[
  {
    "path": ".github/FUNDING.yml",
    "content": "# These are supported funding model platforms\n\ngithub: mementum # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]\npatreon: # Replace with a single Patreon username\nopen_collective: # Replace with a single Open Collective username\nko_fi: # Replace with a single Ko-fi username\ntidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel\ncommunity_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry\nliberapay: # Replace with a single Liberapay username\nissuehunt: # Replace with a single IssueHunt username\notechie: # Replace with a single Otechie username\ncustom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']\n"
  },
  {
    "path": ".gitignore",
    "content": "# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nenv/\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\n*.egg-info/\n.installed.cfg\n*.egg\n\n# PyInstaller\n#  Usually these files are written by a python script from a template\n#  before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.coverage\n.cache\nnosetests.xml\ncoverage.xml\n\n# Translations\n*.mo\n*.pot\n\n# Django stuff:\n*.log\n\n# Sphinx documentation\ndocs/_build/\ndocs2/_build/\n\n# PyBuilder\ntarget/\n\n# Backups\n*.bak\n*~\n.#*\n*#\n*.swp\n*.swo\n\n.ipynb*\nsamples2/\n\n# Ignore test files in Datas\ndatas/*.py\n\n.idea/\n"
  },
  {
    "path": ".travis.yml",
    "content": "dist: xenial\nlanguage: python\npython:\n  - \"3.6\"\n  - \"3.7\"\n  - \"3.8\"\n  - \"nightly\"\n  - \"pypy\"\n  - \"pypy3\"\n\nmatrix:\n  allow_failures:\n    python: \"3.8-dev\"\n    python: \"nightly\"\n\n# command to install dependencies\n# install:\n#  - pip install your_package\n#    pip install git+https://github.com/blampe/IbPy.git\n\n# command to run tests\nscript: cd tests && nosetests -v -v\n"
  },
  {
    "path": "LICENSE",
    "content": "GNU GENERAL PUBLIC LICENSE\n                       Version 3, 29 June 2007\n\n Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n                            Preamble\n\n  The GNU General Public License is a free, copyleft license for\nsoftware and other kinds of works.\n\n  The licenses for most software and other practical works are designed\nto take away your freedom to share and change the works.  By contrast,\nthe GNU General Public License is intended to guarantee your freedom to\nshare and change all versions of a program--to make sure it remains free\nsoftware for all its users.  We, the Free Software Foundation, use the\nGNU General Public License for most of our software; it applies also to\nany other work released this way by its authors.  You can apply it to\nyour programs, too.\n\n  When we speak of free software, we are referring to freedom, not\nprice.  Our General Public Licenses are designed to make sure that you\nhave the freedom to distribute copies of free software (and charge for\nthem if you wish), that you receive source code or can get it if you\nwant it, that you can change the software or use pieces of it in new\nfree programs, and that you know you can do these things.\n\n  To protect your rights, we need to prevent others from denying you\nthese rights or asking you to surrender the rights.  Therefore, you have\ncertain responsibilities if you distribute copies of the software, or if\nyou modify it: responsibilities to respect the freedom of others.\n\n  For example, if you distribute copies of such a program, whether\ngratis or for a fee, you must pass on to the recipients the same\nfreedoms that you received.  You must make sure that they, too, receive\nor can get the source code.  And you must show them these terms so they\nknow their rights.\n\n  Developers that use the GNU GPL protect your rights with two steps:\n(1) assert copyright on the software, and (2) offer you this License\ngiving you legal permission to copy, distribute and/or modify it.\n\n  For the developers' and authors' protection, the GPL clearly explains\nthat there is no warranty for this free software.  For both users' and\nauthors' sake, the GPL requires that modified versions be marked as\nchanged, so that their problems will not be attributed erroneously to\nauthors of previous versions.\n\n  Some devices are designed to deny users access to install or run\nmodified versions of the software inside them, although the manufacturer\ncan do so.  This is fundamentally incompatible with the aim of\nprotecting users' freedom to change the software.  The systematic\npattern of such abuse occurs in the area of products for individuals to\nuse, which is precisely where it is most unacceptable.  Therefore, we\nhave designed this version of the GPL to prohibit the practice for those\nproducts.  If such problems arise substantially in other domains, we\nstand ready to extend this provision to those domains in future versions\nof the GPL, as needed to protect the freedom of users.\n\n  Finally, every program is threatened constantly by software patents.\nStates should not allow patents to restrict development and use of\nsoftware on general-purpose computers, but in those that do, we wish to\navoid the special danger that patents applied to a free program could\nmake it effectively proprietary.  To prevent this, the GPL assures that\npatents cannot be used to render the program non-free.\n\n  The precise terms and conditions for copying, distribution and\nmodification follow.\n\n                       TERMS AND CONDITIONS\n\n  0. Definitions.\n\n  \"This License\" refers to version 3 of the GNU General Public License.\n\n  \"Copyright\" also means copyright-like laws that apply to other kinds of\nworks, such as semiconductor masks.\n\n  \"The Program\" refers to any copyrightable work licensed under this\nLicense.  Each licensee is addressed as \"you\".  \"Licensees\" and\n\"recipients\" may be individuals or organizations.\n\n  To \"modify\" a work means to copy from or adapt all or part of the work\nin a fashion requiring copyright permission, other than the making of an\nexact copy.  The resulting work is called a \"modified version\" of the\nearlier work or a work \"based on\" the earlier work.\n\n  A \"covered work\" means either the unmodified Program or a work based\non the Program.\n\n  To \"propagate\" a work means to do anything with it that, without\npermission, would make you directly or secondarily liable for\ninfringement under applicable copyright law, except executing it on a\ncomputer or modifying a private copy.  Propagation includes copying,\ndistribution (with or without modification), making available to the\npublic, and in some countries other activities as well.\n\n  To \"convey\" a work means any kind of propagation that enables other\nparties to make or receive copies.  Mere interaction with a user through\na computer network, with no transfer of a copy, is not conveying.\n\n  An interactive user interface displays \"Appropriate Legal Notices\"\nto the extent that it includes a convenient and prominently visible\nfeature that (1) displays an appropriate copyright notice, and (2)\ntells the user that there is no warranty for the work (except to the\nextent that warranties are provided), that licensees may convey the\nwork under this License, and how to view a copy of this License.  If\nthe interface presents a list of user commands or options, such as a\nmenu, a prominent item in the list meets this criterion.\n\n  1. Source Code.\n\n  The \"source code\" for a work means the preferred form of the work\nfor making modifications to it.  \"Object code\" means any non-source\nform of a work.\n\n  A \"Standard Interface\" means an interface that either is an official\nstandard defined by a recognized standards body, or, in the case of\ninterfaces specified for a particular programming language, one that\nis widely used among developers working in that language.\n\n  The \"System Libraries\" of an executable work include anything, other\nthan the work as a whole, that (a) is included in the normal form of\npackaging a Major Component, but which is not part of that Major\nComponent, and (b) serves only to enable use of the work with that\nMajor Component, or to implement a Standard Interface for which an\nimplementation is available to the public in source code form.  A\n\"Major Component\", in this context, means a major essential component\n(kernel, window system, and so on) of the specific operating system\n(if any) on which the executable work runs, or a compiler used to\nproduce the work, or an object code interpreter used to run it.\n\n  The \"Corresponding Source\" for a work in object code form means all\nthe source code needed to generate, install, and (for an executable\nwork) run the object code and to modify the work, including scripts to\ncontrol those activities.  However, it does not include the work's\nSystem Libraries, or general-purpose tools or generally available free\nprograms which are used unmodified in performing those activities but\nwhich are not part of the work.  For example, Corresponding Source\nincludes interface definition files associated with source files for\nthe work, and the source code for shared libraries and dynamically\nlinked subprograms that the work is specifically designed to require,\nsuch as by intimate data communication or control flow between those\nsubprograms and other parts of the work.\n\n  The Corresponding Source need not include anything that users\ncan regenerate automatically from other parts of the Corresponding\nSource.\n\n  The Corresponding Source for a work in source code form is that\nsame work.\n\n  2. Basic Permissions.\n\n  All rights granted under this License are granted for the term of\ncopyright on the Program, and are irrevocable provided the stated\nconditions are met.  This License explicitly affirms your unlimited\npermission to run the unmodified Program.  The output from running a\ncovered work is covered by this License only if the output, given its\ncontent, constitutes a covered work.  This License acknowledges your\nrights of fair use or other equivalent, as provided by copyright law.\n\n  You may make, run and propagate covered works that you do not\nconvey, without conditions so long as your license otherwise remains\nin force.  You may convey covered works to others for the sole purpose\nof having them make modifications exclusively for you, or provide you\nwith facilities for running those works, provided that you comply with\nthe terms of this License in conveying all material for which you do\nnot control copyright.  Those thus making or running the covered works\nfor you must do so exclusively on your behalf, under your direction\nand control, on terms that prohibit them from making any copies of\nyour copyrighted material outside their relationship with you.\n\n  Conveying under any other circumstances is permitted solely under\nthe conditions stated below.  Sublicensing is not allowed; section 10\nmakes it unnecessary.\n\n  3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n\n  No covered work shall be deemed part of an effective technological\nmeasure under any applicable law fulfilling obligations under article\n11 of the WIPO copyright treaty adopted on 20 December 1996, or\nsimilar laws prohibiting or restricting circumvention of such\nmeasures.\n\n  When you convey a covered work, you waive any legal power to forbid\ncircumvention of technological measures to the extent such circumvention\nis effected by exercising rights under this License with respect to\nthe covered work, and you disclaim any intention to limit operation or\nmodification of the work as a means of enforcing, against the work's\nusers, your or third parties' legal rights to forbid circumvention of\ntechnological measures.\n\n  4. Conveying Verbatim Copies.\n\n  You may convey verbatim copies of the Program's source code as you\nreceive it, in any medium, provided that you conspicuously and\nappropriately publish on each copy an appropriate copyright notice;\nkeep intact all notices stating that this License and any\nnon-permissive terms added in accord with section 7 apply to the code;\nkeep intact all notices of the absence of any warranty; and give all\nrecipients a copy of this License along with the Program.\n\n  You may charge any price or no price for each copy that you convey,\nand you may offer support or warranty protection for a fee.\n\n  5. Conveying Modified Source Versions.\n\n  You may convey a work based on the Program, or the modifications to\nproduce it from the Program, in the form of source code under the\nterms of section 4, provided that you also meet all of these conditions:\n\n    a) The work must carry prominent notices stating that you modified\n    it, and giving a relevant date.\n\n    b) The work must carry prominent notices stating that it is\n    released under this License and any conditions added under section\n    7.  This requirement modifies the requirement in section 4 to\n    \"keep intact all notices\".\n\n    c) You must license the entire work, as a whole, under this\n    License to anyone who comes into possession of a copy.  This\n    License will therefore apply, along with any applicable section 7\n    additional terms, to the whole of the work, and all its parts,\n    regardless of how they are packaged.  This License gives no\n    permission to license the work in any other way, but it does not\n    invalidate such permission if you have separately received it.\n\n    d) If the work has interactive user interfaces, each must display\n    Appropriate Legal Notices; however, if the Program has interactive\n    interfaces that do not display Appropriate Legal Notices, your\n    work need not make them do so.\n\n  A compilation of a covered work with other separate and independent\nworks, which are not by their nature extensions of the covered work,\nand which are not combined with it such as to form a larger program,\nin or on a volume of a storage or distribution medium, is called an\n\"aggregate\" if the compilation and its resulting copyright are not\nused to limit the access or legal rights of the compilation's users\nbeyond what the individual works permit.  Inclusion of a covered work\nin an aggregate does not cause this License to apply to the other\nparts of the aggregate.\n\n  6. Conveying Non-Source Forms.\n\n  You may convey a covered work in object code form under the terms\nof sections 4 and 5, provided that you also convey the\nmachine-readable Corresponding Source under the terms of this License,\nin one of these ways:\n\n    a) Convey the object code in, or embodied in, a physical product\n    (including a physical distribution medium), accompanied by the\n    Corresponding Source fixed on a durable physical medium\n    customarily used for software interchange.\n\n    b) Convey the object code in, or embodied in, a physical product\n    (including a physical distribution medium), accompanied by a\n    written offer, valid for at least three years and valid for as\n    long as you offer spare parts or customer support for that product\n    model, to give anyone who possesses the object code either (1) a\n    copy of the Corresponding Source for all the software in the\n    product that is covered by this License, on a durable physical\n    medium customarily used for software interchange, for a price no\n    more than your reasonable cost of physically performing this\n    conveying of source, or (2) access to copy the\n    Corresponding Source from a network server at no charge.\n\n    c) Convey individual copies of the object code with a copy of the\n    written offer to provide the Corresponding Source.  This\n    alternative is allowed only occasionally and noncommercially, and\n    only if you received the object code with such an offer, in accord\n    with subsection 6b.\n\n    d) Convey the object code by offering access from a designated\n    place (gratis or for a charge), and offer equivalent access to the\n    Corresponding Source in the same way through the same place at no\n    further charge.  You need not require recipients to copy the\n    Corresponding Source along with the object code.  If the place to\n    copy the object code is a network server, the Corresponding Source\n    may be on a different server (operated by you or a third party)\n    that supports equivalent copying facilities, provided you maintain\n    clear directions next to the object code saying where to find the\n    Corresponding Source.  Regardless of what server hosts the\n    Corresponding Source, you remain obligated to ensure that it is\n    available for as long as needed to satisfy these requirements.\n\n    e) Convey the object code using peer-to-peer transmission, provided\n    you inform other peers where the object code and Corresponding\n    Source of the work are being offered to the general public at no\n    charge under subsection 6d.\n\n  A separable portion of the object code, whose source code is excluded\nfrom the Corresponding Source as a System Library, need not be\nincluded in conveying the object code work.\n\n  A \"User Product\" is either (1) a \"consumer product\", which means any\ntangible personal property which is normally used for personal, family,\nor household purposes, or (2) anything designed or sold for incorporation\ninto a dwelling.  In determining whether a product is a consumer product,\ndoubtful cases shall be resolved in favor of coverage.  For a particular\nproduct received by a particular user, \"normally used\" refers to a\ntypical or common use of that class of product, regardless of the status\nof the particular user or of the way in which the particular user\nactually uses, or expects or is expected to use, the product.  A product\nis a consumer product regardless of whether the product has substantial\ncommercial, industrial or non-consumer uses, unless such uses represent\nthe only significant mode of use of the product.\n\n  \"Installation Information\" for a User Product means any methods,\nprocedures, authorization keys, or other information required to install\nand execute modified versions of a covered work in that User Product from\na modified version of its Corresponding Source.  The information must\nsuffice to ensure that the continued functioning of the modified object\ncode is in no case prevented or interfered with solely because\nmodification has been made.\n\n  If you convey an object code work under this section in, or with, or\nspecifically for use in, a User Product, and the conveying occurs as\npart of a transaction in which the right of possession and use of the\nUser Product is transferred to the recipient in perpetuity or for a\nfixed term (regardless of how the transaction is characterized), the\nCorresponding Source conveyed under this section must be accompanied\nby the Installation Information.  But this requirement does not apply\nif neither you nor any third party retains the ability to install\nmodified object code on the User Product (for example, the work has\nbeen installed in ROM).\n\n  The requirement to provide Installation Information does not include a\nrequirement to continue to provide support service, warranty, or updates\nfor a work that has been modified or installed by the recipient, or for\nthe User Product in which it has been modified or installed.  Access to a\nnetwork may be denied when the modification itself materially and\nadversely affects the operation of the network or violates the rules and\nprotocols for communication across the network.\n\n  Corresponding Source conveyed, and Installation Information provided,\nin accord with this section must be in a format that is publicly\ndocumented (and with an implementation available to the public in\nsource code form), and must require no special password or key for\nunpacking, reading or copying.\n\n  7. Additional Terms.\n\n  \"Additional permissions\" are terms that supplement the terms of this\nLicense by making exceptions from one or more of its conditions.\nAdditional permissions that are applicable to the entire Program shall\nbe treated as though they were included in this License, to the extent\nthat they are valid under applicable law.  If additional permissions\napply only to part of the Program, that part may be used separately\nunder those permissions, but the entire Program remains governed by\nthis License without regard to the additional permissions.\n\n  When you convey a copy of a covered work, you may at your option\nremove any additional permissions from that copy, or from any part of\nit.  (Additional permissions may be written to require their own\nremoval in certain cases when you modify the work.)  You may place\nadditional permissions on material, added by you to a covered work,\nfor which you have or can give appropriate copyright permission.\n\n  Notwithstanding any other provision of this License, for material you\nadd to a covered work, you may (if authorized by the copyright holders of\nthat material) supplement the terms of this License with terms:\n\n    a) Disclaiming warranty or limiting liability differently from the\n    terms of sections 15 and 16 of this License; or\n\n    b) Requiring preservation of specified reasonable legal notices or\n    author attributions in that material or in the Appropriate Legal\n    Notices displayed by works containing it; or\n\n    c) Prohibiting misrepresentation of the origin of that material, or\n    requiring that modified versions of such material be marked in\n    reasonable ways as different from the original version; or\n\n    d) Limiting the use for publicity purposes of names of licensors or\n    authors of the material; or\n\n    e) Declining to grant rights under trademark law for use of some\n    trade names, trademarks, or service marks; or\n\n    f) Requiring indemnification of licensors and authors of that\n    material by anyone who conveys the material (or modified versions of\n    it) with contractual assumptions of liability to the recipient, for\n    any liability that these contractual assumptions directly impose on\n    those licensors and authors.\n\n  All other non-permissive additional terms are considered \"further\nrestrictions\" within the meaning of section 10.  If the Program as you\nreceived it, or any part of it, contains a notice stating that it is\ngoverned by this License along with a term that is a further\nrestriction, you may remove that term.  If a license document contains\na further restriction but permits relicensing or conveying under this\nLicense, you may add to a covered work material governed by the terms\nof that license document, provided that the further restriction does\nnot survive such relicensing or conveying.\n\n  If you add terms to a covered work in accord with this section, you\nmust place, in the relevant source files, a statement of the\nadditional terms that apply to those files, or a notice indicating\nwhere to find the applicable terms.\n\n  Additional terms, permissive or non-permissive, may be stated in the\nform of a separately written license, or stated as exceptions;\nthe above requirements apply either way.\n\n  8. Termination.\n\n  You may not propagate or modify a covered work except as expressly\nprovided under this License.  Any attempt otherwise to propagate or\nmodify it is void, and will automatically terminate your rights under\nthis License (including any patent licenses granted under the third\nparagraph of section 11).\n\n  However, if you cease all violation of this License, then your\nlicense from a particular copyright holder is reinstated (a)\nprovisionally, unless and until the copyright holder explicitly and\nfinally terminates your license, and (b) permanently, if the copyright\nholder fails to notify you of the violation by some reasonable means\nprior to 60 days after the cessation.\n\n  Moreover, your license from a particular copyright holder is\nreinstated permanently if the copyright holder notifies you of the\nviolation by some reasonable means, this is the first time you have\nreceived notice of violation of this License (for any work) from that\ncopyright holder, and you cure the violation prior to 30 days after\nyour receipt of the notice.\n\n  Termination of your rights under this section does not terminate the\nlicenses of parties who have received copies or rights from you under\nthis License.  If your rights have been terminated and not permanently\nreinstated, you do not qualify to receive new licenses for the same\nmaterial under section 10.\n\n  9. Acceptance Not Required for Having Copies.\n\n  You are not required to accept this License in order to receive or\nrun a copy of the Program.  Ancillary propagation of a covered work\noccurring solely as a consequence of using peer-to-peer transmission\nto receive a copy likewise does not require acceptance.  However,\nnothing other than this License grants you permission to propagate or\nmodify any covered work.  These actions infringe copyright if you do\nnot accept this License.  Therefore, by modifying or propagating a\ncovered work, you indicate your acceptance of this License to do so.\n\n  10. Automatic Licensing of Downstream Recipients.\n\n  Each time you convey a covered work, the recipient automatically\nreceives a license from the original licensors, to run, modify and\npropagate that work, subject to this License.  You are not responsible\nfor enforcing compliance by third parties with this License.\n\n  An \"entity transaction\" is a transaction transferring control of an\norganization, or substantially all assets of one, or subdividing an\norganization, or merging organizations.  If propagation of a covered\nwork results from an entity transaction, each party to that\ntransaction who receives a copy of the work also receives whatever\nlicenses to the work the party's predecessor in interest had or could\ngive under the previous paragraph, plus a right to possession of the\nCorresponding Source of the work from the predecessor in interest, if\nthe predecessor has it or can get it with reasonable efforts.\n\n  You may not impose any further restrictions on the exercise of the\nrights granted or affirmed under this License.  For example, you may\nnot impose a license fee, royalty, or other charge for exercise of\nrights granted under this License, and you may not initiate litigation\n(including a cross-claim or counterclaim in a lawsuit) alleging that\nany patent claim is infringed by making, using, selling, offering for\nsale, or importing the Program or any portion of it.\n\n  11. Patents.\n\n  A \"contributor\" is a copyright holder who authorizes use under this\nLicense of the Program or a work on which the Program is based.  The\nwork thus licensed is called the contributor's \"contributor version\".\n\n  A contributor's \"essential patent claims\" are all patent claims\nowned or controlled by the contributor, whether already acquired or\nhereafter acquired, that would be infringed by some manner, permitted\nby this License, of making, using, or selling its contributor version,\nbut do not include claims that would be infringed only as a\nconsequence of further modification of the contributor version.  For\npurposes of this definition, \"control\" includes the right to grant\npatent sublicenses in a manner consistent with the requirements of\nthis License.\n\n  Each contributor grants you a non-exclusive, worldwide, royalty-free\npatent license under the contributor's essential patent claims, to\nmake, use, sell, offer for sale, import and otherwise run, modify and\npropagate the contents of its contributor version.\n\n  In the following three paragraphs, a \"patent license\" is any express\nagreement or commitment, however denominated, not to enforce a patent\n(such as an express permission to practice a patent or covenant not to\nsue for patent infringement).  To \"grant\" such a patent license to a\nparty means to make such an agreement or commitment not to enforce a\npatent against the party.\n\n  If you convey a covered work, knowingly relying on a patent license,\nand the Corresponding Source of the work is not available for anyone\nto copy, free of charge and under the terms of this License, through a\npublicly available network server or other readily accessible means,\nthen you must either (1) cause the Corresponding Source to be so\navailable, or (2) arrange to deprive yourself of the benefit of the\npatent license for this particular work, or (3) arrange, in a manner\nconsistent with the requirements of this License, to extend the patent\nlicense to downstream recipients.  \"Knowingly relying\" means you have\nactual knowledge that, but for the patent license, your conveying the\ncovered work in a country, or your recipient's use of the covered work\nin a country, would infringe one or more identifiable patents in that\ncountry that you have reason to believe are valid.\n\n  If, pursuant to or in connection with a single transaction or\narrangement, you convey, or propagate by procuring conveyance of, a\ncovered work, and grant a patent license to some of the parties\nreceiving the covered work authorizing them to use, propagate, modify\nor convey a specific copy of the covered work, then the patent license\nyou grant is automatically extended to all recipients of the covered\nwork and works based on it.\n\n  A patent license is \"discriminatory\" if it does not include within\nthe scope of its coverage, prohibits the exercise of, or is\nconditioned on the non-exercise of one or more of the rights that are\nspecifically granted under this License.  You may not convey a covered\nwork if you are a party to an arrangement with a third party that is\nin the business of distributing software, under which you make payment\nto the third party based on the extent of your activity of conveying\nthe work, and under which the third party grants, to any of the\nparties who would receive the covered work from you, a discriminatory\npatent license (a) in connection with copies of the covered work\nconveyed by you (or copies made from those copies), or (b) primarily\nfor and in connection with specific products or compilations that\ncontain the covered work, unless you entered into that arrangement,\nor that patent license was granted, prior to 28 March 2007.\n\n  Nothing in this License shall be construed as excluding or limiting\nany implied license or other defenses to infringement that may\notherwise be available to you under applicable patent law.\n\n  12. No Surrender of Others' Freedom.\n\n  If conditions are imposed on you (whether by court order, agreement or\notherwise) that contradict the conditions of this License, they do not\nexcuse you from the conditions of this License.  If you cannot convey a\ncovered work so as to satisfy simultaneously your obligations under this\nLicense and any other pertinent obligations, then as a consequence you may\nnot convey it at all.  For example, if you agree to terms that obligate you\nto collect a royalty for further conveying from those to whom you convey\nthe Program, the only way you could satisfy both those terms and this\nLicense would be to refrain entirely from conveying the Program.\n\n  13. Use with the GNU Affero General Public License.\n\n  Notwithstanding any other provision of this License, you have\npermission to link or combine any covered work with a work licensed\nunder version 3 of the GNU Affero General Public License into a single\ncombined work, and to convey the resulting work.  The terms of this\nLicense will continue to apply to the part which is the covered work,\nbut the special requirements of the GNU Affero General Public License,\nsection 13, concerning interaction through a network will apply to the\ncombination as such.\n\n  14. Revised Versions of this License.\n\n  The Free Software Foundation may publish revised and/or new versions of\nthe GNU General Public License from time to time.  Such new versions will\nbe similar in spirit to the present version, but may differ in detail to\naddress new problems or concerns.\n\n  Each version is given a distinguishing version number.  If the\nProgram specifies that a certain numbered version of the GNU General\nPublic License \"or any later version\" applies to it, you have the\noption of following the terms and conditions either of that numbered\nversion or of any later version published by the Free Software\nFoundation.  If the Program does not specify a version number of the\nGNU General Public License, you may choose any version ever published\nby the Free Software Foundation.\n\n  If the Program specifies that a proxy can decide which future\nversions of the GNU General Public License can be used, that proxy's\npublic statement of acceptance of a version permanently authorizes you\nto choose that version for the Program.\n\n  Later license versions may give you additional or different\npermissions.  However, no additional obligations are imposed on any\nauthor or copyright holder as a result of your choosing to follow a\nlater version.\n\n  15. Disclaimer of Warranty.\n\n  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY\nAPPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT\nHOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM \"AS IS\" WITHOUT WARRANTY\nOF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,\nTHE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\nPURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM\nIS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF\nALL NECESSARY SERVICING, REPAIR OR CORRECTION.\n\n  16. Limitation of Liability.\n\n  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING\nWILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS\nTHE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY\nGENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE\nUSE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF\nDATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD\nPARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),\nEVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF\nSUCH DAMAGES.\n\n  17. Interpretation of Sections 15 and 16.\n\n  If the disclaimer of warranty and limitation of liability provided\nabove cannot be given local legal effect according to their terms,\nreviewing courts shall apply local law that most closely approximates\nan absolute waiver of all civil liability in connection with the\nProgram, unless a warranty or assumption of liability accompanies a\ncopy of the Program in return for a fee.\n\n                     END OF TERMS AND CONDITIONS\n\n            How to Apply These Terms to Your New Programs\n\n  If you develop a new program, and you want it to be of the greatest\npossible use to the public, the best way to achieve this is to make it\nfree software which everyone can redistribute and change under these terms.\n\n  To do so, attach the following notices to the program.  It is safest\nto attach them to the start of each source file to most effectively\nstate the exclusion of warranty; and each file should have at least\nthe \"copyright\" line and a pointer to where the full notice is found.\n\n    {one line to give the program's name and a brief idea of what it does.}\n    Copyright (C) {year}  {name of author}\n\n    This program is free software: you can redistribute it and/or modify\n    it under the terms of the GNU General Public License as published by\n    the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    This program is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU General Public License for more details.\n\n    You should have received a copy of the GNU General Public License\n    along with this program.  If not, see <http://www.gnu.org/licenses/>.\n\nAlso add information on how to contact you by electronic and paper mail.\n\n  If the program does terminal interaction, make it output a short\nnotice like this when it starts in an interactive mode:\n\n    {project}  Copyright (C) {year}  {fullname}\n    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.\n    This is free software, and you are welcome to redistribute it\n    under certain conditions; type `show c' for details.\n\nThe hypothetical commands `show w' and `show c' should show the appropriate\nparts of the General Public License.  Of course, your program's commands\nmight be different; for a GUI interface, you would use an \"about box\".\n\n  You should also get your employer (if you work as a programmer) or school,\nif any, to sign a \"copyright disclaimer\" for the program, if necessary.\nFor more information on this, and how to apply and follow the GNU GPL, see\n<http://www.gnu.org/licenses/>.\n\n  The GNU General Public License does not permit incorporating your program\ninto proprietary programs.  If your program is a subroutine library, you\nmay consider it more useful to permit linking proprietary applications with\nthe library.  If this is what you want to do, use the GNU Lesser General\nPublic License instead of this License.  But first, please read\n<http://www.gnu.org/philosophy/why-not-lgpl.html>.\n"
  },
  {
    "path": "README.rst",
    "content": "backtrader\n==========\n\n.. image:: https://img.shields.io/pypi/v/backtrader.svg\n   :alt: PyPi Version\n   :scale: 100%\n   :target: https://pypi.python.org/pypi/backtrader/\n\n..  .. image:: https://img.shields.io/pypi/dm/backtrader.svg\n       :alt: PyPi Monthly Donwloads\n       :scale: 100%\n       :target: https://pypi.python.org/pypi/backtrader/\n\n.. image:: https://img.shields.io/pypi/l/backtrader.svg\n   :alt: License\n   :scale: 100%\n   :target: https://github.com/backtrader/backtrader/blob/master/LICENSE\n.. image:: https://travis-ci.org/backtrader/backtrader.png?branch=master\n   :alt: Travis-ci Build Status\n   :scale: 100%\n   :target: https://travis-ci.org/backtrader/backtrader\n.. image:: https://img.shields.io/pypi/pyversions/backtrader.svg\n   :alt: Python versions\n   :scale: 100%\n   :target: https://pypi.python.org/pypi/backtrader/\n\n**Yahoo API Note**:\n\n  [2018-11-16] After some testing it would seem that data downloads can be\n  again relied upon over the web interface (or API ``v7``)\n\n**Tickets**\n\n  The ticket system is (was, actually) more often than not abused to ask for\n  advice about samples.\n\nFor **feedback/questions/...** use the `Community <https://community.backtrader.com>`_\n\nHere a snippet of a Simple Moving Average CrossOver. It can be done in several\ndifferent ways. Use the docs (and examples) Luke!\n::\n\n  from datetime import datetime\n  import backtrader as bt\n\n  class SmaCross(bt.SignalStrategy):\n      def __init__(self):\n          sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)\n          crossover = bt.ind.CrossOver(sma1, sma2)\n          self.signal_add(bt.SIGNAL_LONG, crossover)\n\n  cerebro = bt.Cerebro()\n  cerebro.addstrategy(SmaCross)\n\n  data0 = bt.feeds.YahooFinanceData(dataname='MSFT', fromdate=datetime(2011, 1, 1),\n                                    todate=datetime(2012, 12, 31))\n  cerebro.adddata(data0)\n\n  cerebro.run()\n  cerebro.plot()\n\nIncluding a full featured chart. Give it a try! This is included in the samples\nas ``sigsmacross/sigsmacross2.py``. Along it is ``sigsmacross.py`` which can be\nparametrized from the command line.\n\nFeatures:\n=========\n\nLive Trading and backtesting platform written in Python.\n\n  - Live Data Feed and Trading with\n\n    - Interactive Brokers (needs ``IbPy`` and benefits greatly from an\n      installed ``pytz``)\n    - *Visual Chart* (needs a fork of ``comtypes`` until a pull request is\n      integrated in the release and benefits from ``pytz``)\n    - *Oanda* (needs ``oandapy``) (REST API Only - v20 did not support\n      streaming when implemented)\n\n  - Data feeds from csv/files, online sources or from *pandas* and *blaze*\n  - Filters for datas, like breaking a daily bar into chunks to simulate\n    intraday or working with Renko bricks\n  - Multiple data feeds and multiple strategies supported\n  - Multiple timeframes at once\n  - Integrated Resampling and Replaying\n  - Step by Step backtesting or at once (except in the evaluation of the Strategy)\n  - Integrated battery of indicators\n  - *TA-Lib* indicator support (needs python *ta-lib* / check the docs)\n  - Easy development of custom indicators\n  - Analyzers (for example: TimeReturn, Sharpe Ratio, SQN) and ``pyfolio``\n    integration (**deprecated**)\n  - Flexible definition of commission schemes\n  - Integrated broker simulation with *Market*, *Close*, *Limit*, *Stop*,\n    *StopLimit*, *StopTrail*, *StopTrailLimit*and *OCO* orders, bracket order,\n    slippage, volume filling strategies and continuous cash adjustmet for\n    future-like instruments\n  - Sizers for automated staking\n  - Cheat-on-Close and Cheat-on-Open modes\n  - Schedulers\n  - Trading Calendars\n  - Plotting (requires matplotlib)\n\nDocumentation\n=============\n\nThe blog:\n\n  - `Blog <http://www.backtrader.com/blog>`_\n\nRead the full documentation at:\n\n  - `Documentation <http://www.backtrader.com/docu>`_\n\nList of built-in Indicators (122)\n\n  - `Indicators Reference <http://www.backtrader.com/docu/indautoref.html>`_\n\nPython 2/3 Support\n==================\n\n  - Python >= ``3.2``\n\n  - It also works with ``pypy`` and ``pypy3`` (no plotting - ``matplotlib`` is\n    not supported under *pypy*)\n\nInstallation\n============\n\n``backtrader`` is self-contained with no external dependencies (except if you\nwant to plot)\n\nFrom *pypi*:\n\n  - ``pip install backtrader``\n\n  - ``pip install backtrader[plotting]``\n\n    If ``matplotlib`` is not installed and you wish to do some plotting\n\n.. note:: The minimum matplotlib version is ``1.4.1``\n\nAn example for *IB* Data Feeds/Trading:\n\n  - ``IbPy`` doesn't seem to be in PyPi. Do either::\n\n      pip install git+https://github.com/blampe/IbPy.git\n\n    or (if ``git`` is not available in your system)::\n\n      pip install https://github.com/blampe/IbPy/archive/master.zip\n\nFor other functionalities like: ``Visual Chart``, ``Oanda``, ``TA-Lib``, check\nthe dependencies in the documentation.\n\nFrom source:\n\n  - Place the *backtrader* directory found in the sources inside your project\n\nVersion numbering\n=================\n\nX.Y.Z.I\n\n  - X: Major version number. Should stay stable unless something big is changed\n    like an overhaul to use ``numpy``\n  - Y: Minor version number. To be changed upon adding a complete new feature or\n    (god forbids) an incompatible API change.\n  - Z: Revision version number. To be changed for documentation updates, small\n    changes, small bug fixes\n  - I: Number of Indicators already built into the platform\n"
  },
  {
    "path": "backtrader/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom .version import __version__, __btversion__\n\nfrom .errors import *\nfrom . import errors as errors\n\nfrom .utils import num2date, date2num, time2num, num2time\n\nfrom .linebuffer import *\nfrom .functions import *\n\nfrom .order import *\nfrom .comminfo import *\nfrom .trade import *\nfrom .position import *\n\nfrom .store import Store\n\nfrom . import broker as broker\nfrom .broker import *\n\nfrom .lineseries import *\n\nfrom .dataseries import *\nfrom .feed import *\nfrom .resamplerfilter import *\n\nfrom .lineiterator import *\nfrom .indicator import *\nfrom .analyzer import *\nfrom .observer import *\nfrom .sizer import *\nfrom .sizers import SizerFix  # old sizer for compatibility\nfrom .strategy import *\n\nfrom .writer import *\n\nfrom .signal import *\n\nfrom .cerebro import *\nfrom .timer import *\nfrom .flt import *\n\nfrom . import utils as utils\n\nfrom . import feeds as feeds\nfrom . import indicators as indicators\nfrom . import indicators as ind\nfrom . import studies as studies\nfrom . import strategies as strategies\nfrom . import strategies as strats\nfrom . import observers as observers\nfrom . import observers as obs\nfrom . import analyzers as analyzers\nfrom . import commissions as commissions\nfrom . import commissions as comms\nfrom . import filters as filters\nfrom . import signals as signals\nfrom . import sizers as sizers\nfrom . import stores as stores\nfrom . import brokers as brokers\nfrom . import timer as timer\n\nfrom . import talib as talib\n\n# Load contributed indicators and studies\nimport backtrader.indicators.contrib\nimport backtrader.studies.contrib\n"
  },
  {
    "path": "backtrader/analyzer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport calendar\nfrom collections import OrderedDict\nimport datetime\nimport pprint as pp\n\nimport backtrader as bt\nfrom backtrader import TimeFrame\nfrom backtrader.utils.py3 import MAXINT, with_metaclass\n\n\nclass MetaAnalyzer(bt.MetaParams):\n    def donew(cls, *args, **kwargs):\n        '''\n        Intercept the strategy parameter\n        '''\n        # Create the object and set the params in place\n        _obj, args, kwargs = super(MetaAnalyzer, cls).donew(*args, **kwargs)\n\n        _obj._children = list()\n\n        _obj.strategy = strategy = bt.metabase.findowner(_obj, bt.Strategy)\n        _obj._parent = bt.metabase.findowner(_obj, Analyzer)\n\n        # Register with a master observer if created inside one\n        masterobs = bt.metabase.findowner(_obj, bt.Observer)\n        if masterobs is not None:\n            masterobs._register_analyzer(_obj)\n\n        _obj.datas = strategy.datas\n\n        # For each data add aliases: for first data: data and data0\n        if _obj.datas:\n            _obj.data = data = _obj.datas[0]\n\n            for l, line in enumerate(data.lines):\n                linealias = data._getlinealias(l)\n                if linealias:\n                    setattr(_obj, 'data_%s' % linealias, line)\n                setattr(_obj, 'data_%d' % l, line)\n\n            for d, data in enumerate(_obj.datas):\n                setattr(_obj, 'data%d' % d, data)\n\n                for l, line in enumerate(data.lines):\n                    linealias = data._getlinealias(l)\n                    if linealias:\n                        setattr(_obj, 'data%d_%s' % (d, linealias), line)\n                    setattr(_obj, 'data%d_%d' % (d, l), line)\n\n        _obj.create_analysis()\n\n        # Return to the normal chain\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaAnalyzer, cls).dopostinit(_obj, *args, **kwargs)\n\n        if _obj._parent is not None:\n            _obj._parent._register(_obj)\n\n        # Return to the normal chain\n        return _obj, args, kwargs\n\n\nclass Analyzer(with_metaclass(MetaAnalyzer, object)):\n    '''Analyzer base class. All analyzers are subclass of this one\n\n    An Analyzer instance operates in the frame of a strategy and provides an\n    analysis for that strategy.\n\n    Automagically set member attributes:\n\n      - ``self.strategy`` (giving access to the *strategy* and anything\n        accessible from it)\n\n      - ``self.datas[x]`` giving access to the array of data feeds present in\n        the the system, which could also be accessed via the strategy reference\n\n      - ``self.data``, giving access to ``self.datas[0]``\n\n      - ``self.dataX`` -> ``self.datas[X]``\n\n      - ``self.dataX_Y`` -> ``self.datas[X].lines[Y]``\n\n      - ``self.dataX_name`` -> ``self.datas[X].name``\n\n      - ``self.data_name`` -> ``self.datas[0].name``\n\n      - ``self.data_Y`` -> ``self.datas[0].lines[Y]``\n\n    This is not a *Lines* object, but the methods and operation follow the same\n    design\n\n      - ``__init__`` during instantiation and initial setup\n\n      - ``start`` / ``stop`` to signal the begin and end of operations\n\n      - ``prenext`` / ``nextstart`` / ``next`` family of methods that follow\n        the calls made to the same methods in the strategy\n\n      - ``notify_trade`` / ``notify_order`` / ``notify_cashvalue`` /\n        ``notify_fund`` which receive the same notifications as the equivalent\n        methods of the strategy\n\n    The mode of operation is open and no pattern is preferred. As such the\n    analysis can be generated with the ``next`` calls, at the end of operations\n    during ``stop`` and even with a single method like ``notify_trade``\n\n    The important thing is to override ``get_analysis`` to return a *dict-like*\n    object containing the results of the analysis (the actual format is\n    implementation dependent)\n\n    '''\n    csv = True\n\n    def __len__(self):\n        '''Support for invoking ``len`` on analyzers by actually returning the\n        current length of the strategy the analyzer operates on'''\n        return len(self.strategy)\n\n    def _register(self, child):\n        self._children.append(child)\n\n    def _prenext(self):\n        for child in self._children:\n            child._prenext()\n\n        self.prenext()\n\n    def _notify_cashvalue(self, cash, value):\n        for child in self._children:\n            child._notify_cashvalue(cash, value)\n\n        self.notify_cashvalue(cash, value)\n\n    def _notify_fund(self, cash, value, fundvalue, shares):\n        for child in self._children:\n            child._notify_fund(cash, value, fundvalue, shares)\n\n        self.notify_fund(cash, value, fundvalue, shares)\n\n    def _notify_trade(self, trade):\n        for child in self._children:\n            child._notify_trade(trade)\n\n        self.notify_trade(trade)\n\n    def _notify_order(self, order):\n        for child in self._children:\n            child._notify_order(order)\n\n        self.notify_order(order)\n\n    def _nextstart(self):\n        for child in self._children:\n            child._nextstart()\n\n        self.nextstart()\n\n    def _next(self):\n        for child in self._children:\n            child._next()\n\n        self.next()\n\n    def _start(self):\n        for child in self._children:\n            child._start()\n\n        self.start()\n\n    def _stop(self):\n        for child in self._children:\n            child._stop()\n\n        self.stop()\n\n    def notify_cashvalue(self, cash, value):\n        '''Receives the cash/value notification before each next cycle'''\n        pass\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        '''Receives the current cash, value, fundvalue and fund shares'''\n        pass\n\n    def notify_order(self, order):\n        '''Receives order notifications before each next cycle'''\n        pass\n\n    def notify_trade(self, trade):\n        '''Receives trade notifications before each next cycle'''\n        pass\n\n    def next(self):\n        '''Invoked for each next invocation of the strategy, once the minum\n        preiod of the strategy has been reached'''\n        pass\n\n    def prenext(self):\n        '''Invoked for each prenext invocation of the strategy, until the minimum\n        period of the strategy has been reached\n\n        The default behavior for an analyzer is to invoke ``next``\n        '''\n        self.next()\n\n    def nextstart(self):\n        '''Invoked exactly once for the nextstart invocation of the strategy,\n        when the minimum period has been first reached\n        '''\n        self.next()\n\n    def start(self):\n        '''Invoked to indicate the start of operations, giving the analyzer\n        time to setup up needed things'''\n        pass\n\n    def stop(self):\n        '''Invoked to indicate the end of operations, giving the analyzer\n        time to shut down needed things'''\n        pass\n\n    def create_analysis(self):\n        '''Meant to be overriden by subclasses. Gives a chance to create the\n        structures that hold the analysis.\n\n        The default behaviour is to create a ``OrderedDict`` named ``rets``\n        '''\n        self.rets = OrderedDict()\n\n    def get_analysis(self):\n        '''Returns a *dict-like* object with the results of the analysis\n\n        The keys and format of analysis results in the dictionary is\n        implementation dependent.\n\n        It is not even enforced that the result is a *dict-like object*, just\n        the convention\n\n        The default implementation returns the default OrderedDict ``rets``\n        created by the default ``create_analysis`` method\n\n        '''\n        return self.rets\n\n    def print(self, *args, **kwargs):\n        '''Prints the results returned by ``get_analysis`` via a standard\n        ``Writerfile`` object, which defaults to writing things to standard\n        output\n        '''\n        writer = bt.WriterFile(*args, **kwargs)\n        writer.start()\n        pdct = dict()\n        pdct[self.__class__.__name__] = self.get_analysis()\n        writer.writedict(pdct)\n        writer.stop()\n\n    def pprint(self, *args, **kwargs):\n        '''Prints the results returned by ``get_analysis`` using the pretty\n        print Python module (*pprint*)\n        '''\n        pp.pprint(self.get_analysis(), *args, **kwargs)\n\n\nclass MetaTimeFrameAnalyzerBase(Analyzer.__class__):\n    def __new__(meta, name, bases, dct):\n        # Hack to support original method name\n        if '_on_dt_over' in dct:\n            dct['on_dt_over'] = dct.pop('_on_dt_over')  # rename method\n\n        return super(MetaTimeFrameAnalyzerBase, meta).__new__(meta, name,\n                                                              bases, dct)\n\n\nclass TimeFrameAnalyzerBase(with_metaclass(MetaTimeFrameAnalyzerBase,\n                                           Analyzer)):\n    params = (\n        ('timeframe', None),\n        ('compression', None),\n        ('_doprenext', True),\n    )\n\n    def _start(self):\n        # Override to add specific attributes\n        self.timeframe = self.p.timeframe or self.data._timeframe\n        self.compression = self.p.compression or self.data._compression\n\n        self.dtcmp, self.dtkey = self._get_dt_cmpkey(datetime.datetime.min)\n        super(TimeFrameAnalyzerBase, self)._start()\n\n    def _prenext(self):\n        for child in self._children:\n            child._prenext()\n\n        if self._dt_over():\n            self.on_dt_over()\n\n        if self.p._doprenext:\n            self.prenext()\n\n    def _nextstart(self):\n        for child in self._children:\n            child._nextstart()\n\n        if self._dt_over() or not self.p._doprenext:  # exec if no prenext\n            self.on_dt_over()\n\n        self.nextstart()\n\n    def _next(self):\n        for child in self._children:\n            child._next()\n\n        if self._dt_over():\n            self.on_dt_over()\n\n        self.next()\n\n    def on_dt_over(self):\n        pass\n\n    def _dt_over(self):\n        if self.timeframe == TimeFrame.NoTimeFrame:\n            dtcmp, dtkey = MAXINT, datetime.datetime.max\n        else:\n            # With >= 1.9.x the system datetime is in the strategy\n            dt = self.strategy.datetime.datetime()\n            dtcmp, dtkey = self._get_dt_cmpkey(dt)\n\n        if self.dtcmp is None or dtcmp > self.dtcmp:\n            self.dtkey, self.dtkey1 = dtkey, self.dtkey\n            self.dtcmp, self.dtcmp1 = dtcmp, self.dtcmp\n            return True\n\n        return False\n\n    def _get_dt_cmpkey(self, dt):\n        if self.timeframe == TimeFrame.NoTimeFrame:\n            return None, None\n\n        if self.timeframe == TimeFrame.Years:\n            dtcmp = dt.year\n            dtkey = datetime.date(dt.year, 12, 31)\n\n        elif self.timeframe == TimeFrame.Months:\n            dtcmp = dt.year * 100 + dt.month\n            _, lastday = calendar.monthrange(dt.year, dt.month)\n            dtkey = datetime.datetime(dt.year, dt.month, lastday)\n\n        elif self.timeframe == TimeFrame.Weeks:\n            isoyear, isoweek, isoweekday = dt.isocalendar()\n            dtcmp = isoyear * 100 + isoweek\n            sunday = dt + datetime.timedelta(days=7 - isoweekday)\n            dtkey = datetime.datetime(sunday.year, sunday.month, sunday.day)\n\n        elif self.timeframe == TimeFrame.Days:\n            dtcmp = dt.year * 10000 + dt.month * 100 + dt.day\n            dtkey = datetime.datetime(dt.year, dt.month, dt.day)\n\n        else:\n            dtcmp, dtkey = self._get_subday_cmpkey(dt)\n\n        return dtcmp, dtkey\n\n    def _get_subday_cmpkey(self, dt):\n        # Calculate intraday position\n        point = dt.hour * 60 + dt.minute\n\n        if self.timeframe < TimeFrame.Minutes:\n            point = point * 60 + dt.second\n\n        if self.timeframe < TimeFrame.Seconds:\n            point = point * 1e6 + dt.microsecond\n\n        # Apply compression to update point position (comp 5 -> 200 // 5)\n        point = point // self.compression\n\n        # Move to next boundary\n        point += 1\n\n        # Restore point to the timeframe units by de-applying compression\n        point *= self.compression\n\n        # Get hours, minutes, seconds and microseconds\n        if self.timeframe == TimeFrame.Minutes:\n            ph, pm = divmod(point, 60)\n            ps = 0\n            pus = 0\n        elif self.timeframe == TimeFrame.Seconds:\n            ph, pm = divmod(point, 60 * 60)\n            pm, ps = divmod(pm, 60)\n            pus = 0\n        elif self.timeframe == TimeFrame.MicroSeconds:\n            ph, pm = divmod(point, 60 * 60 * 1e6)\n            pm, psec = divmod(pm, 60 * 1e6)\n            ps, pus = divmod(psec, 1e6)\n\n        extradays = 0\n        if ph > 23:  # went over midnight:\n            extradays = ph // 24\n            ph %= 24\n\n        # moving 1 minor unit to the left to be in the boundary\n        # pm -= self.timeframe == TimeFrame.Minutes\n        # ps -= self.timeframe == TimeFrame.Seconds\n        # pus -= self.timeframe == TimeFrame.MicroSeconds\n\n        tadjust = datetime.timedelta(\n            minutes=self.timeframe == TimeFrame.Minutes,\n            seconds=self.timeframe == TimeFrame.Seconds,\n            microseconds=self.timeframe == TimeFrame.MicroSeconds)\n\n        # Add extra day if present\n        if extradays:\n            dt += datetime.timedelta(days=extradays)\n\n        # Replace intraday parts with the calculated ones and update it\n        dtcmp = dt.replace(hour=ph, minute=pm, second=ps, microsecond=pus)\n        dtcmp -= tadjust\n        dtkey = dtcmp\n\n        return dtcmp, dtkey\n"
  },
  {
    "path": "backtrader/analyzers/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the objects wishes\n# or prepend an \"_\" (underscore) to private classes/variables\n\nfrom .annualreturn import *\nfrom .drawdown import *\nfrom .timereturn import *\nfrom .sharpe import *\nfrom .tradeanalyzer import *\nfrom .sqn import *\nfrom .leverage import *\nfrom .positions import *\nfrom .transactions import *\nfrom .pyfolio import *\nfrom .returns import *\nfrom .vwr import *\n\nfrom .logreturnsrolling import *\n\nfrom .calmar import *\nfrom .periodstats import *\n"
  },
  {
    "path": "backtrader/analyzers/annualreturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom collections import OrderedDict\n\nfrom backtrader.utils.py3 import range\nfrom backtrader import Analyzer\n\n\nclass AnnualReturn(Analyzer):\n    '''\n    This analyzer calculates the AnnualReturns by looking at the beginning\n    and end of the year\n\n    Params:\n\n      - (None)\n\n    Member Attributes:\n\n      - ``rets``: list of calculated annual returns\n\n      - ``ret``: dictionary (key: year) of annual returns\n\n    **get_analysis**:\n\n      - Returns a dictionary of annual returns (key: year)\n    '''\n\n    def stop(self):\n        # Must have stats.broker\n        cur_year = -1\n\n        value_start = 0.0\n        value_cur = 0.0\n        value_end = 0.0\n\n        self.rets = list()\n        self.ret = OrderedDict()\n\n        for i in range(len(self.data) - 1, -1, -1):\n            dt = self.data.datetime.date(-i)\n            value_cur = self.strategy.stats.broker.value[-i]\n\n            if dt.year > cur_year:\n                if cur_year >= 0:\n                    annualret = (value_end / value_start) - 1.0\n                    self.rets.append(annualret)\n                    self.ret[cur_year] = annualret\n\n                    # changing between real years, use last value as new start\n                    value_start = value_end\n                else:\n                    # No value set whatsoever, use the currently loaded value\n                    value_start = value_cur\n\n                cur_year = dt.year\n\n            # No matter what, the last value is always the last loaded value\n            value_end = value_cur\n\n        if cur_year not in self.ret:\n            # finish calculating pending data\n            annualret = (value_end / value_start) - 1.0\n            self.rets.append(annualret)\n            self.ret[cur_year] = annualret\n\n    def get_analysis(self):\n        return self.ret\n"
  },
  {
    "path": "backtrader/analyzers/calmar.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import TimeDrawDown\n\n\n__all__ = ['Calmar']\n\n\nclass Calmar(bt.TimeFrameAnalyzerBase):\n    '''This analyzer calculates the CalmarRatio\n    timeframe which can be different from the one used in the underlying data\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n      - *None*\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    See also:\n\n      - https://en.wikipedia.org/wiki/Calmar_ratio\n\n    Methods:\n      - ``get_analysis``\n\n        Returns a OrderedDict with a key for the time period and the\n        corresponding rolling Calmar ratio\n\n    Attributes:\n      - ``calmar`` the latest calculated calmar ratio\n    '''\n\n    packages = ('collections', 'math',)\n\n    params = (\n        ('timeframe', bt.TimeFrame.Months),  # default in calmar\n        ('period', 36),\n        ('fund', None),\n    )\n\n    def __init__(self):\n        self._maxdd = TimeDrawDown(timeframe=self.p.timeframe,\n                                   compression=self.p.compression)\n\n    def start(self):\n        self._mdd = float('-inf')\n        self._values = collections.deque([float('Nan')] * self.p.period,\n                                         maxlen=self.p.period)\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        if not self._fundmode:\n            self._values.append(self.strategy.broker.getvalue())\n        else:\n            self._values.append(self.strategy.broker.fundvalue)\n\n    def on_dt_over(self):\n        self._mdd = max(self._mdd, self._maxdd.maxdd)\n        if not self._fundmode:\n            self._values.append(self.strategy.broker.getvalue())\n        else:\n            self._values.append(self.strategy.broker.fundvalue)\n        rann = math.log(self._values[-1] / self._values[0]) / len(self._values)\n        self.calmar = calmar = rann / (self._mdd or float('Inf'))\n\n        self.rets[self.dtkey] = calmar\n\n    def stop(self):\n        self.on_dt_over()  # update last values\n"
  },
  {
    "path": "backtrader/analyzers/drawdown.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom backtrader.utils import AutoOrderedDict\n\n\n__all__ = ['DrawDown', 'TimeDrawDown']\n\n\nclass DrawDown(bt.Analyzer):\n    '''This analyzer calculates trading system drawdowns stats such as drawdown\n    values in %s and in dollars, max drawdown in %s and in dollars, drawdown\n    length and drawdown max length\n\n    Params:\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - ``get_analysis``\n\n        Returns a dictionary (with . notation support and subdctionaries) with\n        drawdown stats as values, the following keys/attributes are available:\n\n        - ``drawdown`` - drawdown value in 0.xx %\n        - ``moneydown`` - drawdown value in monetary units\n        - ``len`` - drawdown length\n\n        - ``max.drawdown`` - max drawdown value in 0.xx %\n        - ``max.moneydown`` - max drawdown value in monetary units\n        - ``max.len`` - max drawdown length\n    '''\n\n    params = (\n        ('fund', None),\n    )\n\n    def start(self):\n        super(DrawDown, self).start()\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n    def create_analysis(self):\n        self.rets = AutoOrderedDict()  # dict with . notation\n\n        self.rets.len = 0\n        self.rets.drawdown = 0.0\n        self.rets.moneydown = 0.0\n\n        self.rets.max.len = 0.0\n        self.rets.max.drawdown = 0.0\n        self.rets.max.moneydown = 0.0\n\n        self._maxvalue = float('-inf')  # any value will outdo it\n\n    def stop(self):\n        self.rets._close()  # . notation cannot create more keys\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        if not self._fundmode:\n            self._value = value  # record current value\n            self._maxvalue = max(self._maxvalue, value)  # update peak value\n        else:\n            self._value = fundvalue  # record current value\n            self._maxvalue = max(self._maxvalue, fundvalue)  # update peak\n\n    def next(self):\n        r = self.rets\n\n        # calculate current drawdown values\n        r.moneydown = moneydown = self._maxvalue - self._value\n        r.drawdown = drawdown = 100.0 * moneydown / self._maxvalue\n\n        # maxximum drawdown values\n        r.max.moneydown = max(r.max.moneydown, moneydown)\n        r.max.drawdown = maxdrawdown = max(r.max.drawdown, drawdown)\n\n        r.len = r.len + 1 if drawdown else 0\n        r.max.len = max(r.max.len, r.len)\n\n\nclass TimeDrawDown(bt.TimeFrameAnalyzerBase):\n    '''This analyzer calculates trading system drawdowns on the chosen\n    timeframe which can be different from the one used in the underlying data\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n      - *None*\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - ``get_analysis``\n\n        Returns a dictionary (with . notation support and subdctionaries) with\n        drawdown stats as values, the following keys/attributes are available:\n\n        - ``drawdown`` - drawdown value in 0.xx %\n        - ``maxdrawdown`` - drawdown value in monetary units\n        - ``maxdrawdownperiod`` - drawdown length\n\n      - Those are available during runs as attributes\n        - ``dd``\n        - ``maxdd``\n        - ``maxddlen``\n    '''\n\n    params = (\n        ('fund', None),\n    )\n\n    def start(self):\n        super(TimeDrawDown, self).start()\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n        self.dd = 0.0\n        self.maxdd = 0.0\n        self.maxddlen = 0\n        self.peak = float('-inf')\n        self.ddlen = 0\n\n    def on_dt_over(self):\n        if not self._fundmode:\n            value = self.strategy.broker.getvalue()\n        else:\n            value = self.strategy.broker.fundvalue\n\n        # update the maximum seen peak\n        if value > self.peak:\n            self.peak = value\n            self.ddlen = 0  # start of streak\n\n        # calculate the current drawdown\n        self.dd = dd = 100.0 * (self.peak - value) / self.peak\n        self.ddlen += bool(dd)  # if peak == value -> dd = 0\n\n        # update the maxdrawdown if needed\n        self.maxdd = max(self.maxdd, dd)\n        self.maxddlen = max(self.maxddlen, self.ddlen)\n\n    def stop(self):\n        self.rets['maxdrawdown'] = self.maxdd\n        self.rets['maxdrawdownperiod'] = self.maxddlen\n"
  },
  {
    "path": "backtrader/analyzers/leverage.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n\nclass GrossLeverage(bt.Analyzer):\n    '''This analyzer calculates the Gross Leverage of the current strategy\n    on a timeframe basis\n\n    Params:\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n\n    params = (\n        ('fund', None),\n    )\n\n    def start(self):\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        self._cash = cash\n        if not self._fundmode:\n            self._value = value\n        else:\n            self._value = fundvalue\n\n    def next(self):\n        # Updates the leverage for \"dtkey\" (see base class) for each cycle\n        # 0.0 if 100% in cash, 1.0 if no short selling and fully invested\n        lev = (self._value - self._cash) / self._value\n        self.rets[self.data0.datetime.datetime()] = lev\n"
  },
  {
    "path": "backtrader/analyzers/logreturnsrolling.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport math\n\nimport backtrader as bt\n\n\n__all__ = ['LogReturnsRolling']\n\n\nclass LogReturnsRolling(bt.TimeFrameAnalyzerBase):\n    '''This analyzer calculates rolling returns for a given timeframe and\n    compression\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - ``data`` (default: ``None``)\n\n        Reference asset to track instead of the portfolio value.\n\n        .. note:: this data must have been added to a ``cerebro`` instance with\n                  ``addata``, ``resampledata`` or ``replaydata``\n\n      - ``firstopen`` (default: ``True``)\n\n        When tracking the returns of a ``data`` the following is done when\n        crossing a timeframe boundary, for example ``Years``:\n\n          - Last ``close`` of previous year is used as the reference price to\n            see the return in the current year\n\n        The problem is the 1st calculation, because the data has** no\n        previous** closing price. As such and when this parameter is ``True``\n        the *opening* price will be used for the 1st calculation.\n\n        This requires the data feed to have an ``open`` price (for ``close``\n        the standard [0] notation will be used without reference to a field\n        price)\n\n        Else the initial close will be used.\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n\n    params = (\n        ('data', None),\n        ('firstopen', True),\n        ('fund', None),\n    )\n\n    def start(self):\n        super(LogReturnsRolling, self).start()\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        self._values = collections.deque([float('Nan')] * self.compression,\n                                         maxlen=self.compression)\n\n        if self.p.data is None:\n            # keep the initial portfolio value if not tracing a data\n            if not self._fundmode:\n                self._lastvalue = self.strategy.broker.getvalue()\n            else:\n                self._lastvalue = self.strategy.broker.fundvalue\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        if not self._fundmode:\n            self._value = value if self.p.data is None else self.p.data[0]\n        else:\n            self._value = fundvalue if self.p.data is None else self.p.data[0]\n\n    def _on_dt_over(self):\n        # next is called in a new timeframe period\n        if self.p.data is None or len(self.p.data) > 1:\n            # Not tracking a data feed or data feed has data already\n            vst = self._lastvalue  # update value_start to last\n        else:\n            # The 1st tick has no previous reference, use the opening price\n            vst = self.p.data.open[0] if self.p.firstopen else self.p.data[0]\n\n        self._values.append(vst)  # push values backwards (and out)\n\n    def next(self):\n        # Calculate the return\n        super(LogReturnsRolling, self).next()\n        self.rets[self.dtkey] = math.log(self._value / self._values[0])\n        self._lastvalue = self._value  # keep last value\n"
  },
  {
    "path": "backtrader/analyzers/periodstats.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import itervalues\nfrom backtrader.mathsupport import average, standarddev\nfrom . import TimeReturn\n\n\n__all__ = ['PeriodStats']\n\n\nclass PeriodStats(bt.Analyzer):\n    '''Calculates basic statistics for given timeframe\n\n    Params:\n\n      - ``timeframe`` (default: ``Years``)\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``1``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n\n    ``get_analysis`` returns a dictionary containing the keys:\n\n      - ``average``\n      - ``stddev``\n      - ``positive``\n      - ``negative``\n      - ``nochange``\n      - ``best``\n      - ``worst``\n\n    If the parameter ``zeroispos`` is set to ``True``, periods with no change\n    will be counted as positive\n    '''\n\n    params = (\n        ('timeframe', bt.TimeFrame.Years),\n        ('compression', 1),\n        ('zeroispos', False),\n        ('fund', None),\n    )\n\n    def __init__(self):\n        self._tr = TimeReturn(timeframe=self.p.timeframe,\n                              compression=self.p.compression, fund=self.p.fund)\n\n    def stop(self):\n        trets = self._tr.get_analysis()  # dict key = date, value = ret\n        pos = nul = neg = 0\n        trets = list(itervalues(trets))\n        for tret in trets:\n            if tret > 0.0:\n                pos += 1\n            elif tret < 0.0:\n                neg += 1\n            else:\n                if self.p.zeroispos:\n                    pos += tret == 0.0\n                else:\n                    nul += tret == 0.0\n\n        self.rets['average'] = avg = average(trets)\n        self.rets['stddev'] = standarddev(trets, avg)\n\n        self.rets['positive'] = pos\n        self.rets['negative'] = neg\n        self.rets['nochange'] = nul\n\n        self.rets['best'] = max(trets)\n        self.rets['worst'] = min(trets)\n"
  },
  {
    "path": "backtrader/analyzers/positions.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\n\n\nclass PositionsValue(bt.Analyzer):\n    '''This analyzer reports the value of the positions of the current set of\n    datas\n\n    Params:\n\n      - timeframe (default: ``None``)\n        If ``None`` then the timeframe of the 1st data of the system will be\n        used\n\n      - compression (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - headers (default: ``False``)\n\n        Add an initial key to the dictionary holding the results with the names\n        of the datas ('Datetime' as key\n\n      - cash (default: ``False``)\n\n        Include the actual cash as an extra position (for the header 'cash'\n        will be used as name)\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n    params = (\n        ('headers',  False),\n        ('cash', False),\n    )\n\n    def start(self):\n        if self.p.headers:\n            headers = [d._name or 'Data%d' % i\n                       for i, d in enumerate(self.datas)]\n            self.rets['Datetime'] = headers + ['cash'] * self.p.cash\n\n        tf = min(d._timeframe for d in self.datas)\n        self._usedate = tf >= bt.TimeFrame.Days\n\n    def next(self):\n        pvals = [self.strategy.broker.get_value([d]) for d in self.datas]\n        if self.p.cash:\n            pvals.append(self.strategy.broker.get_cash())\n\n        if self._usedate:\n            self.rets[self.strategy.datetime.date()] = pvals\n        else:\n            self.rets[self.strategy.datetime.datetime()] = pvals\n"
  },
  {
    "path": "backtrader/analyzers/pyfolio.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport collections\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import items, iteritems\n\nfrom . import TimeReturn, PositionsValue, Transactions, GrossLeverage\n\n\nclass PyFolio(bt.Analyzer):\n    '''This analyzer uses 4 children analyzers to collect data and transforms it\n    in to a data set compatible with ``pyfolio``\n\n    Children Analyzer\n\n      - ``TimeReturn``\n\n        Used to calculate the returns of the global portfolio value\n\n      - ``PositionsValue``\n\n        Used to calculate the value of the positions per data. It sets the\n        ``headers`` and ``cash`` parameters to ``True``\n\n      - ``Transactions``\n\n        Used to record each transaction on a data (size, price, value). Sets\n        the ``headers`` parameter to ``True``\n\n      - ``GrossLeverage``\n\n        Keeps track of the gross leverage (how much the strategy is invested)\n\n    Params:\n      These are passed transparently to the children\n\n      - timeframe (default: ``bt.TimeFrame.Days``)\n\n        If ``None`` then the timeframe of the 1st data of the system will be\n        used\n\n      - compression (default: `1``)\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n    Both ``timeframe`` and ``compression`` are set following the default\n    behavior of ``pyfolio`` which is working with *daily* data and upsample it\n    to obtaine values like yearly returns.\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n    params = (\n        ('timeframe', bt.TimeFrame.Days),\n        ('compression', 1)\n    )\n\n    def __init__(self):\n        dtfcomp = dict(timeframe=self.p.timeframe,\n                       compression=self.p.compression)\n\n        self._returns = TimeReturn(**dtfcomp)\n        self._positions = PositionsValue(headers=True, cash=True)\n        self._transactions = Transactions(headers=True)\n        self._gross_lev = GrossLeverage()\n\n    def stop(self):\n        super(PyFolio, self).stop()\n        self.rets['returns'] = self._returns.get_analysis()\n        self.rets['positions'] = self._positions.get_analysis()\n        self.rets['transactions'] = self._transactions.get_analysis()\n        self.rets['gross_lev'] = self._gross_lev.get_analysis()\n\n    def get_pf_items(self):\n        '''Returns a tuple of 4 elements which can be used for further processing with\n          ``pyfolio``\n\n          returns, positions, transactions, gross_leverage\n\n        Because the objects are meant to be used as direct input to ``pyfolio``\n        this method makes a local import of ``pandas`` to convert the internal\n        *backtrader* results to *pandas DataFrames* which is the expected input\n        by, for example, ``pyfolio.create_full_tear_sheet``\n\n        The method will break if ``pandas`` is not installed\n        '''\n        # keep import local to avoid disturbing installations with no pandas\n        import pandas\n        from pandas import DataFrame as DF\n\n        #\n        # Returns\n        cols = ['index', 'return']\n        returns = DF.from_records(iteritems(self.rets['returns']),\n                                  index=cols[0], columns=cols)\n        returns.index = pandas.to_datetime(returns.index)\n        returns.index = returns.index.tz_localize('UTC')\n        rets = returns['return']\n        #\n        # Positions\n        pss = self.rets['positions']\n        ps = [[k] + v[-2:] for k, v in iteritems(pss)]\n        cols = ps.pop(0)  # headers are in the first entry\n        positions = DF.from_records(ps, index=cols[0], columns=cols)\n        positions.index = pandas.to_datetime(positions.index)\n        positions.index = positions.index.tz_localize('UTC')\n\n        #\n        # Transactions\n        txss = self.rets['transactions']\n        txs = list()\n        # The transactions have a common key (date) and can potentially happend\n        # for several assets. The dictionary has a single key and a list of\n        # lists. Each sublist contains the fields of a transaction\n        # Hence the double loop to undo the list indirection\n        for k, v in iteritems(txss):\n            for v2 in v:\n                txs.append([k] + v2)\n\n        cols = txs.pop(0)  # headers are in the first entry\n        transactions = DF.from_records(txs, index=cols[0], columns=cols)\n        transactions.index = pandas.to_datetime(transactions.index)\n        transactions.index = transactions.index.tz_localize('UTC')\n\n        # Gross Leverage\n        cols = ['index', 'gross_lev']\n        gross_lev = DF.from_records(iteritems(self.rets['gross_lev']),\n                                    index=cols[0], columns=cols)\n\n        gross_lev.index = pandas.to_datetime(gross_lev.index)\n        gross_lev.index = gross_lev.index.tz_localize('UTC')\n        glev = gross_lev['gross_lev']\n\n        # Return all together\n        return rets, positions, transactions, glev\n"
  },
  {
    "path": "backtrader/analyzers/returns.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nimport backtrader as bt\nfrom backtrader import TimeFrameAnalyzerBase\n\n\nclass Returns(TimeFrameAnalyzerBase):\n    '''Total, Average, Compound and Annualized Returns calculated using a\n    logarithmic approach\n\n    See:\n\n      - https://www.crystalbull.com/sharpe-ratio-better-with-log-returns/\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - ``tann`` (default: ``None``)\n\n        Number of periods to use for the annualization (normalization) of the\n\n        namely:\n\n          - ``days: 252``\n          - ``weeks: 52``\n          - ``months: 12``\n          - ``years: 1``\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n\n        The returned dict the following keys:\n\n          - ``rtot``: Total compound return\n          - ``ravg``: Average return for the entire period (timeframe specific)\n          - ``rnorm``: Annualized/Normalized return\n          - ``rnorm100``: Annualized/Normalized return expressed in 100%\n\n    '''\n\n    params = (\n        ('tann', None),\n        ('fund', None),\n    )\n\n    _TANN = {\n        bt.TimeFrame.Days: 252.0,\n        bt.TimeFrame.Weeks: 52.0,\n        bt.TimeFrame.Months: 12.0,\n        bt.TimeFrame.Years: 1.0,\n    }\n\n    def start(self):\n        super(Returns, self).start()\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        if not self._fundmode:\n            self._value_start = self.strategy.broker.getvalue()\n        else:\n            self._value_start = self.strategy.broker.fundvalue\n\n        self._tcount = 0\n\n    def stop(self):\n        super(Returns, self).stop()\n\n        if not self._fundmode:\n            self._value_end = self.strategy.broker.getvalue()\n        else:\n            self._value_end = self.strategy.broker.fundvalue\n\n        # Compound return\n        try:\n            nlrtot = self._value_end / self._value_start\n        except ZeroDivisionError:\n            rtot = float('-inf')\n        else:\n            if nlrtot < 0.0:\n                rtot = float('-inf')\n            else:\n                rtot = math.log(nlrtot)\n\n        self.rets['rtot'] = rtot\n\n        # Average return\n        self.rets['ravg'] = ravg = rtot / self._tcount\n\n        # Annualized normalized return\n        tann = self.p.tann or self._TANN.get(self.timeframe, None)\n        if tann is None:\n            tann = self._TANN.get(self.data._timeframe, 1.0)  # assign default\n\n        if ravg > float('-inf'):\n            self.rets['rnorm'] = rnorm = math.expm1(ravg * tann)\n        else:\n            self.rets['rnorm'] = rnorm = ravg\n\n        self.rets['rnorm100'] = rnorm * 100.0  # human readable %\n\n    def _on_dt_over(self):\n        self._tcount += 1  # count the subperiod\n"
  },
  {
    "path": "backtrader/analyzers/sharpe.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nfrom backtrader.utils.py3 import itervalues\n\nfrom backtrader import Analyzer, TimeFrame\nfrom backtrader.mathsupport import average, standarddev\nfrom backtrader.analyzers import TimeReturn, AnnualReturn\n\n\nclass SharpeRatio(Analyzer):\n    '''This analyzer calculates the SharpeRatio of a strategy using a risk free\n    asset which is simply an interest rate\n\n    See also:\n\n      - https://en.wikipedia.org/wiki/Sharpe_ratio\n\n    Params:\n\n      - ``timeframe``: (default: ``TimeFrame.Years``)\n\n      - ``compression`` (default: ``1``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n      - ``riskfreerate`` (default: 0.01 -> 1%)\n\n        Expressed in annual terms (see ``convertrate`` below)\n\n      - ``convertrate`` (default: ``True``)\n\n        Convert the ``riskfreerate`` from annual to monthly, weekly or daily\n        rate. Sub-day conversions are not supported\n\n      - ``factor`` (default: ``None``)\n\n        If ``None``, the conversion factor for the riskfree rate from *annual*\n        to the chosen timeframe will be chosen from a predefined table\n\n          Days: 252, Weeks: 52, Months: 12, Years: 1\n\n        Else the specified value will be used\n\n      - ``annualize`` (default: ``False``)\n\n        If ``convertrate`` is ``True``, the *SharpeRatio* will be delivered in\n        the ``timeframe`` of choice.\n\n        In most occasions the SharpeRatio is delivered in annualized form.\n        Convert the ``riskfreerate`` from annual to monthly, weekly or daily\n        rate. Sub-day conversions are not supported\n\n      - ``stddev_sample`` (default: ``False``)\n\n        If this is set to ``True`` the *standard deviation* will be calculated\n        decreasing the denominator in the mean by ``1``. This is used when\n        calculating the *standard deviation* if it's considered that not all\n        samples are used for the calculation. This is known as the *Bessels'\n        correction*\n\n      - ``daysfactor`` (default: ``None``)\n\n        Old naming for ``factor``. If set to anything else than ``None`` and\n        the ``timeframe`` is ``TimeFrame.Days`` it will be assumed this is old\n        code and the value will be used\n\n      - ``legacyannual`` (default: ``False``)\n\n        Use the ``AnnualReturn`` return analyzer, which as the name implies\n        only works on years\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with key \"sharperatio\" holding the ratio\n\n    '''\n    params = (\n        ('timeframe', TimeFrame.Years),\n        ('compression', 1),\n        ('riskfreerate', 0.01),\n        ('factor', None),\n        ('convertrate', True),\n        ('annualize', False),\n        ('stddev_sample', False),\n\n        # old behavior\n        ('daysfactor', None),\n        ('legacyannual', False),\n        ('fund', None),\n    )\n\n    RATEFACTORS = {\n        TimeFrame.Days: 252,\n        TimeFrame.Weeks: 52,\n        TimeFrame.Months: 12,\n        TimeFrame.Years: 1,\n    }\n\n    def __init__(self):\n        if self.p.legacyannual:\n            self.anret = AnnualReturn()\n        else:\n            self.timereturn = TimeReturn(\n                timeframe=self.p.timeframe,\n                compression=self.p.compression,\n                fund=self.p.fund)\n\n    def stop(self):\n        super(SharpeRatio, self).stop()\n        if self.p.legacyannual:\n            rate = self.p.riskfreerate\n            retavg = average([r - rate for r in self.anret.rets])\n            retdev = standarddev(self.anret.rets)\n\n            self.ratio = retavg / retdev\n        else:\n            # Get the returns from the subanalyzer\n            returns = list(itervalues(self.timereturn.get_analysis()))\n\n            rate = self.p.riskfreerate  #\n\n            factor = None\n\n            # Hack to identify old code\n            if self.p.timeframe == TimeFrame.Days and \\\n               self.p.daysfactor is not None:\n\n                factor = self.p.daysfactor\n\n            else:\n                if self.p.factor is not None:\n                    factor = self.p.factor  # user specified factor\n                elif self.p.timeframe in self.RATEFACTORS:\n                    # Get the conversion factor from the default table\n                    factor = self.RATEFACTORS[self.p.timeframe]\n\n            if factor is not None:\n                # A factor was found\n\n                if self.p.convertrate:\n                    # Standard: downgrade annual returns to timeframe factor\n                    rate = pow(1.0 + rate, 1.0 / factor) - 1.0\n                else:\n                    # Else upgrade returns to yearly returns\n                    returns = [pow(1.0 + x, factor) - 1.0 for x in returns]\n\n            lrets = len(returns) - self.p.stddev_sample\n            # Check if the ratio can be calculated\n            if lrets:\n                # Get the excess returns - arithmetic mean - original sharpe\n                ret_free = [r - rate for r in returns]\n                ret_free_avg = average(ret_free)\n                retdev = standarddev(ret_free, avgx=ret_free_avg,\n                                     bessel=self.p.stddev_sample)\n\n                try:\n                    ratio = ret_free_avg / retdev\n\n                    if factor is not None and \\\n                       self.p.convertrate and self.p.annualize:\n\n                        ratio = math.sqrt(factor) * ratio\n                except (ValueError, TypeError, ZeroDivisionError):\n                    ratio = None\n            else:\n                # no returns or stddev_sample was active and 1 return\n                ratio = None\n\n            self.ratio = ratio\n\n        self.rets['sharperatio'] = self.ratio\n\n\nclass SharpeRatio_A(SharpeRatio):\n    '''Extension of the SharpeRatio which returns the Sharpe Ratio directly in\n    annualized form\n\n    The following param has been changed from ``SharpeRatio``\n\n      - ``annualize`` (default: ``True``)\n\n    '''\n\n    params = (\n        ('annualize', True),\n    )\n"
  },
  {
    "path": "backtrader/analyzers/sqn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nfrom backtrader import Analyzer\nfrom backtrader.mathsupport import average, standarddev\nfrom backtrader.utils import AutoOrderedDict\n\n\nclass SQN(Analyzer):\n    '''SQN or SystemQualityNumber. Defined by Van K. Tharp to categorize trading\n    systems.\n\n      - 1.6 - 1.9 Below average\n      - 2.0 - 2.4 Average\n      - 2.5 - 2.9 Good\n      - 3.0 - 5.0 Excellent\n      - 5.1 - 6.9 Superb\n      - 7.0 -     Holy Grail?\n\n    The formula:\n\n      - SquareRoot(NumberTrades) * Average(TradesProfit) / StdDev(TradesProfit)\n\n    The sqn value should be deemed reliable when the number of trades >= 30\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with keys \"sqn\" and \"trades\" (number of\n        considered trades)\n\n    '''\n    alias = ('SystemQualityNumber',)\n\n    def create_analysis(self):\n        '''Replace default implementation to instantiate an AutoOrdereDict\n        rather than an OrderedDict'''\n        self.rets = AutoOrderedDict()\n\n    def start(self):\n        super(SQN, self).start()\n        self.pnl = list()\n        self.count = 0\n\n    def notify_trade(self, trade):\n        if trade.status == trade.Closed:\n            self.pnl.append(trade.pnlcomm)\n            self.count += 1\n\n    def stop(self):\n        if self.count > 1:\n            pnl_av = average(self.pnl)\n            pnl_stddev = standarddev(self.pnl)\n            try:\n                sqn = math.sqrt(len(self.pnl)) * pnl_av / pnl_stddev\n            except ZeroDivisionError:\n                sqn = None\n        else:\n            sqn = 0\n\n        self.rets.sqn = sqn\n        self.rets.trades = self.count\n"
  },
  {
    "path": "backtrader/analyzers/timereturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom backtrader import TimeFrameAnalyzerBase\n\n\nclass TimeReturn(TimeFrameAnalyzerBase):\n    '''This analyzer calculates the Returns by looking at the beginning\n    and end of the timeframe\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` the ``timeframe`` of the 1st data in the system will be\n        used\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - ``data`` (default: ``None``)\n\n        Reference asset to track instead of the portfolio value.\n\n        .. note:: this data must have been added to a ``cerebro`` instance with\n                  ``addata``, ``resampledata`` or ``replaydata``\n\n      - ``firstopen`` (default: ``True``)\n\n        When tracking the returns of a ``data`` the following is done when\n        crossing a timeframe boundary, for example ``Years``:\n\n          - Last ``close`` of previous year is used as the reference price to\n            see the return in the current year\n\n        The problem is the 1st calculation, because the data has** no\n        previous** closing price. As such and when this parameter is ``True``\n        the *opening* price will be used for the 1st calculation.\n\n        This requires the data feed to have an ``open`` price (for ``close``\n        the standard [0] notation will be used without reference to a field\n        price)\n\n        Else the initial close will be used.\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n\n    params = (\n        ('data', None),\n        ('firstopen', True),\n        ('fund', None),\n    )\n\n    def start(self):\n        super(TimeReturn, self).start()\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        self._value_start = 0.0\n        self._lastvalue = None\n        if self.p.data is None:\n            # keep the initial portfolio value if not tracing a data\n            if not self._fundmode:\n                self._lastvalue = self.strategy.broker.getvalue()\n            else:\n                self._lastvalue = self.strategy.broker.fundvalue\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        if not self._fundmode:\n            # Record current value\n            if self.p.data is None:\n                self._value = value  # the portofolio value if tracking no data\n            else:\n                self._value = self.p.data[0]  # the data value if tracking data\n        else:\n            if self.p.data is None:\n                self._value = fundvalue  # the fund value if tracking no data\n            else:\n                self._value = self.p.data[0]  # the data value if tracking data\n\n    def on_dt_over(self):\n        # next is called in a new timeframe period\n        # if self.p.data is None or len(self.p.data) > 1:\n        if self.p.data is None or self._lastvalue is not None:\n            self._value_start = self._lastvalue  # update value_start to last\n\n        else:\n            # The 1st tick has no previous reference, use the opening price\n            if self.p.firstopen:\n                self._value_start = self.p.data.open[0]\n            else:\n                self._value_start = self.p.data[0]\n\n    def next(self):\n        # Calculate the return\n        super(TimeReturn, self).next()\n        self.rets[self.dtkey] = (self._value / self._value_start) - 1.0\n        self._lastvalue = self._value  # keep last value\n"
  },
  {
    "path": "backtrader/analyzers/tradeanalyzer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\nfrom backtrader import Analyzer\nfrom backtrader.utils import AutoOrderedDict, AutoDict\nfrom backtrader.utils.py3 import MAXINT\n\n\nclass TradeAnalyzer(Analyzer):\n    '''\n    Provides statistics on closed trades (keeps also the count of open ones)\n\n      - Total Open/Closed Trades\n\n      - Streak Won/Lost Current/Longest\n\n      - ProfitAndLoss Total/Average\n\n      - Won/Lost Count/ Total PNL/ Average PNL / Max PNL\n\n      - Long/Short Count/ Total PNL / Average PNL / Max PNL\n\n          - Won/Lost Count/ Total PNL/ Average PNL / Max PNL\n\n      - Length (bars in the market)\n\n        - Total/Average/Max/Min\n\n        - Won/Lost Total/Average/Max/Min\n\n        - Long/Short Total/Average/Max/Min\n\n          - Won/Lost Total/Average/Max/Min\n\n    Note:\n\n      The analyzer uses an \"auto\"dict for the fields, which means that if no\n      trades are executed, no statistics will be generated.\n\n      In that case there will be a single field/subfield in the dictionary\n      returned by ``get_analysis``, namely:\n\n        - dictname['total']['total'] which will have a value of 0 (the field is\n          also reachable with dot notation dictname.total.total\n    '''\n    def create_analysis(self):\n        self.rets = AutoOrderedDict()\n        self.rets.total.total = 0\n\n    def stop(self):\n        super(TradeAnalyzer, self).stop()\n        self.rets._close()\n\n    def notify_trade(self, trade):\n        if trade.justopened:\n            # Trade just opened\n            self.rets.total.total += 1\n            self.rets.total.open += 1\n\n        elif trade.status == trade.Closed:\n            trades = self.rets\n\n            res = AutoDict()\n            # Trade just closed\n\n            won = res.won = int(trade.pnlcomm >= 0.0)\n            lost = res.lost = int(not won)\n            tlong = res.tlong = trade.long\n            tshort = res.tshort = not trade.long\n\n            trades.total.open -= 1\n            trades.total.closed += 1\n\n            # Streak\n            for wlname in ['won', 'lost']:\n                wl = res[wlname]\n\n                trades.streak[wlname].current *= wl\n                trades.streak[wlname].current += wl\n\n                ls = trades.streak[wlname].longest or 0\n                trades.streak[wlname].longest = \\\n                    max(ls, trades.streak[wlname].current)\n\n            trpnl = trades.pnl\n            trpnl.gross.total += trade.pnl\n            trpnl.gross.average = trades.pnl.gross.total / trades.total.closed\n            trpnl.net.total += trade.pnlcomm\n            trpnl.net.average = trades.pnl.net.total / trades.total.closed\n\n            # Won/Lost statistics\n            for wlname in ['won', 'lost']:\n                wl = res[wlname]\n                trwl = trades[wlname]\n\n                trwl.total += wl  # won.total / lost.total\n\n                trwlpnl = trwl.pnl\n                pnlcomm = trade.pnlcomm * wl\n\n                trwlpnl.total += pnlcomm\n                trwlpnl.average = trwlpnl.total / (trwl.total or 1.0)\n\n                wm = trwlpnl.max or 0.0\n                func = max if wlname == 'won' else min\n                trwlpnl.max = func(wm, pnlcomm)\n\n            # Long/Short statistics\n            for tname in ['long', 'short']:\n                trls = trades[tname]\n                ls = res['t' + tname]\n\n                trls.total += ls  # long.total / short.total\n                trls.pnl.total += trade.pnlcomm * ls\n                trls.pnl.average = trls.pnl.total / (trls.total or 1.0)\n\n                for wlname in ['won', 'lost']:\n                    wl = res[wlname]\n                    pnlcomm = trade.pnlcomm * wl * ls\n\n                    trls[wlname] += wl * ls  # long.won / short.won\n\n                    trls.pnl[wlname].total += pnlcomm\n                    trls.pnl[wlname].average = \\\n                        trls.pnl[wlname].total / (trls[wlname] or 1.0)\n\n                    wm = trls.pnl[wlname].max or 0.0\n                    func = max if wlname == 'won' else min\n                    trls.pnl[wlname].max = func(wm, pnlcomm)\n\n            # Length\n            trades.len.total += trade.barlen\n            trades.len.average = trades.len.total / trades.total.closed\n            ml = trades.len.max or 0\n            trades.len.max = max(ml, trade.barlen)\n\n            ml = trades.len.min or MAXINT\n            trades.len.min = min(ml, trade.barlen)\n\n            # Length Won/Lost\n            for wlname in ['won', 'lost']:\n                trwl = trades.len[wlname]\n                wl = res[wlname]\n\n                trwl.total += trade.barlen * wl\n                trwl.average = trwl.total / (trades[wlname].total or 1.0)\n\n                m = trwl.max or 0\n                trwl.max = max(m, trade.barlen * wl)\n                if trade.barlen * wl:\n                    m = trwl.min or MAXINT\n                    trwl.min = min(m, trade.barlen * wl)\n\n            # Length Long/Short\n            for lsname in ['long', 'short']:\n                trls = trades.len[lsname]  # trades.len.long\n                ls = res['t' + lsname]  # tlong/tshort\n\n                barlen = trade.barlen * ls\n\n                trls.total += barlen  # trades.len.long.total\n                total_ls = trades[lsname].total   # trades.long.total\n                trls.average = trls.total / (total_ls or 1.0)\n\n                # max/min\n                m = trls.max or 0\n                trls.max = max(m, barlen)\n                m = trls.min or MAXINT\n                trls.min = min(m, barlen or m)\n\n                for wlname in ['won', 'lost']:\n                    wl = res[wlname]  # won/lost\n\n                    barlen2 = trade.barlen * ls * wl\n\n                    trls_wl = trls[wlname]  # trades.len.long.won\n                    trls_wl.total += barlen2  # trades.len.long.won.total\n\n                    trls_wl.average = \\\n                        trls_wl.total / (trades[lsname][wlname] or 1.0)\n\n                    # max/min\n                    m = trls_wl.max or 0\n                    trls_wl.max = max(m, barlen2)\n                    m = trls_wl.min or MAXINT\n                    trls_wl.min = min(m, barlen2 or m)\n"
  },
  {
    "path": "backtrader/analyzers/transactions.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport collections\n\nimport backtrader as bt\nfrom backtrader import Order, Position\n\n\nclass Transactions(bt.Analyzer):\n    '''This analyzer reports the transactions occurred with each an every data in\n    the system\n\n    It looks at the order execution bits to create a ``Position`` starting from\n    0 during each ``next`` cycle.\n\n    The result is used during next to record the transactions\n\n    Params:\n\n      - headers (default: ``True``)\n\n        Add an initial key to the dictionary holding the results with the names\n        of the datas\n\n        This analyzer was modeled to facilitate the integration with\n        ``pyfolio`` and the header names are taken from the samples used for\n        it::\n\n          'date', 'amount', 'price', 'sid', 'symbol', 'value'\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n    '''\n    params = (\n        ('headers', False),\n        ('_pfheaders', ('date', 'amount', 'price', 'sid', 'symbol', 'value')),\n    )\n\n    def start(self):\n        super(Transactions, self).start()\n        if self.p.headers:\n            self.rets[self.p._pfheaders[0]] = [list(self.p._pfheaders[1:])]\n\n        self._positions = collections.defaultdict(Position)\n        self._idnames = list(enumerate(self.strategy.getdatanames()))\n\n    def notify_order(self, order):\n        # An order could have several partial executions per cycle (unlikely\n        # but possible) and therefore: collect each new execution notification\n        # and let the work for next\n\n        # We use a fresh Position object for each round to get summary of what\n        # the execution bits have done in that round\n        if order.status not in [Order.Partial, Order.Completed]:\n            return  # It's not an execution\n\n        pos = self._positions[order.data._name]\n        for exbit in order.executed.iterpending():\n            if exbit is None:\n                break  # end of pending reached\n\n            pos.update(exbit.size, exbit.price)\n\n    def next(self):\n        # super(Transactions, self).next()  # let dtkey update\n        entries = []\n        for i, dname in self._idnames:\n            pos = self._positions.get(dname, None)\n            if pos is not None:\n                size, price = pos.size, pos.price\n                if size:\n                    entries.append([size, price, i, dname, -size * price])\n\n        if entries:\n            self.rets[self.strategy.datetime.datetime()] = entries\n\n        self._positions.clear()\n"
  },
  {
    "path": "backtrader/analyzers/vwr.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nimport backtrader as bt\nfrom backtrader import TimeFrameAnalyzerBase\nfrom . import Returns\nfrom ..mathsupport import standarddev\n\n\nclass VWR(TimeFrameAnalyzerBase):\n    '''Variability-Weighted Return: Better SharpeRatio with Log Returns\n\n    Alias:\n\n      - VariabilityWeightedReturn\n\n    See:\n\n      - https://www.crystalbull.com/sharpe-ratio-better-with-log-returns/\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` then the complete return over the entire backtested period\n        will be reported\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n        If ``None`` then the compression of the 1st data of the system will be\n        used\n\n      - ``tann`` (default: ``None``)\n\n        Number of periods to use for the annualization (normalization) of the\n        average returns. If ``None``, then standard ``t`` values will be used,\n        namely:\n\n          - ``days: 252``\n          - ``weeks: 52``\n          - ``months: 12``\n          - ``years: 1``\n\n      - ``tau`` (default: ``2.0``)\n\n        factor for the calculation (see the literature)\n\n      - ``sdev_max`` (default: ``0.20``)\n\n        max standard deviation (see the literature)\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Methods:\n\n      - get_analysis\n\n        Returns a dictionary with returns as values and the datetime points for\n        each return as keys\n\n        The returned dict contains the following keys:\n\n          - ``vwr``: Variability-Weighted Return\n    '''\n\n    params = (\n        ('tann', None),\n        ('tau', 0.20),\n        ('sdev_max', 2.0),\n        ('fund', None),\n    )\n\n    _TANN = {\n        bt.TimeFrame.Days: 252.0,\n        bt.TimeFrame.Weeks: 52.0,\n        bt.TimeFrame.Months: 12.0,\n        bt.TimeFrame.Years: 1.0,\n    }\n\n    def __init__(self):\n        # Children log return analyzer\n        self._returns = Returns(timeframe=self.p.timeframe,\n                                compression=self.p.compression,\n                                tann=self.p.tann)\n\n    def start(self):\n        super(VWR, self).start()\n        # Add an initial placeholder for [-1] operation\n        if self.p.fund is None:\n            self._fundmode = self.strategy.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        if not self._fundmode:\n            self._pis = [self.strategy.broker.getvalue()]  # keep initial value\n        else:\n            self._pis = [self.strategy.broker.fundvalue]  # keep initial value\n\n        self._pns = [None]  # keep final prices (value)\n\n    def stop(self):\n        super(VWR, self).stop()\n        # Check if no value has been seen after the last 'dt_over'\n        # If so, there is one 'pi' out of place and a None 'pn'. Purge\n        if self._pns[-1] is None:\n            self._pis.pop()\n            self._pns.pop()\n\n        # Get results from children\n        rs = self._returns.get_analysis()\n        ravg = rs['ravg']\n        rnorm100 = rs['rnorm100']\n\n        # make n 1 based in enumerate (number of periods and not index)\n        # skip initial placeholders for synchronization\n        dts = []\n        for n, pipn in enumerate(zip(self._pis, self._pns), 1):\n            pi, pn = pipn\n\n            dt = pn / (pi * math.exp(ravg * n)) - 1.0\n            dts.append(dt)\n\n        sdev_p = standarddev(dts, bessel=True)\n\n        vwr = rnorm100 * (1.0 - pow(sdev_p / self.p.sdev_max, self.p.tau))\n        self.rets['vwr'] = vwr\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        if not self._fundmode:\n            self._pns[-1] = value  # annotate last seen pn for current period\n        else:\n            self._pns[-1] = fundvalue  # annotate last pn for current period\n\n    def _on_dt_over(self):\n        self._pis.append(self._pns[-1])  # last pn is pi in next period\n        self._pns.append(None)  # placeholder for [-1] operation\n\n\nVariabilityWeightedReturn = VWR\n"
  },
  {
    "path": "backtrader/broker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom backtrader.comminfo import CommInfoBase\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import with_metaclass\n\nfrom . import fillers as fillers\nfrom . import fillers as filler\n\n\nclass MetaBroker(MetaParams):\n    def __init__(cls, name, bases, dct):\n        '''\n        Class has already been created ... fill missing methods if needed be\n        '''\n        # Initialize the class\n        super(MetaBroker, cls).__init__(name, bases, dct)\n        translations = {\n            'get_cash': 'getcash',\n            'get_value': 'getvalue',\n        }\n\n        for attr, trans in translations.items():\n            if not hasattr(cls, attr):\n                setattr(cls, name, getattr(cls, trans))\n\n\nclass BrokerBase(with_metaclass(MetaBroker, object)):\n    params = (\n        ('commission', CommInfoBase(percabs=True)),\n    )\n\n    def __init__(self):\n        self.comminfo = dict()\n        self.init()\n\n    def init(self):\n        # called from init and from start\n        if None not in self.comminfo:\n            self.comminfo = dict({None: self.p.commission})\n\n    def start(self):\n        self.init()\n\n    def stop(self):\n        pass\n\n    def add_order_history(self, orders, notify=False):\n        '''Add order history. See cerebro for details'''\n        raise NotImplementedError\n\n    def set_fund_history(self, fund):\n        '''Add fund history. See cerebro for details'''\n        raise NotImplementedError\n\n    def getcommissioninfo(self, data):\n        '''Retrieves the ``CommissionInfo`` scheme associated with the given\n        ``data``'''\n        if data._name in self.comminfo:\n            return self.comminfo[data._name]\n\n        return self.comminfo[None]\n\n    def setcommission(self,\n                      commission=0.0, margin=None, mult=1.0,\n                      commtype=None, percabs=True, stocklike=False,\n                      interest=0.0, interest_long=False, leverage=1.0,\n                      automargin=False,\n                      name=None):\n\n        '''This method sets a `` CommissionInfo`` object for assets managed in\n        the broker with the parameters. Consult the reference for\n        ``CommInfoBase``\n\n        If name is ``None``, this will be the default for assets for which no\n        other ``CommissionInfo`` scheme can be found\n        '''\n\n        comm = CommInfoBase(commission=commission, margin=margin, mult=mult,\n                            commtype=commtype, stocklike=stocklike,\n                            percabs=percabs,\n                            interest=interest, interest_long=interest_long,\n                            leverage=leverage, automargin=automargin)\n        self.comminfo[name] = comm\n\n    def addcommissioninfo(self, comminfo, name=None):\n        '''Adds a ``CommissionInfo`` object that will be the default for all assets if\n        ``name`` is ``None``'''\n        self.comminfo[name] = comminfo\n\n    def getcash(self):\n        raise NotImplementedError\n\n    def getvalue(self, datas=None):\n        raise NotImplementedError\n\n    def get_fundshares(self):\n        '''Returns the current number of shares in the fund-like mode'''\n        return 1.0  # the abstract mode has only 1 share\n\n    fundshares = property(get_fundshares)\n\n    def get_fundvalue(self):\n        return self.getvalue()\n\n    fundvalue = property(get_fundvalue)\n\n    def set_fundmode(self, fundmode, fundstartval=None):\n        '''Set the actual fundmode (True or False)\n\n        If the argument fundstartval is not ``None``, it will used\n        '''\n        pass  # do nothing, not all brokers can support this\n\n    def get_fundmode(self):\n        '''Returns the actual fundmode (True or False)'''\n        return False\n\n    fundmode = property(get_fundmode, set_fundmode)\n\n    def getposition(self, data):\n        raise NotImplementedError\n\n    def submit(self, order):\n        raise NotImplementedError\n\n    def cancel(self, order):\n        raise NotImplementedError\n\n    def buy(self, owner, data, size, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0, oco=None,\n            trailamount=None, trailpercent=None,\n            **kwargs):\n\n        raise NotImplementedError\n\n    def sell(self, owner, data, size, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0, oco=None,\n             trailamount=None, trailpercent=None,\n             **kwargs):\n\n        raise NotImplementedError\n\n    def next(self):\n        pass\n\n# __all__ = ['BrokerBase', 'fillers', 'filler']\n"
  },
  {
    "path": "backtrader/brokers/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the objects wishes\n# or prepend an \"_\" (underscore) to private classes/variables\n\nfrom .bbroker import BackBroker, BrokerBack\n\ntry:\n    from .ibbroker import IBBroker\nexcept ImportError:\n    pass  # The user may not have ibpy installed\n\ntry:\n    from .vcbroker import VCBroker\nexcept ImportError:\n    pass  # The user may not have something installed\n\ntry:\n    from .oandabroker import OandaBroker\nexcept ImportError as e:\n    pass  # The user may not have something installed\n"
  },
  {
    "path": "backtrader/brokers/bbroker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport datetime\n\nimport backtrader as bt\nfrom backtrader.comminfo import CommInfoBase\nfrom backtrader.order import Order, BuyOrder, SellOrder\nfrom backtrader.position import Position\nfrom backtrader.utils.py3 import string_types, integer_types\n\n__all__ = ['BackBroker', 'BrokerBack']\n\n\nclass BackBroker(bt.BrokerBase):\n    '''Broker Simulator\n\n      The simulation supports different order types, checking a submitted order\n      cash requirements against current cash, keeping track of cash and value\n      for each iteration of ``cerebro`` and keeping the current position on\n      different datas.\n\n      *cash* is adjusted on each iteration for instruments like ``futures`` for\n       which a price change implies in real brokers the addition/substracion of\n       cash.\n\n      Supported order types:\n\n        - ``Market``: to be executed with the 1st tick of the next bar (namely\n          the ``open`` price)\n\n        - ``Close``: meant for intraday in which the order is executed with the\n          closing price of the last bar of the session\n\n        - ``Limit``: executes if the given limit price is seen during the\n          session\n\n        - ``Stop``: executes a ``Market`` order if the given stop price is seen\n\n        - ``StopLimit``: sets a ``Limit`` order in motion if the given stop\n          price is seen\n\n      Because the broker is instantiated by ``Cerebro`` and there should be\n      (mostly) no reason to replace the broker, the params are not controlled\n      by the user for the instance.  To change this there are two options:\n\n        1. Manually create an instance of this class with the desired params\n           and use ``cerebro.broker = instance`` to set the instance as the\n           broker for the ``run`` execution\n\n        2. Use the ``set_xxx`` to set the value using\n           ``cerebro.broker.set_xxx`` where ```xxx`` stands for the name of the\n           parameter to set\n\n        .. note::\n\n           ``cerebro.broker`` is a *property* supported by the ``getbroker``\n           and ``setbroker`` methods of ``Cerebro``\n\n      Params:\n\n        - ``cash`` (default: ``10000``): starting cash\n\n        - ``commission`` (default: ``CommInfoBase(percabs=True)``)\n          base commission scheme which applies to all assets\n\n        - ``checksubmit`` (default: ``True``)\n          check margin/cash before accepting an order into the system\n\n        - ``eosbar`` (default: ``False``):\n          With intraday bars consider a bar with the same ``time`` as the end\n          of session to be the end of the session. This is not usually the\n          case, because some bars (final auction) are produced by many\n          exchanges for many products for a couple of minutes after the end of\n          the session\n\n        - ``filler`` (default: ``None``)\n\n          A callable with signature: ``callable(order, price, ago)``\n\n            - ``order``: obviously the order in execution. This provides access\n              to the *data* (and with it the *ohlc* and *volume* values), the\n              *execution type*, remaining size (``order.executed.remsize``) and\n              others.\n\n              Please check the ``Order`` documentation and reference for things\n              available inside an ``Order`` instance\n\n            - ``price`` the price at which the order is going to be executed in\n              the ``ago`` bar\n\n            - ``ago``: index meant to be used with ``order.data`` for the\n              extraction of the *ohlc* and *volume* prices. In most cases this\n              will be ``0`` but on a corner case for ``Close`` orders, this\n              will be ``-1``.\n\n              In order to get the bar volume (for example) do: ``volume =\n              order.data.voluume[ago]``\n\n          The callable must return the *executed size* (a value >= 0)\n\n          The callable may of course be an object with ``__call__`` matching\n          the aforementioned signature\n\n          With the default ``None`` orders will be completely executed in a\n          single shot\n\n        - ``slip_perc`` (default: ``0.0``) Percentage in absolute termns (and\n          positive) that should be used to slip prices up/down for buy/sell\n          orders\n\n          Note:\n\n            - ``0.01`` is ``1%``\n\n            - ``0.001`` is ``0.1%``\n\n        - ``slip_fixed`` (default: ``0.0``) Percentage in units (and positive)\n          that should be used to slip prices up/down for buy/sell orders\n\n          Note: if ``slip_perc`` is non zero, it takes precendence over this.\n\n        - ``slip_open`` (default: ``False``) whether to slip prices for order\n          execution which would specifically used the *opening* price of the\n          next bar. An example would be ``Market`` order which is executed with\n          the next available tick, i.e: the opening price of the bar.\n\n          This also applies to some of the other executions, because the logic\n          tries to detect if the *opening* price would match the requested\n          price/execution type when moving to a new bar.\n\n        - ``slip_match`` (default: ``True``)\n\n          If ``True`` the broker will offer a match by capping slippage at\n          ``high/low`` prices in case they would be exceeded.\n\n          If ``False`` the broker will not match the order with the current\n          prices and will try execution during the next iteration\n\n        - ``slip_limit`` (default: ``True``)\n\n          ``Limit`` orders, given the exact match price requested, will be\n          matched even if ``slip_match`` is ``False``.\n\n          This option controls that behavior.\n\n          If ``True``, then ``Limit`` orders will be matched by capping prices\n          to the ``limit`` / ``high/low`` prices\n\n          If ``False`` and slippage exceeds the cap, then there will be no\n          match\n\n        - ``slip_out`` (default: ``False``)\n\n          Provide *slippage* even if the price falls outside the ``high`` -\n          ``low`` range.\n\n        - ``coc`` (default: ``False``)\n\n          *Cheat-On-Close* Setting this to ``True`` with ``set_coc`` enables\n           matching a ``Market`` order to the closing price of the bar in which\n           the order was issued. This is actually *cheating*, because the bar\n           is *closed* and any order should first be matched against the prices\n           in the next bar\n\n        - ``coo`` (default: ``False``)\n\n          *Cheat-On-Open* Setting this to ``True`` with ``set_coo`` enables\n           matching a ``Market`` order to the opening price, by for example\n           using a timer with ``cheat`` set to ``True``, because such a timer\n           gets executed before the broker has evaluated\n\n        - ``int2pnl`` (default: ``True``)\n\n          Assign generated interest (if any) to the profit and loss of\n          operation that reduces a position (be it long or short). There may be\n          cases in which this is undesired, because different strategies are\n          competing and the interest would be assigned on a non-deterministic\n          basis to any of them.\n\n        - ``shortcash`` (default: ``True``)\n\n          If True then cash will be increased when a stocklike asset is shorted\n          and the calculated value for the asset will be negative.\n\n          If ``False`` then the cash will be deducted as operation cost and the\n          calculated value will be positive to end up with the same amount\n\n        - ``fundstartval`` (default: ``100.0``)\n\n          This parameter controls the start value for measuring the performance\n          in a fund-like way, i.e.: cash can be added and deducted increasing\n          the amount of shares. Performance is not measured using the net\n          asset value of the porftoflio but using the value of the fund\n\n        - ``fundmode`` (default: ``False``)\n\n          If this is set to ``True`` analyzers like ``TimeReturn`` can\n          automatically calculate returns based on the fund value and not on\n          the total net asset value\n\n    '''\n    params = (\n        ('cash', 10000.0),\n        ('checksubmit', True),\n        ('eosbar', False),\n        ('filler', None),\n        # slippage options\n        ('slip_perc', 0.0),\n        ('slip_fixed', 0.0),\n        ('slip_open', False),\n        ('slip_match', True),\n        ('slip_limit', True),\n        ('slip_out', False),\n        ('coc', False),\n        ('coo', False),\n        ('int2pnl', True),\n        ('shortcash', True),\n        ('fundstartval', 100.0),\n        ('fundmode', False),\n    )\n\n    def __init__(self):\n        super(BackBroker, self).__init__()\n        self._userhist = []\n        self._fundhist = []\n        # share_value, net asset value\n        self._fhistlast = [float('NaN'), float('NaN')]\n\n    def init(self):\n        super(BackBroker, self).init()\n        self.startingcash = self.cash = self.p.cash\n        self._value = self.cash\n        self._valuemkt = 0.0  # no open position\n\n        self._valuelever = 0.0  # no open position\n        self._valuemktlever = 0.0  # no open position\n\n        self._leverage = 1.0  # initially nothing is open\n        self._unrealized = 0.0  # no open position\n\n        self.orders = list()  # will only be appending\n        self.pending = collections.deque()  # popleft and append(right)\n        self._toactivate = collections.deque()  # to activate in next cycle\n\n        self.positions = collections.defaultdict(Position)\n        self.d_credit = collections.defaultdict(float)  # credit per data\n        self.notifs = collections.deque()\n\n        self.submitted = collections.deque()\n\n        # to keep dependent orders if needed\n        self._pchildren = collections.defaultdict(collections.deque)\n\n        self._ocos = dict()\n        self._ocol = collections.defaultdict(list)\n\n        self._fundval = self.p.fundstartval\n        self._fundshares = self.p.cash / self._fundval\n        self._cash_addition = collections.deque()\n\n    def get_notification(self):\n        try:\n            return self.notifs.popleft()\n        except IndexError:\n            pass\n\n        return None\n\n    def set_fundmode(self, fundmode, fundstartval=None):\n        '''Set the actual fundmode (True or False)\n\n        If the argument fundstartval is not ``None``, it will used\n        '''\n        self.p.fundmode = fundmode\n        if fundstartval is not None:\n            self.set_fundstartval(fundstartval)\n\n    def get_fundmode(self):\n        '''Returns the actual fundmode (True or False)'''\n        return self.p.fundmode\n\n    fundmode = property(get_fundmode, set_fundmode)\n\n    def set_fundstartval(self, fundstartval):\n        '''Set the starting value of the fund-like performance tracker'''\n        self.p.fundstartval = fundstartval\n\n    def set_int2pnl(self, int2pnl):\n        '''Configure assignment of interest to profit and loss'''\n        self.p.int2pnl = int2pnl\n\n    def set_coc(self, coc):\n        '''Configure the Cheat-On-Close method to buy the close on order bar'''\n        self.p.coc = coc\n\n    def set_coo(self, coo):\n        '''Configure the Cheat-On-Open method to buy the close on order bar'''\n        self.p.coo = coo\n\n    def set_shortcash(self, shortcash):\n        '''Configure the shortcash parameters'''\n        self.p.shortcash = shortcash\n\n    def set_slippage_perc(self, perc,\n                          slip_open=True, slip_limit=True,\n                          slip_match=True, slip_out=False):\n        '''Configure slippage to be percentage based'''\n        self.p.slip_perc = perc\n        self.p.slip_fixed = 0.0\n        self.p.slip_open = slip_open\n        self.p.slip_limit = slip_limit\n        self.p.slip_match = slip_match\n        self.p.slip_out = slip_out\n\n    def set_slippage_fixed(self, fixed,\n                           slip_open=True, slip_limit=True,\n                           slip_match=True, slip_out=False):\n        '''Configure slippage to be fixed points based'''\n        self.p.slip_perc = 0.0\n        self.p.slip_fixed = fixed\n        self.p.slip_open = slip_open\n        self.p.slip_limit = slip_limit\n        self.p.slip_match = slip_match\n        self.p.slip_out = slip_out\n\n    def set_filler(self, filler):\n        '''Sets a volume filler for volume filling execution'''\n        self.p.filler = filler\n\n    def set_checksubmit(self, checksubmit):\n        '''Sets the checksubmit parameter'''\n        self.p.checksubmit = checksubmit\n\n    def set_eosbar(self, eosbar):\n        '''Sets the eosbar parameter (alias: ``seteosbar``'''\n        self.p.eosbar = eosbar\n\n    seteosbar = set_eosbar\n\n    def get_cash(self):\n        '''Returns the current cash (alias: ``getcash``)'''\n        return self.cash\n\n    getcash = get_cash\n\n    def set_cash(self, cash):\n        '''Sets the cash parameter (alias: ``setcash``)'''\n        self.startingcash = self.cash = self.p.cash = cash\n        self._value = cash\n\n    setcash = set_cash\n\n    def add_cash(self, cash):\n        '''Add/Remove cash to the system (use a negative value to remove)'''\n        self._cash_addition.append(cash)\n\n    def get_fundshares(self):\n        '''Returns the current number of shares in the fund-like mode'''\n        return self._fundshares\n\n    fundshares = property(get_fundshares)\n\n    def get_fundvalue(self):\n        '''Returns the Fund-like share value'''\n        return self._fundval\n\n    fundvalue = property(get_fundvalue)\n\n    def cancel(self, order, bracket=False):\n        try:\n            self.pending.remove(order)\n        except ValueError:\n            # If the list didn't have the element we didn't cancel anything\n            return False\n\n        order.cancel()\n        self.notify(order)\n        self._ococheck(order)\n        if not bracket:\n            self._bracketize(order, cancel=True)\n        return True\n\n    def get_value(self, datas=None, mkt=False, lever=False):\n        '''Returns the portfolio value of the given datas (if datas is ``None``, then\n        the total portfolio value will be returned (alias: ``getvalue``)\n        '''\n        if datas is None:\n            if mkt:\n                return self._valuemkt if not lever else self._valuemktlever\n\n            return self._value if not lever else self._valuelever\n\n        return self._get_value(datas=datas, lever=lever)\n\n    getvalue = get_value\n\n    def get_value_lever(self, datas=None, mkt=False):\n        return self.get_value(datas=datas, mkt=mkt)\n\n    def _get_value(self, datas=None, lever=False):\n        pos_value = 0.0\n        pos_value_unlever = 0.0\n        unrealized = 0.0\n\n        while self._cash_addition:\n            c = self._cash_addition.popleft()\n            self._fundshares += c / self._fundval\n            self.cash += c\n\n        for data in datas or self.positions:\n            comminfo = self.getcommissioninfo(data)\n            position = self.positions[data]\n            # use valuesize:  returns raw value, rather than negative adj val\n            if not self.p.shortcash:\n                dvalue = comminfo.getvalue(position, data.close[0])\n            else:\n                dvalue = comminfo.getvaluesize(position.size, data.close[0])\n\n            dunrealized = comminfo.profitandloss(position.size, position.price,\n                                                 data.close[0])\n            if datas and len(datas) == 1:\n                if lever and dvalue > 0:\n                    dvalue -= dunrealized\n                    return (dvalue / comminfo.get_leverage()) + dunrealized\n                return dvalue  # raw data value requested, short selling is neg\n\n            if not self.p.shortcash:\n                dvalue = abs(dvalue)  # short selling adds value in this case\n\n            pos_value += dvalue\n            unrealized += dunrealized\n\n            if dvalue > 0:  # long position - unlever\n                dvalue -= dunrealized\n                pos_value_unlever += (dvalue / comminfo.get_leverage())\n                pos_value_unlever += dunrealized\n            else:\n                pos_value_unlever += dvalue\n\n        if not self._fundhist:\n            self._value = v = self.cash + pos_value_unlever\n            self._fundval = self._value / self._fundshares  # update fundvalue\n        else:\n            # Try to fetch a value\n            fval, fvalue = self._process_fund_history()\n\n            self._value = fvalue\n            self.cash = fvalue - pos_value_unlever\n            self._fundval = fval\n            self._fundshares = fvalue / fval\n            lev = pos_value / (pos_value_unlever or 1.0)\n\n            # update the calculated values above to the historical values\n            pos_value_unlever = fvalue\n            pos_value = fvalue * lev\n\n        self._valuemkt = pos_value_unlever\n\n        self._valuelever = self.cash + pos_value\n        self._valuemktlever = pos_value\n\n        self._leverage = pos_value / (pos_value_unlever or 1.0)\n        self._unrealized = unrealized\n\n        return self._value if not lever else self._valuelever\n\n    def get_leverage(self):\n        return self._leverage\n\n    def get_orders_open(self, safe=False):\n        '''Returns an iterable with the orders which are still open (either not\n        executed or partially executed\n\n        The orders returned must not be touched.\n\n        If order manipulation is needed, set the parameter ``safe`` to True\n        '''\n        if safe:\n            os = [x.clone() for x in self.pending]\n        else:\n            os = [x for x in self.pending]\n\n        return os\n\n    def getposition(self, data):\n        '''Returns the current position status (a ``Position`` instance) for\n        the given ``data``'''\n        return self.positions[data]\n\n    def orderstatus(self, order):\n        try:\n            o = self.orders.index(order)\n        except ValueError:\n            o = order\n\n        return o.status\n\n    def _take_children(self, order):\n        oref = order.ref\n        pref = getattr(order.parent, 'ref', oref)  # parent ref or self\n\n        if oref != pref:\n            if pref not in self._pchildren:\n                order.reject()  # parent not there - may have been rejected\n                self.notify(order)  # reject child, notify\n                return None\n\n        return pref\n\n    def submit(self, order, check=True):\n        pref = self._take_children(order)\n        if pref is None:  # order has not been taken\n            return order\n\n        pc = self._pchildren[pref]\n        pc.append(order)  # store in parent/children queue\n\n        if order.transmit:  # if single order, sent and queue cleared\n            # if parent-child, the parent will be sent, the other kept\n            rets = [self.transmit(x, check=check) for x in pc]\n            return rets[-1]  # last one is the one triggering transmission\n\n        return order\n\n    def transmit(self, order, check=True):\n        if check and self.p.checksubmit:\n            order.submit()\n            self.submitted.append(order)\n            self.orders.append(order)\n            self.notify(order)\n        else:\n            self.submit_accept(order)\n\n        return order\n\n    def check_submitted(self):\n        cash = self.cash\n        positions = dict()\n\n        while self.submitted:\n            order = self.submitted.popleft()\n\n            if self._take_children(order) is None:  # children not taken\n                continue\n\n            comminfo = self.getcommissioninfo(order.data)\n\n            position = positions.setdefault(\n                order.data, self.positions[order.data].clone())\n\n            # pseudo-execute the order to get the remaining cash after exec\n            cash = self._execute(order, cash=cash, position=position)\n\n            if cash >= 0.0:\n                self.submit_accept(order)\n                continue\n\n            order.margin()\n            self.notify(order)\n            self._ococheck(order)\n            self._bracketize(order, cancel=True)\n\n    def submit_accept(self, order):\n        order.pannotated = None\n        order.submit()\n        order.accept()\n        self.pending.append(order)\n        self.notify(order)\n\n    def _bracketize(self, order, cancel=False):\n        oref = order.ref\n        pref = getattr(order.parent, 'ref', oref)\n        parent = oref == pref\n\n        pc = self._pchildren[pref]  # defdict - guaranteed\n        if cancel or not parent:  # cancel left or child exec -> cancel other\n            while pc:\n                self.cancel(pc.popleft(), bracket=True)  # idempotent\n\n            del self._pchildren[pref]  # defdict guaranteed\n\n        else:  # not cancel -> parent exec'd\n            pc.popleft()  # remove parent\n            for o in pc:  # activate childnre\n                self._toactivate.append(o)\n\n    def _ococheck(self, order):\n        # ocoref = self._ocos[order.ref] or order.ref  # a parent or self\n        parentref = self._ocos[order.ref]\n        ocoref = self._ocos.get(parentref, None)\n        ocol = self._ocol.pop(ocoref, None)\n        if ocol:\n            for i in range(len(self.pending) - 1, -1, -1):\n                o = self.pending[i]\n                if o is not None and o.ref in ocol:\n                    del self.pending[i]\n                    o.cancel()\n                    self.notify(o)\n\n    def _ocoize(self, order, oco):\n        oref = order.ref\n        if oco is None:\n            self._ocos[oref] = oref  # current order is parent\n            self._ocol[oref].append(oref)  # create ocogroup\n        else:\n            ocoref = self._ocos[oco.ref]  # ref to group leader\n            self._ocos[oref] = ocoref  # ref to group leader\n            self._ocol[ocoref].append(oref)  # add to group\n\n    def add_order_history(self, orders, notify=True):\n        oiter = iter(orders)\n        o = next(oiter, None)\n        self._userhist.append([o, oiter, notify])\n\n    def set_fund_history(self, fund):\n        # iterable with the following pro item\n        # [datetime, share_value, net asset value]\n        fiter = iter(fund)\n        f = list(next(fiter))  # must not be empty\n        self._fundhist = [f, fiter]\n        # self._fhistlast = f[1:]\n\n        self.set_cash(float(f[2]))\n\n    def buy(self, owner, data,\n            size, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0, oco=None,\n            trailamount=None, trailpercent=None,\n            parent=None, transmit=True,\n            histnotify=False, _checksubmit=True,\n            **kwargs):\n\n        order = BuyOrder(owner=owner, data=data,\n                         size=size, price=price, pricelimit=plimit,\n                         exectype=exectype, valid=valid, tradeid=tradeid,\n                         trailamount=trailamount, trailpercent=trailpercent,\n                         parent=parent, transmit=transmit,\n                         histnotify=histnotify)\n\n        order.addinfo(**kwargs)\n        self._ocoize(order, oco)\n\n        return self.submit(order, check=_checksubmit)\n\n    def sell(self, owner, data,\n             size, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0, oco=None,\n             trailamount=None, trailpercent=None,\n             parent=None, transmit=True,\n             histnotify=False, _checksubmit=True,\n             **kwargs):\n\n        order = SellOrder(owner=owner, data=data,\n                          size=size, price=price, pricelimit=plimit,\n                          exectype=exectype, valid=valid, tradeid=tradeid,\n                          trailamount=trailamount, trailpercent=trailpercent,\n                          parent=parent, transmit=transmit,\n                          histnotify=histnotify)\n\n        order.addinfo(**kwargs)\n        self._ocoize(order, oco)\n\n        return self.submit(order, check=_checksubmit)\n\n    def _execute(self, order, ago=None, price=None, cash=None, position=None,\n                 dtcoc=None):\n        # ago = None is used a flag for pseudo execution\n        if ago is not None and price is None:\n            return  # no psuedo exec no price - no execution\n\n        if self.p.filler is None or ago is None:\n            # Order gets full size or pseudo-execution\n            size = order.executed.remsize\n        else:\n            # Execution depends on volume filler\n            size = self.p.filler(order, price, ago)\n            if not order.isbuy():\n                size = -size\n\n        # Get comminfo object for the data\n        comminfo = self.getcommissioninfo(order.data)\n\n        # Check if something has to be compensated\n        if order.data._compensate is not None:\n            data = order.data._compensate\n            cinfocomp = self.getcommissioninfo(data)  # for actual commission\n        else:\n            data = order.data\n            cinfocomp = comminfo\n\n        # Adjust position with operation size\n        if ago is not None:\n            # Real execution with date\n            position = self.positions[data]\n            pprice_orig = position.price\n\n            psize, pprice, opened, closed = position.pseudoupdate(size, price)\n\n            # if part/all of a position has been closed, then there has been\n            # a profitandloss ... record it\n            pnl = comminfo.profitandloss(-closed, pprice_orig, price)\n            cash = self.cash\n        else:\n            pnl = 0\n            if not self.p.coo:\n                price = pprice_orig = order.created.price\n            else:\n                # When doing cheat on open, the price to be considered for a\n                # market order is the opening price and not the default closing\n                # price with which the order was created\n                if order.exectype == Order.Market:\n                    price = pprice_orig = order.data.open[0]\n                else:\n                    price = pprice_orig = order.created.price\n\n            psize, pprice, opened, closed = position.update(size, price)\n\n        # \"Closing\" totally or partially is possible. Cash may be re-injected\n        if closed:\n            # Adjust to returned value for closed items & acquired opened items\n            if self.p.shortcash:\n                closedvalue = comminfo.getvaluesize(-closed, pprice_orig)\n            else:\n                closedvalue = comminfo.getoperationcost(closed, pprice_orig)\n\n            closecash = closedvalue\n            if closedvalue > 0:  # long position closed\n                closecash /= comminfo.get_leverage()  # inc cash with lever\n\n            cash += closecash + pnl * comminfo.stocklike\n            # Calculate and substract commission\n            closedcomm = comminfo.getcommission(closed, price)\n            cash -= closedcomm\n\n            if ago is not None:\n                # Cashadjust closed contracts: prev close vs exec price\n                # The operation can inject or take cash out\n                cash += comminfo.cashadjust(-closed,\n                                            position.adjbase,\n                                            price)\n\n                # Update system cash\n                self.cash = cash\n        else:\n            closedvalue = closedcomm = 0.0\n\n        popened = opened\n        if opened:\n            if self.p.shortcash:\n                openedvalue = comminfo.getvaluesize(opened, price)\n            else:\n                openedvalue = comminfo.getoperationcost(opened, price)\n\n            opencash = openedvalue\n            if openedvalue > 0:  # long position being opened\n                opencash /= comminfo.get_leverage()  # dec cash with level\n\n            cash -= opencash  # original behavior\n\n            openedcomm = cinfocomp.getcommission(opened, price)\n            cash -= openedcomm\n\n            if cash < 0.0:\n                # execution is not possible - nullify\n                opened = 0\n                openedvalue = openedcomm = 0.0\n\n            elif ago is not None:  # real execution\n                if abs(psize) > abs(opened):\n                    # some futures were opened - adjust the cash of the\n                    # previously existing futures to the operation price and\n                    # use that as new adjustment base, because it already is\n                    # for the new futures At the end of the cycle the\n                    # adjustment to the close price will be done for all open\n                    # futures from a common base price with regards to the\n                    # close price\n                    adjsize = psize - opened\n                    cash += comminfo.cashadjust(adjsize,\n                                                position.adjbase, price)\n\n                # record adjust price base for end of bar cash adjustment\n                position.adjbase = price\n\n                # update system cash - checking if opened is still != 0\n                self.cash = cash\n        else:\n            openedvalue = openedcomm = 0.0\n\n        if ago is None:\n            # return cash from pseudo-execution\n            return cash\n\n        execsize = closed + opened\n\n        if execsize:\n            # Confimrm the operation to the comminfo object\n            comminfo.confirmexec(execsize, price)\n\n            # do a real position update if something was executed\n            position.update(execsize, price, data.datetime.datetime())\n\n            if closed and self.p.int2pnl:  # Assign accumulated interest data\n                closedcomm += self.d_credit.pop(data, 0.0)\n\n            # Execute and notify the order\n            order.execute(dtcoc or data.datetime[ago],\n                          execsize, price,\n                          closed, closedvalue, closedcomm,\n                          opened, openedvalue, openedcomm,\n                          comminfo.margin, pnl,\n                          psize, pprice)\n\n            order.addcomminfo(comminfo)\n\n            self.notify(order)\n            self._ococheck(order)\n\n        if popened and not opened:\n            # opened was not executed - not enough cash\n            order.margin()\n            self.notify(order)\n            self._ococheck(order)\n            self._bracketize(order, cancel=True)\n\n    def notify(self, order):\n        self.notifs.append(order.clone())\n\n    def _try_exec_historical(self, order):\n        self._execute(order, ago=0, price=order.created.price)\n\n    def _try_exec_market(self, order, popen, phigh, plow):\n        ago = 0\n        if self.p.coc and order.info.get('coc', True):\n            dtcoc = order.created.dt\n            exprice = order.created.pclose\n        else:\n            if not self.p.coo and order.data.datetime[0] <= order.created.dt:\n                return    # can only execute after creation time\n\n            dtcoc = None\n            exprice = popen\n\n        if order.isbuy():\n            p = self._slip_up(phigh, exprice, doslip=self.p.slip_open)\n        else:\n            p = self._slip_down(plow, exprice, doslip=self.p.slip_open)\n\n        self._execute(order, ago=0, price=p, dtcoc=dtcoc)\n\n    def _try_exec_close(self, order, pclose):\n        # pannotated allows to keep track of the closing bar if there is no\n        # information which lets us know that the current bar is the closing\n        # bar (like matching end of session bar)\n        # The actual matching will be done one bar afterwards but using the\n        # information from the actual closing bar\n\n        dt0 = order.data.datetime[0]\n        # don't use \"len\" -> in replay the close can be reached with same len\n        if dt0 > order.created.dt:  # can only execute after creation time\n            # or (self.p.eosbar and dt0 == order.dteos):\n            if dt0 >= order.dteos:\n                # past the end of session or right at it and eosbar is True\n                if order.pannotated and dt0 > order.dteos:\n                    ago = -1\n                    execprice = order.pannotated\n                else:\n                    ago = 0\n                    execprice = pclose\n\n                self._execute(order, ago=ago, price=execprice)\n                return\n\n        # If no exexcution has taken place ... annotate the closing price\n        order.pannotated = pclose\n\n    def _try_exec_limit(self, order, popen, phigh, plow, plimit):\n        if order.isbuy():\n            if plimit >= popen:\n                # open smaller/equal than requested - buy cheaper\n                pmax = min(phigh, plimit)\n                p = self._slip_up(pmax, popen, doslip=self.p.slip_open,\n                                  lim=True)\n                self._execute(order, ago=0, price=p)\n            elif plimit >= plow:\n                # day low below req price ... match limit price\n                self._execute(order, ago=0, price=plimit)\n\n        else:  # Sell\n            if plimit <= popen:\n                # open greater/equal than requested - sell more expensive\n                pmin = max(plow, plimit)\n                p = self._slip_down(plimit, popen, doslip=self.p.slip_open,\n                                    lim=True)\n                self._execute(order, ago=0, price=p)\n            elif plimit <= phigh:\n                # day high above req price ... match limit price\n                self._execute(order, ago=0, price=plimit)\n\n    def _try_exec_stop(self, order, popen, phigh, plow, pcreated, pclose):\n        if order.isbuy():\n            if popen >= pcreated:\n                # price penetrated with an open gap - use open\n                p = self._slip_up(phigh, popen, doslip=self.p.slip_open)\n                self._execute(order, ago=0, price=p)\n            elif phigh >= pcreated:\n                # price penetrated during the session - use trigger price\n                p = self._slip_up(phigh, pcreated)\n                self._execute(order, ago=0, price=p)\n\n        else:  # Sell\n            if popen <= pcreated:\n                # price penetrated with an open gap - use open\n                p = self._slip_down(plow, popen, doslip=self.p.slip_open)\n                self._execute(order, ago=0, price=p)\n            elif plow <= pcreated:\n                # price penetrated during the session - use trigger price\n                p = self._slip_down(plow, pcreated)\n                self._execute(order, ago=0, price=p)\n\n        # not (completely) executed and trailing stop\n        if order.alive() and order.exectype == Order.StopTrail:\n            order.trailadjust(pclose)\n\n    def _try_exec_stoplimit(self, order,\n                            popen, phigh, plow, pclose,\n                            pcreated, plimit):\n        if order.isbuy():\n            if popen >= pcreated:\n                order.triggered = True\n                self._try_exec_limit(order, popen, phigh, plow, plimit)\n\n            elif phigh >= pcreated:\n                # price penetrated upwards during the session\n                order.triggered = True\n                # can calculate execution for a few cases - datetime is fixed\n                if popen > pclose:\n                    if plimit >= pcreated:  # limit above stop trigger\n                        p = self._slip_up(phigh, pcreated, lim=True)\n                        self._execute(order, ago=0, price=p)\n                    elif plimit >= pclose:\n                        self._execute(order, ago=0, price=plimit)\n                else:  # popen < pclose\n                    if plimit >= pcreated:\n                        p = self._slip_up(phigh, pcreated, lim=True)\n                        self._execute(order, ago=0, price=p)\n        else:  # Sell\n            if popen <= pcreated:\n                # price penetrated downwards with an open gap\n                order.triggered = True\n                self._try_exec_limit(order, popen, phigh, plow, plimit)\n\n            elif plow <= pcreated:\n                # price penetrated downwards during the session\n                order.triggered = True\n                # can calculate execution for a few cases - datetime is fixed\n                if popen <= pclose:\n                    if plimit <= pcreated:\n                        p = self._slip_down(plow, pcreated, lim=True)\n                        self._execute(order, ago=0, price=p)\n                    elif plimit <= pclose:\n                        self._execute(order, ago=0, price=plimit)\n                else:\n                    # popen > pclose\n                    if plimit <= pcreated:\n                        p = self._slip_down(plow, pcreated, lim=True)\n                        self._execute(order, ago=0, price=p)\n\n        # not (completely) executed and trailing stop\n        if order.alive() and order.exectype == Order.StopTrailLimit:\n            order.trailadjust(pclose)\n\n    def _slip_up(self, pmax, price, doslip=True, lim=False):\n        if not doslip:\n            return price\n\n        slip_perc = self.p.slip_perc\n        slip_fixed = self.p.slip_fixed\n        if slip_perc:\n            pslip = price * (1 + slip_perc)\n        elif slip_fixed:\n            pslip = price + slip_fixed\n        else:\n            return price\n\n        if pslip <= pmax:  # slipping can return price\n            return pslip\n        elif self.p.slip_match or (lim and self.p.slip_limit):\n            if not self.p.slip_out:\n                return pmax\n\n            return pslip  # non existent price\n\n        return None  # no price can be returned\n\n    def _slip_down(self, pmin, price, doslip=True, lim=False):\n        if not doslip:\n            return price\n\n        slip_perc = self.p.slip_perc\n        slip_fixed = self.p.slip_fixed\n        if slip_perc:\n            pslip = price * (1 - slip_perc)\n        elif slip_fixed:\n            pslip = price - slip_fixed\n        else:\n            return price\n\n        if pslip >= pmin:  # slipping can return price\n            return pslip\n        elif self.p.slip_match or (lim and self.p.slip_limit):\n            if not self.p.slip_out:\n                return pmin\n\n            return pslip  # non existent price\n\n        return None  # no price can be returned\n\n    def _try_exec(self, order):\n        data = order.data\n\n        popen = getattr(data, 'tick_open', None)\n        if popen is None:\n            popen = data.open[0]\n        phigh = getattr(data, 'tick_high', None)\n        if phigh is None:\n            phigh = data.high[0]\n        plow = getattr(data, 'tick_low', None)\n        if plow is None:\n            plow = data.low[0]\n        pclose = getattr(data, 'tick_close', None)\n        if pclose is None:\n            pclose = data.close[0]\n\n        pcreated = order.created.price\n        plimit = order.created.pricelimit\n\n        if order.exectype == Order.Market:\n            self._try_exec_market(order, popen, phigh, plow)\n\n        elif order.exectype == Order.Close:\n            self._try_exec_close(order, pclose)\n\n        elif order.exectype == Order.Limit:\n            self._try_exec_limit(order, popen, phigh, plow, pcreated)\n\n        elif (order.triggered and\n              order.exectype in [Order.StopLimit, Order.StopTrailLimit]):\n            self._try_exec_limit(order, popen, phigh, plow, plimit)\n\n        elif order.exectype in [Order.Stop, Order.StopTrail]:\n            self._try_exec_stop(order, popen, phigh, plow, pcreated, pclose)\n\n        elif order.exectype in [Order.StopLimit, Order.StopTrailLimit]:\n            self._try_exec_stoplimit(order,\n                                     popen, phigh, plow, pclose,\n                                     pcreated, plimit)\n\n        elif order.exectype == Order.Historical:\n            self._try_exec_historical(order)\n\n    def _process_fund_history(self):\n        fhist = self._fundhist  # [last element, iterator]\n        f, funds = fhist\n        if not f:\n            return self._fhistlast\n\n        dt = f[0]  # date/datetime instance\n        if isinstance(dt, string_types):\n            dtfmt = '%Y-%m-%d'\n            if 'T' in dt:\n                dtfmt += 'T%H:%M:%S'\n                if '.' in dt:\n                    dtfmt += '.%f'\n            dt = datetime.datetime.strptime(dt, dtfmt)\n            f[0] = dt  # update value\n\n        elif isinstance(dt, datetime.datetime):\n            pass\n        elif isinstance(dt, datetime.date):\n            dt = datetime.datetime(year=dt.year, month=dt.month, day=dt.day)\n            f[0] = dt  # Update the value\n\n        # Synchronization with the strategy is not possible because the broker\n        # is called before the strategy advances. The 2 lines below would do it\n        # if possible\n        # st0 = self.cerebro.runningstrats[0]\n        # if dt <= st0.datetime.datetime():\n        if dt <= self.cerebro._dtmaster:\n            self._fhistlast = f[1:]\n            fhist[0] = list(next(funds, []))\n\n        return self._fhistlast\n\n    def _process_order_history(self):\n        for uhist in self._userhist:\n            uhorder, uhorders, uhnotify = uhist\n            while uhorder is not None:\n                uhorder = list(uhorder)  # to support assignment (if tuple)\n                try:\n                    dataidx = uhorder[3]  # 2nd field\n                except IndexError:\n                    dataidx = None  # Field not present, use default\n\n                if dataidx is None:\n                    d = self.cerebro.datas[0]\n                elif isinstance(dataidx, integer_types):\n                    d = self.cerebro.datas[dataidx]\n                else:  # assume string\n                    d = self.cerebro.datasbyname[dataidx]\n\n                if not len(d):\n                    break  # may start later as oter data feeds\n\n                dt = uhorder[0]  # date/datetime instance\n                if isinstance(dt, string_types):\n                    dtfmt = '%Y-%m-%d'\n                    if 'T' in dt:\n                        dtfmt += 'T%H:%M:%S'\n                        if '.' in dt:\n                            dtfmt += '.%f'\n                    dt = datetime.datetime.strptime(dt, dtfmt)\n                    uhorder[0] = dt\n                elif isinstance(dt, datetime.datetime):\n                    pass\n                elif isinstance(dt, datetime.date):\n                    dt = datetime.datetime(year=dt.year,\n                                           month=dt.month,\n                                           day=dt.day)\n                    uhorder[0] = dt\n\n                if dt > d.datetime.datetime():\n                    break  # cannot execute yet 1st in queue, stop processing\n\n                size = uhorder[1]\n                price = uhorder[2]\n                owner = self.cerebro.runningstrats[0]\n                if size > 0:\n                    o = self.buy(owner=owner, data=d,\n                                 size=size, price=price,\n                                 exectype=Order.Historical,\n                                 histnotify=uhnotify,\n                                 _checksubmit=False)\n\n                elif size < 0:\n                    o = self.sell(owner=owner, data=d,\n                                  size=abs(size), price=price,\n                                  exectype=Order.Historical,\n                                  histnotify=uhnotify,\n                                  _checksubmit=False)\n\n                # update to next potential order\n                uhist[0] = uhorder = next(uhorders, None)\n\n    def next(self):\n        while self._toactivate:\n            self._toactivate.popleft().activate()\n\n        if self.p.checksubmit:\n            self.check_submitted()\n\n        # Discount any cash for positions hold\n        credit = 0.0\n        for data, pos in self.positions.items():\n            if pos:\n                comminfo = self.getcommissioninfo(data)\n                dt0 = data.datetime.datetime()\n                dcredit = comminfo.get_credit_interest(data, pos, dt0)\n                self.d_credit[data] += dcredit\n                credit += dcredit\n                pos.datetime = dt0  # mark last credit operation\n\n        self.cash -= credit\n\n        self._process_order_history()\n\n        # Iterate once over all elements of the pending queue\n        self.pending.append(None)\n        while True:\n            order = self.pending.popleft()\n            if order is None:\n                break\n\n            if order.expire():\n                self.notify(order)\n                self._ococheck(order)\n                self._bracketize(order, cancel=True)\n\n            elif not order.active():\n                self.pending.append(order)  # cannot yet be processed\n\n            else:\n                self._try_exec(order)\n                if order.alive():\n                    self.pending.append(order)\n\n                elif order.status == Order.Completed:\n                    # a bracket parent order may have been executed\n                    self._bracketize(order)\n\n        # Operations have been executed ... adjust cash end of bar\n        for data, pos in self.positions.items():\n            # futures change cash every bar\n            if pos:\n                comminfo = self.getcommissioninfo(data)\n                self.cash += comminfo.cashadjust(pos.size,\n                                                 pos.adjbase,\n                                                 data.close[0])\n                # record the last adjustment price\n                pos.adjbase = data.close[0]\n\n        self._get_value()  # update value\n\n\n# Alias\nBrokerBack = BackBroker\n"
  },
  {
    "path": "backtrader/brokers/ibbroker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom copy import copy\nfrom datetime import date, datetime, timedelta\nimport threading\nimport uuid\n\nimport ib.ext.Order\nimport ib.opt as ibopt\n\nfrom backtrader.feed import DataBase\nfrom backtrader import (TimeFrame, num2date, date2num, BrokerBase,\n                        Order, OrderBase, OrderData)\nfrom backtrader.utils.py3 import bytes, bstr, with_metaclass, queue, MAXFLOAT\nfrom backtrader.metabase import MetaParams\nfrom backtrader.comminfo import CommInfoBase\nfrom backtrader.position import Position\nfrom backtrader.stores import ibstore\nfrom backtrader.utils import AutoDict, AutoOrderedDict\nfrom backtrader.comminfo import CommInfoBase\n\nbytes = bstr  # py2/3 need for ibpy\n\n\nclass IBOrderState(object):\n    # wraps OrderState object and can print it\n    _fields = ['status', 'initMargin', 'maintMargin', 'equityWithLoan',\n               'commission', 'minCommission', 'maxCommission',\n               'commissionCurrency', 'warningText']\n\n    def __init__(self, orderstate):\n        for f in self._fields:\n            fname = 'm_' + f\n            setattr(self, fname, getattr(orderstate, fname))\n\n    def __str__(self):\n        txt = list()\n        txt.append('--- ORDERSTATE BEGIN')\n        for f in self._fields:\n            fname = 'm_' + f\n            txt.append('{}: {}'.format(f.capitalize(), getattr(self, fname)))\n        txt.append('--- ORDERSTATE END')\n        return '\\n'.join(txt)\n\n\nclass IBOrder(OrderBase, ib.ext.Order.Order):\n    '''Subclasses the IBPy order to provide the minimum extra functionality\n    needed to be compatible with the internally defined orders\n\n    Once ``OrderBase`` has processed the parameters, the __init__ method takes\n    over to use the parameter values and set the appropriate values in the\n    ib.ext.Order.Order object\n\n    Any extra parameters supplied with kwargs are applied directly to the\n    ib.ext.Order.Order object, which could be used as follows::\n\n      Example: if the 4 order execution types directly supported by\n      ``backtrader`` are not enough, in the case of for example\n      *Interactive Brokers* the following could be passed as *kwargs*::\n\n        orderType='LIT', lmtPrice=10.0, auxPrice=9.8\n\n      This would override the settings created by ``backtrader`` and\n      generate a ``LIMIT IF TOUCHED`` order with a *touched* price of 9.8\n      and a *limit* price of 10.0.\n\n    This would be done almost always from the ``Buy`` and ``Sell`` methods of\n    the ``Strategy`` subclass being used in ``Cerebro``\n    '''\n\n    def __str__(self):\n        '''Get the printout from the base class and add some ib.Order specific\n        fields'''\n        basetxt = super(IBOrder, self).__str__()\n        tojoin = [basetxt]\n        tojoin.append('Ref: {}'.format(self.ref))\n        tojoin.append('orderId: {}'.format(self.m_orderId))\n        tojoin.append('Action: {}'.format(self.m_action))\n        tojoin.append('Size (ib): {}'.format(self.m_totalQuantity))\n        tojoin.append('Lmt Price: {}'.format(self.m_lmtPrice))\n        tojoin.append('Aux Price: {}'.format(self.m_auxPrice))\n        tojoin.append('OrderType: {}'.format(self.m_orderType))\n        tojoin.append('Tif (Time in Force): {}'.format(self.m_tif))\n        tojoin.append('GoodTillDate: {}'.format(self.m_goodTillDate))\n        return '\\n'.join(tojoin)\n\n    # Map backtrader order types to the ib specifics\n    _IBOrdTypes = {\n        None: bytes('MKT'),  # default\n        Order.Market: bytes('MKT'),\n        Order.Limit: bytes('LMT'),\n        Order.Close: bytes('MOC'),\n        Order.Stop: bytes('STP'),\n        Order.StopLimit: bytes('STPLMT'),\n        Order.StopTrail: bytes('TRAIL'),\n        Order.StopTrailLimit: bytes('TRAIL LIMIT'),\n    }\n\n    def __init__(self, action, **kwargs):\n\n        # Marker to indicate an openOrder has been seen with\n        # PendinCancel/Cancelled which is indication of an upcoming\n        # cancellation\n        self._willexpire = False\n\n        self.ordtype = self.Buy if action == 'BUY' else self.Sell\n\n        super(IBOrder, self).__init__()\n        ib.ext.Order.Order.__init__(self)  # Invoke 2nd base class\n\n        # Now fill in the specific IB parameters\n        self.m_orderType = self._IBOrdTypes[self.exectype]\n        self.m_permid = 0\n\n        # 'B' or 'S' should be enough\n        self.m_action = bytes(action)\n\n        # Set the prices\n        self.m_lmtPrice = 0.0\n        self.m_auxPrice = 0.0\n\n        if self.exectype == self.Market:  # is it really needed for Market?\n            pass\n        elif self.exectype == self.Close:  # is it ireally needed for Close?\n            pass\n        elif self.exectype == self.Limit:\n            self.m_lmtPrice = self.price\n        elif self.exectype == self.Stop:\n            self.m_auxPrice = self.price  # stop price / exec is market\n        elif self.exectype == self.StopLimit:\n            self.m_lmtPrice = self.pricelimit  # req limit execution\n            self.m_auxPrice = self.price  # trigger price\n        elif self.exectype == self.StopTrail:\n            if self.trailamount is not None:\n                self.m_auxPrice = self.trailamount\n            elif self.trailpercent is not None:\n                # value expected in % format ... multiply 100.0\n                self.m_trailingPercent = self.trailpercent * 100.0\n        elif self.exectype == self.StopTrailLimit:\n            self.m_trailStopPrice = self.m_lmtPrice = self.price\n            # The limit offset is set relative to the price difference in TWS\n            self.m_lmtPrice = self.pricelimit\n            if self.trailamount is not None:\n                self.m_auxPrice = self.trailamount\n            elif self.trailpercent is not None:\n                # value expected in % format ... multiply 100.0\n                self.m_trailingPercent = self.trailpercent * 100.0\n\n        self.m_totalQuantity = abs(self.size)  # ib takes only positives\n\n        self.m_transmit = self.transmit\n        if self.parent is not None:\n            self.m_parentId = self.parent.m_orderId\n\n        # Time In Force: DAY, GTC, IOC, GTD\n        if self.valid is None:\n            tif = 'GTC'  # Good til cancelled\n        elif isinstance(self.valid, (datetime, date)):\n            tif = 'GTD'  # Good til date\n            self.m_goodTillDate = bytes(self.valid.strftime('%Y%m%d %H:%M:%S'))\n        elif isinstance(self.valid, (timedelta,)):\n            if self.valid == self.DAY:\n                tif = 'DAY'\n            else:\n                tif = 'GTD'  # Good til date\n                valid = datetime.now() + self.valid  # .now, using localtime\n                self.m_goodTillDate = bytes(valid.strftime('%Y%m%d %H:%M:%S'))\n\n        elif self.valid == 0:\n            tif = 'DAY'\n        else:\n            tif = 'GTD'  # Good til date\n            valid = num2date(self.valid)\n            self.m_goodTillDate = bytes(valid.strftime('%Y%m%d %H:%M:%S'))\n\n        self.m_tif = bytes(tif)\n\n        # OCA\n        self.m_ocaType = 1  # Cancel all remaining orders with block\n\n        # pass any custom arguments to the order\n        for k in kwargs:\n            setattr(self, (not hasattr(self, k)) * 'm_' + k, kwargs[k])\n\n\nclass IBCommInfo(CommInfoBase):\n    '''\n    Commissions are calculated by ib, but the trades calculations in the\n    ```Strategy`` rely on the order carrying a CommInfo object attached for the\n    calculation of the operation cost and value.\n\n    These are non-critical informations, but removing them from the trade could\n    break existing usage and it is better to provide a CommInfo objet which\n    enables those calculations even if with approvimate values.\n\n    The margin calculation is not a known in advance information with IB\n    (margin impact can be gotten from OrderState objects) and therefore it is\n    left as future exercise to get it'''\n\n    def getvaluesize(self, size, price):\n        # In real life the margin approaches the price\n        return abs(size) * price\n\n    def getoperationcost(self, size, price):\n        '''Returns the needed amount of cash an operation would cost'''\n        # Same reasoning as above\n        return abs(size) * price\n\n\nclass MetaIBBroker(BrokerBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaIBBroker, cls).__init__(name, bases, dct)\n        ibstore.IBStore.BrokerCls = cls\n\n\nclass IBBroker(with_metaclass(MetaIBBroker, BrokerBase)):\n    '''Broker implementation for Interactive Brokers.\n\n    This class maps the orders/positions from Interactive Brokers to the\n    internal API of ``backtrader``.\n\n    Notes:\n\n      - ``tradeid`` is not really supported, because the profit and loss are\n        taken directly from IB. Because (as expected) calculates it in FIFO\n        manner, the pnl is not accurate for the tradeid.\n\n      - Position\n\n        If there is an open position for an asset at the beginning of\n        operaitons or orders given by other means change a position, the trades\n        calculated in the ``Strategy`` in cerebro will not reflect the reality.\n\n        To avoid this, this broker would have to do its own position\n        management which would also allow tradeid with multiple ids (profit and\n        loss would also be calculated locally), but could be considered to be\n        defeating the purpose of working with a live broker\n    '''\n    params = ()\n\n    def __init__(self, **kwargs):\n        super(IBBroker, self).__init__()\n\n        self.ib = ibstore.IBStore(**kwargs)\n\n        self.startingcash = self.cash = 0.0\n        self.startingvalue = self.value = 0.0\n\n        self._lock_orders = threading.Lock()  # control access\n        self.orderbyid = dict()  # orders by order id\n        self.executions = dict()  # notified executions\n        self.ordstatus = collections.defaultdict(dict)\n        self.notifs = queue.Queue()  # holds orders which are notified\n        self.tonotify = collections.deque()  # hold oids to be notified\n\n    def start(self):\n        super(IBBroker, self).start()\n        self.ib.start(broker=self)\n\n        if self.ib.connected():\n            self.ib.reqAccountUpdates()\n            self.startingcash = self.cash = self.ib.get_acc_cash()\n            self.startingvalue = self.value = self.ib.get_acc_value()\n        else:\n            self.startingcash = self.cash = 0.0\n            self.startingvalue = self.value = 0.0\n\n    def stop(self):\n        super(IBBroker, self).stop()\n        self.ib.stop()\n\n    def getcash(self):\n        # This call cannot block if no answer is available from ib\n        self.cash = self.ib.get_acc_cash()\n        return self.cash\n\n    def getvalue(self, datas=None):\n        self.value = self.ib.get_acc_value()\n        return self.value\n\n    def getposition(self, data, clone=True):\n        return self.ib.getposition(data.tradecontract, clone=clone)\n\n    def cancel(self, order):\n        try:\n            o = self.orderbyid[order.m_orderId]\n        except (ValueError, KeyError):\n            return  # not found ... not cancellable\n\n        if order.status == Order.Cancelled:  # already cancelled\n            return\n\n        self.ib.cancelOrder(order.m_orderId)\n\n    def orderstatus(self, order):\n        try:\n            o = self.orderbyid[order.m_orderId]\n        except (ValueError, KeyError):\n            o = order\n\n        return o.status\n\n    def submit(self, order):\n        order.submit(self)\n\n        # ocoize if needed\n        if order.oco is None:  # Generate a UniqueId\n            order.m_ocaGroup = bytes(uuid.uuid4())\n        else:\n            order.m_ocaGroup = self.orderbyid[order.oco.m_orderId].m_ocaGroup\n\n        self.orderbyid[order.m_orderId] = order\n        self.ib.placeOrder(order.m_orderId, order.data.tradecontract, order)\n        self.notify(order)\n\n        return order\n\n    def getcommissioninfo(self, data):\n        contract = data.tradecontract\n        try:\n            mult = float(contract.m_multiplier)\n        except (ValueError, TypeError):\n            mult = 1.0\n\n        stocklike = contract.m_secType not in ('FUT', 'OPT', 'FOP',)\n\n        return IBCommInfo(mult=mult, stocklike=stocklike)\n\n    def _makeorder(self, action, owner, data,\n                   size, price=None, plimit=None,\n                   exectype=None, valid=None,\n                   tradeid=0, **kwargs):\n\n        order = IBOrder(action, owner=owner, data=data,\n                        size=size, price=price, pricelimit=plimit,\n                        exectype=exectype, valid=valid,\n                        tradeid=tradeid,\n                        m_clientId=self.ib.clientId,\n                        m_orderId=self.ib.nextOrderId(),\n                        **kwargs)\n\n        order.addcomminfo(self.getcommissioninfo(data))\n        return order\n\n    def buy(self, owner, data,\n            size, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0,\n            **kwargs):\n\n        order = self._makeorder(\n            'BUY',\n            owner, data, size, price, plimit, exectype, valid, tradeid,\n            **kwargs)\n\n        return self.submit(order)\n\n    def sell(self, owner, data,\n             size, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0,\n             **kwargs):\n\n        order = self._makeorder(\n            'SELL',\n            owner, data, size, price, plimit, exectype, valid, tradeid,\n            **kwargs)\n\n        return self.submit(order)\n\n    def notify(self, order):\n        self.notifs.put(order.clone())\n\n    def get_notification(self):\n        try:\n            return self.notifs.get(False)\n        except queue.Empty:\n            pass\n\n        return None\n\n    def next(self):\n        self.notifs.put(None)  # mark notificatino boundary\n\n    # Order statuses in msg\n    (SUBMITTED, FILLED, CANCELLED, INACTIVE,\n     PENDINGSUBMIT, PENDINGCANCEL, PRESUBMITTED) = (\n        'Submitted', 'Filled', 'Cancelled', 'Inactive',\n         'PendingSubmit', 'PendingCancel', 'PreSubmitted',)\n\n    def push_orderstatus(self, msg):\n        # Cancelled and Submitted with Filled = 0 can be pushed immediately\n        try:\n            order = self.orderbyid[msg.orderId]\n        except KeyError:\n            return  # not found, it was not an order\n\n        if msg.status == self.SUBMITTED and msg.filled == 0:\n            if order.status == order.Accepted:  # duplicate detection\n                return\n\n            order.accept(self)\n            self.notify(order)\n\n        elif msg.status == self.CANCELLED:\n            # duplicate detection\n            if order.status in [order.Cancelled, order.Expired]:\n                return\n\n            if order._willexpire:\n                # An openOrder has been seen with PendingCancel/Cancelled\n                # and this happens when an order expires\n                order.expire()\n            else:\n                # Pure user cancellation happens without an openOrder\n                order.cancel()\n            self.notify(order)\n\n        elif msg.status == self.PENDINGCANCEL:\n            # In theory this message should not be seen according to the docs,\n            # but other messages like PENDINGSUBMIT which are similarly\n            # described in the docs have been received in the demo\n            if order.status == order.Cancelled:  # duplicate detection\n                return\n\n            # We do nothing because the situation is handled with the 202 error\n            # code if no orderStatus with CANCELLED is seen\n            # order.cancel()\n            # self.notify(order)\n\n        elif msg.status == self.INACTIVE:\n            # This is a tricky one, because the instances seen have led to\n            # order rejection in the demo, but according to the docs there may\n            # be a number of reasons and it seems like it could be reactivated\n            if order.status == order.Rejected:  # duplicate detection\n                return\n\n            order.reject(self)\n            self.notify(order)\n\n        elif msg.status in [self.SUBMITTED, self.FILLED]:\n            # These two are kept inside the order until execdetails and\n            # commission are all in place - commission is the last to come\n            self.ordstatus[msg.orderId][msg.filled] = msg\n\n        elif msg.status in [self.PENDINGSUBMIT, self.PRESUBMITTED]:\n            # According to the docs, these statuses can only be set by the\n            # programmer but the demo account sent it back at random times with\n            # \"filled\"\n            if msg.filled:\n                self.ordstatus[msg.orderId][msg.filled] = msg\n        else:  # Unknown status ...\n            pass\n\n    def push_execution(self, ex):\n        self.executions[ex.m_execId] = ex\n\n    def push_commissionreport(self, cr):\n        with self._lock_orders:\n            ex = self.executions.pop(cr.m_execId)\n            oid = ex.m_orderId\n            order = self.orderbyid[oid]\n            ostatus = self.ordstatus[oid].pop(ex.m_cumQty)\n\n            position = self.getposition(order.data, clone=False)\n            pprice_orig = position.price\n            size = ex.m_shares if ex.m_side[0] == 'B' else -ex.m_shares\n            price = ex.m_price\n            # use pseudoupdate and let the updateportfolio do the real update?\n            psize, pprice, opened, closed = position.update(size, price)\n\n            # split commission between closed and opened\n            comm = cr.m_commission\n            closedcomm = comm * closed / size\n            openedcomm = comm - closedcomm\n\n            comminfo = order.comminfo\n            closedvalue = comminfo.getoperationcost(closed, pprice_orig)\n            openedvalue = comminfo.getoperationcost(opened, price)\n\n            # default in m_pnl is MAXFLOAT\n            pnl = cr.m_realizedPNL if closed else 0.0\n\n            # The internal broker calc should yield the same result\n            # pnl = comminfo.profitandloss(-closed, pprice_orig, price)\n\n            # Use the actual time provided by the execution object\n            # The report from TWS is in actual local time, not the data's tz\n            dt = date2num(datetime.strptime(ex.m_time, '%Y%m%d  %H:%M:%S'))\n\n            # Need to simulate a margin, but it plays no role, because it is\n            # controlled by a real broker. Let's set the price of the item\n            margin = order.data.close[0]\n\n            order.execute(dt, size, price,\n                          closed, closedvalue, closedcomm,\n                          opened, openedvalue, openedcomm,\n                          margin, pnl,\n                          psize, pprice)\n\n            if ostatus.status == self.FILLED:\n                order.completed()\n                self.ordstatus.pop(oid)  # nothing left to be reported\n            else:\n                order.partial()\n\n            if oid not in self.tonotify:  # Lock needed\n                self.tonotify.append(oid)\n\n    def push_portupdate(self):\n        # If the IBStore receives a Portfolio update, then this method will be\n        # indicated. If the execution of an order is split in serveral lots,\n        # updatePortfolio messages will be intermixed, which is used as a\n        # signal to indicate that the strategy can be notified\n        with self._lock_orders:\n            while self.tonotify:\n                oid = self.tonotify.popleft()\n                order = self.orderbyid[oid]\n                self.notify(order)\n\n    def push_ordererror(self, msg):\n        with self._lock_orders:\n            try:\n                order = self.orderbyid[msg.id]\n            except (KeyError, AttributeError):\n                return  # no order or no id in error\n\n            if msg.errorCode == 202:\n                if not order.alive():\n                    return\n                order.cancel()\n\n            elif msg.errorCode == 201:  # rejected\n                if order.status == order.Rejected:\n                    return\n                order.reject()\n\n            else:\n                order.reject()  # default for all other cases\n\n            self.notify(order)\n\n    def push_orderstate(self, msg):\n        with self._lock_orders:\n            try:\n                order = self.orderbyid[msg.orderId]\n            except (KeyError, AttributeError):\n                return  # no order or no id in error\n\n            if msg.orderState.m_status in ['PendingCancel', 'Cancelled',\n                                           'Canceled']:\n                # This is most likely due to an expiration]\n                order._willexpire = True\n"
  },
  {
    "path": "backtrader/brokers/oandabroker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom copy import copy\nfrom datetime import date, datetime, timedelta\nimport threading\n\nfrom backtrader.feed import DataBase\nfrom backtrader import (TimeFrame, num2date, date2num, BrokerBase,\n                        Order, BuyOrder, SellOrder, OrderBase, OrderData)\nfrom backtrader.utils.py3 import bytes, with_metaclass, MAXFLOAT\nfrom backtrader.metabase import MetaParams\nfrom backtrader.comminfo import CommInfoBase\nfrom backtrader.position import Position\nfrom backtrader.stores import oandastore\nfrom backtrader.utils import AutoDict, AutoOrderedDict\nfrom backtrader.comminfo import CommInfoBase\n\n\nclass OandaCommInfo(CommInfoBase):\n    def getvaluesize(self, size, price):\n        # In real life the margin approaches the price\n        return abs(size) * price\n\n    def getoperationcost(self, size, price):\n        '''Returns the needed amount of cash an operation would cost'''\n        # Same reasoning as above\n        return abs(size) * price\n\n\nclass MetaOandaBroker(BrokerBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaOandaBroker, cls).__init__(name, bases, dct)\n        oandastore.OandaStore.BrokerCls = cls\n\n\nclass OandaBroker(with_metaclass(MetaOandaBroker, BrokerBase)):\n    '''Broker implementation for Oanda.\n\n    This class maps the orders/positions from Oanda to the\n    internal API of ``backtrader``.\n\n    Params:\n\n      - ``use_positions`` (default:``True``): When connecting to the broker\n        provider use the existing positions to kickstart the broker.\n\n        Set to ``False`` during instantiation to disregard any existing\n        position\n    '''\n    params = (\n        ('use_positions', True),\n        ('commission', OandaCommInfo(mult=1.0, stocklike=False)),\n    )\n\n    def __init__(self, **kwargs):\n        super(OandaBroker, self).__init__()\n\n        self.o = oandastore.OandaStore(**kwargs)\n\n        self.orders = collections.OrderedDict()  # orders by order id\n        self.notifs = collections.deque()  # holds orders which are notified\n\n        self.opending = collections.defaultdict(list)  # pending transmission\n        self.brackets = dict()  # confirmed brackets\n\n        self.startingcash = self.cash = 0.0\n        self.startingvalue = self.value = 0.0\n        self.positions = collections.defaultdict(Position)\n\n    def start(self):\n        super(OandaBroker, self).start()\n        self.o.start(broker=self)\n        self.startingcash = self.cash = cash = self.o.get_cash()\n        self.startingvalue = self.value = self.o.get_value()\n\n        if self.p.use_positions:\n            for p in self.o.get_positions():\n                print('position for instrument:', p['instrument'])\n                is_sell = p['side'] == 'sell'\n                size = p['units']\n                if is_sell:\n                    size = -size\n                price = p['avgPrice']\n                self.positions[p['instrument']] = Position(size, price)\n\n    def data_started(self, data):\n        pos = self.getposition(data)\n\n        if pos.size < 0:\n            order = SellOrder(data=data,\n                              size=pos.size, price=pos.price,\n                              exectype=Order.Market,\n                              simulated=True)\n\n            order.addcomminfo(self.getcommissioninfo(data))\n            order.execute(0, pos.size, pos.price,\n                          0, 0.0, 0.0,\n                          pos.size, 0.0, 0.0,\n                          0.0, 0.0,\n                          pos.size, pos.price)\n\n            order.completed()\n            self.notify(order)\n\n        elif pos.size > 0:\n            order = BuyOrder(data=data,\n                             size=pos.size, price=pos.price,\n                             exectype=Order.Market,\n                             simulated=True)\n\n            order.addcomminfo(self.getcommissioninfo(data))\n            order.execute(0, pos.size, pos.price,\n                          0, 0.0, 0.0,\n                          pos.size, 0.0, 0.0,\n                          0.0, 0.0,\n                          pos.size, pos.price)\n\n            order.completed()\n            self.notify(order)\n\n    def stop(self):\n        super(OandaBroker, self).stop()\n        self.o.stop()\n\n    def getcash(self):\n        # This call cannot block if no answer is available from oanda\n        self.cash = cash = self.o.get_cash()\n        return cash\n\n    def getvalue(self, datas=None):\n        self.value = self.o.get_value()\n        return self.value\n\n    def getposition(self, data, clone=True):\n        # return self.o.getposition(data._dataname, clone=clone)\n        pos = self.positions[data._dataname]\n        if clone:\n            pos = pos.clone()\n\n        return pos\n\n    def orderstatus(self, order):\n        o = self.orders[order.ref]\n        return o.status\n\n    def _submit(self, oref):\n        order = self.orders[oref]\n        order.submit(self)\n        self.notify(order)\n        for o in self._bracketnotif(order):\n            o.submit(self)\n            self.notify(o)\n\n    def _reject(self, oref):\n        order = self.orders[oref]\n        order.reject(self)\n        self.notify(order)\n        self._bracketize(order, cancel=True)\n\n    def _accept(self, oref):\n        order = self.orders[oref]\n        order.accept()\n        self.notify(order)\n        for o in self._bracketnotif(order):\n            o.accept(self)\n            self.notify(o)\n\n    def _cancel(self, oref):\n        order = self.orders[oref]\n        order.cancel()\n        self.notify(order)\n        self._bracketize(order, cancel=True)\n\n    def _expire(self, oref):\n        order = self.orders[oref]\n        order.expire()\n        self.notify(order)\n        self._bracketize(order, cancel=True)\n\n    def _bracketnotif(self, order):\n        pref = getattr(order.parent, 'ref', order.ref)  # parent ref or self\n        br = self.brackets.get(pref, None)  # to avoid recursion\n        return br[-2:] if br is not None else []\n\n    def _bracketize(self, order, cancel=False):\n        pref = getattr(order.parent, 'ref', order.ref)  # parent ref or self\n        br = self.brackets.pop(pref, None)  # to avoid recursion\n        if br is None:\n            return\n\n        if not cancel:\n            if len(br) == 3:  # all 3 orders in place, parent was filled\n                br = br[1:]  # discard index 0, parent\n                for o in br:\n                    o.activate()  # simulate activate for children\n                self.brackets[pref] = br  # not done - reinsert children\n\n            elif len(br) == 2:  # filling a children\n                oidx = br.index(order)  # find index to filled (0 or 1)\n                self._cancel(br[1 - oidx].ref)  # cancel remaining (1 - 0 -> 1)\n        else:\n            # Any cancellation cancel the others\n            for o in br:\n                if o.alive():\n                    self._cancel(o.ref)\n\n    def _fill(self, oref, size, price, ttype, **kwargs):\n        order = self.orders[oref]\n\n        if not order.alive():  # can be a bracket\n            pref = getattr(order.parent, 'ref', order.ref)\n            if pref not in self.brackets:\n                msg = ('Order fill received for {}, with price {} and size {} '\n                       'but order is no longer alive and is not a bracket. '\n                       'Unknown situation')\n                msg.format(order.ref, price, size)\n                self.put_notification(msg, order, price, size)\n                return\n\n            # [main, stopside, takeside], neg idx to array are -3, -2, -1\n            if ttype == 'STOP_LOSS_FILLED':\n                order = self.brackets[pref][-2]\n            elif ttype == 'TAKE_PROFIT_FILLED':\n                order = self.brackets[pref][-1]\n            else:\n                msg = ('Order fill received for {}, with price {} and size {} '\n                       'but order is no longer alive and is a bracket. '\n                       'Unknown situation')\n                msg.format(order.ref, price, size)\n                self.put_notification(msg, order, price, size)\n                return\n\n        data = order.data\n        pos = self.getposition(data, clone=False)\n        psize, pprice, opened, closed = pos.update(size, price)\n\n        comminfo = self.getcommissioninfo(data)\n\n        closedvalue = closedcomm = 0.0\n        openedvalue = openedcomm = 0.0\n        margin = pnl = 0.0\n\n        order.execute(data.datetime[0], size, price,\n                      closed, closedvalue, closedcomm,\n                      opened, openedvalue, openedcomm,\n                      margin, pnl,\n                      psize, pprice)\n\n        if order.executed.remsize:\n            order.partial()\n            self.notify(order)\n        else:\n            order.completed()\n            self.notify(order)\n            self._bracketize(order)\n\n    def _transmit(self, order):\n        oref = order.ref\n        pref = getattr(order.parent, 'ref', oref)  # parent ref or self\n\n        if order.transmit:\n            if oref != pref:  # children order\n                # Put parent in orders dict, but add stopside and takeside\n                # to order creation. Return the takeside order, to have 3s\n                takeside = order  # alias for clarity\n                parent, stopside = self.opending.pop(pref)\n                for o in parent, stopside, takeside:\n                    self.orders[o.ref] = o  # write them down\n\n                self.brackets[pref] = [parent, stopside, takeside]\n                self.o.order_create(parent, stopside, takeside)\n                return takeside  # parent was already returned\n\n            else:  # Parent order, which is not being transmitted\n                self.orders[order.ref] = order\n                return self.o.order_create(order)\n\n        # Not transmitting\n        self.opending[pref].append(order)\n        return order\n\n    def buy(self, owner, data,\n            size, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0, oco=None,\n            trailamount=None, trailpercent=None,\n            parent=None, transmit=True,\n            **kwargs):\n\n        order = BuyOrder(owner=owner, data=data,\n                         size=size, price=price, pricelimit=plimit,\n                         exectype=exectype, valid=valid, tradeid=tradeid,\n                         trailamount=trailamount, trailpercent=trailpercent,\n                         parent=parent, transmit=transmit)\n\n        order.addinfo(**kwargs)\n        order.addcomminfo(self.getcommissioninfo(data))\n        return self._transmit(order)\n\n    def sell(self, owner, data,\n             size, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0, oco=None,\n             trailamount=None, trailpercent=None,\n             parent=None, transmit=True,\n             **kwargs):\n\n        order = SellOrder(owner=owner, data=data,\n                          size=size, price=price, pricelimit=plimit,\n                          exectype=exectype, valid=valid, tradeid=tradeid,\n                          trailamount=trailamount, trailpercent=trailpercent,\n                          parent=parent, transmit=transmit)\n\n        order.addinfo(**kwargs)\n        order.addcomminfo(self.getcommissioninfo(data))\n        return self._transmit(order)\n\n    def cancel(self, order):\n        o = self.orders[order.ref]\n        if order.status == Order.Cancelled:  # already cancelled\n            return\n\n        return self.o.order_cancel(order)\n\n    def notify(self, order):\n        self.notifs.append(order.clone())\n\n    def get_notification(self):\n        if not self.notifs:\n            return None\n\n        return self.notifs.popleft()\n\n    def next(self):\n        self.notifs.append(None)  # mark notification boundary\n"
  },
  {
    "path": "backtrader/brokers/vcbroker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom datetime import date, datetime, timedelta\nimport threading\n\nfrom backtrader import BrokerBase, Order, BuyOrder, SellOrder\nfrom backtrader.comminfo import CommInfoBase\nfrom backtrader.feed import DataBase\nfrom backtrader.metabase import MetaParams\nfrom backtrader.position import Position\nfrom backtrader.utils.py3 import with_metaclass\n\nfrom backtrader.stores import vcstore\n\n\nclass VCCommInfo(CommInfoBase):\n    '''\n    Commissions are calculated by ib, but the trades calculations in the\n    ```Strategy`` rely on the order carrying a CommInfo object attached for the\n    calculation of the operation cost and value.\n\n    These are non-critical informations, but removing them from the trade could\n    break existing usage and it is better to provide a CommInfo objet which\n    enables those calculations even if with approvimate values.\n\n    The margin calculation is not a known in advance information with IB\n    (margin impact can be gotten from OrderState objects) and therefore it is\n    left as future exercise to get it'''\n\n    def getvaluesize(self, size, price):\n        # In real life the margin approaches the price\n        return abs(size) * price\n\n    def getoperationcost(self, size, price):\n        '''Returns the needed amount of cash an operation would cost'''\n        # Same reasoning as above\n        return abs(size) * price\n\n\nclass MetaVCBroker(BrokerBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaVCBroker, cls).__init__(name, bases, dct)\n        vcstore.VCStore.BrokerCls = cls\n\n\nclass VCBroker(with_metaclass(MetaVCBroker, BrokerBase)):\n    '''Broker implementation for VisualChart.\n\n    This class maps the orders/positions from VisualChart to the\n    internal API of ``backtrader``.\n\n    Params:\n\n      - ``account`` (default: None)\n\n        VisualChart supports several accounts simultaneously on the broker. If\n        the default ``None`` is in place the 1st account in the ComTrader\n        ``Accounts`` collection will be used.\n\n        If an account name is provided, the ``Accounts`` collection will be\n        checked and used if present\n\n      - ``commission`` (default: None)\n\n        An object will be autogenerated if no commission-scheme is passed as\n        parameter\n\n        See the notes below for further explanations\n\n    Notes:\n\n      - Position\n\n        VisualChart reports \"OpenPositions\" updates through the ComTrader\n        interface but only when the position has a \"size\". An update to\n        indicate a position has moved to ZERO is reported by the absence of\n        such position. This forces to keep accounting of the positions by\n        looking at the execution events, just like the simulation broker does\n\n      - Commission\n\n        The ComTrader interface of VisualChart does not report commissions and\n        as such the auto-generated CommissionInfo object cannot use\n        non-existent commissions to properly account for them. In order to\n        support commissions a ``commission`` parameter has to be passed with\n        the appropriate commission schemes.\n\n        The documentation on Commission Schemes details how to do this\n\n      - Expiration Timing\n\n        The ComTrader interface (or is it the comtypes module?) discards\n        ``time`` information from ``datetime`` objects and expiration dates are\n        always full dates.\n\n      - Expiration Reporting\n\n        At the moment no heuristic is in place to determine when a cancelled\n        order has been cancelled due to expiration. And therefore expired\n        orders are reported as cancelled.\n    '''\n    params = (\n        ('account', None),\n        ('commission', None),\n    )\n\n    def __init__(self, **kwargs):\n        super(VCBroker, self).__init__()\n\n        self.store = vcstore.VCStore(**kwargs)\n\n        # Account data\n        self._acc_name = None\n        self.startingcash = self.cash = 0.0\n        self.startingvalue = self.value = 0.0\n\n        # Position accounting\n        self._lock_pos = threading.Lock()  # sync account updates\n        self.positions = collections.defaultdict(Position)  # actual positions\n\n        # Order storage\n        self._lock_orders = threading.Lock()  # control access\n        self.orderbyid = dict()  # orders by order id\n\n        # Notifications\n        self.notifs = collections.deque()\n\n        # Dictionaries of values for order mapping\n        self._otypes = {\n            Order.Market: self.store.vcctmod.OT_Market,\n            Order.Close: self.store.vcctmod.OT_Market,\n            Order.Limit: self.store.vcctmod.OT_Limit,\n            Order.Stop: self.store.vcctmod.OT_StopMarket,\n            Order.StopLimit: self.store.vcctmod.OT_StopLimit,\n        }\n\n        self._osides = {\n            Order.Buy: self.store.vcctmod.OS_Buy,\n            Order.Sell: self.store.vcctmod.OS_Sell,\n        }\n\n        self._otrestriction = {\n            Order.T_None: self.store.vcctmod.TR_NoRestriction,\n            Order.T_Date: self.store.vcctmod.TR_Date,\n            Order.T_Close: self.store.vcctmod.TR_CloseAuction,\n            Order.T_Day: self.store.vcctmod.TR_Session,\n        }\n\n        self._ovrestriction = {\n            Order.V_None: self.store.vcctmod.VR_NoRestriction,\n        }\n\n        self._futlikes = (\n            self.store.vcdsmod.IT_Future, self.store.vcdsmod.IT_Option,\n            self.store.vcdsmod.IT_Fund,\n        )\n\n    def start(self):\n        super(VCBroker, self).start()\n        self.store.start(broker=self)\n\n    def stop(self):\n        super(VCBroker, self).stop()\n        self.store.stop()\n\n    def getcash(self):\n        # This call cannot block if no answer is available from ib\n        return self.cash\n\n    def getvalue(self, datas=None):\n        return self.value\n\n    def get_notification(self):\n        return self.notifs.popleft()  # at leat a None is present\n\n    def notify(self, order):\n        self.notifs.append(order.clone())\n\n    def next(self):\n        self.notifs.append(None)  # mark notificatino boundary\n\n    def getposition(self, data, clone=True):\n        with self._lock_pos:\n            pos = self.positions[data._tradename]\n            if clone:\n                return pos.clone()\n\n        return pos\n\n    def getcommissioninfo(self, data):\n        if data._tradename in self.comminfo:\n            return self.comminfo[data._tradename]\n\n        comminfo = self.comminfo[None]\n        if comminfo is not None:\n            return comminfo\n\n        stocklike = data._syminfo.Type in self._futlikes\n\n        return VCCommInfo(mult=data._syminfo.PointValue, stocklike=stocklike)\n\n    def _makeorder(self, ordtype, owner, data,\n                   size, price=None, plimit=None,\n                   exectype=None, valid=None,\n                   tradeid=0, **kwargs):\n\n        order = self.store.vcctmod.Order()\n        order.Account = self._acc_name\n        order.SymbolCode = data._tradename\n        order.OrderType = self._otypes[exectype]\n        order.OrderSide = self._osides[ordtype]\n\n        order.VolumeRestriction = self._ovrestriction[Order.V_None]\n        order.HideVolume = 0\n        order.MinVolume = 0\n\n        # order.UserName = 'danjrod'  # str(tradeid)\n        # order.OrderId = 'a' * 50  # str(tradeid)\n        order.UserOrderId = ''\n        if tradeid:\n            order.ExtendedInfo = 'TradeId {}'.format(tradeid)\n        else:\n            order.ExtendedInfo = ''\n\n        order.Volume = abs(size)\n\n        order.StopPrice = 0.0\n        order.Price = 0.0\n        if exectype == Order.Market:\n            pass\n        elif exectype == Order.Limit:\n            order.Price = price or plimit  # cover naming confusion cases\n        elif exectype == Order.Close:\n            pass\n        elif exectype == Order.Stop:\n            order.StopPrice = price\n        elif exectype == Order.StopLimit:\n            order.StopPrice = price\n            order.Price = plimit\n\n        order.ValidDate = None\n        if exectype == Order.Close:\n            order.TimeRestriction = self._otrestriction[Order.T_Close]\n        else:\n            if valid is None:\n                order.TimeRestriction = self._otrestriction[Order.T_None]\n            elif isinstance(valid, (datetime, date)):\n                order.TimeRestriction = self._otrestriction[Order.T_Date]\n                order.ValidDate = valid\n            elif isinstance(valid, (timedelta,)):\n                if valid == Order.DAY:\n                    order.TimeRestriction = self._otrestriction[Order.T_Day]\n                else:\n                    order.TimeRestriction = self._otrestriction[Order.T_Date]\n                    order.ValidDate = datetime.now() + valid\n\n            elif not self.valid:  # DAY\n                order.TimeRestriction = self._otrestriction[Order.T_Day]\n\n        # Support for custom user arguments\n        for k in kwargs:\n            if hasattr(order, k):\n                setattr(order, k, kwargs[k])\n\n        return order\n\n    def submit(self, order, vcorder):\n        order.submit(self)\n\n        vco = vcorder\n        oid = self.store.vcct.SendOrder(\n            vco.Account, vco.SymbolCode,\n            vco.OrderType, vco.OrderSide, vco.Volume, vco.Price, vco.StopPrice,\n            vco.VolumeRestriction, vco.TimeRestriction,\n            ValidDate=vco.ValidDate\n        )\n\n        order.vcorder = oid\n        order.addcomminfo(self.getcommissioninfo(order.data))\n\n        with self._lock_orders:\n            self.orderbyid[oid] = order\n        self.notify(order)\n        return order\n\n    def buy(self, owner, data,\n            size, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0,\n            **kwargs):\n\n        order = BuyOrder(owner=owner, data=data,\n                         size=size, price=price, pricelimit=plimit,\n                         exectype=exectype, valid=valid, tradeid=tradeid)\n\n        order.addinfo(**kwargs)\n\n        vcorder = self._makeorder(order.ordtype, owner, data, size, price,\n                                  plimit, exectype, valid, tradeid,\n                                  **kwargs)\n\n        return self.submit(order, vcorder)\n\n    def sell(self, owner, data,\n             size, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0,\n             **kwargs):\n\n        order = SellOrder(owner=owner, data=data,\n                          size=size, price=price, pricelimit=plimit,\n                          exectype=exectype, valid=valid, tradeid=tradeid)\n\n        order.addinfo(**kwargs)\n\n        vcorder = self._makeorder(order.ordtype, owner, data, size, price,\n                                  plimit, exectype, valid, tradeid,\n                                  **kwargs)\n\n        return self.submit(order, vcorder)\n\n    #\n    # COM Events implementation\n    #\n    def __call__(self, trader):\n        # Called to start the process, call in sub-thread. only the passed\n        # trader can be used in the thread\n        self.trader = trader\n\n        for acc in trader.Accounts:\n            if self.p.account is None or self.p.account == acc.Account:\n                self.startingcash = self.cash = acc.Balance.Cash\n                self.startingvalue = self.value = acc.Balance.NetWorth\n                self._acc_name = acc.Account\n                break  # found the account\n\n        return self\n\n    def OnChangedBalance(self, Account):\n        if self._acc_name is None or self._acc_name != Account:\n            return  # skip notifs for other accounts\n\n        for acc in self.trader.Accounts:\n            if acc.Account == Account:\n                # Update store values\n                self.cash = acc.Balance.Cash\n                self.value = acc.Balance.NetWorth\n                break\n\n    def OnModifiedOrder(self, Order):\n        # We are not expecting this: unless backtrader starts implementing\n        # modify order method\n        pass\n\n    def OnCancelledOrder(self, Order):\n        with self._lock_orders:\n            try:\n                border = self.orderbyid[Order.OrderId]\n            except KeyError:\n                return  # possibly external order\n\n        border.cancel()\n        self.notify(border)\n\n    def OnTotalExecutedOrder(self, Order):\n        self.OnExecutedOrder(Order, partial=False)\n\n    def OnPartialExecutedOrder(self, Order):\n        self.OnExecutedOrder(Order, partial=True)\n\n    def OnExecutedOrder(self, Order, partial):\n        with self._lock_orders:\n            try:\n                border = self.orderbyid[Order.OrderId]\n            except KeyError:\n                return  # possibly external order\n\n        price = Order.Price\n        size = Order.Volume\n        if border.issell():\n            size *= -1\n\n        # Find position and do a real update - accounting happens here\n        position = self.getposition(border.data, clone=False)\n        pprice_orig = position.price\n        psize, pprice, opened, closed = position.update(size, price)\n\n        comminfo = border.comminfo\n        closedvalue = comminfo.getoperationcost(closed, pprice_orig)\n        closedcomm = comminfo.getcommission(closed, price)\n\n        openedvalue = comminfo.getoperationcost(opened, price)\n        openedcomm = comminfo.getcommission(opened, price)\n\n        pnl = comminfo.profitandloss(-closed, pprice_orig, price)\n        margin = comminfo.getvaluesize(size, price)\n\n        # NOTE: No commission information available in the Trader interface\n        # CHECK: Use reported time instead of last data time?\n        border.execute(border.data.datetime[0],\n                       size, price,\n                       closed, closedvalue, closedcomm,\n                       opened, openedvalue, openedcomm,\n                       margin, pnl,\n                       psize, pprice)  # pnl\n\n        if partial:\n            border.partial()\n        else:\n            border.completed()\n\n        self.notify(border)\n\n    def OnOrderInMarket(self, Order):\n        # Other is in ther market ... therefore \"accepted\"\n        with self._lock_orders:\n            try:\n                border = self.orderbyid[Order.OrderId]\n            except KeyError:\n                return  # possibly external order\n\n        border.accept()\n        self.notify(border)\n\n    def OnNewOrderLocation(self, Order):\n        # Can be used for \"submitted\", but the status is set manually\n        pass\n\n    def OnChangedOpenPositions(self, Account):\n        # This would be useful if it reported a position moving back to 0. In\n        # this case the report contains a no-position and this doesn't help in\n        # the accounting. That's why the accounting is delegated to the\n        # reception of order execution\n        pass\n\n    def OnNewClosedOperations(self, Account):\n        # This call-back has not been seen\n        pass\n\n    def OnServerShutDown(self):\n        pass\n\n    def OnInternalEvent(self, p1, p2, p3):\n        pass\n"
  },
  {
    "path": "backtrader/btrun/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom .btrun import btrun\n"
  },
  {
    "path": "backtrader/btrun/btrun.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport inspect\nimport itertools\nimport random\nimport string\nimport sys\n\nimport backtrader as bt\n\n\nDATAFORMATS = dict(\n    btcsv=bt.feeds.BacktraderCSVData,\n    vchartcsv=bt.feeds.VChartCSVData,\n    vcfile=bt.feeds.VChartFile,\n    sierracsv=bt.feeds.SierraChartCSVData,\n    mt4csv=bt.feeds.MT4CSVData,\n    yahoocsv=bt.feeds.YahooFinanceCSVData,\n    yahoocsv_unreversed=bt.feeds.YahooFinanceCSVData,\n    yahoo=bt.feeds.YahooFinanceData,\n)\n\ntry:\n    DATAFORMATS['vcdata'] = bt.feeds.VCData\nexcept AttributeError:\n    pass  # no comtypes available\n\ntry:\n    DATAFORMATS['ibdata'] = bt.feeds.IBData,\nexcept AttributeError:\n    pass  # no ibpy available\n\ntry:\n    DATAFORMATS['oandadata'] = bt.feeds.OandaData,\nexcept AttributeError:\n    pass  # no oandapy available\n\n\nTIMEFRAMES = dict(\n    microseconds=bt.TimeFrame.MicroSeconds,\n    seconds=bt.TimeFrame.Seconds,\n    minutes=bt.TimeFrame.Minutes,\n    days=bt.TimeFrame.Days,\n    weeks=bt.TimeFrame.Weeks,\n    months=bt.TimeFrame.Months,\n    years=bt.TimeFrame.Years,\n)\n\n\ndef btrun(pargs=''):\n    args = parse_args(pargs)\n\n    if args.flush:\n        import backtrader.utils.flushfile\n\n    stdstats = not args.nostdstats\n\n    cer_kwargs_str = args.cerebro\n    cer_kwargs = eval('dict(' + cer_kwargs_str + ')')\n    if 'stdstats' not in cer_kwargs:\n        cer_kwargs.update(stdstats=stdstats)\n\n    cerebro = bt.Cerebro(**cer_kwargs)\n\n    if args.resample is not None or args.replay is not None:\n        if args.resample is not None:\n            tfcp = args.resample.split(':')\n        elif args.replay is not None:\n            tfcp = args.replay.split(':')\n\n        # compression may be skipped and it will default to 1\n        if len(tfcp) == 1 or tfcp[1] == '':\n            tf, cp = tfcp[0], 1\n        else:\n            tf, cp = tfcp\n\n        cp = int(cp)  # convert any value to int\n        tf = TIMEFRAMES.get(tf, None)\n\n    for data in getdatas(args):\n        if args.resample is not None:\n            cerebro.resampledata(data, timeframe=tf, compression=cp)\n        elif args.replay is not None:\n            cerebro.replaydata(data, timeframe=tf, compression=cp)\n        else:\n            cerebro.adddata(data)\n\n    # get and add signals\n    signals = getobjects(args.signals, bt.Indicator, bt.signals, issignal=True)\n    for sig, kwargs, sigtype in signals:\n        stype = getattr(bt.signal, 'SIGNAL_' + sigtype.upper())\n        cerebro.add_signal(stype, sig, **kwargs)\n\n    # get and add strategies\n    strategies = getobjects(args.strategies, bt.Strategy, bt.strategies)\n    for strat, kwargs in strategies:\n        cerebro.addstrategy(strat, **kwargs)\n\n    inds = getobjects(args.indicators, bt.Indicator, bt.indicators)\n    for ind, kwargs in inds:\n        cerebro.addindicator(ind, **kwargs)\n\n    obs = getobjects(args.observers, bt.Observer, bt.observers)\n    for ob, kwargs in obs:\n        cerebro.addobserver(ob, **kwargs)\n\n    ans = getobjects(args.analyzers, bt.Analyzer, bt.analyzers)\n    for an, kwargs in ans:\n        cerebro.addanalyzer(an, **kwargs)\n\n    setbroker(args, cerebro)\n\n    for wrkwargs_str in args.writers or []:\n        wrkwargs = eval('dict(' + wrkwargs_str + ')')\n        cerebro.addwriter(bt.WriterFile, **wrkwargs)\n\n    ans = getfunctions(args.hooks, bt.Cerebro)\n    for hook, kwargs in ans:\n        hook(cerebro, **kwargs)\n    runsts = cerebro.run()\n    runst = runsts[0]  # single strategy and no optimization\n\n    if args.pranalyzer or args.ppranalyzer:\n        if runst.analyzers:\n            print('====================')\n            print('== Analyzers')\n            print('====================')\n            for name, analyzer in runst.analyzers.getitems():\n                if args.pranalyzer:\n                    analyzer.print()\n                elif args.ppranalyzer:\n                    print('##########')\n                    print(name)\n                    print('##########')\n                    analyzer.pprint()\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:\n            # evaluates to True but is not \"True\" - args were passed\n            ekwargs = eval('dict(' + args.plot + ')')\n            pkwargs.update(ekwargs)\n\n        # cerebro.plot(numfigs=args.plotfigs, style=args.plotstyle)\n        cerebro.plot(**pkwargs)\n\n\ndef setbroker(args, cerebro):\n    broker = cerebro.getbroker()\n\n    if args.cash is not None:\n        broker.setcash(args.cash)\n\n    commkwargs = dict()\n    if args.commission is not None:\n        commkwargs['commission'] = args.commission\n    if args.margin is not None:\n        commkwargs['margin'] = args.margin\n    if args.mult is not None:\n        commkwargs['mult'] = args.mult\n    if args.interest is not None:\n        commkwargs['interest'] = args.interest\n    if args.interest_long is not None:\n        commkwargs['interest_long'] = args.interest_long\n\n    if commkwargs:\n        broker.setcommission(**commkwargs)\n\n    if args.slip_perc is not None:\n        cerebro.broker.set_slippage_perc(args.slip_perc,\n                                         slip_open=args.slip_open,\n                                         slip_match=not args.no_slip_match,\n                                         slip_out=args.slip_out)\n    elif args.slip_fixed is not None:\n        cerebro.broker.set_slippage_fixed(args.slip_fixed,\n                                          slip_open=args.slip_open,\n                                          slip_match=not args.no_slip_match,\n                                          slip_out=args.slip_out)\n\n\ndef getdatas(args):\n    # Get the data feed class from the global dictionary\n    dfcls = DATAFORMATS[args.format]\n\n    # Prepare some args\n    dfkwargs = dict()\n    if args.format == 'yahoo_unreversed':\n        dfkwargs['reverse'] = True\n\n    fmtstr = '%Y-%m-%d'\n    if args.fromdate:\n        dtsplit = args.fromdate.split('T')\n        if len(dtsplit) > 1:\n            fmtstr += 'T%H:%M:%S'\n\n        fromdate = datetime.datetime.strptime(args.fromdate, fmtstr)\n        dfkwargs['fromdate'] = fromdate\n\n    fmtstr = '%Y-%m-%d'\n    if args.todate:\n        dtsplit = args.todate.split('T')\n        if len(dtsplit) > 1:\n            fmtstr += 'T%H:%M:%S'\n        todate = datetime.datetime.strptime(args.todate, fmtstr)\n        dfkwargs['todate'] = todate\n\n    if args.timeframe is not None:\n        dfkwargs['timeframe'] = TIMEFRAMES[args.timeframe]\n\n    if args.compression is not None:\n        dfkwargs['compression'] = args.compression\n\n    datas = list()\n    for dname in args.data:\n        dfkwargs['dataname'] = dname\n        data = dfcls(**dfkwargs)\n        datas.append(data)\n\n    return datas\n\n\ndef getmodclasses(mod, clstype, clsname=None):\n    clsmembers = inspect.getmembers(mod, inspect.isclass)\n\n    clslist = list()\n    for name, cls in clsmembers:\n        if not issubclass(cls, clstype):\n            continue\n\n        if clsname:\n            if clsname == name:\n                clslist.append(cls)\n                break\n        else:\n            clslist.append(cls)\n\n    return clslist\n\n\ndef getmodfunctions(mod, funcname=None):\n    members = inspect.getmembers(mod, inspect.isfunction) + \\\n        inspect.getmembers(mod, inspect.ismethod)\n\n    funclist = list()\n    for name, member in members:\n        if funcname:\n            if name == funcname:\n                funclist.append(member)\n                break\n        else:\n            funclist.append(member)\n\n    return funclist\n\n\ndef loadmodule(modpath, modname=''):\n    # generate a random name for the module\n\n    if not modpath.endswith('.py'):\n        modpath += '.py'\n\n    if not modname:\n        chars = string.ascii_uppercase + string.digits\n        modname = ''.join(random.choice(chars) for _ in range(10))\n\n    version = (sys.version_info[0], sys.version_info[1])\n\n    if version < (3, 3):\n        mod, e = loadmodule2(modpath, modname)\n    else:\n        mod, e = loadmodule3(modpath, modname)\n\n    return mod, e\n\n\ndef loadmodule2(modpath, modname):\n    import imp\n\n    try:\n        mod = imp.load_source(modname, modpath)\n    except Exception as e:\n        return (None, e)\n\n    return (mod, None)\n\n\ndef loadmodule3(modpath, modname):\n    import importlib.machinery\n\n    try:\n        loader = importlib.machinery.SourceFileLoader(modname, modpath)\n        mod = loader.load_module()\n    except Exception as e:\n        return (None, e)\n\n    return (mod, None)\n\n\ndef getobjects(iterable, clsbase, modbase, issignal=False):\n    retobjects = list()\n\n    for item in iterable or []:\n        if issignal:\n            sigtokens = item.split('+', 1)\n            if len(sigtokens) == 1:  # no + seen\n                sigtype = 'longshort'\n            else:\n                sigtype, item = sigtokens\n\n        tokens = item.split(':', 1)\n\n        if len(tokens) == 1:\n            modpath = tokens[0]\n            name = ''\n            kwargs = dict()\n        else:\n            modpath, name = tokens\n            kwtokens = name.split(':', 1)\n            if len(kwtokens) == 1:\n                # no '(' found\n                kwargs = dict()\n            else:\n                name = kwtokens[0]\n                kwtext = 'dict(' + kwtokens[1] + ')'\n                kwargs = eval(kwtext)\n\n        if modpath:\n            mod, e = loadmodule(modpath)\n\n            if not mod:\n                print('')\n                print('Failed to load module %s:' % modpath, e)\n                sys.exit(1)\n        else:\n            mod = modbase\n\n        loaded = getmodclasses(mod=mod, clstype=clsbase, clsname=name)\n\n        if not loaded:\n            print('No class %s / module %s' % (str(name), modpath))\n            sys.exit(1)\n\n        if issignal:\n            retobjects.append((loaded[0], kwargs, sigtype))\n        else:\n            retobjects.append((loaded[0], kwargs))\n\n    return retobjects\n\ndef getfunctions(iterable, modbase):\n    retfunctions = list()\n\n    for item in iterable or []:\n        tokens = item.split(':', 1)\n\n        if len(tokens) == 1:\n            modpath = tokens[0]\n            name = ''\n            kwargs = dict()\n        else:\n            modpath, name = tokens\n            kwtokens = name.split(':', 1)\n            if len(kwtokens) == 1:\n                # no '(' found\n                kwargs = dict()\n            else:\n                name = kwtokens[0]\n                kwtext = 'dict(' + kwtokens[1] + ')'\n                kwargs = eval(kwtext)\n\n        if modpath:\n            mod, e = loadmodule(modpath)\n\n            if not mod:\n                print('')\n                print('Failed to load module %s:' % modpath, e)\n                sys.exit(1)\n        else:\n            mod = modbase\n\n        loaded = getmodfunctions(mod=mod, funcname=name)\n\n        if not loaded:\n            print('No function %s / module %s' % (str(name), modpath))\n            sys.exit(1)\n\n        retfunctions.append((loaded[0], kwargs))\n\n    return retfunctions\n\n\ndef parse_args(pargs=''):\n    parser = argparse.ArgumentParser(\n        description='Backtrader Run Script',\n        formatter_class=argparse.RawTextHelpFormatter,\n    )\n\n    group = parser.add_argument_group(title='Data options')\n    # Data options\n    group.add_argument('--data', '-d', action='append', required=True,\n                       help='Data files to be added to the system')\n\n    group = parser.add_argument_group(title='Cerebro options')\n    group.add_argument(\n        '--cerebro', '-cer',\n        metavar='kwargs',\n        required=False, const='', default='', nargs='?',\n        help=('The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - kwargs\\n'\n              '\\n'\n              '    Example: \"preload=True\" which set its to True\\n'\n              '\\n'\n              'The passed kwargs will be passed directly to the cerebro\\n'\n              'instance created for the execution\\n'\n              '\\n'\n              'The available kwargs to cerebro are:\\n'\n              '  - preload (default: True)\\n'\n              '  - runonce (default: True)\\n'\n              '  - maxcpus (default: None)\\n'\n              '  - stdstats (default: True)\\n'\n              '  - live (default: False)\\n'\n              '  - exactbars (default: False)\\n'\n              '  - preload (default: True)\\n'\n              '  - writer (default False)\\n'\n              '  - oldbuysell (default False)\\n'\n              '  - tradehistory (default False)\\n')\n    )\n\n    group.add_argument('--nostdstats', action='store_true',\n                       help='Disable the standard statistics observers')\n\n    datakeys = list(DATAFORMATS)\n    group.add_argument('--format', '--csvformat', '-c', required=False,\n                       default='btcsv', choices=datakeys,\n                       help='CSV Format')\n\n    group.add_argument('--fromdate', '-f', required=False, default=None,\n                       help='Starting date in YYYY-MM-DD[THH:MM:SS] format')\n\n    group.add_argument('--todate', '-t', required=False, default=None,\n                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')\n\n    group.add_argument('--timeframe', '-tf', required=False, default='days',\n                       choices=TIMEFRAMES.keys(),\n                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')\n\n    group.add_argument('--compression', '-cp', required=False, default=1,\n                       type=int,\n                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')\n\n    group = parser.add_mutually_exclusive_group(required=False)\n\n    group.add_argument('--resample', '-rs', required=False, default=None,\n                       help='resample with timeframe:compression values')\n\n    group.add_argument('--replay', '-rp', required=False, default=None,\n                       help='replay with timeframe:compression values')\n\n    group.add_argument(\n        '--hook', dest='hooks',\n        action='append', required=False,\n        metavar='module:hookfunction:kwargs',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - module:hookfunction:kwargs\\n'\n              '\\n'\n              '    Example: mymod:myhook:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'If module is omitted then hookfunction will be sought\\n'\n              'as the built-in cerebro method. Example:\\n'\n              '\\n'\n              '  - :addtz:tz=America/St_Johns\\n'\n              '\\n'\n              'If name is omitted, then the 1st function found in the\\n'\n              'mod will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module::kwargs\\n'\n              '\\n'\n              'The function specified will be called, with cerebro\\n'\n              'instance passed as the first argument together with\\n'\n              'kwargs, if any were specified. This allows to customize\\n'\n              'cerebro, beyond options provided by this script\\n\\n')\n    )\n\n    # Module where to read the strategy from\n    group = parser.add_argument_group(title='Strategy options')\n    group.add_argument(\n        '--strategy', '-st', dest='strategies',\n        action='append', required=False,\n        metavar='module:name:kwargs',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - module:classname:kwargs\\n'\n              '\\n'\n              '    Example: mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'If module is omitted then class name will be sought in\\n'\n              'the built-in strategies module. Such as in:\\n'\n              '\\n'\n              '  - :name:kwargs or :name\\n'\n              '\\n'\n              'If name is omitted, then the 1st strategy found in the mod\\n'\n              'will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module::kwargs')\n    )\n\n    # Module where to read the strategy from\n    group = parser.add_argument_group(title='Signals')\n    group.add_argument(\n        '--signal', '-sig', dest='signals',\n        action='append', required=False,\n        metavar='module:signaltype:name:kwargs',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - signaltype:module:signaltype:classname:kwargs\\n'\n              '\\n'\n              '    Example: longshort+mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'signaltype may be ommited: longshort will be used\\n'\n              '\\n'\n              '    Example: mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'signaltype will be uppercased to match the defintions\\n'\n              'fromt the backtrader.signal module\\n'\n              '\\n'\n              'If module is omitted then class name will be sought in\\n'\n              'the built-in signals module. Such as in:\\n'\n              '\\n'\n              '  - LONGSHORT::name:kwargs or :name\\n'\n              '\\n'\n              'If name is omitted, then the 1st signal found in the mod\\n'\n              'will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module:::kwargs')\n    )\n\n    # Observers\n    group = parser.add_argument_group(title='Observers and statistics')\n    group.add_argument(\n        '--observer', '-ob', dest='observers',\n        action='append', required=False,\n        metavar='module:name:kwargs',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - module:classname:kwargs\\n'\n              '\\n'\n              '    Example: mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'If module is omitted then class name will be sought in\\n'\n              'the built-in observers module. Such as in:\\n'\n              '\\n'\n              '  - :name:kwargs or :name\\n'\n              '\\n'\n              'If name is omitted, then the 1st observer found in the\\n'\n              'will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module::kwargs')\n    )\n    # Analyzers\n    group = parser.add_argument_group(title='Analyzers')\n    group.add_argument(\n        '--analyzer', '-an', dest='analyzers',\n        action='append', required=False,\n        metavar='module:name:kwargs',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - module:classname:kwargs\\n'\n              '\\n'\n              '    Example: mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'If module is omitted then class name will be sought in\\n'\n              'the built-in analyzers module. Such as in:\\n'\n              '\\n'\n              '  - :name:kwargs or :name\\n'\n              '\\n'\n              'If name is omitted, then the 1st analyzer found in the\\n'\n              'will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module::kwargs')\n    )\n\n    # Analyzer - Print\n    group = parser.add_mutually_exclusive_group(required=False)\n    group.add_argument('--pranalyzer', '-pralyzer',\n                       required=False, action='store_true',\n                       help=('Automatically print analyzers'))\n\n    group.add_argument('--ppranalyzer', '-ppralyzer',\n                       required=False, action='store_true',\n                       help=('Automatically PRETTY print analyzers'))\n\n    # Indicators\n    group = parser.add_argument_group(title='Indicators')\n    group.add_argument(\n        '--indicator', '-ind', dest='indicators',\n        metavar='module:name:kwargs',\n        action='append', required=False,\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - module:classname:kwargs\\n'\n              '\\n'\n              '    Example: mymod:myclass:a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'If module is omitted then class name will be sought in\\n'\n              'the built-in analyzers module. Such as in:\\n'\n              '\\n'\n              '  - :name:kwargs or :name\\n'\n              '\\n'\n              'If name is omitted, then the 1st analyzer found in the\\n'\n              'will be used. Such as in:\\n'\n              '\\n'\n              '  - module or module::kwargs')\n    )\n\n    # Writer\n    group = parser.add_argument_group(title='Writers')\n    group.add_argument(\n        '--writer', '-wr',\n        dest='writers', metavar='kwargs', nargs='?',\n        action='append', required=False, const='',\n        help=('This option can be specified multiple times.\\n'\n              '\\n'\n              'The argument can be specified with the following form:\\n'\n              '\\n'\n              '  - kwargs\\n'\n              '\\n'\n              '    Example: a=1,b=2\\n'\n              '\\n'\n              'kwargs is optional\\n'\n              '\\n'\n              'It creates a system wide writer which outputs run data\\n'\n              '\\n'\n              'Please see the documentation for the available kwargs')\n    )\n\n    # Broker/Commissions\n    group = parser.add_argument_group(title='Cash and Commission Scheme Args')\n    group.add_argument('--cash', '-cash', required=False, type=float,\n                       help='Cash to set to the broker')\n    group.add_argument('--commission', '-comm', required=False, type=float,\n                       help='Commission value to set')\n    group.add_argument('--margin', '-marg', required=False, type=float,\n                       help='Margin type to set')\n    group.add_argument('--mult', '-mul', required=False, type=float,\n                       help='Multiplier to use')\n\n    group.add_argument('--interest', required=False, type=float,\n                       default=None,\n                       help='Credit Interest rate to apply (0.0x)')\n\n    group.add_argument('--interest_long', action='store_true',\n                       required=False, default=None,\n                       help='Apply credit interest to long positions')\n\n    group.add_argument('--slip_perc', required=False, default=None,\n                       type=float,\n                       help='Enable slippage with a percentage value')\n    group.add_argument('--slip_fixed', required=False, default=None,\n                       type=float,\n                       help='Enable slippage with a fixed point value')\n\n    group.add_argument('--slip_open', required=False, action='store_true',\n                       help='enable slippage for when matching opening prices')\n\n    group.add_argument('--no-slip_match', required=False, action='store_true',\n                       help=('Disable slip_match, ie: matching capped at \\n'\n                             'high-low if slippage goes over those limits'))\n    group.add_argument('--slip_out', required=False, action='store_true',\n                       help='with slip_match enabled, match outside high-low')\n\n    # Output flushing\n    group.add_argument('--flush', required=False, action='store_true',\n                       help='flush the output - useful under win32 systems')\n\n    # Plot options\n    parser.add_argument(\n        '--plot', '-p', nargs='?',\n        metavar='kwargs',\n        default=False, const=True, required=False,\n        help=('Plot the read data applying any kwargs passed\\n'\n              '\\n'\n              'For example:\\n'\n              '\\n'\n              '  --plot style=\"candle\" (to plot candlesticks)\\n')\n    )\n\n    if pargs:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    btrun()\n"
  },
  {
    "path": "backtrader/cerebro.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\nimport collections\nimport itertools\nimport multiprocessing\n\ntry:  # For new Python versions\n    collectionsAbc = collections.abc  # collections.Iterable -> collections.abc.Iterable\nexcept AttributeError:  # For old Python versions\n    collectionsAbc = collections  # Используем collections.Iterable\n\nimport backtrader as bt\nfrom .utils.py3 import (map, range, zip, with_metaclass, string_types,\n                        integer_types)\n\nfrom . import linebuffer\nfrom . import indicator\nfrom .brokers import BackBroker\nfrom .metabase import MetaParams\nfrom . import observers\nfrom .writer import WriterFile\nfrom .utils import OrderedDict, tzparse, num2date, date2num\nfrom .strategy import Strategy, SignalStrategy\nfrom .tradingcal import (TradingCalendarBase, TradingCalendar,\n                         PandasMarketCalendar)\nfrom .timer import Timer\n\n# Defined here to make it pickable. Ideally it could be defined inside Cerebro\n\n\nclass OptReturn(object):\n    def __init__(self, params, **kwargs):\n        self.p = self.params = params\n        for k, v in kwargs.items():\n            setattr(self, k, v)\n\n\nclass Cerebro(with_metaclass(MetaParams, object)):\n    '''Params:\n\n      - ``preload`` (default: ``True``)\n\n        Whether to preload the different ``data feeds`` passed to cerebro for\n        the Strategies\n\n      - ``runonce`` (default: ``True``)\n\n        Run ``Indicators`` in vectorized mode to speed up the entire system.\n        Strategies and Observers will always be run on an event based basis\n\n      - ``live`` (default: ``False``)\n\n        If no data has reported itself as *live* (via the data's ``islive``\n        method but the end user still want to run in ``live`` mode, this\n        parameter can be set to true\n\n        This will simultaneously deactivate ``preload`` and ``runonce``. It\n        will have no effect on memory saving schemes.\n\n        Run ``Indicators`` in vectorized mode to speed up the entire system.\n        Strategies and Observers will always be run on an event based basis\n\n      - ``maxcpus`` (default: None -> all available cores)\n\n         How many cores to use simultaneously for optimization\n\n      - ``stdstats`` (default: ``True``)\n\n        If True default Observers will be added: Broker (Cash and Value),\n        Trades and BuySell\n\n      - ``oldbuysell`` (default: ``False``)\n\n        If ``stdstats`` is ``True`` and observers are getting automatically\n        added, this switch controls the main behavior of the ``BuySell``\n        observer\n\n        - ``False``: use the modern behavior in which the buy / sell signals\n          are plotted below / above the low / high prices respectively to avoid\n          cluttering the plot\n\n        - ``True``: use the deprecated behavior in which the buy / sell signals\n          are plotted where the average price of the order executions for the\n          given moment in time is. This will of course be on top of an OHLC bar\n          or on a Line on Cloe bar, difficulting the recognition of the plot.\n\n      - ``oldtrades`` (default: ``False``)\n\n        If ``stdstats`` is ``True`` and observers are getting automatically\n        added, this switch controls the main behavior of the ``Trades``\n        observer\n\n        - ``False``: use the modern behavior in which trades for all datas are\n          plotted with different markers\n\n        - ``True``: use the old Trades observer which plots the trades with the\n          same markers, differentiating only if they are positive or negative\n\n      - ``exactbars`` (default: ``False``)\n\n        With the default value each and every value stored in a line is kept in\n        memory\n\n        Possible values:\n          - ``True`` or ``1``: all \"lines\" objects reduce memory usage to the\n            automatically calculated minimum period.\n\n            If a Simple Moving Average has a period of 30, the underlying data\n            will have always a running buffer of 30 bars to allow the\n            calculation of the Simple Moving Average\n\n            - This setting will deactivate ``preload`` and ``runonce``\n            - Using this setting also deactivates **plotting**\n\n          - ``-1``: datafreeds and indicators/operations at strategy level will\n            keep all data in memory.\n\n            For example: a ``RSI`` internally uses the indicator ``UpDay`` to\n            make calculations. This subindicator will not keep all data in\n            memory\n\n            - This allows to keep ``plotting`` and ``preloading`` active.\n\n            - ``runonce`` will be deactivated\n\n          - ``-2``: data feeds and indicators kept as attributes of the\n            strategy will keep all points in memory.\n\n            For example: a ``RSI`` internally uses the indicator ``UpDay`` to\n            make calculations. This subindicator will not keep all data in\n            memory\n\n            If in the ``__init__`` something like\n            ``a = self.data.close - self.data.high`` is defined, then ``a``\n            will not keep all data in memory\n\n            - This allows to keep ``plotting`` and ``preloading`` active.\n\n            - ``runonce`` will be deactivated\n\n      - ``objcache`` (default: ``False``)\n\n        Experimental option to implement a cache of lines objects and reduce\n        the amount of them. Example from UltimateOscillator::\n\n          bp = self.data.close - TrueLow(self.data)\n          tr = TrueRange(self.data)  # -> creates another TrueLow(self.data)\n\n        If this is ``True`` the 2nd ``TrueLow(self.data)`` inside ``TrueRange``\n        matches the signature of the one in the ``bp`` calculation. It will be\n        reused.\n\n        Corner cases may happen in which this drives a line object off its\n        minimum period and breaks things and it is therefore disabled.\n\n      - ``writer`` (default: ``False``)\n\n        If set to ``True`` a default WriterFile will be created which will\n        print to stdout. It will be added to the strategy (in addition to any\n        other writers added by the user code)\n\n      - ``tradehistory`` (default: ``False``)\n\n        If set to ``True``, it will activate update event logging in each trade\n        for all strategies. This can also be accomplished on a per strategy\n        basis with the strategy method ``set_tradehistory``\n\n      - ``optdatas`` (default: ``True``)\n\n        If ``True`` and optimizing (and the system can ``preload`` and use\n        ``runonce``, data preloading will be done only once in the main process\n        to save time and resources.\n\n        The tests show an approximate ``20%`` speed-up moving from a sample\n        execution in ``83`` seconds to ``66``\n\n      - ``optreturn`` (default: ``True``)\n\n        If ``True`` the optimization results will not be full ``Strategy``\n        objects (and all *datas*, *indicators*, *observers* ...) but and object\n        with the following attributes (same as in ``Strategy``):\n\n          - ``params`` (or ``p``) the strategy had for the execution\n          - ``analyzers`` the strategy has executed\n\n        In most occassions, only the *analyzers* and with which *params* are\n        the things needed to evaluate a the performance of a strategy. If\n        detailed analysis of the generated values for (for example)\n        *indicators* is needed, turn this off\n\n        The tests show a ``13% - 15%`` improvement in execution time. Combined\n        with ``optdatas`` the total gain increases to a total speed-up of\n        ``32%`` in an optimization run.\n\n      - ``oldsync`` (default: ``False``)\n\n        Starting with release 1.9.0.99 the synchronization of multiple datas\n        (same or different timeframes) has been changed to allow datas of\n        different lengths.\n\n        If the old behavior with data0 as the master of the system is wished,\n        set this parameter to true\n\n      - ``tz`` (default: ``None``)\n\n        Adds a global timezone for strategies. The argument ``tz`` can be\n\n          - ``None``: in this case the datetime displayed by strategies will be\n            in UTC, which has been always the standard behavior\n\n          - ``pytz`` instance. It will be used as such to convert UTC times to\n            the chosen timezone\n\n          - ``string``. Instantiating a ``pytz`` instance will be attempted.\n\n          - ``integer``. Use, for the strategy, the same timezone as the\n            corresponding ``data`` in the ``self.datas`` iterable (``0`` would\n            use the timezone from ``data0``)\n\n      - ``cheat_on_open`` (default: ``False``)\n\n        The ``next_open`` method of strategies will be called. This happens\n        before ``next`` and before the broker has had a chance to evaluate\n        orders. The indicators have not yet been recalculated. This allows\n        issuing an orde which takes into account the indicators of the previous\n        day but uses the ``open`` price for stake calculations\n\n        For cheat_on_open order execution, it is also necessary to make the\n        call ``cerebro.broker.set_coo(True)`` or instantite a broker with\n        ``BackBroker(coo=True)`` (where *coo* stands for cheat-on-open) or set\n        the ``broker_coo`` parameter to ``True``. Cerebro will do it\n        automatically unless disabled below.\n\n      - ``broker_coo`` (default: ``True``)\n\n        This will automatically invoke the ``set_coo`` method of the broker\n        with ``True`` to activate ``cheat_on_open`` execution. Will only do it\n        if ``cheat_on_open`` is also ``True``\n\n      - ``quicknotify`` (default: ``False``)\n\n        Broker notifications are delivered right before the delivery of the\n        *next* prices. For backtesting this has no implications, but with live\n        brokers a notification can take place long before the bar is\n        delivered. When set to ``True`` notifications will be delivered as soon\n        as possible (see ``qcheck`` in live feeds)\n\n        Set to ``False`` for compatibility. May be changed to ``True``\n\n    '''\n\n    params = (\n        ('preload', True),\n        ('runonce', True),\n        ('maxcpus', None),\n        ('stdstats', True),\n        ('oldbuysell', False),\n        ('oldtrades', False),\n        ('lookahead', 0),\n        ('exactbars', False),\n        ('optdatas', True),\n        ('optreturn', True),\n        ('objcache', False),\n        ('live', False),\n        ('writer', False),\n        ('tradehistory', False),\n        ('oldsync', False),\n        ('tz', None),\n        ('cheat_on_open', False),\n        ('broker_coo', True),\n        ('quicknotify', False),\n    )\n\n    def __init__(self):\n        self._dolive = False\n        self._doreplay = False\n        self._dooptimize = False\n        self.stores = list()\n        self.feeds = list()\n        self.datas = list()\n        self.datasbyname = collections.OrderedDict()\n        self.strats = list()\n        self.optcbs = list()  # holds a list of callbacks for opt strategies\n        self.observers = list()\n        self.analyzers = list()\n        self.indicators = list()\n        self.sizers = dict()\n        self.writers = list()\n        self.storecbs = list()\n        self.datacbs = list()\n        self.signals = list()\n        self._signal_strat = (None, None, None)\n        self._signal_concurrent = False\n        self._signal_accumulate = False\n\n        self._dataid = itertools.count(1)\n\n        self._broker = BackBroker()\n        self._broker.cerebro = self\n\n        self._tradingcal = None  # TradingCalendar()\n\n        self._pretimers = list()\n        self._ohistory = list()\n        self._fhistory = None\n\n    @staticmethod\n    def iterize(iterable):\n        '''Handy function which turns things into things that can be iterated upon\n        including iterables\n        '''\n        niterable = list()\n        for elem in iterable:\n            if isinstance(elem, string_types):\n                elem = (elem,)\n            elif not isinstance(elem, collectionsAbc.Iterable):  # Different functions will be called for different Python versions\n                elem = (elem,)\n\n            niterable.append(elem)\n\n        return niterable\n\n    def set_fund_history(self, fund):\n        '''\n        Add a history of orders to be directly executed in the broker for\n        performance evaluation\n\n          - ``fund``: is an iterable (ex: list, tuple, iterator, generator)\n            in which each element will be also an iterable (with length) with\n            the following sub-elements (2 formats are possible)\n\n            ``[datetime, share_value, net asset value]``\n\n            **Note**: it must be sorted (or produce sorted elements) by\n              datetime ascending\n\n            where:\n\n              - ``datetime`` is a python ``date/datetime`` instance or a string\n                with format YYYY-MM-DD[THH:MM:SS[.us]] where the elements in\n                brackets are optional\n              - ``share_value`` is an float/integer\n              - ``net_asset_value`` is a float/integer\n        '''\n        self._fhistory = fund\n\n    def add_order_history(self, orders, notify=True):\n        '''\n        Add a history of orders to be directly executed in the broker for\n        performance evaluation\n\n          - ``orders``: is an iterable (ex: list, tuple, iterator, generator)\n            in which each element will be also an iterable (with length) with\n            the following sub-elements (2 formats are possible)\n\n            ``[datetime, size, price]`` or ``[datetime, size, price, data]``\n\n            **Note**: it must be sorted (or produce sorted elements) by\n              datetime ascending\n\n            where:\n\n              - ``datetime`` is a python ``date/datetime`` instance or a string\n                with format YYYY-MM-DD[THH:MM:SS[.us]] where the elements in\n                brackets are optional\n              - ``size`` is an integer (positive to *buy*, negative to *sell*)\n              - ``price`` is a float/integer\n              - ``data`` if present can take any of the following values\n\n                - *None* - The 1st data feed will be used as target\n                - *integer* - The data with that index (insertion order in\n                  **Cerebro**) will be used\n                - *string* - a data with that name, assigned for example with\n                  ``cerebro.addata(data, name=value)``, will be the target\n\n          - ``notify`` (default: *True*)\n\n            If ``True`` the 1st strategy inserted in the system will be\n            notified of the artificial orders created following the information\n            from each order in ``orders``\n\n        **Note**: Implicit in the description is the need to add a data feed\n          which is the target of the orders. This is for example needed by\n          analyzers which track for example the returns\n        '''\n        self._ohistory.append((orders, notify))\n\n    def notify_timer(self, timer, when, *args, **kwargs):\n        '''Receives a timer notification where ``timer`` is the timer which was\n        returned by ``add_timer``, and ``when`` is the calling time. ``args``\n        and ``kwargs`` are any additional arguments passed to ``add_timer``\n\n        The actual ``when`` time can be later, but the system may have not be\n        able to call the timer before. This value is the timer value and no the\n        system time.\n        '''\n        pass\n\n    def _add_timer(self, owner, when,\n                   offset=datetime.timedelta(), repeat=datetime.timedelta(),\n                   weekdays=[], weekcarry=False,\n                   monthdays=[], monthcarry=True,\n                   allow=None,\n                   tzdata=None, strats=False, cheat=False,\n                   *args, **kwargs):\n        '''Internal method to really create the timer (not started yet) which\n        can be called by cerebro instances or other objects which can access\n        cerebro'''\n\n        timer = Timer(\n            tid=len(self._pretimers),\n            owner=owner, strats=strats,\n            when=when, offset=offset, repeat=repeat,\n            weekdays=weekdays, weekcarry=weekcarry,\n            monthdays=monthdays, monthcarry=monthcarry,\n            allow=allow,\n            tzdata=tzdata, cheat=cheat,\n            *args, **kwargs\n        )\n\n        self._pretimers.append(timer)\n        return timer\n\n    def add_timer(self, when,\n                  offset=datetime.timedelta(), repeat=datetime.timedelta(),\n                  weekdays=[], weekcarry=False,\n                  monthdays=[], monthcarry=True,\n                  allow=None,\n                  tzdata=None, strats=False, cheat=False,\n                  *args, **kwargs):\n        '''\n        Schedules a timer to invoke ``notify_timer``\n\n        Arguments:\n\n          - ``when``: can be\n\n            - ``datetime.time`` instance (see below ``tzdata``)\n            - ``bt.timer.SESSION_START`` to reference a session start\n            - ``bt.timer.SESSION_END`` to reference a session end\n\n         - ``offset`` which must be a ``datetime.timedelta`` instance\n\n           Used to offset the value ``when``. It has a meaningful use in\n           combination with ``SESSION_START`` and ``SESSION_END``, to indicated\n           things like a timer being called ``15 minutes`` after the session\n           start.\n\n          - ``repeat`` which must be a ``datetime.timedelta`` instance\n\n            Indicates if after a 1st call, further calls will be scheduled\n            within the same session at the scheduled ``repeat`` delta\n\n            Once the timer goes over the end of the session it is reset to the\n            original value for ``when``\n\n          - ``weekdays``: a **sorted** iterable with integers indicating on\n            which days (iso codes, Monday is 1, Sunday is 7) the timers can\n            be actually invoked\n\n            If not specified, the timer will be active on all days\n\n          - ``weekcarry`` (default: ``False``). If ``True`` and the weekday was\n            not seen (ex: trading holiday), the timer will be executed on the\n            next day (even if in a new week)\n\n          - ``monthdays``: a **sorted** iterable with integers indicating on\n            which days of the month a timer has to be executed. For example\n            always on day *15* of the month\n\n            If not specified, the timer will be active on all days\n\n          - ``monthcarry`` (default: ``True``). If the day was not seen\n            (weekend, trading holiday), the timer will be executed on the next\n            available day.\n\n          - ``allow`` (default: ``None``). A callback which receives a\n            `datetime.date`` instance and returns ``True`` if the date is\n            allowed for timers or else returns ``False``\n\n          - ``tzdata`` which can be either ``None`` (default), a ``pytz``\n            instance or a ``data feed`` instance.\n\n            ``None``: ``when`` is interpreted at face value (which translates\n            to handling it as if it where UTC even if it's not)\n\n            ``pytz`` instance: ``when`` will be interpreted as being specified\n            in the local time specified by the timezone instance.\n\n            ``data feed`` instance: ``when`` will be interpreted as being\n            specified in the local time specified by the ``tz`` parameter of\n            the data feed instance.\n\n            **Note**: If ``when`` is either ``SESSION_START`` or\n              ``SESSION_END`` and ``tzdata`` is ``None``, the 1st *data feed*\n              in the system (aka ``self.data0``) will be used as the reference\n              to find out the session times.\n\n          - ``strats`` (default: ``False``) call also the ``notify_timer`` of\n            strategies\n\n          - ``cheat`` (default ``False``) if ``True`` the timer will be called\n            before the broker has a chance to evaluate the orders. This opens\n            the chance to issue orders based on opening price for example right\n            before the session starts\n          - ``*args``: any extra args will be passed to ``notify_timer``\n\n          - ``**kwargs``: any extra kwargs will be passed to ``notify_timer``\n\n        Return Value:\n\n          - The created timer\n\n        '''\n        return self._add_timer(\n            owner=self, when=when, offset=offset, repeat=repeat,\n            weekdays=weekdays, weekcarry=weekcarry,\n            monthdays=monthdays, monthcarry=monthcarry,\n            allow=allow,\n            tzdata=tzdata, strats=strats, cheat=cheat,\n            *args, **kwargs)\n\n    def addtz(self, tz):\n        '''\n        This can also be done with the parameter ``tz``\n\n        Adds a global timezone for strategies. The argument ``tz`` can be\n\n          - ``None``: in this case the datetime displayed by strategies will be\n            in UTC, which has been always the standard behavior\n\n          - ``pytz`` instance. It will be used as such to convert UTC times to\n            the chosen timezone\n\n          - ``string``. Instantiating a ``pytz`` instance will be attempted.\n\n          - ``integer``. Use, for the strategy, the same timezone as the\n            corresponding ``data`` in the ``self.datas`` iterable (``0`` would\n            use the timezone from ``data0``)\n\n        '''\n        self.p.tz = tz\n\n    def addcalendar(self, cal):\n        '''Adds a global trading calendar to the system. Individual data feeds\n        may have separate calendars which override the global one\n\n        ``cal`` can be an instance of ``TradingCalendar`` a string or an\n        instance of ``pandas_market_calendars``. A string will be will be\n        instantiated as a ``PandasMarketCalendar`` (which needs the module\n        ``pandas_market_calendar`` installed in the system.\n\n        If a subclass of `TradingCalendarBase` is passed (not an instance) it\n        will be instantiated\n        '''\n        if isinstance(cal, string_types):\n            cal = PandasMarketCalendar(calendar=cal)\n        elif hasattr(cal, 'valid_days'):\n            cal = PandasMarketCalendar(calendar=cal)\n\n        else:\n            try:\n                if issubclass(cal, TradingCalendarBase):\n                    cal = cal()\n            except TypeError:  # already an instance\n                pass\n\n        self._tradingcal = cal\n\n    def add_signal(self, sigtype, sigcls, *sigargs, **sigkwargs):\n        '''Adds a signal to the system which will be later added to a\n        ``SignalStrategy``'''\n        self.signals.append((sigtype, sigcls, sigargs, sigkwargs))\n\n    def signal_strategy(self, stratcls, *args, **kwargs):\n        '''Adds a SignalStrategy subclass which can accept signals'''\n        self._signal_strat = (stratcls, args, kwargs)\n\n    def signal_concurrent(self, onoff):\n        '''If signals are added to the system and the ``concurrent`` value is\n        set to True, concurrent orders will be allowed'''\n        self._signal_concurrent = onoff\n\n    def signal_accumulate(self, onoff):\n        '''If signals are added to the system and the ``accumulate`` value is\n        set to True, entering the market when already in the market, will be\n        allowed to increase a position'''\n        self._signal_accumulate = onoff\n\n    def addstore(self, store):\n        '''Adds an ``Store`` instance to the if not already present'''\n        if store not in self.stores:\n            self.stores.append(store)\n\n    def addwriter(self, wrtcls, *args, **kwargs):\n        '''Adds an ``Writer`` class to the mix. Instantiation will be done at\n        ``run`` time in cerebro\n        '''\n        self.writers.append((wrtcls, args, kwargs))\n\n    def addsizer(self, sizercls, *args, **kwargs):\n        '''Adds a ``Sizer`` class (and args) which is the default sizer for any\n        strategy added to cerebro\n        '''\n        self.sizers[None] = (sizercls, args, kwargs)\n\n    def addsizer_byidx(self, idx, sizercls, *args, **kwargs):\n        '''Adds a ``Sizer`` class by idx. This idx is a reference compatible to\n        the one returned by ``addstrategy``. Only the strategy referenced by\n        ``idx`` will receive this size\n        '''\n        self.sizers[idx] = (sizercls, args, kwargs)\n\n    def addindicator(self, indcls, *args, **kwargs):\n        '''\n        Adds an ``Indicator`` class to the mix. Instantiation will be done at\n        ``run`` time in the passed strategies\n        '''\n        self.indicators.append((indcls, args, kwargs))\n\n    def addanalyzer(self, ancls, *args, **kwargs):\n        '''\n        Adds an ``Analyzer`` class to the mix. Instantiation will be done at\n        ``run`` time\n        '''\n        self.analyzers.append((ancls, args, kwargs))\n\n    def addobserver(self, obscls, *args, **kwargs):\n        '''\n        Adds an ``Observer`` class to the mix. Instantiation will be done at\n        ``run`` time\n        '''\n        self.observers.append((False, obscls, args, kwargs))\n\n    def addobservermulti(self, obscls, *args, **kwargs):\n        '''\n        Adds an ``Observer`` class to the mix. Instantiation will be done at\n        ``run`` time\n\n        It will be added once per \"data\" in the system. A use case is a\n        buy/sell observer which observes individual datas.\n\n        A counter-example is the CashValue, which observes system-wide values\n        '''\n        self.observers.append((True, obscls, args, kwargs))\n\n    def addstorecb(self, callback):\n        '''Adds a callback to get messages which would be handled by the\n        notify_store method\n\n        The signature of the callback must support the following:\n\n          - callback(msg, \\*args, \\*\\*kwargs)\n\n        The actual ``msg``, ``*args`` and ``**kwargs`` received are\n        implementation defined (depend entirely on the *data/broker/store*) but\n        in general one should expect them to be *printable* to allow for\n        reception and experimentation.\n        '''\n        self.storecbs.append(callback)\n\n    def _notify_store(self, msg, *args, **kwargs):\n        for callback in self.storecbs:\n            callback(msg, *args, **kwargs)\n\n        self.notify_store(msg, *args, **kwargs)\n\n    def notify_store(self, msg, *args, **kwargs):\n        '''Receive store notifications in cerebro\n\n        This method can be overridden in ``Cerebro`` subclasses\n\n        The actual ``msg``, ``*args`` and ``**kwargs`` received are\n        implementation defined (depend entirely on the *data/broker/store*) but\n        in general one should expect them to be *printable* to allow for\n        reception and experimentation.\n        '''\n        pass\n\n    def _storenotify(self):\n        for store in self.stores:\n            for notif in store.get_notifications():\n                msg, args, kwargs = notif\n\n                self._notify_store(msg, *args, **kwargs)\n                for strat in self.runningstrats:\n                    strat.notify_store(msg, *args, **kwargs)\n\n    def adddatacb(self, callback):\n        '''Adds a callback to get messages which would be handled by the\n        notify_data method\n\n        The signature of the callback must support the following:\n\n          - callback(data, status, \\*args, \\*\\*kwargs)\n\n        The actual ``*args`` and ``**kwargs`` received are implementation\n        defined (depend entirely on the *data/broker/store*) but in general one\n        should expect them to be *printable* to allow for reception and\n        experimentation.\n        '''\n        self.datacbs.append(callback)\n\n    def _datanotify(self):\n        for data in self.datas:\n            for notif in data.get_notifications():\n                status, args, kwargs = notif\n                self._notify_data(data, status, *args, **kwargs)\n                for strat in self.runningstrats:\n                    strat.notify_data(data, status, *args, **kwargs)\n\n    def _notify_data(self, data, status, *args, **kwargs):\n        for callback in self.datacbs:\n            callback(data, status, *args, **kwargs)\n\n        self.notify_data(data, status, *args, **kwargs)\n\n    def notify_data(self, data, status, *args, **kwargs):\n        '''Receive data notifications in cerebro\n\n        This method can be overridden in ``Cerebro`` subclasses\n\n        The actual ``*args`` and ``**kwargs`` received are\n        implementation defined (depend entirely on the *data/broker/store*) but\n        in general one should expect them to be *printable* to allow for\n        reception and experimentation.\n        '''\n        pass\n\n    def adddata(self, data, name=None):\n        '''\n        Adds a ``Data Feed`` instance to the mix.\n\n        If ``name`` is not None it will be put into ``data._name`` which is\n        meant for decoration/plotting purposes.\n        '''\n        if name is not None:\n            data._name = name\n\n        data._id = next(self._dataid)\n        data.setenvironment(self)\n\n        self.datas.append(data)\n        self.datasbyname[data._name] = data\n        feed = data.getfeed()\n        if feed and feed not in self.feeds:\n            self.feeds.append(feed)\n\n        if data.islive():\n            self._dolive = True\n\n        return data\n\n    def chaindata(self, *args, **kwargs):\n        '''\n        Chains several data feeds into one\n\n        If ``name`` is passed as named argument and is not None it will be put\n        into ``data._name`` which is meant for decoration/plotting purposes.\n\n        If ``None``, then the name of the 1st data will be used\n        '''\n        dname = kwargs.pop('name', None)\n        if dname is None:\n            dname = args[0]._dataname\n        d = bt.feeds.Chainer(dataname=dname, *args)\n        self.adddata(d, name=dname)\n\n        return d\n\n    def rolloverdata(self, *args, **kwargs):\n        '''Chains several data feeds into one\n\n        If ``name`` is passed as named argument and is not None it will be put\n        into ``data._name`` which is meant for decoration/plotting purposes.\n\n        If ``None``, then the name of the 1st data will be used\n\n        Any other kwargs will be passed to the RollOver class\n\n        '''\n        dname = kwargs.pop('name', None)\n        if dname is None:\n            dname = args[0]._dataname\n        d = bt.feeds.RollOver(dataname=dname, *args, **kwargs)\n        self.adddata(d, name=dname)\n\n        return d\n\n    def replaydata(self, dataname, name=None, **kwargs):\n        '''\n        Adds a ``Data Feed`` to be replayed by the system\n\n        If ``name`` is not None it will be put into ``data._name`` which is\n        meant for decoration/plotting purposes.\n\n        Any other kwargs like ``timeframe``, ``compression``, ``todate`` which\n        are supported by the replay filter will be passed transparently\n        '''\n        if any(dataname is x for x in self.datas):\n            dataname = dataname.clone()\n\n        dataname.replay(**kwargs)\n        self.adddata(dataname, name=name)\n        self._doreplay = True\n\n        return dataname\n\n    def resampledata(self, dataname, name=None, **kwargs):\n        '''\n        Adds a ``Data Feed`` to be resample by the system\n\n        If ``name`` is not None it will be put into ``data._name`` which is\n        meant for decoration/plotting purposes.\n\n        Any other kwargs like ``timeframe``, ``compression``, ``todate`` which\n        are supported by the resample filter will be passed transparently\n        '''\n        if any(dataname is x for x in self.datas):\n            dataname = dataname.clone()\n\n        dataname.resample(**kwargs)\n        self.adddata(dataname, name=name)\n        self._doreplay = True\n\n        return dataname\n\n    def optcallback(self, cb):\n        '''\n        Adds a *callback* to the list of callbacks that will be called with the\n        optimizations when each of the strategies has been run\n\n        The signature: cb(strategy)\n        '''\n        self.optcbs.append(cb)\n\n    def optstrategy(self, strategy, *args, **kwargs):\n        '''\n        Adds a ``Strategy`` class to the mix for optimization. Instantiation\n        will happen during ``run`` time.\n\n        args and kwargs MUST BE iterables which hold the values to check.\n\n        Example: if a Strategy accepts a parameter ``period``, for optimization\n        purposes the call to ``optstrategy`` looks like:\n\n          - cerebro.optstrategy(MyStrategy, period=(15, 25))\n\n        This will execute an optimization for values 15 and 25. Whereas\n\n          - cerebro.optstrategy(MyStrategy, period=range(15, 25))\n\n        will execute MyStrategy with ``period`` values 15 -> 25 (25 not\n        included, because ranges are semi-open in Python)\n\n        If a parameter is passed but shall not be optimized the call looks\n        like:\n\n          - cerebro.optstrategy(MyStrategy, period=(15,))\n\n        Notice that ``period`` is still passed as an iterable ... of just 1\n        element\n\n        ``backtrader`` will anyhow try to identify situations like:\n\n          - cerebro.optstrategy(MyStrategy, period=15)\n\n        and will create an internal pseudo-iterable if possible\n        '''\n        self._dooptimize = True\n        args = self.iterize(args)\n        optargs = itertools.product(*args)\n\n        optkeys = list(kwargs)\n\n        vals = self.iterize(kwargs.values())\n        optvals = itertools.product(*vals)\n\n        okwargs1 = map(zip, itertools.repeat(optkeys), optvals)\n\n        optkwargs = map(dict, okwargs1)\n\n        it = itertools.product([strategy], optargs, optkwargs)\n        self.strats.append(it)\n\n    def addstrategy(self, strategy, *args, **kwargs):\n        '''\n        Adds a ``Strategy`` class to the mix for a single pass run.\n        Instantiation will happen during ``run`` time.\n\n        args and kwargs will be passed to the strategy as they are during\n        instantiation.\n\n        Returns the index with which addition of other objects (like sizers)\n        can be referenced\n        '''\n        self.strats.append([(strategy, args, kwargs)])\n        return len(self.strats) - 1\n\n    def setbroker(self, broker):\n        '''\n        Sets a specific ``broker`` instance for this strategy, replacing the\n        one inherited from cerebro.\n        '''\n        self._broker = broker\n        broker.cerebro = self\n        return broker\n\n    def getbroker(self):\n        '''\n        Returns the broker instance.\n\n        This is also available as a ``property`` by the name ``broker``\n        '''\n        return self._broker\n\n    broker = property(getbroker, setbroker)\n\n    def plot(self, plotter=None, numfigs=1, iplot=True, start=None, end=None,\n             width=16, height=9, dpi=300, tight=True, use=None,\n             **kwargs):\n        '''\n        Plots the strategies inside cerebro\n\n        If ``plotter`` is None a default ``Plot`` instance is created and\n        ``kwargs`` are passed to it during instantiation.\n\n        ``numfigs`` split the plot in the indicated number of charts reducing\n        chart density if wished\n\n        ``iplot``: if ``True`` and running in a ``notebook`` the charts will be\n        displayed inline\n\n        ``use``: set it to the name of the desired matplotlib backend. It will\n        take precedence over ``iplot``\n\n        ``start``: An index to the datetime line array of the strategy or a\n        ``datetime.date``, ``datetime.datetime`` instance indicating the start\n        of the plot\n\n        ``end``: An index to the datetime line array of the strategy or a\n        ``datetime.date``, ``datetime.datetime`` instance indicating the end\n        of the plot\n\n        ``width``: in inches of the saved figure\n\n        ``height``: in inches of the saved figure\n\n        ``dpi``: quality in dots per inches of the saved figure\n\n        ``tight``: only save actual content and not the frame of the figure\n        '''\n        if self._exactbars > 0:\n            return\n\n        if not plotter:\n            from . import plot\n            if self.p.oldsync:\n                plotter = plot.Plot_OldSync(**kwargs)\n            else:\n                plotter = plot.Plot(**kwargs)\n\n        # pfillers = {self.datas[i]: self._plotfillers[i]\n        # for i, x in enumerate(self._plotfillers)}\n\n        # pfillers2 = {self.datas[i]: self._plotfillers2[i]\n        # for i, x in enumerate(self._plotfillers2)}\n\n        figs = []\n        for stratlist in self.runstrats:\n            for si, strat in enumerate(stratlist):\n                rfig = plotter.plot(strat, figid=si * 100,\n                                    numfigs=numfigs, iplot=iplot,\n                                    start=start, end=end, use=use)\n                # pfillers=pfillers2)\n\n                figs.append(rfig)\n\n            plotter.show()\n\n        return figs\n\n    def __call__(self, iterstrat):\n        '''\n        Used during optimization to pass the cerebro over the multiprocesing\n        module without complains\n        '''\n\n        predata = self.p.optdatas and self._dopreload and self._dorunonce\n        return self.runstrategies(iterstrat, predata=predata)\n\n    def __getstate__(self):\n        '''\n        Used during optimization to prevent optimization result `runstrats`\n        from being pickled to subprocesses\n        '''\n\n        rv = vars(self).copy()\n        if 'runstrats' in rv:\n            del(rv['runstrats'])\n        return rv\n\n    def runstop(self):\n        '''If invoked from inside a strategy or anywhere else, including other\n        threads the execution will stop as soon as possible.'''\n        self._event_stop = True  # signal a stop has been requested\n\n    def run(self, **kwargs):\n        '''The core method to perform backtesting. Any ``kwargs`` passed to it\n        will affect the value of the standard parameters ``Cerebro`` was\n        instantiated with.\n\n        If ``cerebro`` has not datas the method will immediately bail out.\n\n        It has different return values:\n\n          - For No Optimization: a list contanining instances of the Strategy\n            classes added with ``addstrategy``\n\n          - For Optimization: a list of lists which contain instances of the\n            Strategy classes added with ``addstrategy``\n        '''\n        self._event_stop = False  # Stop is requested\n\n        if not self.datas:\n            return []  # nothing can be run\n\n        pkeys = self.params._getkeys()\n        for key, val in kwargs.items():\n            if key in pkeys:\n                setattr(self.params, key, val)\n\n        # Manage activate/deactivate object cache\n        linebuffer.LineActions.cleancache()  # clean cache\n        indicator.Indicator.cleancache()  # clean cache\n\n        linebuffer.LineActions.usecache(self.p.objcache)\n        indicator.Indicator.usecache(self.p.objcache)\n\n        self._dorunonce = self.p.runonce\n        self._dopreload = self.p.preload\n        self._exactbars = int(self.p.exactbars)\n\n        if self._exactbars:\n            self._dorunonce = False  # something is saving memory, no runonce\n            self._dopreload = self._dopreload and self._exactbars < 1\n\n        self._doreplay = self._doreplay or any(x.replaying for x in self.datas)\n        if self._doreplay:\n            # preloading is not supported with replay. full timeframe bars\n            # are constructed in realtime\n            self._dopreload = False\n\n        if self._dolive or self.p.live:\n            # in this case both preload and runonce must be off\n            self._dorunonce = False\n            self._dopreload = False\n\n        self.runwriters = list()\n\n        # Add the system default writer if requested\n        if self.p.writer is True:\n            wr = WriterFile()\n            self.runwriters.append(wr)\n\n        # Instantiate any other writers\n        for wrcls, wrargs, wrkwargs in self.writers:\n            wr = wrcls(*wrargs, **wrkwargs)\n            self.runwriters.append(wr)\n\n        # Write down if any writer wants the full csv output\n        self.writers_csv = any(map(lambda x: x.p.csv, self.runwriters))\n\n        self.runstrats = list()\n\n        if self.signals:  # allow processing of signals\n            signalst, sargs, skwargs = self._signal_strat\n            if signalst is None:\n                # Try to see if the 1st regular strategy is a signal strategy\n                try:\n                    signalst, sargs, skwargs = self.strats.pop(0)\n                except IndexError:\n                    pass  # Nothing there\n                else:\n                    if not isinstance(signalst, SignalStrategy):\n                        # no signal ... reinsert at the beginning\n                        self.strats.insert(0, (signalst, sargs, skwargs))\n                        signalst = None  # flag as not presetn\n\n            if signalst is None:  # recheck\n                # Still None, create a default one\n                signalst, sargs, skwargs = SignalStrategy, tuple(), dict()\n\n            # Add the signal strategy\n            self.addstrategy(signalst,\n                             _accumulate=self._signal_accumulate,\n                             _concurrent=self._signal_concurrent,\n                             signals=self.signals,\n                             *sargs,\n                             **skwargs)\n\n        if not self.strats:  # Datas are present, add a strategy\n            self.addstrategy(Strategy)\n\n        iterstrats = itertools.product(*self.strats)\n        if not self._dooptimize or self.p.maxcpus == 1:\n            # If no optimmization is wished ... or 1 core is to be used\n            # let's skip process \"spawning\"\n            for iterstrat in iterstrats:\n                runstrat = self.runstrategies(iterstrat)\n                self.runstrats.append(runstrat)\n                if self._dooptimize:\n                    for cb in self.optcbs:\n                        cb(runstrat)  # callback receives finished strategy\n        else:\n            if self.p.optdatas and self._dopreload and self._dorunonce:\n                for data in self.datas:\n                    data.reset()\n                    if self._exactbars < 1:  # datas can be full length\n                        data.extend(size=self.params.lookahead)\n                    data._start()\n                    if self._dopreload:\n                        data.preload()\n\n            pool = multiprocessing.Pool(self.p.maxcpus or None)\n            for r in pool.imap(self, iterstrats):\n                self.runstrats.append(r)\n                for cb in self.optcbs:\n                    cb(r)  # callback receives finished strategy\n\n            pool.close()\n\n            if self.p.optdatas and self._dopreload and self._dorunonce:\n                for data in self.datas:\n                    data.stop()\n\n        if not self._dooptimize:\n            # avoid a list of list for regular cases\n            return self.runstrats[0]\n\n        return self.runstrats\n\n    def _init_stcount(self):\n        self.stcount = itertools.count(0)\n\n    def _next_stid(self):\n        return next(self.stcount)\n\n    def runstrategies(self, iterstrat, predata=False):\n        '''\n        Internal method invoked by ``run``` to run a set of strategies\n        '''\n        self._init_stcount()\n\n        self.runningstrats = runstrats = list()\n        for store in self.stores:\n            store.start()\n\n        if self.p.cheat_on_open and self.p.broker_coo:\n            # try to activate in broker\n            if hasattr(self._broker, 'set_coo'):\n                self._broker.set_coo(True)\n\n        if self._fhistory is not None:\n            self._broker.set_fund_history(self._fhistory)\n\n        for orders, onotify in self._ohistory:\n            self._broker.add_order_history(orders, onotify)\n\n        self._broker.start()\n\n        for feed in self.feeds:\n            feed.start()\n\n        if self.writers_csv:\n            wheaders = list()\n            for data in self.datas:\n                if data.csv:\n                    wheaders.extend(data.getwriterheaders())\n\n            for writer in self.runwriters:\n                if writer.p.csv:\n                    writer.addheaders(wheaders)\n\n        # self._plotfillers = [list() for d in self.datas]\n        # self._plotfillers2 = [list() for d in self.datas]\n\n        if not predata:\n            for data in self.datas:\n                data.reset()\n                if self._exactbars < 1:  # datas can be full length\n                    data.extend(size=self.params.lookahead)\n                data._start()\n                if self._dopreload:\n                    data.preload()\n\n        for stratcls, sargs, skwargs in iterstrat:\n            sargs = self.datas + list(sargs)\n            try:\n                strat = stratcls(*sargs, **skwargs)\n            except bt.errors.StrategySkipError:\n                continue  # do not add strategy to the mix\n\n            if self.p.oldsync:\n                strat._oldsync = True  # tell strategy to use old clock update\n            if self.p.tradehistory:\n                strat.set_tradehistory()\n            runstrats.append(strat)\n\n        tz = self.p.tz\n        if isinstance(tz, integer_types):\n            tz = self.datas[tz]._tz\n        else:\n            tz = tzparse(tz)\n\n        if runstrats:\n            # loop separated for clarity\n            defaultsizer = self.sizers.get(None, (None, None, None))\n            for idx, strat in enumerate(runstrats):\n                if self.p.stdstats:\n                    strat._addobserver(False, observers.Broker)\n                    if self.p.oldbuysell:\n                        strat._addobserver(True, observers.BuySell)\n                    else:\n                        strat._addobserver(True, observers.BuySell,\n                                           barplot=True)\n\n                    if self.p.oldtrades or len(self.datas) == 1:\n                        strat._addobserver(False, observers.Trades)\n                    else:\n                        strat._addobserver(False, observers.DataTrades)\n\n                for multi, obscls, obsargs, obskwargs in self.observers:\n                    strat._addobserver(multi, obscls, *obsargs, **obskwargs)\n\n                for indcls, indargs, indkwargs in self.indicators:\n                    strat._addindicator(indcls, *indargs, **indkwargs)\n\n                for ancls, anargs, ankwargs in self.analyzers:\n                    strat._addanalyzer(ancls, *anargs, **ankwargs)\n\n                sizer, sargs, skwargs = self.sizers.get(idx, defaultsizer)\n                if sizer is not None:\n                    strat._addsizer(sizer, *sargs, **skwargs)\n\n                strat._settz(tz)\n                strat._start()\n\n                for writer in self.runwriters:\n                    if writer.p.csv:\n                        writer.addheaders(strat.getwriterheaders())\n\n            if not predata:\n                for strat in runstrats:\n                    strat.qbuffer(self._exactbars, replaying=self._doreplay)\n\n            for writer in self.runwriters:\n                writer.start()\n\n            # Prepare timers\n            self._timers = []\n            self._timerscheat = []\n            for timer in self._pretimers:\n                # preprocess tzdata if needed\n                timer.start(self.datas[0])\n\n                if timer.params.cheat:\n                    self._timerscheat.append(timer)\n                else:\n                    self._timers.append(timer)\n\n            if self._dopreload and self._dorunonce:\n                if self.p.oldsync:\n                    self._runonce_old(runstrats)\n                else:\n                    self._runonce(runstrats)\n            else:\n                if self.p.oldsync:\n                    self._runnext_old(runstrats)\n                else:\n                    self._runnext(runstrats)\n\n            for strat in runstrats:\n                strat._stop()\n\n        self._broker.stop()\n\n        if not predata:\n            for data in self.datas:\n                data.stop()\n\n        for feed in self.feeds:\n            feed.stop()\n\n        for store in self.stores:\n            store.stop()\n\n        self.stop_writers(runstrats)\n\n        if self._dooptimize and self.p.optreturn:\n            # Results can be optimized\n            results = list()\n            for strat in runstrats:\n                for a in strat.analyzers:\n                    a.strategy = None\n                    a._parent = None\n                    for attrname in dir(a):\n                        if attrname.startswith('data'):\n                            setattr(a, attrname, None)\n\n                oreturn = OptReturn(strat.params, analyzers=strat.analyzers, strategycls=type(strat))\n                results.append(oreturn)\n\n            return results\n\n        return runstrats\n\n    def stop_writers(self, runstrats):\n        cerebroinfo = OrderedDict()\n        datainfos = OrderedDict()\n\n        for i, data in enumerate(self.datas):\n            datainfos['Data%d' % i] = data.getwriterinfo()\n\n        cerebroinfo['Datas'] = datainfos\n\n        stratinfos = dict()\n        for strat in runstrats:\n            stname = strat.__class__.__name__\n            stratinfos[stname] = strat.getwriterinfo()\n\n        cerebroinfo['Strategies'] = stratinfos\n\n        for writer in self.runwriters:\n            writer.writedict(dict(Cerebro=cerebroinfo))\n            writer.stop()\n\n    def _brokernotify(self):\n        '''\n        Internal method which kicks the broker and delivers any broker\n        notification to the strategy\n        '''\n        self._broker.next()\n        while True:\n            order = self._broker.get_notification()\n            if order is None:\n                break\n\n            owner = order.owner\n            if owner is None:\n                owner = self.runningstrats[0]  # default\n\n            owner._addnotification(order, quicknotify=self.p.quicknotify)\n\n    def _runnext_old(self, runstrats):\n        '''\n        Actual implementation of run in full next mode. All objects have its\n        ``next`` method invoke on each data arrival\n        '''\n        data0 = self.datas[0]\n        d0ret = True\n        while d0ret or d0ret is None:\n            lastret = False\n            # Notify anything from the store even before moving datas\n            # because datas may not move due to an error reported by the store\n            self._storenotify()\n            if self._event_stop:  # stop if requested\n                return\n            self._datanotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            d0ret = data0.next()\n            if d0ret:\n                for data in self.datas[1:]:\n                    if not data.next(datamaster=data0):  # no delivery\n                        data._check(forcedata=data0)  # check forcing output\n                        data.next(datamaster=data0)  # retry\n\n            elif d0ret is None:\n                # meant for things like live feeds which may not produce a bar\n                # at the moment but need the loop to run for notifications and\n                # getting resample and others to produce timely bars\n                data0._check()\n                for data in self.datas[1:]:\n                    data._check()\n            else:\n                lastret = data0._last()\n                for data in self.datas[1:]:\n                    lastret += data._last(datamaster=data0)\n\n                if not lastret:\n                    # Only go extra round if something was changed by \"lasts\"\n                    break\n\n            # Datas may have generated a new notification after next\n            self._datanotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            self._brokernotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            if d0ret or lastret:  # bars produced by data or filters\n                for strat in runstrats:\n                    strat._next()\n                    if self._event_stop:  # stop if requested\n                        return\n\n                    self._next_writers(runstrats)\n\n        # Last notification chance before stopping\n        self._datanotify()\n        if self._event_stop:  # stop if requested\n            return\n        self._storenotify()\n        if self._event_stop:  # stop if requested\n            return\n\n    def _runonce_old(self, runstrats):\n        '''\n        Actual implementation of run in vector mode.\n        Strategies are still invoked on a pseudo-event mode in which ``next``\n        is called for each data arrival\n        '''\n        for strat in runstrats:\n            strat._once()\n\n        # The default once for strategies does nothing and therefore\n        # has not moved forward all datas/indicators/observers that\n        # were homed before calling once, Hence no \"need\" to do it\n        # here again, because pointers are at 0\n        data0 = self.datas[0]\n        datas = self.datas[1:]\n        for i in range(data0.buflen()):\n            data0.advance()\n            for data in datas:\n                data.advance(datamaster=data0)\n\n            self._brokernotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            for strat in runstrats:\n                # data0.datetime[0] for compat. w/ new strategy's oncepost\n                strat._oncepost(data0.datetime[0])\n                if self._event_stop:  # stop if requested\n                    return\n\n                self._next_writers(runstrats)\n\n    def _next_writers(self, runstrats):\n        if not self.runwriters:\n            return\n\n        if self.writers_csv:\n            wvalues = list()\n            for data in self.datas:\n                if data.csv:\n                    wvalues.extend(data.getwritervalues())\n\n            for strat in runstrats:\n                wvalues.extend(strat.getwritervalues())\n\n            for writer in self.runwriters:\n                if writer.p.csv:\n                    writer.addvalues(wvalues)\n\n                    writer.next()\n\n    def _disable_runonce(self):\n        '''API for lineiterators to disable runonce (see HeikinAshi)'''\n        self._dorunonce = False\n\n    def _runnext(self, runstrats):\n        '''\n        Actual implementation of run in full next mode. All objects have its\n        ``next`` method invoke on each data arrival\n        '''\n        datas = sorted(self.datas,\n                       key=lambda x: (x._timeframe, x._compression))\n        datas1 = datas[1:]\n        data0 = datas[0]\n        d0ret = True\n\n        rs = [i for i, x in enumerate(datas) if x.resampling]\n        rp = [i for i, x in enumerate(datas) if x.replaying]\n        rsonly = [i for i, x in enumerate(datas)\n                  if x.resampling and not x.replaying]\n        onlyresample = len(datas) == len(rsonly)\n        noresample = not rsonly\n\n        clonecount = sum(d._clone for d in datas)\n        ldatas = len(datas)\n        ldatas_noclones = ldatas - clonecount\n        lastqcheck = False\n        dt0 = date2num(datetime.datetime.max) - 2  # default at max\n        while d0ret or d0ret is None:\n            # if any has live data in the buffer, no data will wait anything\n            newqcheck = not any(d.haslivedata() for d in datas)\n            if not newqcheck:\n                # If no data has reached the live status or all, wait for\n                # the next incoming data\n                livecount = sum(d._laststatus == d.LIVE for d in datas)\n                newqcheck = not livecount or livecount == ldatas_noclones\n\n            lastret = False\n            # Notify anything from the store even before moving datas\n            # because datas may not move due to an error reported by the store\n            self._storenotify()\n            if self._event_stop:  # stop if requested\n                return\n            self._datanotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            # record starting time and tell feeds to discount the elapsed time\n            # from the qcheck value\n            drets = []\n            qstart = datetime.datetime.utcnow()\n            for d in datas:\n                qlapse = datetime.datetime.utcnow() - qstart\n                d.do_qcheck(newqcheck, qlapse.total_seconds())\n                drets.append(d.next(ticks=False))\n\n            d0ret = any((dret for dret in drets))\n            if not d0ret and any((dret is None for dret in drets)):\n                d0ret = None\n\n            if d0ret:\n                dts = []\n                for i, ret in enumerate(drets):\n                    dts.append(datas[i].datetime[0] if ret else None)\n\n                # Get index to minimum datetime\n                if onlyresample or noresample:\n                    dt0 = min((d for d in dts if d is not None))\n                else:\n                    dt0 = min((d for i, d in enumerate(dts)\n                               if d is not None and i not in rsonly))\n\n                dmaster = datas[dts.index(dt0)]  # and timemaster\n                self._dtmaster = dmaster.num2date(dt0)\n                self._udtmaster = num2date(dt0)\n\n                # slen = len(runstrats[0])\n                # Try to get something for those that didn't return\n                for i, ret in enumerate(drets):\n                    if ret:  # dts already contains a valid datetime for this i\n                        continue\n\n                    # try to get a data by checking with a master\n                    d = datas[i]\n                    d._check(forcedata=dmaster)  # check to force output\n                    if d.next(datamaster=dmaster, ticks=False):  # retry\n                        dts[i] = d.datetime[0]  # good -> store\n                        # self._plotfillers2[i].append(slen)  # mark as fill\n                    else:\n                        # self._plotfillers[i].append(slen)  # mark as empty\n                        pass\n\n                # make sure only those at dmaster level end up delivering\n                for i, dti in enumerate(dts):\n                    if dti is not None:\n                        di = datas[i]\n                        rpi = False and di.replaying   # to check behavior\n                        if dti > dt0:\n                            if not rpi:  # must see all ticks ...\n                                di.rewind()  # cannot deliver yet\n                            # self._plotfillers[i].append(slen)\n                        elif not di.replaying:\n                            # Replay forces tick fill, else force here\n                            di._tick_fill(force=True)\n\n                        # self._plotfillers2[i].append(slen)  # mark as fill\n\n            elif d0ret is None:\n                # meant for things like live feeds which may not produce a bar\n                # at the moment but need the loop to run for notifications and\n                # getting resample and others to produce timely bars\n                for data in datas:\n                    data._check()\n            else:\n                lastret = data0._last()\n                for data in datas1:\n                    lastret += data._last(datamaster=data0)\n\n                if not lastret:\n                    # Only go extra round if something was changed by \"lasts\"\n                    break\n\n            # Datas may have generated a new notification after next\n            self._datanotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            if d0ret or lastret:  # if any bar, check timers before broker\n                self._check_timers(runstrats, dt0, cheat=True)\n                if self.p.cheat_on_open:\n                    for strat in runstrats:\n                        strat._next_open()\n                        if self._event_stop:  # stop if requested\n                            return\n\n            self._brokernotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            if d0ret or lastret:  # bars produced by data or filters\n                self._check_timers(runstrats, dt0, cheat=False)\n                for strat in runstrats:\n                    strat._next()\n                    if self._event_stop:  # stop if requested\n                        return\n\n                    self._next_writers(runstrats)\n\n        # Last notification chance before stopping\n        self._datanotify()\n        if self._event_stop:  # stop if requested\n            return\n        self._storenotify()\n        if self._event_stop:  # stop if requested\n            return\n\n    def _runonce(self, runstrats):\n        '''\n        Actual implementation of run in vector mode.\n\n        Strategies are still invoked on a pseudo-event mode in which ``next``\n        is called for each data arrival\n        '''\n        for strat in runstrats:\n            strat._once()\n            strat.reset()  # strat called next by next - reset lines\n\n        # The default once for strategies does nothing and therefore\n        # has not moved forward all datas/indicators/observers that\n        # were homed before calling once, Hence no \"need\" to do it\n        # here again, because pointers are at 0\n        datas = sorted(self.datas,\n                       key=lambda x: (x._timeframe, x._compression))\n\n        while True:\n            # Check next incoming date in the datas\n            dts = [d.advance_peek() for d in datas]\n            dt0 = min(dts)\n            if dt0 == float('inf'):\n                break  # no data delivers anything\n\n            # Timemaster if needed be\n            # dmaster = datas[dts.index(dt0)]  # and timemaster\n            slen = len(runstrats[0])\n            for i, dti in enumerate(dts):\n                if dti <= dt0:\n                    datas[i].advance()\n                    # self._plotfillers2[i].append(slen)  # mark as fill\n                else:\n                    # self._plotfillers[i].append(slen)\n                    pass\n\n            self._check_timers(runstrats, dt0, cheat=True)\n\n            if self.p.cheat_on_open:\n                for strat in runstrats:\n                    strat._oncepost_open()\n                    if self._event_stop:  # stop if requested\n                        return\n\n            self._brokernotify()\n            if self._event_stop:  # stop if requested\n                return\n\n            self._check_timers(runstrats, dt0, cheat=False)\n\n            for strat in runstrats:\n                strat._oncepost(dt0)\n                if self._event_stop:  # stop if requested\n                    return\n\n                self._next_writers(runstrats)\n\n    def _check_timers(self, runstrats, dt0, cheat=False):\n        timers = self._timers if not cheat else self._timerscheat\n        for t in timers:\n            if not t.check(dt0):\n                continue\n\n            t.params.owner.notify_timer(t, t.lastwhen, *t.args, **t.kwargs)\n\n            if t.params.strats:\n                for strat in runstrats:\n                    strat.notify_timer(t, t.lastwhen, *t.args, **t.kwargs)\n"
  },
  {
    "path": "backtrader/comminfo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\nfrom .utils.py3 import with_metaclass\nfrom .metabase import MetaParams\n\n\nclass CommInfoBase(with_metaclass(MetaParams)):\n    '''Base Class for the Commission Schemes.\n\n    Params:\n\n      - ``commission`` (def: ``0.0``): base commission value in percentage or\n        monetary units\n\n      - ``mult`` (def ``1.0``): multiplier applied to the asset for\n        value/profit\n\n      - ``margin`` (def: ``None``): amount of monetary units needed to\n        open/hold an operation. It only applies if the final ``_stocklike``\n        attribute in the class is set to ``False``\n\n      - ``automargin`` (def: ``False``): Used by the method ``get_margin``\n        to automatically calculate the margin/guarantees needed with the\n        following policy\n\n          - Use param ``margin`` if param ``automargin`` evaluates to ``False``\n\n          - Use param ``mult`` * ``price`` if ``automargin < 0``\n\n          - Use param ``automargin`` * ``price`` if ``automargin > 0``\n\n      - ``commtype`` (def: ``None``): Supported values are\n        ``CommInfoBase.COMM_PERC`` (commission to be understood as %) and\n        ``CommInfoBase.COMM_FIXED`` (commission to be understood as monetary\n        units)\n\n        The default value of ``None`` is a supported value to retain\n        compatibility with the legacy ``CommissionInfo`` object. If\n        ``commtype`` is set to None, then the following applies:\n\n          - ``margin`` is ``None``: Internal ``_commtype`` is set to\n            ``COMM_PERC`` and ``_stocklike`` is set to ``True`` (Operating\n            %-wise with Stocks)\n\n          - ``margin`` is not ``None``: ``_commtype`` set to ``COMM_FIXED`` and\n            ``_stocklike`` set to ``False`` (Operating with fixed rount-trip\n            commission with Futures)\n\n        If this param is set to something else than ``None``, then it will be\n        passed to the internal ``_commtype`` attribute and the same will be\n        done with the param ``stocklike`` and the internal attribute\n        ``_stocklike``\n\n      - ``stocklike`` (def: ``False``): Indicates if the instrument is\n        Stock-like or Futures-like (see the ``commtype`` discussion above)\n\n      - ``percabs`` (def: ``False``): when ``commtype`` is set to COMM_PERC,\n        whether the parameter ``commission`` has to be understood as XX% or\n        0.XX\n\n        If this param is ``True``: 0.XX\n        If this param is ``False``: XX%\n\n      - ``interest`` (def: ``0.0``)\n\n        If this is non-zero, this is the yearly interest charged for holding a\n        short selling position. This is mostly meant for stock short-selling\n\n        The formula: ``days * price * abs(size) * (interest / 365)``\n\n        It must be specified in absolute terms: 0.05 -> 5%\n\n        .. note:: the behavior can be changed by overriding the method:\n                 ``_get_credit_interest``\n\n      - ``interest_long`` (def: ``False``)\n\n        Some products like ETFs get charged on interest for short and long\n        positions. If ths is ``True`` and ``interest`` is non-zero the interest\n        will be charged on both directions\n\n      - ``leverage`` (def: ``1.0``)\n\n        Amount of leverage for the asset with regards to the needed cash\n\n    Attributes:\n\n      - ``_stocklike``: Final value to use for Stock-like/Futures-like behavior\n      - ``_commtype``: Final value to use for PERC vs FIXED commissions\n\n      This two are used internally instead of the declared params to enable the\n      compatibility check described above for the legacy ``CommissionInfo``\n      object\n\n    '''\n\n    COMM_PERC, COMM_FIXED = range(2)\n\n    params = (\n        ('commission', 0.0), ('mult', 1.0), ('margin', None),\n        ('commtype', None),\n        ('stocklike', False),\n        ('percabs', False),\n        ('interest', 0.0),\n        ('interest_long', False),\n        ('leverage', 1.0),\n        ('automargin', False),\n    )\n\n    def __init__(self):\n        super(CommInfoBase, self).__init__()\n\n        self._stocklike = self.p.stocklike\n        self._commtype = self.p.commtype\n\n        # The intial block checks for the behavior of the original\n        # CommissionInfo in which the commission scheme (perc/fixed) was\n        # determined by parameter \"margin\" evaluating to False/True\n        # If the parameter \"commtype\" is None, this behavior is emulated\n        # else, the parameter values are used\n\n        if self._commtype is None:  # original CommissionInfo behavior applies\n            if self.p.margin:\n                self._stocklike = False\n                self._commtype = self.COMM_FIXED\n            else:\n                self._stocklike = True\n                self._commtype = self.COMM_PERC\n\n        if not self._stocklike and not self.p.margin:\n            self.p.margin = 1.0  # avoid having None/0\n\n        if self._commtype == self.COMM_PERC and not self.p.percabs:\n            self.p.commission /= 100.0\n\n        self._creditrate = self.p.interest / 365.0\n\n    @property\n    def margin(self):\n        return self.p.margin\n\n    @property\n    def stocklike(self):\n        return self._stocklike\n\n    def get_margin(self, price):\n        '''Returns the actual margin/guarantees needed for a single item of the\n        asset at the given price. The default implementation has this policy:\n\n          - Use param ``margin`` if param ``automargin`` evaluates to ``False``\n\n          - Use param ``mult`` * ``price`` if ``automargin < 0``\n\n          - Use param ``automargin`` * ``price`` if ``automargin > 0``\n        '''\n        if not self.p.automargin:\n            return self.p.margin\n\n        elif self.p.automargin < 0:\n            return price * self.p.mult\n\n        return price * self.p.automargin  # int/float expected\n\n    def get_leverage(self):\n\n        '''Returns the level of leverage allowed for this comission scheme'''\n        return self.p.leverage\n\n    def getsize(self, price, cash):\n        '''Returns the needed size to meet a cash operation at a given price'''\n        if not self._stocklike:\n            return int(self.p.leverage * (cash // self.get_margin(price)))\n\n        return int(self.p.leverage * (cash // price))\n\n    def getoperationcost(self, size, price):\n        '''Returns the needed amount of cash an operation would cost'''\n        if not self._stocklike:\n            return abs(size) * self.get_margin(price)\n\n        return abs(size) * price\n\n    def getvaluesize(self, size, price):\n        '''Returns the value of size for given a price. For future-like\n        objects it is fixed at size * margin'''\n        if not self._stocklike:\n            return abs(size) * self.get_margin(price)\n\n        return size * price\n\n    def getvalue(self, position, price):\n        '''Returns the value of a position given a price. For future-like\n        objects it is fixed at size * margin'''\n        if not self._stocklike:\n            return abs(position.size) * self.get_margin(price)\n\n        size = position.size\n        if size >= 0:\n            return size * price\n\n        # With stocks, a short position is worth more as the price goes down\n        value = position.price * size  # original value\n        value += (position.price - price) * size  # increased value\n        return value\n\n    def _getcommission(self, size, price, pseudoexec):\n        '''Calculates the commission of an operation at a given price\n\n        pseudoexec: if True the operation has not yet been executed\n        '''\n        if self._commtype == self.COMM_PERC:\n            return abs(size) * self.p.commission * price\n\n        return abs(size) * self.p.commission\n\n    def getcommission(self, size, price):\n        '''Calculates the commission of an operation at a given price\n        '''\n        return self._getcommission(size, price, pseudoexec=True)\n\n    def confirmexec(self, size, price):\n        return self._getcommission(size, price, pseudoexec=False)\n\n    def profitandloss(self, size, price, newprice):\n        '''Return actual profit and loss a position has'''\n        return size * (newprice - price) * self.p.mult\n\n    def cashadjust(self, size, price, newprice):\n        '''Calculates cash adjustment for a given price difference'''\n        if not self._stocklike:\n            return size * (newprice - price) * self.p.mult\n\n        return 0.0\n\n    def get_credit_interest(self, data, pos, dt):\n        '''Calculates the credit due for short selling or product specific'''\n        size, price = pos.size, pos.price\n\n        if size > 0 and not self.p.interest_long:\n            return 0.0  # long positions not charged\n\n        dt0 = dt.date()\n        dt1 = pos.datetime.date()\n\n        if dt0 <= dt1:\n            return 0.0\n\n        return self._get_credit_interest(data, size, price,\n                                         (dt0 - dt1).days, dt0, dt1)\n\n    def _get_credit_interest(self, data, size, price, days, dt0, dt1):\n        '''\n        This method returns  the cost in terms of credit interest charged by\n        the broker.\n\n        In the case of ``size > 0`` this method will only be called if the\n        parameter to the class ``interest_long`` is ``True``\n\n        The formulat for the calculation of the credit interest rate is:\n\n          The formula: ``days * price * abs(size) * (interest / 365)``\n\n\n        Params:\n          - ``data``: data feed for which interest is charged\n\n          - ``size``: current position size. > 0 for long positions and < 0 for\n            short positions (this parameter will not be ``0``)\n\n          - ``price``: current position price\n\n          - ``days``: number of days elapsed since last credit calculation\n            (this is (dt0 - dt1).days)\n\n          - ``dt0``: (datetime.datetime) current datetime\n\n          - ``dt1``: (datetime.datetime) datetime of previous calculation\n\n        ``dt0`` and ``dt1`` are not used in the default implementation and are\n        provided as extra input for overridden methods\n        '''\n        return days * self._creditrate * abs(size) * price\n\n\nclass CommissionInfo(CommInfoBase):\n    '''Base Class for the actual Commission Schemes.\n\n    CommInfoBase was created to keep suppor for the original, incomplete,\n    support provided by *backtrader*. New commission schemes derive from this\n    class which subclasses ``CommInfoBase``.\n\n    The default value of ``percabs`` is also changed to ``True``\n\n    Params:\n\n      - ``percabs`` (def: True): when ``commtype`` is set to COMM_PERC, whether\n        the parameter ``commission`` has to be understood as XX% or 0.XX\n\n        If this param is True: 0.XX\n        If this param is False: XX%\n\n    '''\n    params = (\n        ('percabs', True),  # Original CommissionInfo took 0.xx for percentages\n    )\n"
  },
  {
    "path": "backtrader/commissions/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom ..comminfo import CommInfoBase\n\n\nclass CommInfo(CommInfoBase):\n    pass  # clone of CommissionInfo but with xx% instead of 0.xx\n\n\nclass CommInfo_Futures(CommInfoBase):\n    params = (\n        ('stocklike', False),\n    )\n\n\nclass CommInfo_Futures_Perc(CommInfo_Futures):\n    params = (\n        ('commtype', CommInfoBase.COMM_PERC),\n    )\n\n\nclass CommInfo_Futures_Fixed(CommInfo_Futures):\n    params = (\n        ('commtype', CommInfoBase.COMM_FIXED),\n    )\n\n\nclass CommInfo_Stocks(CommInfoBase):\n    params = (\n        ('stocklike', True),\n    )\n\n\nclass CommInfo_Stocks_Perc(CommInfo_Stocks):\n    params = (\n        ('commtype', CommInfoBase.COMM_PERC),\n    )\n\n\nclass CommInfo_Stocks_Fixed(CommInfo_Stocks):\n    params = (\n        ('commtype', CommInfoBase.COMM_FIXED),\n    )\n"
  },
  {
    "path": "backtrader/dataseries.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime as _datetime\nfrom datetime import datetime\nimport inspect\n\nfrom .utils.py3 import range, with_metaclass\nfrom .lineseries import LineSeries\nfrom .utils import AutoOrderedDict, OrderedDict, date2num\n\n\nclass TimeFrame(object):\n    (Ticks, MicroSeconds, Seconds, Minutes,\n     Days, Weeks, Months, Years, NoTimeFrame) = range(1, 10)\n\n    Names = ['', 'Ticks', 'MicroSeconds', 'Seconds', 'Minutes',\n             'Days', 'Weeks', 'Months', 'Years', 'NoTimeFrame']\n\n    names = Names  # support old naming convention\n\n    @classmethod\n    def getname(cls, tframe, compression=None):\n        tname = cls.Names[tframe]\n        if compression > 1 or tname == cls.Names[-1]:\n            return tname  # for plural or 'NoTimeFrame' return plain entry\n\n        # return singular if compression is 1\n        return cls.Names[tframe][:-1]\n\n    @classmethod\n    def TFrame(cls, name):\n        return getattr(cls, name)\n\n    @classmethod\n    def TName(cls, tframe):\n        return cls.Names[tframe]\n\n\nclass DataSeries(LineSeries):\n    plotinfo = dict(plot=True, plotind=True, plotylimited=True)\n\n    _name = ''\n    _compression = 1\n    _timeframe = TimeFrame.Days\n\n    Close, Low, High, Open, Volume, OpenInterest, DateTime = range(7)\n\n    LineOrder = [DateTime, Open, High, Low, Close, Volume, OpenInterest]\n\n    def getwriterheaders(self):\n        headers = [self._name, 'len']\n\n        for lo in self.LineOrder:\n            headers.append(self._getlinealias(lo))\n\n        morelines = self.getlinealiases()[len(self.LineOrder):]\n        headers.extend(morelines)\n\n        return headers\n\n    def getwritervalues(self):\n        l = len(self)\n        values = [self._name, l]\n\n        if l:\n            values.append(self.datetime.datetime(0))\n            for line in self.LineOrder[1:]:\n                values.append(self.lines[line][0])\n            for i in range(len(self.LineOrder), self.lines.size()):\n                values.append(self.lines[i][0])\n        else:\n            values.extend([''] * self.lines.size())  # no values yet\n\n        return values\n\n    def getwriterinfo(self):\n        # returns dictionary with information\n        info = OrderedDict()\n        info['Name'] = self._name\n        info['Timeframe'] = TimeFrame.TName(self._timeframe)\n        info['Compression'] = self._compression\n\n        return info\n\n\nclass OHLC(DataSeries):\n    lines = ('close', 'low', 'high', 'open', 'volume', 'openinterest',)\n\n\nclass OHLCDateTime(OHLC):\n    lines = (('datetime'),)\n\n\nclass SimpleFilterWrapper(object):\n    '''Wrapper for filters added via .addfilter to turn them\n    into processors.\n\n    Filters are callables which\n\n      - Take a ``data`` as an argument\n      - Return False if the current bar has not triggered the filter\n      - Return True if the current bar must be filtered\n\n    The wrapper takes the return value and executes the bar removal\n    if needed be\n    '''\n    def __init__(self, data, ffilter, *args, **kwargs):\n        if inspect.isclass(ffilter):\n            ffilter = ffilter(data, *args, **kwargs)\n            args = []\n            kwargs = {}\n\n        self.ffilter = ffilter\n        self.args = args\n        self.kwargs = kwargs\n\n    def __call__(self, data):\n        if self.ffilter(data, *self.args, **self.kwargs):\n            data.backwards()\n            return True\n\n        return False\n\n\nclass _Bar(AutoOrderedDict):\n    '''\n    This class is a placeholder for the values of the standard lines of a\n    DataBase class (from OHLCDateTime)\n\n    It inherits from AutoOrderedDict to be able to easily return the values as\n    an iterable and address the keys as attributes\n\n    Order of definition is important and must match that of the lines\n    definition in DataBase (which directly inherits from OHLCDateTime)\n    '''\n    replaying = False\n\n    # Without - 1 ... converting back to time will not work\n    # Need another -1 to support timezones which may move the time forward\n    MAXDATE = date2num(_datetime.datetime.max) - 2\n\n    def __init__(self, maxdate=False):\n        super(_Bar, self).__init__()\n        self.bstart(maxdate=maxdate)\n\n    def bstart(self, maxdate=False):\n        '''Initializes a bar to the default not-updated vaues'''\n        # Order is important: defined in DataSeries/OHLC/OHLCDateTime\n        self.close = float('NaN')\n        self.low = float('inf')\n        self.high = float('-inf')\n        self.open = float('NaN')\n        self.volume = 0.0\n        self.openinterest = 0.0\n        self.datetime = self.MAXDATE if maxdate else None\n\n    def isopen(self):\n        '''Returns if a bar has already been updated\n\n        Uses the fact that NaN is the value which is not equal to itself\n        and ``open`` is initialized to NaN\n        '''\n        o = self.open\n        return o == o  # False if NaN, True in other cases\n\n    def bupdate(self, data, reopen=False):\n        '''Updates a bar with the values from data\n\n        Returns True if the update was the 1st on a bar (just opened)\n\n        Returns False otherwise\n        '''\n        if reopen:\n            self.bstart()\n\n        self.datetime = data.datetime[0]\n\n        self.high = max(self.high, data.high[0])\n        self.low = min(self.low, data.low[0])\n        self.close = data.close[0]\n\n        self.volume += data.volume[0]\n        self.openinterest = data.openinterest[0]\n\n        o = self.open\n        if reopen or not o == o:\n            self.open = data.open[0]\n            return True  # just opened the bar\n\n        return False\n"
  },
  {
    "path": "backtrader/errors.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\n__all__ = ['BacktraderError', 'StrategySkipError']\n\n\nclass BacktraderError(Exception):\n    '''Base exception for all other exceptions'''\n    pass\n\n\nclass StrategySkipError(BacktraderError):\n    '''Requests the platform to skip this strategy for backtesting. To be\n    raised during the initialization (``__init__``) phase of the instance'''\n    pass\n\n\nclass ModuleImportError(BacktraderError):\n    '''Raised if a class requests a module to be present to work and it cannot\n    be imported'''\n    def __init__(self, message, *args):\n        super(ModuleImportError, self).__init__(message)\n        self.args = args\n\n\nclass FromModuleImportError(ModuleImportError):\n    '''Raised if a class requests a module to be present to work and it cannot\n    be imported'''\n    def __init__(self, message, *args):\n        super(FromModuleImportError, self).__init__(message, *args)\n"
  },
  {
    "path": "backtrader/feed.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport datetime\nimport inspect\nimport io\nimport os.path\n\nimport backtrader as bt\nfrom backtrader import (date2num, num2date, time2num, TimeFrame, dataseries,\n                        metabase)\n\nfrom backtrader.utils.py3 import with_metaclass, zip, range, string_types\nfrom backtrader.utils import tzparse\nfrom .dataseries import SimpleFilterWrapper\nfrom .resamplerfilter import Resampler, Replayer\nfrom .tradingcal import PandasMarketCalendar\n\n\nclass MetaAbstractDataBase(dataseries.OHLCDateTime.__class__):\n    _indcol = dict()\n\n    def __init__(cls, name, bases, dct):\n        '''\n        Class has already been created ... register subclasses\n        '''\n        # Initialize the class\n        super(MetaAbstractDataBase, cls).__init__(name, bases, dct)\n\n        if not cls.aliased and \\\n           name != 'DataBase' and not name.startswith('_'):\n            cls._indcol[name] = cls\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaAbstractDataBase, cls).dopreinit(_obj, *args, **kwargs)\n\n        # Find the owner and store it\n        _obj._feed = metabase.findowner(_obj, FeedBase)\n\n        _obj.notifs = collections.deque()  # store notifications for cerebro\n\n        _obj._dataname = _obj.p.dataname\n        _obj._name = ''\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaAbstractDataBase, cls).dopostinit(_obj, *args, **kwargs)\n\n        # Either set by subclass or the parameter or use the dataname (ticker)\n        _obj._name = _obj._name or _obj.p.name\n        if not _obj._name and isinstance(_obj.p.dataname, string_types):\n            _obj._name = _obj.p.dataname\n        _obj._compression = _obj.p.compression\n        _obj._timeframe = _obj.p.timeframe\n\n        if isinstance(_obj.p.sessionstart, datetime.datetime):\n            _obj.p.sessionstart = _obj.p.sessionstart.time()\n\n        elif _obj.p.sessionstart is None:\n            _obj.p.sessionstart = datetime.time.min\n\n        if isinstance(_obj.p.sessionend, datetime.datetime):\n            _obj.p.sessionend = _obj.p.sessionend.time()\n\n        elif _obj.p.sessionend is None:\n            # remove 9 to avoid precision rounding errors\n            _obj.p.sessionend = datetime.time(23, 59, 59, 999990)\n\n        if isinstance(_obj.p.fromdate, datetime.date):\n            # push it to the end of the day, or else intraday\n            # values before the end of the day would be gone\n            if not hasattr(_obj.p.fromdate, 'hour'):\n                _obj.p.fromdate = datetime.datetime.combine(\n                    _obj.p.fromdate, _obj.p.sessionstart)\n\n        if isinstance(_obj.p.todate, datetime.date):\n            # push it to the end of the day, or else intraday\n            # values before the end of the day would be gone\n            if not hasattr(_obj.p.todate, 'hour'):\n                _obj.p.todate = datetime.datetime.combine(\n                    _obj.p.todate, _obj.p.sessionend)\n\n        _obj._barstack = collections.deque()  # for filter operations\n        _obj._barstash = collections.deque()  # for filter operations\n\n        _obj._filters = list()\n        _obj._ffilters = list()\n        for fp in _obj.p.filters:\n            if inspect.isclass(fp):\n                fp = fp(_obj)\n                if hasattr(fp, 'last'):\n                    _obj._ffilters.append((fp, [], {}))\n\n            _obj._filters.append((fp, [], {}))\n\n        return _obj, args, kwargs\n\n\nclass AbstractDataBase(with_metaclass(MetaAbstractDataBase,\n                                      dataseries.OHLCDateTime)):\n\n    params = (\n        ('dataname', None),\n        ('name', ''),\n        ('compression', 1),\n        ('timeframe', TimeFrame.Days),\n        ('fromdate', None),\n        ('todate', None),\n        ('sessionstart', None),\n        ('sessionend', None),\n        ('filters', []),\n        ('tz', None),\n        ('tzinput', None),\n        ('qcheck', 0.0),  # timeout in seconds (float) to check for events\n        ('calendar', None),\n    )\n\n    (CONNECTED, DISCONNECTED, CONNBROKEN, DELAYED,\n     LIVE, NOTSUBSCRIBED, NOTSUPPORTED_TF, UNKNOWN) = range(8)\n\n    _NOTIFNAMES = [\n        'CONNECTED', 'DISCONNECTED', 'CONNBROKEN', 'DELAYED',\n        'LIVE', 'NOTSUBSCRIBED', 'NOTSUPPORTED_TIMEFRAME', 'UNKNOWN']\n\n    @classmethod\n    def _getstatusname(cls, status):\n        return cls._NOTIFNAMES[status]\n\n    _compensate = None\n    _feed = None\n    _store = None\n\n    _clone = False\n    _qcheck = 0.0\n\n    _tmoffset = datetime.timedelta()\n\n    # Set to non 0 if resampling/replaying\n    resampling = 0\n    replaying = 0\n\n    _started = False\n\n    def _start_finish(self):\n        # A live feed (for example) may have learnt something about the\n        # timezones after the start and that's why the date/time related\n        # parameters are converted at this late stage\n        # Get the output timezone (if any)\n        self._tz = self._gettz()\n        # Lines have already been create, set the tz\n        self.lines.datetime._settz(self._tz)\n\n        # This should probably be also called from an override-able method\n        self._tzinput = bt.utils.date.Localizer(self._gettzinput())\n\n        # Convert user input times to the output timezone (or min/max)\n        if self.p.fromdate is None:\n            self.fromdate = float('-inf')\n        else:\n            self.fromdate = self.date2num(self.p.fromdate)\n\n        if self.p.todate is None:\n            self.todate = float('inf')\n        else:\n            self.todate = self.date2num(self.p.todate)\n\n        # FIXME: These two are never used and could be removed\n        self.sessionstart = time2num(self.p.sessionstart)\n        self.sessionend = time2num(self.p.sessionend)\n\n        self._calendar = cal = self.p.calendar\n        if cal is None:\n            self._calendar = self._env._tradingcal\n        elif isinstance(cal, string_types):\n            self._calendar = PandasMarketCalendar(calendar=cal)\n\n        self._started = True\n\n    def _start(self):\n        self.start()\n\n        if not self._started:\n            self._start_finish()\n\n    def _timeoffset(self):\n        return self._tmoffset\n\n    def _getnexteos(self):\n        '''Returns the next eos using a trading calendar if available'''\n        if self._clone:\n            return self.data._getnexteos()\n\n        if not len(self):\n            return datetime.datetime.min, 0.0\n\n        dt = self.lines.datetime[0]\n        dtime = num2date(dt)\n        if self._calendar is None:\n            nexteos = datetime.datetime.combine(dtime, self.p.sessionend)\n            nextdteos = self.date2num(nexteos)  # locl'ed -> utc-like\n            nexteos = num2date(nextdteos)  # utc\n            while dtime > nexteos:\n                nexteos += datetime.timedelta(days=1)  # already utc-like\n\n            nextdteos = date2num(nexteos)  # -> utc-like\n\n        else:\n            # returns times in utc\n            _, nexteos = self._calendar.schedule(dtime, self._tz)\n            nextdteos = date2num(nexteos)  # nextos is already utc\n\n        return nexteos, nextdteos\n\n    def _gettzinput(self):\n        '''Can be overriden by classes to return a timezone for input'''\n        return tzparse(self.p.tzinput)\n\n    def _gettz(self):\n        '''To be overriden by subclasses which may auto-calculate the\n        timezone'''\n        return tzparse(self.p.tz)\n\n    def date2num(self, dt):\n        if self._tz is not None:\n            return date2num(self._tz.localize(dt))\n\n        return date2num(dt)\n\n    def num2date(self, dt=None, tz=None, naive=True):\n        if dt is None:\n            return num2date(self.lines.datetime[0], tz or self._tz, naive)\n\n        return num2date(dt, tz or self._tz, naive)\n\n    def haslivedata(self):\n        return False  # must be overriden for those that can\n\n    def do_qcheck(self, onoff, qlapse):\n        # if onoff is True the data will wait p.qcheck for incoming live data\n        # on its queue.\n        qwait = self.p.qcheck if onoff else 0.0\n        qwait = max(0.0, qwait - qlapse)\n        self._qcheck = qwait\n\n    def islive(self):\n        '''If this returns True, ``Cerebro`` will deactivate ``preload`` and\n        ``runonce`` because a live data source must be fetched tick by tick (or\n        bar by bar)'''\n        return False\n\n    def put_notification(self, status, *args, **kwargs):\n        '''Add arguments to notification queue'''\n        if self._laststatus != status:\n            self.notifs.append((status, args, kwargs))\n            self._laststatus = status\n\n    def get_notifications(self):\n        '''Return the pending \"store\" notifications'''\n        # The background thread could keep on adding notifications. The None\n        # mark allows to identify which is the last notification to deliver\n        self.notifs.append(None)  # put a mark\n        notifs = list()\n        while True:\n            notif = self.notifs.popleft()\n            if notif is None:  # mark is reached\n                break\n            notifs.append(notif)\n\n        return notifs\n\n    def getfeed(self):\n        return self._feed\n\n    def qbuffer(self, savemem=0, replaying=False):\n        extrasize = self.resampling or replaying\n        for line in self.lines:\n            line.qbuffer(savemem=savemem, extrasize=extrasize)\n\n    def start(self):\n        self._barstack = collections.deque()\n        self._barstash = collections.deque()\n        self._laststatus = self.CONNECTED\n\n    def stop(self):\n        pass\n\n    def clone(self, **kwargs):\n        return DataClone(dataname=self, **kwargs)\n\n    def copyas(self, _dataname, **kwargs):\n        d = DataClone(dataname=self, **kwargs)\n        d._dataname = _dataname\n        d._name = _dataname\n        return d\n\n    def setenvironment(self, env):\n        '''Keep a reference to the environment'''\n        self._env = env\n\n    def getenvironment(self):\n        return self._env\n\n    def addfilter_simple(self, f, *args, **kwargs):\n        fp = SimpleFilterWrapper(self, f, *args, **kwargs)\n        self._filters.append((fp, fp.args, fp.kwargs))\n\n    def addfilter(self, p, *args, **kwargs):\n        if inspect.isclass(p):\n            pobj = p(self, *args, **kwargs)\n            self._filters.append((pobj, [], {}))\n\n            if hasattr(pobj, 'last'):\n                self._ffilters.append((pobj, [], {}))\n\n        else:\n            self._filters.append((p, args, kwargs))\n\n    def compensate(self, other):\n        '''Call it to let the broker know that actions on this asset will\n        compensate open positions in another'''\n\n        self._compensate = other\n\n    def _tick_nullify(self):\n        # These are the updating prices in case the new bar is \"updated\"\n        # and the length doesn't change like if a replay is happening or\n        # a real-time data feed is in use and 1 minutes bars are being\n        # constructed with 5 seconds updates\n        for lalias in self.getlinealiases():\n            if lalias != 'datetime':\n                setattr(self, 'tick_' + lalias, None)\n\n        self.tick_last = None\n\n    def _tick_fill(self, force=False):\n        # If nothing filled the tick_xxx attributes, the bar is the tick\n        alias0 = self._getlinealias(0)\n        if force or getattr(self, 'tick_' + alias0, None) is None:\n            for lalias in self.getlinealiases():\n                if lalias != 'datetime':\n                    setattr(self, 'tick_' + lalias,\n                            getattr(self.lines, lalias)[0])\n\n            self.tick_last = getattr(self.lines, alias0)[0]\n\n    def advance_peek(self):\n        if len(self) < self.buflen():\n            return self.lines.datetime[1]  # return the future\n\n        return float('inf')  # max date else\n\n    def advance(self, size=1, datamaster=None, ticks=True):\n        if ticks:\n            self._tick_nullify()\n\n        # Need intercepting this call to support datas with\n        # different lengths (timeframes)\n        self.lines.advance(size)\n\n        if datamaster is not None:\n            if len(self) > self.buflen():\n                # if no bar can be delivered, fill with an empty bar\n                self.rewind()\n                self.lines.forward()\n                return\n\n            if self.lines.datetime[0] > datamaster.lines.datetime[0]:\n                self.lines.rewind()\n            else:\n                if ticks:\n                    self._tick_fill()\n        elif len(self) < self.buflen():\n            # a resampler may have advance us past the last point\n            if ticks:\n                self._tick_fill()\n\n    def next(self, datamaster=None, ticks=True):\n\n        if len(self) >= self.buflen():\n            if ticks:\n                self._tick_nullify()\n\n            # not preloaded - request next bar\n            ret = self.load()\n            if not ret:\n                # if load cannot produce bars - forward the result\n                return ret\n\n            if datamaster is None:\n                # bar is there and no master ... return load's result\n                if ticks:\n                    self._tick_fill()\n                return ret\n        else:\n            self.advance(ticks=ticks)\n\n        # a bar is \"loaded\" or was preloaded - index has been moved to it\n        if datamaster is not None:\n            # there is a time reference to check against\n            if self.lines.datetime[0] > datamaster.lines.datetime[0]:\n                # can't deliver new bar, too early, go back\n                self.rewind()\n                return False\n            else:\n                if ticks:\n                    self._tick_fill()\n\n        else:\n            if ticks:\n                self._tick_fill()\n\n        # tell the world there is a bar (either the new or the previous\n        return True\n\n    def preload(self):\n        while self.load():\n            pass\n\n        self._last()\n        self.home()\n\n    def _last(self, datamaster=None):\n        # Last chance for filters to deliver something\n        ret = 0\n        for ff, fargs, fkwargs in self._ffilters:\n            ret += ff.last(self, *fargs, **fkwargs)\n\n        doticks = False\n        if datamaster is not None and self._barstack:\n            doticks = True\n\n        while self._fromstack(forward=True):\n            # consume bar(s) produced by \"last\"s - adding room\n            pass\n\n        if doticks:\n            self._tick_fill()\n\n        return bool(ret)\n\n    def _check(self, forcedata=None):\n        ret = 0\n        for ff, fargs, fkwargs in self._filters:\n            if not hasattr(ff, 'check'):\n                continue\n            ff.check(self, _forcedata=forcedata, *fargs, **fkwargs)\n\n    def load(self):\n        while True:\n            # move data pointer forward for new bar\n            self.forward()\n\n            if self._fromstack():  # bar is available\n                return True\n\n            if not self._fromstack(stash=True):\n                _loadret = self._load()\n                if not _loadret:  # no bar use force to make sure in exactbars\n                    # the pointer is undone this covers especially (but not\n                    # uniquely) the case in which the last bar has been seen\n                    # and a backwards would ruin pointer accounting in the\n                    # \"stop\" method of the strategy\n                    self.backwards(force=True)  # undo data pointer\n\n                    # return the actual returned value which may be None to\n                    # signal no bar is available, but the data feed is not\n                    # done. False means game over\n                    return _loadret\n\n            # Get a reference to current loaded time\n            dt = self.lines.datetime[0]\n\n            # A bar has been loaded, adapt the time\n            if self._tzinput:\n                # Input has been converted at face value but it's not UTC in\n                # the input stream\n                dtime = num2date(dt)  # get it in a naive datetime\n                # localize it\n                dtime = self._tzinput.localize(dtime)  # pytz compatible-ized\n                self.lines.datetime[0] = dt = date2num(dtime)  # keep UTC val\n\n            # Check standard date from/to filters\n            if dt < self.fromdate:\n                # discard loaded bar and carry on\n                self.backwards()\n                continue\n            if dt > self.todate:\n                # discard loaded bar and break out\n                self.backwards(force=True)\n                break\n\n            # Pass through filters\n            retff = False\n            for ff, fargs, fkwargs in self._filters:\n                # previous filter may have put things onto the stack\n                if self._barstack:\n                    for i in range(len(self._barstack)):\n                        self._fromstack(forward=True)\n                        retff = ff(self, *fargs, **fkwargs)\n                else:\n                    retff = ff(self, *fargs, **fkwargs)\n\n                if retff:  # bar removed from systemn\n                    break  # out of the inner loop\n\n            if retff:  # bar removed from system - loop to get new bar\n                continue  # in the greater loop\n\n            # Checks let the bar through ... notify it\n            return True\n\n        # Out of the loop ... no more bars or past todate\n        return False\n\n    def _load(self):\n        return False\n\n    def _add2stack(self, bar, stash=False):\n        '''Saves given bar (list of values) to the stack for later retrieval'''\n        if not stash:\n            self._barstack.append(bar)\n        else:\n            self._barstash.append(bar)\n\n    def _save2stack(self, erase=False, force=False, stash=False):\n        '''Saves current bar to the bar stack for later retrieval\n\n        Parameter ``erase`` determines removal from the data stream\n        '''\n        bar = [line[0] for line in self.itersize()]\n        if not stash:\n            self._barstack.append(bar)\n        else:\n            self._barstash.append(bar)\n\n        if erase:  # remove bar if requested\n            self.backwards(force=force)\n\n    def _updatebar(self, bar, forward=False, ago=0):\n        '''Load a value from the stack onto the lines to form the new bar\n\n        Returns True if values are present, False otherwise\n        '''\n        if forward:\n            self.forward()\n\n        for line, val in zip(self.itersize(), bar):\n            line[0 + ago] = val\n\n    def _fromstack(self, forward=False, stash=False):\n        '''Load a value from the stack onto the lines to form the new bar\n\n        Returns True if values are present, False otherwise\n        '''\n\n        coll = self._barstack if not stash else self._barstash\n\n        if coll:\n            if forward:\n                self.forward()\n\n            for line, val in zip(self.itersize(), coll.popleft()):\n                line[0] = val\n\n            return True\n\n        return False\n\n    def resample(self, **kwargs):\n        self.addfilter(Resampler, **kwargs)\n\n    def replay(self, **kwargs):\n        self.addfilter(Replayer, **kwargs)\n\n\nclass DataBase(AbstractDataBase):\n    pass\n\n\nclass FeedBase(with_metaclass(metabase.MetaParams, object)):\n    params = () + DataBase.params._gettuple()\n\n    def __init__(self):\n        self.datas = list()\n\n    def start(self):\n        for data in self.datas:\n            data.start()\n\n    def stop(self):\n        for data in self.datas:\n            data.stop()\n\n    def getdata(self, dataname, name=None, **kwargs):\n        for pname, pvalue in self.p._getitems():\n            kwargs.setdefault(pname, getattr(self.p, pname))\n\n        kwargs['dataname'] = dataname\n        data = self._getdata(**kwargs)\n\n        data._name = name\n\n        self.datas.append(data)\n        return data\n\n    def _getdata(self, dataname, **kwargs):\n        for pname, pvalue in self.p._getitems():\n            kwargs.setdefault(pname, getattr(self.p, pname))\n\n        kwargs['dataname'] = dataname\n        return self.DataCls(**kwargs)\n\n\nclass MetaCSVDataBase(DataBase.__class__):\n    def dopostinit(cls, _obj, *args, **kwargs):\n        # Before going to the base class to make sure it overrides the default\n        if not _obj.p.name and not _obj._name:\n            _obj._name, _ = os.path.splitext(os.path.basename(_obj.p.dataname))\n\n        _obj, args, kwargs = \\\n            super(MetaCSVDataBase, cls).dopostinit(_obj, *args, **kwargs)\n\n        return _obj, args, kwargs\n\n\nclass CSVDataBase(with_metaclass(MetaCSVDataBase, DataBase)):\n    '''\n    Base class for classes implementing CSV DataFeeds\n\n    The class takes care of opening the file, reading the lines and\n    tokenizing them.\n\n    Subclasses do only need to override:\n\n      - _loadline(tokens)\n\n    The return value of ``_loadline`` (True/False) will be the return value\n    of ``_load`` which has been overriden by this base class\n    '''\n\n    f = None\n    params = (('headers', True), ('separator', ','),)\n\n    def start(self):\n        super(CSVDataBase, self).start()\n\n        if self.f is None:\n            if hasattr(self.p.dataname, 'readline'):\n                self.f = self.p.dataname\n            else:\n                # Let an exception propagate to let the caller know\n                self.f = io.open(self.p.dataname, 'r')\n\n        if self.p.headers:\n            self.f.readline()  # skip the headers\n\n        self.separator = self.p.separator\n\n    def stop(self):\n        super(CSVDataBase, self).stop()\n        if self.f is not None:\n            self.f.close()\n            self.f = None\n\n    def preload(self):\n        while self.load():\n            pass\n\n        self._last()\n        self.home()\n\n        # preloaded - no need to keep the object around - breaks multip in 3.x\n        self.f.close()\n        self.f = None\n\n    def _load(self):\n        if self.f is None:\n            return False\n\n        # Let an exception propagate to let the caller know\n        line = self.f.readline()\n\n        if not line:\n            return False\n\n        line = line.rstrip('\\n')\n        linetokens = line.split(self.separator)\n        return self._loadline(linetokens)\n\n    def _getnextline(self):\n        if self.f is None:\n            return None\n\n        # Let an exception propagate to let the caller know\n        line = self.f.readline()\n\n        if not line:\n            return None\n\n        line = line.rstrip('\\n')\n        linetokens = line.split(self.separator)\n        return linetokens\n\n\nclass CSVFeedBase(FeedBase):\n    params = (('basepath', ''),) + CSVDataBase.params._gettuple()\n\n    def _getdata(self, dataname, **kwargs):\n        return self.DataCls(dataname=self.p.basepath + dataname,\n                            **self.p._getkwargs())\n\n\nclass DataClone(AbstractDataBase):\n    _clone = True\n\n    def __init__(self):\n        self.data = self.p.dataname\n        self._dataname = self.data._dataname\n\n        # Copy date/session parameters\n        self.p.fromdate = self.p.fromdate\n        self.p.todate = self.p.todate\n        self.p.sessionstart = self.data.p.sessionstart\n        self.p.sessionend = self.data.p.sessionend\n\n        self.p.timeframe = self.data.p.timeframe\n        self.p.compression = self.data.p.compression\n\n    def _start(self):\n        # redefine to copy data bits from guest data\n        self.start()\n\n        # Copy tz infos\n        self._tz = self.data._tz\n        self.lines.datetime._settz(self._tz)\n\n        self._calendar = self.data._calendar\n\n        # input has already been converted by guest data\n        self._tzinput = None  # no need to further converr\n\n        # Copy dates/session infos\n        self.fromdate = self.data.fromdate\n        self.todate = self.data.todate\n\n        # FIXME: if removed from guest, remove here too\n        self.sessionstart = self.data.sessionstart\n        self.sessionend = self.data.sessionend\n\n    def start(self):\n        super(DataClone, self).start()\n        self._dlen = 0\n        self._preloading = False\n\n    def preload(self):\n        self._preloading = True\n        super(DataClone, self).preload()\n        self.data.home()  # preloading data was pushed forward\n        self._preloading = False\n\n    def _load(self):\n        # assumption: the data is in the system\n        # simply copy the lines\n        if self._preloading:\n            # data is preloaded, we are preloading too, can move\n            # forward until have full bar or data source is exhausted\n            self.data.advance()\n            if len(self.data) > self.data.buflen():\n                return False\n\n            for line, dline in zip(self.lines, self.data.lines):\n                line[0] = dline[0]\n\n            return True\n\n        # Not preloading\n        if not (len(self.data) > self._dlen):\n            # Data not beyond last seen bar\n            return False\n\n        self._dlen += 1\n\n        for line, dline in zip(self.lines, self.data.lines):\n            line[0] = dline[0]\n\n        return True\n\n    def advance(self, size=1, datamaster=None, ticks=True):\n        self._dlen += size\n        super(DataClone, self).advance(size, datamaster, ticks=ticks)\n"
  },
  {
    "path": "backtrader/feeds/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .csvgeneric import *\nfrom .btcsv import *\nfrom .vchartcsv import *\nfrom .vchart import *\nfrom .yahoo import *\nfrom .quandl import *\nfrom .sierrachart import *\nfrom .mt4csv import *\nfrom .pandafeed import *\nfrom .influxfeed import *\ntry:\n    from .ibdata import *\nexcept ImportError:\n    pass  # The user may not have ibpy installed\n\ntry:\n    from .vcdata import *\nexcept ImportError:\n    pass  # The user may not have something installed\n\ntry:\n    from .oanda import OandaData\nexcept ImportError:\n    pass  # The user may not have something installed\n\n\nfrom .vchartfile import VChartFile\n\nfrom .rollover import RollOver\nfrom .chainer import Chainer\n"
  },
  {
    "path": "backtrader/feeds/blaze.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom backtrader import date2num\nimport backtrader.feed as feed\n\n\nclass BlazeData(feed.DataBase):\n    '''\n    Support for `Blaze <blaze.pydata.org>`_ ``Data`` objects.\n\n    Only numeric indices to columns are supported.\n\n    Note:\n\n      - The ``dataname`` parameter is a blaze ``Data`` object\n\n      - A negative value in any of the parameters for the Data lines\n        indicates it's not present in the DataFrame\n        it is\n    '''\n\n    params = (\n        # datetime must be present\n        ('datetime', 0),\n        # pass -1 for any of the following to indicate absence\n        ('open', 1),\n        ('high', 2),\n        ('low', 3),\n        ('close', 4),\n        ('volume', 5),\n        ('openinterest', 6),\n    )\n\n    datafields = [\n        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'\n    ]\n\n    def start(self):\n        super(BlazeData, self).start()\n\n        # reset the iterator on each start\n        self._rows = iter(self.p.dataname)\n\n    def _load(self):\n        try:\n            row = next(self._rows)\n        except StopIteration:\n            return False\n\n        # Set the standard datafields - except for datetime\n        for datafield in self.datafields[1:]:\n            # get the column index\n            colidx = getattr(self.params, datafield)\n\n            if colidx < 0:\n                # column not present -- skip\n                continue\n\n            # get the line to be set\n            line = getattr(self.lines, datafield)\n            line[0] = row[colidx]\n\n        # datetime - assumed blaze always serves a native datetime.datetime\n        colidx = getattr(self.params, self.datafields[0])\n        dt = row[colidx]\n        dtnum = date2num(dt)\n\n        # get the line to be set\n        line = getattr(self.lines, self.datafields[0])\n        line[0] = dtnum\n\n        # Done ... return\n        return True\n"
  },
  {
    "path": "backtrader/feeds/btcsv.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import date, datetime, time\n\nfrom .. import feed\nfrom ..utils import date2num\n\n\nclass BacktraderCSVData(feed.CSVDataBase):\n    '''\n    Parses a self-defined CSV Data used for testing.\n\n    Specific parameters:\n\n      - ``dataname``: The filename to parse or a file-like object\n    '''\n\n    def _loadline(self, linetokens):\n        itoken = iter(linetokens)\n\n        dttxt = next(itoken)  # Format is YYYY-MM-DD - skip char 4 and 7\n        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))\n\n        if len(linetokens) == 8:\n            tmtxt = next(itoken)  # Format if present HH:MM:SS, skip 3 and 6\n            tm = time(int(tmtxt[0:2]), int(tmtxt[3:5]), int(tmtxt[6:8]))\n        else:\n            tm = self.p.sessionend  # end of the session parameter\n\n        self.lines.datetime[0] = date2num(datetime.combine(dt, tm))\n        self.lines.open[0] = float(next(itoken))\n        self.lines.high[0] = float(next(itoken))\n        self.lines.low[0] = float(next(itoken))\n        self.lines.close[0] = float(next(itoken))\n        self.lines.volume[0] = float(next(itoken))\n        self.lines.openinterest[0] = float(next(itoken))\n\n        return True\n\n\nclass BacktraderCSV(feed.CSVFeedBase):\n    DataCls = BacktraderCSVData\n"
  },
  {
    "path": "backtrader/feeds/chainer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom datetime import datetime\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import range\n\n\nclass MetaChainer(bt.DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaChainer, cls).__init__(name, bases, dct)\n\n    def donew(cls, *args, **kwargs):\n        '''Intercept const. to copy timeframe/compression from 1st data'''\n        # Create the object and set the params in place\n        _obj, args, kwargs = super(MetaChainer, cls).donew(*args, **kwargs)\n\n        if args:\n            _obj.p.timeframe = args[0]._timeframe\n            _obj.p.compression = args[0]._compression\n\n        return _obj, args, kwargs\n\n\nclass Chainer(bt.with_metaclass(MetaChainer, bt.DataBase)):\n    '''Class that chains datas'''\n\n    def islive(self):\n        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce\n        should be deactivated'''\n        return True\n\n    def __init__(self, *args):\n        self._args = args\n\n    def start(self):\n        super(Chainer, self).start()\n        for d in self._args:\n            d.setenvironment(self._env)\n            d._start()\n\n        # put the references in a separate list to have pops\n        self._ds = list(self._args)\n        self._d = self._ds.pop(0) if self._ds else None\n        self._lastdt = datetime.min\n\n    def stop(self):\n        super(Chainer, self).stop()\n        for d in self._args:\n            d.stop()\n\n    def get_notifications(self):\n        return [] if self._d is None else self._d.get_notifications()\n\n    def _gettz(self):\n        '''To be overriden by subclasses which may auto-calculate the\n        timezone'''\n        if self._args:\n            return self._args[0]._gettz()\n        return bt.utils.date.Localizer(self.p.tz)\n\n    def _load(self):\n        while self._d is not None:\n            if not self._d.next():  # no values from current data source\n                self._d = self._ds.pop(0) if self._ds else None\n                continue\n\n            # Cannot deliver a date equal or less than an alredy delivered\n            dt = self._d.datetime.datetime()\n            if dt <= self._lastdt:\n                continue\n\n            self._lastdt = dt\n\n            for i in range(self._d.size()):\n                self.lines[i][0] = self._d.lines[i][0]\n\n            return True\n\n        # Out of the loop -> self._d is None, no data feed to return from\n        return False\n"
  },
  {
    "path": "backtrader/feeds/csvgeneric.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import datetime\nimport itertools\n\nfrom .. import feed, TimeFrame\nfrom ..utils import date2num\nfrom ..utils.py3 import integer_types, string_types\n\n\nclass GenericCSVData(feed.CSVDataBase):\n    '''Parses a CSV file according to the order and field presence defined by the\n    parameters\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``: The filename to parse or a file-like object\n\n      - The lines parameters (datetime, open, high ...) take numeric values\n\n        A value of -1 indicates absence of that field in the CSV source\n\n      - If ``time`` is present (parameter time >=0) the source contains\n        separated fields for date and time, which will be combined\n\n      - ``nullvalue``\n\n        Value that will be used if a value which should be there is missing\n        (the CSV field is empty)\n\n      - ``dtformat``: Format used to parse the datetime CSV field. See the\n        python strptime/strftime documentation for the format.\n\n        If a numeric value is specified, it will be interpreted as follows\n\n          - ``1``: The value is a Unix timestamp of type ``int`` representing\n            the number of seconds since Jan 1st, 1970\n\n          - ``2``: The value is a Unix timestamp of type ``float``\n\n        If a **callable** is passed\n\n          - it will accept a string and return a `datetime.datetime` python\n            instance\n\n      - ``tmformat``: Format used to parse the time CSV field if \"present\"\n        (the default for the \"time\" CSV field is not to be present)\n\n    '''\n\n    params = (\n        ('nullvalue', float('NaN')),\n        ('dtformat', '%Y-%m-%d %H:%M:%S'),\n        ('tmformat', '%H:%M:%S'),\n\n        ('datetime', 0),\n        ('time', -1),\n        ('open', 1),\n        ('high', 2),\n        ('low', 3),\n        ('close', 4),\n        ('volume', 5),\n        ('openinterest', 6),\n    )\n\n    def start(self):\n        super(GenericCSVData, self).start()\n\n        self._dtstr = False\n        if isinstance(self.p.dtformat, string_types):\n            self._dtstr = True\n        elif isinstance(self.p.dtformat, integer_types):\n            idt = int(self.p.dtformat)\n            if idt == 1:\n                self._dtconvert = lambda x: datetime.utcfromtimestamp(int(x))\n            elif idt == 2:\n                self._dtconvert = lambda x: datetime.utcfromtimestamp(float(x))\n\n        else:  # assume callable\n            self._dtconvert = self.p.dtformat\n\n    def _loadline(self, linetokens):\n        # Datetime needs special treatment\n        dtfield = linetokens[self.p.datetime]\n        if self._dtstr:\n            dtformat = self.p.dtformat\n\n            if self.p.time >= 0:\n                # add time value and format if it's in a separate field\n                dtfield += 'T' + linetokens[self.p.time]\n                dtformat += 'T' + self.p.tmformat\n\n            dt = datetime.strptime(dtfield, dtformat)\n        else:\n            dt = self._dtconvert(dtfield)\n\n        if self.p.timeframe >= TimeFrame.Days:\n            # check if the expected end of session is larger than parsed\n            if self._tzinput:\n                dtin = self._tzinput.localize(dt)  # pytz compatible-ized\n            else:\n                dtin = dt\n\n            dtnum = date2num(dtin)  # utc'ize\n\n            dteos = datetime.combine(dt.date(), self.p.sessionend)\n            dteosnum = self.date2num(dteos)  # utc'ize\n\n            if dteosnum > dtnum:\n                self.lines.datetime[0] = dteosnum\n            else:\n                # Avoid reconversion if already converted dtin == dt\n                self.l.datetime[0] = date2num(dt) if self._tzinput else dtnum\n        else:\n            self.lines.datetime[0] = date2num(dt)\n\n        # The rest of the fields can be done with the same procedure\n        for linefield in (x for x in self.getlinealiases() if x != 'datetime'):\n            # Get the index created from the passed params\n            csvidx = getattr(self.params, linefield)\n\n            if csvidx is None or csvidx < 0:\n                # the field will not be present, assignt the \"nullvalue\"\n                csvfield = self.p.nullvalue\n            else:\n                # get it from the token\n                csvfield = linetokens[csvidx]\n\n            if csvfield == '':\n                # if empty ... assign the \"nullvalue\"\n                csvfield = self.p.nullvalue\n\n            # get the corresponding line reference and set the value\n            line = getattr(self.lines, linefield)\n            line[0] = float(float(csvfield))\n\n        return True\n\n\nclass GenericCSV(feed.CSVFeedBase):\n    DataCls = GenericCSVData\n"
  },
  {
    "path": "backtrader/feeds/ibdata.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\nimport backtrader as bt\nfrom backtrader.feed import DataBase\nfrom backtrader import TimeFrame, date2num, num2date\nfrom backtrader.utils.py3 import (integer_types, queue, string_types,\n                                  with_metaclass)\nfrom backtrader.metabase import MetaParams\nfrom backtrader.stores import ibstore\n\n\nclass MetaIBData(DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaIBData, cls).__init__(name, bases, dct)\n\n        # Register with the store\n        ibstore.IBStore.DataCls = cls\n\n\nclass IBData(with_metaclass(MetaIBData, DataBase)):\n    '''Interactive Brokers Data Feed.\n\n    Supports the following contract specifications in parameter ``dataname``:\n\n          - TICKER  # Stock type and SMART exchange\n          - TICKER-STK  # Stock and SMART exchange\n          - TICKER-STK-EXCHANGE  # Stock\n          - TICKER-STK-EXCHANGE-CURRENCY  # Stock\n\n          - TICKER-CFD  # CFD and SMART exchange\n          - TICKER-CFD-EXCHANGE  # CFD\n          - TICKER-CDF-EXCHANGE-CURRENCY  # Stock\n\n          - TICKER-IND-EXCHANGE  # Index\n          - TICKER-IND-EXCHANGE-CURRENCY  # Index\n\n          - TICKER-YYYYMM-EXCHANGE  # Future\n          - TICKER-YYYYMM-EXCHANGE-CURRENCY  # Future\n          - TICKER-YYYYMM-EXCHANGE-CURRENCY-MULT  # Future\n          - TICKER-FUT-EXCHANGE-CURRENCY-YYYYMM-MULT # Future\n\n          - TICKER-YYYYMM-EXCHANGE-CURRENCY-STRIKE-RIGHT  # FOP\n          - TICKER-YYYYMM-EXCHANGE-CURRENCY-STRIKE-RIGHT-MULT  # FOP\n          - TICKER-FOP-EXCHANGE-CURRENCY-YYYYMM-STRIKE-RIGHT # FOP\n          - TICKER-FOP-EXCHANGE-CURRENCY-YYYYMM-STRIKE-RIGHT-MULT # FOP\n\n          - CUR1.CUR2-CASH-IDEALPRO  # Forex\n\n          - TICKER-YYYYMMDD-EXCHANGE-CURRENCY-STRIKE-RIGHT  # OPT\n          - TICKER-YYYYMMDD-EXCHANGE-CURRENCY-STRIKE-RIGHT-MULT  # OPT\n          - TICKER-OPT-EXCHANGE-CURRENCY-YYYYMMDD-STRIKE-RIGHT # OPT\n          - TICKER-OPT-EXCHANGE-CURRENCY-YYYYMMDD-STRIKE-RIGHT-MULT # OPT\n\n    Params:\n\n      - ``sectype`` (default: ``STK``)\n\n        Default value to apply as *security type* if not provided in the\n        ``dataname`` specification\n\n      - ``exchange`` (default: ``SMART``)\n\n        Default value to apply as *exchange* if not provided in the\n        ``dataname`` specification\n\n      - ``currency`` (default: ``''``)\n\n        Default value to apply as *currency* if not provided in the\n        ``dataname`` specification\n\n      - ``historical`` (default: ``False``)\n\n        If set to ``True`` the data feed will stop after doing the first\n        download of data.\n\n        The standard data feed parameters ``fromdate`` and ``todate`` will be\n        used as reference.\n\n        The data feed will make multiple requests if the requested duration is\n        larger than the one allowed by IB given the timeframe/compression\n        chosen for the data.\n\n      - ``what`` (default: ``None``)\n\n        If ``None`` the default for different assets types will be used for\n        historical data requests:\n\n          - 'BID' for CASH assets\n          - 'TRADES' for any other\n\n        Use 'ASK' for the Ask quote of cash assets\n        \n        Check the IB API docs if another value is wished\n\n      - ``rtbar`` (default: ``False``)\n\n        If ``True`` the ``5 Seconds Realtime bars`` provided by Interactive\n        Brokers will be used as the smalles tick. According to the\n        documentation they correspond to real-time values (once collated and\n        curated by IB)\n\n        If ``False`` then the ``RTVolume`` prices will be used, which are based\n        on receiving ticks. In the case of ``CASH`` assets (like for example\n        EUR.JPY) ``RTVolume`` will always be used and from it the ``bid`` price\n        (industry de-facto standard with IB according to the literature\n        scattered over the Internet)\n\n        Even if set to ``True``, if the data is resampled/kept to a\n        timeframe/compression below Seconds/5, no real time bars will be used,\n        because IB doesn't serve them below that level\n\n      - ``qcheck`` (default: ``0.5``)\n\n        Time in seconds to wake up if no data is received to give a chance to\n        resample/replay packets properly and pass notifications up the chain\n\n      - ``backfill_start`` (default: ``True``)\n\n        Perform backfilling at the start. The maximum possible historical data\n        will be fetched in a single request.\n\n      - ``backfill`` (default: ``True``)\n\n        Perform backfilling after a disconnection/reconnection cycle. The gap\n        duration will be used to download the smallest possible amount of data\n\n      - ``backfill_from`` (default: ``None``)\n\n        An additional data source can be passed to do an initial layer of\n        backfilling. Once the data source is depleted and if requested,\n        backfilling from IB will take place. This is ideally meant to backfill\n        from already stored sources like a file on disk, but not limited to.\n\n      - ``latethrough`` (default: ``False``)\n\n        If the data source is resampled/replayed, some ticks may come in too\n        late for the already delivered resampled/replayed bar. If this is\n        ``True`` those ticks will bet let through in any case.\n\n        Check the Resampler documentation to see who to take those ticks into\n        account.\n\n        This can happen especially if ``timeoffset`` is set to ``False``  in\n        the ``IBStore`` instance and the TWS server time is not in sync with\n        that of the local computer\n\n      - ``tradename`` (default: ``None``)\n        Useful for some specific cases like ``CFD`` in which prices are offered\n        by one asset and trading happens in a different onel\n\n        - SPY-STK-SMART-USD -> SP500 ETF (will be specified as ``dataname``)\n\n        - SPY-CFD-SMART-USD -> which is the corresponding CFD which offers not\n          price tracking but in this case will be the trading asset (specified\n          as ``tradename``)\n\n    The default values in the params are the to allow things like ```TICKER``,\n    to which the parameter ``sectype`` (default: ``STK``) and ``exchange``\n    (default: ``SMART``) are applied.\n\n    Some assets like ``AAPL`` need full specification including ``currency``\n    (default: '') whereas others like ``TWTR`` can be simply passed as it is.\n\n      - ``AAPL-STK-SMART-USD`` would be the full specification for dataname\n\n        Or else: ``IBData`` as ``IBData(dataname='AAPL', currency='USD')``\n        which uses the default values (``STK`` and ``SMART``) and overrides\n        the currency to be ``USD``\n    '''\n    params = (\n        ('sectype', 'STK'),  # usual industry value\n        ('exchange', 'SMART'),  # usual industry value\n        ('currency', ''),\n        ('rtbar', False),  # use RealTime 5 seconds bars\n        ('historical', False),  # only historical download\n        ('what', None),  # historical - what to show\n        ('useRTH', False),  # historical - download only Regular Trading Hours\n        ('qcheck', 0.5),  # timeout in seconds (float) to check for events\n        ('backfill_start', True),  # do backfilling at the start\n        ('backfill', True),  # do backfilling when reconnecting\n        ('backfill_from', None),  # additional data source to do backfill from\n        ('latethrough', False),  # let late samples through\n        ('tradename', None),  # use a different asset as order target\n    )\n\n    _store = ibstore.IBStore\n\n    # Minimum size supported by real-time bars\n    RTBAR_MINSIZE = (TimeFrame.Seconds, 5)\n\n    # States for the Finite State Machine in _load\n    _ST_FROM, _ST_START, _ST_LIVE, _ST_HISTORBACK, _ST_OVER = range(5)\n\n    def _timeoffset(self):\n        return self.ib.timeoffset()\n\n    def _gettz(self):\n        # If no object has been provided by the user and a timezone can be\n        # found via contractdtails, then try to get it from pytz, which may or\n        # may not be available.\n\n        # The timezone specifications returned by TWS seem to be abbreviations\n        # understood by pytz, but the full list which TWS may return is not\n        # documented and one of the abbreviations may fail\n        tzstr = isinstance(self.p.tz, string_types)\n        if self.p.tz is not None and not tzstr:\n            return bt.utils.date.Localizer(self.p.tz)\n\n        if self.contractdetails is None:\n            return None  # nothing can be done\n\n        try:\n            import pytz  # keep the import very local\n        except ImportError:\n            return None  # nothing can be done\n\n        tzs = self.p.tz if tzstr else self.contractdetails.m_timeZoneId\n\n        if tzs == 'CST':  # reported by TWS, not compatible with pytz. patch it\n            tzs = 'CST6CDT'\n\n        try:\n            tz = pytz.timezone(tzs)\n        except pytz.UnknownTimeZoneError:\n            return None  # nothing can be done\n\n        # contractdetails there, import ok, timezone found, return it\n        return tz\n\n    def islive(self):\n        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce\n        should be deactivated'''\n        return not self.p.historical\n\n    def __init__(self, **kwargs):\n        self.ib = self._store(**kwargs)\n        self.precontract = self.parsecontract(self.p.dataname)\n        self.pretradecontract = self.parsecontract(self.p.tradename)\n\n    def setenvironment(self, env):\n        '''Receives an environment (cerebro) and passes it over to the store it\n        belongs to'''\n        super(IBData, self).setenvironment(env)\n        env.addstore(self.ib)\n\n    def parsecontract(self, dataname):\n        '''Parses dataname generates a default contract'''\n        # Set defaults for optional tokens in the ticker string\n        if dataname is None:\n            return None\n\n        exch = self.p.exchange\n        curr = self.p.currency\n        expiry = ''\n        strike = 0.0\n        right = ''\n        mult = ''\n\n        # split the ticker string\n        tokens = iter(dataname.split('-'))\n\n        # Symbol and security type are compulsory\n        symbol = next(tokens)\n        try:\n            sectype = next(tokens)\n        except StopIteration:\n            sectype = self.p.sectype\n\n        # security type can be an expiration date\n        if sectype.isdigit():\n            expiry = sectype  # save the expiration ate\n\n            if len(sectype) == 6:  # YYYYMM\n                sectype = 'FUT'\n            else:  # Assume OPTIONS - YYYYMMDD\n                sectype = 'OPT'\n\n        if sectype == 'CASH':  # need to address currency for Forex\n            symbol, curr = symbol.split('.')\n\n        # See if the optional tokens were provided\n        try:\n            exch = next(tokens)  # on exception it will be the default\n            curr = next(tokens)  # on exception it will be the default\n\n            if sectype == 'FUT':\n                if not expiry:\n                    expiry = next(tokens)\n                mult = next(tokens)\n\n                # Try to see if this is FOP - Futures on OPTIONS\n                right = next(tokens)\n                # if still here this is a FOP and not a FUT\n                sectype = 'FOP'\n                strike, mult = float(mult), ''  # assign to strike and void\n\n                mult = next(tokens)  # try again to see if there is any\n\n            elif sectype == 'OPT':\n                if not expiry:\n                    expiry = next(tokens)\n                strike = float(next(tokens))  # on exception - default\n                right = next(tokens)  # on exception it will be the default\n\n                mult = next(tokens)  # ?? no harm in any case\n\n        except StopIteration:\n            pass\n\n        # Make the initial contract\n        precon = self.ib.makecontract(\n            symbol=symbol, sectype=sectype, exch=exch, curr=curr,\n            expiry=expiry, strike=strike, right=right, mult=mult)\n\n        return precon\n\n    def start(self):\n        '''Starts the IB connecction and gets the real contract and\n        contractdetails if it exists'''\n        super(IBData, self).start()\n        # Kickstart store and get queue to wait on\n        self.qlive = self.ib.start(data=self)\n        self.qhist = None\n\n        self._usertvol = not self.p.rtbar\n        tfcomp = (self._timeframe, self._compression)\n        if tfcomp < self.RTBAR_MINSIZE:\n            # Requested timeframe/compression not supported by rtbars\n            self._usertvol = True\n\n        self.contract = None\n        self.contractdetails = None\n        self.tradecontract = None\n        self.tradecontractdetails = None\n\n        if self.p.backfill_from is not None:\n            self._state = self._ST_FROM\n            self.p.backfill_from.setenvironment(self._env)\n            self.p.backfill_from._start()\n        else:\n            self._state = self._ST_START  # initial state for _load\n        self._statelivereconn = False  # if reconnecting in live state\n        self._subcription_valid = False  # subscription state\n        self._storedmsg = dict()  # keep pending live message (under None)\n\n        if not self.ib.connected():\n            return\n\n        self.put_notification(self.CONNECTED)\n        # get real contract details with real conId (contractId)\n        cds = self.ib.getContractDetails(self.precontract, maxcount=1)\n        if cds is not None:\n            cdetails = cds[0]\n            self.contract = cdetails.contractDetails.m_summary\n            self.contractdetails = cdetails.contractDetails\n        else:\n            # no contract can be found (or many)\n            self.put_notification(self.DISCONNECTED)\n            return\n\n        if self.pretradecontract is None:\n            # no different trading asset - default to standard asset\n            self.tradecontract = self.contract\n            self.tradecontractdetails = self.contractdetails\n        else:\n            # different target asset (typical of some CDS products)\n            # use other set of details\n            cds = self.ib.getContractDetails(self.pretradecontract, maxcount=1)\n            if cds is not None:\n                cdetails = cds[0]\n                self.tradecontract = cdetails.contractDetails.m_summary\n                self.tradecontractdetails = cdetails.contractDetails\n            else:\n                # no contract can be found (or many)\n                self.put_notification(self.DISCONNECTED)\n                return\n\n        if self._state == self._ST_START:\n            self._start_finish()  # to finish initialization\n            self._st_start()\n\n    def stop(self):\n        '''Stops and tells the store to stop'''\n        super(IBData, self).stop()\n        self.ib.stop()\n\n    def reqdata(self):\n        '''request real-time data. checks cash vs non-cash) and param useRT'''\n        if self.contract is None or self._subcription_valid:\n            return\n\n        if self._usertvol:\n            self.qlive = self.ib.reqMktData(self.contract, self.p.what)\n        else:\n            self.qlive = self.ib.reqRealTimeBars(self.contract)\n\n        self._subcription_valid = True\n        return self.qlive\n\n    def canceldata(self):\n        '''Cancels Market Data subscription, checking asset type and rtbar'''\n        if self.contract is None:\n            return\n\n        if self._usertvol:\n            self.ib.cancelMktData(self.qlive)\n        else:\n            self.ib.cancelRealTimeBars(self.qlive)\n\n    def haslivedata(self):\n        return bool(self._storedmsg or self.qlive)\n\n    def _load(self):\n        if self.contract is None or self._state == self._ST_OVER:\n            return False  # nothing can be done\n\n        while True:\n            if self._state == self._ST_LIVE:\n                try:\n                    msg = (self._storedmsg.pop(None, None) or\n                           self.qlive.get(timeout=self._qcheck))\n                except queue.Empty:\n                    if True:\n                        return None\n\n                # Code invalidated until further checking is done\n                    if not self._statelivereconn:\n                        return None  # indicate timeout situation\n\n                    # Awaiting data and nothing came in - fake it up until now\n                    dtend = self.num2date(date2num(datetime.datetime.utcnow()))\n                    dtbegin = None\n                    if len(self) > 1:\n                        dtbegin = self.num2date(self.datetime[-1])\n\n                    self.qhist = self.ib.reqHistoricalDataEx(\n                        contract=self.contract,\n                        enddate=dtend, begindate=dtbegin,\n                        timeframe=self._timeframe,\n                        compression=self._compression,\n                        what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,\n                        sessionend=self.p.sessionend)\n\n                    if self._laststatus != self.DELAYED:\n                        self.put_notification(self.DELAYED)\n\n                    self._state = self._ST_HISTORBACK\n\n                    self._statelivereconn = False\n                    continue  # to reenter the loop and hit st_historback\n\n                if msg is None:  # Conn broken during historical/backfilling\n                    self._subcription_valid = False\n                    self.put_notification(self.CONNBROKEN)\n                    # Try to reconnect\n                    if not self.ib.reconnect(resub=True):\n                        self.put_notification(self.DISCONNECTED)\n                        return False  # failed\n\n                    self._statelivereconn = self.p.backfill\n                    continue\n\n                if msg == -354:\n                    self.put_notification(self.NOTSUBSCRIBED)\n                    return False\n\n                elif msg == -1100:  # conn broken\n                    # Tell to wait for a message to do a backfill\n                    # self._state = self._ST_DISCONN\n                    self._subcription_valid = False\n                    self._statelivereconn = self.p.backfill\n                    continue\n\n                elif msg == -1102:  # conn broken/restored tickerId maintained\n                    # The message may be duplicated\n                    if not self._statelivereconn:\n                        self._statelivereconn = self.p.backfill\n                    continue\n\n                elif msg == -1101:  # conn broken/restored tickerId gone\n                    # The message may be duplicated\n                    self._subcription_valid = False\n                    if not self._statelivereconn:\n                        self._statelivereconn = self.p.backfill\n                        self.reqdata()  # resubscribe\n                    continue\n\n                elif msg == -10225:  # Bust event occurred, current subscription is deactivated.\n                    self._subcription_valid = False\n                    if not self._statelivereconn:\n                        self._statelivereconn = self.p.backfill\n                        self.reqdata()  # resubscribe\n                    continue\n\n                elif isinstance(msg, integer_types):\n                    # Unexpected notification for historical data skip it\n                    # May be a \"not connected not yet processed\"\n                    self.put_notification(self.UNKNOWN, msg)\n                    continue\n\n                # Process the message according to expected return type\n                if not self._statelivereconn:\n                    if self._laststatus != self.LIVE:\n                        if self.qlive.qsize() <= 1:  # very short live queue\n                            self.put_notification(self.LIVE)\n\n                    if self._usertvol:\n                        ret = self._load_rtvolume(msg)\n                    else:\n                        ret = self._load_rtbar(msg)\n                    if ret:\n                        return True\n\n                    # could not load bar ... go and get new one\n                    continue\n\n                # Fall through to processing reconnect - try to backfill\n                self._storedmsg[None] = msg  # keep the msg\n\n                # else do a backfill\n                if self._laststatus != self.DELAYED:\n                    self.put_notification(self.DELAYED)\n\n                dtend = None\n                if len(self) > 1:\n                    # len == 1 ... forwarded for the 1st time\n                    # get begin date in utc-like format like msg.datetime\n                    dtbegin = num2date(self.datetime[-1])\n                elif self.fromdate > float('-inf'):\n                    dtbegin = num2date(self.fromdate)\n                else:  # 1st bar and no begin set\n                    # passing None to fetch max possible in 1 request\n                    dtbegin = None\n\n                dtend = msg.datetime if self._usertvol else msg.time\n\n                self.qhist = self.ib.reqHistoricalDataEx(\n                    contract=self.contract, enddate=dtend, begindate=dtbegin,\n                    timeframe=self._timeframe, compression=self._compression,\n                    what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,\n                    sessionend=self.p.sessionend)\n\n                self._state = self._ST_HISTORBACK\n                self._statelivereconn = False  # no longer in live\n                continue\n\n            elif self._state == self._ST_HISTORBACK:\n                msg = self.qhist.get()\n                if msg is None:  # Conn broken during historical/backfilling\n                    # Situation not managed. Simply bail out\n                    self._subcription_valid = False\n                    self.put_notification(self.DISCONNECTED)\n                    return False  # error management cancelled the queue\n\n                elif msg == -354:  # Data not subscribed\n                    self._subcription_valid = False\n                    self.put_notification(self.NOTSUBSCRIBED)\n                    return False\n\n                elif msg == -420:  # No permissions for the data\n                    self._subcription_valid = False\n                    self.put_notification(self.NOTSUBSCRIBED)\n                    return False\n\n                elif isinstance(msg, integer_types):\n                    # Unexpected notification for historical data skip it\n                    # May be a \"not connected not yet processed\"\n                    self.put_notification(self.UNKNOWN, msg)\n                    continue\n\n                if msg.date is not None:\n                    if self._load_rtbar(msg, hist=True):\n                        return True  # loading worked\n\n                    # the date is from overlapping historical request\n                    continue\n\n                # End of histdata\n                if self.p.historical:  # only historical\n                    self.put_notification(self.DISCONNECTED)\n                    return False  # end of historical\n\n                # Live is also wished - go for it\n                self._state = self._ST_LIVE\n                continue\n\n            elif self._state == self._ST_FROM:\n                if not self.p.backfill_from.next():\n                    # additional data source is consumed\n                    self._state = self._ST_START\n                    continue\n\n                # copy lines of the same name\n                for alias in self.lines.getlinealiases():\n                    lsrc = getattr(self.p.backfill_from.lines, alias)\n                    ldst = getattr(self.lines, alias)\n\n                    ldst[0] = lsrc[0]\n\n                return True\n\n            elif self._state == self._ST_START:\n                if not self._st_start():\n                    return False\n\n    def _st_start(self):\n        if self.p.historical:\n            self.put_notification(self.DELAYED)\n            dtend = None\n            if self.todate < float('inf'):\n                dtend = num2date(self.todate)\n\n            dtbegin = None\n            if self.fromdate > float('-inf'):\n                dtbegin = num2date(self.fromdate)\n\n            self.qhist = self.ib.reqHistoricalDataEx(\n                contract=self.contract, enddate=dtend, begindate=dtbegin,\n                timeframe=self._timeframe, compression=self._compression,\n                what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,\n                sessionend=self.p.sessionend)\n\n            self._state = self._ST_HISTORBACK\n            return True  # continue before\n\n        # Live is requested\n        if not self.ib.reconnect(resub=True):\n            self.put_notification(self.DISCONNECTED)\n            self._state = self._ST_OVER\n            return False  # failed - was so\n\n        self._statelivereconn = self.p.backfill_start\n        if self.p.backfill_start:\n            self.put_notification(self.DELAYED)\n\n        self._state = self._ST_LIVE\n        return True  # no return before - implicit continue\n\n    def _load_rtbar(self, rtbar, hist=False):\n        # A complete 5 second bar made of real-time ticks is delivered and\n        # contains open/high/low/close/volume prices\n        # The historical data has the same data but with 'date' instead of\n        # 'time' for datetime\n        dt = date2num(rtbar.time if not hist else rtbar.date)\n        if dt < self.lines.datetime[-1] and not self.p.latethrough:\n            return False  # cannot deliver earlier than already delivered\n\n        self.lines.datetime[0] = dt\n        # Put the tick into the bar\n        self.lines.open[0] = rtbar.open\n        self.lines.high[0] = rtbar.high\n        self.lines.low[0] = rtbar.low\n        self.lines.close[0] = rtbar.close\n        self.lines.volume[0] = rtbar.volume\n        self.lines.openinterest[0] = 0\n\n        return True\n\n    def _load_rtvolume(self, rtvol):\n        # A single tick is delivered and is therefore used for the entire set\n        # of prices. Ideally the\n        # contains open/high/low/close/volume prices\n        # Datetime transformation\n        dt = date2num(rtvol.datetime)\n        if dt < self.lines.datetime[-1] and not self.p.latethrough:\n            return False  # cannot deliver earlier than already delivered\n\n        self.lines.datetime[0] = dt\n\n        # Put the tick into the bar\n        tick = rtvol.price\n        self.lines.open[0] = tick\n        self.lines.high[0] = tick\n        self.lines.low[0] = tick\n        self.lines.close[0] = tick\n        self.lines.volume[0] = rtvol.size\n        self.lines.openinterest[0] = 0\n\n        return True\n"
  },
  {
    "path": "backtrader/feeds/influxfeed.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nimport backtrader.feed as feed\nfrom ..utils import date2num\nimport datetime as dt\n\nTIMEFRAMES = dict(\n    (\n        (bt.TimeFrame.Seconds, 's'),\n        (bt.TimeFrame.Minutes, 'm'),\n        (bt.TimeFrame.Days, 'd'),\n        (bt.TimeFrame.Weeks, 'w'),\n        (bt.TimeFrame.Months, 'm'),\n        (bt.TimeFrame.Years, 'y'),\n    )\n)\n\n\nclass InfluxDB(feed.DataBase):\n    frompackages = (\n        ('influxdb', [('InfluxDBClient', 'idbclient')]),\n        ('influxdb.exceptions', 'InfluxDBClientError')\n    )\n\n    params = (\n        ('host', '127.0.0.1'),\n        ('port', '8086'),\n        ('username', None),\n        ('password', None),\n        ('database', None),\n        ('timeframe', bt.TimeFrame.Days),\n        ('startdate', None),\n        ('high', 'high_p'),\n        ('low', 'low_p'),\n        ('open', 'open_p'),\n        ('close', 'close_p'),\n        ('volume', 'volume'),\n        ('ointerest', 'oi'),\n    )\n\n    def start(self):\n        super(InfluxDB, self).start()\n        try:\n            self.ndb = idbclient(self.p.host, self.p.port, self.p.username,\n                                 self.p.password, self.p.database)\n        except InfluxDBClientError as err:\n            print('Failed to establish connection to InfluxDB: %s' % err)\n\n        tf = '{multiple}{timeframe}'.format(\n            multiple=(self.p.compression if self.p.compression else 1),\n            timeframe=TIMEFRAMES.get(self.p.timeframe, 'd'))\n\n        if not self.p.startdate:\n            st = '<= now()'\n        else:\n            st = '>= \\'%s\\'' % self.p.startdate\n\n        # The query could already consider parameters like fromdate and todate\n        # to have the database skip them and not the internal code\n        qstr = ('SELECT mean(\"{open_f}\") AS \"open\", mean(\"{high_f}\") AS \"high\", '\n                'mean(\"{low_f}\") AS \"low\", mean(\"{close_f}\") AS \"close\", '\n                'mean(\"{vol_f}\") AS \"volume\", mean(\"{oi_f}\") AS \"openinterest\" '\n                'FROM \"{dataname}\" '\n                'WHERE time {begin} '\n                'GROUP BY time({timeframe}) fill(none)').format(\n                    open_f=self.p.open, high_f=self.p.high,\n                    low_f=self.p.low, close_f=self.p.close,\n                    vol_f=self.p.volume, oi_f=self.p.ointerest,\n                    timeframe=tf, begin=st, dataname=self.p.dataname)\n\n        try:\n            dbars = list(self.ndb.query(qstr).get_points())\n        except InfluxDBClientError as err:\n            print('InfluxDB query failed: %s' % err)\n\n        self.biter = iter(dbars)\n\n    def _load(self):\n        try:\n            bar = next(self.biter)\n        except StopIteration:\n            return False\n\n        self.l.datetime[0] = date2num(dt.datetime.strptime(bar['time'],\n                                                           '%Y-%m-%dT%H:%M:%SZ'))\n\n        self.l.open[0] = bar['open']\n        self.l.high[0] = bar['high']\n        self.l.low[0] = bar['low']\n        self.l.close[0] = bar['close']\n        self.l.volume[0] = bar['volume']\n\n        return True\n"
  },
  {
    "path": "backtrader/feeds/mt4csv.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import GenericCSVData\n\n\nclass MT4CSVData(GenericCSVData):\n    '''\n    Parses a `Metatrader4 <https://www.metaquotes.net/en/metatrader4>`_ History\n    center CSV exported file.\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``: The filename to parse or a file-like object\n\n      - Uses GenericCSVData and simply modifies the params\n    '''\n\n    params = (\n        ('dtformat', '%Y.%m.%d'),\n        ('tmformat', '%H:%M'),\n        ('datetime', 0),\n        ('time',  1),\n        ('open',  2),\n        ('high',  3),\n        ('low',   4),\n        ('close', 5),\n        ('volume', 6),\n        ('openinterest', -1),\n    )\n"
  },
  {
    "path": "backtrader/feeds/oanda.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import datetime, timedelta\n\nfrom backtrader.feed import DataBase\nfrom backtrader import TimeFrame, date2num, num2date\nfrom backtrader.utils.py3 import (integer_types, queue, string_types,\n                                  with_metaclass)\nfrom backtrader.metabase import MetaParams\nfrom backtrader.stores import oandastore\n\n\nclass MetaOandaData(DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaOandaData, cls).__init__(name, bases, dct)\n\n        # Register with the store\n        oandastore.OandaStore.DataCls = cls\n\n\nclass OandaData(with_metaclass(MetaOandaData, DataBase)):\n    '''Oanda Data Feed.\n\n    Params:\n\n      - ``qcheck`` (default: ``0.5``)\n\n        Time in seconds to wake up if no data is received to give a chance to\n        resample/replay packets properly and pass notifications up the chain\n\n      - ``historical`` (default: ``False``)\n\n        If set to ``True`` the data feed will stop after doing the first\n        download of data.\n\n        The standard data feed parameters ``fromdate`` and ``todate`` will be\n        used as reference.\n\n        The data feed will make multiple requests if the requested duration is\n        larger than the one allowed by IB given the timeframe/compression\n        chosen for the data.\n\n      - ``backfill_start`` (default: ``True``)\n\n        Perform backfilling at the start. The maximum possible historical data\n        will be fetched in a single request.\n\n      - ``backfill`` (default: ``True``)\n\n        Perform backfilling after a disconnection/reconnection cycle. The gap\n        duration will be used to download the smallest possible amount of data\n\n      - ``backfill_from`` (default: ``None``)\n\n        An additional data source can be passed to do an initial layer of\n        backfilling. Once the data source is depleted and if requested,\n        backfilling from IB will take place. This is ideally meant to backfill\n        from already stored sources like a file on disk, but not limited to.\n\n      - ``bidask`` (default: ``True``)\n\n        If ``True``, then the historical/backfilling requests will request\n        bid/ask prices from the server\n\n        If ``False``, then *midpoint* will be requested\n\n      - ``useask`` (default: ``False``)\n\n        If ``True`` the *ask* part of the *bidask* prices will be used instead\n        of the default use of *bid*\n\n      - ``includeFirst`` (default: ``True``)\n\n        Influence the delivery of the 1st bar of a historical/backfilling\n        request by setting the parameter directly to the Oanda API calls\n\n      - ``reconnect`` (default: ``True``)\n\n        Reconnect when network connection is down\n\n      - ``reconnections`` (default: ``-1``)\n\n        Number of times to attempt reconnections: ``-1`` means forever\n\n      - ``reconntimeout`` (default: ``5.0``)\n\n        Time in seconds to wait in between reconnection attemps\n\n    This data feed supports only this mapping of ``timeframe`` and\n    ``compression``, which comply with the definitions in the OANDA API\n    Developer's Guid::\n\n        (TimeFrame.Seconds, 5): 'S5',\n        (TimeFrame.Seconds, 10): 'S10',\n        (TimeFrame.Seconds, 15): 'S15',\n        (TimeFrame.Seconds, 30): 'S30',\n        (TimeFrame.Minutes, 1): 'M1',\n        (TimeFrame.Minutes, 2): 'M3',\n        (TimeFrame.Minutes, 3): 'M3',\n        (TimeFrame.Minutes, 4): 'M4',\n        (TimeFrame.Minutes, 5): 'M5',\n        (TimeFrame.Minutes, 10): 'M10',\n        (TimeFrame.Minutes, 15): 'M15',\n        (TimeFrame.Minutes, 30): 'M30',\n        (TimeFrame.Minutes, 60): 'H1',\n        (TimeFrame.Minutes, 120): 'H2',\n        (TimeFrame.Minutes, 180): 'H3',\n        (TimeFrame.Minutes, 240): 'H4',\n        (TimeFrame.Minutes, 360): 'H6',\n        (TimeFrame.Minutes, 480): 'H8',\n        (TimeFrame.Days, 1): 'D',\n        (TimeFrame.Weeks, 1): 'W',\n        (TimeFrame.Months, 1): 'M',\n\n    Any other combination will be rejected\n    '''\n    params = (\n        ('qcheck', 0.5),\n        ('historical', False),  # do backfilling at the start\n        ('backfill_start', True),  # do backfilling at the start\n        ('backfill', True),  # do backfilling when reconnecting\n        ('backfill_from', None),  # additional data source to do backfill from\n        ('bidask', True),\n        ('useask', False),\n        ('includeFirst', True),\n        ('reconnect', True),\n        ('reconnections', -1),  # forever\n        ('reconntimeout', 5.0),\n    )\n\n    _store = oandastore.OandaStore\n\n    # States for the Finite State Machine in _load\n    _ST_FROM, _ST_START, _ST_LIVE, _ST_HISTORBACK, _ST_OVER = range(5)\n\n    _TOFFSET = timedelta()\n\n    def _timeoffset(self):\n        # Effective way to overcome the non-notification?\n        return self._TOFFSET\n\n    def islive(self):\n        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce\n        should be deactivated'''\n        return True\n\n    def __init__(self, **kwargs):\n        self.o = self._store(**kwargs)\n        self._candleFormat = 'bidask' if self.p.bidask else 'midpoint'\n\n    def setenvironment(self, env):\n        '''Receives an environment (cerebro) and passes it over to the store it\n        belongs to'''\n        super(OandaData, self).setenvironment(env)\n        env.addstore(self.o)\n\n    def start(self):\n        '''Starts the Oanda connecction and gets the real contract and\n        contractdetails if it exists'''\n        super(OandaData, self).start()\n\n        # Create attributes as soon as possible\n        self._statelivereconn = False  # if reconnecting in live state\n        self._storedmsg = dict()  # keep pending live message (under None)\n        self.qlive = queue.Queue()\n        self._state = self._ST_OVER\n\n        # Kickstart store and get queue to wait on\n        self.o.start(data=self)\n\n        # check if the granularity is supported\n        otf = self.o.get_granularity(self._timeframe, self._compression)\n        if otf is None:\n            self.put_notification(self.NOTSUPPORTED_TF)\n            self._state = self._ST_OVER\n            return\n\n        self.contractdetails = cd = self.o.get_instrument(self.p.dataname)\n        if cd is None:\n            self.put_notification(self.NOTSUBSCRIBED)\n            self._state = self._ST_OVER\n            return\n\n        if self.p.backfill_from is not None:\n            self._state = self._ST_FROM\n            self.p.backfill_from._start()\n        else:\n            self._start_finish()\n            self._state = self._ST_START  # initial state for _load\n            self._st_start()\n\n        self._reconns = 0\n\n    def _st_start(self, instart=True, tmout=None):\n        if self.p.historical:\n            self.put_notification(self.DELAYED)\n            dtend = None\n            if self.todate < float('inf'):\n                dtend = num2date(self.todate)\n\n            dtbegin = None\n            if self.fromdate > float('-inf'):\n                dtbegin = num2date(self.fromdate)\n\n            self.qhist = self.o.candles(\n                self.p.dataname, dtbegin, dtend,\n                self._timeframe, self._compression,\n                candleFormat=self._candleFormat,\n                includeFirst=self.p.includeFirst)\n\n            self._state = self._ST_HISTORBACK\n            return True\n\n        self.qlive = self.o.streaming_prices(self.p.dataname, tmout=tmout)\n        if instart:\n            self._statelivereconn = self.p.backfill_start\n        else:\n            self._statelivereconn = self.p.backfill\n\n        if self._statelivereconn:\n            self.put_notification(self.DELAYED)\n\n        self._state = self._ST_LIVE\n        if instart:\n            self._reconns = self.p.reconnections\n\n        return True  # no return before - implicit continue\n\n    def stop(self):\n        '''Stops and tells the store to stop'''\n        super(OandaData, self).stop()\n        self.o.stop()\n\n    def haslivedata(self):\n        return bool(self._storedmsg or self.qlive)  # do not return the objs\n\n    def _load(self):\n        if self._state == self._ST_OVER:\n            return False\n\n        while True:\n            if self._state == self._ST_LIVE:\n                try:\n                    msg = (self._storedmsg.pop(None, None) or\n                           self.qlive.get(timeout=self._qcheck))\n                except queue.Empty:\n                    return None  # indicate timeout situation\n\n                if msg is None:  # Conn broken during historical/backfilling\n                    self.put_notification(self.CONNBROKEN)\n                    # Try to reconnect\n                    if not self.p.reconnect or self._reconns == 0:\n                        # Can no longer reconnect\n                        self.put_notification(self.DISCONNECTED)\n                        self._state = self._ST_OVER\n                        return False  # failed\n\n                    self._reconns -= 1\n                    self._st_start(instart=False, tmout=self.p.reconntimeout)\n                    continue\n\n                if 'code' in msg:\n                    self.put_notification(self.CONNBROKEN)\n                    code = msg['code']\n                    if code not in [599, 598, 596]:\n                        self.put_notification(self.DISCONNECTED)\n                        self._state = self._ST_OVER\n                        return False  # failed\n\n                    if not self.p.reconnect or self._reconns == 0:\n                        # Can no longer reconnect\n                        self.put_notification(self.DISCONNECTED)\n                        self._state = self._ST_OVER\n                        return False  # failed\n\n                    # Can reconnect\n                    self._reconns -= 1\n                    self._st_start(instart=False, tmout=self.p.reconntimeout)\n                    continue\n\n                self._reconns = self.p.reconnections\n\n                # Process the message according to expected return type\n                if not self._statelivereconn:\n                    if self._laststatus != self.LIVE:\n                        if self.qlive.qsize() <= 1:  # very short live queue\n                            self.put_notification(self.LIVE)\n\n                    ret = self._load_tick(msg)\n                    if ret:\n                        return True\n\n                    # could not load bar ... go and get new one\n                    continue\n\n                # Fall through to processing reconnect - try to backfill\n                self._storedmsg[None] = msg  # keep the msg\n\n                # else do a backfill\n                if self._laststatus != self.DELAYED:\n                    self.put_notification(self.DELAYED)\n\n                dtend = None\n                if len(self) > 1:\n                    # len == 1 ... forwarded for the 1st time\n                    dtbegin = self.datetime.datetime(-1)\n                elif self.fromdate > float('-inf'):\n                    dtbegin = num2date(self.fromdate)\n                else:  # 1st bar and no begin set\n                    # passing None to fetch max possible in 1 request\n                    dtbegin = None\n\n                dtend = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)\n\n                self.qhist = self.o.candles(\n                    self.p.dataname, dtbegin, dtend,\n                    self._timeframe, self._compression,\n                    candleFormat=self._candleFormat,\n                    includeFirst=self.p.includeFirst)\n\n                self._state = self._ST_HISTORBACK\n                self._statelivereconn = False  # no longer in live\n                continue\n\n            elif self._state == self._ST_HISTORBACK:\n                msg = self.qhist.get()\n                if msg is None:  # Conn broken during historical/backfilling\n                    # Situation not managed. Simply bail out\n                    self.put_notification(self.DISCONNECTED)\n                    self._state = self._ST_OVER\n                    return False  # error management cancelled the queue\n\n                elif 'code' in msg:  # Error\n                    self.put_notification(self.NOTSUBSCRIBED)\n                    self.put_notification(self.DISCONNECTED)\n                    self._state = self._ST_OVER\n                    return False\n\n                if msg:\n                    if self._load_history(msg):\n                        return True  # loading worked\n\n                    continue  # not loaded ... date may have been seen\n                else:\n                    # End of histdata\n                    if self.p.historical:  # only historical\n                        self.put_notification(self.DISCONNECTED)\n                        self._state = self._ST_OVER\n                        return False  # end of historical\n\n                # Live is also wished - go for it\n                self._state = self._ST_LIVE\n                continue\n\n            elif self._state == self._ST_FROM:\n                if not self.p.backfill_from.next():\n                    # additional data source is consumed\n                    self._state = self._ST_START\n                    continue\n\n                # copy lines of the same name\n                for alias in self.lines.getlinealiases():\n                    lsrc = getattr(self.p.backfill_from.lines, alias)\n                    ldst = getattr(self.lines, alias)\n\n                    ldst[0] = lsrc[0]\n\n                return True\n\n            elif self._state == self._ST_START:\n                if not self._st_start(instart=False):\n                    self._state = self._ST_OVER\n                    return False\n\n    def _load_tick(self, msg):\n        dtobj = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)\n        dt = date2num(dtobj)\n        if dt <= self.lines.datetime[-1]:\n            return False  # time already seen\n\n        # Common fields\n        self.lines.datetime[0] = dt\n        self.lines.volume[0] = 0.0\n        self.lines.openinterest[0] = 0.0\n\n        # Put the prices into the bar\n        tick = float(msg['ask']) if self.p.useask else float(msg['bid'])\n        self.lines.open[0] = tick\n        self.lines.high[0] = tick\n        self.lines.low[0] = tick\n        self.lines.close[0] = tick\n        self.lines.volume[0] = 0.0\n        self.lines.openinterest[0] = 0.0\n\n        return True\n\n    def _load_history(self, msg):\n        dtobj = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)\n        dt = date2num(dtobj)\n        if dt <= self.lines.datetime[-1]:\n            return False  # time already seen\n\n        # Common fields\n        self.lines.datetime[0] = dt\n        self.lines.volume[0] = float(msg['volume'])\n        self.lines.openinterest[0] = 0.0\n\n        # Put the prices into the bar\n        if self.p.bidask:\n            if not self.p.useask:\n                self.lines.open[0] = float(msg['openBid'])\n                self.lines.high[0] = float(msg['highBid'])\n                self.lines.low[0] = float(msg['lowBid'])\n                self.lines.close[0] = float(msg['closeBid'])\n            else:\n                self.lines.open[0] = float(msg['openAsk'])\n                self.lines.high[0] = float(msg['highAsk'])\n                self.lines.low[0] = float(msg['lowAsk'])\n                self.lines.close[0] = float(msg['closeAsk'])\n        else:\n            self.lines.open[0] = float(msg['openMid'])\n            self.lines.high[0] = float(msg['highMid'])\n            self.lines.low[0] = float(msg['lowMid'])\n            self.lines.close[0] = float(msg['closeMid'])\n\n        return True\n"
  },
  {
    "path": "backtrader/feeds/pandafeed.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom backtrader.utils.py3 import filter, string_types, integer_types\n\nfrom backtrader import date2num\nimport backtrader.feed as feed\n\n\nclass PandasDirectData(feed.DataBase):\n    '''\n    Uses a Pandas DataFrame as the feed source, iterating directly over the\n    tuples returned by \"itertuples\".\n\n    This means that all parameters related to lines must have numeric\n    values as indices into the tuples\n\n    Note:\n\n      - The ``dataname`` parameter is a Pandas DataFrame\n\n      - A negative value in any of the parameters for the Data lines\n        indicates it's not present in the DataFrame\n        it is\n    '''\n\n    params = (\n        ('datetime', 0),\n        ('open', 1),\n        ('high', 2),\n        ('low', 3),\n        ('close', 4),\n        ('volume', 5),\n        ('openinterest', 6),\n    )\n\n    datafields = [\n        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'\n    ]\n\n    def start(self):\n        super(PandasDirectData, self).start()\n\n        # reset the iterator on each start\n        self._rows = self.p.dataname.itertuples()\n\n    def _load(self):\n        try:\n            row = next(self._rows)\n        except StopIteration:\n            return False\n\n        # Set the standard datafields - except for datetime\n        for datafield in self.getlinealiases():\n            if datafield == 'datetime':\n                continue\n\n            # get the column index\n            colidx = getattr(self.params, datafield)\n\n            if colidx < 0:\n                # column not present -- skip\n                continue\n\n            # get the line to be set\n            line = getattr(self.lines, datafield)\n\n            # indexing for pandas: 1st is colum, then row\n            line[0] = row[colidx]\n\n        # datetime\n        colidx = getattr(self.params, 'datetime')\n        tstamp = row[colidx]\n\n        # convert to float via datetime and store it\n        dt = tstamp.to_pydatetime()\n        dtnum = date2num(dt)\n\n        # get the line to be set\n        line = getattr(self.lines, 'datetime')\n        line[0] = dtnum\n\n        # Done ... return\n        return True\n\n\nclass PandasData(feed.DataBase):\n    '''\n    Uses a Pandas DataFrame as the feed source, using indices into column\n    names (which can be \"numeric\")\n\n    This means that all parameters related to lines must have numeric\n    values as indices into the tuples\n\n    Params:\n\n      - ``nocase`` (default *True*) case insensitive match of column names\n\n    Note:\n\n      - The ``dataname`` parameter is a Pandas DataFrame\n\n      - Values possible for datetime\n\n        - None: the index contains the datetime\n        - -1: no index, autodetect column\n        - >= 0 or string: specific colum identifier\n\n      - For other lines parameters\n\n        - None: column not present\n        - -1: autodetect\n        - >= 0 or string: specific colum identifier\n    '''\n\n    params = (\n        ('nocase', True),\n\n        # Possible values for datetime (must always be present)\n        #  None : datetime is the \"index\" in the Pandas Dataframe\n        #  -1 : autodetect position or case-wise equal name\n        #  >= 0 : numeric index to the colum in the pandas dataframe\n        #  string : column name (as index) in the pandas dataframe\n        ('datetime', None),\n\n        # Possible values below:\n        #  None : column not present\n        #  -1 : autodetect position or case-wise equal name\n        #  >= 0 : numeric index to the colum in the pandas dataframe\n        #  string : column name (as index) in the pandas dataframe\n        ('open', -1),\n        ('high', -1),\n        ('low', -1),\n        ('close', -1),\n        ('volume', -1),\n        ('openinterest', -1),\n    )\n\n    datafields = [\n        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'\n    ]\n\n    def __init__(self):\n        super(PandasData, self).__init__()\n\n        # these \"colnames\" can be strings or numeric types\n        colnames = list(self.p.dataname.columns.values)\n        if self.p.datetime is None:\n            # datetime is expected as index col and hence not returned\n            pass\n\n        # try to autodetect if all columns are numeric\n        cstrings = filter(lambda x: isinstance(x, string_types), colnames)\n        colsnumeric = not len(list(cstrings))\n\n        # Where each datafield find its value\n        self._colmapping = dict()\n\n        # Build the column mappings to internal fields in advance\n        for datafield in self.getlinealiases():\n            defmapping = getattr(self.params, datafield)\n\n            if isinstance(defmapping, integer_types) and defmapping < 0:\n                # autodetection requested\n                for colname in colnames:\n                    if isinstance(colname, string_types):\n                        if self.p.nocase:\n                            found = datafield.lower() == colname.lower()\n                        else:\n                            found = datafield == colname\n\n                        if found:\n                            self._colmapping[datafield] = colname\n                            break\n\n                if datafield not in self._colmapping:\n                    # autodetection requested and not found\n                    self._colmapping[datafield] = None\n                    continue\n            else:\n                # all other cases -- used given index\n                self._colmapping[datafield] = defmapping\n\n    def start(self):\n        super(PandasData, self).start()\n\n        # reset the length with each start\n        self._idx = -1\n\n        # Transform names (valid for .ix) into indices (good for .iloc)\n        if self.p.nocase:\n            colnames = [x.lower() for x in self.p.dataname.columns.values]\n        else:\n            colnames = [x for x in self.p.dataname.columns.values]\n\n        for k, v in self._colmapping.items():\n            if v is None:\n                continue  # special marker for datetime\n            if isinstance(v, string_types):\n                try:\n                    if self.p.nocase:\n                        v = colnames.index(v.lower())\n                    else:\n                        v = colnames.index(v)\n                except ValueError as e:\n                    defmap = getattr(self.params, k)\n                    if isinstance(defmap, integer_types) and defmap < 0:\n                        v = None\n                    else:\n                        raise e  # let user now something failed\n\n            self._colmapping[k] = v\n\n    def _load(self):\n        self._idx += 1\n\n        if self._idx >= len(self.p.dataname):\n            # exhausted all rows\n            return False\n\n        # Set the standard datafields\n        for datafield in self.getlinealiases():\n            if datafield == 'datetime':\n                continue\n\n            colindex = self._colmapping[datafield]\n            if colindex is None:\n                # datafield signaled as missing in the stream: skip it\n                continue\n\n            # get the line to be set\n            line = getattr(self.lines, datafield)\n\n            # indexing for pandas: 1st is colum, then row\n            line[0] = self.p.dataname.iloc[self._idx, colindex]\n\n        # datetime conversion\n        coldtime = self._colmapping['datetime']\n\n        if coldtime is None:\n            # standard index in the datetime\n            tstamp = self.p.dataname.index[self._idx]\n        else:\n            # it's in a different column ... use standard column index\n            tstamp = self.p.dataname.iloc[self._idx, coldtime]\n\n        # convert to float via datetime and store it\n        dt = tstamp.to_pydatetime()\n        dtnum = date2num(dt)\n        self.lines.datetime[0] = dtnum\n\n        # Done ... return\n        return True\n"
  },
  {
    "path": "backtrader/feeds/quandl.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom datetime import date, datetime\nimport io\nimport itertools\n\nfrom ..utils.py3 import (urlopen, urlquote, ProxyHandler, build_opener,\n                         install_opener)\n\nfrom .. import feed\nfrom ..utils import date2num\n\n\n__all__ = ['QuandlCSV', 'Quandl']\n\n\nclass QuandlCSV(feed.CSVDataBase):\n    '''\n    Parses pre-downloaded Quandl CSV Data Feeds (or locally generated if they\n    comply to the Quandl format)\n\n    Specific parameters:\n\n      - ``dataname``: The filename to parse or a file-like object\n\n      - ``reverse`` (default: ``False``)\n\n        It is assumed that locally stored files have already been reversed\n        during the download process\n\n      - ``adjclose`` (default: ``True``)\n\n        Whether to use the dividend/split adjusted close and adjust all\n        values according to it.\n\n      - ``round`` (default: ``False``)\n\n        Whether to round the values to a specific number of decimals after\n        having adjusted the close\n\n      - ``decimals`` (default: ``2``)\n\n        Number of decimals to round to\n    '''\n    _online = False  # flag to avoid double reversal\n\n    params = (\n        ('reverse', False),\n        ('adjclose', True),\n        ('round', False),\n        ('decimals', 2),\n    )\n\n    def start(self):\n        super(QuandlCSV, self).start()\n\n        if not self.params.reverse:\n            return\n        elif self._online:\n            return  # revers is True but also online, managed with order=asc\n\n        # Quandl data can be in reverse order -> reverse\n        dq = collections.deque()\n        for line in self.f:\n            dq.appendleft(line)\n\n        f = io.StringIO(newline=None)\n        f.writelines(dq)\n        f.seek(0)\n        self.f.close()\n        self.f = f\n\n    def _loadline(self, linetokens):\n        i = itertools.count(0)\n\n        dttxt = linetokens[next(i)]  # YYYY-MM-DD\n        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))\n        dtnum = date2num(datetime.combine(dt, self.p.sessionend))\n\n        self.lines.datetime[0] = dtnum\n        if self.p.adjclose:\n            for _ in range(7):\n                next(i)  # skip ohlcv, ex-dividend, split ratio\n\n        o = float(linetokens[next(i)])\n        h = float(linetokens[next(i)])\n        l = float(linetokens[next(i)])\n        c = float(linetokens[next(i)])\n        v = float(linetokens[next(i)])\n        self.lines.openinterest[0] = 0.0\n\n        if self.p.round:\n            decimals = self.p.decimals\n            o = round(o, decimals)\n            h = round(h, decimals)\n            l = round(l, decimals)\n            c = round(c, decimals)\n            v = round(v, decimals)\n\n        self.lines.open[0] = o\n        self.lines.high[0] = h\n        self.lines.low[0] = l\n        self.lines.close[0] = c\n        self.lines.volume[0] = v\n\n        return True\n\n\nclass Quandl(QuandlCSV):\n    '''\n    Executes a direct download of data from Quandl servers for the given time\n    range.\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``\n\n        The ticker to download ('YHOO' for example)\n\n      - ``baseurl``\n\n        The server url. Someone might decide to open a Quandl compatible\n        service in the future.\n\n      - ``proxies``\n\n        A dict indicating which proxy to go through for the download as in\n        {'http': 'http://myproxy.com'} or {'http': 'http://127.0.0.1:8080'}\n\n      - ``buffered``\n\n        If True the entire socket connection wil be buffered locally before\n        parsing starts.\n\n      - ``reverse``\n\n        Quandl returns the value in descending order (newest first). If this is\n        ``True`` (the default), the request will tell Quandl to return in\n        ascending (oldest to newest) format\n\n      - ``adjclose``\n\n        Whether to use the dividend/split adjusted close and adjust all values\n        according to it.\n\n      - ``apikey``\n\n        apikey identification in case it may be needed\n\n      - ``dataset``\n\n        string identifying the dataset to query. Defaults to ``WIKI``\n\n      '''\n\n    _online = True  # flag to avoid double reversal\n\n    params = (\n        ('baseurl', 'https://www.quandl.com/api/v3/datasets'),\n        ('proxies', {}),\n        ('buffered', True),\n        ('reverse', True),\n        ('apikey', None),\n        ('dataset', 'WIKI'),\n    )\n\n    def start(self):\n        self.error = None\n\n        url = '{}/{}/{}.csv'.format(\n            self.p.baseurl, self.p.dataset, urlquote(self.p.dataname))\n\n        urlargs = []\n        if self.p.reverse:\n            urlargs.append('order=asc')\n\n        if self.p.apikey is not None:\n            urlargs.append('api_key={}'.format(self.p.apikey))\n\n        if self.p.fromdate:\n            dtxt = self.p.fromdate.strftime('%Y-%m-%d')\n            urlargs.append('start_date={}'.format(dtxt))\n\n        if self.p.todate:\n            dtxt = self.p.todate.strftime('%Y-%m-%d')\n            urlargs.append('end_date={}'.format(dtxt))\n\n        if urlargs:\n            url += '?' + '&'.join(urlargs)\n\n        if self.p.proxies:\n            proxy = ProxyHandler(self.p.proxies)\n            opener = build_opener(proxy)\n            install_opener(opener)\n\n        try:\n            datafile = urlopen(url)\n        except IOError as e:\n            self.error = str(e)\n            # leave us empty\n            return\n\n        if datafile.headers['Content-Type'] != 'text/csv':\n            self.error = 'Wrong content type: %s' % datafile.headers\n            return  # HTML returned? wrong url?\n\n        if self.params.buffered:\n            # buffer everything from the socket into a local buffer\n            f = io.StringIO(datafile.read().decode('utf-8'), newline=None)\n            datafile.close()\n        else:\n            f = datafile\n\n        self.f = f\n\n        # Prepared a \"path\" file -  CSV Parser can take over\n        super(Quandl, self).start()\n"
  },
  {
    "path": "backtrader/feeds/rollover.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom datetime import datetime\n\nimport backtrader as bt\n\n\nclass MetaRollOver(bt.DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaRollOver, cls).__init__(name, bases, dct)\n\n    def donew(cls, *args, **kwargs):\n        '''Intercept const. to copy timeframe/compression from 1st data'''\n        # Create the object and set the params in place\n        _obj, args, kwargs = super(MetaRollOver, cls).donew(*args, **kwargs)\n\n        if args:\n            _obj.p.timeframe = args[0]._timeframe\n            _obj.p.compression = args[0]._compression\n\n        return _obj, args, kwargs\n\n\nclass RollOver(bt.with_metaclass(MetaRollOver, bt.DataBase)):\n    '''Class that rolls over to the next future when a condition is met\n\n    Params:\n\n        - ``checkdate`` (default: ``None``)\n\n          This must be a *callable* with the following signature::\n\n            checkdate(dt, d):\n\n          Where:\n\n            - ``dt`` is a ``datetime.datetime`` object\n            - ``d`` is the current data feed for the active future\n\n          Expected Return Values:\n\n            - ``True``: as long as the callable returns this, a switchover can\n              happen to the next future\n\n        If a commodity expires on the 3rd Friday of March, ``checkdate`` could\n        return ``True`` for the entire week in which the expiration takes\n        place.\n\n            - ``False``: the expiration cannot take place\n\n        - ``checkcondition`` (default: ``None``)\n\n          **Note**: This will only be called if ``checkdate`` has returned\n          ``True``\n\n          If ``None`` this will evaluate to ``True`` (execute roll over)\n          internally\n\n          Else this must be a *callable* with this signature::\n\n            checkcondition(d0, d1)\n\n          Where:\n\n            - ``d0`` is the current data feed for the active future\n            - ``d1`` is the data feed for the next expiration\n\n          Expected Return Values:\n\n            - ``True``: roll-over to the next future\n\n        Following with the example from ``checkdate``, this could say that the\n        roll-over can only happend if the *volume* from ``d0`` is already less\n        than the volume from ``d1``\n\n            - ``False``: the expiration cannot take place\n    '''\n\n    params = (\n        # ('rolls', []),  # array of futures to roll over\n        ('checkdate', None),  # callable\n        ('checkcondition', None),  # callable\n    )\n\n    def islive(self):\n        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce\n        should be deactivated'''\n        return True\n\n    def __init__(self, *args):\n        self._rolls = args\n\n    def start(self):\n        super(RollOver, self).start()\n        for d in self._rolls:\n            d.setenvironment(self._env)\n            d._start()\n\n        # put the references in a separate list to have pops\n        self._ds = list(self._rolls)\n        self._d = self._ds.pop(0) if self._ds else None\n        self._dexp = None\n        self._dts = [datetime.min for xx in self._ds]\n\n    def stop(self):\n        super(RollOver, self).stop()\n        for d in self._rolls:\n            d.stop()\n\n    def _gettz(self):\n        '''To be overriden by subclasses which may auto-calculate the\n        timezone'''\n        if self._rolls:\n            return self._rolls[0]._gettz()\n        return bt.utils.date.Localizer(self.p.tz)\n\n    def _checkdate(self, dt, d):\n        if self.p.checkdate is not None:\n            return self.p.checkdate(dt, d)\n\n        return False\n\n    def _checkcondition(self, d0, d1):\n        if self.p.checkcondition is not None:\n            return self.p.checkcondition(d0, d1)\n\n        return True\n\n    def _load(self):\n        while self._d is not None:\n            _next = self._d.next()\n            if _next is None:  # no values yet, more will come\n                continue\n            if _next is False:  # no values from current data src\n                if self._ds:\n                    self._d = self._ds.pop(0)\n                    self._dts.pop(0)\n                else:\n                    self._d = None\n                continue\n\n            dt0 = self._d.datetime.datetime()  # current dt for active data\n\n            # Synchronize other datas using dt0\n            for i, d_dt in enumerate(zip(self._ds, self._dts)):\n                d, dt = d_dt\n                while dt < dt0:\n                    if d.next() is None:\n                        continue\n                    self._dts[i] = dt = d.datetime.datetime()\n\n            # Move expired future as much as needed\n            while self._dexp is not None:\n                if not self._dexp.next():\n                    self._dexp = None\n                    break\n\n                if self._dexp.datetime.datetime() < dt0:\n                    continue\n\n            if self._dexp is None and self._checkdate(dt0, self._d):\n                # rule has been met ... check other factors only if 2 datas\n                # still there\n                if self._ds and self._checkcondition(self._d, self._ds[0]):\n                    # Time to switch to next data\n                    self._dexp = self._d\n                    self._d = self._ds.pop(0)\n                    self._dts.pop(0)\n\n            # Fill the line and tell we die\n            self.lines.datetime[0] = self._d.lines.datetime[0]\n            self.lines.open[0] = self._d.lines.open[0]\n            self.lines.high[0] = self._d.lines.high[0]\n            self.lines.low[0] = self._d.lines.low[0]\n            self.lines.close[0] = self._d.lines.close[0]\n            self.lines.volume[0] = self._d.lines.volume[0]\n            self.lines.openinterest[0] = self._d.lines.openinterest[0]\n            return True\n\n        # Out of the loop -> self._d is None, no data feed to return from\n        return False\n"
  },
  {
    "path": "backtrader/feeds/sierrachart.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import GenericCSVData\n\n\nclass SierraChartCSVData(GenericCSVData):\n    '''\n    Parses a `SierraChart <http://www.sierrachart.com>`_ CSV exported file.\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``: The filename to parse or a file-like object\n\n      - Uses GenericCSVData and simply modifies the dateformat (dtformat) to\n    '''\n\n    params = (('dtformat', '%Y/%m/%d'),)\n"
  },
  {
    "path": "backtrader/feeds/vcdata.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom datetime import datetime, timedelta, tzinfo\n\nimport backtrader as bt\nfrom backtrader import TimeFrame, date2num, num2date\nfrom backtrader.feed import DataBase\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import (integer_types, queue, string_types,\n                                  with_metaclass)\n\nfrom backtrader.stores import vcstore\n\n\nclass MetaVCData(DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaVCData, cls).__init__(name, bases, dct)\n\n        # Register with the store\n        vcstore.VCStore.DataCls = cls\n\n\nclass VCData(with_metaclass(MetaVCData, DataBase)):\n    '''VisualChart Data Feed.\n\n    Params:\n\n      - ``qcheck`` (default: ``0.5``)\n        Default timeout for waking up to let a resampler/replayer that the\n        current bar can be check for due delivery\n\n        The value is only used if a resampling/replaying filter has been\n        inserted in the data\n\n      - ``historical`` (default: ``False``)\n        If no ``todate`` parameter is supplied (defined in the base class),\n        this will force a historical only download if set to ``True``\n\n        If ``todate`` is supplied the same effect is achieved\n\n      - ``milliseconds`` (default: ``True``)\n        The bars constructed by *Visual Chart* have this aspect:\n        HH:MM:59.999000\n\n        If this parameter is ``True`` a millisecond will be added to this time\n        to make it look like: HH::MM + 1:00.000000\n\n      - ``tradename`` (default: ``None``)\n        Continous futures cannot be traded but are ideal for data tracking. If\n        this parameter is supplied it will be the name of the current future\n        which will be the trading asset. Example:\n\n        - 001ES -> ES-Mini continuous supplied as ``dataname``\n\n        - ESU16 -> ES-Mini 2016-09. If this is supplied in ``tradename`` it\n          will be the trading asset.\n\n      - ``usetimezones`` (default: ``True``)\n        For most markets the time offset information provided by *Visual Chart*\n        allows for datetime to be converted to market time (*backtrader* choice\n        for representation)\n\n        Some markets are special (``096``) and need special internal coverage\n        and timezone support to display in the user expected market time.\n\n        If this parameter is set to ``True`` importing ``pytz`` will be\n        attempted to use timezones (default)\n\n        Disabling it will remove timezone usage (may help if the load is\n        excesive)\n    '''\n    params = (\n        ('qcheck', 0.5),  # timeout in seconds (float) to check for events\n        ('historical', False),  # usual industry value\n        ('millisecond', True),  # fix missing millisecond in time\n        ('tradename', None),  # name of the real asset to trade on\n        ('usetimezones', True),  # use pytz timezones if found\n    )\n\n    # Holds the calculated offset to the timestamps of the VC Server\n    _TOFFSET = timedelta()\n\n    # States for the Finite State Machine in _load\n    _ST_START, _ST_FEEDING, _ST_NOTFOUND = range(3)\n\n    # Base NULL Date for VB/Excel date compatibility\n    NULLDATE = datetime(1899, 12, 30, 0, 0, 0)\n\n    # To correct HH:MM:59.999 times\n    MILLISECOND = timedelta(microseconds=1000)\n\n    # Large ping timeout\n    PING_TIMEOUT = 25.0\n\n    # Timezones for the different exchanges\n    _TZS = {\n        'Europe/London': ('011', '024', '027', '036', '049', '092', '114',\n                          # These are the global markets\n                          '033', '034', '035', '043', '054', '096', '300',),\n\n        'Europe/Berlin': ('005', '006', '008', '012', '013', '014', '015',\n                          '017', '019', '025', '029', '030', '037', '038',\n                          '052', '053', '060', '061', '072', '073', '074',\n                          '075', '080', '093', '094', '097', '111', '112',\n                          '113',),\n\n        'Asia/Tokyo': ('031',),\n        'Australia/Melbourne': ('032',),\n        'America/Argentina/Buenos_Aires': ('044',),\n        'America/Sao_Paulo': ('045',),\n        'America/Mexico_City': ('046',),\n        'America/Santiago': ('047',),\n\n        'US/Eastern': ('003', '004', '009', '010', '028', '040', '041', '055',\n                       '090', '095', '099',),\n        'US/Central': ('001', '002', '020', '021', '022', '023', '056',),\n    }\n\n    # The global assets may have a different output timezoe\n    _TZOUT = {\n        '096.FTSE': 'Europe/London',\n        '096.FTEU3': 'Europe/London',\n        '096.MIB30': 'Europe/Berlin',\n        '096.SSMI': 'Europe/Berlin',\n        '096.HSI': 'Asia/Hong_Kong',\n        '096.BVSP': 'America/Sao_Paulo',\n        '096.MERVAL': 'America/Argentina/Buenos_Aires',\n        '096.DJI': 'US/Eastern',\n        '096.IXIC': 'US/Eastern',\n        '096.NDX': 'US/Eastern',\n    }\n\n    # These global markets deliver data in local time dst adjuste unlike those\n    # from above and need a readjustment\n    _EXTRA_TIMEOFFSET = ('096',)\n\n    _TIMEFRAME_BACKFILL = {\n        TimeFrame.Ticks: timedelta(days=1),\n        TimeFrame.MicroSeconds: timedelta(days=1),\n        TimeFrame.Seconds: timedelta(days=1),\n        TimeFrame.Minutes: timedelta(days=2),\n        TimeFrame.Days: timedelta(days=365),\n        TimeFrame.Weeks: timedelta(days=365*2),\n        TimeFrame.Months: timedelta(days=365*5),\n        TimeFrame.Years: timedelta(days=365*20),\n    }\n\n    def _timeoffset(self):\n        '''Returns the calculated time offset local equipment -> data server'''\n        return self._TOFFSET\n\n    def _gettzinput(self):\n        '''Returns the timezone to consider for the input data'''\n        return self._gettz(tzin=True)\n\n    def _gettz(self, tzin=False):\n        '''Returns the default output timezone for the data\n\n        This defaults to be the timezone in which the market is traded\n        '''\n        # If no object has been provided by the user and a timezone can be\n        # found via contractdtails, then try to get it from pytz, which may or\n        # may not be available.\n\n        # The timezone specifications returned by TWS seem to be abbreviations\n        # understood by pytz, but the full list which TWS may return is not\n        # documented and one of the abbreviations may fail\n        ptz = self.p.tz\n        tzstr = isinstance(ptz, string_types)\n        if ptz is not None and not tzstr:\n            return bt.utils.date.Localizer(ptz)\n\n        if self._state == self._ST_NOTFOUND:\n            return None  # nothing else can be done\n\n        if not self.p.usetimezones:\n            return None\n\n        try:\n            import pytz  # keep the import very local\n        except ImportError:\n            return None  # nothing can be done\n\n        # dataname 010ABCXXXXX -> ABC (3, 4 and 5) is market code\n        if tzstr:\n            tzs = ptz\n        else:\n            tzs = None\n\n            if not tzin:\n                if self.p.dataname in self._TZOUT:\n                    tzs = self._TZOUT[self.p.dataname]\n\n            if tzs is None:\n                for mktz, mktcodes in self._TZS.items():\n                    if self._mktcode in mktcodes:\n                        tzs = mktz\n                        break\n\n            if tzs is None:\n                return None\n\n            if isinstance(tzs, tzinfo):\n                return bt.utils.date.Localizer(tzs)\n\n        if tzs:\n            try:\n                tz = pytz.timezone(tzs)\n            except pytz.UnknownTimeZoneError:\n                return None  # nothing can be done\n        else:\n            return None\n\n        # contractdetails there, import ok, timezone found, return it\n        return tz\n\n    def islive(self):\n        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce\n        should be deactivated'''\n        return True\n\n    def __init__(self, **kwargs):\n        self.store = vcstore.VCStore(**kwargs)\n\n        # Correct a copy past directly from VisualChart\n        dataname = self.p.dataname\n        if dataname[3].isspace():\n            dataname = dataname[0:2] + dataname[4:]\n            self.p.dataname = dataname\n\n        self._dataname = '010' + self.p.dataname\n        self._mktcode = self.p.dataname[0:3]\n\n        self._tradename = tradename = self.p.tradename or self._dataname\n        # Correct a copy past directly from VisualChart\n        if tradename[3].isspace():\n            tradename = tradename[0:2] + tradename[4:]\n            self._tradename = tradename\n\n    def setenvironment(self, env):\n        '''Receives an environment (cerebro) and passes it over to the store it\n        belongs to'''\n        super(VCData, self).setenvironment(env)\n        env.addstore(self.store)\n\n    def start(self):\n        '''Starts the VC connecction and gets the real contract and\n        contractdetails if it exists'''\n        super(VCData, self).start()\n\n        self._state = self._ST_START  # mini finite state machine\n\n        self._newticks = True  # control processing of initial ticks\n\n        self._pingtmout = self.PING_TIMEOUT  # Initial timeout for ping\n\n        self.idx = 1  # counter for the dataserie (vb is based at 1)\n        self.q = None  # where bars are received\n\n        # market time offsets\n        self._mktoffset = None\n        self._mktoff1 = None\n        self._mktoffdiff = None\n\n        if not self.store.connected():\n            # Not connected -> go away\n            self.put_notification(self.DISCONNECTED)\n            self._state = self._ST_NOTFOUND\n            return\n\n        self.put_notification(self.CONNECTED)\n        # get real contract details with real conId (contractId)\n        self.qrt = queue.Queue()  # to await a ping\n        self.store._rtdata(self, self._dataname)\n        symfound = self.qrt.get()\n        if not symfound:\n            # Kill any further action and signal it\n            self.put_notification(self.NOTSUBSCRIBED)\n            self.put_notification(self.DISCONNECTED)\n            self._state = self._ST_NOTFOUND\n            return\n\n        if self.replaying:\n            # In this case don't request the final\n            # timeframe from vc, but the original that has to be replayed\n            self._tf, self._comp = self.p.timeframe, self.p.compression\n        else:\n            # Else (even if resampling) pass the final timeframe which may\n            # been modified by a resampling filter\n            self._tf, self._comp = self._timeframe, self._compression,\n\n        self._ticking = self.store._ticking(self._tf)\n        self._syminfo = syminfo = self.store._symboldata(self._dataname)\n\n        # For most markets:\n        # mktoffset == mktoff1 and substracting this value from reported times\n        # is enough to report the \"market time\". Visual Chart changes this from\n        # a value X to 0 if the appropriate setting in the GUI is changed to\n        # change display of time from local <-> market\n        #\n        # But some markets (at least 096XXX) that theoretically live in\n        # Europe/London seem to be displaced 1 hour to the west and an extra\n        # hour is needed.\n        # These markets do also need \"usetimezoned\" True to actually display\n        # the market time, because this is done internally using the\n        # definitions in TZOUTS\n\n        # Record and calculate market offsets\n        self._mktoffset = timedelta(seconds=syminfo.TimeOffset)\n        # Add millisecond to pusth HH:MM:59.999 -> 00.000 unless ticks\n        if self.p.millisecond and not self._ticking:\n            self._mktoffset -= self.MILLISECOND\n\n        self._mktoff1 = self._mktoffset\n        if self._mktcode in self._EXTRA_TIMEOFFSET:\n            # These codes live theoretically in\n            # (UTC+00:00) Dublin, Edinburgh, Lisbon, London which is\n            # 'Europe/London'\n            # But all experiments show the times to be displaced 1 hour to\n            # the west and hence the extra 3600 seconds\n            self._mktoffset -= timedelta(seconds=3600)\n\n        self._mktoffdiff = self._mktoffset - self._mktoff1\n\n        if self._state == self._ST_START:\n            self.put_notification(self.DELAYED)\n\n            # Now request the data and get a comms queue for it\n            self.q = self.store._directdata(\n                self,\n                self._dataname,\n                self._tf, self._comp,\n                self.p.fromdate, self.p.todate,\n                self.p.historical)\n\n            self._state = self._ST_FEEDING\n\n    def stop(self):\n        '''Stops and tells the store to stop'''\n        super(VCData, self).stop()\n        if self.q:\n            self.store._canceldirectdata(self.q)\n\n    def _setserie(self, serie):\n        # Accepts a serie (COM Object) to use in ping events\n        self._serie = serie\n\n    def haslivedata(self):\n        return self._laststatus == self.LIVE and self.q\n\n    def _load(self):\n        if self._state == self._ST_NOTFOUND:\n            return False  # nothing can be done\n\n        while True:\n            try:\n                # tmout <> 0 only if resampling/replaying, else no waking up\n                tmout = self._qcheck * bool(self.resampling)\n                msg = self.q.get(timeout=tmout)\n            except queue.Empty:\n                return None\n\n            if msg is None:\n                return False  # end of stream\n\n            if msg == self.store._RT_SHUTDOWN:\n                self.put_notification(self.DISCONNECTED)\n                return False  # VC has exited\n\n            if msg == self.store._RT_DISCONNECTED:\n                self.put_notification(self.CONNBROKEN)\n                continue\n\n            if msg == self.store._RT_CONNECTED:\n                self.put_notification(self.CONNECTED)\n                self.put_notification(self.DELAYED)\n                continue\n\n            if msg == self.store._RT_LIVE:\n                if self._laststatus != self.LIVE:\n                    self.put_notification(self.LIVE)\n                continue\n\n            if msg == self.store._RT_DELAYED:\n                if self._laststatus != self.DELAYED:\n                    self.put_notification(self.DELAYED)\n                continue\n\n            if isinstance(msg, integer_types):\n                self.put_notification(self.UNKNOWN, msg)\n                continue\n\n            # it must be a bar\n            bar = msg\n\n            # Put the tick into the bar\n            self.lines.open[0] = bar.Open\n            self.lines.high[0] = bar.High\n            self.lines.low[0] = bar.Low\n            self.lines.close[0] = bar.Close\n            self.lines.volume[0] = bar.Volume\n            self.lines.openinterest[0] = bar.OpenInterest\n\n            # Convert time to \"market\" time (096 exception)\n            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffset\n            self.lines.datetime[0] = date2num(dt)\n\n            return True\n\n    #\n    # DS Events\n    #\n    def _getpingtmout(self):\n        '''Returns the actual ping timeout for PumpEvents to wake up and call\n        ping, which will check if the not yet delivered bar can be\n        delivered. The bar may be stalled because vc awaits a new tick and\n        during low negotiation hour this can take several seconds after the\n        actual expected delivery time'''\n        if self._ticking:\n            return -1  # no timeout\n\n        return self._pingtmout\n\n    def OnNewDataSerieBar(self, DataSerie, forcepush=False):\n        # Processes the COM Event (also called directly when 1st creating the\n        # data serie\n        ssize = DataSerie.Size\n\n        if ssize - self.idx > 1:\n            # More than 1 bar on-board -> delay in place\n            if self._laststatus != self.DELAYED:\n                self.q.put(self.store._RT_DELAYED)\n\n        # return everything if original tf is ticks or force pushing\n        ssize += forcepush or self._ticking\n        for idx in range(self.idx, ssize):\n            bar = DataSerie.GetBarValues(idx)\n            self.q.put(bar)\n\n        if not forcepush and not self._ticking and ssize:\n            # A bar has been left in place\n            dtnow = datetime.now() - self._TOFFSET  # adjust local time\n\n            bar = DataSerie.GetBarValues(ssize)\n            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffdiff\n            if dtnow < dt:\n                # A bar is there, not deliverable yet - LIVE\n                if self._laststatus != self.LIVE:\n                    self.q.put(self.store._RT_LIVE)\n\n                # Adjust ping timeout to the bar boundary (plus mini leeway)\n                self._pingtmout = (dt - dtnow).total_seconds() + 0.5\n\n            else:\n                self._pingtmout = self.PING_TIMEOUT  # no bar left, long pause\n                self.q.put(bar)  # push bar and update index\n                ssize += 1  # pushed last one out\n\n        # Write down the last processed bar\n        self.idx = max(1, ssize)\n\n    def ping(self):\n        ssize = self._serie.Size\n\n        if self.idx > ssize:\n            return  # no bar available\n\n        if self._laststatus == self.CONNBROKEN:\n            self._pingtmout = self.PING_TIMEOUT\n            return  # do not push during disconnection\n\n        dtnow = datetime.now() - self._TOFFSET\n        # CHECK: there should be a maximum of 1 bar when pinging\n        # In any case the algorithm doesn't hurt\n        for idx in range(self.idx, ssize + 1):  # reach ssize\n            bar = self._serie.GetBarValues(self.idx)\n            # dt = (self.NULLDATE + timedelta(days=bar.Date) + self._mktoff1)\n            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffdiff\n            if dtnow < dt:\n                self._pingtmout = (dt - dtnow).total_seconds() + 0.5\n                break  # cannot deliver anything\n\n            # Adjust ping timeout to the bar boundary (plus mini leeway)\n            self._pingtmout = self.PING_TIMEOUT  # no bar, nothing to check\n            self.q.put(bar)  # push bar and update index\n            self.idx += 1\n\n    #\n    # RTEvents\n    #\n    # Can be used on a per data basis to check the connection status\n    if False:\n        def OnInternalEvent(self, p1, p2, p3):\n            if p1 != 1:  # Apparently \"Connection Event\"\n                return\n\n            if p2 == self.lastconn:\n                return  # do not notify twice\n\n            self.lastconn = p2  # keep new notification code\n\n            # p2 should be 0 (disconn), 1 (conn)\n            self.store._vcrt_connection(self.store._RT_BASEMSG - p2)\n\n    def OnNewTicks(self, ArrayTicks):\n        # Process the COM Event for New Ticks. This is only used temporarily\n        # for 2 purposes\n        #\n        # 1. If tick.Field == Field_Description is returned, it can be checked\n        # if the requested symbol has been found or not (tick.Date == 0 -> not\n        # found). tick.Text has 'Not Found', but this is more likely to change\n        # Once Field_Description has been seen, the 2nd stage takes place\n        #\n        # 2. When a tick.Field == Field_Time is seen and tick.TickIndex == 0,\n        # the 1st tick of a second is seen and the tick.Date value can be used\n        # to calculate a time offset to the feed server. This is later used to\n        # check if a bar is due delivery or not\n        #\n        # After this the reception of ticks is cancelled\n\n        aticks = ArrayTicks[0]\n        # self.debug_ticks(aticks)\n        ticks = dict()\n        for tick in aticks:\n            ticks[tick.Field] = tick\n\n        if self.store.vcrtmod.Field_Description in ticks:\n            if self._newticks:\n                self._newticks = False\n                hasdate = bool(ticks.get(self.store.vcrtmod.Field_Date, False))\n                self.qrt.put(hasdate)\n                return\n\n        else:\n            try:\n                tick = ticks[self.store.vcrtmod.Field_Time]\n            except KeyError:\n                return\n\n            if tick.TickIndex == 0 and self._mktoff1 is not None:\n                # Adjust the tick time using the mktoffset (with the 096 excep)\n                dttick = (self.NULLDATE + timedelta(days=tick.Date) +\n                          self._mktoff1)\n\n                self._TOFFSET = datetime.now() - dttick\n                if self._mktcode in self._EXTRA_TIMEOFFSET:\n                    # These codes live theoretically in (UTC+00:00) Dublin,\n                    # Edinburgh, Lisbon, London which is 'Europe/London'\n                    # But all experiments show the times to be displaced 1\n                    # hour to the west and hence the extra 3600 seconds\n                    self._TOFFSET -= timedelta(seconds=3600)\n\n                # Cancel ticks\n                self._vcrt.CancelSymbolFeed(self._dataname, False)\n\n    def debug_ticks(self, ticks):\n        print('*' * 50, 'DEBUG OnNewTicks')\n        for tick in ticks:\n            print('-' * 40)\n            print('tick.SymbolCode', tick.SymbolCode.encode('ascii', 'ignore'))\n            fname = self.store.vcrtfields.get(tick.Field, tick.Field)\n            print('  tick.Field   : {} ({})'.format(fname, tick.Field))\n            print('  tick.FieldEx :', tick.FieldEx)\n            tdate = tick.Date\n            if tdate:\n                tdate = self.NULLDATE + timedelta(days=tick.Date)\n            print('  tick.Date    :', tdate)\n\n            print('  tick.Index   :', tick.TickIndex)\n            print('  tick.Value   :', tick.Value)\n            print('  tick.Text    :', tick.Text.encode('ascii', 'ignore'))\n"
  },
  {
    "path": "backtrader/feeds/vchart.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\nimport struct\nimport os.path\n\nfrom .. import feed\nfrom .. import TimeFrame\nfrom ..utils import date2num\n\n\nclass VChartData(feed.DataBase):\n    '''\n    Support for `Visual Chart <www.visualchart.com>`_ binary on-disk files for\n    both daily and intradaily formats.\n\n    Note:\n\n      - ``dataname``: to file or open file-like object\n\n        If a file-like object is passed, the ``timeframe`` parameter will be\n        used to determine which is the actual timeframe.\n\n        Else the file extension (``.fd`` for daily and ``.min`` for intraday)\n        will be used.\n    '''\n\n    def start(self):\n        super(VChartData, self).start()\n\n        # Not yet known if a extension is needed\n        self.ext = ''\n\n        if not hasattr(self.p.dataname, 'read'):\n            # assume is a string because it has no write method\n\n            if self.p.dataname.endswith('.fd'):\n                self.p.timeframe = TimeFrame.Days\n            elif self.p.dataname.endswith('.min'):\n                self.p.timeframe = TimeFrame.Minutes\n            else:\n                # Neither fd nor min ... just the code, assign extension\n                if self.p.timeframe == TimeFrame.Days:\n                    self.ext = '.fd'\n                else:\n                    self.ext = '.min'\n\n        if self.p.timeframe >= TimeFrame.Days:\n            self.barsize = 28\n            self.dtsize = 1\n            self.barfmt = 'IffffII'\n        else:\n            self.dtsize = 2\n            self.barsize = 32\n            self.barfmt = 'IIffffII'\n\n        self.f = None\n        if hasattr(self.p.dataname, 'read'):\n            # A file has been passed in (ex: from a GUI)\n            self.f = self.p.dataname\n        else:\n            dataname = self.p.dataname + self.ext\n            # Let an exception propagate\n            self.f = open(dataname, 'rb')\n\n    def stop(self):\n        if self.f is not None:\n            self.f.close()\n            self.f = None\n\n    def _load(self):\n        if self.f is None:\n            return False\n\n        # Let an exception propagate to let the caller know\n        bardata = self.f.read(self.barsize)\n        if not bardata:\n            return False\n\n        bdata = struct.unpack(self.barfmt, bardata)\n\n        # Years are stored as if they had 500 days\n        y, md = divmod(bdata[0], 500)\n        # Months are stored as if they had 32 days\n        m, d = divmod(md, 32)\n        dt = datetime.datetime(y, m, d)\n\n        if self.dtsize > 1:  # Minute Bars\n            # Daily Time is stored in seconds\n            hhmm, ss = divmod(bdata[1], 60)\n            hh, mm = divmod(hhmm, 60)\n            dt = dt.replace(hour=hh, minute=mm, second=ss)\n\n        self.lines.datetime[0] = date2num(dt)\n\n        o, h, l, c, v, oi = bdata[self.dtsize:]\n        self.lines.open[0] = o\n        self.lines.high[0] = h\n        self.lines.low[0] = l\n        self.lines.close[0] = c\n        self.lines.volume[0] = v\n        self.lines.openinterest[0] = oi\n\n        return True\n\n\nclass VChartFeed(feed.FeedBase):\n    DataCls = VChartData\n\n    params = (('basepath', ''),) + DataCls.params._gettuple()\n\n    def _getdata(self, dataname, **kwargs):\n        maincode = dataname[0:2]\n        subcode = dataname[2:6]\n\n        datapath = os.path.join(self.p.basepath,\n                                'RealServer', 'Data',\n                                maincode, subcode,  # 01 00XX\n                                dataname)\n\n        newkwargs = self.p._getkwargs()\n        newkwargs.update(kwargs)\n        kwargs['dataname'] = datapath\n        return self.DataCls(**kwargs)\n"
  },
  {
    "path": "backtrader/feeds/vchartcsv.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\nfrom .. import feed\nfrom .. import TimeFrame\nfrom ..utils import date2num\n\n\nclass VChartCSVData(feed.CSVDataBase):\n    '''\n    Parses a `VisualChart <http://www.visualchart.com>`_ CSV exported file.\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``: The filename to parse or a file-like object\n    '''\n\n    vctframes = dict(\n        I=TimeFrame.Minutes,\n        D=TimeFrame.Days,\n        W=TimeFrame.Weeks,\n        M=TimeFrame.Months)\n\n    def _loadline(self, linetokens):\n        itokens = iter(linetokens)\n\n        ticker = next(itokens)  # skip ticker name\n        if not self._name:\n            self._name = ticker\n\n        # day/intraday indication\n        timeframe = next(itokens)\n\n        self._timeframe = self.vctframes[timeframe]\n\n        dttxt = next(itokens)\n        y, m, d = int(dttxt[0:4]), int(dttxt[4:6]), int(dttxt[6:8])\n\n        tmtxt = next(itokens)\n        if timeframe == 'I':\n            # use the provided time\n            hh, mmss = divmod(int(tmtxt), 10000)\n            mm, ss = divmod(mmss, 100)\n        else:\n            # put it at the end of the session parameter\n            hh = self.p.sessionend.hour\n            mm = self.p.sessionend.minute\n            ss = self.p.sessionend.second\n\n        dtnum = date2num(datetime.datetime(y, m, d, hh, mm, ss))\n\n        self.lines.datetime[0] = dtnum\n        self.lines.open[0] = float(next(itokens))\n        self.lines.high[0] = float(next(itokens))\n        self.lines.low[0] = float(next(itokens))\n        self.lines.close[0] = float(next(itokens))\n        self.lines.volume[0] = float(next(itokens))\n        self.lines.openinterest[0] = float(next(itokens))\n\n        return True\n\n\nclass VChartCSV(feed.CSVFeedBase):\n    DataCls = VChartCSVData\n"
  },
  {
    "path": "backtrader/feeds/vchartfile.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import datetime\nfrom struct import unpack\nimport os.path\n\nimport backtrader as bt\nfrom backtrader import date2num  # avoid dict lookups\n\n\nclass MetaVChartFile(bt.DataBase.__class__):\n    def __init__(cls, name, bases, dct):\n        '''Class has already been created ... register'''\n        # Initialize the class\n        super(MetaVChartFile, cls).__init__(name, bases, dct)\n\n        # Register with the store\n        bt.stores.VChartFile.DataCls = cls\n\n\nclass VChartFile(bt.with_metaclass(MetaVChartFile, bt.DataBase)):\n    '''\n    Support for `Visual Chart <www.visualchart.com>`_ binary on-disk files for\n    both daily and intradaily formats.\n\n    Note:\n\n      - ``dataname``: Market code displayed by Visual Chart. Example: 015ES for\n        EuroStoxx 50 continuous future\n    '''\n\n    def start(self):\n        super(VChartFile, self).start()\n        if self._store is None:\n            self._store = bt.stores.VChartFile()\n            self._store.start()\n\n        self._store.start(data=self)\n\n        # Choose extension and extraction/calculation parameters\n        if self.p.timeframe < bt.TimeFrame.Minutes:\n            ext = '.tck'  # seconds will still need resampling\n            # FIXME: find reference to tick counter for format\n        elif self.p.timeframe < bt.TimeFrame.Days:\n            ext = '.min'\n            self._dtsize = 2\n            self._barsize = 32\n            self._barfmt = 'IIffffII'\n        else:\n            ext = '.fd'\n            self._barsize = 28\n            self._dtsize = 1\n            self._barfmt = 'IffffII'\n\n        # Construct full path\n        basepath = self._store.get_datapath()\n\n        # Example: 01 + 0 + 015ES + .fd -> 010015ES.fd\n        dataname = '01' + '0' + self.p.dataname + ext\n        # 015ES -> 0 + 015 -> 0015\n        mktcode = '0' + self.p.dataname[0:3]\n\n        # basepath/0015/010015ES.fd\n        path = os.path.join(basepath, mktcode, dataname)\n        try:\n            self.f = open(path, 'rb')\n        except IOError:\n            self.f = None\n\n    def stop(self):\n        if self.f is not None:\n            self.f.close()\n            self.f = None\n\n    def _load(self):\n        if self.f is None:\n            return False  # cannot load more\n\n        try:\n            bardata = self.f.read(self._barsize)\n        except IOError:\n            self.f = None  # cannot return, nullify file\n            return False  # cannot load more\n\n        if not bardata or len(bardata) < self._barsize:\n            self.f = None  # cannot return, nullify file\n            return False  # cannot load more\n\n        try:\n            bdata = unpack(self._barfmt, bardata)\n        except:\n            self.f = None\n            return False\n\n        # First Date\n        y, md = divmod(bdata[0], 500)  # Years stored as if they had 500 days\n        m, d = divmod(md, 32)  # Months stored as if they had 32 days\n        dt = datetime(y, m, d)\n\n        # Time\n        if self._dtsize > 1:  # Minute Bars\n            # Daily Time is stored in seconds\n            hhmm, ss = divmod(bdata[1], 60)\n            hh, mm = divmod(hhmm, 60)\n            dt = dt.replace(hour=hh, minute=mm, second=ss)\n        else:  # Daily Bars\n            dt = datetime.combine(dt, self.p.sessionend)\n\n        self.lines.datetime[0] = date2num(dt)  # Store time\n\n        # Get the rest of the fields\n        o, h, l, c, v, oi = bdata[self._dtsize:]\n        self.lines.open[0] = o\n        self.lines.high[0] = h\n        self.lines.low[0] = l\n        self.lines.close[0] = c\n        self.lines.volume[0] = v\n        self.lines.openinterest[0] = oi\n\n        return True  # a bar has been successfully loaded\n"
  },
  {
    "path": "backtrader/feeds/yahoo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom datetime import date, datetime\nimport io\nimport itertools\n\nfrom ..utils.py3 import (urlopen, urlquote, ProxyHandler, build_opener,\n                         install_opener)\n\nimport backtrader as bt\nfrom .. import feed\nfrom ..utils import date2num\n\n\nclass YahooFinanceCSVData(feed.CSVDataBase):\n    '''\n    Parses pre-downloaded Yahoo CSV Data Feeds (or locally generated if they\n    comply to the Yahoo format)\n\n    Specific parameters:\n\n      - ``dataname``: The filename to parse or a file-like object\n\n      - ``reverse`` (default: ``False``)\n\n        It is assumed that locally stored files have already been reversed\n        during the download process\n\n      - ``adjclose`` (default: ``True``)\n\n        Whether to use the dividend/split adjusted close and adjust all\n        values according to it.\n\n      - ``adjvolume`` (default: ``True``)\n\n        Do also adjust ``volume`` if ``adjclose`` is also ``True``\n\n      - ``round`` (default: ``True``)\n\n        Whether to round the values to a specific number of decimals after\n        having adjusted the close\n\n      - ``roundvolume`` (default: ``0``)\n\n        Round the resulting volume to the given number of decimals after having\n        adjusted it\n\n      - ``decimals`` (default: ``2``)\n\n        Number of decimals to round to\n\n      - ``swapcloses`` (default: ``False``)\n\n        [2018-11-16] It would seem that the order of *close* and *adjusted\n        close* is now fixed. The parameter is retained, in case the need to\n        swap the columns again arose.\n\n    '''\n    lines = ('adjclose',)\n\n    params = (\n        ('reverse', False),\n        ('adjclose', True),\n        ('adjvolume', True),\n        ('round', True),\n        ('decimals', 2),\n        ('roundvolume', False),\n        ('swapcloses', False),\n    )\n\n    def start(self):\n        super(YahooFinanceCSVData, self).start()\n\n        if not self.params.reverse:\n            return\n\n        # Yahoo sends data in reverse order and the file is still unreversed\n        dq = collections.deque()\n        for line in self.f:\n            dq.appendleft(line)\n\n        f = io.StringIO(newline=None)\n        f.writelines(dq)\n        f.seek(0)\n        self.f.close()\n        self.f = f\n\n    def _loadline(self, linetokens):\n        while True:\n            nullseen = False\n            for tok in linetokens[1:]:\n                if tok == 'null':\n                    nullseen = True\n                    linetokens = self._getnextline()  # refetch tokens\n                    if not linetokens:\n                        return False  # cannot fetch, go away\n\n                    # out of for to carry on wiwth while True logic\n                    break\n\n            if not nullseen:\n                break  # can proceed\n\n        i = itertools.count(0)\n\n        dttxt = linetokens[next(i)]\n        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))\n        dtnum = date2num(datetime.combine(dt, self.p.sessionend))\n\n        self.lines.datetime[0] = dtnum\n        o = float(linetokens[next(i)])\n        h = float(linetokens[next(i)])\n        l = float(linetokens[next(i)])\n        c = float(linetokens[next(i)])\n        self.lines.openinterest[0] = 0.0\n\n        # 2018-11-16 ... Adjusted Close seems to always be delivered after\n        # the close and before the volume columns\n        adjustedclose = float(linetokens[next(i)])\n        try:\n            v = float(linetokens[next(i)])\n        except:  # cover the case in which volume is \"null\"\n            v = 0.0\n\n        if self.p.swapcloses:  # swap closing prices if requested\n            c, adjustedclose = adjustedclose, c\n\n        adjfactor = c / adjustedclose\n\n        # in v7 \"adjusted prices\" seem to be given, scale back for non adj\n        if self.params.adjclose:\n            o /= adjfactor\n            h /= adjfactor\n            l /= adjfactor\n            c = adjustedclose\n            # If the price goes down, volume must go up and viceversa\n            if self.p.adjvolume:\n                v *= adjfactor\n\n        if self.p.round:\n            decimals = self.p.decimals\n            o = round(o, decimals)\n            h = round(h, decimals)\n            l = round(l, decimals)\n            c = round(c, decimals)\n\n        v = round(v, self.p.roundvolume)\n\n        self.lines.open[0] = o\n        self.lines.high[0] = h\n        self.lines.low[0] = l\n        self.lines.close[0] = c\n        self.lines.volume[0] = v\n        self.lines.adjclose[0] = adjustedclose\n\n        return True\n\n\nclass YahooLegacyCSV(YahooFinanceCSVData):\n    '''\n    This is intended to load files which were downloaded before Yahoo\n    discontinued the original service in May-2017\n\n    '''\n    params = (\n        ('version', ''),\n    )\n\n\nclass YahooFinanceCSV(feed.CSVFeedBase):\n    DataCls = YahooFinanceCSVData\n\n\nclass YahooFinanceData(YahooFinanceCSVData):\n    '''\n    Executes a direct download of data from Yahoo servers for the given time\n    range.\n\n    Specific parameters (or specific meaning):\n\n      - ``dataname``\n\n        The ticker to download ('YHOO' for Yahoo own stock quotes)\n\n      - ``proxies``\n\n        A dict indicating which proxy to go through for the download as in\n        {'http': 'http://myproxy.com'} or {'http': 'http://127.0.0.1:8080'}\n\n      - ``period``\n\n        The timeframe to download data in. Pass 'w' for weekly and 'm' for\n        monthly.\n\n      - ``reverse``\n\n        [2018-11-16] The latest incarnation of Yahoo online downloads returns\n        the data in the proper order. The default value of ``reverse`` for the\n        online download is therefore set to ``False``\n\n      - ``adjclose``\n\n        Whether to use the dividend/split adjusted close and adjust all values\n        according to it.\n\n      - ``urlhist``\n\n        The url of the historical quotes in Yahoo Finance used to gather a\n        ``crumb`` authorization cookie for the download\n\n      - ``urldown``\n\n        The url of the actual download server\n\n      - ``retries``\n\n        Number of times (each) to try to get a ``crumb`` cookie and download\n        the data\n\n      '''\n\n    params = (\n        ('proxies', {}),\n        ('period', 'd'),\n        ('reverse', False),\n        ('urlhist', 'https://finance.yahoo.com/quote/{}/history'),\n        ('urldown', 'https://query1.finance.yahoo.com/v7/finance/download'),\n        ('retries', 3),\n    )\n\n    def start_v7(self):\n        try:\n            import requests\n        except ImportError:\n            msg = ('The new Yahoo data feed requires to have the requests '\n                   'module installed. Please use pip install requests or '\n                   'the method of your choice')\n            raise Exception(msg)\n\n        self.error = None\n        url = self.p.urlhist.format(self.p.dataname)\n\n        sesskwargs = dict()\n        if self.p.proxies:\n            sesskwargs['proxies'] = self.p.proxies\n\n        crumb = None\n        sess = requests.Session()\n        sess.headers['User-Agent'] = 'backtrader'\n        for i in range(self.p.retries + 1):  # at least once\n            resp = sess.get(url, **sesskwargs)\n            if resp.status_code != requests.codes.ok:\n                continue\n\n            txt = resp.text\n            i = txt.find('CrumbStore')\n            if i == -1:\n                continue\n            i = txt.find('crumb', i)\n            if i == -1:\n                continue\n            istart = txt.find('\"', i + len('crumb') + 1)\n            if istart == -1:\n                continue\n            istart += 1\n            iend = txt.find('\"', istart)\n            if iend == -1:\n                continue\n\n            crumb = txt[istart:iend]\n            crumb = crumb.encode('ascii').decode('unicode-escape')\n            break\n\n        if crumb is None:\n            self.error = 'Crumb not found'\n            self.f = None\n            return\n\n        crumb = urlquote(crumb)\n\n        # urldown/ticker?period1=posix1&period2=posix2&interval=1d&events=history&crumb=crumb\n\n        # Try to download\n        urld = '{}/{}'.format(self.p.urldown, self.p.dataname)\n\n        urlargs = []\n        posix = date(1970, 1, 1)\n        if self.p.todate is not None:\n            period2 = (self.p.todate.date() - posix).total_seconds()\n            urlargs.append('period2={}'.format(int(period2)))\n\n        if self.p.todate is not None:\n            period1 = (self.p.fromdate.date() - posix).total_seconds()\n            urlargs.append('period1={}'.format(int(period1)))\n\n        intervals = {\n            bt.TimeFrame.Days: '1d',\n            bt.TimeFrame.Weeks: '1wk',\n            bt.TimeFrame.Months: '1mo',\n        }\n\n        urlargs.append('interval={}'.format(intervals[self.p.timeframe]))\n        urlargs.append('events=history')\n        urlargs.append('crumb={}'.format(crumb))\n\n        urld = '{}?{}'.format(urld, '&'.join(urlargs))\n        f = None\n        for i in range(self.p.retries + 1):  # at least once\n            resp = sess.get(urld, **sesskwargs)\n            if resp.status_code != requests.codes.ok:\n                continue\n\n            ctype = resp.headers['Content-Type']\n            # Cover as many text types as possible for Yahoo changes\n            if not ctype.startswith('text/'):\n                self.error = 'Wrong content type: %s' % ctype\n                continue  # HTML returned? wrong url?\n\n            # buffer everything from the socket into a local buffer\n            try:\n                # r.encoding = 'UTF-8'\n                f = io.StringIO(resp.text, newline=None)\n            except Exception:\n                continue  # try again if possible\n\n            break\n\n        self.f = f\n\n    def start(self):\n        self.start_v7()\n\n        # Prepared a \"path\" file -  CSV Parser can take over\n        super(YahooFinanceData, self).start()\n\n\nclass YahooFinance(feed.CSVFeedBase):\n    DataCls = YahooFinanceData\n\n    params = DataCls.params._gettuple()\n"
  },
  {
    "path": "backtrader/fillers.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom backtrader.utils.py3 import MAXINT, with_metaclass\n\nfrom backtrader.metabase import MetaParams\n\n\nclass FixedSize(with_metaclass(MetaParams, object)):\n    '''Returns the execution size for a given order using a *percentage* of the\n    volume in a bar.\n\n    This percentage is set with the parameter ``perc``\n\n    Params:\n\n      - ``size`` (default: ``None``)  maximum size to be executed. The actual\n        volume of the bar at execution time is also a limit if smaller than the\n        size\n\n        If the value of this parameter evaluates to False, the entire volume\n        of the bar will be used to match the order\n    '''\n    params = (('size', None),)\n\n    def __call__(self, order, price, ago):\n        size = self.p.size or MAXINT\n        return min((order.data.volume[ago], abs(order.executed.remsize), size))\n\n\nclass FixedBarPerc(with_metaclass(MetaParams, object)):\n    '''Returns the execution size for a given order using a *percentage* of the\n    volume in a bar.\n\n    This percentage is set with the parameter ``perc``\n\n    Params:\n\n      - ``perc`` (default: ``100.0``) (valied values: ``0.0 - 100.0``)\n\n        Percentage of the volume bar to use to execute an order\n    '''\n    params = (('perc', 100.0),)\n\n    def __call__(self, order, price, ago):\n        # Get the volume and scale it to the requested perc\n        maxsize = (order.data.volume[ago] * self.p.perc) // 100\n        # Return the maximum possible executed volume\n        return min(maxsize, abs(order.executed.remsize))\n\n\nclass BarPointPerc(with_metaclass(MetaParams, object)):\n    '''Returns the execution size for a given order. The volume will be\n    distributed uniformly in the range *high*-*low* using ``minmov`` to\n    partition.\n\n    From the allocated volume for the given price, the ``perc`` percentage will\n    be used\n\n    Params:\n\n      - ``minmov`` (default: ``0.01``)\n\n        Minimum price movement. Used to partition the range *high*-*low* to\n        proportionally distribute the volume amongst possible prices\n\n      - ``perc`` (default: ``100.0``) (valied values: ``0.0 - 100.0``)\n\n        Percentage of the volume allocated to the order execution price to use\n        for matching\n\n    '''\n    params = (\n        ('minmov', None),\n        ('perc', 100.0),\n    )\n\n    def __call__(self, order, price, ago):\n        data = order.data\n        minmov = self.p.minmov\n\n        parts = 1\n        if minmov:\n            # high - low + minmov to account for open ended minus op\n            parts = (data.high[ago] - data.low[ago] + minmov) // minmov\n\n        alloc_vol = ((data.volume[ago] / parts) * self.p.perc) // 100.0\n\n        # return max possible executable volume\n        return min(alloc_vol, abs(order.executed.remsize))\n"
  },
  {
    "path": "backtrader/filters/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .. import Filter\n\nfrom .datafilter import *\nfrom .datafiller import *\nfrom .session import *\nfrom .calendardays import *\nfrom .daysteps import *\nfrom .bsplitter import *\nfrom .heikinashi import *\nfrom .renko import *\n"
  },
  {
    "path": "backtrader/filters/bsplitter.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\nimport backtrader as bt\n\n\nclass DaySplitter_Close(bt.with_metaclass(bt.MetaParams, object)):\n    '''\n    Splits a daily bar in two parts simulating 2 ticks which will be used to\n    replay the data:\n\n      - First tick: ``OHLX``\n\n        The ``Close`` will be replaced by the *average* of ``Open``, ``High``\n        and ``Low``\n\n        The session opening time is used for this tick\n\n      and\n\n      - Second tick: ``CCCC``\n\n        The ``Close`` price will be used for the four components of the price\n\n        The session closing time is used for this tick\n\n    The volume will be split amongst the 2 ticks using the parameters:\n\n      - ``closevol`` (default: ``0.5``) The value indicate which percentage, in\n        absolute terms from 0.0 to 1.0, has to be assigned to the *closing*\n        tick. The rest will be assigned to the ``OHLX`` tick.\n\n    **This filter is meant to be used together with** ``cerebro.replaydata``\n\n    '''\n    params = (\n        ('closevol', 0.5),  # 0 -> 1 amount of volume to keep for close\n    )\n\n    # replaying = True\n\n    def __init__(self, data):\n        self.lastdt = None\n\n    def __call__(self, data):\n        # Make a copy of the new bar and remove it from stream\n        datadt = data.datetime.date()  # keep the date\n\n        if self.lastdt == datadt:\n            return False  # skip bars that come again in the filter\n\n        self.lastdt = datadt  # keep ref to last seen bar\n\n        # Make a copy of current data for ohlbar\n        ohlbar = [data.lines[i][0] for i in range(data.size())]\n        closebar = ohlbar[:]  # Make a copy for the close\n\n        # replace close price with o-h-l average\n        ohlprice = ohlbar[data.Open] + ohlbar[data.High] + ohlbar[data.Low]\n        ohlbar[data.Close] = ohlprice / 3.0\n\n        vol = ohlbar[data.Volume]  # adjust volume\n        ohlbar[data.Volume] = vohl = int(vol * (1.0 - self.p.closevol))\n\n        oi = ohlbar[data.OpenInterest]  # adjust open interst\n        ohlbar[data.OpenInterest] = 0\n\n        # Adjust times\n        dt = datetime.datetime.combine(datadt, data.p.sessionstart)\n        ohlbar[data.DateTime] = data.date2num(dt)\n\n        # Ajust closebar to generate a single tick -> close price\n        closebar[data.Open] = cprice = closebar[data.Close]\n        closebar[data.High] = cprice\n        closebar[data.Low] = cprice\n        closebar[data.Volume] = vol - vohl\n        ohlbar[data.OpenInterest] = oi\n\n        # Adjust times\n        dt = datetime.datetime.combine(datadt, data.p.sessionend)\n        closebar[data.DateTime] = data.date2num(dt)\n\n        # Update stream\n        data.backwards(force=True)  # remove the copied bar from stream\n        data._add2stack(ohlbar)  # add ohlbar to stack\n        # Add 2nd part to stash to delay processing to next round\n        data._add2stack(closebar, stash=True)\n\n        return False  # initial tick can be further processed from stack\n"
  },
  {
    "path": "backtrader/filters/calendardays.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import date, datetime, timedelta\n\nfrom backtrader import TimeFrame\nfrom backtrader.utils.py3 import with_metaclass\nfrom .. import metabase\n\n\nclass CalendarDays(with_metaclass(metabase.MetaParams, object)):\n    '''\n    Bar Filler to add missing calendar days to trading days\n\n    Params:\n\n      - fill_price (def: None):\n\n        > 0: The given value to fill\n        0 or None: Use the last known closing price\n        -1: Use the midpoint of the last bar (High-Low average)\n\n      - fill_vol (def: float('NaN')):\n\n        Value to use to fill the missing volume\n\n      - fill_oi (def: float('NaN')):\n\n        Value to use to fill the missing Open Interest\n    '''\n    params = (('fill_price', None),\n              ('fill_vol', float('NaN')),\n              ('fill_oi', float('NaN')),)\n\n    ONEDAY = timedelta(days=1)\n    lastdt = date.max\n\n    def __init__(self, data):\n        pass\n\n    def __call__(self, data):\n        '''\n        If the data has a gap larger than 1 day amongst bars, the missing bars\n        are added to the stream.\n\n        Params:\n          - data: the data source to filter/process\n\n        Returns:\n          - False (always): this filter does not remove bars from the stream\n\n        '''\n        dt = data.datetime.date()\n        if (dt - self.lastdt) > self.ONEDAY:  # gap in place\n            self._fillbars(data, dt, self.lastdt)\n\n        self.lastdt = dt\n        return False  # no bar has been removed from the stream\n\n    def _fillbars(self, data, dt, lastdt):\n        '''\n        Fills one by one bars as needed from time_start to time_end\n\n        Invalidates the control dtime_prev if requested\n        '''\n        tm = data.datetime.time(0)  # get time part\n\n        # Same price for all bars\n        if self.p.fill_price > 0:\n            price = self.p.fill_price\n        elif not self.p.fill_price:\n            price = data.close[-1]\n        elif self.p.fill_price == -1:\n            price = (data.high[-1] + data.low[-1]) / 2.0\n\n        while lastdt < dt:\n            lastdt += self.ONEDAY\n\n            # Prepare an array of the needed size\n            bar = [float('Nan')] * data.size()\n            # Fill the datetime\n            bar[data.DateTime] = data.date2num(datetime.combine(lastdt, tm))\n\n            # Fill price fields\n            for pricetype in [data.Open, data.High, data.Low, data.Close]:\n                bar[pricetype] = price\n\n            # Fill volume and open interest\n            bar[data.Volume] = self.p.fill_vol\n            bar[data.OpenInterest] = self.p.fill_oi\n\n            # Fill extra lines the data feed may have defined beyond DateTime\n            for i in range(data.DateTime + 1, data.size()):\n                bar[i] = data.lines[i][0]\n\n            # Add this constructed bar to the stack of the stream\n            data._add2stack(bar)\n\n        # Save to stack the bar that signaled the gap\n        data._save2stack(erase=True)\n"
  },
  {
    "path": "backtrader/filters/datafiller.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom datetime import datetime, timedelta\n\nfrom backtrader import AbstractDataBase, TimeFrame\n\n\nclass DataFiller(AbstractDataBase):\n    '''This class will fill gaps in the source data using the following\n    information bits from the underlying data source\n\n      - timeframe and compression to dimension the output bars\n\n      - sessionstart and sessionend\n\n    If a data feed has missing bars in between 10:31 and 10:34 and the\n    timeframe is minutes, the output will be filled with bars for minutes\n    10:32 and 10:33 using the closing price of the last bar (10:31)\n\n    Bars can be missinga amongst other things because\n\n    Params:\n      - ``fill_price`` (def: None): if None (or evaluates to False),the\n        closing price will be used, else the passed value (which can be\n        for example 'NaN' to have a missing bar in terms of evaluation but\n        present in terms of time\n\n      - ``fill_vol`` (def: NaN): used to fill the volume of missing bars\n\n      - ``fill_oi`` (def: NaN): used to fill the openinterest of missing bars\n    '''\n\n    params = (\n        ('fill_price', None),\n        ('fill_vol', float('NaN')),\n        ('fill_oi', float('NaN')),\n        )\n\n    def start(self):\n        super(DataFiller, self).start()\n        self._fillbars = collections.deque()\n        self._dbar = False\n\n    def preload(self):\n        if len(self.p.dataname) == self.p.dataname.buflen():\n            # if data is not preloaded .... do it\n            self.p.dataname.start()\n            self.p.dataname.preload()\n            self.p.dataname.home()\n\n        # Copy timeframe from data after start (some sources do autodetection)\n        self.p.timeframe = self._timeframe = self.p.dataname._timeframe\n        self.p.compression = self._compression = self.p.dataname._compression\n\n        super(DataFiller, self).preload()\n\n    def _copyfromdata(self):\n        # Data is allowed - Copy size which is \"number of lines\"\n        for i in range(self.p.dataname.size()):\n            self.lines[i][0] = self.p.dataname.lines[i][0]\n\n        self._dbar = False  # invalidate flag for read bar\n\n        return True\n\n    def _frombars(self):\n        dtime, price = self._fillbars.popleft()\n\n        price = self.p.fill_price or price\n\n        self.lines.datetime[0] = self.p.dataname.date2num(dtime)\n        self.lines.open[0] = price\n        self.lines.high[0] = price\n        self.lines.low[0] = price\n        self.lines.close[0] = price\n        self.lines.volume[0] = self.p.fill_vol\n        self.lines.openinterest[0] = self.p.fill_oi\n\n        return True\n\n    # Minimum delta unit in between bars\n    _tdeltas = {\n        TimeFrame.Minutes: timedelta(seconds=60),\n        TimeFrame.Seconds: timedelta(seconds=1),\n        TimeFrame.MicroSeconds: timedelta(microseconds=1),\n    }\n\n    def _load(self):\n        if not len(self.p.dataname):\n            self.p.dataname.start()  # start data if not done somewhere else\n\n            # Copy from underlying data\n            self._timeframe = self.p.dataname._timeframe\n            self._compression = self.p.dataname._compression\n\n            self.p.timeframe = self._timeframe\n            self.p.compression = self._compression\n\n            # Calculate and save timedelta for timeframe\n            self._tdunit = self._tdeltas[self._timeframe]\n            self._tdunit *= self._compression\n\n        if self._fillbars:\n            return self._frombars()\n\n        # use existing bar or fetch a bar\n        self._dbar = self._dbar or self.p.dataname.next()\n        if not self._dbar:\n            return False  # no more data\n\n        if len(self) == 1:\n            # Cannot yet look backwards - deliver data as is\n            return self._copyfromdata()\n\n        # previous (delivered) close\n        pclose = self.lines.close[-1]\n        # Get time of previous (already delivered) bar\n        dtime_prev = self.lines.datetime.datetime(-1)\n        # Get time of current (from data source) bar\n        dtime_cur = self.p.dataname.datetime.datetime(0)\n\n        # Calculate session end for previous bar\n        send = datetime.combine(dtime_prev.date(), self.p.dataname.sessionend)\n\n        if dtime_cur > send:  # if jumped boundary\n            # 1. check for missing bars until boundary (end)\n            dtime_prev += self._tdunit\n            while dtime_prev < send:\n                self._fillbars.append((dtime_prev, pclose))\n                dtime_prev += self._tdunit\n\n            # Calculate session start for new bar\n            sstart = datetime.combine(\n                dtime_cur.date(), self.p.dataname.sessionstart)\n\n            # 2. check for missing bars from new boundary (start)\n            # check gap from new sessionstart\n            while sstart < dtime_cur:\n                self._fillbars.append((sstart, pclose))\n                sstart += self._tdunit\n        else:\n            # no boundary jumped - check gap until current time\n            dtime_prev += self._tdunit\n            while dtime_prev < dtime_cur:\n                self._fillbars.append((dtime_prev, pclose))\n                dtime_prev += self._tdunit\n\n        if self._fillbars:\n            self._dbar = True  # flag a pending data bar is available\n\n            # return an accumulated bar in current cycle\n            return self._frombars()\n\n        return self._copyfromdata()\n"
  },
  {
    "path": "backtrader/filters/datafilter.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n\nclass DataFilter(bt.AbstractDataBase):\n    '''\n    This class filters out bars from a given data source. In addition to the\n    standard parameters of a DataBase it takes a ``funcfilter`` parameter which\n    can be any callable\n\n    Logic:\n\n      - ``funcfilter`` will be called with the underlying data source\n\n        It can be any callable\n\n        - Return value ``True``: current data source bar values will used\n        - Return value ``False``: current data source bar values will discarded\n    '''\n    params = (('funcfilter', None),)\n\n    def preload(self):\n        if len(self.p.dataname) == self.p.dataname.buflen():\n            # if data is not preloaded .... do it\n            self.p.dataname.start()\n            self.p.dataname.preload()\n            self.p.dataname.home()\n\n        # Copy timeframe from data after start (some sources do autodetection)\n        self.p.timeframe = self._timeframe = self.p.dataname._timeframe\n        self.p.compression = self._compression = self.p.dataname._compression\n\n        super(DataFilter, self).preload()\n\n    def _load(self):\n        if not len(self.p.dataname):\n            self.p.dataname.start()  # start data if not done somewhere else\n\n        # Tell underlying source to get next data\n        while self.p.dataname.next():\n            # Try to load the data from the underlying source\n            if not self.p.funcfilter(self.p.dataname):\n                continue\n\n            # Data is allowed - Copy size which is \"number of lines\"\n            for i in range(self.p.dataname.size()):\n                self.lines[i][0] = self.p.dataname.lines[i][0]\n\n            return True\n\n        return False  # no more data from underlying source\n"
  },
  {
    "path": "backtrader/filters/daysteps.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nclass BarReplayer_Open(object):\n    '''\n    This filters splits a bar in two parts:\n\n      - ``Open``: the opening price of the bar will be used to deliver an\n        initial price bar in which the four components (OHLC) are equal\n\n        The volume/openinterest fields are 0 for this initial bar\n\n      - ``OHLC``: the original bar is delivered complete with the original\n        ``volume``/``openinterest``\n\n    The split simulates a replay without the need to use the *replay* filter.\n    '''\n    def __init__(self, data):\n        self.pendingbar = None\n        data.resampling = 1\n        data.replaying = True\n\n    def __call__(self, data):\n        ret = True\n\n        # Make a copy of the new bar and remove it from stream\n        newbar = [data.lines[i][0] for i in range(data.size())]\n        data.backwards()  # remove the copied bar from stream\n\n        openbar = newbar[:]  # Make an open only bar\n        o = newbar[data.Open]\n        for field_idx in [data.High, data.Low, data.Close]:\n            openbar[field_idx] = o\n\n        # Nullify Volume/OpenInteres at the open\n        openbar[data.Volume] = 0.0\n        openbar[data.OpenInterest] = 0.0\n\n        # Overwrite the new data bar with our pending data - except start point\n        if self.pendingbar is not None:\n            data._updatebar(self.pendingbar)\n            ret = False\n\n        self.pendingbar = newbar  # update the pending bar to the new bar\n        data._add2stack(openbar)  # Add the openbar to the stack for processing\n\n        return ret  # the length of the stream was not changed\n\n    def last(self, data):\n        '''Called when the data is no longer producing bars\n        Can be called multiple times. It has the chance to (for example)\n        produce extra bars'''\n        if self.pendingbar is not None:\n            data.backwards()  # remove delivered open bar\n            data._add2stack(self.pendingbar)  # add remaining\n            self.pendingbar = None  # No further action\n            return True  # something delivered\n\n        return False  # nothing delivered here\n\n\n# Alias\nDayStepsFilter = BarReplayer_Open\n"
  },
  {
    "path": "backtrader/filters/heikinashi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\n__all__ = ['HeikinAshi']\n\n\nclass HeikinAshi(object):\n    '''\n    The filter remodels the open, high, low, close to make HeikinAshi\n    candlesticks\n\n    See:\n      - https://en.wikipedia.org/wiki/Candlestick_chart#Heikin_Ashi_candlesticks\n      - http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:heikin_ashi\n\n    '''\n    def __init__(self, data):\n        pass\n\n    def __call__(self, data):\n        o, h, l, c = data.open[0], data.high[0], data.low[0], data.close[0]\n\n        data.close[0] = ha_close0 = (o + h + l + c) / 4.0\n\n        if len(data) > 1:\n            data.open[0] = ha_open0 = (data.open[-1] + data.close[-1]) / 2.0\n            data.high[0] = max(ha_open0, ha_close0, h)\n            data.low[0] = min(ha_open0, ha_close0, l)\n\n        else:  # len is 1, no lookback is possible\n            data.open[0] = ha_open0 = (o + c) / 2.0\n\n        return False  # length of data stream is unaltered\n"
  },
  {
    "path": "backtrader/filters/renko.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import Filter\n\n\n__all__ = ['Renko']\n\n\nclass Renko(Filter):\n    '''Modify the data stream to draw Renko bars (or bricks)\n\n    Params:\n\n      - ``hilo`` (default: *False*) Use high and low instead of close to decide\n        if a new brick is needed\n\n      - ``size`` (default: *None*) The size to consider for each brick\n\n      - ``autosize`` (default: *20.0*) If *size* is *None*, this will be used\n        to autocalculate the size of the bricks (simply dividing the current\n        price by the given value)\n\n      - ``dynamic`` (default: *False*) If *True* and using *autosize*, the size\n        of the bricks will be recalculated when moving to a new brick. This\n        will of course eliminate the perfect alignment of Renko bricks.\n\n      - ``align`` (default: *1.0*) Factor use to align the price boundaries of\n        the bricks. If the price is for example *3563.25* and *align* is\n        *10.0*, the resulting aligned price will be *3560*. The calculation:\n\n          - 3563.25 / 10.0 = 356.325\n          - round it and remove the decimals -> 356\n          - 356 * 10.0 -> 3560\n\n      - ``roundstart`` (default: *True*)  If *True*, round the initial start\n        value to int. Else keep the original value, which should aid when\n        backtesting penny stocks\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:renko\n\n    '''\n\n    params = (\n        ('hilo', False),\n        ('size', None),\n        ('autosize', 20.0),\n        ('dynamic', False),\n        ('align', 1.0),\n        ('roundstart', True),\n    )\n\n    def nextstart(self, data):\n        o = data.open[0]\n        o = round(o / self.p.align, 0) * self.p.align  # aligned\n        self._size = self.p.size or float(o // self.p.autosize)\n        if self.p.roundstart:\n            o = int(o)\n\n        self._top = o + self._size\n        self._bot = o - self._size\n\n    def next(self, data):\n        c = data.close[0]\n        h = data.high[0]\n        l = data.low[0]\n\n        if self.p.hilo:\n            hiprice = h\n            loprice = l\n        else:\n            hiprice = loprice = c\n\n        if hiprice >= self._top:\n            # deliver a renko brick from top -> top + size\n            self._bot = bot = self._top\n\n            if self.p.size is None and self.p.dynamic:\n                self._size = float(c // self.p.autosize)\n                top = bot + self._size\n                top = round(top / self.p.align, 0) * self.p.align  # aligned\n            else:\n                top = bot + self._size\n\n            self._top = top\n\n            data.open[0] = bot\n            data.low[0] = bot\n            data.high[0] = top\n            data.close[0] = top\n            data.volume[0] = 0.0\n            data.openinterest[0] = 0.0\n            return False  # length of data stream is unaltered\n\n        elif loprice <= self._bot:\n            # deliver a renko brick from bot -> bot - size\n            self._top = top = self._bot\n\n            if self.p.size is None and self.p.dynamic:\n                self._size = float(c // self.p.autosize)\n                bot = top - self._size\n                bot = round(bot / self.p.align, 0) * self.p.align  # aligned\n            else:\n                bot = top - self._size\n\n            self._bot = bot\n\n            data.open[0] = top\n            data.low[0] = top\n            data.high[0] = bot\n            data.close[0] = bot\n            data.volume[0] = 0.0\n            data.openinterest[0] = 0.0\n            return False  # length of data stream is unaltered\n\n        data.backwards()\n        return True  # length of stream was changed, get new bar\n"
  },
  {
    "path": "backtrader/filters/session.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom datetime import datetime, timedelta\n\nfrom backtrader import TimeFrame\nfrom backtrader.utils.py3 import with_metaclass\nfrom .. import metabase\n\n\nclass SessionFiller(with_metaclass(metabase.MetaParams, object)):\n    '''\n    Bar Filler for a Data Source inside the declared session start/end times.\n\n    The fill bars are constructed using the declared Data Source ``timeframe``\n    and ``compression`` (used to calculate the intervening missing times)\n\n    Params:\n\n      - fill_price (def: None):\n\n        If None is passed, the closing price of the previous bar will be\n        used. To end up with a bar which for example takes time but it is not\n        displayed in a plot ... use float('Nan')\n\n      - fill_vol (def: float('NaN')):\n\n        Value to use to fill the missing volume\n\n      - fill_oi (def: float('NaN')):\n\n        Value to use to fill the missing Open Interest\n\n      - skip_first_fill (def: True):\n\n        Upon seeing the 1st valid bar do not fill from the sessionstart up to\n        that bar\n    '''\n    params = (('fill_price', None),\n              ('fill_vol', float('NaN')),\n              ('fill_oi', float('NaN')),\n              ('skip_first_fill', True))\n\n    MAXDATE = datetime.max\n\n    # Minimum delta unit in between bars\n    _tdeltas = {\n        TimeFrame.Minutes: timedelta(seconds=60),\n        TimeFrame.Seconds: timedelta(seconds=1),\n        TimeFrame.MicroSeconds: timedelta(microseconds=1),\n    }\n\n    def __init__(self, data):\n        # Calculate and save timedelta for timeframe\n        self._tdframe = self._tdeltas[data._timeframe]\n        self._tdunit = self._tdeltas[data._timeframe] * data._compression\n\n        self.seenbar = False  # control if at least one bar has been seen\n        self.sessend = self.MAXDATE  # maxdate is the control for session bar\n\n    def __call__(self, data):\n        '''\n        Params:\n          - data: the data source to filter/process\n\n        Returns:\n          - False (always) because this filter does not remove bars from the\n        stream\n\n        The logic (starting with a session end control flag of MAXDATE)\n\n          - If new bar is over session end (never true for 1st bar)\n\n            Fill up to session end. Reset sessionend to MAXDATE & fall through\n\n          - If session end is flagged as MAXDATE\n\n            Recalculate session limits and check whether the bar is within them\n\n            if so, fill up and record the last seen tim\n\n          - Else ... the incoming bar is in the session, fill up to it\n        '''\n        # Get time of current (from data source) bar\n        ret = False\n\n        dtime_cur = data.datetime.datetime()\n\n        if dtime_cur > self.sessend:\n            # bar over session end - fill up and invalidate\n            # Do not put current bar in stack to let it be evaluated below\n            # Fill up to endsession + smallest unit of timeframe\n            ret = self._fillbars(data, self.dtime_prev,\n                                 self.sessend + self._tdframe,\n                                 tostack=False)\n            self.sessend = self.MAXDATE\n\n        # Fall through from previous check ... the bar which is over the\n        # session could already be in a new session and within the limits\n        if self.sessend == self.MAXDATE:\n            # No bar seen yet or one went over previous session limit\n            ddate = dtime_cur.date()\n            sessstart = datetime.combine(ddate, data.p.sessionstart)\n            self.sessend = sessend = datetime.combine(ddate, data.p.sessionend)\n\n            if sessstart <= dtime_cur <= sessend:\n                # 1st bar from session in the session - fill from session start\n                if self.seenbar or not self.p.skip_first_fill:\n                    ret = self._fillbars(data,\n                                         sessstart - self._tdunit, dtime_cur)\n\n            self.seenbar = True\n            self.dtime_prev = dtime_cur\n\n        else:\n            # Seen a previous bar and this is in the session - fill up to it\n            ret = self._fillbars(data, self.dtime_prev, dtime_cur)\n            self.dtime_prev = dtime_cur\n\n        return ret\n\n    def _fillbars(self, data, time_start, time_end, tostack=True):\n        '''\n        Fills one by one bars as needed from time_start to time_end\n\n        Invalidates the control dtime_prev if requested\n        '''\n        # Control flag - bars added to the stack\n        dirty = 0\n\n        time_start += self._tdunit\n        while time_start < time_end:\n            dirty += self._fillbar(data, time_start)\n            time_start += self._tdunit\n\n        if dirty and tostack:\n            data._save2stack(erase=True)\n\n        return bool(dirty) or not tostack\n\n    def _fillbar(self, data, dtime):\n        # Prepare an array of the needed size\n        bar = [float('Nan')] * data.size()\n\n        # Fill datetime\n        bar[data.DateTime] = data.date2num(dtime)\n\n        # Fill the prices\n        price = self.p.fill_price or data.close[-1]\n        for pricetype in [data.Open, data.High, data.Low, data.Close]:\n            bar[pricetype] = price\n\n        # Fill volume and open interest\n        bar[data.Volume] = self.p.fill_vol\n        bar[data.OpenInterest] = self.p.fill_oi\n\n        # Fill extra lines the data feed may have defined beyond DateTime\n        for i in range(data.DateTime + 1, data.size()):\n            bar[i] = data.lines[i][0]\n\n        # Add tot he stack of bars to save\n        data._add2stack(bar)\n\n        return True\n\n\nclass SessionFilterSimple(with_metaclass(metabase.MetaParams, object)):\n    '''\n    This class can be applied to a data source as a filter and will filter out\n    intraday bars which fall outside of the regular session times (ie: pre/post\n    market data)\n\n    This is a \"simple\" filter and must NOT manage the stack of the data (passed\n    during init and __call__)\n\n    It needs no \"last\" method because it has nothing to deliver\n\n    Bar Management will be done by the SimpleFilterWrapper class made which is\n    added durint the DataBase.addfilter_simple call\n    '''\n    def __init__(self, data):\n        pass\n\n    def __call__(self, data):\n        '''\n        Return Values:\n\n          - False: nothing to filter\n          - True: filter current bar (because it's not in the session times)\n        '''\n        # Both ends of the comparison are in the session\n        return not (\n            data.p.sessionstart <= data.datetime.time(0) <= data.p.sessionend)\n\n\nclass SessionFilter(with_metaclass(metabase.MetaParams, object)):\n    '''\n    This class can be applied to a data source as a filter and will filter out\n    intraday bars which fall outside of the regular session times (ie: pre/post\n    market data)\n\n    This is a \"non-simple\" filter and must manage the stack of the data (passed\n    during init and __call__)\n\n    It needs no \"last\" method because it has nothing to deliver\n    '''\n    def __init__(self, data):\n        pass\n\n    def __call__(self, data):\n        '''\n        Return Values:\n\n          - False: data stream was not touched\n          - True: data stream was manipulated (bar outside of session times and\n          - removed)\n        '''\n        if data.p.sessionstart <= data.datetime.time(0) <= data.p.sessionend:\n            # Both ends of the comparison are in the session\n            return False  # say the stream is untouched\n\n        # bar outside of the regular session times\n        data.backwards()  # remove bar from data stack\n        return True  # signal the data was manipulated\n"
  },
  {
    "path": "backtrader/flt.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .metabase import MetaParams\nfrom .utils.py3 import with_metaclass\n\n\n__all__ = ['Filter']\n\n\nclass MetaFilter(MetaParams):\n    pass\n\n\nclass Filter(with_metaclass(MetaParams, object)):\n\n    _firsttime = True\n\n    def __init__(self, data):\n        pass\n\n    def __call__(self, data):\n        if self._firsttime:\n            self.nextstart(data)\n            self._firsttime = False\n\n        self.next(data)\n\n    def nextstart(self, data):\n        pass\n\n    def next(self, data):\n        pass\n"
  },
  {
    "path": "backtrader/functions.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport functools\nimport math\n\nfrom .linebuffer import LineActions\nfrom .utils.py3 import cmp, range\n\n\n# Generate a List equivalent which uses \"is\" for contains\nclass List(list):\n    def __contains__(self, other):\n        return any(x.__hash__() == other.__hash__() for x in self)\n\n\nclass Logic(LineActions):\n    def __init__(self, *args):\n        super(Logic, self).__init__()\n        self.args = [self.arrayize(arg) for arg in args]\n\n\nclass DivByZero(Logic):\n    '''This operation is a Lines object and fills it values by executing a\n    division on the numerator / denominator arguments and avoiding a division\n    by zero exception by checking the denominator\n\n    Params:\n      - a: numerator (numeric or iterable object ... mostly a Lines object)\n      - b: denominator (numeric or iterable object ... mostly a Lines object)\n      - zero (def: 0.0): value to apply if division by zero would be raised\n\n    '''\n    def __init__(self, a, b, zero=0.0):\n        super(DivByZero, self).__init__(a, b)\n        self.a = a\n        self.b = b\n        self.zero = zero\n\n    def next(self):\n        b = self.b[0]\n        self[0] = self.a[0] / b if b else self.zero\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n        zero = self.zero\n\n        for i in range(start, end):\n            b = srcb[i]\n            dst[i] = srca[i] / b if b else zero\n\n\nclass DivZeroByZero(Logic):\n    '''This operation is a Lines object and fills it values by executing a\n    division on the numerator / denominator arguments and avoiding a division\n    by zero exception or an indetermination by checking the\n    denominator/numerator pair\n\n    Params:\n      - a: numerator (numeric or iterable object ... mostly a Lines object)\n      - b: denominator (numeric or iterable object ... mostly a Lines object)\n      - single (def: +inf): value to apply if division is x / 0\n      - dual (def: 0.0): value to apply if division is 0 / 0\n    '''\n    def __init__(self, a, b, single=float('inf'), dual=0.0):\n        super(DivZeroByZero, self).__init__(a, b)\n        self.a = a\n        self.b = b\n        self.single = single\n        self.dual = dual\n\n    def next(self):\n        b = self.b[0]\n        a = self.a[0]\n        if b == 0.0:\n            self[0] = self.dual if a == 0.0 else self.single\n        else:\n            self[0] = self.a[0] / b\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n        single = self.single\n        dual = self.dual\n\n        for i in range(start, end):\n            b = srcb[i]\n            a = srca[i]\n            if b == 0.0:\n                dst[i] = dual if a == 0.0 else single\n            else:\n                dst[i] = a / b\n\n\nclass Cmp(Logic):\n    def __init__(self, a, b):\n        super(Cmp, self).__init__(a, b)\n        self.a = self.args[0]\n        self.b = self.args[1]\n\n    def next(self):\n        self[0] = cmp(self.a[0], self.b[0])\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n\n        for i in range(start, end):\n            dst[i] = cmp(srca[i], srcb[i])\n\n\nclass CmpEx(Logic):\n    def __init__(self, a, b, r1, r2, r3):\n        super(CmpEx, self).__init__(a, b, r1, r2, r3)\n        self.a = self.args[0]\n        self.b = self.args[1]\n        self.r1 = self.args[2]\n        self.r2 = self.args[3]\n        self.r3 = self.args[4]\n\n    def next(self):\n        self[0] = cmp(self.a[0], self.b[0])\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n        r1 = self.r1.array\n        r2 = self.r2.array\n        r3 = self.r3.array\n\n        for i in range(start, end):\n            ai = srca[i]\n            bi = srcb[i]\n\n            if ai < bi:\n                dst[i] = r1[i]\n            elif ai > bi:\n                dst[i] = r3[i]\n            else:\n                dst[i] = r2[i]\n\n\nclass If(Logic):\n    def __init__(self, cond, a, b):\n        super(If, self).__init__(a, b)\n        self.a = self.args[0]\n        self.b = self.args[1]\n        self.cond = self.arrayize(cond)\n\n    def next(self):\n        self[0] = self.a[0] if self.cond[0] else self.b[0]\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n        cond = self.cond.array\n\n        for i in range(start, end):\n            dst[i] = srca[i] if cond[i] else srcb[i]\n\n\nclass MultiLogic(Logic):\n    def next(self):\n        self[0] = self.flogic([arg[0] for arg in self.args])\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        arrays = [arg.array for arg in self.args]\n        flogic = self.flogic\n\n        for i in range(start, end):\n            dst[i] = flogic([arr[i] for arr in arrays])\n\n\nclass MultiLogicReduce(MultiLogic):\n    def __init__(self, *args, **kwargs):\n        super(MultiLogicReduce, self).__init__(*args)\n        if 'initializer' not in kwargs:\n            self.flogic = functools.partial(functools.reduce, self.flogic)\n        else:\n            self.flogic = functools.partial(functools.reduce, self.flogic,\n                                            initializer=kwargs['initializer'])\n\n\nclass Reduce(MultiLogicReduce):\n    def __init__(self, flogic, *args, **kwargs):\n        self.flogic = flogic\n        super(Reduce, self).__init__(*args, **kwargs)\n\n\n# The _xxxlogic functions are defined at module scope to make them\n# pickable and therefore compatible with multiprocessing\ndef _andlogic(x, y):\n    return bool(x and y)\n\n\nclass And(MultiLogicReduce):\n    flogic = staticmethod(_andlogic)\n\n\ndef _orlogic(x, y):\n    return bool(x or y)\n\n\nclass Or(MultiLogicReduce):\n    flogic = staticmethod(_orlogic)\n\n\nclass Max(MultiLogic):\n    flogic = max\n\n\nclass Min(MultiLogic):\n    flogic = min\n\n\nclass Sum(MultiLogic):\n    flogic = math.fsum\n\n\nclass Any(MultiLogic):\n    flogic = any\n\n\nclass All(MultiLogic):\n    flogic = all\n"
  },
  {
    "path": "backtrader/indicator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .utils.py3 import range, with_metaclass\n\nfrom .lineiterator import LineIterator, IndicatorBase\nfrom .lineseries import LineSeriesMaker, Lines\nfrom .metabase import AutoInfoClass\n\n\nclass MetaIndicator(IndicatorBase.__class__):\n    _refname = '_indcol'\n    _indcol = dict()\n\n    _icache = dict()\n    _icacheuse = False\n\n    @classmethod\n    def cleancache(cls):\n        cls._icache = dict()\n\n    @classmethod\n    def usecache(cls, onoff):\n        cls._icacheuse = onoff\n\n    # Object cache deactivated on 2016-08-17. If the object is being used\n    # inside another object, the minperiod information carried over\n    # influences the first usage when being modified during the 2nd usage\n\n    def __call__(cls, *args, **kwargs):\n        if not cls._icacheuse:\n            return super(MetaIndicator, cls).__call__(*args, **kwargs)\n\n        # implement a cache to avoid duplicating lines actions\n        ckey = (cls, tuple(args), tuple(kwargs.items()))  # tuples hashable\n        try:\n            return cls._icache[ckey]\n        except TypeError:  # something not hashable\n            return super(MetaIndicator, cls).__call__(*args, **kwargs)\n        except KeyError:\n            pass  # hashable but not in the cache\n\n        _obj = super(MetaIndicator, cls).__call__(*args, **kwargs)\n        return cls._icache.setdefault(ckey, _obj)\n\n    def __init__(cls, name, bases, dct):\n        '''\n        Class has already been created ... register subclasses\n        '''\n        # Initialize the class\n        super(MetaIndicator, cls).__init__(name, bases, dct)\n\n        if not cls.aliased and \\\n           name != 'Indicator' and not name.startswith('_'):\n            refattr = getattr(cls, cls._refname)\n            refattr[name] = cls\n\n        # Check if next and once have both been overridden\n        next_over = cls.next != IndicatorBase.next\n        once_over = cls.once != IndicatorBase.once\n\n        if next_over and not once_over:\n            # No -> need pointer movement to once simulation via next\n            cls.once = cls.once_via_next\n            cls.preonce = cls.preonce_via_prenext\n            cls.oncestart = cls.oncestart_via_nextstart\n\n\nclass Indicator(with_metaclass(MetaIndicator, IndicatorBase)):\n    _ltype = LineIterator.IndType\n\n    csv = False\n\n    def advance(self, size=1):\n        # Need intercepting this call to support datas with\n        # different lengths (timeframes)\n        if len(self) < len(self._clock):\n            self.lines.advance(size=size)\n\n    def preonce_via_prenext(self, start, end):\n        # generic implementation if prenext is overridden but preonce is not\n        for i in range(start, end):\n            for data in self.datas:\n                data.advance()\n\n            for indicator in self._lineiterators[LineIterator.IndType]:\n                indicator.advance()\n\n            self.advance()\n            self.prenext()\n\n    def oncestart_via_nextstart(self, start, end):\n        # nextstart has been overriden, but oncestart has not and the code is\n        # here. call the overriden nextstart\n        for i in range(start, end):\n            for data in self.datas:\n                data.advance()\n\n            for indicator in self._lineiterators[LineIterator.IndType]:\n                indicator.advance()\n\n            self.advance()\n            self.nextstart()\n\n    def once_via_next(self, start, end):\n        # Not overridden, next must be there ...\n        for i in range(start, end):\n            for data in self.datas:\n                data.advance()\n\n            for indicator in self._lineiterators[LineIterator.IndType]:\n                indicator.advance()\n\n            self.advance()\n            self.next()\n\n\nclass MtLinePlotterIndicator(Indicator.__class__):\n    def donew(cls, *args, **kwargs):\n        lname = kwargs.pop('name')\n        name = cls.__name__\n\n        lines = getattr(cls, 'lines', Lines)\n        cls.lines = lines._derive(name, (lname,), 0, [])\n\n        plotlines = AutoInfoClass\n        newplotlines = dict()\n        newplotlines.setdefault(lname, dict())\n        cls.plotlines = plotlines._derive(name, newplotlines, [], recurse=True)\n\n        # Create the object and set the params in place\n        _obj, args, kwargs =  \\\n            super(MtLinePlotterIndicator, cls).donew(*args, **kwargs)\n\n        _obj.owner = _obj.data.owner._clock\n        _obj.data.lines[0].addbinding(_obj.lines[0])\n\n        # Return the object and arguments to the chain\n        return _obj, args, kwargs\n\n\nclass LinePlotterIndicator(with_metaclass(MtLinePlotterIndicator, Indicator)):\n    pass\n"
  },
  {
    "path": "backtrader/indicators/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom backtrader import Indicator\nfrom backtrader.functions import *\n\n# The modules below should/must define __all__ with the Indicator objects\n# of prepend an \"_\" (underscore) to private classes/variables\n\nfrom .basicops import *\n\n# base for moving averages\nfrom .mabase import *\n\n# moving averages (so envelope and oscillators can be auto-generated)\nfrom .sma import *\nfrom .ema import *\nfrom .smma import *\nfrom .wma import *\nfrom .dema import *\nfrom .kama import *\nfrom .zlema import *\nfrom .hma import *\nfrom .zlind import *\nfrom .dma import *\n\n# depends on moving averages\nfrom .deviation import *\n\n# depend on basicops, moving averages and deviations\nfrom .atr import *\nfrom .aroon import *\nfrom .bollinger import *\nfrom .cci import *\nfrom .crossover import *\nfrom .dpo import *\nfrom .directionalmove import *\nfrom .envelope import *\nfrom .heikinashi import *\nfrom .lrsi import *\nfrom .macd import *\nfrom .momentum import *\nfrom .oscillator import *\nfrom .percentchange import *\nfrom .percentrank import *\nfrom .pivotpoint import *\nfrom .prettygoodoscillator import *\nfrom .priceoscillator import *\nfrom .psar import *\nfrom .rsi import *\nfrom .stochastic import *\nfrom .trix import *\nfrom .tsi import *\nfrom .ultimateoscillator import *\nfrom .williams import *\nfrom .rmi import *\nfrom .awesomeoscillator import *\nfrom .accdecoscillator import *\n\n\nfrom .dv2 import *  # depends on percentrank\n\n# Depends on Momentum\nfrom .kst import *\n\nfrom .ichimoku import *\n\nfrom .hurst import *\nfrom .ols import *\nfrom .hadelta import *\n"
  },
  {
    "path": "backtrader/indicators/accdecoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Ssoftware Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import MovAv, AwesomeOscillator\n\n\n__all__ = ['AccelerationDecelerationOscillator', 'AccDeOsc']\n\n\nclass AccelerationDecelerationOscillator(bt.Indicator):\n    '''\n    Acceleration/Deceleration Technical Indicator (AC) measures acceleration\n    and deceleration of the current driving force. This indicator will change\n    direction before any changes in the driving force, which, it its turn, will\n    change its direction before the price.\n\n    Formula:\n     - AcdDecOsc = AwesomeOscillator - SMA(AwesomeOscillator, period)\n\n    See:\n      - https://www.metatrader5.com/en/terminal/help/indicators/bw_indicators/ao\n      - https://www.ifcmarkets.com/en/ntx-indicators/ntx-indicators-accelerator-decelerator-oscillator\n\n    '''\n    alias = ('AccDeOsc',)\n    lines = ('accde', )\n\n    params = (\n        ('period', 5),\n        ('movav', MovAv.SMA),\n    )\n\n    plotlines = dict(accde=dict(_method='bar', alpha=0.50, width=1.0))\n\n    def __init__(self):\n        ao = AwesomeOscillator()\n        self.l.accde = ao - self.p.movav(ao, period=self.p.period)\n        super(AccelerationDecelerationOscillator, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/aroon.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, FindFirstIndexHighest, FindFirstIndexLowest\n\n\nclass _AroonBase(Indicator):\n    '''\n    Base class which does the calculation of the AroonUp/AroonDown values and\n    defines the common parameters.\n\n    It uses the class attributes _up and _down (boolean flags) to decide which\n    value has to be calculated.\n\n    Values are not assigned to lines but rather stored in the \"up\" and \"down\"\n    instance variables, which can be used by subclasses to for assignment or\n    further calculations\n    '''\n    _up = False\n    _down = False\n\n    params = (('period', 14), ('upperband', 70), ('lowerband', 30),)\n    plotinfo = dict(plotymargin=0.05, plotyhlines=[0, 100])\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        return plabels\n\n    def _plotinit(self):\n        self.plotinfo.plotyhlines += [self.p.lowerband, self.p.upperband]\n\n    def __init__(self):\n        # Look backwards period + 1 for current data because the formula mus\n        # produce values between 0 and 100 and can only do that if the\n        # calculated hhidx/llidx go from 0 to period (hence period + 1 values)\n        idxperiod = self.p.period + 1\n\n        if self._up:\n            hhidx = FindFirstIndexHighest(self.data.high, period=idxperiod)\n            self.up = (100.0 / self.p.period) * (self.p.period - hhidx)\n\n        if self._down:\n            llidx = FindFirstIndexLowest(self.data.low, period=idxperiod)\n            self.down = (100.0 / self.p.period) * (self.p.period - llidx)\n\n        super(_AroonBase, self).__init__()\n\n\nclass AroonUp(_AroonBase):\n    '''\n    This is the AroonUp from the indicator AroonUpDown developed by Tushar\n    Chande in 1995.\n\n    Formula:\n      - up = 100 * (period - distance to highest high) / period\n\n    Note:\n      The lines oscillate between 0 and 100. That means that the \"distance\" to\n      the last highest or lowest must go from 0 to period so that the formula\n      can yield 0 and 100.\n\n      Hence the lookback period is period + 1, because the current bar is also\n      taken into account. And therefore this indicator needs an effective\n      lookback period of period + 1.\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon\n    '''\n    _up = True\n\n    lines = ('aroonup',)\n\n    def __init__(self):\n        super(AroonUp, self).__init__()\n\n        self.lines.aroonup = self.up\n\n\nclass AroonDown(_AroonBase):\n    '''\n    This is the AroonDown from the indicator AroonUpDown developed by Tushar\n    Chande in 1995.\n\n    Formula:\n      - down = 100 * (period - distance to lowest low) / period\n\n    Note:\n      The lines oscillate between 0 and 100. That means that the \"distance\" to\n      the last highest or lowest must go from 0 to period so that the formula\n      can yield 0 and 100.\n\n      Hence the lookback period is period + 1, because the current bar is also\n      taken into account. And therefore this indicator needs an effective\n      lookback period of period + 1.\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon\n    '''\n    _down = True\n\n    lines = ('aroondown',)\n\n    def __init__(self):\n        super(AroonDown, self).__init__()\n\n        self.lines.aroondown = self.down\n\n\nclass AroonUpDown(AroonUp, AroonDown):\n    '''\n    Developed by Tushar Chande in 1995.\n\n    It tries to determine if a trend exists or not by calculating how far away\n    within a given period the last highs/lows are (AroonUp/AroonDown)\n\n    Formula:\n      - up = 100 * (period - distance to highest high) / period\n      - down = 100 * (period - distance to lowest low) / period\n\n    Note:\n      The lines oscillate between 0 and 100. That means that the \"distance\" to\n      the last highest or lowest must go from 0 to period so that the formula\n      can yield 0 and 100.\n\n      Hence the lookback period is period + 1, because the current bar is also\n      taken into account. And therefore this indicator needs an effective\n      lookback period of period + 1.\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon\n    '''\n    alias = ('AroonIndicator',)\n\n\nclass AroonOscillator(_AroonBase):\n    '''\n    It is a variation of the AroonUpDown indicator which shows the current\n    difference between the AroonUp and AroonDown value, trying to present a\n    visualization which indicates which is stronger (greater than 0 -> AroonUp\n    and less than 0 -> AroonDown)\n\n    Formula:\n      - aroonosc = aroonup - aroondown\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon\n    '''\n    _up = True\n    _down = True\n\n    alias = ('AroonOsc',)\n\n    lines = ('aroonosc',)\n\n    def _plotinit(self):\n        super(AroonOscillator, self)._plotinit()\n\n        for yhline in self.plotinfo.plotyhlines[:]:\n            self.plotinfo.plotyhlines.append(-yhline)\n\n    def __init__(self):\n        super(AroonOscillator, self).__init__()\n\n        self.lines.aroonosc = self.up - self.down\n\n\nclass AroonUpDownOscillator(AroonUpDown, AroonOscillator):\n    '''\n    Presents together the indicators AroonUpDown and AroonOsc\n\n    Formula:\n      (None, uses the aforementioned indicators)\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon\n    '''\n    alias = ('AroonUpDownOsc',)\n"
  },
  {
    "path": "backtrader/indicators/atr.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, Max, Min, MovAv\n\n\nclass TrueHigh(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the ATR\n\n    Records the \"true high\" which is the maximum of today's high and\n    yesterday's close\n\n    Formula:\n      - truehigh = max(high, close_prev)\n\n    See:\n      - http://en.wikipedia.org/wiki/Average_true_range\n    '''\n    lines = ('truehigh',)\n\n    def __init__(self):\n        self.lines.truehigh = Max(self.data.high, self.data.close(-1))\n        super(TrueHigh, self).__init__()\n\n\nclass TrueLow(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the ATR\n\n    Records the \"true low\" which is the minimum of today's low and\n    yesterday's close\n\n    Formula:\n      - truelow = min(low, close_prev)\n\n    See:\n      - http://en.wikipedia.org/wiki/Average_true_range\n    '''\n    lines = ('truelow',)\n\n    def __init__(self):\n        self.lines.truelow = Min(self.data.low, self.data.close(-1))\n        super(TrueLow, self).__init__()\n\n\nclass TrueRange(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book New Concepts in\n    Technical Trading Systems.\n\n    Formula:\n      - max(high - low, abs(high - prev_close), abs(prev_close - low)\n\n      which can be simplified to\n\n      - max(high, prev_close) - min(low, prev_close)\n\n    See:\n      - http://en.wikipedia.org/wiki/Average_true_range\n\n    The idea is to take the previous close into account to calculate the range\n    if it yields a larger range than the daily range (High - Low)\n    '''\n    alias = ('TR',)\n\n    lines = ('tr',)\n\n    def __init__(self):\n        self.lines.tr = TrueHigh(self.data) - TrueLow(self.data)\n        super(TrueRange, self).__init__()\n\n\nclass AverageTrueRange(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    The idea is to take the close into account to calculate the range if it\n    yields a larger range than the daily range (High - Low)\n\n    Formula:\n      - SmoothedMovingAverage(TrueRange, period)\n\n    See:\n      - http://en.wikipedia.org/wiki/Average_true_range\n    '''\n    alias = ('ATR',)\n\n    lines = ('atr',)\n    params = (('period', 14), ('movav', MovAv.Smoothed))\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        self.lines.atr = self.p.movav(TR(self.data), period=self.p.period)\n        super(AverageTrueRange, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/awesomeoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Ssoftware Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import MovAv\n\n\n__all__ = ['AwesomeOscillator', 'AwesomeOsc', 'AO']\n\n\nclass AwesomeOscillator(bt.Indicator):\n    '''\n    Awesome Oscillator (AO) is a momentum indicator reflecting the precise\n    changes in the market driving force which helps to identify the trend’s\n    strength up to the points of formation and reversal.\n\n\n    Formula:\n     - median price = (high + low) / 2\n     - AO = SMA(median price, 5)- SMA(median price, 34)\n\n    See:\n      - https://www.metatrader5.com/en/terminal/help/indicators/bw_indicators/awesome\n      - https://www.ifcmarkets.com/en/ntx-indicators/awesome-oscillator\n\n    '''\n    alias = ('AwesomeOsc', 'AO')\n    lines = ('ao',)\n\n    params = (\n        ('fast', 5),\n        ('slow', 34),\n        ('movav', MovAv.SMA),\n    )\n\n    plotlines = dict(ao=dict(_method='bar', alpha=0.50, width=1.0))\n\n    def __init__(self):\n        median_price = (self.data.high + self.data.low) / 2.0\n        sma1 = self.p.movav(median_price, period=self.p.fast)\n        sma2 = self.p.movav(median_price, period=self.p.slow)\n        self.l.ao = sma1 - sma2\n\n        super(AwesomeOscillator, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/basicops.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport functools\nimport math\nimport operator\n\nfrom ..utils.py3 import map, range\n\nfrom . import Indicator\n\n\nclass PeriodN(Indicator):\n    '''\n    Base class for indicators which take a period (__init__ has to be called\n    either via super or explicitly)\n\n    This class has no defined lines\n    '''\n    params = (('period', 1),)\n\n    def __init__(self):\n        super(PeriodN, self).__init__()\n        self.addminperiod(self.p.period)\n\n\nclass OperationN(PeriodN):\n    '''\n    Calculates \"func\" for a given period\n\n    Serves as a base for classes that work with a period and can express the\n    logic in a callable object\n\n    Note:\n      Base classes must provide a \"func\" attribute which is a callable\n\n    Formula:\n      - line = func(data, period)\n    '''\n    def next(self):\n        self.line[0] = self.func(self.data.get(size=self.p.period))\n\n    def once(self, start, end):\n        dst = self.line.array\n        src = self.data.array\n        period = self.p.period\n        func = self.func\n\n        for i in range(start, end):\n            dst[i] = func(src[i - period + 1: i + 1])\n\n\nclass BaseApplyN(OperationN):\n    '''\n    Base class for ApplyN and others which may take a ``func`` as a parameter\n    but want to define the lines in the indicator.\n\n    Calculates ``func`` for a given period where func is given as a parameter,\n    aka named argument or ``kwarg``\n\n    Formula:\n      - lines[0] = func(data, period)\n\n    Any extra lines defined beyond the first (index 0) are not calculated\n    '''\n    params = (('func', None),)\n\n    def __init__(self):\n        self.func = self.p.func\n        super(BaseApplyN, self).__init__()\n\n\nclass ApplyN(BaseApplyN):\n    '''\n    Calculates ``func`` for a given period\n\n    Formula:\n      - line = func(data, period)\n    '''\n    lines = ('apply',)\n\n\nclass Highest(OperationN):\n    '''\n    Calculates the highest value for the data in a given period\n\n    Uses the built-in ``max`` for the calculation\n\n    Formula:\n      - highest = max(data, period)\n    '''\n    alias = ('MaxN',)\n    lines = ('highest',)\n    func = max\n\n\nclass Lowest(OperationN):\n    '''\n    Calculates the lowest value for the data in a given period\n\n    Uses the built-in ``min`` for the calculation\n\n    Formula:\n      - lowest = min(data, period)\n    '''\n    alias = ('MinN',)\n    lines = ('lowest',)\n    func = min\n\n\nclass ReduceN(OperationN):\n    '''\n    Calculates the Reduced value of the ``period`` data points applying\n    ``function``\n\n    Uses the built-in ``reduce`` for the calculation plus the ``func`` that\n    subclassess define\n\n    Formula:\n      - reduced = reduce(function(data, period)), initializer=initializer)\n\n    Notes:\n\n      - In order to mimic the python ``reduce``, this indicator takes a\n        ``function`` non-named argument as the 1st argument, unlike other\n        Indicators which take only named arguments\n    '''\n    lines = ('reduced',)\n    func = functools.reduce\n\n    def __init__(self, function, **kwargs):\n        if 'initializer' not in kwargs:\n            self.func = functools.partial(self.func, function)\n        else:\n            self.func = functools.partial(self.func, function,\n                                          initializer=kwargs['initializer'])\n\n        super(ReduceN, self).__init__()\n\n\nclass SumN(OperationN):\n    '''\n    Calculates the Sum of the data values over a given period\n\n    Uses ``math.fsum`` for the calculation rather than the built-in ``sum`` to\n    avoid precision errors\n\n    Formula:\n      - sumn = sum(data, period)\n    '''\n    lines = ('sumn',)\n    func = math.fsum\n\n\nclass AnyN(OperationN):\n    '''\n    Has a value of ``True`` (stored as ``1.0`` in the lines) if *any* of the\n    values in the ``period`` evaluates to non-zero (ie: ``True``)\n\n    Uses the built-in ``any`` for the calculation\n\n    Formula:\n      - anyn = any(data, period)\n    '''\n    lines = ('anyn',)\n    func = any\n\n\nclass AllN(OperationN):\n    '''\n    Has a value of ``True`` (stored as ``1.0`` in the lines) if *all* of the\n    values in the ``period`` evaluates to non-zero (ie: ``True``)\n\n    Uses the built-in ``all`` for the calculation\n\n    Formula:\n      - alln = all(data, period)\n    '''\n    lines = ('alln',)\n    func = all\n\n\nclass FindFirstIndex(OperationN):\n    '''\n    Returns the index of the last data that satisfies equality with the\n    condition generated by the parameter _evalfunc\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = first for which data[index] == _evalfunc(data)\n    '''\n    lines = ('index',)\n    params = (('_evalfunc', None),)\n\n    def func(self, iterable):\n        m = self.p._evalfunc(iterable)\n        return next(i for i, v in enumerate(reversed(iterable)) if v == m)\n\n\nclass FindFirstIndexHighest(FindFirstIndex):\n    '''\n    Returns the index of the first data that is the highest in the period\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = index of first data which is the highest\n    '''\n    params = (('_evalfunc', max),)\n\n\nclass FindFirstIndexLowest(FindFirstIndex):\n    '''\n    Returns the index of the first data that is the lowest in the period\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = index of first data which is the lowest\n    '''\n    params = (('_evalfunc', min),)\n\n\nclass FindLastIndex(OperationN):\n    '''\n    Returns the index of the last data that satisfies equality with the\n    condition generated by the parameter _evalfunc\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = last for which data[index] == _evalfunc(data)\n    '''\n    lines = ('index',)\n    params = (('_evalfunc', None),)\n\n    def func(self, iterable):\n        m = self.p._evalfunc(iterable)\n        index = next(i for i, v in enumerate(iterable) if v == m)\n        # The iterable goes from 0 -> period - 1. If the last element\n        # which is the current bar is returned and without the -1 then\n        # period - index = 1 ... and must be zero!\n        return self.p.period - index - 1\n\n\nclass FindLastIndexHighest(FindLastIndex):\n    '''\n    Returns the index of the last data that is the highest in the period\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = index of last data which is the highest\n    '''\n    params = (('_evalfunc', max),)\n\n\nclass FindLastIndexLowest(FindLastIndex):\n    '''\n    Returns the index of the last data that is the lowest in the period\n\n    Note:\n      Returned indexes look backwards. 0 is the current index and 1 is\n      the previous bar.\n\n    Formula:\n      - index = index of last data which is the lowest\n    '''\n    params = (('_evalfunc', min),)\n\n\nclass Accum(Indicator):\n    '''\n    Cummulative sum of the data values\n\n    Formula:\n      - accum += data\n    '''\n    alias = ('CumSum', 'CumulativeSum',)\n    lines = ('accum',)\n    params = (('seed', 0.0),)\n\n    # xxxstart methods use the seed (starting value) and passed data to\n    # construct the first value keeping the minperiod to 1 since no\n    # initial look-back value is needed\n\n    def nextstart(self):\n        self.line[0] = self.p.seed + self.data[0]\n\n    def next(self):\n        self.line[0] = self.line[-1] + self.data[0]\n\n    def oncestart(self, start, end):\n        dst = self.line.array\n        src = self.data.array\n        prev = self.p.seed\n\n        for i in range(start, end):\n            dst[i] = prev = prev + src[i]\n\n    def once(self, start, end):\n        dst = self.line.array\n        src = self.data.array\n        prev = dst[start - 1]\n\n        for i in range(start, end):\n            dst[i] = prev = prev + src[i]\n\n\nclass Average(PeriodN):\n    '''\n    Averages a given data arithmetically over a period\n\n    Formula:\n      - av = data(period) / period\n\n    See also:\n      - https://en.wikipedia.org/wiki/Arithmetic_mean\n    '''\n    alias = ('ArithmeticMean', 'Mean',)\n    lines = ('av',)\n\n    def next(self):\n        self.line[0] = \\\n            math.fsum(self.data.get(size=self.p.period)) / self.p.period\n\n    def once(self, start, end):\n        src = self.data.array\n        dst = self.line.array\n        period = self.p.period\n\n        for i in range(start, end):\n            dst[i] = math.fsum(src[i - period + 1:i + 1]) / period\n\n\nclass ExponentialSmoothing(Average):\n    '''\n    Averages a given data over a period using exponential smoothing\n\n    A regular ArithmeticMean (Average) is used as the seed value considering\n    the first period values of data\n\n    Formula:\n      - av = prev * (1 - alpha) + data * alpha\n\n    See also:\n      - https://en.wikipedia.org/wiki/Exponential_smoothing\n    '''\n    alias = ('ExpSmoothing',)\n    params = (('alpha', None),)\n\n    def __init__(self):\n        self.alpha = self.p.alpha\n        if self.alpha is None:\n            self.alpha = 2.0 / (1.0 + self.p.period)  # def EMA value\n\n        self.alpha1 = 1.0 - self.alpha\n\n        super(ExponentialSmoothing, self).__init__()\n\n    def nextstart(self):\n        # Fetch the seed value from the base class calculation\n        super(ExponentialSmoothing, self).next()\n\n    def next(self):\n        self.line[0] = self.line[-1] * self.alpha1 + self.data[0] * self.alpha\n\n    def oncestart(self, start, end):\n        # Fetch the seed value from the base class calculation\n        super(ExponentialSmoothing, self).once(start, end)\n\n    def once(self, start, end):\n        darray = self.data.array\n        larray = self.line.array\n        alpha = self.alpha\n        alpha1 = self.alpha1\n\n        # Seed value from SMA calculated with the call to oncestart\n        prev = larray[start - 1]\n        for i in range(start, end):\n            larray[i] = prev = prev * alpha1 + darray[i] * alpha\n\n\nclass ExponentialSmoothingDynamic(ExponentialSmoothing):\n    '''\n    Averages a given data over a period using exponential smoothing\n\n    A regular ArithmeticMean (Average) is used as the seed value considering\n    the first period values of data\n\n    Note:\n      - alpha is an array of values which can be calculated dynamically\n\n    Formula:\n      - av = prev * (1 - alpha) + data * alpha\n\n    See also:\n      - https://en.wikipedia.org/wiki/Exponential_smoothing\n    '''\n    alias = ('ExpSmoothingDynamic',)\n\n    def __init__(self):\n        super(ExponentialSmoothingDynamic, self).__init__()\n\n        # Hack: alpha is a \"line\" and carries a minperiod which is not being\n        # considered because this indicator makes no line assignment. It has\n        # therefore to be considered manually\n        minperioddiff = max(0, self.alpha._minperiod - self.p.period)\n        self.lines[0].incminperiod(minperioddiff)\n\n    def next(self):\n        self.line[0] = \\\n            self.line[-1] * self.alpha1[0] + self.data[0] * self.alpha[0]\n\n    def once(self, start, end):\n        darray = self.data.array\n        larray = self.line.array\n        alpha = self.alpha.array\n        alpha1 = self.alpha1.array\n\n        # Seed value from SMA calculated with the call to oncestart\n        prev = larray[start - 1]\n        for i in range(start, end):\n            larray[i] = prev = prev * alpha1[i] + darray[i] * alpha[i]\n\n\nclass WeightedAverage(PeriodN):\n    '''\n    Calculates the weighted average of the given data over a period\n\n    The default weights (if none are provided) are linear to assigne more\n    weight to the most recent data\n\n    The result will be multiplied by a given \"coef\"\n\n    Formula:\n      - av = coef * sum(mul(data, period), weights)\n\n    See:\n      - https://en.wikipedia.org/wiki/Weighted_arithmetic_mean\n    '''\n    alias = ('AverageWeighted',)\n    lines = ('av',)\n    params = (('coef', 1.0), ('weights', tuple()),)\n\n    def __init__(self):\n        super(WeightedAverage, self).__init__()\n\n    def next(self):\n        data = self.data.get(size=self.p.period)\n        dataweighted = map(operator.mul, data, self.p.weights)\n        self.line[0] = self.p.coef * math.fsum(dataweighted)\n\n    def once(self, start, end):\n        darray = self.data.array\n        larray = self.line.array\n        period = self.p.period\n        coef = self.p.coef\n        weights = self.p.weights\n\n        for i in range(start, end):\n            data = darray[i - period + 1: i + 1]\n            larray[i] = coef * math.fsum(map(operator.mul, data, weights))\n"
  },
  {
    "path": "backtrader/indicators/bollinger.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, MovAv, StdDev\n\n\nclass BollingerBands(Indicator):\n    '''\n    Defined by John Bollinger in the 80s. It measures volatility by defining\n    upper and lower bands at distance x standard deviations\n\n    Formula:\n      - midband = SimpleMovingAverage(close, period)\n      - topband = midband + devfactor * StandardDeviation(data, period)\n      - botband = midband - devfactor * StandardDeviation(data, period)\n\n    See:\n      - http://en.wikipedia.org/wiki/Bollinger_Bands\n    '''\n    alias = ('BBands',)\n\n    lines = ('mid', 'top', 'bot',)\n    params = (('period', 20), ('devfactor', 2.0), ('movav', MovAv.Simple),)\n\n    plotinfo = dict(subplot=False)\n    plotlines = dict(\n        mid=dict(ls='--'),\n        top=dict(_samecolor=True),\n        bot=dict(_samecolor=True),\n    )\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.devfactor]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        self.lines.mid = ma = self.p.movav(self.data, period=self.p.period)\n        stddev = self.p.devfactor * StdDev(self.data, ma, period=self.p.period,\n                                           movav=self.p.movav)\n        self.lines.top = ma + stddev\n        self.lines.bot = ma - stddev\n\n        super(BollingerBands, self).__init__()\n\n\nclass BollingerBandsPct(BollingerBands):\n    '''\n    Extends the Bollinger Bands with a Percentage line\n    '''\n    lines = ('pctb',)\n    plotlines = dict(pctb=dict(_name='%B'))  # display the line as %B on chart\n\n    def __init__(self):\n        super(BollingerBandsPct, self).__init__()\n        self.l.pctb = (self.data - self.l.bot) / (self.l.top - self.l.bot)\n"
  },
  {
    "path": "backtrader/indicators/cci.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, Max, MovAv, MeanDev\n\n\nclass CommodityChannelIndex(Indicator):\n    '''\n    Introduced by Donald Lambert in 1980 to measure variations of the\n    \"typical price\" (see below) from its mean to identify extremes and\n    reversals\n\n    Formula:\n      - tp = typical_price = (high + low + close) / 3\n      - tpmean = MovingAverage(tp, period)\n      - deviation = tp - tpmean\n      - meandev = MeanDeviation(tp)\n      - cci = deviation / (meandeviation * factor)\n\n    See:\n      - https://en.wikipedia.org/wiki/Commodity_channel_index\n    '''\n    alias = ('CCI',)\n\n    lines = ('cci',)\n\n    params = (('period', 20),\n              ('factor', 0.015),\n              ('movav', MovAv.Simple),\n              ('upperband', 100.0),\n              ('lowerband', -100.0),)\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.factor]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def _plotinit(self):\n        self.plotinfo.plotyhlines = [0.0, self.p.upperband, self.p.lowerband]\n\n    def __init__(self):\n        tp = (self.data.high + self.data.low + self.data.close) / 3.0\n        tpmean = self.p.movav(tp, period=self.p.period)\n\n        dev = tp - tpmean\n        meandev = MeanDev(tp, tpmean, period=self.p.period)\n\n        self.lines.cci = dev / (self.p.factor * meandev)\n\n        super(CommodityChannelIndex, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/contrib/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\nfrom .import vortex as vortex\nfor name in vortex.__all__:\n    setattr(bt.indicators, name, getattr(vortex, name))\n"
  },
  {
    "path": "backtrader/indicators/contrib/vortex.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n__all__ = ['Vortex']\n\n\nclass Vortex(bt.Indicator):\n    '''\n    See:\n      - http://www.vortexindicator.com/VFX_VORTEX.PDF\n\n    '''\n    lines = ('vi_plus', 'vi_minus',)\n\n    params = (('period', 14),)\n\n    plotlines = dict(vi_plus=dict(_name='+VI'), vi_minus=dict(_name='-VI'))\n\n    def __init__(self):\n        h0l1 = abs(self.data.high(0) - self.data.low(-1))\n        vm_plus = bt.ind.SumN(h0l1, period=self.p.period)\n\n        l0h1 = abs(self.data.low(0) - self.data.high(-1))\n        vm_minus = bt.ind.SumN(l0h1, period=self.p.period)\n\n        h0c1 = abs(self.data.high(0) - self.data.close(-1))\n        l0c1 = abs(self.data.low(0) - self.data.close(-1))\n        h0l0 = abs(self.data.high(0) - self.data.low(0))\n\n        tr = bt.ind.SumN(bt.Max(h0l0, h0c1, l0c1), period=self.p.period)\n\n        self.l.vi_plus = vm_plus / tr\n        self.l.vi_minus = vm_minus / tr\n"
  },
  {
    "path": "backtrader/indicators/crossover.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, And\n\n\nclass NonZeroDifference(Indicator):\n    '''\n    Keeps track of the difference between two data inputs skipping, memorizing\n    the last non zero value if the current difference is zero\n\n    Formula:\n      - diff = data - data1\n      - nzd = diff if diff else diff(-1)\n    '''\n    _mindatas = 2  # requires two (2) data sources\n    alias = ('NZD',)\n    lines = ('nzd',)\n\n    def nextstart(self):\n        self.l.nzd[0] = self.data0[0] - self.data1[0]  # seed value\n\n    def next(self):\n        d = self.data0[0] - self.data1[0]\n        self.l.nzd[0] = d if d else self.l.nzd[-1]\n\n    def oncestart(self, start, end):\n        self.line.array[start] = (\n            self.data0.array[start] - self.data1.array[start])\n\n    def once(self, start, end):\n        d0array = self.data0.array\n        d1array = self.data1.array\n        larray = self.line.array\n\n        prev = larray[start - 1]\n        for i in range(start, end):\n            d = d0array[i] - d1array[i]\n            larray[i] = prev = d if d else prev\n\n\nclass _CrossBase(Indicator):\n    _mindatas = 2\n\n    lines = ('cross',)\n\n    plotinfo = dict(plotymargin=0.05, plotyhlines=[0.0, 1.0])\n\n    def __init__(self):\n        nzd = NonZeroDifference(self.data0, self.data1)\n\n        if self._crossup:\n            before = nzd(-1) < 0.0  # data0 was below or at 0\n            after = self.data0 > self.data1\n        else:\n            before = nzd(-1) > 0.0  # data0 was above or at 0\n            after = self.data0 < self.data1\n\n        self.lines.cross = And(before, after)\n\n\nclass CrossUp(_CrossBase):\n    '''\n    This indicator gives a signal if the 1st provided data crosses over the 2nd\n    indicator upwards\n\n    It does need to look into the current time index (0) and the previous time\n    index (-1) of both the 1st and 2nd data\n\n    Formula:\n      - diff = data - data1\n      - upcross =  last_non_zero_diff < 0 and data0(0) > data1(0)\n    '''\n    _crossup = True\n\n\nclass CrossDown(_CrossBase):\n    '''\n    This indicator gives a signal if the 1st provided data crosses over the 2nd\n    indicator upwards\n\n    It does need to look into the current time index (0) and the previous time\n    index (-1) of both the 1st and 2nd data\n\n    Formula:\n      - diff = data - data1\n      - downcross = last_non_zero_diff > 0 and data0(0) < data1(0)\n    '''\n    _crossup = False\n\n\nclass CrossOver(Indicator):\n    '''\n    This indicator gives a signal if the provided datas (2) cross up or down.\n\n      - 1.0 if the 1st data crosses the 2nd data upwards\n      - -1.0 if the 1st data crosses the 2nd data downwards\n\n    It does need to look into the current time index (0) and the previous time\n    index (-1) of both the 1t and 2nd data\n\n    Formula:\n      - diff = data - data1\n      - upcross =  last_non_zero_diff < 0 and data0(0) > data1(0)\n      - downcross = last_non_zero_diff > 0 and data0(0) < data1(0)\n      - crossover = upcross - downcross\n    '''\n    _mindatas = 2\n\n    lines = ('crossover',)\n\n    plotinfo = dict(plotymargin=0.05, plotyhlines=[-1.0, 1.0])\n\n    def __init__(self):\n        upcross = CrossUp(self.data, self.data1)\n        downcross = CrossDown(self.data, self.data1)\n\n        self.lines.crossover = upcross - downcross\n"
  },
  {
    "path": "backtrader/indicators/dema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import Indicator, MovingAverageBase, MovAv\n\n\nclass DoubleExponentialMovingAverage(MovingAverageBase):\n    '''\n    DEMA was first time introduced in 1994, in the article \"Smoothing Data with\n    Faster Moving Averages\" by Patrick G. Mulloy in \"Technical Analysis of\n    Stocks & Commodities\" magazine.\n\n    It attempts to reduce the inherent lag associated to Moving Averages\n\n    Formula:\n      - dema = (2.0 - ema(data, period) - ema(ema(data, period), period)\n\n    See:\n      (None)\n    '''\n    alias = ('DEMA', 'MovingAverageDoubleExponential',)\n\n    lines = ('dema',)\n    params = (('_movav', MovAv.EMA),)\n\n    def __init__(self):\n        ema = self.p._movav(self.data, period=self.p.period)\n        ema2 = self.p._movav(ema, period=self.p.period)\n        self.lines.dema = 2.0 * ema - ema2\n\n        super(DoubleExponentialMovingAverage, self).__init__()\n\n\nclass TripleExponentialMovingAverage(MovingAverageBase):\n    '''\n    TEMA was first time introduced in 1994, in the article \"Smoothing Data with\n    Faster Moving Averages\" by Patrick G. Mulloy in \"Technical Analysis of\n    Stocks & Commodities\" magazine.\n\n    It attempts to reduce the inherent lag associated to Moving Averages\n\n    Formula:\n      - ema1 = ema(data, period)\n      - ema2 = ema(ema1, period)\n      - ema3 = ema(ema2, period)\n      - tema = 3 * ema1 - 3 * ema2 + ema3\n\n    See:\n      (None)\n    '''\n    alias = ('TEMA', 'MovingAverageTripleExponential',)\n\n    lines = ('tema',)\n    params = (('_movav', MovAv.EMA),)\n\n    def __init__(self):\n        ema1 = self.p._movav(self.data, period=self.p.period)\n        ema2 = self.p._movav(ema1, period=self.p.period)\n        ema3 = self.p._movav(ema2, period=self.p.period)\n\n        self.lines.tema = 3.0 * ema1 - 3.0 * ema2 + ema3\n        super(TripleExponentialMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/deviation.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, MovAv\n\n\nclass StandardDeviation(Indicator):\n    '''\n    Calculates the standard deviation of the passed data for a given period\n\n    Note:\n      - If 2 datas are provided as parameters, the 2nd is considered to be the\n        mean of the first\n\n      - ``safepow`` (default: False) If this parameter is True, the standard\n        deviation will be calculated as pow(abs(meansq - sqmean), 0.5) to safe\n        guard for possible negative results of ``meansq - sqmean`` caused by\n        the floating point representation.\n\n    Formula:\n      - meansquared = SimpleMovingAverage(pow(data, 2), period)\n      - squaredmean = pow(SimpleMovingAverage(data, period), 2)\n      - stddev = pow(meansquared - squaredmean, 0.5)  # square root\n\n    See:\n      - http://en.wikipedia.org/wiki/Standard_deviation\n    '''\n    alias = ('StdDev',)\n\n    lines = ('stddev',)\n    params = (('period', 20), ('movav', MovAv.Simple), ('safepow', True),)\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        if len(self.datas) > 1:\n            mean = self.data1\n        else:\n            mean = self.p.movav(self.data, period=self.p.period)\n\n        meansq = self.p.movav(pow(self.data, 2), period=self.p.period)\n        sqmean = pow(mean, 2)\n\n        if self.p.safepow:\n            self.lines.stddev = pow(abs(meansq - sqmean), 0.5)\n        else:\n            self.lines.stddev = pow(meansq - sqmean, 0.5)\n\n\nclass MeanDeviation(Indicator):\n    '''MeanDeviation (alias MeanDev)\n\n    Calculates the Mean Deviation of the passed data for a given period\n\n    Note:\n      - If 2 datas are provided as parameters, the 2nd is considered to be the\n        mean of the first\n\n    Formula:\n      - mean = MovingAverage(data, period) (or provided mean)\n      - absdeviation = abs(data - mean)\n      - meandev = MovingAverage(absdeviation, period)\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_absolute_deviation\n    '''\n    alias = ('MeanDev',)\n\n    lines = ('meandev',)\n    params = (('period', 20), ('movav', MovAv.Simple),)\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        if len(self.datas) > 1:\n            mean = self.data1\n        else:\n            mean = self.p.movav(self.data, period=self.p.period)\n\n        absdev = abs(self.data - mean)\n        self.lines.meandev = self.p.movav(absdev, period=self.p.period)\n"
  },
  {
    "path": "backtrader/indicators/directionalmove.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, And, If, MovAv, ATR\n\n\nclass UpMove(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* as part of the Directional Move System to\n    calculate Directional Indicators.\n\n    Positive if the given data has moved higher than the previous day\n\n    Formula:\n      - upmove = data - data(-1)\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    lines = ('upmove',)\n\n    def __init__(self):\n        self.lines.upmove = self.data - self.data(-1)\n        super(UpMove, self).__init__()\n\n\nclass DownMove(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* as part of the Directional Move System to\n    calculate Directional Indicators.\n\n    Positive if the given data has moved lower than the previous day\n\n    Formula:\n      - downmove = data(-1) - data\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    lines = ('downmove',)\n\n    def __init__(self):\n        self.lines.downmove = self.data(-1) - self.data\n        super(DownMove, self).__init__()\n\n\nclass _DirectionalIndicator(Indicator):\n    '''\n    This class serves as the root base class for all \"Directional Movement\n    System\" related indicators, given that the calculations are first common\n    and then derived from the common calculations.\n\n    It can calculate the +DI and -DI values (using kwargs as the hint as to\n    what to calculate) but doesn't assign them to lines. This is left for\n    sublcases of this class.\n    '''\n    params = (('period', 14), ('movav', MovAv.Smoothed))\n\n    plotlines = dict(plusDI=dict(_name='+DI'), minusDI=dict(_name='-DI'))\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self, _plus=True, _minus=True):\n        atr = ATR(self.data, period=self.p.period, movav=self.p.movav)\n\n        upmove = self.data.high - self.data.high(-1)\n        downmove = self.data.low(-1) - self.data.low\n\n        if _plus:\n            plus = And(upmove > downmove, upmove > 0.0)\n            plusDM = If(plus, upmove, 0.0)\n            plusDMav = self.p.movav(plusDM, period=self.p.period)\n\n            self.DIplus = 100.0 * plusDMav / atr\n\n        if _minus:\n            minus = And(downmove > upmove, downmove > 0.0)\n            minusDM = If(minus, downmove, 0.0)\n            minusDMav = self.p.movav(minusDM, period=self.p.period)\n\n            self.DIminus = 100.0 * minusDMav / atr\n\n        super(_DirectionalIndicator, self).__init__()\n\n\nclass DirectionalIndicator(_DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator shows +DI, -DI:\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = ('DI',)\n    lines = ('plusDI', 'minusDI',)\n\n    def __init__(self):\n        super(DirectionalIndicator, self).__init__()\n\n        self.lines.plusDI = self.DIplus\n        self.lines.minusDI = self.DIminus\n\n\nclass PlusDirectionalIndicator(_DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator shows +DI:\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = (('PlusDI', '+DI'),)\n    lines = ('plusDI',)\n\n    plotinfo = dict(plotname='+DirectionalIndicator')\n\n    def __init__(self):\n        super(PlusDirectionalIndicator, self).__init__(_minus=False)\n\n        self.lines.plusDI = self.DIplus\n\n\nclass MinusDirectionalIndicator(_DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator shows -DI:\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = (('MinusDI', '-DI'),)\n    lines = ('minusDI',)\n\n    plotinfo = dict(plotname='-DirectionalIndicator')\n\n    def __init__(self):\n        super(MinusDirectionalIndicator, self).__init__(_plus=False)\n\n        self.lines.minusDI = self.DIminus\n\n\nclass AverageDirectionalMovementIndex(_DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator only shows ADX:\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n      - dx = 100 * abs(+di - -di) / (+di + -di)\n      - adx = MovingAverage(dx, period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = ('ADX',)\n\n    lines = ('adx',)\n\n    plotlines = dict(adx=dict(_name='ADX'))\n\n    def __init__(self):\n        super(AverageDirectionalMovementIndex, self).__init__()\n\n        dx = abs(self.DIplus - self.DIminus) / (self.DIplus + self.DIminus)\n        self.lines.adx = 100.0 * self.p.movav(dx, period=self.p.period)\n\n\nclass AverageDirectionalMovementIndexRating(AverageDirectionalMovementIndex):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength.\n\n    ADXR is the average of ADX with a value period bars ago\n\n    This indicator shows the ADX and ADXR:\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n      - dx = 100 * abs(+di - -di) / (+di + -di)\n      - adx = MovingAverage(dx, period)\n      - adxr = (adx + adx(-period)) / 2\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = ('ADXR',)\n\n    lines = ('adxr',)\n    plotlines = dict(adxr=dict(_name='ADXR'))\n\n    def __init__(self):\n        super(AverageDirectionalMovementIndexRating, self).__init__()\n\n        self.lines.adxr = (self.l.adx + self.l.adx(-self.p.period)) / 2.0\n\n\nclass DirectionalMovementIndex(AverageDirectionalMovementIndex,\n                               DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator shows the ADX, +DI, -DI:\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use AverageDirectionalIndexRating (ADXRating) to get ADX, ADXR\n      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n      - dx = 100 * abs(+di - -di) / (+di + -di)\n      - adx = MovingAverage(dx, period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = ('DMI',)\n\n\nclass DirectionalMovement(AverageDirectionalMovementIndexRating,\n                          DirectionalIndicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    Intended to measure trend strength\n\n    This indicator shows ADX, ADXR, +DI, -DI.\n\n      - Use PlusDirectionalIndicator (PlusDI) to get +DI\n      - Use MinusDirectionalIndicator (MinusDI) to get -DI\n      - Use Directional Indicator (DI) to get +DI, -DI\n      - Use AverageDirectionalIndex (ADX) to get ADX\n      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR\n      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI\n\n    Formula:\n      - upmove = high - high(-1)\n      - downmove = low(-1) - low\n      - +dm = upmove if upmove > downmove and upmove > 0 else 0\n      - -dm = downmove if downmove > upmove and downmove > 0 else 0\n      - +di = 100 * MovingAverage(+dm, period) / atr(period)\n      - -di = 100 * MovingAverage(-dm, period) / atr(period)\n      - dx = 100 * abs(+di - -di) / (+di + -di)\n      - adx = MovingAverage(dx, period)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Average_directional_movement_index\n    '''\n    alias = ('DM',)\n"
  },
  {
    "path": "backtrader/indicators/dma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import MovingAverageBase, MovAv, ZeroLagIndicator\n\n\nclass DicksonMovingAverage(MovingAverageBase):\n    '''By Nathan Dickson\n\n    The *Dickson Moving Average* combines the ``ZeroLagIndicator`` (aka\n    *ErrorCorrecting* or *EC*) by *Ehlers*, and the ``HullMovingAverage`` to\n    try to deliver a result close to that of the *Jurik* Moving Averages\n\n    Formula:\n      - ec = ZeroLagIndicator(period, gainlimit)\n      - hma = HullMovingAverage(hperiod)\n\n      - dma = (ec + hma) / 2\n\n      - The default moving average for the *ZeroLagIndicator* is EMA, but can\n        be changed with the parameter ``_movav``\n\n        .. note:: the passed moving average must calculate alpha (and 1 -\n                  alpha) and make them available as attributes ``alpha`` and\n                  ``alpha1``\n\n      - The 2nd moving averag can be changed from *Hull* to anything else with\n        the param *_hma*\n\n    See also:\n      - https://www.reddit.com/r/algotrading/comments/4xj3vh/dickson_moving_average\n    '''\n    alias = ('DMA', 'DicksonMA',)\n    lines = ('dma',)\n    params = (\n        ('gainlimit', 50),\n        ('hperiod', 7),\n        ('_movav', MovAv.EMA),\n        ('_hma', MovAv.HMA),\n    )\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.gainlimit, self.p.hperiod]\n        plabels += [self.p._movav] * self.p.notdefault('_movav')\n        plabels += [self.p._hma] * self.p.notdefault('_hma')\n        return plabels\n\n    def __init__(self):\n        ec = ZeroLagIndicator(period=self.p.period,\n                              gainlimit=self.p.gainlimit,\n                              _movav=self.p._movav)\n\n        hull = self.p._hma(period=self.p.hperiod)\n\n        self.lines.dma = (ec + hull) / 2.0\n\n        # To make mixins work - super at the end for cooperative inheritance\n        super(DicksonMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/dpo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n# Python 2/3 compatibility imports\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, MovAv\n\n\nclass DetrendedPriceOscillator(Indicator):\n    '''\n    Defined by Joe DiNapoli in his book *\"Trading with DiNapoli levels\"*\n\n    It measures the price variations against a Moving Average (the trend)\n    and therefore removes the \"trend\" factor from the price.\n\n    Formula:\n      - movav = MovingAverage(close, period)\n      - dpo = close - movav(shifted period / 2 + 1)\n\n    See:\n      - http://en.wikipedia.org/wiki/Detrended_price_oscillator\n    '''\n    # Named alias for invocation\n    alias = ('DPO',)\n\n    # Named output lines\n    lines = ('dpo',)\n\n    # Accepted parameters (and defaults) -\n    # MovAvg also parameter to allow experimentation\n    params = (('period', 20), ('movav', MovAv.Simple))\n\n    # Emphasize central 0.0 line in plot\n    plotinfo = dict(plothlines=[0.0])\n\n    # Indicator information after the name (in brackets)\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        # Create the Moving Average\n        ma = self.p.movav(self.data, period=self.p.period)\n\n        # Calculate value (look back period/2 + 1 in MA) and bind to 'dpo' line\n        self.lines.dpo = self.data - ma(-self.p.period // 2 + 1)\n\n        super(DetrendedPriceOscillator, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/dv2.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import Indicator, SMA, PercentRank\n\n\n__all__ = ['DV2']\n\n\nclass DV2(Indicator):\n    '''\n    RSI(2) alternative\n    Developed by David Varadi of http://cssanalytics.wordpress.com/\n\n    This seems to be the *Bounded* version.\n\n    See also:\n\n      - http://web.archive.org/web/20131216100741/http://quantingdutchman.wordpress.com/2010/08/06/dv2-indicator-for-amibroker/\n\n    '''\n    params = (\n        ('period', 252),\n        ('maperiod', 2),\n        ('_movav', SMA),\n    )\n    lines = ('dv2',)\n\n    def __init__(self):\n        chl = self.data.close / ((self.data.high + self.data.low) / 2.0)\n        dvu = self.p._movav(chl, period=self.p.maperiod)\n        self.lines.dv2 = PercentRank(dvu, period=self.p.period) * 100\n        super(DV2, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/ema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import MovingAverageBase, ExponentialSmoothing\n\n\nclass ExponentialMovingAverage(MovingAverageBase):\n    '''\n    A Moving Average that smoothes data exponentially over time.\n\n    It is a subclass of SmoothingMovingAverage.\n\n      - self.smfactor -> 2 / (1 + period)\n      - self.smfactor1 -> `1 - self.smfactor`\n\n    Formula:\n      - movav = prev * (1.0 - smoothfactor) + newdata * smoothfactor\n\n    See also:\n      - http://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average\n    '''\n    alias = ('EMA', 'MovingAverageExponential',)\n    lines = ('ema',)\n\n    def __init__(self):\n        # Before super to ensure mixins (right-hand side in subclassing)\n        # can see the assignment operation and operate on the line\n        self.lines[0] = es = ExponentialSmoothing(\n            self.data,\n            period=self.p.period,\n            alpha=2.0 / (1.0 + self.p.period))\n\n        self.alpha, self.alpha1 = es.alpha, es.alpha1\n\n        super(ExponentialMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/envelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\nfrom . import Indicator, MovingAverage\n\n\nclass EnvelopeMixIn(object):\n    '''\n    MixIn class to create a subclass with another indicator. The main line of\n    that indicator will be surrounded by an upper and lower band separated a\n    given \"perc\"entage from the input main line\n\n    The usage is:\n\n      - Class XXXEnvelope(XXX, EnvelopeMixIn)\n\n    Formula:\n      - 'line' (inherited from XXX))\n      - top = 'line' * (1 + perc)\n      - bot = 'line' * (1 - perc)\n\n    See also:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes\n    '''\n    lines = ('top', 'bot',)\n    params = (('perc', 2.5),)\n    plotlines = dict(top=dict(_samecolor=True), bot=dict(_samecolor=True),)\n\n    def __init__(self):\n        # Mix-in & directly from object -> does not necessarily need super\n        # super(EnvelopeMixIn, self).__init__()\n        perc = self.p.perc / 100.0\n\n        self.lines.top = self.lines[0] * (1.0 + perc)\n        self.lines.bot = self.lines[0] * (1.0 - perc)\n\n        super(EnvelopeMixIn, self).__init__()\n\n\nclass _EnvelopeBase(Indicator):\n    lines = ('src',)\n\n    # plot the envelope lines along the passed source\n    plotinfo = dict(subplot=False)\n\n    # Do not replot the data line\n    plotlines = dict(src=dict(_plotskip=True))\n\n    def __init__(self):\n        self.lines.src = self.data\n        super(_EnvelopeBase, self).__init__()\n\n\nclass Envelope(_EnvelopeBase, EnvelopeMixIn):\n    '''\n    It creates envelopes bands separated from the source data by a given\n    percentage\n\n    Formula:\n      - src = datasource\n      - top = src * (1 + perc)\n      - bot = src * (1 - perc)\n\n    See also:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes\n    '''\n\n\n# Automatic creation of Moving Average Envelope classes\n\nfor movav in MovingAverage._movavs[1:]:\n    _newclsdoc = '''\n    %s and envelope bands separated \"perc\" from it\n\n    Formula:\n      - %s (from %s)\n      - top = %s * (1 + perc)\n      - bot = %s * (1 - perc)\n\n    See also:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes\n    '''\n    # Skip aliases - they will be created automatically\n    if getattr(movav, 'aliased', ''):\n        continue\n\n    movname = movav.__name__\n    linename = movav.lines._getlinealias(0)\n    newclsname = movname + 'Envelope'\n\n    newaliases = []\n    for alias in getattr(movav, 'alias', []):\n        for suffix in ['Envelope']:\n            newaliases.append(alias + suffix)\n\n    newclsdoc = _newclsdoc % (movname, linename, movname, linename, linename)\n\n    newclsdct = {'__doc__': newclsdoc,\n                 '__module__': EnvelopeMixIn.__module__,\n                 '_notregister': True,\n                 'alias': newaliases}\n    newcls = type(str(newclsname), (movav, EnvelopeMixIn), newclsdct)\n    module = sys.modules[EnvelopeMixIn.__module__]\n    setattr(module, newclsname, newcls)\n"
  },
  {
    "path": "backtrader/indicators/hadelta.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom . import MovAv\n\n\n__all__ = ['haDelta', 'haD']\n\n\nclass haDelta(bt.Indicator):\n    '''Heikin Ashi Delta. Defined by Dan Valcu in his book \"Heikin-Ashi: How to\n    Trade Without Candlestick Patterns \".\n\n    This indicator measures difference between Heikin Ashi close and open of\n    Heikin Ashi candles, the body of the candle.\n\n    To get signals add haDelta smoothed by 3 period moving average.\n\n    For correct use, the data for the indicator must have been previously\n    passed by the Heikin Ahsi filter.\n\n    Formula:\n      - haDelta = Heikin Ashi close - Heikin Ashi open\n      - smoothed = movav(haDelta, period)\n\n    '''\n    alias = ('haD',)\n\n    lines = ('haDelta', 'smoothed')\n\n    params = (\n        ('period', 3),\n        ('movav', MovAv.SMA),\n        ('autoheikin', True),\n    )\n\n    plotinfo = dict(subplot=True)\n\n    plotlines = dict(\n        haDelta=dict(color='red'),\n        smoothed=dict(color='grey', _fill_gt=(0, 'green'), _fill_lt=(0, 'red'))\n    )\n\n    def __init__(self):\n        d = bt.ind.HeikinAshi(self.data) if self.p.autoheikin else self.data\n\n        self.lines.haDelta = hd = d.close - d.open\n        self.lines.smoothed = self.p.movav(hd, period=self.p.period)\n        super(haDelta, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/heikinashi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import range\n\n\n__all__ = ['HeikinAshi']\n\n\nclass HeikinAshi(bt.Indicator):\n    '''\n    Heikin Ashi candlesticks in the forms of lines\n\n    Formula:\n        ha_open = (ha_open(-1) + ha_close(-1)) / 2\n        ha_high = max(hi, ha_open, ha_close)\n        ha_low = min(lo, ha_open, ha_close)\n        ha_close = (open + high + low + close) / 4\n\n    See also:\n        https://en.wikipedia.org/wiki/Candlestick_chart#Heikin_Ashi_candlesticks\n        http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:heikin_ashi\n    '''\n    lines = ('ha_open', 'ha_high', 'ha_low', 'ha_close',)\n\n    linealias = (\n        ('ha_open', 'open',),\n        ('ha_high', 'high',),\n        ('ha_low', 'low',),\n        ('ha_close', 'close',),\n    )\n\n    plotinfo = dict(subplot=False)\n\n    _nextforce = True\n\n    def __init__(self):\n        o = self.data.open\n        h = self.data.high\n        l = self.data.low\n        c = self.data.close\n\n        self.l.ha_close = ha_close = (o + h + l + c) / 4.0\n        self.l.ha_open = ha_open = (self.l.ha_open(-1) + ha_close(-1)) / 2.0\n        self.l.ha_high = bt.Max(h, ha_open, ha_close)\n        self.l.ha_low = bt.Min(l, ha_open, ha_close)\n\n        super(HeikinAshi, self).__init__()\n\n    def prenext(self):\n        # seed recursive value\n        self.lines.ha_open[0] = (self.data.open[0] + self.data.close[0]) / 2.0\n"
  },
  {
    "path": "backtrader/indicators/hma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import MovingAverageBase, MovAv\n\n\n# Inherits from MovingAverageBase to auto-register as MovingAverage type\nclass HullMovingAverage(MovingAverageBase):\n    '''By Alan Hull\n\n    The Hull Moving Average solves the age old dilemma of making a moving\n    average more responsive to current price activity whilst maintaining curve\n    smoothness. In fact the HMA almost eliminates lag altogether and manages to\n    improve smoothing at the same time.\n\n    Formula:\n      - hma = wma(2 * wma(data, period // 2) - wma(data, period), sqrt(period))\n\n    See also:\n      - http://alanhull.com/hull-moving-average\n\n    Note:\n\n      - Please note that the final minimum period is not the period passed with\n        the parameter ``period``. A final moving average on moving average is\n        done in which the period is the *square root* of the original.\n\n        In the default case of ``30`` the final minimum period before the\n        moving average produces a non-NAN value is ``34``\n    '''\n    alias = ('HMA', 'HullMA',)\n    lines = ('hma',)\n\n    # param 'period' is inherited from MovingAverageBase\n    params = (('_movav', MovAv.WMA),)\n\n    def __init__(self):\n        wma = self.p._movav(self.data, period=self.params.period)\n        wma2 = 2.0 * self.p._movav(self.data, period=self.params.period // 2)\n\n        sqrtperiod = pow(self.params.period, 0.5)\n        self.lines.hma = self.p._movav(wma2 - wma, period=int(sqrtperiod))\n\n        # Done after calc to ensure coop inheritance and composition work\n        super(HullMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/hurst.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import PeriodN\n\n\n__all__ = ['HurstExponent', 'Hurst']\n\n\nclass HurstExponent(PeriodN):\n    '''\n    References:\n\n      - https://www.quantopian.com/posts/hurst-exponent\n      - https://www.quantopian.com/posts/some-code-from-ernie-chans-new-book-implemented-in-python\n\n   Interpretation of the results\n\n      1. Geometric random walk (H=0.5)\n      2. Mean-reverting series (H<0.5)\n      3. Trending Series (H>0.5)\n\n    Important notes:\n\n      - The default period is ``40``, but experimentation by users has shown\n        that it would be advisable to have at least 2000 samples (i.e.: a\n        period of at least 2000) to have stable values.\n\n      - The `lag_start` and `lag_end` values will default to be ``2`` and\n        ``self.p.period / 2`` unless the parameters are specified.\n\n        Experimentation by users has also shown that values of around ``10``\n        and ``500`` produce good results\n\n    The original values (40, 2, self.p.period / 2) are kept for backwards\n    compatibility\n\n    '''\n    frompackages = (\n        ('numpy', ('asarray', 'log10', 'polyfit', 'sqrt', 'std', 'subtract')),\n    )\n\n    alias = ('Hurst',)\n    lines = ('hurst',)\n    params = (\n        ('period', 40),  # 2000 was proposed\n        ('lag_start', None),  # 10 was proposed\n        ('lag_end', None),  # 500 was proposed\n    )\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self._lag_start]\n        plabels += [self._lag_end]\n        return plabels\n\n    def __init__(self):\n        super(HurstExponent, self).__init__()\n        # Prepare the lags array\n        self._lag_start = lag_start = self.p.lag_start or 2\n        self._lag_end = lag_end = self.p.lag_end or (self.p.period // 2)\n        self.lags = asarray(range(lag_start, lag_end))\n        self.log10lags = log10(self.lags)\n\n    def next(self):\n        # Fetch the data\n        ts = asarray(self.data.get(size=self.p.period))\n\n        # Calculate the array of the variances of the lagged differences\n        tau = [sqrt(std(subtract(ts[lag:], ts[:-lag]))) for lag in self.lags]\n\n        # Use a linear fit to estimate the Hurst Exponent\n        poly = polyfit(self.log10lags, log10(tau), 1)\n\n        # Return the Hurst exponent from the polyfit output\n        self.lines.hurst[0] = poly[0] * 2.0\n"
  },
  {
    "path": "backtrader/indicators/ichimoku.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import Highest, Lowest\n\n\nclass Ichimoku(bt.Indicator):\n    '''\n    Developed and published in his book in 1969 by journalist Goichi Hosoda\n\n    Formula:\n      - tenkan_sen = (Highest(High, tenkan) + Lowest(Low, tenkan)) / 2.0\n      - kijun_sen = (Highest(High, kijun) + Lowest(Low, kijun)) / 2.0\n\n      The next 2 are pushed 26 bars into the future\n\n      - senkou_span_a = (tenkan_sen + kijun_sen) / 2.0\n      - senkou_span_b = ((Highest(High, senkou) + Lowest(Low, senkou)) / 2.0\n\n      This is pushed 26 bars into the past\n\n      - chikou = close\n\n    The cloud (Kumo) is formed by the area between the senkou_spans\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ichimoku_cloud\n\n    '''\n    lines = ('tenkan_sen', 'kijun_sen',\n             'senkou_span_a', 'senkou_span_b', 'chikou_span',)\n    params = (\n        ('tenkan', 9),\n        ('kijun', 26),\n        ('senkou', 52),\n        ('senkou_lead', 26),  # forward push\n        ('chikou', 26),  # backwards push\n    )\n\n    plotinfo = dict(subplot=False)\n    plotlines = dict(\n        senkou_span_a=dict(_fill_gt=('senkou_span_b', 'g'),\n                           _fill_lt=('senkou_span_b', 'r')),\n    )\n\n    def __init__(self):\n        hi_tenkan = Highest(self.data.high, period=self.p.tenkan)\n        lo_tenkan = Lowest(self.data.low, period=self.p.tenkan)\n        self.l.tenkan_sen = (hi_tenkan + lo_tenkan) / 2.0\n\n        hi_kijun = Highest(self.data.high, period=self.p.kijun)\n        lo_kijun = Lowest(self.data.low, period=self.p.kijun)\n        self.l.kijun_sen = (hi_kijun + lo_kijun) / 2.0\n\n        senkou_span_a = (self.l.tenkan_sen + self.l.kijun_sen) / 2.0\n        self.l.senkou_span_a = senkou_span_a(-self.p.senkou_lead)\n\n        hi_senkou = Highest(self.data.high, period=self.p.senkou)\n        lo_senkou = Lowest(self.data.low, period=self.p.senkou)\n        senkou_span_b = (hi_senkou + lo_senkou) / 2.0\n        self.l.senkou_span_b = senkou_span_b(-self.p.senkou_lead)\n\n        self.l.chikou_span = self.data.close(self.p.chikou)\n\n        super(Ichimoku, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/kama.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import (SumN, MovingAverageBase, ExponentialSmoothingDynamic)\n\n\nclass AdaptiveMovingAverage(MovingAverageBase):\n    '''\n    Defined by Perry Kaufman in his book `\"Smarter Trading\"`.\n\n    It is A Moving Average with a continuously scaled smoothing factor by\n    taking into account market direction and volatility. The smoothing factor\n    is calculated from 2 ExponetialMovingAverage smoothing factors, a fast one\n    and slow one.\n\n    If the market trends the value will tend to the fast ema smoothing\n    period. If the market doesn't trend it will move towards the slow EMA\n    smoothing period.\n\n    It is a subclass of SmoothingMovingAverage, overriding once to account for\n    the live nature of the smoothing factor\n\n    Formula:\n      - direction = close - close_period\n      - volatility = sumN(abs(close - close_n), period)\n      - effiency_ratio = abs(direction / volatility)\n      - fast = 2 / (fast_period + 1)\n      - slow = 2 / (slow_period + 1)\n\n      - smfactor = squared(efficienty_ratio * (fast - slow) + slow)\n      - smfactor1 = 1.0  - smfactor\n\n      - The initial seed value is a SimpleMovingAverage\n\n    See also:\n      - http://fxcodebase.com/wiki/index.php/Kaufman's_Adaptive_Moving_Average_(KAMA)\n      - http://www.metatrader5.com/en/terminal/help/analytics/indicators/trend_indicators/ama\n      - http://help.cqg.com/cqgic/default.htm#!Documents/adaptivemovingaverag2.htm\n    '''\n    alias = ('KAMA', 'MovingAverageAdaptive',)\n    lines = ('kama',)\n    params = (('fast', 2), ('slow', 30))\n\n    def __init__(self):\n        # Before super to ensure mixins (right-hand side in subclassing)\n        # can see the assignment operation and operate on the line\n        direction = self.data - self.data(-self.p.period)\n        volatility = SumN(abs(self.data - self.data(-1)), period=self.p.period)\n\n        er = abs(direction / volatility)  # efficiency ratio\n\n        fast = 2.0 / (self.p.fast + 1.0)  # fast ema smoothing factor\n        slow = 2.0 / (self.p.slow + 1.0)  # slow ema smoothing factor\n\n        sc = pow((er * (fast - slow)) + slow, 2)  # scalable constant\n\n        self.lines[0] = ExponentialSmoothingDynamic(self.data,\n                                                    period=self.p.period,\n                                                    alpha=sc)\n\n        super(AdaptiveMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/kst.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import SMA, ROC100\n\n\nclass KnowSureThing(bt.Indicator):\n    '''\n    It is a \"summed\" momentum indicator. Developed by Martin Pring and\n    published in 1992 in Stocks & Commodities.\n\n    Formula:\n      - rcma1 = MovAv(roc100(rp1), period)\n      - rcma2 = MovAv(roc100(rp2), period)\n      - rcma3 = MovAv(roc100(rp3), period)\n      - rcma4 = MovAv(roc100(rp4), period)\n\n      - kst = 1.0 * rcma1 + 2.0 * rcma2 + 3.0 * rcma3 + 4.0 * rcma4\n      - signal = MovAv(kst, speriod)\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:know_sure_thing_kst\n\n    Params\n\n      - ``rma1``, ``rma2``, ``rma3``, ``rma4``: for the MovingAverages on ROCs\n      - ``rp1``, ``rp2``, ``rp3``, ``rp4``: for the ROCs\n      - ``rsig``: for the MovingAverage for the signal line\n      - ``rfactors``: list of factors to apply to the different MovAv(ROCs)\n      - ``_movav`` and ``_movavs``, allows to change the Moving Average type\n        applied for the calculation of kst and signal\n\n    '''\n    alias = ('KST',)\n    lines = ('kst', 'signal',)\n    params = (\n        ('rp1', 10), ('rp2', 15), ('rp3', 20), ('rp4', 30),\n        ('rma1', 10), ('rma2', 10), ('rma3', 10), ('rma4', 10),\n        ('rsignal', 9),\n        ('rfactors', [1.0, 2.0, 3.0, 4.0]),\n        ('_rmovav', SMA),\n        ('_smovav', SMA),\n    )\n\n    plotinfo = dict(plothlines=[0.0])\n\n    def __init__(self):\n        rcma1 = self.p._rmovav(ROC100(period=self.p.rp1), period=self.p.rma1)\n        rcma2 = self.p._rmovav(ROC100(period=self.p.rp2), period=self.p.rma2)\n        rcma3 = self.p._rmovav(ROC100(period=self.p.rp3), period=self.p.rma3)\n        rcma4 = self.p._rmovav(ROC100(period=self.p.rp4), period=self.p.rma4)\n        self.l.kst = sum([rfi * rci for rfi, rci in\n                          zip(self.p.rfactors, [rcma1, rcma2, rcma3, rcma4])])\n\n        self.l.signal = self.p._smovav(self.l.kst, period=self.p.rsignal)\n        super(KnowSureThing, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/lrsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import PeriodN\n\n\n__all__ = ['LaguerreRSI', 'LRSI', 'LaguerreFilter', 'LAGF']\n\n\nclass LaguerreRSI(PeriodN):\n    '''\n    Defined by John F. Ehlers in `Cybernetic Analysis for Stock and Futures`,\n    2004, published by Wiley. `ISBN: 978-0-471-46307-8`\n\n    The Laguerre RSI tries to implements a better RSI by providing a sort of\n    *Time Warp without Time Travel* using a Laguerre filter. This provides for\n    faster reactions to price changes\n\n    ``gamma`` is meant to have values between ``0.2`` and ``0.8``, with the\n    best balance found theoretically at the default of ``0.5``\n    '''\n    alias = ('LRSI',)\n    lines = ('lrsi',)\n    params = (\n        ('gamma', 0.5),\n        ('period', 6),\n    )\n\n    plotinfo = dict(\n        plotymargin=0.15,\n        plotyticks=[0.0, 0.2, 0.5, 0.8, 1.0]\n    )\n\n    l0, l1, l2, l3 = 0.0, 0.0, 0.0, 0.0\n\n    def next(self):\n        l0_1 = self.l0  # cache previous intermediate values\n        l1_1 = self.l1\n        l2_1 = self.l2\n\n        g = self.p.gamma  # avoid more lookups\n        self.l0 = l0 = (1.0 - g) * self.data + g * l0_1\n        self.l1 = l1 = -g * l0 + l0_1 + g * l1_1\n        self.l2 = l2 = -g * l1 + l1_1 + g * l2_1\n        self.l3 = l3 = -g * l2 + l2_1 + g * self.l3\n\n        cu = 0.0\n        cd = 0.0\n        if l0 >= l1:\n            cu = l0 - l1\n        else:\n            cd = l1 - l0\n\n        if l1 >= l2:\n            cu += l1 - l2\n        else:\n            cd += l2 - l1\n\n        if l2 >= l3:\n            cu += l2 - l3\n        else:\n            cd += l3 - l2\n\n        den = cu + cd\n        self.lines.lrsi[0] = 1.0 if not den else cu / den\n\n\nclass LaguerreFilter(PeriodN):\n    '''\n    Defined by John F. Ehlers in `Cybernetic Analysis for Stock and Futures`,\n    2004, published by Wiley. `ISBN: 978-0-471-46307-8`\n\n    ``gamma`` is meant to have values between ``0.2`` and ``0.8``, with the\n    best balance found theoretically at the default of ``0.5``\n    '''\n    alias = ('LAGF',)\n    lines = ('lfilter',)\n    params = (('gamma', 0.5),)\n    plotinfo = dict(subplot=False)\n\n    l0, l1, l2, l3 = 0.0, 0.0, 0.0, 0.0\n\n    def next(self):\n        l0_1 = self.l0  # cache previous intermediate values\n        l1_1 = self.l1\n        l2_1 = self.l2\n\n        g = self.p.gamma  # avoid more lookups\n        self.l0 = l0 = (1.0 - g) * self.data + g * l0_1\n        self.l1 = l1 = -g * l0 + l0_1 + g * l1_1\n        self.l2 = l2 = -g * l1 + l1_1 + g * l2_1\n        self.l3 = l3 = -g * l2 + l2_1 + g * self.l3\n        self.lines.lfilter[0] = (l0 + (2 * l1) + (2 * l2) + l3) / 6\n"
  },
  {
    "path": "backtrader/indicators/mabase.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom ..utils.py3 import with_metaclass\n\nfrom . import Indicator\n\n\nclass MovingAverage(object):\n    '''MovingAverage (alias MovAv)\n\n    A placeholder to gather all Moving Average Types in a single place.\n\n    Instantiating a SimpleMovingAverage can be achieved as follows::\n\n      sma = MovingAverage.Simple(self.data, period)\n\n    Or using the shorter aliases::\n\n      sma = MovAv.SMA(self.data, period)\n\n    or with the full (forwards and backwards) names:\n\n      sma = MovAv.SimpleMovingAverage(self.data, period)\n\n      sma = MovAv.MovingAverageSimple(self.data, period)\n\n    '''\n    _movavs = []\n\n    @classmethod\n    def register(cls, regcls):\n        if getattr(regcls, '_notregister', False):\n            return\n\n        cls._movavs.append(regcls)\n\n        clsname = regcls.__name__\n        setattr(cls, clsname, regcls)\n\n        clsalias = ''\n        if clsname.endswith('MovingAverage'):\n            clsalias = clsname.split('MovingAverage')[0]\n        elif clsname.startswith('MovingAverage'):\n            clsalias = clsname.split('MovingAverage')[1]\n\n        if clsalias:\n            setattr(cls, clsalias, regcls)\n\n\nclass MovAv(MovingAverage):\n    pass  # alias\n\n\nclass MetaMovAvBase(Indicator.__class__):\n    # Register any MovingAverage with the placeholder to allow the automatic\n    # creation of envelopes and oscillators\n\n    def __new__(meta, name, bases, dct):\n        # Create the class\n        cls = super(MetaMovAvBase, meta).__new__(meta, name, bases, dct)\n\n        MovingAverage.register(cls)\n\n        # return the class\n        return cls\n\n\nclass MovingAverageBase(with_metaclass(MetaMovAvBase, Indicator)):\n    params = (('period', 30),)\n    plotinfo = dict(subplot=False)\n"
  },
  {
    "path": "backtrader/indicators/macd.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, MovAv\n\n\nclass MACD(Indicator):\n    '''\n    Moving Average Convergence Divergence. Defined by Gerald Appel in the 70s.\n\n    It measures the distance of a short and a long term moving average to\n    try to identify the trend.\n\n    A second lagging moving average over the convergence-divergence should\n    provide a \"signal\" upon being crossed by the macd\n\n    Formula:\n      - macd = ema(data, me1_period) - ema(data, me2_period)\n      - signal = ema(macd, signal_period)\n\n    See:\n      - http://en.wikipedia.org/wiki/MACD\n    '''\n    lines = ('macd', 'signal',)\n    params = (('period_me1', 12), ('period_me2', 26), ('period_signal', 9),\n              ('movav', MovAv.Exponential),)\n\n    plotinfo = dict(plothlines=[0.0])\n    plotlines = dict(signal=dict(ls='--'))\n\n    def _plotlabel(self):\n        plabels = super(MACD, self)._plotlabel()\n        if self.p.isdefault('movav'):\n            plabels.remove(self.p.movav)\n        return plabels\n\n    def __init__(self):\n        super(MACD, self).__init__()\n        me1 = self.p.movav(self.data, period=self.p.period_me1)\n        me2 = self.p.movav(self.data, period=self.p.period_me2)\n        self.lines.macd = me1 - me2\n        self.lines.signal = self.p.movav(self.lines.macd,\n                                         period=self.p.period_signal)\n\n\nclass MACDHisto(MACD):\n    '''\n    Subclass of MACD which adds a \"histogram\" of the difference between the\n    macd and signal lines\n\n    Formula:\n      - histo = macd - signal\n\n    See:\n      - http://en.wikipedia.org/wiki/MACD\n    '''\n    alias = ('MACDHistogram',)\n\n    lines = ('histo',)\n    plotlines = dict(histo=dict(_method='bar', alpha=0.50, width=1.0))\n\n    def __init__(self):\n        super(MACDHisto, self).__init__()\n        self.lines.histo = self.lines.macd - self.lines.signal\n"
  },
  {
    "path": "backtrader/indicators/momentum.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator\n\n\nclass Momentum(Indicator):\n    '''\n    Measures the change in price by calculating the difference between the\n    current price and the price from a given period ago\n\n\n    Formula:\n      - momentum = data - data_period\n\n    See:\n      - http://en.wikipedia.org/wiki/Momentum_(technical_analysis)\n    '''\n    lines = ('momentum',)\n    params = (('period', 12),)\n    plotinfo = dict(plothlines=[0.0])\n\n    def __init__(self):\n        self.l.momentum = self.data - self.data(-self.p.period)\n        super(Momentum, self).__init__()\n\n\nclass MomentumOscillator(Indicator):\n    '''\n    Measures the ratio of change in prices over a period\n\n    Formula:\n      - mosc = 100 * (data / data_period)\n\n    See:\n      - http://ta.mql4.com/indicators/oscillators/momentum\n    '''\n    alias = ('MomentumOsc',)\n\n    # Named output lines\n    lines = ('momosc',)\n\n    # Accepted parameters (and defaults) -\n    params = (('period', 12),\n              ('band', 100.0))\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        return plabels\n\n    def _plotinit(self):\n        self.plotinfo.plothlines = [self.p.band]\n\n    def __init__(self):\n        self.l.momosc = 100.0 * (self.data / self.data(-self.p.period))\n        super(MomentumOscillator, self).__init__()\n\n\nclass RateOfChange(Indicator):\n    '''\n    Measures the ratio of change in prices over a period\n\n    Formula:\n      - roc = (data - data_period) / data_period\n\n    See:\n      - http://en.wikipedia.org/wiki/Momentum_(technical_analysis)\n    '''\n    alias = ('ROC',)\n\n    # Named output lines\n    lines = ('roc',)\n\n    # Accepted parameters (and defaults) -\n    params = (('period', 12),)\n\n    def __init__(self):\n        dperiod = self.data(-self.p.period)\n        self.l.roc = (self.data - dperiod) / dperiod\n        super(RateOfChange, self).__init__()\n\n\nclass RateOfChange100(Indicator):\n    '''\n    Measures the ratio of change in prices over a period with base 100\n\n    This is for example how ROC is defined in stockcharts\n\n    Formula:\n      - roc = 100 * (data - data_period) / data_period\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:rate_of_change_roc_and_momentum\n\n    '''\n    alias = ('ROC100',)\n\n    # Named output lines\n    lines = ('roc100',)\n\n    # Accepted parameters (and defaults)\n    params = (('period', 12),)\n\n    def __init__(self):\n        self.l.roc100 = 100.0 * ROC(self.data, period=self.p.period)\n        super(RateOfChange100, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/ols.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import PeriodN\n\n\n__all__ = ['OLS_Slope_InterceptN', 'OLS_TransformationN', 'OLS_BetaN',\n           'CointN']\n\n\nclass OLS_Slope_InterceptN(PeriodN):\n    '''\n    Calculates a linear regression using ``statsmodel.OLS`` (Ordinary least\n    squares) of data1 on data0\n\n    Uses ``pandas`` and ``statsmodels``\n    '''\n    _mindatas = 2  # ensure at least 2 data feeds are passed\n\n    packages = (\n        ('pandas', 'pd'),\n        ('statsmodels.api', 'sm'),\n    )\n    lines = ('slope', 'intercept',)\n    params = (\n        ('period', 10),\n    )\n\n    def next(self):\n        p0 = pd.Series(self.data0.get(size=self.p.period))\n        p1 = pd.Series(self.data1.get(size=self.p.period))\n        p1 = sm.add_constant(p1)\n        intercept, slope = sm.OLS(p0, p1).fit().params\n\n        self.lines.slope[0] = slope\n        self.lines.intercept[0] = intercept\n\n\nclass OLS_TransformationN(PeriodN):\n    '''\n    Calculates the ``zscore`` for data0 and data1. Although it doesn't directly\n    uses any external package it relies on ``OLS_SlopeInterceptN`` which uses\n    ``pandas`` and ``statsmodels``\n    '''\n    _mindatas = 2  # ensure at least 2 data feeds are passed\n    lines = ('spread', 'spread_mean', 'spread_std', 'zscore',)\n    params = (('period', 10),)\n\n    def __init__(self):\n        slint = OLS_Slope_InterceptN(*self.datas)\n\n        spread = self.data0 - (slint.slope * self.data1 + slint.intercept)\n        self.l.spread = spread\n\n        self.l.spread_mean = bt.ind.SMA(spread, period=self.p.period)\n        self.l.spread_std = bt.ind.StdDev(spread, period=self.p.period)\n        self.l.zscore = (spread - self.l.spread_mean) / self.l.spread_std\n\n\nclass OLS_BetaN(PeriodN):\n    '''\n    Calculates a regression of data1 on data0 using ``pandas.ols``\n\n    Uses ``pandas``\n    '''\n    _mindatas = 2  # ensure at least 2 data feeds are passed\n\n    packages = (\n        ('pandas', 'pd'),\n    )\n\n    lines = ('beta',)\n    params = (('period', 10),)\n\n    def next(self):\n        y, x = (pd.Series(d.get(size=self.p.period)) for d in self.datas)\n        r_beta = pd.ols(y=y, x=x, window_type='full_sample')\n        self.lines.beta[0] = r_beta.beta['x']\n\n\nclass CointN(PeriodN):\n    '''\n    Calculates the score (coint_t) and pvalue for a given ``period`` for the\n    data feeds\n\n    Uses ``pandas`` and ``statsmodels`` (for ``coint``)\n    '''\n    _mindatas = 2  # ensure at least 2 data feeds are passed\n\n    packages = (\n        ('pandas', 'pd'),  # import pandas as pd\n    )\n    frompackages = (\n        ('statsmodels.tsa.stattools', 'coint'),  # from st... import coint\n    )\n\n    lines = ('score', 'pvalue',)\n    params = (\n        ('period', 10),\n        ('trend', 'c'),  # see statsmodel.tsa.statttools\n    )\n\n    def next(self):\n        x, y = (pd.Series(d.get(size=self.p.period)) for d in self.datas)\n        score, pvalue, _ = coint(x, y, trend=self.p.trend)\n        self.lines.score[0] = score\n        self.lines.pvalue[0] = pvalue\n"
  },
  {
    "path": "backtrader/indicators/oscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\n\nfrom . import Indicator, MovingAverage\n\n\nclass OscillatorMixIn(Indicator):\n    '''\n    MixIn class to create a subclass with another indicator. The main line of\n    that indicator will be substracted from the other base class main line\n    creating an oscillator\n\n    The usage is:\n\n      - Class XXXOscillator(XXX, OscillatorMixIn)\n\n    Formula:\n      - XXX calculates lines[0]\n      - osc = self.data - XXX.lines[0]\n    '''\n    plotlines = dict(_0=dict(_name='osc'))\n\n    def _plotinit(self):\n        try:\n            lname = self.lines._getlinealias(0)\n            self.plotlines._0._name = lname + '_osc'\n        except AttributeError:\n            pass\n\n    def __init__(self):\n        self.lines[0] = self.data - self.lines[0]\n        super(OscillatorMixIn, self).__init__()\n\n\nclass Oscillator(Indicator):\n    '''\n    Oscillation of a given data around another data\n\n    Datas:\n      This indicator can accept 1 or 2 datas for the calculation.\n\n      - If 1 data is provided, it must be a complex \"Lines\" object (indicator)\n        which also has \"datas\". Example: A moving average\n\n        The calculated oscillation will be that of the Moving Average (in the\n        example) around the data that was used for the average calculation\n\n      - If 2 datas are provided the calculated oscillation will be that of the\n        2nd data around the 1st data\n\n    Formula:\n      - 1 data -> osc = data.data - data\n      - 2 datas -> osc = data0 - data1\n    '''\n    lines = ('osc',)\n\n    # Have a default value which can be later modified if needed\n    plotlines = dict(_0=dict(_name='osc'))\n\n    def _plotinit(self):\n        try:\n            lname = self.dataosc._getlinealias(0)\n            self.plotlines._0._name = lname + '_osc'\n        except AttributeError:\n            pass\n\n    def __init__(self):\n        super(Oscillator, self).__init__()\n\n        if len(self.datas) > 1:\n            datasrc = self.data\n            self.dataosc = self.data1\n        else:\n            datasrc = self.data.data\n            self.dataosc = self.data\n\n        self.lines[0] = datasrc - self.dataosc\n\n\n# Automatic creation of Oscillating Lines\n\nfor movav in MovingAverage._movavs[1:]:\n    _newclsdoc = '''\n    Oscillation of a %s around its data\n    '''\n    # Skip aliases - they will be created automatically\n    if getattr(movav, 'aliased', ''):\n        continue\n\n    movname = movav.__name__\n    linename = movav.lines._getlinealias(0)\n    newclsname = movname + 'Oscillator'\n\n    newaliases = [movname + 'Osc']\n    for alias in getattr(movav, 'alias', []):\n        for suffix in ['Oscillator', 'Osc']:\n            newaliases.append(alias + suffix)\n\n    newclsdoc = _newclsdoc % movname\n    newclsdct = {'__doc__': newclsdoc,\n                 '__module__': OscillatorMixIn.__module__,\n                 '_notregister': True,\n                 'alias': newaliases}\n\n    newcls = type(str(newclsname), (movav, OscillatorMixIn), newclsdct)\n    module = sys.modules[OscillatorMixIn.__module__]\n    setattr(module, newclsname, newcls)\n"
  },
  {
    "path": "backtrader/indicators/percentchange.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator\n\n\n__all__ = ['PercentChange', 'PctChange']\n\n\nclass PercentChange(Indicator):\n    '''\n      Measures the perccentage change of the current value with respect to that\n      of period bars ago\n    '''\n    alias = ('PctChange',)\n    lines = ('pctchange',)\n\n    # Fancy plotting name\n    plotlines = dict(pctchange=dict(_name='%change'))\n\n    # update value to standard for Moving Averages\n    params = (('period', 30),)\n\n    def __init__(self):\n        self.lines.pctchange = self.data / self.data(-self.p.period) - 1.0\n        super(PercentChange, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/percentrank.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom math import fsum\n\nfrom . import BaseApplyN\n\n\n__all__ = ['PercentRank', 'PctRank']\n\n\nclass PercentRank(BaseApplyN):\n    '''\n    Measures the percent rank of the current value with respect to that of\n    period bars ago\n    '''\n    alias = ('PctRank',)\n    lines = ('pctrank',)\n    params = (\n        ('period', 50),\n        ('func', lambda d: fsum(x < d[-1] for x in d) / len(d)),\n    )\n"
  },
  {
    "path": "backtrader/indicators/pivotpoint.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, CmpEx\n\n\nclass PivotPoint(Indicator):\n    '''\n    Defines a level of significance by taking into account the average of price\n    bar components of the past period of a larger timeframe. For example when\n    operating with days, the values are taking from the already \"past\" month\n    fixed prices.\n\n    Example of using this indicator:\n\n      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)\n      cerebro.adddata(data)\n      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)\n\n    In the ``__init__`` method of the strategy:\n\n      pivotindicator = btind.PivotPoiont(self.data1)  # the resampled data\n\n    The indicator will try to automatically plo to the non-resampled data. To\n    disable this behavior use the following during construction:\n\n      - _autoplot=False\n\n    Note:\n\n      The example shows *days* and *months*, but any combination of timeframes\n      can be used. See the literature for recommended combinations\n\n    Formula:\n      - pivot = (h + l + c) / 3  # variants duplicate close or add open\n      - support1 = 2.0 * pivot - high\n      - support2 = pivot - (high - low)\n      - resistance1 = 2.0 * pivot - low\n      - resistance2 = pivot + (high - low)\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points\n      - https://en.wikipedia.org/wiki/Pivot_point_(technical_analysis)\n    '''\n    lines = ('p', 's1', 's2', 'r1', 'r2',)\n    plotinfo = dict(subplot=False)\n\n    params = (\n        ('open', False),  # add opening price to the pivot point\n        ('close', False),  # use close twice in the calcs\n        ('_autoplot', True),  # attempt to plot on real target data\n    )\n\n    def _plotinit(self):\n        # Try to plot to the actual timeframe master\n        if self.p._autoplot:\n            if hasattr(self.data, 'data'):\n                self.plotinfo.plotmaster = self.data.data\n\n    def __init__(self):\n        o = self.data.open\n        h = self.data.high  # current high\n        l = self.data.low  # current low\n        c = self.data.close  # current close\n\n        if self.p.close:\n            self.lines.p = p = (h + l + 2.0 * c) / 4.0\n        elif self.p.open:\n            self.lines.p = p = (h + l + c + o) / 4.0\n        else:\n            self.lines.p = p = (h + l + c) / 3.0\n\n        self.lines.s1 = 2.0 * p - h\n        self.lines.r1 = 2.0 * p - l\n\n        self.lines.s2 = p - (h - l)\n        self.lines.r2 = p + (h - l)\n\n        super(PivotPoint, self).__init__()  # enable coopertive inheritance\n\n        if self.p._autoplot:\n            self.plotinfo.plot = False  # disable own plotting\n            self()  # Coupler to follow real object\n\n\nclass FibonacciPivotPoint(Indicator):\n    '''\n    Defines a level of significance by taking into account the average of price\n    bar components of the past period of a larger timeframe. For example when\n    operating with days, the values are taking from the already \"past\" month\n    fixed prices.\n\n    Fibonacci levels (configurable) are used to define the support/resistance levels\n\n    Example of using this indicator:\n\n      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)\n      cerebro.adddata(data)\n      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)\n\n    In the ``__init__`` method of the strategy:\n\n      pivotindicator = btind.FibonacciPivotPoiont(self.data1)  # the resampled data\n\n    The indicator will try to automatically plo to the non-resampled data. To\n    disable this behavior use the following during construction:\n\n      - _autoplot=False\n\n    Note:\n\n      The example shows *days* and *months*, but any combination of timeframes\n      can be used. See the literature for recommended combinations\n\n    Formula:\n      - pivot = (h + l + c) / 3  # variants duplicate close or add open\n      - support1 = p - level1 * (high - low)  # level1 0.382\n      - support2 = p - level2 * (high - low)  # level2 0.618\n      - support3 = p - level3 * (high - low)  # level3 1.000\n      - resistance1 = p + level1 * (high - low)  # level1 0.382\n      - resistance2 = p + level2 * (high - low)  # level2 0.618\n      - resistance3 = p + level3 * (high - low)  # level3 1.000\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points\n    '''\n    lines = ('p', 's1', 's2', 's3', 'r1', 'r2', 'r3')\n    plotinfo = dict(subplot=False)\n    params = (\n        ('open', False),  # add opening price to the pivot point\n        ('close', False),  # use close twice in the calcs\n        ('_autoplot', True),  # attempt to plot on real target data\n        ('level1', 0.382),\n        ('level2', 0.618),\n        ('level3', 1.0),\n    )\n\n    def _plotinit(self):\n        # Try to plot to the actual timeframe master\n        if self.p._autoplot:\n            if hasattr(self.data, 'data'):\n                self.plotinfo.plotmaster = self.data.data\n\n    def __init__(self):\n        o = self.data.open\n        h = self.data.high  # current high\n        l = self.data.low  # current high\n        c = self.data.close  # current high\n\n        if self.p.close:\n            self.lines.p = p = (h + l + 2.0 * c) / 4.0\n        elif self.p.open:\n            self.lines.p = p = (h + l + c + o) / 4.0\n        else:\n            self.lines.p = p = (h + l + c) / 3.0\n\n        self.lines.s1 = p - self.p.level1 * (h - l)\n        self.lines.s2 = p - self.p.level2 * (h - l)\n        self.lines.s3 = p - self.p.level3 * (h - l)\n\n        self.lines.r1 = p + self.p.level1 * (h - l)\n        self.lines.r2 = p + self.p.level2 * (h - l)\n        self.lines.r3 = p + self.p.level3 * (h - l)\n\n        super(FibonacciPivotPoint, self).__init__()\n\n        if self.p._autoplot:\n            self.plotinfo.plot = False  # disable own plotting\n            self()  # Coupler to follow real object\n\n\nclass DemarkPivotPoint(Indicator):\n    '''\n    Defines a level of significance by taking into account the average of price\n    bar components of the past period of a larger timeframe. For example when\n    operating with days, the values are taking from the already \"past\" month\n    fixed prices.\n\n    Example of using this indicator:\n\n      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)\n      cerebro.adddata(data)\n      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)\n\n    In the ``__init__`` method of the strategy:\n\n      pivotindicator = btind.DemarkPivotPoiont(self.data1)  # the resampled data\n\n    The indicator will try to automatically plo to the non-resampled data. To\n    disable this behavior use the following during construction:\n\n      - _autoplot=False\n\n    Note:\n\n      The example shows *days* and *months*, but any combination of timeframes\n      can be used. See the literature for recommended combinations\n\n    Formula:\n      - if close < open x = high + (2 x low) + close\n\n      - if close > open x = (2 x high) + low + close\n\n      - if Close == open x = high + low + (2 x close)\n\n      - p = x / 4\n\n      - support1 = x / 2 - high\n      - resistance1 = x / 2 - low\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points\n    '''\n    lines = ('p', 's1', 'r1',)\n    plotinfo = dict(subplot=False)\n    params = (\n        ('open', False),  # add opening price to the pivot point\n        ('close', False),  # use close twice in the calcs\n        ('_autoplot', True),  # attempt to plot on real target data\n        ('level1', 0.382),\n        ('level2', 0.618),\n        ('level3', 1.0),\n    )\n\n    def _plotinit(self):\n        # Try to plot to the actual timeframe master\n        if self.p._autoplot:\n            if hasattr(self.data, 'data'):\n                self.plotinfo.plotmaster = self.data.data\n\n    def __init__(self):\n        x1 = self.data.high + 2.0 * self.data.low + self.data.close\n        x2 = 2.0 * self.data.high + self.data.low + self.data.close\n        x3 = self.data.high + self.data.low + 2.0 * self.data.close\n\n        x = CmpEx(self.data.close, self.data.open, x1, x2, x3)\n        self.lines.p = x / 4.0\n\n        self.lines.s1 = x / 2.0 - self.data.high\n        self.lines.r1 = x / 2.0 - self.data.low\n\n        super(DemarkPivotPoint, self).__init__()\n\n        if self.p._autoplot:\n            self.plotinfo.plot = False  # disable own plotting\n            self()  # Coupler to follow real object\n"
  },
  {
    "path": "backtrader/indicators/prettygoodoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import Indicator, MovAv, ATR\n\n\nclass PrettyGoodOscillator(Indicator):\n    '''\n    The \"Pretty Good Oscillator\" (PGO) by Mark Johnson measures the distance of\n    the current close from its simple moving average of period\n    Average), expressed in terms of an average true range (see Average True\n    Range) over a similar period.\n\n    So for instance a PGO value of +2.5 would mean the current close is 2.5\n    average days' range above the SMA.\n\n    Johnson's approach was to use it as a breakout system for longer term\n    trades. If the PGO rises above 3.0 then go long, or below -3.0 then go\n    short, and in both cases exit on returning to zero (which is a close back\n    at the SMA).\n\n    Formula:\n      - pgo = (data.close - sma(data, period)) / atr(data, period)\n\n    See also:\n      - http://user42.tuxfamily.org/chart/manual/Pretty-Good-Oscillator.html\n\n    '''\n    alias = ('PGO', 'PrettyGoodOsc',)\n    lines = ('pgo',)\n\n    params = (('period', 14), ('_movav', MovAv.Simple),)\n\n    def __init__(self):\n        movav = self.p._movav(self.data, period=self.p.period)\n        atr = ATR(self.data, period=self.p.period)\n\n        self.lines.pgo = (self.data - movav) / atr\n        super(PrettyGoodOscillator, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/priceoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, Max, MovAv\n\n\nclass _PriceOscBase(Indicator):\n    params = (('period1', 12), ('period2', 26),\n              ('_movav', MovAv.Exponential),)\n\n    plotinfo = dict(plothlines=[0.0])\n\n    def __init__(self):\n        self.ma1 = self.p._movav(self.data, period=self.p.period1)\n        self.ma2 = self.p._movav(self.data, period=self.p.period2)\n        self.lines[0] = self.ma1 - self.ma2\n\n        super(_PriceOscBase, self).__init__()\n\n\nclass PriceOscillator(_PriceOscBase):\n    '''\n    Shows the difference between a short and long exponential moving\n    averages expressed in points.\n\n    Formula:\n      - po = ema(short) - ema(long)\n\n    See:\n      - http://www.metastock.com/Customer/Resources/TAAZ/?c=3&p=94\n    '''\n    alias = ('PriceOsc', 'AbsolutePriceOscillator', 'APO', 'AbsPriceOsc',)\n    lines = ('po',)\n\n\nclass PercentagePriceOscillator(_PriceOscBase):\n    '''\n    Shows the difference between a short and long exponential moving\n    averages expressed in percentage. The MACD does the same but expressed in\n    absolute points.\n\n    Expressing the difference in percentage allows to compare the indicator at\n    different points in time when the underlying value has significatnly\n    different values.\n\n    Formula:\n      - po = 100 * (ema(short) - ema(long)) / ema(long)\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:price_oscillators_ppo\n    '''\n    _long = True\n\n    alias = ('PPO', 'PercPriceOsc',)\n\n    lines = ('ppo', 'signal', 'histo')\n    params = (('period_signal', 9),)\n\n    plotlines = dict(histo=dict(_method='bar', alpha=0.50, width=1.0))\n\n    def __init__(self):\n        super(PercentagePriceOscillator, self).__init__()\n\n        den = self.ma2 if self._long else self.ma1\n\n        self.lines.ppo = 100.0 * self.lines[0] / den\n        self.l.signal = self.p._movav(self.l.ppo, period=self.p.period_signal)\n        self.lines.histo = self.lines.ppo - self.lines.signal\n\n\nclass PercentagePriceOscillatorShort(PercentagePriceOscillator):\n    '''\n    Shows the difference between a short and long exponential moving\n    averages expressed in percentage. The MACD does the same but expressed in\n    absolute points.\n\n    Expressing the difference in percentage allows to compare the indicator at\n    different points in time when the underlying value has significatnly\n    different values.\n\n    Most on-line literature shows the percentage calculation having the long\n    exponential moving average as the denominator. Some sources like MetaStock\n    use the short one.\n\n    Formula:\n      - po = 100 * (ema(short) - ema(long)) / ema(short)\n\n    See:\n      - http://www.metastock.com/Customer/Resources/TAAZ/?c=3&p=94\n    '''\n    _long = False\n    alias = ('PPOShort', 'PercPriceOscShort',)\n"
  },
  {
    "path": "backtrader/indicators/psar.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import PeriodN\n\n\n__all__ = ['ParabolicSAR', 'PSAR']\n\n\nclass _SarStatus(object):\n    sar = None\n    tr = None\n    af = 0.0\n    ep = 0.0\n\n    def __str__(self):\n        txt = []\n        txt.append('sar: {}'.format(self.sar))\n        txt.append('tr: {}'.format(self.tr))\n        txt.append('af: {}'.format(self.af))\n        txt.append('ep: {}'.format(self.ep))\n        return '\\n'.join(txt)\n\n\nclass ParabolicSAR(PeriodN):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the RSI\n\n    SAR stands for *Stop and Reverse* and the indicator was meant as a signal\n    for entry (and reverse)\n\n    How to select the 1st signal is left unspecified in the book and the\n    increase/decrease of bars\n\n    See:\n      - https://en.wikipedia.org/wiki/Parabolic_SAR\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:parabolic_sar\n    '''\n    alias = ('PSAR',)\n    lines = ('psar',)\n    params = (\n        ('period', 2),  # when to start showing values\n        ('af', 0.02),\n        ('afmax', 0.20),\n    )\n\n    plotinfo = dict(subplot=False)\n    plotlines = dict(\n        psar=dict(\n            marker='.', markersize=4.0, color='black', fillstyle='full', ls=''\n        ),\n    )\n\n    def prenext(self):\n        if len(self) == 1:\n            self._status = []  # empty status\n            return  # not enough data to do anything\n\n        elif len(self) == 2:\n            self.nextstart()  # kickstart calculation\n        else:\n            self.next()  # regular calc\n\n        self.lines.psar[0] = float('NaN')  # no return yet still prenext\n\n    def nextstart(self):\n        if self._status:  # some states have been calculated\n            self.next()  # delegate\n            return\n\n        # Prepare a status holding array, for current and previous lengths\n        self._status = [_SarStatus(), _SarStatus()]\n\n        # Start by looking if price has gone up/down (close) in the 2nd day to\n        # get an *entry* signal and configure the values as they would have\n        # been in the previous trend, including a sar value which is\n        # immediately invalidated in next, which reverses and sets the trend to\n        # the actual up/down value calculated with the close\n        # Put the 4 status variables in a Status holder\n        plenidx = (len(self) - 1) % 2  # previous length index (0 or 1)\n        status = self._status[plenidx]\n\n        # Calculate the status for previous length\n        status.sar = (self.data.high[0] + self.data.low[0]) / 2.0\n\n        status.af = self.p.af\n        if self.data.close[0] >= self.data.close[-1]:  # uptrend\n            status.tr = not True  # uptrend when reversed\n            status.ep = self.data.low[-1]  # ep from prev trend\n        else:\n            status.tr = not False  # downtrend when reversed\n            status.ep = self.data.high[-1]  # ep from prev trend\n\n        # With the fake prev trend in place and a sar which will be invalidated\n        # go to next to get the calculation done\n        self.next()\n\n    def next(self):\n        hi = self.data.high[0]\n        lo = self.data.low[0]\n\n        plenidx = (len(self) - 1) % 2  # previous length index (0 or 1)\n        status = self._status[plenidx]  # use prev status for calculations\n\n        tr = status.tr\n        sar = status.sar\n\n        # Check if the sar penetrated the price to switch the trend\n        if (tr and sar >= lo) or (not tr and sar <= hi):\n            tr = not tr  # reverse the trend\n            sar = status.ep  # new sar is prev SIP (Significant price)\n            ep = hi if tr else lo  # select new SIP / Extreme Price\n            af = self.p.af  # reset acceleration factor\n\n        else:  # use the precalculated values\n            ep = status.ep\n            af = status.af\n\n        # Update sar value for today\n        self.lines.psar[0] = sar\n\n        # Update ep and af if needed\n        if tr:  # long trade\n            if hi > ep:\n                ep = hi\n                af = min(af + self.p.af, self.p.afmax)\n\n        else:  # downtrend\n            if lo < ep:\n                ep = lo\n                af = min(af + self.p.af, self.p.afmax)\n\n        sar = sar + af * (ep - sar)  # calculate the sar for tomorrow\n\n        # make sure sar doesn't go into hi/lows\n        if tr:  # long trade\n            lo1 = self.data.low[-1]\n            if sar > lo or sar > lo1:\n                sar = min(lo, lo1)  # sar not above last 2 lows -> lower\n        else:\n            hi1 = self.data.high[-1]\n            if sar < hi or sar < hi1:\n                sar = max(hi, hi1)  # sar not below last 2 highs -> highest\n\n        # new status has been calculated, keep it in current length\n        # will be used when length moves forward\n        newstatus = self._status[not plenidx]\n        newstatus.tr = tr\n        newstatus.sar = sar\n        newstatus.ep = ep\n        newstatus.af = af\n"
  },
  {
    "path": "backtrader/indicators/rmi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Ssoftware Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import RSI\n\n\nclass RelativeMomentumIndex(RSI):\n    '''\n    Description:\n    The Relative Momentum Index was developed by Roger Altman and was\n    introduced in his article in the February, 1993 issue of Technical Analysis\n    of Stocks & Commodities magazine.\n\n    While your typical RSI counts up and down days from close to close, the\n    Relative Momentum Index counts up and down days from the close relative to\n    a close x number of days ago. The result is an RSI that is a bit smoother.\n\n    Usage:\n    Use in the same way you would any other RSI . There are overbought and\n    oversold zones, and can also be used for divergence and trend analysis.\n\n    See:\n      - https://www.marketvolume.com/technicalanalysis/relativemomentumindex.asp\n      - https://www.tradingview.com/script/UCm7fIvk-FREE-INDICATOR-Relative-Momentum-Index-RMI/\n      - https://www.prorealcode.com/prorealtime-indicators/relative-momentum-index-rmi/\n\n    '''\n    alias = ('RMI', )\n\n    linealias = (('rsi', 'rmi',),)  # add an alias for this class rmi -> rsi\n    plotlines = dict(rsi=dict(_name='rmi'))  # change line plotting name\n\n    params = (\n        ('period', 20),\n        ('lookback', 5),\n    )\n\n    def _plotlabel(self):\n        # override to always print the lookback label and do it before movav\n        plabels = [self.p.period]\n        plabels += [self.p.lookback]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n"
  },
  {
    "path": "backtrader/indicators/rsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, Max, MovAv\nfrom . import DivZeroByZero\n\n\nclass UpDay(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the RSI\n\n    Records days which have been \"up\", i.e.: the close price has been\n    higher than the day before.\n\n    Formula:\n      - upday = max(close - close_prev, 0)\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    lines = ('upday',)\n    params = (('period', 1),)\n\n    def __init__(self):\n        self.lines.upday = Max(self.data - self.data(-self.p.period), 0.0)\n        super(UpDay, self).__init__()\n\n\nclass DownDay(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the RSI\n\n    Records days which have been \"down\", i.e.: the close price has been\n    lower than the day before.\n\n    Formula:\n      - downday = max(close_prev - close, 0)\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    lines = ('downday',)\n    params = (('period', 1),)\n\n    def __init__(self):\n        self.lines.downday = Max(self.data(-self.p.period) - self.data, 0.0)\n        super(DownDay, self).__init__()\n\n\nclass UpDayBool(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the RSI\n\n    Records days which have been \"up\", i.e.: the close price has been\n    higher than the day before.\n\n    Note:\n      - This version returns a bool rather than the difference\n\n    Formula:\n      - upday = close > close_prev\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    lines = ('upday',)\n    params = (('period', 1),)\n\n    def __init__(self):\n        self.lines.upday = self.data > self.data(-self.p.period)\n        super(UpDayBool, self).__init__()\n\n\nclass DownDayBool(Indicator):\n    '''\n    Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"* for the RSI\n\n    Records days which have been \"down\", i.e.: the close price has been\n    lower than the day before.\n\n    Note:\n      - This version returns a bool rather than the difference\n\n    Formula:\n      - downday = close_prev > close\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    lines = ('downday',)\n    params = (('period', 1),)\n\n    def __init__(self):\n        self.lines.downday = self.data(-self.p.period) > self.data\n        super(DownDayBool, self).__init__()\n\n\nclass RelativeStrengthIndex(Indicator):\n    '''Defined by J. Welles Wilder, Jr. in 1978 in his book *\"New Concepts in\n    Technical Trading Systems\"*.\n\n    It measures momentum by calculating the ration of higher closes and\n    lower closes after having been smoothed by an average, normalizing\n    the result between 0 and 100\n\n    Formula:\n      - up = upday(data)\n      - down = downday(data)\n      - maup = movingaverage(up, period)\n      - madown = movingaverage(down, period)\n      - rs = maup / madown\n      - rsi = 100 - 100 / (1 + rs)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n\n    Notes:\n      - ``safediv`` (default: False) If this parameter is True the division\n        rs = maup / madown will be checked for the special cases in which a\n        ``0 / 0`` or ``x / 0`` division will happen\n\n      - ``safehigh`` (default: 100.0) will be used as RSI value for the\n        ``x / 0`` case\n\n      - ``safelow``  (default: 50.0) will be used as RSI value for the\n        ``0 / 0`` case\n    '''\n    alias = ('RSI', 'RSI_SMMA', 'RSI_Wilder',)\n\n    lines = ('rsi',)\n    params = (\n        ('period', 14),\n        ('movav', MovAv.Smoothed),\n        ('upperband', 70.0),\n        ('lowerband', 30.0),\n        ('safediv', False),\n        ('safehigh', 100.0),\n        ('safelow', 50.0),\n        ('lookback', 1),\n    )\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        plabels += [self.p.lookback] * self.p.notdefault('lookback')\n        return plabels\n\n    def _plotinit(self):\n        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]\n\n    def __init__(self):\n        upday = UpDay(self.data, period=self.p.lookback)\n        downday = DownDay(self.data, period=self.p.lookback)\n        maup = self.p.movav(upday, period=self.p.period)\n        madown = self.p.movav(downday, period=self.p.period)\n        if not self.p.safediv:\n            rs = maup / madown\n        else:\n            highrs = self._rscalc(self.p.safehigh)\n            lowrs = self._rscalc(self.p.safelow)\n            rs = DivZeroByZero(maup, madown, highrs, lowrs)\n\n        self.lines.rsi = 100.0 - 100.0 / (1.0 + rs)\n        super(RelativeStrengthIndex, self).__init__()\n\n    def _rscalc(self, rsi):\n        try:\n            rs = (-100.0 / (rsi - 100.0)) - 1.0\n        except ZeroDivisionError:\n            return float('inf')\n\n        return rs\n\n\nclass RSI_Safe(RSI):\n    '''\n    Subclass of RSI which changes parameers ``safediv`` to ``True`` as the\n    default value\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    params = (('safediv', True),)\n\n\nclass RSI_SMA(RSI):\n    '''\n    Uses a SimpleMovingAverage as described in Wikipedia and other soures\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    alias = ('RSI_Cutler',)\n\n    params = (('movav', MovAv.Simple),)\n\n\nclass RSI_EMA(RSI):\n    '''\n    Uses an ExponentialMovingAverage as described in Wikipedia\n\n    See:\n      - http://en.wikipedia.org/wiki/Relative_strength_index\n    '''\n    params = (('movav', MovAv.Exponential),)\n"
  },
  {
    "path": "backtrader/indicators/sma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import MovingAverageBase, Average\n\n\nclass MovingAverageSimple(MovingAverageBase):\n    '''\n    Non-weighted average of the last n periods\n\n    Formula:\n      - movav = Sum(data, period) / period\n\n    See also:\n      - http://en.wikipedia.org/wiki/Moving_average#Simple_moving_average\n    '''\n    alias = ('SMA', 'SimpleMovingAverage',)\n    lines = ('sma',)\n\n    def __init__(self):\n        # Before super to ensure mixins (right-hand side in subclassing)\n        # can see the assignment operation and operate on the line\n        self.lines[0] = Average(self.data, period=self.p.period)\n\n        super(MovingAverageSimple, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/smma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import MovingAverageBase, ExponentialSmoothing\n\n\nclass SmoothedMovingAverage(MovingAverageBase):\n    '''\n    Smoothing Moving Average used by Wilder in his 1978 book `New Concepts in\n    Technical Trading`\n\n    Defined in his book originally as:\n\n      - new_value = (old_value * (period - 1) + new_data) / period\n\n    Can be expressed as a SmoothingMovingAverage with the following factors:\n\n      - self.smfactor -> 1.0 / period\n      - self.smfactor1 -> `1.0 - self.smfactor`\n\n    Formula:\n      - movav = prev * (1.0 - smoothfactor) + newdata * smoothfactor\n\n    See also:\n      - http://en.wikipedia.org/wiki/Moving_average#Modified_moving_average\n    '''\n    alias = ('SMMA', 'WilderMA', 'MovingAverageSmoothed',\n             'MovingAverageWilder', 'ModifiedMovingAverage',)\n    lines = ('smma',)\n\n    def __init__(self):\n        # Before super to ensure mixins (right-hand side in subclassing)\n        # can see the assignment operation and operate on the line\n        self.lines[0] = ExponentialSmoothing(\n            self.data,\n            period=self.p.period,\n            alpha=1.0 / self.p.period)\n        super(SmoothedMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/stochastic.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, Max, MovAv, Highest, Lowest, DivByZero\n\n\nclass _StochasticBase(Indicator):\n    lines = ('percK', 'percD',)\n    params = (('period', 14), ('period_dfast', 3), ('movav', MovAv.Simple),\n              ('upperband', 80.0), ('lowerband', 20.0),\n              ('safediv', False), ('safezero', 0.0))\n\n    plotlines = dict(percD=dict(_name='%D', ls='--'),\n                     percK=dict(_name='%K'))\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.period_dfast]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def _plotinit(self):\n        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]\n\n    def __init__(self):\n        highesthigh = Highest(self.data.high, period=self.p.period)\n        lowestlow = Lowest(self.data.low, period=self.p.period)\n        knum = self.data.close - lowestlow\n        kden = highesthigh - lowestlow\n        if self.p.safediv:\n            self.k = 100.0 * DivByZero(knum, kden, zero=self.p.safezero)\n        else:\n            self.k = 100.0 * (knum / kden)\n        self.d = self.p.movav(self.k, period=self.p.period_dfast)\n\n        super(_StochasticBase, self).__init__()\n\n\nclass StochasticFast(_StochasticBase):\n    '''\n    By Dr. George Lane in the 50s. It compares a closing price to the price\n    range and tries to show convergence if the closing prices are close to the\n    extremes\n\n      - It will go up if closing prices are close to the highs\n      - It will roughly go down if closing prices are close to the lows\n\n    It shows divergence if the extremes keep on growing but closing prices\n    do not in the same manner (distance to the extremes grow)\n\n    Formula:\n      - hh = highest(data.high, period)\n      - ll = lowest(data.low, period)\n      - knum = data.close - ll\n      - kden = hh - ll\n      - k = 100 * (knum / kden)\n      - d = MovingAverage(k, period_dfast)\n\n    See:\n      - http://en.wikipedia.org/wiki/Stochastic_oscillator\n    '''\n    def __init__(self):\n        super(StochasticFast, self).__init__()\n        self.lines.percK = self.k\n        self.lines.percD = self.d\n\n\nclass Stochastic(_StochasticBase):\n    '''\n    The regular (or slow version) adds an additional moving average layer and\n    thus:\n\n      - The percD line of the StochasticFast becomes the percK line\n      - percD becomes a  moving average of period_dslow of the original percD\n\n    Formula:\n      - k = k\n      - d = d\n      - d = MovingAverage(d, period_dslow)\n\n    See:\n      - http://en.wikipedia.org/wiki/Stochastic_oscillator\n    '''\n    alias = ('StochasticSlow',)\n    params = (('period_dslow', 3),)\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.period_dfast, self.p.period_dslow]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        super(Stochastic, self).__init__()\n        self.lines.percK = self.d\n        self.l.percD = self.p.movav(self.l.percK, period=self.p.period_dslow)\n\n\nclass StochasticFull(_StochasticBase):\n    '''\n    This version displays the 3 possible lines:\n\n      - percK\n      - percD\n      - percSlow\n\n    Formula:\n      - k = d\n      - d = MovingAverage(k, period_dslow)\n      - dslow =\n\n    See:\n      - http://en.wikipedia.org/wiki/Stochastic_oscillator\n    '''\n    lines = ('percDSlow',)\n    params = (('period_dslow', 3),)\n\n    plotlines = dict(percDSlow=dict(_name='%DSlow'))\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.period_dfast, self.p.period_dslow]\n        plabels += [self.p.movav] * self.p.notdefault('movav')\n        return plabels\n\n    def __init__(self):\n        super(StochasticFull, self).__init__()\n        self.lines.percK = self.k\n        self.lines.percD = self.d\n        self.l.percDSlow = self.p.movav(\n            self.l.percD, period=self.p.period_dslow)\n"
  },
  {
    "path": "backtrader/indicators/trix.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import Indicator, MovAv\n\n\nclass Trix(Indicator):\n    '''\n    Defined by Jack Hutson in the 80s and shows the Rate of Change (%) or slope\n    of a triple exponentially smoothed moving average\n\n    Formula:\n      - ema1 = EMA(data, period)\n      - ema2 = EMA(ema1, period)\n      - ema3 = EMA(ema2, period)\n      - trix = 100 * (ema3 - ema3(-1)) / ema3(-1)\n\n      The final formula can be simplified to: 100 * (ema3 / ema3(-1) - 1)\n\n    The moving average used is the one originally defined by Wilder,\n    the SmoothedMovingAverage\n\n    See:\n      - https://en.wikipedia.org/wiki/Trix_(technical_analysis)\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:trix\n    '''\n    alias = ('TRIX',)\n    lines = ('trix',)\n    params = (('period', 15), ('_rocperiod', 1), ('_movav', MovAv.EMA),)\n\n    plotinfo = dict(plothlines=[0.0])\n\n    def _plotlabel(self):\n        plabels = [self.p.period]\n        plabels += [self.p._rocperiod] * self.p.notdefault('_rocperiod')\n        plabels += [self.p._movav] * self.p.notdefault('_movav')\n        return plabels\n\n    def __init__(self):\n\n        ema1 = self.p._movav(self.data, period=self.p.period)\n        ema2 = self.p._movav(ema1, period=self.p.period)\n        ema3 = self.p._movav(ema2, period=self.p.period)\n\n        # 1 period Percentage Rate of Change\n        self.lines.trix = 100.0 * (ema3 / ema3(-self.p._rocperiod) - 1.0)\n\n        super(Trix, self).__init__()\n\n\nclass TrixSignal(Trix):\n    '''\n    Extension of Trix with a signal line (ala MACD)\n\n    Formula:\n      - trix = Trix(data, period)\n      - signal = EMA(trix, sigperiod)\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:trix\n    '''\n    lines = ('signal',)\n    params = (('sigperiod', 9),)\n\n    def __init__(self):\n        super(TrixSignal, self).__init__()\n\n        self.l.signal = self.p._movav(self.lines[0], period=self.p.sigperiod)\n"
  },
  {
    "path": "backtrader/indicators/tsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom . import EMA\n\n\nclass TrueStrengthIndicator(bt.Indicator):\n    '''\n    The True Strength Indicators was first introduced in Stocks & Commodities\n    Magazine by its author William Blau. It measures momentum with a double\n    exponential (default) of the prices.\n\n    It shows divergence if the extremes keep on growign but closing prices\n    do not in the same manner (distance to the extremes grow)\n\n    Formula:\n      - price_change = close - close(pchange periods ago)\n      - sm1_simple = EMA(price_close_change, period1)\n      - sm1_double = EMA(sm1_simple, period2)\n      - sm2_simple = EMA(abs(price_close_change), period1)\n      - sm2_double = EMA(sm2_simple, period2)\n      - tsi = 100.0 * sm1_double / sm2_double\n\n    See:\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:true_strength_index\n\n    Params\n\n      - ``period1``: the period for the 1st smoothing\n      - ``period2``: the period for the 2nd smoothing\n      - ``pchange``: the lookback period for the price change\n      - ``_movav``: the moving average to apply for the smoothing\n    '''\n    alias = ('TSI',)\n    params = (\n        ('period1', 25),\n        ('period2', 13),\n        ('pchange', 1),\n        ('_movav', EMA),\n    )\n    lines = ('tsi',)\n\n    def __init__(self):\n        pc = self.data - self.data(-self.p.pchange)\n\n        sm1 = self.p._movav(pc, period=self.p.period1)\n        sm12 = self.p._movav(sm1, period=self.p.period2)\n\n        sm2 = self.p._movav(abs(pc), period=self.p.period1)\n        sm22 = self.p._movav(sm2, period=self.p.period2)\n\n        self.lines.tsi = 100.0 * (sm12 / sm22)\n"
  },
  {
    "path": "backtrader/indicators/ultimateoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom backtrader.indicators import SumN, TrueLow, TrueRange\n\n\nclass UltimateOscillator(bt.Indicator):\n    '''\n    Formula:\n      # Buying Pressure = Close - TrueLow\n      BP = Close - Minimum(Low or Prior Close)\n\n      # TrueRange = TrueHigh - TrueLow\n      TR = Maximum(High or Prior Close)  -  Minimum(Low or Prior Close)\n\n      Average7 = (7-period BP Sum) / (7-period TR Sum)\n      Average14 = (14-period BP Sum) / (14-period TR Sum)\n      Average28 = (28-period BP Sum) / (28-period TR Sum)\n\n      UO = 100 x [(4 x Average7)+(2 x Average14)+Average28]/(4+2+1)\n\n    See:\n\n      - https://en.wikipedia.org/wiki/Ultimate_oscillator\n      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ultimate_oscillator\n    '''\n    lines = ('uo',)\n\n    params = (\n        ('p1', 7),\n        ('p2', 14),\n        ('p3', 28),\n        ('upperband', 70.0),\n        ('lowerband', 30.0),\n    )\n\n    def _plotinit(self):\n        baseticks = [10.0, 50.0, 90.0]\n        hlines = [self.p.upperband, self.p.lowerband]\n\n        # Plot lines at 0 & 100 to make the scale complete + upper/lower/bands\n        self.plotinfo.plotyhlines = hlines\n        # Plot ticks at \"baseticks\" + the user specified upper/lower bands\n        self.plotinfo.plotyticks = baseticks + hlines\n\n    def __init__(self):\n        bp = self.data.close - TrueLow(self.data)\n        tr = TrueRange(self.data)\n\n        av7 = SumN(bp, period=self.p.p1) / SumN(tr, period=self.p.p1)\n        av14 = SumN(bp, period=self.p.p2) / SumN(tr, period=self.p.p2)\n        av28 = SumN(bp, period=self.p.p3) / SumN(tr, period=self.p.p3)\n\n        # Multiply/divide floats outside of formula to reduce line objects\n        factor = 100.0 / (4.0 + 2.0 + 1.0)\n        uo = (4.0 * factor) * av7 + (2.0 * factor) * av14 + factor * av28\n        self.lines.uo = uo\n\n        super(UltimateOscillator, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/vortex.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n\nclass Vortex(bt.Indicator):\n    '''\n    See:\n      - http://www.vortexindicator.com/VFX_VORTEX.PDF\n\n    '''\n    lines = ('vi_plus', 'vi_minus',)\n\n    params = (('period', 14),)\n\n    plotlines = dict(vi_plus=dict(_name='+VI'), vi_minus=dict(_name='-VI'))\n\n    def __init__(self):\n        h0l1 = abs(self.data.high(0) - self.data.low(-1))\n        vm_plus = bt.ind.SumN(h0l1, period=self.p.period)\n\n        l0h1 = abs(self.data.low(0) - self.data.high(-1))\n        vm_minus = bt.ind.SumN(l0h1, period=self.p.period)\n\n        h0c1 = abs(self.data.high(0) - self.data.close(-1))\n        l0c1 = abs(self.data.low(0) - self.data.close(-1))\n        h0l0 = abs(self.data.high(0) - self.data.low(0))\n\n        tr = bt.ind.SumN(bt.Max(h0l0, h0c1, l0c1), period=self.p.period)\n\n        self.l.vi_plus = vm_plus / tr\n        self.l.vi_minus = vm_minus / tr\n"
  },
  {
    "path": "backtrader/indicators/williams.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom . import (Indicator, Highest, Lowest, If, UpDay, DownDay, Accum, TrueLow,\n               TrueHigh)\n\n\nclass WilliamsR(Indicator):\n    '''\n    Developed by Larry Williams to show the relation of closing prices to\n    the highest-lowest range of a given period.\n\n    Known as Williams %R (but % is not allowed in Python identifiers)\n\n    Formula:\n      - num = highest_period - close\n      - den = highestg_period - lowest_period\n      - percR = (num / den) * -100.0\n\n    See:\n      - http://en.wikipedia.org/wiki/Williams_%25R\n    '''\n    lines = ('percR',)\n    params = (('period', 14),\n              ('upperband', -20.0),\n              ('lowerband', -80.0),)\n\n    plotinfo = dict(plotname='Williams R%')\n    plotlines = dict(percR=dict(_name='R%'))\n\n    def _plotinif(self):\n        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]\n\n    def __init__(self):\n        h = Highest(self.data.high, period=self.p.period)\n        l = Lowest(self.data.low, period=self.p.period)\n        c = self.data.close\n\n        self.lines.percR = -100.0 * (h - c) / (h - l)\n\n        super(WilliamsR, self).__init__()\n\n\nclass WilliamsAD(Indicator):\n    '''\n    By Larry Williams. It does cumulatively measure if the price is\n    accumulating (upwards) or distributing (downwards) by using the concept of\n    UpDays and DownDays.\n\n    Prices can go upwards but do so in a fashion that no longer shows\n    accumulation because updays and downdays are canceling out each other,\n    creating a divergence.\n\n    See:\n    - http://www.metastock.com/Customer/Resources/TAAZ/?p=125\n    - http://ta.mql4.com/indicators/trends/williams_accumulation_distribution\n    '''\n    lines = ('ad',)\n\n    def __init__(self):\n        upday = UpDay(self.data.close)\n        downday = DownDay(self.data.close)\n\n        adup = If(upday, self.data.close - TrueLow(self.data), 0.0)\n        addown = If(downday, self.data.close - TrueHigh(self.data), 0.0)\n\n        self.lines.ad = Accum(adup + addown)\n\n        super(WilliamsAD, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/wma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom ..utils.py3 import range\n\nfrom . import MovingAverageBase, AverageWeighted\n\n\nclass WeightedMovingAverage(MovingAverageBase):\n    '''\n    A Moving Average which gives an arithmetic weighting to values with the\n    newest having the more weight\n\n    Formula:\n      - weights = range(1, period + 1)\n      - coef = 2 / (period * (period + 1))\n      - movav = coef * Sum(weight[i] * data[period - i] for i in range(period))\n\n    See also:\n      - http://en.wikipedia.org/wiki/Moving_average#Weighted_moving_average\n    '''\n    alias = ('WMA', 'MovingAverageWeighted',)\n    lines = ('wma',)\n\n    def __init__(self):\n        coef = 2.0 / (self.p.period * (self.p.period + 1.0))\n        weights = tuple(float(x) for x in range(1, self.p.period + 1))\n\n        # Before super to ensure mixins (right-hand side in subclassing)\n        # can see the assignment operation and operate on the line\n        self.lines[0] = AverageWeighted(\n            self.data, period=self.p.period,\n            coef=coef, weights=weights)\n\n        super(WeightedMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/zlema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom . import Indicator, MovingAverageBase, MovAv\n\n\nclass ZeroLagExponentialMovingAverage(MovingAverageBase):\n    '''\n    The zero-lag exponential moving average (ZLEMA) is a variation of the EMA\n    which adds a momentum term aiming to reduce lag in the average so as to\n    track current prices more closely.\n\n    Formula:\n      - lag = (period - 1) / 2\n      - zlema = ema(2 * data - data(-lag))\n\n    See also:\n      - http://user42.tuxfamily.org/chart/manual/Zero_002dLag-Exponential-Moving-Average.html\n\n    '''\n    alias = ('ZLEMA', 'ZeroLagEma',)\n    lines = ('zlema',)\n    params = (('_movav', MovAv.EMA),)\n\n    def __init__(self):\n        lag = (self.p.period - 1) // 2\n        data = 2 * self.data - self.data(-lag)\n        self.lines.zlema = self.p._movav(data, period=self.p.period)\n\n        super(ZeroLagExponentialMovingAverage, self).__init__()\n"
  },
  {
    "path": "backtrader/indicators/zlind.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import MAXINT\n\n\nfrom . import MovingAverageBase, MovAv\n\n\nclass ZeroLagIndicator(MovingAverageBase):\n    '''By John Ehlers and Ric Way\n\n    The zero-lag indicator (ZLIndicator) is a variation of the EMA\n    which modifies the EMA by trying to minimize the error (distance price -\n    error correction) and thus reduce the lag\n\n    Formula:\n      - EMA(data, period)\n\n      - For each iteration calculate a best-error-correction of the ema (see\n        the paper and/or the code) iterating over ``-bestgain`` ->\n        ``+bestgain`` for the error correction factor (both incl.)\n\n      - The default moving average is EMA, but can be changed with the\n        parameter ``_movav``\n\n        .. note:: the passed moving average must calculate alpha (and 1 -\n                  alpha) and make them available as attributes ``alpha`` and\n                  ``alpha1`` in the instance\n\n    See also:\n      - http://www.mesasoftware.com/papers/ZeroLag.pdf\n\n    '''\n    alias = ('ZLIndicator', 'ZLInd', 'EC', 'ErrorCorrecting',)\n    lines = ('ec',)\n    params = (\n        ('gainlimit', 50),\n        ('_movav', MovAv.EMA),\n    )\n\n    def _plotlabel(self):\n        plabels = [self.p.period, self.p.gainlimit]\n        plabels += [self.p._movav] * self.p.notdefault('_movav')\n        return plabels\n\n    def __init__(self):\n        self.ema = MovAv.EMA(period=self.p.period)\n        self.limits = [-self.p.gainlimit, self.p.gainlimit + 1]\n\n        # To make mixins work - super at the end for cooperative inheritance\n        super(ZeroLagIndicator, self).__init__()\n\n    def next(self):\n        leasterror = MAXINT  # 1000000 in original code\n        bestec = ema = self.ema[0]  # seed value 1st time for ec\n        price = self.data[0]\n        ec1 = self.lines.ec[-1]\n        alpha, alpha1 = self.ema.alpha, self.ema.alpha1\n\n        for value1 in range(*self.limits):\n            gain = value1 / 10\n            ec = alpha * (ema + gain * (price - ec1)) + alpha1 * ec1\n            error = abs(price - ec)\n            if error < leasterror:\n                leasterror = error\n                bestec = ec\n\n        self.lines.ec[0] = bestec\n"
  },
  {
    "path": "backtrader/linebuffer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n'''\n\n.. module:: linebuffer\n\nClasses that hold the buffer for a *line* and can operate on it\nwith appends, forwarding, rewinding, resetting and other\n\n.. moduleauthor:: Daniel Rodriguez\n\n'''\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport array\nimport collections\nimport datetime\nfrom itertools import islice\nimport math\n\nfrom .utils.py3 import range, with_metaclass, string_types\n\nfrom .lineroot import LineRoot, LineSingle, LineMultiple\nfrom . import metabase\nfrom .utils import num2date, time2num\n\n\nNAN = float('NaN')\n\n\nclass LineBuffer(LineSingle):\n    '''\n    LineBuffer defines an interface to an \"array.array\" (or list) in which\n    index 0 points to the item which is active for input and output.\n\n    Positive indices fetch values from the past (left hand side)\n    Negative indices fetch values from the future (if the array has been\n    extended on the right hand side)\n\n    With this behavior no index has to be passed around to entities which have\n    to work with the current value produced by other entities: the value is\n    always reachable at \"0\".\n\n    Likewise storing the current value produced by \"self\" is done at 0.\n\n    Additional operations to move the pointer (home, forward, extend, rewind,\n    advance getzero) are provided\n\n    The class can also hold \"bindings\" to other LineBuffers. When a value\n    is set in this class\n    it will also be set in the binding.\n    '''\n\n    UnBounded, QBuffer = (0, 1)\n\n    def __init__(self):\n        self.lines = [self]\n        self.mode = self.UnBounded\n        self.bindings = list()\n        self.reset()\n        self._tz = None\n\n    def get_idx(self):\n        return self._idx\n\n    def set_idx(self, idx, force=False):\n        # if QBuffer and the last position of the buffer was reached, keep\n        # it (unless force) as index 0. This allows resampling\n        #  - forward adds a position, but the 1st one is discarded, the 0 is\n        #  invariant\n        # force supports replaying, which needs the extra bar to float\n        # forward/backwards, because the last input is read, and after a\n        # \"backwards\" is used to update the previous data. Unless the position\n        # 0 was moved to the previous index, it would fail\n        if self.mode == self.QBuffer:\n            if force or self._idx < self.lenmark:\n                self._idx = idx\n        else:  # default: UnBounded\n            self._idx = idx\n\n    idx = property(get_idx, set_idx)\n\n    def reset(self):\n        ''' Resets the internal buffer structure and the indices\n        '''\n        if self.mode == self.QBuffer:\n            # add extrasize to ensure resample/replay work because they will\n            # use backwards to erase the last bar/tick before delivering a new\n            # bar The previous forward would have discarded the bar \"period\"\n            # times ago and it will not come back. Having + 1 in the size\n            # allows the forward without removing that bar\n            self.array = collections.deque(maxlen=self.maxlen + self.extrasize)\n            self.useislice = True\n        else:\n            self.array = array.array(str('d'))\n            self.useislice = False\n\n        self.lencount = 0\n        self.idx = -1\n        self.extension = 0\n\n    def qbuffer(self, savemem=0, extrasize=0):\n        self.mode = self.QBuffer\n        self.maxlen = self._minperiod\n        self.extrasize = extrasize\n        self.lenmark = self.maxlen - (not self.extrasize)\n        self.reset()\n\n    def getindicators(self):\n        return []\n\n    def minbuffer(self, size):\n        '''The linebuffer must guarantee the minimum requested size to be\n        available.\n\n        In non-dqbuffer mode, this is always true (of course until data is\n        filled at the beginning, there are less values, but minperiod in the\n        framework should account for this.\n\n        In dqbuffer mode the buffer has to be adjusted for this if currently\n        less than requested\n        '''\n        if self.mode != self.QBuffer or self.maxlen >= size:\n            return\n\n        self.maxlen = size\n        self.lenmark = self.maxlen - (not self.extrasize)\n        self.reset()\n\n    def __len__(self):\n        return self.lencount\n\n    def buflen(self):\n        ''' Real data that can be currently held in the internal buffer\n\n        The internal buffer can be longer than the actual stored data to\n        allow for \"lookahead\" operations. The real amount of data that is\n        held/can be held in the buffer\n        is returned\n        '''\n        return len(self.array) - self.extension\n\n    def __getitem__(self, ago):\n        return self.array[self.idx + ago]\n\n    def get(self, ago=0, size=1):\n        ''' Returns a slice of the array relative to *ago*\n\n        Keyword Args:\n            ago (int): Point of the array to which size will be added\n            to return the slice size(int): size of the slice to return,\n            can be positive or negative\n\n        If size is positive *ago* will mark the end of the iterable and vice\n        versa if size is negative\n\n        Returns:\n            A slice of the underlying buffer\n        '''\n        if self.useislice:\n            start = self.idx + ago - size + 1\n            end = self.idx + ago + 1\n            return list(islice(self.array, start, end))\n\n        return self.array[self.idx + ago - size + 1:self.idx + ago + 1]\n\n    def getzeroval(self, idx=0):\n        ''' Returns a single value of the array relative to the real zero\n        of the buffer\n\n        Keyword Args:\n            idx (int): Where to start relative to the real start of the buffer\n            size(int): size of the slice to return\n\n        Returns:\n            A slice of the underlying buffer\n        '''\n        return self.array[idx]\n\n    def getzero(self, idx=0, size=1):\n        ''' Returns a slice of the array relative to the real zero of the buffer\n\n        Keyword Args:\n            idx (int): Where to start relative to the real start of the buffer\n            size(int): size of the slice to return\n\n        Returns:\n            A slice of the underlying buffer\n        '''\n        if self.useislice:\n            return list(islice(self.array, idx, idx + size))\n\n        return self.array[idx:idx + size]\n\n    def __setitem__(self, ago, value):\n        ''' Sets a value at position \"ago\" and executes any associated bindings\n\n        Keyword Args:\n            ago (int): Point of the array to which size will be added to return\n            the slice\n            value (variable): value to be set\n        '''\n        self.array[self.idx + ago] = value\n        for binding in self.bindings:\n            binding[ago] = value\n\n    def set(self, value, ago=0):\n        ''' Sets a value at position \"ago\" and executes any associated bindings\n\n        Keyword Args:\n            value (variable): value to be set\n            ago (int): Point of the array to which size will be added to return\n            the slice\n        '''\n        self.array[self.idx + ago] = value\n        for binding in self.bindings:\n            binding[ago] = value\n\n    def home(self):\n        ''' Rewinds the logical index to the beginning\n\n        The underlying buffer remains untouched and the actual len can be found\n        out with buflen\n        '''\n        self.idx = -1\n        self.lencount = 0\n\n    def forward(self, value=NAN, size=1):\n        ''' Moves the logical index foward and enlarges the buffer as much as needed\n\n        Keyword Args:\n            value (variable): value to be set in new positins\n            size (int): How many extra positions to enlarge the buffer\n        '''\n        self.idx += size\n        self.lencount += size\n\n        for i in range(size):\n            self.array.append(value)\n\n    def backwards(self, size=1, force=False):\n        ''' Moves the logical index backwards and reduces the buffer as much as needed\n\n        Keyword Args:\n            size (int): How many extra positions to rewind and reduce the\n            buffer\n        '''\n        # Go directly to property setter to support force\n        self.set_idx(self._idx - size, force=force)\n        self.lencount -= size\n        for i in range(size):\n            self.array.pop()\n\n    def rewind(self, size=1):\n        self.idx -= size\n        self.lencount -= size\n\n    def advance(self, size=1):\n        ''' Advances the logical index without touching the underlying buffer\n\n        Keyword Args:\n            size (int): How many extra positions to move forward\n        '''\n        self.idx += size\n        self.lencount += size\n\n    def extend(self, value=NAN, size=0):\n        ''' Extends the underlying array with positions that the index will not reach\n\n        Keyword Args:\n            value (variable): value to be set in new positins\n            size (int): How many extra positions to enlarge the buffer\n\n        The purpose is to allow for lookahead operations or to be able to\n        set values in the buffer \"future\"\n        '''\n        self.extension += size\n        for i in range(size):\n            self.array.append(value)\n\n    def addbinding(self, binding):\n        ''' Adds another line binding\n\n        Keyword Args:\n            binding (LineBuffer): another line that must be set when this line\n            becomes a value\n        '''\n        self.bindings.append(binding)\n        # record in the binding when the period is starting (never sooner\n        # than self)\n        binding.updateminperiod(self._minperiod)\n\n    def plot(self, idx=0, size=None):\n        ''' Returns a slice of the array relative to the real zero of the buffer\n\n        Keyword Args:\n            idx (int): Where to start relative to the real start of the buffer\n            size(int): size of the slice to return\n\n        This is a variant of getzero which unless told otherwise returns the\n        entire buffer, which is usually the idea behind plottint (all must\n        plotted)\n\n        Returns:\n            A slice of the underlying buffer\n        '''\n        return self.getzero(idx, size or len(self))\n\n    def plotrange(self, start, end):\n        if self.useislice:\n            return list(islice(self.array, start, end))\n\n        return self.array[start:end]\n\n    def oncebinding(self):\n        '''\n        Executes the bindings when running in \"once\" mode\n        '''\n        larray = self.array\n        blen = self.buflen()\n        for binding in self.bindings:\n            binding.array[0:blen] = larray[0:blen]\n\n    def bind2lines(self, binding=0):\n        '''\n        Stores a binding to another line. \"binding\" can be an index or a name\n        '''\n        if isinstance(binding, string_types):\n            line = getattr(self._owner.lines, binding)\n        else:\n            line = self._owner.lines[binding]\n\n        self.addbinding(line)\n\n        return self\n\n    bind2line = bind2lines\n\n    def __call__(self, ago=None):\n        '''Returns either a delayed verison of itself in the form of a\n        LineDelay object or a timeframe adapting version with regards to a ago\n\n        Param: ago (default: None)\n\n          If ago is None or an instance of LineRoot (a lines object) the\n          returned valued is a LineCoupler instance\n\n          If ago is anything else, it is assumed to be an int and a LineDelay\n          object will be returned\n        '''\n        from .lineiterator import LineCoupler\n        if ago is None or isinstance(ago, LineRoot):\n            return LineCoupler(self, ago)\n\n        return LineDelay(self, ago)\n\n    def _makeoperation(self, other, operation, r=False, _ownerskip=None):\n        return LinesOperation(self, other, operation, r=r,\n                              _ownerskip=_ownerskip)\n\n    def _makeoperationown(self, operation, _ownerskip=None):\n        return LineOwnOperation(self, operation, _ownerskip=_ownerskip)\n\n    def _settz(self, tz):\n        self._tz = tz\n\n    def datetime(self, ago=0, tz=None, naive=True):\n        return num2date(self.array[self.idx + ago],\n                        tz=tz or self._tz, naive=naive)\n\n    def date(self, ago=0, tz=None, naive=True):\n        return num2date(self.array[self.idx + ago],\n                        tz=tz or self._tz, naive=naive).date()\n\n    def time(self, ago=0, tz=None, naive=True):\n        return num2date(self.array[self.idx + ago],\n                        tz=tz or self._tz, naive=naive).time()\n\n    def dt(self, ago=0):\n        '''\n        return numeric date part of datetimefloat\n        '''\n        return math.trunc(self.array[self.idx + ago])\n\n    def tm_raw(self, ago=0):\n        '''\n        return raw numeric time part of datetimefloat\n        '''\n        # This function is named raw because it retrieves the fractional part\n        # without transforming it to time to avoid the influence of the day\n        # count (integer part of coding)\n        return math.modf(self.array[self.idx + ago])[0]\n\n    def tm(self, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To avoid precision errors, this returns the fractional part after\n        # having converted it to a datetime.time object to avoid precision\n        # errors in comparisons\n        return time2num(num2date(self.array[self.idx + ago]).time())\n\n    def tm_lt(self, other, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To compare a raw \"tm\" part (fractional part of coded datetime)\n        # with the tm of the current datetime, the raw \"tm\" has to be\n        # brought in sync with the current \"day\" count (integer part) to avoid\n        dtime = self.array[self.idx + ago]\n        tm, dt = math.modf(dtime)\n\n        return dtime < (dt + other)\n\n    def tm_le(self, other, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To compare a raw \"tm\" part (fractional part of coded datetime)\n        # with the tm of the current datetime, the raw \"tm\" has to be\n        # brought in sync with the current \"day\" count (integer part) to avoid\n        dtime = self.array[self.idx + ago]\n        tm, dt = math.modf(dtime)\n\n        return dtime <= (dt + other)\n\n    def tm_eq(self, other, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To compare a raw \"tm\" part (fractional part of coded datetime)\n        # with the tm of the current datetime, the raw \"tm\" has to be\n        # brought in sync with the current \"day\" count (integer part) to avoid\n        dtime = self.array[self.idx + ago]\n        tm, dt = math.modf(dtime)\n\n        return dtime == (dt + other)\n\n    def tm_gt(self, other, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To compare a raw \"tm\" part (fractional part of coded datetime)\n        # with the tm of the current datetime, the raw \"tm\" has to be\n        # brought in sync with the current \"day\" count (integer part) to avoid\n        dtime = self.array[self.idx + ago]\n        tm, dt = math.modf(dtime)\n\n        return dtime > (dt + other)\n\n    def tm_ge(self, other, ago=0):\n        '''\n        return numeric time part of datetimefloat\n        '''\n        # To compare a raw \"tm\" part (fractional part of coded datetime)\n        # with the tm of the current datetime, the raw \"tm\" has to be\n        # brought in sync with the current \"day\" count (integer part) to avoid\n        dtime = self.array[self.idx + ago]\n        tm, dt = math.modf(dtime)\n\n        return dtime >= (dt + other)\n\n    def tm2dtime(self, tm, ago=0):\n        '''\n        Returns the given ``tm`` in the frame of the (ago bars) datatime.\n\n        Useful for external comparisons to avoid precision errors\n        '''\n        return int(self.array[self.idx + ago]) + tm\n\n    def tm2datetime(self, tm, ago=0):\n        '''\n        Returns the given ``tm`` in the frame of the (ago bars) datatime.\n\n        Useful for external comparisons to avoid precision errors\n        '''\n        return num2date(int(self.array[self.idx + ago]) + tm)\n\n\nclass MetaLineActions(LineBuffer.__class__):\n    '''\n    Metaclass for Lineactions\n\n    Scans the instance before init for LineBuffer (or parentclass LineSingle)\n    instances to calculate the minperiod for this instance\n\n    postinit it registers the instance to the owner (remember that owner has\n    been found in the base Metaclass for LineRoot)\n    '''\n    _acache = dict()\n    _acacheuse = False\n\n    @classmethod\n    def cleancache(cls):\n        cls._acache = dict()\n\n    @classmethod\n    def usecache(cls, onoff):\n        cls._acacheuse = onoff\n\n    def __call__(cls, *args, **kwargs):\n        if not cls._acacheuse:\n            return super(MetaLineActions, cls).__call__(*args, **kwargs)\n\n        # implement a cache to avoid duplicating lines actions\n        ckey = (cls, tuple(args), tuple(kwargs.items()))  # tuples hashable\n        try:\n            return cls._acache[ckey]\n        except TypeError:  # something not hashable\n            return super(MetaLineActions, cls).__call__(*args, **kwargs)\n        except KeyError:\n            pass  # hashable but not in the cache\n\n        _obj = super(MetaLineActions, cls).__call__(*args, **kwargs)\n        return cls._acache.setdefault(ckey, _obj)\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaLineActions, cls).dopreinit(_obj, *args, **kwargs)\n\n        _obj._clock = _obj._owner  # default setting\n\n        if isinstance(args[0], LineRoot):\n            _obj._clock = args[0]\n\n        # Keep a reference to the datas for buffer adjustment purposes\n        _obj._datas = [x for x in args if isinstance(x, LineRoot)]\n\n        # Do not produce anything until the operation lines produce something\n        _minperiods = [x._minperiod for x in args if isinstance(x, LineSingle)]\n\n        mlines = [x.lines[0] for x in args if isinstance(x, LineMultiple)]\n        _minperiods += [x._minperiod for x in mlines]\n\n        _minperiod = max(_minperiods or [1])\n\n        # update own minperiod if needed\n        _obj.updateminperiod(_minperiod)\n\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaLineActions, cls).dopostinit(_obj, *args, **kwargs)\n\n        # register with _owner to be kicked later\n        _obj._owner.addindicator(_obj)\n\n        return _obj, args, kwargs\n\n\nclass PseudoArray(object):\n    def __init__(self, wrapped):\n        self.wrapped = wrapped\n\n    def __getitem__(self, key):\n        return self.wrapped\n\n    @property\n    def array(self):\n        return self\n\n\nclass LineActions(with_metaclass(MetaLineActions, LineBuffer)):\n    '''\n    Base class derived from LineBuffer intented to defined the\n    minimum interface to make it compatible with a LineIterator by\n    providing operational _next and _once interfaces.\n\n    The metaclass does the dirty job of calculating minperiods and registering\n    '''\n\n    _ltype = LineBuffer.IndType\n\n    def getindicators(self):\n        return []\n\n    def qbuffer(self, savemem=0):\n        super(LineActions, self).qbuffer(savemem=savemem)\n        for data in self._datas:\n            data.minbuffer(size=self._minperiod)\n\n    @staticmethod\n    def arrayize(obj):\n        if isinstance(obj, LineRoot):\n            if not isinstance(obj, LineSingle):\n                obj = obj.lines[0]  # get 1st line from multiline\n        else:\n            obj = PseudoArray(obj)\n\n        return obj\n\n    def _next(self):\n        clock_len = len(self._clock)\n        if clock_len > len(self):\n            self.forward()\n\n        if clock_len > self._minperiod:\n            self.next()\n        elif clock_len == self._minperiod:\n            # only called for the 1st value\n            self.nextstart()\n        else:\n            self.prenext()\n\n    def _once(self):\n        self.forward(size=self._clock.buflen())\n        self.home()\n\n        self.preonce(0, self._minperiod - 1)\n        self.oncestart(self._minperiod - 1, self._minperiod)\n        self.once(self._minperiod, self.buflen())\n\n        self.oncebinding()\n\n\ndef LineDelay(a, ago=0, **kwargs):\n    if ago <= 0:\n        return _LineDelay(a, ago, **kwargs)\n\n    return _LineForward(a, ago, **kwargs)\n\n\ndef LineNum(num):\n    return LineDelay(PseudoArray(num))\n\n\nclass _LineDelay(LineActions):\n    '''\n    Takes a LineBuffer (or derived) object and stores the value from\n    \"ago\" periods effectively delaying the delivery of data\n    '''\n    def __init__(self, a, ago):\n        super(_LineDelay, self).__init__()\n        self.a = a\n        self.ago = ago\n\n        # Need to add the delay to the period. \"ago\" is 0 based and therefore\n        # we need to pass and extra 1 which is the minimum defined period for\n        # any data (which will be substracted inside addminperiod)\n        self.addminperiod(abs(ago) + 1)\n\n    def next(self):\n        self[0] = self.a[self.ago]\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        src = self.a.array\n        ago = self.ago\n\n        for i in range(start, end):\n            dst[i] = src[i + ago]\n\n\nclass _LineForward(LineActions):\n    '''\n    Takes a LineBuffer (or derived) object and stores the value from\n    \"ago\" periods from the future\n    '''\n    def __init__(self, a, ago):\n        super(_LineForward, self).__init__()\n        self.a = a\n        self.ago = ago\n\n        # Need to add the delay to the period. \"ago\" is 0 based and therefore\n        # we need to pass and extra 1 which is the minimum defined period for\n        # any data (which will be substracted inside addminperiod)\n        # self.addminperiod(abs(ago) + 1)\n        if ago > self.a._minperiod:\n            self.addminperiod(ago - self.a._minperiod + 1)\n\n    def next(self):\n        self[-self.ago] = self.a[0]\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        src = self.a.array\n        ago = self.ago\n\n        for i in range(start, end):\n            dst[i - ago] = src[i]\n\n\nclass LinesOperation(LineActions):\n\n    '''\n    Holds an operation that operates on a two operands. Example: mul\n\n    It will \"next\"/traverse the array applying the operation on the\n    two operands and storing the result in self.\n\n    To optimize the operations and avoid conditional checks the right\n    next/once is chosen using the operation direction (normal or reversed)\n    and the nature of the operands (LineBuffer vs non-LineBuffer)\n\n    In the \"once\" operations \"map\" could be used as in:\n\n        operated = map(self.operation, srca[start:end], srcb[start:end])\n        self.array[start:end] = array.array(str(self.typecode), operated)\n\n    No real execution time benefits were appreciated and therefore the loops\n    have been kept in place for clarity (although the maps are not really\n    unclear here)\n    '''\n\n    def __init__(self, a, b, operation, r=False):\n        super(LinesOperation, self).__init__()\n\n        self.operation = operation\n        self.a = a  # always a linebuffer\n        self.b = b\n\n        self.r = r\n        self.bline = isinstance(b, LineBuffer)\n        self.btime = isinstance(b, datetime.time)\n        self.bfloat = not self.bline and not self.btime\n\n        if r:\n            self.a, self.b = b, a\n\n    def next(self):\n        if self.bline:\n            self[0] = self.operation(self.a[0], self.b[0])\n        elif not self.r:\n            if not self.btime:\n                self[0] = self.operation(self.a[0], self.b)\n            else:\n                self[0] = self.operation(self.a.time(), self.b)\n        else:\n            self[0] = self.operation(self.a, self.b[0])\n\n    def once(self, start, end):\n        if self.bline:\n            self._once_op(start, end)\n        elif not self.r:\n            if not self.btime:\n                self._once_val_op(start, end)\n            else:\n                self._once_time_op(start, end)\n        else:\n            self._once_val_op_r(start, end)\n\n    def _once_op(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b.array\n        op = self.operation\n\n        for i in range(start, end):\n            dst[i] = op(srca[i], srcb[i])\n\n    def _once_time_op(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b\n        op = self.operation\n        tz = self._tz\n\n        for i in range(start, end):\n            dst[i] = op(num2date(srca[i], tz=tz).time(), srcb)\n\n    def _once_val_op(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        srcb = self.b\n        op = self.operation\n\n        for i in range(start, end):\n            dst[i] = op(srca[i], srcb)\n\n    def _once_val_op_r(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a\n        srcb = self.b.array\n        op = self.operation\n\n        for i in range(start, end):\n            dst[i] = op(srca, srcb[i])\n\n\nclass LineOwnOperation(LineActions):\n    '''\n    Holds an operation that operates on a single operand. Example: abs\n\n    It will \"next\"/traverse the array applying the operation and storing\n    the result in self\n    '''\n    def __init__(self, a, operation):\n        super(LineOwnOperation, self).__init__()\n\n        self.operation = operation\n        self.a = a\n\n    def next(self):\n        self[0] = self.operation(self.a[0])\n\n    def once(self, start, end):\n        # cache python dictionary lookups\n        dst = self.array\n        srca = self.a.array\n        op = self.operation\n\n        for i in range(start, end):\n            dst[i] = op(srca[i])\n"
  },
  {
    "path": "backtrader/lineiterator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport operator\nimport sys\n\nfrom .utils.py3 import map, range, zip, with_metaclass, string_types\nfrom .utils import DotDict\n\nfrom .lineroot import LineRoot, LineSingle\nfrom .linebuffer import LineActions, LineNum\nfrom .lineseries import LineSeries, LineSeriesMaker\nfrom .dataseries import DataSeries\nfrom . import metabase\n\n\nclass MetaLineIterator(LineSeries.__class__):\n    def donew(cls, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaLineIterator, cls).donew(*args, **kwargs)\n\n        # Prepare to hold children that need to be calculated and\n        # influence minperiod - Moved here to support LineNum below\n        _obj._lineiterators = collections.defaultdict(list)\n\n        # Scan args for datas ... if none are found,\n        # use the _owner (to have a clock)\n        mindatas = _obj._mindatas\n        lastarg = 0\n        _obj.datas = []\n        for arg in args:\n            if isinstance(arg, LineRoot):\n                _obj.datas.append(LineSeriesMaker(arg))\n\n            elif not mindatas:\n                break  # found not data and must not be collected\n            else:\n                try:\n                    _obj.datas.append(LineSeriesMaker(LineNum(arg)))\n                except:\n                    # Not a LineNum and is not a LineSeries - bail out\n                    break\n\n            mindatas = max(0, mindatas - 1)\n            lastarg += 1\n\n        newargs = args[lastarg:]\n\n        # If no datas have been passed to an indicator ... use the\n        # main datas of the owner, easing up adding \"self.data\" ...\n        if not _obj.datas and isinstance(_obj, (IndicatorBase, ObserverBase)):\n            _obj.datas = _obj._owner.datas[0:mindatas]\n\n        # Create a dictionary to be able to check for presence\n        # lists in python use \"==\" operator when testing for presence with \"in\"\n        # which doesn't really check for presence but for equality\n        _obj.ddatas = {x: None for x in _obj.datas}\n\n        # For each found data add access member -\n        # for the first data 2 (data and data0)\n        if _obj.datas:\n            _obj.data = data = _obj.datas[0]\n\n            for l, line in enumerate(data.lines):\n                linealias = data._getlinealias(l)\n                if linealias:\n                    setattr(_obj, 'data_%s' % linealias, line)\n                setattr(_obj, 'data_%d' % l, line)\n\n            for d, data in enumerate(_obj.datas):\n                setattr(_obj, 'data%d' % d, data)\n\n                for l, line in enumerate(data.lines):\n                    linealias = data._getlinealias(l)\n                    if linealias:\n                        setattr(_obj, 'data%d_%s' % (d, linealias), line)\n                    setattr(_obj, 'data%d_%d' % (d, l), line)\n\n        # Parameter values have now been set before __init__\n        _obj.dnames = DotDict([(d._name, d)\n                               for d in _obj.datas if getattr(d, '_name', '')])\n\n        return _obj, newargs, kwargs\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaLineIterator, cls).dopreinit(_obj, *args, **kwargs)\n\n        # if no datas were found use, use the _owner (to have a clock)\n        _obj.datas = _obj.datas or [_obj._owner]\n\n        # 1st data source is our ticking clock\n        _obj._clock = _obj.datas[0]\n\n        # To automatically set the period Start by scanning the found datas\n        # No calculation can take place until all datas have yielded \"data\"\n        # A data could be an indicator and it could take x bars until\n        # something is produced\n        _obj._minperiod = \\\n            max([x._minperiod for x in _obj.datas] or [_obj._minperiod])\n\n        # The lines carry at least the same minperiod as\n        # that provided by the datas\n        for line in _obj.lines:\n            line.addminperiod(_obj._minperiod)\n\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaLineIterator, cls).dopostinit(_obj, *args, **kwargs)\n\n        # my minperiod is as large as the minperiod of my lines\n        _obj._minperiod = max([x._minperiod for x in _obj.lines])\n\n        # Recalc the period\n        _obj._periodrecalc()\n\n        # Register (my)self as indicator to owner once\n        # _minperiod has been calculated\n        if _obj._owner is not None:\n            _obj._owner.addindicator(_obj)\n\n        return _obj, args, kwargs\n\n\nclass LineIterator(with_metaclass(MetaLineIterator, LineSeries)):\n    _nextforce = False  # force cerebro to run in next mode (runonce=False)\n\n    _mindatas = 1\n    _ltype = LineSeries.IndType\n\n    plotinfo = dict(plot=True,\n                    subplot=True,\n                    plotname='',\n                    plotskip=False,\n                    plotabove=False,\n                    plotlinelabels=False,\n                    plotlinevalues=True,\n                    plotvaluetags=True,\n                    plotymargin=0.0,\n                    plotyhlines=[],\n                    plotyticks=[],\n                    plothlines=[],\n                    plotforce=False,\n                    plotmaster=None,)\n\n    def _periodrecalc(self):\n        # last check in case not all lineiterators were assigned to\n        # lines (directly or indirectly after some operations)\n        # An example is Kaufman's Adaptive Moving Average\n        indicators = self._lineiterators[LineIterator.IndType]\n        indperiods = [ind._minperiod for ind in indicators]\n        indminperiod = max(indperiods or [self._minperiod])\n        self.updateminperiod(indminperiod)\n\n    def _stage2(self):\n        super(LineIterator, self)._stage2()\n\n        for data in self.datas:\n            data._stage2()\n\n        for lineiterators in self._lineiterators.values():\n            for lineiterator in lineiterators:\n                lineiterator._stage2()\n\n    def _stage1(self):\n        super(LineIterator, self)._stage1()\n\n        for data in self.datas:\n            data._stage1()\n\n        for lineiterators in self._lineiterators.values():\n            for lineiterator in lineiterators:\n                lineiterator._stage1()\n\n    def getindicators(self):\n        return self._lineiterators[LineIterator.IndType]\n\n    def getindicators_lines(self):\n        return [x for x in self._lineiterators[LineIterator.IndType]\n                if hasattr(x.lines, 'getlinealiases')]\n\n    def getobservers(self):\n        return self._lineiterators[LineIterator.ObsType]\n\n    def addindicator(self, indicator):\n        # store in right queue\n        self._lineiterators[indicator._ltype].append(indicator)\n\n        # use getattr because line buffers don't have this attribute\n        if getattr(indicator, '_nextforce', False):\n            # the indicator needs runonce=False\n            o = self\n            while o is not None:\n                if o._ltype == LineIterator.StratType:\n                    o.cerebro._disable_runonce()\n                    break\n\n                o = o._owner  # move up the hierarchy\n\n    def bindlines(self, owner=None, own=None):\n        if not owner:\n            owner = 0\n\n        if isinstance(owner, string_types):\n            owner = [owner]\n        elif not isinstance(owner, collections.Iterable):\n            owner = [owner]\n\n        if not own:\n            own = range(len(owner))\n\n        if isinstance(own, string_types):\n            own = [own]\n        elif not isinstance(own, collections.Iterable):\n            own = [own]\n\n        for lineowner, lineown in zip(owner, own):\n            if isinstance(lineowner, string_types):\n                lownerref = getattr(self._owner.lines, lineowner)\n            else:\n                lownerref = self._owner.lines[lineowner]\n\n            if isinstance(lineown, string_types):\n                lownref = getattr(self.lines, lineown)\n            else:\n                lownref = self.lines[lineown]\n\n            lownref.addbinding(lownerref)\n\n        return self\n\n    # Alias which may be more readable\n    bind2lines = bindlines\n    bind2line = bind2lines\n\n    def _next(self):\n        clock_len = self._clk_update()\n\n        for indicator in self._lineiterators[LineIterator.IndType]:\n            indicator._next()\n\n        self._notify()\n\n        if self._ltype == LineIterator.StratType:\n            # supporting datas with different lengths\n            minperstatus = self._getminperstatus()\n            if minperstatus < 0:\n                self.next()\n            elif minperstatus == 0:\n                self.nextstart()  # only called for the 1st value\n            else:\n                self.prenext()\n        else:\n            # assume indicators and others operate on same length datas\n            # although the above operation can be generalized\n            if clock_len > self._minperiod:\n                self.next()\n            elif clock_len == self._minperiod:\n                self.nextstart()  # only called for the 1st value\n            elif clock_len:\n                self.prenext()\n\n    def _clk_update(self):\n        clock_len = len(self._clock)\n        if clock_len != len(self):\n            self.forward()\n\n        return clock_len\n\n    def _once(self):\n        self.forward(size=self._clock.buflen())\n\n        for indicator in self._lineiterators[LineIterator.IndType]:\n            indicator._once()\n\n        for observer in self._lineiterators[LineIterator.ObsType]:\n            observer.forward(size=self.buflen())\n\n        for data in self.datas:\n            data.home()\n\n        for indicator in self._lineiterators[LineIterator.IndType]:\n            indicator.home()\n\n        for observer in self._lineiterators[LineIterator.ObsType]:\n            observer.home()\n\n        self.home()\n\n        # These 3 remain empty for a strategy and therefore play no role\n        # because a strategy will always be executed on a next basis\n        # indicators are each called with its min period\n        self.preonce(0, self._minperiod - 1)\n        self.oncestart(self._minperiod - 1, self._minperiod)\n        self.once(self._minperiod, self.buflen())\n\n        for line in self.lines:\n            line.oncebinding()\n\n    def preonce(self, start, end):\n        pass\n\n    def oncestart(self, start, end):\n        self.once(start, end)\n\n    def once(self, start, end):\n        pass\n\n    def prenext(self):\n        '''\n        This method will be called before the minimum period of all\n        datas/indicators have been meet for the strategy to start executing\n        '''\n        pass\n\n    def nextstart(self):\n        '''\n        This method will be called once, exactly when the minimum period for\n        all datas/indicators have been meet. The default behavior is to call\n        next\n        '''\n\n        # Called once for 1st full calculation - defaults to regular next\n        self.next()\n\n    def next(self):\n        '''\n        This method will be called for all remaining data points when the\n        minimum period for all datas/indicators have been meet.\n        '''\n        pass\n\n    def _addnotification(self, *args, **kwargs):\n        pass\n\n    def _notify(self):\n        pass\n\n    def _plotinit(self):\n        pass\n\n    def qbuffer(self, savemem=0):\n        if savemem:\n            for line in self.lines:\n                line.qbuffer()\n\n        # If called, anything under it, must save\n        for obj in self._lineiterators[self.IndType]:\n            obj.qbuffer(savemem=1)\n\n        # Tell datas to adjust buffer to minimum period\n        for data in self.datas:\n            data.minbuffer(self._minperiod)\n\n\n# This 3 subclasses can be used for identification purposes within LineIterator\n# or even outside (like in LineObservers)\n# for the 3 subbranches without generating circular import references\n\nclass DataAccessor(LineIterator):\n    PriceClose = DataSeries.Close\n    PriceLow = DataSeries.Low\n    PriceHigh = DataSeries.High\n    PriceOpen = DataSeries.Open\n    PriceVolume = DataSeries.Volume\n    PriceOpenInteres = DataSeries.OpenInterest\n    PriceDateTime = DataSeries.DateTime\n\n\nclass IndicatorBase(DataAccessor):\n    pass\n\n\nclass ObserverBase(DataAccessor):\n    pass\n\n\nclass StrategyBase(DataAccessor):\n    pass\n\n\n# Utility class to couple lines/lineiterators which may have different lengths\n# Will only work when runonce=False is passed to Cerebro\n\nclass SingleCoupler(LineActions):\n    def __init__(self, cdata, clock=None):\n        super(SingleCoupler, self).__init__()\n        self._clock = clock if clock is not None else self._owner\n\n        self.cdata = cdata\n        self.dlen = 0\n        self.val = float('NaN')\n\n    def next(self):\n        if len(self.cdata) > self.dlen:\n            self.val = self.cdata[0]\n            self.dlen += 1\n\n        self[0] = self.val\n\n\nclass MultiCoupler(LineIterator):\n    _ltype = LineIterator.IndType\n\n    def __init__(self):\n        super(MultiCoupler, self).__init__()\n        self.dlen = 0\n        self.dsize = self.fullsize()  # shorcut for number of lines\n        self.dvals = [float('NaN')] * self.dsize\n\n    def next(self):\n        if len(self.data) > self.dlen:\n            self.dlen += 1\n\n            for i in range(self.dsize):\n                self.dvals[i] = self.data.lines[i][0]\n\n        for i in range(self.dsize):\n            self.lines[i][0] = self.dvals[i]\n\n\ndef LinesCoupler(cdata, clock=None, **kwargs):\n    if isinstance(cdata, LineSingle):\n        return SingleCoupler(cdata, clock)  # return for single line\n\n    cdatacls = cdata.__class__  # copy important structures before creation\n    try:\n        LinesCoupler.counter += 1  # counter for unique class name\n    except AttributeError:\n        LinesCoupler.counter = 0\n\n    # Prepare a MultiCoupler subclass\n    nclsname = str('LinesCoupler_%d' % LinesCoupler.counter)\n    ncls = type(nclsname, (MultiCoupler,), {})\n    thismod = sys.modules[LinesCoupler.__module__]\n    setattr(thismod, ncls.__name__, ncls)\n    # Replace lines et al., to get a sensible clone\n    ncls.lines = cdatacls.lines\n    ncls.params = cdatacls.params\n    ncls.plotinfo = cdatacls.plotinfo\n    ncls.plotlines = cdatacls.plotlines\n\n    obj = ncls(cdata, **kwargs)  # instantiate\n    # The clock is set here to avoid it being interpreted as a data by the\n    # LineIterator background scanning code\n    if clock is None:\n        clock = getattr(cdata, '_clock', None)\n        if clock is not None:\n            nclock = getattr(clock, '_clock', None)\n            if nclock is not None:\n                clock = nclock\n            else:\n                nclock = getattr(clock, 'data', None)\n                if nclock is not None:\n                    clock = nclock\n\n        if clock is None:\n            clock = obj._owner\n\n    obj._clock = clock\n    return obj\n\n\n# Add an alias (which seems a lot more sensible for \"Single Line\" lines\nLineCoupler = LinesCoupler\n"
  },
  {
    "path": "backtrader/lineroot.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n'''\n\n.. module:: lineroot\n\nDefinition of the base class LineRoot and base classes LineSingle/LineMultiple\nto define interfaces and hierarchy for the real operational classes\n\n.. moduleauthor:: Daniel Rodriguez\n\n'''\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport operator\n\nfrom .utils.py3 import range, with_metaclass\n\nfrom . import metabase\n\n\nclass MetaLineRoot(metabase.MetaParams):\n    '''\n    Once the object is created (effectively pre-init) the \"owner\" of this\n    class is sought\n    '''\n\n    def donew(cls, *args, **kwargs):\n        _obj, args, kwargs = super(MetaLineRoot, cls).donew(*args, **kwargs)\n\n        # Find the owner and store it\n        # startlevel = 4 ... to skip intermediate call stacks\n        ownerskip = kwargs.pop('_ownerskip', None)\n        _obj._owner = metabase.findowner(_obj,\n                                         _obj._OwnerCls or LineMultiple,\n                                         skip=ownerskip)\n\n        # Parameter values have now been set before __init__\n        return _obj, args, kwargs\n\n\nclass LineRoot(with_metaclass(MetaLineRoot, object)):\n    '''\n    Defines a common base and interfaces for Single and Multiple\n    LineXXX instances\n\n        Period management\n        Iteration management\n        Operation (dual/single operand) Management\n        Rich Comparison operator definition\n    '''\n    _OwnerCls = None\n    _minperiod = 1\n    _opstage = 1\n\n    IndType, StratType, ObsType = range(3)\n\n    def _stage1(self):\n        self._opstage = 1\n\n    def _stage2(self):\n        self._opstage = 2\n\n    def _operation(self, other, operation, r=False, intify=False):\n        if self._opstage == 1:\n            return self._operation_stage1(\n                other, operation, r=r, intify=intify)\n\n        return self._operation_stage2(other, operation, r=r)\n\n    def _operationown(self, operation):\n        if self._opstage == 1:\n            return self._operationown_stage1(operation)\n\n        return self._operationown_stage2(operation)\n\n    def qbuffer(self, savemem=0):\n        '''Change the lines to implement a minimum size qbuffer scheme'''\n        raise NotImplementedError\n\n    def minbuffer(self, size):\n        '''Receive notification of how large the buffer must at least be'''\n        raise NotImplementedError\n\n    def setminperiod(self, minperiod):\n        '''\n        Direct minperiod manipulation. It could be used for example\n        by a strategy\n        to not wait for all indicators to produce a value\n        '''\n        self._minperiod = minperiod\n\n    def updateminperiod(self, minperiod):\n        '''\n        Update the minperiod if needed. The minperiod will have been\n        calculated elsewhere\n        and has to take over if greater that self's\n        '''\n        self._minperiod = max(self._minperiod, minperiod)\n\n    def addminperiod(self, minperiod):\n        '''\n        Add a minperiod to own ... to be defined by subclasses\n        '''\n        raise NotImplementedError\n\n    def incminperiod(self, minperiod):\n        '''\n        Increment the minperiod with no considerations\n        '''\n        raise NotImplementedError\n\n    def prenext(self):\n        '''\n        It will be called during the \"minperiod\" phase of an iteration.\n        '''\n        pass\n\n    def nextstart(self):\n        '''\n        It will be called when the minperiod phase is over for the 1st\n        post-minperiod value. Only called once and defaults to automatically\n        calling next\n        '''\n        self.next()\n\n    def next(self):\n        '''\n        Called to calculate values when the minperiod is over\n        '''\n        pass\n\n    def preonce(self, start, end):\n        '''\n        It will be called during the \"minperiod\" phase of a \"once\" iteration\n        '''\n        pass\n\n    def oncestart(self, start, end):\n        '''\n        It will be called when the minperiod phase is over for the 1st\n        post-minperiod value\n\n        Only called once and defaults to automatically calling once\n        '''\n        self.once(start, end)\n\n    def once(self, start, end):\n        '''\n        Called to calculate values at \"once\" when the minperiod is over\n        '''\n        pass\n\n    # Arithmetic operators\n    def _makeoperation(self, other, operation, r=False, _ownerskip=None):\n        raise NotImplementedError\n\n    def _makeoperationown(self, operation, _ownerskip=None):\n        raise NotImplementedError\n\n    def _operationown_stage1(self, operation):\n        '''\n        Operation with single operand which is \"self\"\n        '''\n        return self._makeoperationown(operation, _ownerskip=self)\n\n    def _roperation(self, other, operation, intify=False):\n        '''\n        Relies on self._operation to and passes \"r\" True to define a\n        reverse operation\n        '''\n        return self._operation(other, operation, r=True, intify=intify)\n\n    def _operation_stage1(self, other, operation, r=False, intify=False):\n        '''\n        Two operands' operation. Scanning of other happens to understand\n        if other must be directly an operand or rather a subitem thereof\n        '''\n        if isinstance(other, LineMultiple):\n            other = other.lines[0]\n\n        return self._makeoperation(other, operation, r, self)\n\n    def _operation_stage2(self, other, operation, r=False):\n        '''\n        Rich Comparison operators. Scans other and returns either an\n        operation with other directly or a subitem from other\n        '''\n        if isinstance(other, LineRoot):\n            other = other[0]\n\n        # operation(float, other) ... expecting other to be a float\n        if r:\n            return operation(other, self[0])\n\n        return operation(self[0], other)\n\n    def _operationown_stage2(self, operation):\n        return operation(self[0])\n\n    def __add__(self, other):\n        return self._operation(other, operator.__add__)\n\n    def __radd__(self, other):\n        return self._roperation(other, operator.__add__)\n\n    def __sub__(self, other):\n        return self._operation(other, operator.__sub__)\n\n    def __rsub__(self, other):\n        return self._roperation(other, operator.__sub__)\n\n    def __mul__(self, other):\n        return self._operation(other, operator.__mul__)\n\n    def __rmul__(self, other):\n        return self._roperation(other, operator.__mul__)\n\n    def __div__(self, other):\n        return self._operation(other, operator.__div__)\n\n    def __rdiv__(self, other):\n        return self._roperation(other, operator.__div__)\n\n    def __floordiv__(self, other):\n        return self._operation(other, operator.__floordiv__)\n\n    def __rfloordiv__(self, other):\n        return self._roperation(other, operator.__floordiv__)\n\n    def __truediv__(self, other):\n        return self._operation(other, operator.__truediv__)\n\n    def __rtruediv__(self, other):\n        return self._roperation(other, operator.__truediv__)\n\n    def __pow__(self, other):\n        return self._operation(other, operator.__pow__)\n\n    def __rpow__(self, other):\n        return self._roperation(other, operator.__pow__)\n\n    def __abs__(self):\n        return self._operationown(operator.__abs__)\n\n    def __neg__(self):\n        return self._operationown(operator.__neg__)\n\n    def __lt__(self, other):\n        return self._operation(other, operator.__lt__)\n\n    def __gt__(self, other):\n        return self._operation(other, operator.__gt__)\n\n    def __le__(self, other):\n        return self._operation(other, operator.__le__)\n\n    def __ge__(self, other):\n        return self._operation(other, operator.__ge__)\n\n    def __eq__(self, other):\n        return self._operation(other, operator.__eq__)\n\n    def __ne__(self, other):\n        return self._operation(other, operator.__ne__)\n\n    def __nonzero__(self):\n        return self._operationown(bool)\n\n    __bool__ = __nonzero__\n\n    # Python 3 forces explicit implementation of hash if\n    # the class has redefined __eq__\n    __hash__ = object.__hash__\n\n\nclass LineMultiple(LineRoot):\n    '''\n    Base class for LineXXX instances that hold more than one line\n    '''\n    def reset(self):\n        self._stage1()\n        self.lines.reset()\n\n    def _stage1(self):\n        super(LineMultiple, self)._stage1()\n        for line in self.lines:\n            line._stage1()\n\n    def _stage2(self):\n        super(LineMultiple, self)._stage2()\n        for line in self.lines:\n            line._stage2()\n\n    def addminperiod(self, minperiod):\n        '''\n        The passed minperiod is fed to the lines\n        '''\n        # pass it down to the lines\n        for line in self.lines:\n            line.addminperiod(minperiod)\n\n    def incminperiod(self, minperiod):\n        '''\n        The passed minperiod is fed to the lines\n        '''\n        # pass it down to the lines\n        for line in self.lines:\n            line.incminperiod(minperiod)\n\n    def _makeoperation(self, other, operation, r=False, _ownerskip=None):\n        return self.lines[0]._makeoperation(other, operation, r, _ownerskip)\n\n    def _makeoperationown(self, operation, _ownerskip=None):\n        return self.lines[0]._makeoperationown(operation, _ownerskip)\n\n    def qbuffer(self, savemem=0):\n        for line in self.lines:\n            line.qbuffer(savemem=1)\n\n    def minbuffer(self, size):\n        for line in self.lines:\n            line.minbuffer(size)\n\n\nclass LineSingle(LineRoot):\n    '''\n    Base class for LineXXX instances that hold a single line\n    '''\n    def addminperiod(self, minperiod):\n        '''\n        Add the minperiod (substracting the overlapping 1 minimum period)\n        '''\n        self._minperiod += minperiod - 1\n\n    def incminperiod(self, minperiod):\n        '''\n        Increment the minperiod with no considerations\n        '''\n        self._minperiod += minperiod\n"
  },
  {
    "path": "backtrader/lineseries.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n'''\n\n.. module:: lineroot\n\nDefines LineSeries and Descriptors inside of it for classes that hold multiple\nlines at once.\n\n.. moduleauthor:: Daniel Rodriguez\n\n'''\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\nfrom .utils.py3 import map, range, string_types, with_metaclass\n\nfrom .linebuffer import LineBuffer, LineActions, LinesOperation, LineDelay, NAN\nfrom .lineroot import LineRoot, LineSingle, LineMultiple\nfrom .metabase import AutoInfoClass\nfrom . import metabase\n\n\nclass LineAlias(object):\n    ''' Descriptor class that store a line reference and returns that line\n    from the owner\n\n    Keyword Args:\n        line (int): reference to the line that will be returned from\n        owner's *lines* buffer\n\n    As a convenience the __set__ method of the descriptor is used not set\n    the *line* reference because this is a constant along the live of the\n    descriptor instance, but rather to set the value of the *line* at the\n    instant '0' (the current one)\n    '''\n\n    def __init__(self, line):\n        self.line = line\n\n    def __get__(self, obj, cls=None):\n        return obj.lines[self.line]\n\n    def __set__(self, obj, value):\n        '''\n        A line cannot be \"set\" once it has been created. But the values\n        inside the line can be \"set\". This is achieved by adding a binding\n        to the line inside \"value\"\n        '''\n        if isinstance(value, LineMultiple):\n            value = value.lines[0]\n\n        # If the now for sure, LineBuffer 'value' is not a LineActions the\n        # binding below could kick-in too early in the chain writing the value\n        # into a not yet \"forwarded\" line, effectively writing the value 1\n        # index too early and breaking the functionality (all in next mode)\n        # Hence the need to transform it into a LineDelay object of null delay\n        if not isinstance(value, LineActions):\n            value = value(0)\n\n        value.addbinding(obj.lines[self.line])\n\n\nclass Lines(object):\n    '''\n    Defines an \"array\" of lines which also has most of the interface of\n    a LineBuffer class (forward, rewind, advance...).\n\n    This interface operations are passed to the lines held by self\n\n    The class can autosubclass itself (_derive) to hold new lines keeping them\n    in the defined order.\n    '''\n    _getlinesbase = classmethod(lambda cls: ())\n    _getlines = classmethod(lambda cls: ())\n    _getlinesextra = classmethod(lambda cls: 0)\n    _getlinesextrabase = classmethod(lambda cls: 0)\n\n    @classmethod\n    def _derive(cls, name, lines, extralines, otherbases, linesoverride=False,\n                lalias=None):\n        '''\n        Creates a subclass of this class with the lines of this class as\n        initial input for the subclass. It will include num \"extralines\" and\n        lines present in \"otherbases\"\n\n        \"name\" will be used as the suffix of the final class name\n\n        \"linesoverride\": if True the lines of all bases will be discarded and\n        the baseclass will be the topmost class \"Lines\". This is intended to\n        create a new hierarchy\n        '''\n        obaseslines = ()\n        obasesextralines = 0\n\n        for otherbase in otherbases:\n            if isinstance(otherbase, tuple):\n                obaseslines += otherbase\n            else:\n                obaseslines += otherbase._getlines()\n                obasesextralines += otherbase._getlinesextra()\n\n        if not linesoverride:\n            baselines = cls._getlines() + obaseslines\n            baseextralines = cls._getlinesextra() + obasesextralines\n        else:  # overriding lines, skip anything from baseclasses\n            baselines = ()\n            baseextralines = 0\n\n        clslines = baselines + lines\n        clsextralines = baseextralines + extralines\n        lines2add = obaseslines + lines\n\n        # str for Python 2/3 compatibility\n        basecls = cls if not linesoverride else Lines\n\n        newcls = type(str(cls.__name__ + '_' + name), (basecls,), {})\n        clsmodule = sys.modules[cls.__module__]\n        newcls.__module__ = cls.__module__\n        setattr(clsmodule, str(cls.__name__ + '_' + name), newcls)\n\n        setattr(newcls, '_getlinesbase', classmethod(lambda cls: baselines))\n        setattr(newcls, '_getlines', classmethod(lambda cls: clslines))\n\n        setattr(newcls, '_getlinesextrabase',\n                classmethod(lambda cls: baseextralines))\n        setattr(newcls, '_getlinesextra',\n                classmethod(lambda cls: clsextralines))\n\n        l2start = len(cls._getlines()) if not linesoverride else 0\n        l2add = enumerate(lines2add, start=l2start)\n        l2alias = {} if lalias is None else lalias._getkwargsdefault()\n        for line, linealias in l2add:\n            if not isinstance(linealias, string_types):\n                # a tuple or list was passed, 1st is name\n                linealias = linealias[0]\n\n            desc = LineAlias(line)  # keep a reference below\n            setattr(newcls, linealias, desc)\n\n        # Create extra aliases for the given name, checking if the names is in\n        # l2alias (which is from the argument lalias and comes from the\n        # directive 'linealias', hence the confusion here (the LineAlias come\n        # from the directive 'lines')\n        for line, linealias in enumerate(newcls._getlines()):\n            if not isinstance(linealias, string_types):\n                # a tuple or list was passed, 1st is name\n                linealias = linealias[0]\n\n            desc = LineAlias(line)  # keep a reference below\n            if linealias in l2alias:\n                extranames = l2alias[linealias]\n                if isinstance(linealias, string_types):\n                    extranames = [extranames]\n\n                for ename in extranames:\n                    setattr(newcls, ename, desc)\n\n        return newcls\n\n    @classmethod\n    def _getlinealias(cls, i):\n        '''\n        Return the alias for a line given the index\n        '''\n        lines = cls._getlines()\n        if i >= len(lines):\n            return ''\n        linealias = lines[i]\n        return linealias\n\n    @classmethod\n    def getlinealiases(cls):\n        return cls._getlines()\n\n    def itersize(self):\n        return iter(self.lines[0:self.size()])\n\n    def __init__(self, initlines=None):\n        '''\n        Create the lines recording during \"_derive\" or else use the\n        provided \"initlines\"\n        '''\n        self.lines = list()\n        for line, linealias in enumerate(self._getlines()):\n            kwargs = dict()\n            self.lines.append(LineBuffer(**kwargs))\n\n        # Add the required extralines\n        for i in range(self._getlinesextra()):\n            if not initlines:\n                self.lines.append(LineBuffer())\n            else:\n                self.lines.append(initlines[i])\n\n    def __len__(self):\n        '''\n        Proxy line operation\n        '''\n        return len(self.lines[0])\n\n    def size(self):\n        return len(self.lines) - self._getlinesextra()\n\n    def fullsize(self):\n        return len(self.lines)\n\n    def extrasize(self):\n        return self._getlinesextra()\n\n    def __getitem__(self, line):\n        '''\n        Proxy line operation\n        '''\n        return self.lines[line]\n\n    def get(self, ago=0, size=1, line=0):\n        '''\n        Proxy line operation\n        '''\n        return self.lines[line].get(ago, size=size)\n\n    def __setitem__(self, line, value):\n        '''\n        Proxy line operation\n        '''\n        setattr(self, self._getlinealias(line), value)\n\n    def forward(self, value=NAN, size=1):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.forward(value, size=size)\n\n    def backwards(self, size=1, force=False):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.backwards(size, force=force)\n\n    def rewind(self, size=1):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.rewind(size)\n\n    def extend(self, value=NAN, size=0):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.extend(value, size)\n\n    def reset(self):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.reset()\n\n    def home(self):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.home()\n\n    def advance(self, size=1):\n        '''\n        Proxy line operation\n        '''\n        for line in self.lines:\n            line.advance(size)\n\n    def buflen(self, line=0):\n        '''\n        Proxy line operation\n        '''\n        return self.lines[line].buflen()\n\n\nclass MetaLineSeries(LineMultiple.__class__):\n    '''\n    Dirty job manager for a LineSeries\n\n      - During __new__ (class creation), it reads \"lines\", \"plotinfo\",\n        \"plotlines\" class variable definitions and turns them into\n        Classes of type Lines or AutoClassInfo (plotinfo/plotlines)\n\n      - During \"new\" (instance creation) the lines/plotinfo/plotlines\n        classes are substituted in the instance with instances of the\n        aforementioned classes and aliases are added for the \"lines\" held\n        in the \"lines\" instance\n\n        Additionally and for remaining kwargs, these are matched against\n        args in plotinfo and if existent are set there and removed from kwargs\n\n        Remember that this Metaclass has a MetaParams (from metabase)\n        as root class and therefore \"params\" defined for the class have been\n        removed from kwargs at an earlier state\n    '''\n\n    def __new__(meta, name, bases, dct):\n        '''\n        Intercept class creation, identifiy lines/plotinfo/plotlines class\n        attributes and create corresponding classes for them which take over\n        the class attributes\n        '''\n\n        # Get the aliases - don't leave it there for subclasses\n        aliases = dct.setdefault('alias', ())\n        aliased = dct.setdefault('aliased', '')\n\n        # Remove the line definition (if any) from the class creation\n        linesoverride = dct.pop('linesoverride', False)\n        newlines = dct.pop('lines', ())\n        extralines = dct.pop('extralines', 0)\n\n        # remove the new plotinfo/plotlines definition if any\n        newlalias = dict(dct.pop('linealias', {}))\n\n        # remove the new plotinfo/plotlines definition if any\n        newplotinfo = dict(dct.pop('plotinfo', {}))\n        newplotlines = dict(dct.pop('plotlines', {}))\n\n        # Create the class - pulling in any existing \"lines\"\n        cls = super(MetaLineSeries, meta).__new__(meta, name, bases, dct)\n\n        # Check the line aliases before creating the lines\n        lalias = getattr(cls, 'linealias', AutoInfoClass)\n        oblalias = [x.linealias for x in bases[1:] if hasattr(x, 'linealias')]\n        cls.linealias = la = lalias._derive('la_' + name, newlalias, oblalias)\n\n        # Get the actual lines or a default\n        lines = getattr(cls, 'lines', Lines)\n\n        # Create a subclass of the lines class with our name and newlines\n        # and put it in the class\n        morebaseslines = [x.lines for x in bases[1:] if hasattr(x, 'lines')]\n        cls.lines = lines._derive(name, newlines, extralines, morebaseslines,\n                                  linesoverride, lalias=la)\n\n        # Get a copy from base class plotinfo/plotlines (created with the\n        # class or set a default)\n        plotinfo = getattr(cls, 'plotinfo', AutoInfoClass)\n        plotlines = getattr(cls, 'plotlines', AutoInfoClass)\n\n        # Create a plotinfo/plotlines subclass and set it in the class\n        morebasesplotinfo = \\\n            [x.plotinfo for x in bases[1:] if hasattr(x, 'plotinfo')]\n        cls.plotinfo = plotinfo._derive('pi_' + name, newplotinfo,\n                                        morebasesplotinfo)\n\n        # Before doing plotline newlines have been added and no plotlineinfo\n        # is there add a default\n        for line in newlines:\n            newplotlines.setdefault(line, dict())\n\n        morebasesplotlines = \\\n            [x.plotlines for x in bases[1:] if hasattr(x, 'plotlines')]\n        cls.plotlines = plotlines._derive(\n            'pl_' + name, newplotlines, morebasesplotlines, recurse=True)\n\n        # create declared class aliases (a subclass with no modifications)\n        for alias in aliases:\n            newdct = {'__doc__': cls.__doc__,\n                      '__module__': cls.__module__,\n                      'aliased': cls.__name__}\n\n            if not isinstance(alias, string_types):\n                # a tuple or list was passed, 1st is name, 2nd plotname\n                aliasplotname = alias[1]\n                alias = alias[0]\n                newdct['plotinfo'] = dict(plotname=aliasplotname)\n\n            newcls = type(str(alias), (cls,), newdct)\n            clsmodule = sys.modules[cls.__module__]\n            setattr(clsmodule, alias, newcls)\n\n        # return the class\n        return cls\n\n    def donew(cls, *args, **kwargs):\n        '''\n        Intercept instance creation, take over lines/plotinfo/plotlines\n        class attributes by creating corresponding instance variables and add\n        aliases for \"lines\" and the \"lines\" held within it\n        '''\n        # _obj.plotinfo shadows the plotinfo (class) definition in the class\n        plotinfo = cls.plotinfo()\n\n        for pname, pdef in cls.plotinfo._getitems():\n            setattr(plotinfo, pname, kwargs.pop(pname, pdef))\n\n        # Create the object and set the params in place\n        _obj, args, kwargs = super(MetaLineSeries, cls).donew(*args, **kwargs)\n\n        # set the plotinfo member in the class\n        _obj.plotinfo = plotinfo\n\n        # _obj.lines shadows the lines (class) definition in the class\n        _obj.lines = cls.lines()\n\n        # _obj.plotinfo shadows the plotinfo (class) definition in the class\n        _obj.plotlines = cls.plotlines()\n\n        # add aliases for lines and for the lines class itself\n        _obj.l = _obj.lines\n        if _obj.lines.fullsize():\n            _obj.line = _obj.lines[0]\n\n        for l, line in enumerate(_obj.lines):\n            setattr(_obj, 'line_%s' % l, _obj._getlinealias(l))\n            setattr(_obj, 'line_%d' % l, line)\n            setattr(_obj, 'line%d' % l, line)\n\n        # Parameter values have now been set before __init__\n        return _obj, args, kwargs\n\n\nclass LineSeries(with_metaclass(MetaLineSeries, LineMultiple)):\n    plotinfo = dict(\n        plot=True,\n        plotmaster=None,\n        legendloc=None,\n    )\n\n    csv = True\n\n    @property\n    def array(self):\n        return self.lines[0].array\n\n    def __getattr__(self, name):\n        # to refer to line by name directly if the attribute was not found\n        # in this object if we set an attribute in this object it will be\n        # found before we end up here\n        return getattr(self.lines, name)\n\n    def __len__(self):\n        return len(self.lines)\n\n    def __getitem__(self, key):\n        return self.lines[0][key]\n\n    def __setitem__(self, key, value):\n        setattr(self.lines, self.lines._getlinealias(key), value)\n\n    def __init__(self, *args, **kwargs):\n        # if any args, kwargs make it up to here, something is broken\n        # defining a __init__ guarantees the existence of im_func to findbases\n        # in lineiterator later, because object.__init__ has no im_func\n        # (object has slots)\n        super(LineSeries, self).__init__()\n        pass\n\n    def plotlabel(self):\n        label = self.plotinfo.plotname or self.__class__.__name__\n        sublabels = self._plotlabel()\n        if sublabels:\n            for i, sublabel in enumerate(sublabels):\n                # if isinstance(sublabel, LineSeries): ## DOESN'T WORK ???\n                if hasattr(sublabel, 'plotinfo'):\n                    try:\n                        s = sublabel.plotinfo.plotname\n                    except:\n                        s = ''\n\n                    sublabels[i] = s or sublabel.__name__\n\n            label += ' (%s)' % ', '.join(map(str, sublabels))\n        return label\n\n    def _plotlabel(self):\n        return self.params._getvalues()\n\n    def _getline(self, line, minusall=False):\n        if isinstance(line, string_types):\n            lineobj = getattr(self.lines, line)\n        else:\n            if line == -1:  # restore original api behavior - default -> 0\n                if minusall:  # minus means ... all lines\n                    return None\n                line = 0\n            lineobj = self.lines[line]\n\n        return lineobj\n\n    def __call__(self, ago=None, line=-1):\n        '''Returns either a delayed verison of itself in the form of a\n        LineDelay object or a timeframe adapting version with regards to a ago\n\n        Param: ago (default: None)\n\n          If ago is None or an instance of LineRoot (a lines object) the\n          returned valued is a LineCoupler instance\n\n          If ago is anything else, it is assumed to be an int and a LineDelay\n          object will be returned\n\n        Param: line (default: -1)\n          If a LinesCoupler will be returned ``-1`` means to return a\n          LinesCoupler which adapts all lines of the current LineMultiple\n          object. Else the appropriate line (referenced by name or index) will\n          be LineCoupled\n\n          If a LineDelay object will be returned, ``-1`` is the same as ``0``\n          (to retain compatibility with the previous default value of 0). This\n          behavior will change to return all existing lines in a LineDelayed\n          form\n\n          The referenced line (index or name) will be LineDelayed\n        '''\n        from .lineiterator import LinesCoupler  # avoid circular import\n\n        if ago is None or isinstance(ago, LineRoot):\n            args = [self, ago]\n            lineobj = self._getline(line, minusall=True)\n            if lineobj is not None:\n                args[0] = lineobj\n\n            return LinesCoupler(*args, _ownerskip=self)\n\n        # else -> assume type(ago) == int -> return LineDelay object\n        return LineDelay(self._getline(line), ago, _ownerskip=self)\n\n    # The operations below have to be overriden to make sure subclasses can\n    # reach them using \"super\" which will not call __getattr__ and\n    # LineSeriesStub (see below) already uses super\n    def forward(self, value=NAN, size=1):\n        self.lines.forward(value, size)\n\n    def backwards(self, size=1, force=False):\n        self.lines.backwards(size, force=force)\n\n    def rewind(self, size=1):\n        self.lines.rewind(size)\n\n    def extend(self, value=NAN, size=0):\n        self.lines.extend(value, size)\n\n    def reset(self):\n        self.lines.reset()\n\n    def home(self):\n        self.lines.home()\n\n    def advance(self, size=1):\n        self.lines.advance(size)\n\n\nclass LineSeriesStub(LineSeries):\n    '''Simulates a LineMultiple object based on LineSeries from a single line\n\n    The index management operations are overriden to take into account if the\n    line is a slave, ie:\n\n      - The line reference is a line from many in a LineMultiple object\n      - Both the LineMultiple object and the Line are managed by the same\n        object\n\n    Were slave not to be taken into account, the individual line would for\n    example be advanced twice:\n\n      - Once under when the LineMultiple object is advanced (because it\n        advances all lines it is holding\n      - Again as part of the regular management of the object holding it\n    '''\n\n    extralines = 1\n\n    def __init__(self, line, slave=False):\n        self.lines = self.__class__.lines(initlines=[line])\n        # give a change to find the line owner (for plotting at least)\n        self.owner = self._owner = line._owner\n        self._minperiod = line._minperiod\n        self.slave = slave\n\n    # Only execute the operations below if the object is not a slave\n    def forward(self, value=NAN, size=1):\n        if not self.slave:\n            super(LineSeriesStub, self).forward(value, size)\n\n    def backwards(self, size=1, force=False):\n        if not self.slave:\n            super(LineSeriesStub, self).backwards(size, force=force)\n\n    def rewind(self, size=1):\n        if not self.slave:\n            super(LineSeriesStub, self).rewind(size)\n\n    def extend(self, value=NAN, size=0):\n        if not self.slave:\n            super(LineSeriesStub, self).extend(value, size)\n\n    def reset(self):\n        if not self.slave:\n            super(LineSeriesStub, self).reset()\n\n    def home(self):\n        if not self.slave:\n            super(LineSeriesStub, self).home()\n\n    def advance(self, size=1):\n        if not self.slave:\n            super(LineSeriesStub, self).advance(size)\n\n    def qbuffer(self):\n        if not self.slave:\n            super(LineSeriesStub, self).qbuffer()\n\n    def minbuffer(self, size):\n        if not self.slave:\n            super(LineSeriesStub, self).minbuffer(size)\n\n\ndef LineSeriesMaker(arg, slave=False):\n    if isinstance(arg, LineSeries):\n        return arg\n\n    return LineSeriesStub(arg, slave=slave)\n"
  },
  {
    "path": "backtrader/mathsupport.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\n\ndef average(x, bessel=False):\n    '''\n    Args:\n      x: iterable with len\n\n      oneless: (default ``False``) reduces the length of the array for the\n                division.\n\n    Returns:\n      A float with the average of the elements of x\n    '''\n    return math.fsum(x) / (len(x) - bessel)\n\n\ndef variance(x, avgx=None):\n    '''\n    Args:\n      x: iterable with len\n\n    Returns:\n      A list with the variance for each element of x\n    '''\n    if avgx is None:\n        avgx = average(x)\n    return [pow(y - avgx, 2.0) for y in x]\n\n\ndef standarddev(x, avgx=None, bessel=False):\n    '''\n    Args:\n      x: iterable with len\n\n      bessel: (default ``False``) to be passed to the average to divide by\n      ``N - 1`` (Bessel's correction)\n\n    Returns:\n      A float with the standard deviation of the elements of x\n    '''\n    return math.sqrt(average(variance(x, avgx), bessel=bessel))\n"
  },
  {
    "path": "backtrader/metabase.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom collections import OrderedDict\nimport itertools\nimport sys\n\nimport backtrader as bt\nfrom .utils.py3 import zip, string_types, with_metaclass\n\n\ndef findbases(kls, topclass):\n    retval = list()\n    for base in kls.__bases__:\n        if issubclass(base, topclass):\n            retval.extend(findbases(base, topclass))\n            retval.append(base)\n\n    return retval\n\n\ndef findowner(owned, cls, startlevel=2, skip=None):\n    # skip this frame and the caller's -> start at 2\n    for framelevel in itertools.count(startlevel):\n        try:\n            frame = sys._getframe(framelevel)\n        except ValueError:\n            # Frame depth exceeded ... no owner ... break away\n            break\n\n        # 'self' in regular code\n        self_ = frame.f_locals.get('self', None)\n        if skip is not self_:\n            if self_ is not owned and isinstance(self_, cls):\n                return self_\n\n        # '_obj' in metaclasses\n        obj_ = frame.f_locals.get('_obj', None)\n        if skip is not obj_:\n            if obj_ is not owned and isinstance(obj_, cls):\n                return obj_\n\n    return None\n\n\nclass MetaBase(type):\n    def doprenew(cls, *args, **kwargs):\n        return cls, args, kwargs\n\n    def donew(cls, *args, **kwargs):\n        _obj = cls.__new__(cls, *args, **kwargs)\n        return _obj, args, kwargs\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        return _obj, args, kwargs\n\n    def doinit(cls, _obj, *args, **kwargs):\n        _obj.__init__(*args, **kwargs)\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        return _obj, args, kwargs\n\n    def __call__(cls, *args, **kwargs):\n        cls, args, kwargs = cls.doprenew(*args, **kwargs)\n        _obj, args, kwargs = cls.donew(*args, **kwargs)\n        _obj, args, kwargs = cls.dopreinit(_obj, *args, **kwargs)\n        _obj, args, kwargs = cls.doinit(_obj, *args, **kwargs)\n        _obj, args, kwargs = cls.dopostinit(_obj, *args, **kwargs)\n        return _obj\n\n\nclass AutoInfoClass(object):\n    _getpairsbase = classmethod(lambda cls: OrderedDict())\n    _getpairs = classmethod(lambda cls: OrderedDict())\n    _getrecurse = classmethod(lambda cls: False)\n\n    @classmethod\n    def _derive(cls, name, info, otherbases, recurse=False):\n        # collect the 3 set of infos\n        # info = OrderedDict(info)\n        baseinfo = cls._getpairs().copy()\n        obasesinfo = OrderedDict()\n        for obase in otherbases:\n            if isinstance(obase, (tuple, dict)):\n                obasesinfo.update(obase)\n            else:\n                obasesinfo.update(obase._getpairs())\n\n        # update the info of this class (base) with that from the other bases\n        baseinfo.update(obasesinfo)\n\n        # The info of the new class is a copy of the full base info\n        # plus and update from parameter\n        clsinfo = baseinfo.copy()\n        clsinfo.update(info)\n\n        # The new items to update/set are those from the otherbase plus the new\n        info2add = obasesinfo.copy()\n        info2add.update(info)\n\n        clsmodule = sys.modules[cls.__module__]\n        newclsname = str(cls.__name__ + '_' + name)  # str - Python 2/3 compat\n\n        # This loop makes sure that if the name has already been defined, a new\n        # unique name is found. A collision example is in the plotlines names\n        # definitions of bt.indicators.MACD and bt.talib.MACD. Both end up\n        # definining a MACD_pl_macd and this makes it impossible for the pickle\n        # module to send results over a multiprocessing channel\n        namecounter = 1\n        while hasattr(clsmodule, newclsname):\n            newclsname += str(namecounter)\n            namecounter += 1\n\n        newcls = type(newclsname, (cls,), {})\n        setattr(clsmodule, newclsname, newcls)\n\n        setattr(newcls, '_getpairsbase',\n                classmethod(lambda cls: baseinfo.copy()))\n        setattr(newcls, '_getpairs', classmethod(lambda cls: clsinfo.copy()))\n        setattr(newcls, '_getrecurse', classmethod(lambda cls: recurse))\n\n        for infoname, infoval in info2add.items():\n            if recurse:\n                recursecls = getattr(newcls, infoname, AutoInfoClass)\n                infoval = recursecls._derive(name + '_' + infoname,\n                                             infoval,\n                                             [])\n\n            setattr(newcls, infoname, infoval)\n\n        return newcls\n\n    def isdefault(self, pname):\n        return self._get(pname) == self._getkwargsdefault()[pname]\n\n    def notdefault(self, pname):\n        return self._get(pname) != self._getkwargsdefault()[pname]\n\n    def _get(self, name, default=None):\n        return getattr(self, name, default)\n\n    @classmethod\n    def _getkwargsdefault(cls):\n        return cls._getpairs()\n\n    @classmethod\n    def _getkeys(cls):\n        return cls._getpairs().keys()\n\n    @classmethod\n    def _getdefaults(cls):\n        return list(cls._getpairs().values())\n\n    @classmethod\n    def _getitems(cls):\n        return cls._getpairs().items()\n\n    @classmethod\n    def _gettuple(cls):\n        return tuple(cls._getpairs().items())\n\n    def _getkwargs(self, skip_=False):\n        l = [\n            (x, getattr(self, x))\n            for x in self._getkeys() if not skip_ or not x.startswith('_')]\n        return OrderedDict(l)\n\n    def _getvalues(self):\n        return [getattr(self, x) for x in self._getkeys()]\n\n    def __new__(cls, *args, **kwargs):\n        obj = super(AutoInfoClass, cls).__new__(cls, *args, **kwargs)\n\n        if cls._getrecurse():\n            for infoname in obj._getkeys():\n                recursecls = getattr(cls, infoname)\n                setattr(obj, infoname, recursecls())\n\n        return obj\n\n\nclass MetaParams(MetaBase):\n    def __new__(meta, name, bases, dct):\n        # Remove params from class definition to avoid inheritance\n        # (and hence \"repetition\")\n        newparams = dct.pop('params', ())\n\n        packs = 'packages'\n        newpackages = tuple(dct.pop(packs, ()))  # remove before creation\n\n        fpacks = 'frompackages'\n        fnewpackages = tuple(dct.pop(fpacks, ()))  # remove before creation\n\n        # Create the new class - this pulls predefined \"params\"\n        cls = super(MetaParams, meta).__new__(meta, name, bases, dct)\n\n        # Pulls the param class out of it - default is the empty class\n        params = getattr(cls, 'params', AutoInfoClass)\n\n        # Pulls the packages class out of it - default is the empty class\n        packages = tuple(getattr(cls, packs, ()))\n        fpackages = tuple(getattr(cls, fpacks, ()))\n\n        # get extra (to the right) base classes which have a param attribute\n        morebasesparams = [x.params for x in bases[1:] if hasattr(x, 'params')]\n\n        # Get extra packages, add them to the packages and put all in the class\n        for y in [x.packages for x in bases[1:] if hasattr(x, packs)]:\n            packages += tuple(y)\n\n        for y in [x.frompackages for x in bases[1:] if hasattr(x, fpacks)]:\n            fpackages += tuple(y)\n\n        cls.packages = packages + newpackages\n        cls.frompackages = fpackages + fnewpackages\n\n        # Subclass and store the newly derived params class\n        cls.params = params._derive(name, newparams, morebasesparams)\n\n        return cls\n\n    def donew(cls, *args, **kwargs):\n        clsmod = sys.modules[cls.__module__]\n        # import specified packages\n        for p in cls.packages:\n            if isinstance(p, (tuple, list)):\n                p, palias = p\n            else:\n                palias = p\n\n            pmod = __import__(p)\n\n            plevels = p.split('.')\n            if p == palias and len(plevels) > 1:  # 'os.path' not aliased\n                setattr(clsmod, pmod.__name__, pmod)  # set 'os' in module\n\n            else:  # aliased and/or dots\n                for plevel in plevels[1:]:  # recurse down the mod\n                    pmod = getattr(pmod, plevel)\n\n                setattr(clsmod, palias, pmod)\n\n        # import from specified packages - the 2nd part is a string or iterable\n        for p, frompackage in cls.frompackages:\n            if isinstance(frompackage, string_types):\n                frompackage = (frompackage,)  # make it a tuple\n\n            for fp in frompackage:\n                if isinstance(fp, (tuple, list)):\n                    fp, falias = fp\n                else:\n                    fp, falias = fp, fp  # assumed is string\n\n                # complain \"not string\" without fp (unicode vs bytes)\n                pmod = __import__(p, fromlist=[str(fp)])\n                pattr = getattr(pmod, fp)\n                setattr(clsmod, falias, pattr)\n                for basecls in cls.__bases__:\n                    setattr(sys.modules[basecls.__module__], falias, pattr)\n\n        # Create params and set the values from the kwargs\n        params = cls.params()\n        for pname, pdef in cls.params._getitems():\n            setattr(params, pname, kwargs.pop(pname, pdef))\n\n        # Create the object and set the params in place\n        _obj, args, kwargs = super(MetaParams, cls).donew(*args, **kwargs)\n        _obj.params = params\n        _obj.p = params  # shorter alias\n\n        # Parameter values have now been set before __init__\n        return _obj, args, kwargs\n\n\nclass ParamsBase(with_metaclass(MetaParams, object)):\n    pass  # stub to allow easy subclassing without metaclasses\n\n\nclass ItemCollection(object):\n    '''\n    Holds a collection of items that can be reached by\n\n      - Index\n      - Name (if set in the append operation)\n    '''\n    def __init__(self):\n        self._items = list()\n        self._names = list()\n\n    def __len__(self):\n        return len(self._items)\n\n    def append(self, item, name=None):\n        setattr(self, name, item)\n        self._items.append(item)\n        if name:\n            self._names.append(name)\n\n    def __getitem__(self, key):\n        return self._items[key]\n\n    def getnames(self):\n        return self._names\n\n    def getitems(self):\n        return zip(self._names, self._items)\n\n    def getbyname(self, name):\n        idx = self._names.index(name)\n        return self._items[idx]\n"
  },
  {
    "path": "backtrader/observer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .lineiterator import LineIterator, ObserverBase, StrategyBase\nfrom backtrader.utils.py3 import with_metaclass\n\n\nclass MetaObserver(ObserverBase.__class__):\n    def donew(cls, *args, **kwargs):\n        _obj, args, kwargs = super(MetaObserver, cls).donew(*args, **kwargs)\n        _obj._analyzers = list()  # keep children analyzers\n\n        return _obj, args, kwargs  # return the instantiated object and args\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaObserver, cls).dopreinit(_obj, *args, **kwargs)\n\n        if _obj._stclock:  # Change clock if strategy wide observer\n            _obj._clock = _obj._owner\n\n        return _obj, args, kwargs\n\n\nclass Observer(with_metaclass(MetaObserver, ObserverBase)):\n    _stclock = False\n\n    _OwnerCls = StrategyBase\n    _ltype = LineIterator.ObsType\n\n    csv = True\n\n    plotinfo = dict(plot=False, subplot=True)\n\n    # An Observer is ideally always observing and that' why prenext calls\n    # next. The behaviour can be overriden by subclasses\n    def prenext(self):\n        self.next()\n\n    def _register_analyzer(self, analyzer):\n        self._analyzers.append(analyzer)\n\n    def _start(self):\n        self.start()\n\n    def start(self):\n        pass\n"
  },
  {
    "path": "backtrader/observers/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the Indicator objects\n# of prepend an \"_\" (underscore) to private classes/variables\n\nfrom .broker import *\nfrom .buysell import *\nfrom .trades import *\nfrom .drawdown import *\nfrom .timereturn import *\nfrom .benchmark import *\n\nfrom .logreturns import *\n"
  },
  {
    "path": "backtrader/observers/benchmark.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom . import TimeReturn\n\n\nclass Benchmark(TimeReturn):\n    '''This observer stores the *returns* of the strategy and the *return* of a\n    reference asset which is one of the datas passed to the system.\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` then the complete return over the entire backtested period\n        will be reported\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n      - ``data`` (default: ``None``)\n\n        Reference asset to track to allow for comparison.\n\n        .. note:: this data must have been added to a ``cerebro`` instance with\n                  ``addata``, ``resampledata`` or ``replaydata``.\n\n\n      - ``_doprenext`` (default: ``False``)\n\n        Benchmarking will take place from the point at which the strategy kicks\n        in (i.e.: when the minimum period of the strategy has been met).\n\n        Setting this to ``True`` will record benchmarking values from the\n        starting point of the data feeds\n\n      - ``firstopen`` (default: ``False``)\n\n        Keepint it as ``False`` ensures that the 1st comparison point between\n        the value and the benchmark starts at 0%, because the benchmark will\n        not use its opening price.\n\n        See the ``TimeReturn`` analyzer reference for a full explanation of the\n        meaning of the parameter\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Remember that at any moment of a ``run`` the current values can be checked\n    by looking at the *lines* by name at index ``0``.\n\n    '''\n    _stclock = True\n\n    lines = ('benchmark',)\n    plotlines = dict(benchmark=dict(_name='Benchmark'))\n\n    params = (\n        ('data', None),\n        ('_doprenext', False),\n        # Set to false to ensure the asset is measured at 0% in the 1st tick\n        ('firstopen', False),\n        ('fund', None)\n    )\n\n    def _plotlabel(self):\n        labels = super(Benchmark, self)._plotlabel()\n        labels.append(self.p.data._name)\n        return labels\n\n    def __init__(self):\n        if self.p.data is None:  # use the 1st data in the system if none given\n            self.p.data = self.data0\n\n        super(Benchmark, self).__init__()  # treturn including data parameter\n        # Create a time return object without the data\n        kwargs = self.p._getkwargs()\n        kwargs.update(data=None)  # to create a return for the stratey\n        t = self._owner._addanalyzer_slave(bt.analyzers.TimeReturn, **kwargs)\n\n        # swap for consistency\n        self.treturn, self.tbench = t, self.treturn\n\n    def next(self):\n        super(Benchmark, self).next()\n        self.lines.benchmark[0] = self.tbench.rets.get(self.treturn.dtkey,\n                                                       float('NaN'))\n\n    def prenext(self):\n        if self.p._doprenext:\n            super(TimeReturn, self).prenext()\n"
  },
  {
    "path": "backtrader/observers/broker.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom .. import Observer\n\n\nclass Cash(Observer):\n    '''This observer keeps track of the current amount of cash in the broker\n\n    Params: None\n    '''\n    _stclock = True\n\n    lines = ('cash',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    def next(self):\n        self.lines[0][0] = self._owner.broker.getcash()\n\n\nclass Value(Observer):\n    '''This observer keeps track of the current portfolio value in the broker\n    including the cash\n\n    Params:\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    '''\n    _stclock = True\n\n    params = (\n        ('fund', None),\n    )\n\n    lines = ('value',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    def start(self):\n        if self.p.fund is None:\n            self._fundmode = self._owner.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n    def next(self):\n        if not self._fundmode:\n            self.lines[0][0] = self._owner.broker.getvalue()\n        else:\n            self.lines[0][0] = self._owner.broker.fundvalue\n\n\nclass Broker(Observer):\n    '''This observer keeps track of the current cash amount and portfolio value in\n    the broker (including the cash)\n\n    Params: None\n    '''\n    _stclock = True\n\n    params = (\n        ('fund', None),\n    )\n\n    alias = ('CashValue',)\n    lines = ('cash', 'value')\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    def start(self):\n        if self.p.fund is None:\n            self._fundmode = self._owner.broker.fundmode\n        else:\n            self._fundmode = self.p.fund\n\n        if self._fundmode:\n            self.plotlines.cash._plotskip = True\n            self.plotlines.value._name = 'FundValue'\n\n    def next(self):\n        if not self._fundmode:\n            self.lines.value[0] = value = self._owner.broker.getvalue()\n            self.lines.cash[0] = self._owner.broker.getcash()\n        else:\n            self.lines.value[0] = self._owner.broker.fundvalue\n\n\nclass FundValue(Observer):\n    '''This observer keeps track of the current fund-like value\n\n    Params: None\n    '''\n    _stclock = True\n\n    alias = ('FundShareValue', 'FundVal')\n    lines = ('fundval',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    def next(self):\n        self.lines.fundval[0] = self._owner.broker.fundvalue\n\n\nclass FundShares(Observer):\n    '''This observer keeps track of the current fund-like shares\n\n    Params: None\n    '''\n    _stclock = True\n\n    lines = ('fundshares',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    def next(self):\n        self.lines.fundshares[0] = self._owner.broker.fundshares\n"
  },
  {
    "path": "backtrader/observers/buysell.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nfrom ..observer import Observer\n\n\nclass BuySell(Observer):\n    '''\n    This observer keeps track of the individual buy/sell orders (individual\n    executions) and will plot them on the chart along the data around the\n    execution price level\n\n    Params:\n      - ``barplot`` (default: ``False``) Plot buy signals below the minimum and\n        sell signals above the maximum.\n\n        If ``False`` it will plot on the average price of executions during a\n        bar\n\n      - ``bardist`` (default: ``0.015`` 1.5%) Distance to max/min when\n        ``barplot`` is ``True``\n    '''\n    lines = ('buy', 'sell',)\n\n    plotinfo = dict(plot=True, subplot=False, plotlinelabels=True)\n    plotlines = dict(\n        buy=dict(marker='^', markersize=8.0, color='lime',\n                 fillstyle='full', ls=''),\n        sell=dict(marker='v', markersize=8.0, color='red',\n                  fillstyle='full', ls='')\n    )\n\n    params = (\n        ('barplot', False),  # plot above/below max/min for clarity in bar plot\n        ('bardist', 0.015),  # distance to max/min in absolute perc\n    )\n\n    def next(self):\n        buy = list()\n        sell = list()\n\n        for order in self._owner._orderspending:\n            if order.data is not self.data or not order.executed.size:\n                continue\n\n            if order.isbuy():\n                buy.append(order.executed.price)\n            else:\n                sell.append(order.executed.price)\n\n        # Take into account replay ... something could already be in there\n        # Write down the average buy/sell price\n\n        # BUY\n        curbuy = self.lines.buy[0]\n        if curbuy != curbuy:  # NaN\n            curbuy = 0.0\n            self.curbuylen = curbuylen = 0\n        else:\n            curbuylen = self.curbuylen\n\n        buyops = (curbuy + math.fsum(buy))\n        buylen = curbuylen + len(buy)\n\n        value = buyops / float(buylen or 'NaN')\n        if not self.p.barplot:\n            self.lines.buy[0] = value\n        elif value == value:  # Not NaN\n            pbuy = self.data.low[0] * (1 - self.p.bardist)\n            self.lines.buy[0] = pbuy\n\n        # Update buylen values\n        curbuy = buyops\n        self.curbuylen = buylen\n\n        # SELL\n        cursell = self.lines.sell[0]\n        if cursell != cursell:  # NaN\n            cursell = 0.0\n            self.curselllen = curselllen = 0\n        else:\n            curselllen = self.curselllen\n\n        sellops = (cursell + math.fsum(sell))\n        selllen = curselllen + len(sell)\n\n        value = sellops / float(selllen or 'NaN')\n        if not self.p.barplot:\n            self.lines.sell[0] = value\n        elif value == value:  # Not NaN\n            psell = self.data.high[0] * (1 + self.p.bardist)\n            self.lines.sell[0] = psell\n\n        # Update selllen values\n        cursell = sellops\n        self.curselllen = selllen\n"
  },
  {
    "path": "backtrader/observers/drawdown.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom .. import Observer\n\n\nclass DrawDown(Observer):\n    '''This observer keeps track of the current drawdown level (plotted) and\n    the maxdrawdown (not plotted) levels\n\n    Params:\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    '''\n    _stclock = True\n\n    params = (\n        ('fund', None),\n    )\n\n    lines = ('drawdown', 'maxdrawdown',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    plotlines = dict(maxdrawdown=dict(_plotskip=True,))\n\n    def __init__(self):\n        kwargs = self.p._getkwargs()\n        self._dd = self._owner._addanalyzer_slave(bt.analyzers.DrawDown,\n                                                  **kwargs)\n\n    def next(self):\n        self.lines.drawdown[0] = self._dd.rets.drawdown  # update drawdown\n        self.lines.maxdrawdown[0] = self._dd.rets.max.drawdown  # update max\n\n\nclass DrawDownLength(Observer):\n    '''This observer keeps track of the current drawdown length (plotted) and\n    the drawdown max length (not plotted)\n\n    Params: None\n    '''\n    _stclock = True\n\n    lines = ('len', 'maxlen',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    plotlines = dict(maxlength=dict(_plotskip=True,))\n\n    def __init__(self):\n        self._dd = self._owner._addanalyzer_slave(bt.analyzers.DrawDown)\n\n    def next(self):\n        self.lines.len[0] = self._dd.rets.len  # update drawdown length\n        self.lines.maxlen[0] = self._dd.rets.max.len  # update max length\n\n\nclass DrawDown_Old(Observer):\n    '''This observer keeps track of the current drawdown level (plotted) and\n    the maxdrawdown (not plotted) levels\n\n    Params: None\n    '''\n    _stclock = True\n\n    lines = ('drawdown', 'maxdrawdown',)\n\n    plotinfo = dict(plot=True, subplot=True)\n\n    plotlines = dict(maxdrawdown=dict(_plotskip='True',))\n\n    def __init__(self):\n        super(DrawDown_Old, self).__init__()\n\n        self.maxdd = 0.0\n        self.peak = float('-inf')\n\n    def next(self):\n        value = self._owner.broker.getvalue()\n\n        # update the maximum seen peak\n        if value > self.peak:\n            self.peak = value\n\n        # calculate the current drawdown\n        self.lines.drawdown[0] = dd = 100.0 * (self.peak - value) / self.peak\n\n        # update the maxdrawdown if needed\n        self.lines.maxdrawdown[0] = self.maxdd = max(self.maxdd, dd)\n"
  },
  {
    "path": "backtrader/observers/logreturns.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\n\n\n__all__ = ['LogReturns', 'LogReturns2']\n\n\nclass LogReturns(bt.Observer):\n    '''This observer stores the *log returns* of the strategy or a\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` then the complete return over the entire backtested period\n        will be reported\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Remember that at any moment of a ``run`` the current values can be checked\n    by looking at the *lines* by name at index ``0``.\n\n    '''\n    _stclock = True\n\n    lines = ('logret1',)\n    plotinfo = dict(plot=True, subplot=True)\n\n    params = (\n        ('timeframe', None),\n        ('compression', None),\n        ('fund', None),\n    )\n\n    def _plotlabel(self):\n        return [bt.TimeFrame.getname(self.p.timeframe, self.p.compression),\n                str(self.p.compression or 1)]\n\n    def __init__(self):\n        self.logret1 = self._owner._addanalyzer_slave(\n            bt.analyzers.LogReturnsRolling,\n            data=self.data0, **self.p._getkwargs())\n\n    def next(self):\n        self.lines.logret1[0] = self.logret1.rets[self.logret1.dtkey]\n\n\nclass LogReturns2(LogReturns):\n    '''Extends the observer LogReturns to show two instruments'''\n    lines = ('logret2',)\n\n    def __init__(self):\n        super(LogReturns2, self).__init__()\n\n        self.logret2 = self._owner._addanalyzer_slave(\n            bt.analyzers.LogReturnsRolling,\n            data=self.data1, **self.p._getkwargs())\n\n    def next(self):\n        super(LogReturns2, self).next()\n        self.lines.logret2[0] = self.logret2.rets[self.logret2.dtkey]\n"
  },
  {
    "path": "backtrader/observers/timereturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport calendar\nimport datetime\n\nimport backtrader as bt\nfrom .. import Observer, TimeFrame\n\nfrom backtrader.utils.py3 import MAXINT\n\n\nclass TimeReturn(Observer):\n    '''This observer stores the *returns* of the strategy.\n\n    Params:\n\n      - ``timeframe`` (default: ``None``)\n        If ``None`` then the complete return over the entire backtested period\n        will be reported\n\n        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no\n        time constraints\n\n      - ``compression`` (default: ``None``)\n\n        Only used for sub-day timeframes to for example work on an hourly\n        timeframe by specifying \"TimeFrame.Minutes\" and 60 as compression\n\n      - ``fund`` (default: ``None``)\n\n        If ``None`` the actual mode of the broker (fundmode - True/False) will\n        be autodetected to decide if the returns are based on the total net\n        asset value or on the fund value. See ``set_fundmode`` in the broker\n        documentation\n\n        Set it to ``True`` or ``False`` for a specific behavior\n\n    Remember that at any moment of a ``run`` the current values can be checked\n    by looking at the *lines* by name at index ``0``.\n\n    '''\n    _stclock = True\n\n    lines = ('timereturn',)\n    plotinfo = dict(plot=True, subplot=True)\n    plotlines = dict(timereturn=dict(_name='Return'))\n\n    params = (\n        ('timeframe', None),\n        ('compression', None),\n        ('fund', None),\n    )\n\n    def _plotlabel(self):\n        return [\n            # Use the final tf/comp values calculated by the return analyzer\n            TimeFrame.getname(self.treturn.timeframe,\n                              self.treturn.compression),\n            str(self.treturn.compression)\n        ]\n\n    def __init__(self):\n        self.treturn = self._owner._addanalyzer_slave(bt.analyzers.TimeReturn,\n                                                      **self.p._getkwargs())\n\n    def next(self):\n        self.lines.timereturn[0] = self.treturn.rets.get(self.treturn.dtkey,\n                                                         float('NaN'))\n"
  },
  {
    "path": "backtrader/observers/trades.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport uuid\n\nfrom .. import Observer\nfrom ..utils.py3 import with_metaclass\n\nfrom ..trade import Trade\n\n\nclass Trades(Observer):\n    '''This observer keeps track of full trades and plot the PnL level achieved\n    when a trade is closed.\n\n    A trade is open when a position goes from 0 (or crossing over 0) to X and\n    is then closed when it goes back to 0 (or crosses over 0 in the opposite\n    direction)\n\n    Params:\n      - ``pnlcomm`` (def: ``True``)\n\n        Show net/profit and loss, i.e.: after commission. If set to ``False``\n        if will show the result of trades before commission\n    '''\n    _stclock = True\n\n    lines = ('pnlplus', 'pnlminus')\n\n    params = dict(pnlcomm=True)\n\n    plotinfo = dict(plot=True, subplot=True,\n                    plotname='Trades - Net Profit/Loss',\n                    plotymargin=0.10,\n                    plothlines=[0.0])\n\n    plotlines = dict(\n        pnlplus=dict(_name='Positive',\n                     ls='', marker='o', color='blue',\n                     markersize=8.0, fillstyle='full'),\n        pnlminus=dict(_name='Negative',\n                      ls='', marker='o', color='red',\n                      markersize=8.0, fillstyle='full')\n    )\n\n    def __init__(self):\n\n        self.trades = 0\n\n        self.trades_long = 0\n        self.trades_short = 0\n\n        self.trades_plus = 0\n        self.trades_minus = 0\n\n        self.trades_plus_gross = 0\n        self.trades_minus_gross = 0\n\n        self.trades_win = 0\n        self.trades_win_max = 0\n        self.trades_win_min = 0\n\n        self.trades_loss = 0\n        self.trades_loss_max = 0\n        self.trades_loss_min = 0\n\n        self.trades_length = 0\n        self.trades_length_max = 0\n        self.trades_length_min = 0\n\n    def next(self):\n        for trade in self._owner._tradespending:\n            if trade.data not in self.ddatas:\n                continue\n\n            if not trade.isclosed:\n                continue\n\n            pnl = trade.pnlcomm if self.p.pnlcomm else trade.pnl\n\n            if pnl >= 0.0:\n                self.lines.pnlplus[0] = pnl\n            else:\n                self.lines.pnlminus[0] = pnl\n\n\nclass MetaDataTrades(Observer.__class__):\n    def donew(cls, *args, **kwargs):\n        _obj, args, kwargs = super(MetaDataTrades, cls).donew(*args, **kwargs)\n\n        # Recreate the lines dynamically\n        if _obj.params.usenames:\n            lnames = tuple(x._name for x in _obj.datas)\n        else:\n            lnames = tuple('data{}'.format(x) for x in range(len(_obj.datas)))\n\n        # Generate a new lines class\n        linescls = cls.lines._derive(uuid.uuid4().hex, lnames, 0, ())\n\n        # Instantiate lines\n        _obj.lines = linescls()\n\n        # Generate plotlines info\n        markers = ['o', 'v', '^', '<', '>', '1', '2', '3', '4', '8', 's', 'p',\n                   '*', 'h', 'H', '+', 'x', 'D', 'd']\n\n        colors = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'b', 'g', 'r', 'c', 'm',\n                  'y', 'k', 'b', 'g', 'r', 'c', 'm']\n\n        basedict = dict(ls='', markersize=8.0, fillstyle='full')\n\n        plines = dict()\n        for lname, marker, color in zip(lnames, markers, colors):\n            plines[lname] = d = basedict.copy()\n            d.update(marker=marker, color=color)\n\n        plotlines = cls.plotlines._derive(\n            uuid.uuid4().hex, plines, [], recurse=True)\n        _obj.plotlines = plotlines()\n\n        return _obj, args, kwargs  # return the instantiated object and args\n\n\nclass DataTrades(with_metaclass(MetaDataTrades, Observer)):\n    _stclock = True\n\n    params = (('usenames', True),)\n\n    plotinfo = dict(plot=True, subplot=True, plothlines=[0.0],\n                    plotymargin=0.10)\n\n    plotlines = dict()\n\n    def next(self):\n        for trade in self._owner._tradespending:\n            if trade.data not in self.ddatas:\n                continue\n\n            if not trade.isclosed:\n                continue\n\n            self.lines[trade.data._id - 1][0] = trade.pnl\n"
  },
  {
    "path": "backtrader/order.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom copy import copy\nimport datetime\nimport itertools\n\nfrom .utils.py3 import range, with_metaclass, iteritems\n\nfrom .metabase import MetaParams\nfrom .utils import AutoOrderedDict\n\n\nclass OrderExecutionBit(object):\n    '''\n    Intended to hold information about order execution. A \"bit\" does not\n    determine if the order has been fully/partially executed, it just holds\n    information.\n\n    Member Attributes:\n\n      - dt: datetime (float) execution time\n      - size: how much was executed\n      - price: execution price\n      - closed: how much of the execution closed an existing postion\n      - opened: how much of the execution opened a new position\n      - openedvalue: market value of the \"opened\" part\n      - closedvalue: market value of the \"closed\" part\n      - closedcomm: commission for the \"closed\" part\n      - openedcomm: commission for the \"opened\" part\n\n      - value: market value for the entire bit size\n      - comm: commission for the entire bit execution\n      - pnl: pnl generated by this bit (if something was closed)\n\n      - psize: current open position size\n      - pprice: current open position price\n\n    '''\n\n    def __init__(self,\n                 dt=None, size=0, price=0.0,\n                 closed=0, closedvalue=0.0, closedcomm=0.0,\n                 opened=0, openedvalue=0.0, openedcomm=0.0,\n                 pnl=0.0,\n                 psize=0, pprice=0.0):\n\n        self.dt = dt\n        self.size = size\n        self.price = price\n\n        self.closed = closed\n        self.opened = opened\n        self.closedvalue = closedvalue\n        self.openedvalue = openedvalue\n        self.closedcomm = closedcomm\n        self.openedcomm = openedcomm\n\n        self.value = closedvalue + openedvalue\n        self.comm = closedcomm + openedcomm\n        self.pnl = pnl\n\n        self.psize = psize\n        self.pprice = pprice\n\n\nclass OrderData(object):\n    '''\n    Holds actual order data for Creation and Execution.\n\n    In the case of Creation the request made and in the case of Execution the\n    actual outcome.\n\n    Member Attributes:\n\n      - exbits : iterable of OrderExecutionBits for this OrderData\n\n      - dt: datetime (float) creation/execution time\n      - size: requested/executed size\n      - price: execution price\n        Note: if no price is given and no pricelimite is given, the closing\n        price at the time or order creation will be used as reference\n      - pricelimit: holds pricelimit for StopLimit (which has trigger first)\n      - trailamount: absolute price distance in trailing stops\n      - trailpercent: percentage price distance in trailing stops\n\n      - value: market value for the entire bit size\n      - comm: commission for the entire bit execution\n      - pnl: pnl generated by this bit (if something was closed)\n      - margin: margin incurred by the Order (if any)\n\n      - psize: current open position size\n      - pprice: current open position price\n\n    '''\n    # According to the docs, collections.deque is thread-safe with appends at\n    # both ends, there will be no pop (nowhere) and therefore to know which the\n    # new exbits are two indices are needed. At time of cloning (__copy__) the\n    # indices can be updated to match the previous end, and the new end\n    # (len(exbits)\n    # Example: start 0, 0 -> islice(exbits, 0, 0) -> []\n    # One added -> copy -> updated 0, 1 -> islice(exbits, 0, 1) -> [1 elem]\n    # Other added -> copy -> updated 1, 2 -> islice(exbits, 1, 2) -> [1 elem]\n    # \"add\" and \"__copy__\" happen always in the same thread (with all current\n    # implementations) and therefore no append will happen during a copy and\n    # the len of the exbits can be queried with no concerns about another\n    # thread making an append and with no need for a lock\n\n    def __init__(self, dt=None, size=0, price=0.0, pricelimit=0.0, remsize=0,\n                 pclose=0.0, trailamount=0.0, trailpercent=0.0):\n\n        self.pclose = pclose\n        self.exbits = collections.deque()  # for historical purposes\n        self.p1, self.p2 = 0, 0  # indices to pending notifications\n\n        self.dt = dt\n        self.size = size\n        self.remsize = remsize\n        self.price = price\n        self.pricelimit = pricelimit\n        self.trailamount = trailamount\n        self.trailpercent = trailpercent\n\n        if not pricelimit:\n            # if no pricelimit is given, use the given price\n            self.pricelimit = self.price\n\n        if pricelimit and not price:\n            # price must always be set if pricelimit is set ...\n            self.price = pricelimit\n\n        self.plimit = pricelimit\n\n        self.value = 0.0\n        self.comm = 0.0\n        self.margin = None\n        self.pnl = 0.0\n\n        self.psize = 0\n        self.pprice = 0\n\n    def _getplimit(self):\n        return self._plimit\n\n    def _setplimit(self, val):\n        self._plimit = val\n\n    plimit = property(_getplimit, _setplimit)\n\n    def __len__(self):\n        return len(self.exbits)\n\n    def __getitem__(self, key):\n        return self.exbits[key]\n\n    def add(self, dt, size, price,\n            closed=0, closedvalue=0.0, closedcomm=0.0,\n            opened=0, openedvalue=0.0, openedcomm=0.0,\n            pnl=0.0,\n            psize=0, pprice=0.0):\n\n        self.addbit(\n            OrderExecutionBit(dt, size, price,\n                              closed, closedvalue, closedcomm,\n                              opened, openedvalue, openedcomm, pnl,\n                              psize, pprice))\n\n    def addbit(self, exbit):\n        # Stores an ExecutionBit and recalculates own values from ExBit\n        self.exbits.append(exbit)\n\n        self.remsize -= exbit.size\n\n        self.dt = exbit.dt\n        oldvalue = self.size * self.price\n        newvalue = exbit.size * exbit.price\n        self.size += exbit.size\n        self.price = (oldvalue + newvalue) / self.size\n        self.value += exbit.value\n        self.comm += exbit.comm\n        self.pnl += exbit.pnl\n        self.psize = exbit.psize\n        self.pprice = exbit.pprice\n\n    def getpending(self):\n        return list(self.iterpending())\n\n    def iterpending(self):\n        return itertools.islice(self.exbits, self.p1, self.p2)\n\n    def markpending(self):\n        # rebuild the indices to mark which exbits are pending in clone\n        self.p1, self.p2 = self.p2, len(self.exbits)\n\n    def clone(self):\n        self.markpending()\n        obj = copy(self)\n        return obj\n\n\nclass OrderBase(with_metaclass(MetaParams, object)):\n    params = (\n        ('owner', None), ('data', None),\n        ('size', None), ('price', None), ('pricelimit', None),\n        ('exectype', None), ('valid', None), ('tradeid', 0), ('oco', None),\n        ('trailamount', None), ('trailpercent', None),\n        ('parent', None), ('transmit', True),\n        ('simulated', False),\n        # To support historical order evaluation\n        ('histnotify', False),\n    )\n\n    DAY = datetime.timedelta()  # constant for DAY order identification\n\n    # Time Restrictions for orders\n    T_Close, T_Day, T_Date, T_None = range(4)\n\n    # Volume Restrictions for orders\n    V_None = range(1)\n\n    (Market, Close, Limit, Stop, StopLimit, StopTrail, StopTrailLimit,\n     Historical) = range(8)\n    ExecTypes = ['Market', 'Close', 'Limit', 'Stop', 'StopLimit', 'StopTrail',\n                 'StopTrailLimit', 'Historical']\n\n    OrdTypes = ['Buy', 'Sell']\n    Buy, Sell = range(2)\n\n    Created, Submitted, Accepted, Partial, Completed, \\\n        Canceled, Expired, Margin, Rejected = range(9)\n\n    Cancelled = Canceled  # alias\n\n    Status = [\n        'Created', 'Submitted', 'Accepted', 'Partial', 'Completed',\n        'Canceled', 'Expired', 'Margin', 'Rejected',\n    ]\n\n    refbasis = itertools.count(1)  # for a unique identifier per order\n\n    def _getplimit(self):\n        return self._plimit\n\n    def _setplimit(self, val):\n        self._plimit = val\n\n    plimit = property(_getplimit, _setplimit)\n\n    def __getattr__(self, name):\n        # Return attr from params if not found in order\n        return getattr(self.params, name)\n\n    def __setattribute__(self, name, value):\n        if hasattr(self.params, name):\n            setattr(self.params, name, value)\n        else:\n            super(Order, self).__setattribute__(name, value)\n\n    def __str__(self):\n        tojoin = list()\n        tojoin.append('Ref: {}'.format(self.ref))\n        tojoin.append('OrdType: {}'.format(self.ordtype))\n        tojoin.append('OrdType: {}'.format(self.ordtypename()))\n        tojoin.append('Status: {}'.format(self.status))\n        tojoin.append('Status: {}'.format(self.getstatusname()))\n        tojoin.append('Size: {}'.format(self.size))\n        tojoin.append('Price: {}'.format(self.price))\n        tojoin.append('Price Limit: {}'.format(self.pricelimit))\n        tojoin.append('TrailAmount: {}'.format(self.trailamount))\n        tojoin.append('TrailPercent: {}'.format(self.trailpercent))\n        tojoin.append('ExecType: {}'.format(self.exectype))\n        tojoin.append('ExecType: {}'.format(self.getordername()))\n        tojoin.append('CommInfo: {}'.format(self.comminfo))\n        tojoin.append('End of Session: {}'.format(self.dteos))\n        tojoin.append('Info: {}'.format(self.info))\n        tojoin.append('Broker: {}'.format(self.broker))\n        tojoin.append('Alive: {}'.format(self.alive()))\n\n        return '\\n'.join(tojoin)\n\n    def __init__(self):\n        self.ref = next(self.refbasis)\n        self.broker = None\n        self.info = AutoOrderedDict()\n        self.comminfo = None\n        self.triggered = False\n\n        self._active = self.parent is None\n        self.status = Order.Created\n\n        self.plimit = self.p.pricelimit  # alias via property\n\n        if self.exectype is None:\n            self.exectype = Order.Market\n\n        if not self.isbuy():\n            self.size = -self.size\n\n        # Set a reference price if price is not set using\n        # the close price\n        pclose = self.data.close[0] if not self.p.simulated else self.price\n        price = pclose if not self.price and not self.pricelimit else self.price\n\n        dcreated = self.data.datetime[0] if not self.p.simulated else 0.0\n        self.created = OrderData(dt=dcreated,\n                                 size=self.size,\n                                 price=price,\n                                 pricelimit=self.pricelimit,\n                                 pclose=pclose,\n                                 trailamount=self.trailamount,\n                                 trailpercent=self.trailpercent)\n\n        # Adjust price in case a trailing limit is wished\n        if self.exectype in [Order.StopTrail, Order.StopTrailLimit]:\n            self._limitoffset = self.created.price - self.created.pricelimit\n            price = self.created.price\n            self.created.price = float('inf' * self.isbuy() or '-inf')\n            self.trailadjust(price)\n        else:\n            self._limitoffset = 0.0\n\n        self.executed = OrderData(remsize=self.size)\n        self.position = 0\n\n        if isinstance(self.valid, datetime.date):\n            # comparison will later be done against the raw datetime[0] value\n            self.valid = self.data.date2num(self.valid)\n        elif isinstance(self.valid, datetime.timedelta):\n            # offset with regards to now ... get utcnow + offset\n            # when reading with date2num ... it will be automatically localized\n            if self.valid == self.DAY:\n                valid = datetime.datetime.combine(\n                    self.data.datetime.date(), datetime.time(23, 59, 59, 9999))\n            else:\n                valid = self.data.datetime.datetime() + self.valid\n\n            self.valid = self.data.date2num(valid)\n\n        elif self.valid is not None:\n            if not self.valid:  # avoid comparing None and 0\n                valid = datetime.datetime.combine(\n                    self.data.datetime.date(), datetime.time(23, 59, 59, 9999))\n            else:  # assume float\n                valid = self.data.datetime[0] + self.valid\n\n        if not self.p.simulated:\n            # provisional end-of-session\n            # get next session end\n            dtime = self.data.datetime.datetime(0)\n            session = self.data.p.sessionend\n            dteos = dtime.replace(hour=session.hour, minute=session.minute,\n                                  second=session.second,\n                                  microsecond=session.microsecond)\n\n            if dteos < dtime:\n                # eos before current time ... no ... must be at least next day\n                dteos += datetime.timedelta(days=1)\n\n            self.dteos = self.data.date2num(dteos)\n        else:\n            self.dteos = 0.0\n\n    def clone(self):\n        # status, triggered and executed are the only moving parts in order\n        # status and triggered are covered by copy\n        # executed has to be replaced with an intelligent clone of itself\n        obj = copy(self)\n        obj.executed = self.executed.clone()\n        return obj  # status could change in next to completed\n\n    def getstatusname(self, status=None):\n        '''Returns the name for a given status or the one of the order'''\n        return self.Status[self.status if status is None else status]\n\n    def getordername(self, exectype=None):\n        '''Returns the name for a given exectype or the one of the order'''\n        return self.ExecTypes[self.exectype if exectype is None else exectype]\n\n    @classmethod\n    def ExecType(cls, exectype):\n        return getattr(cls, exectype)\n\n    def ordtypename(self, ordtype=None):\n        '''Returns the name for a given ordtype or the one of the order'''\n        return self.OrdTypes[self.ordtype if ordtype is None else ordtype]\n\n    def active(self):\n        return self._active\n\n    def activate(self):\n        self._active = True\n\n    def alive(self):\n        '''Returns True if the order is in a status in which it can still be\n        executed\n        '''\n        return self.status in [Order.Created, Order.Submitted,\n                               Order.Partial, Order.Accepted]\n\n    def addcomminfo(self, comminfo):\n        '''Stores a CommInfo scheme associated with the asset'''\n        self.comminfo = comminfo\n\n    def addinfo(self, **kwargs):\n        '''Add the keys, values of kwargs to the internal info dictionary to\n        hold custom information in the order\n        '''\n        for key, val in iteritems(kwargs):\n            self.info[key] = val\n\n    def __eq__(self, other):\n        return other is not None and self.ref == other.ref\n\n    def __ne__(self, other):\n        return self.ref != other.ref\n\n    def isbuy(self):\n        '''Returns True if the order is a Buy order'''\n        return self.ordtype == self.Buy\n\n    def issell(self):\n        '''Returns True if the order is a Sell order'''\n        return self.ordtype == self.Sell\n\n    def setposition(self, position):\n        '''Receives the current position for the asset and stotres it'''\n        self.position = position\n\n    def submit(self, broker=None):\n        '''Marks an order as submitted and stores the broker to which it was\n        submitted'''\n        self.status = Order.Submitted\n        self.broker = broker\n        self.plen = len(self.data)\n\n    def accept(self, broker=None):\n        '''Marks an order as accepted'''\n        self.status = Order.Accepted\n        self.broker = broker\n\n    def brokerstatus(self):\n        '''Tries to retrieve the status from the broker in which the order is.\n\n        Defaults to last known status if no broker is associated'''\n        if self.broker:\n            return self.broker.orderstatus(self)\n\n        return self.status\n\n    def reject(self, broker=None):\n        '''Marks an order as rejected'''\n        if self.status == Order.Rejected:\n            return False\n\n        self.status = Order.Rejected\n        self.broker = broker\n        if not self.p.simulated:\n            self.executed.dt = self.data.datetime[0]\n        return True\n\n    def cancel(self):\n        '''Marks an order as cancelled'''\n        self.status = Order.Canceled\n        if not self.p.simulated:\n            self.executed.dt = self.data.datetime[0]\n\n    def margin(self):\n        '''Marks an order as having met a margin call'''\n        self.status = Order.Margin\n        if not self.p.simulated:\n            self.executed.dt = self.data.datetime[0]\n\n    def completed(self):\n        '''Marks an order as completely filled'''\n        self.status = self.Completed\n\n    def partial(self):\n        '''Marks an order as partially filled'''\n        self.status = self.Partial\n\n    def execute(self, dt, size, price,\n                closed, closedvalue, closedcomm,\n                opened, openedvalue, openedcomm,\n                margin, pnl,\n                psize, pprice):\n\n        '''Receives data execution input and stores it'''\n        if not size:\n            return\n\n        self.executed.add(dt, size, price,\n                          closed, closedvalue, closedcomm,\n                          opened, openedvalue, openedcomm,\n                          pnl, psize, pprice)\n\n        self.executed.margin = margin\n\n    def expire(self):\n        '''Marks an order as expired. Returns True if it worked'''\n        self.status = self.Expired\n        return True\n\n    def trailadjust(self, price):\n        pass  # generic interface\n\n\nclass Order(OrderBase):\n    '''\n    Class which holds creation/execution data and type of oder.\n\n    The order may have the following status:\n\n      - Submitted: sent to the broker and awaiting confirmation\n      - Accepted: accepted by the broker\n      - Partial: partially executed\n      - Completed: fully exexcuted\n      - Canceled/Cancelled: canceled by the user\n      - Expired: expired\n      - Margin: not enough cash to execute the order.\n      - Rejected: Rejected by the broker\n\n        This can happen during order submission (and therefore the order will\n        not reach the Accepted status) or before execution with each new bar\n        price because cash has been drawn by other sources (future-like\n        instruments may have reduced the cash or orders orders may have been\n        executed)\n\n    Member Attributes:\n\n      - ref: unique order identifier\n      - created: OrderData holding creation data\n      - executed: OrderData holding execution data\n\n      - info: custom information passed over method :func:`addinfo`. It is kept\n        in the form of an OrderedDict which has been subclassed, so that keys\n        can also be specified using '.' notation\n\n    User Methods:\n\n      - isbuy(): returns bool indicating if the order buys\n      - issell(): returns bool indicating if the order sells\n      - alive(): returns bool if order is in status Partial or Accepted\n    '''\n\n    def execute(self, dt, size, price,\n                closed, closedvalue, closedcomm,\n                opened, openedvalue, openedcomm,\n                margin, pnl,\n                psize, pprice):\n\n        super(Order, self).execute(dt, size, price,\n                                   closed, closedvalue, closedcomm,\n                                   opened, openedvalue, openedcomm,\n                                   margin, pnl, psize, pprice)\n\n        if self.executed.remsize:\n            self.status = Order.Partial\n        else:\n            self.status = Order.Completed\n\n        # self.comminfo = None\n\n    def expire(self):\n        if self.exectype == Order.Market:\n            return False  # will be executed yes or yes\n\n        if self.valid and self.data.datetime[0] > self.valid:\n            self.status = Order.Expired\n            self.executed.dt = self.data.datetime[0]\n            return True\n\n        return False\n\n    def trailadjust(self, price):\n        if self.trailamount:\n            pamount = self.trailamount\n        elif self.trailpercent:\n            pamount = price * self.trailpercent\n        else:\n            pamount = 0.0\n\n        # Stop sell is below (-), stop buy is above, move only if needed\n        if self.isbuy():\n            price += pamount\n            if price < self.created.price:\n                self.created.price = price\n                if self.exectype == Order.StopTrailLimit:\n                    self.created.pricelimit = price - self._limitoffset\n        else:\n            price -= pamount\n            if price > self.created.price:\n                self.created.price = price\n                if self.exectype == Order.StopTrailLimit:\n                    # limitoffset is negative when pricelimit was greater\n                    # the - allows increasing the price limit if stop increases\n                    self.created.pricelimit = price - self._limitoffset\n\n\nclass BuyOrder(Order):\n    ordtype = Order.Buy\n\n\nclass StopBuyOrder(BuyOrder):\n    pass\n\n\nclass StopLimitBuyOrder(BuyOrder):\n    pass\n\n\nclass SellOrder(Order):\n    ordtype = Order.Sell\n\n\nclass StopSellOrder(SellOrder):\n    pass\n\n\nclass StopLimitSellOrder(SellOrder):\n    pass\n"
  },
  {
    "path": "backtrader/plot/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\n\ntry:\n    import matplotlib\nexcept ImportError:\n    raise ImportError(\n        'Matplotlib seems to be missing. Needed for plotting support')\nelse:\n    touse = 'TKAgg' if sys.platform != 'darwin' else 'MacOSX'\n    try:\n        matplotlib.use(touse)\n    except:\n        # if another backend has already been loaded, an exception will be\n        # generated and this can be skipped\n        pass\n\n\nfrom .plot import Plot, Plot_OldSync\nfrom .scheme import PlotScheme\n"
  },
  {
    "path": "backtrader/plot/finance.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom ..utils.py3 import range, zip\n\nimport matplotlib.collections as mcol\nimport matplotlib.colors as mcolors\nimport matplotlib.legend as mlegend\nimport matplotlib.lines as mlines\n\nfrom .utils import shade_color\n\n\nclass CandlestickPlotHandler(object):\n    legend_opens = [0.50, 0.50, 0.50]\n    legend_highs = [1.00, 1.00, 1.00]\n    legend_lows = [0.00, 0.00, 0.00]\n    legend_closes = [0.80, 0.00, 1.00]\n\n    def __init__(self,\n                 ax, x, opens, highs, lows, closes,\n                 colorup='k', colordown='r',\n                 edgeup=None, edgedown=None,\n                 tickup=None, tickdown=None,\n                 width=1, tickwidth=1,\n                 edgeadjust=0.05, edgeshading=-10,\n                 alpha=1.0,\n                 label='_nolegend',\n                 fillup=True,\n                 filldown=True,\n                 **kwargs):\n\n        # Manager up/down bar colors\n        r, g, b = mcolors.colorConverter.to_rgb(colorup)\n        self.colorup = r, g, b, alpha\n        r, g, b = mcolors.colorConverter.to_rgb(colordown)\n        self.colordown = r, g, b, alpha\n        # Manage the edge up/down colors for the bars\n        if edgeup:\n            r, g, b = mcolors.colorConverter.to_rgb(edgeup)\n            self.edgeup = ((r, g, b, alpha),)\n        else:\n            self.edgeup = shade_color(self.colorup, edgeshading)\n\n        if edgedown:\n            r, g, b = mcolors.colorConverter.to_rgb(edgedown)\n            self.edgedown = ((r, g, b, alpha),)\n        else:\n            self.edgedown = shade_color(self.colordown, edgeshading)\n\n            # Manage the up/down tick colors\n        if tickup:\n            r, g, b = mcolors.colorConverter.to_rgb(tickup)\n            self.tickup = ((r, g, b, alpha),)\n        else:\n            self.tickup = self.edgeup\n\n        if tickdown:\n            r, g, b = mcolors.colorConverter.to_rgb(tickdown)\n            self.tickdown = ((r, g, b, alpha),)\n        else:\n            self.tickdown = self.edgedown\n\n        self.barcol, self.tickcol = self.barcollection(\n            x, opens, highs, lows, closes,\n            width, tickwidth, edgeadjust,\n            label=label,\n            fillup=fillup, filldown=filldown,\n            **kwargs)\n\n        # add collections to the axis and return them\n        ax.add_collection(self.tickcol)\n        ax.add_collection(self.barcol)\n\n        # Update the axis\n        ax.update_datalim(((0, min(lows)), (len(opens), max(highs))))\n        ax.autoscale_view()\n\n        # Add self as legend handler for this object\n        mlegend.Legend.update_default_handler_map({self.barcol: self})\n\n    def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n        x0 = handlebox.xdescent\n        y0 = handlebox.ydescent\n        width = handlebox.width / len(self.legend_opens)\n        height = handlebox.height\n\n        # Generate the x axis coordinates (handlebox based)\n        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_opens))]\n\n        barcol, tickcol = self.barcollection(\n            xs,\n            self.legend_opens, self.legend_highs,\n            self.legend_lows, self.legend_closes,\n            width=width, tickwidth=2,\n            scaling=height, bot=y0)\n\n        barcol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(barcol)\n        tickcol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(tickcol)\n\n        return barcol, tickcol\n\n    def barcollection(self,\n                      xs,\n                      opens, highs, lows, closes,\n                      width, tickwidth=1, edgeadjust=0,\n                      label='_nolegend',\n                      scaling=1.0, bot=0,\n                      fillup=True, filldown=True,\n                      **kwargs):\n\n        # Prepack different zips of the series values\n        oc = lambda: zip(opens, closes)  # NOQA: E731\n        xoc = lambda: zip(xs, opens, closes)  # NOQA: E731\n        iohlc = lambda: zip(xs, opens, highs, lows, closes)  # NOQA: E731\n\n        colorup = self.colorup if fillup else 'None'\n        colordown = self.colordown if filldown else 'None'\n        colord = {True: colorup, False: colordown}\n        colors = [colord[o < c] for o, c in oc()]\n\n        edgecolord = {True: self.edgeup, False: self.edgedown}\n        edgecolors = [edgecolord[o < c] for o, c in oc()]\n\n        tickcolord = {True: self.tickup, False: self.tickdown}\n        tickcolors = [tickcolord[o < c] for o, c in oc()]\n\n        delta = width / 2 - edgeadjust\n\n        def barbox(i, open, close):\n            # delta seen as closure\n            left, right = i - delta, i + delta\n            open = open * scaling + bot\n            close = close * scaling + bot\n            return (left, open), (left, close), (right, close), (right, open)\n\n        barareas = [barbox(i, o, c) for i, o, c in xoc()]\n\n        def tup(i, open, high, close):\n            high = high * scaling + bot\n            open = open * scaling + bot\n            close = close * scaling + bot\n\n            return (i, high), (i, max(open, close))\n\n        tickrangesup = [tup(i, o, h, c) for i, o, h, l, c in iohlc()]\n\n        def tdown(i, open, low, close):\n            low = low * scaling + bot\n            open = open * scaling + bot\n            close = close * scaling + bot\n\n            return (i, low), (i, min(open, close))\n\n        tickrangesdown = [tdown(i, o, l, c) for i, o, h, l, c in iohlc()]\n\n        # Extra variables for the collections\n        useaa = 0,  # use tuple here\n        lw = 0.5,   # and here\n        tlw = tickwidth,\n\n        # Bar collection for the candles\n        barcol = mcol.PolyCollection(\n            barareas,\n            facecolors=colors,\n            edgecolors=edgecolors,\n            antialiaseds=useaa,\n            linewidths=lw,\n            label=label,\n            **kwargs)\n\n        # LineCollections have a higher zorder than PolyCollections\n        # to ensure the edges of the bars are not overwriten by the Lines\n        # we need to put the bars slightly over the LineCollections\n        kwargs['zorder'] = barcol.get_zorder() * 0.9999\n\n        # Up/down ticks from the body\n        tickcol = mcol.LineCollection(\n            tickrangesup + tickrangesdown,\n            colors=tickcolors,\n            linewidths=tlw,\n            antialiaseds=useaa,\n            **kwargs)\n\n        # return barcol, tickcol\n        return barcol, tickcol\n\n\ndef plot_candlestick(ax,\n                     x, opens, highs, lows, closes,\n                     colorup='k', colordown='r',\n                     edgeup=None, edgedown=None,\n                     tickup=None, tickdown=None,\n                     width=1, tickwidth=1.25,\n                     edgeadjust=0.05, edgeshading=-10,\n                     alpha=1.0,\n                     label='_nolegend',\n                     fillup=True,\n                     filldown=True,\n                     **kwargs):\n\n    chandler = CandlestickPlotHandler(\n        ax, x, opens, highs, lows, closes,\n        colorup, colordown,\n        edgeup, edgedown,\n        tickup, tickdown,\n        width, tickwidth,\n        edgeadjust, edgeshading,\n        alpha,\n        label,\n        fillup,\n        filldown,\n        **kwargs)\n\n    # Return the collections. the barcol goes first because\n    # is the larger,  has the dominant zorder and defines the legend\n    return chandler.barcol, chandler.tickcol\n\n\nclass VolumePlotHandler(object):\n    legend_vols = [0.5, 1.0, 0.75]\n    legend_opens = [0, 1, 0]\n    legend_closes = [1, 0, 1]\n\n    def __init__(self,\n                 ax, x, opens, closes, volumes,\n                 colorup='k', colordown='r',\n                 edgeup=None, edgedown=None,\n                 edgeshading=-5, edgeadjust=0.05,\n                 width=1, alpha=1.0,\n                 **kwargs):\n\n        # Manage the up/down colors\n        r, g, b = mcolors.colorConverter.to_rgb(colorup)\n        self.colorup = r, g, b, alpha\n        r, g, b = mcolors.colorConverter.to_rgb(colordown)\n        self.colordown = r, g, b, alpha\n\n        # Prepare the edge colors\n        if not edgeup:\n            self.edgeup = shade_color(self.colorup, edgeshading)\n        else:\n            r, g, b = mcolors.colorConverter.to_rgb(edgeup)\n            self.edgeup = r, g, b, alpha\n\n        if not edgedown:\n            self.edgedown = shade_color(self.colordown, edgeshading)\n        else:\n            r, g, b = mcolors.colorConverter.to_rgb(edgedown)\n            self.edgedown = r, g, b, alpha\n\n        corners = (0, 0), (len(closes), max(volumes))\n        ax.update_datalim(corners)\n        ax.autoscale_view()\n\n        self.barcol = self.barcollection(\n            x, opens, closes, volumes,\n            width=width, edgeadjust=edgeadjust,\n            **kwargs)\n\n        # add to axes\n        ax.add_collection(self.barcol)\n\n        # Add a legend handler for this object\n        mlegend.Legend.update_default_handler_map({self.barcol: self})\n\n    def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n        x0 = handlebox.xdescent\n        y0 = handlebox.ydescent\n        width = handlebox.width / len(self.legend_vols)\n        height = handlebox.height\n\n        # Generate the x axis coordinates (handlebox based)\n        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_vols))]\n\n        barcol = self.barcollection(\n            xs, self.legend_opens, self.legend_closes, self.legend_vols,\n            width=width, vscaling=height, vbot=y0)\n\n        barcol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(barcol)\n\n        return barcol\n\n    def barcollection(self,\n                      x, opens, closes, vols,\n                      width, edgeadjust=0,\n                      vscaling=1.0, vbot=0,\n                      **kwargs):\n\n        # Prepare the data\n        openclose = lambda: zip(opens, closes)  # NOQA: E731\n\n        # Calculate bars colors\n        colord = {True: self.colorup, False: self.colordown}\n        colors = [colord[open < close] for open, close in openclose()]\n        edgecolord = {True: self.edgeup, False: self.edgedown}\n        edgecolors = [edgecolord[open < close] for open, close in openclose()]\n\n        # bar width to the sides\n        delta = width / 2 - edgeadjust\n\n        # small auxiliary func to return the bar coordinates\n        def volbar(i, v):\n            left, right = i - delta, i + delta\n            v = vbot + v * vscaling\n            return (left, vbot), (left, v), (right, v), (right, vbot)\n\n        barareas = [volbar(i, v) for i, v in zip(x, vols)]\n        barcol = mcol.PolyCollection(\n            barareas,\n            facecolors=colors,\n            edgecolors=edgecolors,\n            antialiaseds=(0,),\n            linewidths=(0.5,),\n            **kwargs)\n\n        return barcol\n\n\ndef plot_volume(\n        ax, x, opens, closes, volumes,\n        colorup='k', colordown='r',\n        edgeup=None, edgedown=None,\n        edgeshading=-5, edgeadjust=0.05,\n        width=1, alpha=1.0,\n        **kwargs):\n\n    vhandler = VolumePlotHandler(\n        ax, x, opens, closes, volumes,\n        colorup, colordown,\n        edgeup, edgedown,\n        edgeshading, edgeadjust,\n        width, alpha,\n        **kwargs)\n\n    return vhandler.barcol,\n\n\nclass OHLCPlotHandler(object):\n    legend_opens = [0.50, 0.50, 0.50]\n    legend_highs = [1.00, 1.00, 1.00]\n    legend_lows = [0.00, 0.00, 0.00]\n    legend_closes = [0.80, 0.20, 0.90]\n\n    def __init__(self,\n                 ax, x, opens, highs, lows, closes,\n                 colorup='k', colordown='r',\n                 width=1, tickwidth=0.5,\n                 alpha=1.0,\n                 label='_nolegend',\n                 **kwargs):\n\n        # Manager up/down bar colors\n        r, g, b = mcolors.colorConverter.to_rgb(colorup)\n        self.colorup = r, g, b, alpha\n        r, g, b = mcolors.colorConverter.to_rgb(colordown)\n        self.colordown = r, g, b, alpha\n\n        bcol, ocol, ccol = self.barcollection(\n            x, opens, highs, lows, closes,\n            width=width, tickwidth=tickwidth,\n            label=label,\n            **kwargs)\n\n        self.barcol = bcol\n        self.opencol = ocol\n        self.closecol = ccol\n\n        # add collections to the axis and return them\n        ax.add_collection(self.barcol)\n        ax.add_collection(self.opencol)\n        ax.add_collection(self.closecol)\n\n        # Update the axis\n        ax.update_datalim(((0, min(lows)), (len(opens), max(highs))))\n        ax.autoscale_view()\n\n        # Add self as legend handler for this object\n        mlegend.Legend.update_default_handler_map({self.barcol: self})\n\n    def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n        x0 = handlebox.xdescent\n        y0 = handlebox.ydescent\n        width = handlebox.width / len(self.legend_opens)\n        height = handlebox.height\n\n        # Generate the x axis coordinates (handlebox based)\n        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_opens))]\n\n        barcol, opencol, closecol = self.barcollection(\n            xs,\n            self.legend_opens, self.legend_highs,\n            self.legend_lows, self.legend_closes,\n            width=1.5, tickwidth=2,\n            scaling=height, bot=y0)\n\n        barcol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(barcol)\n        # opencol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(opencol)\n        # closecol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(closecol)\n\n        return barcol, opencol, closecol\n\n    def barcollection(self,\n                      xs,\n                      opens, highs, lows, closes,\n                      width, tickwidth,\n                      label='_nolegend',\n                      scaling=1.0, bot=0,\n                      **kwargs):\n\n        # Prepack different zips of the series values\n        ihighlow = lambda: zip(xs, highs, lows)  # NOQA: E731\n        iopen = lambda: zip(xs, opens)  # NOQA: E731\n        iclose = lambda: zip(xs, closes)  # NOQA: E731\n        openclose = lambda: zip(opens, closes)  # NOQA: E731\n\n        colord = {True: self.colorup, False: self.colordown}\n        colors = [colord[open < close] for open, close in openclose()]\n\n        # Extra variables for the collections\n        useaa = 0,\n        lw = width,\n        tlw = tickwidth,\n\n        # Calculate the barranges\n        def barrange(i, high, low):\n            return (i, low * scaling + bot), (i, high * scaling + bot)\n\n        barranges = [barrange(i, high, low) for i, high, low in ihighlow()]\n\n        barcol = mcol.LineCollection(\n            barranges,\n            colors=colors,\n            linewidths=lw,\n            antialiaseds=useaa,\n            label=label,\n            **kwargs)\n\n        def tickopen(i, open):\n            open = open * scaling + bot\n            return (i - tickwidth, open), (i, open)\n\n        openticks = [tickopen(i, open) for i, open in iopen()]\n        opencol = mcol.LineCollection(\n            openticks,\n            colors=colors,\n            antialiaseds=useaa,\n            linewidths=tlw,\n            label='_nolegend',\n            **kwargs)\n\n        def tickclose(i, close):\n            close = close * scaling + bot\n            return (i, close), (i + tickwidth, close)\n\n        closeticks = [tickclose(i, close) for i, close in iclose()]\n        closecol = mcol.LineCollection(\n            closeticks,\n            colors=colors,\n            antialiaseds=useaa,\n            linewidths=tlw,\n            label='_nolegend',\n            **kwargs)\n\n        # return barcol, tickcol\n        return barcol, opencol, closecol\n\n\ndef plot_ohlc(ax, x, opens, highs, lows, closes,\n              colorup='k', colordown='r',\n              width=1.5, tickwidth=0.5,\n              alpha=1.0,\n              label='_nolegend',\n              **kwargs):\n\n    handler = OHLCPlotHandler(\n        ax, x, opens, highs, lows, closes,\n        colorup, colordown,\n        width, tickwidth,\n        alpha,\n        label,\n        **kwargs)\n\n    return handler.barcol, handler.opencol, handler.closecol\n\n\nclass LineOnClosePlotHandler(object):\n    legend_closes = [0.00, 0.66, 0.33, 1.00]\n\n    def __init__(self,\n                 ax, x, closes, color='k',\n                 width=1, alpha=1.0,\n                 label='_nolegend',\n                 **kwargs):\n\n        self.color = color\n        self.alpha = alpha\n\n        self.loc, = self.barcollection(\n            x, closes,\n            width=width,\n            label=label,\n            **kwargs)\n\n        # add collections to the axis and return them\n        ax.add_line(self.loc)\n\n        # Update the axis\n        ax.update_datalim(((x[0], min(closes)), (x[-1], max(closes))))\n        ax.autoscale_view()\n\n        # Add self as legend handler for this object\n        mlegend.Legend.update_default_handler_map({self.loc: self})\n\n    def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n        x0 = handlebox.xdescent\n        y0 = handlebox.ydescent\n        width = handlebox.width / len(self.legend_closes)\n        height = handlebox.height\n\n        # Generate the x axis coordinates (handlebox based)\n        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_closes))]\n\n        linecol, = self.barcollection(\n            xs, self.legend_closes,\n            width=1.5,\n            scaling=height, bot=y0)\n\n        linecol.set_transform(handlebox.get_transform())\n        handlebox.add_artist(linecol)\n\n        return linecol,\n\n    def barcollection(self,\n                      xs, closes,\n                      width,\n                      label='_nolegend',\n                      scaling=1.0, bot=0,\n                      **kwargs):\n\n        # Prepack different zips of the series values\n        scaled = [close * scaling + bot for close in closes]\n\n        loc = mlines.Line2D(\n            xs, scaled,\n            color=self.color,\n            lw=width,\n            label=label,\n            alpha=self.alpha,\n            **kwargs)\n\n        return loc,\n\n\ndef plot_lineonclose(ax, x, closes,\n                     color='k',\n                     width=1.5,\n                     alpha=1.0,\n                     label='_nolegend',\n                     **kwargs):\n\n    handler = LineOnClosePlotHandler(\n        ax, x, closes,\n        color=color, width=width,\n        alpha=alpha, label=label,\n        **kwargs)\n\n    return handler.loc,\n"
  },
  {
    "path": "backtrader/plot/formatters.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport matplotlib.dates as mdates\nimport matplotlib.ticker as mplticker\n\nfrom ..utils import num2date\n\n\nclass MyVolFormatter(mplticker.Formatter):\n    Suffixes = ['', 'K', 'M', 'G', 'T', 'P']\n\n    def __init__(self, volmax):\n        self.volmax = volmax\n        magnitude = 0\n        self.divisor = 1.0\n        while abs(volmax / self.divisor) >= 1000:\n            magnitude += 1\n            self.divisor *= 1000.0\n\n        self.suffix = self.Suffixes[magnitude]\n\n    def __call__(self, y, pos=0):\n        '''Return the label for time x at position pos'''\n\n        if y > self.volmax * 1.20:\n            return ''\n\n        y = int(y / self.divisor)\n        return '%d%s' % (y, self.suffix)\n\n\nclass MyDateFormatter(mplticker.Formatter):\n    def __init__(self, dates, fmt='%Y-%m-%d'):\n        self.dates = dates\n        self.lendates = len(dates)\n        self.fmt = fmt\n\n    def __call__(self, x, pos=0):\n        '''Return the label for time x at position pos'''\n        ind = int(round(x))\n        if ind >= self.lendates:\n            ind = self.lendates - 1\n\n        if ind < 0:\n            ind = 0\n\n        return num2date(self.dates[ind]).strftime(self.fmt)\n\n\ndef patch_locator(locator, xdates):\n    def _patched_datalim_to_dt(self):\n        dmin, dmax = self.axis.get_data_interval()\n\n        # proxy access to xdates\n        dmin, dmax = xdates[int(dmin)], xdates[min(int(dmax), len(xdates) - 1)]\n\n        a, b = num2date(dmin, self.tz), num2date(dmax, self.tz)\n        return a, b\n\n    def _patched_viewlim_to_dt(self):\n        vmin, vmax = self.axis.get_view_interval()\n\n        # proxy access to xdates\n        vmin, vmax = xdates[int(vmin)], xdates[min(int(vmax), len(xdates) - 1)]\n        a, b = num2date(vmin, self.tz), num2date(vmax, self.tz)\n        return a, b\n\n    # patch the instance with a bound method\n    bound_datalim = _patched_datalim_to_dt.__get__(locator, locator.__class__)\n    locator.datalim_to_dt = bound_datalim\n\n    # patch the instance with a bound method\n    bound_viewlim = _patched_viewlim_to_dt.__get__(locator, locator.__class__)\n    locator.viewlim_to_dt = bound_viewlim\n\n\ndef patch_formatter(formatter, xdates):\n    def newcall(self, x, pos=0):\n        if False and x < 0:\n            raise ValueError('DateFormatter found a value of x=0, which is '\n                             'an illegal date.  This usually occurs because '\n                             'you have not informed the axis that it is '\n                             'plotting dates, e.g., with ax.xaxis_date()')\n\n        x = xdates[int(x)]\n        dt = num2date(x, self.tz)\n        return self.strftime(dt, self.fmt)\n\n    bound_call = newcall.__get__(formatter, formatter.__class__)\n    formatter.__call__ = bound_call\n\n\ndef getlocator(xdates, numticks=5, tz=None):\n    span = xdates[-1] - xdates[0]\n\n    locator, formatter = mdates.date_ticker_factory(\n        span=span,\n        tz=tz,\n        numticks=numticks)\n\n    patch_locator(locator, xdates)\n    patch_formatter(formatter, xdates)\n    return locator, formatter\n"
  },
  {
    "path": "backtrader/plot/locator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n'''\nRedefine/Override matplotlib locators to make them work with index base x axis\nwhich can be converted from/to dates\n'''\n\nimport datetime\nimport warnings\n\nfrom matplotlib.dates import AutoDateLocator as ADLocator\nfrom matplotlib.dates import RRuleLocator as RRLocator\nfrom matplotlib.dates import AutoDateFormatter as ADFormatter\n\nfrom matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,\n                              MONTHS_PER_YEAR, DAYS_PER_WEEK,\n                              SEC_PER_HOUR, SEC_PER_DAY,\n                              num2date, rrulewrapper, YearLocator,\n                              MicrosecondLocator)\n\nfrom dateutil.relativedelta import relativedelta\nimport numpy as np\n\n\ndef _idx2dt(idx, dates, tz):\n    if isinstance(idx, datetime.date):\n        return idx\n\n    ldates = len(dates)\n\n    idx = int(round(idx))\n    if idx >= ldates:\n        idx = ldates - 1\n    if idx < 0:\n        idx = 0\n\n    return num2date(dates[idx], tz)\n\n\nclass RRuleLocator(RRLocator):\n\n    def __init__(self, dates, o, tz=None):\n        self._dates = dates\n        super(RRuleLocator, self).__init__(o, tz)\n\n    def datalim_to_dt(self):\n        \"\"\"\n        Convert axis data interval to datetime objects.\n        \"\"\"\n        dmin, dmax = self.axis.get_data_interval()\n        if dmin > dmax:\n            dmin, dmax = dmax, dmin\n\n        return (_idx2dt(dmin, self._dates, self.tz),\n                _idx2dt(dmax, self._dates, self.tz))\n\n    def viewlim_to_dt(self):\n        \"\"\"\n        Converts the view interval to datetime objects.\n        \"\"\"\n        vmin, vmax = self.axis.get_view_interval()\n        if vmin > vmax:\n            vmin, vmax = vmax, vmin\n\n        return (_idx2dt(vmin, self._dates, self.tz),\n                _idx2dt(vmax, self._dates, self.tz))\n\n    def tick_values(self, vmin, vmax):\n        import bisect\n        dtnums = super(RRuleLocator, self).tick_values(vmin, vmax)\n        return [bisect.bisect_left(self._dates, x) for x in dtnums]\n\n\nclass AutoDateLocator(ADLocator):\n\n    def __init__(self, dates, *args, **kwargs):\n        self._dates = dates\n        super(AutoDateLocator, self).__init__(*args, **kwargs)\n\n    def datalim_to_dt(self):\n        \"\"\"\n        Convert axis data interval to datetime objects.\n        \"\"\"\n        dmin, dmax = self.axis.get_data_interval()\n        if dmin > dmax:\n            dmin, dmax = dmax, dmin\n\n        return (_idx2dt(dmin, self._dates, self.tz),\n                _idx2dt(dmax, self._dates, self.tz))\n\n    def viewlim_to_dt(self):\n        \"\"\"\n        Converts the view interval to datetime objects.\n        \"\"\"\n        vmin, vmax = self.axis.get_view_interval()\n        if vmin > vmax:\n            vmin, vmax = vmax, vmin\n\n        return (_idx2dt(vmin, self._dates, self.tz),\n                _idx2dt(vmax, self._dates, self.tz))\n\n    def tick_values(self, vmin, vmax):\n        import bisect\n        dtnums = super(AutoDateLocator, self).tick_values(vmin, vmax)\n        return [bisect.bisect_left(self._dates, x) for x in dtnums]\n\n    def get_locator(self, dmin, dmax):\n        'Pick the best locator based on a distance.'\n        delta = relativedelta(dmax, dmin)\n        tdelta = dmax - dmin\n\n        # take absolute difference\n        if dmin > dmax:\n            delta = -delta\n            tdelta = -tdelta\n\n        # The following uses a mix of calls to relativedelta and timedelta\n        # methods because there is incomplete overlap in the functionality of\n        # these similar functions, and it's best to avoid doing our own math\n        # whenever possible.\n        numYears = float(delta.years)\n        numMonths = (numYears * MONTHS_PER_YEAR) + delta.months\n        numDays = tdelta.days   # Avoids estimates of days/month, days/year\n        numHours = (numDays * HOURS_PER_DAY) + delta.hours\n        numMinutes = (numHours * MIN_PER_HOUR) + delta.minutes\n        numSeconds = np.floor(tdelta.total_seconds())\n        numMicroseconds = np.floor(tdelta.total_seconds() * 1e6)\n\n        nums = [numYears, numMonths, numDays, numHours, numMinutes,\n                numSeconds, numMicroseconds]\n\n        use_rrule_locator = [True] * 6 + [False]\n\n        # Default setting of bymonth, etc. to pass to rrule\n        # [unused (for year), bymonth, bymonthday, byhour, byminute,\n        #  bysecond, unused (for microseconds)]\n        byranges = [None, 1, 1, 0, 0, 0, None]\n\n        usemicro = False  # use as flag to avoid raising an exception\n\n        # Loop over all the frequencies and try to find one that gives at\n        # least a minticks tick positions.  Once this is found, look for\n        # an interval from an list specific to that frequency that gives no\n        # more than maxticks tick positions. Also, set up some ranges\n        # (bymonth, etc.) as appropriate to be passed to rrulewrapper.\n        for i, (freq, num) in enumerate(zip(self._freqs, nums)):\n            # If this particular frequency doesn't give enough ticks, continue\n            if num < self.minticks:\n                # Since we're not using this particular frequency, set\n                # the corresponding by_ to None so the rrule can act as\n                # appropriate\n                byranges[i] = None\n                continue\n\n            # Find the first available interval that doesn't give too many\n            # ticks\n            for interval in self.intervald[freq]:\n                if num <= interval * (self.maxticks[freq] - 1):\n                    break\n            else:\n                # We went through the whole loop without breaking, default to\n                # the last interval in the list and raise a warning\n                warnings.warn('AutoDateLocator was unable to pick an '\n                              'appropriate interval for this date range. '\n                              'It may be necessary to add an interval value '\n                              \"to the AutoDateLocator's intervald dictionary.\"\n                              ' Defaulting to {0}.'.format(interval))\n\n            # Set some parameters as appropriate\n            self._freq = freq\n\n            if self._byranges[i] and self.interval_multiples:\n                byranges[i] = self._byranges[i][::interval]\n                interval = 1\n            else:\n                byranges[i] = self._byranges[i]\n\n            # We found what frequency to use\n            break\n        else:\n            if False:\n                raise ValueError(\n                    'No sensible date limit could be found in the '\n                    'AutoDateLocator.')\n            else:\n                usemicro = True\n\n        if not usemicro and use_rrule_locator[i]:\n            _, bymonth, bymonthday, byhour, byminute, bysecond, _ = byranges\n\n            rrule = rrulewrapper(self._freq, interval=interval,\n                                 dtstart=dmin, until=dmax,\n                                 bymonth=bymonth, bymonthday=bymonthday,\n                                 byhour=byhour, byminute=byminute,\n                                 bysecond=bysecond)\n\n            locator = RRuleLocator(self._dates, rrule, self.tz)\n        else:\n            if usemicro:\n                interval = 1  # not set because the for else: was met\n            locator = MicrosecondLocator(interval, tz=self.tz)\n\n        locator.set_axis(self.axis)\n\n        try:\n            # try for matplotlib < 3.6.0\n            locator.set_view_interval(*self.axis.get_view_interval())\n            locator.set_data_interval(*self.axis.get_data_interval())\n        except Exception as e:\n            try:\n                # try for matplotlib >= 3.6.0\n                self.axis.set_view_interval(*self.axis.get_view_interval())\n                self.axis.set_data_interval(*self.axis.get_data_interval())\n                locator.set_axis(self.axis)\n            except Exception as e:\n                print(\"Error:\", e)\n\n        return locator\n\n\nclass AutoDateFormatter(ADFormatter):\n    def __init__(self, dates, locator, tz=None, defaultfmt='%Y-%m-%d'):\n        self._dates = dates\n        super(AutoDateFormatter, self).__init__(locator, tz, defaultfmt)\n\n    def __call__(self, x, pos=None):\n        '''Return the label for time x at position pos'''\n        x = int(round(x))\n        ldates = len(self._dates)\n        if x >= ldates:\n            x = ldates - 1\n\n        if x < 0:\n            x = 0\n\n        ix = self._dates[x]\n\n        return super(AutoDateFormatter, self).__call__(ix, pos)\n"
  },
  {
    "path": "backtrader/plot/multicursor.py",
    "content": "# LICENSE AGREEMENT FOR MATPLOTLIB 1.2.0\n# --------------------------------------\n#\n# 1. This LICENSE AGREEMENT is between John D. Hunter (\"JDH\"), and the\n# Individual or Organization (\"Licensee\") accessing and otherwise using\n# matplotlib software in source or binary form and its associated\n# documentation.\n#\n# 2. Subject to the terms and conditions of this License Agreement, JDH\n# hereby grants Licensee a nonexclusive, royalty-free, world-wide license\n# to reproduce, analyze, test, perform and/or display publicly, prepare\n# derivative works, distribute, and otherwise use matplotlib 1.2.0\n# alone or in any derivative version, provided, however, that JDH's\n# License Agreement and JDH's notice of copyright, i.e., \"Copyright (c)\n# 2002-2011 John D. Hunter; All Rights Reserved\" are retained in\n# matplotlib 1.2.0 alone or in any derivative version prepared by\n# Licensee.\n#\n# 3. In the event Licensee prepares a derivative work that is based on or\n# incorporates matplotlib 1.2.0 or any part thereof, and wants to\n# make the derivative work available to others as provided herein, then\n# Licensee hereby agrees to include in any such work a brief summary of\n# the changes made to matplotlib 1.2.0.\n#\n# 4. JDH is making matplotlib 1.2.0 available to Licensee on an \"AS\n# IS\" basis.  JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR\n# IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND\n# DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS\n# FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB 1.2.0\n# WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.\n#\n# 5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB\n# 1.2.0 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR\n# LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING\n# MATPLOTLIB 1.2.0, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF\n# THE POSSIBILITY THEREOF.\n\n# 6. This License Agreement will automatically terminate upon a material\n# breach of its terms and conditions.\n#\n# 7. Nothing in this License Agreement shall be deemed to create any\n# relationship of agency, partnership, or joint venture between JDH and\n# Licensee.  This License Agreement does not grant permission to use JDH\n# trademarks or trade name in a trademark sense to endorse or promote\n# products or services of Licensee, or any third party.\n#\n# 8. By copying, installing or otherwise using matplotlib 1.2.0,\n# Licensee agrees to be bound by the terms and conditions of this License\n# Agreement.\n\n# CHANGES\n# The original MultiCursor plots all horizontal lines at the same time\n# The modified version plots only the horizontal line in the axis in which the\n# motion event takes place\n#\n# The original MultiCursos uses the ylimit of the las passed axis, to calculate\n# the mid point of the axis. which creates a huge distorsion if all axis don't\n# have the same y dimensions\n#\n# The modified version uses the y limits of each axis to calculate the initial\n# position of each line avoiding the distorsion\n\nfrom ..utils.py3 import zip\n\nclass Widget(object):\n    \"\"\"\n    Abstract base class for GUI neutral widgets\n    \"\"\"\n    drawon = True\n    eventson = True\n    _active = True\n\n    def set_active(self, active):\n        \"\"\"Set whether the widget is active.\n        \"\"\"\n        self._active = active\n\n    def get_active(self):\n        \"\"\"Get whether the widget is active.\n        \"\"\"\n        return self._active\n\n    # set_active is overriden by SelectorWidgets.\n    active = property(get_active, lambda self, active: self.set_active(active),\n                      doc=\"Is the widget active?\")\n\n    def ignore(self, event):\n        \"\"\"Return True if event should be ignored.\n        This method (or a version of it) should be called at the beginning\n        of any event callback.\n        \"\"\"\n        return not self.active\n\n\nclass MultiCursor(Widget):\n    \"\"\"\n    Provide a vertical (default) and/or horizontal line cursor shared between\n    multiple axes.\n\n    For the cursor to remain responsive you much keep a reference to\n    it.\n\n    Example usage::\n\n        from matplotlib.widgets import MultiCursor\n        from pylab import figure, show, np\n\n        t = np.arange(0.0, 2.0, 0.01)\n        s1 = np.sin(2*np.pi*t)\n        s2 = np.sin(4*np.pi*t)\n        fig = figure()\n        ax1 = fig.add_subplot(211)\n        ax1.plot(t, s1)\n\n\n        ax2 = fig.add_subplot(212, sharex=ax1)\n        ax2.plot(t, s2)\n\n        multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,\n                            horizOn=False, vertOn=True)\n        show()\n\n    \"\"\"\n    def __init__(self, canvas, axes, useblit=True,\n                 horizOn=False, vertOn=True,\n                 horizMulti=False, vertMulti=True,\n                 horizShared=True, vertShared=False,\n                 **lineprops):\n\n        self.canvas = canvas\n        self.axes = axes\n        self.horizOn = horizOn\n        self.vertOn = vertOn\n        self.horizMulti = horizMulti\n        self.vertMulti = vertMulti\n\n        self.visible = True\n        self.useblit = useblit and self.canvas.supports_blit\n        self.background = None\n        self.needclear = False\n\n        if self.useblit:\n            lineprops['animated'] = True\n\n        self.vlines = []\n        if vertOn:\n            xmin, xmax = axes[-1].get_xlim()\n            xmid = 0.5 * (xmin + xmax)\n\n            for ax in axes:\n                if not horizShared:\n                    xmin, xmax = ax.get_xlim()\n                    xmid = 0.5 * (xmin + xmax)\n\n                vline = ax.axvline(xmid, visible=False, **lineprops)\n                self.vlines.append(vline)\n\n        self.hlines = []\n        if horizOn:\n            ymin, ymax = axes[-1].get_ylim()\n            ymid = 0.5 * (ymin + ymax)\n\n            for ax in axes:\n                if not vertShared:\n                    ymin, ymax = ax.get_ylim()\n                    ymid = 0.5 * (ymin + ymax)\n\n                hline = ax.axhline(ymid, visible=False, **lineprops)\n                self.hlines.append(hline)\n\n        self.connect()\n\n    def connect(self):\n        \"\"\"connect events\"\"\"\n        self._cidmotion = self.canvas.mpl_connect('motion_notify_event',\n                                                  self.onmove)\n        self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear)\n\n    def disconnect(self):\n        \"\"\"disconnect events\"\"\"\n        self.canvas.mpl_disconnect(self._cidmotion)\n        self.canvas.mpl_disconnect(self._ciddraw)\n\n    def clear(self, event):\n        \"\"\"clear the cursor\"\"\"\n        if self.ignore(event):\n            return\n        if self.useblit:\n            self.background = (\n                self.canvas.copy_from_bbox(self.canvas.figure.bbox))\n        for line in self.vlines + self.hlines:\n            line.set_visible(False)\n\n    def onmove(self, event):\n        if self.ignore(event):\n            return\n        if event.inaxes is None:\n            return\n        if not self.canvas.widgetlock.available(self):\n            return\n        self.needclear = True\n        if not self.visible:\n            return\n        if self.vertOn:\n            for line in self.vlines:\n                visible = self.visible\n                if not self.vertMulti:\n                    visible = visible and line.axes == event.inaxes\n\n                if visible:\n                    line.set_xdata((event.xdata, event.xdata))\n                    line.set_visible(visible)\n        if self.horizOn:\n            for line in self.hlines:\n                visible = self.visible\n                if not self.horizMulti:\n                    visible = visible and line.axes == event.inaxes\n                if visible:\n                    line.set_ydata((event.ydata, event.ydata))\n                    line.set_visible(self.visible)\n        self._update(event)\n\n    def _update(self, event):\n        if self.useblit:\n            if self.background is not None:\n                self.canvas.restore_region(self.background)\n            if self.vertOn:\n                for ax, line in zip(self.axes, self.vlines):\n                    if self.vertMulti or event.inaxes == line.axes:\n                        ax.draw_artist(line)\n\n            if self.horizOn:\n                for ax, line in zip(self.axes, self.hlines):\n                    if self.horizMulti or event.inaxes == line.axes:\n                        ax.draw_artist(line)\n            self.canvas.blit(self.canvas.figure.bbox)\n        else:\n            self.canvas.draw_idle()\n\nclass MultiCursor2(Widget):\n    \"\"\"\n    Provide a vertical (default) and/or horizontal line cursor shared between\n    multiple axes.\n    For the cursor to remain responsive you much keep a reference to\n    it.\n    Example usage::\n        from matplotlib.widgets import MultiCursor\n        from pylab import figure, show, np\n        t = np.arange(0.0, 2.0, 0.01)\n        s1 = np.sin(2*np.pi*t)\n        s2 = np.sin(4*np.pi*t)\n        fig = figure()\n        ax1 = fig.add_subplot(211)\n        ax1.plot(t, s1)\n        ax2 = fig.add_subplot(212, sharex=ax1)\n        ax2.plot(t, s2)\n        multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,\n                            horizOn=False, vertOn=True)\n        show()\n    \"\"\"\n    def __init__(self, canvas, axes, useblit=True, horizOn=False, vertOn=True,\n                 **lineprops):\n\n        self.canvas = canvas\n        self.axes = axes\n        self.horizOn = horizOn\n        self.vertOn = vertOn\n\n        xmin, xmax = axes[-1].get_xlim()\n        xmid = 0.5 * (xmin + xmax)\n\n        self.visible = True\n        self.useblit = useblit and self.canvas.supports_blit\n        self.background = None\n        self.needclear = False\n\n        if self.useblit:\n            lineprops['animated'] = True\n\n        if vertOn:\n            self.vlines = [ax.axvline(xmid, visible=False, **lineprops)\n                           for ax in axes]\n        else:\n            self.vlines = []\n\n        if horizOn:\n            self.hlines = []\n            for ax in axes:\n                ymin, ymax = ax.get_ylim()\n                ymid = 0.5 * (ymin + ymax)\n                hline = ax.axhline(ymid, visible=False, **lineprops)\n                self.hlines.append(hline)\n        else:\n            self.hlines = []\n\n        self.connect()\n\n    def connect(self):\n        \"\"\"connect events\"\"\"\n        self._cidmotion = self.canvas.mpl_connect('motion_notify_event',\n                                                  self.onmove)\n        self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear)\n\n    def disconnect(self):\n        \"\"\"disconnect events\"\"\"\n        self.canvas.mpl_disconnect(self._cidmotion)\n        self.canvas.mpl_disconnect(self._ciddraw)\n\n    def clear(self, event):\n        \"\"\"clear the cursor\"\"\"\n        if self.ignore(event):\n            return\n        if self.useblit:\n            self.background = (\n                self.canvas.copy_from_bbox(self.canvas.figure.bbox))\n        for line in self.vlines + self.hlines:\n            line.set_visible(False)\n\n    def onmove(self, event):\n        if self.ignore(event):\n            return\n        if event.inaxes is None:\n            return\n\n        if not self.canvas.widgetlock.available(self):\n            return\n        self.needclear = True\n        if not self.visible:\n            return\n        if self.vertOn:\n            for line in self.vlines:\n                visible = True or line.axes == event.inaxes\n                line.set_xdata((event.xdata, event.xdata))\n                line.set_visible(visible)\n        if self.horizOn:\n            for line in self.hlines:\n                visible = line.axes == event.inaxes\n                line.set_ydata((event.ydata, event.ydata))\n                line.set_visible(visible)\n        self._update(event)\n\n    def _update(self, event):\n        if self.useblit:\n            if self.background is not None:\n                self.canvas.restore_region(self.background)\n            if self.vertOn:\n                for ax, line in zip(self.axes, self.vlines):\n                    ax.draw_artist(line)\n            if self.horizOn:\n                for ax, line in zip(self.axes, self.hlines):\n                    ax.draw_artist(line)\n            self.canvas.blit(self.canvas.figure.bbox)\n        else:\n            self.canvas.draw_idle()\n"
  },
  {
    "path": "backtrader/plot/plot.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport bisect\nimport collections\nimport datetime\nimport itertools\nimport math\nimport operator\nimport sys\n\nimport matplotlib\nimport numpy as np  # guaranteed by matplotlib\nimport matplotlib.dates as mdates\nimport matplotlib.font_manager as mfontmgr\nimport matplotlib.legend as mlegend\nimport matplotlib.ticker as mticker\n\nfrom ..utils.py3 import range, with_metaclass, string_types, integer_types\nfrom .. import AutoInfoClass, MetaParams, TimeFrame, date2num\n\nfrom .finance import plot_candlestick, plot_ohlc, plot_volume, plot_lineonclose\nfrom .formatters import (MyVolFormatter, MyDateFormatter, getlocator)\nfrom . import locator as loc\nfrom .multicursor import MultiCursor\nfrom .scheme import PlotScheme\nfrom .utils import tag_box_style\n\n\nclass PInfo(object):\n    def __init__(self, sch):\n        self.sch = sch\n        self.nrows = 0\n        self.row = 0\n        self.clock = None\n        self.x = None\n        self.xlen = 0\n        self.sharex = None\n        self.figs = list()\n        self.cursors = list()\n        self.daxis = collections.OrderedDict()\n        self.vaxis = list()\n        self.zorder = dict()\n        self.coloridx = collections.defaultdict(lambda: -1)\n        self.handles = collections.defaultdict(list)\n        self.labels = collections.defaultdict(list)\n        self.legpos = collections.defaultdict(int)\n\n        self.prop = mfontmgr.FontProperties(size=self.sch.subtxtsize)\n\n    def newfig(self, figid, numfig, mpyplot):\n        fig = mpyplot.figure(figid + numfig)\n        self.figs.append(fig)\n        self.daxis = collections.OrderedDict()\n        self.vaxis = list()\n        self.row = 0\n        self.sharex = None\n        return fig\n\n    def nextcolor(self, ax):\n        self.coloridx[ax] += 1\n        return self.coloridx[ax]\n\n    def color(self, ax):\n        return self.sch.color(self.coloridx[ax])\n\n    def zordernext(self, ax):\n        z = self.zorder[ax]\n        if self.sch.zdown:\n            return z * 0.9999\n        return z * 1.0001\n\n    def zordercur(self, ax):\n        return self.zorder[ax]\n\n\nclass Plot_OldSync(with_metaclass(MetaParams, object)):\n    params = (('scheme', PlotScheme()),)\n\n    def __init__(self, **kwargs):\n        for pname, pvalue in kwargs.items():\n            setattr(self.p.scheme, pname, pvalue)\n        if not hasattr(self.p.scheme, 'locbg'):\n            setattr(self.p.scheme, 'locbg', 'white')\n            setattr(self.p.scheme, 'locbgother', 'white')\n\n    def drawtag(self, ax, x, y, facecolor, edgecolor, alpha=0.9, **kwargs):\n\n        txt = ax.text(x, y, '%.2f' % y, va='center', ha='left',\n                      fontsize=self.pinf.sch.subtxtsize,\n                      bbox=dict(boxstyle=tag_box_style,\n                                facecolor=facecolor,\n                                edgecolor=edgecolor,\n                                alpha=alpha),\n                      # 3.0 is the minimum default for text\n                      zorder=self.pinf.zorder[ax] + 3.0,\n                      **kwargs)\n\n    def plot(self, strategy, figid=0, numfigs=1, iplot=True,\n             start=None, end=None, **kwargs):\n        # pfillers={}):\n        if not strategy.datas:\n            return\n\n        if not len(strategy):\n            return\n\n        if iplot:\n            if 'ipykernel' in sys.modules:\n                matplotlib.use('nbagg')\n\n        # this import must not happen before matplotlib.use\n        import matplotlib.pyplot as mpyplot\n        self.mpyplot = mpyplot\n\n        self.pinf = PInfo(self.p.scheme)\n        self.sortdataindicators(strategy)\n        self.calcrows(strategy)\n\n        st_dtime = strategy.lines.datetime.plot()\n        if start is None:\n            start = 0\n        if end is None:\n            end = len(st_dtime)\n\n        if isinstance(start, datetime.date):\n            start = bisect.bisect_left(st_dtime, date2num(start))\n\n        if isinstance(end, datetime.date):\n            end = bisect.bisect_right(st_dtime, date2num(end))\n\n        if end < 0:\n            end = len(st_dtime) + 1 + end  # -1 =  len() -2 = len() - 1\n\n        slen = len(st_dtime[start:end])\n        d, m = divmod(slen, numfigs)\n        pranges = list()\n        for i in range(numfigs):\n            a = d * i + start\n            if i == (numfigs - 1):\n                d += m  # add remainder to last stint\n            b = a + d\n\n            pranges.append([a, b, d])\n\n        figs = []\n\n        for numfig in range(numfigs):\n            # prepare a figure\n            fig = self.pinf.newfig(figid, numfig, self.mpyplot)\n            figs.append(fig)\n\n            self.pinf.pstart, self.pinf.pend, self.pinf.psize = pranges[numfig]\n            self.pinf.xstart = self.pinf.pstart\n            self.pinf.xend = self.pinf.pend\n\n            self.pinf.clock = strategy\n            self.pinf.xreal = self.pinf.clock.datetime.plot(\n                self.pinf.pstart, self.pinf.psize)\n            self.pinf.xlen = len(self.pinf.xreal)\n            self.pinf.x = list(range(self.pinf.xlen))\n            # self.pinf.pfillers = {None: []}\n            # for key, val in pfillers.items():\n            #     pfstart = bisect.bisect_left(val, self.pinf.pstart)\n            #     pfend = bisect.bisect_right(val, self.pinf.pend)\n            #     self.pinf.pfillers[key] = val[pfstart:pfend]\n\n            # Do the plotting\n            # Things that go always at the top (observers)\n            self.pinf.xdata = self.pinf.x\n            for ptop in self.dplotstop:\n                self.plotind(None, ptop, subinds=self.dplotsover[ptop])\n\n            # Create the rest on a per data basis\n            dt0, dt1 = self.pinf.xreal[0], self.pinf.xreal[-1]\n            for data in strategy.datas:\n                if not data.plotinfo.plot:\n                    continue\n\n                self.pinf.xdata = self.pinf.x\n                xd = data.datetime.plotrange(self.pinf.xstart, self.pinf.xend)\n                if len(xd) < self.pinf.xlen:\n                    self.pinf.xdata = xdata = []\n                    xreal = self.pinf.xreal\n                    dts = data.datetime.plot()\n                    xtemp = list()\n                    for dt in (x for x in dts if dt0 <= x <= dt1):\n                        dtidx = bisect.bisect_left(xreal, dt)\n                        xdata.append(dtidx)\n                        xtemp.append(dt)\n\n                    self.pinf.xstart = bisect.bisect_left(dts, xtemp[0])\n                    self.pinf.xend = bisect.bisect_right(dts, xtemp[-1])\n\n                for ind in self.dplotsup[data]:\n                    self.plotind(\n                        data,\n                        ind,\n                        subinds=self.dplotsover[ind],\n                        upinds=self.dplotsup[ind],\n                        downinds=self.dplotsdown[ind])\n\n                self.plotdata(data, self.dplotsover[data])\n\n                for ind in self.dplotsdown[data]:\n                    self.plotind(\n                        data,\n                        ind,\n                        subinds=self.dplotsover[ind],\n                        upinds=self.dplotsup[ind],\n                        downinds=self.dplotsdown[ind])\n\n            cursor = MultiCursor(\n                fig.canvas, list(self.pinf.daxis.values()),\n                useblit=True,\n                horizOn=True, vertOn=True,\n                horizMulti=False, vertMulti=True,\n                horizShared=True, vertShared=False,\n                color='black', lw=1, ls=':')\n\n            self.pinf.cursors.append(cursor)\n\n            # Put the subplots as indicated by hspace\n            fig.subplots_adjust(hspace=self.pinf.sch.plotdist,\n                                top=0.98, left=0.05, bottom=0.05, right=0.95)\n\n            laxis = list(self.pinf.daxis.values())\n\n            # Find last axis which is not a twinx (date locator fails there)\n            i = -1\n            while True:\n                lastax = laxis[i]\n                if lastax not in self.pinf.vaxis:\n                    break\n\n                i -= 1\n\n            self.setlocators(lastax)  # place the locators/fmts\n\n            # Applying fig.autofmt_xdate if the data axis is the last one\n            # breaks the presentation of the date labels. why?\n            # Applying the manual rotation with setp cures the problem\n            # but the labels from all axis but the last have to be hidden\n            for ax in laxis:\n                self.mpyplot.setp(ax.get_xticklabels(), visible=False)\n\n            self.mpyplot.setp(lastax.get_xticklabels(), visible=True,\n                              rotation=self.pinf.sch.tickrotation)\n\n            # Things must be tight along the x axis (to fill both ends)\n            axtight = 'x' if not self.pinf.sch.ytight else 'both'\n            self.mpyplot.autoscale(enable=True, axis=axtight, tight=True)\n\n        return figs\n\n    def setlocators(self, ax):\n        clock = sorted(self.pinf.clock.datas,\n                       key=lambda x: (x._timeframe, x._compression))[0]\n\n        comp = getattr(clock, '_compression', 1)\n        tframe = getattr(clock, '_timeframe', TimeFrame.Days)\n\n        if self.pinf.sch.fmt_x_data is None:\n            if tframe == TimeFrame.Years:\n                fmtdata = '%Y'\n            elif tframe == TimeFrame.Months:\n                fmtdata = '%Y-%m'\n            elif tframe == TimeFrame.Weeks:\n                fmtdata = '%Y-%m-%d'\n            elif tframe == TimeFrame.Days:\n                fmtdata = '%Y-%m-%d'\n            elif tframe == TimeFrame.Minutes:\n                fmtdata = '%Y-%m-%d %H:%M'\n            elif tframe == TimeFrame.Seconds:\n                fmtdata = '%Y-%m-%d %H:%M:%S'\n            elif tframe == TimeFrame.MicroSeconds:\n                fmtdata = '%Y-%m-%d %H:%M:%S.%f'\n            elif tframe == TimeFrame.Ticks:\n                fmtdata = '%Y-%m-%d %H:%M:%S.%f'\n        else:\n            fmtdata = self.pinf.sch.fmt_x_data\n\n        fordata = MyDateFormatter(self.pinf.xreal, fmt=fmtdata)\n        for dax in self.pinf.daxis.values():\n            dax.fmt_xdata = fordata\n\n        # Major locator / formatter\n        locmajor = loc.AutoDateLocator(self.pinf.xreal)\n        ax.xaxis.set_major_locator(locmajor)\n        if self.pinf.sch.fmt_x_ticks is None:\n            autofmt = loc.AutoDateFormatter(self.pinf.xreal, locmajor)\n        else:\n            autofmt = MyDateFormatter(self.pinf.xreal,\n                                      fmt=self.pinf.sch.fmt_x_ticks)\n        ax.xaxis.set_major_formatter(autofmt)\n\n    def calcrows(self, strategy):\n        # Calculate the total number of rows\n        rowsmajor = self.pinf.sch.rowsmajor\n        rowsminor = self.pinf.sch.rowsminor\n        nrows = 0\n\n        datasnoplot = 0\n        for data in strategy.datas:\n            if not data.plotinfo.plot:\n                # neither data nor indicators nor volume add rows\n                datasnoplot += 1\n                self.dplotsup.pop(data, None)\n                self.dplotsdown.pop(data, None)\n                self.dplotsover.pop(data, None)\n\n            else:\n                pmaster = data.plotinfo.plotmaster\n                if pmaster is data:\n                    pmaster = None\n                if pmaster is not None:\n                    # data doesn't add a row, but volume may\n                    if self.pinf.sch.volume:\n                        nrows += rowsminor\n                else:\n                    # data adds rows, volume may\n                    nrows += rowsmajor\n                    if self.pinf.sch.volume and not self.pinf.sch.voloverlay:\n                        nrows += rowsminor\n\n        if False:\n            # Datas and volumes\n            nrows += (len(strategy.datas) - datasnoplot) * rowsmajor\n            if self.pinf.sch.volume and not self.pinf.sch.voloverlay:\n                nrows += (len(strategy.datas) - datasnoplot) * rowsminor\n\n        # top indicators/observers\n        nrows += len(self.dplotstop) * rowsminor\n\n        # indicators above datas\n        nrows += sum(len(v) for v in self.dplotsup.values())\n        nrows += sum(len(v) for v in self.dplotsdown.values())\n\n        self.pinf.nrows = nrows\n\n    def newaxis(self, obj, rowspan):\n        ax = self.mpyplot.subplot2grid(\n            (self.pinf.nrows, 1), (self.pinf.row, 0),\n            rowspan=rowspan, sharex=self.pinf.sharex)\n\n        # update the sharex information if not available\n        if self.pinf.sharex is None:\n            self.pinf.sharex = ax\n\n        # update the row index with the taken rows\n        self.pinf.row += rowspan\n\n        # save the mapping indicator - axis and return\n        self.pinf.daxis[obj] = ax\n\n        # Activate grid in all axes if requested\n        ax.yaxis.tick_right()\n        ax.grid(self.pinf.sch.grid, which='both')\n\n        return ax\n\n    def plotind(self, iref, ind,\n                subinds=None, upinds=None, downinds=None,\n                masterax=None):\n\n        sch = self.p.scheme\n\n        # check subind\n        subinds = subinds or []\n        upinds = upinds or []\n        downinds = downinds or []\n\n        # plot subindicators on self with independent axis above\n        for upind in upinds:\n            self.plotind(iref, upind)\n\n        # Get an axis for this plot\n        ax = masterax or self.newaxis(ind, rowspan=self.pinf.sch.rowsminor)\n\n        indlabel = ind.plotlabel()\n\n        # Scan lines quickly to find out if some lines have to be skipped for\n        # legend (because matplotlib reorders the legend)\n        toskip = 0\n        for lineidx in range(ind.size()):\n            line = ind.lines[lineidx]\n            linealias = ind.lines._getlinealias(lineidx)\n            lineplotinfo = getattr(ind.plotlines, '_%d' % lineidx, None)\n            if not lineplotinfo:\n                lineplotinfo = getattr(ind.plotlines, linealias, None)\n            if not lineplotinfo:\n                lineplotinfo = AutoInfoClass()\n            pltmethod = lineplotinfo._get('_method', 'plot')\n            if pltmethod != 'plot':\n                toskip += 1 - lineplotinfo._get('_plotskip', False)\n\n        if toskip >= ind.size():\n            toskip = 0\n\n        for lineidx in range(ind.size()):\n            line = ind.lines[lineidx]\n            linealias = ind.lines._getlinealias(lineidx)\n\n            lineplotinfo = getattr(ind.plotlines, '_%d' % lineidx, None)\n            if not lineplotinfo:\n                lineplotinfo = getattr(ind.plotlines, linealias, None)\n\n            if not lineplotinfo:\n                lineplotinfo = AutoInfoClass()\n\n            if lineplotinfo._get('_plotskip', False):\n                continue\n\n            # Legend label only when plotting 1st line\n            if masterax and not ind.plotinfo.plotlinelabels:\n                label = indlabel * (not toskip) or '_nolegend'\n            else:\n                label = (indlabel + '\\n') * (not toskip)\n                label += lineplotinfo._get('_name', '') or linealias\n\n            toskip -= 1  # one line less until legend can be added\n\n            # plot data\n            lplot = line.plotrange(self.pinf.xstart, self.pinf.xend)\n\n            # Global and generic for indicator\n            if self.pinf.sch.linevalues and ind.plotinfo.plotlinevalues:\n                plotlinevalue = lineplotinfo._get('_plotvalue', True)\n                if plotlinevalue and not math.isnan(lplot[-1]):\n                    label += ' %.2f' % lplot[-1]\n\n            plotkwargs = dict()\n            linekwargs = lineplotinfo._getkwargs(skip_=True)\n\n            if linekwargs.get('color', None) is None:\n                if not lineplotinfo._get('_samecolor', False):\n                    self.pinf.nextcolor(ax)\n                plotkwargs['color'] = self.pinf.color(ax)\n\n            plotkwargs.update(dict(aa=True, label=label))\n            plotkwargs.update(**linekwargs)\n\n            if ax in self.pinf.zorder:\n                plotkwargs['zorder'] = self.pinf.zordernext(ax)\n\n            pltmethod = getattr(ax, lineplotinfo._get('_method', 'plot'))\n\n            xdata, lplotarray = self.pinf.xdata, lplot\n            if lineplotinfo._get('_skipnan', False):\n                # Get the full array and a mask to skipnan\n                lplotarray = np.array(lplot)\n                lplotmask = np.isfinite(lplotarray)\n\n                # Get both the axis and the data masked\n                lplotarray = lplotarray[lplotmask]\n                xdata = np.array(xdata)[lplotmask]\n\n            plottedline = pltmethod(xdata, lplotarray, **plotkwargs)\n            try:\n                plottedline = plottedline[0]\n            except:\n                # Possibly a container of artists (when plotting bars)\n                pass\n\n            self.pinf.zorder[ax] = plottedline.get_zorder()\n\n            vtags = lineplotinfo._get('plotvaluetags', True)\n            if self.pinf.sch.valuetags and vtags:\n                linetag = lineplotinfo._get('_plotvaluetag', True)\n                if linetag and not math.isnan(lplot[-1]):\n                    # line has valid values, plot a tag for the last value\n                    self.drawtag(ax, len(self.pinf.xreal), lplot[-1],\n                                 facecolor=self.pinf.sch.locbgother,\n                                 edgecolor=self.pinf.color(ax))\n\n            farts = (('_gt', operator.gt), ('_lt', operator.lt), ('', None),)\n            for fcmp, fop in farts:\n                fattr = '_fill' + fcmp\n                fref, fcol = lineplotinfo._get(fattr, (None, None))\n                if fref is not None:\n                    y1 = np.array(lplot)\n                    if isinstance(fref, integer_types):\n                        y2 = np.full_like(y1, fref)\n                    else:  # string, naming a line, nothing else is supported\n                        l2 = getattr(ind, fref)\n                        prl2 = l2.plotrange(self.pinf.xstart, self.pinf.xend)\n                        y2 = np.array(prl2)\n                    kwargs = dict()\n                    if fop is not None:\n                        kwargs['where'] = fop(y1, y2)\n\n                    falpha = self.pinf.sch.fillalpha\n                    if isinstance(fcol, (list, tuple)):\n                        fcol, falpha = fcol\n\n                    ax.fill_between(self.pinf.xdata, y1, y2,\n                                    facecolor=fcol,\n                                    alpha=falpha,\n                                    interpolate=True,\n                                    **kwargs)\n\n        # plot subindicators that were created on self\n        for subind in subinds:\n            self.plotind(iref, subind, subinds=self.dplotsover[subind],\n                         masterax=ax)\n\n        if not masterax:\n            # adjust margin if requested ... general of particular\n            ymargin = ind.plotinfo._get('plotymargin', 0.0)\n            ymargin = max(ymargin, self.pinf.sch.yadjust)\n            if ymargin:\n                ax.margins(y=ymargin)\n\n            # Set specific or generic ticks\n            yticks = ind.plotinfo._get('plotyticks', [])\n            if not yticks:\n                yticks = ind.plotinfo._get('plotyhlines', [])\n\n            if yticks:\n                ax.set_yticks(yticks)\n            else:\n                locator = mticker.MaxNLocator(nbins=4, prune='both')\n                ax.yaxis.set_major_locator(locator)\n\n            # Set specific hlines if asked to\n            hlines = ind.plotinfo._get('plothlines', [])\n            if not hlines:\n                hlines = ind.plotinfo._get('plotyhlines', [])\n            for hline in hlines:\n                ax.axhline(hline, color=self.pinf.sch.hlinescolor,\n                           ls=self.pinf.sch.hlinesstyle,\n                           lw=self.pinf.sch.hlineswidth)\n\n            if self.pinf.sch.legendind and \\\n               ind.plotinfo._get('plotlegend', True):\n\n                handles, labels = ax.get_legend_handles_labels()\n                # Ensure that we have something to show\n                if labels:\n                    # location can come from the user\n                    loc = ind.plotinfo.legendloc or self.pinf.sch.legendindloc\n\n                    # Legend done here to ensure it includes all plots\n                    legend = ax.legend(loc=loc,\n                                       numpoints=1, frameon=False,\n                                       shadow=False, fancybox=False,\n                                       prop=self.pinf.prop)\n\n                    # legend.set_title(indlabel, prop=self.pinf.prop)\n                    # hack: if title is set. legend has a Vbox for the labels\n                    # which has a default \"center\" set\n                    legend._legend_box.align = 'left'\n\n        # plot subindicators on self with independent axis below\n        for downind in downinds:\n            self.plotind(iref, downind)\n\n    def plotvolume(self, data, opens, highs, lows, closes, volumes, label):\n        pmaster = data.plotinfo.plotmaster\n        if pmaster is data:\n            pmaster = None\n        voloverlay = (self.pinf.sch.voloverlay and pmaster is None)\n\n        # if sefl.pinf.sch.voloverlay:\n        if voloverlay:\n            rowspan = self.pinf.sch.rowsmajor\n        else:\n            rowspan = self.pinf.sch.rowsminor\n\n        ax = self.newaxis(data.volume, rowspan=rowspan)\n\n        # if self.pinf.sch.voloverlay:\n        if voloverlay:\n            volalpha = self.pinf.sch.voltrans\n        else:\n            volalpha = 1.0\n\n        maxvol = volylim = max(volumes)\n        if maxvol:\n\n            # Plot the volume (no matter if as overlay or standalone)\n            vollabel = label\n            volplot, = plot_volume(ax, self.pinf.xdata, opens, closes, volumes,\n                                   colorup=self.pinf.sch.volup,\n                                   colordown=self.pinf.sch.voldown,\n                                   alpha=volalpha, label=vollabel)\n\n            nbins = 6\n            prune = 'both'\n            # if self.pinf.sch.voloverlay:\n            if voloverlay:\n                # store for a potential plot over it\n                nbins = int(nbins / self.pinf.sch.volscaling)\n                prune = None\n\n                volylim /= self.pinf.sch.volscaling\n                ax.set_ylim(0, volylim, auto=True)\n            else:\n                # plot a legend\n                handles, labels = ax.get_legend_handles_labels()\n                if handles:\n\n                    # location can come from the user\n                    loc = data.plotinfo.legendloc or self.pinf.sch.legendindloc\n\n                    # Legend done here to ensure it includes all plots\n                    legend = ax.legend(loc=loc,\n                                       numpoints=1, frameon=False,\n                                       shadow=False, fancybox=False,\n                                       prop=self.pinf.prop)\n\n            locator = mticker.MaxNLocator(nbins=nbins, prune=prune)\n            ax.yaxis.set_major_locator(locator)\n            ax.yaxis.set_major_formatter(MyVolFormatter(maxvol))\n\n        if not maxvol:\n            ax.set_yticks([])\n            return None\n\n        return volplot\n\n    def plotdata(self, data, indicators):\n        for ind in indicators:\n            upinds = self.dplotsup[ind]\n            for upind in upinds:\n                self.plotind(data, upind,\n                             subinds=self.dplotsover[upind],\n                             upinds=self.dplotsup[upind],\n                             downinds=self.dplotsdown[upind])\n\n        opens = data.open.plotrange(self.pinf.xstart, self.pinf.xend)\n        highs = data.high.plotrange(self.pinf.xstart, self.pinf.xend)\n        lows = data.low.plotrange(self.pinf.xstart, self.pinf.xend)\n        closes = data.close.plotrange(self.pinf.xstart, self.pinf.xend)\n        volumes = data.volume.plotrange(self.pinf.xstart, self.pinf.xend)\n\n        vollabel = 'Volume'\n        pmaster = data.plotinfo.plotmaster\n        if pmaster is data:\n            pmaster = None\n\n        datalabel = ''\n        if hasattr(data, '_name') and data._name:\n            datalabel += data._name\n\n        voloverlay = (self.pinf.sch.voloverlay and pmaster is None)\n\n        if not voloverlay:\n            vollabel += ' ({})'.format(datalabel)\n\n        # if self.pinf.sch.volume and self.pinf.sch.voloverlay:\n        axdatamaster = None\n        if self.pinf.sch.volume and voloverlay:\n            volplot = self.plotvolume(\n                data, opens, highs, lows, closes, volumes, vollabel)\n            axvol = self.pinf.daxis[data.volume]\n            ax = axvol.twinx()\n            self.pinf.daxis[data] = ax\n            self.pinf.vaxis.append(ax)\n        else:\n            if pmaster is None:\n                ax = self.newaxis(data, rowspan=self.pinf.sch.rowsmajor)\n            elif getattr(data.plotinfo, 'sameaxis', False):\n                axdatamaster = self.pinf.daxis[pmaster]\n                ax = axdatamaster\n            else:\n                axdatamaster = self.pinf.daxis[pmaster]\n                ax = axdatamaster.twinx()\n                self.pinf.vaxis.append(ax)\n\n        if hasattr(data, '_compression') and \\\n           hasattr(data, '_timeframe'):\n            tfname = TimeFrame.getname(data._timeframe, data._compression)\n            datalabel += ' (%d %s)' % (data._compression, tfname)\n\n        plinevalues = getattr(data.plotinfo, 'plotlinevalues', True)\n        if self.pinf.sch.style.startswith('line'):\n            if self.pinf.sch.linevalues and plinevalues:\n                datalabel += ' C:%.2f' % closes[-1]\n\n            if axdatamaster is None:\n                color = self.pinf.sch.loc\n            else:\n                self.pinf.nextcolor(axdatamaster)\n                color = self.pinf.color(axdatamaster)\n\n            plotted = plot_lineonclose(\n                ax, self.pinf.xdata, closes,\n                color=color, label=datalabel)\n        else:\n            if self.pinf.sch.linevalues and plinevalues:\n                datalabel += ' O:%.2f H:%.2f L:%.2f C:%.2f' % \\\n                             (opens[-1], highs[-1], lows[-1], closes[-1])\n            if self.pinf.sch.style.startswith('candle'):\n                plotted = plot_candlestick(\n                    ax, self.pinf.xdata, opens, highs, lows, closes,\n                    colorup=self.pinf.sch.barup,\n                    colordown=self.pinf.sch.bardown,\n                    label=datalabel,\n                    alpha=self.pinf.sch.baralpha,\n                    fillup=self.pinf.sch.barupfill,\n                    filldown=self.pinf.sch.bardownfill)\n\n            elif self.pinf.sch.style.startswith('bar') or True:\n                # final default option -- should be \"else\"\n                plotted = plot_ohlc(\n                    ax, self.pinf.xdata, opens, highs, lows, closes,\n                    colorup=self.pinf.sch.barup,\n                    colordown=self.pinf.sch.bardown,\n                    label=datalabel)\n\n        self.pinf.zorder[ax] = plotted[0].get_zorder()\n\n        # Code to place a label at the right hand side with the last value\n        vtags = data.plotinfo._get('plotvaluetags', True)\n        if self.pinf.sch.valuetags and vtags:\n            self.drawtag(ax, len(self.pinf.xreal), closes[-1],\n                         facecolor=self.pinf.sch.locbg,\n                         edgecolor=self.pinf.sch.loc)\n\n        ax.yaxis.set_major_locator(mticker.MaxNLocator(prune='both'))\n        # make sure \"over\" indicators do not change our scale\n        if data.plotinfo._get('plotylimited', True):\n            if axdatamaster is None:\n                ax.set_ylim(ax.get_ylim())\n\n        if self.pinf.sch.volume:\n            # if not self.pinf.sch.voloverlay:\n            if not voloverlay:\n                self.plotvolume(\n                    data, opens, highs, lows, closes, volumes, vollabel)\n            else:\n                # Prepare overlay scaling/pushup or manage own axis\n                if self.pinf.sch.volpushup:\n                    # push up overlaid axis by lowering the bottom limit\n                    axbot, axtop = ax.get_ylim()\n                    axbot *= (1.0 - self.pinf.sch.volpushup)\n                    ax.set_ylim(axbot, axtop)\n\n        for ind in indicators:\n            self.plotind(data, ind, subinds=self.dplotsover[ind], masterax=ax)\n\n        handles, labels = ax.get_legend_handles_labels()\n        a = axdatamaster or ax\n        if handles:\n            # put data and volume legend entries in the 1st positions\n            # because they are \"collections\" they are considered after Line2D\n            # for the legend entries, which is not our desire\n            # if self.pinf.sch.volume and self.pinf.sch.voloverlay:\n\n            ai = self.pinf.legpos[a]\n            if self.pinf.sch.volume and voloverlay:\n                if volplot:\n                    # even if volume plot was requested, there may be no volume\n                    labels.insert(ai, vollabel)\n                    handles.insert(ai, volplot)\n\n            didx = labels.index(datalabel)\n            labels.insert(ai, labels.pop(didx))\n            handles.insert(ai, handles.pop(didx))\n\n            if axdatamaster is None:\n                self.pinf.handles[ax] = handles\n                self.pinf.labels[ax] = labels\n            else:\n                self.pinf.handles[axdatamaster] = handles\n                self.pinf.labels[axdatamaster] = labels\n                # self.pinf.handles[axdatamaster].extend(handles)\n                # self.pinf.labels[axdatamaster].extend(labels)\n\n            h = self.pinf.handles[a]\n            l = self.pinf.labels[a]\n\n            axlegend = a\n            loc = data.plotinfo.legendloc or self.pinf.sch.legenddataloc\n            legend = axlegend.legend(h, l,\n                                     loc=loc,\n                                     frameon=False, shadow=False,\n                                     fancybox=False, prop=self.pinf.prop,\n                                     numpoints=1, ncol=1)\n\n            # hack: if title is set. legend has a Vbox for the labels\n            # which has a default \"center\" set\n            legend._legend_box.align = 'left'\n\n        for ind in indicators:\n            downinds = self.dplotsdown[ind]\n            for downind in downinds:\n                self.plotind(data, downind,\n                             subinds=self.dplotsover[downind],\n                             upinds=self.dplotsup[downind],\n                             downinds=self.dplotsdown[downind])\n\n        self.pinf.legpos[a] = len(self.pinf.handles[a])\n\n        if data.plotinfo._get('plotlog', False):\n            a = axdatamaster or ax\n            a.set_yscale('log')\n\n    def show(self):\n        self.mpyplot.show()\n\n    def savefig(self, fig, filename, width=16, height=9, dpi=300, tight=True):\n        fig.set_size_inches(width, height)\n        bbox_inches = 'tight' * tight or None\n        fig.savefig(filename, dpi=dpi, bbox_inches=bbox_inches)\n\n    def sortdataindicators(self, strategy):\n        # These lists/dictionaries hold the subplots that go above each data\n        self.dplotstop = list()\n        self.dplotsup = collections.defaultdict(list)\n        self.dplotsdown = collections.defaultdict(list)\n        self.dplotsover = collections.defaultdict(list)\n\n        # Sort observers in the different lists/dictionaries\n        for x in strategy.getobservers():\n            if not x.plotinfo.plot or x.plotinfo.plotskip:\n                continue\n\n            if x.plotinfo.subplot:\n                self.dplotstop.append(x)\n            else:\n                key = getattr(x._clock, 'owner', x._clock)\n                self.dplotsover[key].append(x)\n\n        # Sort indicators in the different lists/dictionaries\n        for x in strategy.getindicators():\n            if not hasattr(x, 'plotinfo'):\n                # no plotting support - so far LineSingle derived classes\n                continue\n\n            if not x.plotinfo.plot or x.plotinfo.plotskip:\n                continue\n\n            x._plotinit()  # will be plotted ... call its init function\n\n            # support LineSeriesStub which has \"owner\" to point to the data\n            key = getattr(x._clock, 'owner', x._clock)\n            if key is strategy:  # a LinesCoupler\n                key = strategy.data\n\n            if getattr(x.plotinfo, 'plotforce', False):\n                if key not in strategy.datas:\n                    datas = strategy.datas\n                    while True:\n                        if key not in strategy.datas:\n                            key = key._clock\n                        else:\n                            break\n\n            xpmaster = x.plotinfo.plotmaster\n            if xpmaster is x:\n                xpmaster = None\n            if xpmaster is not None:\n                key = xpmaster\n\n            if x.plotinfo.subplot and xpmaster is None:\n                if x.plotinfo.plotabove:\n                    self.dplotsup[key].append(x)\n                else:\n                    self.dplotsdown[key].append(x)\n            else:\n                self.dplotsover[key].append(x)\n\n\nPlot = Plot_OldSync\n"
  },
  {
    "path": "backtrader/plot/scheme.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\ntableau20 = [\n    'steelblue',  # 0\n    'lightsteelblue',  # 1\n    'darkorange',  # 2\n    'peachpuff',  # 3\n    'green',  # 4\n    'lightgreen',  # 5\n    'crimson',  # 6\n    'lightcoral',  # 7\n    'mediumpurple',  # 8\n    'thistle',  # 9\n    'saddlebrown',  # 10\n    'rosybrown',  # 11\n    'orchid',  # 12\n    'lightpink',  # 13\n    'gray',  # 14\n    'lightgray',  # 15\n    'olive',  # 16\n    'palegoldenrod',  # 17\n    'mediumturquoise',  # 18\n    'paleturquoise',  # 19\n]\n\ntableau10 = [\n    'blue',  # 'steelblue',  # 0\n    'darkorange',  # 1\n    'green',  # 2\n    'crimson',  # 3\n    'mediumpurple',  # 4\n    'saddlebrown',  # 5\n    'orchid',  # 6\n    'gray',  # 7\n    'olive',  # 8\n    'mediumturquoise',  # 9\n]\n\ntableau10_light = [\n    'lightsteelblue',  # 0\n    'peachpuff',  # 1\n    'lightgreen',  # 2\n    'lightcoral',  # 3\n    'thistle',  # 4\n    'rosybrown',  # 5\n    'lightpink',  # 6\n    'lightgray',  # 7\n    'palegoldenrod',  # 8\n    'paleturquoise',  # 9\n]\n\ntab10_index = [3, 0, 2, 1, 2, 4, 5, 6, 7, 8, 9]\n\n\nclass PlotScheme(object):\n    def __init__(self):\n        # to have a tight packing on the chart wether only the x axis or also\n        # the y axis have (see matplotlib)\n        self.ytight = False\n\n        # y-margin (top/bottom) for the subcharts. This will not overrule the\n        # option plotinfo.plotymargin\n        self.yadjust = 0.0\n        # Each new line is in z-order below the previous one. change it False\n        # to have lines paint above the previous line\n        self.zdown = True\n        # Rotation of the date labes on the x axis\n        self.tickrotation = 15\n\n        # How many \"subparts\" takes a major chart (datas) in the overall chart\n        # This is proportional to the total number of subcharts\n        self.rowsmajor = 5\n\n        # How many \"subparts\" takes a minor chart (indicators/observers) in the\n        # overall chart. This is proportional to the total number of subcharts\n        # Together with rowsmajor, this defines a proportion ratio betwen data\n        # charts and indicators/observers charts\n        self.rowsminor = 1\n\n        # Distance in between subcharts\n        self.plotdist = 0.0\n\n        # Have a grid in the background of all charts\n        self.grid = True\n\n        # Default plotstyle for the OHLC bars which (line -> line on close)\n        # Other options: 'bar' and 'candle'\n        self.style = 'line'\n\n        # Default color for the 'line on close' plot\n        self.loc = 'black'\n        # Default color for a bullish bar/candle (0.75 -> intensity of gray)\n        self.barup = '0.75'\n        # Default color for a bearish bar/candle\n        self.bardown = 'red'\n        # Level of transparency to apply to bars/cancles (NOT USED)\n        self.bartrans = 1.0\n\n        # Wether the candlesticks have to be filled or be transparent\n        self.barupfill = True\n        self.bardownfill = True\n\n        # Opacity for the filled candlesticks (1.0 opaque - 0.0 transparent)\n        self.baralpha = 1.0\n\n        # Alpha blending for fill areas between lines (_fill_gt and _fill_lt)\n        self.fillalpha = 0.20\n\n        # Wether to plot volume or not. Note: if the data in question has no\n        # volume values, volume plotting will be skipped even if this is True\n        self.volume = True\n\n        # Wether to overlay the volume on the data or use a separate subchart\n        self.voloverlay = True\n        # Scaling of the volume to the data when plotting as overlay\n        self.volscaling = 0.33\n        # Pushing overlay volume up for better visibiliy. Experimentation\n        # needed if the volume and data overlap too much\n        self.volpushup = 0.00\n\n        # Default colour for the volume of a bullish day\n        self.volup = '#aaaaaa'  # 0.66 of gray\n        # Default colour for the volume of a bearish day\n        self.voldown = '#cc6073'  # (204, 96, 115)\n        # Transparency to apply to the volume when overlaying\n        self.voltrans = 0.50\n\n        # Transparency for text labels (NOT USED CURRENTLY)\n        self.subtxttrans = 0.66\n        # Default font text size for labels on the chart\n        self.subtxtsize = 9\n\n        # Transparency for the legend (NOT USED CURRENTLY)\n        self.legendtrans = 0.25\n        # Wether indicators have a leged displaey in their charts\n        self.legendind = True\n        # Location of the legend for indicators (see matplotlib)\n        self.legendindloc = 'upper left'\n\n        # Location of the legend for datafeeds (see matplotlib)\n        self.legenddataloc = 'upper left'\n\n        # Plot the last value of a line after the Object name\n        self.linevalues = True\n\n        # Plot a tag at the end of each line with the last value\n        self.valuetags = True\n\n        # Default color for horizontal lines (see plotinfo.plothlines)\n        self.hlinescolor = '0.66'  # shade of gray\n        # Default style for horizontal lines\n        self.hlinesstyle = '--'\n        # Default width for horizontal lines\n        self.hlineswidth = 1.0\n\n        # Default color scheme: Tableau 10\n        self.lcolors = tableau10\n\n        # strftime Format string for the display of ticks on the x axis\n        self.fmt_x_ticks = '%Y-%m-%d %H:%M'\n\n        # strftime Format string for the display of data points values\n        self.fmt_x_data = None\n\n    def color(self, idx):\n        colidx = tab10_index[idx % len(tab10_index)]\n        return self.lcolors[colidx]\n"
  },
  {
    "path": "backtrader/plot/utils.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom colorsys import rgb_to_hls as rgb2hls, hls_to_rgb as hls2rgb\n\nimport matplotlib.colors as mplcolors\nimport matplotlib.path as mplpath\n\n\ndef tag_box_style(x0, y0, width, height, mutation_size, mutation_aspect=1):\n    \"\"\"\n    Given the location and size of the box, return the path of\n    the box around it.\n\n     - *x0*, *y0*, *width*, *height* : location and size of the box\n     - *mutation_size* : a reference scale for the mutation.\n     - *aspect_ratio* : aspect-ration for the mutation.\n    \"\"\"\n\n    # note that we are ignoring mutation_aspect. This is okay in general.\n    mypad = 0.2\n    pad = mutation_size * mypad\n\n    # width and height with padding added.\n    width, height = width + 2.*pad, height + 2.*pad,\n\n    # boundary of the padded box\n    x0, y0 = x0-pad, y0-pad,\n    x1, y1 = x0+width, y0 + height\n\n    cp = [(x0, y0),\n          (x1, y0), (x1, y1), (x0, y1),\n          (x0-pad, (y0+y1)/2.), (x0, y0),\n          (x0, y0)]\n\n    com = [mplpath.Path.MOVETO,\n           mplpath.Path.LINETO, mplpath.Path.LINETO, mplpath.Path.LINETO,\n           mplpath.Path.LINETO, mplpath.Path.LINETO,\n           mplpath.Path.CLOSEPOLY]\n\n    path = mplpath.Path(cp, com)\n\n    return path\n\n\ndef shade_color(color, percent):\n    \"\"\"Shade Color\n    This color utility function allows the user to easily darken or\n    lighten a color for plotting purposes.\n    Parameters\n    ----------\n    color : string, list, hexvalue\n        Any acceptable Matplotlib color value, such as\n        'red', 'slategrey', '#FFEE11', (1,0,0)\n    percent :  the amount by which to brighten or darken the color.\n    Returns\n    -------\n    color : tuple of floats\n        tuple representing converted rgb values\n    \"\"\"\n\n    rgb = mplcolors.colorConverter.to_rgb(color)\n\n    h, l, s = rgb2hls(*rgb)\n\n    l *= 1 + float(percent)/100\n\n    l = min(1, l)\n    l = max(0, l)\n\n    r, g, b = hls2rgb(h, l, s)\n\n    return r, g, b\n"
  },
  {
    "path": "backtrader/position.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom copy import copy\n\n\nclass Position(object):\n    '''\n    Keeps and updates the size and price of a position. The object has no\n    relationship to any asset. It only keeps size and price.\n\n    Member Attributes:\n      - size (int): current size of the position\n      - price (float): current price of the position\n\n    The Position instances can be tested using len(position) to see if size\n    is not null\n    '''\n\n    def __str__(self):\n        items = list()\n        items.append('--- Position Begin')\n        items.append('- Size: {}'.format(self.size))\n        items.append('- Price: {}'.format(self.price))\n        items.append('- Price orig: {}'.format(self.price_orig))\n        items.append('- Closed: {}'.format(self.upclosed))\n        items.append('- Opened: {}'.format(self.upopened))\n        items.append('- Adjbase: {}'.format(self.adjbase))\n        items.append('--- Position End')\n        return '\\n'.join(items)\n\n    def __init__(self, size=0, price=0.0):\n        self.size = size\n        if size:\n            self.price = self.price_orig = price\n        else:\n            self.price = 0.0\n\n        self.adjbase = None\n\n        self.upopened = size\n        self.upclosed = 0\n        self.set(size, price)\n\n        self.updt = None\n\n    def fix(self, size, price):\n        oldsize = self.size\n        self.size = size\n        self.price = price\n        return self.size == oldsize\n\n    def set(self, size, price):\n        if self.size > 0:\n            if size > self.size:\n                self.upopened = size - self.size  # new 10 - old 5 -> 5\n                self.upclosed = 0\n            else:\n                # same side min(0, 3) -> 0 / reversal min(0, -3) -> -3\n                self.upopened = min(0, size)\n                # same side min(10, 10 - 5) -> 5\n                # reversal min(10, 10 - -5) -> min(10, 15) -> 10\n                self.upclosed = min(self.size, self.size - size)\n\n        elif self.size < 0:\n            if size < self.size:\n                self.upopened = size - self.size  # ex: -5 - -3 -> -2\n                self.upclosed = 0\n            else:\n                # same side max(0, -5) -> 0 / reversal max(0, 5) -> 5\n                self.upopened = max(0, size)\n                # same side max(-10, -10 - -5) -> max(-10, -5) -> -5\n                # reversal max(-10, -10 - 5) -> max(-10, -15) -> -10\n                self.upclosed = max(self.size, self.size - size)\n\n        else:  # self.size == 0\n            self.upopened = self.size\n            self.upclosed = 0\n\n        self.size = size\n        self.price_orig = self.price\n        if size:\n            self.price = price\n        else:\n            self.price = 0.0\n\n        return self.size, self.price, self.upopened, self.upclosed\n\n    def __len__(self):\n        return abs(self.size)\n\n    def __bool__(self):\n        return bool(self.size != 0)\n\n    __nonzero__ = __bool__\n\n    def clone(self):\n        return Position(size=self.size, price=self.price)\n\n    def pseudoupdate(self, size, price):\n        return Position(self.size, self.price).update(size, price)\n\n    def update(self, size, price, dt=None):\n        '''\n        Updates the current position and returns the updated size, price and\n        units used to open/close a position\n\n        Args:\n            size (int): amount to update the position size\n                size < 0: A sell operation has taken place\n                size > 0: A buy operation has taken place\n\n            price (float):\n                Must always be positive to ensure consistency\n\n        Returns:\n            A tuple (non-named) contaning\n               size - new position size\n                   Simply the sum of the existing size plus the \"size\" argument\n               price - new position price\n                   If a position is increased the new average price will be\n                   returned\n                   If a position is reduced the price of the remaining size\n                   does not change\n                   If a position is closed the price is nullified\n                   If a position is reversed the price is the price given as\n                   argument\n               opened - amount of contracts from argument \"size\" that were used\n                   to open/increase a position.\n                   A position can be opened from 0 or can be a reversal.\n                   If a reversal is performed then opened is less than \"size\",\n                   because part of \"size\" will have been used to close the\n                   existing position\n               closed - amount of units from arguments \"size\" that were used to\n                   close/reduce a position\n\n            Both opened and closed carry the same sign as the \"size\" argument\n            because they refer to a part of the \"size\" argument\n        '''\n        self.datetime = dt  # record datetime update (datetime.datetime)\n\n        self.price_orig = self.price\n        oldsize = self.size\n        self.size += size\n\n        if not self.size:\n            # Update closed existing position\n            opened, closed = 0, size\n            self.price = 0.0\n        elif not oldsize:\n            # Update opened a position from 0\n            opened, closed = size, 0\n            self.price = price\n        elif oldsize > 0:  # existing \"long\" position updated\n\n            if size > 0:  # increased position\n                opened, closed = size, 0\n                self.price = (self.price * oldsize + size * price) / self.size\n\n            elif self.size > 0:  # reduced position\n                opened, closed = 0, size\n                # self.price = self.price\n\n            else:  # self.size < 0 # reversed position form plus to minus\n                opened, closed = self.size, -oldsize\n                self.price = price\n\n        else:  # oldsize < 0 - existing short position updated\n\n            if size < 0:  # increased position\n                opened, closed = size, 0\n                self.price = (self.price * oldsize + size * price) / self.size\n\n            elif self.size < 0:  # reduced position\n                opened, closed = 0, size\n                # self.price = self.price\n\n            else:  # self.size > 0 - reversed position from minus to plus\n                opened, closed = self.size, -oldsize\n                self.price = price\n\n        self.upopened = opened\n        self.upclosed = closed\n\n        return self.size, self.price, opened, closed\n"
  },
  {
    "path": "backtrader/resamplerfilter.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom datetime import datetime, date, timedelta\n\nfrom .dataseries import TimeFrame, _Bar\nfrom .utils.py3 import with_metaclass\nfrom . import metabase\nfrom .utils.date import date2num, num2date\n\n\nclass DTFaker(object):\n    # This will only be used for data sources which at some point in time\n    # return None from _load to indicate that a check of the resampler and/or\n    # notification queue is needed\n    # This is meant (at least initially) for real-time feeds, because those are\n    # the ones in need of events like the ones described above.\n    # These data sources should also be producing ``utc`` time directly because\n    # the real-time feed is (more often than not)  timestamped and utc provides\n    # a universal reference\n    # That's why below the timestamp is chosen in UTC and passed directly to\n    # date2num to avoid a localization. But it is extracted from data.num2date\n    # to ensure the returned datetime object is localized according to the\n    # expected output by the user (local timezone or any specified)\n\n    def __init__(self, data, forcedata=None):\n        self.data = data\n\n        # Aliases\n        self.datetime = self\n        self.p = self\n\n        if forcedata is None:\n            _dtime = datetime.utcnow() + data._timeoffset()\n            self._dt = dt = date2num(_dtime)  # utc-like time\n            self._dtime = data.num2date(dt)  # localized time\n        else:\n            self._dt = forcedata.datetime[0]  # utc-like time\n            self._dtime = forcedata.datetime.datetime()  # localized time\n\n        self.sessionend = data.p.sessionend\n\n    def __len__(self):\n        return len(self.data)\n\n    def __call__(self, idx=0):\n        return self._dtime  # simulates data.datetime.datetime()\n\n    def datetime(self, idx=0):\n        return self._dtime\n\n    def date(self, idx=0):\n        return self._dtime.date()\n\n    def time(self, idx=0):\n        return self._dtime.time()\n\n    @property\n    def _calendar(self):\n        return self.data._calendar\n\n    def __getitem__(self, idx):\n        return self._dt if idx == 0 else float('-inf')\n\n    def num2date(self, *args, **kwargs):\n        return self.data.num2date(*args, **kwargs)\n\n    def date2num(self, *args, **kwargs):\n        return self.data.date2num(*args, **kwargs)\n\n    def _getnexteos(self):\n        return self.data._getnexteos()\n\n\nclass _BaseResampler(with_metaclass(metabase.MetaParams, object)):\n    params = (\n        ('bar2edge', True),\n        ('adjbartime', True),\n        ('rightedge', True),\n        ('boundoff', 0),\n\n        ('timeframe', TimeFrame.Days),\n        ('compression', 1),\n\n        ('takelate', True),\n\n        ('sessionend', True),\n    )\n\n    def __init__(self, data):\n        self.subdays = TimeFrame.Ticks < self.p.timeframe < TimeFrame.Days\n        self.subweeks = self.p.timeframe < TimeFrame.Weeks\n        self.componly = (not self.subdays and\n                         data._timeframe == self.p.timeframe and\n                         not (self.p.compression % data._compression))\n\n        self.bar = _Bar(maxdate=True)  # bar holder\n        self.compcount = 0  # count of produced bars to control compression\n        self._firstbar = True\n        self.doadjusttime = (self.p.bar2edge and self.p.adjbartime and\n                             self.subweeks)\n\n        self._nexteos = None\n\n        # Modify data information according to own parameters\n        data.resampling = 1\n        data.replaying = self.replaying\n        data._timeframe = self.p.timeframe\n        data._compression = self.p.compression\n\n        self.data = data\n\n    def _latedata(self, data):\n        # new data at position 0, still untouched from stream\n        if not self.subdays:\n            return False\n\n        # Time already delivered\n        return len(data) > 1 and data.datetime[0] <= data.datetime[-1]\n\n    def _checkbarover(self, data, fromcheck=False, forcedata=None):\n        chkdata = DTFaker(data, forcedata) if fromcheck else data\n\n        isover = False\n        if not self.componly and not self._barover(chkdata):\n            return isover\n\n        if self.subdays and self.p.bar2edge:\n            isover = True\n        elif not fromcheck:  # fromcheck doesn't increase compcount\n            self.compcount += 1\n            if not (self.compcount % self.p.compression):\n                # boundary crossed and enough bars for compression ... proceed\n                isover = True\n\n        return isover\n\n    def _barover(self, data):\n        tframe = self.p.timeframe\n\n        if tframe == TimeFrame.Ticks:\n            # Ticks is already the lowest level\n            return self.bar.isopen()\n\n        elif tframe < TimeFrame.Days:\n            return self._barover_subdays(data)\n\n        elif tframe == TimeFrame.Days:\n            return self._barover_days(data)\n\n        elif tframe == TimeFrame.Weeks:\n            return self._barover_weeks(data)\n\n        elif tframe == TimeFrame.Months:\n            return self._barover_months(data)\n\n        elif tframe == TimeFrame.Years:\n            return self._barover_years(data)\n\n    def _eosset(self):\n        if self._nexteos is None:\n            self._nexteos, self._nextdteos = self.data._getnexteos()\n            return\n\n    def _eoscheck(self, data, seteos=True, exact=False):\n        if seteos:\n            self._eosset()\n\n        equal = data.datetime[0] == self._nextdteos\n        grter = data.datetime[0] > self._nextdteos\n\n        if exact:\n            ret = equal\n        else:\n            # if the compared data goes over the endofsession\n            # make sure the resampled bar is open and has something before that\n            # end of session. It could be a weekend and nothing was delivered\n            # until Monday\n            if grter:\n                ret = (self.bar.isopen() and\n                       self.bar.datetime <= self._nextdteos)\n            else:\n                ret = equal\n\n        if ret:\n            self._lasteos = self._nexteos\n            self._lastdteos = self._nextdteos\n            self._nexteos = None\n            self._nextdteos = float('-inf')\n\n        return ret\n\n    def _barover_days(self, data):\n        return self._eoscheck(data)\n\n    def _barover_weeks(self, data):\n        if self.data._calendar is None:\n            year, week, _ = data.num2date(self.bar.datetime).date().isocalendar()\n            yearweek = year * 100 + week\n\n            baryear, barweek, _ = data.datetime.date().isocalendar()\n            bar_yearweek = baryear * 100 + barweek\n\n            return bar_yearweek > yearweek\n        else:\n            return data._calendar.last_weekday(data.datetime.date())\n\n    def _barover_months(self, data):\n        dt = data.num2date(self.bar.datetime).date()\n        yearmonth = dt.year * 100 + dt.month\n\n        bardt = data.datetime.datetime()\n        bar_yearmonth = bardt.year * 100 + bardt.month\n\n        return bar_yearmonth > yearmonth\n\n    def _barover_years(self, data):\n        return (data.datetime.datetime().year >\n                data.num2date(self.bar.datetime).year)\n\n    def _gettmpoint(self, tm):\n        '''Returns the point of time intraday for a given time according to the\n        timeframe\n\n          - Ex 1: 00:05:00 in minutes -> point = 5\n          - Ex 2: 00:05:20 in seconds -> point = 5 * 60 + 20 = 320\n        '''\n        point = tm.hour * 60 + tm.minute\n        restpoint = 0\n\n        if self.p.timeframe < TimeFrame.Minutes:\n            point = point * 60 + tm.second\n\n            if self.p.timeframe < TimeFrame.Seconds:\n                point = point * 1e6 + tm.microsecond\n            else:\n                restpoint = tm.microsecond\n        else:\n            restpoint = tm.second + tm.microsecond\n\n        point += self.p.boundoff\n\n        return point, restpoint\n\n    def _barover_subdays(self, data):\n        if self._eoscheck(data):\n            return True\n\n        if data.datetime[0] < self.bar.datetime:\n            return False\n\n        # Get time objects for the comparisons - in utc-like format\n        tm = num2date(self.bar.datetime).time()\n        bartm = num2date(data.datetime[0]).time()\n\n        point, _ = self._gettmpoint(tm)\n        barpoint, _ = self._gettmpoint(bartm)\n\n        ret = False\n        if barpoint > point:\n            # The data bar has surpassed the internal bar\n            if not self.p.bar2edge:\n                # Compression done on simple bar basis (like days)\n                ret = True\n            elif self.p.compression == 1:\n                # no bar compression requested -> internal bar done\n                ret = True\n            else:\n                point_comp = point // self.p.compression\n                barpoint_comp = barpoint // self.p.compression\n\n                # Went over boundary including compression\n                if barpoint_comp > point_comp:\n                    ret = True\n\n        return ret\n\n    def check(self, data, _forcedata=None):\n        '''Called to check if the current stored bar has to be delivered in\n        spite of the data not having moved forward. If no ticks from a live\n        feed come in, a 5 second resampled bar could be delivered 20 seconds\n        later. When this method is called the wall clock (incl data time\n        offset) is called to check if the time has gone so far as to have to\n        deliver the already stored data\n        '''\n        if not self.bar.isopen():\n            return\n\n        return self(data, fromcheck=True, forcedata=_forcedata)\n\n    def _dataonedge(self, data):\n        if not self.subweeks:\n            if data._calendar is None:\n                return False, True  # nothing can be done\n\n            tframe = self.p.timeframe\n            ret = False\n            if tframe == TimeFrame.Weeks:  # Ticks is already the lowest\n                ret = data._calendar.last_weekday(data.datetime.date())\n            elif tframe == TimeFrame.Months:\n                ret = data._calendar.last_monthday(data.datetime.date())\n            elif tframe == TimeFrame.Years:\n                ret = data._calendar.last_yearday(data.datetime.date())\n\n            if ret:\n                # Data must be consumed but compression may not be met yet\n                # Prevent barcheckover from being called because it could again\n                # increase compcount\n                docheckover = False\n                self.compcount += 1\n                ret = not (self.compcount % self.p.compression)\n            else:\n                docheckover = True\n\n            return ret, docheckover\n\n        if self._eoscheck(data, exact=True):\n            return True, True\n\n        if self.subdays:\n            point, prest = self._gettmpoint(data.datetime.time())\n            if prest:\n                return False, True  # cannot be on boundary, subunits present\n\n            # Pass through compression to get boundary and rest over boundary\n            bound, brest = divmod(point, self.p.compression)\n\n            # if no extra and decomp bound is point\n            return (brest == 0 and point == (bound * self.p.compression), True)\n\n        # Code overriden by eoscheck\n        if False and self.p.sessionend:\n            # Days scenario - get datetime to compare in output timezone\n            # because p.sessionend is expected in output timezone\n            bdtime = data.datetime.datetime()\n            bsend = datetime.combine(bdtime.date(), data.p.sessionend)\n            return bdtime == bsend\n\n        return False, True  # subweeks, not subdays and not sessionend\n\n    def _calcadjtime(self, greater=False):\n        if self._nexteos is None:\n            # Session has been exceeded - end of session is the mark\n            return self._lastdteos  # utc-like\n\n        dt = self.data.num2date(self.bar.datetime)\n\n        # Get current time\n        tm = dt.time()\n        # Get the point of the day in the time frame unit (ex: minute 200)\n        point, _ = self._gettmpoint(tm)\n\n        # Apply compression to update the point position (comp 5 -> 200 // 5)\n        # point = (point // self.p.compression)\n        point = point // self.p.compression\n\n        # If rightedge (end of boundary is activated) add it unless recursing\n        point += self.p.rightedge\n\n        # Restore point to the timeframe units by de-applying compression\n        point *= self.p.compression\n\n        # Get hours, minutes, seconds and microseconds\n        extradays = 0\n        if self.p.timeframe == TimeFrame.Minutes:\n            ph, pm = divmod(point, 60)\n            ps = 0\n            pus = 0\n        elif self.p.timeframe == TimeFrame.Seconds:\n            ph, pm = divmod(point, 60 * 60)\n            pm, ps = divmod(pm, 60)\n            pus = 0\n        elif self.p.timeframe <= TimeFrame.MicroSeconds:\n            ph, pm = divmod(point, 60 * 60 * 1e6)\n            pm, psec = divmod(pm, 60 * 1e6)\n            ps, pus = divmod(psec, 1e6)\n        elif self.p.timeframe == TimeFrame.Days:\n            # last resort\n            eost = self._nexteos.time()\n            ph = eost.hour\n            pm = eost.minute\n            ps = eost.second\n            pus = eost.microsecond\n\n        if ph > 23:  # went over midnight:\n            extradays = ph // 24\n            ph %= 24\n\n        # Replace intraday parts with the calculated ones and update it\n        dt = dt.replace(hour=int(ph), minute=int(pm),\n                        second=int(ps), microsecond=int(pus))\n        if extradays:\n            dt += timedelta(days=extradays)\n        dtnum = self.data.date2num(dt)\n        return dtnum\n\n    def _adjusttime(self, greater=False, forcedata=None):\n        '''\n        Adjusts the time of calculated bar (from underlying data source) by\n        using the timeframe to the appropriate boundary, with compression taken\n        into account\n\n        Depending on param ``rightedge`` uses the starting boundary or the\n        ending one\n        '''\n        dtnum = self._calcadjtime(greater=greater)\n        if greater and dtnum <= self.bar.datetime:\n            return False\n\n        self.bar.datetime = dtnum\n        return True\n\n\nclass Resampler(_BaseResampler):\n    '''This class resamples data of a given timeframe to a larger timeframe.\n\n    Params\n\n      - bar2edge (default: True)\n\n        resamples using time boundaries as the target. For example with a\n        \"ticks -> 5 seconds\" the resulting 5 seconds bars will be aligned to\n        xx:00, xx:05, xx:10 ...\n\n      - adjbartime (default: True)\n\n        Use the time at the boundary to adjust the time of the delivered\n        resampled bar instead of the last seen timestamp. If resampling to \"5\n        seconds\" the time of the bar will be adjusted for example to hh:mm:05\n        even if the last seen timestamp was hh:mm:04.33\n\n        .. note::\n\n           Time will only be adjusted if \"bar2edge\" is True. It wouldn't make\n           sense to adjust the time if the bar has not been aligned to a\n           boundary\n\n      - rightedge (default: True)\n\n        Use the right edge of the time boundaries to set the time.\n\n        If False and compressing to 5 seconds the time of a resampled bar for\n        seconds between hh:mm:00 and hh:mm:04 will be hh:mm:00 (the starting\n        boundary\n\n        If True the used boundary for the time will be hh:mm:05 (the ending\n        boundary)\n    '''\n    params = (\n        ('bar2edge', True),\n        ('adjbartime', True),\n        ('rightedge', True),\n    )\n\n    replaying = False\n\n    def last(self, data):\n        '''Called when the data is no longer producing bars\n\n        Can be called multiple times. It has the chance to (for example)\n        produce extra bars which may still be accumulated and have to be\n        delivered\n        '''\n        if self.bar.isopen():\n            if self.doadjusttime:\n                self._adjusttime()\n\n            data._add2stack(self.bar.lvalues())\n            self.bar.bstart(maxdate=True)  # close the bar to avoid dups\n            return True\n\n        return False\n\n    def __call__(self, data, fromcheck=False, forcedata=None):\n        '''Called for each set of values produced by the data source'''\n        consumed = False\n        onedge = False\n        docheckover = True\n        if not fromcheck:\n            if self._latedata(data):\n                if not self.p.takelate:\n                    data.backwards()\n                    return True  # get a new bar\n\n                self.bar.bupdate(data)  # update new or existing bar\n                # push time beyond reference\n                self.bar.datetime = data.datetime[-1] + 0.000001\n                data.backwards()  # remove used bar\n                return True\n\n            if self.componly:  # only if not subdays\n                # Get a session ref before rewinding\n                _, self._lastdteos = self.data._getnexteos()\n                consumed = True\n\n            else:\n                onedge, docheckover = self._dataonedge(data)  # for subdays\n                consumed = onedge\n\n        if consumed:\n            self.bar.bupdate(data)  # update new or existing bar\n            data.backwards()  # remove used bar\n\n        # if self.bar.isopen and (onedge or (docheckover and checkbarover))\n        cond = self.bar.isopen()\n        if cond:  # original is and, the 2nd term must also be true\n            if not onedge:  # onedge true is sufficient\n                if docheckover:\n                    cond = self._checkbarover(data, fromcheck=fromcheck,\n                                              forcedata=forcedata)\n        if cond:\n            dodeliver = False\n            if forcedata is not None:\n                # check our delivery time is not larger than that of forcedata\n                tframe = self.p.timeframe\n                if tframe == TimeFrame.Ticks:  # Ticks is already the lowest\n                    dodeliver = True\n                elif tframe == TimeFrame.Minutes:\n                    dtnum = self._calcadjtime(greater=True)\n                    dodeliver = dtnum <= forcedata.datetime[0]\n                elif tframe == TimeFrame.Days:\n                    dtnum = self._calcadjtime(greater=True)\n                    dodeliver = dtnum <= forcedata.datetime[0]\n            else:\n                dodeliver = True\n\n            if dodeliver:\n                if not onedge and self.doadjusttime:\n                    self._adjusttime(greater=True, forcedata=forcedata)\n\n                data._add2stack(self.bar.lvalues())\n                self.bar.bstart(maxdate=True)  # bar delivered -> restart\n\n        if not fromcheck:\n            if not consumed:\n                self.bar.bupdate(data)  # update new or existing bar\n                data.backwards()  # remove used bar\n\n        return True\n\n\nclass Replayer(_BaseResampler):\n    '''This class replays data of a given timeframe to a larger timeframe.\n\n    It simulates the action of the market by slowly building up (for ex.) a\n    daily bar from tick/seconds/minutes data\n\n    Only when the bar is complete will the \"length\" of the data be changed\n    effectively delivering a closed bar\n\n    Params\n\n      - bar2edge (default: True)\n\n        replays using time boundaries as the target of the closed bar. For\n        example with a \"ticks -> 5 seconds\" the resulting 5 seconds bars will\n        be aligned to xx:00, xx:05, xx:10 ...\n\n      - adjbartime (default: False)\n\n        Use the time at the boundary to adjust the time of the delivered\n        resampled bar instead of the last seen timestamp. If resampling to \"5\n        seconds\" the time of the bar will be adjusted for example to hh:mm:05\n        even if the last seen timestamp was hh:mm:04.33\n\n        .. note::\n\n           Time will only be adjusted if \"bar2edge\" is True. It wouldn't make\n           sense to adjust the time if the bar has not been aligned to a\n           boundary\n\n        .. note:: if this parameter is True an extra tick with the *adjusted*\n                  time will be introduced at the end of the *replayed* bar\n\n      - rightedge (default: True)\n\n        Use the right edge of the time boundaries to set the time.\n\n        If False and compressing to 5 seconds the time of a resampled bar for\n        seconds between hh:mm:00 and hh:mm:04 will be hh:mm:00 (the starting\n        boundary\n\n        If True the used boundary for the time will be hh:mm:05 (the ending\n        boundary)\n    '''\n    params = (\n        ('bar2edge', True),\n        ('adjbartime', False),\n        ('rightedge', True),\n    )\n\n    replaying = True\n\n    def __call__(self, data, fromcheck=False, forcedata=None):\n        consumed = False\n        onedge = False\n        takinglate = False\n        docheckover = True\n\n        if not fromcheck:\n            if self._latedata(data):\n                if not self.p.takelate:\n                    data.backwards(force=True)\n                    return True  # get a new bar\n\n                consumed = True\n                takinglate = True\n\n            elif self.componly:  # only if not subdays\n                consumed = True\n\n            else:\n                onedge, docheckover = self._dataonedge(data)  # for subdays\n                consumed = onedge\n\n            data._tick_fill(force=True)  # update\n\n        if consumed:\n            self.bar.bupdate(data)\n            if takinglate:\n                self.bar.datetime = data.datetime[-1] + 0.000001\n\n        # if onedge or (checkbarover and self._checkbarover)\n        cond = onedge\n        if not cond:  # original is or, if true it would suffice\n            if docheckover:\n                cond = self._checkbarover(data, fromcheck=fromcheck)\n        if cond:\n            if not onedge and self.doadjusttime:  # insert tick with adjtime\n                adjusted = self._adjusttime(greater=True)\n                if adjusted:\n                    ago = 0 if (consumed or fromcheck) else -1\n                    # Update to the point right before the new data\n                    data._updatebar(self.bar.lvalues(), forward=False, ago=ago)\n\n                if not fromcheck:\n                    if not consumed:\n                        # Reopen bar with real new data and save data to queue\n                        self.bar.bupdate(data, reopen=True)\n                        # erase is True, but the tick will not be seen below\n                        # and therefore no need to mark as 1st\n                        data._save2stack(erase=True, force=True)\n                    else:\n                        self.bar.bstart(maxdate=True)\n                        self._firstbar = True  # next is first\n                else:  # from check\n                    # fromcheck or consumed have  forced delivery, reopen\n                    self.bar.bstart(maxdate=True)\n                    self._firstbar = True  # next is first\n                    if adjusted:\n                        # after adjusting need to redeliver if this was a check\n                        data._save2stack(erase=True, force=True)\n\n            elif not fromcheck:\n                if not consumed:\n                    # Data already \"forwarded\" and we replay to new bar\n                    # No need to go backwards. simply reopen internal cache\n                    self.bar.bupdate(data, reopen=True)\n                else:\n                    # compression only, used data to update bar, hence remove\n                    # from stream, update existing data, reopen bar\n                    if not self._firstbar:  # only discard data if not firstbar\n                        data.backwards(force=True)\n                    data._updatebar(self.bar.lvalues(), forward=False, ago=0)\n                    self.bar.bstart(maxdate=True)\n                    self._firstbar = True  # make sure next tick moves forward\n\n        elif not fromcheck:\n            # not over, update, remove new entry, deliver\n            if not consumed:\n                self.bar.bupdate(data)\n\n            if not self._firstbar:  # only discard data if not firstbar\n                data.backwards(force=True)\n\n            data._updatebar(self.bar.lvalues(), forward=False, ago=0)\n            self._firstbar = False\n\n        return False  # the existing bar can be processed by the system\n\n\nclass ResamplerTicks(Resampler):\n    params = (('timeframe', TimeFrame.Ticks),)\n\n\nclass ResamplerSeconds(Resampler):\n    params = (('timeframe', TimeFrame.Seconds),)\n\n\nclass ResamplerMinutes(Resampler):\n    params = (('timeframe', TimeFrame.Minutes),)\n\n\nclass ResamplerDaily(Resampler):\n    params = (('timeframe', TimeFrame.Days),)\n\n\nclass ResamplerWeekly(Resampler):\n    params = (('timeframe', TimeFrame.Weeks),)\n\n\nclass ResamplerMonthly(Resampler):\n    params = (('timeframe', TimeFrame.Months),)\n\n\nclass ResamplerYearly(Resampler):\n    params = (('timeframe', TimeFrame.Years),)\n\n\nclass ReplayerTicks(Replayer):\n    params = (('timeframe', TimeFrame.Ticks),)\n\n\nclass ReplayerSeconds(Replayer):\n    params = (('timeframe', TimeFrame.Seconds),)\n\n\nclass ReplayerMinutes(Replayer):\n    params = (('timeframe', TimeFrame.Minutes),)\n\n\nclass ReplayerDaily(Replayer):\n    params = (('timeframe', TimeFrame.Days),)\n\n\nclass ReplayerWeekly(Replayer):\n    params = (('timeframe', TimeFrame.Weeks),)\n\n\nclass ReplayerMonthly(Replayer):\n    params = (('timeframe', TimeFrame.Months),)\n"
  },
  {
    "path": "backtrader/signal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n(\n\n    SIGNAL_NONE,\n    SIGNAL_LONGSHORT,\n    SIGNAL_LONG,\n    SIGNAL_LONG_INV,\n    SIGNAL_LONG_ANY,\n    SIGNAL_SHORT,\n    SIGNAL_SHORT_INV,\n    SIGNAL_SHORT_ANY,\n    SIGNAL_LONGEXIT,\n    SIGNAL_LONGEXIT_INV,\n    SIGNAL_LONGEXIT_ANY,\n    SIGNAL_SHORTEXIT,\n    SIGNAL_SHORTEXIT_INV,\n    SIGNAL_SHORTEXIT_ANY,\n\n) = range(14)\n\n\nSignalTypes = [\n    SIGNAL_NONE,\n    SIGNAL_LONGSHORT,\n    SIGNAL_LONG, SIGNAL_LONG_INV, SIGNAL_LONG_ANY,\n    SIGNAL_SHORT, SIGNAL_SHORT_INV, SIGNAL_SHORT_ANY,\n    SIGNAL_LONGEXIT, SIGNAL_LONGEXIT_INV, SIGNAL_LONGEXIT_ANY,\n    SIGNAL_SHORTEXIT, SIGNAL_SHORTEXIT_INV, SIGNAL_SHORTEXIT_ANY\n]\n\n\nclass Signal(bt.Indicator):\n    SignalTypes = SignalTypes\n\n    lines = ('signal',)\n\n    def __init__(self):\n        self.lines.signal = self.data0.lines[0]\n        self.plotinfo.plotmaster = getattr(self.data0, '_clock', self.data0)\n"
  },
  {
    "path": "backtrader/signals/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n"
  },
  {
    "path": "backtrader/sizer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom .utils.py3 import with_metaclass\n\nfrom .metabase import MetaParams\n\n\nclass Sizer(with_metaclass(MetaParams, object)):\n    '''This is the base class for *Sizers*. Any *sizer* should subclass this\n    and override the ``_getsizing`` method\n\n    Member Attribs:\n\n      - ``strategy``: will be set by the strategy in which the sizer is working\n\n        Gives access to the entire api of the strategy, for example if the\n        actual data position would be needed in ``_getsizing``::\n\n           position = self.strategy.getposition(data)\n\n      - ``broker``: will be set by the strategy in which the sizer is working\n\n        Gives access to information some complex sizers may need like portfolio\n        value, ..\n    '''\n    strategy = None\n    broker = None\n\n    def getsizing(self, data, isbuy):\n        comminfo = self.broker.getcommissioninfo(data)\n        return self._getsizing(comminfo, self.broker.getcash(), data, isbuy)\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        '''This method has to be overriden by subclasses of Sizer to provide\n        the sizing functionality\n\n        Params:\n          - ``comminfo``: The CommissionInfo instance that contains\n            information about the commission for the data and allows\n            calculation of position value, operation cost, commision for the\n            operation\n\n          - ``cash``: current available cash in the *broker*\n\n          - ``data``: target of the operation\n\n          - ``isbuy``: will be ``True`` for *buy* operations and ``False``\n            for *sell* operations\n\n        The method has to return the actual size (an int) to be executed. If\n        ``0`` is returned nothing will be executed.\n\n        The absolute value of the returned value will be used\n\n        '''\n        raise NotImplementedError\n\n    def set(self, strategy, broker):\n        self.strategy = strategy\n        self.broker = broker\n\n\nSizerBase = Sizer  # alias for old naming\n"
  },
  {
    "path": "backtrader/sizers/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the objects wishes\n# or prepend an \"_\" (underscore) to private classes/variables\n\nfrom .fixedsize import *\nfrom .percents_sizer import *\n"
  },
  {
    "path": "backtrader/sizers/fixedsize.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n\nclass FixedSize(bt.Sizer):\n    '''\n    This sizer simply returns a fixed size for any operation.\n    Size can be controlled by number of tranches that a system\n    wishes to use to scale into trades by specifying the ``tranches``\n    parameter.\n\n\n    Params:\n      - ``stake`` (default: ``1``)\n      - ``tranches`` (default: ``1``)\n    '''\n\n    params = (('stake', 1),\n              ('tranches', 1))\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        if self.p.tranches > 1:\n            return abs(int(self.p.stake / self.p.tranches))\n        else:\n            return self.p.stake\n\n    def setsizing(self, stake):\n        if self.p.tranches > 1:\n            self.p.stake = abs(int(self.p.stake / self.p.tranches))\n        else:\n            self.p.stake = stake  # OLD METHOD FOR SAMPLE COMPATIBILITY\n\n\nSizerFix = FixedSize\n\n\nclass FixedReverser(bt.Sizer):\n    '''This sizer returns the needes fixed size to reverse an open position or\n    the fixed size to open one\n\n      - To open a position: return the param ``stake``\n\n      - To reverse a position: return 2 * ``stake``\n\n    Params:\n      - ``stake`` (default: ``1``)\n    '''\n    params = (('stake', 1),)\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        position = self.strategy.getposition(data)\n        size = self.p.stake * (1 + (position.size != 0))\n        return size\n\n\nclass FixedSizeTarget(bt.Sizer):\n    '''\n    This sizer simply returns a fixed target size, useful when coupled\n    with Target Orders and specifically ``cerebro.target_order_size()``.\n    Size can be controlled by number of tranches that a system\n    wishes to use to scale into trades by specifying the ``tranches``\n    parameter.\n\n\n    Params:\n      - ``stake`` (default: ``1``)\n      - ``tranches`` (default: ``1``)\n    '''\n\n    params = (('stake', 1),\n              ('tranches', 1))\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        if self.p.tranches > 1:\n            size = abs(int(self.p.stake / self.p.tranches))\n            return min((self.strategy.position.size + size), self.p.stake)\n        else:\n            return self.p.stake\n\n    def setsizing(self, stake):\n        if self.p.tranches > 1:\n            size = abs(int(self.p.stake / self.p.tranches))\n            self.p.stake = min((self.strategy.position.size + size),\n                               self.p.stake)\n        else:\n            self.p.stake = stake  # OLD METHOD FOR SAMPLE COMPATIBILITY\n"
  },
  {
    "path": "backtrader/sizers/percents_sizer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\n__all__ = ['PercentSizer', 'AllInSizer', 'PercentSizerInt', 'AllInSizerInt']\n\n\nclass PercentSizer(bt.Sizer):\n    '''This sizer return percents of available cash\n\n    Params:\n      - ``percents`` (default: ``20``)\n    '''\n\n    params = (\n        ('percents', 20),\n        ('retint', False),  # return an int size or rather the float value\n    )\n\n    def __init__(self):\n        pass\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        position = self.broker.getposition(data)\n        if not position:\n            size = cash / data.close[0] * (self.params.percents / 100)\n        else:\n            size = position.size\n\n        if self.p.retint:\n            size = int(size)\n\n        return size\n\n\nclass AllInSizer(PercentSizer):\n    '''This sizer return all available cash of broker\n\n     Params:\n       - ``percents`` (default: ``100``)\n     '''\n    params = (\n        ('percents', 100),\n    )\n\n\nclass PercentSizerInt(PercentSizer):\n    '''This sizer return percents of available cash in form of size truncated\n    to an int\n\n    Params:\n      - ``percents`` (default: ``20``)\n    '''\n\n    params = (\n        ('retint', True),  # return an int size or rather the float value\n    )\n\n\nclass AllInSizerInt(PercentSizerInt):\n    '''This sizer return all available cash of broker with the\n    size truncated to an int\n\n     Params:\n       - ``percents`` (default: ``100``)\n     '''\n    params = (\n        ('percents', 100),\n    )\n"
  },
  {
    "path": "backtrader/store.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\n\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import with_metaclass\n\n\nclass MetaSingleton(MetaParams):\n    '''Metaclass to make a metaclassed class a singleton'''\n    def __init__(cls, name, bases, dct):\n        super(MetaSingleton, cls).__init__(name, bases, dct)\n        cls._singleton = None\n\n    def __call__(cls, *args, **kwargs):\n        if cls._singleton is None:\n            cls._singleton = (\n                super(MetaSingleton, cls).__call__(*args, **kwargs))\n\n        return cls._singleton\n\n\nclass Store(with_metaclass(MetaSingleton, object)):\n    '''Base class for all Stores'''\n\n    _started = False\n\n    params = ()\n\n    def getdata(self, *args, **kwargs):\n        '''Returns ``DataCls`` with args, kwargs'''\n        data = self.DataCls(*args, **kwargs)\n        data._store = self\n        return data\n\n    @classmethod\n    def getbroker(cls, *args, **kwargs):\n        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''\n        broker = cls.BrokerCls(*args, **kwargs)\n        broker._store = cls\n        return broker\n\n    BrokerCls = None  # broker class will autoregister\n    DataCls = None  # data class will auto register\n\n    def start(self, data=None, broker=None):\n        if not self._started:\n            self._started = True\n            self.notifs = collections.deque()\n            self.datas = list()\n            self.broker = None\n\n        if data is not None:\n            self._cerebro = self._env = data._env\n            self.datas.append(data)\n\n            if self.broker is not None:\n                if hasattr(self.broker, 'data_started'):\n                    self.broker.data_started(data)\n\n        elif broker is not None:\n            self.broker = broker\n\n    def stop(self):\n        pass\n\n    def put_notification(self, msg, *args, **kwargs):\n        self.notifs.append((msg, args, kwargs))\n\n    def get_notifications(self):\n        '''Return the pending \"store\" notifications'''\n        self.notifs.append(None)  # put a mark / threads could still append\n        return [x for x in iter(self.notifs.popleft, None)]\n"
  },
  {
    "path": "backtrader/stores/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the objects wishes\n# or prepend an \"_\" (underscore) to private classes/variables\n\ntry:\n    from .ibstore import IBStore\nexcept ImportError:\n    pass  # The user may not have ibpy installed\n\ntry:\n    from .vcstore import VCStore\nexcept ImportError:\n    pass  # The user may not have a module installed\n\ntry:\n    from .oandastore import OandaStore\nexcept ImportError:\n    pass  # The user may not have a module installed\n\n\nfrom .vchartfile import VChartFile\n"
  },
  {
    "path": "backtrader/stores/ibstore.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom copy import copy\nfrom datetime import date, datetime, timedelta\nimport inspect\nimport itertools\nimport random\nimport threading\nimport time\n\nfrom ib.ext.Contract import Contract\nimport ib.opt as ibopt\n\nfrom backtrader import TimeFrame, Position\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import bytes, bstr, queue, with_metaclass, long\nfrom backtrader.utils import AutoDict, UTC\n\nbytes = bstr  # py2/3 need for ibpy\n\n\ndef _ts2dt(tstamp=None):\n    # Transforms a RTVolume timestamp to a datetime object\n    if not tstamp:\n        return datetime.utcnow()\n\n    sec, msec = divmod(long(tstamp), 1000)\n    usec = msec * 1000\n    return datetime.utcfromtimestamp(sec).replace(microsecond=usec)\n\n\nclass RTVolume(object):\n    '''Parses a tickString tickType 48 (RTVolume) event from the IB API into its\n    constituent fields\n\n    Supports using a \"price\" to simulate an RTVolume from a tickPrice event\n    '''\n    _fields = [\n        ('price', float),\n        ('size', int),\n        ('datetime', _ts2dt),\n        ('volume', int),\n        ('vwap', float),\n        ('single', bool)\n    ]\n\n    def __init__(self, rtvol='', price=None, tmoffset=None):\n        # Use a provided string or simulate a list of empty tokens\n        tokens = iter(rtvol.split(';'))\n\n        # Put the tokens as attributes using the corresponding func\n        for name, func in self._fields:\n            setattr(self, name, func(next(tokens)) if rtvol else func())\n\n        # If price was provided use it\n        if price is not None:\n            self.price = price\n\n        if tmoffset is not None:\n            self.datetime += tmoffset\n\n\nclass MetaSingleton(MetaParams):\n    '''Metaclass to make a metaclassed class a singleton'''\n    def __init__(cls, name, bases, dct):\n        super(MetaSingleton, cls).__init__(name, bases, dct)\n        cls._singleton = None\n\n    def __call__(cls, *args, **kwargs):\n        if cls._singleton is None:\n            cls._singleton = (\n                super(MetaSingleton, cls).__call__(*args, **kwargs))\n\n        return cls._singleton\n\n\n# Decorator to mark methods to register with ib.opt\ndef ibregister(f):\n    f._ibregister = True\n    return f\n\n\nclass IBStore(with_metaclass(MetaSingleton, object)):\n    '''Singleton class wrapping an ibpy ibConnection instance.\n\n    The parameters can also be specified in the classes which use this store,\n    like ``IBData`` and ``IBBroker``\n\n    Params:\n\n      - ``host`` (default:``127.0.0.1``): where IB TWS or IB Gateway are\n        actually running. And although this will usually be the localhost, it\n        must not be\n\n      - ``port`` (default: ``7496``): port to connect to. The demo system uses\n        ``7497``\n\n      - ``clientId`` (default: ``None``): which clientId to use to connect to\n        TWS.\n\n        ``None``: generates a random id between 1 and 65535\n        An ``integer``: will be passed as the value to use.\n\n      - ``notifyall`` (default: ``False``)\n\n        If ``False`` only ``error`` messages will be sent to the\n        ``notify_store`` methods of ``Cerebro`` and ``Strategy``.\n\n        If ``True``, each and every message received from TWS will be notified\n\n      - ``_debug`` (default: ``False``)\n\n        Print all messages received from TWS to standard output\n\n      - ``reconnect`` (default: ``3``)\n\n        Number of attempts to try to reconnect after the 1st connection attempt\n        fails\n\n        Set it to a ``-1`` value to keep on reconnecting forever\n\n      - ``timeout`` (default: ``3.0``)\n\n        Time in seconds between reconnection attemps\n\n      - ``timeoffset`` (default: ``True``)\n\n        If True, the time obtained from ``reqCurrentTime`` (IB Server time)\n        will be used to calculate the offset to localtime and this offset will\n        be used for the price notifications (tickPrice events, for example for\n        CASH markets) to modify the locally calculated timestamp.\n\n        The time offset will propagate to other parts of the ``backtrader``\n        ecosystem like the **resampling** to align resampling timestamps using\n        the calculated offset.\n\n      - ``timerefresh`` (default: ``60.0``)\n\n        Time in seconds: how often the time offset has to be refreshed\n\n      - ``indcash`` (default: ``True``)\n\n        Manage IND codes as if they were cash for price retrieval\n    '''\n\n    # Set a base for the data requests (historical/realtime) to distinguish the\n    # id in the error notifications from orders, where the basis (usually\n    # starting at 1) is set by TWS\n    REQIDBASE = 0x01000000\n\n    BrokerCls = None  # broker class will autoregister\n    DataCls = None  # data class will auto register\n\n    params = (\n        ('host', '127.0.0.1'),\n        ('port', 7496),\n        ('clientId', None),  # None generates a random clientid 1 -> 2^16\n        ('notifyall', False),\n        ('_debug', False),\n        ('reconnect', 3),  # -1 forever, 0 No, > 0 number of retries\n        ('timeout', 3.0),  # timeout between reconnections\n        ('timeoffset', True),  # Use offset to server for timestamps if needed\n        ('timerefresh', 60.0),  # How often to refresh the timeoffset\n        ('indcash', True),  # Treat IND codes as CASH elements\n    )\n\n    @classmethod\n    def getdata(cls, *args, **kwargs):\n        '''Returns ``DataCls`` with args, kwargs'''\n        return cls.DataCls(*args, **kwargs)\n\n    @classmethod\n    def getbroker(cls, *args, **kwargs):\n        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''\n        return cls.BrokerCls(*args, **kwargs)\n\n    def __init__(self):\n        super(IBStore, self).__init__()\n\n        self._lock_q = threading.Lock()  # sync access to _tickerId/Queues\n        self._lock_accupd = threading.Lock()  # sync account updates\n        self._lock_pos = threading.Lock()  # sync account updates\n        self._lock_notif = threading.Lock()  # sync access to notif queue\n\n        # Account list received\n        self._event_managed_accounts = threading.Event()\n        self._event_accdownload = threading.Event()\n\n        self.dontreconnect = False  # for non-recoverable connect errors\n\n        self._env = None  # reference to cerebro for general notifications\n        self.broker = None  # broker instance\n        self.datas = list()  # datas that have registered over start\n        self.ccount = 0  # requests to start (from cerebro or datas)\n\n        self._lock_tmoffset = threading.Lock()\n        self.tmoffset = timedelta()  # to control time difference with server\n\n        # Structures to hold datas requests\n        self.qs = collections.OrderedDict()  # key: tickerId -> queues\n        self.ts = collections.OrderedDict()  # key: queue -> tickerId\n        self.iscash = dict()  # tickerIds from cash products (for ex: EUR.JPY)\n\n        self.histexreq = dict()  # holds segmented historical requests\n        self.histfmt = dict()  # holds datetimeformat for request\n        self.histsend = dict()  # holds sessionend (data time) for request\n        self.histtz = dict()  # holds sessionend (data time) for request\n\n        self.acc_cash = AutoDict()  # current total cash per account\n        self.acc_value = AutoDict()  # current total value per account\n        self.acc_upds = AutoDict()  # current account valueinfos per account\n\n        self.port_update = False  # indicate whether to signal to broker\n\n        self.positions = collections.defaultdict(Position)  # actual positions\n\n        self._tickerId = itertools.count(self.REQIDBASE)  # unique tickerIds\n        self.orderid = None  # next possible orderid (will be itertools.count)\n\n        self.cdetails = collections.defaultdict(list)  # hold cdetails requests\n\n        self.managed_accounts = list()  # received via managedAccounts\n\n        self.notifs = queue.Queue()  # store notifications for cerebro\n\n        # Use the provided clientId or a random one\n        if self.p.clientId is None:\n            self.clientId = random.randint(1, pow(2, 16) - 1)\n        else:\n            self.clientId = self.p.clientId\n\n        # ibpy connection object\n        self.conn = ibopt.ibConnection(\n            host=self.p.host, port=self.p.port, clientId=self.clientId)\n\n        # register a printall method if requested\n        if self.p._debug or self.p.notifyall:\n            self.conn.registerAll(self.watcher)\n\n        # Register decorated methods with the conn\n        methods = inspect.getmembers(self, inspect.ismethod)\n        for name, method in methods:\n            if not getattr(method, '_ibregister', False):\n                continue\n\n            message = getattr(ibopt.message, name)\n            self.conn.register(method, message)\n\n        # This utility key function transforms a barsize into a:\n        #   (Timeframe, Compression) tuple which can be sorted\n        def keyfn(x):\n            n, t = x.split()\n            tf, comp = self._sizes[t]\n            return (tf, int(n) * comp)\n\n        # This utility key function transforms a duration into a:\n        #   (Timeframe, Compression) tuple which can be sorted\n        def key2fn(x):\n            n, d = x.split()\n            tf = self._dur2tf[d]\n            return (tf, int(n))\n\n        # Generate a table of reverse durations\n        self.revdur = collections.defaultdict(list)\n        # The table (dict) is a ONE to MANY relation of\n        #   duration -> barsizes\n        # Here it is reversed to get a ONE to MANY relation of\n        #   barsize -> durations\n        for duration, barsizes in self._durations.items():\n            for barsize in barsizes:\n                self.revdur[keyfn(barsize)].append(duration)\n\n        # Once managed, sort the durations according to real duration and not\n        # to the text form using the utility key above\n        for barsize in self.revdur:\n            self.revdur[barsize].sort(key=key2fn)\n\n    def start(self, data=None, broker=None):\n        self.reconnect(fromstart=True)  # reconnect should be an invariant\n\n        # Datas require some processing to kickstart data reception\n        if data is not None:\n            self._env = data._env\n            # For datas simulate a queue with None to kickstart co\n            self.datas.append(data)\n\n            # if connection fails, get a fake registration that will force the\n            # datas to try to reconnect or else bail out\n            return self.getTickerQueue(start=True)\n\n        elif broker is not None:\n            self.broker = broker\n\n    def stop(self):\n        try:\n            self.conn.disconnect()  # disconnect should be an invariant\n        except AttributeError:\n            pass    # conn may have never been connected and lack \"disconnect\"\n\n        # Unblock any calls set on these events\n        self._event_managed_accounts.set()\n        self._event_accdownload.set()\n\n    def logmsg(self, *args):\n        # for logging purposes\n        if self.p._debug:\n            print(*args)\n\n    def watcher(self, msg):\n        # will be registered to see all messages if debug is requested\n        self.logmsg(str(msg))\n        if self.p.notifyall:\n            self.notifs.put((msg, tuple(msg.values()), dict(msg.items())))\n\n    def connected(self):\n        # The isConnected method is available through __getattr__ indirections\n        # and may not be present, which indicates that no connection has been\n        # made because the subattribute sender has not yet been created, hence\n        # the check for the AttributeError exception\n        try:\n            return self.conn.isConnected()\n        except AttributeError:\n            pass\n\n        return False  # non-connected (including non-initialized)\n\n    def reconnect(self, fromstart=False, resub=False):\n        # This method must be an invariant in that it can be called several\n        # times from the same source and must be consistent. An exampler would\n        # be 5 datas which are being received simultaneously and all request a\n        # reconnect\n\n        # Policy:\n        #  - if dontreconnect has been set, no option to connect is possible\n        #  - check connection and use the absence of isConnected as signal of\n        #    first ever connection (add 1 to retries too)\n        #  - Calculate the retries (forever or not)\n        #  - Try to connct\n        #  - If achieved and fromstart is false, the datas will be\n        #    re-kickstarted to recreate the subscription\n        firstconnect = False\n        try:\n            if self.conn.isConnected():\n                if resub:\n                    self.startdatas()\n                return True  # nothing to do\n        except AttributeError:\n            # Not connected, several __getattr__ indirections to\n            # self.conn.sender.client.isConnected\n            firstconnect = True\n\n        if self.dontreconnect:\n            return False\n\n        # This is only invoked from the main thread by datas and therefore no\n        # lock is needed to control synchronicity to it\n        retries = self.p.reconnect\n        if retries >= 0:\n            retries += firstconnect\n\n        while retries < 0 or retries:\n            if not firstconnect:\n                time.sleep(self.p.timeout)\n\n            firstconnect = False\n\n            if self.conn.connect():\n                if not fromstart or resub:\n                    self.startdatas()\n                return True  # connection successful\n\n            if retries > 0:\n                retries -= 1\n\n        self.dontreconnect = True\n        return False  # connection/reconnection failed\n\n    def startdatas(self):\n        # kickstrat datas, not returning until all of them have been done\n        ts = list()\n        for data in self.datas:\n            t = threading.Thread(target=data.reqdata)\n            t.start()\n            ts.append(t)\n\n        for t in ts:\n            t.join()\n\n    def stopdatas(self):\n        # stop subs and force datas out of the loop (in LIFO order)\n        qs = list(self.qs.values())\n        ts = list()\n        for data in self.datas:\n            t = threading.Thread(target=data.canceldata)\n            t.start()\n            ts.append(t)\n\n        for t in ts:\n            t.join()\n\n        for q in reversed(qs):  # datamaster the last one to get a None\n            q.put(None)\n\n    def get_notifications(self):\n        '''Return the pending \"store\" notifications'''\n        # The background thread could keep on adding notifications. The None\n        # mark allows to identify which is the last notification to deliver\n        self.notifs.put(None)  # put a mark\n        notifs = list()\n        while True:\n            notif = self.notifs.get()\n            if notif is None:  # mark is reached\n                break\n            notifs.append(notif)\n\n        return notifs\n\n    @ibregister\n    def error(self, msg):\n        # 100-199 Order/Data/Historical related\n        # 200-203 tickerId and Order Related\n        # 300-399 A mix of things: orders, connectivity, tickers, misc errors\n        # 400-449 Seem order related again\n        # 500-531 Connectivity/Communication Errors\n        # 10000-100027 Mix of special orders/routing\n        # 1100-1102 TWS connectivy to the outside\n        # 1300- Socket dropped in client-TWS communication\n        # 2100-2110 Informative about Data Farm status (id=-1)\n\n        # All errors are logged to the environment (cerebro), because many\n        # errors in Interactive Brokers are actually informational and many may\n        # actually be of interest to the user\n        if not self.p.notifyall:\n            self.notifs.put((msg, tuple(msg.values()), dict(msg.items())))\n\n        # Manage those events which have to do with connection\n        if msg.errorCode is None:\n            # Usually received as an error in connection of just before disconn\n            pass\n        elif msg.errorCode in [200, 203, 162, 320, 321, 322]:\n            # cdetails 200 security not found, notify over right queue\n            # cdetails 203 security not allowed for acct\n            try:\n                q = self.qs[msg.id]\n            except KeyError:\n                pass  # should not happend but it can\n            else:\n                self.cancelQueue(q, True)\n\n        elif msg.errorCode in [354, 420]:\n            # 354 no subscription, 420 no real-time bar for contract\n            # the calling data to let the data know ... it cannot resub\n            try:\n                q = self.qs[msg.id]\n            except KeyError:\n                pass  # should not happend but it can\n            else:\n                q.put(-msg.errorCode)\n                self.cancelQueue(q)\n\n        elif msg.errorCode == 10225:\n            # 10225-Bust event occurred, current subscription is deactivated.\n            # Please resubscribe real-time bars immediately.\n            try:\n                q = self.qs[msg.id]\n            except KeyError:\n                pass  # should not happend but it can\n            else:\n                q.put(-msg.errorCode)\n\n        elif msg.errorCode == 326:  # not recoverable, clientId in use\n            self.dontreconnect = True\n            self.conn.disconnect()\n            self.stopdatas()\n\n        elif msg.errorCode == 502:\n            # Cannot connect to TWS: port, config not open, tws off (504 then)\n            self.conn.disconnect()\n            self.stopdatas()\n\n        elif msg.errorCode == 504:  # Not Connected for data op\n            # Once for each data\n            pass  # don't need to manage it\n\n        elif msg.errorCode == 1300:\n            # TWS has been closed. The port for a new connection is there\n            # newport = int(msg.errorMsg.split('-')[-1])  # bla bla bla -7496\n            self.conn.disconnect()\n            self.stopdatas()\n\n        elif msg.errorCode == 1100:\n            # Connection lost - Notify ... datas will wait on the queue\n            # with no messages arriving\n            for q in self.ts:  # key: queue -> ticker\n                q.put(-msg.errorCode)\n\n        elif msg.errorCode == 1101:\n            # Connection restored and tickerIds are gone\n            for q in self.ts:  # key: queue -> ticker\n                q.put(-msg.errorCode)\n\n        elif msg.errorCode == 1102:\n            # Connection restored and tickerIds maintained\n            for q in self.ts:  # key: queue -> ticker\n                q.put(-msg.errorCode)\n\n        elif msg.errorCode < 500:\n            # Given the myriad of errorCodes, start by assuming is an order\n            # error and if not, the checks there will let it go\n            if msg.id < self.REQIDBASE:\n                if self.broker is not None:\n                    self.broker.push_ordererror(msg)\n            else:\n                # Cancel the queue if a \"data\" reqId error is given: sanity\n                q = self.qs[msg.id]\n                self.cancelQueue(q, True)\n\n    @ibregister\n    def connectionClosed(self, msg):\n        # Sometmes this comes without 1300/502 or any other and will not be\n        # seen in error hence the need to manage the situation independently\n        self.conn.disconnect()\n        self.stopdatas()\n\n    @ibregister\n    def managedAccounts(self, msg):\n        # 1st message in the stream\n        self.managed_accounts = msg.accountsList.split(',')\n        self._event_managed_accounts.set()\n\n        # Request time to avoid synchronization issues\n        self.reqCurrentTime()\n\n    def reqCurrentTime(self):\n        self.conn.reqCurrentTime()\n\n    @ibregister\n    def currentTime(self, msg):\n        if not self.p.timeoffset:  # only if requested ... apply timeoffset\n            return\n        curtime = datetime.fromtimestamp(float(msg.time))\n        with self._lock_tmoffset:\n            self.tmoffset = curtime - datetime.now()\n\n        threading.Timer(self.p.timerefresh, self.reqCurrentTime).start()\n\n    def timeoffset(self):\n        with self._lock_tmoffset:\n            return self.tmoffset\n\n    def nextTickerId(self):\n        # Get the next ticker using next on the itertools.count\n        return next(self._tickerId)\n\n    @ibregister\n    def nextValidId(self, msg):\n        # Create a counter from the TWS notified value to apply to orders\n        self.orderid = itertools.count(msg.orderId)\n\n    def nextOrderId(self):\n        # Get the next ticker using next on the itertools.count made with the\n        # notified value from TWS\n        return next(self.orderid)\n\n    def reuseQueue(self, tickerId):\n        '''Reuses queue for tickerId, returning the new tickerId and q'''\n        with self._lock_q:\n            # Invalidate tickerId in qs (where it is a key)\n            q = self.qs.pop(tickerId, None)  # invalidate old\n            iscash = self.iscash.pop(tickerId, None)\n\n            # Update ts: q -> ticker\n            tickerId = self.nextTickerId()  # get new tickerId\n            self.ts[q] = tickerId  # Update ts: q -> tickerId\n            self.qs[tickerId] = q  # Update qs: tickerId -> q\n            self.iscash[tickerId] = iscash\n\n        return tickerId, q\n\n    def getTickerQueue(self, start=False):\n        '''Creates ticker/Queue for data delivery to a data feed'''\n        q = queue.Queue()\n        if start:\n            q.put(None)\n            return q\n\n        with self._lock_q:\n            tickerId = self.nextTickerId()\n            self.qs[tickerId] = q  # can be managed from other thread\n            self.ts[q] = tickerId\n            self.iscash[tickerId] = False\n\n        return tickerId, q\n\n    def cancelQueue(self, q, sendnone=False):\n        '''Cancels a Queue for data delivery'''\n        # pop ts (tickers) and with the result qs (queues)\n        tickerId = self.ts.pop(q, None)\n        self.qs.pop(tickerId, None)\n\n        self.iscash.pop(tickerId, None)\n\n        if sendnone:\n            q.put(None)\n\n    def validQueue(self, q):\n        '''Returns (bool)  if a queue is still valid'''\n        return q in self.ts  # queue -> ticker\n\n    def getContractDetails(self, contract, maxcount=None):\n        cds = list()\n        q = self.reqContractDetails(contract)\n        while True:\n            msg = q.get()\n            if msg is None:\n                break\n            cds.append(msg)\n\n        if not cds or (maxcount and len(cds) > maxcount):\n            err = 'Ambiguous contract: none/multiple answers received'\n            self.notifs.put((err, cds, {}))\n            return None\n\n        return cds\n\n    def reqContractDetails(self, contract):\n        # get a ticker/queue for identification/data delivery\n        tickerId, q = self.getTickerQueue()\n        self.conn.reqContractDetails(tickerId, contract)\n        return q\n\n    @ibregister\n    def contractDetailsEnd(self, msg):\n        '''Signal end of contractdetails'''\n        self.cancelQueue(self.qs[msg.reqId], True)\n\n    @ibregister\n    def contractDetails(self, msg):\n        '''Receive answer and pass it to the queue'''\n        self.qs[msg.reqId].put(msg)\n\n    def reqHistoricalDataEx(self, contract, enddate, begindate,\n                            timeframe, compression,\n                            what=None, useRTH=False, tz='', sessionend=None,\n                            tickerId=None):\n        '''\n        Extension of the raw reqHistoricalData proxy, which takes two dates\n        rather than a duration, barsize and date\n\n        It uses the IB published valid duration/barsizes to make a mapping and\n        spread a historical request over several historical requests if needed\n        '''\n        # Keep a copy for error reporting purposes\n        kwargs = locals().copy()\n        kwargs.pop('self', None)  # remove self, no need to report it\n\n        if timeframe < TimeFrame.Seconds:\n            # Ticks are not supported\n            return self.getTickerQueue(start=True)\n\n        if enddate is None:\n            enddate = datetime.now()\n\n        if begindate is None:\n            duration = self.getmaxduration(timeframe, compression)\n            if duration is None:\n                err = ('No duration for historical data request for '\n                       'timeframe/compresison')\n                self.notifs.put((err, (), kwargs))\n                return self.getTickerQueue(start=True)\n            barsize = self.tfcomp_to_size(timeframe, compression)\n            if barsize is None:\n                err = ('No supported barsize for historical data request for '\n                       'timeframe/compresison')\n                self.notifs.put((err, (), kwargs))\n                return self.getTickerQueue(start=True)\n\n            return self.reqHistoricalData(contract=contract, enddate=enddate,\n                                          duration=duration, barsize=barsize,\n                                          what=what, useRTH=useRTH, tz=tz,\n                                          sessionend=sessionend)\n\n        # Check if the requested timeframe/compression is supported by IB\n        durations = self.getdurations(timeframe, compression)\n        if not durations:  # return a queue and put a None in it\n            return self.getTickerQueue(start=True)\n\n        # Get or reuse a queue\n        if tickerId is None:\n            tickerId, q = self.getTickerQueue()\n        else:\n            tickerId, q = self.reuseQueue(tickerId)  # reuse q for old tickerId\n\n        # Get the best possible duration to reduce number of requests\n        duration = None\n        for dur in durations:\n            intdate = self.dt_plus_duration(begindate, dur)\n            if intdate >= enddate:\n                intdate = enddate\n                duration = dur  # begin -> end fits in single request\n                break\n\n        if duration is None:  # no duration large enough to fit the request\n            duration = durations[-1]\n\n            # Store the calculated data\n            self.histexreq[tickerId] = dict(\n                contract=contract, enddate=enddate, begindate=intdate,\n                timeframe=timeframe, compression=compression,\n                what=what, useRTH=useRTH, tz=tz, sessionend=sessionend)\n\n        barsize = self.tfcomp_to_size(timeframe, compression)\n        self.histfmt[tickerId] = timeframe >= TimeFrame.Days\n        self.histsend[tickerId] = sessionend\n        self.histtz[tickerId] = tz\n\n        if contract.m_secType in ['CASH', 'CFD']:\n            self.iscash[tickerId] = 1  # msg.field code\n            if not what:\n                what = 'BID'  # default for cash unless otherwise specified\n\n        elif contract.m_secType in ['IND'] and self.p.indcash:\n            self.iscash[tickerId] = 4  # msg.field code\n\n        what = what or 'TRADES'\n\n        self.conn.reqHistoricalData(\n            tickerId,\n            contract,\n            bytes(intdate.strftime('%Y%m%d %H:%M:%S') + ' GMT'),\n            bytes(duration),\n            bytes(barsize),\n            bytes(what),\n            int(useRTH),\n            2)  # dateformat 1 for string, 2 for unix time in seconds\n\n        return q\n\n    def reqHistoricalData(self, contract, enddate, duration, barsize,\n                          what=None, useRTH=False, tz='', sessionend=None):\n        '''Proxy to reqHistorical Data'''\n\n        # get a ticker/queue for identification/data delivery\n        tickerId, q = self.getTickerQueue()\n\n        if contract.m_secType in ['CASH', 'CFD']:\n            self.iscash[tickerId] = True\n            if not what:\n                what = 'BID'  # TRADES doesn't work\n            elif what == 'ASK':\n                self.iscash[tickerId] = 2\n        else:\n            what = what or 'TRADES'\n\n        # split barsize \"x time\", look in sizes for (tf, comp) get tf\n        tframe = self._sizes[barsize.split()[1]][0]\n        self.histfmt[tickerId] = tframe >= TimeFrame.Days\n        self.histsend[tickerId] = sessionend\n        self.histtz[tickerId] = tz\n\n        self.conn.reqHistoricalData(\n            tickerId,\n            contract,\n            bytes(enddate.strftime('%Y%m%d %H:%M:%S') + ' GMT'),\n            bytes(duration),\n            bytes(barsize),\n            bytes(what),\n            int(useRTH),\n            2)\n\n        return q\n\n    def cancelHistoricalData(self, q):\n        '''Cancels an existing HistoricalData request\n\n        Params:\n          - q: the Queue returned by reqMktData\n        '''\n        with self._lock_q:\n            self.conn.cancelHistoricalData(self.ts[q])\n            self.cancelQueue(q, True)\n\n    def reqRealTimeBars(self, contract, useRTH=False, duration=5):\n        '''Creates a request for (5 seconds) Real Time Bars\n\n        Params:\n          - contract: a ib.ext.Contract.Contract intance\n          - useRTH: (default: False) passed to TWS\n          - duration: (default: 5) passed to TWS, no other value works in 2016)\n\n        Returns:\n          - a Queue the client can wait on to receive a RTVolume instance\n        '''\n        # get a ticker/queue for identification/data delivery\n        tickerId, q = self.getTickerQueue()\n\n        # 20150929 - Only 5 secs supported for duration\n        self.conn.reqRealTimeBars(\n            tickerId,\n            contract,\n            duration,\n            bytes('TRADES'),\n            int(useRTH))\n\n        return q\n\n    def cancelRealTimeBars(self, q):\n        '''Cancels an existing MarketData subscription\n\n        Params:\n          - q: the Queue returned by reqMktData\n        '''\n        with self._lock_q:\n            tickerId = self.ts.get(q, None)\n            if tickerId is not None:\n                self.conn.cancelRealTimeBars(tickerId)\n\n            self.cancelQueue(q, True)\n\n    def reqMktData(self, contract, what=None):\n        '''Creates a MarketData subscription\n\n        Params:\n          - contract: a ib.ext.Contract.Contract intance\n\n        Returns:\n          - a Queue the client can wait on to receive a RTVolume instance\n        '''\n        # get a ticker/queue for identification/data delivery\n        tickerId, q = self.getTickerQueue()\n        ticks = '233'  # request RTVOLUME tick delivered over tickString\n\n        if contract.m_secType in ['CASH', 'CFD']:\n            self.iscash[tickerId] = True\n            ticks = ''  # cash markets do not get RTVOLUME\n            if what == 'ASK':\n                self.iscash[tickerId] = 2\n\n        # q.put(None)  # to kickstart backfilling\n        # Can request 233 also for cash ... nothing will arrive\n        self.conn.reqMktData(tickerId, contract, bytes(ticks), False)\n        return q\n\n    def cancelMktData(self, q):\n        '''Cancels an existing MarketData subscription\n\n        Params:\n          - q: the Queue returned by reqMktData\n        '''\n        with self._lock_q:\n            tickerId = self.ts.get(q, None)\n            if tickerId is not None:\n                self.conn.cancelMktData(tickerId)\n\n            self.cancelQueue(q, True)\n\n    @ibregister\n    def tickString(self, msg):\n        # Receive and process a tickString message\n        if msg.tickType == 48:  # RTVolume\n            try:\n                rtvol = RTVolume(msg.value)\n            except ValueError:  # price not in message ...\n                pass\n            else:\n                # Don't need to adjust the time, because it is in \"timestamp\"\n                # form in the message\n                self.qs[msg.tickerId].put(rtvol)\n\n    @ibregister\n    def tickPrice(self, msg):\n        '''Cash Markets have no notion of \"last_price\"/\"last_size\" and the\n        tracking of the price is done (industry de-facto standard at least with\n        the IB API) following the BID price\n\n        A RTVolume which will only contain a price is put into the client's\n        queue to have a consistent cross-market interface\n        '''\n        # Used for \"CASH\" markets\n        # The price field has been seen to be missing in some instances even if\n        # \"field\" is 1\n        tickerId = msg.tickerId\n        fieldcode = self.iscash[tickerId]\n        if fieldcode:\n            if msg.field == fieldcode:  # Expected cash field code\n                try:\n                    if msg.price == -1.0:\n                        # seems to indicate the stream is halted for example in\n                        # between 23:00 - 23:15 CET for FOREX\n                        return\n                except AttributeError:\n                    pass\n\n                try:\n                    rtvol = RTVolume(price=msg.price, tmoffset=self.tmoffset)\n                    # print('rtvol with datetime:', rtvol.datetime)\n                except ValueError:  # price not in message ...\n                    pass\n                else:\n                    self.qs[tickerId].put(rtvol)\n\n    @ibregister\n    def realtimeBar(self, msg):\n        '''Receives x seconds Real Time Bars (at the time of writing only 5\n        seconds are supported)\n\n        Not valid for cash markets\n        '''\n        # Get a naive localtime object\n        msg.time = datetime.utcfromtimestamp(float(msg.time))\n        self.qs[msg.reqId].put(msg)\n\n    @ibregister\n    def historicalData(self, msg):\n        '''Receives the events of a historical data request'''\n        # For multi-tiered downloads we'd need to rebind the queue to a new\n        # tickerId (in case tickerIds are not reusable) and instead of putting\n        # None, issue a new reqHistData with the new data and move formward\n        tickerId = msg.reqId\n        q = self.qs[tickerId]\n        if msg.date.startswith('finished-'):\n            self.histfmt.pop(tickerId, None)\n            self.histsend.pop(tickerId, None)\n            self.histtz.pop(tickerId, None)\n            kargs = self.histexreq.pop(tickerId, None)\n            if kargs is not None:\n                self.reqHistoricalDataEx(tickerId=tickerId, **kargs)\n                return\n\n            msg.date = None\n            self.cancelQueue(q)\n        else:\n            dtstr = msg.date  # Format when string req: YYYYMMDD[  HH:MM:SS]\n            if self.histfmt[tickerId]:\n                sessionend = self.histsend[tickerId]\n                dt = datetime.strptime(dtstr, '%Y%m%d')\n                dteos = datetime.combine(dt, sessionend)\n                tz = self.histtz[tickerId]\n                if tz:\n                    dteostz = tz.localize(dteos)\n                    dteosutc = dteostz.astimezone(UTC).replace(tzinfo=None)\n                    # When requesting for example daily bars, the current day\n                    # will be returned with the already happened data. If the\n                    # session end were added, the new ticks wouldn't make it\n                    # through, because they happen before the end of time\n                else:\n                    dteosutc = dteos\n\n                if dteosutc <= datetime.utcnow():\n                    dt = dteosutc\n\n                msg.date = dt\n            else:\n                msg.date = datetime.utcfromtimestamp(long(dtstr))\n\n        q.put(msg)\n\n    # The _durations are meant to calculate the needed historical data to\n    # perform backfilling at the start of a connetion or a connection is lost.\n    # Using a timedelta as a key allows to quickly find out which bar size\n    # bar size (values in the tuples int the dict) can be used.\n\n    _durations = dict([\n        # 60 seconds - 1 min\n        ('60 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min')),\n\n        # 120 seconds - 2 mins\n        ('120 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins')),\n\n        # 180 seconds - 3 mins\n        ('180 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins')),\n\n        # 300 seconds - 5 mins\n        ('300 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins')),\n\n        # 600 seconds - 10 mins\n        ('600 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins')),\n\n        # 900 seconds - 15 mins\n        ('900 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins')),\n\n        # 1200 seconds - 20 mins\n        ('1200 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins')),\n\n        # 1800 seconds - 30 mins\n        ('1800 S',\n         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins')),\n\n        # 3600 seconds - 1 hour\n        ('3600 S',\n         ('5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour')),\n\n        # 7200 seconds - 2 hours\n        ('7200 S',\n         ('5 secs', '10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours')),\n\n        # 10800 seconds - 3 hours\n        ('10800 S',\n         ('10 secs', '15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours')),\n\n        # 14400 seconds - 4 hours\n        ('14400 S',\n         ('15 secs', '30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours')),\n\n        # 28800 seconds - 8 hours\n        ('28800 S',\n         ('30 secs',\n          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours')),\n\n        # 1 days\n        ('1 D',\n         ('1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',\n          '1 day')),\n\n        # 2 days\n        ('2 D',\n         ('2 mins', '3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',\n          '1 day')),\n\n        # 1 weeks\n        ('1 W',\n         ('3 mins', '5 mins', '10 mins', '15 mins',\n          '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',\n          '1 day', '1 W')),\n\n        # 2 weeks\n        ('2 W',\n         ('15 mins', '20 mins', '30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',\n          '1 day', '1 W')),\n\n        # 1 months\n        ('1 M',\n         ('30 mins',\n          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',\n          '1 day', '1 W', '1 M')),\n\n        # 2+ months\n        ('2 M', ('1 day', '1 W', '1 M')),\n        ('3 M', ('1 day', '1 W', '1 M')),\n        ('4 M', ('1 day', '1 W', '1 M')),\n        ('5 M', ('1 day', '1 W', '1 M')),\n        ('6 M', ('1 day', '1 W', '1 M')),\n        ('7 M', ('1 day', '1 W', '1 M')),\n        ('8 M', ('1 day', '1 W', '1 M')),\n        ('9 M', ('1 day', '1 W', '1 M')),\n        ('10 M', ('1 day', '1 W', '1 M')),\n        ('11 M', ('1 day', '1 W', '1 M')),\n\n        # 1+ years\n        ('1 Y',  ('1 day', '1 W', '1 M')),\n    ])\n\n    # Sizes allow for quick translation from bar sizes above to actual\n    # timeframes to make a comparison with the actual data\n    _sizes = {\n        'secs': (TimeFrame.Seconds, 1),\n        'min': (TimeFrame.Minutes, 1),\n        'mins': (TimeFrame.Minutes, 1),\n        'hour': (TimeFrame.Minutes, 60),\n        'hours': (TimeFrame.Minutes, 60),\n        'day': (TimeFrame.Days, 1),\n        'W': (TimeFrame.Weeks, 1),\n        'M': (TimeFrame.Months, 1),\n    }\n\n    _dur2tf = {\n        'S': TimeFrame.Seconds,\n        'D': TimeFrame.Days,\n        'W': TimeFrame.Weeks,\n        'M': TimeFrame.Months,\n        'Y': TimeFrame.Years,\n    }\n\n    def getdurations(self,  timeframe, compression):\n        key = (timeframe, compression)\n        if key not in self.revdur:\n            return []\n\n        return self.revdur[key]\n\n    def getmaxduration(self, timeframe, compression):\n        key = (timeframe, compression)\n        try:\n            return self.revdur[key][-1]\n        except (KeyError, IndexError):\n            pass\n\n        return None\n\n    def tfcomp_to_size(self, timeframe, compression):\n        if timeframe == TimeFrame.Months:\n            return '{} M'.format(compression)\n\n        if timeframe == TimeFrame.Weeks:\n            return '{} W'.format(compression)\n\n        if timeframe == TimeFrame.Days:\n            if not compression % 7:\n                return '{} W'.format(compression // 7)\n\n            return '{} day'.format(compression)\n\n        if timeframe == TimeFrame.Minutes:\n            if not compression % 60:\n                hours = compression // 60\n                return ('{} hour'.format(hours)) + ('s' * (hours > 1))\n\n            return ('{} min'.format(compression)) + ('s' * (compression > 1))\n\n        if timeframe == TimeFrame.Seconds:\n            return '{} secs'.format(compression)\n\n        # Microseconds or ticks\n        return None\n\n    def dt_plus_duration(self, dt, duration):\n        size, dim = duration.split()\n        size = int(size)\n        if dim == 'S':\n            return dt + timedelta(seconds=size)\n\n        if dim == 'D':\n            return dt + timedelta(days=size)\n\n        if dim == 'W':\n            return dt + timedelta(days=size * 7)\n\n        if dim == 'M':\n            month = dt.month - 1 + size  # -1 to make it 0 based, readd below\n            years, month = divmod(month, 12)\n            return dt.replace(year=dt.year + years, month=month + 1)\n\n        if dim == 'Y':\n            return dt.replace(year=dt.year + size)\n\n        return dt  # could do nothing with it ... return it intact\n\n    def calcdurations(self, dtbegin, dtend):\n        '''Calculate a duration in between 2 datetimes'''\n        duration = self.histduration(dtbegin, dtend)\n\n        if duration[-1] == 'M':\n            m = int(duration.split()[0])\n            m1 = min(2, m)  # (2, 1) -> 1, (2, 7) -> 2. Bottomline: 1 or 2\n            m2 = max(1, m1)  # m1 can only be 1 or 2\n            checkdur = '{} M'.format(m2)\n        elif duration[-1] == 'Y':\n            checkdur = '1 Y'\n        else:\n            checkdur = duration\n\n        sizes = self._durations[checkduration]\n        return duration, sizes\n\n    def calcduration(self, dtbegin, dtend):\n        '''Calculate a duration in between 2 datetimes. Returns single size'''\n        duration, sizes = self._calcdurations(dtbegin, dtend)\n        return duration, sizes[0]\n\n    def histduration(self, dt1, dt2):\n        # Given two dates calculates the smallest possible duration according\n        # to the table from the Historical Data API limitations provided by IB\n        #\n        # Seconds: 'x S' (x: [60, 120, 180, 300, 600, 900, 1200, 1800, 3600,\n        #                     7200, 10800, 14400, 28800])\n        # Days: 'x D' (x: [1, 2]\n        # Weeks: 'x W' (x: [1, 2])\n        # Months: 'x M' (x: [1, 11])\n        # Years: 'x Y' (x: [1])\n\n        td = dt2 - dt1  # get a timedelta for calculations\n\n        # First: array of secs\n        tsecs = td.total_seconds()\n        secs = [60, 120, 180, 300, 600, 900, 1200, 1800, 3600, 7200, 10800,\n                14400, 28800]\n\n        idxsec = bisect.bisect_left(secs, tsecs)\n        if idxsec < len(secs):\n            return '{} S'.format(secs[idxsec])\n\n        tdextra = bool(td.seconds or td.microseconds)  # over days/weeks\n\n        # Next: 1 or 2 days\n        days = td.days + tdextra\n        if td.days <= 2:\n            return '{} D'.format(days)\n\n        # Next: 1 or 2 weeks\n        weeks, d = divmod(td.days, 7)\n        weeks += bool(d or tdextra)\n        if weeks <= 2:\n            return '{} W'.format(weeks)\n\n        # Get references to dt components\n        y2, m2, d2 = dt2.year, dt2.month, dt2.day\n        y1, m1, d1 = dt1.year, dt1.month, dt2.day\n\n        H2, M2, S2, US2 = dt2.hour, dt2.minute, dt2.second, dt2.microsecond\n        H1, M1, S1, US1 = dt1.hour, dt1.minute, dt1.second, dt1.microsecond\n\n        # Next: 1 -> 11 months (11 incl)\n        months = (y2 * 12 + m2) - (y1 * 12 + m1) + (\n            (d2, H2, M2, S2, US2) > (d1, H1, M1, S1, US1))\n        if months <= 1:  # months <= 11\n            return '1 M'  # return '{} M'.format(months)\n        elif months <= 11:\n            return '2 M'  # cap at 2 months to keep the table clean\n\n        # Next: years\n        # y = y2 - y1 + (m2, d2, H2, M2, S2, US2) > (m1, d1, H1, M1, S1, US1)\n        # return '{} Y'.format(y)\n\n        return '1 Y'  # to keep the table clean\n\n    def makecontract(self, symbol, sectype, exch, curr,\n                     expiry='', strike=0.0, right='', mult=1):\n        '''returns a contract from the parameters without check'''\n\n        contract = Contract()\n        contract.m_symbol = bytes(symbol)\n        contract.m_secType = bytes(sectype)\n        contract.m_exchange = bytes(exch)\n        if curr:\n            contract.m_currency = bytes(curr)\n        if sectype in ['FUT', 'OPT', 'FOP']:\n            contract.m_expiry = bytes(expiry)\n        if sectype in ['OPT', 'FOP']:\n            contract.m_strike = strike\n            contract.m_right = bytes(right)\n        if mult:\n            contract.m_multiplier = bytes(mult)\n        return contract\n\n    def cancelOrder(self, orderid):\n        '''Proxy to cancelOrder'''\n        self.conn.cancelOrder(orderid)\n\n    def placeOrder(self, orderid, contract, order):\n        '''Proxy to placeOrder'''\n        self.conn.placeOrder(orderid, contract, order)\n\n    @ibregister\n    def openOrder(self, msg):\n        '''Receive the event ``openOrder`` events'''\n        self.broker.push_orderstate(msg)\n\n    @ibregister\n    def execDetails(self, msg):\n        '''Receive execDetails'''\n        self.broker.push_execution(msg.execution)\n\n    @ibregister\n    def orderStatus(self, msg):\n        '''Receive the event ``orderStatus``'''\n        self.broker.push_orderstatus(msg)\n\n    @ibregister\n    def commissionReport(self, msg):\n        '''Receive the event commissionReport'''\n        self.broker.push_commissionreport(msg.commissionReport)\n\n    def reqPositions(self):\n        '''Proxy to reqPositions'''\n        self.conn.reqPositions()\n\n    @ibregister\n    def position(self, msg):\n        '''Receive event positions'''\n        pass  # Not implemented yet\n\n    def reqAccountUpdates(self, subscribe=True, account=None):\n        '''Proxy to reqAccountUpdates\n\n        If ``account`` is ``None``, wait for the ``managedAccounts`` message to\n        set the account codes\n        '''\n        if account is None:\n            self._event_managed_accounts.wait()\n            account = self.managed_accounts[0]\n\n        self.conn.reqAccountUpdates(subscribe, bytes(account))\n\n    @ibregister\n    def accountDownloadEnd(self, msg):\n        # Signals the end of an account update\n        # the event indicates it's over. It's only false once, and can be used\n        # to find out if it has at least been downloaded once\n        self._event_accdownload.set()\n        if False:\n            if self.port_update:\n                self.broker.push_portupdate()\n\n                self.port_update = False\n\n    @ibregister\n    def updatePortfolio(self, msg):\n        # Lock access to the position dicts. This is called in sub-thread and\n        # can kick in at any time\n        with self._lock_pos:\n            if not self._event_accdownload.is_set():  # 1st event seen\n                position = Position(msg.position, msg.averageCost)\n                self.positions[msg.contract.m_conId] = position\n            else:\n                position = self.positions[msg.contract.m_conId]\n                if not position.fix(msg.position, msg.averageCost):\n                    err = ('The current calculated position and '\n                           'the position reported by the broker do not match. '\n                           'Operation can continue, but the trades '\n                           'calculated in the strategy may be wrong')\n\n                    self.notifs.put((err, (), {}))\n\n                # Flag signal to broker at the end of account download\n                # self.port_update = True\n                self.broker.push_portupdate()\n\n    def getposition(self, contract, clone=False):\n        # Lock access to the position dicts. This is called from main thread\n        # and updates could be happening in the background\n        with self._lock_pos:\n            position = self.positions[contract.m_conId]\n            if clone:\n                return copy(position)\n\n            return position\n\n    @ibregister\n    def updateAccountValue(self, msg):\n        # Lock access to the dicts where values are updated. This happens in a\n        # sub-thread and could kick it at anytime\n        with self._lock_accupd:\n            try:\n                value = float(msg.value)\n            except ValueError:\n                value = msg.value\n\n            self.acc_upds[msg.accountName][msg.key][msg.currency] = value\n\n            if msg.key == 'NetLiquidation':\n                # NetLiquidationByCurrency and currency == 'BASE' is the same\n                self.acc_value[msg.accountName] = value\n            elif msg.key == 'TotalCashBalance' and msg.currency == 'BASE':\n                self.acc_cash[msg.accountName] = value\n\n    def get_acc_values(self, account=None):\n        '''Returns all account value infos sent by TWS during regular updates\n        Waits for at least 1 successful download\n\n        If ``account`` is ``None`` then a dictionary with accounts as keys will\n        be returned containing all accounts\n\n        If account is specified or the system has only 1 account the dictionary\n        corresponding to that account is returned\n        '''\n        # Wait for at least 1 account update download to have been finished\n        # before the account infos can be returned to the calling client\n        if self.connected():\n            self._event_accdownload.wait()\n        # Lock access to acc_cash to avoid an event intefering\n        with self._updacclock:\n            if account is None:\n                # wait for the managedAccount Messages\n                if self.connected():\n                    self._event_managed_accounts.wait()\n\n                if not self.managed_accounts:\n                    return self.acc_upds.copy()\n\n                elif len(self.managed_accounts) > 1:\n                    return self.acc_upds.copy()\n\n                # Only 1 account, fall through to return only 1\n                account = self.managed_accounts[0]\n\n            try:\n                return self.acc_upds[account].copy()\n            except KeyError:\n                pass\n\n            return self.acc_upds.copy()\n\n    def get_acc_value(self, account=None):\n        '''Returns the net liquidation value sent by TWS during regular updates\n        Waits for at least 1 successful download\n\n        If ``account`` is ``None`` then a dictionary with accounts as keys will\n        be returned containing all accounts\n\n        If account is specified or the system has only 1 account the dictionary\n        corresponding to that account is returned\n        '''\n        # Wait for at least 1 account update download to have been finished\n        # before the value can be returned to the calling client\n        if self.connected():\n            self._event_accdownload.wait()\n        # Lock access to acc_cash to avoid an event intefering\n        with self._lock_accupd:\n            if account is None:\n                # wait for the managedAccount Messages\n                if self.connected():\n                    self._event_managed_accounts.wait()\n\n                if not self.managed_accounts:\n                    return float()\n\n                elif len(self.managed_accounts) > 1:\n                    return sum(self.acc_value.values())\n\n                # Only 1 account, fall through to return only 1\n                account = self.managed_accounts[0]\n\n            try:\n                return self.acc_value[account]\n            except KeyError:\n                pass\n\n            return float()\n\n    def get_acc_cash(self, account=None):\n        '''Returns the total cash value sent by TWS during regular updates\n        Waits for at least 1 successful download\n\n        If ``account`` is ``None`` then a dictionary with accounts as keys will\n        be returned containing all accounts\n\n        If account is specified or the system has only 1 account the dictionary\n        corresponding to that account is returned\n        '''\n        # Wait for at least 1 account update download to have been finished\n        # before the cash can be returned to the calling client\n        if self.connected():\n            self._event_accdownload.wait()\n        # Lock access to acc_cash to avoid an event intefering\n        with self._lock_accupd:\n            if account is None:\n                # wait for the managedAccount Messages\n                if self.connected():\n                    self._event_managed_accounts.wait()\n\n                if not self.managed_accounts:\n                    return float()\n\n                elif len(self.managed_accounts) > 1:\n                    return sum(self.acc_cash.values())\n\n                # Only 1 account, fall through to return only 1\n                account = self.managed_accounts[0]\n\n            try:\n                return self.acc_cash[account]\n            except KeyError:\n                pass\n"
  },
  {
    "path": "backtrader/stores/oandastore.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nfrom datetime import datetime, timedelta\nimport time as _time\nimport json\nimport threading\n\nimport oandapy\nimport requests  # oandapy depdendency\n\nimport backtrader as bt\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import queue, with_metaclass\nfrom backtrader.utils import AutoDict\n\n\n# Extend the exceptions to support extra cases\n\nclass OandaRequestError(oandapy.OandaError):\n    def __init__(self):\n        er = dict(code=599, message='Request Error', description='')\n        super(self.__class__, self).__init__(er)\n\n\nclass OandaStreamError(oandapy.OandaError):\n    def __init__(self, content=''):\n        er = dict(code=598, message='Failed Streaming', description=content)\n        super(self.__class__, self).__init__(er)\n\n\nclass OandaTimeFrameError(oandapy.OandaError):\n    def __init__(self, content):\n        er = dict(code=597, message='Not supported TimeFrame', description='')\n        super(self.__class__, self).__init__(er)\n\n\nclass OandaNetworkError(oandapy.OandaError):\n    def __init__(self):\n        er = dict(code=596, message='Network Error', description='')\n        super(self.__class__, self).__init__(er)\n\n\nclass API(oandapy.API):\n    def request(self, endpoint, method='GET', params=None):\n        # Overriden to make something sensible out of a\n        # request.RequestException rather than simply issuing a print(str(e))\n        url = '%s/%s' % (self.api_url, endpoint)\n\n        method = method.lower()\n        params = params or {}\n\n        func = getattr(self.client, method)\n\n        request_args = {}\n        if method == 'get':\n            request_args['params'] = params\n        else:\n            request_args['data'] = params\n\n        # Added the try block\n        try:\n            response = func(url, **request_args)\n        except requests.RequestException as e:\n            return OandaRequestError().error_response\n\n        content = response.content.decode('utf-8')\n        content = json.loads(content)\n\n        # error message\n        if response.status_code >= 400:\n            # changed from raise to return\n            return oandapy.OandaError(content).error_response\n\n        return content\n\n\nclass Streamer(oandapy.Streamer):\n    def __init__(self, q, headers=None, *args, **kwargs):\n        # Override to provide headers, which is in the standard API interface\n        super(Streamer, self).__init__(*args, **kwargs)\n\n        if headers:\n            self.client.headers.update(headers)\n\n        self.q = q\n\n    def run(self, endpoint, params=None):\n        # Override to better manage exceptions.\n        # Kept as much as possible close to the original\n        self.connected = True\n\n        params = params or {}\n\n        ignore_heartbeat = None\n        if 'ignore_heartbeat' in params:\n            ignore_heartbeat = params['ignore_heartbeat']\n\n        request_args = {}\n        request_args['params'] = params\n\n        url = '%s/%s' % (self.api_url, endpoint)\n\n        while self.connected:\n            # Added exception control here\n            try:\n                response = self.client.get(url, **request_args)\n            except requests.RequestException as e:\n                self.q.put(OandaRequestError().error_response)\n                break\n\n            if response.status_code != 200:\n                self.on_error(response.content)\n                break  # added break here\n\n            # Changed chunk_size 90 -> None\n            try:\n                for line in response.iter_lines(chunk_size=None):\n                    if not self.connected:\n                        break\n\n                    if line:\n                        data = json.loads(line.decode('utf-8'))\n                        if not (ignore_heartbeat and 'heartbeat' in data):\n                            self.on_success(data)\n\n            except:  # socket.error has been seen\n                self.q.put(OandaStreamError().error_response)\n                break\n\n    def on_success(self, data):\n        if 'tick' in data:\n            self.q.put(data['tick'])\n        elif 'transaction' in data:\n            self.q.put(data['transaction'])\n\n    def on_error(self, data):\n        self.disconnect()\n        self.q.put(OandaStreamError(data).error_response)\n\n\nclass MetaSingleton(MetaParams):\n    '''Metaclass to make a metaclassed class a singleton'''\n    def __init__(cls, name, bases, dct):\n        super(MetaSingleton, cls).__init__(name, bases, dct)\n        cls._singleton = None\n\n    def __call__(cls, *args, **kwargs):\n        if cls._singleton is None:\n            cls._singleton = (\n                super(MetaSingleton, cls).__call__(*args, **kwargs))\n\n        return cls._singleton\n\n\nclass OandaStore(with_metaclass(MetaSingleton, object)):\n    '''Singleton class wrapping to control the connections to Oanda.\n\n    Params:\n\n      - ``token`` (default:``None``): API access token\n\n      - ``account`` (default: ``None``): account id\n\n      - ``practice`` (default: ``False``): use the test environment\n\n      - ``account_tmout`` (default: ``10.0``): refresh period for account\n        value/cash refresh\n    '''\n\n    BrokerCls = None  # broker class will autoregister\n    DataCls = None  # data class will auto register\n\n    params = (\n        ('token', ''),\n        ('account', ''),\n        ('practice', False),\n        ('account_tmout', 10.0),  # account balance refresh timeout\n    )\n\n    _DTEPOCH = datetime(1970, 1, 1)\n    _ENVPRACTICE = 'practice'\n    _ENVLIVE = 'live'\n\n    @classmethod\n    def getdata(cls, *args, **kwargs):\n        '''Returns ``DataCls`` with args, kwargs'''\n        return cls.DataCls(*args, **kwargs)\n\n    @classmethod\n    def getbroker(cls, *args, **kwargs):\n        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''\n        return cls.BrokerCls(*args, **kwargs)\n\n    def __init__(self):\n        super(OandaStore, self).__init__()\n\n        self.notifs = collections.deque()  # store notifications for cerebro\n\n        self._env = None  # reference to cerebro for general notifications\n        self.broker = None  # broker instance\n        self.datas = list()  # datas that have registered over start\n\n        self._orders = collections.OrderedDict()  # map order.ref to oid\n        self._ordersrev = collections.OrderedDict()  # map oid to order.ref\n        self._transpend = collections.defaultdict(collections.deque)\n\n        self._oenv = self._ENVPRACTICE if self.p.practice else self._ENVLIVE\n        self.oapi = API(environment=self._oenv,\n                        access_token=self.p.token,\n                        headers={'X-Accept-Datetime-Format': 'UNIX'})\n\n        self._cash = 0.0\n        self._value = 0.0\n        self._evt_acct = threading.Event()\n\n    def start(self, data=None, broker=None):\n        # Datas require some processing to kickstart data reception\n        if data is None and broker is None:\n            self.cash = None\n            return\n\n        if data is not None:\n            self._env = data._env\n            # For datas simulate a queue with None to kickstart co\n            self.datas.append(data)\n\n            if self.broker is not None:\n                self.broker.data_started(data)\n\n        elif broker is not None:\n            self.broker = broker\n            self.streaming_events()\n            self.broker_threads()\n\n    def stop(self):\n        # signal end of thread\n        if self.broker is not None:\n            self.q_ordercreate.put(None)\n            self.q_orderclose.put(None)\n            self.q_account.put(None)\n\n    def put_notification(self, msg, *args, **kwargs):\n        self.notifs.append((msg, args, kwargs))\n\n    def get_notifications(self):\n        '''Return the pending \"store\" notifications'''\n        self.notifs.append(None)  # put a mark / threads could still append\n        return [x for x in iter(self.notifs.popleft, None)]\n\n    # Oanda supported granularities\n    _GRANULARITIES = {\n        (bt.TimeFrame.Seconds, 5): 'S5',\n        (bt.TimeFrame.Seconds, 10): 'S10',\n        (bt.TimeFrame.Seconds, 15): 'S15',\n        (bt.TimeFrame.Seconds, 30): 'S30',\n        (bt.TimeFrame.Minutes, 1): 'M1',\n        (bt.TimeFrame.Minutes, 2): 'M3',\n        (bt.TimeFrame.Minutes, 3): 'M3',\n        (bt.TimeFrame.Minutes, 4): 'M4',\n        (bt.TimeFrame.Minutes, 5): 'M5',\n        (bt.TimeFrame.Minutes, 10): 'M5',\n        (bt.TimeFrame.Minutes, 15): 'M5',\n        (bt.TimeFrame.Minutes, 30): 'M5',\n        (bt.TimeFrame.Minutes, 60): 'H1',\n        (bt.TimeFrame.Minutes, 120): 'H2',\n        (bt.TimeFrame.Minutes, 180): 'H3',\n        (bt.TimeFrame.Minutes, 240): 'H4',\n        (bt.TimeFrame.Minutes, 360): 'H6',\n        (bt.TimeFrame.Minutes, 480): 'H8',\n        (bt.TimeFrame.Days, 1): 'D',\n        (bt.TimeFrame.Weeks, 1): 'W',\n        (bt.TimeFrame.Months, 1): 'M',\n    }\n\n    def get_positions(self):\n        try:\n            positions = self.oapi.get_positions(self.p.account)\n        except (oandapy.OandaError, OandaRequestError,):\n            return None\n\n        poslist = positions.get('positions', [])\n        return poslist\n\n    def get_granularity(self, timeframe, compression):\n        return self._GRANULARITIES.get((timeframe, compression), None)\n\n    def get_instrument(self, dataname):\n        try:\n            insts = self.oapi.get_instruments(self.p.account,\n                                              instruments=dataname)\n        except (oandapy.OandaError, OandaRequestError,):\n            return None\n\n        i = insts.get('instruments', [{}])\n        return i[0] or None\n\n    def streaming_events(self, tmout=None):\n        q = queue.Queue()\n        kwargs = {'q': q, 'tmout': tmout}\n\n        t = threading.Thread(target=self._t_streaming_listener, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n\n        t = threading.Thread(target=self._t_streaming_events, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n        return q\n\n    def _t_streaming_listener(self, q, tmout=None):\n        while True:\n            trans = q.get()\n            self._transaction(trans)\n\n    def _t_streaming_events(self, q, tmout=None):\n        if tmout is not None:\n            _time.sleep(tmout)\n\n        streamer = Streamer(q,\n                            environment=self._oenv,\n                            access_token=self.p.token,\n                            headers={'X-Accept-Datetime-Format': 'UNIX'})\n\n        streamer.events(ignore_heartbeat=False)\n\n    def candles(self, dataname, dtbegin, dtend, timeframe, compression,\n                candleFormat, includeFirst):\n\n        kwargs = locals().copy()\n        kwargs.pop('self')\n        kwargs['q'] = q = queue.Queue()\n        t = threading.Thread(target=self._t_candles, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n        return q\n\n    def _t_candles(self, dataname, dtbegin, dtend, timeframe, compression,\n                   candleFormat, includeFirst, q):\n\n        granularity = self.get_granularity(timeframe, compression)\n        if granularity is None:\n            e = OandaTimeFrameError()\n            q.put(e.error_response)\n            return\n\n        dtkwargs = {}\n        if dtbegin is not None:\n            dtkwargs['start'] = int((dtbegin - self._DTEPOCH).total_seconds())\n\n        if dtend is not None:\n            dtkwargs['end'] = int((dtend - self._DTEPOCH).total_seconds())\n\n        try:\n            response = self.oapi.get_history(instrument=dataname,\n                                             granularity=granularity,\n                                             candleFormat=candleFormat,\n                                             **dtkwargs)\n\n        except oandapy.OandaError as e:\n            q.put(e.error_response)\n            q.put(None)\n            return\n\n        for candle in response.get('candles', []):\n            q.put(candle)\n\n        q.put({})  # end of transmission\n\n    def streaming_prices(self, dataname, tmout=None):\n        q = queue.Queue()\n        kwargs = {'q': q, 'dataname': dataname, 'tmout': tmout}\n        t = threading.Thread(target=self._t_streaming_prices, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n        return q\n\n    def _t_streaming_prices(self, dataname, q, tmout):\n        if tmout is not None:\n            _time.sleep(tmout)\n\n        streamer = Streamer(q, environment=self._oenv,\n                            access_token=self.p.token,\n                            headers={'X-Accept-Datetime-Format': 'UNIX'})\n\n        streamer.rates(self.p.account, instruments=dataname)\n\n    def get_cash(self):\n        return self._cash\n\n    def get_value(self):\n        return self._value\n\n    _ORDEREXECS = {\n        bt.Order.Market: 'market',\n        bt.Order.Limit: 'limit',\n        bt.Order.Stop: 'stop',\n        bt.Order.StopLimit: 'stop',\n    }\n\n    def broker_threads(self):\n        self.q_account = queue.Queue()\n        self.q_account.put(True)  # force an immediate update\n        t = threading.Thread(target=self._t_account)\n        t.daemon = True\n        t.start()\n\n        self.q_ordercreate = queue.Queue()\n        t = threading.Thread(target=self._t_order_create)\n        t.daemon = True\n        t.start()\n\n        self.q_orderclose = queue.Queue()\n        t = threading.Thread(target=self._t_order_cancel)\n        t.daemon = True\n        t.start()\n\n        # Wait once for the values to be set\n        self._evt_acct.wait(self.p.account_tmout)\n\n    def _t_account(self):\n        while True:\n            try:\n                msg = self.q_account.get(timeout=self.p.account_tmout)\n                if msg is None:\n                    break  # end of thread\n            except queue.Empty:  # tmout -> time to refresh\n                pass\n\n            try:\n                accinfo = self.oapi.get_account(self.p.account)\n            except Exception as e:\n                self.put_notification(e)\n                continue\n\n            try:\n                self._cash = accinfo['marginAvail']\n                self._value = accinfo['balance']\n            except KeyError:\n                pass\n\n            self._evt_acct.set()\n\n    def order_create(self, order, stopside=None, takeside=None, **kwargs):\n        okwargs = dict()\n        okwargs['instrument'] = order.data._dataname\n        okwargs['units'] = abs(order.created.size)\n        okwargs['side'] = 'buy' if order.isbuy() else 'sell'\n        okwargs['type'] = self._ORDEREXECS[order.exectype]\n        if order.exectype != bt.Order.Market:\n            okwargs['price'] = order.created.price\n            if order.valid is None:\n                # 1 year and datetime.max fail ... 1 month works\n                valid = datetime.utcnow() + timedelta(days=30)\n            else:\n                valid = order.data.num2date(order.valid)\n                # To timestamp with seconds precision\n            okwargs['expiry'] = int((valid - self._DTEPOCH).total_seconds())\n\n        if order.exectype == bt.Order.StopLimit:\n            okwargs['lowerBound'] = order.created.pricelimit\n            okwargs['upperBound'] = order.created.pricelimit\n\n        if order.exectype == bt.Order.StopTrail:\n            okwargs['trailingStop'] = order.trailamount\n\n        if stopside is not None:\n            okwargs['stopLoss'] = stopside.price\n\n        if takeside is not None:\n            okwargs['takeProfit'] = takeside.price\n\n        okwargs.update(**kwargs)  # anything from the user\n\n        self.q_ordercreate.put((order.ref, okwargs,))\n        return order\n\n    _OIDSINGLE = ['orderOpened', 'tradeOpened', 'tradeReduced']\n    _OIDMULTIPLE = ['tradesClosed']\n\n    def _t_order_create(self):\n        while True:\n            msg = self.q_ordercreate.get()\n            if msg is None:\n                break\n\n            oref, okwargs = msg\n            try:\n                o = self.oapi.create_order(self.p.account, **okwargs)\n            except Exception as e:\n                self.put_notification(e)\n                self.broker._reject(oref)\n                return\n\n            # Ids are delivered in different fields and all must be fetched to\n            # match them (as executions) to the order generated here\n            oids = list()\n            for oidfield in self._OIDSINGLE:\n                if oidfield in o and 'id' in o[oidfield]:\n                    oids.append(o[oidfield]['id'])\n\n            for oidfield in self._OIDMULTIPLE:\n                if oidfield in o:\n                    for suboidfield in o[oidfield]:\n                        oids.append(suboidfield['id'])\n\n            if not oids:\n                self.broker._reject(oref)\n                return\n\n            self._orders[oref] = oids[0]\n            self.broker._submit(oref)\n            if okwargs['type'] == 'market':\n                self.broker._accept(oref)  # taken immediately\n\n            for oid in oids:\n                self._ordersrev[oid] = oref  # maps ids to backtrader order\n\n                # An transaction may have happened and was stored\n                tpending = self._transpend[oid]\n                tpending.append(None)  # eom marker\n                while True:\n                    trans = tpending.popleft()\n                    if trans is None:\n                        break\n                    self._process_transaction(oid, trans)\n\n    def order_cancel(self, order):\n        self.q_orderclose.put(order.ref)\n        return order\n\n    def _t_order_cancel(self):\n        while True:\n            oref = self.q_orderclose.get()\n            if oref is None:\n                break\n\n            oid = self._orders.get(oref, None)\n            if oid is None:\n                continue  # the order is no longer there\n            try:\n                o = self.oapi.close_order(self.p.account, oid)\n            except Exception as e:\n                continue  # not cancelled - FIXME: notify\n\n            self.broker._cancel(oref)\n\n    _X_ORDER_CREATE = ('STOP_ORDER_CREATE',\n                       'LIMIT_ORDER_CREATE', 'MARKET_IF_TOUCHED_ORDER_CREATE',)\n\n    def _transaction(self, trans):\n        # Invoked from Streaming Events. May actually receive an event for an\n        # oid which has not yet been returned after creating an order. Hence\n        # store if not yet seen, else forward to processer\n        ttype = trans['type']\n        if ttype == 'MARKET_ORDER_CREATE':\n            try:\n                oid = trans['tradeReduced']['id']\n            except KeyError:\n                try:\n                    oid = trans['tradeOpened']['id']\n                except KeyError:\n                    return  # cannot do anything else\n\n        elif ttype in self._X_ORDER_CREATE:\n            oid = trans['id']\n        elif ttype == 'ORDER_FILLED':\n            oid = trans['orderId']\n\n        elif ttype == 'ORDER_CANCEL':\n            oid = trans['orderId']\n\n        elif ttype == 'TRADE_CLOSE':\n            oid = trans['id']\n            pid = trans['tradeId']\n            if pid in self._orders and False:  # Know nothing about trade\n                return  # can do nothing\n\n            # Skip above - at the moment do nothing\n            # Received directly from an event in the WebGUI for example which\n            # closes an existing position related to order with id -> pid\n            # COULD BE DONE: Generate a fake counter order to gracefully\n            # close the existing position\n            msg = ('Received TRADE_CLOSE for unknown order, possibly generated'\n                   ' over a different client or GUI')\n            self.put_notification(msg, trans)\n            return\n\n        else:  # Go aways gracefully\n            try:\n                oid = trans['id']\n            except KeyError:\n                oid = 'None'\n\n            msg = 'Received {} with oid {}. Unknown situation'\n            msg = msg.format(ttype, oid)\n            self.put_notification(msg, trans)\n            return\n\n        try:\n            oref = self._ordersrev[oid]\n            self._process_transaction(oid, trans)\n        except KeyError:  # not yet seen, keep as pending\n            self._transpend[oid].append(trans)\n\n    _X_ORDER_FILLED = ('MARKET_ORDER_CREATE',\n                       'ORDER_FILLED', 'TAKE_PROFIT_FILLED',\n                       'STOP_LOSS_FILLED', 'TRAILING_STOP_FILLED',)\n\n    def _process_transaction(self, oid, trans):\n        try:\n            oref = self._ordersrev.pop(oid)\n        except KeyError:\n            return\n\n        ttype = trans['type']\n\n        if ttype in self._X_ORDER_FILLED:\n            size = trans['units']\n            if trans['side'] == 'sell':\n                size = -size\n            price = trans['price']\n            self.broker._fill(oref, size, price, ttype=ttype)\n\n        elif ttype in self._X_ORDER_CREATE:\n            self.broker._accept(oref)\n            self._ordersrev[oid] = oref\n\n        elif ttype in 'ORDER_CANCEL':\n            reason = trans['reason']\n            if reason == 'ORDER_FILLED':\n                pass  # individual execs have done the job\n            elif reason == 'TIME_IN_FORCE_EXPIRED':\n                self.broker._expire(oref)\n            elif reason == 'CLIENT_REQUEST':\n                self.broker._cancel(oref)\n            else:  # default action ... if nothing else\n                self.broker._reject(oref)\n"
  },
  {
    "path": "backtrader/stores/vchartfile.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport os.path\n\nimport backtrader as bt\n\n\nclass VChartFile(bt.Store):\n    '''Store provider for Visual Chart binary files\n\n    Params:\n\n      - ``path`` (default:``None``):\n\n        If the path is ``None`` and running under *Windows*, the registry will\n        be examined to find the root directory of the *Visual Chart* files.\n    '''\n\n    params = (\n        ('path', None),\n    )\n\n    def __init__(self):\n        self._path = self.p.path\n        if self._path is None:\n            self._path = self._find_vchart()\n\n    @staticmethod\n    def _find_vchart():\n        # Find VisualChart registry key to get data directory\n        # If not found returns ''\n        VC_KEYNAME = r'SOFTWARE\\VCG\\Visual Chart 6\\Config'\n        VC_KEYVAL = 'DocsDirectory'\n        VC_DATADIR = ['Realserver', 'Data', '01']\n\n        VC_NONE = ''\n\n        from backtrader.utils.py3 import winreg\n        if winreg is None:\n            return VC_NONE\n\n        vcdir = None\n        # Search for Directory in the usual root keys\n        for rkey in (winreg.HKEY_CURRENT_USER, winreg.HKEY_LOCAL_MACHINE,):\n            try:\n                vckey = winreg.OpenKey(rkey, VC_KEYNAME)\n            except WindowsError as e:\n                continue\n\n            # Try to get the key value\n            try:\n                vcdir, _ = winreg.QueryValueEx(vckey, VC_KEYVAL)\n            except WindowsError as e:\n                continue\n            else:\n                break  # found vcdir\n\n        if vcdir is not None:  # something was found\n            vcdir = os.path.join(vcdir, *VC_DATADIR)\n        else:\n            vcdir = VC_NONE\n\n        return vcdir\n\n    def get_datapath(self):\n        return self._path\n"
  },
  {
    "path": "backtrader/stores/vcstore.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport collections\nfrom datetime import date, datetime, time, timedelta\nimport os.path\nimport threading\nimport time as _timemod\n\nimport ctypes\n\nfrom backtrader import TimeFrame, Position\nfrom backtrader.feed import DataBase\nfrom backtrader.metabase import MetaParams\nfrom backtrader.utils.py3 import (MAXINT, range, queue, string_types,\n                                  with_metaclass)\nfrom backtrader.utils import AutoDict\n\n\nclass _SymInfo(object):\n    # Replica of the SymbolInfo COM object to pass it over thread boundaries\n    _fields = ['Type', 'Description', 'Decimals', 'TimeOffset',\n               'PointValue', 'MinMovement']\n\n    def __init__(self, syminfo):\n        for f in self._fields:\n            setattr(self, f, getattr(syminfo, f))\n\n# This type is used inside 'PumpEvents', but if we create the type\n# afresh each time 'PumpEvents' is called we end up creating cyclic\n# garbage for each call.  So we define it here instead.\n_handles_type = ctypes.c_void_p * 1\n\n\ndef PumpEvents(timeout=-1, hevt=None, cb=None):\n    \"\"\"This following code waits for 'timeout' seconds in the way\n    required for COM, internally doing the correct things depending\n    on the COM appartment of the current thread.  It is possible to\n    terminate the message loop by pressing CTRL+C, which will raise\n    a KeyboardInterrupt.\n    \"\"\"\n    # XXX Should there be a way to pass additional event handles which\n    # can terminate this function?\n\n    # XXX XXX XXX\n    #\n    # It may be that I misunderstood the CoWaitForMultipleHandles\n    # function.  Is a message loop required in a STA?  Seems so...\n    #\n    # MSDN says:\n    #\n    # If the caller resides in a single-thread apartment,\n    # CoWaitForMultipleHandles enters the COM modal loop, and the\n    # thread's message loop will continue to dispatch messages using\n    # the thread's message filter. If no message filter is registered\n    # for the thread, the default COM message processing is used.\n    #\n    # If the calling thread resides in a multithread apartment (MTA),\n    # CoWaitForMultipleHandles calls the Win32 function\n    # MsgWaitForMultipleObjects.\n\n    # Timeout expected as float in seconds - *1000 to miliseconds\n    # timeout = -1 -> INFINITE 0xFFFFFFFF;\n    # It can also be a callable which should return an amount in seconds\n\n    if hevt is None:\n        hevt = ctypes.windll.kernel32.CreateEventA(None, True, False, None)\n\n    handles = _handles_type(hevt)\n    RPC_S_CALLPENDING = -2147417835\n\n    # @ctypes.WINFUNCTYPE(ctypes.c_int, ctypes.c_uint)\n    def HandlerRoutine(dwCtrlType):\n        if dwCtrlType == 0:  # CTRL+C\n            ctypes.windll.kernel32.SetEvent(hevt)\n            return 1\n        return 0\n\n    HandlerRoutine = (\n        ctypes.WINFUNCTYPE(ctypes.c_int, ctypes.c_uint)(HandlerRoutine)\n    )\n\n    ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 1)\n    while True:\n        try:\n            tmout = timeout()  # check if it's a callable\n        except TypeError:\n            tmout = timeout  # it seems to be a number\n\n        if tmout > 0:\n            tmout *= 1000\n        tmout = int(tmout)\n\n        try:\n            res = ctypes.oledll.ole32.CoWaitForMultipleHandles(\n                0,  # COWAIT_FLAGS\n                int(tmout),  # dwtimeout\n                len(handles),  # number of handles in handles\n                handles,  # handles array\n                # pointer to indicate which handle was signaled\n                ctypes.byref(ctypes.c_ulong())\n            )\n\n        except WindowsError as details:\n            if details.args[0] == RPC_S_CALLPENDING:  # timeout expired\n                if cb is not None:\n                    cb()\n\n                continue\n\n            else:\n                ctypes.windll.kernel32.CloseHandle(hevt)\n                ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)\n                raise  # something else happened\n        else:\n            ctypes.windll.kernel32.CloseHandle(hevt)\n            ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)\n            raise KeyboardInterrupt\n\n        # finally:\n        # if False:\n            # ctypes.windll.kernel32.CloseHandle(hevt)\n            # ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)\n            # break\n\n\nclass RTEventSink(object):\n    def __init__(self, store):\n        self.store = store\n        self.vcrtmod = store.vcrtmod\n        self.lastconn = None\n\n    def OnNewTicks(self, ArrayTicks):\n        pass\n\n    def OnServerShutDown(self):\n        self.store._vcrt_connection(self.store._RT_SHUTDOWN)\n\n    def OnInternalEvent(self, p1, p2, p3):\n        if p1 != 1:  # Apparently \"Connection Event\"\n            return\n\n        if p2 == self.lastconn:\n            return  # do not notify twice\n\n        self.lastconn = p2  # keep new notification code\n\n        # p2 should be 0 (disconn), 1 (conn)\n        self.store._vcrt_connection(self.store._RT_BASEMSG - p2)\n\n\nclass MetaSingleton(MetaParams):\n    '''Metaclass to make a metaclassed class a singleton'''\n    def __init__(cls, name, bases, dct):\n        super(MetaSingleton, cls).__init__(name, bases, dct)\n        cls._singleton = None\n\n    def __call__(cls, *args, **kwargs):\n        if cls._singleton is None:\n            cls._singleton = (\n                super(MetaSingleton, cls).__call__(*args, **kwargs))\n\n        return cls._singleton\n\n\nclass VCStore(with_metaclass(MetaSingleton, object)):\n    '''Singleton class wrapping an ibpy ibConnection instance.\n\n    The parameters can also be specified in the classes which use this store,\n    like ``VCData`` and ``VCBroker``\n\n    '''\n    BrokerCls = None  # broker class will autoregister\n    DataCls = None  # data class will auto register\n\n    # 32 bit max unsigned int for openinterest correction\n    MAXUINT = 0xffffffff // 2\n\n    # to remove at least 1 sec or else there seem to be internal conv problems\n    MAXDATE1 = datetime.max - timedelta(days=1, seconds=1)\n    MAXDATE2 = datetime.max - timedelta(seconds=1)\n\n    _RT_SHUTDOWN = -0xffff\n    _RT_BASEMSG = -0xfff0\n    _RT_DISCONNECTED = -0xfff0\n    _RT_CONNECTED = -0xfff1\n    _RT_LIVE = -0xfff2\n    _RT_DELAYED = -0xfff3\n    _RT_TYPELIB = -0xffe0\n    _RT_TYPEOBJ = -0xffe1\n    _RT_COMTYPES = -0xffe2\n\n    @classmethod\n    def getdata(cls, *args, **kwargs):\n        '''Returns ``DataCls`` with args, kwargs'''\n        return cls.DataCls(*args, **kwargs)\n\n    @classmethod\n    def getbroker(cls, *args, **kwargs):\n        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''\n        return cls.BrokerCls(*args, **kwargs)\n\n    # DLLs to parse if found for TypeLibs\n    VC64_DLLS = ('VCDataSource64.dll', 'VCRealTimeLib64.dll',\n                 'COMTraderInterfaces64.dll',)\n\n    VC_DLLS = ('VCDataSource.dll', 'VCRealTimeLib.dll',\n               'COMTraderInterfaces.dll',)\n\n    # Well known CLSDI\n    VC_TLIBS = (\n        ['{EB2A77DC-A317-4160-8833-DECF16275A05}', 1, 0],  # vcdatasource64\n        ['{86F1DB04-2591-4866-A361-BB053D77FA18}', 1, 0],  # vcrealtime64\n        ['{20F8873C-35BE-4DB4-8C2A-0A8D40F8AEC3}', 1, 0],  # raderinterface64\n    )\n\n    VC_KEYNAME = r'SOFTWARE\\VCG\\Visual Chart 6\\Config'\n    VC_KEYVAL = 'Directory'\n    VC_BINPATH = 'bin'\n\n    def find_vchart(self):\n        # Tries to locate VisualChart in the registry to get the installation\n        # directory\n        # If not found returns well-known typelibs clsid\n        # Else it will scan the directory to locate the 64/32 bit dlls and\n        # return the paths\n        import _winreg  # keep import local to avoid breaking test cases\n\n        vcdir = None\n\n        # Search for Directory in the usual root keys\n        for rkey in (_winreg.HKEY_CURRENT_USER, _winreg.HKEY_LOCAL_MACHINE,):\n            try:\n                vckey = _winreg.OpenKey(rkey, self.VC_KEYNAME)\n            except WindowsError as e:\n                continue\n\n            # Try to get the key value\n            try:\n                vcdir, _ = _winreg.QueryValueEx(vckey, self.VC_KEYVAL)\n            except WindowsError as e:\n                continue\n            else:\n                break  # found vcdir\n\n        if vcdir is None:\n            return self.VC_TLIBS  # no dir found, last resort\n\n        # DLLs are in the bin directory\n        vcbin = os.path.join(vcdir, self.VC_BINPATH)\n\n        # Search for the 3 libraries (64/32 bits) in the found dir\n        for dlls in (self.VC64_DLLS, self.VC_DLLS,):\n            dfound = []\n            for dll in dlls:\n                fpath = os.path.join(vcbin, dll)\n                if not os.path.isfile(fpath):\n                    break\n                dfound.append(fpath)\n\n            if len(dfound) == len(dlls):\n                return dfound\n\n        # not all dlls were found, last resort\n        return self.VC_TLIBS\n\n    def _load_comtypes(self):\n        # Keep comtypes imports local to avoid breaking testcases\n        try:\n            import comtypes\n            self.comtypes = comtypes\n\n            from comtypes.client import CreateObject, GetEvents, GetModule\n            self.CreateObject = CreateObject\n            self.GetEvents = GetEvents\n            self.GetModule = GetModule\n        except ImportError:\n            return False\n\n        return True  # notifiy comtypes was loaded\n\n    def __init__(self):\n        self._connected = False  # modules/objects created\n\n        self.notifs = collections.deque()  # hold notifications to deliver\n\n        self.t_vcconn = None  # control connection status\n\n        # hold deques to market data symbols\n        self._dqs = collections.deque()\n        self._qdatas = dict()\n        self._tftable = dict()\n\n        if not self._load_comtypes():\n            txt = 'Failed to import comtypes'\n            msg = self._RT_COMTYPES, txt\n            self.put_notification(msg, *msg)\n            return\n\n        vctypelibs = self.find_vchart()\n        # Try to load the modules\n        try:\n            self.vcdsmod = self.GetModule(vctypelibs[0])\n            self.vcrtmod = self.GetModule(vctypelibs[1])\n            self.vcctmod = self.GetModule(vctypelibs[2])\n        except WindowsError as e:\n            self.vcdsmod = None\n            self.vcrtmod = None\n            self.vcctmod = None\n            txt = 'Failed to Load COM TypeLib Modules {}'.format(e)\n            msg = self._RT_TYPELIB, txt\n            self.put_notification(msg, *msg)\n            return\n\n        # Try to load the main objects\n        try:\n            self.vcds = self.CreateObject(self.vcdsmod.DataSourceManager)\n            # self.vcrt = self.CreateObject(self.vcrtmod.RealTime)\n            self.vcct = self.CreateObject(self.vcctmod.Trader)\n        except WindowsError as e:\n            txt = ('Failed to Load COM TypeLib Objects but the COM TypeLibs '\n                   'have been loaded. If VisualChart has been recently '\n                   'installed/updated, restarting Windows may be necessary '\n                   'to register the Objects: {}'.format(e))\n            msg = self._RT_TYPELIB, txt\n            self.put_notification(msg, *msg)\n            self.vcds = None\n            self.vcrt = None\n            self.vcct = None\n            return\n\n        self._connected = True\n\n        # Build a table of VCRT Field_XX mappings for debugging purposes\n        self.vcrtfields = dict()\n        for name in dir(self.vcrtmod):\n            if name.startswith('Field'):\n                self.vcrtfields[getattr(self.vcrtmod, name)] = name\n\n        # Modules and objects can be created\n        self._tftable = {\n            TimeFrame.Ticks: (self.vcdsmod.CT_Ticks, 1),\n            TimeFrame.MicroSeconds: (self.vcdsmod.CT_Ticks, 1),  # To Resample\n            TimeFrame.Seconds: (self.vcdsmod.CT_Ticks, 1),  # To Resample\n            TimeFrame.Minutes: (self.vcdsmod.CT_Minutes, 1),\n            TimeFrame.Days: (self.vcdsmod.CT_Days, 1),\n            TimeFrame.Weeks: (self.vcdsmod.CT_Weeks, 1),\n            TimeFrame.Months: (self.vcdsmod.CT_Months, 1),\n            TimeFrame.Years: (self.vcdsmod.CT_Months, 12),\n        }\n\n    def put_notification(self, msg, *args, **kwargs):\n        self.notifs.append((msg, args, kwargs))\n\n    def get_notifications(self):\n        '''Return the pending \"store\" notifications'''\n        self.notifs.append(None)  # Mark current end of notifs\n        return [x for x in iter(self.notifs.popleft, None)]  # popleft til None\n\n    def start(self, data=None, broker=None):\n        if not self._connected:\n            return\n\n        if self.t_vcconn is None:\n            # Kickstart connection thread check\n            self.t_vcconn = t = threading.Thread(target=self._start_vcrt)\n            t.daemon = True  # Do not stop a general exit\n            t.start()\n\n        if broker is not None:\n            t = threading.Thread(target=self._t_broker, args=(broker,))\n            t.daemon = True\n            t.start()\n\n    def stop(self):\n        pass  # nothing to do\n\n    def connected(self):\n        return self._connected\n\n    def _start_vcrt(self):\n        # Use VCRealTime to monitor the connection status\n        self.comtypes.CoInitialize()  # running in another thread\n        vcrt = self.CreateObject(self.vcrtmod.RealTime)\n        sink = RTEventSink(self)\n        conn = self.GetEvents(vcrt, sink)\n        PumpEvents()\n        self.comtypes.CoUninitialize()\n\n    def _vcrt_connection(self, status):\n        if status == -0xffff:\n            txt = 'VisualChart shutting down',\n        # p2: 0 -> Disconnected /  p2: 1 -> Reconnected\n        elif status == -0xfff0:\n            txt = 'VisualChart is Disconnected'\n        elif status == -0xfff1:\n            txt = 'VisualChart is Connected'\n        else:\n            txt = 'VisualChart unknown connection status '\n\n        msg = txt, status\n        self.put_notification(msg, *msg)\n\n        for q in self._dqs:\n            q.put(status)\n\n    def _tf2ct(self, timeframe, compression):\n        # Translates timeframes to known compression types in VisualChart\n        timeframe, extracomp = self._tftable[timeframe]\n        return timeframe, compression * extracomp\n\n    def _ticking(self, timeframe):\n        # Translates timeframes to known compression types in VisualChart\n        vctimeframe, _ = self._tftable[timeframe]\n        return vctimeframe == self.vcdsmod.CT_Ticks\n\n    def _getq(self, data):\n        q = queue.Queue()\n        self._dqs.append(q)\n        self._qdatas[q] = data\n        return q\n\n    def _delq(self, q):\n        self._dqs.remove(q)\n        self._qdatas.pop(q)\n\n    def _rtdata(self, data, symbol):\n        kwargs = dict(data=data, symbol=symbol)\n        t = threading.Thread(target=self._t_rtdata, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n\n    # Broker functions\n    def _t_rtdata(self, data, symbol):\n        self.comtypes.CoInitialize()  # running in another thread\n        vcrt = self.CreateObject(self.vcrtmod.RealTime)\n        conn = self.GetEvents(vcrt, data)\n        data._vcrt = vcrt\n        vcrt.RequestSymbolFeed(symbol, False)  # no limits\n        PumpEvents()\n        del conn  # ensure events go away\n        self.comtypes.CoUninitialize()\n\n    def _symboldata(self, symbol):\n\n        # Assumption -> we are connected and the symbol has been found\n        self.vcds.ActiveEvents = 0\n        # self.vcds.EventsType = self.vcdsmod.EF_Always\n\n        serie = self.vcds.NewDataSerie(symbol,\n                                       self.vcdsmod.CT_Days, 1,\n                                       self.MAXDATE1, self.MAXDATE2)\n\n        syminfo = _SymInfo(serie.GetSymbolInfo())\n        self.vcds.DeleteDataSource(serie)\n        return syminfo\n\n    def _canceldirectdata(self, q):\n        self._delq(q)\n\n    def _directdata(self, data,\n                    symbol, timeframe, compression, d1, d2=None,\n                    historical=False):\n\n        # Assume the data has checked the existence of the symbol\n        timeframe, compression = self._tf2ct(timeframe, compression)\n        kwargs = locals().copy()  # make a copy of the args\n        kwargs.pop('self')\n        kwargs['q'] = q = self._getq(data)\n\n        t = threading.Thread(target=self._t_directdata, kwargs=kwargs)\n        t.daemon = True\n        t.start()\n\n        # use the queue to synchronize until symbolinfo has been gotten\n        return q  # tell the caller where to expect the hist data\n\n    def _t_directdata(self, data,\n                      symbol, timeframe, compression, d1, d2, q,\n                      historical):\n\n        self.comtypes.CoInitialize()  # start com threading\n        vcds = self.CreateObject(self.vcdsmod.DataSourceManager)\n\n        historical = historical or d2 is not None\n        if not historical:\n            vcds.ActiveEvents = 1\n            vcds.EventsType = self.vcdsmod.EF_Always\n        else:\n            vcds.ActiveEvents = 0\n\n        if d2 is not None:\n            serie = vcds.NewDataSerie(symbol, timeframe, compression, d1, d2)\n        else:\n            serie = vcds.NewDataSerie(symbol, timeframe, compression, d1)\n\n        data._setserie(serie)\n\n        # processing of bars can continue\n        data.OnNewDataSerieBar(serie, forcepush=historical)\n        if historical:  # push the last bar\n            q.put(None)        # Signal end of transmission\n            dsconn = None\n        else:\n            dsconn = self.GetEvents(vcds, data)  # finally connect the events\n            pass\n\n        # pump events in this thread - call ping\n        PumpEvents(timeout=data._getpingtmout, cb=data.ping)\n        if dsconn is not None:\n            del dsconn  # Docs recommend deleting the connection\n\n        # Delete the series before coming out of the thread\n        vcds.DeleteDataSource(serie)\n        self.comtypes.CoUninitialize()  # Terminate com threading\n\n    # Broker functions\n    def _t_broker(self, broker):\n        self.comtypes.CoInitialize()  # running in another thread\n        trader = self.CreateObject(self.vcctmod.Trader)\n        conn = self.GetEvents(trader, broker(trader))\n        PumpEvents()\n        del conn  # ensure events go away\n        self.comtypes.CoUninitialize()\n"
  },
  {
    "path": "backtrader/strategies/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom .sma_crossover import *\n"
  },
  {
    "path": "backtrader/strategies/sma_crossover.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\n\nclass MA_CrossOver(bt.Strategy):\n    '''This is a long-only strategy which operates on a moving average cross\n\n    Note:\n      - Although the default\n\n    Buy Logic:\n      - No position is open on the data\n\n      - The ``fast`` moving averagecrosses over the ``slow`` strategy to the\n        upside.\n\n    Sell Logic:\n      - A position exists on the data\n\n      - The ``fast`` moving average crosses over the ``slow`` strategy to the\n        downside\n\n    Order Execution Type:\n      - Market\n\n    '''\n    alias = ('SMA_CrossOver',)\n\n    params = (\n        # period for the fast Moving Average\n        ('fast', 10),\n        # period for the slow moving average\n        ('slow', 30),\n        # moving average to use\n        ('_movav', btind.MovAv.SMA)\n    )\n\n    def __init__(self):\n        sma_fast = self.p._movav(period=self.p.fast)\n        sma_slow = self.p._movav(period=self.p.slow)\n\n        self.buysig = btind.CrossOver(sma_fast, sma_slow)\n\n    def next(self):\n        if self.position.size:\n            if self.buysig < 0:\n                self.sell()\n\n        elif self.buysig > 0:\n            self.buy()\n"
  },
  {
    "path": "backtrader/strategy.py",
    "content": "#!/usr/bin389/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport copy\nimport datetime\nimport inspect\nimport itertools\nimport operator\n\nfrom .utils.py3 import (filter, keys, integer_types, iteritems, itervalues,\n                        map, MAXINT, string_types, with_metaclass)\n\nimport backtrader as bt\nfrom .lineiterator import LineIterator, StrategyBase\nfrom .lineroot import LineSingle\nfrom .lineseries import LineSeriesStub\nfrom .metabase import ItemCollection, findowner\nfrom .trade import Trade\nfrom .utils import OrderedDict, AutoOrderedDict, AutoDictList\n\n\nclass MetaStrategy(StrategyBase.__class__):\n    _indcol = dict()\n\n    def __new__(meta, name, bases, dct):\n        # Hack to support original method name for notify_order\n        if 'notify' in dct:\n            # rename 'notify' to 'notify_order'\n            dct['notify_order'] = dct.pop('notify')\n        if 'notify_operation' in dct:\n            # rename 'notify' to 'notify_order'\n            dct['notify_trade'] = dct.pop('notify_operation')\n\n        return super(MetaStrategy, meta).__new__(meta, name, bases, dct)\n\n    def __init__(cls, name, bases, dct):\n        '''\n        Class has already been created ... register subclasses\n        '''\n        # Initialize the class\n        super(MetaStrategy, cls).__init__(name, bases, dct)\n\n        if not cls.aliased and \\\n           name != 'Strategy' and not name.startswith('_'):\n            cls._indcol[name] = cls\n\n    def donew(cls, *args, **kwargs):\n        _obj, args, kwargs = super(MetaStrategy, cls).donew(*args, **kwargs)\n\n        # Find the owner and store it\n        _obj.env = _obj.cerebro = cerebro = findowner(_obj, bt.Cerebro)\n        _obj._id = cerebro._next_stid()\n\n        return _obj, args, kwargs\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaStrategy, cls).dopreinit(_obj, *args, **kwargs)\n        _obj.broker = _obj.env.broker\n        _obj._sizer = bt.sizers.FixedSize()\n        _obj._orders = list()\n        _obj._orderspending = list()\n        _obj._trades = collections.defaultdict(AutoDictList)\n        _obj._tradespending = list()\n\n        _obj.stats = _obj.observers = ItemCollection()\n        _obj.analyzers = ItemCollection()\n        _obj._alnames = collections.defaultdict(itertools.count)\n        _obj.writers = list()\n\n        _obj._slave_analyzers = list()\n\n        _obj._tradehistoryon = False\n\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaStrategy, cls).dopostinit(_obj, *args, **kwargs)\n\n        _obj._sizer.set(_obj, _obj.broker)\n\n        return _obj, args, kwargs\n\n\nclass Strategy(with_metaclass(MetaStrategy, StrategyBase)):\n    '''\n    Base class to be subclassed for user defined strategies.\n    '''\n\n    _ltype = LineIterator.StratType\n\n    csv = True\n    _oldsync = False  # update clock using old methodology : data 0\n\n    # keep the latest delivered data date in the line\n    lines = ('datetime',)\n\n    def qbuffer(self, savemem=0, replaying=False):\n        '''Enable the memory saving schemes. Possible values for ``savemem``:\n\n          0: No savings. Each lines object keeps in memory all values\n\n          1: All lines objects save memory, using the strictly minimum needed\n\n        Negative values are meant to be used when plotting is required:\n\n          -1: Indicators at Strategy Level and Observers do not enable memory\n              savings (but anything declared below it does)\n\n          -2: Same as -1 plus activation of memory saving for any indicators\n              which has declared *plotinfo.plot* as False (will not be plotted)\n        '''\n        if savemem < 0:\n            # Get any attribute which labels itself as Indicator\n            for ind in self._lineiterators[self.IndType]:\n                subsave = isinstance(ind, (LineSingle,))\n                if not subsave and savemem < -1:\n                    subsave = not ind.plotinfo.plot\n                ind.qbuffer(savemem=subsave)\n\n        elif savemem > 0:\n            for data in self.datas:\n                data.qbuffer(replaying=replaying)\n\n            for line in self.lines:\n                line.qbuffer(savemem=1)\n\n            # Save in all object types depending on the strategy\n            for itcls in self._lineiterators:\n                for it in self._lineiterators[itcls]:\n                    it.qbuffer(savemem=1)\n\n    def _periodset(self):\n        dataids = [id(data) for data in self.datas]\n\n        _dminperiods = collections.defaultdict(list)\n        for lineiter in self._lineiterators[LineIterator.IndType]:\n            # if multiple datas are used and multiple timeframes the larger\n            # timeframe may place larger time constraints in calling next.\n            clk = getattr(lineiter, '_clock', None)\n            if clk is None:\n                clk = getattr(lineiter._owner, '_clock', None)\n                if clk is None:\n                    continue\n\n            while True:\n                if id(clk) in dataids:\n                    break  # already top-level clock (data feed)\n\n                # See if the current clock has higher level clocks\n                clk2 = getattr(clk, '_clock', None)\n                if clk2 is None:\n                    clk2 = getattr(clk._owner, '_clock', None)\n\n                if clk2 is None:\n                    break  # if no clock found, bail out\n\n                clk = clk2  # keep the ref and try to go up the hierarchy\n\n            if clk is None:\n                continue  # no clock found, go to next\n\n            # LineSeriesStup wraps a line and the clock is the wrapped line and\n            # no the wrapper itself.\n            if isinstance(clk, LineSeriesStub):\n                clk = clk.lines[0]\n\n            _dminperiods[clk].append(lineiter._minperiod)\n\n        self._minperiods = list()\n        for data in self.datas:\n\n            # Do not only consider the data as clock but also its lines which\n            # may have been individually passed as clock references and\n            # discovered as clocks above\n\n            # Initialize with data min period if any\n            dlminperiods = _dminperiods[data]\n\n            for l in data.lines:  # search each line for min periods\n                if l in _dminperiods:\n                    dlminperiods += _dminperiods[l]  # found, add it\n\n            # keep the reference to the line if any was found\n            _dminperiods[data] = [max(dlminperiods)] if dlminperiods else []\n\n            dminperiod = max(_dminperiods[data] or [data._minperiod])\n            self._minperiods.append(dminperiod)\n\n        # Set the minperiod\n        minperiods = \\\n            [x._minperiod for x in self._lineiterators[LineIterator.IndType]]\n        self._minperiod = max(minperiods or [self._minperiod])\n\n    def _addwriter(self, writer):\n        '''\n        Unlike the other _addxxx functions this one receives an instance\n        because the writer works at cerebro level and is only passed to the\n        strategy to simplify the logic\n        '''\n        self.writers.append(writer)\n\n    def _addindicator(self, indcls, *indargs, **indkwargs):\n        indcls(*indargs, **indkwargs)\n\n    def _addanalyzer_slave(self, ancls, *anargs, **ankwargs):\n        '''Like _addanalyzer but meant for observers (or other entities) which\n        rely on the output of an analyzer for the data. These analyzers have\n        not been added by the user and are kept separate from the main\n        analyzers\n\n        Returns the created analyzer\n        '''\n        analyzer = ancls(*anargs, **ankwargs)\n        self._slave_analyzers.append(analyzer)\n        return analyzer\n\n    def _getanalyzer_slave(self, idx):\n        return self._slave_analyzers.append[idx]\n\n    def _addanalyzer(self, ancls, *anargs, **ankwargs):\n        anname = ankwargs.pop('_name', '') or ancls.__name__.lower()\n        nsuffix = next(self._alnames[anname])\n        anname += str(nsuffix or '')  # 0 (first instance) gets no suffix\n        analyzer = ancls(*anargs, **ankwargs)\n        self.analyzers.append(analyzer, anname)\n\n    def _addobserver(self, multi, obscls, *obsargs, **obskwargs):\n        obsname = obskwargs.pop('obsname', '')\n        if not obsname:\n            obsname = obscls.__name__.lower()\n\n        if not multi:\n            newargs = list(itertools.chain(self.datas, obsargs))\n            obs = obscls(*newargs, **obskwargs)\n            self.stats.append(obs, obsname)\n            return\n\n        setattr(self.stats, obsname, list())\n        l = getattr(self.stats, obsname)\n\n        for data in self.datas:\n            obs = obscls(data, *obsargs, **obskwargs)\n            l.append(obs)\n\n    def _getminperstatus(self):\n        # check the min period status connected to datas\n        dlens = map(operator.sub, self._minperiods, map(len, self.datas))\n        self._minperstatus = minperstatus = max(dlens)\n        return minperstatus\n\n    def prenext_open(self):\n        pass\n\n    def nextstart_open(self):\n        self.next_open()\n\n    def next_open(self):\n        pass\n\n    def _oncepost_open(self):\n        minperstatus = self._minperstatus\n        if minperstatus < 0:\n            self.next_open()\n        elif minperstatus == 0:\n            self.nextstart_open()  # only called for the 1st value\n        else:\n            self.prenext_open()\n\n    def _oncepost(self, dt):\n        for indicator in self._lineiterators[LineIterator.IndType]:\n            if len(indicator._clock) > len(indicator):\n                indicator.advance()\n\n        if self._oldsync:\n            # Strategy has not been reset, the line is there\n            self.advance()\n        else:\n            # strategy has been reset to beginning. advance step by step\n            self.forward()\n\n        self.lines.datetime[0] = dt\n        self._notify()\n\n        minperstatus = self._getminperstatus()\n        if minperstatus < 0:\n            self.next()\n        elif minperstatus == 0:\n            self.nextstart()  # only called for the 1st value\n        else:\n            self.prenext()\n\n        self._next_analyzers(minperstatus, once=True)\n        self._next_observers(minperstatus, once=True)\n\n        self.clear()\n\n    def _clk_update(self):\n        if self._oldsync:\n            clk_len = super(Strategy, self)._clk_update()\n            self.lines.datetime[0] = max(d.datetime[0]\n                                         for d in self.datas if len(d))\n            return clk_len\n\n        newdlens = [len(d) for d in self.datas]\n        if any(nl > l for l, nl in zip(self._dlens, newdlens)):\n            self.forward()\n\n        self.lines.datetime[0] = max(d.datetime[0]\n                                     for d in self.datas if len(d))\n        self._dlens = newdlens\n\n        return len(self)\n\n    def _next_open(self):\n        minperstatus = self._minperstatus\n        if minperstatus < 0:\n            self.next_open()\n        elif minperstatus == 0:\n            self.nextstart_open()  # only called for the 1st value\n        else:\n            self.prenext_open()\n\n    def _next(self):\n        super(Strategy, self)._next()\n\n        minperstatus = self._getminperstatus()\n        self._next_analyzers(minperstatus)\n        self._next_observers(minperstatus)\n\n        self.clear()\n\n    def _next_observers(self, minperstatus, once=False):\n        for observer in self._lineiterators[LineIterator.ObsType]:\n            for analyzer in observer._analyzers:\n                if minperstatus < 0:\n                    analyzer._next()\n                elif minperstatus == 0:\n                    analyzer._nextstart()  # only called for the 1st value\n                else:\n                    analyzer._prenext()\n\n            if once:\n                if len(self) > len(observer):\n                    if self._oldsync:\n                        observer.advance()\n                    else:\n                        observer.forward()\n\n                if minperstatus < 0:\n                    observer.next()\n                elif minperstatus == 0:\n                    observer.nextstart()  # only called for the 1st value\n                elif len(observer):\n                    observer.prenext()\n            else:\n                observer._next()\n\n    def _next_analyzers(self, minperstatus, once=False):\n        for analyzer in self.analyzers:\n            if minperstatus < 0:\n                analyzer._next()\n            elif minperstatus == 0:\n                analyzer._nextstart()  # only called for the 1st value\n            else:\n                analyzer._prenext()\n\n    def _settz(self, tz):\n        self.lines.datetime._settz(tz)\n\n    def _start(self):\n        self._periodset()\n\n        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):\n            analyzer._start()\n\n        for obs in self.observers:\n            if not isinstance(obs, list):\n                obs = [obs]  # support of multi-data observers\n\n            for o in obs:\n                o._start()\n\n        # change operators to stage 2\n        self._stage2()\n\n        self._dlens = [len(data) for data in self.datas]\n\n        self._minperstatus = MAXINT  # start in prenext\n\n        self.start()\n\n    def start(self):\n        '''Called right before the backtesting is about to be started.'''\n        pass\n\n    def getwriterheaders(self):\n        self.indobscsv = [self]\n\n        indobs = itertools.chain(\n            self.getindicators_lines(), self.getobservers())\n        self.indobscsv.extend(filter(lambda x: x.csv, indobs))\n\n        headers = list()\n\n        # prepare the indicators/observers data headers\n        for iocsv in self.indobscsv:\n            name = iocsv.plotinfo.plotname or iocsv.__class__.__name__\n            headers.append(name)\n            headers.append('len')\n            headers.extend(iocsv.getlinealiases())\n\n        return headers\n\n    def getwritervalues(self):\n        values = list()\n\n        for iocsv in self.indobscsv:\n            name = iocsv.plotinfo.plotname or iocsv.__class__.__name__\n            values.append(name)\n            lio = len(iocsv)\n            values.append(lio)\n            if lio:\n                values.extend(map(lambda l: l[0], iocsv.lines.itersize()))\n            else:\n                values.extend([''] * iocsv.lines.size())\n\n        return values\n\n    def getwriterinfo(self):\n        wrinfo = AutoOrderedDict()\n\n        wrinfo['Params'] = self.p._getkwargs()\n\n        sections = [\n            ['Indicators', self.getindicators_lines()],\n            ['Observers', self.getobservers()]\n        ]\n\n        for sectname, sectitems in sections:\n            sinfo = wrinfo[sectname]\n            for item in sectitems:\n                itname = item.__class__.__name__\n                sinfo[itname].Lines = item.lines.getlinealiases() or None\n                sinfo[itname].Params = item.p._getkwargs() or None\n\n        ainfo = wrinfo.Analyzers\n\n        # Internal Value Analyzer\n        ainfo.Value.Begin = self.broker.startingcash\n        ainfo.Value.End = self.broker.getvalue()\n\n        # no slave analyzers for writer\n        for aname, analyzer in self.analyzers.getitems():\n            ainfo[aname].Params = analyzer.p._getkwargs() or None\n            ainfo[aname].Analysis = analyzer.get_analysis()\n\n        return wrinfo\n\n    def _stop(self):\n        self.stop()\n\n        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):\n            analyzer._stop()\n\n        # change operators back to stage 1 - allows reuse of datas\n        self._stage1()\n\n    def stop(self):\n        '''Called right before the backtesting is about to be stopped'''\n        pass\n\n    def set_tradehistory(self, onoff=True):\n        self._tradehistoryon = onoff\n\n    def clear(self):\n        self._orders.extend(self._orderspending)\n        self._orderspending = list()\n        self._tradespending = list()\n\n    def _addnotification(self, order, quicknotify=False):\n        if not order.p.simulated:\n            self._orderspending.append(order)\n\n        if quicknotify:\n            qorders = [order]\n            qtrades = []\n\n        if not order.executed.size:\n            if quicknotify:\n                self._notify(qorders=qorders, qtrades=qtrades)\n            return\n\n        tradedata = order.data._compensate\n        if tradedata is None:\n            tradedata = order.data\n\n        datatrades = self._trades[tradedata][order.tradeid]\n        if not datatrades:\n            trade = Trade(data=tradedata, tradeid=order.tradeid,\n                          historyon=self._tradehistoryon)\n            datatrades.append(trade)\n        else:\n            trade = datatrades[-1]\n\n        for exbit in order.executed.iterpending():\n            if exbit is None:\n                break\n\n            if exbit.closed:\n                trade.update(order,\n                             exbit.closed,\n                             exbit.price,\n                             exbit.closedvalue,\n                             exbit.closedcomm,\n                             exbit.pnl,\n                             comminfo=order.comminfo)\n\n                if trade.isclosed:\n                    self._tradespending.append(copy.copy(trade))\n                    if quicknotify:\n                        qtrades.append(copy.copy(trade))\n\n            # Update it if needed\n            if exbit.opened:\n                if trade.isclosed:\n                    trade = Trade(data=tradedata, tradeid=order.tradeid,\n                                  historyon=self._tradehistoryon)\n                    datatrades.append(trade)\n\n                trade.update(order,\n                             exbit.opened,\n                             exbit.price,\n                             exbit.openedvalue,\n                             exbit.openedcomm,\n                             exbit.pnl,\n                             comminfo=order.comminfo)\n\n                # This extra check covers the case in which different tradeid\n                # orders have put the position down to 0 and the next order\n                # \"opens\" a position but \"closes\" the trade\n                if trade.isclosed:\n                    self._tradespending.append(copy.copy(trade))\n                    if quicknotify:\n                        qtrades.append(copy.copy(trade))\n\n            if trade.justopened:\n                self._tradespending.append(copy.copy(trade))\n                if quicknotify:\n                    qtrades.append(copy.copy(trade))\n\n        if quicknotify:\n            self._notify(qorders=qorders, qtrades=qtrades)\n\n    def _notify(self, qorders=[], qtrades=[]):\n        if self.cerebro.p.quicknotify:\n            # need to know if quicknotify is on, to not reprocess pendingorders\n            # and pendingtrades, which have to exist for things like observers\n            # which look into it\n            procorders = qorders\n            proctrades = qtrades\n        else:\n            procorders = self._orderspending\n            proctrades = self._tradespending\n\n        for order in procorders:\n            if order.exectype != order.Historical or order.histnotify:\n                self.notify_order(order)\n            for analyzer in itertools.chain(self.analyzers,\n                                            self._slave_analyzers):\n                analyzer._notify_order(order)\n\n        for trade in proctrades:\n            self.notify_trade(trade)\n            for analyzer in itertools.chain(self.analyzers,\n                                            self._slave_analyzers):\n                analyzer._notify_trade(trade)\n\n        if qorders:\n            return  # cash is notified on a regular basis\n\n        cash = self.broker.getcash()\n        value = self.broker.getvalue()\n        fundvalue = self.broker.fundvalue\n        fundshares = self.broker.fundshares\n\n        self.notify_cashvalue(cash, value)\n        self.notify_fund(cash, value, fundvalue, fundshares)\n        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):\n            analyzer._notify_cashvalue(cash, value)\n            analyzer._notify_fund(cash, value, fundvalue, fundshares)\n\n    def add_timer(self, when,\n                  offset=datetime.timedelta(), repeat=datetime.timedelta(),\n                  weekdays=[], weekcarry=False,\n                  monthdays=[], monthcarry=True,\n                  allow=None,\n                  tzdata=None, cheat=False,\n                  *args, **kwargs):\n        '''\n        **Note**: can be called during ``__init__`` or ``start``\n\n        Schedules a timer to invoke either a specified callback or the\n        ``notify_timer`` of one or more strategies.\n\n        Arguments:\n\n          - ``when``: can be\n\n            - ``datetime.time`` instance (see below ``tzdata``)\n            - ``bt.timer.SESSION_START`` to reference a session start\n            - ``bt.timer.SESSION_END`` to reference a session end\n\n         - ``offset`` which must be a ``datetime.timedelta`` instance\n\n           Used to offset the value ``when``. It has a meaningful use in\n           combination with ``SESSION_START`` and ``SESSION_END``, to indicated\n           things like a timer being called ``15 minutes`` after the session\n           start.\n\n          - ``repeat`` which must be a ``datetime.timedelta`` instance\n\n            Indicates if after a 1st call, further calls will be scheduled\n            within the same session at the scheduled ``repeat`` delta\n\n            Once the timer goes over the end of the session it is reset to the\n            original value for ``when``\n\n          - ``weekdays``: a **sorted** iterable with integers indicating on\n            which days (iso codes, Monday is 1, Sunday is 7) the timers can\n            be actually invoked\n\n            If not specified, the timer will be active on all days\n\n          - ``weekcarry`` (default: ``False``). If ``True`` and the weekday was\n            not seen (ex: trading holiday), the timer will be executed on the\n            next day (even if in a new week)\n\n          - ``monthdays``: a **sorted** iterable with integers indicating on\n            which days of the month a timer has to be executed. For example\n            always on day *15* of the month\n\n            If not specified, the timer will be active on all days\n\n          - ``monthcarry`` (default: ``True``). If the day was not seen\n            (weekend, trading holiday), the timer will be executed on the next\n            available day.\n\n          - ``allow`` (default: ``None``). A callback which receives a\n            `datetime.date`` instance and returns ``True`` if the date is\n            allowed for timers or else returns ``False``\n\n          - ``tzdata`` which can be either ``None`` (default), a ``pytz``\n            instance or a ``data feed`` instance.\n\n            ``None``: ``when`` is interpreted at face value (which translates\n            to handling it as if it where UTC even if it's not)\n\n            ``pytz`` instance: ``when`` will be interpreted as being specified\n            in the local time specified by the timezone instance.\n\n            ``data feed`` instance: ``when`` will be interpreted as being\n            specified in the local time specified by the ``tz`` parameter of\n            the data feed instance.\n\n            **Note**: If ``when`` is either ``SESSION_START`` or\n              ``SESSION_END`` and ``tzdata`` is ``None``, the 1st *data feed*\n              in the system (aka ``self.data0``) will be used as the reference\n              to find out the session times.\n\n          - ``cheat`` (default ``False``) if ``True`` the timer will be called\n            before the broker has a chance to evaluate the orders. This opens\n            the chance to issue orders based on opening price for example right\n            before the session starts\n\n          - ``*args``: any extra args will be passed to ``notify_timer``\n\n          - ``**kwargs``: any extra kwargs will be passed to ``notify_timer``\n\n        Return Value:\n\n          - The created timer\n\n        '''\n        return self.cerebro._add_timer(\n            owner=self, when=when, offset=offset, repeat=repeat,\n            weekdays=weekdays, weekcarry=weekcarry,\n            monthdays=monthdays, monthcarry=monthcarry,\n            allow=allow,\n            tzdata=tzdata, strats=False, cheat=cheat,\n            *args, **kwargs)\n\n    def notify_timer(self, timer, when, *args, **kwargs):\n        '''Receives a timer notification where ``timer`` is the timer which was\n        returned by ``add_timer``, and ``when`` is the calling time. ``args``\n        and ``kwargs`` are any additional arguments passed to ``add_timer``\n\n        The actual ``when`` time can be later, but the system may have not be\n        able to call the timer before. This value is the timer value and no the\n        system time.\n        '''\n        pass\n\n    def notify_cashvalue(self, cash, value):\n        '''\n        Receives the current fund value, value status of the strategy's broker\n        '''\n        pass\n\n    def notify_fund(self, cash, value, fundvalue, shares):\n        '''\n        Receives the current cash, value, fundvalue and fund shares\n        '''\n        pass\n\n    def notify_order(self, order):\n        '''\n        Receives an order whenever there has been a change in one\n        '''\n        pass\n\n    def notify_trade(self, trade):\n        '''\n        Receives a trade whenever there has been a change in one\n        '''\n        pass\n\n    def notify_store(self, msg, *args, **kwargs):\n        '''Receives a notification from a store provider'''\n        pass\n\n    def notify_data(self, data, status, *args, **kwargs):\n        '''Receives a notification from data'''\n        pass\n\n    def getdatanames(self):\n        '''\n        Returns a list of the existing data names\n        '''\n        return keys(self.env.datasbyname)\n\n    def getdatabyname(self, name):\n        '''\n        Returns a given data by name using the environment (cerebro)\n        '''\n        return self.env.datasbyname[name]\n\n    def cancel(self, order):\n        '''Cancels the order in the broker'''\n        self.broker.cancel(order)\n\n    def buy(self, data=None,\n            size=None, price=None, plimit=None,\n            exectype=None, valid=None, tradeid=0, oco=None,\n            trailamount=None, trailpercent=None,\n            parent=None, transmit=True,\n            **kwargs):\n        '''Create a buy (long) order and send it to the broker\n\n          - ``data`` (default: ``None``)\n\n            For which data the order has to be created. If ``None`` then the\n            first data in the system, ``self.datas[0] or self.data0`` (aka\n            ``self.data``) will be used\n\n          - ``size`` (default: ``None``)\n\n            Size to use (positive) of units of data to use for the order.\n\n            If ``None`` the ``sizer`` instance retrieved via ``getsizer`` will\n            be used to determine the size.\n\n          - ``price`` (default: ``None``)\n\n            Price to use (live brokers may place restrictions on the actual\n            format if it does not comply to minimum tick size requirements)\n\n            ``None`` is valid for ``Market`` and ``Close`` orders (the market\n            determines the price)\n\n            For ``Limit``, ``Stop`` and ``StopLimit`` orders this value\n            determines the trigger point (in the case of ``Limit`` the trigger\n            is obviously at which price the order should be matched)\n\n          - ``plimit`` (default: ``None``)\n\n            Only applicable to ``StopLimit`` orders. This is the price at which\n            to set the implicit *Limit* order, once the *Stop* has been\n            triggered (for which ``price`` has been used)\n\n          - ``trailamount`` (default: ``None``)\n\n            If the order type is StopTrail or StopTrailLimit, this is an\n            absolute amount which determines the distance to the price (below\n            for a Sell order and above for a buy order) to keep the trailing\n            stop\n\n          - ``trailpercent`` (default: ``None``)\n\n            If the order type is StopTrail or StopTrailLimit, this is a\n            percentage amount which determines the distance to the price (below\n            for a Sell order and above for a buy order) to keep the trailing\n            stop (if ``trailamount`` is also specified it will be used)\n\n          - ``exectype`` (default: ``None``)\n\n            Possible values:\n\n            - ``Order.Market`` or ``None``. A market order will be executed\n              with the next available price. In backtesting it will be the\n              opening price of the next bar\n\n            - ``Order.Limit``. An order which can only be executed at the given\n              ``price`` or better\n\n            - ``Order.Stop``. An order which is triggered at ``price`` and\n              executed like an ``Order.Market`` order\n\n            - ``Order.StopLimit``. An order which is triggered at ``price`` and\n              executed as an implicit *Limit* order with price given by\n              ``pricelimit``\n\n            - ``Order.Close``. An order which can only be executed with the\n              closing price of the session (usually during a closing auction)\n\n            - ``Order.StopTrail``. An order which is triggered at ``price``\n              minus ``trailamount`` (or ``trailpercent``) and which is updated\n              if the price moves away from the stop\n\n            - ``Order.StopTrailLimit``. An order which is triggered at\n              ``price`` minus ``trailamount`` (or ``trailpercent``) and which\n              is updated if the price moves away from the stop\n\n          - ``valid`` (default: ``None``)\n\n            Possible values:\n\n              - ``None``: this generates an order that will not expire (aka\n                *Good till cancel*) and remain in the market until matched or\n                canceled. In reality brokers tend to impose a temporal limit,\n                but this is usually so far away in time to consider it as not\n                expiring\n\n              - ``datetime.datetime`` or ``datetime.date`` instance: the date\n                will be used to generate an order valid until the given\n                datetime (aka *good till date*)\n\n              - ``Order.DAY`` or ``0`` or ``timedelta()``: a day valid until\n                the *End of the Session* (aka *day* order) will be generated\n\n              - ``numeric value``: This is assumed to be a value corresponding\n                to a datetime in ``matplotlib`` coding (the one used by\n                ``backtrader``) and will used to generate an order valid until\n                that time (*good till date*)\n\n          - ``tradeid`` (default: ``0``)\n\n            This is an internal value applied by ``backtrader`` to keep track\n            of overlapping trades on the same asset. This ``tradeid`` is sent\n            back to the *strategy* when notifying changes to the status of the\n            orders.\n\n          - ``oco`` (default: ``None``)\n\n            Another ``order`` instance. This order will become part of an OCO\n            (Order Cancel Others) group. The execution of one of the orders,\n            immediately cancels all others in the same group\n\n          - ``parent`` (default: ``None``)\n\n            Controls the relationship of a group of orders, for example a buy\n            which is bracketed by a high-side limit sell and a low side stop\n            sell. The high/low side orders remain inactive until the parent\n            order has been either executed (they become active) or is\n            canceled/expires (the children are also canceled) bracket orders\n            have the same size\n\n          - ``transmit`` (default: ``True``)\n\n            Indicates if the order has to be **transmitted**, ie: not only\n            placed in the broker but also issued. This is meant for example to\n            control bracket orders, in which one disables the transmission for\n            the parent and 1st set of children and activates it for the last\n            children, which triggers the full placement of all bracket orders.\n\n          - ``**kwargs``: additional broker implementations may support extra\n            parameters. ``backtrader`` will pass the *kwargs* down to the\n            created order objects\n\n            Example: if the 4 order execution types directly supported by\n            ``backtrader`` are not enough, in the case of for example\n            *Interactive Brokers* the following could be passed as *kwargs*::\n\n              orderType='LIT', lmtPrice=10.0, auxPrice=9.8\n\n            This would override the settings created by ``backtrader`` and\n            generate a ``LIMIT IF TOUCHED`` order with a *touched* price of 9.8\n            and a *limit* price of 10.0.\n\n        Returns:\n          - the submitted order\n\n        '''\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n\n        data = data if data is not None else self.datas[0]\n        size = size if size is not None else self.getsizing(data, isbuy=True)\n\n        if size:\n            return self.broker.buy(\n                self, data,\n                size=abs(size), price=price, plimit=plimit,\n                exectype=exectype, valid=valid, tradeid=tradeid, oco=oco,\n                trailamount=trailamount, trailpercent=trailpercent,\n                parent=parent, transmit=transmit,\n                **kwargs)\n\n        return None\n\n    def sell(self, data=None,\n             size=None, price=None, plimit=None,\n             exectype=None, valid=None, tradeid=0, oco=None,\n             trailamount=None, trailpercent=None,\n             parent=None, transmit=True,\n             **kwargs):\n        '''\n        To create a selll (short) order and send it to the broker\n\n        See the documentation for ``buy`` for an explanation of the parameters\n\n        Returns: the submitted order\n        '''\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n\n        data = data if data is not None else self.datas[0]\n        size = size if size is not None else self.getsizing(data, isbuy=False)\n\n        if size:\n            return self.broker.sell(\n                self, data,\n                size=abs(size), price=price, plimit=plimit,\n                exectype=exectype, valid=valid, tradeid=tradeid, oco=oco,\n                trailamount=trailamount, trailpercent=trailpercent,\n                parent=parent, transmit=transmit,\n                **kwargs)\n\n        return None\n\n    def close(self, data=None, size=None, **kwargs):\n        '''\n        Counters a long/short position closing it\n\n        See the documentation for ``buy`` for an explanation of the parameters\n\n        Note:\n\n          - ``size``: automatically calculated from the existing position if\n            not provided (default: ``None``) by the caller\n\n        Returns: the submitted order\n        '''\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n        elif data is None:\n            data = self.data\n\n        possize = self.getposition(data, self.broker).size\n        size = abs(size if size is not None else possize)\n\n        if possize > 0:\n            return self.sell(data=data, size=size, **kwargs)\n        elif possize < 0:\n            return self.buy(data=data, size=size, **kwargs)\n\n        return None\n\n    def buy_bracket(self, data=None, size=None, price=None, plimit=None,\n                    exectype=bt.Order.Limit, valid=None, tradeid=0,\n                    trailamount=None, trailpercent=None, oargs={},\n                    stopprice=None, stopexec=bt.Order.Stop, stopargs={},\n                    limitprice=None, limitexec=bt.Order.Limit, limitargs={},\n                    **kwargs):\n        '''\n        Create a bracket order group (low side - buy order - high side). The\n        default behavior is as follows:\n\n          - Issue a **buy** order with execution ``Limit``\n\n          - Issue a *low side* bracket **sell** order with execution ``Stop``\n\n          - Issue a *high side* bracket **sell** order with execution\n            ``Limit``.\n\n        See below for the different parameters\n\n          - ``data`` (default: ``None``)\n\n            For which data the order has to be created. If ``None`` then the\n            first data in the system, ``self.datas[0] or self.data0`` (aka\n            ``self.data``) will be used\n\n          - ``size`` (default: ``None``)\n\n            Size to use (positive) of units of data to use for the order.\n\n            If ``None`` the ``sizer`` instance retrieved via ``getsizer`` will\n            be used to determine the size.\n\n            **Note**: The same size is applied to all 3 orders of the bracket\n\n          - ``price`` (default: ``None``)\n\n            Price to use (live brokers may place restrictions on the actual\n            format if it does not comply to minimum tick size requirements)\n\n            ``None`` is valid for ``Market`` and ``Close`` orders (the market\n            determines the price)\n\n            For ``Limit``, ``Stop`` and ``StopLimit`` orders this value\n            determines the trigger point (in the case of ``Limit`` the trigger\n            is obviously at which price the order should be matched)\n\n          - ``plimit`` (default: ``None``)\n\n            Only applicable to ``StopLimit`` orders. This is the price at which\n            to set the implicit *Limit* order, once the *Stop* has been\n            triggered (for which ``price`` has been used)\n\n          - ``trailamount`` (default: ``None``)\n\n            If the order type is StopTrail or StopTrailLimit, this is an\n            absolute amount which determines the distance to the price (below\n            for a Sell order and above for a buy order) to keep the trailing\n            stop\n\n          - ``trailpercent`` (default: ``None``)\n\n            If the order type is StopTrail or StopTrailLimit, this is a\n            percentage amount which determines the distance to the price (below\n            for a Sell order and above for a buy order) to keep the trailing\n            stop (if ``trailamount`` is also specified it will be used)\n\n          - ``exectype`` (default: ``bt.Order.Limit``)\n\n            Possible values: (see the documentation for the method ``buy``\n\n          - ``valid`` (default: ``None``)\n\n            Possible values: (see the documentation for the method ``buy``\n\n          - ``tradeid`` (default: ``0``)\n\n            Possible values: (see the documentation for the method ``buy``\n\n          - ``oargs`` (default: ``{}``)\n\n            Specific keyword arguments (in a ``dict``) to pass to the main side\n            order. Arguments from the default ``**kwargs`` will be applied on\n            top of this.\n\n          - ``**kwargs``: additional broker implementations may support extra\n            parameters. ``backtrader`` will pass the *kwargs* down to the\n            created order objects\n\n            Possible values: (see the documentation for the method ``buy``\n\n            **Note**: this ``kwargs`` will be applied to the 3 orders of a\n            bracket. See below for specific keyword arguments for the low and\n            high side orders\n\n          - ``stopprice`` (default: ``None``)\n\n            Specific price for the *low side* stop order\n\n          - ``stopexec`` (default: ``bt.Order.Stop``)\n\n            Specific execution type for the *low side* order\n\n          - ``stopargs`` (default: ``{}``)\n\n            Specific keyword arguments (in a ``dict``) to pass to the low side\n            order. Arguments from the default ``**kwargs`` will be applied on\n            top of this.\n\n          - ``limitprice`` (default: ``None``)\n\n            Specific price for the *high side* stop order\n\n          - ``stopexec`` (default: ``bt.Order.Limit``)\n\n            Specific execution type for the *high side* order\n\n          - ``limitargs`` (default: ``{}``)\n\n            Specific keyword arguments (in a ``dict``) to pass to the high side\n            order. Arguments from the default ``**kwargs`` will be applied on\n            top of this.\n\n        High/Low Side orders can be suppressed by using:\n\n          - ``limitexec=None`` to suppress the *high side*\n\n          - ``stopexec=None`` to suppress the *low side*\n\n        Returns:\n\n          - A list containing the 3 orders [order, stop side, limit side]\n\n          - If high/low orders have been suppressed the return value will still\n            contain 3 orders, but those suppressed will have a value of\n            ``None``\n        '''\n\n        kargs = dict(size=size,\n                     data=data, price=price, plimit=plimit, exectype=exectype,\n                     valid=valid, tradeid=tradeid,\n                     trailamount=trailamount, trailpercent=trailpercent)\n        kargs.update(oargs)\n        kargs.update(kwargs)\n        kargs['transmit'] = limitexec is None and stopexec is None\n        o = self.buy(**kargs)\n\n        if stopexec is not None:\n            # low side / stop\n            kargs = dict(data=data, price=stopprice, exectype=stopexec,\n                         valid=valid, tradeid=tradeid)\n            kargs.update(stopargs)\n            kargs.update(kwargs)\n            kargs['parent'] = o\n            kargs['transmit'] = limitexec is None\n            kargs['size'] = o.size\n            ostop = self.sell(**kargs)\n        else:\n            ostop = None\n\n        if limitexec is not None:\n            # high side / limit\n            kargs = dict(data=data, price=limitprice, exectype=limitexec,\n                         valid=valid, tradeid=tradeid)\n            kargs.update(limitargs)\n            kargs.update(kwargs)\n            kargs['parent'] = o\n            kargs['transmit'] = True\n            kargs['size'] = o.size\n            olimit = self.sell(**kargs)\n        else:\n            olimit = None\n\n        return [o, ostop, olimit]\n\n    def sell_bracket(self, data=None,\n                     size=None, price=None, plimit=None,\n                     exectype=bt.Order.Limit, valid=None, tradeid=0,\n                     trailamount=None, trailpercent=None,\n                     oargs={},\n                     stopprice=None, stopexec=bt.Order.Stop, stopargs={},\n                     limitprice=None, limitexec=bt.Order.Limit, limitargs={},\n                     **kwargs):\n        '''\n        Create a bracket order group (low side - buy order - high side). The\n        default behavior is as follows:\n\n          - Issue a **sell** order with execution ``Limit``\n\n          - Issue a *high side* bracket **buy** order with execution ``Stop``\n\n          - Issue a *low side* bracket **buy** order with execution ``Limit``.\n\n        See ``bracket_buy`` for the meaning of the parameters\n\n        High/Low Side orders can be suppressed by using:\n\n          - ``stopexec=None`` to suppress the *high side*\n\n          - ``limitexec=None`` to suppress the *low side*\n\n        Returns:\n\n          - A list containing the 3 orders [order, stop side, limit side]\n\n          - If high/low orders have been suppressed the return value will still\n            contain 3 orders, but those suppressed will have a value of\n            ``None``\n        '''\n\n        kargs = dict(size=size,\n                     data=data, price=price, plimit=plimit, exectype=exectype,\n                     valid=valid, tradeid=tradeid,\n                     trailamount=trailamount, trailpercent=trailpercent)\n        kargs.update(oargs)\n        kargs.update(kwargs)\n        kargs['transmit'] = limitexec is None and stopexec is None\n        o = self.sell(**kargs)\n\n        if stopexec is not None:\n            # high side / stop\n            kargs = dict(data=data, price=stopprice, exectype=stopexec,\n                         valid=valid, tradeid=tradeid)\n            kargs.update(stopargs)\n            kargs.update(kwargs)\n            kargs['parent'] = o\n            kargs['transmit'] = limitexec is None  # transmit if last\n            kargs['size'] = o.size\n            ostop = self.buy(**kargs)\n        else:\n            ostop = None\n\n        if limitexec is not None:\n            # low side / limit\n            kargs = dict(data=data, price=limitprice, exectype=limitexec,\n                         valid=valid, tradeid=tradeid)\n            kargs.update(limitargs)\n            kargs.update(kwargs)\n            kargs['parent'] = o\n            kargs['transmit'] = True\n            kargs['size'] = o.size\n            olimit = self.buy(**kargs)\n        else:\n            olimit = None\n\n        return [o, ostop, olimit]\n\n    def order_target_size(self, data=None, target=0, **kwargs):\n        '''\n        Place an order to rebalance a position to have final size of ``target``\n\n        The current ``position`` size is taken into account as the start point\n        to achieve ``target``\n\n          - If ``target`` > ``pos.size`` -> buy ``target - pos.size``\n\n          - If ``target`` < ``pos.size`` -> sell ``pos.size - target``\n\n        It returns either:\n\n          - The generated order\n\n          or\n\n          - ``None`` if no order has been issued (``target == position.size``)\n        '''\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n        elif data is None:\n            data = self.data\n\n        possize = self.getposition(data, self.broker).size\n        if not target and possize:\n            return self.close(data=data, size=possize, **kwargs)\n\n        elif target > possize:\n            return self.buy(data=data, size=target - possize, **kwargs)\n\n        elif target < possize:\n            return self.sell(data=data, size=possize - target, **kwargs)\n\n        return None  # no execution target == possize\n\n    def order_target_value(self, data=None, target=0.0, price=None, **kwargs):\n        '''\n        Place an order to rebalance a position to have final value of\n        ``target``\n\n        The current ``value`` is taken into account as the start point to\n        achieve ``target``\n\n          - If no ``target`` then close postion on data\n          - If ``target`` > ``value`` then buy on data\n          - If ``target`` < ``value`` then sell on data\n\n        It returns either:\n\n          - The generated order\n\n          or\n\n          - ``None`` if no order has been issued\n        '''\n\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n        elif data is None:\n            data = self.data\n\n        possize = self.getposition(data, self.broker).size\n        if not target and possize:  # closing a position\n            return self.close(data=data, size=possize, price=price, **kwargs)\n\n        else:\n            value = self.broker.getvalue(datas=[data])\n            comminfo = self.broker.getcommissioninfo(data)\n\n            # Make sure a price is there\n            price = price if price is not None else data.close[0]\n\n            if target > value:\n                size = comminfo.getsize(price, target - value)\n                return self.buy(data=data, size=size, price=price, **kwargs)\n\n            elif target < value:\n                size = comminfo.getsize(price, value - target)\n                return self.sell(data=data, size=size, price=price, **kwargs)\n\n        return None  # no execution size == possize\n\n    def order_target_percent(self, data=None, target=0.0, **kwargs):\n        '''\n        Place an order to rebalance a position to have final value of\n        ``target`` percentage of current portfolio ``value``\n\n        ``target`` is expressed in decimal: ``0.05`` -> ``5%``\n\n        It uses ``order_target_value`` to execute the order.\n\n        Example:\n          - ``target=0.05`` and portfolio value is ``100``\n\n          - The ``value`` to be reached is ``0.05 * 100 = 5``\n\n          - ``5`` is passed as the ``target`` value to ``order_target_value``\n\n        The current ``value`` is taken into account as the start point to\n        achieve ``target``\n\n        The ``position.size`` is used to determine if a position is ``long`` /\n        ``short``\n\n          - If ``target`` > ``value``\n            - buy if ``pos.size >= 0`` (Increase a long position)\n            - sell if ``pos.size < 0`` (Increase a short position)\n\n          - If ``target`` < ``value``\n            - sell if ``pos.size >= 0`` (Decrease a long position)\n            - buy if ``pos.size < 0`` (Decrease a short position)\n\n        It returns either:\n\n          - The generated order\n\n          or\n\n          - ``None`` if no order has been issued (``target == position.size``)\n        '''\n        if isinstance(data, string_types):\n            data = self.getdatabyname(data)\n        elif data is None:\n            data = self.data\n\n        possize = self.getposition(data, self.broker).size\n        target *= self.broker.getvalue()\n\n        return self.order_target_value(data=data, target=target, **kwargs)\n\n    def getposition(self, data=None, broker=None):\n        '''\n        Returns the current position for a given data in a given broker.\n\n        If both are None, the main data and the default broker will be used\n\n        A property ``position`` is also available\n        '''\n        data = data if data is not None else self.datas[0]\n        broker = broker or self.broker\n        return broker.getposition(data)\n\n    position = property(getposition)\n\n    def getpositionbyname(self, name=None, broker=None):\n        '''\n        Returns the current position for a given name in a given broker.\n\n        If both are None, the main data and the default broker will be used\n\n        A property ``positionbyname`` is also available\n        '''\n        data = self.datas[0] if not name else self.getdatabyname(name)\n        broker = broker or self.broker\n        return broker.getposition(data)\n\n    positionbyname = property(getpositionbyname)\n\n    def getpositions(self, broker=None):\n        '''\n        Returns the current by data positions directly from the broker\n\n        If the given ``broker`` is None, the default broker will be used\n\n        A property ``positions`` is also available\n        '''\n        broker = broker or self.broker\n        return broker.positions\n\n    positions = property(getpositions)\n\n    def getpositionsbyname(self, broker=None):\n        '''\n        Returns the current by name positions directly from the broker\n\n        If the given ``broker`` is None, the default broker will be used\n\n        A property ``positionsbyname`` is also available\n        '''\n        broker = broker or self.broker\n        positions = broker.positions\n\n        posbyname = collections.OrderedDict()\n        for name, data in iteritems(self.env.datasbyname):\n            posbyname[name] = positions[data]\n\n        return posbyname\n\n    positionsbyname = property(getpositionsbyname)\n\n    def _addsizer(self, sizer, *args, **kwargs):\n        if sizer is None:\n            self.setsizer(bt.sizers.FixedSize())\n        else:\n            self.setsizer(sizer(*args, **kwargs))\n\n    def setsizer(self, sizer):\n        '''\n        Replace the default (fixed stake) sizer\n        '''\n        self._sizer = sizer\n        sizer.set(self, self.broker)\n        return sizer\n\n    def getsizer(self):\n        '''\n        Returns the sizer which is in used if automatic statke calculation is\n        used\n\n        Also available as ``sizer``\n        '''\n        return self._sizer\n\n    sizer = property(getsizer, setsizer)\n\n    def getsizing(self, data=None, isbuy=True):\n        '''\n        Return the stake calculated by the sizer instance for the current\n        situation\n        '''\n        data = data if data is not None else self.datas[0]\n        return self._sizer.getsizing(data, isbuy=isbuy)\n\n\nclass MetaSigStrategy(Strategy.__class__):\n\n    def __new__(meta, name, bases, dct):\n        # map user defined next to custom to be able to call own method before\n        if 'next' in dct:\n            dct['_next_custom'] = dct.pop('next')\n\n        cls = super(MetaSigStrategy, meta).__new__(meta, name, bases, dct)\n\n        # after class creation remap _next_catch to be next\n        cls.next = cls._next_catch\n        return cls\n\n    def dopreinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaSigStrategy, cls).dopreinit(_obj, *args, **kwargs)\n\n        _obj._signals = collections.defaultdict(list)\n\n        _data = _obj.p._data\n        if _data is None:\n            _obj._dtarget = _obj.data0\n        elif isinstance(_data, integer_types):\n            _obj._dtarget = _obj.datas[_data]\n        elif isinstance(_data, string_types):\n            _obj._dtarget = _obj.getdatabyname(_data)\n        elif isinstance(_data, bt.LineRoot):\n            _obj._dtarget = _data\n        else:\n            _obj._dtarget = _obj.data0\n\n        return _obj, args, kwargs\n\n    def dopostinit(cls, _obj, *args, **kwargs):\n        _obj, args, kwargs = \\\n            super(MetaSigStrategy, cls).dopostinit(_obj, *args, **kwargs)\n\n        for sigtype, sigcls, sigargs, sigkwargs in _obj.p.signals:\n            _obj._signals[sigtype].append(sigcls(*sigargs, **sigkwargs))\n\n        # Record types of signals\n        _obj._longshort = bool(_obj._signals[bt.SIGNAL_LONGSHORT])\n\n        _obj._long = bool(_obj._signals[bt.SIGNAL_LONG])\n        _obj._short = bool(_obj._signals[bt.SIGNAL_SHORT])\n\n        _obj._longexit = bool(_obj._signals[bt.SIGNAL_LONGEXIT])\n        _obj._shortexit = bool(_obj._signals[bt.SIGNAL_SHORTEXIT])\n\n        return _obj, args, kwargs\n\n\nclass SignalStrategy(with_metaclass(MetaSigStrategy, Strategy)):\n    '''This subclass of ``Strategy`` is meant to to auto-operate using\n    **signals**.\n\n    *Signals* are usually indicators and the expected output values:\n\n      - ``> 0`` is a ``long`` indication\n\n      - ``< 0`` is a ``short`` indication\n\n    There are 5 types of *Signals*, broken in 2 groups.\n\n    **Main Group**:\n\n      - ``LONGSHORT``: both ``long`` and ``short`` indications from this signal\n        are taken\n\n      - ``LONG``:\n        - ``long`` indications are taken to go long\n        - ``short`` indications are taken to *close* the long position. But:\n\n          - If a ``LONGEXIT`` (see below) signal is in the system it will be\n            used to exit the long\n\n          - If a ``SHORT`` signal is available and no ``LONGEXIT`` is available\n            , it will be used to close a ``long`` before opening a ``short``\n\n      - ``SHORT``:\n        - ``short`` indications are taken to go short\n        - ``long`` indications are taken to *close* the short position. But:\n\n          - If a ``SHORTEXIT`` (see below) signal is in the system it will be\n            used to exit the short\n\n          - If a ``LONG`` signal is available and no ``SHORTEXIT`` is available\n            , it will be used to close a ``short`` before opening a ``long``\n\n    **Exit Group**:\n\n      This 2 signals are meant to override others and provide criteria for\n      exitins a ``long``/``short`` position\n\n      - ``LONGEXIT``: ``short`` indications are taken to exit ``long``\n        positions\n\n      - ``SHORTEXIT``: ``long`` indications are taken to exit ``short``\n        positions\n\n    **Order Issuing**\n\n      Orders execution type is ``Market`` and validity is ``None`` (*Good until\n      Canceled*)\n\n    Params:\n\n      - ``signals`` (default: ``[]``): a list/tuple of lists/tuples that allows\n        the instantiation of the signals and allocation to the right type\n\n        This parameter is expected to be managed through ``cerebro.add_signal``\n\n      - ``_accumulate`` (default: ``False``): allow to enter the market\n        (long/short) even if already in the market\n\n      - ``_concurrent`` (default: ``False``): allow orders to be issued even if\n        orders are already pending execution\n\n      - ``_data`` (default: ``None``): if multiple datas are present in the\n        system which is the target for orders. This can be\n\n        - ``None``: The first data in the system will be used\n\n        - An ``int``: indicating the data that was inserted at that position\n\n        - An ``str``: name given to the data when creating it (parameter\n          ``name``) or when adding it cerebro with ``cerebro.adddata(...,\n          name=)``\n\n        - A ``data`` instance\n\n    '''\n\n    params = (\n        ('signals', []),\n        ('_accumulate', False),\n        ('_concurrent', False),\n        ('_data', None),\n    )\n\n    def _start(self):\n        self._sentinel = None  # sentinel for order concurrency\n        super(SignalStrategy, self)._start()\n\n    def signal_add(self, sigtype, signal):\n        self._signals[sigtype].append(signal)\n\n    def _notify(self, qorders=[], qtrades=[]):\n        # Nullify the sentinel if done\n        procorders = qorders or self._orderspending\n        if self._sentinel is not None:\n            for order in procorders:\n                if order == self._sentinel and not order.alive():\n                    self._sentinel = None\n                    break\n\n        super(SignalStrategy, self)._notify(qorders=qorders, qtrades=qtrades)\n\n    def _next_catch(self):\n        self._next_signal()\n        if hasattr(self, '_next_custom'):\n            self._next_custom()\n\n    def _next_signal(self):\n        if self._sentinel is not None and not self.p._concurrent:\n            return  # order active and more than 1 not allowed\n\n        sigs = self._signals\n        nosig = [[0.0]]\n\n        # Calculate current status of the signals\n        ls_long = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONGSHORT] or nosig)\n        ls_short = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONGSHORT] or nosig)\n\n        l_enter0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONG] or nosig)\n        l_enter1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONG_INV] or nosig)\n        l_enter2 = all(x[0] for x in sigs[bt.SIGNAL_LONG_ANY] or nosig)\n        l_enter = l_enter0 or l_enter1 or l_enter2\n\n        s_enter0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORT] or nosig)\n        s_enter1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORT_INV] or nosig)\n        s_enter2 = all(x[0] for x in sigs[bt.SIGNAL_SHORT_ANY] or nosig)\n        s_enter = s_enter0 or s_enter1 or s_enter2\n\n        l_ex0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONGEXIT] or nosig)\n        l_ex1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONGEXIT_INV] or nosig)\n        l_ex2 = all(x[0] for x in sigs[bt.SIGNAL_LONGEXIT_ANY] or nosig)\n        l_exit = l_ex0 or l_ex1 or l_ex2\n\n        s_ex0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORTEXIT] or nosig)\n        s_ex1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORTEXIT_INV] or nosig)\n        s_ex2 = all(x[0] for x in sigs[bt.SIGNAL_SHORTEXIT_ANY] or nosig)\n        s_exit = s_ex0 or s_ex1 or s_ex2\n\n        # Use oppossite signales to start reversal (by closing)\n        # but only if no \"xxxExit\" exists\n        l_rev = not self._longexit and s_enter\n        s_rev = not self._shortexit and l_enter\n\n        # Opposite of individual long and short\n        l_leav0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONG] or nosig)\n        l_leav1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONG_INV] or nosig)\n        l_leav2 = all(x[0] for x in sigs[bt.SIGNAL_LONG_ANY] or nosig)\n        l_leave = l_leav0 or l_leav1 or l_leav2\n\n        s_leav0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORT] or nosig)\n        s_leav1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORT_INV] or nosig)\n        s_leav2 = all(x[0] for x in sigs[bt.SIGNAL_SHORT_ANY] or nosig)\n        s_leave = s_leav0 or s_leav1 or s_leav2\n\n        # Invalidate long leave if longexit signals are available\n        l_leave = not self._longexit and l_leave\n        # Invalidate short leave if shortexit signals are available\n        s_leave = not self._shortexit and s_leave\n\n        # Take size and start logic\n        size = self.getposition(self._dtarget).size\n        if not size:\n            if ls_long or l_enter:\n                self._sentinel = self.buy(self._dtarget)\n\n            elif ls_short or s_enter:\n                self._sentinel = self.sell(self._dtarget)\n\n        elif size > 0:  # current long position\n            if ls_short or l_exit or l_rev or l_leave:\n                # closing position - not relevant for concurrency\n                self.close(self._dtarget)\n\n            if ls_short or l_rev:\n                self._sentinel = self.sell(self._dtarget)\n\n            if ls_long or l_enter:\n                if self.p._accumulate:\n                    self._sentinel = self.buy(self._dtarget)\n\n        elif size < 0:  # current short position\n            if ls_long or s_exit or s_rev or s_leave:\n                # closing position - not relevant for concurrency\n                self.close(self._dtarget)\n\n            if ls_long or s_rev:\n                self._sentinel = self.buy(self._dtarget)\n\n            if ls_short or s_enter:\n                if self.p._accumulate:\n                    self._sentinel = self.sell(self._dtarget)\n"
  },
  {
    "path": "backtrader/studies/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom backtrader import Indicator\n"
  },
  {
    "path": "backtrader/studies/contrib/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\n\nfrom .import fractal as fractal\nfor name in fractal.__all__:\n    setattr(bt.studies, name, getattr(fractal, name))\n"
  },
  {
    "path": "backtrader/studies/contrib/fractal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n# (based on backtrader from Daniel Rodriguez)\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n\nimport backtrader as bt\n\n\n__all__ = ['Fractal']\n\n\nclass Fractal(bt.ind.PeriodN):\n    '''\n    References:\n        [Ref 1] http://www.investopedia.com/articles/trading/06/fractals.asp\n\n    '''\n    lines = ('fractal_bearish', 'fractal_bullish')\n\n    plotinfo = dict(subplot=False, plotlinelabels=False, plot=True)\n\n    plotlines = dict(\n        fractal_bearish=dict(marker='^', markersize=4.0, color='lightblue',\n                             fillstyle='full', ls=''),\n        fractal_bullish=dict(marker='v', markersize=4.0, color='lightblue',\n                             fillstyle='full', ls='')\n    )\n    params = (\n        ('period', 5),\n        ('bardist', 0.015),  # distance to max/min in absolute perc\n        ('shift_to_potential_fractal', 2),\n    )\n\n    def next(self):\n        # A bearish turning point occurs when there is a pattern with the\n        # highest high in the middle and two lower highs on each side. [Ref 1]\n\n        last_five_highs = self.data.high.get(size=self.p.period)\n        max_val = max(last_five_highs)\n        max_idx = last_five_highs.index(max_val)\n\n        if max_idx == self.p.shift_to_potential_fractal:\n            self.lines.fractal_bearish[-2] = max_val * (1 + self.p.bardist)\n\n        # A bullish turning point occurs when there is a pattern with the\n        # lowest low in the middle and two higher lowers on each side. [Ref 1]\n        last_five_lows = self.data.low.get(size=self.p.period)\n        min_val = min(last_five_lows)\n        min_idx = last_five_lows.index(min_val)\n\n        if min_idx == self.p.shift_to_potential_fractal:\n            self.l.fractal_bullish[-2] = min_val * (1 - self.p.bardist)\n"
  },
  {
    "path": "backtrader/talib.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# The modules below should/must define __all__ with the objects wishes\n# or prepend an \"_\" (underscore) to private classes/variables\n\nimport sys\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import with_metaclass\n\n\ntry:\n    import talib\nexcept ImportError:\n    __all__ = []  # talib is not available\nelse:\n    import numpy as np  # talib dependency\n    import talib.abstract\n\n    MA_Type = talib.MA_Type\n\n    # Reverse TA_FUNC_FLAGS dict\n    R_TA_FUNC_FLAGS = dict(\n        zip(talib.abstract.TA_FUNC_FLAGS.values(),\n            talib.abstract.TA_FUNC_FLAGS.keys()))\n\n    FUNC_FLAGS_SAMESCALE = 16777216\n    FUNC_FLAGS_UNSTABLE = 134217728\n    FUNC_FLAGS_CANDLESTICK = 268435456\n\n    R_TA_OUTPUT_FLAGS = dict(\n        zip(talib.abstract.TA_OUTPUT_FLAGS.values(),\n            talib.abstract.TA_OUTPUT_FLAGS.keys()))\n\n    OUT_FLAGS_LINE = 1\n    OUT_FLAGS_DOTTED = 2\n    OUT_FLAGS_DASH = 4\n    OUT_FLAGS_HISTO = 16\n    OUT_FLAGS_UPPER = 2048\n    OUT_FLAGS_LOWER = 4096\n\n    # Generate all indicators as subclasses\n\n    class _MetaTALibIndicator(bt.Indicator.__class__):\n        _refname = '_taindcol'\n        _taindcol = dict()\n\n        _KNOWN_UNSTABLE = ['SAR']\n\n        def dopostinit(cls, _obj, *args, **kwargs):\n            # Go to parent\n            res = super(_MetaTALibIndicator, cls).dopostinit(_obj,\n                                                             *args, **kwargs)\n            _obj, args, kwargs = res\n\n            # Get the minimum period by using the abstract interface and params\n            _obj._tabstract.set_function_args(**_obj.p._getkwargs())\n            _obj._lookback = lookback = _obj._tabstract.lookback + 1\n            _obj.updateminperiod(lookback)\n            if _obj._unstable:\n                _obj._lookback = 0\n\n            elif cls.__name__ in cls._KNOWN_UNSTABLE:\n                _obj._lookback = 0\n\n            cerebro = bt.metabase.findowner(_obj, bt.Cerebro)\n            tafuncinfo = _obj._tabstract.info\n            _obj._tafunc = getattr(talib, tafuncinfo['name'], None)\n            return _obj, args, kwargs  # return the object and args\n\n    class _TALibIndicator(with_metaclass(_MetaTALibIndicator, bt.Indicator)):\n        CANDLEOVER = 1.02  # 2% over\n        CANDLEREF = 1  # Open, High, Low, Close (0, 1, 2, 3)\n\n        @classmethod\n        def _subclass(cls, name):\n            # Module where the class has to end (namely this one)\n            clsmodule = sys.modules[cls.__module__]\n\n            # Create an abstract interface to get lines names\n            _tabstract = talib.abstract.Function(name)\n\n            # Variables about the the info learnt from func_flags\n            iscandle = False\n            unstable = False\n\n            # Prepare plotinfo\n            plotinfo = dict()\n            fflags = _tabstract.function_flags or []\n            for fflag in fflags:\n                rfflag = R_TA_FUNC_FLAGS[fflag]\n                if rfflag == FUNC_FLAGS_SAMESCALE:\n                    plotinfo['subplot'] = False\n                elif rfflag == FUNC_FLAGS_UNSTABLE:\n                    unstable = True\n                elif rfflag == FUNC_FLAGS_CANDLESTICK:\n                    plotinfo['subplot'] = False\n                    plotinfo['plotlinelabels'] = True\n                    iscandle = True\n\n            # Prepare plotlines\n            lines = _tabstract.output_names\n            output_flags = _tabstract.output_flags\n            plotlines = dict()\n            samecolor = False\n            for lname in lines:\n                oflags = output_flags.get(lname, None)\n                pline = dict()\n                for oflag in oflags or []:\n                    orflag = R_TA_OUTPUT_FLAGS[oflag]\n                    if orflag & OUT_FLAGS_LINE:\n                        if not iscandle:\n                            pline['ls'] = '-'\n                        else:\n                            pline['_plotskip'] = True  # do not plot candles\n\n                    elif orflag & OUT_FLAGS_DASH:\n                        pline['ls'] = '--'\n                    elif orflag & OUT_FLAGS_DOTTED:\n                        pline['ls'] = ':'\n                    elif orflag & OUT_FLAGS_HISTO:\n                        pline['_method'] = 'bar'\n\n                    if samecolor:\n                        pline['_samecolor'] = True\n\n                    if orflag & OUT_FLAGS_LOWER:\n                        samecolor = False\n\n                    elif orflag & OUT_FLAGS_UPPER:\n                        samecolor = True  # last: other values in loop are seen\n\n                if pline:  # the dict has something\n                    plotlines[lname] = pline\n\n            if iscandle:\n                # This is the line that will be plotted when the output of the\n                # indicator is a candle. The values of a candle (100) will be\n                # used to plot a sign above the maximum of the bar which\n                # produces the candle\n                pline = dict()\n                pline['_name'] = name  # plotted name\n                lname = '_candleplot'  # change name\n                lines.append(lname)\n                pline['ls'] = ''\n                pline['marker'] = 'd'\n                pline['markersize'] = '7.0'\n                pline['fillstyle'] = 'full'\n                plotlines[lname] = pline\n\n            # Prepare dictionary for subclassing\n            clsdict = {\n                '__module__': cls.__module__,\n                '__doc__': str(_tabstract),\n                '_tabstract': _tabstract,  # keep ref for lookback calcs\n                '_iscandle': iscandle,\n                '_unstable': unstable,\n                'params': _tabstract.get_parameters(),\n                'lines': tuple(lines),\n                'plotinfo': plotinfo,\n                'plotlines': plotlines,\n            }\n            newcls = type(str(name), (cls,), clsdict)  # subclass\n            setattr(clsmodule, str(name), newcls)  # add to module\n\n        def oncestart(self, start, end):\n            pass  # if not ... a call with a single value to once will happen\n\n        def once(self, start, end):\n            import array\n\n            # prepare the data arrays - single shot\n            narrays = [np.array(x.lines[0].array) for x in self.datas]\n            # Execute\n            output = self._tafunc(*narrays, **self.p._getkwargs())\n\n            fsize = self.size()\n            lsize = fsize - self._iscandle\n            if lsize == 1:  # only 1 output, no tuple returned\n                self.lines[0].array = array.array(str('d'), output)\n\n                if fsize > lsize:  # candle is present\n                    candleref = narrays[self.CANDLEREF] * self.CANDLEOVER\n                    output2 = candleref * (output / 100.0)\n                    self.lines[1].array = array.array(str('d'), output2)\n\n            else:\n                for i, o in enumerate(output):\n                    self.lines[i].array = array.array(str('d'), o)\n\n        def next(self):\n            # prepare the data arrays - single shot\n            size = self._lookback or len(self)\n            narrays = [np.array(x.lines[0].get(size=size)) for x in self.datas]\n\n            out = self._tafunc(*narrays, **self.p._getkwargs())\n\n            fsize = self.size()\n            lsize = fsize - self._iscandle\n            if lsize == 1:  # only 1 output, no tuple returned\n                self.lines[0][0] = o = out[-1]\n\n                if fsize > lsize:  # candle is present\n                    candleref = narrays[self.CANDLEREF][-1] * self.CANDLEOVER\n                    o2 = candleref * (o / 100.0)\n                    self.lines[1][0] = o2\n\n            else:\n                for i, o in enumerate(out):\n                    self.lines[i][0] = o[-1]\n\n    # When importing the module do an automatic declaration of thed\n    tafunctions = talib.get_functions()\n    for tafunc in tafunctions:\n        _TALibIndicator._subclass(tafunc)\n\n    __all__ = tafunctions + ['MA_Type', '_TALibIndicator']\n"
  },
  {
    "path": "backtrader/timer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport bisect\nimport collections\nfrom datetime import date, datetime, timedelta\nfrom itertools import islice\n\nfrom .feed import AbstractDataBase\nfrom .metabase import MetaParams\nfrom .utils import date2num, num2date\nfrom .utils.py3 import integer_types, range, with_metaclass\nfrom .utils import TIME_MAX\n\n\n__all__ = ['SESSION_TIME', 'SESSION_START', 'SESSION_END', 'Timer']\n\nSESSION_TIME, SESSION_START, SESSION_END = range(3)\n\n\nclass Timer(with_metaclass(MetaParams, object)):\n    params = (\n        ('tid', None),\n        ('owner', None),\n        ('strats', False),\n        ('when', None),\n        ('offset', timedelta()),\n        ('repeat', timedelta()),\n        ('weekdays', []),\n        ('weekcarry', False),\n        ('monthdays', []),\n        ('monthcarry', True),\n        ('allow', None),  # callable that allows a timer to take place\n        ('tzdata', None),\n        ('cheat', False),\n    )\n\n    SESSION_TIME, SESSION_START, SESSION_END = range(3)\n\n    def __init__(self, *args, **kwargs):\n        self.args = args\n        self.kwargs = kwargs\n\n    def start(self, data):\n        # write down the 'reset when' value\n        if not isinstance(self.p.when, integer_types):  # expect time/datetime\n            self._rstwhen = self.p.when\n            self._tzdata = self.p.tzdata\n        else:\n            self._tzdata = data if self.p.tzdata is None else self.p.tzdata\n\n            if self.p.when == SESSION_START:\n                self._rstwhen = self._tzdata.p.sessionstart\n            elif self.p.when == SESSION_END:\n                self._rstwhen = self._tzdata.p.sessionend\n\n        self._isdata = isinstance(self._tzdata, AbstractDataBase)\n        self._reset_when()\n\n        self._nexteos = datetime.min\n        self._curdate = date.min\n\n        self._curmonth = -1  # non-existent month\n        self._monthmask = collections.deque()\n\n        self._curweek = -1  # non-existent week\n        self._weekmask = collections.deque()\n\n    def _reset_when(self, ddate=datetime.min):\n        self._when = self._rstwhen\n        self._dtwhen = self._dwhen = None\n\n        self._lastcall = ddate\n\n    def _check_month(self, ddate):\n        if not self.p.monthdays:\n            return True\n\n        mask = self._monthmask\n        daycarry = False\n        dmonth = ddate.month\n        if dmonth != self._curmonth:\n            self._curmonth = dmonth  # write down new month\n            daycarry = self.p.monthcarry and bool(mask)\n            self._monthmask = mask = collections.deque(self.p.monthdays)\n\n        dday = ddate.day\n        dc = bisect.bisect_left(mask, dday)  # \"left\" for days before dday\n        daycarry = daycarry or (self.p.monthcarry and dc > 0)\n        if dc < len(mask):\n            curday = bisect.bisect_right(mask, dday, lo=dc) > 0  # check dday\n            dc += curday\n        else:\n            curday = False\n\n        while dc:\n            mask.popleft()\n            dc -= 1\n\n        return daycarry or curday\n\n    def _check_week(self, ddate=date.min):\n        if not self.p.weekdays:\n            return True\n\n        _, dweek, dwkday = ddate.isocalendar()\n\n        mask = self._weekmask\n        daycarry = False\n        if dweek != self._curweek:\n            self._curweek = dweek  # write down new month\n            daycarry = self.p.weekcarry and bool(mask)\n            self._weekmask = mask = collections.deque(self.p.weekdays)\n\n        dc = bisect.bisect_left(mask, dwkday)  # \"left\" for days before dday\n        daycarry = daycarry or (self.p.weekcarry and dc > 0)\n        if dc < len(mask):\n            curday = bisect.bisect_right(mask, dwkday, lo=dc) > 0  # check dday\n            dc += curday\n        else:\n            curday = False\n\n        while dc:\n            mask.popleft()\n            dc -= 1\n\n        return daycarry or curday\n\n    def check(self, dt):\n        d = num2date(dt)\n        ddate = d.date()\n        if self._lastcall == ddate:  # not repeating, awaiting date change\n            return False\n\n        if d > self._nexteos:\n            if self._isdata:  # eos provided by data\n                nexteos, _ = self._tzdata._getnexteos()\n            else:  # generic eos\n                nexteos = datetime.combine(ddate, TIME_MAX)\n            self._nexteos = nexteos\n            self._reset_when()\n\n        if ddate > self._curdate:  # day change\n            self._curdate = ddate\n            ret = self._check_month(ddate)\n            if ret:\n                ret = self._check_week(ddate)\n            if ret and self.p.allow is not None:\n                ret = self.p.allow(ddate)\n\n            if not ret:\n                self._reset_when(ddate)  # this day won't make it\n                return False  # timer target not met\n\n        # no day change or passed month, week and allow filters on date change\n        dwhen = self._dwhen\n        dtwhen = self._dtwhen\n        if dtwhen is None:\n            dwhen = datetime.combine(ddate, self._when)\n            if self.p.offset:\n                dwhen += self.p.offset\n\n            self._dwhen = dwhen\n\n            if self._isdata:\n                self._dtwhen = dtwhen = self._tzdata.date2num(dwhen)\n            else:\n                self._dtwhen = dtwhen = date2num(dwhen, tz=self._tzdata)\n\n        if dt < dtwhen:\n            return False  # timer target not met\n\n        self.lastwhen = dwhen  # record when the last timer \"when\" happened\n\n        if not self.p.repeat:  # cannot repeat\n            self._reset_when(ddate)  # reset and mark as called on ddate\n        else:\n            if d > self._nexteos:\n                if self._isdata:  # eos provided by data\n                    nexteos, _ = self._tzdata._getnexteos()\n                else:  # generic eos\n                    nexteos = datetime.combine(ddate, TIME_MAX)\n\n                self._nexteos = nexteos\n            else:\n                nexteos = self._nexteos\n\n            while True:\n                dwhen += self.p.repeat\n                if dwhen > nexteos:  # new schedule is beyone session\n                    self._reset_when(ddate)  # reset to original point\n                    break\n\n                if dwhen > d:  # gone over current datetime\n                    self._dtwhen = dtwhen = date2num(dwhen)  # float timestamp\n                    # Get the localized expected next time\n                    if self._isdata:\n                        self._dwhen = self._tzdata.num2date(dtwhen)\n                    else:  # assume pytz compatible or None\n                        self._dwhen = num2date(dtwhen, tz=self._tzdata)\n\n                    break\n\n        return True  # timer target was met\n"
  },
  {
    "path": "backtrader/trade.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport itertools\n\nfrom .utils import AutoOrderedDict\nfrom .utils.date import num2date\nfrom .utils.py3 import range\n\n\nclass TradeHistory(AutoOrderedDict):\n    '''Represents the status and update event for each update a Trade has\n\n    This object is a dictionary which allows '.' notation\n\n    Attributes:\n      - ``status`` (``dict`` with '.' notation): Holds the resulting status of\n        an update event and has the following sub-attributes\n\n        - ``status`` (``int``): Trade status\n        - ``dt`` (``float``): float coded datetime\n        - ``barlen`` (``int``): number of bars the trade has been active\n        - ``size`` (``int``): current size of the Trade\n        - ``price`` (``float``): current price of the Trade\n        - ``value`` (``float``): current monetary value of the Trade\n        - ``pnl`` (``float``): current profit and loss of the Trade\n        - ``pnlcomm`` (``float``): current profit and loss minus commission\n\n      - ``event`` (``dict`` with '.' notation): Holds the event update\n        - parameters\n\n        - ``order`` (``object``): the order which initiated the``update``\n        - ``size`` (``int``): size of the update\n        - ``price`` (``float``):price of the update\n        - ``commission`` (``float``): price of the update\n    '''\n\n    def __init__(self,\n                 status, dt, barlen, size, price, value, pnl, pnlcomm, tz, event=None):\n        '''Initializes the object to the current status of the Trade'''\n        super(TradeHistory, self).__init__()\n        self.status.status = status\n        self.status.dt = dt\n        self.status.barlen = barlen\n        self.status.size = size\n        self.status.price = price\n        self.status.value = value\n        self.status.pnl = pnl\n        self.status.pnlcomm = pnlcomm\n        self.status.tz = tz\n        if event is not None:\n            self.event = event\n\n    def __reduce__(self):\n        return (self.__class__, (self.status.status, self.status.dt, self.status.barlen, self.status.size,\n                                 self.status.price, self.status.value, self.status.pnl, self.status.pnlcomm,\n                                 self.status.tz, self.event, ))\n\n    def doupdate(self, order, size, price, commission):\n        '''Used to fill the ``update`` part of the history entry'''\n        self.event.order = order\n        self.event.size = size\n        self.event.price = price\n        self.event.commission = commission\n\n        # Do not allow updates (avoids typing errors)\n        self._close()\n\n    def datetime(self, tz=None, naive=True):\n        '''Returns a datetime for the time the update event happened'''\n        return num2date(self.status.dt, tz or self.status.tz, naive)\n\n\nclass Trade(object):\n    '''Keeps track of the life of an trade: size, price,\n    commission (and value?)\n\n    An trade starts at 0 can be increased and reduced and can\n    be considered closed if it goes back to 0.\n\n    The trade can be long (positive size) or short (negative size)\n\n    An trade is not meant to be reversed (no support in the logic for it)\n\n    Member Attributes:\n\n      - ``ref``: unique trade identifier\n      - ``status`` (``int``): one of Created, Open, Closed\n      - ``tradeid``: grouping tradeid passed to orders during creation\n        The default in orders is 0\n      - ``size`` (``int``): current size of the trade\n      - ``price`` (``float``): current price of the trade\n      - ``value`` (``float``): current value of the trade\n      - ``commission`` (``float``): current accumulated commission\n      - ``pnl`` (``float``): current profit and loss of the trade (gross pnl)\n      - ``pnlcomm`` (``float``): current profit and loss of the trade minus\n        commission (net pnl)\n      - ``isclosed`` (``bool``): records if the last update closed (set size to\n        null the trade\n      - ``isopen`` (``bool``): records if any update has opened the trade\n      - ``justopened`` (``bool``): if the trade was just opened\n      - ``baropen`` (``int``): bar in which this trade was opened\n\n      - ``dtopen`` (``float``): float coded datetime in which the trade was\n        opened\n\n        - Use method ``open_datetime`` to get a Python datetime.datetime\n          or use the platform provided ``num2date`` method\n\n      - ``barclose`` (``int``): bar in which this trade was closed\n\n      - ``dtclose`` (``float``): float coded datetime in which the trade was\n        closed\n\n        - Use method ``close_datetime`` to get a Python datetime.datetime\n          or use the platform provided ``num2date`` method\n\n      - ``barlen`` (``int``): number of bars this trade was open\n      - ``historyon`` (``bool``): whether history has to be recorded\n      - ``history`` (``list``): holds a list updated with each \"update\" event\n        containing the resulting status and parameters used in the update\n\n        The first entry in the history is the Opening Event\n        The last entry in the history is the Closing Event\n\n    '''\n    refbasis = itertools.count(1)\n\n    status_names = ['Created', 'Open', 'Closed']\n    Created, Open, Closed = range(3)\n\n    def __str__(self):\n        toprint = (\n            'ref', 'data', 'tradeid',\n            'size', 'price', 'value', 'commission', 'pnl', 'pnlcomm',\n            'justopened', 'isopen', 'isclosed',\n            'baropen', 'dtopen', 'barclose', 'dtclose', 'barlen',\n            'historyon', 'history',\n            'status')\n\n        return '\\n'.join(\n            (':'.join((x, str(getattr(self, x)))) for x in toprint)\n        )\n\n    def __init__(self, data=None, tradeid=0, historyon=False,\n                 size=0, price=0.0, value=0.0, commission=0.0):\n\n        self.ref = next(self.refbasis)\n        self.data = data\n        self.tradeid = tradeid\n        self.size = size\n        self.price = price\n        self.value = value\n        self.commission = commission\n\n        self.pnl = 0.0\n        self.pnlcomm = 0.0\n\n        self.justopened = False\n        self.isopen = False\n        self.isclosed = False\n\n        self.baropen = 0\n        self.dtopen = 0.0\n        self.barclose = 0\n        self.dtclose = 0.0\n        self.barlen = 0\n\n        self.historyon = historyon\n        self.history = list()\n\n        self.status = self.Created\n\n    def __len__(self):\n        '''Absolute size of the trade'''\n        return abs(self.size)\n\n    def __bool__(self):\n        '''Trade size is not 0'''\n        return self.size != 0\n\n    __nonzero__ = __bool__\n\n    def getdataname(self):\n        '''Shortcut to retrieve the name of the data this trade references'''\n        return self.data._name\n\n    def open_datetime(self, tz=None, naive=True):\n        '''Returns a datetime.datetime object with the datetime in which\n        the trade was opened\n        '''\n        return self.data.num2date(self.dtopen, tz=tz, naive=naive)\n\n    def close_datetime(self, tz=None, naive=True):\n        '''Returns a datetime.datetime object with the datetime in which\n        the trade was closed\n        '''\n        return self.data.num2date(self.dtclose, tz=tz, naive=naive)\n\n    def update(self, order, size, price, value, commission, pnl,\n               comminfo):\n        '''\n        Updates the current trade. The logic does not check if the\n        trade is reversed, which is not conceptually supported by the\n        object.\n\n        If an update sets the size attribute to 0, \"closed\" will be\n        set to true\n\n        Updates may be received twice for each order, once for the existing\n        size which has been closed (sell undoing a buy) and a second time for\n        the the opening part (sell reversing a buy)\n\n        Args:\n            order: the order object which has (completely or partially)\n                generated this update\n            size (int): amount to update the order\n                if size has the same sign as the current trade a\n                position increase will happen\n                if size has the opposite sign as current op size a\n                reduction/close will happen\n\n            price (float): always be positive to ensure consistency\n            value (float): (unused) cost incurred in new size/price op\n                           Not used because the value is calculated for the\n                           trade\n            commission (float): incurred commission in the new size/price op\n            pnl (float): (unused) generated by the executed part\n                         Not used because the trade has an independent pnl\n        '''\n        if not size:\n            return  # empty update, skip all other calculations\n\n        # Commission can only increase\n        self.commission += commission\n\n        # Update size and keep a reference for logic an calculations\n        oldsize = self.size\n        self.size += size  # size will carry the opposite sign if reducing\n\n        # Check if it has been currently opened\n        self.justopened = bool(not oldsize and size)\n\n        if self.justopened:\n            self.baropen = len(self.data)\n            self.dtopen = 0.0 if order.p.simulated else self.data.datetime[0]\n            self.long = self.size > 0\n\n        # Any size means the trade was opened\n        self.isopen = bool(self.size)\n\n        # Update current trade length\n        self.barlen = len(self.data) - self.baropen\n\n        # record if the position was closed (set to null)\n        self.isclosed = bool(oldsize and not self.size)\n\n        # record last bar for the trade\n        if self.isclosed:\n            self.isopen = False\n            self.barclose = len(self.data)\n            self.dtclose = self.data.datetime[0]\n\n            self.status = self.Closed\n        elif self.isopen:\n            self.status = self.Open\n\n        if abs(self.size) > abs(oldsize):\n            # position increased (be it positive or negative)\n            # update the average price\n            self.price = (oldsize * self.price + size * price) / self.size\n            pnl = 0.0\n\n        else:  # abs(self.size) < abs(oldsize)\n            # position reduced/closed\n            pnl = comminfo.profitandloss(-size, self.price, price)\n\n        self.pnl += pnl\n        self.pnlcomm = self.pnl - self.commission\n\n        self.value = comminfo.getvaluesize(self.size, self.price)\n\n        # Update the history if needed\n        if self.historyon:\n            dt0 = self.data.datetime[0] if not order.p.simulated else 0.0\n            histentry = TradeHistory(\n                self.status, dt0, self.barlen,\n                self.size, self.price, self.value,\n                self.pnl, self.pnlcomm, self.data._tz)\n            histentry.doupdate(order, size, price, commission)\n            self.history.append(histentry)\n"
  },
  {
    "path": "backtrader/tradingcal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom datetime import datetime, timedelta, time\n\nfrom .metabase import MetaParams\nfrom backtrader.utils.py3 import string_types, with_metaclass\nfrom backtrader.utils import UTC\n\n__all__ = ['TradingCalendarBase', 'TradingCalendar', 'PandasMarketCalendar']\n\n# Imprecission in the full time conversion to float would wrap over to next day\n# if microseconds is 999999 as defined in time.max\n_time_max = time(hour=23, minute=59, second=59, microsecond=999990)\n\n\nMONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY = range(7)\n(ISONODAY, ISOMONDAY, ISOTUESDAY, ISOWEDNESDAY, ISOTHURSDAY, ISOFRIDAY,\n ISOSATURDAY, ISOSUNDAY) = range(8)\n\nWEEKEND = [SATURDAY, SUNDAY]\nISOWEEKEND = [ISOSATURDAY, ISOSUNDAY]\nONEDAY = timedelta(days=1)\n\n\nclass TradingCalendarBase(with_metaclass(MetaParams, object)):\n    def _nextday(self, day):\n        '''\n        Returns the next trading day (datetime/date instance) after ``day``\n        (datetime/date instance) and the isocalendar components\n\n        The return value is a tuple with 2 components: (nextday, (y, w, d))\n        '''\n        raise NotImplementedError\n\n    def schedule(self, day):\n        '''\n        Returns a tuple with the opening and closing times (``datetime.time``)\n        for the given ``date`` (``datetime/date`` instance)\n        '''\n        raise NotImplementedError\n\n    def nextday(self, day):\n        '''\n        Returns the next trading day (datetime/date instance) after ``day``\n        (datetime/date instance)\n        '''\n        return self._nextday(day)[0]  # 1st ret elem is next day\n\n    def nextday_week(self, day):\n        '''\n        Returns the iso week number of the next trading day, given a ``day``\n        (datetime/date) instance\n        '''\n        self._nextday(day)[1][1]  # 2 elem is isocal / 0 - y, 1 - wk, 2 - day\n\n    def last_weekday(self, day):\n        '''\n        Returns ``True`` if the given ``day`` (datetime/date) instance is the\n        last trading day of this week\n        '''\n        # Next day must be greater than day. If the week changes is enough for\n        # a week change even if the number is smaller (year change)\n        return day.isocalendar()[1] != self._nextday(day)[1][1]\n\n    def last_monthday(self, day):\n        '''\n        Returns ``True`` if the given ``day`` (datetime/date) instance is the\n        last trading day of this month\n        '''\n        # Next day must be greater than day. If the week changes is enough for\n        # a week change even if the number is smaller (year change)\n        return day.month != self._nextday(day)[0].month\n\n    def last_yearday(self, day):\n        '''\n        Returns ``True`` if the given ``day`` (datetime/date) instance is the\n        last trading day of this month\n        '''\n        # Next day must be greater than day. If the week changes is enough for\n        # a week change even if the number is smaller (year change)\n        return day.year != self._nextday(day)[0].year\n\n\nclass TradingCalendar(TradingCalendarBase):\n    '''\n    Wrapper of ``pandas_market_calendars`` for a trading calendar. The package\n    ``pandas_market_calendar`` must be installed\n\n    Params:\n\n      - ``open`` (default ``time.min``)\n\n        Regular start of the session\n\n      - ``close`` (default ``time.max``)\n\n        Regular end of the session\n\n      - ``holidays`` (default ``[]``)\n\n        List of non-trading days (``datetime.datetime`` instances)\n\n      - ``earlydays`` (default ``[]``)\n\n        List of tuples determining the date and opening/closing times of days\n        which do not conform to the regular trading hours where each tuple has\n        (``datetime.datetime``, ``datetime.time``, ``datetime.time`` )\n\n      - ``offdays`` (default ``ISOWEEKEND``)\n\n        A list of weekdays in ISO format (Monday: 1 -> Sunday: 7) in which the\n        market doesn't trade. This is usually Saturday and Sunday and hence the\n        default\n\n    '''\n    params = (\n        ('open', time.min),\n        ('close', _time_max),\n        ('holidays', []),  # list of non trading days (date)\n        ('earlydays', []),  # list of tuples (date, opentime, closetime)\n        ('offdays', ISOWEEKEND),  # list of non trading (isoweekdays)\n    )\n\n    def __init__(self):\n        self._earlydays = [x[0] for x in self.p.earlydays]  # speed up searches\n\n    def _nextday(self, day):\n        '''\n        Returns the next trading day (datetime/date instance) after ``day``\n        (datetime/date instance) and the isocalendar components\n\n        The return value is a tuple with 2 components: (nextday, (y, w, d))\n        '''\n        while True:\n            day += ONEDAY\n            isocal = day.isocalendar()\n            if isocal[2] in self.p.offdays or day in self.p.holidays:\n                continue\n\n            return day, isocal\n\n    def schedule(self, day, tz=None):\n        '''\n        Returns the opening and closing times for the given ``day``. If the\n        method is called, the assumption is that ``day`` is an actual trading\n        day\n\n        The return value is a tuple with 2 components: opentime, closetime\n        '''\n        while True:\n            dt = day.date()\n            try:\n                i = self._earlydays.index(dt)\n                o, c = self.p.earlydays[i][1:]\n            except ValueError:  # not found\n                o, c = self.p.open, self.p.close\n\n            closing = datetime.combine(dt, c)\n            if tz is not None:\n                closing = tz.localize(closing).astimezone(UTC)\n                closing = closing.replace(tzinfo=None)\n\n            if day > closing:  # current time over eos\n                day += ONEDAY\n                continue\n\n            opening = datetime.combine(dt, o)\n            if tz is not None:\n                opening = tz.localize(opening).astimezone(UTC)\n                opening = opening.replace(tzinfo=None)\n\n            return opening, closing\n\n\nclass PandasMarketCalendar(TradingCalendarBase):\n    '''\n    Wrapper of ``pandas_market_calendars`` for a trading calendar. The package\n    ``pandas_market_calendar`` must be installed\n\n    Params:\n\n      - ``calendar`` (default ``None``)\n\n        The param ``calendar`` accepts the following:\n\n        - string: the name of one of the calendars supported, for example\n          `NYSE`. The wrapper will attempt to get a calendar instance\n\n        - calendar instance: as returned by ``get_calendar('NYSE')``\n\n      - ``cachesize`` (default ``365``)\n\n        Number of days to cache in advance for lookup\n\n    See also:\n\n      - https://github.com/rsheftel/pandas_market_calendars\n\n      - http://pandas-market-calendars.readthedocs.io/\n\n    '''\n    params = (\n        ('calendar', None),  # A pandas_market_calendars instance or exch name\n        ('cachesize', 365),  # Number of days to cache in advance\n    )\n\n    def __init__(self):\n        self._calendar = self.p.calendar\n\n        if isinstance(self._calendar, string_types):  # use passed mkt name\n            import pandas_market_calendars as mcal\n            self._calendar = mcal.get_calendar(self._calendar)\n\n        import pandas as pd  # guaranteed because of pandas_market_calendars\n        self.dcache = pd.DatetimeIndex([0.0])\n        self.idcache = pd.DataFrame(index=pd.DatetimeIndex([0.0]))\n        self.csize = timedelta(days=self.p.cachesize)\n\n    def _nextday(self, day):\n        '''\n        Returns the next trading day (datetime/date instance) after ``day``\n        (datetime/date instance) and the isocalendar components\n\n        The return value is a tuple with 2 components: (nextday, (y, w, d))\n        '''\n        day += ONEDAY\n        while True:\n            i = self.dcache.searchsorted(day)\n            if i == len(self.dcache):\n                # keep a cache of 1 year to speed up searching\n                self.dcache = self._calendar.valid_days(day, day + self.csize)\n                continue\n\n            d = self.dcache[i].to_pydatetime()\n            return d, d.isocalendar()\n\n    def schedule(self, day, tz=None):\n        '''\n        Returns the opening and closing times for the given ``day``. If the\n        method is called, the assumption is that ``day`` is an actual trading\n        day\n\n        The return value is a tuple with 2 components: opentime, closetime\n        '''\n        while True:\n            i = self.idcache.index.searchsorted(day.date())\n            if i == len(self.idcache):\n                # keep a cache of 1 year to speed up searching\n                self.idcache = self._calendar.schedule(day, day + self.csize)\n                continue\n\n            st = (x.tz_localize(None) for x in self.idcache.iloc[i, 0:2])\n            opening, closing = st  # Get utc naive times\n            if day > closing:  # passed time is over the sessionend\n                day += ONEDAY  # wrap over to next day\n                continue\n\n            return opening.to_pydatetime(), closing.to_pydatetime()\n"
  },
  {
    "path": "backtrader/utils/__init__.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom collections import OrderedDict\nimport sys\n\nfrom .date import *\nfrom .ordereddefaultdict import *\nfrom .autodict import *\n"
  },
  {
    "path": "backtrader/utils/autodict.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom collections import OrderedDict, defaultdict\n\nfrom .py3 import values as py3lvalues\n\n\ndef Tree():\n    return defaultdict(Tree)\n\n\nclass AutoDictList(dict):\n    def __missing__(self, key):\n        value = self[key] = list()\n        return value\n\n\nclass DotDict(dict):\n    # If the attribut is not found in the usual places try the dict itself\n    def __getattr__(self, key):\n        if key.startswith('__'):\n            return super(DotDict, self).__getattr__(key)\n        return self[key]\n\n\nclass AutoDict(dict):\n    _closed = False\n\n    def _close(self):\n        self._closed = True\n        for key, val in self.items():\n            if isinstance(val, (AutoDict, AutoOrderedDict)):\n                val._close()\n\n    def _open(self):\n        self._closed = False\n\n    def __missing__(self, key):\n        if self._closed:\n            raise KeyError\n\n        value = self[key] = AutoDict()\n        return value\n\n    def __getattr__(self, key):\n        if False and key.startswith('_'):\n            raise AttributeError\n\n        return self[key]\n\n    def __setattr__(self, key, value):\n        if False and key.startswith('_'):\n            self.__dict__[key] = value\n            return\n\n        self[key] = value\n\n\nclass AutoOrderedDict(OrderedDict):\n    _closed = False\n\n    def _close(self):\n        self._closed = True\n        for key, val in self.items():\n            if isinstance(val, (AutoDict, AutoOrderedDict)):\n                val._close()\n\n    def _open(self):\n        self._closed = False\n\n    def __missing__(self, key):\n        if self._closed:\n            raise KeyError\n\n        # value = self[key] = type(self)()\n        value = self[key] = AutoOrderedDict()\n        return value\n\n    def __getattr__(self, key):\n        if key.startswith('_'):\n            raise AttributeError\n\n        return self[key]\n\n    def __setattr__(self, key, value):\n        if key.startswith('_'):\n            self.__dict__[key] = value\n            return\n\n        self[key] = value\n\n    # Define math operations\n    def __iadd__(self, other):\n        if type(self) != type(other):\n            return type(other)() + other\n\n        return self + other\n\n    def __isub__(self, other):\n        if type(self) != type(other):\n            return type(other)() - other\n\n        return self - other\n\n    def __imul__(self, other):\n        if type(self) != type(other):\n            return type(other)() * other\n\n        return self + other\n\n    def __idiv__(self, other):\n        if type(self) != type(other):\n            return type(other)() // other\n\n        return self + other\n\n    def __itruediv__(self, other):\n        if type(self) != type(other):\n            return type(other)() / other\n\n        return self + other\n\n    def lvalues(self):\n        return py3lvalues(self)\n"
  },
  {
    "path": "backtrader/utils/date.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nfrom .dateintern import (num2date, num2dt, date2num, time2num, num2time,\n                         UTC, TZLocal, Localizer, tzparse, TIME_MAX, TIME_MIN)\n\n__all__ = ('num2date', 'num2dt', 'date2num', 'time2num', 'num2time',\n           'UTC', 'TZLocal', 'Localizer', 'tzparse', 'TIME_MAX', 'TIME_MIN')\n"
  },
  {
    "path": "backtrader/utils/dateintern.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\nimport math\nimport time as _time\n\nfrom .py3 import string_types\n\n\nZERO = datetime.timedelta(0)\n\nSTDOFFSET = datetime.timedelta(seconds=-_time.timezone)\nif _time.daylight:\n    DSTOFFSET = datetime.timedelta(seconds=-_time.altzone)\nelse:\n    DSTOFFSET = STDOFFSET\n\nDSTDIFF = DSTOFFSET - STDOFFSET\n\n# To avoid rounding errors taking dates to next day\nTIME_MAX = datetime.time(23, 59, 59, 999990)\n\n# To avoid rounding errors taking dates to next day\nTIME_MIN = datetime.time.min\n\n\ndef tzparse(tz):\n    # If no object has been provided by the user and a timezone can be\n    # found via contractdtails, then try to get it from pytz, which may or\n    # may not be available.\n    tzstr = isinstance(tz, string_types)\n    if tz is None or not tzstr:\n        return Localizer(tz)\n\n    try:\n        import pytz  # keep the import very local\n    except ImportError:\n        return Localizer(tz)    # nothing can be done\n\n    tzs = tz\n    if tzs == 'CST':  # usual alias\n        tzs = 'CST6CDT'\n\n    try:\n        tz = pytz.timezone(tzs)\n    except pytz.UnknownTimeZoneError:\n        return Localizer(tz)    # nothing can be done\n\n    return tz\n\n\ndef Localizer(tz):\n    import types\n\n    def localize(self, dt):\n        return dt.replace(tzinfo=self)\n\n    if tz is not None and not hasattr(tz, 'localize'):\n        # patch the tz instance with a bound method\n        tz.localize = types.MethodType(localize, tz)\n\n    return tz\n\n\n# A UTC class, same as the one in the Python Docs\nclass _UTC(datetime.tzinfo):\n    \"\"\"UTC\"\"\"\n\n    def utcoffset(self, dt):\n        return ZERO\n\n    def tzname(self, dt):\n        return \"UTC\"\n\n    def dst(self, dt):\n        return ZERO\n\n    def localize(self, dt):\n        return dt.replace(tzinfo=self)\n\n\nclass _LocalTimezone(datetime.tzinfo):\n\n    def utcoffset(self, dt):\n        if self._isdst(dt):\n            return DSTOFFSET\n        else:\n            return STDOFFSET\n\n    def dst(self, dt):\n        if self._isdst(dt):\n            return DSTDIFF\n        else:\n            return ZERO\n\n    def tzname(self, dt):\n        return _time.tzname[self._isdst(dt)]\n\n    def _isdst(self, dt):\n        tt = (dt.year, dt.month, dt.day,\n              dt.hour, dt.minute, dt.second,\n              dt.weekday(), 0, 0)\n        try:\n            stamp = _time.mktime(tt)\n        except (ValueError, OverflowError):\n            return False  # Too far in the future, not relevant\n\n        tt = _time.localtime(stamp)\n        return tt.tm_isdst > 0\n\n    def localize(self, dt):\n        return dt.replace(tzinfo=self)\n\n\nUTC = _UTC()\nTZLocal = _LocalTimezone()\n\n\nHOURS_PER_DAY = 24.0\nMINUTES_PER_HOUR = 60.0\nSECONDS_PER_MINUTE = 60.0\nMUSECONDS_PER_SECOND = 1e6\nMINUTES_PER_DAY = MINUTES_PER_HOUR * HOURS_PER_DAY\nSECONDS_PER_DAY = SECONDS_PER_MINUTE * MINUTES_PER_DAY\nMUSECONDS_PER_DAY = MUSECONDS_PER_SECOND * SECONDS_PER_DAY\n\n\ndef num2date(x, tz=None, naive=True):\n    # Same as matplotlib except if tz is None a naive datetime object\n    # will be returned.\n    \"\"\"\n    *x* is a float value which gives the number of days\n    (fraction part represents hours, minutes, seconds) since\n    0001-01-01 00:00:00 UTC *plus* *one*.\n    The addition of one here is a historical artifact.  Also, note\n    that the Gregorian calendar is assumed; this is not universal\n    practice.  For details, see the module docstring.\n    Return value is a :class:`datetime` instance in timezone *tz* (default to\n    rcparams TZ value).\n    If *x* is a sequence, a sequence of :class:`datetime` objects will\n    be returned.\n    \"\"\"\n\n    ix = int(x)\n    dt = datetime.datetime.fromordinal(ix)\n    remainder = float(x) - ix\n    hour, remainder = divmod(HOURS_PER_DAY * remainder, 1)\n    minute, remainder = divmod(MINUTES_PER_HOUR * remainder, 1)\n    second, remainder = divmod(SECONDS_PER_MINUTE * remainder, 1)\n    microsecond = int(MUSECONDS_PER_SECOND * remainder)\n    if microsecond < 10:\n        microsecond = 0  # compensate for rounding errors\n\n    if True and tz is not None:\n        dt = datetime.datetime(\n            dt.year, dt.month, dt.day, int(hour), int(minute), int(second),\n            microsecond, tzinfo=UTC)\n        dt = dt.astimezone(tz)\n        if naive:\n            dt = dt.replace(tzinfo=None)\n    else:\n        # If not tz has been passed return a non-timezoned dt\n        dt = datetime.datetime(\n            dt.year, dt.month, dt.day, int(hour), int(minute), int(second),\n            microsecond)\n\n    if microsecond > 999990:  # compensate for rounding errors\n        dt += datetime.timedelta(microseconds=1e6 - microsecond)\n\n    return dt\n\n\ndef num2dt(num, tz=None, naive=True):\n    return num2date(num, tz=tz, naive=naive).date()\n\n\ndef num2time(num, tz=None, naive=True):\n    return num2date(num, tz=tz, naive=naive).time()\n\n\ndef date2num(dt, tz=None):\n    \"\"\"\n    Convert :mod:`datetime` to the Gregorian date as UTC float days,\n    preserving hours, minutes, seconds and microseconds.  Return value\n    is a :func:`float`.\n    \"\"\"\n    if tz is not None:\n        dt = tz.localize(dt)\n\n    if hasattr(dt, 'tzinfo') and dt.tzinfo is not None:\n        delta = dt.tzinfo.utcoffset(dt)\n        if delta is not None:\n            dt -= delta\n\n    base = float(dt.toordinal())\n    if hasattr(dt, 'hour'):\n        # base += (dt.hour / HOURS_PER_DAY +\n        #          dt.minute / MINUTES_PER_DAY +\n        #          dt.second / SECONDS_PER_DAY +\n        #          dt.microsecond / MUSECONDS_PER_DAY\n        #         )\n        base = math.fsum(\n            (base, dt.hour / HOURS_PER_DAY, dt.minute / MINUTES_PER_DAY,\n             dt.second / SECONDS_PER_DAY, dt.microsecond / MUSECONDS_PER_DAY))\n\n    return base\n\n\ndef time2num(tm):\n    \"\"\"\n    Converts the hour/minute/second/microsecond part of tm (datetime.datetime\n    or time) to a num\n    \"\"\"\n    num = (tm.hour / HOURS_PER_DAY +\n           tm.minute / MINUTES_PER_DAY +\n           tm.second / SECONDS_PER_DAY +\n           tm.microsecond / MUSECONDS_PER_DAY)\n\n    return num\n"
  },
  {
    "path": "backtrader/utils/flushfile.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n#  Copyright (C) 2015, 2016, 2017 Daniel Rodriguez\n#\n#  This program is free software: you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation, either version 3 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  You should have received a copy of the GNU General Public License\n#  along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport sys\n\n\nclass flushfile(object):\n\n    def __init__(self, f):\n        self.f = f\n\n    def write(self, x):\n        self.f.write(x)\n        self.f.flush()\n\n    def flush(self):\n        self.f.flush()\n\nif sys.platform == 'win32':\n    sys.stdout = flushfile(sys.stdout)\n    sys.stderr = flushfile(sys.stderr)\n\n\nclass StdOutDevNull(object):\n\n    def __init__(self):\n        self.stdout = sys.stdout\n        sys.stdout = self\n\n    def write(self, x):\n        pass\n\n    def flush(self):\n        pass\n\n    def stop(self):\n        sys.stdout = self.stdout\n"
  },
  {
    "path": "backtrader/utils/ordereddefaultdict.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n# From: http://stackoverflow.com/questions/4126348/how-do-i-rewrite-this-function-to-implement-ordereddict/4127426#4127426\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nfrom collections import OrderedDict\n\nfrom .py3 import iteritems\n\n\nclass OrderedDefaultdict(OrderedDict):\n    def __init__(self, *args, **kwargs):\n        if not args:\n            self.default_factory = None\n        else:\n            if not (args[0] is None or callable(args[0])):\n                raise TypeError('first argument must be callable or None')\n            self.default_factory = args[0]\n            args = args[1:]\n        super(OrderedDefaultdict, self).__init__(*args, **kwargs)\n\n    def __missing__(self, key):\n        if self.default_factory is None:\n            raise KeyError(key)\n        self[key] = default = self.default_factory()\n        return default\n\n    def __reduce__(self):  # optional, for pickle support\n        args = (self.default_factory,) if self.default_factory else ()\n        return self.__class__, args, None, None, iteritems(self)\n"
  },
  {
    "path": "backtrader/utils/py3.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport itertools\nimport sys\n\nPY2 = sys.version_info.major == 2\n\n\nif PY2:\n    try:\n        import _winreg as winreg\n    except ImportError:\n        winreg = None\n\n    MAXINT = sys.maxint\n    MININT = -sys.maxint - 1\n\n    MAXFLOAT = sys.float_info.max\n    MINFLOAT = sys.float_info.min\n\n    string_types = str, unicode\n    integer_types = int, long\n\n    filter = itertools.ifilter\n    map = itertools.imap\n    range = xrange\n    zip = itertools.izip\n    long = long\n\n    cmp = cmp\n\n    bytes = bytes\n    bstr = bytes\n\n    from io import StringIO\n\n    from urllib2 import urlopen, ProxyHandler, build_opener, install_opener\n    from urllib import quote as urlquote\n\n    def iterkeys(d): return d.iterkeys()\n\n    def itervalues(d): return d.itervalues()\n\n    def iteritems(d): return d.iteritems()\n\n    def keys(d): return d.keys()\n\n    def values(d): return d.values()\n\n    def items(d): return d.items()\n\n    import Queue as queue\n\nelse:\n    try:\n        import winreg\n    except ImportError:\n        winreg = None\n\n    MAXINT = sys.maxsize\n    MININT = -sys.maxsize - 1\n\n    MAXFLOAT = sys.float_info.max\n    MINFLOAT = sys.float_info.min\n\n    string_types = str,\n    integer_types = int,\n\n    filter = filter\n    map = map\n    range = range\n    zip = zip\n    long = int\n\n    def cmp(a, b): return (a > b) - (a < b)\n\n    def bytes(x): return x.encode('utf-8')\n\n    def bstr(x): return str(x)\n\n    from io import StringIO\n\n    from urllib.request import (urlopen, ProxyHandler, build_opener,\n                                install_opener)\n    from urllib.parse import quote as urlquote\n\n    def iterkeys(d): return iter(d.keys())\n\n    def itervalues(d): return iter(d.values())\n\n    def iteritems(d): return iter(d.items())\n\n    def keys(d): return list(d.keys())\n\n    def values(d): return list(d.values())\n\n    def items(d): return list(d.items())\n\n    import queue as queue\n\n\n# This is from Armin Ronacher from Flash simplified later by six\ndef with_metaclass(meta, *bases):\n    \"\"\"Create a base class with a metaclass.\"\"\"\n    # This requires a bit of explanation: the basic idea is to make a dummy\n    # metaclass for one level of class instantiation that replaces itself with\n    # the actual metaclass.\n    class metaclass(meta):\n\n        def __new__(cls, name, this_bases, d):\n            return meta(name, bases, d)\n    return type.__new__(metaclass, str('temporary_class'), (), {})\n"
  },
  {
    "path": "backtrader/version.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\n__version__ = '1.9.78.123'\n\n__btversion__ = tuple(int(x) for x in __version__.split('.'))\n"
  },
  {
    "path": "backtrader/writer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport io\nimport itertools\nimport sys\n\ntry:  # For new Python versions\n    collectionsAbc = collections.abc  # collections.Iterable -> collections.abc.Iterable\nexcept AttributeError:  # For old Python versions\n    collectionsAbc = collections  # Используем collections.Iterable\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import (map, with_metaclass, string_types,\n                                  integer_types)\n\n\nclass WriterBase(with_metaclass(bt.MetaParams, object)):\n    pass\n\n\nclass WriterFile(WriterBase):\n    '''The system wide writer class.\n\n    It can be parametrized with:\n\n      - ``out`` (default: ``sys.stdout``): output stream to write to\n\n        If a string is passed a filename with the content of the parameter will\n        be used.\n\n        If you wish to run with ``sys.stdout`` while doing multiprocess optimization, leave it as ``None``, which will\n        automatically initiate ``sys.stdout`` on the child processes.\n\n      - ``close_out``  (default: ``False``)\n\n        If ``out`` is a stream whether it has to be explicitly closed by the\n        writer\n\n      - ``csv`` (default: ``False``)\n\n        If a csv stream of the data feeds, strategies, observers and indicators\n        has to be written to the stream during execution\n\n        Which objects actually go into the csv stream can be controlled with\n        the ``csv`` attribute of each object (defaults to ``True`` for ``data\n        feeds`` and ``observers`` / False for ``indicators``)\n\n      - ``csv_filternan`` (default: ``True``) whether ``nan`` values have to be\n        purged out of the csv stream (replaced by an empty field)\n\n      - ``csv_counter`` (default: ``True``) if the writer shall keep and print\n        out a counter of the lines actually output\n\n      - ``indent`` (default: ``2``) indentation spaces for each level\n\n      - ``separators`` (default: ``['=', '-', '+', '*', '.', '~', '\"', '^',\n        '#']``)\n\n        Characters used for line separators across section/sub(sub)sections\n\n      - ``seplen`` (default: ``79``)\n\n        total length of a line separator including indentation\n\n      - ``rounding`` (default: ``None``)\n\n        Number of decimal places to round floats down to. With ``None`` no\n        rounding is performed\n\n    '''\n    params = (\n        ('out', None),\n        ('close_out', False),\n\n        ('csv', False),\n        ('csvsep', ','),\n        ('csv_filternan', True),\n        ('csv_counter', True),\n\n        ('indent', 2),\n        ('separators', ['=', '-', '+', '*', '.', '~', '\"', '^', '#']),\n        ('seplen', 79),\n        ('rounding', None),\n    )\n\n    def __init__(self):\n        self._len = itertools.count(1)\n        self.headers = list()\n        self.values = list()\n\n    def _start_output(self):\n        # open file if needed\n        if not hasattr(self, 'out') or not self.out:\n            if self.p.out is None:\n                self.out = sys.stdout\n                self.close_out = False\n            elif isinstance(self.p.out, string_types):\n                self.out = open(self.p.out, 'w')\n                self.close_out = True\n            else:\n                self.out = self.p.out\n                self.close_out = self.p.close_out\n\n    def start(self):\n        self._start_output()\n\n        if self.p.csv:\n            self.writelineseparator()\n            self.writeiterable(self.headers, counter='Id')\n\n    def stop(self):\n        if self.close_out:\n            self.out.close()\n\n    def next(self):\n        if self.p.csv:\n            self.writeiterable(self.values, func=str, counter=next(self._len))\n            self.values = list()\n\n    def addheaders(self, headers):\n        if self.p.csv:\n            self.headers.extend(headers)\n\n    def addvalues(self, values):\n        if self.p.csv:\n            if self.p.csv_filternan:\n                values = map(lambda x: x if x == x else '', values)\n            self.values.extend(values)\n\n    def writeiterable(self, iterable, func=None, counter=''):\n        if self.p.csv_counter:\n            iterable = itertools.chain([counter], iterable)\n\n        if func is not None:\n            iterable = map(lambda x: func(x), iterable)\n\n        line = self.p.csvsep.join(iterable)\n        self.writeline(line)\n\n    def writeline(self, line):\n        self.out.write(line + '\\n')\n\n    def writelines(self, lines):\n        for l in lines:\n            self.out.write(l + '\\n')\n\n    def writelineseparator(self, level=0):\n        sepnum = level % len(self.p.separators)\n        separator = self.p.separators[sepnum]\n\n        line = ' ' * (level * self.p.indent)\n        line += separator * (self.p.seplen - (level * self.p.indent))\n        self.writeline(line)\n\n    def writedict(self, dct, level=0, recurse=False):\n        if not recurse:\n            self.writelineseparator(level)\n\n        indent0 = level * self.p.indent\n        for key, val in dct.items():\n            kline = ' ' * indent0\n            if recurse:\n                kline += '- '\n\n            kline += str(key) + ':'\n\n            try:\n                sclass = issubclass(val, bt.LineSeries)\n            except TypeError:\n                sclass = False\n\n            if sclass:\n                kline += ' ' + val.__name__\n                self.writeline(kline)\n            elif isinstance(val, string_types):\n                kline += ' ' + val\n                self.writeline(kline)\n            elif isinstance(val, integer_types):\n                kline += ' ' + str(val)\n                self.writeline(kline)\n            elif isinstance(val, float):\n                if self.p.rounding is not None:\n                    val = round(val, self.p.rounding)\n                kline += ' ' + str(val)\n                self.writeline(kline)\n            elif isinstance(val, dict):\n                if recurse:\n                    self.writelineseparator(level=level)\n                self.writeline(kline)\n                self.writedict(val, level=level + 1, recurse=True)\n            elif isinstance(val, (list, tuple, collectionsAbc.Iterable)):  # Для разных версий Python будут вызываться разные функции\n                line = ', '.join(map(str, val))\n                self.writeline(kline + ' ' + line)\n            else:\n                kline += ' ' + str(val)\n                self.writeline(kline)\n\n\nclass WriterStringIO(WriterFile):\n    params = (('out', io.StringIO),)\n\n    def __init__(self):\n        super(WriterStringIO, self).__init__()\n\n    def _start_output(self):\n        super(WriterStringIO, self)._start_output()\n        self.out = self.out()\n\n    def stop(self):\n        super(WriterStringIO, self).stop()\n        # Leave the file positioned at the beginning\n        self.out.seek(0)\n"
  },
  {
    "path": "changelog.txt",
    "content": "1.9.78.123:\n  - PR#479 Fix errors for simulated orders\n1.9.77.123:\n  - PR#472\n    - Added posibitity for Black theme for charts\n    - Added posibitity to run on matplotlib 3.6+\n    - Added posibitity to run on Python 3.9+\n\n1.9.76.123:\n  - PR#405 Fix initial Renko bricks\n  - Add option to select fixing of initial Renko bricks\n  - PR#403 partial order execution iterpending reported incorrectly\n  - PR#402 bug fix: #5 fixing writer.py after 1.9.75.123 pull\n  - PR#406 trade.py upgraded to be able to be unpickled. (#406)\n  - PR#411 [bug fix] frompackages directive functionality seems to be\n    broken when using inheritance (#411)\n  - Typo corrections PR#409, PR#407\n\n1.9.75.123:\n  - Adding extra day before dtcmp calc, as otherwise the extradays\n    have no effect (#388)\n  - Fixing the issue with TWS API Bust events (err code 10225) (#396)\n  - Add support for ASK quotes for CASH assets (#395) plus fixes\n  - Remove duplicated note (#386)\n  - Fixing time.clock for python>=3.8 (#394)\n  - Changed file initiation for WriterFile to make it work under\n    multi-process optimization (#397) plus fixes\n  - Fixed backend loading if a backend is loaded (Google Collab) and\n    backend to use on MacOSX\n  - Fix: crumb in feeds.YahooFinanceData (#400)\n  - Fix color assignments, ticks line widths and some pep-8 improvements\n  - Fix timeframe/compression detection when plotting\n  - Fix default value for ticks display format on X-axis\n  - Sample with ta-lib SAR test\n  - Generic support of multiple \"text/*\" content types for Yahoo\n\n1.9.74.123:\n  - Correct calculation in haDelta indicator\n  - Use initial datalabel for non-overlaid volume plot\n\n1.9.73.123:\n  - Add utility NonZeroDifference indicator\n  - Redefine CrossUp, CrossDown and CrossOver indicators using\n    NonZeroDifference to cover the case in which the crossing entities\n    converge right before crossing up and down\n  - PR #382 (Travis: Python 3.7, 3.8-dev travis), PR #383 PivotPoint doc\n\n1.9.72.122:\n  - Cover case in which result in high-level overridden operations have\n    multiple lines and wer not be taken into account for minimum period\n    calculations\n  - Add \"Int\" variants of percentage based sizers to import\n  - Trades observer to show net profit instead of brutto, with parameter\n    to control behavior\n\n1.9.71.122:\n  - Improve on indicator legend plotting to overcome matplotlib legend\n    reordering\n  - Added PercenSizerInt and AllSizerInt which truncate the returned size\n    to an int, suited better for stocks/futures\n\n1.9.70.122:\n  - Use opening price for submission check for Market orders when\n    cheat-on-open is active\n  - Update pnlcomm on all operations and not just profit/loss locking\n  - Correct comment for fillalpha and add baralpha for candlestick opacity\n  - Merge PR 378 (doc typo) PR 378 (rollover for live feeds and tz use\n    in datetime utilities)\n  - Use internal dict for data feed presence test and update trade observer\n\n1.9.69.122:\n  - Fix offline Yahoo feed by moving the new adjclose line up to the offline\n    feed\n  - Adapt the yahoodownload tool to the current status (ex: data not reversed)\n  - Redownload all yahoo data feeds\n\n1.9.68.122\n  - [PR 376] Fix call to _nextday in TradingCalendar\n  - Clean up and rework of Yahoo Data. The data feeds seems to be reliable\n    again\n  - IBStore Support for IND prices (simplfication of PR 373)\n\n1.9.67.122\n  - Fix compression only scenarios when resampling and resampling after\n    changes in 1.9.66.122\n  - Final correction for rollover fix introduced in 1.9.66.122\n  - Cover use case for mininum period calculation when all\n    operations/indicators don't use the data feeds directly but lines of it\n\n1.9.66.122\n  - Fix regression introduced with 8f537a1c2c271eb5cfc592b373697732597d26d6\n    which voids the count of lost trades\n  - Allow rollover to distinguish between no values temporarily (with None)\n    and no values permanently (with False)\n  - Avoid math domain error for negative returns in logarithmic calculations\n  - Fix local variable declaration for compound returns\n  - Fix typo in date2num tz conversion which shows up in direct usage\n\n1.9.65.122\n  - Fix commission info assigment and orderref seeking in OandaStore (PR#367)\n  - Add strategy type to OptReturn (PR#364)\n  - Fix prepend_constant for OLS_Transformation (PR#368)\n  - Fix LogReturnsRolling compression when not specified (PR#369)\n  - Have ints instead of bools in some values with 1 Trade in TradeAnalyzer\n\n1.9.64.122\n  - Avoid stage2 comparison using [0] in API methods\n  - Support plotname, if given, as name of indicator in csv output\n\n1.9.63.122\n  - Add optimization callbacks when running with 1 Core\n  - Correct sell_bracket by removing old append code\n  - Correct typo in store.py\n  - Pass period from RateOfChange100 to underlying ROC\n\n1.9.62.122\n  - Correct PSAR acceleration capping\n  - Enable PandasData line extension without the need to extend datafields\n\n1.9.61.122\n  - Add `_skipnan` to plotlines to allow joining two points with a line\n  - buy_bracket/sell_bracket allow suppressing stop/limit orders\n  - Add stop-loss approaches sample\n  - Correct codes for minutes compression\n\n1.9.60.122\n  - Remove unused files\n  - README update, Docstring corrections, documentation corrections\n  - Update travis settings\n\n1.9.58.122\n  - Provide default fundmode methods for all brokers\n  - Correct order notification if positions exist when starting the broker\n    and will be simulated\n  - Correct csv values output if object has no length\n\n1.9.57.122\n  - PR #326 Fix set_fundmode in bbroker\n  - Synchronize fund history mode with master clock\n  - Allow relocation of legend in plotting charts\n  - Adapt broker observer to fund mode\n\n1.9.56.122\n  - Handle volume as string null in YahooFinanceData\n  - Corrections/Improvements to order history support\n  - Add fund history support\n  - Increase plotting margin of trade observers\n\n1.9.55.122\n  - Add addorder_history support to replay history of orders\n  - Add swapcloses to YahooFinanceXXX family to allow end users to control what\n    the adjusted price actually is\n  - Some docs and samples updates\n  - Change default for _nextforce to False as it should be for most indicators\n\n1.9.54.122\n  - Add haDelta indicator\n  - Allow indicators to disable runonce\n  - Add Renko bricks\n  - Rework ix -> iloc pull request and autodetection algorithm in PandasData\n\n1.9.53.121\n  - Fix #323 by providing default properties/methods for fundvalue/fundshares\n    for all brokers\n\n1.9.52.121\n  - Redownload the YahooFinance sample data yhoo-1996-2015\n  - Add unstable exception for TALIB SAR\n  - Add notes about usage of Hurst exponent and lag_start/lag_end parameters\n    to override default lag values\n  - Fix #321 by correcting typo in Writer.writelines\n  - Add _start/start methods to Observers\n  - Add fund tracking mode to the observers\n  - Add new observers FundValue/FundShares\n  - Adapt observers to fundmode: Value, TimeReturn, LogReturns, DrawDown,\n    Benchmark\n  - Adapt analyzers to fundmode: DrawDown, Leverage, LogReturnsRolling,\n    PeriodStats, LogReturns, Sharpe, TimeReturn, VWR\n  - PR #319 for Pandas .ix deprecation (rewritten)\n\n1.9.51.121\n  - Fix PSAR calculations for resampled/replayed streams\n  - Sample for psar with intraday resampling 5 -> 15 minutes\n  - Set the environment of a backfill_from data in master ibdata\n  - Add dnames to the strategy documentation\n  - Allow plotmaster to point to itself\n  - Add plotylimited option to control vertical scaling locking on data plots\n  - Add (semi)logarithmic plotlog control to plotinfo\n  - Simplify live status detection for IB to allow optimization\n  - Keep the observer cycles always synchronized with the strategy cycles\n    regardless of running mode\n  - Correct arguments for top level cerebro callback for data notifications\n  - Add HeikinAshi candles indicator (plotted as lines)\n  - Add HeikinAshi as filter to directly modify the data\n  - Plot only last close value if lineonclose is plotted and correct high\n    printout\n  - Add PR #320 with indicators AwesomeOscillator,\n    AccelerationDecelerationOscillator, RelativeMomentumIndex\n  - Doc corrections and additions, including PR #319\n  - PR #315 with rewrite to generalize setting the backend\n\n1.9.50.117\n  - Add TrueStrengthIndicator\n  - Port YahooDownload tool to v7 API\n  - rewrite tool py3 bytes/str compatibility during write\n  - Support internal re-fetching of linetokens in csv based datas\n  - Support Yahoo skipping of lines with null values\n  - New adaptations to Yahoo new format for adjusted prices\n  - Update of data samples in Yahoo format\n  - Update of documents and samples to make use of YahooFinanceCSVData\n    consistent with chosen data sample\n\n1.9.49.116\n  - Add support for new Yahoo v7 api\n  - Quandl: Allow dataset specification, apikey correction and cosmetics\n\n1.9.48.116\n  - Quandl Data Feed Online/Offline (at least for WIKI EOD)\n    - Online: bt.feeds.Quandl\n    - Offline: bt.feeds.QuandlCSV\n  - Add studies category for indicators that draw in the past\n    (study events in past price movements)\n  - PR #307 Fractal study added to studies/contributions\n  - PR #304 Timer corrections for weekdays filter\n  - Docs corrections and typos\n\n1.9.47.116\n  - Add PR #303 with hook support for btrun\n  - Fix regression introduced with trading calendars for replaying\n  - Avoid a DivisionByZeroError in SharpeRatio if not enough returns for the\n    calculation\n\n1.9.46.116\n  - Finish timers implementation and documentation\n  - Add timers samples and cheat-on-open sample\n  - Add a List class to check for containment with __contains__ rather than\n    standard list is or __eq__\n\n1.9.45.116\n  - Fix #302 to plot resampled data with non aligned end of sessions\n  - PR #297 to save figures to files (refactored to save multiple strategies\n    and multiple figures)\n  - Ensure a data feed has always a non-empty _name if possible\n  - Alias getcash/getvalue to get_cash/get_value in broker subclasses if the\n    latter are missing\n  - PR #300 Set tools as executables\n  - PR #301 Metatrader4 csv format\n  - Documentation updates\n\n1.9.44.116\n  - Timer calls implementation\n  - Broker support for cheat-on-open\n  - Add cheat_on_open to cerebro to allow next_open\n  - Finish trading calendar resampling for weeks\n  - Support Yahoo download over proxies\n  - Doc corrections/additions\n  - Support quick broker notifications\n\n1.9.43.116\n  - Oanda support for bracket orders\n  - Oanda support for stop trailing order\n  - Filling in plotting support numeric values and control of alpha blending\n  - Documentation updates (filling, addobservermulti)\n  - Fix wrong calling of sizer with fixed isbuy=True after refactoring for\n    mixing of buy/sell and order_target_xxx\n\n1.9.42.116\n  - Add tradingcalendar\n  - Add tz support for strategies\n  - Docs updates\n  - Add multi/tradingcalendar samples\n  - Add div/floordiv operations to lines\n  - Return data references in all cerebro methods adding data stream\n\n1.9.41.116\n  - Keep processing orders after create in OandaStore after change to process\n    new messages\n  - Manage CFDs also as cash data in rqtMktData\n\n1.9.40.116\n  - Fix #295 by only managing tf and cp if resample/replay have been specified\n  - Correct expire and cancel in OandaStore\n  - Correct BollingerBands to use the chosen movav for the StdDev calcs\n  - Ensure parameters wit plotinfo and no plotname get a name granted\n\n1.9.39.116\n  - Fix #294 which break plotting by plotting with no indicators/observers\n\n1.9.38.116\n  - Plotting control options for last value in legend and right hand side\n    tag\n  - Documentation improvements\n  - Support numeric timestamps in CSVGenericData\n\n1.9.37.116\n  - Add new samples (OCO, StopTrail/Limit, LRSI, partial-plot, psar,\n    future-spot)\n  - Add Bracket order support\n  - Bracket order for IB and adapted sample\n  - Correct cancel order message reception in OandaStore\n  - Cosmectic changes to quickstart examples\n  - Document bracket, stoptrail/limit, oco, partial-plotting, same axis\n    plotting, future-vs-spot\n\n1.9.36.116\n  - StopTrail/StopTrailLimit/Oco for Interactive Brokers\n  - PR #290 for child OCO orders\n  - Oco and other generic parameters passed transparently from any order\n    generating method (ex: order_target_size) down to buy and sell\n  - Correct pricelimit parameter in ib\n  - Use strategy datetime instead of data0 and ensure a complete header in\n    Positions analyzer\n\n1.9.35.116\n  - Catch limit/stop order creation earlier in Oanda Store\n  - StopTrail/StopTrailLimit orders for backtesting\n\n1.9.34.116\n  - Docs updates\n  - OCO implementation for backtesting\n\n1.9.33.116\n  - Make sure sizer is only used if size is not None (default)\n  - Doc corrections\n  - Improve legend presentation in sameaxis mode\n\n1.9.32.116\n  - Added Calmar, TimeDrawDown and PeriodStats analyzers\n  - Reach data by names as dict or dot notation\n  - Allow one asset to compensate the positions of another\n  - Add more python versions to Travis PR #276\n  - Support plotting datas on same y-axis\n  - Update sample in contrib pair trading PR #273\n  - PR #274 number of tranches to FixedSize Sizer and add FixedSizeTarget\n  - Close #280 exception when get pyfolio analyzer agaist multiple data\n  - Close #277 (inc PR #277) by entering re-calculation of xstart and xend\n    plotting indices\n\n1.9.31.116\n  - Add Indicator HurstExponent (requires numpy)\n  - Allow plotting specific date ranges with start and end named arguments\n    to plot\n  - Address #269 missing last bar backfill_from\n  - Fix typo (#271) in frompackages import for InfluxDB feed\n  - Add OLS_Slope_InterceptN, OLS_BetaN, OLS_TransformationN and Coint\n  - Ensure broker has prices even if tick_xxx is not defined\n\n1.9.30.111\n  - Add LaguerreRSI PR #265\n  - Add LaguerreFilter PR #267\n  - Doc maintenance (also PR #266)\n  - Add ParabolicSAR\n  - Add InfluxDB Data feed (PR #257) and Import Tool (#PR268)\n  - Add auto-pytz code from IBData to generic feeds to allow passing strings\n    Address #262\n  - Add support for packages and frompackages\n  - Finish import of new sizers\n  - Fix #263 - Refresh resample-tickdata to specify timeframe\n  - Store module name and not module in talib autogenerated wrapper class\n  - pyfolio api change note\n\n1.9.29.108\n  - Correct csvgeneric import\n\n1.9.28.108\n  - Set eos time from param.sessionend in csv timeframes\n  - Improve support for timeframe/compression in btrun\n  - Add ApplyN indicator (and base for it and variants BaseApplyN)\n  - Add PercentSizer and AllInSizer\n  - Add DV2 Indicator\n  - Add PercentRank Indicator\n\n1.9.27.105\n  - Patch CST timezone name to CST6CDT\n  - Support automatic argument wrapping as line objects in CrossOver\n  - Initialize attributes before rejection can happen in OandaData\n  - Stop considering clones to decide if live feeds have to wait or not to\n    avoid cpu hogging\n  - Use _mindatas to decide how many from the parent datas to pass if none\n    is specified by the user\n  - Some doc corrections\n\n1.9.26.105\n  - Adapt order_target_value to short cash semantics in broker\n  - Several refinements to resampling to deliver synchronized bars on end of\n    session\n  - Add exceptions and strategy skip exception\n  - IBData - Deactivate code for faster downloads during absence of live data\n    to avoid breaking reconnection code\n  - Allow selective order based skipping of coc\n\n1.9.25.105\n  - Close #244 by giving feeds the chance to finish initialization by\n    themselves, ensuring proper initialization and allowing early data\n    download (merged and refactored PR #245)\n  - Add support for live data detection and dynamic queue check\n    timeouts to avoid pausing on historical traversal when other feeds\n    are live\n  - Add PR #242 DrawDown length observer\n  - Assimilate PR #240 into cash asset\n  - Fixes #239 by providing empty values if the data or indicator has\n    not produced a value yet\n  - New DrawDown Analyzer and refactoring of DrawDown observer\n  - Closes #235 by updating PivotPoint Family to make plotting work under new\n    sync scheme and automate self-coupling\n  - Some usual documentation updates / typo corrections\n  - Minor corrections/improvements\n  - Address #243 by sorting (timeframe, compression) data feeds internally to\n    avoid forcing users to pass smaller timeframes first\n  - Add end-of-session calculation, including adding end-of-session to daily\n    data from IB\n\n\n1.9.24.105\n  - Complete TimeFrameAnalyzerBase with a call to _nextstart and children\n  - Improve 1st comparison point of benchmark\n  - Documentation updates / samples clean-up\n  - IBData feed timezone and backfill gap corrections\n  - Initial support for CFD products (untested) to request BID and not TRADES\n  - Ensure initialization of backfill_from data feeds\n\n1.9.23.105\n  - Benchmark observer will observer after the strategy has reached its\n    minimum period\n  - Refactoring of TimeFrameAnalyzerBase\n  - Ensure NoTimeFrame name is always returned rightly\n  - Documentation updates\n  - btrun will only load data feeds if they can be imported\n\n1.9.22.105\n  - Improve unleveraged value by not unleveraging profit and loss\n  - Doc edits from PR #223, #224\n  - Correct refactoring leftover for backfill_from for IBData and OandaData\n  - Extend btfd sample with logs\n  - Add ZeroDivisionError to SharpeRatio\n  - Add automargin to commission info schemes\n\n1.9.21.105\n  - Closes #230 by closing the pool on completion rather than waiting for\n    garbage collection\n  - Default to show unleveraged value and allow retrieval of leveraged\n    value\n  - Update btfd sample to updated leveraged value\n  - Improve order value reporting with leverage\n  - Correct dataseries TimeFrame name presentation in writers\n  - Doc updates\n\n1.9.20.105\n  - Added pair-trading sample from @remroc: PR #223, #224, #225\n  - Some documentation updates\n  - Leverage support\n  - Closes #227 numfigs type=int in arg parsing\n  - Correct no-plotting of datas\n  - Correct pandasdata integer addressing issue\n  - Correct time comparison when running with runonce=True\n  - Update SessionFiller to more stringent standards in modern versions\n\n1.9.19.105\n  - Add time comparison for single line operations\n  - Correct plotting error calculations with volume and improve data on data\n  - Remove cosmetic comma\n\n1.9.18.105\n  - PR #221 Correct onda candleFormat parameter\n  - Allow data on data plotting and no data plotting\n  - Remove double labeling on indicators\n  - Analyzer LogReturnsRolling\n  - Observer LogReturns\n  - Improved order management of input for validity\n  - Set default end date for online downloads in Yahoo if not set\n  - Gold vs SP500 Sample\n\n1.9.17.105\n  - PR #195 make runstrats iterable to allow callbacks\n  - Fixes #189 by adding callback during optimization\n  - Fixes #205 to avoid errors during unnamed argument usage in strategy\n  - Regression correction for no short-cashing\n\n1.9.16.105:\n  - PR #212 added Vortex indicator\n  - Closed #215 writer opens file in binary mode\n  - Closed #210 missing comma in status definitions lists in feed\n  - PR #203 python3 compatiblity for ib (long)\n  - Added shortcash parameter to broker to control cash increase/decrease\n\n1.9.15.104:\n  - PR #202 to fix import in ibdata\n  - PR #196, #198 - doc updates\n  - PR #199 delegate notifications in Chainer Data Feed\n  - PercentChange indicator request from #192\n  - %B BollingerBands from #190\n  - Check bar time before market type execution #190\n\n1.9.14.102:\n  - Pull Request #187 to improve SQN and test\n  - Update some samples\n  - Refactor new KST - Closes #183\n  - Closes #163 adding interest as commission to correct calculate PNL\n  - Improve SignalStrategy overriden methods to avoid impacting user subclasses\n  - Closes #168 - Fetching open orders\n  - #173 short-circuit calculation sqn in case of no trades\n  - strategy selection sample\n\n1.9.13.102:\n  - Closes #179 Ichimoku indicator\n  - Plotting allows now filling areas and showing the indicator name even with\n    plotlinelabels active\n  - Use _minperiod in linebuffer.qbuffer for maxlen rather than default 1\n  - Closes #169 - Correct DaySteps filter\n  - Add ROC100 indicator\n  - Add KnowSureThing indicator\n\n1.9.12.99:\n  - Improve cheat-on-close to provide exact match price even during replay\n  - Allow offsetting resampling bar set by timeframe/compression units\n\n1.9.11.99:\n  - Separate resampling from replaying for synchronization purposes\n  - Modernize sample to better check #169\n\n1.9.10.99\n  - Further use cases coverage for new synchronizatio method and\n    resample/replay\n  - PR #173 - SharpeRatio returns None if it cannot be calculated\n  - PR #173 - SQN returns 0 (instead of raising exception) if no trades have\n    been made\n  - Cover replay case for cheat-on-close\n  - Extra analyzers in VWR Sample and modernized PivotPoint sample\n  - Reworked of plotting for datas of different length by matching date indexes\n  - Removed old mlen accounting for plotting different timeframes\n  - #172 cover extra unwinding of linebuffer and add extra size to qbuffer\n\n1.9.9.99\n  - Correct RSI_EMA, RSI_SMA subclassing\n  - Add cheat-on-close to the broker\n  - Correct own operation bug directly on lines (was fine on line\n    actions/operations)\n  - Add support for __neg__ operator (-) to lines\n  - Adresses #170 by forcing a bool as return\n  - Extend signal trigger detection to inverse and any values\n  - Support for embedding in a line non-line types\n  - Closes #171. Make safepow the default\n  - Use DataTrades only if several datas are in place\n\n1.9.8.99\n  - Workaround IbPy not converting bytes by passing strings in Python3\n  - safepow parameter for StandardDeviation\n\n1.9.7.99\n  - Closes #156 by adding LinePlotterIndicator\n  - Closes #154 by providing hollow candlesticks\n  - Ensure unique name for analyzers to get all printed out by writers\n  - Fix installation instructions for plotting\n\n1.9.6.99:\n  - Allow defining the datetime format string for the x axis and data points.\n    Closes #148\n  - Rework plotting to account for datas with different lengths and work with\n    auto locators/formatters\n  - Improve signals to handle multiple datas and wrap LineIterators (Indicators)\n  - Use excess returns for the standard deviation in Sharpe Ratio\n\n1.9.5.99\n  - Improve data synchronization behavior\n  - Make new DataTrades synchronize to strategy\n  - Correct TimeFrameAnalyzerBase to synchronize with strategy\n\n1.9.4.99\n  - Add DataTrades Observer to plot the trades of multiple datas independently\n  - Make this observer the default in cerebro (old behavior via oldtrades=True)\n\n1.9.3.99:\n  - copyas method in data feeds to let a clone data be seen differently in the\n    broker\n  - Count trades on strategy basis and not main data basis\n  - Add RQAlpha link\n  - Fixes #153 by closing file descriptors after preloading\n\n1.9.2.99:\n  - Correct plotting for multi strategy approach\n  - Make Crossover plot like any other indicator\n\n1.9.1.99:\n  - Automatic inline plotting if running inside a notebook\n  - Correct new plotting code for Python 3\n\n1.8.14.99:\n  - README Updates\n  - Improvements to generic Store management and VChartfile\n  - Addresses time underflow/overflow in #143\n\n1.8.13.99:\n  - Set annualization factor for days to 252 in SharpeRatio to match the value\n    most used in the literature\n  - Add Returns analyzer\n  - Closes #137 Added VWR (VariabilityWeightedReturn) analyzer\n  - Fixes #141. optreturn must only be applied when optimizing\n  - Correct getting default value for ptfimeframe in pyfolio2 sample. Fixes #142\n\n1.8.12.99:\n  - Rework SharpeRatio, add annualization and add SharpeRatio_A with default\n    annualization\n  - Improve data / results message passing during optimization\n  - Some documentation improvements/corrections\n\n1.8.11.99:\n  - Add rounding control to YahooFinanceCSVData and update docs. Closes #138\n  - Sharpe Ratio external testing sample. Addresses #137\n  - order_target_api, sample and cos. Closes #134\n\n1.8.10.99:\n  - Added Any, All, Reduce, function replacements\n  - Added AnyN, AllN, ReduceN indicators\n  - Aliased Highest -> MaxN, Lowest -> MinN\n  - Added VChartfile Store and Feed improving over existing feed\n    implementing the store pattern and fetching the basepath location\n    from the registry if possible\n  - Some docs improvements/corrections\n  - Add a generic Store to let stores subclass\n  - Add a Chainer, RollOver data feed and sample\n  - Add shortcuts for some subpackages: indicators -> ind, observers -> obs\n    strategies -> strats, commissions -> comms\n  - Add framework for analyzer testing and tests for 2 analyzers: SQN,\n    TimeReturn\n\n1.8.9.96:\n  - Finalize Oanda integration\n  - Allow simulated orders (meant to fetch initial positions from live brokers)\n\n1.8.8.96:\n  - Add support for credit interest rate (#125), with update of docs, sample,\n    support in broker and btrun\n  - urlencode tickers for yahoo downloads (feed and tool)\n\n1.8.7.96:\n  - Added indicators (3): Hull MA, ZeroLag Indicator, Dickson MA\n  - Added control of object cache to cerebro (default deactivated)\n  - Refactored the support for \"next\" only indicators\n  - Typos and Docs updates (also from pull-requests)\n\n1.8.6.93:\n  - Refactor bt.signals to bt.signal (keeping compatibility for prev uses)\n  - Improve writer to write non-string lists and fetch headers after anylzers\n  - Add base bt.Signal strategy class for easier subclassing\n  - Update btrun to support signals/slippage/flushing, update feeds and minors\n  - Correct writer collections of analyzers parameters\n  - Correct reverse overloaded operations in stage2\n  - Some docs/docstrings corrections\n\n1.8.5.93:\n  - Slippage implementation in broker, documented and with sample\n  - Refactoring/File Reordering of broker and volume fillers\n  - Documentation updates/corrections/cleanup\n  - Merge #120\n\n1.8.4.93:\n  - Filters documentation and reference\n  - Add pinkfish ohl + o filter\n  - Some filter refactoring\n  - README Updates\n\n1.8.3.93:\n  - Refactoring of pyfolio and children analyzers following #116 to try to\n    support future intraday support in *pyfolio*\n  - Allow adding a specific signal strategy subclass to cerebro\n  - Refactor SignalStrategy to ease up subclassing\n\n1.8.2.93:\n  - #106 Oanda Data Feed\n  - Adding _dataname to always be able to identify a data by symbol, including\n    *resampled/replayed*\n  - Address #115 resampling of same ibdata which was losing timezone information\n    in cloning\n  - Display raw datetime information in ibtest. For same data resample topic\n    in #115\n\n1.8.1.93:\n  - Addresses #115 - improvement in ib multiple data handling\n  - Improvements in vcdata multiple data handling\n\n1.8.0.93:\n  - Added signals api\n  - Correct value calculation for shorted stocks\n  - Add a symbolic margin to commissioninfo if not specified\n  - Remove line amonst marker in Trades observers\n\n1.7.2.93:\n  - Added getsize to CommissionInfo API to allow, for example, a sizer to\n    calculate the size of a trade using percentages\n  - Add __btversion__ which is a tuple of ints for easy version comparison\n  - Add macd-settings sample\n\n1.7.1.93:\n  - Pinkfish challange sample\n  - Add stash to feeds to allow filtered output to be resent to filters\n  - Restore deprecated setsizing method in FixedSize sizer for old quickstart\n    guide\n  - Rework quickstart tutorial and samples to use addsizer and deprecate\n    setsizing\n  - Allow BuySell observer to plot above / below high / low for clarity,\n    especially when plotting ohlc/candles bars\n  - Add support for observer orders during replay\n  - Improve Close order execution logic\n  - Fix microsecond precision errors in end of session calculations in order\n    and feed\n  - Docstrings cosmetic changes\n\n1.7.0.93:\n  - Changes to support separate auto-documentation for a branch of an object\n    hierarchy\n  - ta-lib integration: Closes #53\n  - ta-lib documentation\n  - Improve sizers internal interface by having a strategy attribute, which\n    can be used before resorting to the broker\n  - observer and benchmarking documentation update\n\n1.6.4.93:\n  - Reworked and published sizers interface (addresses #104) with changes\n    in cerebro and Strategy\n  - Observers documentation\n  - Refactor timereturn analyzer logic for better readability\n\n1.6.3.93:\n  - Correct lastvalue update in TimeReturn\n  - Closes #111 by annualizing the returns if the rate is not downgraded\n\n1.6.2.93:\n  - Closes #89 by adding benchmarking to TimeReturn and new observers\n    TimeReturn/Benchmark (sample included)\n  - Analyzers can be embedded in observers to share functionality\n  - Added TimeFrame.NoTimeFrame\n  - ibpy imported in readthedocs for IBStore/IBBroker/IBData doc generation\n\n\n1.6.1.93:\n  - Closes #108 - Plotting documentation\n  - Some updates to analyzer docs\n  - Further refactoring/improvements/corrections to the analyzers\n\n1.6.0.93:\n  - Pyfolio integration\n  - Refactoring/reorganization of analyzers\n\n1.5.3.93:\n  - Correct filler implementation in the broker to consider order side for the\n    value returned from a filler\n  - Extend volumefilling sample to cover sell and repetition scenarios\n\n1.5.2.93\n  - Added support for volume filling strategies in the broker\n  - Added 3 volume fillers: FixedSize, FixedBarPerc, BarPointPerc\n  - Added broker and fillers to the docs\n  - Added TimeReturn to the Analyzers reference\n  - Added DaySteps filter and sample to downsample a day bar in open + rest\n\n1.5.1.93\n  - UltimateOscillator added. Requested with ticket #103\n  - VisualChart Live Data Feed/Trading integration\n  - Add YahooFinanceData (online) to formats supported by btrun\n\n1.5.0.92\n  - InteractiveBroker Live Data Feed/Broker\n  - Rework of many internals to support live feeds\n  - DateTime Management (timezones) support added\n  - Extra Rework of Resampler/Replayer to support live feeds and earliest\n    possible bar delivery\n\n1.3.3.92\n  - Fixes #99 by conditionally importing ib modules\n\n1.3.2.92\n  - safediv added to Stochastic from Pull Request #97\n  - Initial integration fo ib feed/broker. Can operate but it is not yet fully\n    ocmplete\n  - Comprehensive ib testing sample\n  - Added \"store\" and \"data\" notifications to cerebro and strategy for the\n    integration of live feeds\n  - Internal datetime clarifications\n  - Fixes #94 removing leftover decode('utf-8') after removing 'b' from 'rb'\n    when opening csv files\n  - Fix bug in strategy.close and add plimit support to it\n  - Some documentation updates\n\n1.3.1.92\n  - Memory saving schemes (exactbars parameter to cerebro) full implemented\n  - Add mixing-timeframes to the docs\n  - Add memory-savings to the docs\n  - Cosmetic corrections to data-resampling sample\n\n1.3.0.92\n  - Address #84 #86 by implemting a LinesCoupler lines object which fills longer\n    timeframe lines with shorter timeframes\n  - Add sample for LinesCoupler\n  - New links for readthedocs io domain\n  - Detection Improvement for objects supported by writers\n\n1.2.9.92\n  - Add 3 new indicators (from #81): PivotPoint, FibonacciPivotPoint,\n    DemarkPivotPoint\n  - Add new function CmpEx\n  - Change plotinit to the intial stages of plotting\n  - Add plotinfo information to any LineSeries objects\n  - Implement LineActions Cache\n  - Implement Indicator Cache\n  - Cover resampling across midnight border #81\n  - Correct error in docs (concepts) #82\n  - Addresses #82 by only advancing indicators in runonce mode if the clock\n    has overtaken it\n  - Addresses #82 by having LinesOperations define and internal clock which\n    may not be the owner\n\n1.2.8.88\n  - WeekDaysFiller sample for #76\n  - Implement new memory saving schemes. Addresses #74\n  - Additions/Refactoring to the intenal api offered to filters and internal\n    utils objects and removal of leftover prints\n  - Refactoring of replay/resample filters\n  - Some testing refactoring\n  - Support for cross-plotting across datas of different timeframes\n  - PivotPoint sample for #81\n\n1.2.7.88\n  - Correct resampling/replaying behavior for calculating the delivery with\n    configured compression fator for timeframes ticks and days or larger.\n    Addresses #47, #77, #78\n  - Adapt resample/replay tests to improved resampling/replaying code which\n    delivers the bar 1 tick earlier\n  - Sample for bidask data to OHLC. Closes #78\n\n1.2.6.88\n  - Fix broken data-multitimeframe sample\n  - Address #72 by improving _getsizing method which not also takes data as\n    parameter\n  - Fixes #77 by correctly calculating when the current session ends for the\n    last bar (when next session data is already in)\n\n1.2.5.88\n  - Fixes #67 by having the Buy Sell Observer be displayed for all datas in the\n    system\n  - Improve support of live data feed resampling/replaying. Addresses comments\n    in #69 and #44\n  - Support safe division by zero RSI calculations. Closes #68\n  - Fixes #71. Single Lines (LineOperations in this case) don't get added to\n    the indicator mix for writers\n\n1.2.4.88\n  - Improved detection in cerebro.resampledata of existing datas before cloning\n  - Added detection in cerebro.replaydata of existing datas before cloning\n\n1.2.3.88:\n  - Add samples following 'Close' order corrections/improvements for\n    testing. Addresses #62\n  - Improve 'Close' execution support and correct conflicting behavior\n    with method checksubmit. Addresses #62\n  - Correct method close of strategy by using kwargs which was not\n    taking into account the existence of a plimit parameter in methods\n    buy/sell and would pass the execution type as plimit\n  - PandasData extension sample and data supporting discussion in\n    ticket #65\n  - If datas have been passed to cerebro, ensure cerebro has a\n    strategy to run against (which can get indicators, analyzers,\n    observers and other through the appropriate interface)\n  - Addresses #64 by auto-cloning datas in resampledata if the data\n    was already in the system\n  - Return a list in case cerebro.run is not run due to missing datas\n\n1.2.2.88:\n  - Update of bidask sample\n  - SessionFiller correction to avoid moving the evaluated bar too early into\n    the stack and avoid the previous session to fill into new session\n\n1.2.1.88:\n  - Remove old DataReplayer/DataResampler and cerebro resampledata_old and\n    replaydata_old which were using them\n  - Adapt docs and test to remove DataReplayer/DataResampler and document the\n    newer interfaces\n  - Add ``linesoverride`` parameter to enable redefining the lines of an object\n    at any stage. Allows removing OHLC default support\n  - Generalized GenericCSV to use the defined line aliases\n  - Generalized tick assignment to use the defined line aliases\n\n1.1.27.88\n  - Closes #61 by checking datamaster against None to prevent operator\n    overloading to evaluate the object as False because line 0, contains a value\n    of 0 at index 0\n\n1.1.26.88\n  - Closes #49 by setting the matplotlib backend to \"tkagg\" to avoid using other\n    non-tested backends\n  - io.StringIO instead of internally imported one from py3\n  - CSVDataBase unicode/bytes unification and also for YahooFinanceData feed\n  - yahoodownlaod tool bytes/unicode clarification and urlopen bug correction\n\n1.1.25.88\n  - Fixes #55 and improves management of CSV subclasses opening a file from\n    other sources\n  - Sample which tests yahoo online downloading\n\n1.1.24.88\n  - Fixes #51 - a trade may reopen a position but close a trade if overlapping\n    (different tradeid) trades are active\n  - Address Pull Request #52 by adding Py 2/3 MAXINT compatible \"constant\" which\n    is imported into TradeAnalyzer and used instead of sys.maxint\n  - Fixes #50 by correcting open/popen typo in StopLimit order\n\n1.1.23.88\n  - Fixes #46 by adding a default of total.total = 0 to indicate that no trades\n    were executed and therefore no statistics\n  - Fixes #46 by adding a default of total.total = 0 to indicate that no trades\n    were executed and therefore no statistics\n  - CalendarDays filter implementation and added sample\n  - Removed gitter from README\n\n1.1.22.88\n  - Filters moved to submodule filters\n  - Full docstring update for CommInfoBase\n  - Small improvements to internal AutoDict/AutoOrdereDict\n  - Implementation of Trade history log (#40)\n  - Added __bool__, __nonzero__ to Position for position testing\n  - Orders support miscellaneous information from end-users (#42)\n  - Trades get unique identifier and datetime for opening/closing time (#42, #43)\n  - Corrected typo in iteritems (#38)\n\n1.1.21.88\n  - Addition of keys, values, items to py2/3 compatibility layer\n  - Add getdatanames to strategy\n  - Strategy.buy/sell/close take data or name as key for operation\n  - Close #37 pannotated typo in \"atclose\" order type in broker\n  - Close #35 adding getpositionbyname, getpositionsbyname, getpositions and the\n    associated properties without \"get\"\n\n1.1.20.88\n  - #33 correction of typo added during correction of #33\n  - Added getdatabyname and string_types check in buy/sell/close to retrieve\n    datas in Strategy\n\n1.1.19.88\n  - Fixes #33 by properly adjusting the cash for existing open futures (added\n    long comment to explain the logic)\n  - TimeReturn analyzer added. Can calculate returns for all timeframes\n  - SharpeRatio updated to use TimeReturn including automatic adjustment of\n    the (annual) riskfreerate for timeframes days, weeks, months. It can still\n    use the legacy AnnualReturn analyzer\n  - CommInfoBase added as root of all commission schemes to make commission\n    schemes more flexible by not tying margin to commission type deduction\n  - Added 4 CommInfoBase derived classes with standard commission schemes\n  - Extended broker.setcommission call with parameters to work with the new\n    CommInfoBase\n  - Implemented the legacy CommissionInfo as a subclass of CommInfoBase, fully\n    retaining the existing behavior\n  - Some in-code documentation updates\n\n1.1.18.88\n  - Fixes #31 - Packaging issue under Python 3.x introduced in 1.1.17.88\n\n1.1.17.88\n  - #29 extend commissions to support additional schemes\n  - #27 convert iterable in pandas datasource to list before checking len\n  - Packaging reordering to suppor introduction of dependencies\n\n1.1.16.88\n  - Correct missing super in start some Data Feeds. Closes #27\n\n1.1.15.88\n  - DivByZero function included to perform division without triggering\n    exceptions\n  - SessionFiller completed as data filter\n  - Corrections to WriterStringIO\n  - Final renaming of data filter API\n  - Reset of operators to stage1 to be able to run over same data again withoug\n    re-init\n  - Update data-replay/resample samples to use new filter API\n  - Rework of testcaes to use new filter API and run all combinations of\n    runonce/preload\n\n1.1.14.88\n  - Comminfo passed down to trades for multitrade profit and loss calculation\n    for issue #226\n  - Addition of filters/processors (naming not final) to data sources\n  - (Re)Implementation of Resampling/Replaying as Processors - Old\n    Implementation still available\n  - Changed X axis formatting for Weeks/Months/Years\n  - DataFilter/DataFiller implemented as DataSources and also as\n    Filters/Processors\n  - DataFilter/DataFiller sample\n  - Time management improvement to address precision issues when isolating time\n    from coded datetime with new functions in LineBuffer\n\n1.1.13.88\n  - Further refactoring of resampling (keeping previous parameter names\n    compatible) killing corner case for last bar still having the sub-bar\n    timestamp - Close #25\n  - Added sessionstart parameter to DataBase to complement sessionend\n  - Some module import refactoring to refer to main module\n  - Added DataFilter class\n  - Close #24 by enabling writer to handle Analyzer dictionaries which carry\n    non-string as keys\n  - Correct/enhance some of the samples\n\n1.1.12.88:\n  - Refactoring of minute/seconds/microseconds bar compression scheme to allow\n    time adjusted bars\n  - Added tick_last to datas - alias of tick_close\n  - resampledata and replaydata methods added to cerebro\n  - Added tick_last to datas - alias of tick_close\n  - Added multitrade support and sample\n  - Added helper time2num and num2time to complement date2num and num2date\n  - RelativeVolumeByBar Sample\n  - Corrected fromdate being set at the end of session\n  - Refactor some data feeds to use iterators and discard itertools.count\n  - Add dm/tm methods to LineBuffer to get numeric parts (int/fraction) of\n    numeric datetime representation\n  - Added sample datas with volume\n  - Corrected _orlogic for \"Or\" function and bool'ized And and Or\n  - Refactored starting points in running strategies\n  - Added queue/Queue to py3 compatibility\n  - Further rework of minute (and sub-minute) Data Resampling/Replaying\n  - Added tia/visualize-wealth/QSTK/TradingWithPython to README\n  - Added tick_last to set of tick variables (open/high/low/close)\n  - Added resampledata and replaydata to cerebro to avoid having to instantiate\n    DataReplayer/DataResampler\n\n1.1.11.88:\n  - Added TimeFrame for Ticks, MicroSeconds and Seconds\n  - Plot support for new Ticks, MicroSeconds and Seconds TimeFrames\n  - Removed flushing of sys.stdout on Win32 platforms to avoid interactions with\n    ipython (fixes #20)\n  - Reworked Resampling for TimeFrame Minutes (closes #19) and added Resampling\n    for Seconds, MicroSeconds and TickData\n  - Sample of plot-on-same-axis added\n  - Added pypy/pypy3 tests to Travis and added to to documentation\n  - Added sample which resamples tickdata\n\n1.1.10.88:\n  - Small documentation updates\n  - Indicators can be plotted on/over other indicators\n  - Sample of plot-on-same-axis added\n\n1.1.9.88:\n  - Doc/Readme additions for 3.5\n  - Removed dangling py3 in writer from six transition\n  - Added writer testcase\n\n1.1.8.88:\n  - Added Python 3.5 to Travis CI\n  - Removed 2.6 and added 3.5 from setup.py\n  - Refactored bt-run.py to internal function and added btrun executable to\n    installation\n  - Added cerebro parameters and writers support to btrun\n  - Fixed duplicate writers next call in \"next\" mode\n  - Improved LineSeries objects name printing in WriterFile and changed \"csv\"\n    to False\n  - Correct sign of \"closed\" if a long/short position if a position is reduced:\n    closes #18\n  - Removed six dependency through small internal Py2/Py3 module and updated\n    docs and setup.py\n  - Removed nose-exclude from test requirements\n  - Implement current order status in broker\n  - 0 can be passed as number of maxcpus for optimization (same as None)\n  - SQN and TradeAnalyzer documented\n\n1.1.7.88:\n  - Drop Python 2.6 support (also removing internal OrderedDict) after adding\n    nexbars which needs collections.deque with maxlen (>= 2.7)\n  - First Writer Implemenatation for CSV Output\n  - TradeAnalyzer implementation\n  - SystemQualityNumber (SQN) implementation\n\n1.1.6.88:\n  - Broker reworked to check margin/cost limits on order submission/execution\n  - Broker fix to avoid having the wrong sign on short \"Trades\"\n  - Rework Trades commission deduction\n  - Additions to Position, Order to support broker new checks\n  - Add missing analyzers loop call to \"_next\"\n  - Observers loop handled in Strategy now (only object holding them)\n  - Observers reachable in strategy via new alias \"observers\" (in addition to\n    \"stats\")\n  - Cosmetic changes to analyer pprint\n  - Correction to Position.__len__ to work with negative sizes (short positions)\n  - Crossover defaults to true for plotting just like any other indicator\n  - \"Exactbars\" mode added which limits the amounts of bars to those needed by\n    each indicator. Disables runonce, preloading and plotting. It uses a\n    ringbuffer method\n  - Documentation/Samples directory (and hence doc fixes) rework\n  - Documentationn rework for direct execution of scripts against sample datas\n    #16\n  - Multiple Data Strategy added as Sample\n  - Automatic import of flushfile\n  - Added LineForward as complement to LineDelay\n  - Correct double call to Analyzer._next\n  - Cover case in which a line from a data is directly assigned, avoiding the\n    binding to kick-in too early\n  - Correction in Accum indicator (typo line -> lines) and super addition to\n    WilliamsAD\n\n1.1.5.88:\n  - Added reversion to stage1 operator behavior when the strategy backtesting is\n    over\n  - Refactoring of minimum period calculation in LineIterator\n  - Refactoring of strategy minimum period calculation to allow indicator\n    injection\n  - Cerebro support for addition of indictors to inject into strategies\n  - bt-run rework to support multiple strategies (o none), observers, indicators\n    and analyzers with individual kwargs per entry\n  - bt-run rework of plotting to single argument with kwargs\n  - Corrected ill behavior when separatin multiple line objects passed as single\n    argument to an indicator which lead to multi-owner management for the 2nd\n    line and posterior\n  - Analyzer defines stubs for print pprint and get_analysis\n  - Addion of LineDelay opposite: LineForward to support positive (look/write\n    backwards) arguments in the line(period) notation\n  - Added datas and data alias in Analyzers\n\n1.1.4.88:\n  - Thorough documentation rework\n  - Corner case for multiple timeframe datas when the larger timeframe doesn't\n    contribute to minimum period with indicators\n  - Correction of data resampling which affected same timeframe (which is valid\n    because compression can be different)\n  - Built-In Strategies auto-documentation added\n  - Blaze data support and Pandas Datafeed with only numeric indices support\n  - bt-run accepts kwargs per loaded object (strategy, observer, analyzer) and\n    can load the default Strategy object if none is specified\n\n1.1.3.88:\n  - Automation bt-run.py script added\n  - Pandas Dataframe support\n  - Improvements to OrderedDict imports for Python 2.6 compatibility\n  - Default reference price for orders is bar closing price if not set like in\n    Market orders\n  - Analyzers added: non-lines objects offering in-run/post-run statistics\n  - Analyzers added: SharpeRatio and AnnualReturn\n  - Improved Observers which now support (like Indicators/Strategies)\n    prenext/nextstart\n  - Simplified cerebro return values for run: single list if not optimizing and\n    list of lists if optimizing\n  - Order Execution Sample script added\n  - SMA_CrosssOver Strategy included in submodule backtrader.strategies\n\n1.1.2.88:\n  - Generic Data Feed Development Documentation\n  - Observers Documentation\n  - Support for last tick values in data feeds (data.tick_xxx with xxx being,\n    open, high, low, close, volume, openinterest. Unless a real-time feed is\n    used or a replay is done, the values will be those of the regular bar\n  - Replayer support filling up the last used tick_xxx values\n  - Orders have new attribute with the next end of session after the order\n  - Broker uses the tick prices for order execution supporting with it the same\n    logic in replay and regular mode\n  - Fixes #11: On Market Close Orders new logic including end of session check\n    support\n  - VisualChart binary file direct support\n\n1.1.1.88:\n  - Quickstart documentation update to use Trades\n  - Issue #3 setcash before the run corrected\n  - Addition of GenericCSVData (following #6)\n  - Documentation on DataFeeds\n  - SierraChartCSVData added\n  - Documentation on DataFeed development\n  - #8 to address valid for order limited in time\n  - Improved to order creation (via buy/sell) from the strategy\n  - Corrected plimit typo in order execution\n  - Corrected redefinition of enum for order execution types Stop/StopLimit\n  - Order cloning and unique id per order to allow same order notified\n    twice in same interval with different events\n  - Added missing notification for order.accept\n  - Broker refactoring on BuyOrder detection and price naming for limit\n  - Documentation on order creation and execution\n\n1.1.0.88:\n  - Added Gitter stuff to README.rst\n  - Documentation updates\n  - Moved operations calculations to strategy with extra P&L information from\n    the broker (with an updated CommissionInfo profitandloss method) and\n    simplified Operations observer along the way\n  - Removal of the analyzer paradigm, refactoring the introduction of observers,\n    which now can be done through Cerebro to make them really usable as\n    statistics generators. Default observers get added from Cerebro unless\n    explicitly indicatoed not to do so\n  - notify renamed to notify_order (patch support included)\n  - notify_operation renamed to notify_trade\n  - All \"Operation\" references changed to \"Trade\"\n  - Minor version bump due to the \"Operation\" and \"Observer\" refactoring\n  - Addition of a drawdown observer\n\n1.0.10.88:\n  - Further corrections for more \"unpickable\" cases\n\n1.0.9.88:\n  - Multicore support for optimization\n  - Corrected quickstart samples to change Yahoo \"reversed\" to \"reverse\" and\n    change the value from True to False\n  - Changes needed to support pickling: adding dynamic classes to modules,\n    assigning unique names to dynamic classes, not keeping instance methods in\n    variables and removing lambda definitions for functions defined at module\n    level\n  - Changes to testcommon and test_strategy_optimized to avoid nosetests errors\n    with multiprocessing\n\n1.0.8.88:\n  - Correction to yahoodownload from landscape.io check when exception is raised\n  - alias plotname assignment done before the alias variable is overwritten to\n    avoid plotname from just being the 2nd letter of the alias\n  - Added incminperiod to increase minperiods with non further calculations\n  - Notation relaxation: indicators may not indicate on which data they operate\n    and the data of the owner will be used automatically\n  - zlema now calles super on init\n  - Cosmetic corrections to moving averages to not use aliased names\n  - Corner minimum period calculation case covered in\n    ExponentialSmoothingDynamic in which a passed line as a parameter is not being\n    considered in any calculation because there is no line assignment in the\n    indicator\n  - Corrections to FeedBase to avoid passing \"dataname\" twice\n  - Added a crosshairs cursor to the charts using modified MultiCursor from\n    matplotlib (submitted to Matplotlib)\n  - Moving Average Refactoring into separated files\n  - Indicators (88): Trix/TrixSignal (w doc/test)\n\n1.0.7.86\n  - Import Indicator and functions into the indicators package to enable\n    indicators to do a \"from .\" import\n  - Improvements to class alias definition\n  - Indicators (74): basicops receives Average, WeightedAverage, ExpSmoothing,\n    ExpSmoothingDynamic\n  - Indicator (75): ZLEMA with tests and documentation\n  - Refactored MovingAverage placeholder and MovingAverages to use basic\n    operations and autoregister in the placeholder\n  - Refactored DEMA, TEMA, ZLEMA to subclasses of MovingAverageBase for\n    autoregistrattion\n  - Refactored envelope to automatically create envelopes from all\n    auto-registered MovingAverages\n  - Refactored oscillator to automatically create envelopes from all\n    auto-registered MovingAverages\n  - Indicators (77): ZLEMAEnvelope, ZLEMAOscillator added\n  - Indicators (79): TrueLow, TrueHigh added and TrueRange refactored to use them\n  - Indicators (81): UpDayBool, DownDayBool as specialized versions of UpDay and\n    DownDay\n  - Refactored all indicators to do a relative \".\" import for Indicator and\n    functions\n  - Removed docstring code from LineSeries to move it to a sphinx extension\n  - Added sphinx etension to automate documentation of indicators\n  - Removed previous indicator documentation and added \"indautoref\" own\n    directive for autodocumentation\n  - indicators autoregister with Indicator (for things like autodocumentation)\n  - Avoid automatically generated Envelope/Oscillator from MovingAverages to\n    register to avoid \"EnvelopeOscillator\" subclasses\n  - Indicators receiving only 1 data get the 2nd and later lines as extras (use\n    case: a crossover uses line 0 and 1 automatically)\n  - Indicators (85): PriceOscillator, PercentagePriceOscillator,\n    PercentagePriceOscillatorShort, PrettyGoodOscillator added\n  - Indicators (86) - Williams Accumulation/Distribution (WilliamsAD) added\n\n1.0.6.70\n  - Correction of bug which prevented lines in different indicators to have the\n    same name and different index at the same hierarchy level\n  - Added AroonUpDown, AroonOscillator, AroonUp, AroonDown,\n    AroonUpDownOscillator (with tests and docs)\n  - Added basic indicators FindFirstIndex, FindFirstIndexHighest,\n    FindFirstIndexLowest (with test and docs)\n  - Added basic indicators FindLastIndex, FindLastIndexHighest,\n    FindLastIndexLowest (with test and docs)\n  - Documented OperationN (so anyone can subclass it if wished)\n  - Removed old MaxN and MinN (same as Highest and Lowest)\n  - Made RSI_SMA the class and RSI_Cutler the alias\n  - Added support in plot and lineiterator to put plot specific code (like\n    dynamically setting plothlines) in a separate method to fully separate\n    indicator logic from any plotting logic\n  - Fully specified Python versions supported in setup.py and some PEP8 changes\n  - Changed test case generation string printing to simplify operations (Python\n    3.2 doesn't support 'u')\n  - Existing indicators updated to use new plot/indicator code logic separation\n  - Improvements to envelope object hierarchy with method to prepare periods\n  - Changed (previously unused) behavior of assignment to lines[x],\n    allowing establishing line bindings without knowing the alias\n  - Subclass OperationN from new PeriodN to allow for subclasses of\n    basic PeriodN with no need to define \"func\"\n  - LineSeries objects \"lines\" can be mixed with objects holding \"lines\"\n    attributes\n  - MetaParams objects can be mixed with other objects containing \"params\"\n  - MetaLineSeries support for alias definition and autodocumentation of alias,\n    lines, parameters, plotinfo and plotlines\n  - Correction to AutoInfoClass._getdefaults to correctly return a list under\n    Py3\n  - Refactored Moving Averages to be \"formulated\" objects rather than next/once\n    based to allow for easy mixin/subclassing\n  - Refactored and simplified envelope indicators\n  - Refactored indicators to use alias and semi-autodocumentation facilities\n    from LineSeries\n  - Indicators (60): DEMA, TEMA (with tests and docs)\n  - Indicators (62): DEMAEnvelope, TEMAEnvelope (with tests and docs)\n  - Indicators (70): Oscillator, SMAOsc, EMAOsc, SMMAOsc, WMAOsc, DEMAOsc and\n    TEMAOsc (with testcases and docs) added (MixIn also documented)\n  - Testcase for Envelope added\n  - Plot bug correccted which could prevent indicators (on same plot as data) on\n    indicators from being plotted\n  - Plot support for plotlines properties to be specified as lines\n\n1.0.5.47\n  - CCI Plotting labels improved\n  - WilliamsR plotname/plotlines names improved\n  - Stochastic plotlines names improved\n  - Momentum plotting labels improved\n  - DirectionalMovement plotting labels improved\n  - XXXDeviations plotting labels improved\n  - Changes (__hash__ in lineroot and list(xxx.values) when plotting) for Python\n    3.4 compatibility\n  - test_strategy_optimized import xrange from six for Python 3 and travis.yml\n    updated to runn with Python 3.4 too\n  - OrderedDict recipe added for Python 2.6 compatibility\n  - Continuous integration check under Travis added for 2.6/3.2/3.3\n  - Updated Readme and docs about Python compatibility\n\n1.0.4.47\n  - Tests for strategy optimized/not optimized added\n  - Cosmetic change to \"triggered\" parameter initialization in StopLimitOrders\n  - Test added for \"Operation\"\n  - Test for \"Position\"\n  - All indicators changed to used absolute imports for clarity and possible\n    independence\n  - Added indicator MeanDeviation (and doc)\n  - Added indicator CommodityChannelIndex (CCI) (docs and test)\n  - Reordered StdDeviation/MeanDeviation into own module and doc sub-section\n  - Plot support for lines having a name different than the class alias (ex:\n    plusDI can be plotted as +DI)\n  - Update docs badge link to project, add direct link to indicators in docs and\n    clarify installation from sources with header\n  - Refactoring of UpDays/DownDays to UpDay/DownDay for RSI\n  - DirectionalMove Indicators (+tests/docs): DI, +DI, -DI, ADX, ADXR, DMI, DM\n\n1.0.3.36\n  - Wikipedia link for DetrendedPriceOscillator\n  - Renaming of Stochastic and Williams lines to include \"perc\" (originally %)\n  - Removal of specific plotnames in MovingAverages\n  - Williams renamed to WilliamsR for accuracy and line renamed to percR\n  - Stochastic lines renamed to percK and percD from kperc and dperc for\n    accuracy\n  - StochasticFull added (3 lines)\n  - CrossOver, CrossUp, CrossDown indicators and documentation\n  - Correct broker usage in \"close\" operation\n  - Operations observer plotting style changed to \"full\"\n  - BuySell observer plotting style changed to full and buy color changed to\n    lime for visibility\n  - Broker correction of initial commission assigment. Introduced error when\n    adding support for optimization\n  - Added indicators: Envelope, SMAEnvelope, EMAEnvelope, SMMAEnvelope,\n    WMAEnvelope, KAMAEnvelope (tests and docs included)\n  - Corrected label plotting when a LineSeries object is passed as label\n  - Documentation and test for CommissionInfo\n\n1.0.2.26\n  - Correction to minperiod calculation to correctly calculate and take into\n    account indicator on indicator/single lines minperiods together with\n    multi-timeframe datas\n  - Extra plotting defaults to lineiterator to simplify plotting code\n  - Added plotforce to force plotting of an indicator which relies on\n    non-plotted/plottable data/clock sources\n  - Plotting support for indicator on indicator respecting above/below order\n  - Support plotting indicators which don't have a data/indicator clock by\n    looking up the chain\n  - Add badges' alternative test and add a badge for the documentation\n  - KAMA sets plotname to override inherited one from SimpleMovingAverage\n  - Williams %R indicator and test\n  - Momentum, RateOfChange, MomentumOscillator and tests\n\n1.0.1.22\n  - Reordering and addition of sample datas\n  - Addition of samples limited to 2014 and 2006\n  - Independent Yahoo Online Download Tool\n  - TrueRange formula improvement\n  - Changed LineSeries \"array\" access to property\n  - data_0 references changed to more generic data\n  - Added AdaptiveMovingAverage\n  - AdaptiveMovingAverage added to the docs\n  - YahooCSV \"reversed\" parameter changed to reverse (and inverted default to\n    False\n  - Changes to make online downloads Py3 compatible\n  - Multi-Timeframe datas which are exhausted will return empty bars\n  - Improvements in VChartCSVData for name and timeframe recognition\n  - Added own simple csv format for sample\n  - Reordering/Addition of data samples\n  - Addition of nosetest testcases covering indicators, data multi timeframe\n    and resampling\n  - Travis-ci integration\n  - Extra minperiod check in LineIterator postinit hook to account for\n    indicators with calculations in __init__ not applied directly to line\n    assignments\n\n1.0.0.21\n  - First tagged and documented release\n"
  },
  {
    "path": "contrib/datas/daily-KO.csv",
    "content": "Date,Open,High,Low,Close,Volume,Adj Close\n1997-01-02,52.5,52.5,51.125,51.875,7161800,16.206907\n1997-01-03,52.25,53.375,52.25,53.125,5312000,16.597435\n1997-01-06,53.125,53.625,52.25,52.625,6259600,16.441224\n1997-01-07,52.625,54.375,51.875,54.375,7325400,16.987963\n1997-01-08,54.375,54.5,53.125,53.375,5712000,16.675541\n1997-01-09,53.625,54.375,53.625,53.875,5715000,16.831752\n1997-01-10,53.875,54.125,52.625,54.125,6061600,16.909857\n1997-01-13,54.125,54.5,53.625,54.0,4327400,16.870804\n1997-01-14,54.5,55.75,54.5,55.5,7006000,17.339438\n1997-01-15,55.5,57.5,55.0,57.0,9699000,17.808071\n1997-01-16,57.0,57.875,56.625,57.625,6928200,18.003335\n1997-01-17,57.625,59.125,57.5,58.75,11371200,18.35481\n1997-01-20,58.75,59.875,58.75,58.75,7465600,18.35481\n1997-01-21,58.75,60.25,58.25,59.625,10445800,18.62818\n1997-01-22,59.625,59.75,58.875,59.375,6367200,18.550074\n1997-01-23,59.375,59.375,57.375,57.5,6414200,17.964283\n1997-01-24,57.5,57.75,56.125,57.125,10216000,17.847124\n1997-01-27,56.875,56.875,56.0,56.375,6329200,17.612807\n1997-01-28,56.375,57.125,55.0,55.5,8533400,17.339438\n1997-01-29,55.625,56.5,55.625,56.5,7654800,17.65186\n1997-01-30,56.625,57.5,56.625,57.375,5516800,17.92523\n1997-01-31,57.375,58.5,57.125,57.875,8654800,18.081441\n1997-02-03,57.875,59.5,57.75,59.5,7693400,18.589127\n1997-02-04,59.5,59.625,58.75,59.375,7997800,18.550074\n1997-02-05,59.375,59.875,57.875,58.25,7809800,18.198599\n1997-02-06,58.25,58.5,57.625,57.75,6090800,18.042388\n1997-02-07,57.75,58.375,57.0,58.25,6966000,18.198599\n1997-02-10,58.25,59.625,58.25,58.25,4787000,18.198599\n1997-02-11,58.25,59.25,58.25,59.25,4324600,18.511022\n1997-02-12,59.25,60.25,59.25,60.25,7335800,18.823444\n1997-02-13,60.25,61.0,60.0,61.0,7387800,19.057761\n1997-02-14,61.0,61.0,60.25,60.625,5933000,18.940602\n1997-02-18,60.625,61.5,60.5,61.5,5406800,19.213972\n1997-02-19,61.5,62.25,61.25,62.0,5995200,19.370183\n1997-02-20,61.875,61.875,61.125,61.25,5168600,19.135866\n1997-02-21,61.25,62.25,61.125,62.0,8153200,19.370183\n1997-02-24,62.0,63.0,61.5,62.875,6032000,19.643552\n1997-02-25,62.875,63.25,62.125,62.625,5326600,19.565447\n1997-02-26,62.5,62.5,60.5,61.0,7813600,19.057761\n1997-02-27,61.25,62.125,61.25,61.625,6025400,19.253025\n1997-02-28,61.625,61.75,60.625,61.0,5767400,19.057761\n1997-03-03,60.625,60.625,60.0,60.375,5929600,18.862497\n1997-03-04,60.375,60.875,59.25,59.25,7598400,18.511022\n1997-03-05,59.25,60.375,59.0,60.25,7617000,18.823444\n1997-03-06,60.625,61.375,60.625,60.875,10409400,19.018708\n1997-03-07,60.875,61.125,60.5,60.5,4057000,18.901549\n1997-03-10,60.5,61.25,60.375,61.125,6053600,19.096813\n1997-03-11,61.375,62.25,61.375,62.0,6334000,19.370183\n1997-03-12,61.875,61.875,60.75,61.0,5602800,19.100891\n1997-03-13,60.5,60.5,59.75,59.875,8282200,18.748621\n1997-03-14,59.875,60.125,59.25,59.5,6156600,18.631197\n1997-03-17,59.5,60.25,58.75,60.25,5342800,18.866044\n1997-03-18,60.25,60.625,59.875,60.375,5711800,18.905185\n1997-03-19,60.375,60.5,59.125,59.625,6087200,18.670338\n1997-03-20,59.625,59.75,58.625,59.0,4601200,18.474633\n1997-03-21,59.25,60.25,59.25,60.0,9848000,18.787762\n1997-03-24,60.0,60.125,58.875,59.75,6487000,18.70948\n1997-03-25,59.75,60.375,59.5,59.5,6652000,18.631197\n1997-03-26,59.375,59.375,58.125,58.625,7335200,18.357209\n1997-03-27,58.625,59.0,56.625,57.375,9268200,17.965797\n1997-03-31,56.875,56.875,55.25,55.75,13222800,17.456962\n1997-04-01,55.75,56.625,55.125,56.125,10285200,17.574386\n1997-04-02,56.125,56.75,55.5,55.75,5577000,17.456962\n1997-04-03,55.75,55.875,55.125,55.375,6560000,17.339539\n1997-04-04,55.375,57.375,55.125,57.375,6555400,17.965797\n1997-04-07,57.375,57.625,56.375,56.375,4746800,17.652668\n1997-04-08,56.375,57.0,55.625,56.75,4562400,17.770091\n1997-04-09,56.75,57.625,56.5,57.625,4871200,18.04408\n1997-04-10,57.625,57.75,57.0,57.0,3512200,17.848374\n1997-04-11,56.5,56.5,52.75,53.75,9281800,16.830703\n1997-04-14,54.25,55.875,54.25,55.625,9076800,17.417821\n1997-04-15,56.5,58.25,56.5,58.0,9081200,18.161503\n1997-04-16,58.0,59.0,57.75,58.75,7066000,18.39635\n1997-04-17,58.75,59.375,58.375,58.5,6547600,18.318068\n1997-04-18,58.5,59.875,58.5,59.625,7851400,18.670338\n1997-04-21,59.625,60.0,58.5,58.625,6825800,18.357209\n1997-04-22,59.0,61.875,59.0,61.875,10975200,19.374879\n1997-04-23,61.875,61.875,59.875,60.25,7897400,18.866044\n1997-04-24,60.25,61.0,59.75,60.0,4965000,18.787762\n1997-04-25,60.0,60.125,59.0,59.125,3983000,18.513774\n1997-04-28,59.125,61.125,58.875,61.125,4662200,19.140032\n1997-04-29,61.5,62.75,61.5,62.625,8004600,19.609727\n1997-04-30,62.625,63.75,62.25,63.625,8171000,19.922856\n1997-05-01,63.125,63.125,62.125,62.125,6145400,19.453162\n1997-05-02,62.375,64.25,62.375,64.0,5663200,20.040279\n1997-05-05,64.0,66.0,64.0,66.0,7260200,20.666538\n1997-05-06,66.0,67.125,65.625,66.5,10744400,20.823103\n1997-05-07,66.5,66.5,65.25,65.375,6473600,20.470832\n1997-05-08,65.375,66.125,64.625,64.625,8315800,20.235985\n1997-05-09,64.625,65.625,64.25,65.375,6832400,20.470832\n1997-05-12,65.375,66.75,65.375,66.5,5201600,20.823103\n1997-05-13,66.5,66.75,65.625,66.5,5670800,20.823103\n1997-05-14,66.75,67.5,66.75,67.0,5574600,20.979667\n1997-05-15,67.0,68.0,66.5,67.875,4740400,21.253656\n1997-05-16,67.875,68.375,66.75,66.875,9446000,20.940526\n1997-05-19,67.25,68.375,67.25,68.0,5010000,21.292797\n1997-05-20,68.0,68.5,67.5,68.375,5029600,21.41022\n1997-05-21,68.375,68.75,67.125,67.375,6042600,21.097091\n1997-05-22,67.375,67.625,66.375,66.5,4778200,20.823103\n1997-05-23,66.875,68.375,66.875,68.125,3512600,21.331938\n1997-05-27,68.125,69.0,66.875,68.5,6125800,21.449362\n1997-05-28,68.25,68.25,67.0,67.25,4731400,21.05795\n1997-05-29,67.25,67.5,66.875,67.5,3060200,21.136232\n1997-05-30,67.5,68.625,67.0,68.5,4255600,21.449362\n1997-06-02,68.375,68.375,67.5,67.625,3519200,21.175373\n1997-06-03,67.625,68.375,67.125,67.875,4326200,21.253656\n1997-06-04,67.875,67.875,66.625,66.625,5249800,20.862244\n1997-06-05,66.625,67.125,66.125,66.5,5899200,20.823103\n1997-06-06,66.625,68.0,66.625,67.75,4925600,21.214515\n1997-06-09,67.875,68.5,67.875,68.5,4292200,21.449362\n1997-06-10,68.5,69.25,68.125,68.375,5444600,21.41022\n1997-06-11,68.375,69.0,68.125,68.375,4033200,21.454148\n1997-06-12,69.25,70.0,69.25,70.0,6430400,21.964027\n1997-06-13,70.375,72.125,70.375,71.875,8388800,22.552349\n1997-06-16,71.875,72.625,71.625,71.625,5651000,22.473906\n1997-06-17,71.625,71.875,70.75,71.625,5209400,22.473906\n1997-06-18,71.625,72.25,71.25,71.375,5276800,22.395463\n1997-06-19,71.375,72.0,70.875,71.5,6765000,22.434685\n1997-06-20,71.5,71.75,71.125,71.375,10990600,22.395463\n1997-06-23,71.25,71.25,69.625,69.75,4148600,21.885584\n1997-06-24,69.75,70.5,69.25,70.3125,6552200,22.062081\n1997-06-25,70.3125,70.9375,68.625,69.4375,5855200,21.78753\n1997-06-26,69.4375,70.25,69.3125,69.875,4747200,21.924806\n1997-06-27,69.9375,71.1875,69.9375,71.0,5457400,22.277799\n1997-06-30,71.0,71.0625,67.078102,68.0,8405600,21.336483\n1997-07-01,68.0,69.5,67.875,68.625,11291400,21.532591\n1997-07-02,68.625,70.4375,68.125,70.4375,7417800,22.101302\n1997-07-03,70.625,71.5,70.625,70.75,4004000,22.199356\n1997-07-07,70.75,71.4375,69.5625,69.875,6065200,21.924806\n1997-07-08,69.875,70.5625,69.25,70.5625,5503200,22.140524\n1997-07-09,70.5625,70.75,69.0625,69.375,6557600,21.76792\n1997-07-10,69.375,70.375,68.9375,69.625,5044800,21.846363\n1997-07-11,69.625,70.0625,69.5625,69.8125,3087400,21.905195\n1997-07-14,69.8125,70.125,69.125,69.75,3563400,21.885584\n1997-07-15,69.75,70.1875,69.25,70.125,5041400,22.003248\n1997-07-16,70.125,71.5,70.0625,70.875,5546200,22.238577\n1997-07-17,70.875,71.9375,69.0625,69.875,7063600,21.924806\n1997-07-18,69.8125,69.8125,69.0625,69.25,9139600,21.728698\n1997-07-21,68.875,68.875,67.75,68.3125,6144800,21.434537\n1997-07-22,68.8125,70.25,68.8125,70.125,8252800,22.003248\n1997-07-23,70.125,70.75,69.0,69.0625,6741600,21.669866\n1997-07-24,69.0625,70.4375,68.4375,70.1875,6158800,22.022859\n1997-07-25,70.1875,70.9375,69.875,70.125,5221000,22.003248\n1997-07-28,70.125,70.4375,69.375,69.6875,3888000,21.865973\n1997-07-29,69.6875,70.0,68.75,69.6875,5037800,21.865973\n1997-07-30,69.6875,70.1875,69.3125,69.875,4879000,21.924806\n1997-07-31,69.875,69.9375,68.875,69.125,6088000,21.689477\n1997-08-01,69.125,70.0,68.25,68.625,7182200,21.532591\n1997-08-04,68.625,69.25,68.125,68.9375,4070000,21.630644\n1997-08-05,68.8125,68.8125,68.0,68.0,4023600,21.336483\n1997-08-06,68.0,68.625,67.4375,68.125,7832200,21.375705\n1997-08-07,67.9375,67.9375,66.5625,66.5625,7551600,20.885436\n1997-08-08,65.75,65.75,62.6875,62.6875,18877800,19.669571\n1997-08-11,62.6875,63.5,59.625,61.75,25320000,19.37541\n1997-08-12,61.75,62.25,60.625,60.9375,14184800,19.12047\n1997-08-13,60.9375,62.1875,59.875,60.4375,14515800,18.963584\n1997-08-14,60.4375,61.0625,59.5,60.0625,10822200,18.84592\n1997-08-15,59.9375,59.9375,58.0625,58.75,12587600,18.434094\n1997-08-18,58.75,60.375,58.0625,60.375,12737600,18.943973\n1997-08-19,60.375,60.9375,60.375,60.8125,10347800,19.081248\n1997-08-20,60.8125,61.8125,60.5,61.5,9331400,19.296967\n1997-08-21,61.5,61.625,59.9375,60.5625,8738400,19.002805\n1997-08-22,60.5625,60.6875,58.875,60.6875,7904800,19.042027\n1997-08-25,60.6875,61.25,59.4375,59.6875,5655800,18.728255\n1997-08-26,59.6875,60.0,59.0,59.0,6479800,18.512537\n1997-08-27,59.0,59.0,57.1875,58.625,10290200,18.394873\n1997-08-28,58.625,58.8125,57.125,58.25,9693800,18.277208\n1997-08-29,58.25,58.25,57.25,57.3125,9787600,17.983047\n1997-09-02,57.3125,59.9375,57.0,59.875,9126200,18.787087\n1997-09-03,59.875,60.3125,59.0,59.0,7742000,18.512537\n1997-09-04,59.0,59.75,58.3125,59.625,7006200,18.708644\n1997-09-05,59.625,60.625,59.625,59.875,7411800,18.787087\n1997-09-08,59.875,60.625,59.125,59.125,5261200,18.551759\n1997-09-09,59.125,59.3125,58.3125,58.75,8264600,18.434094\n1997-09-10,58.75,59.1875,57.5625,57.625,6071800,18.081101\n1997-09-11,57.5,57.5,55.375,56.125,15022400,17.653333\n1997-09-12,56.125,57.25,55.0625,57.0625,13883800,17.948211\n1997-09-15,57.0625,58.0625,57.0625,57.5625,7217600,18.105479\n1997-09-16,57.9375,60.125,57.9375,59.25,9876400,18.636258\n1997-09-17,59.25,59.9375,58.8125,59.0625,6530000,18.577283\n1997-09-18,59.0625,59.3125,58.5,58.8125,7354800,18.498649\n1997-09-19,58.8125,59.1875,58.125,59.1875,10150800,18.6166\n1997-09-22,59.625,60.1875,59.625,59.8437,5835000,18.822998\n1997-09-23,59.8437,60.1875,59.375,59.75,4942000,18.793526\n1997-09-24,59.75,61.125,59.75,60.625,9592800,19.068745\n1997-09-25,60.625,62.0625,60.4375,61.25,10278200,19.26533\n1997-09-26,61.4375,61.9375,61.4375,61.9375,5492200,19.481574\n1997-09-29,62.3125,63.125,62.3125,62.5625,8656800,19.678159\n1997-09-30,62.5,62.5,60.875,61.0,6843200,19.186696\n1997-10-01,61.0,61.9375,61.0,61.9375,6044800,19.481574\n1997-10-02,61.9375,62.875,61.75,62.875,6401600,19.776451\n1997-10-03,62.875,63.6875,61.125,62.375,8069800,19.619183\n1997-10-06,62.75,63.3125,62.75,62.875,4511000,19.776451\n1997-10-07,63.0,64.25,63.0,63.8125,6927400,20.071329\n1997-10-08,63.8125,64.125,62.5,62.75,6040800,19.737134\n1997-10-09,62.25,62.25,61.5625,61.8125,5424000,19.442257\n1997-10-10,61.8125,61.875,60.875,61.6875,3591200,19.40294\n1997-10-13,61.625,61.625,61.1875,61.3125,3216400,19.284989\n1997-10-14,61.3125,62.1875,60.375,60.75,6600200,19.108062\n1997-10-15,60.5625,60.5625,59.625,59.8125,6319200,18.813185\n1997-10-16,59.8125,60.9375,58.5625,58.9375,7278600,18.537966\n1997-10-17,58.9375,59.125,57.0625,58.5,11165600,18.400356\n1997-10-20,58.5,59.125,57.5,58.8125,8186800,18.498649\n1997-10-21,58.8125,60.125,58.6875,60.0,6119400,18.87216\n1997-10-22,60.0,60.1875,58.875,59.3125,4598200,18.655917\n1997-10-23,58.375,58.375,56.8125,57.6875,13684000,18.144796\n1997-10-24,57.6875,59.1875,55.125,55.5,15190400,17.456748\n1997-10-27,55.5,56.875,53.125,53.5625,16333400,16.847335\n1997-10-28,53.5625,57.9375,50.0,57.75,25395200,18.164454\n1997-10-29,57.75,58.9375,56.4375,57.125,14566400,17.967869\n1997-10-30,57.125,58.625,56.0,56.0,9341400,17.614016\n1997-10-31,56.3125,57.625,56.3125,56.625,8183600,17.810601\n1997-11-03,57.0,58.4375,57.0,58.25,6505000,18.321722\n1997-11-04,58.1875,58.1875,57.1875,58.0625,6270600,18.262747\n1997-11-05,58.0625,58.6875,57.5,57.625,5635600,18.125137\n1997-11-06,57.625,58.3125,57.0625,57.875,6092000,18.203771\n1997-11-07,57.4375,57.4375,55.9375,57.0,7584800,17.928552\n1997-11-10,57.0,57.4375,55.625,55.75,6303800,17.535382\n1997-11-11,56.0,56.8125,56.0,56.5625,4647200,17.790943\n1997-11-12,56.5625,57.625,56.0625,56.4375,7542400,17.751626\n1997-11-13,56.75,57.625,56.75,57.4375,7904800,18.066162\n1997-11-14,57.4375,57.8125,56.5,57.5625,6647400,18.105479\n1997-11-17,58.25,60.125,58.25,59.625,8549800,18.754209\n1997-11-18,59.625,60.5625,59.25,59.75,7615600,18.793526\n1997-11-19,59.75,62.125,59.5,62.125,10506400,19.540549\n1997-11-20,62.625,63.8125,62.625,63.5,10096600,19.973036\n1997-11-21,63.5,63.75,62.4375,63.75,9488000,20.05167\n1997-11-24,63.5625,63.5625,62.5625,62.5625,6105200,19.678159\n1997-11-25,62.6875,64.3125,62.6875,64.125,7393200,20.169621\n1997-11-26,64.0625,64.0625,62.375,62.375,6400400,19.66211\n1997-11-28,62.4375,63.0,62.4375,62.5,1953200,19.701513\n1997-12-01,62.5625,64.75,62.5625,64.5625,7679400,20.351662\n1997-12-02,64.9375,66.1875,64.9375,65.875,11096000,20.765394\n1997-12-03,65.875,66.125,64.8125,65.8125,6606400,20.745693\n1997-12-04,65.8125,66.0,64.5,64.8125,6271800,20.430468\n1997-12-05,64.8125,66.5,64.75,66.0625,5987400,20.824499\n1997-12-08,65.75,65.75,63.0,63.5625,10053200,20.036438\n1997-12-09,63.5625,63.9375,62.875,63.625,6445200,20.05614\n1997-12-10,63.625,64.125,62.9375,63.875,6047600,20.134946\n1997-12-11,63.875,64.125,63.1875,63.625,6752200,20.05614\n1997-12-12,63.875,65.3125,63.875,64.9375,6554600,20.469872\n1997-12-15,65.0,66.3125,65.0,65.875,7177200,20.765394\n1997-12-16,65.875,66.1875,65.0625,65.6875,4456200,20.70629\n1997-12-17,65.6875,66.3125,65.375,65.875,4877400,20.765394\n1997-12-18,65.875,66.375,64.1875,64.25,7065800,20.253155\n1997-12-19,64.25,65.8125,62.25,65.4375,15696800,20.627484\n1997-12-22,65.4375,66.6875,65.125,66.0625,7435400,20.824499\n1997-12-23,66.0625,66.0625,64.8125,65.0,4260800,20.489573\n1997-12-24,65.0,65.125,64.375,64.625,2728200,20.371364\n1997-12-26,64.625,65.3125,64.375,64.375,1067400,20.292558\n1997-12-29,65.3125,66.375,65.3125,66.3125,3854800,20.903305\n1997-12-30,66.5625,67.1875,66.5625,67.0625,4494400,21.139723\n1997-12-31,66.9375,66.9375,66.1875,66.6875,3640600,21.021514\n1998-01-02,66.6875,67.0,65.9375,66.9375,5443200,21.10032\n1998-01-05,66.875,66.875,65.25,66.4375,7691600,20.942708\n1998-01-06,66.4375,66.625,65.8125,66.125,5448200,20.8442\n1998-01-07,66.125,66.1875,65.125,66.1875,5357200,20.863902\n1998-01-08,66.1875,67.0,65.75,66.625,6323800,21.001812\n1998-01-09,66.625,66.6875,64.0625,64.125,8747200,20.213752\n1998-01-12,64.125,66.1875,62.25,66.0625,8895200,20.824499\n1998-01-13,66.0625,66.1875,64.625,65.375,6400000,20.607782\n1998-01-14,65.25,65.25,64.25,64.625,5673200,20.371364\n1998-01-15,64.4375,64.4375,63.5625,63.75,4166800,20.095543\n1998-01-16,64.3125,65.1875,64.3125,65.0,8217000,20.489573\n1998-01-20,65.0625,65.9375,65.0625,65.9375,4942000,20.785096\n1998-01-21,65.9375,65.9375,65.0,65.5,4477400,20.647185\n1998-01-22,65.5,66.0,64.6875,65.4375,5446400,20.627484\n1998-01-23,65.4375,65.625,63.625,63.8125,5033800,20.115244\n1998-01-26,63.8125,64.3125,62.4375,63.0625,5051800,19.878826\n1998-01-27,63.0625,64.125,62.8125,63.25,5669200,19.937931\n1998-01-28,63.25,64.75,62.375,64.125,10064600,20.213752\n1998-01-29,64.1875,65.5625,64.1875,64.75,6681000,20.410767\n1998-01-30,64.75,65.0,64.5,64.75,4994800,20.410767\n1998-02-02,65.25,67.125,65.25,66.6875,10112200,21.021514\n1998-02-03,66.6875,67.625,66.5,67.5,7294600,21.277634\n1998-02-04,67.4375,67.4375,66.75,67.0625,5980800,21.139723\n1998-02-05,67.0625,67.625,66.8125,67.5625,7490600,21.297335\n1998-02-06,67.5625,68.0625,67.1875,67.1875,4298600,21.179126\n1998-02-09,67.1875,67.4375,67.0,67.375,3552000,21.238231\n1998-02-10,67.375,68.375,67.375,67.9375,5323400,21.415544\n1998-02-11,67.9375,68.875,67.8125,68.875,4338000,21.711067\n1998-02-12,68.875,69.5625,67.9375,69.25,5871600,21.829276\n1998-02-13,69.1875,69.1875,68.25,68.5625,4396200,21.612559\n1998-02-17,68.5625,69.25,68.1875,68.5,4680800,21.592858\n1998-02-18,68.5,69.8125,68.125,69.125,4588800,21.789873\n1998-02-19,69.0,69.0,68.4375,68.75,3483200,21.671664\n1998-02-20,68.75,69.6875,68.5,69.5625,5884200,21.927783\n1998-02-23,69.5625,69.75,68.625,69.1875,4430200,21.809574\n1998-02-24,69.0625,69.0625,68.0625,68.3125,4511200,21.533753\n1998-02-25,68.4375,69.0625,68.4375,68.625,3796400,21.632261\n1998-02-26,68.625,69.25,68.375,68.875,2958600,21.711067\n1998-02-27,68.875,68.9375,68.3125,68.625,3544200,21.632261\n1998-03-02,68.625,68.6875,67.9375,68.0,5421800,21.435246\n1998-03-03,68.0,68.25,67.5625,68.1875,3897800,21.49435\n1998-03-04,68.1875,68.75,67.625,68.75,5010400,21.671664\n1998-03-05,68.75,69.8125,68.375,69.3125,7645400,21.848977\n1998-03-06,69.5625,70.75,69.5625,70.5,9568800,22.223306\n1998-03-09,70.5,73.1875,70.5,72.5625,9636000,22.873456\n1998-03-10,72.5625,72.9375,72.5625,72.625,5093400,22.893158\n1998-03-11,72.5,72.5,71.875,72.4375,4748400,22.881311\n1998-03-12,72.4375,72.4375,71.625,71.625,4878600,22.624662\n1998-03-13,71.625,72.0,70.375,70.5625,4027200,22.289043\n1998-03-16,70.8125,72.1875,70.8125,71.75,4828000,22.664146\n1998-03-17,71.75,72.4375,71.375,72.4375,4683000,22.881311\n1998-03-18,72.4375,75.0,72.25,74.8125,8973400,23.631518\n1998-03-19,74.8125,75.25,74.25,74.9375,5914400,23.671003\n1998-03-20,74.9375,77.5,74.9375,77.5,10567600,24.480437\n1998-03-23,76.625,76.625,75.25,75.875,7623200,23.967137\n1998-03-24,75.875,76.75,75.4375,76.0,5543200,24.006622\n1998-03-25,76.0,76.375,75.4375,76.1875,5285200,24.065849\n1998-03-26,76.1875,76.9375,75.3125,76.4375,4528000,24.144818\n1998-03-27,76.4375,76.5,74.875,75.0625,5057400,23.710488\n1998-03-30,76.3125,79.3125,76.3125,78.375,10732000,24.756829\n1998-03-31,78.375,78.6875,77.125,77.4375,6896200,24.460694\n1998-04-01,77.4375,80.6875,77.4375,80.625,8855000,25.467551\n1998-04-02,80.625,81.375,79.8125,81.125,6690000,25.625489\n1998-04-03,81.125,81.125,79.8125,80.4375,6801200,25.408324\n1998-04-06,80.4375,81.3125,79.25,79.25,7718800,25.033221\n1998-04-07,79.125,79.125,77.9375,79.0,6177200,24.954252\n1998-04-08,79.0,79.3125,77.25,78.0625,5503200,24.658117\n1998-04-09,78.0625,78.875,77.8125,78.5625,3912000,24.816056\n1998-04-13,78.3125,78.3125,76.875,77.75,5482600,24.559406\n1998-04-14,77.75,78.0,76.8125,77.8125,4980600,24.579148\n1998-04-15,77.8125,78.0,75.625,76.6875,6630600,24.223787\n1998-04-16,76.6875,76.9375,73.875,74.8125,7165000,23.631518\n1998-04-17,74.8125,77.0,73.6875,76.8125,8330600,24.263272\n1998-04-20,76.8125,77.125,75.0,75.3125,6923400,23.789457\n1998-04-21,75.3125,75.75,74.1875,74.6875,5545200,23.592034\n1998-04-22,74.6875,76.5,74.0,75.75,6809400,23.927653\n1998-04-23,75.625,75.625,74.4375,74.75,5773000,23.611776\n1998-04-24,74.75,74.9375,73.0,73.625,4950200,23.256415\n1998-04-27,73.4375,73.4375,71.875,72.375,6224600,22.861569\n1998-04-28,72.4375,74.0625,72.4375,72.4375,5871600,22.881311\n1998-04-29,72.625,74.375,72.625,73.6875,5490400,23.276157\n1998-04-30,74.1875,76.0625,74.1875,75.875,5719200,23.967137\n1998-05-01,75.875,76.3125,75.0625,76.1875,4886600,24.065849\n1998-05-04,76.1875,76.8125,76.125,76.25,4467400,24.085591\n1998-05-05,76.25,76.25,74.8125,76.0625,3733400,24.026364\n1998-05-06,76.0625,76.625,75.625,76.0,4714200,24.006622\n1998-05-07,76.0,76.25,75.375,75.6875,5112200,23.90791\n1998-05-08,75.75,77.5,75.75,76.4375,5470000,24.144818\n1998-05-11,76.875,77.9375,76.875,77.4375,5788400,24.460694\n1998-05-12,77.4375,77.875,76.75,77.75,4218400,24.559406\n1998-05-13,77.75,78.1875,77.0,77.25,4853800,24.401468\n1998-05-14,77.25,78.4375,76.875,77.75,4586200,24.559406\n1998-05-15,77.75,78.25,76.75,76.875,5917800,24.283014\n1998-05-18,76.875,77.75,76.875,77.375,4417000,24.440952\n1998-05-19,77.625,78.375,77.625,78.0625,4154400,24.658117\n1998-05-20,78.0625,79.875,77.8125,79.8125,5574400,25.210901\n1998-05-21,79.8125,80.9375,79.25,79.4375,6537400,25.092448\n1998-05-22,79.4375,79.75,78.3125,78.8125,3618600,24.895025\n1998-05-26,78.8125,79.0,77.375,77.375,4409400,24.440952\n1998-05-27,77.375,78.25,76.5,78.25,6239800,24.717344\n1998-05-28,78.25,79.1875,77.75,78.9375,4448800,24.934509\n1998-05-29,78.9375,79.6875,78.375,78.375,5249000,24.756829\n1998-06-01,78.4375,79.75,78.4375,79.5,4791800,25.11219\n"
  },
  {
    "path": "contrib/datas/daily-PEP.csv",
    "content": "Date,Open,High,Low,Close,Volume,Adj Close\n1997-01-02,30.0,30.0,29.25,29.5,4237700,17.596354\n1997-01-03,29.75,30.0,29.625,29.75,2795500,17.745475\n1997-01-06,29.875,30.0,28.875,29.25,5361400,17.447232\n1997-01-07,29.125,29.5,28.875,29.5,4311600,17.596354\n1997-01-08,29.625,29.875,29.375,29.625,3346800,17.670915\n1997-01-09,29.625,29.75,29.125,29.25,4212900,17.447232\n1997-01-10,28.875,29.25,28.625,29.125,5606200,17.372671\n1997-01-13,29.125,29.75,29.0,29.5,3874100,17.596354\n1997-01-14,29.5,29.875,29.5,29.75,3561100,17.745475\n1997-01-15,29.625,29.75,29.5,29.625,3739000,17.670915\n1997-01-16,29.625,30.25,29.5,30.25,5840300,18.043719\n1997-01-17,30.25,30.625,30.125,30.5,6340000,18.19284\n1997-01-20,30.75,32.0,30.625,31.25,6673200,18.640205\n1997-01-21,31.125,32.0,31.125,31.75,5959200,18.938449\n1997-01-22,31.625,32.0,31.5,32.0,4539600,19.08757\n1997-01-23,35.0,35.875,33.875,35.5,30608400,21.175273\n1997-01-24,35.0,35.25,33.75,33.875,15491900,20.205983\n1997-01-27,34.125,34.5,34.0,34.125,8446400,20.355104\n1997-01-28,34.75,35.0,34.0,34.5,8297100,20.578787\n1997-01-29,34.5,34.75,34.125,34.25,5630400,20.429665\n1997-01-30,34.5,34.625,34.125,34.5,4385800,20.578787\n1997-01-31,34.5,34.875,34.375,34.875,5257700,20.802469\n1997-02-03,34.625,34.75,33.875,34.125,4219500,20.355104\n1997-02-04,33.375,33.625,32.625,32.875,10917200,19.609496\n1997-02-05,32.625,32.875,31.5,31.875,11708400,19.013009\n1997-02-06,31.875,32.5,31.75,32.375,6027300,19.311253\n1997-02-07,32.375,32.75,31.75,32.25,4643200,19.236692\n1997-02-10,32.125,32.75,32.125,32.25,3711900,19.236692\n1997-02-11,32.5,32.625,32.25,32.5,3102300,19.385813\n1997-02-12,32.25,32.375,31.75,32.25,4532800,19.236692\n1997-02-13,32.125,32.375,31.875,31.875,4405200,19.013009\n1997-02-14,32.0,32.375,31.75,32.25,5225100,19.236692\n1997-02-18,32.125,32.75,32.0,32.75,3515400,19.534935\n1997-02-19,32.5,33.25,32.5,32.875,4414500,19.609496\n1997-02-20,32.875,34.0,32.875,33.5,6854800,19.9823\n1997-02-21,33.875,34.875,33.75,34.5,8611900,20.578787\n1997-02-24,34.5,34.625,34.0,34.125,4923200,20.355104\n1997-02-25,34.375,34.625,33.875,33.875,3833700,20.205983\n1997-02-26,33.0,33.75,32.5,33.0,5652600,19.684057\n1997-02-27,33.125,33.75,32.875,33.125,4063000,19.758618\n1997-02-28,33.0,33.625,32.875,33.0,4453800,19.684057\n1997-03-03,32.75,33.625,32.75,33.375,2895600,19.907739\n1997-03-04,33.125,33.375,32.125,32.25,3983800,19.236692\n1997-03-05,32.5,32.625,32.0,32.25,4086000,19.236692\n1997-03-06,32.25,32.5,31.875,31.875,4370600,19.013009\n1997-03-07,31.875,32.0,31.625,31.75,4196000,18.938449\n1997-03-10,32.0,32.125,31.75,32.0,2817200,19.08757\n1997-03-11,31.875,32.75,31.75,32.5,4694300,19.385813\n1997-03-12,32.625,32.75,32.0,32.0,4182800,19.155352\n1997-03-13,31.875,32.0,31.375,31.375,3827700,18.781224\n1997-03-14,31.375,31.875,30.875,31.125,4452600,18.631572\n1997-03-17,31.125,31.125,30.75,30.875,4335500,18.481921\n1997-03-18,31.0,31.375,30.75,31.0,4538900,18.556747\n1997-03-19,31.125,32.125,31.125,32.0,4532700,19.155352\n1997-03-20,32.0,32.75,32.0,32.625,4527100,19.52948\n1997-03-21,32.875,33.25,32.375,32.5,5043800,19.454654\n1997-03-24,32.625,32.875,32.25,32.75,2857200,19.604305\n1997-03-25,32.625,33.25,32.5,33.25,3316300,19.903608\n1997-03-26,33.25,33.375,32.5,33.25,2782500,19.903608\n1997-03-27,33.25,33.625,33.0,33.25,3808700,19.903608\n1997-03-31,33.125,33.25,32.0,32.375,4782300,19.379828\n1997-04-01,32.5,32.5,31.625,31.875,3868000,19.080526\n1997-04-02,31.625,32.125,31.5,31.875,3449500,19.080526\n1997-04-03,31.5,31.875,31.25,31.875,2689700,19.080526\n1997-04-04,31.5,31.75,31.125,31.625,3565800,18.930875\n1997-04-07,31.75,32.25,31.625,32.125,2906300,19.230177\n1997-04-08,32.0,32.375,31.875,32.125,2350800,19.230177\n1997-04-09,32.125,32.875,32.125,32.75,3126100,19.604305\n1997-04-10,32.75,33.375,32.75,33.0,3667500,19.753956\n1997-04-11,32.75,33.125,31.875,31.875,3315600,19.080526\n1997-04-14,31.875,32.75,31.875,32.625,3160100,19.52948\n1997-04-15,32.75,33.125,32.5,32.875,3499200,19.679131\n1997-04-16,32.5,33.25,32.5,32.875,3661400,19.679131\n1997-04-17,32.75,33.625,32.75,33.25,4172200,19.903608\n1997-04-18,33.25,33.375,32.875,33.125,3096800,19.828782\n1997-04-21,32.875,33.375,32.5,32.75,2270300,19.604305\n1997-04-22,32.625,33.625,32.25,33.5,3516200,20.053259\n1997-04-23,33.5,33.625,33.125,33.25,2346000,19.903608\n1997-04-24,33.25,33.625,33.0,33.5,2536500,20.053259\n1997-04-25,33.125,33.25,31.875,32.0,4437000,19.155352\n1997-04-28,32.0,32.125,31.0,31.25,4560900,18.706398\n1997-04-29,34.0,34.75,33.625,34.375,12075500,20.577038\n1997-04-30,33.625,34.875,33.5,34.875,6030300,20.87634\n1997-05-01,34.5,35.125,34.5,34.875,5352700,20.87634\n1997-05-02,34.75,35.625,34.75,35.5,4673000,21.250468\n1997-05-05,35.5,36.875,35.125,36.625,6794300,21.923899\n1997-05-06,36.5,36.875,36.25,36.375,5609300,21.774247\n1997-05-07,36.25,36.5,35.875,36.125,3683700,21.624596\n1997-05-08,35.25,36.25,35.25,35.25,3900900,21.100817\n1997-05-09,35.5,36.625,35.5,36.5,3272100,21.849073\n1997-05-12,36.375,37.375,36.375,36.75,4797700,21.998724\n1997-05-13,36.875,37.125,36.625,36.875,4150900,22.07355\n1997-05-14,37.125,37.5,37.0,37.125,3516300,22.223201\n1997-05-15,37.0,37.5,36.875,37.375,2310300,22.372852\n1997-05-16,37.125,37.625,36.75,36.75,4771000,21.998724\n1997-05-19,36.625,37.875,36.625,37.5,3072300,22.447678\n1997-05-20,37.375,37.625,36.75,37.5,3356700,22.447678\n1997-05-21,37.5,37.625,36.125,36.25,4423700,21.699422\n1997-05-22,36.125,36.375,35.375,35.5,4879300,21.250468\n1997-05-23,35.5,36.5,35.5,36.5,3739900,21.849073\n1997-05-27,36.125,37.375,36.0,37.0,4306700,22.148375\n1997-05-28,36.625,37.625,36.625,37.375,3951500,22.372852\n1997-05-29,37.25,37.625,37.25,37.375,2757800,22.372852\n1997-05-30,37.0,37.75,36.75,36.75,5550200,21.998724\n1997-06-02,37.625,38.375,37.5,37.75,5966500,22.597329\n1997-06-03,37.5,38.375,37.5,38.125,3803900,22.821806\n1997-06-04,38.0,38.125,35.625,36.0,9985300,21.549771\n1997-06-05,36.75,37.375,36.375,36.75,9514100,21.998724\n1997-06-06,36.875,37.375,36.875,37.125,3347200,22.223201\n1997-06-09,37.125,37.5,36.75,37.375,3875300,22.372852\n1997-06-10,37.375,37.625,37.125,37.625,2700900,22.522503\n1997-06-11,37.5,37.875,36.875,37.875,3953200,22.747727\n1997-06-12,38.375,38.75,38.0,38.625,4100800,23.198177\n1997-06-13,38.25,39.375,38.25,39.0,5672900,23.423402\n1997-06-16,38.625,39.0,38.375,38.5,3429600,23.123102\n1997-06-17,38.125,38.625,37.875,38.5,3598200,23.123102\n1997-06-18,38.25,38.75,38.125,38.75,2286500,23.273252\n1997-06-19,38.5,39.25,38.25,38.5,2874600,23.123102\n1997-06-20,38.25,38.5,38.125,38.125,4917700,22.897877\n1997-06-23,37.75,38.125,37.0,37.125,4052100,22.297277\n1997-06-24,37.375,37.5625,36.625,37.3125,4724400,22.40989\n1997-06-25,37.0,37.875,36.8125,37.0,4194400,22.222202\n1997-06-26,36.875,37.625,36.875,37.25,3509400,22.372352\n1997-06-27,37.25,38.75,37.25,37.875,4402300,22.747727\n1997-06-30,38.125,38.4375,37.5,37.5625,4374800,22.56004\n1997-07-01,37.5625,38.5,37.5625,38.25,3927400,22.972952\n1997-07-02,38.0625,38.25,37.75,38.0,4736400,22.822802\n1997-07-03,38.4375,39.0,38.3125,38.9375,2954200,23.385865\n1997-07-07,39.0,39.5,38.75,39.0,3951800,23.423402\n1997-07-08,39.0625,39.5,39.0,39.1875,3285400,23.536015\n1997-07-09,38.9375,39.1875,38.0,38.375,3676200,23.048027\n1997-07-10,38.375,38.875,38.1875,38.8125,3521300,23.31079\n1997-07-11,38.5625,38.875,37.125,37.375,4944400,22.447427\n1997-07-14,37.4375,38.25,37.4375,37.875,3949700,22.747727\n1997-07-15,37.8125,38.0,36.8125,37.25,4971000,22.372352\n1997-07-16,37.25,37.3125,36.25,36.5625,5399700,21.95944\n1997-07-17,36.125,36.3125,35.25,35.6875,7261900,21.433915\n1997-07-18,35.75,36.625,35.125,36.0,5329800,21.621602\n1997-07-21,35.1875,35.625,34.8125,35.5625,4511400,21.35884\n1997-07-22,37.5,38.375,37.1875,38.0625,7571200,22.86034\n1997-07-23,38.0625,38.4375,37.0,37.0,4294700,22.222202\n1997-07-24,37.25,38.0625,37.0,37.5,3775200,22.522502\n1997-07-25,37.375,38.75,37.375,38.4375,4376800,23.085565\n1997-07-28,38.3125,38.75,38.25,38.4375,2551900,23.085565\n1997-07-29,38.1875,38.1875,37.5625,37.75,3698400,22.672652\n1997-07-30,37.9375,38.6875,37.6875,38.6875,4252800,23.235715\n1997-07-31,38.6875,38.875,38.25,38.25,3683600,22.972952\n1997-08-01,37.8125,38.5,37.0,38.0625,4529600,22.86034\n1997-08-04,38.0,38.75,38.0,38.4375,3203900,23.085565\n1997-08-05,38.25,38.9375,38.125,38.8125,3250100,23.31079\n1997-08-06,38.25,39.75,38.1875,39.6875,5235700,23.836315\n1997-08-07,39.625,39.625,38.9375,39.0,3929100,23.423402\n1997-08-08,38.125,38.5625,37.25,37.5,4064100,22.522502\n1997-08-11,37.5,38.1875,37.25,38.1875,3266300,22.935415\n1997-08-12,38.125,38.1875,37.25,37.4375,2394600,22.484965\n1997-08-13,37.5625,38.0625,36.5625,36.6875,3812000,22.034515\n1997-08-14,36.625,37.25,36.0625,36.25,3904200,21.771752\n1997-08-15,36.0625,36.6875,35.5625,35.75,4657900,21.471452\n1997-08-18,35.625,36.3125,34.875,36.1875,5496200,21.734215\n1997-08-19,36.1875,36.3125,35.8125,36.1875,3693800,21.734215\n1997-08-20,35.8125,36.9375,35.6875,36.0,6454100,21.621602\n1997-08-21,35.8125,36.625,35.75,36.1875,4398800,21.734215\n1997-08-22,35.3125,36.9375,35.3125,36.75,3145300,22.072052\n1997-08-25,36.8125,37.375,36.25,36.375,3148100,21.846827\n1997-08-26,36.0625,36.8125,35.9375,36.6875,3061500,22.034515\n1997-08-27,36.625,37.25,36.3125,37.0625,3330500,22.25974\n1997-08-28,36.625,37.3125,36.0,36.75,2820800,22.072052\n1997-08-29,36.25,36.375,35.5,36.0,3091900,21.621602\n1997-09-02,36.0,36.8125,36.0,36.8125,4101600,22.10959\n1997-09-03,36.8125,37.875,36.8125,37.5625,4236600,22.56004\n1997-09-04,37.4375,37.9375,37.375,37.4375,2711200,22.484965\n1997-09-05,37.5625,37.875,37.5,37.5,2597500,22.522502\n1997-09-08,38.125,38.75,38.0,38.125,4179600,22.897877\n1997-09-09,38.0625,38.5,37.75,38.4375,3310300,23.085565\n1997-09-10,38.1875,38.5625,37.75,37.75,2763100,22.672652\n1997-09-11,37.5625,37.6875,37.0,37.5,3758700,22.522502\n1997-09-12,37.625,38.1875,37.3125,38.0625,2894000,22.86034\n1997-09-15,37.8125,38.0625,37.5,37.8125,1573600,22.71019\n1997-09-16,37.8125,38.75,37.5,38.5,3610000,23.123102\n1997-09-17,38.0,38.875,38.0,38.75,3315600,23.349061\n1997-09-18,38.875,39.1875,38.0,38.0,3336400,22.897143\n1997-09-19,38.125,38.4375,37.8125,38.1875,3962000,23.010123\n1997-09-22,38.3125,39.4375,38.0,38.875,2858800,23.42438\n1997-09-23,38.4375,39.0625,38.375,38.75,2565700,23.349061\n1997-09-24,38.5625,40.0,38.5625,39.4375,6417000,23.763318\n1997-09-25,39.375,39.875,39.25,39.6875,3930500,23.913957\n1997-09-26,39.75,40.25,39.625,40.1875,5412500,24.215236\n1997-09-29,39.875,41.3125,39.8125,41.0,5453900,24.704813\n1997-09-30,40.75,40.9375,40.0,40.5625,3716600,24.441194\n1997-10-01,40.0625,40.75,40.0,40.1875,4146100,24.215236\n1997-10-02,40.0625,40.3125,39.75,39.75,2670500,23.951617\n1997-10-03,40.125,40.75,39.4375,39.875,3528000,24.026937\n1997-10-06,40.3125,40.5,40.125,40.1875,2725200,24.215236\n1997-10-07,38.0625,39.25,37.875,38.75,4749700,25.369123\n1997-10-08,38.875,39.3125,38.625,39.25,4010800,25.696467\n1997-10-09,38.875,39.25,38.6875,39.125,3225800,25.614631\n1997-10-10,39.0,39.5,38.875,39.5,2581900,25.860138\n1997-10-13,39.375,39.9375,39.125,39.125,1892000,25.614631\n1997-10-14,39.375,39.5625,38.3125,38.75,2262600,25.369123\n1997-10-15,38.3125,38.625,37.25,37.5,3168300,24.550764\n1997-10-16,37.75,38.4375,36.375,37.25,2824800,24.387093\n1997-10-17,37.0,38.1875,36.625,37.9375,3382000,24.83719\n1997-10-20,38.25,39.0,38.0,38.875,3184800,25.450959\n1997-10-21,39.0,40.0,38.75,40.0,3893300,26.187482\n1997-10-22,40.0,40.6875,38.375,38.4375,5529700,25.164533\n1997-10-23,37.125,38.0,37.0625,37.75,4334700,24.714436\n1997-10-24,38.1875,38.75,37.25,37.375,3939600,24.468928\n1997-10-27,36.75,37.0,34.125,34.9375,5284300,22.873129\n1997-10-28,33.375,38.0,33.375,37.6875,10041500,24.673518\n1997-10-29,37.4375,37.75,35.8125,36.25,5232900,23.732405\n1997-10-30,36.25,36.9375,35.75,35.75,3745300,23.405062\n1997-10-31,36.5,37.1875,36.3125,36.875,3898700,24.141585\n1997-11-03,36.875,37.75,36.875,37.375,2964500,24.468928\n1997-11-04,37.0625,37.4375,36.8125,37.25,2341700,24.387093\n1997-11-05,37.0625,38.0625,37.0625,37.375,2399800,24.468928\n1997-11-06,36.9375,37.375,36.75,36.9375,2793400,24.182503\n1997-11-07,35.6875,36.6875,35.6875,36.4375,3396700,23.855159\n1997-11-10,36.3125,36.625,35.5,35.6875,2824900,23.364144\n1997-11-11,35.375,36.125,35.375,35.8125,1744900,23.44598\n1997-11-12,35.5625,36.25,35.25,35.375,2406200,23.159554\n1997-11-13,35.625,36.1875,35.375,35.875,2105900,23.486898\n1997-11-14,35.9375,36.8125,35.875,36.5625,2099900,23.936995\n1997-11-17,37.0,37.5,36.75,37.375,1705000,24.468928\n1997-11-18,36.875,37.1875,36.125,36.4375,2084500,23.855159\n1997-11-19,36.25,38.0625,36.25,37.5625,2839800,24.591682\n1997-11-20,37.8125,38.4375,37.6875,37.6875,3179100,24.673518\n1997-11-21,37.9375,38.0,37.3125,38.0,3841200,24.878108\n1997-11-24,37.4375,37.5625,36.875,37.0625,2893000,24.264339\n1997-11-25,37.25,37.6875,37.0625,37.1875,2838600,24.346175\n1997-11-26,37.375,37.5,36.8125,36.9375,2239800,24.182503\n1997-11-28,36.9375,37.5625,36.875,36.875,803600,24.141585\n1997-12-01,37.375,38.1875,37.25,37.6875,2963700,24.673518\n1997-12-02,37.75,38.1875,37.0625,37.375,3221900,24.468928\n1997-12-03,37.375,37.875,37.3125,37.8125,2436000,24.755354\n1997-12-04,37.8125,38.1875,37.1875,37.375,2484900,24.468928\n1997-12-05,37.125,38.0,37.125,37.3125,2196400,24.42801\n1997-12-08,37.3125,37.3125,35.875,36.5,4954000,23.896077\n1997-12-09,36.1875,36.4375,35.5625,35.8125,3616000,23.44598\n1997-12-10,35.6875,36.5625,35.1875,35.5,3350500,23.322796\n1997-12-11,35.375,35.5625,35.125,35.25,2981100,23.158551\n1997-12-12,35.5,35.9375,35.0625,35.125,3548400,23.076428\n1997-12-15,35.5625,36.0625,35.4375,36.0625,2918000,23.692347\n1997-12-16,35.5,35.625,34.75,35.4375,6885900,23.281734\n1997-12-17,35.6875,35.6875,34.8125,34.875,3890700,22.912183\n1997-12-18,34.6875,34.875,34.3125,34.75,3525900,22.83006\n1997-12-19,34.3125,35.3125,34.125,34.875,5580500,22.912183\n1997-12-22,34.875,35.5,34.875,35.125,2969700,23.076428\n1997-12-23,35.125,35.3125,34.125,34.25,4049100,22.50157\n1997-12-24,34.5,35.125,34.25,34.4375,2048500,22.624754\n1997-12-26,34.5,35.125,34.5,34.75,1034400,22.83006\n1997-12-29,35.25,35.3125,34.8125,34.875,3160600,22.912183\n1997-12-30,35.3125,36.9375,35.0625,36.6875,3813300,24.10296\n1997-12-31,36.6875,36.8125,36.25,36.25,2633900,23.815531\n1998-01-02,36.3125,36.3125,35.5625,36.0,2588900,23.651286\n1998-01-05,35.875,36.8125,35.625,36.5,3769900,23.979776\n1998-01-06,36.5,36.625,35.0,35.1875,4391300,23.117489\n1998-01-07,34.9375,35.875,34.8125,35.875,2971000,23.569163\n1998-01-08,35.875,36.3125,35.8125,35.875,2920700,23.569163\n1998-01-09,35.8125,36.1875,34.5,34.75,5114600,22.83006\n1998-01-12,34.25,35.6875,34.1875,35.375,4438700,23.240673\n1998-01-13,36.0,36.5,35.375,36.5,3309000,23.979776\n1998-01-14,36.25,36.75,35.875,36.6875,3460400,24.10296\n1998-01-15,36.75,36.875,35.875,35.9375,2027100,23.610224\n1998-01-16,36.375,37.0,36.25,36.6875,3478200,24.10296\n1998-01-20,36.875,37.75,36.5,37.625,4202400,24.718878\n1998-01-21,37.0625,37.375,36.6875,37.0,2688200,24.308266\n1998-01-22,36.875,37.125,36.5,36.875,2702700,24.226143\n1998-01-23,36.75,37.1875,36.125,36.3125,2637600,23.856592\n1998-01-26,36.1875,36.625,36.125,36.4375,2119100,23.938714\n1998-01-27,35.875,36.4375,35.5625,36.0625,2979300,23.692347\n1998-01-28,35.875,36.875,35.75,36.4375,2836800,23.938714\n1998-01-29,36.5,37.6875,36.4375,36.875,2384000,24.226143\n1998-01-30,36.625,36.75,35.9375,36.125,2563300,23.733408\n1998-02-02,36.3125,36.6875,35.75,36.5,3962000,23.979776\n1998-02-03,34.5,36.0,34.3125,35.1875,15324300,23.117489\n1998-02-04,35.0625,36.125,35.0,35.4375,6322700,23.281734\n1998-02-05,35.4375,35.9375,34.9375,35.25,4812400,23.158551\n1998-02-06,35.375,35.875,35.25,35.375,4182800,23.240673\n1998-02-09,35.375,35.8125,35.375,35.75,3082100,23.487041\n1998-02-10,35.875,36.4375,35.5625,35.5625,5350700,23.363857\n1998-02-11,35.5,35.8125,35.4375,35.625,3806500,23.404918\n1998-02-12,35.625,36.375,35.5625,36.0,3617300,23.651286\n1998-02-13,36.25,36.625,36.0,36.5,3557800,23.979776\n1998-02-17,36.1875,36.625,35.6875,35.6875,3171100,23.445979\n1998-02-18,35.6875,35.9375,35.25,35.25,3401300,23.158551\n1998-02-19,35.625,35.8125,35.4375,35.4375,3192000,23.281734\n1998-02-20,35.375,35.5625,35.0,35.4375,5047100,23.281734\n1998-02-23,35.1875,35.4375,35.0,35.25,3474700,23.158551\n1998-02-24,35.25,35.4375,35.0,35.1875,3103100,23.117489\n1998-02-25,35.1875,36.625,35.1875,36.375,5038400,23.897653\n1998-02-26,36.1875,37.0625,36.1875,36.8125,3758500,24.185082\n1998-02-27,36.4375,36.8125,36.4375,36.5,2236000,23.979776\n1998-03-02,36.75,37.1875,36.5625,37.0,3689500,24.308266\n1998-03-03,36.9375,37.375,36.625,37.375,3329700,24.554633\n1998-03-04,37.0,37.125,36.875,37.0625,2446900,24.349327\n1998-03-05,37.0625,37.125,36.25,36.5625,3126600,24.020837\n1998-03-06,36.5625,38.0,36.5625,38.0,4081500,24.965246\n1998-03-09,38.625,39.4375,38.375,39.25,5917000,25.786471\n1998-03-10,39.5,40.125,39.4375,40.125,5213400,26.361329\n1998-03-11,40.0,40.625,39.5625,40.25,4002500,26.526085\n1998-03-12,42.0,43.5,42.0,43.0,12955800,28.338427\n1998-03-13,43.0,43.375,42.625,42.9375,5084500,28.297237\n1998-03-16,43.0,43.4375,42.1875,43.3125,5315800,28.544375\n1998-03-17,42.3125,43.875,42.3125,43.5625,4018800,28.709133\n1998-03-18,43.0625,43.125,42.375,42.5625,5384600,28.0501\n1998-03-19,42.3125,42.375,41.6875,41.875,3313800,27.597014\n1998-03-20,42.25,43.0,42.0625,43.0,4505400,28.338427\n1998-03-23,42.75,42.875,42.125,42.1875,2390400,27.802962\n1998-03-24,42.4375,42.6875,42.125,42.3125,2149700,27.885341\n1998-03-25,42.6875,42.875,41.9375,42.75,2731800,28.173668\n1998-03-26,42.8125,43.5625,42.75,43.25,4226300,28.503185\n1998-03-27,43.0625,43.25,41.9375,42.3125,2860000,27.885341\n1998-03-30,42.1875,43.0625,42.125,42.75,3062900,28.173668\n1998-03-31,42.625,43.4375,42.3125,42.6875,2982500,28.132479\n1998-04-01,42.4375,43.875,42.375,43.625,4536300,28.750322\n1998-04-02,43.4375,44.5,42.9375,44.1875,3259900,29.121029\n1998-04-03,44.0625,44.8125,43.75,44.6875,3190800,29.450545\n1998-04-06,44.4375,44.8125,42.9375,42.9375,3264300,28.297237\n1998-04-07,42.6875,42.75,42.0625,42.375,3300100,27.926531\n1998-04-08,42.5,42.6875,41.875,42.0625,3635100,27.720583\n1998-04-09,42.125,42.5,42.0,42.0,1881000,27.679394\n1998-04-13,42.125,42.25,41.125,41.3125,2328400,27.226308\n1998-04-14,41.0,41.75,41.0,41.3125,2235400,27.226308\n1998-04-15,41.25,42.0,41.0625,41.8125,3758400,27.555825\n1998-04-16,41.875,41.9375,41.375,41.625,2067500,27.432256\n1998-04-17,41.625,42.0,41.3125,41.8125,2625700,27.555825\n1998-04-20,41.75,41.9375,41.4375,41.875,2626800,27.597014\n1998-04-21,41.5,42.4375,41.125,42.0625,4160900,27.720583\n1998-04-22,41.8125,44.625,41.75,43.875,4575500,28.915081\n1998-04-23,43.875,44.75,43.5,44.1875,3152500,29.121029\n1998-04-24,44.1875,44.5,43.125,43.625,2298600,28.750322\n1998-04-27,43.0625,43.1875,41.625,43.0625,3241700,28.379616\n1998-04-28,42.875,43.1875,38.75,39.75,14260400,26.196569\n1998-04-29,39.625,40.0,38.375,39.375,8285600,25.949431\n1998-04-30,39.5,40.25,39.5,39.6875,7405700,26.155379\n1998-05-01,39.75,39.9375,38.6875,39.375,4206100,25.949431\n1998-05-04,39.125,39.9375,39.0625,39.375,3726800,25.949431\n1998-05-05,39.1875,40.25,39.125,40.1875,4152200,26.484896\n1998-05-06,39.9375,40.25,39.0625,39.125,2585300,25.784673\n1998-05-07,39.0,39.125,37.8125,37.875,5591400,24.960882\n1998-05-08,38.0,38.875,38.0,38.6875,5510900,25.496346\n1998-05-11,38.6875,39.25,38.375,38.75,3658700,25.537536\n1998-05-12,38.6875,39.6875,38.6875,39.4375,3972400,25.990621\n1998-05-13,39.0625,39.625,38.75,38.875,4009300,25.619915\n1998-05-14,38.75,39.75,38.75,39.0625,4608600,25.743484\n1998-05-15,38.9375,39.1875,37.5,37.5625,6201700,24.754934\n1998-05-18,37.375,38.9375,37.375,37.8125,4448900,24.919692\n1998-05-19,37.8125,38.375,37.8125,37.9375,3128300,25.002071\n1998-05-20,39.5,40.5,39.25,40.5,8024100,26.690844\n1998-05-21,40.6875,41.1875,39.9375,40.0625,4394000,26.402517\n1998-05-22,40.0,40.3125,39.875,39.875,2135700,26.278948\n1998-05-26,40.3125,40.875,40.0,40.375,4139600,26.608465\n1998-05-27,40.0,41.375,39.9375,41.125,4131700,27.102739\n1998-05-28,40.875,41.5,40.3125,40.4375,3735600,26.649654\n1998-05-29,40.3125,41.4375,40.3125,40.8125,2998600,26.896792\n1998-06-01,40.625,41.5625,40.5625,41.5,2411800,27.349877\n"
  },
  {
    "path": "contrib/samples/pair-trading/pair-trading.py",
    "content": "# coding: utf-8\n# ##################################################################\n# Pair Trading adapted to backtrader\n# with PD.OLS and info for StatsModel.API\n# author: Remi Roche\n##################################################################\n\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass PairTradingStrategy(bt.Strategy):\n    params = dict(\n        period=10,\n        stake=10,\n        qty1=0,\n        qty2=0,\n        printout=True,\n        upper=2.1,\n        lower=-2.1,\n        up_medium=0.5,\n        low_medium=-0.5,\n        status=0,\n        portfolio_value=10000,\n    )\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = None\n        self.qty1 = self.p.qty1\n        self.qty2 = self.p.qty2\n        self.upper_limit = self.p.upper\n        self.lower_limit = self.p.lower\n        self.up_medium = self.p.up_medium\n        self.low_medium = self.p.low_medium\n        self.status = self.p.status\n        self.portfolio_value = self.p.portfolio_value\n\n        # Signals performed with PD.OLS :\n        self.transform = btind.OLS_TransformationN(self.data0, self.data1,\n                                                   period=self.p.period)\n        self.zscore = self.transform.zscore\n\n        # Checking signals built with StatsModel.API :\n        # self.ols_transfo = btind.OLS_Transformation(self.data0, self.data1,\n        #                                             period=self.p.period,\n        #                                             plot=True)\n\n    def next(self):\n\n        if self.orderid:\n            return  # if an order is active, no new orders are allowed\n\n        if self.p.printout:\n            print('Self  len:', len(self))\n            print('Data0 len:', len(self.data0))\n            print('Data1 len:', len(self.data1))\n            print('Data0 len == Data1 len:',\n                  len(self.data0) == len(self.data1))\n\n            print('Data0 dt:', self.data0.datetime.datetime())\n            print('Data1 dt:', self.data1.datetime.datetime())\n\n        print('status is', self.status)\n        print('zscore is', self.zscore[0])\n\n        # Step 2: Check conditions for SHORT & place the order\n        # Checking the condition for SHORT\n        if (self.zscore[0] > self.upper_limit) and (self.status != 1):\n\n            # Calculating the number of shares for each stock\n            value = 0.5 * self.portfolio_value  # Divide the cash equally\n            x = int(value / (self.data0.close))  # Find the number of shares for Stock1\n            y = int(value / (self.data1.close))  # Find the number of shares for Stock2\n            print('x + self.qty1 is', x + self.qty1)\n            print('y + self.qty2 is', y + self.qty2)\n\n            # Placing the order\n            self.log('SELL CREATE %s, price = %.2f, qty = %d' % (\"PEP\", self.data0.close[0], x + self.qty1))\n            self.sell(data=self.data0, size=(x + self.qty1))  # Place an order for buying y + qty2 shares\n            self.log('BUY CREATE %s, price = %.2f, qty = %d' % (\"KO\", self.data1.close[0], y + self.qty2))\n            self.buy(data=self.data1, size=(y + self.qty2))  # Place an order for selling x + qty1 shares\n\n            # Updating the counters with new value\n            self.qty1 = x  # The new open position quantity for Stock1 is x shares\n            self.qty2 = y  # The new open position quantity for Stock2 is y shares\n\n            self.status = 1  # The current status is \"short the spread\"\n\n            # Step 3: Check conditions for LONG & place the order\n            # Checking the condition for LONG\n        elif (self.zscore[0] < self.lower_limit) and (self.status != 2):\n\n            # Calculating the number of shares for each stock\n            value = 0.5 * self.portfolio_value  # Divide the cash equally\n            x = int(value / (self.data0.close))  # Find the number of shares for Stock1\n            y = int(value / (self.data1.close))  # Find the number of shares for Stock2\n            print('x + self.qty1 is', x + self.qty1)\n            print('y + self.qty2 is', y + self.qty2)\n\n            # Place the order\n            self.log('BUY CREATE %s, price = %.2f, qty = %d' % (\"PEP\", self.data0.close[0], x + self.qty1))\n            self.buy(data=self.data0, size=(x + self.qty1))  # Place an order for buying x + qty1 shares\n            self.log('SELL CREATE %s, price = %.2f, qty = %d' % (\"KO\", self.data1.close[0], y + self.qty2))\n            self.sell(data=self.data1, size=(y + self.qty2))  # Place an order for selling y + qty2 shares\n\n            # Updating the counters with new value\n            self.qty1 = x  # The new open position quantity for Stock1 is x shares\n            self.qty2 = y  # The new open position quantity for Stock2 is y shares\n            self.status = 2  # The current status is \"long the spread\"\n\n\n            # Step 4: Check conditions for No Trade\n            # If the z-score is within the two bounds, close all\n        \"\"\"\n        elif (self.zscore[0] < self.up_medium and self.zscore[0] > self.low_medium):\n            self.log('CLOSE LONG %s, price = %.2f' % (\"PEP\", self.data0.close[0]))\n            self.close(self.data0)\n            self.log('CLOSE LONG %s, price = %.2f' % (\"KO\", self.data1.close[0]))\n            self.close(self.data1)\n        \"\"\"\n\n    def stop(self):\n        print('==================================================')\n        print('Starting Value - %.2f' % self.broker.startingcash)\n        print('Ending   Value - %.2f' % self.broker.getvalue())\n        print('==================================================')\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data0 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data0,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data0)\n\n    # Create the 2nd data\n    data1 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data1,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 2nd data to cerebro\n    cerebro.adddata(data1)\n\n    # Add the strategy\n    cerebro.addstrategy(PairTradingStrategy,\n                        period=args.period,\n                        stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.commperc)\n\n    # And run it\n    cerebro.run(runonce=not args.runnext,\n                preload=not args.nopreload,\n                oldsync=args.oldsync)\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiData Strategy')\n\n    parser.add_argument('--data0', '-d0',\n                        default='../../datas/daily-PEP.csv',\n                        help='1st data into the system')\n\n    parser.add_argument('--data1', '-d1',\n                        default='../../datas/daily-KO.csv',\n                        help='2nd data into the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='1997-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='1998-06-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=10, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--runnext', action='store_true',\n                        help='Use next by next instead of runonce')\n\n    parser.add_argument('--nopreload', action='store_true',\n                        help='Do not preload the data')\n\n    parser.add_argument('--oldsync', action='store_true',\n                        help='Use old data synchronization method')\n\n    parser.add_argument('--commperc', default=0.005, type=float,\n                        help='Percentage commission (0.005 is 0.5%%')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', default=True, action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "contrib/utils/influxdb-import.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n\nimport sys\nimport os\nimport io\nimport logging\nimport argparse\nimport pandas as pd\nfrom influxdb import DataFrameClient as dfclient\nfrom influxdb.exceptions import InfluxDBClientError\n\n\n\nclass InfluxDBTool(object):\n    def __init__(self):\n        self._host = args.host if args.host else 'localhost'\n        self._port = args.port if args.port else 8086\n        self._username = args.username if args.username else None\n        self._password = args.password if args.password else None\n        self._database = args.database if args.database else 'instruments'\n        self._ticker = args.ticker\n        self._cache = os.path.expanduser(args.sourcepath)\n\n        self.dfdb = dfclient(self._host, self._port,\n                             self._username, self._password,\n                             self._database)\n\n    def write_dataframe_to_idb(self, ticker):\n        \"\"\"Write Pandas Dataframe to InfluxDB database\"\"\"\n        cachepath = self._cache\n        cachefile = ('%s/%s-1M.csv.gz' % (cachepath, ticker))\n\n        if not os.path.exists(cachefile):\n            log.warn('Import file does not exist: %s' %\n                     (cachefile))\n            return\n\n        df = pd.read_csv(cachefile, compression='infer', header=0,\n                         infer_datetime_format=True)\n\n        df['Datetime'] = pd.to_datetime(df['Date'] + ' ' + df['Time'])\n        df = df.set_index('Datetime')\n        df = df.drop(['Date', 'Time'], axis=1)\n\n        try:\n            self.dfdb.write_points(df, ticker)\n        except InfluxDBClientError as err:\n            log.error('Write to database failed: %s' % err)\n\n    def get_tickers_from_file(self, filename):\n        \"\"\"Load ticker list from txt file\"\"\"\n        if not os.path.exists(filename):\n            log.error(\"Ticker List file does not exist: %s\", filename)\n\n        tickers = []\n        with io.open(filename, 'r') as fd:\n            for ticker in fd:\n                tickers.append(ticker.rstrip())\n        return tickers\n\n\nif __name__ == \"__main__\":\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=\"Run InfluxDB Import\")\n\n    exoptgroup = parser.add_mutually_exclusive_group(required=False)\n    exoptgroup.add_argument(\"--ticker\",\n                            action='store', default='SPY',\n                            help=\"Ticker to request data for.\")\n    exoptgroup.add_argument('--ticker-list',\n                            action='store', default=None,\n                            help='Path to folder to create files.')\n    parser.add_argument('--host',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB hostname.')\n    parser.add_argument('--port',\n                        required=False, action='store',\n                        default=None, type=int,\n                        help='InfluxDB port number.')\n    parser.add_argument('--username',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB username.')\n    parser.add_argument('--password',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB password.')\n    parser.add_argument('--database',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB database to use.')\n    parser.add_argument('--sourcepath',\n                        required=False, action='store',\n                        default='~/.iqfeed/data',\n                        help='Path to CSV source folder.')\n    parser.add_argument('--testrun',\n                        required=False, action='store_true',\n                        help='Don\\'t write to InfluxDB')\n    parser.add_argument('--debug',\n                        required=False, action='store_true',\n                        help='Turn on debug logging level.')\n    parser.add_argument('--info',\n                        required=False, action='store_true',\n                        help='Turn on info logging level.')\n\n    args = parser.parse_args()\n\n    if len(sys.argv) < 2:\n        parser.print_help()\n        parser.exit(1)\n\n    tool = InfluxDBTool()\n\n    log = logging.getLogger()\n    log_console = logging.StreamHandler(sys.stdout)\n    log.addHandler(log_console)\n\n    if args.debug:\n        log.setLevel(logging.DEBUG)\n\n    if args.info:\n        log.setLevel(logging.INFO)\n\n    tickers = []\n    if args.ticker_list:\n        tickers = tool.get_tickers_from_file(args.ticker_list)\n    else:\n        tickers.append(args.ticker.rstrip())\n\n    for (i, ticker) in enumerate(tickers):\n        log.info(\"Processing %s (%d out of %d)\", ticker, i+1,\n                 len(tickers))\n        tool.write_dataframe_to_idb(ticker=ticker)\n"
  },
  {
    "path": "contrib/utils/iqfeed-to-influxdb.py",
    "content": "#!/usr/bin/env python3\n# -*- coding: utf-8; py-indent-offset:4 -*-\n\nimport sys\nimport os\nimport io\nimport socket\nimport logging\nimport numpy as np\nimport pandas as pd\nimport datetime as dt\nimport argparse\nfrom influxdb import DataFrameClient as dfclient\nfrom influxdb.exceptions import InfluxDBClientError\n\n\nclass IQFeedTool(object):\n    def __init__(self):\n        timeout = 10.0\n        self._dbhost = args.dbhost if args.dbhost else 'localhost'\n        self._dbport = args.dbport if args.dbport else 8086\n        self._username = args.username if args.username else None\n        self._password = args.password if args.password else None\n        self._database = args.database if args.database else 'instruments'\n        self._ticker = args.ticker\n\n        self._iqhost = args.iqhost if args.iqhost else 'localhost'\n        self._iqport = args.iqport if args.iqport else 9100\n        self._ticker = args.ticker\n        self._year = None\n        self._recv_buf = \"\"\n        self._ndf = pd.DataFrame()\n\n        # Open a streaming socket to the IQFeed daemon\n        self._sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n        self._sock.connect((self._iqhost, self._iqport))\n        self._sock.settimeout(timeout)\n\n        self.dfdb = dfclient(self._dbhost, self._dbport,\n                             self._username, self._password,\n                             self._database)\n\n        if not args.fromdate:\n            self._start = str(dt.datetime.today().year)\n        elif len(args.fromdate) == 4 or len(args.fromdate == 10):\n            self._start = args.fromdate\n        else:\n            log.error('Starting date required in YYYY-MM-DD or YYYY format.')\n            sys.exit(-1)\n\n        if not args.todate:\n            self._stop = str(dt.datetime.today().year)\n        elif len(args.fromdate) == 4 or len(args.fromdate == 10):\n            self._stop = args.todate\n        else:\n            log.error('Starting date required in YYYY-MM-DD or YYYY format.')\n            sys.exit(-1)\n\n    def _send_cmd(self, cmd: str):\n        \"\"\"Encode IQFeed API messages.\"\"\"\n        self._sock.sendall(cmd.encode(encoding='latin-1', errors='strict'))\n\n    def iq_query(self, message: str):\n        \"\"\"Send data query to IQFeed API.\"\"\"\n        end_msg = '!ENDMSG!'\n        recv_buffer = 4096\n\n        # Send the historical data request message and buffer the data\n        self._send_cmd(message)\n\n        chunk = \"\"\n        data = \"\"\n        while True:\n            chunk = self._sock.recv(recv_buffer).decode('latin-1')\n            data += chunk\n            if chunk.startswith('E,'):  # error condition\n                if chunk.startswith('E,!NO_DATA!'):\n                    log.warn('No data available for the given symbol or dates')\n                    return\n                else:\n                    raise Exception(chunk)\n            elif end_msg in chunk:\n                break\n\n        # Clean up the data.\n        data = data[:-1 * (len(end_msg) + 3)]\n        data = \"\".join(data.split(\"\\r\"))\n        data = data.replace(\",\\n\", \",\")[:-1]\n        data = data.split(\",\")\n        return data\n\n    def get_historical_minute_data(self, ticker: str):\n        \"\"\"Request historical 5 minute data from DTN.\"\"\"\n        start = self._start\n        stop = self._stop\n\n        if len(stop) > 4:\n            stop = stop[:4]\n\n        if len(start) > 4:\n            start = start[:4]\n\n        for year in range(int(start), int(stop) + 1):\n            beg_time = ('%s0101000000' % year)\n            end_time = ('%s1231235959' % year)\n            msg = \"HIT,%s,60,%s,%s,,,,1,,,s\\r\\n\" % (ticker,\n                                                    beg_time,\n                                                    end_time)\n            try:\n                data = iq.iq_query(message=msg)\n                iq.add_data_to_df(data=data)\n            except Exception as err:\n                log.error('No data returned because %s', err)\n\n        try:\n            self.dfdb.write_points(self._ndf, ticker)\n        except InfluxDBClientError as err:\n            log.error('Write to database failed: %s' % err)\n\n    def add_data_to_df(self, data: np.array):\n        \"\"\"Build Pandas Dataframe in memory\"\"\"\n\n        col_names = ['high_p', 'low_p', 'open_p', 'close_p', 'volume', 'oi']\n\n        data = np.array(data).reshape(-1, len(col_names) + 1)\n        df = pd.DataFrame(data=data[:, 1:], index=data[:, 0],\n                          columns=col_names)\n\n        df.index = pd.to_datetime(df.index)\n\n        # Sort the dataframe based on ascending dates.\n        df.sort_index(ascending=True, inplace=True)\n\n        # Convert dataframe columns to float and ints.\n        df[['high_p', 'low_p', 'open_p', 'close_p']] = df[\n            ['high_p', 'low_p', 'open_p', 'close_p']].astype(float)\n        df[['volume', 'oi']] = df[['volume', 'oi']].astype(int)\n\n        if self._ndf.empty:\n            self._ndf = df\n        else:\n            self._ndf = self._ndf.append(df)\n\n    def get_tickers_from_file(self, filename):\n        \"\"\"Load ticker list from txt file\"\"\"\n        if not os.path.exists(filename):\n            log.error(\"Ticker List file does not exist: %s\", filename)\n\n        tickers = []\n        with io.open(filename, 'r') as fd:\n            for ticker in fd:\n                tickers.append(ticker.rstrip())\n        return tickers\n\n\nif __name__ == \"__main__\":\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=\"Import IQFeed Historical Data to InfluxDB\")\n\n    exoptgroup = parser.add_mutually_exclusive_group(required=True)\n    exoptgroup.add_argument(\"--ticker\",\n                            action='store', default='SPY',\n                            help=\"Ticker to request data for.\")\n    exoptgroup.add_argument('--ticker-list',\n                            action='store', default=None,\n                            help='Path to folder to create files.')\n    parser.add_argument('--dbhost',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB hostname.')\n    parser.add_argument('--dbport',\n                        required=False, action='store',\n                        default=None, type=int,\n                        help='InfluxDB port number.')\n    parser.add_argument('--iqhost',\n                        required=False, action='store',\n                        default=None,\n                        help='IQfeed Connect hostname.')\n    parser.add_argument('--iqport',\n                        required=False, action='store',\n                        default=None, type=int,\n                        help='IQfeed Connect port number.')\n    parser.add_argument('--username',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB username.')\n    parser.add_argument('--password',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB password.')\n    parser.add_argument('--database',\n                        required=False, action='store',\n                        default=None,\n                        help='InfluxDB database to use.')\n    parser.add_argument('--fromdate',\n                        required=False, action='store', default=None,\n                        type=str,\n                        help=('Starting date for historical download '\n                              'with format: YYYY[-MM-DDTHH:MM:SS].'))\n    parser.add_argument('--todate',\n                        required=False, action='store', default=None,\n                        type=str,\n                        help=('Ending date for historical download '\n                              'with format: YYYY[-MM-DDTHH:MM:SS].'))\n    parser.add_argument('--debug',\n                        required=False, action='store_true',\n                        help='Turn on debug logging level.')\n    parser.add_argument('--info',\n                        required=False, action='store_true',\n                        help='Turn on info logging level.')\n\n    args = parser.parse_args()\n\n    iq = IQFeedTool()\n\n    log = logging.getLogger()\n    log_console = logging.StreamHandler(sys.stdout)\n    log.addHandler(log_console)\n\n    tickers = []\n    if args.ticker_list:\n        tickers = iq.get_tickers_from_file(args.ticker_list)\n    else:\n        tickers.append(args.ticker.rstrip())\n\n    for (i, ticker) in enumerate(tickers):\n        try:\n            log.info(\"Processing %s (%d out of %d)\", ticker, i+1,\n                     len(tickers))\n\n            iq.get_historical_minute_data(ticker=ticker)\n\n        except Exception as err:\n            log.error('Error returned: %s', err)\n"
  },
  {
    "path": "datas/2005-2006-day-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2005-01-03,2952.29,2989.61,2946.80,2970.02,0,0\n2005-01-04,2969.78,2979.88,2961.14,2971.12,0,0\n2005-01-05,2969.00,2969.00,2942.69,2947.19,0,0\n2005-01-06,2947.44,2967.65,2947.44,2966.24,0,0\n2005-01-07,2965.54,2988.99,2964.48,2979.82,0,0\n2005-01-10,2980.30,2986.07,2967.79,2977.21,0,0\n2005-01-11,2977.14,2981.51,2943.42,2949.29,0,0\n2005-01-12,2948.89,2952.79,2914.00,2924.01,0,0\n2005-01-13,2925.60,2943.09,2922.91,2936.32,0,0\n2005-01-14,2933.58,2951.77,2925.13,2948.22,0,0\n2005-01-17,2948.11,2963.22,2948.11,2963.06,0,0\n2005-01-18,2962.28,2965.60,2940.77,2962.50,0,0\n2005-01-19,2963.91,2976.33,2957.21,2959.90,0,0\n2005-01-20,2957.55,2957.55,2929.78,2937.71,0,0\n2005-01-21,2937.27,2944.92,2927.62,2940.87,0,0\n2005-01-24,2939.68,2940.02,2916.08,2937.83,0,0\n2005-01-25,2937.66,2960.90,2932.56,2958.61,0,0\n2005-01-26,2958.31,2967.62,2954.36,2956.43,0,0\n2005-01-27,2956.32,2970.81,2948.55,2970.81,0,0\n2005-01-28,2969.91,2977.99,2950.68,2955.89,0,0\n2005-01-31,2958.07,2987.88,2958.07,2984.75,0,0\n2005-02-01,2984.63,3008.85,2982.06,3008.85,0,0\n2005-02-02,3009.08,3022.87,3008.92,3021.95,0,0\n2005-02-03,3021.94,3023.85,3001.87,3010.39,0,0\n2005-02-04,3011.58,3038.31,3011.58,3037.13,0,0\n2005-02-07,3037.21,3055.27,3037.21,3051.97,0,0\n2005-02-08,3052.01,3058.09,3044.78,3056.65,0,0\n2005-02-09,3056.37,3064.30,3036.16,3044.36,0,0\n2005-02-10,3047.97,3056.80,3035.37,3044.00,0,0\n2005-02-11,3046.36,3080.08,3046.36,3079.85,0,0\n2005-02-14,3079.93,3083.38,3065.27,3075.76,0,0\n2005-02-15,3075.20,3091.64,3071.08,3086.95,0,0\n2005-02-16,3087.30,3087.30,3057.17,3068.55,0,0\n2005-02-17,3068.79,3082.69,3064.96,3067.34,0,0\n2005-02-18,3067.26,3080.91,3062.52,3072.04,0,0\n2005-02-21,3072.31,3079.89,3054.91,3063.64,0,0\n2005-02-22,3062.99,3062.99,3029.22,3045.24,0,0\n2005-02-23,3042.65,3042.65,3007.08,3028.08,0,0\n2005-02-24,3030.17,3032.97,3020.33,3024.80,0,0\n2005-02-25,3029.07,3062.79,3029.07,3062.72,0,0\n2005-02-28,3063.85,3081.86,3058.32,3058.35,0,0\n2005-03-01,3056.45,3082.87,3054.03,3078.44,0,0\n2005-03-02,3078.89,3082.71,3060.09,3082.71,0,0\n2005-03-03,3080.71,3091.09,3072.08,3078.11,0,0\n2005-03-04,3079.93,3106.86,3079.06,3106.86,0,0\n2005-03-07,3106.98,3117.77,3106.42,3114.54,0,0\n2005-03-08,3113.82,3113.82,3093.64,3097.34,0,0\n2005-03-09,3098.91,3115.06,3078.07,3081.99,0,0\n2005-03-10,3079.01,3079.01,3048.60,3053.62,0,0\n2005-03-11,3058.37,3073.75,3057.56,3060.36,0,0\n2005-03-14,3060.06,3065.04,3050.05,3060.72,0,0\n2005-03-15,3062.77,3086.48,3062.77,3083.73,0,0\n2005-03-16,3083.33,3083.33,3030.43,3032.13,0,0\n2005-03-17,3032.84,3045.04,3025.33,3039.80,0,0\n2005-03-18,3040.38,3062.94,3040.38,3053.54,0,0\n2005-03-21,3052.39,3059.18,3037.80,3038.14,0,0\n2005-03-22,3040.55,3053.18,3021.66,3050.44,0,0\n2005-03-23,3040.66,3040.82,3019.29,3036.85,0,0\n2005-03-24,3039.55,3063.41,3037.20,3060.67,0,0\n2005-03-29,3060.02,3069.80,3037.81,3068.49,0,0\n2005-03-30,3067.30,3067.30,3045.56,3056.21,0,0\n2005-03-31,3059.10,3080.25,3053.90,3055.73,0,0\n2005-04-01,3055.18,3077.97,3053.37,3061.11,0,0\n2005-04-04,3060.00,3060.00,3026.18,3042.17,0,0\n2005-04-05,3046.56,3065.44,3046.56,3064.07,0,0\n2005-04-06,3066.05,3076.23,3064.09,3076.23,0,0\n2005-04-07,3073.40,3092.99,3070.02,3090.72,0,0\n2005-04-08,3092.07,3100.72,3083.87,3088.92,0,0\n2005-04-11,3088.47,3088.47,3073.75,3080.60,0,0\n2005-04-12,3080.42,3081.53,3058.51,3065.18,0,0\n2005-04-13,3065.92,3086.65,3065.92,3080.54,0,0\n2005-04-14,3079.88,3086.02,3065.49,3075.33,0,0\n2005-04-15,3074.21,3074.21,3013.79,3013.89,0,0\n2005-04-18,3009.93,3009.93,2931.18,2947.79,0,0\n2005-04-19,2948.38,2966.64,2948.38,2957.37,0,0\n2005-04-20,2957.92,2974.58,2936.57,2944.33,0,0\n2005-04-21,2942.95,2967.15,2933.68,2950.34,0,0\n2005-04-22,2950.35,2981.00,2950.35,2976.39,0,0\n2005-04-25,2975.37,2990.29,2966.17,2987.05,0,0\n2005-04-26,2987.27,2990.88,2968.67,2983.22,0,0\n2005-04-27,2981.82,2981.82,2930.96,2942.62,0,0\n2005-04-28,2943.29,2955.25,2913.19,2930.87,0,0\n2005-04-29,2929.21,2944.36,2911.48,2930.10,0,0\n2005-05-02,2931.97,2957.46,2931.97,2949.09,0,0\n2005-05-03,2949.35,2962.59,2944.60,2962.59,0,0\n2005-05-04,2962.47,2981.04,2955.26,2981.04,0,0\n2005-05-05,2981.64,3008.38,2981.64,3004.52,0,0\n2005-05-06,3004.26,3022.54,2994.31,3019.26,0,0\n2005-05-09,3018.05,3018.32,2999.17,3007.10,0,0\n2005-05-10,3007.31,3017.59,2978.91,2983.42,0,0\n2005-05-11,2983.09,2990.10,2965.88,2970.50,0,0\n2005-05-12,2983.04,2998.31,2983.04,2993.09,0,0\n2005-05-13,2991.71,2994.52,2971.44,2994.52,0,0\n2005-05-16,2994.27,2994.27,2980.55,2988.16,0,0\n2005-05-17,2990.13,2996.95,2976.73,2983.84,0,0\n2005-05-18,2984.63,3036.30,2984.63,3036.30,0,0\n2005-05-19,3034.88,3055.14,3034.88,3051.79,0,0\n2005-05-20,3051.87,3060.30,3046.21,3050.45,0,0\n2005-05-23,3051.53,3074.13,3051.53,3070.98,0,0\n2005-05-24,3071.55,3071.55,3053.88,3066.55,0,0\n2005-05-25,3066.57,3072.06,3054.84,3059.84,0,0\n2005-05-26,3060.04,3089.54,3060.04,3086.08,0,0\n2005-05-27,3086.69,3091.66,3072.90,3084.00,0,0\n2005-05-30,3084.08,3096.54,3070.48,3096.54,0,0\n2005-05-31,3096.46,3096.84,3076.53,3076.75,0,0\n2005-06-01,3077.86,3125.88,3077.86,3125.88,0,0\n2005-06-02,3125.64,3139.91,3119.40,3131.03,0,0\n2005-06-03,3131.38,3138.10,3108.25,3114.27,0,0\n2005-06-06,3114.04,3119.46,3094.43,3099.20,0,0\n2005-06-07,3099.99,3138.29,3099.99,3134.82,0,0\n2005-06-08,3131.08,3132.62,3115.73,3125.59,0,0\n2005-06-09,3124.24,3126.66,3109.20,3122.93,0,0\n2005-06-10,3126.26,3153.09,3126.26,3143.85,0,0\n2005-06-13,3145.04,3160.86,3137.88,3159.83,0,0\n2005-06-14,3159.09,3163.82,3148.63,3162.86,0,0\n2005-06-15,3163.11,3172.87,3142.02,3147.55,0,0\n2005-06-16,3147.88,3167.68,3147.88,3160.09,0,0\n2005-06-17,3160.55,3193.34,3160.55,3178.48,0,0\n2005-06-20,3178.01,3178.36,3150.02,3162.14,0,0\n2005-06-21,3163.04,3183.06,3163.04,3179.62,0,0\n2005-06-22,3179.61,3195.43,3174.30,3182.08,0,0\n2005-06-23,3182.06,3192.93,3173.32,3190.80,0,0\n2005-06-24,3187.67,3187.67,3156.99,3161.00,0,0\n2005-06-27,3160.65,3160.65,3123.03,3132.50,0,0\n2005-06-28,3136.42,3162.00,3136.42,3162.00,0,0\n2005-06-29,3162.15,3190.63,3162.15,3178.56,0,0\n2005-06-30,3178.58,3198.89,3173.89,3181.54,0,0\n2005-07-01,3179.38,3208.94,3174.45,3208.54,0,0\n2005-07-04,3209.14,3218.07,3202.72,3215.60,0,0\n2005-07-05,3215.20,3216.34,3190.15,3207.91,0,0\n2005-07-06,3208.43,3233.58,3208.43,3224.11,0,0\n2005-07-07,3221.83,3221.83,3079.89,3170.06,0,0\n2005-07-08,3172.00,3224.59,3172.00,3224.52,0,0\n2005-07-11,3225.33,3251.39,3225.33,3246.40,0,0\n2005-07-12,3246.20,3247.94,3223.75,3236.33,0,0\n2005-07-13,3236.34,3261.50,3236.34,3260.67,0,0\n2005-07-14,3261.39,3292.08,3261.39,3277.20,0,0\n2005-07-15,3277.24,3286.64,3266.04,3278.58,0,0\n2005-07-18,3279.16,3292.26,3268.82,3276.49,0,0\n2005-07-19,3276.58,3314.06,3276.58,3314.06,0,0\n2005-07-20,3312.96,3317.02,3292.31,3303.77,0,0\n2005-07-21,3305.00,3329.67,3280.51,3299.92,0,0\n2005-07-22,3299.57,3304.76,3281.45,3292.92,0,0\n2005-07-25,3294.85,3304.01,3284.85,3298.27,0,0\n2005-07-26,3298.41,3314.00,3288.84,3302.98,0,0\n2005-07-27,3303.18,3320.01,3303.18,3310.84,0,0\n2005-07-28,3311.09,3339.27,3311.09,3333.05,0,0\n2005-07-29,3332.91,3346.56,3314.45,3326.51,0,0\n2005-08-01,3326.17,3339.22,3312.88,3320.46,0,0\n2005-08-02,3320.44,3349.91,3318.74,3349.91,0,0\n2005-08-03,3349.39,3351.28,3329.44,3343.63,0,0\n2005-08-04,3343.57,3343.57,3305.42,3310.62,0,0\n2005-08-05,3309.74,3310.83,3280.49,3280.49,0,0\n2005-08-08,3281.13,3307.45,3281.13,3292.41,0,0\n2005-08-09,3292.08,3331.29,3289.21,3331.29,0,0\n2005-08-10,3331.35,3370.84,3331.35,3370.84,0,0\n2005-08-11,3367.38,3367.38,3338.53,3354.16,0,0\n2005-08-12,3354.49,3356.66,3328.09,3334.15,0,0\n2005-08-15,3334.34,3340.27,3323.06,3326.38,0,0\n2005-08-16,3328.96,3343.35,3302.18,3307.42,0,0\n2005-08-17,3307.15,3307.15,3278.01,3298.20,0,0\n2005-08-18,3298.45,3300.83,3270.10,3283.84,0,0\n2005-08-19,3284.35,3328.17,3284.35,3328.17,0,0\n2005-08-22,3328.84,3340.12,3325.27,3330.44,0,0\n2005-08-23,3324.01,3324.01,3299.28,3299.28,0,0\n2005-08-24,3295.98,3297.57,3272.23,3294.25,0,0\n2005-08-25,3293.69,3293.69,3253.53,3258.52,0,0\n2005-08-26,3258.45,3270.27,3224.10,3224.10,0,0\n2005-08-29,3222.52,3241.49,3196.65,3239.96,0,0\n2005-08-30,3240.80,3255.43,3232.93,3234.10,0,0\n2005-08-31,3237.61,3265.23,3235.34,3263.78,0,0\n2005-09-01,3265.10,3293.10,3265.10,3282.29,0,0\n2005-09-02,3281.13,3291.77,3264.20,3274.42,0,0\n2005-09-05,3275.08,3303.05,3275.08,3303.05,0,0\n2005-09-06,3303.42,3341.80,3303.42,3341.80,0,0\n2005-09-07,3342.17,3359.95,3339.49,3349.46,0,0\n2005-09-08,3349.72,3351.67,3332.58,3346.63,0,0\n2005-09-09,3346.90,3365.98,3343.10,3359.65,0,0\n2005-09-12,3361.10,3377.46,3349.70,3354.64,0,0\n2005-09-13,3353.61,3358.04,3325.26,3325.55,0,0\n2005-09-14,3325.71,3345.29,3325.71,3338.99,0,0\n2005-09-15,3339.05,3352.08,3329.54,3339.02,0,0\n2005-09-16,3339.38,3378.23,3338.38,3366.57,0,0\n2005-09-19,3366.39,3368.48,3335.48,3356.28,0,0\n2005-09-20,3356.55,3379.42,3356.55,3375.64,0,0\n2005-09-21,3375.30,3375.30,3325.49,3326.78,0,0\n2005-09-22,3325.87,3325.87,3292.44,3312.26,0,0\n2005-09-23,3313.96,3332.32,3313.96,3331.55,0,0\n2005-09-26,3335.00,3401.02,3335.00,3400.93,0,0\n2005-09-27,3399.01,3399.06,3377.90,3384.24,0,0\n2005-09-28,3385.25,3431.14,3385.25,3429.42,0,0\n2005-09-29,3429.60,3435.20,3407.03,3412.75,0,0\n2005-09-30,3414.77,3438.76,3414.77,3428.51,0,0\n2005-10-03,3429.45,3451.34,3429.45,3449.34,0,0\n2005-10-04,3449.03,3464.24,3432.47,3464.24,0,0\n2005-10-05,3461.18,3461.18,3418.84,3418.84,0,0\n2005-10-06,3416.82,3416.82,3363.12,3384.15,0,0\n2005-10-07,3383.36,3391.60,3362.63,3374.10,0,0\n2005-10-10,3374.92,3400.78,3373.58,3381.17,0,0\n2005-10-11,3380.80,3405.63,3380.80,3387.46,0,0\n2005-10-12,3384.89,3384.89,3350.07,3359.85,0,0\n2005-10-13,3360.15,3361.28,3318.37,3331.42,0,0\n2005-10-14,3334.89,3359.52,3316.15,3349.58,0,0\n2005-10-17,3349.70,3368.42,3349.70,3356.61,0,0\n2005-10-18,3356.73,3363.54,3330.14,3334.79,0,0\n2005-10-19,3330.00,3330.00,3272.21,3279.61,0,0\n2005-10-20,3285.27,3329.92,3276.61,3284.78,0,0\n2005-10-21,3283.42,3288.77,3264.92,3271.05,0,0\n2005-10-24,3271.03,3310.13,3267.51,3310.13,0,0\n2005-10-25,3310.84,3324.13,3292.52,3292.52,0,0\n2005-10-26,3291.80,3316.32,3285.75,3304.32,0,0\n2005-10-27,3302.12,3302.12,3237.53,3241.14,0,0\n2005-10-28,3240.31,3259.63,3212.07,3245.21,0,0\n2005-10-31,3250.10,3320.15,3250.10,3319.74,0,0\n2005-11-01,3320.21,3326.84,3305.42,3312.45,0,0\n2005-11-02,3312.48,3328.88,3288.07,3320.62,0,0\n2005-11-03,3322.52,3363.60,3322.52,3361.64,0,0\n2005-11-04,3361.01,3364.71,3343.86,3355.28,0,0\n2005-11-07,3355.00,3372.34,3340.34,3362.83,0,0\n2005-11-08,3364.26,3380.86,3350.95,3361.75,0,0\n2005-11-09,3361.92,3368.86,3351.22,3355.77,0,0\n2005-11-10,3358.25,3381.06,3353.08,3361.05,0,0\n2005-11-11,3361.43,3407.64,3361.43,3406.23,0,0\n2005-11-14,3405.94,3426.51,3396.70,3412.34,0,0\n2005-11-15,3412.24,3419.91,3397.45,3413.96,0,0\n2005-11-16,3413.33,3413.33,3380.83,3391.59,0,0\n2005-11-17,3393.12,3419.64,3393.12,3404.12,0,0\n2005-11-18,3407.88,3447.66,3407.88,3427.18,0,0\n2005-11-21,3428.25,3456.53,3426.95,3450.01,0,0\n2005-11-22,3451.97,3457.13,3443.82,3450.51,0,0\n2005-11-23,3453.13,3471.43,3453.13,3471.43,0,0\n2005-11-24,3471.43,3474.27,3448.00,3459.15,0,0\n2005-11-25,3459.85,3468.63,3457.00,3466.08,0,0\n2005-11-28,3467.64,3493.40,3452.46,3453.11,0,0\n2005-11-29,3452.18,3476.79,3438.91,3463.67,0,0\n2005-11-30,3462.55,3462.55,3439.68,3447.07,0,0\n2005-12-01,3448.23,3501.54,3448.23,3501.43,0,0\n2005-12-02,3502.94,3521.05,3502.94,3519.63,0,0\n2005-12-05,3519.90,3521.32,3490.27,3499.40,0,0\n2005-12-06,3499.61,3523.94,3497.43,3516.84,0,0\n2005-12-07,3517.33,3530.71,3495.71,3505.34,0,0\n2005-12-08,3501.54,3510.38,3477.77,3510.38,0,0\n2005-12-09,3509.92,3509.92,3488.89,3500.80,0,0\n2005-12-12,3501.33,3532.38,3501.33,3514.07,0,0\n2005-12-13,3514.30,3532.51,3507.55,3528.34,0,0\n2005-12-14,3529.45,3537.46,3510.71,3519.12,0,0\n2005-12-15,3520.51,3526.74,3510.40,3522.30,0,0\n2005-12-16,3522.42,3566.64,3522.42,3556.76,0,0\n2005-12-19,3554.74,3560.98,3546.38,3551.10,0,0\n2005-12-20,3550.80,3565.25,3537.46,3561.11,0,0\n2005-12-21,3562.25,3593.58,3562.25,3591.99,0,0\n2005-12-22,3591.61,3600.10,3586.32,3591.02,0,0\n2005-12-23,3593.16,3607.94,3593.16,3599.47,0,0\n2005-12-27,3599.47,3619.61,3599.47,3612.21,0,0\n2005-12-28,3611.49,3615.39,3601.65,3605.12,0,0\n2005-12-29,3606.84,3621.89,3606.84,3616.33,0,0\n2005-12-30,3616.09,3616.09,3572.16,3578.93,0,0\n2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0\n2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0\n2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0\n2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0\n2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0\n2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0\n2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0\n2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0\n2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0\n2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0\n2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0\n2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0\n2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0\n2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0\n2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0\n2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0\n2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0\n2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0\n2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0\n2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0\n2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0\n2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0\n2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0\n2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0\n2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0\n2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0\n2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0\n2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0\n2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0\n2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0\n2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0\n2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0\n2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0\n2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0\n2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0\n2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0\n2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0\n2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0\n2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0\n2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0\n2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0\n2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0\n2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0\n2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0\n2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0\n2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0\n2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0\n2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0\n2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0\n2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0\n2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0\n2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0\n2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0\n2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0\n2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0\n2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0\n2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0\n2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0\n2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0\n2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0\n2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0\n2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0\n2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0\n2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0\n2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0\n2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0\n2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0\n2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0\n2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0\n2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0\n2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0\n2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0\n2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0\n2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0\n2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0\n2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0\n2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0\n2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0\n2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0\n2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0\n2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0\n2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0\n2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0\n2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0\n2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0\n2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0\n2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0\n2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0\n2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0\n2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0\n2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0\n2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0\n2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0\n2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0\n2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0\n2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0\n2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0\n2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0\n2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0\n2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0\n2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0\n2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0\n2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0\n2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0\n2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0\n2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0\n2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0\n2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0\n2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0\n2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0\n2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0\n2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0\n2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0\n2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0\n2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0\n2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0\n2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0\n2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0\n2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0\n2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0\n2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0\n2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0\n2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0\n2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0\n2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0\n2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0\n2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0\n2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0\n2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0\n2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0\n2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0\n2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0\n2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0\n2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0\n2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0\n2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0\n2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0\n2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0\n2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0\n2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0\n2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0\n2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0\n2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0\n2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0\n2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0\n2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0\n2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0\n2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0\n2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0\n2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0\n2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0\n2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0\n2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0\n2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0\n2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0\n2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0\n2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0\n2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0\n2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0\n2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0\n2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0\n2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0\n2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0\n2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0\n2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0\n2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0\n2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0\n2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0\n2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0\n2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0\n2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0\n2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0\n2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0\n2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0\n2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0\n2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0\n2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0\n2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0\n2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0\n2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0\n2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0\n2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0\n2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0\n2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0\n2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0\n2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0\n2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0\n2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0\n2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0\n2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0\n2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0\n2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0\n2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0\n2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0\n2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0\n2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0\n2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0\n2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0\n2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0\n2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0\n2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0\n2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0\n2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0\n2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0\n2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0\n2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0\n2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0\n2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0\n2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0\n2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0\n2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0\n2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0\n2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0\n2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0\n2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0\n2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0\n2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0\n2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0\n2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0\n2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0\n2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0\n2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0\n2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0\n2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0\n2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0\n2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0\n2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0\n2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0\n2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0\n2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0\n2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0\n2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0\n2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0\n2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0\n2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0\n2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0\n2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0\n2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0\n2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0\n2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0\n2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0\n2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0\n2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0\n2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0\n2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0\n2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0\n2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0\n2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0\n2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0\n2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0\n2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0\n2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0\n2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0\n2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0\n2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0\n"
  },
  {
    "path": "datas/2006-01-02-volume-min-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\r\n2006-01-02,09:01:00,3602.00,3603.00,3597.00,3599.00,5699,0\r\n2006-01-02,09:02:00,3600.00,3601.00,3598.00,3599.00,894,0\r\n2006-01-02,09:03:00,3599.00,3602.00,3598.00,3600.00,883,0\r\n2006-01-02,09:04:00,3599.00,3599.00,3597.00,3597.00,726,0\r\n2006-01-02,09:05:00,3597.00,3598.00,3596.00,3598.00,1085,0\r\n2006-01-02,09:06:00,3598.00,3599.00,3597.00,3598.00,963,0\r\n2006-01-02,09:07:00,3597.00,3599.00,3597.00,3598.00,1082,0\r\n2006-01-02,09:08:00,3599.00,3599.00,3597.00,3599.00,350,0\r\n2006-01-02,09:09:00,3599.00,3600.00,3599.00,3600.00,977,0\r\n2006-01-02,09:10:00,3600.00,3601.00,3600.00,3601.00,476,0\r\n2006-01-02,09:11:00,3600.00,3602.00,3600.00,3602.00,430,0\r\n2006-01-02,09:12:00,3602.00,3604.00,3602.00,3602.00,901,0\r\n2006-01-02,09:13:00,3602.00,3603.00,3602.00,3603.00,377,0\r\n2006-01-02,09:14:00,3603.00,3604.00,3603.00,3603.00,408,0\r\n2006-01-02,09:15:00,3604.00,3605.00,3604.00,3604.00,781,0\r\n2006-01-02,09:16:00,3604.00,3604.00,3602.00,3602.00,1307,0\r\n2006-01-02,09:17:00,3603.00,3604.00,3602.00,3603.00,889,0\r\n2006-01-02,09:18:00,3603.00,3604.00,3602.00,3602.00,290,0\r\n2006-01-02,09:19:00,3603.00,3604.00,3603.00,3604.00,224,0\r\n2006-01-02,09:20:00,3603.00,3604.00,3603.00,3604.00,224,0\r\n2006-01-02,09:21:00,3603.00,3605.00,3603.00,3604.00,329,0\r\n2006-01-02,09:22:00,3604.00,3605.00,3604.00,3605.00,232,0\r\n2006-01-02,09:23:00,3604.00,3605.00,3604.00,3604.00,775,0\r\n2006-01-02,09:24:00,3605.00,3605.00,3604.00,3604.00,153,0\r\n2006-01-02,09:25:00,3605.00,3605.00,3603.00,3604.00,415,0\r\n2006-01-02,09:26:00,3604.00,3605.00,3603.00,3603.00,284,0\r\n2006-01-02,09:27:00,3603.00,3604.00,3603.00,3603.00,154,0\r\n2006-01-02,09:28:00,3603.00,3604.00,3603.00,3604.00,315,0\r\n2006-01-02,09:29:00,3603.00,3604.00,3603.00,3604.00,31,0\r\n2006-01-02,09:30:00,3604.00,3605.00,3603.00,3604.00,546,0\r\n2006-01-02,09:31:00,3604.00,3606.00,3604.00,3606.00,438,0\r\n2006-01-02,09:32:00,3605.00,3606.00,3605.00,3606.00,1266,0\r\n2006-01-02,09:33:00,3606.00,3608.00,3606.00,3607.00,1415,0\r\n2006-01-02,09:34:00,3607.00,3608.00,3607.00,3608.00,288,0\r\n2006-01-02,09:35:00,3608.00,3612.00,3608.00,3612.00,2239,0\r\n2006-01-02,09:36:00,3611.00,3614.00,3611.00,3614.00,2137,0\r\n2006-01-02,09:37:00,3614.00,3616.00,3614.00,3616.00,1716,0\r\n2006-01-02,09:38:00,3616.00,3617.00,3615.00,3616.00,1618,0\r\n2006-01-02,09:39:00,3615.00,3616.00,3615.00,3615.00,715,0\r\n2006-01-02,09:40:00,3616.00,3617.00,3616.00,3617.00,849,0\r\n2006-01-02,09:41:00,3617.00,3618.00,3616.00,3618.00,977,0\r\n2006-01-02,09:42:00,3618.00,3619.00,3617.00,3618.00,1135,0\r\n2006-01-02,09:43:00,3618.00,3619.00,3618.00,3618.00,358,0\r\n2006-01-02,09:44:00,3618.00,3619.00,3618.00,3618.00,328,0\r\n2006-01-02,09:45:00,3618.00,3619.00,3617.00,3617.00,953,0\r\n2006-01-02,09:46:00,3617.00,3618.00,3617.00,3617.00,1233,0\r\n2006-01-02,09:47:00,3617.00,3617.00,3616.00,3617.00,282,0\r\n2006-01-02,09:48:00,3617.00,3617.00,3616.00,3617.00,139,0\r\n2006-01-02,09:49:00,3616.00,3616.00,3615.00,3616.00,288,0\r\n2006-01-02,09:50:00,3616.00,3616.00,3615.00,3615.00,775,0\r\n2006-01-02,09:51:00,3615.00,3616.00,3615.00,3615.00,242,0\r\n2006-01-02,09:52:00,3615.00,3616.00,3615.00,3615.00,279,0\r\n2006-01-02,09:53:00,3615.00,3615.00,3614.00,3614.00,459,0\r\n2006-01-02,09:54:00,3615.00,3615.00,3614.00,3615.00,77,0\r\n2006-01-02,09:55:00,3614.00,3615.00,3613.00,3614.00,758,0\r\n2006-01-02,09:56:00,3613.00,3614.00,3613.00,3613.00,773,0\r\n2006-01-02,09:57:00,3613.00,3613.00,3613.00,3613.00,351,0\r\n2006-01-02,09:58:00,3612.00,3613.00,3612.00,3613.00,293,0\r\n2006-01-02,09:59:00,3612.00,3612.00,3611.00,3612.00,907,0\r\n2006-01-02,10:00:00,3612.00,3614.00,3612.00,3613.00,852,0\r\n2006-01-02,10:01:00,3613.00,3615.00,3613.00,3614.00,554,0\r\n2006-01-02,10:02:00,3614.00,3615.00,3614.00,3615.00,93,0\r\n2006-01-02,10:03:00,3615.00,3615.00,3614.00,3615.00,542,0\r\n2006-01-02,10:04:00,3615.00,3616.00,3615.00,3615.00,328,0\r\n2006-01-02,10:05:00,3616.00,3616.00,3615.00,3615.00,142,0\r\n2006-01-02,10:06:00,3615.00,3616.00,3615.00,3616.00,793,0\r\n2006-01-02,10:07:00,3616.00,3616.00,3615.00,3616.00,326,0\r\n2006-01-02,10:08:00,3616.00,3616.00,3614.00,3615.00,840,0\r\n2006-01-02,10:09:00,3614.00,3615.00,3613.00,3614.00,868,0\r\n2006-01-02,10:10:00,3614.00,3614.00,3613.00,3613.00,244,0\r\n2006-01-02,10:11:00,3613.00,3614.00,3612.00,3613.00,107,0\r\n2006-01-02,10:12:00,3612.00,3612.00,3612.00,3612.00,22,0\r\n2006-01-02,10:13:00,3612.00,3613.00,3612.00,3613.00,39,0\r\n2006-01-02,10:14:00,3612.00,3612.00,3612.00,3612.00,176,0\r\n2006-01-02,10:15:00,3612.00,3612.00,3611.00,3612.00,399,0\r\n2006-01-02,10:16:00,3612.00,3612.00,3612.00,3612.00,55,0\r\n2006-01-02,10:17:00,3613.00,3613.00,3612.00,3613.00,26,0\r\n2006-01-02,10:18:00,3612.00,3612.00,3612.00,3612.00,2,0\r\n2006-01-02,10:19:00,3613.00,3614.00,3613.00,3614.00,1320,0\r\n2006-01-02,10:20:00,3613.00,3614.00,3613.00,3613.00,371,0\r\n2006-01-02,10:21:00,3613.00,3613.00,3613.00,3613.00,66,0\r\n2006-01-02,10:22:00,3613.00,3614.00,3613.00,3614.00,580,0\r\n2006-01-02,10:23:00,3615.00,3615.00,3615.00,3615.00,4,0\r\n2006-01-02,10:24:00,3614.00,3615.00,3614.00,3615.00,14,0\r\n2006-01-02,10:25:00,3614.00,3615.00,3613.00,3613.00,856,0\r\n2006-01-02,10:26:00,3614.00,3614.00,3614.00,3614.00,47,0\r\n2006-01-02,10:27:00,3614.00,3614.00,3613.00,3614.00,28,0\r\n2006-01-02,10:28:00,3614.00,3614.00,3614.00,3614.00,25,0\r\n2006-01-02,10:29:00,3613.00,3614.00,3613.00,3614.00,214,0\r\n2006-01-02,10:30:00,3613.00,3614.00,3613.00,3614.00,112,0\r\n2006-01-02,10:31:00,3614.00,3614.00,3614.00,3614.00,183,0\r\n2006-01-02,10:34:00,3614.00,3614.00,3614.00,3614.00,841,0\r\n2006-01-02,10:35:00,3614.00,3614.00,3614.00,3614.00,17,0\r\n2006-01-02,10:36:00,3615.00,3615.00,3615.00,3615.00,2,0\r\n2006-01-02,10:37:00,3615.00,3615.00,3615.00,3615.00,2,0\r\n2006-01-02,10:38:00,3615.00,3615.00,3614.00,3614.00,31,0\r\n2006-01-02,10:39:00,3615.00,3615.00,3614.00,3614.00,10,0\r\n2006-01-02,10:40:00,3614.00,3615.00,3614.00,3615.00,4,0\r\n2006-01-02,10:41:00,3615.00,3615.00,3614.00,3614.00,1802,0\r\n2006-01-02,10:42:00,3615.00,3615.00,3614.00,3614.00,15,0\r\n2006-01-02,10:43:00,3614.00,3615.00,3614.00,3615.00,72,0\r\n2006-01-02,10:44:00,3615.00,3615.00,3615.00,3615.00,76,0\r\n2006-01-02,10:45:00,3614.00,3615.00,3614.00,3615.00,292,0\r\n2006-01-02,10:46:00,3615.00,3615.00,3615.00,3615.00,1,0\r\n2006-01-02,10:47:00,3615.00,3615.00,3614.00,3615.00,315,0\r\n2006-01-02,10:48:00,3614.00,3615.00,3614.00,3614.00,633,0\r\n2006-01-02,10:49:00,3614.00,3614.00,3614.00,3614.00,110,0\r\n2006-01-02,10:50:00,3614.00,3615.00,3614.00,3614.00,219,0\r\n2006-01-02,10:51:00,3614.00,3615.00,3614.00,3614.00,35,0\r\n2006-01-02,10:52:00,3615.00,3615.00,3614.00,3614.00,202,0\r\n2006-01-02,10:53:00,3614.00,3614.00,3614.00,3614.00,80,0\r\n2006-01-02,10:54:00,3613.00,3614.00,3613.00,3614.00,126,0\r\n2006-01-02,10:55:00,3614.00,3614.00,3613.00,3613.00,476,0\r\n2006-01-02,10:56:00,3614.00,3614.00,3613.00,3613.00,33,0\r\n2006-01-02,10:57:00,3613.00,3614.00,3613.00,3614.00,57,0\r\n2006-01-02,10:58:00,3614.00,3614.00,3613.00,3614.00,51,0\r\n2006-01-02,10:59:00,3614.00,3614.00,3613.00,3613.00,737,0\r\n2006-01-02,11:00:00,3613.00,3613.00,3613.00,3613.00,26,0\r\n2006-01-02,11:01:00,3613.00,3613.00,3613.00,3613.00,314,0\r\n2006-01-02,11:02:00,3612.00,3614.00,3612.00,3614.00,197,0\r\n2006-01-02,11:03:00,3613.00,3613.00,3612.00,3613.00,363,0\r\n2006-01-02,11:04:00,3613.00,3613.00,3612.00,3613.00,34,0\r\n2006-01-02,11:05:00,3613.00,3613.00,3613.00,3613.00,60,0\r\n2006-01-02,11:07:00,3613.00,3613.00,3613.00,3613.00,587,0\r\n2006-01-02,11:08:00,3613.00,3613.00,3612.00,3612.00,15,0\r\n2006-01-02,11:10:00,3612.00,3613.00,3612.00,3612.00,64,0\r\n2006-01-02,11:11:00,3613.00,3613.00,3613.00,3613.00,81,0\r\n2006-01-02,11:12:00,3612.00,3612.00,3612.00,3612.00,19,0\r\n2006-01-02,11:13:00,3612.00,3612.00,3612.00,3612.00,25,0\r\n2006-01-02,11:14:00,3612.00,3612.00,3611.00,3612.00,419,0\r\n2006-01-02,11:15:00,3612.00,3612.00,3611.00,3611.00,604,0\r\n2006-01-02,11:16:00,3611.00,3611.00,3610.00,3610.00,1069,0\r\n2006-01-02,11:17:00,3611.00,3611.00,3608.00,3608.00,1991,0\r\n2006-01-02,11:18:00,3608.00,3608.00,3606.00,3606.00,1091,0\r\n2006-01-02,11:19:00,3606.00,3606.00,3605.00,3605.00,213,0\r\n2006-01-02,11:20:00,3605.00,3606.00,3604.00,3604.00,274,0\r\n2006-01-02,11:21:00,3604.00,3604.00,3604.00,3604.00,66,0\r\n2006-01-02,11:22:00,3604.00,3606.00,3604.00,3605.00,330,0\r\n2006-01-02,11:23:00,3606.00,3606.00,3605.00,3605.00,628,0\r\n2006-01-02,11:24:00,3606.00,3607.00,3605.00,3607.00,353,0\r\n2006-01-02,11:25:00,3606.00,3606.00,3605.00,3606.00,991,0\r\n2006-01-02,11:26:00,3606.00,3608.00,3606.00,3606.00,349,0\r\n2006-01-02,11:27:00,3607.00,3608.00,3607.00,3607.00,100,0\r\n2006-01-02,11:28:00,3607.00,3607.00,3606.00,3606.00,447,0\r\n2006-01-02,11:29:00,3607.00,3608.00,3607.00,3607.00,77,0\r\n2006-01-02,11:30:00,3607.00,3608.00,3607.00,3608.00,389,0\r\n2006-01-02,11:31:00,3608.00,3609.00,3608.00,3608.00,529,0\r\n2006-01-02,11:32:00,3608.00,3609.00,3608.00,3609.00,678,0\r\n2006-01-02,11:33:00,3609.00,3610.00,3608.00,3608.00,561,0\r\n2006-01-02,11:34:00,3609.00,3609.00,3608.00,3608.00,134,0\r\n2006-01-02,11:35:00,3609.00,3609.00,3608.00,3608.00,371,0\r\n2006-01-02,11:36:00,3609.00,3609.00,3608.00,3609.00,190,0\r\n2006-01-02,11:37:00,3609.00,3610.00,3609.00,3610.00,375,0\r\n2006-01-02,11:38:00,3609.00,3610.00,3609.00,3609.00,112,0\r\n2006-01-02,11:39:00,3608.00,3609.00,3608.00,3609.00,112,0\r\n2006-01-02,11:40:00,3609.00,3609.00,3608.00,3608.00,52,0\r\n2006-01-02,11:41:00,3609.00,3609.00,3609.00,3609.00,16,0\r\n2006-01-02,11:42:00,3608.00,3609.00,3608.00,3609.00,85,0\r\n2006-01-02,11:43:00,3609.00,3610.00,3609.00,3609.00,67,0\r\n2006-01-02,11:44:00,3610.00,3610.00,3610.00,3610.00,60,0\r\n2006-01-02,11:45:00,3609.00,3609.00,3609.00,3609.00,216,0\r\n2006-01-02,11:46:00,3609.00,3610.00,3609.00,3610.00,169,0\r\n2006-01-02,11:47:00,3609.00,3610.00,3609.00,3610.00,305,0\r\n2006-01-02,11:48:00,3610.00,3611.00,3610.00,3611.00,145,0\r\n2006-01-02,11:49:00,3611.00,3611.00,3610.00,3610.00,39,0\r\n2006-01-02,11:50:00,3611.00,3612.00,3610.00,3612.00,290,0\r\n2006-01-02,11:51:00,3611.00,3612.00,3611.00,3612.00,37,0\r\n2006-01-02,11:52:00,3611.00,3612.00,3611.00,3611.00,1955,0\r\n2006-01-02,11:53:00,3612.00,3612.00,3612.00,3612.00,1273,0\r\n2006-01-02,11:54:00,3612.00,3613.00,3612.00,3613.00,423,0\r\n2006-01-02,11:55:00,3613.00,3613.00,3612.00,3612.00,29,0\r\n2006-01-02,11:56:00,3613.00,3613.00,3612.00,3613.00,37,0\r\n2006-01-02,11:57:00,3613.00,3613.00,3612.00,3613.00,35,0\r\n2006-01-02,11:58:00,3613.00,3613.00,3612.00,3613.00,127,0\r\n2006-01-02,11:59:00,3612.00,3612.00,3611.00,3612.00,196,0\r\n2006-01-02,12:00:00,3612.00,3612.00,3611.00,3611.00,5,0\r\n2006-01-02,12:01:00,3611.00,3612.00,3611.00,3612.00,399,0\r\n2006-01-02,12:02:00,3612.00,3613.00,3612.00,3613.00,221,0\r\n2006-01-02,12:03:00,3613.00,3613.00,3613.00,3613.00,3,0\r\n2006-01-02,12:04:00,3613.00,3613.00,3612.00,3613.00,17,0\r\n2006-01-02,12:05:00,3613.00,3613.00,3612.00,3612.00,6,0\r\n2006-01-02,12:06:00,3613.00,3613.00,3612.00,3613.00,603,0\r\n2006-01-02,12:07:00,3613.00,3613.00,3612.00,3612.00,7,0\r\n2006-01-02,12:08:00,3612.00,3612.00,3612.00,3612.00,15,0\r\n2006-01-02,12:09:00,3613.00,3613.00,3612.00,3612.00,1,0\r\n2006-01-02,12:10:00,3612.00,3612.00,3612.00,3612.00,7,0\r\n2006-01-02,12:11:00,3612.00,3613.00,3612.00,3612.00,54,0\r\n2006-01-02,12:12:00,3612.00,3613.00,3612.00,3612.00,238,0\r\n2006-01-02,12:13:00,3612.00,3613.00,3612.00,3612.00,28,0\r\n2006-01-02,12:14:00,3613.00,3613.00,3612.00,3612.00,68,0\r\n2006-01-02,12:15:00,3613.00,3613.00,3612.00,3613.00,194,0\r\n2006-01-02,12:16:00,3614.00,3614.00,3613.00,3613.00,895,0\r\n2006-01-02,12:17:00,3614.00,3614.00,3613.00,3614.00,130,0\r\n2006-01-02,12:18:00,3614.00,3614.00,3614.00,3614.00,20,0\r\n2006-01-02,12:19:00,3614.00,3614.00,3613.00,3614.00,516,0\r\n2006-01-02,12:20:00,3613.00,3614.00,3613.00,3614.00,287,0\r\n2006-01-02,12:21:00,3614.00,3614.00,3614.00,3614.00,159,0\r\n2006-01-02,12:22:00,3614.00,3615.00,3614.00,3614.00,237,0\r\n2006-01-02,12:23:00,3614.00,3614.00,3614.00,3614.00,47,0\r\n2006-01-02,12:24:00,3614.00,3615.00,3613.00,3613.00,134,0\r\n2006-01-02,12:25:00,3613.00,3614.00,3613.00,3613.00,121,0\r\n2006-01-02,12:26:00,3614.00,3614.00,3613.00,3613.00,14,0\r\n2006-01-02,12:27:00,3613.00,3614.00,3613.00,3614.00,36,0\r\n2006-01-02,12:29:00,3614.00,3614.00,3613.00,3614.00,14,0\r\n2006-01-02,12:31:00,3614.00,3614.00,3613.00,3614.00,8,0\r\n2006-01-02,12:32:00,3614.00,3614.00,3613.00,3613.00,88,0\r\n2006-01-02,12:33:00,3614.00,3614.00,3613.00,3613.00,2,0\r\n2006-01-02,12:34:00,3613.00,3613.00,3612.00,3613.00,163,0\r\n2006-01-02,12:35:00,3613.00,3613.00,3613.00,3613.00,5,0\r\n2006-01-02,12:37:00,3612.00,3612.00,3612.00,3612.00,1,0\r\n2006-01-02,12:39:00,3612.00,3612.00,3612.00,3612.00,5,0\r\n2006-01-02,12:40:00,3613.00,3613.00,3612.00,3612.00,395,0\r\n2006-01-02,12:41:00,3612.00,3612.00,3612.00,3612.00,74,0\r\n2006-01-02,12:42:00,3612.00,3612.00,3611.00,3612.00,133,0\r\n2006-01-02,12:43:00,3612.00,3612.00,3611.00,3611.00,578,0\r\n2006-01-02,12:44:00,3611.00,3612.00,3611.00,3612.00,25,0\r\n2006-01-02,12:46:00,3611.00,3611.00,3611.00,3611.00,47,0\r\n2006-01-02,12:47:00,3611.00,3611.00,3611.00,3611.00,520,0\r\n2006-01-02,12:48:00,3611.00,3611.00,3610.00,3610.00,751,0\r\n2006-01-02,12:49:00,3611.00,3611.00,3610.00,3610.00,37,0\r\n2006-01-02,12:51:00,3610.00,3610.00,3610.00,3610.00,16,0\r\n2006-01-02,12:52:00,3610.00,3610.00,3609.00,3609.00,156,0\r\n2006-01-02,12:53:00,3610.00,3610.00,3609.00,3610.00,244,0\r\n2006-01-02,12:54:00,3610.00,3610.00,3610.00,3610.00,10,0\r\n2006-01-02,12:56:00,3610.00,3610.00,3610.00,3610.00,192,0\r\n2006-01-02,12:58:00,3609.00,3610.00,3609.00,3610.00,37,0\r\n2006-01-02,12:59:00,3610.00,3610.00,3610.00,3610.00,235,0\r\n2006-01-02,13:01:00,3609.00,3610.00,3609.00,3610.00,54,0\r\n2006-01-02,13:02:00,3610.00,3610.00,3609.00,3609.00,349,0\r\n2006-01-02,13:03:00,3609.00,3609.00,3609.00,3609.00,4,0\r\n2006-01-02,13:04:00,3610.00,3610.00,3610.00,3610.00,43,0\r\n2006-01-02,13:05:00,3610.00,3610.00,3609.00,3609.00,46,0\r\n2006-01-02,13:06:00,3609.00,3610.00,3609.00,3610.00,13,0\r\n2006-01-02,13:07:00,3609.00,3610.00,3609.00,3610.00,10,0\r\n2006-01-02,13:08:00,3609.00,3610.00,3609.00,3610.00,9,0\r\n2006-01-02,13:09:00,3610.00,3610.00,3609.00,3610.00,67,0\r\n2006-01-02,13:10:00,3610.00,3610.00,3609.00,3609.00,274,0\r\n2006-01-02,13:11:00,3609.00,3609.00,3609.00,3609.00,111,0\r\n2006-01-02,13:12:00,3609.00,3609.00,3609.00,3609.00,21,0\r\n2006-01-02,13:14:00,3609.00,3609.00,3609.00,3609.00,14,0\r\n2006-01-02,13:15:00,3609.00,3609.00,3609.00,3609.00,9,0\r\n2006-01-02,13:16:00,3609.00,3610.00,3609.00,3610.00,246,0\r\n2006-01-02,13:17:00,3610.00,3610.00,3608.00,3608.00,224,0\r\n2006-01-02,13:18:00,3609.00,3609.00,3608.00,3609.00,115,0\r\n2006-01-02,13:19:00,3609.00,3609.00,3608.00,3608.00,141,0\r\n2006-01-02,13:20:00,3608.00,3608.00,3608.00,3608.00,4,0\r\n2006-01-02,13:21:00,3609.00,3609.00,3609.00,3609.00,245,0\r\n2006-01-02,13:22:00,3609.00,3609.00,3609.00,3609.00,4,0\r\n2006-01-02,13:23:00,3610.00,3610.00,3610.00,3610.00,8,0\r\n2006-01-02,13:25:00,3609.00,3610.00,3609.00,3610.00,17,0\r\n2006-01-02,13:26:00,3609.00,3609.00,3609.00,3609.00,8,0\r\n2006-01-02,13:27:00,3610.00,3610.00,3610.00,3610.00,419,0\r\n2006-01-02,13:28:00,3610.00,3610.00,3609.00,3610.00,88,0\r\n2006-01-02,13:29:00,3609.00,3610.00,3609.00,3610.00,10,0\r\n2006-01-02,13:30:00,3610.00,3610.00,3609.00,3610.00,128,0\r\n2006-01-02,13:31:00,3609.00,3610.00,3609.00,3610.00,6,0\r\n2006-01-02,13:32:00,3610.00,3610.00,3609.00,3610.00,167,0\r\n2006-01-02,13:33:00,3609.00,3609.00,3609.00,3609.00,135,0\r\n2006-01-02,13:34:00,3609.00,3610.00,3609.00,3609.00,94,0\r\n2006-01-02,13:35:00,3609.00,3609.00,3609.00,3609.00,7,0\r\n2006-01-02,13:36:00,3609.00,3609.00,3609.00,3609.00,5,0\r\n2006-01-02,13:37:00,3609.00,3609.00,3609.00,3609.00,140,0\r\n2006-01-02,13:38:00,3610.00,3610.00,3610.00,3610.00,10,0\r\n2006-01-02,13:39:00,3610.00,3610.00,3609.00,3610.00,150,0\r\n2006-01-02,13:40:00,3609.00,3609.00,3607.00,3609.00,127,0\r\n2006-01-02,13:41:00,3608.00,3609.00,3608.00,3608.00,64,0\r\n2006-01-02,13:42:00,3608.00,3608.00,3608.00,3608.00,1,0\r\n2006-01-02,13:43:00,3608.00,3609.00,3608.00,3608.00,83,0\r\n2006-01-02,13:44:00,3608.00,3609.00,3608.00,3608.00,156,0\r\n2006-01-02,13:45:00,3609.00,3609.00,3608.00,3609.00,23,0\r\n2006-01-02,13:46:00,3608.00,3608.00,3608.00,3608.00,332,0\r\n2006-01-02,13:47:00,3608.00,3608.00,3608.00,3608.00,20,0\r\n2006-01-02,13:48:00,3608.00,3608.00,3607.00,3608.00,226,0\r\n2006-01-02,13:49:00,3608.00,3608.00,3607.00,3608.00,844,0\r\n2006-01-02,13:50:00,3608.00,3608.00,3607.00,3608.00,10,0\r\n2006-01-02,13:51:00,3607.00,3607.00,3607.00,3607.00,41,0\r\n2006-01-02,13:52:00,3608.00,3608.00,3608.00,3608.00,20,0\r\n2006-01-02,13:53:00,3607.00,3607.00,3607.00,3607.00,180,0\r\n2006-01-02,13:55:00,3607.00,3607.00,3607.00,3607.00,5,0\r\n2006-01-02,13:57:00,3607.00,3607.00,3607.00,3607.00,231,0\r\n2006-01-02,13:58:00,3607.00,3607.00,3607.00,3607.00,15,0\r\n2006-01-02,13:59:00,3607.00,3607.00,3607.00,3607.00,5,0\r\n2006-01-02,14:00:00,3607.00,3607.00,3607.00,3607.00,106,0\r\n2006-01-02,14:01:00,3608.00,3608.00,3607.00,3608.00,330,0\r\n2006-01-02,14:03:00,3608.00,3608.00,3607.00,3608.00,3,0\r\n2006-01-02,14:04:00,3608.00,3608.00,3607.00,3607.00,18,0\r\n2006-01-02,14:06:00,3608.00,3608.00,3607.00,3607.00,7,0\r\n2006-01-02,14:07:00,3607.00,3607.00,3607.00,3607.00,210,0\r\n2006-01-02,14:09:00,3606.00,3607.00,3606.00,3607.00,6,0\r\n2006-01-02,14:10:00,3607.00,3607.00,3607.00,3607.00,45,0\r\n2006-01-02,14:11:00,3606.00,3607.00,3606.00,3607.00,225,0\r\n2006-01-02,14:12:00,3608.00,3608.00,3607.00,3608.00,15,0\r\n2006-01-02,14:13:00,3608.00,3608.00,3608.00,3608.00,209,0\r\n2006-01-02,14:14:00,3607.00,3608.00,3607.00,3608.00,160,0\r\n2006-01-02,14:15:00,3608.00,3608.00,3607.00,3607.00,43,0\r\n2006-01-02,14:16:00,3608.00,3608.00,3608.00,3608.00,52,0\r\n2006-01-02,14:17:00,3608.00,3608.00,3608.00,3608.00,7,0\r\n2006-01-02,14:18:00,3608.00,3608.00,3607.00,3608.00,51,0\r\n2006-01-02,14:19:00,3608.00,3608.00,3608.00,3608.00,318,0\r\n2006-01-02,14:20:00,3608.00,3608.00,3607.00,3608.00,113,0\r\n2006-01-02,14:21:00,3608.00,3608.00,3607.00,3608.00,77,0\r\n2006-01-02,14:22:00,3608.00,3608.00,3607.00,3608.00,21,0\r\n2006-01-02,14:23:00,3608.00,3608.00,3607.00,3607.00,15,0\r\n2006-01-02,14:25:00,3608.00,3608.00,3608.00,3608.00,2,0\r\n2006-01-02,14:26:00,3608.00,3608.00,3607.00,3607.00,127,0\r\n2006-01-02,14:27:00,3608.00,3608.00,3608.00,3608.00,34,0\r\n2006-01-02,14:28:00,3608.00,3608.00,3607.00,3608.00,117,0\r\n2006-01-02,14:29:00,3608.00,3608.00,3608.00,3608.00,53,0\r\n2006-01-02,14:30:00,3608.00,3608.00,3607.00,3607.00,21,0\r\n2006-01-02,14:31:00,3608.00,3608.00,3608.00,3608.00,26,0\r\n2006-01-02,14:32:00,3608.00,3608.00,3608.00,3608.00,133,0\r\n2006-01-02,14:33:00,3608.00,3608.00,3608.00,3608.00,27,0\r\n2006-01-02,14:34:00,3608.00,3608.00,3608.00,3608.00,5,0\r\n2006-01-02,14:35:00,3608.00,3608.00,3608.00,3608.00,16,0\r\n2006-01-02,14:36:00,3608.00,3609.00,3608.00,3609.00,53,0\r\n2006-01-02,14:37:00,3609.00,3609.00,3608.00,3608.00,80,0\r\n2006-01-02,14:38:00,3609.00,3609.00,3608.00,3609.00,104,0\r\n2006-01-02,14:39:00,3609.00,3609.00,3608.00,3609.00,35,0\r\n2006-01-02,14:40:00,3609.00,3609.00,3608.00,3609.00,120,0\r\n2006-01-02,14:41:00,3609.00,3609.00,3608.00,3609.00,33,0\r\n2006-01-02,14:42:00,3608.00,3609.00,3608.00,3609.00,6,0\r\n2006-01-02,14:43:00,3608.00,3608.00,3608.00,3608.00,15,0\r\n2006-01-02,14:45:00,3608.00,3609.00,3608.00,3609.00,70,0\r\n2006-01-02,14:46:00,3609.00,3609.00,3608.00,3608.00,211,0\r\n2006-01-02,14:47:00,3610.00,3610.00,3608.00,3608.00,92,0\r\n2006-01-02,14:48:00,3608.00,3608.00,3608.00,3608.00,301,0\r\n2006-01-02,14:49:00,3608.00,3609.00,3608.00,3609.00,2,0\r\n2006-01-02,14:51:00,3608.00,3609.00,3608.00,3609.00,8,0\r\n2006-01-02,14:52:00,3608.00,3608.00,3608.00,3608.00,8,0\r\n2006-01-02,14:53:00,3609.00,3609.00,3608.00,3608.00,107,0\r\n2006-01-02,14:56:00,3609.00,3609.00,3608.00,3608.00,11,0\r\n2006-01-02,14:57:00,3609.00,3610.00,3609.00,3610.00,238,0\r\n2006-01-02,14:58:00,3609.00,3609.00,3609.00,3609.00,6,0\r\n2006-01-02,14:59:00,3609.00,3609.00,3609.00,3609.00,96,0\r\n2006-01-02,15:00:00,3610.00,3610.00,3609.00,3609.00,85,0\r\n2006-01-02,15:01:00,3609.00,3609.00,3608.00,3608.00,45,0\r\n2006-01-02,15:02:00,3609.00,3610.00,3609.00,3610.00,50,0\r\n2006-01-02,15:03:00,3609.00,3609.00,3609.00,3609.00,13,0\r\n2006-01-02,15:04:00,3609.00,3610.00,3609.00,3610.00,51,0\r\n2006-01-02,15:05:00,3609.00,3610.00,3609.00,3610.00,7,0\r\n2006-01-02,15:06:00,3609.00,3609.00,3609.00,3609.00,295,0\r\n2006-01-02,15:08:00,3610.00,3610.00,3610.00,3610.00,32,0\r\n2006-01-02,15:09:00,3610.00,3610.00,3610.00,3610.00,10,0\r\n2006-01-02,15:11:00,3609.00,3609.00,3609.00,3609.00,9,0\r\n2006-01-02,15:13:00,3610.00,3610.00,3609.00,3609.00,12,0\r\n2006-01-02,15:14:00,3609.00,3609.00,3609.00,3609.00,31,0\r\n2006-01-02,15:15:00,3609.00,3609.00,3609.00,3609.00,5,0\r\n2006-01-02,15:16:00,3610.00,3610.00,3610.00,3610.00,51,0\r\n2006-01-02,15:17:00,3610.00,3610.00,3609.00,3610.00,95,0\r\n2006-01-02,15:18:00,3609.00,3611.00,3609.00,3611.00,298,0\r\n2006-01-02,15:19:00,3610.00,3613.00,3610.00,3613.00,815,0\r\n2006-01-02,15:20:00,3613.00,3613.00,3612.00,3613.00,18,0\r\n2006-01-02,15:21:00,3613.00,3613.00,3612.00,3613.00,61,0\r\n2006-01-02,15:22:00,3613.00,3613.00,3612.00,3612.00,9,0\r\n2006-01-02,15:23:00,3613.00,3613.00,3612.00,3612.00,157,0\r\n2006-01-02,15:24:00,3613.00,3613.00,3612.00,3612.00,197,0\r\n2006-01-02,15:25:00,3613.00,3613.00,3612.00,3612.00,665,0\r\n2006-01-02,15:26:00,3613.00,3613.00,3613.00,3613.00,24,0\r\n2006-01-02,15:27:00,3613.00,3614.00,3613.00,3613.00,41,0\r\n2006-01-02,15:28:00,3613.00,3613.00,3613.00,3613.00,19,0\r\n2006-01-02,15:29:00,3613.00,3614.00,3613.00,3614.00,40,0\r\n2006-01-02,15:30:00,3613.00,3614.00,3613.00,3613.00,29,0\r\n2006-01-02,15:31:00,3613.00,3614.00,3613.00,3614.00,317,0\r\n2006-01-02,15:32:00,3614.00,3615.00,3614.00,3614.00,521,0\r\n2006-01-02,15:33:00,3614.00,3614.00,3613.00,3614.00,13,0\r\n2006-01-02,15:34:00,3613.00,3614.00,3613.00,3614.00,6,0\r\n2006-01-02,15:35:00,3614.00,3614.00,3613.00,3614.00,70,0\r\n2006-01-02,15:36:00,3613.00,3614.00,3613.00,3614.00,66,0\r\n2006-01-02,15:37:00,3615.00,3615.00,3614.00,3615.00,99,0\r\n2006-01-02,15:38:00,3614.00,3615.00,3614.00,3615.00,326,0\r\n2006-01-02,15:39:00,3615.00,3616.00,3615.00,3616.00,279,0\r\n2006-01-02,15:40:00,3616.00,3616.00,3615.00,3615.00,190,0\r\n2006-01-02,15:41:00,3616.00,3616.00,3615.00,3615.00,61,0\r\n2006-01-02,15:42:00,3615.00,3615.00,3615.00,3615.00,1,0\r\n2006-01-02,15:43:00,3615.00,3615.00,3615.00,3615.00,1,0\r\n2006-01-02,15:44:00,3615.00,3616.00,3615.00,3615.00,282,0\r\n2006-01-02,15:45:00,3616.00,3616.00,3615.00,3616.00,301,0\r\n2006-01-02,15:46:00,3615.00,3616.00,3615.00,3616.00,107,0\r\n2006-01-02,15:47:00,3615.00,3616.00,3615.00,3616.00,251,0\r\n2006-01-02,15:48:00,3615.00,3616.00,3615.00,3616.00,71,0\r\n2006-01-02,15:49:00,3616.00,3616.00,3616.00,3616.00,61,0\r\n2006-01-02,15:50:00,3617.00,3617.00,3616.00,3616.00,178,0\r\n2006-01-02,15:51:00,3616.00,3616.00,3615.00,3615.00,117,0\r\n2006-01-02,15:52:00,3615.00,3615.00,3615.00,3615.00,95,0\r\n2006-01-02,15:53:00,3615.00,3616.00,3615.00,3616.00,20,0\r\n2006-01-02,15:54:00,3616.00,3616.00,3614.00,3616.00,492,0\r\n2006-01-02,15:55:00,3615.00,3616.00,3615.00,3616.00,52,0\r\n2006-01-02,15:56:00,3615.00,3616.00,3615.00,3616.00,30,0\r\n2006-01-02,15:57:00,3616.00,3616.00,3615.00,3616.00,228,0\r\n2006-01-02,15:58:00,3616.00,3616.00,3614.00,3615.00,270,0\r\n2006-01-02,15:59:00,3614.00,3615.00,3614.00,3615.00,77,0\r\n2006-01-02,16:00:00,3614.00,3615.00,3614.00,3614.00,152,0\r\n2006-01-02,16:01:00,3614.00,3615.00,3614.00,3615.00,305,0\r\n2006-01-02,16:03:00,3615.00,3615.00,3614.00,3614.00,15,0\r\n2006-01-02,16:04:00,3614.00,3615.00,3614.00,3615.00,449,0\r\n2006-01-02,16:05:00,3614.00,3615.00,3614.00,3614.00,8,0\r\n2006-01-02,16:06:00,3614.00,3614.00,3614.00,3614.00,5,0\r\n2006-01-02,16:07:00,3614.00,3614.00,3614.00,3614.00,18,0\r\n2006-01-02,16:08:00,3614.00,3615.00,3614.00,3614.00,57,0\r\n2006-01-02,16:09:00,3614.00,3614.00,3614.00,3614.00,188,0\r\n2006-01-02,16:12:00,3614.00,3614.00,3613.00,3613.00,293,0\r\n2006-01-02,16:13:00,3613.00,3613.00,3613.00,3613.00,85,0\r\n2006-01-02,16:14:00,3613.00,3614.00,3613.00,3613.00,105,0\r\n2006-01-02,16:15:00,3613.00,3613.00,3613.00,3613.00,14,0\r\n2006-01-02,16:16:00,3613.00,3614.00,3613.00,3614.00,43,0\r\n2006-01-02,16:17:00,3613.00,3614.00,3613.00,3614.00,55,0\r\n2006-01-02,16:18:00,3613.00,3613.00,3613.00,3613.00,3,0\r\n2006-01-02,16:19:00,3614.00,3614.00,3613.00,3613.00,6,0\r\n2006-01-02,16:20:00,3614.00,3614.00,3614.00,3614.00,268,0\r\n2006-01-02,16:21:00,3615.00,3615.00,3614.00,3615.00,371,0\r\n2006-01-02,16:22:00,3615.00,3616.00,3614.00,3616.00,23,0\r\n2006-01-02,16:23:00,3616.00,3616.00,3615.00,3616.00,40,0\r\n2006-01-02,16:26:00,3615.00,3616.00,3615.00,3616.00,7,0\r\n2006-01-02,16:27:00,3615.00,3615.00,3615.00,3615.00,9,0\r\n2006-01-02,16:29:00,3615.00,3615.00,3615.00,3615.00,3,0\r\n2006-01-02,16:30:00,3615.00,3615.00,3615.00,3615.00,177,0\r\n2006-01-02,16:31:00,3615.00,3616.00,3615.00,3615.00,9,0\r\n2006-01-02,16:32:00,3616.00,3616.00,3615.00,3616.00,27,0\r\n2006-01-02,16:33:00,3615.00,3616.00,3615.00,3616.00,57,0\r\n2006-01-02,16:34:00,3616.00,3616.00,3615.00,3616.00,53,0\r\n2006-01-02,16:35:00,3616.00,3616.00,3615.00,3615.00,282,0\r\n2006-01-02,16:36:00,3616.00,3616.00,3615.00,3616.00,446,0\r\n2006-01-02,16:37:00,3616.00,3618.00,3616.00,3618.00,1830,0\r\n2006-01-02,16:38:00,3617.00,3618.00,3617.00,3617.00,332,0\r\n2006-01-02,16:39:00,3617.00,3617.00,3617.00,3617.00,66,0\r\n2006-01-02,16:40:00,3617.00,3618.00,3617.00,3617.00,242,0\r\n2006-01-02,16:41:00,3617.00,3617.00,3617.00,3617.00,267,0\r\n2006-01-02,16:42:00,3617.00,3618.00,3617.00,3618.00,70,0\r\n2006-01-02,16:43:00,3618.00,3618.00,3617.00,3618.00,352,0\r\n2006-01-02,16:44:00,3617.00,3617.00,3616.00,3617.00,24,0\r\n2006-01-02,16:45:00,3617.00,3618.00,3617.00,3617.00,55,0\r\n2006-01-02,16:46:00,3616.00,3617.00,3616.00,3617.00,6,0\r\n2006-01-02,16:47:00,3617.00,3617.00,3616.00,3617.00,54,0\r\n2006-01-02,16:48:00,3617.00,3617.00,3617.00,3617.00,40,0\r\n2006-01-02,16:49:00,3617.00,3617.00,3617.00,3617.00,175,0\r\n2006-01-02,16:50:00,3617.00,3617.00,3616.00,3616.00,16,0\r\n2006-01-02,16:51:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-02,16:52:00,3617.00,3617.00,3616.00,3616.00,104,0\r\n2006-01-02,16:53:00,3617.00,3617.00,3617.00,3617.00,10,0\r\n2006-01-02,16:54:00,3616.00,3616.00,3616.00,3616.00,2,0\r\n2006-01-02,16:55:00,3616.00,3617.00,3616.00,3617.00,157,0\r\n2006-01-02,16:57:00,3616.00,3617.00,3616.00,3616.00,202,0\r\n2006-01-02,16:58:00,3617.00,3617.00,3617.00,3617.00,64,0\r\n2006-01-02,16:59:00,3617.00,3617.00,3617.00,3617.00,7,0\r\n2006-01-02,17:00:00,3616.00,3617.00,3616.00,3617.00,160,0\r\n2006-01-02,17:01:00,3617.00,3617.00,3617.00,3617.00,450,0\r\n2006-01-02,17:02:00,3617.00,3617.00,3617.00,3617.00,3,0\r\n2006-01-02,17:03:00,3616.00,3618.00,3616.00,3618.00,283,0\r\n2006-01-02,17:04:00,3617.00,3618.00,3617.00,3618.00,187,0\r\n2006-01-02,17:05:00,3617.00,3618.00,3617.00,3618.00,13,0\r\n2006-01-02,17:06:00,3618.00,3618.00,3617.00,3618.00,354,0\r\n2006-01-02,17:07:00,3618.00,3618.00,3617.00,3618.00,437,0\r\n2006-01-02,17:08:00,3618.00,3618.00,3617.00,3617.00,706,0\r\n2006-01-02,17:09:00,3617.00,3617.00,3617.00,3617.00,5,0\r\n2006-01-02,17:10:00,3617.00,3617.00,3617.00,3617.00,111,0\r\n2006-01-02,17:11:00,3617.00,3618.00,3617.00,3617.00,195,0\r\n2006-01-02,17:12:00,3617.00,3617.00,3617.00,3617.00,84,0\r\n2006-01-02,17:13:00,3618.00,3618.00,3617.00,3617.00,127,0\r\n2006-01-02,17:14:00,3617.00,3618.00,3617.00,3617.00,105,0\r\n2006-01-02,17:15:00,3618.00,3618.00,3617.00,3618.00,1015,0\r\n2006-01-02,17:16:00,3618.00,3619.00,3618.00,3619.00,489,0\r\n2006-01-02,17:17:00,3619.00,3620.00,3619.00,3620.00,1615,0\r\n2006-01-02,17:18:00,3620.00,3620.00,3618.00,3618.00,871,0\r\n2006-01-02,17:19:00,3619.00,3619.00,3618.00,3619.00,318,0\r\n2006-01-02,17:20:00,3618.00,3618.00,3618.00,3618.00,1402,0\r\n2006-01-02,17:21:00,3618.00,3618.00,3617.00,3618.00,58,0\r\n2006-01-02,17:22:00,3618.00,3619.00,3618.00,3618.00,417,0\r\n2006-01-02,17:23:00,3618.00,3619.00,3618.00,3618.00,163,0\r\n2006-01-02,17:24:00,3619.00,3619.00,3618.00,3618.00,296,0\r\n2006-01-02,17:25:00,3619.00,3619.00,3618.00,3619.00,153,0\r\n2006-01-02,17:26:00,3619.00,3620.00,3619.00,3620.00,425,0\r\n2006-01-02,17:27:00,3619.00,3620.00,3619.00,3619.00,815,0\r\n2006-01-02,17:28:00,3620.00,3621.00,3619.00,3620.00,693,0\r\n2006-01-02,17:29:00,3621.00,3621.00,3620.00,3620.00,866,0\r\n2006-01-02,17:30:00,3620.00,3621.00,3619.00,3621.00,1670,0\r\n2006-01-02,17:31:00,3620.00,3621.00,3620.00,3620.00,1150,0\r\n2006-01-02,17:32:00,3620.00,3621.00,3620.00,3620.00,926,0\r\n2006-01-02,17:33:00,3620.00,3621.00,3620.00,3621.00,683,0\r\n2006-01-02,17:34:00,3621.00,3622.00,3620.00,3622.00,525,0\r\n2006-01-02,17:35:00,3622.00,3622.00,3621.00,3622.00,84,0\r\n2006-01-02,17:36:00,3621.00,3621.00,3621.00,3621.00,76,0\r\n2006-01-02,17:37:00,3622.00,3623.00,3621.00,3623.00,1426,0\r\n2006-01-02,17:38:00,3623.00,3624.00,3622.00,3623.00,521,0\r\n2006-01-02,17:39:00,3623.00,3623.00,3622.00,3623.00,37,0\r\n2006-01-02,17:40:00,3622.00,3623.00,3622.00,3623.00,189,0\r\n2006-01-02,17:41:00,3622.00,3622.00,3622.00,3622.00,66,0\r\n2006-01-02,17:42:00,3622.00,3623.00,3622.00,3622.00,207,0\r\n2006-01-02,17:43:00,3623.00,3623.00,3622.00,3623.00,327,0\r\n2006-01-02,17:44:00,3622.00,3622.00,3622.00,3622.00,53,0\r\n2006-01-02,17:45:00,3622.00,3623.00,3622.00,3623.00,16,0\r\n2006-01-02,17:46:00,3622.00,3622.00,3622.00,3622.00,59,0\r\n2006-01-02,17:47:00,3622.00,3622.00,3622.00,3622.00,30,0\r\n2006-01-02,17:48:00,3622.00,3623.00,3622.00,3622.00,172,0\r\n2006-01-02,17:49:00,3622.00,3622.00,3622.00,3622.00,4,0\r\n2006-01-02,17:50:00,3623.00,3624.00,3622.00,3624.00,306,0\r\n2006-01-02,17:51:00,3623.00,3624.00,3623.00,3623.00,430,0\r\n2006-01-02,17:52:00,3623.00,3623.00,3622.00,3623.00,350,0\r\n2006-01-02,17:53:00,3622.00,3622.00,3621.00,3622.00,357,0\r\n2006-01-02,17:54:00,3622.00,3622.00,3622.00,3622.00,4,0\r\n2006-01-02,17:55:00,3622.00,3622.00,3622.00,3622.00,3,0\r\n2006-01-02,17:56:00,3622.00,3623.00,3622.00,3623.00,40,0\r\n2006-01-02,17:57:00,3623.00,3623.00,3622.00,3623.00,97,0\r\n2006-01-02,17:58:00,3623.00,3623.00,3623.00,3623.00,72,0\r\n2006-01-02,17:59:00,3623.00,3623.00,3623.00,3623.00,73,0\r\n2006-01-02,18:00:00,3623.00,3623.00,3622.00,3622.00,143,0\r\n2006-01-02,18:01:00,3622.00,3622.00,3622.00,3622.00,11,0\r\n2006-01-02,18:02:00,3622.00,3622.00,3622.00,3622.00,104,0\r\n2006-01-02,18:03:00,3622.00,3623.00,3622.00,3622.00,55,0\r\n2006-01-02,18:05:00,3622.00,3622.00,3622.00,3622.00,15001,0\r\n2006-01-02,18:06:00,3622.00,3622.00,3622.00,3622.00,4140,0\r\n2006-01-02,18:07:00,3622.00,3623.00,3622.00,3622.00,40,0\r\n2006-01-02,18:08:00,3621.00,3622.00,3621.00,3622.00,6,0\r\n2006-01-02,18:09:00,3622.00,3622.00,3621.00,3621.00,159,0\r\n2006-01-02,18:10:00,3621.00,3621.00,3621.00,3621.00,2,0\r\n2006-01-02,18:11:00,3621.00,3622.00,3621.00,3622.00,23,0\r\n2006-01-02,18:12:00,3621.00,3621.00,3621.00,3621.00,37,0\r\n2006-01-02,18:16:00,3622.00,3622.00,3622.00,3622.00,18,0\r\n2006-01-02,18:17:00,3621.00,3622.00,3621.00,3622.00,8,0\r\n2006-01-02,18:18:00,3621.00,3621.00,3621.00,3621.00,3,0\r\n2006-01-02,18:19:00,3622.00,3622.00,3622.00,3622.00,164,0\r\n2006-01-02,18:20:00,3621.00,3622.00,3621.00,3621.00,40,0\r\n2006-01-02,18:21:00,3622.00,3622.00,3621.00,3622.00,40,0\r\n2006-01-02,18:25:00,3621.00,3621.00,3621.00,3621.00,1,0\r\n2006-01-02,18:27:00,3621.00,3621.00,3621.00,3621.00,205,0\r\n2006-01-02,18:28:00,3621.00,3621.00,3620.00,3620.00,140,0\r\n2006-01-02,18:29:00,3620.00,3620.00,3620.00,3620.00,224,0\r\n2006-01-02,18:30:00,3620.00,3621.00,3620.00,3620.00,204,0\r\n2006-01-02,18:31:00,3620.00,3620.00,3620.00,3620.00,6,0\r\n2006-01-02,18:33:00,3620.00,3620.00,3620.00,3620.00,2,0\r\n2006-01-02,18:35:00,3620.00,3620.00,3620.00,3620.00,2,0\r\n2006-01-02,18:38:00,3621.00,3621.00,3621.00,3621.00,1,0\r\n2006-01-02,18:39:00,3621.00,3621.00,3621.00,3621.00,1,0\r\n2006-01-02,18:41:00,3620.00,3620.00,3620.00,3620.00,1,0\r\n2006-01-02,18:43:00,3621.00,3621.00,3621.00,3621.00,2,0\r\n2006-01-02,18:44:00,3621.00,3621.00,3621.00,3621.00,2,0\r\n2006-01-02,18:45:00,3620.00,3620.00,3620.00,3620.00,224,0\r\n2006-01-02,18:46:00,3620.00,3621.00,3620.00,3621.00,40,0\r\n2006-01-02,18:47:00,3620.00,3621.00,3620.00,3620.00,15,0\r\n2006-01-02,18:48:00,3621.00,3621.00,3621.00,3621.00,166,0\r\n2006-01-02,18:50:00,3620.00,3620.00,3620.00,3620.00,2,0\r\n2006-01-02,18:58:00,3620.00,3620.00,3620.00,3620.00,17,0\r\n2006-01-02,18:59:00,3621.00,3621.00,3620.00,3620.00,9,0\r\n2006-01-02,19:00:00,3620.00,3620.00,3620.00,3620.00,17,0\r\n2006-01-02,19:02:00,3621.00,3621.00,3621.00,3621.00,31,0\r\n2006-01-02,19:06:00,3621.00,3621.00,3621.00,3621.00,1,0\r\n2006-01-02,19:09:00,3621.00,3621.00,3621.00,3621.00,11,0\r\n2006-01-02,19:10:00,3621.00,3621.00,3621.00,3621.00,6,0\r\n2006-01-02,19:11:00,3620.00,3621.00,3620.00,3621.00,11,0\r\n2006-01-02,19:12:00,3620.00,3620.00,3620.00,3620.00,1,0\r\n2006-01-02,19:13:00,3620.00,3620.00,3620.00,3620.00,1,0\r\n2006-01-02,19:15:00,3620.00,3620.00,3620.00,3620.00,1,0\r\n2006-01-02,19:17:00,3620.00,3620.00,3620.00,3620.00,182,0\r\n2006-01-02,19:20:00,3619.00,3619.00,3618.00,3618.00,254,0\r\n2006-01-02,19:22:00,3618.00,3618.00,3618.00,3618.00,1,0\r\n2006-01-02,19:23:00,3618.00,3618.00,3618.00,3618.00,7,0\r\n2006-01-02,19:26:00,3618.00,3618.00,3618.00,3618.00,16,0\r\n2006-01-02,19:28:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-02,19:29:00,3619.00,3619.00,3619.00,3619.00,2,0\r\n2006-01-02,19:31:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-02,19:32:00,3619.00,3619.00,3619.00,3619.00,2,0\r\n2006-01-02,19:33:00,3618.00,3618.00,3618.00,3618.00,41,0\r\n2006-01-02,19:34:00,3619.00,3620.00,3619.00,3620.00,86,0\r\n2006-01-02,19:36:00,3619.00,3619.00,3618.00,3618.00,200,0\r\n2006-01-02,19:37:00,3620.00,3620.00,3620.00,3620.00,2,0\r\n2006-01-02,19:39:00,3620.00,3620.00,3620.00,3620.00,15,0\r\n2006-01-02,19:42:00,3619.00,3619.00,3619.00,3619.00,25,0\r\n2006-01-02,19:44:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-02,19:45:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-02,19:46:00,3618.00,3618.00,3618.00,3618.00,6,0\r\n2006-01-02,19:47:00,3618.00,3618.00,3618.00,3618.00,56,0\r\n2006-01-02,19:48:00,3617.00,3618.00,3617.00,3618.00,110,0\r\n2006-01-02,19:49:00,3618.00,3618.00,3618.00,3618.00,20,0\r\n2006-01-02,19:50:00,3617.00,3617.00,3617.00,3617.00,3,0\r\n2006-01-02,19:51:00,3618.00,3618.00,3618.00,3618.00,5,0\r\n2006-01-02,19:53:00,3618.00,3618.00,3617.00,3617.00,100,0\r\n2006-01-02,19:54:00,3618.00,3618.00,3618.00,3618.00,3,0\r\n2006-01-02,19:55:00,3618.00,3618.00,3618.00,3618.00,15,0\r\n2006-01-02,19:56:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-02,19:57:00,3618.00,3618.00,3618.00,3618.00,311,0\r\n2006-01-02,19:58:00,3618.00,3619.00,3618.00,3619.00,20,0\r\n2006-01-02,19:59:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-02,20:00:00,3618.00,3618.00,3617.00,3618.00,242,0\r\n2006-01-02,20:01:00,3618.00,3618.00,3617.00,3617.00,15,0\r\n2006-01-02,20:04:00,3617.00,3617.00,3617.00,3617.00,107,0\r\n2006-01-03,09:01:00,3623.00,3625.00,3622.00,3624.00,4026,0\r\n2006-01-03,09:02:00,3624.00,3624.00,3620.00,3621.00,6824,0\r\n2006-01-03,09:03:00,3621.00,3621.00,3620.00,3621.00,854,0\r\n2006-01-03,09:04:00,3622.00,3624.00,3622.00,3622.00,1771,0\r\n2006-01-03,09:05:00,3622.00,3626.00,3622.00,3626.00,1212,0\r\n2006-01-03,09:06:00,3626.00,3627.00,3625.00,3626.00,1400,0\r\n2006-01-03,09:07:00,3626.00,3628.00,3626.00,3627.00,1166,0\r\n2006-01-03,09:08:00,3627.00,3630.00,3627.00,3630.00,2215,0\r\n2006-01-03,09:09:00,3630.00,3632.00,3629.00,3631.00,3859,0\r\n2006-01-03,09:10:00,3632.00,3632.00,3631.00,3631.00,361,0\r\n2006-01-03,09:11:00,3631.00,3632.00,3630.00,3630.00,2681,0\r\n2006-01-03,09:12:00,3630.00,3631.00,3630.00,3630.00,1126,0\r\n2006-01-03,09:13:00,3630.00,3631.00,3630.00,3630.00,237,0\r\n2006-01-03,09:14:00,3630.00,3632.00,3630.00,3631.00,1231,0\r\n2006-01-03,09:15:00,3630.00,3631.00,3630.00,3630.00,924,0\r\n2006-01-03,09:16:00,3630.00,3630.00,3629.00,3629.00,864,0\r\n2006-01-03,09:17:00,3630.00,3630.00,3629.00,3630.00,1026,0\r\n2006-01-03,09:18:00,3630.00,3632.00,3630.00,3631.00,1734,0\r\n2006-01-03,09:19:00,3630.00,3633.00,3630.00,3632.00,815,0\r\n2006-01-03,09:20:00,3632.00,3632.00,3631.00,3631.00,665,0\r\n2006-01-03,09:21:00,3631.00,3633.00,3631.00,3633.00,2044,0\r\n2006-01-03,09:22:00,3633.00,3634.00,3632.00,3634.00,1815,0\r\n2006-01-03,09:23:00,3633.00,3636.00,3633.00,3636.00,4154,0\r\n2006-01-03,09:24:00,3635.00,3637.00,3635.00,3636.00,3642,0\r\n2006-01-03,09:25:00,3637.00,3637.00,3636.00,3636.00,1104,0\r\n2006-01-03,09:26:00,3637.00,3637.00,3635.00,3635.00,3323,0\r\n2006-01-03,09:27:00,3635.00,3636.00,3635.00,3636.00,706,0\r\n2006-01-03,09:28:00,3636.00,3637.00,3635.00,3637.00,1203,0\r\n2006-01-03,09:29:00,3637.00,3638.00,3637.00,3638.00,1712,0\r\n2006-01-03,09:30:00,3637.00,3638.00,3635.00,3636.00,1458,0\r\n2006-01-03,09:31:00,3636.00,3639.00,3635.00,3639.00,618,0\r\n2006-01-03,09:32:00,3639.00,3641.00,3638.00,3640.00,2416,0\r\n2006-01-03,09:33:00,3641.00,3641.00,3639.00,3640.00,2443,0\r\n2006-01-03,09:34:00,3640.00,3643.00,3640.00,3642.00,2637,0\r\n2006-01-03,09:35:00,3642.00,3642.00,3640.00,3641.00,2404,0\r\n2006-01-03,09:36:00,3642.00,3643.00,3641.00,3643.00,891,0\r\n2006-01-03,09:37:00,3642.00,3643.00,3642.00,3643.00,471,0\r\n2006-01-03,09:38:00,3642.00,3645.00,3642.00,3645.00,1966,0\r\n2006-01-03,09:39:00,3644.00,3646.00,3643.00,3646.00,3202,0\r\n2006-01-03,09:40:00,3646.00,3646.00,3644.00,3645.00,1793,0\r\n2006-01-03,09:41:00,3644.00,3645.00,3643.00,3643.00,712,0\r\n2006-01-03,09:42:00,3644.00,3644.00,3643.00,3643.00,674,0\r\n2006-01-03,09:43:00,3643.00,3643.00,3642.00,3642.00,1016,0\r\n2006-01-03,09:44:00,3642.00,3643.00,3642.00,3642.00,445,0\r\n2006-01-03,09:45:00,3642.00,3643.00,3642.00,3643.00,996,0\r\n2006-01-03,09:46:00,3642.00,3642.00,3641.00,3642.00,1125,0\r\n2006-01-03,09:47:00,3642.00,3643.00,3642.00,3642.00,1059,0\r\n2006-01-03,09:48:00,3642.00,3643.00,3641.00,3643.00,926,0\r\n2006-01-03,09:49:00,3642.00,3643.00,3642.00,3642.00,411,0\r\n2006-01-03,09:50:00,3642.00,3643.00,3642.00,3643.00,749,0\r\n2006-01-03,09:51:00,3643.00,3643.00,3642.00,3643.00,664,0\r\n2006-01-03,09:52:00,3643.00,3646.00,3643.00,3645.00,2878,0\r\n2006-01-03,09:53:00,3644.00,3645.00,3644.00,3645.00,631,0\r\n2006-01-03,09:54:00,3645.00,3645.00,3644.00,3644.00,441,0\r\n2006-01-03,09:55:00,3644.00,3645.00,3644.00,3644.00,55,0\r\n2006-01-03,09:56:00,3644.00,3645.00,3644.00,3644.00,565,0\r\n2006-01-03,09:57:00,3644.00,3645.00,3644.00,3644.00,183,0\r\n2006-01-03,09:58:00,3644.00,3644.00,3643.00,3644.00,856,0\r\n2006-01-03,09:59:00,3643.00,3644.00,3643.00,3644.00,469,0\r\n2006-01-03,10:00:00,3644.00,3646.00,3643.00,3646.00,1162,0\r\n2006-01-03,10:01:00,3646.00,3646.00,3645.00,3646.00,665,0\r\n2006-01-03,10:02:00,3646.00,3647.00,3645.00,3647.00,2623,0\r\n2006-01-03,10:03:00,3647.00,3647.00,3645.00,3646.00,2707,0\r\n2006-01-03,10:04:00,3645.00,3646.00,3645.00,3646.00,679,0\r\n2006-01-03,10:05:00,3645.00,3646.00,3645.00,3645.00,42,0\r\n2006-01-03,10:06:00,3645.00,3646.00,3644.00,3644.00,682,0\r\n2006-01-03,10:07:00,3644.00,3645.00,3644.00,3645.00,391,0\r\n2006-01-03,10:08:00,3644.00,3645.00,3643.00,3645.00,1161,0\r\n2006-01-03,10:09:00,3645.00,3646.00,3645.00,3645.00,1476,0\r\n2006-01-03,10:10:00,3644.00,3645.00,3644.00,3645.00,394,0\r\n2006-01-03,10:11:00,3645.00,3646.00,3644.00,3645.00,1187,0\r\n2006-01-03,10:12:00,3645.00,3645.00,3644.00,3644.00,464,0\r\n2006-01-03,10:13:00,3644.00,3644.00,3644.00,3644.00,149,0\r\n2006-01-03,10:14:00,3644.00,3644.00,3644.00,3644.00,487,0\r\n2006-01-03,10:15:00,3644.00,3645.00,3644.00,3645.00,1067,0\r\n2006-01-03,10:16:00,3645.00,3646.00,3645.00,3645.00,399,0\r\n2006-01-03,10:17:00,3645.00,3646.00,3644.00,3645.00,179,0\r\n2006-01-03,10:18:00,3645.00,3645.00,3644.00,3645.00,539,0\r\n2006-01-03,10:19:00,3646.00,3646.00,3645.00,3646.00,1173,0\r\n2006-01-03,10:20:00,3646.00,3646.00,3645.00,3646.00,269,0\r\n2006-01-03,10:21:00,3646.00,3647.00,3646.00,3647.00,2134,0\r\n2006-01-03,10:22:00,3647.00,3648.00,3647.00,3648.00,1801,0\r\n2006-01-03,10:23:00,3648.00,3648.00,3647.00,3648.00,759,0\r\n2006-01-03,10:24:00,3647.00,3647.00,3645.00,3645.00,1956,0\r\n2006-01-03,10:25:00,3646.00,3649.00,3646.00,3648.00,1020,0\r\n2006-01-03,10:26:00,3648.00,3649.00,3647.00,3647.00,2711,0\r\n2006-01-03,10:27:00,3647.00,3648.00,3647.00,3648.00,597,0\r\n2006-01-03,10:28:00,3647.00,3648.00,3647.00,3647.00,140,0\r\n2006-01-03,10:29:00,3648.00,3648.00,3647.00,3648.00,783,0\r\n2006-01-03,10:30:00,3648.00,3648.00,3647.00,3647.00,1212,0\r\n2006-01-03,10:31:00,3648.00,3648.00,3647.00,3648.00,56,0\r\n2006-01-03,10:32:00,3647.00,3648.00,3647.00,3647.00,313,0\r\n2006-01-03,10:33:00,3647.00,3647.00,3647.00,3647.00,135,0\r\n2006-01-03,10:34:00,3648.00,3648.00,3647.00,3648.00,171,0\r\n2006-01-03,10:35:00,3647.00,3648.00,3647.00,3647.00,169,0\r\n2006-01-03,10:36:00,3648.00,3648.00,3647.00,3647.00,34,0\r\n2006-01-03,10:37:00,3647.00,3648.00,3647.00,3648.00,254,0\r\n2006-01-03,10:38:00,3648.00,3648.00,3647.00,3648.00,489,0\r\n2006-01-03,10:39:00,3648.00,3649.00,3648.00,3648.00,724,0\r\n2006-01-03,10:40:00,3648.00,3648.00,3647.00,3647.00,188,0\r\n2006-01-03,10:41:00,3647.00,3648.00,3647.00,3647.00,178,0\r\n2006-01-03,10:42:00,3648.00,3648.00,3648.00,3648.00,20,0\r\n2006-01-03,10:43:00,3647.00,3647.00,3647.00,3647.00,132,0\r\n2006-01-03,10:44:00,3648.00,3649.00,3648.00,3649.00,678,0\r\n2006-01-03,10:45:00,3648.00,3649.00,3648.00,3649.00,216,0\r\n2006-01-03,10:46:00,3648.00,3649.00,3648.00,3648.00,258,0\r\n2006-01-03,10:47:00,3649.00,3651.00,3648.00,3651.00,1357,0\r\n2006-01-03,10:48:00,3651.00,3651.00,3650.00,3650.00,893,0\r\n2006-01-03,10:49:00,3650.00,3650.00,3648.00,3650.00,617,0\r\n2006-01-03,10:50:00,3650.00,3650.00,3649.00,3649.00,746,0\r\n2006-01-03,10:51:00,3648.00,3649.00,3647.00,3648.00,751,0\r\n2006-01-03,10:52:00,3648.00,3648.00,3647.00,3648.00,277,0\r\n2006-01-03,10:53:00,3647.00,3648.00,3647.00,3647.00,1423,0\r\n2006-01-03,10:54:00,3646.00,3647.00,3646.00,3646.00,138,0\r\n2006-01-03,10:55:00,3647.00,3647.00,3646.00,3646.00,58,0\r\n2006-01-03,10:56:00,3646.00,3646.00,3646.00,3646.00,672,0\r\n2006-01-03,10:57:00,3646.00,3647.00,3646.00,3646.00,625,0\r\n2006-01-03,10:58:00,3647.00,3647.00,3647.00,3647.00,165,0\r\n2006-01-03,10:59:00,3647.00,3647.00,3646.00,3647.00,383,0\r\n2006-01-03,11:00:00,3647.00,3649.00,3647.00,3648.00,3100,0\r\n2006-01-03,11:01:00,3648.00,3649.00,3648.00,3649.00,317,0\r\n2006-01-03,11:02:00,3649.00,3651.00,3649.00,3650.00,1853,0\r\n2006-01-03,11:03:00,3650.00,3650.00,3649.00,3650.00,2103,0\r\n2006-01-03,11:04:00,3649.00,3650.00,3649.00,3650.00,1528,0\r\n2006-01-03,11:05:00,3650.00,3651.00,3649.00,3651.00,1716,0\r\n2006-01-03,11:06:00,3651.00,3652.00,3650.00,3652.00,1488,0\r\n2006-01-03,11:07:00,3652.00,3652.00,3649.00,3649.00,2583,0\r\n2006-01-03,11:08:00,3649.00,3650.00,3649.00,3650.00,199,0\r\n2006-01-03,11:09:00,3649.00,3650.00,3649.00,3650.00,335,0\r\n2006-01-03,11:10:00,3649.00,3650.00,3649.00,3649.00,84,0\r\n2006-01-03,11:11:00,3650.00,3650.00,3649.00,3650.00,410,0\r\n2006-01-03,11:12:00,3649.00,3650.00,3649.00,3649.00,36,0\r\n2006-01-03,11:13:00,3649.00,3650.00,3649.00,3649.00,978,0\r\n2006-01-03,11:14:00,3649.00,3650.00,3648.00,3650.00,599,0\r\n2006-01-03,11:15:00,3649.00,3650.00,3649.00,3649.00,636,0\r\n2006-01-03,11:16:00,3649.00,3649.00,3648.00,3648.00,544,0\r\n2006-01-03,11:17:00,3648.00,3649.00,3648.00,3648.00,518,0\r\n2006-01-03,11:18:00,3648.00,3648.00,3647.00,3648.00,875,0\r\n2006-01-03,11:19:00,3648.00,3648.00,3647.00,3647.00,1026,0\r\n2006-01-03,11:20:00,3648.00,3648.00,3647.00,3647.00,813,0\r\n2006-01-03,11:21:00,3647.00,3648.00,3647.00,3647.00,1053,0\r\n2006-01-03,11:22:00,3647.00,3648.00,3647.00,3648.00,997,0\r\n2006-01-03,11:23:00,3649.00,3649.00,3648.00,3648.00,98,0\r\n2006-01-03,11:25:00,3648.00,3649.00,3648.00,3649.00,36,0\r\n2006-01-03,11:26:00,3649.00,3649.00,3648.00,3648.00,33,0\r\n2006-01-03,11:27:00,3649.00,3649.00,3648.00,3648.00,587,0\r\n2006-01-03,11:28:00,3648.00,3648.00,3648.00,3648.00,114,0\r\n2006-01-03,11:29:00,3649.00,3649.00,3648.00,3648.00,215,0\r\n2006-01-03,11:30:00,3648.00,3649.00,3648.00,3649.00,51,0\r\n2006-01-03,11:31:00,3649.00,3649.00,3648.00,3649.00,342,0\r\n2006-01-03,11:32:00,3649.00,3649.00,3648.00,3648.00,1274,0\r\n2006-01-03,11:33:00,3648.00,3648.00,3648.00,3648.00,415,0\r\n2006-01-03,11:34:00,3649.00,3649.00,3647.00,3647.00,277,0\r\n2006-01-03,11:35:00,3648.00,3648.00,3647.00,3647.00,55,0\r\n2006-01-03,11:36:00,3648.00,3648.00,3647.00,3647.00,72,0\r\n2006-01-03,11:37:00,3648.00,3649.00,3648.00,3648.00,1518,0\r\n2006-01-03,11:38:00,3648.00,3649.00,3648.00,3649.00,562,0\r\n2006-01-03,11:39:00,3648.00,3648.00,3647.00,3647.00,414,0\r\n2006-01-03,11:40:00,3648.00,3648.00,3648.00,3648.00,314,0\r\n2006-01-03,11:41:00,3648.00,3649.00,3648.00,3648.00,366,0\r\n2006-01-03,11:42:00,3648.00,3648.00,3648.00,3648.00,146,0\r\n2006-01-03,11:43:00,3648.00,3649.00,3648.00,3648.00,31,0\r\n2006-01-03,11:44:00,3648.00,3649.00,3648.00,3648.00,455,0\r\n2006-01-03,11:45:00,3649.00,3649.00,3648.00,3648.00,365,0\r\n2006-01-03,11:46:00,3648.00,3649.00,3648.00,3649.00,32,0\r\n2006-01-03,11:47:00,3649.00,3649.00,3648.00,3648.00,219,0\r\n2006-01-03,11:48:00,3648.00,3649.00,3648.00,3648.00,28,0\r\n2006-01-03,11:49:00,3648.00,3649.00,3648.00,3649.00,833,0\r\n2006-01-03,11:50:00,3649.00,3649.00,3648.00,3648.00,112,0\r\n2006-01-03,11:51:00,3649.00,3649.00,3648.00,3649.00,100,0\r\n2006-01-03,11:52:00,3648.00,3649.00,3648.00,3648.00,256,0\r\n2006-01-03,11:53:00,3648.00,3649.00,3648.00,3648.00,1059,0\r\n2006-01-03,11:54:00,3649.00,3649.00,3648.00,3649.00,259,0\r\n2006-01-03,11:55:00,3649.00,3649.00,3648.00,3648.00,852,0\r\n2006-01-03,11:56:00,3648.00,3650.00,3648.00,3649.00,2100,0\r\n2006-01-03,11:57:00,3649.00,3650.00,3649.00,3649.00,489,0\r\n2006-01-03,11:58:00,3649.00,3650.00,3649.00,3649.00,353,0\r\n2006-01-03,11:59:00,3649.00,3650.00,3648.00,3649.00,296,0\r\n2006-01-03,12:00:00,3649.00,3649.00,3648.00,3648.00,340,0\r\n2006-01-03,12:01:00,3649.00,3649.00,3648.00,3649.00,961,0\r\n2006-01-03,12:02:00,3648.00,3649.00,3648.00,3649.00,784,0\r\n2006-01-03,12:03:00,3649.00,3649.00,3648.00,3648.00,1321,0\r\n2006-01-03,12:04:00,3648.00,3648.00,3648.00,3648.00,482,0\r\n2006-01-03,12:05:00,3648.00,3649.00,3647.00,3648.00,329,0\r\n2006-01-03,12:06:00,3647.00,3648.00,3647.00,3648.00,268,0\r\n2006-01-03,12:07:00,3648.00,3648.00,3647.00,3647.00,642,0\r\n2006-01-03,12:08:00,3647.00,3648.00,3647.00,3647.00,61,0\r\n2006-01-03,12:09:00,3647.00,3648.00,3647.00,3648.00,161,0\r\n2006-01-03,12:10:00,3648.00,3648.00,3647.00,3647.00,11,0\r\n2006-01-03,12:11:00,3648.00,3648.00,3647.00,3648.00,39,0\r\n2006-01-03,12:12:00,3647.00,3648.00,3647.00,3647.00,41,0\r\n2006-01-03,12:13:00,3647.00,3647.00,3647.00,3647.00,85,0\r\n2006-01-03,12:14:00,3647.00,3648.00,3647.00,3648.00,55,0\r\n2006-01-03,12:15:00,3647.00,3647.00,3647.00,3647.00,1,0\r\n2006-01-03,12:16:00,3648.00,3648.00,3647.00,3647.00,116,0\r\n2006-01-03,12:17:00,3647.00,3648.00,3647.00,3648.00,4,0\r\n2006-01-03,12:18:00,3647.00,3648.00,3647.00,3648.00,750,0\r\n2006-01-03,12:19:00,3647.00,3648.00,3647.00,3648.00,171,0\r\n2006-01-03,12:20:00,3647.00,3647.00,3647.00,3647.00,387,0\r\n2006-01-03,12:21:00,3647.00,3647.00,3646.00,3647.00,429,0\r\n2006-01-03,12:22:00,3646.00,3647.00,3646.00,3646.00,253,0\r\n2006-01-03,12:23:00,3646.00,3647.00,3646.00,3646.00,56,0\r\n2006-01-03,12:24:00,3646.00,3647.00,3646.00,3647.00,406,0\r\n2006-01-03,12:25:00,3647.00,3647.00,3647.00,3647.00,364,0\r\n2006-01-03,12:26:00,3647.00,3647.00,3646.00,3646.00,2375,0\r\n2006-01-03,12:28:00,3647.00,3647.00,3646.00,3647.00,122,0\r\n2006-01-03,12:29:00,3646.00,3647.00,3646.00,3647.00,254,0\r\n2006-01-03,12:30:00,3646.00,3647.00,3646.00,3646.00,427,0\r\n2006-01-03,12:31:00,3646.00,3647.00,3646.00,3646.00,200,0\r\n2006-01-03,12:32:00,3647.00,3647.00,3646.00,3646.00,169,0\r\n2006-01-03,12:33:00,3647.00,3647.00,3646.00,3647.00,883,0\r\n2006-01-03,12:34:00,3647.00,3648.00,3646.00,3647.00,156,0\r\n2006-01-03,12:35:00,3646.00,3647.00,3646.00,3647.00,104,0\r\n2006-01-03,12:36:00,3647.00,3647.00,3646.00,3647.00,201,0\r\n2006-01-03,12:37:00,3647.00,3647.00,3646.00,3646.00,221,0\r\n2006-01-03,12:38:00,3647.00,3647.00,3646.00,3646.00,429,0\r\n2006-01-03,12:39:00,3646.00,3647.00,3646.00,3647.00,857,0\r\n2006-01-03,12:40:00,3646.00,3647.00,3646.00,3646.00,261,0\r\n2006-01-03,12:41:00,3646.00,3647.00,3646.00,3646.00,318,0\r\n2006-01-03,12:42:00,3647.00,3647.00,3646.00,3647.00,392,0\r\n2006-01-03,12:43:00,3647.00,3647.00,3647.00,3647.00,118,0\r\n2006-01-03,12:44:00,3647.00,3647.00,3646.00,3647.00,192,0\r\n2006-01-03,12:45:00,3646.00,3647.00,3646.00,3646.00,134,0\r\n2006-01-03,12:46:00,3647.00,3647.00,3646.00,3647.00,366,0\r\n2006-01-03,12:47:00,3646.00,3647.00,3646.00,3647.00,158,0\r\n2006-01-03,12:48:00,3647.00,3648.00,3647.00,3648.00,47,0\r\n2006-01-03,12:49:00,3647.00,3647.00,3647.00,3647.00,27,0\r\n2006-01-03,12:50:00,3647.00,3647.00,3647.00,3647.00,2,0\r\n2006-01-03,12:51:00,3647.00,3647.00,3647.00,3647.00,8,0\r\n2006-01-03,12:52:00,3647.00,3647.00,3647.00,3647.00,4,0\r\n2006-01-03,12:53:00,3647.00,3647.00,3647.00,3647.00,143,0\r\n2006-01-03,12:54:00,3648.00,3648.00,3647.00,3647.00,393,0\r\n2006-01-03,12:55:00,3647.00,3648.00,3647.00,3647.00,20,0\r\n2006-01-03,12:56:00,3648.00,3648.00,3647.00,3648.00,322,0\r\n2006-01-03,12:57:00,3647.00,3648.00,3647.00,3647.00,337,0\r\n2006-01-03,12:58:00,3647.00,3648.00,3647.00,3647.00,342,0\r\n2006-01-03,12:59:00,3647.00,3648.00,3646.00,3648.00,53,0\r\n2006-01-03,13:00:00,3648.00,3648.00,3647.00,3648.00,57,0\r\n2006-01-03,13:01:00,3647.00,3648.00,3647.00,3647.00,211,0\r\n2006-01-03,13:02:00,3648.00,3648.00,3647.00,3647.00,129,0\r\n2006-01-03,13:03:00,3647.00,3647.00,3646.00,3646.00,163,0\r\n2006-01-03,13:04:00,3647.00,3647.00,3647.00,3647.00,380,0\r\n2006-01-03,13:05:00,3647.00,3647.00,3647.00,3647.00,35,0\r\n2006-01-03,13:06:00,3648.00,3648.00,3646.00,3647.00,567,0\r\n2006-01-03,13:07:00,3647.00,3648.00,3647.00,3647.00,40,0\r\n2006-01-03,13:08:00,3647.00,3648.00,3647.00,3647.00,264,0\r\n2006-01-03,13:09:00,3647.00,3647.00,3647.00,3647.00,955,0\r\n2006-01-03,13:10:00,3647.00,3648.00,3647.00,3647.00,34,0\r\n2006-01-03,13:11:00,3647.00,3648.00,3647.00,3648.00,355,0\r\n2006-01-03,13:12:00,3648.00,3649.00,3647.00,3647.00,1258,0\r\n2006-01-03,13:13:00,3648.00,3648.00,3647.00,3647.00,9,0\r\n2006-01-03,13:14:00,3648.00,3648.00,3647.00,3647.00,60,0\r\n2006-01-03,13:15:00,3647.00,3648.00,3647.00,3648.00,532,0\r\n2006-01-03,13:16:00,3648.00,3648.00,3647.00,3647.00,172,0\r\n2006-01-03,13:17:00,3647.00,3647.00,3647.00,3647.00,92,0\r\n2006-01-03,13:18:00,3648.00,3648.00,3647.00,3648.00,43,0\r\n2006-01-03,13:19:00,3647.00,3648.00,3647.00,3647.00,55,0\r\n2006-01-03,13:20:00,3647.00,3647.00,3647.00,3647.00,101,0\r\n2006-01-03,13:21:00,3647.00,3647.00,3647.00,3647.00,229,0\r\n2006-01-03,13:23:00,3647.00,3647.00,3647.00,3647.00,10,0\r\n2006-01-03,13:24:00,3647.00,3647.00,3647.00,3647.00,220,0\r\n2006-01-03,13:25:00,3647.00,3647.00,3647.00,3647.00,4,0\r\n2006-01-03,13:26:00,3647.00,3648.00,3647.00,3647.00,70,0\r\n2006-01-03,13:27:00,3647.00,3648.00,3647.00,3648.00,241,0\r\n2006-01-03,13:28:00,3648.00,3648.00,3647.00,3647.00,4,0\r\n2006-01-03,13:29:00,3648.00,3648.00,3647.00,3647.00,16,0\r\n2006-01-03,13:30:00,3648.00,3648.00,3647.00,3648.00,142,0\r\n2006-01-03,13:31:00,3649.00,3649.00,3648.00,3648.00,9,0\r\n2006-01-03,13:32:00,3649.00,3650.00,3648.00,3649.00,1705,0\r\n2006-01-03,13:33:00,3649.00,3650.00,3649.00,3649.00,96,0\r\n2006-01-03,13:34:00,3649.00,3649.00,3648.00,3648.00,183,0\r\n2006-01-03,13:35:00,3649.00,3649.00,3648.00,3648.00,146,0\r\n2006-01-03,13:36:00,3648.00,3649.00,3648.00,3648.00,207,0\r\n2006-01-03,13:37:00,3648.00,3649.00,3647.00,3647.00,637,0\r\n2006-01-03,13:38:00,3647.00,3647.00,3647.00,3647.00,33,0\r\n2006-01-03,13:39:00,3647.00,3648.00,3647.00,3648.00,286,0\r\n2006-01-03,13:40:00,3647.00,3647.00,3647.00,3647.00,55,0\r\n2006-01-03,13:41:00,3647.00,3648.00,3647.00,3647.00,6,0\r\n2006-01-03,13:42:00,3647.00,3647.00,3647.00,3647.00,532,0\r\n2006-01-03,13:43:00,3647.00,3647.00,3647.00,3647.00,517,0\r\n2006-01-03,13:44:00,3647.00,3648.00,3647.00,3648.00,631,0\r\n2006-01-03,13:45:00,3648.00,3648.00,3647.00,3647.00,53,0\r\n2006-01-03,13:46:00,3647.00,3648.00,3647.00,3648.00,17,0\r\n2006-01-03,13:47:00,3648.00,3648.00,3647.00,3647.00,39,0\r\n2006-01-03,13:48:00,3648.00,3648.00,3647.00,3647.00,98,0\r\n2006-01-03,13:49:00,3647.00,3648.00,3647.00,3648.00,37,0\r\n2006-01-03,13:50:00,3647.00,3647.00,3647.00,3647.00,42,0\r\n2006-01-03,13:51:00,3648.00,3648.00,3647.00,3647.00,58,0\r\n2006-01-03,13:52:00,3648.00,3648.00,3647.00,3647.00,148,0\r\n2006-01-03,13:53:00,3648.00,3648.00,3647.00,3648.00,882,0\r\n2006-01-03,13:54:00,3648.00,3648.00,3647.00,3648.00,21,0\r\n2006-01-03,13:55:00,3648.00,3648.00,3647.00,3647.00,18,0\r\n2006-01-03,13:56:00,3648.00,3649.00,3647.00,3649.00,243,0\r\n2006-01-03,13:57:00,3649.00,3649.00,3649.00,3649.00,432,0\r\n2006-01-03,13:58:00,3649.00,3649.00,3649.00,3649.00,54,0\r\n2006-01-03,13:59:00,3649.00,3650.00,3649.00,3650.00,231,0\r\n2006-01-03,14:00:00,3649.00,3650.00,3649.00,3649.00,47,0\r\n2006-01-03,14:01:00,3649.00,3650.00,3649.00,3649.00,114,0\r\n2006-01-03,14:02:00,3649.00,3649.00,3649.00,3649.00,58,0\r\n2006-01-03,14:03:00,3650.00,3650.00,3649.00,3649.00,28,0\r\n2006-01-03,14:04:00,3650.00,3650.00,3649.00,3650.00,37,0\r\n2006-01-03,14:05:00,3650.00,3650.00,3649.00,3650.00,43,0\r\n2006-01-03,14:06:00,3649.00,3650.00,3649.00,3649.00,435,0\r\n2006-01-03,14:07:00,3649.00,3650.00,3649.00,3649.00,37,0\r\n2006-01-03,14:08:00,3649.00,3650.00,3649.00,3649.00,231,0\r\n2006-01-03,14:09:00,3650.00,3650.00,3649.00,3650.00,138,0\r\n2006-01-03,14:10:00,3650.00,3650.00,3649.00,3649.00,404,0\r\n2006-01-03,14:11:00,3649.00,3649.00,3649.00,3649.00,86,0\r\n2006-01-03,14:12:00,3649.00,3649.00,3649.00,3649.00,53,0\r\n2006-01-03,14:13:00,3650.00,3650.00,3649.00,3649.00,13,0\r\n2006-01-03,14:14:00,3649.00,3650.00,3648.00,3649.00,414,0\r\n2006-01-03,14:15:00,3648.00,3649.00,3647.00,3647.00,1038,0\r\n2006-01-03,14:16:00,3647.00,3648.00,3647.00,3647.00,481,0\r\n2006-01-03,14:17:00,3648.00,3648.00,3647.00,3648.00,297,0\r\n2006-01-03,14:18:00,3647.00,3648.00,3647.00,3647.00,26,0\r\n2006-01-03,14:19:00,3647.00,3648.00,3646.00,3646.00,249,0\r\n2006-01-03,14:20:00,3646.00,3647.00,3646.00,3646.00,358,0\r\n2006-01-03,14:21:00,3646.00,3646.00,3645.00,3645.00,880,0\r\n2006-01-03,14:22:00,3645.00,3646.00,3644.00,3645.00,2187,0\r\n2006-01-03,14:23:00,3645.00,3646.00,3645.00,3646.00,107,0\r\n2006-01-03,14:24:00,3646.00,3646.00,3645.00,3645.00,292,0\r\n2006-01-03,14:25:00,3646.00,3646.00,3645.00,3646.00,222,0\r\n2006-01-03,14:26:00,3646.00,3646.00,3646.00,3646.00,5,0\r\n2006-01-03,14:27:00,3646.00,3647.00,3646.00,3646.00,1016,0\r\n2006-01-03,14:28:00,3646.00,3646.00,3646.00,3646.00,1,0\r\n2006-01-03,14:29:00,3647.00,3647.00,3646.00,3646.00,7,0\r\n2006-01-03,14:30:00,3646.00,3646.00,3646.00,3646.00,207,0\r\n2006-01-03,14:31:00,3646.00,3646.00,3645.00,3645.00,476,0\r\n2006-01-03,14:32:00,3645.00,3646.00,3645.00,3645.00,366,0\r\n2006-01-03,14:33:00,3645.00,3647.00,3645.00,3647.00,701,0\r\n2006-01-03,14:34:00,3646.00,3647.00,3646.00,3647.00,421,0\r\n2006-01-03,14:35:00,3647.00,3647.00,3647.00,3647.00,74,0\r\n2006-01-03,14:36:00,3647.00,3647.00,3647.00,3647.00,23,0\r\n2006-01-03,14:37:00,3647.00,3647.00,3647.00,3647.00,13,0\r\n2006-01-03,14:38:00,3648.00,3648.00,3647.00,3647.00,11,0\r\n2006-01-03,14:39:00,3647.00,3647.00,3647.00,3647.00,121,0\r\n2006-01-03,14:40:00,3647.00,3648.00,3647.00,3647.00,331,0\r\n2006-01-03,14:41:00,3647.00,3648.00,3647.00,3648.00,93,0\r\n2006-01-03,14:42:00,3647.00,3648.00,3647.00,3647.00,15,0\r\n2006-01-03,14:43:00,3647.00,3648.00,3647.00,3647.00,102,0\r\n2006-01-03,14:44:00,3648.00,3649.00,3648.00,3648.00,486,0\r\n2006-01-03,14:45:00,3648.00,3649.00,3648.00,3649.00,82,0\r\n2006-01-03,14:46:00,3649.00,3649.00,3648.00,3649.00,114,0\r\n2006-01-03,14:47:00,3648.00,3649.00,3648.00,3648.00,536,0\r\n2006-01-03,14:48:00,3648.00,3648.00,3648.00,3648.00,1,0\r\n2006-01-03,14:49:00,3649.00,3649.00,3648.00,3649.00,156,0\r\n2006-01-03,14:50:00,3649.00,3650.00,3648.00,3650.00,287,0\r\n2006-01-03,14:51:00,3649.00,3650.00,3649.00,3650.00,254,0\r\n2006-01-03,14:52:00,3649.00,3649.00,3648.00,3648.00,297,0\r\n2006-01-03,14:53:00,3648.00,3649.00,3648.00,3648.00,95,0\r\n2006-01-03,14:54:00,3648.00,3649.00,3648.00,3648.00,192,0\r\n2006-01-03,14:55:00,3648.00,3648.00,3648.00,3648.00,84,0\r\n2006-01-03,14:56:00,3649.00,3649.00,3648.00,3649.00,44,0\r\n2006-01-03,14:57:00,3648.00,3649.00,3648.00,3649.00,160,0\r\n2006-01-03,14:58:00,3648.00,3649.00,3648.00,3648.00,119,0\r\n2006-01-03,14:59:00,3648.00,3649.00,3648.00,3649.00,41,0\r\n2006-01-03,15:00:00,3648.00,3649.00,3648.00,3649.00,9,0\r\n2006-01-03,15:01:00,3649.00,3649.00,3648.00,3649.00,1884,0\r\n2006-01-03,15:02:00,3649.00,3649.00,3647.00,3648.00,2232,0\r\n2006-01-03,15:03:00,3647.00,3648.00,3647.00,3647.00,25,0\r\n2006-01-03,15:04:00,3648.00,3648.00,3647.00,3647.00,610,0\r\n2006-01-03,15:05:00,3647.00,3648.00,3647.00,3647.00,17,0\r\n2006-01-03,15:06:00,3647.00,3648.00,3647.00,3647.00,10,0\r\n2006-01-03,15:07:00,3648.00,3648.00,3647.00,3648.00,132,0\r\n2006-01-03,15:08:00,3648.00,3648.00,3647.00,3647.00,8527,0\r\n2006-01-03,15:09:00,3648.00,3648.00,3647.00,3648.00,199,0\r\n2006-01-03,15:10:00,3648.00,3649.00,3648.00,3648.00,315,0\r\n2006-01-03,15:11:00,3649.00,3649.00,3648.00,3649.00,1008,0\r\n2006-01-03,15:12:00,3649.00,3649.00,3648.00,3648.00,244,0\r\n2006-01-03,15:13:00,3648.00,3648.00,3647.00,3647.00,350,0\r\n2006-01-03,15:14:00,3647.00,3648.00,3647.00,3648.00,206,0\r\n2006-01-03,15:15:00,3648.00,3648.00,3647.00,3648.00,1876,0\r\n2006-01-03,15:16:00,3648.00,3648.00,3647.00,3647.00,38,0\r\n2006-01-03,15:17:00,3647.00,3647.00,3646.00,3647.00,456,0\r\n2006-01-03,15:18:00,3648.00,3648.00,3647.00,3647.00,207,0\r\n2006-01-03,15:19:00,3647.00,3648.00,3647.00,3647.00,45,0\r\n2006-01-03,15:20:00,3648.00,3648.00,3647.00,3648.00,70,0\r\n2006-01-03,15:21:00,3648.00,3648.00,3646.00,3647.00,218,0\r\n2006-01-03,15:22:00,3646.00,3648.00,3646.00,3648.00,264,0\r\n2006-01-03,15:23:00,3647.00,3648.00,3647.00,3648.00,450,0\r\n2006-01-03,15:24:00,3648.00,3648.00,3647.00,3647.00,738,0\r\n2006-01-03,15:25:00,3647.00,3647.00,3647.00,3647.00,54,0\r\n2006-01-03,15:26:00,3647.00,3648.00,3647.00,3647.00,50,0\r\n2006-01-03,15:27:00,3647.00,3647.00,3646.00,3647.00,291,0\r\n2006-01-03,15:28:00,3646.00,3647.00,3646.00,3646.00,331,0\r\n2006-01-03,15:29:00,3646.00,3647.00,3646.00,3646.00,74,0\r\n2006-01-03,15:30:00,3647.00,3647.00,3646.00,3646.00,584,0\r\n2006-01-03,15:31:00,3646.00,3647.00,3646.00,3646.00,348,0\r\n2006-01-03,15:32:00,3648.00,3649.00,3648.00,3649.00,607,0\r\n2006-01-03,15:33:00,3648.00,3648.00,3647.00,3647.00,906,0\r\n2006-01-03,15:34:00,3647.00,3647.00,3646.00,3647.00,561,0\r\n2006-01-03,15:35:00,3646.00,3647.00,3645.00,3646.00,710,0\r\n2006-01-03,15:36:00,3646.00,3646.00,3644.00,3645.00,630,0\r\n2006-01-03,15:37:00,3645.00,3646.00,3644.00,3645.00,875,0\r\n2006-01-03,15:38:00,3645.00,3646.00,3644.00,3644.00,714,0\r\n2006-01-03,15:39:00,3644.00,3645.00,3644.00,3644.00,1396,0\r\n2006-01-03,15:40:00,3644.00,3645.00,3642.00,3643.00,3366,0\r\n2006-01-03,15:41:00,3643.00,3645.00,3643.00,3644.00,1268,0\r\n2006-01-03,15:42:00,3644.00,3646.00,3644.00,3645.00,1490,0\r\n2006-01-03,15:43:00,3645.00,3646.00,3645.00,3646.00,582,0\r\n2006-01-03,15:44:00,3645.00,3646.00,3644.00,3646.00,320,0\r\n2006-01-03,15:45:00,3646.00,3647.00,3645.00,3646.00,1311,0\r\n2006-01-03,15:46:00,3645.00,3646.00,3645.00,3645.00,894,0\r\n2006-01-03,15:47:00,3645.00,3645.00,3643.00,3643.00,994,0\r\n2006-01-03,15:48:00,3644.00,3644.00,3643.00,3644.00,488,0\r\n2006-01-03,15:49:00,3644.00,3646.00,3644.00,3645.00,1589,0\r\n2006-01-03,15:50:00,3645.00,3646.00,3644.00,3644.00,919,0\r\n2006-01-03,15:51:00,3644.00,3645.00,3643.00,3645.00,340,0\r\n2006-01-03,15:52:00,3645.00,3645.00,3644.00,3645.00,1505,0\r\n2006-01-03,15:53:00,3645.00,3645.00,3643.00,3644.00,304,0\r\n2006-01-03,15:54:00,3643.00,3644.00,3642.00,3642.00,1897,0\r\n2006-01-03,15:55:00,3642.00,3643.00,3641.00,3641.00,1687,0\r\n2006-01-03,15:56:00,3641.00,3643.00,3641.00,3642.00,2386,0\r\n2006-01-03,15:57:00,3641.00,3642.00,3641.00,3642.00,1747,0\r\n2006-01-03,15:58:00,3642.00,3643.00,3641.00,3642.00,959,0\r\n2006-01-03,15:59:00,3643.00,3643.00,3642.00,3643.00,633,0\r\n2006-01-03,16:00:00,3643.00,3643.00,3641.00,3642.00,776,0\r\n2006-01-03,16:01:00,3642.00,3642.00,3639.00,3641.00,8347,0\r\n2006-01-03,16:02:00,3641.00,3641.00,3640.00,3640.00,2566,0\r\n2006-01-03,16:03:00,3640.00,3641.00,3639.00,3640.00,3803,0\r\n2006-01-03,16:04:00,3640.00,3640.00,3637.00,3637.00,4687,0\r\n2006-01-03,16:05:00,3637.00,3638.00,3635.00,3636.00,2807,0\r\n2006-01-03,16:06:00,3636.00,3637.00,3635.00,3637.00,3012,0\r\n2006-01-03,16:07:00,3637.00,3639.00,3635.00,3639.00,4251,0\r\n2006-01-03,16:08:00,3639.00,3639.00,3636.00,3637.00,3245,0\r\n2006-01-03,16:09:00,3637.00,3637.00,3633.00,3634.00,2193,0\r\n2006-01-03,16:10:00,3633.00,3635.00,3633.00,3633.00,1603,0\r\n2006-01-03,16:11:00,3633.00,3635.00,3632.00,3633.00,3835,0\r\n2006-01-03,16:12:00,3632.00,3633.00,3630.00,3631.00,5347,0\r\n2006-01-03,16:13:00,3631.00,3632.00,3629.00,3630.00,2273,0\r\n2006-01-03,16:14:00,3631.00,3631.00,3630.00,3630.00,3133,0\r\n2006-01-03,16:15:00,3631.00,3631.00,3629.00,3630.00,2504,0\r\n2006-01-03,16:16:00,3629.00,3631.00,3628.00,3630.00,2934,0\r\n2006-01-03,16:17:00,3630.00,3631.00,3629.00,3631.00,1414,0\r\n2006-01-03,16:18:00,3631.00,3632.00,3630.00,3631.00,709,0\r\n2006-01-03,16:19:00,3630.00,3631.00,3630.00,3631.00,2677,0\r\n2006-01-03,16:20:00,3631.00,3634.00,3631.00,3634.00,2399,0\r\n2006-01-03,16:21:00,3634.00,3634.00,3633.00,3633.00,1797,0\r\n2006-01-03,16:22:00,3634.00,3634.00,3632.00,3633.00,980,0\r\n2006-01-03,16:23:00,3632.00,3632.00,3630.00,3630.00,2548,0\r\n2006-01-03,16:24:00,3631.00,3632.00,3629.00,3630.00,2995,0\r\n2006-01-03,16:25:00,3630.00,3631.00,3628.00,3628.00,3438,0\r\n2006-01-03,16:26:00,3628.00,3629.00,3625.00,3625.00,3479,0\r\n2006-01-03,16:27:00,3625.00,3626.00,3624.00,3625.00,2929,0\r\n2006-01-03,16:28:00,3624.00,3625.00,3623.00,3623.00,2409,0\r\n2006-01-03,16:29:00,3623.00,3624.00,3622.00,3624.00,2651,0\r\n2006-01-03,16:30:00,3624.00,3625.00,3623.00,3624.00,2128,0\r\n2006-01-03,16:31:00,3624.00,3625.00,3623.00,3624.00,3409,0\r\n2006-01-03,16:32:00,3623.00,3624.00,3620.00,3620.00,4047,0\r\n2006-01-03,16:33:00,3620.00,3620.00,3616.00,3617.00,6479,0\r\n2006-01-03,16:34:00,3616.00,3618.00,3616.00,3618.00,4193,0\r\n2006-01-03,16:35:00,3618.00,3618.00,3616.00,3616.00,2142,0\r\n2006-01-03,16:36:00,3616.00,3616.00,3614.00,3614.00,4977,0\r\n2006-01-03,16:37:00,3614.00,3616.00,3614.00,3616.00,2403,0\r\n2006-01-03,16:38:00,3615.00,3616.00,3614.00,3614.00,3927,0\r\n2006-01-03,16:39:00,3615.00,3616.00,3614.00,3616.00,3214,0\r\n2006-01-03,16:40:00,3615.00,3616.00,3614.00,3616.00,2242,0\r\n2006-01-03,16:41:00,3616.00,3618.00,3616.00,3617.00,1581,0\r\n2006-01-03,16:42:00,3618.00,3619.00,3616.00,3619.00,2554,0\r\n2006-01-03,16:43:00,3619.00,3622.00,3618.00,3621.00,3480,0\r\n2006-01-03,16:44:00,3621.00,3622.00,3620.00,3622.00,1804,0\r\n2006-01-03,16:45:00,3621.00,3622.00,3619.00,3620.00,1726,0\r\n2006-01-03,16:46:00,3621.00,3621.00,3620.00,3620.00,273,0\r\n2006-01-03,16:47:00,3620.00,3621.00,3620.00,3621.00,904,0\r\n2006-01-03,16:48:00,3621.00,3622.00,3620.00,3621.00,1583,0\r\n2006-01-03,16:49:00,3622.00,3623.00,3621.00,3623.00,1828,0\r\n2006-01-03,16:50:00,3623.00,3624.00,3623.00,3624.00,961,0\r\n2006-01-03,16:51:00,3624.00,3624.00,3623.00,3624.00,1775,0\r\n2006-01-03,16:52:00,3624.00,3625.00,3623.00,3624.00,917,0\r\n2006-01-03,16:53:00,3624.00,3625.00,3624.00,3624.00,3159,0\r\n2006-01-03,16:54:00,3624.00,3626.00,3624.00,3626.00,1673,0\r\n2006-01-03,16:55:00,3625.00,3626.00,3625.00,3625.00,852,0\r\n2006-01-03,16:56:00,3625.00,3626.00,3624.00,3625.00,692,0\r\n2006-01-03,16:57:00,3625.00,3627.00,3625.00,3626.00,2881,0\r\n2006-01-03,16:58:00,3626.00,3626.00,3624.00,3624.00,2061,0\r\n2006-01-03,16:59:00,3623.00,3624.00,3621.00,3621.00,2013,0\r\n2006-01-03,17:00:00,3622.00,3624.00,3621.00,3623.00,1852,0\r\n2006-01-03,17:01:00,3624.00,3625.00,3622.00,3624.00,1896,0\r\n2006-01-03,17:02:00,3624.00,3624.00,3623.00,3623.00,640,0\r\n2006-01-03,17:03:00,3623.00,3624.00,3623.00,3624.00,1775,0\r\n2006-01-03,17:04:00,3624.00,3625.00,3623.00,3623.00,1846,0\r\n2006-01-03,17:05:00,3623.00,3623.00,3618.00,3618.00,3173,0\r\n2006-01-03,17:06:00,3618.00,3619.00,3617.00,3618.00,1607,0\r\n2006-01-03,17:07:00,3618.00,3619.00,3617.00,3617.00,2652,0\r\n2006-01-03,17:08:00,3618.00,3618.00,3616.00,3617.00,1494,0\r\n2006-01-03,17:09:00,3616.00,3619.00,3616.00,3618.00,1427,0\r\n2006-01-03,17:10:00,3618.00,3621.00,3618.00,3621.00,1911,0\r\n2006-01-03,17:11:00,3620.00,3621.00,3619.00,3620.00,905,0\r\n2006-01-03,17:12:00,3619.00,3620.00,3618.00,3619.00,676,0\r\n2006-01-03,17:13:00,3619.00,3619.00,3618.00,3618.00,634,0\r\n2006-01-03,17:14:00,3618.00,3619.00,3618.00,3619.00,533,0\r\n2006-01-03,17:15:00,3619.00,3621.00,3618.00,3620.00,1134,0\r\n2006-01-03,17:16:00,3620.00,3620.00,3619.00,3619.00,537,0\r\n2006-01-03,17:17:00,3619.00,3621.00,3619.00,3620.00,2062,0\r\n2006-01-03,17:18:00,3621.00,3624.00,3620.00,3623.00,2672,0\r\n2006-01-03,17:19:00,3623.00,3624.00,3622.00,3623.00,1070,0\r\n2006-01-03,17:20:00,3623.00,3624.00,3622.00,3623.00,981,0\r\n2006-01-03,17:21:00,3622.00,3623.00,3622.00,3622.00,332,0\r\n2006-01-03,17:22:00,3622.00,3622.00,3621.00,3621.00,809,0\r\n2006-01-03,17:23:00,3622.00,3622.00,3620.00,3621.00,1037,0\r\n2006-01-03,17:24:00,3621.00,3622.00,3620.00,3622.00,649,0\r\n2006-01-03,17:25:00,3621.00,3622.00,3621.00,3621.00,939,0\r\n2006-01-03,17:26:00,3621.00,3622.00,3620.00,3621.00,909,0\r\n2006-01-03,17:27:00,3621.00,3621.00,3620.00,3621.00,659,0\r\n2006-01-03,17:28:00,3621.00,3622.00,3621.00,3622.00,707,0\r\n2006-01-03,17:29:00,3622.00,3623.00,3621.00,3623.00,1607,0\r\n2006-01-03,17:30:00,3623.00,3625.00,3623.00,3625.00,2379,0\r\n2006-01-03,17:31:00,3625.00,3627.00,3624.00,3625.00,3125,0\r\n2006-01-03,17:32:00,3626.00,3626.00,3625.00,3626.00,725,0\r\n2006-01-03,17:33:00,3626.00,3626.00,3625.00,3626.00,2300,0\r\n2006-01-03,17:34:00,3625.00,3627.00,3625.00,3627.00,1917,0\r\n2006-01-03,17:35:00,3627.00,3628.00,3626.00,3628.00,580,0\r\n2006-01-03,17:36:00,3627.00,3629.00,3627.00,3628.00,2260,0\r\n2006-01-03,17:37:00,3629.00,3630.00,3629.00,3630.00,1996,0\r\n2006-01-03,17:38:00,3630.00,3632.00,3630.00,3631.00,2152,0\r\n2006-01-03,17:39:00,3631.00,3632.00,3631.00,3631.00,742,0\r\n2006-01-03,17:40:00,3631.00,3631.00,3630.00,3630.00,476,0\r\n2006-01-03,17:41:00,3631.00,3631.00,3630.00,3630.00,595,0\r\n2006-01-03,17:42:00,3629.00,3630.00,3629.00,3630.00,782,0\r\n2006-01-03,17:43:00,3630.00,3630.00,3628.00,3628.00,555,0\r\n2006-01-03,17:44:00,3628.00,3628.00,3627.00,3628.00,619,0\r\n2006-01-03,17:45:00,3628.00,3629.00,3628.00,3628.00,355,0\r\n2006-01-03,17:46:00,3628.00,3630.00,3628.00,3629.00,483,0\r\n2006-01-03,17:47:00,3629.00,3629.00,3629.00,3629.00,62,0\r\n2006-01-03,17:48:00,3629.00,3629.00,3627.00,3627.00,206,0\r\n2006-01-03,17:49:00,3627.00,3627.00,3626.00,3627.00,478,0\r\n2006-01-03,17:50:00,3626.00,3627.00,3626.00,3627.00,373,0\r\n2006-01-03,17:51:00,3626.00,3627.00,3625.00,3626.00,7376,0\r\n2006-01-03,17:52:00,3626.00,3627.00,3626.00,3627.00,512,0\r\n2006-01-03,17:53:00,3626.00,3628.00,3626.00,3628.00,739,0\r\n2006-01-03,17:54:00,3628.00,3629.00,3628.00,3629.00,565,0\r\n2006-01-03,17:55:00,3629.00,3629.00,3628.00,3628.00,73,0\r\n2006-01-03,17:56:00,3629.00,3629.00,3628.00,3628.00,120,0\r\n2006-01-03,17:57:00,3629.00,3629.00,3628.00,3628.00,146,0\r\n2006-01-03,17:58:00,3628.00,3628.00,3627.00,3628.00,699,0\r\n2006-01-03,17:59:00,3629.00,3630.00,3629.00,3630.00,195,0\r\n2006-01-03,18:00:00,3630.00,3632.00,3630.00,3632.00,1587,0\r\n2006-01-03,18:01:00,3633.00,3634.00,3632.00,3633.00,764,0\r\n2006-01-03,18:02:00,3633.00,3634.00,3633.00,3633.00,553,0\r\n2006-01-03,18:03:00,3633.00,3633.00,3632.00,3632.00,247,0\r\n2006-01-03,18:04:00,3632.00,3633.00,3632.00,3632.00,689,0\r\n2006-01-03,18:05:00,3631.00,3632.00,3631.00,3632.00,457,0\r\n2006-01-03,18:06:00,3633.00,3633.00,3633.00,3633.00,2817,0\r\n2006-01-03,18:07:00,3632.00,3632.00,3632.00,3632.00,767,0\r\n2006-01-03,18:08:00,3632.00,3632.00,3632.00,3632.00,286,0\r\n2006-01-03,18:09:00,3632.00,3632.00,3631.00,3631.00,238,0\r\n2006-01-03,18:10:00,3632.00,3635.00,3632.00,3635.00,1399,0\r\n2006-01-03,18:11:00,3636.00,3636.00,3635.00,3636.00,1376,0\r\n2006-01-03,18:12:00,3635.00,3636.00,3635.00,3635.00,523,0\r\n2006-01-03,18:13:00,3634.00,3636.00,3634.00,3636.00,649,0\r\n2006-01-03,18:14:00,3635.00,3636.00,3635.00,3636.00,73,0\r\n2006-01-03,18:15:00,3635.00,3636.00,3635.00,3635.00,620,0\r\n2006-01-03,18:16:00,3635.00,3635.00,3634.00,3634.00,152,0\r\n2006-01-03,18:17:00,3635.00,3635.00,3634.00,3634.00,122,0\r\n2006-01-03,18:18:00,3635.00,3635.00,3634.00,3634.00,415,0\r\n2006-01-03,18:19:00,3634.00,3634.00,3633.00,3634.00,34,0\r\n2006-01-03,18:20:00,3633.00,3633.00,3633.00,3633.00,110,0\r\n2006-01-03,18:21:00,3632.00,3633.00,3632.00,3632.00,352,0\r\n2006-01-03,18:22:00,3632.00,3632.00,3631.00,3631.00,135,0\r\n2006-01-03,18:23:00,3631.00,3631.00,3630.00,3630.00,162,0\r\n2006-01-03,18:24:00,3631.00,3631.00,3630.00,3631.00,492,0\r\n2006-01-03,18:26:00,3631.00,3633.00,3631.00,3632.00,281,0\r\n2006-01-03,18:27:00,3632.00,3632.00,3632.00,3632.00,233,0\r\n2006-01-03,18:28:00,3631.00,3633.00,3631.00,3633.00,200,0\r\n2006-01-03,18:29:00,3633.00,3634.00,3633.00,3633.00,499,0\r\n2006-01-03,18:30:00,3633.00,3633.00,3632.00,3632.00,163,0\r\n2006-01-03,18:31:00,3632.00,3632.00,3631.00,3631.00,480,0\r\n2006-01-03,18:32:00,3631.00,3631.00,3628.00,3630.00,680,0\r\n2006-01-03,18:33:00,3630.00,3630.00,3628.00,3629.00,364,0\r\n2006-01-03,18:34:00,3629.00,3632.00,3629.00,3632.00,910,0\r\n2006-01-03,18:35:00,3632.00,3634.00,3632.00,3634.00,352,0\r\n2006-01-03,18:36:00,3634.00,3634.00,3633.00,3633.00,73,0\r\n2006-01-03,18:37:00,3633.00,3634.00,3633.00,3634.00,225,0\r\n2006-01-03,18:38:00,3634.00,3634.00,3634.00,3634.00,208,0\r\n2006-01-03,18:39:00,3634.00,3634.00,3633.00,3634.00,368,0\r\n2006-01-03,18:40:00,3634.00,3634.00,3634.00,3634.00,14,0\r\n2006-01-03,18:41:00,3634.00,3634.00,3632.00,3633.00,410,0\r\n2006-01-03,18:42:00,3633.00,3634.00,3632.00,3633.00,143,0\r\n2006-01-03,18:43:00,3633.00,3633.00,3632.00,3633.00,281,0\r\n2006-01-03,18:44:00,3633.00,3634.00,3633.00,3634.00,251,0\r\n2006-01-03,18:45:00,3633.00,3633.00,3633.00,3633.00,141,0\r\n2006-01-03,18:46:00,3633.00,3634.00,3633.00,3634.00,19,0\r\n2006-01-03,18:47:00,3633.00,3635.00,3633.00,3635.00,258,0\r\n2006-01-03,18:48:00,3635.00,3635.00,3634.00,3634.00,151,0\r\n2006-01-03,18:49:00,3634.00,3635.00,3634.00,3635.00,89,0\r\n2006-01-03,18:50:00,3635.00,3636.00,3635.00,3636.00,631,0\r\n2006-01-03,18:51:00,3636.00,3636.00,3635.00,3635.00,110,0\r\n2006-01-03,18:52:00,3636.00,3636.00,3636.00,3636.00,124,0\r\n2006-01-03,18:53:00,3636.00,3636.00,3635.00,3635.00,150,0\r\n2006-01-03,18:54:00,3635.00,3635.00,3635.00,3635.00,63,0\r\n2006-01-03,18:55:00,3635.00,3636.00,3635.00,3636.00,168,0\r\n2006-01-03,18:56:00,3635.00,3636.00,3635.00,3636.00,63,0\r\n2006-01-03,18:57:00,3636.00,3637.00,3636.00,3636.00,215,0\r\n2006-01-03,18:58:00,3636.00,3636.00,3635.00,3636.00,202,0\r\n2006-01-03,18:59:00,3635.00,3635.00,3635.00,3635.00,251,0\r\n2006-01-03,19:00:00,3635.00,3636.00,3635.00,3636.00,83,0\r\n2006-01-03,19:01:00,3636.00,3637.00,3635.00,3635.00,327,0\r\n2006-01-03,19:02:00,3635.00,3635.00,3635.00,3635.00,30,0\r\n2006-01-03,19:03:00,3635.00,3635.00,3635.00,3635.00,184,0\r\n2006-01-03,19:04:00,3635.00,3635.00,3634.00,3635.00,289,0\r\n2006-01-03,19:05:00,3635.00,3636.00,3635.00,3635.00,165,0\r\n2006-01-03,19:06:00,3635.00,3635.00,3635.00,3635.00,34,0\r\n2006-01-03,19:07:00,3635.00,3635.00,3634.00,3635.00,65,0\r\n2006-01-03,19:08:00,3635.00,3635.00,3634.00,3635.00,44,0\r\n2006-01-03,19:10:00,3635.00,3635.00,3634.00,3634.00,12,0\r\n2006-01-03,19:12:00,3635.00,3635.00,3634.00,3634.00,14,0\r\n2006-01-03,19:13:00,3634.00,3634.00,3633.00,3633.00,608,0\r\n2006-01-03,19:14:00,3632.00,3632.00,3632.00,3632.00,2,0\r\n2006-01-03,19:15:00,3633.00,3633.00,3633.00,3633.00,345,0\r\n2006-01-03,19:16:00,3632.00,3634.00,3632.00,3634.00,125,0\r\n2006-01-03,19:17:00,3634.00,3634.00,3634.00,3634.00,192,0\r\n2006-01-03,19:18:00,3634.00,3634.00,3634.00,3634.00,1,0\r\n2006-01-03,19:19:00,3634.00,3634.00,3634.00,3634.00,2,0\r\n2006-01-03,19:20:00,3634.00,3634.00,3634.00,3634.00,7,0\r\n2006-01-03,19:21:00,3634.00,3634.00,3634.00,3634.00,26,0\r\n2006-01-03,19:22:00,3634.00,3634.00,3633.00,3633.00,8,0\r\n2006-01-03,19:23:00,3633.00,3634.00,3633.00,3633.00,230,0\r\n2006-01-03,19:24:00,3634.00,3634.00,3633.00,3633.00,133,0\r\n2006-01-03,19:26:00,3633.00,3633.00,3633.00,3633.00,17,0\r\n2006-01-03,19:27:00,3633.00,3633.00,3633.00,3633.00,3,0\r\n2006-01-03,19:28:00,3633.00,3634.00,3633.00,3634.00,74,0\r\n2006-01-03,19:29:00,3634.00,3635.00,3634.00,3635.00,34,0\r\n2006-01-03,19:30:00,3634.00,3634.00,3634.00,3634.00,86,0\r\n2006-01-03,19:31:00,3633.00,3633.00,3633.00,3633.00,1,0\r\n2006-01-03,19:33:00,3633.00,3633.00,3633.00,3633.00,2,0\r\n2006-01-03,19:34:00,3634.00,3634.00,3634.00,3634.00,60,0\r\n2006-01-03,19:35:00,3633.00,3633.00,3633.00,3633.00,5,0\r\n2006-01-03,19:36:00,3633.00,3633.00,3633.00,3633.00,354,0\r\n2006-01-03,19:37:00,3633.00,3634.00,3633.00,3633.00,155,0\r\n2006-01-03,19:38:00,3635.00,3635.00,3634.00,3634.00,289,0\r\n2006-01-03,19:39:00,3635.00,3635.00,3635.00,3635.00,22,0\r\n2006-01-03,19:40:00,3635.00,3636.00,3635.00,3636.00,79,0\r\n2006-01-03,19:41:00,3636.00,3636.00,3635.00,3635.00,132,0\r\n2006-01-03,19:42:00,3636.00,3636.00,3635.00,3636.00,45,0\r\n2006-01-03,19:43:00,3635.00,3636.00,3635.00,3635.00,18,0\r\n2006-01-03,19:44:00,3635.00,3635.00,3635.00,3635.00,74,0\r\n2006-01-03,19:45:00,3634.00,3635.00,3634.00,3634.00,9,0\r\n2006-01-03,19:46:00,3634.00,3634.00,3634.00,3634.00,2,0\r\n2006-01-03,19:47:00,3634.00,3635.00,3634.00,3635.00,51,0\r\n2006-01-03,19:48:00,3635.00,3636.00,3635.00,3636.00,79,0\r\n2006-01-03,19:49:00,3637.00,3638.00,3637.00,3637.00,209,0\r\n2006-01-03,19:50:00,3637.00,3637.00,3636.00,3636.00,129,0\r\n2006-01-03,19:51:00,3636.00,3636.00,3635.00,3636.00,20,0\r\n2006-01-03,19:52:00,3636.00,3636.00,3636.00,3636.00,5,0\r\n2006-01-03,19:54:00,3636.00,3636.00,3636.00,3636.00,5,0\r\n2006-01-03,19:55:00,3635.00,3636.00,3635.00,3635.00,14,0\r\n2006-01-03,19:56:00,3635.00,3635.00,3635.00,3635.00,12,0\r\n2006-01-03,19:57:00,3636.00,3636.00,3635.00,3635.00,29,0\r\n2006-01-03,19:58:00,3635.00,3636.00,3635.00,3636.00,14,0\r\n2006-01-03,19:59:00,3636.00,3636.00,3636.00,3636.00,2,0\r\n2006-01-03,20:00:00,3636.00,3636.00,3635.00,3635.00,12,0\r\n2006-01-03,20:01:00,3635.00,3640.00,3635.00,3639.00,728,0\r\n2006-01-03,20:02:00,3639.00,3640.00,3639.00,3639.00,650,0\r\n2006-01-03,20:03:00,3639.00,3640.00,3639.00,3639.00,200,0\r\n2006-01-03,20:04:00,3639.00,3640.00,3639.00,3640.00,69,0\r\n2006-01-03,20:05:00,3640.00,3643.00,3640.00,3642.00,1052,0\r\n2006-01-03,20:06:00,3643.00,3645.00,3643.00,3644.00,1297,0\r\n2006-01-03,20:07:00,3644.00,3644.00,3643.00,3643.00,67,0\r\n2006-01-03,20:08:00,3643.00,3644.00,3642.00,3644.00,228,0\r\n2006-01-03,20:09:00,3644.00,3644.00,3642.00,3644.00,294,0\r\n2006-01-03,20:10:00,3645.00,3645.00,3644.00,3645.00,572,0\r\n2006-01-03,20:11:00,3645.00,3648.00,3645.00,3648.00,478,0\r\n2006-01-03,20:12:00,3647.00,3648.00,3646.00,3647.00,323,0\r\n2006-01-03,20:13:00,3648.00,3648.00,3646.00,3646.00,123,0\r\n2006-01-03,20:14:00,3645.00,3646.00,3645.00,3645.00,28,0\r\n2006-01-03,20:15:00,3645.00,3645.00,3642.00,3642.00,150,0\r\n2006-01-03,20:16:00,3642.00,3642.00,3641.00,3642.00,56,0\r\n2006-01-03,20:17:00,3642.00,3644.00,3642.00,3644.00,85,0\r\n2006-01-03,20:18:00,3645.00,3646.00,3645.00,3646.00,72,0\r\n2006-01-03,20:19:00,3646.00,3647.00,3645.00,3647.00,177,0\r\n2006-01-03,20:20:00,3647.00,3648.00,3646.00,3646.00,110,0\r\n2006-01-03,20:21:00,3645.00,3646.00,3644.00,3646.00,77,0\r\n2006-01-03,20:22:00,3647.00,3648.00,3646.00,3646.00,87,0\r\n2006-01-03,20:23:00,3645.00,3645.00,3644.00,3644.00,86,0\r\n2006-01-03,20:24:00,3643.00,3643.00,3642.00,3643.00,30,0\r\n2006-01-03,20:25:00,3644.00,3644.00,3643.00,3643.00,26,0\r\n2006-01-03,20:26:00,3644.00,3646.00,3644.00,3645.00,109,0\r\n2006-01-03,20:27:00,3644.00,3645.00,3644.00,3645.00,54,0\r\n2006-01-03,20:28:00,3646.00,3647.00,3646.00,3647.00,82,0\r\n2006-01-03,20:29:00,3647.00,3647.00,3646.00,3646.00,76,0\r\n2006-01-03,20:30:00,3645.00,3645.00,3644.00,3644.00,212,0\r\n2006-01-03,20:31:00,3644.00,3647.00,3643.00,3647.00,262,0\r\n2006-01-03,20:32:00,3647.00,3647.00,3646.00,3647.00,99,0\r\n2006-01-03,20:33:00,3646.00,3649.00,3646.00,3649.00,143,0\r\n2006-01-03,20:34:00,3648.00,3648.00,3647.00,3647.00,19,0\r\n2006-01-03,20:35:00,3647.00,3648.00,3646.00,3648.00,174,0\r\n2006-01-03,20:36:00,3649.00,3649.00,3648.00,3648.00,141,0\r\n2006-01-03,20:37:00,3649.00,3650.00,3648.00,3649.00,140,0\r\n2006-01-03,20:38:00,3648.00,3649.00,3648.00,3649.00,234,0\r\n2006-01-03,20:39:00,3648.00,3648.00,3648.00,3648.00,271,0\r\n2006-01-03,20:40:00,3648.00,3648.00,3648.00,3648.00,263,0\r\n2006-01-03,20:41:00,3648.00,3649.00,3648.00,3649.00,58,0\r\n2006-01-03,20:42:00,3649.00,3649.00,3649.00,3649.00,1,0\r\n2006-01-03,20:43:00,3649.00,3650.00,3649.00,3649.00,211,0\r\n2006-01-03,20:44:00,3649.00,3650.00,3649.00,3649.00,305,0\r\n2006-01-03,20:45:00,3650.00,3650.00,3650.00,3650.00,33,0\r\n2006-01-03,20:46:00,3650.00,3650.00,3650.00,3650.00,16,0\r\n2006-01-03,20:47:00,3650.00,3650.00,3650.00,3650.00,11,0\r\n2006-01-03,20:48:00,3649.00,3649.00,3649.00,3649.00,2,0\r\n2006-01-03,20:49:00,3649.00,3650.00,3649.00,3650.00,158,0\r\n2006-01-03,20:50:00,3650.00,3650.00,3649.00,3650.00,26,0\r\n2006-01-03,20:51:00,3650.00,3650.00,3649.00,3649.00,117,0\r\n2006-01-03,20:52:00,3649.00,3650.00,3649.00,3650.00,160,0\r\n2006-01-03,20:53:00,3651.00,3651.00,3651.00,3651.00,8,0\r\n2006-01-03,20:54:00,3651.00,3651.00,3651.00,3651.00,36,0\r\n2006-01-03,20:55:00,3650.00,3650.00,3650.00,3650.00,8,0\r\n2006-01-03,20:56:00,3650.00,3651.00,3650.00,3650.00,205,0\r\n2006-01-03,20:57:00,3650.00,3651.00,3650.00,3651.00,34,0\r\n2006-01-03,20:58:00,3651.00,3652.00,3651.00,3652.00,660,0\r\n2006-01-03,20:59:00,3652.00,3654.00,3652.00,3653.00,455,0\r\n2006-01-03,21:00:00,3653.00,3653.00,3652.00,3652.00,105,0\r\n2006-01-03,21:01:00,3653.00,3656.00,3653.00,3655.00,709,0\r\n2006-01-03,21:02:00,3655.00,3658.00,3655.00,3657.00,456,0\r\n2006-01-03,21:03:00,3658.00,3658.00,3657.00,3657.00,571,0\r\n2006-01-03,21:04:00,3658.00,3658.00,3657.00,3657.00,113,0\r\n2006-01-03,21:05:00,3657.00,3659.00,3657.00,3658.00,145,0\r\n2006-01-03,21:06:00,3659.00,3662.00,3659.00,3661.00,808,0\r\n2006-01-03,21:07:00,3661.00,3663.00,3661.00,3661.00,270,0\r\n2006-01-03,21:08:00,3662.00,3662.00,3660.00,3660.00,49,0\r\n2006-01-03,21:09:00,3660.00,3662.00,3660.00,3662.00,244,0\r\n2006-01-03,21:10:00,3662.00,3662.00,3661.00,3661.00,41,0\r\n2006-01-03,21:11:00,3662.00,3662.00,3661.00,3661.00,26,0\r\n2006-01-03,21:12:00,3661.00,3661.00,3661.00,3661.00,12,0\r\n2006-01-03,21:13:00,3661.00,3662.00,3661.00,3661.00,114,0\r\n2006-01-03,21:14:00,3662.00,3662.00,3660.00,3660.00,105,0\r\n2006-01-03,21:15:00,3660.00,3660.00,3659.00,3660.00,64,0\r\n2006-01-03,21:16:00,3660.00,3661.00,3659.00,3659.00,15,0\r\n2006-01-03,21:17:00,3659.00,3660.00,3659.00,3659.00,59,0\r\n2006-01-03,21:18:00,3661.00,3661.00,3660.00,3660.00,13,0\r\n2006-01-03,21:19:00,3660.00,3660.00,3660.00,3660.00,39,0\r\n2006-01-03,21:20:00,3659.00,3660.00,3659.00,3660.00,52,0\r\n2006-01-03,21:21:00,3659.00,3660.00,3659.00,3660.00,17,0\r\n2006-01-03,21:22:00,3661.00,3661.00,3661.00,3661.00,32,0\r\n2006-01-03,21:23:00,3660.00,3660.00,3659.00,3659.00,79,0\r\n2006-01-03,21:24:00,3659.00,3660.00,3659.00,3660.00,3,0\r\n2006-01-03,21:25:00,3659.00,3659.00,3659.00,3659.00,4,0\r\n2006-01-03,21:26:00,3659.00,3659.00,3659.00,3659.00,65,0\r\n2006-01-03,21:27:00,3658.00,3658.00,3658.00,3658.00,1,0\r\n2006-01-03,21:28:00,3658.00,3660.00,3658.00,3660.00,40,0\r\n2006-01-03,21:29:00,3660.00,3660.00,3659.00,3659.00,10,0\r\n2006-01-03,21:30:00,3660.00,3660.00,3660.00,3660.00,15,0\r\n2006-01-03,21:31:00,3660.00,3661.00,3660.00,3660.00,24,0\r\n2006-01-03,21:32:00,3661.00,3662.00,3661.00,3662.00,104,0\r\n2006-01-03,21:33:00,3662.00,3663.00,3662.00,3663.00,97,0\r\n2006-01-03,21:34:00,3663.00,3663.00,3662.00,3663.00,23,0\r\n2006-01-03,21:35:00,3663.00,3663.00,3662.00,3662.00,80,0\r\n2006-01-03,21:36:00,3662.00,3662.00,3661.00,3661.00,18,0\r\n2006-01-03,21:37:00,3661.00,3662.00,3661.00,3662.00,85,0\r\n2006-01-03,21:39:00,3662.00,3662.00,3661.00,3662.00,603,0\r\n2006-01-03,21:40:00,3662.00,3663.00,3662.00,3663.00,169,0\r\n2006-01-03,21:41:00,3663.00,3663.00,3662.00,3662.00,7,0\r\n2006-01-03,21:42:00,3662.00,3663.00,3662.00,3663.00,28,0\r\n2006-01-03,21:43:00,3663.00,3663.00,3663.00,3663.00,64,0\r\n2006-01-03,21:44:00,3663.00,3663.00,3663.00,3663.00,4,0\r\n2006-01-03,21:45:00,3663.00,3664.00,3662.00,3662.00,57,0\r\n2006-01-03,21:46:00,3662.00,3663.00,3662.00,3663.00,413,0\r\n2006-01-03,21:47:00,3663.00,3663.00,3663.00,3663.00,76,0\r\n2006-01-03,21:48:00,3663.00,3663.00,3662.00,3663.00,101,0\r\n2006-01-03,21:49:00,3663.00,3663.00,3663.00,3663.00,105,0\r\n2006-01-03,21:50:00,3663.00,3664.00,3663.00,3664.00,14,0\r\n2006-01-03,21:51:00,3663.00,3663.00,3663.00,3663.00,62,0\r\n2006-01-03,21:52:00,3664.00,3664.00,3663.00,3663.00,22,0\r\n2006-01-03,21:53:00,3663.00,3663.00,3663.00,3663.00,11,0\r\n2006-01-03,21:54:00,3663.00,3663.00,3663.00,3663.00,11,0\r\n2006-01-03,21:55:00,3663.00,3663.00,3663.00,3663.00,9,0\r\n2006-01-03,21:56:00,3663.00,3664.00,3663.00,3664.00,14,0\r\n2006-01-03,21:57:00,3663.00,3663.00,3663.00,3663.00,244,0\r\n2006-01-03,21:58:00,3664.00,3664.00,3664.00,3664.00,198,0\r\n2006-01-03,21:59:00,3664.00,3664.00,3663.00,3664.00,207,0\r\n2006-01-03,22:00:00,3664.00,3665.00,3664.00,3665.00,558,0\r\n2006-01-04,09:01:00,3660.00,3661.00,3659.00,3660.00,11232,0\r\n2006-01-04,09:02:00,3659.00,3662.00,3659.00,3661.00,2194,0\r\n2006-01-04,09:03:00,3662.00,3662.00,3660.00,3660.00,1275,0\r\n2006-01-04,09:04:00,3659.00,3660.00,3657.00,3658.00,2038,0\r\n2006-01-04,09:05:00,3658.00,3660.00,3657.00,3660.00,1388,0\r\n2006-01-04,09:06:00,3659.00,3660.00,3658.00,3659.00,1946,0\r\n2006-01-04,09:07:00,3659.00,3660.00,3658.00,3659.00,1348,0\r\n2006-01-04,09:08:00,3659.00,3664.00,3659.00,3663.00,5217,0\r\n2006-01-04,09:09:00,3663.00,3664.00,3662.00,3664.00,2743,0\r\n2006-01-04,09:10:00,3663.00,3664.00,3662.00,3662.00,826,0\r\n2006-01-04,09:11:00,3662.00,3662.00,3661.00,3662.00,468,0\r\n2006-01-04,09:12:00,3662.00,3664.00,3662.00,3663.00,3545,0\r\n2006-01-04,09:13:00,3663.00,3664.00,3663.00,3663.00,1801,0\r\n2006-01-04,09:14:00,3664.00,3664.00,3662.00,3662.00,2431,0\r\n2006-01-04,09:15:00,3662.00,3663.00,3662.00,3662.00,2438,0\r\n2006-01-04,09:16:00,3662.00,3663.00,3661.00,3661.00,1762,0\r\n2006-01-04,09:17:00,3661.00,3661.00,3659.00,3661.00,880,0\r\n2006-01-04,09:18:00,3661.00,3661.00,3660.00,3660.00,128,0\r\n2006-01-04,09:19:00,3660.00,3660.00,3657.00,3657.00,2382,0\r\n2006-01-04,09:20:00,3657.00,3657.00,3655.00,3657.00,2016,0\r\n2006-01-04,09:21:00,3656.00,3657.00,3655.00,3655.00,488,0\r\n2006-01-04,09:22:00,3655.00,3658.00,3655.00,3658.00,1639,0\r\n2006-01-04,09:23:00,3657.00,3658.00,3656.00,3657.00,477,0\r\n2006-01-04,09:24:00,3656.00,3657.00,3656.00,3657.00,415,0\r\n2006-01-04,09:25:00,3657.00,3657.00,3656.00,3657.00,203,0\r\n2006-01-04,09:26:00,3657.00,3658.00,3657.00,3657.00,410,0\r\n2006-01-04,09:27:00,3657.00,3658.00,3657.00,3657.00,597,0\r\n2006-01-04,09:28:00,3658.00,3659.00,3657.00,3658.00,542,0\r\n2006-01-04,09:29:00,3659.00,3659.00,3657.00,3658.00,849,0\r\n2006-01-04,09:30:00,3658.00,3659.00,3658.00,3659.00,346,0\r\n2006-01-04,09:31:00,3659.00,3659.00,3658.00,3658.00,355,0\r\n2006-01-04,09:32:00,3658.00,3658.00,3657.00,3657.00,599,0\r\n2006-01-04,09:33:00,3657.00,3658.00,3657.00,3657.00,289,0\r\n2006-01-04,09:34:00,3657.00,3659.00,3657.00,3659.00,909,0\r\n2006-01-04,09:35:00,3659.00,3660.00,3658.00,3658.00,528,0\r\n2006-01-04,09:36:00,3659.00,3660.00,3659.00,3660.00,486,0\r\n2006-01-04,09:37:00,3660.00,3661.00,3660.00,3660.00,579,0\r\n2006-01-04,09:38:00,3661.00,3661.00,3660.00,3661.00,1246,0\r\n2006-01-04,09:39:00,3661.00,3662.00,3661.00,3661.00,862,0\r\n2006-01-04,09:40:00,3661.00,3661.00,3660.00,3661.00,195,0\r\n2006-01-04,09:41:00,3660.00,3661.00,3659.00,3659.00,666,0\r\n2006-01-04,09:42:00,3659.00,3659.00,3658.00,3659.00,477,0\r\n2006-01-04,09:43:00,3658.00,3660.00,3658.00,3660.00,772,0\r\n2006-01-04,09:44:00,3659.00,3659.00,3658.00,3658.00,181,0\r\n2006-01-04,09:45:00,3658.00,3659.00,3657.00,3658.00,1416,0\r\n2006-01-04,09:46:00,3658.00,3658.00,3657.00,3658.00,316,0\r\n2006-01-04,09:47:00,3657.00,3657.00,3655.00,3655.00,1019,0\r\n2006-01-04,09:48:00,3656.00,3656.00,3654.00,3655.00,667,0\r\n2006-01-04,09:49:00,3655.00,3656.00,3653.00,3653.00,1835,0\r\n2006-01-04,09:50:00,3653.00,3655.00,3652.00,3655.00,1446,0\r\n2006-01-04,09:51:00,3654.00,3655.00,3653.00,3654.00,1378,0\r\n2006-01-04,09:52:00,3654.00,3655.00,3654.00,3654.00,315,0\r\n2006-01-04,09:53:00,3655.00,3655.00,3654.00,3654.00,688,0\r\n2006-01-04,09:54:00,3655.00,3658.00,3654.00,3658.00,2594,0\r\n2006-01-04,09:55:00,3658.00,3658.00,3657.00,3657.00,244,0\r\n2006-01-04,09:56:00,3658.00,3658.00,3657.00,3657.00,262,0\r\n2006-01-04,09:57:00,3657.00,3658.00,3657.00,3658.00,249,0\r\n2006-01-04,09:58:00,3658.00,3658.00,3657.00,3657.00,410,0\r\n2006-01-04,09:59:00,3658.00,3658.00,3656.00,3657.00,1491,0\r\n2006-01-04,10:00:00,3657.00,3658.00,3656.00,3656.00,702,0\r\n2006-01-04,10:01:00,3656.00,3656.00,3655.00,3656.00,697,0\r\n2006-01-04,10:02:00,3656.00,3656.00,3655.00,3656.00,350,0\r\n2006-01-04,10:03:00,3656.00,3656.00,3655.00,3655.00,1678,0\r\n2006-01-04,10:04:00,3655.00,3655.00,3654.00,3654.00,636,0\r\n2006-01-04,10:05:00,3654.00,3654.00,3653.00,3654.00,1891,0\r\n2006-01-04,10:06:00,3654.00,3656.00,3654.00,3656.00,258,0\r\n2006-01-04,10:07:00,3655.00,3656.00,3655.00,3655.00,344,0\r\n2006-01-04,10:08:00,3655.00,3656.00,3654.00,3654.00,838,0\r\n2006-01-04,10:09:00,3655.00,3655.00,3654.00,3654.00,1140,0\r\n2006-01-04,10:10:00,3654.00,3656.00,3653.00,3655.00,1023,0\r\n2006-01-04,10:11:00,3655.00,3655.00,3653.00,3655.00,259,0\r\n2006-01-04,10:12:00,3655.00,3656.00,3655.00,3655.00,266,0\r\n2006-01-04,10:13:00,3655.00,3656.00,3655.00,3655.00,675,0\r\n2006-01-04,10:14:00,3655.00,3655.00,3654.00,3655.00,1852,0\r\n2006-01-04,10:15:00,3655.00,3656.00,3655.00,3656.00,140,0\r\n2006-01-04,10:16:00,3656.00,3656.00,3656.00,3656.00,137,0\r\n2006-01-04,10:17:00,3656.00,3657.00,3656.00,3656.00,499,0\r\n2006-01-04,10:18:00,3656.00,3658.00,3656.00,3658.00,1313,0\r\n2006-01-04,10:19:00,3658.00,3658.00,3657.00,3657.00,902,0\r\n2006-01-04,10:20:00,3658.00,3658.00,3657.00,3657.00,420,0\r\n2006-01-04,10:21:00,3658.00,3659.00,3658.00,3659.00,1557,0\r\n2006-01-04,10:22:00,3658.00,3659.00,3658.00,3659.00,257,0\r\n2006-01-04,10:23:00,3659.00,3659.00,3659.00,3659.00,117,0\r\n2006-01-04,10:24:00,3659.00,3659.00,3658.00,3658.00,456,0\r\n2006-01-04,10:25:00,3657.00,3658.00,3657.00,3657.00,409,0\r\n2006-01-04,10:26:00,3656.00,3656.00,3655.00,3656.00,1175,0\r\n2006-01-04,10:27:00,3656.00,3656.00,3656.00,3656.00,271,0\r\n2006-01-04,10:28:00,3655.00,3655.00,3652.00,3653.00,3096,0\r\n2006-01-04,10:29:00,3653.00,3653.00,3649.00,3650.00,4445,0\r\n2006-01-04,10:30:00,3649.00,3650.00,3643.00,3643.00,6952,0\r\n2006-01-04,10:31:00,3643.00,3650.00,3643.00,3649.00,4905,0\r\n2006-01-04,10:32:00,3650.00,3652.00,3649.00,3652.00,4888,0\r\n2006-01-04,10:33:00,3653.00,3655.00,3650.00,3653.00,5699,0\r\n2006-01-04,10:34:00,3653.00,3653.00,3651.00,3651.00,1878,0\r\n2006-01-04,10:35:00,3651.00,3651.00,3650.00,3651.00,2022,0\r\n2006-01-04,10:36:00,3651.00,3652.00,3647.00,3647.00,3408,0\r\n2006-01-04,10:37:00,3646.00,3648.00,3643.00,3644.00,5700,0\r\n2006-01-04,10:38:00,3644.00,3645.00,3641.00,3644.00,5525,0\r\n2006-01-04,10:39:00,3645.00,3650.00,3644.00,3650.00,6463,0\r\n2006-01-04,10:40:00,3650.00,3650.00,3646.00,3647.00,1725,0\r\n2006-01-04,10:41:00,3648.00,3651.00,3648.00,3651.00,3311,0\r\n2006-01-04,10:42:00,3651.00,3651.00,3648.00,3649.00,1265,0\r\n2006-01-04,10:43:00,3649.00,3651.00,3647.00,3651.00,1805,0\r\n2006-01-04,10:44:00,3650.00,3652.00,3649.00,3651.00,2101,0\r\n2006-01-04,10:45:00,3651.00,3653.00,3651.00,3652.00,1264,0\r\n2006-01-04,10:46:00,3651.00,3653.00,3651.00,3652.00,760,0\r\n2006-01-04,10:47:00,3653.00,3653.00,3651.00,3651.00,759,0\r\n2006-01-04,10:48:00,3652.00,3652.00,3651.00,3652.00,271,0\r\n2006-01-04,10:49:00,3652.00,3655.00,3652.00,3654.00,1545,0\r\n2006-01-04,10:50:00,3653.00,3654.00,3653.00,3654.00,725,0\r\n2006-01-04,10:51:00,3654.00,3655.00,3654.00,3655.00,799,0\r\n2006-01-04,10:52:00,3654.00,3654.00,3652.00,3652.00,1354,0\r\n2006-01-04,10:53:00,3652.00,3653.00,3652.00,3653.00,459,0\r\n2006-01-04,10:54:00,3652.00,3653.00,3652.00,3653.00,5,0\r\n2006-01-04,10:55:00,3652.00,3653.00,3651.00,3652.00,726,0\r\n2006-01-04,10:56:00,3651.00,3652.00,3651.00,3651.00,300,0\r\n2006-01-04,10:57:00,3651.00,3652.00,3650.00,3651.00,1122,0\r\n2006-01-04,10:58:00,3652.00,3652.00,3651.00,3652.00,692,0\r\n2006-01-04,10:59:00,3651.00,3652.00,3651.00,3651.00,463,0\r\n2006-01-04,11:00:00,3651.00,3651.00,3648.00,3649.00,1624,0\r\n2006-01-04,11:01:00,3649.00,3651.00,3649.00,3650.00,1025,0\r\n2006-01-04,11:02:00,3650.00,3651.00,3650.00,3651.00,114,0\r\n2006-01-04,11:03:00,3650.00,3651.00,3650.00,3651.00,613,0\r\n2006-01-04,11:04:00,3651.00,3653.00,3651.00,3652.00,827,0\r\n2006-01-04,11:05:00,3652.00,3653.00,3651.00,3652.00,547,0\r\n2006-01-04,11:06:00,3652.00,3653.00,3652.00,3653.00,554,0\r\n2006-01-04,11:07:00,3653.00,3653.00,3652.00,3653.00,398,0\r\n2006-01-04,11:08:00,3653.00,3653.00,3652.00,3653.00,826,0\r\n2006-01-04,11:09:00,3652.00,3653.00,3652.00,3653.00,222,0\r\n2006-01-04,11:10:00,3653.00,3654.00,3653.00,3654.00,395,0\r\n2006-01-04,11:11:00,3654.00,3654.00,3653.00,3653.00,182,0\r\n2006-01-04,11:12:00,3654.00,3655.00,3654.00,3654.00,632,0\r\n2006-01-04,11:13:00,3654.00,3654.00,3654.00,3654.00,349,0\r\n2006-01-04,11:14:00,3654.00,3655.00,3654.00,3654.00,681,0\r\n2006-01-04,11:15:00,3655.00,3656.00,3655.00,3656.00,1107,0\r\n2006-01-04,11:16:00,3656.00,3656.00,3655.00,3656.00,241,0\r\n2006-01-04,11:17:00,3655.00,3656.00,3655.00,3655.00,479,0\r\n2006-01-04,11:18:00,3655.00,3655.00,3654.00,3654.00,453,0\r\n2006-01-04,11:19:00,3655.00,3655.00,3654.00,3654.00,846,0\r\n2006-01-04,11:20:00,3654.00,3655.00,3654.00,3655.00,227,0\r\n2006-01-04,11:21:00,3655.00,3655.00,3654.00,3654.00,234,0\r\n2006-01-04,11:22:00,3654.00,3655.00,3654.00,3654.00,15,0\r\n2006-01-04,11:23:00,3654.00,3655.00,3654.00,3654.00,193,0\r\n2006-01-04,11:24:00,3655.00,3655.00,3654.00,3655.00,149,0\r\n2006-01-04,11:25:00,3654.00,3654.00,3654.00,3654.00,202,0\r\n2006-01-04,11:26:00,3655.00,3655.00,3654.00,3655.00,718,0\r\n2006-01-04,11:27:00,3655.00,3657.00,3655.00,3657.00,1315,0\r\n2006-01-04,11:28:00,3656.00,3657.00,3656.00,3656.00,580,0\r\n2006-01-04,11:29:00,3657.00,3657.00,3657.00,3657.00,820,0\r\n2006-01-04,11:30:00,3657.00,3658.00,3656.00,3658.00,380,0\r\n2006-01-04,11:31:00,3657.00,3658.00,3657.00,3658.00,441,0\r\n2006-01-04,11:32:00,3657.00,3658.00,3657.00,3657.00,250,0\r\n2006-01-04,11:33:00,3657.00,3658.00,3657.00,3657.00,89,0\r\n2006-01-04,11:34:00,3657.00,3658.00,3656.00,3656.00,900,0\r\n2006-01-04,11:35:00,3656.00,3656.00,3656.00,3656.00,3,0\r\n2006-01-04,11:36:00,3656.00,3657.00,3656.00,3656.00,152,0\r\n2006-01-04,11:37:00,3657.00,3657.00,3656.00,3656.00,401,0\r\n2006-01-04,11:38:00,3656.00,3657.00,3656.00,3656.00,236,0\r\n2006-01-04,11:39:00,3656.00,3657.00,3656.00,3656.00,41,0\r\n2006-01-04,11:40:00,3656.00,3656.00,3656.00,3656.00,58,0\r\n2006-01-04,11:41:00,3657.00,3657.00,3657.00,3657.00,946,0\r\n2006-01-04,11:42:00,3657.00,3658.00,3657.00,3658.00,14,0\r\n2006-01-04,11:43:00,3657.00,3658.00,3657.00,3657.00,77,0\r\n2006-01-04,11:44:00,3657.00,3658.00,3657.00,3658.00,34,0\r\n2006-01-04,11:45:00,3657.00,3658.00,3657.00,3658.00,22,0\r\n2006-01-04,11:46:00,3657.00,3658.00,3657.00,3658.00,138,0\r\n2006-01-04,11:47:00,3657.00,3658.00,3657.00,3657.00,103,0\r\n2006-01-04,11:48:00,3658.00,3658.00,3658.00,3658.00,10,0\r\n2006-01-04,11:49:00,3657.00,3657.00,3656.00,3657.00,386,0\r\n2006-01-04,11:50:00,3657.00,3658.00,3657.00,3657.00,539,0\r\n2006-01-04,11:51:00,3657.00,3658.00,3657.00,3657.00,10,0\r\n2006-01-04,11:52:00,3658.00,3658.00,3657.00,3657.00,1960,0\r\n2006-01-04,11:53:00,3656.00,3657.00,3656.00,3656.00,5,0\r\n2006-01-04,11:54:00,3656.00,3657.00,3656.00,3656.00,54,0\r\n2006-01-04,11:55:00,3656.00,3657.00,3656.00,3656.00,598,0\r\n2006-01-04,11:56:00,3656.00,3656.00,3656.00,3656.00,295,0\r\n2006-01-04,11:57:00,3656.00,3656.00,3656.00,3656.00,361,0\r\n2006-01-04,11:58:00,3656.00,3656.00,3655.00,3655.00,2,0\r\n2006-01-04,11:59:00,3655.00,3655.00,3654.00,3654.00,508,0\r\n2006-01-04,12:01:00,3655.00,3655.00,3654.00,3654.00,194,0\r\n2006-01-04,12:02:00,3655.00,3655.00,3654.00,3654.00,563,0\r\n2006-01-04,12:03:00,3654.00,3654.00,3654.00,3654.00,606,0\r\n2006-01-04,12:04:00,3654.00,3655.00,3654.00,3655.00,29,0\r\n2006-01-04,12:05:00,3655.00,3655.00,3655.00,3655.00,292,0\r\n2006-01-04,12:06:00,3655.00,3656.00,3655.00,3655.00,655,0\r\n2006-01-04,12:07:00,3655.00,3655.00,3655.00,3655.00,3,0\r\n2006-01-04,12:08:00,3655.00,3655.00,3655.00,3655.00,2,0\r\n2006-01-04,12:09:00,3655.00,3655.00,3655.00,3655.00,6,0\r\n2006-01-04,12:10:00,3656.00,3656.00,3655.00,3655.00,1126,0\r\n2006-01-04,12:11:00,3655.00,3655.00,3655.00,3655.00,50,0\r\n2006-01-04,12:12:00,3655.00,3655.00,3655.00,3655.00,26,0\r\n2006-01-04,12:13:00,3655.00,3656.00,3655.00,3655.00,376,0\r\n2006-01-04,12:14:00,3655.00,3655.00,3655.00,3655.00,11,0\r\n2006-01-04,12:15:00,3656.00,3657.00,3656.00,3656.00,1022,0\r\n2006-01-04,12:16:00,3657.00,3657.00,3656.00,3656.00,22,0\r\n2006-01-04,12:17:00,3656.00,3657.00,3656.00,3656.00,229,0\r\n2006-01-04,12:18:00,3656.00,3656.00,3656.00,3656.00,25,0\r\n2006-01-04,12:19:00,3655.00,3656.00,3655.00,3656.00,29,0\r\n2006-01-04,12:20:00,3656.00,3656.00,3656.00,3656.00,390,0\r\n2006-01-04,12:21:00,3655.00,3655.00,3655.00,3655.00,5,0\r\n2006-01-04,12:22:00,3656.00,3656.00,3656.00,3656.00,115,0\r\n2006-01-04,12:24:00,3656.00,3656.00,3655.00,3656.00,20,0\r\n2006-01-04,12:25:00,3656.00,3656.00,3655.00,3656.00,237,0\r\n2006-01-04,12:26:00,3656.00,3657.00,3656.00,3657.00,422,0\r\n2006-01-04,12:27:00,3657.00,3657.00,3656.00,3657.00,335,0\r\n2006-01-04,12:28:00,3657.00,3658.00,3656.00,3657.00,2642,0\r\n2006-01-04,12:29:00,3657.00,3657.00,3657.00,3657.00,79,0\r\n2006-01-04,12:30:00,3657.00,3657.00,3656.00,3656.00,878,0\r\n2006-01-04,12:31:00,3656.00,3656.00,3655.00,3655.00,901,0\r\n2006-01-04,12:32:00,3655.00,3656.00,3655.00,3655.00,203,0\r\n2006-01-04,12:33:00,3656.00,3656.00,3656.00,3656.00,4,0\r\n2006-01-04,12:34:00,3655.00,3655.00,3655.00,3655.00,102,0\r\n2006-01-04,12:35:00,3655.00,3655.00,3655.00,3655.00,1025,0\r\n2006-01-04,12:36:00,3655.00,3655.00,3655.00,3655.00,197,0\r\n2006-01-04,12:37:00,3655.00,3656.00,3655.00,3656.00,138,0\r\n2006-01-04,12:38:00,3655.00,3656.00,3654.00,3654.00,250,0\r\n2006-01-04,12:39:00,3655.00,3655.00,3653.00,3653.00,947,0\r\n2006-01-04,12:40:00,3653.00,3654.00,3653.00,3653.00,496,0\r\n2006-01-04,12:41:00,3653.00,3653.00,3653.00,3653.00,397,0\r\n2006-01-04,12:42:00,3653.00,3654.00,3653.00,3654.00,170,0\r\n2006-01-04,12:43:00,3653.00,3653.00,3653.00,3653.00,381,0\r\n2006-01-04,12:44:00,3653.00,3653.00,3652.00,3652.00,966,0\r\n2006-01-04,12:45:00,3652.00,3652.00,3652.00,3652.00,76,0\r\n2006-01-04,12:46:00,3652.00,3652.00,3652.00,3652.00,487,0\r\n2006-01-04,12:47:00,3652.00,3653.00,3652.00,3653.00,120,0\r\n2006-01-04,12:48:00,3652.00,3653.00,3652.00,3652.00,41,0\r\n2006-01-04,12:49:00,3652.00,3653.00,3652.00,3653.00,562,0\r\n2006-01-04,12:50:00,3653.00,3654.00,3653.00,3653.00,34,0\r\n2006-01-04,12:51:00,3653.00,3653.00,3653.00,3653.00,1472,0\r\n2006-01-04,12:52:00,3653.00,3653.00,3652.00,3652.00,139,0\r\n2006-01-04,12:53:00,3652.00,3652.00,3652.00,3652.00,45,0\r\n2006-01-04,12:54:00,3652.00,3652.00,3652.00,3652.00,383,0\r\n2006-01-04,12:55:00,3652.00,3653.00,3652.00,3653.00,24,0\r\n2006-01-04,12:56:00,3653.00,3654.00,3653.00,3653.00,381,0\r\n2006-01-04,12:57:00,3654.00,3654.00,3653.00,3653.00,6,0\r\n2006-01-04,12:59:00,3653.00,3653.00,3653.00,3653.00,1,0\r\n2006-01-04,13:00:00,3654.00,3654.00,3654.00,3654.00,1,0\r\n2006-01-04,13:01:00,3653.00,3654.00,3653.00,3654.00,35,0\r\n2006-01-04,13:02:00,3654.00,3655.00,3654.00,3655.00,567,0\r\n2006-01-04,13:03:00,3655.00,3655.00,3654.00,3654.00,53,0\r\n2006-01-04,13:04:00,3655.00,3655.00,3654.00,3654.00,149,0\r\n2006-01-04,13:05:00,3654.00,3654.00,3654.00,3654.00,1,0\r\n2006-01-04,13:06:00,3655.00,3655.00,3655.00,3655.00,1,0\r\n2006-01-04,13:07:00,3654.00,3655.00,3654.00,3655.00,346,0\r\n2006-01-04,13:08:00,3655.00,3655.00,3655.00,3655.00,12,0\r\n2006-01-04,13:09:00,3655.00,3655.00,3655.00,3655.00,12,0\r\n2006-01-04,13:10:00,3654.00,3655.00,3654.00,3654.00,468,0\r\n2006-01-04,13:11:00,3655.00,3655.00,3654.00,3654.00,7,0\r\n2006-01-04,13:12:00,3655.00,3655.00,3654.00,3654.00,238,0\r\n2006-01-04,13:13:00,3654.00,3654.00,3653.00,3654.00,367,0\r\n2006-01-04,13:14:00,3654.00,3655.00,3654.00,3655.00,153,0\r\n2006-01-04,13:15:00,3655.00,3655.00,3654.00,3654.00,6,0\r\n2006-01-04,13:16:00,3654.00,3654.00,3653.00,3654.00,370,0\r\n2006-01-04,13:17:00,3654.00,3654.00,3654.00,3654.00,95,0\r\n2006-01-04,13:18:00,3654.00,3654.00,3654.00,3654.00,161,0\r\n2006-01-04,13:19:00,3654.00,3655.00,3653.00,3655.00,170,0\r\n2006-01-04,13:20:00,3654.00,3654.00,3653.00,3654.00,118,0\r\n2006-01-04,13:21:00,3654.00,3654.00,3654.00,3654.00,246,0\r\n2006-01-04,13:22:00,3654.00,3655.00,3653.00,3654.00,478,0\r\n2006-01-04,13:23:00,3653.00,3654.00,3653.00,3653.00,488,0\r\n2006-01-04,13:24:00,3654.00,3654.00,3653.00,3653.00,887,0\r\n2006-01-04,13:25:00,3653.00,3654.00,3652.00,3653.00,99,0\r\n2006-01-04,13:26:00,3653.00,3653.00,3652.00,3653.00,328,0\r\n2006-01-04,13:27:00,3653.00,3654.00,3653.00,3653.00,245,0\r\n2006-01-04,13:28:00,3653.00,3654.00,3653.00,3654.00,655,0\r\n2006-01-04,13:29:00,3654.00,3654.00,3653.00,3654.00,176,0\r\n2006-01-04,13:30:00,3653.00,3654.00,3653.00,3653.00,534,0\r\n2006-01-04,13:31:00,3653.00,3654.00,3653.00,3654.00,30,0\r\n2006-01-04,13:32:00,3653.00,3654.00,3653.00,3654.00,41,0\r\n2006-01-04,13:33:00,3654.00,3654.00,3653.00,3653.00,63,0\r\n2006-01-04,13:34:00,3653.00,3654.00,3653.00,3654.00,134,0\r\n2006-01-04,13:35:00,3654.00,3654.00,3654.00,3654.00,71,0\r\n2006-01-04,13:36:00,3654.00,3654.00,3653.00,3653.00,39,0\r\n2006-01-04,13:37:00,3653.00,3653.00,3653.00,3653.00,59,0\r\n2006-01-04,13:38:00,3653.00,3653.00,3653.00,3653.00,386,0\r\n2006-01-04,13:39:00,3653.00,3653.00,3653.00,3653.00,13,0\r\n2006-01-04,13:40:00,3654.00,3654.00,3652.00,3653.00,110,0\r\n2006-01-04,13:41:00,3653.00,3653.00,3653.00,3653.00,148,0\r\n2006-01-04,13:42:00,3653.00,3653.00,3653.00,3653.00,16,0\r\n2006-01-04,13:43:00,3653.00,3653.00,3652.00,3653.00,70,0\r\n2006-01-04,13:44:00,3653.00,3653.00,3653.00,3653.00,5,0\r\n2006-01-04,13:45:00,3652.00,3652.00,3652.00,3652.00,6,0\r\n2006-01-04,13:46:00,3652.00,3653.00,3652.00,3652.00,1505,0\r\n2006-01-04,13:47:00,3652.00,3652.00,3652.00,3652.00,42,0\r\n2006-01-04,13:48:00,3652.00,3653.00,3652.00,3652.00,55,0\r\n2006-01-04,13:49:00,3652.00,3652.00,3652.00,3652.00,77,0\r\n2006-01-04,13:50:00,3652.00,3653.00,3652.00,3653.00,276,0\r\n2006-01-04,13:51:00,3652.00,3653.00,3652.00,3653.00,62,0\r\n2006-01-04,13:52:00,3653.00,3653.00,3652.00,3652.00,325,0\r\n2006-01-04,13:53:00,3652.00,3652.00,3652.00,3652.00,25,0\r\n2006-01-04,13:54:00,3652.00,3653.00,3652.00,3652.00,426,0\r\n2006-01-04,13:56:00,3653.00,3653.00,3652.00,3652.00,285,0\r\n2006-01-04,13:57:00,3653.00,3653.00,3653.00,3653.00,11,0\r\n2006-01-04,13:58:00,3653.00,3654.00,3653.00,3653.00,2235,0\r\n2006-01-04,13:59:00,3653.00,3654.00,3653.00,3654.00,1233,0\r\n2006-01-04,14:00:00,3653.00,3653.00,3653.00,3653.00,132,0\r\n2006-01-04,14:01:00,3653.00,3653.00,3652.00,3653.00,276,0\r\n2006-01-04,14:02:00,3652.00,3652.00,3652.00,3652.00,23,0\r\n2006-01-04,14:03:00,3652.00,3653.00,3652.00,3652.00,320,0\r\n2006-01-04,14:04:00,3653.00,3653.00,3653.00,3653.00,728,0\r\n2006-01-04,14:05:00,3653.00,3653.00,3651.00,3652.00,943,0\r\n2006-01-04,14:06:00,3652.00,3653.00,3652.00,3652.00,344,0\r\n2006-01-04,14:07:00,3653.00,3653.00,3652.00,3652.00,13,0\r\n2006-01-04,14:08:00,3652.00,3653.00,3652.00,3653.00,287,0\r\n2006-01-04,14:09:00,3652.00,3652.00,3652.00,3652.00,71,0\r\n2006-01-04,14:10:00,3652.00,3652.00,3652.00,3652.00,1735,0\r\n2006-01-04,14:12:00,3653.00,3654.00,3653.00,3654.00,434,0\r\n2006-01-04,14:13:00,3653.00,3654.00,3653.00,3654.00,160,0\r\n2006-01-04,14:14:00,3654.00,3654.00,3654.00,3654.00,143,0\r\n2006-01-04,14:15:00,3654.00,3654.00,3654.00,3654.00,411,0\r\n2006-01-04,14:16:00,3655.00,3655.00,3653.00,3654.00,381,0\r\n2006-01-04,14:17:00,3654.00,3655.00,3654.00,3655.00,316,0\r\n2006-01-04,14:18:00,3655.00,3655.00,3654.00,3654.00,369,0\r\n2006-01-04,14:19:00,3655.00,3655.00,3654.00,3655.00,155,0\r\n2006-01-04,14:20:00,3655.00,3655.00,3654.00,3654.00,561,0\r\n2006-01-04,14:21:00,3655.00,3656.00,3655.00,3655.00,351,0\r\n2006-01-04,14:22:00,3656.00,3656.00,3655.00,3655.00,379,0\r\n2006-01-04,14:23:00,3655.00,3655.00,3653.00,3653.00,727,0\r\n2006-01-04,14:24:00,3653.00,3653.00,3653.00,3653.00,44,0\r\n2006-01-04,14:25:00,3654.00,3654.00,3654.00,3654.00,471,0\r\n2006-01-04,14:26:00,3654.00,3654.00,3654.00,3654.00,144,0\r\n2006-01-04,14:27:00,3654.00,3654.00,3654.00,3654.00,29,0\r\n2006-01-04,14:28:00,3654.00,3655.00,3654.00,3655.00,398,0\r\n2006-01-04,14:29:00,3655.00,3655.00,3654.00,3654.00,45,0\r\n2006-01-04,14:30:00,3655.00,3655.00,3654.00,3654.00,3,0\r\n2006-01-04,14:31:00,3654.00,3655.00,3653.00,3653.00,165,0\r\n2006-01-04,14:32:00,3654.00,3654.00,3653.00,3654.00,166,0\r\n2006-01-04,14:33:00,3654.00,3655.00,3654.00,3655.00,378,0\r\n2006-01-04,14:34:00,3655.00,3655.00,3655.00,3655.00,594,0\r\n2006-01-04,14:35:00,3654.00,3655.00,3654.00,3655.00,317,0\r\n2006-01-04,14:36:00,3655.00,3655.00,3655.00,3655.00,620,0\r\n2006-01-04,14:37:00,3655.00,3656.00,3655.00,3656.00,280,0\r\n2006-01-04,14:38:00,3656.00,3656.00,3656.00,3656.00,1,0\r\n2006-01-04,14:39:00,3656.00,3656.00,3655.00,3655.00,249,0\r\n2006-01-04,14:40:00,3655.00,3655.00,3655.00,3655.00,350,0\r\n2006-01-04,14:41:00,3655.00,3656.00,3655.00,3656.00,12,0\r\n2006-01-04,14:42:00,3656.00,3657.00,3656.00,3657.00,505,0\r\n2006-01-04,14:43:00,3656.00,3659.00,3656.00,3659.00,1309,0\r\n2006-01-04,14:44:00,3658.00,3659.00,3658.00,3658.00,465,0\r\n2006-01-04,14:45:00,3658.00,3659.00,3657.00,3658.00,362,0\r\n2006-01-04,14:46:00,3658.00,3658.00,3658.00,3658.00,40,0\r\n2006-01-04,14:47:00,3658.00,3658.00,3656.00,3657.00,719,0\r\n2006-01-04,14:48:00,3657.00,3658.00,3656.00,3658.00,617,0\r\n2006-01-04,14:49:00,3658.00,3658.00,3657.00,3657.00,281,0\r\n2006-01-04,14:50:00,3657.00,3657.00,3657.00,3657.00,268,0\r\n2006-01-04,14:51:00,3656.00,3658.00,3656.00,3658.00,308,0\r\n2006-01-04,14:52:00,3658.00,3658.00,3657.00,3657.00,124,0\r\n2006-01-04,14:53:00,3658.00,3658.00,3658.00,3658.00,27,0\r\n2006-01-04,14:54:00,3657.00,3658.00,3657.00,3657.00,490,0\r\n2006-01-04,14:55:00,3657.00,3657.00,3656.00,3657.00,36,0\r\n2006-01-04,14:56:00,3657.00,3657.00,3657.00,3657.00,20,0\r\n2006-01-04,14:57:00,3656.00,3656.00,3655.00,3656.00,630,0\r\n2006-01-04,14:58:00,3656.00,3656.00,3655.00,3656.00,21,0\r\n2006-01-04,14:59:00,3656.00,3656.00,3655.00,3656.00,521,0\r\n2006-01-04,15:00:00,3656.00,3656.00,3655.00,3656.00,181,0\r\n2006-01-04,15:01:00,3656.00,3656.00,3655.00,3655.00,97,0\r\n2006-01-04,15:02:00,3656.00,3656.00,3655.00,3656.00,132,0\r\n2006-01-04,15:03:00,3655.00,3656.00,3655.00,3655.00,575,0\r\n2006-01-04,15:04:00,3655.00,3655.00,3654.00,3655.00,263,0\r\n2006-01-04,15:05:00,3655.00,3655.00,3653.00,3653.00,294,0\r\n2006-01-04,15:06:00,3653.00,3654.00,3653.00,3654.00,251,0\r\n2006-01-04,15:07:00,3653.00,3654.00,3653.00,3654.00,2,0\r\n2006-01-04,15:08:00,3654.00,3655.00,3654.00,3655.00,326,0\r\n2006-01-04,15:09:00,3655.00,3655.00,3654.00,3654.00,203,0\r\n2006-01-04,15:10:00,3654.00,3654.00,3654.00,3654.00,2139,0\r\n2006-01-04,15:11:00,3655.00,3655.00,3655.00,3655.00,146,0\r\n2006-01-04,15:12:00,3655.00,3656.00,3655.00,3656.00,464,0\r\n2006-01-04,15:13:00,3656.00,3656.00,3656.00,3656.00,15,0\r\n2006-01-04,15:14:00,3656.00,3656.00,3654.00,3655.00,477,0\r\n2006-01-04,15:15:00,3656.00,3656.00,3655.00,3655.00,26,0\r\n2006-01-04,15:16:00,3656.00,3657.00,3656.00,3657.00,1151,0\r\n2006-01-04,15:17:00,3658.00,3658.00,3657.00,3657.00,792,0\r\n2006-01-04,15:18:00,3657.00,3657.00,3657.00,3657.00,336,0\r\n2006-01-04,15:19:00,3657.00,3658.00,3657.00,3657.00,114,0\r\n2006-01-04,15:20:00,3657.00,3657.00,3657.00,3657.00,65,0\r\n2006-01-04,15:21:00,3657.00,3658.00,3657.00,3657.00,192,0\r\n2006-01-04,15:22:00,3657.00,3658.00,3657.00,3658.00,105,0\r\n2006-01-04,15:23:00,3658.00,3659.00,3658.00,3658.00,339,0\r\n2006-01-04,15:24:00,3657.00,3658.00,3657.00,3658.00,336,0\r\n2006-01-04,15:25:00,3658.00,3658.00,3658.00,3658.00,3,0\r\n2006-01-04,15:26:00,3657.00,3658.00,3657.00,3657.00,4578,0\r\n2006-01-04,15:27:00,3657.00,3657.00,3657.00,3657.00,42,0\r\n2006-01-04,15:28:00,3657.00,3658.00,3657.00,3658.00,725,0\r\n2006-01-04,15:29:00,3658.00,3658.00,3658.00,3658.00,501,0\r\n2006-01-04,15:30:00,3658.00,3659.00,3658.00,3659.00,334,0\r\n2006-01-04,15:31:00,3659.00,3659.00,3658.00,3658.00,460,0\r\n2006-01-04,15:32:00,3657.00,3659.00,3657.00,3659.00,1379,0\r\n2006-01-04,15:33:00,3659.00,3659.00,3657.00,3657.00,360,0\r\n2006-01-04,15:34:00,3658.00,3658.00,3656.00,3656.00,781,0\r\n2006-01-04,15:35:00,3656.00,3657.00,3656.00,3657.00,487,0\r\n2006-01-04,15:36:00,3657.00,3657.00,3656.00,3657.00,32,0\r\n2006-01-04,15:37:00,3656.00,3657.00,3655.00,3657.00,900,0\r\n2006-01-04,15:38:00,3656.00,3656.00,3654.00,3655.00,1321,0\r\n2006-01-04,15:39:00,3655.00,3657.00,3655.00,3656.00,772,0\r\n2006-01-04,15:40:00,3657.00,3657.00,3657.00,3657.00,354,0\r\n2006-01-04,15:41:00,3657.00,3658.00,3657.00,3658.00,676,0\r\n2006-01-04,15:42:00,3658.00,3659.00,3658.00,3659.00,618,0\r\n2006-01-04,15:43:00,3659.00,3660.00,3659.00,3660.00,2079,0\r\n2006-01-04,15:44:00,3660.00,3660.00,3659.00,3660.00,416,0\r\n2006-01-04,15:45:00,3659.00,3660.00,3659.00,3659.00,707,0\r\n2006-01-04,15:46:00,3660.00,3660.00,3659.00,3659.00,908,0\r\n2006-01-04,15:47:00,3659.00,3660.00,3658.00,3659.00,882,0\r\n2006-01-04,15:48:00,3659.00,3660.00,3658.00,3660.00,1153,0\r\n2006-01-04,15:49:00,3659.00,3661.00,3658.00,3659.00,1425,0\r\n2006-01-04,15:50:00,3659.00,3660.00,3659.00,3659.00,270,0\r\n2006-01-04,15:51:00,3658.00,3660.00,3658.00,3659.00,1803,0\r\n2006-01-04,15:52:00,3659.00,3660.00,3656.00,3657.00,3143,0\r\n2006-01-04,15:53:00,3657.00,3657.00,3656.00,3657.00,648,0\r\n2006-01-04,15:54:00,3657.00,3658.00,3657.00,3657.00,381,0\r\n2006-01-04,15:55:00,3657.00,3658.00,3657.00,3657.00,2307,0\r\n2006-01-04,15:56:00,3657.00,3657.00,3656.00,3657.00,1228,0\r\n2006-01-04,15:57:00,3657.00,3658.00,3657.00,3658.00,788,0\r\n2006-01-04,15:58:00,3658.00,3659.00,3658.00,3658.00,1233,0\r\n2006-01-04,15:59:00,3659.00,3659.00,3658.00,3658.00,566,0\r\n2006-01-04,16:00:00,3658.00,3658.00,3657.00,3658.00,576,0\r\n2006-01-04,16:01:00,3658.00,3659.00,3657.00,3658.00,1296,0\r\n2006-01-04,16:02:00,3659.00,3661.00,3658.00,3661.00,2281,0\r\n2006-01-04,16:03:00,3660.00,3664.00,3660.00,3663.00,3458,0\r\n2006-01-04,16:04:00,3663.00,3664.00,3662.00,3662.00,2275,0\r\n2006-01-04,16:05:00,3662.00,3664.00,3662.00,3663.00,2117,0\r\n2006-01-04,16:06:00,3663.00,3664.00,3662.00,3662.00,1139,0\r\n2006-01-04,16:07:00,3662.00,3662.00,3660.00,3661.00,1790,0\r\n2006-01-04,16:08:00,3661.00,3662.00,3660.00,3661.00,1243,0\r\n2006-01-04,16:09:00,3661.00,3663.00,3661.00,3662.00,955,0\r\n2006-01-04,16:10:00,3661.00,3663.00,3661.00,3662.00,629,0\r\n2006-01-04,16:11:00,3662.00,3662.00,3660.00,3661.00,1307,0\r\n2006-01-04,16:12:00,3661.00,3662.00,3661.00,3662.00,267,0\r\n2006-01-04,16:13:00,3662.00,3662.00,3661.00,3662.00,220,0\r\n2006-01-04,16:14:00,3661.00,3661.00,3660.00,3661.00,296,0\r\n2006-01-04,16:15:00,3661.00,3661.00,3660.00,3661.00,296,0\r\n2006-01-04,16:16:00,3661.00,3662.00,3660.00,3661.00,672,0\r\n2006-01-04,16:17:00,3662.00,3664.00,3661.00,3662.00,1784,0\r\n2006-01-04,16:18:00,3662.00,3662.00,3660.00,3661.00,654,0\r\n2006-01-04,16:19:00,3660.00,3661.00,3660.00,3661.00,1004,0\r\n2006-01-04,16:20:00,3660.00,3662.00,3660.00,3661.00,1827,0\r\n2006-01-04,16:21:00,3661.00,3662.00,3660.00,3661.00,842,0\r\n2006-01-04,16:22:00,3661.00,3662.00,3660.00,3662.00,1067,0\r\n2006-01-04,16:23:00,3662.00,3662.00,3660.00,3661.00,629,0\r\n2006-01-04,16:24:00,3661.00,3662.00,3660.00,3661.00,2554,0\r\n2006-01-04,16:25:00,3661.00,3662.00,3660.00,3660.00,1271,0\r\n2006-01-04,16:26:00,3661.00,3662.00,3660.00,3661.00,1855,0\r\n2006-01-04,16:27:00,3661.00,3662.00,3660.00,3660.00,1804,0\r\n2006-01-04,16:28:00,3660.00,3661.00,3659.00,3661.00,773,0\r\n2006-01-04,16:29:00,3661.00,3661.00,3661.00,3661.00,101,0\r\n2006-01-04,16:30:00,3661.00,3661.00,3657.00,3657.00,5989,0\r\n2006-01-04,16:31:00,3657.00,3657.00,3656.00,3656.00,9182,0\r\n2006-01-04,16:32:00,3656.00,3657.00,3655.00,3657.00,1179,0\r\n2006-01-04,16:33:00,3656.00,3657.00,3655.00,3657.00,1030,0\r\n2006-01-04,16:34:00,3657.00,3657.00,3656.00,3657.00,557,0\r\n2006-01-04,16:35:00,3657.00,3657.00,3656.00,3656.00,61,0\r\n2006-01-04,16:36:00,3657.00,3658.00,3656.00,3657.00,1949,0\r\n2006-01-04,16:37:00,3657.00,3657.00,3656.00,3657.00,3480,0\r\n2006-01-04,16:38:00,3656.00,3657.00,3655.00,3656.00,1031,0\r\n2006-01-04,16:39:00,3656.00,3656.00,3655.00,3656.00,297,0\r\n2006-01-04,16:40:00,3656.00,3658.00,3656.00,3656.00,1316,0\r\n2006-01-04,16:41:00,3656.00,3657.00,3655.00,3657.00,619,0\r\n2006-01-04,16:42:00,3656.00,3657.00,3654.00,3654.00,1141,0\r\n2006-01-04,16:43:00,3654.00,3655.00,3654.00,3655.00,3784,0\r\n2006-01-04,16:44:00,3655.00,3655.00,3654.00,3655.00,1725,0\r\n2006-01-04,16:45:00,3655.00,3656.00,3654.00,3655.00,1272,0\r\n2006-01-04,16:46:00,3655.00,3655.00,3654.00,3655.00,765,0\r\n2006-01-04,16:47:00,3655.00,3656.00,3655.00,3656.00,875,0\r\n2006-01-04,16:48:00,3655.00,3657.00,3655.00,3656.00,709,0\r\n2006-01-04,16:49:00,3656.00,3657.00,3656.00,3657.00,423,0\r\n2006-01-04,16:50:00,3657.00,3658.00,3656.00,3658.00,2219,0\r\n2006-01-04,16:51:00,3657.00,3659.00,3657.00,3659.00,2043,0\r\n2006-01-04,16:52:00,3658.00,3659.00,3657.00,3658.00,2234,0\r\n2006-01-04,16:53:00,3658.00,3658.00,3658.00,3658.00,356,0\r\n2006-01-04,16:54:00,3657.00,3658.00,3657.00,3658.00,629,0\r\n2006-01-04,16:55:00,3657.00,3658.00,3656.00,3657.00,1493,0\r\n2006-01-04,16:56:00,3658.00,3658.00,3657.00,3658.00,639,0\r\n2006-01-04,16:57:00,3658.00,3659.00,3657.00,3658.00,1550,0\r\n2006-01-04,16:58:00,3658.00,3659.00,3657.00,3658.00,1164,0\r\n2006-01-04,16:59:00,3657.00,3658.00,3656.00,3657.00,438,0\r\n2006-01-04,17:00:00,3656.00,3657.00,3656.00,3657.00,853,0\r\n2006-01-04,17:01:00,3657.00,3658.00,3656.00,3657.00,1244,0\r\n2006-01-04,17:02:00,3657.00,3658.00,3656.00,3658.00,1838,0\r\n2006-01-04,17:03:00,3657.00,3659.00,3657.00,3658.00,2336,0\r\n2006-01-04,17:04:00,3657.00,3660.00,3657.00,3660.00,814,0\r\n2006-01-04,17:05:00,3660.00,3662.00,3660.00,3661.00,1564,0\r\n2006-01-04,17:06:00,3661.00,3661.00,3660.00,3660.00,1361,0\r\n2006-01-04,17:07:00,3660.00,3661.00,3658.00,3658.00,3115,0\r\n2006-01-04,17:08:00,3658.00,3659.00,3658.00,3658.00,762,0\r\n2006-01-04,17:09:00,3658.00,3662.00,3658.00,3662.00,1126,0\r\n2006-01-04,17:10:00,3662.00,3662.00,3659.00,3660.00,2475,0\r\n2006-01-04,17:11:00,3660.00,3660.00,3658.00,3658.00,1890,0\r\n2006-01-04,17:12:00,3659.00,3659.00,3658.00,3658.00,460,0\r\n2006-01-04,17:13:00,3658.00,3660.00,3658.00,3659.00,436,0\r\n2006-01-04,17:14:00,3659.00,3660.00,3658.00,3659.00,861,0\r\n2006-01-04,17:15:00,3659.00,3660.00,3659.00,3659.00,439,0\r\n2006-01-04,17:16:00,3660.00,3661.00,3660.00,3660.00,174,0\r\n2006-01-04,17:17:00,3660.00,3662.00,3660.00,3661.00,1021,0\r\n2006-01-04,17:18:00,3662.00,3663.00,3660.00,3662.00,1712,0\r\n2006-01-04,17:19:00,3662.00,3663.00,3661.00,3661.00,676,0\r\n2006-01-04,17:20:00,3661.00,3663.00,3661.00,3663.00,1143,0\r\n2006-01-04,17:21:00,3663.00,3664.00,3662.00,3662.00,2019,0\r\n2006-01-04,17:22:00,3663.00,3664.00,3662.00,3662.00,1871,0\r\n2006-01-04,17:23:00,3663.00,3663.00,3662.00,3662.00,742,0\r\n2006-01-04,17:24:00,3663.00,3664.00,3662.00,3662.00,1191,0\r\n2006-01-04,17:25:00,3662.00,3664.00,3662.00,3663.00,1586,0\r\n2006-01-04,17:26:00,3664.00,3664.00,3663.00,3664.00,1633,0\r\n2006-01-04,17:27:00,3665.00,3666.00,3664.00,3666.00,2212,0\r\n2006-01-04,17:28:00,3666.00,3668.00,3666.00,3668.00,3560,0\r\n2006-01-04,17:29:00,3668.00,3668.00,3665.00,3666.00,6967,0\r\n2006-01-04,17:30:00,3666.00,3667.00,3664.00,3667.00,3487,0\r\n2006-01-04,17:31:00,3666.00,3668.00,3665.00,3668.00,4282,0\r\n2006-01-04,17:32:00,3668.00,3669.00,3667.00,3667.00,2038,0\r\n2006-01-04,17:33:00,3666.00,3667.00,3666.00,3666.00,943,0\r\n2006-01-04,17:34:00,3667.00,3668.00,3666.00,3667.00,888,0\r\n2006-01-04,17:35:00,3667.00,3668.00,3667.00,3667.00,1175,0\r\n2006-01-04,17:36:00,3667.00,3669.00,3667.00,3668.00,5487,0\r\n2006-01-04,17:37:00,3668.00,3669.00,3668.00,3668.00,1512,0\r\n2006-01-04,17:38:00,3668.00,3668.00,3667.00,3668.00,1025,0\r\n2006-01-04,17:39:00,3667.00,3669.00,3667.00,3668.00,990,0\r\n2006-01-04,17:40:00,3668.00,3668.00,3668.00,3668.00,801,0\r\n2006-01-04,17:41:00,3668.00,3668.00,3668.00,3668.00,87,0\r\n2006-01-04,17:42:00,3668.00,3669.00,3667.00,3667.00,488,0\r\n2006-01-04,17:43:00,3668.00,3668.00,3667.00,3667.00,218,0\r\n2006-01-04,17:44:00,3667.00,3668.00,3667.00,3668.00,91,0\r\n2006-01-04,17:45:00,3667.00,3669.00,3667.00,3669.00,595,0\r\n2006-01-04,17:46:00,3669.00,3670.00,3668.00,3668.00,1536,0\r\n2006-01-04,17:47:00,3668.00,3669.00,3668.00,3669.00,713,0\r\n2006-01-04,17:48:00,3668.00,3670.00,3668.00,3669.00,1481,0\r\n2006-01-04,17:49:00,3669.00,3670.00,3669.00,3670.00,1035,0\r\n2006-01-04,17:50:00,3670.00,3671.00,3669.00,3669.00,1462,0\r\n2006-01-04,17:51:00,3670.00,3671.00,3669.00,3670.00,1363,0\r\n2006-01-04,17:52:00,3671.00,3671.00,3670.00,3671.00,676,0\r\n2006-01-04,17:53:00,3671.00,3672.00,3670.00,3671.00,1427,0\r\n2006-01-04,17:54:00,3672.00,3673.00,3671.00,3672.00,1305,0\r\n2006-01-04,17:55:00,3672.00,3673.00,3671.00,3672.00,542,0\r\n2006-01-04,17:56:00,3672.00,3672.00,3671.00,3671.00,191,0\r\n2006-01-04,17:57:00,3672.00,3672.00,3670.00,3670.00,1571,0\r\n2006-01-04,17:58:00,3670.00,3672.00,3670.00,3672.00,167,0\r\n2006-01-04,17:59:00,3672.00,3672.00,3671.00,3672.00,940,0\r\n2006-01-04,18:00:00,3672.00,3673.00,3672.00,3673.00,979,0\r\n2006-01-04,18:01:00,3674.00,3674.00,3672.00,3673.00,899,0\r\n2006-01-04,18:02:00,3673.00,3674.00,3673.00,3674.00,582,0\r\n2006-01-04,18:03:00,3674.00,3674.00,3672.00,3673.00,2443,0\r\n2006-01-04,18:04:00,3673.00,3673.00,3673.00,3673.00,1769,0\r\n2006-01-04,18:05:00,3673.00,3673.00,3673.00,3673.00,379,0\r\n2006-01-04,18:06:00,3673.00,3673.00,3673.00,3673.00,123,0\r\n2006-01-04,18:07:00,3674.00,3674.00,3673.00,3673.00,41,0\r\n2006-01-04,18:08:00,3673.00,3673.00,3672.00,3673.00,108,0\r\n2006-01-04,18:09:00,3672.00,3672.00,3672.00,3672.00,1042,0\r\n2006-01-04,18:10:00,3672.00,3672.00,3672.00,3672.00,89,0\r\n2006-01-04,18:11:00,3673.00,3673.00,3672.00,3673.00,494,0\r\n2006-01-04,18:12:00,3673.00,3674.00,3673.00,3673.00,855,0\r\n2006-01-04,18:13:00,3673.00,3673.00,3672.00,3672.00,152,0\r\n2006-01-04,18:14:00,3672.00,3673.00,3672.00,3673.00,209,0\r\n2006-01-04,18:15:00,3672.00,3673.00,3672.00,3672.00,192,0\r\n2006-01-04,18:16:00,3672.00,3672.00,3671.00,3671.00,71,0\r\n2006-01-04,18:17:00,3671.00,3672.00,3671.00,3671.00,107,0\r\n2006-01-04,18:18:00,3671.00,3671.00,3670.00,3670.00,188,0\r\n2006-01-04,18:19:00,3670.00,3671.00,3670.00,3671.00,256,0\r\n2006-01-04,18:20:00,3670.00,3671.00,3670.00,3671.00,35,0\r\n2006-01-04,18:21:00,3671.00,3671.00,3669.00,3669.00,546,0\r\n2006-01-04,18:22:00,3669.00,3669.00,3668.00,3669.00,509,0\r\n2006-01-04,18:23:00,3668.00,3669.00,3668.00,3669.00,403,0\r\n2006-01-04,18:24:00,3669.00,3669.00,3668.00,3669.00,91,0\r\n2006-01-04,18:25:00,3669.00,3669.00,3668.00,3669.00,355,0\r\n2006-01-04,18:26:00,3669.00,3670.00,3669.00,3670.00,191,0\r\n2006-01-04,18:27:00,3669.00,3670.00,3669.00,3670.00,787,0\r\n2006-01-04,18:28:00,3670.00,3670.00,3669.00,3669.00,195,0\r\n2006-01-04,18:29:00,3669.00,3669.00,3668.00,3668.00,31,0\r\n2006-01-04,18:30:00,3669.00,3669.00,3668.00,3669.00,731,0\r\n2006-01-04,18:31:00,3668.00,3668.00,3667.00,3667.00,1137,0\r\n2006-01-04,18:32:00,3668.00,3668.00,3668.00,3668.00,308,0\r\n2006-01-04,18:33:00,3667.00,3668.00,3667.00,3668.00,421,0\r\n2006-01-04,18:34:00,3668.00,3668.00,3668.00,3668.00,127,0\r\n2006-01-04,18:35:00,3667.00,3667.00,3667.00,3667.00,412,0\r\n2006-01-04,18:36:00,3666.00,3668.00,3666.00,3667.00,486,0\r\n2006-01-04,18:37:00,3667.00,3668.00,3667.00,3668.00,335,0\r\n2006-01-04,18:38:00,3668.00,3669.00,3668.00,3668.00,262,0\r\n2006-01-04,18:39:00,3668.00,3669.00,3668.00,3668.00,142,0\r\n2006-01-04,18:41:00,3667.00,3667.00,3667.00,3667.00,226,0\r\n2006-01-04,18:42:00,3667.00,3667.00,3667.00,3667.00,115,0\r\n2006-01-04,18:43:00,3667.00,3668.00,3667.00,3668.00,12,0\r\n2006-01-04,18:44:00,3668.00,3668.00,3668.00,3668.00,251,0\r\n2006-01-04,18:45:00,3668.00,3668.00,3667.00,3668.00,152,0\r\n2006-01-04,18:46:00,3669.00,3669.00,3668.00,3669.00,284,0\r\n2006-01-04,18:47:00,3669.00,3669.00,3667.00,3668.00,60,0\r\n2006-01-04,18:48:00,3668.00,3668.00,3667.00,3667.00,339,0\r\n2006-01-04,18:49:00,3667.00,3667.00,3667.00,3667.00,21,0\r\n2006-01-04,18:50:00,3666.00,3666.00,3666.00,3666.00,16,0\r\n2006-01-04,18:51:00,3666.00,3666.00,3666.00,3666.00,6,0\r\n2006-01-04,18:52:00,3666.00,3667.00,3666.00,3666.00,248,0\r\n2006-01-04,18:53:00,3666.00,3666.00,3666.00,3666.00,53,0\r\n2006-01-04,18:54:00,3667.00,3667.00,3666.00,3666.00,106,0\r\n2006-01-04,18:55:00,3667.00,3667.00,3667.00,3667.00,245,0\r\n2006-01-04,18:56:00,3668.00,3668.00,3667.00,3667.00,284,0\r\n2006-01-04,18:57:00,3668.00,3668.00,3668.00,3668.00,41,0\r\n2006-01-04,18:58:00,3668.00,3668.00,3666.00,3666.00,273,0\r\n2006-01-04,18:59:00,3666.00,3666.00,3666.00,3666.00,9,0\r\n2006-01-04,19:00:00,3666.00,3666.00,3665.00,3665.00,418,0\r\n2006-01-04,19:01:00,3665.00,3666.00,3663.00,3664.00,1074,0\r\n2006-01-04,19:02:00,3664.00,3664.00,3662.00,3663.00,608,0\r\n2006-01-04,19:03:00,3663.00,3663.00,3662.00,3662.00,817,0\r\n2006-01-04,19:04:00,3662.00,3663.00,3662.00,3662.00,445,0\r\n2006-01-04,19:05:00,3662.00,3663.00,3662.00,3663.00,430,0\r\n2006-01-04,19:06:00,3663.00,3663.00,3663.00,3663.00,316,0\r\n2006-01-04,19:07:00,3663.00,3663.00,3663.00,3663.00,131,0\r\n2006-01-04,19:08:00,3663.00,3663.00,3663.00,3663.00,5,0\r\n2006-01-04,19:09:00,3664.00,3664.00,3664.00,3664.00,13,0\r\n2006-01-04,19:10:00,3664.00,3664.00,3663.00,3663.00,15,0\r\n2006-01-04,19:11:00,3663.00,3663.00,3663.00,3663.00,8,0\r\n2006-01-04,19:12:00,3663.00,3663.00,3663.00,3663.00,61,0\r\n2006-01-04,19:13:00,3663.00,3663.00,3661.00,3661.00,377,0\r\n2006-01-04,19:14:00,3662.00,3662.00,3659.00,3659.00,950,0\r\n2006-01-04,19:15:00,3659.00,3660.00,3659.00,3660.00,578,0\r\n2006-01-04,19:16:00,3660.00,3663.00,3660.00,3662.00,391,0\r\n2006-01-04,19:17:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-04,19:18:00,3663.00,3664.00,3663.00,3664.00,211,0\r\n2006-01-04,19:19:00,3664.00,3664.00,3664.00,3664.00,327,0\r\n2006-01-04,19:20:00,3663.00,3663.00,3663.00,3663.00,152,0\r\n2006-01-04,19:21:00,3662.00,3663.00,3662.00,3663.00,31,0\r\n2006-01-04,19:22:00,3663.00,3663.00,3663.00,3663.00,5,0\r\n2006-01-04,19:23:00,3662.00,3662.00,3662.00,3662.00,42,0\r\n2006-01-04,19:24:00,3662.00,3662.00,3662.00,3662.00,152,0\r\n2006-01-04,19:25:00,3662.00,3662.00,3662.00,3662.00,43,0\r\n2006-01-04,19:26:00,3662.00,3662.00,3661.00,3662.00,80,0\r\n2006-01-04,19:28:00,3662.00,3663.00,3662.00,3662.00,401,0\r\n2006-01-04,19:29:00,3663.00,3663.00,3662.00,3663.00,286,0\r\n2006-01-04,19:30:00,3663.00,3663.00,3662.00,3662.00,15,0\r\n2006-01-04,19:31:00,3663.00,3664.00,3663.00,3664.00,211,0\r\n2006-01-04,19:32:00,3664.00,3664.00,3662.00,3662.00,252,0\r\n2006-01-04,19:33:00,3662.00,3662.00,3661.00,3662.00,183,0\r\n2006-01-04,19:34:00,3662.00,3662.00,3661.00,3661.00,192,0\r\n2006-01-04,19:35:00,3662.00,3662.00,3659.00,3659.00,443,0\r\n2006-01-04,19:36:00,3659.00,3659.00,3657.00,3658.00,1213,0\r\n2006-01-04,19:37:00,3658.00,3658.00,3657.00,3658.00,861,0\r\n2006-01-04,19:38:00,3657.00,3658.00,3657.00,3658.00,28,0\r\n2006-01-04,19:39:00,3658.00,3659.00,3658.00,3659.00,434,0\r\n2006-01-04,19:40:00,3659.00,3659.00,3657.00,3657.00,660,0\r\n2006-01-04,19:41:00,3658.00,3659.00,3658.00,3659.00,140,0\r\n2006-01-04,19:43:00,3659.00,3659.00,3659.00,3659.00,146,0\r\n2006-01-04,19:44:00,3659.00,3659.00,3659.00,3659.00,14,0\r\n2006-01-04,19:45:00,3659.00,3660.00,3659.00,3660.00,255,0\r\n2006-01-04,19:46:00,3659.00,3660.00,3658.00,3660.00,348,0\r\n2006-01-04,19:47:00,3660.00,3660.00,3659.00,3659.00,476,0\r\n2006-01-04,19:48:00,3659.00,3660.00,3659.00,3660.00,41,0\r\n2006-01-04,19:49:00,3660.00,3660.00,3659.00,3660.00,129,0\r\n2006-01-04,19:50:00,3661.00,3661.00,3661.00,3661.00,2,0\r\n2006-01-04,19:51:00,3661.00,3661.00,3661.00,3661.00,6,0\r\n2006-01-04,19:52:00,3660.00,3660.00,3660.00,3660.00,119,0\r\n2006-01-04,19:53:00,3660.00,3661.00,3659.00,3661.00,93,0\r\n2006-01-04,19:54:00,3661.00,3661.00,3661.00,3661.00,4,0\r\n2006-01-04,19:56:00,3660.00,3660.00,3659.00,3659.00,213,0\r\n2006-01-04,19:57:00,3659.00,3660.00,3659.00,3659.00,197,0\r\n2006-01-04,19:58:00,3660.00,3660.00,3660.00,3660.00,116,0\r\n2006-01-04,19:59:00,3660.00,3660.00,3659.00,3660.00,133,0\r\n2006-01-04,20:00:00,3660.00,3660.00,3658.00,3658.00,176,0\r\n2006-01-04,20:01:00,3659.00,3659.00,3658.00,3659.00,21,0\r\n2006-01-04,20:02:00,3659.00,3659.00,3659.00,3659.00,15,0\r\n2006-01-04,20:03:00,3660.00,3660.00,3660.00,3660.00,95,0\r\n2006-01-04,20:04:00,3660.00,3660.00,3660.00,3660.00,196,0\r\n2006-01-04,20:08:00,3660.00,3660.00,3660.00,3660.00,29,0\r\n2006-01-04,20:09:00,3660.00,3660.00,3660.00,3660.00,18,0\r\n2006-01-04,20:10:00,3659.00,3659.00,3658.00,3658.00,64,0\r\n2006-01-04,20:11:00,3658.00,3658.00,3658.00,3658.00,188,0\r\n2006-01-04,20:12:00,3657.00,3659.00,3657.00,3659.00,19,0\r\n2006-01-04,20:13:00,3658.00,3658.00,3658.00,3658.00,18,0\r\n2006-01-04,20:14:00,3658.00,3658.00,3656.00,3656.00,131,0\r\n2006-01-04,20:15:00,3656.00,3658.00,3656.00,3656.00,287,0\r\n2006-01-04,20:16:00,3656.00,3657.00,3656.00,3657.00,145,0\r\n2006-01-04,20:17:00,3658.00,3658.00,3657.00,3657.00,8,0\r\n2006-01-04,20:18:00,3658.00,3659.00,3658.00,3659.00,109,0\r\n2006-01-04,20:20:00,3658.00,3658.00,3658.00,3658.00,5,0\r\n2006-01-04,20:21:00,3658.00,3659.00,3658.00,3659.00,231,0\r\n2006-01-04,20:22:00,3659.00,3660.00,3659.00,3660.00,54,0\r\n2006-01-04,20:23:00,3659.00,3660.00,3659.00,3660.00,25,0\r\n2006-01-04,20:24:00,3660.00,3661.00,3660.00,3661.00,118,0\r\n2006-01-04,20:25:00,3661.00,3661.00,3660.00,3660.00,64,0\r\n2006-01-04,20:26:00,3660.00,3660.00,3659.00,3659.00,37,0\r\n2006-01-04,20:27:00,3659.00,3659.00,3659.00,3659.00,100,0\r\n2006-01-04,20:28:00,3660.00,3660.00,3659.00,3659.00,142,0\r\n2006-01-04,20:29:00,3659.00,3659.00,3659.00,3659.00,39,0\r\n2006-01-04,20:30:00,3660.00,3660.00,3660.00,3660.00,10,0\r\n2006-01-04,20:31:00,3660.00,3660.00,3659.00,3659.00,97,0\r\n2006-01-04,20:35:00,3660.00,3660.00,3660.00,3660.00,2,0\r\n2006-01-04,20:36:00,3660.00,3660.00,3660.00,3660.00,216,0\r\n2006-01-04,20:37:00,3661.00,3661.00,3661.00,3661.00,17,0\r\n2006-01-04,20:38:00,3660.00,3660.00,3660.00,3660.00,124,0\r\n2006-01-04,20:40:00,3660.00,3660.00,3660.00,3660.00,22,0\r\n2006-01-04,20:41:00,3659.00,3660.00,3659.00,3659.00,23,0\r\n2006-01-04,20:42:00,3660.00,3660.00,3660.00,3660.00,10,0\r\n2006-01-04,20:43:00,3660.00,3661.00,3660.00,3661.00,16,0\r\n2006-01-04,20:44:00,3661.00,3662.00,3661.00,3662.00,106,0\r\n2006-01-04,20:45:00,3663.00,3663.00,3662.00,3662.00,86,0\r\n2006-01-04,20:46:00,3663.00,3663.00,3663.00,3663.00,48,0\r\n2006-01-04,20:47:00,3663.00,3663.00,3663.00,3663.00,10,0\r\n2006-01-04,20:48:00,3663.00,3663.00,3663.00,3663.00,8,0\r\n2006-01-04,20:49:00,3662.00,3665.00,3662.00,3663.00,103,0\r\n2006-01-04,20:50:00,3663.00,3663.00,3663.00,3663.00,7,0\r\n2006-01-04,20:51:00,3664.00,3664.00,3664.00,3664.00,50,0\r\n2006-01-04,20:52:00,3664.00,3664.00,3664.00,3664.00,15,0\r\n2006-01-04,20:53:00,3664.00,3664.00,3663.00,3663.00,18,0\r\n2006-01-04,20:54:00,3663.00,3663.00,3663.00,3663.00,49,0\r\n2006-01-04,20:55:00,3663.00,3663.00,3662.00,3662.00,3,0\r\n2006-01-04,20:56:00,3662.00,3662.00,3661.00,3662.00,27,0\r\n2006-01-04,20:57:00,3663.00,3663.00,3663.00,3663.00,6,0\r\n2006-01-04,20:58:00,3664.00,3664.00,3663.00,3663.00,10,0\r\n2006-01-04,21:00:00,3663.00,3663.00,3663.00,3663.00,18,0\r\n2006-01-04,21:01:00,3662.00,3662.00,3662.00,3662.00,6,0\r\n2006-01-04,21:02:00,3662.00,3662.00,3662.00,3662.00,4,0\r\n2006-01-04,21:03:00,3663.00,3664.00,3663.00,3664.00,51,0\r\n2006-01-04,21:05:00,3663.00,3663.00,3663.00,3663.00,5,0\r\n2006-01-04,21:07:00,3664.00,3664.00,3663.00,3663.00,228,0\r\n2006-01-04,21:08:00,3664.00,3664.00,3664.00,3664.00,5,0\r\n2006-01-04,21:09:00,3664.00,3664.00,3664.00,3664.00,7,0\r\n2006-01-04,21:10:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-04,21:13:00,3664.00,3664.00,3663.00,3664.00,31,0\r\n2006-01-04,21:14:00,3664.00,3664.00,3664.00,3664.00,6,0\r\n2006-01-04,21:15:00,3663.00,3664.00,3663.00,3664.00,83,0\r\n2006-01-04,21:16:00,3664.00,3664.00,3664.00,3664.00,19,0\r\n2006-01-04,21:17:00,3663.00,3663.00,3662.00,3662.00,129,0\r\n2006-01-04,21:18:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-04,21:19:00,3662.00,3662.00,3662.00,3662.00,46,0\r\n2006-01-04,21:20:00,3662.00,3663.00,3662.00,3663.00,109,0\r\n2006-01-04,21:21:00,3663.00,3663.00,3662.00,3663.00,107,0\r\n2006-01-04,21:22:00,3664.00,3665.00,3664.00,3665.00,130,0\r\n2006-01-04,21:23:00,3665.00,3666.00,3665.00,3665.00,36,0\r\n2006-01-04,21:24:00,3666.00,3667.00,3666.00,3667.00,120,0\r\n2006-01-04,21:25:00,3666.00,3666.00,3666.00,3666.00,3,0\r\n2006-01-04,21:27:00,3667.00,3667.00,3667.00,3667.00,6,0\r\n2006-01-04,21:28:00,3667.00,3668.00,3667.00,3668.00,8,0\r\n2006-01-04,21:29:00,3668.00,3668.00,3668.00,3668.00,22,0\r\n2006-01-04,21:30:00,3668.00,3668.00,3668.00,3668.00,9,0\r\n2006-01-04,21:31:00,3668.00,3669.00,3668.00,3669.00,11,0\r\n2006-01-04,21:32:00,3669.00,3670.00,3668.00,3670.00,419,0\r\n2006-01-04,21:33:00,3669.00,3669.00,3669.00,3669.00,72,0\r\n2006-01-04,21:34:00,3669.00,3670.00,3669.00,3670.00,2,0\r\n2006-01-04,21:35:00,3669.00,3669.00,3668.00,3669.00,122,0\r\n2006-01-04,21:36:00,3668.00,3669.00,3668.00,3668.00,31,0\r\n2006-01-04,21:37:00,3668.00,3668.00,3668.00,3668.00,40,0\r\n2006-01-04,21:38:00,3669.00,3669.00,3667.00,3668.00,353,0\r\n2006-01-04,21:39:00,3669.00,3669.00,3668.00,3669.00,35,0\r\n2006-01-04,21:40:00,3669.00,3669.00,3669.00,3669.00,37,0\r\n2006-01-04,21:41:00,3668.00,3668.00,3668.00,3668.00,71,0\r\n2006-01-04,21:42:00,3667.00,3668.00,3667.00,3668.00,48,0\r\n2006-01-04,21:44:00,3668.00,3669.00,3668.00,3669.00,4,0\r\n2006-01-04,21:45:00,3669.00,3669.00,3669.00,3669.00,50,0\r\n2006-01-04,21:46:00,3668.00,3668.00,3668.00,3668.00,100,0\r\n2006-01-04,21:47:00,3669.00,3669.00,3669.00,3669.00,14,0\r\n2006-01-04,21:48:00,3668.00,3668.00,3668.00,3668.00,32,0\r\n2006-01-04,21:49:00,3668.00,3668.00,3668.00,3668.00,14,0\r\n2006-01-04,21:50:00,3669.00,3669.00,3669.00,3669.00,10,0\r\n2006-01-04,21:51:00,3668.00,3668.00,3668.00,3668.00,125,0\r\n2006-01-04,21:53:00,3668.00,3668.00,3668.00,3668.00,22,0\r\n2006-01-04,21:54:00,3669.00,3669.00,3668.00,3669.00,31,0\r\n2006-01-04,21:55:00,3669.00,3669.00,3669.00,3669.00,34,0\r\n2006-01-04,21:56:00,3669.00,3669.00,3668.00,3669.00,47,0\r\n2006-01-04,21:57:00,3669.00,3669.00,3667.00,3667.00,43,0\r\n2006-01-04,21:58:00,3668.00,3668.00,3667.00,3667.00,64,0\r\n2006-01-04,21:59:00,3667.00,3668.00,3666.00,3666.00,58,0\r\n2006-01-04,22:00:00,3667.00,3668.00,3666.00,3666.00,317,0\r\n2006-01-05,09:01:00,3667.00,3667.00,3665.00,3665.00,2698,0\r\n2006-01-05,09:02:00,3666.00,3666.00,3660.00,3662.00,4627,0\r\n2006-01-05,09:03:00,3661.00,3663.00,3661.00,3662.00,1455,0\r\n2006-01-05,09:04:00,3662.00,3663.00,3659.00,3659.00,2041,0\r\n2006-01-05,09:05:00,3660.00,3662.00,3660.00,3661.00,1267,0\r\n2006-01-05,09:06:00,3661.00,3662.00,3660.00,3661.00,682,0\r\n2006-01-05,09:07:00,3661.00,3662.00,3661.00,3662.00,608,0\r\n2006-01-05,09:08:00,3662.00,3663.00,3661.00,3661.00,1051,0\r\n2006-01-05,09:09:00,3662.00,3662.00,3660.00,3660.00,964,0\r\n2006-01-05,09:10:00,3659.00,3660.00,3658.00,3659.00,1460,0\r\n2006-01-05,09:11:00,3659.00,3660.00,3659.00,3660.00,1166,0\r\n2006-01-05,09:12:00,3660.00,3661.00,3659.00,3661.00,566,0\r\n2006-01-05,09:13:00,3661.00,3663.00,3661.00,3662.00,653,0\r\n2006-01-05,09:14:00,3662.00,3662.00,3660.00,3661.00,527,0\r\n2006-01-05,09:15:00,3661.00,3662.00,3661.00,3661.00,512,0\r\n2006-01-05,09:16:00,3661.00,3661.00,3659.00,3659.00,1351,0\r\n2006-01-05,09:17:00,3660.00,3660.00,3659.00,3659.00,471,0\r\n2006-01-05,09:18:00,3659.00,3659.00,3657.00,3659.00,1621,0\r\n2006-01-05,09:19:00,3659.00,3659.00,3658.00,3659.00,689,0\r\n2006-01-05,09:20:00,3659.00,3659.00,3658.00,3658.00,282,0\r\n2006-01-05,09:21:00,3658.00,3659.00,3657.00,3658.00,930,0\r\n2006-01-05,09:22:00,3658.00,3658.00,3657.00,3658.00,1135,0\r\n2006-01-05,09:23:00,3658.00,3659.00,3657.00,3658.00,1038,0\r\n2006-01-05,09:24:00,3659.00,3659.00,3658.00,3658.00,202,0\r\n2006-01-05,09:25:00,3659.00,3659.00,3658.00,3659.00,41,0\r\n2006-01-05,09:26:00,3658.00,3658.00,3658.00,3658.00,330,0\r\n2006-01-05,09:27:00,3658.00,3662.00,3658.00,3660.00,1831,0\r\n2006-01-05,09:28:00,3661.00,3662.00,3660.00,3661.00,659,0\r\n2006-01-05,09:29:00,3661.00,3661.00,3661.00,3661.00,315,0\r\n2006-01-05,09:30:00,3661.00,3661.00,3661.00,3661.00,21,0\r\n2006-01-05,09:31:00,3662.00,3662.00,3661.00,3662.00,132,0\r\n2006-01-05,09:32:00,3662.00,3663.00,3662.00,3662.00,595,0\r\n2006-01-05,09:33:00,3662.00,3663.00,3662.00,3663.00,476,0\r\n2006-01-05,09:34:00,3663.00,3663.00,3662.00,3663.00,531,0\r\n2006-01-05,09:35:00,3663.00,3664.00,3663.00,3664.00,109,0\r\n2006-01-05,09:36:00,3663.00,3664.00,3663.00,3664.00,59,0\r\n2006-01-05,09:37:00,3663.00,3664.00,3662.00,3663.00,782,0\r\n2006-01-05,09:38:00,3663.00,3663.00,3662.00,3663.00,374,0\r\n2006-01-05,09:39:00,3663.00,3664.00,3663.00,3663.00,307,0\r\n2006-01-05,09:40:00,3663.00,3663.00,3661.00,3662.00,594,0\r\n2006-01-05,09:41:00,3662.00,3663.00,3662.00,3663.00,487,0\r\n2006-01-05,09:42:00,3662.00,3662.00,3662.00,3662.00,439,0\r\n2006-01-05,09:43:00,3662.00,3662.00,3662.00,3662.00,97,0\r\n2006-01-05,09:44:00,3662.00,3663.00,3660.00,3660.00,1308,0\r\n2006-01-05,09:45:00,3660.00,3660.00,3658.00,3658.00,2116,0\r\n2006-01-05,09:46:00,3658.00,3660.00,3658.00,3658.00,1117,0\r\n2006-01-05,09:47:00,3659.00,3660.00,3659.00,3659.00,637,0\r\n2006-01-05,09:48:00,3659.00,3659.00,3656.00,3656.00,702,0\r\n2006-01-05,09:49:00,3656.00,3658.00,3656.00,3658.00,806,0\r\n2006-01-05,09:50:00,3658.00,3658.00,3657.00,3658.00,677,0\r\n2006-01-05,09:51:00,3659.00,3660.00,3658.00,3660.00,231,0\r\n2006-01-05,09:52:00,3660.00,3661.00,3660.00,3660.00,699,0\r\n2006-01-05,09:53:00,3660.00,3661.00,3659.00,3660.00,1808,0\r\n2006-01-05,09:54:00,3659.00,3661.00,3659.00,3661.00,353,0\r\n2006-01-05,09:55:00,3661.00,3661.00,3660.00,3661.00,538,0\r\n2006-01-05,09:56:00,3660.00,3660.00,3659.00,3660.00,397,0\r\n2006-01-05,09:57:00,3660.00,3661.00,3660.00,3661.00,387,0\r\n2006-01-05,09:58:00,3660.00,3661.00,3660.00,3660.00,29,0\r\n2006-01-05,09:59:00,3660.00,3660.00,3658.00,3659.00,1078,0\r\n2006-01-05,10:00:00,3659.00,3661.00,3658.00,3660.00,784,0\r\n2006-01-05,10:01:00,3660.00,3660.00,3659.00,3659.00,1186,0\r\n2006-01-05,10:02:00,3660.00,3660.00,3658.00,3659.00,355,0\r\n2006-01-05,10:03:00,3659.00,3659.00,3659.00,3659.00,323,0\r\n2006-01-05,10:04:00,3660.00,3660.00,3659.00,3660.00,177,0\r\n2006-01-05,10:05:00,3659.00,3659.00,3659.00,3659.00,9,0\r\n2006-01-05,10:06:00,3659.00,3660.00,3659.00,3659.00,57,0\r\n2006-01-05,10:07:00,3659.00,3661.00,3659.00,3661.00,742,0\r\n2006-01-05,10:08:00,3661.00,3662.00,3660.00,3661.00,920,0\r\n2006-01-05,10:09:00,3661.00,3662.00,3660.00,3661.00,919,0\r\n2006-01-05,10:10:00,3660.00,3660.00,3658.00,3658.00,1353,0\r\n2006-01-05,10:11:00,3658.00,3659.00,3657.00,3658.00,1055,0\r\n2006-01-05,10:12:00,3657.00,3657.00,3656.00,3656.00,1855,0\r\n2006-01-05,10:13:00,3657.00,3658.00,3655.00,3655.00,1929,0\r\n2006-01-05,10:14:00,3655.00,3658.00,3655.00,3657.00,619,0\r\n2006-01-05,10:15:00,3657.00,3658.00,3656.00,3656.00,791,0\r\n2006-01-05,10:16:00,3657.00,3657.00,3656.00,3657.00,823,0\r\n2006-01-05,10:17:00,3657.00,3657.00,3656.00,3656.00,1064,0\r\n2006-01-05,10:18:00,3656.00,3657.00,3656.00,3656.00,125,0\r\n2006-01-05,10:19:00,3656.00,3656.00,3654.00,3656.00,1297,0\r\n2006-01-05,10:20:00,3656.00,3657.00,3656.00,3657.00,514,0\r\n2006-01-05,10:21:00,3657.00,3657.00,3656.00,3657.00,1013,0\r\n2006-01-05,10:22:00,3657.00,3658.00,3657.00,3658.00,1262,0\r\n2006-01-05,10:23:00,3658.00,3658.00,3657.00,3658.00,227,0\r\n2006-01-05,10:24:00,3658.00,3661.00,3658.00,3661.00,752,0\r\n2006-01-05,10:25:00,3661.00,3661.00,3660.00,3660.00,1058,0\r\n2006-01-05,10:26:00,3660.00,3660.00,3659.00,3660.00,277,0\r\n2006-01-05,10:27:00,3660.00,3660.00,3659.00,3660.00,57,0\r\n2006-01-05,10:28:00,3659.00,3661.00,3659.00,3660.00,1458,0\r\n2006-01-05,10:29:00,3660.00,3660.00,3659.00,3659.00,4554,0\r\n2006-01-05,10:30:00,3659.00,3659.00,3658.00,3659.00,934,0\r\n2006-01-05,10:31:00,3659.00,3659.00,3658.00,3658.00,187,0\r\n2006-01-05,10:32:00,3659.00,3659.00,3658.00,3659.00,184,0\r\n2006-01-05,10:33:00,3659.00,3660.00,3659.00,3660.00,83,0\r\n2006-01-05,10:34:00,3660.00,3661.00,3659.00,3661.00,1025,0\r\n2006-01-05,10:35:00,3661.00,3661.00,3661.00,3661.00,1718,0\r\n2006-01-05,10:36:00,3661.00,3661.00,3660.00,3661.00,84,0\r\n2006-01-05,10:37:00,3660.00,3661.00,3660.00,3661.00,354,0\r\n2006-01-05,10:38:00,3660.00,3661.00,3660.00,3661.00,15,0\r\n2006-01-05,10:39:00,3661.00,3661.00,3660.00,3661.00,153,0\r\n2006-01-05,10:40:00,3661.00,3661.00,3661.00,3661.00,180,0\r\n2006-01-05,10:41:00,3661.00,3663.00,3661.00,3663.00,2338,0\r\n2006-01-05,10:42:00,3662.00,3663.00,3662.00,3663.00,451,0\r\n2006-01-05,10:43:00,3662.00,3663.00,3662.00,3663.00,28,0\r\n2006-01-05,10:44:00,3663.00,3664.00,3663.00,3664.00,430,0\r\n2006-01-05,10:45:00,3664.00,3665.00,3663.00,3665.00,1585,0\r\n2006-01-05,10:46:00,3664.00,3666.00,3664.00,3665.00,2034,0\r\n2006-01-05,10:47:00,3665.00,3666.00,3664.00,3666.00,858,0\r\n2006-01-05,10:48:00,3666.00,3666.00,3665.00,3665.00,278,0\r\n2006-01-05,10:49:00,3665.00,3665.00,3663.00,3663.00,395,0\r\n2006-01-05,10:50:00,3663.00,3664.00,3663.00,3664.00,330,0\r\n2006-01-05,10:51:00,3664.00,3664.00,3663.00,3663.00,150,0\r\n2006-01-05,10:52:00,3664.00,3664.00,3663.00,3664.00,211,0\r\n2006-01-05,10:53:00,3664.00,3664.00,3663.00,3664.00,100,0\r\n2006-01-05,10:54:00,3664.00,3664.00,3664.00,3664.00,13,0\r\n2006-01-05,10:55:00,3664.00,3664.00,3664.00,3664.00,501,0\r\n2006-01-05,10:56:00,3664.00,3665.00,3664.00,3664.00,796,0\r\n2006-01-05,10:57:00,3664.00,3664.00,3664.00,3664.00,1146,0\r\n2006-01-05,10:58:00,3664.00,3664.00,3663.00,3664.00,71,0\r\n2006-01-05,10:59:00,3664.00,3664.00,3664.00,3664.00,170,0\r\n2006-01-05,11:00:00,3664.00,3664.00,3663.00,3663.00,1477,0\r\n2006-01-05,11:01:00,3664.00,3665.00,3663.00,3663.00,1230,0\r\n2006-01-05,11:02:00,3663.00,3663.00,3663.00,3663.00,220,0\r\n2006-01-05,11:03:00,3663.00,3663.00,3662.00,3662.00,17,0\r\n2006-01-05,11:04:00,3663.00,3663.00,3662.00,3662.00,227,0\r\n2006-01-05,11:05:00,3663.00,3663.00,3660.00,3660.00,2171,0\r\n2006-01-05,11:06:00,3660.00,3661.00,3659.00,3660.00,743,0\r\n2006-01-05,11:07:00,3661.00,3661.00,3660.00,3660.00,254,0\r\n2006-01-05,11:08:00,3661.00,3661.00,3661.00,3661.00,394,0\r\n2006-01-05,11:09:00,3662.00,3662.00,3661.00,3662.00,239,0\r\n2006-01-05,11:10:00,3662.00,3662.00,3662.00,3662.00,52,0\r\n2006-01-05,11:11:00,3661.00,3662.00,3661.00,3661.00,192,0\r\n2006-01-05,11:12:00,3662.00,3662.00,3662.00,3662.00,113,0\r\n2006-01-05,11:13:00,3662.00,3662.00,3662.00,3662.00,23,0\r\n2006-01-05,11:14:00,3661.00,3661.00,3661.00,3661.00,15,0\r\n2006-01-05,11:15:00,3661.00,3662.00,3661.00,3662.00,23,0\r\n2006-01-05,11:16:00,3662.00,3663.00,3662.00,3663.00,399,0\r\n2006-01-05,11:17:00,3663.00,3663.00,3662.00,3662.00,435,0\r\n2006-01-05,11:18:00,3662.00,3662.00,3661.00,3661.00,481,0\r\n2006-01-05,11:19:00,3661.00,3661.00,3659.00,3659.00,904,0\r\n2006-01-05,11:20:00,3659.00,3660.00,3659.00,3659.00,24,0\r\n2006-01-05,11:21:00,3660.00,3660.00,3659.00,3659.00,149,0\r\n2006-01-05,11:22:00,3660.00,3660.00,3660.00,3660.00,206,0\r\n2006-01-05,11:23:00,3660.00,3660.00,3659.00,3660.00,443,0\r\n2006-01-05,11:24:00,3660.00,3660.00,3659.00,3660.00,234,0\r\n2006-01-05,11:25:00,3660.00,3661.00,3660.00,3660.00,269,0\r\n2006-01-05,11:26:00,3661.00,3661.00,3659.00,3659.00,330,0\r\n2006-01-05,11:27:00,3659.00,3659.00,3659.00,3659.00,52,0\r\n2006-01-05,11:28:00,3659.00,3659.00,3657.00,3658.00,1493,0\r\n2006-01-05,11:29:00,3658.00,3658.00,3658.00,3658.00,84,0\r\n2006-01-05,11:30:00,3659.00,3659.00,3659.00,3659.00,300,0\r\n2006-01-05,11:31:00,3659.00,3659.00,3659.00,3659.00,511,0\r\n2006-01-05,11:32:00,3659.00,3659.00,3659.00,3659.00,137,0\r\n2006-01-05,11:34:00,3660.00,3660.00,3659.00,3660.00,890,0\r\n2006-01-05,11:36:00,3660.00,3660.00,3660.00,3660.00,1,0\r\n2006-01-05,11:37:00,3661.00,3663.00,3660.00,3663.00,1027,0\r\n2006-01-05,11:38:00,3662.00,3663.00,3662.00,3662.00,20,0\r\n2006-01-05,11:39:00,3662.00,3664.00,3662.00,3664.00,409,0\r\n2006-01-05,11:40:00,3664.00,3664.00,3662.00,3662.00,280,0\r\n2006-01-05,11:41:00,3663.00,3663.00,3662.00,3662.00,18,0\r\n2006-01-05,11:42:00,3663.00,3663.00,3662.00,3662.00,177,0\r\n2006-01-05,11:43:00,3662.00,3662.00,3662.00,3662.00,319,0\r\n2006-01-05,11:44:00,3663.00,3663.00,3663.00,3663.00,32,0\r\n2006-01-05,11:45:00,3662.00,3663.00,3662.00,3663.00,138,0\r\n2006-01-05,11:46:00,3662.00,3663.00,3662.00,3663.00,15,0\r\n2006-01-05,11:47:00,3662.00,3663.00,3662.00,3662.00,271,0\r\n2006-01-05,11:48:00,3663.00,3663.00,3663.00,3663.00,250,0\r\n2006-01-05,11:49:00,3663.00,3664.00,3663.00,3663.00,140,0\r\n2006-01-05,11:50:00,3663.00,3663.00,3663.00,3663.00,11,0\r\n2006-01-05,11:51:00,3663.00,3664.00,3663.00,3663.00,191,0\r\n2006-01-05,11:52:00,3663.00,3663.00,3663.00,3663.00,22,0\r\n2006-01-05,11:53:00,3663.00,3664.00,3663.00,3664.00,20,0\r\n2006-01-05,11:54:00,3663.00,3664.00,3663.00,3664.00,67,0\r\n2006-01-05,11:55:00,3664.00,3664.00,3663.00,3664.00,546,0\r\n2006-01-05,11:56:00,3664.00,3665.00,3664.00,3664.00,358,0\r\n2006-01-05,11:57:00,3665.00,3665.00,3664.00,3664.00,55,0\r\n2006-01-05,11:58:00,3665.00,3665.00,3664.00,3664.00,4,0\r\n2006-01-05,11:59:00,3664.00,3665.00,3664.00,3665.00,148,0\r\n2006-01-05,12:00:00,3665.00,3666.00,3665.00,3666.00,502,0\r\n2006-01-05,12:01:00,3666.00,3666.00,3665.00,3665.00,108,0\r\n2006-01-05,12:02:00,3665.00,3665.00,3665.00,3665.00,367,0\r\n2006-01-05,12:03:00,3665.00,3666.00,3664.00,3664.00,187,0\r\n2006-01-05,12:05:00,3664.00,3665.00,3664.00,3664.00,3332,0\r\n2006-01-05,12:06:00,3665.00,3665.00,3664.00,3664.00,981,0\r\n2006-01-05,12:07:00,3665.00,3665.00,3664.00,3665.00,997,0\r\n2006-01-05,12:08:00,3665.00,3666.00,3665.00,3665.00,143,0\r\n2006-01-05,12:09:00,3666.00,3666.00,3664.00,3664.00,215,0\r\n2006-01-05,12:10:00,3665.00,3665.00,3664.00,3664.00,257,0\r\n2006-01-05,12:11:00,3664.00,3664.00,3663.00,3663.00,1361,0\r\n2006-01-05,12:12:00,3663.00,3663.00,3662.00,3663.00,387,0\r\n2006-01-05,12:13:00,3662.00,3663.00,3662.00,3663.00,35,0\r\n2006-01-05,12:14:00,3663.00,3664.00,3662.00,3663.00,81,0\r\n2006-01-05,12:15:00,3663.00,3663.00,3662.00,3662.00,133,0\r\n2006-01-05,12:16:00,3662.00,3663.00,3662.00,3663.00,810,0\r\n2006-01-05,12:17:00,3663.00,3664.00,3663.00,3663.00,709,0\r\n2006-01-05,12:18:00,3664.00,3664.00,3663.00,3664.00,678,0\r\n2006-01-05,12:19:00,3664.00,3664.00,3663.00,3663.00,3,0\r\n2006-01-05,12:20:00,3663.00,3664.00,3663.00,3664.00,393,0\r\n2006-01-05,12:21:00,3664.00,3665.00,3663.00,3665.00,505,0\r\n2006-01-05,12:22:00,3664.00,3665.00,3664.00,3665.00,3,0\r\n2006-01-05,12:23:00,3664.00,3665.00,3664.00,3664.00,195,0\r\n2006-01-05,12:24:00,3665.00,3665.00,3665.00,3665.00,39,0\r\n2006-01-05,12:25:00,3664.00,3664.00,3664.00,3664.00,341,0\r\n2006-01-05,12:26:00,3664.00,3665.00,3663.00,3665.00,1743,0\r\n2006-01-05,12:27:00,3665.00,3666.00,3665.00,3665.00,1308,0\r\n2006-01-05,12:28:00,3665.00,3666.00,3665.00,3665.00,258,0\r\n2006-01-05,12:29:00,3665.00,3666.00,3665.00,3665.00,544,0\r\n2006-01-05,12:30:00,3665.00,3665.00,3663.00,3663.00,615,0\r\n2006-01-05,12:31:00,3664.00,3664.00,3663.00,3664.00,384,0\r\n2006-01-05,12:32:00,3664.00,3665.00,3664.00,3664.00,15,0\r\n2006-01-05,12:33:00,3664.00,3665.00,3664.00,3664.00,4,0\r\n2006-01-05,12:34:00,3664.00,3665.00,3664.00,3664.00,68,0\r\n2006-01-05,12:35:00,3665.00,3665.00,3664.00,3664.00,22,0\r\n2006-01-05,12:36:00,3665.00,3665.00,3663.00,3664.00,432,0\r\n2006-01-05,12:37:00,3664.00,3664.00,3663.00,3663.00,362,0\r\n2006-01-05,12:38:00,3664.00,3664.00,3663.00,3663.00,3,0\r\n2006-01-05,12:39:00,3664.00,3664.00,3664.00,3664.00,88,0\r\n2006-01-05,12:40:00,3664.00,3664.00,3663.00,3664.00,310,0\r\n2006-01-05,12:41:00,3664.00,3665.00,3663.00,3664.00,987,0\r\n2006-01-05,12:42:00,3663.00,3664.00,3663.00,3663.00,4,0\r\n2006-01-05,12:43:00,3663.00,3664.00,3663.00,3663.00,78,0\r\n2006-01-05,12:44:00,3664.00,3664.00,3663.00,3663.00,85,0\r\n2006-01-05,12:45:00,3663.00,3663.00,3663.00,3663.00,145,0\r\n2006-01-05,12:46:00,3664.00,3664.00,3663.00,3664.00,5,0\r\n2006-01-05,12:47:00,3664.00,3665.00,3664.00,3665.00,313,0\r\n2006-01-05,12:48:00,3664.00,3665.00,3664.00,3665.00,138,0\r\n2006-01-05,12:49:00,3664.00,3664.00,3664.00,3664.00,15,0\r\n2006-01-05,12:50:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-05,12:51:00,3665.00,3665.00,3664.00,3665.00,821,0\r\n2006-01-05,12:52:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-05,12:53:00,3665.00,3665.00,3664.00,3664.00,57,0\r\n2006-01-05,12:54:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,12:55:00,3665.00,3665.00,3664.00,3664.00,175,0\r\n2006-01-05,12:56:00,3664.00,3664.00,3664.00,3664.00,27,0\r\n2006-01-05,12:57:00,3664.00,3665.00,3664.00,3665.00,78,0\r\n2006-01-05,12:58:00,3665.00,3665.00,3664.00,3664.00,339,0\r\n2006-01-05,12:59:00,3664.00,3664.00,3663.00,3664.00,597,0\r\n2006-01-05,13:00:00,3665.00,3665.00,3664.00,3665.00,681,0\r\n2006-01-05,13:01:00,3664.00,3666.00,3664.00,3665.00,676,0\r\n2006-01-05,13:02:00,3666.00,3666.00,3665.00,3666.00,443,0\r\n2006-01-05,13:03:00,3666.00,3667.00,3666.00,3666.00,800,0\r\n2006-01-05,13:04:00,3666.00,3666.00,3666.00,3666.00,187,0\r\n2006-01-05,13:05:00,3666.00,3666.00,3665.00,3666.00,141,0\r\n2006-01-05,13:06:00,3665.00,3665.00,3665.00,3665.00,105,0\r\n2006-01-05,13:07:00,3666.00,3667.00,3666.00,3667.00,425,0\r\n2006-01-05,13:08:00,3666.00,3668.00,3666.00,3668.00,1557,0\r\n2006-01-05,13:09:00,3667.00,3670.00,3667.00,3669.00,2107,0\r\n2006-01-05,13:10:00,3669.00,3669.00,3668.00,3669.00,303,0\r\n2006-01-05,13:11:00,3669.00,3669.00,3668.00,3668.00,251,0\r\n2006-01-05,13:12:00,3668.00,3670.00,3668.00,3669.00,846,0\r\n2006-01-05,13:13:00,3670.00,3670.00,3669.00,3670.00,487,0\r\n2006-01-05,13:14:00,3669.00,3669.00,3669.00,3669.00,20,0\r\n2006-01-05,13:15:00,3669.00,3669.00,3668.00,3669.00,464,0\r\n2006-01-05,13:16:00,3669.00,3669.00,3668.00,3668.00,66,0\r\n2006-01-05,13:17:00,3668.00,3669.00,3668.00,3668.00,587,0\r\n2006-01-05,13:18:00,3668.00,3669.00,3668.00,3669.00,294,0\r\n2006-01-05,13:19:00,3668.00,3668.00,3668.00,3668.00,356,0\r\n2006-01-05,13:20:00,3668.00,3668.00,3667.00,3667.00,37,0\r\n2006-01-05,13:21:00,3668.00,3668.00,3667.00,3668.00,349,0\r\n2006-01-05,13:22:00,3668.00,3669.00,3668.00,3668.00,128,0\r\n2006-01-05,13:23:00,3668.00,3668.00,3668.00,3668.00,9,0\r\n2006-01-05,13:24:00,3669.00,3669.00,3668.00,3669.00,92,0\r\n2006-01-05,13:25:00,3668.00,3669.00,3668.00,3668.00,27,0\r\n2006-01-05,13:26:00,3668.00,3669.00,3668.00,3668.00,77,0\r\n2006-01-05,13:28:00,3668.00,3669.00,3668.00,3669.00,24,0\r\n2006-01-05,13:29:00,3669.00,3669.00,3669.00,3669.00,38,0\r\n2006-01-05,13:30:00,3669.00,3669.00,3669.00,3669.00,44,0\r\n2006-01-05,13:31:00,3669.00,3670.00,3669.00,3669.00,541,0\r\n2006-01-05,13:32:00,3670.00,3670.00,3669.00,3669.00,362,0\r\n2006-01-05,13:33:00,3669.00,3670.00,3669.00,3669.00,365,0\r\n2006-01-05,13:34:00,3669.00,3669.00,3669.00,3669.00,79,0\r\n2006-01-05,13:35:00,3669.00,3670.00,3669.00,3670.00,56,0\r\n2006-01-05,13:36:00,3669.00,3669.00,3669.00,3669.00,115,0\r\n2006-01-05,13:37:00,3669.00,3670.00,3669.00,3670.00,30,0\r\n2006-01-05,13:38:00,3669.00,3669.00,3669.00,3669.00,629,0\r\n2006-01-05,13:39:00,3669.00,3669.00,3668.00,3669.00,16,0\r\n2006-01-05,13:40:00,3669.00,3669.00,3669.00,3669.00,44,0\r\n2006-01-05,13:41:00,3669.00,3669.00,3668.00,3669.00,9,0\r\n2006-01-05,13:42:00,3669.00,3670.00,3669.00,3670.00,305,0\r\n2006-01-05,13:43:00,3669.00,3670.00,3669.00,3670.00,21,0\r\n2006-01-05,13:44:00,3669.00,3669.00,3669.00,3669.00,7,0\r\n2006-01-05,13:45:00,3669.00,3669.00,3669.00,3669.00,74,0\r\n2006-01-05,13:46:00,3670.00,3670.00,3670.00,3670.00,2,0\r\n2006-01-05,13:47:00,3670.00,3670.00,3669.00,3669.00,82,0\r\n2006-01-05,13:48:00,3669.00,3669.00,3669.00,3669.00,102,0\r\n2006-01-05,13:49:00,3669.00,3670.00,3669.00,3670.00,103,0\r\n2006-01-05,13:50:00,3669.00,3669.00,3669.00,3669.00,50,0\r\n2006-01-05,13:51:00,3669.00,3669.00,3668.00,3669.00,709,0\r\n2006-01-05,13:52:00,3668.00,3669.00,3668.00,3668.00,715,0\r\n2006-01-05,13:53:00,3667.00,3667.00,3666.00,3666.00,870,0\r\n2006-01-05,13:54:00,3666.00,3667.00,3665.00,3666.00,1987,0\r\n2006-01-05,13:55:00,3666.00,3666.00,3665.00,3665.00,69,0\r\n2006-01-05,13:56:00,3665.00,3666.00,3665.00,3666.00,660,0\r\n2006-01-05,13:57:00,3665.00,3666.00,3665.00,3665.00,360,0\r\n2006-01-05,13:58:00,3665.00,3666.00,3665.00,3665.00,140,0\r\n2006-01-05,13:59:00,3665.00,3666.00,3665.00,3666.00,145,0\r\n2006-01-05,14:00:00,3665.00,3665.00,3664.00,3665.00,105,0\r\n2006-01-05,14:01:00,3665.00,3665.00,3664.00,3665.00,154,0\r\n2006-01-05,14:02:00,3665.00,3665.00,3664.00,3665.00,74,0\r\n2006-01-05,14:03:00,3664.00,3664.00,3664.00,3664.00,34,0\r\n2006-01-05,14:04:00,3664.00,3664.00,3663.00,3663.00,467,0\r\n2006-01-05,14:05:00,3664.00,3664.00,3663.00,3663.00,253,0\r\n2006-01-05,14:06:00,3663.00,3664.00,3663.00,3664.00,893,0\r\n2006-01-05,14:07:00,3664.00,3665.00,3664.00,3665.00,118,0\r\n2006-01-05,14:08:00,3664.00,3665.00,3664.00,3664.00,105,0\r\n2006-01-05,14:09:00,3665.00,3665.00,3665.00,3665.00,682,0\r\n2006-01-05,14:10:00,3665.00,3665.00,3664.00,3664.00,149,0\r\n2006-01-05,14:11:00,3665.00,3665.00,3664.00,3665.00,39,0\r\n2006-01-05,14:12:00,3665.00,3665.00,3664.00,3665.00,1074,0\r\n2006-01-05,14:13:00,3665.00,3665.00,3664.00,3665.00,27,0\r\n2006-01-05,14:14:00,3665.00,3665.00,3664.00,3664.00,518,0\r\n2006-01-05,14:15:00,3664.00,3665.00,3664.00,3665.00,450,0\r\n2006-01-05,14:17:00,3665.00,3665.00,3665.00,3665.00,14,0\r\n2006-01-05,14:18:00,3664.00,3665.00,3664.00,3665.00,69,0\r\n2006-01-05,14:19:00,3664.00,3665.00,3664.00,3665.00,128,0\r\n2006-01-05,14:20:00,3664.00,3665.00,3664.00,3664.00,11,0\r\n2006-01-05,14:21:00,3665.00,3665.00,3665.00,3665.00,205,0\r\n2006-01-05,14:22:00,3665.00,3667.00,3665.00,3666.00,764,0\r\n2006-01-05,14:23:00,3667.00,3667.00,3666.00,3666.00,211,0\r\n2006-01-05,14:24:00,3666.00,3667.00,3666.00,3667.00,3,0\r\n2006-01-05,14:25:00,3666.00,3667.00,3666.00,3667.00,41,0\r\n2006-01-05,14:26:00,3667.00,3667.00,3666.00,3666.00,117,0\r\n2006-01-05,14:27:00,3666.00,3668.00,3666.00,3667.00,566,0\r\n2006-01-05,14:28:00,3667.00,3668.00,3666.00,3666.00,65,0\r\n2006-01-05,14:29:00,3666.00,3666.00,3666.00,3666.00,244,0\r\n2006-01-05,14:30:00,3666.00,3667.00,3666.00,3667.00,145,0\r\n2006-01-05,14:31:00,3667.00,3669.00,3667.00,3667.00,1790,0\r\n2006-01-05,14:32:00,3667.00,3667.00,3665.00,3666.00,1151,0\r\n2006-01-05,14:33:00,3665.00,3665.00,3665.00,3665.00,5,0\r\n2006-01-05,14:34:00,3666.00,3667.00,3666.00,3667.00,660,0\r\n2006-01-05,14:35:00,3667.00,3667.00,3666.00,3666.00,289,0\r\n2006-01-05,14:36:00,3666.00,3667.00,3666.00,3666.00,260,0\r\n2006-01-05,14:37:00,3666.00,3668.00,3666.00,3668.00,162,0\r\n2006-01-05,14:38:00,3667.00,3667.00,3667.00,3667.00,280,0\r\n2006-01-05,14:41:00,3667.00,3667.00,3665.00,3666.00,406,0\r\n2006-01-05,14:42:00,3666.00,3666.00,3666.00,3666.00,404,0\r\n2006-01-05,14:43:00,3666.00,3666.00,3666.00,3666.00,15,0\r\n2006-01-05,14:44:00,3666.00,3666.00,3666.00,3666.00,36,0\r\n2006-01-05,14:45:00,3665.00,3666.00,3665.00,3666.00,247,0\r\n2006-01-05,14:46:00,3666.00,3668.00,3666.00,3667.00,504,0\r\n2006-01-05,14:47:00,3667.00,3667.00,3666.00,3666.00,134,0\r\n2006-01-05,14:49:00,3667.00,3667.00,3666.00,3666.00,3,0\r\n2006-01-05,14:50:00,3666.00,3667.00,3666.00,3667.00,27,0\r\n2006-01-05,14:51:00,3667.00,3668.00,3667.00,3668.00,132,0\r\n2006-01-05,14:52:00,3667.00,3668.00,3667.00,3668.00,143,0\r\n2006-01-05,14:53:00,3668.00,3669.00,3668.00,3668.00,335,0\r\n2006-01-05,14:54:00,3668.00,3668.00,3667.00,3668.00,148,0\r\n2006-01-05,14:55:00,3668.00,3668.00,3667.00,3667.00,120,0\r\n2006-01-05,14:56:00,3667.00,3668.00,3667.00,3667.00,192,0\r\n2006-01-05,14:57:00,3667.00,3667.00,3667.00,3667.00,210,0\r\n2006-01-05,14:58:00,3667.00,3667.00,3667.00,3667.00,6,0\r\n2006-01-05,14:59:00,3667.00,3667.00,3666.00,3667.00,89,0\r\n2006-01-05,15:00:00,3667.00,3667.00,3666.00,3666.00,150,0\r\n2006-01-05,15:01:00,3667.00,3667.00,3666.00,3666.00,1054,0\r\n2006-01-05,15:02:00,3666.00,3666.00,3666.00,3666.00,22,0\r\n2006-01-05,15:03:00,3666.00,3667.00,3666.00,3666.00,439,0\r\n2006-01-05,15:04:00,3667.00,3667.00,3667.00,3667.00,2,0\r\n2006-01-05,15:05:00,3666.00,3666.00,3666.00,3666.00,112,0\r\n2006-01-05,15:06:00,3667.00,3667.00,3667.00,3667.00,387,0\r\n2006-01-05,15:07:00,3667.00,3667.00,3667.00,3667.00,574,0\r\n2006-01-05,15:08:00,3667.00,3667.00,3667.00,3667.00,1005,0\r\n2006-01-05,15:09:00,3668.00,3668.00,3668.00,3668.00,3,0\r\n2006-01-05,15:10:00,3668.00,3668.00,3667.00,3668.00,555,0\r\n2006-01-05,15:12:00,3668.00,3668.00,3667.00,3667.00,980,0\r\n2006-01-05,15:13:00,3668.00,3669.00,3668.00,3668.00,410,0\r\n2006-01-05,15:14:00,3668.00,3669.00,3667.00,3668.00,984,0\r\n2006-01-05,15:15:00,3667.00,3667.00,3666.00,3667.00,1354,0\r\n2006-01-05,15:16:00,3667.00,3667.00,3667.00,3667.00,215,0\r\n2006-01-05,15:17:00,3667.00,3667.00,3667.00,3667.00,40,0\r\n2006-01-05,15:18:00,3667.00,3667.00,3666.00,3667.00,258,0\r\n2006-01-05,15:19:00,3667.00,3667.00,3667.00,3667.00,1197,0\r\n2006-01-05,15:20:00,3667.00,3667.00,3667.00,3667.00,249,0\r\n2006-01-05,15:21:00,3667.00,3667.00,3667.00,3667.00,30,0\r\n2006-01-05,15:22:00,3667.00,3668.00,3666.00,3667.00,106,0\r\n2006-01-05,15:23:00,3666.00,3667.00,3666.00,3667.00,924,0\r\n2006-01-05,15:24:00,3667.00,3667.00,3667.00,3667.00,37,0\r\n2006-01-05,15:25:00,3667.00,3667.00,3666.00,3666.00,92,0\r\n2006-01-05,15:26:00,3667.00,3667.00,3666.00,3666.00,18,0\r\n2006-01-05,15:27:00,3666.00,3667.00,3666.00,3667.00,162,0\r\n2006-01-05,15:28:00,3667.00,3667.00,3666.00,3667.00,206,0\r\n2006-01-05,15:29:00,3667.00,3667.00,3666.00,3666.00,29,0\r\n2006-01-05,15:30:00,3667.00,3667.00,3666.00,3667.00,124,0\r\n2006-01-05,15:31:00,3667.00,3667.00,3666.00,3667.00,143,0\r\n2006-01-05,15:32:00,3667.00,3667.00,3666.00,3667.00,323,0\r\n2006-01-05,15:33:00,3667.00,3669.00,3667.00,3668.00,1990,0\r\n2006-01-05,15:34:00,3667.00,3669.00,3667.00,3668.00,1457,0\r\n2006-01-05,15:35:00,3668.00,3670.00,3668.00,3670.00,2188,0\r\n2006-01-05,15:36:00,3670.00,3671.00,3669.00,3670.00,1462,0\r\n2006-01-05,15:37:00,3670.00,3670.00,3669.00,3670.00,995,0\r\n2006-01-05,15:38:00,3670.00,3670.00,3669.00,3670.00,352,0\r\n2006-01-05,15:39:00,3670.00,3671.00,3670.00,3670.00,658,0\r\n2006-01-05,15:40:00,3670.00,3672.00,3669.00,3672.00,2140,0\r\n2006-01-05,15:41:00,3672.00,3673.00,3670.00,3671.00,3527,0\r\n2006-01-05,15:42:00,3671.00,3671.00,3670.00,3671.00,2043,0\r\n2006-01-05,15:43:00,3671.00,3671.00,3670.00,3671.00,352,0\r\n2006-01-05,15:44:00,3671.00,3672.00,3671.00,3672.00,486,0\r\n2006-01-05,15:45:00,3672.00,3672.00,3670.00,3671.00,379,0\r\n2006-01-05,15:46:00,3670.00,3672.00,3670.00,3671.00,1289,0\r\n2006-01-05,15:47:00,3671.00,3672.00,3671.00,3672.00,407,0\r\n2006-01-05,15:48:00,3672.00,3672.00,3671.00,3671.00,1175,0\r\n2006-01-05,15:49:00,3672.00,3674.00,3672.00,3672.00,2721,0\r\n2006-01-05,15:50:00,3672.00,3673.00,3671.00,3672.00,1768,0\r\n2006-01-05,15:51:00,3672.00,3672.00,3671.00,3671.00,663,0\r\n2006-01-05,15:52:00,3672.00,3672.00,3669.00,3670.00,1682,0\r\n2006-01-05,15:53:00,3669.00,3670.00,3668.00,3669.00,2658,0\r\n2006-01-05,15:54:00,3670.00,3670.00,3667.00,3668.00,3082,0\r\n2006-01-05,15:55:00,3667.00,3669.00,3667.00,3668.00,1516,0\r\n2006-01-05,15:56:00,3668.00,3668.00,3667.00,3668.00,1336,0\r\n2006-01-05,15:57:00,3668.00,3668.00,3666.00,3668.00,1554,0\r\n2006-01-05,15:58:00,3668.00,3669.00,3667.00,3669.00,1191,0\r\n2006-01-05,15:59:00,3668.00,3669.00,3668.00,3669.00,1087,0\r\n2006-01-05,16:00:00,3669.00,3669.00,3667.00,3668.00,411,0\r\n2006-01-05,16:01:00,3668.00,3669.00,3667.00,3668.00,2233,0\r\n2006-01-05,16:02:00,3668.00,3669.00,3667.00,3668.00,2176,0\r\n2006-01-05,16:03:00,3669.00,3669.00,3667.00,3668.00,417,0\r\n2006-01-05,16:04:00,3667.00,3669.00,3666.00,3669.00,1620,0\r\n2006-01-05,16:05:00,3668.00,3670.00,3667.00,3670.00,1559,0\r\n2006-01-05,16:06:00,3669.00,3672.00,3669.00,3671.00,1273,0\r\n2006-01-05,16:07:00,3671.00,3673.00,3670.00,3673.00,2080,0\r\n2006-01-05,16:08:00,3673.00,3674.00,3672.00,3673.00,1134,0\r\n2006-01-05,16:09:00,3672.00,3674.00,3672.00,3672.00,980,0\r\n2006-01-05,16:10:00,3673.00,3673.00,3670.00,3671.00,1892,0\r\n2006-01-05,16:11:00,3671.00,3671.00,3669.00,3670.00,1191,0\r\n2006-01-05,16:12:00,3670.00,3672.00,3670.00,3672.00,407,0\r\n2006-01-05,16:13:00,3671.00,3672.00,3670.00,3670.00,1482,0\r\n2006-01-05,16:14:00,3670.00,3671.00,3669.00,3670.00,1215,0\r\n2006-01-05,16:15:00,3670.00,3672.00,3669.00,3672.00,844,0\r\n2006-01-05,16:16:00,3671.00,3672.00,3670.00,3671.00,704,0\r\n2006-01-05,16:17:00,3671.00,3671.00,3669.00,3671.00,1547,0\r\n2006-01-05,16:18:00,3670.00,3671.00,3670.00,3671.00,689,0\r\n2006-01-05,16:19:00,3671.00,3671.00,3670.00,3670.00,231,0\r\n2006-01-05,16:20:00,3671.00,3671.00,3670.00,3670.00,406,0\r\n2006-01-05,16:21:00,3671.00,3671.00,3670.00,3670.00,2164,0\r\n2006-01-05,16:22:00,3670.00,3671.00,3669.00,3670.00,600,0\r\n2006-01-05,16:23:00,3670.00,3672.00,3670.00,3671.00,2070,0\r\n2006-01-05,16:24:00,3671.00,3671.00,3670.00,3671.00,408,0\r\n2006-01-05,16:25:00,3671.00,3671.00,3670.00,3670.00,666,0\r\n2006-01-05,16:26:00,3670.00,3671.00,3667.00,3668.00,2998,0\r\n2006-01-05,16:27:00,3668.00,3669.00,3667.00,3667.00,365,0\r\n2006-01-05,16:28:00,3668.00,3668.00,3667.00,3668.00,477,0\r\n2006-01-05,16:29:00,3667.00,3668.00,3667.00,3668.00,327,0\r\n2006-01-05,16:30:00,3668.00,3668.00,3666.00,3667.00,940,0\r\n2006-01-05,16:31:00,3666.00,3669.00,3666.00,3668.00,975,0\r\n2006-01-05,16:32:00,3667.00,3667.00,3664.00,3665.00,2375,0\r\n2006-01-05,16:33:00,3664.00,3665.00,3663.00,3664.00,1598,0\r\n2006-01-05,16:34:00,3664.00,3665.00,3662.00,3663.00,2229,0\r\n2006-01-05,16:35:00,3663.00,3665.00,3662.00,3663.00,3198,0\r\n2006-01-05,16:36:00,3663.00,3663.00,3661.00,3662.00,1761,0\r\n2006-01-05,16:37:00,3661.00,3664.00,3661.00,3663.00,4300,0\r\n2006-01-05,16:38:00,3663.00,3665.00,3663.00,3665.00,831,0\r\n2006-01-05,16:39:00,3664.00,3665.00,3660.00,3660.00,3467,0\r\n2006-01-05,16:40:00,3661.00,3661.00,3658.00,3659.00,7105,0\r\n2006-01-05,16:41:00,3658.00,3659.00,3656.00,3657.00,6015,0\r\n2006-01-05,16:42:00,3658.00,3658.00,3656.00,3656.00,3137,0\r\n2006-01-05,16:43:00,3656.00,3658.00,3655.00,3656.00,4586,0\r\n2006-01-05,16:44:00,3656.00,3658.00,3656.00,3657.00,1174,0\r\n2006-01-05,16:45:00,3657.00,3658.00,3656.00,3657.00,2441,0\r\n2006-01-05,16:46:00,3658.00,3658.00,3657.00,3657.00,2799,0\r\n2006-01-05,16:47:00,3657.00,3659.00,3657.00,3657.00,2383,0\r\n2006-01-05,16:48:00,3658.00,3659.00,3657.00,3658.00,824,0\r\n2006-01-05,16:49:00,3658.00,3659.00,3657.00,3658.00,2767,0\r\n2006-01-05,16:50:00,3658.00,3660.00,3658.00,3659.00,1227,0\r\n2006-01-05,16:51:00,3660.00,3661.00,3659.00,3660.00,2144,0\r\n2006-01-05,16:52:00,3660.00,3660.00,3659.00,3659.00,1056,0\r\n2006-01-05,16:53:00,3659.00,3661.00,3659.00,3659.00,1982,0\r\n2006-01-05,16:54:00,3659.00,3659.00,3658.00,3658.00,1661,0\r\n2006-01-05,16:55:00,3658.00,3660.00,3658.00,3658.00,1636,0\r\n2006-01-05,16:56:00,3658.00,3659.00,3657.00,3658.00,2602,0\r\n2006-01-05,16:57:00,3658.00,3660.00,3656.00,3656.00,2342,0\r\n2006-01-05,16:58:00,3657.00,3659.00,3656.00,3658.00,1512,0\r\n2006-01-05,16:59:00,3658.00,3660.00,3658.00,3660.00,1419,0\r\n2006-01-05,17:00:00,3659.00,3660.00,3658.00,3659.00,915,0\r\n2006-01-05,17:01:00,3659.00,3661.00,3659.00,3661.00,793,0\r\n2006-01-05,17:02:00,3660.00,3662.00,3660.00,3661.00,527,0\r\n2006-01-05,17:03:00,3660.00,3661.00,3660.00,3661.00,1581,0\r\n2006-01-05,17:04:00,3660.00,3663.00,3660.00,3662.00,1433,0\r\n2006-01-05,17:05:00,3662.00,3663.00,3661.00,3661.00,1395,0\r\n2006-01-05,17:06:00,3661.00,3662.00,3660.00,3660.00,917,0\r\n2006-01-05,17:07:00,3660.00,3660.00,3657.00,3659.00,4492,0\r\n2006-01-05,17:08:00,3659.00,3660.00,3658.00,3658.00,1310,0\r\n2006-01-05,17:09:00,3658.00,3662.00,3658.00,3662.00,2279,0\r\n2006-01-05,17:10:00,3662.00,3663.00,3660.00,3661.00,935,0\r\n2006-01-05,17:11:00,3661.00,3662.00,3659.00,3659.00,1064,0\r\n2006-01-05,17:12:00,3659.00,3661.00,3659.00,3660.00,720,0\r\n2006-01-05,17:13:00,3660.00,3661.00,3660.00,3660.00,1012,0\r\n2006-01-05,17:14:00,3660.00,3662.00,3660.00,3661.00,1356,0\r\n2006-01-05,17:15:00,3661.00,3662.00,3660.00,3661.00,1196,0\r\n2006-01-05,17:16:00,3661.00,3664.00,3661.00,3663.00,961,0\r\n2006-01-05,17:17:00,3663.00,3664.00,3663.00,3663.00,1107,0\r\n2006-01-05,17:18:00,3663.00,3664.00,3662.00,3663.00,1009,0\r\n2006-01-05,17:19:00,3663.00,3664.00,3662.00,3663.00,1731,0\r\n2006-01-05,17:20:00,3663.00,3664.00,3662.00,3662.00,567,0\r\n2006-01-05,17:21:00,3662.00,3664.00,3662.00,3662.00,1598,0\r\n2006-01-05,17:22:00,3662.00,3664.00,3662.00,3662.00,1298,0\r\n2006-01-05,17:23:00,3662.00,3663.00,3661.00,3661.00,1876,0\r\n2006-01-05,17:24:00,3661.00,3663.00,3660.00,3660.00,1181,0\r\n2006-01-05,17:25:00,3660.00,3661.00,3659.00,3659.00,1981,0\r\n2006-01-05,17:26:00,3659.00,3660.00,3658.00,3658.00,2543,0\r\n2006-01-05,17:27:00,3658.00,3660.00,3658.00,3660.00,1410,0\r\n2006-01-05,17:28:00,3660.00,3661.00,3659.00,3660.00,899,0\r\n2006-01-05,17:29:00,3660.00,3663.00,3659.00,3662.00,5010,0\r\n2006-01-05,17:30:00,3662.00,3662.00,3659.00,3659.00,3611,0\r\n2006-01-05,17:31:00,3659.00,3661.00,3658.00,3660.00,3821,0\r\n2006-01-05,17:32:00,3660.00,3662.00,3660.00,3661.00,1456,0\r\n2006-01-05,17:33:00,3661.00,3662.00,3661.00,3661.00,731,0\r\n2006-01-05,17:34:00,3661.00,3663.00,3661.00,3662.00,927,0\r\n2006-01-05,17:35:00,3662.00,3663.00,3661.00,3662.00,1773,0\r\n2006-01-05,17:36:00,3662.00,3663.00,3662.00,3662.00,709,0\r\n2006-01-05,17:37:00,3662.00,3663.00,3661.00,3661.00,1562,0\r\n2006-01-05,17:38:00,3661.00,3663.00,3661.00,3663.00,911,0\r\n2006-01-05,17:39:00,3662.00,3664.00,3662.00,3664.00,3053,0\r\n2006-01-05,17:40:00,3664.00,3664.00,3662.00,3662.00,1345,0\r\n2006-01-05,17:41:00,3662.00,3663.00,3662.00,3662.00,155,0\r\n2006-01-05,17:42:00,3663.00,3663.00,3661.00,3661.00,522,0\r\n2006-01-05,17:43:00,3662.00,3662.00,3662.00,3662.00,567,0\r\n2006-01-05,17:44:00,3662.00,3662.00,3661.00,3661.00,208,0\r\n2006-01-05,17:45:00,3660.00,3661.00,3660.00,3661.00,110,0\r\n2006-01-05,17:46:00,3662.00,3662.00,3661.00,3662.00,38,0\r\n2006-01-05,17:47:00,3661.00,3662.00,3661.00,3662.00,500,0\r\n2006-01-05,17:48:00,3663.00,3663.00,3661.00,3661.00,285,0\r\n2006-01-05,17:49:00,3661.00,3661.00,3661.00,3661.00,164,0\r\n2006-01-05,17:50:00,3661.00,3662.00,3661.00,3661.00,945,0\r\n2006-01-05,17:51:00,3662.00,3662.00,3662.00,3662.00,93,0\r\n2006-01-05,17:52:00,3662.00,3663.00,3662.00,3663.00,1373,0\r\n2006-01-05,17:53:00,3664.00,3665.00,3664.00,3664.00,924,0\r\n2006-01-05,17:54:00,3664.00,3665.00,3664.00,3665.00,623,0\r\n2006-01-05,17:55:00,3665.00,3665.00,3664.00,3665.00,499,0\r\n2006-01-05,17:56:00,3666.00,3667.00,3665.00,3666.00,1098,0\r\n2006-01-05,17:57:00,3666.00,3667.00,3665.00,3666.00,1151,0\r\n2006-01-05,17:58:00,3666.00,3668.00,3666.00,3667.00,733,0\r\n2006-01-05,17:59:00,3667.00,3668.00,3667.00,3668.00,347,0\r\n2006-01-05,18:00:00,3668.00,3669.00,3667.00,3667.00,753,0\r\n2006-01-05,18:01:00,3668.00,3669.00,3667.00,3667.00,584,0\r\n2006-01-05,18:02:00,3668.00,3669.00,3667.00,3668.00,907,0\r\n2006-01-05,18:03:00,3668.00,3671.00,3668.00,3670.00,1036,0\r\n2006-01-05,18:04:00,3669.00,3669.00,3667.00,3667.00,953,0\r\n2006-01-05,18:05:00,3667.00,3668.00,3667.00,3668.00,329,0\r\n2006-01-05,18:06:00,3668.00,3670.00,3668.00,3669.00,977,0\r\n2006-01-05,18:07:00,3669.00,3669.00,3667.00,3667.00,309,0\r\n2006-01-05,18:08:00,3667.00,3669.00,3667.00,3668.00,369,0\r\n2006-01-05,18:09:00,3669.00,3669.00,3668.00,3668.00,13,0\r\n2006-01-05,18:10:00,3669.00,3669.00,3668.00,3669.00,352,0\r\n2006-01-05,18:11:00,3669.00,3669.00,3668.00,3669.00,82,0\r\n2006-01-05,18:12:00,3669.00,3670.00,3669.00,3670.00,494,0\r\n2006-01-05,18:13:00,3670.00,3670.00,3669.00,3669.00,393,0\r\n2006-01-05,18:14:00,3669.00,3669.00,3668.00,3668.00,602,0\r\n2006-01-05,18:15:00,3668.00,3669.00,3668.00,3668.00,51,0\r\n2006-01-05,18:16:00,3668.00,3668.00,3667.00,3667.00,248,0\r\n2006-01-05,18:17:00,3667.00,3667.00,3667.00,3667.00,128,0\r\n2006-01-05,18:18:00,3666.00,3668.00,3666.00,3667.00,237,0\r\n2006-01-05,18:19:00,3667.00,3667.00,3667.00,3667.00,135,0\r\n2006-01-05,18:20:00,3667.00,3668.00,3667.00,3668.00,302,0\r\n2006-01-05,18:21:00,3668.00,3669.00,3668.00,3668.00,350,0\r\n2006-01-05,18:22:00,3669.00,3669.00,3668.00,3668.00,49,0\r\n2006-01-05,18:23:00,3669.00,3670.00,3669.00,3670.00,1063,0\r\n2006-01-05,18:24:00,3670.00,3670.00,3669.00,3669.00,28,0\r\n2006-01-05,18:25:00,3670.00,3670.00,3670.00,3670.00,2,0\r\n2006-01-05,18:26:00,3670.00,3670.00,3669.00,3669.00,199,0\r\n2006-01-05,18:27:00,3669.00,3669.00,3668.00,3668.00,147,0\r\n2006-01-05,18:28:00,3667.00,3668.00,3667.00,3668.00,90,0\r\n2006-01-05,18:29:00,3668.00,3668.00,3668.00,3668.00,61,0\r\n2006-01-05,18:30:00,3668.00,3668.00,3668.00,3668.00,44,0\r\n2006-01-05,18:31:00,3669.00,3669.00,3668.00,3669.00,48,0\r\n2006-01-05,18:32:00,3669.00,3669.00,3669.00,3669.00,107,0\r\n2006-01-05,18:33:00,3669.00,3669.00,3669.00,3669.00,1,0\r\n2006-01-05,18:34:00,3669.00,3669.00,3669.00,3669.00,61,0\r\n2006-01-05,18:35:00,3669.00,3669.00,3668.00,3668.00,30,0\r\n2006-01-05,18:36:00,3669.00,3669.00,3668.00,3668.00,103,0\r\n2006-01-05,18:38:00,3669.00,3669.00,3669.00,3669.00,30,0\r\n2006-01-05,18:39:00,3668.00,3669.00,3668.00,3668.00,126,0\r\n2006-01-05,18:40:00,3668.00,3668.00,3667.00,3667.00,91,0\r\n2006-01-05,18:41:00,3668.00,3668.00,3667.00,3668.00,48,0\r\n2006-01-05,18:42:00,3668.00,3668.00,3668.00,3668.00,65,0\r\n2006-01-05,18:43:00,3668.00,3668.00,3668.00,3668.00,46,0\r\n2006-01-05,18:44:00,3668.00,3668.00,3665.00,3666.00,433,0\r\n2006-01-05,18:45:00,3666.00,3666.00,3665.00,3665.00,93,0\r\n2006-01-05,18:46:00,3665.00,3665.00,3662.00,3662.00,603,0\r\n2006-01-05,18:47:00,3662.00,3664.00,3662.00,3664.00,644,0\r\n2006-01-05,18:48:00,3664.00,3664.00,3663.00,3663.00,301,0\r\n2006-01-05,18:49:00,3664.00,3664.00,3663.00,3664.00,109,0\r\n2006-01-05,18:50:00,3664.00,3664.00,3664.00,3664.00,20,0\r\n2006-01-05,18:51:00,3664.00,3664.00,3662.00,3663.00,243,0\r\n2006-01-05,18:52:00,3663.00,3664.00,3663.00,3664.00,522,0\r\n2006-01-05,18:53:00,3664.00,3665.00,3664.00,3665.00,43,0\r\n2006-01-05,18:54:00,3665.00,3665.00,3664.00,3664.00,84,0\r\n2006-01-05,18:55:00,3664.00,3664.00,3663.00,3664.00,5,0\r\n2006-01-05,18:56:00,3664.00,3665.00,3664.00,3665.00,55,0\r\n2006-01-05,18:57:00,3664.00,3664.00,3664.00,3664.00,15,0\r\n2006-01-05,18:58:00,3664.00,3664.00,3663.00,3663.00,188,0\r\n2006-01-05,18:59:00,3663.00,3663.00,3662.00,3663.00,22,0\r\n2006-01-05,19:00:00,3662.00,3663.00,3662.00,3663.00,201,0\r\n2006-01-05,19:01:00,3663.00,3664.00,3662.00,3664.00,100,0\r\n2006-01-05,19:02:00,3664.00,3664.00,3663.00,3663.00,92,0\r\n2006-01-05,19:03:00,3664.00,3664.00,3664.00,3664.00,46,0\r\n2006-01-05,19:04:00,3664.00,3664.00,3664.00,3664.00,59,0\r\n2006-01-05,19:05:00,3664.00,3664.00,3664.00,3664.00,20,0\r\n2006-01-05,19:06:00,3663.00,3663.00,3663.00,3663.00,436,0\r\n2006-01-05,19:07:00,3663.00,3663.00,3663.00,3663.00,17,0\r\n2006-01-05,19:08:00,3663.00,3663.00,3663.00,3663.00,149,0\r\n2006-01-05,19:09:00,3664.00,3666.00,3664.00,3665.00,204,0\r\n2006-01-05,19:10:00,3665.00,3666.00,3665.00,3666.00,179,0\r\n2006-01-05,19:11:00,3666.00,3666.00,3665.00,3665.00,318,0\r\n2006-01-05,19:12:00,3665.00,3666.00,3665.00,3666.00,100,0\r\n2006-01-05,19:13:00,3665.00,3665.00,3665.00,3665.00,5,0\r\n2006-01-05,19:14:00,3665.00,3665.00,3665.00,3665.00,67,0\r\n2006-01-05,19:15:00,3665.00,3665.00,3665.00,3665.00,121,0\r\n2006-01-05,19:16:00,3665.00,3665.00,3665.00,3665.00,50,0\r\n2006-01-05,19:17:00,3666.00,3666.00,3666.00,3666.00,6,0\r\n2006-01-05,19:18:00,3666.00,3667.00,3666.00,3666.00,44,0\r\n2006-01-05,19:19:00,3666.00,3666.00,3666.00,3666.00,43,0\r\n2006-01-05,19:20:00,3666.00,3666.00,3665.00,3665.00,118,0\r\n2006-01-05,19:21:00,3664.00,3664.00,3662.00,3663.00,351,0\r\n2006-01-05,19:23:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,19:24:00,3664.00,3665.00,3664.00,3664.00,43,0\r\n2006-01-05,19:25:00,3665.00,3665.00,3665.00,3665.00,22,0\r\n2006-01-05,19:26:00,3665.00,3665.00,3664.00,3664.00,30,0\r\n2006-01-05,19:27:00,3664.00,3664.00,3664.00,3664.00,35,0\r\n2006-01-05,19:29:00,3664.00,3664.00,3664.00,3664.00,15,0\r\n2006-01-05,19:30:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-05,19:31:00,3665.00,3666.00,3665.00,3666.00,54,0\r\n2006-01-05,19:32:00,3665.00,3665.00,3664.00,3664.00,215,0\r\n2006-01-05,19:34:00,3665.00,3665.00,3665.00,3665.00,25,0\r\n2006-01-05,19:35:00,3665.00,3666.00,3665.00,3666.00,42,0\r\n2006-01-05,19:36:00,3666.00,3666.00,3666.00,3666.00,21,0\r\n2006-01-05,19:37:00,3666.00,3666.00,3666.00,3666.00,36,0\r\n2006-01-05,19:38:00,3665.00,3666.00,3665.00,3665.00,74,0\r\n2006-01-05,19:39:00,3665.00,3665.00,3664.00,3664.00,118,0\r\n2006-01-05,19:40:00,3664.00,3664.00,3664.00,3664.00,43,0\r\n2006-01-05,19:42:00,3664.00,3664.00,3663.00,3664.00,82,0\r\n2006-01-05,19:44:00,3665.00,3665.00,3665.00,3665.00,32,0\r\n2006-01-05,19:45:00,3665.00,3666.00,3665.00,3665.00,78,0\r\n2006-01-05,19:47:00,3665.00,3665.00,3664.00,3664.00,13,0\r\n2006-01-05,19:48:00,3665.00,3666.00,3664.00,3665.00,53,0\r\n2006-01-05,19:50:00,3664.00,3664.00,3663.00,3664.00,27,0\r\n2006-01-05,19:51:00,3664.00,3665.00,3664.00,3665.00,34,0\r\n2006-01-05,19:52:00,3664.00,3664.00,3663.00,3663.00,164,0\r\n2006-01-05,19:53:00,3663.00,3663.00,3663.00,3663.00,55,0\r\n2006-01-05,19:54:00,3664.00,3665.00,3664.00,3665.00,346,0\r\n2006-01-05,19:55:00,3664.00,3664.00,3664.00,3664.00,26,0\r\n2006-01-05,19:56:00,3665.00,3665.00,3664.00,3664.00,12,0\r\n2006-01-05,19:57:00,3664.00,3664.00,3663.00,3663.00,200,0\r\n2006-01-05,19:58:00,3662.00,3664.00,3662.00,3664.00,111,0\r\n2006-01-05,19:59:00,3664.00,3664.00,3664.00,3664.00,5,0\r\n2006-01-05,20:00:00,3663.00,3663.00,3663.00,3663.00,104,0\r\n2006-01-05,20:01:00,3663.00,3663.00,3663.00,3663.00,22,0\r\n2006-01-05,20:02:00,3663.00,3663.00,3663.00,3663.00,18,0\r\n2006-01-05,20:03:00,3663.00,3663.00,3663.00,3663.00,79,0\r\n2006-01-05,20:05:00,3663.00,3663.00,3663.00,3663.00,2,0\r\n2006-01-05,20:06:00,3664.00,3664.00,3663.00,3663.00,165,0\r\n2006-01-05,20:07:00,3663.00,3663.00,3663.00,3663.00,18,0\r\n2006-01-05,20:08:00,3663.00,3663.00,3662.00,3662.00,509,0\r\n2006-01-05,20:09:00,3663.00,3664.00,3662.00,3662.00,403,0\r\n2006-01-05,20:10:00,3662.00,3662.00,3662.00,3662.00,285,0\r\n2006-01-05,20:11:00,3663.00,3665.00,3663.00,3665.00,240,0\r\n2006-01-05,20:12:00,3664.00,3665.00,3664.00,3665.00,84,0\r\n2006-01-05,20:13:00,3664.00,3664.00,3664.00,3664.00,40,0\r\n2006-01-05,20:16:00,3664.00,3664.00,3664.00,3664.00,97,0\r\n2006-01-05,20:17:00,3664.00,3666.00,3664.00,3665.00,132,0\r\n2006-01-05,20:19:00,3665.00,3665.00,3665.00,3665.00,11,0\r\n2006-01-05,20:21:00,3664.00,3664.00,3664.00,3664.00,6,0\r\n2006-01-05,20:22:00,3664.00,3664.00,3664.00,3664.00,5,0\r\n2006-01-05,20:23:00,3665.00,3667.00,3665.00,3666.00,156,0\r\n2006-01-05,20:24:00,3665.00,3665.00,3664.00,3664.00,20,0\r\n2006-01-05,20:25:00,3664.00,3664.00,3664.00,3664.00,13,0\r\n2006-01-05,20:26:00,3664.00,3664.00,3662.00,3663.00,86,0\r\n2006-01-05,20:27:00,3663.00,3663.00,3662.00,3663.00,92,0\r\n2006-01-05,20:28:00,3663.00,3663.00,3662.00,3662.00,38,0\r\n2006-01-05,20:29:00,3663.00,3663.00,3662.00,3662.00,299,0\r\n2006-01-05,20:30:00,3662.00,3662.00,3661.00,3662.00,164,0\r\n2006-01-05,20:31:00,3663.00,3663.00,3662.00,3662.00,28,0\r\n2006-01-05,20:32:00,3662.00,3663.00,3662.00,3663.00,28,0\r\n2006-01-05,20:33:00,3663.00,3663.00,3663.00,3663.00,12,0\r\n2006-01-05,20:34:00,3663.00,3663.00,3663.00,3663.00,44,0\r\n2006-01-05,20:35:00,3664.00,3664.00,3664.00,3664.00,8,0\r\n2006-01-05,20:36:00,3664.00,3664.00,3663.00,3664.00,30,0\r\n2006-01-05,20:37:00,3664.00,3664.00,3663.00,3663.00,21,0\r\n2006-01-05,20:38:00,3663.00,3663.00,3663.00,3663.00,6,0\r\n2006-01-05,20:40:00,3663.00,3663.00,3663.00,3663.00,7,0\r\n2006-01-05,20:41:00,3664.00,3664.00,3663.00,3663.00,25,0\r\n2006-01-05,20:42:00,3663.00,3663.00,3663.00,3663.00,5,0\r\n2006-01-05,20:43:00,3662.00,3663.00,3662.00,3663.00,63,0\r\n2006-01-05,20:44:00,3663.00,3663.00,3662.00,3662.00,12,0\r\n2006-01-05,20:46:00,3662.00,3662.00,3661.00,3662.00,201,0\r\n2006-01-05,20:47:00,3661.00,3662.00,3661.00,3662.00,30,0\r\n2006-01-05,20:48:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-05,20:49:00,3663.00,3663.00,3663.00,3663.00,15,0\r\n2006-01-05,20:50:00,3663.00,3663.00,3663.00,3663.00,2,0\r\n2006-01-05,20:55:00,3663.00,3664.00,3663.00,3664.00,9,0\r\n2006-01-05,20:56:00,3664.00,3665.00,3664.00,3664.00,23,0\r\n2006-01-05,20:57:00,3665.00,3665.00,3664.00,3664.00,6,0\r\n2006-01-05,20:58:00,3664.00,3664.00,3664.00,3664.00,77,0\r\n2006-01-05,20:59:00,3665.00,3665.00,3665.00,3665.00,21,0\r\n2006-01-05,21:00:00,3665.00,3665.00,3665.00,3665.00,28,0\r\n2006-01-05,21:01:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,21:02:00,3664.00,3664.00,3664.00,3664.00,8,0\r\n2006-01-05,21:03:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-05,21:04:00,3663.00,3664.00,3663.00,3664.00,7,0\r\n2006-01-05,21:05:00,3664.00,3666.00,3664.00,3665.00,42,0\r\n2006-01-05,21:06:00,3665.00,3665.00,3664.00,3664.00,6,0\r\n2006-01-05,21:07:00,3664.00,3664.00,3664.00,3664.00,4,0\r\n2006-01-05,21:08:00,3665.00,3665.00,3664.00,3664.00,90,0\r\n2006-01-05,21:09:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,21:10:00,3663.00,3664.00,3663.00,3664.00,41,0\r\n2006-01-05,21:11:00,3664.00,3664.00,3664.00,3664.00,8,0\r\n2006-01-05,21:13:00,3663.00,3663.00,3663.00,3663.00,2,0\r\n2006-01-05,21:15:00,3664.00,3664.00,3662.00,3662.00,48,0\r\n2006-01-05,21:16:00,3663.00,3663.00,3663.00,3663.00,20,0\r\n2006-01-05,21:18:00,3663.00,3663.00,3663.00,3663.00,13,0\r\n2006-01-05,21:20:00,3664.00,3664.00,3664.00,3664.00,68,0\r\n2006-01-05,21:21:00,3663.00,3663.00,3663.00,3663.00,3,0\r\n2006-01-05,21:22:00,3664.00,3664.00,3663.00,3663.00,22,0\r\n2006-01-05,21:23:00,3663.00,3663.00,3663.00,3663.00,3,0\r\n2006-01-05,21:25:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,21:26:00,3665.00,3665.00,3665.00,3665.00,12,0\r\n2006-01-05,21:28:00,3664.00,3664.00,3664.00,3664.00,44,0\r\n2006-01-05,21:31:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-05,21:33:00,3665.00,3665.00,3663.00,3665.00,6,0\r\n2006-01-05,21:34:00,3665.00,3665.00,3664.00,3664.00,2,0\r\n2006-01-05,21:35:00,3664.00,3665.00,3664.00,3664.00,97,0\r\n2006-01-05,21:36:00,3664.00,3664.00,3663.00,3664.00,9,0\r\n2006-01-05,21:37:00,3665.00,3665.00,3665.00,3665.00,18,0\r\n2006-01-05,21:38:00,3664.00,3665.00,3664.00,3665.00,17,0\r\n2006-01-05,21:40:00,3665.00,3665.00,3665.00,3665.00,3,0\r\n2006-01-05,21:41:00,3665.00,3665.00,3665.00,3665.00,5,0\r\n2006-01-05,21:42:00,3664.00,3664.00,3664.00,3664.00,2,0\r\n2006-01-05,21:43:00,3665.00,3665.00,3665.00,3665.00,8,0\r\n2006-01-05,21:44:00,3665.00,3665.00,3665.00,3665.00,10,0\r\n2006-01-05,21:45:00,3665.00,3666.00,3665.00,3666.00,8,0\r\n2006-01-05,21:46:00,3666.00,3666.00,3665.00,3665.00,11,0\r\n2006-01-05,21:47:00,3665.00,3666.00,3665.00,3665.00,16,0\r\n2006-01-05,21:48:00,3665.00,3665.00,3665.00,3665.00,2,0\r\n2006-01-05,21:49:00,3665.00,3666.00,3665.00,3666.00,9,0\r\n2006-01-05,21:50:00,3665.00,3665.00,3665.00,3665.00,10,0\r\n2006-01-05,21:51:00,3665.00,3665.00,3665.00,3665.00,8,0\r\n2006-01-05,21:52:00,3665.00,3665.00,3664.00,3664.00,57,0\r\n2006-01-05,21:53:00,3663.00,3663.00,3663.00,3663.00,87,0\r\n2006-01-05,21:54:00,3663.00,3663.00,3662.00,3663.00,50,0\r\n2006-01-05,21:55:00,3663.00,3663.00,3663.00,3663.00,190,0\r\n2006-01-05,21:56:00,3664.00,3664.00,3662.00,3662.00,37,0\r\n2006-01-05,21:57:00,3662.00,3662.00,3662.00,3662.00,10,0\r\n2006-01-05,21:58:00,3663.00,3663.00,3662.00,3663.00,10,0\r\n2006-01-05,21:59:00,3663.00,3663.00,3662.00,3663.00,537,0\r\n2006-01-05,22:00:00,3662.00,3664.00,3662.00,3662.00,637,0\r\n2006-01-06,09:01:00,3667.00,3668.00,3665.00,3667.00,3257,0\r\n2006-01-06,09:02:00,3667.00,3667.00,3666.00,3667.00,242,0\r\n2006-01-06,09:03:00,3668.00,3668.00,3666.00,3667.00,1235,0\r\n2006-01-06,09:04:00,3667.00,3667.00,3666.00,3667.00,1257,0\r\n2006-01-06,09:05:00,3667.00,3669.00,3667.00,3668.00,888,0\r\n2006-01-06,09:06:00,3669.00,3669.00,3668.00,3668.00,559,0\r\n2006-01-06,09:07:00,3669.00,3669.00,3668.00,3669.00,71,0\r\n2006-01-06,09:08:00,3668.00,3668.00,3666.00,3667.00,891,0\r\n2006-01-06,09:09:00,3668.00,3668.00,3666.00,3667.00,506,0\r\n2006-01-06,09:10:00,3666.00,3667.00,3665.00,3666.00,465,0\r\n2006-01-06,09:11:00,3666.00,3666.00,3666.00,3666.00,148,0\r\n2006-01-06,09:12:00,3666.00,3666.00,3666.00,3666.00,744,0\r\n2006-01-06,09:13:00,3666.00,3667.00,3665.00,3666.00,852,0\r\n2006-01-06,09:14:00,3667.00,3668.00,3666.00,3668.00,345,0\r\n2006-01-06,09:15:00,3668.00,3668.00,3667.00,3667.00,26,0\r\n2006-01-06,09:16:00,3667.00,3668.00,3667.00,3668.00,48,0\r\n2006-01-06,09:17:00,3667.00,3668.00,3666.00,3666.00,1013,0\r\n2006-01-06,09:18:00,3666.00,3667.00,3665.00,3665.00,393,0\r\n2006-01-06,09:19:00,3665.00,3665.00,3664.00,3665.00,1062,0\r\n2006-01-06,09:20:00,3665.00,3665.00,3663.00,3664.00,1043,0\r\n2006-01-06,09:21:00,3663.00,3664.00,3662.00,3663.00,653,0\r\n2006-01-06,09:22:00,3664.00,3665.00,3664.00,3664.00,435,0\r\n2006-01-06,09:23:00,3663.00,3664.00,3663.00,3664.00,460,0\r\n2006-01-06,09:24:00,3664.00,3665.00,3664.00,3665.00,292,0\r\n2006-01-06,09:25:00,3666.00,3666.00,3664.00,3664.00,142,0\r\n2006-01-06,09:26:00,3665.00,3665.00,3664.00,3664.00,49,0\r\n2006-01-06,09:27:00,3665.00,3665.00,3664.00,3665.00,703,0\r\n2006-01-06,09:28:00,3665.00,3666.00,3665.00,3666.00,134,0\r\n2006-01-06,09:29:00,3666.00,3666.00,3665.00,3665.00,322,0\r\n2006-01-06,09:30:00,3665.00,3666.00,3665.00,3665.00,59,0\r\n2006-01-06,09:31:00,3665.00,3666.00,3665.00,3665.00,164,0\r\n2006-01-06,09:32:00,3666.00,3666.00,3665.00,3666.00,104,0\r\n2006-01-06,09:33:00,3665.00,3666.00,3665.00,3665.00,122,0\r\n2006-01-06,09:34:00,3665.00,3665.00,3662.00,3663.00,1495,0\r\n2006-01-06,09:35:00,3664.00,3665.00,3663.00,3664.00,828,0\r\n2006-01-06,09:36:00,3664.00,3664.00,3663.00,3664.00,205,0\r\n2006-01-06,09:37:00,3664.00,3665.00,3664.00,3665.00,340,0\r\n2006-01-06,09:38:00,3665.00,3665.00,3665.00,3665.00,7,0\r\n2006-01-06,09:39:00,3664.00,3665.00,3664.00,3664.00,51,0\r\n2006-01-06,09:40:00,3664.00,3665.00,3664.00,3664.00,58,0\r\n2006-01-06,09:41:00,3665.00,3665.00,3664.00,3665.00,281,0\r\n2006-01-06,09:42:00,3664.00,3665.00,3664.00,3664.00,190,0\r\n2006-01-06,09:43:00,3664.00,3664.00,3663.00,3664.00,245,0\r\n2006-01-06,09:44:00,3664.00,3664.00,3663.00,3663.00,44,0\r\n2006-01-06,09:45:00,3663.00,3664.00,3662.00,3663.00,384,0\r\n2006-01-06,09:46:00,3662.00,3663.00,3662.00,3663.00,322,0\r\n2006-01-06,09:48:00,3663.00,3664.00,3662.00,3663.00,1086,0\r\n2006-01-06,09:49:00,3663.00,3664.00,3663.00,3663.00,644,0\r\n2006-01-06,09:50:00,3664.00,3665.00,3663.00,3664.00,585,0\r\n2006-01-06,09:51:00,3664.00,3665.00,3664.00,3664.00,177,0\r\n2006-01-06,09:52:00,3664.00,3665.00,3663.00,3663.00,402,0\r\n2006-01-06,09:53:00,3664.00,3665.00,3663.00,3665.00,347,0\r\n2006-01-06,09:54:00,3664.00,3666.00,3663.00,3663.00,527,0\r\n2006-01-06,09:55:00,3664.00,3665.00,3664.00,3664.00,373,0\r\n2006-01-06,09:56:00,3664.00,3665.00,3664.00,3665.00,10,0\r\n2006-01-06,09:57:00,3665.00,3665.00,3663.00,3663.00,299,0\r\n2006-01-06,09:58:00,3663.00,3664.00,3663.00,3664.00,40,0\r\n2006-01-06,09:59:00,3664.00,3664.00,3662.00,3663.00,263,0\r\n2006-01-06,10:00:00,3663.00,3664.00,3662.00,3662.00,220,0\r\n2006-01-06,10:01:00,3662.00,3663.00,3661.00,3661.00,794,0\r\n2006-01-06,10:02:00,3661.00,3662.00,3661.00,3662.00,179,0\r\n2006-01-06,10:03:00,3662.00,3664.00,3662.00,3664.00,1243,0\r\n2006-01-06,10:04:00,3664.00,3664.00,3663.00,3664.00,65,0\r\n2006-01-06,10:05:00,3664.00,3665.00,3664.00,3664.00,317,0\r\n2006-01-06,10:06:00,3663.00,3664.00,3663.00,3664.00,595,0\r\n2006-01-06,10:07:00,3664.00,3664.00,3663.00,3664.00,280,0\r\n2006-01-06,10:08:00,3664.00,3665.00,3664.00,3665.00,830,0\r\n2006-01-06,10:09:00,3665.00,3665.00,3665.00,3665.00,31,0\r\n2006-01-06,10:10:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-06,10:11:00,3664.00,3665.00,3664.00,3665.00,193,0\r\n2006-01-06,10:12:00,3665.00,3665.00,3664.00,3664.00,97,0\r\n2006-01-06,10:13:00,3665.00,3665.00,3664.00,3664.00,60,0\r\n2006-01-06,10:14:00,3664.00,3665.00,3663.00,3663.00,444,0\r\n2006-01-06,10:15:00,3664.00,3664.00,3663.00,3663.00,333,0\r\n2006-01-06,10:16:00,3663.00,3665.00,3663.00,3665.00,1394,0\r\n2006-01-06,10:17:00,3664.00,3665.00,3664.00,3665.00,56,0\r\n2006-01-06,10:18:00,3665.00,3666.00,3665.00,3666.00,519,0\r\n2006-01-06,10:19:00,3666.00,3666.00,3665.00,3666.00,666,0\r\n2006-01-06,10:20:00,3666.00,3666.00,3666.00,3666.00,110,0\r\n2006-01-06,10:21:00,3666.00,3666.00,3665.00,3666.00,128,0\r\n2006-01-06,10:22:00,3666.00,3666.00,3665.00,3666.00,410,0\r\n2006-01-06,10:23:00,3666.00,3666.00,3663.00,3663.00,1005,0\r\n2006-01-06,10:24:00,3664.00,3665.00,3664.00,3664.00,242,0\r\n2006-01-06,10:25:00,3664.00,3664.00,3663.00,3663.00,612,0\r\n2006-01-06,10:26:00,3663.00,3665.00,3663.00,3665.00,168,0\r\n2006-01-06,10:27:00,3665.00,3665.00,3663.00,3664.00,364,0\r\n2006-01-06,10:28:00,3665.00,3665.00,3665.00,3665.00,3,0\r\n2006-01-06,10:29:00,3665.00,3665.00,3664.00,3664.00,21,0\r\n2006-01-06,10:30:00,3664.00,3665.00,3664.00,3665.00,2,0\r\n2006-01-06,10:31:00,3664.00,3665.00,3664.00,3664.00,364,0\r\n2006-01-06,10:32:00,3663.00,3664.00,3663.00,3664.00,181,0\r\n2006-01-06,10:35:00,3665.00,3665.00,3665.00,3665.00,1157,0\r\n2006-01-06,10:37:00,3665.00,3665.00,3664.00,3664.00,149,0\r\n2006-01-06,10:39:00,3665.00,3666.00,3665.00,3665.00,548,0\r\n2006-01-06,10:40:00,3666.00,3668.00,3666.00,3667.00,1252,0\r\n2006-01-06,10:41:00,3667.00,3668.00,3667.00,3668.00,253,0\r\n2006-01-06,10:42:00,3668.00,3668.00,3667.00,3667.00,193,0\r\n2006-01-06,10:43:00,3668.00,3668.00,3667.00,3667.00,77,0\r\n2006-01-06,10:44:00,3668.00,3668.00,3667.00,3668.00,121,0\r\n2006-01-06,10:45:00,3668.00,3668.00,3667.00,3667.00,26,0\r\n2006-01-06,10:46:00,3668.00,3668.00,3667.00,3668.00,6,0\r\n2006-01-06,10:47:00,3668.00,3669.00,3667.00,3668.00,554,0\r\n2006-01-06,10:48:00,3668.00,3668.00,3667.00,3667.00,500,0\r\n2006-01-06,10:49:00,3667.00,3667.00,3667.00,3667.00,73,0\r\n2006-01-06,10:50:00,3667.00,3668.00,3667.00,3667.00,134,0\r\n2006-01-06,10:51:00,3667.00,3667.00,3667.00,3667.00,3,0\r\n2006-01-06,10:52:00,3668.00,3668.00,3667.00,3667.00,286,0\r\n2006-01-06,10:53:00,3667.00,3667.00,3667.00,3667.00,508,0\r\n2006-01-06,10:54:00,3666.00,3667.00,3666.00,3667.00,70,0\r\n2006-01-06,10:55:00,3667.00,3667.00,3666.00,3667.00,22,0\r\n2006-01-06,10:56:00,3667.00,3667.00,3666.00,3667.00,134,0\r\n2006-01-06,10:57:00,3668.00,3668.00,3667.00,3667.00,101,0\r\n2006-01-06,10:58:00,3668.00,3668.00,3667.00,3668.00,37,0\r\n2006-01-06,10:59:00,3667.00,3667.00,3667.00,3667.00,11,0\r\n2006-01-06,11:00:00,3667.00,3668.00,3667.00,3667.00,221,0\r\n2006-01-06,11:01:00,3668.00,3668.00,3667.00,3667.00,112,0\r\n2006-01-06,11:02:00,3667.00,3669.00,3667.00,3668.00,216,0\r\n2006-01-06,11:03:00,3668.00,3668.00,3667.00,3668.00,322,0\r\n2006-01-06,11:04:00,3668.00,3668.00,3667.00,3668.00,292,0\r\n2006-01-06,11:05:00,3667.00,3668.00,3667.00,3667.00,142,0\r\n2006-01-06,11:06:00,3667.00,3668.00,3667.00,3668.00,448,0\r\n2006-01-06,11:07:00,3668.00,3668.00,3667.00,3667.00,78,0\r\n2006-01-06,11:08:00,3667.00,3667.00,3667.00,3667.00,335,0\r\n2006-01-06,11:09:00,3666.00,3667.00,3666.00,3667.00,220,0\r\n2006-01-06,11:10:00,3667.00,3667.00,3667.00,3667.00,27,0\r\n2006-01-06,11:11:00,3666.00,3666.00,3666.00,3666.00,226,0\r\n2006-01-06,11:12:00,3666.00,3667.00,3666.00,3666.00,188,0\r\n2006-01-06,11:13:00,3666.00,3666.00,3665.00,3666.00,2157,0\r\n2006-01-06,11:14:00,3667.00,3668.00,3667.00,3668.00,429,0\r\n2006-01-06,11:15:00,3668.00,3668.00,3668.00,3668.00,5,0\r\n2006-01-06,11:16:00,3667.00,3668.00,3667.00,3668.00,29,0\r\n2006-01-06,11:17:00,3668.00,3668.00,3667.00,3667.00,101,0\r\n2006-01-06,11:18:00,3668.00,3668.00,3668.00,3668.00,1,0\r\n2006-01-06,11:19:00,3667.00,3667.00,3667.00,3667.00,224,0\r\n2006-01-06,11:20:00,3667.00,3667.00,3667.00,3667.00,430,0\r\n2006-01-06,11:21:00,3667.00,3667.00,3667.00,3667.00,3,0\r\n2006-01-06,11:22:00,3668.00,3668.00,3667.00,3667.00,1509,0\r\n2006-01-06,11:23:00,3668.00,3668.00,3667.00,3668.00,134,0\r\n2006-01-06,11:24:00,3667.00,3668.00,3667.00,3668.00,13,0\r\n2006-01-06,11:25:00,3668.00,3668.00,3668.00,3668.00,20,0\r\n2006-01-06,11:26:00,3668.00,3669.00,3668.00,3668.00,353,0\r\n2006-01-06,11:27:00,3668.00,3669.00,3668.00,3669.00,52,0\r\n2006-01-06,11:28:00,3669.00,3670.00,3669.00,3669.00,836,0\r\n2006-01-06,11:29:00,3670.00,3671.00,3669.00,3670.00,1009,0\r\n2006-01-06,11:30:00,3670.00,3671.00,3670.00,3670.00,512,0\r\n2006-01-06,11:31:00,3670.00,3672.00,3670.00,3671.00,1084,0\r\n2006-01-06,11:32:00,3671.00,3672.00,3671.00,3672.00,492,0\r\n2006-01-06,11:33:00,3672.00,3672.00,3671.00,3671.00,759,0\r\n2006-01-06,11:34:00,3671.00,3671.00,3671.00,3671.00,775,0\r\n2006-01-06,11:35:00,3671.00,3671.00,3670.00,3671.00,322,0\r\n2006-01-06,11:36:00,3670.00,3671.00,3670.00,3671.00,252,0\r\n2006-01-06,11:37:00,3671.00,3671.00,3670.00,3671.00,432,0\r\n2006-01-06,11:38:00,3672.00,3672.00,3671.00,3671.00,153,0\r\n2006-01-06,11:39:00,3671.00,3671.00,3671.00,3671.00,952,0\r\n2006-01-06,11:40:00,3671.00,3671.00,3671.00,3671.00,16,0\r\n2006-01-06,11:41:00,3671.00,3671.00,3671.00,3671.00,122,0\r\n2006-01-06,11:42:00,3671.00,3671.00,3671.00,3671.00,23,0\r\n2006-01-06,11:43:00,3671.00,3672.00,3671.00,3671.00,155,0\r\n2006-01-06,11:44:00,3671.00,3671.00,3671.00,3671.00,40,0\r\n2006-01-06,11:45:00,3671.00,3671.00,3671.00,3671.00,7,0\r\n2006-01-06,11:46:00,3671.00,3671.00,3670.00,3671.00,247,0\r\n2006-01-06,11:47:00,3671.00,3671.00,3670.00,3670.00,455,0\r\n2006-01-06,11:48:00,3671.00,3671.00,3671.00,3671.00,1,0\r\n2006-01-06,11:49:00,3670.00,3671.00,3670.00,3671.00,128,0\r\n2006-01-06,11:50:00,3670.00,3670.00,3670.00,3670.00,1,0\r\n2006-01-06,11:51:00,3671.00,3671.00,3670.00,3670.00,619,0\r\n2006-01-06,11:52:00,3670.00,3670.00,3670.00,3670.00,155,0\r\n2006-01-06,11:53:00,3671.00,3671.00,3670.00,3671.00,66,0\r\n2006-01-06,11:54:00,3671.00,3671.00,3670.00,3670.00,21,0\r\n2006-01-06,11:55:00,3671.00,3671.00,3671.00,3671.00,338,0\r\n2006-01-06,11:56:00,3671.00,3672.00,3671.00,3671.00,18,0\r\n2006-01-06,11:57:00,3671.00,3672.00,3671.00,3671.00,315,0\r\n2006-01-06,11:58:00,3671.00,3671.00,3671.00,3671.00,152,0\r\n2006-01-06,11:59:00,3671.00,3672.00,3671.00,3671.00,126,0\r\n2006-01-06,12:00:00,3671.00,3672.00,3671.00,3671.00,207,0\r\n2006-01-06,12:01:00,3670.00,3671.00,3670.00,3671.00,195,0\r\n2006-01-06,12:02:00,3671.00,3671.00,3671.00,3671.00,16,0\r\n2006-01-06,12:03:00,3671.00,3671.00,3670.00,3670.00,17,0\r\n2006-01-06,12:04:00,3670.00,3671.00,3670.00,3670.00,67,0\r\n2006-01-06,12:05:00,3670.00,3671.00,3670.00,3671.00,123,0\r\n2006-01-06,12:06:00,3670.00,3670.00,3670.00,3670.00,14,0\r\n2006-01-06,12:07:00,3671.00,3671.00,3671.00,3671.00,456,0\r\n2006-01-06,12:08:00,3671.00,3671.00,3671.00,3671.00,19,0\r\n2006-01-06,12:09:00,3671.00,3671.00,3671.00,3671.00,85,0\r\n2006-01-06,12:10:00,3671.00,3671.00,3671.00,3671.00,24,0\r\n2006-01-06,12:11:00,3671.00,3671.00,3671.00,3671.00,3,0\r\n2006-01-06,12:12:00,3670.00,3670.00,3670.00,3670.00,3,0\r\n2006-01-06,12:13:00,3671.00,3671.00,3670.00,3670.00,367,0\r\n2006-01-06,12:14:00,3670.00,3670.00,3670.00,3670.00,443,0\r\n2006-01-06,12:15:00,3670.00,3671.00,3670.00,3671.00,135,0\r\n2006-01-06,12:16:00,3670.00,3670.00,3670.00,3670.00,912,0\r\n2006-01-06,12:17:00,3671.00,3671.00,3671.00,3671.00,1,0\r\n2006-01-06,12:18:00,3670.00,3670.00,3670.00,3670.00,77,0\r\n2006-01-06,12:20:00,3670.00,3670.00,3670.00,3670.00,179,0\r\n2006-01-06,12:21:00,3671.00,3671.00,3670.00,3671.00,42,0\r\n2006-01-06,12:22:00,3671.00,3671.00,3670.00,3670.00,179,0\r\n2006-01-06,12:23:00,3671.00,3671.00,3670.00,3670.00,53,0\r\n2006-01-06,12:24:00,3670.00,3670.00,3670.00,3670.00,98,0\r\n2006-01-06,12:25:00,3670.00,3670.00,3670.00,3670.00,90,0\r\n2006-01-06,12:26:00,3670.00,3671.00,3670.00,3671.00,346,0\r\n2006-01-06,12:27:00,3671.00,3671.00,3670.00,3671.00,17,0\r\n2006-01-06,12:28:00,3670.00,3670.00,3670.00,3670.00,142,0\r\n2006-01-06,12:29:00,3670.00,3670.00,3670.00,3670.00,56,0\r\n2006-01-06,12:30:00,3671.00,3671.00,3670.00,3670.00,134,0\r\n2006-01-06,12:31:00,3670.00,3671.00,3670.00,3670.00,336,0\r\n2006-01-06,12:32:00,3670.00,3671.00,3670.00,3671.00,818,0\r\n2006-01-06,12:33:00,3671.00,3671.00,3671.00,3671.00,31,0\r\n2006-01-06,12:34:00,3670.00,3670.00,3669.00,3669.00,984,0\r\n2006-01-06,12:35:00,3669.00,3669.00,3669.00,3669.00,448,0\r\n2006-01-06,12:36:00,3669.00,3669.00,3669.00,3669.00,3,0\r\n2006-01-06,12:37:00,3669.00,3670.00,3669.00,3670.00,590,0\r\n2006-01-06,12:38:00,3670.00,3670.00,3670.00,3670.00,103,0\r\n2006-01-06,12:39:00,3670.00,3670.00,3670.00,3670.00,1483,0\r\n2006-01-06,12:40:00,3670.00,3670.00,3669.00,3670.00,205,0\r\n2006-01-06,12:42:00,3670.00,3670.00,3670.00,3670.00,1,0\r\n2006-01-06,12:43:00,3670.00,3670.00,3669.00,3670.00,1771,0\r\n2006-01-06,12:44:00,3670.00,3670.00,3669.00,3669.00,451,0\r\n2006-01-06,12:45:00,3670.00,3670.00,3670.00,3670.00,98,0\r\n2006-01-06,12:46:00,3669.00,3670.00,3669.00,3670.00,816,0\r\n2006-01-06,12:47:00,3669.00,3670.00,3669.00,3670.00,2,0\r\n2006-01-06,12:48:00,3670.00,3671.00,3670.00,3671.00,239,0\r\n2006-01-06,12:49:00,3671.00,3671.00,3670.00,3670.00,134,0\r\n2006-01-06,12:50:00,3670.00,3671.00,3670.00,3671.00,170,0\r\n2006-01-06,12:51:00,3670.00,3671.00,3670.00,3671.00,2,0\r\n2006-01-06,12:52:00,3670.00,3671.00,3670.00,3671.00,3,0\r\n2006-01-06,12:53:00,3670.00,3671.00,3670.00,3671.00,17,0\r\n2006-01-06,12:54:00,3671.00,3671.00,3671.00,3671.00,3,0\r\n2006-01-06,12:55:00,3670.00,3671.00,3670.00,3670.00,279,0\r\n2006-01-06,12:56:00,3671.00,3671.00,3671.00,3671.00,14,0\r\n2006-01-06,12:57:00,3670.00,3671.00,3670.00,3671.00,5249,0\r\n2006-01-06,12:58:00,3671.00,3672.00,3671.00,3671.00,76,0\r\n2006-01-06,12:59:00,3671.00,3671.00,3671.00,3671.00,6564,0\r\n2006-01-06,13:00:00,3671.00,3671.00,3671.00,3671.00,9,0\r\n2006-01-06,13:01:00,3670.00,3671.00,3670.00,3671.00,202,0\r\n2006-01-06,13:02:00,3671.00,3671.00,3670.00,3670.00,11,0\r\n2006-01-06,13:03:00,3671.00,3671.00,3670.00,3670.00,217,0\r\n2006-01-06,13:04:00,3670.00,3670.00,3670.00,3670.00,109,0\r\n2006-01-06,13:05:00,3670.00,3671.00,3670.00,3670.00,66,0\r\n2006-01-06,13:06:00,3670.00,3670.00,3670.00,3670.00,1823,0\r\n2006-01-06,13:08:00,3670.00,3670.00,3670.00,3670.00,214,0\r\n2006-01-06,13:09:00,3670.00,3670.00,3670.00,3670.00,36,0\r\n2006-01-06,13:10:00,3670.00,3671.00,3670.00,3671.00,2525,0\r\n2006-01-06,13:11:00,3670.00,3671.00,3670.00,3670.00,424,0\r\n2006-01-06,13:12:00,3670.00,3671.00,3670.00,3670.00,243,0\r\n2006-01-06,13:13:00,3670.00,3670.00,3670.00,3670.00,43,0\r\n2006-01-06,13:14:00,3670.00,3670.00,3670.00,3670.00,10,0\r\n2006-01-06,13:15:00,3670.00,3670.00,3669.00,3670.00,59,0\r\n2006-01-06,13:16:00,3670.00,3671.00,3670.00,3670.00,4048,0\r\n2006-01-06,13:17:00,3671.00,3671.00,3671.00,3671.00,4551,0\r\n2006-01-06,13:18:00,3671.00,3671.00,3671.00,3671.00,251,0\r\n2006-01-06,13:19:00,3671.00,3671.00,3671.00,3671.00,18,0\r\n2006-01-06,13:20:00,3671.00,3671.00,3671.00,3671.00,176,0\r\n2006-01-06,13:21:00,3670.00,3670.00,3670.00,3670.00,366,0\r\n2006-01-06,13:22:00,3671.00,3671.00,3671.00,3671.00,5222,0\r\n2006-01-06,13:23:00,3672.00,3672.00,3671.00,3671.00,503,0\r\n2006-01-06,13:24:00,3672.00,3674.00,3672.00,3674.00,1878,0\r\n2006-01-06,13:25:00,3673.00,3676.00,3673.00,3675.00,3185,0\r\n2006-01-06,13:26:00,3675.00,3677.00,3675.00,3676.00,1115,0\r\n2006-01-06,13:27:00,3676.00,3678.00,3676.00,3677.00,1965,0\r\n2006-01-06,13:28:00,3678.00,3678.00,3677.00,3677.00,762,0\r\n2006-01-06,13:29:00,3677.00,3678.00,3675.00,3678.00,1284,0\r\n2006-01-06,13:30:00,3677.00,3679.00,3677.00,3678.00,1861,0\r\n2006-01-06,13:31:00,3677.00,3680.00,3677.00,3679.00,1638,0\r\n2006-01-06,13:32:00,3679.00,3682.00,3679.00,3680.00,2712,0\r\n2006-01-06,13:33:00,3680.00,3680.00,3677.00,3677.00,756,0\r\n2006-01-06,13:34:00,3677.00,3678.00,3677.00,3678.00,543,0\r\n2006-01-06,13:35:00,3677.00,3678.00,3677.00,3677.00,468,0\r\n2006-01-06,13:36:00,3677.00,3678.00,3677.00,3677.00,44,0\r\n2006-01-06,13:38:00,3677.00,3678.00,3677.00,3677.00,164,0\r\n2006-01-06,13:39:00,3677.00,3677.00,3676.00,3677.00,303,0\r\n2006-01-06,13:40:00,3677.00,3677.00,3677.00,3677.00,103,0\r\n2006-01-06,13:41:00,3677.00,3678.00,3677.00,3678.00,31,0\r\n2006-01-06,13:42:00,3678.00,3678.00,3677.00,3677.00,157,0\r\n2006-01-06,13:43:00,3677.00,3677.00,3676.00,3677.00,135,0\r\n2006-01-06,13:44:00,3676.00,3677.00,3676.00,3677.00,308,0\r\n2006-01-06,13:45:00,3677.00,3677.00,3677.00,3677.00,345,0\r\n2006-01-06,13:46:00,3676.00,3677.00,3676.00,3677.00,706,0\r\n2006-01-06,13:47:00,3677.00,3677.00,3677.00,3677.00,502,0\r\n2006-01-06,13:48:00,3676.00,3676.00,3676.00,3676.00,409,0\r\n2006-01-06,13:50:00,3676.00,3676.00,3676.00,3676.00,6,0\r\n2006-01-06,13:51:00,3676.00,3676.00,3676.00,3676.00,1,0\r\n2006-01-06,13:52:00,3676.00,3677.00,3676.00,3676.00,33,0\r\n2006-01-06,13:53:00,3676.00,3677.00,3676.00,3677.00,31,0\r\n2006-01-06,13:54:00,3676.00,3676.00,3676.00,3676.00,3752,0\r\n2006-01-06,13:55:00,3677.00,3677.00,3677.00,3677.00,452,0\r\n2006-01-06,13:56:00,3677.00,3678.00,3677.00,3677.00,164,0\r\n2006-01-06,13:57:00,3678.00,3678.00,3677.00,3677.00,321,0\r\n2006-01-06,13:58:00,3678.00,3679.00,3678.00,3678.00,349,0\r\n2006-01-06,13:59:00,3678.00,3679.00,3678.00,3678.00,96,0\r\n2006-01-06,14:00:00,3678.00,3678.00,3678.00,3678.00,48,0\r\n2006-01-06,14:01:00,3678.00,3679.00,3678.00,3678.00,529,0\r\n2006-01-06,14:02:00,3679.00,3679.00,3678.00,3678.00,119,0\r\n2006-01-06,14:03:00,3679.00,3679.00,3678.00,3678.00,6,0\r\n2006-01-06,14:04:00,3679.00,3680.00,3679.00,3679.00,469,0\r\n2006-01-06,14:05:00,3679.00,3679.00,3677.00,3678.00,182,0\r\n2006-01-06,14:06:00,3678.00,3679.00,3678.00,3678.00,234,0\r\n2006-01-06,14:07:00,3677.00,3678.00,3677.00,3678.00,29,0\r\n2006-01-06,14:08:00,3678.00,3678.00,3678.00,3678.00,96,0\r\n2006-01-06,14:09:00,3677.00,3678.00,3677.00,3678.00,1104,0\r\n2006-01-06,14:10:00,3678.00,3678.00,3678.00,3678.00,40,0\r\n2006-01-06,14:11:00,3678.00,3678.00,3677.00,3678.00,309,0\r\n2006-01-06,14:12:00,3677.00,3678.00,3677.00,3678.00,4,0\r\n2006-01-06,14:13:00,3678.00,3679.00,3678.00,3679.00,297,0\r\n2006-01-06,14:14:00,3679.00,3679.00,3679.00,3679.00,535,0\r\n2006-01-06,14:15:00,3679.00,3682.00,3679.00,3681.00,1430,0\r\n2006-01-06,14:16:00,3681.00,3682.00,3680.00,3681.00,1278,0\r\n2006-01-06,14:17:00,3682.00,3682.00,3681.00,3682.00,416,0\r\n2006-01-06,14:18:00,3681.00,3681.00,3680.00,3680.00,370,0\r\n2006-01-06,14:19:00,3680.00,3683.00,3680.00,3683.00,685,0\r\n2006-01-06,14:20:00,3683.00,3684.00,3681.00,3681.00,1426,0\r\n2006-01-06,14:21:00,3681.00,3682.00,3681.00,3681.00,654,0\r\n2006-01-06,14:22:00,3681.00,3681.00,3681.00,3681.00,387,0\r\n2006-01-06,14:23:00,3682.00,3682.00,3681.00,3682.00,202,0\r\n2006-01-06,14:24:00,3682.00,3682.00,3681.00,3682.00,651,0\r\n2006-01-06,14:25:00,3681.00,3682.00,3681.00,3681.00,163,0\r\n2006-01-06,14:26:00,3682.00,3682.00,3681.00,3681.00,331,0\r\n2006-01-06,14:27:00,3681.00,3683.00,3681.00,3682.00,540,0\r\n2006-01-06,14:28:00,3683.00,3683.00,3681.00,3681.00,524,0\r\n2006-01-06,14:29:00,3682.00,3683.00,3681.00,3681.00,539,0\r\n2006-01-06,14:30:00,3682.00,3682.00,3680.00,3681.00,1064,0\r\n2006-01-06,14:31:00,3680.00,3681.00,3674.00,3680.00,11595,0\r\n2006-01-06,14:32:00,3680.00,3684.00,3680.00,3683.00,4072,0\r\n2006-01-06,14:33:00,3684.00,3684.00,3681.00,3681.00,2281,0\r\n2006-01-06,14:34:00,3680.00,3681.00,3679.00,3681.00,1420,0\r\n2006-01-06,14:35:00,3680.00,3681.00,3678.00,3678.00,3101,0\r\n2006-01-06,14:36:00,3678.00,3679.00,3677.00,3679.00,1414,0\r\n2006-01-06,14:37:00,3679.00,3679.00,3677.00,3677.00,433,0\r\n2006-01-06,14:38:00,3678.00,3679.00,3678.00,3679.00,515,0\r\n2006-01-06,14:39:00,3679.00,3679.00,3675.00,3675.00,1945,0\r\n2006-01-06,14:40:00,3675.00,3675.00,3673.00,3674.00,1849,0\r\n2006-01-06,14:41:00,3674.00,3676.00,3673.00,3674.00,1479,0\r\n2006-01-06,14:42:00,3675.00,3676.00,3674.00,3675.00,1058,0\r\n2006-01-06,14:43:00,3674.00,3674.00,3672.00,3673.00,3054,0\r\n2006-01-06,14:44:00,3673.00,3674.00,3673.00,3673.00,773,0\r\n2006-01-06,14:45:00,3673.00,3674.00,3673.00,3673.00,311,0\r\n2006-01-06,14:46:00,3673.00,3673.00,3672.00,3673.00,1338,0\r\n2006-01-06,14:47:00,3674.00,3675.00,3673.00,3674.00,855,0\r\n2006-01-06,14:48:00,3674.00,3675.00,3673.00,3673.00,482,0\r\n2006-01-06,14:49:00,3673.00,3674.00,3672.00,3672.00,930,0\r\n2006-01-06,14:50:00,3673.00,3675.00,3672.00,3674.00,468,0\r\n2006-01-06,14:51:00,3674.00,3675.00,3673.00,3674.00,3048,0\r\n2006-01-06,14:52:00,3673.00,3674.00,3673.00,3674.00,457,0\r\n2006-01-06,14:53:00,3674.00,3676.00,3674.00,3676.00,506,0\r\n2006-01-06,14:54:00,3675.00,3676.00,3675.00,3676.00,926,0\r\n2006-01-06,14:55:00,3676.00,3677.00,3676.00,3677.00,682,0\r\n2006-01-06,14:56:00,3678.00,3679.00,3677.00,3678.00,2604,0\r\n2006-01-06,14:57:00,3679.00,3679.00,3678.00,3678.00,144,0\r\n2006-01-06,14:58:00,3678.00,3679.00,3677.00,3678.00,768,0\r\n2006-01-06,14:59:00,3679.00,3681.00,3678.00,3681.00,1996,0\r\n2006-01-06,15:00:00,3681.00,3683.00,3680.00,3683.00,2119,0\r\n2006-01-06,15:01:00,3683.00,3684.00,3682.00,3682.00,2211,0\r\n2006-01-06,15:02:00,3683.00,3683.00,3681.00,3681.00,612,0\r\n2006-01-06,15:03:00,3682.00,3682.00,3681.00,3682.00,104,0\r\n2006-01-06,15:04:00,3681.00,3681.00,3680.00,3680.00,738,0\r\n2006-01-06,15:05:00,3681.00,3681.00,3680.00,3681.00,309,0\r\n2006-01-06,15:06:00,3680.00,3681.00,3679.00,3679.00,777,0\r\n2006-01-06,15:07:00,3679.00,3680.00,3679.00,3679.00,69,0\r\n2006-01-06,15:08:00,3679.00,3679.00,3678.00,3679.00,747,0\r\n2006-01-06,15:09:00,3678.00,3678.00,3677.00,3677.00,534,0\r\n2006-01-06,15:10:00,3678.00,3679.00,3678.00,3678.00,333,0\r\n2006-01-06,15:11:00,3678.00,3678.00,3677.00,3677.00,236,0\r\n2006-01-06,15:12:00,3678.00,3678.00,3675.00,3676.00,1243,0\r\n2006-01-06,15:13:00,3676.00,3676.00,3675.00,3676.00,403,0\r\n2006-01-06,15:14:00,3677.00,3677.00,3676.00,3677.00,245,0\r\n2006-01-06,15:15:00,3677.00,3677.00,3677.00,3677.00,107,0\r\n2006-01-06,15:16:00,3677.00,3678.00,3677.00,3677.00,560,0\r\n2006-01-06,15:17:00,3677.00,3677.00,3677.00,3677.00,493,0\r\n2006-01-06,15:18:00,3678.00,3678.00,3677.00,3678.00,113,0\r\n2006-01-06,15:19:00,3678.00,3678.00,3677.00,3677.00,394,0\r\n2006-01-06,15:20:00,3677.00,3677.00,3677.00,3677.00,17,0\r\n2006-01-06,15:21:00,3678.00,3679.00,3677.00,3679.00,226,0\r\n2006-01-06,15:22:00,3679.00,3679.00,3677.00,3678.00,293,0\r\n2006-01-06,15:23:00,3678.00,3679.00,3677.00,3678.00,650,0\r\n2006-01-06,15:24:00,3678.00,3678.00,3678.00,3678.00,646,0\r\n2006-01-06,15:25:00,3679.00,3679.00,3678.00,3679.00,271,0\r\n2006-01-06,15:26:00,3679.00,3679.00,3678.00,3679.00,24,0\r\n2006-01-06,15:27:00,3679.00,3679.00,3678.00,3679.00,681,0\r\n2006-01-06,15:28:00,3679.00,3679.00,3679.00,3679.00,56,0\r\n2006-01-06,15:29:00,3679.00,3679.00,3679.00,3679.00,161,0\r\n2006-01-06,15:30:00,3680.00,3680.00,3679.00,3679.00,226,0\r\n2006-01-06,15:31:00,3678.00,3679.00,3678.00,3679.00,711,0\r\n2006-01-06,15:32:00,3679.00,3681.00,3679.00,3681.00,1585,0\r\n2006-01-06,15:33:00,3681.00,3682.00,3680.00,3681.00,764,0\r\n2006-01-06,15:34:00,3680.00,3682.00,3680.00,3681.00,781,0\r\n2006-01-06,15:35:00,3681.00,3682.00,3681.00,3681.00,199,0\r\n2006-01-06,15:36:00,3681.00,3681.00,3680.00,3680.00,291,0\r\n2006-01-06,15:37:00,3680.00,3680.00,3677.00,3678.00,1653,0\r\n2006-01-06,15:38:00,3677.00,3679.00,3677.00,3678.00,1052,0\r\n2006-01-06,15:39:00,3678.00,3678.00,3677.00,3677.00,265,0\r\n2006-01-06,15:40:00,3677.00,3677.00,3675.00,3675.00,1169,0\r\n2006-01-06,15:41:00,3675.00,3675.00,3673.00,3673.00,2078,0\r\n2006-01-06,15:42:00,3673.00,3675.00,3673.00,3674.00,755,0\r\n2006-01-06,15:43:00,3675.00,3675.00,3673.00,3674.00,844,0\r\n2006-01-06,15:44:00,3675.00,3675.00,3674.00,3674.00,730,0\r\n2006-01-06,15:45:00,3674.00,3675.00,3674.00,3675.00,1362,0\r\n2006-01-06,15:46:00,3674.00,3675.00,3673.00,3673.00,1972,0\r\n2006-01-06,15:47:00,3673.00,3676.00,3673.00,3676.00,885,0\r\n2006-01-06,15:48:00,3675.00,3676.00,3675.00,3675.00,562,0\r\n2006-01-06,15:49:00,3675.00,3676.00,3675.00,3676.00,1010,0\r\n2006-01-06,15:50:00,3676.00,3677.00,3676.00,3676.00,1720,0\r\n2006-01-06,15:51:00,3676.00,3676.00,3675.00,3676.00,661,0\r\n2006-01-06,15:52:00,3676.00,3678.00,3676.00,3677.00,656,0\r\n2006-01-06,15:53:00,3677.00,3678.00,3676.00,3676.00,909,0\r\n2006-01-06,15:54:00,3676.00,3677.00,3675.00,3675.00,422,0\r\n2006-01-06,15:55:00,3674.00,3675.00,3674.00,3675.00,571,0\r\n2006-01-06,15:56:00,3675.00,3676.00,3675.00,3676.00,2675,0\r\n2006-01-06,15:57:00,3676.00,3676.00,3675.00,3675.00,2254,0\r\n2006-01-06,15:58:00,3675.00,3675.00,3673.00,3675.00,902,0\r\n2006-01-06,15:59:00,3675.00,3676.00,3674.00,3676.00,615,0\r\n2006-01-06,16:00:00,3676.00,3677.00,3676.00,3677.00,730,0\r\n2006-01-06,16:01:00,3676.00,3676.00,3675.00,3675.00,1224,0\r\n2006-01-06,16:02:00,3675.00,3675.00,3674.00,3675.00,1298,0\r\n2006-01-06,16:03:00,3675.00,3675.00,3671.00,3671.00,1995,0\r\n2006-01-06,16:04:00,3671.00,3672.00,3670.00,3671.00,3207,0\r\n2006-01-06,16:05:00,3672.00,3673.00,3671.00,3673.00,855,0\r\n2006-01-06,16:06:00,3672.00,3673.00,3672.00,3673.00,816,0\r\n2006-01-06,16:07:00,3672.00,3673.00,3672.00,3672.00,1472,0\r\n2006-01-06,16:08:00,3672.00,3673.00,3671.00,3673.00,1000,0\r\n2006-01-06,16:09:00,3674.00,3674.00,3672.00,3672.00,1226,0\r\n2006-01-06,16:10:00,3673.00,3673.00,3672.00,3672.00,1014,0\r\n2006-01-06,16:11:00,3672.00,3673.00,3671.00,3673.00,2004,0\r\n2006-01-06,16:12:00,3673.00,3674.00,3673.00,3673.00,361,0\r\n2006-01-06,16:13:00,3673.00,3674.00,3673.00,3674.00,727,0\r\n2006-01-06,16:14:00,3675.00,3676.00,3675.00,3676.00,1375,0\r\n2006-01-06,16:15:00,3675.00,3676.00,3675.00,3675.00,698,0\r\n2006-01-06,16:16:00,3674.00,3675.00,3672.00,3674.00,990,0\r\n2006-01-06,16:17:00,3674.00,3675.00,3673.00,3673.00,460,0\r\n2006-01-06,16:18:00,3673.00,3676.00,3673.00,3676.00,1336,0\r\n2006-01-06,16:19:00,3676.00,3677.00,3675.00,3675.00,1414,0\r\n2006-01-06,16:20:00,3675.00,3675.00,3672.00,3673.00,1870,0\r\n2006-01-06,16:21:00,3673.00,3674.00,3673.00,3674.00,1690,0\r\n2006-01-06,16:22:00,3674.00,3676.00,3674.00,3675.00,1243,0\r\n2006-01-06,16:23:00,3674.00,3675.00,3673.00,3673.00,540,0\r\n2006-01-06,16:24:00,3674.00,3674.00,3671.00,3672.00,1032,0\r\n2006-01-06,16:25:00,3671.00,3673.00,3671.00,3671.00,1826,0\r\n2006-01-06,16:26:00,3671.00,3673.00,3671.00,3671.00,1217,0\r\n2006-01-06,16:27:00,3672.00,3674.00,3672.00,3674.00,1437,0\r\n2006-01-06,16:28:00,3673.00,3674.00,3673.00,3673.00,166,0\r\n2006-01-06,16:29:00,3673.00,3675.00,3673.00,3674.00,547,0\r\n2006-01-06,16:30:00,3674.00,3674.00,3673.00,3673.00,496,0\r\n2006-01-06,16:31:00,3673.00,3675.00,3673.00,3675.00,411,0\r\n2006-01-06,16:32:00,3674.00,3675.00,3673.00,3674.00,369,0\r\n2006-01-06,16:33:00,3675.00,3676.00,3674.00,3674.00,1310,0\r\n2006-01-06,16:34:00,3674.00,3675.00,3672.00,3672.00,2158,0\r\n2006-01-06,16:35:00,3673.00,3674.00,3672.00,3673.00,813,0\r\n2006-01-06,16:36:00,3673.00,3674.00,3673.00,3673.00,317,0\r\n2006-01-06,16:37:00,3674.00,3675.00,3673.00,3674.00,1289,0\r\n2006-01-06,16:38:00,3674.00,3674.00,3673.00,3674.00,545,0\r\n2006-01-06,16:39:00,3673.00,3674.00,3673.00,3674.00,856,0\r\n2006-01-06,16:40:00,3674.00,3675.00,3674.00,3674.00,501,0\r\n2006-01-06,16:41:00,3675.00,3676.00,3674.00,3675.00,2622,0\r\n2006-01-06,16:42:00,3676.00,3676.00,3673.00,3674.00,1583,0\r\n2006-01-06,16:43:00,3674.00,3675.00,3673.00,3674.00,846,0\r\n2006-01-06,16:44:00,3675.00,3675.00,3673.00,3673.00,841,0\r\n2006-01-06,16:45:00,3674.00,3675.00,3674.00,3674.00,573,0\r\n2006-01-06,16:46:00,3675.00,3675.00,3672.00,3672.00,1851,0\r\n2006-01-06,16:47:00,3672.00,3674.00,3671.00,3674.00,1147,0\r\n2006-01-06,16:48:00,3674.00,3674.00,3672.00,3672.00,2174,0\r\n2006-01-06,16:49:00,3673.00,3673.00,3673.00,3673.00,584,0\r\n2006-01-06,16:50:00,3673.00,3675.00,3673.00,3675.00,1942,0\r\n2006-01-06,16:51:00,3674.00,3676.00,3674.00,3675.00,407,0\r\n2006-01-06,16:52:00,3675.00,3676.00,3675.00,3675.00,238,0\r\n2006-01-06,16:53:00,3675.00,3675.00,3674.00,3674.00,414,0\r\n2006-01-06,16:54:00,3674.00,3676.00,3674.00,3675.00,161,0\r\n2006-01-06,16:55:00,3675.00,3675.00,3675.00,3675.00,77,0\r\n2006-01-06,16:56:00,3675.00,3676.00,3674.00,3675.00,805,0\r\n2006-01-06,16:57:00,3675.00,3675.00,3674.00,3674.00,138,0\r\n2006-01-06,16:58:00,3674.00,3675.00,3673.00,3674.00,856,0\r\n2006-01-06,16:59:00,3674.00,3675.00,3673.00,3675.00,2952,0\r\n2006-01-06,17:00:00,3675.00,3675.00,3675.00,3675.00,770,0\r\n2006-01-06,17:01:00,3675.00,3676.00,3675.00,3676.00,673,0\r\n2006-01-06,17:02:00,3676.00,3678.00,3676.00,3678.00,2151,0\r\n2006-01-06,17:03:00,3677.00,3678.00,3675.00,3677.00,1400,0\r\n2006-01-06,17:04:00,3677.00,3677.00,3674.00,3674.00,1383,0\r\n2006-01-06,17:05:00,3674.00,3675.00,3674.00,3675.00,320,0\r\n2006-01-06,17:06:00,3675.00,3676.00,3675.00,3676.00,710,0\r\n2006-01-06,17:07:00,3676.00,3677.00,3676.00,3676.00,338,0\r\n2006-01-06,17:08:00,3677.00,3677.00,3675.00,3675.00,1033,0\r\n2006-01-06,17:09:00,3675.00,3676.00,3674.00,3675.00,358,0\r\n2006-01-06,17:10:00,3675.00,3675.00,3674.00,3675.00,402,0\r\n2006-01-06,17:11:00,3675.00,3675.00,3673.00,3673.00,1221,0\r\n2006-01-06,17:12:00,3673.00,3675.00,3673.00,3675.00,758,0\r\n2006-01-06,17:13:00,3675.00,3675.00,3674.00,3675.00,283,0\r\n2006-01-06,17:14:00,3674.00,3676.00,3674.00,3675.00,1315,0\r\n2006-01-06,17:15:00,3675.00,3675.00,3674.00,3674.00,935,0\r\n2006-01-06,17:16:00,3675.00,3677.00,3674.00,3675.00,1678,0\r\n2006-01-06,17:17:00,3675.00,3677.00,3675.00,3676.00,1023,0\r\n2006-01-06,17:18:00,3677.00,3677.00,3676.00,3676.00,986,0\r\n2006-01-06,17:19:00,3676.00,3678.00,3676.00,3677.00,978,0\r\n2006-01-06,17:20:00,3677.00,3677.00,3676.00,3676.00,385,0\r\n2006-01-06,17:21:00,3677.00,3677.00,3676.00,3676.00,542,0\r\n2006-01-06,17:22:00,3676.00,3678.00,3676.00,3678.00,1296,0\r\n2006-01-06,17:23:00,3678.00,3679.00,3677.00,3678.00,1794,0\r\n2006-01-06,17:24:00,3678.00,3682.00,3678.00,3679.00,3338,0\r\n2006-01-06,17:25:00,3679.00,3681.00,3679.00,3679.00,1655,0\r\n2006-01-06,17:26:00,3679.00,3681.00,3679.00,3681.00,3181,0\r\n2006-01-06,17:27:00,3682.00,3682.00,3680.00,3682.00,2290,0\r\n2006-01-06,17:28:00,3681.00,3682.00,3680.00,3680.00,1293,0\r\n2006-01-06,17:29:00,3680.00,3681.00,3680.00,3680.00,954,0\r\n2006-01-06,17:30:00,3680.00,3682.00,3680.00,3681.00,3881,0\r\n2006-01-06,17:31:00,3682.00,3682.00,3680.00,3682.00,3226,0\r\n2006-01-06,17:32:00,3681.00,3682.00,3681.00,3682.00,1028,0\r\n2006-01-06,17:33:00,3682.00,3682.00,3681.00,3682.00,538,0\r\n2006-01-06,17:34:00,3681.00,3686.00,3681.00,3684.00,5070,0\r\n2006-01-06,17:35:00,3684.00,3684.00,3682.00,3684.00,1373,0\r\n2006-01-06,17:36:00,3683.00,3684.00,3682.00,3683.00,1228,0\r\n2006-01-06,17:37:00,3682.00,3685.00,3682.00,3684.00,987,0\r\n2006-01-06,17:38:00,3685.00,3686.00,3684.00,3685.00,2200,0\r\n2006-01-06,17:39:00,3685.00,3686.00,3684.00,3685.00,918,0\r\n2006-01-06,17:40:00,3684.00,3685.00,3683.00,3685.00,715,0\r\n2006-01-06,17:41:00,3684.00,3685.00,3683.00,3683.00,199,0\r\n2006-01-06,17:42:00,3683.00,3684.00,3683.00,3683.00,291,0\r\n2006-01-06,17:43:00,3684.00,3684.00,3682.00,3683.00,290,0\r\n2006-01-06,17:44:00,3683.00,3684.00,3682.00,3682.00,556,0\r\n2006-01-06,17:45:00,3682.00,3683.00,3681.00,3683.00,868,0\r\n2006-01-06,17:46:00,3683.00,3684.00,3682.00,3682.00,460,0\r\n2006-01-06,17:47:00,3683.00,3684.00,3682.00,3683.00,141,0\r\n2006-01-06,17:48:00,3683.00,3684.00,3682.00,3683.00,223,0\r\n2006-01-06,17:49:00,3683.00,3683.00,3682.00,3682.00,407,0\r\n2006-01-06,17:50:00,3683.00,3683.00,3682.00,3683.00,483,0\r\n2006-01-06,17:51:00,3683.00,3684.00,3683.00,3683.00,320,0\r\n2006-01-06,17:52:00,3683.00,3684.00,3683.00,3684.00,264,0\r\n2006-01-06,17:53:00,3684.00,3684.00,3683.00,3683.00,257,0\r\n2006-01-06,17:54:00,3684.00,3684.00,3681.00,3681.00,817,0\r\n2006-01-06,17:55:00,3682.00,3682.00,3680.00,3680.00,387,0\r\n2006-01-06,17:56:00,3681.00,3681.00,3680.00,3680.00,638,0\r\n2006-01-06,17:57:00,3680.00,3681.00,3680.00,3681.00,430,0\r\n2006-01-06,17:58:00,3681.00,3682.00,3681.00,3681.00,130,0\r\n2006-01-06,17:59:00,3681.00,3681.00,3681.00,3681.00,11,0\r\n2006-01-06,18:00:00,3681.00,3681.00,3681.00,3681.00,166,0\r\n2006-01-06,18:01:00,3681.00,3683.00,3680.00,3682.00,527,0\r\n2006-01-06,18:02:00,3682.00,3683.00,3682.00,3683.00,189,0\r\n2006-01-06,18:03:00,3683.00,3685.00,3683.00,3685.00,284,0\r\n2006-01-06,18:04:00,3684.00,3685.00,3684.00,3685.00,304,0\r\n2006-01-06,18:05:00,3684.00,3684.00,3684.00,3684.00,45,0\r\n2006-01-06,18:06:00,3685.00,3685.00,3684.00,3684.00,218,0\r\n2006-01-06,18:07:00,3684.00,3684.00,3682.00,3683.00,276,0\r\n2006-01-06,18:08:00,3684.00,3684.00,3684.00,3684.00,11,0\r\n2006-01-06,18:09:00,3683.00,3683.00,3683.00,3683.00,15,0\r\n2006-01-06,18:10:00,3683.00,3684.00,3682.00,3684.00,404,0\r\n2006-01-06,18:11:00,3684.00,3684.00,3683.00,3683.00,173,0\r\n2006-01-06,18:12:00,3682.00,3684.00,3682.00,3683.00,366,0\r\n2006-01-06,18:13:00,3684.00,3685.00,3683.00,3685.00,117,0\r\n2006-01-06,18:14:00,3685.00,3685.00,3684.00,3684.00,281,0\r\n2006-01-06,18:15:00,3685.00,3686.00,3684.00,3684.00,288,0\r\n2006-01-06,18:16:00,3684.00,3685.00,3684.00,3685.00,34,0\r\n2006-01-06,18:17:00,3684.00,3684.00,3684.00,3684.00,179,0\r\n2006-01-06,18:18:00,3683.00,3684.00,3683.00,3683.00,322,0\r\n2006-01-06,18:19:00,3683.00,3683.00,3683.00,3683.00,19,0\r\n2006-01-06,18:20:00,3684.00,3685.00,3684.00,3684.00,187,0\r\n2006-01-06,18:21:00,3684.00,3684.00,3684.00,3684.00,219,0\r\n2006-01-06,18:22:00,3684.00,3684.00,3683.00,3684.00,475,0\r\n2006-01-06,18:23:00,3684.00,3685.00,3684.00,3685.00,181,0\r\n2006-01-06,18:24:00,3685.00,3686.00,3684.00,3686.00,165,0\r\n2006-01-06,18:25:00,3685.00,3686.00,3684.00,3686.00,389,0\r\n2006-01-06,18:26:00,3686.00,3688.00,3686.00,3688.00,1167,0\r\n2006-01-06,18:27:00,3687.00,3688.00,3686.00,3686.00,919,0\r\n2006-01-06,18:28:00,3686.00,3688.00,3686.00,3687.00,494,0\r\n2006-01-06,18:29:00,3687.00,3687.00,3687.00,3687.00,295,0\r\n2006-01-06,18:30:00,3687.00,3688.00,3686.00,3687.00,305,0\r\n2006-01-06,18:31:00,3686.00,3686.00,3685.00,3685.00,527,0\r\n2006-01-06,18:32:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-06,18:33:00,3685.00,3686.00,3685.00,3686.00,739,0\r\n2006-01-06,18:34:00,3686.00,3686.00,3685.00,3686.00,507,0\r\n2006-01-06,18:35:00,3687.00,3688.00,3687.00,3687.00,289,0\r\n2006-01-06,18:36:00,3686.00,3688.00,3686.00,3687.00,595,0\r\n2006-01-06,18:37:00,3687.00,3689.00,3687.00,3689.00,1602,0\r\n2006-01-06,18:38:00,3688.00,3689.00,3688.00,3689.00,350,0\r\n2006-01-06,18:39:00,3689.00,3689.00,3688.00,3688.00,259,0\r\n2006-01-06,18:40:00,3687.00,3687.00,3687.00,3687.00,20,0\r\n2006-01-06,18:41:00,3688.00,3688.00,3687.00,3687.00,27,0\r\n2006-01-06,18:42:00,3688.00,3688.00,3687.00,3687.00,530,0\r\n2006-01-06,18:43:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-01-06,18:44:00,3688.00,3688.00,3688.00,3688.00,214,0\r\n2006-01-06,18:45:00,3688.00,3688.00,3688.00,3688.00,8,0\r\n2006-01-06,18:46:00,3688.00,3689.00,3687.00,3688.00,272,0\r\n2006-01-06,18:47:00,3688.00,3690.00,3688.00,3689.00,371,0\r\n2006-01-06,18:48:00,3689.00,3690.00,3689.00,3689.00,283,0\r\n2006-01-06,18:49:00,3688.00,3688.00,3688.00,3688.00,10,0\r\n2006-01-06,18:50:00,3688.00,3688.00,3687.00,3687.00,628,0\r\n2006-01-06,18:51:00,3688.00,3688.00,3687.00,3687.00,601,0\r\n2006-01-06,18:52:00,3688.00,3688.00,3687.00,3688.00,785,0\r\n2006-01-06,18:53:00,3688.00,3688.00,3687.00,3687.00,206,0\r\n2006-01-06,18:54:00,3687.00,3687.00,3686.00,3686.00,309,0\r\n2006-01-06,18:55:00,3686.00,3686.00,3685.00,3686.00,495,0\r\n2006-01-06,18:56:00,3685.00,3686.00,3684.00,3684.00,1012,0\r\n2006-01-06,18:57:00,3685.00,3686.00,3685.00,3685.00,491,0\r\n2006-01-06,18:58:00,3685.00,3686.00,3685.00,3685.00,59,0\r\n2006-01-06,18:59:00,3685.00,3685.00,3685.00,3685.00,91,0\r\n2006-01-06,19:00:00,3685.00,3685.00,3683.00,3684.00,464,0\r\n2006-01-06,19:01:00,3683.00,3683.00,3683.00,3683.00,349,0\r\n2006-01-06,19:02:00,3683.00,3683.00,3682.00,3682.00,102,0\r\n2006-01-06,19:03:00,3683.00,3683.00,3682.00,3682.00,23,0\r\n2006-01-06,19:04:00,3683.00,3683.00,3683.00,3683.00,2,0\r\n2006-01-06,19:06:00,3683.00,3685.00,3683.00,3684.00,500,0\r\n2006-01-06,19:07:00,3684.00,3686.00,3684.00,3686.00,188,0\r\n2006-01-06,19:08:00,3685.00,3686.00,3685.00,3686.00,10,0\r\n2006-01-06,19:09:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-06,19:10:00,3685.00,3685.00,3684.00,3685.00,195,0\r\n2006-01-06,19:11:00,3684.00,3685.00,3684.00,3684.00,15,0\r\n2006-01-06,19:12:00,3684.00,3685.00,3684.00,3685.00,240,0\r\n2006-01-06,19:13:00,3686.00,3686.00,3686.00,3686.00,25,0\r\n2006-01-06,19:14:00,3686.00,3686.00,3686.00,3686.00,77,0\r\n2006-01-06,19:15:00,3686.00,3686.00,3685.00,3686.00,96,0\r\n2006-01-06,19:16:00,3686.00,3687.00,3685.00,3686.00,482,0\r\n2006-01-06,19:17:00,3686.00,3687.00,3684.00,3685.00,1047,0\r\n2006-01-06,19:18:00,3686.00,3687.00,3685.00,3686.00,272,0\r\n2006-01-06,19:19:00,3686.00,3687.00,3685.00,3685.00,467,0\r\n2006-01-06,19:20:00,3685.00,3685.00,3685.00,3685.00,331,0\r\n2006-01-06,19:21:00,3685.00,3686.00,3685.00,3686.00,54,0\r\n2006-01-06,19:22:00,3685.00,3686.00,3685.00,3685.00,471,0\r\n2006-01-06,19:23:00,3685.00,3687.00,3685.00,3687.00,76,0\r\n2006-01-06,19:24:00,3688.00,3688.00,3686.00,3686.00,118,0\r\n2006-01-06,19:25:00,3687.00,3687.00,3687.00,3687.00,77,0\r\n2006-01-06,19:26:00,3687.00,3687.00,3687.00,3687.00,57,0\r\n2006-01-06,19:27:00,3686.00,3686.00,3686.00,3686.00,70,0\r\n2006-01-06,19:28:00,3686.00,3687.00,3686.00,3686.00,73,0\r\n2006-01-06,19:29:00,3686.00,3686.00,3686.00,3686.00,44,0\r\n2006-01-06,19:30:00,3687.00,3687.00,3687.00,3687.00,12,0\r\n2006-01-06,19:31:00,3686.00,3686.00,3685.00,3685.00,357,0\r\n2006-01-06,19:32:00,3686.00,3686.00,3685.00,3685.00,525,0\r\n2006-01-06,19:33:00,3685.00,3685.00,3685.00,3685.00,114,0\r\n2006-01-06,19:34:00,3685.00,3685.00,3685.00,3685.00,287,0\r\n2006-01-06,19:35:00,3685.00,3685.00,3685.00,3685.00,209,0\r\n2006-01-06,19:36:00,3685.00,3685.00,3684.00,3684.00,273,0\r\n2006-01-06,19:37:00,3685.00,3685.00,3685.00,3685.00,350,0\r\n2006-01-06,19:38:00,3686.00,3686.00,3685.00,3685.00,313,0\r\n2006-01-06,19:39:00,3686.00,3686.00,3685.00,3686.00,139,0\r\n2006-01-06,19:40:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-06,19:41:00,3685.00,3685.00,3685.00,3685.00,11,0\r\n2006-01-06,19:42:00,3685.00,3685.00,3685.00,3685.00,2,0\r\n2006-01-06,19:43:00,3685.00,3685.00,3685.00,3685.00,4,0\r\n2006-01-06,19:44:00,3685.00,3685.00,3685.00,3685.00,11,0\r\n2006-01-06,19:45:00,3686.00,3686.00,3686.00,3686.00,2,0\r\n2006-01-06,19:46:00,3685.00,3685.00,3685.00,3685.00,7,0\r\n2006-01-06,19:47:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-06,19:48:00,3686.00,3689.00,3686.00,3688.00,375,0\r\n2006-01-06,19:49:00,3688.00,3688.00,3688.00,3688.00,89,0\r\n2006-01-06,19:50:00,3687.00,3688.00,3687.00,3688.00,135,0\r\n2006-01-06,19:51:00,3688.00,3688.00,3688.00,3688.00,206,0\r\n2006-01-06,19:52:00,3689.00,3689.00,3688.00,3689.00,520,0\r\n2006-01-06,19:53:00,3688.00,3690.00,3688.00,3690.00,85,0\r\n2006-01-06,19:54:00,3689.00,3689.00,3689.00,3689.00,34,0\r\n2006-01-06,19:55:00,3689.00,3690.00,3689.00,3689.00,231,0\r\n2006-01-06,19:56:00,3689.00,3689.00,3688.00,3689.00,52,0\r\n2006-01-06,19:57:00,3688.00,3690.00,3688.00,3689.00,174,0\r\n2006-01-06,19:58:00,3689.00,3689.00,3689.00,3689.00,53,0\r\n2006-01-06,19:59:00,3689.00,3690.00,3689.00,3689.00,213,0\r\n2006-01-06,20:00:00,3689.00,3689.00,3689.00,3689.00,33,0\r\n2006-01-06,20:01:00,3689.00,3690.00,3689.00,3689.00,59,0\r\n2006-01-06,20:02:00,3689.00,3690.00,3689.00,3690.00,92,0\r\n2006-01-06,20:03:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-01-06,20:04:00,3689.00,3689.00,3689.00,3689.00,29,0\r\n2006-01-06,20:05:00,3689.00,3689.00,3689.00,3689.00,115,0\r\n2006-01-06,20:06:00,3689.00,3689.00,3689.00,3689.00,11,0\r\n2006-01-06,20:07:00,3690.00,3690.00,3690.00,3690.00,80,0\r\n2006-01-06,20:08:00,3690.00,3691.00,3690.00,3690.00,70,0\r\n2006-01-06,20:09:00,3689.00,3690.00,3689.00,3690.00,181,0\r\n2006-01-06,20:10:00,3690.00,3690.00,3690.00,3690.00,110,0\r\n2006-01-06,20:11:00,3690.00,3691.00,3690.00,3690.00,72,0\r\n2006-01-06,20:12:00,3690.00,3690.00,3690.00,3690.00,157,0\r\n2006-01-06,20:13:00,3690.00,3690.00,3690.00,3690.00,30,0\r\n2006-01-06,20:14:00,3691.00,3691.00,3691.00,3691.00,43,0\r\n2006-01-06,20:15:00,3691.00,3691.00,3690.00,3690.00,341,0\r\n2006-01-06,20:16:00,3691.00,3693.00,3691.00,3691.00,706,0\r\n2006-01-06,20:17:00,3691.00,3693.00,3691.00,3693.00,210,0\r\n2006-01-06,20:18:00,3693.00,3693.00,3692.00,3692.00,9,0\r\n2006-01-06,20:19:00,3693.00,3693.00,3692.00,3692.00,442,0\r\n2006-01-06,20:20:00,3692.00,3693.00,3691.00,3693.00,127,0\r\n2006-01-06,20:21:00,3692.00,3692.00,3692.00,3692.00,110,0\r\n2006-01-06,20:22:00,3692.00,3692.00,3691.00,3691.00,102,0\r\n2006-01-06,20:23:00,3691.00,3691.00,3691.00,3691.00,8,0\r\n2006-01-06,20:24:00,3691.00,3691.00,3691.00,3691.00,4,0\r\n2006-01-06,20:25:00,3690.00,3690.00,3690.00,3690.00,376,0\r\n2006-01-06,20:26:00,3690.00,3690.00,3690.00,3690.00,1,0\r\n2006-01-06,20:27:00,3689.00,3689.00,3689.00,3689.00,8,0\r\n2006-01-06,20:28:00,3689.00,3689.00,3689.00,3689.00,2,0\r\n2006-01-06,20:29:00,3690.00,3690.00,3690.00,3690.00,84,0\r\n2006-01-06,20:31:00,3690.00,3690.00,3689.00,3689.00,173,0\r\n2006-01-06,20:34:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-01-06,20:35:00,3690.00,3690.00,3690.00,3690.00,1,0\r\n2006-01-06,20:36:00,3689.00,3690.00,3689.00,3690.00,140,0\r\n2006-01-06,20:37:00,3690.00,3690.00,3690.00,3690.00,37,0\r\n2006-01-06,20:38:00,3690.00,3690.00,3690.00,3690.00,5,0\r\n2006-01-06,20:39:00,3690.00,3691.00,3690.00,3691.00,103,0\r\n2006-01-06,20:40:00,3690.00,3690.00,3690.00,3690.00,4,0\r\n2006-01-06,20:42:00,3690.00,3690.00,3690.00,3690.00,1,0\r\n2006-01-06,20:44:00,3691.00,3691.00,3691.00,3691.00,33,0\r\n2006-01-06,20:46:00,3691.00,3692.00,3691.00,3692.00,12,0\r\n2006-01-06,20:48:00,3692.00,3692.00,3691.00,3691.00,9,0\r\n2006-01-06,20:49:00,3691.00,3691.00,3691.00,3691.00,16,0\r\n2006-01-06,20:50:00,3691.00,3691.00,3691.00,3691.00,7,0\r\n2006-01-06,20:51:00,3690.00,3691.00,3690.00,3691.00,107,0\r\n2006-01-06,20:52:00,3691.00,3691.00,3691.00,3691.00,9,0\r\n2006-01-06,20:54:00,3691.00,3691.00,3690.00,3691.00,8,0\r\n2006-01-06,20:55:00,3691.00,3691.00,3691.00,3691.00,2,0\r\n2006-01-06,20:56:00,3691.00,3691.00,3691.00,3691.00,1,0\r\n2006-01-06,20:57:00,3691.00,3691.00,3691.00,3691.00,1,0\r\n2006-01-06,21:00:00,3691.00,3692.00,3691.00,3692.00,46,0\r\n2006-01-06,21:02:00,3691.00,3692.00,3691.00,3692.00,2,0\r\n2006-01-06,21:04:00,3692.00,3692.00,3692.00,3692.00,60,0\r\n2006-01-06,21:05:00,3693.00,3693.00,3693.00,3693.00,54,0\r\n2006-01-06,21:06:00,3693.00,3693.00,3693.00,3693.00,25,0\r\n2006-01-06,21:07:00,3692.00,3692.00,3691.00,3691.00,117,0\r\n2006-01-06,21:08:00,3691.00,3691.00,3691.00,3691.00,38,0\r\n2006-01-06,21:09:00,3691.00,3692.00,3691.00,3692.00,36,0\r\n2006-01-06,21:10:00,3692.00,3692.00,3691.00,3691.00,72,0\r\n2006-01-06,21:11:00,3691.00,3691.00,3690.00,3690.00,3,0\r\n2006-01-06,21:12:00,3691.00,3691.00,3691.00,3691.00,2,0\r\n2006-01-06,21:13:00,3692.00,3693.00,3692.00,3692.00,40,0\r\n2006-01-06,21:14:00,3692.00,3692.00,3692.00,3692.00,2,0\r\n2006-01-06,21:15:00,3691.00,3691.00,3691.00,3691.00,10,0\r\n2006-01-06,21:16:00,3690.00,3690.00,3690.00,3690.00,1,0\r\n2006-01-06,21:17:00,3691.00,3691.00,3691.00,3691.00,3,0\r\n2006-01-06,21:18:00,3691.00,3691.00,3691.00,3691.00,4,0\r\n2006-01-06,21:21:00,3692.00,3692.00,3692.00,3692.00,14,0\r\n2006-01-06,21:22:00,3692.00,3692.00,3692.00,3692.00,54,0\r\n2006-01-06,21:23:00,3692.00,3692.00,3692.00,3692.00,9,0\r\n2006-01-06,21:24:00,3692.00,3692.00,3692.00,3692.00,25,0\r\n2006-01-06,21:25:00,3692.00,3692.00,3692.00,3692.00,26,0\r\n2006-01-06,21:27:00,3692.00,3692.00,3691.00,3692.00,11,0\r\n2006-01-06,21:28:00,3691.00,3691.00,3691.00,3691.00,1,0\r\n2006-01-06,21:29:00,3692.00,3692.00,3692.00,3692.00,46,0\r\n2006-01-06,21:30:00,3692.00,3692.00,3692.00,3692.00,8,0\r\n2006-01-06,21:31:00,3691.00,3692.00,3691.00,3692.00,2,0\r\n2006-01-06,21:32:00,3693.00,3693.00,3693.00,3693.00,1,0\r\n2006-01-06,21:33:00,3693.00,3693.00,3692.00,3692.00,12,0\r\n2006-01-06,21:34:00,3692.00,3693.00,3692.00,3693.00,6,0\r\n2006-01-06,21:36:00,3692.00,3692.00,3691.00,3692.00,9,0\r\n2006-01-06,21:37:00,3693.00,3693.00,3693.00,3693.00,2,0\r\n2006-01-06,21:38:00,3691.00,3691.00,3691.00,3691.00,44,0\r\n2006-01-06,21:39:00,3691.00,3691.00,3690.00,3691.00,28,0\r\n2006-01-06,21:40:00,3692.00,3692.00,3691.00,3691.00,108,0\r\n2006-01-06,21:41:00,3692.00,3692.00,3692.00,3692.00,15,0\r\n2006-01-06,21:42:00,3693.00,3693.00,3691.00,3691.00,8,0\r\n2006-01-06,21:44:00,3692.00,3692.00,3691.00,3691.00,93,0\r\n2006-01-06,21:45:00,3692.00,3692.00,3692.00,3692.00,1,0\r\n2006-01-06,21:46:00,3691.00,3692.00,3691.00,3691.00,116,0\r\n2006-01-06,21:47:00,3691.00,3691.00,3691.00,3691.00,77,0\r\n2006-01-06,21:48:00,3690.00,3691.00,3690.00,3691.00,26,0\r\n2006-01-06,21:49:00,3691.00,3691.00,3691.00,3691.00,39,0\r\n2006-01-06,21:50:00,3691.00,3691.00,3690.00,3690.00,11,0\r\n2006-01-06,21:51:00,3690.00,3691.00,3690.00,3690.00,72,0\r\n2006-01-06,21:52:00,3690.00,3690.00,3690.00,3690.00,77,0\r\n2006-01-06,21:53:00,3690.00,3691.00,3690.00,3690.00,7,0\r\n2006-01-06,21:54:00,3690.00,3691.00,3690.00,3691.00,120,0\r\n2006-01-06,21:55:00,3691.00,3691.00,3690.00,3691.00,140,0\r\n2006-01-06,21:56:00,3691.00,3691.00,3690.00,3691.00,151,0\r\n2006-01-06,21:57:00,3690.00,3691.00,3690.00,3690.00,59,0\r\n2006-01-06,21:58:00,3690.00,3692.00,3690.00,3690.00,154,0\r\n2006-01-06,21:59:00,3690.00,3691.00,3690.00,3690.00,319,0\r\n2006-01-06,22:00:00,3690.00,3691.00,3689.00,3691.00,283,0\r\n2006-01-09,09:01:00,3693.00,3693.00,3691.00,3693.00,6078,0\r\n2006-01-09,09:02:00,3693.00,3695.00,3692.00,3694.00,4707,0\r\n2006-01-09,09:03:00,3695.00,3699.00,3695.00,3698.00,7923,0\r\n2006-01-09,09:04:00,3697.00,3698.00,3696.00,3697.00,1557,0\r\n2006-01-09,09:05:00,3698.00,3698.00,3695.00,3695.00,3300,0\r\n2006-01-09,09:06:00,3696.00,3697.00,3695.00,3696.00,2609,0\r\n2006-01-09,09:07:00,3697.00,3697.00,3696.00,3696.00,1401,0\r\n2006-01-09,09:08:00,3696.00,3698.00,3695.00,3698.00,1939,0\r\n2006-01-09,09:09:00,3698.00,3699.00,3697.00,3698.00,1370,0\r\n2006-01-09,09:10:00,3697.00,3698.00,3695.00,3696.00,1178,0\r\n2006-01-09,09:11:00,3696.00,3696.00,3695.00,3696.00,708,0\r\n2006-01-09,09:12:00,3696.00,3696.00,3694.00,3695.00,1237,0\r\n2006-01-09,09:13:00,3695.00,3697.00,3695.00,3696.00,712,0\r\n2006-01-09,09:14:00,3696.00,3696.00,3695.00,3695.00,118,0\r\n2006-01-09,09:15:00,3695.00,3696.00,3693.00,3693.00,1107,0\r\n2006-01-09,09:16:00,3693.00,3694.00,3691.00,3692.00,1465,0\r\n2006-01-09,09:17:00,3691.00,3693.00,3690.00,3691.00,1796,0\r\n2006-01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\r\n2006-01-09,10:40:00,3690.00,3691.00,3690.00,3691.00,403,0\r\n2006-01-09,10:41:00,3691.00,3691.00,3690.00,3691.00,169,0\r\n2006-01-09,10:42:00,3691.00,3693.00,3691.00,3692.00,1262,0\r\n2006-01-09,10:43:00,3692.00,3693.00,3692.00,3692.00,86,0\r\n2006-01-09,10:44:00,3692.00,3692.00,3691.00,3692.00,106,0\r\n2006-01-09,10:45:00,3692.00,3692.00,3691.00,3692.00,254,0\r\n2006-01-09,10:46:00,3692.00,3693.00,3692.00,3693.00,301,0\r\n2006-01-09,10:47:00,3692.00,3693.00,3691.00,3691.00,323,0\r\n2006-01-09,10:48:00,3692.00,3692.00,3691.00,3692.00,368,0\r\n2006-01-09,10:49:00,3692.00,3692.00,3691.00,3692.00,78,0\r\n2006-01-09,10:50:00,3691.00,3692.00,3690.00,3691.00,1002,0\r\n2006-01-09,10:51:00,3692.00,3693.00,3691.00,3692.00,926,0\r\n2006-01-09,10:52:00,3691.00,3691.00,3690.00,3691.00,406,0\r\n2006-01-09,10:53:00,3691.00,3693.00,3690.00,3692.00,664,0\r\n2006-01-09,10:54:00,3693.00,3693.00,3691.00,3691.00,418,0\r\n2006-01-09,10:55:00,3692.00,3693.00,3691.00,3693.00,233,0\r\n2006-01-09,10:56:00,3693.00,3693.00,3692.00,3693.00,122,0\r\n2006-01-09,10:57:00,3692.00,3694.00,3692.00,3694.00,4353,0\r\n2006-01-09,10:58:00,3694.00,3694.00,3692.00,3693.00,897,0\r\n2006-01-09,10:59:00,3692.00,3693.00,3692.00,3693.00,118,0\r\n2006-01-09,11:00:00,3692.00,3692.00,3691.00,3692.00,739,0\r\n2006-01-09,11:01:00,3693.00,3693.00,3692.00,3692.00,295,0\r\n2006-01-09,11:02:00,3692.00,3692.00,3691.00,3691.00,570,0\r\n2006-01-09,11:03:00,3691.00,3691.00,3690.00,3691.00,53,0\r\n2006-01-09,11:04:00,3691.00,3692.00,3690.00,3691.00,161,0\r\n2006-01-09,11:05:00,3692.00,3692.00,3691.00,3691.00,508,0\r\n2006-01-09,11:06:00,3691.00,3692.00,3691.00,3692.00,222,0\r\n2006-01-09,11:07:00,3693.00,3693.00,3692.00,3692.00,147,0\r\n2006-01-09,11:08:00,3693.00,3693.00,3692.00,3692.00,249,0\r\n2006-01-09,11:09:00,3693.00,3693.00,3692.00,3693.00,78,0\r\n2006-01-09,11:10:00,3693.00,3693.00,3692.00,3692.00,185,0\r\n2006-01-09,11:11:00,3693.00,3694.00,3692.00,3693.00,1154,0\r\n2006-01-09,11:12:00,3694.00,3694.00,3692.00,3693.00,318,0\r\n2006-01-09,11:13:00,3693.00,3694.00,3692.00,3693.00,335,0\r\n2006-01-09,11:14:00,3694.00,3694.00,3693.00,3693.00,61,0\r\n2006-01-09,11:15:00,3694.00,3696.00,3694.00,3696.00,2232,0\r\n2006-01-09,11:16:00,3696.00,3696.00,3695.00,3696.00,582,0\r\n2006-01-09,11:17:00,3696.00,3696.00,3694.00,3695.00,1102,0\r\n2006-01-09,11:18:00,3695.00,3697.00,3695.00,3696.00,490,0\r\n2006-01-09,11:19:00,3696.00,3697.00,3695.00,3695.00,1453,0\r\n2006-01-09,11:20:00,3695.00,3696.00,3694.00,3694.00,1365,0\r\n2006-01-09,11:21:00,3695.00,3696.00,3694.00,3695.00,673,0\r\n2006-01-09,11:22:00,3696.00,3697.00,3695.00,3696.00,913,0\r\n2006-01-09,11:23:00,3695.00,3696.00,3695.00,3695.00,898,0\r\n2006-01-09,11:24:00,3696.00,3697.00,3695.00,3697.00,355,0\r\n2006-01-09,11:25:00,3697.00,3697.00,3696.00,3697.00,222,0\r\n2006-01-09,11:26:00,3697.00,3697.00,3696.00,3697.00,309,0\r\n2006-01-09,11:27:00,3697.00,3697.00,3695.00,3696.00,1433,0\r\n2006-01-09,11:28:00,3696.00,3697.00,3696.00,3697.00,472,0\r\n2006-01-09,11:29:00,3696.00,3697.00,3695.00,3696.00,875,0\r\n2006-01-09,11:30:00,3695.00,3695.00,3694.00,3694.00,548,0\r\n2006-01-09,11:31:00,3695.00,3695.00,3694.00,3695.00,567,0\r\n2006-01-09,11:32:00,3695.00,3696.00,3694.00,3695.00,390,0\r\n2006-01-09,11:33:00,3694.00,3696.00,3694.00,3696.00,180,0\r\n2006-01-09,11:34:00,3696.00,3696.00,3695.00,3695.00,12,0\r\n2006-01-09,11:35:00,3696.00,3696.00,3694.00,3694.00,170,0\r\n2006-01-09,11:36:00,3695.00,3696.00,3694.00,3695.00,829,0\r\n2006-01-09,11:37:00,3694.00,3695.00,3694.00,3694.00,88,0\r\n2006-01-09,11:38:00,3695.00,3695.00,3693.00,3693.00,687,0\r\n2006-01-09,11:39:00,3693.00,3694.00,3693.00,3693.00,44,0\r\n2006-01-09,11:40:00,3694.00,3694.00,3693.00,3694.00,74,0\r\n2006-01-09,11:41:00,3694.00,3695.00,3693.00,3694.00,985,0\r\n2006-01-09,11:42:00,3694.00,3694.00,3694.00,3694.00,1388,0\r\n2006-01-09,11:43:00,3694.00,3694.00,3693.00,3694.00,101,0\r\n2006-01-09,11:44:00,3693.00,3695.00,3693.00,3694.00,264,0\r\n2006-01-09,11:45:00,3695.00,3695.00,3695.00,3695.00,55,0\r\n2006-01-09,11:46:00,3695.00,3695.00,3694.00,3695.00,131,0\r\n2006-01-09,11:47:00,3695.00,3695.00,3694.00,3695.00,65,0\r\n2006-01-09,11:48:00,3695.00,3696.00,3695.00,3695.00,1251,0\r\n2006-01-09,11:49:00,3696.00,3696.00,3695.00,3696.00,139,0\r\n2006-01-09,11:50:00,3696.00,3697.00,3695.00,3696.00,511,0\r\n2006-01-09,11:51:00,3696.00,3696.00,3695.00,3696.00,483,0\r\n2006-01-09,11:52:00,3696.00,3696.00,3695.00,3696.00,11,0\r\n2006-01-09,11:53:00,3696.00,3696.00,3695.00,3696.00,258,0\r\n2006-01-09,11:54:00,3695.00,3696.00,3694.00,3695.00,383,0\r\n2006-01-09,11:55:00,3696.00,3696.00,3695.00,3696.00,38,0\r\n2006-01-09,11:56:00,3696.00,3696.00,3695.00,3696.00,11,0\r\n2006-01-09,11:57:00,3696.00,3696.00,3695.00,3695.00,381,0\r\n2006-01-09,11:58:00,3695.00,3695.00,3694.00,3695.00,48,0\r\n2006-01-09,11:59:00,3695.00,3695.00,3694.00,3695.00,104,0\r\n2006-01-09,12:00:00,3695.00,3696.00,3694.00,3695.00,430,0\r\n2006-01-09,12:01:00,3695.00,3696.00,3694.00,3695.00,176,0\r\n2006-01-09,12:02:00,3695.00,3696.00,3694.00,3694.00,338,0\r\n2006-01-09,12:03:00,3694.00,3695.00,3694.00,3694.00,61,0\r\n2006-01-09,12:04:00,3695.00,3695.00,3693.00,3693.00,261,0\r\n2006-01-09,12:05:00,3693.00,3694.00,3693.00,3694.00,304,0\r\n2006-01-09,12:06:00,3694.00,3694.00,3692.00,3692.00,1451,0\r\n2006-01-09,12:07:00,3693.00,3693.00,3692.00,3693.00,287,0\r\n2006-01-09,12:08:00,3692.00,3693.00,3692.00,3692.00,782,0\r\n2006-01-09,12:09:00,3692.00,3693.00,3692.00,3692.00,40,0\r\n2006-01-09,12:10:00,3693.00,3693.00,3692.00,3693.00,23,0\r\n2006-01-09,12:11:00,3693.00,3693.00,3691.00,3692.00,1320,0\r\n2006-01-09,12:12:00,3692.00,3692.00,3691.00,3692.00,24,0\r\n2006-01-09,12:13:00,3691.00,3693.00,3691.00,3693.00,288,0\r\n2006-01-09,12:14:00,3693.00,3693.00,3692.00,3692.00,689,0\r\n2006-01-09,12:15:00,3692.00,3693.00,3692.00,3693.00,11,0\r\n2006-01-09,12:16:00,3692.00,3693.00,3691.00,3692.00,403,0\r\n2006-01-09,12:17:00,3691.00,3692.00,3691.00,3691.00,58,0\r\n2006-01-09,12:18:00,3691.00,3692.00,3689.00,3689.00,1840,0\r\n2006-01-09,12:19:00,3689.00,3690.00,3688.00,3689.00,2160,0\r\n2006-01-09,12:20:00,3688.00,3690.00,3688.00,3690.00,681,0\r\n2006-01-09,12:21:00,3689.00,3690.00,3689.00,3690.00,99,0\r\n2006-01-09,12:22:00,3690.00,3690.00,3688.00,3689.00,489,0\r\n2006-01-09,12:23:00,3689.00,3690.00,3689.00,3690.00,140,0\r\n2006-01-09,12:24:00,3690.00,3690.00,3690.00,3690.00,48,0\r\n2006-01-09,12:25:00,3690.00,3690.00,3689.00,3690.00,289,0\r\n2006-01-09,12:26:00,3690.00,3690.00,3689.00,3690.00,142,0\r\n2006-01-09,12:27:00,3690.00,3690.00,3689.00,3690.00,14,0\r\n2006-01-09,12:28:00,3689.00,3690.00,3689.00,3690.00,268,0\r\n2006-01-09,12:29:00,3689.00,3690.00,3689.00,3690.00,862,0\r\n2006-01-09,12:30:00,3690.00,3690.00,3689.00,3690.00,104,0\r\n2006-01-09,12:31:00,3689.00,3690.00,3689.00,3689.00,125,0\r\n2006-01-09,12:32:00,3690.00,3691.00,3689.00,3691.00,1142,0\r\n2006-01-09,12:33:00,3691.00,3691.00,3690.00,3690.00,5,0\r\n2006-01-09,12:34:00,3690.00,3691.00,3690.00,3690.00,48,0\r\n2006-01-09,12:35:00,3691.00,3691.00,3690.00,3691.00,159,0\r\n2006-01-09,12:36:00,3690.00,3691.00,3690.00,3691.00,186,0\r\n2006-01-09,12:37:00,3691.00,3692.00,3691.00,3692.00,508,0\r\n2006-01-09,12:38:00,3692.00,3692.00,3690.00,3690.00,815,0\r\n2006-01-09,12:39:00,3690.00,3691.00,3690.00,3690.00,502,0\r\n2006-01-09,12:40:00,3690.00,3691.00,3690.00,3690.00,83,0\r\n2006-01-09,12:41:00,3690.00,3691.00,3690.00,3691.00,252,0\r\n2006-01-09,12:42:00,3691.00,3691.00,3690.00,3691.00,47,0\r\n2006-01-09,12:43:00,3690.00,3691.00,3689.00,3690.00,825,0\r\n2006-01-09,12:44:00,3690.00,3690.00,3689.00,3689.00,657,0\r\n2006-01-09,12:45:00,3690.00,3691.00,3689.00,3691.00,130,0\r\n2006-01-09,12:46:00,3691.00,3691.00,3690.00,3691.00,80,0\r\n2006-01-09,12:47:00,3690.00,3691.00,3690.00,3691.00,271,0\r\n2006-01-09,12:48:00,3691.00,3691.00,3690.00,3690.00,118,0\r\n2006-01-09,12:49:00,3690.00,3690.00,3689.00,3690.00,464,0\r\n2006-01-09,12:50:00,3690.00,3690.00,3689.00,3689.00,18,0\r\n2006-01-09,12:51:00,3689.00,3690.00,3689.00,3690.00,444,0\r\n2006-01-09,12:52:00,3689.00,3690.00,3689.00,3689.00,28,0\r\n2006-01-09,12:53:00,3690.00,3690.00,3689.00,3690.00,218,0\r\n2006-01-09,12:54:00,3690.00,3690.00,3689.00,3689.00,110,0\r\n2006-01-09,12:55:00,3689.00,3689.00,3688.00,3688.00,937,0\r\n2006-01-09,12:56:00,3689.00,3689.00,3689.00,3689.00,3,0\r\n2006-01-09,12:57:00,3688.00,3689.00,3688.00,3688.00,398,0\r\n2006-01-09,12:58:00,3688.00,3689.00,3688.00,3689.00,610,0\r\n2006-01-09,12:59:00,3689.00,3689.00,3688.00,3689.00,328,0\r\n2006-01-09,13:00:00,3689.00,3690.00,3688.00,3689.00,737,0\r\n2006-01-09,13:01:00,3689.00,3690.00,3689.00,3690.00,278,0\r\n2006-01-09,13:02:00,3690.00,3690.00,3689.00,3690.00,286,0\r\n2006-01-09,13:03:00,3689.00,3690.00,3689.00,3689.00,10,0\r\n2006-01-09,13:04:00,3689.00,3690.00,3689.00,3689.00,359,0\r\n2006-01-09,13:05:00,3689.00,3690.00,3688.00,3689.00,283,0\r\n2006-01-09,13:06:00,3689.00,3690.00,3689.00,3690.00,35,0\r\n2006-01-09,13:07:00,3689.00,3690.00,3689.00,3690.00,548,0\r\n2006-01-09,13:08:00,3690.00,3690.00,3689.00,3689.00,56,0\r\n2006-01-09,13:09:00,3690.00,3690.00,3689.00,3689.00,562,0\r\n2006-01-09,13:10:00,3690.00,3690.00,3690.00,3690.00,17,0\r\n2006-01-09,13:11:00,3690.00,3690.00,3689.00,3690.00,94,0\r\n2006-01-09,13:12:00,3690.00,3691.00,3690.00,3690.00,450,0\r\n2006-01-09,13:13:00,3691.00,3691.00,3690.00,3690.00,6,0\r\n2006-01-09,13:14:00,3690.00,3691.00,3690.00,3690.00,82,0\r\n2006-01-09,13:15:00,3690.00,3691.00,3690.00,3691.00,210,0\r\n2006-01-09,13:16:00,3691.00,3691.00,3690.00,3690.00,351,0\r\n2006-01-09,13:17:00,3691.00,3691.00,3690.00,3690.00,6,0\r\n2006-01-09,13:18:00,3690.00,3691.00,3690.00,3690.00,239,0\r\n2006-01-09,13:19:00,3691.00,3691.00,3690.00,3691.00,12,0\r\n2006-01-09,13:20:00,3690.00,3691.00,3690.00,3691.00,143,0\r\n2006-01-09,13:21:00,3690.00,3691.00,3690.00,3691.00,37,0\r\n2006-01-09,13:22:00,3691.00,3691.00,3690.00,3691.00,224,0\r\n2006-01-09,13:23:00,3691.00,3691.00,3690.00,3691.00,851,0\r\n2006-01-09,13:24:00,3691.00,3691.00,3691.00,3691.00,266,0\r\n2006-01-09,13:25:00,3691.00,3691.00,3690.00,3690.00,298,0\r\n2006-01-09,13:26:00,3690.00,3691.00,3689.00,3689.00,651,0\r\n2006-01-09,13:27:00,3690.00,3690.00,3689.00,3690.00,28,0\r\n2006-01-09,13:28:00,3690.00,3690.00,3689.00,3689.00,506,0\r\n2006-01-09,13:29:00,3690.00,3690.00,3689.00,3690.00,890,0\r\n2006-01-09,13:30:00,3690.00,3690.00,3689.00,3690.00,34,0\r\n2006-01-09,13:31:00,3689.00,3690.00,3689.00,3690.00,293,0\r\n2006-01-09,13:32:00,3690.00,3690.00,3689.00,3690.00,7,0\r\n2006-01-09,13:33:00,3689.00,3690.00,3689.00,3689.00,635,0\r\n2006-01-09,13:34:00,3689.00,3690.00,3689.00,3689.00,199,0\r\n2006-01-09,13:35:00,3689.00,3690.00,3689.00,3689.00,133,0\r\n2006-01-09,13:36:00,3690.00,3690.00,3689.00,3689.00,59,0\r\n2006-01-09,13:37:00,3689.00,3690.00,3689.00,3689.00,16,0\r\n2006-01-09,13:38:00,3690.00,3690.00,3689.00,3690.00,71,0\r\n2006-01-09,13:39:00,3690.00,3690.00,3689.00,3689.00,11,0\r\n2006-01-09,13:40:00,3690.00,3690.00,3689.00,3689.00,300,0\r\n2006-01-09,13:41:00,3689.00,3689.00,3688.00,3689.00,103,0\r\n2006-01-09,13:42:00,3689.00,3689.00,3689.00,3689.00,30,0\r\n2006-01-09,13:43:00,3689.00,3690.00,3689.00,3690.00,174,0\r\n2006-01-09,13:44:00,3689.00,3690.00,3689.00,3690.00,16,0\r\n2006-01-09,13:45:00,3690.00,3691.00,3690.00,3691.00,316,0\r\n2006-01-09,13:46:00,3690.00,3690.00,3689.00,3690.00,178,0\r\n2006-01-09,13:47:00,3690.00,3691.00,3689.00,3691.00,118,0\r\n2006-01-09,13:48:00,3690.00,3690.00,3690.00,3690.00,158,0\r\n2006-01-09,13:49:00,3690.00,3691.00,3689.00,3690.00,73,0\r\n2006-01-09,13:50:00,3691.00,3691.00,3690.00,3690.00,47,0\r\n2006-01-09,13:51:00,3690.00,3691.00,3690.00,3690.00,876,0\r\n2006-01-09,13:52:00,3689.00,3690.00,3689.00,3690.00,2,0\r\n2006-01-09,13:53:00,3690.00,3690.00,3689.00,3690.00,195,0\r\n2006-01-09,13:54:00,3689.00,3690.00,3689.00,3689.00,716,0\r\n2006-01-09,13:55:00,3690.00,3690.00,3689.00,3689.00,11,0\r\n2006-01-09,13:56:00,3690.00,3690.00,3690.00,3690.00,5,0\r\n2006-01-09,13:57:00,3690.00,3690.00,3690.00,3690.00,860,0\r\n2006-01-09,13:58:00,3690.00,3690.00,3689.00,3689.00,85,0\r\n2006-01-09,13:59:00,3690.00,3690.00,3689.00,3690.00,339,0\r\n2006-01-09,14:00:00,3689.00,3690.00,3689.00,3690.00,11,0\r\n2006-01-09,14:01:00,3690.00,3691.00,3690.00,3691.00,258,0\r\n2006-01-09,14:02:00,3691.00,3691.00,3690.00,3690.00,216,0\r\n2006-01-09,14:03:00,3690.00,3691.00,3689.00,3690.00,718,0\r\n2006-01-09,14:04:00,3690.00,3690.00,3690.00,3690.00,82,0\r\n2006-01-09,14:05:00,3690.00,3691.00,3690.00,3691.00,772,0\r\n2006-01-09,14:06:00,3691.00,3691.00,3690.00,3691.00,46,0\r\n2006-01-09,14:07:00,3691.00,3691.00,3690.00,3691.00,217,0\r\n2006-01-09,14:08:00,3690.00,3690.00,3690.00,3690.00,1147,0\r\n2006-01-09,14:09:00,3690.00,3690.00,3689.00,3689.00,1242,0\r\n2006-01-09,14:10:00,3690.00,3690.00,3689.00,3689.00,111,0\r\n2006-01-09,14:11:00,3689.00,3689.00,3688.00,3688.00,1472,0\r\n2006-01-09,14:12:00,3689.00,3689.00,3687.00,3687.00,281,0\r\n2006-01-09,14:13:00,3687.00,3688.00,3687.00,3687.00,605,0\r\n2006-01-09,14:14:00,3687.00,3688.00,3687.00,3688.00,380,0\r\n2006-01-09,14:15:00,3688.00,3689.00,3688.00,3689.00,180,0\r\n2006-01-09,14:16:00,3688.00,3689.00,3688.00,3689.00,779,0\r\n2006-01-09,14:17:00,3689.00,3690.00,3689.00,3690.00,234,0\r\n2006-01-09,14:18:00,3689.00,3690.00,3689.00,3689.00,12,0\r\n2006-01-09,14:19:00,3690.00,3690.00,3689.00,3690.00,272,0\r\n2006-01-09,14:20:00,3690.00,3690.00,3689.00,3690.00,6,0\r\n2006-01-09,14:21:00,3689.00,3690.00,3689.00,3690.00,23,0\r\n2006-01-09,14:22:00,3690.00,3690.00,3689.00,3689.00,523,0\r\n2006-01-09,14:23:00,3689.00,3690.00,3688.00,3690.00,197,0\r\n2006-01-09,14:24:00,3690.00,3690.00,3690.00,3690.00,11,0\r\n2006-01-09,14:25:00,3690.00,3690.00,3690.00,3690.00,2769,0\r\n2006-01-09,14:26:00,3690.00,3690.00,3689.00,3689.00,18,0\r\n2006-01-09,14:27:00,3690.00,3690.00,3689.00,3690.00,104,0\r\n2006-01-09,14:28:00,3690.00,3690.00,3689.00,3690.00,20,0\r\n2006-01-09,14:29:00,3689.00,3690.00,3689.00,3690.00,568,0\r\n2006-01-09,14:30:00,3690.00,3690.00,3689.00,3690.00,10,0\r\n2006-01-09,14:31:00,3690.00,3690.00,3690.00,3690.00,173,0\r\n2006-01-09,14:32:00,3690.00,3690.00,3689.00,3690.00,80,0\r\n2006-01-09,14:33:00,3689.00,3690.00,3689.00,3690.00,1324,0\r\n2006-01-09,14:34:00,3689.00,3690.00,3689.00,3690.00,157,0\r\n2006-01-09,14:35:00,3690.00,3690.00,3689.00,3689.00,1281,0\r\n2006-01-09,14:36:00,3689.00,3690.00,3689.00,3690.00,268,0\r\n2006-01-09,14:37:00,3689.00,3690.00,3689.00,3690.00,451,0\r\n2006-01-09,14:38:00,3690.00,3690.00,3688.00,3689.00,127,0\r\n2006-01-09,14:39:00,3689.00,3689.00,3689.00,3689.00,413,0\r\n2006-01-09,14:40:00,3688.00,3689.00,3688.00,3688.00,348,0\r\n2006-01-09,14:41:00,3689.00,3689.00,3688.00,3689.00,2019,0\r\n2006-01-09,14:42:00,3688.00,3689.00,3687.00,3687.00,558,0\r\n2006-01-09,14:43:00,3688.00,3688.00,3686.00,3686.00,1084,0\r\n2006-01-09,14:44:00,3686.00,3687.00,3685.00,3685.00,1286,0\r\n2006-01-09,14:45:00,3685.00,3686.00,3685.00,3686.00,785,0\r\n2006-01-09,14:46:00,3685.00,3686.00,3685.00,3686.00,694,0\r\n2006-01-09,14:47:00,3686.00,3686.00,3685.00,3686.00,3324,0\r\n2006-01-09,14:48:00,3685.00,3686.00,3685.00,3686.00,339,0\r\n2006-01-09,14:49:00,3685.00,3686.00,3685.00,3686.00,1381,0\r\n2006-01-09,14:50:00,3685.00,3686.00,3685.00,3686.00,365,0\r\n2006-01-09,14:51:00,3685.00,3686.00,3684.00,3685.00,3778,0\r\n2006-01-09,14:52:00,3685.00,3687.00,3685.00,3686.00,2511,0\r\n2006-01-09,14:53:00,3687.00,3687.00,3686.00,3687.00,449,0\r\n2006-01-09,14:54:00,3686.00,3687.00,3685.00,3686.00,300,0\r\n2006-01-09,14:55:00,3686.00,3686.00,3685.00,3686.00,1029,0\r\n2006-01-09,14:56:00,3686.00,3686.00,3685.00,3686.00,521,0\r\n2006-01-09,14:57:00,3686.00,3687.00,3686.00,3686.00,364,0\r\n2006-01-09,14:58:00,3686.00,3686.00,3685.00,3686.00,479,0\r\n2006-01-09,14:59:00,3686.00,3687.00,3686.00,3686.00,272,0\r\n2006-01-09,15:00:00,3686.00,3686.00,3685.00,3686.00,500,0\r\n2006-01-09,15:01:00,3686.00,3686.00,3684.00,3684.00,1778,0\r\n2006-01-09,15:02:00,3684.00,3685.00,3683.00,3683.00,1868,0\r\n2006-01-09,15:03:00,3683.00,3685.00,3683.00,3684.00,6849,0\r\n2006-01-09,15:04:00,3683.00,3685.00,3683.00,3684.00,1769,0\r\n2006-01-09,15:05:00,3685.00,3685.00,3684.00,3684.00,414,0\r\n2006-01-09,15:06:00,3684.00,3685.00,3684.00,3685.00,428,0\r\n2006-01-09,15:07:00,3685.00,3685.00,3684.00,3684.00,454,0\r\n2006-01-09,15:08:00,3685.00,3686.00,3685.00,3686.00,193,0\r\n2006-01-09,15:09:00,3686.00,3686.00,3685.00,3686.00,106,0\r\n2006-01-09,15:10:00,3686.00,3686.00,3685.00,3686.00,412,0\r\n2006-01-09,15:11:00,3686.00,3686.00,3685.00,3685.00,489,0\r\n2006-01-09,15:12:00,3686.00,3686.00,3685.00,3686.00,1153,0\r\n2006-01-09,15:13:00,3685.00,3687.00,3685.00,3686.00,281,0\r\n2006-01-09,15:14:00,3687.00,3687.00,3686.00,3687.00,457,0\r\n2006-01-09,15:15:00,3687.00,3687.00,3685.00,3686.00,278,0\r\n2006-01-09,15:16:00,3686.00,3687.00,3686.00,3686.00,213,0\r\n2006-01-09,15:17:00,3686.00,3688.00,3686.00,3687.00,611,0\r\n2006-01-09,15:18:00,3687.00,3688.00,3687.00,3688.00,194,0\r\n2006-01-09,15:19:00,3688.00,3688.00,3687.00,3687.00,52,0\r\n2006-01-09,15:20:00,3688.00,3688.00,3687.00,3688.00,704,0\r\n2006-01-09,15:21:00,3688.00,3689.00,3687.00,3689.00,1131,0\r\n2006-01-09,15:22:00,3689.00,3689.00,3688.00,3689.00,504,0\r\n2006-01-09,15:23:00,3689.00,3689.00,3688.00,3689.00,134,0\r\n2006-01-09,15:24:00,3689.00,3689.00,3688.00,3689.00,498,0\r\n2006-01-09,15:25:00,3689.00,3690.00,3689.00,3690.00,871,0\r\n2006-01-09,15:26:00,3689.00,3690.00,3689.00,3689.00,272,0\r\n2006-01-09,15:27:00,3689.00,3689.00,3689.00,3689.00,39,0\r\n2006-01-09,15:28:00,3688.00,3690.00,3688.00,3689.00,550,0\r\n2006-01-09,15:29:00,3688.00,3689.00,3688.00,3689.00,33,0\r\n2006-01-09,15:30:00,3689.00,3689.00,3688.00,3689.00,198,0\r\n2006-01-09,15:31:00,3688.00,3689.00,3688.00,3688.00,853,0\r\n2006-01-09,15:32:00,3689.00,3690.00,3689.00,3690.00,583,0\r\n2006-01-09,15:33:00,3690.00,3691.00,3689.00,3690.00,2043,0\r\n2006-01-09,15:34:00,3691.00,3691.00,3690.00,3690.00,826,0\r\n2006-01-09,15:35:00,3690.00,3690.00,3689.00,3690.00,1338,0\r\n2006-01-09,15:36:00,3690.00,3690.00,3689.00,3690.00,388,0\r\n2006-01-09,15:37:00,3689.00,3690.00,3689.00,3689.00,623,0\r\n2006-01-09,15:38:00,3690.00,3690.00,3688.00,3688.00,691,0\r\n2006-01-09,15:39:00,3688.00,3690.00,3688.00,3689.00,845,0\r\n2006-01-09,15:40:00,3690.00,3690.00,3689.00,3690.00,58,0\r\n2006-01-09,15:41:00,3690.00,3690.00,3690.00,3690.00,883,0\r\n2006-01-09,15:42:00,3689.00,3690.00,3689.00,3690.00,592,0\r\n2006-01-09,15:43:00,3689.00,3690.00,3688.00,3688.00,1783,0\r\n2006-01-09,15:44:00,3689.00,3689.00,3687.00,3688.00,738,0\r\n2006-01-09,15:45:00,3687.00,3689.00,3687.00,3688.00,1260,0\r\n2006-01-09,15:46:00,3688.00,3689.00,3687.00,3688.00,878,0\r\n2006-01-09,15:47:00,3689.00,3689.00,3688.00,3688.00,856,0\r\n2006-01-09,15:48:00,3689.00,3689.00,3687.00,3687.00,794,0\r\n2006-01-09,15:49:00,3687.00,3688.00,3686.00,3688.00,1560,0\r\n2006-01-09,15:50:00,3688.00,3689.00,3687.00,3688.00,741,0\r\n2006-01-09,15:51:00,3687.00,3688.00,3687.00,3688.00,1318,0\r\n2006-01-09,15:52:00,3687.00,3687.00,3686.00,3687.00,1202,0\r\n2006-01-09,15:53:00,3687.00,3688.00,3686.00,3688.00,223,0\r\n2006-01-09,15:54:00,3688.00,3688.00,3687.00,3688.00,520,0\r\n2006-01-09,15:55:00,3687.00,3688.00,3687.00,3687.00,1191,0\r\n2006-01-09,15:56:00,3687.00,3689.00,3687.00,3689.00,573,0\r\n2006-01-09,15:57:00,3689.00,3689.00,3687.00,3688.00,446,0\r\n2006-01-09,15:58:00,3688.00,3689.00,3684.00,3685.00,2694,0\r\n2006-01-09,15:59:00,3685.00,3686.00,3684.00,3686.00,2028,0\r\n2006-01-09,16:00:00,3685.00,3686.00,3684.00,3686.00,919,0\r\n2006-01-09,16:01:00,3686.00,3687.00,3683.00,3683.00,2021,0\r\n2006-01-09,16:02:00,3683.00,3685.00,3682.00,3684.00,1352,0\r\n2006-01-09,16:03:00,3684.00,3685.00,3683.00,3684.00,1332,0\r\n2006-01-09,16:04:00,3684.00,3684.00,3683.00,3683.00,2016,0\r\n2006-01-09,16:05:00,3682.00,3683.00,3681.00,3682.00,2924,0\r\n2006-01-09,16:06:00,3682.00,3683.00,3682.00,3682.00,1049,0\r\n2006-01-09,16:07:00,3683.00,3683.00,3682.00,3683.00,1318,0\r\n2006-01-09,16:08:00,3682.00,3683.00,3682.00,3682.00,3764,0\r\n2006-01-09,16:09:00,3682.00,3685.00,3682.00,3684.00,1708,0\r\n2006-01-09,16:10:00,3684.00,3685.00,3683.00,3685.00,476,0\r\n2006-01-09,16:11:00,3685.00,3685.00,3683.00,3684.00,759,0\r\n2006-01-09,16:12:00,3684.00,3685.00,3683.00,3685.00,519,0\r\n2006-01-09,16:13:00,3684.00,3685.00,3684.00,3685.00,1827,0\r\n2006-01-09,16:14:00,3685.00,3686.00,3684.00,3686.00,1478,0\r\n2006-01-09,16:15:00,3686.00,3686.00,3685.00,3686.00,1806,0\r\n2006-01-09,16:16:00,3685.00,3687.00,3685.00,3687.00,1029,0\r\n2006-01-09,16:17:00,3687.00,3688.00,3686.00,3687.00,710,0\r\n2006-01-09,16:18:00,3686.00,3688.00,3686.00,3687.00,1957,0\r\n2006-01-09,16:19:00,3688.00,3689.00,3687.00,3687.00,1319,0\r\n2006-01-09,16:20:00,3687.00,3688.00,3686.00,3687.00,1091,0\r\n2006-01-09,16:21:00,3688.00,3688.00,3686.00,3686.00,942,0\r\n2006-01-09,16:22:00,3687.00,3687.00,3685.00,3686.00,796,0\r\n2006-01-09,16:23:00,3686.00,3688.00,3685.00,3687.00,1144,0\r\n2006-01-09,16:24:00,3686.00,3687.00,3685.00,3686.00,230,0\r\n2006-01-09,16:25:00,3686.00,3686.00,3685.00,3686.00,452,0\r\n2006-01-09,16:26:00,3686.00,3687.00,3685.00,3686.00,1115,0\r\n2006-01-09,16:27:00,3685.00,3686.00,3684.00,3686.00,1021,0\r\n2006-01-09,16:28:00,3685.00,3688.00,3685.00,3687.00,1359,0\r\n2006-01-09,16:29:00,3687.00,3687.00,3685.00,3686.00,794,0\r\n2006-01-09,16:30:00,3686.00,3687.00,3685.00,3685.00,486,0\r\n2006-01-09,16:31:00,3685.00,3687.00,3685.00,3687.00,1105,0\r\n2006-01-09,16:32:00,3688.00,3688.00,3687.00,3687.00,4448,0\r\n2006-01-09,16:33:00,3688.00,3688.00,3687.00,3687.00,882,0\r\n2006-01-09,16:34:00,3687.00,3687.00,3686.00,3687.00,279,0\r\n2006-01-09,16:35:00,3686.00,3687.00,3686.00,3687.00,1086,0\r\n2006-01-09,16:36:00,3686.00,3687.00,3686.00,3686.00,389,0\r\n2006-01-09,16:37:00,3687.00,3687.00,3686.00,3686.00,819,0\r\n2006-01-09,16:38:00,3687.00,3687.00,3685.00,3687.00,1105,0\r\n2006-01-09,16:39:00,3686.00,3687.00,3686.00,3686.00,523,0\r\n2006-01-09,16:40:00,3686.00,3687.00,3685.00,3686.00,1286,0\r\n2006-01-09,16:41:00,3686.00,3686.00,3684.00,3685.00,556,0\r\n2006-01-09,16:42:00,3685.00,3685.00,3684.00,3685.00,1464,0\r\n2006-01-09,16:43:00,3686.00,3686.00,3685.00,3686.00,60,0\r\n2006-01-09,16:44:00,3686.00,3686.00,3685.00,3686.00,261,0\r\n2006-01-09,16:45:00,3685.00,3686.00,3685.00,3686.00,195,0\r\n2006-01-09,16:46:00,3686.00,3688.00,3686.00,3688.00,857,0\r\n2006-01-09,16:47:00,3688.00,3688.00,3687.00,3687.00,416,0\r\n2006-01-09,16:48:00,3688.00,3688.00,3687.00,3687.00,422,0\r\n2006-01-09,16:49:00,3688.00,3689.00,3687.00,3689.00,1310,0\r\n2006-01-09,16:50:00,3688.00,3689.00,3688.00,3689.00,591,0\r\n2006-01-09,16:51:00,3688.00,3690.00,3687.00,3687.00,2691,0\r\n2006-01-09,16:52:00,3688.00,3689.00,3687.00,3689.00,821,0\r\n2006-01-09,16:53:00,3688.00,3689.00,3686.00,3687.00,1271,0\r\n2006-01-09,16:54:00,3687.00,3688.00,3685.00,3685.00,916,0\r\n2006-01-09,16:55:00,3686.00,3686.00,3685.00,3685.00,1363,0\r\n2006-01-09,16:56:00,3686.00,3687.00,3685.00,3686.00,1594,0\r\n2006-01-09,16:57:00,3686.00,3686.00,3685.00,3686.00,368,0\r\n2006-01-09,16:58:00,3686.00,3686.00,3685.00,3685.00,1103,0\r\n2006-01-09,16:59:00,3685.00,3685.00,3684.00,3685.00,171,0\r\n2006-01-09,17:00:00,3685.00,3685.00,3683.00,3683.00,1316,0\r\n2006-01-09,17:01:00,3683.00,3685.00,3683.00,3685.00,984,0\r\n2006-01-09,17:02:00,3685.00,3685.00,3683.00,3684.00,1211,0\r\n2006-01-09,17:03:00,3684.00,3684.00,3683.00,3683.00,4056,0\r\n2006-01-09,17:04:00,3683.00,3685.00,3683.00,3684.00,3208,0\r\n2006-01-09,17:05:00,3683.00,3684.00,3683.00,3683.00,833,0\r\n2006-01-09,17:06:00,3684.00,3684.00,3682.00,3682.00,1830,0\r\n2006-01-09,17:07:00,3683.00,3683.00,3682.00,3683.00,695,0\r\n2006-01-09,17:08:00,3683.00,3684.00,3682.00,3683.00,658,0\r\n2006-01-09,17:09:00,3684.00,3684.00,3683.00,3684.00,702,0\r\n2006-01-09,17:10:00,3684.00,3685.00,3683.00,3685.00,1383,0\r\n2006-01-09,17:11:00,3684.00,3685.00,3684.00,3685.00,697,0\r\n2006-01-09,17:12:00,3684.00,3685.00,3683.00,3685.00,1408,0\r\n2006-01-09,17:13:00,3684.00,3685.00,3684.00,3685.00,104,0\r\n2006-01-09,17:14:00,3685.00,3685.00,3684.00,3684.00,1397,0\r\n2006-01-09,17:15:00,3684.00,3684.00,3683.00,3684.00,396,0\r\n2006-01-09,17:16:00,3683.00,3684.00,3683.00,3683.00,766,0\r\n2006-01-09,17:17:00,3683.00,3684.00,3682.00,3683.00,648,0\r\n2006-01-09,17:18:00,3682.00,3684.00,3682.00,3683.00,677,0\r\n2006-01-09,17:19:00,3683.00,3684.00,3683.00,3684.00,1177,0\r\n2006-01-09,17:20:00,3683.00,3684.00,3683.00,3683.00,635,0\r\n2006-01-09,17:21:00,3684.00,3684.00,3683.00,3684.00,1464,0\r\n2006-01-09,17:22:00,3683.00,3685.00,3683.00,3684.00,1295,0\r\n2006-01-09,17:23:00,3685.00,3685.00,3684.00,3685.00,892,0\r\n2006-01-09,17:24:00,3684.00,3685.00,3684.00,3685.00,1165,0\r\n2006-01-09,17:25:00,3684.00,3684.00,3683.00,3684.00,714,0\r\n2006-01-09,17:26:00,3684.00,3685.00,3683.00,3684.00,881,0\r\n2006-01-09,17:27:00,3684.00,3686.00,3684.00,3686.00,880,0\r\n2006-01-09,17:28:00,3685.00,3686.00,3685.00,3685.00,1882,0\r\n2006-01-09,17:29:00,3685.00,3687.00,3685.00,3687.00,1782,0\r\n2006-01-09,17:30:00,3687.00,3687.00,3685.00,3686.00,5196,0\r\n2006-01-09,17:31:00,3686.00,3687.00,3685.00,3686.00,3309,0\r\n2006-01-09,17:32:00,3686.00,3687.00,3686.00,3686.00,1358,0\r\n2006-01-09,17:33:00,3686.00,3687.00,3686.00,3686.00,378,0\r\n2006-01-09,17:34:00,3687.00,3688.00,3686.00,3687.00,3153,0\r\n2006-01-09,17:35:00,3688.00,3688.00,3685.00,3685.00,4802,0\r\n2006-01-09,17:36:00,3685.00,3686.00,3685.00,3686.00,829,0\r\n2006-01-09,17:37:00,3686.00,3687.00,3685.00,3687.00,1230,0\r\n2006-01-09,17:38:00,3687.00,3687.00,3687.00,3687.00,682,0\r\n2006-01-09,17:39:00,3687.00,3687.00,3686.00,3686.00,786,0\r\n2006-01-09,17:40:00,3686.00,3687.00,3686.00,3687.00,945,0\r\n2006-01-09,17:41:00,3686.00,3686.00,3686.00,3686.00,38,0\r\n2006-01-09,17:42:00,3686.00,3687.00,3686.00,3686.00,410,0\r\n2006-01-09,17:43:00,3686.00,3686.00,3685.00,3686.00,166,0\r\n2006-01-09,17:44:00,3686.00,3687.00,3685.00,3685.00,763,0\r\n2006-01-09,17:45:00,3685.00,3686.00,3685.00,3686.00,156,0\r\n2006-01-09,17:46:00,3685.00,3686.00,3685.00,3686.00,624,0\r\n2006-01-09,17:47:00,3686.00,3686.00,3685.00,3686.00,440,0\r\n2006-01-09,17:48:00,3686.00,3686.00,3686.00,3686.00,48,0\r\n2006-01-09,17:49:00,3686.00,3687.00,3686.00,3686.00,263,0\r\n2006-01-09,17:50:00,3686.00,3686.00,3685.00,3686.00,190,0\r\n2006-01-09,17:51:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-09,17:52:00,3687.00,3687.00,3686.00,3686.00,135,0\r\n2006-01-09,17:53:00,3686.00,3686.00,3686.00,3686.00,14,0\r\n2006-01-09,17:54:00,3686.00,3687.00,3686.00,3686.00,522,0\r\n2006-01-09,17:55:00,3686.00,3686.00,3685.00,3686.00,160,0\r\n2006-01-09,17:56:00,3685.00,3686.00,3685.00,3685.00,131,0\r\n2006-01-09,17:57:00,3685.00,3685.00,3684.00,3685.00,295,0\r\n2006-01-09,17:58:00,3685.00,3685.00,3685.00,3685.00,120,0\r\n2006-01-09,17:59:00,3685.00,3685.00,3685.00,3685.00,65,0\r\n2006-01-09,18:00:00,3685.00,3687.00,3685.00,3686.00,638,0\r\n2006-01-09,18:01:00,3687.00,3688.00,3687.00,3688.00,648,0\r\n2006-01-09,18:02:00,3687.00,3688.00,3687.00,3687.00,257,0\r\n2006-01-09,18:03:00,3688.00,3688.00,3687.00,3687.00,434,0\r\n2006-01-09,18:04:00,3687.00,3687.00,3687.00,3687.00,121,0\r\n2006-01-09,18:05:00,3687.00,3688.00,3687.00,3688.00,156,0\r\n2006-01-09,18:06:00,3687.00,3688.00,3687.00,3688.00,30,0\r\n2006-01-09,18:07:00,3688.00,3688.00,3687.00,3687.00,69,0\r\n2006-01-09,18:09:00,3687.00,3688.00,3687.00,3687.00,217,0\r\n2006-01-09,18:10:00,3688.00,3688.00,3688.00,3688.00,368,0\r\n2006-01-09,18:11:00,3688.00,3689.00,3688.00,3688.00,205,0\r\n2006-01-09,18:12:00,3688.00,3688.00,3688.00,3688.00,150,0\r\n2006-01-09,18:13:00,3687.00,3687.00,3687.00,3687.00,292,0\r\n2006-01-09,18:14:00,3687.00,3688.00,3687.00,3687.00,130,0\r\n2006-01-09,18:15:00,3686.00,3686.00,3685.00,3685.00,451,0\r\n2006-01-09,18:16:00,3685.00,3686.00,3685.00,3686.00,273,0\r\n2006-01-09,18:17:00,3686.00,3686.00,3686.00,3686.00,20,0\r\n2006-01-09,18:18:00,3687.00,3687.00,3686.00,3686.00,42,0\r\n2006-01-09,18:19:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-01-09,18:20:00,3687.00,3687.00,3686.00,3686.00,63,0\r\n2006-01-09,18:21:00,3686.00,3686.00,3685.00,3685.00,440,0\r\n2006-01-09,18:22:00,3685.00,3685.00,3685.00,3685.00,76,0\r\n2006-01-09,18:23:00,3685.00,3687.00,3685.00,3687.00,89,0\r\n2006-01-09,18:24:00,3687.00,3687.00,3686.00,3686.00,324,0\r\n2006-01-09,18:25:00,3686.00,3687.00,3686.00,3686.00,123,0\r\n2006-01-09,18:26:00,3687.00,3687.00,3687.00,3687.00,221,0\r\n2006-01-09,18:27:00,3686.00,3688.00,3686.00,3687.00,137,0\r\n2006-01-09,18:28:00,3687.00,3687.00,3687.00,3687.00,83,0\r\n2006-01-09,18:29:00,3686.00,3687.00,3686.00,3687.00,199,0\r\n2006-01-09,18:30:00,3687.00,3687.00,3687.00,3687.00,35,0\r\n2006-01-09,18:31:00,3687.00,3687.00,3687.00,3687.00,151,0\r\n2006-01-09,18:32:00,3687.00,3687.00,3687.00,3687.00,106,0\r\n2006-01-09,18:33:00,3687.00,3687.00,3684.00,3684.00,995,0\r\n2006-01-09,18:34:00,3684.00,3685.00,3684.00,3685.00,35,0\r\n2006-01-09,18:35:00,3684.00,3684.00,3684.00,3684.00,3,0\r\n2006-01-09,18:36:00,3684.00,3684.00,3684.00,3684.00,303,0\r\n2006-01-09,18:37:00,3683.00,3684.00,3683.00,3684.00,518,0\r\n2006-01-09,18:38:00,3684.00,3684.00,3684.00,3684.00,81,0\r\n2006-01-09,18:39:00,3684.00,3684.00,3684.00,3684.00,168,0\r\n2006-01-09,18:40:00,3684.00,3684.00,3684.00,3684.00,7,0\r\n2006-01-09,18:41:00,3683.00,3684.00,3683.00,3684.00,369,0\r\n2006-01-09,18:42:00,3685.00,3686.00,3685.00,3685.00,366,0\r\n2006-01-09,18:43:00,3685.00,3686.00,3685.00,3685.00,289,0\r\n2006-01-09,18:44:00,3685.00,3686.00,3685.00,3686.00,126,0\r\n2006-01-09,18:45:00,3687.00,3688.00,3686.00,3686.00,311,0\r\n2006-01-09,18:46:00,3687.00,3688.00,3686.00,3687.00,78,0\r\n2006-01-09,18:47:00,3686.00,3687.00,3685.00,3686.00,137,0\r\n2006-01-09,18:48:00,3687.00,3688.00,3686.00,3688.00,355,0\r\n2006-01-09,18:49:00,3687.00,3688.00,3686.00,3686.00,599,0\r\n2006-01-09,18:50:00,3686.00,3687.00,3686.00,3686.00,238,0\r\n2006-01-09,18:51:00,3685.00,3685.00,3684.00,3684.00,214,0\r\n2006-01-09,18:52:00,3684.00,3685.00,3684.00,3685.00,274,0\r\n2006-01-09,18:53:00,3685.00,3685.00,3684.00,3684.00,154,0\r\n2006-01-09,18:54:00,3684.00,3684.00,3684.00,3684.00,93,0\r\n2006-01-09,18:55:00,3684.00,3684.00,3684.00,3684.00,282,0\r\n2006-01-09,18:56:00,3685.00,3685.00,3684.00,3684.00,97,0\r\n2006-01-09,18:57:00,3684.00,3684.00,3683.00,3683.00,347,0\r\n2006-01-09,18:58:00,3684.00,3685.00,3684.00,3684.00,323,0\r\n2006-01-09,18:59:00,3683.00,3685.00,3683.00,3685.00,208,0\r\n2006-01-09,19:00:00,3685.00,3686.00,3685.00,3686.00,111,0\r\n2006-01-09,19:01:00,3686.00,3686.00,3685.00,3685.00,292,0\r\n2006-01-09,19:02:00,3686.00,3686.00,3685.00,3685.00,144,0\r\n2006-01-09,19:03:00,3686.00,3686.00,3685.00,3685.00,37,0\r\n2006-01-09,19:04:00,3686.00,3686.00,3685.00,3686.00,27,0\r\n2006-01-09,19:05:00,3686.00,3687.00,3686.00,3687.00,402,0\r\n2006-01-09,19:06:00,3687.00,3687.00,3686.00,3686.00,40,0\r\n2006-01-09,19:07:00,3685.00,3686.00,3685.00,3686.00,48,0\r\n2006-01-09,19:08:00,3686.00,3687.00,3685.00,3685.00,282,0\r\n2006-01-09,19:09:00,3686.00,3686.00,3685.00,3686.00,22,0\r\n2006-01-09,19:10:00,3686.00,3686.00,3686.00,3686.00,23,0\r\n2006-01-09,19:11:00,3686.00,3686.00,3685.00,3686.00,165,0\r\n2006-01-09,19:12:00,3685.00,3687.00,3685.00,3687.00,459,0\r\n2006-01-09,19:13:00,3687.00,3687.00,3685.00,3685.00,353,0\r\n2006-01-09,19:14:00,3685.00,3685.00,3684.00,3685.00,185,0\r\n2006-01-09,19:15:00,3685.00,3685.00,3684.00,3684.00,15,0\r\n2006-01-09,19:16:00,3685.00,3685.00,3683.00,3684.00,488,0\r\n2006-01-09,19:17:00,3684.00,3684.00,3683.00,3684.00,132,0\r\n2006-01-09,19:18:00,3685.00,3685.00,3685.00,3685.00,26,0\r\n2006-01-09,19:19:00,3685.00,3685.00,3684.00,3684.00,21,0\r\n2006-01-09,19:20:00,3685.00,3685.00,3685.00,3685.00,22,0\r\n2006-01-09,19:21:00,3685.00,3686.00,3685.00,3686.00,388,0\r\n2006-01-09,19:22:00,3686.00,3686.00,3685.00,3686.00,1072,0\r\n2006-01-09,19:23:00,3685.00,3686.00,3685.00,3686.00,25,0\r\n2006-01-09,19:24:00,3686.00,3687.00,3686.00,3687.00,87,0\r\n2006-01-09,19:25:00,3687.00,3687.00,3687.00,3687.00,150,0\r\n2006-01-09,19:26:00,3686.00,3686.00,3685.00,3686.00,142,0\r\n2006-01-09,19:27:00,3685.00,3685.00,3684.00,3685.00,135,0\r\n2006-01-09,19:28:00,3685.00,3685.00,3684.00,3684.00,100,0\r\n2006-01-09,19:29:00,3684.00,3685.00,3684.00,3685.00,74,0\r\n2006-01-09,19:30:00,3684.00,3685.00,3684.00,3685.00,3,0\r\n2006-01-09,19:31:00,3685.00,3685.00,3685.00,3685.00,7,0\r\n2006-01-09,19:32:00,3685.00,3686.00,3685.00,3686.00,40,0\r\n2006-01-09,19:33:00,3685.00,3686.00,3685.00,3686.00,2,0\r\n2006-01-09,19:36:00,3686.00,3686.00,3685.00,3686.00,313,0\r\n2006-01-09,19:37:00,3685.00,3685.00,3685.00,3685.00,44,0\r\n2006-01-09,19:38:00,3686.00,3689.00,3686.00,3688.00,324,0\r\n2006-01-09,19:39:00,3689.00,3689.00,3688.00,3689.00,201,0\r\n2006-01-09,19:40:00,3688.00,3690.00,3687.00,3690.00,778,0\r\n2006-01-09,19:41:00,3689.00,3689.00,3688.00,3688.00,339,0\r\n2006-01-09,19:42:00,3689.00,3689.00,3688.00,3689.00,22,0\r\n2006-01-09,19:43:00,3688.00,3688.00,3688.00,3688.00,1,0\r\n2006-01-09,19:44:00,3689.00,3689.00,3689.00,3689.00,12,0\r\n2006-01-09,19:45:00,3689.00,3689.00,3688.00,3689.00,272,0\r\n2006-01-09,19:46:00,3689.00,3689.00,3688.00,3689.00,124,0\r\n2006-01-09,19:47:00,3689.00,3690.00,3689.00,3690.00,727,0\r\n2006-01-09,19:48:00,3690.00,3690.00,3689.00,3689.00,271,0\r\n2006-01-09,19:49:00,3689.00,3689.00,3688.00,3688.00,238,0\r\n2006-01-09,19:50:00,3689.00,3690.00,3688.00,3689.00,146,0\r\n2006-01-09,19:51:00,3690.00,3690.00,3689.00,3689.00,283,0\r\n2006-01-09,19:52:00,3690.00,3691.00,3690.00,3690.00,828,0\r\n2006-01-09,19:53:00,3691.00,3691.00,3690.00,3690.00,269,0\r\n2006-01-09,19:54:00,3691.00,3692.00,3690.00,3691.00,270,0\r\n2006-01-09,19:55:00,3692.00,3692.00,3690.00,3690.00,415,0\r\n2006-01-09,19:56:00,3690.00,3692.00,3690.00,3691.00,634,0\r\n2006-01-09,19:57:00,3692.00,3692.00,3690.00,3690.00,234,0\r\n2006-01-09,19:58:00,3691.00,3692.00,3690.00,3691.00,499,0\r\n2006-01-09,19:59:00,3691.00,3692.00,3691.00,3691.00,89,0\r\n2006-01-09,20:00:00,3691.00,3691.00,3690.00,3691.00,124,0\r\n2006-01-09,20:01:00,3691.00,3691.00,3690.00,3691.00,110,0\r\n2006-01-09,20:02:00,3692.00,3692.00,3690.00,3690.00,59,0\r\n2006-01-09,20:03:00,3690.00,3690.00,3689.00,3689.00,64,0\r\n2006-01-09,20:04:00,3690.00,3690.00,3689.00,3689.00,159,0\r\n2006-01-09,20:06:00,3690.00,3690.00,3689.00,3689.00,2,0\r\n2006-01-09,20:09:00,3690.00,3690.00,3689.00,3689.00,64,0\r\n2006-01-09,20:10:00,3689.00,3689.00,3689.00,3689.00,16,0\r\n2006-01-09,20:13:00,3689.00,3689.00,3689.00,3689.00,46,0\r\n2006-01-09,20:14:00,3689.00,3689.00,3688.00,3688.00,22,0\r\n2006-01-09,20:15:00,3689.00,3691.00,3688.00,3690.00,431,0\r\n2006-01-09,20:16:00,3690.00,3690.00,3690.00,3690.00,50,0\r\n2006-01-09,20:17:00,3690.00,3690.00,3689.00,3689.00,138,0\r\n2006-01-09,20:18:00,3690.00,3690.00,3689.00,3689.00,8,0\r\n2006-01-09,20:19:00,3689.00,3690.00,3689.00,3689.00,42,0\r\n2006-01-09,20:20:00,3690.00,3690.00,3690.00,3690.00,33,0\r\n2006-01-09,20:21:00,3690.00,3690.00,3689.00,3689.00,54,0\r\n2006-01-09,20:22:00,3690.00,3690.00,3689.00,3689.00,21,0\r\n2006-01-09,20:23:00,3690.00,3690.00,3689.00,3689.00,10,0\r\n2006-01-09,20:24:00,3689.00,3690.00,3689.00,3689.00,206,0\r\n2006-01-09,20:25:00,3689.00,3690.00,3689.00,3690.00,232,0\r\n2006-01-09,20:26:00,3690.00,3690.00,3689.00,3689.00,19,0\r\n2006-01-09,20:28:00,3689.00,3689.00,3689.00,3689.00,15,0\r\n2006-01-09,20:29:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-01-09,20:30:00,3690.00,3690.00,3688.00,3688.00,64,0\r\n2006-01-09,20:31:00,3688.00,3689.00,3688.00,3689.00,39,0\r\n2006-01-09,20:32:00,3690.00,3690.00,3688.00,3688.00,263,0\r\n2006-01-09,20:33:00,3688.00,3688.00,3687.00,3688.00,148,0\r\n2006-01-09,20:34:00,3687.00,3689.00,3687.00,3689.00,50,0\r\n2006-01-09,20:35:00,3688.00,3688.00,3687.00,3687.00,140,0\r\n2006-01-09,20:36:00,3688.00,3688.00,3687.00,3687.00,26,0\r\n2006-01-09,20:37:00,3688.00,3688.00,3688.00,3688.00,96,0\r\n2006-01-09,20:38:00,3688.00,3688.00,3687.00,3688.00,135,0\r\n2006-01-09,20:39:00,3688.00,3688.00,3687.00,3688.00,121,0\r\n2006-01-09,20:40:00,3688.00,3689.00,3688.00,3688.00,217,0\r\n2006-01-09,20:41:00,3688.00,3688.00,3685.00,3685.00,504,0\r\n2006-01-09,20:42:00,3685.00,3685.00,3684.00,3684.00,466,0\r\n2006-01-09,20:43:00,3684.00,3685.00,3684.00,3685.00,290,0\r\n2006-01-09,20:44:00,3685.00,3685.00,3685.00,3685.00,28,0\r\n2006-01-09,20:45:00,3685.00,3685.00,3683.00,3684.00,227,0\r\n2006-01-09,20:46:00,3684.00,3684.00,3683.00,3683.00,663,0\r\n2006-01-09,20:47:00,3683.00,3683.00,3683.00,3683.00,202,0\r\n2006-01-09,20:48:00,3684.00,3685.00,3684.00,3685.00,71,0\r\n2006-01-09,20:49:00,3684.00,3684.00,3684.00,3684.00,170,0\r\n2006-01-09,20:50:00,3684.00,3684.00,3683.00,3683.00,106,0\r\n2006-01-09,20:51:00,3684.00,3684.00,3684.00,3684.00,38,0\r\n2006-01-09,20:52:00,3684.00,3684.00,3684.00,3684.00,252,0\r\n2006-01-09,20:53:00,3684.00,3685.00,3683.00,3684.00,217,0\r\n2006-01-09,20:54:00,3684.00,3685.00,3684.00,3685.00,252,0\r\n2006-01-09,20:55:00,3685.00,3685.00,3684.00,3685.00,102,0\r\n2006-01-09,20:56:00,3684.00,3684.00,3684.00,3684.00,55,0\r\n2006-01-09,20:58:00,3685.00,3685.00,3684.00,3685.00,36,0\r\n2006-01-09,20:59:00,3684.00,3685.00,3684.00,3685.00,5,0\r\n2006-01-09,21:01:00,3684.00,3685.00,3683.00,3683.00,16,0\r\n2006-01-09,21:04:00,3684.00,3684.00,3683.00,3683.00,67,0\r\n2006-01-09,21:05:00,3684.00,3685.00,3684.00,3685.00,13,0\r\n2006-01-09,21:08:00,3685.00,3685.00,3685.00,3685.00,50,0\r\n2006-01-09,21:09:00,3686.00,3686.00,3685.00,3686.00,10,0\r\n2006-01-09,21:10:00,3685.00,3685.00,3684.00,3684.00,14,0\r\n2006-01-09,21:11:00,3685.00,3686.00,3685.00,3686.00,105,0\r\n2006-01-09,21:13:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-09,21:14:00,3685.00,3685.00,3684.00,3684.00,12,0\r\n2006-01-09,21:15:00,3684.00,3684.00,3683.00,3683.00,23,0\r\n2006-01-09,21:16:00,3684.00,3684.00,3684.00,3684.00,1,0\r\n2006-01-09,21:17:00,3684.00,3684.00,3684.00,3684.00,1,0\r\n2006-01-09,21:19:00,3683.00,3683.00,3683.00,3683.00,1,0\r\n2006-01-09,21:20:00,3684.00,3684.00,3683.00,3683.00,8,0\r\n2006-01-09,21:21:00,3683.00,3683.00,3683.00,3683.00,207,0\r\n2006-01-09,21:22:00,3684.00,3684.00,3683.00,3683.00,45,0\r\n2006-01-09,21:23:00,3683.00,3683.00,3683.00,3683.00,121,0\r\n2006-01-09,21:25:00,3684.00,3684.00,3683.00,3684.00,119,0\r\n2006-01-09,21:26:00,3684.00,3684.00,3684.00,3684.00,14,0\r\n2006-01-09,21:29:00,3684.00,3684.00,3684.00,3684.00,7,0\r\n2006-01-09,21:30:00,3683.00,3684.00,3683.00,3684.00,158,0\r\n2006-01-09,21:31:00,3683.00,3683.00,3682.00,3683.00,23,0\r\n2006-01-09,21:32:00,3684.00,3687.00,3684.00,3687.00,133,0\r\n2006-01-09,21:33:00,3686.00,3687.00,3686.00,3687.00,57,0\r\n2006-01-09,21:34:00,3687.00,3688.00,3687.00,3687.00,20,0\r\n2006-01-09,21:35:00,3687.00,3688.00,3687.00,3687.00,172,0\r\n2006-01-09,21:36:00,3689.00,3689.00,3687.00,3688.00,42,0\r\n2006-01-09,21:37:00,3688.00,3688.00,3688.00,3688.00,96,0\r\n2006-01-09,21:38:00,3688.00,3688.00,3688.00,3688.00,1,0\r\n2006-01-09,21:39:00,3688.00,3689.00,3687.00,3689.00,64,0\r\n2006-01-09,21:40:00,3687.00,3688.00,3687.00,3688.00,39,0\r\n2006-01-09,21:41:00,3687.00,3687.00,3687.00,3687.00,3,0\r\n2006-01-09,21:42:00,3687.00,3687.00,3687.00,3687.00,110,0\r\n2006-01-09,21:44:00,3687.00,3687.00,3687.00,3687.00,53,0\r\n2006-01-09,21:45:00,3687.00,3688.00,3687.00,3687.00,55,0\r\n2006-01-09,21:46:00,3687.00,3688.00,3687.00,3687.00,40,0\r\n2006-01-09,21:47:00,3687.00,3688.00,3687.00,3687.00,27,0\r\n2006-01-09,21:48:00,3687.00,3687.00,3686.00,3687.00,89,0\r\n2006-01-09,21:49:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-09,21:50:00,3686.00,3686.00,3686.00,3686.00,48,0\r\n2006-01-09,21:51:00,3686.00,3686.00,3686.00,3686.00,55,0\r\n2006-01-09,21:52:00,3686.00,3687.00,3685.00,3686.00,103,0\r\n2006-01-09,21:53:00,3686.00,3687.00,3686.00,3687.00,8,0\r\n2006-01-09,21:55:00,3686.00,3686.00,3685.00,3685.00,63,0\r\n2006-01-09,21:56:00,3686.00,3687.00,3686.00,3687.00,57,0\r\n2006-01-09,21:57:00,3687.00,3687.00,3686.00,3686.00,169,0\r\n2006-01-09,21:58:00,3687.00,3688.00,3687.00,3688.00,120,0\r\n2006-01-09,21:59:00,3689.00,3689.00,3688.00,3689.00,132,0\r\n2006-01-09,22:00:00,3689.00,3690.00,3689.00,3689.00,487,0\r\n2006-01-10,09:01:00,3676.00,3678.00,3675.00,3676.00,8104,0\r\n2006-01-10,09:02:00,3676.00,3677.00,3672.00,3672.00,8149,0\r\n2006-01-10,09:03:00,3672.00,3674.00,3671.00,3674.00,2611,0\r\n2006-01-10,09:04:00,3674.00,3674.00,3672.00,3672.00,1801,0\r\n2006-01-10,09:05:00,3672.00,3673.00,3671.00,3672.00,1190,0\r\n2006-01-10,09:06:00,3673.00,3674.00,3672.00,3674.00,1040,0\r\n2006-01-10,09:07:00,3674.00,3675.00,3673.00,3674.00,949,0\r\n2006-01-10,09:08:00,3674.00,3674.00,3671.00,3672.00,960,0\r\n2006-01-10,09:09:00,3671.00,3674.00,3671.00,3673.00,1385,0\r\n2006-01-10,09:10:00,3673.00,3674.00,3673.00,3674.00,408,0\r\n2006-01-10,09:11:00,3674.00,3676.00,3674.00,3675.00,991,0\r\n2006-01-10,09:12:00,3674.00,3675.00,3673.00,3673.00,1487,0\r\n2006-01-10,09:13:00,3673.00,3674.00,3672.00,3674.00,524,0\r\n2006-01-10,09:14:00,3674.00,3674.00,3673.00,3673.00,267,0\r\n2006-01-10,09:15:00,3674.00,3675.00,3674.00,3675.00,847,0\r\n2006-01-10,09:16:00,3675.00,3676.00,3675.00,3676.00,499,0\r\n2006-01-10,09:17:00,3675.00,3675.00,3674.00,3674.00,537,0\r\n2006-01-10,09:18:00,3675.00,3675.00,3672.00,3673.00,1668,0\r\n2006-01-10,09:19:00,3673.00,3673.00,3672.00,3672.00,1327,0\r\n2006-01-10,09:20:00,3672.00,3672.00,3671.00,3672.00,1024,0\r\n2006-01-10,09:21:00,3672.00,3673.00,3671.00,3672.00,1053,0\r\n2006-01-10,09:22:00,3672.00,3673.00,3671.00,3672.00,226,0\r\n2006-01-10,09:23:00,3673.00,3673.00,3671.00,3672.00,592,0\r\n2006-01-10,09:24:00,3671.00,3672.00,3670.00,3670.00,4093,0\r\n2006-01-10,09:25:00,3670.00,3672.00,3670.00,3670.00,1571,0\r\n2006-01-10,09:26:00,3670.00,3670.00,3669.00,3669.00,2526,0\r\n2006-01-10,09:27:00,3670.00,3671.00,3670.00,3671.00,917,0\r\n2006-01-10,09:28:00,3670.00,3671.00,3670.00,3671.00,919,0\r\n2006-01-10,09:29:00,3672.00,3673.00,3671.00,3671.00,1000,0\r\n2006-01-10,09:30:00,3671.00,3671.00,3670.00,3671.00,992,0\r\n2006-01-10,09:31:00,3672.00,3672.00,3671.00,3671.00,245,0\r\n2006-01-10,09:32:00,3671.00,3672.00,3671.00,3672.00,907,0\r\n2006-01-10,09:33:00,3672.00,3672.00,3671.00,3671.00,527,0\r\n2006-01-10,09:34:00,3671.00,3673.00,3671.00,3673.00,387,0\r\n2006-01-10,09:35:00,3672.00,3673.00,3672.00,3673.00,913,0\r\n2006-01-10,09:36:00,3673.00,3674.00,3672.00,3674.00,946,0\r\n2006-01-10,09:37:00,3674.00,3675.00,3673.00,3674.00,345,0\r\n2006-01-10,09:38:00,3674.00,3675.00,3674.00,3675.00,278,0\r\n2006-01-10,09:39:00,3674.00,3675.00,3673.00,3674.00,671,0\r\n2006-01-10,09:40:00,3674.00,3674.00,3673.00,3673.00,559,0\r\n2006-01-10,09:41:00,3673.00,3675.00,3673.00,3675.00,427,0\r\n2006-01-10,09:42:00,3674.00,3674.00,3674.00,3674.00,358,0\r\n2006-01-10,09:43:00,3673.00,3674.00,3673.00,3674.00,267,0\r\n2006-01-10,09:44:00,3673.00,3674.00,3673.00,3673.00,423,0\r\n2006-01-10,09:45:00,3673.00,3673.00,3671.00,3671.00,378,0\r\n2006-01-10,09:46:00,3672.00,3672.00,3672.00,3672.00,42,0\r\n2006-01-10,09:47:00,3671.00,3672.00,3671.00,3671.00,108,0\r\n2006-01-10,09:48:00,3671.00,3672.00,3670.00,3670.00,504,0\r\n2006-01-10,09:49:00,3670.00,3670.00,3667.00,3667.00,5584,0\r\n2006-01-10,09:50:00,3667.00,3668.00,3663.00,3664.00,8309,0\r\n2006-01-10,09:51:00,3663.00,3664.00,3661.00,3662.00,4624,0\r\n2006-01-10,09:52:00,3662.00,3664.00,3662.00,3663.00,1954,0\r\n2006-01-10,09:53:00,3664.00,3664.00,3662.00,3663.00,1786,0\r\n2006-01-10,09:54:00,3663.00,3664.00,3662.00,3663.00,985,0\r\n2006-01-10,09:55:00,3663.00,3664.00,3662.00,3664.00,972,0\r\n2006-01-10,09:56:00,3663.00,3664.00,3663.00,3663.00,1589,0\r\n2006-01-10,09:57:00,3663.00,3665.00,3663.00,3664.00,996,0\r\n2006-01-10,09:58:00,3664.00,3665.00,3664.00,3664.00,994,0\r\n2006-01-10,09:59:00,3664.00,3665.00,3664.00,3664.00,768,0\r\n2006-01-10,10:00:00,3664.00,3664.00,3662.00,3663.00,1102,0\r\n2006-01-10,10:01:00,3663.00,3663.00,3662.00,3662.00,1428,0\r\n2006-01-10,10:02:00,3663.00,3663.00,3661.00,3661.00,2113,0\r\n2006-01-10,10:03:00,3661.00,3663.00,3660.00,3662.00,3329,0\r\n2006-01-10,10:04:00,3662.00,3663.00,3662.00,3663.00,910,0\r\n2006-01-10,10:05:00,3662.00,3663.00,3662.00,3663.00,212,0\r\n2006-01-10,10:06:00,3663.00,3664.00,3662.00,3663.00,2916,0\r\n2006-01-10,10:07:00,3662.00,3663.00,3662.00,3662.00,811,0\r\n2006-01-10,10:08:00,3663.00,3663.00,3662.00,3662.00,448,0\r\n2006-01-10,10:09:00,3663.00,3663.00,3662.00,3662.00,529,0\r\n2006-01-10,10:10:00,3662.00,3663.00,3662.00,3662.00,1418,0\r\n2006-01-10,10:11:00,3662.00,3662.00,3661.00,3662.00,206,0\r\n2006-01-10,10:12:00,3662.00,3663.00,3661.00,3662.00,1073,0\r\n2006-01-10,10:13:00,3662.00,3662.00,3657.00,3658.00,5742,0\r\n2006-01-10,10:14:00,3659.00,3660.00,3658.00,3659.00,1699,0\r\n2006-01-10,10:15:00,3660.00,3660.00,3659.00,3660.00,946,0\r\n2006-01-10,10:16:00,3660.00,3661.00,3659.00,3659.00,1393,0\r\n2006-01-10,10:17:00,3659.00,3660.00,3658.00,3658.00,968,0\r\n2006-01-10,10:18:00,3659.00,3660.00,3658.00,3660.00,483,0\r\n2006-01-10,10:19:00,3660.00,3661.00,3660.00,3661.00,378,0\r\n2006-01-10,10:20:00,3661.00,3662.00,3660.00,3660.00,1520,0\r\n2006-01-10,10:21:00,3661.00,3661.00,3660.00,3660.00,513,0\r\n2006-01-10,10:22:00,3660.00,3661.00,3659.00,3659.00,512,0\r\n2006-01-10,10:23:00,3660.00,3661.00,3659.00,3660.00,266,0\r\n2006-01-10,10:24:00,3659.00,3660.00,3658.00,3660.00,2378,0\r\n2006-01-10,10:25:00,3660.00,3660.00,3658.00,3659.00,3258,0\r\n2006-01-10,10:26:00,3659.00,3660.00,3658.00,3658.00,1035,0\r\n2006-01-10,10:27:00,3658.00,3659.00,3658.00,3659.00,796,0\r\n2006-01-10,10:28:00,3659.00,3660.00,3659.00,3659.00,556,0\r\n2006-01-10,10:29:00,3659.00,3660.00,3659.00,3660.00,1336,0\r\n2006-01-10,10:30:00,3660.00,3661.00,3660.00,3661.00,477,0\r\n2006-01-10,10:31:00,3661.00,3661.00,3660.00,3661.00,665,0\r\n2006-01-10,10:32:00,3661.00,3661.00,3659.00,3659.00,1318,0\r\n2006-01-10,10:33:00,3659.00,3659.00,3659.00,3659.00,180,0\r\n2006-01-10,10:34:00,3659.00,3660.00,3659.00,3659.00,123,0\r\n2006-01-10,10:35:00,3660.00,3660.00,3658.00,3659.00,1069,0\r\n2006-01-10,10:36:00,3659.00,3660.00,3659.00,3659.00,411,0\r\n2006-01-10,10:37:00,3660.00,3661.00,3660.00,3660.00,572,0\r\n2006-01-10,10:38:00,3661.00,3661.00,3661.00,3661.00,793,0\r\n2006-01-10,10:39:00,3661.00,3661.00,3660.00,3660.00,236,0\r\n2006-01-10,10:40:00,3660.00,3661.00,3660.00,3660.00,221,0\r\n2006-01-10,10:41:00,3661.00,3661.00,3661.00,3661.00,47,0\r\n2006-01-10,10:42:00,3661.00,3661.00,3661.00,3661.00,87,0\r\n2006-01-10,10:43:00,3661.00,3661.00,3660.00,3660.00,232,0\r\n2006-01-10,10:44:00,3661.00,3661.00,3659.00,3659.00,2350,0\r\n2006-01-10,10:45:00,3659.00,3660.00,3659.00,3660.00,48,0\r\n2006-01-10,10:46:00,3660.00,3661.00,3659.00,3660.00,67,0\r\n2006-01-10,10:47:00,3660.00,3660.00,3660.00,3660.00,82,0\r\n2006-01-10,10:48:00,3660.00,3661.00,3659.00,3660.00,220,0\r\n2006-01-10,10:49:00,3659.00,3660.00,3658.00,3658.00,297,0\r\n2006-01-10,10:50:00,3658.00,3659.00,3657.00,3658.00,1272,0\r\n2006-01-10,10:51:00,3657.00,3659.00,3657.00,3658.00,307,0\r\n2006-01-10,10:52:00,3659.00,3659.00,3659.00,3659.00,636,0\r\n2006-01-10,10:53:00,3659.00,3659.00,3658.00,3659.00,222,0\r\n2006-01-10,10:54:00,3659.00,3660.00,3659.00,3659.00,359,0\r\n2006-01-10,10:55:00,3659.00,3661.00,3659.00,3660.00,212,0\r\n2006-01-10,10:56:00,3660.00,3660.00,3659.00,3660.00,166,0\r\n2006-01-10,10:57:00,3660.00,3660.00,3659.00,3660.00,361,0\r\n2006-01-10,10:58:00,3660.00,3661.00,3659.00,3659.00,373,0\r\n2006-01-10,10:59:00,3660.00,3661.00,3660.00,3661.00,482,0\r\n2006-01-10,11:00:00,3660.00,3661.00,3660.00,3660.00,1048,0\r\n2006-01-10,11:01:00,3661.00,3663.00,3661.00,3662.00,2263,0\r\n2006-01-10,11:02:00,3662.00,3662.00,3660.00,3660.00,1282,0\r\n2006-01-10,11:03:00,3659.00,3661.00,3659.00,3660.00,994,0\r\n2006-01-10,11:04:00,3661.00,3662.00,3661.00,3661.00,670,0\r\n2006-01-10,11:05:00,3661.00,3662.00,3661.00,3661.00,268,0\r\n2006-01-10,11:06:00,3661.00,3662.00,3661.00,3661.00,505,0\r\n2006-01-10,11:07:00,3662.00,3662.00,3661.00,3661.00,78,0\r\n2006-01-10,11:08:00,3660.00,3661.00,3660.00,3660.00,41,0\r\n2006-01-10,11:09:00,3660.00,3660.00,3659.00,3659.00,716,0\r\n2006-01-10,11:10:00,3660.00,3660.00,3659.00,3659.00,373,0\r\n2006-01-10,11:11:00,3660.00,3660.00,3659.00,3659.00,420,0\r\n2006-01-10,11:12:00,3659.00,3659.00,3658.00,3658.00,308,0\r\n2006-01-10,11:13:00,3658.00,3659.00,3657.00,3657.00,640,0\r\n2006-01-10,11:14:00,3657.00,3659.00,3657.00,3658.00,604,0\r\n2006-01-10,11:15:00,3658.00,3659.00,3658.00,3659.00,864,0\r\n2006-01-10,11:16:00,3659.00,3661.00,3659.00,3660.00,729,0\r\n2006-01-10,11:17:00,3660.00,3661.00,3659.00,3660.00,507,0\r\n2006-01-10,11:18:00,3660.00,3660.00,3659.00,3659.00,604,0\r\n2006-01-10,11:19:00,3659.00,3659.00,3658.00,3659.00,16,0\r\n2006-01-10,11:20:00,3659.00,3659.00,3658.00,3659.00,555,0\r\n2006-01-10,11:21:00,3659.00,3660.00,3659.00,3659.00,829,0\r\n2006-01-10,11:22:00,3659.00,3660.00,3658.00,3658.00,779,0\r\n2006-01-10,11:23:00,3658.00,3658.00,3657.00,3657.00,287,0\r\n2006-01-10,11:24:00,3657.00,3658.00,3656.00,3656.00,1457,0\r\n2006-01-10,11:25:00,3656.00,3658.00,3656.00,3658.00,1866,0\r\n2006-01-10,11:26:00,3657.00,3658.00,3655.00,3655.00,1306,0\r\n2006-01-10,11:27:00,3656.00,3656.00,3652.00,3652.00,5674,0\r\n2006-01-10,11:28:00,3653.00,3653.00,3651.00,3652.00,4200,0\r\n2006-01-10,11:29:00,3652.00,3654.00,3652.00,3653.00,1506,0\r\n2006-01-10,11:30:00,3654.00,3654.00,3651.00,3652.00,1594,0\r\n2006-01-10,11:31:00,3651.00,3652.00,3650.00,3650.00,3820,0\r\n2006-01-10,11:32:00,3650.00,3652.00,3650.00,3651.00,1926,0\r\n2006-01-10,11:33:00,3650.00,3653.00,3650.00,3653.00,2846,0\r\n2006-01-10,11:34:00,3652.00,3654.00,3652.00,3653.00,1858,0\r\n2006-01-10,11:35:00,3653.00,3654.00,3652.00,3653.00,951,0\r\n2006-01-10,11:36:00,3653.00,3654.00,3653.00,3653.00,145,0\r\n2006-01-10,11:37:00,3653.00,3653.00,3652.00,3652.00,139,0\r\n2006-01-10,11:38:00,3652.00,3653.00,3651.00,3651.00,1105,0\r\n2006-01-10,11:39:00,3652.00,3653.00,3651.00,3653.00,711,0\r\n2006-01-10,11:40:00,3653.00,3653.00,3652.00,3652.00,445,0\r\n2006-01-10,11:41:00,3653.00,3653.00,3652.00,3653.00,429,0\r\n2006-01-10,11:42:00,3653.00,3655.00,3653.00,3654.00,1665,0\r\n2006-01-10,11:43:00,3655.00,3656.00,3654.00,3656.00,1237,0\r\n2006-01-10,11:44:00,3656.00,3656.00,3655.00,3655.00,1435,0\r\n2006-01-10,11:45:00,3655.00,3655.00,3655.00,3655.00,466,0\r\n2006-01-10,11:46:00,3655.00,3655.00,3653.00,3654.00,1531,0\r\n2006-01-10,11:47:00,3653.00,3655.00,3653.00,3655.00,951,0\r\n2006-01-10,11:48:00,3655.00,3655.00,3654.00,3655.00,175,0\r\n2006-01-10,11:49:00,3655.00,3655.00,3655.00,3655.00,221,0\r\n2006-01-10,11:50:00,3655.00,3655.00,3655.00,3655.00,125,0\r\n2006-01-10,11:51:00,3654.00,3655.00,3654.00,3654.00,734,0\r\n2006-01-10,11:52:00,3654.00,3654.00,3653.00,3654.00,325,0\r\n2006-01-10,11:53:00,3653.00,3655.00,3653.00,3654.00,964,0\r\n2006-01-10,11:54:00,3655.00,3655.00,3655.00,3655.00,153,0\r\n2006-01-10,11:55:00,3655.00,3656.00,3655.00,3656.00,2626,0\r\n2006-01-10,11:56:00,3655.00,3656.00,3654.00,3655.00,463,0\r\n2006-01-10,11:57:00,3655.00,3656.00,3654.00,3655.00,573,0\r\n2006-01-10,11:58:00,3656.00,3656.00,3655.00,3656.00,591,0\r\n2006-01-10,11:59:00,3656.00,3656.00,3655.00,3656.00,406,0\r\n2006-01-10,12:00:00,3656.00,3656.00,3656.00,3656.00,310,0\r\n2006-01-10,12:01:00,3656.00,3656.00,3654.00,3654.00,1084,0\r\n2006-01-10,12:02:00,3655.00,3655.00,3654.00,3655.00,60,0\r\n2006-01-10,12:03:00,3655.00,3655.00,3653.00,3653.00,1087,0\r\n2006-01-10,12:04:00,3653.00,3655.00,3653.00,3655.00,1086,0\r\n2006-01-10,12:05:00,3654.00,3655.00,3654.00,3654.00,140,0\r\n2006-01-10,12:06:00,3655.00,3657.00,3655.00,3657.00,1160,0\r\n2006-01-10,12:07:00,3656.00,3656.00,3655.00,3656.00,266,0\r\n2006-01-10,12:08:00,3656.00,3656.00,3656.00,3656.00,122,0\r\n2006-01-10,12:09:00,3655.00,3656.00,3655.00,3656.00,94,0\r\n2006-01-10,12:10:00,3656.00,3657.00,3656.00,3657.00,492,0\r\n2006-01-10,12:11:00,3657.00,3657.00,3656.00,3657.00,1019,0\r\n2006-01-10,12:12:00,3657.00,3657.00,3657.00,3657.00,59,0\r\n2006-01-10,12:13:00,3657.00,3657.00,3656.00,3656.00,336,0\r\n2006-01-10,12:14:00,3656.00,3656.00,3655.00,3656.00,735,0\r\n2006-01-10,12:15:00,3656.00,3656.00,3655.00,3656.00,34,0\r\n2006-01-10,12:16:00,3655.00,3656.00,3655.00,3656.00,47,0\r\n2006-01-10,12:17:00,3656.00,3656.00,3656.00,3656.00,397,0\r\n2006-01-10,12:18:00,3656.00,3657.00,3656.00,3656.00,694,0\r\n2006-01-10,12:19:00,3656.00,3657.00,3656.00,3656.00,108,0\r\n2006-01-10,12:20:00,3656.00,3657.00,3656.00,3657.00,110,0\r\n2006-01-10,12:21:00,3657.00,3657.00,3657.00,3657.00,450,0\r\n2006-01-10,12:22:00,3656.00,3656.00,3656.00,3656.00,8,0\r\n2006-01-10,12:23:00,3657.00,3657.00,3656.00,3656.00,8,0\r\n2006-01-10,12:24:00,3656.00,3657.00,3655.00,3656.00,481,0\r\n2006-01-10,12:25:00,3656.00,3656.00,3656.00,3656.00,4,0\r\n2006-01-10,12:26:00,3655.00,3655.00,3655.00,3655.00,1,0\r\n2006-01-10,12:27:00,3655.00,3656.00,3655.00,3656.00,58,0\r\n2006-01-10,12:28:00,3656.00,3656.00,3656.00,3656.00,2,0\r\n2006-01-10,12:29:00,3656.00,3656.00,3654.00,3655.00,1363,0\r\n2006-01-10,12:30:00,3654.00,3655.00,3653.00,3654.00,1799,0\r\n2006-01-10,12:31:00,3653.00,3654.00,3653.00,3653.00,1180,0\r\n2006-01-10,12:32:00,3653.00,3653.00,3652.00,3653.00,334,0\r\n2006-01-10,12:33:00,3654.00,3654.00,3653.00,3653.00,110,0\r\n2006-01-10,12:34:00,3654.00,3654.00,3654.00,3654.00,1,0\r\n2006-01-10,12:36:00,3653.00,3654.00,3653.00,3654.00,104,0\r\n2006-01-10,12:37:00,3653.00,3654.00,3653.00,3653.00,52,0\r\n2006-01-10,12:38:00,3654.00,3654.00,3653.00,3654.00,3,0\r\n2006-01-10,12:39:00,3653.00,3654.00,3653.00,3653.00,242,0\r\n2006-01-10,12:40:00,3654.00,3654.00,3653.00,3654.00,388,0\r\n2006-01-10,12:41:00,3654.00,3654.00,3654.00,3654.00,1,0\r\n2006-01-10,12:42:00,3654.00,3654.00,3653.00,3654.00,49,0\r\n2006-01-10,12:43:00,3653.00,3653.00,3653.00,3653.00,1,0\r\n2006-01-10,12:44:00,3654.00,3654.00,3654.00,3654.00,10,0\r\n2006-01-10,12:45:00,3653.00,3654.00,3653.00,3653.00,129,0\r\n2006-01-10,12:46:00,3654.00,3654.00,3653.00,3653.00,167,0\r\n2006-01-10,12:47:00,3654.00,3654.00,3653.00,3654.00,9,0\r\n2006-01-10,12:48:00,3654.00,3655.00,3654.00,3655.00,515,0\r\n2006-01-10,12:49:00,3654.00,3655.00,3654.00,3655.00,701,0\r\n2006-01-10,12:50:00,3655.00,3655.00,3653.00,3654.00,147,0\r\n2006-01-10,12:51:00,3653.00,3655.00,3653.00,3654.00,99,0\r\n2006-01-10,12:52:00,3653.00,3655.00,3653.00,3655.00,28,0\r\n2006-01-10,12:53:00,3654.00,3655.00,3654.00,3655.00,2,0\r\n2006-01-10,12:54:00,3654.00,3655.00,3654.00,3655.00,16,0\r\n2006-01-10,12:55:00,3655.00,3655.00,3654.00,3655.00,45,0\r\n2006-01-10,12:56:00,3655.00,3656.00,3655.00,3656.00,215,0\r\n2006-01-10,12:57:00,3656.00,3656.00,3655.00,3655.00,11,0\r\n2006-01-10,12:58:00,3655.00,3656.00,3655.00,3656.00,63,0\r\n2006-01-10,12:59:00,3656.00,3657.00,3656.00,3656.00,445,0\r\n2006-01-10,13:00:00,3657.00,3657.00,3655.00,3656.00,251,0\r\n2006-01-10,13:01:00,3655.00,3657.00,3655.00,3657.00,293,0\r\n2006-01-10,13:02:00,3657.00,3657.00,3657.00,3657.00,111,0\r\n2006-01-10,13:03:00,3657.00,3658.00,3657.00,3657.00,252,0\r\n2006-01-10,13:04:00,3658.00,3658.00,3657.00,3657.00,753,0\r\n2006-01-10,13:05:00,3657.00,3658.00,3657.00,3657.00,243,0\r\n2006-01-10,13:06:00,3658.00,3658.00,3657.00,3658.00,41,0\r\n2006-01-10,13:07:00,3657.00,3658.00,3657.00,3658.00,660,0\r\n2006-01-10,13:08:00,3658.00,3658.00,3658.00,3658.00,222,0\r\n2006-01-10,13:09:00,3658.00,3659.00,3657.00,3658.00,1319,0\r\n2006-01-10,13:10:00,3658.00,3659.00,3657.00,3659.00,1324,0\r\n2006-01-10,13:11:00,3659.00,3659.00,3659.00,3659.00,90,0\r\n2006-01-10,13:12:00,3659.00,3659.00,3658.00,3659.00,61,0\r\n2006-01-10,13:13:00,3659.00,3659.00,3658.00,3659.00,16,0\r\n2006-01-10,13:14:00,3659.00,3659.00,3658.00,3659.00,370,0\r\n2006-01-10,13:15:00,3659.00,3660.00,3659.00,3659.00,310,0\r\n2006-01-10,13:16:00,3659.00,3660.00,3659.00,3659.00,379,0\r\n2006-01-10,13:17:00,3659.00,3659.00,3658.00,3659.00,903,0\r\n2006-01-10,13:18:00,3659.00,3659.00,3658.00,3659.00,615,0\r\n2006-01-10,13:19:00,3658.00,3659.00,3658.00,3659.00,2,0\r\n2006-01-10,13:20:00,3658.00,3659.00,3658.00,3659.00,706,0\r\n2006-01-10,13:21:00,3658.00,3659.00,3658.00,3659.00,4,0\r\n2006-01-10,13:22:00,3659.00,3659.00,3658.00,3658.00,59,0\r\n2006-01-10,13:23:00,3659.00,3659.00,3658.00,3658.00,458,0\r\n2006-01-10,13:24:00,3658.00,3658.00,3658.00,3658.00,160,0\r\n2006-01-10,13:25:00,3658.00,3658.00,3658.00,3658.00,378,0\r\n2006-01-10,13:26:00,3657.00,3658.00,3657.00,3657.00,933,0\r\n2006-01-10,13:27:00,3657.00,3657.00,3656.00,3657.00,100,0\r\n2006-01-10,13:28:00,3657.00,3657.00,3656.00,3656.00,309,0\r\n2006-01-10,13:29:00,3657.00,3657.00,3656.00,3656.00,8,0\r\n2006-01-10,13:30:00,3657.00,3657.00,3657.00,3657.00,1,0\r\n2006-01-10,13:31:00,3657.00,3658.00,3656.00,3658.00,96,0\r\n2006-01-10,13:32:00,3657.00,3658.00,3657.00,3657.00,3,0\r\n2006-01-10,13:33:00,3658.00,3658.00,3657.00,3657.00,21,0\r\n2006-01-10,13:34:00,3657.00,3657.00,3657.00,3657.00,239,0\r\n2006-01-10,13:35:00,3657.00,3658.00,3657.00,3658.00,45,0\r\n2006-01-10,13:36:00,3657.00,3658.00,3657.00,3658.00,31,0\r\n2006-01-10,13:37:00,3657.00,3658.00,3657.00,3657.00,403,0\r\n2006-01-10,13:38:00,3658.00,3658.00,3657.00,3658.00,490,0\r\n2006-01-10,13:39:00,3658.00,3659.00,3658.00,3658.00,191,0\r\n2006-01-10,13:40:00,3659.00,3659.00,3658.00,3658.00,30,0\r\n2006-01-10,13:41:00,3658.00,3658.00,3657.00,3657.00,435,0\r\n2006-01-10,13:42:00,3657.00,3658.00,3657.00,3657.00,128,0\r\n2006-01-10,13:43:00,3658.00,3658.00,3657.00,3657.00,15,0\r\n2006-01-10,13:44:00,3658.00,3658.00,3657.00,3658.00,76,0\r\n2006-01-10,13:45:00,3658.00,3658.00,3657.00,3657.00,150,0\r\n2006-01-10,13:46:00,3658.00,3658.00,3657.00,3657.00,93,0\r\n2006-01-10,13:47:00,3657.00,3657.00,3657.00,3657.00,621,0\r\n2006-01-10,13:48:00,3657.00,3657.00,3657.00,3657.00,210,0\r\n2006-01-10,13:49:00,3657.00,3657.00,3656.00,3657.00,277,0\r\n2006-01-10,13:50:00,3658.00,3658.00,3657.00,3657.00,146,0\r\n2006-01-10,13:51:00,3657.00,3658.00,3657.00,3657.00,169,0\r\n2006-01-10,13:52:00,3657.00,3657.00,3657.00,3657.00,2,0\r\n2006-01-10,13:53:00,3658.00,3658.00,3657.00,3657.00,43,0\r\n2006-01-10,13:54:00,3657.00,3657.00,3657.00,3657.00,26,0\r\n2006-01-10,13:55:00,3658.00,3658.00,3656.00,3657.00,1026,0\r\n2006-01-10,13:56:00,3656.00,3657.00,3656.00,3656.00,219,0\r\n2006-01-10,13:57:00,3657.00,3657.00,3656.00,3656.00,73,0\r\n2006-01-10,13:58:00,3656.00,3656.00,3656.00,3656.00,14,0\r\n2006-01-10,13:59:00,3657.00,3657.00,3656.00,3656.00,9,0\r\n2006-01-10,14:00:00,3656.00,3656.00,3656.00,3656.00,1,0\r\n2006-01-10,14:01:00,3657.00,3657.00,3656.00,3657.00,1094,0\r\n2006-01-10,14:02:00,3657.00,3657.00,3656.00,3657.00,674,0\r\n2006-01-10,14:03:00,3657.00,3658.00,3657.00,3657.00,168,0\r\n2006-01-10,14:04:00,3657.00,3657.00,3656.00,3656.00,163,0\r\n2006-01-10,14:05:00,3656.00,3658.00,3656.00,3657.00,382,0\r\n2006-01-10,14:06:00,3657.00,3658.00,3657.00,3657.00,150,0\r\n2006-01-10,14:07:00,3657.00,3657.00,3656.00,3656.00,157,0\r\n2006-01-10,14:08:00,3656.00,3656.00,3655.00,3655.00,1102,0\r\n2006-01-10,14:09:00,3654.00,3655.00,3653.00,3654.00,1526,0\r\n2006-01-10,14:10:00,3654.00,3656.00,3654.00,3655.00,676,0\r\n2006-01-10,14:11:00,3654.00,3655.00,3654.00,3655.00,144,0\r\n2006-01-10,14:12:00,3655.00,3655.00,3653.00,3653.00,1163,0\r\n2006-01-10,14:13:00,3653.00,3655.00,3653.00,3655.00,385,0\r\n2006-01-10,14:14:00,3655.00,3655.00,3654.00,3654.00,615,0\r\n2006-01-10,14:15:00,3655.00,3655.00,3654.00,3655.00,68,0\r\n2006-01-10,14:16:00,3654.00,3656.00,3654.00,3655.00,508,0\r\n2006-01-10,14:17:00,3654.00,3655.00,3654.00,3654.00,599,0\r\n2006-01-10,14:18:00,3654.00,3654.00,3653.00,3654.00,21,0\r\n2006-01-10,14:19:00,3654.00,3654.00,3653.00,3653.00,34,0\r\n2006-01-10,14:20:00,3654.00,3655.00,3654.00,3654.00,387,0\r\n2006-01-10,14:21:00,3654.00,3654.00,3653.00,3654.00,730,0\r\n2006-01-10,14:22:00,3654.00,3654.00,3653.00,3653.00,131,0\r\n2006-01-10,14:23:00,3653.00,3654.00,3652.00,3653.00,598,0\r\n2006-01-10,14:24:00,3653.00,3654.00,3652.00,3652.00,190,0\r\n2006-01-10,14:25:00,3653.00,3654.00,3653.00,3654.00,446,0\r\n2006-01-10,14:26:00,3654.00,3655.00,3654.00,3655.00,233,0\r\n2006-01-10,14:27:00,3655.00,3655.00,3654.00,3655.00,30,0\r\n2006-01-10,14:28:00,3655.00,3655.00,3654.00,3655.00,21,0\r\n2006-01-10,14:29:00,3655.00,3655.00,3655.00,3655.00,105,0\r\n2006-01-10,14:30:00,3654.00,3655.00,3654.00,3655.00,240,0\r\n2006-01-10,14:31:00,3654.00,3656.00,3654.00,3656.00,177,0\r\n2006-01-10,14:32:00,3656.00,3656.00,3655.00,3656.00,32,0\r\n2006-01-10,14:33:00,3655.00,3656.00,3655.00,3656.00,510,0\r\n2006-01-10,14:34:00,3655.00,3656.00,3655.00,3656.00,48,0\r\n2006-01-10,14:35:00,3655.00,3656.00,3655.00,3656.00,52,0\r\n2006-01-10,14:36:00,3655.00,3656.00,3655.00,3656.00,187,0\r\n2006-01-10,14:37:00,3655.00,3656.00,3655.00,3656.00,70,0\r\n2006-01-10,14:38:00,3655.00,3656.00,3655.00,3655.00,322,0\r\n2006-01-10,14:39:00,3655.00,3655.00,3654.00,3654.00,145,0\r\n2006-01-10,14:40:00,3654.00,3655.00,3654.00,3654.00,853,0\r\n2006-01-10,14:41:00,3655.00,3655.00,3653.00,3654.00,349,0\r\n2006-01-10,14:42:00,3655.00,3655.00,3653.00,3654.00,518,0\r\n2006-01-10,14:43:00,3654.00,3655.00,3654.00,3655.00,187,0\r\n2006-01-10,14:44:00,3655.00,3655.00,3653.00,3654.00,712,0\r\n2006-01-10,14:45:00,3654.00,3654.00,3653.00,3653.00,2,0\r\n2006-01-10,14:46:00,3654.00,3654.00,3654.00,3654.00,1,0\r\n2006-01-10,14:47:00,3654.00,3654.00,3653.00,3653.00,59,0\r\n2006-01-10,14:48:00,3654.00,3655.00,3653.00,3655.00,191,0\r\n2006-01-10,14:49:00,3654.00,3655.00,3654.00,3654.00,62,0\r\n2006-01-10,14:50:00,3654.00,3655.00,3654.00,3654.00,224,0\r\n2006-01-10,14:51:00,3654.00,3654.00,3653.00,3654.00,316,0\r\n2006-01-10,14:52:00,3654.00,3654.00,3653.00,3654.00,119,0\r\n2006-01-10,14:53:00,3653.00,3654.00,3653.00,3654.00,7,0\r\n2006-01-10,14:54:00,3653.00,3654.00,3653.00,3654.00,323,0\r\n2006-01-10,14:55:00,3654.00,3655.00,3654.00,3654.00,159,0\r\n2006-01-10,14:56:00,3654.00,3655.00,3654.00,3654.00,39,0\r\n2006-01-10,14:57:00,3654.00,3655.00,3654.00,3655.00,170,0\r\n2006-01-10,14:58:00,3654.00,3655.00,3654.00,3654.00,109,0\r\n2006-01-10,14:59:00,3654.00,3656.00,3654.00,3655.00,430,0\r\n2006-01-10,15:00:00,3655.00,3656.00,3655.00,3655.00,69,0\r\n2006-01-10,15:01:00,3655.00,3656.00,3654.00,3654.00,610,0\r\n2006-01-10,15:02:00,3654.00,3655.00,3654.00,3655.00,156,0\r\n2006-01-10,15:03:00,3655.00,3655.00,3654.00,3654.00,33,0\r\n2006-01-10,15:04:00,3654.00,3655.00,3654.00,3654.00,97,0\r\n2006-01-10,15:05:00,3655.00,3655.00,3654.00,3654.00,188,0\r\n2006-01-10,15:06:00,3655.00,3655.00,3654.00,3654.00,261,0\r\n2006-01-10,15:07:00,3655.00,3655.00,3653.00,3655.00,423,0\r\n2006-01-10,15:08:00,3654.00,3655.00,3654.00,3654.00,38,0\r\n2006-01-10,15:09:00,3655.00,3655.00,3655.00,3655.00,14,0\r\n2006-01-10,15:10:00,3654.00,3655.00,3654.00,3654.00,1054,0\r\n2006-01-10,15:11:00,3654.00,3654.00,3652.00,3653.00,447,0\r\n2006-01-10,15:12:00,3652.00,3653.00,3651.00,3651.00,1763,0\r\n2006-01-10,15:13:00,3651.00,3652.00,3651.00,3652.00,533,0\r\n2006-01-10,15:14:00,3652.00,3652.00,3651.00,3651.00,40,0\r\n2006-01-10,15:15:00,3652.00,3652.00,3651.00,3651.00,160,0\r\n2006-01-10,15:16:00,3651.00,3653.00,3651.00,3653.00,605,0\r\n2006-01-10,15:17:00,3653.00,3654.00,3653.00,3653.00,618,0\r\n2006-01-10,15:18:00,3653.00,3654.00,3653.00,3654.00,2541,0\r\n2006-01-10,15:19:00,3654.00,3656.00,3654.00,3656.00,1845,0\r\n2006-01-10,15:20:00,3656.00,3657.00,3655.00,3657.00,1670,0\r\n2006-01-10,15:21:00,3657.00,3657.00,3656.00,3657.00,351,0\r\n2006-01-10,15:22:00,3656.00,3656.00,3655.00,3656.00,493,0\r\n2006-01-10,15:23:00,3656.00,3657.00,3656.00,3657.00,182,0\r\n2006-01-10,15:24:00,3657.00,3657.00,3656.00,3656.00,109,0\r\n2006-01-10,15:25:00,3657.00,3657.00,3656.00,3657.00,141,0\r\n2006-01-10,15:26:00,3657.00,3657.00,3656.00,3657.00,691,0\r\n2006-01-10,15:27:00,3657.00,3657.00,3656.00,3657.00,31,0\r\n2006-01-10,15:28:00,3657.00,3657.00,3656.00,3657.00,157,0\r\n2006-01-10,15:29:00,3657.00,3657.00,3656.00,3656.00,219,0\r\n2006-01-10,15:30:00,3657.00,3657.00,3656.00,3657.00,398,0\r\n2006-01-10,15:31:00,3657.00,3658.00,3655.00,3656.00,366,0\r\n2006-01-10,15:32:00,3656.00,3656.00,3655.00,3656.00,111,0\r\n2006-01-10,15:33:00,3656.00,3656.00,3655.00,3656.00,200,0\r\n2006-01-10,15:34:00,3656.00,3657.00,3655.00,3657.00,809,0\r\n2006-01-10,15:35:00,3657.00,3658.00,3657.00,3657.00,858,0\r\n2006-01-10,15:36:00,3657.00,3657.00,3656.00,3657.00,597,0\r\n2006-01-10,15:37:00,3656.00,3657.00,3656.00,3657.00,1392,0\r\n2006-01-10,15:38:00,3657.00,3658.00,3657.00,3657.00,1022,0\r\n2006-01-10,15:39:00,3657.00,3658.00,3656.00,3657.00,1153,0\r\n2006-01-10,15:40:00,3657.00,3658.00,3657.00,3658.00,657,0\r\n2006-01-10,15:41:00,3658.00,3658.00,3657.00,3658.00,949,0\r\n2006-01-10,15:42:00,3657.00,3658.00,3657.00,3658.00,61,0\r\n2006-01-10,15:43:00,3658.00,3658.00,3657.00,3658.00,764,0\r\n2006-01-10,15:44:00,3658.00,3659.00,3657.00,3658.00,414,0\r\n2006-01-10,15:45:00,3659.00,3660.00,3659.00,3660.00,1276,0\r\n2006-01-10,15:46:00,3659.00,3659.00,3658.00,3658.00,249,0\r\n2006-01-10,15:47:00,3659.00,3659.00,3657.00,3657.00,570,0\r\n2006-01-10,15:48:00,3658.00,3659.00,3658.00,3658.00,516,0\r\n2006-01-10,15:49:00,3658.00,3659.00,3658.00,3659.00,522,0\r\n2006-01-10,15:50:00,3658.00,3659.00,3658.00,3658.00,143,0\r\n2006-01-10,15:51:00,3659.00,3659.00,3657.00,3658.00,1405,0\r\n2006-01-10,15:52:00,3657.00,3657.00,3656.00,3656.00,1537,0\r\n2006-01-10,15:53:00,3657.00,3658.00,3656.00,3656.00,494,0\r\n2006-01-10,15:54:00,3657.00,3657.00,3655.00,3657.00,1705,0\r\n2006-01-10,15:55:00,3656.00,3657.00,3655.00,3656.00,1547,0\r\n2006-01-10,15:56:00,3655.00,3657.00,3655.00,3656.00,347,0\r\n2006-01-10,15:57:00,3656.00,3657.00,3655.00,3656.00,1035,0\r\n2006-01-10,15:58:00,3656.00,3657.00,3655.00,3656.00,386,0\r\n2006-01-10,15:59:00,3656.00,3657.00,3655.00,3657.00,898,0\r\n2006-01-10,16:00:00,3657.00,3658.00,3656.00,3657.00,1021,0\r\n2006-01-10,16:01:00,3657.00,3658.00,3656.00,3657.00,795,0\r\n2006-01-10,16:02:00,3657.00,3658.00,3657.00,3657.00,974,0\r\n2006-01-10,16:03:00,3657.00,3659.00,3657.00,3659.00,2236,0\r\n2006-01-10,16:04:00,3660.00,3661.00,3659.00,3660.00,1538,0\r\n2006-01-10,16:05:00,3660.00,3662.00,3660.00,3661.00,2518,0\r\n2006-01-10,16:06:00,3660.00,3661.00,3658.00,3659.00,1417,0\r\n2006-01-10,16:07:00,3659.00,3660.00,3658.00,3658.00,1364,0\r\n2006-01-10,16:08:00,3659.00,3659.00,3658.00,3659.00,620,0\r\n2006-01-10,16:09:00,3660.00,3660.00,3659.00,3659.00,552,0\r\n2006-01-10,16:10:00,3659.00,3659.00,3658.00,3659.00,1694,0\r\n2006-01-10,16:11:00,3659.00,3660.00,3659.00,3659.00,153,0\r\n2006-01-10,16:12:00,3660.00,3660.00,3660.00,3660.00,721,0\r\n2006-01-10,16:13:00,3660.00,3661.00,3659.00,3660.00,1108,0\r\n2006-01-10,16:14:00,3661.00,3661.00,3660.00,3661.00,188,0\r\n2006-01-10,16:15:00,3661.00,3662.00,3661.00,3661.00,1884,0\r\n2006-01-10,16:16:00,3660.00,3662.00,3660.00,3661.00,477,0\r\n2006-01-10,16:17:00,3662.00,3662.00,3661.00,3662.00,1352,0\r\n2006-01-10,16:18:00,3662.00,3664.00,3662.00,3663.00,1832,0\r\n2006-01-10,16:19:00,3663.00,3663.00,3661.00,3663.00,2524,0\r\n2006-01-10,16:20:00,3663.00,3663.00,3660.00,3660.00,932,0\r\n2006-01-10,16:21:00,3660.00,3662.00,3660.00,3661.00,888,0\r\n2006-01-10,16:22:00,3661.00,3663.00,3661.00,3662.00,1479,0\r\n2006-01-10,16:23:00,3662.00,3663.00,3662.00,3663.00,433,0\r\n2006-01-10,16:24:00,3662.00,3663.00,3662.00,3662.00,138,0\r\n2006-01-10,16:25:00,3663.00,3664.00,3662.00,3664.00,1234,0\r\n2006-01-10,16:26:00,3664.00,3665.00,3663.00,3663.00,1964,0\r\n2006-01-10,16:27:00,3663.00,3663.00,3662.00,3663.00,884,0\r\n2006-01-10,16:28:00,3663.00,3664.00,3663.00,3664.00,631,0\r\n2006-01-10,16:29:00,3663.00,3663.00,3661.00,3662.00,1241,0\r\n2006-01-10,16:30:00,3662.00,3663.00,3662.00,3662.00,935,0\r\n2006-01-10,16:31:00,3663.00,3663.00,3662.00,3663.00,521,0\r\n2006-01-10,16:32:00,3662.00,3663.00,3662.00,3662.00,460,0\r\n2006-01-10,16:33:00,3663.00,3663.00,3662.00,3662.00,1204,0\r\n2006-01-10,16:34:00,3662.00,3664.00,3662.00,3664.00,973,0\r\n2006-01-10,16:35:00,3663.00,3663.00,3662.00,3662.00,415,0\r\n2006-01-10,16:36:00,3663.00,3664.00,3663.00,3664.00,1825,0\r\n2006-01-10,16:37:00,3664.00,3664.00,3663.00,3663.00,1231,0\r\n2006-01-10,16:38:00,3663.00,3664.00,3663.00,3664.00,1694,0\r\n2006-01-10,16:39:00,3664.00,3664.00,3663.00,3664.00,1906,0\r\n2006-01-10,16:40:00,3663.00,3666.00,3663.00,3666.00,3650,0\r\n2006-01-10,16:41:00,3666.00,3666.00,3665.00,3665.00,3867,0\r\n2006-01-10,16:42:00,3664.00,3665.00,3664.00,3664.00,685,0\r\n2006-01-10,16:43:00,3665.00,3666.00,3665.00,3666.00,387,0\r\n2006-01-10,16:44:00,3666.00,3666.00,3664.00,3665.00,483,0\r\n2006-01-10,16:45:00,3665.00,3665.00,3663.00,3663.00,1738,0\r\n2006-01-10,16:46:00,3663.00,3663.00,3662.00,3663.00,2294,0\r\n2006-01-10,16:47:00,3662.00,3663.00,3662.00,3663.00,1321,0\r\n2006-01-10,16:48:00,3663.00,3663.00,3662.00,3662.00,211,0\r\n2006-01-10,16:49:00,3663.00,3663.00,3662.00,3663.00,1815,0\r\n2006-01-10,16:50:00,3663.00,3663.00,3662.00,3662.00,694,0\r\n2006-01-10,16:51:00,3662.00,3664.00,3662.00,3664.00,1456,0\r\n2006-01-10,16:52:00,3663.00,3664.00,3663.00,3663.00,1358,0\r\n2006-01-10,16:53:00,3664.00,3664.00,3663.00,3663.00,164,0\r\n2006-01-10,16:54:00,3663.00,3664.00,3662.00,3662.00,928,0\r\n2006-01-10,16:55:00,3663.00,3663.00,3662.00,3662.00,321,0\r\n2006-01-10,16:56:00,3663.00,3664.00,3662.00,3663.00,899,0\r\n2006-01-10,16:57:00,3663.00,3664.00,3663.00,3664.00,1203,0\r\n2006-01-10,16:58:00,3665.00,3665.00,3663.00,3664.00,1141,0\r\n2006-01-10,16:59:00,3664.00,3664.00,3663.00,3663.00,124,0\r\n2006-01-10,17:00:00,3664.00,3664.00,3662.00,3663.00,1284,0\r\n2006-01-10,17:01:00,3664.00,3664.00,3663.00,3663.00,1734,0\r\n2006-01-10,17:02:00,3664.00,3664.00,3662.00,3663.00,2149,0\r\n2006-01-10,17:03:00,3662.00,3663.00,3662.00,3662.00,87,0\r\n2006-01-10,17:04:00,3662.00,3663.00,3661.00,3661.00,844,0\r\n2006-01-10,17:05:00,3661.00,3662.00,3660.00,3661.00,2709,0\r\n2006-01-10,17:06:00,3660.00,3661.00,3660.00,3661.00,877,0\r\n2006-01-10,17:07:00,3661.00,3661.00,3659.00,3660.00,2204,0\r\n2006-01-10,17:08:00,3659.00,3660.00,3658.00,3658.00,1887,0\r\n2006-01-10,17:09:00,3659.00,3659.00,3657.00,3658.00,2092,0\r\n2006-01-10,17:10:00,3658.00,3659.00,3657.00,3658.00,396,0\r\n2006-01-10,17:11:00,3659.00,3659.00,3658.00,3659.00,719,0\r\n2006-01-10,17:12:00,3660.00,3660.00,3658.00,3658.00,888,0\r\n2006-01-10,17:13:00,3659.00,3659.00,3658.00,3659.00,391,0\r\n2006-01-10,17:14:00,3659.00,3659.00,3658.00,3658.00,264,0\r\n2006-01-10,17:15:00,3659.00,3659.00,3658.00,3659.00,659,0\r\n2006-01-10,17:16:00,3659.00,3659.00,3658.00,3658.00,1447,0\r\n2006-01-10,17:17:00,3659.00,3659.00,3658.00,3659.00,31,0\r\n2006-01-10,17:18:00,3659.00,3659.00,3658.00,3658.00,1072,0\r\n2006-01-10,17:19:00,3659.00,3660.00,3659.00,3659.00,823,0\r\n2006-01-10,17:20:00,3659.00,3659.00,3658.00,3659.00,1166,0\r\n2006-01-10,17:21:00,3660.00,3660.00,3659.00,3659.00,584,0\r\n2006-01-10,17:22:00,3659.00,3660.00,3659.00,3660.00,201,0\r\n2006-01-10,17:23:00,3660.00,3661.00,3659.00,3659.00,2729,0\r\n2006-01-10,17:24:00,3660.00,3660.00,3659.00,3660.00,1193,0\r\n2006-01-10,17:25:00,3660.00,3661.00,3659.00,3660.00,4181,0\r\n2006-01-10,17:26:00,3660.00,3660.00,3659.00,3660.00,450,0\r\n2006-01-10,17:27:00,3659.00,3659.00,3658.00,3658.00,791,0\r\n2006-01-10,17:28:00,3659.00,3660.00,3658.00,3660.00,1202,0\r\n2006-01-10,17:29:00,3660.00,3660.00,3659.00,3659.00,1531,0\r\n2006-01-10,17:30:00,3659.00,3660.00,3656.00,3657.00,6535,0\r\n2006-01-10,17:31:00,3658.00,3658.00,3656.00,3657.00,5065,0\r\n2006-01-10,17:32:00,3657.00,3658.00,3656.00,3657.00,2809,0\r\n2006-01-10,17:33:00,3657.00,3657.00,3656.00,3657.00,1475,0\r\n2006-01-10,17:34:00,3657.00,3657.00,3656.00,3656.00,885,0\r\n2006-01-10,17:35:00,3656.00,3656.00,3655.00,3656.00,792,0\r\n2006-01-10,17:36:00,3656.00,3657.00,3656.00,3657.00,2518,0\r\n2006-01-10,17:37:00,3658.00,3659.00,3657.00,3658.00,1795,0\r\n2006-01-10,17:38:00,3658.00,3658.00,3657.00,3657.00,374,0\r\n2006-01-10,17:39:00,3658.00,3659.00,3657.00,3658.00,1578,0\r\n2006-01-10,17:40:00,3658.00,3659.00,3657.00,3659.00,1708,0\r\n2006-01-10,17:41:00,3658.00,3660.00,3658.00,3659.00,1270,0\r\n2006-01-10,17:42:00,3660.00,3661.00,3659.00,3661.00,868,0\r\n2006-01-10,17:43:00,3661.00,3662.00,3661.00,3662.00,1946,0\r\n2006-01-10,17:44:00,3662.00,3663.00,3662.00,3663.00,1380,0\r\n2006-01-10,17:45:00,3662.00,3663.00,3662.00,3662.00,937,0\r\n2006-01-10,17:46:00,3662.00,3663.00,3662.00,3663.00,338,0\r\n2006-01-10,17:47:00,3662.00,3663.00,3662.00,3662.00,1039,0\r\n2006-01-10,17:48:00,3662.00,3663.00,3662.00,3663.00,984,0\r\n2006-01-10,17:49:00,3663.00,3664.00,3663.00,3663.00,300,0\r\n2006-01-10,17:50:00,3663.00,3664.00,3662.00,3664.00,1515,0\r\n2006-01-10,17:51:00,3663.00,3663.00,3663.00,3663.00,65,0\r\n2006-01-10,17:52:00,3663.00,3664.00,3663.00,3663.00,1225,0\r\n2006-01-10,17:53:00,3663.00,3663.00,3662.00,3663.00,283,0\r\n2006-01-10,17:54:00,3663.00,3663.00,3663.00,3663.00,233,0\r\n2006-01-10,17:55:00,3662.00,3663.00,3662.00,3663.00,1234,0\r\n2006-01-10,17:56:00,3662.00,3663.00,3662.00,3663.00,108,0\r\n2006-01-10,17:57:00,3662.00,3663.00,3662.00,3663.00,9,0\r\n2006-01-10,17:58:00,3663.00,3663.00,3662.00,3662.00,4,0\r\n2006-01-10,17:59:00,3662.00,3663.00,3662.00,3662.00,1027,0\r\n2006-01-10,18:00:00,3662.00,3663.00,3662.00,3663.00,251,0\r\n2006-01-10,18:01:00,3663.00,3663.00,3663.00,3663.00,41,0\r\n2006-01-10,18:02:00,3663.00,3664.00,3663.00,3664.00,216,0\r\n2006-01-10,18:03:00,3664.00,3665.00,3663.00,3664.00,1298,0\r\n2006-01-10,18:04:00,3664.00,3664.00,3664.00,3664.00,615,0\r\n2006-01-10,18:05:00,3665.00,3666.00,3664.00,3666.00,1385,0\r\n2006-01-10,18:06:00,3666.00,3668.00,3666.00,3667.00,3749,0\r\n2006-01-10,18:07:00,3667.00,3667.00,3666.00,3667.00,705,0\r\n2006-01-10,18:08:00,3667.00,3667.00,3666.00,3666.00,413,0\r\n2006-01-10,18:09:00,3667.00,3667.00,3666.00,3666.00,347,0\r\n2006-01-10,18:10:00,3666.00,3667.00,3666.00,3666.00,144,0\r\n2006-01-10,18:11:00,3666.00,3666.00,3666.00,3666.00,83,0\r\n2006-01-10,18:12:00,3666.00,3666.00,3665.00,3665.00,540,0\r\n2006-01-10,18:13:00,3665.00,3666.00,3665.00,3666.00,241,0\r\n2006-01-10,18:14:00,3665.00,3665.00,3664.00,3665.00,535,0\r\n2006-01-10,18:15:00,3664.00,3665.00,3664.00,3665.00,124,0\r\n2006-01-10,18:16:00,3664.00,3665.00,3664.00,3665.00,111,0\r\n2006-01-10,18:17:00,3665.00,3668.00,3665.00,3668.00,1150,0\r\n2006-01-10,18:18:00,3668.00,3668.00,3667.00,3668.00,729,0\r\n2006-01-10,18:19:00,3669.00,3669.00,3668.00,3669.00,513,0\r\n2006-01-10,18:20:00,3668.00,3668.00,3667.00,3667.00,357,0\r\n2006-01-10,18:21:00,3667.00,3668.00,3667.00,3668.00,296,0\r\n2006-01-10,18:22:00,3667.00,3667.00,3667.00,3667.00,44,0\r\n2006-01-10,18:23:00,3667.00,3667.00,3667.00,3667.00,260,0\r\n2006-01-10,18:24:00,3666.00,3666.00,3666.00,3666.00,515,0\r\n2006-01-10,18:25:00,3666.00,3666.00,3664.00,3665.00,205,0\r\n2006-01-10,18:26:00,3665.00,3665.00,3664.00,3665.00,309,0\r\n2006-01-10,18:27:00,3665.00,3665.00,3664.00,3664.00,304,0\r\n2006-01-10,18:28:00,3664.00,3665.00,3663.00,3664.00,136,0\r\n2006-01-10,18:29:00,3665.00,3665.00,3665.00,3665.00,100,0\r\n2006-01-10,18:30:00,3665.00,3665.00,3664.00,3664.00,415,0\r\n2006-01-10,18:31:00,3665.00,3665.00,3664.00,3664.00,154,0\r\n2006-01-10,18:32:00,3664.00,3664.00,3664.00,3664.00,96,0\r\n2006-01-10,18:33:00,3664.00,3664.00,3663.00,3663.00,138,0\r\n2006-01-10,18:34:00,3663.00,3663.00,3662.00,3662.00,60,0\r\n2006-01-10,18:35:00,3663.00,3663.00,3663.00,3663.00,9,0\r\n2006-01-10,18:36:00,3663.00,3663.00,3663.00,3663.00,112,0\r\n2006-01-10,18:37:00,3663.00,3663.00,3662.00,3662.00,162,0\r\n2006-01-10,18:38:00,3663.00,3664.00,3663.00,3663.00,383,0\r\n2006-01-10,18:39:00,3663.00,3664.00,3663.00,3664.00,5,0\r\n2006-01-10,18:40:00,3664.00,3664.00,3664.00,3664.00,12,0\r\n2006-01-10,18:41:00,3663.00,3663.00,3662.00,3663.00,338,0\r\n2006-01-10,18:42:00,3664.00,3664.00,3663.00,3663.00,216,0\r\n2006-01-10,18:43:00,3663.00,3663.00,3662.00,3662.00,117,0\r\n2006-01-10,18:44:00,3662.00,3663.00,3662.00,3663.00,49,0\r\n2006-01-10,18:45:00,3663.00,3663.00,3663.00,3663.00,287,0\r\n2006-01-10,18:46:00,3663.00,3663.00,3662.00,3662.00,259,0\r\n2006-01-10,18:47:00,3662.00,3662.00,3661.00,3662.00,130,0\r\n2006-01-10,18:48:00,3661.00,3661.00,3661.00,3661.00,309,0\r\n2006-01-10,18:49:00,3661.00,3661.00,3660.00,3660.00,532,0\r\n2006-01-10,18:50:00,3660.00,3661.00,3660.00,3661.00,116,0\r\n2006-01-10,18:51:00,3662.00,3662.00,3661.00,3661.00,217,0\r\n2006-01-10,18:52:00,3662.00,3662.00,3662.00,3662.00,51,0\r\n2006-01-10,18:53:00,3663.00,3663.00,3662.00,3662.00,137,0\r\n2006-01-10,18:54:00,3662.00,3662.00,3661.00,3662.00,681,0\r\n2006-01-10,18:55:00,3661.00,3661.00,3661.00,3661.00,33,0\r\n2006-01-10,18:56:00,3662.00,3662.00,3661.00,3661.00,40,0\r\n2006-01-10,18:57:00,3661.00,3661.00,3661.00,3661.00,46,0\r\n2006-01-10,18:58:00,3660.00,3661.00,3660.00,3661.00,5,0\r\n2006-01-10,18:59:00,3661.00,3662.00,3661.00,3661.00,102,0\r\n2006-01-10,19:00:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-10,19:01:00,3662.00,3662.00,3662.00,3662.00,19,0\r\n2006-01-10,19:02:00,3663.00,3663.00,3662.00,3662.00,241,0\r\n2006-01-10,19:03:00,3662.00,3662.00,3662.00,3662.00,145,0\r\n2006-01-10,19:04:00,3662.00,3664.00,3662.00,3662.00,596,0\r\n2006-01-10,19:05:00,3662.00,3662.00,3662.00,3662.00,84,0\r\n2006-01-10,19:06:00,3662.00,3663.00,3662.00,3663.00,47,0\r\n2006-01-10,19:07:00,3663.00,3663.00,3663.00,3663.00,20,0\r\n2006-01-10,19:08:00,3662.00,3662.00,3662.00,3662.00,50,0\r\n2006-01-10,19:09:00,3662.00,3662.00,3662.00,3662.00,30,0\r\n2006-01-10,19:10:00,3663.00,3664.00,3663.00,3663.00,26,0\r\n2006-01-10,19:11:00,3664.00,3664.00,3663.00,3663.00,145,0\r\n2006-01-10,19:12:00,3663.00,3664.00,3663.00,3664.00,121,0\r\n2006-01-10,19:13:00,3665.00,3666.00,3665.00,3666.00,660,0\r\n2006-01-10,19:14:00,3666.00,3667.00,3666.00,3666.00,73,0\r\n2006-01-10,19:15:00,3666.00,3666.00,3666.00,3666.00,13,0\r\n2006-01-10,19:16:00,3666.00,3666.00,3666.00,3666.00,37,0\r\n2006-01-10,19:17:00,3666.00,3667.00,3666.00,3667.00,121,0\r\n2006-01-10,19:18:00,3667.00,3667.00,3667.00,3667.00,78,0\r\n2006-01-10,19:19:00,3667.00,3668.00,3666.00,3666.00,362,0\r\n2006-01-10,19:20:00,3666.00,3668.00,3666.00,3667.00,136,0\r\n2006-01-10,19:21:00,3667.00,3669.00,3667.00,3669.00,388,0\r\n2006-01-10,19:22:00,3669.00,3670.00,3669.00,3669.00,373,0\r\n2006-01-10,19:23:00,3670.00,3671.00,3670.00,3671.00,627,0\r\n2006-01-10,19:24:00,3671.00,3672.00,3670.00,3672.00,812,0\r\n2006-01-10,19:25:00,3672.00,3672.00,3671.00,3671.00,340,0\r\n2006-01-10,19:26:00,3672.00,3674.00,3672.00,3674.00,1398,0\r\n2006-01-10,19:27:00,3674.00,3675.00,3674.00,3674.00,938,0\r\n2006-01-10,19:28:00,3673.00,3674.00,3673.00,3674.00,193,0\r\n2006-01-10,19:29:00,3673.00,3673.00,3673.00,3673.00,172,0\r\n2006-01-10,19:30:00,3673.00,3673.00,3672.00,3672.00,6,0\r\n2006-01-10,19:31:00,3673.00,3674.00,3672.00,3673.00,443,0\r\n2006-01-10,19:32:00,3673.00,3674.00,3673.00,3673.00,65,0\r\n2006-01-10,19:33:00,3673.00,3674.00,3673.00,3673.00,68,0\r\n2006-01-10,19:34:00,3673.00,3673.00,3671.00,3671.00,387,0\r\n2006-01-10,19:35:00,3672.00,3672.00,3671.00,3671.00,99,0\r\n2006-01-10,19:36:00,3672.00,3672.00,3671.00,3671.00,151,0\r\n2006-01-10,19:37:00,3670.00,3670.00,3669.00,3670.00,533,0\r\n2006-01-10,19:38:00,3670.00,3670.00,3670.00,3670.00,11,0\r\n2006-01-10,19:39:00,3670.00,3670.00,3669.00,3669.00,5,0\r\n2006-01-10,19:40:00,3670.00,3670.00,3669.00,3669.00,105,0\r\n2006-01-10,19:41:00,3669.00,3669.00,3669.00,3669.00,34,0\r\n2006-01-10,19:42:00,3670.00,3670.00,3669.00,3670.00,86,0\r\n2006-01-10,19:43:00,3669.00,3669.00,3669.00,3669.00,10,0\r\n2006-01-10,19:44:00,3669.00,3670.00,3669.00,3669.00,32,0\r\n2006-01-10,19:45:00,3670.00,3670.00,3670.00,3670.00,22,0\r\n2006-01-10,19:46:00,3670.00,3670.00,3669.00,3670.00,116,0\r\n2006-01-10,19:47:00,3670.00,3670.00,3669.00,3669.00,112,0\r\n2006-01-10,19:48:00,3668.00,3669.00,3668.00,3669.00,113,0\r\n2006-01-10,19:49:00,3668.00,3669.00,3668.00,3669.00,257,0\r\n2006-01-10,19:51:00,3668.00,3670.00,3668.00,3670.00,115,0\r\n2006-01-10,19:52:00,3669.00,3670.00,3669.00,3670.00,189,0\r\n2006-01-10,19:53:00,3670.00,3671.00,3670.00,3671.00,9,0\r\n2006-01-10,19:54:00,3671.00,3671.00,3670.00,3670.00,150,0\r\n2006-01-10,19:55:00,3670.00,3670.00,3669.00,3669.00,96,0\r\n2006-01-10,19:56:00,3668.00,3669.00,3668.00,3668.00,364,0\r\n2006-01-10,19:57:00,3668.00,3668.00,3666.00,3666.00,425,0\r\n2006-01-10,19:58:00,3666.00,3667.00,3666.00,3667.00,65,0\r\n2006-01-10,19:59:00,3667.00,3667.00,3666.00,3667.00,193,0\r\n2006-01-10,20:00:00,3667.00,3668.00,3666.00,3667.00,65,0\r\n2006-01-10,20:01:00,3666.00,3666.00,3665.00,3665.00,395,0\r\n2006-01-10,20:02:00,3666.00,3667.00,3666.00,3666.00,1003,0\r\n2006-01-10,20:03:00,3666.00,3666.00,3664.00,3664.00,301,0\r\n2006-01-10,20:04:00,3664.00,3665.00,3664.00,3664.00,329,0\r\n2006-01-10,20:05:00,3664.00,3665.00,3664.00,3665.00,232,0\r\n2006-01-10,20:06:00,3665.00,3665.00,3664.00,3664.00,281,0\r\n2006-01-10,20:07:00,3664.00,3665.00,3664.00,3665.00,157,0\r\n2006-01-10,20:09:00,3666.00,3666.00,3665.00,3665.00,88,0\r\n2006-01-10,20:10:00,3665.00,3665.00,3665.00,3665.00,204,0\r\n2006-01-10,20:11:00,3666.00,3666.00,3666.00,3666.00,11,0\r\n2006-01-10,20:12:00,3665.00,3666.00,3665.00,3665.00,20,0\r\n2006-01-10,20:13:00,3665.00,3665.00,3665.00,3665.00,27,0\r\n2006-01-10,20:14:00,3664.00,3665.00,3663.00,3664.00,21,0\r\n2006-01-10,20:15:00,3664.00,3665.00,3664.00,3665.00,87,0\r\n2006-01-10,20:16:00,3665.00,3665.00,3665.00,3665.00,11,0\r\n2006-01-10,20:17:00,3664.00,3664.00,3664.00,3664.00,48,0\r\n2006-01-10,20:18:00,3664.00,3664.00,3664.00,3664.00,105,0\r\n2006-01-10,20:19:00,3665.00,3665.00,3665.00,3665.00,23,0\r\n2006-01-10,20:20:00,3665.00,3665.00,3665.00,3665.00,18,0\r\n2006-01-10,20:21:00,3666.00,3666.00,3666.00,3666.00,54,0\r\n2006-01-10,20:22:00,3667.00,3667.00,3667.00,3667.00,13,0\r\n2006-01-10,20:23:00,3666.00,3666.00,3666.00,3666.00,5,0\r\n2006-01-10,20:24:00,3667.00,3667.00,3667.00,3667.00,48,0\r\n2006-01-10,20:25:00,3667.00,3667.00,3667.00,3667.00,20,0\r\n2006-01-10,20:26:00,3666.00,3666.00,3666.00,3666.00,103,0\r\n2006-01-10,20:27:00,3665.00,3665.00,3665.00,3665.00,42,0\r\n2006-01-10,20:28:00,3664.00,3665.00,3664.00,3665.00,43,0\r\n2006-01-10,20:29:00,3665.00,3665.00,3665.00,3665.00,32,0\r\n2006-01-10,20:30:00,3665.00,3665.00,3664.00,3664.00,54,0\r\n2006-01-10,20:31:00,3664.00,3664.00,3664.00,3664.00,46,0\r\n2006-01-10,20:32:00,3664.00,3664.00,3663.00,3663.00,107,0\r\n2006-01-10,20:33:00,3664.00,3664.00,3664.00,3664.00,19,0\r\n2006-01-10,20:34:00,3664.00,3665.00,3664.00,3665.00,43,0\r\n2006-01-10,20:35:00,3665.00,3665.00,3665.00,3665.00,13,0\r\n2006-01-10,20:36:00,3664.00,3664.00,3664.00,3664.00,10,0\r\n2006-01-10,20:38:00,3664.00,3664.00,3664.00,3664.00,35,0\r\n2006-01-10,20:39:00,3664.00,3664.00,3663.00,3663.00,39,0\r\n2006-01-10,20:40:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-10,20:41:00,3664.00,3665.00,3664.00,3665.00,15,0\r\n2006-01-10,20:42:00,3665.00,3665.00,3665.00,3665.00,35,0\r\n2006-01-10,20:43:00,3665.00,3665.00,3664.00,3664.00,35,0\r\n2006-01-10,20:44:00,3665.00,3665.00,3665.00,3665.00,2,0\r\n2006-01-10,20:46:00,3664.00,3664.00,3663.00,3663.00,348,0\r\n2006-01-10,20:48:00,3663.00,3663.00,3663.00,3663.00,175,0\r\n2006-01-10,20:49:00,3664.00,3664.00,3664.00,3664.00,145,0\r\n2006-01-10,20:50:00,3664.00,3665.00,3664.00,3665.00,123,0\r\n2006-01-10,20:51:00,3664.00,3664.00,3663.00,3663.00,55,0\r\n2006-01-10,20:52:00,3663.00,3663.00,3663.00,3663.00,25,0\r\n2006-01-10,20:53:00,3663.00,3663.00,3663.00,3663.00,158,0\r\n2006-01-10,20:54:00,3663.00,3663.00,3663.00,3663.00,125,0\r\n2006-01-10,20:56:00,3663.00,3664.00,3663.00,3664.00,97,0\r\n2006-01-10,20:57:00,3663.00,3664.00,3663.00,3664.00,164,0\r\n2006-01-10,20:58:00,3664.00,3664.00,3664.00,3664.00,29,0\r\n2006-01-10,20:59:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-10,21:00:00,3663.00,3663.00,3663.00,3663.00,24,0\r\n2006-01-10,21:01:00,3663.00,3664.00,3663.00,3664.00,83,0\r\n2006-01-10,21:04:00,3664.00,3664.00,3663.00,3664.00,39,0\r\n2006-01-10,21:05:00,3663.00,3664.00,3663.00,3664.00,27,0\r\n2006-01-10,21:07:00,3664.00,3664.00,3664.00,3664.00,12,0\r\n2006-01-10,21:09:00,3663.00,3663.00,3663.00,3663.00,16,0\r\n2006-01-10,21:10:00,3664.00,3664.00,3664.00,3664.00,1,0\r\n2006-01-10,21:11:00,3663.00,3663.00,3663.00,3663.00,25,0\r\n2006-01-10,21:12:00,3663.00,3663.00,3663.00,3663.00,7,0\r\n2006-01-10,21:14:00,3664.00,3665.00,3664.00,3665.00,23,0\r\n2006-01-10,21:15:00,3665.00,3665.00,3664.00,3664.00,96,0\r\n2006-01-10,21:16:00,3664.00,3664.00,3664.00,3664.00,30,0\r\n2006-01-10,21:17:00,3664.00,3664.00,3664.00,3664.00,6,0\r\n2006-01-10,21:18:00,3664.00,3664.00,3664.00,3664.00,3,0\r\n2006-01-10,21:19:00,3664.00,3664.00,3664.00,3664.00,2,0\r\n2006-01-10,21:20:00,3665.00,3665.00,3665.00,3665.00,8,0\r\n2006-01-10,21:21:00,3664.00,3665.00,3664.00,3664.00,17,0\r\n2006-01-10,21:23:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-10,21:25:00,3666.00,3667.00,3666.00,3666.00,68,0\r\n2006-01-10,21:26:00,3666.00,3666.00,3666.00,3666.00,19,0\r\n2006-01-10,21:28:00,3666.00,3666.00,3666.00,3666.00,5,0\r\n2006-01-10,21:29:00,3666.00,3666.00,3666.00,3666.00,25,0\r\n2006-01-10,21:30:00,3666.00,3666.00,3666.00,3666.00,1,0\r\n2006-01-10,21:31:00,3667.00,3668.00,3667.00,3668.00,94,0\r\n2006-01-10,21:32:00,3667.00,3667.00,3666.00,3667.00,14,0\r\n2006-01-10,21:33:00,3667.00,3667.00,3667.00,3667.00,6,0\r\n2006-01-10,21:34:00,3667.00,3667.00,3666.00,3666.00,6,0\r\n2006-01-10,21:35:00,3667.00,3667.00,3667.00,3667.00,1,0\r\n2006-01-10,21:36:00,3667.00,3667.00,3667.00,3667.00,6,0\r\n2006-01-10,21:38:00,3667.00,3667.00,3667.00,3667.00,5,0\r\n2006-01-10,21:39:00,3667.00,3667.00,3667.00,3667.00,26,0\r\n2006-01-10,21:41:00,3668.00,3668.00,3667.00,3667.00,29,0\r\n2006-01-10,21:42:00,3668.00,3669.00,3668.00,3669.00,100,0\r\n2006-01-10,21:43:00,3668.00,3669.00,3668.00,3669.00,129,0\r\n2006-01-10,21:44:00,3669.00,3669.00,3669.00,3669.00,1,0\r\n2006-01-10,21:46:00,3670.00,3671.00,3670.00,3670.00,81,0\r\n2006-01-10,21:47:00,3670.00,3670.00,3670.00,3670.00,11,0\r\n2006-01-10,21:48:00,3671.00,3671.00,3670.00,3671.00,263,0\r\n2006-01-10,21:49:00,3672.00,3672.00,3672.00,3672.00,1,0\r\n2006-01-10,21:50:00,3672.00,3672.00,3672.00,3672.00,4,0\r\n2006-01-10,21:51:00,3671.00,3671.00,3670.00,3670.00,72,0\r\n2006-01-10,21:52:00,3671.00,3671.00,3671.00,3671.00,55,0\r\n2006-01-10,21:53:00,3672.00,3672.00,3672.00,3672.00,14,0\r\n2006-01-10,21:54:00,3672.00,3672.00,3672.00,3672.00,70,0\r\n2006-01-10,21:55:00,3672.00,3672.00,3672.00,3672.00,15,0\r\n2006-01-10,21:56:00,3672.00,3672.00,3672.00,3672.00,15,0\r\n2006-01-10,21:57:00,3672.00,3672.00,3672.00,3672.00,25,0\r\n2006-01-10,21:58:00,3672.00,3672.00,3671.00,3671.00,14,0\r\n2006-01-10,21:59:00,3672.00,3673.00,3671.00,3672.00,629,0\r\n2006-01-10,22:00:00,3672.00,3672.00,3670.00,3671.00,679,0\r\n2006-01-11,09:01:00,3682.00,3684.00,3678.00,3678.00,9566,0\r\n2006-01-11,09:02:00,3679.00,3681.00,3678.00,3680.00,2819,0\r\n2006-01-11,09:03:00,3681.00,3681.00,3679.00,3679.00,1472,0\r\n2006-01-11,09:04:00,3680.00,3681.00,3679.00,3681.00,1770,0\r\n2006-01-11,09:05:00,3681.00,3682.00,3679.00,3681.00,1441,0\r\n2006-01-11,09:06:00,3680.00,3682.00,3680.00,3680.00,1874,0\r\n2006-01-11,09:07:00,3680.00,3680.00,3678.00,3679.00,1833,0\r\n2006-01-11,09:08:00,3679.00,3679.00,3678.00,3678.00,384,0\r\n2006-01-11,09:09:00,3679.00,3679.00,3678.00,3679.00,665,0\r\n2006-01-11,09:10:00,3678.00,3682.00,3678.00,3681.00,3289,0\r\n2006-01-11,09:11:00,3681.00,3682.00,3680.00,3681.00,1054,0\r\n2006-01-11,09:12:00,3682.00,3682.00,3679.00,3680.00,964,0\r\n2006-01-11,09:13:00,3680.00,3680.00,3677.00,3677.00,1108,0\r\n2006-01-11,09:14:00,3677.00,3679.00,3677.00,3678.00,1543,0\r\n2006-01-11,09:15:00,3678.00,3680.00,3677.00,3680.00,679,0\r\n2006-01-11,09:16:00,3680.00,3681.00,3679.00,3681.00,1519,0\r\n2006-01-11,09:17:00,3680.00,3681.00,3679.00,3680.00,1053,0\r\n2006-01-11,09:18:00,3680.00,3680.00,3679.00,3679.00,287,0\r\n2006-01-11,09:19:00,3679.00,3679.00,3678.00,3678.00,240,0\r\n2006-01-11,09:20:00,3678.00,3678.00,3677.00,3678.00,1195,0\r\n2006-01-11,09:21:00,3679.00,3681.00,3678.00,3681.00,1489,0\r\n2006-01-11,09:22:00,3680.00,3681.00,3679.00,3679.00,1078,0\r\n2006-01-11,09:23:00,3679.00,3679.00,3676.00,3677.00,1955,0\r\n2006-01-11,09:24:00,3677.00,3678.00,3677.00,3678.00,14,0\r\n2006-01-11,09:25:00,3677.00,3677.00,3676.00,3676.00,1775,0\r\n2006-01-11,09:26:00,3677.00,3677.00,3674.00,3675.00,1733,0\r\n2006-01-11,09:27:00,3674.00,3675.00,3673.00,3674.00,960,0\r\n2006-01-11,09:28:00,3674.00,3675.00,3673.00,3674.00,1039,0\r\n2006-01-11,09:29:00,3673.00,3676.00,3673.00,3676.00,688,0\r\n2006-01-11,09:30:00,3676.00,3677.00,3675.00,3676.00,616,0\r\n2006-01-11,09:31:00,3675.00,3677.00,3675.00,3677.00,431,0\r\n2006-01-11,09:32:00,3677.00,3677.00,3675.00,3677.00,706,0\r\n2006-01-11,09:33:00,3676.00,3677.00,3675.00,3676.00,154,0\r\n2006-01-11,09:34:00,3676.00,3677.00,3676.00,3676.00,2040,0\r\n2006-01-11,09:35:00,3676.00,3676.00,3675.00,3676.00,901,0\r\n2006-01-11,09:36:00,3675.00,3675.00,3674.00,3675.00,583,0\r\n2006-01-11,09:37:00,3675.00,3675.00,3673.00,3674.00,953,0\r\n2006-01-11,09:38:00,3675.00,3675.00,3674.00,3674.00,452,0\r\n2006-01-11,09:39:00,3674.00,3677.00,3674.00,3676.00,1315,0\r\n2006-01-11,09:40:00,3676.00,3677.00,3675.00,3676.00,852,0\r\n2006-01-11,09:41:00,3676.00,3677.00,3675.00,3677.00,389,0\r\n2006-01-11,09:42:00,3676.00,3677.00,3676.00,3677.00,838,0\r\n2006-01-11,09:43:00,3677.00,3679.00,3677.00,3679.00,1138,0\r\n2006-01-11,09:44:00,3678.00,3678.00,3677.00,3677.00,436,0\r\n2006-01-11,09:45:00,3677.00,3677.00,3676.00,3677.00,248,0\r\n2006-01-11,09:46:00,3677.00,3678.00,3677.00,3677.00,7,0\r\n2006-01-11,09:47:00,3678.00,3678.00,3677.00,3677.00,17,0\r\n2006-01-11,09:48:00,3678.00,3678.00,3676.00,3676.00,466,0\r\n2006-01-11,09:49:00,3677.00,3677.00,3676.00,3676.00,4,0\r\n2006-01-11,09:50:00,3677.00,3679.00,3677.00,3678.00,821,0\r\n2006-01-11,09:51:00,3678.00,3679.00,3677.00,3678.00,622,0\r\n2006-01-11,09:52:00,3677.00,3678.00,3676.00,3677.00,598,0\r\n2006-01-11,09:53:00,3676.00,3677.00,3675.00,3675.00,747,0\r\n2006-01-11,09:54:00,3675.00,3676.00,3675.00,3676.00,1188,0\r\n2006-01-11,09:55:00,3676.00,3676.00,3675.00,3676.00,803,0\r\n2006-01-11,09:56:00,3677.00,3677.00,3676.00,3676.00,5,0\r\n2006-01-11,09:57:00,3677.00,3678.00,3676.00,3677.00,1189,0\r\n2006-01-11,09:58:00,3677.00,3678.00,3677.00,3678.00,34,0\r\n2006-01-11,09:59:00,3677.00,3678.00,3677.00,3678.00,135,0\r\n2006-01-11,10:00:00,3678.00,3678.00,3677.00,3677.00,402,0\r\n2006-01-11,10:01:00,3678.00,3678.00,3677.00,3678.00,458,0\r\n2006-01-11,10:02:00,3677.00,3680.00,3677.00,3679.00,1654,0\r\n2006-01-11,10:03:00,3679.00,3680.00,3678.00,3679.00,806,0\r\n2006-01-11,10:04:00,3680.00,3680.00,3679.00,3679.00,636,0\r\n2006-01-11,10:05:00,3679.00,3679.00,3678.00,3679.00,606,0\r\n2006-01-11,10:06:00,3679.00,3680.00,3678.00,3678.00,1566,0\r\n2006-01-11,10:07:00,3678.00,3679.00,3678.00,3678.00,701,0\r\n2006-01-11,10:08:00,3678.00,3679.00,3678.00,3679.00,1352,0\r\n2006-01-11,10:09:00,3680.00,3680.00,3678.00,3678.00,573,0\r\n2006-01-11,10:10:00,3678.00,3679.00,3678.00,3678.00,1099,0\r\n2006-01-11,10:11:00,3678.00,3679.00,3678.00,3678.00,238,0\r\n2006-01-11,10:12:00,3679.00,3679.00,3678.00,3678.00,147,0\r\n2006-01-11,10:13:00,3678.00,3679.00,3678.00,3678.00,409,0\r\n2006-01-11,10:14:00,3678.00,3679.00,3677.00,3678.00,229,0\r\n2006-01-11,10:15:00,3678.00,3680.00,3678.00,3679.00,382,0\r\n2006-01-11,10:16:00,3679.00,3679.00,3678.00,3679.00,53,0\r\n2006-01-11,10:17:00,3678.00,3679.00,3678.00,3679.00,330,0\r\n2006-01-11,10:18:00,3679.00,3679.00,3679.00,3679.00,14,0\r\n2006-01-11,10:19:00,3679.00,3679.00,3679.00,3679.00,21,0\r\n2006-01-11,10:20:00,3679.00,3679.00,3678.00,3678.00,565,0\r\n2006-01-11,10:21:00,3678.00,3678.00,3678.00,3678.00,54,0\r\n2006-01-11,10:22:00,3678.00,3678.00,3677.00,3678.00,199,0\r\n2006-01-11,10:23:00,3677.00,3679.00,3677.00,3678.00,463,0\r\n2006-01-11,10:24:00,3677.00,3678.00,3677.00,3677.00,3052,0\r\n2006-01-11,10:25:00,3677.00,3677.00,3677.00,3677.00,193,0\r\n2006-01-11,10:26:00,3678.00,3678.00,3677.00,3677.00,262,0\r\n2006-01-11,10:27:00,3677.00,3678.00,3677.00,3678.00,215,0\r\n2006-01-11,10:28:00,3679.00,3679.00,3678.00,3678.00,66,0\r\n2006-01-11,10:29:00,3678.00,3679.00,3677.00,3677.00,376,0\r\n2006-01-11,10:30:00,3677.00,3678.00,3677.00,3678.00,465,0\r\n2006-01-11,10:31:00,3678.00,3679.00,3677.00,3677.00,57,0\r\n2006-01-11,10:32:00,3677.00,3677.00,3675.00,3675.00,1596,0\r\n2006-01-11,10:33:00,3676.00,3677.00,3676.00,3677.00,640,0\r\n2006-01-11,10:34:00,3677.00,3678.00,3677.00,3677.00,81,0\r\n2006-01-11,10:35:00,3678.00,3678.00,3677.00,3678.00,82,0\r\n2006-01-11,10:36:00,3677.00,3678.00,3677.00,3678.00,38,0\r\n2006-01-11,10:37:00,3677.00,3678.00,3677.00,3677.00,102,0\r\n2006-01-11,10:38:00,3678.00,3678.00,3677.00,3677.00,132,0\r\n2006-01-11,10:39:00,3677.00,3678.00,3677.00,3678.00,191,0\r\n2006-01-11,10:40:00,3678.00,3678.00,3678.00,3678.00,14,0\r\n2006-01-11,10:41:00,3678.00,3679.00,3678.00,3678.00,476,0\r\n2006-01-11,10:42:00,3678.00,3679.00,3678.00,3678.00,151,0\r\n2006-01-11,10:43:00,3678.00,3678.00,3678.00,3678.00,152,0\r\n2006-01-11,10:44:00,3678.00,3678.00,3678.00,3678.00,32,0\r\n2006-01-11,10:45:00,3678.00,3678.00,3677.00,3677.00,415,0\r\n2006-01-11,10:46:00,3678.00,3678.00,3677.00,3678.00,90,0\r\n2006-01-11,10:47:00,3678.00,3678.00,3678.00,3678.00,67,0\r\n2006-01-11,10:48:00,3678.00,3678.00,3677.00,3677.00,109,0\r\n2006-01-11,10:49:00,3677.00,3677.00,3676.00,3676.00,1006,0\r\n2006-01-11,10:50:00,3676.00,3677.00,3676.00,3676.00,27,0\r\n2006-01-11,10:51:00,3677.00,3677.00,3676.00,3676.00,68,0\r\n2006-01-11,10:52:00,3677.00,3677.00,3677.00,3677.00,160,0\r\n2006-01-11,10:53:00,3677.00,3677.00,3677.00,3677.00,6,0\r\n2006-01-11,10:54:00,3678.00,3678.00,3677.00,3677.00,6,0\r\n2006-01-11,10:55:00,3677.00,3678.00,3677.00,3678.00,318,0\r\n2006-01-11,10:56:00,3679.00,3680.00,3678.00,3678.00,1322,0\r\n2006-01-11,10:57:00,3679.00,3680.00,3677.00,3678.00,1524,0\r\n2006-01-11,10:58:00,3677.00,3679.00,3677.00,3678.00,157,0\r\n2006-01-11,10:59:00,3679.00,3679.00,3677.00,3677.00,159,0\r\n2006-01-11,11:00:00,3679.00,3679.00,3676.00,3677.00,602,0\r\n2006-01-11,11:01:00,3677.00,3677.00,3676.00,3677.00,377,0\r\n2006-01-11,11:02:00,3676.00,3677.00,3676.00,3676.00,7,0\r\n2006-01-11,11:03:00,3676.00,3677.00,3676.00,3676.00,639,0\r\n2006-01-11,11:04:00,3677.00,3677.00,3676.00,3676.00,75,0\r\n2006-01-11,11:05:00,3677.00,3678.00,3676.00,3678.00,155,0\r\n2006-01-11,11:06:00,3677.00,3678.00,3677.00,3677.00,473,0\r\n2006-01-11,11:07:00,3678.00,3678.00,3677.00,3677.00,3,0\r\n2006-01-11,11:08:00,3677.00,3678.00,3677.00,3677.00,3,0\r\n2006-01-11,11:09:00,3677.00,3678.00,3677.00,3677.00,29,0\r\n2006-01-11,11:10:00,3677.00,3677.00,3677.00,3677.00,169,0\r\n2006-01-11,11:11:00,3677.00,3677.00,3677.00,3677.00,57,0\r\n2006-01-11,11:12:00,3678.00,3678.00,3678.00,3678.00,71,0\r\n2006-01-11,11:13:00,3677.00,3679.00,3677.00,3679.00,260,0\r\n2006-01-11,11:14:00,3679.00,3679.00,3679.00,3679.00,420,0\r\n2006-01-11,11:15:00,3679.00,3680.00,3678.00,3679.00,408,0\r\n2006-01-11,11:16:00,3679.00,3679.00,3679.00,3679.00,123,0\r\n2006-01-11,11:17:00,3679.00,3680.00,3679.00,3680.00,223,0\r\n2006-01-11,11:18:00,3680.00,3680.00,3679.00,3680.00,653,0\r\n2006-01-11,11:19:00,3680.00,3682.00,3680.00,3682.00,1545,0\r\n2006-01-11,11:20:00,3682.00,3683.00,3681.00,3682.00,1328,0\r\n2006-01-11,11:21:00,3682.00,3682.00,3681.00,3682.00,808,0\r\n2006-01-11,11:22:00,3682.00,3682.00,3682.00,3682.00,543,0\r\n2006-01-11,11:23:00,3682.00,3683.00,3682.00,3682.00,476,0\r\n2006-01-11,11:24:00,3682.00,3683.00,3682.00,3682.00,214,0\r\n2006-01-11,11:25:00,3682.00,3683.00,3682.00,3682.00,266,0\r\n2006-01-11,11:26:00,3682.00,3683.00,3682.00,3683.00,364,0\r\n2006-01-11,11:27:00,3683.00,3684.00,3683.00,3683.00,2094,0\r\n2006-01-11,11:28:00,3683.00,3683.00,3682.00,3682.00,35,0\r\n2006-01-11,11:29:00,3683.00,3683.00,3682.00,3682.00,37,0\r\n2006-01-11,11:30:00,3683.00,3684.00,3683.00,3683.00,714,0\r\n2006-01-11,11:31:00,3683.00,3683.00,3681.00,3682.00,1398,0\r\n2006-01-11,11:32:00,3682.00,3684.00,3682.00,3683.00,1029,0\r\n2006-01-11,11:33:00,3683.00,3684.00,3683.00,3683.00,491,0\r\n2006-01-11,11:34:00,3683.00,3685.00,3683.00,3684.00,1509,0\r\n2006-01-11,11:35:00,3683.00,3684.00,3683.00,3684.00,1742,0\r\n2006-01-11,11:36:00,3684.00,3684.00,3683.00,3683.00,121,0\r\n2006-01-11,11:37:00,3683.00,3684.00,3682.00,3682.00,750,0\r\n2006-01-11,11:38:00,3683.00,3683.00,3682.00,3682.00,772,0\r\n2006-01-11,11:39:00,3682.00,3683.00,3682.00,3683.00,21,0\r\n2006-01-11,11:40:00,3682.00,3682.00,3682.00,3682.00,92,0\r\n2006-01-11,11:41:00,3683.00,3684.00,3683.00,3683.00,553,0\r\n2006-01-11,11:42:00,3683.00,3684.00,3683.00,3683.00,120,0\r\n2006-01-11,11:43:00,3684.00,3684.00,3683.00,3683.00,451,0\r\n2006-01-11,11:44:00,3683.00,3684.00,3683.00,3683.00,761,0\r\n2006-01-11,11:45:00,3683.00,3683.00,3682.00,3682.00,268,0\r\n2006-01-11,11:46:00,3681.00,3681.00,3681.00,3681.00,43,0\r\n2006-01-11,11:47:00,3681.00,3682.00,3681.00,3681.00,386,0\r\n2006-01-11,11:48:00,3682.00,3682.00,3681.00,3681.00,3,0\r\n2006-01-11,11:49:00,3682.00,3683.00,3682.00,3683.00,268,0\r\n2006-01-11,11:50:00,3682.00,3683.00,3682.00,3682.00,64,0\r\n2006-01-11,11:51:00,3682.00,3683.00,3682.00,3683.00,115,0\r\n2006-01-11,11:52:00,3682.00,3683.00,3682.00,3683.00,283,0\r\n2006-01-11,11:53:00,3683.00,3683.00,3683.00,3683.00,1,0\r\n2006-01-11,11:54:00,3682.00,3684.00,3682.00,3684.00,284,0\r\n2006-01-11,11:55:00,3683.00,3684.00,3683.00,3684.00,73,0\r\n2006-01-11,11:56:00,3683.00,3683.00,3683.00,3683.00,258,0\r\n2006-01-11,11:57:00,3683.00,3684.00,3683.00,3683.00,35,0\r\n2006-01-11,11:58:00,3683.00,3684.00,3683.00,3684.00,296,0\r\n2006-01-11,11:59:00,3684.00,3685.00,3683.00,3685.00,1449,0\r\n2006-01-11,12:00:00,3685.00,3686.00,3685.00,3685.00,966,0\r\n2006-01-11,12:01:00,3685.00,3687.00,3685.00,3686.00,1997,0\r\n2006-01-11,12:02:00,3686.00,3687.00,3686.00,3686.00,155,0\r\n2006-01-11,12:03:00,3686.00,3686.00,3685.00,3685.00,773,0\r\n2006-01-11,12:04:00,3685.00,3686.00,3684.00,3685.00,870,0\r\n2006-01-11,12:05:00,3685.00,3685.00,3685.00,3685.00,269,0\r\n2006-01-11,12:06:00,3685.00,3685.00,3685.00,3685.00,150,0\r\n2006-01-11,12:07:00,3685.00,3685.00,3684.00,3685.00,44,0\r\n2006-01-11,12:08:00,3685.00,3685.00,3684.00,3685.00,893,0\r\n2006-01-11,12:09:00,3684.00,3684.00,3684.00,3684.00,79,0\r\n2006-01-11,12:10:00,3684.00,3684.00,3683.00,3684.00,176,0\r\n2006-01-11,12:11:00,3683.00,3684.00,3683.00,3684.00,93,0\r\n2006-01-11,12:12:00,3684.00,3684.00,3683.00,3683.00,275,0\r\n2006-01-11,12:13:00,3683.00,3683.00,3683.00,3683.00,7,0\r\n2006-01-11,12:14:00,3683.00,3684.00,3683.00,3683.00,88,0\r\n2006-01-11,12:15:00,3684.00,3684.00,3684.00,3684.00,1,0\r\n2006-01-11,12:16:00,3684.00,3684.00,3683.00,3684.00,11,0\r\n2006-01-11,12:17:00,3683.00,3684.00,3683.00,3683.00,11,0\r\n2006-01-11,12:18:00,3684.00,3684.00,3683.00,3684.00,243,0\r\n2006-01-11,12:19:00,3685.00,3685.00,3685.00,3685.00,89,0\r\n2006-01-11,12:20:00,3685.00,3685.00,3684.00,3684.00,437,0\r\n2006-01-11,12:21:00,3684.00,3685.00,3684.00,3684.00,6,0\r\n2006-01-11,12:22:00,3685.00,3685.00,3684.00,3684.00,12,0\r\n2006-01-11,12:23:00,3685.00,3686.00,3685.00,3685.00,308,0\r\n2006-01-11,12:24:00,3685.00,3685.00,3684.00,3684.00,169,0\r\n2006-01-11,12:25:00,3685.00,3685.00,3684.00,3685.00,93,0\r\n2006-01-11,12:26:00,3685.00,3685.00,3685.00,3685.00,122,0\r\n2006-01-11,12:27:00,3685.00,3685.00,3684.00,3685.00,12,0\r\n2006-01-11,12:28:00,3685.00,3685.00,3684.00,3684.00,314,0\r\n2006-01-11,12:29:00,3684.00,3684.00,3684.00,3684.00,301,0\r\n2006-01-11,12:30:00,3685.00,3685.00,3684.00,3685.00,64,0\r\n2006-01-11,12:31:00,3684.00,3685.00,3684.00,3684.00,415,0\r\n2006-01-11,12:32:00,3685.00,3685.00,3685.00,3685.00,6,0\r\n2006-01-11,12:33:00,3684.00,3685.00,3684.00,3684.00,12,0\r\n2006-01-11,12:34:00,3684.00,3685.00,3684.00,3685.00,11,0\r\n2006-01-11,12:35:00,3684.00,3685.00,3684.00,3685.00,30,0\r\n2006-01-11,12:36:00,3684.00,3685.00,3684.00,3684.00,743,0\r\n2006-01-11,12:37:00,3684.00,3684.00,3683.00,3683.00,90,0\r\n2006-01-11,12:38:00,3684.00,3684.00,3681.00,3681.00,1557,0\r\n2006-01-11,12:39:00,3681.00,3682.00,3681.00,3682.00,894,0\r\n2006-01-11,12:40:00,3682.00,3683.00,3682.00,3683.00,339,0\r\n2006-01-11,12:41:00,3682.00,3683.00,3682.00,3683.00,655,0\r\n2006-01-11,12:42:00,3682.00,3683.00,3681.00,3682.00,92,0\r\n2006-01-11,12:43:00,3682.00,3682.00,3681.00,3682.00,778,0\r\n2006-01-11,12:44:00,3681.00,3682.00,3681.00,3681.00,53,0\r\n2006-01-11,12:45:00,3681.00,3682.00,3681.00,3682.00,410,0\r\n2006-01-11,12:46:00,3682.00,3682.00,3681.00,3681.00,33,0\r\n2006-01-11,12:47:00,3682.00,3683.00,3682.00,3682.00,246,0\r\n2006-01-11,12:48:00,3683.00,3683.00,3681.00,3681.00,226,0\r\n2006-01-11,12:49:00,3681.00,3682.00,3680.00,3681.00,1011,0\r\n2006-01-11,12:50:00,3681.00,3682.00,3681.00,3681.00,14,0\r\n2006-01-11,12:51:00,3682.00,3682.00,3681.00,3681.00,4,0\r\n2006-01-11,12:52:00,3681.00,3682.00,3681.00,3681.00,309,0\r\n2006-01-11,12:53:00,3681.00,3681.00,3681.00,3681.00,883,0\r\n2006-01-11,12:54:00,3681.00,3681.00,3681.00,3681.00,28,0\r\n2006-01-11,12:55:00,3681.00,3681.00,3681.00,3681.00,3,0\r\n2006-01-11,12:56:00,3681.00,3682.00,3681.00,3681.00,24,0\r\n2006-01-11,12:57:00,3682.00,3682.00,3681.00,3681.00,104,0\r\n2006-01-11,12:58:00,3681.00,3681.00,3680.00,3680.00,138,0\r\n2006-01-11,12:59:00,3680.00,3681.00,3680.00,3681.00,173,0\r\n2006-01-11,13:00:00,3681.00,3681.00,3680.00,3680.00,549,0\r\n2006-01-11,13:01:00,3681.00,3681.00,3680.00,3680.00,599,0\r\n2006-01-11,13:02:00,3680.00,3680.00,3679.00,3680.00,514,0\r\n2006-01-11,13:03:00,3680.00,3680.00,3680.00,3680.00,30,0\r\n2006-01-11,13:04:00,3680.00,3681.00,3679.00,3679.00,1332,0\r\n2006-01-11,13:05:00,3679.00,3680.00,3678.00,3679.00,840,0\r\n2006-01-11,13:06:00,3679.00,3679.00,3677.00,3677.00,2058,0\r\n2006-01-11,13:07:00,3677.00,3678.00,3676.00,3677.00,1598,0\r\n2006-01-11,13:08:00,3678.00,3678.00,3677.00,3678.00,985,0\r\n2006-01-11,13:09:00,3677.00,3678.00,3676.00,3677.00,538,0\r\n2006-01-11,13:10:00,3677.00,3677.00,3675.00,3676.00,1129,0\r\n2006-01-11,13:11:00,3676.00,3677.00,3676.00,3677.00,804,0\r\n2006-01-11,13:12:00,3676.00,3677.00,3675.00,3676.00,2038,0\r\n2006-01-11,13:13:00,3676.00,3677.00,3676.00,3676.00,314,0\r\n2006-01-11,13:14:00,3676.00,3677.00,3676.00,3677.00,325,0\r\n2006-01-11,13:15:00,3677.00,3677.00,3676.00,3676.00,284,0\r\n2006-01-11,13:16:00,3677.00,3677.00,3676.00,3677.00,263,0\r\n2006-01-11,13:17:00,3676.00,3676.00,3676.00,3676.00,1442,0\r\n2006-01-11,13:18:00,3676.00,3676.00,3676.00,3676.00,114,0\r\n2006-01-11,13:19:00,3677.00,3677.00,3675.00,3675.00,286,0\r\n2006-01-11,13:20:00,3676.00,3676.00,3675.00,3675.00,143,0\r\n2006-01-11,13:21:00,3675.00,3676.00,3675.00,3675.00,488,0\r\n2006-01-11,13:22:00,3675.00,3675.00,3674.00,3675.00,422,0\r\n2006-01-11,13:23:00,3675.00,3676.00,3674.00,3675.00,434,0\r\n2006-01-11,13:24:00,3675.00,3675.00,3675.00,3675.00,531,0\r\n2006-01-11,13:25:00,3674.00,3675.00,3674.00,3674.00,576,0\r\n2006-01-11,13:26:00,3675.00,3675.00,3674.00,3674.00,8,0\r\n2006-01-11,13:27:00,3675.00,3675.00,3675.00,3675.00,31,0\r\n2006-01-11,13:28:00,3675.00,3675.00,3674.00,3674.00,3,0\r\n2006-01-11,13:29:00,3674.00,3675.00,3674.00,3674.00,272,0\r\n2006-01-11,13:30:00,3674.00,3675.00,3674.00,3675.00,1229,0\r\n2006-01-11,13:31:00,3675.00,3676.00,3675.00,3675.00,95,0\r\n2006-01-11,13:32:00,3675.00,3675.00,3675.00,3675.00,249,0\r\n2006-01-11,13:33:00,3675.00,3675.00,3675.00,3675.00,65,0\r\n2006-01-11,13:34:00,3675.00,3675.00,3671.00,3672.00,5694,0\r\n2006-01-11,13:35:00,3672.00,3673.00,3671.00,3672.00,2908,0\r\n2006-01-11,13:36:00,3673.00,3673.00,3672.00,3673.00,192,0\r\n2006-01-11,13:37:00,3673.00,3673.00,3672.00,3672.00,2500,0\r\n2006-01-11,13:38:00,3673.00,3673.00,3672.00,3673.00,1361,0\r\n2006-01-11,13:39:00,3673.00,3674.00,3673.00,3674.00,535,0\r\n2006-01-11,13:40:00,3674.00,3674.00,3674.00,3674.00,302,0\r\n2006-01-11,13:41:00,3674.00,3675.00,3673.00,3675.00,1611,0\r\n2006-01-11,13:42:00,3675.00,3675.00,3675.00,3675.00,253,0\r\n2006-01-11,13:43:00,3675.00,3676.00,3675.00,3675.00,462,0\r\n2006-01-11,13:44:00,3676.00,3676.00,3676.00,3676.00,14,0\r\n2006-01-11,13:45:00,3676.00,3676.00,3675.00,3676.00,140,0\r\n2006-01-11,13:46:00,3676.00,3676.00,3675.00,3676.00,264,0\r\n2006-01-11,13:47:00,3676.00,3676.00,3675.00,3675.00,131,0\r\n2006-01-11,13:48:00,3675.00,3675.00,3675.00,3675.00,50,0\r\n2006-01-11,13:49:00,3675.00,3676.00,3675.00,3675.00,43,0\r\n2006-01-11,13:50:00,3675.00,3676.00,3674.00,3675.00,958,0\r\n2006-01-11,13:51:00,3675.00,3676.00,3674.00,3676.00,1481,0\r\n2006-01-11,13:52:00,3675.00,3675.00,3675.00,3675.00,37,0\r\n2006-01-11,13:53:00,3676.00,3676.00,3675.00,3675.00,322,0\r\n2006-01-11,13:54:00,3675.00,3675.00,3675.00,3675.00,1,0\r\n2006-01-11,13:55:00,3675.00,3675.00,3675.00,3675.00,204,0\r\n2006-01-11,13:56:00,3675.00,3676.00,3675.00,3676.00,8,0\r\n2006-01-11,13:57:00,3676.00,3676.00,3675.00,3675.00,433,0\r\n2006-01-11,13:58:00,3675.00,3676.00,3675.00,3675.00,61,0\r\n2006-01-11,13:59:00,3676.00,3676.00,3675.00,3675.00,13,0\r\n2006-01-11,14:00:00,3675.00,3676.00,3675.00,3676.00,8,0\r\n2006-01-11,14:01:00,3675.00,3677.00,3675.00,3675.00,983,0\r\n2006-01-11,14:02:00,3676.00,3677.00,3676.00,3676.00,931,0\r\n2006-01-11,14:03:00,3676.00,3676.00,3675.00,3675.00,109,0\r\n2006-01-11,14:04:00,3676.00,3676.00,3676.00,3676.00,402,0\r\n2006-01-11,14:05:00,3676.00,3676.00,3675.00,3676.00,336,0\r\n2006-01-11,14:06:00,3676.00,3676.00,3675.00,3676.00,4,0\r\n2006-01-11,14:07:00,3676.00,3676.00,3675.00,3676.00,1577,0\r\n2006-01-11,14:08:00,3675.00,3676.00,3674.00,3676.00,449,0\r\n2006-01-11,14:09:00,3675.00,3676.00,3674.00,3676.00,190,0\r\n2006-01-11,14:10:00,3676.00,3676.00,3676.00,3676.00,1,0\r\n2006-01-11,14:11:00,3675.00,3676.00,3675.00,3675.00,4,0\r\n2006-01-11,14:12:00,3676.00,3676.00,3676.00,3676.00,206,0\r\n2006-01-11,14:13:00,3675.00,3676.00,3675.00,3676.00,15,0\r\n2006-01-11,14:14:00,3676.00,3676.00,3675.00,3675.00,6,0\r\n2006-01-11,14:15:00,3675.00,3676.00,3675.00,3675.00,6,0\r\n2006-01-11,14:16:00,3676.00,3676.00,3675.00,3676.00,84,0\r\n2006-01-11,14:17:00,3676.00,3676.00,3675.00,3676.00,27,0\r\n2006-01-11,14:18:00,3675.00,3676.00,3675.00,3675.00,179,0\r\n2006-01-11,14:19:00,3675.00,3676.00,3675.00,3676.00,28,0\r\n2006-01-11,14:20:00,3676.00,3676.00,3675.00,3676.00,46,0\r\n2006-01-11,14:21:00,3675.00,3676.00,3674.00,3674.00,695,0\r\n2006-01-11,14:22:00,3674.00,3675.00,3674.00,3675.00,126,0\r\n2006-01-11,14:23:00,3675.00,3675.00,3675.00,3675.00,503,0\r\n2006-01-11,14:24:00,3675.00,3675.00,3673.00,3674.00,1004,0\r\n2006-01-11,14:25:00,3674.00,3674.00,3674.00,3674.00,27,0\r\n2006-01-11,14:26:00,3673.00,3674.00,3673.00,3674.00,8,0\r\n2006-01-11,14:27:00,3674.00,3674.00,3673.00,3673.00,6,0\r\n2006-01-11,14:28:00,3674.00,3674.00,3674.00,3674.00,3167,0\r\n2006-01-11,14:29:00,3674.00,3674.00,3673.00,3674.00,310,0\r\n2006-01-11,14:30:00,3674.00,3675.00,3674.00,3675.00,29,0\r\n2006-01-11,14:31:00,3674.00,3675.00,3674.00,3675.00,6,0\r\n2006-01-11,14:32:00,3674.00,3674.00,3674.00,3674.00,87,0\r\n2006-01-11,14:33:00,3674.00,3675.00,3673.00,3674.00,894,0\r\n2006-01-11,14:34:00,3674.00,3674.00,3674.00,3674.00,123,0\r\n2006-01-11,14:35:00,3674.00,3674.00,3673.00,3674.00,16,0\r\n2006-01-11,14:36:00,3673.00,3674.00,3673.00,3674.00,58,0\r\n2006-01-11,14:37:00,3674.00,3674.00,3673.00,3674.00,174,0\r\n2006-01-11,14:38:00,3673.00,3674.00,3673.00,3673.00,1097,0\r\n2006-01-11,14:39:00,3674.00,3674.00,3674.00,3674.00,115,0\r\n2006-01-11,14:40:00,3674.00,3675.00,3674.00,3675.00,279,0\r\n2006-01-11,14:41:00,3675.00,3676.00,3675.00,3676.00,663,0\r\n2006-01-11,14:42:00,3675.00,3677.00,3675.00,3676.00,504,0\r\n2006-01-11,14:43:00,3677.00,3677.00,3676.00,3677.00,307,0\r\n2006-01-11,14:44:00,3677.00,3677.00,3676.00,3676.00,426,0\r\n2006-01-11,14:45:00,3676.00,3677.00,3675.00,3677.00,91,0\r\n2006-01-11,14:46:00,3676.00,3677.00,3676.00,3677.00,4,0\r\n2006-01-11,14:47:00,3676.00,3677.00,3676.00,3677.00,31,0\r\n2006-01-11,14:48:00,3676.00,3677.00,3676.00,3677.00,6,0\r\n2006-01-11,14:49:00,3677.00,3677.00,3676.00,3677.00,233,0\r\n2006-01-11,14:50:00,3676.00,3677.00,3676.00,3677.00,251,0\r\n2006-01-11,14:51:00,3676.00,3677.00,3676.00,3677.00,13,0\r\n2006-01-11,14:52:00,3677.00,3677.00,3676.00,3677.00,6,0\r\n2006-01-11,14:53:00,3677.00,3677.00,3676.00,3677.00,218,0\r\n2006-01-11,14:54:00,3677.00,3677.00,3676.00,3676.00,218,0\r\n2006-01-11,14:55:00,3677.00,3677.00,3676.00,3677.00,637,0\r\n2006-01-11,14:56:00,3677.00,3677.00,3676.00,3677.00,500,0\r\n2006-01-11,14:57:00,3677.00,3677.00,3676.00,3677.00,119,0\r\n2006-01-11,14:58:00,3677.00,3677.00,3677.00,3677.00,52,0\r\n2006-01-11,14:59:00,3676.00,3677.00,3676.00,3677.00,362,0\r\n2006-01-11,15:00:00,3676.00,3677.00,3676.00,3677.00,2,0\r\n2006-01-11,15:01:00,3676.00,3676.00,3674.00,3675.00,1570,0\r\n2006-01-11,15:02:00,3675.00,3675.00,3674.00,3674.00,250,0\r\n2006-01-11,15:03:00,3674.00,3675.00,3674.00,3674.00,55,0\r\n2006-01-11,15:04:00,3675.00,3675.00,3674.00,3674.00,62,0\r\n2006-01-11,15:05:00,3675.00,3675.00,3674.00,3675.00,62,0\r\n2006-01-11,15:06:00,3675.00,3676.00,3674.00,3674.00,933,0\r\n2006-01-11,15:07:00,3675.00,3675.00,3675.00,3675.00,33,0\r\n2006-01-11,15:08:00,3674.00,3675.00,3674.00,3675.00,2,0\r\n2006-01-11,15:09:00,3675.00,3676.00,3675.00,3675.00,212,0\r\n2006-01-11,15:10:00,3676.00,3676.00,3675.00,3675.00,63,0\r\n2006-01-11,15:11:00,3676.00,3676.00,3675.00,3676.00,16,0\r\n2006-01-11,15:12:00,3675.00,3676.00,3675.00,3676.00,184,0\r\n2006-01-11,15:13:00,3676.00,3676.00,3675.00,3676.00,1073,0\r\n2006-01-11,15:14:00,3676.00,3676.00,3675.00,3675.00,188,0\r\n2006-01-11,15:15:00,3675.00,3675.00,3674.00,3674.00,46,0\r\n2006-01-11,15:16:00,3675.00,3675.00,3674.00,3675.00,12,0\r\n2006-01-11,15:17:00,3675.00,3675.00,3674.00,3675.00,174,0\r\n2006-01-11,15:18:00,3675.00,3676.00,3675.00,3676.00,584,0\r\n2006-01-11,15:19:00,3675.00,3675.00,3675.00,3675.00,31,0\r\n2006-01-11,15:20:00,3675.00,3676.00,3675.00,3676.00,346,0\r\n2006-01-11,15:21:00,3675.00,3675.00,3674.00,3675.00,187,0\r\n2006-01-11,15:22:00,3674.00,3674.00,3673.00,3673.00,1563,0\r\n2006-01-11,15:23:00,3673.00,3674.00,3673.00,3674.00,4,0\r\n2006-01-11,15:24:00,3674.00,3674.00,3673.00,3674.00,118,0\r\n2006-01-11,15:25:00,3673.00,3674.00,3672.00,3674.00,547,0\r\n2006-01-11,15:26:00,3674.00,3674.00,3673.00,3673.00,191,0\r\n2006-01-11,15:27:00,3673.00,3674.00,3673.00,3673.00,264,0\r\n2006-01-11,15:28:00,3673.00,3673.00,3672.00,3672.00,212,0\r\n2006-01-11,15:29:00,3673.00,3673.00,3672.00,3673.00,799,0\r\n2006-01-11,15:30:00,3673.00,3673.00,3672.00,3673.00,509,0\r\n2006-01-11,15:31:00,3672.00,3673.00,3672.00,3672.00,513,0\r\n2006-01-11,15:32:00,3672.00,3673.00,3672.00,3673.00,269,0\r\n2006-01-11,15:33:00,3672.00,3673.00,3669.00,3670.00,4334,0\r\n2006-01-11,15:34:00,3669.00,3671.00,3669.00,3670.00,3485,0\r\n2006-01-11,15:35:00,3671.00,3671.00,3670.00,3671.00,673,0\r\n2006-01-11,15:36:00,3671.00,3671.00,3669.00,3670.00,887,0\r\n2006-01-11,15:37:00,3670.00,3671.00,3670.00,3671.00,546,0\r\n2006-01-11,15:38:00,3670.00,3671.00,3669.00,3670.00,904,0\r\n2006-01-11,15:39:00,3670.00,3670.00,3669.00,3669.00,412,0\r\n2006-01-11,15:40:00,3670.00,3670.00,3667.00,3668.00,2246,0\r\n2006-01-11,15:41:00,3667.00,3668.00,3667.00,3668.00,1546,0\r\n2006-01-11,15:42:00,3668.00,3669.00,3667.00,3668.00,807,0\r\n2006-01-11,15:43:00,3668.00,3668.00,3666.00,3666.00,1354,0\r\n2006-01-11,15:44:00,3666.00,3667.00,3666.00,3667.00,754,0\r\n2006-01-11,15:45:00,3666.00,3668.00,3666.00,3668.00,1996,0\r\n2006-01-11,15:46:00,3667.00,3669.00,3666.00,3669.00,2381,0\r\n2006-01-11,15:47:00,3669.00,3669.00,3666.00,3666.00,1402,0\r\n2006-01-11,15:48:00,3666.00,3668.00,3666.00,3667.00,1012,0\r\n2006-01-11,15:49:00,3668.00,3669.00,3667.00,3667.00,1539,0\r\n2006-01-11,15:50:00,3667.00,3669.00,3667.00,3668.00,908,0\r\n2006-01-11,15:51:00,3668.00,3669.00,3668.00,3669.00,141,0\r\n2006-01-11,15:52:00,3669.00,3669.00,3668.00,3668.00,880,0\r\n2006-01-11,15:53:00,3669.00,3669.00,3667.00,3667.00,1572,0\r\n2006-01-11,15:54:00,3667.00,3667.00,3666.00,3666.00,670,0\r\n2006-01-11,15:55:00,3666.00,3668.00,3666.00,3667.00,774,0\r\n2006-01-11,15:56:00,3667.00,3669.00,3667.00,3669.00,940,0\r\n2006-01-11,15:57:00,3669.00,3669.00,3667.00,3668.00,372,0\r\n2006-01-11,15:58:00,3667.00,3669.00,3667.00,3669.00,1407,0\r\n2006-01-11,15:59:00,3670.00,3670.00,3669.00,3670.00,517,0\r\n2006-01-11,16:00:00,3669.00,3671.00,3669.00,3671.00,1966,0\r\n2006-01-11,16:01:00,3671.00,3672.00,3670.00,3670.00,1566,0\r\n2006-01-11,16:02:00,3670.00,3671.00,3668.00,3668.00,2524,0\r\n2006-01-11,16:03:00,3668.00,3669.00,3667.00,3668.00,2788,0\r\n2006-01-11,16:04:00,3668.00,3669.00,3667.00,3669.00,1419,0\r\n2006-01-11,16:05:00,3669.00,3671.00,3669.00,3670.00,1191,0\r\n2006-01-11,16:06:00,3670.00,3671.00,3670.00,3670.00,965,0\r\n2006-01-11,16:07:00,3671.00,3673.00,3671.00,3672.00,2547,0\r\n2006-01-11,16:08:00,3672.00,3673.00,3671.00,3671.00,460,0\r\n2006-01-11,16:09:00,3671.00,3672.00,3671.00,3671.00,1041,0\r\n2006-01-11,16:10:00,3671.00,3671.00,3670.00,3671.00,409,0\r\n2006-01-11,16:11:00,3671.00,3672.00,3670.00,3671.00,771,0\r\n2006-01-11,16:12:00,3671.00,3672.00,3670.00,3672.00,674,0\r\n2006-01-11,16:13:00,3671.00,3672.00,3670.00,3671.00,1181,0\r\n2006-01-11,16:14:00,3671.00,3672.00,3671.00,3671.00,687,0\r\n2006-01-11,16:15:00,3672.00,3672.00,3670.00,3671.00,2431,0\r\n2006-01-11,16:16:00,3671.00,3672.00,3671.00,3672.00,537,0\r\n2006-01-11,16:17:00,3671.00,3673.00,3670.00,3673.00,1057,0\r\n2006-01-11,16:18:00,3673.00,3676.00,3673.00,3675.00,3410,0\r\n2006-01-11,16:19:00,3675.00,3676.00,3674.00,3675.00,2771,0\r\n2006-01-11,16:20:00,3675.00,3675.00,3674.00,3675.00,581,0\r\n2006-01-11,16:21:00,3675.00,3676.00,3674.00,3675.00,481,0\r\n2006-01-11,16:22:00,3674.00,3676.00,3674.00,3676.00,547,0\r\n2006-01-11,16:23:00,3675.00,3676.00,3675.00,3675.00,1661,0\r\n2006-01-11,16:24:00,3676.00,3677.00,3676.00,3676.00,1472,0\r\n2006-01-11,16:25:00,3676.00,3677.00,3676.00,3677.00,790,0\r\n2006-01-11,16:26:00,3676.00,3677.00,3675.00,3676.00,1331,0\r\n2006-01-11,16:27:00,3675.00,3676.00,3675.00,3676.00,813,0\r\n2006-01-11,16:28:00,3675.00,3676.00,3675.00,3676.00,249,0\r\n2006-01-11,16:29:00,3676.00,3676.00,3675.00,3675.00,779,0\r\n2006-01-11,16:30:00,3676.00,3676.00,3676.00,3676.00,36,0\r\n2006-01-11,16:31:00,3675.00,3676.00,3674.00,3676.00,2434,0\r\n2006-01-11,16:32:00,3675.00,3675.00,3674.00,3674.00,1435,0\r\n2006-01-11,16:33:00,3674.00,3675.00,3673.00,3674.00,2643,0\r\n2006-01-11,16:34:00,3674.00,3674.00,3672.00,3672.00,1728,0\r\n2006-01-11,16:35:00,3672.00,3672.00,3669.00,3669.00,3904,0\r\n2006-01-11,16:36:00,3670.00,3671.00,3669.00,3671.00,2383,0\r\n2006-01-11,16:37:00,3670.00,3671.00,3670.00,3671.00,687,0\r\n2006-01-11,16:38:00,3670.00,3671.00,3669.00,3671.00,1734,0\r\n2006-01-11,16:39:00,3671.00,3672.00,3670.00,3672.00,722,0\r\n2006-01-11,16:40:00,3671.00,3673.00,3671.00,3673.00,1117,0\r\n2006-01-11,16:41:00,3672.00,3673.00,3671.00,3672.00,1836,0\r\n2006-01-11,16:42:00,3671.00,3672.00,3670.00,3671.00,1837,0\r\n2006-01-11,16:43:00,3672.00,3672.00,3671.00,3672.00,602,0\r\n2006-01-11,16:44:00,3672.00,3672.00,3670.00,3671.00,473,0\r\n2006-01-11,16:45:00,3671.00,3672.00,3671.00,3671.00,618,0\r\n2006-01-11,16:46:00,3672.00,3672.00,3671.00,3671.00,826,0\r\n2006-01-11,16:47:00,3670.00,3671.00,3670.00,3670.00,1438,0\r\n2006-01-11,16:48:00,3671.00,3672.00,3670.00,3671.00,1531,0\r\n2006-01-11,16:49:00,3671.00,3672.00,3671.00,3672.00,103,0\r\n2006-01-11,16:50:00,3671.00,3672.00,3670.00,3670.00,839,0\r\n2006-01-11,16:51:00,3671.00,3671.00,3670.00,3670.00,840,0\r\n2006-01-11,16:52:00,3671.00,3671.00,3669.00,3669.00,1899,0\r\n2006-01-11,16:53:00,3669.00,3670.00,3668.00,3668.00,1419,0\r\n2006-01-11,16:54:00,3668.00,3669.00,3668.00,3669.00,893,0\r\n2006-01-11,16:55:00,3669.00,3670.00,3667.00,3667.00,2611,0\r\n2006-01-11,16:56:00,3667.00,3668.00,3666.00,3667.00,2403,0\r\n2006-01-11,16:57:00,3667.00,3668.00,3666.00,3667.00,1126,0\r\n2006-01-11,16:58:00,3667.00,3668.00,3667.00,3667.00,31,0\r\n2006-01-11,16:59:00,3668.00,3669.00,3668.00,3668.00,1543,0\r\n2006-01-11,17:00:00,3669.00,3669.00,3668.00,3669.00,660,0\r\n2006-01-11,17:01:00,3669.00,3670.00,3668.00,3670.00,511,0\r\n2006-01-11,17:02:00,3670.00,3670.00,3668.00,3668.00,1748,0\r\n2006-01-11,17:03:00,3668.00,3668.00,3667.00,3668.00,666,0\r\n2006-01-11,17:04:00,3668.00,3670.00,3668.00,3669.00,699,0\r\n2006-01-11,17:05:00,3669.00,3669.00,3669.00,3669.00,12,0\r\n2006-01-11,17:06:00,3670.00,3671.00,3670.00,3670.00,1013,0\r\n2006-01-11,17:07:00,3670.00,3671.00,3670.00,3670.00,676,0\r\n2006-01-11,17:08:00,3671.00,3672.00,3671.00,3672.00,2838,0\r\n2006-01-11,17:09:00,3672.00,3673.00,3671.00,3673.00,1440,0\r\n2006-01-11,17:10:00,3673.00,3674.00,3672.00,3672.00,2090,0\r\n2006-01-11,17:11:00,3672.00,3673.00,3672.00,3673.00,2085,0\r\n2006-01-11,17:12:00,3672.00,3673.00,3672.00,3672.00,35,0\r\n2006-01-11,17:13:00,3672.00,3674.00,3672.00,3673.00,615,0\r\n2006-01-11,17:14:00,3673.00,3673.00,3672.00,3672.00,1388,0\r\n2006-01-11,17:15:00,3672.00,3675.00,3672.00,3674.00,1766,0\r\n2006-01-11,17:16:00,3674.00,3675.00,3673.00,3675.00,1131,0\r\n2006-01-11,17:17:00,3675.00,3677.00,3674.00,3677.00,3221,0\r\n2006-01-11,17:18:00,3676.00,3677.00,3675.00,3676.00,672,0\r\n2006-01-11,17:19:00,3676.00,3677.00,3675.00,3677.00,2256,0\r\n2006-01-11,17:20:00,3677.00,3677.00,3675.00,3675.00,1954,0\r\n2006-01-11,17:21:00,3675.00,3676.00,3674.00,3675.00,1680,0\r\n2006-01-11,17:22:00,3676.00,3676.00,3674.00,3675.00,590,0\r\n2006-01-11,17:23:00,3675.00,3675.00,3674.00,3675.00,832,0\r\n2006-01-11,17:24:00,3675.00,3676.00,3674.00,3675.00,1138,0\r\n2006-01-11,17:25:00,3676.00,3676.00,3674.00,3676.00,2364,0\r\n2006-01-11,17:26:00,3676.00,3676.00,3675.00,3676.00,616,0\r\n2006-01-11,17:27:00,3676.00,3676.00,3675.00,3676.00,1223,0\r\n2006-01-11,17:28:00,3676.00,3677.00,3675.00,3676.00,1674,0\r\n2006-01-11,17:29:00,3676.00,3678.00,3675.00,3678.00,2747,0\r\n2006-01-11,17:30:00,3678.00,3679.00,3677.00,3678.00,2731,0\r\n2006-01-11,17:31:00,3678.00,3680.00,3677.00,3680.00,3907,0\r\n2006-01-11,17:32:00,3679.00,3680.00,3679.00,3680.00,1705,0\r\n2006-01-11,17:33:00,3679.00,3680.00,3678.00,3679.00,1741,0\r\n2006-01-11,17:34:00,3680.00,3681.00,3679.00,3681.00,1352,0\r\n2006-01-11,17:35:00,3680.00,3681.00,3680.00,3681.00,1289,0\r\n2006-01-11,17:36:00,3681.00,3682.00,3681.00,3682.00,2549,0\r\n2006-01-11,17:37:00,3682.00,3682.00,3680.00,3681.00,1279,0\r\n2006-01-11,17:38:00,3681.00,3683.00,3681.00,3682.00,2544,0\r\n2006-01-11,17:39:00,3682.00,3684.00,3681.00,3683.00,2939,0\r\n2006-01-11,17:40:00,3683.00,3686.00,3683.00,3686.00,2654,0\r\n2006-01-11,17:41:00,3686.00,3686.00,3685.00,3686.00,2849,0\r\n2006-01-11,17:42:00,3686.00,3688.00,3685.00,3686.00,2446,0\r\n2006-01-11,17:43:00,3685.00,3686.00,3685.00,3685.00,525,0\r\n2006-01-11,17:44:00,3685.00,3686.00,3684.00,3685.00,1321,0\r\n2006-01-11,17:45:00,3684.00,3684.00,3683.00,3683.00,1646,0\r\n2006-01-11,17:46:00,3683.00,3684.00,3683.00,3683.00,653,0\r\n2006-01-11,17:47:00,3683.00,3683.00,3682.00,3682.00,1124,0\r\n2006-01-11,17:48:00,3682.00,3683.00,3682.00,3682.00,1099,0\r\n2006-01-11,17:49:00,3682.00,3683.00,3682.00,3682.00,523,0\r\n2006-01-11,17:50:00,3682.00,3684.00,3682.00,3684.00,717,0\r\n2006-01-11,17:51:00,3684.00,3684.00,3683.00,3683.00,557,0\r\n2006-01-11,17:52:00,3683.00,3683.00,3681.00,3681.00,823,0\r\n2006-01-11,17:53:00,3681.00,3683.00,3681.00,3683.00,238,0\r\n2006-01-11,17:54:00,3683.00,3683.00,3680.00,3680.00,1012,0\r\n2006-01-11,17:55:00,3681.00,3681.00,3679.00,3679.00,938,0\r\n2006-01-11,17:56:00,3680.00,3680.00,3679.00,3679.00,845,0\r\n2006-01-11,17:57:00,3680.00,3680.00,3679.00,3679.00,1139,0\r\n2006-01-11,17:58:00,3679.00,3681.00,3679.00,3681.00,235,0\r\n2006-01-11,17:59:00,3681.00,3681.00,3680.00,3680.00,522,0\r\n2006-01-11,18:00:00,3680.00,3681.00,3678.00,3679.00,1485,0\r\n2006-01-11,18:01:00,3679.00,3681.00,3679.00,3680.00,210,0\r\n2006-01-11,18:02:00,3681.00,3681.00,3680.00,3681.00,166,0\r\n2006-01-11,18:03:00,3680.00,3681.00,3680.00,3680.00,105,0\r\n2006-01-11,18:04:00,3680.00,3680.00,3678.00,3680.00,635,0\r\n2006-01-11,18:05:00,3679.00,3679.00,3678.00,3679.00,1765,0\r\n2006-01-11,18:06:00,3679.00,3680.00,3679.00,3679.00,418,0\r\n2006-01-11,18:07:00,3679.00,3680.00,3679.00,3680.00,424,0\r\n2006-01-11,18:08:00,3680.00,3680.00,3680.00,3680.00,16,0\r\n2006-01-11,18:09:00,3681.00,3681.00,3680.00,3680.00,69,0\r\n2006-01-11,18:10:00,3680.00,3681.00,3680.00,3681.00,250,0\r\n2006-01-11,18:11:00,3680.00,3680.00,3680.00,3680.00,72,0\r\n2006-01-11,18:12:00,3680.00,3681.00,3680.00,3680.00,27,0\r\n2006-01-11,18:13:00,3679.00,3679.00,3679.00,3679.00,12,0\r\n2006-01-11,18:14:00,3680.00,3680.00,3680.00,3680.00,81,0\r\n2006-01-11,18:15:00,3680.00,3680.00,3680.00,3680.00,82,0\r\n2006-01-11,18:16:00,3680.00,3681.00,3679.00,3681.00,296,0\r\n2006-01-11,18:17:00,3681.00,3682.00,3680.00,3681.00,1508,0\r\n2006-01-11,18:18:00,3681.00,3681.00,3680.00,3680.00,272,0\r\n2006-01-11,18:19:00,3680.00,3680.00,3680.00,3680.00,68,0\r\n2006-01-11,18:20:00,3680.00,3680.00,3679.00,3680.00,68,0\r\n2006-01-11,18:21:00,3680.00,3680.00,3680.00,3680.00,31,0\r\n2006-01-11,18:22:00,3681.00,3681.00,3681.00,3681.00,227,0\r\n2006-01-11,18:23:00,3681.00,3682.00,3681.00,3682.00,19,0\r\n2006-01-11,18:24:00,3681.00,3682.00,3681.00,3682.00,375,0\r\n2006-01-11,18:25:00,3682.00,3683.00,3681.00,3683.00,552,0\r\n2006-01-11,18:26:00,3683.00,3684.00,3682.00,3684.00,64,0\r\n2006-01-11,18:27:00,3684.00,3685.00,3684.00,3684.00,678,0\r\n2006-01-11,18:28:00,3684.00,3685.00,3683.00,3683.00,718,0\r\n2006-01-11,18:29:00,3684.00,3684.00,3683.00,3684.00,299,0\r\n2006-01-11,18:30:00,3683.00,3683.00,3681.00,3681.00,460,0\r\n2006-01-11,18:31:00,3681.00,3683.00,3681.00,3683.00,467,0\r\n2006-01-11,18:32:00,3683.00,3683.00,3682.00,3682.00,114,0\r\n2006-01-11,18:33:00,3682.00,3682.00,3681.00,3681.00,173,0\r\n2006-01-11,18:34:00,3682.00,3682.00,3681.00,3682.00,385,0\r\n2006-01-11,18:35:00,3681.00,3681.00,3681.00,3681.00,93,0\r\n2006-01-11,18:36:00,3681.00,3681.00,3681.00,3681.00,177,0\r\n2006-01-11,18:37:00,3681.00,3682.00,3681.00,3682.00,31,0\r\n2006-01-11,18:38:00,3682.00,3683.00,3682.00,3683.00,275,0\r\n2006-01-11,18:39:00,3683.00,3683.00,3682.00,3683.00,289,0\r\n2006-01-11,18:40:00,3683.00,3684.00,3683.00,3683.00,176,0\r\n2006-01-11,18:41:00,3683.00,3683.00,3683.00,3683.00,17,0\r\n2006-01-11,18:42:00,3683.00,3683.00,3681.00,3681.00,190,0\r\n2006-01-11,18:43:00,3681.00,3681.00,3680.00,3681.00,604,0\r\n2006-01-11,18:44:00,3680.00,3681.00,3680.00,3680.00,110,0\r\n2006-01-11,18:45:00,3681.00,3681.00,3680.00,3680.00,43,0\r\n2006-01-11,18:46:00,3681.00,3682.00,3681.00,3682.00,183,0\r\n2006-01-11,18:47:00,3683.00,3683.00,3682.00,3683.00,41,0\r\n2006-01-11,18:48:00,3683.00,3683.00,3682.00,3682.00,269,0\r\n2006-01-11,18:49:00,3683.00,3684.00,3682.00,3682.00,369,0\r\n2006-01-11,18:50:00,3682.00,3683.00,3682.00,3683.00,121,0\r\n2006-01-11,18:51:00,3684.00,3684.00,3683.00,3683.00,167,0\r\n2006-01-11,18:52:00,3682.00,3683.00,3682.00,3682.00,179,0\r\n2006-01-11,18:53:00,3681.00,3683.00,3681.00,3683.00,84,0\r\n2006-01-11,18:54:00,3683.00,3685.00,3683.00,3685.00,408,0\r\n2006-01-11,18:55:00,3685.00,3686.00,3684.00,3685.00,627,0\r\n2006-01-11,18:56:00,3685.00,3685.00,3683.00,3683.00,129,0\r\n2006-01-11,18:57:00,3684.00,3684.00,3683.00,3683.00,178,0\r\n2006-01-11,18:58:00,3683.00,3684.00,3683.00,3683.00,258,0\r\n2006-01-11,18:59:00,3682.00,3683.00,3682.00,3683.00,104,0\r\n2006-01-11,19:00:00,3683.00,3683.00,3682.00,3682.00,109,0\r\n2006-01-11,19:01:00,3683.00,3683.00,3682.00,3682.00,331,0\r\n2006-01-11,19:02:00,3683.00,3683.00,3682.00,3683.00,98,0\r\n2006-01-11,19:03:00,3682.00,3682.00,3680.00,3680.00,288,0\r\n2006-01-11,19:04:00,3680.00,3680.00,3680.00,3680.00,311,0\r\n2006-01-11,19:05:00,3680.00,3680.00,3679.00,3680.00,176,0\r\n2006-01-11,19:06:00,3680.00,3680.00,3680.00,3680.00,63,0\r\n2006-01-11,19:07:00,3680.00,3681.00,3680.00,3680.00,221,0\r\n2006-01-11,19:08:00,3679.00,3679.00,3675.00,3676.00,940,0\r\n2006-01-11,19:09:00,3676.00,3676.00,3675.00,3675.00,703,0\r\n2006-01-11,19:10:00,3676.00,3676.00,3675.00,3675.00,162,0\r\n2006-01-11,19:11:00,3675.00,3676.00,3675.00,3676.00,590,0\r\n2006-01-11,19:12:00,3677.00,3677.00,3677.00,3677.00,5,0\r\n2006-01-11,19:13:00,3677.00,3677.00,3677.00,3677.00,448,0\r\n2006-01-11,19:14:00,3677.00,3677.00,3674.00,3674.00,802,0\r\n2006-01-11,19:15:00,3674.00,3675.00,3672.00,3673.00,440,0\r\n2006-01-11,19:16:00,3672.00,3673.00,3672.00,3673.00,290,0\r\n2006-01-11,19:17:00,3673.00,3675.00,3673.00,3674.00,522,0\r\n2006-01-11,19:18:00,3675.00,3675.00,3674.00,3674.00,122,0\r\n2006-01-11,19:19:00,3674.00,3675.00,3674.00,3675.00,196,0\r\n2006-01-11,19:20:00,3675.00,3675.00,3674.00,3674.00,38,0\r\n2006-01-11,19:21:00,3674.00,3675.00,3674.00,3674.00,247,0\r\n2006-01-11,19:22:00,3674.00,3674.00,3674.00,3674.00,93,0\r\n2006-01-11,19:23:00,3674.00,3675.00,3674.00,3675.00,277,0\r\n2006-01-11,19:24:00,3675.00,3675.00,3675.00,3675.00,206,0\r\n2006-01-11,19:25:00,3675.00,3675.00,3675.00,3675.00,110,0\r\n2006-01-11,19:26:00,3674.00,3674.00,3674.00,3674.00,137,0\r\n2006-01-11,19:27:00,3674.00,3674.00,3674.00,3674.00,98,0\r\n2006-01-11,19:28:00,3674.00,3675.00,3674.00,3674.00,177,0\r\n2006-01-11,19:29:00,3674.00,3674.00,3673.00,3673.00,70,0\r\n2006-01-11,19:30:00,3673.00,3673.00,3672.00,3672.00,243,0\r\n2006-01-11,19:31:00,3672.00,3674.00,3672.00,3673.00,110,0\r\n2006-01-11,19:32:00,3674.00,3674.00,3674.00,3674.00,1,0\r\n2006-01-11,19:33:00,3674.00,3675.00,3673.00,3674.00,245,0\r\n2006-01-11,19:34:00,3674.00,3674.00,3674.00,3674.00,78,0\r\n2006-01-11,19:35:00,3673.00,3673.00,3672.00,3672.00,235,0\r\n2006-01-11,19:36:00,3673.00,3674.00,3672.00,3674.00,473,0\r\n2006-01-11,19:37:00,3674.00,3675.00,3674.00,3674.00,239,0\r\n2006-01-11,19:38:00,3674.00,3675.00,3674.00,3675.00,102,0\r\n2006-01-11,19:39:00,3675.00,3675.00,3674.00,3674.00,128,0\r\n2006-01-11,19:40:00,3675.00,3676.00,3675.00,3676.00,205,0\r\n2006-01-11,19:41:00,3677.00,3679.00,3677.00,3678.00,676,0\r\n2006-01-11,19:42:00,3679.00,3680.00,3679.00,3680.00,449,0\r\n2006-01-11,19:43:00,3679.00,3680.00,3678.00,3678.00,348,0\r\n2006-01-11,19:44:00,3677.00,3678.00,3677.00,3677.00,99,0\r\n2006-01-11,19:45:00,3678.00,3678.00,3677.00,3678.00,330,0\r\n2006-01-11,19:46:00,3678.00,3678.00,3678.00,3678.00,234,0\r\n2006-01-11,19:47:00,3677.00,3677.00,3676.00,3676.00,41,0\r\n2006-01-11,19:48:00,3677.00,3677.00,3677.00,3677.00,52,0\r\n2006-01-11,19:49:00,3676.00,3676.00,3676.00,3676.00,64,0\r\n2006-01-11,19:50:00,3676.00,3676.00,3676.00,3676.00,182,0\r\n2006-01-11,19:51:00,3676.00,3677.00,3676.00,3676.00,137,0\r\n2006-01-11,19:52:00,3675.00,3676.00,3675.00,3675.00,192,0\r\n2006-01-11,19:53:00,3676.00,3676.00,3675.00,3676.00,86,0\r\n2006-01-11,19:54:00,3676.00,3676.00,3675.00,3675.00,64,0\r\n2006-01-11,19:55:00,3675.00,3675.00,3675.00,3675.00,144,0\r\n2006-01-11,19:56:00,3675.00,3675.00,3674.00,3675.00,35,0\r\n2006-01-11,19:57:00,3675.00,3675.00,3673.00,3674.00,289,0\r\n2006-01-11,19:58:00,3673.00,3674.00,3672.00,3674.00,489,0\r\n2006-01-11,19:59:00,3674.00,3674.00,3672.00,3673.00,427,0\r\n2006-01-11,20:00:00,3673.00,3676.00,3673.00,3675.00,363,0\r\n2006-01-11,20:01:00,3675.00,3675.00,3674.00,3675.00,73,0\r\n2006-01-11,20:02:00,3675.00,3675.00,3674.00,3674.00,68,0\r\n2006-01-11,20:03:00,3674.00,3675.00,3674.00,3674.00,182,0\r\n2006-01-11,20:04:00,3675.00,3675.00,3675.00,3675.00,5,0\r\n2006-01-11,20:05:00,3675.00,3675.00,3675.00,3675.00,100,0\r\n2006-01-11,20:06:00,3675.00,3675.00,3674.00,3674.00,39,0\r\n2006-01-11,20:07:00,3675.00,3675.00,3675.00,3675.00,4,0\r\n2006-01-11,20:08:00,3675.00,3675.00,3675.00,3675.00,7,0\r\n2006-01-11,20:10:00,3676.00,3678.00,3676.00,3677.00,169,0\r\n2006-01-11,20:11:00,3677.00,3680.00,3677.00,3679.00,396,0\r\n2006-01-11,20:12:00,3678.00,3679.00,3678.00,3679.00,103,0\r\n2006-01-11,20:13:00,3679.00,3679.00,3678.00,3679.00,117,0\r\n2006-01-11,20:14:00,3679.00,3681.00,3679.00,3681.00,913,0\r\n2006-01-11,20:15:00,3680.00,3681.00,3680.00,3681.00,177,0\r\n2006-01-11,20:16:00,3680.00,3680.00,3680.00,3680.00,230,0\r\n2006-01-11,20:17:00,3680.00,3681.00,3680.00,3681.00,209,0\r\n2006-01-11,20:18:00,3681.00,3682.00,3681.00,3682.00,113,0\r\n2006-01-11,20:19:00,3681.00,3681.00,3680.00,3680.00,141,0\r\n2006-01-11,20:20:00,3680.00,3680.00,3680.00,3680.00,317,0\r\n2006-01-11,20:22:00,3680.00,3681.00,3680.00,3681.00,217,0\r\n2006-01-11,20:23:00,3681.00,3682.00,3680.00,3681.00,65,0\r\n2006-01-11,20:24:00,3681.00,3682.00,3681.00,3681.00,19,0\r\n2006-01-11,20:25:00,3681.00,3682.00,3681.00,3682.00,87,0\r\n2006-01-11,20:26:00,3683.00,3683.00,3683.00,3683.00,47,0\r\n2006-01-11,20:27:00,3683.00,3683.00,3682.00,3682.00,52,0\r\n2006-01-11,20:28:00,3682.00,3683.00,3682.00,3683.00,69,0\r\n2006-01-11,20:29:00,3682.00,3682.00,3681.00,3681.00,57,0\r\n2006-01-11,20:30:00,3680.00,3681.00,3680.00,3681.00,124,0\r\n2006-01-11,20:31:00,3681.00,3682.00,3681.00,3682.00,51,0\r\n2006-01-11,20:32:00,3681.00,3681.00,3681.00,3681.00,151,0\r\n2006-01-11,20:33:00,3681.00,3681.00,3680.00,3680.00,118,0\r\n2006-01-11,20:34:00,3681.00,3681.00,3680.00,3680.00,83,0\r\n2006-01-11,20:35:00,3680.00,3680.00,3680.00,3680.00,75,0\r\n2006-01-11,20:36:00,3681.00,3681.00,3681.00,3681.00,219,0\r\n2006-01-11,20:37:00,3682.00,3683.00,3682.00,3683.00,151,0\r\n2006-01-11,20:39:00,3683.00,3683.00,3683.00,3683.00,43,0\r\n2006-01-11,20:40:00,3683.00,3683.00,3683.00,3683.00,50,0\r\n2006-01-11,20:41:00,3684.00,3684.00,3684.00,3684.00,18,0\r\n2006-01-11,20:42:00,3683.00,3686.00,3683.00,3685.00,729,0\r\n2006-01-11,20:43:00,3685.00,3686.00,3685.00,3685.00,569,0\r\n2006-01-11,20:44:00,3685.00,3686.00,3685.00,3686.00,41,0\r\n2006-01-11,20:45:00,3685.00,3686.00,3685.00,3685.00,287,0\r\n2006-01-11,20:46:00,3684.00,3684.00,3684.00,3684.00,34,0\r\n2006-01-11,20:48:00,3685.00,3685.00,3684.00,3684.00,110,0\r\n2006-01-11,20:49:00,3684.00,3684.00,3684.00,3684.00,2,0\r\n2006-01-11,20:50:00,3683.00,3683.00,3682.00,3683.00,112,0\r\n2006-01-11,20:52:00,3683.00,3683.00,3683.00,3683.00,314,0\r\n2006-01-11,20:53:00,3684.00,3684.00,3684.00,3684.00,5,0\r\n2006-01-11,20:54:00,3684.00,3684.00,3684.00,3684.00,1,0\r\n2006-01-11,20:55:00,3684.00,3686.00,3684.00,3686.00,400,0\r\n2006-01-11,20:56:00,3686.00,3689.00,3686.00,3688.00,588,0\r\n2006-01-11,20:57:00,3688.00,3688.00,3688.00,3688.00,168,0\r\n2006-01-11,20:58:00,3688.00,3689.00,3687.00,3687.00,99,0\r\n2006-01-11,20:59:00,3688.00,3688.00,3687.00,3687.00,29,0\r\n2006-01-11,21:00:00,3687.00,3687.00,3687.00,3687.00,127,0\r\n2006-01-11,21:01:00,3687.00,3687.00,3687.00,3687.00,30,0\r\n2006-01-11,21:02:00,3687.00,3687.00,3687.00,3687.00,28,0\r\n2006-01-11,21:04:00,3687.00,3687.00,3687.00,3687.00,102,0\r\n2006-01-11,21:05:00,3687.00,3687.00,3687.00,3687.00,8,0\r\n2006-01-11,21:06:00,3687.00,3687.00,3687.00,3687.00,7,0\r\n2006-01-11,21:08:00,3687.00,3687.00,3687.00,3687.00,12,0\r\n2006-01-11,21:09:00,3687.00,3687.00,3687.00,3687.00,412,0\r\n2006-01-11,21:10:00,3686.00,3686.00,3686.00,3686.00,5,0\r\n2006-01-11,21:12:00,3686.00,3686.00,3686.00,3686.00,4,0\r\n2006-01-11,21:13:00,3686.00,3687.00,3686.00,3687.00,351,0\r\n2006-01-11,21:14:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-01-11,21:15:00,3687.00,3687.00,3686.00,3687.00,138,0\r\n2006-01-11,21:16:00,3686.00,3687.00,3686.00,3687.00,57,0\r\n2006-01-11,21:18:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-01-11,21:19:00,3687.00,3688.00,3687.00,3687.00,33,0\r\n2006-01-11,21:20:00,3687.00,3687.00,3687.00,3687.00,6,0\r\n2006-01-11,21:21:00,3687.00,3687.00,3687.00,3687.00,34,0\r\n2006-01-11,21:23:00,3686.00,3686.00,3686.00,3686.00,92,0\r\n2006-01-11,21:25:00,3686.00,3686.00,3686.00,3686.00,185,0\r\n2006-01-11,21:26:00,3686.00,3686.00,3686.00,3686.00,58,0\r\n2006-01-11,21:27:00,3686.00,3686.00,3686.00,3686.00,71,0\r\n2006-01-11,21:28:00,3686.00,3687.00,3685.00,3686.00,69,0\r\n2006-01-11,21:29:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-11,21:30:00,3686.00,3686.00,3685.00,3685.00,13,0\r\n2006-01-11,21:31:00,3686.00,3687.00,3686.00,3686.00,30,0\r\n2006-01-11,21:32:00,3686.00,3686.00,3686.00,3686.00,31,0\r\n2006-01-11,21:33:00,3686.00,3686.00,3686.00,3686.00,64,0\r\n2006-01-11,21:34:00,3686.00,3686.00,3686.00,3686.00,33,0\r\n2006-01-11,21:37:00,3687.00,3687.00,3687.00,3687.00,15,0\r\n2006-01-11,21:40:00,3686.00,3686.00,3686.00,3686.00,15,0\r\n2006-01-11,21:41:00,3687.00,3687.00,3686.00,3686.00,11,0\r\n2006-01-11,21:42:00,3686.00,3686.00,3686.00,3686.00,10,0\r\n2006-01-11,21:43:00,3687.00,3687.00,3687.00,3687.00,3,0\r\n2006-01-11,21:44:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-01-11,21:45:00,3687.00,3687.00,3687.00,3687.00,50,0\r\n2006-01-11,21:46:00,3687.00,3687.00,3687.00,3687.00,125,0\r\n2006-01-11,21:48:00,3687.00,3687.00,3687.00,3687.00,5,0\r\n2006-01-11,21:49:00,3687.00,3688.00,3687.00,3687.00,25,0\r\n2006-01-11,21:50:00,3687.00,3687.00,3686.00,3686.00,100,0\r\n2006-01-11,21:51:00,3686.00,3686.00,3686.00,3686.00,91,0\r\n2006-01-11,21:52:00,3685.00,3685.00,3685.00,3685.00,21,0\r\n2006-01-11,21:53:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-11,21:54:00,3686.00,3686.00,3684.00,3684.00,66,0\r\n2006-01-11,21:55:00,3684.00,3685.00,3683.00,3683.00,47,0\r\n2006-01-11,21:56:00,3684.00,3684.00,3682.00,3683.00,75,0\r\n2006-01-11,21:57:00,3683.00,3685.00,3683.00,3685.00,82,0\r\n2006-01-11,21:58:00,3683.00,3686.00,3683.00,3686.00,131,0\r\n2006-01-11,21:59:00,3685.00,3686.00,3683.00,3684.00,91,0\r\n2006-01-11,22:00:00,3684.00,3686.00,3683.00,3685.00,390,0\r\n2006-01-12,09:01:00,3676.00,3676.00,3672.00,3673.00,5068,0\r\n2006-01-12,09:02:00,3673.00,3673.00,3669.00,3672.00,4076,0\r\n2006-01-12,09:03:00,3671.00,3674.00,3671.00,3673.00,1734,0\r\n2006-01-12,09:04:00,3672.00,3673.00,3672.00,3673.00,745,0\r\n2006-01-12,09:05:00,3672.00,3674.00,3672.00,3673.00,1152,0\r\n2006-01-12,09:06:00,3673.00,3674.00,3672.00,3673.00,1167,0\r\n2006-01-12,09:07:00,3672.00,3673.00,3670.00,3671.00,2005,0\r\n2006-01-12,09:08:00,3670.00,3673.00,3670.00,3671.00,948,0\r\n2006-01-12,09:09:00,3672.00,3676.00,3671.00,3675.00,4600,0\r\n2006-01-12,09:10:00,3675.00,3677.00,3674.00,3676.00,1710,0\r\n2006-01-12,09:11:00,3676.00,3678.00,3676.00,3678.00,1188,0\r\n2006-01-12,09:12:00,3678.00,3680.00,3677.00,3678.00,2224,0\r\n2006-01-12,09:13:00,3679.00,3679.00,3678.00,3679.00,826,0\r\n2006-01-12,09:14:00,3679.00,3680.00,3678.00,3679.00,1192,0\r\n2006-01-12,09:15:00,3678.00,3680.00,3678.00,3680.00,647,0\r\n2006-01-12,09:16:00,3679.00,3680.00,3678.00,3679.00,2415,0\r\n2006-01-12,09:17:00,3679.00,3681.00,3678.00,3680.00,2228,0\r\n2006-01-12,09:18:00,3680.00,3681.00,3680.00,3681.00,1244,0\r\n2006-01-12,09:19:00,3680.00,3681.00,3680.00,3681.00,578,0\r\n2006-01-12,09:20:00,3680.00,3682.00,3679.00,3680.00,1335,0\r\n2006-01-12,09:21:00,3680.00,3682.00,3679.00,3682.00,1447,0\r\n2006-01-12,09:22:00,3682.00,3682.00,3680.00,3681.00,1040,0\r\n2006-01-12,09:23:00,3681.00,3682.00,3680.00,3682.00,624,0\r\n2006-01-12,09:24:00,3681.00,3681.00,3679.00,3680.00,1971,0\r\n2006-01-12,09:25:00,3680.00,3681.00,3679.00,3680.00,700,0\r\n2006-01-12,09:26:00,3679.00,3681.00,3679.00,3680.00,508,0\r\n2006-01-12,09:27:00,3679.00,3681.00,3679.00,3680.00,248,0\r\n2006-01-12,09:28:00,3681.00,3682.00,3680.00,3681.00,424,0\r\n2006-01-12,09:29:00,3681.00,3681.00,3678.00,3679.00,1529,0\r\n2006-01-12,09:30:00,3678.00,3680.00,3678.00,3680.00,617,0\r\n2006-01-12,09:31:00,3680.00,3680.00,3677.00,3677.00,664,0\r\n2006-01-12,09:32:00,3678.00,3680.00,3678.00,3679.00,610,0\r\n2006-01-12,09:33:00,3679.00,3680.00,3678.00,3678.00,295,0\r\n2006-01-12,09:34:00,3679.00,3679.00,3677.00,3678.00,778,0\r\n2006-01-12,09:35:00,3678.00,3678.00,3677.00,3677.00,422,0\r\n2006-01-12,09:36:00,3677.00,3677.00,3676.00,3677.00,1423,0\r\n2006-01-12,09:37:00,3677.00,3678.00,3677.00,3677.00,688,0\r\n2006-01-12,09:38:00,3678.00,3678.00,3677.00,3678.00,264,0\r\n2006-01-12,09:39:00,3677.00,3678.00,3676.00,3677.00,1049,0\r\n2006-01-12,09:40:00,3678.00,3678.00,3677.00,3678.00,347,0\r\n2006-01-12,09:41:00,3679.00,3679.00,3677.00,3677.00,602,0\r\n2006-01-12,09:42:00,3678.00,3679.00,3677.00,3679.00,122,0\r\n2006-01-12,09:43:00,3678.00,3679.00,3676.00,3676.00,980,0\r\n2006-01-12,09:44:00,3677.00,3677.00,3676.00,3676.00,128,0\r\n2006-01-12,09:45:00,3676.00,3678.00,3676.00,3678.00,856,0\r\n2006-01-12,09:46:00,3678.00,3679.00,3677.00,3677.00,1271,0\r\n2006-01-12,09:47:00,3678.00,3678.00,3676.00,3677.00,458,0\r\n2006-01-12,09:48:00,3677.00,3677.00,3676.00,3677.00,150,0\r\n2006-01-12,09:49:00,3676.00,3678.00,3676.00,3676.00,663,0\r\n2006-01-12,09:50:00,3676.00,3677.00,3675.00,3676.00,650,0\r\n2006-01-12,09:51:00,3676.00,3676.00,3675.00,3676.00,522,0\r\n2006-01-12,09:52:00,3676.00,3676.00,3675.00,3676.00,262,0\r\n2006-01-12,09:53:00,3677.00,3677.00,3675.00,3675.00,254,0\r\n2006-01-12,09:54:00,3676.00,3676.00,3674.00,3675.00,1466,0\r\n2006-01-12,09:55:00,3674.00,3675.00,3673.00,3675.00,880,0\r\n2006-01-12,09:56:00,3674.00,3675.00,3673.00,3674.00,518,0\r\n2006-01-12,09:57:00,3674.00,3675.00,3674.00,3674.00,438,0\r\n2006-01-12,09:58:00,3674.00,3675.00,3674.00,3675.00,120,0\r\n2006-01-12,09:59:00,3675.00,3675.00,3674.00,3674.00,478,0\r\n2006-01-12,10:00:00,3674.00,3675.00,3674.00,3674.00,48,0\r\n2006-01-12,10:01:00,3675.00,3675.00,3674.00,3674.00,946,0\r\n2006-01-12,10:02:00,3675.00,3676.00,3674.00,3676.00,355,0\r\n2006-01-12,10:03:00,3675.00,3676.00,3675.00,3675.00,76,0\r\n2006-01-12,10:04:00,3675.00,3675.00,3674.00,3674.00,242,0\r\n2006-01-12,10:05:00,3675.00,3675.00,3674.00,3674.00,11,0\r\n2006-01-12,10:06:00,3674.00,3674.00,3673.00,3673.00,629,0\r\n2006-01-12,10:07:00,3674.00,3674.00,3672.00,3673.00,469,0\r\n2006-01-12,10:08:00,3673.00,3674.00,3671.00,3672.00,797,0\r\n2006-01-12,10:09:00,3673.00,3673.00,3672.00,3673.00,996,0\r\n2006-01-12,10:10:00,3673.00,3674.00,3673.00,3674.00,320,0\r\n2006-01-12,10:11:00,3674.00,3675.00,3674.00,3674.00,37,0\r\n2006-01-12,10:12:00,3675.00,3675.00,3673.00,3673.00,415,0\r\n2006-01-12,10:13:00,3674.00,3674.00,3673.00,3673.00,511,0\r\n2006-01-12,10:14:00,3673.00,3674.00,3673.00,3674.00,505,0\r\n2006-01-12,10:15:00,3675.00,3675.00,3674.00,3674.00,123,0\r\n2006-01-12,10:16:00,3674.00,3676.00,3674.00,3675.00,913,0\r\n2006-01-12,10:17:00,3675.00,3677.00,3675.00,3677.00,165,0\r\n2006-01-12,10:18:00,3676.00,3677.00,3676.00,3676.00,608,0\r\n2006-01-12,10:19:00,3677.00,3677.00,3676.00,3676.00,425,0\r\n2006-01-12,10:20:00,3677.00,3677.00,3676.00,3677.00,49,0\r\n2006-01-12,10:21:00,3676.00,3677.00,3675.00,3676.00,529,0\r\n2006-01-12,10:22:00,3676.00,3677.00,3675.00,3677.00,431,0\r\n2006-01-12,10:23:00,3676.00,3676.00,3675.00,3676.00,159,0\r\n2006-01-12,10:24:00,3675.00,3676.00,3675.00,3676.00,25,0\r\n2006-01-12,10:25:00,3676.00,3676.00,3675.00,3676.00,74,0\r\n2006-01-12,10:26:00,3675.00,3676.00,3675.00,3676.00,214,0\r\n2006-01-12,10:27:00,3676.00,3676.00,3675.00,3676.00,2134,0\r\n2006-01-12,10:28:00,3676.00,3676.00,3675.00,3676.00,29,0\r\n2006-01-12,10:29:00,3676.00,3677.00,3676.00,3676.00,997,0\r\n2006-01-12,10:30:00,3676.00,3677.00,3676.00,3677.00,129,0\r\n2006-01-12,10:31:00,3676.00,3677.00,3676.00,3677.00,28,0\r\n2006-01-12,10:32:00,3677.00,3677.00,3676.00,3677.00,96,0\r\n2006-01-12,10:33:00,3676.00,3677.00,3676.00,3677.00,1049,0\r\n2006-01-12,10:34:00,3676.00,3677.00,3675.00,3676.00,1306,0\r\n2006-01-12,10:35:00,3676.00,3677.00,3676.00,3677.00,352,0\r\n2006-01-12,10:36:00,3677.00,3677.00,3676.00,3677.00,34,0\r\n2006-01-12,10:37:00,3677.00,3677.00,3676.00,3677.00,151,0\r\n2006-01-12,10:38:00,3677.00,3678.00,3677.00,3678.00,367,0\r\n2006-01-12,10:39:00,3678.00,3679.00,3678.00,3679.00,901,0\r\n2006-01-12,10:40:00,3679.00,3680.00,3678.00,3679.00,491,0\r\n2006-01-12,10:41:00,3678.00,3679.00,3678.00,3679.00,234,0\r\n2006-01-12,10:42:00,3679.00,3680.00,3678.00,3678.00,1164,0\r\n2006-01-12,10:43:00,3678.00,3678.00,3677.00,3678.00,250,0\r\n2006-01-12,10:44:00,3678.00,3678.00,3677.00,3678.00,694,0\r\n2006-01-12,10:45:00,3678.00,3678.00,3677.00,3678.00,139,0\r\n2006-01-12,10:46:00,3678.00,3678.00,3677.00,3678.00,338,0\r\n2006-01-12,10:47:00,3677.00,3678.00,3677.00,3678.00,107,0\r\n2006-01-12,10:48:00,3678.00,3678.00,3678.00,3678.00,176,0\r\n2006-01-12,10:49:00,3679.00,3679.00,3678.00,3679.00,56,0\r\n2006-01-12,10:50:00,3678.00,3679.00,3678.00,3678.00,131,0\r\n2006-01-12,10:51:00,3678.00,3678.00,3677.00,3678.00,170,0\r\n2006-01-12,10:52:00,3678.00,3679.00,3678.00,3678.00,80,0\r\n2006-01-12,10:53:00,3678.00,3678.00,3678.00,3678.00,70,0\r\n2006-01-12,10:54:00,3677.00,3678.00,3677.00,3678.00,27,0\r\n2006-01-12,10:55:00,3678.00,3678.00,3678.00,3678.00,217,0\r\n2006-01-12,10:56:00,3677.00,3678.00,3677.00,3677.00,30,0\r\n2006-01-12,10:57:00,3678.00,3679.00,3678.00,3678.00,206,0\r\n2006-01-12,10:58:00,3678.00,3678.00,3677.00,3678.00,236,0\r\n2006-01-12,10:59:00,3678.00,3678.00,3678.00,3678.00,157,0\r\n2006-01-12,11:00:00,3678.00,3679.00,3678.00,3679.00,462,0\r\n2006-01-12,11:01:00,3679.00,3679.00,3678.00,3679.00,212,0\r\n2006-01-12,11:02:00,3678.00,3679.00,3678.00,3679.00,207,0\r\n2006-01-12,11:03:00,3679.00,3679.00,3677.00,3677.00,265,0\r\n2006-01-12,11:04:00,3678.00,3678.00,3677.00,3678.00,306,0\r\n2006-01-12,11:05:00,3677.00,3678.00,3677.00,3678.00,2155,0\r\n2006-01-12,11:06:00,3677.00,3678.00,3677.00,3677.00,2145,0\r\n2006-01-12,11:07:00,3678.00,3678.00,3677.00,3678.00,1078,0\r\n2006-01-12,11:08:00,3678.00,3678.00,3677.00,3678.00,325,0\r\n2006-01-12,11:09:00,3678.00,3678.00,3677.00,3678.00,163,0\r\n2006-01-12,11:10:00,3678.00,3678.00,3677.00,3678.00,796,0\r\n2006-01-12,11:11:00,3678.00,3678.00,3677.00,3677.00,843,0\r\n2006-01-12,11:12:00,3678.00,3678.00,3676.00,3677.00,508,0\r\n2006-01-12,11:13:00,3677.00,3677.00,3675.00,3676.00,1505,0\r\n2006-01-12,11:14:00,3675.00,3676.00,3674.00,3675.00,2638,0\r\n2006-01-12,11:15:00,3674.00,3675.00,3673.00,3673.00,988,0\r\n2006-01-12,11:16:00,3673.00,3674.00,3672.00,3673.00,3713,0\r\n2006-01-12,11:17:00,3673.00,3674.00,3673.00,3674.00,473,0\r\n2006-01-12,11:18:00,3674.00,3674.00,3673.00,3674.00,39,0\r\n2006-01-12,11:19:00,3673.00,3674.00,3672.00,3673.00,1454,0\r\n2006-01-12,11:20:00,3673.00,3674.00,3672.00,3673.00,2017,0\r\n2006-01-12,11:21:00,3673.00,3675.00,3673.00,3675.00,872,0\r\n2006-01-12,11:22:00,3674.00,3676.00,3674.00,3675.00,688,0\r\n2006-01-12,11:23:00,3676.00,3676.00,3675.00,3675.00,1869,0\r\n2006-01-12,11:24:00,3675.00,3676.00,3675.00,3675.00,2322,0\r\n2006-01-12,11:25:00,3676.00,3677.00,3675.00,3677.00,411,0\r\n2006-01-12,11:26:00,3676.00,3677.00,3675.00,3676.00,220,0\r\n2006-01-12,11:27:00,3675.00,3676.00,3675.00,3676.00,5062,0\r\n2006-01-12,11:28:00,3676.00,3676.00,3675.00,3676.00,24,0\r\n2006-01-12,11:29:00,3676.00,3678.00,3676.00,3677.00,748,0\r\n2006-01-12,11:30:00,3676.00,3677.00,3676.00,3676.00,614,0\r\n2006-01-12,11:31:00,3676.00,3677.00,3675.00,3676.00,187,0\r\n2006-01-12,11:32:00,3675.00,3676.00,3675.00,3676.00,255,0\r\n2006-01-12,11:33:00,3676.00,3676.00,3675.00,3676.00,1090,0\r\n2006-01-12,11:34:00,3675.00,3676.00,3675.00,3676.00,2,0\r\n2006-01-12,11:35:00,3675.00,3675.00,3675.00,3675.00,5,0\r\n2006-01-12,11:36:00,3675.00,3676.00,3675.00,3675.00,16,0\r\n2006-01-12,11:37:00,3675.00,3676.00,3675.00,3675.00,332,0\r\n2006-01-12,11:38:00,3675.00,3676.00,3675.00,3676.00,842,0\r\n2006-01-12,11:39:00,3675.00,3676.00,3675.00,3676.00,32,0\r\n2006-01-12,11:40:00,3676.00,3676.00,3675.00,3675.00,62,0\r\n2006-01-12,11:41:00,3676.00,3676.00,3675.00,3675.00,470,0\r\n2006-01-12,11:42:00,3675.00,3676.00,3674.00,3675.00,322,0\r\n2006-01-12,11:43:00,3675.00,3676.00,3675.00,3676.00,12,0\r\n2006-01-12,11:44:00,3676.00,3676.00,3675.00,3676.00,2028,0\r\n2006-01-12,11:45:00,3676.00,3676.00,3675.00,3676.00,117,0\r\n2006-01-12,11:46:00,3675.00,3676.00,3675.00,3675.00,155,0\r\n2006-01-12,11:47:00,3675.00,3676.00,3675.00,3676.00,520,0\r\n2006-01-12,11:48:00,3677.00,3677.00,3676.00,3676.00,336,0\r\n2006-01-12,11:49:00,3676.00,3676.00,3675.00,3676.00,26,0\r\n2006-01-12,11:50:00,3675.00,3675.00,3675.00,3675.00,3,0\r\n2006-01-12,11:51:00,3676.00,3676.00,3675.00,3675.00,852,0\r\n2006-01-12,11:52:00,3676.00,3676.00,3675.00,3675.00,54,0\r\n2006-01-12,11:53:00,3676.00,3676.00,3676.00,3676.00,25,0\r\n2006-01-12,11:54:00,3675.00,3676.00,3675.00,3675.00,38,0\r\n2006-01-12,11:55:00,3675.00,3676.00,3675.00,3675.00,429,0\r\n2006-01-12,11:56:00,3675.00,3675.00,3675.00,3675.00,204,0\r\n2006-01-12,11:57:00,3676.00,3676.00,3675.00,3675.00,29,0\r\n2006-01-12,11:58:00,3675.00,3676.00,3675.00,3675.00,87,0\r\n2006-01-12,11:59:00,3676.00,3677.00,3675.00,3676.00,789,0\r\n2006-01-12,12:00:00,3676.00,3677.00,3676.00,3677.00,47,0\r\n2006-01-12,12:01:00,3676.00,3677.00,3676.00,3677.00,1104,0\r\n2006-01-12,12:02:00,3677.00,3677.00,3676.00,3676.00,58,0\r\n2006-01-12,12:03:00,3677.00,3677.00,3676.00,3677.00,122,0\r\n2006-01-12,12:04:00,3677.00,3677.00,3676.00,3676.00,15,0\r\n2006-01-12,12:05:00,3677.00,3677.00,3676.00,3676.00,4,0\r\n2006-01-12,12:06:00,3676.00,3676.00,3675.00,3676.00,900,0\r\n2006-01-12,12:07:00,3676.00,3676.00,3675.00,3676.00,944,0\r\n2006-01-12,12:08:00,3675.00,3676.00,3675.00,3676.00,92,0\r\n2006-01-12,12:09:00,3675.00,3675.00,3674.00,3674.00,1221,0\r\n2006-01-12,12:10:00,3675.00,3675.00,3674.00,3675.00,682,0\r\n2006-01-12,12:11:00,3675.00,3676.00,3674.00,3676.00,1856,0\r\n2006-01-12,12:12:00,3675.00,3675.00,3674.00,3675.00,80,0\r\n2006-01-12,12:13:00,3675.00,3675.00,3675.00,3675.00,528,0\r\n2006-01-12,12:14:00,3675.00,3676.00,3675.00,3676.00,4,0\r\n2006-01-12,12:15:00,3676.00,3677.00,3676.00,3677.00,303,0\r\n2006-01-12,12:16:00,3676.00,3677.00,3676.00,3676.00,1114,0\r\n2006-01-12,12:17:00,3676.00,3677.00,3676.00,3676.00,45,0\r\n2006-01-12,12:18:00,3676.00,3676.00,3675.00,3675.00,537,0\r\n2006-01-12,12:19:00,3675.00,3676.00,3675.00,3676.00,97,0\r\n2006-01-12,12:20:00,3675.00,3675.00,3674.00,3674.00,369,0\r\n2006-01-12,12:21:00,3674.00,3675.00,3673.00,3674.00,336,0\r\n2006-01-12,12:22:00,3674.00,3675.00,3672.00,3672.00,868,0\r\n2006-01-12,12:23:00,3673.00,3674.00,3673.00,3674.00,69,0\r\n2006-01-12,12:24:00,3674.00,3674.00,3672.00,3673.00,1027,0\r\n2006-01-12,12:25:00,3673.00,3673.00,3671.00,3672.00,1105,0\r\n2006-01-12,12:26:00,3672.00,3672.00,3671.00,3672.00,873,0\r\n2006-01-12,12:27:00,3672.00,3672.00,3671.00,3672.00,532,0\r\n2006-01-12,12:28:00,3672.00,3672.00,3672.00,3672.00,22,0\r\n2006-01-12,12:29:00,3671.00,3671.00,3670.00,3671.00,1651,0\r\n2006-01-12,12:30:00,3672.00,3672.00,3671.00,3672.00,629,0\r\n2006-01-12,12:31:00,3672.00,3672.00,3672.00,3672.00,5718,0\r\n2006-01-12,12:32:00,3672.00,3672.00,3672.00,3672.00,53,0\r\n2006-01-12,12:33:00,3671.00,3672.00,3671.00,3671.00,135,0\r\n2006-01-12,12:34:00,3672.00,3672.00,3671.00,3671.00,266,0\r\n2006-01-12,12:35:00,3672.00,3672.00,3671.00,3671.00,367,0\r\n2006-01-12,12:36:00,3672.00,3672.00,3671.00,3671.00,71,0\r\n2006-01-12,12:37:00,3672.00,3672.00,3672.00,3672.00,11492,0\r\n2006-01-12,12:38:00,3672.00,3672.00,3672.00,3672.00,553,0\r\n2006-01-12,12:39:00,3671.00,3672.00,3671.00,3671.00,484,0\r\n2006-01-12,12:40:00,3671.00,3672.00,3671.00,3672.00,33,0\r\n2006-01-12,12:41:00,3671.00,3672.00,3671.00,3672.00,320,0\r\n2006-01-12,12:42:00,3672.00,3672.00,3671.00,3671.00,57,0\r\n2006-01-12,12:43:00,3672.00,3672.00,3671.00,3672.00,847,0\r\n2006-01-12,12:44:00,3672.00,3672.00,3671.00,3671.00,10,0\r\n2006-01-12,12:45:00,3672.00,3672.00,3671.00,3672.00,267,0\r\n2006-01-12,12:46:00,3671.00,3672.00,3671.00,3672.00,20,0\r\n2006-01-12,12:47:00,3671.00,3672.00,3671.00,3672.00,155,0\r\n2006-01-12,12:48:00,3672.00,3672.00,3672.00,3672.00,400,0\r\n2006-01-12,12:49:00,3672.00,3673.00,3672.00,3673.00,28,0\r\n2006-01-12,12:50:00,3673.00,3673.00,3672.00,3672.00,91,0\r\n2006-01-12,12:51:00,3672.00,3672.00,3672.00,3672.00,232,0\r\n2006-01-12,12:52:00,3672.00,3673.00,3672.00,3673.00,177,0\r\n2006-01-12,12:53:00,3672.00,3673.00,3672.00,3673.00,12,0\r\n2006-01-12,12:54:00,3672.00,3673.00,3672.00,3673.00,43,0\r\n2006-01-12,12:55:00,3673.00,3673.00,3673.00,3673.00,267,0\r\n2006-01-12,12:56:00,3673.00,3673.00,3672.00,3673.00,452,0\r\n2006-01-12,12:57:00,3673.00,3673.00,3672.00,3673.00,87,0\r\n2006-01-12,12:58:00,3672.00,3673.00,3672.00,3673.00,43,0\r\n2006-01-12,12:59:00,3672.00,3673.00,3672.00,3672.00,13,0\r\n2006-01-12,13:00:00,3673.00,3673.00,3672.00,3673.00,24,0\r\n2006-01-12,13:01:00,3672.00,3673.00,3672.00,3673.00,121,0\r\n2006-01-12,13:02:00,3672.00,3672.00,3672.00,3672.00,398,0\r\n2006-01-12,13:03:00,3672.00,3672.00,3672.00,3672.00,23,0\r\n2006-01-12,13:04:00,3672.00,3673.00,3672.00,3672.00,212,0\r\n2006-01-12,13:05:00,3672.00,3672.00,3672.00,3672.00,40,0\r\n2006-01-12,13:06:00,3671.00,3672.00,3671.00,3672.00,87,0\r\n2006-01-12,13:07:00,3671.00,3672.00,3671.00,3671.00,120,0\r\n2006-01-12,13:08:00,3672.00,3672.00,3671.00,3671.00,363,0\r\n2006-01-12,13:09:00,3671.00,3672.00,3671.00,3672.00,93,0\r\n2006-01-12,13:10:00,3671.00,3672.00,3671.00,3672.00,53,0\r\n2006-01-12,13:11:00,3671.00,3672.00,3670.00,3670.00,154,0\r\n2006-01-12,13:12:00,3670.00,3671.00,3670.00,3671.00,331,0\r\n2006-01-12,13:13:00,3671.00,3671.00,3670.00,3671.00,5,0\r\n2006-01-12,13:14:00,3670.00,3670.00,3669.00,3670.00,809,0\r\n2006-01-12,13:15:00,3670.00,3670.00,3668.00,3670.00,1110,0\r\n2006-01-12,13:16:00,3669.00,3670.00,3669.00,3670.00,508,0\r\n2006-01-12,13:17:00,3669.00,3670.00,3669.00,3669.00,527,0\r\n2006-01-12,13:18:00,3670.00,3670.00,3669.00,3670.00,502,0\r\n2006-01-12,13:19:00,3669.00,3670.00,3669.00,3670.00,4,0\r\n2006-01-12,13:20:00,3669.00,3670.00,3669.00,3670.00,6,0\r\n2006-01-12,13:21:00,3670.00,3670.00,3669.00,3670.00,179,0\r\n2006-01-12,13:22:00,3670.00,3671.00,3670.00,3671.00,762,0\r\n2006-01-12,13:23:00,3671.00,3671.00,3670.00,3671.00,42,0\r\n2006-01-12,13:24:00,3671.00,3671.00,3670.00,3671.00,69,0\r\n2006-01-12,13:25:00,3670.00,3671.00,3670.00,3671.00,386,0\r\n2006-01-12,13:26:00,3671.00,3671.00,3671.00,3671.00,28,0\r\n2006-01-12,13:27:00,3670.00,3671.00,3670.00,3671.00,355,0\r\n2006-01-12,13:28:00,3671.00,3671.00,3670.00,3671.00,350,0\r\n2006-01-12,13:29:00,3670.00,3671.00,3670.00,3670.00,208,0\r\n2006-01-12,13:30:00,3670.00,3670.00,3670.00,3670.00,7,0\r\n2006-01-12,13:31:00,3670.00,3671.00,3670.00,3670.00,363,0\r\n2006-01-12,13:32:00,3671.00,3671.00,3670.00,3670.00,229,0\r\n2006-01-12,13:33:00,3670.00,3671.00,3669.00,3671.00,92,0\r\n2006-01-12,13:35:00,3670.00,3671.00,3670.00,3670.00,12,0\r\n2006-01-12,13:36:00,3671.00,3671.00,3670.00,3671.00,10,0\r\n2006-01-12,13:37:00,3671.00,3671.00,3670.00,3670.00,113,0\r\n2006-01-12,13:38:00,3671.00,3671.00,3671.00,3671.00,56,0\r\n2006-01-12,13:39:00,3670.00,3671.00,3670.00,3671.00,48,0\r\n2006-01-12,13:40:00,3670.00,3671.00,3670.00,3670.00,234,0\r\n2006-01-12,13:41:00,3671.00,3671.00,3669.00,3669.00,174,0\r\n2006-01-12,13:42:00,3670.00,3670.00,3670.00,3670.00,118,0\r\n2006-01-12,13:43:00,3670.00,3670.00,3670.00,3670.00,137,0\r\n2006-01-12,13:44:00,3670.00,3670.00,3669.00,3670.00,80,0\r\n2006-01-12,13:45:00,3670.00,3670.00,3670.00,3670.00,4,0\r\n2006-01-12,13:46:00,3670.00,3671.00,3670.00,3670.00,343,0\r\n2006-01-12,13:47:00,3671.00,3671.00,3670.00,3671.00,28,0\r\n2006-01-12,13:48:00,3670.00,3671.00,3670.00,3670.00,274,0\r\n2006-01-12,13:49:00,3669.00,3670.00,3669.00,3670.00,124,0\r\n2006-01-12,13:50:00,3670.00,3670.00,3669.00,3670.00,613,0\r\n2006-01-12,13:51:00,3670.00,3670.00,3669.00,3670.00,248,0\r\n2006-01-12,13:52:00,3670.00,3671.00,3670.00,3671.00,82,0\r\n2006-01-12,13:53:00,3670.00,3672.00,3670.00,3672.00,249,0\r\n2006-01-12,13:54:00,3672.00,3672.00,3671.00,3671.00,202,0\r\n2006-01-12,13:55:00,3671.00,3671.00,3670.00,3671.00,292,0\r\n2006-01-12,13:56:00,3671.00,3671.00,3670.00,3671.00,3,0\r\n2006-01-12,13:57:00,3670.00,3671.00,3670.00,3671.00,120,0\r\n2006-01-12,13:58:00,3671.00,3672.00,3671.00,3671.00,390,0\r\n2006-01-12,13:59:00,3671.00,3671.00,3670.00,3670.00,38,0\r\n2006-01-12,14:00:00,3670.00,3671.00,3670.00,3671.00,59,0\r\n2006-01-12,14:01:00,3670.00,3671.00,3670.00,3671.00,123,0\r\n2006-01-12,14:02:00,3670.00,3672.00,3670.00,3672.00,483,0\r\n2006-01-12,14:03:00,3672.00,3672.00,3672.00,3672.00,5,0\r\n2006-01-12,14:04:00,3671.00,3671.00,3670.00,3671.00,369,0\r\n2006-01-12,14:05:00,3671.00,3672.00,3671.00,3671.00,206,0\r\n2006-01-12,14:06:00,3672.00,3672.00,3671.00,3671.00,91,0\r\n2006-01-12,14:07:00,3671.00,3672.00,3671.00,3671.00,8,0\r\n2006-01-12,14:08:00,3671.00,3671.00,3671.00,3671.00,25,0\r\n2006-01-12,14:09:00,3671.00,3671.00,3671.00,3671.00,139,0\r\n2006-01-12,14:10:00,3671.00,3672.00,3671.00,3672.00,62,0\r\n2006-01-12,14:11:00,3672.00,3673.00,3672.00,3672.00,588,0\r\n2006-01-12,14:12:00,3672.00,3673.00,3672.00,3673.00,137,0\r\n2006-01-12,14:13:00,3673.00,3674.00,3673.00,3673.00,368,0\r\n2006-01-12,14:14:00,3673.00,3674.00,3673.00,3673.00,474,0\r\n2006-01-12,14:15:00,3674.00,3674.00,3673.00,3674.00,227,0\r\n2006-01-12,14:16:00,3673.00,3674.00,3673.00,3674.00,160,0\r\n2006-01-12,14:17:00,3674.00,3674.00,3673.00,3673.00,28,0\r\n2006-01-12,14:18:00,3673.00,3673.00,3673.00,3673.00,60,0\r\n2006-01-12,14:19:00,3673.00,3674.00,3673.00,3673.00,441,0\r\n2006-01-12,14:21:00,3673.00,3673.00,3672.00,3672.00,12,0\r\n2006-01-12,14:22:00,3672.00,3673.00,3672.00,3672.00,78,0\r\n2006-01-12,14:23:00,3672.00,3673.00,3672.00,3673.00,4,0\r\n2006-01-12,14:24:00,3672.00,3672.00,3672.00,3672.00,32,0\r\n2006-01-12,14:25:00,3673.00,3673.00,3672.00,3672.00,48,0\r\n2006-01-12,14:26:00,3672.00,3673.00,3672.00,3673.00,1395,0\r\n2006-01-12,14:27:00,3673.00,3673.00,3673.00,3673.00,1070,0\r\n2006-01-12,14:28:00,3673.00,3674.00,3673.00,3674.00,261,0\r\n2006-01-12,14:29:00,3673.00,3674.00,3673.00,3674.00,15,0\r\n2006-01-12,14:30:00,3674.00,3675.00,3673.00,3673.00,1696,0\r\n2006-01-12,14:31:00,3673.00,3677.00,3673.00,3677.00,3132,0\r\n2006-01-12,14:32:00,3676.00,3676.00,3675.00,3676.00,763,0\r\n2006-01-12,14:33:00,3675.00,3676.00,3674.00,3675.00,380,0\r\n2006-01-12,14:34:00,3674.00,3676.00,3674.00,3675.00,389,0\r\n2006-01-12,14:35:00,3675.00,3675.00,3674.00,3675.00,70,0\r\n2006-01-12,14:36:00,3675.00,3675.00,3674.00,3675.00,32,0\r\n2006-01-12,14:37:00,3674.00,3675.00,3673.00,3675.00,472,0\r\n2006-01-12,14:38:00,3674.00,3676.00,3674.00,3676.00,615,0\r\n2006-01-12,14:39:00,3676.00,3677.00,3674.00,3675.00,1169,0\r\n2006-01-12,14:40:00,3675.00,3675.00,3673.00,3674.00,308,0\r\n2006-01-12,14:41:00,3673.00,3674.00,3673.00,3674.00,305,0\r\n2006-01-12,14:42:00,3673.00,3674.00,3673.00,3673.00,193,0\r\n2006-01-12,14:43:00,3673.00,3674.00,3673.00,3674.00,576,0\r\n2006-01-12,14:44:00,3674.00,3675.00,3673.00,3673.00,456,0\r\n2006-01-12,14:45:00,3673.00,3674.00,3673.00,3673.00,145,0\r\n2006-01-12,14:46:00,3673.00,3674.00,3673.00,3674.00,202,0\r\n2006-01-12,14:47:00,3674.00,3675.00,3674.00,3675.00,369,0\r\n2006-01-12,14:48:00,3674.00,3675.00,3674.00,3675.00,25,0\r\n2006-01-12,14:49:00,3674.00,3674.00,3673.00,3674.00,240,0\r\n2006-01-12,14:50:00,3673.00,3674.00,3673.00,3674.00,1320,0\r\n2006-01-12,14:51:00,3674.00,3675.00,3674.00,3675.00,129,0\r\n2006-01-12,14:52:00,3675.00,3675.00,3674.00,3674.00,423,0\r\n2006-01-12,14:53:00,3674.00,3674.00,3674.00,3674.00,72,0\r\n2006-01-12,14:54:00,3674.00,3675.00,3674.00,3675.00,371,0\r\n2006-01-12,14:55:00,3674.00,3675.00,3674.00,3675.00,148,0\r\n2006-01-12,14:56:00,3674.00,3676.00,3674.00,3676.00,387,0\r\n2006-01-12,14:57:00,3676.00,3677.00,3675.00,3676.00,1373,0\r\n2006-01-12,14:58:00,3676.00,3677.00,3676.00,3677.00,94,0\r\n2006-01-12,14:59:00,3676.00,3677.00,3676.00,3677.00,83,0\r\n2006-01-12,15:00:00,3676.00,3676.00,3676.00,3676.00,311,0\r\n2006-01-12,15:01:00,3676.00,3677.00,3675.00,3676.00,214,0\r\n2006-01-12,15:02:00,3676.00,3678.00,3676.00,3678.00,1154,0\r\n2006-01-12,15:03:00,3677.00,3678.00,3676.00,3678.00,586,0\r\n2006-01-12,15:04:00,3678.00,3678.00,3677.00,3678.00,458,0\r\n2006-01-12,15:05:00,3678.00,3678.00,3677.00,3677.00,54,0\r\n2006-01-12,15:06:00,3678.00,3678.00,3676.00,3677.00,283,0\r\n2006-01-12,15:07:00,3676.00,3677.00,3676.00,3677.00,858,0\r\n2006-01-12,15:08:00,3676.00,3677.00,3676.00,3677.00,29,0\r\n2006-01-12,15:09:00,3676.00,3677.00,3676.00,3676.00,523,0\r\n2006-01-12,15:10:00,3677.00,3677.00,3676.00,3677.00,11,0\r\n2006-01-12,15:11:00,3676.00,3677.00,3676.00,3677.00,66,0\r\n2006-01-12,15:12:00,3676.00,3677.00,3676.00,3677.00,64,0\r\n2006-01-12,15:13:00,3677.00,3677.00,3675.00,3676.00,258,0\r\n2006-01-12,15:14:00,3676.00,3677.00,3676.00,3676.00,447,0\r\n2006-01-12,15:15:00,3675.00,3676.00,3675.00,3676.00,222,0\r\n2006-01-12,15:16:00,3676.00,3676.00,3675.00,3676.00,699,0\r\n2006-01-12,15:17:00,3675.00,3676.00,3675.00,3676.00,40,0\r\n2006-01-12,15:18:00,3675.00,3676.00,3674.00,3675.00,173,0\r\n2006-01-12,15:19:00,3675.00,3675.00,3674.00,3675.00,6,0\r\n2006-01-12,15:20:00,3674.00,3675.00,3674.00,3675.00,134,0\r\n2006-01-12,15:21:00,3675.00,3675.00,3675.00,3675.00,2,0\r\n2006-01-12,15:22:00,3674.00,3675.00,3674.00,3675.00,635,0\r\n2006-01-12,15:23:00,3675.00,3676.00,3675.00,3676.00,39,0\r\n2006-01-12,15:24:00,3675.00,3676.00,3675.00,3675.00,121,0\r\n2006-01-12,15:26:00,3676.00,3676.00,3675.00,3676.00,20,0\r\n2006-01-12,15:27:00,3676.00,3676.00,3676.00,3676.00,1,0\r\n2006-01-12,15:28:00,3676.00,3676.00,3675.00,3675.00,494,0\r\n2006-01-12,15:29:00,3676.00,3677.00,3676.00,3677.00,1546,0\r\n2006-01-12,15:30:00,3676.00,3677.00,3675.00,3677.00,2322,0\r\n2006-01-12,15:31:00,3677.00,3677.00,3676.00,3677.00,2651,0\r\n2006-01-12,15:32:00,3677.00,3677.00,3676.00,3677.00,5,0\r\n2006-01-12,15:33:00,3677.00,3677.00,3675.00,3676.00,531,0\r\n2006-01-12,15:34:00,3676.00,3677.00,3676.00,3677.00,350,0\r\n2006-01-12,15:35:00,3676.00,3677.00,3675.00,3676.00,839,0\r\n2006-01-12,15:36:00,3676.00,3676.00,3675.00,3675.00,225,0\r\n2006-01-12,15:37:00,3676.00,3676.00,3673.00,3674.00,1117,0\r\n2006-01-12,15:38:00,3674.00,3675.00,3674.00,3675.00,1143,0\r\n2006-01-12,15:39:00,3675.00,3676.00,3674.00,3675.00,255,0\r\n2006-01-12,15:40:00,3675.00,3675.00,3675.00,3675.00,454,0\r\n2006-01-12,15:41:00,3675.00,3675.00,3675.00,3675.00,414,0\r\n2006-01-12,15:42:00,3674.00,3675.00,3674.00,3675.00,173,0\r\n2006-01-12,15:43:00,3675.00,3675.00,3674.00,3674.00,1034,0\r\n2006-01-12,15:44:00,3673.00,3675.00,3673.00,3675.00,959,0\r\n2006-01-12,15:45:00,3674.00,3675.00,3674.00,3674.00,294,0\r\n2006-01-12,15:46:00,3674.00,3675.00,3674.00,3675.00,210,0\r\n2006-01-12,15:47:00,3674.00,3675.00,3673.00,3674.00,600,0\r\n2006-01-12,15:48:00,3674.00,3674.00,3672.00,3672.00,2139,0\r\n2006-01-12,15:49:00,3672.00,3673.00,3672.00,3672.00,485,0\r\n2006-01-12,15:50:00,3673.00,3673.00,3671.00,3672.00,828,0\r\n2006-01-12,15:51:00,3673.00,3674.00,3672.00,3673.00,1225,0\r\n2006-01-12,15:52:00,3674.00,3675.00,3673.00,3674.00,636,0\r\n2006-01-12,15:53:00,3674.00,3674.00,3672.00,3673.00,780,0\r\n2006-01-12,15:54:00,3673.00,3673.00,3672.00,3673.00,380,0\r\n2006-01-12,15:55:00,3672.00,3673.00,3672.00,3673.00,614,0\r\n2006-01-12,15:56:00,3673.00,3674.00,3673.00,3673.00,1227,0\r\n2006-01-12,15:57:00,3674.00,3674.00,3672.00,3672.00,235,0\r\n2006-01-12,15:58:00,3673.00,3673.00,3672.00,3672.00,155,0\r\n2006-01-12,15:59:00,3672.00,3674.00,3672.00,3674.00,855,0\r\n2006-01-12,16:00:00,3674.00,3674.00,3673.00,3674.00,706,0\r\n2006-01-12,16:01:00,3673.00,3676.00,3673.00,3676.00,880,0\r\n2006-01-12,16:02:00,3676.00,3676.00,3674.00,3674.00,3883,0\r\n2006-01-12,16:03:00,3675.00,3675.00,3674.00,3674.00,1307,0\r\n2006-01-12,16:04:00,3674.00,3675.00,3673.00,3674.00,233,0\r\n2006-01-12,16:05:00,3675.00,3677.00,3675.00,3677.00,1139,0\r\n2006-01-12,16:06:00,3676.00,3677.00,3676.00,3677.00,308,0\r\n2006-01-12,16:07:00,3677.00,3677.00,3676.00,3677.00,493,0\r\n2006-01-12,16:08:00,3676.00,3678.00,3676.00,3677.00,1082,0\r\n2006-01-12,16:09:00,3677.00,3678.00,3676.00,3676.00,2595,0\r\n2006-01-12,16:10:00,3677.00,3677.00,3675.00,3676.00,1200,0\r\n2006-01-12,16:11:00,3676.00,3677.00,3675.00,3677.00,1078,0\r\n2006-01-12,16:12:00,3677.00,3677.00,3676.00,3677.00,1939,0\r\n2006-01-12,16:13:00,3677.00,3677.00,3674.00,3675.00,1586,0\r\n2006-01-12,16:14:00,3675.00,3675.00,3674.00,3675.00,129,0\r\n2006-01-12,16:15:00,3675.00,3675.00,3674.00,3675.00,625,0\r\n2006-01-12,16:16:00,3674.00,3675.00,3674.00,3675.00,28,0\r\n2006-01-12,16:17:00,3674.00,3675.00,3674.00,3675.00,1092,0\r\n2006-01-12,16:18:00,3674.00,3675.00,3673.00,3674.00,565,0\r\n2006-01-12,16:19:00,3673.00,3674.00,3673.00,3673.00,687,0\r\n2006-01-12,16:20:00,3674.00,3675.00,3674.00,3674.00,786,0\r\n2006-01-12,16:21:00,3675.00,3675.00,3674.00,3675.00,419,0\r\n2006-01-12,16:22:00,3675.00,3675.00,3674.00,3675.00,113,0\r\n2006-01-12,16:23:00,3675.00,3675.00,3674.00,3675.00,383,0\r\n2006-01-12,16:24:00,3675.00,3675.00,3674.00,3674.00,1429,0\r\n2006-01-12,16:25:00,3674.00,3676.00,3673.00,3676.00,714,0\r\n2006-01-12,16:26:00,3676.00,3677.00,3675.00,3677.00,1205,0\r\n2006-01-12,16:27:00,3677.00,3677.00,3676.00,3676.00,681,0\r\n2006-01-12,16:28:00,3676.00,3677.00,3675.00,3676.00,1738,0\r\n2006-01-12,16:29:00,3676.00,3676.00,3675.00,3676.00,641,0\r\n2006-01-12,16:30:00,3676.00,3677.00,3676.00,3677.00,212,0\r\n2006-01-12,16:31:00,3676.00,3678.00,3675.00,3676.00,1433,0\r\n2006-01-12,16:32:00,3675.00,3677.00,3675.00,3676.00,69,0\r\n2006-01-12,16:33:00,3675.00,3676.00,3675.00,3675.00,1042,0\r\n2006-01-12,16:34:00,3675.00,3676.00,3675.00,3675.00,572,0\r\n2006-01-12,16:35:00,3674.00,3675.00,3674.00,3674.00,978,0\r\n2006-01-12,16:36:00,3674.00,3675.00,3673.00,3674.00,2237,0\r\n2006-01-12,16:37:00,3674.00,3674.00,3673.00,3674.00,972,0\r\n2006-01-12,16:38:00,3674.00,3676.00,3673.00,3676.00,1996,0\r\n2006-01-12,16:39:00,3675.00,3676.00,3674.00,3675.00,782,0\r\n2006-01-12,16:40:00,3675.00,3676.00,3674.00,3675.00,392,0\r\n2006-01-12,16:41:00,3675.00,3676.00,3675.00,3676.00,452,0\r\n2006-01-12,16:42:00,3675.00,3676.00,3674.00,3674.00,1690,0\r\n2006-01-12,16:43:00,3675.00,3675.00,3674.00,3674.00,1172,0\r\n2006-01-12,16:44:00,3674.00,3675.00,3674.00,3675.00,379,0\r\n2006-01-12,16:45:00,3675.00,3676.00,3675.00,3676.00,2088,0\r\n2006-01-12,16:46:00,3677.00,3677.00,3676.00,3677.00,1200,0\r\n2006-01-12,16:47:00,3677.00,3677.00,3676.00,3676.00,436,0\r\n2006-01-12,16:48:00,3676.00,3677.00,3676.00,3676.00,346,0\r\n2006-01-12,16:49:00,3677.00,3678.00,3677.00,3678.00,623,0\r\n2006-01-12,16:50:00,3678.00,3679.00,3677.00,3679.00,1381,0\r\n2006-01-12,16:51:00,3679.00,3679.00,3678.00,3678.00,683,0\r\n2006-01-12,16:52:00,3679.00,3681.00,3678.00,3680.00,3501,0\r\n2006-01-12,16:53:00,3680.00,3680.00,3679.00,3679.00,1386,0\r\n2006-01-12,16:54:00,3679.00,3680.00,3678.00,3679.00,1567,0\r\n2006-01-12,16:55:00,3680.00,3683.00,3680.00,3682.00,4858,0\r\n2006-01-12,16:56:00,3682.00,3683.00,3682.00,3682.00,1714,0\r\n2006-01-12,16:57:00,3682.00,3684.00,3681.00,3683.00,2923,0\r\n2006-01-12,16:58:00,3683.00,3683.00,3682.00,3682.00,1418,0\r\n2006-01-12,16:59:00,3682.00,3683.00,3682.00,3682.00,629,0\r\n2006-01-12,17:00:00,3683.00,3685.00,3682.00,3684.00,1538,0\r\n2006-01-12,17:01:00,3684.00,3687.00,3683.00,3686.00,4112,0\r\n2006-01-12,17:02:00,3686.00,3687.00,3686.00,3687.00,2404,0\r\n2006-01-12,17:03:00,3686.00,3687.00,3685.00,3686.00,3106,0\r\n2006-01-12,17:04:00,3685.00,3688.00,3685.00,3688.00,2420,0\r\n2006-01-12,17:05:00,3688.00,3688.00,3686.00,3687.00,2633,0\r\n2006-01-12,17:06:00,3687.00,3687.00,3685.00,3685.00,1674,0\r\n2006-01-12,17:07:00,3685.00,3686.00,3684.00,3685.00,1248,0\r\n2006-01-12,17:08:00,3685.00,3685.00,3683.00,3684.00,1288,0\r\n2006-01-12,17:09:00,3683.00,3684.00,3682.00,3683.00,1785,0\r\n2006-01-12,17:10:00,3682.00,3684.00,3682.00,3683.00,2171,0\r\n2006-01-12,17:11:00,3683.00,3685.00,3683.00,3684.00,1759,0\r\n2006-01-12,17:12:00,3684.00,3685.00,3683.00,3685.00,2954,0\r\n2006-01-12,17:13:00,3684.00,3685.00,3683.00,3684.00,1127,0\r\n2006-01-12,17:14:00,3684.00,3685.00,3684.00,3684.00,1658,0\r\n2006-01-12,17:15:00,3684.00,3684.00,3683.00,3683.00,193,0\r\n2006-01-12,17:16:00,3683.00,3685.00,3683.00,3685.00,978,0\r\n2006-01-12,17:17:00,3685.00,3685.00,3683.00,3684.00,728,0\r\n2006-01-12,17:18:00,3684.00,3684.00,3682.00,3683.00,991,0\r\n2006-01-12,17:19:00,3684.00,3684.00,3680.00,3680.00,2000,0\r\n2006-01-12,17:20:00,3680.00,3681.00,3679.00,3680.00,1758,0\r\n2006-01-12,17:21:00,3679.00,3680.00,3678.00,3679.00,1869,0\r\n2006-01-12,17:22:00,3679.00,3679.00,3678.00,3679.00,568,0\r\n2006-01-12,17:23:00,3679.00,3680.00,3678.00,3680.00,1700,0\r\n2006-01-12,17:24:00,3680.00,3680.00,3679.00,3680.00,1342,0\r\n2006-01-12,17:25:00,3679.00,3681.00,3679.00,3681.00,1273,0\r\n2006-01-12,17:26:00,3680.00,3681.00,3680.00,3681.00,992,0\r\n2006-01-12,17:27:00,3681.00,3682.00,3681.00,3681.00,2447,0\r\n2006-01-12,17:28:00,3681.00,3682.00,3680.00,3681.00,999,0\r\n2006-01-12,17:29:00,3682.00,3682.00,3680.00,3682.00,3189,0\r\n2006-01-12,17:30:00,3681.00,3682.00,3680.00,3681.00,2540,0\r\n2006-01-12,17:31:00,3680.00,3681.00,3679.00,3680.00,3764,0\r\n2006-01-12,17:32:00,3680.00,3681.00,3679.00,3679.00,1201,0\r\n2006-01-12,17:33:00,3679.00,3680.00,3679.00,3680.00,802,0\r\n2006-01-12,17:34:00,3680.00,3681.00,3680.00,3681.00,598,0\r\n2006-01-12,17:35:00,3681.00,3682.00,3680.00,3681.00,885,0\r\n2006-01-12,17:36:00,3681.00,3681.00,3680.00,3681.00,756,0\r\n2006-01-12,17:37:00,3680.00,3681.00,3680.00,3680.00,1029,0\r\n2006-01-12,17:38:00,3680.00,3680.00,3679.00,3680.00,278,0\r\n2006-01-12,17:39:00,3680.00,3680.00,3679.00,3679.00,72,0\r\n2006-01-12,17:40:00,3680.00,3680.00,3679.00,3679.00,200,0\r\n2006-01-12,17:41:00,3680.00,3680.00,3680.00,3680.00,1544,0\r\n2006-01-12,17:42:00,3680.00,3682.00,3680.00,3682.00,913,0\r\n2006-01-12,17:43:00,3682.00,3686.00,3682.00,3685.00,2908,0\r\n2006-01-12,17:44:00,3685.00,3685.00,3684.00,3684.00,489,0\r\n2006-01-12,17:45:00,3684.00,3684.00,3683.00,3683.00,174,0\r\n2006-01-12,17:46:00,3683.00,3684.00,3683.00,3683.00,98,0\r\n2006-01-12,17:47:00,3683.00,3683.00,3682.00,3683.00,679,0\r\n2006-01-12,17:48:00,3684.00,3684.00,3683.00,3684.00,23,0\r\n2006-01-12,17:49:00,3684.00,3685.00,3683.00,3684.00,1087,0\r\n2006-01-12,17:50:00,3685.00,3688.00,3685.00,3688.00,1857,0\r\n2006-01-12,17:51:00,3688.00,3689.00,3687.00,3689.00,2666,0\r\n2006-01-12,17:52:00,3689.00,3690.00,3688.00,3690.00,2650,0\r\n2006-01-12,17:53:00,3690.00,3691.00,3689.00,3690.00,2155,0\r\n2006-01-12,17:54:00,3690.00,3690.00,3688.00,3689.00,1288,0\r\n2006-01-12,17:55:00,3688.00,3690.00,3688.00,3690.00,399,0\r\n2006-01-12,17:56:00,3689.00,3689.00,3688.00,3688.00,661,0\r\n2006-01-12,17:57:00,3688.00,3688.00,3687.00,3688.00,310,0\r\n2006-01-12,17:58:00,3688.00,3689.00,3688.00,3688.00,549,0\r\n2006-01-12,17:59:00,3689.00,3689.00,3688.00,3688.00,480,0\r\n2006-01-12,18:00:00,3688.00,3688.00,3687.00,3688.00,595,0\r\n2006-01-12,18:01:00,3687.00,3688.00,3687.00,3687.00,65,0\r\n2006-01-12,18:02:00,3688.00,3688.00,3687.00,3687.00,793,0\r\n2006-01-12,18:03:00,3688.00,3688.00,3688.00,3688.00,49,0\r\n2006-01-12,18:04:00,3688.00,3688.00,3688.00,3688.00,17,0\r\n2006-01-12,18:05:00,3688.00,3689.00,3688.00,3689.00,729,0\r\n2006-01-12,18:06:00,3689.00,3689.00,3688.00,3688.00,310,0\r\n2006-01-12,18:07:00,3688.00,3688.00,3686.00,3687.00,667,0\r\n2006-01-12,18:08:00,3687.00,3687.00,3687.00,3687.00,258,0\r\n2006-01-12,18:09:00,3687.00,3687.00,3687.00,3687.00,5,0\r\n2006-01-12,18:10:00,3687.00,3688.00,3687.00,3688.00,9,0\r\n2006-01-12,18:11:00,3688.00,3688.00,3688.00,3688.00,231,0\r\n2006-01-12,18:12:00,3688.00,3688.00,3688.00,3688.00,50,0\r\n2006-01-12,18:13:00,3688.00,3688.00,3688.00,3688.00,291,0\r\n2006-01-12,18:14:00,3688.00,3688.00,3688.00,3688.00,257,0\r\n2006-01-12,18:15:00,3687.00,3687.00,3685.00,3685.00,817,0\r\n2006-01-12,18:16:00,3685.00,3685.00,3684.00,3684.00,617,0\r\n2006-01-12,18:17:00,3685.00,3685.00,3684.00,3684.00,230,0\r\n2006-01-12,18:18:00,3685.00,3686.00,3685.00,3686.00,313,0\r\n2006-01-12,18:19:00,3686.00,3686.00,3684.00,3684.00,182,0\r\n2006-01-12,18:20:00,3685.00,3685.00,3685.00,3685.00,4,0\r\n2006-01-12,18:22:00,3685.00,3686.00,3685.00,3685.00,260,0\r\n2006-01-12,18:23:00,3685.00,3687.00,3685.00,3687.00,448,0\r\n2006-01-12,18:24:00,3686.00,3686.00,3686.00,3686.00,152,0\r\n2006-01-12,18:25:00,3686.00,3686.00,3686.00,3686.00,8,0\r\n2006-01-12,18:26:00,3686.00,3686.00,3683.00,3684.00,409,0\r\n2006-01-12,18:27:00,3684.00,3685.00,3684.00,3685.00,607,0\r\n2006-01-12,18:28:00,3685.00,3685.00,3684.00,3684.00,1187,0\r\n2006-01-12,18:29:00,3685.00,3685.00,3685.00,3685.00,208,0\r\n2006-01-12,18:30:00,3685.00,3685.00,3683.00,3684.00,216,0\r\n2006-01-12,18:31:00,3683.00,3684.00,3683.00,3684.00,203,0\r\n2006-01-12,18:32:00,3684.00,3684.00,3684.00,3684.00,60,0\r\n2006-01-12,18:33:00,3685.00,3685.00,3684.00,3684.00,146,0\r\n2006-01-12,18:34:00,3685.00,3685.00,3685.00,3685.00,29,0\r\n2006-01-12,18:35:00,3685.00,3686.00,3685.00,3685.00,241,0\r\n2006-01-12,18:36:00,3685.00,3686.00,3685.00,3685.00,640,0\r\n2006-01-12,18:37:00,3685.00,3685.00,3685.00,3685.00,31,0\r\n2006-01-12,18:38:00,3685.00,3685.00,3684.00,3685.00,693,0\r\n2006-01-12,18:39:00,3685.00,3685.00,3685.00,3685.00,569,0\r\n2006-01-12,18:40:00,3685.00,3686.00,3685.00,3685.00,115,0\r\n2006-01-12,18:41:00,3685.00,3685.00,3685.00,3685.00,22,0\r\n2006-01-12,18:42:00,3684.00,3685.00,3684.00,3685.00,661,0\r\n2006-01-12,18:43:00,3685.00,3686.00,3685.00,3686.00,472,0\r\n2006-01-12,18:44:00,3685.00,3686.00,3685.00,3686.00,165,0\r\n2006-01-12,18:46:00,3686.00,3686.00,3685.00,3685.00,50,0\r\n2006-01-12,18:47:00,3686.00,3687.00,3685.00,3686.00,137,0\r\n2006-01-12,18:48:00,3686.00,3686.00,3686.00,3686.00,207,0\r\n2006-01-12,18:49:00,3686.00,3686.00,3686.00,3686.00,62,0\r\n2006-01-12,18:50:00,3687.00,3687.00,3685.00,3686.00,446,0\r\n2006-01-12,18:51:00,3686.00,3687.00,3686.00,3687.00,28,0\r\n2006-01-12,18:52:00,3686.00,3686.00,3686.00,3686.00,90,0\r\n2006-01-12,18:53:00,3686.00,3687.00,3686.00,3687.00,116,0\r\n2006-01-12,18:54:00,3686.00,3686.00,3686.00,3686.00,74,0\r\n2006-01-12,18:55:00,3686.00,3686.00,3686.00,3686.00,310,0\r\n2006-01-12,18:56:00,3686.00,3686.00,3686.00,3686.00,155,0\r\n2006-01-12,18:57:00,3686.00,3686.00,3686.00,3686.00,165,0\r\n2006-01-12,18:58:00,3686.00,3686.00,3685.00,3685.00,137,0\r\n2006-01-12,18:59:00,3686.00,3686.00,3686.00,3686.00,60,0\r\n2006-01-12,19:01:00,3686.00,3686.00,3685.00,3686.00,130,0\r\n2006-01-12,19:02:00,3686.00,3686.00,3686.00,3686.00,64,0\r\n2006-01-12,19:03:00,3686.00,3687.00,3685.00,3687.00,63,0\r\n2006-01-12,19:04:00,3686.00,3686.00,3686.00,3686.00,9,0\r\n2006-01-12,19:05:00,3686.00,3686.00,3686.00,3686.00,4,0\r\n2006-01-12,19:06:00,3686.00,3686.00,3686.00,3686.00,76,0\r\n2006-01-12,19:07:00,3687.00,3687.00,3686.00,3686.00,3,0\r\n2006-01-12,19:08:00,3686.00,3686.00,3686.00,3686.00,107,0\r\n2006-01-12,19:09:00,3685.00,3685.00,3684.00,3685.00,179,0\r\n2006-01-12,19:10:00,3684.00,3684.00,3684.00,3684.00,37,0\r\n2006-01-12,19:12:00,3685.00,3685.00,3685.00,3685.00,212,0\r\n2006-01-12,19:14:00,3685.00,3685.00,3684.00,3685.00,77,0\r\n2006-01-12,19:15:00,3685.00,3685.00,3685.00,3685.00,27,0\r\n2006-01-12,19:16:00,3685.00,3685.00,3685.00,3685.00,32,0\r\n2006-01-12,19:17:00,3685.00,3685.00,3685.00,3685.00,58,0\r\n2006-01-12,19:19:00,3686.00,3686.00,3684.00,3685.00,108,0\r\n2006-01-12,19:20:00,3685.00,3685.00,3685.00,3685.00,122,0\r\n2006-01-12,19:21:00,3685.00,3686.00,3685.00,3686.00,72,0\r\n2006-01-12,19:22:00,3685.00,3686.00,3685.00,3685.00,172,0\r\n2006-01-12,19:23:00,3685.00,3685.00,3685.00,3685.00,145,0\r\n2006-01-12,19:24:00,3685.00,3685.00,3685.00,3685.00,21,0\r\n2006-01-12,19:26:00,3684.00,3685.00,3683.00,3683.00,104,0\r\n2006-01-12,19:27:00,3683.00,3684.00,3683.00,3684.00,76,0\r\n2006-01-12,19:28:00,3685.00,3685.00,3684.00,3684.00,20,0\r\n2006-01-12,19:30:00,3685.00,3685.00,3684.00,3684.00,91,0\r\n2006-01-12,19:31:00,3684.00,3684.00,3684.00,3684.00,89,0\r\n2006-01-12,19:32:00,3683.00,3683.00,3683.00,3683.00,20,0\r\n2006-01-12,19:33:00,3683.00,3683.00,3683.00,3683.00,161,0\r\n2006-01-12,19:34:00,3684.00,3684.00,3683.00,3683.00,1330,0\r\n2006-01-12,19:36:00,3683.00,3683.00,3682.00,3682.00,93,0\r\n2006-01-12,19:37:00,3683.00,3683.00,3683.00,3683.00,82,0\r\n2006-01-12,19:38:00,3684.00,3684.00,3683.00,3683.00,15,0\r\n2006-01-12,19:39:00,3683.00,3684.00,3683.00,3684.00,245,0\r\n2006-01-12,19:41:00,3684.00,3684.00,3683.00,3684.00,111,0\r\n2006-01-12,19:43:00,3684.00,3684.00,3683.00,3684.00,407,0\r\n2006-01-12,19:44:00,3684.00,3684.00,3684.00,3684.00,44,0\r\n2006-01-12,19:45:00,3684.00,3684.00,3683.00,3683.00,5,0\r\n2006-01-12,19:46:00,3684.00,3684.00,3683.00,3683.00,98,0\r\n2006-01-12,19:47:00,3683.00,3683.00,3682.00,3683.00,666,0\r\n2006-01-12,19:48:00,3682.00,3682.00,3681.00,3682.00,128,0\r\n2006-01-12,19:49:00,3681.00,3682.00,3681.00,3682.00,183,0\r\n2006-01-12,19:50:00,3682.00,3682.00,3681.00,3682.00,273,0\r\n2006-01-12,19:51:00,3682.00,3682.00,3681.00,3681.00,47,0\r\n2006-01-12,19:52:00,3681.00,3682.00,3681.00,3681.00,759,0\r\n2006-01-12,19:53:00,3681.00,3681.00,3680.00,3680.00,577,0\r\n2006-01-12,19:54:00,3680.00,3681.00,3679.00,3679.00,707,0\r\n2006-01-12,19:55:00,3679.00,3680.00,3679.00,3679.00,648,0\r\n2006-01-12,19:56:00,3679.00,3679.00,3677.00,3678.00,634,0\r\n2006-01-12,19:57:00,3677.00,3678.00,3677.00,3678.00,962,0\r\n2006-01-12,19:58:00,3678.00,3678.00,3677.00,3677.00,381,0\r\n2006-01-12,19:59:00,3677.00,3678.00,3677.00,3678.00,117,0\r\n2006-01-12,20:00:00,3678.00,3678.00,3677.00,3678.00,67,0\r\n2006-01-12,20:01:00,3677.00,3678.00,3677.00,3677.00,217,0\r\n2006-01-12,20:02:00,3677.00,3678.00,3677.00,3677.00,150,0\r\n2006-01-12,20:03:00,3677.00,3677.00,3677.00,3677.00,626,0\r\n2006-01-12,20:04:00,3676.00,3676.00,3676.00,3676.00,631,0\r\n2006-01-12,20:05:00,3677.00,3677.00,3676.00,3677.00,436,0\r\n2006-01-12,20:06:00,3676.00,3677.00,3676.00,3677.00,224,0\r\n2006-01-12,20:07:00,3677.00,3677.00,3676.00,3676.00,22,0\r\n2006-01-12,20:08:00,3676.00,3676.00,3676.00,3676.00,5,0\r\n2006-01-12,20:09:00,3676.00,3676.00,3676.00,3676.00,988,0\r\n2006-01-12,20:10:00,3676.00,3677.00,3676.00,3677.00,370,0\r\n2006-01-12,20:11:00,3677.00,3677.00,3676.00,3676.00,278,0\r\n2006-01-12,20:12:00,3675.00,3676.00,3673.00,3673.00,1043,0\r\n2006-01-12,20:13:00,3673.00,3674.00,3673.00,3673.00,329,0\r\n2006-01-12,20:14:00,3673.00,3673.00,3669.00,3670.00,1465,0\r\n2006-01-12,20:15:00,3671.00,3671.00,3667.00,3668.00,1197,0\r\n2006-01-12,20:16:00,3668.00,3671.00,3667.00,3671.00,793,0\r\n2006-01-12,20:17:00,3671.00,3671.00,3669.00,3670.00,382,0\r\n2006-01-12,20:18:00,3671.00,3671.00,3669.00,3670.00,420,0\r\n2006-01-12,20:19:00,3670.00,3670.00,3669.00,3669.00,276,0\r\n2006-01-12,20:20:00,3669.00,3669.00,3668.00,3669.00,432,0\r\n2006-01-12,20:21:00,3668.00,3669.00,3666.00,3666.00,1200,0\r\n2006-01-12,20:22:00,3666.00,3668.00,3666.00,3668.00,214,0\r\n2006-01-12,20:23:00,3668.00,3669.00,3668.00,3669.00,33,0\r\n2006-01-12,20:24:00,3669.00,3670.00,3669.00,3669.00,284,0\r\n2006-01-12,20:25:00,3669.00,3670.00,3669.00,3670.00,76,0\r\n2006-01-12,20:26:00,3669.00,3671.00,3669.00,3670.00,179,0\r\n2006-01-12,20:27:00,3670.00,3671.00,3669.00,3670.00,61,0\r\n2006-01-12,20:28:00,3669.00,3669.00,3668.00,3668.00,39,0\r\n2006-01-12,20:29:00,3668.00,3668.00,3666.00,3666.00,316,0\r\n2006-01-12,20:30:00,3666.00,3666.00,3663.00,3664.00,1979,0\r\n2006-01-12,20:31:00,3664.00,3666.00,3664.00,3664.00,561,0\r\n2006-01-12,20:32:00,3664.00,3665.00,3663.00,3663.00,344,0\r\n2006-01-12,20:33:00,3664.00,3664.00,3660.00,3661.00,756,0\r\n2006-01-12,20:34:00,3661.00,3663.00,3661.00,3663.00,260,0\r\n2006-01-12,20:35:00,3663.00,3663.00,3663.00,3663.00,6,0\r\n2006-01-12,20:36:00,3663.00,3663.00,3661.00,3663.00,1044,0\r\n2006-01-12,20:37:00,3663.00,3664.00,3663.00,3664.00,234,0\r\n2006-01-12,20:38:00,3664.00,3664.00,3663.00,3663.00,167,0\r\n2006-01-12,20:39:00,3664.00,3664.00,3664.00,3664.00,87,0\r\n2006-01-12,20:40:00,3663.00,3664.00,3663.00,3663.00,108,0\r\n2006-01-12,20:41:00,3665.00,3665.00,3664.00,3664.00,21,0\r\n2006-01-12,20:42:00,3664.00,3665.00,3664.00,3665.00,20,0\r\n2006-01-12,20:43:00,3665.00,3666.00,3665.00,3666.00,63,0\r\n2006-01-12,20:44:00,3665.00,3665.00,3665.00,3665.00,35,0\r\n2006-01-12,20:45:00,3665.00,3665.00,3664.00,3665.00,158,0\r\n2006-01-12,20:46:00,3666.00,3666.00,3663.00,3663.00,319,0\r\n2006-01-12,20:47:00,3663.00,3663.00,3662.00,3662.00,220,0\r\n2006-01-12,20:48:00,3663.00,3664.00,3663.00,3663.00,288,0\r\n2006-01-12,20:49:00,3662.00,3662.00,3661.00,3661.00,251,0\r\n2006-01-12,20:50:00,3662.00,3662.00,3661.00,3661.00,11,0\r\n2006-01-12,20:51:00,3662.00,3662.00,3661.00,3662.00,37,0\r\n2006-01-12,20:52:00,3663.00,3663.00,3662.00,3663.00,257,0\r\n2006-01-12,20:53:00,3663.00,3663.00,3662.00,3663.00,291,0\r\n2006-01-12,20:54:00,3663.00,3663.00,3662.00,3662.00,223,0\r\n2006-01-12,20:55:00,3663.00,3663.00,3663.00,3663.00,58,0\r\n2006-01-12,20:56:00,3663.00,3663.00,3663.00,3663.00,143,0\r\n2006-01-12,20:57:00,3663.00,3663.00,3662.00,3662.00,200,0\r\n2006-01-12,20:58:00,3662.00,3663.00,3662.00,3663.00,62,0\r\n2006-01-12,20:59:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-12,21:00:00,3662.00,3662.00,3662.00,3662.00,9,0\r\n2006-01-12,21:01:00,3663.00,3663.00,3662.00,3663.00,82,0\r\n2006-01-12,21:02:00,3663.00,3663.00,3663.00,3663.00,6,0\r\n2006-01-12,21:03:00,3663.00,3663.00,3663.00,3663.00,102,0\r\n2006-01-12,21:04:00,3663.00,3663.00,3663.00,3663.00,19,0\r\n2006-01-12,21:05:00,3664.00,3664.00,3664.00,3664.00,25,0\r\n2006-01-12,21:06:00,3664.00,3664.00,3664.00,3664.00,7,0\r\n2006-01-12,21:07:00,3665.00,3666.00,3665.00,3666.00,21,0\r\n2006-01-12,21:08:00,3666.00,3666.00,3665.00,3665.00,7,0\r\n2006-01-12,21:09:00,3665.00,3665.00,3665.00,3665.00,26,0\r\n2006-01-12,21:10:00,3666.00,3666.00,3664.00,3664.00,8,0\r\n2006-01-12,21:11:00,3665.00,3665.00,3665.00,3665.00,2,0\r\n2006-01-12,21:12:00,3665.00,3665.00,3665.00,3665.00,61,0\r\n2006-01-12,21:13:00,3666.00,3666.00,3666.00,3666.00,20,0\r\n2006-01-12,21:14:00,3665.00,3665.00,3665.00,3665.00,1,0\r\n2006-01-12,21:15:00,3665.00,3665.00,3665.00,3665.00,10,0\r\n2006-01-12,21:16:00,3665.00,3665.00,3665.00,3665.00,3,0\r\n2006-01-12,21:17:00,3665.00,3666.00,3664.00,3664.00,14,0\r\n2006-01-12,21:20:00,3665.00,3665.00,3665.00,3665.00,9,0\r\n2006-01-12,21:21:00,3665.00,3665.00,3664.00,3664.00,11,0\r\n2006-01-12,21:23:00,3663.00,3663.00,3663.00,3663.00,11,0\r\n2006-01-12,21:24:00,3662.00,3662.00,3662.00,3662.00,75,0\r\n2006-01-12,21:25:00,3662.00,3662.00,3662.00,3662.00,20,0\r\n2006-01-12,21:26:00,3662.00,3662.00,3662.00,3662.00,36,0\r\n2006-01-12,21:27:00,3662.00,3662.00,3662.00,3662.00,3,0\r\n2006-01-12,21:28:00,3662.00,3662.00,3662.00,3662.00,4,0\r\n2006-01-12,21:30:00,3663.00,3663.00,3663.00,3663.00,6,0\r\n2006-01-12,21:31:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-12,21:32:00,3664.00,3664.00,3664.00,3664.00,2,0\r\n2006-01-12,21:33:00,3663.00,3663.00,3663.00,3663.00,34,0\r\n2006-01-12,21:34:00,3663.00,3664.00,3663.00,3664.00,62,0\r\n2006-01-12,21:35:00,3663.00,3664.00,3663.00,3664.00,4,0\r\n2006-01-12,21:37:00,3664.00,3664.00,3664.00,3664.00,24,0\r\n2006-01-12,21:38:00,3664.00,3664.00,3664.00,3664.00,2,0\r\n2006-01-12,21:39:00,3665.00,3665.00,3665.00,3665.00,3,0\r\n2006-01-12,21:40:00,3665.00,3665.00,3665.00,3665.00,24,0\r\n2006-01-12,21:41:00,3665.00,3665.00,3664.00,3664.00,4,0\r\n2006-01-12,21:42:00,3665.00,3665.00,3664.00,3664.00,46,0\r\n2006-01-12,21:43:00,3663.00,3663.00,3663.00,3663.00,32,0\r\n2006-01-12,21:44:00,3662.00,3662.00,3661.00,3661.00,223,0\r\n2006-01-12,21:45:00,3661.00,3661.00,3661.00,3661.00,15,0\r\n2006-01-12,21:46:00,3661.00,3661.00,3660.00,3660.00,17,0\r\n2006-01-12,21:47:00,3660.00,3660.00,3660.00,3660.00,4,0\r\n2006-01-12,21:48:00,3661.00,3661.00,3661.00,3661.00,27,0\r\n2006-01-12,21:49:00,3660.00,3660.00,3660.00,3660.00,1,0\r\n2006-01-12,21:50:00,3661.00,3661.00,3661.00,3661.00,17,0\r\n2006-01-12,21:51:00,3662.00,3662.00,3661.00,3661.00,14,0\r\n2006-01-12,21:52:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-12,21:53:00,3661.00,3661.00,3660.00,3660.00,312,0\r\n2006-01-12,21:54:00,3660.00,3661.00,3660.00,3661.00,25,0\r\n2006-01-12,21:55:00,3661.00,3661.00,3660.00,3661.00,413,0\r\n2006-01-12,21:56:00,3660.00,3661.00,3660.00,3661.00,320,0\r\n2006-01-12,21:57:00,3662.00,3662.00,3661.00,3661.00,109,0\r\n2006-01-12,21:58:00,3661.00,3661.00,3660.00,3660.00,178,0\r\n2006-01-12,21:59:00,3661.00,3661.00,3661.00,3661.00,125,0\r\n2006-01-12,22:00:00,3661.00,3664.00,3661.00,3664.00,369,0\r\n2006-01-13,09:01:00,3666.00,3668.00,3666.00,3668.00,4011,0\r\n2006-01-13,09:02:00,3669.00,3670.00,3668.00,3670.00,1135,0\r\n2006-01-13,09:03:00,3669.00,3669.00,3668.00,3668.00,1201,0\r\n2006-01-13,09:04:00,3668.00,3669.00,3667.00,3669.00,990,0\r\n2006-01-13,09:05:00,3669.00,3670.00,3669.00,3669.00,347,0\r\n2006-01-13,09:06:00,3670.00,3670.00,3669.00,3670.00,1342,0\r\n2006-01-13,09:07:00,3670.00,3670.00,3668.00,3669.00,2243,0\r\n2006-01-13,09:08:00,3669.00,3671.00,3669.00,3669.00,1028,0\r\n2006-01-13,09:09:00,3669.00,3669.00,3668.00,3668.00,1650,0\r\n2006-01-13,09:10:00,3668.00,3669.00,3667.00,3667.00,492,0\r\n2006-01-13,09:11:00,3667.00,3668.00,3666.00,3666.00,2033,0\r\n2006-01-13,09:12:00,3666.00,3666.00,3665.00,3666.00,2720,0\r\n2006-01-13,09:13:00,3666.00,3666.00,3664.00,3665.00,1818,0\r\n2006-01-13,09:14:00,3665.00,3666.00,3665.00,3665.00,315,0\r\n2006-01-13,09:15:00,3665.00,3667.00,3665.00,3666.00,589,0\r\n2006-01-13,09:16:00,3667.00,3667.00,3666.00,3667.00,146,0\r\n2006-01-13,09:17:00,3666.00,3667.00,3665.00,3666.00,1306,0\r\n2006-01-13,09:18:00,3666.00,3666.00,3666.00,3666.00,31,0\r\n2006-01-13,09:19:00,3666.00,3667.00,3666.00,3666.00,46,0\r\n2006-01-13,09:20:00,3667.00,3667.00,3665.00,3667.00,1738,0\r\n2006-01-13,09:21:00,3666.00,3667.00,3665.00,3665.00,1435,0\r\n2006-01-13,09:22:00,3665.00,3666.00,3663.00,3663.00,2306,0\r\n2006-01-13,09:23:00,3663.00,3665.00,3663.00,3663.00,957,0\r\n2006-01-13,09:24:00,3663.00,3664.00,3662.00,3663.00,1201,0\r\n2006-01-13,09:25:00,3663.00,3664.00,3663.00,3664.00,517,0\r\n2006-01-13,09:26:00,3663.00,3664.00,3662.00,3663.00,994,0\r\n2006-01-13,09:27:00,3663.00,3663.00,3661.00,3661.00,1957,0\r\n2006-01-13,09:28:00,3661.00,3661.00,3657.00,3658.00,4234,0\r\n2006-01-13,09:29:00,3658.00,3658.00,3656.00,3658.00,2242,0\r\n2006-01-13,09:30:00,3657.00,3659.00,3657.00,3658.00,1236,0\r\n2006-01-13,09:31:00,3659.00,3659.00,3657.00,3659.00,3419,0\r\n2006-01-13,09:32:00,3658.00,3659.00,3658.00,3659.00,964,0\r\n2006-01-13,09:33:00,3658.00,3659.00,3657.00,3658.00,565,0\r\n2006-01-13,09:34:00,3657.00,3658.00,3657.00,3658.00,485,0\r\n2006-01-13,09:35:00,3658.00,3658.00,3657.00,3658.00,977,0\r\n2006-01-13,09:36:00,3658.00,3659.00,3658.00,3658.00,702,0\r\n2006-01-13,09:37:00,3659.00,3660.00,3659.00,3660.00,1262,0\r\n2006-01-13,09:38:00,3659.00,3660.00,3658.00,3659.00,338,0\r\n2006-01-13,09:39:00,3659.00,3659.00,3658.00,3658.00,248,0\r\n2006-01-13,09:40:00,3658.00,3659.00,3657.00,3658.00,1141,0\r\n2006-01-13,09:41:00,3658.00,3659.00,3658.00,3658.00,114,0\r\n2006-01-13,09:42:00,3658.00,3659.00,3657.00,3657.00,232,0\r\n2006-01-13,09:43:00,3657.00,3657.00,3654.00,3654.00,3380,0\r\n2006-01-13,09:44:00,3654.00,3655.00,3652.00,3653.00,4356,0\r\n2006-01-13,09:45:00,3654.00,3655.00,3654.00,3654.00,1335,0\r\n2006-01-13,09:46:00,3653.00,3654.00,3653.00,3654.00,1689,0\r\n2006-01-13,09:47:00,3654.00,3655.00,3653.00,3655.00,713,0\r\n2006-01-13,09:48:00,3655.00,3655.00,3654.00,3655.00,559,0\r\n2006-01-13,09:49:00,3655.00,3657.00,3655.00,3657.00,438,0\r\n2006-01-13,09:50:00,3656.00,3657.00,3656.00,3657.00,854,0\r\n2006-01-13,09:51:00,3657.00,3658.00,3656.00,3657.00,1505,0\r\n2006-01-13,09:52:00,3657.00,3658.00,3656.00,3656.00,1029,0\r\n2006-01-13,09:53:00,3656.00,3657.00,3656.00,3657.00,326,0\r\n2006-01-13,09:54:00,3656.00,3657.00,3656.00,3656.00,270,0\r\n2006-01-13,09:55:00,3656.00,3657.00,3656.00,3657.00,937,0\r\n2006-01-13,09:56:00,3657.00,3657.00,3657.00,3657.00,335,0\r\n2006-01-13,09:57:00,3657.00,3657.00,3656.00,3657.00,269,0\r\n2006-01-13,09:58:00,3656.00,3657.00,3656.00,3657.00,321,0\r\n2006-01-13,09:59:00,3656.00,3658.00,3656.00,3657.00,680,0\r\n2006-01-13,10:00:00,3657.00,3657.00,3655.00,3656.00,1585,0\r\n2006-01-13,10:01:00,3656.00,3657.00,3654.00,3654.00,2689,0\r\n2006-01-13,10:02:00,3654.00,3655.00,3654.00,3654.00,952,0\r\n2006-01-13,10:03:00,3654.00,3655.00,3651.00,3652.00,3057,0\r\n2006-01-13,10:04:00,3651.00,3653.00,3651.00,3651.00,3177,0\r\n2006-01-13,10:05:00,3652.00,3653.00,3651.00,3653.00,1675,0\r\n2006-01-13,10:06:00,3653.00,3653.00,3651.00,3652.00,1221,0\r\n2006-01-13,10:07:00,3651.00,3652.00,3651.00,3652.00,1212,0\r\n2006-01-13,10:08:00,3652.00,3653.00,3649.00,3650.00,6350,0\r\n2006-01-13,10:09:00,3650.00,3651.00,3647.00,3648.00,4258,0\r\n2006-01-13,10:10:00,3648.00,3649.00,3647.00,3649.00,2962,0\r\n2006-01-13,10:11:00,3649.00,3650.00,3649.00,3649.00,776,0\r\n2006-01-13,10:12:00,3649.00,3650.00,3647.00,3648.00,1068,0\r\n2006-01-13,10:13:00,3649.00,3650.00,3648.00,3650.00,1150,0\r\n2006-01-13,10:14:00,3649.00,3651.00,3649.00,3651.00,1739,0\r\n2006-01-13,10:15:00,3651.00,3651.00,3648.00,3649.00,683,0\r\n2006-01-13,10:16:00,3649.00,3649.00,3646.00,3647.00,1754,0\r\n2006-01-13,10:17:00,3647.00,3648.00,3644.00,3644.00,3982,0\r\n2006-01-13,10:18:00,3644.00,3645.00,3642.00,3643.00,5359,0\r\n2006-01-13,10:19:00,3643.00,3646.00,3643.00,3646.00,6588,0\r\n2006-01-13,10:20:00,3646.00,3647.00,3646.00,3647.00,2082,0\r\n2006-01-13,10:21:00,3647.00,3647.00,3646.00,3647.00,435,0\r\n2006-01-13,10:22:00,3647.00,3648.00,3646.00,3648.00,1231,0\r\n2006-01-13,10:23:00,3647.00,3648.00,3646.00,3647.00,1530,0\r\n2006-01-13,10:24:00,3648.00,3648.00,3647.00,3647.00,335,0\r\n2006-01-13,10:25:00,3647.00,3648.00,3646.00,3646.00,668,0\r\n2006-01-13,10:26:00,3646.00,3647.00,3646.00,3646.00,241,0\r\n2006-01-13,10:27:00,3647.00,3649.00,3647.00,3649.00,1647,0\r\n2006-01-13,10:28:00,3649.00,3649.00,3648.00,3648.00,2645,0\r\n2006-01-13,10:29:00,3648.00,3649.00,3647.00,3648.00,1186,0\r\n2006-01-13,10:30:00,3648.00,3648.00,3647.00,3647.00,472,0\r\n2006-01-13,10:31:00,3648.00,3648.00,3647.00,3647.00,579,0\r\n2006-01-13,10:32:00,3647.00,3647.00,3645.00,3646.00,1657,0\r\n2006-01-13,10:33:00,3647.00,3647.00,3646.00,3646.00,671,0\r\n2006-01-13,10:34:00,3646.00,3647.00,3646.00,3647.00,1214,0\r\n2006-01-13,10:35:00,3647.00,3647.00,3645.00,3646.00,969,0\r\n2006-01-13,10:36:00,3646.00,3646.00,3645.00,3646.00,501,0\r\n2006-01-13,10:37:00,3647.00,3647.00,3646.00,3647.00,131,0\r\n2006-01-13,10:38:00,3647.00,3647.00,3646.00,3646.00,825,0\r\n2006-01-13,10:39:00,3646.00,3646.00,3645.00,3646.00,337,0\r\n2006-01-13,10:40:00,3647.00,3648.00,3647.00,3648.00,413,0\r\n2006-01-13,10:41:00,3647.00,3648.00,3647.00,3648.00,147,0\r\n2006-01-13,10:42:00,3647.00,3648.00,3647.00,3647.00,291,0\r\n2006-01-13,10:43:00,3647.00,3648.00,3647.00,3648.00,253,0\r\n2006-01-13,10:44:00,3648.00,3648.00,3647.00,3648.00,847,0\r\n2006-01-13,10:45:00,3648.00,3649.00,3648.00,3649.00,1174,0\r\n2006-01-13,10:46:00,3649.00,3650.00,3649.00,3650.00,1242,0\r\n2006-01-13,10:47:00,3650.00,3651.00,3649.00,3650.00,3282,0\r\n2006-01-13,10:48:00,3650.00,3651.00,3650.00,3651.00,319,0\r\n2006-01-13,10:49:00,3650.00,3652.00,3650.00,3651.00,2123,0\r\n2006-01-13,10:50:00,3650.00,3652.00,3650.00,3651.00,620,0\r\n2006-01-13,10:51:00,3650.00,3651.00,3650.00,3650.00,637,0\r\n2006-01-13,10:52:00,3650.00,3651.00,3647.00,3647.00,2957,0\r\n2006-01-13,10:53:00,3648.00,3648.00,3647.00,3647.00,190,0\r\n2006-01-13,10:54:00,3648.00,3648.00,3647.00,3647.00,62,0\r\n2006-01-13,10:55:00,3648.00,3648.00,3647.00,3648.00,1093,0\r\n2006-01-13,10:56:00,3647.00,3648.00,3646.00,3647.00,1079,0\r\n2006-01-13,10:57:00,3646.00,3647.00,3646.00,3647.00,76,0\r\n2006-01-13,10:58:00,3646.00,3648.00,3646.00,3648.00,796,0\r\n2006-01-13,10:59:00,3647.00,3647.00,3646.00,3646.00,972,0\r\n2006-01-13,11:00:00,3646.00,3647.00,3646.00,3646.00,13,0\r\n2006-01-13,11:01:00,3647.00,3648.00,3646.00,3647.00,2133,0\r\n2006-01-13,11:02:00,3647.00,3647.00,3646.00,3646.00,2178,0\r\n2006-01-13,11:03:00,3646.00,3646.00,3645.00,3646.00,1962,0\r\n2006-01-13,11:04:00,3646.00,3646.00,3645.00,3645.00,1137,0\r\n2006-01-13,11:05:00,3646.00,3646.00,3645.00,3645.00,633,0\r\n2006-01-13,11:06:00,3646.00,3647.00,3645.00,3645.00,748,0\r\n2006-01-13,11:07:00,3646.00,3646.00,3644.00,3644.00,2413,0\r\n2006-01-13,11:08:00,3645.00,3645.00,3644.00,3644.00,776,0\r\n2006-01-13,11:09:00,3644.00,3645.00,3643.00,3644.00,952,0\r\n2006-01-13,11:10:00,3643.00,3644.00,3643.00,3643.00,195,0\r\n2006-01-13,11:11:00,3643.00,3644.00,3643.00,3644.00,588,0\r\n2006-01-13,11:12:00,3645.00,3646.00,3644.00,3644.00,1749,0\r\n2006-01-13,11:13:00,3645.00,3646.00,3644.00,3646.00,650,0\r\n2006-01-13,11:14:00,3645.00,3647.00,3645.00,3647.00,1378,0\r\n2006-01-13,11:15:00,3646.00,3648.00,3646.00,3647.00,822,0\r\n2006-01-13,11:16:00,3647.00,3648.00,3647.00,3647.00,841,0\r\n2006-01-13,11:17:00,3648.00,3648.00,3647.00,3647.00,372,0\r\n2006-01-13,11:18:00,3647.00,3647.00,3646.00,3647.00,139,0\r\n2006-01-13,11:19:00,3647.00,3647.00,3646.00,3647.00,115,0\r\n2006-01-13,11:20:00,3647.00,3648.00,3647.00,3648.00,68,0\r\n2006-01-13,11:21:00,3648.00,3649.00,3647.00,3648.00,2149,0\r\n2006-01-13,11:22:00,3647.00,3648.00,3647.00,3648.00,109,0\r\n2006-01-13,11:23:00,3648.00,3648.00,3647.00,3647.00,167,0\r\n2006-01-13,11:24:00,3648.00,3648.00,3648.00,3648.00,216,0\r\n2006-01-13,11:25:00,3648.00,3649.00,3647.00,3649.00,487,0\r\n2006-01-13,11:26:00,3648.00,3649.00,3648.00,3649.00,247,0\r\n2006-01-13,11:27:00,3649.00,3649.00,3649.00,3649.00,197,0\r\n2006-01-13,11:28:00,3648.00,3649.00,3647.00,3648.00,1539,0\r\n2006-01-13,11:29:00,3648.00,3648.00,3647.00,3647.00,301,0\r\n2006-01-13,11:30:00,3648.00,3648.00,3647.00,3648.00,126,0\r\n2006-01-13,11:31:00,3647.00,3648.00,3647.00,3648.00,247,0\r\n2006-01-13,11:32:00,3647.00,3647.00,3646.00,3647.00,113,0\r\n2006-01-13,11:33:00,3647.00,3647.00,3647.00,3647.00,5,0\r\n2006-01-13,11:34:00,3647.00,3648.00,3647.00,3648.00,208,0\r\n2006-01-13,11:35:00,3648.00,3649.00,3648.00,3649.00,194,0\r\n2006-01-13,11:36:00,3649.00,3649.00,3648.00,3648.00,26,0\r\n2006-01-13,11:37:00,3649.00,3649.00,3647.00,3647.00,358,0\r\n2006-01-13,11:38:00,3648.00,3648.00,3647.00,3648.00,190,0\r\n2006-01-13,11:39:00,3648.00,3649.00,3648.00,3649.00,84,0\r\n2006-01-13,11:40:00,3648.00,3648.00,3647.00,3648.00,424,0\r\n2006-01-13,11:41:00,3648.00,3648.00,3647.00,3647.00,24,0\r\n2006-01-13,11:42:00,3648.00,3648.00,3647.00,3648.00,471,0\r\n2006-01-13,11:43:00,3647.00,3648.00,3647.00,3648.00,8,0\r\n2006-01-13,11:44:00,3647.00,3648.00,3647.00,3647.00,162,0\r\n2006-01-13,11:45:00,3648.00,3648.00,3648.00,3648.00,447,0\r\n2006-01-13,11:46:00,3648.00,3648.00,3648.00,3648.00,770,0\r\n2006-01-13,11:47:00,3647.00,3648.00,3647.00,3648.00,26,0\r\n2006-01-13,11:48:00,3648.00,3648.00,3647.00,3647.00,350,0\r\n2006-01-13,11:49:00,3647.00,3647.00,3646.00,3647.00,540,0\r\n2006-01-13,11:50:00,3647.00,3648.00,3647.00,3647.00,453,0\r\n2006-01-13,11:51:00,3647.00,3647.00,3647.00,3647.00,1,0\r\n2006-01-13,11:52:00,3647.00,3648.00,3647.00,3647.00,688,0\r\n2006-01-13,11:53:00,3647.00,3647.00,3647.00,3647.00,71,0\r\n2006-01-13,11:54:00,3648.00,3648.00,3647.00,3648.00,1249,0\r\n2006-01-13,11:55:00,3647.00,3647.00,3647.00,3647.00,19,0\r\n2006-01-13,11:56:00,3647.00,3648.00,3647.00,3648.00,220,0\r\n2006-01-13,11:57:00,3647.00,3648.00,3647.00,3648.00,24,0\r\n2006-01-13,11:58:00,3648.00,3648.00,3648.00,3648.00,185,0\r\n2006-01-13,11:59:00,3648.00,3648.00,3648.00,3648.00,125,0\r\n2006-01-13,12:00:00,3649.00,3649.00,3648.00,3648.00,19,0\r\n2006-01-13,12:01:00,3648.00,3648.00,3648.00,3648.00,496,0\r\n2006-01-13,12:02:00,3649.00,3649.00,3647.00,3648.00,307,0\r\n2006-01-13,12:03:00,3648.00,3648.00,3647.00,3648.00,281,0\r\n2006-01-13,12:04:00,3648.00,3649.00,3647.00,3647.00,160,0\r\n2006-01-13,12:05:00,3648.00,3648.00,3647.00,3647.00,36,0\r\n2006-01-13,12:06:00,3647.00,3648.00,3646.00,3646.00,175,0\r\n2006-01-13,12:07:00,3647.00,3647.00,3647.00,3647.00,245,0\r\n2006-01-13,12:08:00,3647.00,3647.00,3647.00,3647.00,116,0\r\n2006-01-13,12:09:00,3647.00,3647.00,3647.00,3647.00,197,0\r\n2006-01-13,12:10:00,3646.00,3647.00,3646.00,3646.00,176,0\r\n2006-01-13,12:11:00,3646.00,3647.00,3646.00,3646.00,152,0\r\n2006-01-13,12:12:00,3646.00,3648.00,3646.00,3646.00,190,0\r\n2006-01-13,12:13:00,3647.00,3647.00,3646.00,3646.00,88,0\r\n2006-01-13,12:14:00,3646.00,3647.00,3646.00,3646.00,1796,0\r\n2006-01-13,12:15:00,3647.00,3648.00,3647.00,3647.00,697,0\r\n2006-01-13,12:16:00,3648.00,3648.00,3647.00,3647.00,8,0\r\n2006-01-13,12:17:00,3647.00,3648.00,3647.00,3647.00,506,0\r\n2006-01-13,12:18:00,3647.00,3647.00,3646.00,3647.00,133,0\r\n2006-01-13,12:19:00,3647.00,3648.00,3647.00,3648.00,210,0\r\n2006-01-13,12:20:00,3648.00,3648.00,3647.00,3647.00,360,0\r\n2006-01-13,12:21:00,3647.00,3647.00,3647.00,3647.00,4,0\r\n2006-01-13,12:22:00,3648.00,3648.00,3647.00,3648.00,555,0\r\n2006-01-13,12:23:00,3649.00,3649.00,3648.00,3649.00,40,0\r\n2006-01-13,12:24:00,3648.00,3649.00,3648.00,3648.00,341,0\r\n2006-01-13,12:25:00,3649.00,3649.00,3648.00,3648.00,333,0\r\n2006-01-13,12:26:00,3649.00,3649.00,3648.00,3649.00,213,0\r\n2006-01-13,12:27:00,3648.00,3649.00,3647.00,3647.00,447,0\r\n2006-01-13,12:28:00,3648.00,3648.00,3647.00,3647.00,436,0\r\n2006-01-13,12:29:00,3647.00,3647.00,3647.00,3647.00,675,0\r\n2006-01-13,12:30:00,3648.00,3648.00,3647.00,3647.00,781,0\r\n2006-01-13,12:31:00,3648.00,3649.00,3648.00,3649.00,755,0\r\n2006-01-13,12:32:00,3648.00,3649.00,3648.00,3648.00,14158,0\r\n2006-01-13,12:33:00,3648.00,3649.00,3648.00,3649.00,234,0\r\n2006-01-13,12:34:00,3648.00,3648.00,3647.00,3647.00,271,0\r\n2006-01-13,12:35:00,3648.00,3648.00,3647.00,3647.00,57,0\r\n2006-01-13,12:36:00,3647.00,3648.00,3647.00,3648.00,225,0\r\n2006-01-13,12:37:00,3647.00,3647.00,3647.00,3647.00,15,0\r\n2006-01-13,12:38:00,3648.00,3648.00,3647.00,3648.00,7,0\r\n2006-01-13,12:39:00,3648.00,3648.00,3647.00,3647.00,74,0\r\n2006-01-13,12:40:00,3648.00,3648.00,3647.00,3647.00,200,0\r\n2006-01-13,12:41:00,3648.00,3648.00,3647.00,3647.00,129,0\r\n2006-01-13,12:42:00,3648.00,3648.00,3647.00,3647.00,146,0\r\n2006-01-13,12:43:00,3647.00,3647.00,3646.00,3647.00,170,0\r\n2006-01-13,12:44:00,3647.00,3648.00,3647.00,3648.00,154,0\r\n2006-01-13,12:45:00,3647.00,3647.00,3647.00,3647.00,5,0\r\n2006-01-13,12:46:00,3648.00,3648.00,3647.00,3647.00,29,0\r\n2006-01-13,12:47:00,3647.00,3648.00,3647.00,3647.00,960,0\r\n2006-01-13,12:48:00,3647.00,3647.00,3647.00,3647.00,1521,0\r\n2006-01-13,12:49:00,3647.00,3648.00,3647.00,3647.00,187,0\r\n2006-01-13,12:50:00,3647.00,3648.00,3647.00,3647.00,20,0\r\n2006-01-13,12:51:00,3647.00,3648.00,3647.00,3647.00,7,0\r\n2006-01-13,12:52:00,3648.00,3648.00,3647.00,3647.00,18,0\r\n2006-01-13,12:53:00,3648.00,3648.00,3647.00,3647.00,40,0\r\n2006-01-13,12:54:00,3647.00,3648.00,3647.00,3648.00,4,0\r\n2006-01-13,12:55:00,3647.00,3648.00,3646.00,3646.00,240,0\r\n2006-01-13,12:56:00,3647.00,3647.00,3646.00,3647.00,356,0\r\n2006-01-13,12:57:00,3646.00,3647.00,3646.00,3647.00,181,0\r\n2006-01-13,12:58:00,3646.00,3647.00,3646.00,3646.00,158,0\r\n2006-01-13,12:59:00,3646.00,3647.00,3646.00,3646.00,329,0\r\n2006-01-13,13:00:00,3646.00,3647.00,3646.00,3647.00,124,0\r\n2006-01-13,13:01:00,3647.00,3647.00,3645.00,3646.00,1339,0\r\n2006-01-13,13:02:00,3646.00,3646.00,3645.00,3645.00,361,0\r\n2006-01-13,13:03:00,3646.00,3646.00,3645.00,3645.00,387,0\r\n2006-01-13,13:04:00,3645.00,3645.00,3644.00,3645.00,1206,0\r\n2006-01-13,13:05:00,3645.00,3646.00,3645.00,3645.00,219,0\r\n2006-01-13,13:06:00,3645.00,3645.00,3645.00,3645.00,58,0\r\n2006-01-13,13:07:00,3645.00,3645.00,3645.00,3645.00,2086,0\r\n2006-01-13,13:08:00,3644.00,3645.00,3644.00,3645.00,1399,0\r\n2006-01-13,13:09:00,3645.00,3645.00,3643.00,3643.00,924,0\r\n2006-01-13,13:10:00,3643.00,3644.00,3642.00,3644.00,1699,0\r\n2006-01-13,13:11:00,3644.00,3644.00,3643.00,3644.00,428,0\r\n2006-01-13,13:12:00,3644.00,3644.00,3643.00,3644.00,344,0\r\n2006-01-13,13:13:00,3644.00,3645.00,3644.00,3645.00,38,0\r\n2006-01-13,13:14:00,3645.00,3645.00,3645.00,3645.00,6,0\r\n2006-01-13,13:15:00,3645.00,3645.00,3644.00,3645.00,8233,0\r\n2006-01-13,13:16:00,3645.00,3646.00,3644.00,3646.00,1063,0\r\n2006-01-13,13:17:00,3645.00,3646.00,3645.00,3645.00,1007,0\r\n2006-01-13,13:18:00,3646.00,3646.00,3645.00,3645.00,340,0\r\n2006-01-13,13:19:00,3645.00,3646.00,3645.00,3645.00,327,0\r\n2006-01-13,13:20:00,3645.00,3646.00,3645.00,3646.00,508,0\r\n2006-01-13,13:21:00,3645.00,3645.00,3645.00,3645.00,50,0\r\n2006-01-13,13:22:00,3645.00,3646.00,3645.00,3645.00,600,0\r\n2006-01-13,13:23:00,3645.00,3645.00,3645.00,3645.00,231,0\r\n2006-01-13,13:24:00,3645.00,3646.00,3645.00,3646.00,63,0\r\n2006-01-13,13:25:00,3645.00,3646.00,3645.00,3646.00,43,0\r\n2006-01-13,13:26:00,3645.00,3645.00,3645.00,3645.00,2,0\r\n2006-01-13,13:27:00,3645.00,3645.00,3645.00,3645.00,342,0\r\n2006-01-13,13:28:00,3645.00,3645.00,3644.00,3644.00,1016,0\r\n2006-01-13,13:29:00,3644.00,3644.00,3643.00,3644.00,377,0\r\n2006-01-13,13:30:00,3643.00,3643.00,3643.00,3643.00,324,0\r\n2006-01-13,13:31:00,3643.00,3644.00,3643.00,3643.00,670,0\r\n2006-01-13,13:32:00,3644.00,3644.00,3642.00,3643.00,195,0\r\n2006-01-13,13:33:00,3642.00,3643.00,3642.00,3643.00,12,0\r\n2006-01-13,13:34:00,3643.00,3643.00,3642.00,3642.00,599,0\r\n2006-01-13,13:35:00,3642.00,3643.00,3641.00,3642.00,1035,0\r\n2006-01-13,13:36:00,3642.00,3642.00,3641.00,3642.00,313,0\r\n2006-01-13,13:37:00,3642.00,3642.00,3641.00,3642.00,1271,0\r\n2006-01-13,13:38:00,3642.00,3642.00,3638.00,3639.00,5091,0\r\n2006-01-13,13:39:00,3639.00,3640.00,3639.00,3639.00,2530,0\r\n2006-01-13,13:40:00,3640.00,3640.00,3639.00,3640.00,2857,0\r\n2006-01-13,13:41:00,3640.00,3640.00,3636.00,3637.00,5206,0\r\n2006-01-13,13:42:00,3638.00,3638.00,3636.00,3637.00,3278,0\r\n2006-01-13,13:43:00,3637.00,3637.00,3636.00,3637.00,668,0\r\n2006-01-13,13:44:00,3637.00,3638.00,3637.00,3638.00,1500,0\r\n2006-01-13,13:45:00,3638.00,3638.00,3638.00,3638.00,808,0\r\n2006-01-13,13:46:00,3638.00,3639.00,3637.00,3637.00,1021,0\r\n2006-01-13,13:47:00,3638.00,3639.00,3638.00,3639.00,718,0\r\n2006-01-13,13:48:00,3638.00,3639.00,3638.00,3638.00,111,0\r\n2006-01-13,13:49:00,3638.00,3639.00,3638.00,3639.00,410,0\r\n2006-01-13,13:50:00,3639.00,3639.00,3639.00,3639.00,162,0\r\n2006-01-13,13:51:00,3639.00,3639.00,3639.00,3639.00,52,0\r\n2006-01-13,13:52:00,3638.00,3639.00,3638.00,3638.00,1447,0\r\n2006-01-13,13:53:00,3638.00,3639.00,3638.00,3638.00,3059,0\r\n2006-01-13,13:54:00,3639.00,3639.00,3639.00,3639.00,33,0\r\n2006-01-13,13:55:00,3639.00,3640.00,3639.00,3640.00,644,0\r\n2006-01-13,13:56:00,3640.00,3641.00,3640.00,3640.00,1021,0\r\n2006-01-13,13:57:00,3640.00,3642.00,3640.00,3642.00,306,0\r\n2006-01-13,13:58:00,3642.00,3642.00,3641.00,3642.00,703,0\r\n2006-01-13,13:59:00,3642.00,3642.00,3641.00,3642.00,91,0\r\n2006-01-13,14:00:00,3641.00,3642.00,3640.00,3641.00,623,0\r\n2006-01-13,14:01:00,3640.00,3642.00,3640.00,3642.00,887,0\r\n2006-01-13,14:02:00,3642.00,3642.00,3641.00,3642.00,178,0\r\n2006-01-13,14:03:00,3642.00,3643.00,3641.00,3643.00,861,0\r\n2006-01-13,14:04:00,3643.00,3644.00,3642.00,3644.00,429,0\r\n2006-01-13,14:05:00,3644.00,3644.00,3644.00,3644.00,303,0\r\n2006-01-13,14:06:00,3643.00,3644.00,3643.00,3643.00,414,0\r\n2006-01-13,14:07:00,3644.00,3644.00,3642.00,3642.00,1481,0\r\n2006-01-13,14:08:00,3642.00,3642.00,3640.00,3640.00,1125,0\r\n2006-01-13,14:09:00,3640.00,3640.00,3638.00,3639.00,1522,0\r\n2006-01-13,14:10:00,3638.00,3639.00,3638.00,3638.00,1640,0\r\n2006-01-13,14:11:00,3638.00,3639.00,3638.00,3638.00,454,0\r\n2006-01-13,14:12:00,3638.00,3638.00,3637.00,3637.00,276,0\r\n2006-01-13,14:13:00,3637.00,3638.00,3637.00,3638.00,73,0\r\n2006-01-13,14:14:00,3638.00,3638.00,3637.00,3638.00,2548,0\r\n2006-01-13,14:15:00,3638.00,3638.00,3637.00,3638.00,164,0\r\n2006-01-13,14:16:00,3638.00,3639.00,3638.00,3639.00,589,0\r\n2006-01-13,14:17:00,3639.00,3640.00,3639.00,3640.00,2521,0\r\n2006-01-13,14:18:00,3640.00,3640.00,3639.00,3640.00,339,0\r\n2006-01-13,14:19:00,3639.00,3641.00,3639.00,3640.00,627,0\r\n2006-01-13,14:20:00,3640.00,3641.00,3639.00,3641.00,338,0\r\n2006-01-13,14:21:00,3640.00,3641.00,3639.00,3639.00,442,0\r\n2006-01-13,14:22:00,3640.00,3640.00,3639.00,3639.00,554,0\r\n2006-01-13,14:23:00,3640.00,3642.00,3640.00,3642.00,547,0\r\n2006-01-13,14:24:00,3642.00,3642.00,3641.00,3641.00,806,0\r\n2006-01-13,14:25:00,3642.00,3642.00,3642.00,3642.00,210,0\r\n2006-01-13,14:26:00,3642.00,3642.00,3641.00,3642.00,37,0\r\n2006-01-13,14:27:00,3641.00,3642.00,3641.00,3642.00,1087,0\r\n2006-01-13,14:28:00,3642.00,3642.00,3641.00,3642.00,234,0\r\n2006-01-13,14:29:00,3642.00,3642.00,3641.00,3642.00,170,0\r\n2006-01-13,14:30:00,3642.00,3642.00,3641.00,3641.00,396,0\r\n2006-01-13,14:31:00,3640.00,3642.00,3637.00,3639.00,3836,0\r\n2006-01-13,14:32:00,3640.00,3641.00,3639.00,3641.00,990,0\r\n2006-01-13,14:33:00,3641.00,3643.00,3640.00,3642.00,1121,0\r\n2006-01-13,14:34:00,3642.00,3643.00,3641.00,3642.00,1767,0\r\n2006-01-13,14:35:00,3642.00,3643.00,3642.00,3642.00,962,0\r\n2006-01-13,14:36:00,3642.00,3643.00,3642.00,3643.00,711,0\r\n2006-01-13,14:37:00,3642.00,3644.00,3642.00,3644.00,1669,0\r\n2006-01-13,14:38:00,3643.00,3644.00,3643.00,3643.00,1044,0\r\n2006-01-13,14:39:00,3643.00,3644.00,3643.00,3644.00,230,0\r\n2006-01-13,14:40:00,3644.00,3644.00,3643.00,3644.00,847,0\r\n2006-01-13,14:41:00,3645.00,3646.00,3644.00,3645.00,978,0\r\n2006-01-13,14:42:00,3646.00,3646.00,3644.00,3644.00,1432,0\r\n2006-01-13,14:43:00,3644.00,3645.00,3643.00,3643.00,1660,0\r\n2006-01-13,14:44:00,3643.00,3643.00,3643.00,3643.00,307,0\r\n2006-01-13,14:45:00,3643.00,3644.00,3643.00,3644.00,504,0\r\n2006-01-13,14:46:00,3643.00,3643.00,3642.00,3643.00,597,0\r\n2006-01-13,14:47:00,3643.00,3643.00,3641.00,3642.00,2249,0\r\n2006-01-13,14:48:00,3642.00,3643.00,3641.00,3642.00,351,0\r\n2006-01-13,14:49:00,3642.00,3642.00,3641.00,3642.00,556,0\r\n2006-01-13,14:50:00,3642.00,3642.00,3642.00,3642.00,1143,0\r\n2006-01-13,14:51:00,3642.00,3643.00,3642.00,3642.00,109,0\r\n2006-01-13,14:52:00,3642.00,3642.00,3641.00,3641.00,1574,0\r\n2006-01-13,14:53:00,3642.00,3642.00,3640.00,3641.00,907,0\r\n2006-01-13,14:54:00,3641.00,3643.00,3641.00,3643.00,1098,0\r\n2006-01-13,14:55:00,3643.00,3643.00,3642.00,3643.00,23,0\r\n2006-01-13,14:56:00,3643.00,3643.00,3643.00,3643.00,305,0\r\n2006-01-13,14:57:00,3643.00,3643.00,3643.00,3643.00,138,0\r\n2006-01-13,14:58:00,3643.00,3643.00,3643.00,3643.00,1230,0\r\n2006-01-13,14:59:00,3642.00,3643.00,3642.00,3642.00,412,0\r\n2006-01-13,15:00:00,3643.00,3643.00,3642.00,3642.00,342,0\r\n2006-01-13,15:01:00,3642.00,3642.00,3641.00,3642.00,157,0\r\n2006-01-13,15:02:00,3642.00,3642.00,3641.00,3641.00,736,0\r\n2006-01-13,15:03:00,3642.00,3642.00,3641.00,3641.00,912,0\r\n2006-01-13,15:04:00,3642.00,3642.00,3641.00,3641.00,771,0\r\n2006-01-13,15:05:00,3642.00,3642.00,3641.00,3642.00,1288,0\r\n2006-01-13,15:06:00,3642.00,3642.00,3642.00,3642.00,8,0\r\n2006-01-13,15:07:00,3641.00,3642.00,3641.00,3641.00,701,0\r\n2006-01-13,15:08:00,3641.00,3642.00,3641.00,3642.00,367,0\r\n2006-01-13,15:09:00,3641.00,3642.00,3640.00,3641.00,329,0\r\n2006-01-13,15:10:00,3641.00,3641.00,3640.00,3641.00,32,0\r\n2006-01-13,15:11:00,3641.00,3641.00,3641.00,3641.00,37,0\r\n2006-01-13,15:12:00,3641.00,3642.00,3641.00,3642.00,754,0\r\n2006-01-13,15:13:00,3641.00,3642.00,3641.00,3642.00,7,0\r\n2006-01-13,15:14:00,3642.00,3642.00,3642.00,3642.00,221,0\r\n2006-01-13,15:15:00,3641.00,3641.00,3640.00,3640.00,740,0\r\n2006-01-13,15:16:00,3640.00,3641.00,3640.00,3640.00,94,0\r\n2006-01-13,15:17:00,3640.00,3641.00,3639.00,3640.00,820,0\r\n2006-01-13,15:18:00,3639.00,3640.00,3637.00,3638.00,2040,0\r\n2006-01-13,15:19:00,3638.00,3639.00,3638.00,3639.00,306,0\r\n2006-01-13,15:20:00,3639.00,3639.00,3637.00,3638.00,1514,0\r\n2006-01-13,15:21:00,3638.00,3638.00,3637.00,3638.00,911,0\r\n2006-01-13,15:22:00,3639.00,3639.00,3638.00,3638.00,766,0\r\n2006-01-13,15:23:00,3639.00,3639.00,3638.00,3639.00,157,0\r\n2006-01-13,15:24:00,3639.00,3639.00,3637.00,3638.00,953,0\r\n2006-01-13,15:25:00,3638.00,3638.00,3637.00,3637.00,199,0\r\n2006-01-13,15:26:00,3638.00,3639.00,3637.00,3638.00,980,0\r\n2006-01-13,15:27:00,3638.00,3639.00,3638.00,3638.00,315,0\r\n2006-01-13,15:28:00,3638.00,3639.00,3638.00,3639.00,315,0\r\n2006-01-13,15:29:00,3638.00,3639.00,3638.00,3638.00,6,0\r\n2006-01-13,15:30:00,3638.00,3638.00,3637.00,3638.00,885,0\r\n2006-01-13,15:31:00,3638.00,3640.00,3638.00,3640.00,2131,0\r\n2006-01-13,15:32:00,3640.00,3641.00,3639.00,3639.00,1501,0\r\n2006-01-13,15:33:00,3640.00,3641.00,3640.00,3640.00,1057,0\r\n2006-01-13,15:34:00,3641.00,3641.00,3640.00,3640.00,751,0\r\n2006-01-13,15:35:00,3640.00,3641.00,3639.00,3640.00,381,0\r\n2006-01-13,15:36:00,3641.00,3641.00,3640.00,3641.00,1231,0\r\n2006-01-13,15:37:00,3641.00,3642.00,3640.00,3642.00,643,0\r\n2006-01-13,15:38:00,3641.00,3642.00,3641.00,3642.00,772,0\r\n2006-01-13,15:39:00,3642.00,3644.00,3641.00,3643.00,1652,0\r\n2006-01-13,15:40:00,3644.00,3644.00,3643.00,3643.00,1225,0\r\n2006-01-13,15:41:00,3644.00,3645.00,3644.00,3645.00,1724,0\r\n2006-01-13,15:42:00,3645.00,3645.00,3642.00,3642.00,1443,0\r\n2006-01-13,15:43:00,3643.00,3643.00,3641.00,3641.00,1126,0\r\n2006-01-13,15:44:00,3641.00,3642.00,3641.00,3641.00,723,0\r\n2006-01-13,15:45:00,3641.00,3642.00,3640.00,3640.00,1296,0\r\n2006-01-13,15:46:00,3641.00,3642.00,3641.00,3641.00,1335,0\r\n2006-01-13,15:47:00,3641.00,3641.00,3640.00,3641.00,496,0\r\n2006-01-13,15:48:00,3641.00,3641.00,3640.00,3640.00,27,0\r\n2006-01-13,15:49:00,3640.00,3641.00,3640.00,3641.00,766,0\r\n2006-01-13,15:50:00,3641.00,3641.00,3640.00,3640.00,757,0\r\n2006-01-13,15:51:00,3640.00,3640.00,3639.00,3640.00,786,0\r\n2006-01-13,15:52:00,3639.00,3641.00,3639.00,3640.00,1194,0\r\n2006-01-13,15:53:00,3640.00,3640.00,3640.00,3640.00,65,0\r\n2006-01-13,15:54:00,3640.00,3641.00,3639.00,3640.00,2024,0\r\n2006-01-13,15:55:00,3641.00,3641.00,3640.00,3641.00,1640,0\r\n2006-01-13,15:56:00,3641.00,3643.00,3641.00,3643.00,763,0\r\n2006-01-13,15:57:00,3643.00,3643.00,3642.00,3642.00,789,0\r\n2006-01-13,15:58:00,3642.00,3642.00,3641.00,3642.00,75,0\r\n2006-01-13,15:59:00,3642.00,3642.00,3641.00,3642.00,982,0\r\n2006-01-13,16:00:00,3642.00,3642.00,3641.00,3642.00,536,0\r\n2006-01-13,16:01:00,3642.00,3642.00,3641.00,3642.00,380,0\r\n2006-01-13,16:02:00,3642.00,3643.00,3641.00,3641.00,2023,0\r\n2006-01-13,16:03:00,3642.00,3642.00,3640.00,3641.00,898,0\r\n2006-01-13,16:04:00,3641.00,3642.00,3640.00,3641.00,740,0\r\n2006-01-13,16:05:00,3642.00,3642.00,3641.00,3641.00,139,0\r\n2006-01-13,16:06:00,3642.00,3642.00,3641.00,3642.00,1187,0\r\n2006-01-13,16:07:00,3642.00,3643.00,3642.00,3642.00,933,0\r\n2006-01-13,16:08:00,3642.00,3643.00,3642.00,3642.00,958,0\r\n2006-01-13,16:09:00,3642.00,3642.00,3642.00,3642.00,255,0\r\n2006-01-13,16:10:00,3643.00,3644.00,3642.00,3642.00,1142,0\r\n2006-01-13,16:11:00,3642.00,3642.00,3640.00,3641.00,1289,0\r\n2006-01-13,16:12:00,3641.00,3641.00,3639.00,3640.00,484,0\r\n2006-01-13,16:13:00,3640.00,3641.00,3638.00,3638.00,988,0\r\n2006-01-13,16:14:00,3638.00,3639.00,3638.00,3638.00,1249,0\r\n2006-01-13,16:15:00,3638.00,3638.00,3636.00,3636.00,2494,0\r\n2006-01-13,16:16:00,3636.00,3637.00,3636.00,3636.00,2106,0\r\n2006-01-13,16:17:00,3636.00,3636.00,3635.00,3636.00,3800,0\r\n2006-01-13,16:18:00,3636.00,3637.00,3634.00,3635.00,2437,0\r\n2006-01-13,16:19:00,3635.00,3635.00,3633.00,3634.00,16582,0\r\n2006-01-13,16:20:00,3634.00,3635.00,3633.00,3635.00,1880,0\r\n2006-01-13,16:21:00,3634.00,3636.00,3634.00,3635.00,2451,0\r\n2006-01-13,16:22:00,3634.00,3635.00,3633.00,3633.00,1140,0\r\n2006-01-13,16:23:00,3633.00,3636.00,3633.00,3636.00,2968,0\r\n2006-01-13,16:24:00,3636.00,3637.00,3635.00,3636.00,1015,0\r\n2006-01-13,16:25:00,3637.00,3637.00,3636.00,3636.00,488,0\r\n2006-01-13,16:26:00,3636.00,3637.00,3634.00,3634.00,1604,0\r\n2006-01-13,16:27:00,3634.00,3634.00,3632.00,3634.00,2294,0\r\n2006-01-13,16:28:00,3634.00,3635.00,3633.00,3635.00,1567,0\r\n2006-01-13,16:29:00,3634.00,3635.00,3634.00,3635.00,1049,0\r\n2006-01-13,16:30:00,3635.00,3636.00,3635.00,3636.00,638,0\r\n2006-01-13,16:31:00,3636.00,3636.00,3635.00,3636.00,1093,0\r\n2006-01-13,16:32:00,3636.00,3636.00,3634.00,3634.00,1526,0\r\n2006-01-13,16:33:00,3634.00,3635.00,3633.00,3633.00,1415,0\r\n2006-01-13,16:34:00,3633.00,3635.00,3632.00,3635.00,730,0\r\n2006-01-13,16:35:00,3635.00,3636.00,3635.00,3635.00,676,0\r\n2006-01-13,16:36:00,3634.00,3635.00,3634.00,3635.00,702,0\r\n2006-01-13,16:37:00,3635.00,3636.00,3635.00,3636.00,12,0\r\n2006-01-13,16:38:00,3635.00,3635.00,3634.00,3635.00,493,0\r\n2006-01-13,16:39:00,3636.00,3636.00,3636.00,3636.00,78,0\r\n2006-01-13,16:40:00,3635.00,3636.00,3635.00,3636.00,884,0\r\n2006-01-13,16:41:00,3635.00,3636.00,3634.00,3635.00,1243,0\r\n2006-01-13,16:42:00,3634.00,3635.00,3634.00,3634.00,689,0\r\n2006-01-13,16:43:00,3634.00,3635.00,3634.00,3634.00,2032,0\r\n2006-01-13,16:44:00,3634.00,3634.00,3633.00,3633.00,756,0\r\n2006-01-13,16:45:00,3633.00,3633.00,3630.00,3630.00,3759,0\r\n2006-01-13,16:46:00,3630.00,3631.00,3629.00,3629.00,3357,0\r\n2006-01-13,16:47:00,3629.00,3630.00,3628.00,3629.00,2087,0\r\n2006-01-13,16:48:00,3629.00,3631.00,3629.00,3631.00,2958,0\r\n2006-01-13,16:49:00,3631.00,3632.00,3630.00,3631.00,2016,0\r\n2006-01-13,16:50:00,3631.00,3631.00,3629.00,3629.00,1852,0\r\n2006-01-13,16:51:00,3629.00,3631.00,3628.00,3631.00,2521,0\r\n2006-01-13,16:52:00,3630.00,3631.00,3628.00,3629.00,1808,0\r\n2006-01-13,16:53:00,3630.00,3631.00,3630.00,3631.00,1550,0\r\n2006-01-13,16:54:00,3630.00,3632.00,3630.00,3632.00,3056,0\r\n2006-01-13,16:55:00,3632.00,3633.00,3632.00,3632.00,1409,0\r\n2006-01-13,16:56:00,3633.00,3633.00,3632.00,3632.00,1262,0\r\n2006-01-13,16:57:00,3632.00,3633.00,3631.00,3633.00,1575,0\r\n2006-01-13,16:58:00,3633.00,3634.00,3632.00,3633.00,1292,0\r\n2006-01-13,16:59:00,3633.00,3635.00,3632.00,3634.00,2292,0\r\n2006-01-13,17:00:00,3634.00,3634.00,3633.00,3633.00,603,0\r\n2006-01-13,17:01:00,3633.00,3635.00,3633.00,3635.00,2145,0\r\n2006-01-13,17:02:00,3635.00,3636.00,3634.00,3635.00,985,0\r\n2006-01-13,17:03:00,3635.00,3637.00,3635.00,3636.00,1258,0\r\n2006-01-13,17:04:00,3636.00,3637.00,3636.00,3636.00,1608,0\r\n2006-01-13,17:05:00,3636.00,3636.00,3635.00,3635.00,1090,0\r\n2006-01-13,17:06:00,3636.00,3636.00,3635.00,3635.00,62,0\r\n2006-01-13,17:07:00,3635.00,3636.00,3635.00,3636.00,1058,0\r\n2006-01-13,17:08:00,3635.00,3636.00,3635.00,3635.00,934,0\r\n2006-01-13,17:09:00,3635.00,3636.00,3635.00,3636.00,228,0\r\n2006-01-13,17:10:00,3636.00,3636.00,3635.00,3635.00,784,0\r\n2006-01-13,17:11:00,3635.00,3637.00,3635.00,3637.00,1380,0\r\n2006-01-13,17:12:00,3637.00,3639.00,3637.00,3638.00,1896,0\r\n2006-01-13,17:13:00,3638.00,3639.00,3638.00,3639.00,518,0\r\n2006-01-13,17:14:00,3639.00,3639.00,3638.00,3639.00,1142,0\r\n2006-01-13,17:15:00,3639.00,3640.00,3638.00,3640.00,2812,0\r\n2006-01-13,17:16:00,3640.00,3641.00,3640.00,3641.00,933,0\r\n2006-01-13,17:17:00,3641.00,3643.00,3641.00,3642.00,2829,0\r\n2006-01-13,17:18:00,3642.00,3643.00,3642.00,3642.00,1145,0\r\n2006-01-13,17:19:00,3643.00,3643.00,3641.00,3641.00,1272,0\r\n2006-01-13,17:20:00,3641.00,3642.00,3641.00,3641.00,875,0\r\n2006-01-13,17:21:00,3641.00,3642.00,3640.00,3641.00,1217,0\r\n2006-01-13,17:22:00,3640.00,3640.00,3639.00,3639.00,2449,0\r\n2006-01-13,17:23:00,3639.00,3640.00,3638.00,3639.00,1557,0\r\n2006-01-13,17:24:00,3639.00,3639.00,3638.00,3639.00,850,0\r\n2006-01-13,17:25:00,3639.00,3641.00,3639.00,3640.00,1384,0\r\n2006-01-13,17:26:00,3640.00,3642.00,3640.00,3641.00,1262,0\r\n2006-01-13,17:27:00,3641.00,3642.00,3641.00,3642.00,1329,0\r\n2006-01-13,17:28:00,3642.00,3643.00,3641.00,3641.00,1314,0\r\n2006-01-13,17:29:00,3641.00,3642.00,3641.00,3641.00,1585,0\r\n2006-01-13,17:30:00,3641.00,3642.00,3641.00,3641.00,4272,0\r\n2006-01-13,17:31:00,3642.00,3643.00,3641.00,3643.00,5075,0\r\n2006-01-13,17:32:00,3643.00,3643.00,3642.00,3643.00,1698,0\r\n2006-01-13,17:33:00,3643.00,3643.00,3642.00,3642.00,1930,0\r\n2006-01-13,17:34:00,3643.00,3643.00,3642.00,3642.00,1826,0\r\n2006-01-13,17:35:00,3642.00,3643.00,3641.00,3642.00,1212,0\r\n2006-01-13,17:36:00,3642.00,3642.00,3640.00,3641.00,2165,0\r\n2006-01-13,17:37:00,3642.00,3642.00,3641.00,3642.00,2710,0\r\n2006-01-13,17:38:00,3642.00,3642.00,3640.00,3641.00,1025,0\r\n2006-01-13,17:39:00,3641.00,3641.00,3640.00,3641.00,250,0\r\n2006-01-13,17:40:00,3640.00,3641.00,3640.00,3641.00,504,0\r\n2006-01-13,17:41:00,3640.00,3641.00,3640.00,3641.00,2614,0\r\n2006-01-13,17:42:00,3641.00,3642.00,3641.00,3641.00,219,0\r\n2006-01-13,17:43:00,3640.00,3640.00,3640.00,3640.00,627,0\r\n2006-01-13,17:44:00,3640.00,3641.00,3640.00,3641.00,330,0\r\n2006-01-13,17:45:00,3640.00,3641.00,3640.00,3640.00,788,0\r\n2006-01-13,17:46:00,3641.00,3641.00,3639.00,3639.00,397,0\r\n2006-01-13,17:47:00,3639.00,3639.00,3638.00,3639.00,881,0\r\n2006-01-13,17:48:00,3638.00,3639.00,3638.00,3638.00,172,0\r\n2006-01-13,17:49:00,3639.00,3639.00,3638.00,3639.00,79,0\r\n2006-01-13,17:50:00,3638.00,3638.00,3637.00,3637.00,395,0\r\n2006-01-13,17:51:00,3637.00,3638.00,3637.00,3638.00,171,0\r\n2006-01-13,17:52:00,3638.00,3638.00,3637.00,3638.00,213,0\r\n2006-01-13,17:53:00,3637.00,3638.00,3637.00,3638.00,782,0\r\n2006-01-13,17:54:00,3639.00,3639.00,3639.00,3639.00,75,0\r\n2006-01-13,17:55:00,3639.00,3639.00,3637.00,3637.00,703,0\r\n2006-01-13,17:56:00,3637.00,3637.00,3636.00,3636.00,787,0\r\n2006-01-13,17:57:00,3636.00,3637.00,3636.00,3636.00,419,0\r\n2006-01-13,17:58:00,3636.00,3637.00,3635.00,3636.00,196,0\r\n2006-01-13,17:59:00,3635.00,3635.00,3634.00,3634.00,347,0\r\n2006-01-13,18:00:00,3634.00,3635.00,3634.00,3635.00,624,0\r\n2006-01-13,18:01:00,3635.00,3636.00,3635.00,3636.00,929,0\r\n2006-01-13,18:02:00,3636.00,3636.00,3636.00,3636.00,70,0\r\n2006-01-13,18:03:00,3636.00,3637.00,3635.00,3637.00,341,0\r\n2006-01-13,18:04:00,3636.00,3637.00,3636.00,3637.00,14,0\r\n2006-01-13,18:05:00,3637.00,3637.00,3636.00,3636.00,22,0\r\n2006-01-13,18:06:00,3637.00,3637.00,3636.00,3636.00,517,0\r\n2006-01-13,18:07:00,3635.00,3635.00,3635.00,3635.00,49,0\r\n2006-01-13,18:08:00,3635.00,3635.00,3634.00,3634.00,374,0\r\n2006-01-13,18:09:00,3634.00,3635.00,3634.00,3634.00,837,0\r\n2006-01-13,18:10:00,3633.00,3633.00,3633.00,3633.00,1034,0\r\n2006-01-13,18:11:00,3634.00,3634.00,3633.00,3633.00,747,0\r\n2006-01-13,18:12:00,3634.00,3634.00,3633.00,3634.00,580,0\r\n2006-01-13,18:13:00,3634.00,3634.00,3634.00,3634.00,56,0\r\n2006-01-13,18:14:00,3633.00,3634.00,3633.00,3634.00,134,0\r\n2006-01-13,18:15:00,3634.00,3634.00,3634.00,3634.00,14,0\r\n2006-01-13,18:16:00,3635.00,3635.00,3634.00,3635.00,328,0\r\n2006-01-13,18:17:00,3635.00,3635.00,3635.00,3635.00,229,0\r\n2006-01-13,18:18:00,3635.00,3635.00,3634.00,3635.00,124,0\r\n2006-01-13,18:20:00,3634.00,3635.00,3634.00,3634.00,60,0\r\n2006-01-13,18:21:00,3635.00,3636.00,3635.00,3636.00,594,0\r\n2006-01-13,18:22:00,3636.00,3637.00,3636.00,3637.00,65,0\r\n2006-01-13,18:23:00,3637.00,3637.00,3637.00,3637.00,238,0\r\n2006-01-13,18:24:00,3637.00,3638.00,3636.00,3637.00,191,0\r\n2006-01-13,18:25:00,3637.00,3637.00,3637.00,3637.00,5,0\r\n2006-01-13,18:27:00,3638.00,3638.00,3638.00,3638.00,84,0\r\n2006-01-13,18:28:00,3637.00,3638.00,3637.00,3637.00,301,0\r\n2006-01-13,18:29:00,3637.00,3638.00,3637.00,3637.00,122,0\r\n2006-01-13,18:30:00,3637.00,3637.00,3637.00,3637.00,98,0\r\n2006-01-13,18:31:00,3637.00,3637.00,3636.00,3637.00,28,0\r\n2006-01-13,18:32:00,3636.00,3637.00,3636.00,3636.00,59,0\r\n2006-01-13,18:33:00,3636.00,3636.00,3636.00,3636.00,30,0\r\n2006-01-13,18:34:00,3636.00,3636.00,3636.00,3636.00,102,0\r\n2006-01-13,18:35:00,3636.00,3637.00,3636.00,3636.00,214,0\r\n2006-01-13,18:36:00,3636.00,3636.00,3635.00,3636.00,240,0\r\n2006-01-13,18:37:00,3636.00,3636.00,3634.00,3634.00,296,0\r\n2006-01-13,18:38:00,3634.00,3634.00,3634.00,3634.00,260,0\r\n2006-01-13,18:39:00,3633.00,3633.00,3632.00,3633.00,350,0\r\n2006-01-13,18:40:00,3633.00,3633.00,3632.00,3633.00,382,0\r\n2006-01-13,18:41:00,3633.00,3633.00,3633.00,3633.00,106,0\r\n2006-01-13,18:42:00,3633.00,3633.00,3632.00,3633.00,10,0\r\n2006-01-13,18:43:00,3632.00,3632.00,3631.00,3631.00,730,0\r\n2006-01-13,18:44:00,3631.00,3631.00,3629.00,3629.00,751,0\r\n2006-01-13,18:45:00,3629.00,3629.00,3624.00,3625.00,2611,0\r\n2006-01-13,18:46:00,3625.00,3625.00,3623.00,3624.00,1071,0\r\n2006-01-13,18:47:00,3624.00,3627.00,3623.00,3627.00,521,0\r\n2006-01-13,18:48:00,3626.00,3627.00,3626.00,3627.00,347,0\r\n2006-01-13,18:49:00,3626.00,3628.00,3626.00,3628.00,350,0\r\n2006-01-13,18:50:00,3627.00,3628.00,3626.00,3626.00,611,0\r\n2006-01-13,18:51:00,3626.00,3627.00,3626.00,3627.00,991,0\r\n2006-01-13,18:52:00,3627.00,3629.00,3627.00,3627.00,244,0\r\n2006-01-13,18:53:00,3627.00,3629.00,3627.00,3629.00,334,0\r\n2006-01-13,18:54:00,3628.00,3630.00,3628.00,3630.00,329,0\r\n2006-01-13,18:55:00,3630.00,3630.00,3630.00,3630.00,225,0\r\n2006-01-13,18:56:00,3629.00,3629.00,3629.00,3629.00,34,0\r\n2006-01-13,18:57:00,3629.00,3629.00,3628.00,3629.00,320,0\r\n2006-01-13,18:58:00,3629.00,3629.00,3628.00,3629.00,248,0\r\n2006-01-13,18:59:00,3629.00,3629.00,3628.00,3628.00,42,0\r\n2006-01-13,19:00:00,3628.00,3629.00,3628.00,3628.00,461,0\r\n2006-01-13,19:01:00,3628.00,3629.00,3628.00,3628.00,84,0\r\n2006-01-13,19:02:00,3629.00,3630.00,3629.00,3630.00,190,0\r\n2006-01-13,19:03:00,3630.00,3630.00,3629.00,3630.00,20,0\r\n2006-01-13,19:04:00,3630.00,3631.00,3630.00,3630.00,315,0\r\n2006-01-13,19:05:00,3630.00,3632.00,3630.00,3631.00,354,0\r\n2006-01-13,19:06:00,3631.00,3632.00,3630.00,3631.00,218,0\r\n2006-01-13,19:07:00,3630.00,3630.00,3630.00,3630.00,54,0\r\n2006-01-13,19:08:00,3631.00,3631.00,3631.00,3631.00,9,0\r\n2006-01-13,19:09:00,3630.00,3630.00,3630.00,3630.00,36,0\r\n2006-01-13,19:10:00,3630.00,3630.00,3629.00,3629.00,364,0\r\n2006-01-13,19:11:00,3628.00,3629.00,3628.00,3628.00,179,0\r\n2006-01-13,19:12:00,3629.00,3629.00,3628.00,3628.00,219,0\r\n2006-01-13,19:13:00,3627.00,3628.00,3627.00,3628.00,7,0\r\n2006-01-13,19:14:00,3628.00,3628.00,3628.00,3628.00,247,0\r\n2006-01-13,19:15:00,3628.00,3628.00,3627.00,3627.00,128,0\r\n2006-01-13,19:16:00,3627.00,3627.00,3627.00,3627.00,379,0\r\n2006-01-13,19:17:00,3626.00,3627.00,3626.00,3626.00,312,0\r\n2006-01-13,19:18:00,3627.00,3627.00,3627.00,3627.00,31,0\r\n2006-01-13,19:19:00,3627.00,3627.00,3627.00,3627.00,48,0\r\n2006-01-13,19:20:00,3628.00,3628.00,3628.00,3628.00,38,0\r\n2006-01-13,19:21:00,3628.00,3629.00,3628.00,3629.00,37,0\r\n2006-01-13,19:22:00,3628.00,3628.00,3628.00,3628.00,10,0\r\n2006-01-13,19:23:00,3628.00,3628.00,3628.00,3628.00,103,0\r\n2006-01-13,19:24:00,3628.00,3629.00,3628.00,3629.00,33,0\r\n2006-01-13,19:25:00,3628.00,3629.00,3628.00,3629.00,51,0\r\n2006-01-13,19:26:00,3628.00,3628.00,3628.00,3628.00,180,0\r\n2006-01-13,19:27:00,3629.00,3630.00,3629.00,3630.00,45,0\r\n2006-01-13,19:28:00,3630.00,3630.00,3630.00,3630.00,7,0\r\n2006-01-13,19:30:00,3630.00,3630.00,3629.00,3629.00,91,0\r\n2006-01-13,19:31:00,3629.00,3629.00,3629.00,3629.00,77,0\r\n2006-01-13,19:33:00,3629.00,3630.00,3629.00,3630.00,175,0\r\n2006-01-13,19:34:00,3629.00,3630.00,3629.00,3630.00,114,0\r\n2006-01-13,19:35:00,3630.00,3630.00,3629.00,3629.00,15,0\r\n2006-01-13,19:36:00,3629.00,3629.00,3629.00,3629.00,89,0\r\n2006-01-13,19:37:00,3629.00,3629.00,3629.00,3629.00,15,0\r\n2006-01-13,19:38:00,3630.00,3630.00,3627.00,3628.00,129,0\r\n2006-01-13,19:39:00,3628.00,3628.00,3627.00,3627.00,147,0\r\n2006-01-13,19:40:00,3628.00,3628.00,3627.00,3627.00,6,0\r\n2006-01-13,19:41:00,3627.00,3628.00,3627.00,3627.00,32,0\r\n2006-01-13,19:42:00,3627.00,3628.00,3627.00,3628.00,147,0\r\n2006-01-13,19:43:00,3627.00,3627.00,3626.00,3626.00,31,0\r\n2006-01-13,19:44:00,3626.00,3626.00,3626.00,3626.00,1,0\r\n2006-01-13,19:45:00,3627.00,3627.00,3627.00,3627.00,35,0\r\n2006-01-13,19:46:00,3627.00,3627.00,3626.00,3626.00,167,0\r\n2006-01-13,19:47:00,3626.00,3627.00,3626.00,3627.00,25,0\r\n2006-01-13,19:48:00,3626.00,3627.00,3626.00,3626.00,117,0\r\n2006-01-13,19:49:00,3626.00,3626.00,3626.00,3626.00,49,0\r\n2006-01-13,19:50:00,3626.00,3627.00,3626.00,3626.00,92,0\r\n2006-01-13,19:51:00,3626.00,3627.00,3625.00,3626.00,469,0\r\n2006-01-13,19:52:00,3626.00,3629.00,3626.00,3629.00,242,0\r\n2006-01-13,19:53:00,3629.00,3629.00,3628.00,3629.00,14,0\r\n2006-01-13,19:54:00,3629.00,3630.00,3629.00,3630.00,90,0\r\n2006-01-13,19:56:00,3630.00,3630.00,3629.00,3629.00,105,0\r\n2006-01-13,19:57:00,3630.00,3630.00,3629.00,3629.00,5,0\r\n2006-01-13,19:58:00,3630.00,3630.00,3630.00,3630.00,1,0\r\n2006-01-13,19:59:00,3630.00,3631.00,3629.00,3631.00,116,0\r\n2006-01-13,20:00:00,3631.00,3632.00,3631.00,3631.00,184,0\r\n2006-01-13,20:01:00,3630.00,3631.00,3630.00,3631.00,174,0\r\n2006-01-13,20:02:00,3630.00,3631.00,3630.00,3631.00,54,0\r\n2006-01-13,20:03:00,3632.00,3632.00,3630.00,3630.00,281,0\r\n2006-01-13,20:04:00,3630.00,3630.00,3630.00,3630.00,10,0\r\n2006-01-13,20:05:00,3631.00,3631.00,3631.00,3631.00,54,0\r\n2006-01-13,20:06:00,3631.00,3631.00,3631.00,3631.00,5,0\r\n2006-01-13,20:07:00,3630.00,3631.00,3630.00,3631.00,5,0\r\n2006-01-13,20:08:00,3631.00,3631.00,3631.00,3631.00,26,0\r\n2006-01-13,20:10:00,3631.00,3631.00,3630.00,3630.00,210,0\r\n2006-01-13,20:12:00,3631.00,3631.00,3630.00,3630.00,128,0\r\n2006-01-13,20:13:00,3630.00,3630.00,3629.00,3630.00,192,0\r\n2006-01-13,20:14:00,3629.00,3630.00,3629.00,3630.00,45,0\r\n2006-01-13,20:15:00,3629.00,3629.00,3628.00,3628.00,160,0\r\n2006-01-13,20:16:00,3628.00,3629.00,3628.00,3629.00,155,0\r\n2006-01-13,20:17:00,3629.00,3630.00,3629.00,3630.00,63,0\r\n2006-01-13,20:18:00,3630.00,3630.00,3630.00,3630.00,6,0\r\n2006-01-13,20:19:00,3630.00,3630.00,3630.00,3630.00,4,0\r\n2006-01-13,20:20:00,3631.00,3631.00,3631.00,3631.00,11,0\r\n2006-01-13,20:23:00,3632.00,3632.00,3632.00,3632.00,20,0\r\n2006-01-13,20:24:00,3632.00,3632.00,3632.00,3632.00,111,0\r\n2006-01-13,20:25:00,3632.00,3632.00,3632.00,3632.00,57,0\r\n2006-01-13,20:28:00,3632.00,3633.00,3632.00,3632.00,225,0\r\n2006-01-13,20:29:00,3632.00,3632.00,3631.00,3631.00,3,0\r\n2006-01-13,20:31:00,3632.00,3632.00,3632.00,3632.00,10,0\r\n2006-01-13,20:32:00,3632.00,3632.00,3631.00,3631.00,152,0\r\n2006-01-13,20:34:00,3631.00,3631.00,3631.00,3631.00,5,0\r\n2006-01-13,20:36:00,3632.00,3633.00,3632.00,3632.00,35,0\r\n2006-01-13,20:37:00,3632.00,3632.00,3632.00,3632.00,46,0\r\n2006-01-13,20:38:00,3632.00,3632.00,3631.00,3632.00,97,0\r\n2006-01-13,20:39:00,3632.00,3632.00,3632.00,3632.00,56,0\r\n2006-01-13,20:40:00,3632.00,3632.00,3632.00,3632.00,53,0\r\n2006-01-13,20:41:00,3632.00,3633.00,3632.00,3633.00,162,0\r\n2006-01-13,20:42:00,3632.00,3634.00,3632.00,3634.00,439,0\r\n2006-01-13,20:43:00,3633.00,3634.00,3632.00,3632.00,86,0\r\n2006-01-13,20:45:00,3633.00,3633.00,3633.00,3633.00,10,0\r\n2006-01-13,20:46:00,3633.00,3633.00,3633.00,3633.00,7,0\r\n2006-01-13,20:47:00,3633.00,3633.00,3633.00,3633.00,53,0\r\n2006-01-13,20:48:00,3633.00,3633.00,3633.00,3633.00,36,0\r\n2006-01-13,20:49:00,3633.00,3634.00,3633.00,3634.00,42,0\r\n2006-01-13,20:50:00,3635.00,3636.00,3635.00,3636.00,149,0\r\n2006-01-13,20:51:00,3636.00,3636.00,3636.00,3636.00,34,0\r\n2006-01-13,20:52:00,3635.00,3635.00,3635.00,3635.00,136,0\r\n2006-01-13,20:53:00,3636.00,3639.00,3635.00,3637.00,432,0\r\n2006-01-13,20:54:00,3638.00,3639.00,3637.00,3638.00,97,0\r\n2006-01-13,20:55:00,3638.00,3639.00,3638.00,3639.00,55,0\r\n2006-01-13,20:56:00,3638.00,3639.00,3636.00,3636.00,7,0\r\n2006-01-13,20:57:00,3637.00,3638.00,3637.00,3638.00,204,0\r\n2006-01-13,20:58:00,3637.00,3637.00,3637.00,3637.00,2,0\r\n2006-01-13,20:59:00,3638.00,3638.00,3638.00,3638.00,10,0\r\n2006-01-13,21:00:00,3638.00,3638.00,3638.00,3638.00,74,0\r\n2006-01-13,21:01:00,3638.00,3638.00,3637.00,3637.00,59,0\r\n2006-01-13,21:03:00,3637.00,3637.00,3637.00,3637.00,11,0\r\n2006-01-13,21:04:00,3636.00,3637.00,3636.00,3637.00,7,0\r\n2006-01-13,21:05:00,3637.00,3637.00,3637.00,3637.00,1,0\r\n2006-01-13,21:06:00,3636.00,3636.00,3636.00,3636.00,5,0\r\n2006-01-13,21:08:00,3636.00,3637.00,3636.00,3637.00,5,0\r\n2006-01-13,21:11:00,3636.00,3636.00,3636.00,3636.00,19,0\r\n2006-01-13,21:12:00,3636.00,3636.00,3636.00,3636.00,2,0\r\n2006-01-13,21:14:00,3635.00,3635.00,3635.00,3635.00,55,0\r\n2006-01-13,21:15:00,3635.00,3635.00,3635.00,3635.00,1,0\r\n2006-01-13,21:17:00,3635.00,3635.00,3635.00,3635.00,1,0\r\n2006-01-13,21:18:00,3635.00,3635.00,3635.00,3635.00,9,0\r\n2006-01-13,21:21:00,3636.00,3636.00,3636.00,3636.00,1,0\r\n2006-01-13,21:22:00,3636.00,3636.00,3636.00,3636.00,2,0\r\n2006-01-13,21:23:00,3636.00,3636.00,3636.00,3636.00,8,0\r\n2006-01-13,21:25:00,3636.00,3636.00,3635.00,3635.00,2,0\r\n2006-01-13,21:26:00,3636.00,3636.00,3635.00,3636.00,7,0\r\n2006-01-13,21:27:00,3636.00,3636.00,3636.00,3636.00,1,0\r\n2006-01-13,21:28:00,3636.00,3636.00,3636.00,3636.00,1,0\r\n2006-01-13,21:29:00,3636.00,3637.00,3636.00,3637.00,5,0\r\n2006-01-13,21:30:00,3636.00,3636.00,3636.00,3636.00,1,0\r\n2006-01-13,21:31:00,3636.00,3637.00,3636.00,3637.00,6,0\r\n2006-01-13,21:32:00,3635.00,3635.00,3635.00,3635.00,1,0\r\n2006-01-13,21:33:00,3635.00,3635.00,3635.00,3635.00,1,0\r\n2006-01-13,21:34:00,3635.00,3635.00,3635.00,3635.00,6,0\r\n2006-01-13,21:39:00,3637.00,3637.00,3637.00,3637.00,23,0\r\n2006-01-13,21:40:00,3637.00,3637.00,3636.00,3637.00,45,0\r\n2006-01-13,21:44:00,3636.00,3637.00,3636.00,3636.00,10,0\r\n2006-01-13,21:45:00,3637.00,3637.00,3637.00,3637.00,60,0\r\n2006-01-13,21:46:00,3636.00,3636.00,3636.00,3636.00,10,0\r\n2006-01-13,21:47:00,3637.00,3637.00,3637.00,3637.00,27,0\r\n2006-01-13,21:48:00,3637.00,3638.00,3637.00,3638.00,102,0\r\n2006-01-13,21:49:00,3637.00,3638.00,3637.00,3638.00,6,0\r\n2006-01-13,21:50:00,3638.00,3638.00,3637.00,3637.00,26,0\r\n2006-01-13,21:51:00,3637.00,3638.00,3637.00,3638.00,25,0\r\n2006-01-13,21:52:00,3638.00,3638.00,3638.00,3638.00,2,0\r\n2006-01-13,21:53:00,3638.00,3638.00,3637.00,3637.00,27,0\r\n2006-01-13,21:54:00,3636.00,3637.00,3636.00,3637.00,4,0\r\n2006-01-13,21:55:00,3638.00,3638.00,3637.00,3637.00,78,0\r\n2006-01-13,21:56:00,3638.00,3638.00,3638.00,3638.00,120,0\r\n2006-01-13,21:57:00,3638.00,3638.00,3638.00,3638.00,22,0\r\n2006-01-13,21:58:00,3638.00,3638.00,3638.00,3638.00,104,0\r\n2006-01-13,21:59:00,3637.00,3637.00,3637.00,3637.00,17,0\r\n2006-01-13,22:00:00,3637.00,3639.00,3637.00,3639.00,147,0\r\n2006-01-16,09:01:00,3635.00,3636.00,3632.00,3634.00,4839,0\r\n2006-01-16,09:02:00,3635.00,3637.00,3635.00,3636.00,995,0\r\n2006-01-16,09:03:00,3637.00,3638.00,3636.00,3636.00,431,0\r\n2006-01-16,09:04:00,3637.00,3641.00,3636.00,3640.00,2177,0\r\n2006-01-16,09:05:00,3641.00,3642.00,3640.00,3640.00,544,0\r\n2006-01-16,09:06:00,3639.00,3640.00,3637.00,3638.00,1730,0\r\n2006-01-16,09:07:00,3637.00,3638.00,3635.00,3636.00,2960,0\r\n2006-01-16,09:08:00,3636.00,3637.00,3634.00,3635.00,1676,0\r\n2006-01-16,09:09:00,3635.00,3636.00,3634.00,3635.00,1061,0\r\n2006-01-16,09:10:00,3635.00,3636.00,3634.00,3634.00,699,0\r\n2006-01-16,09:11:00,3634.00,3636.00,3634.00,3634.00,1326,0\r\n2006-01-16,09:12:00,3633.00,3634.00,3632.00,3633.00,1486,0\r\n2006-01-16,09:13:00,3632.00,3633.00,3632.00,3633.00,850,0\r\n2006-01-16,09:14:00,3633.00,3633.00,3632.00,3633.00,547,0\r\n2006-01-16,09:15:00,3633.00,3635.00,3633.00,3633.00,461,0\r\n2006-01-16,09:16:00,3633.00,3638.00,3633.00,3636.00,4276,0\r\n2006-01-16,09:17:00,3635.00,3638.00,3635.00,3637.00,1447,0\r\n2006-01-16,09:18:00,3637.00,3638.00,3635.00,3637.00,684,0\r\n2006-01-16,09:19:00,3637.00,3637.00,3636.00,3637.00,534,0\r\n2006-01-16,09:20:00,3637.00,3637.00,3636.00,3637.00,593,0\r\n2006-01-16,09:21:00,3637.00,3638.00,3636.00,3637.00,858,0\r\n2006-01-16,09:22:00,3637.00,3637.00,3636.00,3637.00,357,0\r\n2006-01-16,09:23:00,3637.00,3637.00,3636.00,3636.00,664,0\r\n2006-01-16,09:24:00,3636.00,3637.00,3636.00,3636.00,163,0\r\n2006-01-16,09:25:00,3637.00,3637.00,3636.00,3637.00,662,0\r\n2006-01-16,09:26:00,3637.00,3637.00,3636.00,3636.00,111,0\r\n2006-01-16,09:27:00,3637.00,3638.00,3637.00,3637.00,995,0\r\n2006-01-16,09:28:00,3638.00,3638.00,3637.00,3637.00,426,0\r\n2006-01-16,09:29:00,3637.00,3637.00,3636.00,3636.00,302,0\r\n2006-01-16,09:30:00,3636.00,3638.00,3636.00,3638.00,343,0\r\n2006-01-16,09:31:00,3638.00,3638.00,3635.00,3635.00,974,0\r\n2006-01-16,09:32:00,3635.00,3637.00,3635.00,3637.00,294,0\r\n2006-01-16,09:33:00,3637.00,3637.00,3635.00,3635.00,620,0\r\n2006-01-16,09:34:00,3636.00,3636.00,3635.00,3635.00,86,0\r\n2006-01-16,09:35:00,3635.00,3637.00,3635.00,3637.00,694,0\r\n2006-01-16,09:36:00,3636.00,3638.00,3636.00,3637.00,819,0\r\n2006-01-16,09:37:00,3636.00,3637.00,3636.00,3636.00,246,0\r\n2006-01-16,09:38:00,3637.00,3637.00,3636.00,3637.00,211,0\r\n2006-01-16,09:39:00,3637.00,3637.00,3637.00,3637.00,186,0\r\n2006-01-16,09:40:00,3637.00,3639.00,3636.00,3639.00,456,0\r\n2006-01-16,09:41:00,3639.00,3639.00,3638.00,3638.00,708,0\r\n2006-01-16,09:42:00,3638.00,3639.00,3637.00,3638.00,159,0\r\n2006-01-16,09:43:00,3638.00,3638.00,3637.00,3637.00,108,0\r\n2006-01-16,09:44:00,3638.00,3639.00,3638.00,3638.00,478,0\r\n2006-01-16,09:45:00,3638.00,3639.00,3638.00,3639.00,669,0\r\n2006-01-16,09:46:00,3640.00,3642.00,3639.00,3642.00,2438,0\r\n2006-01-16,09:47:00,3642.00,3642.00,3640.00,3640.00,1203,0\r\n2006-01-16,09:48:00,3640.00,3641.00,3640.00,3640.00,297,0\r\n2006-01-16,09:49:00,3641.00,3641.00,3640.00,3641.00,986,0\r\n2006-01-16,09:50:00,3641.00,3642.00,3641.00,3642.00,721,0\r\n2006-01-16,09:51:00,3641.00,3642.00,3641.00,3642.00,895,0\r\n2006-01-16,09:52:00,3641.00,3642.00,3640.00,3640.00,571,0\r\n2006-01-16,09:53:00,3640.00,3640.00,3639.00,3639.00,1934,0\r\n2006-01-16,09:54:00,3639.00,3641.00,3639.00,3640.00,878,0\r\n2006-01-16,09:55:00,3639.00,3640.00,3638.00,3638.00,470,0\r\n2006-01-16,09:56:00,3638.00,3639.00,3637.00,3638.00,792,0\r\n2006-01-16,09:57:00,3638.00,3639.00,3638.00,3639.00,401,0\r\n2006-01-16,09:58:00,3638.00,3638.00,3638.00,3638.00,472,0\r\n2006-01-16,09:59:00,3639.00,3639.00,3639.00,3639.00,200,0\r\n2006-01-16,10:00:00,3639.00,3639.00,3638.00,3639.00,278,0\r\n2006-01-16,10:01:00,3639.00,3640.00,3639.00,3639.00,42,0\r\n2006-01-16,10:02:00,3639.00,3639.00,3638.00,3639.00,772,0\r\n2006-01-16,10:03:00,3639.00,3640.00,3639.00,3639.00,284,0\r\n2006-01-16,10:04:00,3640.00,3640.00,3639.00,3640.00,40,0\r\n2006-01-16,10:05:00,3640.00,3642.00,3640.00,3642.00,1069,0\r\n2006-01-16,10:06:00,3642.00,3642.00,3642.00,3642.00,465,0\r\n2006-01-16,10:07:00,3642.00,3642.00,3641.00,3642.00,440,0\r\n2006-01-16,10:08:00,3642.00,3642.00,3640.00,3640.00,449,0\r\n2006-01-16,10:09:00,3641.00,3642.00,3640.00,3642.00,437,0\r\n2006-01-16,10:10:00,3641.00,3643.00,3641.00,3642.00,1545,0\r\n2006-01-16,10:11:00,3642.00,3643.00,3642.00,3642.00,376,0\r\n2006-01-16,10:12:00,3641.00,3643.00,3641.00,3643.00,827,0\r\n2006-01-16,10:13:00,3643.00,3644.00,3642.00,3642.00,586,0\r\n2006-01-16,10:14:00,3642.00,3643.00,3642.00,3642.00,5,0\r\n2006-01-16,10:15:00,3642.00,3643.00,3642.00,3642.00,732,0\r\n2006-01-16,10:16:00,3641.00,3642.00,3641.00,3642.00,268,0\r\n2006-01-16,10:17:00,3642.00,3643.00,3642.00,3642.00,25,0\r\n2006-01-16,10:18:00,3642.00,3642.00,3642.00,3642.00,141,0\r\n2006-01-16,10:19:00,3642.00,3643.00,3642.00,3643.00,242,0\r\n2006-01-16,10:20:00,3643.00,3643.00,3642.00,3643.00,409,0\r\n2006-01-16,10:21:00,3642.00,3642.00,3641.00,3641.00,163,0\r\n2006-01-16,10:22:00,3642.00,3642.00,3641.00,3641.00,22,0\r\n2006-01-16,10:23:00,3642.00,3642.00,3641.00,3641.00,227,0\r\n2006-01-16,10:24:00,3642.00,3642.00,3641.00,3642.00,249,0\r\n2006-01-16,10:25:00,3641.00,3642.00,3641.00,3641.00,21,0\r\n2006-01-16,10:26:00,3642.00,3644.00,3642.00,3644.00,899,0\r\n2006-01-16,10:27:00,3643.00,3645.00,3643.00,3644.00,1032,0\r\n2006-01-16,10:28:00,3644.00,3645.00,3643.00,3644.00,664,0\r\n2006-01-16,10:29:00,3643.00,3644.00,3643.00,3644.00,249,0\r\n2006-01-16,10:30:00,3645.00,3646.00,3644.00,3646.00,2442,0\r\n2006-01-16,10:31:00,3646.00,3646.00,3644.00,3645.00,928,0\r\n2006-01-16,10:32:00,3646.00,3646.00,3645.00,3645.00,596,0\r\n2006-01-16,10:33:00,3646.00,3646.00,3645.00,3645.00,177,0\r\n2006-01-16,10:34:00,3646.00,3646.00,3645.00,3645.00,1018,0\r\n2006-01-16,10:35:00,3644.00,3645.00,3644.00,3645.00,691,0\r\n2006-01-16,10:36:00,3645.00,3645.00,3643.00,3644.00,2238,0\r\n2006-01-16,10:37:00,3644.00,3644.00,3644.00,3644.00,85,0\r\n2006-01-16,10:38:00,3644.00,3645.00,3643.00,3644.00,132,0\r\n2006-01-16,10:39:00,3643.00,3644.00,3643.00,3644.00,13,0\r\n2006-01-16,10:40:00,3644.00,3644.00,3643.00,3644.00,438,0\r\n2006-01-16,10:41:00,3644.00,3644.00,3643.00,3644.00,218,0\r\n2006-01-16,10:42:00,3644.00,3645.00,3644.00,3645.00,53,0\r\n2006-01-16,10:43:00,3644.00,3644.00,3644.00,3644.00,28,0\r\n2006-01-16,10:44:00,3644.00,3644.00,3644.00,3644.00,21,0\r\n2006-01-16,10:45:00,3644.00,3645.00,3644.00,3644.00,627,0\r\n2006-01-16,10:46:00,3644.00,3644.00,3644.00,3644.00,245,0\r\n2006-01-16,10:47:00,3644.00,3644.00,3643.00,3643.00,32,0\r\n2006-01-16,10:48:00,3644.00,3644.00,3643.00,3643.00,4,0\r\n2006-01-16,10:49:00,3644.00,3644.00,3643.00,3643.00,4,0\r\n2006-01-16,10:50:00,3644.00,3644.00,3643.00,3643.00,227,0\r\n2006-01-16,10:51:00,3643.00,3644.00,3642.00,3643.00,549,0\r\n2006-01-16,10:52:00,3642.00,3643.00,3642.00,3642.00,515,0\r\n2006-01-16,10:53:00,3642.00,3643.00,3641.00,3641.00,415,0\r\n2006-01-16,10:54:00,3642.00,3642.00,3641.00,3642.00,482,0\r\n2006-01-16,10:55:00,3642.00,3642.00,3641.00,3641.00,70,0\r\n2006-01-16,10:56:00,3641.00,3642.00,3641.00,3642.00,117,0\r\n2006-01-16,10:57:00,3642.00,3642.00,3642.00,3642.00,28,0\r\n2006-01-16,10:58:00,3642.00,3643.00,3642.00,3643.00,592,0\r\n2006-01-16,10:59:00,3642.00,3642.00,3640.00,3641.00,1702,0\r\n2006-01-16,11:00:00,3641.00,3641.00,3640.00,3641.00,18,0\r\n2006-01-16,11:01:00,3641.00,3641.00,3640.00,3640.00,1400,0\r\n2006-01-16,11:02:00,3640.00,3641.00,3640.00,3641.00,345,0\r\n2006-01-16,11:03:00,3641.00,3641.00,3641.00,3641.00,24,0\r\n2006-01-16,11:04:00,3642.00,3642.00,3641.00,3642.00,263,0\r\n2006-01-16,11:05:00,3642.00,3642.00,3641.00,3641.00,379,0\r\n2006-01-16,11:06:00,3641.00,3642.00,3641.00,3641.00,39,0\r\n2006-01-16,11:07:00,3641.00,3642.00,3641.00,3641.00,5603,0\r\n2006-01-16,11:08:00,3642.00,3642.00,3641.00,3641.00,71,0\r\n2006-01-16,11:09:00,3641.00,3642.00,3641.00,3642.00,21,0\r\n2006-01-16,11:10:00,3641.00,3642.00,3641.00,3642.00,559,0\r\n2006-01-16,11:11:00,3642.00,3642.00,3641.00,3642.00,631,0\r\n2006-01-16,11:12:00,3641.00,3642.00,3641.00,3642.00,785,0\r\n2006-01-16,11:13:00,3642.00,3642.00,3642.00,3642.00,78,0\r\n2006-01-16,11:14:00,3641.00,3642.00,3641.00,3641.00,25,0\r\n2006-01-16,11:15:00,3641.00,3642.00,3641.00,3642.00,31,0\r\n2006-01-16,11:16:00,3642.00,3642.00,3641.00,3642.00,77,0\r\n2006-01-16,11:17:00,3642.00,3642.00,3642.00,3642.00,465,0\r\n2006-01-16,11:18:00,3642.00,3642.00,3641.00,3642.00,513,0\r\n2006-01-16,11:19:00,3642.00,3642.00,3641.00,3642.00,1229,0\r\n2006-01-16,11:20:00,3642.00,3643.00,3642.00,3642.00,345,0\r\n2006-01-16,11:21:00,3643.00,3643.00,3642.00,3642.00,1588,0\r\n2006-01-16,11:22:00,3643.00,3643.00,3642.00,3642.00,1147,0\r\n2006-01-16,11:23:00,3642.00,3643.00,3642.00,3643.00,35,0\r\n2006-01-16,11:24:00,3643.00,3643.00,3642.00,3642.00,107,0\r\n2006-01-16,11:25:00,3643.00,3643.00,3642.00,3643.00,453,0\r\n2006-01-16,11:26:00,3643.00,3644.00,3643.00,3643.00,1815,0\r\n2006-01-16,11:27:00,3643.00,3643.00,3642.00,3643.00,1383,0\r\n2006-01-16,11:28:00,3643.00,3644.00,3643.00,3644.00,480,0\r\n2006-01-16,11:29:00,3643.00,3644.00,3643.00,3644.00,39,0\r\n2006-01-16,11:30:00,3643.00,3644.00,3643.00,3644.00,27,0\r\n2006-01-16,11:31:00,3644.00,3645.00,3644.00,3645.00,1590,0\r\n2006-01-16,11:32:00,3644.00,3645.00,3644.00,3645.00,774,0\r\n2006-01-16,11:33:00,3644.00,3645.00,3644.00,3644.00,23,0\r\n2006-01-16,11:34:00,3645.00,3645.00,3644.00,3644.00,4,0\r\n2006-01-16,11:35:00,3644.00,3645.00,3644.00,3644.00,115,0\r\n2006-01-16,11:36:00,3645.00,3646.00,3644.00,3646.00,1456,0\r\n2006-01-16,11:37:00,3646.00,3647.00,3645.00,3646.00,2549,0\r\n2006-01-16,11:38:00,3646.00,3646.00,3645.00,3645.00,1163,0\r\n2006-01-16,11:39:00,3646.00,3646.00,3645.00,3645.00,129,0\r\n2006-01-16,11:40:00,3646.00,3646.00,3645.00,3645.00,75,0\r\n2006-01-16,11:41:00,3645.00,3646.00,3645.00,3645.00,753,0\r\n2006-01-16,11:42:00,3645.00,3646.00,3645.00,3645.00,56,0\r\n2006-01-16,11:43:00,3645.00,3646.00,3645.00,3646.00,62,0\r\n2006-01-16,11:45:00,3646.00,3647.00,3646.00,3646.00,617,0\r\n2006-01-16,11:46:00,3647.00,3647.00,3645.00,3646.00,1145,0\r\n2006-01-16,11:47:00,3646.00,3647.00,3645.00,3645.00,133,0\r\n2006-01-16,11:48:00,3645.00,3646.00,3645.00,3645.00,81,0\r\n2006-01-16,11:49:00,3646.00,3646.00,3645.00,3646.00,334,0\r\n2006-01-16,11:50:00,3646.00,3647.00,3645.00,3646.00,135,0\r\n2006-01-16,11:51:00,3645.00,3646.00,3645.00,3646.00,92,0\r\n2006-01-16,11:52:00,3645.00,3646.00,3645.00,3645.00,254,0\r\n2006-01-16,11:53:00,3646.00,3646.00,3645.00,3645.00,35,0\r\n2006-01-16,11:54:00,3646.00,3646.00,3645.00,3645.00,6,0\r\n2006-01-16,11:55:00,3646.00,3646.00,3645.00,3645.00,16,0\r\n2006-01-16,11:56:00,3645.00,3645.00,3644.00,3644.00,3498,0\r\n2006-01-16,11:57:00,3644.00,3645.00,3644.00,3645.00,184,0\r\n2006-01-16,11:58:00,3646.00,3646.00,3645.00,3645.00,80,0\r\n2006-01-16,11:59:00,3646.00,3646.00,3645.00,3646.00,721,0\r\n2006-01-16,12:00:00,3647.00,3648.00,3646.00,3648.00,1159,0\r\n2006-01-16,12:01:00,3647.00,3648.00,3646.00,3646.00,741,0\r\n2006-01-16,12:02:00,3647.00,3648.00,3646.00,3647.00,227,0\r\n2006-01-16,12:03:00,3647.00,3647.00,3647.00,3647.00,224,0\r\n2006-01-16,12:04:00,3647.00,3647.00,3646.00,3647.00,80,0\r\n2006-01-16,12:05:00,3646.00,3647.00,3646.00,3647.00,26,0\r\n2006-01-16,12:06:00,3646.00,3647.00,3646.00,3647.00,42,0\r\n2006-01-16,12:07:00,3647.00,3647.00,3647.00,3647.00,255,0\r\n2006-01-16,12:08:00,3647.00,3648.00,3646.00,3647.00,159,0\r\n2006-01-16,12:09:00,3647.00,3647.00,3647.00,3647.00,30,0\r\n2006-01-16,12:10:00,3647.00,3648.00,3646.00,3648.00,1258,0\r\n2006-01-16,12:11:00,3647.00,3648.00,3647.00,3647.00,46,0\r\n2006-01-16,12:12:00,3647.00,3647.00,3646.00,3646.00,232,0\r\n2006-01-16,12:13:00,3647.00,3647.00,3646.00,3646.00,76,0\r\n2006-01-16,12:14:00,3647.00,3647.00,3646.00,3646.00,32,0\r\n2006-01-16,12:15:00,3647.00,3647.00,3646.00,3646.00,308,0\r\n2006-01-16,12:16:00,3647.00,3647.00,3646.00,3646.00,5077,0\r\n2006-01-16,12:17:00,3646.00,3646.00,3646.00,3646.00,16,0\r\n2006-01-16,12:18:00,3647.00,3647.00,3646.00,3646.00,113,0\r\n2006-01-16,12:19:00,3647.00,3648.00,3646.00,3647.00,554,0\r\n2006-01-16,12:20:00,3648.00,3648.00,3647.00,3647.00,4,0\r\n2006-01-16,12:21:00,3647.00,3647.00,3647.00,3647.00,1253,0\r\n2006-01-16,12:22:00,3647.00,3647.00,3647.00,3647.00,162,0\r\n2006-01-16,12:23:00,3647.00,3648.00,3647.00,3647.00,114,0\r\n2006-01-16,12:24:00,3648.00,3648.00,3647.00,3647.00,60,0\r\n2006-01-16,12:25:00,3647.00,3648.00,3647.00,3647.00,253,0\r\n2006-01-16,12:26:00,3647.00,3648.00,3647.00,3647.00,35,0\r\n2006-01-16,12:27:00,3647.00,3648.00,3647.00,3647.00,5,0\r\n2006-01-16,12:28:00,3647.00,3648.00,3647.00,3647.00,65,0\r\n2006-01-16,12:29:00,3647.00,3648.00,3647.00,3647.00,203,0\r\n2006-01-16,12:30:00,3647.00,3647.00,3646.00,3647.00,523,0\r\n2006-01-16,12:31:00,3647.00,3648.00,3646.00,3646.00,1629,0\r\n2006-01-16,12:32:00,3647.00,3647.00,3646.00,3646.00,18,0\r\n2006-01-16,12:33:00,3647.00,3648.00,3646.00,3646.00,111,0\r\n2006-01-16,12:34:00,3647.00,3648.00,3646.00,3647.00,215,0\r\n2006-01-16,12:35:00,3646.00,3646.00,3646.00,3646.00,1,0\r\n2006-01-16,12:36:00,3647.00,3647.00,3646.00,3646.00,204,0\r\n2006-01-16,12:37:00,3646.00,3647.00,3646.00,3647.00,745,0\r\n2006-01-16,12:38:00,3647.00,3647.00,3646.00,3647.00,99,0\r\n2006-01-16,12:39:00,3647.00,3647.00,3646.00,3647.00,13,0\r\n2006-01-16,12:40:00,3646.00,3647.00,3646.00,3646.00,511,0\r\n2006-01-16,12:41:00,3646.00,3647.00,3646.00,3646.00,36,0\r\n2006-01-16,12:42:00,3647.00,3647.00,3646.00,3646.00,14,0\r\n2006-01-16,12:44:00,3647.00,3647.00,3646.00,3646.00,2,0\r\n2006-01-16,12:45:00,3646.00,3646.00,3646.00,3646.00,15,0\r\n2006-01-16,12:46:00,3647.00,3647.00,3646.00,3646.00,33,0\r\n2006-01-16,12:47:00,3647.00,3647.00,3646.00,3646.00,11,0\r\n2006-01-16,12:48:00,3646.00,3646.00,3646.00,3646.00,517,0\r\n2006-01-16,12:49:00,3647.00,3647.00,3646.00,3646.00,511,0\r\n2006-01-16,12:50:00,3646.00,3647.00,3646.00,3647.00,20,0\r\n2006-01-16,12:51:00,3647.00,3647.00,3646.00,3647.00,1519,0\r\n2006-01-16,12:52:00,3647.00,3647.00,3646.00,3646.00,100,0\r\n2006-01-16,12:53:00,3647.00,3647.00,3646.00,3647.00,20,0\r\n2006-01-16,12:54:00,3647.00,3647.00,3646.00,3646.00,23,0\r\n2006-01-16,12:55:00,3647.00,3647.00,3646.00,3646.00,19,0\r\n2006-01-16,12:56:00,3647.00,3647.00,3646.00,3646.00,286,0\r\n2006-01-16,12:57:00,3646.00,3646.00,3646.00,3646.00,81,0\r\n2006-01-16,12:59:00,3647.00,3647.00,3646.00,3646.00,2,0\r\n2006-01-16,13:00:00,3646.00,3647.00,3646.00,3647.00,36,0\r\n2006-01-16,13:01:00,3646.00,3647.00,3646.00,3647.00,31,0\r\n2006-01-16,13:02:00,3647.00,3648.00,3647.00,3647.00,515,0\r\n2006-01-16,13:03:00,3647.00,3647.00,3647.00,3647.00,24,0\r\n2006-01-16,13:04:00,3647.00,3648.00,3647.00,3648.00,26,0\r\n2006-01-16,13:05:00,3648.00,3648.00,3648.00,3648.00,41,0\r\n2006-01-16,13:06:00,3648.00,3648.00,3648.00,3648.00,2,0\r\n2006-01-16,13:07:00,3647.00,3648.00,3647.00,3647.00,15,0\r\n2006-01-16,13:09:00,3647.00,3648.00,3647.00,3648.00,5,0\r\n2006-01-16,13:10:00,3648.00,3648.00,3647.00,3648.00,136,0\r\n2006-01-16,13:11:00,3648.00,3649.00,3648.00,3648.00,1369,0\r\n2006-01-16,13:12:00,3649.00,3649.00,3648.00,3648.00,162,0\r\n2006-01-16,13:13:00,3648.00,3648.00,3647.00,3647.00,229,0\r\n2006-01-16,13:14:00,3648.00,3648.00,3647.00,3648.00,261,0\r\n2006-01-16,13:15:00,3648.00,3648.00,3648.00,3648.00,4,0\r\n2006-01-16,13:17:00,3647.00,3648.00,3647.00,3647.00,834,0\r\n2006-01-16,13:18:00,3648.00,3648.00,3648.00,3648.00,17,0\r\n2006-01-16,13:19:00,3647.00,3648.00,3647.00,3647.00,363,0\r\n2006-01-16,13:20:00,3647.00,3648.00,3646.00,3648.00,99,0\r\n2006-01-16,13:21:00,3648.00,3648.00,3648.00,3648.00,21,0\r\n2006-01-16,13:23:00,3647.00,3647.00,3646.00,3646.00,608,0\r\n2006-01-16,13:24:00,3647.00,3648.00,3646.00,3648.00,907,0\r\n2006-01-16,13:25:00,3647.00,3648.00,3647.00,3647.00,34,0\r\n2006-01-16,13:26:00,3647.00,3648.00,3647.00,3647.00,29,0\r\n2006-01-16,13:27:00,3647.00,3648.00,3647.00,3648.00,18,0\r\n2006-01-16,13:28:00,3648.00,3648.00,3647.00,3647.00,151,0\r\n2006-01-16,13:31:00,3647.00,3647.00,3647.00,3647.00,62,0\r\n2006-01-16,13:32:00,3647.00,3647.00,3647.00,3647.00,28,0\r\n2006-01-16,13:33:00,3648.00,3648.00,3647.00,3647.00,15,0\r\n2006-01-16,13:34:00,3647.00,3648.00,3647.00,3648.00,12,0\r\n2006-01-16,13:35:00,3647.00,3649.00,3647.00,3647.00,1433,0\r\n2006-01-16,13:36:00,3647.00,3647.00,3647.00,3647.00,3,0\r\n2006-01-16,13:37:00,3648.00,3648.00,3647.00,3648.00,17,0\r\n2006-01-16,13:38:00,3648.00,3649.00,3648.00,3648.00,668,0\r\n2006-01-16,13:39:00,3647.00,3647.00,3647.00,3647.00,3,0\r\n2006-01-16,13:40:00,3647.00,3648.00,3647.00,3648.00,2,0\r\n2006-01-16,13:42:00,3648.00,3648.00,3647.00,3647.00,205,0\r\n2006-01-16,13:43:00,3648.00,3648.00,3648.00,3648.00,1,0\r\n2006-01-16,13:45:00,3647.00,3647.00,3647.00,3647.00,6,0\r\n2006-01-16,13:46:00,3648.00,3648.00,3648.00,3648.00,254,0\r\n2006-01-16,13:47:00,3647.00,3648.00,3647.00,3648.00,15,0\r\n2006-01-16,13:48:00,3648.00,3648.00,3648.00,3648.00,36,0\r\n2006-01-16,13:49:00,3648.00,3648.00,3648.00,3648.00,30,0\r\n2006-01-16,13:50:00,3648.00,3648.00,3647.00,3648.00,29,0\r\n2006-01-16,13:51:00,3648.00,3648.00,3647.00,3648.00,25,0\r\n2006-01-16,13:52:00,3647.00,3648.00,3647.00,3647.00,287,0\r\n2006-01-16,13:53:00,3647.00,3648.00,3647.00,3647.00,116,0\r\n2006-01-16,13:54:00,3648.00,3648.00,3648.00,3648.00,2,0\r\n2006-01-16,13:55:00,3647.00,3648.00,3647.00,3648.00,84,0\r\n2006-01-16,13:56:00,3647.00,3648.00,3647.00,3648.00,127,0\r\n2006-01-16,13:57:00,3648.00,3648.00,3648.00,3648.00,1,0\r\n2006-01-16,13:58:00,3648.00,3648.00,3648.00,3648.00,10,0\r\n2006-01-16,13:59:00,3647.00,3647.00,3647.00,3647.00,145,0\r\n2006-01-16,14:00:00,3647.00,3648.00,3647.00,3648.00,46,0\r\n2006-01-16,14:01:00,3647.00,3648.00,3647.00,3647.00,25,0\r\n2006-01-16,14:02:00,3648.00,3648.00,3647.00,3647.00,182,0\r\n2006-01-16,14:03:00,3646.00,3647.00,3646.00,3647.00,190,0\r\n2006-01-16,14:04:00,3647.00,3647.00,3647.00,3647.00,52,0\r\n2006-01-16,14:05:00,3647.00,3648.00,3647.00,3648.00,22,0\r\n2006-01-16,14:06:00,3648.00,3648.00,3647.00,3647.00,76,0\r\n2006-01-16,14:07:00,3647.00,3647.00,3647.00,3647.00,42,0\r\n2006-01-16,14:09:00,3647.00,3648.00,3647.00,3648.00,8,0\r\n2006-01-16,14:10:00,3647.00,3648.00,3647.00,3647.00,12,0\r\n2006-01-16,14:11:00,3647.00,3647.00,3647.00,3647.00,102,0\r\n2006-01-16,14:12:00,3647.00,3647.00,3647.00,3647.00,1,0\r\n2006-01-16,14:13:00,3648.00,3648.00,3648.00,3648.00,407,0\r\n2006-01-16,14:14:00,3648.00,3648.00,3648.00,3648.00,1,0\r\n2006-01-16,14:15:00,3647.00,3648.00,3647.00,3647.00,448,0\r\n2006-01-16,14:16:00,3647.00,3647.00,3647.00,3647.00,41,0\r\n2006-01-16,14:17:00,3647.00,3648.00,3647.00,3647.00,23,0\r\n2006-01-16,14:18:00,3648.00,3648.00,3647.00,3647.00,23,0\r\n2006-01-16,14:19:00,3647.00,3647.00,3647.00,3647.00,1,0\r\n2006-01-16,14:20:00,3648.00,3648.00,3647.00,3647.00,35,0\r\n2006-01-16,14:21:00,3648.00,3648.00,3647.00,3648.00,24,0\r\n2006-01-16,14:22:00,3647.00,3648.00,3647.00,3648.00,3,0\r\n2006-01-16,14:23:00,3648.00,3648.00,3648.00,3648.00,1,0\r\n2006-01-16,14:24:00,3647.00,3648.00,3647.00,3648.00,11,0\r\n2006-01-16,14:25:00,3648.00,3648.00,3648.00,3648.00,5,0\r\n2006-01-16,14:26:00,3648.00,3648.00,3647.00,3647.00,57,0\r\n2006-01-16,14:27:00,3648.00,3648.00,3647.00,3648.00,24,0\r\n2006-01-16,14:28:00,3647.00,3648.00,3647.00,3647.00,128,0\r\n2006-01-16,14:29:00,3648.00,3648.00,3648.00,3648.00,51,0\r\n2006-01-16,14:30:00,3647.00,3647.00,3647.00,3647.00,1,0\r\n2006-01-16,14:31:00,3648.00,3648.00,3648.00,3648.00,122,0\r\n2006-01-16,14:32:00,3647.00,3648.00,3647.00,3648.00,2,0\r\n2006-01-16,14:33:00,3647.00,3648.00,3647.00,3648.00,122,0\r\n2006-01-16,14:34:00,3647.00,3649.00,3647.00,3649.00,1619,0\r\n2006-01-16,14:35:00,3648.00,3649.00,3648.00,3649.00,472,0\r\n2006-01-16,14:36:00,3649.00,3649.00,3648.00,3648.00,27,0\r\n2006-01-16,14:37:00,3649.00,3649.00,3649.00,3649.00,1,0\r\n2006-01-16,14:38:00,3649.00,3649.00,3648.00,3648.00,218,0\r\n2006-01-16,14:39:00,3648.00,3649.00,3648.00,3648.00,4,0\r\n2006-01-16,14:40:00,3649.00,3649.00,3649.00,3649.00,10,0\r\n2006-01-16,14:41:00,3648.00,3649.00,3648.00,3649.00,3,0\r\n2006-01-16,14:42:00,3648.00,3649.00,3648.00,3649.00,3,0\r\n2006-01-16,14:43:00,3649.00,3649.00,3648.00,3648.00,336,0\r\n2006-01-16,14:44:00,3649.00,3649.00,3648.00,3649.00,138,0\r\n2006-01-16,14:45:00,3649.00,3650.00,3649.00,3649.00,1134,0\r\n2006-01-16,14:46:00,3649.00,3650.00,3649.00,3649.00,38,0\r\n2006-01-16,14:47:00,3649.00,3650.00,3649.00,3650.00,704,0\r\n2006-01-16,14:48:00,3649.00,3650.00,3649.00,3650.00,2,0\r\n2006-01-16,14:49:00,3649.00,3650.00,3648.00,3649.00,551,0\r\n2006-01-16,14:50:00,3649.00,3649.00,3649.00,3649.00,105,0\r\n2006-01-16,14:51:00,3649.00,3650.00,3649.00,3650.00,12,0\r\n2006-01-16,14:52:00,3650.00,3650.00,3649.00,3650.00,115,0\r\n2006-01-16,14:53:00,3649.00,3650.00,3649.00,3650.00,17,0\r\n2006-01-16,14:54:00,3649.00,3650.00,3649.00,3649.00,302,0\r\n2006-01-16,14:55:00,3649.00,3650.00,3649.00,3650.00,83,0\r\n2006-01-16,14:57:00,3650.00,3650.00,3650.00,3650.00,70,0\r\n2006-01-16,14:58:00,3650.00,3650.00,3650.00,3650.00,1,0\r\n2006-01-16,14:59:00,3650.00,3652.00,3650.00,3652.00,3650,0\r\n2006-01-16,15:00:00,3651.00,3651.00,3650.00,3651.00,953,0\r\n2006-01-16,15:01:00,3652.00,3652.00,3651.00,3652.00,296,0\r\n2006-01-16,15:02:00,3651.00,3652.00,3651.00,3652.00,88,0\r\n2006-01-16,15:03:00,3651.00,3652.00,3651.00,3651.00,57,0\r\n2006-01-16,15:04:00,3651.00,3652.00,3650.00,3651.00,1627,0\r\n2006-01-16,15:05:00,3651.00,3652.00,3651.00,3652.00,605,0\r\n2006-01-16,15:06:00,3652.00,3653.00,3651.00,3652.00,1292,0\r\n2006-01-16,15:07:00,3652.00,3652.00,3651.00,3652.00,205,0\r\n2006-01-16,15:08:00,3652.00,3652.00,3651.00,3652.00,159,0\r\n2006-01-16,15:09:00,3652.00,3652.00,3651.00,3652.00,270,0\r\n2006-01-16,15:10:00,3651.00,3652.00,3651.00,3651.00,138,0\r\n2006-01-16,15:11:00,3651.00,3652.00,3651.00,3651.00,147,0\r\n2006-01-16,15:12:00,3651.00,3652.00,3651.00,3651.00,107,0\r\n2006-01-16,15:13:00,3652.00,3652.00,3651.00,3651.00,114,0\r\n2006-01-16,15:14:00,3651.00,3652.00,3650.00,3650.00,429,0\r\n2006-01-16,15:15:00,3651.00,3651.00,3650.00,3651.00,20,0\r\n2006-01-16,15:16:00,3650.00,3650.00,3650.00,3650.00,1,0\r\n2006-01-16,15:17:00,3651.00,3652.00,3650.00,3651.00,371,0\r\n2006-01-16,15:18:00,3651.00,3651.00,3650.00,3651.00,227,0\r\n2006-01-16,15:19:00,3651.00,3651.00,3650.00,3650.00,70,0\r\n2006-01-16,15:20:00,3651.00,3651.00,3650.00,3650.00,492,0\r\n2006-01-16,15:21:00,3650.00,3650.00,3650.00,3650.00,1,0\r\n2006-01-16,15:22:00,3650.00,3650.00,3650.00,3650.00,57,0\r\n2006-01-16,15:23:00,3650.00,3651.00,3650.00,3650.00,340,0\r\n2006-01-16,15:24:00,3651.00,3651.00,3650.00,3650.00,195,0\r\n2006-01-16,15:25:00,3651.00,3651.00,3650.00,3650.00,322,0\r\n2006-01-16,15:26:00,3650.00,3650.00,3650.00,3650.00,1,0\r\n2006-01-16,15:27:00,3650.00,3650.00,3650.00,3650.00,437,0\r\n2006-01-16,15:28:00,3650.00,3651.00,3650.00,3650.00,49,0\r\n2006-01-16,15:29:00,3650.00,3651.00,3650.00,3650.00,169,0\r\n2006-01-16,15:30:00,3650.00,3651.00,3650.00,3651.00,21,0\r\n2006-01-16,15:31:00,3651.00,3651.00,3650.00,3650.00,302,0\r\n2006-01-16,15:32:00,3650.00,3651.00,3650.00,3650.00,134,0\r\n2006-01-16,15:33:00,3650.00,3650.00,3650.00,3650.00,63,0\r\n2006-01-16,15:34:00,3651.00,3651.00,3650.00,3650.00,14,0\r\n2006-01-16,15:35:00,3651.00,3651.00,3650.00,3650.00,41,0\r\n2006-01-16,15:36:00,3651.00,3651.00,3650.00,3651.00,512,0\r\n2006-01-16,15:37:00,3651.00,3652.00,3651.00,3652.00,20,0\r\n2006-01-16,15:38:00,3652.00,3652.00,3652.00,3652.00,41,0\r\n2006-01-16,15:39:00,3652.00,3652.00,3651.00,3652.00,264,0\r\n2006-01-16,15:40:00,3651.00,3652.00,3651.00,3652.00,17,0\r\n2006-01-16,15:41:00,3651.00,3651.00,3650.00,3650.00,178,0\r\n2006-01-16,15:42:00,3651.00,3651.00,3650.00,3650.00,103,0\r\n2006-01-16,15:43:00,3650.00,3651.00,3650.00,3650.00,14,0\r\n2006-01-16,15:44:00,3650.00,3650.00,3650.00,3650.00,4,0\r\n2006-01-16,15:45:00,3650.00,3651.00,3650.00,3650.00,291,0\r\n2006-01-16,15:46:00,3651.00,3651.00,3650.00,3650.00,24,0\r\n2006-01-16,15:47:00,3650.00,3650.00,3650.00,3650.00,122,0\r\n2006-01-16,15:48:00,3651.00,3651.00,3650.00,3650.00,70,0\r\n2006-01-16,15:49:00,3650.00,3651.00,3650.00,3650.00,290,0\r\n2006-01-16,15:50:00,3651.00,3651.00,3650.00,3651.00,358,0\r\n2006-01-16,15:52:00,3651.00,3651.00,3651.00,3651.00,16,0\r\n2006-01-16,15:53:00,3652.00,3652.00,3651.00,3651.00,14,0\r\n2006-01-16,15:54:00,3651.00,3652.00,3651.00,3651.00,202,0\r\n2006-01-16,15:55:00,3651.00,3652.00,3651.00,3652.00,4,0\r\n2006-01-16,15:56:00,3652.00,3652.00,3651.00,3651.00,526,0\r\n2006-01-16,15:57:00,3651.00,3652.00,3651.00,3651.00,37,0\r\n2006-01-16,15:58:00,3651.00,3652.00,3651.00,3651.00,31,0\r\n2006-01-16,15:59:00,3651.00,3651.00,3650.00,3650.00,848,0\r\n2006-01-16,16:00:00,3651.00,3651.00,3651.00,3651.00,237,0\r\n2006-01-16,16:01:00,3652.00,3652.00,3651.00,3651.00,136,0\r\n2006-01-16,16:02:00,3652.00,3652.00,3651.00,3651.00,151,0\r\n2006-01-16,16:03:00,3652.00,3653.00,3651.00,3652.00,2669,0\r\n2006-01-16,16:04:00,3652.00,3653.00,3652.00,3653.00,952,0\r\n2006-01-16,16:05:00,3653.00,3653.00,3652.00,3652.00,214,0\r\n2006-01-16,16:06:00,3653.00,3653.00,3652.00,3653.00,959,0\r\n2006-01-16,16:07:00,3652.00,3653.00,3651.00,3651.00,399,0\r\n2006-01-16,16:08:00,3652.00,3652.00,3651.00,3652.00,356,0\r\n2006-01-16,16:09:00,3652.00,3652.00,3652.00,3652.00,38,0\r\n2006-01-16,16:10:00,3651.00,3652.00,3651.00,3651.00,213,0\r\n2006-01-16,16:11:00,3651.00,3652.00,3651.00,3651.00,64,0\r\n2006-01-16,16:12:00,3651.00,3653.00,3651.00,3653.00,583,0\r\n2006-01-16,16:13:00,3652.00,3653.00,3652.00,3653.00,149,0\r\n2006-01-16,16:14:00,3653.00,3653.00,3652.00,3653.00,274,0\r\n2006-01-16,16:15:00,3653.00,3653.00,3652.00,3652.00,199,0\r\n2006-01-16,16:16:00,3653.00,3655.00,3652.00,3654.00,2025,0\r\n2006-01-16,16:17:00,3654.00,3655.00,3654.00,3654.00,83,0\r\n2006-01-16,16:18:00,3655.00,3655.00,3653.00,3654.00,979,0\r\n2006-01-16,16:19:00,3654.00,3655.00,3654.00,3655.00,649,0\r\n2006-01-16,16:20:00,3655.00,3656.00,3654.00,3655.00,1404,0\r\n2006-01-16,16:21:00,3655.00,3657.00,3655.00,3656.00,3587,0\r\n2006-01-16,16:22:00,3657.00,3657.00,3656.00,3657.00,997,0\r\n2006-01-16,16:23:00,3656.00,3657.00,3656.00,3657.00,547,0\r\n2006-01-16,16:24:00,3656.00,3657.00,3656.00,3656.00,792,0\r\n2006-01-16,16:25:00,3656.00,3657.00,3656.00,3657.00,1696,0\r\n2006-01-16,16:26:00,3658.00,3658.00,3657.00,3657.00,604,0\r\n2006-01-16,16:27:00,3657.00,3658.00,3657.00,3657.00,836,0\r\n2006-01-16,16:28:00,3657.00,3657.00,3657.00,3657.00,202,0\r\n2006-01-16,16:29:00,3657.00,3659.00,3657.00,3658.00,2628,0\r\n2006-01-16,16:30:00,3658.00,3658.00,3657.00,3658.00,950,0\r\n2006-01-16,16:31:00,3658.00,3658.00,3657.00,3657.00,164,0\r\n2006-01-16,16:32:00,3657.00,3658.00,3657.00,3658.00,312,0\r\n2006-01-16,16:33:00,3658.00,3658.00,3656.00,3656.00,2287,0\r\n2006-01-16,16:34:00,3657.00,3657.00,3656.00,3657.00,129,0\r\n2006-01-16,16:35:00,3656.00,3657.00,3655.00,3656.00,2877,0\r\n2006-01-16,16:36:00,3656.00,3656.00,3655.00,3656.00,403,0\r\n2006-01-16,16:37:00,3655.00,3657.00,3655.00,3657.00,790,0\r\n2006-01-16,16:38:00,3657.00,3657.00,3655.00,3656.00,784,0\r\n2006-01-16,16:39:00,3656.00,3656.00,3656.00,3656.00,12,0\r\n2006-01-16,16:40:00,3655.00,3656.00,3655.00,3655.00,297,0\r\n2006-01-16,16:41:00,3656.00,3657.00,3655.00,3657.00,137,0\r\n2006-01-16,16:42:00,3656.00,3656.00,3656.00,3656.00,188,0\r\n2006-01-16,16:43:00,3656.00,3656.00,3655.00,3655.00,205,0\r\n2006-01-16,16:44:00,3655.00,3657.00,3655.00,3656.00,289,0\r\n2006-01-16,16:45:00,3657.00,3657.00,3657.00,3657.00,12,0\r\n2006-01-16,16:46:00,3657.00,3657.00,3656.00,3656.00,17,0\r\n2006-01-16,16:47:00,3656.00,3659.00,3656.00,3658.00,1865,0\r\n2006-01-16,16:48:00,3658.00,3658.00,3657.00,3657.00,359,0\r\n2006-01-16,16:49:00,3658.00,3658.00,3657.00,3657.00,537,0\r\n2006-01-16,16:50:00,3658.00,3658.00,3657.00,3657.00,393,0\r\n2006-01-16,16:51:00,3658.00,3659.00,3658.00,3659.00,289,0\r\n2006-01-16,16:52:00,3658.00,3659.00,3658.00,3658.00,39,0\r\n2006-01-16,16:53:00,3658.00,3660.00,3658.00,3660.00,1969,0\r\n2006-01-16,16:54:00,3660.00,3660.00,3659.00,3660.00,502,0\r\n2006-01-16,16:55:00,3659.00,3660.00,3658.00,3659.00,850,0\r\n2006-01-16,16:56:00,3659.00,3660.00,3658.00,3658.00,374,0\r\n2006-01-16,16:57:00,3658.00,3660.00,3658.00,3660.00,384,0\r\n2006-01-16,16:58:00,3659.00,3660.00,3659.00,3660.00,986,0\r\n2006-01-16,16:59:00,3660.00,3660.00,3659.00,3659.00,403,0\r\n2006-01-16,17:00:00,3659.00,3660.00,3659.00,3659.00,21,0\r\n2006-01-16,17:01:00,3659.00,3660.00,3659.00,3659.00,146,0\r\n2006-01-16,17:02:00,3660.00,3660.00,3658.00,3659.00,461,0\r\n2006-01-16,17:03:00,3658.00,3659.00,3658.00,3659.00,915,0\r\n2006-01-16,17:04:00,3658.00,3659.00,3657.00,3657.00,606,0\r\n2006-01-16,17:05:00,3658.00,3658.00,3657.00,3657.00,74,0\r\n2006-01-16,17:06:00,3658.00,3658.00,3657.00,3657.00,90,0\r\n2006-01-16,17:07:00,3657.00,3658.00,3657.00,3657.00,1155,0\r\n2006-01-16,17:08:00,3657.00,3658.00,3657.00,3657.00,484,0\r\n2006-01-16,17:09:00,3658.00,3658.00,3657.00,3658.00,7,0\r\n2006-01-16,17:10:00,3658.00,3659.00,3658.00,3658.00,712,0\r\n2006-01-16,17:11:00,3658.00,3659.00,3658.00,3659.00,1213,0\r\n2006-01-16,17:12:00,3658.00,3659.00,3657.00,3659.00,487,0\r\n2006-01-16,17:13:00,3658.00,3659.00,3658.00,3659.00,105,0\r\n2006-01-16,17:14:00,3659.00,3659.00,3658.00,3658.00,256,0\r\n2006-01-16,17:15:00,3659.00,3659.00,3658.00,3659.00,442,0\r\n2006-01-16,17:16:00,3658.00,3660.00,3658.00,3660.00,817,0\r\n2006-01-16,17:17:00,3659.00,3659.00,3659.00,3659.00,221,0\r\n2006-01-16,17:18:00,3660.00,3660.00,3658.00,3658.00,798,0\r\n2006-01-16,17:19:00,3659.00,3659.00,3658.00,3659.00,78,0\r\n2006-01-16,17:20:00,3659.00,3659.00,3658.00,3659.00,111,0\r\n2006-01-16,17:21:00,3659.00,3659.00,3658.00,3658.00,83,0\r\n2006-01-16,17:22:00,3659.00,3660.00,3658.00,3660.00,1135,0\r\n2006-01-16,17:23:00,3659.00,3661.00,3659.00,3660.00,1436,0\r\n2006-01-16,17:24:00,3660.00,3660.00,3659.00,3660.00,766,0\r\n2006-01-16,17:25:00,3659.00,3660.00,3659.00,3660.00,1334,0\r\n2006-01-16,17:26:00,3660.00,3660.00,3659.00,3659.00,371,0\r\n2006-01-16,17:27:00,3660.00,3661.00,3659.00,3660.00,1085,0\r\n2006-01-16,17:28:00,3660.00,3661.00,3660.00,3660.00,764,0\r\n2006-01-16,17:29:00,3660.00,3661.00,3659.00,3660.00,852,0\r\n2006-01-16,17:30:00,3660.00,3661.00,3660.00,3661.00,4268,0\r\n2006-01-16,17:31:00,3660.00,3661.00,3660.00,3660.00,2262,0\r\n2006-01-16,17:32:00,3660.00,3661.00,3660.00,3661.00,1660,0\r\n2006-01-16,17:33:00,3660.00,3661.00,3660.00,3660.00,393,0\r\n2006-01-16,17:34:00,3661.00,3661.00,3659.00,3660.00,1919,0\r\n2006-01-16,17:35:00,3660.00,3661.00,3659.00,3660.00,1414,0\r\n2006-01-16,17:36:00,3660.00,3660.00,3659.00,3659.00,914,0\r\n2006-01-16,17:37:00,3659.00,3660.00,3659.00,3659.00,645,0\r\n2006-01-16,17:38:00,3660.00,3660.00,3659.00,3660.00,195,0\r\n2006-01-16,17:39:00,3659.00,3660.00,3659.00,3659.00,953,0\r\n2006-01-16,17:40:00,3660.00,3660.00,3659.00,3659.00,626,0\r\n2006-01-16,17:41:00,3659.00,3660.00,3659.00,3659.00,582,0\r\n2006-01-16,17:42:00,3659.00,3659.00,3659.00,3659.00,9,0\r\n2006-01-16,17:43:00,3660.00,3660.00,3658.00,3659.00,724,0\r\n2006-01-16,17:44:00,3658.00,3659.00,3658.00,3659.00,426,0\r\n2006-01-16,17:45:00,3659.00,3659.00,3658.00,3659.00,1054,0\r\n2006-01-16,17:46:00,3659.00,3659.00,3659.00,3659.00,306,0\r\n2006-01-16,17:47:00,3659.00,3660.00,3659.00,3659.00,60,0\r\n2006-01-16,17:48:00,3659.00,3660.00,3659.00,3660.00,66,0\r\n2006-01-16,17:49:00,3659.00,3660.00,3659.00,3659.00,1584,0\r\n2006-01-16,17:50:00,3660.00,3660.00,3659.00,3660.00,137,0\r\n2006-01-16,17:51:00,3659.00,3660.00,3659.00,3660.00,69,0\r\n2006-01-16,17:52:00,3659.00,3659.00,3659.00,3659.00,20,0\r\n2006-01-16,17:53:00,3659.00,3660.00,3659.00,3659.00,9,0\r\n2006-01-16,17:54:00,3660.00,3660.00,3658.00,3658.00,528,0\r\n2006-01-16,17:55:00,3658.00,3659.00,3658.00,3658.00,81,0\r\n2006-01-16,17:56:00,3658.00,3658.00,3658.00,3658.00,21,0\r\n2006-01-16,17:57:00,3658.00,3659.00,3658.00,3658.00,333,0\r\n2006-01-16,17:58:00,3658.00,3658.00,3658.00,3658.00,50,0\r\n2006-01-16,17:59:00,3658.00,3659.00,3658.00,3658.00,42,0\r\n2006-01-16,18:00:00,3659.00,3659.00,3658.00,3658.00,195,0\r\n2006-01-16,18:01:00,3658.00,3659.00,3658.00,3659.00,784,0\r\n2006-01-16,18:02:00,3659.00,3660.00,3659.00,3660.00,163,0\r\n2006-01-16,18:03:00,3660.00,3660.00,3659.00,3660.00,238,0\r\n2006-01-16,18:04:00,3660.00,3660.00,3660.00,3660.00,474,0\r\n2006-01-16,18:05:00,3660.00,3661.00,3660.00,3661.00,1316,0\r\n2006-01-16,18:06:00,3661.00,3661.00,3661.00,3661.00,152,0\r\n2006-01-16,18:07:00,3661.00,3661.00,3661.00,3661.00,635,0\r\n2006-01-16,18:08:00,3661.00,3662.00,3661.00,3661.00,388,0\r\n2006-01-16,18:09:00,3662.00,3662.00,3660.00,3662.00,184,0\r\n2006-01-16,18:10:00,3661.00,3661.00,3661.00,3661.00,263,0\r\n2006-01-16,18:11:00,3661.00,3661.00,3661.00,3661.00,6,0\r\n2006-01-16,18:13:00,3662.00,3662.00,3661.00,3662.00,197,0\r\n2006-01-16,18:14:00,3661.00,3662.00,3661.00,3661.00,111,0\r\n2006-01-16,18:15:00,3662.00,3662.00,3661.00,3662.00,733,0\r\n2006-01-16,18:16:00,3661.00,3662.00,3661.00,3662.00,38,0\r\n2006-01-16,18:17:00,3662.00,3662.00,3661.00,3661.00,107,0\r\n2006-01-16,18:18:00,3661.00,3662.00,3661.00,3661.00,6,0\r\n2006-01-16,18:19:00,3662.00,3662.00,3661.00,3661.00,2,0\r\n2006-01-16,18:20:00,3661.00,3662.00,3661.00,3661.00,166,0\r\n2006-01-16,18:21:00,3661.00,3662.00,3661.00,3661.00,14,0\r\n2006-01-16,18:22:00,3661.00,3661.00,3661.00,3661.00,40,0\r\n2006-01-16,18:23:00,3661.00,3662.00,3661.00,3662.00,14,0\r\n2006-01-16,18:24:00,3662.00,3662.00,3661.00,3661.00,81,0\r\n2006-01-16,18:25:00,3662.00,3662.00,3661.00,3661.00,4,0\r\n2006-01-16,18:26:00,3662.00,3662.00,3661.00,3662.00,3,0\r\n2006-01-16,18:28:00,3662.00,3662.00,3661.00,3662.00,61,0\r\n2006-01-16,18:29:00,3663.00,3663.00,3662.00,3662.00,265,0\r\n2006-01-16,18:30:00,3662.00,3663.00,3662.00,3663.00,4,0\r\n2006-01-16,18:31:00,3663.00,3663.00,3662.00,3662.00,55,0\r\n2006-01-16,18:32:00,3662.00,3662.00,3662.00,3662.00,15,0\r\n2006-01-16,18:33:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-16,18:34:00,3663.00,3663.00,3663.00,3663.00,3,0\r\n2006-01-16,18:36:00,3662.00,3663.00,3662.00,3662.00,12,0\r\n2006-01-16,18:37:00,3662.00,3662.00,3662.00,3662.00,3,0\r\n2006-01-16,18:38:00,3663.00,3663.00,3662.00,3662.00,9,0\r\n2006-01-16,18:39:00,3662.00,3662.00,3662.00,3662.00,24,0\r\n2006-01-16,18:40:00,3662.00,3663.00,3662.00,3663.00,43,0\r\n2006-01-16,18:44:00,3663.00,3664.00,3662.00,3664.00,1189,0\r\n2006-01-16,18:45:00,3663.00,3663.00,3662.00,3662.00,112,0\r\n2006-01-16,18:47:00,3662.00,3663.00,3662.00,3663.00,31,0\r\n2006-01-16,18:48:00,3663.00,3663.00,3662.00,3662.00,101,0\r\n2006-01-16,18:50:00,3662.00,3662.00,3662.00,3662.00,3,0\r\n2006-01-16,18:51:00,3662.00,3662.00,3662.00,3662.00,18,0\r\n2006-01-16,18:52:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-16,18:53:00,3663.00,3663.00,3663.00,3663.00,53,0\r\n2006-01-16,18:54:00,3663.00,3663.00,3663.00,3663.00,1,0\r\n2006-01-16,18:55:00,3662.00,3663.00,3662.00,3663.00,4,0\r\n2006-01-16,18:56:00,3662.00,3662.00,3662.00,3662.00,30,0\r\n2006-01-16,18:57:00,3662.00,3663.00,3662.00,3662.00,9,0\r\n2006-01-16,18:58:00,3662.00,3663.00,3662.00,3662.00,409,0\r\n2006-01-16,18:59:00,3662.00,3663.00,3662.00,3662.00,10,0\r\n2006-01-16,19:00:00,3662.00,3663.00,3662.00,3663.00,143,0\r\n2006-01-16,19:06:00,3662.00,3662.00,3662.00,3662.00,71,0\r\n2006-01-16,19:07:00,3662.00,3662.00,3662.00,3662.00,428,0\r\n2006-01-16,19:08:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,19:09:00,3662.00,3662.00,3661.00,3662.00,103,0\r\n2006-01-16,19:12:00,3663.00,3663.00,3662.00,3662.00,402,0\r\n2006-01-16,19:13:00,3663.00,3663.00,3663.00,3663.00,174,0\r\n2006-01-16,19:14:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:15:00,3662.00,3662.00,3662.00,3662.00,2,0\r\n2006-01-16,19:19:00,3662.00,3662.00,3662.00,3662.00,7,0\r\n2006-01-16,19:20:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:21:00,3663.00,3663.00,3662.00,3662.00,51,0\r\n2006-01-16,19:23:00,3663.00,3663.00,3662.00,3662.00,103,0\r\n2006-01-16,19:24:00,3662.00,3662.00,3662.00,3662.00,3,0\r\n2006-01-16,19:25:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:26:00,3662.00,3662.00,3662.00,3662.00,182,0\r\n2006-01-16,19:27:00,3661.00,3662.00,3661.00,3662.00,2,0\r\n2006-01-16,19:28:00,3662.00,3662.00,3661.00,3661.00,9,0\r\n2006-01-16,19:29:00,3661.00,3661.00,3661.00,3661.00,50,0\r\n2006-01-16,19:31:00,3662.00,3662.00,3661.00,3661.00,87,0\r\n2006-01-16,19:32:00,3662.00,3662.00,3662.00,3662.00,5,0\r\n2006-01-16,19:33:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,19:34:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:35:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,19:37:00,3662.00,3662.00,3661.00,3661.00,401,0\r\n2006-01-16,19:38:00,3662.00,3662.00,3661.00,3661.00,37,0\r\n2006-01-16,19:39:00,3662.00,3662.00,3662.00,3662.00,41,0\r\n2006-01-16,19:40:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,19:42:00,3662.00,3662.00,3662.00,3662.00,101,0\r\n2006-01-16,19:43:00,3662.00,3662.00,3662.00,3662.00,73,0\r\n2006-01-16,19:44:00,3661.00,3662.00,3661.00,3661.00,3,0\r\n2006-01-16,19:45:00,3661.00,3661.00,3661.00,3661.00,22,0\r\n2006-01-16,19:47:00,3662.00,3662.00,3661.00,3661.00,9,0\r\n2006-01-16,19:48:00,3661.00,3661.00,3661.00,3661.00,2,0\r\n2006-01-16,19:49:00,3661.00,3661.00,3661.00,3661.00,20,0\r\n2006-01-16,19:50:00,3662.00,3662.00,3661.00,3661.00,6,0\r\n2006-01-16,19:51:00,3661.00,3661.00,3661.00,3661.00,3,0\r\n2006-01-16,19:52:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:53:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:55:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,19:56:00,3661.00,3661.00,3661.00,3661.00,3,0\r\n2006-01-16,19:57:00,3661.00,3661.00,3661.00,3661.00,28,0\r\n2006-01-16,19:58:00,3661.00,3662.00,3660.00,3660.00,348,0\r\n2006-01-16,19:59:00,3660.00,3660.00,3660.00,3660.00,1,0\r\n2006-01-16,20:00:00,3661.00,3661.00,3660.00,3661.00,30,0\r\n2006-01-16,20:01:00,3661.00,3662.00,3661.00,3661.00,84,0\r\n2006-01-16,20:04:00,3662.00,3662.00,3662.00,3662.00,380,0\r\n2006-01-16,20:06:00,3661.00,3661.00,3661.00,3661.00,2,0\r\n2006-01-16,20:13:00,3661.00,3661.00,3661.00,3661.00,11,0\r\n2006-01-16,20:16:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-16,20:19:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,20:20:00,3661.00,3661.00,3661.00,3661.00,7,0\r\n2006-01-16,20:25:00,3662.00,3662.00,3662.00,3662.00,131,0\r\n2006-01-16,20:26:00,3661.00,3661.00,3660.00,3660.00,200,0\r\n2006-01-16,20:40:00,3661.00,3661.00,3661.00,3661.00,21,0\r\n2006-01-16,20:42:00,3660.00,3660.00,3660.00,3660.00,28,0\r\n2006-01-16,20:55:00,3661.00,3661.00,3661.00,3661.00,2,0\r\n2006-01-16,21:05:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,21:06:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,21:09:00,3660.00,3660.00,3660.00,3660.00,2,0\r\n2006-01-16,21:10:00,3660.00,3660.00,3660.00,3660.00,2,0\r\n2006-01-16,21:12:00,3660.00,3660.00,3660.00,3660.00,6,0\r\n2006-01-16,21:15:00,3660.00,3660.00,3660.00,3660.00,9,0\r\n2006-01-16,21:16:00,3661.00,3661.00,3661.00,3661.00,30,0\r\n2006-01-16,21:30:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,21:31:00,3661.00,3661.00,3661.00,3661.00,5,0\r\n2006-01-16,21:32:00,3661.00,3662.00,3661.00,3662.00,2,0\r\n2006-01-16,21:40:00,3661.00,3661.00,3661.00,3661.00,24,0\r\n2006-01-16,21:43:00,3662.00,3662.00,3662.00,3662.00,26,0\r\n2006-01-16,21:47:00,3661.00,3661.00,3661.00,3661.00,1,0\r\n2006-01-16,21:53:00,3662.00,3662.00,3662.00,3662.00,2,0\r\n2006-01-16,21:54:00,3661.00,3661.00,3659.00,3659.00,474,0\r\n2006-01-16,21:58:00,3660.00,3660.00,3660.00,3660.00,3,0\r\n2006-01-16,21:59:00,3660.00,3660.00,3659.00,3659.00,176,0\r\n2006-01-16,22:00:00,3659.00,3660.00,3659.00,3660.00,50,0\r\n2006-01-17,09:01:00,3632.00,3634.00,3626.00,3627.00,13101,0\r\n2006-01-17,09:02:00,3628.00,3630.00,3627.00,3628.00,3959,0\r\n2006-01-17,09:03:00,3628.00,3630.00,3627.00,3629.00,2194,0\r\n2006-01-17,09:04:00,3630.00,3631.00,3629.00,3630.00,2500,0\r\n2006-01-17,09:05:00,3630.00,3631.00,3629.00,3630.00,2721,0\r\n2006-01-17,09:06:00,3629.00,3630.00,3624.00,3624.00,6866,0\r\n2006-01-17,09:07:00,3624.00,3625.00,3621.00,3621.00,7939,0\r\n2006-01-17,09:08:00,3622.00,3624.00,3621.00,3623.00,3492,0\r\n2006-01-17,09:09:00,3623.00,3625.00,3622.00,3625.00,2440,0\r\n2006-01-17,09:10:00,3624.00,3626.00,3624.00,3626.00,1279,0\r\n2006-01-17,09:11:00,3626.00,3627.00,3624.00,3626.00,2481,0\r\n2006-01-17,09:12:00,3626.00,3627.00,3625.00,3625.00,1477,0\r\n2006-01-17,09:13:00,3626.00,3626.00,3624.00,3626.00,3739,0\r\n2006-01-17,09:14:00,3626.00,3629.00,3626.00,3628.00,1683,0\r\n2006-01-17,09:15:00,3628.00,3629.00,3627.00,3629.00,1456,0\r\n2006-01-17,09:16:00,3629.00,3630.00,3627.00,3629.00,1677,0\r\n2006-01-17,09:17:00,3630.00,3632.00,3630.00,3630.00,3194,0\r\n2006-01-17,09:18:00,3630.00,3631.00,3630.00,3631.00,1633,0\r\n2006-01-17,09:19:00,3631.00,3631.00,3629.00,3629.00,2368,0\r\n2006-01-17,09:20:00,3629.00,3629.00,3627.00,3627.00,1606,0\r\n2006-01-17,09:21:00,3627.00,3628.00,3626.00,3626.00,1629,0\r\n2006-01-17,09:22:00,3626.00,3629.00,3625.00,3629.00,1108,0\r\n2006-01-17,09:23:00,3628.00,3630.00,3628.00,3629.00,1669,0\r\n2006-01-17,09:24:00,3629.00,3630.00,3628.00,3629.00,635,0\r\n2006-01-17,09:25:00,3630.00,3631.00,3630.00,3630.00,1144,0\r\n2006-01-17,09:26:00,3629.00,3630.00,3629.00,3629.00,548,0\r\n2006-01-17,09:27:00,3629.00,3630.00,3628.00,3630.00,521,0\r\n2006-01-17,09:28:00,3629.00,3630.00,3628.00,3629.00,484,0\r\n2006-01-17,09:29:00,3629.00,3630.00,3629.00,3629.00,459,0\r\n2006-01-17,09:30:00,3629.00,3630.00,3628.00,3629.00,2206,0\r\n2006-01-17,09:31:00,3629.00,3629.00,3627.00,3628.00,1542,0\r\n2006-01-17,09:32:00,3628.00,3628.00,3626.00,3627.00,588,0\r\n2006-01-17,09:33:00,3627.00,3627.00,3626.00,3627.00,476,0\r\n2006-01-17,09:34:00,3627.00,3627.00,3626.00,3626.00,1038,0\r\n2006-01-17,09:35:00,3626.00,3628.00,3626.00,3627.00,586,0\r\n2006-01-17,09:36:00,3627.00,3628.00,3626.00,3627.00,649,0\r\n2006-01-17,09:37:00,3627.00,3628.00,3626.00,3628.00,1260,0\r\n2006-01-17,09:38:00,3628.00,3629.00,3627.00,3629.00,1709,0\r\n2006-01-17,09:39:00,3629.00,3632.00,3629.00,3632.00,1508,0\r\n2006-01-17,09:40:00,3632.00,3632.00,3629.00,3629.00,1908,0\r\n2006-01-17,09:41:00,3630.00,3630.00,3629.00,3630.00,205,0\r\n2006-01-17,09:42:00,3630.00,3631.00,3629.00,3630.00,1307,0\r\n2006-01-17,09:43:00,3629.00,3631.00,3629.00,3630.00,522,0\r\n2006-01-17,09:44:00,3630.00,3631.00,3629.00,3630.00,643,0\r\n2006-01-17,09:45:00,3630.00,3630.00,3627.00,3628.00,1433,0\r\n2006-01-17,09:46:00,3628.00,3630.00,3628.00,3628.00,1351,0\r\n2006-01-17,09:47:00,3628.00,3628.00,3626.00,3627.00,521,0\r\n2006-01-17,09:48:00,3627.00,3628.00,3626.00,3628.00,1102,0\r\n2006-01-17,09:49:00,3628.00,3629.00,3628.00,3628.00,1163,0\r\n2006-01-17,09:50:00,3628.00,3629.00,3628.00,3628.00,1264,0\r\n2006-01-17,09:51:00,3628.00,3629.00,3628.00,3628.00,40,0\r\n2006-01-17,09:52:00,3629.00,3629.00,3627.00,3627.00,761,0\r\n2006-01-17,09:53:00,3627.00,3627.00,3626.00,3626.00,859,0\r\n2006-01-17,09:54:00,3626.00,3627.00,3625.00,3626.00,649,0\r\n2006-01-17,09:55:00,3626.00,3627.00,3625.00,3626.00,1228,0\r\n2006-01-17,09:56:00,3626.00,3626.00,3623.00,3624.00,2865,0\r\n2006-01-17,09:57:00,3623.00,3624.00,3621.00,3622.00,3173,0\r\n2006-01-17,09:58:00,3621.00,3624.00,3621.00,3624.00,2326,0\r\n2006-01-17,09:59:00,3624.00,3624.00,3623.00,3624.00,976,0\r\n2006-01-17,10:00:00,3624.00,3624.00,3622.00,3623.00,1206,0\r\n2006-01-17,10:01:00,3623.00,3623.00,3620.00,3622.00,3884,0\r\n2006-01-17,10:02:00,3622.00,3623.00,3620.00,3621.00,2057,0\r\n2006-01-17,10:03:00,3621.00,3621.00,3617.00,3617.00,6361,0\r\n2006-01-17,10:04:00,3618.00,3620.00,3617.00,3618.00,3132,0\r\n2006-01-17,10:05:00,3618.00,3619.00,3618.00,3618.00,1709,0\r\n2006-01-17,10:06:00,3618.00,3621.00,3617.00,3620.00,2452,0\r\n2006-01-17,10:07:00,3621.00,3621.00,3619.00,3619.00,1345,0\r\n2006-01-17,10:08:00,3619.00,3621.00,3619.00,3620.00,1161,0\r\n2006-01-17,10:09:00,3620.00,3621.00,3619.00,3619.00,1325,0\r\n2006-01-17,10:10:00,3619.00,3619.00,3618.00,3618.00,631,0\r\n2006-01-17,10:11:00,3619.00,3620.00,3618.00,3618.00,1690,0\r\n2006-01-17,10:12:00,3618.00,3620.00,3618.00,3620.00,649,0\r\n2006-01-17,10:13:00,3620.00,3620.00,3619.00,3619.00,588,0\r\n2006-01-17,10:14:00,3619.00,3621.00,3619.00,3621.00,652,0\r\n2006-01-17,10:15:00,3620.00,3622.00,3620.00,3621.00,4256,0\r\n2006-01-17,10:16:00,3621.00,3623.00,3621.00,3622.00,2570,0\r\n2006-01-17,10:17:00,3622.00,3622.00,3621.00,3622.00,168,0\r\n2006-01-17,10:18:00,3621.00,3621.00,3619.00,3620.00,1766,0\r\n2006-01-17,10:19:00,3619.00,3620.00,3619.00,3620.00,331,0\r\n2006-01-17,10:20:00,3620.00,3620.00,3618.00,3620.00,1256,0\r\n2006-01-17,10:21:00,3619.00,3621.00,3619.00,3620.00,1398,0\r\n2006-01-17,10:22:00,3621.00,3622.00,3621.00,3622.00,1359,0\r\n2006-01-17,10:23:00,3621.00,3623.00,3621.00,3622.00,532,0\r\n2006-01-17,10:24:00,3622.00,3623.00,3622.00,3622.00,44,0\r\n2006-01-17,10:25:00,3622.00,3624.00,3622.00,3623.00,1386,0\r\n2006-01-17,10:26:00,3623.00,3623.00,3622.00,3622.00,1061,0\r\n2006-01-17,10:27:00,3622.00,3624.00,3622.00,3623.00,522,0\r\n2006-01-17,10:28:00,3624.00,3626.00,3624.00,3625.00,3163,0\r\n2006-01-17,10:29:00,3625.00,3625.00,3624.00,3625.00,412,0\r\n2006-01-17,10:30:00,3625.00,3626.00,3625.00,3626.00,758,0\r\n2006-01-17,10:31:00,3626.00,3626.00,3624.00,3624.00,364,0\r\n2006-01-17,10:32:00,3624.00,3625.00,3624.00,3624.00,472,0\r\n2006-01-17,10:33:00,3624.00,3625.00,3624.00,3624.00,781,0\r\n2006-01-17,10:34:00,3624.00,3624.00,3623.00,3624.00,414,0\r\n2006-01-17,10:35:00,3624.00,3625.00,3623.00,3624.00,913,0\r\n2006-01-17,10:36:00,3624.00,3625.00,3624.00,3625.00,319,0\r\n2006-01-17,10:37:00,3625.00,3625.00,3625.00,3625.00,371,0\r\n2006-01-17,10:38:00,3625.00,3625.00,3624.00,3624.00,381,0\r\n2006-01-17,10:39:00,3625.00,3625.00,3625.00,3625.00,42,0\r\n2006-01-17,10:40:00,3625.00,3626.00,3625.00,3626.00,949,0\r\n2006-01-17,10:41:00,3626.00,3627.00,3625.00,3626.00,2134,0\r\n2006-01-17,10:42:00,3626.00,3628.00,3626.00,3627.00,1497,0\r\n2006-01-17,10:43:00,3627.00,3627.00,3626.00,3627.00,573,0\r\n2006-01-17,10:44:00,3626.00,3627.00,3625.00,3626.00,1747,0\r\n2006-01-17,10:45:00,3627.00,3627.00,3626.00,3627.00,259,0\r\n2006-01-17,10:46:00,3626.00,3627.00,3626.00,3626.00,8,0\r\n2006-01-17,10:47:00,3627.00,3628.00,3627.00,3627.00,1708,0\r\n2006-01-17,10:48:00,3627.00,3628.00,3626.00,3626.00,493,0\r\n2006-01-17,10:49:00,3627.00,3627.00,3626.00,3626.00,749,0\r\n2006-01-17,10:50:00,3627.00,3627.00,3625.00,3626.00,1113,0\r\n2006-01-17,10:51:00,3626.00,3626.00,3625.00,3626.00,142,0\r\n2006-01-17,10:52:00,3625.00,3625.00,3624.00,3624.00,3152,0\r\n2006-01-17,10:53:00,3624.00,3625.00,3624.00,3624.00,227,0\r\n2006-01-17,10:54:00,3625.00,3625.00,3625.00,3625.00,184,0\r\n2006-01-17,10:55:00,3625.00,3625.00,3624.00,3625.00,410,0\r\n2006-01-17,10:56:00,3625.00,3625.00,3625.00,3625.00,596,0\r\n2006-01-17,10:57:00,3625.00,3625.00,3624.00,3625.00,215,0\r\n2006-01-17,10:58:00,3625.00,3626.00,3624.00,3625.00,962,0\r\n2006-01-17,10:59:00,3625.00,3627.00,3625.00,3626.00,819,0\r\n2006-01-17,11:00:00,3626.00,3627.00,3626.00,3627.00,186,0\r\n2006-01-17,11:01:00,3627.00,3627.00,3626.00,3626.00,687,0\r\n2006-01-17,11:02:00,3626.00,3627.00,3626.00,3627.00,136,0\r\n2006-01-17,11:03:00,3626.00,3627.00,3626.00,3627.00,1317,0\r\n2006-01-17,11:04:00,3627.00,3627.00,3626.00,3626.00,193,0\r\n2006-01-17,11:05:00,3626.00,3627.00,3626.00,3627.00,2349,0\r\n2006-01-17,11:06:00,3626.00,3627.00,3626.00,3626.00,304,0\r\n2006-01-17,11:07:00,3626.00,3626.00,3625.00,3625.00,3,0\r\n2006-01-17,11:08:00,3625.00,3626.00,3625.00,3626.00,102,0\r\n2006-01-17,11:09:00,3625.00,3626.00,3625.00,3625.00,423,0\r\n2006-01-17,11:10:00,3625.00,3627.00,3625.00,3626.00,994,0\r\n2006-01-17,11:11:00,3626.00,3627.00,3626.00,3626.00,6,0\r\n2006-01-17,11:12:00,3626.00,3627.00,3626.00,3626.00,149,0\r\n2006-01-17,11:13:00,3627.00,3627.00,3625.00,3625.00,230,0\r\n2006-01-17,11:14:00,3625.00,3626.00,3625.00,3625.00,56,0\r\n2006-01-17,11:15:00,3625.00,3626.00,3625.00,3625.00,10,0\r\n2006-01-17,11:16:00,3626.00,3627.00,3626.00,3627.00,230,0\r\n2006-01-17,11:17:00,3627.00,3627.00,3627.00,3627.00,349,0\r\n2006-01-17,11:18:00,3627.00,3627.00,3626.00,3626.00,447,0\r\n2006-01-17,11:19:00,3626.00,3627.00,3625.00,3627.00,180,0\r\n2006-01-17,11:20:00,3626.00,3627.00,3626.00,3627.00,405,0\r\n2006-01-17,11:21:00,3627.00,3627.00,3626.00,3626.00,99,0\r\n2006-01-17,11:22:00,3626.00,3626.00,3625.00,3626.00,272,0\r\n2006-01-17,11:23:00,3626.00,3626.00,3625.00,3626.00,145,0\r\n2006-01-17,11:24:00,3625.00,3627.00,3625.00,3626.00,241,0\r\n2006-01-17,11:25:00,3626.00,3627.00,3626.00,3627.00,13,0\r\n2006-01-17,11:26:00,3627.00,3627.00,3626.00,3626.00,304,0\r\n2006-01-17,11:27:00,3627.00,3627.00,3626.00,3627.00,187,0\r\n2006-01-17,11:28:00,3626.00,3627.00,3625.00,3626.00,462,0\r\n2006-01-17,11:29:00,3626.00,3626.00,3623.00,3624.00,1296,0\r\n2006-01-17,11:30:00,3623.00,3623.00,3622.00,3623.00,873,0\r\n2006-01-17,11:31:00,3622.00,3623.00,3622.00,3623.00,180,0\r\n2006-01-17,11:32:00,3623.00,3624.00,3623.00,3624.00,88,0\r\n2006-01-17,11:33:00,3624.00,3624.00,3623.00,3624.00,288,0\r\n2006-01-17,11:34:00,3623.00,3623.00,3623.00,3623.00,772,0\r\n2006-01-17,11:35:00,3623.00,3623.00,3623.00,3623.00,2,0\r\n2006-01-17,11:36:00,3624.00,3624.00,3623.00,3624.00,233,0\r\n2006-01-17,11:37:00,3624.00,3624.00,3623.00,3623.00,829,0\r\n2006-01-17,11:38:00,3623.00,3623.00,3622.00,3622.00,150,0\r\n2006-01-17,11:39:00,3623.00,3623.00,3622.00,3622.00,178,0\r\n2006-01-17,11:40:00,3623.00,3623.00,3623.00,3623.00,1,0\r\n2006-01-17,11:41:00,3623.00,3623.00,3623.00,3623.00,161,0\r\n2006-01-17,11:42:00,3623.00,3624.00,3623.00,3623.00,287,0\r\n2006-01-17,11:43:00,3624.00,3624.00,3623.00,3623.00,45,0\r\n2006-01-17,11:44:00,3623.00,3623.00,3622.00,3623.00,405,0\r\n2006-01-17,11:45:00,3623.00,3623.00,3622.00,3622.00,14,0\r\n2006-01-17,11:46:00,3623.00,3623.00,3622.00,3623.00,409,0\r\n2006-01-17,11:47:00,3622.00,3623.00,3622.00,3623.00,115,0\r\n2006-01-17,11:48:00,3623.00,3624.00,3622.00,3624.00,493,0\r\n2006-01-17,11:49:00,3623.00,3624.00,3623.00,3623.00,1582,0\r\n2006-01-17,11:50:00,3623.00,3624.00,3623.00,3624.00,49,0\r\n2006-01-17,11:51:00,3623.00,3624.00,3623.00,3624.00,28,0\r\n2006-01-17,11:52:00,3623.00,3623.00,3622.00,3622.00,825,0\r\n2006-01-17,11:53:00,3622.00,3623.00,3622.00,3623.00,141,0\r\n2006-01-17,11:54:00,3623.00,3623.00,3622.00,3623.00,835,0\r\n2006-01-17,11:55:00,3622.00,3623.00,3622.00,3622.00,403,0\r\n2006-01-17,11:56:00,3622.00,3623.00,3622.00,3623.00,229,0\r\n2006-01-17,11:57:00,3623.00,3624.00,3622.00,3623.00,681,0\r\n2006-01-17,11:58:00,3624.00,3625.00,3624.00,3624.00,654,0\r\n2006-01-17,11:59:00,3625.00,3625.00,3624.00,3624.00,293,0\r\n2006-01-17,12:00:00,3624.00,3625.00,3624.00,3624.00,275,0\r\n2006-01-17,12:01:00,3624.00,3624.00,3622.00,3623.00,931,0\r\n2006-01-17,12:02:00,3623.00,3624.00,3622.00,3623.00,139,0\r\n2006-01-17,12:03:00,3623.00,3623.00,3622.00,3623.00,273,0\r\n2006-01-17,12:04:00,3622.00,3623.00,3621.00,3622.00,784,0\r\n2006-01-17,12:05:00,3622.00,3623.00,3622.00,3623.00,66,0\r\n2006-01-17,12:06:00,3622.00,3623.00,3621.00,3623.00,227,0\r\n2006-01-17,12:07:00,3622.00,3622.00,3622.00,3622.00,21,0\r\n2006-01-17,12:08:00,3623.00,3624.00,3622.00,3623.00,766,0\r\n2006-01-17,12:09:00,3622.00,3623.00,3621.00,3623.00,454,0\r\n2006-01-17,12:10:00,3623.00,3624.00,3622.00,3624.00,803,0\r\n2006-01-17,12:11:00,3623.00,3623.00,3621.00,3622.00,899,0\r\n2006-01-17,12:12:00,3622.00,3623.00,3622.00,3623.00,100,0\r\n2006-01-17,12:13:00,3622.00,3623.00,3622.00,3623.00,749,0\r\n2006-01-17,12:14:00,3622.00,3623.00,3622.00,3622.00,116,0\r\n2006-01-17,12:15:00,3623.00,3623.00,3623.00,3623.00,5,0\r\n2006-01-17,12:16:00,3623.00,3624.00,3622.00,3624.00,702,0\r\n2006-01-17,12:17:00,3623.00,3624.00,3622.00,3623.00,952,0\r\n2006-01-17,12:18:00,3623.00,3624.00,3623.00,3623.00,39,0\r\n2006-01-17,12:19:00,3623.00,3624.00,3623.00,3624.00,1053,0\r\n2006-01-17,12:20:00,3624.00,3626.00,3624.00,3626.00,1233,0\r\n2006-01-17,12:21:00,3625.00,3628.00,3625.00,3628.00,2340,0\r\n2006-01-17,12:22:00,3627.00,3627.00,3626.00,3626.00,103,0\r\n2006-01-17,12:23:00,3627.00,3628.00,3627.00,3627.00,309,0\r\n2006-01-17,12:24:00,3628.00,3628.00,3627.00,3628.00,518,0\r\n2006-01-17,12:25:00,3628.00,3628.00,3627.00,3628.00,52,0\r\n2006-01-17,12:26:00,3628.00,3628.00,3627.00,3627.00,746,0\r\n2006-01-17,12:27:00,3627.00,3628.00,3627.00,3628.00,572,0\r\n2006-01-17,12:28:00,3628.00,3628.00,3628.00,3628.00,92,0\r\n2006-01-17,12:29:00,3628.00,3628.00,3627.00,3627.00,509,0\r\n2006-01-17,12:30:00,3627.00,3628.00,3626.00,3626.00,310,0\r\n2006-01-17,12:31:00,3626.00,3626.00,3626.00,3626.00,50,0\r\n2006-01-17,12:32:00,3627.00,3627.00,3626.00,3627.00,19,0\r\n2006-01-17,12:33:00,3626.00,3627.00,3626.00,3627.00,1204,0\r\n2006-01-17,12:34:00,3627.00,3627.00,3626.00,3627.00,342,0\r\n2006-01-17,12:35:00,3626.00,3627.00,3625.00,3626.00,203,0\r\n2006-01-17,12:36:00,3626.00,3627.00,3625.00,3625.00,343,0\r\n2006-01-17,12:37:00,3626.00,3626.00,3626.00,3626.00,11,0\r\n2006-01-17,12:38:00,3626.00,3626.00,3625.00,3625.00,315,0\r\n2006-01-17,12:39:00,3625.00,3625.00,3624.00,3624.00,96,0\r\n2006-01-17,12:40:00,3625.00,3626.00,3625.00,3626.00,84,0\r\n2006-01-17,12:41:00,3625.00,3626.00,3625.00,3625.00,68,0\r\n2006-01-17,12:42:00,3625.00,3626.00,3625.00,3626.00,398,0\r\n2006-01-17,12:43:00,3626.00,3627.00,3625.00,3627.00,820,0\r\n2006-01-17,12:44:00,3627.00,3627.00,3626.00,3626.00,617,0\r\n2006-01-17,12:45:00,3627.00,3627.00,3626.00,3626.00,35,0\r\n2006-01-17,12:46:00,3627.00,3627.00,3626.00,3626.00,173,0\r\n2006-01-17,12:47:00,3625.00,3627.00,3625.00,3626.00,565,0\r\n2006-01-17,12:48:00,3625.00,3626.00,3625.00,3626.00,64,0\r\n2006-01-17,12:49:00,3626.00,3626.00,3625.00,3626.00,966,0\r\n2006-01-17,12:50:00,3626.00,3627.00,3626.00,3626.00,340,0\r\n2006-01-17,12:51:00,3626.00,3626.00,3626.00,3626.00,39,0\r\n2006-01-17,12:52:00,3626.00,3626.00,3626.00,3626.00,5,0\r\n2006-01-17,12:53:00,3625.00,3626.00,3625.00,3626.00,65,0\r\n2006-01-17,12:54:00,3625.00,3626.00,3625.00,3626.00,181,0\r\n2006-01-17,12:55:00,3625.00,3626.00,3625.00,3626.00,14,0\r\n2006-01-17,12:56:00,3626.00,3626.00,3626.00,3626.00,100,0\r\n2006-01-17,12:58:00,3626.00,3627.00,3626.00,3627.00,207,0\r\n2006-01-17,12:59:00,3626.00,3627.00,3626.00,3627.00,36,0\r\n2006-01-17,13:00:00,3626.00,3627.00,3626.00,3627.00,83,0\r\n2006-01-17,13:01:00,3627.00,3627.00,3627.00,3627.00,133,0\r\n2006-01-17,13:02:00,3626.00,3627.00,3626.00,3627.00,406,0\r\n2006-01-17,13:03:00,3627.00,3627.00,3626.00,3627.00,1002,0\r\n2006-01-17,13:04:00,3626.00,3626.00,3626.00,3626.00,15,0\r\n2006-01-17,13:05:00,3627.00,3627.00,3626.00,3626.00,3,0\r\n2006-01-17,13:06:00,3627.00,3627.00,3625.00,3626.00,438,0\r\n2006-01-17,13:07:00,3626.00,3626.00,3624.00,3625.00,1228,0\r\n2006-01-17,13:08:00,3624.00,3625.00,3622.00,3623.00,1889,0\r\n2006-01-17,13:09:00,3622.00,3624.00,3621.00,3623.00,1517,0\r\n2006-01-17,13:10:00,3623.00,3623.00,3622.00,3622.00,532,0\r\n2006-01-17,13:11:00,3622.00,3624.00,3622.00,3623.00,335,0\r\n2006-01-17,13:12:00,3624.00,3624.00,3623.00,3623.00,4,0\r\n2006-01-17,13:13:00,3624.00,3624.00,3623.00,3624.00,200,0\r\n2006-01-17,13:14:00,3623.00,3623.00,3622.00,3622.00,490,0\r\n2006-01-17,13:15:00,3622.00,3623.00,3622.00,3623.00,1180,0\r\n2006-01-17,13:16:00,3623.00,3624.00,3623.00,3623.00,715,0\r\n2006-01-17,13:17:00,3623.00,3624.00,3623.00,3623.00,593,0\r\n2006-01-17,13:18:00,3623.00,3623.00,3622.00,3623.00,157,0\r\n2006-01-17,13:19:00,3623.00,3623.00,3621.00,3622.00,1104,0\r\n2006-01-17,13:20:00,3622.00,3622.00,3621.00,3622.00,252,0\r\n2006-01-17,13:21:00,3622.00,3623.00,3622.00,3622.00,100,0\r\n2006-01-17,13:22:00,3623.00,3623.00,3622.00,3622.00,262,0\r\n2006-01-17,13:23:00,3622.00,3622.00,3622.00,3622.00,67,0\r\n2006-01-17,13:24:00,3623.00,3623.00,3622.00,3623.00,414,0\r\n2006-01-17,13:25:00,3623.00,3624.00,3623.00,3623.00,179,0\r\n2006-01-17,13:26:00,3623.00,3624.00,3623.00,3624.00,87,0\r\n2006-01-17,13:27:00,3623.00,3624.00,3623.00,3624.00,178,0\r\n2006-01-17,13:28:00,3624.00,3625.00,3624.00,3624.00,806,0\r\n2006-01-17,13:29:00,3623.00,3624.00,3623.00,3623.00,59,0\r\n2006-01-17,13:30:00,3623.00,3624.00,3623.00,3623.00,180,0\r\n2006-01-17,13:31:00,3624.00,3624.00,3623.00,3624.00,107,0\r\n2006-01-17,13:32:00,3623.00,3624.00,3623.00,3623.00,421,0\r\n2006-01-17,13:33:00,3623.00,3623.00,3622.00,3623.00,100,0\r\n2006-01-17,13:34:00,3622.00,3623.00,3622.00,3623.00,23,0\r\n2006-01-17,13:35:00,3623.00,3623.00,3622.00,3622.00,342,0\r\n2006-01-17,13:37:00,3623.00,3623.00,3622.00,3622.00,218,0\r\n2006-01-17,13:38:00,3622.00,3622.00,3622.00,3622.00,932,0\r\n2006-01-17,13:39:00,3622.00,3622.00,3621.00,3622.00,296,0\r\n2006-01-17,13:40:00,3622.00,3622.00,3622.00,3622.00,329,0\r\n2006-01-17,13:41:00,3622.00,3622.00,3622.00,3622.00,2065,0\r\n2006-01-17,13:42:00,3622.00,3623.00,3622.00,3622.00,7,0\r\n2006-01-17,13:43:00,3623.00,3623.00,3623.00,3623.00,1422,0\r\n2006-01-17,13:44:00,3623.00,3623.00,3623.00,3623.00,43,0\r\n2006-01-17,13:45:00,3622.00,3623.00,3622.00,3623.00,155,0\r\n2006-01-17,13:46:00,3623.00,3623.00,3622.00,3622.00,17,0\r\n2006-01-17,13:47:00,3623.00,3623.00,3622.00,3622.00,36,0\r\n2006-01-17,13:48:00,3622.00,3623.00,3622.00,3622.00,5,0\r\n2006-01-17,13:49:00,3622.00,3622.00,3622.00,3622.00,270,0\r\n2006-01-17,13:50:00,3623.00,3623.00,3622.00,3622.00,42,0\r\n2006-01-17,13:51:00,3622.00,3623.00,3622.00,3623.00,676,0\r\n2006-01-17,13:52:00,3623.00,3623.00,3622.00,3623.00,398,0\r\n2006-01-17,13:53:00,3624.00,3624.00,3623.00,3623.00,3,0\r\n2006-01-17,13:54:00,3624.00,3624.00,3624.00,3624.00,629,0\r\n2006-01-17,13:55:00,3623.00,3623.00,3623.00,3623.00,25,0\r\n2006-01-17,13:56:00,3623.00,3623.00,3623.00,3623.00,24,0\r\n2006-01-17,13:57:00,3624.00,3624.00,3623.00,3623.00,35,0\r\n2006-01-17,13:58:00,3623.00,3623.00,3622.00,3623.00,155,0\r\n2006-01-17,13:59:00,3623.00,3623.00,3623.00,3623.00,83,0\r\n2006-01-17,14:00:00,3623.00,3623.00,3622.00,3623.00,35,0\r\n2006-01-17,14:01:00,3623.00,3623.00,3622.00,3623.00,250,0\r\n2006-01-17,14:02:00,3623.00,3623.00,3623.00,3623.00,124,0\r\n2006-01-17,14:03:00,3623.00,3623.00,3623.00,3623.00,18,0\r\n2006-01-17,14:04:00,3624.00,3624.00,3623.00,3623.00,1337,0\r\n2006-01-17,14:05:00,3624.00,3624.00,3623.00,3623.00,134,0\r\n2006-01-17,14:06:00,3622.00,3623.00,3622.00,3623.00,513,0\r\n2006-01-17,14:07:00,3622.00,3622.00,3622.00,3622.00,101,0\r\n2006-01-17,14:08:00,3623.00,3623.00,3623.00,3623.00,2,0\r\n2006-01-17,14:09:00,3622.00,3623.00,3622.00,3622.00,22,0\r\n2006-01-17,14:10:00,3622.00,3622.00,3621.00,3621.00,905,0\r\n2006-01-17,14:11:00,3621.00,3622.00,3621.00,3622.00,189,0\r\n2006-01-17,14:12:00,3621.00,3622.00,3621.00,3622.00,15,0\r\n2006-01-17,14:13:00,3621.00,3621.00,3621.00,3621.00,6,0\r\n2006-01-17,14:14:00,3622.00,3622.00,3621.00,3621.00,1118,0\r\n2006-01-17,14:15:00,3622.00,3622.00,3620.00,3620.00,2046,0\r\n2006-01-17,14:16:00,3620.00,3621.00,3620.00,3620.00,1306,0\r\n2006-01-17,14:17:00,3620.00,3621.00,3620.00,3621.00,646,0\r\n2006-01-17,14:18:00,3621.00,3622.00,3620.00,3620.00,714,0\r\n2006-01-17,14:19:00,3620.00,3621.00,3620.00,3621.00,240,0\r\n2006-01-17,14:20:00,3622.00,3622.00,3621.00,3621.00,354,0\r\n2006-01-17,14:21:00,3621.00,3621.00,3621.00,3621.00,162,0\r\n2006-01-17,14:22:00,3621.00,3621.00,3621.00,3621.00,626,0\r\n2006-01-17,14:23:00,3620.00,3620.00,3620.00,3620.00,339,0\r\n2006-01-17,14:24:00,3621.00,3621.00,3620.00,3620.00,17,0\r\n2006-01-17,14:25:00,3621.00,3621.00,3620.00,3621.00,635,0\r\n2006-01-17,14:26:00,3620.00,3621.00,3620.00,3620.00,160,0\r\n2006-01-17,14:27:00,3620.00,3621.00,3620.00,3620.00,1246,0\r\n2006-01-17,14:28:00,3620.00,3620.00,3619.00,3620.00,1150,0\r\n2006-01-17,14:29:00,3619.00,3620.00,3619.00,3619.00,272,0\r\n2006-01-17,14:30:00,3620.00,3620.00,3619.00,3620.00,152,0\r\n2006-01-17,14:31:00,3620.00,3620.00,3617.00,3618.00,2157,0\r\n2006-01-17,14:32:00,3617.00,3619.00,3617.00,3618.00,1310,0\r\n2006-01-17,14:33:00,3619.00,3619.00,3618.00,3619.00,741,0\r\n2006-01-17,14:34:00,3618.00,3619.00,3617.00,3617.00,1605,0\r\n2006-01-17,14:35:00,3617.00,3618.00,3616.00,3617.00,2121,0\r\n2006-01-17,14:36:00,3617.00,3618.00,3616.00,3618.00,1419,0\r\n2006-01-17,14:37:00,3618.00,3618.00,3617.00,3618.00,1484,0\r\n2006-01-17,14:38:00,3618.00,3618.00,3617.00,3618.00,240,0\r\n2006-01-17,14:39:00,3617.00,3619.00,3617.00,3619.00,1112,0\r\n2006-01-17,14:40:00,3619.00,3619.00,3618.00,3619.00,1586,0\r\n2006-01-17,14:41:00,3619.00,3619.00,3619.00,3619.00,479,0\r\n2006-01-17,14:42:00,3619.00,3620.00,3619.00,3620.00,53,0\r\n2006-01-17,14:43:00,3619.00,3620.00,3619.00,3620.00,1845,0\r\n2006-01-17,14:44:00,3620.00,3621.00,3620.00,3620.00,644,0\r\n2006-01-17,14:45:00,3621.00,3621.00,3620.00,3620.00,177,0\r\n2006-01-17,14:46:00,3620.00,3620.00,3619.00,3620.00,244,0\r\n2006-01-17,14:47:00,3620.00,3620.00,3619.00,3619.00,808,0\r\n2006-01-17,14:48:00,3619.00,3619.00,3619.00,3619.00,80,0\r\n2006-01-17,14:49:00,3619.00,3620.00,3619.00,3620.00,538,0\r\n2006-01-17,14:50:00,3620.00,3621.00,3620.00,3621.00,578,0\r\n2006-01-17,14:51:00,3621.00,3621.00,3620.00,3621.00,751,0\r\n2006-01-17,14:52:00,3621.00,3622.00,3620.00,3621.00,324,0\r\n2006-01-17,14:53:00,3621.00,3621.00,3620.00,3621.00,133,0\r\n2006-01-17,14:54:00,3621.00,3622.00,3621.00,3621.00,552,0\r\n2006-01-17,14:55:00,3622.00,3622.00,3621.00,3622.00,339,0\r\n2006-01-17,14:56:00,3621.00,3622.00,3621.00,3621.00,263,0\r\n2006-01-17,14:57:00,3621.00,3622.00,3621.00,3622.00,830,0\r\n2006-01-17,14:58:00,3621.00,3622.00,3621.00,3622.00,23,0\r\n2006-01-17,14:59:00,3622.00,3622.00,3621.00,3621.00,695,0\r\n2006-01-17,15:00:00,3621.00,3622.00,3621.00,3622.00,5136,0\r\n2006-01-17,15:01:00,3622.00,3623.00,3621.00,3623.00,546,0\r\n2006-01-17,15:02:00,3623.00,3623.00,3622.00,3622.00,158,0\r\n2006-01-17,15:03:00,3622.00,3622.00,3622.00,3622.00,8,0\r\n2006-01-17,15:04:00,3622.00,3622.00,3622.00,3622.00,623,0\r\n2006-01-17,15:05:00,3621.00,3623.00,3621.00,3623.00,109,0\r\n2006-01-17,15:06:00,3623.00,3623.00,3622.00,3623.00,2679,0\r\n2006-01-17,15:07:00,3622.00,3622.00,3621.00,3622.00,660,0\r\n2006-01-17,15:08:00,3622.00,3622.00,3622.00,3622.00,1020,0\r\n2006-01-17,15:09:00,3622.00,3623.00,3622.00,3622.00,509,0\r\n2006-01-17,15:10:00,3623.00,3623.00,3622.00,3623.00,36,0\r\n2006-01-17,15:11:00,3622.00,3623.00,3622.00,3622.00,214,0\r\n2006-01-17,15:12:00,3622.00,3623.00,3621.00,3623.00,308,0\r\n2006-01-17,15:13:00,3622.00,3622.00,3621.00,3622.00,348,0\r\n2006-01-17,15:14:00,3622.00,3622.00,3622.00,3622.00,13,0\r\n2006-01-17,15:15:00,3622.00,3622.00,3621.00,3621.00,304,0\r\n2006-01-17,15:16:00,3621.00,3622.00,3621.00,3621.00,1180,0\r\n2006-01-17,15:17:00,3622.00,3622.00,3621.00,3622.00,442,0\r\n2006-01-17,15:18:00,3622.00,3623.00,3622.00,3623.00,147,0\r\n2006-01-17,15:19:00,3623.00,3623.00,3622.00,3622.00,1006,0\r\n2006-01-17,15:20:00,3622.00,3623.00,3621.00,3622.00,1273,0\r\n2006-01-17,15:21:00,3622.00,3622.00,3622.00,3622.00,207,0\r\n2006-01-17,15:22:00,3622.00,3623.00,3622.00,3623.00,215,0\r\n2006-01-17,15:23:00,3623.00,3623.00,3622.00,3623.00,265,0\r\n2006-01-17,15:24:00,3622.00,3623.00,3622.00,3622.00,424,0\r\n2006-01-17,15:25:00,3622.00,3622.00,3622.00,3622.00,9,0\r\n2006-01-17,15:26:00,3622.00,3623.00,3622.00,3622.00,234,0\r\n2006-01-17,15:27:00,3621.00,3621.00,3621.00,3621.00,51,0\r\n2006-01-17,15:29:00,3622.00,3622.00,3621.00,3622.00,157,0\r\n2006-01-17,15:30:00,3622.00,3623.00,3621.00,3622.00,625,0\r\n2006-01-17,15:31:00,3622.00,3622.00,3620.00,3620.00,2382,0\r\n2006-01-17,15:32:00,3620.00,3621.00,3620.00,3621.00,588,0\r\n2006-01-17,15:33:00,3620.00,3621.00,3620.00,3620.00,1604,0\r\n2006-01-17,15:34:00,3620.00,3621.00,3620.00,3621.00,135,0\r\n2006-01-17,15:35:00,3620.00,3620.00,3620.00,3620.00,731,0\r\n2006-01-17,15:36:00,3621.00,3621.00,3620.00,3621.00,795,0\r\n2006-01-17,15:37:00,3620.00,3621.00,3620.00,3620.00,62,0\r\n2006-01-17,15:38:00,3620.00,3621.00,3620.00,3620.00,533,0\r\n2006-01-17,15:39:00,3620.00,3621.00,3620.00,3621.00,39,0\r\n2006-01-17,15:40:00,3621.00,3621.00,3620.00,3621.00,563,0\r\n2006-01-17,15:41:00,3620.00,3621.00,3620.00,3621.00,431,0\r\n2006-01-17,15:42:00,3621.00,3622.00,3620.00,3622.00,789,0\r\n2006-01-17,15:43:00,3622.00,3623.00,3621.00,3623.00,1038,0\r\n2006-01-17,15:44:00,3623.00,3623.00,3623.00,3623.00,579,0\r\n2006-01-17,15:45:00,3623.00,3624.00,3622.00,3624.00,403,0\r\n2006-01-17,15:46:00,3624.00,3625.00,3623.00,3625.00,3260,0\r\n2006-01-17,15:47:00,3625.00,3626.00,3624.00,3626.00,1921,0\r\n2006-01-17,15:48:00,3626.00,3627.00,3625.00,3627.00,1347,0\r\n2006-01-17,15:49:00,3627.00,3628.00,3626.00,3627.00,3871,0\r\n2006-01-17,15:50:00,3627.00,3628.00,3627.00,3627.00,2001,0\r\n2006-01-17,15:51:00,3627.00,3628.00,3627.00,3627.00,1232,0\r\n2006-01-17,15:52:00,3627.00,3627.00,3626.00,3627.00,960,0\r\n2006-01-17,15:53:00,3627.00,3631.00,3627.00,3630.00,4351,0\r\n2006-01-17,15:54:00,3630.00,3631.00,3629.00,3630.00,1842,0\r\n2006-01-17,15:55:00,3631.00,3631.00,3629.00,3630.00,2242,0\r\n2006-01-17,15:56:00,3629.00,3630.00,3628.00,3630.00,1520,0\r\n2006-01-17,15:57:00,3629.00,3630.00,3628.00,3629.00,1028,0\r\n2006-01-17,15:58:00,3629.00,3629.00,3626.00,3626.00,2199,0\r\n2006-01-17,15:59:00,3626.00,3627.00,3625.00,3626.00,2640,0\r\n2006-01-17,16:00:00,3627.00,3627.00,3625.00,3625.00,411,0\r\n2006-01-17,16:01:00,3625.00,3627.00,3625.00,3626.00,1204,0\r\n2006-01-17,16:02:00,3625.00,3626.00,3624.00,3625.00,2535,0\r\n2006-01-17,16:03:00,3625.00,3625.00,3624.00,3625.00,732,0\r\n2006-01-17,16:04:00,3624.00,3625.00,3623.00,3624.00,1515,0\r\n2006-01-17,16:05:00,3624.00,3625.00,3623.00,3624.00,738,0\r\n2006-01-17,16:06:00,3625.00,3625.00,3624.00,3624.00,1136,0\r\n2006-01-17,16:07:00,3624.00,3625.00,3623.00,3625.00,889,0\r\n2006-01-17,16:08:00,3625.00,3626.00,3625.00,3625.00,995,0\r\n2006-01-17,16:09:00,3626.00,3627.00,3625.00,3626.00,1317,0\r\n2006-01-17,16:10:00,3626.00,3626.00,3624.00,3626.00,554,0\r\n2006-01-17,16:11:00,3626.00,3627.00,3625.00,3627.00,511,0\r\n2006-01-17,16:12:00,3627.00,3629.00,3627.00,3629.00,1311,0\r\n2006-01-17,16:13:00,3628.00,3631.00,3628.00,3630.00,2793,0\r\n2006-01-17,16:14:00,3629.00,3630.00,3629.00,3629.00,701,0\r\n2006-01-17,16:15:00,3629.00,3629.00,3626.00,3627.00,3077,0\r\n2006-01-17,16:16:00,3627.00,3627.00,3626.00,3626.00,1349,0\r\n2006-01-17,16:17:00,3626.00,3626.00,3624.00,3624.00,1518,0\r\n2006-01-17,16:18:00,3624.00,3625.00,3621.00,3622.00,3388,0\r\n2006-01-17,16:19:00,3623.00,3623.00,3622.00,3623.00,2087,0\r\n2006-01-17,16:20:00,3623.00,3623.00,3622.00,3623.00,864,0\r\n2006-01-17,16:21:00,3623.00,3624.00,3622.00,3623.00,536,0\r\n2006-01-17,16:22:00,3622.00,3623.00,3620.00,3621.00,2331,0\r\n2006-01-17,16:23:00,3621.00,3623.00,3621.00,3623.00,854,0\r\n2006-01-17,16:24:00,3623.00,3623.00,3621.00,3623.00,626,0\r\n2006-01-17,16:25:00,3623.00,3625.00,3623.00,3625.00,1056,0\r\n2006-01-17,16:26:00,3625.00,3626.00,3623.00,3626.00,1612,0\r\n2006-01-17,16:27:00,3625.00,3626.00,3624.00,3625.00,865,0\r\n2006-01-17,16:28:00,3625.00,3626.00,3624.00,3626.00,726,0\r\n2006-01-17,16:29:00,3626.00,3627.00,3625.00,3626.00,2478,0\r\n2006-01-17,16:30:00,3626.00,3626.00,3625.00,3626.00,525,0\r\n2006-01-17,16:31:00,3626.00,3627.00,3626.00,3627.00,705,0\r\n2006-01-17,16:32:00,3626.00,3627.00,3625.00,3625.00,561,0\r\n2006-01-17,16:33:00,3625.00,3626.00,3625.00,3626.00,274,0\r\n2006-01-17,16:34:00,3626.00,3627.00,3625.00,3625.00,352,0\r\n2006-01-17,16:35:00,3625.00,3625.00,3624.00,3624.00,798,0\r\n2006-01-17,16:36:00,3624.00,3624.00,3622.00,3623.00,2333,0\r\n2006-01-17,16:37:00,3623.00,3624.00,3623.00,3623.00,1137,0\r\n2006-01-17,16:38:00,3624.00,3625.00,3624.00,3624.00,544,0\r\n2006-01-17,16:39:00,3625.00,3625.00,3622.00,3623.00,1031,0\r\n2006-01-17,16:40:00,3623.00,3623.00,3621.00,3622.00,2197,0\r\n2006-01-17,16:41:00,3622.00,3623.00,3621.00,3622.00,845,0\r\n2006-01-17,16:42:00,3622.00,3623.00,3620.00,3621.00,1529,0\r\n2006-01-17,16:43:00,3621.00,3622.00,3620.00,3620.00,1305,0\r\n2006-01-17,16:44:00,3620.00,3621.00,3619.00,3619.00,1817,0\r\n2006-01-17,16:45:00,3619.00,3621.00,3619.00,3620.00,2221,0\r\n2006-01-17,16:46:00,3619.00,3620.00,3618.00,3618.00,2350,0\r\n2006-01-17,16:47:00,3618.00,3620.00,3618.00,3619.00,1217,0\r\n2006-01-17,16:48:00,3619.00,3620.00,3618.00,3619.00,1498,0\r\n2006-01-17,16:49:00,3620.00,3621.00,3620.00,3621.00,804,0\r\n2006-01-17,16:50:00,3621.00,3621.00,3620.00,3621.00,1353,0\r\n2006-01-17,16:51:00,3621.00,3623.00,3621.00,3622.00,2007,0\r\n2006-01-17,16:52:00,3622.00,3623.00,3622.00,3623.00,1078,0\r\n2006-01-17,16:53:00,3622.00,3622.00,3621.00,3622.00,767,0\r\n2006-01-17,16:54:00,3621.00,3622.00,3621.00,3622.00,109,0\r\n2006-01-17,16:55:00,3622.00,3622.00,3621.00,3622.00,455,0\r\n2006-01-17,16:56:00,3622.00,3622.00,3621.00,3621.00,280,0\r\n2006-01-17,16:57:00,3622.00,3623.00,3621.00,3623.00,1019,0\r\n2006-01-17,16:58:00,3623.00,3623.00,3621.00,3621.00,1064,0\r\n2006-01-17,16:59:00,3622.00,3623.00,3621.00,3622.00,332,0\r\n2006-01-17,17:00:00,3623.00,3624.00,3621.00,3623.00,790,0\r\n2006-01-17,17:01:00,3624.00,3625.00,3623.00,3625.00,1583,0\r\n2006-01-17,17:02:00,3625.00,3625.00,3623.00,3624.00,1543,0\r\n2006-01-17,17:03:00,3624.00,3625.00,3623.00,3625.00,552,0\r\n2006-01-17,17:04:00,3625.00,3625.00,3623.00,3624.00,241,0\r\n2006-01-17,17:05:00,3624.00,3624.00,3623.00,3624.00,1659,0\r\n2006-01-17,17:06:00,3624.00,3625.00,3624.00,3625.00,624,0\r\n2006-01-17,17:07:00,3625.00,3626.00,3624.00,3626.00,1740,0\r\n2006-01-17,17:08:00,3626.00,3626.00,3625.00,3625.00,2449,0\r\n2006-01-17,17:09:00,3624.00,3626.00,3624.00,3626.00,908,0\r\n2006-01-17,17:10:00,3626.00,3627.00,3625.00,3627.00,1544,0\r\n2006-01-17,17:11:00,3627.00,3628.00,3626.00,3627.00,3164,0\r\n2006-01-17,17:12:00,3628.00,3628.00,3626.00,3626.00,981,0\r\n2006-01-17,17:13:00,3627.00,3627.00,3625.00,3626.00,944,0\r\n2006-01-17,17:14:00,3626.00,3626.00,3625.00,3626.00,380,0\r\n2006-01-17,17:15:00,3626.00,3626.00,3625.00,3626.00,412,0\r\n2006-01-17,17:16:00,3626.00,3626.00,3624.00,3624.00,785,0\r\n2006-01-17,17:17:00,3625.00,3626.00,3624.00,3625.00,2083,0\r\n2006-01-17,17:18:00,3625.00,3627.00,3625.00,3627.00,642,0\r\n2006-01-17,17:19:00,3627.00,3627.00,3625.00,3626.00,524,0\r\n2006-01-17,17:20:00,3626.00,3627.00,3625.00,3627.00,1375,0\r\n2006-01-17,17:21:00,3626.00,3627.00,3625.00,3625.00,1462,0\r\n2006-01-17,17:22:00,3625.00,3625.00,3624.00,3625.00,1545,0\r\n2006-01-17,17:23:00,3624.00,3625.00,3623.00,3623.00,845,0\r\n2006-01-17,17:24:00,3624.00,3624.00,3623.00,3624.00,680,0\r\n2006-01-17,17:25:00,3624.00,3624.00,3622.00,3622.00,565,0\r\n2006-01-17,17:26:00,3622.00,3624.00,3622.00,3623.00,2147,0\r\n2006-01-17,17:27:00,3622.00,3623.00,3621.00,3621.00,1629,0\r\n2006-01-17,17:28:00,3622.00,3622.00,3620.00,3620.00,2078,0\r\n2006-01-17,17:29:00,3620.00,3622.00,3620.00,3622.00,3453,0\r\n2006-01-17,17:30:00,3621.00,3623.00,3620.00,3622.00,6180,0\r\n2006-01-17,17:31:00,3622.00,3623.00,3621.00,3621.00,3828,0\r\n2006-01-17,17:32:00,3622.00,3622.00,3621.00,3622.00,2279,0\r\n2006-01-17,17:33:00,3621.00,3622.00,3621.00,3621.00,2825,0\r\n2006-01-17,17:34:00,3621.00,3621.00,3620.00,3621.00,1110,0\r\n2006-01-17,17:35:00,3621.00,3622.00,3620.00,3621.00,2357,0\r\n2006-01-17,17:36:00,3621.00,3622.00,3621.00,3621.00,818,0\r\n2006-01-17,17:37:00,3622.00,3623.00,3621.00,3622.00,819,0\r\n2006-01-17,17:38:00,3621.00,3622.00,3621.00,3621.00,371,0\r\n2006-01-17,17:39:00,3621.00,3622.00,3621.00,3621.00,825,0\r\n2006-01-17,17:40:00,3621.00,3621.00,3620.00,3620.00,1008,0\r\n2006-01-17,17:41:00,3620.00,3620.00,3620.00,3620.00,66,0\r\n2006-01-17,17:42:00,3620.00,3621.00,3620.00,3620.00,289,0\r\n2006-01-17,17:43:00,3621.00,3621.00,3619.00,3620.00,857,0\r\n2006-01-17,17:44:00,3620.00,3620.00,3619.00,3620.00,510,0\r\n2006-01-17,17:45:00,3619.00,3620.00,3619.00,3619.00,154,0\r\n2006-01-17,17:46:00,3620.00,3622.00,3619.00,3622.00,1436,0\r\n2006-01-17,17:47:00,3622.00,3623.00,3621.00,3621.00,842,0\r\n2006-01-17,17:48:00,3621.00,3621.00,3620.00,3620.00,824,0\r\n2006-01-17,17:49:00,3620.00,3621.00,3619.00,3620.00,956,0\r\n2006-01-17,17:50:00,3619.00,3619.00,3618.00,3619.00,2015,0\r\n2006-01-17,17:51:00,3619.00,3620.00,3619.00,3619.00,596,0\r\n2006-01-17,17:52:00,3619.00,3621.00,3619.00,3621.00,782,0\r\n2006-01-17,17:53:00,3621.00,3622.00,3621.00,3622.00,469,0\r\n2006-01-17,17:54:00,3622.00,3622.00,3621.00,3621.00,381,0\r\n2006-01-17,17:55:00,3622.00,3622.00,3622.00,3622.00,282,0\r\n2006-01-17,17:56:00,3621.00,3621.00,3621.00,3621.00,68,0\r\n2006-01-17,17:57:00,3622.00,3622.00,3622.00,3622.00,325,0\r\n2006-01-17,17:58:00,3622.00,3622.00,3621.00,3621.00,365,0\r\n2006-01-17,17:59:00,3622.00,3622.00,3621.00,3621.00,14,0\r\n2006-01-17,18:00:00,3622.00,3622.00,3621.00,3621.00,28,0\r\n2006-01-17,18:01:00,3622.00,3623.00,3622.00,3622.00,273,0\r\n2006-01-17,18:02:00,3622.00,3622.00,3621.00,3621.00,131,0\r\n2006-01-17,18:03:00,3621.00,3622.00,3621.00,3621.00,225,0\r\n2006-01-17,18:04:00,3621.00,3622.00,3621.00,3622.00,188,0\r\n2006-01-17,18:05:00,3621.00,3622.00,3621.00,3622.00,134,0\r\n2006-01-17,18:06:00,3621.00,3622.00,3620.00,3622.00,894,0\r\n2006-01-17,18:07:00,3621.00,3622.00,3621.00,3622.00,462,0\r\n2006-01-17,18:08:00,3622.00,3622.00,3622.00,3622.00,2060,0\r\n2006-01-17,18:09:00,3622.00,3622.00,3621.00,3622.00,552,0\r\n2006-01-17,18:10:00,3623.00,3623.00,3622.00,3622.00,746,0\r\n2006-01-17,18:11:00,3623.00,3623.00,3622.00,3623.00,508,0\r\n2006-01-17,18:12:00,3622.00,3622.00,3621.00,3621.00,11825,0\r\n2006-01-17,18:13:00,3620.00,3621.00,3620.00,3621.00,6,0\r\n2006-01-17,18:14:00,3622.00,3622.00,3621.00,3621.00,373,0\r\n2006-01-17,18:15:00,3621.00,3621.00,3620.00,3621.00,79,0\r\n2006-01-17,18:16:00,3620.00,3621.00,3620.00,3620.00,83,0\r\n2006-01-17,18:17:00,3620.00,3620.00,3620.00,3620.00,167,0\r\n2006-01-17,18:18:00,3620.00,3620.00,3619.00,3620.00,637,0\r\n2006-01-17,18:19:00,3621.00,3621.00,3620.00,3621.00,47,0\r\n2006-01-17,18:20:00,3620.00,3621.00,3619.00,3619.00,530,0\r\n2006-01-17,18:21:00,3619.00,3620.00,3618.00,3619.00,298,0\r\n2006-01-17,18:22:00,3618.00,3618.00,3616.00,3617.00,1769,0\r\n2006-01-17,18:23:00,3617.00,3617.00,3615.00,3616.00,2443,0\r\n2006-01-17,18:24:00,3615.00,3616.00,3615.00,3616.00,634,0\r\n2006-01-17,18:25:00,3616.00,3617.00,3615.00,3616.00,876,0\r\n2006-01-17,18:26:00,3616.00,3616.00,3615.00,3616.00,521,0\r\n2006-01-17,18:27:00,3616.00,3617.00,3614.00,3615.00,1124,0\r\n2006-01-17,18:28:00,3614.00,3615.00,3614.00,3615.00,118,0\r\n2006-01-17,18:29:00,3615.00,3616.00,3615.00,3615.00,357,0\r\n2006-01-17,18:30:00,3616.00,3616.00,3614.00,3614.00,1141,0\r\n2006-01-17,18:31:00,3614.00,3615.00,3613.00,3613.00,1220,0\r\n2006-01-17,18:32:00,3613.00,3615.00,3613.00,3615.00,755,0\r\n2006-01-17,18:33:00,3615.00,3615.00,3615.00,3615.00,342,0\r\n2006-01-17,18:34:00,3615.00,3615.00,3614.00,3615.00,421,0\r\n2006-01-17,18:35:00,3614.00,3614.00,3613.00,3614.00,312,0\r\n2006-01-17,18:36:00,3614.00,3614.00,3613.00,3613.00,141,0\r\n2006-01-17,18:37:00,3614.00,3614.00,3613.00,3613.00,125,0\r\n2006-01-17,18:38:00,3613.00,3614.00,3613.00,3613.00,90,0\r\n2006-01-17,18:39:00,3614.00,3614.00,3613.00,3613.00,1332,0\r\n2006-01-17,18:40:00,3614.00,3615.00,3614.00,3614.00,1154,0\r\n2006-01-17,18:41:00,3615.00,3615.00,3614.00,3615.00,1036,0\r\n2006-01-17,18:42:00,3615.00,3615.00,3614.00,3614.00,5,0\r\n2006-01-17,18:43:00,3615.00,3616.00,3615.00,3616.00,449,0\r\n2006-01-17,18:44:00,3616.00,3616.00,3616.00,3616.00,389,0\r\n2006-01-17,18:45:00,3617.00,3618.00,3617.00,3618.00,501,0\r\n2006-01-17,18:46:00,3617.00,3618.00,3616.00,3617.00,330,0\r\n2006-01-17,18:47:00,3616.00,3617.00,3616.00,3616.00,77,0\r\n2006-01-17,18:48:00,3617.00,3617.00,3617.00,3617.00,51,0\r\n2006-01-17,18:49:00,3617.00,3617.00,3617.00,3617.00,50,0\r\n2006-01-17,18:50:00,3617.00,3617.00,3617.00,3617.00,44,0\r\n2006-01-17,18:51:00,3617.00,3617.00,3617.00,3617.00,52,0\r\n2006-01-17,18:52:00,3617.00,3617.00,3617.00,3617.00,26,0\r\n2006-01-17,18:53:00,3618.00,3618.00,3617.00,3617.00,176,0\r\n2006-01-17,18:54:00,3618.00,3618.00,3618.00,3618.00,461,0\r\n2006-01-17,18:55:00,3618.00,3618.00,3617.00,3617.00,14,0\r\n2006-01-17,18:57:00,3618.00,3618.00,3617.00,3618.00,33,0\r\n2006-01-17,18:59:00,3618.00,3618.00,3618.00,3618.00,1,0\r\n2006-01-17,19:00:00,3617.00,3617.00,3616.00,3617.00,363,0\r\n2006-01-17,19:01:00,3617.00,3617.00,3616.00,3616.00,34,0\r\n2006-01-17,19:02:00,3616.00,3616.00,3616.00,3616.00,71,0\r\n2006-01-17,19:03:00,3616.00,3616.00,3615.00,3615.00,355,0\r\n2006-01-17,19:04:00,3616.00,3616.00,3614.00,3615.00,176,0\r\n2006-01-17,19:05:00,3615.00,3615.00,3613.00,3613.00,332,0\r\n2006-01-17,19:06:00,3614.00,3614.00,3614.00,3614.00,261,0\r\n2006-01-17,19:07:00,3614.00,3615.00,3613.00,3615.00,104,0\r\n2006-01-17,19:08:00,3615.00,3615.00,3615.00,3615.00,219,0\r\n2006-01-17,19:09:00,3616.00,3616.00,3616.00,3616.00,4,0\r\n2006-01-17,19:10:00,3616.00,3616.00,3614.00,3614.00,130,0\r\n2006-01-17,19:11:00,3615.00,3615.00,3615.00,3615.00,105,0\r\n2006-01-17,19:12:00,3615.00,3615.00,3614.00,3615.00,88,0\r\n2006-01-17,19:13:00,3614.00,3615.00,3614.00,3615.00,122,0\r\n2006-01-17,19:14:00,3615.00,3615.00,3613.00,3613.00,129,0\r\n2006-01-17,19:15:00,3613.00,3615.00,3613.00,3615.00,178,0\r\n2006-01-17,19:16:00,3615.00,3616.00,3615.00,3616.00,34,0\r\n2006-01-17,19:17:00,3615.00,3616.00,3615.00,3615.00,77,0\r\n2006-01-17,19:18:00,3615.00,3615.00,3614.00,3614.00,193,0\r\n2006-01-17,19:19:00,3614.00,3615.00,3613.00,3613.00,215,0\r\n2006-01-17,19:20:00,3614.00,3614.00,3612.00,3612.00,238,0\r\n2006-01-17,19:21:00,3613.00,3614.00,3613.00,3614.00,332,0\r\n2006-01-17,19:22:00,3615.00,3616.00,3615.00,3616.00,280,0\r\n2006-01-17,19:23:00,3615.00,3615.00,3615.00,3615.00,101,0\r\n2006-01-17,19:25:00,3614.00,3614.00,3614.00,3614.00,8,0\r\n2006-01-17,19:27:00,3614.00,3614.00,3613.00,3614.00,170,0\r\n2006-01-17,19:28:00,3614.00,3615.00,3614.00,3614.00,124,0\r\n2006-01-17,19:29:00,3614.00,3614.00,3613.00,3614.00,62,0\r\n2006-01-17,19:30:00,3614.00,3616.00,3614.00,3616.00,51,0\r\n2006-01-17,19:31:00,3615.00,3617.00,3615.00,3617.00,112,0\r\n2006-01-17,19:32:00,3617.00,3617.00,3616.00,3616.00,166,0\r\n2006-01-17,19:33:00,3617.00,3619.00,3617.00,3619.00,481,0\r\n2006-01-17,19:34:00,3618.00,3619.00,3618.00,3618.00,191,0\r\n2006-01-17,19:35:00,3618.00,3618.00,3618.00,3618.00,40,0\r\n2006-01-17,19:36:00,3617.00,3617.00,3617.00,3617.00,143,0\r\n2006-01-17,19:37:00,3616.00,3617.00,3616.00,3617.00,7,0\r\n2006-01-17,19:38:00,3616.00,3617.00,3616.00,3617.00,44,0\r\n2006-01-17,19:39:00,3617.00,3617.00,3616.00,3616.00,55,0\r\n2006-01-17,19:42:00,3616.00,3617.00,3616.00,3617.00,216,0\r\n2006-01-17,19:43:00,3617.00,3618.00,3617.00,3618.00,56,0\r\n2006-01-17,19:44:00,3618.00,3618.00,3618.00,3618.00,124,0\r\n2006-01-17,19:45:00,3618.00,3618.00,3618.00,3618.00,23,0\r\n2006-01-17,19:46:00,3618.00,3619.00,3615.00,3616.00,480,0\r\n2006-01-17,19:47:00,3616.00,3616.00,3616.00,3616.00,10,0\r\n2006-01-17,19:48:00,3615.00,3615.00,3614.00,3614.00,131,0\r\n2006-01-17,19:49:00,3615.00,3615.00,3614.00,3614.00,80,0\r\n2006-01-17,19:50:00,3614.00,3614.00,3613.00,3613.00,289,0\r\n2006-01-17,19:51:00,3614.00,3615.00,3613.00,3614.00,483,0\r\n2006-01-17,19:52:00,3614.00,3615.00,3614.00,3615.00,137,0\r\n2006-01-17,19:53:00,3615.00,3615.00,3614.00,3615.00,63,0\r\n2006-01-17,19:54:00,3615.00,3615.00,3615.00,3615.00,12,0\r\n2006-01-17,19:55:00,3615.00,3616.00,3615.00,3616.00,137,0\r\n2006-01-17,19:56:00,3616.00,3617.00,3615.00,3617.00,154,0\r\n2006-01-17,19:57:00,3617.00,3620.00,3617.00,3620.00,539,0\r\n2006-01-17,19:58:00,3620.00,3621.00,3620.00,3620.00,1484,0\r\n2006-01-17,19:59:00,3621.00,3621.00,3619.00,3620.00,773,0\r\n2006-01-17,20:00:00,3620.00,3621.00,3620.00,3620.00,65,0\r\n2006-01-17,20:01:00,3620.00,3622.00,3620.00,3622.00,239,0\r\n2006-01-17,20:02:00,3622.00,3622.00,3621.00,3622.00,411,0\r\n2006-01-17,20:03:00,3622.00,3623.00,3621.00,3621.00,1021,0\r\n2006-01-17,20:04:00,3621.00,3622.00,3620.00,3621.00,161,0\r\n2006-01-17,20:05:00,3622.00,3622.00,3621.00,3621.00,137,0\r\n2006-01-17,20:06:00,3621.00,3622.00,3621.00,3622.00,136,0\r\n2006-01-17,20:07:00,3621.00,3622.00,3621.00,3621.00,9,0\r\n2006-01-17,20:08:00,3622.00,3623.00,3622.00,3622.00,351,0\r\n2006-01-17,20:09:00,3622.00,3622.00,3622.00,3622.00,47,0\r\n2006-01-17,20:10:00,3621.00,3621.00,3621.00,3621.00,23,0\r\n2006-01-17,20:11:00,3620.00,3621.00,3620.00,3621.00,20,0\r\n2006-01-17,20:12:00,3620.00,3620.00,3620.00,3620.00,51,0\r\n2006-01-17,20:13:00,3620.00,3620.00,3618.00,3619.00,612,0\r\n2006-01-17,20:14:00,3619.00,3620.00,3619.00,3620.00,94,0\r\n2006-01-17,20:15:00,3620.00,3620.00,3620.00,3620.00,255,0\r\n2006-01-17,20:16:00,3620.00,3620.00,3620.00,3620.00,13,0\r\n2006-01-17,20:17:00,3620.00,3620.00,3618.00,3619.00,55,0\r\n2006-01-17,20:18:00,3618.00,3618.00,3618.00,3618.00,48,0\r\n2006-01-17,20:19:00,3618.00,3618.00,3617.00,3618.00,3,0\r\n2006-01-17,20:20:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-17,20:21:00,3617.00,3617.00,3615.00,3616.00,91,0\r\n2006-01-17,20:22:00,3617.00,3617.00,3617.00,3617.00,36,0\r\n2006-01-17,20:23:00,3617.00,3617.00,3617.00,3617.00,71,0\r\n2006-01-17,20:24:00,3617.00,3617.00,3617.00,3617.00,24,0\r\n2006-01-17,20:25:00,3618.00,3619.00,3617.00,3618.00,56,0\r\n2006-01-17,20:26:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-17,20:27:00,3618.00,3618.00,3618.00,3618.00,1,0\r\n2006-01-17,20:28:00,3617.00,3617.00,3617.00,3617.00,9,0\r\n2006-01-17,20:29:00,3617.00,3617.00,3617.00,3617.00,20,0\r\n2006-01-17,20:31:00,3618.00,3619.00,3618.00,3618.00,67,0\r\n2006-01-17,20:32:00,3619.00,3619.00,3619.00,3619.00,10,0\r\n2006-01-17,20:33:00,3619.00,3620.00,3619.00,3619.00,22,0\r\n2006-01-17,20:34:00,3618.00,3618.00,3618.00,3618.00,5,0\r\n2006-01-17,20:35:00,3618.00,3618.00,3617.00,3617.00,105,0\r\n2006-01-17,20:36:00,3617.00,3617.00,3616.00,3616.00,192,0\r\n2006-01-17,20:37:00,3616.00,3616.00,3616.00,3616.00,3,0\r\n2006-01-17,20:38:00,3616.00,3617.00,3616.00,3617.00,85,0\r\n2006-01-17,20:40:00,3616.00,3616.00,3616.00,3616.00,1,0\r\n2006-01-17,20:41:00,3617.00,3617.00,3617.00,3617.00,10,0\r\n2006-01-17,20:42:00,3616.00,3616.00,3615.00,3615.00,382,0\r\n2006-01-17,20:45:00,3615.00,3615.00,3615.00,3615.00,35,0\r\n2006-01-17,20:46:00,3615.00,3615.00,3615.00,3615.00,5,0\r\n2006-01-17,20:49:00,3615.00,3615.00,3615.00,3615.00,51,0\r\n2006-01-17,20:50:00,3615.00,3615.00,3615.00,3615.00,2,0\r\n2006-01-17,20:51:00,3615.00,3616.00,3614.00,3614.00,18,0\r\n2006-01-17,20:52:00,3616.00,3616.00,3616.00,3616.00,7,0\r\n2006-01-17,20:53:00,3616.00,3617.00,3616.00,3617.00,12,0\r\n2006-01-17,20:54:00,3617.00,3618.00,3617.00,3618.00,95,0\r\n2006-01-17,20:55:00,3619.00,3619.00,3619.00,3619.00,57,0\r\n2006-01-17,20:56:00,3619.00,3619.00,3619.00,3619.00,43,0\r\n2006-01-17,20:57:00,3619.00,3619.00,3619.00,3619.00,30,0\r\n2006-01-17,20:58:00,3619.00,3619.00,3619.00,3619.00,5,0\r\n2006-01-17,21:00:00,3619.00,3620.00,3619.00,3620.00,134,0\r\n2006-01-17,21:01:00,3621.00,3621.00,3620.00,3620.00,85,0\r\n2006-01-17,21:02:00,3620.00,3620.00,3620.00,3620.00,121,0\r\n2006-01-17,21:03:00,3620.00,3620.00,3620.00,3620.00,62,0\r\n2006-01-17,21:04:00,3619.00,3619.00,3619.00,3619.00,1,0\r\n2006-01-17,21:07:00,3620.00,3620.00,3620.00,3620.00,11,0\r\n2006-01-17,21:08:00,3620.00,3621.00,3620.00,3621.00,53,0\r\n2006-01-17,21:10:00,3621.00,3623.00,3621.00,3622.00,94,0\r\n2006-01-17,21:11:00,3622.00,3622.00,3622.00,3622.00,9,0\r\n2006-01-17,21:12:00,3621.00,3621.00,3621.00,3621.00,18,0\r\n2006-01-17,21:13:00,3622.00,3622.00,3622.00,3622.00,29,0\r\n2006-01-17,21:14:00,3622.00,3622.00,3621.00,3621.00,25,0\r\n2006-01-17,21:15:00,3621.00,3621.00,3621.00,3621.00,11,0\r\n2006-01-17,21:16:00,3621.00,3621.00,3621.00,3621.00,10,0\r\n2006-01-17,21:17:00,3620.00,3620.00,3620.00,3620.00,3,0\r\n2006-01-17,21:18:00,3620.00,3620.00,3620.00,3620.00,1,0\r\n2006-01-17,21:20:00,3621.00,3621.00,3621.00,3621.00,5,0\r\n2006-01-17,21:21:00,3620.00,3621.00,3620.00,3621.00,32,0\r\n2006-01-17,21:22:00,3621.00,3621.00,3621.00,3621.00,43,0\r\n2006-01-17,21:23:00,3621.00,3622.00,3621.00,3622.00,56,0\r\n2006-01-17,21:24:00,3621.00,3621.00,3621.00,3621.00,66,0\r\n2006-01-17,21:25:00,3621.00,3621.00,3621.00,3621.00,4,0\r\n2006-01-17,21:26:00,3621.00,3621.00,3621.00,3621.00,9,0\r\n2006-01-17,21:27:00,3621.00,3621.00,3621.00,3621.00,6,0\r\n2006-01-17,21:28:00,3621.00,3622.00,3621.00,3621.00,13,0\r\n2006-01-17,21:29:00,3621.00,3621.00,3620.00,3620.00,96,0\r\n2006-01-17,21:30:00,3621.00,3621.00,3621.00,3621.00,10,0\r\n2006-01-17,21:31:00,3621.00,3621.00,3620.00,3620.00,233,0\r\n2006-01-17,21:32:00,3620.00,3620.00,3620.00,3620.00,149,0\r\n2006-01-17,21:33:00,3620.00,3620.00,3620.00,3620.00,41,0\r\n2006-01-17,21:34:00,3620.00,3620.00,3620.00,3620.00,19,0\r\n2006-01-17,21:35:00,3620.00,3620.00,3620.00,3620.00,51,0\r\n2006-01-17,21:36:00,3619.00,3620.00,3618.00,3620.00,78,0\r\n2006-01-17,21:37:00,3619.00,3620.00,3619.00,3620.00,7,0\r\n2006-01-17,21:38:00,3619.00,3619.00,3619.00,3619.00,16,0\r\n2006-01-17,21:39:00,3619.00,3620.00,3618.00,3618.00,30,0\r\n2006-01-17,21:40:00,3620.00,3620.00,3619.00,3620.00,22,0\r\n2006-01-17,21:41:00,3620.00,3620.00,3619.00,3620.00,28,0\r\n2006-01-17,21:42:00,3620.00,3621.00,3620.00,3620.00,18,0\r\n2006-01-17,21:43:00,3621.00,3621.00,3620.00,3620.00,26,0\r\n2006-01-17,21:44:00,3620.00,3620.00,3620.00,3620.00,42,0\r\n2006-01-17,21:45:00,3620.00,3620.00,3620.00,3620.00,30,0\r\n2006-01-17,21:46:00,3620.00,3620.00,3620.00,3620.00,25,0\r\n2006-01-17,21:47:00,3620.00,3621.00,3620.00,3621.00,19,0\r\n2006-01-17,21:48:00,3621.00,3622.00,3621.00,3621.00,25,0\r\n2006-01-17,21:49:00,3622.00,3622.00,3621.00,3621.00,16,0\r\n2006-01-17,21:50:00,3622.00,3622.00,3622.00,3622.00,10,0\r\n2006-01-17,21:51:00,3621.00,3622.00,3621.00,3622.00,15,0\r\n2006-01-17,21:52:00,3622.00,3622.00,3621.00,3621.00,21,0\r\n2006-01-17,21:53:00,3622.00,3622.00,3621.00,3621.00,19,0\r\n2006-01-17,21:54:00,3622.00,3622.00,3622.00,3622.00,111,0\r\n2006-01-17,21:55:00,3622.00,3622.00,3622.00,3622.00,35,0\r\n2006-01-17,21:56:00,3621.00,3622.00,3621.00,3621.00,20,0\r\n2006-01-17,21:57:00,3622.00,3622.00,3621.00,3621.00,26,0\r\n2006-01-17,21:58:00,3622.00,3622.00,3622.00,3622.00,62,0\r\n2006-01-17,21:59:00,3622.00,3622.00,3622.00,3622.00,179,0\r\n2006-01-17,22:00:00,3622.00,3622.00,3621.00,3622.00,443,0\r\n2006-01-18,09:01:00,3575.00,3575.00,3567.00,3572.00,24868,0\r\n2006-01-18,09:02:00,3572.00,3573.00,3568.00,3569.00,7406,0\r\n2006-01-18,09:03:00,3569.00,3569.00,3564.00,3566.00,11447,0\r\n2006-01-18,09:04:00,3566.00,3568.00,3562.00,3563.00,8930,0\r\n2006-01-18,09:05:00,3564.00,3567.00,3564.00,3565.00,4871,0\r\n2006-01-18,09:06:00,3566.00,3567.00,3563.00,3566.00,4362,0\r\n2006-01-18,09:07:00,3567.00,3569.00,3566.00,3569.00,3006,0\r\n2006-01-18,09:08:00,3568.00,3571.00,3568.00,3570.00,6402,0\r\n2006-01-18,09:09:00,3571.00,3571.00,3569.00,3569.00,3158,0\r\n2006-01-18,09:10:00,3569.00,3570.00,3568.00,3568.00,2542,0\r\n2006-01-18,09:11:00,3568.00,3569.00,3567.00,3569.00,3468,0\r\n2006-01-18,09:12:00,3569.00,3569.00,3566.00,3568.00,3611,0\r\n2006-01-18,09:13:00,3567.00,3568.00,3562.00,3563.00,5357,0\r\n2006-01-18,09:14:00,3563.00,3565.00,3562.00,3565.00,4901,0\r\n2006-01-18,09:15:00,3564.00,3566.00,3563.00,3565.00,4306,0\r\n2006-01-18,09:16:00,3564.00,3565.00,3563.00,3564.00,4090,0\r\n2006-01-18,09:17:00,3563.00,3565.00,3563.00,3564.00,3454,0\r\n2006-01-18,09:18:00,3564.00,3566.00,3561.00,3563.00,7027,0\r\n2006-01-18,09:19:00,3562.00,3563.00,3558.00,3559.00,6840,0\r\n2006-01-18,09:20:00,3560.00,3562.00,3560.00,3561.00,3996,0\r\n2006-01-18,09:21:00,3561.00,3563.00,3560.00,3563.00,2766,0\r\n2006-01-18,09:22:00,3563.00,3564.00,3562.00,3564.00,3104,0\r\n2006-01-18,09:23:00,3564.00,3564.00,3563.00,3564.00,2082,0\r\n2006-01-18,09:24:00,3564.00,3565.00,3563.00,3565.00,2163,0\r\n2006-01-18,09:25:00,3565.00,3565.00,3563.00,3564.00,2801,0\r\n2006-01-18,09:26:00,3564.00,3566.00,3563.00,3565.00,2367,0\r\n2006-01-18,09:27:00,3566.00,3566.00,3564.00,3564.00,1544,0\r\n2006-01-18,09:28:00,3565.00,3566.00,3564.00,3565.00,1727,0\r\n2006-01-18,09:29:00,3564.00,3567.00,3564.00,3567.00,2568,0\r\n2006-01-18,09:30:00,3566.00,3568.00,3566.00,3568.00,2286,0\r\n2006-01-18,09:31:00,3568.00,3570.00,3568.00,3569.00,2317,0\r\n2006-01-18,09:32:00,3570.00,3571.00,3568.00,3570.00,3192,0\r\n2006-01-18,09:33:00,3570.00,3573.00,3570.00,3573.00,3759,0\r\n2006-01-18,09:34:00,3573.00,3576.00,3572.00,3575.00,7440,0\r\n2006-01-18,09:35:00,3574.00,3577.00,3574.00,3576.00,6057,0\r\n2006-01-18,09:36:00,3577.00,3577.00,3574.00,3576.00,4346,0\r\n2006-01-18,09:37:00,3576.00,3577.00,3575.00,3575.00,3294,0\r\n2006-01-18,09:38:00,3574.00,3575.00,3573.00,3574.00,2638,0\r\n2006-01-18,09:39:00,3574.00,3575.00,3572.00,3573.00,1631,0\r\n2006-01-18,09:40:00,3573.00,3574.00,3571.00,3571.00,5009,0\r\n2006-01-18,09:41:00,3571.00,3572.00,3570.00,3571.00,1700,0\r\n2006-01-18,09:42:00,3571.00,3572.00,3570.00,3571.00,1825,0\r\n2006-01-18,09:43:00,3571.00,3572.00,3571.00,3571.00,748,0\r\n2006-01-18,09:44:00,3572.00,3574.00,3572.00,3574.00,1433,0\r\n2006-01-18,09:45:00,3573.00,3574.00,3573.00,3573.00,1047,0\r\n2006-01-18,09:46:00,3573.00,3575.00,3573.00,3573.00,2086,0\r\n2006-01-18,09:47:00,3574.00,3575.00,3573.00,3573.00,1409,0\r\n2006-01-18,09:48:00,3573.00,3573.00,3572.00,3573.00,1663,0\r\n2006-01-18,09:49:00,3574.00,3575.00,3573.00,3574.00,2119,0\r\n2006-01-18,09:50:00,3573.00,3574.00,3572.00,3573.00,1586,0\r\n2006-01-18,09:51:00,3573.00,3573.00,3571.00,3571.00,1613,0\r\n2006-01-18,09:52:00,3572.00,3572.00,3571.00,3572.00,948,0\r\n2006-01-18,09:53:00,3572.00,3573.00,3571.00,3573.00,1311,0\r\n2006-01-18,09:54:00,3573.00,3574.00,3570.00,3571.00,3348,0\r\n2006-01-18,09:55:00,3571.00,3572.00,3571.00,3571.00,551,0\r\n2006-01-18,09:56:00,3571.00,3573.00,3571.00,3573.00,897,0\r\n2006-01-18,09:57:00,3573.00,3574.00,3573.00,3573.00,869,0\r\n2006-01-18,09:58:00,3573.00,3574.00,3572.00,3573.00,708,0\r\n2006-01-18,09:59:00,3574.00,3574.00,3573.00,3574.00,910,0\r\n2006-01-18,10:00:00,3575.00,3575.00,3574.00,3574.00,1117,0\r\n2006-01-18,10:01:00,3574.00,3574.00,3573.00,3574.00,1493,0\r\n2006-01-18,10:02:00,3574.00,3575.00,3573.00,3573.00,1479,0\r\n2006-01-18,10:03:00,3573.00,3574.00,3572.00,3573.00,1804,0\r\n2006-01-18,10:04:00,3573.00,3574.00,3572.00,3573.00,489,0\r\n2006-01-18,10:05:00,3573.00,3574.00,3573.00,3574.00,1470,0\r\n2006-01-18,10:06:00,3574.00,3574.00,3573.00,3574.00,219,0\r\n2006-01-18,10:07:00,3573.00,3574.00,3570.00,3572.00,5044,0\r\n2006-01-18,10:08:00,3572.00,3572.00,3569.00,3570.00,2045,0\r\n2006-01-18,10:09:00,3570.00,3572.00,3570.00,3571.00,1703,0\r\n2006-01-18,10:10:00,3572.00,3573.00,3570.00,3572.00,3948,0\r\n2006-01-18,10:11:00,3572.00,3572.00,3569.00,3570.00,3213,0\r\n2006-01-18,10:12:00,3571.00,3571.00,3570.00,3570.00,2116,0\r\n2006-01-18,10:13:00,3570.00,3571.00,3570.00,3571.00,939,0\r\n2006-01-18,10:14:00,3571.00,3572.00,3570.00,3570.00,1325,0\r\n2006-01-18,10:15:00,3570.00,3571.00,3568.00,3568.00,4672,0\r\n2006-01-18,10:16:00,3569.00,3569.00,3567.00,3567.00,1672,0\r\n2006-01-18,10:17:00,3568.00,3569.00,3567.00,3568.00,1582,0\r\n2006-01-18,10:18:00,3568.00,3568.00,3566.00,3566.00,5296,0\r\n2006-01-18,10:19:00,3566.00,3569.00,3566.00,3568.00,6320,0\r\n2006-01-18,10:20:00,3568.00,3569.00,3568.00,3568.00,3362,0\r\n2006-01-18,10:21:00,3568.00,3569.00,3568.00,3568.00,2437,0\r\n2006-01-18,10:22:00,3568.00,3568.00,3566.00,3567.00,2140,0\r\n2006-01-18,10:23:00,3567.00,3567.00,3564.00,3564.00,4437,0\r\n2006-01-18,10:24:00,3564.00,3565.00,3564.00,3565.00,2760,0\r\n2006-01-18,10:25:00,3565.00,3566.00,3564.00,3565.00,1202,0\r\n2006-01-18,10:26:00,3565.00,3565.00,3564.00,3565.00,1263,0\r\n2006-01-18,10:27:00,3565.00,3566.00,3565.00,3566.00,2433,0\r\n2006-01-18,10:28:00,3566.00,3568.00,3566.00,3568.00,2462,0\r\n2006-01-18,10:29:00,3568.00,3568.00,3566.00,3567.00,1835,0\r\n2006-01-18,10:30:00,3567.00,3568.00,3565.00,3566.00,2314,0\r\n2006-01-18,10:31:00,3565.00,3566.00,3565.00,3565.00,678,0\r\n2006-01-18,10:32:00,3565.00,3568.00,3565.00,3567.00,1766,0\r\n2006-01-18,10:33:00,3568.00,3568.00,3565.00,3566.00,2422,0\r\n2006-01-18,10:34:00,3566.00,3566.00,3565.00,3565.00,1290,0\r\n2006-01-18,10:35:00,3565.00,3567.00,3565.00,3567.00,445,0\r\n2006-01-18,10:36:00,3567.00,3567.00,3566.00,3566.00,568,0\r\n2006-01-18,10:37:00,3567.00,3568.00,3566.00,3567.00,1304,0\r\n2006-01-18,10:38:00,3567.00,3567.00,3566.00,3566.00,4395,0\r\n2006-01-18,10:39:00,3567.00,3567.00,3566.00,3566.00,481,0\r\n2006-01-18,10:40:00,3567.00,3567.00,3566.00,3566.00,237,0\r\n2006-01-18,10:41:00,3566.00,3566.00,3566.00,3566.00,257,0\r\n2006-01-18,10:42:00,3567.00,3567.00,3566.00,3566.00,404,0\r\n2006-01-18,10:43:00,3566.00,3567.00,3566.00,3566.00,79,0\r\n2006-01-18,10:44:00,3566.00,3567.00,3566.00,3566.00,1519,0\r\n2006-01-18,10:45:00,3566.00,3568.00,3566.00,3568.00,956,0\r\n2006-01-18,10:46:00,3567.00,3569.00,3567.00,3567.00,1535,0\r\n2006-01-18,10:47:00,3568.00,3569.00,3567.00,3568.00,381,0\r\n2006-01-18,10:48:00,3568.00,3569.00,3568.00,3568.00,318,0\r\n2006-01-18,10:49:00,3568.00,3568.00,3567.00,3568.00,254,0\r\n2006-01-18,10:50:00,3568.00,3568.00,3567.00,3567.00,303,0\r\n2006-01-18,10:51:00,3568.00,3568.00,3567.00,3567.00,375,0\r\n2006-01-18,10:52:00,3567.00,3567.00,3566.00,3567.00,434,0\r\n2006-01-18,10:53:00,3567.00,3567.00,3566.00,3566.00,2730,0\r\n2006-01-18,10:54:00,3566.00,3567.00,3566.00,3566.00,679,0\r\n2006-01-18,10:55:00,3566.00,3566.00,3564.00,3565.00,2538,0\r\n2006-01-18,10:56:00,3565.00,3566.00,3565.00,3566.00,1144,0\r\n2006-01-18,10:57:00,3566.00,3567.00,3566.00,3566.00,658,0\r\n2006-01-18,10:58:00,3567.00,3568.00,3567.00,3568.00,2777,0\r\n2006-01-18,10:59:00,3568.00,3568.00,3567.00,3567.00,1115,0\r\n2006-01-18,11:00:00,3568.00,3568.00,3567.00,3568.00,517,0\r\n2006-01-18,11:01:00,3568.00,3568.00,3567.00,3568.00,377,0\r\n2006-01-18,11:02:00,3567.00,3568.00,3567.00,3568.00,285,0\r\n2006-01-18,11:03:00,3568.00,3568.00,3567.00,3568.00,321,0\r\n2006-01-18,11:04:00,3568.00,3569.00,3568.00,3569.00,148,0\r\n2006-01-18,11:05:00,3569.00,3569.00,3567.00,3569.00,2305,0\r\n2006-01-18,11:06:00,3569.00,3570.00,3568.00,3569.00,1297,0\r\n2006-01-18,11:07:00,3568.00,3571.00,3568.00,3571.00,1538,0\r\n2006-01-18,11:08:00,3570.00,3571.00,3569.00,3571.00,1867,0\r\n2006-01-18,11:09:00,3570.00,3571.00,3570.00,3571.00,1501,0\r\n2006-01-18,11:10:00,3570.00,3572.00,3570.00,3572.00,463,0\r\n2006-01-18,11:11:00,3571.00,3571.00,3570.00,3570.00,495,0\r\n2006-01-18,11:12:00,3570.00,3571.00,3570.00,3571.00,760,0\r\n2006-01-18,11:13:00,3571.00,3571.00,3570.00,3571.00,1881,0\r\n2006-01-18,11:14:00,3570.00,3571.00,3570.00,3571.00,931,0\r\n2006-01-18,11:15:00,3571.00,3571.00,3570.00,3571.00,905,0\r\n2006-01-18,11:16:00,3571.00,3572.00,3571.00,3572.00,1417,0\r\n2006-01-18,11:17:00,3572.00,3573.00,3571.00,3572.00,1615,0\r\n2006-01-18,11:18:00,3572.00,3573.00,3572.00,3573.00,1131,0\r\n2006-01-18,11:19:00,3572.00,3572.00,3571.00,3572.00,651,0\r\n2006-01-18,11:20:00,3572.00,3573.00,3572.00,3573.00,323,0\r\n2006-01-18,11:21:00,3573.00,3574.00,3572.00,3572.00,1598,0\r\n2006-01-18,11:22:00,3572.00,3572.00,3572.00,3572.00,384,0\r\n2006-01-18,11:23:00,3572.00,3574.00,3572.00,3573.00,924,0\r\n2006-01-18,11:24:00,3573.00,3573.00,3572.00,3572.00,538,0\r\n2006-01-18,11:25:00,3573.00,3574.00,3572.00,3573.00,594,0\r\n2006-01-18,11:26:00,3572.00,3573.00,3572.00,3572.00,822,0\r\n2006-01-18,11:27:00,3572.00,3572.00,3571.00,3572.00,50,0\r\n2006-01-18,11:28:00,3572.00,3572.00,3572.00,3572.00,18,0\r\n2006-01-18,11:29:00,3571.00,3572.00,3571.00,3572.00,703,0\r\n2006-01-18,11:30:00,3572.00,3572.00,3571.00,3572.00,358,0\r\n2006-01-18,11:31:00,3571.00,3572.00,3571.00,3571.00,129,0\r\n2006-01-18,11:32:00,3572.00,3572.00,3571.00,3571.00,2270,0\r\n2006-01-18,11:33:00,3572.00,3572.00,3571.00,3571.00,987,0\r\n2006-01-18,11:34:00,3572.00,3572.00,3571.00,3571.00,66,0\r\n2006-01-18,11:35:00,3572.00,3572.00,3571.00,3572.00,77,0\r\n2006-01-18,11:36:00,3572.00,3572.00,3571.00,3572.00,112,0\r\n2006-01-18,11:37:00,3571.00,3571.00,3570.00,3570.00,2342,0\r\n2006-01-18,11:38:00,3570.00,3570.00,3568.00,3569.00,832,0\r\n2006-01-18,11:39:00,3570.00,3570.00,3568.00,3568.00,1454,0\r\n2006-01-18,11:40:00,3569.00,3569.00,3568.00,3569.00,563,0\r\n2006-01-18,11:41:00,3568.00,3570.00,3568.00,3569.00,807,0\r\n2006-01-18,11:42:00,3570.00,3570.00,3569.00,3570.00,307,0\r\n2006-01-18,11:43:00,3569.00,3570.00,3569.00,3570.00,70,0\r\n2006-01-18,11:44:00,3570.00,3571.00,3569.00,3570.00,785,0\r\n2006-01-18,11:45:00,3570.00,3571.00,3570.00,3571.00,560,0\r\n2006-01-18,11:46:00,3571.00,3571.00,3569.00,3570.00,1467,0\r\n2006-01-18,11:47:00,3570.00,3570.00,3570.00,3570.00,158,0\r\n2006-01-18,11:48:00,3569.00,3570.00,3569.00,3569.00,91,0\r\n2006-01-18,11:49:00,3570.00,3571.00,3569.00,3571.00,651,0\r\n2006-01-18,11:50:00,3570.00,3571.00,3569.00,3570.00,1161,0\r\n2006-01-18,11:51:00,3571.00,3571.00,3570.00,3570.00,311,0\r\n2006-01-18,11:52:00,3570.00,3570.00,3570.00,3570.00,1772,0\r\n2006-01-18,11:53:00,3570.00,3570.00,3570.00,3570.00,55,0\r\n2006-01-18,11:54:00,3571.00,3571.00,3570.00,3571.00,76,0\r\n2006-01-18,11:55:00,3571.00,3571.00,3571.00,3571.00,293,0\r\n2006-01-18,11:56:00,3570.00,3571.00,3570.00,3570.00,551,0\r\n2006-01-18,11:57:00,3570.00,3571.00,3569.00,3570.00,421,0\r\n2006-01-18,11:58:00,3570.00,3570.00,3569.00,3570.00,770,0\r\n2006-01-18,11:59:00,3570.00,3570.00,3569.00,3570.00,693,0\r\n2006-01-18,12:00:00,3570.00,3570.00,3570.00,3570.00,76,0\r\n2006-01-18,12:01:00,3570.00,3570.00,3569.00,3569.00,341,0\r\n2006-01-18,12:02:00,3570.00,3570.00,3569.00,3569.00,128,0\r\n2006-01-18,12:03:00,3569.00,3570.00,3569.00,3569.00,1385,0\r\n2006-01-18,12:04:00,3569.00,3570.00,3569.00,3569.00,105,0\r\n2006-01-18,12:05:00,3570.00,3570.00,3569.00,3570.00,3011,0\r\n2006-01-18,12:06:00,3570.00,3570.00,3569.00,3569.00,8,0\r\n2006-01-18,12:07:00,3569.00,3570.00,3569.00,3569.00,960,0\r\n2006-01-18,12:08:00,3569.00,3570.00,3569.00,3570.00,1523,0\r\n2006-01-18,12:09:00,3570.00,3570.00,3569.00,3569.00,7,0\r\n2006-01-18,12:10:00,3570.00,3570.00,3569.00,3569.00,49,0\r\n2006-01-18,12:11:00,3569.00,3570.00,3568.00,3569.00,787,0\r\n2006-01-18,12:12:00,3569.00,3569.00,3569.00,3569.00,157,0\r\n2006-01-18,12:13:00,3569.00,3569.00,3568.00,3569.00,712,0\r\n2006-01-18,12:14:00,3569.00,3569.00,3569.00,3569.00,328,0\r\n2006-01-18,12:15:00,3570.00,3570.00,3570.00,3570.00,51,0\r\n2006-01-18,12:16:00,3570.00,3570.00,3568.00,3568.00,218,0\r\n2006-01-18,12:17:00,3569.00,3569.00,3568.00,3569.00,924,0\r\n2006-01-18,12:18:00,3569.00,3569.00,3569.00,3569.00,227,0\r\n2006-01-18,12:19:00,3569.00,3569.00,3568.00,3569.00,2917,0\r\n2006-01-18,12:20:00,3569.00,3569.00,3569.00,3569.00,196,0\r\n2006-01-18,12:21:00,3568.00,3569.00,3568.00,3568.00,66,0\r\n2006-01-18,12:22:00,3569.00,3569.00,3568.00,3568.00,374,0\r\n2006-01-18,12:23:00,3569.00,3569.00,3568.00,3568.00,125,0\r\n2006-01-18,12:24:00,3568.00,3568.00,3567.00,3568.00,716,0\r\n2006-01-18,12:25:00,3568.00,3569.00,3568.00,3568.00,1126,0\r\n2006-01-18,12:26:00,3567.00,3567.00,3567.00,3567.00,2,0\r\n2006-01-18,12:27:00,3567.00,3568.00,3567.00,3568.00,152,0\r\n2006-01-18,12:28:00,3568.00,3568.00,3568.00,3568.00,104,0\r\n2006-01-18,12:29:00,3568.00,3568.00,3568.00,3568.00,416,0\r\n2006-01-18,12:30:00,3568.00,3568.00,3567.00,3568.00,295,0\r\n2006-01-18,12:31:00,3568.00,3568.00,3568.00,3568.00,318,0\r\n2006-01-18,12:32:00,3568.00,3569.00,3568.00,3568.00,660,0\r\n2006-01-18,12:33:00,3568.00,3568.00,3568.00,3568.00,153,0\r\n2006-01-18,12:35:00,3569.00,3569.00,3568.00,3568.00,212,0\r\n2006-01-18,12:36:00,3568.00,3568.00,3568.00,3568.00,445,0\r\n2006-01-18,12:37:00,3568.00,3568.00,3568.00,3568.00,149,0\r\n2006-01-18,12:38:00,3568.00,3568.00,3567.00,3567.00,409,0\r\n2006-01-18,12:39:00,3568.00,3568.00,3567.00,3567.00,152,0\r\n2006-01-18,12:40:00,3568.00,3568.00,3566.00,3568.00,778,0\r\n2006-01-18,12:41:00,3568.00,3568.00,3568.00,3568.00,502,0\r\n2006-01-18,12:42:00,3568.00,3568.00,3567.00,3568.00,2449,0\r\n2006-01-18,12:43:00,3568.00,3569.00,3568.00,3568.00,364,0\r\n2006-01-18,12:44:00,3568.00,3568.00,3567.00,3568.00,229,0\r\n2006-01-18,12:45:00,3568.00,3568.00,3566.00,3567.00,1032,0\r\n2006-01-18,12:46:00,3567.00,3568.00,3566.00,3568.00,885,0\r\n2006-01-18,12:47:00,3568.00,3568.00,3567.00,3568.00,280,0\r\n2006-01-18,12:48:00,3567.00,3568.00,3566.00,3567.00,571,0\r\n2006-01-18,12:49:00,3566.00,3567.00,3566.00,3567.00,2413,0\r\n2006-01-18,12:50:00,3567.00,3567.00,3566.00,3567.00,39,0\r\n2006-01-18,12:51:00,3567.00,3568.00,3567.00,3568.00,810,0\r\n2006-01-18,12:52:00,3568.00,3569.00,3568.00,3568.00,1598,0\r\n2006-01-18,12:53:00,3568.00,3569.00,3567.00,3568.00,319,0\r\n2006-01-18,12:54:00,3568.00,3568.00,3568.00,3568.00,452,0\r\n2006-01-18,12:55:00,3569.00,3569.00,3568.00,3569.00,128,0\r\n2006-01-18,12:56:00,3568.00,3569.00,3567.00,3567.00,192,0\r\n2006-01-18,12:57:00,3568.00,3568.00,3566.00,3566.00,357,0\r\n2006-01-18,12:58:00,3566.00,3567.00,3566.00,3567.00,190,0\r\n2006-01-18,12:59:00,3567.00,3567.00,3566.00,3567.00,506,0\r\n2006-01-18,13:00:00,3567.00,3567.00,3566.00,3567.00,207,0\r\n2006-01-18,13:01:00,3567.00,3567.00,3566.00,3567.00,29,0\r\n2006-01-18,13:02:00,3567.00,3567.00,3565.00,3566.00,734,0\r\n2006-01-18,13:03:00,3565.00,3568.00,3565.00,3567.00,402,0\r\n2006-01-18,13:04:00,3567.00,3568.00,3567.00,3567.00,670,0\r\n2006-01-18,13:05:00,3567.00,3567.00,3566.00,3567.00,372,0\r\n2006-01-18,13:06:00,3566.00,3568.00,3566.00,3568.00,368,0\r\n2006-01-18,13:07:00,3568.00,3568.00,3567.00,3567.00,115,0\r\n2006-01-18,13:08:00,3568.00,3569.00,3568.00,3569.00,735,0\r\n2006-01-18,13:09:00,3569.00,3569.00,3568.00,3568.00,1123,0\r\n2006-01-18,13:10:00,3568.00,3569.00,3568.00,3568.00,355,0\r\n2006-01-18,13:11:00,3569.00,3570.00,3568.00,3570.00,508,0\r\n2006-01-18,13:12:00,3569.00,3571.00,3569.00,3571.00,926,0\r\n2006-01-18,13:13:00,3570.00,3571.00,3570.00,3570.00,458,0\r\n2006-01-18,13:14:00,3570.00,3570.00,3570.00,3570.00,245,0\r\n2006-01-18,13:15:00,3570.00,3571.00,3570.00,3571.00,1817,0\r\n2006-01-18,13:16:00,3570.00,3570.00,3569.00,3569.00,428,0\r\n2006-01-18,13:17:00,3570.00,3572.00,3570.00,3572.00,2390,0\r\n2006-01-18,13:18:00,3572.00,3574.00,3571.00,3573.00,2740,0\r\n2006-01-18,13:19:00,3573.00,3574.00,3572.00,3573.00,1765,0\r\n2006-01-18,13:20:00,3573.00,3575.00,3573.00,3574.00,889,0\r\n2006-01-18,13:21:00,3574.00,3574.00,3573.00,3573.00,734,0\r\n2006-01-18,13:22:00,3574.00,3575.00,3574.00,3575.00,1882,0\r\n2006-01-18,13:23:00,3574.00,3575.00,3574.00,3574.00,857,0\r\n2006-01-18,13:24:00,3574.00,3575.00,3573.00,3575.00,607,0\r\n2006-01-18,13:25:00,3574.00,3576.00,3574.00,3576.00,864,0\r\n2006-01-18,13:26:00,3576.00,3577.00,3575.00,3577.00,4674,0\r\n2006-01-18,13:27:00,3577.00,3577.00,3576.00,3577.00,252,0\r\n2006-01-18,13:28:00,3577.00,3577.00,3576.00,3576.00,1621,0\r\n2006-01-18,13:29:00,3576.00,3576.00,3575.00,3575.00,314,0\r\n2006-01-18,13:30:00,3576.00,3578.00,3575.00,3577.00,1289,0\r\n2006-01-18,13:31:00,3577.00,3578.00,3577.00,3577.00,954,0\r\n2006-01-18,13:32:00,3578.00,3578.00,3577.00,3578.00,304,0\r\n2006-01-18,13:33:00,3578.00,3580.00,3578.00,3579.00,2621,0\r\n2006-01-18,13:34:00,3578.00,3579.00,3577.00,3578.00,654,0\r\n2006-01-18,13:35:00,3578.00,3579.00,3578.00,3578.00,796,0\r\n2006-01-18,13:36:00,3578.00,3579.00,3577.00,3578.00,954,0\r\n2006-01-18,13:37:00,3579.00,3579.00,3578.00,3578.00,247,0\r\n2006-01-18,13:38:00,3579.00,3579.00,3578.00,3578.00,116,0\r\n2006-01-18,13:39:00,3579.00,3579.00,3577.00,3578.00,1364,0\r\n2006-01-18,13:40:00,3577.00,3577.00,3576.00,3576.00,1076,0\r\n2006-01-18,13:41:00,3576.00,3576.00,3575.00,3576.00,544,0\r\n2006-01-18,13:42:00,3576.00,3576.00,3575.00,3575.00,73,0\r\n2006-01-18,13:43:00,3576.00,3577.00,3576.00,3577.00,477,0\r\n2006-01-18,13:44:00,3576.00,3577.00,3576.00,3577.00,420,0\r\n2006-01-18,13:45:00,3576.00,3577.00,3576.00,3577.00,154,0\r\n2006-01-18,13:46:00,3576.00,3577.00,3576.00,3577.00,1059,0\r\n2006-01-18,13:47:00,3576.00,3577.00,3575.00,3576.00,731,0\r\n2006-01-18,13:48:00,3575.00,3576.00,3575.00,3576.00,291,0\r\n2006-01-18,13:49:00,3576.00,3576.00,3575.00,3575.00,1129,0\r\n2006-01-18,13:50:00,3576.00,3576.00,3575.00,3576.00,78,0\r\n2006-01-18,13:51:00,3575.00,3576.00,3575.00,3576.00,32,0\r\n2006-01-18,13:52:00,3576.00,3576.00,3575.00,3576.00,847,0\r\n2006-01-18,13:54:00,3576.00,3576.00,3575.00,3575.00,181,0\r\n2006-01-18,13:55:00,3575.00,3576.00,3575.00,3576.00,37,0\r\n2006-01-18,13:56:00,3576.00,3576.00,3576.00,3576.00,602,0\r\n2006-01-18,13:57:00,3576.00,3576.00,3576.00,3576.00,163,0\r\n2006-01-18,13:58:00,3575.00,3576.00,3574.00,3574.00,1074,0\r\n2006-01-18,13:59:00,3574.00,3575.00,3573.00,3573.00,1061,0\r\n2006-01-18,14:00:00,3574.00,3575.00,3574.00,3574.00,862,0\r\n2006-01-18,14:01:00,3574.00,3574.00,3574.00,3574.00,776,0\r\n2006-01-18,14:02:00,3574.00,3575.00,3574.00,3575.00,35,0\r\n2006-01-18,14:03:00,3574.00,3575.00,3574.00,3574.00,26,0\r\n2006-01-18,14:04:00,3574.00,3575.00,3574.00,3574.00,482,0\r\n2006-01-18,14:05:00,3573.00,3573.00,3573.00,3573.00,295,0\r\n2006-01-18,14:06:00,3573.00,3574.00,3572.00,3573.00,1002,0\r\n2006-01-18,14:07:00,3574.00,3574.00,3573.00,3573.00,1479,0\r\n2006-01-18,14:08:00,3573.00,3573.00,3572.00,3573.00,482,0\r\n2006-01-18,14:09:00,3573.00,3573.00,3573.00,3573.00,312,0\r\n2006-01-18,14:10:00,3573.00,3573.00,3573.00,3573.00,98,0\r\n2006-01-18,14:11:00,3572.00,3573.00,3572.00,3573.00,134,0\r\n2006-01-18,14:12:00,3572.00,3573.00,3572.00,3573.00,4,0\r\n2006-01-18,14:13:00,3573.00,3574.00,3572.00,3573.00,843,0\r\n2006-01-18,14:14:00,3573.00,3573.00,3572.00,3572.00,888,0\r\n2006-01-18,14:15:00,3573.00,3573.00,3572.00,3573.00,116,0\r\n2006-01-18,14:16:00,3573.00,3573.00,3573.00,3573.00,25,0\r\n2006-01-18,14:17:00,3573.00,3573.00,3572.00,3573.00,145,0\r\n2006-01-18,14:18:00,3573.00,3573.00,3572.00,3573.00,376,0\r\n2006-01-18,14:19:00,3573.00,3573.00,3572.00,3573.00,57,0\r\n2006-01-18,14:20:00,3573.00,3573.00,3572.00,3573.00,232,0\r\n2006-01-18,14:21:00,3573.00,3573.00,3573.00,3573.00,386,0\r\n2006-01-18,14:22:00,3573.00,3574.00,3573.00,3573.00,1283,0\r\n2006-01-18,14:23:00,3574.00,3574.00,3573.00,3574.00,192,0\r\n2006-01-18,14:24:00,3574.00,3574.00,3573.00,3574.00,64,0\r\n2006-01-18,14:25:00,3573.00,3574.00,3573.00,3574.00,194,0\r\n2006-01-18,14:26:00,3574.00,3574.00,3573.00,3574.00,253,0\r\n2006-01-18,14:27:00,3574.00,3575.00,3573.00,3575.00,927,0\r\n2006-01-18,14:28:00,3575.00,3575.00,3574.00,3575.00,348,0\r\n2006-01-18,14:29:00,3574.00,3575.00,3574.00,3575.00,390,0\r\n2006-01-18,14:30:00,3575.00,3575.00,3574.00,3575.00,139,0\r\n2006-01-18,14:31:00,3574.00,3577.00,3574.00,3576.00,3367,0\r\n2006-01-18,14:32:00,3577.00,3578.00,3576.00,3578.00,2425,0\r\n2006-01-18,14:33:00,3577.00,3577.00,3574.00,3575.00,1340,0\r\n2006-01-18,14:34:00,3575.00,3576.00,3575.00,3575.00,699,0\r\n2006-01-18,14:35:00,3575.00,3575.00,3574.00,3575.00,135,0\r\n2006-01-18,14:36:00,3574.00,3575.00,3573.00,3573.00,263,0\r\n2006-01-18,14:37:00,3573.00,3574.00,3573.00,3574.00,532,0\r\n2006-01-18,14:38:00,3574.00,3575.00,3574.00,3574.00,1051,0\r\n2006-01-18,14:39:00,3574.00,3574.00,3573.00,3574.00,219,0\r\n2006-01-18,14:40:00,3573.00,3574.00,3573.00,3574.00,859,0\r\n2006-01-18,14:41:00,3574.00,3575.00,3574.00,3575.00,193,0\r\n2006-01-18,14:42:00,3575.00,3575.00,3575.00,3575.00,191,0\r\n2006-01-18,14:43:00,3574.00,3575.00,3574.00,3575.00,464,0\r\n2006-01-18,14:44:00,3575.00,3576.00,3575.00,3576.00,402,0\r\n2006-01-18,14:45:00,3576.00,3576.00,3575.00,3575.00,61,0\r\n2006-01-18,14:46:00,3575.00,3576.00,3575.00,3575.00,763,0\r\n2006-01-18,14:47:00,3575.00,3575.00,3575.00,3575.00,145,0\r\n2006-01-18,14:48:00,3575.00,3575.00,3574.00,3574.00,143,0\r\n2006-01-18,14:49:00,3575.00,3576.00,3575.00,3575.00,719,0\r\n2006-01-18,14:50:00,3575.00,3575.00,3574.00,3575.00,1506,0\r\n2006-01-18,14:51:00,3575.00,3576.00,3575.00,3576.00,565,0\r\n2006-01-18,14:52:00,3575.00,3576.00,3575.00,3575.00,242,0\r\n2006-01-18,14:53:00,3575.00,3576.00,3574.00,3574.00,262,0\r\n2006-01-18,14:54:00,3575.00,3576.00,3575.00,3575.00,577,0\r\n2006-01-18,14:55:00,3575.00,3576.00,3575.00,3576.00,359,0\r\n2006-01-18,14:56:00,3576.00,3577.00,3576.00,3577.00,489,0\r\n2006-01-18,14:57:00,3576.00,3577.00,3576.00,3576.00,316,0\r\n2006-01-18,14:58:00,3576.00,3577.00,3576.00,3577.00,247,0\r\n2006-01-18,14:59:00,3577.00,3579.00,3576.00,3578.00,1586,0\r\n2006-01-18,15:00:00,3578.00,3580.00,3578.00,3580.00,1692,0\r\n2006-01-18,15:01:00,3579.00,3581.00,3579.00,3580.00,2301,0\r\n2006-01-18,15:02:00,3580.00,3580.00,3579.00,3579.00,852,0\r\n2006-01-18,15:03:00,3579.00,3580.00,3578.00,3579.00,1700,0\r\n2006-01-18,15:04:00,3579.00,3581.00,3579.00,3579.00,1672,0\r\n2006-01-18,15:05:00,3580.00,3580.00,3579.00,3579.00,1126,0\r\n2006-01-18,15:06:00,3580.00,3582.00,3580.00,3581.00,2435,0\r\n2006-01-18,15:07:00,3581.00,3581.00,3580.00,3581.00,650,0\r\n2006-01-18,15:08:00,3580.00,3581.00,3580.00,3580.00,639,0\r\n2006-01-18,15:09:00,3581.00,3582.00,3581.00,3582.00,1503,0\r\n2006-01-18,15:10:00,3581.00,3584.00,3581.00,3584.00,5650,0\r\n2006-01-18,15:11:00,3584.00,3586.00,3584.00,3585.00,6444,0\r\n2006-01-18,15:12:00,3584.00,3585.00,3584.00,3585.00,1047,0\r\n2006-01-18,15:13:00,3584.00,3585.00,3584.00,3584.00,2586,0\r\n2006-01-18,15:14:00,3585.00,3585.00,3584.00,3584.00,1676,0\r\n2006-01-18,15:15:00,3584.00,3585.00,3583.00,3584.00,242,0\r\n2006-01-18,15:16:00,3583.00,3584.00,3583.00,3584.00,72,0\r\n2006-01-18,15:17:00,3583.00,3584.00,3582.00,3583.00,988,0\r\n2006-01-18,15:18:00,3583.00,3583.00,3582.00,3583.00,1208,0\r\n2006-01-18,15:19:00,3583.00,3584.00,3583.00,3583.00,1251,0\r\n2006-01-18,15:20:00,3582.00,3583.00,3582.00,3582.00,660,0\r\n2006-01-18,15:21:00,3582.00,3583.00,3582.00,3583.00,261,0\r\n2006-01-18,15:22:00,3583.00,3583.00,3582.00,3583.00,699,0\r\n2006-01-18,15:23:00,3582.00,3583.00,3582.00,3583.00,162,0\r\n2006-01-18,15:24:00,3582.00,3583.00,3582.00,3583.00,314,0\r\n2006-01-18,15:25:00,3583.00,3583.00,3582.00,3583.00,133,0\r\n2006-01-18,15:26:00,3583.00,3584.00,3582.00,3583.00,393,0\r\n2006-01-18,15:27:00,3583.00,3583.00,3582.00,3583.00,485,0\r\n2006-01-18,15:28:00,3583.00,3583.00,3582.00,3582.00,266,0\r\n2006-01-18,15:29:00,3582.00,3583.00,3582.00,3582.00,86,0\r\n2006-01-18,15:30:00,3582.00,3583.00,3581.00,3581.00,2635,0\r\n2006-01-18,15:31:00,3581.00,3582.00,3580.00,3581.00,1505,0\r\n2006-01-18,15:32:00,3581.00,3582.00,3581.00,3581.00,1326,0\r\n2006-01-18,15:33:00,3582.00,3582.00,3581.00,3582.00,1416,0\r\n2006-01-18,15:34:00,3581.00,3582.00,3581.00,3581.00,207,0\r\n2006-01-18,15:35:00,3582.00,3582.00,3580.00,3580.00,840,0\r\n2006-01-18,15:36:00,3580.00,3581.00,3579.00,3580.00,2503,0\r\n2006-01-18,15:37:00,3580.00,3581.00,3580.00,3580.00,1126,0\r\n2006-01-18,15:38:00,3579.00,3580.00,3579.00,3579.00,2224,0\r\n2006-01-18,15:39:00,3578.00,3578.00,3577.00,3578.00,2690,0\r\n2006-01-18,15:40:00,3578.00,3579.00,3577.00,3579.00,2534,0\r\n2006-01-18,15:41:00,3578.00,3579.00,3577.00,3578.00,2272,0\r\n2006-01-18,15:42:00,3578.00,3578.00,3577.00,3578.00,1510,0\r\n2006-01-18,15:43:00,3578.00,3580.00,3578.00,3579.00,1658,0\r\n2006-01-18,15:44:00,3580.00,3582.00,3580.00,3582.00,2218,0\r\n2006-01-18,15:45:00,3581.00,3587.00,3581.00,3587.00,6538,0\r\n2006-01-18,15:46:00,3587.00,3588.00,3586.00,3587.00,6401,0\r\n2006-01-18,15:47:00,3587.00,3587.00,3585.00,3587.00,1727,0\r\n2006-01-18,15:48:00,3587.00,3589.00,3586.00,3587.00,3139,0\r\n2006-01-18,15:49:00,3588.00,3589.00,3586.00,3586.00,2925,0\r\n2006-01-18,15:50:00,3587.00,3587.00,3585.00,3586.00,1948,0\r\n2006-01-18,15:51:00,3585.00,3587.00,3585.00,3587.00,2013,0\r\n2006-01-18,15:52:00,3586.00,3587.00,3586.00,3587.00,1351,0\r\n2006-01-18,15:53:00,3587.00,3588.00,3585.00,3585.00,1566,0\r\n2006-01-18,15:54:00,3585.00,3587.00,3585.00,3586.00,1226,0\r\n2006-01-18,15:55:00,3585.00,3586.00,3584.00,3584.00,1003,0\r\n2006-01-18,15:56:00,3584.00,3585.00,3584.00,3584.00,1466,0\r\n2006-01-18,15:57:00,3584.00,3585.00,3583.00,3584.00,1442,0\r\n2006-01-18,15:58:00,3584.00,3584.00,3583.00,3583.00,1596,0\r\n2006-01-18,15:59:00,3583.00,3584.00,3582.00,3582.00,1780,0\r\n2006-01-18,16:00:00,3582.00,3584.00,3582.00,3584.00,1937,0\r\n2006-01-18,16:01:00,3583.00,3584.00,3581.00,3582.00,6629,0\r\n2006-01-18,16:02:00,3582.00,3583.00,3581.00,3583.00,1296,0\r\n2006-01-18,16:03:00,3582.00,3583.00,3582.00,3583.00,2015,0\r\n2006-01-18,16:04:00,3583.00,3584.00,3582.00,3583.00,2082,0\r\n2006-01-18,16:05:00,3584.00,3585.00,3583.00,3585.00,1439,0\r\n2006-01-18,16:06:00,3585.00,3587.00,3584.00,3587.00,3687,0\r\n2006-01-18,16:07:00,3587.00,3589.00,3587.00,3589.00,2906,0\r\n2006-01-18,16:08:00,3589.00,3590.00,3588.00,3588.00,2886,0\r\n2006-01-18,16:09:00,3589.00,3590.00,3588.00,3590.00,3201,0\r\n2006-01-18,16:10:00,3589.00,3589.00,3588.00,3588.00,1635,0\r\n2006-01-18,16:11:00,3589.00,3589.00,3588.00,3588.00,604,0\r\n2006-01-18,16:12:00,3589.00,3589.00,3587.00,3587.00,1837,0\r\n2006-01-18,16:13:00,3588.00,3590.00,3587.00,3589.00,3301,0\r\n2006-01-18,16:14:00,3588.00,3590.00,3588.00,3589.00,1506,0\r\n2006-01-18,16:15:00,3589.00,3590.00,3589.00,3590.00,1988,0\r\n2006-01-18,16:16:00,3590.00,3591.00,3589.00,3590.00,2698,0\r\n2006-01-18,16:17:00,3589.00,3591.00,3588.00,3591.00,2992,0\r\n2006-01-18,16:18:00,3591.00,3593.00,3591.00,3592.00,3370,0\r\n2006-01-18,16:19:00,3592.00,3594.00,3591.00,3593.00,4146,0\r\n2006-01-18,16:20:00,3593.00,3593.00,3591.00,3592.00,2058,0\r\n2006-01-18,16:21:00,3591.00,3592.00,3591.00,3592.00,1616,0\r\n2006-01-18,16:22:00,3592.00,3593.00,3591.00,3593.00,2783,0\r\n2006-01-18,16:23:00,3593.00,3598.00,3593.00,3598.00,6806,0\r\n2006-01-18,16:24:00,3597.00,3598.00,3596.00,3597.00,3855,0\r\n2006-01-18,16:25:00,3597.00,3598.00,3596.00,3597.00,951,0\r\n2006-01-18,16:26:00,3597.00,3598.00,3596.00,3597.00,2829,0\r\n2006-01-18,16:27:00,3597.00,3597.00,3596.00,3596.00,1156,0\r\n2006-01-18,16:28:00,3597.00,3597.00,3595.00,3595.00,3325,0\r\n2006-01-18,16:29:00,3595.00,3596.00,3594.00,3594.00,2344,0\r\n2006-01-18,16:30:00,3595.00,3595.00,3594.00,3595.00,774,0\r\n2006-01-18,16:31:00,3594.00,3595.00,3593.00,3593.00,1133,0\r\n2006-01-18,16:32:00,3594.00,3594.00,3593.00,3593.00,563,0\r\n2006-01-18,16:33:00,3593.00,3594.00,3593.00,3594.00,576,0\r\n2006-01-18,16:34:00,3593.00,3594.00,3592.00,3594.00,4558,0\r\n2006-01-18,16:35:00,3593.00,3595.00,3593.00,3593.00,2453,0\r\n2006-01-18,16:36:00,3593.00,3593.00,3592.00,3592.00,1670,0\r\n2006-01-18,16:37:00,3592.00,3593.00,3592.00,3593.00,857,0\r\n2006-01-18,16:38:00,3593.00,3593.00,3591.00,3592.00,1148,0\r\n2006-01-18,16:39:00,3592.00,3592.00,3590.00,3591.00,2302,0\r\n2006-01-18,16:40:00,3591.00,3591.00,3589.00,3589.00,1846,0\r\n2006-01-18,16:41:00,3589.00,3591.00,3589.00,3590.00,2283,0\r\n2006-01-18,16:42:00,3590.00,3592.00,3590.00,3591.00,3334,0\r\n2006-01-18,16:43:00,3591.00,3592.00,3591.00,3592.00,226,0\r\n2006-01-18,16:44:00,3592.00,3593.00,3591.00,3592.00,946,0\r\n2006-01-18,16:45:00,3593.00,3593.00,3592.00,3592.00,1536,0\r\n2006-01-18,16:46:00,3593.00,3593.00,3592.00,3593.00,578,0\r\n2006-01-18,16:47:00,3594.00,3594.00,3593.00,3593.00,832,0\r\n2006-01-18,16:48:00,3593.00,3593.00,3590.00,3591.00,1816,0\r\n2006-01-18,16:49:00,3590.00,3592.00,3590.00,3591.00,1350,0\r\n2006-01-18,16:50:00,3591.00,3591.00,3589.00,3589.00,1270,0\r\n2006-01-18,16:51:00,3589.00,3590.00,3588.00,3589.00,2268,0\r\n2006-01-18,16:52:00,3589.00,3591.00,3589.00,3590.00,1783,0\r\n2006-01-18,16:53:00,3589.00,3590.00,3588.00,3590.00,949,0\r\n2006-01-18,16:54:00,3590.00,3590.00,3589.00,3589.00,502,0\r\n2006-01-18,16:55:00,3589.00,3591.00,3589.00,3590.00,4043,0\r\n2006-01-18,16:56:00,3591.00,3591.00,3589.00,3589.00,1413,0\r\n2006-01-18,16:57:00,3590.00,3591.00,3589.00,3590.00,1302,0\r\n2006-01-18,16:58:00,3590.00,3591.00,3589.00,3589.00,432,0\r\n2006-01-18,16:59:00,3590.00,3590.00,3588.00,3588.00,2938,0\r\n2006-01-18,17:00:00,3589.00,3589.00,3587.00,3588.00,1426,0\r\n2006-01-18,17:01:00,3587.00,3589.00,3587.00,3588.00,1930,0\r\n2006-01-18,17:02:00,3588.00,3589.00,3588.00,3589.00,1391,0\r\n2006-01-18,17:03:00,3589.00,3589.00,3588.00,3589.00,1869,0\r\n2006-01-18,17:04:00,3589.00,3590.00,3589.00,3590.00,625,0\r\n2006-01-18,17:05:00,3589.00,3590.00,3588.00,3589.00,1855,0\r\n2006-01-18,17:06:00,3589.00,3590.00,3589.00,3589.00,2095,0\r\n2006-01-18,17:07:00,3589.00,3589.00,3588.00,3588.00,1434,0\r\n2006-01-18,17:08:00,3588.00,3588.00,3588.00,3588.00,1010,0\r\n2006-01-18,17:09:00,3588.00,3588.00,3587.00,3588.00,714,0\r\n2006-01-18,17:10:00,3588.00,3588.00,3586.00,3586.00,1867,0\r\n2006-01-18,17:11:00,3587.00,3588.00,3586.00,3588.00,1375,0\r\n2006-01-18,17:12:00,3587.00,3588.00,3587.00,3588.00,2131,0\r\n2006-01-18,17:13:00,3588.00,3588.00,3587.00,3587.00,805,0\r\n2006-01-18,17:14:00,3587.00,3588.00,3587.00,3588.00,742,0\r\n2006-01-18,17:15:00,3588.00,3589.00,3588.00,3589.00,1501,0\r\n2006-01-18,17:16:00,3588.00,3589.00,3587.00,3587.00,663,0\r\n2006-01-18,17:17:00,3587.00,3588.00,3587.00,3587.00,60,0\r\n2006-01-18,17:18:00,3587.00,3588.00,3586.00,3586.00,1594,0\r\n2006-01-18,17:19:00,3586.00,3586.00,3585.00,3585.00,1577,0\r\n2006-01-18,17:20:00,3586.00,3586.00,3585.00,3586.00,894,0\r\n2006-01-18,17:21:00,3585.00,3586.00,3585.00,3586.00,254,0\r\n2006-01-18,17:22:00,3585.00,3587.00,3585.00,3587.00,1166,0\r\n2006-01-18,17:23:00,3587.00,3588.00,3586.00,3587.00,1077,0\r\n2006-01-18,17:24:00,3588.00,3589.00,3587.00,3588.00,1703,0\r\n2006-01-18,17:25:00,3588.00,3588.00,3588.00,3588.00,693,0\r\n2006-01-18,17:26:00,3587.00,3588.00,3587.00,3588.00,1361,0\r\n2006-01-18,17:27:00,3587.00,3588.00,3587.00,3587.00,769,0\r\n2006-01-18,17:28:00,3587.00,3587.00,3586.00,3586.00,519,0\r\n2006-01-18,17:29:00,3586.00,3586.00,3585.00,3585.00,1558,0\r\n2006-01-18,17:30:00,3585.00,3585.00,3581.00,3582.00,6565,0\r\n2006-01-18,17:31:00,3582.00,3583.00,3580.00,3580.00,5445,0\r\n2006-01-18,17:32:00,3581.00,3581.00,3580.00,3580.00,5278,0\r\n2006-01-18,17:33:00,3581.00,3581.00,3579.00,3580.00,1566,0\r\n2006-01-18,17:34:00,3580.00,3580.00,3578.00,3578.00,2920,0\r\n2006-01-18,17:35:00,3578.00,3578.00,3576.00,3576.00,2641,0\r\n2006-01-18,17:36:00,3577.00,3577.00,3575.00,3576.00,3288,0\r\n2006-01-18,17:37:00,3577.00,3578.00,3576.00,3577.00,2045,0\r\n2006-01-18,17:38:00,3577.00,3578.00,3577.00,3577.00,1850,0\r\n2006-01-18,17:39:00,3577.00,3578.00,3576.00,3577.00,1675,0\r\n2006-01-18,17:40:00,3577.00,3578.00,3577.00,3578.00,1380,0\r\n2006-01-18,17:41:00,3577.00,3577.00,3576.00,3576.00,546,0\r\n2006-01-18,17:42:00,3576.00,3577.00,3573.00,3574.00,2904,0\r\n2006-01-18,17:43:00,3573.00,3574.00,3572.00,3574.00,2326,0\r\n2006-01-18,17:44:00,3573.00,3575.00,3573.00,3575.00,865,0\r\n2006-01-18,17:45:00,3574.00,3575.00,3574.00,3575.00,882,0\r\n2006-01-18,17:46:00,3575.00,3576.00,3575.00,3576.00,1246,0\r\n2006-01-18,17:47:00,3576.00,3577.00,3576.00,3577.00,871,0\r\n2006-01-18,17:48:00,3577.00,3577.00,3575.00,3576.00,766,0\r\n2006-01-18,17:49:00,3576.00,3577.00,3576.00,3576.00,491,0\r\n2006-01-18,17:50:00,3576.00,3577.00,3575.00,3576.00,1125,0\r\n2006-01-18,17:51:00,3576.00,3576.00,3575.00,3575.00,218,0\r\n2006-01-18,17:52:00,3575.00,3575.00,3573.00,3573.00,2889,0\r\n2006-01-18,17:53:00,3573.00,3574.00,3573.00,3573.00,194,0\r\n2006-01-18,17:54:00,3573.00,3574.00,3572.00,3572.00,1378,0\r\n2006-01-18,17:55:00,3573.00,3576.00,3572.00,3575.00,1708,0\r\n2006-01-18,17:56:00,3575.00,3576.00,3575.00,3576.00,197,0\r\n2006-01-18,17:57:00,3576.00,3576.00,3574.00,3575.00,594,0\r\n2006-01-18,17:58:00,3574.00,3575.00,3573.00,3574.00,931,0\r\n2006-01-18,17:59:00,3574.00,3574.00,3573.00,3574.00,257,0\r\n2006-01-18,18:00:00,3574.00,3576.00,3574.00,3575.00,995,0\r\n2006-01-18,18:01:00,3575.00,3576.00,3574.00,3576.00,770,0\r\n2006-01-18,18:02:00,3576.00,3577.00,3576.00,3577.00,813,0\r\n2006-01-18,18:03:00,3577.00,3577.00,3575.00,3575.00,742,0\r\n2006-01-18,18:04:00,3574.00,3576.00,3574.00,3576.00,341,0\r\n2006-01-18,18:05:00,3575.00,3575.00,3573.00,3574.00,1145,0\r\n2006-01-18,18:06:00,3573.00,3574.00,3572.00,3574.00,3814,0\r\n2006-01-18,18:07:00,3573.00,3575.00,3573.00,3575.00,926,0\r\n2006-01-18,18:08:00,3574.00,3574.00,3573.00,3573.00,270,0\r\n2006-01-18,18:09:00,3574.00,3574.00,3574.00,3574.00,465,0\r\n2006-01-18,18:10:00,3575.00,3576.00,3575.00,3575.00,339,0\r\n2006-01-18,18:11:00,3576.00,3577.00,3576.00,3576.00,530,0\r\n2006-01-18,18:12:00,3576.00,3576.00,3573.00,3573.00,374,0\r\n2006-01-18,18:13:00,3574.00,3575.00,3573.00,3573.00,187,0\r\n2006-01-18,18:14:00,3574.00,3574.00,3573.00,3574.00,188,0\r\n2006-01-18,18:15:00,3575.00,3575.00,3575.00,3575.00,56,0\r\n2006-01-18,18:16:00,3574.00,3574.00,3572.00,3573.00,563,0\r\n2006-01-18,18:17:00,3572.00,3573.00,3572.00,3573.00,323,0\r\n2006-01-18,18:18:00,3573.00,3573.00,3572.00,3573.00,227,0\r\n2006-01-18,18:19:00,3573.00,3573.00,3573.00,3573.00,336,0\r\n2006-01-18,18:20:00,3574.00,3574.00,3574.00,3574.00,417,0\r\n2006-01-18,18:21:00,3575.00,3575.00,3574.00,3575.00,236,0\r\n2006-01-18,18:22:00,3574.00,3574.00,3573.00,3573.00,415,0\r\n2006-01-18,18:23:00,3573.00,3573.00,3572.00,3572.00,268,0\r\n2006-01-18,18:24:00,3572.00,3573.00,3571.00,3573.00,377,0\r\n2006-01-18,18:25:00,3574.00,3574.00,3572.00,3572.00,659,0\r\n2006-01-18,18:26:00,3572.00,3572.00,3571.00,3572.00,382,0\r\n2006-01-18,18:27:00,3572.00,3572.00,3571.00,3572.00,157,0\r\n2006-01-18,18:28:00,3571.00,3573.00,3571.00,3573.00,390,0\r\n2006-01-18,18:29:00,3574.00,3574.00,3573.00,3574.00,268,0\r\n2006-01-18,18:30:00,3574.00,3574.00,3572.00,3572.00,381,0\r\n2006-01-18,18:31:00,3572.00,3573.00,3572.00,3572.00,233,0\r\n2006-01-18,18:32:00,3572.00,3572.00,3572.00,3572.00,66,0\r\n2006-01-18,18:33:00,3572.00,3572.00,3572.00,3572.00,237,0\r\n2006-01-18,18:34:00,3573.00,3575.00,3573.00,3575.00,1269,0\r\n2006-01-18,18:35:00,3575.00,3576.00,3575.00,3575.00,712,0\r\n2006-01-18,18:36:00,3575.00,3575.00,3575.00,3575.00,279,0\r\n2006-01-18,18:37:00,3575.00,3577.00,3575.00,3575.00,360,0\r\n2006-01-18,18:38:00,3575.00,3578.00,3574.00,3578.00,1086,0\r\n2006-01-18,18:39:00,3577.00,3578.00,3577.00,3578.00,299,0\r\n2006-01-18,18:40:00,3578.00,3579.00,3578.00,3578.00,549,0\r\n2006-01-18,18:41:00,3579.00,3579.00,3577.00,3577.00,520,0\r\n2006-01-18,18:42:00,3577.00,3577.00,3576.00,3576.00,357,0\r\n2006-01-18,18:43:00,3577.00,3577.00,3577.00,3577.00,103,0\r\n2006-01-18,18:44:00,3578.00,3578.00,3577.00,3578.00,167,0\r\n2006-01-18,18:45:00,3578.00,3579.00,3578.00,3579.00,298,0\r\n2006-01-18,18:46:00,3579.00,3579.00,3578.00,3579.00,338,0\r\n2006-01-18,18:47:00,3579.00,3579.00,3578.00,3578.00,101,0\r\n2006-01-18,18:48:00,3578.00,3579.00,3578.00,3579.00,114,0\r\n2006-01-18,18:49:00,3579.00,3579.00,3578.00,3578.00,22,0\r\n2006-01-18,18:50:00,3578.00,3578.00,3577.00,3578.00,424,0\r\n2006-01-18,18:51:00,3577.00,3577.00,3576.00,3576.00,607,0\r\n2006-01-18,18:52:00,3575.00,3575.00,3574.00,3575.00,548,0\r\n2006-01-18,18:53:00,3575.00,3575.00,3575.00,3575.00,158,0\r\n2006-01-18,18:54:00,3574.00,3574.00,3574.00,3574.00,382,0\r\n2006-01-18,18:55:00,3574.00,3574.00,3573.00,3574.00,222,0\r\n2006-01-18,18:56:00,3574.00,3574.00,3573.00,3574.00,341,0\r\n2006-01-18,18:57:00,3574.00,3575.00,3574.00,3575.00,273,0\r\n2006-01-18,18:58:00,3574.00,3574.00,3574.00,3574.00,544,0\r\n2006-01-18,18:59:00,3574.00,3575.00,3574.00,3574.00,308,0\r\n2006-01-18,19:00:00,3574.00,3575.00,3573.00,3575.00,227,0\r\n2006-01-18,19:01:00,3574.00,3575.00,3573.00,3574.00,458,0\r\n2006-01-18,19:02:00,3574.00,3575.00,3574.00,3574.00,194,0\r\n2006-01-18,19:03:00,3573.00,3575.00,3573.00,3574.00,150,0\r\n2006-01-18,19:04:00,3574.00,3575.00,3574.00,3575.00,301,0\r\n2006-01-18,19:05:00,3575.00,3576.00,3575.00,3575.00,352,0\r\n2006-01-18,19:06:00,3575.00,3576.00,3575.00,3575.00,128,0\r\n2006-01-18,19:07:00,3575.00,3576.00,3575.00,3576.00,191,0\r\n2006-01-18,19:08:00,3576.00,3576.00,3575.00,3575.00,22,0\r\n2006-01-18,19:09:00,3575.00,3575.00,3575.00,3575.00,152,0\r\n2006-01-18,19:10:00,3574.00,3575.00,3574.00,3574.00,123,0\r\n2006-01-18,19:11:00,3574.00,3574.00,3574.00,3574.00,30,0\r\n2006-01-18,19:12:00,3573.00,3573.00,3573.00,3573.00,150,0\r\n2006-01-18,19:13:00,3574.00,3574.00,3574.00,3574.00,79,0\r\n2006-01-18,19:14:00,3574.00,3574.00,3573.00,3574.00,65,0\r\n2006-01-18,19:15:00,3574.00,3575.00,3574.00,3575.00,268,0\r\n2006-01-18,19:16:00,3575.00,3576.00,3574.00,3576.00,140,0\r\n2006-01-18,19:17:00,3576.00,3576.00,3575.00,3575.00,25,0\r\n2006-01-18,19:18:00,3575.00,3575.00,3575.00,3575.00,79,0\r\n2006-01-18,19:19:00,3575.00,3575.00,3575.00,3575.00,34,0\r\n2006-01-18,19:20:00,3576.00,3576.00,3573.00,3573.00,336,0\r\n2006-01-18,19:21:00,3572.00,3573.00,3572.00,3572.00,290,0\r\n2006-01-18,19:22:00,3573.00,3573.00,3572.00,3572.00,122,0\r\n2006-01-18,19:23:00,3572.00,3573.00,3571.00,3573.00,452,0\r\n2006-01-18,19:24:00,3573.00,3573.00,3571.00,3571.00,656,0\r\n2006-01-18,19:25:00,3572.00,3572.00,3572.00,3572.00,177,0\r\n2006-01-18,19:26:00,3573.00,3573.00,3570.00,3570.00,661,0\r\n2006-01-18,19:27:00,3571.00,3572.00,3571.00,3571.00,206,0\r\n2006-01-18,19:28:00,3571.00,3571.00,3569.00,3570.00,495,0\r\n2006-01-18,19:29:00,3571.00,3571.00,3569.00,3570.00,123,0\r\n2006-01-18,19:30:00,3570.00,3570.00,3568.00,3568.00,778,0\r\n2006-01-18,19:31:00,3568.00,3568.00,3567.00,3568.00,627,0\r\n2006-01-18,19:32:00,3568.00,3568.00,3567.00,3568.00,401,0\r\n2006-01-18,19:33:00,3568.00,3568.00,3567.00,3567.00,520,0\r\n2006-01-18,19:34:00,3567.00,3568.00,3566.00,3567.00,464,0\r\n2006-01-18,19:35:00,3567.00,3568.00,3567.00,3568.00,156,0\r\n2006-01-18,19:36:00,3567.00,3567.00,3567.00,3567.00,605,0\r\n2006-01-18,19:37:00,3568.00,3568.00,3567.00,3567.00,424,0\r\n2006-01-18,19:38:00,3568.00,3568.00,3567.00,3568.00,399,0\r\n2006-01-18,19:39:00,3568.00,3568.00,3567.00,3568.00,214,0\r\n2006-01-18,19:40:00,3568.00,3569.00,3568.00,3568.00,296,0\r\n2006-01-18,19:41:00,3569.00,3569.00,3568.00,3568.00,5,0\r\n2006-01-18,19:42:00,3567.00,3568.00,3566.00,3566.00,549,0\r\n2006-01-18,19:43:00,3566.00,3567.00,3566.00,3567.00,283,0\r\n2006-01-18,19:44:00,3567.00,3567.00,3566.00,3567.00,149,0\r\n2006-01-18,19:45:00,3567.00,3569.00,3566.00,3569.00,987,0\r\n2006-01-18,19:46:00,3570.00,3570.00,3569.00,3569.00,56,0\r\n2006-01-18,19:47:00,3569.00,3570.00,3569.00,3570.00,16,0\r\n2006-01-18,19:48:00,3570.00,3571.00,3570.00,3570.00,266,0\r\n2006-01-18,19:49:00,3570.00,3570.00,3569.00,3569.00,113,0\r\n2006-01-18,19:50:00,3569.00,3569.00,3568.00,3568.00,8,0\r\n2006-01-18,19:51:00,3568.00,3568.00,3567.00,3567.00,333,0\r\n2006-01-18,19:52:00,3568.00,3570.00,3568.00,3570.00,575,0\r\n2006-01-18,19:53:00,3570.00,3570.00,3569.00,3570.00,139,0\r\n2006-01-18,19:54:00,3569.00,3570.00,3569.00,3569.00,32,0\r\n2006-01-18,19:55:00,3570.00,3571.00,3570.00,3570.00,205,0\r\n2006-01-18,19:56:00,3571.00,3571.00,3569.00,3569.00,116,0\r\n2006-01-18,19:57:00,3570.00,3571.00,3570.00,3570.00,279,0\r\n2006-01-18,19:58:00,3571.00,3572.00,3571.00,3572.00,264,0\r\n2006-01-18,19:59:00,3572.00,3572.00,3570.00,3570.00,134,0\r\n2006-01-18,20:00:00,3570.00,3570.00,3570.00,3570.00,59,0\r\n2006-01-18,20:01:00,3570.00,3571.00,3570.00,3570.00,164,0\r\n2006-01-18,20:02:00,3570.00,3572.00,3570.00,3572.00,414,0\r\n2006-01-18,20:03:00,3571.00,3573.00,3571.00,3573.00,113,0\r\n2006-01-18,20:04:00,3573.00,3574.00,3572.00,3573.00,148,0\r\n2006-01-18,20:05:00,3574.00,3576.00,3574.00,3576.00,481,0\r\n2006-01-18,20:06:00,3576.00,3576.00,3574.00,3576.00,422,0\r\n2006-01-18,20:07:00,3577.00,3578.00,3577.00,3577.00,207,0\r\n2006-01-18,20:08:00,3576.00,3577.00,3576.00,3576.00,218,0\r\n2006-01-18,20:09:00,3575.00,3576.00,3575.00,3576.00,29,0\r\n2006-01-18,20:10:00,3575.00,3575.00,3574.00,3574.00,253,0\r\n2006-01-18,20:11:00,3574.00,3574.00,3574.00,3574.00,10,0\r\n2006-01-18,20:12:00,3574.00,3576.00,3574.00,3575.00,250,0\r\n2006-01-18,20:13:00,3575.00,3575.00,3574.00,3574.00,5,0\r\n2006-01-18,20:14:00,3575.00,3575.00,3575.00,3575.00,5,0\r\n2006-01-18,20:15:00,3574.00,3574.00,3574.00,3574.00,50,0\r\n2006-01-18,20:16:00,3574.00,3576.00,3574.00,3576.00,86,0\r\n2006-01-18,20:17:00,3576.00,3577.00,3576.00,3577.00,66,0\r\n2006-01-18,20:18:00,3577.00,3579.00,3577.00,3579.00,611,0\r\n2006-01-18,20:19:00,3579.00,3579.00,3578.00,3579.00,380,0\r\n2006-01-18,20:20:00,3579.00,3580.00,3579.00,3580.00,221,0\r\n2006-01-18,20:21:00,3580.00,3580.00,3578.00,3578.00,165,0\r\n2006-01-18,20:22:00,3579.00,3580.00,3579.00,3580.00,101,0\r\n2006-01-18,20:23:00,3579.00,3579.00,3578.00,3578.00,12,0\r\n2006-01-18,20:24:00,3579.00,3579.00,3578.00,3578.00,67,0\r\n2006-01-18,20:25:00,3579.00,3579.00,3578.00,3579.00,231,0\r\n2006-01-18,20:26:00,3580.00,3580.00,3580.00,3580.00,150,0\r\n2006-01-18,20:27:00,3579.00,3580.00,3579.00,3579.00,281,0\r\n2006-01-18,20:28:00,3579.00,3581.00,3579.00,3580.00,753,0\r\n2006-01-18,20:29:00,3580.00,3580.00,3579.00,3580.00,61,0\r\n2006-01-18,20:30:00,3580.00,3580.00,3578.00,3578.00,59,0\r\n2006-01-18,20:31:00,3579.00,3581.00,3579.00,3580.00,88,0\r\n2006-01-18,20:32:00,3580.00,3582.00,3580.00,3581.00,222,0\r\n2006-01-18,20:33:00,3582.00,3583.00,3581.00,3582.00,1038,0\r\n2006-01-18,20:34:00,3582.00,3582.00,3580.00,3580.00,160,0\r\n2006-01-18,20:35:00,3581.00,3582.00,3580.00,3582.00,208,0\r\n2006-01-18,20:36:00,3583.00,3583.00,3582.00,3582.00,377,0\r\n2006-01-18,20:37:00,3581.00,3581.00,3580.00,3581.00,120,0\r\n2006-01-18,20:38:00,3581.00,3581.00,3579.00,3580.00,204,0\r\n2006-01-18,20:39:00,3580.00,3580.00,3579.00,3579.00,95,0\r\n2006-01-18,20:40:00,3579.00,3580.00,3579.00,3580.00,203,0\r\n2006-01-18,20:41:00,3580.00,3580.00,3578.00,3579.00,128,0\r\n2006-01-18,20:42:00,3578.00,3578.00,3578.00,3578.00,100,0\r\n2006-01-18,20:43:00,3578.00,3579.00,3578.00,3579.00,26,0\r\n2006-01-18,20:44:00,3578.00,3578.00,3576.00,3576.00,116,0\r\n2006-01-18,20:45:00,3576.00,3576.00,3576.00,3576.00,124,0\r\n2006-01-18,20:46:00,3575.00,3576.00,3574.00,3576.00,243,0\r\n2006-01-18,20:47:00,3576.00,3576.00,3575.00,3575.00,9,0\r\n2006-01-18,20:48:00,3576.00,3576.00,3576.00,3576.00,36,0\r\n2006-01-18,20:49:00,3576.00,3577.00,3576.00,3577.00,12,0\r\n2006-01-18,20:50:00,3577.00,3577.00,3577.00,3577.00,20,0\r\n2006-01-18,20:51:00,3576.00,3576.00,3573.00,3573.00,264,0\r\n2006-01-18,20:52:00,3573.00,3575.00,3571.00,3573.00,248,0\r\n2006-01-18,20:53:00,3573.00,3575.00,3573.00,3575.00,358,0\r\n2006-01-18,20:54:00,3576.00,3576.00,3575.00,3576.00,175,0\r\n2006-01-18,20:55:00,3576.00,3576.00,3575.00,3576.00,162,0\r\n2006-01-18,20:56:00,3576.00,3577.00,3575.00,3575.00,49,0\r\n2006-01-18,20:57:00,3575.00,3576.00,3575.00,3575.00,192,0\r\n2006-01-18,20:58:00,3574.00,3576.00,3574.00,3576.00,167,0\r\n2006-01-18,20:59:00,3577.00,3577.00,3576.00,3576.00,116,0\r\n2006-01-18,21:00:00,3576.00,3577.00,3575.00,3576.00,82,0\r\n2006-01-18,21:01:00,3577.00,3578.00,3577.00,3578.00,111,0\r\n2006-01-18,21:02:00,3577.00,3577.00,3577.00,3577.00,84,0\r\n2006-01-18,21:03:00,3576.00,3578.00,3576.00,3576.00,127,0\r\n2006-01-18,21:04:00,3575.00,3576.00,3575.00,3576.00,131,0\r\n2006-01-18,21:05:00,3576.00,3576.00,3576.00,3576.00,60,0\r\n2006-01-18,21:06:00,3576.00,3576.00,3574.00,3574.00,237,0\r\n2006-01-18,21:07:00,3575.00,3575.00,3575.00,3575.00,100,0\r\n2006-01-18,21:08:00,3575.00,3575.00,3575.00,3575.00,43,0\r\n2006-01-18,21:09:00,3575.00,3575.00,3575.00,3575.00,160,0\r\n2006-01-18,21:10:00,3576.00,3579.00,3576.00,3578.00,141,0\r\n2006-01-18,21:11:00,3579.00,3579.00,3578.00,3578.00,12,0\r\n2006-01-18,21:12:00,3578.00,3578.00,3578.00,3578.00,58,0\r\n2006-01-18,21:13:00,3578.00,3578.00,3578.00,3578.00,13,0\r\n2006-01-18,21:14:00,3579.00,3580.00,3579.00,3579.00,52,0\r\n2006-01-18,21:15:00,3579.00,3580.00,3579.00,3579.00,89,0\r\n2006-01-18,21:16:00,3578.00,3579.00,3578.00,3579.00,9,0\r\n2006-01-18,21:17:00,3579.00,3579.00,3579.00,3579.00,34,0\r\n2006-01-18,21:18:00,3578.00,3578.00,3577.00,3577.00,24,0\r\n2006-01-18,21:19:00,3577.00,3577.00,3577.00,3577.00,61,0\r\n2006-01-18,21:20:00,3577.00,3579.00,3577.00,3579.00,20,0\r\n2006-01-18,21:21:00,3579.00,3579.00,3578.00,3578.00,13,0\r\n2006-01-18,21:22:00,3580.00,3580.00,3579.00,3579.00,22,0\r\n2006-01-18,21:23:00,3579.00,3579.00,3579.00,3579.00,14,0\r\n2006-01-18,21:24:00,3580.00,3580.00,3580.00,3580.00,5,0\r\n2006-01-18,21:25:00,3579.00,3579.00,3579.00,3579.00,42,0\r\n2006-01-18,21:26:00,3579.00,3579.00,3579.00,3579.00,11,0\r\n2006-01-18,21:27:00,3579.00,3579.00,3577.00,3579.00,104,0\r\n2006-01-18,21:28:00,3578.00,3579.00,3578.00,3579.00,8,0\r\n2006-01-18,21:29:00,3579.00,3581.00,3579.00,3580.00,73,0\r\n2006-01-18,21:30:00,3580.00,3581.00,3580.00,3581.00,34,0\r\n2006-01-18,21:31:00,3580.00,3582.00,3580.00,3582.00,115,0\r\n2006-01-18,21:32:00,3582.00,3582.00,3581.00,3582.00,92,0\r\n2006-01-18,21:33:00,3582.00,3583.00,3582.00,3582.00,12,0\r\n2006-01-18,21:34:00,3582.00,3582.00,3579.00,3581.00,82,0\r\n2006-01-18,21:35:00,3581.00,3582.00,3581.00,3582.00,6,0\r\n2006-01-18,21:36:00,3582.00,3582.00,3581.00,3581.00,51,0\r\n2006-01-18,21:37:00,3581.00,3582.00,3581.00,3582.00,20,0\r\n2006-01-18,21:38:00,3582.00,3582.00,3582.00,3582.00,13,0\r\n2006-01-18,21:39:00,3582.00,3582.00,3581.00,3581.00,37,0\r\n2006-01-18,21:40:00,3581.00,3582.00,3581.00,3582.00,89,0\r\n2006-01-18,21:41:00,3580.00,3581.00,3580.00,3581.00,59,0\r\n2006-01-18,21:42:00,3581.00,3581.00,3581.00,3581.00,60,0\r\n2006-01-18,21:43:00,3580.00,3581.00,3580.00,3581.00,51,0\r\n2006-01-18,21:44:00,3581.00,3582.00,3581.00,3581.00,56,0\r\n2006-01-18,21:45:00,3581.00,3582.00,3581.00,3582.00,107,0\r\n2006-01-18,21:46:00,3582.00,3584.00,3582.00,3584.00,847,0\r\n2006-01-18,21:47:00,3584.00,3588.00,3583.00,3586.00,972,0\r\n2006-01-18,21:48:00,3586.00,3586.00,3586.00,3586.00,74,0\r\n2006-01-18,21:49:00,3587.00,3587.00,3584.00,3585.00,98,0\r\n2006-01-18,21:50:00,3585.00,3585.00,3584.00,3585.00,63,0\r\n2006-01-18,21:51:00,3585.00,3586.00,3585.00,3585.00,96,0\r\n2006-01-18,21:52:00,3585.00,3585.00,3584.00,3584.00,3,0\r\n2006-01-18,21:53:00,3584.00,3586.00,3584.00,3586.00,48,0\r\n2006-01-18,21:54:00,3586.00,3586.00,3586.00,3586.00,2,0\r\n2006-01-18,21:55:00,3586.00,3586.00,3585.00,3585.00,35,0\r\n2006-01-18,21:56:00,3585.00,3585.00,3584.00,3584.00,125,0\r\n2006-01-18,21:57:00,3585.00,3585.00,3584.00,3585.00,122,0\r\n2006-01-18,21:58:00,3585.00,3585.00,3583.00,3583.00,71,0\r\n2006-01-18,21:59:00,3584.00,3584.00,3583.00,3584.00,172,0\r\n2006-01-18,22:00:00,3583.00,3584.00,3581.00,3581.00,615,0\r\n2006-01-19,09:01:00,3594.00,3606.00,3594.00,3605.00,15357,0\r\n2006-01-19,09:02:00,3606.00,3607.00,3604.00,3605.00,7751,0\r\n2006-01-19,09:03:00,3606.00,3608.00,3605.00,3607.00,4445,0\r\n2006-01-19,09:04:00,3607.00,3608.00,3605.00,3607.00,3261,0\r\n2006-01-19,09:05:00,3608.00,3608.00,3606.00,3607.00,2937,0\r\n2006-01-19,09:06:00,3607.00,3609.00,3606.00,3606.00,2596,0\r\n2006-01-19,09:07:00,3606.00,3607.00,3605.00,3606.00,3058,0\r\n2006-01-19,09:08:00,3606.00,3607.00,3604.00,3604.00,2117,0\r\n2006-01-19,09:09:00,3605.00,3606.00,3604.00,3606.00,762,0\r\n2006-01-19,09:10:00,3605.00,3608.00,3605.00,3605.00,2883,0\r\n2006-01-19,09:11:00,3606.00,3607.00,3605.00,3606.00,1530,0\r\n2006-01-19,09:12:00,3605.00,3606.00,3603.00,3604.00,2140,0\r\n2006-01-19,09:13:00,3604.00,3604.00,3602.00,3603.00,1597,0\r\n2006-01-19,09:14:00,3603.00,3604.00,3602.00,3602.00,997,0\r\n2006-01-19,09:15:00,3603.00,3603.00,3601.00,3602.00,2065,0\r\n2006-01-19,09:16:00,3602.00,3604.00,3602.00,3603.00,2085,0\r\n2006-01-19,09:17:00,3603.00,3603.00,3601.00,3602.00,1637,0\r\n2006-01-19,09:18:00,3602.00,3603.00,3601.00,3602.00,598,0\r\n2006-01-19,09:19:00,3602.00,3602.00,3601.00,3602.00,1812,0\r\n2006-01-19,09:20:00,3602.00,3604.00,3601.00,3604.00,1459,0\r\n2006-01-19,09:21:00,3603.00,3604.00,3602.00,3604.00,1683,0\r\n2006-01-19,09:22:00,3604.00,3605.00,3601.00,3602.00,4825,0\r\n2006-01-19,09:23:00,3601.00,3602.00,3599.00,3599.00,4249,0\r\n2006-01-19,09:24:00,3599.00,3600.00,3597.00,3598.00,2081,0\r\n2006-01-19,09:25:00,3598.00,3599.00,3597.00,3598.00,2284,0\r\n2006-01-19,09:26:00,3598.00,3598.00,3595.00,3596.00,2851,0\r\n2006-01-19,09:27:00,3597.00,3597.00,3595.00,3597.00,2257,0\r\n2006-01-19,09:28:00,3597.00,3597.00,3595.00,3597.00,1951,0\r\n2006-01-19,09:29:00,3597.00,3598.00,3597.00,3598.00,409,0\r\n2006-01-19,09:30:00,3598.00,3599.00,3597.00,3598.00,1150,0\r\n2006-01-19,09:31:00,3598.00,3599.00,3598.00,3598.00,736,0\r\n2006-01-19,09:32:00,3598.00,3599.00,3598.00,3599.00,1250,0\r\n2006-01-19,09:33:00,3598.00,3599.00,3598.00,3598.00,912,0\r\n2006-01-19,09:34:00,3598.00,3600.00,3598.00,3599.00,1714,0\r\n2006-01-19,09:35:00,3599.00,3600.00,3599.00,3600.00,425,0\r\n2006-01-19,09:36:00,3599.00,3601.00,3599.00,3600.00,1692,0\r\n2006-01-19,09:37:00,3600.00,3601.00,3599.00,3600.00,252,0\r\n2006-01-19,09:38:00,3600.00,3600.00,3600.00,3600.00,653,0\r\n2006-01-19,09:39:00,3600.00,3602.00,3600.00,3601.00,1351,0\r\n2006-01-19,09:40:00,3601.00,3602.00,3601.00,3601.00,294,0\r\n2006-01-19,09:41:00,3601.00,3602.00,3601.00,3602.00,114,0\r\n2006-01-19,09:42:00,3601.00,3602.00,3600.00,3601.00,1023,0\r\n2006-01-19,09:43:00,3600.00,3601.00,3598.00,3599.00,1890,0\r\n2006-01-19,09:44:00,3598.00,3598.00,3597.00,3598.00,1951,0\r\n2006-01-19,09:45:00,3598.00,3599.00,3597.00,3598.00,417,0\r\n2006-01-19,09:46:00,3599.00,3599.00,3597.00,3597.00,419,0\r\n2006-01-19,09:47:00,3598.00,3600.00,3598.00,3599.00,1014,0\r\n2006-01-19,09:48:00,3598.00,3600.00,3598.00,3599.00,1277,0\r\n2006-01-19,09:49:00,3599.00,3600.00,3597.00,3597.00,613,0\r\n2006-01-19,09:50:00,3597.00,3597.00,3596.00,3597.00,2239,0\r\n2006-01-19,09:51:00,3597.00,3598.00,3597.00,3597.00,465,0\r\n2006-01-19,09:52:00,3598.00,3598.00,3598.00,3598.00,499,0\r\n2006-01-19,09:53:00,3598.00,3598.00,3597.00,3598.00,206,0\r\n2006-01-19,09:54:00,3598.00,3598.00,3597.00,3598.00,71,0\r\n2006-01-19,09:55:00,3598.00,3600.00,3598.00,3599.00,970,0\r\n2006-01-19,09:56:00,3600.00,3600.00,3598.00,3599.00,1342,0\r\n2006-01-19,09:57:00,3599.00,3600.00,3599.00,3599.00,42,0\r\n2006-01-19,09:58:00,3599.00,3600.00,3598.00,3598.00,612,0\r\n2006-01-19,09:59:00,3599.00,3600.00,3598.00,3599.00,196,0\r\n2006-01-19,10:00:00,3599.00,3599.00,3597.00,3598.00,610,0\r\n2006-01-19,10:01:00,3598.00,3599.00,3597.00,3599.00,1113,0\r\n2006-01-19,10:02:00,3599.00,3599.00,3598.00,3598.00,254,0\r\n2006-01-19,10:03:00,3599.00,3599.00,3597.00,3597.00,1300,0\r\n2006-01-19,10:04:00,3597.00,3597.00,3595.00,3596.00,2715,0\r\n2006-01-19,10:05:00,3596.00,3597.00,3596.00,3596.00,70,0\r\n2006-01-19,10:06:00,3597.00,3597.00,3596.00,3597.00,100,0\r\n2006-01-19,10:07:00,3597.00,3598.00,3597.00,3598.00,1693,0\r\n2006-01-19,10:08:00,3597.00,3598.00,3597.00,3598.00,149,0\r\n2006-01-19,10:09:00,3598.00,3601.00,3597.00,3601.00,2392,0\r\n2006-01-19,10:10:00,3601.00,3601.00,3599.00,3600.00,444,0\r\n2006-01-19,10:11:00,3599.00,3601.00,3599.00,3600.00,692,0\r\n2006-01-19,10:12:00,3599.00,3602.00,3599.00,3601.00,1045,0\r\n2006-01-19,10:13:00,3601.00,3602.00,3600.00,3601.00,793,0\r\n2006-01-19,10:14:00,3601.00,3602.00,3601.00,3601.00,389,0\r\n2006-01-19,10:15:00,3601.00,3601.00,3601.00,3601.00,733,0\r\n2006-01-19,10:16:00,3600.00,3601.00,3600.00,3601.00,48,0\r\n2006-01-19,10:17:00,3600.00,3603.00,3600.00,3603.00,1649,0\r\n2006-01-19,10:18:00,3602.00,3603.00,3601.00,3602.00,375,0\r\n2006-01-19,10:19:00,3603.00,3603.00,3602.00,3602.00,24,0\r\n2006-01-19,10:20:00,3602.00,3603.00,3602.00,3602.00,63,0\r\n2006-01-19,10:21:00,3603.00,3603.00,3601.00,3601.00,343,0\r\n2006-01-19,10:22:00,3602.00,3602.00,3601.00,3601.00,138,0\r\n2006-01-19,10:23:00,3602.00,3603.00,3601.00,3601.00,1413,0\r\n2006-01-19,10:24:00,3602.00,3602.00,3601.00,3602.00,299,0\r\n2006-01-19,10:25:00,3602.00,3603.00,3602.00,3602.00,221,0\r\n2006-01-19,10:26:00,3602.00,3604.00,3602.00,3603.00,917,0\r\n2006-01-19,10:27:00,3603.00,3603.00,3602.00,3602.00,103,0\r\n2006-01-19,10:28:00,3602.00,3603.00,3602.00,3602.00,559,0\r\n2006-01-19,10:29:00,3602.00,3603.00,3602.00,3602.00,16,0\r\n2006-01-19,10:30:00,3603.00,3603.00,3602.00,3603.00,163,0\r\n2006-01-19,10:31:00,3602.00,3603.00,3601.00,3602.00,1001,0\r\n2006-01-19,10:32:00,3601.00,3602.00,3601.00,3602.00,51,0\r\n2006-01-19,10:33:00,3601.00,3602.00,3601.00,3601.00,1013,0\r\n2006-01-19,10:34:00,3601.00,3601.00,3600.00,3601.00,4004,0\r\n2006-01-19,10:35:00,3601.00,3602.00,3601.00,3602.00,1644,0\r\n2006-01-19,10:36:00,3603.00,3603.00,3602.00,3602.00,90,0\r\n2006-01-19,10:37:00,3602.00,3602.00,3601.00,3602.00,229,0\r\n2006-01-19,10:38:00,3602.00,3602.00,3600.00,3601.00,728,0\r\n2006-01-19,10:39:00,3601.00,3602.00,3601.00,3602.00,263,0\r\n2006-01-19,10:40:00,3602.00,3603.00,3602.00,3602.00,148,0\r\n2006-01-19,10:41:00,3602.00,3603.00,3601.00,3603.00,3731,0\r\n2006-01-19,10:42:00,3602.00,3604.00,3602.00,3603.00,339,0\r\n2006-01-19,10:43:00,3603.00,3603.00,3602.00,3603.00,250,0\r\n2006-01-19,10:44:00,3602.00,3602.00,3601.00,3601.00,1383,0\r\n2006-01-19,10:45:00,3602.00,3602.00,3601.00,3602.00,722,0\r\n2006-01-19,10:46:00,3601.00,3602.00,3600.00,3601.00,1797,0\r\n2006-01-19,10:47:00,3601.00,3602.00,3601.00,3602.00,145,0\r\n2006-01-19,10:48:00,3602.00,3602.00,3600.00,3601.00,1993,0\r\n2006-01-19,10:49:00,3600.00,3601.00,3600.00,3600.00,284,0\r\n2006-01-19,10:50:00,3601.00,3601.00,3598.00,3599.00,1720,0\r\n2006-01-19,10:51:00,3599.00,3600.00,3599.00,3599.00,289,0\r\n2006-01-19,10:52:00,3599.00,3600.00,3599.00,3600.00,994,0\r\n2006-01-19,10:53:00,3599.00,3600.00,3598.00,3598.00,3217,0\r\n2006-01-19,10:54:00,3599.00,3599.00,3598.00,3598.00,594,0\r\n2006-01-19,10:55:00,3598.00,3599.00,3598.00,3598.00,3123,0\r\n2006-01-19,10:56:00,3598.00,3600.00,3598.00,3599.00,642,0\r\n2006-01-19,10:57:00,3599.00,3600.00,3597.00,3598.00,3446,0\r\n2006-01-19,10:58:00,3598.00,3599.00,3598.00,3598.00,2501,0\r\n2006-01-19,10:59:00,3599.00,3599.00,3597.00,3598.00,1348,0\r\n2006-01-19,11:00:00,3597.00,3599.00,3597.00,3599.00,314,0\r\n2006-01-19,11:01:00,3598.00,3599.00,3598.00,3599.00,450,0\r\n2006-01-19,11:02:00,3598.00,3599.00,3598.00,3598.00,1275,0\r\n2006-01-19,11:03:00,3598.00,3599.00,3598.00,3599.00,60,0\r\n2006-01-19,11:04:00,3598.00,3599.00,3598.00,3599.00,14,0\r\n2006-01-19,11:05:00,3599.00,3599.00,3598.00,3598.00,142,0\r\n2006-01-19,11:06:00,3598.00,3600.00,3598.00,3598.00,487,0\r\n2006-01-19,11:07:00,3599.00,3599.00,3598.00,3598.00,53,0\r\n2006-01-19,11:08:00,3599.00,3599.00,3597.00,3598.00,1020,0\r\n2006-01-19,11:09:00,3597.00,3598.00,3597.00,3597.00,516,0\r\n2006-01-19,11:10:00,3597.00,3597.00,3597.00,3597.00,31,0\r\n2006-01-19,11:11:00,3598.00,3598.00,3597.00,3597.00,106,0\r\n2006-01-19,11:12:00,3597.00,3597.00,3596.00,3596.00,671,0\r\n2006-01-19,11:13:00,3597.00,3597.00,3595.00,3596.00,1464,0\r\n2006-01-19,11:14:00,3596.00,3597.00,3596.00,3596.00,302,0\r\n2006-01-19,11:15:00,3597.00,3599.00,3597.00,3598.00,1290,0\r\n2006-01-19,11:16:00,3597.00,3599.00,3597.00,3599.00,137,0\r\n2006-01-19,11:17:00,3598.00,3599.00,3597.00,3598.00,218,0\r\n2006-01-19,11:18:00,3598.00,3598.00,3597.00,3598.00,428,0\r\n2006-01-19,11:19:00,3598.00,3599.00,3598.00,3598.00,1520,0\r\n2006-01-19,11:20:00,3598.00,3598.00,3598.00,3598.00,2,0\r\n2006-01-19,11:21:00,3599.00,3599.00,3598.00,3599.00,209,0\r\n2006-01-19,11:22:00,3599.00,3600.00,3598.00,3599.00,1198,0\r\n2006-01-19,11:23:00,3598.00,3599.00,3598.00,3599.00,765,0\r\n2006-01-19,11:24:00,3598.00,3599.00,3598.00,3599.00,1401,0\r\n2006-01-19,11:25:00,3599.00,3599.00,3598.00,3599.00,3062,0\r\n2006-01-19,11:26:00,3599.00,3599.00,3598.00,3599.00,2845,0\r\n2006-01-19,11:27:00,3600.00,3600.00,3598.00,3599.00,334,0\r\n2006-01-19,11:28:00,3599.00,3599.00,3598.00,3598.00,818,0\r\n2006-01-19,11:29:00,3598.00,3599.00,3598.00,3598.00,352,0\r\n2006-01-19,11:30:00,3599.00,3599.00,3598.00,3598.00,502,0\r\n2006-01-19,11:31:00,3598.00,3599.00,3598.00,3599.00,49,0\r\n2006-01-19,11:32:00,3598.00,3600.00,3598.00,3600.00,360,0\r\n2006-01-19,11:33:00,3600.00,3600.00,3599.00,3600.00,125,0\r\n2006-01-19,11:34:00,3600.00,3600.00,3599.00,3600.00,77,0\r\n2006-01-19,11:35:00,3600.00,3601.00,3599.00,3600.00,927,0\r\n2006-01-19,11:36:00,3600.00,3600.00,3598.00,3599.00,2390,0\r\n2006-01-19,11:37:00,3599.00,3599.00,3598.00,3598.00,453,0\r\n2006-01-19,11:38:00,3599.00,3599.00,3598.00,3599.00,12,0\r\n2006-01-19,11:39:00,3598.00,3599.00,3598.00,3599.00,169,0\r\n2006-01-19,11:40:00,3599.00,3599.00,3598.00,3598.00,311,0\r\n2006-01-19,11:41:00,3599.00,3600.00,3598.00,3600.00,1333,0\r\n2006-01-19,11:42:00,3599.00,3599.00,3597.00,3597.00,488,0\r\n2006-01-19,11:43:00,3598.00,3598.00,3597.00,3597.00,78,0\r\n2006-01-19,11:44:00,3598.00,3598.00,3596.00,3596.00,1413,0\r\n2006-01-19,11:45:00,3596.00,3596.00,3595.00,3596.00,1923,0\r\n2006-01-19,11:46:00,3596.00,3596.00,3595.00,3596.00,426,0\r\n2006-01-19,11:47:00,3595.00,3597.00,3595.00,3596.00,55,0\r\n2006-01-19,11:48:00,3596.00,3597.00,3596.00,3597.00,566,0\r\n2006-01-19,11:49:00,3596.00,3597.00,3596.00,3596.00,3097,0\r\n2006-01-19,11:50:00,3596.00,3596.00,3595.00,3596.00,597,0\r\n2006-01-19,11:51:00,3596.00,3597.00,3595.00,3596.00,359,0\r\n2006-01-19,11:52:00,3596.00,3597.00,3596.00,3596.00,9,0\r\n2006-01-19,11:53:00,3597.00,3598.00,3596.00,3597.00,1047,0\r\n2006-01-19,11:54:00,3597.00,3598.00,3596.00,3597.00,1300,0\r\n2006-01-19,11:55:00,3598.00,3598.00,3597.00,3598.00,104,0\r\n2006-01-19,11:56:00,3597.00,3598.00,3596.00,3596.00,1439,0\r\n2006-01-19,11:57:00,3596.00,3597.00,3596.00,3597.00,42,0\r\n2006-01-19,11:58:00,3596.00,3597.00,3596.00,3597.00,913,0\r\n2006-01-19,11:59:00,3598.00,3598.00,3597.00,3597.00,882,0\r\n2006-01-19,12:00:00,3598.00,3598.00,3597.00,3597.00,12,0\r\n2006-01-19,12:01:00,3597.00,3598.00,3597.00,3597.00,271,0\r\n2006-01-19,12:02:00,3598.00,3598.00,3596.00,3597.00,3493,0\r\n2006-01-19,12:03:00,3596.00,3597.00,3596.00,3596.00,214,0\r\n2006-01-19,12:04:00,3596.00,3597.00,3596.00,3597.00,1182,0\r\n2006-01-19,12:05:00,3598.00,3598.00,3597.00,3598.00,182,0\r\n2006-01-19,12:06:00,3597.00,3597.00,3596.00,3597.00,539,0\r\n2006-01-19,12:07:00,3596.00,3596.00,3595.00,3596.00,555,0\r\n2006-01-19,12:08:00,3596.00,3596.00,3594.00,3595.00,2742,0\r\n2006-01-19,12:09:00,3595.00,3595.00,3591.00,3592.00,4963,0\r\n2006-01-19,12:10:00,3592.00,3594.00,3592.00,3593.00,673,0\r\n2006-01-19,12:11:00,3593.00,3594.00,3592.00,3594.00,602,0\r\n2006-01-19,12:12:00,3593.00,3594.00,3592.00,3593.00,1202,0\r\n2006-01-19,12:13:00,3593.00,3594.00,3591.00,3592.00,3001,0\r\n2006-01-19,12:14:00,3592.00,3592.00,3589.00,3590.00,2244,0\r\n2006-01-19,12:15:00,3591.00,3592.00,3590.00,3592.00,917,0\r\n2006-01-19,12:16:00,3591.00,3593.00,3591.00,3591.00,1143,0\r\n2006-01-19,12:17:00,3592.00,3592.00,3588.00,3591.00,4199,0\r\n2006-01-19,12:18:00,3591.00,3592.00,3590.00,3591.00,686,0\r\n2006-01-19,12:19:00,3591.00,3591.00,3590.00,3591.00,842,0\r\n2006-01-19,12:20:00,3591.00,3591.00,3590.00,3590.00,373,0\r\n2006-01-19,12:21:00,3590.00,3591.00,3589.00,3590.00,1647,0\r\n2006-01-19,12:22:00,3590.00,3591.00,3590.00,3591.00,26,0\r\n2006-01-19,12:23:00,3591.00,3593.00,3591.00,3593.00,2772,0\r\n2006-01-19,12:24:00,3593.00,3593.00,3592.00,3592.00,275,0\r\n2006-01-19,12:25:00,3593.00,3593.00,3592.00,3593.00,46,0\r\n2006-01-19,12:26:00,3593.00,3593.00,3592.00,3593.00,31,0\r\n2006-01-19,12:27:00,3593.00,3593.00,3591.00,3591.00,1567,0\r\n2006-01-19,12:28:00,3591.00,3591.00,3589.00,3591.00,1009,0\r\n2006-01-19,12:29:00,3591.00,3591.00,3591.00,3591.00,89,0\r\n2006-01-19,12:30:00,3591.00,3594.00,3591.00,3593.00,1619,0\r\n2006-01-19,12:31:00,3593.00,3594.00,3592.00,3594.00,713,0\r\n2006-01-19,12:32:00,3592.00,3593.00,3591.00,3592.00,1468,0\r\n2006-01-19,12:33:00,3592.00,3592.00,3591.00,3592.00,23,0\r\n2006-01-19,12:34:00,3591.00,3591.00,3590.00,3591.00,645,0\r\n2006-01-19,12:35:00,3591.00,3591.00,3590.00,3591.00,959,0\r\n2006-01-19,12:36:00,3591.00,3592.00,3591.00,3592.00,358,0\r\n2006-01-19,12:37:00,3592.00,3592.00,3591.00,3592.00,181,0\r\n2006-01-19,12:38:00,3592.00,3593.00,3591.00,3592.00,1807,0\r\n2006-01-19,12:39:00,3592.00,3593.00,3591.00,3593.00,854,0\r\n2006-01-19,12:40:00,3593.00,3593.00,3592.00,3593.00,840,0\r\n2006-01-19,12:41:00,3593.00,3593.00,3592.00,3592.00,522,0\r\n2006-01-19,12:42:00,3593.00,3593.00,3592.00,3593.00,1582,0\r\n2006-01-19,12:43:00,3593.00,3596.00,3592.00,3595.00,1816,0\r\n2006-01-19,12:44:00,3595.00,3596.00,3594.00,3595.00,2172,0\r\n2006-01-19,12:45:00,3595.00,3596.00,3595.00,3596.00,349,0\r\n2006-01-19,12:46:00,3595.00,3596.00,3595.00,3596.00,491,0\r\n2006-01-19,12:47:00,3595.00,3596.00,3595.00,3595.00,880,0\r\n2006-01-19,12:48:00,3595.00,3596.00,3595.00,3596.00,321,0\r\n2006-01-19,12:49:00,3596.00,3598.00,3596.00,3597.00,906,0\r\n2006-01-19,12:50:00,3598.00,3598.00,3596.00,3596.00,2002,0\r\n2006-01-19,12:51:00,3596.00,3596.00,3595.00,3596.00,1142,0\r\n2006-01-19,12:52:00,3595.00,3597.00,3595.00,3597.00,663,0\r\n2006-01-19,12:53:00,3596.00,3596.00,3596.00,3596.00,1501,0\r\n2006-01-19,12:54:00,3596.00,3597.00,3596.00,3596.00,1012,0\r\n2006-01-19,12:55:00,3596.00,3596.00,3596.00,3596.00,2231,0\r\n2006-01-19,12:56:00,3596.00,3596.00,3595.00,3596.00,225,0\r\n2006-01-19,12:57:00,3596.00,3596.00,3595.00,3595.00,54,0\r\n2006-01-19,12:58:00,3595.00,3596.00,3595.00,3596.00,598,0\r\n2006-01-19,12:59:00,3595.00,3596.00,3595.00,3596.00,980,0\r\n2006-01-19,13:00:00,3596.00,3596.00,3595.00,3596.00,1121,0\r\n2006-01-19,13:01:00,3596.00,3596.00,3595.00,3595.00,2649,0\r\n2006-01-19,13:02:00,3595.00,3595.00,3595.00,3595.00,36,0\r\n2006-01-19,13:03:00,3595.00,3596.00,3595.00,3595.00,479,0\r\n2006-01-19,13:04:00,3595.00,3595.00,3592.00,3593.00,1789,0\r\n2006-01-19,13:05:00,3593.00,3594.00,3592.00,3593.00,548,0\r\n2006-01-19,13:06:00,3592.00,3593.00,3591.00,3591.00,500,0\r\n2006-01-19,13:07:00,3591.00,3591.00,3590.00,3590.00,1115,0\r\n2006-01-19,13:08:00,3590.00,3591.00,3589.00,3590.00,1823,0\r\n2006-01-19,13:09:00,3590.00,3591.00,3590.00,3590.00,1774,0\r\n2006-01-19,13:10:00,3591.00,3592.00,3591.00,3592.00,240,0\r\n2006-01-19,13:11:00,3592.00,3592.00,3591.00,3591.00,196,0\r\n2006-01-19,13:12:00,3591.00,3592.00,3591.00,3592.00,1413,0\r\n2006-01-19,13:13:00,3592.00,3593.00,3592.00,3593.00,1579,0\r\n2006-01-19,13:14:00,3593.00,3594.00,3593.00,3593.00,256,0\r\n2006-01-19,13:15:00,3593.00,3593.00,3592.00,3593.00,115,0\r\n2006-01-19,13:16:00,3592.00,3593.00,3592.00,3593.00,18,0\r\n2006-01-19,13:17:00,3592.00,3593.00,3592.00,3592.00,440,0\r\n2006-01-19,13:18:00,3593.00,3594.00,3593.00,3593.00,420,0\r\n2006-01-19,13:19:00,3593.00,3594.00,3593.00,3593.00,92,0\r\n2006-01-19,13:20:00,3593.00,3593.00,3593.00,3593.00,15,0\r\n2006-01-19,13:21:00,3593.00,3594.00,3593.00,3594.00,3,0\r\n2006-01-19,13:22:00,3593.00,3593.00,3593.00,3593.00,211,0\r\n2006-01-19,13:23:00,3593.00,3594.00,3593.00,3593.00,424,0\r\n2006-01-19,13:24:00,3593.00,3593.00,3593.00,3593.00,158,0\r\n2006-01-19,13:25:00,3593.00,3594.00,3593.00,3594.00,11,0\r\n2006-01-19,13:26:00,3593.00,3593.00,3593.00,3593.00,3582,0\r\n2006-01-19,13:27:00,3593.00,3593.00,3593.00,3593.00,207,0\r\n2006-01-19,13:28:00,3593.00,3593.00,3593.00,3593.00,230,0\r\n2006-01-19,13:29:00,3593.00,3594.00,3593.00,3594.00,385,0\r\n2006-01-19,13:30:00,3593.00,3594.00,3593.00,3594.00,107,0\r\n2006-01-19,13:31:00,3593.00,3597.00,3593.00,3596.00,1707,0\r\n2006-01-19,13:32:00,3596.00,3597.00,3595.00,3597.00,589,0\r\n2006-01-19,13:33:00,3596.00,3597.00,3596.00,3596.00,36,0\r\n2006-01-19,13:34:00,3597.00,3598.00,3597.00,3598.00,1724,0\r\n2006-01-19,13:35:00,3598.00,3599.00,3597.00,3599.00,592,0\r\n2006-01-19,13:36:00,3599.00,3600.00,3597.00,3597.00,1551,0\r\n2006-01-19,13:37:00,3597.00,3597.00,3596.00,3597.00,186,0\r\n2006-01-19,13:38:00,3596.00,3597.00,3595.00,3597.00,642,0\r\n2006-01-19,13:39:00,3596.00,3596.00,3595.00,3595.00,34,0\r\n2006-01-19,13:40:00,3595.00,3596.00,3595.00,3595.00,63,0\r\n2006-01-19,13:41:00,3595.00,3596.00,3595.00,3595.00,4,0\r\n2006-01-19,13:42:00,3595.00,3595.00,3594.00,3595.00,363,0\r\n2006-01-19,13:43:00,3595.00,3595.00,3594.00,3595.00,215,0\r\n2006-01-19,13:44:00,3595.00,3595.00,3594.00,3594.00,1278,0\r\n2006-01-19,13:45:00,3595.00,3595.00,3593.00,3594.00,887,0\r\n2006-01-19,13:46:00,3593.00,3594.00,3593.00,3593.00,30,0\r\n2006-01-19,13:47:00,3593.00,3594.00,3593.00,3593.00,49,0\r\n2006-01-19,13:48:00,3594.00,3595.00,3593.00,3594.00,353,0\r\n2006-01-19,13:49:00,3594.00,3594.00,3594.00,3594.00,3,0\r\n2006-01-19,13:50:00,3594.00,3594.00,3594.00,3594.00,1322,0\r\n2006-01-19,13:51:00,3594.00,3595.00,3594.00,3594.00,424,0\r\n2006-01-19,13:52:00,3595.00,3595.00,3593.00,3593.00,242,0\r\n2006-01-19,13:53:00,3594.00,3595.00,3593.00,3595.00,2583,0\r\n2006-01-19,13:54:00,3594.00,3595.00,3594.00,3594.00,461,0\r\n2006-01-19,13:55:00,3595.00,3595.00,3593.00,3593.00,338,0\r\n2006-01-19,13:56:00,3593.00,3593.00,3593.00,3593.00,4,0\r\n2006-01-19,13:57:00,3594.00,3594.00,3593.00,3593.00,111,0\r\n2006-01-19,13:58:00,3593.00,3594.00,3593.00,3594.00,101,0\r\n2006-01-19,13:59:00,3594.00,3595.00,3594.00,3594.00,404,0\r\n2006-01-19,14:00:00,3594.00,3596.00,3594.00,3595.00,281,0\r\n2006-01-19,14:01:00,3595.00,3596.00,3595.00,3595.00,190,0\r\n2006-01-19,14:02:00,3595.00,3597.00,3595.00,3595.00,1598,0\r\n2006-01-19,14:03:00,3595.00,3596.00,3595.00,3596.00,602,0\r\n2006-01-19,14:04:00,3596.00,3596.00,3596.00,3596.00,2,0\r\n2006-01-19,14:05:00,3596.00,3597.00,3596.00,3596.00,502,0\r\n2006-01-19,14:06:00,3597.00,3598.00,3597.00,3598.00,783,0\r\n2006-01-19,14:07:00,3598.00,3598.00,3597.00,3597.00,58,0\r\n2006-01-19,14:08:00,3598.00,3600.00,3597.00,3599.00,1441,0\r\n2006-01-19,14:09:00,3599.00,3600.00,3599.00,3599.00,791,0\r\n2006-01-19,14:10:00,3599.00,3599.00,3599.00,3599.00,2425,0\r\n2006-01-19,14:11:00,3599.00,3600.00,3599.00,3600.00,15,0\r\n2006-01-19,14:12:00,3600.00,3600.00,3599.00,3599.00,1153,0\r\n2006-01-19,14:13:00,3599.00,3600.00,3598.00,3599.00,1808,0\r\n2006-01-19,14:14:00,3599.00,3599.00,3598.00,3599.00,550,0\r\n2006-01-19,14:15:00,3599.00,3600.00,3598.00,3598.00,460,0\r\n2006-01-19,14:16:00,3598.00,3598.00,3598.00,3598.00,811,0\r\n2006-01-19,14:17:00,3598.00,3598.00,3597.00,3598.00,141,0\r\n2006-01-19,14:18:00,3598.00,3598.00,3597.00,3598.00,318,0\r\n2006-01-19,14:19:00,3598.00,3599.00,3598.00,3598.00,510,0\r\n2006-01-19,14:20:00,3599.00,3599.00,3598.00,3598.00,226,0\r\n2006-01-19,14:21:00,3598.00,3599.00,3598.00,3599.00,275,0\r\n2006-01-19,14:22:00,3599.00,3599.00,3598.00,3599.00,146,0\r\n2006-01-19,14:23:00,3599.00,3600.00,3598.00,3600.00,594,0\r\n2006-01-19,14:24:00,3600.00,3600.00,3598.00,3598.00,588,0\r\n2006-01-19,14:25:00,3598.00,3599.00,3598.00,3598.00,244,0\r\n2006-01-19,14:26:00,3599.00,3600.00,3599.00,3600.00,345,0\r\n2006-01-19,14:27:00,3599.00,3599.00,3599.00,3599.00,138,0\r\n2006-01-19,14:28:00,3599.00,3600.00,3599.00,3600.00,603,0\r\n2006-01-19,14:29:00,3599.00,3600.00,3599.00,3599.00,398,0\r\n2006-01-19,14:30:00,3600.00,3601.00,3599.00,3599.00,332,0\r\n2006-01-19,14:31:00,3599.00,3602.00,3598.00,3600.00,1916,0\r\n2006-01-19,14:32:00,3599.00,3600.00,3599.00,3599.00,589,0\r\n2006-01-19,14:33:00,3599.00,3599.00,3597.00,3598.00,1787,0\r\n2006-01-19,14:34:00,3599.00,3601.00,3598.00,3600.00,1285,0\r\n2006-01-19,14:35:00,3599.00,3600.00,3599.00,3599.00,546,0\r\n2006-01-19,14:36:00,3600.00,3600.00,3599.00,3600.00,499,0\r\n2006-01-19,14:37:00,3600.00,3601.00,3600.00,3601.00,470,0\r\n2006-01-19,14:38:00,3600.00,3601.00,3600.00,3600.00,113,0\r\n2006-01-19,14:39:00,3600.00,3601.00,3600.00,3600.00,10,0\r\n2006-01-19,14:40:00,3601.00,3602.00,3601.00,3601.00,1018,0\r\n2006-01-19,14:41:00,3602.00,3602.00,3600.00,3601.00,2010,0\r\n2006-01-19,14:42:00,3602.00,3603.00,3601.00,3602.00,1682,0\r\n2006-01-19,14:43:00,3602.00,3604.00,3602.00,3603.00,721,0\r\n2006-01-19,14:44:00,3603.00,3603.00,3602.00,3602.00,248,0\r\n2006-01-19,14:45:00,3602.00,3603.00,3601.00,3602.00,580,0\r\n2006-01-19,14:46:00,3601.00,3602.00,3601.00,3602.00,778,0\r\n2006-01-19,14:47:00,3602.00,3603.00,3602.00,3602.00,37,0\r\n2006-01-19,14:48:00,3602.00,3602.00,3601.00,3602.00,483,0\r\n2006-01-19,14:49:00,3601.00,3602.00,3601.00,3601.00,759,0\r\n2006-01-19,14:50:00,3601.00,3603.00,3601.00,3603.00,933,0\r\n2006-01-19,14:51:00,3602.00,3603.00,3602.00,3602.00,138,0\r\n2006-01-19,14:52:00,3602.00,3602.00,3601.00,3602.00,238,0\r\n2006-01-19,14:53:00,3601.00,3601.00,3601.00,3601.00,1079,0\r\n2006-01-19,14:54:00,3601.00,3601.00,3601.00,3601.00,154,0\r\n2006-01-19,14:55:00,3601.00,3601.00,3600.00,3600.00,160,0\r\n2006-01-19,14:56:00,3600.00,3601.00,3600.00,3600.00,399,0\r\n2006-01-19,14:57:00,3599.00,3600.00,3598.00,3599.00,1384,0\r\n2006-01-19,14:58:00,3599.00,3600.00,3598.00,3599.00,227,0\r\n2006-01-19,14:59:00,3599.00,3600.00,3599.00,3599.00,187,0\r\n2006-01-19,15:00:00,3599.00,3600.00,3599.00,3600.00,18,0\r\n2006-01-19,15:01:00,3599.00,3601.00,3599.00,3601.00,341,0\r\n2006-01-19,15:02:00,3600.00,3601.00,3600.00,3601.00,8,0\r\n2006-01-19,15:03:00,3601.00,3601.00,3600.00,3601.00,505,0\r\n2006-01-19,15:04:00,3601.00,3602.00,3601.00,3601.00,94,0\r\n2006-01-19,15:05:00,3601.00,3601.00,3601.00,3601.00,41,0\r\n2006-01-19,15:06:00,3602.00,3602.00,3601.00,3601.00,461,0\r\n2006-01-19,15:07:00,3602.00,3604.00,3602.00,3603.00,931,0\r\n2006-01-19,15:08:00,3603.00,3604.00,3603.00,3604.00,465,0\r\n2006-01-19,15:09:00,3604.00,3605.00,3603.00,3604.00,752,0\r\n2006-01-19,15:10:00,3605.00,3605.00,3604.00,3605.00,322,0\r\n2006-01-19,15:11:00,3605.00,3605.00,3603.00,3604.00,1260,0\r\n2006-01-19,15:12:00,3603.00,3604.00,3603.00,3604.00,81,0\r\n2006-01-19,15:13:00,3603.00,3604.00,3603.00,3603.00,796,0\r\n2006-01-19,15:14:00,3604.00,3605.00,3603.00,3604.00,669,0\r\n2006-01-19,15:15:00,3604.00,3605.00,3604.00,3605.00,327,0\r\n2006-01-19,15:16:00,3604.00,3605.00,3604.00,3604.00,303,0\r\n2006-01-19,15:17:00,3604.00,3604.00,3604.00,3604.00,377,0\r\n2006-01-19,15:18:00,3603.00,3604.00,3603.00,3604.00,224,0\r\n2006-01-19,15:19:00,3603.00,3604.00,3603.00,3603.00,451,0\r\n2006-01-19,15:20:00,3603.00,3603.00,3602.00,3602.00,287,0\r\n2006-01-19,15:21:00,3603.00,3604.00,3602.00,3604.00,289,0\r\n2006-01-19,15:22:00,3603.00,3603.00,3602.00,3602.00,235,0\r\n2006-01-19,15:23:00,3602.00,3603.00,3602.00,3603.00,775,0\r\n2006-01-19,15:24:00,3603.00,3603.00,3602.00,3603.00,527,0\r\n2006-01-19,15:25:00,3603.00,3603.00,3602.00,3602.00,404,0\r\n2006-01-19,15:26:00,3602.00,3603.00,3601.00,3602.00,844,0\r\n2006-01-19,15:27:00,3601.00,3602.00,3600.00,3600.00,1043,0\r\n2006-01-19,15:28:00,3601.00,3601.00,3600.00,3600.00,85,0\r\n2006-01-19,15:29:00,3600.00,3601.00,3600.00,3600.00,25,0\r\n2006-01-19,15:30:00,3601.00,3601.00,3600.00,3601.00,177,0\r\n2006-01-19,15:31:00,3601.00,3601.00,3600.00,3601.00,822,0\r\n2006-01-19,15:32:00,3600.00,3601.00,3600.00,3600.00,353,0\r\n2006-01-19,15:33:00,3600.00,3600.00,3599.00,3599.00,1449,0\r\n2006-01-19,15:34:00,3599.00,3601.00,3599.00,3600.00,567,0\r\n2006-01-19,15:35:00,3600.00,3601.00,3600.00,3600.00,141,0\r\n2006-01-19,15:36:00,3600.00,3602.00,3600.00,3601.00,1020,0\r\n2006-01-19,15:37:00,3601.00,3601.00,3599.00,3599.00,1831,0\r\n2006-01-19,15:38:00,3600.00,3600.00,3599.00,3600.00,694,0\r\n2006-01-19,15:39:00,3601.00,3601.00,3600.00,3601.00,322,0\r\n2006-01-19,15:40:00,3600.00,3602.00,3600.00,3601.00,655,0\r\n2006-01-19,15:41:00,3602.00,3603.00,3601.00,3602.00,601,0\r\n2006-01-19,15:42:00,3602.00,3602.00,3601.00,3601.00,448,0\r\n2006-01-19,15:43:00,3601.00,3602.00,3600.00,3601.00,778,0\r\n2006-01-19,15:44:00,3601.00,3602.00,3601.00,3602.00,867,0\r\n2006-01-19,15:45:00,3603.00,3603.00,3601.00,3603.00,699,0\r\n2006-01-19,15:46:00,3602.00,3602.00,3600.00,3601.00,1238,0\r\n2006-01-19,15:47:00,3601.00,3601.00,3600.00,3600.00,1137,0\r\n2006-01-19,15:48:00,3601.00,3602.00,3600.00,3601.00,1279,0\r\n2006-01-19,15:49:00,3600.00,3601.00,3600.00,3601.00,1641,0\r\n2006-01-19,15:50:00,3600.00,3602.00,3600.00,3601.00,681,0\r\n2006-01-19,15:51:00,3601.00,3601.00,3600.00,3600.00,526,0\r\n2006-01-19,15:52:00,3600.00,3601.00,3600.00,3600.00,2912,0\r\n2006-01-19,15:53:00,3601.00,3601.00,3600.00,3600.00,963,0\r\n2006-01-19,15:54:00,3600.00,3601.00,3600.00,3600.00,163,0\r\n2006-01-19,15:55:00,3600.00,3601.00,3599.00,3599.00,726,0\r\n2006-01-19,15:56:00,3599.00,3599.00,3598.00,3599.00,984,0\r\n2006-01-19,15:57:00,3599.00,3600.00,3598.00,3599.00,1252,0\r\n2006-01-19,15:58:00,3599.00,3600.00,3598.00,3599.00,2264,0\r\n2006-01-19,15:59:00,3599.00,3600.00,3599.00,3599.00,2165,0\r\n2006-01-19,16:00:00,3600.00,3602.00,3599.00,3602.00,1301,0\r\n2006-01-19,16:01:00,3602.00,3603.00,3601.00,3603.00,2171,0\r\n2006-01-19,16:02:00,3603.00,3604.00,3602.00,3602.00,811,0\r\n2006-01-19,16:03:00,3602.00,3603.00,3599.00,3600.00,4192,0\r\n2006-01-19,16:04:00,3600.00,3601.00,3599.00,3601.00,1880,0\r\n2006-01-19,16:05:00,3601.00,3602.00,3600.00,3601.00,2822,0\r\n2006-01-19,16:06:00,3600.00,3600.00,3597.00,3597.00,2423,0\r\n2006-01-19,16:07:00,3597.00,3599.00,3597.00,3598.00,2302,0\r\n2006-01-19,16:08:00,3598.00,3599.00,3597.00,3598.00,1832,0\r\n2006-01-19,16:09:00,3599.00,3599.00,3597.00,3597.00,2117,0\r\n2006-01-19,16:10:00,3598.00,3598.00,3597.00,3598.00,1156,0\r\n2006-01-19,16:11:00,3597.00,3598.00,3597.00,3597.00,1076,0\r\n2006-01-19,16:12:00,3597.00,3598.00,3594.00,3595.00,3678,0\r\n2006-01-19,16:13:00,3595.00,3596.00,3595.00,3595.00,653,0\r\n2006-01-19,16:14:00,3596.00,3598.00,3595.00,3598.00,1549,0\r\n2006-01-19,16:15:00,3598.00,3599.00,3597.00,3597.00,2297,0\r\n2006-01-19,16:16:00,3597.00,3600.00,3597.00,3599.00,2749,0\r\n2006-01-19,16:17:00,3599.00,3601.00,3599.00,3600.00,1809,0\r\n2006-01-19,16:18:00,3601.00,3601.00,3599.00,3600.00,935,0\r\n2006-01-19,16:19:00,3599.00,3601.00,3598.00,3600.00,924,0\r\n2006-01-19,16:20:00,3600.00,3601.00,3598.00,3599.00,2182,0\r\n2006-01-19,16:21:00,3599.00,3599.00,3597.00,3597.00,1153,0\r\n2006-01-19,16:22:00,3597.00,3599.00,3597.00,3598.00,827,0\r\n2006-01-19,16:23:00,3598.00,3599.00,3598.00,3598.00,40,0\r\n2006-01-19,16:24:00,3599.00,3599.00,3598.00,3598.00,997,0\r\n2006-01-19,16:25:00,3599.00,3599.00,3597.00,3597.00,646,0\r\n2006-01-19,16:26:00,3597.00,3598.00,3597.00,3597.00,656,0\r\n2006-01-19,16:27:00,3597.00,3599.00,3597.00,3599.00,795,0\r\n2006-01-19,16:28:00,3599.00,3600.00,3598.00,3598.00,257,0\r\n2006-01-19,16:29:00,3598.00,3599.00,3597.00,3597.00,1139,0\r\n2006-01-19,16:30:00,3598.00,3599.00,3597.00,3599.00,595,0\r\n2006-01-19,16:31:00,3598.00,3601.00,3598.00,3598.00,2944,0\r\n2006-01-19,16:32:00,3598.00,3601.00,3598.00,3599.00,1250,0\r\n2006-01-19,16:33:00,3599.00,3599.00,3597.00,3597.00,1652,0\r\n2006-01-19,16:34:00,3597.00,3599.00,3597.00,3598.00,901,0\r\n2006-01-19,16:35:00,3598.00,3598.00,3597.00,3598.00,249,0\r\n2006-01-19,16:36:00,3597.00,3599.00,3597.00,3598.00,497,0\r\n2006-01-19,16:37:00,3598.00,3599.00,3598.00,3599.00,1227,0\r\n2006-01-19,16:38:00,3598.00,3601.00,3598.00,3600.00,1456,0\r\n2006-01-19,16:39:00,3600.00,3600.00,3599.00,3599.00,749,0\r\n2006-01-19,16:40:00,3599.00,3600.00,3599.00,3599.00,930,0\r\n2006-01-19,16:41:00,3600.00,3600.00,3599.00,3600.00,252,0\r\n2006-01-19,16:42:00,3600.00,3600.00,3599.00,3600.00,1748,0\r\n2006-01-19,16:43:00,3600.00,3600.00,3599.00,3599.00,383,0\r\n2006-01-19,16:44:00,3599.00,3600.00,3598.00,3599.00,1078,0\r\n2006-01-19,16:45:00,3598.00,3600.00,3598.00,3599.00,4433,0\r\n2006-01-19,16:46:00,3599.00,3600.00,3598.00,3599.00,826,0\r\n2006-01-19,16:47:00,3598.00,3600.00,3597.00,3600.00,1490,0\r\n2006-01-19,16:48:00,3599.00,3600.00,3599.00,3599.00,1294,0\r\n2006-01-19,16:49:00,3599.00,3601.00,3599.00,3601.00,1957,0\r\n2006-01-19,16:50:00,3600.00,3601.00,3600.00,3600.00,1007,0\r\n2006-01-19,16:51:00,3599.00,3601.00,3599.00,3600.00,309,0\r\n2006-01-19,16:52:00,3600.00,3601.00,3600.00,3600.00,231,0\r\n2006-01-19,16:53:00,3600.00,3601.00,3599.00,3600.00,1614,0\r\n2006-01-19,16:54:00,3600.00,3601.00,3600.00,3600.00,2235,0\r\n2006-01-19,16:55:00,3601.00,3601.00,3599.00,3600.00,1578,0\r\n2006-01-19,16:56:00,3599.00,3600.00,3599.00,3599.00,937,0\r\n2006-01-19,16:57:00,3599.00,3600.00,3599.00,3599.00,268,0\r\n2006-01-19,16:58:00,3599.00,3600.00,3599.00,3599.00,1069,0\r\n2006-01-19,16:59:00,3599.00,3600.00,3598.00,3599.00,2085,0\r\n2006-01-19,17:00:00,3598.00,3599.00,3598.00,3598.00,316,0\r\n2006-01-19,17:01:00,3598.00,3600.00,3598.00,3600.00,628,0\r\n2006-01-19,17:02:00,3600.00,3601.00,3599.00,3601.00,707,0\r\n2006-01-19,17:03:00,3601.00,3601.00,3599.00,3599.00,701,0\r\n2006-01-19,17:04:00,3599.00,3599.00,3599.00,3599.00,220,0\r\n2006-01-19,17:05:00,3599.00,3600.00,3598.00,3600.00,1995,0\r\n2006-01-19,17:06:00,3600.00,3602.00,3599.00,3601.00,1967,0\r\n2006-01-19,17:07:00,3601.00,3602.00,3600.00,3600.00,705,0\r\n2006-01-19,17:08:00,3600.00,3602.00,3600.00,3601.00,1418,0\r\n2006-01-19,17:09:00,3602.00,3602.00,3601.00,3602.00,676,0\r\n2006-01-19,17:10:00,3601.00,3604.00,3601.00,3603.00,4504,0\r\n2006-01-19,17:11:00,3603.00,3603.00,3602.00,3602.00,2642,0\r\n2006-01-19,17:12:00,3603.00,3604.00,3602.00,3604.00,3558,0\r\n2006-01-19,17:13:00,3603.00,3606.00,3603.00,3605.00,3132,0\r\n2006-01-19,17:14:00,3605.00,3606.00,3604.00,3604.00,1683,0\r\n2006-01-19,17:15:00,3604.00,3605.00,3603.00,3603.00,2219,0\r\n2006-01-19,17:16:00,3603.00,3604.00,3603.00,3603.00,1939,0\r\n2006-01-19,17:17:00,3602.00,3603.00,3601.00,3601.00,2263,0\r\n2006-01-19,17:18:00,3601.00,3602.00,3601.00,3602.00,1129,0\r\n2006-01-19,17:19:00,3602.00,3602.00,3600.00,3601.00,1543,0\r\n2006-01-19,17:20:00,3601.00,3602.00,3600.00,3601.00,1314,0\r\n2006-01-19,17:21:00,3601.00,3602.00,3600.00,3600.00,3018,0\r\n2006-01-19,17:22:00,3601.00,3601.00,3599.00,3600.00,1741,0\r\n2006-01-19,17:23:00,3599.00,3600.00,3599.00,3599.00,2332,0\r\n2006-01-19,17:24:00,3600.00,3600.00,3599.00,3599.00,2498,0\r\n2006-01-19,17:25:00,3600.00,3600.00,3599.00,3600.00,1218,0\r\n2006-01-19,17:26:00,3600.00,3600.00,3599.00,3599.00,1153,0\r\n2006-01-19,17:27:00,3600.00,3600.00,3599.00,3599.00,1030,0\r\n2006-01-19,17:28:00,3599.00,3600.00,3599.00,3599.00,956,0\r\n2006-01-19,17:29:00,3599.00,3601.00,3599.00,3601.00,2637,0\r\n2006-01-19,17:30:00,3602.00,3603.00,3601.00,3602.00,7903,0\r\n2006-01-19,17:31:00,3602.00,3603.00,3601.00,3601.00,4111,0\r\n2006-01-19,17:32:00,3601.00,3601.00,3600.00,3600.00,1697,0\r\n2006-01-19,17:33:00,3600.00,3602.00,3600.00,3602.00,1765,0\r\n2006-01-19,17:34:00,3602.00,3603.00,3602.00,3603.00,2750,0\r\n2006-01-19,17:35:00,3603.00,3604.00,3603.00,3603.00,2898,0\r\n2006-01-19,17:36:00,3602.00,3604.00,3602.00,3604.00,631,0\r\n2006-01-19,17:37:00,3604.00,3604.00,3602.00,3603.00,1688,0\r\n2006-01-19,17:38:00,3602.00,3604.00,3602.00,3603.00,1707,0\r\n2006-01-19,17:39:00,3603.00,3603.00,3602.00,3602.00,285,0\r\n2006-01-19,17:40:00,3602.00,3603.00,3602.00,3603.00,244,0\r\n2006-01-19,17:41:00,3602.00,3603.00,3602.00,3603.00,99,0\r\n2006-01-19,17:42:00,3602.00,3603.00,3602.00,3602.00,180,0\r\n2006-01-19,17:43:00,3602.00,3602.00,3601.00,3601.00,456,0\r\n2006-01-19,17:44:00,3602.00,3602.00,3602.00,3602.00,515,0\r\n2006-01-19,17:45:00,3602.00,3604.00,3602.00,3603.00,1805,0\r\n2006-01-19,17:46:00,3603.00,3604.00,3603.00,3604.00,174,0\r\n2006-01-19,17:47:00,3604.00,3604.00,3603.00,3604.00,511,0\r\n2006-01-19,17:48:00,3604.00,3604.00,3603.00,3603.00,408,0\r\n2006-01-19,17:49:00,3604.00,3604.00,3603.00,3603.00,349,0\r\n2006-01-19,17:50:00,3604.00,3607.00,3604.00,3606.00,2653,0\r\n2006-01-19,17:51:00,3606.00,3607.00,3606.00,3606.00,659,0\r\n2006-01-19,17:52:00,3606.00,3607.00,3606.00,3606.00,1009,0\r\n2006-01-19,17:53:00,3606.00,3608.00,3606.00,3606.00,2052,0\r\n2006-01-19,17:54:00,3606.00,3607.00,3605.00,3606.00,641,0\r\n2006-01-19,17:55:00,3606.00,3606.00,3605.00,3606.00,484,0\r\n2006-01-19,17:56:00,3606.00,3606.00,3605.00,3606.00,394,0\r\n2006-01-19,17:57:00,3606.00,3606.00,3604.00,3604.00,738,0\r\n2006-01-19,17:58:00,3604.00,3606.00,3604.00,3605.00,817,0\r\n2006-01-19,17:59:00,3606.00,3607.00,3606.00,3606.00,485,0\r\n2006-01-19,18:00:00,3606.00,3606.00,3605.00,3605.00,105,0\r\n2006-01-19,18:01:00,3605.00,3606.00,3601.00,3601.00,4519,0\r\n2006-01-19,18:02:00,3601.00,3604.00,3601.00,3603.00,1540,0\r\n2006-01-19,18:03:00,3604.00,3606.00,3603.00,3606.00,1834,0\r\n2006-01-19,18:04:00,3606.00,3608.00,3604.00,3608.00,796,0\r\n2006-01-19,18:05:00,3608.00,3611.00,3608.00,3610.00,4647,0\r\n2006-01-19,18:06:00,3611.00,3612.00,3610.00,3610.00,2110,0\r\n2006-01-19,18:07:00,3610.00,3612.00,3609.00,3611.00,2683,0\r\n2006-01-19,18:08:00,3611.00,3612.00,3609.00,3610.00,1849,0\r\n2006-01-19,18:09:00,3610.00,3610.00,3609.00,3610.00,1283,0\r\n2006-01-19,18:10:00,3610.00,3610.00,3610.00,3610.00,606,0\r\n2006-01-19,18:11:00,3610.00,3611.00,3610.00,3611.00,1595,0\r\n2006-01-19,18:12:00,3611.00,3611.00,3610.00,3610.00,228,0\r\n2006-01-19,18:13:00,3611.00,3611.00,3610.00,3610.00,437,0\r\n2006-01-19,18:14:00,3610.00,3610.00,3610.00,3610.00,232,0\r\n2006-01-19,18:15:00,3610.00,3611.00,3610.00,3611.00,174,0\r\n2006-01-19,18:16:00,3611.00,3611.00,3611.00,3611.00,498,0\r\n2006-01-19,18:17:00,3611.00,3612.00,3610.00,3611.00,860,0\r\n2006-01-19,18:18:00,3610.00,3611.00,3610.00,3610.00,515,0\r\n2006-01-19,18:19:00,3610.00,3612.00,3610.00,3612.00,193,0\r\n2006-01-19,18:20:00,3612.00,3612.00,3610.00,3611.00,1437,0\r\n2006-01-19,18:21:00,3611.00,3611.00,3610.00,3611.00,359,0\r\n2006-01-19,18:22:00,3610.00,3611.00,3610.00,3611.00,284,0\r\n2006-01-19,18:23:00,3611.00,3613.00,3611.00,3612.00,1816,0\r\n2006-01-19,18:24:00,3612.00,3613.00,3611.00,3612.00,885,0\r\n2006-01-19,18:25:00,3612.00,3612.00,3611.00,3612.00,343,0\r\n2006-01-19,18:26:00,3611.00,3612.00,3611.00,3611.00,330,0\r\n2006-01-19,18:27:00,3611.00,3611.00,3611.00,3611.00,89,0\r\n2006-01-19,18:28:00,3611.00,3611.00,3610.00,3610.00,803,0\r\n2006-01-19,18:29:00,3610.00,3610.00,3610.00,3610.00,10,0\r\n2006-01-19,18:30:00,3611.00,3613.00,3611.00,3612.00,754,0\r\n2006-01-19,18:31:00,3612.00,3613.00,3612.00,3613.00,727,0\r\n2006-01-19,18:32:00,3612.00,3613.00,3612.00,3612.00,550,0\r\n2006-01-19,18:33:00,3612.00,3612.00,3611.00,3612.00,141,0\r\n2006-01-19,18:34:00,3611.00,3612.00,3611.00,3612.00,197,0\r\n2006-01-19,18:35:00,3612.00,3612.00,3612.00,3612.00,6,0\r\n2006-01-19,18:36:00,3612.00,3612.00,3611.00,3611.00,722,0\r\n2006-01-19,18:37:00,3611.00,3612.00,3611.00,3612.00,304,0\r\n2006-01-19,18:38:00,3611.00,3613.00,3611.00,3612.00,811,0\r\n2006-01-19,18:39:00,3612.00,3612.00,3612.00,3612.00,337,0\r\n2006-01-19,18:40:00,3612.00,3613.00,3612.00,3612.00,113,0\r\n2006-01-19,18:41:00,3612.00,3613.00,3612.00,3613.00,92,0\r\n2006-01-19,18:42:00,3612.00,3612.00,3612.00,3612.00,35,0\r\n2006-01-19,18:43:00,3612.00,3613.00,3612.00,3612.00,567,0\r\n2006-01-19,18:44:00,3612.00,3613.00,3612.00,3612.00,206,0\r\n2006-01-19,18:45:00,3612.00,3613.00,3612.00,3613.00,198,0\r\n2006-01-19,18:46:00,3613.00,3613.00,3612.00,3612.00,559,0\r\n2006-01-19,18:47:00,3612.00,3614.00,3612.00,3613.00,1103,0\r\n2006-01-19,18:48:00,3613.00,3614.00,3612.00,3613.00,991,0\r\n2006-01-19,18:49:00,3614.00,3614.00,3612.00,3612.00,69,0\r\n2006-01-19,18:50:00,3613.00,3613.00,3613.00,3613.00,2,0\r\n2006-01-19,18:51:00,3613.00,3614.00,3613.00,3613.00,415,0\r\n2006-01-19,18:52:00,3614.00,3615.00,3613.00,3614.00,2659,0\r\n2006-01-19,18:53:00,3614.00,3615.00,3614.00,3614.00,870,0\r\n2006-01-19,18:54:00,3615.00,3615.00,3613.00,3614.00,629,0\r\n2006-01-19,18:55:00,3614.00,3614.00,3613.00,3613.00,187,0\r\n2006-01-19,18:56:00,3614.00,3614.00,3613.00,3613.00,738,0\r\n2006-01-19,18:57:00,3613.00,3613.00,3613.00,3613.00,1,0\r\n2006-01-19,18:58:00,3613.00,3613.00,3613.00,3613.00,60,0\r\n2006-01-19,18:59:00,3614.00,3615.00,3613.00,3613.00,570,0\r\n2006-01-19,19:00:00,3614.00,3614.00,3614.00,3614.00,179,0\r\n2006-01-19,19:01:00,3614.00,3614.00,3613.00,3614.00,597,0\r\n2006-01-19,19:02:00,3614.00,3615.00,3614.00,3614.00,88,0\r\n2006-01-19,19:03:00,3615.00,3616.00,3615.00,3616.00,1536,0\r\n2006-01-19,19:04:00,3616.00,3616.00,3615.00,3615.00,1026,0\r\n2006-01-19,19:05:00,3615.00,3616.00,3614.00,3615.00,415,0\r\n2006-01-19,19:06:00,3615.00,3616.00,3615.00,3616.00,3,0\r\n2006-01-19,19:07:00,3615.00,3617.00,3615.00,3616.00,267,0\r\n2006-01-19,19:08:00,3616.00,3617.00,3616.00,3616.00,713,0\r\n2006-01-19,19:09:00,3616.00,3617.00,3616.00,3617.00,9,0\r\n2006-01-19,19:10:00,3617.00,3617.00,3615.00,3615.00,606,0\r\n2006-01-19,19:11:00,3616.00,3616.00,3615.00,3615.00,905,0\r\n2006-01-19,19:12:00,3615.00,3615.00,3614.00,3615.00,149,0\r\n2006-01-19,19:13:00,3615.00,3615.00,3615.00,3615.00,212,0\r\n2006-01-19,19:14:00,3615.00,3615.00,3615.00,3615.00,3,0\r\n2006-01-19,19:15:00,3615.00,3615.00,3615.00,3615.00,4,0\r\n2006-01-19,19:16:00,3615.00,3616.00,3615.00,3616.00,327,0\r\n2006-01-19,19:18:00,3615.00,3616.00,3615.00,3616.00,176,0\r\n2006-01-19,19:19:00,3616.00,3616.00,3616.00,3616.00,172,0\r\n2006-01-19,19:21:00,3616.00,3616.00,3615.00,3615.00,90,0\r\n2006-01-19,19:22:00,3615.00,3615.00,3614.00,3614.00,3,0\r\n2006-01-19,19:23:00,3615.00,3615.00,3615.00,3615.00,85,0\r\n2006-01-19,19:25:00,3616.00,3616.00,3616.00,3616.00,41,0\r\n2006-01-19,19:26:00,3616.00,3616.00,3616.00,3616.00,5,0\r\n2006-01-19,19:27:00,3616.00,3616.00,3616.00,3616.00,27,0\r\n2006-01-19,19:28:00,3616.00,3616.00,3615.00,3615.00,193,0\r\n2006-01-19,19:29:00,3615.00,3615.00,3614.00,3615.00,147,0\r\n2006-01-19,19:30:00,3615.00,3615.00,3615.00,3615.00,1,0\r\n2006-01-19,19:31:00,3616.00,3616.00,3615.00,3615.00,18,0\r\n2006-01-19,19:32:00,3616.00,3616.00,3616.00,3616.00,93,0\r\n2006-01-19,19:33:00,3616.00,3616.00,3615.00,3616.00,70,0\r\n2006-01-19,19:34:00,3616.00,3616.00,3616.00,3616.00,1,0\r\n2006-01-19,19:35:00,3616.00,3616.00,3616.00,3616.00,29,0\r\n2006-01-19,19:36:00,3616.00,3616.00,3616.00,3616.00,53,0\r\n2006-01-19,19:37:00,3615.00,3615.00,3615.00,3615.00,151,0\r\n2006-01-19,19:38:00,3616.00,3616.00,3615.00,3616.00,201,0\r\n2006-01-19,19:39:00,3616.00,3617.00,3616.00,3616.00,193,0\r\n2006-01-19,19:40:00,3616.00,3616.00,3616.00,3616.00,120,0\r\n2006-01-19,19:41:00,3617.00,3617.00,3616.00,3616.00,13,0\r\n2006-01-19,19:42:00,3617.00,3617.00,3617.00,3617.00,1221,0\r\n2006-01-19,19:43:00,3618.00,3618.00,3617.00,3617.00,294,0\r\n2006-01-19,19:44:00,3616.00,3617.00,3616.00,3617.00,269,0\r\n2006-01-19,19:45:00,3617.00,3617.00,3617.00,3617.00,207,0\r\n2006-01-19,19:46:00,3617.00,3618.00,3616.00,3618.00,157,0\r\n2006-01-19,19:47:00,3617.00,3618.00,3617.00,3618.00,167,0\r\n2006-01-19,19:48:00,3618.00,3618.00,3618.00,3618.00,202,0\r\n2006-01-19,19:49:00,3618.00,3618.00,3618.00,3618.00,136,0\r\n2006-01-19,19:50:00,3618.00,3619.00,3618.00,3618.00,388,0\r\n2006-01-19,19:51:00,3618.00,3618.00,3618.00,3618.00,473,0\r\n2006-01-19,19:52:00,3617.00,3617.00,3617.00,3617.00,82,0\r\n2006-01-19,19:53:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-19,19:54:00,3617.00,3617.00,3617.00,3617.00,157,0\r\n2006-01-19,19:55:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-19,19:56:00,3617.00,3618.00,3617.00,3618.00,352,0\r\n2006-01-19,19:57:00,3617.00,3618.00,3617.00,3617.00,53,0\r\n2006-01-19,19:58:00,3617.00,3618.00,3617.00,3617.00,72,0\r\n2006-01-19,19:59:00,3617.00,3618.00,3617.00,3617.00,102,0\r\n2006-01-19,20:00:00,3617.00,3617.00,3617.00,3617.00,162,0\r\n2006-01-19,20:01:00,3617.00,3617.00,3617.00,3617.00,105,0\r\n2006-01-19,20:02:00,3616.00,3616.00,3616.00,3616.00,200,0\r\n2006-01-19,20:03:00,3616.00,3616.00,3616.00,3616.00,100,0\r\n2006-01-19,20:04:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-19,20:05:00,3617.00,3617.00,3616.00,3617.00,177,0\r\n2006-01-19,20:06:00,3617.00,3617.00,3617.00,3617.00,191,0\r\n2006-01-19,20:07:00,3617.00,3617.00,3616.00,3616.00,196,0\r\n2006-01-19,20:08:00,3616.00,3616.00,3616.00,3616.00,239,0\r\n2006-01-19,20:09:00,3616.00,3617.00,3616.00,3617.00,175,0\r\n2006-01-19,20:10:00,3617.00,3617.00,3617.00,3617.00,45,0\r\n2006-01-19,20:11:00,3617.00,3617.00,3617.00,3617.00,1,0\r\n2006-01-19,20:12:00,3617.00,3617.00,3617.00,3617.00,201,0\r\n2006-01-19,20:13:00,3617.00,3617.00,3617.00,3617.00,106,0\r\n2006-01-19,20:15:00,3616.00,3616.00,3616.00,3616.00,2,0\r\n2006-01-19,20:16:00,3617.00,3617.00,3617.00,3617.00,87,0\r\n2006-01-19,20:17:00,3617.00,3617.00,3616.00,3616.00,70,0\r\n2006-01-19,20:19:00,3616.00,3617.00,3616.00,3617.00,154,0\r\n2006-01-19,20:21:00,3617.00,3617.00,3617.00,3617.00,5,0\r\n2006-01-19,20:22:00,3617.00,3617.00,3617.00,3617.00,3,0\r\n2006-01-19,20:23:00,3617.00,3617.00,3617.00,3617.00,396,0\r\n2006-01-19,20:24:00,3617.00,3617.00,3617.00,3617.00,58,0\r\n2006-01-19,20:25:00,3618.00,3618.00,3617.00,3617.00,51,0\r\n2006-01-19,20:26:00,3617.00,3617.00,3616.00,3616.00,308,0\r\n2006-01-19,20:27:00,3615.00,3615.00,3615.00,3615.00,100,0\r\n2006-01-19,20:28:00,3615.00,3615.00,3615.00,3615.00,50,0\r\n2006-01-19,20:30:00,3615.00,3615.00,3614.00,3615.00,205,0\r\n2006-01-19,20:31:00,3615.00,3616.00,3615.00,3616.00,199,0\r\n2006-01-19,20:32:00,3615.00,3615.00,3614.00,3614.00,237,0\r\n2006-01-19,20:33:00,3615.00,3615.00,3615.00,3615.00,60,0\r\n2006-01-19,20:34:00,3614.00,3614.00,3614.00,3614.00,420,0\r\n2006-01-19,20:35:00,3614.00,3614.00,3614.00,3614.00,4,0\r\n2006-01-19,20:36:00,3614.00,3615.00,3614.00,3615.00,84,0\r\n2006-01-19,20:37:00,3615.00,3615.00,3615.00,3615.00,18,0\r\n2006-01-19,20:38:00,3615.00,3615.00,3615.00,3615.00,115,0\r\n2006-01-19,20:39:00,3614.00,3614.00,3612.00,3613.00,571,0\r\n2006-01-19,20:40:00,3613.00,3613.00,3613.00,3613.00,244,0\r\n2006-01-19,20:41:00,3613.00,3613.00,3612.00,3612.00,151,0\r\n2006-01-19,20:42:00,3613.00,3613.00,3612.00,3613.00,72,0\r\n2006-01-19,20:43:00,3613.00,3613.00,3613.00,3613.00,30,0\r\n2006-01-19,20:45:00,3612.00,3612.00,3612.00,3612.00,83,0\r\n2006-01-19,20:46:00,3612.00,3612.00,3612.00,3612.00,51,0\r\n2006-01-19,20:47:00,3612.00,3612.00,3612.00,3612.00,10,0\r\n2006-01-19,20:48:00,3613.00,3613.00,3612.00,3612.00,65,0\r\n2006-01-19,20:50:00,3612.00,3612.00,3612.00,3612.00,5,0\r\n2006-01-19,20:51:00,3613.00,3613.00,3613.00,3613.00,65,0\r\n2006-01-19,20:52:00,3613.00,3613.00,3613.00,3613.00,59,0\r\n2006-01-19,20:55:00,3613.00,3613.00,3613.00,3613.00,64,0\r\n2006-01-19,20:57:00,3612.00,3612.00,3612.00,3612.00,5,0\r\n2006-01-19,20:58:00,3613.00,3614.00,3613.00,3614.00,197,0\r\n2006-01-19,20:59:00,3614.00,3615.00,3614.00,3615.00,228,0\r\n2006-01-19,21:00:00,3615.00,3615.00,3615.00,3615.00,40,0\r\n2006-01-19,21:01:00,3614.00,3614.00,3614.00,3614.00,47,0\r\n2006-01-19,21:02:00,3614.00,3614.00,3614.00,3614.00,25,0\r\n2006-01-19,21:03:00,3615.00,3615.00,3614.00,3614.00,2,0\r\n2006-01-19,21:04:00,3614.00,3615.00,3614.00,3614.00,21,0\r\n2006-01-19,21:06:00,3614.00,3614.00,3614.00,3614.00,57,0\r\n2006-01-19,21:07:00,3613.00,3613.00,3612.00,3612.00,111,0\r\n2006-01-19,21:08:00,3612.00,3612.00,3611.00,3611.00,22,0\r\n2006-01-19,21:09:00,3612.00,3612.00,3612.00,3612.00,58,0\r\n2006-01-19,21:10:00,3612.00,3612.00,3612.00,3612.00,34,0\r\n2006-01-19,21:11:00,3611.00,3611.00,3611.00,3611.00,259,0\r\n2006-01-19,21:12:00,3611.00,3612.00,3611.00,3612.00,127,0\r\n2006-01-19,21:13:00,3612.00,3612.00,3612.00,3612.00,6,0\r\n2006-01-19,21:14:00,3612.00,3612.00,3612.00,3612.00,113,0\r\n2006-01-19,21:15:00,3612.00,3613.00,3612.00,3613.00,61,0\r\n2006-01-19,21:16:00,3613.00,3613.00,3612.00,3612.00,73,0\r\n2006-01-19,21:17:00,3612.00,3612.00,3611.00,3612.00,24,0\r\n2006-01-19,21:19:00,3612.00,3612.00,3612.00,3612.00,23,0\r\n2006-01-19,21:20:00,3612.00,3612.00,3612.00,3612.00,17,0\r\n2006-01-19,21:21:00,3612.00,3613.00,3612.00,3612.00,15,0\r\n2006-01-19,21:22:00,3612.00,3612.00,3612.00,3612.00,12,0\r\n2006-01-19,21:24:00,3612.00,3613.00,3612.00,3613.00,70,0\r\n2006-01-19,21:25:00,3613.00,3613.00,3612.00,3612.00,31,0\r\n2006-01-19,21:26:00,3613.00,3613.00,3612.00,3612.00,10,0\r\n2006-01-19,21:27:00,3612.00,3612.00,3611.00,3612.00,51,0\r\n2006-01-19,21:28:00,3611.00,3612.00,3611.00,3612.00,57,0\r\n2006-01-19,21:29:00,3612.00,3612.00,3611.00,3611.00,34,0\r\n2006-01-19,21:30:00,3612.00,3612.00,3612.00,3612.00,8,0\r\n2006-01-19,21:31:00,3612.00,3612.00,3611.00,3612.00,40,0\r\n2006-01-19,21:32:00,3611.00,3611.00,3611.00,3611.00,34,0\r\n2006-01-19,21:33:00,3611.00,3612.00,3611.00,3611.00,33,0\r\n2006-01-19,21:34:00,3612.00,3612.00,3611.00,3612.00,31,0\r\n2006-01-19,21:35:00,3611.00,3611.00,3611.00,3611.00,55,0\r\n2006-01-19,21:36:00,3611.00,3611.00,3611.00,3611.00,15,0\r\n2006-01-19,21:37:00,3611.00,3612.00,3611.00,3612.00,81,0\r\n2006-01-19,21:38:00,3612.00,3613.00,3612.00,3613.00,115,0\r\n2006-01-19,21:39:00,3612.00,3612.00,3612.00,3612.00,20,0\r\n2006-01-19,21:40:00,3611.00,3611.00,3611.00,3611.00,73,0\r\n2006-01-19,21:41:00,3611.00,3612.00,3611.00,3611.00,72,0\r\n2006-01-19,21:42:00,3612.00,3612.00,3611.00,3611.00,29,0\r\n2006-01-19,21:43:00,3612.00,3612.00,3611.00,3611.00,27,0\r\n2006-01-19,21:44:00,3611.00,3611.00,3611.00,3611.00,25,0\r\n2006-01-19,21:45:00,3611.00,3611.00,3611.00,3611.00,25,0\r\n2006-01-19,21:46:00,3611.00,3611.00,3611.00,3611.00,42,0\r\n2006-01-19,21:47:00,3611.00,3612.00,3611.00,3611.00,46,0\r\n2006-01-19,21:48:00,3610.00,3611.00,3610.00,3611.00,41,0\r\n2006-01-19,21:49:00,3611.00,3611.00,3610.00,3610.00,72,0\r\n2006-01-19,21:50:00,3611.00,3611.00,3610.00,3610.00,74,0\r\n2006-01-19,21:51:00,3610.00,3611.00,3610.00,3611.00,38,0\r\n2006-01-19,21:52:00,3611.00,3611.00,3611.00,3611.00,123,0\r\n2006-01-19,21:53:00,3612.00,3612.00,3611.00,3611.00,56,0\r\n2006-01-19,21:54:00,3611.00,3612.00,3611.00,3612.00,29,0\r\n2006-01-19,21:55:00,3612.00,3612.00,3611.00,3612.00,57,0\r\n2006-01-19,21:56:00,3612.00,3612.00,3611.00,3612.00,75,0\r\n2006-01-19,21:57:00,3611.00,3612.00,3610.00,3611.00,49,0\r\n2006-01-19,21:58:00,3611.00,3612.00,3610.00,3611.00,78,0\r\n2006-01-19,21:59:00,3611.00,3611.00,3610.00,3610.00,323,0\r\n2006-01-19,22:00:00,3610.00,3611.00,3609.00,3610.00,334,0\r\n2006-01-20,09:01:00,3607.00,3610.00,3607.00,3610.00,6382,0\r\n2006-01-20,09:02:00,3610.00,3612.00,3609.00,3611.00,3216,0\r\n2006-01-20,09:03:00,3612.00,3613.00,3611.00,3612.00,1294,0\r\n2006-01-20,09:04:00,3612.00,3613.00,3611.00,3612.00,1907,0\r\n2006-01-20,09:05:00,3612.00,3614.00,3611.00,3613.00,2147,0\r\n2006-01-20,09:06:00,3613.00,3614.00,3612.00,3613.00,1129,0\r\n2006-01-20,09:07:00,3613.00,3614.00,3612.00,3613.00,907,0\r\n2006-01-20,09:08:00,3613.00,3617.00,3613.00,3616.00,3101,0\r\n2006-01-20,09:09:00,3616.00,3617.00,3615.00,3617.00,1847,0\r\n2006-01-20,09:10:00,3616.00,3618.00,3616.00,3617.00,2422,0\r\n2006-01-20,09:11:00,3617.00,3617.00,3616.00,3616.00,896,0\r\n2006-01-20,09:12:00,3616.00,3618.00,3616.00,3617.00,1201,0\r\n2006-01-20,09:13:00,3617.00,3617.00,3616.00,3617.00,278,0\r\n2006-01-20,09:14:00,3616.00,3617.00,3615.00,3617.00,2338,0\r\n2006-01-20,09:15:00,3617.00,3617.00,3616.00,3617.00,348,0\r\n2006-01-20,09:16:00,3617.00,3617.00,3616.00,3617.00,832,0\r\n2006-01-20,09:17:00,3617.00,3617.00,3615.00,3615.00,1678,0\r\n2006-01-20,09:18:00,3616.00,3618.00,3615.00,3618.00,1947,0\r\n2006-01-20,09:19:00,3617.00,3619.00,3617.00,3618.00,1761,0\r\n2006-01-20,09:20:00,3617.00,3618.00,3615.00,3616.00,910,0\r\n2006-01-20,09:21:00,3615.00,3616.00,3615.00,3615.00,545,0\r\n2006-01-20,09:22:00,3615.00,3616.00,3615.00,3615.00,859,0\r\n2006-01-20,09:23:00,3616.00,3616.00,3615.00,3615.00,326,0\r\n2006-01-20,09:24:00,3615.00,3616.00,3615.00,3615.00,82,0\r\n2006-01-20,09:25:00,3616.00,3617.00,3615.00,3617.00,499,0\r\n2006-01-20,09:26:00,3616.00,3617.00,3616.00,3616.00,573,0\r\n2006-01-20,09:27:00,3616.00,3618.00,3616.00,3616.00,1299,0\r\n2006-01-20,09:28:00,3615.00,3616.00,3615.00,3615.00,833,0\r\n2006-01-20,09:29:00,3615.00,3615.00,3614.00,3614.00,611,0\r\n2006-01-20,09:30:00,3614.00,3615.00,3613.00,3614.00,764,0\r\n2006-01-20,09:31:00,3614.00,3614.00,3614.00,3614.00,535,0\r\n2006-01-20,09:32:00,3614.00,3615.00,3613.00,3614.00,2361,0\r\n2006-01-20,09:33:00,3614.00,3615.00,3614.00,3614.00,350,0\r\n2006-01-20,09:34:00,3614.00,3616.00,3614.00,3615.00,1048,0\r\n2006-01-20,09:35:00,3615.00,3615.00,3615.00,3615.00,236,0\r\n2006-01-20,09:36:00,3615.00,3616.00,3615.00,3616.00,520,0\r\n2006-01-20,09:37:00,3616.00,3617.00,3615.00,3615.00,716,0\r\n2006-01-20,09:38:00,3616.00,3617.00,3614.00,3614.00,896,0\r\n2006-01-20,09:39:00,3614.00,3615.00,3613.00,3613.00,378,0\r\n2006-01-20,09:40:00,3614.00,3615.00,3614.00,3615.00,339,0\r\n2006-01-20,09:41:00,3614.00,3615.00,3614.00,3615.00,2505,0\r\n2006-01-20,09:42:00,3615.00,3616.00,3615.00,3615.00,715,0\r\n2006-01-20,09:43:00,3615.00,3616.00,3614.00,3614.00,1617,0\r\n2006-01-20,09:44:00,3614.00,3615.00,3614.00,3615.00,202,0\r\n2006-01-20,09:45:00,3615.00,3616.00,3615.00,3616.00,295,0\r\n2006-01-20,09:46:00,3615.00,3616.00,3615.00,3615.00,194,0\r\n2006-01-20,09:47:00,3616.00,3616.00,3615.00,3615.00,110,0\r\n2006-01-20,09:48:00,3616.00,3618.00,3616.00,3617.00,2657,0\r\n2006-01-20,09:49:00,3617.00,3618.00,3617.00,3617.00,920,0\r\n2006-01-20,09:50:00,3617.00,3619.00,3616.00,3618.00,1282,0\r\n2006-01-20,09:51:00,3617.00,3619.00,3617.00,3618.00,838,0\r\n2006-01-20,09:52:00,3618.00,3619.00,3618.00,3618.00,2321,0\r\n2006-01-20,09:53:00,3619.00,3620.00,3618.00,3620.00,1497,0\r\n2006-01-20,09:54:00,3620.00,3620.00,3619.00,3619.00,1300,0\r\n2006-01-20,09:55:00,3620.00,3620.00,3618.00,3620.00,4895,0\r\n2006-01-20,09:56:00,3619.00,3622.00,3619.00,3620.00,1854,0\r\n2006-01-20,09:57:00,3621.00,3622.00,3620.00,3620.00,4930,0\r\n2006-01-20,09:58:00,3620.00,3621.00,3620.00,3621.00,184,0\r\n2006-01-20,09:59:00,3621.00,3621.00,3620.00,3621.00,138,0\r\n2006-01-20,10:00:00,3621.00,3621.00,3620.00,3621.00,187,0\r\n2006-01-20,10:01:00,3621.00,3621.00,3618.00,3619.00,3758,0\r\n2006-01-20,10:02:00,3619.00,3620.00,3618.00,3619.00,945,0\r\n2006-01-20,10:03:00,3619.00,3620.00,3618.00,3619.00,462,0\r\n2006-01-20,10:04:00,3619.00,3619.00,3618.00,3619.00,637,0\r\n2006-01-20,10:05:00,3618.00,3620.00,3618.00,3618.00,985,0\r\n2006-01-20,10:06:00,3619.00,3619.00,3617.00,3618.00,2814,0\r\n2006-01-20,10:07:00,3618.00,3619.00,3618.00,3619.00,505,0\r\n2006-01-20,10:08:00,3619.00,3619.00,3618.00,3619.00,807,0\r\n2006-01-20,10:09:00,3619.00,3619.00,3618.00,3618.00,5,0\r\n2006-01-20,10:10:00,3618.00,3619.00,3618.00,3618.00,591,0\r\n2006-01-20,10:11:00,3619.00,3619.00,3618.00,3618.00,77,0\r\n2006-01-20,10:12:00,3619.00,3619.00,3617.00,3618.00,1300,0\r\n2006-01-20,10:13:00,3618.00,3618.00,3617.00,3617.00,679,0\r\n2006-01-20,10:14:00,3618.00,3618.00,3617.00,3618.00,14,0\r\n2006-01-20,10:15:00,3617.00,3618.00,3617.00,3617.00,1711,0\r\n2006-01-20,10:16:00,3617.00,3617.00,3616.00,3616.00,491,0\r\n2006-01-20,10:17:00,3616.00,3617.00,3615.00,3616.00,3588,0\r\n2006-01-20,10:18:00,3616.00,3617.00,3615.00,3616.00,415,0\r\n2006-01-20,10:19:00,3616.00,3617.00,3616.00,3617.00,121,0\r\n2006-01-20,10:20:00,3617.00,3617.00,3616.00,3616.00,94,0\r\n2006-01-20,10:21:00,3616.00,3618.00,3616.00,3618.00,1244,0\r\n2006-01-20,10:22:00,3617.00,3618.00,3617.00,3618.00,77,0\r\n2006-01-20,10:23:00,3618.00,3618.00,3618.00,3618.00,501,0\r\n2006-01-20,10:24:00,3618.00,3618.00,3618.00,3618.00,1931,0\r\n2006-01-20,10:25:00,3619.00,3619.00,3618.00,3618.00,559,0\r\n2006-01-20,10:26:00,3618.00,3618.00,3617.00,3617.00,464,0\r\n2006-01-20,10:27:00,3617.00,3617.00,3616.00,3617.00,538,0\r\n2006-01-20,10:28:00,3618.00,3618.00,3616.00,3617.00,237,0\r\n2006-01-20,10:29:00,3617.00,3618.00,3616.00,3617.00,351,0\r\n2006-01-20,10:30:00,3618.00,3618.00,3617.00,3617.00,746,0\r\n2006-01-20,10:31:00,3618.00,3618.00,3616.00,3618.00,3300,0\r\n2006-01-20,10:32:00,3618.00,3618.00,3617.00,3618.00,214,0\r\n2006-01-20,10:33:00,3618.00,3618.00,3617.00,3617.00,1010,0\r\n2006-01-20,10:34:00,3618.00,3618.00,3617.00,3618.00,292,0\r\n2006-01-20,10:35:00,3618.00,3618.00,3618.00,3618.00,108,0\r\n2006-01-20,10:36:00,3618.00,3618.00,3618.00,3618.00,262,0\r\n2006-01-20,10:37:00,3618.00,3618.00,3618.00,3618.00,250,0\r\n2006-01-20,10:38:00,3618.00,3619.00,3618.00,3619.00,570,0\r\n2006-01-20,10:39:00,3619.00,3619.00,3618.00,3618.00,217,0\r\n2006-01-20,10:40:00,3619.00,3619.00,3618.00,3618.00,594,0\r\n2006-01-20,10:41:00,3619.00,3619.00,3618.00,3619.00,59,0\r\n2006-01-20,10:42:00,3618.00,3619.00,3618.00,3618.00,1131,0\r\n2006-01-20,10:43:00,3619.00,3619.00,3619.00,3619.00,74,0\r\n2006-01-20,10:44:00,3619.00,3619.00,3618.00,3618.00,1484,0\r\n2006-01-20,10:45:00,3618.00,3618.00,3618.00,3618.00,506,0\r\n2006-01-20,10:46:00,3617.00,3618.00,3617.00,3618.00,4,0\r\n2006-01-20,10:47:00,3618.00,3618.00,3616.00,3616.00,1526,0\r\n2006-01-20,10:48:00,3617.00,3618.00,3617.00,3618.00,604,0\r\n2006-01-20,10:49:00,3617.00,3617.00,3617.00,3617.00,49,0\r\n2006-01-20,10:50:00,3617.00,3617.00,3617.00,3617.00,133,0\r\n2006-01-20,10:51:00,3617.00,3617.00,3617.00,3617.00,3,0\r\n2006-01-20,10:52:00,3617.00,3617.00,3617.00,3617.00,93,0\r\n2006-01-20,10:53:00,3618.00,3618.00,3617.00,3617.00,356,0\r\n2006-01-20,10:54:00,3618.00,3618.00,3617.00,3617.00,33,0\r\n2006-01-20,10:55:00,3617.00,3617.00,3617.00,3617.00,17,0\r\n2006-01-20,10:56:00,3618.00,3618.00,3617.00,3618.00,165,0\r\n2006-01-20,10:57:00,3617.00,3618.00,3617.00,3618.00,32,0\r\n2006-01-20,10:58:00,3617.00,3617.00,3616.00,3617.00,935,0\r\n2006-01-20,10:59:00,3617.00,3618.00,3616.00,3617.00,1051,0\r\n2006-01-20,11:00:00,3617.00,3617.00,3616.00,3616.00,1231,0\r\n2006-01-20,11:01:00,3617.00,3617.00,3616.00,3616.00,219,0\r\n2006-01-20,11:02:00,3616.00,3616.00,3613.00,3614.00,2947,0\r\n2006-01-20,11:03:00,3614.00,3614.00,3613.00,3614.00,3071,0\r\n2006-01-20,11:04:00,3613.00,3614.00,3613.00,3613.00,496,0\r\n2006-01-20,11:05:00,3613.00,3614.00,3613.00,3613.00,160,0\r\n2006-01-20,11:06:00,3613.00,3613.00,3612.00,3613.00,905,0\r\n2006-01-20,11:07:00,3614.00,3614.00,3612.00,3613.00,920,0\r\n2006-01-20,11:08:00,3613.00,3613.00,3612.00,3612.00,597,0\r\n2006-01-20,11:09:00,3613.00,3614.00,3613.00,3614.00,483,0\r\n2006-01-20,11:10:00,3613.00,3613.00,3613.00,3613.00,1324,0\r\n2006-01-20,11:11:00,3612.00,3613.00,3609.00,3610.00,3088,0\r\n2006-01-20,11:12:00,3610.00,3611.00,3608.00,3609.00,3452,0\r\n2006-01-20,11:13:00,3609.00,3610.00,3609.00,3609.00,2025,0\r\n2006-01-20,11:14:00,3609.00,3610.00,3609.00,3610.00,821,0\r\n2006-01-20,11:15:00,3610.00,3612.00,3609.00,3611.00,1678,0\r\n2006-01-20,11:16:00,3610.00,3612.00,3610.00,3612.00,1912,0\r\n2006-01-20,11:17:00,3612.00,3612.00,3611.00,3611.00,526,0\r\n2006-01-20,11:18:00,3611.00,3612.00,3611.00,3611.00,642,0\r\n2006-01-20,11:19:00,3611.00,3612.00,3610.00,3611.00,1007,0\r\n2006-01-20,11:20:00,3611.00,3611.00,3610.00,3610.00,206,0\r\n2006-01-20,11:21:00,3611.00,3612.00,3610.00,3612.00,466,0\r\n2006-01-20,11:22:00,3611.00,3612.00,3611.00,3611.00,892,0\r\n2006-01-20,11:23:00,3611.00,3611.00,3610.00,3610.00,2597,0\r\n2006-01-20,11:24:00,3610.00,3611.00,3609.00,3609.00,220,0\r\n2006-01-20,11:25:00,3609.00,3609.00,3607.00,3607.00,1866,0\r\n2006-01-20,11:26:00,3607.00,3608.00,3607.00,3608.00,3130,0\r\n2006-01-20,11:27:00,3607.00,3608.00,3607.00,3607.00,1570,0\r\n2006-01-20,11:28:00,3607.00,3608.00,3607.00,3608.00,313,0\r\n2006-01-20,11:29:00,3608.00,3609.00,3608.00,3609.00,1137,0\r\n2006-01-20,11:30:00,3609.00,3609.00,3608.00,3608.00,140,0\r\n2006-01-20,11:31:00,3609.00,3609.00,3608.00,3608.00,2735,0\r\n2006-01-20,11:32:00,3608.00,3608.00,3606.00,3606.00,1351,0\r\n2006-01-20,11:33:00,3607.00,3608.00,3606.00,3608.00,1445,0\r\n2006-01-20,11:34:00,3607.00,3608.00,3607.00,3608.00,170,0\r\n2006-01-20,11:35:00,3608.00,3608.00,3608.00,3608.00,575,0\r\n2006-01-20,11:36:00,3608.00,3609.00,3607.00,3608.00,1512,0\r\n2006-01-20,11:37:00,3607.00,3608.00,3607.00,3608.00,397,0\r\n2006-01-20,11:38:00,3607.00,3609.00,3607.00,3609.00,308,0\r\n2006-01-20,11:39:00,3608.00,3609.00,3608.00,3609.00,183,0\r\n2006-01-20,11:40:00,3608.00,3609.00,3608.00,3609.00,275,0\r\n2006-01-20,11:41:00,3608.00,3609.00,3608.00,3608.00,1376,0\r\n2006-01-20,11:42:00,3609.00,3610.00,3609.00,3609.00,2017,0\r\n2006-01-20,11:43:00,3609.00,3610.00,3608.00,3608.00,1085,0\r\n2006-01-20,11:44:00,3608.00,3611.00,3607.00,3610.00,2149,0\r\n2006-01-20,11:45:00,3611.00,3611.00,3610.00,3611.00,768,0\r\n2006-01-20,11:46:00,3611.00,3611.00,3610.00,3611.00,1734,0\r\n2006-01-20,11:47:00,3611.00,3613.00,3611.00,3611.00,3298,0\r\n2006-01-20,11:48:00,3612.00,3612.00,3611.00,3612.00,1000,0\r\n2006-01-20,11:49:00,3612.00,3612.00,3611.00,3611.00,1104,0\r\n2006-01-20,11:50:00,3611.00,3612.00,3611.00,3611.00,1012,0\r\n2006-01-20,11:51:00,3612.00,3613.00,3611.00,3612.00,6269,0\r\n2006-01-20,11:52:00,3612.00,3617.00,3612.00,3615.00,8113,0\r\n2006-01-20,11:53:00,3614.00,3615.00,3612.00,3614.00,3271,0\r\n2006-01-20,11:54:00,3614.00,3615.00,3613.00,3614.00,5922,0\r\n2006-01-20,11:55:00,3613.00,3614.00,3613.00,3613.00,481,0\r\n2006-01-20,11:56:00,3613.00,3613.00,3611.00,3611.00,1530,0\r\n2006-01-20,11:57:00,3612.00,3612.00,3610.00,3611.00,739,0\r\n2006-01-20,11:58:00,3611.00,3611.00,3609.00,3609.00,1581,0\r\n2006-01-20,11:59:00,3609.00,3610.00,3608.00,3608.00,1194,0\r\n2006-01-20,12:00:00,3608.00,3609.00,3606.00,3607.00,3261,0\r\n2006-01-20,12:01:00,3606.00,3609.00,3606.00,3608.00,6511,0\r\n2006-01-20,12:02:00,3607.00,3609.00,3607.00,3608.00,1746,0\r\n2006-01-20,12:03:00,3608.00,3608.00,3607.00,3608.00,673,0\r\n2006-01-20,12:04:00,3608.00,3609.00,3608.00,3608.00,430,0\r\n2006-01-20,12:05:00,3609.00,3609.00,3606.00,3607.00,2361,0\r\n2006-01-20,12:06:00,3607.00,3608.00,3605.00,3607.00,2380,0\r\n2006-01-20,12:07:00,3606.00,3607.00,3605.00,3606.00,1207,0\r\n2006-01-20,12:08:00,3606.00,3607.00,3605.00,3606.00,1193,0\r\n2006-01-20,12:09:00,3606.00,3606.00,3606.00,3606.00,405,0\r\n2006-01-20,12:10:00,3606.00,3606.00,3604.00,3606.00,3594,0\r\n2006-01-20,12:11:00,3606.00,3606.00,3605.00,3605.00,1500,0\r\n2006-01-20,12:12:00,3605.00,3606.00,3604.00,3604.00,3303,0\r\n2006-01-20,12:13:00,3605.00,3605.00,3604.00,3604.00,1154,0\r\n2006-01-20,12:14:00,3605.00,3605.00,3605.00,3605.00,151,0\r\n2006-01-20,12:15:00,3605.00,3605.00,3605.00,3605.00,561,0\r\n2006-01-20,12:16:00,3605.00,3605.00,3605.00,3605.00,890,0\r\n2006-01-20,12:17:00,3605.00,3606.00,3604.00,3605.00,425,0\r\n2006-01-20,12:18:00,3605.00,3606.00,3604.00,3605.00,392,0\r\n2006-01-20,12:19:00,3605.00,3605.00,3605.00,3605.00,85,0\r\n2006-01-20,12:20:00,3605.00,3605.00,3604.00,3605.00,393,0\r\n2006-01-20,12:21:00,3605.00,3605.00,3605.00,3605.00,725,0\r\n2006-01-20,12:22:00,3605.00,3606.00,3605.00,3605.00,1225,0\r\n2006-01-20,12:23:00,3605.00,3606.00,3605.00,3606.00,431,0\r\n2006-01-20,12:24:00,3606.00,3607.00,3606.00,3606.00,1897,0\r\n2006-01-20,12:25:00,3606.00,3607.00,3606.00,3607.00,594,0\r\n2006-01-20,12:26:00,3606.00,3607.00,3606.00,3607.00,321,0\r\n2006-01-20,12:27:00,3606.00,3606.00,3606.00,3606.00,353,0\r\n2006-01-20,12:28:00,3606.00,3606.00,3605.00,3605.00,381,0\r\n2006-01-20,12:29:00,3605.00,3605.00,3604.00,3605.00,1105,0\r\n2006-01-20,12:30:00,3605.00,3605.00,3605.00,3605.00,942,0\r\n2006-01-20,12:31:00,3604.00,3606.00,3604.00,3606.00,999,0\r\n2006-01-20,12:32:00,3606.00,3606.00,3606.00,3606.00,552,0\r\n2006-01-20,12:33:00,3605.00,3606.00,3605.00,3606.00,427,0\r\n2006-01-20,12:34:00,3606.00,3607.00,3606.00,3607.00,142,0\r\n2006-01-20,12:35:00,3607.00,3607.00,3605.00,3606.00,1106,0\r\n2006-01-20,12:36:00,3606.00,3607.00,3606.00,3606.00,206,0\r\n2006-01-20,12:37:00,3605.00,3605.00,3604.00,3604.00,769,0\r\n2006-01-20,12:38:00,3605.00,3605.00,3603.00,3604.00,1788,0\r\n2006-01-20,12:39:00,3604.00,3604.00,3602.00,3602.00,870,0\r\n2006-01-20,12:40:00,3602.00,3604.00,3602.00,3603.00,2140,0\r\n2006-01-20,12:41:00,3603.00,3604.00,3603.00,3604.00,26,0\r\n2006-01-20,12:42:00,3604.00,3604.00,3603.00,3604.00,765,0\r\n2006-01-20,12:43:00,3604.00,3604.00,3604.00,3604.00,10,0\r\n2006-01-20,12:44:00,3603.00,3604.00,3602.00,3604.00,863,0\r\n2006-01-20,12:45:00,3604.00,3604.00,3603.00,3604.00,1699,0\r\n2006-01-20,12:46:00,3603.00,3604.00,3602.00,3603.00,448,0\r\n2006-01-20,12:47:00,3602.00,3603.00,3602.00,3602.00,223,0\r\n2006-01-20,12:48:00,3603.00,3603.00,3602.00,3602.00,725,0\r\n2006-01-20,12:49:00,3603.00,3603.00,3603.00,3603.00,556,0\r\n2006-01-20,12:50:00,3603.00,3603.00,3603.00,3603.00,223,0\r\n2006-01-20,12:51:00,3603.00,3604.00,3603.00,3603.00,709,0\r\n2006-01-20,12:52:00,3602.00,3602.00,3601.00,3602.00,1050,0\r\n2006-01-20,12:53:00,3602.00,3602.00,3602.00,3602.00,427,0\r\n2006-01-20,12:54:00,3602.00,3603.00,3602.00,3603.00,433,0\r\n2006-01-20,12:55:00,3603.00,3604.00,3603.00,3603.00,524,0\r\n2006-01-20,12:56:00,3603.00,3603.00,3602.00,3602.00,59,0\r\n2006-01-20,12:57:00,3602.00,3602.00,3602.00,3602.00,694,0\r\n2006-01-20,12:58:00,3602.00,3603.00,3602.00,3602.00,385,0\r\n2006-01-20,12:59:00,3602.00,3603.00,3602.00,3603.00,379,0\r\n2006-01-20,13:00:00,3602.00,3602.00,3602.00,3602.00,23,0\r\n2006-01-20,13:01:00,3602.00,3603.00,3602.00,3603.00,1412,0\r\n2006-01-20,13:02:00,3602.00,3603.00,3601.00,3602.00,1438,0\r\n2006-01-20,13:03:00,3602.00,3602.00,3601.00,3601.00,1085,0\r\n2006-01-20,13:04:00,3601.00,3602.00,3601.00,3601.00,345,0\r\n2006-01-20,13:05:00,3602.00,3602.00,3601.00,3601.00,1140,0\r\n2006-01-20,13:06:00,3600.00,3602.00,3600.00,3601.00,1852,0\r\n2006-01-20,13:07:00,3601.00,3602.00,3600.00,3600.00,5495,0\r\n2006-01-20,13:08:00,3600.00,3601.00,3599.00,3599.00,725,0\r\n2006-01-20,13:09:00,3599.00,3599.00,3597.00,3597.00,3112,0\r\n2006-01-20,13:10:00,3597.00,3599.00,3597.00,3598.00,1884,0\r\n2006-01-20,13:11:00,3598.00,3599.00,3598.00,3599.00,1902,0\r\n2006-01-20,13:12:00,3599.00,3599.00,3598.00,3599.00,141,0\r\n2006-01-20,13:13:00,3598.00,3599.00,3597.00,3598.00,2072,0\r\n2006-01-20,13:14:00,3598.00,3599.00,3598.00,3599.00,574,0\r\n2006-01-20,13:15:00,3599.00,3599.00,3599.00,3599.00,759,0\r\n2006-01-20,13:16:00,3599.00,3599.00,3598.00,3599.00,498,0\r\n2006-01-20,13:17:00,3599.00,3599.00,3598.00,3598.00,232,0\r\n2006-01-20,13:18:00,3598.00,3599.00,3598.00,3598.00,166,0\r\n2006-01-20,13:19:00,3599.00,3599.00,3598.00,3598.00,766,0\r\n2006-01-20,13:20:00,3599.00,3600.00,3598.00,3600.00,2018,0\r\n2006-01-20,13:21:00,3600.00,3600.00,3599.00,3600.00,268,0\r\n2006-01-20,13:22:00,3599.00,3600.00,3599.00,3600.00,250,0\r\n2006-01-20,13:23:00,3600.00,3601.00,3599.00,3601.00,1504,0\r\n2006-01-20,13:24:00,3600.00,3601.00,3600.00,3600.00,346,0\r\n2006-01-20,13:25:00,3600.00,3600.00,3600.00,3600.00,524,0\r\n2006-01-20,13:26:00,3600.00,3601.00,3600.00,3600.00,891,0\r\n2006-01-20,13:28:00,3600.00,3600.00,3600.00,3600.00,42,0\r\n2006-01-20,13:29:00,3600.00,3600.00,3600.00,3600.00,218,0\r\n2006-01-20,13:30:00,3600.00,3600.00,3600.00,3600.00,283,0\r\n2006-01-20,13:31:00,3601.00,3601.00,3600.00,3601.00,903,0\r\n2006-01-20,13:32:00,3600.00,3601.00,3600.00,3600.00,505,0\r\n2006-01-20,13:34:00,3601.00,3601.00,3601.00,3601.00,281,0\r\n2006-01-20,13:35:00,3601.00,3601.00,3601.00,3601.00,2,0\r\n2006-01-20,13:36:00,3601.00,3601.00,3601.00,3601.00,324,0\r\n2006-01-20,13:37:00,3601.00,3601.00,3601.00,3601.00,35,0\r\n2006-01-20,13:38:00,3601.00,3601.00,3601.00,3601.00,44,0\r\n2006-01-20,13:39:00,3601.00,3601.00,3600.00,3601.00,145,0\r\n2006-01-20,13:40:00,3601.00,3601.00,3600.00,3600.00,484,0\r\n2006-01-20,13:41:00,3600.00,3600.00,3600.00,3600.00,64,0\r\n2006-01-20,13:42:00,3600.00,3600.00,3600.00,3600.00,66,0\r\n2006-01-20,13:43:00,3599.00,3600.00,3599.00,3600.00,90,0\r\n2006-01-20,13:44:00,3600.00,3602.00,3600.00,3601.00,840,0\r\n2006-01-20,13:45:00,3601.00,3601.00,3601.00,3601.00,743,0\r\n2006-01-20,13:46:00,3601.00,3601.00,3601.00,3601.00,10,0\r\n2006-01-20,13:47:00,3601.00,3601.00,3600.00,3600.00,5,0\r\n2006-01-20,13:48:00,3600.00,3601.00,3600.00,3600.00,460,0\r\n2006-01-20,13:49:00,3599.00,3600.00,3599.00,3600.00,387,0\r\n2006-01-20,13:50:00,3601.00,3601.00,3601.00,3601.00,556,0\r\n2006-01-20,13:51:00,3601.00,3602.00,3601.00,3601.00,852,0\r\n2006-01-20,13:52:00,3601.00,3601.00,3601.00,3601.00,77,0\r\n2006-01-20,13:53:00,3601.00,3601.00,3601.00,3601.00,107,0\r\n2006-01-20,13:54:00,3601.00,3602.00,3601.00,3601.00,7,0\r\n2006-01-20,13:55:00,3601.00,3601.00,3601.00,3601.00,1,0\r\n2006-01-20,13:56:00,3602.00,3602.00,3601.00,3601.00,94,0\r\n2006-01-20,13:57:00,3601.00,3602.00,3601.00,3602.00,82,0\r\n2006-01-20,13:58:00,3601.00,3601.00,3601.00,3601.00,11,0\r\n2006-01-20,13:59:00,3602.00,3603.00,3602.00,3602.00,883,0\r\n2006-01-20,14:00:00,3602.00,3602.00,3602.00,3602.00,75,0\r\n2006-01-20,14:01:00,3602.00,3603.00,3602.00,3602.00,112,0\r\n2006-01-20,14:02:00,3603.00,3603.00,3602.00,3603.00,146,0\r\n2006-01-20,14:03:00,3603.00,3603.00,3603.00,3603.00,120,0\r\n2006-01-20,14:04:00,3603.00,3604.00,3602.00,3603.00,730,0\r\n2006-01-20,14:06:00,3603.00,3603.00,3603.00,3603.00,2,0\r\n2006-01-20,14:07:00,3603.00,3603.00,3603.00,3603.00,2000,0\r\n2006-01-20,14:08:00,3602.00,3603.00,3602.00,3603.00,6,0\r\n2006-01-20,14:09:00,3603.00,3603.00,3602.00,3603.00,14,0\r\n2006-01-20,14:10:00,3603.00,3603.00,3603.00,3603.00,32,0\r\n2006-01-20,14:11:00,3602.00,3603.00,3602.00,3603.00,267,0\r\n2006-01-20,14:12:00,3603.00,3603.00,3603.00,3603.00,209,0\r\n2006-01-20,14:13:00,3603.00,3603.00,3602.00,3602.00,2,0\r\n2006-01-20,14:14:00,3602.00,3603.00,3602.00,3602.00,32,0\r\n2006-01-20,14:15:00,3603.00,3603.00,3603.00,3603.00,6,0\r\n2006-01-20,14:16:00,3603.00,3603.00,3602.00,3602.00,922,0\r\n2006-01-20,14:17:00,3602.00,3603.00,3602.00,3602.00,360,0\r\n2006-01-20,14:18:00,3602.00,3603.00,3602.00,3603.00,163,0\r\n2006-01-20,14:19:00,3603.00,3603.00,3603.00,3603.00,261,0\r\n2006-01-20,14:20:00,3603.00,3603.00,3603.00,3603.00,26,0\r\n2006-01-20,14:21:00,3602.00,3604.00,3602.00,3604.00,395,0\r\n2006-01-20,14:22:00,3603.00,3604.00,3603.00,3604.00,46,0\r\n2006-01-20,14:23:00,3603.00,3603.00,3603.00,3603.00,1433,0\r\n2006-01-20,14:24:00,3604.00,3604.00,3603.00,3603.00,12,0\r\n2006-01-20,14:25:00,3603.00,3603.00,3602.00,3602.00,248,0\r\n2006-01-20,14:26:00,3602.00,3602.00,3602.00,3602.00,103,0\r\n2006-01-20,14:27:00,3602.00,3602.00,3602.00,3602.00,1092,0\r\n2006-01-20,14:28:00,3602.00,3602.00,3601.00,3602.00,108,0\r\n2006-01-20,14:29:00,3602.00,3602.00,3601.00,3601.00,57,0\r\n2006-01-20,14:30:00,3601.00,3602.00,3601.00,3601.00,26,0\r\n2006-01-20,14:31:00,3602.00,3602.00,3601.00,3602.00,34,0\r\n2006-01-20,14:32:00,3602.00,3602.00,3601.00,3602.00,520,0\r\n2006-01-20,14:33:00,3602.00,3602.00,3601.00,3601.00,106,0\r\n2006-01-20,14:34:00,3601.00,3602.00,3601.00,3601.00,4408,0\r\n2006-01-20,14:35:00,3601.00,3601.00,3601.00,3601.00,4807,0\r\n2006-01-20,14:36:00,3601.00,3602.00,3601.00,3601.00,498,0\r\n2006-01-20,14:37:00,3601.00,3601.00,3601.00,3601.00,724,0\r\n2006-01-20,14:38:00,3601.00,3601.00,3601.00,3601.00,176,0\r\n2006-01-20,14:39:00,3602.00,3602.00,3602.00,3602.00,486,0\r\n2006-01-20,14:40:00,3603.00,3603.00,3602.00,3602.00,72,0\r\n2006-01-20,14:41:00,3603.00,3603.00,3601.00,3602.00,274,0\r\n2006-01-20,14:42:00,3602.00,3602.00,3602.00,3602.00,219,0\r\n2006-01-20,14:43:00,3601.00,3601.00,3601.00,3601.00,1,0\r\n2006-01-20,14:44:00,3601.00,3602.00,3601.00,3601.00,7,0\r\n2006-01-20,14:45:00,3602.00,3602.00,3601.00,3601.00,543,0\r\n2006-01-20,14:46:00,3601.00,3601.00,3601.00,3601.00,4,0\r\n2006-01-20,14:47:00,3601.00,3602.00,3601.00,3601.00,54,0\r\n2006-01-20,14:48:00,3602.00,3603.00,3601.00,3602.00,370,0\r\n2006-01-20,14:49:00,3602.00,3603.00,3602.00,3603.00,95,0\r\n2006-01-20,14:50:00,3602.00,3603.00,3602.00,3603.00,121,0\r\n2006-01-20,14:51:00,3602.00,3603.00,3602.00,3602.00,214,0\r\n2006-01-20,14:52:00,3602.00,3602.00,3602.00,3602.00,3023,0\r\n2006-01-20,14:53:00,3603.00,3603.00,3603.00,3603.00,155,0\r\n2006-01-20,14:54:00,3603.00,3604.00,3603.00,3604.00,499,0\r\n2006-01-20,14:55:00,3604.00,3604.00,3603.00,3603.00,455,0\r\n2006-01-20,14:56:00,3603.00,3603.00,3602.00,3602.00,930,0\r\n2006-01-20,14:57:00,3602.00,3602.00,3600.00,3600.00,995,0\r\n2006-01-20,14:58:00,3600.00,3600.00,3599.00,3600.00,54,0\r\n2006-01-20,14:59:00,3599.00,3601.00,3599.00,3600.00,1632,0\r\n2006-01-20,15:00:00,3600.00,3601.00,3600.00,3601.00,1000,0\r\n2006-01-20,15:01:00,3601.00,3602.00,3601.00,3601.00,1090,0\r\n2006-01-20,15:02:00,3601.00,3602.00,3601.00,3602.00,863,0\r\n2006-01-20,15:03:00,3602.00,3603.00,3602.00,3602.00,5356,0\r\n2006-01-20,15:04:00,3601.00,3602.00,3601.00,3602.00,5093,0\r\n2006-01-20,15:05:00,3602.00,3602.00,3602.00,3602.00,1266,0\r\n2006-01-20,15:06:00,3602.00,3602.00,3602.00,3602.00,28,0\r\n2006-01-20,15:07:00,3602.00,3603.00,3601.00,3602.00,262,0\r\n2006-01-20,15:08:00,3603.00,3603.00,3603.00,3603.00,1555,0\r\n2006-01-20,15:09:00,3604.00,3604.00,3602.00,3603.00,623,0\r\n2006-01-20,15:10:00,3603.00,3603.00,3603.00,3603.00,22,0\r\n2006-01-20,15:11:00,3603.00,3603.00,3603.00,3603.00,7,0\r\n2006-01-20,15:12:00,3602.00,3602.00,3602.00,3602.00,41,0\r\n2006-01-20,15:13:00,3603.00,3603.00,3602.00,3602.00,348,0\r\n2006-01-20,15:14:00,3602.00,3602.00,3602.00,3602.00,383,0\r\n2006-01-20,15:15:00,3602.00,3604.00,3602.00,3604.00,503,0\r\n2006-01-20,15:16:00,3604.00,3604.00,3603.00,3603.00,297,0\r\n2006-01-20,15:17:00,3604.00,3605.00,3603.00,3604.00,634,0\r\n2006-01-20,15:18:00,3605.00,3605.00,3604.00,3605.00,65,0\r\n2006-01-20,15:19:00,3604.00,3605.00,3604.00,3604.00,178,0\r\n2006-01-20,15:20:00,3605.00,3605.00,3603.00,3604.00,578,0\r\n2006-01-20,15:21:00,3604.00,3604.00,3604.00,3604.00,243,0\r\n2006-01-20,15:22:00,3604.00,3604.00,3603.00,3603.00,496,0\r\n2006-01-20,15:23:00,3603.00,3603.00,3603.00,3603.00,462,0\r\n2006-01-20,15:24:00,3602.00,3604.00,3602.00,3603.00,295,0\r\n2006-01-20,15:25:00,3604.00,3604.00,3603.00,3603.00,1226,0\r\n2006-01-20,15:26:00,3603.00,3604.00,3603.00,3604.00,332,0\r\n2006-01-20,15:27:00,3604.00,3605.00,3603.00,3605.00,719,0\r\n2006-01-20,15:28:00,3604.00,3605.00,3604.00,3605.00,262,0\r\n2006-01-20,15:29:00,3605.00,3606.00,3605.00,3605.00,821,0\r\n2006-01-20,15:30:00,3606.00,3606.00,3604.00,3605.00,441,0\r\n2006-01-20,15:31:00,3606.00,3606.00,3605.00,3605.00,333,0\r\n2006-01-20,15:32:00,3605.00,3606.00,3605.00,3606.00,488,0\r\n2006-01-20,15:33:00,3605.00,3606.00,3604.00,3604.00,1327,0\r\n2006-01-20,15:34:00,3604.00,3605.00,3603.00,3605.00,843,0\r\n2006-01-20,15:35:00,3605.00,3606.00,3605.00,3605.00,481,0\r\n2006-01-20,15:36:00,3605.00,3605.00,3604.00,3605.00,511,0\r\n2006-01-20,15:37:00,3604.00,3605.00,3604.00,3605.00,453,0\r\n2006-01-20,15:38:00,3605.00,3605.00,3603.00,3604.00,858,0\r\n2006-01-20,15:39:00,3605.00,3605.00,3604.00,3605.00,1218,0\r\n2006-01-20,15:40:00,3605.00,3605.00,3605.00,3605.00,55,0\r\n2006-01-20,15:41:00,3605.00,3605.00,3604.00,3605.00,122,0\r\n2006-01-20,15:42:00,3605.00,3606.00,3605.00,3605.00,381,0\r\n2006-01-20,15:43:00,3606.00,3606.00,3605.00,3605.00,187,0\r\n2006-01-20,15:44:00,3605.00,3606.00,3605.00,3606.00,830,0\r\n2006-01-20,15:45:00,3605.00,3606.00,3604.00,3605.00,281,0\r\n2006-01-20,15:46:00,3605.00,3606.00,3604.00,3605.00,99,0\r\n2006-01-20,15:47:00,3606.00,3606.00,3604.00,3604.00,756,0\r\n2006-01-20,15:48:00,3605.00,3605.00,3603.00,3604.00,390,0\r\n2006-01-20,15:49:00,3603.00,3606.00,3603.00,3605.00,2212,0\r\n2006-01-20,15:50:00,3605.00,3607.00,3605.00,3606.00,1900,0\r\n2006-01-20,15:51:00,3605.00,3606.00,3604.00,3606.00,1433,0\r\n2006-01-20,15:52:00,3606.00,3607.00,3605.00,3606.00,753,0\r\n2006-01-20,15:53:00,3607.00,3607.00,3605.00,3605.00,1384,0\r\n2006-01-20,15:54:00,3605.00,3606.00,3604.00,3605.00,1647,0\r\n2006-01-20,15:55:00,3605.00,3606.00,3605.00,3605.00,136,0\r\n2006-01-20,15:56:00,3605.00,3606.00,3604.00,3605.00,1710,0\r\n2006-01-20,15:57:00,3605.00,3605.00,3603.00,3603.00,441,0\r\n2006-01-20,15:58:00,3603.00,3603.00,3601.00,3602.00,2528,0\r\n2006-01-20,15:59:00,3602.00,3602.00,3595.00,3595.00,9873,0\r\n2006-01-20,16:00:00,3595.00,3596.00,3591.00,3591.00,8897,0\r\n2006-01-20,16:01:00,3592.00,3592.00,3586.00,3587.00,8059,0\r\n2006-01-20,16:02:00,3587.00,3591.00,3583.00,3590.00,12474,0\r\n2006-01-20,16:03:00,3590.00,3595.00,3590.00,3595.00,12993,0\r\n2006-01-20,16:04:00,3595.00,3599.00,3595.00,3597.00,8385,0\r\n2006-01-20,16:05:00,3596.00,3596.00,3594.00,3596.00,5886,0\r\n2006-01-20,16:06:00,3596.00,3596.00,3594.00,3595.00,1869,0\r\n2006-01-20,16:07:00,3595.00,3597.00,3594.00,3595.00,3204,0\r\n2006-01-20,16:08:00,3595.00,3596.00,3594.00,3594.00,896,0\r\n2006-01-20,16:09:00,3594.00,3594.00,3593.00,3593.00,2815,0\r\n2006-01-20,16:10:00,3593.00,3595.00,3593.00,3594.00,1691,0\r\n2006-01-20,16:11:00,3595.00,3595.00,3594.00,3595.00,861,0\r\n2006-01-20,16:12:00,3595.00,3595.00,3591.00,3591.00,2643,0\r\n2006-01-20,16:13:00,3591.00,3591.00,3586.00,3588.00,6718,0\r\n2006-01-20,16:14:00,3588.00,3590.00,3586.00,3586.00,5448,0\r\n2006-01-20,16:15:00,3586.00,3587.00,3583.00,3585.00,4537,0\r\n2006-01-20,16:16:00,3585.00,3586.00,3583.00,3584.00,5264,0\r\n2006-01-20,16:17:00,3585.00,3588.00,3584.00,3588.00,3399,0\r\n2006-01-20,16:18:00,3588.00,3591.00,3587.00,3590.00,4355,0\r\n2006-01-20,16:19:00,3590.00,3590.00,3584.00,3584.00,4770,0\r\n2006-01-20,16:20:00,3585.00,3587.00,3584.00,3586.00,8808,0\r\n2006-01-20,16:21:00,3586.00,3587.00,3584.00,3585.00,4257,0\r\n2006-01-20,16:22:00,3585.00,3588.00,3584.00,3587.00,3940,0\r\n2006-01-20,16:23:00,3586.00,3587.00,3586.00,3587.00,1676,0\r\n2006-01-20,16:24:00,3588.00,3589.00,3587.00,3588.00,1922,0\r\n2006-01-20,16:25:00,3588.00,3589.00,3588.00,3588.00,1486,0\r\n2006-01-20,16:26:00,3588.00,3589.00,3586.00,3587.00,2617,0\r\n2006-01-20,16:27:00,3587.00,3587.00,3584.00,3585.00,2414,0\r\n2006-01-20,16:28:00,3585.00,3587.00,3585.00,3586.00,1897,0\r\n2006-01-20,16:29:00,3586.00,3586.00,3584.00,3585.00,957,0\r\n2006-01-20,16:30:00,3585.00,3585.00,3583.00,3584.00,1363,0\r\n2006-01-20,16:31:00,3584.00,3585.00,3583.00,3584.00,1989,0\r\n2006-01-20,16:32:00,3584.00,3585.00,3579.00,3579.00,10847,0\r\n2006-01-20,16:33:00,3579.00,3579.00,3574.00,3574.00,8933,0\r\n2006-01-20,16:34:00,3574.00,3577.00,3574.00,3577.00,3546,0\r\n2006-01-20,16:35:00,3577.00,3580.00,3576.00,3579.00,5057,0\r\n2006-01-20,16:36:00,3579.00,3581.00,3578.00,3578.00,1693,0\r\n2006-01-20,16:37:00,3578.00,3580.00,3578.00,3578.00,1822,0\r\n2006-01-20,16:38:00,3579.00,3580.00,3579.00,3580.00,1651,0\r\n2006-01-20,16:39:00,3579.00,3580.00,3578.00,3579.00,1180,0\r\n2006-01-20,16:40:00,3579.00,3580.00,3579.00,3580.00,1078,0\r\n2006-01-20,16:41:00,3580.00,3580.00,3579.00,3580.00,1801,0\r\n2006-01-20,16:42:00,3580.00,3581.00,3580.00,3580.00,2303,0\r\n2006-01-20,16:43:00,3579.00,3581.00,3579.00,3580.00,1437,0\r\n2006-01-20,16:44:00,3580.00,3581.00,3579.00,3579.00,2475,0\r\n2006-01-20,16:45:00,3580.00,3580.00,3574.00,3574.00,3153,0\r\n2006-01-20,16:46:00,3574.00,3575.00,3573.00,3575.00,6954,0\r\n2006-01-20,16:47:00,3574.00,3576.00,3574.00,3574.00,3018,0\r\n2006-01-20,16:48:00,3573.00,3577.00,3573.00,3576.00,2972,0\r\n2006-01-20,16:49:00,3576.00,3576.00,3573.00,3573.00,1822,0\r\n2006-01-20,16:50:00,3573.00,3574.00,3572.00,3573.00,3017,0\r\n2006-01-20,16:51:00,3574.00,3575.00,3571.00,3572.00,5351,0\r\n2006-01-20,16:52:00,3571.00,3572.00,3568.00,3568.00,8541,0\r\n2006-01-20,16:53:00,3569.00,3571.00,3567.00,3567.00,6246,0\r\n2006-01-20,16:54:00,3567.00,3569.00,3563.00,3566.00,9557,0\r\n2006-01-20,16:55:00,3567.00,3569.00,3566.00,3568.00,3130,0\r\n2006-01-20,16:56:00,3569.00,3570.00,3567.00,3569.00,4534,0\r\n2006-01-20,16:57:00,3569.00,3569.00,3568.00,3569.00,1890,0\r\n2006-01-20,16:58:00,3569.00,3570.00,3568.00,3569.00,2928,0\r\n2006-01-20,16:59:00,3569.00,3571.00,3568.00,3570.00,3732,0\r\n2006-01-20,17:00:00,3570.00,3571.00,3567.00,3567.00,2497,0\r\n2006-01-20,17:01:00,3567.00,3567.00,3565.00,3566.00,5403,0\r\n2006-01-20,17:02:00,3566.00,3567.00,3564.00,3566.00,6328,0\r\n2006-01-20,17:03:00,3566.00,3568.00,3566.00,3568.00,2152,0\r\n2006-01-20,17:04:00,3567.00,3570.00,3567.00,3570.00,2984,0\r\n2006-01-20,17:05:00,3570.00,3572.00,3570.00,3571.00,2384,0\r\n2006-01-20,17:06:00,3571.00,3571.00,3568.00,3570.00,3865,0\r\n2006-01-20,17:07:00,3570.00,3573.00,3569.00,3573.00,3794,0\r\n2006-01-20,17:08:00,3573.00,3573.00,3571.00,3572.00,4077,0\r\n2006-01-20,17:09:00,3572.00,3573.00,3571.00,3572.00,2397,0\r\n2006-01-20,17:10:00,3573.00,3573.00,3570.00,3572.00,2620,0\r\n2006-01-20,17:11:00,3572.00,3572.00,3569.00,3571.00,2730,0\r\n2006-01-20,17:12:00,3571.00,3572.00,3570.00,3572.00,1904,0\r\n2006-01-20,17:13:00,3572.00,3576.00,3571.00,3575.00,3712,0\r\n2006-01-20,17:14:00,3576.00,3578.00,3575.00,3577.00,4555,0\r\n2006-01-20,17:15:00,3576.00,3578.00,3576.00,3577.00,2738,0\r\n2006-01-20,17:16:00,3577.00,3577.00,3574.00,3574.00,2221,0\r\n2006-01-20,17:17:00,3574.00,3574.00,3570.00,3571.00,4527,0\r\n2006-01-20,17:18:00,3571.00,3573.00,3571.00,3573.00,948,0\r\n2006-01-20,17:19:00,3572.00,3573.00,3572.00,3572.00,372,0\r\n2006-01-20,17:20:00,3572.00,3572.00,3569.00,3569.00,3787,0\r\n2006-01-20,17:21:00,3568.00,3569.00,3566.00,3567.00,6778,0\r\n2006-01-20,17:22:00,3566.00,3567.00,3561.00,3564.00,6844,0\r\n2006-01-20,17:23:00,3564.00,3565.00,3562.00,3563.00,4469,0\r\n2006-01-20,17:24:00,3564.00,3565.00,3562.00,3564.00,6289,0\r\n2006-01-20,17:25:00,3565.00,3565.00,3562.00,3562.00,2703,0\r\n2006-01-20,17:26:00,3563.00,3567.00,3563.00,3566.00,4069,0\r\n2006-01-20,17:27:00,3566.00,3568.00,3566.00,3567.00,4246,0\r\n2006-01-20,17:28:00,3567.00,3567.00,3565.00,3565.00,3311,0\r\n2006-01-20,17:29:00,3565.00,3566.00,3564.00,3565.00,5336,0\r\n2006-01-20,17:30:00,3565.00,3565.00,3562.00,3563.00,6167,0\r\n2006-01-20,17:31:00,3564.00,3564.00,3561.00,3562.00,6491,0\r\n2006-01-20,17:32:00,3562.00,3563.00,3557.00,3557.00,10100,0\r\n2006-01-20,17:33:00,3558.00,3562.00,3557.00,3561.00,5223,0\r\n2006-01-20,17:34:00,3561.00,3562.00,3561.00,3561.00,2175,0\r\n2006-01-20,17:35:00,3562.00,3563.00,3560.00,3561.00,3340,0\r\n2006-01-20,17:36:00,3561.00,3563.00,3560.00,3562.00,1918,0\r\n2006-01-20,17:37:00,3562.00,3562.00,3561.00,3561.00,1644,0\r\n2006-01-20,17:38:00,3560.00,3561.00,3558.00,3560.00,2554,0\r\n2006-01-20,17:39:00,3560.00,3560.00,3556.00,3557.00,6842,0\r\n2006-01-20,17:40:00,3556.00,3559.00,3556.00,3558.00,3124,0\r\n2006-01-20,17:41:00,3558.00,3558.00,3555.00,3556.00,3601,0\r\n2006-01-20,17:42:00,3556.00,3559.00,3555.00,3556.00,5845,0\r\n2006-01-20,17:43:00,3556.00,3559.00,3554.00,3558.00,4804,0\r\n2006-01-20,17:44:00,3558.00,3558.00,3556.00,3558.00,1445,0\r\n2006-01-20,17:45:00,3558.00,3558.00,3554.00,3555.00,1708,0\r\n2006-01-20,17:46:00,3556.00,3558.00,3556.00,3558.00,1070,0\r\n2006-01-20,17:47:00,3557.00,3559.00,3557.00,3559.00,444,0\r\n2006-01-20,17:48:00,3559.00,3559.00,3557.00,3558.00,1011,0\r\n2006-01-20,17:49:00,3559.00,3559.00,3554.00,3554.00,10756,0\r\n2006-01-20,17:50:00,3555.00,3557.00,3551.00,3553.00,5529,0\r\n2006-01-20,17:51:00,3554.00,3555.00,3553.00,3554.00,2798,0\r\n2006-01-20,17:52:00,3554.00,3555.00,3551.00,3553.00,4857,0\r\n2006-01-20,17:53:00,3552.00,3555.00,3552.00,3554.00,1985,0\r\n2006-01-20,17:54:00,3553.00,3553.00,3549.00,3550.00,3316,0\r\n2006-01-20,17:55:00,3550.00,3552.00,3550.00,3550.00,1652,0\r\n2006-01-20,17:56:00,3550.00,3550.00,3547.00,3550.00,3886,0\r\n2006-01-20,17:57:00,3550.00,3551.00,3549.00,3550.00,1872,0\r\n2006-01-20,17:58:00,3550.00,3551.00,3548.00,3549.00,2409,0\r\n2006-01-20,17:59:00,3549.00,3551.00,3547.00,3551.00,1584,0\r\n2006-01-20,18:00:00,3551.00,3552.00,3550.00,3551.00,1909,0\r\n2006-01-20,18:01:00,3551.00,3552.00,3551.00,3552.00,603,0\r\n2006-01-20,18:02:00,3552.00,3554.00,3550.00,3554.00,2152,0\r\n2006-01-20,18:03:00,3554.00,3554.00,3550.00,3551.00,1044,0\r\n2006-01-20,18:04:00,3551.00,3552.00,3550.00,3551.00,575,0\r\n2006-01-20,18:05:00,3552.00,3552.00,3551.00,3551.00,487,0\r\n2006-01-20,18:06:00,3551.00,3553.00,3551.00,3553.00,567,0\r\n2006-01-20,18:07:00,3553.00,3553.00,3552.00,3553.00,598,0\r\n2006-01-20,18:08:00,3552.00,3553.00,3551.00,3553.00,953,0\r\n2006-01-20,18:09:00,3552.00,3552.00,3550.00,3551.00,749,0\r\n2006-01-20,18:10:00,3550.00,3551.00,3549.00,3551.00,763,0\r\n2006-01-20,18:11:00,3551.00,3551.00,3550.00,3551.00,755,0\r\n2006-01-20,18:12:00,3551.00,3553.00,3551.00,3553.00,504,0\r\n2006-01-20,18:13:00,3552.00,3553.00,3546.00,3547.00,2712,0\r\n2006-01-20,18:14:00,3547.00,3548.00,3547.00,3548.00,1342,0\r\n2006-01-20,18:15:00,3548.00,3549.00,3548.00,3549.00,348,0\r\n2006-01-20,18:16:00,3549.00,3550.00,3548.00,3550.00,654,0\r\n2006-01-20,18:17:00,3550.00,3550.00,3549.00,3549.00,498,0\r\n2006-01-20,18:18:00,3548.00,3550.00,3548.00,3550.00,541,0\r\n2006-01-20,18:19:00,3550.00,3551.00,3549.00,3549.00,1045,0\r\n2006-01-20,18:20:00,3548.00,3549.00,3548.00,3548.00,423,0\r\n2006-01-20,18:21:00,3547.00,3550.00,3547.00,3550.00,1018,0\r\n2006-01-20,18:22:00,3549.00,3550.00,3549.00,3549.00,654,0\r\n2006-01-20,18:23:00,3550.00,3551.00,3550.00,3551.00,332,0\r\n2006-01-20,18:24:00,3551.00,3554.00,3550.00,3554.00,2278,0\r\n2006-01-20,18:25:00,3553.00,3556.00,3553.00,3555.00,1326,0\r\n2006-01-20,18:26:00,3555.00,3556.00,3554.00,3556.00,469,0\r\n2006-01-20,18:27:00,3555.00,3555.00,3554.00,3554.00,196,0\r\n2006-01-20,18:28:00,3554.00,3555.00,3554.00,3555.00,368,0\r\n2006-01-20,18:29:00,3555.00,3556.00,3554.00,3556.00,560,0\r\n2006-01-20,18:30:00,3556.00,3556.00,3555.00,3555.00,43,0\r\n2006-01-20,18:31:00,3554.00,3555.00,3553.00,3553.00,336,0\r\n2006-01-20,18:32:00,3552.00,3552.00,3552.00,3552.00,195,0\r\n2006-01-20,18:33:00,3553.00,3554.00,3552.00,3554.00,205,0\r\n2006-01-20,18:34:00,3554.00,3554.00,3553.00,3553.00,232,0\r\n2006-01-20,18:35:00,3553.00,3553.00,3553.00,3553.00,27,0\r\n2006-01-20,18:36:00,3554.00,3554.00,3553.00,3553.00,78,0\r\n2006-01-20,18:37:00,3554.00,3554.00,3553.00,3553.00,116,0\r\n2006-01-20,18:38:00,3552.00,3552.00,3551.00,3551.00,190,0\r\n2006-01-20,18:39:00,3552.00,3552.00,3550.00,3551.00,564,0\r\n2006-01-20,18:40:00,3551.00,3551.00,3551.00,3551.00,15,0\r\n2006-01-20,18:41:00,3552.00,3552.00,3550.00,3551.00,143,0\r\n2006-01-20,18:42:00,3551.00,3551.00,3551.00,3551.00,35,0\r\n2006-01-20,18:43:00,3552.00,3552.00,3548.00,3548.00,708,0\r\n2006-01-20,18:44:00,3549.00,3549.00,3546.00,3547.00,969,0\r\n2006-01-20,18:45:00,3546.00,3546.00,3544.00,3544.00,1708,0\r\n2006-01-20,18:46:00,3544.00,3547.00,3544.00,3547.00,1442,0\r\n2006-01-20,18:47:00,3547.00,3547.00,3545.00,3545.00,808,0\r\n2006-01-20,18:48:00,3546.00,3546.00,3543.00,3544.00,1363,0\r\n2006-01-20,18:49:00,3544.00,3546.00,3544.00,3545.00,631,0\r\n2006-01-20,18:50:00,3545.00,3548.00,3545.00,3548.00,932,0\r\n2006-01-20,18:51:00,3547.00,3548.00,3547.00,3547.00,293,0\r\n2006-01-20,18:52:00,3548.00,3548.00,3546.00,3547.00,444,0\r\n2006-01-20,18:53:00,3546.00,3547.00,3546.00,3546.00,618,0\r\n2006-01-20,18:54:00,3546.00,3547.00,3546.00,3547.00,358,0\r\n2006-01-20,18:55:00,3546.00,3548.00,3546.00,3547.00,470,0\r\n2006-01-20,18:56:00,3546.00,3548.00,3546.00,3547.00,710,0\r\n2006-01-20,18:57:00,3547.00,3547.00,3546.00,3546.00,241,0\r\n2006-01-20,18:58:00,3546.00,3546.00,3545.00,3546.00,132,0\r\n2006-01-20,18:59:00,3545.00,3547.00,3544.00,3547.00,959,0\r\n2006-01-20,19:00:00,3547.00,3547.00,3546.00,3546.00,121,0\r\n2006-01-20,19:01:00,3546.00,3547.00,3546.00,3546.00,69,0\r\n2006-01-20,19:02:00,3546.00,3546.00,3545.00,3546.00,128,0\r\n2006-01-20,19:03:00,3546.00,3546.00,3546.00,3546.00,59,0\r\n2006-01-20,19:04:00,3546.00,3546.00,3542.00,3542.00,997,0\r\n2006-01-20,19:05:00,3542.00,3543.00,3541.00,3542.00,645,0\r\n2006-01-20,19:06:00,3541.00,3544.00,3541.00,3544.00,377,0\r\n2006-01-20,19:07:00,3544.00,3544.00,3543.00,3543.00,358,0\r\n2006-01-20,19:08:00,3543.00,3543.00,3541.00,3542.00,484,0\r\n2006-01-20,19:09:00,3543.00,3544.00,3543.00,3544.00,258,0\r\n2006-01-20,19:10:00,3543.00,3543.00,3540.00,3542.00,1228,0\r\n2006-01-20,19:11:00,3543.00,3543.00,3543.00,3543.00,327,0\r\n2006-01-20,19:12:00,3542.00,3543.00,3542.00,3543.00,281,0\r\n2006-01-20,19:13:00,3543.00,3545.00,3543.00,3545.00,801,0\r\n2006-01-20,19:14:00,3544.00,3545.00,3544.00,3545.00,212,0\r\n2006-01-20,19:15:00,3545.00,3545.00,3544.00,3545.00,172,0\r\n2006-01-20,19:16:00,3545.00,3545.00,3543.00,3544.00,675,0\r\n2006-01-20,19:17:00,3544.00,3545.00,3544.00,3545.00,211,0\r\n2006-01-20,19:18:00,3545.00,3546.00,3544.00,3544.00,626,0\r\n2006-01-20,19:19:00,3544.00,3544.00,3543.00,3543.00,252,0\r\n2006-01-20,19:20:00,3543.00,3543.00,3542.00,3542.00,238,0\r\n2006-01-20,19:21:00,3542.00,3542.00,3541.00,3541.00,318,0\r\n2006-01-20,19:22:00,3541.00,3543.00,3541.00,3543.00,277,0\r\n2006-01-20,19:23:00,3542.00,3542.00,3542.00,3542.00,94,0\r\n2006-01-20,19:24:00,3543.00,3543.00,3542.00,3543.00,409,0\r\n2006-01-20,19:25:00,3543.00,3543.00,3542.00,3543.00,264,0\r\n2006-01-20,19:26:00,3544.00,3547.00,3544.00,3547.00,2008,0\r\n2006-01-20,19:27:00,3547.00,3548.00,3546.00,3547.00,741,0\r\n2006-01-20,19:28:00,3548.00,3549.00,3547.00,3547.00,617,0\r\n2006-01-20,19:29:00,3547.00,3547.00,3546.00,3547.00,257,0\r\n2006-01-20,19:30:00,3546.00,3546.00,3546.00,3546.00,51,0\r\n2006-01-20,19:31:00,3545.00,3546.00,3544.00,3544.00,231,0\r\n2006-01-20,19:32:00,3544.00,3545.00,3544.00,3544.00,153,0\r\n2006-01-20,19:33:00,3544.00,3545.00,3544.00,3545.00,40,0\r\n2006-01-20,19:34:00,3545.00,3545.00,3541.00,3541.00,387,0\r\n2006-01-20,19:35:00,3541.00,3543.00,3541.00,3542.00,904,0\r\n2006-01-20,19:36:00,3542.00,3543.00,3542.00,3542.00,101,0\r\n2006-01-20,19:37:00,3542.00,3546.00,3542.00,3546.00,726,0\r\n2006-01-20,19:38:00,3546.00,3546.00,3545.00,3545.00,263,0\r\n2006-01-20,19:39:00,3544.00,3544.00,3544.00,3544.00,22,0\r\n2006-01-20,19:40:00,3545.00,3546.00,3545.00,3545.00,349,0\r\n2006-01-20,19:41:00,3545.00,3546.00,3545.00,3545.00,195,0\r\n2006-01-20,19:42:00,3545.00,3545.00,3544.00,3544.00,44,0\r\n2006-01-20,19:43:00,3545.00,3545.00,3544.00,3544.00,195,0\r\n2006-01-20,19:44:00,3543.00,3543.00,3543.00,3543.00,150,0\r\n2006-01-20,19:45:00,3543.00,3543.00,3541.00,3541.00,565,0\r\n2006-01-20,19:46:00,3542.00,3542.00,3541.00,3542.00,208,0\r\n2006-01-20,19:47:00,3542.00,3542.00,3540.00,3540.00,522,0\r\n2006-01-20,19:48:00,3541.00,3541.00,3540.00,3540.00,647,0\r\n2006-01-20,19:49:00,3539.00,3540.00,3538.00,3538.00,369,0\r\n2006-01-20,19:50:00,3539.00,3541.00,3538.00,3541.00,215,0\r\n2006-01-20,19:51:00,3541.00,3542.00,3540.00,3541.00,302,0\r\n2006-01-20,19:52:00,3541.00,3541.00,3540.00,3541.00,390,0\r\n2006-01-20,19:53:00,3541.00,3541.00,3540.00,3541.00,265,0\r\n2006-01-20,19:54:00,3541.00,3542.00,3541.00,3541.00,92,0\r\n2006-01-20,19:55:00,3541.00,3542.00,3541.00,3541.00,299,0\r\n2006-01-20,19:56:00,3540.00,3540.00,3539.00,3539.00,688,0\r\n2006-01-20,19:57:00,3539.00,3541.00,3539.00,3541.00,1331,0\r\n2006-01-20,19:58:00,3540.00,3540.00,3539.00,3540.00,559,0\r\n2006-01-20,19:59:00,3540.00,3542.00,3540.00,3541.00,461,0\r\n2006-01-20,20:00:00,3541.00,3541.00,3538.00,3538.00,318,0\r\n2006-01-20,20:01:00,3540.00,3540.00,3538.00,3538.00,793,0\r\n2006-01-20,20:02:00,3537.00,3538.00,3537.00,3538.00,378,0\r\n2006-01-20,20:03:00,3537.00,3539.00,3537.00,3538.00,517,0\r\n2006-01-20,20:04:00,3539.00,3539.00,3539.00,3539.00,52,0\r\n2006-01-20,20:05:00,3538.00,3539.00,3538.00,3539.00,87,0\r\n2006-01-20,20:06:00,3539.00,3539.00,3539.00,3539.00,19,0\r\n2006-01-20,20:07:00,3539.00,3541.00,3539.00,3541.00,271,0\r\n2006-01-20,20:08:00,3541.00,3542.00,3541.00,3542.00,31,0\r\n2006-01-20,20:09:00,3542.00,3542.00,3540.00,3541.00,326,0\r\n2006-01-20,20:10:00,3541.00,3541.00,3541.00,3541.00,195,0\r\n2006-01-20,20:11:00,3541.00,3541.00,3540.00,3540.00,34,0\r\n2006-01-20,20:12:00,3540.00,3541.00,3540.00,3540.00,20,0\r\n2006-01-20,20:13:00,3539.00,3539.00,3539.00,3539.00,97,0\r\n2006-01-20,20:14:00,3539.00,3540.00,3539.00,3540.00,134,0\r\n2006-01-20,20:15:00,3540.00,3540.00,3540.00,3540.00,27,0\r\n2006-01-20,20:16:00,3541.00,3541.00,3540.00,3541.00,227,0\r\n2006-01-20,20:17:00,3542.00,3542.00,3541.00,3542.00,122,0\r\n2006-01-20,20:18:00,3541.00,3541.00,3539.00,3539.00,147,0\r\n2006-01-20,20:19:00,3539.00,3539.00,3539.00,3539.00,20,0\r\n2006-01-20,20:20:00,3540.00,3540.00,3537.00,3537.00,255,0\r\n2006-01-20,20:21:00,3538.00,3540.00,3538.00,3539.00,388,0\r\n2006-01-20,20:22:00,3539.00,3541.00,3539.00,3540.00,410,0\r\n2006-01-20,20:23:00,3540.00,3540.00,3539.00,3539.00,47,0\r\n2006-01-20,20:25:00,3540.00,3540.00,3540.00,3540.00,9,0\r\n2006-01-20,20:26:00,3541.00,3541.00,3541.00,3541.00,83,0\r\n2006-01-20,20:27:00,3541.00,3541.00,3541.00,3541.00,10,0\r\n2006-01-20,20:28:00,3541.00,3542.00,3541.00,3541.00,48,0\r\n2006-01-20,20:29:00,3542.00,3542.00,3542.00,3542.00,417,0\r\n2006-01-20,20:30:00,3543.00,3544.00,3543.00,3543.00,856,0\r\n2006-01-20,20:31:00,3543.00,3543.00,3542.00,3542.00,233,0\r\n2006-01-20,20:32:00,3541.00,3542.00,3541.00,3542.00,44,0\r\n2006-01-20,20:33:00,3543.00,3543.00,3542.00,3543.00,532,0\r\n2006-01-20,20:34:00,3543.00,3543.00,3542.00,3543.00,77,0\r\n2006-01-20,20:35:00,3544.00,3544.00,3543.00,3543.00,809,0\r\n2006-01-20,20:36:00,3543.00,3543.00,3543.00,3543.00,201,0\r\n2006-01-20,20:37:00,3543.00,3543.00,3541.00,3541.00,234,0\r\n2006-01-20,20:38:00,3541.00,3542.00,3541.00,3542.00,194,0\r\n2006-01-20,20:39:00,3542.00,3542.00,3542.00,3542.00,1,0\r\n2006-01-20,20:40:00,3542.00,3542.00,3542.00,3542.00,3,0\r\n2006-01-20,20:41:00,3542.00,3542.00,3542.00,3542.00,11,0\r\n2006-01-20,20:42:00,3542.00,3542.00,3541.00,3541.00,44,0\r\n2006-01-20,20:43:00,3540.00,3540.00,3540.00,3540.00,103,0\r\n2006-01-20,20:44:00,3541.00,3542.00,3541.00,3542.00,96,0\r\n2006-01-20,20:45:00,3542.00,3542.00,3541.00,3541.00,112,0\r\n2006-01-20,20:46:00,3541.00,3541.00,3541.00,3541.00,181,0\r\n2006-01-20,20:47:00,3540.00,3541.00,3539.00,3540.00,28,0\r\n2006-01-20,20:48:00,3540.00,3540.00,3540.00,3540.00,6,0\r\n2006-01-20,20:49:00,3540.00,3541.00,3540.00,3541.00,32,0\r\n2006-01-20,20:50:00,3541.00,3541.00,3541.00,3541.00,254,0\r\n2006-01-20,20:51:00,3540.00,3540.00,3539.00,3539.00,238,0\r\n2006-01-20,20:52:00,3538.00,3539.00,3537.00,3537.00,92,0\r\n2006-01-20,20:53:00,3538.00,3541.00,3538.00,3540.00,169,0\r\n2006-01-20,20:54:00,3539.00,3539.00,3539.00,3539.00,62,0\r\n2006-01-20,20:55:00,3538.00,3539.00,3537.00,3538.00,73,0\r\n2006-01-20,20:56:00,3538.00,3538.00,3537.00,3537.00,122,0\r\n2006-01-20,20:57:00,3537.00,3537.00,3536.00,3537.00,45,0\r\n2006-01-20,20:58:00,3537.00,3538.00,3535.00,3535.00,1228,0\r\n2006-01-20,20:59:00,3536.00,3536.00,3535.00,3535.00,142,0\r\n2006-01-20,21:00:00,3534.00,3534.00,3533.00,3534.00,525,0\r\n2006-01-20,21:01:00,3533.00,3535.00,3533.00,3535.00,108,0\r\n2006-01-20,21:02:00,3536.00,3536.00,3535.00,3535.00,162,0\r\n2006-01-20,21:03:00,3535.00,3536.00,3534.00,3534.00,89,0\r\n2006-01-20,21:04:00,3534.00,3536.00,3534.00,3536.00,44,0\r\n2006-01-20,21:05:00,3535.00,3535.00,3534.00,3534.00,37,0\r\n2006-01-20,21:06:00,3535.00,3535.00,3535.00,3535.00,41,0\r\n2006-01-20,21:07:00,3535.00,3535.00,3535.00,3535.00,25,0\r\n2006-01-20,21:08:00,3535.00,3536.00,3535.00,3536.00,253,0\r\n2006-01-20,21:09:00,3536.00,3536.00,3534.00,3535.00,141,0\r\n2006-01-20,21:10:00,3536.00,3537.00,3536.00,3537.00,130,0\r\n2006-01-20,21:11:00,3537.00,3537.00,3536.00,3536.00,119,0\r\n2006-01-20,21:12:00,3535.00,3535.00,3533.00,3533.00,140,0\r\n2006-01-20,21:13:00,3534.00,3536.00,3534.00,3536.00,94,0\r\n2006-01-20,21:14:00,3535.00,3535.00,3534.00,3534.00,52,0\r\n2006-01-20,21:15:00,3534.00,3534.00,3534.00,3534.00,58,0\r\n2006-01-20,21:16:00,3533.00,3535.00,3533.00,3534.00,126,0\r\n2006-01-20,21:17:00,3535.00,3535.00,3533.00,3534.00,99,0\r\n2006-01-20,21:18:00,3534.00,3534.00,3532.00,3534.00,283,0\r\n2006-01-20,21:19:00,3533.00,3534.00,3533.00,3534.00,148,0\r\n2006-01-20,21:20:00,3534.00,3536.00,3534.00,3535.00,265,0\r\n2006-01-20,21:21:00,3535.00,3536.00,3535.00,3535.00,265,0\r\n2006-01-20,21:22:00,3535.00,3536.00,3535.00,3536.00,455,0\r\n2006-01-20,21:23:00,3536.00,3536.00,3534.00,3536.00,62,0\r\n2006-01-20,21:24:00,3534.00,3534.00,3534.00,3534.00,39,0\r\n2006-01-20,21:25:00,3535.00,3535.00,3534.00,3534.00,107,0\r\n2006-01-20,21:26:00,3534.00,3535.00,3534.00,3535.00,12,0\r\n2006-01-20,21:27:00,3534.00,3534.00,3534.00,3534.00,106,0\r\n2006-01-20,21:28:00,3534.00,3534.00,3533.00,3533.00,56,0\r\n2006-01-20,21:29:00,3533.00,3535.00,3533.00,3535.00,15,0\r\n2006-01-20,21:30:00,3533.00,3533.00,3533.00,3533.00,10,0\r\n2006-01-20,21:31:00,3534.00,3534.00,3533.00,3534.00,20,0\r\n2006-01-20,21:32:00,3534.00,3534.00,3533.00,3533.00,34,0\r\n2006-01-20,21:33:00,3533.00,3535.00,3533.00,3534.00,191,0\r\n2006-01-20,21:34:00,3534.00,3536.00,3534.00,3534.00,159,0\r\n2006-01-20,21:35:00,3534.00,3535.00,3533.00,3534.00,18,0\r\n2006-01-20,21:36:00,3534.00,3535.00,3534.00,3535.00,8,0\r\n2006-01-20,21:37:00,3533.00,3534.00,3533.00,3533.00,84,0\r\n2006-01-20,21:38:00,3532.00,3533.00,3532.00,3532.00,1125,0\r\n2006-01-20,21:39:00,3532.00,3532.00,3531.00,3531.00,345,0\r\n2006-01-20,21:40:00,3531.00,3531.00,3531.00,3531.00,369,0\r\n2006-01-20,21:41:00,3532.00,3532.00,3531.00,3531.00,433,0\r\n2006-01-20,21:42:00,3531.00,3531.00,3529.00,3530.00,1199,0\r\n2006-01-20,21:43:00,3530.00,3530.00,3529.00,3530.00,19,0\r\n2006-01-20,21:44:00,3530.00,3530.00,3529.00,3530.00,39,0\r\n2006-01-20,21:45:00,3530.00,3530.00,3529.00,3529.00,137,0\r\n2006-01-20,21:46:00,3529.00,3529.00,3527.00,3527.00,17,0\r\n2006-01-20,21:47:00,3527.00,3528.00,3527.00,3528.00,184,0\r\n2006-01-20,21:48:00,3528.00,3528.00,3528.00,3528.00,86,0\r\n2006-01-20,21:49:00,3527.00,3529.00,3527.00,3529.00,182,0\r\n2006-01-20,21:50:00,3529.00,3529.00,3528.00,3529.00,37,0\r\n2006-01-20,21:51:00,3529.00,3529.00,3529.00,3529.00,21,0\r\n2006-01-20,21:52:00,3530.00,3530.00,3530.00,3530.00,19,0\r\n2006-01-20,21:53:00,3530.00,3530.00,3530.00,3530.00,73,0\r\n2006-01-20,21:54:00,3530.00,3532.00,3530.00,3532.00,505,0\r\n2006-01-20,21:55:00,3531.00,3531.00,3530.00,3530.00,263,0\r\n2006-01-20,21:56:00,3531.00,3531.00,3531.00,3531.00,319,0\r\n2006-01-20,21:57:00,3530.00,3530.00,3530.00,3530.00,54,0\r\n2006-01-20,21:58:00,3530.00,3530.00,3528.00,3528.00,49,0\r\n2006-01-20,21:59:00,3528.00,3528.00,3527.00,3527.00,9,0\r\n2006-01-20,22:00:00,3527.00,3528.00,3525.00,3528.00,1003,0\r\n2006-01-23,09:01:00,3525.00,3529.00,3523.00,3526.00,14980,0\r\n2006-01-23,09:02:00,3525.00,3526.00,3521.00,3524.00,10001,0\r\n2006-01-23,09:03:00,3522.00,3524.00,3522.00,3524.00,1895,0\r\n2006-01-23,09:04:00,3524.00,3526.00,3523.00,3524.00,6723,0\r\n2006-01-23,09:05:00,3525.00,3528.00,3524.00,3527.00,3663,0\r\n2006-01-23,09:06:00,3527.00,3530.00,3527.00,3529.00,3599,0\r\n2006-01-23,09:07:00,3528.00,3529.00,3527.00,3527.00,3064,0\r\n2006-01-23,09:08:00,3527.00,3528.00,3526.00,3526.00,2846,0\r\n2006-01-23,09:09:00,3527.00,3527.00,3522.00,3523.00,4636,0\r\n2006-01-23,09:10:00,3523.00,3524.00,3522.00,3524.00,2068,0\r\n2006-01-23,09:11:00,3524.00,3527.00,3523.00,3526.00,3156,0\r\n2006-01-23,09:12:00,3526.00,3526.00,3524.00,3525.00,3789,0\r\n2006-01-23,09:13:00,3525.00,3528.00,3525.00,3526.00,2515,0\r\n2006-01-23,09:14:00,3527.00,3527.00,3526.00,3527.00,2009,0\r\n2006-01-23,09:15:00,3527.00,3530.00,3527.00,3530.00,2565,0\r\n2006-01-23,09:16:00,3530.00,3531.00,3529.00,3531.00,2981,0\r\n2006-01-23,09:17:00,3531.00,3531.00,3529.00,3530.00,2441,0\r\n2006-01-23,09:18:00,3530.00,3533.00,3530.00,3533.00,3658,0\r\n2006-01-23,09:19:00,3533.00,3536.00,3532.00,3535.00,5307,0\r\n2006-01-23,09:20:00,3535.00,3535.00,3532.00,3532.00,3991,0\r\n2006-01-23,09:21:00,3531.00,3533.00,3531.00,3531.00,2520,0\r\n2006-01-23,09:22:00,3532.00,3532.00,3531.00,3531.00,1832,0\r\n2006-01-23,09:23:00,3531.00,3533.00,3530.00,3530.00,1929,0\r\n2006-01-23,09:24:00,3531.00,3531.00,3530.00,3531.00,1932,0\r\n2006-01-23,09:25:00,3531.00,3532.00,3530.00,3532.00,1287,0\r\n2006-01-23,09:26:00,3532.00,3532.00,3530.00,3531.00,1539,0\r\n2006-01-23,09:27:00,3531.00,3531.00,3530.00,3531.00,1172,0\r\n2006-01-23,09:28:00,3532.00,3532.00,3528.00,3529.00,3280,0\r\n2006-01-23,09:29:00,3530.00,3530.00,3528.00,3530.00,2109,0\r\n2006-01-23,09:30:00,3530.00,3531.00,3529.00,3529.00,1613,0\r\n2006-01-23,09:31:00,3529.00,3530.00,3528.00,3528.00,2226,0\r\n2006-01-23,09:32:00,3527.00,3529.00,3527.00,3529.00,1461,0\r\n2006-01-23,09:33:00,3528.00,3529.00,3528.00,3528.00,1612,0\r\n2006-01-23,09:34:00,3528.00,3528.00,3527.00,3528.00,761,0\r\n2006-01-23,09:35:00,3528.00,3529.00,3527.00,3527.00,1182,0\r\n2006-01-23,09:36:00,3527.00,3529.00,3527.00,3528.00,1690,0\r\n2006-01-23,09:37:00,3528.00,3530.00,3528.00,3530.00,1088,0\r\n2006-01-23,09:38:00,3529.00,3530.00,3529.00,3530.00,954,0\r\n2006-01-23,09:39:00,3529.00,3530.00,3529.00,3530.00,762,0\r\n2006-01-23,09:40:00,3530.00,3531.00,3527.00,3528.00,1697,0\r\n2006-01-23,09:41:00,3528.00,3529.00,3528.00,3529.00,1028,0\r\n2006-01-23,09:42:00,3529.00,3530.00,3528.00,3530.00,3086,0\r\n2006-01-23,09:43:00,3530.00,3530.00,3528.00,3528.00,1348,0\r\n2006-01-23,09:44:00,3529.00,3532.00,3529.00,3531.00,3384,0\r\n2006-01-23,09:45:00,3532.00,3533.00,3531.00,3531.00,1046,0\r\n2006-01-23,09:46:00,3531.00,3532.00,3531.00,3531.00,1075,0\r\n2006-01-23,09:47:00,3531.00,3533.00,3531.00,3532.00,1814,0\r\n2006-01-23,09:48:00,3532.00,3533.00,3531.00,3532.00,1182,0\r\n2006-01-23,09:49:00,3532.00,3532.00,3531.00,3532.00,1865,0\r\n2006-01-23,09:50:00,3532.00,3534.00,3532.00,3533.00,1396,0\r\n2006-01-23,09:51:00,3533.00,3535.00,3533.00,3534.00,2142,0\r\n2006-01-23,09:52:00,3535.00,3535.00,3534.00,3535.00,1131,0\r\n2006-01-23,09:53:00,3535.00,3537.00,3535.00,3536.00,3934,0\r\n2006-01-23,09:54:00,3535.00,3538.00,3535.00,3537.00,3501,0\r\n2006-01-23,09:55:00,3537.00,3538.00,3536.00,3537.00,2518,0\r\n2006-01-23,09:56:00,3537.00,3538.00,3536.00,3537.00,700,0\r\n2006-01-23,09:57:00,3537.00,3537.00,3536.00,3536.00,199,0\r\n2006-01-23,09:58:00,3536.00,3537.00,3536.00,3537.00,104,0\r\n2006-01-23,09:59:00,3537.00,3537.00,3536.00,3536.00,250,0\r\n2006-01-23,10:00:00,3537.00,3537.00,3535.00,3535.00,1595,0\r\n2006-01-23,10:01:00,3535.00,3536.00,3535.00,3536.00,820,0\r\n2006-01-23,10:02:00,3535.00,3537.00,3535.00,3537.00,1853,0\r\n2006-01-23,10:03:00,3537.00,3537.00,3536.00,3536.00,1162,0\r\n2006-01-23,10:04:00,3536.00,3537.00,3535.00,3535.00,683,0\r\n2006-01-23,10:05:00,3535.00,3535.00,3533.00,3534.00,2828,0\r\n2006-01-23,10:06:00,3534.00,3536.00,3533.00,3535.00,1272,0\r\n2006-01-23,10:07:00,3535.00,3536.00,3534.00,3536.00,2077,0\r\n2006-01-23,10:08:00,3536.00,3537.00,3535.00,3536.00,421,0\r\n2006-01-23,10:09:00,3536.00,3536.00,3535.00,3536.00,380,0\r\n2006-01-23,10:10:00,3535.00,3535.00,3534.00,3534.00,650,0\r\n2006-01-23,10:11:00,3534.00,3535.00,3533.00,3533.00,530,0\r\n2006-01-23,10:12:00,3534.00,3535.00,3534.00,3535.00,1373,0\r\n2006-01-23,10:13:00,3534.00,3535.00,3533.00,3533.00,940,0\r\n2006-01-23,10:14:00,3534.00,3534.00,3533.00,3533.00,170,0\r\n2006-01-23,10:15:00,3534.00,3534.00,3533.00,3534.00,236,0\r\n2006-01-23,10:16:00,3533.00,3534.00,3533.00,3534.00,654,0\r\n2006-01-23,10:17:00,3534.00,3535.00,3534.00,3534.00,204,0\r\n2006-01-23,10:18:00,3534.00,3535.00,3533.00,3534.00,358,0\r\n2006-01-23,10:19:00,3534.00,3535.00,3534.00,3535.00,585,0\r\n2006-01-23,10:20:00,3535.00,3535.00,3534.00,3535.00,1184,0\r\n2006-01-23,10:21:00,3535.00,3536.00,3534.00,3535.00,4730,0\r\n2006-01-23,10:22:00,3535.00,3536.00,3535.00,3536.00,221,0\r\n2006-01-23,10:23:00,3536.00,3537.00,3535.00,3537.00,2076,0\r\n2006-01-23,10:24:00,3537.00,3537.00,3535.00,3536.00,4842,0\r\n2006-01-23,10:25:00,3536.00,3536.00,3535.00,3535.00,1059,0\r\n2006-01-23,10:26:00,3535.00,3536.00,3535.00,3536.00,833,0\r\n2006-01-23,10:27:00,3535.00,3537.00,3535.00,3536.00,224,0\r\n2006-01-23,10:28:00,3537.00,3538.00,3536.00,3538.00,2276,0\r\n2006-01-23,10:29:00,3538.00,3538.00,3537.00,3537.00,161,0\r\n2006-01-23,10:30:00,3538.00,3538.00,3537.00,3537.00,441,0\r\n2006-01-23,10:31:00,3537.00,3540.00,3537.00,3539.00,3676,0\r\n2006-01-23,10:32:00,3539.00,3539.00,3538.00,3539.00,546,0\r\n2006-01-23,10:33:00,3539.00,3540.00,3538.00,3540.00,2307,0\r\n2006-01-23,10:34:00,3540.00,3542.00,3539.00,3541.00,1614,0\r\n2006-01-23,10:35:00,3542.00,3542.00,3540.00,3541.00,1041,0\r\n2006-01-23,10:36:00,3541.00,3541.00,3539.00,3540.00,883,0\r\n2006-01-23,10:37:00,3539.00,3540.00,3539.00,3540.00,1231,0\r\n2006-01-23,10:38:00,3540.00,3540.00,3539.00,3540.00,121,0\r\n2006-01-23,10:39:00,3540.00,3541.00,3540.00,3541.00,535,0\r\n2006-01-23,10:40:00,3541.00,3541.00,3540.00,3540.00,109,0\r\n2006-01-23,10:41:00,3541.00,3543.00,3541.00,3542.00,2071,0\r\n2006-01-23,10:42:00,3542.00,3543.00,3542.00,3542.00,1856,0\r\n2006-01-23,10:43:00,3543.00,3544.00,3543.00,3543.00,2704,0\r\n2006-01-23,10:44:00,3544.00,3544.00,3543.00,3544.00,1575,0\r\n2006-01-23,10:45:00,3544.00,3544.00,3543.00,3544.00,531,0\r\n2006-01-23,10:46:00,3543.00,3545.00,3543.00,3544.00,875,0\r\n2006-01-23,10:47:00,3545.00,3545.00,3544.00,3545.00,1381,0\r\n2006-01-23,10:48:00,3544.00,3544.00,3543.00,3543.00,2458,0\r\n2006-01-23,10:49:00,3543.00,3543.00,3541.00,3541.00,3971,0\r\n2006-01-23,10:50:00,3541.00,3542.00,3541.00,3541.00,276,0\r\n2006-01-23,10:51:00,3541.00,3542.00,3541.00,3541.00,441,0\r\n2006-01-23,10:52:00,3542.00,3543.00,3542.00,3543.00,1037,0\r\n2006-01-23,10:53:00,3542.00,3543.00,3542.00,3542.00,1056,0\r\n2006-01-23,10:54:00,3542.00,3543.00,3542.00,3543.00,143,0\r\n2006-01-23,10:55:00,3543.00,3543.00,3542.00,3542.00,431,0\r\n2006-01-23,10:56:00,3543.00,3544.00,3543.00,3544.00,3339,0\r\n2006-01-23,10:57:00,3544.00,3544.00,3543.00,3544.00,617,0\r\n2006-01-23,10:58:00,3544.00,3544.00,3542.00,3542.00,464,0\r\n2006-01-23,10:59:00,3542.00,3544.00,3542.00,3544.00,601,0\r\n2006-01-23,11:00:00,3543.00,3544.00,3542.00,3542.00,785,0\r\n2006-01-23,11:01:00,3542.00,3543.00,3540.00,3540.00,2197,0\r\n2006-01-23,11:02:00,3540.00,3541.00,3539.00,3540.00,941,0\r\n2006-01-23,11:03:00,3541.00,3541.00,3540.00,3541.00,63,0\r\n2006-01-23,11:04:00,3541.00,3541.00,3539.00,3539.00,2095,0\r\n2006-01-23,11:05:00,3540.00,3541.00,3538.00,3539.00,1411,0\r\n2006-01-23,11:06:00,3539.00,3539.00,3538.00,3539.00,717,0\r\n2006-01-23,11:07:00,3539.00,3539.00,3538.00,3538.00,685,0\r\n2006-01-23,11:08:00,3539.00,3540.00,3539.00,3539.00,544,0\r\n2006-01-23,11:09:00,3540.00,3540.00,3538.00,3538.00,465,0\r\n2006-01-23,11:10:00,3539.00,3539.00,3538.00,3539.00,1191,0\r\n2006-01-23,11:11:00,3539.00,3540.00,3539.00,3540.00,481,0\r\n2006-01-23,11:12:00,3539.00,3540.00,3539.00,3539.00,459,0\r\n2006-01-23,11:13:00,3540.00,3541.00,3539.00,3540.00,1084,0\r\n2006-01-23,11:14:00,3540.00,3540.00,3539.00,3539.00,764,0\r\n2006-01-23,11:15:00,3539.00,3540.00,3539.00,3539.00,178,0\r\n2006-01-23,11:16:00,3540.00,3540.00,3539.00,3540.00,589,0\r\n2006-01-23,11:17:00,3540.00,3540.00,3539.00,3540.00,416,0\r\n2006-01-23,11:18:00,3540.00,3540.00,3539.00,3540.00,941,0\r\n2006-01-23,11:19:00,3540.00,3540.00,3540.00,3540.00,420,0\r\n2006-01-23,11:20:00,3539.00,3540.00,3539.00,3539.00,78,0\r\n2006-01-23,11:21:00,3539.00,3541.00,3539.00,3541.00,938,0\r\n2006-01-23,11:22:00,3541.00,3542.00,3540.00,3540.00,1138,0\r\n2006-01-23,11:23:00,3541.00,3542.00,3541.00,3542.00,785,0\r\n2006-01-23,11:24:00,3542.00,3543.00,3541.00,3542.00,610,0\r\n2006-01-23,11:25:00,3542.00,3543.00,3542.00,3542.00,806,0\r\n2006-01-23,11:26:00,3542.00,3544.00,3542.00,3543.00,1268,0\r\n2006-01-23,11:27:00,3544.00,3544.00,3543.00,3543.00,361,0\r\n2006-01-23,11:28:00,3543.00,3543.00,3542.00,3542.00,785,0\r\n2006-01-23,11:29:00,3542.00,3542.00,3541.00,3541.00,1003,0\r\n2006-01-23,11:30:00,3541.00,3542.00,3541.00,3541.00,897,0\r\n2006-01-23,11:31:00,3541.00,3542.00,3540.00,3541.00,215,0\r\n2006-01-23,11:32:00,3541.00,3542.00,3540.00,3540.00,761,0\r\n2006-01-23,11:33:00,3541.00,3541.00,3539.00,3539.00,724,0\r\n2006-01-23,11:34:00,3539.00,3540.00,3538.00,3539.00,825,0\r\n2006-01-23,11:35:00,3540.00,3540.00,3540.00,3540.00,138,0\r\n2006-01-23,11:36:00,3539.00,3540.00,3539.00,3540.00,75,0\r\n2006-01-23,11:37:00,3540.00,3540.00,3538.00,3538.00,2405,0\r\n2006-01-23,11:38:00,3538.00,3539.00,3538.00,3539.00,1658,0\r\n2006-01-23,11:39:00,3539.00,3540.00,3539.00,3539.00,190,0\r\n2006-01-23,11:40:00,3539.00,3539.00,3538.00,3538.00,1066,0\r\n2006-01-23,11:41:00,3538.00,3539.00,3538.00,3538.00,85,0\r\n2006-01-23,11:42:00,3538.00,3539.00,3538.00,3539.00,465,0\r\n2006-01-23,11:43:00,3538.00,3539.00,3538.00,3538.00,542,0\r\n2006-01-23,11:44:00,3538.00,3539.00,3538.00,3538.00,464,0\r\n2006-01-23,11:45:00,3538.00,3539.00,3537.00,3538.00,1215,0\r\n2006-01-23,11:46:00,3539.00,3540.00,3539.00,3539.00,660,0\r\n2006-01-23,11:47:00,3539.00,3540.00,3539.00,3540.00,188,0\r\n2006-01-23,11:48:00,3540.00,3540.00,3539.00,3540.00,266,0\r\n2006-01-23,11:49:00,3540.00,3540.00,3539.00,3540.00,321,0\r\n2006-01-23,11:50:00,3540.00,3540.00,3539.00,3540.00,454,0\r\n2006-01-23,11:51:00,3540.00,3540.00,3539.00,3539.00,938,0\r\n2006-01-23,11:52:00,3540.00,3541.00,3539.00,3540.00,541,0\r\n2006-01-23,11:53:00,3540.00,3540.00,3540.00,3540.00,80,0\r\n2006-01-23,11:54:00,3540.00,3540.00,3540.00,3540.00,396,0\r\n2006-01-23,11:55:00,3540.00,3541.00,3540.00,3540.00,137,0\r\n2006-01-23,11:56:00,3540.00,3541.00,3540.00,3541.00,2119,0\r\n2006-01-23,11:57:00,3541.00,3541.00,3540.00,3540.00,210,0\r\n2006-01-23,11:58:00,3541.00,3541.00,3540.00,3540.00,27,0\r\n2006-01-23,11:59:00,3540.00,3540.00,3539.00,3540.00,889,0\r\n2006-01-23,12:00:00,3539.00,3540.00,3539.00,3539.00,404,0\r\n2006-01-23,12:01:00,3539.00,3540.00,3539.00,3540.00,422,0\r\n2006-01-23,12:02:00,3540.00,3540.00,3540.00,3540.00,617,0\r\n2006-01-23,12:03:00,3540.00,3540.00,3540.00,3540.00,118,0\r\n2006-01-23,12:04:00,3540.00,3541.00,3540.00,3540.00,151,0\r\n2006-01-23,12:05:00,3540.00,3540.00,3539.00,3539.00,313,0\r\n2006-01-23,12:06:00,3540.00,3540.00,3539.00,3539.00,226,0\r\n2006-01-23,12:07:00,3539.00,3540.00,3539.00,3540.00,310,0\r\n2006-01-23,12:08:00,3540.00,3541.00,3539.00,3540.00,2092,0\r\n2006-01-23,12:09:00,3540.00,3540.00,3539.00,3540.00,410,0\r\n2006-01-23,12:10:00,3540.00,3540.00,3540.00,3540.00,15,0\r\n2006-01-23,12:11:00,3539.00,3540.00,3539.00,3540.00,233,0\r\n2006-01-23,12:12:00,3540.00,3540.00,3539.00,3540.00,98,0\r\n2006-01-23,12:13:00,3539.00,3540.00,3539.00,3540.00,41,0\r\n2006-01-23,12:14:00,3539.00,3540.00,3539.00,3539.00,478,0\r\n2006-01-23,12:15:00,3540.00,3540.00,3538.00,3538.00,548,0\r\n2006-01-23,12:16:00,3538.00,3538.00,3536.00,3537.00,1871,0\r\n2006-01-23,12:17:00,3537.00,3537.00,3536.00,3536.00,346,0\r\n2006-01-23,12:18:00,3537.00,3537.00,3536.00,3537.00,251,0\r\n2006-01-23,12:19:00,3536.00,3537.00,3536.00,3536.00,339,0\r\n2006-01-23,12:20:00,3537.00,3537.00,3537.00,3537.00,368,0\r\n2006-01-23,12:21:00,3537.00,3537.00,3536.00,3537.00,172,0\r\n2006-01-23,12:22:00,3537.00,3538.00,3536.00,3538.00,1578,0\r\n2006-01-23,12:23:00,3537.00,3537.00,3534.00,3535.00,2847,0\r\n2006-01-23,12:24:00,3535.00,3535.00,3533.00,3534.00,1358,0\r\n2006-01-23,12:25:00,3534.00,3534.00,3531.00,3532.00,3487,0\r\n2006-01-23,12:26:00,3531.00,3532.00,3531.00,3532.00,84,0\r\n2006-01-23,12:27:00,3532.00,3533.00,3531.00,3533.00,960,0\r\n2006-01-23,12:28:00,3532.00,3533.00,3531.00,3532.00,1208,0\r\n2006-01-23,12:29:00,3532.00,3532.00,3531.00,3532.00,866,0\r\n2006-01-23,12:30:00,3533.00,3533.00,3532.00,3532.00,780,0\r\n2006-01-23,12:31:00,3533.00,3534.00,3532.00,3533.00,511,0\r\n2006-01-23,12:32:00,3533.00,3533.00,3533.00,3533.00,721,0\r\n2006-01-23,12:33:00,3533.00,3534.00,3532.00,3532.00,974,0\r\n2006-01-23,12:34:00,3532.00,3532.00,3531.00,3532.00,508,0\r\n2006-01-23,12:35:00,3532.00,3532.00,3530.00,3531.00,1698,0\r\n2006-01-23,12:36:00,3531.00,3532.00,3530.00,3531.00,1341,0\r\n2006-01-23,12:37:00,3530.00,3532.00,3530.00,3531.00,227,0\r\n2006-01-23,12:38:00,3531.00,3532.00,3531.00,3532.00,67,0\r\n2006-01-23,12:39:00,3532.00,3532.00,3531.00,3532.00,731,0\r\n2006-01-23,12:40:00,3532.00,3533.00,3532.00,3532.00,788,0\r\n2006-01-23,12:41:00,3532.00,3532.00,3530.00,3531.00,2043,0\r\n2006-01-23,12:42:00,3531.00,3531.00,3530.00,3530.00,1436,0\r\n2006-01-23,12:43:00,3530.00,3530.00,3528.00,3529.00,2111,0\r\n2006-01-23,12:44:00,3529.00,3529.00,3528.00,3529.00,238,0\r\n2006-01-23,12:45:00,3528.00,3529.00,3528.00,3528.00,607,0\r\n2006-01-23,12:46:00,3529.00,3529.00,3527.00,3528.00,523,0\r\n2006-01-23,12:47:00,3528.00,3529.00,3527.00,3529.00,1474,0\r\n2006-01-23,12:48:00,3529.00,3529.00,3527.00,3527.00,465,0\r\n2006-01-23,12:49:00,3528.00,3529.00,3528.00,3528.00,307,0\r\n2006-01-23,12:50:00,3528.00,3528.00,3527.00,3528.00,384,0\r\n2006-01-23,12:51:00,3527.00,3528.00,3527.00,3528.00,401,0\r\n2006-01-23,12:52:00,3528.00,3529.00,3528.00,3529.00,232,0\r\n2006-01-23,12:53:00,3529.00,3530.00,3528.00,3529.00,1643,0\r\n2006-01-23,12:54:00,3529.00,3530.00,3529.00,3530.00,638,0\r\n2006-01-23,12:55:00,3530.00,3530.00,3529.00,3530.00,1519,0\r\n2006-01-23,12:56:00,3530.00,3530.00,3529.00,3530.00,228,0\r\n2006-01-23,12:58:00,3530.00,3530.00,3530.00,3530.00,80,0\r\n2006-01-23,12:59:00,3530.00,3530.00,3529.00,3530.00,956,0\r\n2006-01-23,13:00:00,3530.00,3531.00,3529.00,3529.00,717,0\r\n2006-01-23,13:01:00,3529.00,3530.00,3528.00,3529.00,1039,0\r\n2006-01-23,13:02:00,3530.00,3530.00,3529.00,3530.00,430,0\r\n2006-01-23,13:03:00,3530.00,3530.00,3530.00,3530.00,291,0\r\n2006-01-23,13:04:00,3530.00,3531.00,3530.00,3531.00,355,0\r\n2006-01-23,13:05:00,3531.00,3531.00,3530.00,3530.00,969,0\r\n2006-01-23,13:06:00,3531.00,3531.00,3530.00,3530.00,616,0\r\n2006-01-23,13:07:00,3531.00,3532.00,3530.00,3532.00,804,0\r\n2006-01-23,13:08:00,3532.00,3532.00,3532.00,3532.00,694,0\r\n2006-01-23,13:09:00,3532.00,3534.00,3532.00,3534.00,867,0\r\n2006-01-23,13:10:00,3534.00,3534.00,3533.00,3534.00,85,0\r\n2006-01-23,13:11:00,3533.00,3534.00,3533.00,3534.00,102,0\r\n2006-01-23,13:12:00,3534.00,3534.00,3534.00,3534.00,399,0\r\n2006-01-23,13:13:00,3534.00,3534.00,3533.00,3533.00,328,0\r\n2006-01-23,13:14:00,3534.00,3535.00,3534.00,3534.00,662,0\r\n2006-01-23,13:15:00,3534.00,3535.00,3534.00,3535.00,258,0\r\n2006-01-23,13:16:00,3535.00,3535.00,3534.00,3535.00,218,0\r\n2006-01-23,13:17:00,3535.00,3536.00,3535.00,3535.00,912,0\r\n2006-01-23,13:18:00,3536.00,3537.00,3535.00,3537.00,1116,0\r\n2006-01-23,13:19:00,3537.00,3537.00,3536.00,3536.00,592,0\r\n2006-01-23,13:20:00,3537.00,3537.00,3536.00,3537.00,276,0\r\n2006-01-23,13:21:00,3537.00,3537.00,3537.00,3537.00,175,0\r\n2006-01-23,13:22:00,3537.00,3537.00,3536.00,3537.00,194,0\r\n2006-01-23,13:23:00,3536.00,3537.00,3536.00,3536.00,430,0\r\n2006-01-23,13:24:00,3536.00,3537.00,3536.00,3537.00,351,0\r\n2006-01-23,13:25:00,3537.00,3537.00,3536.00,3537.00,662,0\r\n2006-01-23,13:26:00,3537.00,3537.00,3536.00,3536.00,31,0\r\n2006-01-23,13:27:00,3536.00,3537.00,3536.00,3537.00,504,0\r\n2006-01-23,13:28:00,3537.00,3537.00,3536.00,3536.00,417,0\r\n2006-01-23,13:29:00,3536.00,3536.00,3536.00,3536.00,519,0\r\n2006-01-23,13:30:00,3537.00,3537.00,3537.00,3537.00,50,0\r\n2006-01-23,13:31:00,3537.00,3539.00,3537.00,3538.00,2545,0\r\n2006-01-23,13:32:00,3539.00,3539.00,3538.00,3539.00,890,0\r\n2006-01-23,13:33:00,3538.00,3540.00,3538.00,3539.00,902,0\r\n2006-01-23,13:34:00,3539.00,3539.00,3538.00,3538.00,550,0\r\n2006-01-23,13:35:00,3538.00,3538.00,3537.00,3538.00,187,0\r\n2006-01-23,13:36:00,3538.00,3539.00,3537.00,3539.00,337,0\r\n2006-01-23,13:37:00,3538.00,3539.00,3538.00,3539.00,876,0\r\n2006-01-23,13:38:00,3539.00,3539.00,3537.00,3538.00,1183,0\r\n2006-01-23,13:39:00,3537.00,3538.00,3537.00,3538.00,510,0\r\n2006-01-23,13:40:00,3537.00,3537.00,3536.00,3537.00,617,0\r\n2006-01-23,13:41:00,3537.00,3538.00,3537.00,3538.00,305,0\r\n2006-01-23,13:42:00,3537.00,3537.00,3536.00,3536.00,257,0\r\n2006-01-23,13:43:00,3537.00,3537.00,3537.00,3537.00,341,0\r\n2006-01-23,13:44:00,3538.00,3538.00,3538.00,3538.00,6,0\r\n2006-01-23,13:45:00,3538.00,3538.00,3538.00,3538.00,103,0\r\n2006-01-23,13:46:00,3537.00,3537.00,3537.00,3537.00,74,0\r\n2006-01-23,13:47:00,3537.00,3538.00,3537.00,3538.00,24,0\r\n2006-01-23,13:48:00,3538.00,3540.00,3538.00,3540.00,3853,0\r\n2006-01-23,13:49:00,3539.00,3542.00,3539.00,3541.00,1260,0\r\n2006-01-23,13:50:00,3542.00,3542.00,3541.00,3541.00,669,0\r\n2006-01-23,13:51:00,3542.00,3542.00,3540.00,3540.00,1118,0\r\n2006-01-23,13:52:00,3540.00,3541.00,3540.00,3540.00,577,0\r\n2006-01-23,13:53:00,3540.00,3540.00,3539.00,3539.00,110,0\r\n2006-01-23,13:54:00,3539.00,3539.00,3539.00,3539.00,8,0\r\n2006-01-23,13:55:00,3539.00,3539.00,3538.00,3538.00,438,0\r\n2006-01-23,13:56:00,3538.00,3539.00,3538.00,3539.00,50,0\r\n2006-01-23,13:57:00,3539.00,3539.00,3539.00,3539.00,37,0\r\n2006-01-23,13:58:00,3539.00,3539.00,3539.00,3539.00,169,0\r\n2006-01-23,13:59:00,3538.00,3538.00,3538.00,3538.00,25,0\r\n2006-01-23,14:00:00,3538.00,3539.00,3538.00,3539.00,93,0\r\n2006-01-23,14:01:00,3539.00,3539.00,3536.00,3536.00,1157,0\r\n2006-01-23,14:02:00,3537.00,3538.00,3537.00,3538.00,971,0\r\n2006-01-23,14:03:00,3538.00,3539.00,3538.00,3538.00,396,0\r\n2006-01-23,14:04:00,3539.00,3539.00,3539.00,3539.00,649,0\r\n2006-01-23,14:05:00,3539.00,3540.00,3539.00,3540.00,167,0\r\n2006-01-23,14:06:00,3539.00,3540.00,3539.00,3539.00,15,0\r\n2006-01-23,14:07:00,3540.00,3540.00,3539.00,3539.00,1002,0\r\n2006-01-23,14:08:00,3539.00,3541.00,3539.00,3541.00,928,0\r\n2006-01-23,14:09:00,3541.00,3542.00,3541.00,3542.00,884,0\r\n2006-01-23,14:10:00,3542.00,3543.00,3542.00,3542.00,274,0\r\n2006-01-23,14:11:00,3542.00,3543.00,3542.00,3542.00,518,0\r\n2006-01-23,14:12:00,3542.00,3542.00,3542.00,3542.00,285,0\r\n2006-01-23,14:13:00,3542.00,3543.00,3542.00,3543.00,69,0\r\n2006-01-23,14:14:00,3543.00,3543.00,3542.00,3542.00,71,0\r\n2006-01-23,14:15:00,3542.00,3542.00,3542.00,3542.00,198,0\r\n2006-01-23,14:16:00,3541.00,3542.00,3541.00,3541.00,83,0\r\n2006-01-23,14:17:00,3542.00,3542.00,3542.00,3542.00,474,0\r\n2006-01-23,14:18:00,3542.00,3542.00,3541.00,3542.00,371,0\r\n2006-01-23,14:19:00,3541.00,3541.00,3541.00,3541.00,211,0\r\n2006-01-23,14:20:00,3541.00,3541.00,3540.00,3541.00,313,0\r\n2006-01-23,14:21:00,3540.00,3540.00,3540.00,3540.00,6,0\r\n2006-01-23,14:22:00,3540.00,3541.00,3540.00,3541.00,338,0\r\n2006-01-23,14:23:00,3540.00,3542.00,3540.00,3542.00,482,0\r\n2006-01-23,14:24:00,3541.00,3541.00,3541.00,3541.00,275,0\r\n2006-01-23,14:25:00,3541.00,3542.00,3541.00,3542.00,225,0\r\n2006-01-23,14:26:00,3542.00,3542.00,3541.00,3542.00,171,0\r\n2006-01-23,14:27:00,3541.00,3541.00,3541.00,3541.00,45,0\r\n2006-01-23,14:28:00,3541.00,3541.00,3541.00,3541.00,11,0\r\n2006-01-23,14:29:00,3542.00,3542.00,3541.00,3541.00,262,0\r\n2006-01-23,14:30:00,3541.00,3541.00,3540.00,3540.00,20,0\r\n2006-01-23,14:31:00,3540.00,3540.00,3540.00,3540.00,52,0\r\n2006-01-23,14:32:00,3540.00,3541.00,3540.00,3541.00,615,0\r\n2006-01-23,14:33:00,3541.00,3541.00,3540.00,3541.00,204,0\r\n2006-01-23,14:34:00,3541.00,3541.00,3540.00,3540.00,474,0\r\n2006-01-23,14:35:00,3540.00,3541.00,3540.00,3540.00,303,0\r\n2006-01-23,14:36:00,3539.00,3540.00,3539.00,3540.00,155,0\r\n2006-01-23,14:37:00,3540.00,3541.00,3540.00,3540.00,707,0\r\n2006-01-23,14:38:00,3541.00,3541.00,3540.00,3541.00,156,0\r\n2006-01-23,14:39:00,3541.00,3541.00,3540.00,3541.00,48,0\r\n2006-01-23,14:40:00,3540.00,3540.00,3540.00,3540.00,3,0\r\n2006-01-23,14:41:00,3540.00,3541.00,3539.00,3540.00,180,0\r\n2006-01-23,14:42:00,3540.00,3540.00,3539.00,3539.00,66,0\r\n2006-01-23,14:43:00,3540.00,3540.00,3539.00,3540.00,260,0\r\n2006-01-23,14:44:00,3540.00,3540.00,3540.00,3540.00,47,0\r\n2006-01-23,14:45:00,3541.00,3541.00,3540.00,3541.00,214,0\r\n2006-01-23,14:46:00,3541.00,3542.00,3541.00,3541.00,104,0\r\n2006-01-23,14:47:00,3541.00,3542.00,3541.00,3542.00,457,0\r\n2006-01-23,14:48:00,3542.00,3543.00,3542.00,3542.00,102,0\r\n2006-01-23,14:49:00,3543.00,3543.00,3542.00,3542.00,523,0\r\n2006-01-23,14:50:00,3543.00,3543.00,3542.00,3543.00,114,0\r\n2006-01-23,14:51:00,3542.00,3543.00,3541.00,3541.00,939,0\r\n2006-01-23,14:52:00,3541.00,3541.00,3541.00,3541.00,241,0\r\n2006-01-23,14:53:00,3541.00,3541.00,3541.00,3541.00,133,0\r\n2006-01-23,14:54:00,3541.00,3541.00,3540.00,3540.00,355,0\r\n2006-01-23,14:55:00,3540.00,3542.00,3540.00,3542.00,575,0\r\n2006-01-23,14:56:00,3542.00,3542.00,3541.00,3541.00,167,0\r\n2006-01-23,14:57:00,3542.00,3542.00,3540.00,3541.00,710,0\r\n2006-01-23,14:58:00,3540.00,3541.00,3540.00,3540.00,641,0\r\n2006-01-23,14:59:00,3540.00,3540.00,3539.00,3540.00,705,0\r\n2006-01-23,15:00:00,3540.00,3540.00,3538.00,3538.00,1370,0\r\n2006-01-23,15:01:00,3538.00,3538.00,3537.00,3537.00,1512,0\r\n2006-01-23,15:02:00,3537.00,3539.00,3537.00,3538.00,1339,0\r\n2006-01-23,15:03:00,3539.00,3539.00,3539.00,3539.00,309,0\r\n2006-01-23,15:04:00,3539.00,3539.00,3539.00,3539.00,340,0\r\n2006-01-23,15:05:00,3539.00,3540.00,3538.00,3538.00,378,0\r\n2006-01-23,15:06:00,3538.00,3539.00,3538.00,3539.00,169,0\r\n2006-01-23,15:07:00,3539.00,3539.00,3538.00,3538.00,251,0\r\n2006-01-23,15:08:00,3539.00,3539.00,3539.00,3539.00,10,0\r\n2006-01-23,15:09:00,3539.00,3539.00,3539.00,3539.00,37,0\r\n2006-01-23,15:10:00,3538.00,3539.00,3538.00,3539.00,360,0\r\n2006-01-23,15:11:00,3539.00,3539.00,3539.00,3539.00,28,0\r\n2006-01-23,15:12:00,3538.00,3539.00,3538.00,3538.00,667,0\r\n2006-01-23,15:13:00,3538.00,3538.00,3538.00,3538.00,52,0\r\n2006-01-23,15:14:00,3537.00,3538.00,3537.00,3538.00,234,0\r\n2006-01-23,15:15:00,3538.00,3539.00,3537.00,3539.00,213,0\r\n2006-01-23,15:16:00,3538.00,3539.00,3538.00,3538.00,85,0\r\n2006-01-23,15:17:00,3539.00,3539.00,3538.00,3539.00,72,0\r\n2006-01-23,15:18:00,3538.00,3539.00,3538.00,3539.00,48,0\r\n2006-01-23,15:19:00,3538.00,3539.00,3538.00,3538.00,396,0\r\n2006-01-23,15:20:00,3539.00,3539.00,3539.00,3539.00,13,0\r\n2006-01-23,15:21:00,3538.00,3539.00,3538.00,3538.00,77,0\r\n2006-01-23,15:22:00,3539.00,3539.00,3538.00,3539.00,403,0\r\n2006-01-23,15:23:00,3539.00,3540.00,3539.00,3539.00,694,0\r\n2006-01-23,15:24:00,3540.00,3540.00,3539.00,3540.00,141,0\r\n2006-01-23,15:25:00,3539.00,3540.00,3539.00,3540.00,410,0\r\n2006-01-23,15:26:00,3540.00,3541.00,3540.00,3541.00,8,0\r\n2006-01-23,15:27:00,3541.00,3541.00,3540.00,3540.00,870,0\r\n2006-01-23,15:28:00,3541.00,3542.00,3540.00,3541.00,241,0\r\n2006-01-23,15:29:00,3541.00,3542.00,3540.00,3541.00,255,0\r\n2006-01-23,15:30:00,3540.00,3541.00,3540.00,3540.00,114,0\r\n2006-01-23,15:31:00,3540.00,3540.00,3540.00,3540.00,152,0\r\n2006-01-23,15:32:00,3541.00,3541.00,3539.00,3539.00,128,0\r\n2006-01-23,15:33:00,3539.00,3540.00,3538.00,3539.00,728,0\r\n2006-01-23,15:34:00,3539.00,3539.00,3539.00,3539.00,519,0\r\n2006-01-23,15:35:00,3539.00,3540.00,3539.00,3540.00,510,0\r\n2006-01-23,15:36:00,3540.00,3540.00,3540.00,3540.00,634,0\r\n2006-01-23,15:37:00,3541.00,3541.00,3538.00,3540.00,1769,0\r\n2006-01-23,15:38:00,3540.00,3540.00,3539.00,3540.00,784,0\r\n2006-01-23,15:39:00,3540.00,3540.00,3538.00,3538.00,211,0\r\n2006-01-23,15:40:00,3539.00,3541.00,3538.00,3540.00,2214,0\r\n2006-01-23,15:41:00,3540.00,3541.00,3539.00,3540.00,312,0\r\n2006-01-23,15:42:00,3541.00,3541.00,3539.00,3541.00,913,0\r\n2006-01-23,15:43:00,3541.00,3541.00,3539.00,3540.00,1185,0\r\n2006-01-23,15:44:00,3540.00,3541.00,3539.00,3540.00,1367,0\r\n2006-01-23,15:45:00,3540.00,3541.00,3540.00,3540.00,210,0\r\n2006-01-23,15:46:00,3540.00,3540.00,3539.00,3539.00,783,0\r\n2006-01-23,15:47:00,3538.00,3539.00,3537.00,3538.00,1077,0\r\n2006-01-23,15:48:00,3538.00,3538.00,3537.00,3537.00,1407,0\r\n2006-01-23,15:49:00,3538.00,3539.00,3538.00,3538.00,867,0\r\n2006-01-23,15:50:00,3538.00,3541.00,3538.00,3540.00,824,0\r\n2006-01-23,15:51:00,3540.00,3540.00,3539.00,3539.00,805,0\r\n2006-01-23,15:52:00,3539.00,3540.00,3538.00,3539.00,222,0\r\n2006-01-23,15:53:00,3539.00,3540.00,3539.00,3540.00,768,0\r\n2006-01-23,15:54:00,3541.00,3541.00,3539.00,3539.00,1003,0\r\n2006-01-23,15:55:00,3539.00,3540.00,3538.00,3539.00,1080,0\r\n2006-01-23,15:56:00,3539.00,3540.00,3539.00,3539.00,512,0\r\n2006-01-23,15:57:00,3538.00,3539.00,3538.00,3538.00,1047,0\r\n2006-01-23,15:58:00,3538.00,3538.00,3537.00,3537.00,1401,0\r\n2006-01-23,15:59:00,3538.00,3538.00,3537.00,3538.00,1102,0\r\n2006-01-23,16:00:00,3537.00,3537.00,3534.00,3534.00,2088,0\r\n2006-01-23,16:01:00,3534.00,3535.00,3533.00,3534.00,2838,0\r\n2006-01-23,16:02:00,3534.00,3534.00,3530.00,3531.00,4445,0\r\n2006-01-23,16:03:00,3531.00,3532.00,3531.00,3532.00,1822,0\r\n2006-01-23,16:04:00,3532.00,3533.00,3530.00,3530.00,1787,0\r\n2006-01-23,16:05:00,3530.00,3532.00,3529.00,3531.00,2260,0\r\n2006-01-23,16:06:00,3532.00,3532.00,3531.00,3531.00,756,0\r\n2006-01-23,16:07:00,3532.00,3532.00,3530.00,3531.00,1431,0\r\n2006-01-23,16:08:00,3530.00,3530.00,3529.00,3529.00,1660,0\r\n2006-01-23,16:09:00,3530.00,3531.00,3529.00,3530.00,2384,0\r\n2006-01-23,16:10:00,3530.00,3532.00,3529.00,3532.00,2527,0\r\n2006-01-23,16:11:00,3532.00,3535.00,3532.00,3535.00,1690,0\r\n2006-01-23,16:12:00,3535.00,3536.00,3535.00,3536.00,606,0\r\n2006-01-23,16:13:00,3536.00,3536.00,3534.00,3535.00,2237,0\r\n2006-01-23,16:14:00,3535.00,3536.00,3534.00,3536.00,719,0\r\n2006-01-23,16:15:00,3536.00,3536.00,3535.00,3536.00,322,0\r\n2006-01-23,16:16:00,3535.00,3537.00,3535.00,3537.00,1226,0\r\n2006-01-23,16:17:00,3537.00,3538.00,3536.00,3537.00,1139,0\r\n2006-01-23,16:18:00,3537.00,3537.00,3536.00,3536.00,271,0\r\n2006-01-23,16:19:00,3536.00,3536.00,3535.00,3536.00,1141,0\r\n2006-01-23,16:20:00,3536.00,3536.00,3535.00,3535.00,427,0\r\n2006-01-23,16:21:00,3536.00,3538.00,3535.00,3538.00,1604,0\r\n2006-01-23,16:22:00,3538.00,3538.00,3537.00,3538.00,759,0\r\n2006-01-23,16:23:00,3538.00,3540.00,3538.00,3538.00,1840,0\r\n2006-01-23,16:24:00,3539.00,3540.00,3539.00,3540.00,298,0\r\n2006-01-23,16:25:00,3540.00,3543.00,3540.00,3542.00,4395,0\r\n2006-01-23,16:26:00,3542.00,3543.00,3541.00,3542.00,1331,0\r\n2006-01-23,16:27:00,3542.00,3543.00,3541.00,3543.00,1907,0\r\n2006-01-23,16:28:00,3542.00,3544.00,3542.00,3544.00,2787,0\r\n2006-01-23,16:29:00,3543.00,3544.00,3542.00,3542.00,1724,0\r\n2006-01-23,16:30:00,3541.00,3542.00,3541.00,3542.00,2320,0\r\n2006-01-23,16:31:00,3542.00,3544.00,3541.00,3543.00,1237,0\r\n2006-01-23,16:32:00,3543.00,3543.00,3542.00,3543.00,995,0\r\n2006-01-23,16:33:00,3543.00,3543.00,3542.00,3542.00,1026,0\r\n2006-01-23,16:34:00,3543.00,3543.00,3541.00,3542.00,1469,0\r\n2006-01-23,16:35:00,3541.00,3541.00,3538.00,3538.00,5908,0\r\n2006-01-23,16:36:00,3538.00,3539.00,3538.00,3539.00,1263,0\r\n2006-01-23,16:37:00,3538.00,3539.00,3537.00,3538.00,907,0\r\n2006-01-23,16:38:00,3537.00,3539.00,3537.00,3538.00,882,0\r\n2006-01-23,16:39:00,3539.00,3539.00,3537.00,3538.00,1419,0\r\n2006-01-23,16:40:00,3538.00,3538.00,3537.00,3538.00,458,0\r\n2006-01-23,16:41:00,3537.00,3537.00,3536.00,3537.00,1898,0\r\n2006-01-23,16:42:00,3537.00,3537.00,3535.00,3537.00,2139,0\r\n2006-01-23,16:43:00,3536.00,3537.00,3535.00,3536.00,1696,0\r\n2006-01-23,16:44:00,3536.00,3539.00,3535.00,3539.00,1644,0\r\n2006-01-23,16:45:00,3539.00,3539.00,3538.00,3539.00,993,0\r\n2006-01-23,16:46:00,3540.00,3540.00,3538.00,3539.00,1791,0\r\n2006-01-23,16:47:00,3539.00,3541.00,3539.00,3541.00,463,0\r\n2006-01-23,16:48:00,3541.00,3543.00,3540.00,3541.00,3924,0\r\n2006-01-23,16:49:00,3541.00,3542.00,3540.00,3541.00,2125,0\r\n2006-01-23,16:50:00,3540.00,3541.00,3539.00,3540.00,986,0\r\n2006-01-23,16:51:00,3540.00,3540.00,3540.00,3540.00,228,0\r\n2006-01-23,16:52:00,3540.00,3542.00,3540.00,3541.00,1316,0\r\n2006-01-23,16:53:00,3540.00,3540.00,3539.00,3540.00,1297,0\r\n2006-01-23,16:54:00,3540.00,3541.00,3540.00,3541.00,1939,0\r\n2006-01-23,16:55:00,3540.00,3543.00,3540.00,3542.00,1540,0\r\n2006-01-23,16:56:00,3542.00,3543.00,3541.00,3543.00,1099,0\r\n2006-01-23,16:57:00,3543.00,3544.00,3542.00,3544.00,7847,0\r\n2006-01-23,16:58:00,3544.00,3545.00,3543.00,3544.00,3413,0\r\n2006-01-23,16:59:00,3543.00,3544.00,3542.00,3542.00,1688,0\r\n2006-01-23,17:00:00,3543.00,3544.00,3542.00,3543.00,2400,0\r\n2006-01-23,17:01:00,3543.00,3543.00,3542.00,3543.00,2009,0\r\n2006-01-23,17:02:00,3543.00,3545.00,3543.00,3544.00,1813,0\r\n2006-01-23,17:03:00,3544.00,3547.00,3544.00,3546.00,4611,0\r\n2006-01-23,17:04:00,3547.00,3548.00,3546.00,3548.00,2100,0\r\n2006-01-23,17:05:00,3548.00,3548.00,3545.00,3545.00,2218,0\r\n2006-01-23,17:06:00,3546.00,3548.00,3546.00,3547.00,2063,0\r\n2006-01-23,17:07:00,3547.00,3548.00,3547.00,3548.00,1481,0\r\n2006-01-23,17:08:00,3548.00,3549.00,3547.00,3548.00,1695,0\r\n2006-01-23,17:09:00,3548.00,3548.00,3547.00,3548.00,1351,0\r\n2006-01-23,17:10:00,3548.00,3549.00,3548.00,3549.00,2314,0\r\n2006-01-23,17:11:00,3550.00,3552.00,3549.00,3551.00,4224,0\r\n2006-01-23,17:12:00,3551.00,3551.00,3550.00,3551.00,2507,0\r\n2006-01-23,17:13:00,3551.00,3551.00,3550.00,3551.00,2190,0\r\n2006-01-23,17:14:00,3552.00,3554.00,3551.00,3554.00,5029,0\r\n2006-01-23,17:15:00,3553.00,3554.00,3552.00,3553.00,3697,0\r\n2006-01-23,17:16:00,3552.00,3553.00,3552.00,3553.00,2227,0\r\n2006-01-23,17:17:00,3553.00,3554.00,3552.00,3553.00,2509,0\r\n2006-01-23,17:18:00,3552.00,3553.00,3552.00,3553.00,2608,0\r\n2006-01-23,17:19:00,3553.00,3553.00,3552.00,3553.00,299,0\r\n2006-01-23,17:20:00,3553.00,3553.00,3552.00,3553.00,1331,0\r\n2006-01-23,17:21:00,3553.00,3554.00,3552.00,3553.00,1565,0\r\n2006-01-23,17:22:00,3552.00,3553.00,3552.00,3552.00,616,0\r\n2006-01-23,17:23:00,3552.00,3553.00,3551.00,3551.00,1159,0\r\n2006-01-23,17:24:00,3552.00,3552.00,3551.00,3552.00,463,0\r\n2006-01-23,17:25:00,3551.00,3552.00,3551.00,3552.00,957,0\r\n2006-01-23,17:26:00,3552.00,3553.00,3551.00,3553.00,1267,0\r\n2006-01-23,17:27:00,3553.00,3553.00,3552.00,3552.00,953,0\r\n2006-01-23,17:28:00,3553.00,3553.00,3552.00,3552.00,2049,0\r\n2006-01-23,17:29:00,3553.00,3553.00,3552.00,3553.00,1112,0\r\n2006-01-23,17:30:00,3553.00,3554.00,3552.00,3553.00,6377,0\r\n2006-01-23,17:31:00,3554.00,3554.00,3553.00,3554.00,2764,0\r\n2006-01-23,17:32:00,3553.00,3553.00,3552.00,3553.00,1806,0\r\n2006-01-23,17:33:00,3552.00,3554.00,3551.00,3552.00,3084,0\r\n2006-01-23,17:34:00,3551.00,3552.00,3550.00,3551.00,1707,0\r\n2006-01-23,17:35:00,3550.00,3551.00,3550.00,3551.00,1275,0\r\n2006-01-23,17:36:00,3551.00,3551.00,3549.00,3549.00,3871,0\r\n2006-01-23,17:37:00,3550.00,3550.00,3548.00,3550.00,1697,0\r\n2006-01-23,17:38:00,3550.00,3550.00,3549.00,3550.00,598,0\r\n2006-01-23,17:39:00,3549.00,3549.00,3548.00,3549.00,2426,0\r\n2006-01-23,17:40:00,3548.00,3548.00,3547.00,3548.00,373,0\r\n2006-01-23,17:41:00,3547.00,3548.00,3547.00,3548.00,1586,0\r\n2006-01-23,17:42:00,3548.00,3550.00,3548.00,3550.00,1533,0\r\n2006-01-23,17:43:00,3550.00,3550.00,3549.00,3550.00,1028,0\r\n2006-01-23,17:44:00,3550.00,3550.00,3549.00,3549.00,576,0\r\n2006-01-23,17:45:00,3549.00,3549.00,3548.00,3549.00,674,0\r\n2006-01-23,17:46:00,3549.00,3550.00,3549.00,3550.00,437,0\r\n2006-01-23,17:47:00,3550.00,3550.00,3549.00,3550.00,534,0\r\n2006-01-23,17:48:00,3550.00,3550.00,3550.00,3550.00,1431,0\r\n2006-01-23,17:49:00,3550.00,3551.00,3550.00,3551.00,260,0\r\n2006-01-23,17:50:00,3551.00,3552.00,3550.00,3552.00,1197,0\r\n2006-01-23,17:51:00,3552.00,3552.00,3551.00,3551.00,997,0\r\n2006-01-23,17:52:00,3551.00,3553.00,3551.00,3553.00,352,0\r\n2006-01-23,17:53:00,3552.00,3552.00,3551.00,3551.00,557,0\r\n2006-01-23,17:54:00,3551.00,3553.00,3551.00,3553.00,998,0\r\n2006-01-23,17:55:00,3553.00,3553.00,3552.00,3553.00,169,0\r\n2006-01-23,17:56:00,3553.00,3554.00,3552.00,3553.00,669,0\r\n2006-01-23,17:57:00,3553.00,3553.00,3553.00,3553.00,73,0\r\n2006-01-23,17:58:00,3552.00,3552.00,3551.00,3551.00,824,0\r\n2006-01-23,17:59:00,3551.00,3552.00,3551.00,3551.00,772,0\r\n2006-01-23,18:00:00,3551.00,3551.00,3550.00,3550.00,88,0\r\n2006-01-23,18:01:00,3550.00,3550.00,3549.00,3550.00,284,0\r\n2006-01-23,18:02:00,3550.00,3550.00,3549.00,3549.00,268,0\r\n2006-01-23,18:03:00,3549.00,3550.00,3549.00,3550.00,550,0\r\n2006-01-23,18:04:00,3549.00,3549.00,3548.00,3548.00,160,0\r\n2006-01-23,18:05:00,3549.00,3549.00,3548.00,3549.00,646,0\r\n2006-01-23,18:06:00,3549.00,3549.00,3548.00,3549.00,233,0\r\n2006-01-23,18:07:00,3549.00,3549.00,3549.00,3549.00,155,0\r\n2006-01-23,18:08:00,3550.00,3550.00,3548.00,3548.00,333,0\r\n2006-01-23,18:09:00,3548.00,3548.00,3547.00,3547.00,556,0\r\n2006-01-23,18:10:00,3547.00,3548.00,3547.00,3548.00,48,0\r\n2006-01-23,18:11:00,3548.00,3548.00,3547.00,3547.00,644,0\r\n2006-01-23,18:12:00,3547.00,3547.00,3546.00,3547.00,201,0\r\n2006-01-23,18:13:00,3547.00,3547.00,3546.00,3546.00,1016,0\r\n2006-01-23,18:14:00,3547.00,3547.00,3547.00,3547.00,697,0\r\n2006-01-23,18:15:00,3547.00,3547.00,3547.00,3547.00,212,0\r\n2006-01-23,18:16:00,3548.00,3548.00,3547.00,3547.00,18,0\r\n2006-01-23,18:17:00,3548.00,3548.00,3547.00,3547.00,450,0\r\n2006-01-23,18:18:00,3547.00,3547.00,3547.00,3547.00,278,0\r\n2006-01-23,18:19:00,3546.00,3546.00,3545.00,3545.00,773,0\r\n2006-01-23,18:20:00,3545.00,3546.00,3545.00,3546.00,1299,0\r\n2006-01-23,18:21:00,3546.00,3546.00,3546.00,3546.00,293,0\r\n2006-01-23,18:22:00,3546.00,3547.00,3546.00,3547.00,93,0\r\n2006-01-23,18:23:00,3547.00,3547.00,3545.00,3546.00,123,0\r\n2006-01-23,18:24:00,3546.00,3546.00,3545.00,3545.00,150,0\r\n2006-01-23,18:25:00,3545.00,3545.00,3540.00,3541.00,4076,0\r\n2006-01-23,18:26:00,3542.00,3542.00,3540.00,3540.00,1456,0\r\n2006-01-23,18:27:00,3541.00,3542.00,3540.00,3541.00,588,0\r\n2006-01-23,18:28:00,3541.00,3542.00,3540.00,3542.00,409,0\r\n2006-01-23,18:29:00,3542.00,3542.00,3541.00,3541.00,393,0\r\n2006-01-23,18:30:00,3541.00,3541.00,3540.00,3541.00,1426,0\r\n2006-01-23,18:31:00,3540.00,3542.00,3540.00,3542.00,753,0\r\n2006-01-23,18:32:00,3541.00,3543.00,3541.00,3543.00,877,0\r\n2006-01-23,18:33:00,3543.00,3544.00,3543.00,3543.00,755,0\r\n2006-01-23,18:34:00,3543.00,3544.00,3543.00,3544.00,54,0\r\n2006-01-23,18:35:00,3543.00,3543.00,3542.00,3543.00,582,0\r\n2006-01-23,18:36:00,3543.00,3543.00,3543.00,3543.00,52,0\r\n2006-01-23,18:37:00,3543.00,3543.00,3541.00,3541.00,456,0\r\n2006-01-23,18:38:00,3541.00,3543.00,3541.00,3543.00,472,0\r\n2006-01-23,18:39:00,3543.00,3543.00,3543.00,3543.00,498,0\r\n2006-01-23,18:40:00,3542.00,3542.00,3541.00,3541.00,115,0\r\n2006-01-23,18:41:00,3542.00,3542.00,3541.00,3541.00,473,0\r\n2006-01-23,18:42:00,3541.00,3541.00,3539.00,3539.00,485,0\r\n2006-01-23,18:43:00,3539.00,3540.00,3538.00,3539.00,1025,0\r\n2006-01-23,18:44:00,3539.00,3539.00,3537.00,3538.00,689,0\r\n2006-01-23,18:45:00,3538.00,3539.00,3538.00,3539.00,166,0\r\n2006-01-23,18:46:00,3539.00,3539.00,3539.00,3539.00,20,0\r\n2006-01-23,18:47:00,3539.00,3540.00,3538.00,3540.00,609,0\r\n2006-01-23,18:48:00,3539.00,3540.00,3539.00,3539.00,504,0\r\n2006-01-23,18:49:00,3538.00,3539.00,3534.00,3534.00,2590,0\r\n2006-01-23,18:50:00,3534.00,3535.00,3533.00,3534.00,1128,0\r\n2006-01-23,18:51:00,3534.00,3535.00,3534.00,3534.00,555,0\r\n2006-01-23,18:52:00,3535.00,3536.00,3535.00,3535.00,667,0\r\n2006-01-23,18:53:00,3536.00,3536.00,3535.00,3536.00,464,0\r\n2006-01-23,18:54:00,3536.00,3537.00,3536.00,3536.00,299,0\r\n2006-01-23,18:55:00,3536.00,3536.00,3536.00,3536.00,165,0\r\n2006-01-23,18:56:00,3536.00,3537.00,3536.00,3537.00,47,0\r\n2006-01-23,18:57:00,3537.00,3537.00,3536.00,3536.00,6,0\r\n2006-01-23,18:58:00,3536.00,3536.00,3535.00,3535.00,407,0\r\n2006-01-23,18:59:00,3535.00,3535.00,3535.00,3535.00,32,0\r\n2006-01-23,19:00:00,3535.00,3536.00,3534.00,3536.00,267,0\r\n2006-01-23,19:01:00,3536.00,3536.00,3535.00,3536.00,151,0\r\n2006-01-23,19:02:00,3536.00,3536.00,3536.00,3536.00,107,0\r\n2006-01-23,19:03:00,3536.00,3538.00,3536.00,3538.00,405,0\r\n2006-01-23,19:04:00,3538.00,3539.00,3538.00,3539.00,491,0\r\n2006-01-23,19:05:00,3538.00,3538.00,3537.00,3537.00,205,0\r\n2006-01-23,19:06:00,3537.00,3538.00,3537.00,3538.00,171,0\r\n2006-01-23,19:07:00,3539.00,3539.00,3538.00,3538.00,336,0\r\n2006-01-23,19:08:00,3538.00,3538.00,3538.00,3538.00,171,0\r\n2006-01-23,19:09:00,3538.00,3538.00,3537.00,3538.00,84,0\r\n2006-01-23,19:10:00,3538.00,3540.00,3538.00,3540.00,423,0\r\n2006-01-23,19:11:00,3539.00,3540.00,3539.00,3539.00,106,0\r\n2006-01-23,19:12:00,3539.00,3539.00,3539.00,3539.00,82,0\r\n2006-01-23,19:13:00,3539.00,3539.00,3539.00,3539.00,100,0\r\n2006-01-23,19:14:00,3539.00,3539.00,3537.00,3537.00,380,0\r\n2006-01-23,19:15:00,3538.00,3538.00,3537.00,3537.00,302,0\r\n2006-01-23,19:16:00,3538.00,3538.00,3537.00,3537.00,52,0\r\n2006-01-23,19:17:00,3537.00,3537.00,3537.00,3537.00,32,0\r\n2006-01-23,19:18:00,3537.00,3537.00,3537.00,3537.00,12,0\r\n2006-01-23,19:19:00,3537.00,3537.00,3537.00,3537.00,20,0\r\n2006-01-23,19:20:00,3537.00,3538.00,3537.00,3538.00,192,0\r\n2006-01-23,19:21:00,3539.00,3540.00,3539.00,3540.00,328,0\r\n2006-01-23,19:22:00,3540.00,3541.00,3540.00,3540.00,402,0\r\n2006-01-23,19:23:00,3541.00,3542.00,3541.00,3541.00,359,0\r\n2006-01-23,19:24:00,3541.00,3541.00,3541.00,3541.00,183,0\r\n2006-01-23,19:25:00,3540.00,3540.00,3540.00,3540.00,127,0\r\n2006-01-23,19:26:00,3541.00,3541.00,3540.00,3540.00,129,0\r\n2006-01-23,19:27:00,3540.00,3542.00,3540.00,3542.00,385,0\r\n2006-01-23,19:28:00,3542.00,3543.00,3542.00,3543.00,531,0\r\n2006-01-23,19:29:00,3543.00,3543.00,3543.00,3543.00,88,0\r\n2006-01-23,19:30:00,3542.00,3542.00,3542.00,3542.00,177,0\r\n2006-01-23,19:31:00,3542.00,3542.00,3541.00,3542.00,425,0\r\n2006-01-23,19:32:00,3542.00,3542.00,3541.00,3542.00,84,0\r\n2006-01-23,19:33:00,3541.00,3541.00,3541.00,3541.00,104,0\r\n2006-01-23,19:34:00,3542.00,3543.00,3542.00,3542.00,288,0\r\n2006-01-23,19:35:00,3543.00,3543.00,3542.00,3542.00,11,0\r\n2006-01-23,19:36:00,3542.00,3542.00,3542.00,3542.00,1,0\r\n2006-01-23,19:37:00,3542.00,3542.00,3541.00,3541.00,6,0\r\n2006-01-23,19:38:00,3541.00,3541.00,3541.00,3541.00,6,0\r\n2006-01-23,19:40:00,3540.00,3540.00,3539.00,3539.00,397,0\r\n2006-01-23,19:41:00,3539.00,3539.00,3538.00,3538.00,206,0\r\n2006-01-23,19:42:00,3538.00,3538.00,3537.00,3538.00,358,0\r\n2006-01-23,19:43:00,3538.00,3538.00,3538.00,3538.00,144,0\r\n2006-01-23,19:44:00,3538.00,3538.00,3537.00,3538.00,39,0\r\n2006-01-23,19:45:00,3537.00,3537.00,3537.00,3537.00,300,0\r\n2006-01-23,19:46:00,3536.00,3538.00,3536.00,3538.00,136,0\r\n2006-01-23,19:47:00,3539.00,3541.00,3539.00,3541.00,183,0\r\n2006-01-23,19:48:00,3540.00,3541.00,3540.00,3540.00,12,0\r\n2006-01-23,19:49:00,3540.00,3540.00,3539.00,3539.00,182,0\r\n2006-01-23,19:50:00,3539.00,3539.00,3538.00,3539.00,274,0\r\n2006-01-23,19:51:00,3539.00,3539.00,3538.00,3538.00,90,0\r\n2006-01-23,19:52:00,3538.00,3538.00,3537.00,3537.00,56,0\r\n2006-01-23,19:53:00,3537.00,3537.00,3537.00,3537.00,77,0\r\n2006-01-23,19:54:00,3537.00,3537.00,3535.00,3536.00,266,0\r\n2006-01-23,19:55:00,3536.00,3536.00,3536.00,3536.00,272,0\r\n2006-01-23,19:56:00,3537.00,3537.00,3535.00,3535.00,505,0\r\n2006-01-23,19:57:00,3535.00,3535.00,3535.00,3535.00,142,0\r\n2006-01-23,19:58:00,3535.00,3536.00,3534.00,3534.00,304,0\r\n2006-01-23,19:59:00,3534.00,3535.00,3534.00,3534.00,70,0\r\n2006-01-23,20:00:00,3534.00,3536.00,3534.00,3536.00,395,0\r\n2006-01-23,20:01:00,3537.00,3537.00,3535.00,3536.00,31,0\r\n2006-01-23,20:02:00,3536.00,3537.00,3536.00,3537.00,167,0\r\n2006-01-23,20:03:00,3537.00,3537.00,3536.00,3536.00,71,0\r\n2006-01-23,20:04:00,3536.00,3536.00,3536.00,3536.00,40,0\r\n2006-01-23,20:05:00,3536.00,3537.00,3536.00,3537.00,101,0\r\n2006-01-23,20:06:00,3537.00,3537.00,3537.00,3537.00,50,0\r\n2006-01-23,20:07:00,3538.00,3538.00,3538.00,3538.00,107,0\r\n2006-01-23,20:08:00,3539.00,3540.00,3539.00,3539.00,562,0\r\n2006-01-23,20:09:00,3539.00,3540.00,3539.00,3540.00,138,0\r\n2006-01-23,20:10:00,3540.00,3540.00,3540.00,3540.00,65,0\r\n2006-01-23,20:11:00,3539.00,3539.00,3538.00,3538.00,62,0\r\n2006-01-23,20:12:00,3537.00,3537.00,3537.00,3537.00,7,0\r\n2006-01-23,20:13:00,3537.00,3538.00,3537.00,3538.00,39,0\r\n2006-01-23,20:14:00,3536.00,3536.00,3535.00,3536.00,120,0\r\n2006-01-23,20:15:00,3536.00,3537.00,3536.00,3536.00,148,0\r\n2006-01-23,20:16:00,3535.00,3535.00,3534.00,3535.00,125,0\r\n2006-01-23,20:17:00,3534.00,3535.00,3534.00,3535.00,32,0\r\n2006-01-23,20:19:00,3536.00,3536.00,3535.00,3536.00,420,0\r\n2006-01-23,20:20:00,3536.00,3536.00,3536.00,3536.00,44,0\r\n2006-01-23,20:21:00,3536.00,3536.00,3536.00,3536.00,31,0\r\n2006-01-23,20:22:00,3536.00,3537.00,3536.00,3537.00,121,0\r\n2006-01-23,20:23:00,3538.00,3538.00,3537.00,3537.00,67,0\r\n2006-01-23,20:24:00,3538.00,3538.00,3538.00,3538.00,40,0\r\n2006-01-23,20:25:00,3538.00,3539.00,3538.00,3538.00,54,0\r\n2006-01-23,20:26:00,3538.00,3538.00,3537.00,3537.00,45,0\r\n2006-01-23,20:27:00,3536.00,3536.00,3536.00,3536.00,20,0\r\n2006-01-23,20:28:00,3535.00,3536.00,3535.00,3536.00,13,0\r\n2006-01-23,20:29:00,3536.00,3536.00,3536.00,3536.00,13,0\r\n2006-01-23,20:31:00,3537.00,3537.00,3537.00,3537.00,59,0\r\n2006-01-23,20:32:00,3538.00,3539.00,3538.00,3539.00,45,0\r\n2006-01-23,20:33:00,3539.00,3539.00,3539.00,3539.00,8,0\r\n2006-01-23,20:34:00,3540.00,3540.00,3538.00,3538.00,113,0\r\n2006-01-23,20:35:00,3538.00,3539.00,3538.00,3538.00,14,0\r\n2006-01-23,20:36:00,3539.00,3539.00,3537.00,3537.00,77,0\r\n2006-01-23,20:37:00,3537.00,3537.00,3535.00,3535.00,322,0\r\n2006-01-23,20:38:00,3536.00,3537.00,3536.00,3537.00,80,0\r\n2006-01-23,20:39:00,3536.00,3537.00,3536.00,3537.00,161,0\r\n2006-01-23,20:40:00,3537.00,3537.00,3537.00,3537.00,164,0\r\n2006-01-23,20:41:00,3536.00,3536.00,3536.00,3536.00,5,0\r\n2006-01-23,20:42:00,3537.00,3538.00,3537.00,3537.00,82,0\r\n2006-01-23,20:44:00,3538.00,3538.00,3538.00,3538.00,81,0\r\n2006-01-23,20:45:00,3537.00,3538.00,3537.00,3538.00,85,0\r\n2006-01-23,20:46:00,3538.00,3538.00,3537.00,3538.00,65,0\r\n2006-01-23,20:47:00,3538.00,3538.00,3538.00,3538.00,64,0\r\n2006-01-23,20:48:00,3538.00,3540.00,3538.00,3540.00,211,0\r\n2006-01-23,20:49:00,3539.00,3539.00,3539.00,3539.00,23,0\r\n2006-01-23,20:50:00,3539.00,3539.00,3538.00,3538.00,11,0\r\n2006-01-23,20:51:00,3538.00,3539.00,3538.00,3539.00,24,0\r\n2006-01-23,20:52:00,3539.00,3539.00,3539.00,3539.00,114,0\r\n2006-01-23,20:53:00,3539.00,3539.00,3538.00,3538.00,55,0\r\n2006-01-23,20:54:00,3538.00,3538.00,3537.00,3537.00,105,0\r\n2006-01-23,20:55:00,3538.00,3538.00,3538.00,3538.00,99,0\r\n2006-01-23,20:56:00,3538.00,3538.00,3536.00,3536.00,10,0\r\n2006-01-23,20:57:00,3538.00,3539.00,3538.00,3539.00,31,0\r\n2006-01-23,20:58:00,3539.00,3539.00,3539.00,3539.00,107,0\r\n2006-01-23,20:59:00,3540.00,3540.00,3540.00,3540.00,155,0\r\n2006-01-23,21:00:00,3539.00,3540.00,3539.00,3540.00,150,0\r\n2006-01-23,21:01:00,3541.00,3542.00,3541.00,3541.00,197,0\r\n2006-01-23,21:02:00,3541.00,3541.00,3539.00,3539.00,97,0\r\n2006-01-23,21:03:00,3540.00,3540.00,3538.00,3538.00,117,0\r\n2006-01-23,21:04:00,3539.00,3539.00,3539.00,3539.00,21,0\r\n2006-01-23,21:05:00,3538.00,3538.00,3538.00,3538.00,50,0\r\n2006-01-23,21:06:00,3539.00,3539.00,3539.00,3539.00,1,0\r\n2006-01-23,21:07:00,3539.00,3540.00,3539.00,3540.00,263,0\r\n2006-01-23,21:08:00,3540.00,3540.00,3539.00,3539.00,16,0\r\n2006-01-23,21:09:00,3539.00,3539.00,3539.00,3539.00,11,0\r\n2006-01-23,21:10:00,3539.00,3539.00,3539.00,3539.00,31,0\r\n2006-01-23,21:11:00,3539.00,3539.00,3538.00,3538.00,147,0\r\n2006-01-23,21:12:00,3538.00,3538.00,3538.00,3538.00,12,0\r\n2006-01-23,21:13:00,3537.00,3537.00,3537.00,3537.00,146,0\r\n2006-01-23,21:14:00,3537.00,3537.00,3535.00,3535.00,69,0\r\n2006-01-23,21:15:00,3536.00,3536.00,3535.00,3536.00,361,0\r\n2006-01-23,21:16:00,3536.00,3536.00,3536.00,3536.00,126,0\r\n2006-01-23,21:17:00,3536.00,3536.00,3536.00,3536.00,50,0\r\n2006-01-23,21:18:00,3536.00,3537.00,3536.00,3537.00,70,0\r\n2006-01-23,21:19:00,3537.00,3537.00,3537.00,3537.00,23,0\r\n2006-01-23,21:20:00,3537.00,3538.00,3536.00,3538.00,58,0\r\n2006-01-23,21:21:00,3538.00,3539.00,3538.00,3539.00,46,0\r\n2006-01-23,21:22:00,3539.00,3541.00,3539.00,3539.00,301,0\r\n2006-01-23,21:23:00,3539.00,3539.00,3538.00,3539.00,127,0\r\n2006-01-23,21:24:00,3540.00,3542.00,3540.00,3541.00,100,0\r\n2006-01-23,21:25:00,3541.00,3542.00,3541.00,3541.00,84,0\r\n2006-01-23,21:26:00,3541.00,3541.00,3540.00,3540.00,158,0\r\n2006-01-23,21:27:00,3540.00,3541.00,3539.00,3541.00,274,0\r\n2006-01-23,21:28:00,3541.00,3541.00,3540.00,3540.00,61,0\r\n2006-01-23,21:29:00,3541.00,3541.00,3540.00,3540.00,123,0\r\n2006-01-23,21:30:00,3540.00,3541.00,3540.00,3540.00,10,0\r\n2006-01-23,21:31:00,3541.00,3542.00,3541.00,3541.00,62,0\r\n2006-01-23,21:32:00,3541.00,3541.00,3541.00,3541.00,9,0\r\n2006-01-23,21:33:00,3542.00,3542.00,3541.00,3541.00,34,0\r\n2006-01-23,21:34:00,3541.00,3541.00,3540.00,3540.00,43,0\r\n2006-01-23,21:35:00,3540.00,3541.00,3540.00,3541.00,43,0\r\n2006-01-23,21:36:00,3540.00,3540.00,3540.00,3540.00,16,0\r\n2006-01-23,21:37:00,3540.00,3541.00,3540.00,3541.00,13,0\r\n2006-01-23,21:38:00,3540.00,3541.00,3540.00,3540.00,13,0\r\n2006-01-23,21:39:00,3540.00,3541.00,3540.00,3540.00,10,0\r\n2006-01-23,21:40:00,3540.00,3541.00,3538.00,3539.00,81,0\r\n2006-01-23,21:41:00,3538.00,3540.00,3538.00,3540.00,84,0\r\n2006-01-23,21:42:00,3539.00,3540.00,3538.00,3538.00,28,0\r\n2006-01-23,21:43:00,3538.00,3538.00,3537.00,3538.00,22,0\r\n2006-01-23,21:44:00,3537.00,3539.00,3537.00,3539.00,44,0\r\n2006-01-23,21:45:00,3539.00,3539.00,3538.00,3539.00,22,0\r\n2006-01-23,21:46:00,3538.00,3538.00,3537.00,3537.00,14,0\r\n2006-01-23,21:47:00,3537.00,3537.00,3536.00,3537.00,35,0\r\n2006-01-23,21:48:00,3536.00,3537.00,3536.00,3537.00,163,0\r\n2006-01-23,21:49:00,3537.00,3537.00,3537.00,3537.00,9,0\r\n2006-01-23,21:50:00,3537.00,3537.00,3536.00,3536.00,47,0\r\n2006-01-23,21:51:00,3537.00,3537.00,3536.00,3537.00,98,0\r\n2006-01-23,21:52:00,3537.00,3537.00,3536.00,3536.00,40,0\r\n2006-01-23,21:53:00,3536.00,3537.00,3536.00,3537.00,45,0\r\n2006-01-23,21:54:00,3537.00,3537.00,3537.00,3537.00,12,0\r\n2006-01-23,21:55:00,3536.00,3537.00,3536.00,3537.00,15,0\r\n2006-01-23,21:56:00,3537.00,3538.00,3537.00,3538.00,22,0\r\n2006-01-23,21:57:00,3537.00,3538.00,3536.00,3537.00,24,0\r\n2006-01-23,21:58:00,3537.00,3538.00,3536.00,3538.00,17,0\r\n2006-01-23,21:59:00,3536.00,3539.00,3536.00,3539.00,216,0\r\n2006-01-23,22:00:00,3539.00,3541.00,3539.00,3540.00,237,0\r\n2006-01-24,09:01:00,3550.00,3553.00,3550.00,3551.00,7534,0\r\n2006-01-24,09:02:00,3551.00,3553.00,3550.00,3553.00,2420,0\r\n2006-01-24,09:03:00,3553.00,3554.00,3553.00,3554.00,2416,0\r\n2006-01-24,09:04:00,3554.00,3555.00,3553.00,3554.00,2177,0\r\n2006-01-24,09:05:00,3554.00,3558.00,3554.00,3556.00,4408,0\r\n2006-01-24,09:06:00,3556.00,3558.00,3556.00,3558.00,1295,0\r\n2006-01-24,09:07:00,3557.00,3557.00,3555.00,3555.00,1461,0\r\n2006-01-24,09:08:00,3555.00,3557.00,3554.00,3554.00,2108,0\r\n2006-01-24,09:09:00,3555.00,3556.00,3552.00,3553.00,2222,0\r\n2006-01-24,09:10:00,3553.00,3553.00,3549.00,3550.00,3522,0\r\n2006-01-24,09:11:00,3550.00,3552.00,3549.00,3551.00,2828,0\r\n2006-01-24,09:12:00,3552.00,3554.00,3551.00,3553.00,3206,0\r\n2006-01-24,09:13:00,3553.00,3553.00,3551.00,3552.00,413,0\r\n2006-01-24,09:14:00,3552.00,3554.00,3552.00,3553.00,841,0\r\n2006-01-24,09:15:00,3553.00,3554.00,3552.00,3552.00,375,0\r\n2006-01-24,09:16:00,3552.00,3553.00,3551.00,3553.00,1465,0\r\n2006-01-24,09:17:00,3554.00,3555.00,3552.00,3554.00,2166,0\r\n2006-01-24,09:18:00,3554.00,3554.00,3552.00,3552.00,1407,0\r\n2006-01-24,09:19:00,3552.00,3554.00,3551.00,3552.00,1371,0\r\n2006-01-24,09:20:00,3553.00,3553.00,3551.00,3552.00,867,0\r\n2006-01-24,09:21:00,3552.00,3553.00,3548.00,3548.00,3566,0\r\n2006-01-24,09:22:00,3548.00,3550.00,3548.00,3548.00,1317,0\r\n2006-01-24,09:23:00,3549.00,3549.00,3547.00,3548.00,2860,0\r\n2006-01-24,09:24:00,3548.00,3549.00,3547.00,3548.00,3247,0\r\n2006-01-24,09:25:00,3548.00,3548.00,3546.00,3546.00,2287,0\r\n2006-01-24,09:26:00,3546.00,3546.00,3544.00,3545.00,4445,0\r\n2006-01-24,09:27:00,3545.00,3547.00,3545.00,3547.00,1360,0\r\n2006-01-24,09:28:00,3547.00,3547.00,3546.00,3546.00,2145,0\r\n2006-01-24,09:29:00,3546.00,3547.00,3546.00,3547.00,1755,0\r\n2006-01-24,09:30:00,3546.00,3546.00,3543.00,3544.00,1983,0\r\n2006-01-24,09:31:00,3544.00,3546.00,3544.00,3546.00,999,0\r\n2006-01-24,09:32:00,3545.00,3547.00,3545.00,3546.00,2413,0\r\n2006-01-24,09:33:00,3547.00,3547.00,3546.00,3546.00,1869,0\r\n2006-01-24,09:34:00,3547.00,3547.00,3546.00,3546.00,1075,0\r\n2006-01-24,09:35:00,3547.00,3548.00,3547.00,3547.00,835,0\r\n2006-01-24,09:36:00,3546.00,3547.00,3546.00,3547.00,175,0\r\n2006-01-24,09:37:00,3547.00,3547.00,3546.00,3546.00,466,0\r\n2006-01-24,09:38:00,3546.00,3548.00,3546.00,3548.00,1326,0\r\n2006-01-24,09:39:00,3548.00,3549.00,3547.00,3547.00,1263,0\r\n2006-01-24,09:40:00,3548.00,3548.00,3546.00,3546.00,1266,0\r\n2006-01-24,09:41:00,3546.00,3546.00,3545.00,3546.00,905,0\r\n2006-01-24,09:42:00,3546.00,3546.00,3544.00,3544.00,1400,0\r\n2006-01-24,09:43:00,3544.00,3544.00,3543.00,3543.00,869,0\r\n2006-01-24,09:44:00,3543.00,3544.00,3542.00,3544.00,1224,0\r\n2006-01-24,09:45:00,3544.00,3544.00,3543.00,3544.00,629,0\r\n2006-01-24,09:46:00,3543.00,3544.00,3543.00,3543.00,315,0\r\n2006-01-24,09:47:00,3543.00,3545.00,3543.00,3544.00,828,0\r\n2006-01-24,09:48:00,3544.00,3544.00,3542.00,3543.00,1663,0\r\n2006-01-24,09:49:00,3542.00,3542.00,3540.00,3541.00,2127,0\r\n2006-01-24,09:50:00,3542.00,3543.00,3542.00,3542.00,1329,0\r\n2006-01-24,09:51:00,3542.00,3542.00,3538.00,3540.00,3894,0\r\n2006-01-24,09:52:00,3540.00,3541.00,3539.00,3540.00,1198,0\r\n2006-01-24,09:53:00,3540.00,3541.00,3539.00,3540.00,913,0\r\n2006-01-24,09:54:00,3540.00,3540.00,3539.00,3539.00,1078,0\r\n2006-01-24,09:55:00,3539.00,3541.00,3538.00,3541.00,1219,0\r\n2006-01-24,09:56:00,3541.00,3542.00,3540.00,3542.00,614,0\r\n2006-01-24,09:57:00,3541.00,3542.00,3540.00,3540.00,1265,0\r\n2006-01-24,09:58:00,3541.00,3542.00,3540.00,3542.00,282,0\r\n2006-01-24,09:59:00,3542.00,3543.00,3542.00,3542.00,1168,0\r\n2006-01-24,10:00:00,3542.00,3542.00,3541.00,3542.00,561,0\r\n2006-01-24,10:01:00,3542.00,3543.00,3542.00,3543.00,541,0\r\n2006-01-24,10:02:00,3543.00,3544.00,3542.00,3544.00,1009,0\r\n2006-01-24,10:03:00,3543.00,3544.00,3542.00,3543.00,2547,0\r\n2006-01-24,10:04:00,3544.00,3545.00,3544.00,3544.00,1179,0\r\n2006-01-24,10:05:00,3544.00,3545.00,3544.00,3545.00,731,0\r\n2006-01-24,10:06:00,3545.00,3545.00,3544.00,3544.00,608,0\r\n2006-01-24,10:07:00,3544.00,3545.00,3544.00,3545.00,162,0\r\n2006-01-24,10:08:00,3545.00,3545.00,3544.00,3544.00,36,0\r\n2006-01-24,10:09:00,3544.00,3545.00,3544.00,3544.00,97,0\r\n2006-01-24,10:10:00,3544.00,3545.00,3543.00,3545.00,579,0\r\n2006-01-24,10:11:00,3545.00,3547.00,3545.00,3546.00,929,0\r\n2006-01-24,10:12:00,3546.00,3547.00,3546.00,3547.00,107,0\r\n2006-01-24,10:13:00,3547.00,3547.00,3546.00,3547.00,760,0\r\n2006-01-24,10:14:00,3548.00,3548.00,3546.00,3546.00,273,0\r\n2006-01-24,10:15:00,3546.00,3547.00,3546.00,3546.00,179,0\r\n2006-01-24,10:16:00,3546.00,3547.00,3546.00,3547.00,20,0\r\n2006-01-24,10:17:00,3547.00,3547.00,3546.00,3546.00,286,0\r\n2006-01-24,10:18:00,3547.00,3547.00,3544.00,3544.00,896,0\r\n2006-01-24,10:19:00,3544.00,3545.00,3544.00,3544.00,98,0\r\n2006-01-24,10:20:00,3545.00,3545.00,3544.00,3545.00,46,0\r\n2006-01-24,10:21:00,3545.00,3546.00,3545.00,3545.00,532,0\r\n2006-01-24,10:22:00,3545.00,3546.00,3545.00,3546.00,454,0\r\n2006-01-24,10:23:00,3545.00,3548.00,3545.00,3548.00,1216,0\r\n2006-01-24,10:24:00,3547.00,3547.00,3546.00,3546.00,1903,0\r\n2006-01-24,10:25:00,3546.00,3547.00,3546.00,3546.00,279,0\r\n2006-01-24,10:26:00,3547.00,3547.00,3547.00,3547.00,14,0\r\n2006-01-24,10:27:00,3546.00,3547.00,3546.00,3547.00,11,0\r\n2006-01-24,10:28:00,3546.00,3546.00,3545.00,3545.00,843,0\r\n2006-01-24,10:29:00,3545.00,3546.00,3544.00,3546.00,854,0\r\n2006-01-24,10:30:00,3545.00,3546.00,3545.00,3546.00,106,0\r\n2006-01-24,10:31:00,3545.00,3545.00,3545.00,3545.00,127,0\r\n2006-01-24,10:32:00,3545.00,3545.00,3544.00,3545.00,620,0\r\n2006-01-24,10:33:00,3544.00,3544.00,3543.00,3544.00,1013,0\r\n2006-01-24,10:34:00,3544.00,3546.00,3544.00,3546.00,701,0\r\n2006-01-24,10:35:00,3546.00,3546.00,3544.00,3545.00,342,0\r\n2006-01-24,10:36:00,3545.00,3545.00,3545.00,3545.00,299,0\r\n2006-01-24,10:37:00,3545.00,3546.00,3545.00,3546.00,76,0\r\n2006-01-24,10:38:00,3545.00,3545.00,3545.00,3545.00,89,0\r\n2006-01-24,10:39:00,3545.00,3546.00,3544.00,3545.00,297,0\r\n2006-01-24,10:40:00,3546.00,3546.00,3545.00,3545.00,162,0\r\n2006-01-24,10:41:00,3545.00,3546.00,3545.00,3546.00,3,0\r\n2006-01-24,10:42:00,3545.00,3546.00,3545.00,3546.00,12,0\r\n2006-01-24,10:43:00,3546.00,3546.00,3544.00,3544.00,901,0\r\n2006-01-24,10:44:00,3544.00,3544.00,3542.00,3542.00,625,0\r\n2006-01-24,10:45:00,3543.00,3543.00,3542.00,3542.00,1310,0\r\n2006-01-24,10:46:00,3542.00,3543.00,3542.00,3542.00,75,0\r\n2006-01-24,10:47:00,3542.00,3543.00,3542.00,3543.00,1016,0\r\n2006-01-24,10:48:00,3543.00,3544.00,3543.00,3543.00,176,0\r\n2006-01-24,10:49:00,3543.00,3543.00,3542.00,3542.00,985,0\r\n2006-01-24,10:50:00,3542.00,3542.00,3541.00,3541.00,778,0\r\n2006-01-24,10:51:00,3541.00,3541.00,3540.00,3541.00,1088,0\r\n2006-01-24,10:52:00,3541.00,3541.00,3538.00,3539.00,2338,0\r\n2006-01-24,10:53:00,3538.00,3540.00,3538.00,3539.00,921,0\r\n2006-01-24,10:54:00,3540.00,3540.00,3539.00,3539.00,1039,0\r\n2006-01-24,10:55:00,3539.00,3541.00,3539.00,3541.00,636,0\r\n2006-01-24,10:56:00,3540.00,3540.00,3539.00,3540.00,721,0\r\n2006-01-24,10:57:00,3540.00,3541.00,3539.00,3541.00,1331,0\r\n2006-01-24,10:58:00,3541.00,3542.00,3541.00,3541.00,580,0\r\n2006-01-24,10:59:00,3542.00,3542.00,3541.00,3541.00,202,0\r\n2006-01-24,11:00:00,3541.00,3542.00,3541.00,3541.00,604,0\r\n2006-01-24,11:01:00,3541.00,3543.00,3540.00,3541.00,1334,0\r\n2006-01-24,11:02:00,3541.00,3541.00,3540.00,3541.00,727,0\r\n2006-01-24,11:03:00,3541.00,3541.00,3540.00,3541.00,299,0\r\n2006-01-24,11:04:00,3541.00,3542.00,3540.00,3541.00,674,0\r\n2006-01-24,11:05:00,3541.00,3542.00,3540.00,3542.00,493,0\r\n2006-01-24,11:06:00,3541.00,3542.00,3541.00,3542.00,157,0\r\n2006-01-24,11:07:00,3541.00,3543.00,3541.00,3542.00,1222,0\r\n2006-01-24,11:08:00,3542.00,3542.00,3541.00,3542.00,205,0\r\n2006-01-24,11:09:00,3541.00,3542.00,3541.00,3542.00,774,0\r\n2006-01-24,11:10:00,3542.00,3543.00,3542.00,3542.00,157,0\r\n2006-01-24,11:11:00,3542.00,3543.00,3542.00,3543.00,211,0\r\n2006-01-24,11:12:00,3543.00,3543.00,3542.00,3542.00,1017,0\r\n2006-01-24,11:13:00,3542.00,3542.00,3542.00,3542.00,407,0\r\n2006-01-24,11:14:00,3542.00,3542.00,3541.00,3541.00,387,0\r\n2006-01-24,11:15:00,3542.00,3542.00,3540.00,3542.00,621,0\r\n2006-01-24,11:16:00,3541.00,3541.00,3540.00,3540.00,202,0\r\n2006-01-24,11:17:00,3540.00,3541.00,3540.00,3541.00,1795,0\r\n2006-01-24,11:18:00,3540.00,3541.00,3539.00,3540.00,482,0\r\n2006-01-24,11:19:00,3540.00,3540.00,3536.00,3538.00,4681,0\r\n2006-01-24,11:20:00,3538.00,3539.00,3537.00,3537.00,2763,0\r\n2006-01-24,11:21:00,3538.00,3538.00,3536.00,3537.00,1198,0\r\n2006-01-24,11:22:00,3537.00,3539.00,3537.00,3539.00,439,0\r\n2006-01-24,11:23:00,3538.00,3541.00,3538.00,3541.00,3328,0\r\n2006-01-24,11:24:00,3541.00,3542.00,3540.00,3540.00,1055,0\r\n2006-01-24,11:25:00,3540.00,3541.00,3540.00,3541.00,327,0\r\n2006-01-24,11:26:00,3541.00,3542.00,3540.00,3540.00,412,0\r\n2006-01-24,11:27:00,3540.00,3541.00,3540.00,3541.00,563,0\r\n2006-01-24,11:28:00,3540.00,3541.00,3540.00,3540.00,917,0\r\n2006-01-24,11:29:00,3540.00,3541.00,3540.00,3541.00,151,0\r\n2006-01-24,11:31:00,3541.00,3541.00,3540.00,3541.00,623,0\r\n2006-01-24,11:32:00,3541.00,3541.00,3541.00,3541.00,3,0\r\n2006-01-24,11:33:00,3541.00,3542.00,3541.00,3542.00,227,0\r\n2006-01-24,11:34:00,3541.00,3542.00,3541.00,3541.00,108,0\r\n2006-01-24,11:35:00,3542.00,3542.00,3541.00,3542.00,34,0\r\n2006-01-24,11:36:00,3542.00,3542.00,3541.00,3542.00,106,0\r\n2006-01-24,11:37:00,3542.00,3542.00,3541.00,3542.00,1098,0\r\n2006-01-24,11:38:00,3542.00,3543.00,3542.00,3543.00,541,0\r\n2006-01-24,11:39:00,3543.00,3543.00,3542.00,3542.00,1122,0\r\n2006-01-24,11:40:00,3542.00,3543.00,3542.00,3543.00,144,0\r\n2006-01-24,11:41:00,3543.00,3543.00,3543.00,3543.00,212,0\r\n2006-01-24,11:42:00,3543.00,3544.00,3541.00,3542.00,2311,0\r\n2006-01-24,11:43:00,3542.00,3542.00,3542.00,3542.00,116,0\r\n2006-01-24,11:44:00,3542.00,3542.00,3542.00,3542.00,14,0\r\n2006-01-24,11:45:00,3542.00,3542.00,3541.00,3542.00,671,0\r\n2006-01-24,11:46:00,3541.00,3541.00,3540.00,3540.00,1048,0\r\n2006-01-24,11:47:00,3541.00,3542.00,3540.00,3542.00,431,0\r\n2006-01-24,11:48:00,3542.00,3542.00,3542.00,3542.00,147,0\r\n2006-01-24,11:49:00,3542.00,3542.00,3541.00,3541.00,36,0\r\n2006-01-24,11:50:00,3541.00,3541.00,3541.00,3541.00,27,0\r\n2006-01-24,11:51:00,3541.00,3541.00,3540.00,3541.00,728,0\r\n2006-01-24,11:52:00,3540.00,3540.00,3540.00,3540.00,20,0\r\n2006-01-24,11:53:00,3540.00,3542.00,3540.00,3541.00,1048,0\r\n2006-01-24,11:54:00,3542.00,3542.00,3542.00,3542.00,5,0\r\n2006-01-24,11:55:00,3542.00,3542.00,3542.00,3542.00,206,0\r\n2006-01-24,11:56:00,3542.00,3542.00,3541.00,3541.00,281,0\r\n2006-01-24,11:57:00,3541.00,3542.00,3541.00,3542.00,261,0\r\n2006-01-24,11:58:00,3542.00,3542.00,3541.00,3541.00,264,0\r\n2006-01-24,11:59:00,3541.00,3541.00,3541.00,3541.00,449,0\r\n2006-01-24,12:00:00,3541.00,3541.00,3541.00,3541.00,4492,0\r\n2006-01-24,12:01:00,3541.00,3541.00,3540.00,3541.00,307,0\r\n2006-01-24,12:02:00,3540.00,3540.00,3540.00,3540.00,530,0\r\n2006-01-24,12:03:00,3540.00,3540.00,3540.00,3540.00,210,0\r\n2006-01-24,12:04:00,3540.00,3541.00,3540.00,3541.00,234,0\r\n2006-01-24,12:05:00,3541.00,3541.00,3540.00,3541.00,50,0\r\n2006-01-24,12:06:00,3541.00,3541.00,3541.00,3541.00,100,0\r\n2006-01-24,12:07:00,3541.00,3541.00,3541.00,3541.00,26,0\r\n2006-01-24,12:08:00,3540.00,3541.00,3540.00,3540.00,122,0\r\n2006-01-24,12:09:00,3540.00,3540.00,3539.00,3539.00,2118,0\r\n2006-01-24,12:10:00,3539.00,3541.00,3539.00,3541.00,1041,0\r\n2006-01-24,12:11:00,3541.00,3542.00,3541.00,3542.00,653,0\r\n2006-01-24,12:12:00,3542.00,3543.00,3542.00,3542.00,280,0\r\n2006-01-24,12:13:00,3543.00,3543.00,3543.00,3543.00,149,0\r\n2006-01-24,12:14:00,3542.00,3542.00,3542.00,3542.00,23,0\r\n2006-01-24,12:15:00,3543.00,3543.00,3542.00,3542.00,399,0\r\n2006-01-24,12:16:00,3542.00,3543.00,3542.00,3543.00,257,0\r\n2006-01-24,12:17:00,3542.00,3543.00,3542.00,3542.00,17,0\r\n2006-01-24,12:18:00,3543.00,3543.00,3542.00,3543.00,247,0\r\n2006-01-24,12:19:00,3542.00,3543.00,3542.00,3543.00,88,0\r\n2006-01-24,12:20:00,3543.00,3543.00,3542.00,3542.00,685,0\r\n2006-01-24,12:21:00,3543.00,3543.00,3542.00,3543.00,240,0\r\n2006-01-24,12:22:00,3542.00,3543.00,3542.00,3543.00,16,0\r\n2006-01-24,12:23:00,3543.00,3543.00,3543.00,3543.00,2,0\r\n2006-01-24,12:24:00,3543.00,3543.00,3543.00,3543.00,23,0\r\n2006-01-24,12:25:00,3542.00,3543.00,3541.00,3542.00,677,0\r\n2006-01-24,12:26:00,3542.00,3542.00,3542.00,3542.00,18,0\r\n2006-01-24,12:27:00,3541.00,3542.00,3540.00,3541.00,1181,0\r\n2006-01-24,12:28:00,3541.00,3541.00,3539.00,3539.00,482,0\r\n2006-01-24,12:29:00,3540.00,3541.00,3540.00,3541.00,412,0\r\n2006-01-24,12:30:00,3541.00,3541.00,3541.00,3541.00,1297,0\r\n2006-01-24,12:31:00,3542.00,3543.00,3541.00,3541.00,689,0\r\n2006-01-24,12:32:00,3542.00,3542.00,3541.00,3542.00,188,0\r\n2006-01-24,12:33:00,3543.00,3543.00,3543.00,3543.00,12,0\r\n2006-01-24,12:34:00,3543.00,3543.00,3541.00,3542.00,819,0\r\n2006-01-24,12:35:00,3543.00,3545.00,3542.00,3544.00,1211,0\r\n2006-01-24,12:36:00,3544.00,3546.00,3544.00,3545.00,1365,0\r\n2006-01-24,12:37:00,3545.00,3545.00,3544.00,3545.00,522,0\r\n2006-01-24,12:38:00,3544.00,3547.00,3544.00,3547.00,1144,0\r\n2006-01-24,12:39:00,3547.00,3547.00,3545.00,3546.00,944,0\r\n2006-01-24,12:40:00,3545.00,3549.00,3545.00,3548.00,2910,0\r\n2006-01-24,12:41:00,3547.00,3549.00,3547.00,3548.00,655,0\r\n2006-01-24,12:42:00,3548.00,3548.00,3547.00,3547.00,309,0\r\n2006-01-24,12:43:00,3546.00,3547.00,3546.00,3547.00,104,0\r\n2006-01-24,12:44:00,3547.00,3547.00,3546.00,3546.00,1578,0\r\n2006-01-24,12:45:00,3546.00,3547.00,3546.00,3547.00,444,0\r\n2006-01-24,12:46:00,3546.00,3546.00,3546.00,3546.00,824,0\r\n2006-01-24,12:47:00,3546.00,3547.00,3546.00,3547.00,81,0\r\n2006-01-24,12:48:00,3547.00,3548.00,3547.00,3548.00,917,0\r\n2006-01-24,12:49:00,3548.00,3548.00,3546.00,3546.00,830,0\r\n2006-01-24,12:50:00,3547.00,3547.00,3546.00,3547.00,37,0\r\n2006-01-24,12:51:00,3546.00,3546.00,3546.00,3546.00,904,0\r\n2006-01-24,12:52:00,3546.00,3547.00,3546.00,3546.00,49,0\r\n2006-01-24,12:53:00,3546.00,3547.00,3546.00,3547.00,893,0\r\n2006-01-24,12:54:00,3547.00,3547.00,3547.00,3547.00,582,0\r\n2006-01-24,12:55:00,3547.00,3549.00,3547.00,3549.00,500,0\r\n2006-01-24,12:56:00,3548.00,3549.00,3548.00,3549.00,903,0\r\n2006-01-24,12:57:00,3549.00,3549.00,3548.00,3548.00,107,0\r\n2006-01-24,12:58:00,3548.00,3548.00,3548.00,3548.00,489,0\r\n2006-01-24,12:59:00,3548.00,3550.00,3548.00,3549.00,625,0\r\n2006-01-24,13:00:00,3549.00,3549.00,3548.00,3548.00,13,0\r\n2006-01-24,13:01:00,3549.00,3550.00,3548.00,3549.00,450,0\r\n2006-01-24,13:02:00,3549.00,3549.00,3549.00,3549.00,292,0\r\n2006-01-24,13:03:00,3549.00,3549.00,3548.00,3548.00,687,0\r\n2006-01-24,13:04:00,3548.00,3548.00,3547.00,3547.00,218,0\r\n2006-01-24,13:05:00,3548.00,3548.00,3547.00,3548.00,1330,0\r\n2006-01-24,13:06:00,3548.00,3549.00,3548.00,3549.00,283,0\r\n2006-01-24,13:07:00,3548.00,3549.00,3547.00,3549.00,388,0\r\n2006-01-24,13:08:00,3548.00,3548.00,3548.00,3548.00,163,0\r\n2006-01-24,13:09:00,3548.00,3549.00,3548.00,3549.00,654,0\r\n2006-01-24,13:10:00,3549.00,3549.00,3549.00,3549.00,20,0\r\n2006-01-24,13:11:00,3549.00,3550.00,3549.00,3549.00,667,0\r\n2006-01-24,13:12:00,3548.00,3548.00,3548.00,3548.00,363,0\r\n2006-01-24,13:13:00,3547.00,3548.00,3547.00,3548.00,679,0\r\n2006-01-24,13:14:00,3548.00,3548.00,3548.00,3548.00,2,0\r\n2006-01-24,13:15:00,3549.00,3549.00,3546.00,3547.00,2246,0\r\n2006-01-24,13:16:00,3546.00,3547.00,3546.00,3547.00,294,0\r\n2006-01-24,13:17:00,3547.00,3547.00,3547.00,3547.00,536,0\r\n2006-01-24,13:18:00,3547.00,3547.00,3546.00,3547.00,207,0\r\n2006-01-24,13:19:00,3547.00,3548.00,3547.00,3547.00,115,0\r\n2006-01-24,13:20:00,3547.00,3548.00,3547.00,3548.00,3,0\r\n2006-01-24,13:21:00,3547.00,3547.00,3547.00,3547.00,2,0\r\n2006-01-24,13:22:00,3547.00,3548.00,3547.00,3548.00,25,0\r\n2006-01-24,13:23:00,3547.00,3548.00,3547.00,3548.00,9,0\r\n2006-01-24,13:24:00,3548.00,3548.00,3547.00,3548.00,79,0\r\n2006-01-24,13:25:00,3548.00,3548.00,3548.00,3548.00,68,0\r\n2006-01-24,13:26:00,3548.00,3549.00,3548.00,3548.00,734,0\r\n2006-01-24,13:27:00,3548.00,3549.00,3548.00,3549.00,381,0\r\n2006-01-24,13:28:00,3549.00,3549.00,3548.00,3549.00,303,0\r\n2006-01-24,13:29:00,3549.00,3549.00,3548.00,3548.00,535,0\r\n2006-01-24,13:30:00,3549.00,3550.00,3549.00,3550.00,1103,0\r\n2006-01-24,13:31:00,3550.00,3551.00,3550.00,3551.00,3039,0\r\n2006-01-24,13:32:00,3551.00,3551.00,3550.00,3550.00,684,0\r\n2006-01-24,13:33:00,3550.00,3551.00,3550.00,3551.00,361,0\r\n2006-01-24,13:34:00,3550.00,3552.00,3549.00,3551.00,1150,0\r\n2006-01-24,13:35:00,3551.00,3551.00,3550.00,3550.00,868,0\r\n2006-01-24,13:36:00,3550.00,3550.00,3549.00,3550.00,256,0\r\n2006-01-24,13:37:00,3550.00,3550.00,3549.00,3549.00,47,0\r\n2006-01-24,13:38:00,3549.00,3549.00,3549.00,3549.00,1012,0\r\n2006-01-24,13:39:00,3549.00,3550.00,3549.00,3550.00,662,0\r\n2006-01-24,13:40:00,3550.00,3550.00,3549.00,3550.00,119,0\r\n2006-01-24,13:41:00,3550.00,3550.00,3549.00,3550.00,558,0\r\n2006-01-24,13:42:00,3550.00,3551.00,3550.00,3550.00,101,0\r\n2006-01-24,13:43:00,3550.00,3550.00,3550.00,3550.00,15,0\r\n2006-01-24,13:44:00,3551.00,3552.00,3551.00,3551.00,597,0\r\n2006-01-24,13:45:00,3551.00,3552.00,3550.00,3550.00,352,0\r\n2006-01-24,13:46:00,3550.00,3550.00,3549.00,3550.00,565,0\r\n2006-01-24,13:47:00,3549.00,3549.00,3549.00,3549.00,181,0\r\n2006-01-24,13:49:00,3550.00,3550.00,3550.00,3550.00,264,0\r\n2006-01-24,13:50:00,3551.00,3551.00,3551.00,3551.00,53,0\r\n2006-01-24,13:51:00,3550.00,3552.00,3550.00,3552.00,1247,0\r\n2006-01-24,13:52:00,3552.00,3553.00,3552.00,3552.00,352,0\r\n2006-01-24,13:53:00,3552.00,3552.00,3552.00,3552.00,11,0\r\n2006-01-24,13:54:00,3552.00,3552.00,3551.00,3551.00,103,0\r\n2006-01-24,13:55:00,3551.00,3551.00,3550.00,3550.00,1182,0\r\n2006-01-24,13:56:00,3550.00,3550.00,3549.00,3549.00,60,0\r\n2006-01-24,13:57:00,3550.00,3550.00,3550.00,3550.00,193,0\r\n2006-01-24,13:58:00,3549.00,3550.00,3549.00,3550.00,22,0\r\n2006-01-24,13:59:00,3550.00,3550.00,3549.00,3549.00,16,0\r\n2006-01-24,14:00:00,3550.00,3550.00,3549.00,3550.00,136,0\r\n2006-01-24,14:01:00,3549.00,3549.00,3546.00,3546.00,2394,0\r\n2006-01-24,14:02:00,3547.00,3547.00,3546.00,3546.00,485,0\r\n2006-01-24,14:03:00,3546.00,3548.00,3546.00,3547.00,1026,0\r\n2006-01-24,14:04:00,3547.00,3547.00,3546.00,3547.00,269,0\r\n2006-01-24,14:05:00,3547.00,3547.00,3547.00,3547.00,107,0\r\n2006-01-24,14:06:00,3547.00,3547.00,3546.00,3547.00,263,0\r\n2006-01-24,14:07:00,3546.00,3547.00,3546.00,3547.00,116,0\r\n2006-01-24,14:08:00,3547.00,3547.00,3547.00,3547.00,108,0\r\n2006-01-24,14:09:00,3546.00,3547.00,3546.00,3547.00,22,0\r\n2006-01-24,14:10:00,3547.00,3547.00,3546.00,3546.00,406,0\r\n2006-01-24,14:11:00,3547.00,3547.00,3545.00,3545.00,681,0\r\n2006-01-24,14:12:00,3546.00,3547.00,3546.00,3546.00,536,0\r\n2006-01-24,14:13:00,3545.00,3546.00,3545.00,3545.00,239,0\r\n2006-01-24,14:14:00,3545.00,3546.00,3544.00,3545.00,651,0\r\n2006-01-24,14:15:00,3545.00,3546.00,3545.00,3545.00,357,0\r\n2006-01-24,14:16:00,3546.00,3546.00,3545.00,3546.00,529,0\r\n2006-01-24,14:17:00,3547.00,3547.00,3546.00,3547.00,316,0\r\n2006-01-24,14:18:00,3547.00,3548.00,3546.00,3546.00,617,0\r\n2006-01-24,14:19:00,3546.00,3547.00,3546.00,3547.00,244,0\r\n2006-01-24,14:20:00,3547.00,3547.00,3546.00,3546.00,80,0\r\n2006-01-24,14:21:00,3547.00,3547.00,3546.00,3547.00,112,0\r\n2006-01-24,14:22:00,3547.00,3547.00,3547.00,3547.00,888,0\r\n2006-01-24,14:23:00,3547.00,3547.00,3547.00,3547.00,173,0\r\n2006-01-24,14:24:00,3547.00,3548.00,3547.00,3548.00,246,0\r\n2006-01-24,14:25:00,3547.00,3547.00,3547.00,3547.00,91,0\r\n2006-01-24,14:26:00,3547.00,3547.00,3547.00,3547.00,336,0\r\n2006-01-24,14:27:00,3546.00,3547.00,3546.00,3547.00,135,0\r\n2006-01-24,14:28:00,3546.00,3546.00,3546.00,3546.00,6,0\r\n2006-01-24,14:29:00,3546.00,3549.00,3546.00,3549.00,555,0\r\n2006-01-24,14:30:00,3548.00,3548.00,3548.00,3548.00,360,0\r\n2006-01-24,14:31:00,3549.00,3549.00,3548.00,3548.00,177,0\r\n2006-01-24,14:32:00,3548.00,3548.00,3548.00,3548.00,4,0\r\n2006-01-24,14:33:00,3549.00,3550.00,3549.00,3550.00,633,0\r\n2006-01-24,14:34:00,3550.00,3551.00,3550.00,3550.00,863,0\r\n2006-01-24,14:35:00,3550.00,3550.00,3550.00,3550.00,67,0\r\n2006-01-24,14:37:00,3550.00,3550.00,3550.00,3550.00,76,0\r\n2006-01-24,14:38:00,3550.00,3550.00,3550.00,3550.00,72,0\r\n2006-01-24,14:39:00,3550.00,3550.00,3550.00,3550.00,243,0\r\n2006-01-24,14:40:00,3549.00,3550.00,3549.00,3550.00,43,0\r\n2006-01-24,14:41:00,3549.00,3550.00,3549.00,3549.00,765,0\r\n2006-01-24,14:42:00,3550.00,3550.00,3550.00,3550.00,606,0\r\n2006-01-24,14:43:00,3549.00,3550.00,3549.00,3549.00,24,0\r\n2006-01-24,14:44:00,3549.00,3550.00,3549.00,3550.00,159,0\r\n2006-01-24,14:45:00,3550.00,3550.00,3549.00,3549.00,916,0\r\n2006-01-24,14:46:00,3549.00,3550.00,3548.00,3548.00,1990,0\r\n2006-01-24,14:47:00,3548.00,3549.00,3548.00,3549.00,36,0\r\n2006-01-24,14:48:00,3548.00,3549.00,3548.00,3548.00,81,0\r\n2006-01-24,14:49:00,3549.00,3549.00,3548.00,3549.00,289,0\r\n2006-01-24,14:50:00,3549.00,3550.00,3549.00,3550.00,219,0\r\n2006-01-24,14:51:00,3550.00,3550.00,3549.00,3550.00,144,0\r\n2006-01-24,14:52:00,3550.00,3550.00,3549.00,3549.00,120,0\r\n2006-01-24,14:53:00,3550.00,3550.00,3549.00,3549.00,322,0\r\n2006-01-24,14:54:00,3549.00,3549.00,3548.00,3548.00,298,0\r\n2006-01-24,14:55:00,3548.00,3549.00,3548.00,3548.00,42,0\r\n2006-01-24,14:56:00,3548.00,3548.00,3547.00,3547.00,1363,0\r\n2006-01-24,14:57:00,3547.00,3548.00,3547.00,3548.00,238,0\r\n2006-01-24,14:58:00,3548.00,3548.00,3547.00,3547.00,89,0\r\n2006-01-24,14:59:00,3548.00,3548.00,3548.00,3548.00,531,0\r\n2006-01-24,15:00:00,3547.00,3547.00,3547.00,3547.00,1,0\r\n2006-01-24,15:01:00,3547.00,3547.00,3546.00,3546.00,886,0\r\n2006-01-24,15:02:00,3546.00,3548.00,3546.00,3547.00,484,0\r\n2006-01-24,15:03:00,3547.00,3547.00,3546.00,3547.00,524,0\r\n2006-01-24,15:04:00,3546.00,3547.00,3546.00,3547.00,142,0\r\n2006-01-24,15:05:00,3547.00,3548.00,3547.00,3547.00,768,0\r\n2006-01-24,15:06:00,3548.00,3549.00,3548.00,3548.00,325,0\r\n2006-01-24,15:07:00,3548.00,3548.00,3547.00,3548.00,228,0\r\n2006-01-24,15:08:00,3548.00,3548.00,3548.00,3548.00,235,0\r\n2006-01-24,15:09:00,3548.00,3549.00,3548.00,3549.00,79,0\r\n2006-01-24,15:10:00,3549.00,3549.00,3548.00,3548.00,95,0\r\n2006-01-24,15:11:00,3548.00,3548.00,3547.00,3548.00,105,0\r\n2006-01-24,15:12:00,3549.00,3549.00,3549.00,3549.00,29,0\r\n2006-01-24,15:13:00,3548.00,3548.00,3548.00,3548.00,44,0\r\n2006-01-24,15:14:00,3548.00,3548.00,3548.00,3548.00,61,0\r\n2006-01-24,15:15:00,3548.00,3548.00,3548.00,3548.00,21,0\r\n2006-01-24,15:16:00,3549.00,3549.00,3548.00,3549.00,818,0\r\n2006-01-24,15:17:00,3548.00,3548.00,3548.00,3548.00,400,0\r\n2006-01-24,15:18:00,3548.00,3549.00,3547.00,3548.00,183,0\r\n2006-01-24,15:19:00,3548.00,3549.00,3548.00,3548.00,147,0\r\n2006-01-24,15:20:00,3549.00,3549.00,3548.00,3549.00,159,0\r\n2006-01-24,15:22:00,3548.00,3549.00,3548.00,3549.00,6,0\r\n2006-01-24,15:23:00,3549.00,3549.00,3549.00,3549.00,278,0\r\n2006-01-24,15:24:00,3549.00,3549.00,3548.00,3548.00,215,0\r\n2006-01-24,15:25:00,3548.00,3548.00,3547.00,3548.00,1676,0\r\n2006-01-24,15:26:00,3548.00,3548.00,3547.00,3547.00,727,0\r\n2006-01-24,15:27:00,3548.00,3548.00,3548.00,3548.00,561,0\r\n2006-01-24,15:28:00,3548.00,3548.00,3548.00,3548.00,18,0\r\n2006-01-24,15:29:00,3548.00,3548.00,3547.00,3548.00,212,0\r\n2006-01-24,15:30:00,3548.00,3548.00,3548.00,3548.00,632,0\r\n2006-01-24,15:31:00,3548.00,3549.00,3548.00,3549.00,78,0\r\n2006-01-24,15:32:00,3549.00,3550.00,3549.00,3549.00,529,0\r\n2006-01-24,15:33:00,3550.00,3550.00,3549.00,3549.00,178,0\r\n2006-01-24,15:34:00,3549.00,3550.00,3549.00,3550.00,797,0\r\n2006-01-24,15:35:00,3550.00,3551.00,3550.00,3550.00,691,0\r\n2006-01-24,15:36:00,3551.00,3552.00,3551.00,3552.00,1257,0\r\n2006-01-24,15:37:00,3551.00,3553.00,3551.00,3552.00,1771,0\r\n2006-01-24,15:38:00,3552.00,3553.00,3552.00,3552.00,1370,0\r\n2006-01-24,15:39:00,3552.00,3553.00,3552.00,3552.00,604,0\r\n2006-01-24,15:40:00,3552.00,3553.00,3551.00,3553.00,1662,0\r\n2006-01-24,15:41:00,3553.00,3553.00,3552.00,3552.00,651,0\r\n2006-01-24,15:42:00,3552.00,3552.00,3550.00,3551.00,1528,0\r\n2006-01-24,15:43:00,3551.00,3551.00,3551.00,3551.00,296,0\r\n2006-01-24,15:44:00,3552.00,3553.00,3552.00,3552.00,1403,0\r\n2006-01-24,15:45:00,3552.00,3553.00,3551.00,3553.00,2820,0\r\n2006-01-24,15:46:00,3554.00,3554.00,3553.00,3554.00,1579,0\r\n2006-01-24,15:47:00,3554.00,3555.00,3553.00,3553.00,1319,0\r\n2006-01-24,15:48:00,3553.00,3554.00,3553.00,3554.00,1850,0\r\n2006-01-24,15:49:00,3555.00,3555.00,3553.00,3553.00,948,0\r\n2006-01-24,15:50:00,3553.00,3556.00,3553.00,3554.00,2226,0\r\n2006-01-24,15:51:00,3554.00,3555.00,3554.00,3554.00,721,0\r\n2006-01-24,15:52:00,3554.00,3555.00,3554.00,3555.00,658,0\r\n2006-01-24,15:53:00,3555.00,3557.00,3554.00,3556.00,1958,0\r\n2006-01-24,15:54:00,3556.00,3557.00,3556.00,3557.00,1672,0\r\n2006-01-24,15:55:00,3556.00,3557.00,3556.00,3557.00,2787,0\r\n2006-01-24,15:56:00,3557.00,3558.00,3556.00,3557.00,1511,0\r\n2006-01-24,15:57:00,3557.00,3559.00,3557.00,3558.00,4504,0\r\n2006-01-24,15:58:00,3558.00,3559.00,3557.00,3558.00,1202,0\r\n2006-01-24,15:59:00,3558.00,3558.00,3557.00,3558.00,855,0\r\n2006-01-24,16:00:00,3558.00,3559.00,3558.00,3559.00,1151,0\r\n2006-01-24,16:01:00,3558.00,3560.00,3557.00,3558.00,3155,0\r\n2006-01-24,16:02:00,3558.00,3558.00,3557.00,3557.00,2183,0\r\n2006-01-24,16:03:00,3557.00,3557.00,3556.00,3556.00,4119,0\r\n2006-01-24,16:04:00,3556.00,3556.00,3555.00,3556.00,929,0\r\n2006-01-24,16:05:00,3556.00,3558.00,3556.00,3557.00,1126,0\r\n2006-01-24,16:06:00,3558.00,3558.00,3556.00,3557.00,1441,0\r\n2006-01-24,16:07:00,3556.00,3557.00,3555.00,3556.00,480,0\r\n2006-01-24,16:08:00,3555.00,3556.00,3555.00,3556.00,1026,0\r\n2006-01-24,16:09:00,3556.00,3556.00,3555.00,3556.00,376,0\r\n2006-01-24,16:10:00,3557.00,3557.00,3555.00,3555.00,838,0\r\n2006-01-24,16:11:00,3555.00,3556.00,3555.00,3556.00,918,0\r\n2006-01-24,16:12:00,3556.00,3557.00,3556.00,3556.00,451,0\r\n2006-01-24,16:13:00,3556.00,3556.00,3556.00,3556.00,162,0\r\n2006-01-24,16:14:00,3556.00,3556.00,3554.00,3555.00,1356,0\r\n2006-01-24,16:15:00,3555.00,3557.00,3555.00,3556.00,810,0\r\n2006-01-24,16:16:00,3556.00,3557.00,3556.00,3556.00,431,0\r\n2006-01-24,16:17:00,3556.00,3556.00,3555.00,3555.00,633,0\r\n2006-01-24,16:18:00,3555.00,3556.00,3555.00,3555.00,1071,0\r\n2006-01-24,16:19:00,3555.00,3557.00,3555.00,3556.00,1318,0\r\n2006-01-24,16:20:00,3556.00,3557.00,3555.00,3557.00,1290,0\r\n2006-01-24,16:21:00,3558.00,3562.00,3558.00,3560.00,5521,0\r\n2006-01-24,16:22:00,3561.00,3561.00,3559.00,3560.00,3738,0\r\n2006-01-24,16:23:00,3560.00,3561.00,3559.00,3559.00,1135,0\r\n2006-01-24,16:24:00,3559.00,3559.00,3558.00,3559.00,2825,0\r\n2006-01-24,16:25:00,3559.00,3559.00,3557.00,3558.00,633,0\r\n2006-01-24,16:26:00,3557.00,3557.00,3554.00,3554.00,3145,0\r\n2006-01-24,16:27:00,3554.00,3554.00,3554.00,3554.00,857,0\r\n2006-01-24,16:28:00,3553.00,3554.00,3552.00,3552.00,4445,0\r\n2006-01-24,16:29:00,3552.00,3553.00,3551.00,3552.00,2204,0\r\n2006-01-24,16:30:00,3552.00,3554.00,3551.00,3553.00,1412,0\r\n2006-01-24,16:31:00,3553.00,3553.00,3552.00,3552.00,1883,0\r\n2006-01-24,16:32:00,3552.00,3554.00,3551.00,3552.00,1777,0\r\n2006-01-24,16:33:00,3552.00,3553.00,3551.00,3553.00,1453,0\r\n2006-01-24,16:34:00,3553.00,3554.00,3552.00,3553.00,858,0\r\n2006-01-24,16:35:00,3554.00,3554.00,3553.00,3553.00,1042,0\r\n2006-01-24,16:36:00,3553.00,3554.00,3552.00,3553.00,5643,0\r\n2006-01-24,16:37:00,3553.00,3553.00,3552.00,3553.00,629,0\r\n2006-01-24,16:38:00,3553.00,3553.00,3552.00,3553.00,822,0\r\n2006-01-24,16:39:00,3553.00,3555.00,3553.00,3554.00,671,0\r\n2006-01-24,16:40:00,3554.00,3554.00,3553.00,3554.00,731,0\r\n2006-01-24,16:41:00,3553.00,3554.00,3553.00,3554.00,1131,0\r\n2006-01-24,16:42:00,3555.00,3555.00,3554.00,3554.00,596,0\r\n2006-01-24,16:43:00,3555.00,3555.00,3554.00,3555.00,1055,0\r\n2006-01-24,16:44:00,3556.00,3557.00,3555.00,3555.00,1427,0\r\n2006-01-24,16:45:00,3555.00,3556.00,3554.00,3555.00,726,0\r\n2006-01-24,16:46:00,3556.00,3557.00,3555.00,3557.00,1036,0\r\n2006-01-24,16:47:00,3557.00,3557.00,3556.00,3556.00,387,0\r\n2006-01-24,16:48:00,3556.00,3557.00,3556.00,3556.00,852,0\r\n2006-01-24,16:49:00,3556.00,3557.00,3556.00,3556.00,816,0\r\n2006-01-24,16:50:00,3555.00,3555.00,3554.00,3555.00,1121,0\r\n2006-01-24,16:51:00,3555.00,3556.00,3555.00,3556.00,1211,0\r\n2006-01-24,16:52:00,3557.00,3557.00,3555.00,3556.00,922,0\r\n2006-01-24,16:53:00,3556.00,3556.00,3554.00,3554.00,863,0\r\n2006-01-24,16:54:00,3554.00,3555.00,3554.00,3554.00,287,0\r\n2006-01-24,16:55:00,3555.00,3555.00,3551.00,3551.00,3195,0\r\n2006-01-24,16:56:00,3551.00,3552.00,3549.00,3550.00,3933,0\r\n2006-01-24,16:57:00,3550.00,3551.00,3549.00,3549.00,1571,0\r\n2006-01-24,16:58:00,3549.00,3551.00,3549.00,3551.00,1660,0\r\n2006-01-24,16:59:00,3551.00,3551.00,3549.00,3549.00,1185,0\r\n2006-01-24,17:00:00,3549.00,3550.00,3548.00,3548.00,1513,0\r\n2006-01-24,17:01:00,3548.00,3549.00,3546.00,3547.00,6060,0\r\n2006-01-24,17:02:00,3546.00,3548.00,3545.00,3548.00,2489,0\r\n2006-01-24,17:03:00,3547.00,3548.00,3547.00,3547.00,1399,0\r\n2006-01-24,17:04:00,3548.00,3548.00,3545.00,3546.00,2784,0\r\n2006-01-24,17:05:00,3545.00,3547.00,3545.00,3545.00,1464,0\r\n2006-01-24,17:06:00,3545.00,3546.00,3542.00,3542.00,3773,0\r\n2006-01-24,17:07:00,3542.00,3543.00,3541.00,3542.00,5716,0\r\n2006-01-24,17:08:00,3542.00,3544.00,3536.00,3537.00,10304,0\r\n2006-01-24,17:09:00,3536.00,3539.00,3536.00,3538.00,6818,0\r\n2006-01-24,17:10:00,3537.00,3540.00,3537.00,3539.00,3661,0\r\n2006-01-24,17:11:00,3540.00,3540.00,3539.00,3539.00,6080,0\r\n2006-01-24,17:12:00,3539.00,3540.00,3538.00,3540.00,3627,0\r\n2006-01-24,17:13:00,3539.00,3540.00,3538.00,3538.00,2035,0\r\n2006-01-24,17:14:00,3538.00,3539.00,3536.00,3536.00,2905,0\r\n2006-01-24,17:15:00,3536.00,3536.00,3534.00,3535.00,3785,0\r\n2006-01-24,17:16:00,3536.00,3538.00,3535.00,3537.00,3818,0\r\n2006-01-24,17:17:00,3537.00,3537.00,3535.00,3537.00,1800,0\r\n2006-01-24,17:18:00,3536.00,3537.00,3535.00,3535.00,2280,0\r\n2006-01-24,17:19:00,3535.00,3536.00,3534.00,3534.00,2301,0\r\n2006-01-24,17:20:00,3534.00,3537.00,3534.00,3536.00,2620,0\r\n2006-01-24,17:21:00,3537.00,3538.00,3536.00,3538.00,3247,0\r\n2006-01-24,17:22:00,3538.00,3540.00,3538.00,3539.00,2145,0\r\n2006-01-24,17:23:00,3539.00,3540.00,3538.00,3538.00,3402,0\r\n2006-01-24,17:24:00,3539.00,3539.00,3538.00,3539.00,6374,0\r\n2006-01-24,17:25:00,3538.00,3539.00,3537.00,3537.00,1642,0\r\n2006-01-24,17:26:00,3538.00,3539.00,3537.00,3539.00,788,0\r\n2006-01-24,17:27:00,3539.00,3541.00,3539.00,3540.00,4295,0\r\n2006-01-24,17:28:00,3541.00,3541.00,3540.00,3541.00,1486,0\r\n2006-01-24,17:29:00,3541.00,3543.00,3540.00,3542.00,4248,0\r\n2006-01-24,17:30:00,3542.00,3543.00,3540.00,3542.00,3996,0\r\n2006-01-24,17:31:00,3542.00,3542.00,3541.00,3542.00,2714,0\r\n2006-01-24,17:32:00,3541.00,3542.00,3541.00,3541.00,1503,0\r\n2006-01-24,17:33:00,3541.00,3542.00,3540.00,3541.00,2328,0\r\n2006-01-24,17:34:00,3541.00,3541.00,3540.00,3540.00,2182,0\r\n2006-01-24,17:35:00,3540.00,3541.00,3539.00,3541.00,1060,0\r\n2006-01-24,17:36:00,3540.00,3541.00,3540.00,3540.00,816,0\r\n2006-01-24,17:37:00,3540.00,3540.00,3539.00,3539.00,1271,0\r\n2006-01-24,17:38:00,3539.00,3540.00,3538.00,3538.00,3236,0\r\n2006-01-24,17:39:00,3538.00,3539.00,3538.00,3538.00,1864,0\r\n2006-01-24,17:40:00,3538.00,3539.00,3537.00,3538.00,1400,0\r\n2006-01-24,17:41:00,3539.00,3539.00,3538.00,3538.00,631,0\r\n2006-01-24,17:42:00,3538.00,3540.00,3538.00,3540.00,1132,0\r\n2006-01-24,17:43:00,3539.00,3539.00,3539.00,3539.00,967,0\r\n2006-01-24,17:44:00,3539.00,3541.00,3539.00,3541.00,1461,0\r\n2006-01-24,17:45:00,3540.00,3543.00,3540.00,3542.00,1229,0\r\n2006-01-24,17:46:00,3542.00,3543.00,3542.00,3542.00,4251,0\r\n2006-01-24,17:47:00,3543.00,3543.00,3542.00,3543.00,443,0\r\n2006-01-24,17:48:00,3543.00,3543.00,3542.00,3543.00,754,0\r\n2006-01-24,17:49:00,3543.00,3544.00,3542.00,3542.00,1245,0\r\n2006-01-24,17:50:00,3541.00,3543.00,3541.00,3543.00,303,0\r\n2006-01-24,17:51:00,3543.00,3543.00,3542.00,3543.00,418,0\r\n2006-01-24,17:52:00,3543.00,3543.00,3542.00,3542.00,476,0\r\n2006-01-24,17:53:00,3542.00,3542.00,3541.00,3542.00,119,0\r\n2006-01-24,17:54:00,3542.00,3542.00,3541.00,3542.00,241,0\r\n2006-01-24,17:55:00,3541.00,3542.00,3541.00,3542.00,187,0\r\n2006-01-24,17:56:00,3543.00,3543.00,3542.00,3542.00,91,0\r\n2006-01-24,17:57:00,3542.00,3543.00,3542.00,3542.00,153,0\r\n2006-01-24,17:58:00,3542.00,3542.00,3542.00,3542.00,330,0\r\n2006-01-24,17:59:00,3542.00,3542.00,3541.00,3541.00,776,0\r\n2006-01-24,18:00:00,3541.00,3542.00,3541.00,3542.00,229,0\r\n2006-01-24,18:01:00,3541.00,3542.00,3540.00,3540.00,299,0\r\n2006-01-24,18:02:00,3540.00,3542.00,3540.00,3541.00,610,0\r\n2006-01-24,18:03:00,3542.00,3542.00,3542.00,3542.00,43,0\r\n2006-01-24,18:04:00,3542.00,3542.00,3541.00,3542.00,722,0\r\n2006-01-24,18:05:00,3542.00,3542.00,3540.00,3541.00,802,0\r\n2006-01-24,18:06:00,3541.00,3541.00,3540.00,3541.00,1062,0\r\n2006-01-24,18:07:00,3541.00,3541.00,3540.00,3540.00,284,0\r\n2006-01-24,18:08:00,3540.00,3540.00,3539.00,3539.00,313,0\r\n2006-01-24,18:09:00,3540.00,3540.00,3540.00,3540.00,746,0\r\n2006-01-24,18:10:00,3540.00,3541.00,3539.00,3541.00,642,0\r\n2006-01-24,18:11:00,3541.00,3544.00,3541.00,3543.00,1017,0\r\n2006-01-24,18:12:00,3543.00,3543.00,3542.00,3543.00,71,0\r\n2006-01-24,18:13:00,3543.00,3543.00,3542.00,3543.00,386,0\r\n2006-01-24,18:14:00,3543.00,3543.00,3542.00,3543.00,555,0\r\n2006-01-24,18:15:00,3542.00,3543.00,3542.00,3542.00,390,0\r\n2006-01-24,18:16:00,3541.00,3541.00,3539.00,3539.00,973,0\r\n2006-01-24,18:17:00,3539.00,3539.00,3536.00,3537.00,2651,0\r\n2006-01-24,18:18:00,3537.00,3537.00,3536.00,3537.00,510,0\r\n2006-01-24,18:19:00,3537.00,3537.00,3536.00,3536.00,296,0\r\n2006-01-24,18:20:00,3536.00,3536.00,3534.00,3535.00,771,0\r\n2006-01-24,18:21:00,3535.00,3535.00,3533.00,3535.00,982,0\r\n2006-01-24,18:22:00,3534.00,3535.00,3533.00,3534.00,893,0\r\n2006-01-24,18:23:00,3534.00,3536.00,3533.00,3535.00,1123,0\r\n2006-01-24,18:24:00,3536.00,3536.00,3535.00,3535.00,627,0\r\n2006-01-24,18:25:00,3535.00,3536.00,3535.00,3536.00,540,0\r\n2006-01-24,18:26:00,3536.00,3536.00,3536.00,3536.00,22,0\r\n2006-01-24,18:27:00,3536.00,3536.00,3535.00,3536.00,456,0\r\n2006-01-24,18:28:00,3536.00,3538.00,3536.00,3537.00,504,0\r\n2006-01-24,18:29:00,3537.00,3538.00,3537.00,3537.00,19,0\r\n2006-01-24,18:30:00,3537.00,3538.00,3536.00,3537.00,486,0\r\n2006-01-24,18:31:00,3538.00,3538.00,3535.00,3536.00,526,0\r\n2006-01-24,18:32:00,3536.00,3537.00,3535.00,3536.00,168,0\r\n2006-01-24,18:33:00,3536.00,3537.00,3536.00,3536.00,166,0\r\n2006-01-24,18:34:00,3536.00,3537.00,3536.00,3536.00,19,0\r\n2006-01-24,18:35:00,3537.00,3539.00,3537.00,3538.00,428,0\r\n2006-01-24,18:36:00,3538.00,3538.00,3537.00,3537.00,219,0\r\n2006-01-24,18:37:00,3537.00,3538.00,3537.00,3538.00,96,0\r\n2006-01-24,18:38:00,3538.00,3540.00,3538.00,3539.00,211,0\r\n2006-01-24,18:39:00,3539.00,3539.00,3538.00,3538.00,330,0\r\n2006-01-24,18:40:00,3538.00,3538.00,3537.00,3538.00,127,0\r\n2006-01-24,18:41:00,3538.00,3539.00,3537.00,3537.00,305,0\r\n2006-01-24,18:42:00,3537.00,3538.00,3536.00,3537.00,311,0\r\n2006-01-24,18:43:00,3536.00,3536.00,3535.00,3535.00,853,0\r\n2006-01-24,18:44:00,3534.00,3537.00,3534.00,3537.00,1940,0\r\n2006-01-24,18:45:00,3537.00,3538.00,3537.00,3537.00,381,0\r\n2006-01-24,18:46:00,3537.00,3537.00,3537.00,3537.00,206,0\r\n2006-01-24,18:47:00,3537.00,3537.00,3536.00,3536.00,478,0\r\n2006-01-24,18:48:00,3536.00,3537.00,3536.00,3536.00,480,0\r\n2006-01-24,18:49:00,3537.00,3537.00,3537.00,3537.00,87,0\r\n2006-01-24,18:50:00,3537.00,3539.00,3537.00,3539.00,582,0\r\n2006-01-24,18:51:00,3539.00,3542.00,3539.00,3541.00,804,0\r\n2006-01-24,18:52:00,3541.00,3543.00,3541.00,3543.00,480,0\r\n2006-01-24,18:53:00,3543.00,3543.00,3541.00,3542.00,178,0\r\n2006-01-24,18:54:00,3542.00,3544.00,3542.00,3543.00,474,0\r\n2006-01-24,18:55:00,3543.00,3544.00,3542.00,3542.00,729,0\r\n2006-01-24,18:56:00,3542.00,3542.00,3541.00,3541.00,14,0\r\n2006-01-24,18:58:00,3541.00,3542.00,3541.00,3542.00,22,0\r\n2006-01-24,18:59:00,3541.00,3541.00,3540.00,3540.00,170,0\r\n2006-01-24,19:00:00,3541.00,3541.00,3540.00,3541.00,456,0\r\n2006-01-24,19:01:00,3540.00,3540.00,3540.00,3540.00,164,0\r\n2006-01-24,19:02:00,3540.00,3541.00,3540.00,3541.00,352,0\r\n2006-01-24,19:03:00,3541.00,3542.00,3540.00,3540.00,176,0\r\n2006-01-24,19:04:00,3540.00,3541.00,3540.00,3541.00,346,0\r\n2006-01-24,19:05:00,3542.00,3542.00,3542.00,3542.00,254,0\r\n2006-01-24,19:06:00,3541.00,3541.00,3540.00,3540.00,159,0\r\n2006-01-24,19:07:00,3539.00,3539.00,3538.00,3538.00,174,0\r\n2006-01-24,19:08:00,3538.00,3538.00,3537.00,3537.00,120,0\r\n2006-01-24,19:09:00,3537.00,3538.00,3537.00,3538.00,62,0\r\n2006-01-24,19:10:00,3538.00,3538.00,3535.00,3536.00,575,0\r\n2006-01-24,19:11:00,3536.00,3537.00,3536.00,3536.00,144,0\r\n2006-01-24,19:12:00,3537.00,3538.00,3536.00,3538.00,462,0\r\n2006-01-24,19:13:00,3539.00,3539.00,3539.00,3539.00,76,0\r\n2006-01-24,19:14:00,3539.00,3539.00,3539.00,3539.00,51,0\r\n2006-01-24,19:15:00,3538.00,3538.00,3537.00,3537.00,191,0\r\n2006-01-24,19:16:00,3537.00,3539.00,3537.00,3539.00,81,0\r\n2006-01-24,19:17:00,3538.00,3538.00,3537.00,3537.00,120,0\r\n2006-01-24,19:18:00,3538.00,3538.00,3538.00,3538.00,224,0\r\n2006-01-24,19:19:00,3539.00,3539.00,3538.00,3538.00,12,0\r\n2006-01-24,19:20:00,3538.00,3538.00,3538.00,3538.00,9,0\r\n2006-01-24,19:21:00,3538.00,3538.00,3538.00,3538.00,59,0\r\n2006-01-24,19:22:00,3539.00,3539.00,3538.00,3538.00,37,0\r\n2006-01-24,19:23:00,3537.00,3538.00,3537.00,3538.00,292,0\r\n2006-01-24,19:24:00,3538.00,3539.00,3538.00,3539.00,237,0\r\n2006-01-24,19:25:00,3539.00,3540.00,3539.00,3539.00,177,0\r\n2006-01-24,19:26:00,3539.00,3539.00,3539.00,3539.00,2,0\r\n2006-01-24,19:27:00,3539.00,3539.00,3538.00,3539.00,110,0\r\n2006-01-24,19:29:00,3539.00,3540.00,3539.00,3540.00,187,0\r\n2006-01-24,19:30:00,3541.00,3543.00,3541.00,3543.00,532,0\r\n2006-01-24,19:31:00,3544.00,3544.00,3543.00,3543.00,596,0\r\n2006-01-24,19:32:00,3543.00,3543.00,3542.00,3543.00,258,0\r\n2006-01-24,19:33:00,3543.00,3543.00,3543.00,3543.00,80,0\r\n2006-01-24,19:34:00,3543.00,3543.00,3542.00,3543.00,339,0\r\n2006-01-24,19:35:00,3543.00,3543.00,3542.00,3542.00,23,0\r\n2006-01-24,19:36:00,3542.00,3543.00,3542.00,3543.00,49,0\r\n2006-01-24,19:37:00,3543.00,3543.00,3542.00,3542.00,115,0\r\n2006-01-24,19:38:00,3541.00,3541.00,3541.00,3541.00,79,0\r\n2006-01-24,19:39:00,3541.00,3541.00,3541.00,3541.00,133,0\r\n2006-01-24,19:40:00,3541.00,3541.00,3540.00,3540.00,31,0\r\n2006-01-24,19:41:00,3541.00,3541.00,3540.00,3540.00,178,0\r\n2006-01-24,19:42:00,3541.00,3541.00,3540.00,3540.00,123,0\r\n2006-01-24,19:43:00,3540.00,3540.00,3539.00,3539.00,206,0\r\n2006-01-24,19:44:00,3539.00,3539.00,3539.00,3539.00,425,0\r\n2006-01-24,19:45:00,3539.00,3539.00,3539.00,3539.00,34,0\r\n2006-01-24,19:46:00,3540.00,3540.00,3538.00,3538.00,159,0\r\n2006-01-24,19:47:00,3539.00,3540.00,3539.00,3540.00,155,0\r\n2006-01-24,19:48:00,3540.00,3541.00,3539.00,3540.00,270,0\r\n2006-01-24,19:49:00,3540.00,3540.00,3540.00,3540.00,27,0\r\n2006-01-24,19:50:00,3541.00,3541.00,3541.00,3541.00,31,0\r\n2006-01-24,19:51:00,3541.00,3541.00,3541.00,3541.00,60,0\r\n2006-01-24,19:52:00,3542.00,3544.00,3542.00,3544.00,438,0\r\n2006-01-24,19:53:00,3544.00,3544.00,3542.00,3542.00,200,0\r\n2006-01-24,19:54:00,3543.00,3543.00,3543.00,3543.00,71,0\r\n2006-01-24,19:55:00,3543.00,3543.00,3543.00,3543.00,196,0\r\n2006-01-24,19:56:00,3543.00,3544.00,3543.00,3543.00,753,0\r\n2006-01-24,19:57:00,3544.00,3545.00,3544.00,3544.00,213,0\r\n2006-01-24,19:58:00,3544.00,3545.00,3544.00,3545.00,255,0\r\n2006-01-24,19:59:00,3546.00,3547.00,3546.00,3546.00,849,0\r\n2006-01-24,20:00:00,3547.00,3548.00,3547.00,3547.00,706,0\r\n2006-01-24,20:01:00,3547.00,3553.00,3547.00,3551.00,2583,0\r\n2006-01-24,20:02:00,3552.00,3552.00,3550.00,3550.00,560,0\r\n2006-01-24,20:03:00,3550.00,3552.00,3550.00,3551.00,204,0\r\n2006-01-24,20:04:00,3551.00,3554.00,3551.00,3553.00,830,0\r\n2006-01-24,20:05:00,3553.00,3555.00,3553.00,3554.00,641,0\r\n2006-01-24,20:06:00,3555.00,3555.00,3554.00,3554.00,204,0\r\n2006-01-24,20:07:00,3553.00,3554.00,3552.00,3552.00,371,0\r\n2006-01-24,20:08:00,3552.00,3552.00,3551.00,3551.00,264,0\r\n2006-01-24,20:09:00,3552.00,3553.00,3552.00,3553.00,79,0\r\n2006-01-24,20:10:00,3552.00,3552.00,3552.00,3552.00,142,0\r\n2006-01-24,20:11:00,3552.00,3553.00,3551.00,3553.00,223,0\r\n2006-01-24,20:12:00,3554.00,3555.00,3553.00,3554.00,464,0\r\n2006-01-24,20:13:00,3554.00,3555.00,3554.00,3555.00,170,0\r\n2006-01-24,20:14:00,3555.00,3555.00,3553.00,3554.00,735,0\r\n2006-01-24,20:15:00,3553.00,3553.00,3553.00,3553.00,163,0\r\n2006-01-24,20:16:00,3553.00,3553.00,3553.00,3553.00,59,0\r\n2006-01-24,20:17:00,3553.00,3553.00,3553.00,3553.00,25,0\r\n2006-01-24,20:18:00,3553.00,3553.00,3553.00,3553.00,53,0\r\n2006-01-24,20:19:00,3552.00,3552.00,3552.00,3552.00,142,0\r\n2006-01-24,20:20:00,3551.00,3553.00,3551.00,3552.00,85,0\r\n2006-01-24,20:21:00,3552.00,3554.00,3552.00,3554.00,220,0\r\n2006-01-24,20:22:00,3553.00,3555.00,3553.00,3554.00,122,0\r\n2006-01-24,20:23:00,3554.00,3554.00,3553.00,3554.00,119,0\r\n2006-01-24,20:24:00,3554.00,3554.00,3553.00,3553.00,212,0\r\n2006-01-24,20:25:00,3552.00,3552.00,3551.00,3552.00,349,0\r\n2006-01-24,20:26:00,3552.00,3552.00,3551.00,3552.00,277,0\r\n2006-01-24,20:27:00,3551.00,3553.00,3551.00,3553.00,188,0\r\n2006-01-24,20:28:00,3553.00,3554.00,3553.00,3554.00,25,0\r\n2006-01-24,20:29:00,3553.00,3553.00,3553.00,3553.00,9,0\r\n2006-01-24,20:30:00,3552.00,3552.00,3552.00,3552.00,55,0\r\n2006-01-24,20:31:00,3552.00,3552.00,3552.00,3552.00,13,0\r\n2006-01-24,20:32:00,3553.00,3553.00,3552.00,3552.00,116,0\r\n2006-01-24,20:33:00,3552.00,3553.00,3552.00,3553.00,149,0\r\n2006-01-24,20:34:00,3553.00,3553.00,3553.00,3553.00,89,0\r\n2006-01-24,20:35:00,3553.00,3553.00,3553.00,3553.00,27,0\r\n2006-01-24,20:36:00,3553.00,3553.00,3553.00,3553.00,109,0\r\n2006-01-24,20:37:00,3553.00,3553.00,3553.00,3553.00,58,0\r\n2006-01-24,20:38:00,3553.00,3553.00,3553.00,3553.00,21,0\r\n2006-01-24,20:39:00,3552.00,3552.00,3551.00,3551.00,63,0\r\n2006-01-24,20:40:00,3551.00,3552.00,3551.00,3552.00,11,0\r\n2006-01-24,20:41:00,3552.00,3552.00,3551.00,3551.00,137,0\r\n2006-01-24,20:43:00,3551.00,3552.00,3551.00,3552.00,72,0\r\n2006-01-24,20:44:00,3552.00,3552.00,3552.00,3552.00,17,0\r\n2006-01-24,20:45:00,3552.00,3553.00,3552.00,3553.00,7,0\r\n2006-01-24,20:46:00,3553.00,3554.00,3553.00,3554.00,51,0\r\n2006-01-24,20:47:00,3554.00,3554.00,3553.00,3554.00,212,0\r\n2006-01-24,20:48:00,3553.00,3553.00,3552.00,3552.00,153,0\r\n2006-01-24,20:49:00,3552.00,3552.00,3552.00,3552.00,55,0\r\n2006-01-24,20:50:00,3552.00,3552.00,3551.00,3551.00,6,0\r\n2006-01-24,20:51:00,3552.00,3553.00,3552.00,3553.00,73,0\r\n2006-01-24,20:52:00,3554.00,3554.00,3553.00,3553.00,47,0\r\n2006-01-24,20:54:00,3553.00,3553.00,3553.00,3553.00,136,0\r\n2006-01-24,20:55:00,3552.00,3552.00,3551.00,3551.00,86,0\r\n2006-01-24,20:56:00,3550.00,3550.00,3549.00,3550.00,2692,0\r\n2006-01-24,20:57:00,3549.00,3549.00,3549.00,3549.00,43,0\r\n2006-01-24,20:58:00,3549.00,3549.00,3549.00,3549.00,115,0\r\n2006-01-24,20:59:00,3548.00,3548.00,3548.00,3548.00,42,0\r\n2006-01-24,21:00:00,3548.00,3548.00,3547.00,3547.00,66,0\r\n2006-01-24,21:01:00,3547.00,3549.00,3547.00,3549.00,226,0\r\n2006-01-24,21:02:00,3549.00,3549.00,3549.00,3549.00,83,0\r\n2006-01-24,21:03:00,3549.00,3549.00,3549.00,3549.00,40,0\r\n2006-01-24,21:04:00,3550.00,3550.00,3549.00,3549.00,23,0\r\n2006-01-24,21:05:00,3549.00,3550.00,3548.00,3549.00,304,0\r\n2006-01-24,21:06:00,3548.00,3549.00,3548.00,3549.00,141,0\r\n2006-01-24,21:07:00,3549.00,3550.00,3549.00,3549.00,93,0\r\n2006-01-24,21:08:00,3549.00,3550.00,3549.00,3550.00,59,0\r\n2006-01-24,21:10:00,3550.00,3550.00,3548.00,3548.00,116,0\r\n2006-01-24,21:11:00,3548.00,3548.00,3547.00,3548.00,131,0\r\n2006-01-24,21:12:00,3548.00,3549.00,3548.00,3548.00,101,0\r\n2006-01-24,21:13:00,3548.00,3549.00,3548.00,3548.00,113,0\r\n2006-01-24,21:14:00,3549.00,3549.00,3548.00,3549.00,56,0\r\n2006-01-24,21:15:00,3549.00,3549.00,3547.00,3548.00,36,0\r\n2006-01-24,21:16:00,3548.00,3548.00,3548.00,3548.00,26,0\r\n2006-01-24,21:17:00,3547.00,3549.00,3547.00,3549.00,16,0\r\n2006-01-24,21:18:00,3548.00,3549.00,3548.00,3549.00,35,0\r\n2006-01-24,21:19:00,3549.00,3549.00,3548.00,3548.00,48,0\r\n2006-01-24,21:20:00,3549.00,3550.00,3548.00,3550.00,71,0\r\n2006-01-24,21:21:00,3550.00,3550.00,3549.00,3550.00,76,0\r\n2006-01-24,21:22:00,3550.00,3551.00,3549.00,3551.00,382,0\r\n2006-01-24,21:23:00,3552.00,3552.00,3551.00,3551.00,76,0\r\n2006-01-24,21:24:00,3550.00,3550.00,3550.00,3550.00,138,0\r\n2006-01-24,21:25:00,3551.00,3551.00,3550.00,3551.00,29,0\r\n2006-01-24,21:26:00,3551.00,3551.00,3550.00,3551.00,26,0\r\n2006-01-24,21:27:00,3551.00,3551.00,3550.00,3551.00,12,0\r\n2006-01-24,21:28:00,3550.00,3551.00,3550.00,3551.00,42,0\r\n2006-01-24,21:29:00,3551.00,3551.00,3551.00,3551.00,10,0\r\n2006-01-24,21:30:00,3551.00,3551.00,3551.00,3551.00,65,0\r\n2006-01-24,21:31:00,3552.00,3553.00,3552.00,3553.00,35,0\r\n2006-01-24,21:32:00,3552.00,3553.00,3552.00,3553.00,42,0\r\n2006-01-24,21:33:00,3552.00,3552.00,3551.00,3552.00,48,0\r\n2006-01-24,21:34:00,3552.00,3552.00,3551.00,3552.00,31,0\r\n2006-01-24,21:35:00,3551.00,3552.00,3550.00,3550.00,38,0\r\n2006-01-24,21:36:00,3551.00,3552.00,3551.00,3551.00,161,0\r\n2006-01-24,21:37:00,3551.00,3552.00,3551.00,3552.00,44,0\r\n2006-01-24,21:38:00,3552.00,3552.00,3551.00,3551.00,64,0\r\n2006-01-24,21:39:00,3552.00,3552.00,3552.00,3552.00,35,0\r\n2006-01-24,21:40:00,3552.00,3552.00,3552.00,3552.00,34,0\r\n2006-01-24,21:41:00,3552.00,3552.00,3552.00,3552.00,10,0\r\n2006-01-24,21:42:00,3552.00,3552.00,3551.00,3552.00,94,0\r\n2006-01-24,21:43:00,3551.00,3552.00,3551.00,3552.00,12,0\r\n2006-01-24,21:44:00,3552.00,3552.00,3551.00,3552.00,47,0\r\n2006-01-24,21:45:00,3552.00,3552.00,3552.00,3552.00,12,0\r\n2006-01-24,21:46:00,3552.00,3552.00,3552.00,3552.00,38,0\r\n2006-01-24,21:47:00,3552.00,3552.00,3552.00,3552.00,17,0\r\n2006-01-24,21:48:00,3552.00,3552.00,3551.00,3552.00,31,0\r\n2006-01-24,21:49:00,3552.00,3552.00,3552.00,3552.00,10,0\r\n2006-01-24,21:50:00,3552.00,3552.00,3551.00,3552.00,40,0\r\n2006-01-24,21:51:00,3552.00,3552.00,3552.00,3552.00,10,0\r\n2006-01-24,21:52:00,3552.00,3552.00,3551.00,3551.00,31,0\r\n2006-01-24,21:53:00,3552.00,3552.00,3551.00,3552.00,230,0\r\n2006-01-24,21:54:00,3552.00,3552.00,3552.00,3552.00,26,0\r\n2006-01-24,21:55:00,3552.00,3552.00,3551.00,3552.00,184,0\r\n2006-01-24,21:56:00,3552.00,3553.00,3551.00,3552.00,80,0\r\n2006-01-24,21:57:00,3552.00,3552.00,3551.00,3551.00,198,0\r\n2006-01-24,21:58:00,3551.00,3552.00,3551.00,3551.00,63,0\r\n2006-01-24,21:59:00,3551.00,3551.00,3550.00,3550.00,84,0\r\n2006-01-24,22:00:00,3550.00,3550.00,3547.00,3547.00,111,0\r\n2006-01-25,09:01:00,3559.00,3560.00,3557.00,3557.00,7404,0\r\n2006-01-25,09:02:00,3557.00,3558.00,3556.00,3557.00,1295,0\r\n2006-01-25,09:03:00,3557.00,3557.00,3552.00,3553.00,6060,0\r\n2006-01-25,09:04:00,3553.00,3554.00,3553.00,3554.00,1655,0\r\n2006-01-25,09:05:00,3554.00,3554.00,3552.00,3553.00,2976,0\r\n2006-01-25,09:06:00,3552.00,3553.00,3551.00,3552.00,2525,0\r\n2006-01-25,09:07:00,3552.00,3552.00,3550.00,3552.00,2467,0\r\n2006-01-25,09:08:00,3552.00,3553.00,3551.00,3552.00,977,0\r\n2006-01-25,09:09:00,3552.00,3553.00,3550.00,3553.00,1089,0\r\n2006-01-25,09:10:00,3553.00,3554.00,3551.00,3551.00,1631,0\r\n2006-01-25,09:11:00,3552.00,3552.00,3550.00,3550.00,717,0\r\n2006-01-25,09:12:00,3551.00,3552.00,3550.00,3550.00,1766,0\r\n2006-01-25,09:13:00,3550.00,3550.00,3549.00,3550.00,1341,0\r\n2006-01-25,09:14:00,3551.00,3553.00,3550.00,3552.00,974,0\r\n2006-01-25,09:15:00,3552.00,3552.00,3550.00,3550.00,1057,0\r\n2006-01-25,09:16:00,3551.00,3552.00,3548.00,3550.00,4954,0\r\n2006-01-25,09:17:00,3550.00,3551.00,3549.00,3551.00,1282,0\r\n2006-01-25,09:18:00,3551.00,3552.00,3551.00,3551.00,824,0\r\n2006-01-25,09:19:00,3551.00,3553.00,3551.00,3553.00,786,0\r\n2006-01-25,09:20:00,3553.00,3553.00,3552.00,3553.00,1182,0\r\n2006-01-25,09:21:00,3553.00,3553.00,3551.00,3553.00,1626,0\r\n2006-01-25,09:22:00,3553.00,3553.00,3552.00,3552.00,378,0\r\n2006-01-25,09:23:00,3553.00,3553.00,3552.00,3553.00,303,0\r\n2006-01-25,09:24:00,3553.00,3554.00,3553.00,3554.00,542,0\r\n2006-01-25,09:25:00,3554.00,3556.00,3554.00,3555.00,2493,0\r\n2006-01-25,09:26:00,3555.00,3556.00,3555.00,3556.00,1116,0\r\n2006-01-25,09:27:00,3556.00,3556.00,3554.00,3555.00,1362,0\r\n2006-01-25,09:28:00,3554.00,3555.00,3554.00,3555.00,767,0\r\n2006-01-25,09:29:00,3555.00,3555.00,3552.00,3553.00,1589,0\r\n2006-01-25,09:30:00,3553.00,3554.00,3551.00,3551.00,3845,0\r\n2006-01-25,09:31:00,3551.00,3552.00,3550.00,3552.00,1659,0\r\n2006-01-25,09:32:00,3552.00,3553.00,3552.00,3553.00,334,0\r\n2006-01-25,09:33:00,3553.00,3554.00,3552.00,3553.00,160,0\r\n2006-01-25,09:34:00,3554.00,3556.00,3554.00,3556.00,1264,0\r\n2006-01-25,09:35:00,3555.00,3556.00,3554.00,3554.00,980,0\r\n2006-01-25,09:36:00,3554.00,3555.00,3554.00,3554.00,614,0\r\n2006-01-25,09:37:00,3555.00,3555.00,3553.00,3554.00,311,0\r\n2006-01-25,09:38:00,3554.00,3554.00,3552.00,3552.00,1199,0\r\n2006-01-25,09:39:00,3552.00,3553.00,3551.00,3553.00,1289,0\r\n2006-01-25,09:40:00,3552.00,3553.00,3551.00,3552.00,1285,0\r\n2006-01-25,09:41:00,3551.00,3554.00,3551.00,3553.00,522,0\r\n2006-01-25,09:42:00,3552.00,3554.00,3552.00,3554.00,157,0\r\n2006-01-25,09:43:00,3553.00,3556.00,3553.00,3556.00,1374,0\r\n2006-01-25,09:44:00,3555.00,3556.00,3554.00,3556.00,1827,0\r\n2006-01-25,09:45:00,3556.00,3556.00,3555.00,3555.00,1735,0\r\n2006-01-25,09:46:00,3555.00,3556.00,3555.00,3556.00,409,0\r\n2006-01-25,09:47:00,3556.00,3556.00,3554.00,3555.00,553,0\r\n2006-01-25,09:48:00,3555.00,3557.00,3555.00,3557.00,1367,0\r\n2006-01-25,09:49:00,3556.00,3557.00,3555.00,3556.00,1974,0\r\n2006-01-25,09:50:00,3555.00,3556.00,3555.00,3556.00,449,0\r\n2006-01-25,09:51:00,3555.00,3556.00,3554.00,3555.00,312,0\r\n2006-01-25,09:52:00,3554.00,3557.00,3554.00,3556.00,945,0\r\n2006-01-25,09:53:00,3556.00,3558.00,3556.00,3558.00,1419,0\r\n2006-01-25,09:54:00,3557.00,3558.00,3557.00,3557.00,510,0\r\n2006-01-25,09:55:00,3558.00,3558.00,3556.00,3557.00,950,0\r\n2006-01-25,09:56:00,3556.00,3557.00,3556.00,3556.00,435,0\r\n2006-01-25,09:57:00,3557.00,3559.00,3556.00,3559.00,1875,0\r\n2006-01-25,09:58:00,3558.00,3560.00,3558.00,3559.00,1422,0\r\n2006-01-25,09:59:00,3559.00,3560.00,3558.00,3559.00,1110,0\r\n2006-01-25,10:00:00,3558.00,3559.00,3558.00,3559.00,537,0\r\n2006-01-25,10:01:00,3559.00,3563.00,3558.00,3562.00,5230,0\r\n2006-01-25,10:02:00,3562.00,3565.00,3562.00,3563.00,7045,0\r\n2006-01-25,10:03:00,3563.00,3565.00,3563.00,3565.00,2008,0\r\n2006-01-25,10:04:00,3564.00,3566.00,3564.00,3566.00,4773,0\r\n2006-01-25,10:05:00,3565.00,3566.00,3564.00,3564.00,3267,0\r\n2006-01-25,10:06:00,3564.00,3565.00,3562.00,3563.00,3097,0\r\n2006-01-25,10:07:00,3563.00,3564.00,3562.00,3564.00,2220,0\r\n2006-01-25,10:08:00,3563.00,3565.00,3563.00,3565.00,1099,0\r\n2006-01-25,10:09:00,3564.00,3565.00,3563.00,3564.00,1715,0\r\n2006-01-25,10:10:00,3564.00,3565.00,3563.00,3563.00,477,0\r\n2006-01-25,10:11:00,3564.00,3564.00,3563.00,3563.00,769,0\r\n2006-01-25,10:12:00,3563.00,3563.00,3562.00,3562.00,1275,0\r\n2006-01-25,10:13:00,3562.00,3563.00,3562.00,3563.00,2021,0\r\n2006-01-25,10:14:00,3563.00,3563.00,3562.00,3562.00,1972,0\r\n2006-01-25,10:15:00,3562.00,3562.00,3560.00,3561.00,3132,0\r\n2006-01-25,10:16:00,3562.00,3562.00,3560.00,3561.00,716,0\r\n2006-01-25,10:17:00,3561.00,3563.00,3561.00,3563.00,702,0\r\n2006-01-25,10:18:00,3562.00,3564.00,3562.00,3563.00,1197,0\r\n2006-01-25,10:19:00,3563.00,3564.00,3563.00,3564.00,455,0\r\n2006-01-25,10:20:00,3564.00,3565.00,3563.00,3564.00,696,0\r\n2006-01-25,10:21:00,3565.00,3565.00,3562.00,3564.00,1194,0\r\n2006-01-25,10:22:00,3563.00,3564.00,3563.00,3563.00,1912,0\r\n2006-01-25,10:23:00,3563.00,3563.00,3562.00,3563.00,304,0\r\n2006-01-25,10:24:00,3562.00,3563.00,3562.00,3563.00,2459,0\r\n2006-01-25,10:25:00,3564.00,3564.00,3562.00,3563.00,1123,0\r\n2006-01-25,10:26:00,3562.00,3563.00,3562.00,3563.00,355,0\r\n2006-01-25,10:27:00,3562.00,3564.00,3561.00,3562.00,1707,0\r\n2006-01-25,10:28:00,3561.00,3562.00,3561.00,3561.00,998,0\r\n2006-01-25,10:29:00,3561.00,3562.00,3561.00,3562.00,160,0\r\n2006-01-25,10:30:00,3561.00,3562.00,3561.00,3561.00,1596,0\r\n2006-01-25,10:31:00,3561.00,3562.00,3561.00,3561.00,6,0\r\n2006-01-25,10:32:00,3562.00,3562.00,3561.00,3561.00,1585,0\r\n2006-01-25,10:33:00,3561.00,3563.00,3560.00,3563.00,778,0\r\n2006-01-25,10:34:00,3563.00,3563.00,3561.00,3562.00,187,0\r\n2006-01-25,10:35:00,3562.00,3562.00,3561.00,3562.00,309,0\r\n2006-01-25,10:36:00,3562.00,3562.00,3561.00,3562.00,54,0\r\n2006-01-25,10:37:00,3562.00,3562.00,3561.00,3562.00,129,0\r\n2006-01-25,10:38:00,3562.00,3563.00,3562.00,3563.00,861,0\r\n2006-01-25,10:39:00,3563.00,3564.00,3562.00,3563.00,752,0\r\n2006-01-25,10:40:00,3562.00,3563.00,3562.00,3563.00,38,0\r\n2006-01-25,10:41:00,3562.00,3562.00,3562.00,3562.00,483,0\r\n2006-01-25,10:42:00,3562.00,3562.00,3561.00,3562.00,388,0\r\n2006-01-25,10:43:00,3562.00,3563.00,3562.00,3562.00,373,0\r\n2006-01-25,10:44:00,3562.00,3562.00,3562.00,3562.00,52,0\r\n2006-01-25,10:45:00,3562.00,3563.00,3562.00,3562.00,415,0\r\n2006-01-25,10:46:00,3562.00,3562.00,3560.00,3560.00,1008,0\r\n2006-01-25,10:47:00,3560.00,3560.00,3559.00,3560.00,885,0\r\n2006-01-25,10:48:00,3560.00,3560.00,3560.00,3560.00,323,0\r\n2006-01-25,10:49:00,3561.00,3561.00,3559.00,3560.00,602,0\r\n2006-01-25,10:50:00,3560.00,3561.00,3559.00,3560.00,682,0\r\n2006-01-25,10:51:00,3560.00,3561.00,3560.00,3561.00,521,0\r\n2006-01-25,10:52:00,3561.00,3562.00,3561.00,3561.00,556,0\r\n2006-01-25,10:53:00,3562.00,3562.00,3561.00,3562.00,309,0\r\n2006-01-25,10:54:00,3562.00,3562.00,3561.00,3562.00,137,0\r\n2006-01-25,10:55:00,3562.00,3562.00,3561.00,3562.00,165,0\r\n2006-01-25,10:56:00,3562.00,3562.00,3561.00,3562.00,27,0\r\n2006-01-25,10:57:00,3562.00,3562.00,3561.00,3562.00,67,0\r\n2006-01-25,10:58:00,3561.00,3561.00,3560.00,3560.00,1447,0\r\n2006-01-25,10:59:00,3560.00,3560.00,3560.00,3560.00,25,0\r\n2006-01-25,11:00:00,3560.00,3561.00,3560.00,3561.00,191,0\r\n2006-01-25,11:01:00,3561.00,3563.00,3561.00,3563.00,1079,0\r\n2006-01-25,11:02:00,3562.00,3565.00,3562.00,3564.00,1652,0\r\n2006-01-25,11:03:00,3564.00,3565.00,3563.00,3564.00,964,0\r\n2006-01-25,11:04:00,3565.00,3565.00,3564.00,3564.00,446,0\r\n2006-01-25,11:05:00,3564.00,3564.00,3563.00,3563.00,761,0\r\n2006-01-25,11:06:00,3564.00,3564.00,3563.00,3563.00,184,0\r\n2006-01-25,11:07:00,3563.00,3564.00,3563.00,3564.00,2143,0\r\n2006-01-25,11:08:00,3563.00,3564.00,3563.00,3563.00,1303,0\r\n2006-01-25,11:09:00,3563.00,3563.00,3563.00,3563.00,2002,0\r\n2006-01-25,11:10:00,3563.00,3564.00,3563.00,3563.00,545,0\r\n2006-01-25,11:11:00,3563.00,3563.00,3562.00,3563.00,155,0\r\n2006-01-25,11:12:00,3563.00,3564.00,3562.00,3564.00,1139,0\r\n2006-01-25,11:13:00,3564.00,3565.00,3563.00,3565.00,2039,0\r\n2006-01-25,11:14:00,3565.00,3565.00,3563.00,3564.00,1204,0\r\n2006-01-25,11:15:00,3564.00,3565.00,3564.00,3564.00,499,0\r\n2006-01-25,11:16:00,3564.00,3565.00,3564.00,3565.00,268,0\r\n2006-01-25,11:17:00,3565.00,3565.00,3564.00,3564.00,505,0\r\n2006-01-25,11:18:00,3565.00,3567.00,3565.00,3567.00,2175,0\r\n2006-01-25,11:19:00,3567.00,3567.00,3565.00,3565.00,3219,0\r\n2006-01-25,11:20:00,3565.00,3566.00,3565.00,3566.00,1196,0\r\n2006-01-25,11:21:00,3565.00,3567.00,3565.00,3566.00,598,0\r\n2006-01-25,11:22:00,3566.00,3567.00,3565.00,3566.00,861,0\r\n2006-01-25,11:23:00,3566.00,3566.00,3565.00,3565.00,466,0\r\n2006-01-25,11:24:00,3565.00,3566.00,3564.00,3566.00,1537,0\r\n2006-01-25,11:25:00,3565.00,3567.00,3565.00,3566.00,2857,0\r\n2006-01-25,11:26:00,3566.00,3566.00,3566.00,3566.00,237,0\r\n2006-01-25,11:27:00,3567.00,3567.00,3566.00,3566.00,45,0\r\n2006-01-25,11:28:00,3566.00,3566.00,3565.00,3565.00,681,0\r\n2006-01-25,11:29:00,3565.00,3566.00,3565.00,3565.00,12,0\r\n2006-01-25,11:30:00,3566.00,3566.00,3565.00,3566.00,812,0\r\n2006-01-25,11:31:00,3566.00,3567.00,3565.00,3566.00,372,0\r\n2006-01-25,11:32:00,3566.00,3567.00,3566.00,3566.00,242,0\r\n2006-01-25,11:33:00,3567.00,3567.00,3566.00,3567.00,554,0\r\n2006-01-25,11:34:00,3566.00,3567.00,3566.00,3566.00,562,0\r\n2006-01-25,11:35:00,3567.00,3568.00,3566.00,3568.00,4218,0\r\n2006-01-25,11:36:00,3568.00,3569.00,3568.00,3569.00,1298,0\r\n2006-01-25,11:37:00,3569.00,3570.00,3568.00,3568.00,3884,0\r\n2006-01-25,11:38:00,3568.00,3569.00,3568.00,3569.00,52,0\r\n2006-01-25,11:39:00,3568.00,3569.00,3568.00,3569.00,189,0\r\n2006-01-25,11:40:00,3568.00,3569.00,3567.00,3567.00,1023,0\r\n2006-01-25,11:41:00,3568.00,3568.00,3567.00,3568.00,1331,0\r\n2006-01-25,11:42:00,3568.00,3569.00,3567.00,3568.00,994,0\r\n2006-01-25,11:43:00,3568.00,3569.00,3568.00,3568.00,138,0\r\n2006-01-25,11:44:00,3568.00,3570.00,3568.00,3569.00,758,0\r\n2006-01-25,11:45:00,3569.00,3570.00,3569.00,3569.00,2474,0\r\n2006-01-25,11:46:00,3570.00,3572.00,3569.00,3572.00,2409,0\r\n2006-01-25,11:47:00,3572.00,3573.00,3570.00,3570.00,7114,0\r\n2006-01-25,11:48:00,3570.00,3571.00,3569.00,3571.00,3159,0\r\n2006-01-25,11:49:00,3571.00,3571.00,3569.00,3569.00,464,0\r\n2006-01-25,11:50:00,3570.00,3570.00,3569.00,3570.00,781,0\r\n2006-01-25,11:51:00,3569.00,3570.00,3569.00,3570.00,211,0\r\n2006-01-25,11:52:00,3570.00,3570.00,3569.00,3570.00,106,0\r\n2006-01-25,11:53:00,3570.00,3570.00,3569.00,3570.00,13,0\r\n2006-01-25,11:54:00,3569.00,3570.00,3569.00,3569.00,238,0\r\n2006-01-25,11:55:00,3569.00,3570.00,3569.00,3570.00,273,0\r\n2006-01-25,11:56:00,3569.00,3570.00,3569.00,3570.00,230,0\r\n2006-01-25,11:57:00,3570.00,3570.00,3569.00,3569.00,174,0\r\n2006-01-25,11:58:00,3570.00,3571.00,3570.00,3570.00,952,0\r\n2006-01-25,11:59:00,3570.00,3571.00,3570.00,3571.00,11,0\r\n2006-01-25,12:00:00,3570.00,3570.00,3570.00,3570.00,121,0\r\n2006-01-25,12:01:00,3571.00,3572.00,3569.00,3569.00,1218,0\r\n2006-01-25,12:02:00,3570.00,3571.00,3569.00,3570.00,924,0\r\n2006-01-25,12:03:00,3570.00,3570.00,3569.00,3569.00,964,0\r\n2006-01-25,12:04:00,3569.00,3570.00,3569.00,3570.00,445,0\r\n2006-01-25,12:05:00,3569.00,3570.00,3569.00,3569.00,175,0\r\n2006-01-25,12:06:00,3569.00,3569.00,3569.00,3569.00,418,0\r\n2006-01-25,12:07:00,3569.00,3570.00,3569.00,3569.00,243,0\r\n2006-01-25,12:08:00,3569.00,3570.00,3569.00,3569.00,430,0\r\n2006-01-25,12:09:00,3569.00,3570.00,3568.00,3570.00,2108,0\r\n2006-01-25,12:10:00,3569.00,3569.00,3569.00,3569.00,21,0\r\n2006-01-25,12:11:00,3570.00,3571.00,3570.00,3570.00,466,0\r\n2006-01-25,12:12:00,3570.00,3570.00,3570.00,3570.00,73,0\r\n2006-01-25,12:13:00,3570.00,3572.00,3570.00,3572.00,705,0\r\n2006-01-25,12:14:00,3572.00,3573.00,3572.00,3573.00,1124,0\r\n2006-01-25,12:15:00,3573.00,3573.00,3571.00,3572.00,808,0\r\n2006-01-25,12:16:00,3572.00,3572.00,3571.00,3572.00,22,0\r\n2006-01-25,12:17:00,3572.00,3572.00,3571.00,3572.00,911,0\r\n2006-01-25,12:18:00,3572.00,3572.00,3571.00,3571.00,1389,0\r\n2006-01-25,12:19:00,3571.00,3571.00,3570.00,3570.00,218,0\r\n2006-01-25,12:20:00,3570.00,3572.00,3570.00,3572.00,631,0\r\n2006-01-25,12:21:00,3572.00,3573.00,3572.00,3572.00,288,0\r\n2006-01-25,12:22:00,3572.00,3574.00,3572.00,3573.00,1319,0\r\n2006-01-25,12:23:00,3573.00,3574.00,3572.00,3572.00,2166,0\r\n2006-01-25,12:24:00,3572.00,3573.00,3572.00,3572.00,1283,0\r\n2006-01-25,12:25:00,3572.00,3573.00,3572.00,3572.00,183,0\r\n2006-01-25,12:26:00,3572.00,3573.00,3572.00,3572.00,1298,0\r\n2006-01-25,12:27:00,3572.00,3573.00,3572.00,3572.00,1716,0\r\n2006-01-25,12:28:00,3572.00,3572.00,3571.00,3571.00,703,0\r\n2006-01-25,12:29:00,3571.00,3572.00,3571.00,3571.00,1644,0\r\n2006-01-25,12:30:00,3571.00,3571.00,3571.00,3571.00,563,0\r\n2006-01-25,12:31:00,3571.00,3572.00,3571.00,3571.00,2595,0\r\n2006-01-25,12:32:00,3572.00,3572.00,3571.00,3571.00,138,0\r\n2006-01-25,12:33:00,3571.00,3571.00,3571.00,3571.00,25,0\r\n2006-01-25,12:34:00,3571.00,3571.00,3570.00,3570.00,771,0\r\n2006-01-25,12:35:00,3570.00,3570.00,3570.00,3570.00,708,0\r\n2006-01-25,12:36:00,3570.00,3570.00,3570.00,3570.00,348,0\r\n2006-01-25,12:37:00,3571.00,3571.00,3571.00,3571.00,589,0\r\n2006-01-25,12:38:00,3571.00,3571.00,3570.00,3570.00,136,0\r\n2006-01-25,12:39:00,3571.00,3571.00,3570.00,3570.00,267,0\r\n2006-01-25,12:40:00,3570.00,3571.00,3570.00,3571.00,209,0\r\n2006-01-25,12:41:00,3571.00,3571.00,3570.00,3570.00,626,0\r\n2006-01-25,12:42:00,3570.00,3571.00,3570.00,3570.00,42,0\r\n2006-01-25,12:43:00,3570.00,3570.00,3569.00,3569.00,234,0\r\n2006-01-25,12:44:00,3569.00,3569.00,3568.00,3569.00,1087,0\r\n2006-01-25,12:45:00,3569.00,3569.00,3568.00,3569.00,156,0\r\n2006-01-25,12:46:00,3568.00,3569.00,3568.00,3568.00,849,0\r\n2006-01-25,12:47:00,3568.00,3568.00,3567.00,3568.00,420,0\r\n2006-01-25,12:48:00,3567.00,3568.00,3567.00,3567.00,282,0\r\n2006-01-25,12:49:00,3567.00,3568.00,3567.00,3567.00,1005,0\r\n2006-01-25,12:50:00,3567.00,3567.00,3567.00,3567.00,442,0\r\n2006-01-25,12:51:00,3567.00,3568.00,3567.00,3568.00,657,0\r\n2006-01-25,12:52:00,3567.00,3568.00,3567.00,3568.00,1039,0\r\n2006-01-25,12:53:00,3567.00,3568.00,3567.00,3568.00,76,0\r\n2006-01-25,12:54:00,3567.00,3568.00,3567.00,3567.00,541,0\r\n2006-01-25,12:55:00,3568.00,3568.00,3566.00,3567.00,984,0\r\n2006-01-25,12:56:00,3567.00,3567.00,3566.00,3566.00,900,0\r\n2006-01-25,12:57:00,3566.00,3567.00,3566.00,3566.00,1121,0\r\n2006-01-25,12:58:00,3567.00,3567.00,3566.00,3567.00,2418,0\r\n2006-01-25,12:59:00,3567.00,3567.00,3566.00,3566.00,2366,0\r\n2006-01-25,13:00:00,3567.00,3567.00,3566.00,3567.00,580,0\r\n2006-01-25,13:01:00,3566.00,3567.00,3566.00,3566.00,97,0\r\n2006-01-25,13:02:00,3566.00,3567.00,3566.00,3566.00,389,0\r\n2006-01-25,13:03:00,3566.00,3567.00,3566.00,3567.00,153,0\r\n2006-01-25,13:04:00,3567.00,3567.00,3566.00,3566.00,283,0\r\n2006-01-25,13:05:00,3566.00,3567.00,3566.00,3567.00,702,0\r\n2006-01-25,13:06:00,3567.00,3568.00,3567.00,3568.00,8,0\r\n2006-01-25,13:07:00,3568.00,3568.00,3568.00,3568.00,2,0\r\n2006-01-25,13:08:00,3567.00,3568.00,3567.00,3568.00,10,0\r\n2006-01-25,13:09:00,3567.00,3568.00,3567.00,3568.00,475,0\r\n2006-01-25,13:10:00,3568.00,3568.00,3567.00,3568.00,1200,0\r\n2006-01-25,13:11:00,3569.00,3569.00,3568.00,3568.00,1494,0\r\n2006-01-25,13:12:00,3568.00,3569.00,3568.00,3569.00,81,0\r\n2006-01-25,13:13:00,3569.00,3569.00,3568.00,3568.00,3,0\r\n2006-01-25,13:14:00,3569.00,3569.00,3568.00,3569.00,26,0\r\n2006-01-25,13:15:00,3569.00,3570.00,3569.00,3570.00,775,0\r\n2006-01-25,13:16:00,3570.00,3570.00,3569.00,3570.00,408,0\r\n2006-01-25,13:17:00,3570.00,3571.00,3570.00,3570.00,801,0\r\n2006-01-25,13:18:00,3570.00,3571.00,3570.00,3571.00,128,0\r\n2006-01-25,13:19:00,3570.00,3571.00,3570.00,3571.00,140,0\r\n2006-01-25,13:20:00,3571.00,3572.00,3571.00,3572.00,1475,0\r\n2006-01-25,13:21:00,3572.00,3573.00,3572.00,3572.00,1042,0\r\n2006-01-25,13:22:00,3573.00,3573.00,3572.00,3573.00,1731,0\r\n2006-01-25,13:23:00,3572.00,3573.00,3572.00,3573.00,774,0\r\n2006-01-25,13:24:00,3572.00,3572.00,3572.00,3572.00,169,0\r\n2006-01-25,13:25:00,3572.00,3573.00,3571.00,3572.00,708,0\r\n2006-01-25,13:26:00,3572.00,3572.00,3572.00,3572.00,371,0\r\n2006-01-25,13:27:00,3572.00,3572.00,3572.00,3572.00,197,0\r\n2006-01-25,13:28:00,3572.00,3572.00,3572.00,3572.00,206,0\r\n2006-01-25,13:29:00,3572.00,3572.00,3572.00,3572.00,1,0\r\n2006-01-25,13:30:00,3573.00,3573.00,3572.00,3572.00,56,0\r\n2006-01-25,13:31:00,3573.00,3573.00,3572.00,3573.00,28,0\r\n2006-01-25,13:32:00,3572.00,3573.00,3572.00,3572.00,116,0\r\n2006-01-25,13:33:00,3573.00,3574.00,3573.00,3573.00,664,0\r\n2006-01-25,13:34:00,3573.00,3573.00,3572.00,3573.00,133,0\r\n2006-01-25,13:35:00,3573.00,3575.00,3573.00,3574.00,1105,0\r\n2006-01-25,13:36:00,3574.00,3575.00,3573.00,3574.00,508,0\r\n2006-01-25,13:37:00,3573.00,3574.00,3572.00,3574.00,1821,0\r\n2006-01-25,13:38:00,3574.00,3574.00,3573.00,3573.00,366,0\r\n2006-01-25,13:39:00,3573.00,3573.00,3573.00,3573.00,205,0\r\n2006-01-25,13:40:00,3573.00,3574.00,3573.00,3573.00,331,0\r\n2006-01-25,13:41:00,3573.00,3574.00,3573.00,3573.00,106,0\r\n2006-01-25,13:42:00,3573.00,3573.00,3573.00,3573.00,38,0\r\n2006-01-25,13:43:00,3574.00,3574.00,3574.00,3574.00,171,0\r\n2006-01-25,13:44:00,3574.00,3575.00,3574.00,3574.00,639,0\r\n2006-01-25,13:45:00,3574.00,3576.00,3574.00,3576.00,984,0\r\n2006-01-25,13:46:00,3576.00,3576.00,3575.00,3575.00,1975,0\r\n2006-01-25,13:47:00,3575.00,3576.00,3574.00,3574.00,1157,0\r\n2006-01-25,13:48:00,3574.00,3574.00,3574.00,3574.00,95,0\r\n2006-01-25,13:49:00,3574.00,3575.00,3574.00,3574.00,382,0\r\n2006-01-25,13:50:00,3574.00,3574.00,3573.00,3573.00,464,0\r\n2006-01-25,13:51:00,3574.00,3574.00,3572.00,3573.00,1236,0\r\n2006-01-25,13:52:00,3573.00,3573.00,3572.00,3572.00,65,0\r\n2006-01-25,13:53:00,3573.00,3573.00,3572.00,3572.00,338,0\r\n2006-01-25,13:54:00,3572.00,3572.00,3572.00,3572.00,357,0\r\n2006-01-25,13:55:00,3572.00,3572.00,3572.00,3572.00,61,0\r\n2006-01-25,13:56:00,3572.00,3572.00,3571.00,3572.00,404,0\r\n2006-01-25,13:57:00,3572.00,3572.00,3571.00,3571.00,1281,0\r\n2006-01-25,13:58:00,3570.00,3571.00,3570.00,3570.00,834,0\r\n2006-01-25,13:59:00,3571.00,3571.00,3570.00,3570.00,1168,0\r\n2006-01-25,14:00:00,3571.00,3571.00,3570.00,3571.00,71,0\r\n2006-01-25,14:01:00,3570.00,3571.00,3570.00,3571.00,393,0\r\n2006-01-25,14:02:00,3571.00,3572.00,3571.00,3572.00,17,0\r\n2006-01-25,14:03:00,3571.00,3571.00,3571.00,3571.00,3,0\r\n2006-01-25,14:04:00,3572.00,3572.00,3571.00,3571.00,59,0\r\n2006-01-25,14:05:00,3572.00,3572.00,3571.00,3571.00,81,0\r\n2006-01-25,14:06:00,3572.00,3572.00,3571.00,3572.00,190,0\r\n2006-01-25,14:07:00,3572.00,3572.00,3571.00,3571.00,3,0\r\n2006-01-25,14:08:00,3571.00,3572.00,3571.00,3571.00,56,0\r\n2006-01-25,14:09:00,3572.00,3574.00,3572.00,3573.00,687,0\r\n2006-01-25,14:10:00,3573.00,3574.00,3573.00,3574.00,287,0\r\n2006-01-25,14:11:00,3573.00,3574.00,3572.00,3572.00,964,0\r\n2006-01-25,14:12:00,3573.00,3573.00,3572.00,3573.00,176,0\r\n2006-01-25,14:13:00,3573.00,3573.00,3573.00,3573.00,64,0\r\n2006-01-25,14:14:00,3572.00,3573.00,3572.00,3572.00,229,0\r\n2006-01-25,14:15:00,3573.00,3573.00,3572.00,3573.00,264,0\r\n2006-01-25,14:16:00,3573.00,3573.00,3572.00,3572.00,418,0\r\n2006-01-25,14:17:00,3572.00,3572.00,3572.00,3572.00,248,0\r\n2006-01-25,14:18:00,3572.00,3572.00,3571.00,3572.00,43,0\r\n2006-01-25,14:19:00,3572.00,3572.00,3572.00,3572.00,130,0\r\n2006-01-25,14:20:00,3572.00,3572.00,3572.00,3572.00,24,0\r\n2006-01-25,14:21:00,3573.00,3573.00,3572.00,3572.00,226,0\r\n2006-01-25,14:22:00,3573.00,3573.00,3572.00,3573.00,301,0\r\n2006-01-25,14:23:00,3572.00,3573.00,3572.00,3572.00,557,0\r\n2006-01-25,14:24:00,3571.00,3572.00,3571.00,3572.00,562,0\r\n2006-01-25,14:25:00,3571.00,3572.00,3571.00,3572.00,117,0\r\n2006-01-25,14:26:00,3571.00,3572.00,3571.00,3572.00,100,0\r\n2006-01-25,14:27:00,3573.00,3573.00,3572.00,3572.00,659,0\r\n2006-01-25,14:28:00,3573.00,3574.00,3572.00,3573.00,356,0\r\n2006-01-25,14:29:00,3573.00,3573.00,3573.00,3573.00,333,0\r\n2006-01-25,14:30:00,3573.00,3573.00,3572.00,3573.00,229,0\r\n2006-01-25,14:31:00,3574.00,3574.00,3573.00,3574.00,239,0\r\n2006-01-25,14:32:00,3573.00,3574.00,3573.00,3574.00,294,0\r\n2006-01-25,14:33:00,3574.00,3574.00,3572.00,3573.00,983,0\r\n2006-01-25,14:34:00,3573.00,3574.00,3573.00,3573.00,87,0\r\n2006-01-25,14:35:00,3573.00,3574.00,3573.00,3574.00,132,0\r\n2006-01-25,14:36:00,3573.00,3573.00,3573.00,3573.00,121,0\r\n2006-01-25,14:37:00,3572.00,3573.00,3572.00,3572.00,133,0\r\n2006-01-25,14:38:00,3572.00,3572.00,3571.00,3571.00,498,0\r\n2006-01-25,14:39:00,3571.00,3571.00,3570.00,3571.00,491,0\r\n2006-01-25,14:40:00,3571.00,3572.00,3571.00,3571.00,8,0\r\n2006-01-25,14:41:00,3572.00,3573.00,3572.00,3573.00,497,0\r\n2006-01-25,14:42:00,3572.00,3573.00,3572.00,3573.00,366,0\r\n2006-01-25,14:43:00,3573.00,3574.00,3573.00,3573.00,3880,0\r\n2006-01-25,14:44:00,3573.00,3573.00,3572.00,3573.00,460,0\r\n2006-01-25,14:45:00,3573.00,3574.00,3573.00,3573.00,272,0\r\n2006-01-25,14:46:00,3573.00,3573.00,3572.00,3572.00,312,0\r\n2006-01-25,14:47:00,3572.00,3572.00,3571.00,3571.00,791,0\r\n2006-01-25,14:48:00,3572.00,3572.00,3572.00,3572.00,225,0\r\n2006-01-25,14:49:00,3573.00,3573.00,3572.00,3573.00,434,0\r\n2006-01-25,14:50:00,3572.00,3572.00,3572.00,3572.00,2005,0\r\n2006-01-25,14:51:00,3572.00,3572.00,3572.00,3572.00,471,0\r\n2006-01-25,14:52:00,3573.00,3573.00,3572.00,3573.00,113,0\r\n2006-01-25,14:53:00,3573.00,3574.00,3572.00,3574.00,300,0\r\n2006-01-25,14:54:00,3574.00,3574.00,3573.00,3574.00,595,0\r\n2006-01-25,14:55:00,3574.00,3575.00,3573.00,3575.00,502,0\r\n2006-01-25,14:56:00,3574.00,3575.00,3573.00,3574.00,491,0\r\n2006-01-25,14:57:00,3574.00,3574.00,3574.00,3574.00,8,0\r\n2006-01-25,14:58:00,3574.00,3575.00,3573.00,3575.00,331,0\r\n2006-01-25,14:59:00,3574.00,3574.00,3574.00,3574.00,20,0\r\n2006-01-25,15:00:00,3575.00,3575.00,3574.00,3575.00,364,0\r\n2006-01-25,15:01:00,3575.00,3576.00,3575.00,3575.00,525,0\r\n2006-01-25,15:02:00,3575.00,3576.00,3575.00,3575.00,401,0\r\n2006-01-25,15:03:00,3574.00,3575.00,3574.00,3575.00,370,0\r\n2006-01-25,15:04:00,3574.00,3574.00,3574.00,3574.00,125,0\r\n2006-01-25,15:05:00,3575.00,3575.00,3575.00,3575.00,1,0\r\n2006-01-25,15:06:00,3574.00,3575.00,3573.00,3573.00,993,0\r\n2006-01-25,15:07:00,3574.00,3574.00,3573.00,3573.00,78,0\r\n2006-01-25,15:08:00,3574.00,3574.00,3573.00,3573.00,260,0\r\n2006-01-25,15:09:00,3574.00,3574.00,3573.00,3574.00,426,0\r\n2006-01-25,15:10:00,3574.00,3575.00,3574.00,3575.00,1060,0\r\n2006-01-25,15:11:00,3575.00,3575.00,3575.00,3575.00,1329,0\r\n2006-01-25,15:12:00,3574.00,3575.00,3574.00,3574.00,504,0\r\n2006-01-25,15:13:00,3574.00,3575.00,3573.00,3574.00,1305,0\r\n2006-01-25,15:14:00,3574.00,3574.00,3573.00,3574.00,1262,0\r\n2006-01-25,15:15:00,3574.00,3575.00,3574.00,3574.00,168,0\r\n2006-01-25,15:16:00,3574.00,3574.00,3574.00,3574.00,853,0\r\n2006-01-25,15:17:00,3574.00,3575.00,3573.00,3573.00,315,0\r\n2006-01-25,15:18:00,3574.00,3574.00,3573.00,3573.00,190,0\r\n2006-01-25,15:19:00,3574.00,3574.00,3573.00,3573.00,145,0\r\n2006-01-25,15:20:00,3573.00,3573.00,3573.00,3573.00,127,0\r\n2006-01-25,15:21:00,3573.00,3573.00,3573.00,3573.00,223,0\r\n2006-01-25,15:22:00,3574.00,3574.00,3574.00,3574.00,289,0\r\n2006-01-25,15:23:00,3573.00,3574.00,3573.00,3573.00,46,0\r\n2006-01-25,15:24:00,3574.00,3575.00,3573.00,3575.00,1556,0\r\n2006-01-25,15:25:00,3575.00,3575.00,3574.00,3574.00,323,0\r\n2006-01-25,15:26:00,3575.00,3575.00,3574.00,3574.00,78,0\r\n2006-01-25,15:27:00,3574.00,3575.00,3574.00,3575.00,331,0\r\n2006-01-25,15:28:00,3576.00,3576.00,3575.00,3576.00,51,0\r\n2006-01-25,15:29:00,3575.00,3578.00,3575.00,3577.00,2907,0\r\n2006-01-25,15:30:00,3577.00,3577.00,3576.00,3576.00,700,0\r\n2006-01-25,15:31:00,3577.00,3578.00,3577.00,3577.00,1368,0\r\n2006-01-25,15:32:00,3578.00,3578.00,3576.00,3577.00,1571,0\r\n2006-01-25,15:33:00,3577.00,3577.00,3576.00,3577.00,429,0\r\n2006-01-25,15:34:00,3576.00,3577.00,3575.00,3576.00,1287,0\r\n2006-01-25,15:35:00,3575.00,3577.00,3575.00,3576.00,396,0\r\n2006-01-25,15:36:00,3576.00,3576.00,3575.00,3575.00,1142,0\r\n2006-01-25,15:37:00,3575.00,3576.00,3574.00,3575.00,1376,0\r\n2006-01-25,15:38:00,3575.00,3575.00,3573.00,3574.00,2121,0\r\n2006-01-25,15:39:00,3574.00,3575.00,3573.00,3573.00,804,0\r\n2006-01-25,15:40:00,3574.00,3575.00,3573.00,3573.00,753,0\r\n2006-01-25,15:41:00,3573.00,3574.00,3573.00,3573.00,1344,0\r\n2006-01-25,15:42:00,3573.00,3574.00,3572.00,3573.00,916,0\r\n2006-01-25,15:43:00,3572.00,3573.00,3572.00,3572.00,2131,0\r\n2006-01-25,15:44:00,3573.00,3574.00,3571.00,3572.00,4172,0\r\n2006-01-25,15:45:00,3572.00,3573.00,3571.00,3571.00,1415,0\r\n2006-01-25,15:46:00,3572.00,3572.00,3571.00,3571.00,634,0\r\n2006-01-25,15:47:00,3571.00,3572.00,3570.00,3570.00,1489,0\r\n2006-01-25,15:48:00,3571.00,3571.00,3570.00,3570.00,1479,0\r\n2006-01-25,15:49:00,3571.00,3573.00,3571.00,3573.00,1308,0\r\n2006-01-25,15:50:00,3573.00,3575.00,3573.00,3574.00,1790,0\r\n2006-01-25,15:51:00,3574.00,3575.00,3573.00,3574.00,984,0\r\n2006-01-25,15:52:00,3574.00,3574.00,3573.00,3574.00,493,0\r\n2006-01-25,15:53:00,3574.00,3575.00,3573.00,3575.00,1115,0\r\n2006-01-25,15:54:00,3575.00,3576.00,3574.00,3574.00,2265,0\r\n2006-01-25,15:55:00,3575.00,3577.00,3574.00,3576.00,2185,0\r\n2006-01-25,15:56:00,3577.00,3577.00,3575.00,3575.00,1764,0\r\n2006-01-25,15:57:00,3575.00,3576.00,3575.00,3576.00,507,0\r\n2006-01-25,15:58:00,3576.00,3576.00,3574.00,3574.00,639,0\r\n2006-01-25,15:59:00,3574.00,3575.00,3574.00,3574.00,936,0\r\n2006-01-25,16:00:00,3573.00,3575.00,3573.00,3574.00,934,0\r\n2006-01-25,16:01:00,3574.00,3575.00,3573.00,3574.00,551,0\r\n2006-01-25,16:02:00,3573.00,3576.00,3573.00,3575.00,858,0\r\n2006-01-25,16:03:00,3576.00,3579.00,3576.00,3577.00,4168,0\r\n2006-01-25,16:04:00,3578.00,3581.00,3577.00,3580.00,3898,0\r\n2006-01-25,16:05:00,3580.00,3582.00,3580.00,3580.00,5481,0\r\n2006-01-25,16:06:00,3580.00,3581.00,3579.00,3579.00,2997,0\r\n2006-01-25,16:07:00,3579.00,3580.00,3577.00,3577.00,3661,0\r\n2006-01-25,16:08:00,3577.00,3579.00,3577.00,3578.00,1967,0\r\n2006-01-25,16:09:00,3578.00,3578.00,3575.00,3575.00,2758,0\r\n2006-01-25,16:10:00,3575.00,3576.00,3572.00,3572.00,4109,0\r\n2006-01-25,16:11:00,3573.00,3574.00,3571.00,3572.00,2186,0\r\n2006-01-25,16:12:00,3572.00,3572.00,3571.00,3572.00,2595,0\r\n2006-01-25,16:13:00,3572.00,3572.00,3569.00,3569.00,4441,0\r\n2006-01-25,16:14:00,3569.00,3571.00,3569.00,3571.00,4581,0\r\n2006-01-25,16:15:00,3570.00,3572.00,3570.00,3572.00,3759,0\r\n2006-01-25,16:16:00,3571.00,3572.00,3570.00,3571.00,1849,0\r\n2006-01-25,16:17:00,3570.00,3572.00,3570.00,3572.00,1901,0\r\n2006-01-25,16:18:00,3572.00,3573.00,3572.00,3573.00,1857,0\r\n2006-01-25,16:19:00,3573.00,3573.00,3571.00,3571.00,1290,0\r\n2006-01-25,16:20:00,3572.00,3572.00,3571.00,3572.00,1062,0\r\n2006-01-25,16:21:00,3571.00,3571.00,3571.00,3571.00,1136,0\r\n2006-01-25,16:22:00,3571.00,3572.00,3569.00,3569.00,1617,0\r\n2006-01-25,16:23:00,3569.00,3570.00,3565.00,3565.00,5027,0\r\n2006-01-25,16:24:00,3565.00,3565.00,3563.00,3564.00,5344,0\r\n2006-01-25,16:25:00,3565.00,3565.00,3561.00,3562.00,3906,0\r\n2006-01-25,16:26:00,3562.00,3563.00,3561.00,3563.00,4278,0\r\n2006-01-25,16:27:00,3563.00,3564.00,3562.00,3563.00,2917,0\r\n2006-01-25,16:28:00,3563.00,3565.00,3562.00,3563.00,3550,0\r\n2006-01-25,16:29:00,3563.00,3564.00,3562.00,3564.00,2228,0\r\n2006-01-25,16:30:00,3564.00,3566.00,3564.00,3565.00,1621,0\r\n2006-01-25,16:31:00,3566.00,3566.00,3563.00,3564.00,2543,0\r\n2006-01-25,16:32:00,3564.00,3564.00,3562.00,3562.00,1227,0\r\n2006-01-25,16:33:00,3562.00,3565.00,3562.00,3563.00,1768,0\r\n2006-01-25,16:34:00,3563.00,3563.00,3562.00,3562.00,1040,0\r\n2006-01-25,16:35:00,3561.00,3562.00,3556.00,3556.00,8611,0\r\n2006-01-25,16:36:00,3557.00,3560.00,3556.00,3559.00,2491,0\r\n2006-01-25,16:37:00,3560.00,3562.00,3559.00,3560.00,2461,0\r\n2006-01-25,16:38:00,3559.00,3561.00,3559.00,3560.00,1844,0\r\n2006-01-25,16:39:00,3560.00,3563.00,3560.00,3562.00,2854,0\r\n2006-01-25,16:40:00,3563.00,3564.00,3562.00,3563.00,4875,0\r\n2006-01-25,16:41:00,3563.00,3563.00,3561.00,3561.00,910,0\r\n2006-01-25,16:42:00,3561.00,3563.00,3561.00,3563.00,1003,0\r\n2006-01-25,16:43:00,3563.00,3563.00,3561.00,3562.00,2553,0\r\n2006-01-25,16:44:00,3562.00,3564.00,3562.00,3564.00,1836,0\r\n2006-01-25,16:45:00,3563.00,3564.00,3562.00,3564.00,776,0\r\n2006-01-25,16:46:00,3563.00,3563.00,3561.00,3562.00,1515,0\r\n2006-01-25,16:47:00,3562.00,3562.00,3561.00,3562.00,1316,0\r\n2006-01-25,16:48:00,3563.00,3565.00,3563.00,3565.00,1894,0\r\n2006-01-25,16:49:00,3565.00,3569.00,3565.00,3568.00,3857,0\r\n2006-01-25,16:50:00,3568.00,3569.00,3566.00,3567.00,3074,0\r\n2006-01-25,16:51:00,3567.00,3569.00,3567.00,3568.00,1306,0\r\n2006-01-25,16:52:00,3568.00,3571.00,3568.00,3571.00,4535,0\r\n2006-01-25,16:53:00,3571.00,3572.00,3571.00,3572.00,3368,0\r\n2006-01-25,16:54:00,3571.00,3572.00,3570.00,3570.00,1886,0\r\n2006-01-25,16:55:00,3570.00,3571.00,3569.00,3569.00,1870,0\r\n2006-01-25,16:56:00,3569.00,3570.00,3568.00,3569.00,2340,0\r\n2006-01-25,16:57:00,3569.00,3570.00,3568.00,3569.00,1182,0\r\n2006-01-25,16:58:00,3569.00,3569.00,3567.00,3569.00,1703,0\r\n2006-01-25,16:59:00,3569.00,3569.00,3567.00,3568.00,1354,0\r\n2006-01-25,17:00:00,3567.00,3570.00,3567.00,3570.00,1327,0\r\n2006-01-25,17:01:00,3569.00,3571.00,3569.00,3570.00,1566,0\r\n2006-01-25,17:02:00,3570.00,3575.00,3570.00,3575.00,5537,0\r\n2006-01-25,17:03:00,3575.00,3577.00,3574.00,3575.00,3870,0\r\n2006-01-25,17:04:00,3574.00,3576.00,3574.00,3574.00,1570,0\r\n2006-01-25,17:05:00,3574.00,3576.00,3573.00,3576.00,2364,0\r\n2006-01-25,17:06:00,3575.00,3575.00,3573.00,3573.00,1194,0\r\n2006-01-25,17:07:00,3573.00,3575.00,3573.00,3574.00,1918,0\r\n2006-01-25,17:08:00,3574.00,3574.00,3572.00,3572.00,1704,0\r\n2006-01-25,17:09:00,3573.00,3573.00,3572.00,3572.00,1713,0\r\n2006-01-25,17:10:00,3572.00,3573.00,3572.00,3572.00,948,0\r\n2006-01-25,17:11:00,3573.00,3574.00,3572.00,3572.00,799,0\r\n2006-01-25,17:12:00,3572.00,3574.00,3572.00,3573.00,818,0\r\n2006-01-25,17:13:00,3573.00,3574.00,3572.00,3573.00,978,0\r\n2006-01-25,17:14:00,3574.00,3574.00,3572.00,3573.00,1446,0\r\n2006-01-25,17:15:00,3573.00,3574.00,3572.00,3573.00,1357,0\r\n2006-01-25,17:16:00,3574.00,3575.00,3572.00,3574.00,795,0\r\n2006-01-25,17:17:00,3575.00,3577.00,3574.00,3577.00,2486,0\r\n2006-01-25,17:18:00,3577.00,3579.00,3577.00,3577.00,2305,0\r\n2006-01-25,17:19:00,3578.00,3580.00,3577.00,3579.00,1598,0\r\n2006-01-25,17:20:00,3580.00,3582.00,3580.00,3581.00,3600,0\r\n2006-01-25,17:21:00,3582.00,3583.00,3581.00,3583.00,4662,0\r\n2006-01-25,17:22:00,3582.00,3584.00,3582.00,3583.00,3413,0\r\n2006-01-25,17:23:00,3583.00,3585.00,3581.00,3581.00,4887,0\r\n2006-01-25,17:24:00,3582.00,3582.00,3580.00,3580.00,2650,0\r\n2006-01-25,17:25:00,3580.00,3582.00,3580.00,3580.00,2214,0\r\n2006-01-25,17:26:00,3580.00,3582.00,3580.00,3581.00,2635,0\r\n2006-01-25,17:27:00,3580.00,3582.00,3580.00,3582.00,2198,0\r\n2006-01-25,17:28:00,3582.00,3584.00,3581.00,3583.00,3407,0\r\n2006-01-25,17:29:00,3584.00,3584.00,3582.00,3582.00,2208,0\r\n2006-01-25,17:30:00,3583.00,3587.00,3582.00,3587.00,6361,0\r\n2006-01-25,17:31:00,3587.00,3591.00,3586.00,3591.00,8140,0\r\n2006-01-25,17:32:00,3590.00,3590.00,3587.00,3588.00,5806,0\r\n2006-01-25,17:33:00,3588.00,3589.00,3587.00,3588.00,3549,0\r\n2006-01-25,17:34:00,3588.00,3588.00,3585.00,3586.00,4552,0\r\n2006-01-25,17:35:00,3585.00,3587.00,3585.00,3585.00,2030,0\r\n2006-01-25,17:36:00,3586.00,3587.00,3585.00,3586.00,1365,0\r\n2006-01-25,17:37:00,3586.00,3589.00,3586.00,3589.00,3067,0\r\n2006-01-25,17:38:00,3589.00,3590.00,3585.00,3585.00,4134,0\r\n2006-01-25,17:39:00,3586.00,3587.00,3585.00,3585.00,1977,0\r\n2006-01-25,17:40:00,3585.00,3586.00,3584.00,3584.00,1825,0\r\n2006-01-25,17:41:00,3584.00,3586.00,3584.00,3586.00,1237,0\r\n2006-01-25,17:42:00,3586.00,3586.00,3583.00,3584.00,1777,0\r\n2006-01-25,17:43:00,3583.00,3585.00,3583.00,3585.00,1731,0\r\n2006-01-25,17:44:00,3584.00,3586.00,3584.00,3585.00,730,0\r\n2006-01-25,17:45:00,3585.00,3585.00,3585.00,3585.00,479,0\r\n2006-01-25,17:46:00,3584.00,3585.00,3584.00,3584.00,2157,0\r\n2006-01-25,17:47:00,3585.00,3585.00,3583.00,3584.00,1508,0\r\n2006-01-25,17:48:00,3585.00,3586.00,3584.00,3585.00,955,0\r\n2006-01-25,17:49:00,3584.00,3584.00,3582.00,3582.00,1398,0\r\n2006-01-25,17:50:00,3583.00,3583.00,3582.00,3583.00,937,0\r\n2006-01-25,17:51:00,3583.00,3583.00,3579.00,3580.00,2796,0\r\n2006-01-25,17:52:00,3580.00,3581.00,3578.00,3578.00,2711,0\r\n2006-01-25,17:53:00,3579.00,3580.00,3578.00,3579.00,1657,0\r\n2006-01-25,17:54:00,3580.00,3581.00,3579.00,3581.00,1330,0\r\n2006-01-25,17:55:00,3582.00,3583.00,3581.00,3582.00,1079,0\r\n2006-01-25,17:56:00,3581.00,3582.00,3579.00,3580.00,1724,0\r\n2006-01-25,17:57:00,3580.00,3582.00,3579.00,3582.00,1253,0\r\n2006-01-25,17:58:00,3583.00,3584.00,3582.00,3583.00,561,0\r\n2006-01-25,17:59:00,3584.00,3584.00,3582.00,3582.00,787,0\r\n2006-01-25,18:00:00,3583.00,3585.00,3582.00,3584.00,634,0\r\n2006-01-25,18:01:00,3584.00,3584.00,3582.00,3583.00,767,0\r\n2006-01-25,18:02:00,3583.00,3584.00,3583.00,3584.00,395,0\r\n2006-01-25,18:03:00,3584.00,3585.00,3584.00,3584.00,591,0\r\n2006-01-25,18:04:00,3584.00,3585.00,3583.00,3584.00,646,0\r\n2006-01-25,18:05:00,3584.00,3585.00,3583.00,3584.00,281,0\r\n2006-01-25,18:06:00,3584.00,3586.00,3584.00,3584.00,356,0\r\n2006-01-25,18:07:00,3584.00,3586.00,3583.00,3583.00,687,0\r\n2006-01-25,18:08:00,3584.00,3584.00,3581.00,3583.00,1020,0\r\n2006-01-25,18:09:00,3583.00,3584.00,3582.00,3584.00,538,0\r\n2006-01-25,18:10:00,3585.00,3585.00,3584.00,3585.00,467,0\r\n2006-01-25,18:11:00,3585.00,3586.00,3584.00,3584.00,288,0\r\n2006-01-25,18:12:00,3585.00,3585.00,3582.00,3583.00,925,0\r\n2006-01-25,18:13:00,3582.00,3583.00,3582.00,3583.00,347,0\r\n2006-01-25,18:14:00,3583.00,3583.00,3582.00,3583.00,552,0\r\n2006-01-25,18:15:00,3582.00,3583.00,3581.00,3581.00,3793,0\r\n2006-01-25,18:16:00,3581.00,3581.00,3579.00,3581.00,1651,0\r\n2006-01-25,18:17:00,3581.00,3581.00,3579.00,3580.00,1353,0\r\n2006-01-25,18:18:00,3580.00,3580.00,3579.00,3579.00,157,0\r\n2006-01-25,18:19:00,3580.00,3582.00,3580.00,3581.00,476,0\r\n2006-01-25,18:20:00,3581.00,3581.00,3579.00,3580.00,557,0\r\n2006-01-25,18:21:00,3580.00,3581.00,3579.00,3580.00,576,0\r\n2006-01-25,18:22:00,3580.00,3582.00,3579.00,3582.00,222,0\r\n2006-01-25,18:23:00,3581.00,3581.00,3580.00,3581.00,567,0\r\n2006-01-25,18:24:00,3581.00,3581.00,3580.00,3581.00,2849,0\r\n2006-01-25,18:25:00,3581.00,3581.00,3579.00,3579.00,594,0\r\n2006-01-25,18:26:00,3579.00,3579.00,3577.00,3577.00,1730,0\r\n2006-01-25,18:27:00,3577.00,3579.00,3575.00,3576.00,1878,0\r\n2006-01-25,18:28:00,3576.00,3577.00,3575.00,3575.00,2236,0\r\n2006-01-25,18:29:00,3575.00,3577.00,3575.00,3576.00,1580,0\r\n2006-01-25,18:30:00,3576.00,3577.00,3576.00,3577.00,835,0\r\n2006-01-25,18:31:00,3578.00,3583.00,3578.00,3582.00,1415,0\r\n2006-01-25,18:32:00,3582.00,3583.00,3580.00,3581.00,1628,0\r\n2006-01-25,18:33:00,3581.00,3583.00,3581.00,3582.00,823,0\r\n2006-01-25,18:34:00,3582.00,3583.00,3581.00,3583.00,1280,0\r\n2006-01-25,18:35:00,3583.00,3585.00,3583.00,3585.00,406,0\r\n2006-01-25,18:36:00,3584.00,3585.00,3582.00,3583.00,507,0\r\n2006-01-25,18:37:00,3583.00,3584.00,3582.00,3583.00,379,0\r\n2006-01-25,18:38:00,3583.00,3584.00,3582.00,3582.00,959,0\r\n2006-01-25,18:39:00,3582.00,3582.00,3581.00,3582.00,288,0\r\n2006-01-25,18:40:00,3582.00,3584.00,3582.00,3584.00,167,0\r\n2006-01-25,18:41:00,3583.00,3584.00,3583.00,3583.00,444,0\r\n2006-01-25,18:42:00,3583.00,3583.00,3582.00,3582.00,214,0\r\n2006-01-25,18:43:00,3583.00,3583.00,3583.00,3583.00,356,0\r\n2006-01-25,18:44:00,3582.00,3585.00,3582.00,3584.00,301,0\r\n2006-01-25,18:45:00,3584.00,3585.00,3584.00,3584.00,137,0\r\n2006-01-25,18:46:00,3584.00,3588.00,3584.00,3587.00,1255,0\r\n2006-01-25,18:47:00,3587.00,3587.00,3585.00,3587.00,962,0\r\n2006-01-25,18:48:00,3586.00,3586.00,3584.00,3585.00,131,0\r\n2006-01-25,18:49:00,3585.00,3585.00,3585.00,3585.00,163,0\r\n2006-01-25,18:50:00,3585.00,3585.00,3584.00,3584.00,30,0\r\n2006-01-25,18:51:00,3584.00,3585.00,3582.00,3583.00,444,0\r\n2006-01-25,18:52:00,3583.00,3584.00,3583.00,3584.00,140,0\r\n2006-01-25,18:53:00,3583.00,3585.00,3583.00,3584.00,254,0\r\n2006-01-25,18:54:00,3583.00,3585.00,3583.00,3585.00,136,0\r\n2006-01-25,18:55:00,3584.00,3585.00,3584.00,3585.00,176,0\r\n2006-01-25,18:56:00,3585.00,3586.00,3584.00,3584.00,299,0\r\n2006-01-25,18:57:00,3585.00,3585.00,3583.00,3583.00,93,0\r\n2006-01-25,18:58:00,3584.00,3585.00,3583.00,3585.00,215,0\r\n2006-01-25,18:59:00,3585.00,3587.00,3585.00,3587.00,714,0\r\n2006-01-25,19:00:00,3587.00,3588.00,3586.00,3588.00,989,0\r\n2006-01-25,19:01:00,3588.00,3589.00,3588.00,3588.00,277,0\r\n2006-01-25,19:02:00,3588.00,3589.00,3587.00,3587.00,271,0\r\n2006-01-25,19:03:00,3587.00,3588.00,3586.00,3586.00,257,0\r\n2006-01-25,19:04:00,3587.00,3588.00,3587.00,3587.00,382,0\r\n2006-01-25,19:05:00,3587.00,3588.00,3586.00,3587.00,471,0\r\n2006-01-25,19:06:00,3587.00,3587.00,3587.00,3587.00,111,0\r\n2006-01-25,19:07:00,3587.00,3589.00,3587.00,3587.00,536,0\r\n2006-01-25,19:08:00,3588.00,3590.00,3587.00,3590.00,789,0\r\n2006-01-25,19:09:00,3590.00,3591.00,3589.00,3589.00,1944,0\r\n2006-01-25,19:10:00,3589.00,3589.00,3588.00,3588.00,281,0\r\n2006-01-25,19:11:00,3589.00,3589.00,3589.00,3589.00,75,0\r\n2006-01-25,19:12:00,3589.00,3589.00,3587.00,3587.00,678,0\r\n2006-01-25,19:13:00,3587.00,3587.00,3586.00,3586.00,392,0\r\n2006-01-25,19:14:00,3586.00,3587.00,3586.00,3587.00,218,0\r\n2006-01-25,19:15:00,3586.00,3587.00,3586.00,3586.00,12,0\r\n2006-01-25,19:16:00,3587.00,3588.00,3586.00,3587.00,98,0\r\n2006-01-25,19:17:00,3587.00,3588.00,3587.00,3588.00,40,0\r\n2006-01-25,19:18:00,3587.00,3588.00,3586.00,3587.00,1121,0\r\n2006-01-25,19:19:00,3587.00,3588.00,3586.00,3588.00,362,0\r\n2006-01-25,19:20:00,3587.00,3588.00,3587.00,3587.00,204,0\r\n2006-01-25,19:21:00,3587.00,3590.00,3586.00,3589.00,886,0\r\n2006-01-25,19:22:00,3589.00,3590.00,3588.00,3588.00,311,0\r\n2006-01-25,19:23:00,3588.00,3589.00,3586.00,3586.00,558,0\r\n2006-01-25,19:24:00,3586.00,3586.00,3586.00,3586.00,3,0\r\n2006-01-25,19:25:00,3586.00,3587.00,3585.00,3586.00,549,0\r\n2006-01-25,19:26:00,3586.00,3587.00,3585.00,3586.00,245,0\r\n2006-01-25,19:27:00,3586.00,3588.00,3585.00,3587.00,556,0\r\n2006-01-25,19:28:00,3586.00,3587.00,3585.00,3586.00,294,0\r\n2006-01-25,19:29:00,3587.00,3587.00,3586.00,3586.00,218,0\r\n2006-01-25,19:30:00,3587.00,3588.00,3587.00,3587.00,197,0\r\n2006-01-25,19:31:00,3588.00,3588.00,3586.00,3587.00,90,0\r\n2006-01-25,19:32:00,3586.00,3587.00,3586.00,3587.00,68,0\r\n2006-01-25,19:33:00,3587.00,3587.00,3586.00,3586.00,62,0\r\n2006-01-25,19:34:00,3587.00,3587.00,3587.00,3587.00,304,0\r\n2006-01-25,19:35:00,3587.00,3587.00,3586.00,3587.00,114,0\r\n2006-01-25,19:36:00,3586.00,3588.00,3586.00,3587.00,347,0\r\n2006-01-25,19:37:00,3587.00,3588.00,3587.00,3587.00,301,0\r\n2006-01-25,19:38:00,3588.00,3588.00,3587.00,3587.00,33,0\r\n2006-01-25,19:39:00,3587.00,3588.00,3587.00,3587.00,79,0\r\n2006-01-25,19:40:00,3588.00,3588.00,3586.00,3587.00,683,0\r\n2006-01-25,19:41:00,3587.00,3588.00,3586.00,3588.00,255,0\r\n2006-01-25,19:42:00,3588.00,3588.00,3588.00,3588.00,105,0\r\n2006-01-25,19:43:00,3588.00,3589.00,3588.00,3588.00,154,0\r\n2006-01-25,19:44:00,3588.00,3588.00,3588.00,3588.00,114,0\r\n2006-01-25,19:45:00,3588.00,3588.00,3587.00,3587.00,142,0\r\n2006-01-25,19:46:00,3586.00,3587.00,3586.00,3586.00,184,0\r\n2006-01-25,19:47:00,3586.00,3587.00,3585.00,3585.00,347,0\r\n2006-01-25,19:48:00,3585.00,3586.00,3585.00,3585.00,185,0\r\n2006-01-25,19:49:00,3585.00,3586.00,3584.00,3585.00,814,0\r\n2006-01-25,19:50:00,3585.00,3586.00,3583.00,3583.00,654,0\r\n2006-01-25,19:51:00,3583.00,3584.00,3583.00,3584.00,582,0\r\n2006-01-25,19:52:00,3585.00,3585.00,3582.00,3582.00,243,0\r\n2006-01-25,19:53:00,3583.00,3583.00,3582.00,3583.00,855,0\r\n2006-01-25,19:54:00,3582.00,3582.00,3581.00,3581.00,265,0\r\n2006-01-25,19:55:00,3583.00,3583.00,3581.00,3582.00,433,0\r\n2006-01-25,19:56:00,3583.00,3584.00,3582.00,3583.00,303,0\r\n2006-01-25,19:57:00,3582.00,3583.00,3582.00,3582.00,212,0\r\n2006-01-25,19:58:00,3583.00,3583.00,3582.00,3583.00,62,0\r\n2006-01-25,19:59:00,3582.00,3583.00,3581.00,3581.00,145,0\r\n2006-01-25,20:00:00,3582.00,3582.00,3581.00,3582.00,146,0\r\n2006-01-25,20:01:00,3581.00,3582.00,3579.00,3579.00,498,0\r\n2006-01-25,20:02:00,3579.00,3582.00,3579.00,3582.00,251,0\r\n2006-01-25,20:03:00,3582.00,3582.00,3579.00,3580.00,230,0\r\n2006-01-25,20:04:00,3580.00,3582.00,3579.00,3582.00,151,0\r\n2006-01-25,20:05:00,3583.00,3583.00,3581.00,3582.00,57,0\r\n2006-01-25,20:06:00,3581.00,3583.00,3581.00,3582.00,67,0\r\n2006-01-25,20:07:00,3582.00,3583.00,3581.00,3583.00,144,0\r\n2006-01-25,20:08:00,3584.00,3586.00,3583.00,3585.00,172,0\r\n2006-01-25,20:09:00,3586.00,3587.00,3585.00,3585.00,217,0\r\n2006-01-25,20:10:00,3586.00,3587.00,3585.00,3585.00,106,0\r\n2006-01-25,20:11:00,3586.00,3587.00,3586.00,3587.00,170,0\r\n2006-01-25,20:12:00,3587.00,3588.00,3585.00,3585.00,235,0\r\n2006-01-25,20:13:00,3585.00,3586.00,3585.00,3586.00,155,0\r\n2006-01-25,20:14:00,3586.00,3586.00,3585.00,3586.00,433,0\r\n2006-01-25,20:15:00,3585.00,3585.00,3584.00,3585.00,172,0\r\n2006-01-25,20:16:00,3585.00,3585.00,3584.00,3584.00,42,0\r\n2006-01-25,20:17:00,3584.00,3585.00,3584.00,3585.00,92,0\r\n2006-01-25,20:18:00,3585.00,3586.00,3585.00,3586.00,63,0\r\n2006-01-25,20:19:00,3585.00,3585.00,3585.00,3585.00,44,0\r\n2006-01-25,20:20:00,3585.00,3585.00,3584.00,3585.00,53,0\r\n2006-01-25,20:21:00,3585.00,3587.00,3585.00,3587.00,102,0\r\n2006-01-25,20:22:00,3588.00,3588.00,3586.00,3587.00,156,0\r\n2006-01-25,20:23:00,3586.00,3587.00,3586.00,3586.00,176,0\r\n2006-01-25,20:24:00,3587.00,3587.00,3587.00,3587.00,25,0\r\n2006-01-25,20:25:00,3587.00,3587.00,3587.00,3587.00,25,0\r\n2006-01-25,20:26:00,3587.00,3588.00,3586.00,3588.00,142,0\r\n2006-01-25,20:27:00,3587.00,3587.00,3584.00,3584.00,282,0\r\n2006-01-25,20:28:00,3585.00,3585.00,3583.00,3584.00,149,0\r\n2006-01-25,20:29:00,3583.00,3583.00,3581.00,3581.00,322,0\r\n2006-01-25,20:30:00,3582.00,3582.00,3581.00,3582.00,125,0\r\n2006-01-25,20:31:00,3582.00,3582.00,3581.00,3581.00,542,0\r\n2006-01-25,20:32:00,3581.00,3581.00,3580.00,3581.00,63,0\r\n2006-01-25,20:33:00,3580.00,3581.00,3580.00,3580.00,199,0\r\n2006-01-25,20:34:00,3580.00,3582.00,3579.00,3579.00,404,0\r\n2006-01-25,20:35:00,3579.00,3579.00,3578.00,3578.00,222,0\r\n2006-01-25,20:36:00,3578.00,3578.00,3578.00,3578.00,119,0\r\n2006-01-25,20:37:00,3578.00,3578.00,3577.00,3578.00,241,0\r\n2006-01-25,20:38:00,3579.00,3579.00,3578.00,3578.00,141,0\r\n2006-01-25,20:39:00,3579.00,3579.00,3578.00,3579.00,171,0\r\n2006-01-25,20:40:00,3579.00,3580.00,3579.00,3580.00,40,0\r\n2006-01-25,20:41:00,3580.00,3582.00,3580.00,3581.00,665,0\r\n2006-01-25,20:42:00,3581.00,3581.00,3578.00,3578.00,212,0\r\n2006-01-25,20:43:00,3579.00,3579.00,3577.00,3577.00,135,0\r\n2006-01-25,20:44:00,3578.00,3580.00,3578.00,3580.00,201,0\r\n2006-01-25,20:45:00,3580.00,3581.00,3579.00,3579.00,217,0\r\n2006-01-25,20:46:00,3579.00,3579.00,3579.00,3579.00,24,0\r\n2006-01-25,20:47:00,3579.00,3580.00,3579.00,3579.00,32,0\r\n2006-01-25,20:48:00,3580.00,3580.00,3578.00,3579.00,183,0\r\n2006-01-25,20:49:00,3579.00,3579.00,3578.00,3578.00,96,0\r\n2006-01-25,20:50:00,3578.00,3578.00,3577.00,3578.00,509,0\r\n2006-01-25,20:51:00,3579.00,3579.00,3577.00,3579.00,198,0\r\n2006-01-25,20:52:00,3580.00,3581.00,3576.00,3579.00,556,0\r\n2006-01-25,20:53:00,3579.00,3579.00,3578.00,3578.00,89,0\r\n2006-01-25,20:54:00,3577.00,3580.00,3577.00,3580.00,78,0\r\n2006-01-25,20:55:00,3580.00,3580.00,3579.00,3580.00,421,0\r\n2006-01-25,20:56:00,3580.00,3580.00,3579.00,3580.00,262,0\r\n2006-01-25,20:57:00,3581.00,3581.00,3580.00,3580.00,41,0\r\n2006-01-25,20:58:00,3580.00,3582.00,3580.00,3580.00,76,0\r\n2006-01-25,20:59:00,3579.00,3579.00,3578.00,3578.00,183,0\r\n2006-01-25,21:00:00,3577.00,3577.00,3576.00,3576.00,448,0\r\n2006-01-25,21:01:00,3575.00,3576.00,3574.00,3575.00,409,0\r\n2006-01-25,21:02:00,3576.00,3578.00,3576.00,3578.00,116,0\r\n2006-01-25,21:03:00,3577.00,3578.00,3577.00,3577.00,125,0\r\n2006-01-25,21:04:00,3577.00,3577.00,3576.00,3576.00,61,0\r\n2006-01-25,21:05:00,3577.00,3578.00,3576.00,3576.00,655,0\r\n2006-01-25,21:06:00,3576.00,3576.00,3574.00,3575.00,347,0\r\n2006-01-25,21:07:00,3575.00,3578.00,3575.00,3578.00,279,0\r\n2006-01-25,21:08:00,3576.00,3578.00,3576.00,3578.00,360,0\r\n2006-01-25,21:09:00,3578.00,3578.00,3577.00,3577.00,66,0\r\n2006-01-25,21:10:00,3577.00,3579.00,3577.00,3579.00,234,0\r\n2006-01-25,21:11:00,3580.00,3581.00,3579.00,3581.00,221,0\r\n2006-01-25,21:12:00,3580.00,3580.00,3580.00,3580.00,354,0\r\n2006-01-25,21:13:00,3579.00,3580.00,3579.00,3580.00,313,0\r\n2006-01-25,21:14:00,3581.00,3581.00,3580.00,3580.00,119,0\r\n2006-01-25,21:15:00,3581.00,3581.00,3581.00,3581.00,245,0\r\n2006-01-25,21:16:00,3581.00,3581.00,3581.00,3581.00,81,0\r\n2006-01-25,21:17:00,3580.00,3581.00,3580.00,3581.00,36,0\r\n2006-01-25,21:18:00,3581.00,3581.00,3581.00,3581.00,29,0\r\n2006-01-25,21:19:00,3581.00,3581.00,3580.00,3581.00,38,0\r\n2006-01-25,21:20:00,3581.00,3582.00,3580.00,3581.00,93,0\r\n2006-01-25,21:21:00,3581.00,3581.00,3581.00,3581.00,42,0\r\n2006-01-25,21:22:00,3581.00,3582.00,3580.00,3582.00,110,0\r\n2006-01-25,21:23:00,3582.00,3582.00,3582.00,3582.00,35,0\r\n2006-01-25,21:24:00,3582.00,3584.00,3582.00,3583.00,54,0\r\n2006-01-25,21:25:00,3583.00,3585.00,3583.00,3585.00,230,0\r\n2006-01-25,21:26:00,3585.00,3586.00,3585.00,3585.00,147,0\r\n2006-01-25,21:27:00,3585.00,3587.00,3585.00,3586.00,141,0\r\n2006-01-25,21:28:00,3586.00,3587.00,3586.00,3587.00,158,0\r\n2006-01-25,21:29:00,3587.00,3587.00,3584.00,3585.00,269,0\r\n2006-01-25,21:30:00,3585.00,3586.00,3585.00,3586.00,28,0\r\n2006-01-25,21:31:00,3586.00,3586.00,3585.00,3585.00,53,0\r\n2006-01-25,21:32:00,3585.00,3586.00,3585.00,3585.00,48,0\r\n2006-01-25,21:33:00,3585.00,3587.00,3585.00,3586.00,87,0\r\n2006-01-25,21:34:00,3586.00,3587.00,3586.00,3587.00,26,0\r\n2006-01-25,21:35:00,3586.00,3587.00,3586.00,3586.00,30,0\r\n2006-01-25,21:36:00,3587.00,3587.00,3587.00,3587.00,82,0\r\n2006-01-25,21:37:00,3586.00,3586.00,3585.00,3585.00,92,0\r\n2006-01-25,21:38:00,3586.00,3586.00,3584.00,3584.00,199,0\r\n2006-01-25,21:39:00,3585.00,3586.00,3585.00,3586.00,31,0\r\n2006-01-25,21:40:00,3585.00,3586.00,3585.00,3586.00,53,0\r\n2006-01-25,21:41:00,3586.00,3587.00,3586.00,3587.00,115,0\r\n2006-01-25,21:42:00,3587.00,3587.00,3587.00,3587.00,13,0\r\n2006-01-25,21:43:00,3587.00,3588.00,3587.00,3587.00,73,0\r\n2006-01-25,21:44:00,3587.00,3588.00,3587.00,3588.00,40,0\r\n2006-01-25,21:45:00,3588.00,3588.00,3588.00,3588.00,43,0\r\n2006-01-25,21:46:00,3588.00,3588.00,3588.00,3588.00,66,0\r\n2006-01-25,21:47:00,3588.00,3589.00,3587.00,3588.00,54,0\r\n2006-01-25,21:48:00,3589.00,3589.00,3588.00,3588.00,68,0\r\n2006-01-25,21:49:00,3589.00,3589.00,3589.00,3589.00,49,0\r\n2006-01-25,21:50:00,3588.00,3588.00,3587.00,3588.00,132,0\r\n2006-01-25,21:51:00,3589.00,3589.00,3589.00,3589.00,60,0\r\n2006-01-25,21:52:00,3590.00,3591.00,3590.00,3591.00,406,0\r\n2006-01-25,21:53:00,3590.00,3591.00,3590.00,3591.00,75,0\r\n2006-01-25,21:54:00,3590.00,3591.00,3590.00,3590.00,33,0\r\n2006-01-25,21:55:00,3590.00,3591.00,3589.00,3589.00,122,0\r\n2006-01-25,21:56:00,3589.00,3590.00,3589.00,3589.00,71,0\r\n2006-01-25,21:57:00,3590.00,3591.00,3589.00,3590.00,62,0\r\n2006-01-25,21:58:00,3591.00,3592.00,3590.00,3592.00,196,0\r\n2006-01-25,21:59:00,3592.00,3592.00,3590.00,3592.00,300,0\r\n2006-01-25,22:00:00,3591.00,3592.00,3591.00,3592.00,370,0\r\n2006-01-26,09:01:00,3596.00,3597.00,3594.00,3595.00,9728,0\r\n2006-01-26,09:02:00,3596.00,3598.00,3596.00,3598.00,2128,0\r\n2006-01-26,09:03:00,3597.00,3599.00,3595.00,3595.00,4075,0\r\n2006-01-26,09:04:00,3596.00,3596.00,3592.00,3593.00,2211,0\r\n2006-01-26,09:05:00,3594.00,3595.00,3593.00,3594.00,1050,0\r\n2006-01-26,09:06:00,3594.00,3595.00,3592.00,3593.00,2895,0\r\n2006-01-26,09:07:00,3593.00,3598.00,3593.00,3596.00,4814,0\r\n2006-01-26,09:08:00,3597.00,3598.00,3595.00,3597.00,4994,0\r\n2006-01-26,09:09:00,3597.00,3602.00,3597.00,3602.00,4742,0\r\n2006-01-26,09:10:00,3602.00,3608.00,3601.00,3607.00,9772,0\r\n2006-01-26,09:11:00,3606.00,3610.00,3606.00,3610.00,6869,0\r\n2006-01-26,09:12:00,3610.00,3613.00,3609.00,3612.00,9535,0\r\n2006-01-26,09:13:00,3612.00,3618.00,3612.00,3617.00,10179,0\r\n2006-01-26,09:14:00,3617.00,3618.00,3614.00,3614.00,4964,0\r\n2006-01-26,09:15:00,3614.00,3615.00,3611.00,3613.00,5352,0\r\n2006-01-26,09:16:00,3613.00,3615.00,3612.00,3612.00,2027,0\r\n2006-01-26,09:17:00,3613.00,3613.00,3611.00,3612.00,2434,0\r\n2006-01-26,09:18:00,3612.00,3613.00,3612.00,3613.00,2288,0\r\n2006-01-26,09:19:00,3613.00,3614.00,3612.00,3614.00,2320,0\r\n2006-01-26,09:20:00,3614.00,3615.00,3612.00,3612.00,736,0\r\n2006-01-26,09:21:00,3613.00,3613.00,3611.00,3613.00,3200,0\r\n2006-01-26,09:22:00,3612.00,3614.00,3611.00,3614.00,2083,0\r\n2006-01-26,09:23:00,3614.00,3615.00,3614.00,3615.00,3222,0\r\n2006-01-26,09:24:00,3615.00,3616.00,3612.00,3616.00,4273,0\r\n2006-01-26,09:25:00,3615.00,3617.00,3615.00,3615.00,1284,0\r\n2006-01-26,09:26:00,3615.00,3618.00,3615.00,3618.00,3843,0\r\n2006-01-26,09:27:00,3619.00,3619.00,3616.00,3616.00,3605,0\r\n2006-01-26,09:28:00,3616.00,3618.00,3615.00,3616.00,1191,0\r\n2006-01-26,09:29:00,3615.00,3616.00,3615.00,3616.00,1274,0\r\n2006-01-26,09:30:00,3616.00,3617.00,3614.00,3615.00,2058,0\r\n2006-01-26,09:31:00,3614.00,3616.00,3614.00,3614.00,1151,0\r\n2006-01-26,09:32:00,3614.00,3616.00,3614.00,3616.00,1227,0\r\n2006-01-26,09:33:00,3616.00,3618.00,3616.00,3617.00,1529,0\r\n2006-01-26,09:34:00,3618.00,3618.00,3617.00,3618.00,973,0\r\n2006-01-26,09:35:00,3617.00,3618.00,3616.00,3617.00,690,0\r\n2006-01-26,09:36:00,3617.00,3620.00,3616.00,3619.00,3747,0\r\n2006-01-26,09:37:00,3619.00,3620.00,3618.00,3618.00,4991,0\r\n2006-01-26,09:38:00,3619.00,3620.00,3618.00,3619.00,1637,0\r\n2006-01-26,09:39:00,3619.00,3619.00,3618.00,3618.00,768,0\r\n2006-01-26,09:40:00,3618.00,3619.00,3617.00,3618.00,1467,0\r\n2006-01-26,09:41:00,3617.00,3618.00,3616.00,3617.00,1975,0\r\n2006-01-26,09:42:00,3617.00,3618.00,3616.00,3616.00,783,0\r\n2006-01-26,09:43:00,3616.00,3616.00,3614.00,3615.00,2308,0\r\n2006-01-26,09:44:00,3615.00,3616.00,3614.00,3616.00,1751,0\r\n2006-01-26,09:45:00,3615.00,3616.00,3615.00,3616.00,851,0\r\n2006-01-26,09:46:00,3616.00,3616.00,3614.00,3614.00,702,0\r\n2006-01-26,09:47:00,3614.00,3615.00,3614.00,3614.00,237,0\r\n2006-01-26,09:48:00,3615.00,3615.00,3613.00,3614.00,707,0\r\n2006-01-26,09:49:00,3613.00,3614.00,3613.00,3614.00,92,0\r\n2006-01-26,09:50:00,3614.00,3614.00,3613.00,3614.00,557,0\r\n2006-01-26,09:51:00,3613.00,3614.00,3613.00,3613.00,765,0\r\n2006-01-26,09:52:00,3614.00,3614.00,3613.00,3614.00,445,0\r\n2006-01-26,09:53:00,3614.00,3614.00,3613.00,3614.00,249,0\r\n2006-01-26,09:54:00,3613.00,3615.00,3613.00,3614.00,1617,0\r\n2006-01-26,09:55:00,3614.00,3614.00,3613.00,3613.00,1562,0\r\n2006-01-26,09:56:00,3613.00,3614.00,3612.00,3613.00,981,0\r\n2006-01-26,09:57:00,3613.00,3613.00,3612.00,3613.00,790,0\r\n2006-01-26,09:58:00,3613.00,3615.00,3613.00,3614.00,971,0\r\n2006-01-26,09:59:00,3614.00,3616.00,3614.00,3616.00,548,0\r\n2006-01-26,10:00:00,3615.00,3616.00,3614.00,3614.00,1478,0\r\n2006-01-26,10:01:00,3615.00,3618.00,3614.00,3617.00,3154,0\r\n2006-01-26,10:02:00,3617.00,3618.00,3616.00,3618.00,3377,0\r\n2006-01-26,10:03:00,3617.00,3619.00,3617.00,3619.00,1763,0\r\n2006-01-26,10:04:00,3620.00,3620.00,3618.00,3620.00,1861,0\r\n2006-01-26,10:05:00,3620.00,3621.00,3619.00,3621.00,2159,0\r\n2006-01-26,10:06:00,3621.00,3621.00,3619.00,3621.00,1069,0\r\n2006-01-26,10:07:00,3621.00,3623.00,3620.00,3621.00,4632,0\r\n2006-01-26,10:08:00,3621.00,3627.00,3621.00,3627.00,7995,0\r\n2006-01-26,10:09:00,3627.00,3631.00,3626.00,3630.00,14268,0\r\n2006-01-26,10:10:00,3630.00,3631.00,3628.00,3628.00,7197,0\r\n2006-01-26,10:11:00,3629.00,3630.00,3627.00,3627.00,3573,0\r\n2006-01-26,10:12:00,3627.00,3628.00,3626.00,3627.00,1811,0\r\n2006-01-26,10:13:00,3627.00,3628.00,3626.00,3628.00,1074,0\r\n2006-01-26,10:14:00,3627.00,3628.00,3626.00,3626.00,1844,0\r\n2006-01-26,10:15:00,3627.00,3627.00,3626.00,3626.00,588,0\r\n2006-01-26,10:16:00,3626.00,3628.00,3626.00,3627.00,1507,0\r\n2006-01-26,10:17:00,3627.00,3628.00,3627.00,3627.00,1322,0\r\n2006-01-26,10:18:00,3628.00,3629.00,3628.00,3628.00,1605,0\r\n2006-01-26,10:19:00,3628.00,3629.00,3627.00,3627.00,1956,0\r\n2006-01-26,10:20:00,3627.00,3628.00,3626.00,3628.00,1013,0\r\n2006-01-26,10:21:00,3628.00,3629.00,3627.00,3628.00,1091,0\r\n2006-01-26,10:22:00,3628.00,3629.00,3627.00,3628.00,3815,0\r\n2006-01-26,10:23:00,3629.00,3632.00,3628.00,3632.00,2913,0\r\n2006-01-26,10:24:00,3631.00,3632.00,3630.00,3631.00,2408,0\r\n2006-01-26,10:25:00,3631.00,3634.00,3631.00,3634.00,4794,0\r\n2006-01-26,10:26:00,3634.00,3635.00,3633.00,3633.00,2161,0\r\n2006-01-26,10:27:00,3633.00,3635.00,3633.00,3635.00,2609,0\r\n2006-01-26,10:28:00,3635.00,3638.00,3635.00,3636.00,6266,0\r\n2006-01-26,10:29:00,3636.00,3641.00,3635.00,3640.00,10067,0\r\n2006-01-26,10:30:00,3640.00,3644.00,3639.00,3640.00,9815,0\r\n2006-01-26,10:31:00,3640.00,3640.00,3636.00,3636.00,4766,0\r\n2006-01-26,10:32:00,3637.00,3638.00,3635.00,3637.00,3397,0\r\n2006-01-26,10:33:00,3636.00,3637.00,3635.00,3636.00,1358,0\r\n2006-01-26,10:34:00,3635.00,3637.00,3635.00,3637.00,1415,0\r\n2006-01-26,10:35:00,3636.00,3638.00,3635.00,3636.00,2687,0\r\n2006-01-26,10:36:00,3636.00,3637.00,3635.00,3636.00,1237,0\r\n2006-01-26,10:37:00,3636.00,3636.00,3634.00,3634.00,2393,0\r\n2006-01-26,10:38:00,3634.00,3635.00,3633.00,3633.00,1241,0\r\n2006-01-26,10:39:00,3634.00,3635.00,3634.00,3634.00,2311,0\r\n2006-01-26,10:40:00,3635.00,3635.00,3634.00,3634.00,273,0\r\n2006-01-26,10:41:00,3634.00,3634.00,3633.00,3634.00,647,0\r\n2006-01-26,10:42:00,3634.00,3634.00,3633.00,3633.00,693,0\r\n2006-01-26,10:43:00,3633.00,3634.00,3632.00,3633.00,1192,0\r\n2006-01-26,10:44:00,3633.00,3636.00,3633.00,3634.00,2897,0\r\n2006-01-26,10:45:00,3635.00,3636.00,3635.00,3636.00,1561,0\r\n2006-01-26,10:46:00,3636.00,3641.00,3635.00,3641.00,4348,0\r\n2006-01-26,10:47:00,3641.00,3646.00,3641.00,3645.00,8315,0\r\n2006-01-26,10:48:00,3645.00,3646.00,3644.00,3645.00,5120,0\r\n2006-01-26,10:49:00,3645.00,3645.00,3641.00,3642.00,2994,0\r\n2006-01-26,10:50:00,3642.00,3642.00,3640.00,3640.00,1644,0\r\n2006-01-26,10:51:00,3640.00,3641.00,3638.00,3639.00,3131,0\r\n2006-01-26,10:52:00,3638.00,3639.00,3638.00,3639.00,1211,0\r\n2006-01-26,10:53:00,3638.00,3639.00,3638.00,3639.00,773,0\r\n2006-01-26,10:54:00,3639.00,3639.00,3638.00,3638.00,424,0\r\n2006-01-26,10:55:00,3638.00,3639.00,3638.00,3638.00,578,0\r\n2006-01-26,10:56:00,3638.00,3638.00,3637.00,3638.00,1355,0\r\n2006-01-26,10:57:00,3638.00,3638.00,3636.00,3637.00,1621,0\r\n2006-01-26,10:58:00,3637.00,3637.00,3635.00,3635.00,2957,0\r\n2006-01-26,10:59:00,3634.00,3635.00,3633.00,3634.00,1857,0\r\n2006-01-26,11:00:00,3634.00,3634.00,3632.00,3633.00,1648,0\r\n2006-01-26,11:01:00,3633.00,3635.00,3633.00,3635.00,1471,0\r\n2006-01-26,11:02:00,3636.00,3639.00,3634.00,3637.00,2353,0\r\n2006-01-26,11:03:00,3636.00,3642.00,3636.00,3639.00,6706,0\r\n2006-01-26,11:04:00,3639.00,3640.00,3638.00,3638.00,2255,0\r\n2006-01-26,11:05:00,3638.00,3640.00,3636.00,3638.00,1887,0\r\n2006-01-26,11:06:00,3638.00,3641.00,3637.00,3638.00,3525,0\r\n2006-01-26,11:07:00,3638.00,3639.00,3629.00,3631.00,12910,0\r\n2006-01-26,11:08:00,3631.00,3631.00,3625.00,3629.00,10884,0\r\n2006-01-26,11:09:00,3629.00,3635.00,3628.00,3635.00,4479,0\r\n2006-01-26,11:10:00,3635.00,3638.00,3633.00,3634.00,7038,0\r\n2006-01-26,11:11:00,3634.00,3635.00,3631.00,3632.00,3290,0\r\n2006-01-26,11:12:00,3632.00,3633.00,3630.00,3632.00,2647,0\r\n2006-01-26,11:13:00,3632.00,3635.00,3631.00,3634.00,5074,0\r\n2006-01-26,11:14:00,3634.00,3635.00,3631.00,3633.00,2022,0\r\n2006-01-26,11:15:00,3633.00,3633.00,3628.00,3629.00,5383,0\r\n2006-01-26,11:16:00,3629.00,3631.00,3627.00,3630.00,4279,0\r\n2006-01-26,11:17:00,3631.00,3632.00,3629.00,3630.00,1695,0\r\n2006-01-26,11:18:00,3629.00,3633.00,3629.00,3633.00,1782,0\r\n2006-01-26,11:19:00,3633.00,3634.00,3631.00,3632.00,1181,0\r\n2006-01-26,11:20:00,3632.00,3633.00,3631.00,3633.00,847,0\r\n2006-01-26,11:21:00,3632.00,3634.00,3632.00,3633.00,718,0\r\n2006-01-26,11:22:00,3634.00,3634.00,3633.00,3633.00,787,0\r\n2006-01-26,11:23:00,3633.00,3634.00,3632.00,3633.00,2031,0\r\n2006-01-26,11:24:00,3632.00,3633.00,3631.00,3633.00,1074,0\r\n2006-01-26,11:25:00,3632.00,3632.00,3632.00,3632.00,471,0\r\n2006-01-26,11:26:00,3631.00,3631.00,3630.00,3631.00,1032,0\r\n2006-01-26,11:27:00,3631.00,3633.00,3631.00,3632.00,423,0\r\n2006-01-26,11:28:00,3632.00,3632.00,3632.00,3632.00,91,0\r\n2006-01-26,11:29:00,3632.00,3634.00,3632.00,3632.00,389,0\r\n2006-01-26,11:30:00,3633.00,3633.00,3632.00,3632.00,510,0\r\n2006-01-26,11:31:00,3632.00,3633.00,3631.00,3631.00,1400,0\r\n2006-01-26,11:32:00,3631.00,3631.00,3629.00,3630.00,1308,0\r\n2006-01-26,11:33:00,3630.00,3630.00,3628.00,3628.00,1416,0\r\n2006-01-26,11:34:00,3628.00,3629.00,3627.00,3628.00,816,0\r\n2006-01-26,11:35:00,3629.00,3629.00,3627.00,3627.00,671,0\r\n2006-01-26,11:36:00,3627.00,3629.00,3627.00,3628.00,623,0\r\n2006-01-26,11:37:00,3628.00,3629.00,3628.00,3628.00,465,0\r\n2006-01-26,11:38:00,3628.00,3629.00,3628.00,3629.00,393,0\r\n2006-01-26,11:39:00,3629.00,3630.00,3629.00,3629.00,261,0\r\n2006-01-26,11:40:00,3629.00,3630.00,3629.00,3630.00,573,0\r\n2006-01-26,11:41:00,3630.00,3632.00,3630.00,3632.00,1135,0\r\n2006-01-26,11:42:00,3631.00,3634.00,3631.00,3633.00,1503,0\r\n2006-01-26,11:43:00,3633.00,3636.00,3633.00,3636.00,2428,0\r\n2006-01-26,11:44:00,3636.00,3639.00,3635.00,3639.00,2575,0\r\n2006-01-26,11:45:00,3638.00,3639.00,3637.00,3637.00,1154,0\r\n2006-01-26,11:46:00,3637.00,3638.00,3637.00,3637.00,722,0\r\n2006-01-26,11:47:00,3637.00,3639.00,3637.00,3638.00,4694,0\r\n2006-01-26,11:48:00,3638.00,3639.00,3636.00,3636.00,523,0\r\n2006-01-26,11:49:00,3637.00,3637.00,3636.00,3637.00,417,0\r\n2006-01-26,11:50:00,3637.00,3638.00,3637.00,3638.00,753,0\r\n2006-01-26,11:51:00,3637.00,3638.00,3637.00,3638.00,341,0\r\n2006-01-26,11:52:00,3638.00,3640.00,3638.00,3639.00,814,0\r\n2006-01-26,11:53:00,3639.00,3641.00,3639.00,3641.00,3305,0\r\n2006-01-26,11:54:00,3641.00,3644.00,3640.00,3644.00,5172,0\r\n2006-01-26,11:55:00,3644.00,3644.00,3641.00,3641.00,3748,0\r\n2006-01-26,11:56:00,3642.00,3642.00,3639.00,3639.00,1865,0\r\n2006-01-26,11:57:00,3639.00,3640.00,3637.00,3638.00,1635,0\r\n2006-01-26,11:58:00,3638.00,3638.00,3637.00,3638.00,948,0\r\n2006-01-26,11:59:00,3638.00,3638.00,3637.00,3638.00,519,0\r\n2006-01-26,12:00:00,3638.00,3639.00,3638.00,3639.00,958,0\r\n2006-01-26,12:01:00,3639.00,3639.00,3636.00,3636.00,486,0\r\n2006-01-26,12:02:00,3636.00,3637.00,3634.00,3634.00,2101,0\r\n2006-01-26,12:03:00,3634.00,3634.00,3632.00,3633.00,4332,0\r\n2006-01-26,12:04:00,3634.00,3635.00,3633.00,3633.00,1560,0\r\n2006-01-26,12:05:00,3633.00,3633.00,3631.00,3631.00,1925,0\r\n2006-01-26,12:06:00,3632.00,3633.00,3631.00,3632.00,954,0\r\n2006-01-26,12:07:00,3631.00,3632.00,3630.00,3631.00,565,0\r\n2006-01-26,12:08:00,3631.00,3632.00,3630.00,3631.00,641,0\r\n2006-01-26,12:09:00,3631.00,3632.00,3630.00,3630.00,748,0\r\n2006-01-26,12:10:00,3630.00,3633.00,3630.00,3632.00,1595,0\r\n2006-01-26,12:11:00,3632.00,3634.00,3632.00,3633.00,429,0\r\n2006-01-26,12:12:00,3634.00,3635.00,3632.00,3632.00,1952,0\r\n2006-01-26,12:13:00,3633.00,3636.00,3631.00,3636.00,1714,0\r\n2006-01-26,12:14:00,3635.00,3635.00,3633.00,3634.00,878,0\r\n2006-01-26,12:15:00,3633.00,3634.00,3633.00,3634.00,554,0\r\n2006-01-26,12:16:00,3633.00,3634.00,3631.00,3632.00,383,0\r\n2006-01-26,12:17:00,3632.00,3633.00,3631.00,3631.00,164,0\r\n2006-01-26,12:18:00,3631.00,3632.00,3631.00,3632.00,1140,0\r\n2006-01-26,12:19:00,3631.00,3632.00,3631.00,3632.00,52,0\r\n2006-01-26,12:20:00,3632.00,3632.00,3631.00,3631.00,829,0\r\n2006-01-26,12:21:00,3632.00,3632.00,3630.00,3631.00,1361,0\r\n2006-01-26,12:22:00,3631.00,3631.00,3629.00,3630.00,1269,0\r\n2006-01-26,12:23:00,3629.00,3630.00,3629.00,3629.00,28,0\r\n2006-01-26,12:24:00,3630.00,3630.00,3629.00,3629.00,3538,0\r\n2006-01-26,12:25:00,3629.00,3630.00,3629.00,3630.00,731,0\r\n2006-01-26,12:26:00,3630.00,3630.00,3628.00,3629.00,1577,0\r\n2006-01-26,12:27:00,3629.00,3630.00,3628.00,3629.00,1072,0\r\n2006-01-26,12:28:00,3630.00,3631.00,3628.00,3629.00,2033,0\r\n2006-01-26,12:29:00,3629.00,3631.00,3628.00,3630.00,465,0\r\n2006-01-26,12:30:00,3630.00,3631.00,3630.00,3631.00,141,0\r\n2006-01-26,12:31:00,3631.00,3633.00,3631.00,3632.00,1107,0\r\n2006-01-26,12:32:00,3632.00,3632.00,3630.00,3630.00,716,0\r\n2006-01-26,12:33:00,3631.00,3631.00,3629.00,3631.00,758,0\r\n2006-01-26,12:34:00,3631.00,3632.00,3630.00,3631.00,543,0\r\n2006-01-26,12:35:00,3632.00,3632.00,3631.00,3631.00,40,0\r\n2006-01-26,12:36:00,3632.00,3632.00,3631.00,3632.00,434,0\r\n2006-01-26,12:37:00,3631.00,3632.00,3631.00,3631.00,34,0\r\n2006-01-26,12:38:00,3632.00,3632.00,3630.00,3630.00,580,0\r\n2006-01-26,12:39:00,3631.00,3631.00,3630.00,3630.00,529,0\r\n2006-01-26,12:40:00,3630.00,3630.00,3629.00,3630.00,165,0\r\n2006-01-26,12:41:00,3630.00,3630.00,3629.00,3630.00,354,0\r\n2006-01-26,12:42:00,3629.00,3632.00,3629.00,3632.00,902,0\r\n2006-01-26,12:43:00,3631.00,3632.00,3631.00,3632.00,163,0\r\n2006-01-26,12:44:00,3631.00,3632.00,3631.00,3631.00,92,0\r\n2006-01-26,12:45:00,3632.00,3633.00,3631.00,3633.00,332,0\r\n2006-01-26,12:46:00,3632.00,3633.00,3632.00,3633.00,49,0\r\n2006-01-26,12:47:00,3632.00,3633.00,3632.00,3633.00,966,0\r\n2006-01-26,12:48:00,3633.00,3634.00,3633.00,3634.00,416,0\r\n2006-01-26,12:49:00,3633.00,3634.00,3632.00,3633.00,430,0\r\n2006-01-26,12:50:00,3633.00,3634.00,3632.00,3634.00,187,0\r\n2006-01-26,12:51:00,3634.00,3635.00,3633.00,3634.00,494,0\r\n2006-01-26,12:52:00,3634.00,3636.00,3633.00,3636.00,895,0\r\n2006-01-26,12:53:00,3636.00,3636.00,3635.00,3635.00,149,0\r\n2006-01-26,12:54:00,3635.00,3635.00,3633.00,3634.00,96,0\r\n2006-01-26,12:55:00,3634.00,3634.00,3633.00,3634.00,5,0\r\n2006-01-26,12:56:00,3633.00,3634.00,3633.00,3634.00,100,0\r\n2006-01-26,12:57:00,3634.00,3634.00,3633.00,3633.00,43,0\r\n2006-01-26,12:58:00,3633.00,3633.00,3631.00,3632.00,945,0\r\n2006-01-26,12:59:00,3633.00,3633.00,3632.00,3633.00,216,0\r\n2006-01-26,13:00:00,3632.00,3633.00,3632.00,3633.00,51,0\r\n2006-01-26,13:01:00,3633.00,3634.00,3631.00,3633.00,1093,0\r\n2006-01-26,13:02:00,3633.00,3634.00,3632.00,3633.00,912,0\r\n2006-01-26,13:03:00,3633.00,3633.00,3631.00,3631.00,313,0\r\n2006-01-26,13:04:00,3632.00,3632.00,3630.00,3631.00,696,0\r\n2006-01-26,13:05:00,3631.00,3631.00,3630.00,3631.00,215,0\r\n2006-01-26,13:06:00,3631.00,3631.00,3630.00,3630.00,297,0\r\n2006-01-26,13:07:00,3631.00,3631.00,3630.00,3631.00,293,0\r\n2006-01-26,13:08:00,3630.00,3631.00,3630.00,3630.00,92,0\r\n2006-01-26,13:09:00,3630.00,3631.00,3629.00,3630.00,672,0\r\n2006-01-26,13:10:00,3630.00,3631.00,3629.00,3630.00,742,0\r\n2006-01-26,13:11:00,3630.00,3631.00,3629.00,3631.00,148,0\r\n2006-01-26,13:12:00,3630.00,3632.00,3630.00,3632.00,376,0\r\n2006-01-26,13:13:00,3632.00,3633.00,3632.00,3633.00,554,0\r\n2006-01-26,13:14:00,3632.00,3633.00,3632.00,3633.00,6,0\r\n2006-01-26,13:15:00,3632.00,3633.00,3632.00,3632.00,969,0\r\n2006-01-26,13:16:00,3632.00,3633.00,3631.00,3632.00,169,0\r\n2006-01-26,13:17:00,3631.00,3632.00,3631.00,3631.00,87,0\r\n2006-01-26,13:18:00,3631.00,3632.00,3630.00,3631.00,665,0\r\n2006-01-26,13:19:00,3630.00,3632.00,3630.00,3632.00,172,0\r\n2006-01-26,13:20:00,3631.00,3632.00,3631.00,3632.00,80,0\r\n2006-01-26,13:21:00,3631.00,3632.00,3630.00,3630.00,102,0\r\n2006-01-26,13:22:00,3631.00,3632.00,3631.00,3632.00,38,0\r\n2006-01-26,13:23:00,3631.00,3632.00,3631.00,3632.00,72,0\r\n2006-01-26,13:24:00,3631.00,3631.00,3631.00,3631.00,47,0\r\n2006-01-26,13:25:00,3632.00,3632.00,3631.00,3632.00,24,0\r\n2006-01-26,13:26:00,3631.00,3632.00,3631.00,3631.00,535,0\r\n2006-01-26,13:27:00,3632.00,3633.00,3632.00,3633.00,1823,0\r\n2006-01-26,13:28:00,3633.00,3633.00,3632.00,3633.00,84,0\r\n2006-01-26,13:29:00,3633.00,3633.00,3633.00,3633.00,412,0\r\n2006-01-26,13:30:00,3633.00,3633.00,3632.00,3632.00,365,0\r\n2006-01-26,13:31:00,3633.00,3634.00,3633.00,3633.00,282,0\r\n2006-01-26,13:32:00,3632.00,3634.00,3632.00,3634.00,463,0\r\n2006-01-26,13:33:00,3633.00,3635.00,3633.00,3634.00,597,0\r\n2006-01-26,13:34:00,3634.00,3636.00,3634.00,3636.00,911,0\r\n2006-01-26,13:35:00,3635.00,3636.00,3635.00,3636.00,306,0\r\n2006-01-26,13:36:00,3636.00,3636.00,3635.00,3636.00,54,0\r\n2006-01-26,13:37:00,3635.00,3636.00,3634.00,3634.00,610,0\r\n2006-01-26,13:38:00,3635.00,3635.00,3634.00,3635.00,425,0\r\n2006-01-26,13:39:00,3635.00,3635.00,3635.00,3635.00,43,0\r\n2006-01-26,13:40:00,3634.00,3636.00,3634.00,3636.00,666,0\r\n2006-01-26,13:41:00,3635.00,3636.00,3635.00,3636.00,72,0\r\n2006-01-26,13:42:00,3635.00,3636.00,3635.00,3636.00,211,0\r\n2006-01-26,13:43:00,3635.00,3637.00,3635.00,3635.00,908,0\r\n2006-01-26,13:44:00,3636.00,3636.00,3635.00,3636.00,110,0\r\n2006-01-26,13:45:00,3635.00,3636.00,3635.00,3636.00,40,0\r\n2006-01-26,13:46:00,3635.00,3636.00,3635.00,3636.00,166,0\r\n2006-01-26,13:47:00,3635.00,3637.00,3635.00,3637.00,402,0\r\n2006-01-26,13:48:00,3637.00,3638.00,3637.00,3638.00,1557,0\r\n2006-01-26,13:49:00,3638.00,3638.00,3636.00,3636.00,661,0\r\n2006-01-26,13:50:00,3637.00,3637.00,3636.00,3636.00,153,0\r\n2006-01-26,13:51:00,3637.00,3637.00,3635.00,3635.00,364,0\r\n2006-01-26,13:52:00,3635.00,3635.00,3634.00,3634.00,970,0\r\n2006-01-26,13:53:00,3634.00,3634.00,3634.00,3634.00,2,0\r\n2006-01-26,13:54:00,3634.00,3635.00,3634.00,3635.00,25,0\r\n2006-01-26,13:55:00,3634.00,3635.00,3634.00,3635.00,2,0\r\n2006-01-26,13:56:00,3635.00,3635.00,3634.00,3634.00,13,0\r\n2006-01-26,13:57:00,3634.00,3635.00,3634.00,3634.00,1113,0\r\n2006-01-26,13:58:00,3634.00,3634.00,3634.00,3634.00,918,0\r\n2006-01-26,13:59:00,3633.00,3635.00,3633.00,3635.00,300,0\r\n2006-01-26,14:00:00,3634.00,3635.00,3634.00,3635.00,18,0\r\n2006-01-26,14:01:00,3634.00,3636.00,3632.00,3633.00,2968,0\r\n2006-01-26,14:02:00,3633.00,3633.00,3631.00,3632.00,749,0\r\n2006-01-26,14:03:00,3632.00,3634.00,3632.00,3632.00,1252,0\r\n2006-01-26,14:04:00,3632.00,3633.00,3631.00,3633.00,376,0\r\n2006-01-26,14:05:00,3632.00,3633.00,3631.00,3632.00,421,0\r\n2006-01-26,14:06:00,3632.00,3633.00,3631.00,3633.00,675,0\r\n2006-01-26,14:08:00,3632.00,3633.00,3631.00,3633.00,725,0\r\n2006-01-26,14:09:00,3632.00,3634.00,3632.00,3634.00,710,0\r\n2006-01-26,14:10:00,3633.00,3634.00,3633.00,3633.00,448,0\r\n2006-01-26,14:11:00,3634.00,3635.00,3633.00,3635.00,722,0\r\n2006-01-26,14:12:00,3634.00,3635.00,3634.00,3634.00,126,0\r\n2006-01-26,14:13:00,3635.00,3636.00,3634.00,3636.00,760,0\r\n2006-01-26,14:14:00,3636.00,3636.00,3635.00,3636.00,312,0\r\n2006-01-26,14:15:00,3635.00,3636.00,3635.00,3635.00,31,0\r\n2006-01-26,14:16:00,3634.00,3634.00,3634.00,3634.00,332,0\r\n2006-01-26,14:17:00,3634.00,3634.00,3633.00,3633.00,35,0\r\n2006-01-26,14:18:00,3634.00,3634.00,3633.00,3633.00,92,0\r\n2006-01-26,14:19:00,3634.00,3634.00,3633.00,3634.00,343,0\r\n2006-01-26,14:20:00,3633.00,3635.00,3633.00,3635.00,947,0\r\n2006-01-26,14:21:00,3634.00,3635.00,3634.00,3635.00,705,0\r\n2006-01-26,14:22:00,3635.00,3636.00,3635.00,3636.00,533,0\r\n2006-01-26,14:23:00,3636.00,3637.00,3636.00,3637.00,1823,0\r\n2006-01-26,14:24:00,3636.00,3637.00,3636.00,3636.00,312,0\r\n2006-01-26,14:25:00,3635.00,3636.00,3634.00,3634.00,529,0\r\n2006-01-26,14:26:00,3634.00,3635.00,3633.00,3635.00,557,0\r\n2006-01-26,14:27:00,3634.00,3634.00,3633.00,3634.00,326,0\r\n2006-01-26,14:28:00,3634.00,3634.00,3633.00,3633.00,348,0\r\n2006-01-26,14:29:00,3634.00,3634.00,3633.00,3634.00,137,0\r\n2006-01-26,14:30:00,3633.00,3634.00,3633.00,3633.00,369,0\r\n2006-01-26,14:31:00,3633.00,3637.00,3633.00,3636.00,3391,0\r\n2006-01-26,14:32:00,3636.00,3638.00,3636.00,3637.00,2144,0\r\n2006-01-26,14:33:00,3638.00,3638.00,3635.00,3635.00,1449,0\r\n2006-01-26,14:34:00,3636.00,3636.00,3633.00,3633.00,1690,0\r\n2006-01-26,14:35:00,3633.00,3634.00,3632.00,3633.00,1211,0\r\n2006-01-26,14:36:00,3632.00,3633.00,3631.00,3631.00,884,0\r\n2006-01-26,14:37:00,3631.00,3634.00,3631.00,3633.00,429,0\r\n2006-01-26,14:38:00,3632.00,3633.00,3631.00,3631.00,660,0\r\n2006-01-26,14:39:00,3631.00,3632.00,3629.00,3630.00,1726,0\r\n2006-01-26,14:40:00,3630.00,3632.00,3630.00,3631.00,1080,0\r\n2006-01-26,14:41:00,3632.00,3632.00,3630.00,3631.00,1333,0\r\n2006-01-26,14:42:00,3631.00,3632.00,3630.00,3631.00,1214,0\r\n2006-01-26,14:43:00,3630.00,3632.00,3630.00,3631.00,560,0\r\n2006-01-26,14:44:00,3632.00,3633.00,3632.00,3632.00,250,0\r\n2006-01-26,14:45:00,3633.00,3633.00,3631.00,3633.00,196,0\r\n2006-01-26,14:46:00,3632.00,3633.00,3631.00,3631.00,180,0\r\n2006-01-26,14:47:00,3631.00,3632.00,3630.00,3632.00,355,0\r\n2006-01-26,14:48:00,3631.00,3632.00,3631.00,3631.00,39,0\r\n2006-01-26,14:49:00,3631.00,3632.00,3630.00,3631.00,243,0\r\n2006-01-26,14:50:00,3630.00,3631.00,3629.00,3629.00,522,0\r\n2006-01-26,14:51:00,3630.00,3630.00,3628.00,3629.00,1790,0\r\n2006-01-26,14:52:00,3628.00,3629.00,3627.00,3628.00,441,0\r\n2006-01-26,14:53:00,3628.00,3630.00,3628.00,3630.00,461,0\r\n2006-01-26,14:54:00,3630.00,3630.00,3628.00,3628.00,411,0\r\n2006-01-26,14:55:00,3629.00,3629.00,3627.00,3628.00,447,0\r\n2006-01-26,14:56:00,3627.00,3628.00,3627.00,3627.00,722,0\r\n2006-01-26,14:57:00,3628.00,3628.00,3626.00,3627.00,1305,0\r\n2006-01-26,14:58:00,3627.00,3630.00,3627.00,3630.00,1470,0\r\n2006-01-26,14:59:00,3629.00,3630.00,3629.00,3630.00,326,0\r\n2006-01-26,15:00:00,3630.00,3632.00,3630.00,3632.00,491,0\r\n2006-01-26,15:01:00,3631.00,3632.00,3630.00,3631.00,520,0\r\n2006-01-26,15:02:00,3632.00,3633.00,3631.00,3633.00,823,0\r\n2006-01-26,15:03:00,3632.00,3633.00,3631.00,3631.00,191,0\r\n2006-01-26,15:04:00,3631.00,3631.00,3629.00,3629.00,617,0\r\n2006-01-26,15:05:00,3630.00,3630.00,3628.00,3629.00,978,0\r\n2006-01-26,15:06:00,3630.00,3630.00,3628.00,3628.00,2218,0\r\n2006-01-26,15:07:00,3628.00,3631.00,3628.00,3631.00,1376,0\r\n2006-01-26,15:08:00,3630.00,3631.00,3629.00,3629.00,1477,0\r\n2006-01-26,15:09:00,3629.00,3630.00,3629.00,3630.00,1193,0\r\n2006-01-26,15:10:00,3629.00,3630.00,3629.00,3629.00,110,0\r\n2006-01-26,15:11:00,3630.00,3631.00,3629.00,3631.00,637,0\r\n2006-01-26,15:12:00,3631.00,3631.00,3630.00,3631.00,200,0\r\n2006-01-26,15:13:00,3630.00,3631.00,3629.00,3629.00,1066,0\r\n2006-01-26,15:14:00,3630.00,3630.00,3629.00,3629.00,127,0\r\n2006-01-26,15:15:00,3630.00,3631.00,3629.00,3631.00,1074,0\r\n2006-01-26,15:16:00,3630.00,3631.00,3630.00,3630.00,44,0\r\n2006-01-26,15:17:00,3630.00,3631.00,3628.00,3628.00,1912,0\r\n2006-01-26,15:18:00,3628.00,3630.00,3628.00,3630.00,459,0\r\n2006-01-26,15:19:00,3630.00,3630.00,3629.00,3629.00,2969,0\r\n2006-01-26,15:20:00,3630.00,3630.00,3629.00,3629.00,95,0\r\n2006-01-26,15:21:00,3629.00,3630.00,3629.00,3630.00,199,0\r\n2006-01-26,15:22:00,3630.00,3630.00,3629.00,3629.00,301,0\r\n2006-01-26,15:23:00,3630.00,3630.00,3628.00,3628.00,603,0\r\n2006-01-26,15:24:00,3628.00,3629.00,3628.00,3628.00,555,0\r\n2006-01-26,15:25:00,3629.00,3629.00,3628.00,3628.00,373,0\r\n2006-01-26,15:26:00,3628.00,3629.00,3628.00,3629.00,182,0\r\n2006-01-26,15:27:00,3628.00,3629.00,3628.00,3628.00,252,0\r\n2006-01-26,15:28:00,3628.00,3629.00,3628.00,3628.00,373,0\r\n2006-01-26,15:29:00,3629.00,3630.00,3629.00,3630.00,466,0\r\n2006-01-26,15:30:00,3629.00,3630.00,3629.00,3630.00,58,0\r\n2006-01-26,15:31:00,3629.00,3631.00,3629.00,3631.00,1673,0\r\n2006-01-26,15:32:00,3631.00,3632.00,3630.00,3631.00,518,0\r\n2006-01-26,15:33:00,3631.00,3631.00,3630.00,3631.00,257,0\r\n2006-01-26,15:34:00,3631.00,3631.00,3629.00,3630.00,807,0\r\n2006-01-26,15:35:00,3630.00,3631.00,3629.00,3631.00,1017,0\r\n2006-01-26,15:36:00,3631.00,3632.00,3630.00,3631.00,611,0\r\n2006-01-26,15:37:00,3631.00,3633.00,3631.00,3633.00,649,0\r\n2006-01-26,15:38:00,3632.00,3634.00,3632.00,3634.00,1143,0\r\n2006-01-26,15:39:00,3633.00,3634.00,3632.00,3633.00,1545,0\r\n2006-01-26,15:40:00,3633.00,3634.00,3631.00,3632.00,1527,0\r\n2006-01-26,15:41:00,3631.00,3632.00,3630.00,3630.00,762,0\r\n2006-01-26,15:42:00,3630.00,3631.00,3629.00,3630.00,3128,0\r\n2006-01-26,15:43:00,3629.00,3631.00,3628.00,3630.00,1476,0\r\n2006-01-26,15:44:00,3630.00,3632.00,3630.00,3632.00,1146,0\r\n2006-01-26,15:45:00,3631.00,3632.00,3629.00,3630.00,1182,0\r\n2006-01-26,15:46:00,3630.00,3631.00,3628.00,3630.00,1300,0\r\n2006-01-26,15:47:00,3629.00,3630.00,3629.00,3629.00,1508,0\r\n2006-01-26,15:48:00,3629.00,3631.00,3628.00,3629.00,1979,0\r\n2006-01-26,15:49:00,3628.00,3630.00,3628.00,3628.00,496,0\r\n2006-01-26,15:50:00,3628.00,3629.00,3627.00,3627.00,2179,0\r\n2006-01-26,15:51:00,3628.00,3629.00,3626.00,3628.00,2375,0\r\n2006-01-26,15:52:00,3629.00,3629.00,3628.00,3629.00,259,0\r\n2006-01-26,15:53:00,3629.00,3632.00,3628.00,3632.00,2465,0\r\n2006-01-26,15:54:00,3631.00,3634.00,3631.00,3634.00,2779,0\r\n2006-01-26,15:55:00,3635.00,3635.00,3633.00,3634.00,1960,0\r\n2006-01-26,15:56:00,3633.00,3634.00,3632.00,3633.00,1021,0\r\n2006-01-26,15:57:00,3633.00,3634.00,3631.00,3631.00,616,0\r\n2006-01-26,15:58:00,3631.00,3633.00,3631.00,3632.00,892,0\r\n2006-01-26,15:59:00,3632.00,3633.00,3631.00,3631.00,1125,0\r\n2006-01-26,16:00:00,3631.00,3631.00,3628.00,3629.00,1597,0\r\n2006-01-26,16:01:00,3629.00,3630.00,3628.00,3629.00,996,0\r\n2006-01-26,16:02:00,3628.00,3629.00,3628.00,3628.00,1029,0\r\n2006-01-26,16:03:00,3628.00,3629.00,3628.00,3628.00,1161,0\r\n2006-01-26,16:04:00,3628.00,3630.00,3627.00,3629.00,3004,0\r\n2006-01-26,16:05:00,3629.00,3631.00,3629.00,3630.00,1722,0\r\n2006-01-26,16:06:00,3631.00,3631.00,3628.00,3628.00,1145,0\r\n2006-01-26,16:07:00,3629.00,3632.00,3628.00,3632.00,1302,0\r\n2006-01-26,16:08:00,3632.00,3633.00,3631.00,3633.00,1521,0\r\n2006-01-26,16:09:00,3632.00,3637.00,3632.00,3637.00,4418,0\r\n2006-01-26,16:10:00,3637.00,3639.00,3636.00,3638.00,3087,0\r\n2006-01-26,16:11:00,3638.00,3640.00,3636.00,3636.00,4011,0\r\n2006-01-26,16:12:00,3637.00,3638.00,3636.00,3638.00,1005,0\r\n2006-01-26,16:13:00,3637.00,3638.00,3635.00,3635.00,1596,0\r\n2006-01-26,16:14:00,3635.00,3637.00,3635.00,3637.00,1642,0\r\n2006-01-26,16:15:00,3637.00,3637.00,3635.00,3635.00,1795,0\r\n2006-01-26,16:16:00,3636.00,3637.00,3635.00,3635.00,1434,0\r\n2006-01-26,16:17:00,3636.00,3636.00,3633.00,3633.00,2071,0\r\n2006-01-26,16:18:00,3634.00,3634.00,3631.00,3633.00,4128,0\r\n2006-01-26,16:19:00,3632.00,3633.00,3631.00,3633.00,1135,0\r\n2006-01-26,16:20:00,3633.00,3633.00,3631.00,3632.00,1677,0\r\n2006-01-26,16:21:00,3632.00,3634.00,3631.00,3631.00,887,0\r\n2006-01-26,16:22:00,3632.00,3633.00,3628.00,3628.00,4212,0\r\n2006-01-26,16:23:00,3628.00,3631.00,3628.00,3631.00,1924,0\r\n2006-01-26,16:24:00,3632.00,3634.00,3631.00,3632.00,1654,0\r\n2006-01-26,16:25:00,3633.00,3633.00,3632.00,3633.00,2129,0\r\n2006-01-26,16:26:00,3632.00,3634.00,3631.00,3631.00,1179,0\r\n2006-01-26,16:27:00,3632.00,3632.00,3630.00,3632.00,1825,0\r\n2006-01-26,16:28:00,3631.00,3633.00,3631.00,3632.00,1051,0\r\n2006-01-26,16:29:00,3633.00,3633.00,3630.00,3631.00,1132,0\r\n2006-01-26,16:30:00,3631.00,3632.00,3630.00,3631.00,2872,0\r\n2006-01-26,16:31:00,3631.00,3633.00,3630.00,3633.00,3121,0\r\n2006-01-26,16:32:00,3633.00,3634.00,3631.00,3633.00,1785,0\r\n2006-01-26,16:33:00,3633.00,3636.00,3633.00,3635.00,3095,0\r\n2006-01-26,16:34:00,3635.00,3638.00,3634.00,3634.00,2889,0\r\n2006-01-26,16:35:00,3634.00,3635.00,3632.00,3632.00,2421,0\r\n2006-01-26,16:36:00,3632.00,3633.00,3631.00,3632.00,3333,0\r\n2006-01-26,16:37:00,3632.00,3632.00,3629.00,3629.00,2422,0\r\n2006-01-26,16:38:00,3629.00,3630.00,3628.00,3628.00,3612,0\r\n2006-01-26,16:39:00,3628.00,3628.00,3625.00,3627.00,5508,0\r\n2006-01-26,16:40:00,3627.00,3628.00,3625.00,3626.00,2563,0\r\n2006-01-26,16:41:00,3626.00,3629.00,3626.00,3629.00,3209,0\r\n2006-01-26,16:42:00,3628.00,3631.00,3628.00,3629.00,1616,0\r\n2006-01-26,16:43:00,3629.00,3631.00,3629.00,3630.00,5335,0\r\n2006-01-26,16:44:00,3631.00,3632.00,3630.00,3631.00,1565,0\r\n2006-01-26,16:45:00,3631.00,3631.00,3629.00,3629.00,559,0\r\n2006-01-26,16:46:00,3629.00,3630.00,3629.00,3629.00,1379,0\r\n2006-01-26,16:47:00,3630.00,3630.00,3629.00,3629.00,727,0\r\n2006-01-26,16:48:00,3629.00,3631.00,3629.00,3630.00,1188,0\r\n2006-01-26,16:49:00,3631.00,3634.00,3630.00,3633.00,4540,0\r\n2006-01-26,16:50:00,3633.00,3634.00,3633.00,3633.00,2634,0\r\n2006-01-26,16:51:00,3634.00,3636.00,3634.00,3635.00,3158,0\r\n2006-01-26,16:52:00,3635.00,3637.00,3634.00,3636.00,2279,0\r\n2006-01-26,16:53:00,3636.00,3637.00,3635.00,3636.00,1526,0\r\n2006-01-26,16:54:00,3636.00,3638.00,3636.00,3637.00,9382,0\r\n2006-01-26,16:55:00,3637.00,3638.00,3637.00,3637.00,1369,0\r\n2006-01-26,16:56:00,3637.00,3638.00,3637.00,3637.00,1725,0\r\n2006-01-26,16:57:00,3637.00,3637.00,3635.00,3636.00,1479,0\r\n2006-01-26,16:58:00,3636.00,3639.00,3636.00,3639.00,1745,0\r\n2006-01-26,16:59:00,3639.00,3640.00,3638.00,3640.00,1953,0\r\n2006-01-26,17:00:00,3640.00,3645.00,3640.00,3645.00,10018,0\r\n2006-01-26,17:01:00,3644.00,3645.00,3642.00,3643.00,2950,0\r\n2006-01-26,17:02:00,3642.00,3642.00,3638.00,3638.00,5094,0\r\n2006-01-26,17:03:00,3638.00,3641.00,3638.00,3640.00,1905,0\r\n2006-01-26,17:04:00,3640.00,3642.00,3640.00,3640.00,1702,0\r\n2006-01-26,17:05:00,3640.00,3643.00,3640.00,3643.00,1588,0\r\n2006-01-26,17:06:00,3643.00,3644.00,3642.00,3642.00,1394,0\r\n2006-01-26,17:07:00,3642.00,3642.00,3639.00,3639.00,2544,0\r\n2006-01-26,17:08:00,3639.00,3640.00,3639.00,3640.00,1634,0\r\n2006-01-26,17:09:00,3639.00,3640.00,3638.00,3638.00,1930,0\r\n2006-01-26,17:10:00,3639.00,3640.00,3639.00,3639.00,3372,0\r\n2006-01-26,17:11:00,3638.00,3640.00,3638.00,3639.00,670,0\r\n2006-01-26,17:12:00,3639.00,3640.00,3639.00,3639.00,382,0\r\n2006-01-26,17:13:00,3640.00,3640.00,3638.00,3639.00,3101,0\r\n2006-01-26,17:14:00,3639.00,3640.00,3638.00,3640.00,4019,0\r\n2006-01-26,17:15:00,3639.00,3641.00,3639.00,3639.00,1415,0\r\n2006-01-26,17:16:00,3640.00,3642.00,3640.00,3641.00,1194,0\r\n2006-01-26,17:17:00,3641.00,3642.00,3640.00,3640.00,1389,0\r\n2006-01-26,17:18:00,3640.00,3640.00,3639.00,3639.00,1833,0\r\n2006-01-26,17:19:00,3639.00,3640.00,3638.00,3638.00,1831,0\r\n2006-01-26,17:20:00,3638.00,3640.00,3638.00,3640.00,3240,0\r\n2006-01-26,17:21:00,3639.00,3642.00,3639.00,3642.00,3337,0\r\n2006-01-26,17:22:00,3642.00,3643.00,3641.00,3641.00,1804,0\r\n2006-01-26,17:23:00,3641.00,3643.00,3641.00,3642.00,1063,0\r\n2006-01-26,17:24:00,3642.00,3643.00,3641.00,3643.00,1520,0\r\n2006-01-26,17:25:00,3642.00,3643.00,3642.00,3642.00,1023,0\r\n2006-01-26,17:26:00,3642.00,3644.00,3642.00,3643.00,1270,0\r\n2006-01-26,17:27:00,3644.00,3644.00,3643.00,3643.00,2186,0\r\n2006-01-26,17:28:00,3643.00,3645.00,3643.00,3643.00,3621,0\r\n2006-01-26,17:29:00,3643.00,3645.00,3643.00,3645.00,4041,0\r\n2006-01-26,17:30:00,3644.00,3646.00,3644.00,3644.00,8789,0\r\n2006-01-26,17:31:00,3644.00,3648.00,3644.00,3646.00,8147,0\r\n2006-01-26,17:32:00,3646.00,3647.00,3644.00,3644.00,3554,0\r\n2006-01-26,17:33:00,3644.00,3647.00,3644.00,3646.00,5717,0\r\n2006-01-26,17:34:00,3646.00,3648.00,3645.00,3648.00,2338,0\r\n2006-01-26,17:35:00,3648.00,3651.00,3647.00,3650.00,7202,0\r\n2006-01-26,17:36:00,3650.00,3652.00,3648.00,3649.00,4244,0\r\n2006-01-26,17:37:00,3649.00,3650.00,3648.00,3649.00,2611,0\r\n2006-01-26,17:38:00,3649.00,3649.00,3647.00,3648.00,2852,0\r\n2006-01-26,17:39:00,3648.00,3649.00,3647.00,3648.00,809,0\r\n2006-01-26,17:40:00,3649.00,3649.00,3647.00,3647.00,2785,0\r\n2006-01-26,17:41:00,3647.00,3648.00,3647.00,3648.00,2035,0\r\n2006-01-26,17:42:00,3648.00,3649.00,3648.00,3649.00,1579,0\r\n2006-01-26,17:43:00,3649.00,3650.00,3648.00,3648.00,2946,0\r\n2006-01-26,17:44:00,3649.00,3650.00,3648.00,3650.00,1045,0\r\n2006-01-26,17:45:00,3651.00,3651.00,3650.00,3651.00,1410,0\r\n2006-01-26,17:46:00,3652.00,3653.00,3651.00,3652.00,2073,0\r\n2006-01-26,17:47:00,3652.00,3656.00,3652.00,3655.00,4134,0\r\n2006-01-26,17:48:00,3655.00,3656.00,3653.00,3654.00,3123,0\r\n2006-01-26,17:49:00,3655.00,3655.00,3653.00,3654.00,700,0\r\n2006-01-26,17:50:00,3654.00,3654.00,3653.00,3653.00,535,0\r\n2006-01-26,17:51:00,3653.00,3655.00,3653.00,3654.00,1010,0\r\n2006-01-26,17:52:00,3654.00,3655.00,3654.00,3654.00,209,0\r\n2006-01-26,17:53:00,3654.00,3655.00,3653.00,3654.00,1066,0\r\n2006-01-26,17:54:00,3653.00,3655.00,3653.00,3655.00,1283,0\r\n2006-01-26,17:55:00,3656.00,3656.00,3655.00,3655.00,950,0\r\n2006-01-26,17:56:00,3655.00,3657.00,3655.00,3656.00,1358,0\r\n2006-01-26,17:57:00,3657.00,3658.00,3657.00,3657.00,1224,0\r\n2006-01-26,17:58:00,3657.00,3657.00,3654.00,3654.00,1401,0\r\n2006-01-26,17:59:00,3654.00,3654.00,3653.00,3654.00,850,0\r\n2006-01-26,18:00:00,3653.00,3655.00,3653.00,3655.00,981,0\r\n2006-01-26,18:01:00,3655.00,3658.00,3655.00,3657.00,1614,0\r\n2006-01-26,18:02:00,3658.00,3659.00,3657.00,3659.00,448,0\r\n2006-01-26,18:03:00,3659.00,3660.00,3658.00,3659.00,1241,0\r\n2006-01-26,18:04:00,3659.00,3660.00,3658.00,3659.00,963,0\r\n2006-01-26,18:05:00,3658.00,3659.00,3658.00,3659.00,1259,0\r\n2006-01-26,18:06:00,3659.00,3659.00,3658.00,3658.00,653,0\r\n2006-01-26,18:07:00,3659.00,3660.00,3659.00,3659.00,1602,0\r\n2006-01-26,18:08:00,3660.00,3660.00,3658.00,3658.00,1246,0\r\n2006-01-26,18:09:00,3658.00,3662.00,3658.00,3661.00,2627,0\r\n2006-01-26,18:10:00,3661.00,3661.00,3658.00,3658.00,1323,0\r\n2006-01-26,18:11:00,3658.00,3658.00,3657.00,3658.00,676,0\r\n2006-01-26,18:12:00,3658.00,3658.00,3657.00,3658.00,203,0\r\n2006-01-26,18:13:00,3658.00,3658.00,3657.00,3657.00,651,0\r\n2006-01-26,18:14:00,3657.00,3658.00,3657.00,3657.00,135,0\r\n2006-01-26,18:15:00,3657.00,3658.00,3657.00,3657.00,554,0\r\n2006-01-26,18:16:00,3658.00,3659.00,3657.00,3658.00,163,0\r\n2006-01-26,18:17:00,3657.00,3658.00,3657.00,3658.00,349,0\r\n2006-01-26,18:18:00,3658.00,3658.00,3657.00,3657.00,106,0\r\n2006-01-26,18:19:00,3658.00,3658.00,3657.00,3657.00,536,0\r\n2006-01-26,18:20:00,3657.00,3657.00,3656.00,3656.00,76,0\r\n2006-01-26,18:21:00,3657.00,3658.00,3656.00,3657.00,460,0\r\n2006-01-26,18:22:00,3657.00,3658.00,3657.00,3658.00,921,0\r\n2006-01-26,18:23:00,3657.00,3658.00,3657.00,3657.00,186,0\r\n2006-01-26,18:24:00,3658.00,3659.00,3658.00,3658.00,220,0\r\n2006-01-26,18:25:00,3658.00,3659.00,3657.00,3657.00,912,0\r\n2006-01-26,18:26:00,3657.00,3659.00,3657.00,3659.00,273,0\r\n2006-01-26,18:27:00,3659.00,3661.00,3659.00,3659.00,1460,0\r\n2006-01-26,18:28:00,3659.00,3661.00,3658.00,3658.00,1022,0\r\n2006-01-26,18:29:00,3658.00,3659.00,3657.00,3658.00,141,0\r\n2006-01-26,18:30:00,3657.00,3658.00,3657.00,3658.00,3,0\r\n2006-01-26,18:31:00,3658.00,3658.00,3657.00,3657.00,208,0\r\n2006-01-26,18:32:00,3657.00,3658.00,3656.00,3657.00,452,0\r\n2006-01-26,18:33:00,3656.00,3656.00,3655.00,3655.00,286,0\r\n2006-01-26,18:34:00,3655.00,3656.00,3655.00,3656.00,415,0\r\n2006-01-26,18:35:00,3656.00,3657.00,3656.00,3656.00,134,0\r\n2006-01-26,18:36:00,3655.00,3656.00,3655.00,3655.00,771,0\r\n2006-01-26,18:37:00,3654.00,3655.00,3654.00,3655.00,361,0\r\n2006-01-26,18:38:00,3655.00,3656.00,3655.00,3656.00,83,0\r\n2006-01-26,18:39:00,3656.00,3656.00,3655.00,3655.00,118,0\r\n2006-01-26,18:40:00,3655.00,3656.00,3655.00,3655.00,150,0\r\n2006-01-26,18:41:00,3655.00,3657.00,3655.00,3656.00,475,0\r\n2006-01-26,18:42:00,3656.00,3656.00,3655.00,3655.00,193,0\r\n2006-01-26,18:43:00,3655.00,3656.00,3655.00,3656.00,27,0\r\n2006-01-26,18:44:00,3655.00,3656.00,3655.00,3655.00,822,0\r\n2006-01-26,18:45:00,3655.00,3656.00,3655.00,3655.00,597,0\r\n2006-01-26,18:46:00,3656.00,3656.00,3656.00,3656.00,175,0\r\n2006-01-26,18:47:00,3656.00,3657.00,3656.00,3657.00,1144,0\r\n2006-01-26,18:48:00,3656.00,3656.00,3656.00,3656.00,107,0\r\n2006-01-26,18:49:00,3656.00,3657.00,3656.00,3656.00,55,0\r\n2006-01-26,18:50:00,3656.00,3656.00,3656.00,3656.00,341,0\r\n2006-01-26,18:51:00,3656.00,3656.00,3655.00,3655.00,620,0\r\n2006-01-26,18:52:00,3654.00,3655.00,3654.00,3654.00,270,0\r\n2006-01-26,18:54:00,3654.00,3655.00,3654.00,3655.00,479,0\r\n2006-01-26,18:55:00,3654.00,3654.00,3653.00,3654.00,557,0\r\n2006-01-26,18:56:00,3654.00,3654.00,3654.00,3654.00,171,0\r\n2006-01-26,18:57:00,3653.00,3654.00,3653.00,3653.00,568,0\r\n2006-01-26,18:58:00,3653.00,3653.00,3652.00,3652.00,111,0\r\n2006-01-26,18:59:00,3654.00,3654.00,3652.00,3652.00,326,0\r\n2006-01-26,19:00:00,3653.00,3653.00,3652.00,3652.00,467,0\r\n2006-01-26,19:01:00,3652.00,3653.00,3652.00,3653.00,108,0\r\n2006-01-26,19:02:00,3653.00,3655.00,3653.00,3655.00,501,0\r\n2006-01-26,19:03:00,3655.00,3656.00,3655.00,3655.00,47,0\r\n2006-01-26,19:04:00,3655.00,3655.00,3655.00,3655.00,147,0\r\n2006-01-26,19:05:00,3655.00,3655.00,3654.00,3655.00,288,0\r\n2006-01-26,19:06:00,3654.00,3654.00,3652.00,3652.00,339,0\r\n2006-01-26,19:07:00,3653.00,3653.00,3653.00,3653.00,289,0\r\n2006-01-26,19:08:00,3653.00,3653.00,3653.00,3653.00,191,0\r\n2006-01-26,19:10:00,3654.00,3654.00,3653.00,3654.00,153,0\r\n2006-01-26,19:11:00,3654.00,3654.00,3653.00,3653.00,41,0\r\n2006-01-26,19:12:00,3654.00,3654.00,3653.00,3654.00,216,0\r\n2006-01-26,19:13:00,3654.00,3655.00,3654.00,3655.00,318,0\r\n2006-01-26,19:14:00,3654.00,3656.00,3654.00,3655.00,139,0\r\n2006-01-26,19:15:00,3655.00,3655.00,3654.00,3654.00,115,0\r\n2006-01-26,19:16:00,3654.00,3655.00,3654.00,3654.00,524,0\r\n2006-01-26,19:17:00,3654.00,3654.00,3654.00,3654.00,15,0\r\n2006-01-26,19:18:00,3655.00,3655.00,3654.00,3655.00,81,0\r\n2006-01-26,19:19:00,3656.00,3656.00,3656.00,3656.00,168,0\r\n2006-01-26,19:20:00,3656.00,3656.00,3655.00,3655.00,161,0\r\n2006-01-26,19:21:00,3655.00,3656.00,3655.00,3655.00,54,0\r\n2006-01-26,19:23:00,3656.00,3656.00,3656.00,3656.00,241,0\r\n2006-01-26,19:24:00,3655.00,3656.00,3655.00,3656.00,4,0\r\n2006-01-26,19:25:00,3655.00,3655.00,3654.00,3654.00,260,0\r\n2006-01-26,19:26:00,3655.00,3655.00,3654.00,3654.00,44,0\r\n2006-01-26,19:27:00,3655.00,3655.00,3655.00,3655.00,101,0\r\n2006-01-26,19:28:00,3655.00,3655.00,3654.00,3654.00,247,0\r\n2006-01-26,19:30:00,3654.00,3654.00,3653.00,3653.00,374,0\r\n2006-01-26,19:31:00,3654.00,3654.00,3652.00,3652.00,114,0\r\n2006-01-26,19:32:00,3652.00,3654.00,3652.00,3654.00,365,0\r\n2006-01-26,19:33:00,3654.00,3654.00,3654.00,3654.00,2,0\r\n2006-01-26,19:34:00,3654.00,3655.00,3653.00,3655.00,288,0\r\n2006-01-26,19:35:00,3654.00,3654.00,3654.00,3654.00,3,0\r\n2006-01-26,19:37:00,3655.00,3655.00,3653.00,3653.00,154,0\r\n2006-01-26,19:38:00,3653.00,3655.00,3653.00,3654.00,178,0\r\n2006-01-26,19:40:00,3654.00,3654.00,3654.00,3654.00,235,0\r\n2006-01-26,19:41:00,3654.00,3654.00,3653.00,3653.00,226,0\r\n2006-01-26,19:42:00,3653.00,3654.00,3653.00,3654.00,49,0\r\n2006-01-26,19:43:00,3654.00,3654.00,3653.00,3654.00,124,0\r\n2006-01-26,19:44:00,3654.00,3654.00,3652.00,3653.00,283,0\r\n2006-01-26,19:45:00,3653.00,3654.00,3653.00,3654.00,150,0\r\n2006-01-26,19:46:00,3653.00,3653.00,3653.00,3653.00,4,0\r\n2006-01-26,19:47:00,3653.00,3653.00,3652.00,3652.00,108,0\r\n2006-01-26,19:48:00,3652.00,3652.00,3651.00,3652.00,796,0\r\n2006-01-26,19:49:00,3652.00,3652.00,3649.00,3651.00,763,0\r\n2006-01-26,19:50:00,3651.00,3651.00,3650.00,3650.00,178,0\r\n2006-01-26,19:51:00,3650.00,3651.00,3650.00,3651.00,391,0\r\n2006-01-26,19:52:00,3651.00,3652.00,3651.00,3651.00,116,0\r\n2006-01-26,19:53:00,3651.00,3651.00,3651.00,3651.00,16,0\r\n2006-01-26,19:54:00,3652.00,3652.00,3652.00,3652.00,272,0\r\n2006-01-26,19:55:00,3653.00,3653.00,3653.00,3653.00,1,0\r\n2006-01-26,19:56:00,3653.00,3655.00,3653.00,3655.00,506,0\r\n2006-01-26,19:57:00,3655.00,3656.00,3655.00,3655.00,248,0\r\n2006-01-26,19:58:00,3655.00,3655.00,3655.00,3655.00,33,0\r\n2006-01-26,19:59:00,3655.00,3656.00,3655.00,3655.00,126,0\r\n2006-01-26,20:00:00,3655.00,3656.00,3655.00,3655.00,174,0\r\n2006-01-26,20:01:00,3655.00,3657.00,3654.00,3657.00,182,0\r\n2006-01-26,20:02:00,3656.00,3657.00,3656.00,3656.00,29,0\r\n2006-01-26,20:03:00,3656.00,3656.00,3655.00,3655.00,111,0\r\n2006-01-26,20:04:00,3654.00,3656.00,3654.00,3656.00,101,0\r\n2006-01-26,20:05:00,3656.00,3656.00,3655.00,3655.00,71,0\r\n2006-01-26,20:06:00,3655.00,3655.00,3653.00,3654.00,86,0\r\n2006-01-26,20:07:00,3654.00,3654.00,3654.00,3654.00,31,0\r\n2006-01-26,20:08:00,3655.00,3656.00,3655.00,3656.00,90,0\r\n2006-01-26,20:09:00,3656.00,3658.00,3656.00,3656.00,119,0\r\n2006-01-26,20:10:00,3657.00,3657.00,3655.00,3657.00,104,0\r\n2006-01-26,20:11:00,3656.00,3656.00,3655.00,3655.00,45,0\r\n2006-01-26,20:12:00,3655.00,3656.00,3655.00,3656.00,25,0\r\n2006-01-26,20:15:00,3655.00,3657.00,3655.00,3657.00,42,0\r\n2006-01-26,20:16:00,3656.00,3656.00,3655.00,3655.00,199,0\r\n2006-01-26,20:17:00,3656.00,3656.00,3656.00,3656.00,100,0\r\n2006-01-26,20:18:00,3655.00,3656.00,3655.00,3656.00,12,0\r\n2006-01-26,20:19:00,3656.00,3658.00,3656.00,3657.00,162,0\r\n2006-01-26,20:20:00,3657.00,3657.00,3657.00,3657.00,131,0\r\n2006-01-26,20:21:00,3656.00,3657.00,3656.00,3657.00,33,0\r\n2006-01-26,20:22:00,3657.00,3657.00,3657.00,3657.00,26,0\r\n2006-01-26,20:23:00,3656.00,3656.00,3656.00,3656.00,69,0\r\n2006-01-26,20:24:00,3657.00,3659.00,3657.00,3658.00,211,0\r\n2006-01-26,20:25:00,3658.00,3658.00,3657.00,3657.00,58,0\r\n2006-01-26,20:26:00,3657.00,3657.00,3657.00,3657.00,27,0\r\n2006-01-26,20:27:00,3658.00,3658.00,3658.00,3658.00,10,0\r\n2006-01-26,20:28:00,3657.00,3658.00,3657.00,3657.00,10,0\r\n2006-01-26,20:30:00,3657.00,3657.00,3656.00,3656.00,20,0\r\n2006-01-26,20:31:00,3655.00,3655.00,3655.00,3655.00,120,0\r\n2006-01-26,20:32:00,3655.00,3655.00,3654.00,3654.00,149,0\r\n2006-01-26,20:33:00,3654.00,3654.00,3653.00,3653.00,141,0\r\n2006-01-26,20:34:00,3653.00,3654.00,3653.00,3653.00,150,0\r\n2006-01-26,20:35:00,3654.00,3654.00,3653.00,3653.00,43,0\r\n2006-01-26,20:36:00,3652.00,3653.00,3652.00,3653.00,90,0\r\n2006-01-26,20:37:00,3653.00,3653.00,3653.00,3653.00,23,0\r\n2006-01-26,20:38:00,3653.00,3654.00,3653.00,3654.00,57,0\r\n2006-01-26,20:39:00,3654.00,3654.00,3654.00,3654.00,21,0\r\n2006-01-26,20:40:00,3654.00,3655.00,3654.00,3654.00,29,0\r\n2006-01-26,20:41:00,3654.00,3654.00,3653.00,3654.00,306,0\r\n2006-01-26,20:42:00,3655.00,3655.00,3655.00,3655.00,76,0\r\n2006-01-26,20:43:00,3655.00,3655.00,3655.00,3655.00,1,0\r\n2006-01-26,20:44:00,3655.00,3659.00,3655.00,3658.00,558,0\r\n2006-01-26,20:45:00,3658.00,3658.00,3657.00,3657.00,26,0\r\n2006-01-26,20:46:00,3658.00,3660.00,3658.00,3659.00,166,0\r\n2006-01-26,20:47:00,3659.00,3659.00,3659.00,3659.00,46,0\r\n2006-01-26,20:48:00,3660.00,3660.00,3660.00,3660.00,25,0\r\n2006-01-26,20:49:00,3659.00,3660.00,3659.00,3660.00,21,0\r\n2006-01-26,20:50:00,3660.00,3661.00,3660.00,3661.00,8,0\r\n2006-01-26,20:51:00,3661.00,3661.00,3660.00,3660.00,55,0\r\n2006-01-26,20:52:00,3659.00,3660.00,3659.00,3660.00,39,0\r\n2006-01-26,20:53:00,3661.00,3661.00,3660.00,3660.00,74,0\r\n2006-01-26,20:54:00,3661.00,3662.00,3661.00,3662.00,72,0\r\n2006-01-26,20:55:00,3662.00,3663.00,3662.00,3662.00,132,0\r\n2006-01-26,20:56:00,3662.00,3662.00,3662.00,3662.00,2,0\r\n2006-01-26,20:57:00,3662.00,3662.00,3662.00,3662.00,104,0\r\n2006-01-26,20:58:00,3662.00,3662.00,3662.00,3662.00,56,0\r\n2006-01-26,20:59:00,3661.00,3662.00,3661.00,3662.00,68,0\r\n2006-01-26,21:00:00,3662.00,3662.00,3661.00,3661.00,72,0\r\n2006-01-26,21:01:00,3660.00,3660.00,3659.00,3660.00,119,0\r\n2006-01-26,21:02:00,3661.00,3662.00,3661.00,3661.00,68,0\r\n2006-01-26,21:03:00,3661.00,3661.00,3661.00,3661.00,41,0\r\n2006-01-26,21:04:00,3660.00,3660.00,3660.00,3660.00,21,0\r\n2006-01-26,21:05:00,3661.00,3661.00,3661.00,3661.00,34,0\r\n2006-01-26,21:06:00,3661.00,3661.00,3661.00,3661.00,10,0\r\n2006-01-26,21:07:00,3662.00,3662.00,3662.00,3662.00,38,0\r\n2006-01-26,21:08:00,3662.00,3663.00,3662.00,3662.00,70,0\r\n2006-01-26,21:09:00,3662.00,3662.00,3662.00,3662.00,53,0\r\n2006-01-26,21:10:00,3662.00,3662.00,3662.00,3662.00,1,0\r\n2006-01-26,21:11:00,3662.00,3662.00,3662.00,3662.00,36,0\r\n2006-01-26,21:12:00,3662.00,3663.00,3662.00,3663.00,51,0\r\n2006-01-26,21:13:00,3662.00,3663.00,3662.00,3662.00,54,0\r\n2006-01-26,21:14:00,3662.00,3662.00,3661.00,3661.00,57,0\r\n2006-01-26,21:15:00,3661.00,3661.00,3661.00,3661.00,16,0\r\n2006-01-26,21:16:00,3661.00,3661.00,3661.00,3661.00,74,0\r\n2006-01-26,21:17:00,3661.00,3662.00,3661.00,3662.00,85,0\r\n2006-01-26,21:18:00,3661.00,3661.00,3661.00,3661.00,25,0\r\n2006-01-26,21:19:00,3661.00,3661.00,3661.00,3661.00,7,0\r\n2006-01-26,21:20:00,3661.00,3661.00,3661.00,3661.00,39,0\r\n2006-01-26,21:21:00,3661.00,3662.00,3661.00,3662.00,132,0\r\n2006-01-26,21:22:00,3661.00,3661.00,3661.00,3661.00,43,0\r\n2006-01-26,21:23:00,3661.00,3661.00,3661.00,3661.00,81,0\r\n2006-01-26,21:24:00,3661.00,3661.00,3661.00,3661.00,32,0\r\n2006-01-26,21:25:00,3661.00,3661.00,3661.00,3661.00,55,0\r\n2006-01-26,21:26:00,3661.00,3662.00,3661.00,3662.00,24,0\r\n2006-01-26,21:27:00,3662.00,3662.00,3662.00,3662.00,15,0\r\n2006-01-26,21:28:00,3662.00,3662.00,3661.00,3661.00,12,0\r\n2006-01-26,21:29:00,3662.00,3662.00,3662.00,3662.00,77,0\r\n2006-01-26,21:30:00,3661.00,3661.00,3661.00,3661.00,30,0\r\n2006-01-26,21:31:00,3662.00,3662.00,3661.00,3661.00,4,0\r\n2006-01-26,21:32:00,3661.00,3662.00,3661.00,3662.00,2,0\r\n2006-01-26,21:33:00,3662.00,3662.00,3661.00,3661.00,29,0\r\n2006-01-26,21:34:00,3661.00,3662.00,3661.00,3662.00,78,0\r\n2006-01-26,21:35:00,3662.00,3662.00,3661.00,3661.00,21,0\r\n2006-01-26,21:36:00,3661.00,3661.00,3661.00,3661.00,62,0\r\n2006-01-26,21:37:00,3661.00,3661.00,3661.00,3661.00,35,0\r\n2006-01-26,21:38:00,3660.00,3660.00,3660.00,3660.00,5,0\r\n2006-01-26,21:39:00,3660.00,3660.00,3660.00,3660.00,203,0\r\n2006-01-26,21:40:00,3661.00,3661.00,3661.00,3661.00,16,0\r\n2006-01-26,21:41:00,3661.00,3661.00,3661.00,3661.00,25,0\r\n2006-01-26,21:42:00,3660.00,3660.00,3660.00,3660.00,75,0\r\n2006-01-26,21:43:00,3660.00,3660.00,3660.00,3660.00,81,0\r\n2006-01-26,21:44:00,3660.00,3661.00,3660.00,3661.00,36,0\r\n2006-01-26,21:45:00,3661.00,3661.00,3660.00,3660.00,26,0\r\n2006-01-26,21:46:00,3660.00,3660.00,3660.00,3660.00,31,0\r\n2006-01-26,21:47:00,3660.00,3660.00,3659.00,3659.00,54,0\r\n2006-01-26,21:48:00,3660.00,3660.00,3660.00,3660.00,10,0\r\n2006-01-26,21:49:00,3660.00,3660.00,3660.00,3660.00,56,0\r\n2006-01-26,21:50:00,3661.00,3661.00,3661.00,3661.00,72,0\r\n2006-01-26,21:51:00,3662.00,3662.00,3662.00,3662.00,5,0\r\n2006-01-26,21:53:00,3661.00,3661.00,3661.00,3661.00,44,0\r\n2006-01-26,21:54:00,3661.00,3661.00,3660.00,3660.00,24,0\r\n2006-01-26,21:55:00,3660.00,3660.00,3660.00,3660.00,18,0\r\n2006-01-26,21:56:00,3660.00,3661.00,3660.00,3661.00,36,0\r\n2006-01-26,21:57:00,3662.00,3662.00,3661.00,3662.00,46,0\r\n2006-01-26,21:58:00,3662.00,3663.00,3662.00,3662.00,85,0\r\n2006-01-26,21:59:00,3662.00,3664.00,3662.00,3664.00,897,0\r\n2006-01-26,22:00:00,3664.00,3665.00,3662.00,3662.00,1060,0\r\n2006-01-27,09:01:00,3679.00,3688.00,3679.00,3687.00,15685,0\r\n2006-01-27,09:02:00,3688.00,3689.00,3687.00,3689.00,5275,0\r\n2006-01-27,09:03:00,3688.00,3690.00,3687.00,3688.00,3782,0\r\n2006-01-27,09:04:00,3688.00,3692.00,3687.00,3691.00,6423,0\r\n2006-01-27,09:05:00,3691.00,3693.00,3690.00,3691.00,3973,0\r\n2006-01-27,09:06:00,3690.00,3692.00,3688.00,3688.00,7938,0\r\n2006-01-27,09:07:00,3688.00,3689.00,3686.00,3687.00,4347,0\r\n2006-01-27,09:08:00,3687.00,3688.00,3685.00,3685.00,1836,0\r\n2006-01-27,09:09:00,3686.00,3688.00,3686.00,3687.00,2746,0\r\n2006-01-27,09:10:00,3687.00,3688.00,3685.00,3686.00,1622,0\r\n2006-01-27,09:11:00,3686.00,3688.00,3685.00,3686.00,1351,0\r\n2006-01-27,09:12:00,3687.00,3687.00,3684.00,3685.00,2109,0\r\n2006-01-27,09:13:00,3685.00,3686.00,3684.00,3685.00,1275,0\r\n2006-01-27,09:14:00,3685.00,3685.00,3683.00,3685.00,2544,0\r\n2006-01-27,09:15:00,3685.00,3686.00,3684.00,3685.00,830,0\r\n2006-01-27,09:16:00,3685.00,3688.00,3685.00,3687.00,3423,0\r\n2006-01-27,09:17:00,3686.00,3687.00,3685.00,3686.00,2325,0\r\n2006-01-27,09:18:00,3686.00,3686.00,3684.00,3685.00,1005,0\r\n2006-01-27,09:19:00,3685.00,3685.00,3682.00,3682.00,2356,0\r\n2006-01-27,09:20:00,3682.00,3683.00,3681.00,3681.00,1249,0\r\n2006-01-27,09:21:00,3682.00,3683.00,3680.00,3681.00,2291,0\r\n2006-01-27,09:22:00,3681.00,3682.00,3678.00,3680.00,5122,0\r\n2006-01-27,09:23:00,3680.00,3681.00,3679.00,3680.00,1646,0\r\n2006-01-27,09:24:00,3680.00,3681.00,3679.00,3681.00,1587,0\r\n2006-01-27,09:25:00,3681.00,3683.00,3680.00,3682.00,933,0\r\n2006-01-27,09:26:00,3681.00,3683.00,3681.00,3682.00,1107,0\r\n2006-01-27,09:27:00,3683.00,3683.00,3682.00,3682.00,1107,0\r\n2006-01-27,09:28:00,3683.00,3683.00,3681.00,3682.00,290,0\r\n2006-01-27,09:29:00,3682.00,3684.00,3682.00,3683.00,1223,0\r\n2006-01-27,09:30:00,3684.00,3685.00,3683.00,3685.00,2948,0\r\n2006-01-27,09:31:00,3685.00,3686.00,3684.00,3685.00,579,0\r\n2006-01-27,09:32:00,3685.00,3687.00,3685.00,3686.00,2811,0\r\n2006-01-27,09:33:00,3686.00,3687.00,3685.00,3687.00,1401,0\r\n2006-01-27,09:34:00,3686.00,3686.00,3685.00,3685.00,397,0\r\n2006-01-27,09:35:00,3686.00,3686.00,3685.00,3685.00,411,0\r\n2006-01-27,09:36:00,3685.00,3685.00,3683.00,3684.00,1398,0\r\n2006-01-27,09:37:00,3684.00,3684.00,3683.00,3684.00,435,0\r\n2006-01-27,09:38:00,3684.00,3685.00,3683.00,3683.00,1079,0\r\n2006-01-27,09:39:00,3684.00,3684.00,3683.00,3684.00,1200,0\r\n2006-01-27,09:40:00,3684.00,3685.00,3684.00,3685.00,161,0\r\n2006-01-27,09:41:00,3685.00,3686.00,3683.00,3684.00,3934,0\r\n2006-01-27,09:42:00,3684.00,3686.00,3683.00,3684.00,1708,0\r\n2006-01-27,09:43:00,3684.00,3684.00,3683.00,3684.00,545,0\r\n2006-01-27,09:44:00,3683.00,3685.00,3682.00,3683.00,1594,0\r\n2006-01-27,09:45:00,3683.00,3683.00,3681.00,3683.00,1943,0\r\n2006-01-27,09:46:00,3682.00,3683.00,3682.00,3682.00,1825,0\r\n2006-01-27,09:47:00,3682.00,3683.00,3681.00,3683.00,472,0\r\n2006-01-27,09:48:00,3682.00,3683.00,3682.00,3683.00,337,0\r\n2006-01-27,09:49:00,3683.00,3686.00,3682.00,3686.00,2470,0\r\n2006-01-27,09:50:00,3685.00,3686.00,3684.00,3685.00,648,0\r\n2006-01-27,09:51:00,3685.00,3685.00,3683.00,3684.00,1001,0\r\n2006-01-27,09:52:00,3684.00,3685.00,3684.00,3685.00,1857,0\r\n2006-01-27,09:53:00,3684.00,3684.00,3683.00,3684.00,1431,0\r\n2006-01-27,09:54:00,3684.00,3684.00,3683.00,3684.00,694,0\r\n2006-01-27,09:55:00,3685.00,3685.00,3683.00,3684.00,924,0\r\n2006-01-27,09:56:00,3685.00,3686.00,3685.00,3686.00,1749,0\r\n2006-01-27,09:57:00,3686.00,3687.00,3685.00,3687.00,1378,0\r\n2006-01-27,09:58:00,3687.00,3687.00,3685.00,3685.00,464,0\r\n2006-01-27,09:59:00,3686.00,3686.00,3683.00,3683.00,920,0\r\n2006-01-27,10:00:00,3683.00,3684.00,3683.00,3683.00,3467,0\r\n2006-01-27,10:01:00,3684.00,3684.00,3682.00,3683.00,1746,0\r\n2006-01-27,10:02:00,3684.00,3684.00,3682.00,3682.00,1704,0\r\n2006-01-27,10:03:00,3683.00,3683.00,3683.00,3683.00,400,0\r\n2006-01-27,10:04:00,3683.00,3684.00,3683.00,3683.00,262,0\r\n2006-01-27,10:05:00,3682.00,3683.00,3681.00,3681.00,1149,0\r\n2006-01-27,10:06:00,3682.00,3683.00,3682.00,3683.00,696,0\r\n2006-01-27,10:07:00,3682.00,3683.00,3682.00,3683.00,1024,0\r\n2006-01-27,10:08:00,3682.00,3687.00,3682.00,3687.00,4169,0\r\n2006-01-27,10:09:00,3686.00,3690.00,3686.00,3689.00,2914,0\r\n2006-01-27,10:10:00,3688.00,3689.00,3687.00,3687.00,394,0\r\n2006-01-27,10:11:00,3688.00,3688.00,3687.00,3687.00,428,0\r\n2006-01-27,10:12:00,3688.00,3690.00,3687.00,3689.00,1617,0\r\n2006-01-27,10:13:00,3689.00,3689.00,3686.00,3687.00,2834,0\r\n2006-01-27,10:14:00,3687.00,3687.00,3686.00,3686.00,293,0\r\n2006-01-27,10:15:00,3686.00,3687.00,3685.00,3687.00,1698,0\r\n2006-01-27,10:16:00,3686.00,3687.00,3686.00,3687.00,2133,0\r\n2006-01-27,10:17:00,3687.00,3688.00,3687.00,3687.00,2557,0\r\n2006-01-27,10:18:00,3687.00,3687.00,3685.00,3685.00,1154,0\r\n2006-01-27,10:19:00,3685.00,3685.00,3684.00,3685.00,722,0\r\n2006-01-27,10:20:00,3684.00,3686.00,3684.00,3686.00,1640,0\r\n2006-01-27,10:21:00,3687.00,3687.00,3686.00,3686.00,726,0\r\n2006-01-27,10:22:00,3686.00,3686.00,3685.00,3685.00,811,0\r\n2006-01-27,10:23:00,3685.00,3685.00,3684.00,3685.00,853,0\r\n2006-01-27,10:24:00,3685.00,3685.00,3683.00,3683.00,2156,0\r\n2006-01-27,10:25:00,3683.00,3683.00,3681.00,3683.00,1154,0\r\n2006-01-27,10:26:00,3682.00,3682.00,3681.00,3682.00,975,0\r\n2006-01-27,10:27:00,3682.00,3682.00,3676.00,3677.00,6346,0\r\n2006-01-27,10:28:00,3677.00,3682.00,3677.00,3682.00,6498,0\r\n2006-01-27,10:29:00,3681.00,3683.00,3681.00,3682.00,2976,0\r\n2006-01-27,10:30:00,3682.00,3683.00,3680.00,3680.00,1427,0\r\n2006-01-27,10:31:00,3680.00,3681.00,3679.00,3680.00,1169,0\r\n2006-01-27,10:32:00,3681.00,3682.00,3680.00,3681.00,709,0\r\n2006-01-27,10:33:00,3680.00,3681.00,3679.00,3679.00,2039,0\r\n2006-01-27,10:34:00,3678.00,3679.00,3677.00,3678.00,2419,0\r\n2006-01-27,10:35:00,3678.00,3679.00,3676.00,3679.00,2222,0\r\n2006-01-27,10:36:00,3679.00,3679.00,3677.00,3678.00,739,0\r\n2006-01-27,10:37:00,3678.00,3679.00,3676.00,3678.00,2303,0\r\n2006-01-27,10:38:00,3678.00,3681.00,3678.00,3680.00,1263,0\r\n2006-01-27,10:39:00,3680.00,3680.00,3678.00,3679.00,957,0\r\n2006-01-27,10:40:00,3680.00,3680.00,3679.00,3680.00,433,0\r\n2006-01-27,10:41:00,3680.00,3680.00,3679.00,3680.00,653,0\r\n2006-01-27,10:42:00,3680.00,3683.00,3680.00,3683.00,2330,0\r\n2006-01-27,10:43:00,3683.00,3683.00,3681.00,3682.00,1571,0\r\n2006-01-27,10:44:00,3682.00,3683.00,3682.00,3683.00,369,0\r\n2006-01-27,10:45:00,3683.00,3683.00,3683.00,3683.00,185,0\r\n2006-01-27,10:46:00,3683.00,3683.00,3682.00,3682.00,545,0\r\n2006-01-27,10:47:00,3682.00,3682.00,3681.00,3682.00,223,0\r\n2006-01-27,10:48:00,3681.00,3682.00,3681.00,3682.00,2047,0\r\n2006-01-27,10:49:00,3681.00,3682.00,3681.00,3681.00,143,0\r\n2006-01-27,10:50:00,3681.00,3682.00,3680.00,3681.00,2028,0\r\n2006-01-27,10:51:00,3681.00,3681.00,3679.00,3680.00,1570,0\r\n2006-01-27,10:52:00,3679.00,3681.00,3679.00,3681.00,478,0\r\n2006-01-27,10:53:00,3680.00,3681.00,3680.00,3681.00,90,0\r\n2006-01-27,10:54:00,3681.00,3681.00,3680.00,3681.00,878,0\r\n2006-01-27,10:55:00,3681.00,3682.00,3680.00,3682.00,319,0\r\n2006-01-27,10:56:00,3682.00,3682.00,3679.00,3680.00,1052,0\r\n2006-01-27,10:57:00,3679.00,3680.00,3678.00,3679.00,880,0\r\n2006-01-27,10:58:00,3679.00,3679.00,3678.00,3679.00,281,0\r\n2006-01-27,10:59:00,3678.00,3679.00,3676.00,3678.00,784,0\r\n2006-01-27,11:00:00,3678.00,3679.00,3677.00,3678.00,783,0\r\n2006-01-27,11:01:00,3678.00,3681.00,3677.00,3680.00,2943,0\r\n2006-01-27,11:02:00,3679.00,3681.00,3679.00,3680.00,614,0\r\n2006-01-27,11:03:00,3680.00,3682.00,3680.00,3681.00,1011,0\r\n2006-01-27,11:04:00,3680.00,3682.00,3680.00,3681.00,1183,0\r\n2006-01-27,11:05:00,3681.00,3681.00,3679.00,3679.00,1160,0\r\n2006-01-27,11:06:00,3679.00,3680.00,3678.00,3680.00,694,0\r\n2006-01-27,11:07:00,3681.00,3681.00,3680.00,3680.00,323,0\r\n2006-01-27,11:08:00,3679.00,3681.00,3679.00,3680.00,1190,0\r\n2006-01-27,11:09:00,3680.00,3682.00,3680.00,3681.00,1644,0\r\n2006-01-27,11:10:00,3682.00,3683.00,3681.00,3683.00,1889,0\r\n2006-01-27,11:11:00,3683.00,3683.00,3682.00,3682.00,497,0\r\n2006-01-27,11:12:00,3682.00,3682.00,3680.00,3681.00,460,0\r\n2006-01-27,11:13:00,3681.00,3681.00,3680.00,3680.00,440,0\r\n2006-01-27,11:14:00,3681.00,3681.00,3680.00,3681.00,786,0\r\n2006-01-27,11:15:00,3680.00,3681.00,3680.00,3680.00,321,0\r\n2006-01-27,11:16:00,3680.00,3681.00,3680.00,3680.00,1473,0\r\n2006-01-27,11:17:00,3681.00,3681.00,3680.00,3681.00,1158,0\r\n2006-01-27,11:18:00,3680.00,3681.00,3680.00,3681.00,492,0\r\n2006-01-27,11:19:00,3681.00,3681.00,3680.00,3680.00,668,0\r\n2006-01-27,11:20:00,3680.00,3682.00,3680.00,3681.00,1066,0\r\n2006-01-27,11:21:00,3681.00,3681.00,3680.00,3681.00,415,0\r\n2006-01-27,11:22:00,3681.00,3681.00,3680.00,3681.00,322,0\r\n2006-01-27,11:23:00,3680.00,3681.00,3680.00,3681.00,2,0\r\n2006-01-27,11:24:00,3681.00,3681.00,3680.00,3680.00,16,0\r\n2006-01-27,11:25:00,3681.00,3681.00,3680.00,3680.00,191,0\r\n2006-01-27,11:26:00,3681.00,3681.00,3680.00,3680.00,544,0\r\n2006-01-27,11:27:00,3679.00,3679.00,3678.00,3679.00,614,0\r\n2006-01-27,11:28:00,3679.00,3679.00,3678.00,3679.00,125,0\r\n2006-01-27,11:29:00,3678.00,3678.00,3677.00,3677.00,1165,0\r\n2006-01-27,11:30:00,3677.00,3678.00,3676.00,3676.00,939,0\r\n2006-01-27,11:31:00,3676.00,3677.00,3675.00,3676.00,2499,0\r\n2006-01-27,11:32:00,3675.00,3676.00,3674.00,3675.00,1284,0\r\n2006-01-27,11:33:00,3675.00,3677.00,3675.00,3677.00,2083,0\r\n2006-01-27,11:34:00,3678.00,3678.00,3677.00,3677.00,283,0\r\n2006-01-27,11:35:00,3678.00,3678.00,3677.00,3678.00,49,0\r\n2006-01-27,11:36:00,3677.00,3678.00,3677.00,3678.00,49,0\r\n2006-01-27,11:37:00,3677.00,3679.00,3677.00,3679.00,1052,0\r\n2006-01-27,11:38:00,3678.00,3679.00,3678.00,3678.00,1085,0\r\n2006-01-27,11:39:00,3678.00,3679.00,3677.00,3678.00,897,0\r\n2006-01-27,11:40:00,3678.00,3678.00,3678.00,3678.00,459,0\r\n2006-01-27,11:41:00,3678.00,3678.00,3676.00,3677.00,1274,0\r\n2006-01-27,11:42:00,3678.00,3678.00,3677.00,3677.00,318,0\r\n2006-01-27,11:43:00,3678.00,3678.00,3677.00,3677.00,475,0\r\n2006-01-27,11:44:00,3677.00,3677.00,3676.00,3677.00,329,0\r\n2006-01-27,11:45:00,3676.00,3677.00,3676.00,3677.00,257,0\r\n2006-01-27,11:46:00,3677.00,3677.00,3676.00,3677.00,1011,0\r\n2006-01-27,11:47:00,3676.00,3677.00,3676.00,3677.00,1701,0\r\n2006-01-27,11:48:00,3677.00,3677.00,3676.00,3677.00,183,0\r\n2006-01-27,11:49:00,3677.00,3678.00,3676.00,3677.00,1507,0\r\n2006-01-27,11:50:00,3677.00,3677.00,3676.00,3677.00,233,0\r\n2006-01-27,11:51:00,3676.00,3676.00,3676.00,3676.00,439,0\r\n2006-01-27,11:52:00,3675.00,3677.00,3675.00,3676.00,1267,0\r\n2006-01-27,11:53:00,3676.00,3676.00,3676.00,3676.00,75,0\r\n2006-01-27,11:54:00,3675.00,3676.00,3675.00,3676.00,1033,0\r\n2006-01-27,11:55:00,3675.00,3676.00,3674.00,3675.00,739,0\r\n2006-01-27,11:56:00,3674.00,3675.00,3674.00,3674.00,1265,0\r\n2006-01-27,11:57:00,3675.00,3675.00,3674.00,3674.00,704,0\r\n2006-01-27,11:58:00,3674.00,3675.00,3673.00,3674.00,1230,0\r\n2006-01-27,11:59:00,3675.00,3675.00,3674.00,3675.00,142,0\r\n2006-01-27,12:00:00,3675.00,3675.00,3675.00,3675.00,149,0\r\n2006-01-27,12:01:00,3675.00,3676.00,3674.00,3674.00,1010,0\r\n2006-01-27,12:02:00,3674.00,3675.00,3674.00,3674.00,193,0\r\n2006-01-27,12:03:00,3674.00,3674.00,3673.00,3674.00,989,0\r\n2006-01-27,12:04:00,3674.00,3675.00,3673.00,3674.00,1970,0\r\n2006-01-27,12:05:00,3674.00,3675.00,3674.00,3675.00,140,0\r\n2006-01-27,12:06:00,3675.00,3675.00,3674.00,3674.00,734,0\r\n2006-01-27,12:07:00,3674.00,3675.00,3674.00,3675.00,38,0\r\n2006-01-27,12:08:00,3675.00,3676.00,3675.00,3675.00,1685,0\r\n2006-01-27,12:09:00,3675.00,3676.00,3675.00,3675.00,649,0\r\n2006-01-27,12:10:00,3675.00,3676.00,3675.00,3676.00,225,0\r\n2006-01-27,12:11:00,3676.00,3677.00,3675.00,3676.00,1632,0\r\n2006-01-27,12:12:00,3676.00,3678.00,3676.00,3678.00,1510,0\r\n2006-01-27,12:13:00,3677.00,3677.00,3676.00,3676.00,429,0\r\n2006-01-27,12:14:00,3677.00,3677.00,3676.00,3677.00,52,0\r\n2006-01-27,12:15:00,3676.00,3677.00,3675.00,3676.00,534,0\r\n2006-01-27,12:16:00,3675.00,3676.00,3675.00,3675.00,188,0\r\n2006-01-27,12:17:00,3675.00,3676.00,3675.00,3676.00,649,0\r\n2006-01-27,12:18:00,3675.00,3676.00,3675.00,3676.00,216,0\r\n2006-01-27,12:19:00,3676.00,3676.00,3675.00,3676.00,895,0\r\n2006-01-27,12:20:00,3676.00,3676.00,3675.00,3676.00,315,0\r\n2006-01-27,12:21:00,3675.00,3676.00,3674.00,3675.00,650,0\r\n2006-01-27,12:22:00,3674.00,3675.00,3674.00,3674.00,456,0\r\n2006-01-27,12:23:00,3675.00,3675.00,3674.00,3674.00,904,0\r\n2006-01-27,12:24:00,3673.00,3674.00,3673.00,3674.00,127,0\r\n2006-01-27,12:25:00,3674.00,3674.00,3673.00,3674.00,255,0\r\n2006-01-27,12:26:00,3675.00,3675.00,3674.00,3675.00,272,0\r\n2006-01-27,12:27:00,3675.00,3675.00,3675.00,3675.00,423,0\r\n2006-01-27,12:28:00,3675.00,3676.00,3675.00,3676.00,888,0\r\n2006-01-27,12:29:00,3675.00,3676.00,3675.00,3675.00,587,0\r\n2006-01-27,12:30:00,3675.00,3675.00,3674.00,3675.00,1169,0\r\n2006-01-27,12:31:00,3675.00,3675.00,3674.00,3675.00,452,0\r\n2006-01-27,12:32:00,3674.00,3675.00,3674.00,3674.00,752,0\r\n2006-01-27,12:33:00,3674.00,3675.00,3673.00,3675.00,570,0\r\n2006-01-27,12:34:00,3675.00,3675.00,3675.00,3675.00,44,0\r\n2006-01-27,12:35:00,3675.00,3675.00,3675.00,3675.00,256,0\r\n2006-01-27,12:36:00,3675.00,3676.00,3675.00,3675.00,46,0\r\n2006-01-27,12:37:00,3675.00,3675.00,3674.00,3674.00,219,0\r\n2006-01-27,12:39:00,3675.00,3675.00,3674.00,3674.00,2,0\r\n2006-01-27,12:40:00,3674.00,3675.00,3674.00,3674.00,127,0\r\n2006-01-27,12:41:00,3674.00,3674.00,3674.00,3674.00,240,0\r\n2006-01-27,12:42:00,3674.00,3675.00,3674.00,3675.00,57,0\r\n2006-01-27,12:43:00,3675.00,3676.00,3675.00,3675.00,328,0\r\n2006-01-27,12:44:00,3676.00,3676.00,3676.00,3676.00,249,0\r\n2006-01-27,12:45:00,3675.00,3677.00,3675.00,3676.00,478,0\r\n2006-01-27,12:46:00,3676.00,3678.00,3676.00,3676.00,686,0\r\n2006-01-27,12:47:00,3677.00,3677.00,3676.00,3677.00,331,0\r\n2006-01-27,12:48:00,3677.00,3677.00,3676.00,3677.00,363,0\r\n2006-01-27,12:49:00,3677.00,3677.00,3676.00,3677.00,576,0\r\n2006-01-27,12:50:00,3677.00,3677.00,3677.00,3677.00,24,0\r\n2006-01-27,12:51:00,3677.00,3679.00,3677.00,3678.00,615,0\r\n2006-01-27,12:52:00,3679.00,3680.00,3678.00,3679.00,1226,0\r\n2006-01-27,12:53:00,3679.00,3679.00,3678.00,3679.00,403,0\r\n2006-01-27,12:54:00,3678.00,3679.00,3678.00,3679.00,245,0\r\n2006-01-27,12:55:00,3679.00,3679.00,3678.00,3679.00,41,0\r\n2006-01-27,12:56:00,3679.00,3679.00,3678.00,3678.00,195,0\r\n2006-01-27,12:57:00,3678.00,3679.00,3678.00,3679.00,236,0\r\n2006-01-27,12:58:00,3679.00,3679.00,3678.00,3678.00,105,0\r\n2006-01-27,12:59:00,3678.00,3678.00,3678.00,3678.00,67,0\r\n2006-01-27,13:00:00,3679.00,3679.00,3678.00,3678.00,40,0\r\n2006-01-27,13:01:00,3679.00,3679.00,3677.00,3677.00,646,0\r\n2006-01-27,13:02:00,3678.00,3678.00,3677.00,3678.00,538,0\r\n2006-01-27,13:03:00,3677.00,3677.00,3677.00,3677.00,10,0\r\n2006-01-27,13:04:00,3677.00,3678.00,3677.00,3678.00,72,0\r\n2006-01-27,13:05:00,3678.00,3678.00,3677.00,3677.00,419,0\r\n2006-01-27,13:06:00,3677.00,3678.00,3677.00,3677.00,44,0\r\n2006-01-27,13:07:00,3678.00,3678.00,3677.00,3677.00,106,0\r\n2006-01-27,13:09:00,3678.00,3678.00,3677.00,3678.00,374,0\r\n2006-01-27,13:10:00,3678.00,3679.00,3678.00,3678.00,216,0\r\n2006-01-27,13:11:00,3678.00,3678.00,3677.00,3678.00,77,0\r\n2006-01-27,13:12:00,3678.00,3678.00,3678.00,3678.00,1,0\r\n2006-01-27,13:13:00,3678.00,3678.00,3678.00,3678.00,27,0\r\n2006-01-27,13:14:00,3677.00,3677.00,3677.00,3677.00,19,0\r\n2006-01-27,13:15:00,3677.00,3678.00,3677.00,3677.00,586,0\r\n2006-01-27,13:16:00,3677.00,3677.00,3676.00,3677.00,207,0\r\n2006-01-27,13:17:00,3677.00,3677.00,3676.00,3676.00,10,0\r\n2006-01-27,13:18:00,3677.00,3677.00,3676.00,3676.00,947,0\r\n2006-01-27,13:19:00,3676.00,3676.00,3676.00,3676.00,44,0\r\n2006-01-27,13:20:00,3676.00,3677.00,3676.00,3677.00,1762,0\r\n2006-01-27,13:21:00,3676.00,3676.00,3676.00,3676.00,28,0\r\n2006-01-27,13:22:00,3676.00,3677.00,3676.00,3676.00,42,0\r\n2006-01-27,13:23:00,3676.00,3676.00,3676.00,3676.00,114,0\r\n2006-01-27,13:24:00,3676.00,3676.00,3675.00,3675.00,39,0\r\n2006-01-27,13:25:00,3675.00,3676.00,3675.00,3676.00,228,0\r\n2006-01-27,13:26:00,3675.00,3675.00,3675.00,3675.00,16,0\r\n2006-01-27,13:27:00,3675.00,3675.00,3674.00,3675.00,631,0\r\n2006-01-27,13:28:00,3675.00,3675.00,3674.00,3674.00,112,0\r\n2006-01-27,13:29:00,3674.00,3675.00,3674.00,3675.00,57,0\r\n2006-01-27,13:30:00,3675.00,3675.00,3675.00,3675.00,10,0\r\n2006-01-27,13:31:00,3674.00,3676.00,3674.00,3675.00,495,0\r\n2006-01-27,13:32:00,3675.00,3675.00,3674.00,3675.00,539,0\r\n2006-01-27,13:33:00,3675.00,3675.00,3674.00,3675.00,22,0\r\n2006-01-27,13:34:00,3675.00,3675.00,3675.00,3675.00,242,0\r\n2006-01-27,13:35:00,3675.00,3675.00,3674.00,3675.00,113,0\r\n2006-01-27,13:36:00,3674.00,3675.00,3673.00,3674.00,937,0\r\n2006-01-27,13:37:00,3674.00,3675.00,3672.00,3673.00,1046,0\r\n2006-01-27,13:38:00,3673.00,3673.00,3672.00,3672.00,529,0\r\n2006-01-27,13:39:00,3673.00,3676.00,3672.00,3676.00,2678,0\r\n2006-01-27,13:40:00,3675.00,3676.00,3674.00,3674.00,1142,0\r\n2006-01-27,13:41:00,3675.00,3676.00,3674.00,3675.00,127,0\r\n2006-01-27,13:42:00,3675.00,3676.00,3674.00,3676.00,1660,0\r\n2006-01-27,13:43:00,3676.00,3676.00,3675.00,3676.00,359,0\r\n2006-01-27,13:44:00,3676.00,3677.00,3676.00,3676.00,810,0\r\n2006-01-27,13:45:00,3676.00,3677.00,3676.00,3677.00,370,0\r\n2006-01-27,13:46:00,3676.00,3679.00,3676.00,3678.00,712,0\r\n2006-01-27,13:47:00,3679.00,3679.00,3677.00,3678.00,163,0\r\n2006-01-27,13:48:00,3677.00,3678.00,3677.00,3678.00,216,0\r\n2006-01-27,13:49:00,3679.00,3679.00,3678.00,3678.00,479,0\r\n2006-01-27,13:50:00,3678.00,3679.00,3678.00,3679.00,637,0\r\n2006-01-27,13:51:00,3678.00,3679.00,3678.00,3679.00,11,0\r\n2006-01-27,13:52:00,3678.00,3679.00,3678.00,3679.00,9,0\r\n2006-01-27,13:53:00,3678.00,3679.00,3678.00,3679.00,51,0\r\n2006-01-27,13:54:00,3679.00,3679.00,3678.00,3679.00,161,0\r\n2006-01-27,13:55:00,3679.00,3679.00,3678.00,3679.00,376,0\r\n2006-01-27,13:56:00,3679.00,3679.00,3678.00,3678.00,15,0\r\n2006-01-27,13:57:00,3678.00,3679.00,3678.00,3679.00,15,0\r\n2006-01-27,13:58:00,3679.00,3679.00,3678.00,3679.00,4,0\r\n2006-01-27,13:59:00,3678.00,3679.00,3678.00,3678.00,35,0\r\n2006-01-27,14:00:00,3678.00,3679.00,3677.00,3677.00,614,0\r\n2006-01-27,14:01:00,3678.00,3678.00,3677.00,3678.00,113,0\r\n2006-01-27,14:02:00,3677.00,3678.00,3677.00,3678.00,361,0\r\n2006-01-27,14:03:00,3678.00,3681.00,3678.00,3680.00,2651,0\r\n2006-01-27,14:04:00,3680.00,3681.00,3679.00,3679.00,743,0\r\n2006-01-27,14:05:00,3679.00,3680.00,3679.00,3680.00,2098,0\r\n2006-01-27,14:06:00,3680.00,3683.00,3679.00,3683.00,3114,0\r\n2006-01-27,14:07:00,3682.00,3683.00,3682.00,3683.00,704,0\r\n2006-01-27,14:08:00,3683.00,3683.00,3683.00,3683.00,218,0\r\n2006-01-27,14:09:00,3683.00,3683.00,3681.00,3681.00,1280,0\r\n2006-01-27,14:10:00,3682.00,3683.00,3681.00,3683.00,1047,0\r\n2006-01-27,14:11:00,3682.00,3686.00,3682.00,3684.00,3527,0\r\n2006-01-27,14:12:00,3683.00,3684.00,3682.00,3683.00,351,0\r\n2006-01-27,14:13:00,3683.00,3683.00,3681.00,3682.00,802,0\r\n2006-01-27,14:14:00,3682.00,3682.00,3682.00,3682.00,862,0\r\n2006-01-27,14:15:00,3682.00,3682.00,3682.00,3682.00,178,0\r\n2006-01-27,14:16:00,3682.00,3683.00,3682.00,3682.00,871,0\r\n2006-01-27,14:17:00,3682.00,3682.00,3682.00,3682.00,97,0\r\n2006-01-27,14:18:00,3681.00,3682.00,3681.00,3681.00,178,0\r\n2006-01-27,14:19:00,3682.00,3682.00,3681.00,3682.00,42,0\r\n2006-01-27,14:20:00,3682.00,3683.00,3682.00,3682.00,145,0\r\n2006-01-27,14:21:00,3682.00,3683.00,3681.00,3681.00,234,0\r\n2006-01-27,14:22:00,3682.00,3682.00,3681.00,3682.00,483,0\r\n2006-01-27,14:23:00,3682.00,3682.00,3681.00,3682.00,765,0\r\n2006-01-27,14:24:00,3681.00,3682.00,3681.00,3681.00,765,0\r\n2006-01-27,14:25:00,3681.00,3681.00,3679.00,3680.00,857,0\r\n2006-01-27,14:26:00,3679.00,3680.00,3678.00,3679.00,1278,0\r\n2006-01-27,14:27:00,3680.00,3680.00,3678.00,3678.00,1545,0\r\n2006-01-27,14:28:00,3678.00,3679.00,3678.00,3678.00,559,0\r\n2006-01-27,14:29:00,3679.00,3679.00,3679.00,3679.00,5,0\r\n2006-01-27,14:30:00,3679.00,3680.00,3678.00,3679.00,939,0\r\n2006-01-27,14:31:00,3679.00,3679.00,3667.00,3669.00,13775,0\r\n2006-01-27,14:32:00,3668.00,3673.00,3667.00,3673.00,4999,0\r\n2006-01-27,14:33:00,3673.00,3674.00,3671.00,3672.00,3979,0\r\n2006-01-27,14:34:00,3672.00,3673.00,3669.00,3670.00,2673,0\r\n2006-01-27,14:35:00,3670.00,3673.00,3670.00,3671.00,2424,0\r\n2006-01-27,14:36:00,3671.00,3671.00,3669.00,3669.00,2496,0\r\n2006-01-27,14:37:00,3670.00,3670.00,3663.00,3663.00,7632,0\r\n2006-01-27,14:38:00,3663.00,3665.00,3660.00,3662.00,5613,0\r\n2006-01-27,14:39:00,3662.00,3664.00,3661.00,3662.00,4287,0\r\n2006-01-27,14:40:00,3662.00,3662.00,3659.00,3660.00,2570,0\r\n2006-01-27,14:41:00,3660.00,3664.00,3660.00,3664.00,3640,0\r\n2006-01-27,14:42:00,3663.00,3668.00,3663.00,3668.00,4347,0\r\n2006-01-27,14:43:00,3668.00,3669.00,3667.00,3667.00,2913,0\r\n2006-01-27,14:44:00,3668.00,3671.00,3667.00,3670.00,4359,0\r\n2006-01-27,14:45:00,3669.00,3671.00,3669.00,3669.00,2466,0\r\n2006-01-27,14:46:00,3669.00,3669.00,3666.00,3667.00,1490,0\r\n2006-01-27,14:47:00,3667.00,3667.00,3666.00,3667.00,828,0\r\n2006-01-27,14:48:00,3667.00,3668.00,3665.00,3668.00,1053,0\r\n2006-01-27,14:49:00,3668.00,3668.00,3667.00,3668.00,1101,0\r\n2006-01-27,14:50:00,3668.00,3668.00,3667.00,3668.00,460,0\r\n2006-01-27,14:51:00,3667.00,3668.00,3666.00,3667.00,765,0\r\n2006-01-27,14:52:00,3667.00,3668.00,3667.00,3668.00,611,0\r\n2006-01-27,14:53:00,3668.00,3669.00,3666.00,3667.00,727,0\r\n2006-01-27,14:54:00,3666.00,3667.00,3666.00,3666.00,1019,0\r\n2006-01-27,14:55:00,3665.00,3667.00,3665.00,3667.00,1355,0\r\n2006-01-27,14:56:00,3667.00,3667.00,3666.00,3667.00,634,0\r\n2006-01-27,14:57:00,3666.00,3666.00,3664.00,3664.00,793,0\r\n2006-01-27,14:58:00,3664.00,3664.00,3660.00,3662.00,2440,0\r\n2006-01-27,14:59:00,3662.00,3664.00,3661.00,3661.00,1675,0\r\n2006-01-27,15:00:00,3661.00,3663.00,3661.00,3662.00,3502,0\r\n2006-01-27,15:01:00,3662.00,3663.00,3661.00,3662.00,1445,0\r\n2006-01-27,15:02:00,3662.00,3662.00,3660.00,3661.00,2404,0\r\n2006-01-27,15:03:00,3661.00,3662.00,3661.00,3662.00,716,0\r\n2006-01-27,15:04:00,3661.00,3662.00,3661.00,3661.00,1231,0\r\n2006-01-27,15:05:00,3662.00,3663.00,3662.00,3663.00,875,0\r\n2006-01-27,15:06:00,3663.00,3664.00,3663.00,3664.00,2003,0\r\n2006-01-27,15:07:00,3664.00,3666.00,3663.00,3666.00,1306,0\r\n2006-01-27,15:08:00,3666.00,3666.00,3664.00,3666.00,523,0\r\n2006-01-27,15:09:00,3665.00,3666.00,3665.00,3665.00,641,0\r\n2006-01-27,15:10:00,3665.00,3665.00,3663.00,3664.00,926,0\r\n2006-01-27,15:11:00,3664.00,3665.00,3664.00,3665.00,552,0\r\n2006-01-27,15:12:00,3664.00,3666.00,3664.00,3665.00,819,0\r\n2006-01-27,15:13:00,3665.00,3668.00,3665.00,3667.00,1119,0\r\n2006-01-27,15:14:00,3667.00,3668.00,3667.00,3668.00,559,0\r\n2006-01-27,15:15:00,3668.00,3668.00,3667.00,3668.00,588,0\r\n2006-01-27,15:16:00,3668.00,3670.00,3668.00,3670.00,3959,0\r\n2006-01-27,15:17:00,3671.00,3671.00,3669.00,3670.00,1644,0\r\n2006-01-27,15:18:00,3670.00,3670.00,3668.00,3670.00,662,0\r\n2006-01-27,15:19:00,3669.00,3670.00,3668.00,3668.00,523,0\r\n2006-01-27,15:20:00,3668.00,3669.00,3667.00,3668.00,513,0\r\n2006-01-27,15:21:00,3668.00,3668.00,3667.00,3667.00,1383,0\r\n2006-01-27,15:22:00,3667.00,3669.00,3667.00,3669.00,805,0\r\n2006-01-27,15:23:00,3669.00,3670.00,3669.00,3670.00,1054,0\r\n2006-01-27,15:24:00,3669.00,3670.00,3669.00,3669.00,1133,0\r\n2006-01-27,15:25:00,3669.00,3670.00,3669.00,3669.00,1065,0\r\n2006-01-27,15:26:00,3669.00,3671.00,3669.00,3671.00,292,0\r\n2006-01-27,15:27:00,3671.00,3674.00,3671.00,3673.00,2812,0\r\n2006-01-27,15:28:00,3673.00,3674.00,3673.00,3673.00,1808,0\r\n2006-01-27,15:29:00,3673.00,3673.00,3672.00,3673.00,708,0\r\n2006-01-27,15:30:00,3673.00,3673.00,3672.00,3673.00,593,0\r\n2006-01-27,15:31:00,3672.00,3674.00,3672.00,3674.00,387,0\r\n2006-01-27,15:32:00,3673.00,3677.00,3673.00,3676.00,2659,0\r\n2006-01-27,15:33:00,3677.00,3679.00,3677.00,3679.00,2636,0\r\n2006-01-27,15:34:00,3678.00,3678.00,3675.00,3675.00,2756,0\r\n2006-01-27,15:35:00,3675.00,3676.00,3672.00,3673.00,1534,0\r\n2006-01-27,15:36:00,3672.00,3673.00,3671.00,3671.00,1679,0\r\n2006-01-27,15:37:00,3671.00,3671.00,3669.00,3670.00,1940,0\r\n2006-01-27,15:38:00,3670.00,3671.00,3669.00,3671.00,1032,0\r\n2006-01-27,15:39:00,3670.00,3672.00,3669.00,3672.00,1787,0\r\n2006-01-27,15:40:00,3672.00,3672.00,3671.00,3671.00,2238,0\r\n2006-01-27,15:41:00,3670.00,3672.00,3670.00,3671.00,1451,0\r\n2006-01-27,15:42:00,3672.00,3673.00,3672.00,3672.00,648,0\r\n2006-01-27,15:43:00,3673.00,3674.00,3672.00,3673.00,2002,0\r\n2006-01-27,15:44:00,3673.00,3675.00,3672.00,3675.00,1226,0\r\n2006-01-27,15:45:00,3674.00,3675.00,3673.00,3674.00,766,0\r\n2006-01-27,15:46:00,3673.00,3676.00,3673.00,3675.00,2467,0\r\n2006-01-27,15:47:00,3675.00,3676.00,3674.00,3676.00,1944,0\r\n2006-01-27,15:48:00,3675.00,3676.00,3672.00,3672.00,3057,0\r\n2006-01-27,15:49:00,3673.00,3674.00,3672.00,3673.00,1464,0\r\n2006-01-27,15:50:00,3673.00,3675.00,3672.00,3673.00,5679,0\r\n2006-01-27,15:51:00,3673.00,3675.00,3673.00,3674.00,1250,0\r\n2006-01-27,15:52:00,3674.00,3674.00,3671.00,3671.00,1285,0\r\n2006-01-27,15:53:00,3671.00,3673.00,3670.00,3672.00,1355,0\r\n2006-01-27,15:54:00,3671.00,3672.00,3670.00,3672.00,1214,0\r\n2006-01-27,15:55:00,3672.00,3674.00,3672.00,3674.00,680,0\r\n2006-01-27,15:56:00,3673.00,3674.00,3673.00,3674.00,900,0\r\n2006-01-27,15:57:00,3674.00,3675.00,3674.00,3674.00,1002,0\r\n2006-01-27,15:58:00,3674.00,3676.00,3674.00,3675.00,2417,0\r\n2006-01-27,15:59:00,3674.00,3676.00,3674.00,3675.00,741,0\r\n2006-01-27,16:00:00,3675.00,3675.00,3674.00,3675.00,242,0\r\n2006-01-27,16:01:00,3675.00,3677.00,3674.00,3677.00,1575,0\r\n2006-01-27,16:02:00,3677.00,3681.00,3677.00,3680.00,5201,0\r\n2006-01-27,16:03:00,3680.00,3681.00,3679.00,3681.00,2510,0\r\n2006-01-27,16:04:00,3681.00,3684.00,3680.00,3684.00,4370,0\r\n2006-01-27,16:05:00,3684.00,3685.00,3682.00,3684.00,3060,0\r\n2006-01-27,16:06:00,3684.00,3689.00,3684.00,3689.00,4478,0\r\n2006-01-27,16:07:00,3689.00,3692.00,3688.00,3690.00,7071,0\r\n2006-01-27,16:08:00,3689.00,3690.00,3688.00,3688.00,2124,0\r\n2006-01-27,16:09:00,3688.00,3688.00,3686.00,3686.00,3029,0\r\n2006-01-27,16:10:00,3685.00,3686.00,3684.00,3686.00,2867,0\r\n2006-01-27,16:11:00,3686.00,3687.00,3685.00,3686.00,1903,0\r\n2006-01-27,16:12:00,3686.00,3688.00,3686.00,3687.00,1504,0\r\n2006-01-27,16:13:00,3687.00,3687.00,3686.00,3687.00,897,0\r\n2006-01-27,16:14:00,3686.00,3689.00,3685.00,3688.00,2585,0\r\n2006-01-27,16:15:00,3687.00,3687.00,3684.00,3686.00,1876,0\r\n2006-01-27,16:16:00,3685.00,3688.00,3684.00,3688.00,3080,0\r\n2006-01-27,16:17:00,3688.00,3692.00,3688.00,3689.00,5605,0\r\n2006-01-27,16:18:00,3689.00,3690.00,3688.00,3690.00,2179,0\r\n2006-01-27,16:19:00,3690.00,3691.00,3687.00,3688.00,2186,0\r\n2006-01-27,16:20:00,3688.00,3690.00,3688.00,3689.00,1942,0\r\n2006-01-27,16:21:00,3689.00,3689.00,3687.00,3688.00,1714,0\r\n2006-01-27,16:22:00,3688.00,3689.00,3687.00,3689.00,2358,0\r\n2006-01-27,16:23:00,3688.00,3689.00,3686.00,3687.00,1529,0\r\n2006-01-27,16:24:00,3686.00,3687.00,3686.00,3686.00,1599,0\r\n2006-01-27,16:25:00,3686.00,3688.00,3686.00,3688.00,1399,0\r\n2006-01-27,16:26:00,3688.00,3689.00,3687.00,3687.00,1250,0\r\n2006-01-27,16:27:00,3688.00,3691.00,3687.00,3688.00,3480,0\r\n2006-01-27,16:28:00,3687.00,3688.00,3687.00,3687.00,1050,0\r\n2006-01-27,16:29:00,3687.00,3687.00,3686.00,3686.00,2932,0\r\n2006-01-27,16:30:00,3687.00,3689.00,3686.00,3688.00,402,0\r\n2006-01-27,16:31:00,3689.00,3689.00,3686.00,3686.00,769,0\r\n2006-01-27,16:32:00,3686.00,3687.00,3683.00,3683.00,2684,0\r\n2006-01-27,16:33:00,3683.00,3685.00,3683.00,3684.00,2113,0\r\n2006-01-27,16:34:00,3685.00,3685.00,3683.00,3683.00,735,0\r\n2006-01-27,16:35:00,3683.00,3684.00,3683.00,3684.00,1643,0\r\n2006-01-27,16:36:00,3683.00,3685.00,3683.00,3685.00,1438,0\r\n2006-01-27,16:37:00,3685.00,3687.00,3684.00,3685.00,1850,0\r\n2006-01-27,16:38:00,3685.00,3685.00,3682.00,3683.00,1668,0\r\n2006-01-27,16:39:00,3683.00,3684.00,3683.00,3684.00,617,0\r\n2006-01-27,16:40:00,3683.00,3685.00,3683.00,3684.00,1504,0\r\n2006-01-27,16:41:00,3685.00,3687.00,3685.00,3687.00,1462,0\r\n2006-01-27,16:42:00,3687.00,3689.00,3687.00,3689.00,1181,0\r\n2006-01-27,16:43:00,3689.00,3690.00,3688.00,3690.00,1586,0\r\n2006-01-27,16:44:00,3689.00,3689.00,3687.00,3687.00,1120,0\r\n2006-01-27,16:45:00,3688.00,3690.00,3687.00,3690.00,1569,0\r\n2006-01-27,16:46:00,3690.00,3691.00,3688.00,3688.00,1458,0\r\n2006-01-27,16:47:00,3688.00,3689.00,3688.00,3688.00,1023,0\r\n2006-01-27,16:48:00,3687.00,3688.00,3686.00,3686.00,1009,0\r\n2006-01-27,16:49:00,3686.00,3687.00,3686.00,3686.00,584,0\r\n2006-01-27,16:50:00,3685.00,3688.00,3685.00,3688.00,1345,0\r\n2006-01-27,16:51:00,3688.00,3690.00,3687.00,3688.00,1539,0\r\n2006-01-27,16:52:00,3689.00,3690.00,3687.00,3688.00,1095,0\r\n2006-01-27,16:53:00,3689.00,3690.00,3688.00,3689.00,945,0\r\n2006-01-27,16:54:00,3689.00,3690.00,3688.00,3689.00,1710,0\r\n2006-01-27,16:55:00,3689.00,3690.00,3689.00,3689.00,377,0\r\n2006-01-27,16:56:00,3689.00,3690.00,3688.00,3689.00,1716,0\r\n2006-01-27,16:57:00,3689.00,3691.00,3688.00,3690.00,1312,0\r\n2006-01-27,16:58:00,3690.00,3693.00,3690.00,3692.00,3071,0\r\n2006-01-27,16:59:00,3692.00,3692.00,3690.00,3690.00,708,0\r\n2006-01-27,17:00:00,3690.00,3690.00,3688.00,3689.00,2327,0\r\n2006-01-27,17:01:00,3689.00,3689.00,3688.00,3688.00,1571,0\r\n2006-01-27,17:02:00,3688.00,3688.00,3687.00,3688.00,1502,0\r\n2006-01-27,17:03:00,3687.00,3687.00,3686.00,3687.00,875,0\r\n2006-01-27,17:04:00,3687.00,3687.00,3686.00,3687.00,650,0\r\n2006-01-27,17:05:00,3688.00,3689.00,3688.00,3689.00,480,0\r\n2006-01-27,17:06:00,3689.00,3690.00,3689.00,3690.00,1689,0\r\n2006-01-27,17:07:00,3690.00,3691.00,3689.00,3690.00,803,0\r\n2006-01-27,17:08:00,3689.00,3691.00,3689.00,3690.00,1154,0\r\n2006-01-27,17:09:00,3690.00,3691.00,3689.00,3689.00,563,0\r\n2006-01-27,17:10:00,3689.00,3690.00,3689.00,3690.00,523,0\r\n2006-01-27,17:11:00,3689.00,3690.00,3689.00,3689.00,163,0\r\n2006-01-27,17:12:00,3690.00,3690.00,3688.00,3689.00,1746,0\r\n2006-01-27,17:13:00,3688.00,3691.00,3688.00,3689.00,3555,0\r\n2006-01-27,17:14:00,3689.00,3689.00,3688.00,3689.00,1972,0\r\n2006-01-27,17:15:00,3688.00,3690.00,3688.00,3689.00,452,0\r\n2006-01-27,17:16:00,3689.00,3691.00,3688.00,3691.00,974,0\r\n2006-01-27,17:17:00,3691.00,3691.00,3690.00,3691.00,1366,0\r\n2006-01-27,17:18:00,3691.00,3694.00,3691.00,3694.00,4559,0\r\n2006-01-27,17:19:00,3694.00,3695.00,3693.00,3694.00,3939,0\r\n2006-01-27,17:20:00,3694.00,3694.00,3693.00,3694.00,2057,0\r\n2006-01-27,17:21:00,3694.00,3694.00,3692.00,3693.00,2093,0\r\n2006-01-27,17:22:00,3693.00,3694.00,3692.00,3693.00,1378,0\r\n2006-01-27,17:23:00,3693.00,3694.00,3692.00,3693.00,1155,0\r\n2006-01-27,17:24:00,3693.00,3694.00,3691.00,3692.00,1757,0\r\n2006-01-27,17:25:00,3692.00,3692.00,3691.00,3692.00,1332,0\r\n2006-01-27,17:26:00,3692.00,3693.00,3691.00,3691.00,1671,0\r\n2006-01-27,17:27:00,3692.00,3692.00,3691.00,3692.00,3388,0\r\n2006-01-27,17:28:00,3692.00,3693.00,3691.00,3692.00,1228,0\r\n2006-01-27,17:29:00,3692.00,3693.00,3692.00,3693.00,2606,0\r\n2006-01-27,17:30:00,3693.00,3694.00,3692.00,3693.00,4369,0\r\n2006-01-27,17:31:00,3693.00,3694.00,3692.00,3693.00,3741,0\r\n2006-01-27,17:32:00,3693.00,3694.00,3692.00,3693.00,2049,0\r\n2006-01-27,17:33:00,3693.00,3693.00,3691.00,3692.00,1518,0\r\n2006-01-27,17:34:00,3692.00,3693.00,3691.00,3692.00,1947,0\r\n2006-01-27,17:35:00,3692.00,3692.00,3691.00,3691.00,4335,0\r\n2006-01-27,17:36:00,3691.00,3692.00,3690.00,3692.00,1323,0\r\n2006-01-27,17:37:00,3692.00,3692.00,3691.00,3692.00,551,0\r\n2006-01-27,17:38:00,3691.00,3693.00,3691.00,3692.00,1344,0\r\n2006-01-27,17:39:00,3692.00,3692.00,3691.00,3692.00,284,0\r\n2006-01-27,17:40:00,3692.00,3692.00,3691.00,3692.00,301,0\r\n2006-01-27,17:41:00,3692.00,3692.00,3689.00,3689.00,1212,0\r\n2006-01-27,17:42:00,3689.00,3690.00,3689.00,3689.00,885,0\r\n2006-01-27,17:43:00,3689.00,3690.00,3688.00,3688.00,1701,0\r\n2006-01-27,17:44:00,3688.00,3688.00,3687.00,3687.00,1633,0\r\n2006-01-27,17:45:00,3687.00,3688.00,3687.00,3688.00,507,0\r\n2006-01-27,17:46:00,3688.00,3688.00,3687.00,3687.00,1441,0\r\n2006-01-27,17:47:00,3688.00,3689.00,3687.00,3688.00,3231,0\r\n2006-01-27,17:48:00,3688.00,3688.00,3687.00,3688.00,673,0\r\n2006-01-27,17:49:00,3688.00,3690.00,3688.00,3689.00,375,0\r\n2006-01-27,17:50:00,3690.00,3691.00,3689.00,3690.00,437,0\r\n2006-01-27,17:51:00,3690.00,3691.00,3690.00,3690.00,935,0\r\n2006-01-27,17:52:00,3691.00,3691.00,3690.00,3691.00,386,0\r\n2006-01-27,17:53:00,3691.00,3693.00,3691.00,3692.00,1140,0\r\n2006-01-27,17:54:00,3692.00,3694.00,3692.00,3694.00,892,0\r\n2006-01-27,17:55:00,3693.00,3694.00,3693.00,3693.00,918,0\r\n2006-01-27,17:56:00,3693.00,3694.00,3693.00,3693.00,722,0\r\n2006-01-27,17:57:00,3693.00,3693.00,3692.00,3693.00,433,0\r\n2006-01-27,17:58:00,3692.00,3692.00,3691.00,3691.00,675,0\r\n2006-01-27,17:59:00,3692.00,3692.00,3691.00,3692.00,31,0\r\n2006-01-27,18:00:00,3692.00,3692.00,3690.00,3692.00,748,0\r\n2006-01-27,18:01:00,3692.00,3692.00,3692.00,3692.00,572,0\r\n2006-01-27,18:02:00,3692.00,3693.00,3692.00,3692.00,203,0\r\n2006-01-27,18:03:00,3692.00,3692.00,3691.00,3691.00,1007,0\r\n2006-01-27,18:04:00,3691.00,3692.00,3691.00,3692.00,564,0\r\n2006-01-27,18:05:00,3691.00,3691.00,3690.00,3691.00,639,0\r\n2006-01-27,18:06:00,3691.00,3691.00,3690.00,3690.00,236,0\r\n2006-01-27,18:07:00,3690.00,3691.00,3690.00,3691.00,257,0\r\n2006-01-27,18:08:00,3692.00,3692.00,3691.00,3692.00,160,0\r\n2006-01-27,18:09:00,3691.00,3691.00,3691.00,3691.00,121,0\r\n2006-01-27,18:10:00,3692.00,3693.00,3691.00,3692.00,225,0\r\n2006-01-27,18:11:00,3692.00,3692.00,3691.00,3691.00,613,0\r\n2006-01-27,18:12:00,3691.00,3692.00,3690.00,3690.00,169,0\r\n2006-01-27,18:13:00,3690.00,3691.00,3690.00,3690.00,116,0\r\n2006-01-27,18:14:00,3691.00,3691.00,3690.00,3691.00,223,0\r\n2006-01-27,18:15:00,3691.00,3691.00,3690.00,3691.00,363,0\r\n2006-01-27,18:16:00,3691.00,3692.00,3691.00,3692.00,306,0\r\n2006-01-27,18:17:00,3691.00,3692.00,3691.00,3691.00,173,0\r\n2006-01-27,18:18:00,3692.00,3692.00,3691.00,3691.00,51,0\r\n2006-01-27,18:19:00,3692.00,3692.00,3691.00,3692.00,237,0\r\n2006-01-27,18:20:00,3691.00,3692.00,3691.00,3692.00,658,0\r\n2006-01-27,18:21:00,3692.00,3694.00,3692.00,3693.00,581,0\r\n2006-01-27,18:22:00,3693.00,3694.00,3693.00,3694.00,583,0\r\n2006-01-27,18:23:00,3693.00,3694.00,3692.00,3692.00,217,0\r\n2006-01-27,18:24:00,3693.00,3693.00,3692.00,3692.00,246,0\r\n2006-01-27,18:25:00,3692.00,3692.00,3691.00,3691.00,654,0\r\n2006-01-27,18:26:00,3691.00,3692.00,3690.00,3691.00,400,0\r\n2006-01-27,18:27:00,3691.00,3691.00,3691.00,3691.00,472,0\r\n2006-01-27,18:28:00,3691.00,3691.00,3691.00,3691.00,50,0\r\n2006-01-27,18:29:00,3692.00,3692.00,3691.00,3692.00,202,0\r\n2006-01-27,18:30:00,3692.00,3692.00,3691.00,3691.00,57,0\r\n2006-01-27,18:31:00,3691.00,3691.00,3691.00,3691.00,269,0\r\n2006-01-27,18:32:00,3692.00,3692.00,3690.00,3690.00,254,0\r\n2006-01-27,18:33:00,3690.00,3691.00,3690.00,3690.00,180,0\r\n2006-01-27,18:34:00,3690.00,3690.00,3690.00,3690.00,323,0\r\n2006-01-27,18:35:00,3689.00,3689.00,3688.00,3688.00,628,0\r\n2006-01-27,18:36:00,3688.00,3689.00,3688.00,3688.00,541,0\r\n2006-01-27,18:37:00,3688.00,3689.00,3688.00,3688.00,141,0\r\n2006-01-27,18:38:00,3688.00,3689.00,3688.00,3689.00,508,0\r\n2006-01-27,18:39:00,3689.00,3689.00,3687.00,3688.00,366,0\r\n2006-01-27,18:40:00,3687.00,3688.00,3687.00,3688.00,95,0\r\n2006-01-27,18:41:00,3687.00,3688.00,3687.00,3688.00,367,0\r\n2006-01-27,18:42:00,3687.00,3687.00,3686.00,3687.00,279,0\r\n2006-01-27,18:43:00,3687.00,3687.00,3687.00,3687.00,100,0\r\n2006-01-27,18:44:00,3687.00,3688.00,3686.00,3688.00,136,0\r\n2006-01-27,18:45:00,3687.00,3687.00,3686.00,3687.00,307,0\r\n2006-01-27,18:46:00,3687.00,3687.00,3687.00,3687.00,171,0\r\n2006-01-27,18:47:00,3687.00,3687.00,3686.00,3687.00,107,0\r\n2006-01-27,18:48:00,3687.00,3687.00,3686.00,3687.00,48,0\r\n2006-01-27,18:49:00,3687.00,3687.00,3686.00,3687.00,148,0\r\n2006-01-27,18:50:00,3686.00,3687.00,3686.00,3687.00,52,0\r\n2006-01-27,18:51:00,3686.00,3687.00,3686.00,3687.00,117,0\r\n2006-01-27,18:52:00,3686.00,3686.00,3686.00,3686.00,94,0\r\n2006-01-27,18:53:00,3686.00,3687.00,3686.00,3687.00,373,0\r\n2006-01-27,18:54:00,3687.00,3687.00,3687.00,3687.00,546,0\r\n2006-01-27,18:55:00,3687.00,3687.00,3686.00,3687.00,104,0\r\n2006-01-27,18:56:00,3686.00,3687.00,3686.00,3687.00,101,0\r\n2006-01-27,18:57:00,3686.00,3687.00,3686.00,3686.00,474,0\r\n2006-01-27,18:58:00,3686.00,3686.00,3685.00,3685.00,1099,0\r\n2006-01-27,18:59:00,3685.00,3685.00,3684.00,3685.00,296,0\r\n2006-01-27,19:00:00,3684.00,3685.00,3684.00,3685.00,846,0\r\n2006-01-27,19:01:00,3685.00,3685.00,3685.00,3685.00,67,0\r\n2006-01-27,19:02:00,3685.00,3685.00,3684.00,3685.00,85,0\r\n2006-01-27,19:03:00,3685.00,3685.00,3681.00,3682.00,1338,0\r\n2006-01-27,19:04:00,3681.00,3682.00,3681.00,3682.00,1310,0\r\n2006-01-27,19:05:00,3682.00,3682.00,3681.00,3681.00,283,0\r\n2006-01-27,19:06:00,3681.00,3683.00,3681.00,3682.00,404,0\r\n2006-01-27,19:07:00,3682.00,3682.00,3681.00,3681.00,285,0\r\n2006-01-27,19:08:00,3681.00,3681.00,3677.00,3678.00,1981,0\r\n2006-01-27,19:09:00,3679.00,3679.00,3678.00,3679.00,217,0\r\n2006-01-27,19:10:00,3679.00,3679.00,3679.00,3679.00,145,0\r\n2006-01-27,19:11:00,3679.00,3680.00,3679.00,3680.00,531,0\r\n2006-01-27,19:12:00,3680.00,3680.00,3680.00,3680.00,187,0\r\n2006-01-27,19:13:00,3680.00,3680.00,3679.00,3680.00,143,0\r\n2006-01-27,19:14:00,3679.00,3679.00,3678.00,3678.00,178,0\r\n2006-01-27,19:15:00,3678.00,3678.00,3677.00,3678.00,97,0\r\n2006-01-27,19:16:00,3678.00,3679.00,3678.00,3678.00,131,0\r\n2006-01-27,19:17:00,3678.00,3678.00,3677.00,3677.00,86,0\r\n2006-01-27,19:18:00,3678.00,3678.00,3678.00,3678.00,6,0\r\n2006-01-27,19:19:00,3678.00,3679.00,3678.00,3678.00,61,0\r\n2006-01-27,19:20:00,3678.00,3678.00,3677.00,3678.00,98,0\r\n2006-01-27,19:21:00,3678.00,3678.00,3678.00,3678.00,18,0\r\n2006-01-27,19:22:00,3677.00,3679.00,3677.00,3679.00,428,0\r\n2006-01-27,19:23:00,3679.00,3682.00,3679.00,3682.00,221,0\r\n2006-01-27,19:24:00,3682.00,3682.00,3681.00,3681.00,109,0\r\n2006-01-27,19:25:00,3681.00,3681.00,3679.00,3680.00,98,0\r\n2006-01-27,19:26:00,3680.00,3680.00,3680.00,3680.00,20,0\r\n2006-01-27,19:27:00,3680.00,3681.00,3679.00,3680.00,23,0\r\n2006-01-27,19:28:00,3680.00,3680.00,3680.00,3680.00,32,0\r\n2006-01-27,19:30:00,3680.00,3680.00,3680.00,3680.00,39,0\r\n2006-01-27,19:31:00,3681.00,3682.00,3680.00,3682.00,542,0\r\n2006-01-27,19:32:00,3682.00,3682.00,3681.00,3682.00,441,0\r\n2006-01-27,19:33:00,3681.00,3681.00,3680.00,3680.00,117,0\r\n2006-01-27,19:34:00,3680.00,3680.00,3680.00,3680.00,49,0\r\n2006-01-27,19:35:00,3680.00,3680.00,3679.00,3679.00,21,0\r\n2006-01-27,19:36:00,3679.00,3679.00,3677.00,3678.00,148,0\r\n2006-01-27,19:37:00,3677.00,3678.00,3677.00,3678.00,403,0\r\n2006-01-27,19:38:00,3678.00,3679.00,3678.00,3678.00,110,0\r\n2006-01-27,19:39:00,3678.00,3678.00,3677.00,3677.00,142,0\r\n2006-01-27,19:40:00,3677.00,3677.00,3677.00,3677.00,234,0\r\n2006-01-27,19:41:00,3677.00,3678.00,3677.00,3677.00,113,0\r\n2006-01-27,19:42:00,3677.00,3677.00,3676.00,3677.00,59,0\r\n2006-01-27,19:43:00,3677.00,3677.00,3677.00,3677.00,145,0\r\n2006-01-27,19:44:00,3677.00,3677.00,3676.00,3677.00,269,0\r\n2006-01-27,19:45:00,3677.00,3678.00,3676.00,3678.00,384,0\r\n2006-01-27,19:46:00,3678.00,3678.00,3677.00,3678.00,461,0\r\n2006-01-27,19:47:00,3677.00,3678.00,3677.00,3677.00,117,0\r\n2006-01-27,19:48:00,3677.00,3677.00,3676.00,3677.00,49,0\r\n2006-01-27,19:49:00,3677.00,3677.00,3677.00,3677.00,50,0\r\n2006-01-27,19:50:00,3677.00,3677.00,3677.00,3677.00,21,0\r\n2006-01-27,19:51:00,3677.00,3678.00,3677.00,3678.00,148,0\r\n2006-01-27,19:52:00,3677.00,3679.00,3677.00,3679.00,255,0\r\n2006-01-27,19:53:00,3679.00,3680.00,3678.00,3678.00,460,0\r\n2006-01-27,19:54:00,3679.00,3679.00,3679.00,3679.00,12,0\r\n2006-01-27,19:55:00,3679.00,3679.00,3679.00,3679.00,20,0\r\n2006-01-27,19:56:00,3679.00,3679.00,3679.00,3679.00,7,0\r\n2006-01-27,19:57:00,3678.00,3678.00,3678.00,3678.00,7,0\r\n2006-01-27,19:58:00,3678.00,3678.00,3678.00,3678.00,129,0\r\n2006-01-27,19:59:00,3678.00,3678.00,3677.00,3677.00,226,0\r\n2006-01-27,20:00:00,3677.00,3677.00,3677.00,3677.00,15,0\r\n2006-01-27,20:01:00,3676.00,3678.00,3676.00,3678.00,405,0\r\n2006-01-27,20:02:00,3678.00,3678.00,3678.00,3678.00,137,0\r\n2006-01-27,20:03:00,3679.00,3680.00,3679.00,3680.00,188,0\r\n2006-01-27,20:04:00,3680.00,3680.00,3680.00,3680.00,121,0\r\n2006-01-27,20:05:00,3680.00,3681.00,3680.00,3681.00,120,0\r\n2006-01-27,20:07:00,3680.00,3680.00,3680.00,3680.00,3,0\r\n2006-01-27,20:08:00,3680.00,3680.00,3680.00,3680.00,11,0\r\n2006-01-27,20:09:00,3679.00,3679.00,3679.00,3679.00,13,0\r\n2006-01-27,20:10:00,3679.00,3679.00,3679.00,3679.00,52,0\r\n2006-01-27,20:11:00,3679.00,3679.00,3679.00,3679.00,47,0\r\n2006-01-27,20:12:00,3680.00,3680.00,3680.00,3680.00,1,0\r\n2006-01-27,20:13:00,3680.00,3680.00,3680.00,3680.00,4,0\r\n2006-01-27,20:14:00,3679.00,3679.00,3679.00,3679.00,16,0\r\n2006-01-27,20:15:00,3679.00,3679.00,3678.00,3678.00,46,0\r\n2006-01-27,20:16:00,3678.00,3678.00,3677.00,3678.00,60,0\r\n2006-01-27,20:17:00,3679.00,3679.00,3679.00,3679.00,8,0\r\n2006-01-27,20:18:00,3679.00,3680.00,3679.00,3680.00,68,0\r\n2006-01-27,20:19:00,3679.00,3679.00,3679.00,3679.00,38,0\r\n2006-01-27,20:20:00,3679.00,3679.00,3679.00,3679.00,30,0\r\n2006-01-27,20:21:00,3679.00,3679.00,3679.00,3679.00,73,0\r\n2006-01-27,20:22:00,3680.00,3682.00,3680.00,3682.00,400,0\r\n2006-01-27,20:23:00,3682.00,3683.00,3682.00,3682.00,69,0\r\n2006-01-27,20:24:00,3683.00,3684.00,3683.00,3683.00,79,0\r\n2006-01-27,20:25:00,3684.00,3684.00,3683.00,3683.00,83,0\r\n2006-01-27,20:26:00,3683.00,3683.00,3683.00,3683.00,7,0\r\n2006-01-27,20:27:00,3683.00,3683.00,3683.00,3683.00,148,0\r\n2006-01-27,20:28:00,3683.00,3683.00,3683.00,3683.00,31,0\r\n2006-01-27,20:29:00,3683.00,3683.00,3683.00,3683.00,5,0\r\n2006-01-27,20:30:00,3683.00,3684.00,3683.00,3684.00,37,0\r\n2006-01-27,20:31:00,3683.00,3683.00,3683.00,3683.00,35,0\r\n2006-01-27,20:32:00,3683.00,3683.00,3683.00,3683.00,6,0\r\n2006-01-27,20:33:00,3683.00,3683.00,3682.00,3682.00,3,0\r\n2006-01-27,20:34:00,3682.00,3683.00,3682.00,3683.00,8,0\r\n2006-01-27,20:35:00,3682.00,3682.00,3682.00,3682.00,9,0\r\n2006-01-27,20:36:00,3681.00,3681.00,3679.00,3679.00,35,0\r\n2006-01-27,20:37:00,3679.00,3679.00,3677.00,3677.00,207,0\r\n2006-01-27,20:38:00,3678.00,3678.00,3677.00,3677.00,22,0\r\n2006-01-27,20:39:00,3678.00,3678.00,3676.00,3676.00,212,0\r\n2006-01-27,20:40:00,3675.00,3676.00,3675.00,3676.00,67,0\r\n2006-01-27,20:41:00,3676.00,3676.00,3676.00,3676.00,53,0\r\n2006-01-27,20:42:00,3676.00,3676.00,3676.00,3676.00,30,0\r\n2006-01-27,20:43:00,3676.00,3676.00,3676.00,3676.00,3,0\r\n2006-01-27,20:44:00,3676.00,3677.00,3676.00,3677.00,92,0\r\n2006-01-27,20:45:00,3677.00,3677.00,3677.00,3677.00,18,0\r\n2006-01-27,20:46:00,3677.00,3677.00,3677.00,3677.00,15,0\r\n2006-01-27,20:48:00,3676.00,3676.00,3676.00,3676.00,9,0\r\n2006-01-27,20:49:00,3676.00,3676.00,3675.00,3676.00,24,0\r\n2006-01-27,20:51:00,3676.00,3676.00,3676.00,3676.00,69,0\r\n2006-01-27,20:52:00,3675.00,3677.00,3675.00,3677.00,173,0\r\n2006-01-27,20:53:00,3677.00,3677.00,3677.00,3677.00,18,0\r\n2006-01-27,20:54:00,3677.00,3677.00,3676.00,3676.00,388,0\r\n2006-01-27,20:55:00,3676.00,3676.00,3676.00,3676.00,31,0\r\n2006-01-27,20:56:00,3676.00,3676.00,3676.00,3676.00,4,0\r\n2006-01-27,20:57:00,3677.00,3677.00,3677.00,3677.00,4,0\r\n2006-01-27,20:59:00,3676.00,3676.00,3676.00,3676.00,39,0\r\n2006-01-27,21:00:00,3676.00,3677.00,3676.00,3677.00,96,0\r\n2006-01-27,21:01:00,3678.00,3680.00,3678.00,3680.00,95,0\r\n2006-01-27,21:02:00,3679.00,3680.00,3678.00,3678.00,18,0\r\n2006-01-27,21:03:00,3678.00,3679.00,3678.00,3679.00,51,0\r\n2006-01-27,21:04:00,3678.00,3678.00,3677.00,3677.00,25,0\r\n2006-01-27,21:06:00,3677.00,3678.00,3677.00,3678.00,160,0\r\n2006-01-27,21:07:00,3677.00,3677.00,3677.00,3677.00,122,0\r\n2006-01-27,21:08:00,3677.00,3677.00,3677.00,3677.00,53,0\r\n2006-01-27,21:09:00,3678.00,3678.00,3678.00,3678.00,35,0\r\n2006-01-27,21:10:00,3677.00,3677.00,3677.00,3677.00,222,0\r\n2006-01-27,21:11:00,3678.00,3678.00,3678.00,3678.00,21,0\r\n2006-01-27,21:12:00,3677.00,3677.00,3677.00,3677.00,2,0\r\n2006-01-27,21:13:00,3678.00,3679.00,3678.00,3678.00,39,0\r\n2006-01-27,21:14:00,3678.00,3679.00,3678.00,3679.00,10,0\r\n2006-01-27,21:15:00,3679.00,3679.00,3678.00,3678.00,9,0\r\n2006-01-27,21:16:00,3679.00,3680.00,3679.00,3680.00,218,0\r\n2006-01-27,21:17:00,3681.00,3682.00,3680.00,3681.00,65,0\r\n2006-01-27,21:18:00,3680.00,3681.00,3680.00,3681.00,75,0\r\n2006-01-27,21:19:00,3681.00,3682.00,3681.00,3682.00,76,0\r\n2006-01-27,21:20:00,3681.00,3681.00,3680.00,3680.00,65,0\r\n2006-01-27,21:21:00,3680.00,3680.00,3680.00,3680.00,15,0\r\n2006-01-27,21:22:00,3680.00,3680.00,3680.00,3680.00,19,0\r\n2006-01-27,21:23:00,3679.00,3681.00,3679.00,3681.00,131,0\r\n2006-01-27,21:24:00,3680.00,3680.00,3680.00,3680.00,28,0\r\n2006-01-27,21:25:00,3680.00,3680.00,3680.00,3680.00,5,0\r\n2006-01-27,21:26:00,3679.00,3679.00,3679.00,3679.00,32,0\r\n2006-01-27,21:27:00,3678.00,3679.00,3678.00,3678.00,123,0\r\n2006-01-27,21:28:00,3678.00,3679.00,3678.00,3679.00,40,0\r\n2006-01-27,21:29:00,3679.00,3679.00,3679.00,3679.00,45,0\r\n2006-01-27,21:30:00,3679.00,3679.00,3679.00,3679.00,108,0\r\n2006-01-27,21:31:00,3679.00,3679.00,3679.00,3679.00,42,0\r\n2006-01-27,21:33:00,3678.00,3679.00,3677.00,3679.00,31,0\r\n2006-01-27,21:36:00,3678.00,3678.00,3678.00,3678.00,20,0\r\n2006-01-27,21:37:00,3679.00,3679.00,3679.00,3679.00,1,0\r\n2006-01-27,21:38:00,3679.00,3680.00,3679.00,3680.00,301,0\r\n2006-01-27,21:39:00,3679.00,3679.00,3679.00,3679.00,11,0\r\n2006-01-27,21:40:00,3679.00,3679.00,3679.00,3679.00,44,0\r\n2006-01-27,21:42:00,3679.00,3679.00,3679.00,3679.00,100,0\r\n2006-01-27,21:45:00,3679.00,3679.00,3679.00,3679.00,20,0\r\n2006-01-27,21:46:00,3680.00,3680.00,3679.00,3679.00,51,0\r\n2006-01-27,21:48:00,3680.00,3680.00,3679.00,3679.00,120,0\r\n2006-01-27,21:49:00,3680.00,3680.00,3680.00,3680.00,7,0\r\n2006-01-27,21:50:00,3680.00,3680.00,3680.00,3680.00,5,0\r\n2006-01-27,21:51:00,3680.00,3680.00,3679.00,3680.00,76,0\r\n2006-01-27,21:52:00,3680.00,3680.00,3680.00,3680.00,15,0\r\n2006-01-27,21:53:00,3680.00,3680.00,3679.00,3679.00,9,0\r\n2006-01-27,21:54:00,3680.00,3680.00,3678.00,3679.00,82,0\r\n2006-01-27,21:55:00,3680.00,3680.00,3679.00,3680.00,114,0\r\n2006-01-27,21:56:00,3680.00,3681.00,3680.00,3680.00,305,0\r\n2006-01-27,21:57:00,3681.00,3683.00,3680.00,3682.00,280,0\r\n2006-01-27,21:58:00,3681.00,3683.00,3681.00,3683.00,226,0\r\n2006-01-27,21:59:00,3682.00,3682.00,3681.00,3682.00,167,0\r\n2006-01-27,22:00:00,3682.00,3685.00,3681.00,3685.00,578,0\r\n2006-01-30,09:01:00,3687.00,3687.00,3687.00,3687.00,1720,0\r\n2006-01-30,09:02:00,3687.00,3687.00,3684.00,3685.00,1674,0\r\n2006-01-30,09:03:00,3684.00,3685.00,3682.00,3683.00,2060,0\r\n2006-01-30,09:04:00,3683.00,3683.00,3683.00,3683.00,3,0\r\n2006-01-30,09:05:00,3683.00,3683.00,3683.00,3683.00,44,0\r\n2006-01-30,09:06:00,3679.00,3680.00,3679.00,3680.00,1492,0\r\n2006-01-30,09:07:00,3679.00,3680.00,3677.00,3678.00,3841,0\r\n2006-01-30,09:08:00,3678.00,3679.00,3677.00,3679.00,1822,0\r\n2006-01-30,09:09:00,3679.00,3679.00,3676.00,3677.00,2186,0\r\n2006-01-30,09:10:00,3676.00,3678.00,3675.00,3675.00,2104,0\r\n2006-01-30,09:11:00,3675.00,3675.00,3672.00,3675.00,4405,0\r\n2006-01-30,09:12:00,3676.00,3676.00,3675.00,3675.00,854,0\r\n2006-01-30,09:13:00,3675.00,3677.00,3675.00,3676.00,1194,0\r\n2006-01-30,09:14:00,3676.00,3677.00,3676.00,3676.00,201,0\r\n2006-01-30,09:15:00,3676.00,3677.00,3676.00,3676.00,942,0\r\n2006-01-30,09:16:00,3677.00,3677.00,3676.00,3677.00,168,0\r\n2006-01-30,09:17:00,3677.00,3677.00,3676.00,3677.00,1543,0\r\n2006-01-30,09:18:00,3677.00,3677.00,3675.00,3677.00,1556,0\r\n2006-01-30,09:19:00,3678.00,3678.00,3677.00,3677.00,750,0\r\n2006-01-30,09:20:00,3677.00,3679.00,3677.00,3678.00,1488,0\r\n2006-01-30,09:21:00,3678.00,3679.00,3678.00,3679.00,708,0\r\n2006-01-30,09:22:00,3679.00,3679.00,3678.00,3679.00,427,0\r\n2006-01-30,09:23:00,3679.00,3680.00,3679.00,3680.00,1028,0\r\n2006-01-30,09:24:00,3680.00,3682.00,3680.00,3682.00,1234,0\r\n2006-01-30,09:25:00,3682.00,3682.00,3681.00,3681.00,1197,0\r\n2006-01-30,09:26:00,3681.00,3682.00,3681.00,3682.00,529,0\r\n2006-01-30,09:27:00,3683.00,3685.00,3683.00,3684.00,1841,0\r\n2006-01-30,09:28:00,3684.00,3684.00,3683.00,3683.00,1060,0\r\n2006-01-30,09:29:00,3684.00,3684.00,3683.00,3684.00,630,0\r\n2006-01-30,09:30:00,3683.00,3684.00,3682.00,3683.00,721,0\r\n2006-01-30,09:31:00,3683.00,3684.00,3683.00,3684.00,1263,0\r\n2006-01-30,09:32:00,3685.00,3685.00,3683.00,3684.00,1219,0\r\n2006-01-30,09:33:00,3683.00,3683.00,3682.00,3682.00,2334,0\r\n2006-01-30,09:34:00,3682.00,3682.00,3681.00,3682.00,429,0\r\n2006-01-30,09:35:00,3682.00,3683.00,3682.00,3683.00,572,0\r\n2006-01-30,09:36:00,3682.00,3683.00,3681.00,3683.00,580,0\r\n2006-01-30,09:37:00,3682.00,3683.00,3681.00,3682.00,607,0\r\n2006-01-30,09:38:00,3682.00,3683.00,3682.00,3683.00,86,0\r\n2006-01-30,09:39:00,3683.00,3683.00,3682.00,3682.00,638,0\r\n2006-01-30,09:40:00,3682.00,3683.00,3682.00,3682.00,772,0\r\n2006-01-30,09:41:00,3682.00,3684.00,3682.00,3684.00,1253,0\r\n2006-01-30,09:42:00,3684.00,3687.00,3683.00,3687.00,1743,0\r\n2006-01-30,09:43:00,3687.00,3688.00,3686.00,3687.00,1163,0\r\n2006-01-30,09:44:00,3686.00,3687.00,3686.00,3687.00,657,0\r\n2006-01-30,09:45:00,3687.00,3688.00,3687.00,3687.00,1604,0\r\n2006-01-30,09:46:00,3687.00,3687.00,3685.00,3685.00,794,0\r\n2006-01-30,09:47:00,3685.00,3687.00,3685.00,3687.00,672,0\r\n2006-01-30,09:48:00,3687.00,3687.00,3684.00,3685.00,838,0\r\n2006-01-30,09:49:00,3685.00,3687.00,3685.00,3687.00,711,0\r\n2006-01-30,09:50:00,3686.00,3687.00,3685.00,3686.00,387,0\r\n2006-01-30,09:51:00,3686.00,3686.00,3686.00,3686.00,508,0\r\n2006-01-30,09:52:00,3686.00,3686.00,3686.00,3686.00,274,0\r\n2006-01-30,09:53:00,3686.00,3687.00,3686.00,3687.00,9,0\r\n2006-01-30,09:54:00,3686.00,3687.00,3686.00,3687.00,128,0\r\n2006-01-30,09:55:00,3687.00,3689.00,3687.00,3689.00,1874,0\r\n2006-01-30,09:56:00,3689.00,3690.00,3688.00,3689.00,968,0\r\n2006-01-30,09:57:00,3688.00,3689.00,3687.00,3689.00,853,0\r\n2006-01-30,09:58:00,3689.00,3690.00,3689.00,3690.00,445,0\r\n2006-01-30,09:59:00,3690.00,3692.00,3690.00,3691.00,2814,0\r\n2006-01-30,10:00:00,3691.00,3693.00,3691.00,3692.00,1602,0\r\n2006-01-30,10:01:00,3692.00,3692.00,3691.00,3692.00,1301,0\r\n2006-01-30,10:02:00,3692.00,3694.00,3691.00,3691.00,1957,0\r\n2006-01-30,10:03:00,3692.00,3692.00,3690.00,3691.00,1190,0\r\n2006-01-30,10:04:00,3692.00,3692.00,3691.00,3691.00,42,0\r\n2006-01-30,10:05:00,3692.00,3693.00,3692.00,3692.00,1274,0\r\n2006-01-30,10:06:00,3692.00,3692.00,3691.00,3692.00,400,0\r\n2006-01-30,10:07:00,3692.00,3693.00,3692.00,3693.00,366,0\r\n2006-01-30,10:08:00,3693.00,3693.00,3692.00,3692.00,78,0\r\n2006-01-30,10:09:00,3692.00,3694.00,3692.00,3693.00,366,0\r\n2006-01-30,10:10:00,3693.00,3696.00,3693.00,3695.00,5100,0\r\n2006-01-30,10:11:00,3695.00,3695.00,3693.00,3693.00,796,0\r\n2006-01-30,10:12:00,3693.00,3693.00,3693.00,3693.00,256,0\r\n2006-01-30,10:13:00,3693.00,3693.00,3692.00,3692.00,604,0\r\n2006-01-30,10:14:00,3692.00,3693.00,3691.00,3692.00,1545,0\r\n2006-01-30,10:15:00,3692.00,3693.00,3692.00,3692.00,874,0\r\n2006-01-30,10:16:00,3692.00,3693.00,3692.00,3693.00,34,0\r\n2006-01-30,10:17:00,3693.00,3694.00,3692.00,3693.00,1011,0\r\n2006-01-30,10:18:00,3693.00,3693.00,3692.00,3693.00,294,0\r\n2006-01-30,10:19:00,3692.00,3692.00,3691.00,3691.00,293,0\r\n2006-01-30,10:20:00,3692.00,3692.00,3692.00,3692.00,489,0\r\n2006-01-30,10:21:00,3692.00,3693.00,3692.00,3693.00,1124,0\r\n2006-01-30,10:22:00,3693.00,3693.00,3692.00,3692.00,375,0\r\n2006-01-30,10:23:00,3692.00,3693.00,3691.00,3691.00,755,0\r\n2006-01-30,10:24:00,3691.00,3692.00,3691.00,3692.00,911,0\r\n2006-01-30,10:25:00,3691.00,3692.00,3690.00,3692.00,468,0\r\n2006-01-30,10:26:00,3692.00,3694.00,3692.00,3692.00,1595,0\r\n2006-01-30,10:27:00,3693.00,3693.00,3691.00,3692.00,1083,0\r\n2006-01-30,10:28:00,3692.00,3693.00,3692.00,3692.00,667,0\r\n2006-01-30,10:29:00,3692.00,3692.00,3692.00,3692.00,782,0\r\n2006-01-30,10:30:00,3693.00,3693.00,3692.00,3692.00,115,0\r\n2006-01-30,10:31:00,3692.00,3692.00,3691.00,3692.00,857,0\r\n2006-01-30,10:32:00,3692.00,3692.00,3690.00,3690.00,885,0\r\n2006-01-30,10:33:00,3691.00,3692.00,3690.00,3692.00,808,0\r\n2006-01-30,10:34:00,3692.00,3693.00,3691.00,3693.00,916,0\r\n2006-01-30,10:35:00,3692.00,3692.00,3692.00,3692.00,421,0\r\n2006-01-30,10:36:00,3691.00,3693.00,3691.00,3692.00,637,0\r\n2006-01-30,10:37:00,3692.00,3692.00,3692.00,3692.00,649,0\r\n2006-01-30,10:38:00,3692.00,3693.00,3692.00,3692.00,283,0\r\n2006-01-30,10:39:00,3692.00,3694.00,3692.00,3693.00,983,0\r\n2006-01-30,10:40:00,3693.00,3693.00,3691.00,3691.00,969,0\r\n2006-01-30,10:41:00,3690.00,3691.00,3689.00,3689.00,790,0\r\n2006-01-30,10:42:00,3689.00,3690.00,3688.00,3688.00,1450,0\r\n2006-01-30,10:43:00,3688.00,3689.00,3686.00,3686.00,1628,0\r\n2006-01-30,10:44:00,3686.00,3687.00,3686.00,3687.00,74,0\r\n2006-01-30,10:45:00,3687.00,3687.00,3686.00,3687.00,126,0\r\n2006-01-30,10:46:00,3687.00,3687.00,3686.00,3687.00,260,0\r\n2006-01-30,10:47:00,3687.00,3687.00,3686.00,3687.00,97,0\r\n2006-01-30,10:48:00,3687.00,3687.00,3686.00,3686.00,236,0\r\n2006-01-30,10:49:00,3686.00,3686.00,3684.00,3685.00,1758,0\r\n2006-01-30,10:50:00,3686.00,3686.00,3685.00,3685.00,564,0\r\n2006-01-30,10:51:00,3686.00,3686.00,3685.00,3685.00,143,0\r\n2006-01-30,10:52:00,3685.00,3685.00,3684.00,3684.00,981,0\r\n2006-01-30,10:53:00,3684.00,3684.00,3682.00,3683.00,3537,0\r\n2006-01-30,10:54:00,3683.00,3684.00,3683.00,3683.00,218,0\r\n2006-01-30,10:55:00,3683.00,3684.00,3683.00,3684.00,130,0\r\n2006-01-30,10:56:00,3683.00,3684.00,3683.00,3684.00,114,0\r\n2006-01-30,10:57:00,3684.00,3685.00,3684.00,3685.00,515,0\r\n2006-01-30,10:58:00,3685.00,3685.00,3685.00,3685.00,493,0\r\n2006-01-30,10:59:00,3685.00,3685.00,3683.00,3683.00,626,0\r\n2006-01-30,11:00:00,3683.00,3684.00,3683.00,3684.00,616,0\r\n2006-01-30,11:01:00,3684.00,3685.00,3683.00,3684.00,344,0\r\n2006-01-30,11:02:00,3684.00,3684.00,3684.00,3684.00,48,0\r\n2006-01-30,11:03:00,3684.00,3685.00,3684.00,3684.00,510,0\r\n2006-01-30,11:04:00,3684.00,3684.00,3684.00,3684.00,104,0\r\n2006-01-30,11:05:00,3684.00,3684.00,3684.00,3684.00,61,0\r\n2006-01-30,11:06:00,3684.00,3684.00,3683.00,3683.00,28,0\r\n2006-01-30,11:07:00,3683.00,3684.00,3683.00,3683.00,22,0\r\n2006-01-30,11:08:00,3683.00,3684.00,3683.00,3684.00,223,0\r\n2006-01-30,11:09:00,3683.00,3684.00,3683.00,3683.00,444,0\r\n2006-01-30,11:10:00,3682.00,3682.00,3680.00,3680.00,1534,0\r\n2006-01-30,11:11:00,3681.00,3682.00,3681.00,3681.00,1077,0\r\n2006-01-30,11:12:00,3681.00,3681.00,3679.00,3680.00,1470,0\r\n2006-01-30,11:13:00,3680.00,3681.00,3680.00,3681.00,256,0\r\n2006-01-30,11:14:00,3680.00,3683.00,3680.00,3681.00,1939,0\r\n2006-01-30,11:15:00,3682.00,3682.00,3681.00,3682.00,182,0\r\n2006-01-30,11:16:00,3681.00,3683.00,3681.00,3683.00,927,0\r\n2006-01-30,11:17:00,3682.00,3683.00,3682.00,3682.00,415,0\r\n2006-01-30,11:18:00,3682.00,3683.00,3681.00,3681.00,457,0\r\n2006-01-30,11:19:00,3682.00,3682.00,3681.00,3682.00,158,0\r\n2006-01-30,11:20:00,3681.00,3681.00,3680.00,3681.00,1261,0\r\n2006-01-30,11:21:00,3680.00,3681.00,3680.00,3681.00,66,0\r\n2006-01-30,11:22:00,3682.00,3682.00,3681.00,3681.00,564,0\r\n2006-01-30,11:23:00,3681.00,3682.00,3681.00,3681.00,1446,0\r\n2006-01-30,11:24:00,3682.00,3682.00,3681.00,3681.00,231,0\r\n2006-01-30,11:25:00,3681.00,3682.00,3681.00,3682.00,1213,0\r\n2006-01-30,11:26:00,3682.00,3683.00,3682.00,3683.00,720,0\r\n2006-01-30,11:27:00,3683.00,3683.00,3683.00,3683.00,185,0\r\n2006-01-30,11:28:00,3682.00,3684.00,3682.00,3684.00,309,0\r\n2006-01-30,11:29:00,3684.00,3684.00,3684.00,3684.00,207,0\r\n2006-01-30,11:30:00,3684.00,3685.00,3684.00,3685.00,536,0\r\n2006-01-30,11:31:00,3685.00,3686.00,3685.00,3686.00,865,0\r\n2006-01-30,11:32:00,3685.00,3685.00,3685.00,3685.00,817,0\r\n2006-01-30,11:33:00,3686.00,3686.00,3685.00,3685.00,76,0\r\n2006-01-30,11:34:00,3685.00,3687.00,3685.00,3686.00,644,0\r\n2006-01-30,11:35:00,3685.00,3685.00,3685.00,3685.00,207,0\r\n2006-01-30,11:36:00,3685.00,3686.00,3685.00,3686.00,81,0\r\n2006-01-30,11:37:00,3686.00,3686.00,3685.00,3685.00,61,0\r\n2006-01-30,11:38:00,3685.00,3685.00,3685.00,3685.00,348,0\r\n2006-01-30,11:39:00,3684.00,3685.00,3683.00,3685.00,521,0\r\n2006-01-30,11:40:00,3685.00,3685.00,3685.00,3685.00,252,0\r\n2006-01-30,11:41:00,3685.00,3687.00,3685.00,3687.00,324,0\r\n2006-01-30,11:42:00,3686.00,3687.00,3686.00,3687.00,92,0\r\n2006-01-30,11:43:00,3686.00,3686.00,3686.00,3686.00,10,0\r\n2006-01-30,11:44:00,3687.00,3687.00,3686.00,3686.00,7,0\r\n2006-01-30,11:45:00,3687.00,3688.00,3686.00,3687.00,566,0\r\n2006-01-30,11:46:00,3687.00,3687.00,3685.00,3686.00,367,0\r\n2006-01-30,11:47:00,3686.00,3686.00,3686.00,3686.00,217,0\r\n2006-01-30,11:48:00,3686.00,3686.00,3686.00,3686.00,278,0\r\n2006-01-30,11:49:00,3686.00,3686.00,3686.00,3686.00,7,0\r\n2006-01-30,11:50:00,3686.00,3686.00,3686.00,3686.00,142,0\r\n2006-01-30,11:51:00,3686.00,3686.00,3685.00,3685.00,870,0\r\n2006-01-30,11:52:00,3685.00,3685.00,3684.00,3684.00,18,0\r\n2006-01-30,11:53:00,3685.00,3685.00,3685.00,3685.00,110,0\r\n2006-01-30,11:54:00,3685.00,3685.00,3685.00,3685.00,22,0\r\n2006-01-30,11:55:00,3684.00,3684.00,3684.00,3684.00,176,0\r\n2006-01-30,11:56:00,3684.00,3685.00,3684.00,3684.00,14,0\r\n2006-01-30,11:57:00,3685.00,3685.00,3684.00,3684.00,43,0\r\n2006-01-30,11:58:00,3685.00,3686.00,3685.00,3686.00,304,0\r\n2006-01-30,11:59:00,3686.00,3686.00,3685.00,3685.00,73,0\r\n2006-01-30,12:00:00,3685.00,3686.00,3685.00,3686.00,3,0\r\n2006-01-30,12:01:00,3686.00,3686.00,3685.00,3685.00,370,0\r\n2006-01-30,12:02:00,3685.00,3686.00,3685.00,3686.00,107,0\r\n2006-01-30,12:03:00,3685.00,3686.00,3685.00,3685.00,66,0\r\n2006-01-30,12:04:00,3685.00,3686.00,3685.00,3686.00,31,0\r\n2006-01-30,12:06:00,3685.00,3685.00,3684.00,3684.00,222,0\r\n2006-01-30,12:07:00,3684.00,3685.00,3684.00,3685.00,106,0\r\n2006-01-30,12:08:00,3685.00,3685.00,3684.00,3684.00,1175,0\r\n2006-01-30,12:09:00,3685.00,3685.00,3685.00,3685.00,2,0\r\n2006-01-30,12:10:00,3684.00,3685.00,3684.00,3685.00,22,0\r\n2006-01-30,12:11:00,3685.00,3687.00,3685.00,3687.00,685,0\r\n2006-01-30,12:12:00,3686.00,3689.00,3686.00,3688.00,1988,0\r\n2006-01-30,12:13:00,3689.00,3689.00,3687.00,3687.00,1797,0\r\n2006-01-30,12:14:00,3687.00,3688.00,3686.00,3687.00,149,0\r\n2006-01-30,12:15:00,3687.00,3688.00,3687.00,3688.00,810,0\r\n2006-01-30,12:16:00,3687.00,3687.00,3686.00,3686.00,508,0\r\n2006-01-30,12:17:00,3687.00,3687.00,3687.00,3687.00,228,0\r\n2006-01-30,12:18:00,3687.00,3687.00,3687.00,3687.00,32,0\r\n2006-01-30,12:19:00,3687.00,3688.00,3687.00,3687.00,72,0\r\n2006-01-30,12:20:00,3687.00,3688.00,3687.00,3687.00,71,0\r\n2006-01-30,12:21:00,3687.00,3688.00,3687.00,3688.00,337,0\r\n2006-01-30,12:22:00,3688.00,3688.00,3688.00,3688.00,114,0\r\n2006-01-30,12:23:00,3688.00,3688.00,3688.00,3688.00,71,0\r\n2006-01-30,12:24:00,3687.00,3687.00,3687.00,3687.00,100,0\r\n2006-01-30,12:25:00,3687.00,3687.00,3686.00,3686.00,230,0\r\n2006-01-30,12:26:00,3687.00,3688.00,3687.00,3687.00,347,0\r\n2006-01-30,12:27:00,3688.00,3688.00,3687.00,3687.00,67,0\r\n2006-01-30,12:28:00,3688.00,3688.00,3687.00,3687.00,354,0\r\n2006-01-30,12:29:00,3687.00,3687.00,3686.00,3686.00,76,0\r\n2006-01-30,12:30:00,3686.00,3686.00,3686.00,3686.00,10,0\r\n2006-01-30,12:31:00,3687.00,3687.00,3687.00,3687.00,239,0\r\n2006-01-30,12:32:00,3687.00,3687.00,3687.00,3687.00,169,0\r\n2006-01-30,12:33:00,3687.00,3687.00,3686.00,3686.00,16,0\r\n2006-01-30,12:34:00,3686.00,3686.00,3686.00,3686.00,386,0\r\n2006-01-30,12:35:00,3686.00,3686.00,3685.00,3685.00,9,0\r\n2006-01-30,12:36:00,3685.00,3686.00,3685.00,3686.00,711,0\r\n2006-01-30,12:37:00,3686.00,3686.00,3686.00,3686.00,4,0\r\n2006-01-30,12:38:00,3686.00,3686.00,3686.00,3686.00,86,0\r\n2006-01-30,12:40:00,3686.00,3686.00,3686.00,3686.00,162,0\r\n2006-01-30,12:42:00,3685.00,3685.00,3685.00,3685.00,250,0\r\n2006-01-30,12:43:00,3685.00,3685.00,3684.00,3684.00,749,0\r\n2006-01-30,12:44:00,3684.00,3685.00,3684.00,3684.00,28,0\r\n2006-01-30,12:45:00,3685.00,3685.00,3684.00,3685.00,183,0\r\n2006-01-30,12:46:00,3684.00,3685.00,3684.00,3685.00,683,0\r\n2006-01-30,12:47:00,3685.00,3685.00,3685.00,3685.00,68,0\r\n2006-01-30,12:48:00,3684.00,3685.00,3684.00,3685.00,83,0\r\n2006-01-30,12:49:00,3685.00,3686.00,3685.00,3686.00,684,0\r\n2006-01-30,12:50:00,3686.00,3687.00,3686.00,3686.00,1490,0\r\n2006-01-30,12:51:00,3686.00,3686.00,3686.00,3686.00,3,0\r\n2006-01-30,12:52:00,3685.00,3685.00,3685.00,3685.00,42,0\r\n2006-01-30,12:54:00,3685.00,3685.00,3685.00,3685.00,10,0\r\n2006-01-30,12:55:00,3685.00,3686.00,3685.00,3686.00,383,0\r\n2006-01-30,12:56:00,3686.00,3686.00,3686.00,3686.00,1243,0\r\n2006-01-30,12:57:00,3686.00,3686.00,3685.00,3685.00,59,0\r\n2006-01-30,12:59:00,3686.00,3686.00,3686.00,3686.00,3,0\r\n2006-01-30,13:00:00,3686.00,3686.00,3686.00,3686.00,166,0\r\n2006-01-30,13:01:00,3686.00,3686.00,3685.00,3685.00,150,0\r\n2006-01-30,13:02:00,3686.00,3686.00,3685.00,3686.00,12,0\r\n2006-01-30,13:03:00,3685.00,3685.00,3685.00,3685.00,15,0\r\n2006-01-30,13:04:00,3685.00,3686.00,3685.00,3685.00,442,0\r\n2006-01-30,13:05:00,3686.00,3686.00,3685.00,3686.00,168,0\r\n2006-01-30,13:06:00,3685.00,3686.00,3685.00,3686.00,893,0\r\n2006-01-30,13:07:00,3686.00,3687.00,3686.00,3686.00,348,0\r\n2006-01-30,13:08:00,3686.00,3686.00,3686.00,3686.00,35,0\r\n2006-01-30,13:09:00,3686.00,3687.00,3686.00,3687.00,369,0\r\n2006-01-30,13:10:00,3686.00,3687.00,3686.00,3686.00,75,0\r\n2006-01-30,13:11:00,3687.00,3687.00,3686.00,3686.00,10,0\r\n2006-01-30,13:12:00,3686.00,3687.00,3686.00,3686.00,7,0\r\n2006-01-30,13:13:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-30,13:14:00,3687.00,3687.00,3686.00,3686.00,247,0\r\n2006-01-30,13:15:00,3686.00,3687.00,3686.00,3687.00,52,0\r\n2006-01-30,13:16:00,3686.00,3686.00,3686.00,3686.00,52,0\r\n2006-01-30,13:17:00,3686.00,3686.00,3686.00,3686.00,296,0\r\n2006-01-30,13:18:00,3686.00,3686.00,3685.00,3685.00,502,0\r\n2006-01-30,13:19:00,3685.00,3686.00,3685.00,3686.00,284,0\r\n2006-01-30,13:20:00,3685.00,3686.00,3685.00,3686.00,23,0\r\n2006-01-30,13:21:00,3685.00,3686.00,3685.00,3686.00,3,0\r\n2006-01-30,13:22:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-01-30,13:23:00,3686.00,3686.00,3686.00,3686.00,1,0\r\n2006-01-30,13:24:00,3685.00,3685.00,3685.00,3685.00,26,0\r\n2006-01-30,13:25:00,3686.00,3686.00,3685.00,3685.00,7,0\r\n2006-01-30,13:26:00,3686.00,3686.00,3686.00,3686.00,3,0\r\n2006-01-30,13:27:00,3686.00,3686.00,3685.00,3686.00,959,0\r\n2006-01-30,13:28:00,3685.00,3686.00,3685.00,3686.00,4,0\r\n2006-01-30,13:29:00,3686.00,3686.00,3686.00,3686.00,1104,0\r\n2006-01-30,13:30:00,3686.00,3687.00,3686.00,3687.00,51,0\r\n2006-01-30,13:31:00,3686.00,3686.00,3684.00,3685.00,1619,0\r\n2006-01-30,13:32:00,3685.00,3685.00,3684.00,3684.00,280,0\r\n2006-01-30,13:33:00,3684.00,3684.00,3684.00,3684.00,356,0\r\n2006-01-30,13:34:00,3683.00,3684.00,3683.00,3683.00,371,0\r\n2006-01-30,13:35:00,3683.00,3683.00,3682.00,3683.00,534,0\r\n2006-01-30,13:36:00,3683.00,3684.00,3683.00,3684.00,7,0\r\n2006-01-30,13:37:00,3683.00,3683.00,3682.00,3682.00,337,0\r\n2006-01-30,13:38:00,3683.00,3683.00,3682.00,3683.00,1131,0\r\n2006-01-30,13:40:00,3683.00,3683.00,3683.00,3683.00,220,0\r\n2006-01-30,13:41:00,3683.00,3683.00,3683.00,3683.00,1,0\r\n2006-01-30,13:42:00,3684.00,3684.00,3684.00,3684.00,60,0\r\n2006-01-30,13:43:00,3684.00,3684.00,3684.00,3684.00,39,0\r\n2006-01-30,13:45:00,3684.00,3684.00,3684.00,3684.00,10,0\r\n2006-01-30,13:46:00,3683.00,3684.00,3683.00,3683.00,1180,0\r\n2006-01-30,13:47:00,3683.00,3684.00,3683.00,3684.00,16,0\r\n2006-01-30,13:48:00,3683.00,3683.00,3682.00,3683.00,62,0\r\n2006-01-30,13:49:00,3683.00,3683.00,3682.00,3682.00,177,0\r\n2006-01-30,13:50:00,3682.00,3682.00,3681.00,3682.00,1793,0\r\n2006-01-30,13:51:00,3681.00,3681.00,3681.00,3681.00,659,0\r\n2006-01-30,13:52:00,3681.00,3681.00,3680.00,3681.00,76,0\r\n2006-01-30,13:53:00,3681.00,3681.00,3680.00,3680.00,639,0\r\n2006-01-30,13:54:00,3680.00,3680.00,3680.00,3680.00,260,0\r\n2006-01-30,13:55:00,3681.00,3681.00,3680.00,3680.00,2,0\r\n2006-01-30,13:56:00,3681.00,3681.00,3680.00,3680.00,141,0\r\n2006-01-30,13:57:00,3681.00,3681.00,3681.00,3681.00,57,0\r\n2006-01-30,13:58:00,3680.00,3682.00,3680.00,3682.00,422,0\r\n2006-01-30,13:59:00,3681.00,3682.00,3681.00,3682.00,229,0\r\n2006-01-30,14:00:00,3682.00,3682.00,3681.00,3681.00,16,0\r\n2006-01-30,14:01:00,3681.00,3685.00,3681.00,3685.00,1597,0\r\n2006-01-30,14:02:00,3685.00,3687.00,3685.00,3685.00,2306,0\r\n2006-01-30,14:03:00,3685.00,3686.00,3685.00,3686.00,106,0\r\n2006-01-30,14:04:00,3685.00,3685.00,3684.00,3684.00,430,0\r\n2006-01-30,14:05:00,3684.00,3685.00,3684.00,3684.00,61,0\r\n2006-01-30,14:06:00,3685.00,3686.00,3685.00,3685.00,372,0\r\n2006-01-30,14:07:00,3685.00,3688.00,3685.00,3687.00,1666,0\r\n2006-01-30,14:08:00,3687.00,3687.00,3686.00,3686.00,201,0\r\n2006-01-30,14:09:00,3687.00,3687.00,3687.00,3687.00,1285,0\r\n2006-01-30,14:10:00,3687.00,3687.00,3686.00,3686.00,838,0\r\n2006-01-30,14:11:00,3686.00,3687.00,3686.00,3687.00,87,0\r\n2006-01-30,14:12:00,3686.00,3687.00,3686.00,3687.00,3,0\r\n2006-01-30,14:13:00,3686.00,3687.00,3686.00,3687.00,236,0\r\n2006-01-30,14:14:00,3687.00,3688.00,3687.00,3687.00,177,0\r\n2006-01-30,14:15:00,3687.00,3688.00,3687.00,3687.00,481,0\r\n2006-01-30,14:16:00,3687.00,3687.00,3686.00,3686.00,624,0\r\n2006-01-30,14:17:00,3686.00,3687.00,3686.00,3687.00,383,0\r\n2006-01-30,14:18:00,3686.00,3686.00,3685.00,3685.00,221,0\r\n2006-01-30,14:19:00,3686.00,3687.00,3686.00,3687.00,158,0\r\n2006-01-30,14:20:00,3687.00,3687.00,3686.00,3686.00,70,0\r\n2006-01-30,14:21:00,3686.00,3686.00,3685.00,3685.00,40,0\r\n2006-01-30,14:22:00,3686.00,3686.00,3686.00,3686.00,92,0\r\n2006-01-30,14:23:00,3686.00,3686.00,3686.00,3686.00,230,0\r\n2006-01-30,14:24:00,3686.00,3686.00,3686.00,3686.00,265,0\r\n2006-01-30,14:25:00,3686.00,3687.00,3686.00,3687.00,339,0\r\n2006-01-30,14:26:00,3686.00,3686.00,3686.00,3686.00,909,0\r\n2006-01-30,14:27:00,3686.00,3686.00,3686.00,3686.00,150,0\r\n2006-01-30,14:28:00,3685.00,3686.00,3685.00,3685.00,266,0\r\n2006-01-30,14:29:00,3685.00,3685.00,3684.00,3685.00,619,0\r\n2006-01-30,14:30:00,3685.00,3687.00,3685.00,3685.00,413,0\r\n2006-01-30,14:31:00,3686.00,3688.00,3686.00,3687.00,761,0\r\n2006-01-30,14:32:00,3687.00,3687.00,3686.00,3686.00,578,0\r\n2006-01-30,14:33:00,3686.00,3686.00,3683.00,3683.00,938,0\r\n2006-01-30,14:34:00,3684.00,3685.00,3682.00,3682.00,621,0\r\n2006-01-30,14:35:00,3683.00,3683.00,3683.00,3683.00,183,0\r\n2006-01-30,14:36:00,3683.00,3684.00,3683.00,3684.00,52,0\r\n2006-01-30,14:37:00,3683.00,3683.00,3683.00,3683.00,51,0\r\n2006-01-30,14:38:00,3684.00,3684.00,3682.00,3684.00,561,0\r\n2006-01-30,14:39:00,3684.00,3684.00,3683.00,3684.00,39,0\r\n2006-01-30,14:40:00,3683.00,3683.00,3683.00,3683.00,1,0\r\n2006-01-30,14:41:00,3683.00,3684.00,3683.00,3684.00,138,0\r\n2006-01-30,14:42:00,3684.00,3685.00,3684.00,3684.00,440,0\r\n2006-01-30,14:43:00,3684.00,3684.00,3684.00,3684.00,42,0\r\n2006-01-30,14:44:00,3684.00,3685.00,3684.00,3685.00,12,0\r\n2006-01-30,14:45:00,3684.00,3684.00,3684.00,3684.00,28,0\r\n2006-01-30,14:46:00,3685.00,3685.00,3685.00,3685.00,677,0\r\n2006-01-30,14:47:00,3685.00,3686.00,3685.00,3685.00,145,0\r\n2006-01-30,14:48:00,3685.00,3685.00,3685.00,3685.00,557,0\r\n2006-01-30,14:49:00,3686.00,3686.00,3685.00,3685.00,50,0\r\n2006-01-30,14:50:00,3685.00,3686.00,3685.00,3686.00,391,0\r\n2006-01-30,14:51:00,3685.00,3685.00,3684.00,3684.00,874,0\r\n2006-01-30,14:52:00,3683.00,3684.00,3683.00,3684.00,42,0\r\n2006-01-30,14:53:00,3684.00,3684.00,3683.00,3683.00,953,0\r\n2006-01-30,14:54:00,3684.00,3684.00,3684.00,3684.00,42,0\r\n2006-01-30,14:55:00,3684.00,3684.00,3684.00,3684.00,2,0\r\n2006-01-30,14:56:00,3684.00,3684.00,3682.00,3684.00,540,0\r\n2006-01-30,14:57:00,3683.00,3685.00,3683.00,3685.00,631,0\r\n2006-01-30,14:58:00,3685.00,3686.00,3685.00,3685.00,1167,0\r\n2006-01-30,14:59:00,3685.00,3685.00,3684.00,3684.00,166,0\r\n2006-01-30,15:00:00,3685.00,3686.00,3685.00,3685.00,190,0\r\n2006-01-30,15:01:00,3685.00,3685.00,3684.00,3685.00,330,0\r\n2006-01-30,15:02:00,3685.00,3686.00,3685.00,3686.00,1254,0\r\n2006-01-30,15:03:00,3686.00,3687.00,3686.00,3687.00,357,0\r\n2006-01-30,15:04:00,3687.00,3687.00,3686.00,3686.00,92,0\r\n2006-01-30,15:05:00,3686.00,3686.00,3686.00,3686.00,1284,0\r\n2006-01-30,15:06:00,3686.00,3686.00,3685.00,3685.00,370,0\r\n2006-01-30,15:07:00,3685.00,3686.00,3685.00,3686.00,547,0\r\n2006-01-30,15:08:00,3685.00,3686.00,3685.00,3686.00,57,0\r\n2006-01-30,15:09:00,3686.00,3686.00,3685.00,3686.00,230,0\r\n2006-01-30,15:10:00,3686.00,3686.00,3685.00,3685.00,779,0\r\n2006-01-30,15:11:00,3686.00,3686.00,3685.00,3685.00,242,0\r\n2006-01-30,15:12:00,3685.00,3686.00,3685.00,3686.00,947,0\r\n2006-01-30,15:13:00,3685.00,3687.00,3685.00,3686.00,409,0\r\n2006-01-30,15:14:00,3686.00,3688.00,3686.00,3688.00,713,0\r\n2006-01-30,15:15:00,3687.00,3687.00,3687.00,3687.00,223,0\r\n2006-01-30,15:16:00,3687.00,3688.00,3687.00,3687.00,31,0\r\n2006-01-30,15:17:00,3687.00,3688.00,3687.00,3687.00,415,0\r\n2006-01-30,15:18:00,3688.00,3688.00,3687.00,3688.00,156,0\r\n2006-01-30,15:19:00,3687.00,3688.00,3687.00,3688.00,55,0\r\n2006-01-30,15:20:00,3688.00,3689.00,3688.00,3688.00,844,0\r\n2006-01-30,15:21:00,3688.00,3688.00,3687.00,3687.00,197,0\r\n2006-01-30,15:22:00,3687.00,3687.00,3687.00,3687.00,282,0\r\n2006-01-30,15:23:00,3687.00,3688.00,3687.00,3688.00,603,0\r\n2006-01-30,15:24:00,3689.00,3689.00,3688.00,3688.00,355,0\r\n2006-01-30,15:25:00,3688.00,3690.00,3688.00,3689.00,738,0\r\n2006-01-30,15:26:00,3690.00,3690.00,3690.00,3690.00,1063,0\r\n2006-01-30,15:27:00,3690.00,3691.00,3690.00,3691.00,675,0\r\n2006-01-30,15:28:00,3690.00,3690.00,3689.00,3689.00,346,0\r\n2006-01-30,15:29:00,3689.00,3690.00,3689.00,3689.00,296,0\r\n2006-01-30,15:30:00,3689.00,3690.00,3689.00,3689.00,408,0\r\n2006-01-30,15:31:00,3689.00,3690.00,3689.00,3690.00,936,0\r\n2006-01-30,15:32:00,3689.00,3689.00,3688.00,3689.00,1657,0\r\n2006-01-30,15:33:00,3689.00,3690.00,3688.00,3689.00,339,0\r\n2006-01-30,15:34:00,3690.00,3691.00,3689.00,3691.00,361,0\r\n2006-01-30,15:35:00,3691.00,3691.00,3690.00,3690.00,718,0\r\n2006-01-30,15:36:00,3691.00,3691.00,3690.00,3690.00,1158,0\r\n2006-01-30,15:37:00,3690.00,3690.00,3687.00,3687.00,750,0\r\n2006-01-30,15:38:00,3688.00,3689.00,3687.00,3689.00,1426,0\r\n2006-01-30,15:39:00,3689.00,3691.00,3689.00,3691.00,1226,0\r\n2006-01-30,15:40:00,3691.00,3692.00,3690.00,3690.00,660,0\r\n2006-01-30,15:41:00,3690.00,3690.00,3689.00,3689.00,499,0\r\n2006-01-30,15:42:00,3690.00,3690.00,3688.00,3688.00,626,0\r\n2006-01-30,15:43:00,3688.00,3689.00,3686.00,3687.00,2067,0\r\n2006-01-30,15:44:00,3688.00,3690.00,3688.00,3689.00,1853,0\r\n2006-01-30,15:45:00,3689.00,3691.00,3689.00,3691.00,1036,0\r\n2006-01-30,15:46:00,3690.00,3691.00,3688.00,3689.00,840,0\r\n2006-01-30,15:47:00,3689.00,3689.00,3686.00,3686.00,1437,0\r\n2006-01-30,15:48:00,3686.00,3687.00,3685.00,3686.00,1793,0\r\n2006-01-30,15:49:00,3687.00,3688.00,3686.00,3687.00,787,0\r\n2006-01-30,15:50:00,3687.00,3687.00,3685.00,3686.00,1486,0\r\n2006-01-30,15:51:00,3686.00,3687.00,3685.00,3685.00,2241,0\r\n2006-01-30,15:52:00,3685.00,3686.00,3684.00,3685.00,1267,0\r\n2006-01-30,15:53:00,3686.00,3687.00,3685.00,3686.00,1234,0\r\n2006-01-30,15:54:00,3687.00,3687.00,3685.00,3686.00,938,0\r\n2006-01-30,15:55:00,3686.00,3687.00,3686.00,3687.00,4659,0\r\n2006-01-30,15:56:00,3688.00,3688.00,3687.00,3687.00,429,0\r\n2006-01-30,15:57:00,3686.00,3688.00,3686.00,3688.00,1449,0\r\n2006-01-30,15:58:00,3688.00,3688.00,3686.00,3686.00,761,0\r\n2006-01-30,15:59:00,3686.00,3687.00,3685.00,3686.00,1320,0\r\n2006-01-30,16:00:00,3686.00,3688.00,3686.00,3686.00,1155,0\r\n2006-01-30,16:01:00,3686.00,3686.00,3685.00,3686.00,618,0\r\n2006-01-30,16:02:00,3686.00,3686.00,3686.00,3686.00,15,0\r\n2006-01-30,16:03:00,3687.00,3688.00,3686.00,3686.00,869,0\r\n2006-01-30,16:04:00,3686.00,3688.00,3686.00,3687.00,291,0\r\n2006-01-30,16:05:00,3687.00,3689.00,3687.00,3688.00,1553,0\r\n2006-01-30,16:06:00,3687.00,3689.00,3687.00,3688.00,574,0\r\n2006-01-30,16:07:00,3688.00,3689.00,3688.00,3689.00,689,0\r\n2006-01-30,16:08:00,3689.00,3692.00,3689.00,3691.00,1238,0\r\n2006-01-30,16:09:00,3692.00,3692.00,3690.00,3691.00,1472,0\r\n2006-01-30,16:10:00,3690.00,3691.00,3689.00,3689.00,1141,0\r\n2006-01-30,16:11:00,3689.00,3690.00,3688.00,3688.00,3799,0\r\n2006-01-30,16:12:00,3688.00,3690.00,3688.00,3689.00,1168,0\r\n2006-01-30,16:13:00,3690.00,3692.00,3689.00,3691.00,1227,0\r\n2006-01-30,16:14:00,3692.00,3693.00,3690.00,3692.00,945,0\r\n2006-01-30,16:15:00,3693.00,3694.00,3691.00,3692.00,1224,0\r\n2006-01-30,16:16:00,3692.00,3694.00,3691.00,3694.00,1359,0\r\n2006-01-30,16:17:00,3694.00,3695.00,3693.00,3693.00,1580,0\r\n2006-01-30,16:18:00,3693.00,3694.00,3691.00,3692.00,2018,0\r\n2006-01-30,16:19:00,3693.00,3694.00,3691.00,3694.00,682,0\r\n2006-01-30,16:20:00,3693.00,3694.00,3691.00,3691.00,2567,0\r\n2006-01-30,16:21:00,3692.00,3692.00,3690.00,3691.00,981,0\r\n2006-01-30,16:22:00,3690.00,3692.00,3690.00,3692.00,873,0\r\n2006-01-30,16:23:00,3692.00,3693.00,3691.00,3692.00,1041,0\r\n2006-01-30,16:24:00,3692.00,3692.00,3691.00,3692.00,507,0\r\n2006-01-30,16:25:00,3693.00,3693.00,3692.00,3692.00,463,0\r\n2006-01-30,16:26:00,3691.00,3692.00,3691.00,3691.00,271,0\r\n2006-01-30,16:27:00,3691.00,3693.00,3691.00,3692.00,735,0\r\n2006-01-30,16:28:00,3692.00,3693.00,3690.00,3690.00,2429,0\r\n2006-01-30,16:29:00,3691.00,3691.00,3690.00,3691.00,419,0\r\n2006-01-30,16:30:00,3692.00,3692.00,3691.00,3692.00,1625,0\r\n2006-01-30,16:31:00,3691.00,3692.00,3690.00,3690.00,1066,0\r\n2006-01-30,16:32:00,3691.00,3691.00,3690.00,3690.00,3056,0\r\n2006-01-30,16:33:00,3689.00,3691.00,3689.00,3691.00,2175,0\r\n2006-01-30,16:34:00,3690.00,3691.00,3689.00,3690.00,566,0\r\n2006-01-30,16:35:00,3689.00,3692.00,3689.00,3691.00,888,0\r\n2006-01-30,16:36:00,3691.00,3692.00,3690.00,3691.00,1634,0\r\n2006-01-30,16:37:00,3690.00,3692.00,3690.00,3691.00,1249,0\r\n2006-01-30,16:38:00,3691.00,3693.00,3690.00,3693.00,1557,0\r\n2006-01-30,16:39:00,3693.00,3693.00,3692.00,3692.00,551,0\r\n2006-01-30,16:40:00,3692.00,3693.00,3692.00,3693.00,1546,0\r\n2006-01-30,16:41:00,3693.00,3693.00,3692.00,3692.00,151,0\r\n2006-01-30,16:42:00,3692.00,3694.00,3692.00,3693.00,1340,0\r\n2006-01-30,16:43:00,3693.00,3694.00,3692.00,3694.00,3090,0\r\n2006-01-30,16:44:00,3694.00,3694.00,3692.00,3693.00,484,0\r\n2006-01-30,16:45:00,3693.00,3694.00,3692.00,3693.00,1173,0\r\n2006-01-30,16:46:00,3693.00,3694.00,3692.00,3693.00,326,0\r\n2006-01-30,16:47:00,3693.00,3693.00,3691.00,3692.00,1071,0\r\n2006-01-30,16:48:00,3692.00,3693.00,3692.00,3692.00,149,0\r\n2006-01-30,16:49:00,3692.00,3693.00,3691.00,3692.00,948,0\r\n2006-01-30,16:50:00,3693.00,3693.00,3692.00,3693.00,691,0\r\n2006-01-30,16:51:00,3693.00,3694.00,3692.00,3693.00,599,0\r\n2006-01-30,16:52:00,3693.00,3694.00,3693.00,3693.00,395,0\r\n2006-01-30,16:53:00,3693.00,3694.00,3693.00,3693.00,369,0\r\n2006-01-30,16:54:00,3693.00,3695.00,3693.00,3694.00,1485,0\r\n2006-01-30,16:55:00,3695.00,3695.00,3694.00,3694.00,1188,0\r\n2006-01-30,16:56:00,3694.00,3695.00,3693.00,3693.00,398,0\r\n2006-01-30,16:57:00,3693.00,3694.00,3692.00,3692.00,1023,0\r\n2006-01-30,16:58:00,3691.00,3692.00,3690.00,3691.00,2035,0\r\n2006-01-30,16:59:00,3691.00,3692.00,3691.00,3691.00,983,0\r\n2006-01-30,17:00:00,3692.00,3692.00,3691.00,3692.00,1294,0\r\n2006-01-30,17:01:00,3692.00,3692.00,3689.00,3689.00,1098,0\r\n2006-01-30,17:02:00,3690.00,3690.00,3689.00,3690.00,1758,0\r\n2006-01-30,17:03:00,3689.00,3690.00,3689.00,3690.00,716,0\r\n2006-01-30,17:04:00,3689.00,3690.00,3688.00,3689.00,1052,0\r\n2006-01-30,17:05:00,3689.00,3689.00,3688.00,3688.00,1156,0\r\n2006-01-30,17:06:00,3688.00,3689.00,3688.00,3688.00,961,0\r\n2006-01-30,17:07:00,3688.00,3689.00,3688.00,3689.00,70,0\r\n2006-01-30,17:08:00,3688.00,3689.00,3687.00,3687.00,762,0\r\n2006-01-30,17:09:00,3687.00,3688.00,3687.00,3687.00,1136,0\r\n2006-01-30,17:10:00,3687.00,3687.00,3686.00,3686.00,1924,0\r\n2006-01-30,17:11:00,3686.00,3688.00,3686.00,3687.00,1176,0\r\n2006-01-30,17:12:00,3686.00,3688.00,3686.00,3686.00,606,0\r\n2006-01-30,17:13:00,3687.00,3689.00,3687.00,3687.00,1324,0\r\n2006-01-30,17:14:00,3688.00,3690.00,3687.00,3690.00,1876,0\r\n2006-01-30,17:15:00,3689.00,3690.00,3689.00,3689.00,315,0\r\n2006-01-30,17:16:00,3689.00,3690.00,3688.00,3688.00,1381,0\r\n2006-01-30,17:17:00,3687.00,3689.00,3687.00,3688.00,918,0\r\n2006-01-30,17:18:00,3688.00,3690.00,3688.00,3689.00,546,0\r\n2006-01-30,17:19:00,3690.00,3690.00,3687.00,3687.00,2151,0\r\n2006-01-30,17:20:00,3688.00,3688.00,3687.00,3688.00,487,0\r\n2006-01-30,17:21:00,3688.00,3688.00,3687.00,3688.00,515,0\r\n2006-01-30,17:22:00,3688.00,3688.00,3687.00,3688.00,1644,0\r\n2006-01-30,17:23:00,3688.00,3690.00,3688.00,3689.00,1068,0\r\n2006-01-30,17:24:00,3690.00,3690.00,3689.00,3689.00,709,0\r\n2006-01-30,17:25:00,3689.00,3690.00,3689.00,3689.00,21,0\r\n2006-01-30,17:26:00,3689.00,3690.00,3688.00,3688.00,1527,0\r\n2006-01-30,17:27:00,3687.00,3687.00,3686.00,3687.00,1893,0\r\n2006-01-30,17:28:00,3687.00,3688.00,3686.00,3687.00,1699,0\r\n2006-01-30,17:29:00,3687.00,3687.00,3686.00,3686.00,1634,0\r\n2006-01-30,17:30:00,3686.00,3688.00,3685.00,3688.00,3239,0\r\n2006-01-30,17:31:00,3687.00,3689.00,3687.00,3689.00,1829,0\r\n2006-01-30,17:32:00,3688.00,3688.00,3687.00,3687.00,1576,0\r\n2006-01-30,17:33:00,3688.00,3688.00,3687.00,3687.00,1294,0\r\n2006-01-30,17:34:00,3687.00,3687.00,3686.00,3686.00,3897,0\r\n2006-01-30,17:35:00,3687.00,3688.00,3686.00,3688.00,1367,0\r\n2006-01-30,17:36:00,3688.00,3689.00,3687.00,3688.00,458,0\r\n2006-01-30,17:37:00,3688.00,3690.00,3688.00,3690.00,1888,0\r\n2006-01-30,17:38:00,3690.00,3691.00,3689.00,3691.00,1147,0\r\n2006-01-30,17:39:00,3690.00,3691.00,3690.00,3691.00,429,0\r\n2006-01-30,17:40:00,3690.00,3691.00,3690.00,3690.00,86,0\r\n2006-01-30,17:41:00,3690.00,3690.00,3690.00,3690.00,324,0\r\n2006-01-30,17:42:00,3690.00,3692.00,3690.00,3692.00,769,0\r\n2006-01-30,17:43:00,3692.00,3692.00,3690.00,3691.00,484,0\r\n2006-01-30,17:44:00,3690.00,3691.00,3690.00,3691.00,92,0\r\n2006-01-30,17:45:00,3691.00,3692.00,3690.00,3691.00,354,0\r\n2006-01-30,17:46:00,3691.00,3691.00,3691.00,3691.00,10,0\r\n2006-01-30,17:47:00,3690.00,3691.00,3690.00,3691.00,959,0\r\n2006-01-30,17:48:00,3691.00,3693.00,3691.00,3692.00,707,0\r\n2006-01-30,17:49:00,3691.00,3692.00,3691.00,3691.00,414,0\r\n2006-01-30,17:50:00,3692.00,3692.00,3691.00,3691.00,276,0\r\n2006-01-30,17:51:00,3691.00,3691.00,3691.00,3691.00,94,0\r\n2006-01-30,17:52:00,3692.00,3692.00,3691.00,3692.00,43,0\r\n2006-01-30,17:53:00,3692.00,3692.00,3692.00,3692.00,150,0\r\n2006-01-30,17:54:00,3692.00,3692.00,3691.00,3691.00,562,0\r\n2006-01-30,17:55:00,3691.00,3691.00,3691.00,3691.00,2,0\r\n2006-01-30,17:56:00,3691.00,3691.00,3691.00,3691.00,127,0\r\n2006-01-30,17:57:00,3690.00,3691.00,3689.00,3689.00,239,0\r\n2006-01-30,17:58:00,3689.00,3689.00,3689.00,3689.00,84,0\r\n2006-01-30,17:59:00,3690.00,3691.00,3689.00,3689.00,482,0\r\n2006-01-30,18:00:00,3689.00,3689.00,3689.00,3689.00,313,0\r\n2006-01-30,18:01:00,3690.00,3690.00,3689.00,3689.00,189,0\r\n2006-01-30,18:02:00,3688.00,3688.00,3688.00,3688.00,506,0\r\n2006-01-30,18:03:00,3687.00,3688.00,3687.00,3688.00,585,0\r\n2006-01-30,18:04:00,3688.00,3688.00,3687.00,3688.00,219,0\r\n2006-01-30,18:05:00,3688.00,3689.00,3688.00,3689.00,253,0\r\n2006-01-30,18:06:00,3689.00,3689.00,3689.00,3689.00,203,0\r\n2006-01-30,18:07:00,3689.00,3690.00,3689.00,3690.00,174,0\r\n2006-01-30,18:08:00,3689.00,3690.00,3689.00,3690.00,109,0\r\n2006-01-30,18:09:00,3690.00,3690.00,3690.00,3690.00,292,0\r\n2006-01-30,18:10:00,3690.00,3690.00,3690.00,3690.00,9,0\r\n2006-01-30,18:11:00,3691.00,3691.00,3691.00,3691.00,143,0\r\n2006-01-30,18:12:00,3691.00,3692.00,3691.00,3691.00,106,0\r\n2006-01-30,18:13:00,3691.00,3692.00,3691.00,3692.00,459,0\r\n2006-01-30,18:14:00,3692.00,3692.00,3691.00,3691.00,41,0\r\n2006-01-30,18:15:00,3692.00,3692.00,3692.00,3692.00,163,0\r\n2006-01-30,18:16:00,3691.00,3691.00,3691.00,3691.00,215,0\r\n2006-01-30,18:17:00,3692.00,3693.00,3692.00,3693.00,276,0\r\n2006-01-30,18:18:00,3693.00,3693.00,3693.00,3693.00,303,0\r\n2006-01-30,18:19:00,3692.00,3694.00,3692.00,3694.00,363,0\r\n2006-01-30,18:20:00,3694.00,3694.00,3693.00,3693.00,600,0\r\n2006-01-30,18:21:00,3693.00,3694.00,3693.00,3694.00,422,0\r\n2006-01-30,18:22:00,3694.00,3697.00,3694.00,3696.00,1502,0\r\n2006-01-30,18:23:00,3695.00,3695.00,3695.00,3695.00,194,0\r\n2006-01-30,18:24:00,3694.00,3694.00,3694.00,3694.00,517,0\r\n2006-01-30,18:25:00,3694.00,3694.00,3693.00,3693.00,298,0\r\n2006-01-30,18:26:00,3693.00,3694.00,3693.00,3694.00,85,0\r\n2006-01-30,18:27:00,3694.00,3694.00,3694.00,3694.00,106,0\r\n2006-01-30,18:28:00,3694.00,3694.00,3694.00,3694.00,180,0\r\n2006-01-30,18:29:00,3693.00,3693.00,3692.00,3692.00,188,0\r\n2006-01-30,18:30:00,3692.00,3692.00,3692.00,3692.00,32,0\r\n2006-01-30,18:31:00,3692.00,3692.00,3692.00,3692.00,254,0\r\n2006-01-30,18:32:00,3692.00,3693.00,3692.00,3693.00,195,0\r\n2006-01-30,18:33:00,3693.00,3694.00,3693.00,3694.00,179,0\r\n2006-01-30,18:34:00,3694.00,3695.00,3693.00,3695.00,172,0\r\n2006-01-30,18:35:00,3694.00,3695.00,3694.00,3694.00,227,0\r\n2006-01-30,18:36:00,3694.00,3696.00,3694.00,3696.00,457,0\r\n2006-01-30,18:37:00,3697.00,3697.00,3696.00,3696.00,327,0\r\n2006-01-30,18:38:00,3695.00,3697.00,3695.00,3695.00,388,0\r\n2006-01-30,18:39:00,3696.00,3696.00,3695.00,3695.00,160,0\r\n2006-01-30,18:40:00,3694.00,3695.00,3694.00,3695.00,128,0\r\n2006-01-30,18:41:00,3694.00,3694.00,3694.00,3694.00,250,0\r\n2006-01-30,18:42:00,3694.00,3694.00,3693.00,3694.00,41,0\r\n2006-01-30,18:43:00,3693.00,3694.00,3693.00,3694.00,197,0\r\n2006-01-30,18:44:00,3694.00,3696.00,3694.00,3696.00,234,0\r\n2006-01-30,18:45:00,3695.00,3697.00,3695.00,3697.00,1431,0\r\n2006-01-30,18:46:00,3697.00,3699.00,3697.00,3697.00,2558,0\r\n2006-01-30,18:47:00,3697.00,3698.00,3697.00,3697.00,173,0\r\n2006-01-30,18:48:00,3696.00,3697.00,3694.00,3694.00,294,0\r\n2006-01-30,18:49:00,3695.00,3697.00,3695.00,3697.00,216,0\r\n2006-01-30,18:50:00,3696.00,3697.00,3696.00,3696.00,325,0\r\n2006-01-30,18:51:00,3696.00,3697.00,3696.00,3696.00,25,0\r\n2006-01-30,18:52:00,3696.00,3698.00,3696.00,3697.00,219,0\r\n2006-01-30,18:53:00,3697.00,3697.00,3697.00,3697.00,50,0\r\n2006-01-30,18:54:00,3696.00,3696.00,3696.00,3696.00,40,0\r\n2006-01-30,18:55:00,3695.00,3695.00,3694.00,3694.00,223,0\r\n2006-01-30,18:56:00,3694.00,3694.00,3694.00,3694.00,1,0\r\n2006-01-30,18:57:00,3695.00,3695.00,3695.00,3695.00,69,0\r\n2006-01-30,18:58:00,3696.00,3696.00,3695.00,3696.00,541,0\r\n2006-01-30,18:59:00,3696.00,3696.00,3695.00,3695.00,64,0\r\n2006-01-30,19:00:00,3696.00,3696.00,3695.00,3695.00,9,0\r\n2006-01-30,19:01:00,3696.00,3698.00,3696.00,3697.00,328,0\r\n2006-01-30,19:02:00,3697.00,3698.00,3697.00,3698.00,72,0\r\n2006-01-30,19:03:00,3697.00,3697.00,3697.00,3697.00,17,0\r\n2006-01-30,19:04:00,3697.00,3697.00,3696.00,3697.00,356,0\r\n2006-01-30,19:05:00,3697.00,3697.00,3696.00,3696.00,74,0\r\n2006-01-30,19:06:00,3696.00,3696.00,3696.00,3696.00,84,0\r\n2006-01-30,19:07:00,3696.00,3696.00,3696.00,3696.00,39,0\r\n2006-01-30,19:08:00,3696.00,3696.00,3696.00,3696.00,123,0\r\n2006-01-30,19:09:00,3697.00,3697.00,3697.00,3697.00,141,0\r\n2006-01-30,19:10:00,3697.00,3697.00,3697.00,3697.00,61,0\r\n2006-01-30,19:11:00,3697.00,3698.00,3697.00,3698.00,20,0\r\n2006-01-30,19:12:00,3697.00,3697.00,3697.00,3697.00,106,0\r\n2006-01-30,19:13:00,3697.00,3697.00,3696.00,3696.00,15,0\r\n2006-01-30,19:14:00,3696.00,3696.00,3696.00,3696.00,187,0\r\n2006-01-30,19:15:00,3696.00,3696.00,3696.00,3696.00,57,0\r\n2006-01-30,19:16:00,3696.00,3696.00,3696.00,3696.00,52,0\r\n2006-01-30,19:17:00,3697.00,3697.00,3697.00,3697.00,113,0\r\n2006-01-30,19:18:00,3697.00,3697.00,3697.00,3697.00,22,0\r\n2006-01-30,19:19:00,3697.00,3698.00,3697.00,3698.00,33,0\r\n2006-01-30,19:20:00,3698.00,3699.00,3697.00,3698.00,204,0\r\n2006-01-30,19:21:00,3698.00,3698.00,3697.00,3697.00,70,0\r\n2006-01-30,19:22:00,3697.00,3697.00,3696.00,3696.00,327,0\r\n2006-01-30,19:23:00,3696.00,3697.00,3695.00,3696.00,167,0\r\n2006-01-30,19:24:00,3696.00,3696.00,3696.00,3696.00,115,0\r\n2006-01-30,19:25:00,3695.00,3695.00,3695.00,3695.00,21,0\r\n2006-01-30,19:27:00,3696.00,3696.00,3695.00,3696.00,17,0\r\n2006-01-30,19:28:00,3696.00,3696.00,3695.00,3696.00,103,0\r\n2006-01-30,19:29:00,3696.00,3697.00,3696.00,3696.00,364,0\r\n2006-01-30,19:30:00,3697.00,3697.00,3697.00,3697.00,1,0\r\n2006-01-30,19:31:00,3696.00,3697.00,3696.00,3696.00,36,0\r\n2006-01-30,19:32:00,3696.00,3696.00,3696.00,3696.00,3,0\r\n2006-01-30,19:33:00,3697.00,3697.00,3697.00,3697.00,32,0\r\n2006-01-30,19:35:00,3696.00,3696.00,3696.00,3696.00,60,0\r\n2006-01-30,19:37:00,3696.00,3698.00,3696.00,3698.00,298,0\r\n2006-01-30,19:38:00,3698.00,3699.00,3697.00,3697.00,156,0\r\n2006-01-30,19:39:00,3697.00,3697.00,3696.00,3696.00,123,0\r\n2006-01-30,19:40:00,3697.00,3697.00,3697.00,3697.00,542,0\r\n2006-01-30,19:41:00,3697.00,3702.00,3697.00,3702.00,2277,0\r\n2006-01-30,19:42:00,3701.00,3703.00,3701.00,3703.00,1191,0\r\n2006-01-30,19:43:00,3702.00,3703.00,3701.00,3702.00,693,0\r\n2006-01-30,19:44:00,3702.00,3704.00,3702.00,3703.00,979,0\r\n2006-01-30,19:45:00,3704.00,3704.00,3702.00,3704.00,891,0\r\n2006-01-30,19:46:00,3703.00,3703.00,3702.00,3702.00,138,0\r\n2006-01-30,19:48:00,3702.00,3706.00,3702.00,3705.00,1354,0\r\n2006-01-30,19:49:00,3706.00,3708.00,3705.00,3706.00,886,0\r\n2006-01-30,19:50:00,3707.00,3707.00,3706.00,3706.00,7,0\r\n2006-01-30,19:51:00,3706.00,3707.00,3706.00,3707.00,322,0\r\n2006-01-30,19:52:00,3708.00,3709.00,3708.00,3708.00,723,0\r\n2006-01-30,19:53:00,3707.00,3707.00,3707.00,3707.00,356,0\r\n2006-01-30,19:54:00,3707.00,3708.00,3707.00,3707.00,39,0\r\n2006-01-30,19:55:00,3707.00,3707.00,3707.00,3707.00,108,0\r\n2006-01-30,19:56:00,3707.00,3707.00,3706.00,3706.00,218,0\r\n2006-01-30,19:57:00,3707.00,3707.00,3706.00,3706.00,107,0\r\n2006-01-30,19:58:00,3705.00,3705.00,3704.00,3704.00,147,0\r\n2006-01-30,19:59:00,3704.00,3704.00,3703.00,3703.00,147,0\r\n2006-01-30,20:00:00,3703.00,3704.00,3703.00,3704.00,164,0\r\n2006-01-30,20:01:00,3704.00,3704.00,3703.00,3704.00,728,0\r\n2006-01-30,20:02:00,3704.00,3704.00,3704.00,3704.00,308,0\r\n2006-01-30,20:03:00,3704.00,3704.00,3704.00,3704.00,223,0\r\n2006-01-30,20:04:00,3703.00,3703.00,3702.00,3703.00,70,0\r\n2006-01-30,20:05:00,3703.00,3704.00,3703.00,3704.00,47,0\r\n2006-01-30,20:06:00,3704.00,3704.00,3703.00,3703.00,104,0\r\n2006-01-30,20:07:00,3704.00,3704.00,3702.00,3703.00,378,0\r\n2006-01-30,20:08:00,3702.00,3702.00,3702.00,3702.00,206,0\r\n2006-01-30,20:09:00,3702.00,3702.00,3702.00,3702.00,2,0\r\n2006-01-30,20:10:00,3703.00,3703.00,3702.00,3702.00,46,0\r\n2006-01-30,20:11:00,3702.00,3702.00,3701.00,3701.00,226,0\r\n2006-01-30,20:12:00,3701.00,3702.00,3701.00,3702.00,170,0\r\n2006-01-30,20:13:00,3702.00,3702.00,3702.00,3702.00,19,0\r\n2006-01-30,20:14:00,3702.00,3702.00,3702.00,3702.00,26,0\r\n2006-01-30,20:15:00,3701.00,3702.00,3701.00,3702.00,6,0\r\n2006-01-30,20:16:00,3702.00,3703.00,3702.00,3703.00,20,0\r\n2006-01-30,20:17:00,3702.00,3702.00,3702.00,3702.00,363,0\r\n2006-01-30,20:18:00,3702.00,3702.00,3702.00,3702.00,50,0\r\n2006-01-30,20:19:00,3702.00,3702.00,3702.00,3702.00,1,0\r\n2006-01-30,20:20:00,3702.00,3702.00,3702.00,3702.00,16,0\r\n2006-01-30,20:21:00,3702.00,3702.00,3702.00,3702.00,35,0\r\n2006-01-30,20:22:00,3703.00,3703.00,3703.00,3703.00,30,0\r\n2006-01-30,20:23:00,3704.00,3704.00,3703.00,3703.00,14,0\r\n2006-01-30,20:24:00,3703.00,3704.00,3702.00,3704.00,126,0\r\n2006-01-30,20:25:00,3704.00,3704.00,3704.00,3704.00,15,0\r\n2006-01-30,20:26:00,3704.00,3704.00,3702.00,3702.00,32,0\r\n2006-01-30,20:27:00,3702.00,3702.00,3702.00,3702.00,141,0\r\n2006-01-30,20:28:00,3701.00,3701.00,3701.00,3701.00,51,0\r\n2006-01-30,20:29:00,3701.00,3701.00,3700.00,3700.00,43,0\r\n2006-01-30,20:31:00,3702.00,3702.00,3702.00,3702.00,89,0\r\n2006-01-30,20:32:00,3702.00,3702.00,3702.00,3702.00,137,0\r\n2006-01-30,20:33:00,3701.00,3702.00,3701.00,3702.00,198,0\r\n2006-01-30,20:34:00,3701.00,3701.00,3701.00,3701.00,15,0\r\n2006-01-30,20:36:00,3700.00,3700.00,3700.00,3700.00,108,0\r\n2006-01-30,20:37:00,3700.00,3701.00,3700.00,3700.00,203,0\r\n2006-01-30,20:38:00,3700.00,3701.00,3700.00,3701.00,233,0\r\n2006-01-30,20:39:00,3701.00,3701.00,3700.00,3700.00,135,0\r\n2006-01-30,20:41:00,3700.00,3700.00,3700.00,3700.00,21,0\r\n2006-01-30,20:42:00,3700.00,3701.00,3700.00,3701.00,158,0\r\n2006-01-30,20:43:00,3701.00,3701.00,3701.00,3701.00,63,0\r\n2006-01-30,20:44:00,3701.00,3701.00,3701.00,3701.00,30,0\r\n2006-01-30,20:46:00,3701.00,3701.00,3701.00,3701.00,32,0\r\n2006-01-30,20:47:00,3701.00,3701.00,3701.00,3701.00,12,0\r\n2006-01-30,20:48:00,3701.00,3701.00,3701.00,3701.00,3,0\r\n2006-01-30,20:50:00,3701.00,3701.00,3701.00,3701.00,7,0\r\n2006-01-30,20:52:00,3701.00,3701.00,3701.00,3701.00,4,0\r\n2006-01-30,20:57:00,3701.00,3701.00,3701.00,3701.00,8,0\r\n2006-01-30,20:58:00,3701.00,3702.00,3701.00,3702.00,2,0\r\n2006-01-30,21:01:00,3702.00,3702.00,3700.00,3700.00,240,0\r\n2006-01-30,21:02:00,3700.00,3700.00,3700.00,3700.00,56,0\r\n2006-01-30,21:03:00,3700.00,3701.00,3700.00,3700.00,180,0\r\n2006-01-30,21:04:00,3700.00,3700.00,3700.00,3700.00,117,0\r\n2006-01-30,21:05:00,3700.00,3700.00,3700.00,3700.00,55,0\r\n2006-01-30,21:07:00,3701.00,3701.00,3701.00,3701.00,65,0\r\n2006-01-30,21:08:00,3702.00,3702.00,3701.00,3701.00,130,0\r\n2006-01-30,21:10:00,3700.00,3701.00,3700.00,3701.00,57,0\r\n2006-01-30,21:12:00,3701.00,3701.00,3701.00,3701.00,92,0\r\n2006-01-30,21:13:00,3701.00,3702.00,3701.00,3702.00,67,0\r\n2006-01-30,21:15:00,3701.00,3701.00,3700.00,3700.00,103,0\r\n2006-01-30,21:16:00,3701.00,3701.00,3698.00,3699.00,366,0\r\n2006-01-30,21:17:00,3699.00,3699.00,3698.00,3698.00,8,0\r\n2006-01-30,21:18:00,3699.00,3699.00,3698.00,3698.00,50,0\r\n2006-01-30,21:19:00,3698.00,3698.00,3697.00,3697.00,53,0\r\n2006-01-30,21:20:00,3698.00,3698.00,3698.00,3698.00,2,0\r\n2006-01-30,21:21:00,3698.00,3698.00,3697.00,3698.00,61,0\r\n2006-01-30,21:22:00,3697.00,3697.00,3696.00,3697.00,54,0\r\n2006-01-30,21:23:00,3696.00,3696.00,3696.00,3696.00,67,0\r\n2006-01-30,21:24:00,3697.00,3697.00,3696.00,3696.00,30,0\r\n2006-01-30,21:27:00,3697.00,3697.00,3697.00,3697.00,363,0\r\n2006-01-30,21:28:00,3698.00,3698.00,3698.00,3698.00,16,0\r\n2006-01-30,21:29:00,3699.00,3699.00,3698.00,3698.00,67,0\r\n2006-01-30,21:30:00,3699.00,3699.00,3699.00,3699.00,4,0\r\n2006-01-30,21:31:00,3699.00,3699.00,3698.00,3699.00,37,0\r\n2006-01-30,21:32:00,3698.00,3699.00,3698.00,3699.00,14,0\r\n2006-01-30,21:33:00,3699.00,3699.00,3699.00,3699.00,6,0\r\n2006-01-30,21:34:00,3698.00,3698.00,3698.00,3698.00,1,0\r\n2006-01-30,21:36:00,3698.00,3698.00,3698.00,3698.00,4,0\r\n2006-01-30,21:37:00,3698.00,3699.00,3698.00,3699.00,40,0\r\n2006-01-30,21:38:00,3699.00,3699.00,3698.00,3698.00,74,0\r\n2006-01-30,21:39:00,3698.00,3698.00,3698.00,3698.00,5,0\r\n2006-01-30,21:40:00,3699.00,3699.00,3699.00,3699.00,9,0\r\n2006-01-30,21:41:00,3698.00,3698.00,3698.00,3698.00,2,0\r\n2006-01-30,21:42:00,3698.00,3698.00,3698.00,3698.00,12,0\r\n2006-01-30,21:43:00,3698.00,3699.00,3698.00,3698.00,163,0\r\n2006-01-30,21:44:00,3699.00,3699.00,3699.00,3699.00,1,0\r\n2006-01-30,21:46:00,3699.00,3699.00,3699.00,3699.00,9,0\r\n2006-01-30,21:47:00,3698.00,3698.00,3698.00,3698.00,46,0\r\n2006-01-30,21:48:00,3698.00,3698.00,3697.00,3697.00,43,0\r\n2006-01-30,21:49:00,3697.00,3698.00,3697.00,3698.00,41,0\r\n2006-01-30,21:51:00,3699.00,3699.00,3699.00,3699.00,1,0\r\n2006-01-30,21:52:00,3698.00,3699.00,3698.00,3699.00,48,0\r\n2006-01-30,21:53:00,3699.00,3700.00,3699.00,3700.00,157,0\r\n2006-01-30,21:54:00,3699.00,3700.00,3699.00,3700.00,34,0\r\n2006-01-30,21:55:00,3700.00,3700.00,3699.00,3699.00,106,0\r\n2006-01-30,21:56:00,3700.00,3700.00,3700.00,3700.00,14,0\r\n2006-01-30,21:57:00,3700.00,3701.00,3700.00,3701.00,34,0\r\n2006-01-30,21:58:00,3701.00,3701.00,3700.00,3701.00,39,0\r\n2006-01-30,21:59:00,3701.00,3701.00,3701.00,3701.00,85,0\r\n2006-01-30,22:00:00,3700.00,3701.00,3699.00,3701.00,484,0\r\n2006-01-31,09:01:00,3697.00,3697.00,3695.00,3695.00,6792,0\r\n2006-01-31,09:02:00,3695.00,3695.00,3694.00,3695.00,2197,0\r\n2006-01-31,09:03:00,3694.00,3696.00,3694.00,3695.00,1527,0\r\n2006-01-31,09:04:00,3695.00,3697.00,3695.00,3697.00,1430,0\r\n2006-01-31,09:05:00,3697.00,3699.00,3697.00,3698.00,1526,0\r\n2006-01-31,09:06:00,3698.00,3701.00,3698.00,3699.00,3635,0\r\n2006-01-31,09:07:00,3700.00,3700.00,3698.00,3698.00,1308,0\r\n2006-01-31,09:08:00,3698.00,3698.00,3696.00,3696.00,1924,0\r\n2006-01-31,09:09:00,3696.00,3701.00,3695.00,3700.00,4138,0\r\n2006-01-31,09:10:00,3701.00,3702.00,3700.00,3700.00,1806,0\r\n2006-01-31,09:11:00,3701.00,3702.00,3700.00,3702.00,1287,0\r\n2006-01-31,09:12:00,3702.00,3703.00,3701.00,3701.00,2167,0\r\n2006-01-31,09:13:00,3701.00,3701.00,3699.00,3700.00,1286,0\r\n2006-01-31,09:14:00,3699.00,3700.00,3699.00,3700.00,508,0\r\n2006-01-31,09:15:00,3700.00,3701.00,3699.00,3700.00,460,0\r\n2006-01-31,09:16:00,3700.00,3701.00,3699.00,3699.00,121,0\r\n2006-01-31,09:17:00,3699.00,3700.00,3698.00,3698.00,642,0\r\n2006-01-31,09:18:00,3699.00,3700.00,3699.00,3699.00,660,0\r\n2006-01-31,09:19:00,3699.00,3699.00,3698.00,3698.00,2664,0\r\n2006-01-31,09:20:00,3698.00,3698.00,3697.00,3697.00,275,0\r\n2006-01-31,09:21:00,3697.00,3698.00,3696.00,3697.00,1134,0\r\n2006-01-31,09:22:00,3697.00,3698.00,3697.00,3697.00,1356,0\r\n2006-01-31,09:23:00,3697.00,3698.00,3697.00,3698.00,546,0\r\n2006-01-31,09:24:00,3698.00,3701.00,3698.00,3699.00,2550,0\r\n2006-01-31,09:25:00,3700.00,3700.00,3699.00,3700.00,515,0\r\n2006-01-31,09:26:00,3700.00,3703.00,3699.00,3703.00,2607,0\r\n2006-01-31,09:27:00,3702.00,3703.00,3702.00,3703.00,1065,0\r\n2006-01-31,09:28:00,3703.00,3704.00,3703.00,3704.00,1510,0\r\n2006-01-31,09:29:00,3703.00,3705.00,3703.00,3704.00,891,0\r\n2006-01-31,09:30:00,3704.00,3705.00,3703.00,3704.00,404,0\r\n2006-01-31,09:31:00,3704.00,3704.00,3703.00,3703.00,679,0\r\n2006-01-31,09:32:00,3703.00,3704.00,3703.00,3704.00,138,0\r\n2006-01-31,09:33:00,3704.00,3705.00,3704.00,3705.00,1828,0\r\n2006-01-31,09:34:00,3704.00,3708.00,3704.00,3706.00,3858,0\r\n2006-01-31,09:35:00,3706.00,3711.00,3706.00,3711.00,5788,0\r\n2006-01-31,09:36:00,3711.00,3714.00,3711.00,3713.00,9432,0\r\n2006-01-31,09:37:00,3713.00,3714.00,3712.00,3713.00,3073,0\r\n2006-01-31,09:38:00,3713.00,3715.00,3713.00,3713.00,4129,0\r\n2006-01-31,09:39:00,3714.00,3716.00,3713.00,3715.00,3404,0\r\n2006-01-31,09:40:00,3714.00,3714.00,3713.00,3713.00,2431,0\r\n2006-01-31,09:41:00,3713.00,3713.00,3711.00,3711.00,1244,0\r\n2006-01-31,09:42:00,3712.00,3715.00,3712.00,3714.00,1576,0\r\n2006-01-31,09:43:00,3714.00,3714.00,3713.00,3713.00,715,0\r\n2006-01-31,09:44:00,3713.00,3714.00,3712.00,3714.00,1130,0\r\n2006-01-31,09:45:00,3714.00,3715.00,3713.00,3713.00,2144,0\r\n2006-01-31,09:46:00,3714.00,3714.00,3712.00,3713.00,765,0\r\n2006-01-31,09:47:00,3712.00,3713.00,3712.00,3712.00,155,0\r\n2006-01-31,09:48:00,3712.00,3713.00,3711.00,3711.00,1390,0\r\n2006-01-31,09:49:00,3711.00,3713.00,3711.00,3713.00,3531,0\r\n2006-01-31,09:50:00,3712.00,3717.00,3712.00,3716.00,3300,0\r\n2006-01-31,09:51:00,3717.00,3718.00,3715.00,3716.00,3708,0\r\n2006-01-31,09:52:00,3716.00,3716.00,3714.00,3714.00,1067,0\r\n2006-01-31,09:53:00,3715.00,3717.00,3714.00,3717.00,1940,0\r\n2006-01-31,09:54:00,3716.00,3717.00,3716.00,3716.00,1474,0\r\n2006-01-31,09:55:00,3717.00,3717.00,3716.00,3716.00,335,0\r\n2006-01-31,09:56:00,3715.00,3718.00,3715.00,3717.00,1286,0\r\n2006-01-31,09:57:00,3716.00,3717.00,3715.00,3715.00,2212,0\r\n2006-01-31,09:58:00,3715.00,3716.00,3714.00,3716.00,1217,0\r\n2006-01-31,09:59:00,3716.00,3716.00,3715.00,3716.00,1606,0\r\n2006-01-31,10:00:00,3715.00,3716.00,3715.00,3715.00,518,0\r\n2006-01-31,10:01:00,3715.00,3715.00,3713.00,3713.00,1547,0\r\n2006-01-31,10:02:00,3714.00,3715.00,3713.00,3714.00,1136,0\r\n2006-01-31,10:03:00,3713.00,3714.00,3712.00,3714.00,1060,0\r\n2006-01-31,10:04:00,3713.00,3714.00,3711.00,3711.00,2406,0\r\n2006-01-31,10:05:00,3711.00,3713.00,3711.00,3713.00,708,0\r\n2006-01-31,10:06:00,3712.00,3713.00,3712.00,3712.00,549,0\r\n2006-01-31,10:07:00,3711.00,3712.00,3710.00,3711.00,1867,0\r\n2006-01-31,10:08:00,3711.00,3712.00,3710.00,3711.00,2448,0\r\n2006-01-31,10:09:00,3711.00,3713.00,3711.00,3712.00,1451,0\r\n2006-01-31,10:10:00,3713.00,3713.00,3712.00,3712.00,1147,0\r\n2006-01-31,10:11:00,3712.00,3713.00,3712.00,3712.00,385,0\r\n2006-01-31,10:12:00,3713.00,3714.00,3712.00,3712.00,1389,0\r\n2006-01-31,10:13:00,3711.00,3712.00,3711.00,3712.00,771,0\r\n2006-01-31,10:14:00,3712.00,3713.00,3712.00,3713.00,2469,0\r\n2006-01-31,10:15:00,3713.00,3713.00,3712.00,3713.00,375,0\r\n2006-01-31,10:16:00,3713.00,3713.00,3712.00,3713.00,42,0\r\n2006-01-31,10:17:00,3712.00,3713.00,3711.00,3712.00,1694,0\r\n2006-01-31,10:18:00,3712.00,3713.00,3711.00,3711.00,2602,0\r\n2006-01-31,10:19:00,3711.00,3711.00,3710.00,3711.00,765,0\r\n2006-01-31,10:20:00,3711.00,3711.00,3710.00,3710.00,457,0\r\n2006-01-31,10:21:00,3710.00,3712.00,3710.00,3711.00,1562,0\r\n2006-01-31,10:22:00,3711.00,3712.00,3711.00,3711.00,709,0\r\n2006-01-31,10:23:00,3711.00,3712.00,3711.00,3711.00,1076,0\r\n2006-01-31,10:24:00,3711.00,3712.00,3710.00,3712.00,1149,0\r\n2006-01-31,10:25:00,3712.00,3712.00,3711.00,3711.00,64,0\r\n2006-01-31,10:26:00,3711.00,3712.00,3710.00,3710.00,81,0\r\n2006-01-31,10:27:00,3710.00,3711.00,3710.00,3711.00,1871,0\r\n2006-01-31,10:28:00,3711.00,3712.00,3711.00,3712.00,1544,0\r\n2006-01-31,10:29:00,3712.00,3712.00,3711.00,3712.00,1962,0\r\n2006-01-31,10:30:00,3712.00,3712.00,3712.00,3712.00,133,0\r\n2006-01-31,10:31:00,3712.00,3712.00,3711.00,3711.00,89,0\r\n2006-01-31,10:32:00,3711.00,3712.00,3711.00,3712.00,243,0\r\n2006-01-31,10:33:00,3712.00,3713.00,3711.00,3712.00,385,0\r\n2006-01-31,10:34:00,3712.00,3712.00,3711.00,3712.00,323,0\r\n2006-01-31,10:35:00,3712.00,3713.00,3711.00,3712.00,565,0\r\n2006-01-31,10:36:00,3713.00,3713.00,3712.00,3713.00,1010,0\r\n2006-01-31,10:37:00,3712.00,3713.00,3712.00,3713.00,677,0\r\n2006-01-31,10:38:00,3713.00,3714.00,3713.00,3713.00,1018,0\r\n2006-01-31,10:39:00,3713.00,3714.00,3713.00,3713.00,83,0\r\n2006-01-31,10:40:00,3713.00,3714.00,3713.00,3713.00,12,0\r\n2006-01-31,10:41:00,3714.00,3714.00,3712.00,3712.00,200,0\r\n2006-01-31,10:42:00,3713.00,3713.00,3712.00,3712.00,410,0\r\n2006-01-31,10:43:00,3712.00,3712.00,3712.00,3712.00,264,0\r\n2006-01-31,10:44:00,3712.00,3712.00,3710.00,3711.00,550,0\r\n2006-01-31,10:45:00,3711.00,3712.00,3710.00,3711.00,522,0\r\n2006-01-31,10:46:00,3711.00,3711.00,3709.00,3709.00,1140,0\r\n2006-01-31,10:47:00,3709.00,3712.00,3709.00,3712.00,2483,0\r\n2006-01-31,10:48:00,3712.00,3712.00,3710.00,3710.00,422,0\r\n2006-01-31,10:49:00,3711.00,3711.00,3710.00,3711.00,76,0\r\n2006-01-31,10:50:00,3710.00,3710.00,3710.00,3710.00,185,0\r\n2006-01-31,10:51:00,3710.00,3711.00,3709.00,3711.00,1245,0\r\n2006-01-31,10:52:00,3711.00,3711.00,3709.00,3710.00,654,0\r\n2006-01-31,10:53:00,3710.00,3711.00,3710.00,3711.00,710,0\r\n2006-01-31,10:54:00,3712.00,3712.00,3711.00,3711.00,141,0\r\n2006-01-31,10:55:00,3711.00,3711.00,3710.00,3710.00,59,0\r\n2006-01-31,10:56:00,3711.00,3711.00,3710.00,3710.00,58,0\r\n2006-01-31,10:57:00,3711.00,3711.00,3709.00,3710.00,1127,0\r\n2006-01-31,10:58:00,3710.00,3711.00,3710.00,3711.00,428,0\r\n2006-01-31,10:59:00,3710.00,3711.00,3710.00,3710.00,222,0\r\n2006-01-31,11:00:00,3710.00,3711.00,3710.00,3710.00,379,0\r\n2006-01-31,11:01:00,3710.00,3712.00,3709.00,3712.00,1224,0\r\n2006-01-31,11:02:00,3713.00,3715.00,3712.00,3714.00,2217,0\r\n2006-01-31,11:03:00,3713.00,3715.00,3713.00,3714.00,358,0\r\n2006-01-31,11:04:00,3714.00,3714.00,3713.00,3714.00,717,0\r\n2006-01-31,11:05:00,3714.00,3714.00,3714.00,3714.00,113,0\r\n2006-01-31,11:06:00,3715.00,3716.00,3715.00,3716.00,1088,0\r\n2006-01-31,11:07:00,3715.00,3716.00,3715.00,3715.00,798,0\r\n2006-01-31,11:08:00,3715.00,3715.00,3715.00,3715.00,130,0\r\n2006-01-31,11:09:00,3714.00,3714.00,3714.00,3714.00,133,0\r\n2006-01-31,11:10:00,3714.00,3715.00,3713.00,3713.00,414,0\r\n2006-01-31,11:11:00,3714.00,3714.00,3714.00,3714.00,648,0\r\n2006-01-31,11:12:00,3714.00,3714.00,3714.00,3714.00,315,0\r\n2006-01-31,11:13:00,3713.00,3713.00,3712.00,3713.00,336,0\r\n2006-01-31,11:14:00,3712.00,3713.00,3712.00,3713.00,543,0\r\n2006-01-31,11:15:00,3713.00,3713.00,3712.00,3712.00,46,0\r\n2006-01-31,11:16:00,3712.00,3713.00,3712.00,3712.00,742,0\r\n2006-01-31,11:17:00,3712.00,3712.00,3711.00,3712.00,533,0\r\n2006-01-31,11:18:00,3712.00,3712.00,3711.00,3712.00,382,0\r\n2006-01-31,11:19:00,3712.00,3712.00,3711.00,3711.00,76,0\r\n2006-01-31,11:20:00,3711.00,3712.00,3711.00,3712.00,1042,0\r\n2006-01-31,11:21:00,3712.00,3712.00,3711.00,3711.00,30,0\r\n2006-01-31,11:22:00,3711.00,3712.00,3711.00,3712.00,15,0\r\n2006-01-31,11:23:00,3711.00,3711.00,3711.00,3711.00,80,0\r\n2006-01-31,11:24:00,3711.00,3711.00,3710.00,3710.00,6767,0\r\n2006-01-31,11:25:00,3710.00,3710.00,3708.00,3709.00,935,0\r\n2006-01-31,11:26:00,3708.00,3710.00,3708.00,3709.00,553,0\r\n2006-01-31,11:27:00,3710.00,3710.00,3708.00,3709.00,1102,0\r\n2006-01-31,11:28:00,3709.00,3709.00,3708.00,3709.00,602,0\r\n2006-01-31,11:29:00,3708.00,3708.00,3708.00,3708.00,7146,0\r\n2006-01-31,11:30:00,3708.00,3709.00,3707.00,3709.00,1637,0\r\n2006-01-31,11:31:00,3709.00,3709.00,3708.00,3709.00,562,0\r\n2006-01-31,11:32:00,3709.00,3710.00,3709.00,3710.00,310,0\r\n2006-01-31,11:33:00,3709.00,3710.00,3709.00,3709.00,517,0\r\n2006-01-31,11:34:00,3709.00,3709.00,3708.00,3708.00,202,0\r\n2006-01-31,11:35:00,3709.00,3709.00,3708.00,3709.00,443,0\r\n2006-01-31,11:36:00,3710.00,3710.00,3708.00,3708.00,2557,0\r\n2006-01-31,11:37:00,3708.00,3708.00,3708.00,3708.00,20,0\r\n2006-01-31,11:38:00,3708.00,3708.00,3706.00,3707.00,1808,0\r\n2006-01-31,11:39:00,3707.00,3707.00,3704.00,3705.00,2826,0\r\n2006-01-31,11:40:00,3705.00,3706.00,3705.00,3705.00,869,0\r\n2006-01-31,11:41:00,3704.00,3705.00,3704.00,3705.00,524,0\r\n2006-01-31,11:42:00,3705.00,3706.00,3705.00,3705.00,33,0\r\n2006-01-31,11:43:00,3706.00,3706.00,3705.00,3706.00,30,0\r\n2006-01-31,11:44:00,3705.00,3706.00,3705.00,3706.00,478,0\r\n2006-01-31,11:45:00,3705.00,3706.00,3705.00,3706.00,122,0\r\n2006-01-31,11:46:00,3706.00,3706.00,3704.00,3704.00,937,0\r\n2006-01-31,11:47:00,3705.00,3705.00,3704.00,3705.00,459,0\r\n2006-01-31,11:48:00,3705.00,3706.00,3705.00,3706.00,953,0\r\n2006-01-31,11:49:00,3706.00,3706.00,3705.00,3705.00,1446,0\r\n2006-01-31,11:50:00,3706.00,3706.00,3705.00,3705.00,322,0\r\n2006-01-31,11:51:00,3705.00,3705.00,3704.00,3704.00,1055,0\r\n2006-01-31,11:52:00,3705.00,3705.00,3703.00,3704.00,1557,0\r\n2006-01-31,11:53:00,3704.00,3704.00,3704.00,3704.00,440,0\r\n2006-01-31,11:54:00,3704.00,3704.00,3703.00,3704.00,544,0\r\n2006-01-31,11:55:00,3704.00,3704.00,3703.00,3704.00,497,0\r\n2006-01-31,11:56:00,3704.00,3705.00,3704.00,3704.00,126,0\r\n2006-01-31,11:57:00,3704.00,3704.00,3703.00,3704.00,285,0\r\n2006-01-31,11:58:00,3703.00,3703.00,3701.00,3701.00,1883,0\r\n2006-01-31,11:59:00,3702.00,3702.00,3698.00,3699.00,3300,0\r\n2006-01-31,12:00:00,3698.00,3699.00,3698.00,3699.00,1496,0\r\n2006-01-31,12:01:00,3698.00,3699.00,3697.00,3698.00,1829,0\r\n2006-01-31,12:02:00,3698.00,3699.00,3698.00,3699.00,295,0\r\n2006-01-31,12:03:00,3699.00,3699.00,3698.00,3698.00,1894,0\r\n2006-01-31,12:04:00,3699.00,3699.00,3698.00,3699.00,184,0\r\n2006-01-31,12:05:00,3699.00,3699.00,3698.00,3698.00,1053,0\r\n2006-01-31,12:06:00,3698.00,3699.00,3697.00,3699.00,1338,0\r\n2006-01-31,12:07:00,3699.00,3699.00,3698.00,3699.00,11,0\r\n2006-01-31,12:08:00,3698.00,3699.00,3697.00,3698.00,1217,0\r\n2006-01-31,12:09:00,3697.00,3698.00,3696.00,3697.00,894,0\r\n2006-01-31,12:10:00,3697.00,3698.00,3697.00,3697.00,514,0\r\n2006-01-31,12:11:00,3697.00,3698.00,3697.00,3697.00,708,0\r\n2006-01-31,12:12:00,3698.00,3699.00,3698.00,3698.00,1474,0\r\n2006-01-31,12:13:00,3699.00,3699.00,3698.00,3699.00,62,0\r\n2006-01-31,12:14:00,3698.00,3699.00,3697.00,3697.00,520,0\r\n2006-01-31,12:15:00,3697.00,3698.00,3697.00,3698.00,316,0\r\n2006-01-31,12:16:00,3698.00,3699.00,3697.00,3698.00,1255,0\r\n2006-01-31,12:17:00,3698.00,3698.00,3697.00,3697.00,417,0\r\n2006-01-31,12:18:00,3696.00,3698.00,3696.00,3697.00,595,0\r\n2006-01-31,12:19:00,3697.00,3698.00,3696.00,3697.00,740,0\r\n2006-01-31,12:20:00,3696.00,3697.00,3695.00,3696.00,852,0\r\n2006-01-31,12:21:00,3696.00,3698.00,3695.00,3697.00,1427,0\r\n2006-01-31,12:22:00,3697.00,3698.00,3697.00,3698.00,294,0\r\n2006-01-31,12:23:00,3697.00,3698.00,3697.00,3698.00,38,0\r\n2006-01-31,12:24:00,3697.00,3698.00,3697.00,3698.00,2393,0\r\n2006-01-31,12:25:00,3697.00,3698.00,3696.00,3697.00,1307,0\r\n2006-01-31,12:26:00,3696.00,3698.00,3696.00,3698.00,627,0\r\n2006-01-31,12:27:00,3697.00,3698.00,3696.00,3697.00,860,0\r\n2006-01-31,12:28:00,3697.00,3698.00,3696.00,3696.00,690,0\r\n2006-01-31,12:29:00,3697.00,3697.00,3695.00,3697.00,1435,0\r\n2006-01-31,12:30:00,3697.00,3698.00,3697.00,3697.00,473,0\r\n2006-01-31,12:31:00,3698.00,3699.00,3697.00,3698.00,1139,0\r\n2006-01-31,12:32:00,3699.00,3699.00,3698.00,3699.00,732,0\r\n2006-01-31,12:33:00,3698.00,3698.00,3697.00,3698.00,485,0\r\n2006-01-31,12:34:00,3697.00,3698.00,3696.00,3697.00,883,0\r\n2006-01-31,12:35:00,3697.00,3697.00,3695.00,3695.00,1552,0\r\n2006-01-31,12:36:00,3696.00,3696.00,3692.00,3694.00,3903,0\r\n2006-01-31,12:37:00,3693.00,3694.00,3691.00,3692.00,1998,0\r\n2006-01-31,12:38:00,3692.00,3693.00,3691.00,3693.00,847,0\r\n2006-01-31,12:39:00,3693.00,3693.00,3692.00,3693.00,234,0\r\n2006-01-31,12:40:00,3692.00,3693.00,3692.00,3692.00,2085,0\r\n2006-01-31,12:41:00,3692.00,3693.00,3692.00,3692.00,66,0\r\n2006-01-31,12:42:00,3692.00,3692.00,3689.00,3691.00,3385,0\r\n2006-01-31,12:43:00,3690.00,3691.00,3689.00,3690.00,1520,0\r\n2006-01-31,12:44:00,3690.00,3691.00,3690.00,3691.00,1768,0\r\n2006-01-31,12:45:00,3690.00,3691.00,3687.00,3688.00,3216,0\r\n2006-01-31,12:46:00,3688.00,3688.00,3687.00,3687.00,1144,0\r\n2006-01-31,12:47:00,3687.00,3687.00,3684.00,3687.00,4442,0\r\n2006-01-31,12:48:00,3686.00,3687.00,3685.00,3687.00,604,0\r\n2006-01-31,12:49:00,3687.00,3689.00,3686.00,3689.00,797,0\r\n2006-01-31,12:50:00,3689.00,3689.00,3688.00,3688.00,1536,0\r\n2006-01-31,12:51:00,3689.00,3690.00,3688.00,3689.00,1001,0\r\n2006-01-31,12:52:00,3690.00,3690.00,3689.00,3690.00,143,0\r\n2006-01-31,12:53:00,3689.00,3692.00,3689.00,3692.00,1567,0\r\n2006-01-31,12:54:00,3691.00,3692.00,3691.00,3692.00,555,0\r\n2006-01-31,12:55:00,3692.00,3692.00,3690.00,3691.00,680,0\r\n2006-01-31,12:56:00,3691.00,3691.00,3690.00,3691.00,2274,0\r\n2006-01-31,12:57:00,3690.00,3691.00,3690.00,3690.00,58,0\r\n2006-01-31,12:58:00,3691.00,3691.00,3691.00,3691.00,777,0\r\n2006-01-31,12:59:00,3691.00,3691.00,3690.00,3690.00,352,0\r\n2006-01-31,13:00:00,3690.00,3691.00,3690.00,3690.00,47,0\r\n2006-01-31,13:01:00,3691.00,3692.00,3690.00,3691.00,390,0\r\n2006-01-31,13:02:00,3691.00,3691.00,3690.00,3691.00,302,0\r\n2006-01-31,13:03:00,3691.00,3691.00,3690.00,3690.00,583,0\r\n2006-01-31,13:04:00,3690.00,3692.00,3690.00,3692.00,1176,0\r\n2006-01-31,13:05:00,3691.00,3692.00,3691.00,3692.00,1015,0\r\n2006-01-31,13:06:00,3692.00,3693.00,3692.00,3692.00,365,0\r\n2006-01-31,13:07:00,3693.00,3693.00,3692.00,3692.00,88,0\r\n2006-01-31,13:08:00,3693.00,3693.00,3692.00,3692.00,132,0\r\n2006-01-31,13:09:00,3692.00,3693.00,3692.00,3693.00,46,0\r\n2006-01-31,13:10:00,3693.00,3693.00,3692.00,3692.00,781,0\r\n2006-01-31,13:11:00,3692.00,3693.00,3692.00,3693.00,205,0\r\n2006-01-31,13:12:00,3693.00,3695.00,3692.00,3695.00,968,0\r\n2006-01-31,13:13:00,3695.00,3695.00,3694.00,3695.00,252,0\r\n2006-01-31,13:14:00,3694.00,3695.00,3694.00,3695.00,557,0\r\n2006-01-31,13:15:00,3695.00,3696.00,3694.00,3694.00,403,0\r\n2006-01-31,13:16:00,3694.00,3695.00,3694.00,3695.00,139,0\r\n2006-01-31,13:17:00,3695.00,3695.00,3694.00,3694.00,319,0\r\n2006-01-31,13:18:00,3694.00,3695.00,3694.00,3694.00,1183,0\r\n2006-01-31,13:19:00,3694.00,3694.00,3694.00,3694.00,498,0\r\n2006-01-31,13:20:00,3694.00,3695.00,3693.00,3693.00,265,0\r\n2006-01-31,13:21:00,3694.00,3694.00,3693.00,3694.00,51,0\r\n2006-01-31,13:22:00,3693.00,3694.00,3693.00,3694.00,991,0\r\n2006-01-31,13:23:00,3694.00,3695.00,3693.00,3694.00,238,0\r\n2006-01-31,13:24:00,3694.00,3694.00,3693.00,3694.00,107,0\r\n2006-01-31,13:25:00,3693.00,3694.00,3693.00,3694.00,211,0\r\n2006-01-31,13:26:00,3693.00,3694.00,3692.00,3692.00,601,0\r\n2006-01-31,13:27:00,3693.00,3693.00,3692.00,3693.00,259,0\r\n2006-01-31,13:28:00,3694.00,3694.00,3693.00,3694.00,479,0\r\n2006-01-31,13:29:00,3694.00,3695.00,3694.00,3694.00,655,0\r\n2006-01-31,13:30:00,3694.00,3695.00,3694.00,3695.00,170,0\r\n2006-01-31,13:31:00,3695.00,3696.00,3694.00,3695.00,970,0\r\n2006-01-31,13:32:00,3694.00,3694.00,3693.00,3693.00,1699,0\r\n2006-01-31,13:33:00,3693.00,3694.00,3693.00,3693.00,80,0\r\n2006-01-31,13:34:00,3693.00,3694.00,3693.00,3693.00,80,0\r\n2006-01-31,13:35:00,3694.00,3694.00,3693.00,3693.00,614,0\r\n2006-01-31,13:36:00,3693.00,3693.00,3693.00,3693.00,106,0\r\n2006-01-31,13:37:00,3692.00,3693.00,3692.00,3693.00,12,0\r\n2006-01-31,13:38:00,3693.00,3694.00,3692.00,3692.00,424,0\r\n2006-01-31,13:39:00,3692.00,3693.00,3692.00,3693.00,19,0\r\n2006-01-31,13:40:00,3692.00,3693.00,3692.00,3693.00,131,0\r\n2006-01-31,13:41:00,3692.00,3693.00,3692.00,3693.00,5,0\r\n2006-01-31,13:42:00,3692.00,3693.00,3692.00,3693.00,198,0\r\n2006-01-31,13:43:00,3693.00,3694.00,3693.00,3694.00,417,0\r\n2006-01-31,13:44:00,3693.00,3693.00,3691.00,3691.00,1184,0\r\n2006-01-31,13:45:00,3691.00,3692.00,3691.00,3691.00,3142,0\r\n2006-01-31,13:46:00,3691.00,3692.00,3691.00,3692.00,433,0\r\n2006-01-31,13:47:00,3692.00,3692.00,3691.00,3691.00,8,0\r\n2006-01-31,13:48:00,3691.00,3692.00,3691.00,3691.00,4,0\r\n2006-01-31,13:49:00,3691.00,3691.00,3690.00,3690.00,304,0\r\n2006-01-31,13:50:00,3691.00,3691.00,3690.00,3690.00,27,0\r\n2006-01-31,13:51:00,3690.00,3691.00,3690.00,3690.00,547,0\r\n2006-01-31,13:52:00,3690.00,3692.00,3690.00,3691.00,122,0\r\n2006-01-31,13:53:00,3691.00,3692.00,3691.00,3692.00,98,0\r\n2006-01-31,13:54:00,3692.00,3692.00,3691.00,3691.00,46,0\r\n2006-01-31,13:55:00,3691.00,3692.00,3691.00,3692.00,150,0\r\n2006-01-31,13:56:00,3691.00,3692.00,3691.00,3691.00,211,0\r\n2006-01-31,13:57:00,3691.00,3692.00,3691.00,3691.00,24,0\r\n2006-01-31,13:58:00,3691.00,3691.00,3690.00,3691.00,754,0\r\n2006-01-31,13:59:00,3690.00,3690.00,3689.00,3689.00,887,0\r\n2006-01-31,14:00:00,3689.00,3689.00,3688.00,3688.00,202,0\r\n2006-01-31,14:01:00,3688.00,3689.00,3688.00,3688.00,53,0\r\n2006-01-31,14:02:00,3688.00,3689.00,3688.00,3689.00,71,0\r\n2006-01-31,14:03:00,3689.00,3690.00,3689.00,3689.00,268,0\r\n2006-01-31,14:04:00,3690.00,3691.00,3689.00,3689.00,742,0\r\n2006-01-31,14:05:00,3689.00,3690.00,3689.00,3689.00,1195,0\r\n2006-01-31,14:06:00,3689.00,3690.00,3689.00,3690.00,530,0\r\n2006-01-31,14:07:00,3690.00,3690.00,3689.00,3690.00,575,0\r\n2006-01-31,14:08:00,3690.00,3690.00,3688.00,3689.00,829,0\r\n2006-01-31,14:09:00,3689.00,3689.00,3688.00,3688.00,757,0\r\n2006-01-31,14:10:00,3687.00,3688.00,3686.00,3688.00,2513,0\r\n2006-01-31,14:11:00,3687.00,3688.00,3687.00,3688.00,650,0\r\n2006-01-31,14:12:00,3687.00,3688.00,3686.00,3687.00,1378,0\r\n2006-01-31,14:13:00,3687.00,3688.00,3687.00,3688.00,106,0\r\n2006-01-31,14:14:00,3688.00,3688.00,3687.00,3687.00,27,0\r\n2006-01-31,14:15:00,3687.00,3688.00,3687.00,3687.00,49,0\r\n2006-01-31,14:16:00,3687.00,3688.00,3687.00,3687.00,198,0\r\n2006-01-31,14:17:00,3688.00,3688.00,3686.00,3687.00,581,0\r\n2006-01-31,14:18:00,3686.00,3687.00,3686.00,3687.00,834,0\r\n2006-01-31,14:19:00,3687.00,3687.00,3686.00,3687.00,2064,0\r\n2006-01-31,14:20:00,3687.00,3688.00,3687.00,3687.00,168,0\r\n2006-01-31,14:21:00,3687.00,3688.00,3687.00,3688.00,284,0\r\n2006-01-31,14:22:00,3688.00,3689.00,3687.00,3687.00,519,0\r\n2006-01-31,14:23:00,3688.00,3688.00,3687.00,3688.00,241,0\r\n2006-01-31,14:24:00,3688.00,3688.00,3687.00,3687.00,413,0\r\n2006-01-31,14:25:00,3687.00,3689.00,3687.00,3687.00,326,0\r\n2006-01-31,14:26:00,3688.00,3688.00,3687.00,3688.00,143,0\r\n2006-01-31,14:27:00,3687.00,3688.00,3687.00,3687.00,5,0\r\n2006-01-31,14:28:00,3687.00,3688.00,3687.00,3687.00,264,0\r\n2006-01-31,14:29:00,3687.00,3687.00,3686.00,3686.00,475,0\r\n2006-01-31,14:30:00,3686.00,3687.00,3685.00,3685.00,1412,0\r\n2006-01-31,14:31:00,3685.00,3687.00,3685.00,3687.00,1352,0\r\n2006-01-31,14:32:00,3687.00,3687.00,3682.00,3683.00,4251,0\r\n2006-01-31,14:33:00,3683.00,3684.00,3682.00,3682.00,1360,0\r\n2006-01-31,14:34:00,3682.00,3683.00,3681.00,3682.00,2629,0\r\n2006-01-31,14:35:00,3682.00,3683.00,3681.00,3682.00,1326,0\r\n2006-01-31,14:36:00,3683.00,3684.00,3682.00,3683.00,3356,0\r\n2006-01-31,14:37:00,3682.00,3683.00,3681.00,3681.00,1585,0\r\n2006-01-31,14:38:00,3681.00,3683.00,3681.00,3682.00,1195,0\r\n2006-01-31,14:39:00,3682.00,3685.00,3682.00,3684.00,2108,0\r\n2006-01-31,14:40:00,3684.00,3684.00,3683.00,3683.00,733,0\r\n2006-01-31,14:41:00,3684.00,3684.00,3683.00,3683.00,74,0\r\n2006-01-31,14:42:00,3683.00,3684.00,3682.00,3684.00,979,0\r\n2006-01-31,14:43:00,3684.00,3685.00,3683.00,3683.00,461,0\r\n2006-01-31,14:44:00,3683.00,3684.00,3683.00,3683.00,455,0\r\n2006-01-31,14:45:00,3683.00,3684.00,3683.00,3684.00,188,0\r\n2006-01-31,14:46:00,3684.00,3685.00,3684.00,3685.00,64,0\r\n2006-01-31,14:47:00,3685.00,3685.00,3684.00,3685.00,163,0\r\n2006-01-31,14:48:00,3684.00,3685.00,3684.00,3685.00,122,0\r\n2006-01-31,14:49:00,3685.00,3685.00,3684.00,3684.00,367,0\r\n2006-01-31,14:50:00,3685.00,3687.00,3685.00,3687.00,1744,0\r\n2006-01-31,14:51:00,3686.00,3687.00,3686.00,3686.00,425,0\r\n2006-01-31,14:52:00,3687.00,3687.00,3686.00,3686.00,21,0\r\n2006-01-31,14:53:00,3686.00,3689.00,3686.00,3689.00,2082,0\r\n2006-01-31,14:54:00,3688.00,3689.00,3688.00,3688.00,394,0\r\n2006-01-31,14:55:00,3689.00,3690.00,3688.00,3690.00,689,0\r\n2006-01-31,14:56:00,3690.00,3690.00,3689.00,3689.00,96,0\r\n2006-01-31,14:57:00,3690.00,3691.00,3690.00,3690.00,1045,0\r\n2006-01-31,14:58:00,3690.00,3691.00,3690.00,3690.00,950,0\r\n2006-01-31,14:59:00,3690.00,3691.00,3689.00,3690.00,1472,0\r\n2006-01-31,15:00:00,3689.00,3690.00,3689.00,3689.00,138,0\r\n2006-01-31,15:01:00,3690.00,3690.00,3689.00,3690.00,852,0\r\n2006-01-31,15:02:00,3689.00,3690.00,3689.00,3690.00,101,0\r\n2006-01-31,15:03:00,3690.00,3691.00,3689.00,3690.00,995,0\r\n2006-01-31,15:04:00,3690.00,3690.00,3689.00,3690.00,195,0\r\n2006-01-31,15:05:00,3689.00,3690.00,3688.00,3689.00,751,0\r\n2006-01-31,15:06:00,3689.00,3690.00,3689.00,3690.00,644,0\r\n2006-01-31,15:07:00,3691.00,3691.00,3689.00,3690.00,355,0\r\n2006-01-31,15:08:00,3690.00,3691.00,3689.00,3691.00,238,0\r\n2006-01-31,15:09:00,3690.00,3691.00,3690.00,3691.00,189,0\r\n2006-01-31,15:10:00,3691.00,3692.00,3691.00,3692.00,833,0\r\n2006-01-31,15:11:00,3692.00,3692.00,3691.00,3691.00,1565,0\r\n2006-01-31,15:12:00,3691.00,3691.00,3690.00,3691.00,1274,0\r\n2006-01-31,15:13:00,3691.00,3692.00,3691.00,3691.00,741,0\r\n2006-01-31,15:14:00,3691.00,3692.00,3691.00,3692.00,458,0\r\n2006-01-31,15:15:00,3692.00,3692.00,3691.00,3691.00,223,0\r\n2006-01-31,15:16:00,3691.00,3691.00,3690.00,3691.00,339,0\r\n2006-01-31,15:17:00,3690.00,3691.00,3690.00,3690.00,62,0\r\n2006-01-31,15:18:00,3690.00,3691.00,3690.00,3691.00,78,0\r\n2006-01-31,15:19:00,3690.00,3691.00,3690.00,3690.00,14,0\r\n2006-01-31,15:20:00,3690.00,3691.00,3690.00,3691.00,68,0\r\n2006-01-31,15:21:00,3691.00,3691.00,3690.00,3690.00,361,0\r\n2006-01-31,15:22:00,3690.00,3691.00,3690.00,3690.00,132,0\r\n2006-01-31,15:23:00,3690.00,3691.00,3690.00,3691.00,115,0\r\n2006-01-31,15:24:00,3690.00,3691.00,3690.00,3690.00,715,0\r\n2006-01-31,15:25:00,3691.00,3692.00,3691.00,3691.00,578,0\r\n2006-01-31,15:26:00,3691.00,3692.00,3691.00,3691.00,913,0\r\n2006-01-31,15:27:00,3691.00,3692.00,3691.00,3691.00,628,0\r\n2006-01-31,15:28:00,3691.00,3692.00,3691.00,3691.00,83,0\r\n2006-01-31,15:29:00,3691.00,3692.00,3690.00,3690.00,226,0\r\n2006-01-31,15:30:00,3690.00,3691.00,3690.00,3690.00,35,0\r\n2006-01-31,15:31:00,3690.00,3691.00,3690.00,3691.00,238,0\r\n2006-01-31,15:32:00,3690.00,3691.00,3690.00,3690.00,121,0\r\n2006-01-31,15:33:00,3691.00,3691.00,3690.00,3690.00,103,0\r\n2006-01-31,15:34:00,3690.00,3691.00,3689.00,3691.00,1069,0\r\n2006-01-31,15:35:00,3691.00,3694.00,3691.00,3693.00,4000,0\r\n2006-01-31,15:36:00,3693.00,3694.00,3692.00,3693.00,2208,0\r\n2006-01-31,15:37:00,3693.00,3694.00,3693.00,3694.00,1338,0\r\n2006-01-31,15:38:00,3694.00,3694.00,3691.00,3691.00,1677,0\r\n2006-01-31,15:39:00,3692.00,3693.00,3690.00,3692.00,2206,0\r\n2006-01-31,15:40:00,3692.00,3696.00,3691.00,3695.00,5021,0\r\n2006-01-31,15:41:00,3695.00,3695.00,3694.00,3694.00,381,0\r\n2006-01-31,15:42:00,3695.00,3695.00,3693.00,3693.00,759,0\r\n2006-01-31,15:43:00,3694.00,3694.00,3692.00,3693.00,1880,0\r\n2006-01-31,15:44:00,3693.00,3694.00,3693.00,3694.00,563,0\r\n2006-01-31,15:45:00,3693.00,3696.00,3693.00,3696.00,1478,0\r\n2006-01-31,15:46:00,3695.00,3698.00,3694.00,3698.00,6984,0\r\n2006-01-31,15:47:00,3698.00,3700.00,3697.00,3698.00,3354,0\r\n2006-01-31,15:48:00,3698.00,3699.00,3697.00,3698.00,2305,0\r\n2006-01-31,15:49:00,3697.00,3699.00,3697.00,3698.00,1146,0\r\n2006-01-31,15:50:00,3697.00,3698.00,3696.00,3696.00,1138,0\r\n2006-01-31,15:51:00,3696.00,3697.00,3696.00,3696.00,1917,0\r\n2006-01-31,15:52:00,3697.00,3698.00,3696.00,3698.00,1022,0\r\n2006-01-31,15:53:00,3698.00,3698.00,3696.00,3697.00,1219,0\r\n2006-01-31,15:54:00,3697.00,3697.00,3695.00,3696.00,602,0\r\n2006-01-31,15:55:00,3695.00,3696.00,3693.00,3694.00,1245,0\r\n2006-01-31,15:56:00,3694.00,3694.00,3690.00,3691.00,2410,0\r\n2006-01-31,15:57:00,3691.00,3691.00,3688.00,3689.00,13802,0\r\n2006-01-31,15:58:00,3689.00,3690.00,3687.00,3689.00,4021,0\r\n2006-01-31,15:59:00,3689.00,3689.00,3685.00,3686.00,4209,0\r\n2006-01-31,16:00:00,3686.00,3688.00,3686.00,3688.00,2275,0\r\n2006-01-31,16:01:00,3687.00,3692.00,3687.00,3691.00,4510,0\r\n2006-01-31,16:02:00,3691.00,3691.00,3686.00,3687.00,4220,0\r\n2006-01-31,16:03:00,3688.00,3688.00,3685.00,3687.00,3529,0\r\n2006-01-31,16:04:00,3687.00,3688.00,3684.00,3685.00,3425,0\r\n2006-01-31,16:05:00,3686.00,3688.00,3685.00,3688.00,2103,0\r\n2006-01-31,16:06:00,3688.00,3689.00,3687.00,3688.00,1528,0\r\n2006-01-31,16:07:00,3689.00,3691.00,3688.00,3691.00,1531,0\r\n2006-01-31,16:08:00,3691.00,3693.00,3690.00,3692.00,1641,0\r\n2006-01-31,16:09:00,3693.00,3693.00,3691.00,3692.00,1779,0\r\n2006-01-31,16:10:00,3692.00,3693.00,3689.00,3689.00,1290,0\r\n2006-01-31,16:11:00,3689.00,3691.00,3688.00,3688.00,1769,0\r\n2006-01-31,16:12:00,3688.00,3693.00,3688.00,3692.00,2019,0\r\n2006-01-31,16:13:00,3692.00,3694.00,3692.00,3692.00,1749,0\r\n2006-01-31,16:14:00,3693.00,3694.00,3688.00,3689.00,3188,0\r\n2006-01-31,16:15:00,3689.00,3692.00,3689.00,3690.00,3045,0\r\n2006-01-31,16:16:00,3690.00,3691.00,3688.00,3690.00,2337,0\r\n2006-01-31,16:17:00,3689.00,3691.00,3688.00,3691.00,1915,0\r\n2006-01-31,16:18:00,3690.00,3690.00,3688.00,3690.00,2589,0\r\n2006-01-31,16:19:00,3690.00,3691.00,3689.00,3690.00,2042,0\r\n2006-01-31,16:20:00,3690.00,3692.00,3689.00,3692.00,4414,0\r\n2006-01-31,16:21:00,3692.00,3693.00,3689.00,3691.00,1851,0\r\n2006-01-31,16:22:00,3691.00,3693.00,3690.00,3693.00,963,0\r\n2006-01-31,16:23:00,3693.00,3694.00,3691.00,3692.00,1097,0\r\n2006-01-31,16:24:00,3691.00,3692.00,3691.00,3691.00,815,0\r\n2006-01-31,16:25:00,3690.00,3691.00,3689.00,3689.00,1863,0\r\n2006-01-31,16:26:00,3689.00,3692.00,3689.00,3692.00,1556,0\r\n2006-01-31,16:27:00,3692.00,3693.00,3691.00,3692.00,1672,0\r\n2006-01-31,16:28:00,3692.00,3692.00,3688.00,3689.00,1772,0\r\n2006-01-31,16:29:00,3689.00,3691.00,3688.00,3691.00,790,0\r\n2006-01-31,16:30:00,3690.00,3691.00,3688.00,3690.00,3052,0\r\n2006-01-31,16:31:00,3690.00,3692.00,3689.00,3689.00,3640,0\r\n2006-01-31,16:32:00,3690.00,3690.00,3689.00,3690.00,799,0\r\n2006-01-31,16:33:00,3690.00,3690.00,3688.00,3688.00,1323,0\r\n2006-01-31,16:34:00,3689.00,3689.00,3687.00,3689.00,1573,0\r\n2006-01-31,16:35:00,3689.00,3690.00,3688.00,3689.00,737,0\r\n2006-01-31,16:36:00,3689.00,3692.00,3689.00,3692.00,2868,0\r\n2006-01-31,16:37:00,3692.00,3693.00,3691.00,3693.00,1443,0\r\n2006-01-31,16:38:00,3693.00,3693.00,3690.00,3691.00,1484,0\r\n2006-01-31,16:39:00,3691.00,3693.00,3691.00,3692.00,1796,0\r\n2006-01-31,16:40:00,3692.00,3694.00,3691.00,3694.00,2776,0\r\n2006-01-31,16:41:00,3694.00,3695.00,3693.00,3694.00,2017,0\r\n2006-01-31,16:42:00,3694.00,3695.00,3692.00,3693.00,2080,0\r\n2006-01-31,16:43:00,3693.00,3694.00,3692.00,3694.00,1674,0\r\n2006-01-31,16:44:00,3694.00,3694.00,3693.00,3693.00,624,0\r\n2006-01-31,16:45:00,3694.00,3694.00,3692.00,3693.00,1934,0\r\n2006-01-31,16:46:00,3693.00,3694.00,3691.00,3694.00,1880,0\r\n2006-01-31,16:47:00,3694.00,3695.00,3693.00,3695.00,3365,0\r\n2006-01-31,16:48:00,3695.00,3696.00,3694.00,3696.00,2859,0\r\n2006-01-31,16:49:00,3695.00,3695.00,3693.00,3695.00,1992,0\r\n2006-01-31,16:50:00,3695.00,3697.00,3695.00,3697.00,2068,0\r\n2006-01-31,16:51:00,3696.00,3699.00,3696.00,3698.00,2691,0\r\n2006-01-31,16:52:00,3698.00,3699.00,3696.00,3696.00,3746,0\r\n2006-01-31,16:53:00,3697.00,3699.00,3697.00,3698.00,4130,0\r\n2006-01-31,16:54:00,3699.00,3701.00,3698.00,3701.00,4316,0\r\n2006-01-31,16:55:00,3701.00,3704.00,3701.00,3704.00,6211,0\r\n2006-01-31,16:56:00,3703.00,3704.00,3703.00,3703.00,1613,0\r\n2006-01-31,16:57:00,3703.00,3703.00,3701.00,3702.00,1711,0\r\n2006-01-31,16:58:00,3701.00,3703.00,3701.00,3702.00,1044,0\r\n2006-01-31,16:59:00,3703.00,3703.00,3702.00,3702.00,1133,0\r\n2006-01-31,17:00:00,3703.00,3703.00,3702.00,3703.00,336,0\r\n2006-01-31,17:01:00,3703.00,3704.00,3702.00,3704.00,5095,0\r\n2006-01-31,17:02:00,3703.00,3705.00,3703.00,3704.00,1238,0\r\n2006-01-31,17:03:00,3704.00,3705.00,3703.00,3705.00,1313,0\r\n2006-01-31,17:04:00,3705.00,3707.00,3705.00,3705.00,2631,0\r\n2006-01-31,17:05:00,3705.00,3706.00,3703.00,3703.00,2034,0\r\n2006-01-31,17:06:00,3704.00,3704.00,3703.00,3704.00,728,0\r\n2006-01-31,17:07:00,3703.00,3705.00,3703.00,3705.00,1185,0\r\n2006-01-31,17:08:00,3705.00,3706.00,3704.00,3705.00,1419,0\r\n2006-01-31,17:09:00,3705.00,3705.00,3703.00,3705.00,1822,0\r\n2006-01-31,17:10:00,3705.00,3707.00,3705.00,3707.00,1488,0\r\n2006-01-31,17:11:00,3707.00,3707.00,3706.00,3706.00,2133,0\r\n2006-01-31,17:12:00,3707.00,3708.00,3706.00,3706.00,2392,0\r\n2006-01-31,17:13:00,3706.00,3706.00,3703.00,3705.00,2493,0\r\n2006-01-31,17:14:00,3704.00,3705.00,3703.00,3704.00,1326,0\r\n2006-01-31,17:15:00,3704.00,3704.00,3702.00,3703.00,2338,0\r\n2006-01-31,17:16:00,3703.00,3703.00,3701.00,3702.00,2341,0\r\n2006-01-31,17:17:00,3702.00,3702.00,3699.00,3699.00,2404,0\r\n2006-01-31,17:18:00,3699.00,3700.00,3698.00,3698.00,2966,0\r\n2006-01-31,17:19:00,3698.00,3699.00,3697.00,3697.00,1383,0\r\n2006-01-31,17:20:00,3698.00,3699.00,3697.00,3697.00,1183,0\r\n2006-01-31,17:21:00,3698.00,3700.00,3697.00,3700.00,1337,0\r\n2006-01-31,17:22:00,3700.00,3700.00,3698.00,3699.00,1223,0\r\n2006-01-31,17:23:00,3699.00,3700.00,3698.00,3699.00,1123,0\r\n2006-01-31,17:24:00,3699.00,3700.00,3698.00,3699.00,1466,0\r\n2006-01-31,17:25:00,3700.00,3700.00,3698.00,3699.00,1084,0\r\n2006-01-31,17:26:00,3700.00,3703.00,3700.00,3702.00,3267,0\r\n2006-01-31,17:27:00,3703.00,3703.00,3701.00,3702.00,2421,0\r\n2006-01-31,17:28:00,3703.00,3704.00,3702.00,3704.00,4118,0\r\n2006-01-31,17:29:00,3704.00,3704.00,3703.00,3704.00,2298,0\r\n2006-01-31,17:30:00,3704.00,3706.00,3703.00,3704.00,10988,0\r\n2006-01-31,17:31:00,3704.00,3705.00,3701.00,3703.00,10419,0\r\n2006-01-31,17:32:00,3703.00,3704.00,3701.00,3702.00,3269,0\r\n2006-01-31,17:33:00,3702.00,3702.00,3701.00,3702.00,1980,0\r\n2006-01-31,17:34:00,3702.00,3703.00,3702.00,3703.00,2107,0\r\n2006-01-31,17:35:00,3703.00,3704.00,3702.00,3703.00,1087,0\r\n2006-01-31,17:36:00,3702.00,3703.00,3700.00,3700.00,1451,0\r\n2006-01-31,17:37:00,3700.00,3703.00,3700.00,3703.00,1039,0\r\n2006-01-31,17:38:00,3702.00,3703.00,3701.00,3703.00,1010,0\r\n2006-01-31,17:39:00,3702.00,3703.00,3702.00,3703.00,294,0\r\n2006-01-31,17:40:00,3703.00,3704.00,3703.00,3704.00,605,0\r\n2006-01-31,17:41:00,3703.00,3704.00,3702.00,3703.00,565,0\r\n2006-01-31,17:42:00,3702.00,3703.00,3701.00,3701.00,596,0\r\n2006-01-31,17:43:00,3701.00,3702.00,3701.00,3701.00,627,0\r\n2006-01-31,17:44:00,3701.00,3702.00,3701.00,3701.00,715,0\r\n2006-01-31,17:45:00,3702.00,3703.00,3702.00,3703.00,968,0\r\n2006-01-31,17:46:00,3703.00,3703.00,3701.00,3702.00,195,0\r\n2006-01-31,17:47:00,3702.00,3704.00,3702.00,3704.00,710,0\r\n2006-01-31,17:48:00,3704.00,3707.00,3704.00,3707.00,1160,0\r\n2006-01-31,17:49:00,3707.00,3708.00,3707.00,3707.00,1630,0\r\n2006-01-31,17:50:00,3707.00,3707.00,3705.00,3705.00,891,0\r\n2006-01-31,17:51:00,3706.00,3706.00,3705.00,3706.00,972,0\r\n2006-01-31,17:52:00,3706.00,3706.00,3705.00,3705.00,231,0\r\n2006-01-31,17:53:00,3706.00,3707.00,3705.00,3705.00,1493,0\r\n2006-01-31,17:54:00,3706.00,3706.00,3704.00,3705.00,1542,0\r\n2006-01-31,17:55:00,3705.00,3706.00,3704.00,3705.00,151,0\r\n2006-01-31,17:56:00,3704.00,3705.00,3704.00,3704.00,378,0\r\n2006-01-31,17:57:00,3704.00,3704.00,3703.00,3703.00,337,0\r\n2006-01-31,17:58:00,3703.00,3703.00,3701.00,3701.00,1211,0\r\n2006-01-31,17:59:00,3700.00,3700.00,3699.00,3700.00,1110,0\r\n2006-01-31,18:00:00,3700.00,3702.00,3700.00,3702.00,1024,0\r\n2006-01-31,18:01:00,3702.00,3703.00,3701.00,3703.00,477,0\r\n2006-01-31,18:02:00,3702.00,3704.00,3702.00,3703.00,845,0\r\n2006-01-31,18:03:00,3703.00,3703.00,3702.00,3702.00,528,0\r\n2006-01-31,18:04:00,3701.00,3703.00,3701.00,3702.00,313,0\r\n2006-01-31,18:05:00,3703.00,3703.00,3702.00,3702.00,559,0\r\n2006-01-31,18:06:00,3703.00,3704.00,3703.00,3703.00,448,0\r\n2006-01-31,18:07:00,3703.00,3703.00,3702.00,3702.00,58,0\r\n2006-01-31,18:08:00,3702.00,3702.00,3700.00,3701.00,740,0\r\n2006-01-31,18:09:00,3701.00,3701.00,3700.00,3700.00,163,0\r\n2006-01-31,18:10:00,3701.00,3702.00,3700.00,3701.00,538,0\r\n2006-01-31,18:11:00,3701.00,3701.00,3701.00,3701.00,8,0\r\n2006-01-31,18:12:00,3701.00,3702.00,3701.00,3702.00,359,0\r\n2006-01-31,18:13:00,3701.00,3701.00,3700.00,3700.00,376,0\r\n2006-01-31,18:14:00,3700.00,3700.00,3699.00,3700.00,284,0\r\n2006-01-31,18:15:00,3700.00,3700.00,3697.00,3697.00,823,0\r\n2006-01-31,18:16:00,3698.00,3698.00,3696.00,3697.00,721,0\r\n2006-01-31,18:17:00,3697.00,3698.00,3697.00,3698.00,516,0\r\n2006-01-31,18:18:00,3697.00,3698.00,3697.00,3698.00,53,0\r\n2006-01-31,18:19:00,3697.00,3698.00,3697.00,3698.00,453,0\r\n2006-01-31,18:20:00,3698.00,3698.00,3698.00,3698.00,173,0\r\n2006-01-31,18:21:00,3698.00,3698.00,3697.00,3697.00,528,0\r\n2006-01-31,18:22:00,3697.00,3697.00,3695.00,3696.00,738,0\r\n2006-01-31,18:23:00,3697.00,3698.00,3697.00,3698.00,264,0\r\n2006-01-31,18:24:00,3698.00,3698.00,3697.00,3698.00,106,0\r\n2006-01-31,18:25:00,3698.00,3699.00,3698.00,3699.00,146,0\r\n2006-01-31,18:26:00,3698.00,3698.00,3697.00,3697.00,393,0\r\n2006-01-31,18:27:00,3697.00,3697.00,3697.00,3697.00,44,0\r\n2006-01-31,18:28:00,3697.00,3697.00,3697.00,3697.00,51,0\r\n2006-01-31,18:29:00,3698.00,3698.00,3698.00,3698.00,35,0\r\n2006-01-31,18:30:00,3698.00,3699.00,3698.00,3698.00,161,0\r\n2006-01-31,18:31:00,3699.00,3699.00,3698.00,3698.00,2,0\r\n2006-01-31,18:32:00,3698.00,3698.00,3698.00,3698.00,5,0\r\n2006-01-31,18:33:00,3698.00,3699.00,3698.00,3699.00,3,0\r\n2006-01-31,18:34:00,3699.00,3699.00,3699.00,3699.00,457,0\r\n2006-01-31,18:35:00,3699.00,3699.00,3698.00,3698.00,19,0\r\n2006-01-31,18:36:00,3699.00,3699.00,3699.00,3699.00,120,0\r\n2006-01-31,18:37:00,3699.00,3700.00,3698.00,3699.00,81,0\r\n2006-01-31,18:38:00,3699.00,3699.00,3698.00,3699.00,142,0\r\n2006-01-31,18:39:00,3699.00,3699.00,3698.00,3698.00,79,0\r\n2006-01-31,18:40:00,3699.00,3700.00,3698.00,3700.00,244,0\r\n2006-01-31,18:41:00,3699.00,3700.00,3699.00,3700.00,42,0\r\n2006-01-31,18:42:00,3700.00,3700.00,3699.00,3699.00,132,0\r\n2006-01-31,18:43:00,3700.00,3704.00,3700.00,3703.00,1257,0\r\n2006-01-31,18:44:00,3703.00,3703.00,3701.00,3702.00,253,0\r\n2006-01-31,18:45:00,3702.00,3703.00,3702.00,3702.00,121,0\r\n2006-01-31,18:46:00,3702.00,3702.00,3701.00,3701.00,256,0\r\n2006-01-31,18:47:00,3701.00,3702.00,3700.00,3702.00,138,0\r\n2006-01-31,18:48:00,3702.00,3702.00,3702.00,3702.00,206,0\r\n2006-01-31,18:49:00,3703.00,3705.00,3703.00,3704.00,681,0\r\n2006-01-31,18:50:00,3704.00,3705.00,3704.00,3705.00,14,0\r\n2006-01-31,18:51:00,3704.00,3705.00,3703.00,3705.00,339,0\r\n2006-01-31,18:52:00,3704.00,3704.00,3704.00,3704.00,970,0\r\n2006-01-31,18:53:00,3704.00,3704.00,3704.00,3704.00,41,0\r\n2006-01-31,18:54:00,3704.00,3705.00,3704.00,3704.00,15,0\r\n2006-01-31,18:55:00,3704.00,3705.00,3704.00,3704.00,88,0\r\n2006-01-31,18:56:00,3704.00,3705.00,3704.00,3704.00,69,0\r\n2006-01-31,18:57:00,3704.00,3704.00,3703.00,3703.00,124,0\r\n2006-01-31,18:58:00,3703.00,3703.00,3702.00,3702.00,219,0\r\n2006-01-31,19:00:00,3702.00,3702.00,3702.00,3702.00,20,0\r\n2006-01-31,19:01:00,3701.00,3702.00,3701.00,3701.00,160,0\r\n2006-01-31,19:02:00,3701.00,3701.00,3700.00,3700.00,449,0\r\n2006-01-31,19:03:00,3700.00,3701.00,3700.00,3701.00,127,0\r\n2006-01-31,19:04:00,3700.00,3700.00,3700.00,3700.00,274,0\r\n2006-01-31,19:05:00,3699.00,3699.00,3699.00,3699.00,185,0\r\n2006-01-31,19:06:00,3699.00,3700.00,3699.00,3700.00,581,0\r\n2006-01-31,19:07:00,3701.00,3701.00,3701.00,3701.00,118,0\r\n2006-01-31,19:08:00,3701.00,3701.00,3701.00,3701.00,34,0\r\n2006-01-31,19:09:00,3700.00,3700.00,3700.00,3700.00,55,0\r\n2006-01-31,19:10:00,3700.00,3700.00,3700.00,3700.00,118,0\r\n2006-01-31,19:11:00,3700.00,3700.00,3700.00,3700.00,16,0\r\n2006-01-31,19:12:00,3701.00,3702.00,3701.00,3702.00,247,0\r\n2006-01-31,19:13:00,3702.00,3703.00,3702.00,3703.00,40,0\r\n2006-01-31,19:14:00,3703.00,3703.00,3703.00,3703.00,18,0\r\n2006-01-31,19:15:00,3703.00,3703.00,3703.00,3703.00,1,0\r\n2006-01-31,19:16:00,3703.00,3703.00,3703.00,3703.00,81,0\r\n2006-01-31,19:17:00,3702.00,3702.00,3702.00,3702.00,3,0\r\n2006-01-31,19:18:00,3702.00,3702.00,3702.00,3702.00,107,0\r\n2006-01-31,19:19:00,3702.00,3702.00,3702.00,3702.00,1,0\r\n2006-01-31,19:20:00,3702.00,3702.00,3701.00,3701.00,13,0\r\n2006-01-31,19:22:00,3701.00,3701.00,3701.00,3701.00,57,0\r\n2006-01-31,19:23:00,3701.00,3701.00,3701.00,3701.00,53,0\r\n2006-01-31,19:24:00,3700.00,3701.00,3700.00,3701.00,59,0\r\n2006-01-31,19:25:00,3701.00,3701.00,3701.00,3701.00,36,0\r\n2006-01-31,19:27:00,3701.00,3702.00,3701.00,3702.00,52,0\r\n2006-01-31,19:28:00,3701.00,3701.00,3701.00,3701.00,1,0\r\n2006-01-31,19:29:00,3702.00,3702.00,3702.00,3702.00,3,0\r\n2006-01-31,19:30:00,3701.00,3701.00,3701.00,3701.00,135,0\r\n2006-01-31,19:31:00,3701.00,3702.00,3701.00,3702.00,12,0\r\n2006-01-31,19:32:00,3701.00,3701.00,3701.00,3701.00,210,0\r\n2006-01-31,19:33:00,3701.00,3701.00,3701.00,3701.00,13,0\r\n2006-01-31,19:34:00,3701.00,3701.00,3700.00,3701.00,4,0\r\n2006-01-31,19:35:00,3701.00,3701.00,3701.00,3701.00,45,0\r\n2006-01-31,19:36:00,3701.00,3701.00,3701.00,3701.00,267,0\r\n2006-01-31,19:37:00,3701.00,3702.00,3701.00,3701.00,87,0\r\n2006-01-31,19:38:00,3702.00,3702.00,3702.00,3702.00,240,0\r\n2006-01-31,19:39:00,3702.00,3702.00,3702.00,3702.00,109,0\r\n2006-01-31,19:40:00,3702.00,3703.00,3702.00,3703.00,502,0\r\n2006-01-31,19:41:00,3703.00,3704.00,3703.00,3704.00,31,0\r\n2006-01-31,19:43:00,3704.00,3704.00,3703.00,3703.00,37,0\r\n2006-01-31,19:44:00,3703.00,3704.00,3703.00,3704.00,63,0\r\n2006-01-31,19:45:00,3704.00,3704.00,3703.00,3703.00,288,0\r\n2006-01-31,19:46:00,3704.00,3704.00,3703.00,3704.00,50,0\r\n2006-01-31,19:47:00,3704.00,3704.00,3704.00,3704.00,134,0\r\n2006-01-31,19:48:00,3704.00,3704.00,3704.00,3704.00,8,0\r\n2006-01-31,19:50:00,3703.00,3704.00,3703.00,3704.00,48,0\r\n2006-01-31,19:51:00,3705.00,3706.00,3705.00,3705.00,282,0\r\n2006-01-31,19:52:00,3705.00,3705.00,3704.00,3704.00,152,0\r\n2006-01-31,19:53:00,3704.00,3704.00,3703.00,3704.00,60,0\r\n2006-01-31,19:54:00,3704.00,3704.00,3704.00,3704.00,12,0\r\n2006-01-31,19:55:00,3705.00,3705.00,3705.00,3705.00,200,0\r\n2006-01-31,19:56:00,3705.00,3705.00,3704.00,3704.00,181,0\r\n2006-01-31,19:57:00,3705.00,3705.00,3705.00,3705.00,99,0\r\n2006-01-31,19:58:00,3704.00,3706.00,3704.00,3706.00,60,0\r\n2006-01-31,19:59:00,3705.00,3706.00,3704.00,3706.00,114,0\r\n2006-01-31,20:00:00,3705.00,3706.00,3704.00,3704.00,530,0\r\n2006-01-31,20:01:00,3704.00,3707.00,3704.00,3706.00,216,0\r\n2006-01-31,20:02:00,3706.00,3706.00,3705.00,3705.00,24,0\r\n2006-01-31,20:03:00,3706.00,3706.00,3706.00,3706.00,29,0\r\n2006-01-31,20:04:00,3706.00,3707.00,3706.00,3706.00,40,0\r\n2006-01-31,20:05:00,3706.00,3706.00,3706.00,3706.00,27,0\r\n2006-01-31,20:06:00,3705.00,3705.00,3704.00,3704.00,156,0\r\n2006-01-31,20:07:00,3704.00,3704.00,3703.00,3704.00,1045,0\r\n2006-01-31,20:08:00,3704.00,3704.00,3704.00,3704.00,10,0\r\n2006-01-31,20:09:00,3704.00,3704.00,3704.00,3704.00,2,0\r\n2006-01-31,20:10:00,3704.00,3705.00,3704.00,3705.00,163,0\r\n2006-01-31,20:11:00,3705.00,3705.00,3704.00,3704.00,27,0\r\n2006-01-31,20:12:00,3705.00,3705.00,3704.00,3704.00,24,0\r\n2006-01-31,20:13:00,3704.00,3704.00,3704.00,3704.00,70,0\r\n2006-01-31,20:14:00,3704.00,3704.00,3703.00,3704.00,161,0\r\n2006-01-31,20:15:00,3703.00,3707.00,3703.00,3704.00,594,0\r\n2006-01-31,20:16:00,3704.00,3706.00,3702.00,3705.00,1032,0\r\n2006-01-31,20:17:00,3705.00,3708.00,3700.00,3700.00,1736,0\r\n2006-01-31,20:18:00,3701.00,3703.00,3699.00,3699.00,578,0\r\n2006-01-31,20:19:00,3699.00,3701.00,3697.00,3697.00,697,0\r\n2006-01-31,20:20:00,3697.00,3697.00,3695.00,3695.00,893,0\r\n2006-01-31,20:21:00,3695.00,3695.00,3691.00,3692.00,2861,0\r\n2006-01-31,20:22:00,3691.00,3692.00,3690.00,3692.00,379,0\r\n2006-01-31,20:23:00,3692.00,3695.00,3692.00,3693.00,504,0\r\n2006-01-31,20:24:00,3693.00,3695.00,3692.00,3695.00,354,0\r\n2006-01-31,20:25:00,3694.00,3694.00,3692.00,3693.00,841,0\r\n2006-01-31,20:26:00,3694.00,3695.00,3693.00,3695.00,412,0\r\n2006-01-31,20:27:00,3695.00,3698.00,3695.00,3697.00,458,0\r\n2006-01-31,20:28:00,3698.00,3698.00,3696.00,3697.00,165,0\r\n2006-01-31,20:29:00,3697.00,3700.00,3696.00,3700.00,251,0\r\n2006-01-31,20:30:00,3700.00,3700.00,3699.00,3700.00,309,0\r\n2006-01-31,20:31:00,3700.00,3702.00,3699.00,3701.00,667,0\r\n2006-01-31,20:32:00,3702.00,3702.00,3701.00,3701.00,197,0\r\n2006-01-31,20:33:00,3701.00,3701.00,3699.00,3701.00,227,0\r\n2006-01-31,20:34:00,3701.00,3701.00,3700.00,3700.00,116,0\r\n2006-01-31,20:35:00,3700.00,3701.00,3698.00,3700.00,598,0\r\n2006-01-31,20:36:00,3701.00,3701.00,3700.00,3700.00,97,0\r\n2006-01-31,20:37:00,3700.00,3704.00,3700.00,3702.00,697,0\r\n2006-01-31,20:38:00,3702.00,3705.00,3702.00,3703.00,464,0\r\n2006-01-31,20:39:00,3703.00,3705.00,3702.00,3705.00,215,0\r\n2006-01-31,20:40:00,3704.00,3704.00,3703.00,3704.00,157,0\r\n2006-01-31,20:41:00,3705.00,3705.00,3701.00,3701.00,155,0\r\n2006-01-31,20:42:00,3700.00,3704.00,3700.00,3704.00,188,0\r\n2006-01-31,20:43:00,3704.00,3704.00,3703.00,3704.00,51,0\r\n2006-01-31,20:44:00,3703.00,3703.00,3702.00,3703.00,20,0\r\n2006-01-31,20:45:00,3702.00,3703.00,3702.00,3703.00,76,0\r\n2006-01-31,20:46:00,3703.00,3704.00,3702.00,3703.00,120,0\r\n2006-01-31,20:47:00,3703.00,3703.00,3703.00,3703.00,92,0\r\n2006-01-31,20:48:00,3703.00,3705.00,3703.00,3705.00,126,0\r\n2006-01-31,20:49:00,3704.00,3704.00,3703.00,3703.00,42,0\r\n2006-01-31,20:50:00,3703.00,3703.00,3702.00,3703.00,33,0\r\n2006-01-31,20:51:00,3703.00,3704.00,3702.00,3702.00,157,0\r\n2006-01-31,20:52:00,3702.00,3702.00,3701.00,3702.00,41,0\r\n2006-01-31,20:53:00,3702.00,3704.00,3702.00,3703.00,106,0\r\n2006-01-31,20:54:00,3702.00,3704.00,3702.00,3704.00,38,0\r\n2006-01-31,20:55:00,3705.00,3706.00,3705.00,3705.00,217,0\r\n2006-01-31,20:56:00,3705.00,3705.00,3705.00,3705.00,126,0\r\n2006-01-31,20:57:00,3705.00,3708.00,3705.00,3707.00,300,0\r\n2006-01-31,20:58:00,3706.00,3706.00,3705.00,3705.00,42,0\r\n2006-01-31,20:59:00,3705.00,3705.00,3705.00,3705.00,49,0\r\n2006-01-31,21:00:00,3706.00,3708.00,3706.00,3708.00,78,0\r\n2006-01-31,21:01:00,3708.00,3710.00,3707.00,3708.00,340,0\r\n2006-01-31,21:02:00,3708.00,3708.00,3706.00,3708.00,410,0\r\n2006-01-31,21:03:00,3707.00,3711.00,3707.00,3711.00,626,0\r\n2006-01-31,21:04:00,3711.00,3714.00,3710.00,3714.00,1525,0\r\n2006-01-31,21:05:00,3713.00,3713.00,3712.00,3712.00,368,0\r\n2006-01-31,21:06:00,3712.00,3713.00,3712.00,3713.00,309,0\r\n2006-01-31,21:07:00,3713.00,3713.00,3711.00,3712.00,304,0\r\n2006-01-31,21:08:00,3712.00,3713.00,3711.00,3713.00,168,0\r\n2006-01-31,21:09:00,3712.00,3712.00,3710.00,3711.00,173,0\r\n2006-01-31,21:10:00,3711.00,3712.00,3711.00,3711.00,87,0\r\n2006-01-31,21:11:00,3711.00,3712.00,3711.00,3712.00,3,0\r\n2006-01-31,21:12:00,3711.00,3712.00,3711.00,3712.00,87,0\r\n2006-01-31,21:13:00,3711.00,3713.00,3711.00,3712.00,149,0\r\n2006-01-31,21:14:00,3713.00,3713.00,3712.00,3712.00,413,0\r\n2006-01-31,21:15:00,3712.00,3712.00,3712.00,3712.00,185,0\r\n2006-01-31,21:16:00,3712.00,3713.00,3711.00,3711.00,228,0\r\n2006-01-31,21:17:00,3711.00,3711.00,3710.00,3710.00,67,0\r\n2006-01-31,21:18:00,3710.00,3711.00,3710.00,3711.00,92,0\r\n2006-01-31,21:19:00,3712.00,3712.00,3712.00,3712.00,123,0\r\n2006-01-31,21:20:00,3711.00,3712.00,3711.00,3712.00,37,0\r\n2006-01-31,21:21:00,3712.00,3714.00,3712.00,3714.00,76,0\r\n2006-01-31,21:22:00,3714.00,3714.00,3713.00,3713.00,78,0\r\n2006-01-31,21:23:00,3713.00,3713.00,3713.00,3713.00,123,0\r\n2006-01-31,21:24:00,3713.00,3713.00,3713.00,3713.00,4,0\r\n2006-01-31,21:25:00,3712.00,3712.00,3712.00,3712.00,30,0\r\n2006-01-31,21:26:00,3712.00,3714.00,3712.00,3714.00,168,0\r\n2006-01-31,21:27:00,3713.00,3713.00,3713.00,3713.00,12,0\r\n2006-01-31,21:28:00,3713.00,3713.00,3713.00,3713.00,137,0\r\n2006-01-31,21:29:00,3713.00,3713.00,3713.00,3713.00,29,0\r\n2006-01-31,21:30:00,3713.00,3714.00,3713.00,3714.00,116,0\r\n2006-01-31,21:31:00,3714.00,3715.00,3714.00,3715.00,558,0\r\n2006-01-31,21:32:00,3715.00,3715.00,3714.00,3715.00,489,0\r\n2006-01-31,21:33:00,3714.00,3714.00,3713.00,3714.00,91,0\r\n2006-01-31,21:34:00,3714.00,3714.00,3713.00,3713.00,58,0\r\n2006-01-31,21:35:00,3713.00,3713.00,3713.00,3713.00,44,0\r\n2006-01-31,21:36:00,3713.00,3713.00,3713.00,3713.00,220,0\r\n2006-01-31,21:37:00,3713.00,3713.00,3712.00,3712.00,37,0\r\n2006-01-31,21:38:00,3713.00,3713.00,3711.00,3711.00,115,0\r\n2006-01-31,21:39:00,3711.00,3711.00,3711.00,3711.00,19,0\r\n2006-01-31,21:40:00,3711.00,3711.00,3709.00,3710.00,242,0\r\n2006-01-31,21:41:00,3709.00,3709.00,3709.00,3709.00,73,0\r\n2006-01-31,21:42:00,3709.00,3710.00,3709.00,3709.00,41,0\r\n2006-01-31,21:43:00,3708.00,3708.00,3708.00,3708.00,111,0\r\n2006-01-31,21:44:00,3707.00,3708.00,3707.00,3707.00,56,0\r\n2006-01-31,21:45:00,3707.00,3708.00,3706.00,3707.00,63,0\r\n2006-01-31,21:46:00,3707.00,3707.00,3706.00,3707.00,51,0\r\n2006-01-31,21:47:00,3707.00,3708.00,3707.00,3708.00,16,0\r\n2006-01-31,21:48:00,3708.00,3708.00,3708.00,3708.00,33,0\r\n2006-01-31,21:50:00,3708.00,3708.00,3708.00,3708.00,3,0\r\n2006-01-31,21:51:00,3708.00,3708.00,3707.00,3708.00,67,0\r\n2006-01-31,21:52:00,3707.00,3707.00,3705.00,3706.00,40,0\r\n2006-01-31,21:53:00,3706.00,3707.00,3706.00,3707.00,81,0\r\n2006-01-31,21:54:00,3707.00,3707.00,3706.00,3706.00,192,0\r\n2006-01-31,21:55:00,3705.00,3706.00,3705.00,3706.00,212,0\r\n2006-01-31,21:56:00,3706.00,3706.00,3705.00,3705.00,24,0\r\n2006-01-31,21:57:00,3706.00,3706.00,3705.00,3705.00,209,0\r\n2006-01-31,21:58:00,3705.00,3707.00,3705.00,3707.00,48,0\r\n2006-01-31,21:59:00,3707.00,3707.00,3706.00,3707.00,149,0\r\n2006-01-31,22:00:00,3707.00,3707.00,3704.00,3704.00,595,0\r\n2006-02-01,09:01:00,3690.00,3693.00,3688.00,3692.00,8167,0\r\n2006-02-01,09:02:00,3692.00,3694.00,3691.00,3692.00,1255,0\r\n2006-02-01,09:03:00,3692.00,3692.00,3689.00,3691.00,2022,0\r\n2006-02-01,09:04:00,3691.00,3693.00,3691.00,3692.00,705,0\r\n2006-02-01,09:05:00,3693.00,3696.00,3693.00,3695.00,1377,0\r\n2006-02-01,09:06:00,3694.00,3695.00,3694.00,3694.00,1388,0\r\n2006-02-01,09:07:00,3694.00,3698.00,3694.00,3697.00,2733,0\r\n2006-02-01,09:08:00,3697.00,3698.00,3696.00,3698.00,869,0\r\n2006-02-01,09:09:00,3697.00,3698.00,3696.00,3696.00,676,0\r\n2006-02-01,09:10:00,3696.00,3697.00,3695.00,3695.00,1029,0\r\n2006-02-01,09:11:00,3695.00,3697.00,3694.00,3696.00,924,0\r\n2006-02-01,09:12:00,3697.00,3699.00,3697.00,3697.00,1979,0\r\n2006-02-01,09:13:00,3697.00,3697.00,3694.00,3695.00,2873,0\r\n2006-02-01,09:14:00,3695.00,3696.00,3693.00,3693.00,1961,0\r\n2006-02-01,09:15:00,3693.00,3694.00,3691.00,3691.00,867,0\r\n2006-02-01,09:16:00,3691.00,3692.00,3689.00,3690.00,2079,0\r\n2006-02-01,09:17:00,3691.00,3691.00,3689.00,3690.00,1516,0\r\n2006-02-01,09:18:00,3690.00,3692.00,3687.00,3688.00,3460,0\r\n2006-02-01,09:19:00,3689.00,3689.00,3687.00,3688.00,1487,0\r\n2006-02-01,09:20:00,3687.00,3688.00,3686.00,3686.00,2250,0\r\n2006-02-01,09:21:00,3687.00,3689.00,3686.00,3688.00,1190,0\r\n2006-02-01,09:22:00,3689.00,3690.00,3688.00,3690.00,898,0\r\n2006-02-01,09:23:00,3690.00,3690.00,3689.00,3690.00,1196,0\r\n2006-02-01,09:24:00,3689.00,3689.00,3687.00,3687.00,1725,0\r\n2006-02-01,09:25:00,3687.00,3688.00,3685.00,3686.00,1207,0\r\n2006-02-01,09:26:00,3685.00,3687.00,3684.00,3687.00,3149,0\r\n2006-02-01,09:27:00,3687.00,3687.00,3685.00,3685.00,2055,0\r\n2006-02-01,09:28:00,3686.00,3686.00,3683.00,3686.00,3209,0\r\n2006-02-01,09:29:00,3686.00,3689.00,3686.00,3689.00,1758,0\r\n2006-02-01,09:30:00,3688.00,3690.00,3688.00,3689.00,1210,0\r\n2006-02-01,09:31:00,3689.00,3690.00,3688.00,3689.00,900,0\r\n2006-02-01,09:32:00,3689.00,3689.00,3688.00,3688.00,1844,0\r\n2006-02-01,09:33:00,3688.00,3689.00,3687.00,3688.00,799,0\r\n2006-02-01,09:34:00,3687.00,3688.00,3687.00,3687.00,26,0\r\n2006-02-01,09:35:00,3688.00,3688.00,3687.00,3687.00,705,0\r\n2006-02-01,09:36:00,3687.00,3688.00,3686.00,3686.00,471,0\r\n2006-02-01,09:37:00,3687.00,3688.00,3687.00,3687.00,408,0\r\n2006-02-01,09:38:00,3687.00,3690.00,3687.00,3689.00,1463,0\r\n2006-02-01,09:39:00,3689.00,3689.00,3688.00,3689.00,740,0\r\n2006-02-01,09:40:00,3689.00,3690.00,3689.00,3690.00,1209,0\r\n2006-02-01,09:41:00,3690.00,3692.00,3689.00,3691.00,8065,0\r\n2006-02-01,09:42:00,3692.00,3694.00,3691.00,3693.00,2840,0\r\n2006-02-01,09:43:00,3694.00,3695.00,3693.00,3694.00,893,0\r\n2006-02-01,09:44:00,3695.00,3695.00,3693.00,3693.00,3705,0\r\n2006-02-01,09:45:00,3693.00,3694.00,3693.00,3693.00,323,0\r\n2006-02-01,09:46:00,3693.00,3693.00,3692.00,3692.00,799,0\r\n2006-02-01,09:47:00,3693.00,3693.00,3691.00,3692.00,1072,0\r\n2006-02-01,09:48:00,3691.00,3692.00,3691.00,3691.00,538,0\r\n2006-02-01,09:49:00,3691.00,3692.00,3690.00,3690.00,1322,0\r\n2006-02-01,09:50:00,3690.00,3691.00,3690.00,3690.00,463,0\r\n2006-02-01,09:51:00,3690.00,3691.00,3690.00,3690.00,858,0\r\n2006-02-01,09:52:00,3691.00,3692.00,3691.00,3692.00,318,0\r\n2006-02-01,09:53:00,3692.00,3693.00,3691.00,3692.00,164,0\r\n2006-02-01,09:54:00,3692.00,3694.00,3692.00,3694.00,511,0\r\n2006-02-01,09:55:00,3693.00,3693.00,3693.00,3693.00,179,0\r\n2006-02-01,09:56:00,3693.00,3696.00,3693.00,3695.00,1856,0\r\n2006-02-01,09:57:00,3696.00,3699.00,3696.00,3698.00,2804,0\r\n2006-02-01,09:58:00,3698.00,3698.00,3697.00,3698.00,870,0\r\n2006-02-01,09:59:00,3697.00,3699.00,3697.00,3698.00,1155,0\r\n2006-02-01,10:00:00,3698.00,3698.00,3697.00,3697.00,634,0\r\n2006-02-01,10:01:00,3697.00,3698.00,3697.00,3697.00,797,0\r\n2006-02-01,10:02:00,3696.00,3697.00,3696.00,3696.00,517,0\r\n2006-02-01,10:03:00,3696.00,3697.00,3696.00,3696.00,985,0\r\n2006-02-01,10:04:00,3696.00,3698.00,3696.00,3697.00,411,0\r\n2006-02-01,10:05:00,3696.00,3698.00,3696.00,3698.00,281,0\r\n2006-02-01,10:06:00,3698.00,3702.00,3698.00,3702.00,3809,0\r\n2006-02-01,10:07:00,3702.00,3703.00,3701.00,3701.00,2922,0\r\n2006-02-01,10:08:00,3701.00,3702.00,3701.00,3702.00,2711,0\r\n2006-02-01,10:09:00,3702.00,3704.00,3701.00,3703.00,2788,0\r\n2006-02-01,10:10:00,3703.00,3704.00,3702.00,3702.00,1894,0\r\n2006-02-01,10:11:00,3701.00,3706.00,3701.00,3706.00,2797,0\r\n2006-02-01,10:12:00,3706.00,3706.00,3703.00,3704.00,2203,0\r\n2006-02-01,10:13:00,3704.00,3705.00,3703.00,3704.00,276,0\r\n2006-02-01,10:14:00,3703.00,3704.00,3701.00,3701.00,883,0\r\n2006-02-01,10:15:00,3701.00,3702.00,3701.00,3702.00,1212,0\r\n2006-02-01,10:16:00,3703.00,3704.00,3703.00,3703.00,1172,0\r\n2006-02-01,10:17:00,3704.00,3704.00,3703.00,3703.00,833,0\r\n2006-02-01,10:18:00,3703.00,3704.00,3703.00,3703.00,1248,0\r\n2006-02-01,10:19:00,3703.00,3707.00,3703.00,3706.00,1470,0\r\n2006-02-01,10:20:00,3707.00,3710.00,3706.00,3709.00,4457,0\r\n2006-02-01,10:21:00,3708.00,3713.00,3708.00,3712.00,4818,0\r\n2006-02-01,10:22:00,3712.00,3713.00,3710.00,3711.00,2583,0\r\n2006-02-01,10:23:00,3711.00,3712.00,3710.00,3710.00,1908,0\r\n2006-02-01,10:24:00,3711.00,3716.00,3711.00,3715.00,4822,0\r\n2006-02-01,10:25:00,3716.00,3717.00,3714.00,3715.00,3876,0\r\n2006-02-01,10:26:00,3714.00,3715.00,3714.00,3714.00,1690,0\r\n2006-02-01,10:27:00,3713.00,3715.00,3713.00,3714.00,1051,0\r\n2006-02-01,10:28:00,3714.00,3715.00,3713.00,3714.00,767,0\r\n2006-02-01,10:29:00,3713.00,3713.00,3711.00,3711.00,2398,0\r\n2006-02-01,10:30:00,3711.00,3711.00,3709.00,3710.00,1975,0\r\n2006-02-01,10:31:00,3710.00,3711.00,3709.00,3711.00,1275,0\r\n2006-02-01,10:32:00,3711.00,3714.00,3710.00,3713.00,1937,0\r\n2006-02-01,10:33:00,3713.00,3713.00,3712.00,3712.00,149,0\r\n2006-02-01,10:34:00,3712.00,3716.00,3712.00,3716.00,3888,0\r\n2006-02-01,10:35:00,3716.00,3719.00,3716.00,3719.00,6415,0\r\n2006-02-01,10:36:00,3719.00,3720.00,3717.00,3717.00,3409,0\r\n2006-02-01,10:37:00,3718.00,3719.00,3716.00,3716.00,1609,0\r\n2006-02-01,10:38:00,3716.00,3716.00,3715.00,3715.00,1792,0\r\n2006-02-01,10:39:00,3716.00,3716.00,3715.00,3715.00,126,0\r\n2006-02-01,10:40:00,3715.00,3719.00,3715.00,3718.00,3178,0\r\n2006-02-01,10:41:00,3717.00,3719.00,3717.00,3717.00,3398,0\r\n2006-02-01,10:42:00,3718.00,3718.00,3716.00,3716.00,340,0\r\n2006-02-01,10:43:00,3716.00,3717.00,3715.00,3716.00,808,0\r\n2006-02-01,10:44:00,3715.00,3716.00,3713.00,3713.00,1037,0\r\n2006-02-01,10:45:00,3713.00,3715.00,3713.00,3715.00,1350,0\r\n2006-02-01,10:46:00,3715.00,3717.00,3715.00,3715.00,953,0\r\n2006-02-01,10:47:00,3716.00,3716.00,3715.00,3716.00,420,0\r\n2006-02-01,10:48:00,3715.00,3715.00,3714.00,3715.00,1382,0\r\n2006-02-01,10:49:00,3715.00,3716.00,3715.00,3715.00,735,0\r\n2006-02-01,10:50:00,3715.00,3716.00,3715.00,3716.00,643,0\r\n2006-02-01,10:51:00,3716.00,3717.00,3715.00,3715.00,1118,0\r\n2006-02-01,10:52:00,3715.00,3715.00,3714.00,3715.00,523,0\r\n2006-02-01,10:53:00,3716.00,3716.00,3715.00,3715.00,1132,0\r\n2006-02-01,10:54:00,3715.00,3715.00,3714.00,3714.00,68,0\r\n2006-02-01,10:55:00,3714.00,3714.00,3714.00,3714.00,259,0\r\n2006-02-01,10:56:00,3714.00,3715.00,3714.00,3715.00,845,0\r\n2006-02-01,10:57:00,3715.00,3716.00,3714.00,3715.00,1165,0\r\n2006-02-01,10:58:00,3714.00,3714.00,3713.00,3713.00,675,0\r\n2006-02-01,10:59:00,3712.00,3714.00,3712.00,3713.00,557,0\r\n2006-02-01,11:00:00,3713.00,3714.00,3712.00,3713.00,436,0\r\n2006-02-01,11:01:00,3712.00,3712.00,3710.00,3711.00,1554,0\r\n2006-02-01,11:02:00,3711.00,3712.00,3711.00,3712.00,892,0\r\n2006-02-01,11:03:00,3711.00,3712.00,3710.00,3712.00,1893,0\r\n2006-02-01,11:04:00,3711.00,3712.00,3710.00,3710.00,736,0\r\n2006-02-01,11:05:00,3710.00,3711.00,3709.00,3711.00,1026,0\r\n2006-02-01,11:06:00,3711.00,3712.00,3711.00,3712.00,915,0\r\n2006-02-01,11:07:00,3713.00,3713.00,3709.00,3710.00,3091,0\r\n2006-02-01,11:08:00,3709.00,3711.00,3709.00,3709.00,1072,0\r\n2006-02-01,11:09:00,3709.00,3711.00,3709.00,3710.00,875,0\r\n2006-02-01,11:10:00,3710.00,3711.00,3709.00,3710.00,786,0\r\n2006-02-01,11:11:00,3710.00,3711.00,3710.00,3711.00,671,0\r\n2006-02-01,11:12:00,3711.00,3711.00,3709.00,3709.00,429,0\r\n2006-02-01,11:13:00,3710.00,3711.00,3709.00,3711.00,1565,0\r\n2006-02-01,11:14:00,3711.00,3711.00,3711.00,3711.00,230,0\r\n2006-02-01,11:15:00,3711.00,3711.00,3710.00,3711.00,650,0\r\n2006-02-01,11:16:00,3711.00,3713.00,3711.00,3712.00,820,0\r\n2006-02-01,11:17:00,3712.00,3713.00,3712.00,3712.00,179,0\r\n2006-02-01,11:18:00,3713.00,3713.00,3711.00,3712.00,672,0\r\n2006-02-01,11:19:00,3712.00,3712.00,3712.00,3712.00,455,0\r\n2006-02-01,11:20:00,3712.00,3712.00,3712.00,3712.00,118,0\r\n2006-02-01,11:21:00,3713.00,3715.00,3713.00,3714.00,1053,0\r\n2006-02-01,11:22:00,3715.00,3715.00,3714.00,3714.00,207,0\r\n2006-02-01,11:23:00,3715.00,3716.00,3715.00,3715.00,471,0\r\n2006-02-01,11:24:00,3715.00,3715.00,3714.00,3714.00,561,0\r\n2006-02-01,11:25:00,3714.00,3714.00,3712.00,3712.00,744,0\r\n2006-02-01,11:26:00,3712.00,3712.00,3711.00,3711.00,940,0\r\n2006-02-01,11:27:00,3711.00,3711.00,3711.00,3711.00,939,0\r\n2006-02-01,11:28:00,3710.00,3710.00,3709.00,3709.00,358,0\r\n2006-02-01,11:29:00,3710.00,3711.00,3709.00,3710.00,586,0\r\n2006-02-01,11:30:00,3709.00,3710.00,3708.00,3710.00,1316,0\r\n2006-02-01,11:31:00,3710.00,3710.00,3710.00,3710.00,487,0\r\n2006-02-01,11:32:00,3710.00,3711.00,3709.00,3709.00,957,0\r\n2006-02-01,11:33:00,3708.00,3708.00,3705.00,3706.00,3536,0\r\n2006-02-01,11:34:00,3706.00,3708.00,3706.00,3707.00,1025,0\r\n2006-02-01,11:35:00,3707.00,3709.00,3707.00,3708.00,1015,0\r\n2006-02-01,11:36:00,3708.00,3709.00,3708.00,3709.00,1185,0\r\n2006-02-01,11:37:00,3709.00,3710.00,3709.00,3710.00,483,0\r\n2006-02-01,11:38:00,3710.00,3710.00,3708.00,3710.00,341,0\r\n2006-02-01,11:39:00,3710.00,3711.00,3709.00,3711.00,1079,0\r\n2006-02-01,11:40:00,3711.00,3712.00,3710.00,3711.00,538,0\r\n2006-02-01,11:41:00,3710.00,3711.00,3709.00,3711.00,365,0\r\n2006-02-01,11:42:00,3711.00,3713.00,3711.00,3713.00,685,0\r\n2006-02-01,11:43:00,3713.00,3713.00,3711.00,3711.00,538,0\r\n2006-02-01,11:44:00,3712.00,3712.00,3710.00,3710.00,166,0\r\n2006-02-01,11:45:00,3711.00,3712.00,3711.00,3712.00,1154,0\r\n2006-02-01,11:46:00,3712.00,3714.00,3712.00,3713.00,940,0\r\n2006-02-01,11:47:00,3713.00,3713.00,3712.00,3712.00,165,0\r\n2006-02-01,11:48:00,3712.00,3713.00,3712.00,3713.00,1571,0\r\n2006-02-01,11:49:00,3714.00,3715.00,3713.00,3713.00,430,0\r\n2006-02-01,11:50:00,3712.00,3713.00,3712.00,3713.00,523,0\r\n2006-02-01,11:51:00,3713.00,3715.00,3713.00,3714.00,449,0\r\n2006-02-01,11:52:00,3714.00,3714.00,3714.00,3714.00,2,0\r\n2006-02-01,11:53:00,3714.00,3715.00,3714.00,3715.00,313,0\r\n2006-02-01,11:54:00,3714.00,3715.00,3714.00,3715.00,33,0\r\n2006-02-01,11:55:00,3715.00,3715.00,3714.00,3714.00,6352,0\r\n2006-02-01,11:56:00,3715.00,3715.00,3713.00,3713.00,420,0\r\n2006-02-01,11:57:00,3713.00,3713.00,3712.00,3712.00,591,0\r\n2006-02-01,11:58:00,3712.00,3712.00,3711.00,3712.00,579,0\r\n2006-02-01,11:59:00,3712.00,3713.00,3712.00,3712.00,153,0\r\n2006-02-01,12:00:00,3713.00,3713.00,3712.00,3712.00,220,0\r\n2006-02-01,12:01:00,3712.00,3713.00,3711.00,3712.00,312,0\r\n2006-02-01,12:02:00,3712.00,3713.00,3712.00,3713.00,445,0\r\n2006-02-01,12:03:00,3712.00,3714.00,3712.00,3713.00,606,0\r\n2006-02-01,12:04:00,3713.00,3714.00,3712.00,3714.00,126,0\r\n2006-02-01,12:05:00,3713.00,3713.00,3712.00,3712.00,56,0\r\n2006-02-01,12:06:00,3713.00,3713.00,3712.00,3713.00,85,0\r\n2006-02-01,12:07:00,3712.00,3713.00,3712.00,3712.00,464,0\r\n2006-02-01,12:08:00,3712.00,3712.00,3712.00,3712.00,1073,0\r\n2006-02-01,12:09:00,3713.00,3713.00,3713.00,3713.00,689,0\r\n2006-02-01,12:10:00,3712.00,3712.00,3712.00,3712.00,383,0\r\n2006-02-01,12:11:00,3712.00,3712.00,3712.00,3712.00,2166,0\r\n2006-02-01,12:12:00,3712.00,3712.00,3712.00,3712.00,19,0\r\n2006-02-01,12:13:00,3712.00,3712.00,3711.00,3712.00,301,0\r\n2006-02-01,12:14:00,3712.00,3713.00,3712.00,3713.00,2,0\r\n2006-02-01,12:15:00,3712.00,3713.00,3712.00,3713.00,7,0\r\n2006-02-01,12:16:00,3713.00,3713.00,3712.00,3713.00,106,0\r\n2006-02-01,12:17:00,3713.00,3713.00,3712.00,3712.00,53,0\r\n2006-02-01,12:18:00,3712.00,3712.00,3711.00,3711.00,1527,0\r\n2006-02-01,12:19:00,3711.00,3711.00,3710.00,3711.00,772,0\r\n2006-02-01,12:20:00,3710.00,3710.00,3710.00,3710.00,912,0\r\n2006-02-01,12:21:00,3710.00,3711.00,3709.00,3711.00,632,0\r\n2006-02-01,12:22:00,3711.00,3711.00,3710.00,3711.00,138,0\r\n2006-02-01,12:23:00,3711.00,3712.00,3711.00,3712.00,13,0\r\n2006-02-01,12:24:00,3711.00,3712.00,3711.00,3712.00,297,0\r\n2006-02-01,12:25:00,3712.00,3712.00,3711.00,3712.00,1195,0\r\n2006-02-01,12:26:00,3712.00,3712.00,3711.00,3711.00,481,0\r\n2006-02-01,12:27:00,3711.00,3711.00,3711.00,3711.00,3,0\r\n2006-02-01,12:28:00,3711.00,3712.00,3711.00,3712.00,60,0\r\n2006-02-01,12:29:00,3712.00,3712.00,3711.00,3711.00,120,0\r\n2006-02-01,12:30:00,3712.00,3712.00,3711.00,3711.00,42,0\r\n2006-02-01,12:31:00,3711.00,3711.00,3711.00,3711.00,268,0\r\n2006-02-01,12:32:00,3711.00,3712.00,3710.00,3711.00,1645,0\r\n2006-02-01,12:33:00,3710.00,3711.00,3710.00,3711.00,360,0\r\n2006-02-01,12:34:00,3710.00,3710.00,3709.00,3710.00,168,0\r\n2006-02-01,12:35:00,3710.00,3710.00,3709.00,3710.00,303,0\r\n2006-02-01,12:36:00,3710.00,3711.00,3710.00,3710.00,152,0\r\n2006-02-01,12:37:00,3711.00,3711.00,3710.00,3711.00,69,0\r\n2006-02-01,12:38:00,3711.00,3712.00,3711.00,3712.00,613,0\r\n2006-02-01,12:39:00,3712.00,3712.00,3712.00,3712.00,131,0\r\n2006-02-01,12:40:00,3712.00,3713.00,3712.00,3712.00,105,0\r\n2006-02-01,12:41:00,3713.00,3714.00,3712.00,3713.00,760,0\r\n2006-02-01,12:42:00,3712.00,3714.00,3712.00,3714.00,738,0\r\n2006-02-01,12:43:00,3714.00,3719.00,3714.00,3718.00,3171,0\r\n2006-02-01,12:44:00,3718.00,3719.00,3717.00,3717.00,4295,0\r\n2006-02-01,12:45:00,3717.00,3717.00,3717.00,3717.00,311,0\r\n2006-02-01,12:46:00,3717.00,3717.00,3716.00,3717.00,327,0\r\n2006-02-01,12:47:00,3716.00,3717.00,3716.00,3716.00,293,0\r\n2006-02-01,12:48:00,3716.00,3716.00,3716.00,3716.00,427,0\r\n2006-02-01,12:49:00,3716.00,3717.00,3716.00,3717.00,34,0\r\n2006-02-01,12:50:00,3717.00,3718.00,3716.00,3718.00,1018,0\r\n2006-02-01,12:51:00,3718.00,3718.00,3717.00,3717.00,295,0\r\n2006-02-01,12:52:00,3717.00,3717.00,3716.00,3716.00,571,0\r\n2006-02-01,12:53:00,3717.00,3717.00,3716.00,3716.00,231,0\r\n2006-02-01,12:54:00,3716.00,3717.00,3716.00,3717.00,204,0\r\n2006-02-01,12:55:00,3716.00,3717.00,3715.00,3716.00,7905,0\r\n2006-02-01,12:56:00,3716.00,3716.00,3715.00,3715.00,34,0\r\n2006-02-01,12:57:00,3716.00,3717.00,3715.00,3717.00,122,0\r\n2006-02-01,12:58:00,3716.00,3716.00,3715.00,3715.00,147,0\r\n2006-02-01,12:59:00,3715.00,3716.00,3715.00,3716.00,149,0\r\n2006-02-01,13:00:00,3715.00,3715.00,3714.00,3714.00,545,0\r\n2006-02-01,13:01:00,3714.00,3715.00,3714.00,3715.00,187,0\r\n2006-02-01,13:02:00,3714.00,3714.00,3714.00,3714.00,578,0\r\n2006-02-01,13:03:00,3713.00,3714.00,3713.00,3713.00,1115,0\r\n2006-02-01,13:04:00,3713.00,3713.00,3713.00,3713.00,112,0\r\n2006-02-01,13:05:00,3713.00,3713.00,3713.00,3713.00,83,0\r\n2006-02-01,13:06:00,3713.00,3713.00,3713.00,3713.00,83,0\r\n2006-02-01,13:07:00,3714.00,3714.00,3713.00,3713.00,504,0\r\n2006-02-01,13:08:00,3713.00,3713.00,3713.00,3713.00,77,0\r\n2006-02-01,13:09:00,3713.00,3713.00,3713.00,3713.00,31,0\r\n2006-02-01,13:10:00,3713.00,3714.00,3713.00,3713.00,143,0\r\n2006-02-01,13:11:00,3714.00,3714.00,3714.00,3714.00,369,0\r\n2006-02-01,13:12:00,3714.00,3715.00,3714.00,3715.00,3,0\r\n2006-02-01,13:13:00,3715.00,3715.00,3714.00,3715.00,264,0\r\n2006-02-01,13:14:00,3715.00,3715.00,3715.00,3715.00,118,0\r\n2006-02-01,13:15:00,3714.00,3715.00,3714.00,3715.00,4,0\r\n2006-02-01,13:16:00,3714.00,3715.00,3714.00,3714.00,55,0\r\n2006-02-01,13:17:00,3715.00,3715.00,3714.00,3715.00,220,0\r\n2006-02-01,13:18:00,3715.00,3715.00,3714.00,3715.00,63,0\r\n2006-02-01,13:19:00,3715.00,3715.00,3715.00,3715.00,706,0\r\n2006-02-01,13:20:00,3715.00,3715.00,3715.00,3715.00,450,0\r\n2006-02-01,13:21:00,3714.00,3715.00,3714.00,3715.00,50,0\r\n2006-02-01,13:24:00,3715.00,3715.00,3715.00,3715.00,456,0\r\n2006-02-01,13:25:00,3715.00,3715.00,3714.00,3715.00,116,0\r\n2006-02-01,13:27:00,3714.00,3715.00,3714.00,3715.00,10,0\r\n2006-02-01,13:28:00,3715.00,3715.00,3714.00,3715.00,10,0\r\n2006-02-01,13:29:00,3714.00,3714.00,3714.00,3714.00,37,0\r\n2006-02-01,13:30:00,3715.00,3715.00,3714.00,3714.00,105,0\r\n2006-02-01,13:31:00,3714.00,3715.00,3714.00,3714.00,199,0\r\n2006-02-01,13:32:00,3714.00,3714.00,3714.00,3714.00,540,0\r\n2006-02-01,13:34:00,3714.00,3714.00,3713.00,3713.00,74,0\r\n2006-02-01,13:35:00,3713.00,3713.00,3712.00,3713.00,1204,0\r\n2006-02-01,13:36:00,3713.00,3714.00,3713.00,3714.00,230,0\r\n2006-02-01,13:37:00,3713.00,3713.00,3713.00,3713.00,226,0\r\n2006-02-01,13:38:00,3713.00,3713.00,3712.00,3713.00,259,0\r\n2006-02-01,13:39:00,3714.00,3714.00,3713.00,3714.00,84,0\r\n2006-02-01,13:40:00,3714.00,3714.00,3714.00,3714.00,8,0\r\n2006-02-01,13:41:00,3714.00,3715.00,3714.00,3715.00,830,0\r\n2006-02-01,13:42:00,3714.00,3715.00,3714.00,3715.00,85,0\r\n2006-02-01,13:43:00,3714.00,3715.00,3714.00,3715.00,726,0\r\n2006-02-01,13:44:00,3714.00,3716.00,3714.00,3716.00,818,0\r\n2006-02-01,13:45:00,3715.00,3715.00,3714.00,3714.00,615,0\r\n2006-02-01,13:46:00,3713.00,3715.00,3713.00,3714.00,485,0\r\n2006-02-01,13:47:00,3714.00,3714.00,3714.00,3714.00,144,0\r\n2006-02-01,13:48:00,3714.00,3714.00,3714.00,3714.00,61,0\r\n2006-02-01,13:49:00,3714.00,3714.00,3714.00,3714.00,99,0\r\n2006-02-01,13:50:00,3713.00,3714.00,3713.00,3714.00,98,0\r\n2006-02-01,13:51:00,3713.00,3714.00,3713.00,3714.00,167,0\r\n2006-02-01,13:52:00,3715.00,3715.00,3714.00,3715.00,333,0\r\n2006-02-01,13:53:00,3715.00,3716.00,3715.00,3715.00,158,0\r\n2006-02-01,13:54:00,3715.00,3716.00,3715.00,3715.00,87,0\r\n2006-02-01,13:55:00,3716.00,3716.00,3716.00,3716.00,59,0\r\n2006-02-01,13:56:00,3716.00,3716.00,3715.00,3716.00,28,0\r\n2006-02-01,13:57:00,3715.00,3715.00,3715.00,3715.00,332,0\r\n2006-02-01,13:58:00,3715.00,3716.00,3715.00,3715.00,564,0\r\n2006-02-01,13:59:00,3715.00,3716.00,3714.00,3715.00,91,0\r\n2006-02-01,14:00:00,3714.00,3715.00,3714.00,3715.00,330,0\r\n2006-02-01,14:01:00,3715.00,3716.00,3715.00,3716.00,73,0\r\n2006-02-01,14:02:00,3716.00,3717.00,3716.00,3716.00,260,0\r\n2006-02-01,14:03:00,3716.00,3716.00,3716.00,3716.00,154,0\r\n2006-02-01,14:04:00,3715.00,3716.00,3715.00,3715.00,247,0\r\n2006-02-01,14:05:00,3715.00,3715.00,3714.00,3715.00,467,0\r\n2006-02-01,14:06:00,3715.00,3715.00,3714.00,3714.00,728,0\r\n2006-02-01,14:07:00,3714.00,3715.00,3714.00,3715.00,450,0\r\n2006-02-01,14:08:00,3714.00,3714.00,3714.00,3714.00,66,0\r\n2006-02-01,14:09:00,3714.00,3714.00,3714.00,3714.00,124,0\r\n2006-02-01,14:10:00,3714.00,3714.00,3714.00,3714.00,20,0\r\n2006-02-01,14:11:00,3714.00,3714.00,3714.00,3714.00,294,0\r\n2006-02-01,14:12:00,3714.00,3714.00,3714.00,3714.00,131,0\r\n2006-02-01,14:13:00,3715.00,3715.00,3714.00,3714.00,39,0\r\n2006-02-01,14:14:00,3714.00,3714.00,3714.00,3714.00,113,0\r\n2006-02-01,14:15:00,3713.00,3714.00,3713.00,3714.00,175,0\r\n2006-02-01,14:16:00,3714.00,3715.00,3713.00,3714.00,223,0\r\n2006-02-01,14:17:00,3714.00,3715.00,3714.00,3715.00,1065,0\r\n2006-02-01,14:18:00,3714.00,3715.00,3714.00,3714.00,10,0\r\n2006-02-01,14:19:00,3714.00,3715.00,3713.00,3713.00,143,0\r\n2006-02-01,14:20:00,3713.00,3714.00,3713.00,3714.00,85,0\r\n2006-02-01,14:21:00,3713.00,3713.00,3713.00,3713.00,557,0\r\n2006-02-01,14:22:00,3712.00,3713.00,3711.00,3711.00,904,0\r\n2006-02-01,14:23:00,3710.00,3711.00,3710.00,3710.00,338,0\r\n2006-02-01,14:24:00,3710.00,3710.00,3709.00,3709.00,709,0\r\n2006-02-01,14:25:00,3709.00,3710.00,3709.00,3710.00,460,0\r\n2006-02-01,14:26:00,3711.00,3712.00,3710.00,3711.00,591,0\r\n2006-02-01,14:27:00,3710.00,3711.00,3710.00,3711.00,31,0\r\n2006-02-01,14:28:00,3710.00,3711.00,3710.00,3710.00,41,0\r\n2006-02-01,14:29:00,3710.00,3711.00,3710.00,3711.00,433,0\r\n2006-02-01,14:30:00,3710.00,3711.00,3710.00,3711.00,72,0\r\n2006-02-01,14:31:00,3710.00,3711.00,3710.00,3710.00,108,0\r\n2006-02-01,14:32:00,3710.00,3711.00,3709.00,3710.00,420,0\r\n2006-02-01,14:33:00,3710.00,3710.00,3710.00,3710.00,7,0\r\n2006-02-01,14:34:00,3711.00,3711.00,3710.00,3710.00,83,0\r\n2006-02-01,14:35:00,3710.00,3712.00,3709.00,3712.00,352,0\r\n2006-02-01,14:36:00,3711.00,3712.00,3711.00,3712.00,214,0\r\n2006-02-01,14:37:00,3712.00,3712.00,3711.00,3712.00,30,0\r\n2006-02-01,14:38:00,3711.00,3712.00,3711.00,3711.00,261,0\r\n2006-02-01,14:39:00,3711.00,3713.00,3711.00,3713.00,282,0\r\n2006-02-01,14:40:00,3712.00,3714.00,3712.00,3714.00,1491,0\r\n2006-02-01,14:41:00,3714.00,3714.00,3714.00,3714.00,206,0\r\n2006-02-01,14:42:00,3714.00,3714.00,3713.00,3713.00,220,0\r\n2006-02-01,14:43:00,3713.00,3713.00,3712.00,3713.00,2155,0\r\n2006-02-01,14:44:00,3714.00,3714.00,3713.00,3713.00,464,0\r\n2006-02-01,14:45:00,3713.00,3713.00,3712.00,3712.00,630,0\r\n2006-02-01,14:46:00,3711.00,3712.00,3711.00,3711.00,378,0\r\n2006-02-01,14:47:00,3710.00,3711.00,3710.00,3710.00,283,0\r\n2006-02-01,14:48:00,3710.00,3711.00,3710.00,3711.00,85,0\r\n2006-02-01,14:49:00,3711.00,3712.00,3711.00,3711.00,263,0\r\n2006-02-01,14:50:00,3711.00,3712.00,3711.00,3711.00,212,0\r\n2006-02-01,14:51:00,3711.00,3711.00,3710.00,3711.00,528,0\r\n2006-02-01,14:52:00,3711.00,3711.00,3710.00,3710.00,154,0\r\n2006-02-01,14:53:00,3710.00,3711.00,3710.00,3711.00,193,0\r\n2006-02-01,14:54:00,3712.00,3712.00,3712.00,3712.00,198,0\r\n2006-02-01,14:55:00,3711.00,3712.00,3711.00,3712.00,21,0\r\n2006-02-01,14:56:00,3712.00,3712.00,3712.00,3712.00,21,0\r\n2006-02-01,14:57:00,3712.00,3713.00,3712.00,3713.00,290,0\r\n2006-02-01,14:58:00,3713.00,3714.00,3713.00,3713.00,275,0\r\n2006-02-01,14:59:00,3713.00,3714.00,3713.00,3713.00,363,0\r\n2006-02-01,15:00:00,3714.00,3714.00,3712.00,3713.00,212,0\r\n2006-02-01,15:01:00,3714.00,3714.00,3713.00,3713.00,185,0\r\n2006-02-01,15:02:00,3713.00,3714.00,3713.00,3713.00,691,0\r\n2006-02-01,15:03:00,3713.00,3713.00,3713.00,3713.00,154,0\r\n2006-02-01,15:04:00,3713.00,3714.00,3713.00,3714.00,286,0\r\n2006-02-01,15:05:00,3713.00,3713.00,3712.00,3713.00,378,0\r\n2006-02-01,15:06:00,3712.00,3713.00,3711.00,3712.00,752,0\r\n2006-02-01,15:07:00,3713.00,3713.00,3713.00,3713.00,290,0\r\n2006-02-01,15:08:00,3712.00,3713.00,3712.00,3712.00,65,0\r\n2006-02-01,15:09:00,3713.00,3713.00,3712.00,3712.00,178,0\r\n2006-02-01,15:10:00,3712.00,3712.00,3712.00,3712.00,6,0\r\n2006-02-01,15:11:00,3712.00,3712.00,3710.00,3711.00,269,0\r\n2006-02-01,15:12:00,3711.00,3711.00,3711.00,3711.00,55,0\r\n2006-02-01,15:13:00,3711.00,3711.00,3711.00,3711.00,178,0\r\n2006-02-01,15:14:00,3711.00,3711.00,3710.00,3711.00,235,0\r\n2006-02-01,15:15:00,3710.00,3711.00,3710.00,3711.00,28,0\r\n2006-02-01,15:16:00,3711.00,3712.00,3711.00,3712.00,5305,0\r\n2006-02-01,15:17:00,3712.00,3713.00,3712.00,3713.00,47,0\r\n2006-02-01,15:18:00,3713.00,3714.00,3713.00,3713.00,247,0\r\n2006-02-01,15:19:00,3713.00,3715.00,3713.00,3714.00,413,0\r\n2006-02-01,15:20:00,3714.00,3715.00,3713.00,3714.00,108,0\r\n2006-02-01,15:21:00,3714.00,3714.00,3714.00,3714.00,39,0\r\n2006-02-01,15:22:00,3713.00,3714.00,3713.00,3714.00,145,0\r\n2006-02-01,15:23:00,3714.00,3714.00,3714.00,3714.00,59,0\r\n2006-02-01,15:24:00,3713.00,3713.00,3713.00,3713.00,21,0\r\n2006-02-01,15:25:00,3713.00,3714.00,3713.00,3714.00,91,0\r\n2006-02-01,15:26:00,3713.00,3713.00,3713.00,3713.00,79,0\r\n2006-02-01,15:27:00,3714.00,3714.00,3713.00,3714.00,154,0\r\n2006-02-01,15:28:00,3713.00,3714.00,3713.00,3714.00,477,0\r\n2006-02-01,15:29:00,3714.00,3714.00,3712.00,3713.00,733,0\r\n2006-02-01,15:30:00,3713.00,3713.00,3713.00,3713.00,31,0\r\n2006-02-01,15:31:00,3714.00,3714.00,3712.00,3712.00,456,0\r\n2006-02-01,15:32:00,3712.00,3714.00,3712.00,3714.00,334,0\r\n2006-02-01,15:33:00,3714.00,3715.00,3713.00,3715.00,993,0\r\n2006-02-01,15:34:00,3714.00,3716.00,3714.00,3716.00,456,0\r\n2006-02-01,15:35:00,3715.00,3715.00,3714.00,3714.00,946,0\r\n2006-02-01,15:36:00,3714.00,3714.00,3714.00,3714.00,366,0\r\n2006-02-01,15:37:00,3715.00,3716.00,3715.00,3715.00,1070,0\r\n2006-02-01,15:38:00,3715.00,3716.00,3714.00,3714.00,379,0\r\n2006-02-01,15:39:00,3714.00,3715.00,3714.00,3714.00,66,0\r\n2006-02-01,15:40:00,3715.00,3715.00,3714.00,3715.00,988,0\r\n2006-02-01,15:41:00,3714.00,3716.00,3714.00,3715.00,1165,0\r\n2006-02-01,15:42:00,3715.00,3717.00,3715.00,3717.00,4855,0\r\n2006-02-01,15:43:00,3717.00,3720.00,3717.00,3719.00,2624,0\r\n2006-02-01,15:44:00,3719.00,3719.00,3717.00,3717.00,1403,0\r\n2006-02-01,15:45:00,3717.00,3717.00,3716.00,3717.00,1292,0\r\n2006-02-01,15:46:00,3717.00,3717.00,3716.00,3716.00,965,0\r\n2006-02-01,15:47:00,3715.00,3716.00,3715.00,3716.00,1434,0\r\n2006-02-01,15:48:00,3715.00,3716.00,3714.00,3715.00,1248,0\r\n2006-02-01,15:49:00,3715.00,3716.00,3714.00,3716.00,775,0\r\n2006-02-01,15:50:00,3716.00,3716.00,3714.00,3715.00,416,0\r\n2006-02-01,15:51:00,3715.00,3715.00,3714.00,3715.00,269,0\r\n2006-02-01,15:52:00,3716.00,3716.00,3715.00,3716.00,900,0\r\n2006-02-01,15:53:00,3715.00,3715.00,3715.00,3715.00,4455,0\r\n2006-02-01,15:54:00,3715.00,3716.00,3715.00,3716.00,552,0\r\n2006-02-01,15:55:00,3716.00,3717.00,3715.00,3716.00,1391,0\r\n2006-02-01,15:56:00,3716.00,3717.00,3716.00,3716.00,802,0\r\n2006-02-01,15:57:00,3717.00,3718.00,3717.00,3718.00,842,0\r\n2006-02-01,15:58:00,3717.00,3720.00,3717.00,3718.00,1975,0\r\n2006-02-01,15:59:00,3718.00,3719.00,3717.00,3717.00,2374,0\r\n2006-02-01,16:00:00,3717.00,3717.00,3716.00,3716.00,1071,0\r\n2006-02-01,16:01:00,3716.00,3717.00,3713.00,3715.00,4425,0\r\n2006-02-01,16:02:00,3715.00,3716.00,3714.00,3716.00,1599,0\r\n2006-02-01,16:03:00,3715.00,3716.00,3714.00,3715.00,2087,0\r\n2006-02-01,16:04:00,3715.00,3717.00,3714.00,3715.00,2184,0\r\n2006-02-01,16:05:00,3715.00,3716.00,3715.00,3715.00,467,0\r\n2006-02-01,16:06:00,3715.00,3715.00,3713.00,3714.00,2931,0\r\n2006-02-01,16:07:00,3715.00,3715.00,3714.00,3714.00,457,0\r\n2006-02-01,16:08:00,3715.00,3715.00,3714.00,3715.00,1077,0\r\n2006-02-01,16:09:00,3715.00,3716.00,3715.00,3715.00,1977,0\r\n2006-02-01,16:10:00,3715.00,3717.00,3715.00,3716.00,1117,0\r\n2006-02-01,16:11:00,3716.00,3719.00,3716.00,3719.00,2301,0\r\n2006-02-01,16:12:00,3719.00,3722.00,3719.00,3721.00,4575,0\r\n2006-02-01,16:13:00,3721.00,3723.00,3720.00,3721.00,6354,0\r\n2006-02-01,16:14:00,3721.00,3721.00,3720.00,3721.00,1963,0\r\n2006-02-01,16:15:00,3720.00,3722.00,3720.00,3721.00,1056,0\r\n2006-02-01,16:16:00,3721.00,3722.00,3721.00,3722.00,1435,0\r\n2006-02-01,16:17:00,3722.00,3724.00,3722.00,3723.00,3355,0\r\n2006-02-01,16:18:00,3724.00,3727.00,3723.00,3726.00,4865,0\r\n2006-02-01,16:19:00,3726.00,3729.00,3725.00,3728.00,3437,0\r\n2006-02-01,16:20:00,3728.00,3728.00,3726.00,3727.00,3638,0\r\n2006-02-01,16:21:00,3726.00,3728.00,3726.00,3727.00,2103,0\r\n2006-02-01,16:22:00,3726.00,3728.00,3726.00,3726.00,2445,0\r\n2006-02-01,16:23:00,3726.00,3728.00,3725.00,3728.00,3129,0\r\n2006-02-01,16:24:00,3729.00,3732.00,3727.00,3732.00,5290,0\r\n2006-02-01,16:25:00,3732.00,3733.00,3731.00,3732.00,5923,0\r\n2006-02-01,16:26:00,3731.00,3736.00,3731.00,3735.00,7205,0\r\n2006-02-01,16:27:00,3735.00,3736.00,3734.00,3735.00,7913,0\r\n2006-02-01,16:28:00,3734.00,3735.00,3732.00,3733.00,3315,0\r\n2006-02-01,16:29:00,3732.00,3733.00,3731.00,3732.00,2168,0\r\n2006-02-01,16:30:00,3732.00,3734.00,3732.00,3734.00,5296,0\r\n2006-02-01,16:31:00,3734.00,3735.00,3732.00,3733.00,7867,0\r\n2006-02-01,16:32:00,3733.00,3735.00,3732.00,3735.00,2436,0\r\n2006-02-01,16:33:00,3734.00,3735.00,3733.00,3733.00,3110,0\r\n2006-02-01,16:34:00,3733.00,3735.00,3733.00,3735.00,4790,0\r\n2006-02-01,16:35:00,3736.00,3738.00,3735.00,3737.00,5090,0\r\n2006-02-01,16:36:00,3737.00,3739.00,3736.00,3736.00,4515,0\r\n2006-02-01,16:37:00,3736.00,3737.00,3735.00,3735.00,2419,0\r\n2006-02-01,16:38:00,3735.00,3736.00,3733.00,3734.00,2267,0\r\n2006-02-01,16:39:00,3734.00,3734.00,3732.00,3732.00,1844,0\r\n2006-02-01,16:40:00,3732.00,3733.00,3731.00,3733.00,5271,0\r\n2006-02-01,16:41:00,3732.00,3734.00,3732.00,3734.00,2724,0\r\n2006-02-01,16:42:00,3734.00,3734.00,3733.00,3734.00,1341,0\r\n2006-02-01,16:43:00,3733.00,3734.00,3732.00,3732.00,1413,0\r\n2006-02-01,16:44:00,3732.00,3735.00,3732.00,3735.00,3581,0\r\n2006-02-01,16:45:00,3735.00,3738.00,3734.00,3736.00,5486,0\r\n2006-02-01,16:46:00,3736.00,3736.00,3734.00,3735.00,3026,0\r\n2006-02-01,16:47:00,3735.00,3737.00,3734.00,3735.00,2469,0\r\n2006-02-01,16:48:00,3734.00,3735.00,3733.00,3733.00,843,0\r\n2006-02-01,16:49:00,3733.00,3734.00,3733.00,3733.00,1413,0\r\n2006-02-01,16:50:00,3733.00,3734.00,3733.00,3733.00,571,0\r\n2006-02-01,16:51:00,3734.00,3735.00,3733.00,3735.00,1122,0\r\n2006-02-01,16:52:00,3734.00,3735.00,3733.00,3734.00,2180,0\r\n2006-02-01,16:53:00,3734.00,3735.00,3734.00,3735.00,116,0\r\n2006-02-01,16:54:00,3734.00,3735.00,3734.00,3734.00,930,0\r\n2006-02-01,16:55:00,3734.00,3737.00,3733.00,3736.00,3803,0\r\n2006-02-01,16:56:00,3736.00,3737.00,3735.00,3737.00,2812,0\r\n2006-02-01,16:57:00,3736.00,3737.00,3734.00,3736.00,984,0\r\n2006-02-01,16:58:00,3736.00,3737.00,3735.00,3737.00,964,0\r\n2006-02-01,16:59:00,3737.00,3737.00,3735.00,3736.00,2768,0\r\n2006-02-01,17:00:00,3735.00,3736.00,3735.00,3735.00,977,0\r\n2006-02-01,17:01:00,3736.00,3739.00,3735.00,3738.00,3240,0\r\n2006-02-01,17:02:00,3737.00,3738.00,3736.00,3738.00,2146,0\r\n2006-02-01,17:03:00,3738.00,3738.00,3735.00,3736.00,1720,0\r\n2006-02-01,17:04:00,3737.00,3739.00,3736.00,3738.00,2306,0\r\n2006-02-01,17:05:00,3738.00,3739.00,3737.00,3738.00,1633,0\r\n2006-02-01,17:06:00,3737.00,3738.00,3737.00,3738.00,1563,0\r\n2006-02-01,17:07:00,3738.00,3738.00,3736.00,3736.00,1166,0\r\n2006-02-01,17:08:00,3736.00,3738.00,3736.00,3738.00,2400,0\r\n2006-02-01,17:09:00,3738.00,3739.00,3737.00,3738.00,3808,0\r\n2006-02-01,17:10:00,3738.00,3738.00,3737.00,3737.00,633,0\r\n2006-02-01,17:11:00,3738.00,3738.00,3736.00,3738.00,1887,0\r\n2006-02-01,17:12:00,3737.00,3738.00,3737.00,3737.00,4692,0\r\n2006-02-01,17:13:00,3737.00,3739.00,3736.00,3738.00,2516,0\r\n2006-02-01,17:14:00,3738.00,3739.00,3737.00,3738.00,1146,0\r\n2006-02-01,17:15:00,3738.00,3738.00,3737.00,3738.00,810,0\r\n2006-02-01,17:16:00,3737.00,3738.00,3735.00,3736.00,2616,0\r\n2006-02-01,17:17:00,3736.00,3737.00,3734.00,3734.00,5028,0\r\n2006-02-01,17:18:00,3734.00,3735.00,3733.00,3734.00,3154,0\r\n2006-02-01,17:19:00,3734.00,3734.00,3732.00,3732.00,5403,0\r\n2006-02-01,17:20:00,3732.00,3733.00,3732.00,3733.00,2060,0\r\n2006-02-01,17:21:00,3732.00,3733.00,3731.00,3732.00,1938,0\r\n2006-02-01,17:22:00,3731.00,3732.00,3730.00,3730.00,3669,0\r\n2006-02-01,17:23:00,3731.00,3731.00,3730.00,3731.00,4519,0\r\n2006-02-01,17:24:00,3732.00,3732.00,3730.00,3731.00,1169,0\r\n2006-02-01,17:25:00,3730.00,3731.00,3730.00,3731.00,837,0\r\n2006-02-01,17:26:00,3731.00,3731.00,3726.00,3726.00,4942,0\r\n2006-02-01,17:27:00,3727.00,3729.00,3726.00,3728.00,5112,0\r\n2006-02-01,17:28:00,3729.00,3729.00,3728.00,3728.00,1200,0\r\n2006-02-01,17:29:00,3729.00,3730.00,3728.00,3730.00,4744,0\r\n2006-02-01,17:30:00,3731.00,3733.00,3730.00,3732.00,5325,0\r\n2006-02-01,17:31:00,3733.00,3733.00,3731.00,3732.00,5830,0\r\n2006-02-01,17:32:00,3732.00,3732.00,3731.00,3732.00,1384,0\r\n2006-02-01,17:33:00,3732.00,3733.00,3731.00,3733.00,2519,0\r\n2006-02-01,17:34:00,3732.00,3733.00,3732.00,3733.00,3530,0\r\n2006-02-01,17:35:00,3733.00,3734.00,3732.00,3733.00,1001,0\r\n2006-02-01,17:36:00,3733.00,3735.00,3733.00,3735.00,2371,0\r\n2006-02-01,17:37:00,3735.00,3736.00,3734.00,3735.00,2338,0\r\n2006-02-01,17:38:00,3735.00,3736.00,3734.00,3735.00,576,0\r\n2006-02-01,17:39:00,3735.00,3738.00,3734.00,3738.00,1807,0\r\n2006-02-01,17:40:00,3738.00,3738.00,3736.00,3737.00,1103,0\r\n2006-02-01,17:41:00,3737.00,3742.00,3736.00,3739.00,4187,0\r\n2006-02-01,17:42:00,3738.00,3739.00,3736.00,3737.00,1652,0\r\n2006-02-01,17:43:00,3737.00,3738.00,3736.00,3736.00,570,0\r\n2006-02-01,17:44:00,3736.00,3736.00,3734.00,3735.00,2260,0\r\n2006-02-01,17:45:00,3735.00,3736.00,3735.00,3736.00,1136,0\r\n2006-02-01,17:46:00,3736.00,3736.00,3735.00,3735.00,1899,0\r\n2006-02-01,17:47:00,3735.00,3736.00,3735.00,3736.00,211,0\r\n2006-02-01,17:48:00,3736.00,3737.00,3736.00,3737.00,330,0\r\n2006-02-01,17:49:00,3737.00,3737.00,3735.00,3735.00,825,0\r\n2006-02-01,17:50:00,3736.00,3737.00,3736.00,3736.00,713,0\r\n2006-02-01,17:51:00,3736.00,3737.00,3736.00,3736.00,759,0\r\n2006-02-01,17:52:00,3737.00,3737.00,3737.00,3737.00,672,0\r\n2006-02-01,17:53:00,3738.00,3741.00,3738.00,3740.00,1878,0\r\n2006-02-01,17:54:00,3740.00,3741.00,3740.00,3741.00,1770,0\r\n2006-02-01,17:55:00,3742.00,3744.00,3742.00,3744.00,2640,0\r\n2006-02-01,17:56:00,3744.00,3745.00,3742.00,3743.00,1614,0\r\n2006-02-01,17:57:00,3743.00,3744.00,3742.00,3743.00,932,0\r\n2006-02-01,17:58:00,3743.00,3743.00,3740.00,3740.00,1155,0\r\n2006-02-01,17:59:00,3740.00,3742.00,3740.00,3741.00,841,0\r\n2006-02-01,18:00:00,3740.00,3741.00,3740.00,3741.00,1216,0\r\n2006-02-01,18:01:00,3740.00,3741.00,3740.00,3741.00,1514,0\r\n2006-02-01,18:02:00,3741.00,3741.00,3739.00,3741.00,606,0\r\n2006-02-01,18:03:00,3741.00,3741.00,3740.00,3740.00,831,0\r\n2006-02-01,18:04:00,3740.00,3741.00,3740.00,3740.00,324,0\r\n2006-02-01,18:05:00,3740.00,3741.00,3739.00,3741.00,329,0\r\n2006-02-01,18:06:00,3740.00,3740.00,3740.00,3740.00,124,0\r\n2006-02-01,18:07:00,3740.00,3740.00,3739.00,3740.00,812,0\r\n2006-02-01,18:08:00,3739.00,3740.00,3738.00,3740.00,422,0\r\n2006-02-01,18:09:00,3740.00,3740.00,3739.00,3739.00,183,0\r\n2006-02-01,18:10:00,3739.00,3739.00,3739.00,3739.00,213,0\r\n2006-02-01,18:11:00,3740.00,3740.00,3739.00,3739.00,181,0\r\n2006-02-01,18:12:00,3739.00,3740.00,3738.00,3738.00,350,0\r\n2006-02-01,18:13:00,3738.00,3738.00,3735.00,3735.00,1832,0\r\n2006-02-01,18:14:00,3735.00,3737.00,3735.00,3737.00,474,0\r\n2006-02-01,18:15:00,3737.00,3738.00,3737.00,3738.00,103,0\r\n2006-02-01,18:16:00,3737.00,3738.00,3737.00,3738.00,21,0\r\n2006-02-01,18:17:00,3738.00,3738.00,3737.00,3737.00,176,0\r\n2006-02-01,18:18:00,3737.00,3737.00,3736.00,3736.00,412,0\r\n2006-02-01,18:19:00,3737.00,3737.00,3735.00,3736.00,169,0\r\n2006-02-01,18:20:00,3736.00,3736.00,3735.00,3735.00,147,0\r\n2006-02-01,18:21:00,3735.00,3738.00,3735.00,3737.00,159,0\r\n2006-02-01,18:22:00,3737.00,3738.00,3737.00,3737.00,162,0\r\n2006-02-01,18:23:00,3736.00,3737.00,3736.00,3737.00,45,0\r\n2006-02-01,18:24:00,3737.00,3739.00,3737.00,3739.00,682,0\r\n2006-02-01,18:25:00,3739.00,3739.00,3738.00,3739.00,308,0\r\n2006-02-01,18:26:00,3739.00,3741.00,3739.00,3741.00,435,0\r\n2006-02-01,18:27:00,3740.00,3743.00,3740.00,3743.00,598,0\r\n2006-02-01,18:28:00,3742.00,3743.00,3741.00,3741.00,920,0\r\n2006-02-01,18:29:00,3741.00,3743.00,3741.00,3743.00,194,0\r\n2006-02-01,18:30:00,3743.00,3743.00,3742.00,3742.00,118,0\r\n2006-02-01,18:31:00,3743.00,3744.00,3743.00,3743.00,1089,0\r\n2006-02-01,18:32:00,3744.00,3744.00,3743.00,3743.00,779,0\r\n2006-02-01,18:33:00,3743.00,3743.00,3743.00,3743.00,552,0\r\n2006-02-01,18:34:00,3742.00,3743.00,3742.00,3742.00,118,0\r\n2006-02-01,18:35:00,3743.00,3745.00,3742.00,3744.00,265,0\r\n2006-02-01,18:36:00,3744.00,3744.00,3743.00,3744.00,233,0\r\n2006-02-01,18:37:00,3744.00,3746.00,3743.00,3744.00,2758,0\r\n2006-02-01,18:38:00,3744.00,3745.00,3742.00,3742.00,909,0\r\n2006-02-01,18:39:00,3743.00,3744.00,3743.00,3744.00,221,0\r\n2006-02-01,18:40:00,3745.00,3745.00,3743.00,3743.00,86,0\r\n2006-02-01,18:41:00,3742.00,3742.00,3742.00,3742.00,269,0\r\n2006-02-01,18:42:00,3743.00,3743.00,3741.00,3742.00,419,0\r\n2006-02-01,18:43:00,3743.00,3743.00,3743.00,3743.00,2,0\r\n2006-02-01,18:44:00,3743.00,3743.00,3742.00,3743.00,345,0\r\n2006-02-01,18:45:00,3743.00,3744.00,3743.00,3743.00,140,0\r\n2006-02-01,18:46:00,3744.00,3745.00,3744.00,3744.00,262,0\r\n2006-02-01,18:47:00,3744.00,3745.00,3743.00,3744.00,99,0\r\n2006-02-01,18:48:00,3744.00,3744.00,3744.00,3744.00,6,0\r\n2006-02-01,18:49:00,3744.00,3744.00,3744.00,3744.00,126,0\r\n2006-02-01,18:50:00,3743.00,3743.00,3742.00,3742.00,302,0\r\n2006-02-01,18:51:00,3742.00,3743.00,3742.00,3743.00,11,0\r\n2006-02-01,18:52:00,3743.00,3743.00,3742.00,3742.00,195,0\r\n2006-02-01,18:53:00,3742.00,3742.00,3742.00,3742.00,77,0\r\n2006-02-01,18:54:00,3742.00,3742.00,3742.00,3742.00,104,0\r\n2006-02-01,18:55:00,3743.00,3743.00,3742.00,3743.00,7,0\r\n2006-02-01,18:56:00,3743.00,3743.00,3742.00,3743.00,8,0\r\n2006-02-01,18:57:00,3743.00,3744.00,3742.00,3744.00,675,0\r\n2006-02-01,18:58:00,3744.00,3744.00,3744.00,3744.00,9,0\r\n2006-02-01,18:59:00,3744.00,3744.00,3742.00,3742.00,287,0\r\n2006-02-01,19:00:00,3741.00,3741.00,3741.00,3741.00,521,0\r\n2006-02-01,19:01:00,3740.00,3741.00,3740.00,3740.00,365,0\r\n2006-02-01,19:02:00,3740.00,3740.00,3740.00,3740.00,343,0\r\n2006-02-01,19:03:00,3740.00,3740.00,3740.00,3740.00,273,0\r\n2006-02-01,19:04:00,3740.00,3741.00,3740.00,3741.00,376,0\r\n2006-02-01,19:05:00,3741.00,3741.00,3739.00,3739.00,277,0\r\n2006-02-01,19:06:00,3739.00,3741.00,3739.00,3741.00,450,0\r\n2006-02-01,19:07:00,3741.00,3741.00,3740.00,3740.00,201,0\r\n2006-02-01,19:08:00,3740.00,3741.00,3740.00,3741.00,48,0\r\n2006-02-01,19:09:00,3741.00,3741.00,3741.00,3741.00,3,0\r\n2006-02-01,19:10:00,3741.00,3743.00,3741.00,3742.00,119,0\r\n2006-02-01,19:11:00,3742.00,3742.00,3742.00,3742.00,50,0\r\n2006-02-01,19:12:00,3741.00,3743.00,3741.00,3743.00,83,0\r\n2006-02-01,19:13:00,3743.00,3743.00,3742.00,3742.00,285,0\r\n2006-02-01,19:14:00,3742.00,3742.00,3742.00,3742.00,201,0\r\n2006-02-01,19:15:00,3741.00,3741.00,3740.00,3740.00,431,0\r\n2006-02-01,19:16:00,3740.00,3740.00,3739.00,3740.00,366,0\r\n2006-02-01,19:17:00,3740.00,3740.00,3737.00,3738.00,433,0\r\n2006-02-01,19:18:00,3738.00,3739.00,3737.00,3739.00,176,0\r\n2006-02-01,19:19:00,3738.00,3738.00,3738.00,3738.00,110,0\r\n2006-02-01,19:20:00,3738.00,3738.00,3736.00,3736.00,302,0\r\n2006-02-01,19:21:00,3736.00,3737.00,3736.00,3737.00,547,0\r\n2006-02-01,19:22:00,3737.00,3737.00,3736.00,3736.00,265,0\r\n2006-02-01,19:23:00,3736.00,3736.00,3735.00,3736.00,437,0\r\n2006-02-01,19:24:00,3737.00,3739.00,3736.00,3738.00,458,0\r\n2006-02-01,19:25:00,3738.00,3738.00,3737.00,3737.00,200,0\r\n2006-02-01,19:26:00,3738.00,3738.00,3737.00,3737.00,44,0\r\n2006-02-01,19:27:00,3737.00,3737.00,3737.00,3737.00,48,0\r\n2006-02-01,19:28:00,3736.00,3736.00,3735.00,3736.00,155,0\r\n2006-02-01,19:29:00,3736.00,3737.00,3736.00,3737.00,383,0\r\n2006-02-01,19:30:00,3737.00,3738.00,3737.00,3738.00,225,0\r\n2006-02-01,19:31:00,3737.00,3737.00,3736.00,3737.00,114,0\r\n2006-02-01,19:32:00,3737.00,3737.00,3737.00,3737.00,52,0\r\n2006-02-01,19:33:00,3737.00,3738.00,3736.00,3737.00,305,0\r\n2006-02-01,19:34:00,3737.00,3737.00,3736.00,3736.00,191,0\r\n2006-02-01,19:35:00,3735.00,3736.00,3734.00,3735.00,572,0\r\n2006-02-01,19:36:00,3735.00,3735.00,3733.00,3734.00,656,0\r\n2006-02-01,19:37:00,3734.00,3735.00,3733.00,3735.00,270,0\r\n2006-02-01,19:38:00,3734.00,3735.00,3734.00,3734.00,561,0\r\n2006-02-01,19:39:00,3735.00,3735.00,3734.00,3734.00,22,0\r\n2006-02-01,19:40:00,3735.00,3735.00,3733.00,3735.00,573,0\r\n2006-02-01,19:41:00,3734.00,3734.00,3734.00,3734.00,132,0\r\n2006-02-01,19:42:00,3734.00,3734.00,3733.00,3733.00,308,0\r\n2006-02-01,19:43:00,3733.00,3735.00,3733.00,3734.00,932,0\r\n2006-02-01,19:44:00,3733.00,3734.00,3733.00,3734.00,160,0\r\n2006-02-01,19:45:00,3734.00,3734.00,3733.00,3734.00,807,0\r\n2006-02-01,19:46:00,3734.00,3734.00,3732.00,3733.00,679,0\r\n2006-02-01,19:47:00,3733.00,3733.00,3733.00,3733.00,52,0\r\n2006-02-01,19:48:00,3733.00,3733.00,3731.00,3731.00,264,0\r\n2006-02-01,19:49:00,3732.00,3733.00,3732.00,3733.00,524,0\r\n2006-02-01,19:50:00,3732.00,3733.00,3731.00,3733.00,524,0\r\n2006-02-01,19:51:00,3733.00,3734.00,3732.00,3734.00,89,0\r\n2006-02-01,19:52:00,3734.00,3734.00,3733.00,3734.00,357,0\r\n2006-02-01,19:53:00,3735.00,3735.00,3734.00,3734.00,131,0\r\n2006-02-01,19:54:00,3734.00,3735.00,3733.00,3735.00,92,0\r\n2006-02-01,19:55:00,3735.00,3737.00,3735.00,3736.00,455,0\r\n2006-02-01,19:56:00,3736.00,3737.00,3736.00,3736.00,203,0\r\n2006-02-01,19:57:00,3736.00,3736.00,3735.00,3735.00,124,0\r\n2006-02-01,19:58:00,3734.00,3735.00,3734.00,3735.00,376,0\r\n2006-02-01,19:59:00,3735.00,3737.00,3734.00,3737.00,88,0\r\n2006-02-01,20:00:00,3736.00,3738.00,3736.00,3736.00,165,0\r\n2006-02-01,20:01:00,3736.00,3737.00,3736.00,3737.00,116,0\r\n2006-02-01,20:02:00,3738.00,3740.00,3738.00,3738.00,288,0\r\n2006-02-01,20:03:00,3737.00,3738.00,3737.00,3738.00,30,0\r\n2006-02-01,20:04:00,3738.00,3739.00,3738.00,3738.00,277,0\r\n2006-02-01,20:05:00,3738.00,3738.00,3738.00,3738.00,99,0\r\n2006-02-01,20:06:00,3738.00,3738.00,3738.00,3738.00,4,0\r\n2006-02-01,20:07:00,3737.00,3737.00,3737.00,3737.00,173,0\r\n2006-02-01,20:08:00,3736.00,3736.00,3736.00,3736.00,69,0\r\n2006-02-01,20:09:00,3736.00,3737.00,3736.00,3737.00,105,0\r\n2006-02-01,20:11:00,3736.00,3736.00,3736.00,3736.00,39,0\r\n2006-02-01,20:12:00,3736.00,3736.00,3736.00,3736.00,236,0\r\n2006-02-01,20:13:00,3736.00,3736.00,3736.00,3736.00,50,0\r\n2006-02-01,20:14:00,3737.00,3737.00,3737.00,3737.00,72,0\r\n2006-02-01,20:15:00,3737.00,3737.00,3736.00,3736.00,111,0\r\n2006-02-01,20:16:00,3737.00,3738.00,3737.00,3738.00,108,0\r\n2006-02-01,20:17:00,3738.00,3738.00,3737.00,3737.00,12,0\r\n2006-02-01,20:18:00,3737.00,3738.00,3737.00,3738.00,55,0\r\n2006-02-01,20:19:00,3739.00,3740.00,3739.00,3740.00,152,0\r\n2006-02-01,20:20:00,3740.00,3741.00,3739.00,3740.00,141,0\r\n2006-02-01,20:21:00,3740.00,3740.00,3738.00,3738.00,70,0\r\n2006-02-01,20:22:00,3739.00,3739.00,3739.00,3739.00,155,0\r\n2006-02-01,20:23:00,3739.00,3740.00,3738.00,3738.00,113,0\r\n2006-02-01,20:24:00,3737.00,3737.00,3737.00,3737.00,291,0\r\n2006-02-01,20:25:00,3737.00,3737.00,3737.00,3737.00,4,0\r\n2006-02-01,20:26:00,3737.00,3737.00,3736.00,3737.00,85,0\r\n2006-02-01,20:27:00,3736.00,3736.00,3736.00,3736.00,152,0\r\n2006-02-01,20:28:00,3737.00,3737.00,3737.00,3737.00,42,0\r\n2006-02-01,20:29:00,3736.00,3736.00,3736.00,3736.00,100,0\r\n2006-02-01,20:30:00,3736.00,3736.00,3736.00,3736.00,82,0\r\n2006-02-01,20:31:00,3736.00,3738.00,3736.00,3737.00,104,0\r\n2006-02-01,20:32:00,3738.00,3738.00,3736.00,3737.00,187,0\r\n2006-02-01,20:33:00,3737.00,3739.00,3737.00,3739.00,108,0\r\n2006-02-01,20:34:00,3738.00,3738.00,3736.00,3737.00,320,0\r\n2006-02-01,20:35:00,3738.00,3738.00,3737.00,3737.00,104,0\r\n2006-02-01,20:36:00,3738.00,3740.00,3738.00,3740.00,130,0\r\n2006-02-01,20:37:00,3739.00,3741.00,3739.00,3740.00,159,0\r\n2006-02-01,20:38:00,3739.00,3739.00,3738.00,3739.00,224,0\r\n2006-02-01,20:39:00,3740.00,3740.00,3739.00,3740.00,163,0\r\n2006-02-01,20:40:00,3740.00,3740.00,3740.00,3740.00,58,0\r\n2006-02-01,20:41:00,3740.00,3740.00,3739.00,3739.00,125,0\r\n2006-02-01,20:42:00,3738.00,3738.00,3737.00,3737.00,435,0\r\n2006-02-01,20:43:00,3737.00,3739.00,3737.00,3739.00,210,0\r\n2006-02-01,20:44:00,3738.00,3738.00,3738.00,3738.00,101,0\r\n2006-02-01,20:45:00,3737.00,3738.00,3737.00,3738.00,291,0\r\n2006-02-01,20:46:00,3738.00,3738.00,3737.00,3738.00,203,0\r\n2006-02-01,20:47:00,3738.00,3738.00,3738.00,3738.00,201,0\r\n2006-02-01,20:48:00,3738.00,3738.00,3738.00,3738.00,77,0\r\n2006-02-01,20:49:00,3738.00,3738.00,3737.00,3737.00,329,0\r\n2006-02-01,20:50:00,3737.00,3738.00,3737.00,3738.00,34,0\r\n2006-02-01,20:51:00,3738.00,3738.00,3738.00,3738.00,18,0\r\n2006-02-01,20:52:00,3738.00,3738.00,3738.00,3738.00,17,0\r\n2006-02-01,20:53:00,3739.00,3740.00,3739.00,3739.00,261,0\r\n2006-02-01,20:54:00,3738.00,3739.00,3738.00,3739.00,129,0\r\n2006-02-01,20:55:00,3739.00,3739.00,3739.00,3739.00,23,0\r\n2006-02-01,20:56:00,3739.00,3739.00,3738.00,3738.00,48,0\r\n2006-02-01,20:57:00,3738.00,3738.00,3738.00,3738.00,59,0\r\n2006-02-01,20:58:00,3738.00,3739.00,3737.00,3737.00,351,0\r\n2006-02-01,20:59:00,3738.00,3738.00,3738.00,3738.00,94,0\r\n2006-02-01,21:00:00,3737.00,3738.00,3737.00,3738.00,212,0\r\n2006-02-01,21:01:00,3739.00,3739.00,3738.00,3739.00,57,0\r\n2006-02-01,21:02:00,3738.00,3738.00,3738.00,3738.00,22,0\r\n2006-02-01,21:05:00,3738.00,3739.00,3737.00,3739.00,245,0\r\n2006-02-01,21:06:00,3739.00,3739.00,3739.00,3739.00,55,0\r\n2006-02-01,21:07:00,3739.00,3740.00,3739.00,3740.00,244,0\r\n2006-02-01,21:08:00,3740.00,3740.00,3740.00,3740.00,47,0\r\n2006-02-01,21:09:00,3740.00,3740.00,3740.00,3740.00,106,0\r\n2006-02-01,21:10:00,3741.00,3742.00,3741.00,3741.00,460,0\r\n2006-02-01,21:11:00,3742.00,3742.00,3742.00,3742.00,153,0\r\n2006-02-01,21:12:00,3742.00,3742.00,3741.00,3742.00,99,0\r\n2006-02-01,21:13:00,3742.00,3743.00,3742.00,3743.00,29,0\r\n2006-02-01,21:14:00,3742.00,3743.00,3742.00,3743.00,4,0\r\n2006-02-01,21:15:00,3744.00,3744.00,3743.00,3744.00,164,0\r\n2006-02-01,21:16:00,3744.00,3744.00,3744.00,3744.00,32,0\r\n2006-02-01,21:17:00,3744.00,3744.00,3744.00,3744.00,35,0\r\n2006-02-01,21:18:00,3743.00,3743.00,3743.00,3743.00,35,0\r\n2006-02-01,21:19:00,3742.00,3742.00,3742.00,3742.00,2,0\r\n2006-02-01,21:21:00,3743.00,3743.00,3742.00,3743.00,83,0\r\n2006-02-01,21:22:00,3743.00,3743.00,3743.00,3743.00,25,0\r\n2006-02-01,21:23:00,3743.00,3743.00,3743.00,3743.00,46,0\r\n2006-02-01,21:24:00,3743.00,3743.00,3743.00,3743.00,40,0\r\n2006-02-01,21:25:00,3743.00,3743.00,3743.00,3743.00,9,0\r\n2006-02-01,21:26:00,3743.00,3743.00,3742.00,3742.00,62,0\r\n2006-02-01,21:27:00,3742.00,3742.00,3741.00,3741.00,532,0\r\n2006-02-01,21:28:00,3742.00,3742.00,3742.00,3742.00,13,0\r\n2006-02-01,21:29:00,3742.00,3742.00,3742.00,3742.00,83,0\r\n2006-02-01,21:30:00,3742.00,3742.00,3742.00,3742.00,87,0\r\n2006-02-01,21:31:00,3742.00,3743.00,3741.00,3743.00,68,0\r\n2006-02-01,21:32:00,3743.00,3743.00,3743.00,3743.00,52,0\r\n2006-02-01,21:33:00,3744.00,3746.00,3744.00,3746.00,1150,0\r\n2006-02-01,21:34:00,3746.00,3747.00,3745.00,3745.00,157,0\r\n2006-02-01,21:35:00,3746.00,3746.00,3744.00,3745.00,55,0\r\n2006-02-01,21:36:00,3746.00,3746.00,3745.00,3746.00,14,0\r\n2006-02-01,21:37:00,3745.00,3746.00,3745.00,3746.00,5,0\r\n2006-02-01,21:38:00,3745.00,3745.00,3745.00,3745.00,1,0\r\n2006-02-01,21:39:00,3746.00,3746.00,3746.00,3746.00,8,0\r\n2006-02-01,21:40:00,3746.00,3746.00,3746.00,3746.00,5,0\r\n2006-02-01,21:41:00,3745.00,3745.00,3745.00,3745.00,1,0\r\n2006-02-01,21:42:00,3746.00,3746.00,3746.00,3746.00,62,0\r\n2006-02-01,21:44:00,3746.00,3746.00,3746.00,3746.00,103,0\r\n2006-02-01,21:45:00,3746.00,3746.00,3746.00,3746.00,187,0\r\n2006-02-01,21:46:00,3746.00,3746.00,3746.00,3746.00,5,0\r\n2006-02-01,21:47:00,3746.00,3746.00,3746.00,3746.00,152,0\r\n2006-02-01,21:48:00,3746.00,3746.00,3746.00,3746.00,67,0\r\n2006-02-01,21:51:00,3746.00,3746.00,3746.00,3746.00,3,0\r\n2006-02-01,21:53:00,3746.00,3746.00,3745.00,3745.00,31,0\r\n2006-02-01,21:54:00,3745.00,3746.00,3745.00,3745.00,185,0\r\n2006-02-01,21:55:00,3745.00,3745.00,3745.00,3745.00,1,0\r\n2006-02-01,21:56:00,3745.00,3745.00,3745.00,3745.00,296,0\r\n2006-02-01,21:57:00,3745.00,3745.00,3744.00,3745.00,9,0\r\n2006-02-01,21:58:00,3745.00,3746.00,3745.00,3746.00,149,0\r\n2006-02-01,21:59:00,3745.00,3746.00,3745.00,3746.00,444,0\r\n2006-02-01,22:00:00,3746.00,3747.00,3745.00,3747.00,295,0\r\n2006-02-02,09:01:00,3742.00,3747.00,3742.00,3746.00,12225,0\r\n2006-02-02,09:02:00,3746.00,3746.00,3744.00,3744.00,2576,0\r\n2006-02-02,09:03:00,3744.00,3748.00,3744.00,3747.00,2469,0\r\n2006-02-02,09:04:00,3747.00,3749.00,3744.00,3744.00,2610,0\r\n2006-02-02,09:05:00,3745.00,3746.00,3742.00,3742.00,3023,0\r\n2006-02-02,09:06:00,3742.00,3743.00,3740.00,3741.00,3212,0\r\n2006-02-02,09:07:00,3742.00,3744.00,3742.00,3744.00,1425,0\r\n2006-02-02,09:08:00,3744.00,3744.00,3742.00,3743.00,1137,0\r\n2006-02-02,09:09:00,3743.00,3745.00,3743.00,3744.00,819,0\r\n2006-02-02,09:10:00,3745.00,3748.00,3745.00,3747.00,3023,0\r\n2006-02-02,09:11:00,3747.00,3750.00,3747.00,3749.00,2968,0\r\n2006-02-02,09:12:00,3749.00,3752.00,3749.00,3751.00,6073,0\r\n2006-02-02,09:13:00,3751.00,3751.00,3749.00,3750.00,1121,0\r\n2006-02-02,09:14:00,3750.00,3756.00,3750.00,3754.00,7904,0\r\n2006-02-02,09:15:00,3754.00,3755.00,3753.00,3755.00,2514,0\r\n2006-02-02,09:16:00,3755.00,3756.00,3753.00,3753.00,3619,0\r\n2006-02-02,09:17:00,3753.00,3754.00,3752.00,3753.00,1179,0\r\n2006-02-02,09:18:00,3754.00,3754.00,3752.00,3752.00,789,0\r\n2006-02-02,09:19:00,3752.00,3752.00,3749.00,3750.00,4285,0\r\n2006-02-02,09:20:00,3750.00,3751.00,3749.00,3750.00,2994,0\r\n2006-02-02,09:21:00,3749.00,3750.00,3749.00,3750.00,380,0\r\n2006-02-02,09:22:00,3749.00,3751.00,3749.00,3751.00,1285,0\r\n2006-02-02,09:23:00,3751.00,3752.00,3750.00,3751.00,334,0\r\n2006-02-02,09:24:00,3751.00,3753.00,3751.00,3752.00,1581,0\r\n2006-02-02,09:25:00,3751.00,3752.00,3750.00,3750.00,499,0\r\n2006-02-02,09:26:00,3750.00,3751.00,3750.00,3750.00,335,0\r\n2006-02-02,09:27:00,3750.00,3751.00,3749.00,3750.00,784,0\r\n2006-02-02,09:28:00,3749.00,3750.00,3748.00,3748.00,1497,0\r\n2006-02-02,09:29:00,3748.00,3749.00,3748.00,3749.00,487,0\r\n2006-02-02,09:30:00,3749.00,3750.00,3747.00,3747.00,756,0\r\n2006-02-02,09:31:00,3747.00,3748.00,3747.00,3747.00,1928,0\r\n2006-02-02,09:32:00,3747.00,3748.00,3746.00,3747.00,1414,0\r\n2006-02-02,09:33:00,3747.00,3747.00,3746.00,3746.00,702,0\r\n2006-02-02,09:34:00,3747.00,3749.00,3747.00,3748.00,552,0\r\n2006-02-02,09:35:00,3748.00,3749.00,3748.00,3748.00,879,0\r\n2006-02-02,09:36:00,3748.00,3749.00,3748.00,3748.00,2324,0\r\n2006-02-02,09:37:00,3748.00,3749.00,3746.00,3746.00,1515,0\r\n2006-02-02,09:38:00,3745.00,3746.00,3745.00,3745.00,63,0\r\n2006-02-02,09:39:00,3746.00,3747.00,3745.00,3745.00,802,0\r\n2006-02-02,09:40:00,3745.00,3745.00,3744.00,3745.00,1148,0\r\n2006-02-02,09:41:00,3745.00,3747.00,3744.00,3746.00,2297,0\r\n2006-02-02,09:42:00,3747.00,3748.00,3746.00,3747.00,579,0\r\n2006-02-02,09:43:00,3746.00,3747.00,3746.00,3746.00,210,0\r\n2006-02-02,09:44:00,3746.00,3746.00,3745.00,3745.00,434,0\r\n2006-02-02,09:45:00,3745.00,3746.00,3745.00,3746.00,540,0\r\n2006-02-02,09:46:00,3745.00,3745.00,3744.00,3745.00,618,0\r\n2006-02-02,09:47:00,3744.00,3745.00,3742.00,3742.00,2577,0\r\n2006-02-02,09:48:00,3743.00,3743.00,3741.00,3742.00,2094,0\r\n2006-02-02,09:49:00,3742.00,3742.00,3741.00,3741.00,1560,0\r\n2006-02-02,09:50:00,3741.00,3741.00,3739.00,3741.00,3941,0\r\n2006-02-02,09:51:00,3741.00,3742.00,3740.00,3741.00,672,0\r\n2006-02-02,09:52:00,3741.00,3742.00,3741.00,3742.00,1988,0\r\n2006-02-02,09:53:00,3742.00,3742.00,3740.00,3741.00,549,0\r\n2006-02-02,09:54:00,3740.00,3741.00,3740.00,3740.00,235,0\r\n2006-02-02,09:55:00,3741.00,3741.00,3739.00,3739.00,1942,0\r\n2006-02-02,09:56:00,3739.00,3741.00,3739.00,3741.00,2346,0\r\n2006-02-02,09:57:00,3741.00,3743.00,3740.00,3742.00,1686,0\r\n2006-02-02,09:58:00,3743.00,3745.00,3742.00,3745.00,2955,0\r\n2006-02-02,09:59:00,3745.00,3745.00,3744.00,3744.00,1567,0\r\n2006-02-02,10:00:00,3744.00,3745.00,3743.00,3743.00,2179,0\r\n2006-02-02,10:01:00,3743.00,3744.00,3742.00,3742.00,484,0\r\n2006-02-02,10:02:00,3742.00,3743.00,3742.00,3743.00,557,0\r\n2006-02-02,10:03:00,3744.00,3745.00,3743.00,3744.00,1311,0\r\n2006-02-02,10:04:00,3744.00,3744.00,3741.00,3742.00,1131,0\r\n2006-02-02,10:05:00,3742.00,3742.00,3741.00,3741.00,476,0\r\n2006-02-02,10:06:00,3742.00,3742.00,3740.00,3740.00,642,0\r\n2006-02-02,10:07:00,3741.00,3741.00,3739.00,3740.00,1260,0\r\n2006-02-02,10:08:00,3740.00,3740.00,3738.00,3739.00,1602,0\r\n2006-02-02,10:09:00,3739.00,3740.00,3739.00,3740.00,828,0\r\n2006-02-02,10:10:00,3740.00,3740.00,3738.00,3740.00,867,0\r\n2006-02-02,10:11:00,3739.00,3740.00,3739.00,3740.00,63,0\r\n2006-02-02,10:12:00,3740.00,3740.00,3738.00,3738.00,796,0\r\n2006-02-02,10:13:00,3738.00,3739.00,3737.00,3739.00,1546,0\r\n2006-02-02,10:14:00,3739.00,3739.00,3736.00,3737.00,2124,0\r\n2006-02-02,10:15:00,3736.00,3737.00,3736.00,3737.00,1486,0\r\n2006-02-02,10:16:00,3736.00,3737.00,3735.00,3737.00,1229,0\r\n2006-02-02,10:17:00,3737.00,3737.00,3734.00,3736.00,2592,0\r\n2006-02-02,10:18:00,3735.00,3736.00,3733.00,3735.00,2828,0\r\n2006-02-02,10:19:00,3735.00,3736.00,3733.00,3734.00,1899,0\r\n2006-02-02,10:20:00,3734.00,3735.00,3733.00,3733.00,582,0\r\n2006-02-02,10:21:00,3733.00,3734.00,3732.00,3734.00,1776,0\r\n2006-02-02,10:22:00,3733.00,3734.00,3733.00,3733.00,906,0\r\n2006-02-02,10:23:00,3733.00,3734.00,3732.00,3734.00,659,0\r\n2006-02-02,10:24:00,3733.00,3734.00,3733.00,3734.00,521,0\r\n2006-02-02,10:25:00,3734.00,3735.00,3733.00,3734.00,2004,0\r\n2006-02-02,10:26:00,3734.00,3735.00,3734.00,3735.00,1756,0\r\n2006-02-02,10:27:00,3735.00,3735.00,3733.00,3733.00,1144,0\r\n2006-02-02,10:28:00,3733.00,3733.00,3733.00,3733.00,102,0\r\n2006-02-02,10:29:00,3733.00,3734.00,3733.00,3733.00,732,0\r\n2006-02-02,10:30:00,3733.00,3733.00,3731.00,3732.00,4262,0\r\n2006-02-02,10:31:00,3732.00,3733.00,3730.00,3731.00,2447,0\r\n2006-02-02,10:32:00,3732.00,3732.00,3731.00,3731.00,1321,0\r\n2006-02-02,10:33:00,3732.00,3733.00,3731.00,3733.00,1668,0\r\n2006-02-02,10:34:00,3732.00,3733.00,3731.00,3731.00,1172,0\r\n2006-02-02,10:35:00,3732.00,3732.00,3731.00,3731.00,730,0\r\n2006-02-02,10:36:00,3732.00,3732.00,3731.00,3732.00,412,0\r\n2006-02-02,10:37:00,3732.00,3732.00,3732.00,3732.00,1024,0\r\n2006-02-02,10:38:00,3733.00,3734.00,3733.00,3734.00,1379,0\r\n2006-02-02,10:39:00,3734.00,3734.00,3733.00,3734.00,240,0\r\n2006-02-02,10:40:00,3733.00,3734.00,3733.00,3733.00,241,0\r\n2006-02-02,10:41:00,3733.00,3735.00,3733.00,3734.00,769,0\r\n2006-02-02,10:42:00,3734.00,3736.00,3734.00,3736.00,3131,0\r\n2006-02-02,10:43:00,3736.00,3737.00,3735.00,3736.00,2345,0\r\n2006-02-02,10:44:00,3737.00,3738.00,3737.00,3738.00,598,0\r\n2006-02-02,10:45:00,3738.00,3738.00,3736.00,3737.00,1015,0\r\n2006-02-02,10:46:00,3737.00,3737.00,3736.00,3736.00,156,0\r\n2006-02-02,10:47:00,3736.00,3737.00,3736.00,3736.00,1199,0\r\n2006-02-02,10:48:00,3737.00,3737.00,3737.00,3737.00,595,0\r\n2006-02-02,10:49:00,3737.00,3738.00,3736.00,3737.00,926,0\r\n2006-02-02,10:50:00,3737.00,3737.00,3736.00,3736.00,259,0\r\n2006-02-02,10:51:00,3736.00,3736.00,3736.00,3736.00,397,0\r\n2006-02-02,10:52:00,3736.00,3736.00,3735.00,3735.00,445,0\r\n2006-02-02,10:53:00,3735.00,3736.00,3735.00,3736.00,666,0\r\n2006-02-02,10:54:00,3736.00,3736.00,3735.00,3735.00,80,0\r\n2006-02-02,10:55:00,3735.00,3735.00,3734.00,3735.00,2554,0\r\n2006-02-02,10:56:00,3735.00,3737.00,3735.00,3737.00,484,0\r\n2006-02-02,10:57:00,3736.00,3736.00,3735.00,3735.00,1405,0\r\n2006-02-02,10:58:00,3735.00,3736.00,3734.00,3735.00,1308,0\r\n2006-02-02,10:59:00,3735.00,3735.00,3735.00,3735.00,42,0\r\n2006-02-02,11:00:00,3735.00,3735.00,3734.00,3734.00,169,0\r\n2006-02-02,11:01:00,3734.00,3735.00,3732.00,3733.00,5602,0\r\n2006-02-02,11:02:00,3732.00,3733.00,3731.00,3731.00,3936,0\r\n2006-02-02,11:03:00,3731.00,3732.00,3729.00,3729.00,1689,0\r\n2006-02-02,11:04:00,3729.00,3731.00,3727.00,3727.00,4017,0\r\n2006-02-02,11:05:00,3728.00,3728.00,3727.00,3727.00,1554,0\r\n2006-02-02,11:06:00,3728.00,3728.00,3725.00,3726.00,1689,0\r\n2006-02-02,11:07:00,3726.00,3729.00,3725.00,3728.00,5145,0\r\n2006-02-02,11:08:00,3729.00,3729.00,3727.00,3728.00,1559,0\r\n2006-02-02,11:09:00,3727.00,3727.00,3726.00,3726.00,1169,0\r\n2006-02-02,11:10:00,3725.00,3729.00,3725.00,3728.00,2305,0\r\n2006-02-02,11:11:00,3729.00,3729.00,3728.00,3729.00,882,0\r\n2006-02-02,11:12:00,3730.00,3731.00,3728.00,3728.00,2452,0\r\n2006-02-02,11:13:00,3728.00,3728.00,3727.00,3728.00,1425,0\r\n2006-02-02,11:14:00,3727.00,3728.00,3727.00,3728.00,316,0\r\n2006-02-02,11:15:00,3728.00,3729.00,3726.00,3726.00,1180,0\r\n2006-02-02,11:16:00,3726.00,3726.00,3724.00,3725.00,2908,0\r\n2006-02-02,11:17:00,3725.00,3726.00,3724.00,3725.00,1864,0\r\n2006-02-02,11:18:00,3725.00,3726.00,3725.00,3726.00,460,0\r\n2006-02-02,11:19:00,3726.00,3726.00,3724.00,3725.00,944,0\r\n2006-02-02,11:20:00,3725.00,3727.00,3725.00,3726.00,687,0\r\n2006-02-02,11:21:00,3727.00,3728.00,3726.00,3726.00,850,0\r\n2006-02-02,11:22:00,3726.00,3727.00,3726.00,3726.00,469,0\r\n2006-02-02,11:23:00,3726.00,3726.00,3725.00,3725.00,640,0\r\n2006-02-02,11:24:00,3726.00,3726.00,3724.00,3725.00,1856,0\r\n2006-02-02,11:25:00,3726.00,3727.00,3726.00,3726.00,1182,0\r\n2006-02-02,11:26:00,3726.00,3727.00,3726.00,3727.00,383,0\r\n2006-02-02,11:27:00,3727.00,3728.00,3727.00,3728.00,2104,0\r\n2006-02-02,11:28:00,3728.00,3729.00,3727.00,3728.00,798,0\r\n2006-02-02,11:29:00,3728.00,3729.00,3727.00,3728.00,6998,0\r\n2006-02-02,11:30:00,3728.00,3728.00,3727.00,3728.00,59,0\r\n2006-02-02,11:31:00,3728.00,3729.00,3727.00,3729.00,1241,0\r\n2006-02-02,11:32:00,3730.00,3730.00,3729.00,3730.00,1334,0\r\n2006-02-02,11:33:00,3730.00,3731.00,3729.00,3730.00,686,0\r\n2006-02-02,11:34:00,3730.00,3731.00,3730.00,3730.00,625,0\r\n2006-02-02,11:35:00,3731.00,3731.00,3731.00,3731.00,1105,0\r\n2006-02-02,11:36:00,3730.00,3731.00,3730.00,3731.00,716,0\r\n2006-02-02,11:37:00,3731.00,3733.00,3731.00,3733.00,1535,0\r\n2006-02-02,11:38:00,3732.00,3733.00,3731.00,3732.00,406,0\r\n2006-02-02,11:39:00,3732.00,3732.00,3731.00,3731.00,459,0\r\n2006-02-02,11:40:00,3731.00,3732.00,3731.00,3732.00,488,0\r\n2006-02-02,11:41:00,3731.00,3732.00,3730.00,3731.00,1972,0\r\n2006-02-02,11:42:00,3731.00,3731.00,3730.00,3730.00,217,0\r\n2006-02-02,11:43:00,3730.00,3731.00,3729.00,3731.00,858,0\r\n2006-02-02,11:44:00,3731.00,3731.00,3730.00,3731.00,109,0\r\n2006-02-02,11:45:00,3731.00,3731.00,3730.00,3731.00,161,0\r\n2006-02-02,11:46:00,3730.00,3731.00,3730.00,3731.00,42,0\r\n2006-02-02,11:47:00,3731.00,3731.00,3730.00,3730.00,309,0\r\n2006-02-02,11:48:00,3730.00,3731.00,3730.00,3730.00,196,0\r\n2006-02-02,11:49:00,3730.00,3730.00,3729.00,3730.00,286,0\r\n2006-02-02,11:50:00,3731.00,3731.00,3731.00,3731.00,1096,0\r\n2006-02-02,11:51:00,3731.00,3732.00,3731.00,3732.00,19,0\r\n2006-02-02,11:52:00,3732.00,3732.00,3732.00,3732.00,1070,0\r\n2006-02-02,11:53:00,3733.00,3734.00,3732.00,3734.00,795,0\r\n2006-02-02,11:54:00,3734.00,3734.00,3733.00,3734.00,923,0\r\n2006-02-02,11:55:00,3733.00,3734.00,3733.00,3733.00,423,0\r\n2006-02-02,11:56:00,3733.00,3734.00,3733.00,3733.00,133,0\r\n2006-02-02,11:57:00,3733.00,3734.00,3732.00,3732.00,1377,0\r\n2006-02-02,11:58:00,3732.00,3732.00,3730.00,3731.00,984,0\r\n2006-02-02,11:59:00,3731.00,3731.00,3729.00,3730.00,450,0\r\n2006-02-02,12:00:00,3730.00,3731.00,3730.00,3731.00,438,0\r\n2006-02-02,12:01:00,3731.00,3732.00,3731.00,3732.00,716,0\r\n2006-02-02,12:02:00,3732.00,3732.00,3731.00,3731.00,275,0\r\n2006-02-02,12:03:00,3731.00,3731.00,3728.00,3728.00,1113,0\r\n2006-02-02,12:04:00,3728.00,3729.00,3728.00,3728.00,267,0\r\n2006-02-02,12:05:00,3729.00,3729.00,3729.00,3729.00,609,0\r\n2006-02-02,12:06:00,3729.00,3729.00,3729.00,3729.00,86,0\r\n2006-02-02,12:07:00,3729.00,3729.00,3729.00,3729.00,3,0\r\n2006-02-02,12:08:00,3729.00,3729.00,3728.00,3728.00,201,0\r\n2006-02-02,12:09:00,3729.00,3729.00,3729.00,3729.00,28,0\r\n2006-02-02,12:10:00,3729.00,3730.00,3728.00,3730.00,837,0\r\n2006-02-02,12:11:00,3730.00,3730.00,3729.00,3730.00,1021,0\r\n2006-02-02,12:12:00,3730.00,3732.00,3730.00,3732.00,1121,0\r\n2006-02-02,12:13:00,3732.00,3732.00,3731.00,3731.00,868,0\r\n2006-02-02,12:14:00,3731.00,3733.00,3731.00,3732.00,247,0\r\n2006-02-02,12:15:00,3733.00,3733.00,3733.00,3733.00,1,0\r\n2006-02-02,12:16:00,3732.00,3734.00,3732.00,3733.00,549,0\r\n2006-02-02,12:17:00,3734.00,3734.00,3732.00,3733.00,221,0\r\n2006-02-02,12:18:00,3733.00,3733.00,3733.00,3733.00,1153,0\r\n2006-02-02,12:19:00,3733.00,3733.00,3732.00,3732.00,274,0\r\n2006-02-02,12:20:00,3732.00,3732.00,3731.00,3731.00,297,0\r\n2006-02-02,12:21:00,3731.00,3732.00,3731.00,3732.00,3178,0\r\n2006-02-02,12:22:00,3731.00,3731.00,3730.00,3731.00,405,0\r\n2006-02-02,12:23:00,3731.00,3731.00,3731.00,3731.00,106,0\r\n2006-02-02,12:24:00,3731.00,3732.00,3731.00,3732.00,1189,0\r\n2006-02-02,12:25:00,3732.00,3732.00,3731.00,3731.00,1239,0\r\n2006-02-02,12:26:00,3730.00,3730.00,3729.00,3730.00,2331,0\r\n2006-02-02,12:27:00,3729.00,3731.00,3729.00,3729.00,1921,0\r\n2006-02-02,12:28:00,3729.00,3729.00,3729.00,3729.00,604,0\r\n2006-02-02,12:29:00,3729.00,3729.00,3728.00,3729.00,448,0\r\n2006-02-02,12:30:00,3729.00,3729.00,3729.00,3729.00,167,0\r\n2006-02-02,12:31:00,3729.00,3730.00,3729.00,3730.00,2439,0\r\n2006-02-02,12:32:00,3730.00,3730.00,3728.00,3729.00,1784,0\r\n2006-02-02,12:33:00,3729.00,3729.00,3727.00,3728.00,592,0\r\n2006-02-02,12:34:00,3728.00,3729.00,3728.00,3729.00,251,0\r\n2006-02-02,12:35:00,3728.00,3729.00,3728.00,3729.00,300,0\r\n2006-02-02,12:36:00,3729.00,3730.00,3729.00,3730.00,950,0\r\n2006-02-02,12:37:00,3730.00,3731.00,3728.00,3729.00,452,0\r\n2006-02-02,12:38:00,3729.00,3729.00,3728.00,3729.00,226,0\r\n2006-02-02,12:39:00,3730.00,3730.00,3730.00,3730.00,236,0\r\n2006-02-02,12:40:00,3730.00,3730.00,3730.00,3730.00,126,0\r\n2006-02-02,12:41:00,3729.00,3729.00,3728.00,3728.00,3201,0\r\n2006-02-02,12:42:00,3729.00,3730.00,3729.00,3730.00,97,0\r\n2006-02-02,12:43:00,3730.00,3730.00,3730.00,3730.00,362,0\r\n2006-02-02,12:44:00,3730.00,3730.00,3730.00,3730.00,368,0\r\n2006-02-02,12:45:00,3730.00,3730.00,3730.00,3730.00,367,0\r\n2006-02-02,12:46:00,3729.00,3729.00,3729.00,3729.00,846,0\r\n2006-02-02,12:47:00,3729.00,3730.00,3729.00,3729.00,13,0\r\n2006-02-02,12:48:00,3729.00,3729.00,3728.00,3729.00,200,0\r\n2006-02-02,12:49:00,3730.00,3731.00,3729.00,3730.00,646,0\r\n2006-02-02,12:50:00,3730.00,3730.00,3729.00,3730.00,647,0\r\n2006-02-02,12:51:00,3730.00,3730.00,3730.00,3730.00,522,0\r\n2006-02-02,12:52:00,3730.00,3731.00,3730.00,3730.00,320,0\r\n2006-02-02,12:53:00,3730.00,3730.00,3729.00,3730.00,860,0\r\n2006-02-02,12:54:00,3729.00,3730.00,3729.00,3730.00,428,0\r\n2006-02-02,12:55:00,3730.00,3730.00,3730.00,3730.00,76,0\r\n2006-02-02,12:56:00,3730.00,3731.00,3730.00,3730.00,156,0\r\n2006-02-02,12:57:00,3731.00,3731.00,3731.00,3731.00,2120,0\r\n2006-02-02,12:58:00,3730.00,3731.00,3730.00,3731.00,1310,0\r\n2006-02-02,12:59:00,3731.00,3731.00,3730.00,3731.00,133,0\r\n2006-02-02,13:00:00,3731.00,3731.00,3730.00,3730.00,9,0\r\n2006-02-02,13:01:00,3730.00,3731.00,3730.00,3730.00,50,0\r\n2006-02-02,13:02:00,3730.00,3731.00,3730.00,3730.00,121,0\r\n2006-02-02,13:03:00,3730.00,3731.00,3730.00,3730.00,630,0\r\n2006-02-02,13:04:00,3730.00,3731.00,3730.00,3731.00,24,0\r\n2006-02-02,13:05:00,3731.00,3731.00,3730.00,3730.00,13,0\r\n2006-02-02,13:06:00,3731.00,3731.00,3730.00,3730.00,936,0\r\n2006-02-02,13:07:00,3730.00,3731.00,3730.00,3730.00,125,0\r\n2006-02-02,13:08:00,3730.00,3730.00,3730.00,3730.00,3,0\r\n2006-02-02,13:09:00,3730.00,3730.00,3729.00,3729.00,232,0\r\n2006-02-02,13:10:00,3729.00,3729.00,3728.00,3729.00,667,0\r\n2006-02-02,13:11:00,3729.00,3729.00,3728.00,3729.00,83,0\r\n2006-02-02,13:12:00,3729.00,3729.00,3729.00,3729.00,256,0\r\n2006-02-02,13:13:00,3729.00,3729.00,3729.00,3729.00,237,0\r\n2006-02-02,13:14:00,3729.00,3729.00,3729.00,3729.00,187,0\r\n2006-02-02,13:15:00,3729.00,3729.00,3729.00,3729.00,127,0\r\n2006-02-02,13:16:00,3730.00,3730.00,3728.00,3728.00,35,0\r\n2006-02-02,13:17:00,3729.00,3729.00,3729.00,3729.00,29,0\r\n2006-02-02,13:18:00,3728.00,3728.00,3728.00,3728.00,81,0\r\n2006-02-02,13:19:00,3728.00,3729.00,3728.00,3729.00,290,0\r\n2006-02-02,13:20:00,3729.00,3730.00,3729.00,3729.00,653,0\r\n2006-02-02,13:21:00,3729.00,3729.00,3729.00,3729.00,30,0\r\n2006-02-02,13:22:00,3729.00,3730.00,3727.00,3727.00,670,0\r\n2006-02-02,13:23:00,3727.00,3728.00,3727.00,3728.00,161,0\r\n2006-02-02,13:24:00,3728.00,3728.00,3727.00,3727.00,94,0\r\n2006-02-02,13:25:00,3727.00,3727.00,3727.00,3727.00,3,0\r\n2006-02-02,13:26:00,3728.00,3728.00,3727.00,3727.00,105,0\r\n2006-02-02,13:27:00,3727.00,3727.00,3726.00,3726.00,1627,0\r\n2006-02-02,13:28:00,3726.00,3727.00,3725.00,3726.00,744,0\r\n2006-02-02,13:29:00,3725.00,3725.00,3725.00,3725.00,42,0\r\n2006-02-02,13:30:00,3725.00,3725.00,3725.00,3725.00,201,0\r\n2006-02-02,13:31:00,3725.00,3726.00,3725.00,3725.00,68,0\r\n2006-02-02,13:32:00,3725.00,3725.00,3723.00,3724.00,2454,0\r\n2006-02-02,13:33:00,3723.00,3725.00,3723.00,3724.00,1609,0\r\n2006-02-02,13:34:00,3724.00,3725.00,3724.00,3724.00,1019,0\r\n2006-02-02,13:35:00,3724.00,3725.00,3724.00,3725.00,2250,0\r\n2006-02-02,13:36:00,3724.00,3725.00,3724.00,3724.00,498,0\r\n2006-02-02,13:37:00,3725.00,3725.00,3724.00,3725.00,434,0\r\n2006-02-02,13:38:00,3725.00,3725.00,3724.00,3724.00,232,0\r\n2006-02-02,13:39:00,3723.00,3725.00,3723.00,3723.00,2939,0\r\n2006-02-02,13:40:00,3723.00,3724.00,3722.00,3723.00,732,0\r\n2006-02-02,13:41:00,3723.00,3723.00,3723.00,3723.00,168,0\r\n2006-02-02,13:42:00,3724.00,3724.00,3723.00,3723.00,1005,0\r\n2006-02-02,13:43:00,3723.00,3723.00,3722.00,3723.00,309,0\r\n2006-02-02,13:44:00,3722.00,3723.00,3722.00,3723.00,472,0\r\n2006-02-02,13:45:00,3723.00,3723.00,3723.00,3723.00,998,0\r\n2006-02-02,13:46:00,3723.00,3726.00,3722.00,3726.00,2558,0\r\n2006-02-02,13:47:00,3726.00,3727.00,3724.00,3726.00,1206,0\r\n2006-02-02,13:48:00,3725.00,3726.00,3725.00,3726.00,432,0\r\n2006-02-02,13:49:00,3726.00,3727.00,3725.00,3725.00,188,0\r\n2006-02-02,13:50:00,3725.00,3727.00,3725.00,3727.00,272,0\r\n2006-02-02,13:51:00,3727.00,3727.00,3726.00,3727.00,641,0\r\n2006-02-02,13:52:00,3727.00,3727.00,3726.00,3727.00,228,0\r\n2006-02-02,13:53:00,3728.00,3730.00,3728.00,3730.00,2322,0\r\n2006-02-02,13:54:00,3729.00,3731.00,3729.00,3729.00,1097,0\r\n2006-02-02,13:55:00,3730.00,3732.00,3730.00,3732.00,968,0\r\n2006-02-02,13:56:00,3731.00,3732.00,3730.00,3730.00,860,0\r\n2006-02-02,13:57:00,3729.00,3730.00,3729.00,3730.00,12,0\r\n2006-02-02,13:58:00,3730.00,3731.00,3730.00,3731.00,369,0\r\n2006-02-02,13:59:00,3730.00,3731.00,3730.00,3730.00,165,0\r\n2006-02-02,14:00:00,3730.00,3730.00,3729.00,3729.00,726,0\r\n2006-02-02,14:01:00,3729.00,3730.00,3728.00,3729.00,1121,0\r\n2006-02-02,14:02:00,3729.00,3730.00,3729.00,3729.00,309,0\r\n2006-02-02,14:03:00,3729.00,3729.00,3729.00,3729.00,105,0\r\n2006-02-02,14:04:00,3729.00,3729.00,3728.00,3729.00,147,0\r\n2006-02-02,14:05:00,3728.00,3729.00,3728.00,3728.00,22,0\r\n2006-02-02,14:06:00,3728.00,3729.00,3728.00,3729.00,398,0\r\n2006-02-02,14:07:00,3729.00,3730.00,3729.00,3730.00,911,0\r\n2006-02-02,14:08:00,3730.00,3731.00,3729.00,3730.00,264,0\r\n2006-02-02,14:09:00,3729.00,3730.00,3729.00,3730.00,244,0\r\n2006-02-02,14:10:00,3730.00,3731.00,3730.00,3730.00,463,0\r\n2006-02-02,14:11:00,3730.00,3731.00,3729.00,3731.00,385,0\r\n2006-02-02,14:12:00,3730.00,3731.00,3730.00,3731.00,707,0\r\n2006-02-02,14:13:00,3730.00,3731.00,3730.00,3731.00,65,0\r\n2006-02-02,14:14:00,3730.00,3731.00,3730.00,3731.00,11,0\r\n2006-02-02,14:15:00,3730.00,3731.00,3730.00,3730.00,71,0\r\n2006-02-02,14:16:00,3730.00,3731.00,3729.00,3730.00,261,0\r\n2006-02-02,14:17:00,3729.00,3730.00,3729.00,3729.00,173,0\r\n2006-02-02,14:18:00,3728.00,3728.00,3727.00,3728.00,290,0\r\n2006-02-02,14:19:00,3729.00,3729.00,3728.00,3728.00,386,0\r\n2006-02-02,14:20:00,3728.00,3728.00,3727.00,3727.00,516,0\r\n2006-02-02,14:21:00,3728.00,3728.00,3728.00,3728.00,80,0\r\n2006-02-02,14:22:00,3728.00,3728.00,3727.00,3728.00,92,0\r\n2006-02-02,14:23:00,3727.00,3727.00,3727.00,3727.00,3,0\r\n2006-02-02,14:24:00,3728.00,3728.00,3727.00,3728.00,439,0\r\n2006-02-02,14:25:00,3728.00,3728.00,3727.00,3728.00,15,0\r\n2006-02-02,14:26:00,3727.00,3728.00,3727.00,3728.00,3,0\r\n2006-02-02,14:27:00,3728.00,3729.00,3727.00,3729.00,428,0\r\n2006-02-02,14:28:00,3728.00,3728.00,3728.00,3728.00,243,0\r\n2006-02-02,14:29:00,3728.00,3728.00,3728.00,3728.00,9,0\r\n2006-02-02,14:30:00,3728.00,3730.00,3728.00,3730.00,731,0\r\n2006-02-02,14:31:00,3730.00,3731.00,3728.00,3729.00,2253,0\r\n2006-02-02,14:32:00,3729.00,3730.00,3729.00,3729.00,1474,0\r\n2006-02-02,14:33:00,3728.00,3728.00,3726.00,3728.00,3087,0\r\n2006-02-02,14:34:00,3728.00,3728.00,3727.00,3728.00,676,0\r\n2006-02-02,14:35:00,3728.00,3728.00,3727.00,3728.00,309,0\r\n2006-02-02,14:36:00,3727.00,3728.00,3727.00,3728.00,62,0\r\n2006-02-02,14:37:00,3727.00,3728.00,3727.00,3728.00,1441,0\r\n2006-02-02,14:38:00,3728.00,3728.00,3727.00,3728.00,31,0\r\n2006-02-02,14:39:00,3728.00,3730.00,3727.00,3730.00,990,0\r\n2006-02-02,14:40:00,3729.00,3730.00,3727.00,3728.00,943,0\r\n2006-02-02,14:41:00,3727.00,3728.00,3727.00,3728.00,12,0\r\n2006-02-02,14:42:00,3728.00,3728.00,3727.00,3728.00,202,0\r\n2006-02-02,14:43:00,3729.00,3729.00,3728.00,3728.00,382,0\r\n2006-02-02,14:44:00,3728.00,3728.00,3728.00,3728.00,316,0\r\n2006-02-02,14:45:00,3728.00,3728.00,3727.00,3728.00,463,0\r\n2006-02-02,14:46:00,3729.00,3729.00,3728.00,3728.00,275,0\r\n2006-02-02,14:47:00,3729.00,3729.00,3728.00,3729.00,89,0\r\n2006-02-02,14:48:00,3729.00,3729.00,3728.00,3729.00,327,0\r\n2006-02-02,14:49:00,3729.00,3730.00,3729.00,3729.00,54,0\r\n2006-02-02,14:50:00,3729.00,3729.00,3728.00,3728.00,147,0\r\n2006-02-02,14:51:00,3729.00,3729.00,3728.00,3729.00,45,0\r\n2006-02-02,14:52:00,3728.00,3729.00,3728.00,3729.00,437,0\r\n2006-02-02,14:53:00,3729.00,3730.00,3728.00,3730.00,298,0\r\n2006-02-02,14:54:00,3730.00,3730.00,3730.00,3730.00,325,0\r\n2006-02-02,14:55:00,3730.00,3731.00,3730.00,3731.00,157,0\r\n2006-02-02,14:56:00,3731.00,3731.00,3730.00,3730.00,229,0\r\n2006-02-02,14:57:00,3730.00,3730.00,3730.00,3730.00,205,0\r\n2006-02-02,14:58:00,3730.00,3731.00,3730.00,3731.00,42,0\r\n2006-02-02,14:59:00,3731.00,3733.00,3731.00,3733.00,1916,0\r\n2006-02-02,15:00:00,3733.00,3733.00,3731.00,3732.00,5439,0\r\n2006-02-02,15:01:00,3731.00,3733.00,3730.00,3733.00,1007,0\r\n2006-02-02,15:02:00,3732.00,3733.00,3732.00,3733.00,407,0\r\n2006-02-02,15:03:00,3733.00,3733.00,3732.00,3732.00,239,0\r\n2006-02-02,15:04:00,3732.00,3734.00,3732.00,3734.00,345,0\r\n2006-02-02,15:05:00,3733.00,3734.00,3733.00,3734.00,213,0\r\n2006-02-02,15:06:00,3733.00,3735.00,3733.00,3734.00,979,0\r\n2006-02-02,15:07:00,3734.00,3734.00,3732.00,3732.00,346,0\r\n2006-02-02,15:08:00,3732.00,3733.00,3732.00,3733.00,291,0\r\n2006-02-02,15:09:00,3733.00,3734.00,3733.00,3734.00,285,0\r\n2006-02-02,15:10:00,3734.00,3734.00,3732.00,3732.00,5745,0\r\n2006-02-02,15:11:00,3733.00,3733.00,3731.00,3731.00,260,0\r\n2006-02-02,15:12:00,3731.00,3732.00,3730.00,3730.00,754,0\r\n2006-02-02,15:13:00,3731.00,3731.00,3730.00,3730.00,322,0\r\n2006-02-02,15:14:00,3730.00,3730.00,3730.00,3730.00,450,0\r\n2006-02-02,15:15:00,3730.00,3731.00,3730.00,3731.00,53,0\r\n2006-02-02,15:16:00,3731.00,3731.00,3730.00,3730.00,337,0\r\n2006-02-02,15:17:00,3731.00,3731.00,3730.00,3731.00,92,0\r\n2006-02-02,15:18:00,3731.00,3731.00,3731.00,3731.00,17,0\r\n2006-02-02,15:19:00,3730.00,3731.00,3730.00,3731.00,506,0\r\n2006-02-02,15:20:00,3731.00,3732.00,3730.00,3731.00,154,0\r\n2006-02-02,15:21:00,3731.00,3732.00,3731.00,3731.00,196,0\r\n2006-02-02,15:22:00,3731.00,3731.00,3731.00,3731.00,261,0\r\n2006-02-02,15:23:00,3730.00,3732.00,3730.00,3731.00,303,0\r\n2006-02-02,15:25:00,3732.00,3732.00,3731.00,3732.00,190,0\r\n2006-02-02,15:26:00,3732.00,3732.00,3731.00,3732.00,425,0\r\n2006-02-02,15:27:00,3731.00,3732.00,3731.00,3732.00,174,0\r\n2006-02-02,15:28:00,3732.00,3732.00,3730.00,3731.00,609,0\r\n2006-02-02,15:29:00,3731.00,3731.00,3731.00,3731.00,285,0\r\n2006-02-02,15:30:00,3732.00,3733.00,3731.00,3733.00,348,0\r\n2006-02-02,15:31:00,3732.00,3733.00,3732.00,3733.00,675,0\r\n2006-02-02,15:32:00,3733.00,3733.00,3732.00,3733.00,46,0\r\n2006-02-02,15:33:00,3732.00,3732.00,3731.00,3732.00,289,0\r\n2006-02-02,15:34:00,3731.00,3733.00,3731.00,3733.00,1143,0\r\n2006-02-02,15:35:00,3733.00,3734.00,3732.00,3732.00,1695,0\r\n2006-02-02,15:36:00,3731.00,3732.00,3731.00,3732.00,1318,0\r\n2006-02-02,15:37:00,3732.00,3732.00,3730.00,3731.00,294,0\r\n2006-02-02,15:38:00,3731.00,3731.00,3727.00,3728.00,1704,0\r\n2006-02-02,15:39:00,3728.00,3729.00,3727.00,3729.00,3513,0\r\n2006-02-02,15:40:00,3729.00,3729.00,3724.00,3724.00,3039,0\r\n2006-02-02,15:41:00,3723.00,3727.00,3723.00,3726.00,1944,0\r\n2006-02-02,15:42:00,3727.00,3727.00,3724.00,3725.00,1590,0\r\n2006-02-02,15:43:00,3726.00,3727.00,3723.00,3726.00,1738,0\r\n2006-02-02,15:44:00,3725.00,3726.00,3724.00,3725.00,812,0\r\n2006-02-02,15:45:00,3725.00,3727.00,3724.00,3727.00,1167,0\r\n2006-02-02,15:46:00,3726.00,3728.00,3725.00,3725.00,3556,0\r\n2006-02-02,15:47:00,3726.00,3728.00,3724.00,3727.00,2380,0\r\n2006-02-02,15:48:00,3727.00,3730.00,3727.00,3729.00,2796,0\r\n2006-02-02,15:49:00,3730.00,3730.00,3728.00,3730.00,1970,0\r\n2006-02-02,15:50:00,3730.00,3731.00,3728.00,3729.00,1879,0\r\n2006-02-02,15:51:00,3730.00,3730.00,3728.00,3729.00,347,0\r\n2006-02-02,15:52:00,3729.00,3730.00,3728.00,3730.00,475,0\r\n2006-02-02,15:53:00,3730.00,3731.00,3728.00,3729.00,1671,0\r\n2006-02-02,15:54:00,3728.00,3729.00,3728.00,3729.00,3362,0\r\n2006-02-02,15:55:00,3728.00,3732.00,3728.00,3731.00,2352,0\r\n2006-02-02,15:56:00,3731.00,3731.00,3730.00,3731.00,421,0\r\n2006-02-02,15:57:00,3731.00,3732.00,3729.00,3731.00,985,0\r\n2006-02-02,15:58:00,3731.00,3731.00,3729.00,3730.00,1154,0\r\n2006-02-02,15:59:00,3730.00,3731.00,3730.00,3730.00,1249,0\r\n2006-02-02,16:00:00,3730.00,3731.00,3728.00,3728.00,1548,0\r\n2006-02-02,16:01:00,3728.00,3729.00,3727.00,3727.00,1388,0\r\n2006-02-02,16:02:00,3728.00,3728.00,3725.00,3726.00,1186,0\r\n2006-02-02,16:03:00,3727.00,3727.00,3724.00,3724.00,919,0\r\n2006-02-02,16:04:00,3725.00,3728.00,3725.00,3727.00,1598,0\r\n2006-02-02,16:05:00,3727.00,3728.00,3726.00,3728.00,1259,0\r\n2006-02-02,16:06:00,3729.00,3729.00,3726.00,3727.00,1310,0\r\n2006-02-02,16:07:00,3727.00,3728.00,3725.00,3728.00,1714,0\r\n2006-02-02,16:08:00,3729.00,3732.00,3729.00,3732.00,1348,0\r\n2006-02-02,16:09:00,3732.00,3732.00,3730.00,3731.00,825,0\r\n2006-02-02,16:10:00,3730.00,3731.00,3730.00,3731.00,2377,0\r\n2006-02-02,16:11:00,3731.00,3732.00,3730.00,3732.00,796,0\r\n2006-02-02,16:12:00,3731.00,3733.00,3731.00,3732.00,1779,0\r\n2006-02-02,16:13:00,3732.00,3736.00,3731.00,3735.00,3571,0\r\n2006-02-02,16:14:00,3735.00,3737.00,3733.00,3734.00,2587,0\r\n2006-02-02,16:15:00,3734.00,3734.00,3731.00,3732.00,1744,0\r\n2006-02-02,16:16:00,3731.00,3731.00,3729.00,3731.00,2988,0\r\n2006-02-02,16:17:00,3732.00,3733.00,3732.00,3733.00,1273,0\r\n2006-02-02,16:18:00,3733.00,3734.00,3732.00,3733.00,914,0\r\n2006-02-02,16:19:00,3732.00,3732.00,3730.00,3731.00,1576,0\r\n2006-02-02,16:20:00,3731.00,3733.00,3731.00,3732.00,1456,0\r\n2006-02-02,16:21:00,3732.00,3733.00,3731.00,3732.00,1468,0\r\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0,3691.00,1035,0\r\n2006-02-02,17:43:00,3691.00,3691.00,3689.00,3689.00,1986,0\r\n2006-02-02,17:44:00,3690.00,3690.00,3689.00,3689.00,1990,0\r\n2006-02-02,17:45:00,3688.00,3688.00,3686.00,3687.00,1793,0\r\n2006-02-02,17:46:00,3687.00,3689.00,3687.00,3689.00,1273,0\r\n2006-02-02,17:47:00,3689.00,3690.00,3689.00,3690.00,1063,0\r\n2006-02-02,17:48:00,3690.00,3692.00,3690.00,3690.00,1478,0\r\n2006-02-02,17:49:00,3691.00,3691.00,3690.00,3690.00,570,0\r\n2006-02-02,17:50:00,3690.00,3691.00,3690.00,3691.00,1357,0\r\n2006-02-02,17:51:00,3691.00,3692.00,3691.00,3691.00,959,0\r\n2006-02-02,17:52:00,3690.00,3691.00,3689.00,3689.00,995,0\r\n2006-02-02,17:53:00,3690.00,3690.00,3689.00,3689.00,1018,0\r\n2006-02-02,17:54:00,3689.00,3690.00,3687.00,3687.00,690,0\r\n2006-02-02,17:55:00,3687.00,3688.00,3686.00,3687.00,1167,0\r\n2006-02-02,17:56:00,3688.00,3689.00,3688.00,3688.00,624,0\r\n2006-02-02,17:57:00,3688.00,3688.00,3686.00,3686.00,1194,0\r\n2006-02-02,17:58:00,3686.00,3687.00,3685.00,3687.00,1173,0\r\n2006-02-02,17:59:00,3686.00,3686.00,3686.00,3686.00,642,0\r\n2006-02-02,18:00:00,3686.00,3687.00,3685.00,3686.00,1026,0\r\n2006-02-02,18:01:00,3686.00,3686.00,3685.00,3685.00,222,0\r\n2006-02-02,18:02:00,3685.00,3688.00,3685.00,3688.00,1066,0\r\n2006-02-02,18:03:00,3688.00,3688.00,3686.00,3686.00,1386,0\r\n2006-02-02,18:04:00,3686.00,3691.00,3686.00,3690.00,2231,0\r\n2006-02-02,18:05:00,3690.00,3691.00,3689.00,3689.00,965,0\r\n2006-02-02,18:06:00,3690.00,3691.00,3689.00,3690.00,1849,0\r\n2006-02-02,18:07:00,3690.00,3692.00,3690.00,3691.00,1984,0\r\n2006-02-02,18:08:00,3691.00,3694.00,3691.00,3693.00,2614,0\r\n2006-02-02,18:09:00,3694.00,3694.00,3691.00,3691.00,925,0\r\n2006-02-02,18:10:00,3690.00,3690.00,3689.00,3690.00,1190,0\r\n2006-02-02,18:11:00,3689.00,3689.00,3687.00,3689.00,1410,0\r\n2006-02-02,18:12:00,3688.00,3688.00,3686.00,3686.00,1860,0\r\n2006-02-02,18:13:00,3687.00,3688.00,3686.00,3687.00,1550,0\r\n2006-02-02,18:14:00,3687.00,3687.00,3686.00,3686.00,414,0\r\n2006-02-02,18:15:00,3686.00,3688.00,3686.00,3688.00,667,0\r\n2006-02-02,18:16:00,3688.00,3689.00,3688.00,3688.00,689,0\r\n2006-02-02,18:17:00,3688.00,3688.00,3686.00,3688.00,573,0\r\n2006-02-02,18:18:00,3688.00,3688.00,3687.00,3688.00,44,0\r\n2006-02-02,18:19:00,3688.00,3688.00,3687.00,3688.00,306,0\r\n2006-02-02,18:20:00,3688.00,3688.00,3686.00,3688.00,232,0\r\n2006-02-02,18:21:00,3687.00,3688.00,3687.00,3687.00,269,0\r\n2006-02-02,18:22:00,3687.00,3688.00,3687.00,3687.00,3421,0\r\n2006-02-02,18:23:00,3687.00,3687.00,3687.00,3687.00,523,0\r\n2006-02-02,18:24:00,3687.00,3687.00,3686.00,3686.00,701,0\r\n2006-02-02,18:25:00,3686.00,3687.00,3685.00,3686.00,367,0\r\n2006-02-02,18:26:00,3686.00,3686.00,3684.00,3685.00,2205,0\r\n2006-02-02,18:27:00,3685.00,3685.00,3682.00,3682.00,2951,0\r\n2006-02-02,18:28:00,3682.00,3683.00,3682.00,3683.00,1304,0\r\n2006-02-02,18:29:00,3682.00,3684.00,3682.00,3683.00,769,0\r\n2006-02-02,18:30:00,3683.00,3684.00,3683.00,3684.00,280,0\r\n2006-02-02,18:31:00,3685.00,3685.00,3682.00,3682.00,404,0\r\n2006-02-02,18:32:00,3682.00,3683.00,3682.00,3683.00,92,0\r\n2006-02-02,18:33:00,3683.00,3684.00,3682.00,3682.00,1474,0\r\n2006-02-02,18:34:00,3681.00,3682.00,3681.00,3681.00,1002,0\r\n2006-02-02,18:35:00,3681.00,3683.00,3681.00,3683.00,1426,0\r\n2006-02-02,18:36:00,3683.00,3685.00,3683.00,3684.00,735,0\r\n2006-02-02,18:37:00,3685.00,3685.00,3684.00,3684.00,339,0\r\n2006-02-02,18:38:00,3684.00,3684.00,3682.00,3683.00,336,0\r\n2006-02-02,18:39:00,3683.00,3684.00,3683.00,3684.00,437,0\r\n2006-02-02,18:40:00,3684.00,3684.00,3683.00,3683.00,156,0\r\n2006-02-02,18:41:00,3683.00,3683.00,3683.00,3683.00,48,0\r\n2006-02-02,18:42:00,3683.00,3685.00,3683.00,3685.00,341,0\r\n2006-02-02,18:43:00,3684.00,3684.00,3683.00,3683.00,324,0\r\n2006-02-02,18:44:00,3683.00,3684.00,3683.00,3684.00,278,0\r\n2006-02-02,18:45:00,3685.00,3686.00,3684.00,3686.00,323,0\r\n2006-02-02,18:46:00,3685.00,3686.00,3685.00,3686.00,287,0\r\n2006-02-02,18:47:00,3686.00,3687.00,3686.00,3686.00,125,0\r\n2006-02-02,18:48:00,3686.00,3686.00,3685.00,3685.00,548,0\r\n2006-02-02,18:49:00,3685.00,3686.00,3685.00,3686.00,381,0\r\n2006-02-02,18:50:00,3686.00,3686.00,3686.00,3686.00,81,0\r\n2006-02-02,18:51:00,3686.00,3687.00,3686.00,3687.00,257,0\r\n2006-02-02,18:52:00,3687.00,3688.00,3687.00,3688.00,84,0\r\n2006-02-02,18:53:00,3688.00,3688.00,3687.00,3687.00,303,0\r\n2006-02-02,18:54:00,3687.00,3687.00,3686.00,3687.00,486,0\r\n2006-02-02,18:55:00,3687.00,3687.00,3687.00,3687.00,73,0\r\n2006-02-02,18:56:00,3688.00,3688.00,3687.00,3688.00,351,0\r\n2006-02-02,18:57:00,3688.00,3688.00,3687.00,3687.00,102,0\r\n2006-02-02,18:58:00,3687.00,3687.00,3686.00,3686.00,139,0\r\n2006-02-02,18:59:00,3686.00,3687.00,3685.00,3685.00,385,0\r\n2006-02-02,19:00:00,3685.00,3685.00,3685.00,3685.00,406,0\r\n2006-02-02,19:01:00,3684.00,3685.00,3683.00,3683.00,302,0\r\n2006-02-02,19:02:00,3683.00,3684.00,3683.00,3683.00,208,0\r\n2006-02-02,19:03:00,3684.00,3685.00,3684.00,3685.00,185,0\r\n2006-02-02,19:04:00,3685.00,3685.00,3684.00,3685.00,54,0\r\n2006-02-02,19:05:00,3686.00,3686.00,3684.00,3684.00,132,0\r\n2006-02-02,19:06:00,3684.00,3684.00,3683.00,3683.00,105,0\r\n2006-02-02,19:07:00,3683.00,3684.00,3683.00,3684.00,126,0\r\n2006-02-02,19:08:00,3683.00,3683.00,3682.00,3682.00,670,0\r\n2006-02-02,19:09:00,3682.00,3683.00,3681.00,3683.00,125,0\r\n2006-02-02,19:10:00,3683.00,3683.00,3683.00,3683.00,91,0\r\n2006-02-02,19:11:00,3684.00,3684.00,3684.00,3684.00,73,0\r\n2006-02-02,19:12:00,3685.00,3685.00,3684.00,3684.00,319,0\r\n2006-02-02,19:13:00,3684.00,3685.00,3683.00,3684.00,327,0\r\n2006-02-02,19:14:00,3684.00,3684.00,3683.00,3683.00,248,0\r\n2006-02-02,19:15:00,3683.00,3685.00,3683.00,3685.00,160,0\r\n2006-02-02,19:16:00,3685.00,3685.00,3685.00,3685.00,51,0\r\n2006-02-02,19:17:00,3684.00,3684.00,3684.00,3684.00,77,0\r\n2006-02-02,19:18:00,3684.00,3684.00,3684.00,3684.00,170,0\r\n2006-02-02,19:19:00,3684.00,3684.00,3684.00,3684.00,172,0\r\n2006-02-02,19:20:00,3684.00,3684.00,3682.00,3682.00,177,0\r\n2006-02-02,19:21:00,3682.00,3684.00,3682.00,3684.00,726,0\r\n2006-02-02,19:22:00,3684.00,3684.00,3683.00,3684.00,77,0\r\n2006-02-02,19:23:00,3684.00,3684.00,3683.00,3683.00,358,0\r\n2006-02-02,19:24:00,3683.00,3684.00,3683.00,3684.00,799,0\r\n2006-02-02,19:25:00,3684.00,3686.00,3684.00,3685.00,307,0\r\n2006-02-02,19:26:00,3685.00,3685.00,3684.00,3684.00,199,0\r\n2006-02-02,19:27:00,3685.00,3685.00,3684.00,3684.00,371,0\r\n2006-02-02,19:28:00,3684.00,3684.00,3683.00,3683.00,430,0\r\n2006-02-02,19:29:00,3683.00,3683.00,3682.00,3683.00,880,0\r\n2006-02-02,19:30:00,3682.00,3683.00,3682.00,3683.00,402,0\r\n2006-02-02,19:31:00,3683.00,3684.00,3683.00,3683.00,239,0\r\n2006-02-02,19:32:00,3683.00,3683.00,3682.00,3682.00,293,0\r\n2006-02-02,19:33:00,3682.00,3682.00,3679.00,3680.00,1941,0\r\n2006-02-02,19:34:00,3679.00,3679.00,3678.00,3679.00,1542,0\r\n2006-02-02,19:35:00,3679.00,3679.00,3678.00,3679.00,597,0\r\n2006-02-02,19:36:00,3679.00,3679.00,3677.00,3678.00,2269,0\r\n2006-02-02,19:37:00,3679.00,3680.00,3679.00,3679.00,454,0\r\n2006-02-02,19:38:00,3678.00,3678.00,3677.00,3677.00,432,0\r\n2006-02-02,19:39:00,3676.00,3678.00,3676.00,3678.00,716,0\r\n2006-02-02,19:40:00,3678.00,3679.00,3678.00,3679.00,379,0\r\n2006-02-02,19:41:00,3678.00,3678.00,3677.00,3677.00,181,0\r\n2006-02-02,19:42:00,3676.00,3677.00,3675.00,3676.00,643,0\r\n2006-02-02,19:43:00,3677.00,3678.00,3677.00,3678.00,423,0\r\n2006-02-02,19:44:00,3677.00,3678.00,3677.00,3678.00,298,0\r\n2006-02-02,19:45:00,3678.00,3679.00,3675.00,3677.00,195,0\r\n2006-02-02,19:46:00,3677.00,3677.00,3676.00,3677.00,96,0\r\n2006-02-02,19:47:00,3677.00,3677.00,3677.00,3677.00,153,0\r\n2006-02-02,19:48:00,3678.00,3679.00,3678.00,3679.00,234,0\r\n2006-02-02,19:49:00,3679.00,3680.00,3679.00,3679.00,79,0\r\n2006-02-02,19:50:00,3679.00,3679.00,3677.00,3678.00,259,0\r\n2006-02-02,19:51:00,3678.00,3679.00,3678.00,3678.00,273,0\r\n2006-02-02,19:52:00,3679.00,3679.00,3678.00,3678.00,408,0\r\n2006-02-02,19:53:00,3679.00,3679.00,3676.00,3678.00,1044,0\r\n2006-02-02,19:54:00,3679.00,3679.00,3678.00,3679.00,79,0\r\n2006-02-02,19:55:00,3679.00,3679.00,3679.00,3679.00,35,0\r\n2006-02-02,19:56:00,3679.00,3679.00,3678.00,3678.00,421,0\r\n2006-02-02,19:57:00,3677.00,3678.00,3677.00,3678.00,84,0\r\n2006-02-02,19:58:00,3679.00,3680.00,3679.00,3680.00,436,0\r\n2006-02-02,19:59:00,3680.00,3680.00,3678.00,3680.00,165,0\r\n2006-02-02,20:00:00,3680.00,3681.00,3679.00,3681.00,161,0\r\n2006-02-02,20:01:00,3680.00,3680.00,3679.00,3679.00,101,0\r\n2006-02-02,20:02:00,3678.00,3680.00,3678.00,3680.00,4,0\r\n2006-02-02,20:03:00,3680.00,3681.00,3679.00,3680.00,343,0\r\n2006-02-02,20:04:00,3680.00,3680.00,3680.00,3680.00,122,0\r\n2006-02-02,20:05:00,3680.00,3681.00,3679.00,3680.00,49,0\r\n2006-02-02,20:06:00,3679.00,3679.00,3678.00,3678.00,101,0\r\n2006-02-02,20:07:00,3678.00,3679.00,3678.00,3679.00,88,0\r\n2006-02-02,20:08:00,3679.00,3679.00,3678.00,3678.00,75,0\r\n2006-02-02,20:09:00,3678.00,3678.00,3677.00,3678.00,317,0\r\n2006-02-02,20:10:00,3678.00,3679.00,3678.00,3679.00,77,0\r\n2006-02-02,20:11:00,3679.00,3680.00,3679.00,3679.00,57,0\r\n2006-02-02,20:12:00,3680.00,3682.00,3680.00,3680.00,289,0\r\n2006-02-02,20:14:00,3681.00,3681.00,3678.00,3678.00,224,0\r\n2006-02-02,20:15:00,3678.00,3678.00,3677.00,3677.00,86,0\r\n2006-02-02,20:16:00,3677.00,3678.00,3677.00,3678.00,64,0\r\n2006-02-02,20:17:00,3676.00,3677.00,3676.00,3677.00,172,0\r\n2006-02-02,20:18:00,3678.00,3678.00,3677.00,3677.00,93,0\r\n2006-02-02,20:19:00,3677.00,3677.00,3674.00,3674.00,629,0\r\n2006-02-02,20:20:00,3675.00,3676.00,3675.00,3675.00,175,0\r\n2006-02-02,20:21:00,3676.00,3677.00,3675.00,3676.00,181,0\r\n2006-02-02,20:22:00,3675.00,3676.00,3675.00,3676.00,87,0\r\n2006-02-02,20:23:00,3675.00,3676.00,3674.00,3676.00,197,0\r\n2006-02-02,20:24:00,3676.00,3677.00,3676.00,3677.00,136,0\r\n2006-02-02,20:25:00,3677.00,3677.00,3677.00,3677.00,17,0\r\n2006-02-02,20:26:00,3677.00,3678.00,3677.00,3677.00,241,0\r\n2006-02-02,20:27:00,3677.00,3677.00,3676.00,3676.00,76,0\r\n2006-02-02,20:28:00,3677.00,3677.00,3676.00,3676.00,46,0\r\n2006-02-02,20:29:00,3677.00,3677.00,3677.00,3677.00,130,0\r\n2006-02-02,20:30:00,3676.00,3676.00,3674.00,3674.00,183,0\r\n2006-02-02,20:31:00,3675.00,3676.00,3675.00,3676.00,110,0\r\n2006-02-02,20:32:00,3676.00,3676.00,3676.00,3676.00,28,0\r\n2006-02-02,20:33:00,3677.00,3680.00,3677.00,3680.00,474,0\r\n2006-02-02,20:34:00,3679.00,3682.00,3679.00,3682.00,340,0\r\n2006-02-02,20:35:00,3682.00,3683.00,3681.00,3681.00,255,0\r\n2006-02-02,20:36:00,3681.00,3681.00,3681.00,3681.00,88,0\r\n2006-02-02,20:37:00,3680.00,3681.00,3680.00,3681.00,54,0\r\n2006-02-02,20:38:00,3681.00,3681.00,3681.00,3681.00,20,0\r\n2006-02-02,20:39:00,3681.00,3681.00,3680.00,3680.00,33,0\r\n2006-02-02,20:40:00,3680.00,3680.00,3679.00,3679.00,103,0\r\n2006-02-02,20:41:00,3679.00,3679.00,3679.00,3679.00,67,0\r\n2006-02-02,20:42:00,3679.00,3679.00,3679.00,3679.00,67,0\r\n2006-02-02,20:43:00,3679.00,3680.00,3679.00,3680.00,2,0\r\n2006-02-02,20:44:00,3680.00,3681.00,3680.00,3681.00,75,0\r\n2006-02-02,20:45:00,3680.00,3680.00,3680.00,3680.00,21,0\r\n2006-02-02,20:46:00,3680.00,3680.00,3679.00,3679.00,11,0\r\n2006-02-02,20:47:00,3679.00,3679.00,3678.00,3678.00,253,0\r\n2006-02-02,20:48:00,3677.00,3677.00,3675.00,3677.00,162,0\r\n2006-02-02,20:49:00,3678.00,3678.00,3678.00,3678.00,15,0\r\n2006-02-02,20:50:00,3678.00,3680.00,3678.00,3680.00,73,0\r\n2006-02-02,20:51:00,3680.00,3680.00,3680.00,3680.00,44,0\r\n2006-02-02,20:52:00,3680.00,3680.00,3679.00,3679.00,122,0\r\n2006-02-02,20:53:00,3680.00,3680.00,3680.00,3680.00,68,0\r\n2006-02-02,20:56:00,3680.00,3680.00,3680.00,3680.00,74,0\r\n2006-02-02,20:57:00,3680.00,3680.00,3680.00,3680.00,1,0\r\n2006-02-02,20:58:00,3680.00,3680.00,3679.00,3679.00,351,0\r\n2006-02-02,20:59:00,3679.00,3679.00,3678.00,3678.00,240,0\r\n2006-02-02,21:00:00,3678.00,3678.00,3677.00,3677.00,13,0\r\n2006-02-02,21:01:00,3676.00,3676.00,3674.00,3674.00,84,0\r\n2006-02-02,21:02:00,3674.00,3676.00,3674.00,3676.00,129,0\r\n2006-02-02,21:03:00,3675.00,3675.00,3674.00,3675.00,221,0\r\n2006-02-02,21:04:00,3675.00,3675.00,3674.00,3674.00,43,0\r\n2006-02-02,21:05:00,3675.00,3676.00,3675.00,3676.00,404,0\r\n2006-02-02,21:06:00,3676.00,3677.00,3676.00,3676.00,47,0\r\n2006-02-02,21:07:00,3676.00,3678.00,3676.00,3678.00,208,0\r\n2006-02-02,21:08:00,3678.00,3680.00,3677.00,3679.00,206,0\r\n2006-02-02,21:09:00,3679.00,3679.00,3679.00,3679.00,102,0\r\n2006-02-02,21:10:00,3679.00,3680.00,3678.00,3679.00,84,0\r\n2006-02-02,21:11:00,3680.00,3680.00,3680.00,3680.00,22,0\r\n2006-02-02,21:12:00,3680.00,3681.00,3680.00,3681.00,211,0\r\n2006-02-02,21:13:00,3680.00,3680.00,3680.00,3680.00,7,0\r\n2006-02-02,21:14:00,3679.00,3679.00,3679.00,3679.00,25,0\r\n2006-02-02,21:15:00,3680.00,3680.00,3678.00,3679.00,41,0\r\n2006-02-02,21:16:00,3678.00,3679.00,3678.00,3678.00,31,0\r\n2006-02-02,21:17:00,3678.00,3681.00,3678.00,3681.00,128,0\r\n2006-02-02,21:18:00,3681.00,3682.00,3681.00,3682.00,295,0\r\n2006-02-02,21:19:00,3682.00,3683.00,3682.00,3683.00,136,0\r\n2006-02-02,21:20:00,3682.00,3684.00,3682.00,3684.00,206,0\r\n2006-02-02,21:21:00,3684.00,3685.00,3683.00,3685.00,473,0\r\n2006-02-02,21:22:00,3684.00,3685.00,3684.00,3684.00,14,0\r\n2006-02-02,21:23:00,3684.00,3685.00,3684.00,3685.00,76,0\r\n2006-02-02,21:24:00,3684.00,3685.00,3683.00,3684.00,146,0\r\n2006-02-02,21:25:00,3684.00,3684.00,3684.00,3684.00,90,0\r\n2006-02-02,21:27:00,3684.00,3685.00,3684.00,3685.00,64,0\r\n2006-02-02,21:28:00,3684.00,3685.00,3684.00,3684.00,79,0\r\n2006-02-02,21:29:00,3684.00,3684.00,3684.00,3684.00,10,0\r\n2006-02-02,21:30:00,3684.00,3685.00,3684.00,3685.00,2,0\r\n2006-02-02,21:31:00,3685.00,3685.00,3684.00,3685.00,16,0\r\n2006-02-02,21:32:00,3684.00,3685.00,3684.00,3684.00,44,0\r\n2006-02-02,21:33:00,3685.00,3685.00,3684.00,3685.00,158,0\r\n2006-02-02,21:34:00,3685.00,3685.00,3685.00,3685.00,37,0\r\n2006-02-02,21:35:00,3684.00,3685.00,3684.00,3685.00,12,0\r\n2006-02-02,21:36:00,3685.00,3686.00,3685.00,3686.00,74,0\r\n2006-02-02,21:37:00,3685.00,3685.00,3685.00,3685.00,2,0\r\n2006-02-02,21:38:00,3686.00,3686.00,3685.00,3686.00,8,0\r\n2006-02-02,21:39:00,3685.00,3686.00,3685.00,3686.00,6,0\r\n2006-02-02,21:40:00,3686.00,3686.00,3686.00,3686.00,54,0\r\n2006-02-02,21:41:00,3686.00,3686.00,3684.00,3684.00,20,0\r\n2006-02-02,21:42:00,3684.00,3684.00,3684.00,3684.00,11,0\r\n2006-02-02,21:43:00,3685.00,3685.00,3684.00,3685.00,56,0\r\n2006-02-02,21:44:00,3684.00,3684.00,3683.00,3683.00,107,0\r\n2006-02-02,21:45:00,3683.00,3684.00,3683.00,3684.00,4,0\r\n2006-02-02,21:47:00,3684.00,3685.00,3684.00,3685.00,54,0\r\n2006-02-02,21:48:00,3684.00,3684.00,3684.00,3684.00,26,0\r\n2006-02-02,21:49:00,3684.00,3685.00,3684.00,3684.00,19,0\r\n2006-02-02,21:51:00,3684.00,3685.00,3684.00,3685.00,30,0\r\n2006-02-02,21:52:00,3685.00,3685.00,3684.00,3684.00,64,0\r\n2006-02-02,21:53:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-02-02,21:54:00,3684.00,3685.00,3683.00,3684.00,44,0\r\n2006-02-02,21:55:00,3684.00,3684.00,3683.00,3684.00,37,0\r\n2006-02-02,21:56:00,3684.00,3684.00,3683.00,3683.00,109,0\r\n2006-02-02,21:57:00,3683.00,3684.00,3682.00,3683.00,293,0\r\n2006-02-02,21:58:00,3683.00,3684.00,3683.00,3683.00,57,0\r\n2006-02-02,21:59:00,3682.00,3683.00,3682.00,3682.00,204,0\r\n2006-02-02,22:00:00,3683.00,3684.00,3681.00,3682.00,407,0\r\n2006-02-03,09:01:00,3694.00,3699.00,3693.00,3699.00,8587,0\r\n2006-02-03,09:02:00,3698.00,3704.00,3698.00,3702.00,7121,0\r\n2006-02-03,09:03:00,3702.00,3703.00,3699.00,3700.00,4345,0\r\n2006-02-03,09:04:00,3700.00,3701.00,3699.00,3700.00,2374,0\r\n2006-02-03,09:05:00,3701.00,3701.00,3699.00,3700.00,2456,0\r\n2006-02-03,09:06:00,3699.00,3699.00,3696.00,3696.00,4208,0\r\n2006-02-03,09:07:00,3695.00,3697.00,3695.00,3697.00,2451,0\r\n2006-02-03,09:08:00,3697.00,3700.00,3696.00,3700.00,1993,0\r\n2006-02-03,09:09:00,3700.00,3703.00,3699.00,3703.00,2984,0\r\n2006-02-03,09:10:00,3703.00,3707.00,3703.00,3705.00,3873,0\r\n2006-02-03,09:11:00,3704.00,3705.00,3702.00,3703.00,1272,0\r\n2006-02-03,09:12:00,3703.00,3703.00,3702.00,3702.00,1319,0\r\n2006-02-03,09:13:00,3702.00,3702.00,3700.00,3700.00,645,0\r\n2006-02-03,09:14:00,3700.00,3701.00,3699.00,3700.00,668,0\r\n2006-02-03,09:15:00,3700.00,3700.00,3696.00,3697.00,1404,0\r\n2006-02-03,09:16:00,3696.00,3698.00,3696.00,3697.00,1864,0\r\n2006-02-03,09:17:00,3697.00,3697.00,3696.00,3696.00,580,0\r\n2006-02-03,09:18:00,3696.00,3697.00,3695.00,3697.00,1079,0\r\n2006-02-03,09:19:00,3696.00,3696.00,3695.00,3696.00,863,0\r\n2006-02-03,09:20:00,3695.00,3697.00,3695.00,3697.00,318,0\r\n2006-02-03,09:21:00,3697.00,3698.00,3696.00,3698.00,348,0\r\n2006-02-03,09:22:00,3697.00,3698.00,3696.00,3697.00,574,0\r\n2006-02-03,09:23:00,3697.00,3698.00,3696.00,3697.00,471,0\r\n2006-02-03,09:24:00,3697.00,3699.00,3697.00,3698.00,1525,0\r\n2006-02-03,09:25:00,3699.00,3701.00,3699.00,3700.00,2496,0\r\n2006-02-03,09:26:00,3700.00,3702.00,3700.00,3700.00,480,0\r\n2006-02-03,09:27:00,3700.00,3700.00,3698.00,3698.00,686,0\r\n2006-02-03,09:28:00,3698.00,3699.00,3698.00,3699.00,292,0\r\n2006-02-03,09:29:00,3699.00,3700.00,3697.00,3699.00,686,0\r\n2006-02-03,09:30:00,3699.00,3700.00,3699.00,3700.00,513,0\r\n2006-02-03,09:31:00,3700.00,3702.00,3700.00,3702.00,991,0\r\n2006-02-03,09:32:00,3702.00,3706.00,3702.00,3705.00,2015,0\r\n2006-02-03,09:33:00,3706.00,3706.00,3704.00,3706.00,1610,0\r\n2006-02-03,09:34:00,3706.00,3706.00,3705.00,3706.00,1358,0\r\n2006-02-03,09:35:00,3706.00,3706.00,3704.00,3704.00,1025,0\r\n2006-02-03,09:36:00,3704.00,3705.00,3704.00,3704.00,722,0\r\n2006-02-03,09:37:00,3703.00,3705.00,3703.00,3705.00,1062,0\r\n2006-02-03,09:38:00,3705.00,3706.00,3705.00,3705.00,842,0\r\n2006-02-03,09:39:00,3705.00,3705.00,3703.00,3704.00,560,0\r\n2006-02-03,09:40:00,3704.00,3705.00,3701.00,3701.00,745,0\r\n2006-02-03,09:41:00,3701.00,3702.00,3699.00,3700.00,1122,0\r\n2006-02-03,09:42:00,3701.00,3702.00,3701.00,3701.00,75,0\r\n2006-02-03,09:43:00,3701.00,3701.00,3700.00,3701.00,4246,0\r\n2006-02-03,09:44:00,3701.00,3702.00,3701.00,3701.00,221,0\r\n2006-02-03,09:45:00,3700.00,3701.00,3698.00,3699.00,1194,0\r\n2006-02-03,09:46:00,3699.00,3699.00,3698.00,3698.00,659,0\r\n2006-02-03,09:47:00,3697.00,3698.00,3696.00,3697.00,557,0\r\n2006-02-03,09:48:00,3698.00,3698.00,3697.00,3698.00,303,0\r\n2006-02-03,09:49:00,3698.00,3698.00,3697.00,3698.00,213,0\r\n2006-02-03,09:50:00,3698.00,3699.00,3697.00,3698.00,354,0\r\n2006-02-03,09:51:00,3697.00,3697.00,3696.00,3697.00,904,0\r\n2006-02-03,09:52:00,3698.00,3700.00,3698.00,3699.00,2592,0\r\n2006-02-03,09:53:00,3699.00,3700.00,3698.00,3699.00,229,0\r\n2006-02-03,09:54:00,3699.00,3699.00,3698.00,3698.00,144,0\r\n2006-02-03,09:55:00,3699.00,3700.00,3698.00,3699.00,182,0\r\n2006-02-03,09:56:00,3699.00,3701.00,3699.00,3699.00,1105,0\r\n2006-02-03,09:57:00,3700.00,3700.00,3697.00,3697.00,964,0\r\n2006-02-03,09:58:00,3697.00,3698.00,3697.00,3697.00,403,0\r\n2006-02-03,09:59:00,3697.00,3698.00,3697.00,3697.00,569,0\r\n2006-02-03,10:00:00,3698.00,3698.00,3695.00,3695.00,1043,0\r\n2006-02-03,10:01:00,3695.00,3697.00,3695.00,3697.00,1078,0\r\n2006-02-03,10:02:00,3697.00,3697.00,3695.00,3696.00,1117,0\r\n2006-02-03,10:03:00,3696.00,3696.00,3694.00,3695.00,329,0\r\n2006-02-03,10:04:00,3695.00,3695.00,3693.00,3695.00,1369,0\r\n2006-02-03,10:05:00,3695.00,3695.00,3691.00,3692.00,2427,0\r\n2006-02-03,10:06:00,3692.00,3694.00,3691.00,3692.00,2140,0\r\n2006-02-03,10:07:00,3692.00,3693.00,3691.00,3693.00,539,0\r\n2006-02-03,10:08:00,3693.00,3694.00,3693.00,3693.00,298,0\r\n2006-02-03,10:09:00,3692.00,3694.00,3692.00,3693.00,519,0\r\n2006-02-03,10:10:00,3692.00,3692.00,3689.00,3690.00,2251,0\r\n2006-02-03,10:11:00,3689.00,3690.00,3689.00,3690.00,1236,0\r\n2006-02-03,10:12:00,3690.00,3691.00,3687.00,3689.00,3754,0\r\n2006-02-03,10:13:00,3689.00,3689.00,3685.00,3685.00,6697,0\r\n2006-02-03,10:14:00,3686.00,3687.00,3683.00,3684.00,2974,0\r\n2006-02-03,10:15:00,3684.00,3686.00,3683.00,3686.00,1058,0\r\n2006-02-03,10:16:00,3686.00,3687.00,3685.00,3686.00,935,0\r\n2006-02-03,10:17:00,3686.00,3687.00,3685.00,3685.00,577,0\r\n2006-02-03,10:18:00,3685.00,3687.00,3685.00,3686.00,859,0\r\n2006-02-03,10:19:00,3686.00,3687.00,3685.00,3686.00,831,0\r\n2006-02-03,10:20:00,3686.00,3686.00,3685.00,3685.00,902,0\r\n2006-02-03,10:21:00,3685.00,3686.00,3685.00,3685.00,2120,0\r\n2006-02-03,10:22:00,3685.00,3687.00,3684.00,3686.00,942,0\r\n2006-02-03,10:23:00,3686.00,3688.00,3686.00,3687.00,637,0\r\n2006-02-03,10:24:00,3686.00,3686.00,3685.00,3685.00,1244,0\r\n2006-02-03,10:25:00,3685.00,3686.00,3684.00,3685.00,1359,0\r\n2006-02-03,10:26:00,3685.00,3685.00,3682.00,3685.00,2986,0\r\n2006-02-03,10:27:00,3685.00,3686.00,3684.00,3686.00,376,0\r\n2006-02-03,10:28:00,3686.00,3686.00,3685.00,3685.00,610,0\r\n2006-02-03,10:29:00,3685.00,3685.00,3684.00,3685.00,469,0\r\n2006-02-03,10:30:00,3685.00,3687.00,3684.00,3686.00,928,0\r\n2006-02-03,10:31:00,3686.00,3686.00,3685.00,3686.00,435,0\r\n2006-02-03,10:32:00,3686.00,3686.00,3685.00,3686.00,138,0\r\n2006-02-03,10:33:00,3686.00,3687.00,3686.00,3687.00,485,0\r\n2006-02-03,10:34:00,3688.00,3688.00,3687.00,3688.00,685,0\r\n2006-02-03,10:35:00,3688.00,3688.00,3686.00,3687.00,526,0\r\n2006-02-03,10:36:00,3687.00,3688.00,3687.00,3688.00,500,0\r\n2006-02-03,10:37:00,3687.00,3688.00,3687.00,3688.00,204,0\r\n2006-02-03,10:38:00,3688.00,3690.00,3688.00,3689.00,2031,0\r\n2006-02-03,10:39:00,3689.00,3689.00,3687.00,3687.00,1437,0\r\n2006-02-03,10:40:00,3688.00,3690.00,3688.00,3690.00,1559,0\r\n2006-02-03,10:41:00,3689.00,3689.00,3688.00,3689.00,602,0\r\n2006-02-03,10:42:00,3689.00,3689.00,3688.00,3688.00,376,0\r\n2006-02-03,10:43:00,3689.00,3689.00,3687.00,3688.00,292,0\r\n2006-02-03,10:44:00,3687.00,3687.00,3687.00,3687.00,502,0\r\n2006-02-03,10:45:00,3687.00,3687.00,3686.00,3687.00,2029,0\r\n2006-02-03,10:46:00,3687.00,3689.00,3687.00,3689.00,1028,0\r\n2006-02-03,10:47:00,3689.00,3691.00,3689.00,3690.00,993,0\r\n2006-02-03,10:48:00,3691.00,3691.00,3690.00,3690.00,95,0\r\n2006-02-03,10:49:00,3690.00,3691.00,3690.00,3691.00,1949,0\r\n2006-02-03,10:50:00,3691.00,3692.00,3691.00,3692.00,276,0\r\n2006-02-03,10:51:00,3692.00,3693.00,3692.00,3693.00,471,0\r\n2006-02-03,10:52:00,3693.00,3693.00,3691.00,3693.00,824,0\r\n2006-02-03,10:53:00,3693.00,3693.00,3692.00,3692.00,329,0\r\n2006-02-03,10:54:00,3691.00,3692.00,3691.00,3692.00,1622,0\r\n2006-02-03,10:55:00,3692.00,3693.00,3691.00,3691.00,1068,0\r\n2006-02-03,10:56:00,3692.00,3692.00,3691.00,3692.00,318,0\r\n2006-02-03,10:57:00,3691.00,3692.00,3690.00,3690.00,2031,0\r\n2006-02-03,10:58:00,3690.00,3692.00,3690.00,3690.00,1200,0\r\n2006-02-03,10:59:00,3691.00,3692.00,3690.00,3691.00,596,0\r\n2006-02-03,11:00:00,3692.00,3692.00,3691.00,3691.00,752,0\r\n2006-02-03,11:01:00,3692.00,3692.00,3690.00,3690.00,1097,0\r\n2006-02-03,11:02:00,3691.00,3691.00,3689.00,3690.00,414,0\r\n2006-02-03,11:03:00,3690.00,3690.00,3689.00,3690.00,438,0\r\n2006-02-03,11:04:00,3689.00,3690.00,3689.00,3690.00,612,0\r\n2006-02-03,11:05:00,3690.00,3691.00,3689.00,3691.00,784,0\r\n2006-02-03,11:06:00,3690.00,3691.00,3690.00,3691.00,207,0\r\n2006-02-03,11:07:00,3690.00,3691.00,3688.00,3688.00,997,0\r\n2006-02-03,11:08:00,3688.00,3689.00,3687.00,3688.00,2267,0\r\n2006-02-03,11:09:00,3687.00,3688.00,3686.00,3686.00,1783,0\r\n2006-02-03,11:10:00,3686.00,3687.00,3686.00,3686.00,298,0\r\n2006-02-03,11:11:00,3686.00,3687.00,3685.00,3687.00,2117,0\r\n2006-02-03,11:12:00,3687.00,3688.00,3686.00,3687.00,1539,0\r\n2006-02-03,11:13:00,3687.00,3688.00,3687.00,3687.00,136,0\r\n2006-02-03,11:14:00,3688.00,3688.00,3686.00,3686.00,685,0\r\n2006-02-03,11:15:00,3687.00,3688.00,3686.00,3686.00,357,0\r\n2006-02-03,11:16:00,3687.00,3687.00,3686.00,3686.00,540,0\r\n2006-02-03,11:17:00,3686.00,3687.00,3686.00,3686.00,165,0\r\n2006-02-03,11:18:00,3686.00,3687.00,3682.00,3682.00,5222,0\r\n2006-02-03,11:19:00,3681.00,3683.00,3680.00,3683.00,2820,0\r\n2006-02-03,11:20:00,3682.00,3683.00,3681.00,3682.00,714,0\r\n2006-02-03,11:21:00,3682.00,3683.00,3682.00,3682.00,685,0\r\n2006-02-03,11:22:00,3682.00,3684.00,3681.00,3682.00,1037,0\r\n2006-02-03,11:23:00,3681.00,3682.00,3679.00,3680.00,2858,0\r\n2006-02-03,11:24:00,3680.00,3682.00,3679.00,3680.00,2614,0\r\n2006-02-03,11:25:00,3680.00,3683.00,3680.00,3682.00,1382,0\r\n2006-02-03,11:26:00,3682.00,3683.00,3682.00,3682.00,918,0\r\n2006-02-03,11:27:00,3682.00,3683.00,3681.00,3683.00,344,0\r\n2006-02-03,11:28:00,3682.00,3683.00,3681.00,3683.00,239,0\r\n2006-02-03,11:29:00,3682.00,3683.00,3681.00,3682.00,301,0\r\n2006-02-03,11:30:00,3682.00,3684.00,3681.00,3683.00,654,0\r\n2006-02-03,11:31:00,3683.00,3683.00,3681.00,3682.00,657,0\r\n2006-02-03,11:32:00,3682.00,3684.00,3682.00,3684.00,1347,0\r\n2006-02-03,11:33:00,3684.00,3684.00,3683.00,3683.00,641,0\r\n2006-02-03,11:34:00,3683.00,3684.00,3682.00,3682.00,289,0\r\n2006-02-03,11:35:00,3682.00,3682.00,3682.00,3682.00,581,0\r\n2006-02-03,11:36:00,3683.00,3684.00,3683.00,3683.00,631,0\r\n2006-02-03,11:37:00,3683.00,3684.00,3682.00,3683.00,318,0\r\n2006-02-03,11:38:00,3683.00,3684.00,3682.00,3684.00,176,0\r\n2006-02-03,11:39:00,3684.00,3685.00,3684.00,3685.00,2109,0\r\n2006-02-03,11:40:00,3685.00,3686.00,3684.00,3685.00,918,0\r\n2006-02-03,11:41:00,3686.00,3686.00,3684.00,3686.00,1479,0\r\n2006-02-03,11:42:00,3686.00,3687.00,3686.00,3686.00,1005,0\r\n2006-02-03,11:43:00,3687.00,3688.00,3687.00,3687.00,1321,0\r\n2006-02-03,11:44:00,3688.00,3688.00,3686.00,3687.00,1651,0\r\n2006-02-03,11:45:00,3688.00,3689.00,3687.00,3688.00,680,0\r\n2006-02-03,11:46:00,3689.00,3689.00,3688.00,3689.00,435,0\r\n2006-02-03,11:47:00,3688.00,3689.00,3687.00,3687.00,394,0\r\n2006-02-03,11:48:00,3687.00,3687.00,3686.00,3687.00,61,0\r\n2006-02-03,11:49:00,3687.00,3687.00,3687.00,3687.00,110,0\r\n2006-02-03,11:50:00,3687.00,3687.00,3686.00,3687.00,72,0\r\n2006-02-03,11:51:00,3686.00,3687.00,3686.00,3687.00,367,0\r\n2006-02-03,11:52:00,3686.00,3687.00,3686.00,3687.00,147,0\r\n2006-02-03,11:53:00,3687.00,3687.00,3687.00,3687.00,178,0\r\n2006-02-03,11:54:00,3687.00,3688.00,3687.00,3688.00,198,0\r\n2006-02-03,11:55:00,3687.00,3688.00,3687.00,3688.00,360,0\r\n2006-02-03,11:56:00,3688.00,3689.00,3688.00,3689.00,243,0\r\n2006-02-03,11:57:00,3689.00,3689.00,3688.00,3689.00,190,0\r\n2006-02-03,11:58:00,3689.00,3691.00,3689.00,3690.00,872,0\r\n2006-02-03,11:59:00,3690.00,3692.00,3690.00,3691.00,955,0\r\n2006-02-03,12:00:00,3692.00,3692.00,3691.00,3692.00,686,0\r\n2006-02-03,12:01:00,3691.00,3692.00,3689.00,3690.00,1516,0\r\n2006-02-03,12:02:00,3689.00,3690.00,3689.00,3689.00,68,0\r\n2006-02-03,12:03:00,3689.00,3689.00,3688.00,3688.00,244,0\r\n2006-02-03,12:04:00,3689.00,3690.00,3689.00,3690.00,600,0\r\n2006-02-03,12:05:00,3690.00,3690.00,3689.00,3689.00,108,0\r\n2006-02-03,12:06:00,3690.00,3690.00,3689.00,3689.00,44,0\r\n2006-02-03,12:07:00,3689.00,3690.00,3688.00,3689.00,241,0\r\n2006-02-03,12:08:00,3688.00,3689.00,3688.00,3688.00,54,0\r\n2006-02-03,12:09:00,3688.00,3689.00,3688.00,3689.00,58,0\r\n2006-02-03,12:10:00,3689.00,3689.00,3688.00,3689.00,1852,0\r\n2006-02-03,12:11:00,3689.00,3689.00,3688.00,3689.00,61,0\r\n2006-02-03,12:12:00,3689.00,3689.00,3688.00,3689.00,161,0\r\n2006-02-03,12:13:00,3689.00,3689.00,3688.00,3688.00,203,0\r\n2006-02-03,12:14:00,3688.00,3688.00,3688.00,3688.00,56,0\r\n2006-02-03,12:15:00,3688.00,3689.00,3688.00,3689.00,10,0\r\n2006-02-03,12:16:00,3689.00,3689.00,3688.00,3688.00,305,0\r\n2006-02-03,12:17:00,3689.00,3689.00,3688.00,3689.00,344,0\r\n2006-02-03,12:18:00,3689.00,3690.00,3689.00,3690.00,44,0\r\n2006-02-03,12:19:00,3690.00,3690.00,3689.00,3690.00,117,0\r\n2006-02-03,12:20:00,3690.00,3690.00,3689.00,3690.00,9,0\r\n2006-02-03,12:21:00,3690.00,3691.00,3690.00,3690.00,521,0\r\n2006-02-03,12:22:00,3690.00,3690.00,3689.00,3689.00,318,0\r\n2006-02-03,12:23:00,3690.00,3691.00,3690.00,3691.00,283,0\r\n2006-02-03,12:24:00,3691.00,3691.00,3691.00,3691.00,121,0\r\n2006-02-03,12:25:00,3691.00,3691.00,3691.00,3691.00,339,0\r\n2006-02-03,12:26:00,3691.00,3691.00,3690.00,3690.00,226,0\r\n2006-02-03,12:27:00,3691.00,3691.00,3690.00,3690.00,146,0\r\n2006-02-03,12:28:00,3691.00,3691.00,3690.00,3691.00,60,0\r\n2006-02-03,12:29:00,3690.00,3691.00,3690.00,3690.00,440,0\r\n2006-02-03,12:30:00,3690.00,3691.00,3690.00,3691.00,123,0\r\n2006-02-03,12:31:00,3691.00,3691.00,3690.00,3691.00,14,0\r\n2006-02-03,12:32:00,3690.00,3691.00,3690.00,3691.00,214,0\r\n2006-02-03,12:33:00,3691.00,3692.00,3691.00,3691.00,101,0\r\n2006-02-03,12:34:00,3692.00,3692.00,3691.00,3691.00,379,0\r\n2006-02-03,12:35:00,3691.00,3692.00,3691.00,3691.00,71,0\r\n2006-02-03,12:36:00,3692.00,3692.00,3691.00,3691.00,16,0\r\n2006-02-03,12:37:00,3692.00,3693.00,3691.00,3692.00,663,0\r\n2006-02-03,12:38:00,3693.00,3693.00,3692.00,3692.00,52,0\r\n2006-02-03,12:39:00,3693.00,3693.00,3692.00,3692.00,179,0\r\n2006-02-03,12:40:00,3693.00,3693.00,3692.00,3692.00,179,0\r\n2006-02-03,12:41:00,3693.00,3693.00,3691.00,3692.00,193,0\r\n2006-02-03,12:42:00,3692.00,3692.00,3691.00,3692.00,41,0\r\n2006-02-03,12:43:00,3692.00,3692.00,3691.00,3691.00,5,0\r\n2006-02-03,12:44:00,3692.00,3692.00,3691.00,3691.00,80,0\r\n2006-02-03,12:45:00,3692.00,3692.00,3691.00,3691.00,252,0\r\n2006-02-03,12:46:00,3692.00,3692.00,3691.00,3692.00,308,0\r\n2006-02-03,12:47:00,3692.00,3693.00,3692.00,3692.00,225,0\r\n2006-02-03,12:48:00,3693.00,3693.00,3692.00,3692.00,123,0\r\n2006-02-03,12:49:00,3693.00,3693.00,3692.00,3692.00,29,0\r\n2006-02-03,12:50:00,3693.00,3693.00,3693.00,3693.00,18,0\r\n2006-02-03,12:51:00,3693.00,3693.00,3692.00,3692.00,501,0\r\n2006-02-03,12:52:00,3692.00,3692.00,3691.00,3692.00,31,0\r\n2006-02-03,12:53:00,3692.00,3692.00,3692.00,3692.00,167,0\r\n2006-02-03,12:54:00,3692.00,3692.00,3692.00,3692.00,22,0\r\n2006-02-03,12:55:00,3692.00,3692.00,3691.00,3692.00,146,0\r\n2006-02-03,12:56:00,3691.00,3692.00,3691.00,3692.00,161,0\r\n2006-02-03,12:57:00,3691.00,3692.00,3691.00,3691.00,168,0\r\n2006-02-03,12:58:00,3691.00,3692.00,3691.00,3691.00,628,0\r\n2006-02-03,12:59:00,3690.00,3691.00,3690.00,3691.00,163,0\r\n2006-02-03,13:00:00,3691.00,3691.00,3690.00,3690.00,187,0\r\n2006-02-03,13:01:00,3690.00,3691.00,3690.00,3691.00,153,0\r\n2006-02-03,13:02:00,3691.00,3691.00,3690.00,3690.00,36,0\r\n2006-02-03,13:03:00,3690.00,3691.00,3690.00,3690.00,110,0\r\n2006-02-03,13:04:00,3690.00,3690.00,3689.00,3689.00,30,0\r\n2006-02-03,13:05:00,3690.00,3690.00,3689.00,3690.00,148,0\r\n2006-02-03,13:06:00,3690.00,3692.00,3690.00,3691.00,175,0\r\n2006-02-03,13:07:00,3691.00,3692.00,3691.00,3691.00,164,0\r\n2006-02-03,13:08:00,3691.00,3692.00,3691.00,3691.00,40,0\r\n2006-02-03,13:09:00,3692.00,3692.00,3692.00,3692.00,30,0\r\n2006-02-03,13:10:00,3692.00,3692.00,3691.00,3692.00,60,0\r\n2006-02-03,13:11:00,3691.00,3692.00,3691.00,3691.00,47,0\r\n2006-02-03,13:12:00,3691.00,3692.00,3690.00,3691.00,727,0\r\n2006-02-03,13:13:00,3691.00,3692.00,3691.00,3692.00,118,0\r\n2006-02-03,13:14:00,3691.00,3692.00,3690.00,3692.00,284,0\r\n2006-02-03,13:15:00,3691.00,3692.00,3691.00,3691.00,135,0\r\n2006-02-03,13:16:00,3692.00,3692.00,3690.00,3691.00,428,0\r\n2006-02-03,13:17:00,3690.00,3691.00,3690.00,3690.00,89,0\r\n2006-02-03,13:18:00,3690.00,3691.00,3690.00,3690.00,87,0\r\n2006-02-03,13:19:00,3690.00,3691.00,3690.00,3690.00,5,0\r\n2006-02-03,13:20:00,3691.00,3691.00,3689.00,3690.00,457,0\r\n2006-02-03,13:21:00,3690.00,3691.00,3689.00,3690.00,278,0\r\n2006-02-03,13:22:00,3690.00,3691.00,3690.00,3691.00,39,0\r\n2006-02-03,13:23:00,3691.00,3691.00,3690.00,3691.00,55,0\r\n2006-02-03,13:24:00,3690.00,3690.00,3688.00,3689.00,883,0\r\n2006-02-03,13:25:00,3689.00,3689.00,3687.00,3687.00,1737,0\r\n2006-02-03,13:26:00,3688.00,3688.00,3687.00,3688.00,1078,0\r\n2006-02-03,13:27:00,3687.00,3688.00,3687.00,3688.00,46,0\r\n2006-02-03,13:28:00,3687.00,3688.00,3687.00,3688.00,25,0\r\n2006-02-03,13:29:00,3688.00,3688.00,3687.00,3687.00,340,0\r\n2006-02-03,13:30:00,3687.00,3687.00,3687.00,3687.00,134,0\r\n2006-02-03,13:31:00,3687.00,3687.00,3686.00,3687.00,38,0\r\n2006-02-03,13:32:00,3686.00,3687.00,3686.00,3687.00,288,0\r\n2006-02-03,13:33:00,3687.00,3687.00,3686.00,3687.00,19,0\r\n2006-02-03,13:34:00,3687.00,3687.00,3687.00,3687.00,18,0\r\n2006-02-03,13:35:00,3687.00,3687.00,3687.00,3687.00,83,0\r\n2006-02-03,13:36:00,3688.00,3688.00,3687.00,3688.00,15,0\r\n2006-02-03,13:37:00,3688.00,3689.00,3688.00,3688.00,111,0\r\n2006-02-03,13:38:00,3689.00,3689.00,3689.00,3689.00,113,0\r\n2006-02-03,13:39:00,3689.00,3689.00,3688.00,3688.00,1061,0\r\n2006-02-03,13:40:00,3688.00,3689.00,3688.00,3689.00,71,0\r\n2006-02-03,13:41:00,3689.00,3689.00,3689.00,3689.00,4,0\r\n2006-02-03,13:42:00,3689.00,3689.00,3688.00,3689.00,166,0\r\n2006-02-03,13:43:00,3689.00,3689.00,3689.00,3689.00,232,0\r\n2006-02-03,13:44:00,3688.00,3689.00,3688.00,3689.00,231,0\r\n2006-02-03,13:45:00,3689.00,3689.00,3689.00,3689.00,276,0\r\n2006-02-03,13:46:00,3690.00,3690.00,3689.00,3689.00,229,0\r\n2006-02-03,13:47:00,3690.00,3690.00,3689.00,3690.00,11,0\r\n2006-02-03,13:48:00,3690.00,3690.00,3690.00,3690.00,260,0\r\n2006-02-03,13:49:00,3691.00,3691.00,3690.00,3690.00,183,0\r\n2006-02-03,13:50:00,3690.00,3690.00,3689.00,3689.00,111,0\r\n2006-02-03,13:51:00,3690.00,3690.00,3689.00,3690.00,98,0\r\n2006-02-03,13:52:00,3690.00,3690.00,3690.00,3690.00,42,0\r\n2006-02-03,13:53:00,3690.00,3690.00,3690.00,3690.00,2,0\r\n2006-02-03,13:54:00,3690.00,3690.00,3689.00,3690.00,5,0\r\n2006-02-03,13:55:00,3690.00,3690.00,3690.00,3690.00,134,0\r\n2006-02-03,13:56:00,3690.00,3690.00,3690.00,3690.00,125,0\r\n2006-02-03,13:57:00,3690.00,3690.00,3690.00,3690.00,292,0\r\n2006-02-03,13:58:00,3691.00,3691.00,3691.00,3691.00,2,0\r\n2006-02-03,13:59:00,3691.00,3691.00,3690.00,3690.00,3,0\r\n2006-02-03,14:00:00,3690.00,3691.00,3689.00,3689.00,975,0\r\n2006-02-03,14:01:00,3690.00,3690.00,3689.00,3689.00,148,0\r\n2006-02-03,14:02:00,3689.00,3690.00,3689.00,3690.00,17,0\r\n2006-02-03,14:03:00,3690.00,3690.00,3689.00,3689.00,601,0\r\n2006-02-03,14:04:00,3689.00,3690.00,3689.00,3690.00,20,0\r\n2006-02-03,14:05:00,3689.00,3689.00,3689.00,3689.00,68,0\r\n2006-02-03,14:06:00,3689.00,3690.00,3688.00,3689.00,76,0\r\n2006-02-03,14:07:00,3689.00,3689.00,3689.00,3689.00,275,0\r\n2006-02-03,14:08:00,3689.00,3689.00,3689.00,3689.00,50,0\r\n2006-02-03,14:09:00,3689.00,3689.00,3688.00,3688.00,55,0\r\n2006-02-03,14:10:00,3689.00,3689.00,3689.00,3689.00,11,0\r\n2006-02-03,14:11:00,3689.00,3689.00,3689.00,3689.00,53,0\r\n2006-02-03,14:12:00,3689.00,3691.00,3689.00,3690.00,240,0\r\n2006-02-03,14:13:00,3691.00,3691.00,3690.00,3690.00,8,0\r\n2006-02-03,14:14:00,3691.00,3691.00,3691.00,3691.00,354,0\r\n2006-02-03,14:15:00,3691.00,3691.00,3690.00,3690.00,8,0\r\n2006-02-03,14:16:00,3691.00,3692.00,3691.00,3692.00,459,0\r\n2006-02-03,14:17:00,3691.00,3692.00,3691.00,3691.00,127,0\r\n2006-02-03,14:18:00,3691.00,3692.00,3691.00,3692.00,6,0\r\n2006-02-03,14:19:00,3692.00,3692.00,3692.00,3692.00,8,0\r\n2006-02-03,14:20:00,3692.00,3692.00,3692.00,3692.00,3,0\r\n2006-02-03,14:21:00,3692.00,3692.00,3691.00,3692.00,3,0\r\n2006-02-03,14:22:00,3692.00,3692.00,3691.00,3692.00,635,0\r\n2006-02-03,14:23:00,3692.00,3692.00,3691.00,3692.00,177,0\r\n2006-02-03,14:24:00,3692.00,3692.00,3691.00,3692.00,89,0\r\n2006-02-03,14:25:00,3692.00,3693.00,3692.00,3693.00,566,0\r\n2006-02-03,14:26:00,3693.00,3693.00,3693.00,3693.00,231,0\r\n2006-02-03,14:27:00,3693.00,3694.00,3693.00,3693.00,261,0\r\n2006-02-03,14:28:00,3694.00,3694.00,3693.00,3694.00,419,0\r\n2006-02-03,14:29:00,3694.00,3695.00,3693.00,3694.00,1239,0\r\n2006-02-03,14:30:00,3695.00,3695.00,3691.00,3692.00,617,0\r\n2006-02-03,14:31:00,3693.00,3693.00,3682.00,3692.00,9169,0\r\n2006-02-03,14:32:00,3692.00,3698.00,3692.00,3696.00,4455,0\r\n2006-02-03,14:33:00,3696.00,3699.00,3695.00,3695.00,6149,0\r\n2006-02-03,14:34:00,3695.00,3695.00,3691.00,3691.00,4305,0\r\n2006-02-03,14:35:00,3691.00,3692.00,3688.00,3688.00,3043,0\r\n2006-02-03,14:36:00,3688.00,3693.00,3688.00,3692.00,3842,0\r\n2006-02-03,14:37:00,3692.00,3692.00,3687.00,3687.00,1828,0\r\n2006-02-03,14:38:00,3688.00,3688.00,3680.00,3681.00,8615,0\r\n2006-02-03,14:39:00,3680.00,3683.00,3678.00,3683.00,4698,0\r\n2006-02-03,14:40:00,3683.00,3685.00,3682.00,3684.00,1988,0\r\n2006-02-03,14:41:00,3685.00,3688.00,3684.00,3686.00,2497,0\r\n2006-02-03,14:42:00,3685.00,3688.00,3685.00,3686.00,1559,0\r\n2006-02-03,14:43:00,3686.00,3689.00,3686.00,3687.00,3094,0\r\n2006-02-03,14:44:00,3687.00,3688.00,3687.00,3687.00,632,0\r\n2006-02-03,14:45:00,3687.00,3690.00,3686.00,3689.00,1677,0\r\n2006-02-03,14:46:00,3689.00,3689.00,3686.00,3686.00,1234,0\r\n2006-02-03,14:47:00,3686.00,3689.00,3686.00,3689.00,1297,0\r\n2006-02-03,14:48:00,3689.00,3691.00,3688.00,3689.00,1565,0\r\n2006-02-03,14:49:00,3689.00,3690.00,3686.00,3686.00,1470,0\r\n2006-02-03,14:50:00,3686.00,3687.00,3684.00,3685.00,1380,0\r\n2006-02-03,14:51:00,3685.00,3687.00,3685.00,3687.00,965,0\r\n2006-02-03,14:52:00,3687.00,3688.00,3686.00,3686.00,633,0\r\n2006-02-03,14:53:00,3686.00,3687.00,3686.00,3687.00,63,0\r\n2006-02-03,14:54:00,3686.00,3686.00,3682.00,3684.00,2848,0\r\n2006-02-03,14:55:00,3684.00,3686.00,3683.00,3684.00,2275,0\r\n2006-02-03,14:56:00,3684.00,3685.00,3682.00,3684.00,1287,0\r\n2006-02-03,14:57:00,3684.00,3684.00,3680.00,3681.00,2329,0\r\n2006-02-03,14:58:00,3681.00,3684.00,3680.00,3683.00,1647,0\r\n2006-02-03,14:59:00,3683.00,3686.00,3682.00,3683.00,1502,0\r\n2006-02-03,15:00:00,3683.00,3683.00,3679.00,3681.00,3378,0\r\n2006-02-03,15:01:00,3681.00,3682.00,3679.00,3682.00,2084,0\r\n2006-02-03,15:02:00,3682.00,3683.00,3680.00,3681.00,1929,0\r\n2006-02-03,15:03:00,3682.00,3682.00,3680.00,3680.00,941,0\r\n2006-02-03,15:04:00,3680.00,3682.00,3677.00,3678.00,2045,0\r\n2006-02-03,15:05:00,3677.00,3677.00,3673.00,3674.00,9256,0\r\n2006-02-03,15:06:00,3673.00,3674.00,3669.00,3669.00,8429,0\r\n2006-02-03,15:07:00,3670.00,3673.00,3669.00,3673.00,4051,0\r\n2006-02-03,15:08:00,3673.00,3675.00,3672.00,3675.00,2835,0\r\n2006-02-03,15:09:00,3675.00,3676.00,3674.00,3676.00,3141,0\r\n2006-02-03,15:10:00,3675.00,3677.00,3675.00,3676.00,2332,0\r\n2006-02-03,15:11:00,3676.00,3676.00,3673.00,3674.00,2814,0\r\n2006-02-03,15:12:00,3675.00,3675.00,3673.00,3675.00,648,0\r\n2006-02-03,15:13:00,3674.00,3676.00,3673.00,3674.00,868,0\r\n2006-02-03,15:14:00,3674.00,3674.00,3672.00,3673.00,1329,0\r\n2006-02-03,15:15:00,3673.00,3673.00,3671.00,3671.00,573,0\r\n2006-02-03,15:16:00,3671.00,3672.00,3668.00,3668.00,4536,0\r\n2006-02-03,15:17:00,3668.00,3668.00,3665.00,3666.00,5739,0\r\n2006-02-03,15:18:00,3667.00,3667.00,3664.00,3666.00,2736,0\r\n2006-02-03,15:19:00,3665.00,3667.00,3665.00,3667.00,2755,0\r\n2006-02-03,15:20:00,3667.00,3669.00,3667.00,3669.00,1906,0\r\n2006-02-03,15:21:00,3669.00,3670.00,3668.00,3670.00,1695,0\r\n2006-02-03,15:22:00,3670.00,3670.00,3668.00,3670.00,1360,0\r\n2006-02-03,15:23:00,3669.00,3670.00,3667.00,3667.00,1005,0\r\n2006-02-03,15:24:00,3667.00,3668.00,3666.00,3668.00,971,0\r\n2006-02-03,15:25:00,3668.00,3670.00,3667.00,3669.00,2015,0\r\n2006-02-03,15:26:00,3670.00,3670.00,3667.00,3668.00,1078,0\r\n2006-02-03,15:27:00,3668.00,3671.00,3668.00,3671.00,1386,0\r\n2006-02-03,15:28:00,3671.00,3672.00,3670.00,3670.00,938,0\r\n2006-02-03,15:29:00,3670.00,3671.00,3666.00,3668.00,1751,0\r\n2006-02-03,15:30:00,3667.00,3668.00,3665.00,3668.00,2525,0\r\n2006-02-03,15:31:00,3668.00,3670.00,3668.00,3670.00,1240,0\r\n2006-02-03,15:32:00,3670.00,3671.00,3669.00,3670.00,1672,0\r\n2006-02-03,15:33:00,3670.00,3670.00,3668.00,3669.00,1247,0\r\n2006-02-03,15:34:00,3668.00,3672.00,3668.00,3671.00,1403,0\r\n2006-02-03,15:35:00,3671.00,3671.00,3669.00,3670.00,1107,0\r\n2006-02-03,15:36:00,3670.00,3674.00,3670.00,3673.00,1086,0\r\n2006-02-03,15:37:00,3673.00,3673.00,3671.00,3673.00,1507,0\r\n2006-02-03,15:38:00,3673.00,3673.00,3672.00,3672.00,1232,0\r\n2006-02-03,15:39:00,3672.00,3672.00,3670.00,3671.00,1290,0\r\n2006-02-03,15:40:00,3672.00,3672.00,3671.00,3672.00,444,0\r\n2006-02-03,15:41:00,3672.00,3672.00,3671.00,3672.00,561,0\r\n2006-02-03,15:42:00,3672.00,3674.00,3672.00,3673.00,1083,0\r\n2006-02-03,15:43:00,3674.00,3676.00,3673.00,3676.00,3505,0\r\n2006-02-03,15:44:00,3676.00,3679.00,3676.00,3678.00,3108,0\r\n2006-02-03,15:45:00,3679.00,3681.00,3679.00,3680.00,2783,0\r\n2006-02-03,15:46:00,3679.00,3680.00,3678.00,3678.00,1301,0\r\n2006-02-03,15:47:00,3678.00,3679.00,3675.00,3677.00,1658,0\r\n2006-02-03,15:48:00,3676.00,3676.00,3673.00,3673.00,3895,0\r\n2006-02-03,15:49:00,3673.00,3673.00,3670.00,3672.00,2505,0\r\n2006-02-03,15:50:00,3672.00,3673.00,3671.00,3672.00,1249,0\r\n2006-02-03,15:51:00,3673.00,3674.00,3672.00,3674.00,1265,0\r\n2006-02-03,15:52:00,3673.00,3673.00,3671.00,3671.00,1212,0\r\n2006-02-03,15:53:00,3670.00,3671.00,3669.00,3669.00,2227,0\r\n2006-02-03,15:54:00,3669.00,3672.00,3669.00,3671.00,984,0\r\n2006-02-03,15:55:00,3670.00,3671.00,3668.00,3668.00,1341,0\r\n2006-02-03,15:56:00,3668.00,3668.00,3664.00,3665.00,5086,0\r\n2006-02-03,15:57:00,3664.00,3665.00,3661.00,3664.00,6699,0\r\n2006-02-03,15:58:00,3664.00,3667.00,3663.00,3666.00,3032,0\r\n2006-02-03,15:59:00,3666.00,3668.00,3663.00,3663.00,2385,0\r\n2006-02-03,16:00:00,3663.00,3666.00,3663.00,3664.00,1517,0\r\n2006-02-03,16:01:00,3665.00,3666.00,3661.00,3665.00,5951,0\r\n2006-02-03,16:02:00,3665.00,3668.00,3663.00,3668.00,2720,0\r\n2006-02-03,16:03:00,3668.00,3671.00,3667.00,3670.00,4259,0\r\n2006-02-03,16:04:00,3671.00,3672.00,3670.00,3672.00,4629,0\r\n2006-02-03,16:05:00,3672.00,3674.00,3672.00,3674.00,3349,0\r\n2006-02-03,16:06:00,3674.00,3678.00,3674.00,3675.00,4047,0\r\n2006-02-03,16:07:00,3676.00,3677.00,3672.00,3674.00,3959,0\r\n2006-02-03,16:08:00,3673.00,3675.00,3672.00,3674.00,2592,0\r\n2006-02-03,16:09:00,3674.00,3674.00,3672.00,3673.00,1013,0\r\n2006-02-03,16:10:00,3673.00,3673.00,3669.00,3669.00,3266,0\r\n2006-02-03,16:11:00,3669.00,3675.00,3669.00,3674.00,2714,0\r\n2006-02-03,16:12:00,3674.00,3678.00,3674.00,3678.00,3527,0\r\n2006-02-03,16:13:00,3678.00,3679.00,3677.00,3678.00,1652,0\r\n2006-02-03,16:14:00,3678.00,3678.00,3674.00,3674.00,2447,0\r\n2006-02-03,16:15:00,3673.00,3674.00,3672.00,3672.00,2584,0\r\n2006-02-03,16:16:00,3672.00,3674.00,3671.00,3673.00,1459,0\r\n2006-02-03,16:17:00,3674.00,3676.00,3673.00,3676.00,1088,0\r\n2006-02-03,16:18:00,3677.00,3678.00,3676.00,3677.00,3844,0\r\n2006-02-03,16:19:00,3677.00,3677.00,3672.00,3672.00,1737,0\r\n2006-02-03,16:20:00,3672.00,3675.00,3672.00,3674.00,1950,0\r\n2006-02-03,16:21:00,3675.00,3675.00,3673.00,3674.00,934,0\r\n2006-02-03,16:22:00,3674.00,3676.00,3673.00,3674.00,1806,0\r\n2006-02-03,16:23:00,3674.00,3675.00,3670.00,3670.00,2530,0\r\n2006-02-03,16:24:00,3670.00,3672.00,3670.00,3671.00,2130,0\r\n2006-02-03,16:25:00,3672.00,3676.00,3672.00,3675.00,3106,0\r\n2006-02-03,16:26:00,3675.00,3677.00,3675.00,3676.00,1183,0\r\n2006-02-03,16:27:00,3675.00,3676.00,3675.00,3676.00,895,0\r\n2006-02-03,16:28:00,3676.00,3677.00,3675.00,3675.00,2280,0\r\n2006-02-03,16:29:00,3676.00,3676.00,3675.00,3676.00,2137,0\r\n2006-02-03,16:30:00,3675.00,3675.00,3671.00,3672.00,1729,0\r\n2006-02-03,16:31:00,3671.00,3674.00,3671.00,3672.00,1522,0\r\n2006-02-03,16:32:00,3672.00,3672.00,3669.00,3670.00,1859,0\r\n2006-02-03,16:33:00,3670.00,3672.00,3669.00,3671.00,1188,0\r\n2006-02-03,16:34:00,3672.00,3673.00,3671.00,3671.00,2007,0\r\n2006-02-03,16:35:00,3672.00,3672.00,3669.00,3670.00,1120,0\r\n2006-02-03,16:36:00,3670.00,3671.00,3668.00,3669.00,1547,0\r\n2006-02-03,16:37:00,3669.00,3669.00,3666.00,3667.00,2080,0\r\n2006-02-03,16:38:00,3668.00,3669.00,3666.00,3667.00,1945,0\r\n2006-02-03,16:39:00,3668.00,3670.00,3666.00,3670.00,1299,0\r\n2006-02-03,16:40:00,3670.00,3673.00,3670.00,3672.00,1831,0\r\n2006-02-03,16:41:00,3673.00,3675.00,3672.00,3675.00,1621,0\r\n2006-02-03,16:42:00,3674.00,3675.00,3672.00,3673.00,1067,0\r\n2006-02-03,16:43:00,3673.00,3673.00,3671.00,3672.00,961,0\r\n2006-02-03,16:44:00,3673.00,3673.00,3671.00,3671.00,1494,0\r\n2006-02-03,16:45:00,3671.00,3673.00,3671.00,3672.00,577,0\r\n2006-02-03,16:46:00,3672.00,3675.00,3672.00,3674.00,1131,0\r\n2006-02-03,16:47:00,3674.00,3676.00,3674.00,3676.00,1079,0\r\n2006-02-03,16:48:00,3676.00,3679.00,3676.00,3678.00,3436,0\r\n2006-02-03,16:49:00,3679.00,3679.00,3677.00,3678.00,1340,0\r\n2006-02-03,16:50:00,3679.00,3679.00,3677.00,3678.00,738,0\r\n2006-02-03,16:51:00,3678.00,3678.00,3676.00,3677.00,1152,0\r\n2006-02-03,16:52:00,3677.00,3681.00,3676.00,3681.00,4069,0\r\n2006-02-03,16:53:00,3680.00,3685.00,3680.00,3685.00,4747,0\r\n2006-02-03,16:54:00,3685.00,3687.00,3685.00,3685.00,2998,0\r\n2006-02-03,16:55:00,3685.00,3687.00,3685.00,3686.00,2118,0\r\n2006-02-03,16:56:00,3686.00,3686.00,3681.00,3682.00,2711,0\r\n2006-02-03,16:57:00,3682.00,3683.00,3682.00,3683.00,1625,0\r\n2006-02-03,16:58:00,3683.00,3685.00,3682.00,3685.00,1600,0\r\n2006-02-03,16:59:00,3685.00,3685.00,3682.00,3683.00,1727,0\r\n2006-02-03,17:00:00,3683.00,3685.00,3682.00,3685.00,660,0\r\n2006-02-03,17:01:00,3685.00,3690.00,3684.00,3689.00,4071,0\r\n2006-02-03,17:02:00,3689.00,3690.00,3687.00,3688.00,2171,0\r\n2006-02-03,17:03:00,3688.00,3688.00,3687.00,3687.00,1987,0\r\n2006-02-03,17:04:00,3688.00,3688.00,3685.00,3685.00,1178,0\r\n2006-02-03,17:05:00,3685.00,3685.00,3684.00,3684.00,1048,0\r\n2006-02-03,17:06:00,3684.00,3685.00,3683.00,3683.00,1418,0\r\n2006-02-03,17:07:00,3682.00,3683.00,3681.00,3681.00,1139,0\r\n2006-02-03,17:08:00,3681.00,3682.00,3681.00,3681.00,939,0\r\n2006-02-03,17:09:00,3681.00,3682.00,3680.00,3682.00,1042,0\r\n2006-02-03,17:10:00,3682.00,3684.00,3682.00,3682.00,2473,0\r\n2006-02-03,17:11:00,3682.00,3683.00,3682.00,3682.00,1157,0\r\n2006-02-03,17:12:00,3683.00,3684.00,3682.00,3684.00,2499,0\r\n2006-02-03,17:13:00,3684.00,3684.00,3681.00,3681.00,1302,0\r\n2006-02-03,17:14:00,3681.00,3681.00,3680.00,3680.00,1586,0\r\n2006-02-03,17:15:00,3680.00,3681.00,3679.00,3680.00,1021,0\r\n2006-02-03,17:16:00,3680.00,3680.00,3678.00,3679.00,1490,0\r\n2006-02-03,17:17:00,3678.00,3679.00,3678.00,3679.00,1106,0\r\n2006-02-03,17:18:00,3679.00,3680.00,3678.00,3680.00,603,0\r\n2006-02-03,17:19:00,3680.00,3681.00,3679.00,3679.00,867,0\r\n2006-02-03,17:20:00,3679.00,3679.00,3678.00,3679.00,1904,0\r\n2006-02-03,17:21:00,3679.00,3681.00,3679.00,3681.00,612,0\r\n2006-02-03,17:22:00,3681.00,3681.00,3680.00,3681.00,962,0\r\n2006-02-03,17:23:00,3681.00,3683.00,3680.00,3683.00,965,0\r\n2006-02-03,17:24:00,3683.00,3685.00,3682.00,3684.00,1444,0\r\n2006-02-03,17:25:00,3685.00,3688.00,3684.00,3687.00,2925,0\r\n2006-02-03,17:26:00,3687.00,3689.00,3686.00,3687.00,2368,0\r\n2006-02-03,17:27:00,3688.00,3688.00,3685.00,3685.00,1759,0\r\n2006-02-03,17:28:00,3686.00,3686.00,3684.00,3684.00,1479,0\r\n2006-02-03,17:29:00,3684.00,3685.00,3683.00,3685.00,1593,0\r\n2006-02-03,17:30:00,3685.00,3687.00,3684.00,3687.00,3293,0\r\n2006-02-03,17:31:00,3687.00,3688.00,3685.00,3688.00,3344,0\r\n2006-02-03,17:32:00,3688.00,3690.00,3688.00,3689.00,2088,0\r\n2006-02-03,17:33:00,3687.00,3689.00,3687.00,3688.00,2616,0\r\n2006-02-03,17:34:00,3688.00,3690.00,3688.00,3689.00,1624,0\r\n2006-02-03,17:35:00,3688.00,3689.00,3687.00,3689.00,693,0\r\n2006-02-03,17:36:00,3688.00,3694.00,3688.00,3694.00,2493,0\r\n2006-02-03,17:37:00,3693.00,3695.00,3693.00,3695.00,2343,0\r\n2006-02-03,17:38:00,3696.00,3697.00,3694.00,3696.00,1910,0\r\n2006-02-03,17:39:00,3695.00,3697.00,3694.00,3696.00,1071,0\r\n2006-02-03,17:40:00,3696.00,3697.00,3695.00,3696.00,891,0\r\n2006-02-03,17:41:00,3697.00,3699.00,3697.00,3698.00,1100,0\r\n2006-02-03,17:42:00,3697.00,3699.00,3697.00,3698.00,1904,0\r\n2006-02-03,17:43:00,3699.00,3699.00,3697.00,3697.00,957,0\r\n2006-02-03,17:44:00,3696.00,3697.00,3696.00,3696.00,220,0\r\n2006-02-03,17:45:00,3697.00,3697.00,3695.00,3696.00,1467,0\r\n2006-02-03,17:46:00,3695.00,3696.00,3695.00,3695.00,596,0\r\n2006-02-03,17:47:00,3694.00,3695.00,3694.00,3695.00,596,0\r\n2006-02-03,17:48:00,3695.00,3696.00,3693.00,3694.00,913,0\r\n2006-02-03,17:49:00,3694.00,3695.00,3693.00,3694.00,344,0\r\n2006-02-03,17:50:00,3694.00,3695.00,3694.00,3695.00,524,0\r\n2006-02-03,17:51:00,3695.00,3696.00,3695.00,3696.00,799,0\r\n2006-02-03,17:52:00,3696.00,3697.00,3696.00,3696.00,191,0\r\n2006-02-03,17:53:00,3696.00,3696.00,3695.00,3695.00,160,0\r\n2006-02-03,17:54:00,3696.00,3697.00,3696.00,3697.00,122,0\r\n2006-02-03,17:55:00,3696.00,3696.00,3695.00,3695.00,229,0\r\n2006-02-03,17:56:00,3696.00,3697.00,3696.00,3697.00,210,0\r\n2006-02-03,17:57:00,3697.00,3698.00,3696.00,3696.00,193,0\r\n2006-02-03,17:58:00,3696.00,3696.00,3694.00,3694.00,659,0\r\n2006-02-03,17:59:00,3694.00,3696.00,3694.00,3695.00,452,0\r\n2006-02-03,18:00:00,3695.00,3695.00,3693.00,3694.00,1719,0\r\n2006-02-03,18:01:00,3694.00,3695.00,3693.00,3694.00,372,0\r\n2006-02-03,18:02:00,3695.00,3695.00,3694.00,3694.00,126,0\r\n2006-02-03,18:03:00,3695.00,3695.00,3694.00,3695.00,618,0\r\n2006-02-03,18:04:00,3695.00,3695.00,3694.00,3694.00,750,0\r\n2006-02-03,18:05:00,3695.00,3695.00,3694.00,3695.00,128,0\r\n2006-02-03,18:06:00,3695.00,3695.00,3694.00,3694.00,272,0\r\n2006-02-03,18:07:00,3694.00,3694.00,3693.00,3693.00,416,0\r\n2006-02-03,18:08:00,3693.00,3693.00,3692.00,3693.00,515,0\r\n2006-02-03,18:09:00,3693.00,3694.00,3693.00,3693.00,165,0\r\n2006-02-03,18:10:00,3693.00,3693.00,3693.00,3693.00,164,0\r\n2006-02-03,18:11:00,3692.00,3692.00,3690.00,3691.00,360,0\r\n2006-02-03,18:12:00,3690.00,3692.00,3690.00,3691.00,98,0\r\n2006-02-03,18:13:00,3691.00,3692.00,3691.00,3691.00,101,0\r\n2006-02-03,18:14:00,3692.00,3692.00,3692.00,3692.00,293,0\r\n2006-02-03,18:15:00,3692.00,3693.00,3692.00,3693.00,48,0\r\n2006-02-03,18:16:00,3692.00,3693.00,3692.00,3693.00,24,0\r\n2006-02-03,18:17:00,3692.00,3694.00,3692.00,3694.00,282,0\r\n2006-02-03,18:18:00,3694.00,3694.00,3693.00,3693.00,405,0\r\n2006-02-03,18:19:00,3692.00,3693.00,3692.00,3693.00,40,0\r\n2006-02-03,18:20:00,3693.00,3693.00,3692.00,3693.00,137,0\r\n2006-02-03,18:21:00,3693.00,3694.00,3693.00,3694.00,388,0\r\n2006-02-03,18:22:00,3694.00,3694.00,3693.00,3694.00,191,0\r\n2006-02-03,18:23:00,3694.00,3694.00,3694.00,3694.00,203,0\r\n2006-02-03,18:24:00,3693.00,3694.00,3692.00,3693.00,125,0\r\n2006-02-03,18:25:00,3693.00,3694.00,3693.00,3693.00,240,0\r\n2006-02-03,18:26:00,3693.00,3693.00,3691.00,3691.00,295,0\r\n2006-02-03,18:27:00,3691.00,3692.00,3691.00,3691.00,56,0\r\n2006-02-03,18:28:00,3691.00,3691.00,3690.00,3691.00,135,0\r\n2006-02-03,18:29:00,3691.00,3691.00,3690.00,3690.00,269,0\r\n2006-02-03,18:30:00,3690.00,3691.00,3690.00,3691.00,67,0\r\n2006-02-03,18:31:00,3691.00,3691.00,3689.00,3689.00,356,0\r\n2006-02-03,18:32:00,3690.00,3690.00,3686.00,3687.00,1812,0\r\n2006-02-03,18:33:00,3687.00,3688.00,3687.00,3687.00,474,0\r\n2006-02-03,18:34:00,3687.00,3687.00,3687.00,3687.00,507,0\r\n2006-02-03,18:35:00,3687.00,3687.00,3686.00,3687.00,324,0\r\n2006-02-03,18:36:00,3687.00,3688.00,3687.00,3688.00,94,0\r\n2006-02-03,18:37:00,3688.00,3689.00,3688.00,3689.00,193,0\r\n2006-02-03,18:38:00,3689.00,3690.00,3689.00,3689.00,226,0\r\n2006-02-03,18:39:00,3689.00,3690.00,3688.00,3689.00,104,0\r\n2006-02-03,18:40:00,3690.00,3690.00,3689.00,3690.00,234,0\r\n2006-02-03,18:41:00,3690.00,3690.00,3689.00,3689.00,284,0\r\n2006-02-03,18:42:00,3689.00,3689.00,3688.00,3688.00,130,0\r\n2006-02-03,18:43:00,3688.00,3688.00,3688.00,3688.00,2,0\r\n2006-02-03,18:44:00,3689.00,3689.00,3687.00,3688.00,426,0\r\n2006-02-03,18:45:00,3688.00,3688.00,3688.00,3688.00,51,0\r\n2006-02-03,18:46:00,3689.00,3689.00,3689.00,3689.00,38,0\r\n2006-02-03,18:47:00,3689.00,3691.00,3688.00,3691.00,403,0\r\n2006-02-03,18:48:00,3691.00,3693.00,3691.00,3692.00,560,0\r\n2006-02-03,18:49:00,3692.00,3694.00,3692.00,3693.00,119,0\r\n2006-02-03,18:50:00,3693.00,3693.00,3693.00,3693.00,53,0\r\n2006-02-03,18:51:00,3693.00,3693.00,3693.00,3693.00,86,0\r\n2006-02-03,18:52:00,3694.00,3694.00,3693.00,3693.00,71,0\r\n2006-02-03,18:53:00,3693.00,3695.00,3693.00,3694.00,319,0\r\n2006-02-03,18:55:00,3694.00,3694.00,3692.00,3693.00,221,0\r\n2006-02-03,18:56:00,3693.00,3693.00,3693.00,3693.00,56,0\r\n2006-02-03,18:57:00,3694.00,3694.00,3694.00,3694.00,134,0\r\n2006-02-03,18:58:00,3695.00,3695.00,3694.00,3694.00,199,0\r\n2006-02-03,18:59:00,3694.00,3694.00,3694.00,3694.00,19,0\r\n2006-02-03,19:00:00,3695.00,3695.00,3694.00,3695.00,145,0\r\n2006-02-03,19:01:00,3695.00,3696.00,3695.00,3695.00,254,0\r\n2006-02-03,19:02:00,3695.00,3697.00,3695.00,3696.00,263,0\r\n2006-02-03,19:03:00,3696.00,3696.00,3695.00,3696.00,51,0\r\n2006-02-03,19:04:00,3696.00,3696.00,3695.00,3695.00,64,0\r\n2006-02-03,19:05:00,3696.00,3696.00,3696.00,3696.00,1,0\r\n2006-02-03,19:06:00,3696.00,3696.00,3696.00,3696.00,45,0\r\n2006-02-03,19:07:00,3697.00,3698.00,3696.00,3696.00,765,0\r\n2006-02-03,19:08:00,3697.00,3697.00,3696.00,3696.00,123,0\r\n2006-02-03,19:09:00,3696.00,3697.00,3696.00,3697.00,127,0\r\n2006-02-03,19:10:00,3697.00,3697.00,3697.00,3697.00,25,0\r\n2006-02-03,19:11:00,3697.00,3697.00,3696.00,3697.00,35,0\r\n2006-02-03,19:12:00,3696.00,3696.00,3696.00,3696.00,265,0\r\n2006-02-03,19:13:00,3697.00,3697.00,3697.00,3697.00,334,0\r\n2006-02-03,19:14:00,3697.00,3697.00,3696.00,3696.00,83,0\r\n2006-02-03,19:15:00,3697.00,3697.00,3697.00,3697.00,59,0\r\n2006-02-03,19:16:00,3697.00,3700.00,3697.00,3699.00,751,0\r\n2006-02-03,19:17:00,3700.00,3703.00,3700.00,3701.00,1447,0\r\n2006-02-03,19:18:00,3701.00,3703.00,3701.00,3702.00,355,0\r\n2006-02-03,19:19:00,3702.00,3703.00,3702.00,3702.00,316,0\r\n2006-02-03,19:20:00,3702.00,3703.00,3702.00,3702.00,203,0\r\n2006-02-03,19:21:00,3703.00,3705.00,3703.00,3704.00,709,0\r\n2006-02-03,19:22:00,3705.00,3710.00,3705.00,3708.00,3055,0\r\n2006-02-03,19:23:00,3708.00,3710.00,3708.00,3709.00,295,0\r\n2006-02-03,19:24:00,3709.00,3709.00,3709.00,3709.00,97,0\r\n2006-02-03,19:25:00,3708.00,3709.00,3708.00,3709.00,333,0\r\n2006-02-03,19:26:00,3709.00,3711.00,3708.00,3710.00,1518,0\r\n2006-02-03,19:27:00,3710.00,3710.00,3707.00,3708.00,1251,0\r\n2006-02-03,19:28:00,3707.00,3710.00,3707.00,3709.00,354,0\r\n2006-02-03,19:29:00,3709.00,3709.00,3707.00,3708.00,198,0\r\n2006-02-03,19:30:00,3707.00,3707.00,3705.00,3706.00,458,0\r\n2006-02-03,19:31:00,3707.00,3707.00,3706.00,3707.00,40,0\r\n2006-02-03,19:32:00,3707.00,3707.00,3706.00,3706.00,279,0\r\n2006-02-03,19:33:00,3706.00,3706.00,3706.00,3706.00,45,0\r\n2006-02-03,19:34:00,3706.00,3706.00,3706.00,3706.00,103,0\r\n2006-02-03,19:35:00,3706.00,3706.00,3705.00,3705.00,7,0\r\n2006-02-03,19:36:00,3706.00,3706.00,3706.00,3706.00,1,0\r\n2006-02-03,19:37:00,3706.00,3708.00,3706.00,3707.00,210,0\r\n2006-02-03,19:38:00,3707.00,3708.00,3707.00,3708.00,7,0\r\n2006-02-03,19:39:00,3708.00,3709.00,3708.00,3709.00,58,0\r\n2006-02-03,19:40:00,3708.00,3709.00,3708.00,3709.00,279,0\r\n2006-02-03,19:41:00,3709.00,3709.00,3709.00,3709.00,8,0\r\n2006-02-03,19:42:00,3709.00,3709.00,3705.00,3705.00,387,0\r\n2006-02-03,19:43:00,3705.00,3706.00,3704.00,3704.00,269,0\r\n2006-02-03,19:44:00,3704.00,3704.00,3704.00,3704.00,10,0\r\n2006-02-03,19:45:00,3704.00,3704.00,3703.00,3704.00,22,0\r\n2006-02-03,19:46:00,3703.00,3703.00,3701.00,3701.00,124,0\r\n2006-02-03,19:47:00,3702.00,3702.00,3701.00,3702.00,126,0\r\n2006-02-03,19:48:00,3702.00,3704.00,3702.00,3704.00,107,0\r\n2006-02-03,19:49:00,3703.00,3703.00,3703.00,3703.00,9,0\r\n2006-02-03,19:50:00,3703.00,3704.00,3703.00,3704.00,71,0\r\n2006-02-03,19:51:00,3703.00,3703.00,3701.00,3702.00,183,0\r\n2006-02-03,19:52:00,3702.00,3703.00,3702.00,3703.00,33,0\r\n2006-02-03,19:53:00,3703.00,3704.00,3703.00,3704.00,11,0\r\n2006-02-03,19:54:00,3704.00,3704.00,3704.00,3704.00,215,0\r\n2006-02-03,19:55:00,3704.00,3704.00,3703.00,3704.00,25,0\r\n2006-02-03,19:56:00,3703.00,3703.00,3702.00,3702.00,228,0\r\n2006-02-03,19:57:00,3702.00,3703.00,3702.00,3703.00,50,0\r\n2006-02-03,19:58:00,3702.00,3704.00,3702.00,3703.00,381,0\r\n2006-02-03,19:59:00,3703.00,3704.00,3703.00,3704.00,126,0\r\n2006-02-03,20:00:00,3704.00,3704.00,3702.00,3702.00,275,0\r\n2006-02-03,20:01:00,3702.00,3703.00,3702.00,3702.00,111,0\r\n2006-02-03,20:02:00,3702.00,3702.00,3702.00,3702.00,26,0\r\n2006-02-03,20:03:00,3702.00,3702.00,3702.00,3702.00,34,0\r\n2006-02-03,20:04:00,3702.00,3703.00,3702.00,3703.00,48,0\r\n2006-02-03,20:05:00,3703.00,3703.00,3703.00,3703.00,5,0\r\n2006-02-03,20:06:00,3703.00,3703.00,3702.00,3702.00,16,0\r\n2006-02-03,20:07:00,3703.00,3703.00,3703.00,3703.00,11,0\r\n2006-02-03,20:08:00,3702.00,3702.00,3702.00,3702.00,5,0\r\n2006-02-03,20:09:00,3703.00,3704.00,3703.00,3703.00,173,0\r\n2006-02-03,20:10:00,3702.00,3702.00,3701.00,3702.00,551,0\r\n2006-02-03,20:11:00,3702.00,3702.00,3700.00,3700.00,109,0\r\n2006-02-03,20:12:00,3700.00,3701.00,3698.00,3699.00,1409,0\r\n2006-02-03,20:13:00,3699.00,3700.00,3699.00,3699.00,271,0\r\n2006-02-03,20:14:00,3699.00,3699.00,3696.00,3696.00,156,0\r\n2006-02-03,20:15:00,3697.00,3698.00,3697.00,3698.00,11,0\r\n2006-02-03,20:16:00,3697.00,3697.00,3697.00,3697.00,12,0\r\n2006-02-03,20:17:00,3697.00,3697.00,3694.00,3694.00,345,0\r\n2006-02-03,20:18:00,3693.00,3694.00,3692.00,3693.00,181,0\r\n2006-02-03,20:19:00,3692.00,3694.00,3692.00,3694.00,67,0\r\n2006-02-03,20:20:00,3694.00,3694.00,3694.00,3694.00,246,0\r\n2006-02-03,20:21:00,3693.00,3693.00,3693.00,3693.00,10,0\r\n2006-02-03,20:22:00,3693.00,3695.00,3693.00,3695.00,25,0\r\n2006-02-03,20:23:00,3695.00,3695.00,3695.00,3695.00,33,0\r\n2006-02-03,20:24:00,3695.00,3695.00,3694.00,3694.00,77,0\r\n2006-02-03,20:25:00,3694.00,3694.00,3693.00,3693.00,3,0\r\n2006-02-03,20:26:00,3694.00,3695.00,3694.00,3694.00,310,0\r\n2006-02-03,20:27:00,3695.00,3695.00,3694.00,3694.00,60,0\r\n2006-02-03,20:28:00,3694.00,3694.00,3694.00,3694.00,17,0\r\n2006-02-03,20:29:00,3695.00,3695.00,3694.00,3695.00,38,0\r\n2006-02-03,20:30:00,3694.00,3694.00,3694.00,3694.00,7,0\r\n2006-02-03,20:31:00,3694.00,3694.00,3692.00,3692.00,80,0\r\n2006-02-03,20:32:00,3693.00,3693.00,3693.00,3693.00,1,0\r\n2006-02-03,20:33:00,3693.00,3695.00,3693.00,3695.00,123,0\r\n2006-02-03,20:34:00,3696.00,3696.00,3696.00,3696.00,82,0\r\n2006-02-03,20:35:00,3697.00,3697.00,3697.00,3697.00,42,0\r\n2006-02-03,20:36:00,3697.00,3697.00,3697.00,3697.00,2,0\r\n2006-02-03,20:37:00,3697.00,3697.00,3696.00,3697.00,143,0\r\n2006-02-03,20:39:00,3697.00,3697.00,3697.00,3697.00,128,0\r\n2006-02-03,20:40:00,3697.00,3697.00,3697.00,3697.00,2,0\r\n2006-02-03,20:41:00,3697.00,3697.00,3697.00,3697.00,3,0\r\n2006-02-03,20:42:00,3698.00,3698.00,3698.00,3698.00,44,0\r\n2006-02-03,20:43:00,3696.00,3696.00,3695.00,3695.00,6,0\r\n2006-02-03,20:44:00,3696.00,3696.00,3696.00,3696.00,4,0\r\n2006-02-03,20:45:00,3695.00,3696.00,3695.00,3696.00,36,0\r\n2006-02-03,20:46:00,3696.00,3696.00,3696.00,3696.00,1,0\r\n2006-02-03,20:47:00,3695.00,3695.00,3695.00,3695.00,1,0\r\n2006-02-03,20:48:00,3696.00,3697.00,3696.00,3696.00,11,0\r\n2006-02-03,20:49:00,3698.00,3698.00,3698.00,3698.00,55,0\r\n2006-02-03,20:50:00,3697.00,3697.00,3697.00,3697.00,2,0\r\n2006-02-03,20:51:00,3697.00,3697.00,3695.00,3695.00,18,0\r\n2006-02-03,20:52:00,3695.00,3695.00,3695.00,3695.00,1,0\r\n2006-02-03,20:53:00,3695.00,3695.00,3695.00,3695.00,1,0\r\n2006-02-03,20:54:00,3696.00,3696.00,3696.00,3696.00,7,0\r\n2006-02-03,20:55:00,3696.00,3697.00,3696.00,3697.00,5,0\r\n2006-02-03,20:57:00,3696.00,3696.00,3696.00,3696.00,2,0\r\n2006-02-03,20:58:00,3696.00,3697.00,3696.00,3697.00,13,0\r\n2006-02-03,21:00:00,3696.00,3696.00,3695.00,3695.00,14,0\r\n2006-02-03,21:01:00,3696.00,3697.00,3696.00,3697.00,7,0\r\n2006-02-03,21:02:00,3698.00,3699.00,3697.00,3698.00,96,0\r\n2006-02-03,21:03:00,3698.00,3698.00,3697.00,3697.00,24,0\r\n2006-02-03,21:04:00,3698.00,3698.00,3698.00,3698.00,1,0\r\n2006-02-03,21:05:00,3698.00,3698.00,3695.00,3696.00,63,0\r\n2006-02-03,21:06:00,3696.00,3696.00,3695.00,3695.00,7,0\r\n2006-02-03,21:07:00,3698.00,3698.00,3698.00,3698.00,5,0\r\n2006-02-03,21:08:00,3698.00,3698.00,3697.00,3697.00,2,0\r\n2006-02-03,21:09:00,3697.00,3700.00,3696.00,3700.00,111,0\r\n2006-02-03,21:10:00,3700.00,3700.00,3700.00,3700.00,15,0\r\n2006-02-03,21:11:00,3698.00,3698.00,3698.00,3698.00,1,0\r\n2006-02-03,21:12:00,3698.00,3698.00,3697.00,3697.00,13,0\r\n2006-02-03,21:13:00,3697.00,3698.00,3697.00,3698.00,42,0\r\n2006-02-03,21:14:00,3698.00,3698.00,3698.00,3698.00,3,0\r\n2006-02-03,21:15:00,3698.00,3698.00,3697.00,3697.00,6,0\r\n2006-02-03,21:18:00,3695.00,3696.00,3695.00,3696.00,14,0\r\n2006-02-03,21:19:00,3696.00,3696.00,3696.00,3696.00,17,0\r\n2006-02-03,21:20:00,3697.00,3697.00,3697.00,3697.00,2,0\r\n2006-02-03,21:21:00,3697.00,3697.00,3696.00,3696.00,14,0\r\n2006-02-03,21:22:00,3696.00,3696.00,3696.00,3696.00,1,0\r\n2006-02-03,21:23:00,3694.00,3694.00,3694.00,3694.00,61,0\r\n2006-02-03,21:25:00,3694.00,3694.00,3694.00,3694.00,1,0\r\n2006-02-03,21:26:00,3694.00,3694.00,3694.00,3694.00,6,0\r\n2006-02-03,21:28:00,3694.00,3694.00,3694.00,3694.00,4,0\r\n2006-02-03,21:29:00,3695.00,3695.00,3695.00,3695.00,6,0\r\n2006-02-03,21:30:00,3694.00,3694.00,3694.00,3694.00,17,0\r\n2006-02-03,21:31:00,3692.00,3692.00,3690.00,3691.00,46,0\r\n2006-02-03,21:32:00,3690.00,3690.00,3690.00,3690.00,5,0\r\n2006-02-03,21:33:00,3691.00,3691.00,3690.00,3690.00,159,0\r\n2006-02-03,21:34:00,3690.00,3690.00,3688.00,3690.00,8,0\r\n2006-02-03,21:35:00,3688.00,3688.00,3686.00,3687.00,181,0\r\n2006-02-03,21:36:00,3688.00,3688.00,3688.00,3688.00,101,0\r\n2006-02-03,21:37:00,3688.00,3690.00,3687.00,3689.00,26,0\r\n2006-02-03,21:38:00,3690.00,3690.00,3689.00,3689.00,6,0\r\n2006-02-03,21:39:00,3688.00,3689.00,3688.00,3689.00,26,0\r\n2006-02-03,21:40:00,3688.00,3688.00,3688.00,3688.00,1,0\r\n2006-02-03,21:42:00,3689.00,3689.00,3688.00,3688.00,3,0\r\n2006-02-03,21:43:00,3688.00,3689.00,3688.00,3689.00,5,0\r\n2006-02-03,21:44:00,3688.00,3688.00,3688.00,3688.00,8,0\r\n2006-02-03,21:45:00,3688.00,3688.00,3688.00,3688.00,5,0\r\n2006-02-03,21:46:00,3688.00,3688.00,3688.00,3688.00,1,0\r\n2006-02-03,21:48:00,3688.00,3689.00,3688.00,3688.00,12,0\r\n2006-02-03,21:49:00,3688.00,3689.00,3688.00,3689.00,21,0\r\n2006-02-03,21:50:00,3690.00,3691.00,3690.00,3691.00,11,0\r\n2006-02-03,21:51:00,3690.00,3690.00,3690.00,3690.00,10,0\r\n2006-02-03,21:52:00,3691.00,3691.00,3690.00,3690.00,59,0\r\n2006-02-03,21:53:00,3689.00,3690.00,3689.00,3689.00,157,0\r\n2006-02-03,21:54:00,3689.00,3690.00,3688.00,3689.00,72,0\r\n2006-02-03,21:55:00,3688.00,3689.00,3688.00,3688.00,79,0\r\n2006-02-03,21:56:00,3689.00,3690.00,3688.00,3690.00,176,0\r\n2006-02-03,21:57:00,3691.00,3692.00,3691.00,3692.00,110,0\r\n2006-02-03,21:58:00,3693.00,3693.00,3692.00,3692.00,71,0\r\n2006-02-03,21:59:00,3692.00,3692.00,3691.00,3692.00,130,0\r\n2006-02-03,22:00:00,3693.00,3694.00,3690.00,3690.00,559,0\r\n2006-02-06,09:01:00,3703.00,3704.00,3700.00,3702.00,3969,0\r\n2006-02-06,09:02:00,3704.00,3708.00,3704.00,3707.00,3676,0\r\n2006-02-06,09:03:00,3707.00,3708.00,3706.00,3707.00,458,0\r\n2006-02-06,09:04:00,3706.00,3706.00,3705.00,3706.00,164,0\r\n2006-02-06,09:05:00,3707.00,3707.00,3707.00,3707.00,298,0\r\n2006-02-06,09:06:00,3703.00,3705.00,3702.00,3704.00,3510,0\r\n2006-02-06,09:07:00,3705.00,3706.00,3703.00,3703.00,1781,0\r\n2006-02-06,09:08:00,3703.00,3704.00,3701.00,3702.00,2201,0\r\n2006-02-06,09:09:00,3701.00,3702.00,3698.00,3700.00,2005,0\r\n2006-02-06,09:10:00,3700.00,3700.00,3697.00,3698.00,2000,0\r\n2006-02-06,09:11:00,3698.00,3699.00,3696.00,3696.00,1090,0\r\n2006-02-06,09:12:00,3696.00,3698.00,3696.00,3696.00,992,0\r\n2006-02-06,09:13:00,3696.00,3698.00,3696.00,3698.00,968,0\r\n2006-02-06,09:14:00,3698.00,3699.00,3698.00,3698.00,1111,0\r\n2006-02-06,09:15:00,3697.00,3700.00,3697.00,3700.00,383,0\r\n2006-02-06,09:16:00,3699.00,3701.00,3699.00,3701.00,696,0\r\n2006-02-06,09:17:00,3700.00,3702.00,3700.00,3700.00,608,0\r\n2006-02-06,09:18:00,3700.00,3701.00,3699.00,3701.00,482,0\r\n2006-02-06,09:19:00,3701.00,3703.00,3701.00,3703.00,1622,0\r\n2006-02-06,09:20:00,3703.00,3703.00,3701.00,3702.00,1613,0\r\n2006-02-06,09:21:00,3702.00,3704.00,3702.00,3703.00,969,0\r\n2006-02-06,09:22:00,3704.00,3705.00,3704.00,3704.00,750,0\r\n2006-02-06,09:23:00,3704.00,3706.00,3704.00,3705.00,1681,0\r\n2006-02-06,09:24:00,3705.00,3705.00,3703.00,3704.00,1130,0\r\n2006-02-06,09:25:00,3704.00,3704.00,3703.00,3704.00,669,0\r\n2006-02-06,09:26:00,3703.00,3705.00,3703.00,3704.00,723,0\r\n2006-02-06,09:27:00,3705.00,3706.00,3703.00,3706.00,1237,0\r\n2006-02-06,09:28:00,3706.00,3707.00,3706.00,3706.00,279,0\r\n2006-02-06,09:29:00,3707.00,3708.00,3706.00,3707.00,2250,0\r\n2006-02-06,09:30:00,3707.00,3708.00,3706.00,3708.00,1037,0\r\n2006-02-06,09:31:00,3707.00,3708.00,3707.00,3707.00,403,0\r\n2006-02-06,09:32:00,3708.00,3709.00,3707.00,3708.00,2521,0\r\n2006-02-06,09:33:00,3709.00,3709.00,3707.00,3707.00,1269,0\r\n2006-02-06,09:34:00,3707.00,3707.00,3705.00,3706.00,1097,0\r\n2006-02-06,09:35:00,3706.00,3706.00,3704.00,3704.00,787,0\r\n2006-02-06,09:36:00,3705.00,3706.00,3704.00,3705.00,489,0\r\n2006-02-06,09:37:00,3705.00,3705.00,3704.00,3704.00,840,0\r\n2006-02-06,09:38:00,3704.00,3706.00,3704.00,3706.00,707,0\r\n2006-02-06,09:39:00,3706.00,3706.00,3705.00,3705.00,946,0\r\n2006-02-06,09:40:00,3704.00,3706.00,3704.00,3705.00,149,0\r\n2006-02-06,09:41:00,3705.00,3706.00,3705.00,3706.00,163,0\r\n2006-02-06,09:42:00,3706.00,3706.00,3704.00,3704.00,713,0\r\n2006-02-06,09:43:00,3704.00,3704.00,3703.00,3703.00,771,0\r\n2006-02-06,09:44:00,3703.00,3703.00,3701.00,3701.00,968,0\r\n2006-02-06,09:45:00,3702.00,3703.00,3702.00,3703.00,121,0\r\n2006-02-06,09:46:00,3702.00,3704.00,3702.00,3704.00,209,0\r\n2006-02-06,09:47:00,3704.00,3704.00,3703.00,3703.00,1247,0\r\n2006-02-06,09:48:00,3704.00,3705.00,3703.00,3705.00,513,0\r\n2006-02-06,09:49:00,3705.00,3705.00,3703.00,3703.00,556,0\r\n2006-02-06,09:50:00,3704.00,3704.00,3703.00,3704.00,144,0\r\n2006-02-06,09:51:00,3704.00,3704.00,3702.00,3702.00,414,0\r\n2006-02-06,09:52:00,3702.00,3704.00,3702.00,3703.00,632,0\r\n2006-02-06,09:53:00,3703.00,3703.00,3702.00,3702.00,1066,0\r\n2006-02-06,09:54:00,3702.00,3703.00,3702.00,3702.00,403,0\r\n2006-02-06,09:55:00,3701.00,3704.00,3701.00,3704.00,1090,0\r\n2006-02-06,09:56:00,3704.00,3704.00,3703.00,3703.00,781,0\r\n2006-02-06,09:57:00,3704.00,3707.00,3704.00,3707.00,1150,0\r\n2006-02-06,09:58:00,3706.00,3706.00,3704.00,3704.00,1059,0\r\n2006-02-06,09:59:00,3704.00,3704.00,3704.00,3704.00,214,0\r\n2006-02-06,10:00:00,3704.00,3704.00,3703.00,3704.00,355,0\r\n2006-02-06,10:01:00,3704.00,3705.00,3703.00,3704.00,864,0\r\n2006-02-06,10:02:00,3705.00,3706.00,3705.00,3706.00,522,0\r\n2006-02-06,10:03:00,3706.00,3706.00,3705.00,3706.00,170,0\r\n2006-02-06,10:04:00,3705.00,3706.00,3703.00,3704.00,965,0\r\n2006-02-06,10:05:00,3704.00,3705.00,3703.00,3705.00,405,0\r\n2006-02-06,10:06:00,3705.00,3706.00,3705.00,3706.00,429,0\r\n2006-02-06,10:07:00,3706.00,3708.00,3706.00,3707.00,1245,0\r\n2006-02-06,10:08:00,3707.00,3707.00,3706.00,3706.00,291,0\r\n2006-02-06,10:09:00,3706.00,3706.00,3706.00,3706.00,1,0\r\n2006-02-06,10:10:00,3706.00,3706.00,3703.00,3704.00,851,0\r\n2006-02-06,10:11:00,3704.00,3705.00,3704.00,3705.00,123,0\r\n2006-02-06,10:12:00,3705.00,3706.00,3704.00,3705.00,456,0\r\n2006-02-06,10:13:00,3705.00,3706.00,3705.00,3705.00,207,0\r\n2006-02-06,10:14:00,3705.00,3706.00,3705.00,3706.00,1227,0\r\n2006-02-06,10:15:00,3707.00,3707.00,3706.00,3707.00,193,0\r\n2006-02-06,10:16:00,3707.00,3707.00,3705.00,3705.00,489,0\r\n2006-02-06,10:17:00,3704.00,3705.00,3704.00,3704.00,340,0\r\n2006-02-06,10:18:00,3705.00,3707.00,3705.00,3706.00,577,0\r\n2006-02-06,10:19:00,3707.00,3709.00,3707.00,3708.00,1505,0\r\n2006-02-06,10:20:00,3708.00,3709.00,3708.00,3708.00,402,0\r\n2006-02-06,10:21:00,3708.00,3708.00,3707.00,3708.00,490,0\r\n2006-02-06,10:22:00,3708.00,3709.00,3708.00,3708.00,122,0\r\n2006-02-06,10:23:00,3708.00,3709.00,3707.00,3709.00,2540,0\r\n2006-02-06,10:24:00,3709.00,3709.00,3708.00,3709.00,718,0\r\n2006-02-06,10:25:00,3708.00,3711.00,3708.00,3710.00,3679,0\r\n2006-02-06,10:26:00,3711.00,3711.00,3710.00,3711.00,1258,0\r\n2006-02-06,10:27:00,3710.00,3711.00,3710.00,3710.00,1153,0\r\n2006-02-06,10:28:00,3710.00,3712.00,3710.00,3711.00,1426,0\r\n2006-02-06,10:29:00,3711.00,3712.00,3710.00,3711.00,599,0\r\n2006-02-06,10:30:00,3711.00,3711.00,3710.00,3710.00,355,0\r\n2006-02-06,10:31:00,3710.00,3710.00,3709.00,3710.00,274,0\r\n2006-02-06,10:32:00,3711.00,3713.00,3711.00,3713.00,1461,0\r\n2006-02-06,10:33:00,3712.00,3713.00,3711.00,3711.00,675,0\r\n2006-02-06,10:34:00,3712.00,3712.00,3711.00,3712.00,254,0\r\n2006-02-06,10:35:00,3711.00,3712.00,3711.00,3712.00,1318,0\r\n2006-02-06,10:36:00,3712.00,3713.00,3711.00,3712.00,347,0\r\n2006-02-06,10:37:00,3712.00,3712.00,3711.00,3711.00,3,0\r\n2006-02-06,10:38:00,3712.00,3713.00,3712.00,3712.00,1023,0\r\n2006-02-06,10:39:00,3712.00,3713.00,3712.00,3713.00,1593,0\r\n2006-02-06,10:40:00,3713.00,3714.00,3713.00,3714.00,1248,0\r\n2006-02-06,10:41:00,3713.00,3714.00,3711.00,3711.00,1510,0\r\n2006-02-06,10:42:00,3711.00,3712.00,3711.00,3712.00,495,0\r\n2006-02-06,10:43:00,3711.00,3712.00,3711.00,3712.00,79,0\r\n2006-02-06,10:44:00,3712.00,3712.00,3711.00,3712.00,502,0\r\n2006-02-06,10:45:00,3712.00,3713.00,3712.00,3712.00,36,0\r\n2006-02-06,10:46:00,3712.00,3712.00,3711.00,3711.00,484,0\r\n2006-02-06,10:47:00,3711.00,3712.00,3710.00,3711.00,617,0\r\n2006-02-06,10:48:00,3711.00,3712.00,3711.00,3712.00,270,0\r\n2006-02-06,10:49:00,3711.00,3712.00,3711.00,3712.00,81,0\r\n2006-02-06,10:50:00,3712.00,3712.00,3711.00,3712.00,204,0\r\n2006-02-06,10:51:00,3712.00,3712.00,3712.00,3712.00,190,0\r\n2006-02-06,10:52:00,3711.00,3711.00,3710.00,3711.00,404,0\r\n2006-02-06,10:53:00,3712.00,3712.00,3711.00,3711.00,271,0\r\n2006-02-06,10:54:00,3710.00,3711.00,3709.00,3711.00,946,0\r\n2006-02-06,10:55:00,3711.00,3711.00,3710.00,3710.00,10,0\r\n2006-02-06,10:56:00,3711.00,3711.00,3710.00,3710.00,1090,0\r\n2006-02-06,10:57:00,3711.00,3711.00,3710.00,3711.00,685,0\r\n2006-02-06,10:58:00,3711.00,3711.00,3711.00,3711.00,53,0\r\n2006-02-06,10:59:00,3711.00,3712.00,3710.00,3710.00,330,0\r\n2006-02-06,11:00:00,3711.00,3711.00,3711.00,3711.00,8,0\r\n2006-02-06,11:01:00,3711.00,3711.00,3711.00,3711.00,175,0\r\n2006-02-06,11:02:00,3711.00,3711.00,3710.00,3710.00,374,0\r\n2006-02-06,11:03:00,3710.00,3711.00,3709.00,3710.00,584,0\r\n2006-02-06,11:04:00,3710.00,3710.00,3710.00,3710.00,118,0\r\n2006-02-06,11:05:00,3710.00,3710.00,3709.00,3709.00,81,0\r\n2006-02-06,11:06:00,3709.00,3709.00,3706.00,3707.00,1351,0\r\n2006-02-06,11:07:00,3707.00,3707.00,3706.00,3706.00,629,0\r\n2006-02-06,11:08:00,3707.00,3708.00,3707.00,3708.00,411,0\r\n2006-02-06,11:09:00,3708.00,3708.00,3707.00,3707.00,476,0\r\n2006-02-06,11:10:00,3707.00,3708.00,3707.00,3708.00,41,0\r\n2006-02-06,11:11:00,3708.00,3708.00,3708.00,3708.00,2,0\r\n2006-02-06,11:12:00,3708.00,3708.00,3707.00,3707.00,178,0\r\n2006-02-06,11:13:00,3708.00,3708.00,3708.00,3708.00,315,0\r\n2006-02-06,11:14:00,3708.00,3708.00,3708.00,3708.00,757,0\r\n2006-02-06,11:15:00,3709.00,3709.00,3709.00,3709.00,264,0\r\n2006-02-06,11:16:00,3708.00,3708.00,3708.00,3708.00,10,0\r\n2006-02-06,11:17:00,3708.00,3710.00,3708.00,3710.00,407,0\r\n2006-02-06,11:18:00,3710.00,3711.00,3710.00,3711.00,1026,0\r\n2006-02-06,11:19:00,3711.00,3711.00,3710.00,3710.00,467,0\r\n2006-02-06,11:20:00,3711.00,3711.00,3710.00,3710.00,48,0\r\n2006-02-06,11:21:00,3710.00,3711.00,3709.00,3711.00,477,0\r\n2006-02-06,11:22:00,3711.00,3712.00,3711.00,3711.00,204,0\r\n2006-02-06,11:23:00,3711.00,3712.00,3711.00,3711.00,7,0\r\n2006-02-06,11:24:00,3712.00,3713.00,3712.00,3712.00,230,0\r\n2006-02-06,11:25:00,3712.00,3712.00,3711.00,3711.00,75,0\r\n2006-02-06,11:26:00,3712.00,3712.00,3711.00,3712.00,9,0\r\n2006-02-06,11:27:00,3711.00,3711.00,3710.00,3711.00,347,0\r\n2006-02-06,11:28:00,3712.00,3712.00,3711.00,3711.00,128,0\r\n2006-02-06,11:29:00,3712.00,3712.00,3711.00,3711.00,330,0\r\n2006-02-06,11:30:00,3711.00,3712.00,3711.00,3712.00,173,0\r\n2006-02-06,11:31:00,3712.00,3712.00,3711.00,3712.00,688,0\r\n2006-02-06,11:32:00,3712.00,3712.00,3710.00,3710.00,209,0\r\n2006-02-06,11:33:00,3711.00,3711.00,3710.00,3710.00,36,0\r\n2006-02-06,11:34:00,3710.00,3711.00,3710.00,3711.00,355,0\r\n2006-02-06,11:35:00,3710.00,3710.00,3710.00,3710.00,5,0\r\n2006-02-06,11:36:00,3710.00,3710.00,3709.00,3710.00,284,0\r\n2006-02-06,11:37:00,3710.00,3710.00,3709.00,3709.00,79,0\r\n2006-02-06,11:38:00,3710.00,3710.00,3710.00,3710.00,279,0\r\n2006-02-06,11:39:00,3710.00,3710.00,3710.00,3710.00,34,0\r\n2006-02-06,11:40:00,3710.00,3711.00,3709.00,3709.00,155,0\r\n2006-02-06,11:41:00,3709.00,3710.00,3709.00,3709.00,402,0\r\n2006-02-06,11:42:00,3710.00,3710.00,3710.00,3710.00,11,0\r\n2006-02-06,11:43:00,3709.00,3709.00,3708.00,3709.00,358,0\r\n2006-02-06,11:44:00,3709.00,3710.00,3708.00,3708.00,162,0\r\n2006-02-06,11:45:00,3708.00,3709.00,3708.00,3708.00,78,0\r\n2006-02-06,11:46:00,3708.00,3708.00,3707.00,3708.00,1206,0\r\n2006-02-06,11:47:00,3708.00,3708.00,3708.00,3708.00,315,0\r\n2006-02-06,11:48:00,3708.00,3711.00,3708.00,3711.00,709,0\r\n2006-02-06,11:49:00,3711.00,3711.00,3710.00,3710.00,31,0\r\n2006-02-06,11:50:00,3710.00,3710.00,3710.00,3710.00,200,0\r\n2006-02-06,11:51:00,3710.00,3710.00,3710.00,3710.00,1,0\r\n2006-02-06,11:52:00,3710.00,3711.00,3710.00,3711.00,300,0\r\n2006-02-06,11:53:00,3712.00,3712.00,3711.00,3711.00,97,0\r\n2006-02-06,11:54:00,3712.00,3712.00,3711.00,3712.00,501,0\r\n2006-02-06,11:55:00,3712.00,3712.00,3711.00,3711.00,23,0\r\n2006-02-06,11:56:00,3711.00,3712.00,3711.00,3712.00,399,0\r\n2006-02-06,11:57:00,3712.00,3712.00,3712.00,3712.00,37,0\r\n2006-02-06,11:58:00,3711.00,3712.00,3710.00,3710.00,345,0\r\n2006-02-06,11:59:00,3710.00,3711.00,3710.00,3710.00,67,0\r\n2006-02-06,12:00:00,3710.00,3710.00,3709.00,3709.00,459,0\r\n2006-02-06,12:01:00,3709.00,3710.00,3708.00,3709.00,1556,0\r\n2006-02-06,12:02:00,3708.00,3709.00,3707.00,3708.00,608,0\r\n2006-02-06,12:03:00,3708.00,3709.00,3708.00,3709.00,1623,0\r\n2006-02-06,12:04:00,3709.00,3709.00,3707.00,3707.00,1084,0\r\n2006-02-06,12:05:00,3707.00,3709.00,3707.00,3709.00,495,0\r\n2006-02-06,12:06:00,3708.00,3710.00,3708.00,3710.00,172,0\r\n2006-02-06,12:07:00,3709.00,3709.00,3708.00,3709.00,179,0\r\n2006-02-06,12:08:00,3709.00,3709.00,3708.00,3708.00,150,0\r\n2006-02-06,12:09:00,3708.00,3708.00,3707.00,3707.00,101,0\r\n2006-02-06,12:10:00,3707.00,3708.00,3707.00,3707.00,4132,0\r\n2006-02-06,12:11:00,3707.00,3707.00,3706.00,3706.00,1858,0\r\n2006-02-06,12:12:00,3706.00,3707.00,3705.00,3706.00,1363,0\r\n2006-02-06,12:13:00,3705.00,3707.00,3705.00,3707.00,1177,0\r\n2006-02-06,12:14:00,3706.00,3706.00,3704.00,3705.00,472,0\r\n2006-02-06,12:15:00,3705.00,3705.00,3704.00,3704.00,244,0\r\n2006-02-06,12:16:00,3705.00,3706.00,3705.00,3706.00,752,0\r\n2006-02-06,12:17:00,3706.00,3707.00,3705.00,3706.00,350,0\r\n2006-02-06,12:18:00,3706.00,3707.00,3706.00,3706.00,247,0\r\n2006-02-06,12:19:00,3706.00,3706.00,3706.00,3706.00,15,0\r\n2006-02-06,12:20:00,3705.00,3706.00,3704.00,3706.00,496,0\r\n2006-02-06,12:21:00,3705.00,3706.00,3705.00,3706.00,61,0\r\n2006-02-06,12:22:00,3706.00,3706.00,3706.00,3706.00,32,0\r\n2006-02-06,12:23:00,3706.00,3707.00,3705.00,3706.00,648,0\r\n2006-02-06,12:24:00,3706.00,3706.00,3706.00,3706.00,12,0\r\n2006-02-06,12:25:00,3706.00,3707.00,3705.00,3705.00,385,0\r\n2006-02-06,12:26:00,3705.00,3705.00,3704.00,3705.00,40,0\r\n2006-02-06,12:27:00,3704.00,3705.00,3704.00,3704.00,29,0\r\n2006-02-06,12:28:00,3705.00,3705.00,3704.00,3705.00,22,0\r\n2006-02-06,12:29:00,3705.00,3706.00,3705.00,3705.00,627,0\r\n2006-02-06,12:30:00,3706.00,3706.00,3706.00,3706.00,12,0\r\n2006-02-06,12:31:00,3705.00,3706.00,3705.00,3706.00,132,0\r\n2006-02-06,12:32:00,3706.00,3707.00,3705.00,3707.00,204,0\r\n2006-02-06,12:33:00,3707.00,3708.00,3706.00,3707.00,623,0\r\n2006-02-06,12:34:00,3707.00,3707.00,3706.00,3706.00,8,0\r\n2006-02-06,12:35:00,3707.00,3707.00,3706.00,3707.00,366,0\r\n2006-02-06,12:36:00,3707.00,3709.00,3707.00,3708.00,302,0\r\n2006-02-06,12:37:00,3708.00,3709.00,3708.00,3708.00,414,0\r\n2006-02-06,12:38:00,3708.00,3708.00,3707.00,3707.00,20,0\r\n2006-02-06,12:40:00,3707.00,3707.00,3707.00,3707.00,1126,0\r\n2006-02-06,12:41:00,3708.00,3708.00,3708.00,3708.00,224,0\r\n2006-02-06,12:43:00,3707.00,3708.00,3707.00,3708.00,693,0\r\n2006-02-06,12:45:00,3707.00,3707.00,3707.00,3707.00,320,0\r\n2006-02-06,12:46:00,3707.00,3707.00,3706.00,3706.00,115,0\r\n2006-02-06,12:47:00,3706.00,3707.00,3706.00,3706.00,254,0\r\n2006-02-06,12:48:00,3707.00,3707.00,3706.00,3707.00,427,0\r\n2006-02-06,12:49:00,3707.00,3708.00,3707.00,3707.00,142,0\r\n2006-02-06,12:50:00,3707.00,3707.00,3705.00,3706.00,315,0\r\n2006-02-06,12:51:00,3705.00,3705.00,3705.00,3705.00,10,0\r\n2006-02-06,12:52:00,3705.00,3707.00,3705.00,3706.00,279,0\r\n2006-02-06,12:53:00,3706.00,3706.00,3706.00,3706.00,57,0\r\n2006-02-06,12:54:00,3707.00,3707.00,3705.00,3705.00,259,0\r\n2006-02-06,12:55:00,3705.00,3705.00,3704.00,3705.00,383,0\r\n2006-02-06,12:56:00,3704.00,3705.00,3704.00,3705.00,237,0\r\n2006-02-06,12:57:00,3706.00,3706.00,3705.00,3705.00,360,0\r\n2006-02-06,12:58:00,3705.00,3705.00,3704.00,3704.00,8,0\r\n2006-02-06,13:00:00,3705.00,3706.00,3705.00,3705.00,409,0\r\n2006-02-06,13:02:00,3705.00,3705.00,3705.00,3705.00,243,0\r\n2006-02-06,13:03:00,3705.00,3706.00,3705.00,3706.00,281,0\r\n2006-02-06,13:04:00,3706.00,3706.00,3706.00,3706.00,344,0\r\n2006-02-06,13:05:00,3707.00,3707.00,3706.00,3707.00,3413,0\r\n2006-02-06,13:06:00,3707.00,3707.00,3706.00,3707.00,526,0\r\n2006-02-06,13:07:00,3707.00,3707.00,3707.00,3707.00,9,0\r\n2006-02-06,13:08:00,3706.00,3707.00,3706.00,3707.00,313,0\r\n2006-02-06,13:09:00,3707.00,3707.00,3707.00,3707.00,157,0\r\n2006-02-06,13:10:00,3707.00,3707.00,3707.00,3707.00,45,0\r\n2006-02-06,13:11:00,3707.00,3708.00,3707.00,3707.00,840,0\r\n2006-02-06,13:12:00,3707.00,3707.00,3707.00,3707.00,90,0\r\n2006-02-06,13:13:00,3707.00,3707.00,3706.00,3706.00,6,0\r\n2006-02-06,13:14:00,3707.00,3707.00,3707.00,3707.00,161,0\r\n2006-02-06,13:16:00,3706.00,3706.00,3706.00,3706.00,75,0\r\n2006-02-06,13:17:00,3707.00,3707.00,3706.00,3706.00,312,0\r\n2006-02-06,13:18:00,3706.00,3707.00,3705.00,3705.00,71,0\r\n2006-02-06,13:19:00,3706.00,3706.00,3705.00,3705.00,19,0\r\n2006-02-06,13:21:00,3706.00,3706.00,3706.00,3706.00,72,0\r\n2006-02-06,13:22:00,3705.00,3705.00,3704.00,3704.00,92,0\r\n2006-02-06,13:23:00,3704.00,3705.00,3704.00,3704.00,350,0\r\n2006-02-06,13:24:00,3705.00,3706.00,3705.00,3706.00,373,0\r\n2006-02-06,13:25:00,3706.00,3706.00,3705.00,3705.00,14,0\r\n2006-02-06,13:26:00,3706.00,3706.00,3706.00,3706.00,186,0\r\n2006-02-06,13:27:00,3705.00,3705.00,3704.00,3704.00,320,0\r\n2006-02-06,13:28:00,3704.00,3704.00,3703.00,3704.00,728,0\r\n2006-02-06,13:29:00,3704.00,3704.00,3704.00,3704.00,252,0\r\n2006-02-06,13:30:00,3704.00,3704.00,3704.00,3704.00,101,0\r\n2006-02-06,13:31:00,3704.00,3704.00,3704.00,3704.00,129,0\r\n2006-02-06,13:32:00,3705.00,3705.00,3702.00,3702.00,592,0\r\n2006-02-06,13:33:00,3702.00,3703.00,3702.00,3702.00,338,0\r\n2006-02-06,13:34:00,3703.00,3703.00,3703.00,3703.00,357,0\r\n2006-02-06,13:35:00,3703.00,3704.00,3703.00,3703.00,326,0\r\n2006-02-06,13:36:00,3703.00,3703.00,3702.00,3702.00,170,0\r\n2006-02-06,13:37:00,3702.00,3703.00,3702.00,3702.00,442,0\r\n2006-02-06,13:38:00,3703.00,3704.00,3703.00,3704.00,106,0\r\n2006-02-06,13:39:00,3704.00,3705.00,3703.00,3704.00,415,0\r\n2006-02-06,13:40:00,3704.00,3704.00,3704.00,3704.00,66,0\r\n2006-02-06,13:41:00,3704.00,3704.00,3704.00,3704.00,1,0\r\n2006-02-06,13:42:00,3703.00,3703.00,3703.00,3703.00,33,0\r\n2006-02-06,13:43:00,3704.00,3704.00,3704.00,3704.00,65,0\r\n2006-02-06,13:44:00,3704.00,3704.00,3704.00,3704.00,11,0\r\n2006-02-06,13:45:00,3704.00,3704.00,3703.00,3704.00,24,0\r\n2006-02-06,13:46:00,3704.00,3704.00,3704.00,3704.00,58,0\r\n2006-02-06,13:47:00,3704.00,3704.00,3704.00,3704.00,216,0\r\n2006-02-06,13:48:00,3704.00,3704.00,3704.00,3704.00,21,0\r\n2006-02-06,13:49:00,3704.00,3705.00,3704.00,3704.00,43,0\r\n2006-02-06,13:50:00,3705.00,3705.00,3704.00,3705.00,311,0\r\n2006-02-06,13:51:00,3705.00,3705.00,3704.00,3704.00,353,0\r\n2006-02-06,13:52:00,3704.00,3704.00,3704.00,3704.00,86,0\r\n2006-02-06,13:53:00,3704.00,3704.00,3704.00,3704.00,30,0\r\n2006-02-06,13:54:00,3704.00,3704.00,3704.00,3704.00,282,0\r\n2006-02-06,13:55:00,3704.00,3704.00,3703.00,3704.00,166,0\r\n2006-02-06,13:56:00,3704.00,3704.00,3704.00,3704.00,10,0\r\n2006-02-06,13:57:00,3704.00,3704.00,3704.00,3704.00,43,0\r\n2006-02-06,13:58:00,3704.00,3705.00,3704.00,3705.00,280,0\r\n2006-02-06,13:59:00,3705.00,3705.00,3704.00,3705.00,124,0\r\n2006-02-06,14:00:00,3705.00,3705.00,3705.00,3705.00,83,0\r\n2006-02-06,14:01:00,3705.00,3706.00,3705.00,3705.00,273,0\r\n2006-02-06,14:02:00,3705.00,3705.00,3704.00,3705.00,88,0\r\n2006-02-06,14:03:00,3705.00,3705.00,3704.00,3705.00,174,0\r\n2006-02-06,14:04:00,3704.00,3704.00,3703.00,3704.00,338,0\r\n2006-02-06,14:05:00,3704.00,3704.00,3704.00,3704.00,112,0\r\n2006-02-06,14:06:00,3703.00,3703.00,3703.00,3703.00,362,0\r\n2006-02-06,14:07:00,3703.00,3703.00,3702.00,3703.00,571,0\r\n2006-02-06,14:08:00,3704.00,3704.00,3704.00,3704.00,1,0\r\n2006-02-06,14:09:00,3704.00,3704.00,3704.00,3704.00,35,0\r\n2006-02-06,14:10:00,3703.00,3703.00,3703.00,3703.00,2,0\r\n2006-02-06,14:11:00,3704.00,3704.00,3704.00,3704.00,25,0\r\n2006-02-06,14:12:00,3703.00,3703.00,3703.00,3703.00,37,0\r\n2006-02-06,14:13:00,3703.00,3703.00,3703.00,3703.00,215,0\r\n2006-02-06,14:14:00,3703.00,3704.00,3703.00,3704.00,373,0\r\n2006-02-06,14:15:00,3704.00,3705.00,3704.00,3705.00,296,0\r\n2006-02-06,14:16:00,3704.00,3706.00,3704.00,3705.00,702,0\r\n2006-02-06,14:17:00,3706.00,3707.00,3705.00,3707.00,633,0\r\n2006-02-06,14:18:00,3706.00,3708.00,3706.00,3707.00,888,0\r\n2006-02-06,14:19:00,3707.00,3707.00,3707.00,3707.00,288,0\r\n2006-02-06,14:20:00,3707.00,3707.00,3707.00,3707.00,354,0\r\n2006-02-06,14:21:00,3707.00,3707.00,3706.00,3706.00,187,0\r\n2006-02-06,14:22:00,3707.00,3707.00,3707.00,3707.00,362,0\r\n2006-02-06,14:23:00,3708.00,3708.00,3706.00,3706.00,437,0\r\n2006-02-06,14:24:00,3705.00,3706.00,3705.00,3706.00,5,0\r\n2006-02-06,14:25:00,3706.00,3707.00,3706.00,3707.00,572,0\r\n2006-02-06,14:26:00,3706.00,3707.00,3706.00,3707.00,46,0\r\n2006-02-06,14:27:00,3707.00,3708.00,3707.00,3708.00,290,0\r\n2006-02-06,14:28:00,3707.00,3707.00,3707.00,3707.00,210,0\r\n2006-02-06,14:29:00,3707.00,3708.00,3707.00,3707.00,97,0\r\n2006-02-06,14:30:00,3707.00,3707.00,3707.00,3707.00,1,0\r\n2006-02-06,14:31:00,3706.00,3707.00,3706.00,3707.00,10,0\r\n2006-02-06,14:32:00,3706.00,3708.00,3706.00,3707.00,1337,0\r\n2006-02-06,14:33:00,3707.00,3707.00,3705.00,3706.00,374,0\r\n2006-02-06,14:34:00,3706.00,3707.00,3705.00,3706.00,167,0\r\n2006-02-06,14:35:00,3706.00,3706.00,3705.00,3706.00,43,0\r\n2006-02-06,14:36:00,3706.00,3706.00,3705.00,3706.00,65,0\r\n2006-02-06,14:37:00,3706.00,3707.00,3706.00,3707.00,71,0\r\n2006-02-06,14:38:00,3706.00,3706.00,3706.00,3706.00,3,0\r\n2006-02-06,14:39:00,3706.00,3707.00,3705.00,3706.00,96,0\r\n2006-02-06,14:40:00,3707.00,3708.00,3707.00,3707.00,112,0\r\n2006-02-06,14:41:00,3708.00,3708.00,3707.00,3707.00,60,0\r\n2006-02-06,14:42:00,3707.00,3707.00,3707.00,3707.00,1,0\r\n2006-02-06,14:43:00,3706.00,3706.00,3706.00,3706.00,2,0\r\n2006-02-06,14:44:00,3706.00,3706.00,3706.00,3706.00,2,0\r\n2006-02-06,14:45:00,3706.00,3706.00,3706.00,3706.00,1,0\r\n2006-02-06,14:46:00,3707.00,3707.00,3706.00,3707.00,213,0\r\n2006-02-06,14:47:00,3707.00,3707.00,3705.00,3705.00,697,0\r\n2006-02-06,14:48:00,3706.00,3706.00,3705.00,3705.00,184,0\r\n2006-02-06,14:49:00,3705.00,3706.00,3705.00,3706.00,292,0\r\n2006-02-06,14:50:00,3706.00,3706.00,3705.00,3706.00,169,0\r\n2006-02-06,14:51:00,3706.00,3706.00,3705.00,3706.00,48,0\r\n2006-02-06,14:52:00,3705.00,3706.00,3705.00,3706.00,11,0\r\n2006-02-06,14:53:00,3705.00,3706.00,3705.00,3706.00,226,0\r\n2006-02-06,14:54:00,3706.00,3706.00,3705.00,3706.00,19,0\r\n2006-02-06,14:55:00,3705.00,3706.00,3705.00,3706.00,71,0\r\n2006-02-06,14:56:00,3706.00,3706.00,3706.00,3706.00,3,0\r\n2006-02-06,14:57:00,3706.00,3706.00,3706.00,3706.00,22,0\r\n2006-02-06,14:58:00,3706.00,3706.00,3706.00,3706.00,111,0\r\n2006-02-06,14:59:00,3705.00,3705.00,3705.00,3705.00,25,0\r\n2006-02-06,15:00:00,3705.00,3706.00,3705.00,3706.00,278,0\r\n2006-02-06,15:01:00,3706.00,3706.00,3706.00,3706.00,62,0\r\n2006-02-06,15:02:00,3707.00,3707.00,3705.00,3705.00,201,0\r\n2006-02-06,15:03:00,3706.00,3706.00,3706.00,3706.00,10,0\r\n2006-02-06,15:04:00,3706.00,3706.00,3706.00,3706.00,1,0\r\n2006-02-06,15:05:00,3706.00,3706.00,3705.00,3706.00,13,0\r\n2006-02-06,15:07:00,3706.00,3706.00,3706.00,3706.00,5,0\r\n2006-02-06,15:08:00,3705.00,3705.00,3702.00,3703.00,1422,0\r\n2006-02-06,15:09:00,3703.00,3703.00,3701.00,3702.00,921,0\r\n2006-02-06,15:10:00,3702.00,3702.00,3698.00,3698.00,3695,0\r\n2006-02-06,15:11:00,3699.00,3700.00,3695.00,3697.00,2533,0\r\n2006-02-06,15:12:00,3697.00,3700.00,3696.00,3698.00,1928,0\r\n2006-02-06,15:13:00,3698.00,3699.00,3698.00,3699.00,150,0\r\n2006-02-06,15:14:00,3699.00,3699.00,3698.00,3698.00,862,0\r\n2006-02-06,15:15:00,3699.00,3700.00,3699.00,3699.00,136,0\r\n2006-02-06,15:16:00,3699.00,3700.00,3698.00,3700.00,1450,0\r\n2006-02-06,15:17:00,3700.00,3702.00,3700.00,3701.00,1132,0\r\n2006-02-06,15:18:00,3702.00,3702.00,3700.00,3700.00,404,0\r\n2006-02-06,15:19:00,3700.00,3702.00,3700.00,3702.00,523,0\r\n2006-02-06,15:20:00,3702.00,3702.00,3702.00,3702.00,502,0\r\n2006-02-06,15:21:00,3701.00,3702.00,3700.00,3701.00,287,0\r\n2006-02-06,15:22:00,3701.00,3701.00,3701.00,3701.00,31,0\r\n2006-02-06,15:23:00,3702.00,3702.00,3699.00,3699.00,731,0\r\n2006-02-06,15:24:00,3699.00,3700.00,3698.00,3698.00,630,0\r\n2006-02-06,15:25:00,3697.00,3698.00,3696.00,3697.00,1062,0\r\n2006-02-06,15:26:00,3696.00,3697.00,3696.00,3697.00,164,0\r\n2006-02-06,15:27:00,3697.00,3698.00,3696.00,3698.00,789,0\r\n2006-02-06,15:28:00,3698.00,3698.00,3697.00,3698.00,133,0\r\n2006-02-06,15:29:00,3697.00,3697.00,3697.00,3697.00,332,0\r\n2006-02-06,15:30:00,3697.00,3698.00,3697.00,3697.00,297,0\r\n2006-02-06,15:31:00,3697.00,3698.00,3695.00,3696.00,1133,0\r\n2006-02-06,15:32:00,3694.00,3696.00,3694.00,3695.00,1152,0\r\n2006-02-06,15:33:00,3696.00,3698.00,3695.00,3698.00,420,0\r\n2006-02-06,15:34:00,3698.00,3698.00,3697.00,3698.00,241,0\r\n2006-02-06,15:35:00,3698.00,3699.00,3697.00,3698.00,731,0\r\n2006-02-06,15:36:00,3698.00,3700.00,3697.00,3700.00,892,0\r\n2006-02-06,15:37:00,3700.00,3701.00,3699.00,3701.00,439,0\r\n2006-02-06,15:38:00,3701.00,3702.00,3700.00,3701.00,1006,0\r\n2006-02-06,15:39:00,3701.00,3702.00,3699.00,3700.00,1184,0\r\n2006-02-06,15:40:00,3700.00,3701.00,3700.00,3701.00,477,0\r\n2006-02-06,15:41:00,3701.00,3702.00,3699.00,3701.00,809,0\r\n2006-02-06,15:42:00,3701.00,3702.00,3700.00,3702.00,670,0\r\n2006-02-06,15:43:00,3702.00,3704.00,3701.00,3703.00,961,0\r\n2006-02-06,15:44:00,3702.00,3702.00,3699.00,3699.00,747,0\r\n2006-02-06,15:45:00,3700.00,3701.00,3699.00,3700.00,402,0\r\n2006-02-06,15:46:00,3701.00,3704.00,3701.00,3701.00,1249,0\r\n2006-02-06,15:47:00,3701.00,3701.00,3700.00,3701.00,853,0\r\n2006-02-06,15:48:00,3702.00,3702.00,3701.00,3702.00,462,0\r\n2006-02-06,15:49:00,3701.00,3701.00,3700.00,3701.00,493,0\r\n2006-02-06,15:50:00,3700.00,3701.00,3700.00,3700.00,170,0\r\n2006-02-06,15:51:00,3700.00,3701.00,3700.00,3700.00,1205,0\r\n2006-02-06,15:52:00,3701.00,3702.00,3701.00,3701.00,824,0\r\n2006-02-06,15:53:00,3701.00,3702.00,3701.00,3702.00,202,0\r\n2006-02-06,15:54:00,3701.00,3702.00,3700.00,3700.00,366,0\r\n2006-02-06,15:55:00,3700.00,3701.00,3700.00,3700.00,327,0\r\n2006-02-06,15:56:00,3701.00,3701.00,3697.00,3697.00,2049,0\r\n2006-02-06,15:57:00,3697.00,3697.00,3695.00,3696.00,1547,0\r\n2006-02-06,15:58:00,3695.00,3696.00,3695.00,3696.00,1823,0\r\n2006-02-06,15:59:00,3696.00,3696.00,3695.00,3695.00,1073,0\r\n2006-02-06,16:00:00,3695.00,3695.00,3695.00,3695.00,10,0\r\n2006-02-06,16:01:00,3697.00,3697.00,3697.00,3697.00,2,0\r\n2006-02-06,16:02:00,3696.00,3697.00,3696.00,3697.00,291,0\r\n2006-02-06,16:03:00,3696.00,3696.00,3696.00,3696.00,1,0\r\n2006-02-06,16:04:00,3698.00,3698.00,3698.00,3698.00,2,0\r\n2006-02-06,16:05:00,3699.00,3699.00,3699.00,3699.00,100,0\r\n2006-02-06,16:06:00,3699.00,3699.00,3699.00,3699.00,1,0\r\n2006-02-06,16:07:00,3699.00,3699.00,3699.00,3699.00,40,0\r\n2006-02-06,16:08:00,3699.00,3699.00,3699.00,3699.00,7,0\r\n2006-02-06,16:09:00,3697.00,3697.00,3697.00,3697.00,100,0\r\n2006-02-06,16:10:00,3698.00,3698.00,3698.00,3698.00,1,0\r\n2006-02-06,16:11:00,3696.00,3696.00,3695.00,3696.00,474,0\r\n2006-02-06,16:12:00,3697.00,3697.00,3697.00,3697.00,7,0\r\n2006-02-06,16:13:00,3697.00,3697.00,3697.00,3697.00,50,0\r\n2006-02-06,16:14:00,3699.00,3699.00,3699.00,3699.00,10,0\r\n2006-02-06,16:15:00,3697.00,3697.00,3697.00,3697.00,1,0\r\n2006-02-06,16:16:00,3697.00,3697.00,3697.00,3697.00,198,0\r\n2006-02-06,16:17:00,3693.00,3693.00,3693.00,3693.00,8,0\r\n2006-02-06,16:18:00,3694.00,3694.00,3694.00,3694.00,2,0\r\n2006-02-06,16:19:00,3691.00,3691.00,3691.00,3691.00,100,0\r\n2006-02-06,16:20:00,3691.00,3692.00,3688.00,3689.00,5463,0\r\n2006-02-06,16:21:00,3689.00,3689.00,3689.00,3689.00,15,0\r\n2006-02-06,16:22:00,3689.00,3689.00,3689.00,3689.00,2,0\r\n2006-02-06,16:23:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-02-06,16:24:00,3689.00,3690.00,3688.00,3690.00,519,0\r\n2006-02-06,16:25:00,3690.00,3690.00,3690.00,3690.00,200,0\r\n2006-02-06,16:26:00,3689.00,3689.00,3689.00,3689.00,230,0\r\n2006-02-06,16:27:00,3684.00,3684.00,3684.00,3684.00,10,0\r\n2006-02-06,16:28:00,3685.00,3686.00,3685.00,3686.00,757,0\r\n2006-02-06,16:29:00,3686.00,3686.00,3686.00,3686.00,100,0\r\n2006-02-06,16:30:00,3682.00,3682.00,3682.00,3682.00,1,0\r\n2006-02-06,16:31:00,3681.00,3681.00,3681.00,3681.00,20,0\r\n2006-02-06,16:32:00,3683.00,3683.00,3682.00,3682.00,626,0\r\n2006-02-06,16:33:00,3682.00,3682.00,3682.00,3682.00,1,0\r\n2006-02-06,16:34:00,3684.00,3684.00,3684.00,3684.00,5,0\r\n2006-02-06,16:35:00,3684.00,3686.00,3684.00,3686.00,1248,0\r\n2006-02-06,16:36:00,3686.00,3686.00,3686.00,3686.00,4,0\r\n2006-02-06,16:37:00,3686.00,3686.00,3686.00,3686.00,20,0\r\n2006-02-06,16:38:00,3685.00,3685.00,3685.00,3685.00,10,0\r\n2006-02-06,16:39:00,3682.00,3683.00,3682.00,3683.00,370,0\r\n2006-02-06,16:40:00,3684.00,3684.00,3684.00,3684.00,1,0\r\n2006-02-06,16:41:00,3687.00,3687.00,3687.00,3687.00,6,0\r\n2006-02-06,16:42:00,3688.00,3688.00,3687.00,3688.00,614,0\r\n2006-02-06,16:43:00,3687.00,3687.00,3687.00,3687.00,10,0\r\n2006-02-06,16:44:00,3688.00,3688.00,3688.00,3688.00,2,0\r\n2006-02-06,16:45:00,3686.00,3687.00,3685.00,3686.00,840,0\r\n2006-02-06,16:46:00,3687.00,3687.00,3687.00,3687.00,10,0\r\n2006-02-06,16:47:00,3687.00,3687.00,3687.00,3687.00,1,0\r\n2006-02-06,16:48:00,3687.00,3690.00,3687.00,3689.00,1514,0\r\n2006-02-06,16:49:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-02-06,16:50:00,3689.00,3689.00,3689.00,3689.00,30,0\r\n2006-02-06,16:51:00,3688.00,3689.00,3688.00,3689.00,346,0\r\n2006-02-06,16:52:00,3689.00,3689.00,3689.00,3689.00,5,0\r\n2006-02-06,16:53:00,3688.00,3688.00,3688.00,3688.00,132,0\r\n2006-02-06,16:54:00,3687.00,3689.00,3686.00,3689.00,1428,0\r\n2006-02-06,16:55:00,3689.00,3690.00,3687.00,3688.00,1235,0\r\n2006-02-06,16:56:00,3688.00,3689.00,3687.00,3689.00,411,0\r\n2006-02-06,16:57:00,3689.00,3689.00,3688.00,3688.00,949,0\r\n2006-02-06,16:58:00,3689.00,3689.00,3688.00,3688.00,729,0\r\n2006-02-06,16:59:00,3688.00,3688.00,3686.00,3686.00,1696,0\r\n2006-02-06,17:00:00,3687.00,3689.00,3686.00,3688.00,1327,0\r\n2006-02-06,17:01:00,3688.00,3689.00,3687.00,3689.00,992,0\r\n2006-02-06,17:02:00,3688.00,3689.00,3688.00,3689.00,125,0\r\n2006-02-06,17:03:00,3689.00,3689.00,3689.00,3689.00,310,0\r\n2006-02-06,17:04:00,3689.00,3690.00,3687.00,3690.00,944,0\r\n2006-02-06,17:05:00,3690.00,3693.00,3690.00,3693.00,4112,0\r\n2006-02-06,17:06:00,3693.00,3695.00,3692.00,3695.00,2320,0\r\n2006-02-06,17:07:00,3695.00,3695.00,3694.00,3694.00,1754,0\r\n2006-02-06,17:08:00,3694.00,3694.00,3693.00,3694.00,1017,0\r\n2006-02-06,17:09:00,3694.00,3695.00,3692.00,3693.00,1012,0\r\n2006-02-06,17:10:00,3693.00,3695.00,3693.00,3694.00,985,0\r\n2006-02-06,17:11:00,3694.00,3695.00,3694.00,3694.00,414,0\r\n2006-02-06,17:12:00,3694.00,3694.00,3693.00,3693.00,464,0\r\n2006-02-06,17:13:00,3693.00,3694.00,3693.00,3693.00,554,0\r\n2006-02-06,17:14:00,3694.00,3695.00,3693.00,3694.00,1112,0\r\n2006-02-06,17:15:00,3694.00,3695.00,3694.00,3694.00,400,0\r\n2006-02-06,17:16:00,3693.00,3694.00,3692.00,3693.00,1195,0\r\n2006-02-06,17:17:00,3693.00,3694.00,3693.00,3693.00,162,0\r\n2006-02-06,17:18:00,3693.00,3693.00,3692.00,3693.00,693,0\r\n2006-02-06,17:19:00,3693.00,3693.00,3692.00,3692.00,468,0\r\n2006-02-06,17:20:00,3693.00,3694.00,3693.00,3694.00,417,0\r\n2006-02-06,17:21:00,3694.00,3694.00,3691.00,3691.00,1351,0\r\n2006-02-06,17:22:00,3691.00,3693.00,3691.00,3691.00,741,0\r\n2006-02-06,17:23:00,3691.00,3691.00,3690.00,3690.00,434,0\r\n2006-02-06,17:24:00,3690.00,3691.00,3689.00,3690.00,1472,0\r\n2006-02-06,17:25:00,3690.00,3691.00,3689.00,3690.00,693,0\r\n2006-02-06,17:26:00,3691.00,3691.00,3690.00,3691.00,491,0\r\n2006-02-06,17:27:00,3691.00,3692.00,3691.00,3692.00,637,0\r\n2006-02-06,17:28:00,3692.00,3692.00,3690.00,3691.00,1368,0\r\n2006-02-06,17:29:00,3691.00,3692.00,3691.00,3692.00,989,0\r\n2006-02-06,17:30:00,3691.00,3692.00,3690.00,3690.00,2990,0\r\n2006-02-06,17:31:00,3691.00,3693.00,3690.00,3692.00,2495,0\r\n2006-02-06,17:32:00,3693.00,3694.00,3692.00,3693.00,1687,0\r\n2006-02-06,17:33:00,3693.00,3693.00,3692.00,3693.00,377,0\r\n2006-02-06,17:34:00,3692.00,3693.00,3692.00,3693.00,743,0\r\n2006-02-06,17:35:00,3693.00,3693.00,3692.00,3692.00,408,0\r\n2006-02-06,17:36:00,3692.00,3693.00,3691.00,3691.00,1162,0\r\n2006-02-06,17:37:00,3691.00,3693.00,3691.00,3692.00,941,0\r\n2006-02-06,17:38:00,3692.00,3693.00,3692.00,3692.00,314,0\r\n2006-02-06,17:39:00,3693.00,3693.00,3692.00,3693.00,1033,0\r\n2006-02-06,17:40:00,3694.00,3694.00,3691.00,3691.00,1182,0\r\n2006-02-06,17:41:00,3692.00,3692.00,3691.00,3692.00,344,0\r\n2006-02-06,17:42:00,3693.00,3695.00,3693.00,3695.00,790,0\r\n2006-02-06,17:43:00,3695.00,3696.00,3693.00,3695.00,881,0\r\n2006-02-06,17:44:00,3694.00,3694.00,3692.00,3693.00,406,0\r\n2006-02-06,17:45:00,3693.00,3694.00,3693.00,3693.00,376,0\r\n2006-02-06,17:46:00,3693.00,3693.00,3691.00,3691.00,1545,0\r\n2006-02-06,17:47:00,3691.00,3691.00,3690.00,3691.00,772,0\r\n2006-02-06,17:48:00,3692.00,3693.00,3692.00,3692.00,453,0\r\n2006-02-06,17:49:00,3693.00,3696.00,3693.00,3694.00,583,0\r\n2006-02-06,17:50:00,3695.00,3695.00,3694.00,3695.00,21,0\r\n2006-02-06,17:51:00,3695.00,3696.00,3695.00,3695.00,382,0\r\n2006-02-06,17:52:00,3695.00,3696.00,3695.00,3695.00,356,0\r\n2006-02-06,17:53:00,3696.00,3696.00,3695.00,3695.00,188,0\r\n2006-02-06,17:54:00,3695.00,3695.00,3693.00,3693.00,291,0\r\n2006-02-06,17:55:00,3692.00,3693.00,3692.00,3693.00,25,0\r\n2006-02-06,17:56:00,3693.00,3693.00,3693.00,3693.00,150,0\r\n2006-02-06,17:57:00,3693.00,3695.00,3693.00,3695.00,259,0\r\n2006-02-06,17:58:00,3695.00,3695.00,3695.00,3695.00,57,0\r\n2006-02-06,17:59:00,3695.00,3695.00,3695.00,3695.00,118,0\r\n2006-02-06,18:00:00,3695.00,3695.00,3694.00,3694.00,306,0\r\n2006-02-06,18:01:00,3695.00,3696.00,3695.00,3695.00,592,0\r\n2006-02-06,18:02:00,3696.00,3696.00,3695.00,3695.00,64,0\r\n2006-02-06,18:03:00,3696.00,3698.00,3696.00,3697.00,258,0\r\n2006-02-06,18:04:00,3697.00,3697.00,3696.00,3697.00,347,0\r\n2006-02-06,18:05:00,3696.00,3696.00,3696.00,3696.00,190,0\r\n2006-02-06,18:06:00,3696.00,3697.00,3696.00,3697.00,223,0\r\n2006-02-06,18:07:00,3697.00,3700.00,3697.00,3698.00,1475,0\r\n2006-02-06,18:08:00,3698.00,3698.00,3697.00,3697.00,459,0\r\n2006-02-06,18:09:00,3696.00,3696.00,3695.00,3696.00,322,0\r\n2006-02-06,18:10:00,3696.00,3696.00,3694.00,3694.00,449,0\r\n2006-02-06,18:11:00,3694.00,3695.00,3692.00,3695.00,385,0\r\n2006-02-06,18:12:00,3694.00,3695.00,3694.00,3695.00,83,0\r\n2006-02-06,18:13:00,3695.00,3696.00,3695.00,3695.00,77,0\r\n2006-02-06,18:14:00,3696.00,3697.00,3696.00,3696.00,361,0\r\n2006-02-06,18:15:00,3696.00,3696.00,3695.00,3696.00,168,0\r\n2006-02-06,18:16:00,3695.00,3695.00,3695.00,3695.00,40,0\r\n2006-02-06,18:17:00,3696.00,3696.00,3695.00,3695.00,58,0\r\n2006-02-06,18:18:00,3695.00,3695.00,3694.00,3694.00,116,0\r\n2006-02-06,18:19:00,3694.00,3694.00,3692.00,3693.00,1100,0\r\n2006-02-06,18:20:00,3693.00,3693.00,3692.00,3693.00,330,0\r\n2006-02-06,18:21:00,3692.00,3693.00,3692.00,3693.00,250,0\r\n2006-02-06,18:22:00,3692.00,3692.00,3690.00,3690.00,1013,0\r\n2006-02-06,18:23:00,3690.00,3691.00,3690.00,3691.00,128,0\r\n2006-02-06,18:24:00,3691.00,3691.00,3691.00,3691.00,115,0\r\n2006-02-06,18:25:00,3691.00,3692.00,3691.00,3691.00,229,0\r\n2006-02-06,18:26:00,3691.00,3691.00,3690.00,3690.00,245,0\r\n2006-02-06,18:27:00,3689.00,3692.00,3689.00,3692.00,393,0\r\n2006-02-06,18:28:00,3692.00,3692.00,3692.00,3692.00,35,0\r\n2006-02-06,18:29:00,3692.00,3692.00,3691.00,3691.00,127,0\r\n2006-02-06,18:30:00,3692.00,3692.00,3691.00,3691.00,107,0\r\n2006-02-06,18:31:00,3691.00,3692.00,3691.00,3692.00,193,0\r\n2006-02-06,18:32:00,3692.00,3692.00,3691.00,3691.00,227,0\r\n2006-02-06,18:33:00,3691.00,3691.00,3690.00,3691.00,137,0\r\n2006-02-06,18:34:00,3691.00,3691.00,3690.00,3691.00,228,0\r\n2006-02-06,18:35:00,3691.00,3691.00,3691.00,3691.00,16,0\r\n2006-02-06,18:36:00,3691.00,3691.00,3691.00,3691.00,59,0\r\n2006-02-06,18:37:00,3690.00,3691.00,3690.00,3691.00,21,0\r\n2006-02-06,18:39:00,3691.00,3691.00,3691.00,3691.00,206,0\r\n2006-02-06,18:40:00,3691.00,3691.00,3690.00,3691.00,243,0\r\n2006-02-06,18:41:00,3691.00,3691.00,3691.00,3691.00,55,0\r\n2006-02-06,18:42:00,3691.00,3691.00,3691.00,3691.00,32,0\r\n2006-02-06,18:44:00,3691.00,3693.00,3691.00,3693.00,329,0\r\n2006-02-06,18:45:00,3692.00,3692.00,3692.00,3692.00,342,0\r\n2006-02-06,18:46:00,3692.00,3692.00,3691.00,3692.00,131,0\r\n2006-02-06,18:47:00,3691.00,3692.00,3691.00,3691.00,58,0\r\n2006-02-06,18:48:00,3691.00,3692.00,3691.00,3692.00,23,0\r\n2006-02-06,18:49:00,3692.00,3692.00,3692.00,3692.00,86,0\r\n2006-02-06,18:50:00,3692.00,3692.00,3692.00,3692.00,40,0\r\n2006-02-06,18:51:00,3693.00,3693.00,3692.00,3692.00,20,0\r\n2006-02-06,18:52:00,3692.00,3692.00,3692.00,3692.00,96,0\r\n2006-02-06,18:53:00,3692.00,3692.00,3692.00,3692.00,28,0\r\n2006-02-06,18:54:00,3692.00,3692.00,3692.00,3692.00,25,0\r\n2006-02-06,18:55:00,3691.00,3691.00,3691.00,3691.00,10,0\r\n2006-02-06,18:56:00,3691.00,3692.00,3691.00,3692.00,164,0\r\n2006-02-06,18:57:00,3692.00,3692.00,3690.00,3691.00,387,0\r\n2006-02-06,18:58:00,3692.00,3692.00,3691.00,3691.00,75,0\r\n2006-02-06,18:59:00,3692.00,3692.00,3691.00,3691.00,32,0\r\n2006-02-06,19:00:00,3690.00,3691.00,3690.00,3691.00,165,0\r\n2006-02-06,19:01:00,3691.00,3692.00,3691.00,3692.00,51,0\r\n2006-02-06,19:02:00,3691.00,3692.00,3691.00,3692.00,28,0\r\n2006-02-06,19:03:00,3692.00,3692.00,3691.00,3692.00,69,0\r\n2006-02-06,19:04:00,3693.00,3693.00,3692.00,3693.00,73,0\r\n2006-02-06,19:05:00,3693.00,3694.00,3692.00,3693.00,110,0\r\n2006-02-06,19:06:00,3692.00,3693.00,3692.00,3693.00,24,0\r\n2006-02-06,19:07:00,3693.00,3693.00,3693.00,3693.00,12,0\r\n2006-02-06,19:08:00,3693.00,3693.00,3693.00,3693.00,12,0\r\n2006-02-06,19:09:00,3693.00,3693.00,3693.00,3693.00,12,0\r\n2006-02-06,19:10:00,3693.00,3695.00,3693.00,3694.00,160,0\r\n2006-02-06,19:11:00,3695.00,3695.00,3695.00,3695.00,78,0\r\n2006-02-06,19:12:00,3695.00,3696.00,3695.00,3695.00,19,0\r\n2006-02-06,19:13:00,3695.00,3695.00,3695.00,3695.00,62,0\r\n2006-02-06,19:14:00,3695.00,3695.00,3694.00,3694.00,13,0\r\n2006-02-06,19:15:00,3695.00,3695.00,3693.00,3693.00,319,0\r\n2006-02-06,19:16:00,3692.00,3693.00,3692.00,3693.00,179,0\r\n2006-02-06,19:17:00,3692.00,3693.00,3692.00,3693.00,22,0\r\n2006-02-06,19:18:00,3693.00,3693.00,3693.00,3693.00,28,0\r\n2006-02-06,19:19:00,3693.00,3693.00,3693.00,3693.00,43,0\r\n2006-02-06,19:20:00,3693.00,3693.00,3690.00,3690.00,272,0\r\n2006-02-06,19:21:00,3691.00,3691.00,3690.00,3691.00,69,0\r\n2006-02-06,19:22:00,3691.00,3691.00,3691.00,3691.00,12,0\r\n2006-02-06,19:23:00,3691.00,3692.00,3691.00,3691.00,270,0\r\n2006-02-06,19:24:00,3691.00,3691.00,3690.00,3690.00,29,0\r\n2006-02-06,19:25:00,3691.00,3691.00,3691.00,3691.00,36,0\r\n2006-02-06,19:26:00,3691.00,3692.00,3691.00,3692.00,243,0\r\n2006-02-06,19:27:00,3693.00,3693.00,3692.00,3692.00,35,0\r\n2006-02-06,19:29:00,3691.00,3691.00,3691.00,3691.00,10,0\r\n2006-02-06,19:30:00,3692.00,3692.00,3691.00,3692.00,22,0\r\n2006-02-06,19:31:00,3692.00,3696.00,3692.00,3695.00,388,0\r\n2006-02-06,19:32:00,3694.00,3694.00,3693.00,3694.00,58,0\r\n2006-02-06,19:33:00,3693.00,3693.00,3693.00,3693.00,10,0\r\n2006-02-06,19:34:00,3694.00,3694.00,3694.00,3694.00,46,0\r\n2006-02-06,19:35:00,3694.00,3694.00,3693.00,3693.00,107,0\r\n2006-02-06,19:36:00,3694.00,3694.00,3692.00,3692.00,118,0\r\n2006-02-06,19:37:00,3692.00,3692.00,3691.00,3691.00,206,0\r\n2006-02-06,19:38:00,3691.00,3691.00,3691.00,3691.00,61,0\r\n2006-02-06,19:39:00,3691.00,3691.00,3691.00,3691.00,13,0\r\n2006-02-06,19:40:00,3690.00,3690.00,3690.00,3690.00,14,0\r\n2006-02-06,19:41:00,3690.00,3691.00,3690.00,3691.00,100,0\r\n2006-02-06,19:42:00,3691.00,3691.00,3691.00,3691.00,36,0\r\n2006-02-06,19:43:00,3691.00,3691.00,3690.00,3691.00,234,0\r\n2006-02-06,19:44:00,3691.00,3692.00,3691.00,3692.00,47,0\r\n2006-02-06,19:45:00,3692.00,3692.00,3692.00,3692.00,8,0\r\n2006-02-06,19:46:00,3692.00,3692.00,3692.00,3692.00,74,0\r\n2006-02-06,19:47:00,3692.00,3692.00,3692.00,3692.00,50,0\r\n2006-02-06,19:48:00,3692.00,3692.00,3690.00,3690.00,1244,0\r\n2006-02-06,19:49:00,3691.00,3691.00,3691.00,3691.00,1,0\r\n2006-02-06,19:50:00,3691.00,3692.00,3691.00,3691.00,84,0\r\n2006-02-06,19:51:00,3691.00,3691.00,3688.00,3688.00,757,0\r\n2006-02-06,19:52:00,3688.00,3689.00,3687.00,3688.00,753,0\r\n2006-02-06,19:53:00,3689.00,3689.00,3688.00,3688.00,24,0\r\n2006-02-06,19:54:00,3688.00,3689.00,3688.00,3688.00,214,0\r\n2006-02-06,19:55:00,3688.00,3688.00,3687.00,3688.00,346,0\r\n2006-02-06,19:56:00,3688.00,3689.00,3688.00,3688.00,34,0\r\n2006-02-06,19:57:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-02-06,19:58:00,3688.00,3690.00,3688.00,3689.00,255,0\r\n2006-02-06,19:59:00,3689.00,3689.00,3689.00,3689.00,22,0\r\n2006-02-06,20:00:00,3690.00,3691.00,3690.00,3690.00,175,0\r\n2006-02-06,20:01:00,3689.00,3689.00,3686.00,3686.00,509,0\r\n2006-02-06,20:02:00,3686.00,3686.00,3686.00,3686.00,153,0\r\n2006-02-06,20:03:00,3685.00,3686.00,3682.00,3683.00,1216,0\r\n2006-02-06,20:04:00,3683.00,3684.00,3681.00,3683.00,282,0\r\n2006-02-06,20:05:00,3683.00,3684.00,3681.00,3683.00,530,0\r\n2006-02-06,20:06:00,3683.00,3684.00,3683.00,3684.00,107,0\r\n2006-02-06,20:07:00,3684.00,3684.00,3684.00,3684.00,59,0\r\n2006-02-06,20:08:00,3685.00,3685.00,3685.00,3685.00,138,0\r\n2006-02-06,20:09:00,3684.00,3684.00,3684.00,3684.00,101,0\r\n2006-02-06,20:11:00,3684.00,3684.00,3684.00,3684.00,10,0\r\n2006-02-06,20:12:00,3684.00,3684.00,3684.00,3684.00,46,0\r\n2006-02-06,20:13:00,3684.00,3684.00,3684.00,3684.00,131,0\r\n2006-02-06,20:14:00,3684.00,3684.00,3684.00,3684.00,21,0\r\n2006-02-06,20:15:00,3684.00,3684.00,3684.00,3684.00,54,0\r\n2006-02-06,20:16:00,3684.00,3684.00,3683.00,3683.00,20,0\r\n2006-02-06,20:18:00,3684.00,3684.00,3682.00,3684.00,165,0\r\n2006-02-06,20:20:00,3683.00,3683.00,3683.00,3683.00,114,0\r\n2006-02-06,20:21:00,3683.00,3683.00,3681.00,3682.00,615,0\r\n2006-02-06,20:22:00,3683.00,3683.00,3683.00,3683.00,15,0\r\n2006-02-06,20:23:00,3683.00,3683.00,3683.00,3683.00,33,0\r\n2006-02-06,20:24:00,3683.00,3683.00,3683.00,3683.00,1,0\r\n2006-02-06,20:25:00,3684.00,3684.00,3684.00,3684.00,22,0\r\n2006-02-06,20:26:00,3684.00,3684.00,3684.00,3684.00,6,0\r\n2006-02-06,20:27:00,3683.00,3683.00,3683.00,3683.00,29,0\r\n2006-02-06,20:29:00,3684.00,3684.00,3684.00,3684.00,5,0\r\n2006-02-06,20:31:00,3683.00,3683.00,3683.00,3683.00,46,0\r\n2006-02-06,20:32:00,3684.00,3685.00,3684.00,3685.00,138,0\r\n2006-02-06,20:33:00,3685.00,3685.00,3685.00,3685.00,5,0\r\n2006-02-06,20:34:00,3685.00,3686.00,3685.00,3685.00,43,0\r\n2006-02-06,20:36:00,3685.00,3686.00,3685.00,3685.00,38,0\r\n2006-02-06,20:37:00,3685.00,3685.00,3685.00,3685.00,148,0\r\n2006-02-06,20:38:00,3686.00,3686.00,3686.00,3686.00,81,0\r\n2006-02-06,20:39:00,3686.00,3686.00,3686.00,3686.00,42,0\r\n2006-02-06,20:40:00,3686.00,3686.00,3685.00,3685.00,46,0\r\n2006-02-06,20:41:00,3684.00,3685.00,3683.00,3685.00,42,0\r\n2006-02-06,20:42:00,3684.00,3684.00,3683.00,3683.00,19,0\r\n2006-02-06,20:43:00,3684.00,3684.00,3684.00,3684.00,30,0\r\n2006-02-06,20:44:00,3685.00,3685.00,3685.00,3685.00,58,0\r\n2006-02-06,20:46:00,3686.00,3686.00,3686.00,3686.00,83,0\r\n2006-02-06,20:47:00,3685.00,3686.00,3685.00,3686.00,39,0\r\n2006-02-06,20:48:00,3685.00,3685.00,3685.00,3685.00,26,0\r\n2006-02-06,20:49:00,3685.00,3685.00,3685.00,3685.00,1,0\r\n2006-02-06,20:51:00,3685.00,3685.00,3685.00,3685.00,15,0\r\n2006-02-06,20:53:00,3686.00,3688.00,3686.00,3688.00,119,0\r\n2006-02-06,20:54:00,3687.00,3687.00,3686.00,3686.00,62,0\r\n2006-02-06,20:55:00,3686.00,3686.00,3686.00,3686.00,3,0\r\n2006-02-06,20:56:00,3686.00,3686.00,3686.00,3686.00,10,0\r\n2006-02-06,20:57:00,3686.00,3686.00,3686.00,3686.00,9,0\r\n2006-02-06,21:01:00,3686.00,3686.00,3686.00,3686.00,12,0\r\n2006-02-06,21:02:00,3687.00,3687.00,3687.00,3687.00,20,0\r\n2006-02-06,21:03:00,3687.00,3687.00,3687.00,3687.00,279,0\r\n2006-02-06,21:05:00,3686.00,3686.00,3686.00,3686.00,57,0\r\n2006-02-06,21:06:00,3687.00,3687.00,3686.00,3687.00,167,0\r\n2006-02-06,21:07:00,3687.00,3689.00,3687.00,3688.00,182,0\r\n2006-02-06,21:08:00,3688.00,3689.00,3688.00,3689.00,53,0\r\n2006-02-06,21:09:00,3690.00,3690.00,3689.00,3689.00,60,0\r\n2006-02-06,21:12:00,3689.00,3689.00,3689.00,3689.00,3,0\r\n2006-02-06,21:13:00,3689.00,3689.00,3689.00,3689.00,29,0\r\n2006-02-06,21:14:00,3690.00,3691.00,3690.00,3690.00,40,0\r\n2006-02-06,21:15:00,3690.00,3690.00,3690.00,3690.00,10,0\r\n2006-02-06,21:16:00,3690.00,3690.00,3690.00,3690.00,5,0\r\n2006-02-06,21:17:00,3690.00,3690.00,3690.00,3690.00,7,0\r\n2006-02-06,21:18:00,3690.00,3690.00,3690.00,3690.00,4,0\r\n2006-02-06,21:19:00,3690.00,3690.00,3690.00,3690.00,10,0\r\n2006-02-06,21:20:00,3690.00,3690.00,3690.00,3690.00,15,0\r\n2006-02-06,21:21:00,3690.00,3690.00,3690.00,3690.00,12,0\r\n2006-02-06,21:22:00,3691.00,3691.00,3690.00,3690.00,26,0\r\n2006-02-06,21:23:00,3691.00,3691.00,3691.00,3691.00,23,0\r\n2006-02-06,21:28:00,3691.00,3691.00,3691.00,3691.00,2,0\r\n2006-02-06,21:29:00,3691.00,3691.00,3691.00,3691.00,10,0\r\n2006-02-06,21:30:00,3691.00,3691.00,3691.00,3691.00,9,0\r\n2006-02-06,21:31:00,3691.00,3692.00,3691.00,3692.00,30,0\r\n2006-02-06,21:32:00,3691.00,3691.00,3691.00,3691.00,9,0\r\n2006-02-06,21:33:00,3691.00,3691.00,3690.00,3690.00,65,0\r\n2006-02-06,21:34:00,3689.00,3689.00,3689.00,3689.00,20,0\r\n2006-02-06,21:35:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-02-06,21:37:00,3690.00,3690.00,3690.00,3690.00,9,0\r\n2006-02-06,21:38:00,3690.00,3690.00,3690.00,3690.00,1,0\r\n2006-02-06,21:39:00,3689.00,3689.00,3689.00,3689.00,14,0\r\n2006-02-06,21:40:00,3689.00,3689.00,3689.00,3689.00,34,0\r\n2006-02-06,21:41:00,3689.00,3689.00,3689.00,3689.00,15,0\r\n2006-02-06,21:42:00,3689.00,3689.00,3689.00,3689.00,1,0\r\n2006-02-06,21:43:00,3689.00,3690.00,3689.00,3690.00,17,0\r\n2006-02-06,21:44:00,3690.00,3690.00,3690.00,3690.00,10,0\r\n2006-02-06,21:45:00,3690.00,3691.00,3690.00,3691.00,135,0\r\n2006-02-06,21:46:00,3691.00,3691.00,3690.00,3691.00,11,0\r\n2006-02-06,21:47:00,3692.00,3692.00,3691.00,3691.00,27,0\r\n2006-02-06,21:48:00,3692.00,3692.00,3692.00,3692.00,27,0\r\n2006-02-06,21:49:00,3692.00,3692.00,3691.00,3691.00,37,0\r\n2006-02-06,21:50:00,3691.00,3691.00,3691.00,3691.00,1,0\r\n2006-02-06,21:51:00,3691.00,3691.00,3691.00,3691.00,3,0\r\n2006-02-06,21:54:00,3692.00,3692.00,3692.00,3692.00,65,0\r\n2006-02-06,21:55:00,3692.00,3692.00,3691.00,3692.00,61,0\r\n2006-02-06,21:56:00,3691.00,3691.00,3690.00,3691.00,125,0\r\n2006-02-06,21:57:00,3691.00,3691.00,3691.00,3691.00,20,0\r\n2006-02-06,21:58:00,3691.00,3691.00,3690.00,3691.00,84,0\r\n2006-02-06,21:59:00,3691.00,3693.00,3691.00,3693.00,121,0\r\n2006-02-06,22:00:00,3692.00,3693.00,3692.00,3692.00,281,0\r\n2006-02-07,09:01:00,3704.00,3706.00,3703.00,3704.00,5559,0\r\n2006-02-07,09:02:00,3704.00,3705.00,3703.00,3703.00,1379,0\r\n2006-02-07,09:03:00,3704.00,3705.00,3704.00,3705.00,777,0\r\n2006-02-07,09:04:00,3704.00,3705.00,3702.00,3702.00,1513,0\r\n2006-02-07,09:05:00,3702.00,3703.00,3701.00,3702.00,1172,0\r\n2006-02-07,09:06:00,3702.00,3703.00,3699.00,3700.00,2803,0\r\n2006-02-07,09:07:00,3700.00,3700.00,3698.00,3699.00,1230,0\r\n2006-02-07,09:08:00,3699.00,3699.00,3697.00,3699.00,1809,0\r\n2006-02-07,09:09:00,3699.00,3700.00,3699.00,3700.00,926,0\r\n2006-02-07,09:10:00,3700.00,3701.00,3699.00,3700.00,641,0\r\n2006-02-07,09:11:00,3701.00,3703.00,3700.00,3703.00,953,0\r\n2006-02-07,09:12:00,3702.00,3703.00,3701.00,3702.00,943,0\r\n2006-02-07,09:13:00,3701.00,3702.00,3701.00,3702.00,341,0\r\n2006-02-07,09:14:00,3701.00,3701.00,3699.00,3699.00,1101,0\r\n2006-02-07,09:15:00,3699.00,3700.00,3699.00,3700.00,471,0\r\n2006-02-07,09:16:00,3700.00,3700.00,3698.00,3699.00,496,0\r\n2006-02-07,09:17:00,3699.00,3700.00,3696.00,3697.00,1880,0\r\n2006-02-07,09:18:00,3697.00,3699.00,3697.00,3699.00,801,0\r\n2006-02-07,09:19:00,3699.00,3700.00,3698.00,3699.00,1176,0\r\n2006-02-07,09:20:00,3699.00,3700.00,3697.00,3698.00,599,0\r\n2006-02-07,09:21:00,3698.00,3700.00,3698.00,3700.00,1098,0\r\n2006-02-07,09:22:00,3700.00,3700.00,3698.00,3700.00,897,0\r\n2006-02-07,09:23:00,3701.00,3702.00,3700.00,3701.00,1182,0\r\n2006-02-07,09:24:00,3701.00,3703.00,3700.00,3702.00,1221,0\r\n2006-02-07,09:25:00,3701.00,3702.00,3701.00,3701.00,484,0\r\n2006-02-07,09:26:00,3702.00,3702.00,3700.00,3700.00,406,0\r\n2006-02-07,09:27:00,3700.00,3701.00,3700.00,3700.00,290,0\r\n2006-02-07,09:28:00,3701.00,3702.00,3701.00,3702.00,389,0\r\n2006-02-07,09:29:00,3701.00,3702.00,3701.00,3702.00,475,0\r\n2006-02-07,09:30:00,3702.00,3702.00,3700.00,3702.00,485,0\r\n2006-02-07,09:31:00,3702.00,3706.00,3702.00,3706.00,2245,0\r\n2006-02-07,09:32:00,3706.00,3708.00,3705.00,3707.00,7570,0\r\n2006-02-07,09:33:00,3707.00,3708.00,3706.00,3708.00,2328,0\r\n2006-02-07,09:34:00,3707.00,3707.00,3706.00,3707.00,1658,0\r\n2006-02-07,09:35:00,3707.00,3709.00,3707.00,3707.00,1563,0\r\n2006-02-07,09:36:00,3706.00,3707.00,3704.00,3704.00,1897,0\r\n2006-02-07,09:37:00,3704.00,3705.00,3703.00,3704.00,1419,0\r\n2006-02-07,09:38:00,3704.00,3704.00,3702.00,3703.00,1290,0\r\n2006-02-07,09:39:00,3704.00,3704.00,3703.00,3704.00,799,0\r\n2006-02-07,09:40:00,3704.00,3704.00,3704.00,3704.00,459,0\r\n2006-02-07,09:41:00,3703.00,3704.00,3702.00,3702.00,965,0\r\n2006-02-07,09:42:00,3702.00,3702.00,3701.00,3701.00,578,0\r\n2006-02-07,09:43:00,3701.00,3702.00,3700.00,3701.00,798,0\r\n2006-02-07,09:44:00,3702.00,3702.00,3701.00,3701.00,1021,0\r\n2006-02-07,09:45:00,3701.00,3702.00,3701.00,3701.00,603,0\r\n2006-02-07,09:46:00,3702.00,3703.00,3702.00,3703.00,129,0\r\n2006-02-07,09:47:00,3702.00,3704.00,3702.00,3704.00,346,0\r\n2006-02-07,09:48:00,3704.00,3705.00,3703.00,3703.00,505,0\r\n2006-02-07,09:49:00,3703.00,3703.00,3702.00,3702.00,461,0\r\n2006-02-07,09:50:00,3702.00,3703.00,3702.00,3703.00,133,0\r\n2006-02-07,09:51:00,3703.00,3704.00,3702.00,3702.00,523,0\r\n2006-02-07,09:52:00,3702.00,3702.00,3701.00,3701.00,479,0\r\n2006-02-07,09:53:00,3701.00,3702.00,3701.00,3701.00,337,0\r\n2006-02-07,09:54:00,3701.00,3701.00,3700.00,3700.00,525,0\r\n2006-02-07,09:55:00,3700.00,3701.00,3699.00,3699.00,522,0\r\n2006-02-07,09:56:00,3699.00,3700.00,3699.00,3699.00,576,0\r\n2006-02-07,09:57:00,3699.00,3700.00,3699.00,3700.00,204,0\r\n2006-02-07,09:58:00,3701.00,3701.00,3700.00,3700.00,597,0\r\n2006-02-07,09:59:00,3700.00,3700.00,3696.00,3697.00,3697,0\r\n2006-02-07,10:00:00,3696.00,3697.00,3694.00,3695.00,3058,0\r\n2006-02-07,10:01:00,3695.00,3696.00,3694.00,3694.00,1550,0\r\n2006-02-07,10:02:00,3694.00,3695.00,3692.00,3693.00,2876,0\r\n2006-02-07,10:03:00,3694.00,3694.00,3692.00,3693.00,712,0\r\n2006-02-07,10:04:00,3693.00,3693.00,3691.00,3692.00,1689,0\r\n2006-02-07,10:05:00,3692.00,3694.00,3692.00,3693.00,1419,0\r\n2006-02-07,10:06:00,3693.00,3694.00,3692.00,3694.00,878,0\r\n2006-02-07,10:07:00,3693.00,3695.00,3693.00,3695.00,576,0\r\n2006-02-07,10:08:00,3695.00,3696.00,3694.00,3695.00,1026,0\r\n2006-02-07,10:09:00,3695.00,3695.00,3694.00,3695.00,534,0\r\n2006-02-07,10:10:00,3694.00,3694.00,3692.00,3692.00,601,0\r\n2006-02-07,10:11:00,3692.00,3693.00,3690.00,3691.00,1797,0\r\n2006-02-07,10:12:00,3691.00,3695.00,3691.00,3694.00,1590,0\r\n2006-02-07,10:13:00,3694.00,3694.00,3693.00,3694.00,1455,0\r\n2006-02-07,10:14:00,3694.00,3695.00,3694.00,3694.00,189,0\r\n2006-02-07,10:15:00,3694.00,3694.00,3693.00,3694.00,331,0\r\n2006-02-07,10:16:00,3694.00,3694.00,3691.00,3692.00,273,0\r\n2006-02-07,10:17:00,3692.00,3693.00,3691.00,3693.00,462,0\r\n2006-02-07,10:18:00,3692.00,3692.00,3690.00,3690.00,1092,0\r\n2006-02-07,10:19:00,3691.00,3691.00,3688.00,3688.00,3041,0\r\n2006-02-07,10:20:00,3689.00,3690.00,3688.00,3689.00,3066,0\r\n2006-02-07,10:21:00,3690.00,3690.00,3688.00,3688.00,986,0\r\n2006-02-07,10:22:00,3688.00,3689.00,3684.00,3684.00,5760,0\r\n2006-02-07,10:23:00,3684.00,3686.00,3681.00,3682.00,6094,0\r\n2006-02-07,10:24:00,3682.00,3683.00,3680.00,3683.00,5308,0\r\n2006-02-07,10:25:00,3683.00,3685.00,3683.00,3684.00,1123,0\r\n2006-02-07,10:26:00,3684.00,3684.00,3681.00,3683.00,1804,0\r\n2006-02-07,10:27:00,3682.00,3684.00,3682.00,3682.00,1483,0\r\n2006-02-07,10:28:00,3683.00,3684.00,3682.00,3683.00,1116,0\r\n2006-02-07,10:29:00,3683.00,3685.00,3683.00,3683.00,1271,0\r\n2006-02-07,10:30:00,3683.00,3685.00,3683.00,3685.00,307,0\r\n2006-02-07,10:31:00,3684.00,3686.00,3683.00,3686.00,1821,0\r\n2006-02-07,10:32:00,3686.00,3686.00,3680.00,3682.00,2938,0\r\n2006-02-07,10:33:00,3682.00,3684.00,3680.00,3681.00,2799,0\r\n2006-02-07,10:34:00,3682.00,3682.00,3680.00,3681.00,2070,0\r\n2006-02-07,10:35:00,3682.00,3683.00,3679.00,3679.00,2145,0\r\n2006-02-07,10:36:00,3680.00,3680.00,3675.00,3677.00,6157,0\r\n2006-02-07,10:37:00,3676.00,3678.00,3676.00,3677.00,1857,0\r\n2006-02-07,10:38:00,3677.00,3680.00,3676.00,3679.00,1922,0\r\n2006-02-07,10:39:00,3679.00,3679.00,3678.00,3678.00,1471,0\r\n2006-02-07,10:40:00,3678.00,3681.00,3678.00,3681.00,883,0\r\n2006-02-07,10:41:00,3681.00,3682.00,3680.00,3680.00,1293,0\r\n2006-02-07,10:42:00,3680.00,3680.00,3678.00,3678.00,1170,0\r\n2006-02-07,10:43:00,3679.00,3679.00,3678.00,3678.00,733,0\r\n2006-02-07,10:44:00,3678.00,3679.00,3676.00,3677.00,1068,0\r\n2006-02-07,10:45:00,3677.00,3678.00,3675.00,3677.00,1913,0\r\n2006-02-07,10:46:00,3676.00,3677.00,3675.00,3677.00,2209,0\r\n2006-02-07,10:47:00,3677.00,3678.00,3676.00,3678.00,1110,0\r\n2006-02-07,10:48:00,3678.00,3678.00,3675.00,3676.00,1314,0\r\n2006-02-07,10:49:00,3676.00,3679.00,3676.00,3678.00,1179,0\r\n2006-02-07,10:50:00,3677.00,3678.00,3676.00,3677.00,1036,0\r\n2006-02-07,10:51:00,3676.00,3677.00,3676.00,3677.00,712,0\r\n2006-02-07,10:52:00,3677.00,3677.00,3675.00,3676.00,1002,0\r\n2006-02-07,10:53:00,3676.00,3677.00,3674.00,3676.00,3468,0\r\n2006-02-07,10:54:00,3675.00,3676.00,3675.00,3676.00,1277,0\r\n2006-02-07,10:55:00,3676.00,3677.00,3676.00,3677.00,756,0\r\n2006-02-07,10:56:00,3678.00,3679.00,3677.00,3679.00,1874,0\r\n2006-02-07,10:57:00,3679.00,3680.00,3678.00,3679.00,1346,0\r\n2006-02-07,10:58:00,3679.00,3681.00,3679.00,3680.00,1010,0\r\n2006-02-07,10:59:00,3680.00,3682.00,3679.00,3682.00,1869,0\r\n2006-02-07,11:00:00,3681.00,3682.00,3681.00,3682.00,200,0\r\n2006-02-07,11:01:00,3681.00,3682.00,3680.00,3681.00,2300,0\r\n2006-02-07,11:02:00,3680.00,3681.00,3679.00,3680.00,855,0\r\n2006-02-07,11:03:00,3680.00,3681.00,3680.00,3680.00,459,0\r\n2006-02-07,11:04:00,3680.00,3680.00,3678.00,3678.00,772,0\r\n2006-02-07,11:05:00,3679.00,3679.00,3678.00,3679.00,266,0\r\n2006-02-07,11:06:00,3680.00,3680.00,3679.00,3680.00,581,0\r\n2006-02-07,11:07:00,3680.00,3680.00,3678.00,3679.00,360,0\r\n2006-02-07,11:08:00,3679.00,3679.00,3678.00,3679.00,156,0\r\n2006-02-07,11:09:00,3680.00,3680.00,3679.00,3680.00,13,0\r\n2006-02-07,11:10:00,3679.00,3680.00,3679.00,3679.00,559,0\r\n2006-02-07,11:11:00,3678.00,3679.00,3678.00,3679.00,775,0\r\n2006-02-07,11:12:00,3680.00,3681.00,3680.00,3681.00,852,0\r\n2006-02-07,11:13:00,3681.00,3682.00,3681.00,3681.00,867,0\r\n2006-02-07,11:14:00,3681.00,3682.00,3680.00,3680.00,385,0\r\n2006-02-07,11:15:00,3681.00,3681.00,3681.00,3681.00,50,0\r\n2006-02-07,11:16:00,3682.00,3682.00,3681.00,3681.00,418,0\r\n2006-02-07,11:17:00,3681.00,3682.00,3681.00,3681.00,39,0\r\n2006-02-07,11:18:00,3682.00,3682.00,3681.00,3682.00,349,0\r\n2006-02-07,11:19:00,3682.00,3682.00,3680.00,3680.00,445,0\r\n2006-02-07,11:20:00,3680.00,3680.00,3679.00,3679.00,704,0\r\n2006-02-07,11:21:00,3680.00,3680.00,3679.00,3680.00,591,0\r\n2006-02-07,11:22:00,3680.00,3680.00,3678.00,3679.00,600,0\r\n2006-02-07,11:23:00,3678.00,3679.00,3678.00,3679.00,176,0\r\n2006-02-07,11:24:00,3679.00,3679.00,3678.00,3678.00,1254,0\r\n2006-02-07,11:25:00,3678.00,3678.00,3675.00,3676.00,2100,0\r\n2006-02-07,11:26:00,3677.00,3677.00,3675.00,3676.00,300,0\r\n2006-02-07,11:27:00,3676.00,3676.00,3675.00,3675.00,44,0\r\n2006-02-07,11:28:00,3675.00,3676.00,3675.00,3676.00,98,0\r\n2006-02-07,11:29:00,3676.00,3677.00,3675.00,3676.00,845,0\r\n2006-02-07,11:30:00,3675.00,3676.00,3674.00,3675.00,1490,0\r\n2006-02-07,11:31:00,3675.00,3677.00,3674.00,3675.00,1246,0\r\n2006-02-07,11:32:00,3675.00,3675.00,3673.00,3674.00,1865,0\r\n2006-02-07,11:33:00,3674.00,3676.00,3674.00,3676.00,1417,0\r\n2006-02-07,11:34:00,3676.00,3677.00,3675.00,3677.00,580,0\r\n2006-02-07,11:35:00,3676.00,3677.00,3675.00,3675.00,468,0\r\n2006-02-07,11:36:00,3675.00,3675.00,3674.00,3674.00,2041,0\r\n2006-02-07,11:37:00,3675.00,3676.00,3674.00,3675.00,594,0\r\n2006-02-07,11:38:00,3676.00,3677.00,3675.00,3676.00,1151,0\r\n2006-02-07,11:39:00,3676.00,3677.00,3675.00,3677.00,694,0\r\n2006-02-07,11:40:00,3676.00,3678.00,3676.00,3677.00,723,0\r\n2006-02-07,11:41:00,3677.00,3677.00,3676.00,3677.00,227,0\r\n2006-02-07,11:42:00,3676.00,3677.00,3674.00,3674.00,1317,0\r\n2006-02-07,11:43:00,3674.00,3675.00,3674.00,3675.00,439,0\r\n2006-02-07,11:44:00,3675.00,3675.00,3673.00,3674.00,563,0\r\n2006-02-07,11:45:00,3674.00,3675.00,3674.00,3675.00,1318,0\r\n2006-02-07,11:46:00,3675.00,3675.00,3675.00,3675.00,22,0\r\n2006-02-07,11:47:00,3675.00,3676.00,3675.00,3675.00,7401,0\r\n2006-02-07,11:48:00,3675.00,3676.00,3674.00,3675.00,841,0\r\n2006-02-07,11:49:00,3675.00,3676.00,3675.00,3675.00,105,0\r\n2006-02-07,11:50:00,3675.00,3676.00,3673.00,3673.00,1096,0\r\n2006-02-07,11:51:00,3674.00,3676.00,3673.00,3675.00,642,0\r\n2006-02-07,11:52:00,3675.00,3676.00,3675.00,3675.00,631,0\r\n2006-02-07,11:53:00,3675.00,3676.00,3674.00,3674.00,634,0\r\n2006-02-07,11:54:00,3674.00,3675.00,3674.00,3674.00,226,0\r\n2006-02-07,11:55:00,3674.00,3674.00,3673.00,3673.00,991,0\r\n2006-02-07,11:56:00,3673.00,3675.00,3673.00,3675.00,331,0\r\n2006-02-07,11:57:00,3675.00,3676.00,3675.00,3676.00,264,0\r\n2006-02-07,11:58:00,3676.00,3677.00,3676.00,3677.00,671,0\r\n2006-02-07,11:59:00,3677.00,3677.00,3676.00,3676.00,746,0\r\n2006-02-07,12:00:00,3677.00,3678.00,3676.00,3677.00,737,0\r\n2006-02-07,12:01:00,3678.00,3679.00,3677.00,3678.00,1575,0\r\n2006-02-07,12:02:00,3677.00,3678.00,3677.00,3678.00,321,0\r\n2006-02-07,12:03:00,3678.00,3678.00,3677.00,3677.00,390,0\r\n2006-02-07,12:04:00,3677.00,3678.00,3677.00,3677.00,432,0\r\n2006-02-07,12:05:00,3677.00,3678.00,3677.00,3677.00,380,0\r\n2006-02-07,12:06:00,3676.00,3678.00,3676.00,3677.00,235,0\r\n2006-02-07,12:07:00,3677.00,3678.00,3676.00,3676.00,214,0\r\n2006-02-07,12:08:00,3677.00,3678.00,3676.00,3677.00,416,0\r\n2006-02-07,12:09:00,3677.00,3678.00,3677.00,3677.00,156,0\r\n2006-02-07,12:10:00,3677.00,3678.00,3677.00,3677.00,46,0\r\n2006-02-07,12:11:00,3678.00,3678.00,3677.00,3677.00,5419,0\r\n2006-02-07,12:12:00,3678.00,3679.00,3678.00,3679.00,2011,0\r\n2006-02-07,12:13:00,3678.00,3680.00,3678.00,3678.00,1237,0\r\n2006-02-07,12:14:00,3679.00,3679.00,3677.00,3677.00,1326,0\r\n2006-02-07,12:15:00,3677.00,3678.00,3676.00,3676.00,1693,0\r\n2006-02-07,12:16:00,3677.00,3677.00,3675.00,3675.00,370,0\r\n2006-02-07,12:17:00,3676.00,3676.00,3674.00,3675.00,1467,0\r\n2006-02-07,12:18:00,3675.00,3675.00,3673.00,3673.00,1246,0\r\n2006-02-07,12:19:00,3674.00,3674.00,3673.00,3673.00,403,0\r\n2006-02-07,12:20:00,3673.00,3674.00,3672.00,3673.00,1688,0\r\n2006-02-07,12:21:00,3672.00,3673.00,3671.00,3671.00,1628,0\r\n2006-02-07,12:22:00,3671.00,3672.00,3670.00,3672.00,3852,0\r\n2006-02-07,12:23:00,3672.00,3673.00,3671.00,3671.00,558,0\r\n2006-02-07,12:24:00,3672.00,3672.00,3671.00,3671.00,541,0\r\n2006-02-07,12:25:00,3671.00,3672.00,3671.00,3671.00,1454,0\r\n2006-02-07,12:26:00,3672.00,3673.00,3672.00,3672.00,1328,0\r\n2006-02-07,12:27:00,3672.00,3673.00,3671.00,3672.00,1200,0\r\n2006-02-07,12:28:00,3672.00,3672.00,3672.00,3672.00,70,0\r\n2006-02-07,12:29:00,3672.00,3674.00,3672.00,3674.00,888,0\r\n2006-02-07,12:30:00,3674.00,3674.00,3673.00,3674.00,914,0\r\n2006-02-07,12:31:00,3674.00,3674.00,3673.00,3674.00,327,0\r\n2006-02-07,12:32:00,3674.00,3674.00,3673.00,3673.00,29,0\r\n2006-02-07,12:33:00,3673.00,3676.00,3673.00,3675.00,1208,0\r\n2006-02-07,12:34:00,3676.00,3676.00,3675.00,3676.00,38,0\r\n2006-02-07,12:35:00,3675.00,3676.00,3675.00,3676.00,12,0\r\n2006-02-07,12:36:00,3675.00,3676.00,3675.00,3676.00,82,0\r\n2006-02-07,12:37:00,3675.00,3676.00,3675.00,3675.00,46,0\r\n2006-02-07,12:38:00,3675.00,3677.00,3675.00,3676.00,627,0\r\n2006-02-07,12:39:00,3676.00,3677.00,3676.00,3676.00,1374,0\r\n2006-02-07,12:40:00,3676.00,3676.00,3675.00,3675.00,15,0\r\n2006-02-07,12:41:00,3675.00,3676.00,3675.00,3676.00,258,0\r\n2006-02-07,12:42:00,3676.00,3676.00,3675.00,3676.00,46,0\r\n2006-02-07,12:43:00,3676.00,3677.00,3675.00,3675.00,173,0\r\n2006-02-07,12:44:00,3676.00,3677.00,3675.00,3677.00,1018,0\r\n2006-02-07,12:45:00,3678.00,3679.00,3677.00,3678.00,758,0\r\n2006-02-07,12:46:00,3678.00,3680.00,3678.00,3680.00,784,0\r\n2006-02-07,12:47:00,3680.00,3680.00,3679.00,3679.00,766,0\r\n2006-02-07,12:48:00,3679.00,3679.00,3678.00,3678.00,513,0\r\n2006-02-07,12:49:00,3678.00,3679.00,3678.00,3678.00,194,0\r\n2006-02-07,12:50:00,3679.00,3679.00,3678.00,3678.00,535,0\r\n2006-02-07,12:51:00,3678.00,3678.00,3677.00,3677.00,202,0\r\n2006-02-07,12:52:00,3677.00,3677.00,3676.00,3677.00,122,0\r\n2006-02-07,12:53:00,3677.00,3677.00,3676.00,3677.00,151,0\r\n2006-02-07,12:54:00,3677.00,3677.00,3677.00,3677.00,178,0\r\n2006-02-07,12:55:00,3677.00,3677.00,3676.00,3676.00,76,0\r\n2006-02-07,12:56:00,3677.00,3677.00,3676.00,3677.00,99,0\r\n2006-02-07,12:57:00,3677.00,3677.00,3676.00,3676.00,100,0\r\n2006-02-07,12:58:00,3676.00,3677.00,3676.00,3677.00,627,0\r\n2006-02-07,12:59:00,3677.00,3677.00,3675.00,3675.00,298,0\r\n2006-02-07,13:00:00,3675.00,3676.00,3675.00,3675.00,1027,0\r\n2006-02-07,13:01:00,3675.00,3676.00,3675.00,3676.00,131,0\r\n2006-02-07,13:02:00,3676.00,3677.00,3676.00,3676.00,7,0\r\n2006-02-07,13:04:00,3677.00,3677.00,3677.00,3677.00,47,0\r\n2006-02-07,13:05:00,3676.00,3676.00,3676.00,3676.00,280,0\r\n2006-02-07,13:06:00,3676.00,3677.00,3676.00,3676.00,488,0\r\n2006-02-07,13:07:00,3676.00,3676.00,3675.00,3676.00,147,0\r\n2006-02-07,13:08:00,3676.00,3676.00,3675.00,3675.00,78,0\r\n2006-02-07,13:09:00,3675.00,3676.00,3675.00,3675.00,21,0\r\n2006-02-07,13:10:00,3675.00,3676.00,3675.00,3675.00,36,0\r\n2006-02-07,13:11:00,3675.00,3676.00,3675.00,3676.00,143,0\r\n2006-02-07,13:12:00,3676.00,3676.00,3676.00,3676.00,322,0\r\n2006-02-07,13:13:00,3676.00,3676.00,3676.00,3676.00,5,0\r\n2006-02-07,13:14:00,3676.00,3676.00,3676.00,3676.00,135,0\r\n2006-02-07,13:15:00,3677.00,3677.00,3676.00,3676.00,144,0\r\n2006-02-07,13:16:00,3676.00,3677.00,3676.00,3677.00,41,0\r\n2006-02-07,13:17:00,3676.00,3677.00,3676.00,3677.00,47,0\r\n2006-02-07,13:18:00,3676.00,3677.00,3676.00,3677.00,20,0\r\n2006-02-07,13:19:00,3676.00,3677.00,3676.00,3677.00,254,0\r\n2006-02-07,13:20:00,3677.00,3678.00,3677.00,3678.00,541,0\r\n2006-02-07,13:21:00,3678.00,3678.00,3676.00,3677.00,161,0\r\n2006-02-07,13:22:00,3677.00,3678.00,3677.00,3677.00,95,0\r\n2006-02-07,13:23:00,3677.00,3677.00,3677.00,3677.00,149,0\r\n2006-02-07,13:24:00,3677.00,3677.00,3676.00,3677.00,156,0\r\n2006-02-07,13:25:00,3677.00,3677.00,3676.00,3676.00,4,0\r\n2006-02-07,13:26:00,3676.00,3676.00,3676.00,3676.00,401,0\r\n2006-02-07,13:27:00,3676.00,3676.00,3675.00,3676.00,65,0\r\n2006-02-07,13:28:00,3676.00,3677.00,3675.00,3677.00,426,0\r\n2006-02-07,13:29:00,3676.00,3676.00,3676.00,3676.00,9,0\r\n2006-02-07,13:30:00,3676.00,3676.00,3676.00,3676.00,58,0\r\n2006-02-07,13:31:00,3677.00,3677.00,3676.00,3676.00,175,0\r\n2006-02-07,13:32:00,3677.00,3677.00,3676.00,3677.00,44,0\r\n2006-02-07,13:33:00,3676.00,3677.00,3676.00,3676.00,9,0\r\n2006-02-07,13:34:00,3676.00,3677.00,3676.00,3676.00,16,0\r\n2006-02-07,13:35:00,3677.00,3677.00,3676.00,3676.00,184,0\r\n2006-02-07,13:36:00,3676.00,3677.00,3676.00,3676.00,51,0\r\n2006-02-07,13:37:00,3677.00,3678.00,3676.00,3677.00,191,0\r\n2006-02-07,13:38:00,3677.00,3677.00,3676.00,3676.00,147,0\r\n2006-02-07,13:39:00,3676.00,3676.00,3676.00,3676.00,9,0\r\n2006-02-07,13:40:00,3677.00,3677.00,3675.00,3675.00,369,0\r\n2006-02-07,13:41:00,3675.00,3675.00,3675.00,3675.00,26,0\r\n2006-02-07,13:42:00,3676.00,3676.00,3675.00,3676.00,400,0\r\n2006-02-07,13:43:00,3675.00,3675.00,3675.00,3675.00,12,0\r\n2006-02-07,13:44:00,3675.00,3675.00,3674.00,3674.00,615,0\r\n2006-02-07,13:45:00,3674.00,3674.00,3673.00,3673.00,480,0\r\n2006-02-07,13:46:00,3673.00,3674.00,3672.00,3673.00,702,0\r\n2006-02-07,13:47:00,3673.00,3673.00,3672.00,3672.00,213,0\r\n2006-02-07,13:48:00,3672.00,3672.00,3670.00,3671.00,2471,0\r\n2006-02-07,13:49:00,3670.00,3671.00,3667.00,3667.00,2408,0\r\n2006-02-07,13:50:00,3668.00,3669.00,3666.00,3669.00,3309,0\r\n2006-02-07,13:51:00,3670.00,3671.00,3669.00,3670.00,809,0\r\n2006-02-07,13:52:00,3670.00,3671.00,3670.00,3671.00,232,0\r\n2006-02-07,13:53:00,3670.00,3671.00,3670.00,3670.00,374,0\r\n2006-02-07,13:54:00,3671.00,3672.00,3670.00,3672.00,1589,0\r\n2006-02-07,13:55:00,3671.00,3672.00,3671.00,3672.00,650,0\r\n2006-02-07,13:56:00,3672.00,3672.00,3671.00,3672.00,190,0\r\n2006-02-07,13:57:00,3672.00,3673.00,3672.00,3672.00,902,0\r\n2006-02-07,13:58:00,3672.00,3673.00,3672.00,3672.00,92,0\r\n2006-02-07,13:59:00,3671.00,3672.00,3671.00,3671.00,143,0\r\n2006-02-07,14:00:00,3671.00,3672.00,3671.00,3672.00,129,0\r\n2006-02-07,14:01:00,3671.00,3673.00,3671.00,3672.00,191,0\r\n2006-02-07,14:02:00,3672.00,3673.00,3672.00,3672.00,1104,0\r\n2006-02-07,14:03:00,3672.00,3672.00,3671.00,3671.00,240,0\r\n2006-02-07,14:04:00,3672.00,3672.00,3672.00,3672.00,94,0\r\n2006-02-07,14:05:00,3673.00,3673.00,3671.00,3672.00,558,0\r\n2006-02-07,14:06:00,3672.00,3672.00,3671.00,3671.00,726,0\r\n2006-02-07,14:07:00,3671.00,3671.00,3671.00,3671.00,378,0\r\n2006-02-07,14:08:00,3671.00,3671.00,3670.00,3671.00,536,0\r\n2006-02-07,14:09:00,3671.00,3671.00,3670.00,3670.00,258,0\r\n2006-02-07,14:10:00,3670.00,3671.00,3670.00,3671.00,293,0\r\n2006-02-07,14:11:00,3670.00,3670.00,3668.00,3669.00,711,0\r\n2006-02-07,14:12:00,3669.00,3670.00,3669.00,3670.00,275,0\r\n2006-02-07,14:13:00,3669.00,3670.00,3669.00,3670.00,20,0\r\n2006-02-07,14:14:00,3669.00,3670.00,3669.00,3669.00,702,0\r\n2006-02-07,14:15:00,3669.00,3669.00,3667.00,3668.00,515,0\r\n2006-02-07,14:16:00,3668.00,3668.00,3668.00,3668.00,273,0\r\n2006-02-07,14:17:00,3668.00,3668.00,3666.00,3668.00,1355,0\r\n2006-02-07,14:18:00,3667.00,3668.00,3666.00,3667.00,1027,0\r\n2006-02-07,14:19:00,3668.00,3669.00,3668.00,3668.00,344,0\r\n2006-02-07,14:20:00,3667.00,3669.00,3667.00,3668.00,1889,0\r\n2006-02-07,14:21:00,3667.00,3668.00,3667.00,3668.00,16,0\r\n2006-02-07,14:22:00,3667.00,3667.00,3664.00,3665.00,1527,0\r\n2006-02-07,14:23:00,3665.00,3667.00,3665.00,3667.00,829,0\r\n2006-02-07,14:24:00,3666.00,3667.00,3665.00,3665.00,346,0\r\n2006-02-07,14:25:00,3666.00,3667.00,3665.00,3667.00,287,0\r\n2006-02-07,14:26:00,3667.00,3668.00,3667.00,3668.00,1016,0\r\n2006-02-07,14:27:00,3668.00,3669.00,3668.00,3668.00,659,0\r\n2006-02-07,14:28:00,3667.00,3669.00,3667.00,3669.00,830,0\r\n2006-02-07,14:29:00,3668.00,3668.00,3668.00,3668.00,129,0\r\n2006-02-07,14:30:00,3668.00,3669.00,3668.00,3669.00,261,0\r\n2006-02-07,14:31:00,3668.00,3669.00,3668.00,3668.00,488,0\r\n2006-02-07,14:32:00,3667.00,3670.00,3666.00,3669.00,1908,0\r\n2006-02-07,14:33:00,3669.00,3673.00,3669.00,3672.00,2254,0\r\n2006-02-07,14:34:00,3672.00,3674.00,3671.00,3673.00,975,0\r\n2006-02-07,14:35:00,3674.00,3676.00,3674.00,3674.00,2506,0\r\n2006-02-07,14:36:00,3674.00,3675.00,3673.00,3674.00,862,0\r\n2006-02-07,14:37:00,3674.00,3675.00,3674.00,3674.00,160,0\r\n2006-02-07,14:38:00,3674.00,3674.00,3673.00,3674.00,397,0\r\n2006-02-07,14:39:00,3674.00,3675.00,3674.00,3674.00,343,0\r\n2006-02-07,14:40:00,3674.00,3676.00,3674.00,3675.00,2213,0\r\n2006-02-07,14:41:00,3675.00,3676.00,3675.00,3675.00,839,0\r\n2006-02-07,14:42:00,3675.00,3677.00,3675.00,3676.00,437,0\r\n2006-02-07,14:43:00,3676.00,3677.00,3675.00,3676.00,526,0\r\n2006-02-07,14:44:00,3676.00,3677.00,3676.00,3676.00,293,0\r\n2006-02-07,14:45:00,3676.00,3676.00,3674.00,3674.00,558,0\r\n2006-02-07,14:46:00,3674.00,3675.00,3674.00,3675.00,109,0\r\n2006-02-07,14:47:00,3674.00,3675.00,3674.00,3675.00,1721,0\r\n2006-02-07,14:48:00,3675.00,3675.00,3674.00,3674.00,37,0\r\n2006-02-07,14:49:00,3674.00,3674.00,3673.00,3673.00,695,0\r\n2006-02-07,14:50:00,3673.00,3675.00,3673.00,3674.00,1614,0\r\n2006-02-07,14:51:00,3675.00,3675.00,3674.00,3675.00,441,0\r\n2006-02-07,14:52:00,3676.00,3677.00,3676.00,3677.00,680,0\r\n2006-02-07,14:53:00,3677.00,3677.00,3676.00,3676.00,693,0\r\n2006-02-07,14:54:00,3676.00,3676.00,3675.00,3676.00,305,0\r\n2006-02-07,14:55:00,3677.00,3677.00,3676.00,3677.00,175,0\r\n2006-02-07,14:56:00,3677.00,3677.00,3676.00,3676.00,305,0\r\n2006-02-07,14:57:00,3676.00,3677.00,3675.00,3675.00,444,0\r\n2006-02-07,14:58:00,3676.00,3676.00,3675.00,3675.00,1981,0\r\n2006-02-07,14:59:00,3675.00,3675.00,3674.00,3674.00,718,0\r\n2006-02-07,15:00:00,3674.00,3676.00,3674.00,3675.00,706,0\r\n2006-02-07,15:01:00,3676.00,3676.00,3674.00,3675.00,576,0\r\n2006-02-07,15:02:00,3675.00,3676.00,3675.00,3675.00,753,0\r\n2006-02-07,15:03:00,3674.00,3675.00,3674.00,3674.00,83,0\r\n2006-02-07,15:04:00,3674.00,3674.00,3673.00,3673.00,717,0\r\n2006-02-07,15:05:00,3673.00,3674.00,3673.00,3673.00,138,0\r\n2006-02-07,15:06:00,3674.00,3675.00,3674.00,3674.00,783,0\r\n2006-02-07,15:07:00,3674.00,3674.00,3673.00,3674.00,188,0\r\n2006-02-07,15:08:00,3674.00,3674.00,3673.00,3673.00,79,0\r\n2006-02-07,15:09:00,3674.00,3675.00,3673.00,3673.00,243,0\r\n2006-02-07,15:10:00,3674.00,3674.00,3673.00,3674.00,670,0\r\n2006-02-07,15:11:00,3674.00,3675.00,3673.00,3675.00,489,0\r\n2006-02-07,15:12:00,3675.00,3675.00,3674.00,3675.00,299,0\r\n2006-02-07,15:13:00,3676.00,3676.00,3675.00,3676.00,14,0\r\n2006-02-07,15:14:00,3676.00,3676.00,3675.00,3675.00,12,0\r\n2006-02-07,15:15:00,3676.00,3676.00,3675.00,3676.00,16,0\r\n2006-02-07,15:16:00,3675.00,3675.00,3674.00,3675.00,749,0\r\n2006-02-07,15:17:00,3676.00,3677.00,3675.00,3676.00,534,0\r\n2006-02-07,15:18:00,3676.00,3677.00,3675.00,3677.00,421,0\r\n2006-02-07,15:19:00,3677.00,3678.00,3676.00,3677.00,1283,0\r\n2006-02-07,15:20:00,3677.00,3677.00,3676.00,3677.00,1423,0\r\n2006-02-07,15:21:00,3677.00,3678.00,3677.00,3677.00,544,0\r\n2006-02-07,15:22:00,3677.00,3678.00,3677.00,3677.00,228,0\r\n2006-02-07,15:23:00,3678.00,3680.00,3677.00,3677.00,6273,0\r\n2006-02-07,15:24:00,3678.00,3678.00,3676.00,3677.00,1054,0\r\n2006-02-07,15:25:00,3676.00,3677.00,3676.00,3677.00,988,0\r\n2006-02-07,15:26:00,3677.00,3677.00,3676.00,3676.00,427,0\r\n2006-02-07,15:27:00,3676.00,3677.00,3676.00,3676.00,1200,0\r\n2006-02-07,15:28:00,3676.00,3676.00,3676.00,3676.00,549,0\r\n2006-02-07,15:29:00,3675.00,3678.00,3675.00,3677.00,702,0\r\n2006-02-07,15:30:00,3677.00,3678.00,3677.00,3677.00,1259,0\r\n2006-02-07,15:31:00,3677.00,3678.00,3676.00,3677.00,92,0\r\n2006-02-07,15:32:00,3676.00,3677.00,3676.00,3677.00,348,0\r\n2006-02-07,15:33:00,3677.00,3679.00,3677.00,3679.00,829,0\r\n2006-02-07,15:34:00,3679.00,3680.00,3677.00,3677.00,1709,0\r\n2006-02-07,15:35:00,3677.00,3677.00,3675.00,3675.00,3896,0\r\n2006-02-07,15:36:00,3675.00,3676.00,3673.00,3673.00,2469,0\r\n2006-02-07,15:37:00,3673.00,3675.00,3673.00,3675.00,713,0\r\n2006-02-07,15:38:00,3675.00,3676.00,3675.00,3676.00,840,0\r\n2006-02-07,15:39:00,3675.00,3676.00,3674.00,3675.00,1053,0\r\n2006-02-07,15:40:00,3674.00,3678.00,3674.00,3678.00,1300,0\r\n2006-02-07,15:41:00,3677.00,3678.00,3676.00,3676.00,1885,0\r\n2006-02-07,15:42:00,3676.00,3679.00,3676.00,3679.00,725,0\r\n2006-02-07,15:43:00,3679.00,3682.00,3678.00,3682.00,3403,0\r\n2006-02-07,15:44:00,3681.00,3684.00,3681.00,3684.00,3869,0\r\n2006-02-07,15:45:00,3684.00,3685.00,3683.00,3684.00,1590,0\r\n2006-02-07,15:46:00,3685.00,3685.00,3682.00,3682.00,2109,0\r\n2006-02-07,15:47:00,3683.00,3687.00,3683.00,3687.00,3226,0\r\n2006-02-07,15:48:00,3686.00,3690.00,3685.00,3690.00,6840,0\r\n2006-02-07,15:49:00,3690.00,3694.00,3690.00,3692.00,8062,0\r\n2006-02-07,15:50:00,3692.00,3693.00,3689.00,3690.00,4802,0\r\n2006-02-07,15:51:00,3690.00,3691.00,3689.00,3690.00,2511,0\r\n2006-02-07,15:52:00,3689.00,3693.00,3689.00,3692.00,3208,0\r\n2006-02-07,15:53:00,3693.00,3694.00,3690.00,3690.00,2942,0\r\n2006-02-07,15:54:00,3690.00,3691.00,3688.00,3689.00,3019,0\r\n2006-02-07,15:55:00,3689.00,3690.00,3688.00,3690.00,1296,0\r\n2006-02-07,15:56:00,3689.00,3691.00,3689.00,3691.00,2061,0\r\n2006-02-07,15:57:00,3691.00,3691.00,3688.00,3689.00,2880,0\r\n2006-02-07,15:58:00,3688.00,3688.00,3687.00,3688.00,1595,0\r\n2006-02-07,15:59:00,3688.00,3690.00,3687.00,3689.00,1932,0\r\n2006-02-07,16:00:00,3688.00,3689.00,3687.00,3688.00,1768,0\r\n2006-02-07,16:01:00,3688.00,3688.00,3686.00,3688.00,1972,0\r\n2006-02-07,16:02:00,3688.00,3691.00,3687.00,3691.00,1475,0\r\n2006-02-07,16:03:00,3691.00,3693.00,3690.00,3691.00,2967,0\r\n2006-02-07,16:04:00,3691.00,3692.00,3689.00,3691.00,1975,0\r\n2006-02-07,16:05:00,3691.00,3692.00,3690.00,3690.00,1486,0\r\n2006-02-07,16:06:00,3690.00,3693.00,3690.00,3690.00,1275,0\r\n2006-02-07,16:07:00,3690.00,3691.00,3689.00,3691.00,1433,0\r\n2006-02-07,16:08:00,3691.00,3693.00,3690.00,3691.00,2069,0\r\n2006-02-07,16:09:00,3691.00,3692.00,3690.00,3691.00,962,0\r\n2006-02-07,16:10:00,3692.00,3693.00,3691.00,3693.00,2220,0\r\n2006-02-07,16:11:00,3692.00,3693.00,3690.00,3690.00,1537,0\r\n2006-02-07,16:12:00,3690.00,3691.00,3688.00,3689.00,1815,0\r\n2006-02-07,16:13:00,3689.00,3691.00,3688.00,3691.00,1474,0\r\n2006-02-07,16:14:00,3691.00,3691.00,3689.00,3690.00,1086,0\r\n2006-02-07,16:15:00,3690.00,3690.00,3688.00,3688.00,993,0\r\n2006-02-07,16:16:00,3687.00,3689.00,3687.00,3689.00,995,0\r\n2006-02-07,16:17:00,3690.00,3690.00,3689.00,3689.00,423,0\r\n2006-02-07,16:18:00,3689.00,3689.00,3689.00,3689.00,764,0\r\n2006-02-07,16:19:00,3688.00,3689.00,3687.00,3688.00,1669,0\r\n2006-02-07,16:20:00,3687.00,3688.00,3685.00,3686.00,1847,0\r\n2006-02-07,16:21:00,3686.00,3686.00,3683.00,3683.00,2038,0\r\n2006-02-07,16:22:00,3684.00,3686.00,3683.00,3686.00,2217,0\r\n2006-02-07,16:23:00,3686.00,3686.00,3683.00,3684.00,3028,0\r\n2006-02-07,16:24:00,3684.00,3685.00,3682.00,3682.00,3689,0\r\n2006-02-07,16:25:00,3682.00,3683.00,3679.00,3680.00,4791,0\r\n2006-02-07,16:26:00,3681.00,3681.00,3677.00,3679.00,2687,0\r\n2006-02-07,16:27:00,3678.00,3680.00,3678.00,3680.00,1920,0\r\n2006-02-07,16:28:00,3680.00,3682.00,3680.00,3681.00,993,0\r\n2006-02-07,16:29:00,3681.00,3684.00,3681.00,3683.00,2570,0\r\n2006-02-07,16:30:00,3683.00,3684.00,3680.00,3681.00,2588,0\r\n2006-02-07,16:31:00,3682.00,3684.00,3681.00,3684.00,754,0\r\n2006-02-07,16:32:00,3683.00,3685.00,3683.00,3685.00,1785,0\r\n2006-02-07,16:33:00,3684.00,3684.00,3683.00,3683.00,399,0\r\n2006-02-07,16:34:00,3683.00,3685.00,3682.00,3684.00,1728,0\r\n2006-02-07,16:35:00,3684.00,3686.00,3684.00,3686.00,1509,0\r\n2006-02-07,16:36:00,3686.00,3687.00,3684.00,3685.00,1479,0\r\n2006-02-07,16:37:00,3685.00,3686.00,3684.00,3685.00,1164,0\r\n2006-02-07,16:38:00,3684.00,3684.00,3682.00,3683.00,1052,0\r\n2006-02-07,16:39:00,3684.00,3685.00,3683.00,3684.00,898,0\r\n2006-02-07,16:40:00,3683.00,3684.00,3679.00,3679.00,2395,0\r\n2006-02-07,16:41:00,3680.00,3680.00,3675.00,3676.00,4923,0\r\n2006-02-07,16:42:00,3676.00,3677.00,3673.00,3673.00,3590,0\r\n2006-02-07,16:43:00,3674.00,3674.00,3671.00,3673.00,5079,0\r\n2006-02-07,16:44:00,3672.00,3675.00,3671.00,3672.00,3079,0\r\n2006-02-07,16:45:00,3673.00,3676.00,3673.00,3675.00,3508,0\r\n2006-02-07,16:46:00,3674.00,3674.00,3672.00,3674.00,2386,0\r\n2006-02-07,16:47:00,3674.00,3676.00,3674.00,3675.00,1612,0\r\n2006-02-07,16:48:00,3675.00,3676.00,3675.00,3676.00,1909,0\r\n2006-02-07,16:49:00,3675.00,3676.00,3674.00,3674.00,1261,0\r\n2006-02-07,16:50:00,3674.00,3677.00,3674.00,3677.00,1083,0\r\n2006-02-07,16:51:00,3677.00,3679.00,3676.00,3676.00,1938,0\r\n2006-02-07,16:52:00,3676.00,3677.00,3675.00,3675.00,1311,0\r\n2006-02-07,16:53:00,3675.00,3676.00,3673.00,3673.00,1040,0\r\n2006-02-07,16:54:00,3674.00,3677.00,3673.00,3676.00,1791,0\r\n2006-02-07,16:55:00,3675.00,3677.00,3675.00,3676.00,648,0\r\n2006-02-07,16:56:00,3677.00,3678.00,3676.00,3678.00,2520,0\r\n2006-02-07,16:57:00,3678.00,3680.00,3678.00,3680.00,1095,0\r\n2006-02-07,16:58:00,3680.00,3680.00,3678.00,3680.00,1233,0\r\n2006-02-07,16:59:00,3680.00,3680.00,3679.00,3680.00,462,0\r\n2006-02-07,17:00:00,3679.00,3681.00,3679.00,3679.00,1435,0\r\n2006-02-07,17:01:00,3679.00,3681.00,3678.00,3681.00,1489,0\r\n2006-02-07,17:02:00,3680.00,3685.00,3680.00,3684.00,3086,0\r\n2006-02-07,17:03:00,3684.00,3689.00,3684.00,3687.00,3691,0\r\n2006-02-07,17:04:00,3687.00,3688.00,3686.00,3687.00,1486,0\r\n2006-02-07,17:05:00,3686.00,3687.00,3685.00,3685.00,1351,0\r\n2006-02-07,17:06:00,3685.00,3688.00,3685.00,3688.00,2131,0\r\n2006-02-07,17:07:00,3688.00,3688.00,3686.00,3686.00,1053,0\r\n2006-02-07,17:08:00,3686.00,3686.00,3685.00,3685.00,3009,0\r\n2006-02-07,17:09:00,3685.00,3685.00,3683.00,3683.00,1817,0\r\n2006-02-07,17:10:00,3683.00,3684.00,3683.00,3683.00,304,0\r\n2006-02-07,17:11:00,3683.00,3686.00,3683.00,3686.00,1428,0\r\n2006-02-07,17:12:00,3686.00,3686.00,3683.00,3684.00,947,0\r\n2006-02-07,17:13:00,3683.00,3686.00,3683.00,3685.00,1018,0\r\n2006-02-07,17:14:00,3685.00,3685.00,3685.00,3685.00,313,0\r\n2006-02-07,17:15:00,3685.00,3685.00,3683.00,3683.00,873,0\r\n2006-02-07,17:16:00,3683.00,3683.00,3681.00,3682.00,2183,0\r\n2006-02-07,17:17:00,3682.00,3682.00,3681.00,3682.00,561,0\r\n2006-02-07,17:18:00,3682.00,3682.00,3681.00,3682.00,347,0\r\n2006-02-07,17:19:00,3682.00,3683.00,3680.00,3681.00,974,0\r\n2006-02-07,17:20:00,3681.00,3683.00,3680.00,3683.00,1357,0\r\n2006-02-07,17:21:00,3683.00,3683.00,3681.00,3681.00,354,0\r\n2006-02-07,17:22:00,3682.00,3684.00,3682.00,3684.00,743,0\r\n2006-02-07,17:23:00,3684.00,3686.00,3683.00,3685.00,1252,0\r\n2006-02-07,17:24:00,3685.00,3689.00,3685.00,3689.00,3355,0\r\n2006-02-07,17:25:00,3689.00,3690.00,3688.00,3688.00,1383,0\r\n2006-02-07,17:26:00,3689.00,3690.00,3688.00,3689.00,1377,0\r\n2006-02-07,17:27:00,3689.00,3690.00,3688.00,3690.00,2148,0\r\n2006-02-07,17:28:00,3690.00,3692.00,3689.00,3691.00,3293,0\r\n2006-02-07,17:29:00,3691.00,3691.00,3689.00,3690.00,1784,0\r\n2006-02-07,17:30:00,3690.00,3691.00,3689.00,3689.00,2415,0\r\n2006-02-07,17:31:00,3690.00,3691.00,3689.00,3690.00,3314,0\r\n2006-02-07,17:32:00,3690.00,3691.00,3690.00,3691.00,939,0\r\n2006-02-07,17:33:00,3692.00,3692.00,3690.00,3691.00,1443,0\r\n2006-02-07,17:34:00,3691.00,3692.00,3691.00,3691.00,2349,0\r\n2006-02-07,17:35:00,3691.00,3691.00,3690.00,3690.00,1548,0\r\n2006-02-07,17:36:00,3689.00,3690.00,3689.00,3689.00,774,0\r\n2006-02-07,17:37:00,3690.00,3690.00,3689.00,3690.00,1515,0\r\n2006-02-07,17:38:00,3689.00,3690.00,3689.00,3689.00,312,0\r\n2006-02-07,17:39:00,3689.00,3689.00,3685.00,3685.00,2303,0\r\n2006-02-07,17:40:00,3686.00,3688.00,3686.00,3688.00,771,0\r\n2006-02-07,17:41:00,3688.00,3689.00,3687.00,3688.00,1829,0\r\n2006-02-07,17:42:00,3688.00,3690.00,3688.00,3690.00,391,0\r\n2006-02-07,17:43:00,3689.00,3689.00,3687.00,3687.00,607,0\r\n2006-02-07,17:44:00,3687.00,3688.00,3685.00,3686.00,2066,0\r\n2006-02-07,17:45:00,3686.00,3687.00,3684.00,3685.00,669,0\r\n2006-02-07,17:46:00,3686.00,3688.00,3686.00,3688.00,1022,0\r\n2006-02-07,17:47:00,3687.00,3688.00,3686.00,3687.00,558,0\r\n2006-02-07,17:48:00,3686.00,3687.00,3686.00,3686.00,616,0\r\n2006-02-07,17:49:00,3685.00,3686.00,3684.00,3686.00,1014,0\r\n2006-02-07,17:50:00,3686.00,3686.00,3684.00,3685.00,242,0\r\n2006-02-07,17:51:00,3684.00,3686.00,3684.00,3684.00,1078,0\r\n2006-02-07,17:52:00,3684.00,3684.00,3683.00,3683.00,348,0\r\n2006-02-07,17:53:00,3683.00,3684.00,3682.00,3684.00,708,0\r\n2006-02-07,17:54:00,3684.00,3684.00,3683.00,3684.00,1530,0\r\n2006-02-07,17:55:00,3684.00,3685.00,3684.00,3684.00,506,0\r\n2006-02-07,17:56:00,3684.00,3685.00,3684.00,3684.00,886,0\r\n2006-02-07,17:57:00,3685.00,3687.00,3685.00,3687.00,1031,0\r\n2006-02-07,17:58:00,3687.00,3687.00,3687.00,3687.00,130,0\r\n2006-02-07,17:59:00,3687.00,3687.00,3684.00,3684.00,545,0\r\n2006-02-07,18:00:00,3684.00,3685.00,3684.00,3685.00,137,0\r\n2006-02-07,18:01:00,3685.00,3686.00,3684.00,3684.00,544,0\r\n2006-02-07,18:02:00,3683.00,3684.00,3683.00,3684.00,184,0\r\n2006-02-07,18:03:00,3684.00,3684.00,3682.00,3682.00,287,0\r\n2006-02-07,18:04:00,3682.00,3685.00,3682.00,3684.00,357,0\r\n2006-02-07,18:05:00,3685.00,3686.00,3684.00,3685.00,529,0\r\n2006-02-07,18:06:00,3686.00,3687.00,3685.00,3685.00,317,0\r\n2006-02-07,18:07:00,3685.00,3685.00,3684.00,3684.00,110,0\r\n2006-02-07,18:08:00,3684.00,3685.00,3684.00,3684.00,155,0\r\n2006-02-07,18:09:00,3684.00,3684.00,3683.00,3684.00,76,0\r\n2006-02-07,18:10:00,3683.00,3683.00,3682.00,3682.00,359,0\r\n2006-02-07,18:11:00,3683.00,3683.00,3682.00,3682.00,276,0\r\n2006-02-07,18:12:00,3681.00,3681.00,3680.00,3681.00,1085,0\r\n2006-02-07,18:13:00,3682.00,3682.00,3681.00,3681.00,93,0\r\n2006-02-07,18:14:00,3681.00,3681.00,3681.00,3681.00,378,0\r\n2006-02-07,18:15:00,3681.00,3682.00,3681.00,3681.00,397,0\r\n2006-02-07,18:16:00,3681.00,3681.00,3679.00,3681.00,1628,0\r\n2006-02-07,18:17:00,3681.00,3681.00,3680.00,3681.00,606,0\r\n2006-02-07,18:18:00,3681.00,3682.00,3681.00,3682.00,127,0\r\n2006-02-07,18:19:00,3681.00,3681.00,3680.00,3680.00,539,0\r\n2006-02-07,18:20:00,3681.00,3681.00,3680.00,3681.00,147,0\r\n2006-02-07,18:21:00,3681.00,3682.00,3681.00,3682.00,293,0\r\n2006-02-07,18:22:00,3681.00,3682.00,3681.00,3682.00,89,0\r\n2006-02-07,18:23:00,3681.00,3681.00,3681.00,3681.00,78,0\r\n2006-02-07,18:24:00,3681.00,3683.00,3681.00,3683.00,295,0\r\n2006-02-07,18:25:00,3682.00,3682.00,3681.00,3681.00,202,0\r\n2006-02-07,18:26:00,3681.00,3681.00,3681.00,3681.00,69,0\r\n2006-02-07,18:27:00,3681.00,3682.00,3681.00,3682.00,261,0\r\n2006-02-07,18:28:00,3681.00,3681.00,3680.00,3680.00,227,0\r\n2006-02-07,18:29:00,3680.00,3681.00,3680.00,3681.00,273,0\r\n2006-02-07,18:30:00,3681.00,3683.00,3681.00,3682.00,495,0\r\n2006-02-07,18:31:00,3682.00,3682.00,3682.00,3682.00,126,0\r\n2006-02-07,18:32:00,3682.00,3682.00,3682.00,3682.00,29,0\r\n2006-02-07,18:33:00,3683.00,3685.00,3683.00,3684.00,597,0\r\n2006-02-07,18:34:00,3684.00,3686.00,3683.00,3685.00,280,0\r\n2006-02-07,18:35:00,3685.00,3686.00,3685.00,3685.00,326,0\r\n2006-02-07,18:36:00,3685.00,3686.00,3685.00,3686.00,459,0\r\n2006-02-07,18:37:00,3687.00,3687.00,3686.00,3686.00,580,0\r\n2006-02-07,18:38:00,3686.00,3686.00,3684.00,3684.00,309,0\r\n2006-02-07,18:39:00,3683.00,3683.00,3682.00,3682.00,280,0\r\n2006-02-07,18:40:00,3682.00,3685.00,3682.00,3685.00,153,0\r\n2006-02-07,18:41:00,3685.00,3685.00,3684.00,3684.00,21,0\r\n2006-02-07,18:42:00,3684.00,3684.00,3684.00,3684.00,61,0\r\n2006-02-07,18:43:00,3684.00,3685.00,3684.00,3684.00,229,0\r\n2006-02-07,18:44:00,3684.00,3684.00,3684.00,3684.00,39,0\r\n2006-02-07,18:45:00,3684.00,3685.00,3684.00,3684.00,86,0\r\n2006-02-07,18:46:00,3684.00,3684.00,3684.00,3684.00,204,0\r\n2006-02-07,18:47:00,3684.00,3685.00,3683.00,3683.00,494,0\r\n2006-02-07,18:48:00,3682.00,3682.00,3682.00,3682.00,142,0\r\n2006-02-07,18:49:00,3682.00,3682.00,3680.00,3680.00,301,0\r\n2006-02-07,18:50:00,3680.00,3681.00,3680.00,3681.00,36,0\r\n2006-02-07,18:51:00,3681.00,3681.00,3680.00,3680.00,112,0\r\n2006-02-07,18:52:00,3680.00,3681.00,3680.00,3681.00,284,0\r\n2006-02-07,18:53:00,3681.00,3681.00,3681.00,3681.00,47,0\r\n2006-02-07,18:54:00,3682.00,3682.00,3681.00,3681.00,128,0\r\n2006-02-07,18:55:00,3681.00,3681.00,3679.00,3680.00,144,0\r\n2006-02-07,18:56:00,3679.00,3680.00,3678.00,3679.00,401,0\r\n2006-02-07,18:57:00,3679.00,3680.00,3679.00,3680.00,149,0\r\n2006-02-07,18:58:00,3680.00,3681.00,3680.00,3681.00,206,0\r\n2006-02-07,18:59:00,3681.00,3681.00,3680.00,3681.00,199,0\r\n2006-02-07,19:00:00,3681.00,3682.00,3681.00,3681.00,90,0\r\n2006-02-07,19:01:00,3681.00,3681.00,3680.00,3680.00,135,0\r\n2006-02-07,19:02:00,3679.00,3679.00,3672.00,3674.00,3398,0\r\n2006-02-07,19:03:00,3674.00,3675.00,3673.00,3673.00,474,0\r\n2006-02-07,19:04:00,3673.00,3673.00,3671.00,3673.00,1814,0\r\n2006-02-07,19:05:00,3673.00,3673.00,3667.00,3670.00,4047,0\r\n2006-02-07,19:06:00,3670.00,3670.00,3667.00,3668.00,1121,0\r\n2006-02-07,19:07:00,3668.00,3672.00,3667.00,3670.00,916,0\r\n2006-02-07,19:08:00,3670.00,3671.00,3668.00,3668.00,808,0\r\n2006-02-07,19:09:00,3669.00,3669.00,3667.00,3667.00,778,0\r\n2006-02-07,19:10:00,3667.00,3667.00,3664.00,3666.00,2163,0\r\n2006-02-07,19:11:00,3665.00,3665.00,3662.00,3663.00,1882,0\r\n2006-02-07,19:12:00,3664.00,3666.00,3663.00,3665.00,1342,0\r\n2006-02-07,19:13:00,3665.00,3667.00,3665.00,3667.00,578,0\r\n2006-02-07,19:14:00,3667.00,3668.00,3667.00,3667.00,623,0\r\n2006-02-07,19:15:00,3666.00,3667.00,3666.00,3666.00,719,0\r\n2006-02-07,19:16:00,3666.00,3666.00,3665.00,3665.00,158,0\r\n2006-02-07,19:17:00,3665.00,3666.00,3664.00,3666.00,661,0\r\n2006-02-07,19:18:00,3666.00,3666.00,3663.00,3665.00,610,0\r\n2006-02-07,19:19:00,3665.00,3666.00,3665.00,3666.00,208,0\r\n2006-02-07,19:20:00,3666.00,3666.00,3666.00,3666.00,458,0\r\n2006-02-07,19:21:00,3666.00,3667.00,3665.00,3667.00,581,0\r\n2006-02-07,19:22:00,3667.00,3667.00,3667.00,3667.00,36,0\r\n2006-02-07,19:23:00,3667.00,3668.00,3667.00,3668.00,180,0\r\n2006-02-07,19:24:00,3669.00,3670.00,3669.00,3670.00,1048,0\r\n2006-02-07,19:25:00,3670.00,3670.00,3669.00,3669.00,383,0\r\n2006-02-07,19:26:00,3668.00,3669.00,3667.00,3667.00,788,0\r\n2006-02-07,19:27:00,3667.00,3667.00,3667.00,3667.00,355,0\r\n2006-02-07,19:28:00,3667.00,3667.00,3665.00,3666.00,574,0\r\n2006-02-07,19:29:00,3666.00,3668.00,3666.00,3666.00,501,0\r\n2006-02-07,19:30:00,3666.00,3666.00,3665.00,3665.00,403,0\r\n2006-02-07,19:31:00,3665.00,3666.00,3664.00,3665.00,301,0\r\n2006-02-07,19:32:00,3665.00,3667.00,3665.00,3667.00,137,0\r\n2006-02-07,19:33:00,3667.00,3668.00,3667.00,3668.00,209,0\r\n2006-02-07,19:34:00,3668.00,3669.00,3668.00,3668.00,225,0\r\n2006-02-07,19:35:00,3668.00,3669.00,3668.00,3668.00,330,0\r\n2006-02-07,19:36:00,3669.00,3669.00,3668.00,3668.00,51,0\r\n2006-02-07,19:37:00,3668.00,3668.00,3668.00,3668.00,84,0\r\n2006-02-07,19:38:00,3668.00,3668.00,3668.00,3668.00,53,0\r\n2006-02-07,19:39:00,3668.00,3668.00,3668.00,3668.00,4,0\r\n2006-02-07,19:40:00,3668.00,3669.00,3667.00,3669.00,144,0\r\n2006-02-07,19:41:00,3668.00,3668.00,3668.00,3668.00,13,0\r\n2006-02-07,19:42:00,3668.00,3668.00,3668.00,3668.00,187,0\r\n2006-02-07,19:43:00,3668.00,3668.00,3666.00,3666.00,458,0\r\n2006-02-07,19:44:00,3667.00,3667.00,3666.00,3667.00,704,0\r\n2006-02-07,19:45:00,3668.00,3668.00,3667.00,3667.00,433,0\r\n2006-02-07,19:46:00,3667.00,3670.00,3666.00,3669.00,315,0\r\n2006-02-07,19:47:00,3669.00,3669.00,3668.00,3668.00,211,0\r\n2006-02-07,19:48:00,3668.00,3669.00,3667.00,3668.00,196,0\r\n2006-02-07,19:49:00,3669.00,3670.00,3669.00,3669.00,118,0\r\n2006-02-07,19:50:00,3668.00,3668.00,3666.00,3667.00,435,0\r\n2006-02-07,19:51:00,3667.00,3668.00,3667.00,3668.00,69,0\r\n2006-02-07,19:52:00,3668.00,3668.00,3667.00,3667.00,124,0\r\n2006-02-07,19:53:00,3667.00,3667.00,3664.00,3665.00,302,0\r\n2006-02-07,19:54:00,3665.00,3666.00,3665.00,3665.00,149,0\r\n2006-02-07,19:55:00,3665.00,3667.00,3665.00,3666.00,364,0\r\n2006-02-07,19:56:00,3667.00,3667.00,3666.00,3666.00,99,0\r\n2006-02-07,19:57:00,3667.00,3668.00,3667.00,3668.00,201,0\r\n2006-02-07,19:58:00,3669.00,3669.00,3669.00,3669.00,220,0\r\n2006-02-07,19:59:00,3669.00,3669.00,3669.00,3669.00,82,0\r\n2006-02-07,20:00:00,3668.00,3669.00,3668.00,3669.00,87,0\r\n2006-02-07,20:01:00,3669.00,3670.00,3669.00,3669.00,29,0\r\n2006-02-07,20:02:00,3669.00,3669.00,3667.00,3667.00,240,0\r\n2006-02-07,20:03:00,3667.00,3667.00,3667.00,3667.00,27,0\r\n2006-02-07,20:04:00,3668.00,3669.00,3668.00,3669.00,81,0\r\n2006-02-07,20:05:00,3669.00,3669.00,3668.00,3668.00,41,0\r\n2006-02-07,20:06:00,3668.00,3668.00,3668.00,3668.00,17,0\r\n2006-02-07,20:07:00,3668.00,3668.00,3667.00,3668.00,379,0\r\n2006-02-07,20:08:00,3668.00,3668.00,3668.00,3668.00,77,0\r\n2006-02-07,20:09:00,3668.00,3668.00,3668.00,3668.00,1,0\r\n2006-02-07,20:10:00,3668.00,3668.00,3667.00,3667.00,174,0\r\n2006-02-07,20:11:00,3668.00,3668.00,3668.00,3668.00,43,0\r\n2006-02-07,20:12:00,3668.00,3669.00,3668.00,3668.00,226,0\r\n2006-02-07,20:13:00,3669.00,3669.00,3669.00,3669.00,90,0\r\n2006-02-07,20:14:00,3668.00,3668.00,3668.00,3668.00,52,0\r\n2006-02-07,20:15:00,3668.00,3670.00,3667.00,3670.00,308,0\r\n2006-02-07,20:16:00,3670.00,3670.00,3669.00,3669.00,120,0\r\n2006-02-07,20:17:00,3670.00,3671.00,3670.00,3670.00,60,0\r\n2006-02-07,20:18:00,3670.00,3670.00,3670.00,3670.00,34,0\r\n2006-02-07,20:19:00,3670.00,3670.00,3670.00,3670.00,21,0\r\n2006-02-07,20:20:00,3670.00,3670.00,3670.00,3670.00,129,0\r\n2006-02-07,20:21:00,3670.00,3670.00,3670.00,3670.00,154,0\r\n2006-02-07,20:22:00,3670.00,3670.00,3669.00,3669.00,350,0\r\n2006-02-07,20:23:00,3668.00,3669.00,3668.00,3669.00,140,0\r\n2006-02-07,20:24:00,3669.00,3669.00,3669.00,3669.00,51,0\r\n2006-02-07,20:25:00,3669.00,3669.00,3669.00,3669.00,16,0\r\n2006-02-07,20:26:00,3669.00,3669.00,3669.00,3669.00,11,0\r\n2006-02-07,20:27:00,3670.00,3672.00,3670.00,3671.00,353,0\r\n2006-02-07,20:28:00,3670.00,3672.00,3670.00,3672.00,429,0\r\n2006-02-07,20:29:00,3672.00,3673.00,3671.00,3671.00,1016,0\r\n2006-02-07,20:30:00,3672.00,3673.00,3671.00,3672.00,210,0\r\n2006-02-07,20:31:00,3673.00,3673.00,3671.00,3672.00,213,0\r\n2006-02-07,20:32:00,3672.00,3673.00,3671.00,3671.00,145,0\r\n2006-02-07,20:33:00,3671.00,3672.00,3671.00,3671.00,65,0\r\n2006-02-07,20:34:00,3671.00,3671.00,3670.00,3671.00,25,0\r\n2006-02-07,20:35:00,3670.00,3670.00,3670.00,3670.00,91,0\r\n2006-02-07,20:36:00,3670.00,3670.00,3669.00,3670.00,41,0\r\n2006-02-07,20:37:00,3671.00,3671.00,3671.00,3671.00,184,0\r\n2006-02-07,20:38:00,3672.00,3672.00,3671.00,3671.00,336,0\r\n2006-02-07,20:39:00,3670.00,3670.00,3669.00,3669.00,144,0\r\n2006-02-07,20:40:00,3669.00,3669.00,3668.00,3669.00,84,0\r\n2006-02-07,20:41:00,3668.00,3669.00,3668.00,3668.00,102,0\r\n2006-02-07,20:42:00,3668.00,3669.00,3668.00,3668.00,86,0\r\n2006-02-07,20:43:00,3668.00,3668.00,3668.00,3668.00,25,0\r\n2006-02-07,20:44:00,3669.00,3670.00,3669.00,3669.00,128,0\r\n2006-02-07,20:45:00,3669.00,3669.00,3669.00,3669.00,12,0\r\n2006-02-07,20:46:00,3669.00,3669.00,3667.00,3667.00,119,0\r\n2006-02-07,20:47:00,3667.00,3667.00,3664.00,3667.00,1133,0\r\n2006-02-07,20:48:00,3667.00,3667.00,3667.00,3667.00,45,0\r\n2006-02-07,20:49:00,3668.00,3668.00,3668.00,3668.00,115,0\r\n2006-02-07,20:50:00,3668.00,3668.00,3668.00,3668.00,85,0\r\n2006-02-07,20:51:00,3668.00,3668.00,3667.00,3667.00,62,0\r\n2006-02-07,20:52:00,3667.00,3667.00,3666.00,3666.00,267,0\r\n2006-02-07,20:53:00,3666.00,3666.00,3665.00,3665.00,189,0\r\n2006-02-07,20:54:00,3665.00,3667.00,3665.00,3666.00,114,0\r\n2006-02-07,20:55:00,3665.00,3665.00,3664.00,3665.00,168,0\r\n2006-02-07,20:56:00,3664.00,3667.00,3664.00,3667.00,164,0\r\n2006-02-07,20:57:00,3667.00,3667.00,3666.00,3666.00,27,0\r\n2006-02-07,20:58:00,3666.00,3666.00,3666.00,3666.00,40,0\r\n2006-02-07,20:59:00,3667.00,3667.00,3667.00,3667.00,10,0\r\n2006-02-07,21:00:00,3667.00,3667.00,3666.00,3666.00,91,0\r\n2006-02-07,21:01:00,3665.00,3667.00,3665.00,3666.00,242,0\r\n2006-02-07,21:02:00,3665.00,3665.00,3665.00,3665.00,53,0\r\n2006-02-07,21:03:00,3665.00,3665.00,3665.00,3665.00,42,0\r\n2006-02-07,21:04:00,3665.00,3666.00,3665.00,3665.00,122,0\r\n2006-02-07,21:05:00,3664.00,3664.00,3663.00,3663.00,155,0\r\n2006-02-07,21:06:00,3663.00,3665.00,3663.00,3664.00,183,0\r\n2006-02-07,21:07:00,3664.00,3664.00,3664.00,3664.00,80,0\r\n2006-02-07,21:08:00,3665.00,3665.00,3664.00,3664.00,60,0\r\n2006-02-07,21:09:00,3665.00,3666.00,3665.00,3665.00,262,0\r\n2006-02-07,21:11:00,3665.00,3665.00,3665.00,3665.00,37,0\r\n2006-02-07,21:12:00,3665.00,3665.00,3664.00,3664.00,24,0\r\n2006-02-07,21:13:00,3664.00,3664.00,3664.00,3664.00,66,0\r\n2006-02-07,21:14:00,3665.00,3665.00,3665.00,3665.00,71,0\r\n2006-02-07,21:15:00,3666.00,3667.00,3666.00,3667.00,52,0\r\n2006-02-07,21:16:00,3666.00,3666.00,3665.00,3665.00,28,0\r\n2006-02-07,21:17:00,3665.00,3665.00,3665.00,3665.00,25,0\r\n2006-02-07,21:18:00,3664.00,3664.00,3664.00,3664.00,58,0\r\n2006-02-07,21:19:00,3665.00,3665.00,3665.00,3665.00,102,0\r\n2006-02-07,21:20:00,3664.00,3664.00,3664.00,3664.00,5,0\r\n2006-02-07,21:21:00,3665.00,3665.00,3665.00,3665.00,116,0\r\n2006-02-07,21:22:00,3665.00,3665.00,3664.00,3664.00,77,0\r\n2006-02-07,21:23:00,3665.00,3665.00,3665.00,3665.00,14,0\r\n2006-02-07,21:24:00,3665.00,3667.00,3665.00,3667.00,278,0\r\n2006-02-07,21:25:00,3668.00,3668.00,3667.00,3667.00,62,0\r\n2006-02-07,21:26:00,3667.00,3667.00,3667.00,3667.00,138,0\r\n2006-02-07,21:27:00,3666.00,3666.00,3666.00,3666.00,10,0\r\n2006-02-07,21:28:00,3667.00,3667.00,3666.00,3666.00,20,0\r\n2006-02-07,21:30:00,3667.00,3667.00,3665.00,3666.00,95,0\r\n2006-02-07,21:31:00,3666.00,3667.00,3665.00,3667.00,83,0\r\n2006-02-07,21:33:00,3666.00,3666.00,3666.00,3666.00,17,0\r\n2006-02-07,21:34:00,3666.00,3666.00,3666.00,3666.00,11,0\r\n2006-02-07,21:35:00,3666.00,3666.00,3666.00,3666.00,4,0\r\n2006-02-07,21:36:00,3666.00,3667.00,3666.00,3667.00,33,0\r\n2006-02-07,21:37:00,3667.00,3667.00,3667.00,3667.00,14,0\r\n2006-02-07,21:39:00,3668.00,3668.00,3668.00,3668.00,13,0\r\n2006-02-07,21:40:00,3669.00,3670.00,3669.00,3670.00,181,0\r\n2006-02-07,21:41:00,3670.00,3670.00,3669.00,3669.00,103,0\r\n2006-02-07,21:42:00,3669.00,3669.00,3668.00,3668.00,115,0\r\n2006-02-07,21:44:00,3668.00,3668.00,3668.00,3668.00,1,0\r\n2006-02-07,21:45:00,3669.00,3669.00,3669.00,3669.00,146,0\r\n2006-02-07,21:46:00,3669.00,3670.00,3669.00,3670.00,7,0\r\n2006-02-07,21:47:00,3669.00,3669.00,3668.00,3668.00,15,0\r\n2006-02-07,21:48:00,3669.00,3669.00,3669.00,3669.00,1,0\r\n2006-02-07,21:49:00,3669.00,3669.00,3668.00,3668.00,57,0\r\n2006-02-07,21:50:00,3668.00,3669.00,3668.00,3669.00,26,0\r\n2006-02-07,21:51:00,3668.00,3668.00,3667.00,3667.00,79,0\r\n2006-02-07,21:52:00,3668.00,3668.00,3668.00,3668.00,25,0\r\n2006-02-07,21:53:00,3669.00,3669.00,3667.00,3668.00,56,0\r\n2006-02-07,21:54:00,3668.00,3668.00,3668.00,3668.00,1,0\r\n2006-02-07,21:55:00,3668.00,3668.00,3666.00,3666.00,92,0\r\n2006-02-07,21:56:00,3667.00,3667.00,3666.00,3666.00,12,0\r\n2006-02-07,21:57:00,3666.00,3667.00,3666.00,3666.00,7,0\r\n2006-02-07,21:58:00,3666.00,3668.00,3666.00,3667.00,53,0\r\n2006-02-07,21:59:00,3668.00,3668.00,3667.00,3668.00,48,0\r\n2006-02-07,22:00:00,3668.00,3669.00,3666.00,3669.00,229,0\r\n2006-02-08,09:01:00,3658.00,3658.00,3654.00,3657.00,9475,0\r\n2006-02-08,09:02:00,3656.00,3659.00,3652.00,3653.00,5485,0\r\n2006-02-08,09:03:00,3653.00,3655.00,3651.00,3653.00,6335,0\r\n2006-02-08,09:04:00,3654.00,3655.00,3652.00,3654.00,3209,0\r\n2006-02-08,09:05:00,3654.00,3654.00,3649.00,3650.00,6623,0\r\n2006-02-08,09:06:00,3650.00,3651.00,3647.00,3650.00,5090,0\r\n2006-02-08,09:07:00,3651.00,3655.00,3650.00,3654.00,3744,0\r\n2006-02-08,09:08:00,3654.00,3654.00,3652.00,3653.00,1716,0\r\n2006-02-08,09:09:00,3653.00,3655.00,3653.00,3653.00,1995,0\r\n2006-02-08,09:10:00,3654.00,3655.00,3653.00,3653.00,1874,0\r\n2006-02-08,09:11:00,3653.00,3656.00,3653.00,3655.00,3086,0\r\n2006-02-08,09:12:00,3654.00,3655.00,3654.00,3654.00,912,0\r\n2006-02-08,09:13:00,3654.00,3657.00,3654.00,3657.00,1020,0\r\n2006-02-08,09:14:00,3657.00,3659.00,3656.00,3657.00,2126,0\r\n2006-02-08,09:15:00,3657.00,3658.00,3657.00,3657.00,444,0\r\n2006-02-08,09:16:00,3658.00,3658.00,3656.00,3657.00,1306,0\r\n2006-02-08,09:17:00,3657.00,3657.00,3655.00,3656.00,659,0\r\n2006-02-08,09:18:00,3656.00,3658.00,3656.00,3656.00,852,0\r\n2006-02-08,09:19:00,3656.00,3657.00,3654.00,3654.00,1433,0\r\n2006-02-08,09:20:00,3654.00,3655.00,3653.00,3654.00,1651,0\r\n2006-02-08,09:21:00,3653.00,3654.00,3652.00,3653.00,2675,0\r\n2006-02-08,09:22:00,3653.00,3654.00,3650.00,3651.00,3335,0\r\n2006-02-08,09:23:00,3651.00,3653.00,3650.00,3653.00,604,0\r\n2006-02-08,09:24:00,3653.00,3654.00,3651.00,3651.00,3058,0\r\n2006-02-08,09:25:00,3651.00,3652.00,3648.00,3649.00,3026,0\r\n2006-02-08,09:26:00,3649.00,3650.00,3645.00,3647.00,5629,0\r\n2006-02-08,09:27:00,3647.00,3647.00,3645.00,3646.00,2726,0\r\n2006-02-08,09:28:00,3646.00,3648.00,3645.00,3648.00,2015,0\r\n2006-02-08,09:29:00,3647.00,3650.00,3646.00,3646.00,2784,0\r\n2006-02-08,09:30:00,3647.00,3650.00,3647.00,3650.00,1327,0\r\n2006-02-08,09:31:00,3650.00,3651.00,3649.00,3649.00,3232,0\r\n2006-02-08,09:32:00,3649.00,3652.00,3649.00,3651.00,3680,0\r\n2006-02-08,09:33:00,3651.00,3652.00,3650.00,3652.00,915,0\r\n2006-02-08,09:34:00,3652.00,3652.00,3651.00,3652.00,714,0\r\n2006-02-08,09:35:00,3652.00,3652.00,3650.00,3652.00,528,0\r\n2006-02-08,09:36:00,3652.00,3652.00,3651.00,3652.00,1693,0\r\n2006-02-08,09:37:00,3653.00,3655.00,3652.00,3654.00,1850,0\r\n2006-02-08,09:38:00,3655.00,3655.00,3653.00,3654.00,2094,0\r\n2006-02-08,09:39:00,3655.00,3658.00,3654.00,3656.00,2977,0\r\n2006-02-08,09:40:00,3657.00,3657.00,3656.00,3657.00,406,0\r\n2006-02-08,09:41:00,3656.00,3658.00,3655.00,3656.00,1488,0\r\n2006-02-08,09:42:00,3656.00,3657.00,3656.00,3657.00,549,0\r\n2006-02-08,09:43:00,3656.00,3657.00,3656.00,3657.00,964,0\r\n2006-02-08,09:44:00,3658.00,3659.00,3657.00,3658.00,1773,0\r\n2006-02-08,09:45:00,3657.00,3658.00,3655.00,3656.00,1193,0\r\n2006-02-08,09:46:00,3655.00,3655.00,3652.00,3652.00,3194,0\r\n2006-02-08,09:47:00,3651.00,3654.00,3651.00,3653.00,484,0\r\n2006-02-08,09:48:00,3653.00,3655.00,3653.00,3654.00,1390,0\r\n2006-02-08,09:49:00,3654.00,3654.00,3653.00,3654.00,382,0\r\n2006-02-08,09:50:00,3654.00,3655.00,3654.00,3654.00,326,0\r\n2006-02-08,09:51:00,3655.00,3656.00,3654.00,3656.00,931,0\r\n2006-02-08,09:52:00,3656.00,3657.00,3655.00,3656.00,1878,0\r\n2006-02-08,09:53:00,3655.00,3656.00,3654.00,3655.00,938,0\r\n2006-02-08,09:54:00,3655.00,3655.00,3654.00,3654.00,684,0\r\n2006-02-08,09:55:00,3654.00,3656.00,3654.00,3655.00,512,0\r\n2006-02-08,09:56:00,3656.00,3658.00,3656.00,3657.00,1281,0\r\n2006-02-08,09:57:00,3658.00,3660.00,3658.00,3658.00,1469,0\r\n2006-02-08,09:58:00,3659.00,3661.00,3659.00,3661.00,2339,0\r\n2006-02-08,09:59:00,3661.00,3661.00,3659.00,3660.00,1620,0\r\n2006-02-08,10:00:00,3660.00,3660.00,3658.00,3659.00,763,0\r\n2006-02-08,10:01:00,3660.00,3660.00,3658.00,3659.00,1076,0\r\n2006-02-08,10:02:00,3658.00,3660.00,3657.00,3659.00,2824,0\r\n2006-02-08,10:03:00,3660.00,3661.00,3658.00,3659.00,1918,0\r\n2006-02-08,10:04:00,3659.00,3660.00,3659.00,3660.00,925,0\r\n2006-02-08,10:05:00,3660.00,3660.00,3657.00,3657.00,1810,0\r\n2006-02-08,10:06:00,3657.00,3657.00,3655.00,3656.00,1432,0\r\n2006-02-08,10:07:00,3655.00,3656.00,3655.00,3656.00,677,0\r\n2006-02-08,10:08:00,3656.00,3657.00,3655.00,3656.00,540,0\r\n2006-02-08,10:09:00,3656.00,3656.00,3654.00,3655.00,1758,0\r\n2006-02-08,10:10:00,3656.00,3658.00,3656.00,3657.00,391,0\r\n2006-02-08,10:11:00,3657.00,3658.00,3657.00,3658.00,168,0\r\n2006-02-08,10:12:00,3658.00,3658.00,3657.00,3658.00,599,0\r\n2006-02-08,10:13:00,3658.00,3659.00,3658.00,3658.00,2571,0\r\n2006-02-08,10:14:00,3658.00,3658.00,3657.00,3657.00,389,0\r\n2006-02-08,10:15:00,3658.00,3658.00,3656.00,3658.00,587,0\r\n2006-02-08,10:16:00,3657.00,3660.00,3657.00,3659.00,994,0\r\n2006-02-08,10:17:00,3659.00,3662.00,3659.00,3661.00,1714,0\r\n2006-02-08,10:18:00,3660.00,3663.00,3659.00,3663.00,1189,0\r\n2006-02-08,10:19:00,3662.00,3662.00,3660.00,3660.00,609,0\r\n2006-02-08,10:20:00,3660.00,3661.00,3660.00,3661.00,1297,0\r\n2006-02-08,10:21:00,3661.00,3662.00,3660.00,3662.00,1010,0\r\n2006-02-08,10:22:00,3662.00,3662.00,3660.00,3660.00,618,0\r\n2006-02-08,10:23:00,3661.00,3661.00,3659.00,3659.00,321,0\r\n2006-02-08,10:24:00,3659.00,3660.00,3654.00,3656.00,3921,0\r\n2006-02-08,10:25:00,3655.00,3656.00,3654.00,3655.00,2244,0\r\n2006-02-08,10:26:00,3656.00,3656.00,3653.00,3655.00,1124,0\r\n2006-02-08,10:27:00,3655.00,3656.00,3654.00,3656.00,900,0\r\n2006-02-08,10:28:00,3656.00,3657.00,3655.00,3656.00,160,0\r\n2006-02-08,10:29:00,3657.00,3659.00,3657.00,3658.00,675,0\r\n2006-02-08,10:30:00,3658.00,3662.00,3657.00,3662.00,1805,0\r\n2006-02-08,10:31:00,3662.00,3664.00,3661.00,3662.00,4437,0\r\n2006-02-08,10:32:00,3662.00,3663.00,3661.00,3662.00,1295,0\r\n2006-02-08,10:33:00,3661.00,3662.00,3661.00,3661.00,933,0\r\n2006-02-08,10:34:00,3660.00,3664.00,3660.00,3664.00,1822,0\r\n2006-02-08,10:35:00,3664.00,3664.00,3661.00,3662.00,1347,0\r\n2006-02-08,10:36:00,3662.00,3663.00,3661.00,3663.00,896,0\r\n2006-02-08,10:37:00,3663.00,3663.00,3662.00,3662.00,1941,0\r\n2006-02-08,10:38:00,3661.00,3661.00,3660.00,3660.00,977,0\r\n2006-02-08,10:39:00,3661.00,3661.00,3660.00,3661.00,260,0\r\n2006-02-08,10:40:00,3661.00,3663.00,3661.00,3662.00,699,0\r\n2006-02-08,10:41:00,3662.00,3663.00,3661.00,3662.00,1151,0\r\n2006-02-08,10:42:00,3661.00,3663.00,3661.00,3662.00,1920,0\r\n2006-02-08,10:43:00,3662.00,3662.00,3658.00,3658.00,2235,0\r\n2006-02-08,10:44:00,3659.00,3660.00,3658.00,3660.00,849,0\r\n2006-02-08,10:45:00,3659.00,3660.00,3659.00,3659.00,957,0\r\n2006-02-08,10:46:00,3660.00,3660.00,3659.00,3659.00,43,0\r\n2006-02-08,10:47:00,3659.00,3659.00,3658.00,3658.00,635,0\r\n2006-02-08,10:48:00,3658.00,3659.00,3657.00,3659.00,612,0\r\n2006-02-08,10:49:00,3660.00,3660.00,3658.00,3659.00,801,0\r\n2006-02-08,10:50:00,3659.00,3660.00,3658.00,3659.00,617,0\r\n2006-02-08,10:51:00,3659.00,3660.00,3658.00,3659.00,2173,0\r\n2006-02-08,10:52:00,3659.00,3660.00,3658.00,3660.00,1463,0\r\n2006-02-08,10:53:00,3660.00,3660.00,3658.00,3660.00,534,0\r\n2006-02-08,10:54:00,3660.00,3661.00,3660.00,3661.00,742,0\r\n2006-02-08,10:55:00,3661.00,3663.00,3660.00,3662.00,3212,0\r\n2006-02-08,10:56:00,3663.00,3664.00,3662.00,3663.00,939,0\r\n2006-02-08,10:57:00,3662.00,3663.00,3661.00,3662.00,792,0\r\n2006-02-08,10:58:00,3663.00,3664.00,3662.00,3663.00,2155,0\r\n2006-02-08,10:59:00,3663.00,3664.00,3663.00,3663.00,2624,0\r\n2006-02-08,11:00:00,3663.00,3664.00,3662.00,3663.00,1333,0\r\n2006-02-08,11:01:00,3663.00,3667.00,3663.00,3665.00,3584,0\r\n2006-02-08,11:02:00,3665.00,3666.00,3664.00,3664.00,324,0\r\n2006-02-08,11:03:00,3665.00,3665.00,3663.00,3664.00,557,0\r\n2006-02-08,11:04:00,3664.00,3664.00,3663.00,3663.00,72,0\r\n2006-02-08,11:05:00,3664.00,3665.00,3664.00,3664.00,3743,0\r\n2006-02-08,11:06:00,3665.00,3665.00,3664.00,3665.00,441,0\r\n2006-02-08,11:07:00,3664.00,3665.00,3664.00,3664.00,219,0\r\n2006-02-08,11:08:00,3665.00,3665.00,3664.00,3664.00,41,0\r\n2006-02-08,11:09:00,3664.00,3666.00,3664.00,3666.00,869,0\r\n2006-02-08,11:10:00,3665.00,3668.00,3665.00,3667.00,1798,0\r\n2006-02-08,11:11:00,3666.00,3668.00,3666.00,3668.00,475,0\r\n2006-02-08,11:12:00,3668.00,3668.00,3666.00,3666.00,590,0\r\n2006-02-08,11:13:00,3666.00,3667.00,3666.00,3666.00,291,0\r\n2006-02-08,11:14:00,3667.00,3667.00,3666.00,3667.00,354,0\r\n2006-02-08,11:15:00,3666.00,3667.00,3666.00,3667.00,42,0\r\n2006-02-08,11:16:00,3666.00,3668.00,3666.00,3667.00,490,0\r\n2006-02-08,11:17:00,3668.00,3668.00,3667.00,3667.00,905,0\r\n2006-02-08,11:18:00,3667.00,3668.00,3666.00,3667.00,1384,0\r\n2006-02-08,11:19:00,3666.00,3666.00,3665.00,3665.00,621,0\r\n2006-02-08,11:20:00,3665.00,3667.00,3665.00,3667.00,1212,0\r\n2006-02-08,11:21:00,3666.00,3667.00,3665.00,3665.00,271,0\r\n2006-02-08,11:22:00,3666.00,3666.00,3663.00,3665.00,1965,0\r\n2006-02-08,11:23:00,3664.00,3665.00,3664.00,3664.00,168,0\r\n2006-02-08,11:24:00,3664.00,3665.00,3663.00,3664.00,294,0\r\n2006-02-08,11:25:00,3664.00,3665.00,3664.00,3664.00,60,0\r\n2006-02-08,11:26:00,3664.00,3666.00,3664.00,3666.00,1340,0\r\n2006-02-08,11:27:00,3666.00,3667.00,3665.00,3666.00,326,0\r\n2006-02-08,11:28:00,3667.00,3668.00,3666.00,3668.00,924,0\r\n2006-02-08,11:29:00,3669.00,3669.00,3668.00,3668.00,2339,0\r\n2006-02-08,11:30:00,3668.00,3669.00,3668.00,3668.00,1192,0\r\n2006-02-08,11:31:00,3668.00,3673.00,3668.00,3672.00,5365,0\r\n2006-02-08,11:32:00,3671.00,3672.00,3670.00,3670.00,1619,0\r\n2006-02-08,11:33:00,3671.00,3671.00,3670.00,3670.00,691,0\r\n2006-02-08,11:34:00,3670.00,3672.00,3670.00,3671.00,616,0\r\n2006-02-08,11:35:00,3671.00,3671.00,3667.00,3668.00,2291,0\r\n2006-02-08,11:36:00,3668.00,3669.00,3667.00,3668.00,298,0\r\n2006-02-08,11:37:00,3668.00,3669.00,3668.00,3668.00,1095,0\r\n2006-02-08,11:38:00,3669.00,3669.00,3668.00,3668.00,47,0\r\n2006-02-08,11:39:00,3668.00,3669.00,3668.00,3668.00,362,0\r\n2006-02-08,11:40:00,3669.00,3670.00,3669.00,3670.00,143,0\r\n2006-02-08,11:41:00,3669.00,3670.00,3668.00,3668.00,1866,0\r\n2006-02-08,11:42:00,3668.00,3669.00,3668.00,3669.00,359,0\r\n2006-02-08,11:43:00,3669.00,3670.00,3668.00,3669.00,309,0\r\n2006-02-08,11:44:00,3669.00,3669.00,3668.00,3668.00,220,0\r\n2006-02-08,11:45:00,3668.00,3668.00,3667.00,3668.00,456,0\r\n2006-02-08,11:46:00,3668.00,3668.00,3667.00,3668.00,346,0\r\n2006-02-08,11:47:00,3667.00,3669.00,3667.00,3668.00,147,0\r\n2006-02-08,11:48:00,3668.00,3669.00,3668.00,3669.00,94,0\r\n2006-02-08,11:49:00,3669.00,3671.00,3668.00,3670.00,1127,0\r\n2006-02-08,11:50:00,3670.00,3671.00,3670.00,3670.00,546,0\r\n2006-02-08,11:51:00,3671.00,3671.00,3670.00,3671.00,310,0\r\n2006-02-08,11:52:00,3671.00,3671.00,3669.00,3670.00,1058,0\r\n2006-02-08,11:53:00,3669.00,3670.00,3669.00,3669.00,57,0\r\n2006-02-08,11:54:00,3670.00,3670.00,3670.00,3670.00,20,0\r\n2006-02-08,11:55:00,3669.00,3670.00,3669.00,3669.00,369,0\r\n2006-02-08,11:56:00,3670.00,3671.00,3669.00,3671.00,664,0\r\n2006-02-08,11:57:00,3671.00,3672.00,3670.00,3671.00,1962,0\r\n2006-02-08,11:58:00,3670.00,3671.00,3670.00,3670.00,920,0\r\n2006-02-08,11:59:00,3671.00,3673.00,3670.00,3672.00,1228,0\r\n2006-02-08,12:00:00,3672.00,3672.00,3671.00,3671.00,323,0\r\n2006-02-08,12:01:00,3671.00,3671.00,3669.00,3670.00,3025,0\r\n2006-02-08,12:02:00,3669.00,3671.00,3669.00,3670.00,920,0\r\n2006-02-08,12:03:00,3671.00,3671.00,3670.00,3670.00,133,0\r\n2006-02-08,12:04:00,3670.00,3672.00,3670.00,3671.00,486,0\r\n2006-02-08,12:05:00,3671.00,3672.00,3671.00,3672.00,106,0\r\n2006-02-08,12:06:00,3671.00,3672.00,3671.00,3671.00,439,0\r\n2006-02-08,12:07:00,3671.00,3672.00,3671.00,3671.00,350,0\r\n2006-02-08,12:08:00,3670.00,3670.00,3668.00,3670.00,2517,0\r\n2006-02-08,12:09:00,3670.00,3670.00,3669.00,3670.00,97,0\r\n2006-02-08,12:10:00,3671.00,3671.00,3670.00,3671.00,336,0\r\n2006-02-08,12:11:00,3671.00,3671.00,3670.00,3670.00,3,0\r\n2006-02-08,12:12:00,3670.00,3671.00,3670.00,3671.00,2146,0\r\n2006-02-08,12:13:00,3670.00,3671.00,3670.00,3670.00,6,0\r\n2006-02-08,12:14:00,3670.00,3671.00,3669.00,3671.00,570,0\r\n2006-02-08,12:15:00,3670.00,3671.00,3670.00,3671.00,287,0\r\n2006-02-08,12:16:00,3671.00,3672.00,3670.00,3671.00,1516,0\r\n2006-02-08,12:17:00,3671.00,3671.00,3670.00,3670.00,155,0\r\n2006-02-08,12:18:00,3671.00,3671.00,3670.00,3670.00,475,0\r\n2006-02-08,12:19:00,3669.00,3670.00,3669.00,3669.00,272,0\r\n2006-02-08,12:20:00,3669.00,3671.00,3669.00,3671.00,241,0\r\n2006-02-08,12:21:00,3670.00,3670.00,3670.00,3670.00,225,0\r\n2006-02-08,12:22:00,3671.00,3671.00,3670.00,3670.00,507,0\r\n2006-02-08,12:23:00,3671.00,3671.00,3670.00,3671.00,35,0\r\n2006-02-08,12:24:00,3671.00,3671.00,3670.00,3670.00,8,0\r\n2006-02-08,12:25:00,3671.00,3672.00,3670.00,3671.00,900,0\r\n2006-02-08,12:26:00,3672.00,3672.00,3671.00,3672.00,1388,0\r\n2006-02-08,12:27:00,3672.00,3674.00,3672.00,3673.00,2226,0\r\n2006-02-08,12:28:00,3673.00,3674.00,3672.00,3672.00,153,0\r\n2006-02-08,12:29:00,3673.00,3673.00,3672.00,3672.00,34,0\r\n2006-02-08,12:30:00,3672.00,3675.00,3672.00,3673.00,1593,0\r\n2006-02-08,12:31:00,3674.00,3675.00,3673.00,3673.00,1165,0\r\n2006-02-08,12:32:00,3674.00,3675.00,3674.00,3675.00,2972,0\r\n2006-02-08,12:33:00,3674.00,3675.00,3673.00,3674.00,915,0\r\n2006-02-08,12:34:00,3673.00,3674.00,3673.00,3673.00,735,0\r\n2006-02-08,12:35:00,3674.00,3676.00,3673.00,3676.00,3180,0\r\n2006-02-08,12:36:00,3675.00,3677.00,3675.00,3676.00,3543,0\r\n2006-02-08,12:37:00,3676.00,3677.00,3676.00,3676.00,319,0\r\n2006-02-08,12:38:00,3676.00,3676.00,3675.00,3675.00,990,0\r\n2006-02-08,12:39:00,3676.00,3677.00,3675.00,3676.00,1546,0\r\n2006-02-08,12:40:00,3676.00,3676.00,3675.00,3675.00,659,0\r\n2006-02-08,12:41:00,3676.00,3676.00,3675.00,3675.00,475,0\r\n2006-02-08,12:42:00,3675.00,3676.00,3674.00,3674.00,257,0\r\n2006-02-08,12:43:00,3674.00,3675.00,3674.00,3674.00,254,0\r\n2006-02-08,12:44:00,3675.00,3675.00,3675.00,3675.00,7,0\r\n2006-02-08,12:45:00,3674.00,3675.00,3674.00,3674.00,264,0\r\n2006-02-08,12:46:00,3674.00,3674.00,3673.00,3674.00,493,0\r\n2006-02-08,12:47:00,3674.00,3675.00,3673.00,3674.00,621,0\r\n2006-02-08,12:48:00,3675.00,3677.00,3674.00,3677.00,804,0\r\n2006-02-08,12:49:00,3676.00,3677.00,3676.00,3676.00,220,0\r\n2006-02-08,12:50:00,3676.00,3677.00,3676.00,3676.00,453,0\r\n2006-02-08,12:51:00,3677.00,3678.00,3677.00,3678.00,1563,0\r\n2006-02-08,12:52:00,3678.00,3678.00,3677.00,3677.00,489,0\r\n2006-02-08,12:53:00,3677.00,3677.00,3676.00,3676.00,19,0\r\n2006-02-08,12:54:00,3677.00,3677.00,3674.00,3675.00,1040,0\r\n2006-02-08,12:55:00,3675.00,3675.00,3674.00,3674.00,963,0\r\n2006-02-08,12:56:00,3674.00,3674.00,3674.00,3674.00,620,0\r\n2006-02-08,12:57:00,3674.00,3675.00,3674.00,3674.00,438,0\r\n2006-02-08,12:58:00,3674.00,3674.00,3673.00,3674.00,195,0\r\n2006-02-08,12:59:00,3674.00,3674.00,3674.00,3674.00,502,0\r\n2006-02-08,13:00:00,3675.00,3675.00,3674.00,3674.00,610,0\r\n2006-02-08,13:01:00,3674.00,3675.00,3674.00,3675.00,1174,0\r\n2006-02-08,13:02:00,3675.00,3675.00,3674.00,3674.00,146,0\r\n2006-02-08,13:03:00,3674.00,3674.00,3674.00,3674.00,217,0\r\n2006-02-08,13:04:00,3674.00,3674.00,3673.00,3674.00,205,0\r\n2006-02-08,13:05:00,3674.00,3674.00,3673.00,3673.00,96,0\r\n2006-02-08,13:06:00,3674.00,3674.00,3673.00,3674.00,194,0\r\n2006-02-08,13:07:00,3673.00,3674.00,3673.00,3674.00,711,0\r\n2006-02-08,13:08:00,3673.00,3674.00,3673.00,3674.00,96,0\r\n2006-02-08,13:09:00,3674.00,3674.00,3673.00,3673.00,108,0\r\n2006-02-08,13:10:00,3674.00,3674.00,3673.00,3673.00,283,0\r\n2006-02-08,13:11:00,3674.00,3674.00,3673.00,3673.00,161,0\r\n2006-02-08,13:12:00,3673.00,3676.00,3673.00,3676.00,1213,0\r\n2006-02-08,13:13:00,3675.00,3675.00,3675.00,3675.00,83,0\r\n2006-02-08,13:14:00,3676.00,3676.00,3676.00,3676.00,264,0\r\n2006-02-08,13:15:00,3677.00,3677.00,3675.00,3676.00,576,0\r\n2006-02-08,13:16:00,3676.00,3677.00,3675.00,3675.00,454,0\r\n2006-02-08,13:17:00,3675.00,3676.00,3675.00,3676.00,159,0\r\n2006-02-08,13:18:00,3676.00,3677.00,3676.00,3676.00,64,0\r\n2006-02-08,13:19:00,3677.00,3677.00,3676.00,3676.00,419,0\r\n2006-02-08,13:20:00,3676.00,3676.00,3675.00,3676.00,1096,0\r\n2006-02-08,13:21:00,3676.00,3676.00,3675.00,3676.00,163,0\r\n2006-02-08,13:22:00,3675.00,3676.00,3675.00,3676.00,243,0\r\n2006-02-08,13:23:00,3675.00,3675.00,3675.00,3675.00,1,0\r\n2006-02-08,13:24:00,3676.00,3676.00,3675.00,3675.00,7,0\r\n2006-02-08,13:25:00,3675.00,3675.00,3675.00,3675.00,938,0\r\n2006-02-08,13:26:00,3675.00,3677.00,3675.00,3677.00,1177,0\r\n2006-02-08,13:27:00,3677.00,3677.00,3676.00,3676.00,216,0\r\n2006-02-08,13:28:00,3676.00,3676.00,3676.00,3676.00,214,0\r\n2006-02-08,13:29:00,3676.00,3676.00,3676.00,3676.00,53,0\r\n2006-02-08,13:30:00,3676.00,3676.00,3676.00,3676.00,136,0\r\n2006-02-08,13:31:00,3677.00,3677.00,3676.00,3676.00,185,0\r\n2006-02-08,13:32:00,3675.00,3676.00,3675.00,3676.00,358,0\r\n2006-02-08,13:33:00,3676.00,3676.00,3676.00,3676.00,268,0\r\n2006-02-08,13:34:00,3676.00,3677.00,3676.00,3677.00,906,0\r\n2006-02-08,13:35:00,3676.00,3676.00,3676.00,3676.00,13,0\r\n2006-02-08,13:36:00,3676.00,3676.00,3676.00,3676.00,155,0\r\n2006-02-08,13:37:00,3677.00,3677.00,3676.00,3676.00,223,0\r\n2006-02-08,13:38:00,3676.00,3678.00,3676.00,3678.00,2475,0\r\n2006-02-08,13:39:00,3677.00,3677.00,3676.00,3676.00,494,0\r\n2006-02-08,13:40:00,3677.00,3678.00,3676.00,3677.00,232,0\r\n2006-02-08,13:41:00,3677.00,3677.00,3676.00,3676.00,2,0\r\n2006-02-08,13:42:00,3677.00,3677.00,3676.00,3677.00,1089,0\r\n2006-02-08,13:43:00,3677.00,3678.00,3677.00,3677.00,783,0\r\n2006-02-08,13:44:00,3677.00,3679.00,3677.00,3677.00,1756,0\r\n2006-02-08,13:45:00,3678.00,3678.00,3677.00,3677.00,2036,0\r\n2006-02-08,13:46:00,3678.00,3678.00,3677.00,3677.00,3011,0\r\n2006-02-08,13:47:00,3677.00,3678.00,3677.00,3678.00,630,0\r\n2006-02-08,13:48:00,3677.00,3678.00,3677.00,3678.00,201,0\r\n2006-02-08,13:49:00,3678.00,3678.00,3677.00,3677.00,187,0\r\n2006-02-08,13:50:00,3677.00,3678.00,3677.00,3678.00,302,0\r\n2006-02-08,13:51:00,3677.00,3679.00,3677.00,3678.00,441,0\r\n2006-02-08,13:52:00,3678.00,3678.00,3678.00,3678.00,71,0\r\n2006-02-08,13:53:00,3678.00,3679.00,3678.00,3679.00,35,0\r\n2006-02-08,13:54:00,3679.00,3679.00,3678.00,3678.00,21,0\r\n2006-02-08,13:55:00,3678.00,3679.00,3678.00,3679.00,26,0\r\n2006-02-08,13:56:00,3678.00,3679.00,3678.00,3679.00,34,0\r\n2006-02-08,13:57:00,3679.00,3679.00,3678.00,3678.00,25,0\r\n2006-02-08,13:58:00,3678.00,3679.00,3677.00,3678.00,602,0\r\n2006-02-08,13:59:00,3677.00,3677.00,3677.00,3677.00,244,0\r\n2006-02-08,14:00:00,3677.00,3678.00,3676.00,3677.00,361,0\r\n2006-02-08,14:01:00,3677.00,3678.00,3676.00,3678.00,670,0\r\n2006-02-08,14:02:00,3678.00,3679.00,3678.00,3678.00,81,0\r\n2006-02-08,14:03:00,3677.00,3679.00,3677.00,3679.00,287,0\r\n2006-02-08,14:04:00,3678.00,3680.00,3678.00,3679.00,466,0\r\n2006-02-08,14:05:00,3679.00,3680.00,3679.00,3679.00,194,0\r\n2006-02-08,14:06:00,3680.00,3680.00,3679.00,3679.00,476,0\r\n2006-02-08,14:07:00,3680.00,3681.00,3679.00,3679.00,1528,0\r\n2006-02-08,14:08:00,3680.00,3680.00,3678.00,3679.00,632,0\r\n2006-02-08,14:09:00,3678.00,3679.00,3677.00,3678.00,879,0\r\n2006-02-08,14:10:00,3678.00,3678.00,3677.00,3677.00,4,0\r\n2006-02-08,14:11:00,3678.00,3678.00,3677.00,3678.00,327,0\r\n2006-02-08,14:12:00,3678.00,3679.00,3678.00,3679.00,77,0\r\n2006-02-08,14:13:00,3678.00,3678.00,3678.00,3678.00,11,0\r\n2006-02-08,14:14:00,3679.00,3679.00,3678.00,3679.00,62,0\r\n2006-02-08,14:15:00,3679.00,3679.00,3679.00,3679.00,22,0\r\n2006-02-08,14:16:00,3679.00,3681.00,3679.00,3680.00,877,0\r\n2006-02-08,14:17:00,3680.00,3680.00,3678.00,3678.00,709,0\r\n2006-02-08,14:18:00,3678.00,3679.00,3678.00,3679.00,1736,0\r\n2006-02-08,14:19:00,3679.00,3679.00,3679.00,3679.00,143,0\r\n2006-02-08,14:20:00,3680.00,3680.00,3678.00,3678.00,658,0\r\n2006-02-08,14:21:00,3678.00,3678.00,3677.00,3678.00,123,0\r\n2006-02-08,14:22:00,3678.00,3679.00,3678.00,3679.00,116,0\r\n2006-02-08,14:23:00,3679.00,3679.00,3678.00,3678.00,25,0\r\n2006-02-08,14:24:00,3679.00,3679.00,3678.00,3678.00,9,0\r\n2006-02-08,14:25:00,3679.00,3679.00,3678.00,3678.00,189,0\r\n2006-02-08,14:26:00,3678.00,3679.00,3677.00,3677.00,93,0\r\n2006-02-08,14:27:00,3678.00,3678.00,3677.00,3678.00,42,0\r\n2006-02-08,14:28:00,3677.00,3678.00,3677.00,3678.00,232,0\r\n2006-02-08,14:29:00,3678.00,3678.00,3677.00,3678.00,355,0\r\n2006-02-08,14:30:00,3678.00,3678.00,3678.00,3678.00,23,0\r\n2006-02-08,14:31:00,3677.00,3678.00,3677.00,3678.00,127,0\r\n2006-02-08,14:32:00,3678.00,3678.00,3678.00,3678.00,37,0\r\n2006-02-08,14:33:00,3677.00,3678.00,3676.00,3676.00,1638,0\r\n2006-02-08,14:34:00,3676.00,3677.00,3676.00,3677.00,222,0\r\n2006-02-08,14:35:00,3676.00,3677.00,3676.00,3676.00,381,0\r\n2006-02-08,14:36:00,3676.00,3677.00,3675.00,3676.00,742,0\r\n2006-02-08,14:37:00,3676.00,3676.00,3675.00,3676.00,210,0\r\n2006-02-08,14:38:00,3676.00,3676.00,3675.00,3675.00,87,0\r\n2006-02-08,14:39:00,3675.00,3675.00,3675.00,3675.00,136,0\r\n2006-02-08,14:40:00,3676.00,3676.00,3675.00,3675.00,415,0\r\n2006-02-08,14:41:00,3675.00,3676.00,3675.00,3675.00,590,0\r\n2006-02-08,14:42:00,3675.00,3675.00,3675.00,3675.00,1,0\r\n2006-02-08,14:43:00,3675.00,3675.00,3675.00,3675.00,269,0\r\n2006-02-08,14:44:00,3676.00,3676.00,3675.00,3675.00,254,0\r\n2006-02-08,14:45:00,3675.00,3676.00,3675.00,3675.00,125,0\r\n2006-02-08,14:46:00,3676.00,3676.00,3675.00,3675.00,27,0\r\n2006-02-08,14:47:00,3675.00,3675.00,3675.00,3675.00,100,0\r\n2006-02-08,14:48:00,3675.00,3676.00,3675.00,3675.00,850,0\r\n2006-02-08,14:49:00,3676.00,3676.00,3675.00,3675.00,653,0\r\n2006-02-08,14:50:00,3675.00,3676.00,3674.00,3676.00,670,0\r\n2006-02-08,14:51:00,3675.00,3676.00,3675.00,3676.00,185,0\r\n2006-02-08,14:52:00,3676.00,3676.00,3676.00,3676.00,20,0\r\n2006-02-08,14:53:00,3676.00,3676.00,3675.00,3675.00,144,0\r\n2006-02-08,14:54:00,3675.00,3675.00,3675.00,3675.00,36,0\r\n2006-02-08,14:55:00,3675.00,3676.00,3675.00,3675.00,140,0\r\n2006-02-08,14:56:00,3675.00,3676.00,3675.00,3675.00,908,0\r\n2006-02-08,14:57:00,3676.00,3676.00,3676.00,3676.00,457,0\r\n2006-02-08,14:58:00,3676.00,3676.00,3676.00,3676.00,3,0\r\n2006-02-08,14:59:00,3676.00,3677.00,3676.00,3677.00,20,0\r\n2006-02-08,15:00:00,3676.00,3677.00,3676.00,3676.00,105,0\r\n2006-02-08,15:01:00,3677.00,3677.00,3676.00,3676.00,344,0\r\n2006-02-08,15:02:00,3677.00,3678.00,3677.00,3677.00,1410,0\r\n2006-02-08,15:03:00,3678.00,3679.00,3677.00,3678.00,456,0\r\n2006-02-08,15:04:00,3678.00,3679.00,3678.00,3678.00,146,0\r\n2006-02-08,15:05:00,3678.00,3678.00,3676.00,3677.00,427,0\r\n2006-02-08,15:06:00,3677.00,3677.00,3676.00,3676.00,179,0\r\n2006-02-08,15:07:00,3676.00,3676.00,3676.00,3676.00,1,0\r\n2006-02-08,15:08:00,3677.00,3677.00,3677.00,3677.00,32,0\r\n2006-02-08,15:09:00,3677.00,3678.00,3676.00,3678.00,546,0\r\n2006-02-08,15:10:00,3678.00,3678.00,3677.00,3677.00,169,0\r\n2006-02-08,15:11:00,3678.00,3678.00,3678.00,3678.00,130,0\r\n2006-02-08,15:12:00,3678.00,3678.00,3677.00,3677.00,90,0\r\n2006-02-08,15:13:00,3678.00,3678.00,3678.00,3678.00,164,0\r\n2006-02-08,15:14:00,3678.00,3678.00,3678.00,3678.00,25,0\r\n2006-02-08,15:15:00,3678.00,3678.00,3678.00,3678.00,1,0\r\n2006-02-08,15:16:00,3678.00,3678.00,3678.00,3678.00,71,0\r\n2006-02-08,15:17:00,3678.00,3678.00,3677.00,3677.00,201,0\r\n2006-02-08,15:19:00,3676.00,3676.00,3676.00,3676.00,223,0\r\n2006-02-08,15:20:00,3675.00,3676.00,3675.00,3675.00,151,0\r\n2006-02-08,15:21:00,3676.00,3677.00,3675.00,3677.00,425,0\r\n2006-02-08,15:22:00,3677.00,3677.00,3676.00,3677.00,154,0\r\n2006-02-08,15:23:00,3677.00,3677.00,3677.00,3677.00,229,0\r\n2006-02-08,15:24:00,3678.00,3678.00,3677.00,3677.00,62,0\r\n2006-02-08,15:25:00,3677.00,3678.00,3677.00,3678.00,42,0\r\n2006-02-08,15:26:00,3678.00,3678.00,3678.00,3678.00,231,0\r\n2006-02-08,15:27:00,3678.00,3678.00,3677.00,3678.00,61,0\r\n2006-02-08,15:28:00,3678.00,3678.00,3677.00,3677.00,108,0\r\n2006-02-08,15:29:00,3678.00,3678.00,3678.00,3678.00,297,0\r\n2006-02-08,15:30:00,3678.00,3679.00,3678.00,3679.00,74,0\r\n2006-02-08,15:31:00,3679.00,3679.00,3678.00,3678.00,425,0\r\n2006-02-08,15:32:00,3679.00,3682.00,3679.00,3681.00,4038,0\r\n2006-02-08,15:33:00,3681.00,3681.00,3679.00,3681.00,1423,0\r\n2006-02-08,15:34:00,3682.00,3684.00,3682.00,3683.00,2197,0\r\n2006-02-08,15:35:00,3683.00,3684.00,3682.00,3682.00,1344,0\r\n2006-02-08,15:36:00,3682.00,3682.00,3681.00,3681.00,688,0\r\n2006-02-08,15:37:00,3681.00,3682.00,3681.00,3681.00,610,0\r\n2006-02-08,15:38:00,3682.00,3686.00,3681.00,3686.00,3904,0\r\n2006-02-08,15:39:00,3686.00,3687.00,3685.00,3687.00,2674,0\r\n2006-02-08,15:40:00,3686.00,3687.00,3685.00,3685.00,2396,0\r\n2006-02-08,15:41:00,3685.00,3686.00,3684.00,3686.00,1497,0\r\n2006-02-08,15:42:00,3686.00,3687.00,3686.00,3687.00,963,0\r\n2006-02-08,15:43:00,3687.00,3687.00,3685.00,3685.00,2005,0\r\n2006-02-08,15:44:00,3686.00,3686.00,3684.00,3685.00,1278,0\r\n2006-02-08,15:45:00,3685.00,3686.00,3685.00,3685.00,1622,0\r\n2006-02-08,15:46:00,3685.00,3685.00,3681.00,3681.00,2504,0\r\n2006-02-08,15:47:00,3681.00,3682.00,3678.00,3679.00,2222,0\r\n2006-02-08,15:48:00,3680.00,3681.00,3679.00,3680.00,2095,0\r\n2006-02-08,15:49:00,3680.00,3680.00,3679.00,3679.00,374,0\r\n2006-02-08,15:50:00,3680.00,3680.00,3678.00,3679.00,1647,0\r\n2006-02-08,15:51:00,3679.00,3680.00,3677.00,3677.00,3582,0\r\n2006-02-08,15:52:00,3677.00,3679.00,3677.00,3677.00,1406,0\r\n2006-02-08,15:53:00,3677.00,3678.00,3675.00,3675.00,2703,0\r\n2006-02-08,15:54:00,3675.00,3678.00,3675.00,3676.00,1624,0\r\n2006-02-08,15:55:00,3676.00,3678.00,3676.00,3677.00,404,0\r\n2006-02-08,15:56:00,3677.00,3678.00,3676.00,3678.00,1250,0\r\n2006-02-08,15:57:00,3678.00,3678.00,3675.00,3676.00,3112,0\r\n2006-02-08,15:58:00,3675.00,3675.00,3672.00,3673.00,4664,0\r\n2006-02-08,15:59:00,3673.00,3676.00,3673.00,3676.00,2064,0\r\n2006-02-08,16:00:00,3676.00,3676.00,3674.00,3674.00,743,0\r\n2006-02-08,16:01:00,3674.00,3674.00,3671.00,3672.00,2364,0\r\n2006-02-08,16:02:00,3671.00,3676.00,3671.00,3675.00,1392,0\r\n2006-02-08,16:03:00,3675.00,3677.00,3674.00,3676.00,1076,0\r\n2006-02-08,16:04:00,3676.00,3678.00,3676.00,3678.00,435,0\r\n2006-02-08,16:05:00,3678.00,3679.00,3677.00,3679.00,1665,0\r\n2006-02-08,16:06:00,3678.00,3679.00,3678.00,3678.00,828,0\r\n2006-02-08,16:07:00,3678.00,3679.00,3677.00,3678.00,2214,0\r\n2006-02-08,16:08:00,3678.00,3678.00,3676.00,3676.00,594,0\r\n2006-02-08,16:09:00,3676.00,3677.00,3675.00,3676.00,450,0\r\n2006-02-08,16:10:00,3675.00,3678.00,3675.00,3677.00,883,0\r\n2006-02-08,16:11:00,3677.00,3679.00,3676.00,3679.00,1149,0\r\n2006-02-08,16:12:00,3678.00,3680.00,3678.00,3679.00,1807,0\r\n2006-02-08,16:13:00,3678.00,3678.00,3677.00,3678.00,1115,0\r\n2006-02-08,16:14:00,3678.00,3678.00,3676.00,3678.00,1005,0\r\n2006-02-08,16:15:00,3678.00,3679.00,3678.00,3678.00,402,0\r\n2006-02-08,16:16:00,3678.00,3679.00,3678.00,3679.00,370,0\r\n2006-02-08,16:17:00,3679.00,3680.00,3678.00,3679.00,580,0\r\n2006-02-08,16:18:00,3678.00,3681.00,3678.00,3680.00,1886,0\r\n2006-02-08,16:19:00,3680.00,3680.00,3678.00,3678.00,2041,0\r\n2006-02-08,16:20:00,3678.00,3678.00,3675.00,3677.00,1318,0\r\n2006-02-08,16:21:00,3677.00,3678.00,3676.00,3677.00,1336,0\r\n2006-02-08,16:22:00,3676.00,3678.00,3676.00,3678.00,1040,0\r\n2006-02-08,16:23:00,3678.00,3679.00,3676.00,3679.00,2395,0\r\n2006-02-08,16:24:00,3679.00,3680.00,3677.00,3678.00,533,0\r\n2006-02-08,16:25:00,3678.00,3680.00,3677.00,3679.00,960,0\r\n2006-02-08,16:26:00,3680.00,3681.00,3679.00,3679.00,1635,0\r\n2006-02-08,16:27:00,3679.00,3680.00,3678.00,3678.00,579,0\r\n2006-02-08,16:28:00,3678.00,3681.00,3678.00,3681.00,686,0\r\n2006-02-08,16:29:00,3680.00,3684.00,3680.00,3683.00,2279,0\r\n2006-02-08,16:30:00,3683.00,3686.00,3683.00,3686.00,2452,0\r\n2006-02-08,16:31:00,3686.00,3686.00,3682.00,3682.00,2711,0\r\n2006-02-08,16:32:00,3682.00,3683.00,3681.00,3683.00,2834,0\r\n2006-02-08,16:33:00,3682.00,3684.00,3681.00,3682.00,1229,0\r\n2006-02-08,16:34:00,3681.00,3682.00,3680.00,3680.00,1989,0\r\n2006-02-08,16:35:00,3680.00,3682.00,3679.00,3681.00,1735,0\r\n2006-02-08,16:36:00,3680.00,3682.00,3680.00,3681.00,681,0\r\n2006-02-08,16:37:00,3681.00,3684.00,3681.00,3683.00,2578,0\r\n2006-02-08,16:38:00,3683.00,3683.00,3680.00,3681.00,956,0\r\n2006-02-08,16:39:00,3681.00,3682.00,3681.00,3681.00,785,0\r\n2006-02-08,16:40:00,3681.00,3682.00,3680.00,3681.00,1732,0\r\n2006-02-08,16:41:00,3682.00,3684.00,3681.00,3682.00,1356,0\r\n2006-02-08,16:42:00,3681.00,3681.00,3681.00,3681.00,145,0\r\n2006-02-08,16:43:00,3681.00,3682.00,3679.00,3679.00,1249,0\r\n2006-02-08,16:44:00,3679.00,3680.00,3678.00,3678.00,2089,0\r\n2006-02-08,16:45:00,3678.00,3680.00,3678.00,3679.00,1043,0\r\n2006-02-08,16:46:00,3680.00,3680.00,3677.00,3678.00,2182,0\r\n2006-02-08,16:47:00,3678.00,3680.00,3678.00,3679.00,918,0\r\n2006-02-08,16:48:00,3679.00,3680.00,3678.00,3679.00,378,0\r\n2006-02-08,16:49:00,3678.00,3680.00,3677.00,3677.00,1006,0\r\n2006-02-08,16:50:00,3677.00,3678.00,3676.00,3676.00,1691,0\r\n2006-02-08,16:51:00,3676.00,3676.00,3674.00,3676.00,3196,0\r\n2006-02-08,16:52:00,3676.00,3678.00,3676.00,3678.00,1554,0\r\n2006-02-08,16:53:00,3678.00,3678.00,3675.00,3676.00,1081,0\r\n2006-02-08,16:54:00,3676.00,3677.00,3676.00,3676.00,722,0\r\n2006-02-08,16:55:00,3676.00,3678.00,3676.00,3677.00,1636,0\r\n2006-02-08,16:56:00,3677.00,3677.00,3676.00,3677.00,491,0\r\n2006-02-08,16:57:00,3677.00,3677.00,3675.00,3675.00,812,0\r\n2006-02-08,16:58:00,3675.00,3676.00,3675.00,3675.00,426,0\r\n2006-02-08,16:59:00,3675.00,3677.00,3675.00,3676.00,922,0\r\n2006-02-08,17:00:00,3677.00,3677.00,3675.00,3676.00,508,0\r\n2006-02-08,17:01:00,3675.00,3677.00,3675.00,3676.00,223,0\r\n2006-02-08,17:02:00,3676.00,3679.00,3676.00,3678.00,1508,0\r\n2006-02-08,17:03:00,3678.00,3683.00,3678.00,3682.00,2728,0\r\n2006-02-08,17:04:00,3682.00,3684.00,3681.00,3682.00,1801,0\r\n2006-02-08,17:05:00,3682.00,3682.00,3680.00,3680.00,1020,0\r\n2006-02-08,17:06:00,3681.00,3681.00,3679.00,3679.00,3016,0\r\n2006-02-08,17:07:00,3679.00,3680.00,3679.00,3680.00,394,0\r\n2006-02-08,17:08:00,3679.00,3680.00,3679.00,3679.00,241,0\r\n2006-02-08,17:09:00,3679.00,3680.00,3678.00,3679.00,833,0\r\n2006-02-08,17:10:00,3679.00,3679.00,3677.00,3677.00,369,0\r\n2006-02-08,17:11:00,3677.00,3677.00,3675.00,3677.00,2322,0\r\n2006-02-08,17:12:00,3677.00,3679.00,3676.00,3679.00,1150,0\r\n2006-02-08,17:13:00,3678.00,3682.00,3678.00,3682.00,1943,0\r\n2006-02-08,17:14:00,3682.00,3683.00,3681.00,3681.00,1097,0\r\n2006-02-08,17:15:00,3681.00,3682.00,3681.00,3682.00,935,0\r\n2006-02-08,17:16:00,3682.00,3684.00,3682.00,3683.00,1836,0\r\n2006-02-08,17:17:00,3682.00,3683.00,3681.00,3682.00,785,0\r\n2006-02-08,17:18:00,3682.00,3682.00,3681.00,3681.00,1289,0\r\n2006-02-08,17:19:00,3682.00,3682.00,3680.00,3680.00,940,0\r\n2006-02-08,17:20:00,3680.00,3681.00,3680.00,3681.00,732,0\r\n2006-02-08,17:21:00,3680.00,3681.00,3680.00,3680.00,214,0\r\n2006-02-08,17:22:00,3680.00,3681.00,3679.00,3680.00,1039,0\r\n2006-02-08,17:23:00,3680.00,3682.00,3680.00,3681.00,1158,0\r\n2006-02-08,17:24:00,3682.00,3682.00,3680.00,3681.00,1096,0\r\n2006-02-08,17:25:00,3681.00,3683.00,3680.00,3681.00,929,0\r\n2006-02-08,17:26:00,3681.00,3682.00,3681.00,3682.00,1831,0\r\n2006-02-08,17:27:00,3682.00,3682.00,3679.00,3679.00,886,0\r\n2006-02-08,17:28:00,3679.00,3681.00,3679.00,3679.00,1532,0\r\n2006-02-08,17:29:00,3679.00,3681.00,3679.00,3680.00,2849,0\r\n2006-02-08,17:30:00,3680.00,3683.00,3678.00,3679.00,5764,0\r\n2006-02-08,17:31:00,3679.00,3681.00,3678.00,3680.00,3273,0\r\n2006-02-08,17:32:00,3680.00,3680.00,3679.00,3680.00,1537,0\r\n2006-02-08,17:33:00,3681.00,3681.00,3679.00,3679.00,2802,0\r\n2006-02-08,17:34:00,3679.00,3680.00,3679.00,3679.00,1095,0\r\n2006-02-08,17:35:00,3679.00,3680.00,3679.00,3680.00,730,0\r\n2006-02-08,17:36:00,3680.00,3680.00,3678.00,3678.00,1642,0\r\n2006-02-08,17:37:00,3679.00,3679.00,3679.00,3679.00,197,0\r\n2006-02-08,17:38:00,3679.00,3680.00,3678.00,3679.00,1333,0\r\n2006-02-08,17:39:00,3679.00,3679.00,3677.00,3678.00,1975,0\r\n2006-02-08,17:40:00,3679.00,3680.00,3679.00,3680.00,461,0\r\n2006-02-08,17:41:00,3679.00,3681.00,3679.00,3681.00,756,0\r\n2006-02-08,17:42:00,3680.00,3682.00,3680.00,3682.00,1187,0\r\n2006-02-08,17:43:00,3682.00,3683.00,3681.00,3682.00,6989,0\r\n2006-02-08,17:44:00,3682.00,3682.00,3681.00,3681.00,897,0\r\n2006-02-08,17:45:00,3682.00,3682.00,3681.00,3681.00,544,0\r\n2006-02-08,17:46:00,3681.00,3682.00,3681.00,3682.00,713,0\r\n2006-02-08,17:47:00,3682.00,3684.00,3682.00,3683.00,1116,0\r\n2006-02-08,17:48:00,3684.00,3684.00,3682.00,3684.00,1068,0\r\n2006-02-08,17:49:00,3684.00,3684.00,3682.00,3683.00,852,0\r\n2006-02-08,17:50:00,3682.00,3684.00,3682.00,3684.00,332,0\r\n2006-02-08,17:51:00,3683.00,3685.00,3683.00,3684.00,495,0\r\n2006-02-08,17:52:00,3684.00,3685.00,3684.00,3684.00,436,0\r\n2006-02-08,17:53:00,3684.00,3685.00,3684.00,3685.00,764,0\r\n2006-02-08,17:54:00,3685.00,3685.00,3684.00,3685.00,956,0\r\n2006-02-08,17:55:00,3684.00,3684.00,3683.00,3683.00,708,0\r\n2006-02-08,17:56:00,3683.00,3684.00,3682.00,3683.00,405,0\r\n2006-02-08,17:57:00,3683.00,3684.00,3682.00,3682.00,591,0\r\n2006-02-08,17:58:00,3681.00,3682.00,3681.00,3682.00,372,0\r\n2006-02-08,17:59:00,3682.00,3683.00,3682.00,3682.00,78,0\r\n2006-02-08,18:00:00,3683.00,3683.00,3682.00,3683.00,968,0\r\n2006-02-08,18:01:00,3683.00,3685.00,3683.00,3685.00,381,0\r\n2006-02-08,18:02:00,3685.00,3689.00,3685.00,3689.00,4225,0\r\n2006-02-08,18:03:00,3689.00,3691.00,3689.00,3689.00,2367,0\r\n2006-02-08,18:04:00,3689.00,3692.00,3688.00,3692.00,2351,0\r\n2006-02-08,18:05:00,3692.00,3696.00,3692.00,3695.00,4048,0\r\n2006-02-08,18:06:00,3695.00,3698.00,3695.00,3697.00,1854,0\r\n2006-02-08,18:07:00,3697.00,3698.00,3696.00,3696.00,2219,0\r\n2006-02-08,18:08:00,3697.00,3697.00,3694.00,3694.00,710,0\r\n2006-02-08,18:09:00,3694.00,3695.00,3694.00,3694.00,336,0\r\n2006-02-08,18:10:00,3695.00,3695.00,3694.00,3695.00,231,0\r\n2006-02-08,18:11:00,3694.00,3695.00,3694.00,3695.00,315,0\r\n2006-02-08,18:12:00,3694.00,3694.00,3693.00,3693.00,1178,0\r\n2006-02-08,18:13:00,3693.00,3694.00,3692.00,3694.00,380,0\r\n2006-02-08,18:14:00,3694.00,3695.00,3693.00,3694.00,614,0\r\n2006-02-08,18:15:00,3694.00,3694.00,3693.00,3693.00,41,0\r\n2006-02-08,18:16:00,3693.00,3694.00,3692.00,3693.00,429,0\r\n2006-02-08,18:17:00,3693.00,3694.00,3693.00,3694.00,338,0\r\n2006-02-08,18:18:00,3694.00,3695.00,3694.00,3694.00,80,0\r\n2006-02-08,18:19:00,3694.00,3695.00,3694.00,3694.00,231,0\r\n2006-02-08,18:20:00,3693.00,3693.00,3693.00,3693.00,232,0\r\n2006-02-08,18:21:00,3694.00,3694.00,3694.00,3694.00,123,0\r\n2006-02-08,18:22:00,3694.00,3696.00,3694.00,3696.00,358,0\r\n2006-02-08,18:23:00,3696.00,3699.00,3696.00,3698.00,2125,0\r\n2006-02-08,18:24:00,3698.00,3698.00,3696.00,3697.00,535,0\r\n2006-02-08,18:25:00,3697.00,3697.00,3694.00,3694.00,842,0\r\n2006-02-08,18:26:00,3694.00,3694.00,3694.00,3694.00,106,0\r\n2006-02-08,18:27:00,3695.00,3695.00,3694.00,3695.00,108,0\r\n2006-02-08,18:28:00,3695.00,3696.00,3695.00,3695.00,181,0\r\n2006-02-08,18:29:00,3695.00,3695.00,3695.00,3695.00,7,0\r\n2006-02-08,18:30:00,3694.00,3694.00,3693.00,3694.00,233,0\r\n2006-02-08,18:31:00,3694.00,3694.00,3694.00,3694.00,156,0\r\n2006-02-08,18:32:00,3695.00,3695.00,3695.00,3695.00,6,0\r\n2006-02-08,18:33:00,3694.00,3694.00,3694.00,3694.00,229,0\r\n2006-02-08,18:34:00,3694.00,3696.00,3693.00,3696.00,706,0\r\n2006-02-08,18:35:00,3696.00,3696.00,3695.00,3695.00,255,0\r\n2006-02-08,18:36:00,3695.00,3695.00,3695.00,3695.00,57,0\r\n2006-02-08,18:37:00,3695.00,3696.00,3695.00,3696.00,68,0\r\n2006-02-08,18:38:00,3695.00,3696.00,3695.00,3696.00,149,0\r\n2006-02-08,18:39:00,3696.00,3697.00,3695.00,3697.00,357,0\r\n2006-02-08,18:40:00,3698.00,3698.00,3697.00,3697.00,631,0\r\n2006-02-08,18:41:00,3697.00,3700.00,3697.00,3699.00,1270,0\r\n2006-02-08,18:42:00,3699.00,3699.00,3699.00,3699.00,273,0\r\n2006-02-08,18:43:00,3699.00,3700.00,3699.00,3699.00,351,0\r\n2006-02-08,18:44:00,3699.00,3699.00,3697.00,3697.00,261,0\r\n2006-02-08,18:45:00,3697.00,3698.00,3697.00,3698.00,105,0\r\n2006-02-08,18:46:00,3697.00,3697.00,3697.00,3697.00,105,0\r\n2006-02-08,18:47:00,3697.00,3700.00,3697.00,3698.00,1188,0\r\n2006-02-08,18:48:00,3699.00,3701.00,3699.00,3701.00,736,0\r\n2006-02-08,18:49:00,3700.00,3700.00,3699.00,3700.00,636,0\r\n2006-02-08,18:50:00,3700.00,3700.00,3698.00,3699.00,874,0\r\n2006-02-08,18:51:00,3698.00,3698.00,3698.00,3698.00,60,0\r\n2006-02-08,18:52:00,3698.00,3698.00,3696.00,3696.00,423,0\r\n2006-02-08,18:53:00,3697.00,3697.00,3696.00,3696.00,106,0\r\n2006-02-08,18:54:00,3696.00,3696.00,3695.00,3696.00,229,0\r\n2006-02-08,18:55:00,3697.00,3697.00,3697.00,3697.00,120,0\r\n2006-02-08,18:56:00,3698.00,3698.00,3695.00,3696.00,634,0\r\n2006-02-08,18:57:00,3696.00,3696.00,3695.00,3696.00,301,0\r\n2006-02-08,18:58:00,3696.00,3697.00,3696.00,3697.00,35,0\r\n2006-02-08,18:59:00,3696.00,3697.00,3696.00,3696.00,229,0\r\n2006-02-08,19:00:00,3695.00,3696.00,3695.00,3696.00,50,0\r\n2006-02-08,19:01:00,3697.00,3697.00,3696.00,3696.00,288,0\r\n2006-02-08,19:02:00,3696.00,3697.00,3696.00,3697.00,186,0\r\n2006-02-08,19:03:00,3697.00,3697.00,3697.00,3697.00,14,0\r\n2006-02-08,19:04:00,3697.00,3697.00,3696.00,3697.00,169,0\r\n2006-02-08,19:05:00,3697.00,3697.00,3697.00,3697.00,28,0\r\n2006-02-08,19:06:00,3697.00,3697.00,3696.00,3696.00,228,0\r\n2006-02-08,19:07:00,3696.00,3697.00,3696.00,3697.00,104,0\r\n2006-02-08,19:08:00,3696.00,3697.00,3696.00,3696.00,197,0\r\n2006-02-08,19:09:00,3696.00,3696.00,3695.00,3696.00,61,0\r\n2006-02-08,19:10:00,3696.00,3697.00,3696.00,3696.00,59,0\r\n2006-02-08,19:11:00,3696.00,3696.00,3694.00,3694.00,147,0\r\n2006-02-08,19:12:00,3695.00,3696.00,3695.00,3696.00,233,0\r\n2006-02-08,19:13:00,3695.00,3696.00,3695.00,3696.00,87,0\r\n2006-02-08,19:14:00,3696.00,3696.00,3696.00,3696.00,7,0\r\n2006-02-08,19:15:00,3696.00,3696.00,3695.00,3695.00,86,0\r\n2006-02-08,19:16:00,3695.00,3695.00,3694.00,3694.00,82,0\r\n2006-02-08,19:17:00,3694.00,3695.00,3694.00,3695.00,228,0\r\n2006-02-08,19:18:00,3694.00,3694.00,3694.00,3694.00,35,0\r\n2006-02-08,19:19:00,3694.00,3694.00,3693.00,3693.00,135,0\r\n2006-02-08,19:20:00,3694.00,3694.00,3693.00,3693.00,97,0\r\n2006-02-08,19:21:00,3693.00,3694.00,3693.00,3694.00,93,0\r\n2006-02-08,19:22:00,3693.00,3694.00,3693.00,3693.00,23,0\r\n2006-02-08,19:23:00,3693.00,3693.00,3692.00,3692.00,157,0\r\n2006-02-08,19:24:00,3693.00,3693.00,3693.00,3693.00,33,0\r\n2006-02-08,19:25:00,3693.00,3693.00,3691.00,3691.00,556,0\r\n2006-02-08,19:26:00,3692.00,3692.00,3690.00,3690.00,1163,0\r\n2006-02-08,19:27:00,3690.00,3694.00,3690.00,3693.00,700,0\r\n2006-02-08,19:28:00,3694.00,3695.00,3693.00,3694.00,701,0\r\n2006-02-08,19:29:00,3694.00,3694.00,3694.00,3694.00,64,0\r\n2006-02-08,19:30:00,3693.00,3694.00,3693.00,3694.00,119,0\r\n2006-02-08,19:31:00,3694.00,3694.00,3694.00,3694.00,37,0\r\n2006-02-08,19:32:00,3695.00,3697.00,3695.00,3697.00,283,0\r\n2006-02-08,19:33:00,3697.00,3697.00,3696.00,3696.00,253,0\r\n2006-02-08,19:34:00,3696.00,3696.00,3696.00,3696.00,220,0\r\n2006-02-08,19:35:00,3695.00,3695.00,3693.00,3693.00,122,0\r\n2006-02-08,19:36:00,3694.00,3694.00,3692.00,3692.00,276,0\r\n2006-02-08,19:37:00,3693.00,3694.00,3693.00,3694.00,110,0\r\n2006-02-08,19:38:00,3694.00,3694.00,3693.00,3694.00,33,0\r\n2006-02-08,19:39:00,3693.00,3693.00,3693.00,3693.00,52,0\r\n2006-02-08,19:40:00,3694.00,3696.00,3694.00,3695.00,168,0\r\n2006-02-08,19:41:00,3696.00,3696.00,3694.00,3694.00,58,0\r\n2006-02-08,19:42:00,3694.00,3694.00,3694.00,3694.00,8,0\r\n2006-02-08,19:43:00,3694.00,3695.00,3694.00,3695.00,138,0\r\n2006-02-08,19:44:00,3695.00,3695.00,3695.00,3695.00,79,0\r\n2006-02-08,19:45:00,3695.00,3695.00,3695.00,3695.00,48,0\r\n2006-02-08,19:46:00,3694.00,3694.00,3693.00,3693.00,353,0\r\n2006-02-08,19:47:00,3694.00,3694.00,3694.00,3694.00,3,0\r\n2006-02-08,19:48:00,3694.00,3694.00,3693.00,3693.00,62,0\r\n2006-02-08,19:49:00,3693.00,3693.00,3693.00,3693.00,3,0\r\n2006-02-08,19:50:00,3694.00,3694.00,3694.00,3694.00,32,0\r\n2006-02-08,19:51:00,3694.00,3694.00,3692.00,3694.00,618,0\r\n2006-02-08,19:52:00,3695.00,3695.00,3695.00,3695.00,251,0\r\n2006-02-08,19:53:00,3695.00,3695.00,3694.00,3695.00,118,0\r\n2006-02-08,19:54:00,3695.00,3695.00,3694.00,3694.00,161,0\r\n2006-02-08,19:55:00,3693.00,3694.00,3693.00,3694.00,111,0\r\n2006-02-08,19:56:00,3693.00,3695.00,3692.00,3695.00,682,0\r\n2006-02-08,19:57:00,3695.00,3695.00,3695.00,3695.00,129,0\r\n2006-02-08,19:58:00,3695.00,3696.00,3695.00,3695.00,108,0\r\n2006-02-08,19:59:00,3695.00,3699.00,3695.00,3697.00,1251,0\r\n2006-02-08,20:00:00,3697.00,3698.00,3697.00,3698.00,104,0\r\n2006-02-08,20:01:00,3698.00,3698.00,3696.00,3696.00,188,0\r\n2006-02-08,20:02:00,3696.00,3696.00,3696.00,3696.00,39,0\r\n2006-02-08,20:03:00,3697.00,3697.00,3697.00,3697.00,154,0\r\n2006-02-08,20:04:00,3697.00,3698.00,3697.00,3698.00,228,0\r\n2006-02-08,20:05:00,3698.00,3698.00,3698.00,3698.00,11,0\r\n2006-02-08,20:06:00,3698.00,3699.00,3698.00,3698.00,10,0\r\n2006-02-08,20:07:00,3697.00,3697.00,3696.00,3696.00,78,0\r\n2006-02-08,20:08:00,3697.00,3697.00,3697.00,3697.00,15,0\r\n2006-02-08,20:09:00,3697.00,3697.00,3697.00,3697.00,13,0\r\n2006-02-08,20:10:00,3697.00,3697.00,3695.00,3695.00,56,0\r\n2006-02-08,20:11:00,3695.00,3695.00,3695.00,3695.00,42,0\r\n2006-02-08,20:13:00,3696.00,3696.00,3695.00,3695.00,28,0\r\n2006-02-08,20:14:00,3695.00,3695.00,3694.00,3694.00,39,0\r\n2006-02-08,20:15:00,3694.00,3694.00,3692.00,3694.00,598,0\r\n2006-02-08,20:16:00,3694.00,3694.00,3692.00,3693.00,189,0\r\n2006-02-08,20:17:00,3693.00,3693.00,3693.00,3693.00,57,0\r\n2006-02-08,20:18:00,3693.00,3693.00,3692.00,3692.00,326,0\r\n2006-02-08,20:19:00,3691.00,3691.00,3690.00,3691.00,379,0\r\n2006-02-08,20:20:00,3690.00,3691.00,3689.00,3689.00,203,0\r\n2006-02-08,20:21:00,3690.00,3692.00,3690.00,3691.00,77,0\r\n2006-02-08,20:22:00,3691.00,3691.00,3691.00,3691.00,15,0\r\n2006-02-08,20:23:00,3692.00,3692.00,3692.00,3692.00,54,0\r\n2006-02-08,20:24:00,3692.00,3694.00,3691.00,3694.00,100,0\r\n2006-02-08,20:25:00,3693.00,3693.00,3693.00,3693.00,17,0\r\n2006-02-08,20:26:00,3693.00,3693.00,3693.00,3693.00,5,0\r\n2006-02-08,20:27:00,3694.00,3694.00,3693.00,3693.00,219,0\r\n2006-02-08,20:28:00,3692.00,3693.00,3692.00,3692.00,96,0\r\n2006-02-08,20:31:00,3692.00,3692.00,3692.00,3692.00,29,0\r\n2006-02-08,20:32:00,3692.00,3694.00,3692.00,3694.00,336,0\r\n2006-02-08,20:33:00,3694.00,3694.00,3694.00,3694.00,81,0\r\n2006-02-08,20:34:00,3694.00,3694.00,3693.00,3693.00,180,0\r\n2006-02-08,20:35:00,3693.00,3693.00,3693.00,3693.00,10,0\r\n2006-02-08,20:36:00,3692.00,3692.00,3692.00,3692.00,37,0\r\n2006-02-08,20:37:00,3692.00,3692.00,3691.00,3692.00,30,0\r\n2006-02-08,20:38:00,3692.00,3692.00,3691.00,3692.00,11,0\r\n2006-02-08,20:39:00,3692.00,3692.00,3692.00,3692.00,7,0\r\n2006-02-08,20:40:00,3692.00,3692.00,3692.00,3692.00,44,0\r\n2006-02-08,20:41:00,3692.00,3692.00,3692.00,3692.00,17,0\r\n2006-02-08,20:42:00,3692.00,3694.00,3692.00,3694.00,73,0\r\n2006-02-08,20:43:00,3694.00,3695.00,3694.00,3694.00,116,0\r\n2006-02-08,20:44:00,3694.00,3694.00,3694.00,3694.00,3,0\r\n2006-02-08,20:45:00,3694.00,3694.00,3694.00,3694.00,35,0\r\n2006-02-08,20:46:00,3694.00,3694.00,3694.00,3694.00,104,0\r\n2006-02-08,20:47:00,3694.00,3694.00,3693.00,3693.00,26,0\r\n2006-02-08,20:49:00,3694.00,3694.00,3693.00,3693.00,12,0\r\n2006-02-08,20:51:00,3693.00,3695.00,3693.00,3695.00,122,0\r\n2006-02-08,20:52:00,3695.00,3696.00,3695.00,3696.00,185,0\r\n2006-02-08,20:53:00,3695.00,3695.00,3695.00,3695.00,17,0\r\n2006-02-08,20:54:00,3695.00,3695.00,3695.00,3695.00,4,0\r\n2006-02-08,20:56:00,3695.00,3695.00,3695.00,3695.00,70,0\r\n2006-02-08,20:57:00,3696.00,3697.00,3696.00,3696.00,367,0\r\n2006-02-08,20:58:00,3696.00,3696.00,3695.00,3695.00,87,0\r\n2006-02-08,20:59:00,3696.00,3696.00,3695.00,3695.00,12,0\r\n2006-02-08,21:00:00,3694.00,3694.00,3694.00,3694.00,5,0\r\n2006-02-08,21:01:00,3695.00,3695.00,3695.00,3695.00,27,0\r\n2006-02-08,21:02:00,3694.00,3694.00,3694.00,3694.00,3,0\r\n2006-02-08,21:03:00,3694.00,3694.00,3692.00,3692.00,84,0\r\n2006-02-08,21:04:00,3693.00,3694.00,3693.00,3694.00,128,0\r\n2006-02-08,21:05:00,3695.00,3698.00,3695.00,3698.00,306,0\r\n2006-02-08,21:06:00,3698.00,3698.00,3697.00,3697.00,33,0\r\n2006-02-08,21:07:00,3697.00,3697.00,3697.00,3697.00,1,0\r\n2006-02-08,21:08:00,3699.00,3704.00,3699.00,3703.00,1818,0\r\n2006-02-08,21:09:00,3702.00,3702.00,3702.00,3702.00,101,0\r\n2006-02-08,21:10:00,3702.00,3703.00,3702.00,3703.00,76,0\r\n2006-02-08,21:11:00,3703.00,3703.00,3703.00,3703.00,36,0\r\n2006-02-08,21:12:00,3703.00,3703.00,3702.00,3703.00,36,0\r\n2006-02-08,21:13:00,3703.00,3703.00,3703.00,3703.00,32,0\r\n2006-02-08,21:15:00,3703.00,3704.00,3703.00,3704.00,140,0\r\n2006-02-08,21:16:00,3704.00,3704.00,3703.00,3703.00,150,0\r\n2006-02-08,21:17:00,3703.00,3704.00,3703.00,3704.00,174,0\r\n2006-02-08,21:18:00,3704.00,3704.00,3703.00,3703.00,36,0\r\n2006-02-08,21:19:00,3703.00,3703.00,3703.00,3703.00,56,0\r\n2006-02-08,21:20:00,3704.00,3705.00,3704.00,3704.00,296,0\r\n2006-02-08,21:21:00,3705.00,3705.00,3704.00,3704.00,101,0\r\n2006-02-08,21:22:00,3704.00,3704.00,3703.00,3703.00,118,0\r\n2006-02-08,21:23:00,3704.00,3705.00,3704.00,3705.00,102,0\r\n2006-02-08,21:24:00,3705.00,3706.00,3704.00,3704.00,1781,0\r\n2006-02-08,21:25:00,3704.00,3704.00,3704.00,3704.00,79,0\r\n2006-02-08,21:26:00,3703.00,3704.00,3703.00,3704.00,48,0\r\n2006-02-08,21:27:00,3703.00,3703.00,3702.00,3703.00,144,0\r\n2006-02-08,21:28:00,3703.00,3703.00,3703.00,3703.00,74,0\r\n2006-02-08,21:29:00,3703.00,3704.00,3703.00,3703.00,60,0\r\n2006-02-08,21:31:00,3703.00,3703.00,3703.00,3703.00,27,0\r\n2006-02-08,21:33:00,3703.00,3703.00,3702.00,3702.00,17,0\r\n2006-02-08,21:34:00,3703.00,3703.00,3703.00,3703.00,41,0\r\n2006-02-08,21:35:00,3703.00,3703.00,3702.00,3703.00,38,0\r\n2006-02-08,21:36:00,3703.00,3703.00,3703.00,3703.00,5,0\r\n2006-02-08,21:37:00,3704.00,3704.00,3704.00,3704.00,45,0\r\n2006-02-08,21:38:00,3704.00,3704.00,3703.00,3704.00,104,0\r\n2006-02-08,21:39:00,3704.00,3704.00,3703.00,3704.00,81,0\r\n2006-02-08,21:40:00,3705.00,3705.00,3704.00,3705.00,60,0\r\n2006-02-08,21:41:00,3705.00,3705.00,3705.00,3705.00,8,0\r\n2006-02-08,21:42:00,3705.00,3705.00,3705.00,3705.00,1,0\r\n2006-02-08,21:43:00,3705.00,3705.00,3705.00,3705.00,222,0\r\n2006-02-08,21:44:00,3705.00,3705.00,3705.00,3705.00,146,0\r\n2006-02-08,21:45:00,3705.00,3706.00,3705.00,3706.00,598,0\r\n2006-02-08,21:46:00,3706.00,3706.00,3706.00,3706.00,169,0\r\n2006-02-08,21:47:00,3706.00,3707.00,3706.00,3707.00,443,0\r\n2006-02-08,21:48:00,3708.00,3708.00,3707.00,3707.00,301,0\r\n2006-02-08,21:49:00,3707.00,3707.00,3706.00,3706.00,28,0\r\n2006-02-08,21:50:00,3706.00,3706.00,3706.00,3706.00,25,0\r\n2006-02-08,21:52:00,3706.00,3707.00,3706.00,3707.00,40,0\r\n2006-02-08,21:53:00,3706.00,3706.00,3706.00,3706.00,63,0\r\n2006-02-08,21:54:00,3706.00,3706.00,3706.00,3706.00,9,0\r\n2006-02-08,21:55:00,3706.00,3707.00,3706.00,3707.00,149,0\r\n2006-02-08,21:56:00,3707.00,3708.00,3706.00,3706.00,204,0\r\n2006-02-08,21:57:00,3706.00,3706.00,3705.00,3706.00,164,0\r\n2006-02-08,21:58:00,3706.00,3708.00,3706.00,3708.00,21,0\r\n2006-02-08,21:59:00,3707.00,3707.00,3706.00,3706.00,88,0\r\n2006-02-08,22:00:00,3706.00,3708.00,3706.00,3708.00,254,0\r\n2006-02-09,09:01:00,3705.00,3707.00,3705.00,3705.00,5620,0\r\n2006-02-09,09:02:00,3705.00,3708.00,3704.00,3707.00,3626,0\r\n2006-02-09,09:03:00,3707.00,3715.00,3707.00,3714.00,7128,0\r\n2006-02-09,09:04:00,3715.00,3718.00,3714.00,3715.00,7252,0\r\n2006-02-09,09:05:00,3715.00,3715.00,3712.00,3714.00,3333,0\r\n2006-02-09,09:06:00,3714.00,3715.00,3713.00,3715.00,2426,0\r\n2006-02-09,09:07:00,3714.00,3716.00,3714.00,3715.00,2683,0\r\n2006-02-09,09:08:00,3714.00,3718.00,3714.00,3716.00,2733,0\r\n2006-02-09,09:09:00,3716.00,3716.00,3714.00,3715.00,2280,0\r\n2006-02-09,09:10:00,3714.00,3716.00,3713.00,3715.00,3553,0\r\n2006-02-09,09:11:00,3715.00,3717.00,3715.00,3717.00,2586,0\r\n2006-02-09,09:12:00,3718.00,3718.00,3715.00,3715.00,826,0\r\n2006-02-09,09:13:00,3715.00,3717.00,3715.00,3716.00,874,0\r\n2006-02-09,09:14:00,3716.00,3718.00,3715.00,3715.00,2370,0\r\n2006-02-09,09:15:00,3716.00,3719.00,3716.00,3717.00,2725,0\r\n2006-02-09,09:16:00,3717.00,3718.00,3715.00,3715.00,1608,0\r\n2006-02-09,09:17:00,3714.00,3715.00,3714.00,3715.00,496,0\r\n2006-02-09,09:18:00,3715.00,3716.00,3713.00,3713.00,2176,0\r\n2006-02-09,09:19:00,3713.00,3714.00,3713.00,3714.00,1510,0\r\n2006-02-09,09:20:00,3713.00,3714.00,3712.00,3713.00,985,0\r\n2006-02-09,09:21:00,3714.00,3715.00,3713.00,3715.00,702,0\r\n2006-02-09,09:22:00,3715.00,3716.00,3713.00,3713.00,1410,0\r\n2006-02-09,09:23:00,3713.00,3714.00,3712.00,3713.00,925,0\r\n2006-02-09,09:24:00,3712.00,3713.00,3711.00,3712.00,1035,0\r\n2006-02-09,09:25:00,3712.00,3712.00,3711.00,3711.00,1273,0\r\n2006-02-09,09:26:00,3711.00,3712.00,3708.00,3708.00,2730,0\r\n2006-02-09,09:27:00,3708.00,3708.00,3706.00,3707.00,2130,0\r\n2006-02-09,09:28:00,3708.00,3709.00,3707.00,3708.00,506,0\r\n2006-02-09,09:29:00,3708.00,3710.00,3708.00,3709.00,360,0\r\n2006-02-09,09:30:00,3710.00,3711.00,3709.00,3709.00,1269,0\r\n2006-02-09,09:31:00,3708.00,3710.00,3708.00,3708.00,633,0\r\n2006-02-09,09:32:00,3708.00,3710.00,3707.00,3708.00,1274,0\r\n2006-02-09,09:33:00,3709.00,3711.00,3708.00,3710.00,1043,0\r\n2006-02-09,09:34:00,3710.00,3711.00,3710.00,3710.00,449,0\r\n2006-02-09,09:35:00,3710.00,3711.00,3710.00,3710.00,533,0\r\n2006-02-09,09:36:00,3709.00,3711.00,3709.00,3710.00,711,0\r\n2006-02-09,09:37:00,3709.00,3711.00,3708.00,3710.00,695,0\r\n2006-02-09,09:38:00,3710.00,3710.00,3708.00,3708.00,1219,0\r\n2006-02-09,09:39:00,3708.00,3710.00,3708.00,3709.00,215,0\r\n2006-02-09,09:40:00,3708.00,3708.00,3707.00,3708.00,697,0\r\n2006-02-09,09:41:00,3708.00,3708.00,3705.00,3707.00,1386,0\r\n2006-02-09,09:42:00,3706.00,3709.00,3706.00,3708.00,2828,0\r\n2006-02-09,09:43:00,3708.00,3711.00,3707.00,3710.00,1040,0\r\n2006-02-09,09:44:00,3710.00,3713.00,3709.00,3713.00,1539,0\r\n2006-02-09,09:45:00,3712.00,3712.00,3711.00,3712.00,536,0\r\n2006-02-09,09:46:00,3712.00,3714.00,3712.00,3714.00,485,0\r\n2006-02-09,09:47:00,3714.00,3715.00,3712.00,3715.00,2346,0\r\n2006-02-09,09:48:00,3715.00,3715.00,3713.00,3713.00,1022,0\r\n2006-02-09,09:49:00,3713.00,3715.00,3713.00,3714.00,1116,0\r\n2006-02-09,09:50:00,3714.00,3714.00,3713.00,3713.00,738,0\r\n2006-02-09,09:51:00,3714.00,3714.00,3712.00,3713.00,692,0\r\n2006-02-09,09:52:00,3713.00,3714.00,3712.00,3714.00,529,0\r\n2006-02-09,09:53:00,3714.00,3715.00,3714.00,3715.00,182,0\r\n2006-02-09,09:54:00,3715.00,3715.00,3714.00,3714.00,1505,0\r\n2006-02-09,09:55:00,3715.00,3717.00,3715.00,3716.00,1202,0\r\n2006-02-09,09:56:00,3716.00,3716.00,3715.00,3715.00,496,0\r\n2006-02-09,09:57:00,3716.00,3716.00,3715.00,3715.00,1316,0\r\n2006-02-09,09:58:00,3714.00,3716.00,3712.00,3713.00,1117,0\r\n2006-02-09,09:59:00,3713.00,3713.00,3711.00,3712.00,316,0\r\n2006-02-09,10:00:00,3712.00,3713.00,3712.00,3713.00,341,0\r\n2006-02-09,10:01:00,3713.00,3715.00,3712.00,3714.00,1518,0\r\n2006-02-09,10:02:00,3714.00,3714.00,3713.00,3714.00,874,0\r\n2006-02-09,10:03:00,3714.00,3714.00,3713.00,3713.00,354,0\r\n2006-02-09,10:04:00,3713.00,3713.00,3712.00,3712.00,245,0\r\n2006-02-09,10:05:00,3712.00,3713.00,3712.00,3713.00,238,0\r\n2006-02-09,10:06:00,3713.00,3713.00,3711.00,3711.00,362,0\r\n2006-02-09,10:07:00,3711.00,3711.00,3710.00,3711.00,485,0\r\n2006-02-09,10:08:00,3711.00,3712.00,3710.00,3712.00,240,0\r\n2006-02-09,10:09:00,3712.00,3712.00,3712.00,3712.00,213,0\r\n2006-02-09,10:10:00,3712.00,3713.00,3711.00,3711.00,259,0\r\n2006-02-09,10:11:00,3712.00,3712.00,3711.00,3712.00,121,0\r\n2006-02-09,10:12:00,3712.00,3712.00,3711.00,3711.00,265,0\r\n2006-02-09,10:13:00,3712.00,3714.00,3712.00,3712.00,916,0\r\n2006-02-09,10:14:00,3713.00,3716.00,3713.00,3715.00,2128,0\r\n2006-02-09,10:15:00,3715.00,3715.00,3715.00,3715.00,678,0\r\n2006-02-09,10:16:00,3716.00,3716.00,3715.00,3715.00,522,0\r\n2006-02-09,10:17:00,3715.00,3715.00,3711.00,3712.00,2047,0\r\n2006-02-09,10:18:00,3712.00,3713.00,3712.00,3712.00,283,0\r\n2006-02-09,10:19:00,3712.00,3713.00,3712.00,3713.00,246,0\r\n2006-02-09,10:20:00,3713.00,3713.00,3712.00,3712.00,398,0\r\n2006-02-09,10:21:00,3712.00,3713.00,3712.00,3712.00,610,0\r\n2006-02-09,10:22:00,3712.00,3712.00,3711.00,3712.00,84,0\r\n2006-02-09,10:23:00,3712.00,3712.00,3711.00,3712.00,170,0\r\n2006-02-09,10:24:00,3712.00,3713.00,3710.00,3710.00,1039,0\r\n2006-02-09,10:25:00,3711.00,3711.00,3710.00,3710.00,51,0\r\n2006-02-09,10:26:00,3711.00,3711.00,3710.00,3711.00,293,0\r\n2006-02-09,10:27:00,3711.00,3712.00,3710.00,3711.00,1443,0\r\n2006-02-09,10:28:00,3711.00,3712.00,3711.00,3711.00,259,0\r\n2006-02-09,10:29:00,3711.00,3713.00,3711.00,3712.00,736,0\r\n2006-02-09,10:30:00,3713.00,3713.00,3711.00,3711.00,489,0\r\n2006-02-09,10:31:00,3711.00,3712.00,3710.00,3710.00,2807,0\r\n2006-02-09,10:32:00,3710.00,3710.00,3710.00,3710.00,841,0\r\n2006-02-09,10:33:00,3710.00,3711.00,3709.00,3711.00,568,0\r\n2006-02-09,10:34:00,3710.00,3712.00,3710.00,3711.00,319,0\r\n2006-02-09,10:35:00,3712.00,3713.00,3711.00,3713.00,346,0\r\n2006-02-09,10:36:00,3713.00,3713.00,3712.00,3712.00,298,0\r\n2006-02-09,10:37:00,3712.00,3713.00,3711.00,3712.00,266,0\r\n2006-02-09,10:38:00,3712.00,3713.00,3712.00,3712.00,653,0\r\n2006-02-09,10:39:00,3712.00,3712.00,3711.00,3712.00,47,0\r\n2006-02-09,10:40:00,3712.00,3713.00,3711.00,3713.00,361,0\r\n2006-02-09,10:41:00,3712.00,3712.00,3709.00,3709.00,2233,0\r\n2006-02-09,10:42:00,3710.00,3711.00,3709.00,3710.00,566,0\r\n2006-02-09,10:43:00,3709.00,3710.00,3708.00,3709.00,727,0\r\n2006-02-09,10:44:00,3710.00,3710.00,3709.00,3710.00,1559,0\r\n2006-02-09,10:45:00,3710.00,3710.00,3710.00,3710.00,397,0\r\n2006-02-09,10:46:00,3710.00,3711.00,3710.00,3711.00,606,0\r\n2006-02-09,10:47:00,3711.00,3711.00,3710.00,3710.00,80,0\r\n2006-02-09,10:48:00,3711.00,3711.00,3710.00,3711.00,144,0\r\n2006-02-09,10:49:00,3711.00,3711.00,3709.00,3710.00,333,0\r\n2006-02-09,10:50:00,3710.00,3712.00,3710.00,3712.00,467,0\r\n2006-02-09,10:51:00,3712.00,3712.00,3709.00,3710.00,838,0\r\n2006-02-09,10:52:00,3710.00,3710.00,3709.00,3709.00,756,0\r\n2006-02-09,10:53:00,3709.00,3710.00,3709.00,3710.00,34,0\r\n2006-02-09,10:54:00,3710.00,3712.00,3710.00,3712.00,241,0\r\n2006-02-09,10:55:00,3711.00,3712.00,3711.00,3712.00,3191,0\r\n2006-02-09,10:56:00,3712.00,3712.00,3711.00,3712.00,588,0\r\n2006-02-09,10:57:00,3711.00,3713.00,3711.00,3713.00,557,0\r\n2006-02-09,10:58:00,3713.00,3713.00,3713.00,3713.00,227,0\r\n2006-02-09,10:59:00,3712.00,3713.00,3711.00,3712.00,626,0\r\n2006-02-09,11:00:00,3712.00,3712.00,3709.00,3709.00,940,0\r\n2006-02-09,11:01:00,3710.00,3710.00,3709.00,3709.00,664,0\r\n2006-02-09,11:02:00,3709.00,3711.00,3709.00,3710.00,2275,0\r\n2006-02-09,11:03:00,3711.00,3711.00,3711.00,3711.00,30,0\r\n2006-02-09,11:04:00,3711.00,3711.00,3710.00,3711.00,200,0\r\n2006-02-09,11:05:00,3710.00,3711.00,3710.00,3711.00,29,0\r\n2006-02-09,11:06:00,3710.00,3712.00,3710.00,3712.00,226,0\r\n2006-02-09,11:07:00,3711.00,3711.00,3711.00,3711.00,198,0\r\n2006-02-09,11:08:00,3711.00,3712.00,3711.00,3711.00,866,0\r\n2006-02-09,11:09:00,3711.00,3711.00,3711.00,3711.00,280,0\r\n2006-02-09,11:10:00,3711.00,3712.00,3711.00,3712.00,130,0\r\n2006-02-09,11:11:00,3712.00,3712.00,3712.00,3712.00,388,0\r\n2006-02-09,11:12:00,3712.00,3712.00,3711.00,3712.00,11,0\r\n2006-02-09,11:13:00,3711.00,3711.00,3711.00,3711.00,456,0\r\n2006-02-09,11:14:00,3711.00,3712.00,3710.00,3712.00,898,0\r\n2006-02-09,11:15:00,3712.00,3713.00,3712.00,3713.00,163,0\r\n2006-02-09,11:16:00,3712.00,3713.00,3712.00,3713.00,295,0\r\n2006-02-09,11:17:00,3713.00,3713.00,3712.00,3713.00,245,0\r\n2006-02-09,11:18:00,3713.00,3714.00,3713.00,3714.00,416,0\r\n2006-02-09,11:19:00,3713.00,3713.00,3712.00,3712.00,143,0\r\n2006-02-09,11:20:00,3712.00,3713.00,3712.00,3712.00,674,0\r\n2006-02-09,11:21:00,3713.00,3713.00,3712.00,3713.00,370,0\r\n2006-02-09,11:22:00,3713.00,3714.00,3713.00,3714.00,172,0\r\n2006-02-09,11:23:00,3714.00,3714.00,3713.00,3713.00,92,0\r\n2006-02-09,11:24:00,3713.00,3714.00,3713.00,3713.00,185,0\r\n2006-02-09,11:25:00,3713.00,3713.00,3712.00,3713.00,104,0\r\n2006-02-09,11:26:00,3713.00,3713.00,3712.00,3713.00,165,0\r\n2006-02-09,11:27:00,3713.00,3713.00,3712.00,3713.00,176,0\r\n2006-02-09,11:28:00,3712.00,3714.00,3712.00,3714.00,305,0\r\n2006-02-09,11:29:00,3714.00,3714.00,3713.00,3714.00,2672,0\r\n2006-02-09,11:30:00,3714.00,3714.00,3711.00,3711.00,505,0\r\n2006-02-09,11:31:00,3712.00,3714.00,3712.00,3714.00,1658,0\r\n2006-02-09,11:32:00,3714.00,3715.00,3714.00,3714.00,902,0\r\n2006-02-09,11:33:00,3715.00,3715.00,3714.00,3715.00,40,0\r\n2006-02-09,11:34:00,3715.00,3715.00,3714.00,3714.00,93,0\r\n2006-02-09,11:35:00,3714.00,3715.00,3714.00,3714.00,256,0\r\n2006-02-09,11:36:00,3715.00,3715.00,3714.00,3715.00,940,0\r\n2006-02-09,11:37:00,3715.00,3716.00,3715.00,3715.00,2269,0\r\n2006-02-09,11:38:00,3716.00,3717.00,3715.00,3717.00,2242,0\r\n2006-02-09,11:39:00,3717.00,3717.00,3716.00,3716.00,666,0\r\n2006-02-09,11:40:00,3716.00,3716.00,3716.00,3716.00,2191,0\r\n2006-02-09,11:41:00,3717.00,3718.00,3716.00,3717.00,2008,0\r\n2006-02-09,11:42:00,3718.00,3718.00,3717.00,3718.00,438,0\r\n2006-02-09,11:43:00,3717.00,3719.00,3717.00,3719.00,1524,0\r\n2006-02-09,11:44:00,3720.00,3721.00,3719.00,3720.00,3479,0\r\n2006-02-09,11:45:00,3720.00,3724.00,3720.00,3722.00,4748,0\r\n2006-02-09,11:46:00,3723.00,3723.00,3721.00,3722.00,2690,0\r\n2006-02-09,11:47:00,3721.00,3722.00,3721.00,3721.00,347,0\r\n2006-02-09,11:48:00,3722.00,3722.00,3721.00,3721.00,1385,0\r\n2006-02-09,11:49:00,3721.00,3722.00,3721.00,3722.00,656,0\r\n2006-02-09,11:50:00,3722.00,3724.00,3722.00,3724.00,2499,0\r\n2006-02-09,11:51:00,3724.00,3724.00,3722.00,3723.00,1513,0\r\n2006-02-09,11:52:00,3723.00,3724.00,3722.00,3724.00,558,0\r\n2006-02-09,11:53:00,3724.00,3724.00,3723.00,3724.00,495,0\r\n2006-02-09,11:54:00,3724.00,3725.00,3723.00,3725.00,2564,0\r\n2006-02-09,11:55:00,3725.00,3725.00,3724.00,3724.00,933,0\r\n2006-02-09,11:56:00,3723.00,3723.00,3722.00,3723.00,525,0\r\n2006-02-09,11:57:00,3722.00,3723.00,3722.00,3723.00,561,0\r\n2006-02-09,11:58:00,3722.00,3723.00,3722.00,3722.00,692,0\r\n2006-02-09,11:59:00,3722.00,3722.00,3721.00,3721.00,749,0\r\n2006-02-09,12:00:00,3721.00,3721.00,3721.00,3721.00,346,0\r\n2006-02-09,12:01:00,3720.00,3722.00,3720.00,3720.00,894,0\r\n2006-02-09,12:02:00,3721.00,3722.00,3720.00,3722.00,142,0\r\n2006-02-09,12:03:00,3721.00,3722.00,3721.00,3721.00,350,0\r\n2006-02-09,12:04:00,3721.00,3722.00,3721.00,3721.00,494,0\r\n2006-02-09,12:05:00,3721.00,3722.00,3721.00,3722.00,343,0\r\n2006-02-09,12:06:00,3722.00,3722.00,3722.00,3722.00,60,0\r\n2006-02-09,12:07:00,3722.00,3722.00,3721.00,3722.00,418,0\r\n2006-02-09,12:08:00,3722.00,3722.00,3721.00,3722.00,365,0\r\n2006-02-09,12:09:00,3722.00,3723.00,3722.00,3723.00,262,0\r\n2006-02-09,12:10:00,3723.00,3724.00,3723.00,3723.00,556,0\r\n2006-02-09,12:11:00,3723.00,3723.00,3722.00,3722.00,350,0\r\n2006-02-09,12:12:00,3722.00,3724.00,3722.00,3724.00,1095,0\r\n2006-02-09,12:13:00,3724.00,3725.00,3724.00,3724.00,807,0\r\n2006-02-09,12:14:00,3724.00,3724.00,3723.00,3723.00,139,0\r\n2006-02-09,12:15:00,3723.00,3724.00,3723.00,3723.00,309,0\r\n2006-02-09,12:16:00,3723.00,3723.00,3722.00,3723.00,89,0\r\n2006-02-09,12:17:00,3722.00,3722.00,3722.00,3722.00,552,0\r\n2006-02-09,12:18:00,3722.00,3722.00,3721.00,3721.00,108,0\r\n2006-02-09,12:19:00,3722.00,3723.00,3722.00,3723.00,30,0\r\n2006-02-09,12:20:00,3722.00,3723.00,3721.00,3722.00,236,0\r\n2006-02-09,12:21:00,3722.00,3722.00,3722.00,3722.00,685,0\r\n2006-02-09,12:22:00,3721.00,3723.00,3721.00,3723.00,191,0\r\n2006-02-09,12:23:00,3722.00,3723.00,3722.00,3722.00,612,0\r\n2006-02-09,12:24:00,3723.00,3723.00,3722.00,3723.00,143,0\r\n2006-02-09,12:25:00,3723.00,3723.00,3722.00,3723.00,85,0\r\n2006-02-09,12:26:00,3723.00,3724.00,3723.00,3724.00,132,0\r\n2006-02-09,12:27:00,3724.00,3725.00,3724.00,3724.00,1510,0\r\n2006-02-09,12:28:00,3724.00,3725.00,3724.00,3725.00,140,0\r\n2006-02-09,12:29:00,3725.00,3725.00,3724.00,3725.00,1378,0\r\n2006-02-09,12:30:00,3724.00,3725.00,3724.00,3725.00,72,0\r\n2006-02-09,12:31:00,3725.00,3725.00,3724.00,3725.00,18,0\r\n2006-02-09,12:32:00,3725.00,3725.00,3723.00,3723.00,480,0\r\n2006-02-09,12:33:00,3724.00,3724.00,3723.00,3724.00,503,0\r\n2006-02-09,12:34:00,3724.00,3724.00,3723.00,3724.00,493,0\r\n2006-02-09,12:35:00,3724.00,3724.00,3723.00,3724.00,645,0\r\n2006-02-09,12:36:00,3725.00,3725.00,3724.00,3725.00,363,0\r\n2006-02-09,12:37:00,3725.00,3725.00,3724.00,3724.00,369,0\r\n2006-02-09,12:38:00,3724.00,3724.00,3723.00,3724.00,619,0\r\n2006-02-09,12:39:00,3724.00,3724.00,3723.00,3724.00,241,0\r\n2006-02-09,12:40:00,3724.00,3724.00,3723.00,3723.00,217,0\r\n2006-02-09,12:41:00,3724.00,3724.00,3723.00,3724.00,53,0\r\n2006-02-09,12:42:00,3724.00,3724.00,3723.00,3724.00,119,0\r\n2006-02-09,12:43:00,3723.00,3723.00,3722.00,3722.00,440,0\r\n2006-02-09,12:44:00,3722.00,3722.00,3721.00,3721.00,416,0\r\n2006-02-09,12:45:00,3721.00,3721.00,3720.00,3721.00,611,0\r\n2006-02-09,12:46:00,3721.00,3721.00,3719.00,3720.00,1187,0\r\n2006-02-09,12:47:00,3720.00,3720.00,3719.00,3720.00,646,0\r\n2006-02-09,12:48:00,3720.00,3720.00,3719.00,3720.00,184,0\r\n2006-02-09,12:49:00,3720.00,3720.00,3719.00,3720.00,177,0\r\n2006-02-09,12:50:00,3720.00,3721.00,3720.00,3720.00,2009,0\r\n2006-02-09,12:51:00,3720.00,3720.00,3720.00,3720.00,279,0\r\n2006-02-09,12:52:00,3720.00,3721.00,3720.00,3721.00,180,0\r\n2006-02-09,12:53:00,3720.00,3721.00,3720.00,3720.00,245,0\r\n2006-02-09,12:54:00,3720.00,3721.00,3719.00,3719.00,662,0\r\n2006-02-09,12:55:00,3720.00,3721.00,3719.00,3720.00,472,0\r\n2006-02-09,12:56:00,3721.00,3722.00,3721.00,3722.00,1048,0\r\n2006-02-09,12:57:00,3721.00,3722.00,3721.00,3722.00,108,0\r\n2006-02-09,12:58:00,3721.00,3722.00,3721.00,3722.00,176,0\r\n2006-02-09,12:59:00,3721.00,3722.00,3721.00,3722.00,35,0\r\n2006-02-09,13:00:00,3722.00,3723.00,3722.00,3723.00,841,0\r\n2006-02-09,13:01:00,3723.00,3723.00,3722.00,3722.00,361,0\r\n2006-02-09,13:02:00,3722.00,3722.00,3721.00,3722.00,137,0\r\n2006-02-09,13:03:00,3722.00,3723.00,3721.00,3722.00,470,0\r\n2006-02-09,13:04:00,3722.00,3722.00,3721.00,3722.00,376,0\r\n2006-02-09,13:05:00,3722.00,3722.00,3721.00,3722.00,189,0\r\n2006-02-09,13:06:00,3721.00,3722.00,3721.00,3721.00,274,0\r\n2006-02-09,13:07:00,3722.00,3722.00,3721.00,3721.00,127,0\r\n2006-02-09,13:08:00,3720.00,3721.00,3720.00,3721.00,678,0\r\n2006-02-09,13:09:00,3721.00,3721.00,3719.00,3720.00,225,0\r\n2006-02-09,13:10:00,3720.00,3721.00,3720.00,3721.00,7,0\r\n2006-02-09,13:11:00,3721.00,3721.00,3719.00,3719.00,155,0\r\n2006-02-09,13:12:00,3720.00,3721.00,3720.00,3720.00,286,0\r\n2006-02-09,13:13:00,3721.00,3721.00,3720.00,3720.00,41,0\r\n2006-02-09,13:14:00,3721.00,3721.00,3720.00,3721.00,138,0\r\n2006-02-09,13:15:00,3721.00,3721.00,3721.00,3721.00,8,0\r\n2006-02-09,13:16:00,3720.00,3720.00,3720.00,3720.00,267,0\r\n2006-02-09,13:17:00,3721.00,3721.00,3721.00,3721.00,4,0\r\n2006-02-09,13:18:00,3721.00,3721.00,3720.00,3720.00,15,0\r\n2006-02-09,13:19:00,3721.00,3721.00,3720.00,3720.00,9,0\r\n2006-02-09,13:20:00,3721.00,3721.00,3721.00,3721.00,16,0\r\n2006-02-09,13:21:00,3720.00,3721.00,3720.00,3721.00,440,0\r\n2006-02-09,13:22:00,3721.00,3721.00,3719.00,3720.00,154,0\r\n2006-02-09,13:23:00,3719.00,3720.00,3719.00,3720.00,142,0\r\n2006-02-09,13:24:00,3719.00,3720.00,3716.00,3717.00,3434,0\r\n2006-02-09,13:25:00,3717.00,3718.00,3716.00,3718.00,1402,0\r\n2006-02-09,13:26:00,3718.00,3719.00,3718.00,3718.00,1118,0\r\n2006-02-09,13:27:00,3719.00,3719.00,3716.00,3718.00,1301,0\r\n2006-02-09,13:28:00,3717.00,3717.00,3714.00,3715.00,2550,0\r\n2006-02-09,13:29:00,3715.00,3719.00,3714.00,3718.00,1451,0\r\n2006-02-09,13:30:00,3718.00,3718.00,3717.00,3718.00,303,0\r\n2006-02-09,13:31:00,3718.00,3718.00,3717.00,3717.00,1069,0\r\n2006-02-09,13:32:00,3718.00,3718.00,3717.00,3717.00,84,0\r\n2006-02-09,13:33:00,3717.00,3718.00,3717.00,3718.00,182,0\r\n2006-02-09,13:34:00,3717.00,3718.00,3716.00,3717.00,641,0\r\n2006-02-09,13:35:00,3717.00,3717.00,3717.00,3717.00,589,0\r\n2006-02-09,13:36:00,3716.00,3716.00,3716.00,3716.00,50,0\r\n2006-02-09,13:37:00,3717.00,3717.00,3715.00,3716.00,536,0\r\n2006-02-09,13:38:00,3716.00,3716.00,3716.00,3716.00,101,0\r\n2006-02-09,13:39:00,3717.00,3718.00,3717.00,3718.00,774,0\r\n2006-02-09,13:40:00,3717.00,3719.00,3717.00,3719.00,432,0\r\n2006-02-09,13:41:00,3718.00,3720.00,3718.00,3719.00,650,0\r\n2006-02-09,13:42:00,3719.00,3721.00,3719.00,3721.00,648,0\r\n2006-02-09,13:43:00,3721.00,3721.00,3720.00,3721.00,224,0\r\n2006-02-09,13:44:00,3721.00,3721.00,3720.00,3720.00,255,0\r\n2006-02-09,13:45:00,3721.00,3721.00,3721.00,3721.00,357,0\r\n2006-02-09,13:46:00,3720.00,3721.00,3720.00,3720.00,1216,0\r\n2006-02-09,13:47:00,3720.00,3720.00,3720.00,3720.00,9,0\r\n2006-02-09,13:48:00,3720.00,3720.00,3720.00,3720.00,414,0\r\n2006-02-09,13:49:00,3720.00,3720.00,3720.00,3720.00,566,0\r\n2006-02-09,13:50:00,3719.00,3720.00,3719.00,3719.00,277,0\r\n2006-02-09,13:51:00,3720.00,3720.00,3720.00,3720.00,194,0\r\n2006-02-09,13:52:00,3720.00,3720.00,3720.00,3720.00,1395,0\r\n2006-02-09,13:53:00,3720.00,3720.00,3719.00,3719.00,169,0\r\n2006-02-09,13:54:00,3720.00,3720.00,3720.00,3720.00,18,0\r\n2006-02-09,13:55:00,3720.00,3720.00,3720.00,3720.00,4,0\r\n2006-02-09,13:56:00,3719.00,3720.00,3719.00,3719.00,32,0\r\n2006-02-09,13:57:00,3719.00,3720.00,3719.00,3720.00,9,0\r\n2006-02-09,13:58:00,3720.00,3721.00,3719.00,3721.00,341,0\r\n2006-02-09,13:59:00,3720.00,3720.00,3720.00,3720.00,156,0\r\n2006-02-09,14:00:00,3721.00,3721.00,3720.00,3720.00,554,0\r\n2006-02-09,14:01:00,3720.00,3721.00,3719.00,3719.00,226,0\r\n2006-02-09,14:02:00,3720.00,3720.00,3719.00,3719.00,13,0\r\n2006-02-09,14:03:00,3720.00,3720.00,3719.00,3719.00,8,0\r\n2006-02-09,14:04:00,3720.00,3720.00,3719.00,3719.00,82,0\r\n2006-02-09,14:05:00,3719.00,3720.00,3719.00,3720.00,196,0\r\n2006-02-09,14:06:00,3720.00,3720.00,3720.00,3720.00,1008,0\r\n2006-02-09,14:07:00,3720.00,3721.00,3719.00,3721.00,326,0\r\n2006-02-09,14:08:00,3721.00,3721.00,3720.00,3721.00,18,0\r\n2006-02-09,14:09:00,3721.00,3721.00,3721.00,3721.00,158,0\r\n2006-02-09,14:10:00,3720.00,3722.00,3720.00,3722.00,421,0\r\n2006-02-09,14:11:00,3722.00,3722.00,3722.00,3722.00,79,0\r\n2006-02-09,14:12:00,3722.00,3723.00,3722.00,3723.00,328,0\r\n2006-02-09,14:13:00,3722.00,3723.00,3722.00,3723.00,114,0\r\n2006-02-09,14:14:00,3723.00,3723.00,3723.00,3723.00,97,0\r\n2006-02-09,14:15:00,3723.00,3723.00,3722.00,3722.00,11,0\r\n2006-02-09,14:16:00,3722.00,3723.00,3722.00,3723.00,90,0\r\n2006-02-09,14:17:00,3723.00,3723.00,3722.00,3722.00,8,0\r\n2006-02-09,14:18:00,3723.00,3723.00,3722.00,3722.00,587,0\r\n2006-02-09,14:19:00,3721.00,3722.00,3721.00,3721.00,738,0\r\n2006-02-09,14:20:00,3721.00,3721.00,3721.00,3721.00,5,0\r\n2006-02-09,14:21:00,3721.00,3721.00,3720.00,3721.00,107,0\r\n2006-02-09,14:22:00,3721.00,3721.00,3720.00,3721.00,27,0\r\n2006-02-09,14:23:00,3721.00,3722.00,3721.00,3722.00,537,0\r\n2006-02-09,14:24:00,3721.00,3721.00,3720.00,3721.00,1039,0\r\n2006-02-09,14:25:00,3720.00,3721.00,3720.00,3721.00,136,0\r\n2006-02-09,14:26:00,3722.00,3722.00,3721.00,3722.00,517,0\r\n2006-02-09,14:27:00,3722.00,3722.00,3722.00,3722.00,84,0\r\n2006-02-09,14:28:00,3721.00,3721.00,3720.00,3721.00,495,0\r\n2006-02-09,14:29:00,3721.00,3721.00,3721.00,3721.00,148,0\r\n2006-02-09,14:30:00,3720.00,3721.00,3720.00,3721.00,374,0\r\n2006-02-09,14:31:00,3721.00,3723.00,3721.00,3722.00,907,0\r\n2006-02-09,14:32:00,3722.00,3723.00,3722.00,3722.00,210,0\r\n2006-02-09,14:33:00,3723.00,3724.00,3723.00,3723.00,637,0\r\n2006-02-09,14:34:00,3724.00,3724.00,3722.00,3723.00,241,0\r\n2006-02-09,14:35:00,3723.00,3724.00,3723.00,3724.00,112,0\r\n2006-02-09,14:36:00,3723.00,3724.00,3723.00,3724.00,12,0\r\n2006-02-09,14:37:00,3724.00,3724.00,3723.00,3723.00,441,0\r\n2006-02-09,14:38:00,3723.00,3724.00,3723.00,3724.00,291,0\r\n2006-02-09,14:39:00,3723.00,3728.00,3723.00,3728.00,5115,0\r\n2006-02-09,14:40:00,3727.00,3728.00,3726.00,3726.00,2341,0\r\n2006-02-09,14:41:00,3726.00,3728.00,3726.00,3728.00,1851,0\r\n2006-02-09,14:42:00,3728.00,3728.00,3727.00,3727.00,738,0\r\n2006-02-09,14:43:00,3728.00,3728.00,3726.00,3727.00,3574,0\r\n2006-02-09,14:44:00,3728.00,3728.00,3726.00,3727.00,896,0\r\n2006-02-09,14:45:00,3726.00,3727.00,3726.00,3727.00,1428,0\r\n2006-02-09,14:46:00,3727.00,3727.00,3726.00,3727.00,427,0\r\n2006-02-09,14:47:00,3726.00,3727.00,3726.00,3726.00,88,0\r\n2006-02-09,14:48:00,3726.00,3727.00,3726.00,3726.00,1267,0\r\n2006-02-09,14:49:00,3727.00,3727.00,3726.00,3726.00,1752,0\r\n2006-02-09,14:50:00,3726.00,3727.00,3726.00,3726.00,201,0\r\n2006-02-09,14:51:00,3726.00,3727.00,3726.00,3727.00,304,0\r\n2006-02-09,14:52:00,3726.00,3726.00,3725.00,3726.00,1219,0\r\n2006-02-09,14:53:00,3726.00,3727.00,3725.00,3727.00,514,0\r\n2006-02-09,14:54:00,3726.00,3726.00,3725.00,3725.00,161,0\r\n2006-02-09,14:55:00,3725.00,3726.00,3725.00,3726.00,963,0\r\n2006-02-09,14:56:00,3726.00,3726.00,3726.00,3726.00,238,0\r\n2006-02-09,14:57:00,3726.00,3727.00,3726.00,3727.00,166,0\r\n2006-02-09,14:58:00,3726.00,3727.00,3726.00,3726.00,926,0\r\n2006-02-09,14:59:00,3727.00,3728.00,3724.00,3724.00,4031,0\r\n2006-02-09,15:00:00,3724.00,3725.00,3724.00,3725.00,309,0\r\n2006-02-09,15:01:00,3725.00,3725.00,3724.00,3725.00,52,0\r\n2006-02-09,15:02:00,3724.00,3725.00,3724.00,3725.00,314,0\r\n2006-02-09,15:03:00,3725.00,3726.00,3724.00,3724.00,383,0\r\n2006-02-09,15:04:00,3725.00,3726.00,3724.00,3725.00,361,0\r\n2006-02-09,15:05:00,3726.00,3726.00,3724.00,3725.00,172,0\r\n2006-02-09,15:06:00,3725.00,3726.00,3725.00,3725.00,369,0\r\n2006-02-09,15:07:00,3726.00,3726.00,3725.00,3725.00,330,0\r\n2006-02-09,15:08:00,3725.00,3725.00,3724.00,3725.00,149,0\r\n2006-02-09,15:09:00,3724.00,3725.00,3724.00,3725.00,135,0\r\n2006-02-09,15:10:00,3725.00,3725.00,3724.00,3724.00,7,0\r\n2006-02-09,15:11:00,3725.00,3725.00,3724.00,3725.00,706,0\r\n2006-02-09,15:12:00,3724.00,3724.00,3723.00,3723.00,603,0\r\n2006-02-09,15:13:00,3723.00,3724.00,3723.00,3723.00,144,0\r\n2006-02-09,15:14:00,3723.00,3724.00,3723.00,3724.00,13,0\r\n2006-02-09,15:15:00,3723.00,3723.00,3722.00,3722.00,672,0\r\n2006-02-09,15:17:00,3723.00,3723.00,3722.00,3722.00,239,0\r\n2006-02-09,15:18:00,3722.00,3724.00,3722.00,3724.00,420,0\r\n2006-02-09,15:19:00,3724.00,3725.00,3723.00,3723.00,461,0\r\n2006-02-09,15:20:00,3722.00,3723.00,3722.00,3723.00,178,0\r\n2006-02-09,15:21:00,3722.00,3723.00,3722.00,3723.00,351,0\r\n2006-02-09,15:22:00,3723.00,3723.00,3722.00,3722.00,550,0\r\n2006-02-09,15:23:00,3723.00,3723.00,3722.00,3723.00,10,0\r\n2006-02-09,15:24:00,3723.00,3723.00,3722.00,3723.00,231,0\r\n2006-02-09,15:25:00,3723.00,3724.00,3723.00,3723.00,340,0\r\n2006-02-09,15:26:00,3723.00,3724.00,3723.00,3724.00,333,0\r\n2006-02-09,15:27:00,3723.00,3724.00,3723.00,3724.00,394,0\r\n2006-02-09,15:28:00,3724.00,3724.00,3723.00,3724.00,889,0\r\n2006-02-09,15:29:00,3723.00,3724.00,3723.00,3724.00,277,0\r\n2006-02-09,15:30:00,3724.00,3725.00,3723.00,3725.00,493,0\r\n2006-02-09,15:31:00,3724.00,3725.00,3723.00,3724.00,1049,0\r\n2006-02-09,15:32:00,3723.00,3723.00,3722.00,3723.00,339,0\r\n2006-02-09,15:33:00,3723.00,3723.00,3722.00,3722.00,281,0\r\n2006-02-09,15:34:00,3722.00,3723.00,3721.00,3722.00,803,0\r\n2006-02-09,15:35:00,3722.00,3722.00,3721.00,3722.00,873,0\r\n2006-02-09,15:36:00,3722.00,3723.00,3722.00,3722.00,180,0\r\n2006-02-09,15:37:00,3723.00,3723.00,3722.00,3722.00,730,0\r\n2006-02-09,15:38:00,3722.00,3723.00,3721.00,3723.00,499,0\r\n2006-02-09,15:39:00,3723.00,3723.00,3721.00,3723.00,1337,0\r\n2006-02-09,15:40:00,3722.00,3724.00,3722.00,3723.00,321,0\r\n2006-02-09,15:41:00,3724.00,3726.00,3723.00,3725.00,2557,0\r\n2006-02-09,15:42:00,3725.00,3725.00,3724.00,3724.00,938,0\r\n2006-02-09,15:43:00,3724.00,3725.00,3723.00,3724.00,729,0\r\n2006-02-09,15:44:00,3724.00,3727.00,3724.00,3726.00,1962,0\r\n2006-02-09,15:45:00,3726.00,3726.00,3725.00,3725.00,719,0\r\n2006-02-09,15:46:00,3726.00,3727.00,3726.00,3726.00,1705,0\r\n2006-02-09,15:47:00,3727.00,3727.00,3726.00,3727.00,307,0\r\n2006-02-09,15:48:00,3726.00,3727.00,3726.00,3726.00,526,0\r\n2006-02-09,15:49:00,3726.00,3727.00,3725.00,3727.00,1172,0\r\n2006-02-09,15:50:00,3727.00,3728.00,3726.00,3727.00,962,0\r\n2006-02-09,15:51:00,3726.00,3728.00,3726.00,3728.00,727,0\r\n2006-02-09,15:52:00,3727.00,3728.00,3726.00,3727.00,1882,0\r\n2006-02-09,15:53:00,3727.00,3728.00,3726.00,3726.00,918,0\r\n2006-02-09,15:54:00,3726.00,3729.00,3726.00,3728.00,2790,0\r\n2006-02-09,15:55:00,3727.00,3728.00,3727.00,3728.00,627,0\r\n2006-02-09,15:56:00,3728.00,3730.00,3728.00,3730.00,1743,0\r\n2006-02-09,15:57:00,3730.00,3732.00,3730.00,3730.00,6651,0\r\n2006-02-09,15:58:00,3730.00,3730.00,3729.00,3729.00,1411,0\r\n2006-02-09,15:59:00,3729.00,3731.00,3728.00,3730.00,2850,0\r\n2006-02-09,16:00:00,3730.00,3732.00,3729.00,3730.00,2144,0\r\n2006-02-09,16:01:00,3730.00,3731.00,3728.00,3729.00,3421,0\r\n2006-02-09,16:02:00,3729.00,3730.00,3728.00,3729.00,1678,0\r\n2006-02-09,16:03:00,3729.00,3730.00,3729.00,3730.00,1164,0\r\n2006-02-09,16:04:00,3729.00,3731.00,3729.00,3730.00,1005,0\r\n2006-02-09,16:05:00,3729.00,3729.00,3728.00,3729.00,1877,0\r\n2006-02-09,16:06:00,3729.00,3731.00,3729.00,3730.00,3180,0\r\n2006-02-09,16:07:00,3730.00,3731.00,3729.00,3729.00,1900,0\r\n2006-02-09,16:08:00,3729.00,3729.00,3728.00,3728.00,1343,0\r\n2006-02-09,16:09:00,3728.00,3728.00,3726.00,3726.00,1890,0\r\n2006-02-09,16:10:00,3726.00,3727.00,3726.00,3726.00,818,0\r\n2006-02-09,16:11:00,3727.00,3727.00,3725.00,3726.00,1640,0\r\n2006-02-09,16:12:00,3726.00,3727.00,3725.00,3726.00,1090,0\r\n2006-02-09,16:13:00,3726.00,3727.00,3726.00,3726.00,826,0\r\n2006-02-09,16:14:00,3726.00,3727.00,3726.00,3726.00,714,0\r\n2006-02-09,16:15:00,3726.00,3727.00,3725.00,3725.00,647,0\r\n2006-02-09,16:16:00,3725.00,3726.00,3725.00,3725.00,299,0\r\n2006-02-09,16:17:00,3725.00,3727.00,3725.00,3727.00,1013,0\r\n2006-02-09,16:18:00,3727.00,3728.00,3725.00,3726.00,1289,0\r\n2006-02-09,16:19:00,3725.00,3726.00,3725.00,3726.00,1269,0\r\n2006-02-09,16:20:00,3725.00,3726.00,3725.00,3726.00,1741,0\r\n2006-02-09,16:21:00,3725.00,3728.00,3725.00,3728.00,430,0\r\n2006-02-09,16:22:00,3728.00,3728.00,3726.00,3727.00,600,0\r\n2006-02-09,16:23:00,3727.00,3728.00,3727.00,3727.00,744,0\r\n2006-02-09,16:24:00,3727.00,3728.00,3726.00,3727.00,709,0\r\n2006-02-09,16:25:00,3728.00,3728.00,3727.00,3727.00,56,0\r\n2006-02-09,16:26:00,3728.00,3729.00,3728.00,3728.00,1192,0\r\n2006-02-09,16:27:00,3728.00,3728.00,3727.00,3727.00,807,0\r\n2006-02-09,16:28:00,3727.00,3729.00,3727.00,3727.00,1614,0\r\n2006-02-09,16:29:00,3727.00,3729.00,3727.00,3729.00,789,0\r\n2006-02-09,16:30:00,3729.00,3731.00,3729.00,3730.00,4619,0\r\n2006-02-09,16:31:00,3730.00,3732.00,3729.00,3730.00,2124,0\r\n2006-02-09,16:32:00,3730.00,3731.00,3728.00,3729.00,1836,0\r\n2006-02-09,16:33:00,3729.00,3731.00,3729.00,3731.00,1414,0\r\n2006-02-09,16:34:00,3731.00,3732.00,3729.00,3730.00,1416,0\r\n2006-02-09,16:35:00,3730.00,3730.00,3728.00,3730.00,1191,0\r\n2006-02-09,16:36:00,3730.00,3733.00,3730.00,3732.00,1717,0\r\n2006-02-09,16:37:00,3733.00,3734.00,3732.00,3733.00,3028,0\r\n2006-02-09,16:38:00,3733.00,3733.00,3731.00,3731.00,1381,0\r\n2006-02-09,16:39:00,3731.00,3731.00,3729.00,3731.00,1613,0\r\n2006-02-09,16:40:00,3730.00,3731.00,3730.00,3731.00,604,0\r\n2006-02-09,16:41:00,3731.00,3732.00,3731.00,3731.00,1585,0\r\n2006-02-09,16:42:00,3731.00,3732.00,3730.00,3731.00,445,0\r\n2006-02-09,16:43:00,3731.00,3732.00,3731.00,3732.00,971,0\r\n2006-02-09,16:44:00,3731.00,3731.00,3729.00,3729.00,1924,0\r\n2006-02-09,16:45:00,3729.00,3730.00,3729.00,3730.00,1634,0\r\n2006-02-09,16:46:00,3730.00,3732.00,3730.00,3731.00,1598,0\r\n2006-02-09,16:47:00,3731.00,3731.00,3729.00,3730.00,576,0\r\n2006-02-09,16:48:00,3730.00,3731.00,3730.00,3730.00,315,0\r\n2006-02-09,16:49:00,3730.00,3731.00,3729.00,3730.00,488,0\r\n2006-02-09,16:50:00,3730.00,3730.00,3728.00,3728.00,585,0\r\n2006-02-09,16:51:00,3729.00,3731.00,3729.00,3730.00,1982,0\r\n2006-02-09,16:52:00,3729.00,3730.00,3728.00,3729.00,671,0\r\n2006-02-09,16:53:00,3728.00,3730.00,3728.00,3729.00,452,0\r\n2006-02-09,16:54:00,3729.00,3731.00,3729.00,3731.00,1098,0\r\n2006-02-09,16:55:00,3731.00,3732.00,3730.00,3730.00,1467,0\r\n2006-02-09,16:56:00,3730.00,3730.00,3728.00,3728.00,1335,0\r\n2006-02-09,16:57:00,3728.00,3729.00,3728.00,3729.00,1260,0\r\n2006-02-09,16:58:00,3729.00,3730.00,3729.00,3730.00,391,0\r\n2006-02-09,16:59:00,3730.00,3730.00,3729.00,3730.00,457,0\r\n2006-02-09,17:00:00,3729.00,3730.00,3729.00,3730.00,407,0\r\n2006-02-09,17:01:00,3730.00,3730.00,3729.00,3730.00,1569,0\r\n2006-02-09,17:02:00,3730.00,3730.00,3729.00,3730.00,651,0\r\n2006-02-09,17:03:00,3730.00,3730.00,3729.00,3729.00,917,0\r\n2006-02-09,17:04:00,3730.00,3730.00,3729.00,3730.00,119,0\r\n2006-02-09,17:05:00,3729.00,3730.00,3729.00,3730.00,666,0\r\n2006-02-09,17:06:00,3730.00,3730.00,3728.00,3728.00,765,0\r\n2006-02-09,17:07:00,3729.00,3730.00,3727.00,3727.00,1899,0\r\n2006-02-09,17:08:00,3727.00,3728.00,3726.00,3728.00,1646,0\r\n2006-02-09,17:09:00,3728.00,3728.00,3726.00,3727.00,1492,0\r\n2006-02-09,17:10:00,3726.00,3727.00,3725.00,3725.00,1674,0\r\n2006-02-09,17:11:00,3725.00,3726.00,3724.00,3725.00,2341,0\r\n2006-02-09,17:12:00,3725.00,3726.00,3724.00,3724.00,1573,0\r\n2006-02-09,17:13:00,3724.00,3725.00,3723.00,3725.00,2327,0\r\n2006-02-09,17:14:00,3726.00,3727.00,3725.00,3727.00,1780,0\r\n2006-02-09,17:15:00,3727.00,3727.00,3726.00,3727.00,619,0\r\n2006-02-09,17:16:00,3727.00,3728.00,3727.00,3728.00,634,0\r\n2006-02-09,17:17:00,3727.00,3728.00,3727.00,3728.00,839,0\r\n2006-02-09,17:18:00,3728.00,3729.00,3727.00,3728.00,2310,0\r\n2006-02-09,17:19:00,3729.00,3731.00,3729.00,3730.00,3563,0\r\n2006-02-09,17:20:00,3730.00,3731.00,3729.00,3730.00,1160,0\r\n2006-02-09,17:21:00,3730.00,3731.00,3729.00,3729.00,877,0\r\n2006-02-09,17:22:00,3730.00,3730.00,3729.00,3729.00,1440,0\r\n2006-02-09,17:23:00,3730.00,3730.00,3729.00,3730.00,673,0\r\n2006-02-09,17:24:00,3730.00,3732.00,3730.00,3732.00,2020,0\r\n2006-02-09,17:25:00,3732.00,3733.00,3731.00,3733.00,2781,0\r\n2006-02-09,17:26:00,3733.00,3734.00,3732.00,3733.00,1667,0\r\n2006-02-09,17:27:00,3733.00,3733.00,3731.00,3731.00,1564,0\r\n2006-02-09,17:28:00,3732.00,3732.00,3731.00,3732.00,1409,0\r\n2006-02-09,17:29:00,3732.00,3733.00,3732.00,3733.00,1413,0\r\n2006-02-09,17:30:00,3732.00,3734.00,3732.00,3732.00,3750,0\r\n2006-02-09,17:31:00,3734.00,3735.00,3732.00,3733.00,3963,0\r\n2006-02-09,17:32:00,3733.00,3737.00,3733.00,3736.00,5711,0\r\n2006-02-09,17:33:00,3736.00,3738.00,3736.00,3736.00,4446,0\r\n2006-02-09,17:34:00,3736.00,3738.00,3736.00,3737.00,1818,0\r\n2006-02-09,17:35:00,3736.00,3738.00,3736.00,3738.00,2435,0\r\n2006-02-09,17:36:00,3737.00,3739.00,3736.00,3736.00,2861,0\r\n2006-02-09,17:37:00,3736.00,3738.00,3736.00,3737.00,2186,0\r\n2006-02-09,17:38:00,3737.00,3740.00,3737.00,3740.00,3533,0\r\n2006-02-09,17:39:00,3740.00,3741.00,3738.00,3738.00,2152,0\r\n2006-02-09,17:40:00,3739.00,3739.00,3738.00,3738.00,192,0\r\n2006-02-09,17:41:00,3739.00,3739.00,3738.00,3739.00,789,0\r\n2006-02-09,17:42:00,3739.00,3739.00,3738.00,3739.00,299,0\r\n2006-02-09,17:43:00,3739.00,3739.00,3738.00,3739.00,669,0\r\n2006-02-09,17:44:00,3738.00,3740.00,3738.00,3740.00,517,0\r\n2006-02-09,17:45:00,3740.00,3740.00,3739.00,3740.00,1948,0\r\n2006-02-09,17:46:00,3739.00,3741.00,3739.00,3739.00,1161,0\r\n2006-02-09,17:47:00,3739.00,3740.00,3739.00,3740.00,622,0\r\n2006-02-09,17:48:00,3739.00,3741.00,3739.00,3740.00,648,0\r\n2006-02-09,17:49:00,3740.00,3740.00,3738.00,3738.00,241,0\r\n2006-02-09,17:50:00,3739.00,3741.00,3739.00,3741.00,927,0\r\n2006-02-09,17:51:00,3741.00,3741.00,3740.00,3740.00,579,0\r\n2006-02-09,17:52:00,3740.00,3742.00,3740.00,3740.00,311,0\r\n2006-02-09,17:53:00,3740.00,3741.00,3740.00,3741.00,119,0\r\n2006-02-09,17:54:00,3741.00,3741.00,3740.00,3741.00,495,0\r\n2006-02-09,17:55:00,3741.00,3741.00,3739.00,3740.00,705,0\r\n2006-02-09,17:56:00,3740.00,3740.00,3740.00,3740.00,422,0\r\n2006-02-09,17:57:00,3740.00,3740.00,3740.00,3740.00,314,0\r\n2006-02-09,17:58:00,3740.00,3740.00,3739.00,3739.00,492,0\r\n2006-02-09,17:59:00,3739.00,3739.00,3738.00,3738.00,289,0\r\n2006-02-09,18:00:00,3738.00,3739.00,3737.00,3737.00,780,0\r\n2006-02-09,18:01:00,3737.00,3738.00,3737.00,3737.00,129,0\r\n2006-02-09,18:02:00,3737.00,3737.00,3736.00,3737.00,1004,0\r\n2006-02-09,18:03:00,3737.00,3738.00,3737.00,3738.00,217,0\r\n2006-02-09,18:04:00,3738.00,3738.00,3737.00,3738.00,74,0\r\n2006-02-09,18:05:00,3737.00,3738.00,3737.00,3738.00,61,0\r\n2006-02-09,18:06:00,3738.00,3738.00,3737.00,3737.00,111,0\r\n2006-02-09,18:08:00,3738.00,3738.00,3738.00,3738.00,135,0\r\n2006-02-09,18:09:00,3738.00,3739.00,3738.00,3739.00,147,0\r\n2006-02-09,18:10:00,3738.00,3738.00,3738.00,3738.00,188,0\r\n2006-02-09,18:11:00,3738.00,3738.00,3737.00,3737.00,178,0\r\n2006-02-09,18:12:00,3738.00,3738.00,3737.00,3737.00,62,0\r\n2006-02-09,18:13:00,3737.00,3738.00,3736.00,3736.00,169,0\r\n2006-02-09,18:14:00,3737.00,3737.00,3737.00,3737.00,55,0\r\n2006-02-09,18:15:00,3738.00,3738.00,3737.00,3738.00,71,0\r\n2006-02-09,18:16:00,3737.00,3739.00,3737.00,3739.00,390,0\r\n2006-02-09,18:17:00,3739.00,3740.00,3739.00,3739.00,9,0\r\n2006-02-09,18:18:00,3740.00,3740.00,3739.00,3739.00,226,0\r\n2006-02-09,18:19:00,3739.00,3740.00,3739.00,3740.00,420,0\r\n2006-02-09,18:20:00,3740.00,3741.00,3740.00,3740.00,249,0\r\n2006-02-09,18:21:00,3740.00,3741.00,3739.00,3741.00,386,0\r\n2006-02-09,18:22:00,3741.00,3741.00,3740.00,3740.00,154,0\r\n2006-02-09,18:23:00,3740.00,3740.00,3740.00,3740.00,71,0\r\n2006-02-09,18:24:00,3741.00,3743.00,3741.00,3743.00,1148,0\r\n2006-02-09,18:25:00,3743.00,3743.00,3741.00,3742.00,286,0\r\n2006-02-09,18:26:00,3741.00,3743.00,3741.00,3743.00,234,0\r\n2006-02-09,18:27:00,3743.00,3744.00,3743.00,3743.00,1099,0\r\n2006-02-09,18:28:00,3743.00,3743.00,3742.00,3743.00,166,0\r\n2006-02-09,18:29:00,3743.00,3744.00,3743.00,3744.00,1501,0\r\n2006-02-09,18:30:00,3743.00,3744.00,3743.00,3743.00,199,0\r\n2006-02-09,18:31:00,3744.00,3744.00,3743.00,3743.00,408,0\r\n2006-02-09,18:32:00,3743.00,3743.00,3743.00,3743.00,140,0\r\n2006-02-09,18:33:00,3743.00,3744.00,3743.00,3744.00,135,0\r\n2006-02-09,18:34:00,3743.00,3743.00,3743.00,3743.00,33,0\r\n2006-02-09,18:35:00,3743.00,3743.00,3743.00,3743.00,172,0\r\n2006-02-09,18:36:00,3743.00,3744.00,3743.00,3743.00,321,0\r\n2006-02-09,18:37:00,3742.00,3743.00,3742.00,3743.00,30,0\r\n2006-02-09,18:38:00,3743.00,3743.00,3743.00,3743.00,254,0\r\n2006-02-09,18:39:00,3743.00,3744.00,3742.00,3743.00,507,0\r\n2006-02-09,18:40:00,3744.00,3746.00,3744.00,3745.00,1604,0\r\n2006-02-09,18:41:00,3745.00,3746.00,3745.00,3745.00,440,0\r\n2006-02-09,18:42:00,3745.00,3746.00,3743.00,3743.00,1514,0\r\n2006-02-09,18:43:00,3744.00,3744.00,3743.00,3743.00,336,0\r\n2006-02-09,18:44:00,3743.00,3744.00,3743.00,3744.00,176,0\r\n2006-02-09,18:45:00,3745.00,3745.00,3743.00,3743.00,227,0\r\n2006-02-09,18:46:00,3743.00,3743.00,3742.00,3742.00,224,0\r\n2006-02-09,18:47:00,3743.00,3743.00,3742.00,3742.00,144,0\r\n2006-02-09,18:48:00,3742.00,3744.00,3742.00,3743.00,182,0\r\n2006-02-09,18:49:00,3743.00,3743.00,3742.00,3742.00,286,0\r\n2006-02-09,18:50:00,3743.00,3743.00,3743.00,3743.00,15,0\r\n2006-02-09,18:51:00,3743.00,3743.00,3743.00,3743.00,15,0\r\n2006-02-09,18:52:00,3743.00,3744.00,3743.00,3744.00,274,0\r\n2006-02-09,18:53:00,3744.00,3744.00,3744.00,3744.00,6,0\r\n2006-02-09,18:55:00,3744.00,3744.00,3743.00,3743.00,247,0\r\n2006-02-09,18:56:00,3743.00,3743.00,3743.00,3743.00,146,0\r\n2006-02-09,18:57:00,3744.00,3744.00,3744.00,3744.00,10,0\r\n2006-02-09,18:58:00,3744.00,3744.00,3744.00,3744.00,292,0\r\n2006-02-09,18:59:00,3744.00,3744.00,3744.00,3744.00,117,0\r\n2006-02-09,19:00:00,3743.00,3743.00,3742.00,3743.00,307,0\r\n2006-02-09,19:01:00,3743.00,3743.00,3743.00,3743.00,69,0\r\n2006-02-09,19:02:00,3743.00,3744.00,3742.00,3744.00,101,0\r\n2006-02-09,19:03:00,3744.00,3746.00,3744.00,3746.00,571,0\r\n2006-02-09,19:04:00,3746.00,3749.00,3746.00,3746.00,2957,0\r\n2006-02-09,19:05:00,3747.00,3747.00,3746.00,3747.00,836,0\r\n2006-02-09,19:06:00,3747.00,3749.00,3747.00,3748.00,950,0\r\n2006-02-09,19:07:00,3747.00,3748.00,3747.00,3748.00,1138,0\r\n2006-02-09,19:08:00,3747.00,3747.00,3746.00,3746.00,471,0\r\n2006-02-09,19:09:00,3745.00,3747.00,3745.00,3747.00,350,0\r\n2006-02-09,19:10:00,3747.00,3747.00,3746.00,3746.00,987,0\r\n2006-02-09,19:11:00,3746.00,3747.00,3746.00,3747.00,51,0\r\n2006-02-09,19:12:00,3747.00,3748.00,3747.00,3748.00,545,0\r\n2006-02-09,19:13:00,3747.00,3747.00,3746.00,3746.00,516,0\r\n2006-02-09,19:14:00,3746.00,3747.00,3746.00,3746.00,332,0\r\n2006-02-09,19:15:00,3746.00,3748.00,3746.00,3748.00,1120,0\r\n2006-02-09,19:16:00,3748.00,3748.00,3747.00,3747.00,135,0\r\n2006-02-09,19:17:00,3747.00,3748.00,3746.00,3748.00,488,0\r\n2006-02-09,19:18:00,3747.00,3747.00,3746.00,3746.00,320,0\r\n2006-02-09,19:19:00,3745.00,3746.00,3745.00,3746.00,327,0\r\n2006-02-09,19:20:00,3745.00,3745.00,3745.00,3745.00,60,0\r\n2006-02-09,19:21:00,3745.00,3745.00,3744.00,3744.00,362,0\r\n2006-02-09,19:22:00,3744.00,3744.00,3741.00,3743.00,1714,0\r\n2006-02-09,19:23:00,3742.00,3742.00,3741.00,3742.00,566,0\r\n2006-02-09,19:24:00,3741.00,3742.00,3741.00,3741.00,302,0\r\n2006-02-09,19:25:00,3740.00,3740.00,3739.00,3740.00,1743,0\r\n2006-02-09,19:26:00,3740.00,3740.00,3740.00,3740.00,399,0\r\n2006-02-09,19:27:00,3740.00,3741.00,3740.00,3740.00,338,0\r\n2006-02-09,19:28:00,3739.00,3740.00,3738.00,3739.00,716,0\r\n2006-02-09,19:29:00,3739.00,3740.00,3739.00,3740.00,258,0\r\n2006-02-09,19:30:00,3740.00,3740.00,3739.00,3739.00,536,0\r\n2006-02-09,19:31:00,3739.00,3739.00,3738.00,3738.00,1051,0\r\n2006-02-09,19:32:00,3738.00,3738.00,3737.00,3738.00,758,0\r\n2006-02-09,19:33:00,3738.00,3739.00,3737.00,3738.00,762,0\r\n2006-02-09,19:34:00,3738.00,3738.00,3737.00,3738.00,238,0\r\n2006-02-09,19:35:00,3738.00,3740.00,3738.00,3740.00,544,0\r\n2006-02-09,19:36:00,3739.00,3741.00,3739.00,3740.00,182,0\r\n2006-02-09,19:37:00,3741.00,3741.00,3741.00,3741.00,126,0\r\n2006-02-09,19:38:00,3741.00,3742.00,3741.00,3741.00,51,0\r\n2006-02-09,19:39:00,3742.00,3742.00,3741.00,3741.00,49,0\r\n2006-02-09,19:40:00,3740.00,3740.00,3740.00,3740.00,165,0\r\n2006-02-09,19:41:00,3740.00,3740.00,3740.00,3740.00,8,0\r\n2006-02-09,19:42:00,3740.00,3740.00,3740.00,3740.00,95,0\r\n2006-02-09,19:43:00,3741.00,3741.00,3739.00,3740.00,506,0\r\n2006-02-09,19:44:00,3740.00,3740.00,3739.00,3739.00,232,0\r\n2006-02-09,19:45:00,3739.00,3740.00,3739.00,3740.00,133,0\r\n2006-02-09,19:46:00,3740.00,3740.00,3739.00,3740.00,101,0\r\n2006-02-09,19:47:00,3739.00,3740.00,3739.00,3739.00,294,0\r\n2006-02-09,19:48:00,3738.00,3739.00,3738.00,3738.00,213,0\r\n2006-02-09,19:49:00,3739.00,3740.00,3738.00,3740.00,136,0\r\n2006-02-09,19:50:00,3740.00,3740.00,3740.00,3740.00,5,0\r\n2006-02-09,19:51:00,3739.00,3739.00,3739.00,3739.00,218,0\r\n2006-02-09,19:52:00,3740.00,3740.00,3739.00,3739.00,488,0\r\n2006-02-09,19:53:00,3738.00,3740.00,3738.00,3740.00,496,0\r\n2006-02-09,19:54:00,3740.00,3741.00,3740.00,3740.00,402,0\r\n2006-02-09,19:55:00,3741.00,3742.00,3741.00,3742.00,162,0\r\n2006-02-09,19:56:00,3742.00,3742.00,3742.00,3742.00,61,0\r\n2006-02-09,19:57:00,3742.00,3742.00,3740.00,3740.00,150,0\r\n2006-02-09,19:58:00,3741.00,3741.00,3740.00,3740.00,64,0\r\n2006-02-09,19:59:00,3741.00,3741.00,3740.00,3740.00,19,0\r\n2006-02-09,20:00:00,3740.00,3740.00,3739.00,3739.00,106,0\r\n2006-02-09,20:01:00,3740.00,3740.00,3740.00,3740.00,53,0\r\n2006-02-09,20:02:00,3740.00,3740.00,3739.00,3739.00,101,0\r\n2006-02-09,20:03:00,3739.00,3739.00,3739.00,3739.00,1,0\r\n2006-02-09,20:04:00,3739.00,3739.00,3738.00,3738.00,25,0\r\n2006-02-09,20:05:00,3738.00,3739.00,3738.00,3739.00,40,0\r\n2006-02-09,20:06:00,3738.00,3739.00,3738.00,3739.00,32,0\r\n2006-02-09,20:07:00,3739.00,3739.00,3738.00,3739.00,28,0\r\n2006-02-09,20:08:00,3739.00,3739.00,3736.00,3736.00,292,0\r\n2006-02-09,20:09:00,3736.00,3736.00,3734.00,3735.00,1675,0\r\n2006-02-09,20:10:00,3734.00,3735.00,3734.00,3735.00,537,0\r\n2006-02-09,20:11:00,3734.00,3734.00,3734.00,3734.00,481,0\r\n2006-02-09,20:12:00,3733.00,3734.00,3733.00,3733.00,582,0\r\n2006-02-09,20:13:00,3732.00,3733.00,3732.00,3733.00,535,0\r\n2006-02-09,20:14:00,3733.00,3734.00,3732.00,3732.00,691,0\r\n2006-02-09,20:15:00,3732.00,3733.00,3732.00,3732.00,398,0\r\n2006-02-09,20:16:00,3732.00,3733.00,3731.00,3731.00,497,0\r\n2006-02-09,20:17:00,3731.00,3732.00,3731.00,3731.00,65,0\r\n2006-02-09,20:18:00,3732.00,3732.00,3731.00,3732.00,109,0\r\n2006-02-09,20:19:00,3732.00,3733.00,3732.00,3733.00,185,0\r\n2006-02-09,20:20:00,3733.00,3733.00,3732.00,3732.00,36,0\r\n2006-02-09,20:21:00,3733.00,3733.00,3733.00,3733.00,1,0\r\n2006-02-09,20:22:00,3733.00,3734.00,3733.00,3734.00,69,0\r\n2006-02-09,20:23:00,3734.00,3735.00,3733.00,3734.00,147,0\r\n2006-02-09,20:24:00,3734.00,3735.00,3734.00,3734.00,60,0\r\n2006-02-09,20:25:00,3734.00,3734.00,3734.00,3734.00,27,0\r\n2006-02-09,20:26:00,3734.00,3735.00,3734.00,3734.00,35,0\r\n2006-02-09,20:27:00,3734.00,3735.00,3734.00,3735.00,67,0\r\n2006-02-09,20:28:00,3735.00,3735.00,3735.00,3735.00,1,0\r\n2006-02-09,20:29:00,3735.00,3735.00,3735.00,3735.00,4,0\r\n2006-02-09,20:30:00,3735.00,3735.00,3734.00,3734.00,11,0\r\n2006-02-09,20:31:00,3735.00,3735.00,3734.00,3734.00,2,0\r\n2006-02-09,20:32:00,3735.00,3735.00,3734.00,3734.00,94,0\r\n2006-02-09,20:33:00,3734.00,3734.00,3734.00,3734.00,9,0\r\n2006-02-09,20:34:00,3734.00,3734.00,3734.00,3734.00,59,0\r\n2006-02-09,20:35:00,3733.00,3733.00,3733.00,3733.00,82,0\r\n2006-02-09,20:36:00,3733.00,3733.00,3732.00,3732.00,103,0\r\n2006-02-09,20:37:00,3732.00,3732.00,3732.00,3732.00,25,0\r\n2006-02-09,20:38:00,3731.00,3731.00,3731.00,3731.00,95,0\r\n2006-02-09,20:39:00,3731.00,3733.00,3731.00,3733.00,113,0\r\n2006-02-09,20:40:00,3734.00,3735.00,3734.00,3734.00,82,0\r\n2006-02-09,20:41:00,3734.00,3734.00,3734.00,3734.00,39,0\r\n2006-02-09,20:42:00,3734.00,3734.00,3734.00,3734.00,18,0\r\n2006-02-09,20:43:00,3734.00,3735.00,3734.00,3735.00,37,0\r\n2006-02-09,20:44:00,3735.00,3735.00,3735.00,3735.00,22,0\r\n2006-02-09,20:45:00,3734.00,3734.00,3734.00,3734.00,15,0\r\n2006-02-09,20:46:00,3735.00,3735.00,3735.00,3735.00,6,0\r\n2006-02-09,20:47:00,3735.00,3735.00,3735.00,3735.00,62,0\r\n2006-02-09,20:48:00,3735.00,3735.00,3735.00,3735.00,2,0\r\n2006-02-09,20:49:00,3734.00,3734.00,3734.00,3734.00,1,0\r\n2006-02-09,20:50:00,3735.00,3735.00,3735.00,3735.00,63,0\r\n2006-02-09,20:51:00,3735.00,3736.00,3735.00,3736.00,99,0\r\n2006-02-09,20:52:00,3736.00,3737.00,3736.00,3737.00,75,0\r\n2006-02-09,20:53:00,3737.00,3737.00,3736.00,3736.00,314,0\r\n2006-02-09,20:54:00,3736.00,3736.00,3736.00,3736.00,21,0\r\n2006-02-09,20:55:00,3735.00,3735.00,3735.00,3735.00,48,0\r\n2006-02-09,20:56:00,3735.00,3735.00,3735.00,3735.00,29,0\r\n2006-02-09,20:57:00,3735.00,3735.00,3734.00,3734.00,74,0\r\n2006-02-09,20:58:00,3733.00,3733.00,3733.00,3733.00,282,0\r\n2006-02-09,20:59:00,3734.00,3734.00,3734.00,3734.00,4,0\r\n2006-02-09,21:00:00,3733.00,3733.00,3732.00,3732.00,154,0\r\n2006-02-09,21:01:00,3732.00,3733.00,3730.00,3730.00,362,0\r\n2006-02-09,21:02:00,3730.00,3731.00,3729.00,3730.00,295,0\r\n2006-02-09,21:03:00,3730.00,3731.00,3730.00,3730.00,68,0\r\n2006-02-09,21:04:00,3731.00,3731.00,3731.00,3731.00,59,0\r\n2006-02-09,21:05:00,3731.00,3732.00,3731.00,3732.00,56,0\r\n2006-02-09,21:06:00,3732.00,3733.00,3730.00,3730.00,215,0\r\n2006-02-09,21:07:00,3730.00,3730.00,3729.00,3730.00,255,0\r\n2006-02-09,21:08:00,3729.00,3729.00,3729.00,3729.00,137,0\r\n2006-02-09,21:09:00,3729.00,3729.00,3728.00,3728.00,166,0\r\n2006-02-09,21:10:00,3729.00,3729.00,3729.00,3729.00,240,0\r\n2006-02-09,21:11:00,3729.00,3730.00,3729.00,3730.00,36,0\r\n2006-02-09,21:12:00,3729.00,3729.00,3729.00,3729.00,54,0\r\n2006-02-09,21:13:00,3730.00,3730.00,3729.00,3730.00,55,0\r\n2006-02-09,21:14:00,3730.00,3730.00,3730.00,3730.00,28,0\r\n2006-02-09,21:15:00,3730.00,3730.00,3730.00,3730.00,13,0\r\n2006-02-09,21:16:00,3729.00,3729.00,3729.00,3729.00,182,0\r\n2006-02-09,21:17:00,3729.00,3729.00,3728.00,3729.00,53,0\r\n2006-02-09,21:18:00,3728.00,3729.00,3728.00,3729.00,89,0\r\n2006-02-09,21:19:00,3729.00,3729.00,3729.00,3729.00,1,0\r\n2006-02-09,21:20:00,3728.00,3728.00,3727.00,3727.00,265,0\r\n2006-02-09,21:21:00,3727.00,3728.00,3727.00,3727.00,259,0\r\n2006-02-09,21:22:00,3727.00,3728.00,3727.00,3728.00,226,0\r\n2006-02-09,21:23:00,3728.00,3729.00,3728.00,3728.00,61,0\r\n2006-02-09,21:24:00,3728.00,3729.00,3728.00,3728.00,81,0\r\n2006-02-09,21:25:00,3729.00,3729.00,3729.00,3729.00,27,0\r\n2006-02-09,21:26:00,3730.00,3730.00,3729.00,3730.00,356,0\r\n2006-02-09,21:27:00,3729.00,3729.00,3729.00,3729.00,31,0\r\n2006-02-09,21:28:00,3728.00,3728.00,3727.00,3727.00,260,0\r\n2006-02-09,21:29:00,3727.00,3728.00,3727.00,3728.00,61,0\r\n2006-02-09,21:31:00,3728.00,3728.00,3727.00,3728.00,54,0\r\n2006-02-09,21:32:00,3728.00,3728.00,3726.00,3726.00,550,0\r\n2006-02-09,21:33:00,3725.00,3726.00,3725.00,3726.00,376,0\r\n2006-02-09,21:34:00,3726.00,3727.00,3726.00,3727.00,144,0\r\n2006-02-09,21:35:00,3726.00,3728.00,3726.00,3728.00,336,0\r\n2006-02-09,21:36:00,3727.00,3727.00,3727.00,3727.00,88,0\r\n2006-02-09,21:37:00,3727.00,3727.00,3727.00,3727.00,30,0\r\n2006-02-09,21:38:00,3727.00,3727.00,3725.00,3726.00,38,0\r\n2006-02-09,21:39:00,3727.00,3727.00,3727.00,3727.00,63,0\r\n2006-02-09,21:40:00,3726.00,3726.00,3726.00,3726.00,60,0\r\n2006-02-09,21:41:00,3726.00,3726.00,3724.00,3725.00,630,0\r\n2006-02-09,21:42:00,3724.00,3724.00,3723.00,3724.00,163,0\r\n2006-02-09,21:43:00,3724.00,3724.00,3723.00,3723.00,87,0\r\n2006-02-09,21:44:00,3723.00,3723.00,3717.00,3718.00,2910,0\r\n2006-02-09,21:45:00,3719.00,3720.00,3718.00,3720.00,173,0\r\n2006-02-09,21:46:00,3719.00,3720.00,3718.00,3720.00,198,0\r\n2006-02-09,21:47:00,3720.00,3720.00,3719.00,3720.00,252,0\r\n2006-02-09,21:48:00,3720.00,3720.00,3718.00,3718.00,654,0\r\n2006-02-09,21:49:00,3718.00,3719.00,3718.00,3719.00,283,0\r\n2006-02-09,21:50:00,3718.00,3719.00,3718.00,3718.00,140,0\r\n2006-02-09,21:51:00,3719.00,3720.00,3718.00,3719.00,165,0\r\n2006-02-09,21:52:00,3720.00,3720.00,3719.00,3720.00,282,0\r\n2006-02-09,21:53:00,3720.00,3720.00,3718.00,3719.00,382,0\r\n2006-02-09,21:54:00,3719.00,3719.00,3718.00,3719.00,529,0\r\n2006-02-09,21:55:00,3718.00,3718.00,3717.00,3718.00,236,0\r\n2006-02-09,21:56:00,3718.00,3718.00,3718.00,3718.00,9,0\r\n2006-02-09,21:57:00,3717.00,3718.00,3717.00,3718.00,220,0\r\n2006-02-09,21:58:00,3718.00,3718.00,3717.00,3717.00,179,0\r\n2006-02-09,21:59:00,3717.00,3718.00,3716.00,3716.00,536,0\r\n2006-02-09,22:00:00,3716.00,3717.00,3716.00,3717.00,559,0\r\n2006-02-10,09:01:00,3724.00,3725.00,3722.00,3723.00,3910,0\r\n2006-02-10,09:02:00,3723.00,3724.00,3717.00,3718.00,3870,0\r\n2006-02-10,09:03:00,3719.00,3720.00,3717.00,3720.00,2245,0\r\n2006-02-10,09:04:00,3719.00,3722.00,3719.00,3721.00,1617,0\r\n2006-02-10,09:05:00,3721.00,3724.00,3720.00,3724.00,1864,0\r\n2006-02-10,09:06:00,3723.00,3725.00,3721.00,3724.00,1987,0\r\n2006-02-10,09:07:00,3724.00,3726.00,3724.00,3725.00,1615,0\r\n2006-02-10,09:08:00,3725.00,3727.00,3725.00,3725.00,1232,0\r\n2006-02-10,09:09:00,3725.00,3726.00,3725.00,3725.00,457,0\r\n2006-02-10,09:10:00,3725.00,3726.00,3724.00,3726.00,821,0\r\n2006-02-10,09:11:00,3726.00,3727.00,3725.00,3727.00,1180,0\r\n2006-02-10,09:12:00,3728.00,3728.00,3724.00,3724.00,1416,0\r\n2006-02-10,09:13:00,3724.00,3725.00,3723.00,3724.00,1726,0\r\n2006-02-10,09:14:00,3724.00,3724.00,3721.00,3723.00,1489,0\r\n2006-02-10,09:15:00,3722.00,3724.00,3721.00,3721.00,1681,0\r\n2006-02-10,09:16:00,3721.00,3722.00,3720.00,3722.00,592,0\r\n2006-02-10,09:17:00,3721.00,3721.00,3719.00,3720.00,1075,0\r\n2006-02-10,09:18:00,3721.00,3721.00,3718.00,3719.00,2088,0\r\n2006-02-10,09:19:00,3719.00,3721.00,3718.00,3720.00,1022,0\r\n2006-02-10,09:20:00,3720.00,3722.00,3720.00,3721.00,624,0\r\n2006-02-10,09:21:00,3721.00,3722.00,3720.00,3721.00,388,0\r\n2006-02-10,09:22:00,3721.00,3722.00,3718.00,3718.00,1043,0\r\n2006-02-10,09:23:00,3718.00,3722.00,3718.00,3722.00,1029,0\r\n2006-02-10,09:24:00,3721.00,3722.00,3720.00,3720.00,348,0\r\n2006-02-10,09:25:00,3720.00,3720.00,3718.00,3719.00,654,0\r\n2006-02-10,09:26:00,3718.00,3720.00,3717.00,3719.00,668,0\r\n2006-02-10,09:27:00,3720.00,3722.00,3720.00,3721.00,1134,0\r\n2006-02-10,09:28:00,3721.00,3721.00,3720.00,3721.00,544,0\r\n2006-02-10,09:29:00,3721.00,3721.00,3720.00,3720.00,287,0\r\n2006-02-10,09:30:00,3720.00,3721.00,3719.00,3719.00,963,0\r\n2006-02-10,09:31:00,3719.00,3719.00,3716.00,3716.00,1128,0\r\n2006-02-10,09:32:00,3717.00,3718.00,3716.00,3718.00,1237,0\r\n2006-02-10,09:33:00,3718.00,3719.00,3717.00,3717.00,977,0\r\n2006-02-10,09:34:00,3717.00,3717.00,3715.00,3716.00,1628,0\r\n2006-02-10,09:35:00,3715.00,3717.00,3714.00,3715.00,1846,0\r\n2006-02-10,09:36:00,3715.00,3719.00,3714.00,3719.00,2072,0\r\n2006-02-10,09:37:00,3719.00,3720.00,3718.00,3719.00,730,0\r\n2006-02-10,09:38:00,3719.00,3720.00,3719.00,3719.00,360,0\r\n2006-02-10,09:39:00,3718.00,3719.00,3718.00,3719.00,125,0\r\n2006-02-10,09:40:00,3719.00,3719.00,3718.00,3719.00,176,0\r\n2006-02-10,09:41:00,3719.00,3720.00,3719.00,3720.00,271,0\r\n2006-02-10,09:42:00,3720.00,3722.00,3720.00,3720.00,931,0\r\n2006-02-10,09:43:00,3721.00,3721.00,3720.00,3720.00,445,0\r\n2006-02-10,09:44:00,3720.00,3721.00,3720.00,3720.00,195,0\r\n2006-02-10,09:45:00,3719.00,3720.00,3719.00,3719.00,431,0\r\n2006-02-10,09:46:00,3719.00,3720.00,3719.00,3719.00,596,0\r\n2006-02-10,09:47:00,3719.00,3720.00,3719.00,3720.00,308,0\r\n2006-02-10,09:48:00,3721.00,3721.00,3720.00,3721.00,178,0\r\n2006-02-10,09:49:00,3720.00,3720.00,3719.00,3720.00,676,0\r\n2006-02-10,09:50:00,3720.00,3720.00,3720.00,3720.00,92,0\r\n2006-02-10,09:51:00,3720.00,3721.00,3720.00,3721.00,106,0\r\n2006-02-10,09:52:00,3721.00,3722.00,3720.00,3721.00,237,0\r\n2006-02-10,09:53:00,3721.00,3721.00,3720.00,3721.00,234,0\r\n2006-02-10,09:54:00,3720.00,3721.00,3720.00,3721.00,3,0\r\n2006-02-10,09:55:00,3720.00,3720.00,3719.00,3719.00,384,0\r\n2006-02-10,09:56:00,3720.00,3723.00,3719.00,3723.00,1069,0\r\n2006-02-10,09:57:00,3723.00,3725.00,3722.00,3724.00,1599,0\r\n2006-02-10,09:58:00,3724.00,3724.00,3723.00,3723.00,425,0\r\n2006-02-10,09:59:00,3723.00,3723.00,3722.00,3722.00,261,0\r\n2006-02-10,10:00:00,3723.00,3724.00,3723.00,3723.00,984,0\r\n2006-02-10,10:01:00,3723.00,3724.00,3722.00,3724.00,595,0\r\n2006-02-10,10:02:00,3724.00,3724.00,3723.00,3723.00,163,0\r\n2006-02-10,10:03:00,3724.00,3725.00,3724.00,3725.00,1461,0\r\n2006-02-10,10:04:00,3725.00,3726.00,3724.00,3725.00,441,0\r\n2006-02-10,10:05:00,3724.00,3727.00,3724.00,3727.00,1121,0\r\n2006-02-10,10:06:00,3727.00,3727.00,3726.00,3727.00,1142,0\r\n2006-02-10,10:07:00,3726.00,3729.00,3726.00,3727.00,2276,0\r\n2006-02-10,10:08:00,3727.00,3727.00,3726.00,3726.00,965,0\r\n2006-02-10,10:09:00,3727.00,3727.00,3725.00,3727.00,562,0\r\n2006-02-10,10:10:00,3726.00,3726.00,3725.00,3725.00,179,0\r\n2006-02-10,10:11:00,3726.00,3727.00,3725.00,3725.00,700,0\r\n2006-02-10,10:12:00,3725.00,3726.00,3725.00,3725.00,489,0\r\n2006-02-10,10:13:00,3725.00,3727.00,3725.00,3727.00,239,0\r\n2006-02-10,10:14:00,3726.00,3727.00,3725.00,3726.00,205,0\r\n2006-02-10,10:15:00,3726.00,3726.00,3724.00,3724.00,195,0\r\n2006-02-10,10:16:00,3725.00,3726.00,3725.00,3725.00,535,0\r\n2006-02-10,10:17:00,3725.00,3725.00,3724.00,3725.00,10,0\r\n2006-02-10,10:18:00,3724.00,3725.00,3724.00,3725.00,206,0\r\n2006-02-10,10:19:00,3725.00,3725.00,3725.00,3725.00,34,0\r\n2006-02-10,10:20:00,3725.00,3727.00,3725.00,3726.00,388,0\r\n2006-02-10,10:21:00,3726.00,3727.00,3726.00,3726.00,337,0\r\n2006-02-10,10:22:00,3726.00,3726.00,3724.00,3724.00,183,0\r\n2006-02-10,10:23:00,3725.00,3725.00,3725.00,3725.00,68,0\r\n2006-02-10,10:24:00,3724.00,3724.00,3724.00,3724.00,339,0\r\n2006-02-10,10:25:00,3724.00,3724.00,3724.00,3724.00,31,0\r\n2006-02-10,10:26:00,3724.00,3724.00,3723.00,3723.00,649,0\r\n2006-02-10,10:27:00,3723.00,3724.00,3723.00,3723.00,211,0\r\n2006-02-10,10:28:00,3723.00,3724.00,3723.00,3724.00,393,0\r\n2006-02-10,10:29:00,3724.00,3724.00,3723.00,3724.00,140,0\r\n2006-02-10,10:30:00,3724.00,3725.00,3723.00,3724.00,538,0\r\n2006-02-10,10:31:00,3724.00,3724.00,3724.00,3724.00,139,0\r\n2006-02-10,10:32:00,3725.00,3726.00,3725.00,3726.00,477,0\r\n2006-02-10,10:33:00,3726.00,3727.00,3725.00,3726.00,248,0\r\n2006-02-10,10:34:00,3726.00,3727.00,3726.00,3726.00,14,0\r\n2006-02-10,10:35:00,3726.00,3728.00,3726.00,3727.00,596,0\r\n2006-02-10,10:36:00,3727.00,3728.00,3726.00,3727.00,1321,0\r\n2006-02-10,10:37:00,3728.00,3728.00,3727.00,3727.00,69,0\r\n2006-02-10,10:38:00,3728.00,3728.00,3727.00,3727.00,5591,0\r\n2006-02-10,10:39:00,3728.00,3728.00,3727.00,3728.00,366,0\r\n2006-02-10,10:40:00,3728.00,3730.00,3728.00,3729.00,2967,0\r\n2006-02-10,10:41:00,3729.00,3729.00,3728.00,3729.00,613,0\r\n2006-02-10,10:42:00,3728.00,3729.00,3728.00,3729.00,148,0\r\n2006-02-10,10:43:00,3729.00,3729.00,3728.00,3729.00,7038,0\r\n2006-02-10,10:44:00,3728.00,3729.00,3728.00,3728.00,194,0\r\n2006-02-10,10:45:00,3728.00,3730.00,3728.00,3730.00,915,0\r\n2006-02-10,10:46:00,3730.00,3732.00,3730.00,3731.00,1938,0\r\n2006-02-10,10:47:00,3731.00,3732.00,3731.00,3731.00,824,0\r\n2006-02-10,10:48:00,3731.00,3731.00,3730.00,3731.00,267,0\r\n2006-02-10,10:49:00,3731.00,3731.00,3730.00,3730.00,532,0\r\n2006-02-10,10:50:00,3730.00,3730.00,3729.00,3729.00,358,0\r\n2006-02-10,10:51:00,3730.00,3731.00,3729.00,3731.00,646,0\r\n2006-02-10,10:52:00,3731.00,3733.00,3731.00,3733.00,2399,0\r\n2006-02-10,10:53:00,3733.00,3734.00,3733.00,3733.00,1767,0\r\n2006-02-10,10:54:00,3733.00,3734.00,3733.00,3733.00,720,0\r\n2006-02-10,10:55:00,3733.00,3733.00,3732.00,3733.00,326,0\r\n2006-02-10,10:56:00,3733.00,3735.00,3733.00,3733.00,1816,0\r\n2006-02-10,10:57:00,3734.00,3735.00,3733.00,3733.00,635,0\r\n2006-02-10,10:58:00,3733.00,3734.00,3732.00,3732.00,2398,0\r\n2006-02-10,10:59:00,3733.00,3733.00,3732.00,3733.00,154,0\r\n2006-02-10,11:00:00,3734.00,3734.00,3733.00,3734.00,945,0\r\n2006-02-10,11:01:00,3734.00,3736.00,3734.00,3736.00,1004,0\r\n2006-02-10,11:02:00,3736.00,3736.00,3734.00,3735.00,855,0\r\n2006-02-10,11:03:00,3735.00,3737.00,3735.00,3736.00,2036,0\r\n2006-02-10,11:04:00,3736.00,3736.00,3735.00,3735.00,427,0\r\n2006-02-10,11:05:00,3736.00,3738.00,3736.00,3738.00,1649,0\r\n2006-02-10,11:06:00,3737.00,3740.00,3736.00,3739.00,2932,0\r\n2006-02-10,11:07:00,3739.00,3739.00,3737.00,3737.00,583,0\r\n2006-02-10,11:08:00,3737.00,3738.00,3737.00,3737.00,568,0\r\n2006-02-10,11:09:00,3738.00,3739.00,3737.00,3738.00,1064,0\r\n2006-02-10,11:10:00,3738.00,3738.00,3737.00,3738.00,508,0\r\n2006-02-10,11:11:00,3737.00,3738.00,3737.00,3737.00,22,0\r\n2006-02-10,11:12:00,3737.00,3738.00,3737.00,3738.00,30,0\r\n2006-02-10,11:13:00,3738.00,3738.00,3737.00,3738.00,305,0\r\n2006-02-10,11:14:00,3738.00,3740.00,3737.00,3739.00,959,0\r\n2006-02-10,11:15:00,3740.00,3741.00,3739.00,3740.00,1299,0\r\n2006-02-10,11:16:00,3741.00,3742.00,3740.00,3741.00,1277,0\r\n2006-02-10,11:17:00,3742.00,3742.00,3741.00,3742.00,1359,0\r\n2006-02-10,11:18:00,3742.00,3742.00,3741.00,3741.00,970,0\r\n2006-02-10,11:19:00,3741.00,3741.00,3739.00,3739.00,2293,0\r\n2006-02-10,11:20:00,3739.00,3740.00,3739.00,3740.00,140,0\r\n2006-02-10,11:21:00,3739.00,3741.00,3739.00,3740.00,456,0\r\n2006-02-10,11:22:00,3740.00,3741.00,3740.00,3740.00,275,0\r\n2006-02-10,11:23:00,3740.00,3740.00,3739.00,3739.00,289,0\r\n2006-02-10,11:24:00,3739.00,3740.00,3738.00,3738.00,471,0\r\n2006-02-10,11:25:00,3739.00,3739.00,3738.00,3739.00,27,0\r\n2006-02-10,11:26:00,3738.00,3739.00,3738.00,3738.00,81,0\r\n2006-02-10,11:27:00,3738.00,3739.00,3738.00,3738.00,44,0\r\n2006-02-10,11:28:00,3739.00,3739.00,3738.00,3738.00,90,0\r\n2006-02-10,11:29:00,3738.00,3738.00,3738.00,3738.00,267,0\r\n2006-02-10,11:30:00,3738.00,3739.00,3738.00,3739.00,36,0\r\n2006-02-10,11:31:00,3739.00,3739.00,3738.00,3739.00,2573,0\r\n2006-02-10,11:32:00,3739.00,3740.00,3739.00,3740.00,344,0\r\n2006-02-10,11:33:00,3739.00,3739.00,3738.00,3738.00,311,0\r\n2006-02-10,11:34:00,3739.00,3739.00,3738.00,3739.00,645,0\r\n2006-02-10,11:35:00,3738.00,3738.00,3737.00,3738.00,202,0\r\n2006-02-10,11:36:00,3738.00,3738.00,3737.00,3737.00,133,0\r\n2006-02-10,11:37:00,3738.00,3739.00,3737.00,3739.00,411,0\r\n2006-02-10,11:38:00,3738.00,3740.00,3738.00,3739.00,917,0\r\n2006-02-10,11:39:00,3739.00,3740.00,3738.00,3740.00,511,0\r\n2006-02-10,11:40:00,3740.00,3740.00,3739.00,3739.00,283,0\r\n2006-02-10,11:41:00,3739.00,3739.00,3739.00,3739.00,85,0\r\n2006-02-10,11:42:00,3738.00,3739.00,3738.00,3739.00,91,0\r\n2006-02-10,11:43:00,3739.00,3740.00,3739.00,3739.00,410,0\r\n2006-02-10,11:44:00,3739.00,3741.00,3739.00,3739.00,1404,0\r\n2006-02-10,11:45:00,3740.00,3740.00,3739.00,3740.00,104,0\r\n2006-02-10,11:46:00,3740.00,3740.00,3739.00,3739.00,47,0\r\n2006-02-10,11:47:00,3739.00,3739.00,3739.00,3739.00,145,0\r\n2006-02-10,11:48:00,3739.00,3739.00,3739.00,3739.00,301,0\r\n2006-02-10,11:49:00,3740.00,3740.00,3738.00,3738.00,667,0\r\n2006-02-10,11:50:00,3738.00,3738.00,3737.00,3738.00,225,0\r\n2006-02-10,11:51:00,3739.00,3739.00,3738.00,3738.00,148,0\r\n2006-02-10,11:52:00,3739.00,3739.00,3738.00,3738.00,32,0\r\n2006-02-10,11:53:00,3738.00,3739.00,3738.00,3739.00,19,0\r\n2006-02-10,11:54:00,3738.00,3739.00,3738.00,3739.00,467,0\r\n2006-02-10,11:55:00,3739.00,3739.00,3737.00,3738.00,168,0\r\n2006-02-10,11:56:00,3737.00,3737.00,3737.00,3737.00,299,0\r\n2006-02-10,11:57:00,3738.00,3738.00,3737.00,3737.00,214,0\r\n2006-02-10,11:58:00,3738.00,3738.00,3737.00,3737.00,202,0\r\n2006-02-10,11:59:00,3738.00,3738.00,3737.00,3737.00,310,0\r\n2006-02-10,12:00:00,3738.00,3738.00,3737.00,3737.00,23,0\r\n2006-02-10,12:01:00,3738.00,3738.00,3736.00,3737.00,757,0\r\n2006-02-10,12:02:00,3736.00,3736.00,3736.00,3736.00,472,0\r\n2006-02-10,12:03:00,3736.00,3737.00,3736.00,3737.00,79,0\r\n2006-02-10,12:04:00,3737.00,3737.00,3736.00,3737.00,838,0\r\n2006-02-10,12:05:00,3736.00,3737.00,3736.00,3737.00,515,0\r\n2006-02-10,12:06:00,3737.00,3737.00,3734.00,3735.00,1295,0\r\n2006-02-10,12:07:00,3735.00,3736.00,3735.00,3735.00,532,0\r\n2006-02-10,12:08:00,3735.00,3735.00,3734.00,3734.00,489,0\r\n2006-02-10,12:09:00,3735.00,3735.00,3733.00,3735.00,1093,0\r\n2006-02-10,12:10:00,3735.00,3736.00,3735.00,3735.00,1115,0\r\n2006-02-10,12:11:00,3735.00,3736.00,3735.00,3736.00,327,0\r\n2006-02-10,12:12:00,3736.00,3736.00,3735.00,3736.00,20,0\r\n2006-02-10,12:13:00,3736.00,3736.00,3736.00,3736.00,2,0\r\n2006-02-10,12:14:00,3735.00,3735.00,3735.00,3735.00,325,0\r\n2006-02-10,12:15:00,3735.00,3735.00,3735.00,3735.00,12,0\r\n2006-02-10,12:16:00,3735.00,3735.00,3734.00,3734.00,377,0\r\n2006-02-10,12:17:00,3734.00,3734.00,3733.00,3733.00,119,0\r\n2006-02-10,12:18:00,3733.00,3734.00,3732.00,3733.00,430,0\r\n2006-02-10,12:19:00,3734.00,3734.00,3733.00,3734.00,218,0\r\n2006-02-10,12:20:00,3733.00,3733.00,3733.00,3733.00,42,0\r\n2006-02-10,12:21:00,3733.00,3734.00,3733.00,3733.00,219,0\r\n2006-02-10,12:22:00,3734.00,3734.00,3732.00,3733.00,226,0\r\n2006-02-10,12:23:00,3733.00,3733.00,3732.00,3732.00,190,0\r\n2006-02-10,12:24:00,3732.00,3733.00,3732.00,3733.00,268,0\r\n2006-02-10,12:25:00,3734.00,3734.00,3733.00,3734.00,44,0\r\n2006-02-10,12:26:00,3733.00,3734.00,3733.00,3734.00,347,0\r\n2006-02-10,12:27:00,3733.00,3734.00,3733.00,3733.00,188,0\r\n2006-02-10,12:28:00,3734.00,3734.00,3733.00,3733.00,704,0\r\n2006-02-10,12:29:00,3733.00,3733.00,3731.00,3732.00,1006,0\r\n2006-02-10,12:30:00,3731.00,3732.00,3731.00,3732.00,437,0\r\n2006-02-10,12:31:00,3732.00,3732.00,3731.00,3731.00,321,0\r\n2006-02-10,12:32:00,3731.00,3731.00,3729.00,3730.00,1089,0\r\n2006-02-10,12:33:00,3729.00,3729.00,3729.00,3729.00,295,0\r\n2006-02-10,12:34:00,3729.00,3729.00,3727.00,3728.00,928,0\r\n2006-02-10,12:35:00,3728.00,3728.00,3727.00,3728.00,523,0\r\n2006-02-10,12:36:00,3728.00,3728.00,3727.00,3728.00,491,0\r\n2006-02-10,12:37:00,3728.00,3728.00,3726.00,3726.00,450,0\r\n2006-02-10,12:38:00,3727.00,3728.00,3727.00,3728.00,2272,0\r\n2006-02-10,12:39:00,3728.00,3728.00,3728.00,3728.00,26,0\r\n2006-02-10,12:40:00,3728.00,3728.00,3728.00,3728.00,2,0\r\n2006-02-10,12:41:00,3727.00,3727.00,3727.00,3727.00,541,0\r\n2006-02-10,12:42:00,3726.00,3727.00,3726.00,3726.00,411,0\r\n2006-02-10,12:43:00,3727.00,3727.00,3726.00,3726.00,721,0\r\n2006-02-10,12:44:00,3726.00,3726.00,3726.00,3726.00,331,0\r\n2006-02-10,12:45:00,3726.00,3727.00,3726.00,3727.00,309,0\r\n2006-02-10,12:46:00,3727.00,3728.00,3727.00,3727.00,386,0\r\n2006-02-10,12:47:00,3727.00,3728.00,3727.00,3727.00,52,0\r\n2006-02-10,12:48:00,3727.00,3729.00,3727.00,3727.00,776,0\r\n2006-02-10,12:49:00,3728.00,3728.00,3727.00,3728.00,53,0\r\n2006-02-10,12:50:00,3727.00,3728.00,3727.00,3727.00,65,0\r\n2006-02-10,12:51:00,3727.00,3728.00,3727.00,3728.00,130,0\r\n2006-02-10,12:52:00,3728.00,3728.00,3727.00,3727.00,101,0\r\n2006-02-10,12:53:00,3726.00,3726.00,3726.00,3726.00,13,0\r\n2006-02-10,12:54:00,3726.00,3726.00,3726.00,3726.00,3,0\r\n2006-02-10,12:55:00,3727.00,3727.00,3726.00,3726.00,22,0\r\n2006-02-10,12:56:00,3726.00,3727.00,3726.00,3726.00,322,0\r\n2006-02-10,12:57:00,3726.00,3727.00,3726.00,3726.00,178,0\r\n2006-02-10,12:58:00,3727.00,3727.00,3726.00,3727.00,371,0\r\n2006-02-10,12:59:00,3727.00,3727.00,3726.00,3727.00,38,0\r\n2006-02-10,13:00:00,3727.00,3727.00,3726.00,3727.00,49,0\r\n2006-02-10,13:01:00,3726.00,3727.00,3726.00,3727.00,109,0\r\n2006-02-10,13:02:00,3727.00,3728.00,3727.00,3728.00,119,0\r\n2006-02-10,13:03:00,3728.00,3728.00,3727.00,3727.00,32,0\r\n2006-02-10,13:04:00,3728.00,3728.00,3727.00,3727.00,10,0\r\n2006-02-10,13:05:00,3728.00,3728.00,3727.00,3728.00,124,0\r\n2006-02-10,13:06:00,3728.00,3728.00,3728.00,3728.00,304,0\r\n2006-02-10,13:07:00,3728.00,3728.00,3727.00,3728.00,236,0\r\n2006-02-10,13:08:00,3728.00,3728.00,3727.00,3728.00,30,0\r\n2006-02-10,13:09:00,3728.00,3728.00,3728.00,3728.00,48,0\r\n2006-02-10,13:10:00,3728.00,3728.00,3726.00,3726.00,402,0\r\n2006-02-10,13:11:00,3727.00,3727.00,3726.00,3727.00,473,0\r\n2006-02-10,13:12:00,3727.00,3727.00,3726.00,3727.00,224,0\r\n2006-02-10,13:13:00,3727.00,3728.00,3727.00,3728.00,82,0\r\n2006-02-10,13:14:00,3728.00,3728.00,3727.00,3727.00,904,0\r\n2006-02-10,13:16:00,3728.00,3729.00,3727.00,3729.00,505,0\r\n2006-02-10,13:17:00,3728.00,3728.00,3727.00,3728.00,172,0\r\n2006-02-10,13:18:00,3728.00,3729.00,3728.00,3729.00,1861,0\r\n2006-02-10,13:19:00,3729.00,3733.00,3729.00,3733.00,2298,0\r\n2006-02-10,13:20:00,3733.00,3734.00,3733.00,3734.00,1250,0\r\n2006-02-10,13:21:00,3733.00,3734.00,3733.00,3733.00,58,0\r\n2006-02-10,13:22:00,3734.00,3734.00,3733.00,3733.00,188,0\r\n2006-02-10,13:23:00,3732.00,3732.00,3732.00,3732.00,50,0\r\n2006-02-10,13:24:00,3732.00,3734.00,3732.00,3733.00,467,0\r\n2006-02-10,13:25:00,3733.00,3733.00,3732.00,3732.00,7,0\r\n2006-02-10,13:26:00,3732.00,3733.00,3732.00,3733.00,304,0\r\n2006-02-10,13:27:00,3732.00,3732.00,3732.00,3732.00,150,0\r\n2006-02-10,13:28:00,3733.00,3733.00,3731.00,3731.00,49,0\r\n2006-02-10,13:29:00,3731.00,3732.00,3731.00,3731.00,243,0\r\n2006-02-10,13:30:00,3731.00,3731.00,3731.00,3731.00,22,0\r\n2006-02-10,13:31:00,3732.00,3732.00,3731.00,3732.00,48,0\r\n2006-02-10,13:32:00,3732.00,3732.00,3731.00,3731.00,182,0\r\n2006-02-10,13:33:00,3731.00,3732.00,3731.00,3732.00,142,0\r\n2006-02-10,13:34:00,3732.00,3732.00,3731.00,3731.00,12,0\r\n2006-02-10,13:35:00,3731.00,3731.00,3731.00,3731.00,9,0\r\n2006-02-10,13:36:00,3731.00,3731.00,3731.00,3731.00,1,0\r\n2006-02-10,13:37:00,3732.00,3735.00,3731.00,3735.00,1143,0\r\n2006-02-10,13:38:00,3734.00,3735.00,3734.00,3735.00,783,0\r\n2006-02-10,13:39:00,3735.00,3735.00,3734.00,3734.00,72,0\r\n2006-02-10,13:40:00,3735.00,3735.00,3734.00,3734.00,421,0\r\n2006-02-10,13:41:00,3733.00,3734.00,3733.00,3734.00,67,0\r\n2006-02-10,13:42:00,3734.00,3736.00,3734.00,3735.00,767,0\r\n2006-02-10,13:43:00,3736.00,3736.00,3735.00,3735.00,22,0\r\n2006-02-10,13:44:00,3735.00,3735.00,3734.00,3734.00,72,0\r\n2006-02-10,13:45:00,3735.00,3735.00,3733.00,3733.00,345,0\r\n2006-02-10,13:46:00,3734.00,3734.00,3733.00,3734.00,10,0\r\n2006-02-10,13:47:00,3733.00,3736.00,3733.00,3736.00,543,0\r\n2006-02-10,13:48:00,3735.00,3736.00,3735.00,3736.00,800,0\r\n2006-02-10,13:49:00,3736.00,3737.00,3736.00,3736.00,635,0\r\n2006-02-10,13:50:00,3736.00,3736.00,3736.00,3736.00,570,0\r\n2006-02-10,13:51:00,3735.00,3736.00,3735.00,3736.00,36,0\r\n2006-02-10,13:52:00,3736.00,3736.00,3735.00,3736.00,334,0\r\n2006-02-10,13:53:00,3735.00,3735.00,3735.00,3735.00,78,0\r\n2006-02-10,13:54:00,3735.00,3735.00,3734.00,3735.00,226,0\r\n2006-02-10,13:55:00,3736.00,3736.00,3735.00,3735.00,5,0\r\n2006-02-10,13:56:00,3735.00,3735.00,3735.00,3735.00,181,0\r\n2006-02-10,13:57:00,3735.00,3735.00,3735.00,3735.00,103,0\r\n2006-02-10,13:58:00,3736.00,3736.00,3735.00,3735.00,397,0\r\n2006-02-10,13:59:00,3735.00,3736.00,3735.00,3736.00,11,0\r\n2006-02-10,14:00:00,3735.00,3736.00,3735.00,3736.00,8,0\r\n2006-02-10,14:01:00,3736.00,3736.00,3735.00,3735.00,304,0\r\n2006-02-10,14:02:00,3735.00,3735.00,3735.00,3735.00,102,0\r\n2006-02-10,14:03:00,3735.00,3735.00,3734.00,3734.00,6,0\r\n2006-02-10,14:04:00,3735.00,3735.00,3735.00,3735.00,108,0\r\n2006-02-10,14:05:00,3736.00,3736.00,3735.00,3735.00,221,0\r\n2006-02-10,14:06:00,3735.00,3735.00,3735.00,3735.00,8,0\r\n2006-02-10,14:07:00,3735.00,3735.00,3734.00,3735.00,410,0\r\n2006-02-10,14:08:00,3734.00,3734.00,3733.00,3733.00,294,0\r\n2006-02-10,14:10:00,3734.00,3734.00,3733.00,3733.00,287,0\r\n2006-02-10,14:11:00,3734.00,3734.00,3733.00,3733.00,30,0\r\n2006-02-10,14:12:00,3733.00,3733.00,3733.00,3733.00,333,0\r\n2006-02-10,14:13:00,3734.00,3734.00,3733.00,3733.00,62,0\r\n2006-02-10,14:14:00,3734.00,3734.00,3732.00,3733.00,67,0\r\n2006-02-10,14:15:00,3733.00,3733.00,3733.00,3733.00,20,0\r\n2006-02-10,14:16:00,3733.00,3733.00,3733.00,3733.00,128,0\r\n2006-02-10,14:17:00,3733.00,3733.00,3733.00,3733.00,73,0\r\n2006-02-10,14:18:00,3733.00,3734.00,3733.00,3733.00,100,0\r\n2006-02-10,14:19:00,3733.00,3734.00,3732.00,3733.00,125,0\r\n2006-02-10,14:20:00,3733.00,3733.00,3730.00,3731.00,395,0\r\n2006-02-10,14:21:00,3731.00,3732.00,3730.00,3731.00,300,0\r\n2006-02-10,14:22:00,3731.00,3731.00,3730.00,3731.00,108,0\r\n2006-02-10,14:23:00,3731.00,3731.00,3731.00,3731.00,313,0\r\n2006-02-10,14:24:00,3731.00,3731.00,3731.00,3731.00,19,0\r\n2006-02-10,14:25:00,3732.00,3732.00,3730.00,3730.00,80,0\r\n2006-02-10,14:26:00,3731.00,3731.00,3730.00,3730.00,1738,0\r\n2006-02-10,14:27:00,3730.00,3730.00,3730.00,3730.00,40,0\r\n2006-02-10,14:28:00,3731.00,3731.00,3730.00,3730.00,1008,0\r\n2006-02-10,14:29:00,3731.00,3731.00,3731.00,3731.00,50,0\r\n2006-02-10,14:30:00,3731.00,3731.00,3730.00,3731.00,142,0\r\n2006-02-10,14:31:00,3731.00,3732.00,3728.00,3728.00,1154,0\r\n2006-02-10,14:32:00,3728.00,3730.00,3727.00,3729.00,810,0\r\n2006-02-10,14:33:00,3730.00,3730.00,3729.00,3729.00,78,0\r\n2006-02-10,14:34:00,3730.00,3730.00,3729.00,3729.00,111,0\r\n2006-02-10,14:35:00,3729.00,3729.00,3726.00,3727.00,1734,0\r\n2006-02-10,14:36:00,3726.00,3727.00,3725.00,3727.00,1204,0\r\n2006-02-10,14:37:00,3727.00,3727.00,3726.00,3727.00,566,0\r\n2006-02-10,14:38:00,3727.00,3727.00,3726.00,3727.00,35,0\r\n2006-02-10,14:39:00,3727.00,3727.00,3723.00,3723.00,3528,0\r\n2006-02-10,14:40:00,3724.00,3724.00,3721.00,3721.00,1064,0\r\n2006-02-10,14:41:00,3722.00,3722.00,3719.00,3720.00,3828,0\r\n2006-02-10,14:42:00,3721.00,3723.00,3720.00,3723.00,2852,0\r\n2006-02-10,14:43:00,3723.00,3723.00,3722.00,3722.00,749,0\r\n2006-02-10,14:44:00,3722.00,3724.00,3722.00,3724.00,281,0\r\n2006-02-10,14:45:00,3723.00,3723.00,3722.00,3723.00,1392,0\r\n2006-02-10,14:46:00,3722.00,3723.00,3721.00,3722.00,800,0\r\n2006-02-10,14:47:00,3722.00,3723.00,3721.00,3722.00,235,0\r\n2006-02-10,14:48:00,3722.00,3723.00,3722.00,3723.00,430,0\r\n2006-02-10,14:49:00,3724.00,3724.00,3722.00,3722.00,143,0\r\n2006-02-10,14:50:00,3722.00,3722.00,3722.00,3722.00,35,0\r\n2006-02-10,14:51:00,3722.00,3723.00,3722.00,3723.00,486,0\r\n2006-02-10,14:52:00,3724.00,3724.00,3724.00,3724.00,21,0\r\n2006-02-10,14:53:00,3724.00,3724.00,3723.00,3723.00,530,0\r\n2006-02-10,14:54:00,3723.00,3724.00,3723.00,3724.00,220,0\r\n2006-02-10,14:55:00,3724.00,3724.00,3723.00,3723.00,85,0\r\n2006-02-10,14:56:00,3723.00,3724.00,3723.00,3723.00,296,0\r\n2006-02-10,14:57:00,3723.00,3723.00,3722.00,3722.00,280,0\r\n2006-02-10,14:58:00,3722.00,3723.00,3719.00,3720.00,1473,0\r\n2006-02-10,14:59:00,3720.00,3720.00,3719.00,3720.00,746,0\r\n2006-02-10,15:00:00,3720.00,3720.00,3719.00,3719.00,358,0\r\n2006-02-10,15:01:00,3718.00,3719.00,3717.00,3718.00,2397,0\r\n2006-02-10,15:02:00,3719.00,3722.00,3719.00,3720.00,1421,0\r\n2006-02-10,15:03:00,3721.00,3721.00,3720.00,3721.00,660,0\r\n2006-02-10,15:04:00,3721.00,3721.00,3720.00,3721.00,198,0\r\n2006-02-10,15:05:00,3722.00,3722.00,3721.00,3722.00,461,0\r\n2006-02-10,15:06:00,3723.00,3723.00,3721.00,3721.00,923,0\r\n2006-02-10,15:07:00,3721.00,3721.00,3720.00,3720.00,661,0\r\n2006-02-10,15:08:00,3720.00,3720.00,3717.00,3718.00,2188,0\r\n2006-02-10,15:09:00,3719.00,3720.00,3718.00,3720.00,1686,0\r\n2006-02-10,15:10:00,3720.00,3720.00,3719.00,3719.00,1164,0\r\n2006-02-10,15:11:00,3718.00,3719.00,3718.00,3719.00,134,0\r\n2006-02-10,15:12:00,3719.00,3720.00,3719.00,3720.00,1030,0\r\n2006-02-10,15:13:00,3720.00,3720.00,3719.00,3720.00,208,0\r\n2006-02-10,15:14:00,3719.00,3720.00,3719.00,3720.00,63,0\r\n2006-02-10,15:15:00,3720.00,3720.00,3719.00,3719.00,412,0\r\n2006-02-10,15:16:00,3719.00,3720.00,3719.00,3720.00,25,0\r\n2006-02-10,15:17:00,3720.00,3721.00,3719.00,3720.00,519,0\r\n2006-02-10,15:18:00,3720.00,3720.00,3719.00,3720.00,175,0\r\n2006-02-10,15:19:00,3720.00,3721.00,3720.00,3720.00,12,0\r\n2006-02-10,15:20:00,3721.00,3722.00,3721.00,3721.00,656,0\r\n2006-02-10,15:21:00,3721.00,3721.00,3720.00,3720.00,750,0\r\n2006-02-10,15:22:00,3721.00,3721.00,3720.00,3721.00,220,0\r\n2006-02-10,15:23:00,3722.00,3722.00,3722.00,3722.00,124,0\r\n2006-02-10,15:24:00,3721.00,3722.00,3720.00,3721.00,821,0\r\n2006-02-10,15:25:00,3721.00,3722.00,3721.00,3721.00,1439,0\r\n2006-02-10,15:26:00,3721.00,3721.00,3720.00,3721.00,555,0\r\n2006-02-10,15:27:00,3721.00,3721.00,3721.00,3721.00,137,0\r\n2006-02-10,15:28:00,3721.00,3721.00,3720.00,3720.00,1784,0\r\n2006-02-10,15:29:00,3720.00,3720.00,3720.00,3720.00,70,0\r\n2006-02-10,15:30:00,3720.00,3721.00,3720.00,3720.00,648,0\r\n2006-02-10,15:31:00,3720.00,3721.00,3719.00,3720.00,99,0\r\n2006-02-10,15:32:00,3720.00,3721.00,3720.00,3720.00,405,0\r\n2006-02-10,15:33:00,3720.00,3722.00,3720.00,3722.00,299,0\r\n2006-02-10,15:34:00,3722.00,3722.00,3721.00,3721.00,849,0\r\n2006-02-10,15:35:00,3721.00,3721.00,3720.00,3721.00,983,0\r\n2006-02-10,15:36:00,3721.00,3721.00,3720.00,3721.00,408,0\r\n2006-02-10,15:37:00,3721.00,3721.00,3719.00,3720.00,639,0\r\n2006-02-10,15:38:00,3720.00,3720.00,3718.00,3718.00,2041,0\r\n2006-02-10,15:39:00,3718.00,3718.00,3716.00,3716.00,2252,0\r\n2006-02-10,15:40:00,3717.00,3718.00,3715.00,3717.00,2465,0\r\n2006-02-10,15:41:00,3717.00,3718.00,3716.00,3717.00,903,0\r\n2006-02-10,15:42:00,3716.00,3718.00,3716.00,3717.00,561,0\r\n2006-02-10,15:43:00,3718.00,3719.00,3717.00,3719.00,1268,0\r\n2006-02-10,15:44:00,3719.00,3720.00,3716.00,3716.00,2764,0\r\n2006-02-10,15:45:00,3716.00,3716.00,3714.00,3716.00,2170,0\r\n2006-02-10,15:46:00,3716.00,3716.00,3715.00,3716.00,268,0\r\n2006-02-10,15:47:00,3716.00,3718.00,3715.00,3717.00,1563,0\r\n2006-02-10,15:48:00,3717.00,3719.00,3716.00,3719.00,960,0\r\n2006-02-10,15:49:00,3719.00,3722.00,3719.00,3722.00,1804,0\r\n2006-02-10,15:50:00,3722.00,3723.00,3721.00,3723.00,745,0\r\n2006-02-10,15:51:00,3723.00,3724.00,3722.00,3723.00,2159,0\r\n2006-02-10,15:52:00,3724.00,3725.00,3723.00,3724.00,1113,0\r\n2006-02-10,15:53:00,3724.00,3725.00,3723.00,3723.00,698,0\r\n2006-02-10,15:54:00,3724.00,3727.00,3724.00,3724.00,2579,0\r\n2006-02-10,15:55:00,3725.00,3727.00,3725.00,3726.00,1033,0\r\n2006-02-10,15:56:00,3726.00,3726.00,3725.00,3726.00,511,0\r\n2006-02-10,15:57:00,3725.00,3726.00,3724.00,3724.00,445,0\r\n2006-02-10,15:58:00,3724.00,3725.00,3723.00,3724.00,838,0\r\n2006-02-10,15:59:00,3724.00,3724.00,3722.00,3722.00,715,0\r\n2006-02-10,16:00:00,3722.00,3724.00,3722.00,3723.00,993,0\r\n2006-02-10,16:01:00,3723.00,3723.00,3719.00,3720.00,1613,0\r\n2006-02-10,16:02:00,3719.00,3719.00,3717.00,3718.00,1539,0\r\n2006-02-10,16:03:00,3718.00,3720.00,3718.00,3720.00,1758,0\r\n2006-02-10,16:04:00,3720.00,3721.00,3720.00,3721.00,650,0\r\n2006-02-10,16:05:00,3721.00,3721.00,3717.00,3717.00,2073,0\r\n2006-02-10,16:06:00,3716.00,3718.00,3715.00,3715.00,1343,0\r\n2006-02-10,16:07:00,3716.00,3716.00,3712.00,3714.00,4587,0\r\n2006-02-10,16:08:00,3714.00,3715.00,3713.00,3715.00,1837,0\r\n2006-02-10,16:09:00,3715.00,3715.00,3712.00,3713.00,3661,0\r\n2006-02-10,16:10:00,3713.00,3714.00,3709.00,3709.00,5333,0\r\n2006-02-10,16:11:00,3709.00,3710.00,3706.00,3707.00,7995,0\r\n2006-02-10,16:12:00,3707.00,3708.00,3706.00,3707.00,3624,0\r\n2006-02-10,16:13:00,3707.00,3708.00,3706.00,3707.00,2485,0\r\n2006-02-10,16:14:00,3708.00,3711.00,3707.00,3711.00,3195,0\r\n2006-02-10,16:15:00,3711.00,3712.00,3710.00,3712.00,3521,0\r\n2006-02-10,16:16:00,3712.00,3712.00,3710.00,3710.00,1536,0\r\n2006-02-10,16:17:00,3710.00,3712.00,3710.00,3711.00,720,0\r\n2006-02-10,16:18:00,3712.00,3712.00,3710.00,3710.00,1397,0\r\n2006-02-10,16:19:00,3710.00,3712.00,3709.00,3711.00,1014,0\r\n2006-02-10,16:20:00,3711.00,3711.00,3709.00,3709.00,713,0\r\n2006-02-10,16:21:00,3709.00,3712.00,3709.00,3712.00,1322,0\r\n2006-02-10,16:22:00,3712.00,3712.00,3710.00,3710.00,611,0\r\n2006-02-10,16:23:00,3710.00,3711.00,3710.00,3711.00,848,0\r\n2006-02-10,16:24:00,3711.00,3712.00,3711.00,3712.00,928,0\r\n2006-02-10,16:25:00,3711.00,3712.00,3709.00,3712.00,3948,0\r\n2006-02-10,16:26:00,3711.00,3712.00,3709.00,3709.00,1245,0\r\n2006-02-10,16:27:00,3709.00,3711.00,3708.00,3711.00,1519,0\r\n2006-02-10,16:28:00,3711.00,3715.00,3711.00,3715.00,2613,0\r\n2006-02-10,16:29:00,3715.00,3715.00,3714.00,3714.00,1989,0\r\n2006-02-10,16:30:00,3713.00,3716.00,3713.00,3715.00,846,0\r\n2006-02-10,16:31:00,3715.00,3716.00,3714.00,3714.00,1371,0\r\n2006-02-10,16:32:00,3714.00,3716.00,3714.00,3715.00,2108,0\r\n2006-02-10,16:33:00,3715.00,3717.00,3714.00,3716.00,1813,0\r\n2006-02-10,16:34:00,3716.00,3716.00,3714.00,3715.00,1658,0\r\n2006-02-10,16:35:00,3715.00,3715.00,3712.00,3713.00,1499,0\r\n2006-02-10,16:36:00,3713.00,3715.00,3712.00,3712.00,2320,0\r\n2006-02-10,16:37:00,3712.00,3712.00,3704.00,3705.00,5421,0\r\n2006-02-10,16:38:00,3704.00,3706.00,3703.00,3705.00,7292,0\r\n2006-02-10,16:39:00,3705.00,3707.00,3704.00,3706.00,1101,0\r\n2006-02-10,16:40:00,3706.00,3709.00,3706.00,3708.00,1712,0\r\n2006-02-10,16:41:00,3708.00,3709.00,3703.00,3704.00,5200,0\r\n2006-02-10,16:42:00,3704.00,3707.00,3704.00,3706.00,1308,0\r\n2006-02-10,16:43:00,3707.00,3708.00,3706.00,3707.00,821,0\r\n2006-02-10,16:44:00,3708.00,3708.00,3703.00,3704.00,2051,0\r\n2006-02-10,16:45:00,3704.00,3705.00,3700.00,3701.00,7992,0\r\n2006-02-10,16:46:00,3700.00,3703.00,3699.00,3701.00,3323,0\r\n2006-02-10,16:47:00,3702.00,3705.00,3701.00,3703.00,2589,0\r\n2006-02-10,16:48:00,3703.00,3704.00,3701.00,3704.00,2745,0\r\n2006-02-10,16:49:00,3704.00,3704.00,3702.00,3704.00,1692,0\r\n2006-02-10,16:50:00,3704.00,3705.00,3703.00,3704.00,2088,0\r\n2006-02-10,16:51:00,3705.00,3705.00,3704.00,3705.00,1081,0\r\n2006-02-10,16:52:00,3705.00,3707.00,3705.00,3706.00,1450,0\r\n2006-02-10,16:53:00,3707.00,3712.00,3707.00,3711.00,3664,0\r\n2006-02-10,16:54:00,3711.00,3711.00,3709.00,3711.00,1700,0\r\n2006-02-10,16:55:00,3710.00,3711.00,3709.00,3711.00,2311,0\r\n2006-02-10,16:56:00,3711.00,3712.00,3710.00,3710.00,1183,0\r\n2006-02-10,16:57:00,3710.00,3711.00,3709.00,3710.00,1226,0\r\n2006-02-10,16:58:00,3710.00,3710.00,3707.00,3707.00,962,0\r\n2006-02-10,16:59:00,3707.00,3709.00,3707.00,3709.00,1568,0\r\n2006-02-10,17:00:00,3709.00,3710.00,3707.00,3707.00,1305,0\r\n2006-02-10,17:01:00,3708.00,3708.00,3704.00,3705.00,1906,0\r\n2006-02-10,17:02:00,3705.00,3705.00,3703.00,3704.00,2631,0\r\n2006-02-10,17:03:00,3705.00,3707.00,3704.00,3706.00,1302,0\r\n2006-02-10,17:04:00,3706.00,3708.00,3705.00,3708.00,1431,0\r\n2006-02-10,17:05:00,3708.00,3709.00,3707.00,3708.00,1203,0\r\n2006-02-10,17:06:00,3708.00,3710.00,3708.00,3709.00,802,0\r\n2006-02-10,17:07:00,3709.00,3712.00,3708.00,3711.00,2113,0\r\n2006-02-10,17:08:00,3710.00,3711.00,3708.00,3710.00,2169,0\r\n2006-02-10,17:09:00,3710.00,3711.00,3709.00,3710.00,511,0\r\n2006-02-10,17:10:00,3711.00,3711.00,3709.00,3710.00,1063,0\r\n2006-02-10,17:11:00,3710.00,3710.00,3709.00,3709.00,948,0\r\n2006-02-10,17:12:00,3710.00,3711.00,3709.00,3710.00,1737,0\r\n2006-02-10,17:13:00,3710.00,3711.00,3709.00,3710.00,677,0\r\n2006-02-10,17:14:00,3709.00,3711.00,3709.00,3710.00,1006,0\r\n2006-02-10,17:15:00,3711.00,3711.00,3708.00,3709.00,771,0\r\n2006-02-10,17:16:00,3709.00,3709.00,3706.00,3707.00,2201,0\r\n2006-02-10,17:17:00,3707.00,3708.00,3706.00,3707.00,1139,0\r\n2006-02-10,17:18:00,3707.00,3707.00,3705.00,3706.00,871,0\r\n2006-02-10,17:19:00,3705.00,3707.00,3705.00,3707.00,821,0\r\n2006-02-10,17:20:00,3707.00,3707.00,3704.00,3705.00,1661,0\r\n2006-02-10,17:21:00,3705.00,3705.00,3704.00,3704.00,512,0\r\n2006-02-10,17:22:00,3704.00,3706.00,3703.00,3706.00,1639,0\r\n2006-02-10,17:23:00,3707.00,3709.00,3707.00,3708.00,1317,0\r\n2006-02-10,17:24:00,3708.00,3710.00,3707.00,3709.00,1826,0\r\n2006-02-10,17:25:00,3709.00,3710.00,3709.00,3710.00,1058,0\r\n2006-02-10,17:26:00,3710.00,3711.00,3709.00,3709.00,1504,0\r\n2006-02-10,17:27:00,3709.00,3711.00,3709.00,3709.00,1715,0\r\n2006-02-10,17:28:00,3709.00,3710.00,3708.00,3709.00,413,0\r\n2006-02-10,17:29:00,3709.00,3709.00,3707.00,3707.00,1819,0\r\n2006-02-10,17:30:00,3707.00,3708.00,3705.00,3706.00,3047,0\r\n2006-02-10,17:31:00,3706.00,3706.00,3702.00,3704.00,4314,0\r\n2006-02-10,17:32:00,3704.00,3704.00,3703.00,3704.00,2273,0\r\n2006-02-10,17:33:00,3704.00,3705.00,3702.00,3703.00,1506,0\r\n2006-02-10,17:34:00,3703.00,3704.00,3703.00,3704.00,299,0\r\n2006-02-10,17:35:00,3703.00,3703.00,3701.00,3702.00,2805,0\r\n2006-02-10,17:36:00,3702.00,3703.00,3702.00,3703.00,1226,0\r\n2006-02-10,17:37:00,3702.00,3704.00,3702.00,3703.00,1870,0\r\n2006-02-10,17:38:00,3704.00,3704.00,3702.00,3704.00,1346,0\r\n2006-02-10,17:39:00,3704.00,3707.00,3704.00,3707.00,1178,0\r\n2006-02-10,17:40:00,3707.00,3708.00,3706.00,3706.00,1040,0\r\n2006-02-10,17:41:00,3706.00,3708.00,3706.00,3707.00,1020,0\r\n2006-02-10,17:42:00,3707.00,3708.00,3707.00,3708.00,1975,0\r\n2006-02-10,17:43:00,3708.00,3708.00,3706.00,3706.00,1242,0\r\n2006-02-10,17:44:00,3706.00,3706.00,3704.00,3704.00,2144,0\r\n2006-02-10,17:45:00,3705.00,3705.00,3704.00,3705.00,614,0\r\n2006-02-10,17:46:00,3705.00,3706.00,3705.00,3706.00,582,0\r\n2006-02-10,17:47:00,3706.00,3706.00,3705.00,3706.00,1128,0\r\n2006-02-10,17:48:00,3707.00,3707.00,3705.00,3705.00,1005,0\r\n2006-02-10,17:49:00,3705.00,3707.00,3705.00,3706.00,304,0\r\n2006-02-10,17:50:00,3706.00,3706.00,3704.00,3705.00,620,0\r\n2006-02-10,17:51:00,3705.00,3705.00,3705.00,3705.00,134,0\r\n2006-02-10,17:52:00,3705.00,3706.00,3705.00,3705.00,204,0\r\n2006-02-10,17:53:00,3704.00,3705.00,3703.00,3704.00,271,0\r\n2006-02-10,17:54:00,3704.00,3705.00,3703.00,3705.00,122,0\r\n2006-02-10,17:55:00,3705.00,3707.00,3704.00,3707.00,618,0\r\n2006-02-10,17:56:00,3707.00,3707.00,3706.00,3706.00,398,0\r\n2006-02-10,17:57:00,3706.00,3707.00,3705.00,3705.00,1078,0\r\n2006-02-10,17:58:00,3705.00,3705.00,3705.00,3705.00,178,0\r\n2006-02-10,17:59:00,3704.00,3705.00,3704.00,3704.00,743,0\r\n2006-02-10,18:00:00,3704.00,3704.00,3704.00,3704.00,103,0\r\n2006-02-10,18:01:00,3704.00,3704.00,3702.00,3702.00,951,0\r\n2006-02-10,18:02:00,3702.00,3702.00,3701.00,3702.00,145,0\r\n2006-02-10,18:03:00,3702.00,3703.00,3702.00,3702.00,109,0\r\n2006-02-10,18:04:00,3703.00,3708.00,3703.00,3708.00,1817,0\r\n2006-02-10,18:05:00,3708.00,3708.00,3707.00,3707.00,185,0\r\n2006-02-10,18:06:00,3707.00,3709.00,3707.00,3708.00,320,0\r\n2006-02-10,18:07:00,3707.00,3709.00,3707.00,3709.00,199,0\r\n2006-02-10,18:08:00,3709.00,3712.00,3709.00,3711.00,1974,0\r\n2006-02-10,18:09:00,3711.00,3713.00,3711.00,3711.00,1179,0\r\n2006-02-10,18:10:00,3711.00,3711.00,3711.00,3711.00,310,0\r\n2006-02-10,18:11:00,3711.00,3711.00,3711.00,3711.00,38,0\r\n2006-02-10,18:12:00,3711.00,3711.00,3711.00,3711.00,72,0\r\n2006-02-10,18:13:00,3711.00,3712.00,3711.00,3711.00,413,0\r\n2006-02-10,18:14:00,3711.00,3712.00,3711.00,3711.00,681,0\r\n2006-02-10,18:15:00,3710.00,3712.00,3710.00,3711.00,1176,0\r\n2006-02-10,18:16:00,3711.00,3711.00,3710.00,3710.00,600,0\r\n2006-02-10,18:17:00,3710.00,3710.00,3709.00,3710.00,1117,0\r\n2006-02-10,18:18:00,3710.00,3711.00,3710.00,3710.00,622,0\r\n2006-02-10,18:19:00,3710.00,3712.00,3710.00,3712.00,497,0\r\n2006-02-10,18:20:00,3711.00,3712.00,3710.00,3712.00,317,0\r\n2006-02-10,18:21:00,3711.00,3714.00,3711.00,3714.00,1215,0\r\n2006-02-10,18:22:00,3715.00,3715.00,3713.00,3713.00,449,0\r\n2006-02-10,18:23:00,3713.00,3715.00,3713.00,3715.00,561,0\r\n2006-02-10,18:24:00,3716.00,3716.00,3713.00,3714.00,132,0\r\n2006-02-10,18:25:00,3713.00,3715.00,3713.00,3713.00,293,0\r\n2006-02-10,18:26:00,3713.00,3714.00,3713.00,3713.00,193,0\r\n2006-02-10,18:27:00,3713.00,3714.00,3712.00,3713.00,592,0\r\n2006-02-10,18:28:00,3713.00,3713.00,3710.00,3710.00,445,0\r\n2006-02-10,18:29:00,3710.00,3711.00,3710.00,3710.00,342,0\r\n2006-02-10,18:30:00,3710.00,3711.00,3710.00,3710.00,64,0\r\n2006-02-10,18:31:00,3710.00,3711.00,3710.00,3710.00,245,0\r\n2006-02-10,18:32:00,3709.00,3710.00,3709.00,3710.00,47,0\r\n2006-02-10,18:33:00,3710.00,3713.00,3710.00,3712.00,300,0\r\n2006-02-10,18:34:00,3711.00,3712.00,3711.00,3712.00,353,0\r\n2006-02-10,18:35:00,3712.00,3712.00,3710.00,3710.00,193,0\r\n2006-02-10,18:36:00,3710.00,3710.00,3710.00,3710.00,197,0\r\n2006-02-10,18:37:00,3710.00,3710.00,3709.00,3709.00,112,0\r\n2006-02-10,18:38:00,3710.00,3711.00,3709.00,3710.00,848,0\r\n2006-02-10,18:39:00,3711.00,3712.00,3711.00,3711.00,297,0\r\n2006-02-10,18:40:00,3710.00,3711.00,3710.00,3710.00,106,0\r\n2006-02-10,18:41:00,3710.00,3711.00,3709.00,3710.00,1036,0\r\n2006-02-10,18:42:00,3710.00,3711.00,3710.00,3710.00,20,0\r\n2006-02-10,18:43:00,3710.00,3710.00,3710.00,3710.00,12,0\r\n2006-02-10,18:44:00,3710.00,3711.00,3708.00,3710.00,307,0\r\n2006-02-10,18:45:00,3711.00,3712.00,3710.00,3711.00,165,0\r\n2006-02-10,18:46:00,3711.00,3711.00,3710.00,3710.00,164,0\r\n2006-02-10,18:47:00,3710.00,3710.00,3708.00,3708.00,369,0\r\n2006-02-10,18:48:00,3708.00,3708.00,3708.00,3708.00,67,0\r\n2006-02-10,18:49:00,3708.00,3709.00,3708.00,3709.00,13,0\r\n2006-02-10,18:50:00,3709.00,3709.00,3706.00,3707.00,536,0\r\n2006-02-10,18:51:00,3707.00,3709.00,3707.00,3709.00,334,0\r\n2006-02-10,18:52:00,3709.00,3709.00,3709.00,3709.00,35,0\r\n2006-02-10,18:53:00,3708.00,3708.00,3708.00,3708.00,12,0\r\n2006-02-10,18:54:00,3707.00,3707.00,3707.00,3707.00,49,0\r\n2006-02-10,18:56:00,3708.00,3708.00,3707.00,3707.00,312,0\r\n2006-02-10,18:57:00,3707.00,3708.00,3707.00,3707.00,149,0\r\n2006-02-10,18:58:00,3707.00,3707.00,3707.00,3707.00,226,0\r\n2006-02-10,18:59:00,3708.00,3709.00,3708.00,3709.00,74,0\r\n2006-02-10,19:00:00,3708.00,3708.00,3708.00,3708.00,56,0\r\n2006-02-10,19:01:00,3708.00,3708.00,3707.00,3708.00,46,0\r\n2006-02-10,19:02:00,3708.00,3708.00,3708.00,3708.00,151,0\r\n2006-02-10,19:03:00,3708.00,3709.00,3708.00,3709.00,40,0\r\n2006-02-10,19:04:00,3708.00,3709.00,3708.00,3709.00,31,0\r\n2006-02-10,19:05:00,3709.00,3709.00,3709.00,3709.00,30,0\r\n2006-02-10,19:06:00,3708.00,3708.00,3708.00,3708.00,244,0\r\n2006-02-10,19:07:00,3708.00,3709.00,3708.00,3708.00,201,0\r\n2006-02-10,19:08:00,3707.00,3708.00,3707.00,3708.00,136,0\r\n2006-02-10,19:09:00,3708.00,3708.00,3708.00,3708.00,4,0\r\n2006-02-10,19:10:00,3709.00,3709.00,3709.00,3709.00,208,0\r\n2006-02-10,19:11:00,3709.00,3710.00,3709.00,3710.00,264,0\r\n2006-02-10,19:12:00,3710.00,3712.00,3710.00,3712.00,194,0\r\n2006-02-10,19:13:00,3712.00,3714.00,3712.00,3713.00,568,0\r\n2006-02-10,19:14:00,3713.00,3714.00,3713.00,3714.00,220,0\r\n2006-02-10,19:15:00,3715.00,3715.00,3715.00,3715.00,694,0\r\n2006-02-10,19:16:00,3715.00,3715.00,3714.00,3715.00,205,0\r\n2006-02-10,19:17:00,3714.00,3714.00,3714.00,3714.00,144,0\r\n2006-02-10,19:18:00,3714.00,3714.00,3713.00,3714.00,134,0\r\n2006-02-10,19:19:00,3714.00,3714.00,3713.00,3713.00,175,0\r\n2006-02-10,19:20:00,3713.00,3713.00,3712.00,3712.00,160,0\r\n2006-02-10,19:21:00,3712.00,3712.00,3712.00,3712.00,17,0\r\n2006-02-10,19:22:00,3712.00,3712.00,3712.00,3712.00,33,0\r\n2006-02-10,19:23:00,3712.00,3712.00,3712.00,3712.00,69,0\r\n2006-02-10,19:24:00,3711.00,3712.00,3710.00,3710.00,275,0\r\n2006-02-10,19:25:00,3710.00,3710.00,3710.00,3710.00,62,0\r\n2006-02-10,19:26:00,3710.00,3710.00,3707.00,3708.00,294,0\r\n2006-02-10,19:27:00,3708.00,3708.00,3708.00,3708.00,17,0\r\n2006-02-10,19:28:00,3708.00,3708.00,3707.00,3707.00,94,0\r\n2006-02-10,19:29:00,3707.00,3708.00,3707.00,3708.00,104,0\r\n2006-02-10,19:30:00,3708.00,3708.00,3707.00,3707.00,6,0\r\n2006-02-10,19:31:00,3708.00,3710.00,3708.00,3709.00,337,0\r\n2006-02-10,19:32:00,3710.00,3710.00,3709.00,3709.00,51,0\r\n2006-02-10,19:33:00,3710.00,3712.00,3710.00,3712.00,80,0\r\n2006-02-10,19:34:00,3712.00,3712.00,3711.00,3711.00,55,0\r\n2006-02-10,19:35:00,3712.00,3712.00,3711.00,3711.00,220,0\r\n2006-02-10,19:36:00,3711.00,3711.00,3709.00,3709.00,107,0\r\n2006-02-10,19:37:00,3710.00,3710.00,3710.00,3710.00,150,0\r\n2006-02-10,19:38:00,3711.00,3711.00,3710.00,3710.00,94,0\r\n2006-02-10,19:39:00,3711.00,3711.00,3711.00,3711.00,1,0\r\n2006-02-10,19:40:00,3711.00,3712.00,3711.00,3712.00,101,0\r\n2006-02-10,19:41:00,3711.00,3711.00,3709.00,3709.00,168,0\r\n2006-02-10,19:42:00,3709.00,3709.00,3709.00,3709.00,6,0\r\n2006-02-10,19:43:00,3710.00,3710.00,3710.00,3710.00,93,0\r\n2006-02-10,19:44:00,3710.00,3710.00,3709.00,3709.00,40,0\r\n2006-02-10,19:45:00,3711.00,3711.00,3710.00,3710.00,251,0\r\n2006-02-10,19:46:00,3711.00,3711.00,3710.00,3710.00,109,0\r\n2006-02-10,19:47:00,3709.00,3709.00,3708.00,3708.00,31,0\r\n2006-02-10,19:50:00,3709.00,3709.00,3709.00,3709.00,1,0\r\n2006-02-10,19:51:00,3710.00,3711.00,3710.00,3711.00,27,0\r\n2006-02-10,19:52:00,3711.00,3711.00,3710.00,3710.00,163,0\r\n2006-02-10,19:53:00,3711.00,3711.00,3710.00,3711.00,17,0\r\n2006-02-10,19:54:00,3712.00,3712.00,3709.00,3709.00,104,0\r\n2006-02-10,19:55:00,3709.00,3710.00,3709.00,3710.00,23,0\r\n2006-02-10,19:56:00,3711.00,3711.00,3711.00,3711.00,87,0\r\n2006-02-10,19:57:00,3710.00,3711.00,3710.00,3711.00,13,0\r\n2006-02-10,19:58:00,3710.00,3712.00,3710.00,3711.00,103,0\r\n2006-02-10,19:59:00,3711.00,3711.00,3710.00,3711.00,83,0\r\n2006-02-10,20:00:00,3711.00,3712.00,3711.00,3712.00,84,0\r\n2006-02-10,20:01:00,3712.00,3713.00,3712.00,3713.00,412,0\r\n2006-02-10,20:02:00,3712.00,3712.00,3712.00,3712.00,5,0\r\n2006-02-10,20:03:00,3712.00,3713.00,3712.00,3712.00,50,0\r\n2006-02-10,20:04:00,3712.00,3712.00,3712.00,3712.00,13,0\r\n2006-02-10,20:05:00,3713.00,3713.00,3712.00,3713.00,9,0\r\n2006-02-10,20:06:00,3713.00,3714.00,3713.00,3714.00,120,0\r\n2006-02-10,20:07:00,3714.00,3717.00,3714.00,3717.00,907,0\r\n2006-02-10,20:08:00,3717.00,3722.00,3717.00,3722.00,1872,0\r\n2006-02-10,20:09:00,3721.00,3723.00,3721.00,3723.00,575,0\r\n2006-02-10,20:10:00,3722.00,3722.00,3721.00,3721.00,90,0\r\n2006-02-10,20:11:00,3721.00,3723.00,3721.00,3723.00,192,0\r\n2006-02-10,20:12:00,3722.00,3722.00,3721.00,3721.00,79,0\r\n2006-02-10,20:13:00,3721.00,3721.00,3721.00,3721.00,39,0\r\n2006-02-10,20:14:00,3721.00,3721.00,3719.00,3719.00,174,0\r\n2006-02-10,20:15:00,3719.00,3720.00,3719.00,3719.00,69,0\r\n2006-02-10,20:16:00,3718.00,3718.00,3718.00,3718.00,380,0\r\n2006-02-10,20:17:00,3718.00,3719.00,3718.00,3719.00,23,0\r\n2006-02-10,20:18:00,3719.00,3720.00,3719.00,3719.00,39,0\r\n2006-02-10,20:19:00,3719.00,3720.00,3719.00,3720.00,167,0\r\n2006-02-10,20:20:00,3720.00,3721.00,3719.00,3721.00,26,0\r\n2006-02-10,20:21:00,3720.00,3720.00,3719.00,3719.00,11,0\r\n2006-02-10,20:22:00,3718.00,3718.00,3718.00,3718.00,13,0\r\n2006-02-10,20:23:00,3718.00,3719.00,3718.00,3719.00,67,0\r\n2006-02-10,20:24:00,3719.00,3719.00,3719.00,3719.00,11,0\r\n2006-02-10,20:25:00,3719.00,3719.00,3719.00,3719.00,8,0\r\n2006-02-10,20:26:00,3719.00,3721.00,3719.00,3721.00,17,0\r\n2006-02-10,20:27:00,3721.00,3721.00,3720.00,3721.00,27,0\r\n2006-02-10,20:28:00,3721.00,3721.00,3721.00,3721.00,8,0\r\n2006-02-10,20:29:00,3721.00,3725.00,3721.00,3722.00,590,0\r\n2006-02-10,20:30:00,3721.00,3722.00,3721.00,3722.00,13,0\r\n2006-02-10,20:31:00,3721.00,3721.00,3721.00,3721.00,94,0\r\n2006-02-10,20:33:00,3721.00,3722.00,3721.00,3722.00,7,0\r\n2006-02-10,20:34:00,3722.00,3722.00,3722.00,3722.00,6,0\r\n2006-02-10,20:35:00,3722.00,3722.00,3722.00,3722.00,17,0\r\n2006-02-10,20:36:00,3723.00,3723.00,3720.00,3721.00,320,0\r\n2006-02-10,20:37:00,3722.00,3723.00,3722.00,3723.00,59,0\r\n2006-02-10,20:38:00,3723.00,3723.00,3723.00,3723.00,64,0\r\n2006-02-10,20:39:00,3723.00,3724.00,3723.00,3724.00,108,0\r\n2006-02-10,20:40:00,3725.00,3725.00,3724.00,3725.00,45,0\r\n2006-02-10,20:41:00,3725.00,3725.00,3724.00,3724.00,87,0\r\n2006-02-10,20:42:00,3724.00,3724.00,3724.00,3724.00,6,0\r\n2006-02-10,20:43:00,3723.00,3723.00,3723.00,3723.00,2,0\r\n2006-02-10,20:44:00,3724.00,3724.00,3723.00,3723.00,8,0\r\n2006-02-10,20:45:00,3723.00,3725.00,3723.00,3724.00,25,0\r\n2006-02-10,20:46:00,3724.00,3724.00,3724.00,3724.00,6,0\r\n2006-02-10,20:47:00,3724.00,3725.00,3724.00,3725.00,6,0\r\n2006-02-10,20:48:00,3724.00,3724.00,3724.00,3724.00,1,0\r\n2006-02-10,20:50:00,3724.00,3724.00,3724.00,3724.00,12,0\r\n2006-02-10,20:51:00,3725.00,3726.00,3725.00,3726.00,1246,0\r\n2006-02-10,20:52:00,3726.00,3727.00,3726.00,3727.00,16,0\r\n2006-02-10,20:53:00,3726.00,3727.00,3726.00,3726.00,33,0\r\n2006-02-10,20:54:00,3727.00,3727.00,3727.00,3727.00,57,0\r\n2006-02-10,20:55:00,3727.00,3734.00,3727.00,3732.00,2267,0\r\n2006-02-10,20:56:00,3732.00,3732.00,3730.00,3731.00,220,0\r\n2006-02-10,20:57:00,3732.00,3734.00,3729.00,3729.00,731,0\r\n2006-02-10,20:58:00,3729.00,3729.00,3729.00,3729.00,18,0\r\n2006-02-10,20:59:00,3728.00,3729.00,3728.00,3729.00,17,0\r\n2006-02-10,21:00:00,3730.00,3730.00,3728.00,3728.00,223,0\r\n2006-02-10,21:01:00,3728.00,3728.00,3728.00,3728.00,18,0\r\n2006-02-10,21:02:00,3729.00,3732.00,3729.00,3732.00,67,0\r\n2006-02-10,21:03:00,3732.00,3733.00,3732.00,3732.00,290,0\r\n2006-02-10,21:04:00,3731.00,3731.00,3731.00,3731.00,5,0\r\n2006-02-10,21:05:00,3731.00,3731.00,3730.00,3731.00,26,0\r\n2006-02-10,21:06:00,3730.00,3731.00,3730.00,3731.00,312,0\r\n2006-02-10,21:07:00,3732.00,3732.00,3731.00,3731.00,215,0\r\n2006-02-10,21:08:00,3731.00,3732.00,3731.00,3732.00,25,0\r\n2006-02-10,21:09:00,3733.00,3734.00,3732.00,3734.00,84,0\r\n2006-02-10,21:10:00,3734.00,3735.00,3733.00,3735.00,11,0\r\n2006-02-10,21:11:00,3734.00,3734.00,3734.00,3734.00,5,0\r\n2006-02-10,21:12:00,3734.00,3734.00,3734.00,3734.00,27,0\r\n2006-02-10,21:13:00,3735.00,3735.00,3733.00,3734.00,27,0\r\n2006-02-10,21:14:00,3734.00,3734.00,3733.00,3733.00,18,0\r\n2006-02-10,21:15:00,3733.00,3736.00,3733.00,3736.00,566,0\r\n2006-02-10,21:16:00,3736.00,3736.00,3735.00,3735.00,26,0\r\n2006-02-10,21:17:00,3735.00,3736.00,3735.00,3736.00,193,0\r\n2006-02-10,21:18:00,3737.00,3738.00,3737.00,3738.00,352,0\r\n2006-02-10,21:19:00,3738.00,3738.00,3735.00,3735.00,399,0\r\n2006-02-10,21:20:00,3734.00,3734.00,3733.00,3734.00,103,0\r\n2006-02-10,21:21:00,3733.00,3733.00,3733.00,3733.00,53,0\r\n2006-02-10,21:22:00,3734.00,3735.00,3734.00,3734.00,22,0\r\n2006-02-10,21:23:00,3735.00,3735.00,3735.00,3735.00,29,0\r\n2006-02-10,21:24:00,3736.00,3736.00,3735.00,3735.00,41,0\r\n2006-02-10,21:25:00,3735.00,3736.00,3735.00,3735.00,80,0\r\n2006-02-10,21:26:00,3736.00,3736.00,3735.00,3736.00,59,0\r\n2006-02-10,21:27:00,3735.00,3735.00,3734.00,3735.00,24,0\r\n2006-02-10,21:28:00,3735.00,3735.00,3734.00,3735.00,6,0\r\n2006-02-10,21:29:00,3734.00,3734.00,3733.00,3733.00,24,0\r\n2006-02-10,21:30:00,3733.00,3733.00,3731.00,3731.00,71,0\r\n2006-02-10,21:31:00,3731.00,3731.00,3730.00,3730.00,93,0\r\n2006-02-10,21:32:00,3731.00,3731.00,3729.00,3731.00,30,0\r\n2006-02-10,21:33:00,3731.00,3733.00,3731.00,3733.00,68,0\r\n2006-02-10,21:34:00,3733.00,3734.00,3733.00,3734.00,35,0\r\n2006-02-10,21:35:00,3733.00,3733.00,3733.00,3733.00,56,0\r\n2006-02-10,21:36:00,3732.00,3733.00,3732.00,3732.00,55,0\r\n2006-02-10,21:37:00,3732.00,3732.00,3730.00,3731.00,231,0\r\n2006-02-10,21:38:00,3730.00,3730.00,3729.00,3729.00,109,0\r\n2006-02-10,21:39:00,3729.00,3729.00,3729.00,3729.00,38,0\r\n2006-02-10,21:40:00,3729.00,3729.00,3729.00,3729.00,6,0\r\n2006-02-10,21:41:00,3728.00,3729.00,3728.00,3729.00,47,0\r\n2006-02-10,21:42:00,3729.00,3729.00,3729.00,3729.00,5,0\r\n2006-02-10,21:43:00,3730.00,3730.00,3729.00,3729.00,42,0\r\n2006-02-10,21:44:00,3730.00,3730.00,3730.00,3730.00,1,0\r\n2006-02-10,21:45:00,3730.00,3730.00,3729.00,3729.00,29,0\r\n2006-02-10,21:46:00,3729.00,3730.00,3729.00,3730.00,39,0\r\n2006-02-10,21:47:00,3729.00,3729.00,3729.00,3729.00,37,0\r\n2006-02-10,21:48:00,3729.00,3729.00,3729.00,3729.00,5,0\r\n2006-02-10,21:49:00,3729.00,3729.00,3728.00,3728.00,57,0\r\n2006-02-10,21:50:00,3728.00,3728.00,3727.00,3727.00,2,0\r\n2006-02-10,21:51:00,3727.00,3728.00,3727.00,3728.00,16,0\r\n2006-02-10,21:52:00,3728.00,3729.00,3728.00,3728.00,7,0\r\n2006-02-10,21:53:00,3728.00,3729.00,3728.00,3728.00,26,0\r\n2006-02-10,21:54:00,3728.00,3729.00,3728.00,3729.00,13,0\r\n2006-02-10,21:55:00,3729.00,3729.00,3728.00,3728.00,107,0\r\n2006-02-10,21:56:00,3729.00,3729.00,3727.00,3729.00,125,0\r\n2006-02-10,21:57:00,3727.00,3728.00,3726.00,3726.00,221,0\r\n2006-02-10,21:58:00,3727.00,3727.00,3725.00,3726.00,406,0\r\n2006-02-10,21:59:00,3727.00,3728.00,3726.00,3726.00,255,0\r\n2006-02-10,22:00:00,3727.00,3729.00,3726.00,3729.00,208,0\r\n2006-02-13,09:01:00,3702.00,3707.00,3700.00,3706.00,6262,0\r\n2006-02-13,09:02:00,3705.00,3705.00,3697.00,3698.00,6021,0\r\n2006-02-13,09:03:00,3698.00,3698.00,3694.00,3696.00,4806,0\r\n2006-02-13,09:04:00,3697.00,3699.00,3697.00,3697.00,2689,0\r\n2006-02-13,09:05:00,3698.00,3699.00,3697.00,3699.00,851,0\r\n2006-02-13,09:06:00,3699.00,3704.00,3699.00,3703.00,4200,0\r\n2006-02-13,09:07:00,3703.00,3709.00,3703.00,3708.00,4043,0\r\n2006-02-13,09:08:00,3708.00,3710.00,3707.00,3709.00,3135,0\r\n2006-02-13,09:09:00,3709.00,3709.00,3706.00,3707.00,1479,0\r\n2006-02-13,09:10:00,3707.00,3713.00,3707.00,3711.00,4633,0\r\n2006-02-13,09:11:00,3711.00,3712.00,3709.00,3710.00,1368,0\r\n2006-02-13,09:12:00,3710.00,3710.00,3709.00,3709.00,550,0\r\n2006-02-13,09:13:00,3708.00,3708.00,3707.00,3707.00,1411,0\r\n2006-02-13,09:14:00,3707.00,3707.00,3701.00,3702.00,4018,0\r\n2006-02-13,09:15:00,3702.00,3704.00,3702.00,3703.00,1452,0\r\n2006-02-13,09:16:00,3702.00,3704.00,3701.00,3704.00,1176,0\r\n2006-02-13,09:17:00,3704.00,3705.00,3703.00,3703.00,1159,0\r\n2006-02-13,09:18:00,3704.00,3704.00,3702.00,3703.00,502,0\r\n2006-02-13,09:19:00,3703.00,3705.00,3702.00,3705.00,718,0\r\n2006-02-13,09:20:00,3705.00,3705.00,3703.00,3703.00,487,0\r\n2006-02-13,09:21:00,3703.00,3703.00,3696.00,3697.00,4562,0\r\n2006-02-13,09:22:00,3697.00,3698.00,3695.00,3696.00,1797,0\r\n2006-02-13,09:23:00,3695.00,3696.00,3693.00,3696.00,3112,0\r\n2006-02-13,09:24:00,3696.00,3696.00,3692.00,3692.00,2633,0\r\n2006-02-13,09:25:00,3693.00,3693.00,3691.00,3693.00,2172,0\r\n2006-02-13,09:26:00,3693.00,3695.00,3692.00,3695.00,1497,0\r\n2006-02-13,09:27:00,3695.00,3696.00,3695.00,3695.00,469,0\r\n2006-02-13,09:28:00,3695.00,3697.00,3695.00,3696.00,254,0\r\n2006-02-13,09:29:00,3697.00,3697.00,3693.00,3694.00,1247,0\r\n2006-02-13,09:30:00,3694.00,3698.00,3694.00,3697.00,530,0\r\n2006-02-13,09:31:00,3698.00,3698.00,3696.00,3697.00,898,0\r\n2006-02-13,09:32:00,3696.00,3696.00,3694.00,3695.00,1085,0\r\n2006-02-13,09:33:00,3695.00,3702.00,3695.00,3701.00,3381,0\r\n2006-02-13,09:34:00,3701.00,3702.00,3700.00,3700.00,1261,0\r\n2006-02-13,09:35:00,3700.00,3701.00,3699.00,3700.00,470,0\r\n2006-02-13,09:36:00,3700.00,3701.00,3699.00,3701.00,698,0\r\n2006-02-13,09:37:00,3700.00,3704.00,3700.00,3704.00,1284,0\r\n2006-02-13,09:38:00,3704.00,3706.00,3704.00,3704.00,1330,0\r\n2006-02-13,09:39:00,3704.00,3704.00,3702.00,3703.00,695,0\r\n2006-02-13,09:40:00,3702.00,3702.00,3700.00,3701.00,844,0\r\n2006-02-13,09:41:00,3701.00,3702.00,3700.00,3700.00,575,0\r\n2006-02-13,09:42:00,3700.00,3701.00,3699.00,3701.00,499,0\r\n2006-02-13,09:43:00,3701.00,3703.00,3701.00,3702.00,1472,0\r\n2006-02-13,09:44:00,3702.00,3703.00,3701.00,3702.00,201,0\r\n2006-02-13,09:45:00,3701.00,3701.00,3698.00,3698.00,1754,0\r\n2006-02-13,09:46:00,3698.00,3700.00,3698.00,3699.00,229,0\r\n2006-02-13,09:47:00,3698.00,3698.00,3696.00,3696.00,553,0\r\n2006-02-13,09:48:00,3696.00,3696.00,3694.00,3694.00,932,0\r\n2006-02-13,09:49:00,3694.00,3696.00,3694.00,3696.00,525,0\r\n2006-02-13,09:50:00,3696.00,3697.00,3695.00,3696.00,389,0\r\n2006-02-13,09:51:00,3697.00,3699.00,3696.00,3698.00,1358,0\r\n2006-02-13,09:52:00,3698.00,3701.00,3698.00,3701.00,1395,0\r\n2006-02-13,09:53:00,3701.00,3701.00,3698.00,3698.00,698,0\r\n2006-02-13,09:54:00,3699.00,3699.00,3697.00,3698.00,298,0\r\n2006-02-13,09:55:00,3699.00,3701.00,3699.00,3701.00,225,0\r\n2006-02-13,09:56:00,3701.00,3703.00,3701.00,3702.00,1364,0\r\n2006-02-13,09:57:00,3702.00,3702.00,3701.00,3701.00,6270,0\r\n2006-02-13,09:58:00,3701.00,3701.00,3700.00,3700.00,399,0\r\n2006-02-13,09:59:00,3700.00,3700.00,3697.00,3698.00,1191,0\r\n2006-02-13,10:00:00,3697.00,3699.00,3697.00,3699.00,340,0\r\n2006-02-13,10:01:00,3699.00,3700.00,3698.00,3700.00,218,0\r\n2006-02-13,10:02:00,3699.00,3701.00,3699.00,3701.00,514,0\r\n2006-02-13,10:03:00,3701.00,3703.00,3701.00,3701.00,511,0\r\n2006-02-13,10:04:00,3702.00,3702.00,3698.00,3698.00,503,0\r\n2006-02-13,10:05:00,3699.00,3699.00,3697.00,3697.00,850,0\r\n2006-02-13,10:06:00,3696.00,3698.00,3696.00,3697.00,468,0\r\n2006-02-13,10:07:00,3697.00,3699.00,3697.00,3698.00,212,0\r\n2006-02-13,10:08:00,3698.00,3699.00,3698.00,3699.00,586,0\r\n2006-02-13,10:09:00,3698.00,3699.00,3698.00,3699.00,126,0\r\n2006-02-13,10:10:00,3699.00,3699.00,3696.00,3696.00,808,0\r\n2006-02-13,10:11:00,3697.00,3698.00,3696.00,3697.00,635,0\r\n2006-02-13,10:12:00,3698.00,3699.00,3697.00,3699.00,251,0\r\n2006-02-13,10:13:00,3698.00,3698.00,3694.00,3695.00,1695,0\r\n2006-02-13,10:14:00,3695.00,3695.00,3693.00,3694.00,1025,0\r\n2006-02-13,10:15:00,3694.00,3694.00,3694.00,3694.00,183,0\r\n2006-02-13,10:16:00,3693.00,3696.00,3693.00,3695.00,764,0\r\n2006-02-13,10:17:00,3696.00,3697.00,3694.00,3695.00,635,0\r\n2006-02-13,10:18:00,3695.00,3695.00,3695.00,3695.00,38,0\r\n2006-02-13,10:19:00,3694.00,3694.00,3693.00,3694.00,233,0\r\n2006-02-13,10:20:00,3694.00,3696.00,3693.00,3695.00,911,0\r\n2006-02-13,10:21:00,3695.00,3699.00,3695.00,3698.00,1444,0\r\n2006-02-13,10:22:00,3698.00,3698.00,3697.00,3698.00,547,0\r\n2006-02-13,10:23:00,3697.00,3697.00,3695.00,3695.00,494,0\r\n2006-02-13,10:24:00,3695.00,3695.00,3694.00,3694.00,122,0\r\n2006-02-13,10:25:00,3695.00,3696.00,3694.00,3694.00,674,0\r\n2006-02-13,10:26:00,3695.00,3696.00,3695.00,3696.00,492,0\r\n2006-02-13,10:27:00,3696.00,3697.00,3696.00,3697.00,629,0\r\n2006-02-13,10:28:00,3697.00,3698.00,3697.00,3698.00,1851,0\r\n2006-02-13,10:29:00,3697.00,3699.00,3697.00,3698.00,420,0\r\n2006-02-13,10:30:00,3698.00,3698.00,3697.00,3698.00,117,0\r\n2006-02-13,10:31:00,3698.00,3699.00,3697.00,3698.00,581,0\r\n2006-02-13,10:32:00,3698.00,3699.00,3698.00,3698.00,764,0\r\n2006-02-13,10:33:00,3698.00,3698.00,3696.00,3696.00,611,0\r\n2006-02-13,10:34:00,3695.00,3696.00,3695.00,3695.00,556,0\r\n2006-02-13,10:35:00,3695.00,3696.00,3694.00,3694.00,184,0\r\n2006-02-13,10:36:00,3694.00,3696.00,3694.00,3696.00,3741,0\r\n2006-02-13,10:37:00,3696.00,3697.00,3696.00,3697.00,145,0\r\n2006-02-13,10:38:00,3697.00,3697.00,3696.00,3697.00,32,0\r\n2006-02-13,10:39:00,3697.00,3697.00,3697.00,3697.00,274,0\r\n2006-02-13,10:40:00,3698.00,3698.00,3697.00,3697.00,219,0\r\n2006-02-13,10:41:00,3697.00,3698.00,3697.00,3698.00,366,0\r\n2006-02-13,10:42:00,3698.00,3699.00,3698.00,3699.00,6,0\r\n2006-02-13,10:43:00,3698.00,3702.00,3698.00,3701.00,2106,0\r\n2006-02-13,10:44:00,3701.00,3701.00,3700.00,3700.00,600,0\r\n2006-02-13,10:45:00,3701.00,3701.00,3699.00,3700.00,545,0\r\n2006-02-13,10:46:00,3700.00,3700.00,3699.00,3699.00,153,0\r\n2006-02-13,10:47:00,3699.00,3699.00,3699.00,3699.00,116,0\r\n2006-02-13,10:48:00,3699.00,3700.00,3699.00,3699.00,29,0\r\n2006-02-13,10:49:00,3699.00,3700.00,3699.00,3699.00,213,0\r\n2006-02-13,10:50:00,3700.00,3701.00,3700.00,3701.00,605,0\r\n2006-02-13,10:51:00,3702.00,3705.00,3702.00,3704.00,1499,0\r\n2006-02-13,10:52:00,3704.00,3705.00,3703.00,3703.00,1448,0\r\n2006-02-13,10:53:00,3704.00,3704.00,3703.00,3703.00,10,0\r\n2006-02-13,10:54:00,3703.00,3704.00,3703.00,3704.00,263,0\r\n2006-02-13,10:55:00,3703.00,3704.00,3703.00,3703.00,277,0\r\n2006-02-13,10:56:00,3703.00,3703.00,3703.00,3703.00,193,0\r\n2006-02-13,10:57:00,3704.00,3704.00,3703.00,3703.00,181,0\r\n2006-02-13,10:58:00,3704.00,3704.00,3701.00,3702.00,385,0\r\n2006-02-13,10:59:00,3703.00,3704.00,3703.00,3703.00,307,0\r\n2006-02-13,11:00:00,3703.00,3703.00,3703.00,3703.00,212,0\r\n2006-02-13,11:01:00,3703.00,3708.00,3703.00,3708.00,3965,0\r\n2006-02-13,11:02:00,3708.00,3709.00,3707.00,3708.00,1626,0\r\n2006-02-13,11:03:00,3708.00,3709.00,3708.00,3708.00,855,0\r\n2006-02-13,11:04:00,3709.00,3711.00,3709.00,3710.00,1647,0\r\n2006-02-13,11:05:00,3710.00,3712.00,3709.00,3710.00,1738,0\r\n2006-02-13,11:06:00,3710.00,3711.00,3709.00,3710.00,798,0\r\n2006-02-13,11:07:00,3710.00,3711.00,3709.00,3711.00,1093,0\r\n2006-02-13,11:08:00,3711.00,3712.00,3710.00,3710.00,4756,0\r\n2006-02-13,11:09:00,3710.00,3710.00,3709.00,3710.00,322,0\r\n2006-02-13,11:10:00,3709.00,3710.00,3708.00,3709.00,740,0\r\n2006-02-13,11:11:00,3709.00,3711.00,3709.00,3711.00,941,0\r\n2006-02-13,11:12:00,3710.00,3710.00,3710.00,3710.00,44,0\r\n2006-02-13,11:13:00,3710.00,3711.00,3710.00,3711.00,117,0\r\n2006-02-13,11:14:00,3711.00,3711.00,3709.00,3710.00,351,0\r\n2006-02-13,11:15:00,3709.00,3710.00,3707.00,3708.00,811,0\r\n2006-02-13,11:16:00,3708.00,3709.00,3707.00,3708.00,540,0\r\n2006-02-13,11:17:00,3707.00,3708.00,3706.00,3707.00,194,0\r\n2006-02-13,11:18:00,3707.00,3708.00,3706.00,3707.00,741,0\r\n2006-02-13,11:19:00,3707.00,3707.00,3707.00,3707.00,126,0\r\n2006-02-13,11:20:00,3707.00,3709.00,3707.00,3709.00,179,0\r\n2006-02-13,11:21:00,3708.00,3709.00,3708.00,3709.00,63,0\r\n2006-02-13,11:22:00,3709.00,3709.00,3709.00,3709.00,1020,0\r\n2006-02-13,11:23:00,3708.00,3708.00,3707.00,3708.00,225,0\r\n2006-02-13,11:24:00,3707.00,3708.00,3707.00,3707.00,66,0\r\n2006-02-13,11:25:00,3707.00,3708.00,3706.00,3706.00,473,0\r\n2006-02-13,11:26:00,3707.00,3708.00,3706.00,3706.00,660,0\r\n2006-02-13,11:27:00,3707.00,3707.00,3707.00,3707.00,104,0\r\n2006-02-13,11:28:00,3707.00,3709.00,3707.00,3709.00,178,0\r\n2006-02-13,11:29:00,3709.00,3709.00,3708.00,3708.00,176,0\r\n2006-02-13,11:30:00,3709.00,3710.00,3709.00,3710.00,307,0\r\n2006-02-13,11:31:00,3710.00,3711.00,3709.00,3709.00,713,0\r\n2006-02-13,11:32:00,3709.00,3710.00,3708.00,3709.00,3114,0\r\n2006-02-13,11:33:00,3709.00,3710.00,3709.00,3709.00,29,0\r\n2006-02-13,11:34:00,3710.00,3711.00,3710.00,3711.00,2515,0\r\n2006-02-13,11:35:00,3710.00,3710.00,3710.00,3710.00,118,0\r\n2006-02-13,11:36:00,3710.00,3711.00,3710.00,3710.00,181,0\r\n2006-02-13,11:37:00,3709.00,3711.00,3709.00,3710.00,2215,0\r\n2006-02-13,11:38:00,3710.00,3711.00,3710.00,3710.00,76,0\r\n2006-02-13,11:39:00,3711.00,3711.00,3711.00,3711.00,81,0\r\n2006-02-13,11:40:00,3711.00,3711.00,3711.00,3711.00,8,0\r\n2006-02-13,11:41:00,3710.00,3711.00,3710.00,3711.00,512,0\r\n2006-02-13,11:42:00,3711.00,3711.00,3710.00,3710.00,63,0\r\n2006-02-13,11:43:00,3710.00,3711.00,3710.00,3711.00,16,0\r\n2006-02-13,11:44:00,3711.00,3712.00,3710.00,3710.00,886,0\r\n2006-02-13,11:45:00,3709.00,3709.00,3708.00,3709.00,188,0\r\n2006-02-13,11:46:00,3709.00,3709.00,3708.00,3708.00,400,0\r\n2006-02-13,11:47:00,3708.00,3708.00,3708.00,3708.00,25,0\r\n2006-02-13,11:48:00,3709.00,3709.00,3708.00,3708.00,43,0\r\n2006-02-13,11:49:00,3708.00,3708.00,3708.00,3708.00,2,0\r\n2006-02-13,11:50:00,3708.00,3709.00,3708.00,3709.00,64,0\r\n2006-02-13,11:51:00,3708.00,3708.00,3706.00,3707.00,1186,0\r\n2006-02-13,11:52:00,3707.00,3707.00,3706.00,3707.00,1554,0\r\n2006-02-13,11:53:00,3707.00,3707.00,3705.00,3705.00,770,0\r\n2006-02-13,11:54:00,3706.00,3707.00,3706.00,3707.00,80,0\r\n2006-02-13,11:55:00,3706.00,3707.00,3706.00,3707.00,38,0\r\n2006-02-13,11:56:00,3706.00,3706.00,3704.00,3705.00,1091,0\r\n2006-02-13,11:57:00,3705.00,3705.00,3705.00,3705.00,13,0\r\n2006-02-13,11:58:00,3705.00,3706.00,3705.00,3706.00,47,0\r\n2006-02-13,11:59:00,3705.00,3706.00,3705.00,3705.00,84,0\r\n2006-02-13,12:00:00,3706.00,3706.00,3705.00,3706.00,22,0\r\n2006-02-13,12:01:00,3705.00,3706.00,3705.00,3706.00,118,0\r\n2006-02-13,12:02:00,3705.00,3706.00,3705.00,3705.00,54,0\r\n2006-02-13,12:03:00,3706.00,3706.00,3705.00,3706.00,103,0\r\n2006-02-13,12:04:00,3706.00,3706.00,3706.00,3706.00,108,0\r\n2006-02-13,12:06:00,3705.00,3707.00,3705.00,3707.00,227,0\r\n2006-02-13,12:07:00,3707.00,3707.00,3707.00,3707.00,2,0\r\n2006-02-13,12:08:00,3706.00,3708.00,3706.00,3707.00,371,0\r\n2006-02-13,12:09:00,3707.00,3708.00,3707.00,3707.00,295,0\r\n2006-02-13,12:10:00,3707.00,3708.00,3707.00,3708.00,90,0\r\n2006-02-13,12:11:00,3708.00,3708.00,3707.00,3707.00,29,0\r\n2006-02-13,12:13:00,3708.00,3708.00,3707.00,3707.00,416,0\r\n2006-02-13,12:14:00,3707.00,3707.00,3707.00,3707.00,448,0\r\n2006-02-13,12:15:00,3707.00,3707.00,3707.00,3707.00,113,0\r\n2006-02-13,12:16:00,3707.00,3708.00,3707.00,3707.00,157,0\r\n2006-02-13,12:17:00,3707.00,3707.00,3707.00,3707.00,41,0\r\n2006-02-13,12:18:00,3708.00,3708.00,3707.00,3707.00,18,0\r\n2006-02-13,12:19:00,3708.00,3708.00,3708.00,3708.00,1,0\r\n2006-02-13,12:20:00,3708.00,3709.00,3708.00,3709.00,79,0\r\n2006-02-13,12:21:00,3709.00,3709.00,3709.00,3709.00,24,0\r\n2006-02-13,12:22:00,3709.00,3709.00,3709.00,3709.00,1014,0\r\n2006-02-13,12:23:00,3708.00,3709.00,3708.00,3709.00,14,0\r\n2006-02-13,12:25:00,3709.00,3709.00,3708.00,3709.00,40,0\r\n2006-02-13,12:26:00,3709.00,3709.00,3708.00,3708.00,1505,0\r\n2006-02-13,12:28:00,3709.00,3709.00,3708.00,3709.00,24,0\r\n2006-02-13,12:29:00,3709.00,3709.00,3708.00,3709.00,150,0\r\n2006-02-13,12:30:00,3708.00,3708.00,3708.00,3708.00,20,0\r\n2006-02-13,12:31:00,3709.00,3710.00,3709.00,3709.00,298,0\r\n2006-02-13,12:32:00,3709.00,3709.00,3709.00,3709.00,41,0\r\n2006-02-13,12:33:00,3709.00,3710.00,3708.00,3708.00,148,0\r\n2006-02-13,12:34:00,3709.00,3709.00,3709.00,3709.00,86,0\r\n2006-02-13,12:35:00,3709.00,3709.00,3708.00,3708.00,10,0\r\n2006-02-13,12:36:00,3708.00,3709.00,3708.00,3708.00,387,0\r\n2006-02-13,12:37:00,3707.00,3707.00,3707.00,3707.00,18,0\r\n2006-02-13,12:38:00,3707.00,3707.00,3707.00,3707.00,9,0\r\n2006-02-13,12:39:00,3707.00,3707.00,3707.00,3707.00,10,0\r\n2006-02-13,12:41:00,3707.00,3707.00,3706.00,3706.00,185,0\r\n2006-02-13,12:42:00,3706.00,3707.00,3706.00,3707.00,169,0\r\n2006-02-13,12:43:00,3707.00,3707.00,3707.00,3707.00,2,0\r\n2006-02-13,12:44:00,3707.00,3707.00,3706.00,3706.00,259,0\r\n2006-02-13,12:45:00,3707.00,3707.00,3707.00,3707.00,63,0\r\n2006-02-13,12:46:00,3706.00,3707.00,3705.00,3706.00,286,0\r\n2006-02-13,12:47:00,3706.00,3706.00,3706.00,3706.00,2,0\r\n2006-02-13,12:48:00,3707.00,3707.00,3707.00,3707.00,116,0\r\n2006-02-13,12:49:00,3706.00,3707.00,3706.00,3707.00,41,0\r\n2006-02-13,12:50:00,3706.00,3707.00,3706.00,3706.00,203,0\r\n2006-02-13,12:51:00,3707.00,3707.00,3707.00,3707.00,25,0\r\n2006-02-13,12:52:00,3707.00,3707.00,3707.00,3707.00,112,0\r\n2006-02-13,12:54:00,3707.00,3707.00,3707.00,3707.00,355,0\r\n2006-02-13,12:55:00,3707.00,3707.00,3706.00,3707.00,41,0\r\n2006-02-13,12:56:00,3707.00,3707.00,3706.00,3707.00,4135,0\r\n2006-02-13,12:58:00,3707.00,3707.00,3707.00,3707.00,650,0\r\n2006-02-13,12:59:00,3707.00,3708.00,3707.00,3708.00,42,0\r\n2006-02-13,13:00:00,3707.00,3707.00,3707.00,3707.00,371,0\r\n2006-02-13,13:01:00,3707.00,3708.00,3706.00,3708.00,436,0\r\n2006-02-13,13:02:00,3707.00,3709.00,3707.00,3707.00,304,0\r\n2006-02-13,13:03:00,3707.00,3709.00,3706.00,3709.00,660,0\r\n2006-02-13,13:04:00,3709.00,3709.00,3709.00,3709.00,369,0\r\n2006-02-13,13:05:00,3710.00,3710.00,3710.00,3710.00,11,0\r\n2006-02-13,13:06:00,3710.00,3713.00,3709.00,3712.00,1649,0\r\n2006-02-13,13:07:00,3712.00,3715.00,3712.00,3714.00,2430,0\r\n2006-02-13,13:08:00,3714.00,3715.00,3713.00,3713.00,1083,0\r\n2006-02-13,13:09:00,3713.00,3714.00,3712.00,3712.00,125,0\r\n2006-02-13,13:10:00,3713.00,3713.00,3712.00,3712.00,392,0\r\n2006-02-13,13:11:00,3713.00,3713.00,3712.00,3713.00,1596,0\r\n2006-02-13,13:12:00,3713.00,3713.00,3712.00,3713.00,189,0\r\n2006-02-13,13:13:00,3713.00,3714.00,3713.00,3714.00,511,0\r\n2006-02-13,13:14:00,3715.00,3715.00,3713.00,3714.00,338,0\r\n2006-02-13,13:15:00,3713.00,3714.00,3713.00,3713.00,639,0\r\n2006-02-13,13:16:00,3713.00,3713.00,3712.00,3712.00,60,0\r\n2006-02-13,13:17:00,3713.00,3713.00,3712.00,3712.00,180,0\r\n2006-02-13,13:18:00,3713.00,3713.00,3712.00,3713.00,421,0\r\n2006-02-13,13:19:00,3713.00,3713.00,3713.00,3713.00,36,0\r\n2006-02-13,13:20:00,3713.00,3713.00,3713.00,3713.00,3,0\r\n2006-02-13,13:21:00,3713.00,3713.00,3713.00,3713.00,262,0\r\n2006-02-13,13:23:00,3713.00,3714.00,3713.00,3714.00,46,0\r\n2006-02-13,13:24:00,3714.00,3714.00,3713.00,3713.00,103,0\r\n2006-02-13,13:25:00,3714.00,3715.00,3714.00,3714.00,496,0\r\n2006-02-13,13:26:00,3714.00,3715.00,3714.00,3715.00,130,0\r\n2006-02-13,13:27:00,3715.00,3715.00,3714.00,3714.00,47,0\r\n2006-02-13,13:28:00,3715.00,3715.00,3714.00,3715.00,288,0\r\n2006-02-13,13:29:00,3715.00,3716.00,3714.00,3715.00,1378,0\r\n2006-02-13,13:30:00,3715.00,3717.00,3715.00,3717.00,1497,0\r\n2006-02-13,13:31:00,3717.00,3718.00,3717.00,3717.00,1438,0\r\n2006-02-13,13:32:00,3718.00,3720.00,3718.00,3719.00,1497,0\r\n2006-02-13,13:33:00,3719.00,3720.00,3719.00,3719.00,1482,0\r\n2006-02-13,13:34:00,3719.00,3719.00,3718.00,3718.00,329,0\r\n2006-02-13,13:35:00,3719.00,3719.00,3718.00,3718.00,267,0\r\n2006-02-13,13:36:00,3718.00,3719.00,3718.00,3718.00,2091,0\r\n2006-02-13,13:37:00,3719.00,3721.00,3719.00,3721.00,2179,0\r\n2006-02-13,13:38:00,3721.00,3722.00,3719.00,3719.00,2471,0\r\n2006-02-13,13:39:00,3719.00,3720.00,3719.00,3720.00,1064,0\r\n2006-02-13,13:40:00,3721.00,3721.00,3720.00,3721.00,430,0\r\n2006-02-13,13:41:00,3720.00,3721.00,3719.00,3719.00,473,0\r\n2006-02-13,13:42:00,3720.00,3720.00,3719.00,3719.00,982,0\r\n2006-02-13,13:43:00,3719.00,3720.00,3719.00,3720.00,125,0\r\n2006-02-13,13:44:00,3719.00,3720.00,3719.00,3720.00,16,0\r\n2006-02-13,13:45:00,3719.00,3722.00,3719.00,3721.00,1230,0\r\n2006-02-13,13:46:00,3721.00,3721.00,3720.00,3720.00,464,0\r\n2006-02-13,13:47:00,3721.00,3721.00,3719.00,3719.00,345,0\r\n2006-02-13,13:48:00,3720.00,3720.00,3719.00,3720.00,689,0\r\n2006-02-13,13:49:00,3720.00,3720.00,3720.00,3720.00,174,0\r\n2006-02-13,13:50:00,3719.00,3720.00,3718.00,3719.00,1196,0\r\n2006-02-13,13:51:00,3718.00,3719.00,3718.00,3718.00,223,0\r\n2006-02-13,13:52:00,3718.00,3719.00,3718.00,3718.00,599,0\r\n2006-02-13,13:53:00,3718.00,3718.00,3716.00,3716.00,567,0\r\n2006-02-13,13:54:00,3717.00,3717.00,3715.00,3716.00,614,0\r\n2006-02-13,13:55:00,3716.00,3717.00,3716.00,3716.00,7,0\r\n2006-02-13,13:56:00,3717.00,3717.00,3716.00,3717.00,24,0\r\n2006-02-13,13:57:00,3717.00,3717.00,3716.00,3716.00,666,0\r\n2006-02-13,13:58:00,3716.00,3717.00,3716.00,3717.00,214,0\r\n2006-02-13,13:59:00,3716.00,3716.00,3715.00,3715.00,869,0\r\n2006-02-13,14:00:00,3715.00,3716.00,3715.00,3715.00,463,0\r\n2006-02-13,14:01:00,3716.00,3718.00,3716.00,3718.00,574,0\r\n2006-02-13,14:02:00,3718.00,3718.00,3718.00,3718.00,435,0\r\n2006-02-13,14:03:00,3718.00,3718.00,3718.00,3718.00,1044,0\r\n2006-02-13,14:04:00,3718.00,3720.00,3718.00,3718.00,689,0\r\n2006-02-13,14:05:00,3719.00,3719.00,3719.00,3719.00,128,0\r\n2006-02-13,14:06:00,3719.00,3719.00,3719.00,3719.00,104,0\r\n2006-02-13,14:07:00,3719.00,3719.00,3719.00,3719.00,89,0\r\n2006-02-13,14:08:00,3719.00,3720.00,3719.00,3719.00,284,0\r\n2006-02-13,14:09:00,3720.00,3721.00,3720.00,3721.00,683,0\r\n2006-02-13,14:10:00,3721.00,3721.00,3721.00,3721.00,682,0\r\n2006-02-13,14:11:00,3721.00,3724.00,3721.00,3723.00,3311,0\r\n2006-02-13,14:12:00,3723.00,3724.00,3723.00,3724.00,85,0\r\n2006-02-13,14:13:00,3724.00,3725.00,3723.00,3724.00,916,0\r\n2006-02-13,14:14:00,3724.00,3725.00,3723.00,3724.00,1005,0\r\n2006-02-13,14:15:00,3725.00,3725.00,3724.00,3724.00,1480,0\r\n2006-02-13,14:16:00,3724.00,3725.00,3723.00,3723.00,543,0\r\n2006-02-13,14:17:00,3724.00,3724.00,3722.00,3723.00,776,0\r\n2006-02-13,14:18:00,3723.00,3724.00,3722.00,3723.00,456,0\r\n2006-02-13,14:19:00,3723.00,3724.00,3722.00,3722.00,803,0\r\n2006-02-13,14:20:00,3721.00,3722.00,3718.00,3719.00,2575,0\r\n2006-02-13,14:21:00,3719.00,3719.00,3717.00,3718.00,1153,0\r\n2006-02-13,14:22:00,3718.00,3718.00,3717.00,3717.00,2796,0\r\n2006-02-13,14:23:00,3717.00,3717.00,3714.00,3714.00,2860,0\r\n2006-02-13,14:24:00,3714.00,3716.00,3714.00,3714.00,2385,0\r\n2006-02-13,14:25:00,3715.00,3715.00,3711.00,3711.00,2601,0\r\n2006-02-13,14:26:00,3711.00,3714.00,3709.00,3714.00,4273,0\r\n2006-02-13,14:27:00,3713.00,3716.00,3712.00,3715.00,3123,0\r\n2006-02-13,14:28:00,3715.00,3717.00,3712.00,3713.00,2397,0\r\n2006-02-13,14:29:00,3712.00,3713.00,3711.00,3713.00,2123,0\r\n2006-02-13,14:30:00,3713.00,3715.00,3712.00,3715.00,1600,0\r\n2006-02-13,14:31:00,3715.00,3718.00,3715.00,3717.00,2505,0\r\n2006-02-13,14:32:00,3717.00,3718.00,3716.00,3718.00,2757,0\r\n2006-02-13,14:33:00,3718.00,3722.00,3718.00,3721.00,2395,0\r\n2006-02-13,14:34:00,3721.00,3721.00,3719.00,3720.00,1497,0\r\n2006-02-13,14:35:00,3720.00,3721.00,3720.00,3721.00,690,0\r\n2006-02-13,14:36:00,3721.00,3721.00,3721.00,3721.00,25,0\r\n2006-02-13,14:37:00,3721.00,3721.00,3719.00,3720.00,1498,0\r\n2006-02-13,14:38:00,3720.00,3720.00,3719.00,3719.00,386,0\r\n2006-02-13,14:39:00,3718.00,3718.00,3718.00,3718.00,258,0\r\n2006-02-13,14:40:00,3718.00,3719.00,3718.00,3719.00,244,0\r\n2006-02-13,14:41:00,3718.00,3718.00,3718.00,3718.00,21,0\r\n2006-02-13,14:42:00,3718.00,3719.00,3718.00,3719.00,185,0\r\n2006-02-13,14:43:00,3718.00,3719.00,3718.00,3718.00,349,0\r\n2006-02-13,14:44:00,3718.00,3719.00,3718.00,3719.00,370,0\r\n2006-02-13,14:45:00,3718.00,3718.00,3718.00,3718.00,39,0\r\n2006-02-13,14:46:00,3717.00,3719.00,3717.00,3718.00,259,0\r\n2006-02-13,14:47:00,3719.00,3719.00,3718.00,3719.00,420,0\r\n2006-02-13,14:48:00,3719.00,3719.00,3718.00,3718.00,346,0\r\n2006-02-13,14:49:00,3719.00,3719.00,3718.00,3718.00,56,0\r\n2006-02-13,14:50:00,3719.00,3719.00,3718.00,3719.00,131,0\r\n2006-02-13,14:51:00,3718.00,3718.00,3717.00,3717.00,557,0\r\n2006-02-13,14:52:00,3718.00,3718.00,3717.00,3718.00,187,0\r\n2006-02-13,14:53:00,3718.00,3718.00,3718.00,3718.00,154,0\r\n2006-02-13,14:54:00,3719.00,3719.00,3719.00,3719.00,50,0\r\n2006-02-13,14:55:00,3718.00,3719.00,3718.00,3718.00,160,0\r\n2006-02-13,14:56:00,3718.00,3719.00,3718.00,3719.00,19,0\r\n2006-02-13,14:57:00,3718.00,3718.00,3718.00,3718.00,15,0\r\n2006-02-13,14:58:00,3718.00,3718.00,3717.00,3717.00,273,0\r\n2006-02-13,14:59:00,3717.00,3718.00,3717.00,3718.00,286,0\r\n2006-02-13,15:00:00,3718.00,3718.00,3716.00,3717.00,514,0\r\n2006-02-13,15:01:00,3717.00,3718.00,3716.00,3716.00,535,0\r\n2006-02-13,15:02:00,3716.00,3719.00,3716.00,3718.00,993,0\r\n2006-02-13,15:03:00,3718.00,3719.00,3718.00,3718.00,326,0\r\n2006-02-13,15:04:00,3719.00,3719.00,3718.00,3718.00,112,0\r\n2006-02-13,15:05:00,3718.00,3718.00,3718.00,3718.00,5,0\r\n2006-02-13,15:06:00,3719.00,3719.00,3718.00,3719.00,337,0\r\n2006-02-13,15:07:00,3718.00,3719.00,3718.00,3719.00,6,0\r\n2006-02-13,15:09:00,3718.00,3719.00,3718.00,3718.00,97,0\r\n2006-02-13,15:10:00,3719.00,3719.00,3717.00,3717.00,224,0\r\n2006-02-13,15:11:00,3718.00,3718.00,3717.00,3718.00,357,0\r\n2006-02-13,15:12:00,3718.00,3718.00,3717.00,3718.00,147,0\r\n2006-02-13,15:13:00,3718.00,3718.00,3717.00,3717.00,441,0\r\n2006-02-13,15:14:00,3718.00,3719.00,3718.00,3718.00,90,0\r\n2006-02-13,15:15:00,3719.00,3719.00,3717.00,3717.00,265,0\r\n2006-02-13,15:16:00,3717.00,3718.00,3717.00,3717.00,21,0\r\n2006-02-13,15:17:00,3718.00,3718.00,3717.00,3717.00,66,0\r\n2006-02-13,15:18:00,3718.00,3718.00,3716.00,3716.00,280,0\r\n2006-02-13,15:19:00,3717.00,3717.00,3715.00,3715.00,585,0\r\n2006-02-13,15:20:00,3716.00,3716.00,3715.00,3715.00,393,0\r\n2006-02-13,15:21:00,3715.00,3716.00,3715.00,3715.00,30,0\r\n2006-02-13,15:22:00,3715.00,3715.00,3715.00,3715.00,161,0\r\n2006-02-13,15:23:00,3716.00,3716.00,3715.00,3715.00,8,0\r\n2006-02-13,15:24:00,3715.00,3716.00,3715.00,3715.00,34,0\r\n2006-02-13,15:25:00,3715.00,3716.00,3715.00,3715.00,27,0\r\n2006-02-13,15:26:00,3716.00,3717.00,3715.00,3716.00,217,0\r\n2006-02-13,15:27:00,3716.00,3717.00,3716.00,3716.00,79,0\r\n2006-02-13,15:28:00,3716.00,3717.00,3716.00,3716.00,91,0\r\n2006-02-13,15:29:00,3716.00,3716.00,3714.00,3714.00,300,0\r\n2006-02-13,15:30:00,3715.00,3715.00,3714.00,3714.00,29,0\r\n2006-02-13,15:31:00,3715.00,3715.00,3713.00,3714.00,754,0\r\n2006-02-13,15:32:00,3714.00,3714.00,3713.00,3714.00,627,0\r\n2006-02-13,15:33:00,3713.00,3714.00,3712.00,3713.00,733,0\r\n2006-02-13,15:34:00,3712.00,3713.00,3711.00,3712.00,682,0\r\n2006-02-13,15:35:00,3712.00,3713.00,3712.00,3713.00,967,0\r\n2006-02-13,15:36:00,3713.00,3718.00,3712.00,3717.00,1917,0\r\n2006-02-13,15:37:00,3717.00,3717.00,3716.00,3717.00,463,0\r\n2006-02-13,15:38:00,3716.00,3716.00,3714.00,3714.00,813,0\r\n2006-02-13,15:39:00,3714.00,3714.00,3712.00,3713.00,3018,0\r\n2006-02-13,15:40:00,3713.00,3714.00,3713.00,3714.00,113,0\r\n2006-02-13,15:41:00,3713.00,3713.00,3711.00,3711.00,1130,0\r\n2006-02-13,15:42:00,3711.00,3714.00,3711.00,3712.00,1981,0\r\n2006-02-13,15:43:00,3712.00,3713.00,3712.00,3712.00,523,0\r\n2006-02-13,15:44:00,3712.00,3714.00,3711.00,3714.00,329,0\r\n2006-02-13,15:45:00,3713.00,3718.00,3713.00,3717.00,2002,0\r\n2006-02-13,15:46:00,3718.00,3718.00,3716.00,3717.00,573,0\r\n2006-02-13,15:47:00,3717.00,3722.00,3716.00,3722.00,4679,0\r\n2006-02-13,15:48:00,3721.00,3722.00,3719.00,3720.00,2320,0\r\n2006-02-13,15:49:00,3720.00,3720.00,3718.00,3718.00,906,0\r\n2006-02-13,15:50:00,3718.00,3720.00,3718.00,3719.00,2116,0\r\n2006-02-13,15:51:00,3718.00,3719.00,3717.00,3718.00,2087,0\r\n2006-02-13,15:52:00,3717.00,3719.00,3717.00,3719.00,620,0\r\n2006-02-13,15:53:00,3719.00,3720.00,3718.00,3718.00,632,0\r\n2006-02-13,15:54:00,3718.00,3718.00,3717.00,3717.00,428,0\r\n2006-02-13,15:55:00,3717.00,3717.00,3716.00,3717.00,1630,0\r\n2006-02-13,15:56:00,3717.00,3718.00,3716.00,3718.00,1376,0\r\n2006-02-13,15:57:00,3718.00,3718.00,3716.00,3717.00,679,0\r\n2006-02-13,15:58:00,3716.00,3717.00,3715.00,3716.00,682,0\r\n2006-02-13,15:59:00,3717.00,3720.00,3717.00,3718.00,1539,0\r\n2006-02-13,16:00:00,3718.00,3718.00,3717.00,3718.00,157,0\r\n2006-02-13,16:01:00,3718.00,3718.00,3714.00,3714.00,3706,0\r\n2006-02-13,16:02:00,3715.00,3719.00,3715.00,3718.00,1650,0\r\n2006-02-13,16:03:00,3718.00,3720.00,3718.00,3719.00,1390,0\r\n2006-02-13,16:04:00,3719.00,3721.00,3719.00,3720.00,388,0\r\n2006-02-13,16:05:00,3720.00,3722.00,3719.00,3719.00,1715,0\r\n2006-02-13,16:06:00,3720.00,3721.00,3719.00,3720.00,2024,0\r\n2006-02-13,16:07:00,3720.00,3720.00,3718.00,3718.00,2489,0\r\n2006-02-13,16:08:00,3719.00,3721.00,3718.00,3720.00,2552,0\r\n2006-02-13,16:09:00,3720.00,3720.00,3718.00,3719.00,1605,0\r\n2006-02-13,16:10:00,3718.00,3720.00,3718.00,3719.00,627,0\r\n2006-02-13,16:11:00,3720.00,3721.00,3720.00,3721.00,1606,0\r\n2006-02-13,16:12:00,3721.00,3722.00,3719.00,3720.00,1357,0\r\n2006-02-13,16:13:00,3720.00,3723.00,3720.00,3722.00,1617,0\r\n2006-02-13,16:14:00,3723.00,3725.00,3722.00,3723.00,3282,0\r\n2006-02-13,16:15:00,3723.00,3726.00,3723.00,3725.00,3415,0\r\n2006-02-13,16:16:00,3724.00,3725.00,3724.00,3724.00,822,0\r\n2006-02-13,16:17:00,3723.00,3723.00,3721.00,3723.00,1659,0\r\n2006-02-13,16:18:00,3724.00,3724.00,3721.00,3722.00,1728,0\r\n2006-02-13,16:19:00,3722.00,3723.00,3721.00,3722.00,561,0\r\n2006-02-13,16:20:00,3722.00,3723.00,3722.00,3723.00,677,0\r\n2006-02-13,16:21:00,3722.00,3722.00,3718.00,3718.00,2242,0\r\n2006-02-13,16:22:00,3718.00,3719.00,3717.00,3719.00,2858,0\r\n2006-02-13,16:23:00,3719.00,3720.00,3718.00,3720.00,784,0\r\n2006-02-13,16:24:00,3719.00,3721.00,3719.00,3721.00,1032,0\r\n2006-02-13,16:25:00,3721.00,3721.00,3717.00,3718.00,1348,0\r\n2006-02-13,16:26:00,3718.00,3720.00,3718.00,3720.00,1378,0\r\n2006-02-13,16:27:00,3720.00,3721.00,3718.00,3720.00,1190,0\r\n2006-02-13,16:28:00,3719.00,3721.00,3719.00,3721.00,1693,0\r\n2006-02-13,16:29:00,3721.00,3721.00,3718.00,3719.00,1213,0\r\n2006-02-13,16:30:00,3719.00,3721.00,3718.00,3721.00,1680,0\r\n2006-02-13,16:31:00,3721.00,3722.00,3721.00,3721.00,1011,0\r\n2006-02-13,16:32:00,3721.00,3721.00,3718.00,3719.00,1596,0\r\n2006-02-13,16:33:00,3719.00,3721.00,3719.00,3720.00,1244,0\r\n2006-02-13,16:34:00,3720.00,3722.00,3720.00,3721.00,940,0\r\n2006-02-13,16:35:00,3721.00,3724.00,3721.00,3723.00,1699,0\r\n2006-02-13,16:36:00,3723.00,3724.00,3722.00,3723.00,1588,0\r\n2006-02-13,16:37:00,3723.00,3723.00,3723.00,3723.00,448,0\r\n2006-02-13,16:38:00,3722.00,3723.00,3721.00,3722.00,599,0\r\n2006-02-13,16:39:00,3722.00,3722.00,3720.00,3721.00,1706,0\r\n2006-02-13,16:40:00,3721.00,3721.00,3719.00,3721.00,2781,0\r\n2006-02-13,16:41:00,3721.00,3721.00,3717.00,3717.00,1089,0\r\n2006-02-13,16:42:00,3717.00,3718.00,3715.00,3718.00,1613,0\r\n2006-02-13,16:43:00,3718.00,3719.00,3716.00,3716.00,1910,0\r\n2006-02-13,16:44:00,3717.00,3718.00,3716.00,3717.00,530,0\r\n2006-02-13,16:45:00,3717.00,3718.00,3716.00,3718.00,1301,0\r\n2006-02-13,16:46:00,3718.00,3720.00,3717.00,3720.00,1123,0\r\n2006-02-13,16:47:00,3720.00,3720.00,3717.00,3719.00,787,0\r\n2006-02-13,16:48:00,3719.00,3722.00,3719.00,3722.00,1391,0\r\n2006-02-13,16:49:00,3721.00,3721.00,3718.00,3719.00,1171,0\r\n2006-02-13,16:50:00,3720.00,3722.00,3720.00,3722.00,2160,0\r\n2006-02-13,16:51:00,3722.00,3725.00,3722.00,3725.00,2080,0\r\n2006-02-13,16:52:00,3725.00,3726.00,3724.00,3725.00,2108,0\r\n2006-02-13,16:53:00,3725.00,3726.00,3723.00,3724.00,1194,0\r\n2006-02-13,16:54:00,3724.00,3725.00,3723.00,3724.00,1025,0\r\n2006-02-13,16:55:00,3725.00,3725.00,3723.00,3723.00,396,0\r\n2006-02-13,16:56:00,3723.00,3723.00,3721.00,3722.00,1081,0\r\n2006-02-13,16:57:00,3721.00,3723.00,3721.00,3723.00,578,0\r\n2006-02-13,16:58:00,3723.00,3724.00,3722.00,3723.00,392,0\r\n2006-02-13,16:59:00,3723.00,3724.00,3721.00,3723.00,958,0\r\n2006-02-13,17:00:00,3723.00,3723.00,3722.00,3723.00,118,0\r\n2006-02-13,17:01:00,3723.00,3725.00,3723.00,3725.00,1526,0\r\n2006-02-13,17:02:00,3725.00,3726.00,3724.00,3725.00,1645,0\r\n2006-02-13,17:03:00,3724.00,3724.00,3722.00,3723.00,1338,0\r\n2006-02-13,17:04:00,3724.00,3725.00,3723.00,3725.00,804,0\r\n2006-02-13,17:05:00,3725.00,3725.00,3723.00,3723.00,749,0\r\n2006-02-13,17:06:00,3723.00,3724.00,3721.00,3722.00,1808,0\r\n2006-02-13,17:07:00,3722.00,3727.00,3722.00,3727.00,1816,0\r\n2006-02-13,17:08:00,3727.00,3727.00,3726.00,3727.00,964,0\r\n2006-02-13,17:09:00,3727.00,3727.00,3725.00,3726.00,2498,0\r\n2006-02-13,17:10:00,3727.00,3728.00,3725.00,3728.00,3710,0\r\n2006-02-13,17:11:00,3727.00,3733.00,3727.00,3731.00,7521,0\r\n2006-02-13,17:12:00,3731.00,3733.00,3730.00,3732.00,2344,0\r\n2006-02-13,17:13:00,3731.00,3732.00,3729.00,3729.00,3030,0\r\n2006-02-13,17:14:00,3728.00,3730.00,3728.00,3730.00,1756,0\r\n2006-02-13,17:15:00,3730.00,3730.00,3729.00,3730.00,452,0\r\n2006-02-13,17:16:00,3730.00,3730.00,3728.00,3729.00,1569,0\r\n2006-02-13,17:17:00,3729.00,3730.00,3728.00,3729.00,1370,0\r\n2006-02-13,17:18:00,3728.00,3729.00,3728.00,3729.00,765,0\r\n2006-02-13,17:19:00,3730.00,3730.00,3728.00,3728.00,1180,0\r\n2006-02-13,17:20:00,3729.00,3730.00,3728.00,3730.00,899,0\r\n2006-02-13,17:21:00,3730.00,3730.00,3729.00,3730.00,2100,0\r\n2006-02-13,17:22:00,3729.00,3730.00,3728.00,3729.00,1571,0\r\n2006-02-13,17:23:00,3730.00,3730.00,3729.00,3730.00,731,0\r\n2006-02-13,17:24:00,3730.00,3731.00,3729.00,3731.00,1193,0\r\n2006-02-13,17:25:00,3731.00,3731.00,3729.00,3730.00,1790,0\r\n2006-02-13,17:26:00,3730.00,3731.00,3729.00,3730.00,1149,0\r\n2006-02-13,17:27:00,3730.00,3733.00,3729.00,3732.00,2947,0\r\n2006-02-13,17:28:00,3732.00,3736.00,3732.00,3734.00,4409,0\r\n2006-02-13,17:29:00,3735.00,3735.00,3732.00,3734.00,2461,0\r\n2006-02-13,17:30:00,3734.00,3737.00,3733.00,3736.00,9439,0\r\n2006-02-13,17:31:00,3737.00,3737.00,3735.00,3736.00,5583,0\r\n2006-02-13,17:32:00,3736.00,3738.00,3736.00,3736.00,2611,0\r\n2006-02-13,17:33:00,3736.00,3737.00,3736.00,3736.00,1796,0\r\n2006-02-13,17:34:00,3737.00,3737.00,3736.00,3736.00,1287,0\r\n2006-02-13,17:35:00,3736.00,3737.00,3735.00,3736.00,1945,0\r\n2006-02-13,17:36:00,3736.00,3738.00,3736.00,3737.00,3166,0\r\n2006-02-13,17:37:00,3738.00,3738.00,3736.00,3736.00,1189,0\r\n2006-02-13,17:38:00,3736.00,3736.00,3735.00,3736.00,1458,0\r\n2006-02-13,17:39:00,3735.00,3737.00,3735.00,3736.00,327,0\r\n2006-02-13,17:40:00,3736.00,3737.00,3736.00,3737.00,44,0\r\n2006-02-13,17:41:00,3737.00,3737.00,3735.00,3735.00,511,0\r\n2006-02-13,17:42:00,3735.00,3737.00,3735.00,3736.00,790,0\r\n2006-02-13,17:43:00,3737.00,3737.00,3736.00,3737.00,959,0\r\n2006-02-13,17:44:00,3736.00,3737.00,3736.00,3737.00,844,0\r\n2006-02-13,17:45:00,3737.00,3737.00,3736.00,3737.00,891,0\r\n2006-02-13,17:46:00,3736.00,3737.00,3735.00,3736.00,1215,0\r\n2006-02-13,17:47:00,3736.00,3736.00,3735.00,3735.00,447,0\r\n2006-02-13,17:48:00,3736.00,3736.00,3735.00,3735.00,800,0\r\n2006-02-13,17:49:00,3735.00,3737.00,3735.00,3737.00,543,0\r\n2006-02-13,17:50:00,3737.00,3737.00,3736.00,3737.00,984,0\r\n2006-02-13,17:51:00,3737.00,3738.00,3737.00,3738.00,164,0\r\n2006-02-13,17:52:00,3737.00,3739.00,3737.00,3739.00,2139,0\r\n2006-02-13,17:53:00,3739.00,3739.00,3737.00,3737.00,822,0\r\n2006-02-13,17:54:00,3737.00,3738.00,3737.00,3737.00,644,0\r\n2006-02-13,17:55:00,3737.00,3738.00,3737.00,3738.00,156,0\r\n2006-02-13,17:56:00,3739.00,3740.00,3738.00,3738.00,2256,0\r\n2006-02-13,17:57:00,3738.00,3738.00,3737.00,3737.00,550,0\r\n2006-02-13,17:58:00,3737.00,3739.00,3737.00,3739.00,305,0\r\n2006-02-13,17:59:00,3738.00,3738.00,3737.00,3737.00,296,0\r\n2006-02-13,18:00:00,3737.00,3740.00,3737.00,3739.00,1167,0\r\n2006-02-13,18:01:00,3740.00,3740.00,3738.00,3738.00,119,0\r\n2006-02-13,18:02:00,3738.00,3740.00,3738.00,3739.00,521,0\r\n2006-02-13,18:03:00,3739.00,3740.00,3739.00,3739.00,235,0\r\n2006-02-13,18:04:00,3739.00,3739.00,3738.00,3738.00,220,0\r\n2006-02-13,18:05:00,3738.00,3739.00,3737.00,3739.00,608,0\r\n2006-02-13,18:06:00,3738.00,3738.00,3737.00,3738.00,57,0\r\n2006-02-13,18:07:00,3738.00,3738.00,3737.00,3737.00,65,0\r\n2006-02-13,18:08:00,3737.00,3737.00,3737.00,3737.00,18,0\r\n2006-02-13,18:09:00,3737.00,3737.00,3737.00,3737.00,1005,0\r\n2006-02-13,18:10:00,3737.00,3737.00,3736.00,3737.00,767,0\r\n2006-02-13,18:11:00,3737.00,3738.00,3737.00,3738.00,322,0\r\n2006-02-13,18:12:00,3738.00,3741.00,3738.00,3740.00,978,0\r\n2006-02-13,18:13:00,3741.00,3741.00,3739.00,3740.00,575,0\r\n2006-02-13,18:14:00,3739.00,3740.00,3739.00,3740.00,64,0\r\n2006-02-13,18:15:00,3740.00,3740.00,3739.00,3740.00,24,0\r\n2006-02-13,18:16:00,3739.00,3740.00,3739.00,3739.00,535,0\r\n2006-02-13,18:17:00,3739.00,3739.00,3738.00,3739.00,146,0\r\n2006-02-13,18:18:00,3739.00,3740.00,3739.00,3740.00,33,0\r\n2006-02-13,18:19:00,3740.00,3740.00,3740.00,3740.00,118,0\r\n2006-02-13,18:20:00,3741.00,3741.00,3740.00,3741.00,73,0\r\n2006-02-13,18:21:00,3740.00,3741.00,3740.00,3741.00,190,0\r\n2006-02-13,18:22:00,3741.00,3741.00,3740.00,3740.00,400,0\r\n2006-02-13,18:23:00,3741.00,3742.00,3740.00,3740.00,192,0\r\n2006-02-13,18:24:00,3740.00,3740.00,3740.00,3740.00,52,0\r\n2006-02-13,18:25:00,3740.00,3740.00,3739.00,3739.00,155,0\r\n2006-02-13,18:26:00,3739.00,3739.00,3738.00,3739.00,363,0\r\n2006-02-13,18:27:00,3739.00,3739.00,3739.00,3739.00,66,0\r\n2006-02-13,18:28:00,3739.00,3739.00,3739.00,3739.00,14,0\r\n2006-02-13,18:29:00,3739.00,3739.00,3738.00,3739.00,318,0\r\n2006-02-13,18:30:00,3739.00,3739.00,3738.00,3738.00,77,0\r\n2006-02-13,18:31:00,3738.00,3738.00,3738.00,3738.00,6,0\r\n2006-02-13,18:32:00,3738.00,3738.00,3738.00,3738.00,329,0\r\n2006-02-13,18:33:00,3738.00,3739.00,3737.00,3738.00,1175,0\r\n2006-02-13,18:34:00,3738.00,3738.00,3737.00,3737.00,366,0\r\n2006-02-13,18:35:00,3737.00,3737.00,3737.00,3737.00,40,0\r\n2006-02-13,18:36:00,3737.00,3737.00,3737.00,3737.00,108,0\r\n2006-02-13,18:37:00,3738.00,3738.00,3736.00,3736.00,244,0\r\n2006-02-13,18:38:00,3737.00,3737.00,3736.00,3736.00,82,0\r\n2006-02-13,18:39:00,3736.00,3736.00,3734.00,3734.00,2160,0\r\n2006-02-13,18:40:00,3734.00,3734.00,3729.00,3730.00,2368,0\r\n2006-02-13,18:41:00,3729.00,3730.00,3728.00,3730.00,1988,0\r\n2006-02-13,18:42:00,3730.00,3730.00,3728.00,3730.00,714,0\r\n2006-02-13,18:43:00,3730.00,3731.00,3730.00,3731.00,20,0\r\n2006-02-13,18:44:00,3731.00,3731.00,3730.00,3730.00,254,0\r\n2006-02-13,18:45:00,3731.00,3731.00,3730.00,3730.00,269,0\r\n2006-02-13,18:46:00,3730.00,3731.00,3730.00,3731.00,540,0\r\n2006-02-13,18:47:00,3731.00,3732.00,3730.00,3731.00,579,0\r\n2006-02-13,18:48:00,3731.00,3731.00,3731.00,3731.00,170,0\r\n2006-02-13,18:49:00,3731.00,3731.00,3730.00,3731.00,184,0\r\n2006-02-13,18:50:00,3732.00,3733.00,3731.00,3733.00,471,0\r\n2006-02-13,18:51:00,3732.00,3733.00,3732.00,3733.00,265,0\r\n2006-02-13,18:52:00,3733.00,3733.00,3732.00,3732.00,37,0\r\n2006-02-13,18:53:00,3732.00,3733.00,3732.00,3732.00,270,0\r\n2006-02-13,18:54:00,3731.00,3731.00,3731.00,3731.00,178,0\r\n2006-02-13,18:55:00,3731.00,3731.00,3731.00,3731.00,1,0\r\n2006-02-13,18:56:00,3732.00,3732.00,3731.00,3732.00,146,0\r\n2006-02-13,18:57:00,3732.00,3732.00,3731.00,3731.00,48,0\r\n2006-02-13,18:58:00,3731.00,3731.00,3731.00,3731.00,35,0\r\n2006-02-13,18:59:00,3731.00,3731.00,3731.00,3731.00,12,0\r\n2006-02-13,19:00:00,3732.00,3732.00,3731.00,3731.00,48,0\r\n2006-02-13,19:01:00,3731.00,3731.00,3730.00,3731.00,403,0\r\n2006-02-13,19:02:00,3731.00,3731.00,3731.00,3731.00,1,0\r\n2006-02-13,19:03:00,3732.00,3733.00,3732.00,3732.00,227,0\r\n2006-02-13,19:04:00,3733.00,3733.00,3733.00,3733.00,83,0\r\n2006-02-13,19:05:00,3733.00,3733.00,3732.00,3733.00,150,0\r\n2006-02-13,19:06:00,3733.00,3734.00,3732.00,3733.00,168,0\r\n2006-02-13,19:07:00,3734.00,3734.00,3733.00,3734.00,409,0\r\n2006-02-13,19:08:00,3734.00,3736.00,3734.00,3735.00,359,0\r\n2006-02-13,19:09:00,3735.00,3735.00,3734.00,3734.00,53,0\r\n2006-02-13,19:10:00,3734.00,3735.00,3734.00,3734.00,234,0\r\n2006-02-13,19:11:00,3734.00,3734.00,3734.00,3734.00,70,0\r\n2006-02-13,19:12:00,3733.00,3733.00,3730.00,3730.00,805,0\r\n2006-02-13,19:13:00,3730.00,3732.00,3729.00,3730.00,603,0\r\n2006-02-13,19:14:00,3730.00,3731.00,3729.00,3729.00,127,0\r\n2006-02-13,19:15:00,3730.00,3730.00,3723.00,3725.00,2742,0\r\n2006-02-13,19:16:00,3726.00,3726.00,3723.00,3726.00,587,0\r\n2006-02-13,19:17:00,3726.00,3726.00,3721.00,3721.00,1582,0\r\n2006-02-13,19:18:00,3721.00,3722.00,3721.00,3721.00,993,0\r\n2006-02-13,19:19:00,3721.00,3722.00,3718.00,3721.00,1570,0\r\n2006-02-13,19:20:00,3721.00,3722.00,3720.00,3722.00,504,0\r\n2006-02-13,19:21:00,3722.00,3723.00,3722.00,3723.00,518,0\r\n2006-02-13,19:22:00,3724.00,3724.00,3722.00,3723.00,765,0\r\n2006-02-13,19:23:00,3723.00,3724.00,3723.00,3723.00,59,0\r\n2006-02-13,19:24:00,3723.00,3725.00,3723.00,3725.00,140,0\r\n2006-02-13,19:25:00,3724.00,3725.00,3724.00,3724.00,248,0\r\n2006-02-13,19:26:00,3724.00,3724.00,3723.00,3724.00,130,0\r\n2006-02-13,19:27:00,3725.00,3725.00,3723.00,3723.00,47,0\r\n2006-02-13,19:28:00,3724.00,3724.00,3723.00,3724.00,430,0\r\n2006-02-13,19:29:00,3724.00,3725.00,3724.00,3724.00,110,0\r\n2006-02-13,19:30:00,3724.00,3724.00,3723.00,3724.00,192,0\r\n2006-02-13,19:31:00,3724.00,3724.00,3722.00,3722.00,609,0\r\n2006-02-13,19:32:00,3723.00,3723.00,3721.00,3722.00,623,0\r\n2006-02-13,19:33:00,3721.00,3721.00,3718.00,3719.00,1236,0\r\n2006-02-13,19:34:00,3719.00,3720.00,3718.00,3720.00,491,0\r\n2006-02-13,19:35:00,3720.00,3720.00,3719.00,3720.00,77,0\r\n2006-02-13,19:36:00,3720.00,3720.00,3719.00,3720.00,472,0\r\n2006-02-13,19:37:00,3720.00,3720.00,3718.00,3719.00,775,0\r\n2006-02-13,19:38:00,3719.00,3719.00,3718.00,3719.00,99,0\r\n2006-02-13,19:39:00,3719.00,3720.00,3719.00,3720.00,66,0\r\n2006-02-13,19:40:00,3721.00,3721.00,3719.00,3720.00,207,0\r\n2006-02-13,19:41:00,3720.00,3721.00,3720.00,3721.00,369,0\r\n2006-02-13,19:42:00,3721.00,3723.00,3721.00,3723.00,186,0\r\n2006-02-13,19:43:00,3723.00,3723.00,3723.00,3723.00,253,0\r\n2006-02-13,19:44:00,3723.00,3723.00,3722.00,3722.00,137,0\r\n2006-02-13,19:45:00,3723.00,3725.00,3723.00,3725.00,190,0\r\n2006-02-13,19:46:00,3725.00,3725.00,3724.00,3724.00,23,0\r\n2006-02-13,19:47:00,3725.00,3725.00,3725.00,3725.00,235,0\r\n2006-02-13,19:48:00,3725.00,3725.00,3724.00,3724.00,59,0\r\n2006-02-13,19:49:00,3724.00,3724.00,3723.00,3723.00,111,0\r\n2006-02-13,19:50:00,3722.00,3722.00,3722.00,3722.00,1,0\r\n2006-02-13,19:51:00,3723.00,3723.00,3723.00,3723.00,44,0\r\n2006-02-13,19:52:00,3723.00,3723.00,3722.00,3722.00,119,0\r\n2006-02-13,19:53:00,3722.00,3722.00,3721.00,3722.00,51,0\r\n2006-02-13,19:54:00,3722.00,3722.00,3721.00,3722.00,56,0\r\n2006-02-13,19:55:00,3722.00,3723.00,3722.00,3722.00,142,0\r\n2006-02-13,19:56:00,3722.00,3722.00,3722.00,3722.00,22,0\r\n2006-02-13,19:57:00,3722.00,3722.00,3720.00,3720.00,139,0\r\n2006-02-13,19:58:00,3720.00,3721.00,3720.00,3721.00,55,0\r\n2006-02-13,19:59:00,3721.00,3721.00,3720.00,3720.00,63,0\r\n2006-02-13,20:00:00,3719.00,3719.00,3717.00,3717.00,1117,0\r\n2006-02-13,20:01:00,3716.00,3718.00,3716.00,3718.00,500,0\r\n2006-02-13,20:02:00,3718.00,3719.00,3718.00,3719.00,44,0\r\n2006-02-13,20:03:00,3719.00,3719.00,3718.00,3719.00,240,0\r\n2006-02-13,20:04:00,3719.00,3721.00,3719.00,3721.00,275,0\r\n2006-02-13,20:05:00,3721.00,3721.00,3720.00,3720.00,209,0\r\n2006-02-13,20:06:00,3720.00,3720.00,3720.00,3720.00,230,0\r\n2006-02-13,20:07:00,3721.00,3721.00,3720.00,3720.00,3,0\r\n2006-02-13,20:08:00,3720.00,3720.00,3720.00,3720.00,1,0\r\n2006-02-13,20:09:00,3720.00,3721.00,3719.00,3720.00,76,0\r\n2006-02-13,20:10:00,3720.00,3720.00,3720.00,3720.00,51,0\r\n2006-02-13,20:11:00,3720.00,3721.00,3720.00,3721.00,144,0\r\n2006-02-13,20:12:00,3721.00,3721.00,3720.00,3721.00,107,0\r\n2006-02-13,20:13:00,3720.00,3720.00,3719.00,3719.00,96,0\r\n2006-02-13,20:14:00,3719.00,3719.00,3719.00,3719.00,135,0\r\n2006-02-13,20:15:00,3718.00,3718.00,3718.00,3718.00,251,0\r\n2006-02-13,20:16:00,3718.00,3719.00,3718.00,3718.00,15,0\r\n2006-02-13,20:17:00,3718.00,3720.00,3718.00,3720.00,206,0\r\n2006-02-13,20:18:00,3720.00,3723.00,3720.00,3723.00,476,0\r\n2006-02-13,20:19:00,3723.00,3724.00,3723.00,3723.00,106,0\r\n2006-02-13,20:20:00,3723.00,3723.00,3723.00,3723.00,46,0\r\n2006-02-13,20:21:00,3723.00,3723.00,3722.00,3722.00,2,0\r\n2006-02-13,20:22:00,3722.00,3722.00,3722.00,3722.00,41,0\r\n2006-02-13,20:23:00,3723.00,3723.00,3723.00,3723.00,31,0\r\n2006-02-13,20:24:00,3724.00,3724.00,3724.00,3724.00,96,0\r\n2006-02-13,20:25:00,3724.00,3725.00,3724.00,3724.00,181,0\r\n2006-02-13,20:26:00,3724.00,3724.00,3723.00,3723.00,84,0\r\n2006-02-13,20:27:00,3723.00,3724.00,3723.00,3723.00,53,0\r\n2006-02-13,20:28:00,3723.00,3723.00,3723.00,3723.00,21,0\r\n2006-02-13,20:29:00,3723.00,3723.00,3723.00,3723.00,22,0\r\n2006-02-13,20:31:00,3723.00,3723.00,3723.00,3723.00,41,0\r\n2006-02-13,20:32:00,3723.00,3723.00,3723.00,3723.00,3,0\r\n2006-02-13,20:33:00,3723.00,3723.00,3723.00,3723.00,18,0\r\n2006-02-13,20:35:00,3723.00,3724.00,3723.00,3724.00,11,0\r\n2006-02-13,20:36:00,3724.00,3724.00,3723.00,3724.00,251,0\r\n2006-02-13,20:37:00,3724.00,3724.00,3724.00,3724.00,18,0\r\n2006-02-13,20:38:00,3723.00,3723.00,3723.00,3723.00,6,0\r\n2006-02-13,20:39:00,3723.00,3723.00,3723.00,3723.00,4,0\r\n2006-02-13,20:40:00,3723.00,3724.00,3723.00,3724.00,53,0\r\n2006-02-13,20:41:00,3723.00,3723.00,3722.00,3722.00,44,0\r\n2006-02-13,20:43:00,3723.00,3723.00,3723.00,3723.00,32,0\r\n2006-02-13,20:44:00,3723.00,3723.00,3723.00,3723.00,1,0\r\n2006-02-13,20:45:00,3723.00,3723.00,3723.00,3723.00,7,0\r\n2006-02-13,20:46:00,3722.00,3722.00,3722.00,3722.00,13,0\r\n2006-02-13,20:47:00,3722.00,3722.00,3721.00,3722.00,98,0\r\n2006-02-13,20:48:00,3721.00,3721.00,3721.00,3721.00,131,0\r\n2006-02-13,20:49:00,3721.00,3721.00,3721.00,3721.00,44,0\r\n2006-02-13,20:50:00,3720.00,3721.00,3720.00,3721.00,19,0\r\n2006-02-13,20:51:00,3721.00,3721.00,3721.00,3721.00,1,0\r\n2006-02-13,20:52:00,3721.00,3721.00,3720.00,3721.00,20,0\r\n2006-02-13,20:53:00,3722.00,3724.00,3722.00,3723.00,472,0\r\n2006-02-13,20:54:00,3723.00,3723.00,3722.00,3722.00,178,0\r\n2006-02-13,20:55:00,3722.00,3722.00,3719.00,3719.00,541,0\r\n2006-02-13,20:56:00,3719.00,3719.00,3719.00,3719.00,27,0\r\n2006-02-13,20:57:00,3719.00,3719.00,3718.00,3718.00,23,0\r\n2006-02-13,20:58:00,3718.00,3719.00,3718.00,3719.00,45,0\r\n2006-02-13,20:59:00,3719.00,3719.00,3719.00,3719.00,2,0\r\n2006-02-13,21:00:00,3719.00,3719.00,3719.00,3719.00,2,0\r\n2006-02-13,21:01:00,3720.00,3721.00,3720.00,3720.00,24,0\r\n2006-02-13,21:02:00,3721.00,3721.00,3720.00,3721.00,8,0\r\n2006-02-13,21:03:00,3721.00,3721.00,3721.00,3721.00,18,0\r\n2006-02-13,21:04:00,3721.00,3721.00,3720.00,3720.00,7,0\r\n2006-02-13,21:06:00,3720.00,3721.00,3720.00,3721.00,9,0\r\n2006-02-13,21:09:00,3721.00,3722.00,3721.00,3722.00,12,0\r\n2006-02-13,21:11:00,3721.00,3721.00,3720.00,3720.00,14,0\r\n2006-02-13,21:12:00,3719.00,3719.00,3719.00,3719.00,84,0\r\n2006-02-13,21:13:00,3719.00,3719.00,3719.00,3719.00,26,0\r\n2006-02-13,21:14:00,3719.00,3719.00,3719.00,3719.00,32,0\r\n2006-02-13,21:15:00,3719.00,3720.00,3719.00,3719.00,53,0\r\n2006-02-13,21:16:00,3720.00,3720.00,3719.00,3719.00,111,0\r\n2006-02-13,21:17:00,3720.00,3721.00,3720.00,3720.00,43,0\r\n2006-02-13,21:18:00,3719.00,3719.00,3719.00,3719.00,10,0\r\n2006-02-13,21:19:00,3720.00,3720.00,3720.00,3720.00,23,0\r\n2006-02-13,21:20:00,3720.00,3720.00,3720.00,3720.00,4,0\r\n2006-02-13,21:21:00,3721.00,3722.00,3721.00,3722.00,48,0\r\n2006-02-13,21:22:00,3722.00,3722.00,3721.00,3722.00,38,0\r\n2006-02-13,21:23:00,3722.00,3723.00,3722.00,3723.00,234,0\r\n2006-02-13,21:24:00,3723.00,3724.00,3723.00,3724.00,54,0\r\n2006-02-13,21:25:00,3723.00,3723.00,3723.00,3723.00,11,0\r\n2006-02-13,21:26:00,3723.00,3723.00,3723.00,3723.00,23,0\r\n2006-02-13,21:27:00,3723.00,3723.00,3723.00,3723.00,1,0\r\n2006-02-13,21:28:00,3723.00,3723.00,3723.00,3723.00,3,0\r\n2006-02-13,21:30:00,3724.00,3724.00,3724.00,3724.00,1,0\r\n2006-02-13,21:31:00,3724.00,3725.00,3723.00,3723.00,98,0\r\n2006-02-13,21:32:00,3724.00,3725.00,3724.00,3724.00,32,0\r\n2006-02-13,21:33:00,3725.00,3725.00,3725.00,3725.00,46,0\r\n2006-02-13,21:34:00,3725.00,3726.00,3725.00,3725.00,110,0\r\n2006-02-13,21:35:00,3726.00,3726.00,3725.00,3726.00,107,0\r\n2006-02-13,21:36:00,3726.00,3727.00,3725.00,3727.00,58,0\r\n2006-02-13,21:37:00,3727.00,3729.00,3727.00,3728.00,167,0\r\n2006-02-13,21:39:00,3728.00,3728.00,3727.00,3727.00,24,0\r\n2006-02-13,21:40:00,3727.00,3727.00,3727.00,3727.00,2,0\r\n2006-02-13,21:41:00,3727.00,3727.00,3727.00,3727.00,19,0\r\n2006-02-13,21:42:00,3727.00,3727.00,3727.00,3727.00,8,0\r\n2006-02-13,21:44:00,3726.00,3726.00,3726.00,3726.00,3,0\r\n2006-02-13,21:46:00,3726.00,3726.00,3726.00,3726.00,9,0\r\n2006-02-13,21:47:00,3726.00,3727.00,3726.00,3727.00,7,0\r\n2006-02-13,21:48:00,3727.00,3728.00,3727.00,3728.00,69,0\r\n2006-02-13,21:49:00,3728.00,3729.00,3728.00,3728.00,77,0\r\n2006-02-13,21:50:00,3727.00,3728.00,3727.00,3728.00,21,0\r\n2006-02-13,21:51:00,3728.00,3728.00,3728.00,3728.00,163,0\r\n2006-02-13,21:52:00,3728.00,3729.00,3728.00,3729.00,95,0\r\n2006-02-13,21:53:00,3729.00,3730.00,3729.00,3729.00,290,0\r\n2006-02-13,21:54:00,3729.00,3729.00,3728.00,3728.00,82,0\r\n2006-02-13,21:55:00,3728.00,3729.00,3728.00,3729.00,7,0\r\n2006-02-13,21:56:00,3728.00,3729.00,3728.00,3729.00,26,0\r\n2006-02-13,21:57:00,3728.00,3728.00,3728.00,3728.00,11,0\r\n2006-02-13,21:58:00,3728.00,3729.00,3728.00,3728.00,107,0\r\n2006-02-13,21:59:00,3728.00,3728.00,3726.00,3727.00,137,0\r\n2006-02-13,22:00:00,3728.00,3730.00,3727.00,3730.00,83,0\r\n2006-02-14,09:01:00,3740.00,3746.00,3740.00,3746.00,9029,0\r\n2006-02-14,09:02:00,3746.00,3747.00,3744.00,3745.00,3700,0\r\n2006-02-14,09:03:00,3746.00,3746.00,3744.00,3745.00,1549,0\r\n2006-02-14,09:04:00,3745.00,3746.00,3744.00,3745.00,1288,0\r\n2006-02-14,09:05:00,3745.00,3748.00,3744.00,3748.00,2893,0\r\n2006-02-14,09:06:00,3747.00,3749.00,3746.00,3746.00,1939,0\r\n2006-02-14,09:07:00,3746.00,3748.00,3746.00,3747.00,1384,0\r\n2006-02-14,09:08:00,3747.00,3750.00,3747.00,3749.00,3045,0\r\n2006-02-14,09:09:00,3749.00,3749.00,3748.00,3749.00,842,0\r\n2006-02-14,09:10:00,3749.00,3750.00,3747.00,3750.00,2658,0\r\n2006-02-14,09:11:00,3750.00,3752.00,3749.00,3752.00,4931,0\r\n2006-02-14,09:12:00,3752.00,3754.00,3751.00,3752.00,2718,0\r\n2006-02-14,09:13:00,3752.00,3753.00,3750.00,3750.00,2000,0\r\n2006-02-14,09:14:00,3751.00,3752.00,3750.00,3751.00,1148,0\r\n2006-02-14,09:15:00,3750.00,3750.00,3748.00,3749.00,1730,0\r\n2006-02-14,09:16:00,3750.00,3751.00,3749.00,3749.00,1203,0\r\n2006-02-14,09:17:00,3750.00,3750.00,3748.00,3749.00,1062,0\r\n2006-02-14,09:18:00,3748.00,3749.00,3748.00,3748.00,1044,0\r\n2006-02-14,09:19:00,3748.00,3749.00,3747.00,3749.00,881,0\r\n2006-02-14,09:20:00,3748.00,3749.00,3748.00,3748.00,675,0\r\n2006-02-14,09:21:00,3748.00,3748.00,3746.00,3746.00,1646,0\r\n2006-02-14,09:22:00,3746.00,3746.00,3745.00,3746.00,634,0\r\n2006-02-14,09:23:00,3745.00,3746.00,3745.00,3745.00,851,0\r\n2006-02-14,09:24:00,3745.00,3747.00,3744.00,3746.00,3050,0\r\n2006-02-14,09:25:00,3745.00,3746.00,3742.00,3743.00,1893,0\r\n2006-02-14,09:26:00,3743.00,3743.00,3742.00,3743.00,2446,0\r\n2006-02-14,09:27:00,3742.00,3743.00,3741.00,3742.00,957,0\r\n2006-02-14,09:28:00,3742.00,3742.00,3739.00,3739.00,4909,0\r\n2006-02-14,09:29:00,3740.00,3740.00,3738.00,3739.00,2370,0\r\n2006-02-14,09:30:00,3740.00,3741.00,3740.00,3740.00,1116,0\r\n2006-02-14,09:31:00,3740.00,3741.00,3740.00,3741.00,1136,0\r\n2006-02-14,09:32:00,3740.00,3741.00,3740.00,3740.00,580,0\r\n2006-02-14,09:33:00,3740.00,3741.00,3739.00,3740.00,716,0\r\n2006-02-14,09:34:00,3740.00,3744.00,3740.00,3744.00,2613,0\r\n2006-02-14,09:35:00,3743.00,3744.00,3743.00,3743.00,1184,0\r\n2006-02-14,09:36:00,3743.00,3745.00,3743.00,3745.00,792,0\r\n2006-02-14,09:37:00,3745.00,3746.00,3743.00,3743.00,991,0\r\n2006-02-14,09:38:00,3743.00,3745.00,3742.00,3742.00,872,0\r\n2006-02-14,09:39:00,3743.00,3744.00,3741.00,3742.00,1537,0\r\n2006-02-14,09:40:00,3742.00,3742.00,3741.00,3741.00,329,0\r\n2006-02-14,09:41:00,3741.00,3741.00,3740.00,3740.00,1294,0\r\n2006-02-14,09:42:00,3739.00,3740.00,3739.00,3739.00,1794,0\r\n2006-02-14,09:43:00,3739.00,3740.00,3737.00,3737.00,1251,0\r\n2006-02-14,09:44:00,3737.00,3738.00,3734.00,3736.00,2564,0\r\n2006-02-14,09:45:00,3736.00,3736.00,3734.00,3735.00,521,0\r\n2006-02-14,09:46:00,3735.00,3735.00,3733.00,3733.00,1678,0\r\n2006-02-14,09:47:00,3733.00,3735.00,3733.00,3735.00,1067,0\r\n2006-02-14,09:48:00,3734.00,3736.00,3734.00,3735.00,773,0\r\n2006-02-14,09:49:00,3736.00,3736.00,3736.00,3736.00,610,0\r\n2006-02-14,09:50:00,3736.00,3736.00,3734.00,3734.00,797,0\r\n2006-02-14,09:51:00,3734.00,3737.00,3733.00,3736.00,2190,0\r\n2006-02-14,09:52:00,3737.00,3738.00,3737.00,3737.00,778,0\r\n2006-02-14,09:53:00,3737.00,3738.00,3737.00,3738.00,702,0\r\n2006-02-14,09:54:00,3737.00,3739.00,3737.00,3738.00,4896,0\r\n2006-02-14,09:55:00,3738.00,3739.00,3738.00,3739.00,429,0\r\n2006-02-14,09:56:00,3738.00,3738.00,3737.00,3738.00,1005,0\r\n2006-02-14,09:57:00,3738.00,3738.00,3738.00,3738.00,22,0\r\n2006-02-14,09:58:00,3738.00,3738.00,3738.00,3738.00,366,0\r\n2006-02-14,09:59:00,3738.00,3738.00,3737.00,3737.00,316,0\r\n2006-02-14,10:00:00,3737.00,3738.00,3737.00,3737.00,323,0\r\n2006-02-14,10:01:00,3737.00,3737.00,3736.00,3737.00,1579,0\r\n2006-02-14,10:02:00,3737.00,3737.00,3736.00,3736.00,453,0\r\n2006-02-14,10:03:00,3736.00,3737.00,3734.00,3734.00,455,0\r\n2006-02-14,10:04:00,3734.00,3735.00,3733.00,3733.00,309,0\r\n2006-02-14,10:05:00,3733.00,3734.00,3733.00,3734.00,598,0\r\n2006-02-14,10:06:00,3734.00,3735.00,3734.00,3734.00,483,0\r\n2006-02-14,10:07:00,3735.00,3735.00,3734.00,3735.00,191,0\r\n2006-02-14,10:08:00,3735.00,3735.00,3734.00,3734.00,82,0\r\n2006-02-14,10:09:00,3735.00,3735.00,3734.00,3734.00,30,0\r\n2006-02-14,10:10:00,3734.00,3734.00,3734.00,3734.00,154,0\r\n2006-02-14,10:11:00,3734.00,3736.00,3734.00,3736.00,564,0\r\n2006-02-14,10:12:00,3735.00,3735.00,3733.00,3734.00,521,0\r\n2006-02-14,10:13:00,3735.00,3735.00,3734.00,3734.00,453,0\r\n2006-02-14,10:14:00,3735.00,3736.00,3734.00,3736.00,319,0\r\n2006-02-14,10:15:00,3736.00,3738.00,3736.00,3736.00,922,0\r\n2006-02-14,10:16:00,3736.00,3738.00,3736.00,3738.00,332,0\r\n2006-02-14,10:17:00,3738.00,3738.00,3737.00,3738.00,622,0\r\n2006-02-14,10:18:00,3738.00,3739.00,3737.00,3737.00,479,0\r\n2006-02-14,10:19:00,3738.00,3738.00,3735.00,3735.00,780,0\r\n2006-02-14,10:20:00,3736.00,3738.00,3736.00,3738.00,920,0\r\n2006-02-14,10:21:00,3737.00,3737.00,3737.00,3737.00,69,0\r\n2006-02-14,10:22:00,3737.00,3738.00,3737.00,3737.00,936,0\r\n2006-02-14,10:23:00,3737.00,3737.00,3736.00,3737.00,446,0\r\n2006-02-14,10:24:00,3737.00,3738.00,3737.00,3738.00,407,0\r\n2006-02-14,10:25:00,3738.00,3738.00,3737.00,3738.00,756,0\r\n2006-02-14,10:26:00,3738.00,3738.00,3737.00,3738.00,36,0\r\n2006-02-14,10:27:00,3738.00,3738.00,3737.00,3738.00,43,0\r\n2006-02-14,10:28:00,3737.00,3738.00,3737.00,3738.00,853,0\r\n2006-02-14,10:29:00,3738.00,3738.00,3737.00,3737.00,197,0\r\n2006-02-14,10:30:00,3737.00,3738.00,3737.00,3737.00,82,0\r\n2006-02-14,10:31:00,3738.00,3738.00,3737.00,3738.00,298,0\r\n2006-02-14,10:32:00,3738.00,3738.00,3737.00,3737.00,216,0\r\n2006-02-14,10:33:00,3737.00,3738.00,3737.00,3738.00,21,0\r\n2006-02-14,10:34:00,3737.00,3739.00,3737.00,3739.00,1472,0\r\n2006-02-14,10:35:00,3738.00,3738.00,3737.00,3738.00,486,0\r\n2006-02-14,10:36:00,3738.00,3738.00,3738.00,3738.00,81,0\r\n2006-02-14,10:37:00,3737.00,3737.00,3735.00,3736.00,1034,0\r\n2006-02-14,10:38:00,3736.00,3737.00,3736.00,3736.00,114,0\r\n2006-02-14,10:39:00,3736.00,3736.00,3735.00,3735.00,188,0\r\n2006-02-14,10:40:00,3736.00,3736.00,3735.00,3735.00,9,0\r\n2006-02-14,10:41:00,3736.00,3736.00,3733.00,3734.00,802,0\r\n2006-02-14,10:42:00,3734.00,3734.00,3734.00,3734.00,156,0\r\n2006-02-14,10:43:00,3735.00,3736.00,3735.00,3735.00,422,0\r\n2006-02-14,10:44:00,3735.00,3736.00,3734.00,3735.00,304,0\r\n2006-02-14,10:45:00,3735.00,3735.00,3734.00,3734.00,641,0\r\n2006-02-14,10:46:00,3733.00,3734.00,3730.00,3731.00,3229,0\r\n2006-02-14,10:47:00,3731.00,3732.00,3730.00,3731.00,466,0\r\n2006-02-14,10:48:00,3731.00,3731.00,3729.00,3731.00,2371,0\r\n2006-02-14,10:49:00,3731.00,3731.00,3727.00,3727.00,1060,0\r\n2006-02-14,10:50:00,3728.00,3728.00,3727.00,3727.00,2311,0\r\n2006-02-14,10:51:00,3727.00,3728.00,3727.00,3728.00,1253,0\r\n2006-02-14,10:52:00,3728.00,3729.00,3727.00,3729.00,559,0\r\n2006-02-14,10:53:00,3729.00,3729.00,3729.00,3729.00,1295,0\r\n2006-02-14,10:54:00,3730.00,3730.00,3729.00,3730.00,154,0\r\n2006-02-14,10:55:00,3730.00,3730.00,3728.00,3730.00,498,0\r\n2006-02-14,10:56:00,3729.00,3730.00,3729.00,3729.00,250,0\r\n2006-02-14,10:57:00,3729.00,3730.00,3729.00,3730.00,470,0\r\n2006-02-14,10:58:00,3729.00,3730.00,3729.00,3730.00,271,0\r\n2006-02-14,10:59:00,3730.00,3730.00,3728.00,3729.00,1274,0\r\n2006-02-14,11:00:00,3729.00,3729.00,3728.00,3728.00,422,0\r\n2006-02-14,11:01:00,3728.00,3730.00,3727.00,3729.00,1400,0\r\n2006-02-14,11:02:00,3729.00,3731.00,3728.00,3730.00,2044,0\r\n2006-02-14,11:03:00,3730.00,3730.00,3728.00,3729.00,1093,0\r\n2006-02-14,11:04:00,3729.00,3729.00,3729.00,3729.00,446,0\r\n2006-02-14,11:05:00,3729.00,3730.00,3726.00,3726.00,1878,0\r\n2006-02-14,11:06:00,3727.00,3728.00,3727.00,3728.00,172,0\r\n2006-02-14,11:07:00,3727.00,3729.00,3726.00,3727.00,1056,0\r\n2006-02-14,11:08:00,3727.00,3728.00,3726.00,3727.00,1183,0\r\n2006-02-14,11:09:00,3727.00,3729.00,3727.00,3728.00,859,0\r\n2006-02-14,11:10:00,3728.00,3729.00,3727.00,3728.00,890,0\r\n2006-02-14,11:11:00,3728.00,3728.00,3726.00,3726.00,322,0\r\n2006-02-14,11:12:00,3726.00,3727.00,3725.00,3726.00,2798,0\r\n2006-02-14,11:13:00,3726.00,3727.00,3725.00,3726.00,1143,0\r\n2006-02-14,11:14:00,3726.00,3726.00,3724.00,3725.00,1518,0\r\n2006-02-14,11:15:00,3726.00,3726.00,3724.00,3724.00,1766,0\r\n2006-02-14,11:16:00,3725.00,3725.00,3724.00,3724.00,365,0\r\n2006-02-14,11:17:00,3724.00,3724.00,3723.00,3724.00,2091,0\r\n2006-02-14,11:18:00,3724.00,3724.00,3723.00,3723.00,536,0\r\n2006-02-14,11:19:00,3724.00,3724.00,3722.00,3723.00,1776,0\r\n2006-02-14,11:20:00,3723.00,3724.00,3722.00,3723.00,639,0\r\n2006-02-14,11:21:00,3724.00,3724.00,3723.00,3723.00,2173,0\r\n2006-02-14,11:22:00,3723.00,3724.00,3722.00,3723.00,1196,0\r\n2006-02-14,11:23:00,3722.00,3723.00,3722.00,3723.00,425,0\r\n2006-02-14,11:24:00,3723.00,3723.00,3721.00,3721.00,4555,0\r\n2006-02-14,11:25:00,3722.00,3723.00,3721.00,3723.00,2687,0\r\n2006-02-14,11:26:00,3723.00,3723.00,3722.00,3723.00,780,0\r\n2006-02-14,11:27:00,3723.00,3723.00,3722.00,3723.00,709,0\r\n2006-02-14,11:28:00,3723.00,3723.00,3722.00,3723.00,556,0\r\n2006-02-14,11:29:00,3723.00,3723.00,3722.00,3722.00,285,0\r\n2006-02-14,11:30:00,3722.00,3723.00,3722.00,3722.00,249,0\r\n2006-02-14,11:31:00,3722.00,3723.00,3721.00,3721.00,534,0\r\n2006-02-14,11:32:00,3722.00,3722.00,3721.00,3722.00,886,0\r\n2006-02-14,11:33:00,3722.00,3722.00,3720.00,3720.00,1362,0\r\n2006-02-14,11:34:00,3720.00,3723.00,3720.00,3723.00,1184,0\r\n2006-02-14,11:35:00,3722.00,3724.00,3722.00,3723.00,1783,0\r\n2006-02-14,11:36:00,3724.00,3724.00,3723.00,3724.00,72,0\r\n2006-02-14,11:37:00,3724.00,3725.00,3723.00,3724.00,1387,0\r\n2006-02-14,11:38:00,3724.00,3725.00,3724.00,3724.00,852,0\r\n2006-02-14,11:39:00,3724.00,3727.00,3724.00,3726.00,1704,0\r\n2006-02-14,11:40:00,3726.00,3727.00,3726.00,3727.00,1461,0\r\n2006-02-14,11:41:00,3727.00,3728.00,3726.00,3726.00,740,0\r\n2006-02-14,11:42:00,3726.00,3727.00,3725.00,3725.00,1059,0\r\n2006-02-14,11:43:00,3724.00,3726.00,3724.00,3726.00,1033,0\r\n2006-02-14,11:44:00,3726.00,3726.00,3725.00,3726.00,322,0\r\n2006-02-14,11:45:00,3726.00,3726.00,3725.00,3725.00,913,0\r\n2006-02-14,11:46:00,3724.00,3725.00,3723.00,3724.00,1012,0\r\n2006-02-14,11:47:00,3723.00,3724.00,3723.00,3724.00,430,0\r\n2006-02-14,11:48:00,3724.00,3724.00,3723.00,3723.00,684,0\r\n2006-02-14,11:49:00,3723.00,3723.00,3723.00,3723.00,42,0\r\n2006-02-14,11:50:00,3723.00,3723.00,3723.00,3723.00,403,0\r\n2006-02-14,11:51:00,3724.00,3724.00,3723.00,3723.00,1030,0\r\n2006-02-14,11:52:00,3723.00,3724.00,3723.00,3724.00,232,0\r\n2006-02-14,11:53:00,3723.00,3724.00,3723.00,3724.00,125,0\r\n2006-02-14,11:54:00,3724.00,3724.00,3723.00,3724.00,424,0\r\n2006-02-14,11:55:00,3724.00,3725.00,3723.00,3724.00,532,0\r\n2006-02-14,11:56:00,3724.00,3725.00,3724.00,3725.00,318,0\r\n2006-02-14,11:57:00,3725.00,3726.00,3724.00,3725.00,253,0\r\n2006-02-14,11:58:00,3725.00,3725.00,3724.00,3725.00,297,0\r\n2006-02-14,11:59:00,3725.00,3725.00,3724.00,3725.00,495,0\r\n2006-02-14,12:00:00,3724.00,3726.00,3724.00,3726.00,1180,0\r\n2006-02-14,12:01:00,3725.00,3725.00,3724.00,3725.00,313,0\r\n2006-02-14,12:02:00,3725.00,3725.00,3724.00,3725.00,45,0\r\n2006-02-14,12:03:00,3725.00,3726.00,3724.00,3726.00,502,0\r\n2006-02-14,12:04:00,3725.00,3726.00,3725.00,3725.00,599,0\r\n2006-02-14,12:05:00,3725.00,3726.00,3725.00,3725.00,398,0\r\n2006-02-14,12:06:00,3725.00,3726.00,3725.00,3725.00,323,0\r\n2006-02-14,12:07:00,3725.00,3726.00,3725.00,3725.00,270,0\r\n2006-02-14,12:08:00,3724.00,3724.00,3724.00,3724.00,155,0\r\n2006-02-14,12:09:00,3724.00,3725.00,3722.00,3723.00,714,0\r\n2006-02-14,12:10:00,3723.00,3723.00,3723.00,3723.00,109,0\r\n2006-02-14,12:11:00,3722.00,3724.00,3722.00,3724.00,420,0\r\n2006-02-14,12:12:00,3724.00,3724.00,3724.00,3724.00,102,0\r\n2006-02-14,12:13:00,3724.00,3725.00,3724.00,3724.00,489,0\r\n2006-02-14,12:14:00,3724.00,3724.00,3722.00,3724.00,732,0\r\n2006-02-14,12:15:00,3723.00,3724.00,3723.00,3724.00,94,0\r\n2006-02-14,12:16:00,3723.00,3723.00,3723.00,3723.00,56,0\r\n2006-02-14,12:17:00,3723.00,3723.00,3721.00,3721.00,961,0\r\n2006-02-14,12:18:00,3721.00,3721.00,3721.00,3721.00,2,0\r\n2006-02-14,12:19:00,3721.00,3722.00,3721.00,3721.00,647,0\r\n2006-02-14,12:20:00,3721.00,3722.00,3720.00,3722.00,201,0\r\n2006-02-14,12:21:00,3721.00,3722.00,3721.00,3721.00,49,0\r\n2006-02-14,12:22:00,3722.00,3722.00,3721.00,3722.00,219,0\r\n2006-02-14,12:23:00,3722.00,3722.00,3722.00,3722.00,3075,0\r\n2006-02-14,12:24:00,3722.00,3723.00,3722.00,3723.00,593,0\r\n2006-02-14,12:25:00,3723.00,3724.00,3722.00,3723.00,153,0\r\n2006-02-14,12:26:00,3723.00,3724.00,3722.00,3722.00,331,0\r\n2006-02-14,12:27:00,3722.00,3723.00,3722.00,3723.00,27,0\r\n2006-02-14,12:28:00,3723.00,3723.00,3721.00,3722.00,2044,0\r\n2006-02-14,12:29:00,3723.00,3723.00,3723.00,3723.00,3,0\r\n2006-02-14,12:30:00,3723.00,3723.00,3722.00,3723.00,123,0\r\n2006-02-14,12:31:00,3722.00,3723.00,3722.00,3723.00,1267,0\r\n2006-02-14,12:32:00,3722.00,3722.00,3722.00,3722.00,55,0\r\n2006-02-14,12:33:00,3722.00,3723.00,3722.00,3722.00,167,0\r\n2006-02-14,12:34:00,3722.00,3722.00,3722.00,3722.00,84,0\r\n2006-02-14,12:35:00,3722.00,3723.00,3722.00,3723.00,226,0\r\n2006-02-14,12:36:00,3722.00,3723.00,3722.00,3723.00,194,0\r\n2006-02-14,12:37:00,3724.00,3724.00,3723.00,3724.00,10,0\r\n2006-02-14,12:38:00,3724.00,3724.00,3722.00,3722.00,208,0\r\n2006-02-14,12:39:00,3723.00,3723.00,3723.00,3723.00,85,0\r\n2006-02-14,12:40:00,3723.00,3724.00,3723.00,3724.00,567,0\r\n2006-02-14,12:41:00,3725.00,3726.00,3725.00,3725.00,373,0\r\n2006-02-14,12:42:00,3726.00,3726.00,3725.00,3725.00,313,0\r\n2006-02-14,12:43:00,3726.00,3727.00,3725.00,3727.00,607,0\r\n2006-02-14,12:44:00,3727.00,3727.00,3727.00,3727.00,63,0\r\n2006-02-14,12:45:00,3727.00,3728.00,3727.00,3728.00,719,0\r\n2006-02-14,12:46:00,3728.00,3728.00,3727.00,3728.00,128,0\r\n2006-02-14,12:47:00,3728.00,3731.00,3728.00,3730.00,2177,0\r\n2006-02-14,12:48:00,3730.00,3730.00,3728.00,3729.00,1231,0\r\n2006-02-14,12:49:00,3729.00,3731.00,3728.00,3730.00,3503,0\r\n2006-02-14,12:50:00,3730.00,3731.00,3730.00,3731.00,927,0\r\n2006-02-14,12:51:00,3731.00,3732.00,3731.00,3731.00,833,0\r\n2006-02-14,12:52:00,3731.00,3731.00,3730.00,3730.00,288,0\r\n2006-02-14,12:53:00,3731.00,3732.00,3731.00,3732.00,215,0\r\n2006-02-14,12:54:00,3731.00,3731.00,3730.00,3730.00,307,0\r\n2006-02-14,12:55:00,3731.00,3731.00,3731.00,3731.00,113,0\r\n2006-02-14,12:56:00,3731.00,3731.00,3729.00,3730.00,549,0\r\n2006-02-14,12:57:00,3730.00,3731.00,3729.00,3729.00,190,0\r\n2006-02-14,12:58:00,3729.00,3729.00,3729.00,3729.00,206,0\r\n2006-02-14,12:59:00,3729.00,3730.00,3729.00,3730.00,33,0\r\n2006-02-14,13:00:00,3729.00,3730.00,3729.00,3729.00,32,0\r\n2006-02-14,13:01:00,3730.00,3730.00,3729.00,3729.00,159,0\r\n2006-02-14,13:02:00,3730.00,3730.00,3729.00,3729.00,36,0\r\n2006-02-14,13:03:00,3729.00,3730.00,3729.00,3729.00,69,0\r\n2006-02-14,13:04:00,3730.00,3731.00,3729.00,3730.00,671,0\r\n2006-02-14,13:05:00,3730.00,3730.00,3729.00,3730.00,192,0\r\n2006-02-14,13:06:00,3730.00,3730.00,3729.00,3729.00,483,0\r\n2006-02-14,13:07:00,3729.00,3729.00,3729.00,3729.00,140,0\r\n2006-02-14,13:08:00,3729.00,3729.00,3729.00,3729.00,58,0\r\n2006-02-14,13:09:00,3729.00,3729.00,3729.00,3729.00,2008,0\r\n2006-02-14,13:10:00,3729.00,3729.00,3728.00,3728.00,7,0\r\n2006-02-14,13:11:00,3729.00,3729.00,3728.00,3729.00,93,0\r\n2006-02-14,13:12:00,3729.00,3729.00,3729.00,3729.00,1009,0\r\n2006-02-14,13:13:00,3729.00,3729.00,3729.00,3729.00,645,0\r\n2006-02-14,13:14:00,3729.00,3729.00,3729.00,3729.00,4,0\r\n2006-02-14,13:15:00,3730.00,3730.00,3730.00,3730.00,1,0\r\n2006-02-14,13:16:00,3730.00,3730.00,3729.00,3729.00,148,0\r\n2006-02-14,13:17:00,3730.00,3730.00,3729.00,3729.00,54,0\r\n2006-02-14,13:18:00,3729.00,3729.00,3729.00,3729.00,41,0\r\n2006-02-14,13:20:00,3728.00,3729.00,3728.00,3728.00,65,0\r\n2006-02-14,13:21:00,3729.00,3729.00,3729.00,3729.00,1496,0\r\n2006-02-14,13:22:00,3728.00,3729.00,3728.00,3729.00,32,0\r\n2006-02-14,13:23:00,3729.00,3729.00,3728.00,3729.00,137,0\r\n2006-02-14,13:24:00,3729.00,3730.00,3729.00,3729.00,258,0\r\n2006-02-14,13:25:00,3729.00,3730.00,3729.00,3730.00,21,0\r\n2006-02-14,13:26:00,3730.00,3730.00,3729.00,3729.00,1744,0\r\n2006-02-14,13:27:00,3729.00,3730.00,3729.00,3729.00,348,0\r\n2006-02-14,13:28:00,3729.00,3729.00,3729.00,3729.00,33,0\r\n2006-02-14,13:29:00,3729.00,3729.00,3729.00,3729.00,1,0\r\n2006-02-14,13:30:00,3729.00,3729.00,3729.00,3729.00,6,0\r\n2006-02-14,13:31:00,3729.00,3729.00,3729.00,3729.00,101,0\r\n2006-02-14,13:32:00,3729.00,3729.00,3728.00,3728.00,97,0\r\n2006-02-14,13:33:00,3729.00,3730.00,3729.00,3729.00,958,0\r\n2006-02-14,13:34:00,3729.00,3730.00,3729.00,3729.00,29,0\r\n2006-02-14,13:35:00,3729.00,3729.00,3729.00,3729.00,59,0\r\n2006-02-14,13:36:00,3729.00,3729.00,3728.00,3729.00,199,0\r\n2006-02-14,13:37:00,3730.00,3730.00,3729.00,3729.00,172,0\r\n2006-02-14,13:38:00,3729.00,3729.00,3729.00,3729.00,22,0\r\n2006-02-14,13:39:00,3729.00,3729.00,3729.00,3729.00,130,0\r\n2006-02-14,13:40:00,3729.00,3729.00,3729.00,3729.00,4,0\r\n2006-02-14,13:41:00,3729.00,3729.00,3729.00,3729.00,17,0\r\n2006-02-14,13:42:00,3729.00,3729.00,3729.00,3729.00,517,0\r\n2006-02-14,13:43:00,3730.00,3730.00,3729.00,3729.00,13,0\r\n2006-02-14,13:44:00,3729.00,3730.00,3729.00,3730.00,101,0\r\n2006-02-14,13:45:00,3730.00,3732.00,3730.00,3732.00,1392,0\r\n2006-02-14,13:46:00,3731.00,3731.00,3730.00,3731.00,1040,0\r\n2006-02-14,13:47:00,3731.00,3731.00,3730.00,3731.00,24,0\r\n2006-02-14,13:48:00,3731.00,3731.00,3730.00,3730.00,334,0\r\n2006-02-14,13:49:00,3730.00,3730.00,3730.00,3730.00,50,0\r\n2006-02-14,13:50:00,3729.00,3730.00,3729.00,3730.00,117,0\r\n2006-02-14,13:51:00,3730.00,3730.00,3730.00,3730.00,2,0\r\n2006-02-14,13:52:00,3729.00,3730.00,3729.00,3730.00,58,0\r\n2006-02-14,13:53:00,3730.00,3730.00,3730.00,3730.00,21,0\r\n2006-02-14,13:54:00,3729.00,3731.00,3729.00,3731.00,624,0\r\n2006-02-14,13:55:00,3731.00,3732.00,3731.00,3731.00,382,0\r\n2006-02-14,13:56:00,3731.00,3731.00,3731.00,3731.00,130,0\r\n2006-02-14,13:57:00,3731.00,3731.00,3730.00,3730.00,45,0\r\n2006-02-14,13:58:00,3730.00,3730.00,3730.00,3730.00,96,0\r\n2006-02-14,13:59:00,3730.00,3730.00,3730.00,3730.00,51,0\r\n2006-02-14,14:00:00,3730.00,3730.00,3729.00,3729.00,51,0\r\n2006-02-14,14:01:00,3730.00,3730.00,3729.00,3729.00,54,0\r\n2006-02-14,14:02:00,3729.00,3729.00,3729.00,3729.00,335,0\r\n2006-02-14,14:03:00,3728.00,3729.00,3728.00,3728.00,411,0\r\n2006-02-14,14:04:00,3729.00,3729.00,3729.00,3729.00,367,0\r\n2006-02-14,14:05:00,3730.00,3730.00,3730.00,3730.00,14,0\r\n2006-02-14,14:06:00,3729.00,3729.00,3728.00,3728.00,720,0\r\n2006-02-14,14:07:00,3728.00,3729.00,3728.00,3728.00,270,0\r\n2006-02-14,14:08:00,3729.00,3729.00,3728.00,3729.00,346,0\r\n2006-02-14,14:09:00,3729.00,3729.00,3729.00,3729.00,28,0\r\n2006-02-14,14:10:00,3728.00,3729.00,3728.00,3729.00,39,0\r\n2006-02-14,14:11:00,3728.00,3728.00,3725.00,3726.00,1755,0\r\n2006-02-14,14:12:00,3726.00,3727.00,3725.00,3726.00,2593,0\r\n2006-02-14,14:13:00,3727.00,3727.00,3727.00,3727.00,31,0\r\n2006-02-14,14:14:00,3727.00,3728.00,3727.00,3727.00,646,0\r\n2006-02-14,14:15:00,3727.00,3727.00,3727.00,3727.00,35,0\r\n2006-02-14,14:16:00,3726.00,3726.00,3725.00,3725.00,282,0\r\n2006-02-14,14:17:00,3726.00,3727.00,3725.00,3727.00,436,0\r\n2006-02-14,14:18:00,3728.00,3729.00,3727.00,3729.00,450,0\r\n2006-02-14,14:19:00,3728.00,3728.00,3727.00,3728.00,800,0\r\n2006-02-14,14:20:00,3728.00,3728.00,3727.00,3728.00,49,0\r\n2006-02-14,14:21:00,3728.00,3729.00,3727.00,3728.00,541,0\r\n2006-02-14,14:22:00,3729.00,3730.00,3728.00,3728.00,1403,0\r\n2006-02-14,14:23:00,3728.00,3729.00,3728.00,3728.00,163,0\r\n2006-02-14,14:25:00,3729.00,3730.00,3729.00,3729.00,226,0\r\n2006-02-14,14:26:00,3730.00,3730.00,3729.00,3729.00,309,0\r\n2006-02-14,14:27:00,3729.00,3730.00,3729.00,3730.00,665,0\r\n2006-02-14,14:28:00,3730.00,3730.00,3729.00,3729.00,270,0\r\n2006-02-14,14:29:00,3730.00,3730.00,3729.00,3729.00,107,0\r\n2006-02-14,14:30:00,3729.00,3729.00,3729.00,3729.00,197,0\r\n2006-02-14,14:31:00,3729.00,3735.00,3729.00,3734.00,7854,0\r\n2006-02-14,14:32:00,3734.00,3734.00,3728.00,3729.00,3429,0\r\n2006-02-14,14:33:00,3728.00,3729.00,3725.00,3728.00,3302,0\r\n2006-02-14,14:34:00,3728.00,3730.00,3727.00,3729.00,2584,0\r\n2006-02-14,14:35:00,3729.00,3730.00,3726.00,3728.00,4353,0\r\n2006-02-14,14:36:00,3728.00,3732.00,3728.00,3731.00,1830,0\r\n2006-02-14,14:37:00,3732.00,3732.00,3731.00,3731.00,1640,0\r\n2006-02-14,14:38:00,3731.00,3731.00,3729.00,3730.00,718,0\r\n2006-02-14,14:39:00,3730.00,3730.00,3730.00,3730.00,428,0\r\n2006-02-14,14:40:00,3730.00,3730.00,3729.00,3730.00,257,0\r\n2006-02-14,14:41:00,3731.00,3732.00,3731.00,3731.00,268,0\r\n2006-02-14,14:42:00,3731.00,3732.00,3731.00,3731.00,511,0\r\n2006-02-14,14:43:00,3732.00,3735.00,3732.00,3735.00,1608,0\r\n2006-02-14,14:44:00,3734.00,3735.00,3734.00,3734.00,1737,0\r\n2006-02-14,14:45:00,3734.00,3735.00,3732.00,3732.00,1211,0\r\n2006-02-14,14:46:00,3732.00,3733.00,3732.00,3733.00,297,0\r\n2006-02-14,14:47:00,3732.00,3732.00,3730.00,3730.00,809,0\r\n2006-02-14,14:48:00,3730.00,3732.00,3730.00,3731.00,199,0\r\n2006-02-14,14:49:00,3731.00,3733.00,3731.00,3732.00,293,0\r\n2006-02-14,14:50:00,3732.00,3733.00,3732.00,3733.00,4059,0\r\n2006-02-14,14:51:00,3732.00,3732.00,3731.00,3731.00,97,0\r\n2006-02-14,14:52:00,3732.00,3732.00,3730.00,3731.00,285,0\r\n2006-02-14,14:53:00,3731.00,3731.00,3730.00,3730.00,201,0\r\n2006-02-14,14:54:00,3730.00,3730.00,3727.00,3728.00,2742,0\r\n2006-02-14,14:55:00,3728.00,3729.00,3726.00,3726.00,1972,0\r\n2006-02-14,14:56:00,3726.00,3728.00,3725.00,3728.00,814,0\r\n2006-02-14,14:57:00,3728.00,3729.00,3728.00,3728.00,1018,0\r\n2006-02-14,14:58:00,3728.00,3729.00,3727.00,3728.00,300,0\r\n2006-02-14,14:59:00,3728.00,3728.00,3727.00,3728.00,230,0\r\n2006-02-14,15:00:00,3729.00,3729.00,3727.00,3727.00,338,0\r\n2006-02-14,15:01:00,3727.00,3727.00,3723.00,3723.00,2589,0\r\n2006-02-14,15:02:00,3724.00,3725.00,3723.00,3724.00,606,0\r\n2006-02-14,15:03:00,3723.00,3724.00,3722.00,3722.00,1366,0\r\n2006-02-14,15:04:00,3722.00,3724.00,3721.00,3724.00,1808,0\r\n2006-02-14,15:05:00,3724.00,3725.00,3723.00,3725.00,733,0\r\n2006-02-14,15:06:00,3725.00,3727.00,3725.00,3726.00,1310,0\r\n2006-02-14,15:07:00,3725.00,3727.00,3725.00,3727.00,358,0\r\n2006-02-14,15:08:00,3726.00,3726.00,3722.00,3722.00,3289,0\r\n2006-02-14,15:09:00,3722.00,3725.00,3722.00,3724.00,4112,0\r\n2006-02-14,15:10:00,3724.00,3725.00,3723.00,3725.00,517,0\r\n2006-02-14,15:11:00,3726.00,3726.00,3726.00,3726.00,126,0\r\n2006-02-14,15:12:00,3725.00,3725.00,3725.00,3725.00,329,0\r\n2006-02-14,15:13:00,3725.00,3725.00,3725.00,3725.00,66,0\r\n2006-02-14,15:14:00,3725.00,3725.00,3725.00,3725.00,18,0\r\n2006-02-14,15:15:00,3725.00,3725.00,3724.00,3724.00,401,0\r\n2006-02-14,15:16:00,3724.00,3724.00,3723.00,3724.00,287,0\r\n2006-02-14,15:17:00,3724.00,3724.00,3721.00,3721.00,1160,0\r\n2006-02-14,15:18:00,3721.00,3724.00,3721.00,3723.00,1057,0\r\n2006-02-14,15:19:00,3723.00,3723.00,3722.00,3723.00,334,0\r\n2006-02-14,15:20:00,3722.00,3723.00,3722.00,3723.00,389,0\r\n2006-02-14,15:21:00,3723.00,3723.00,3723.00,3723.00,5,0\r\n2006-02-14,15:22:00,3723.00,3723.00,3722.00,3723.00,125,0\r\n2006-02-14,15:23:00,3723.00,3724.00,3723.00,3724.00,433,0\r\n2006-02-14,15:24:00,3724.00,3725.00,3723.00,3724.00,312,0\r\n2006-02-14,15:25:00,3725.00,3725.00,3724.00,3724.00,133,0\r\n2006-02-14,15:26:00,3724.00,3725.00,3724.00,3724.00,162,0\r\n2006-02-14,15:27:00,3724.00,3725.00,3724.00,3724.00,351,0\r\n2006-02-14,15:28:00,3724.00,3724.00,3723.00,3724.00,854,0\r\n2006-02-14,15:29:00,3724.00,3725.00,3724.00,3725.00,171,0\r\n2006-02-14,15:30:00,3725.00,3725.00,3723.00,3723.00,365,0\r\n2006-02-14,15:31:00,3724.00,3725.00,3724.00,3725.00,380,0\r\n2006-02-14,15:32:00,3725.00,3727.00,3724.00,3727.00,1574,0\r\n2006-02-14,15:33:00,3727.00,3728.00,3724.00,3724.00,1122,0\r\n2006-02-14,15:34:00,3724.00,3727.00,3724.00,3727.00,782,0\r\n2006-02-14,15:35:00,3726.00,3726.00,3725.00,3725.00,475,0\r\n2006-02-14,15:36:00,3725.00,3725.00,3723.00,3723.00,1265,0\r\n2006-02-14,15:37:00,3723.00,3724.00,3722.00,3724.00,1898,0\r\n2006-02-14,15:38:00,3724.00,3725.00,3722.00,3722.00,688,0\r\n2006-02-14,15:39:00,3722.00,3722.00,3717.00,3718.00,8111,0\r\n2006-02-14,15:40:00,3718.00,3718.00,3714.00,3717.00,6291,0\r\n2006-02-14,15:41:00,3716.00,3717.00,3713.00,3717.00,4959,0\r\n2006-02-14,15:42:00,3716.00,3719.00,3716.00,3718.00,2273,0\r\n2006-02-14,15:43:00,3718.00,3720.00,3718.00,3719.00,982,0\r\n2006-02-14,15:44:00,3719.00,3719.00,3718.00,3719.00,645,0\r\n2006-02-14,15:45:00,3719.00,3720.00,3717.00,3717.00,2271,0\r\n2006-02-14,15:46:00,3717.00,3718.00,3714.00,3717.00,4178,0\r\n2006-02-14,15:47:00,3716.00,3717.00,3713.00,3713.00,2543,0\r\n2006-02-14,15:48:00,3713.00,3718.00,3713.00,3718.00,3525,0\r\n2006-02-14,15:49:00,3718.00,3719.00,3716.00,3717.00,2632,0\r\n2006-02-14,15:50:00,3717.00,3718.00,3715.00,3716.00,3031,0\r\n2006-02-14,15:51:00,3716.00,3718.00,3714.00,3714.00,1864,0\r\n2006-02-14,15:52:00,3715.00,3717.00,3715.00,3717.00,901,0\r\n2006-02-14,15:53:00,3717.00,3719.00,3717.00,3719.00,850,0\r\n2006-02-14,15:54:00,3720.00,3722.00,3719.00,3721.00,2398,0\r\n2006-02-14,15:55:00,3721.00,3724.00,3721.00,3723.00,5015,0\r\n2006-02-14,15:56:00,3724.00,3728.00,3724.00,3727.00,4926,0\r\n2006-02-14,15:57:00,3727.00,3730.00,3727.00,3728.00,4481,0\r\n2006-02-14,15:58:00,3727.00,3729.00,3726.00,3728.00,2904,0\r\n2006-02-14,15:59:00,3728.00,3730.00,3727.00,3727.00,1936,0\r\n2006-02-14,16:00:00,3728.00,3729.00,3726.00,3729.00,2445,0\r\n2006-02-14,16:01:00,3729.00,3732.00,3728.00,3730.00,5734,0\r\n2006-02-14,16:02:00,3730.00,3731.00,3729.00,3729.00,1887,0\r\n2006-02-14,16:03:00,3730.00,3730.00,3727.00,3727.00,2447,0\r\n2006-02-14,16:04:00,3728.00,3729.00,3727.00,3728.00,3863,0\r\n2006-02-14,16:05:00,3727.00,3728.00,3727.00,3728.00,934,0\r\n2006-02-14,16:06:00,3728.00,3729.00,3727.00,3728.00,1245,0\r\n2006-02-14,16:07:00,3728.00,3730.00,3728.00,3730.00,2411,0\r\n2006-02-14,16:08:00,3730.00,3730.00,3729.00,3729.00,1034,0\r\n2006-02-14,16:09:00,3728.00,3729.00,3726.00,3728.00,999,0\r\n2006-02-14,16:10:00,3728.00,3729.00,3727.00,3728.00,1994,0\r\n2006-02-14,16:11:00,3729.00,3731.00,3729.00,3730.00,1234,0\r\n2006-02-14,16:12:00,3730.00,3730.00,3726.00,3728.00,2881,0\r\n2006-02-14,16:13:00,3729.00,3731.00,3727.00,3730.00,1763,0\r\n2006-02-14,16:14:00,3729.00,3731.00,3729.00,3730.00,1561,0\r\n2006-02-14,16:15:00,3730.00,3732.00,3729.00,3731.00,2786,0\r\n2006-02-14,16:16:00,3732.00,3734.00,3731.00,3732.00,1685,0\r\n2006-02-14,16:17:00,3732.00,3732.00,3728.00,3730.00,1814,0\r\n2006-02-14,16:18:00,3730.00,3733.00,3730.00,3732.00,3883,0\r\n2006-02-14,16:19:00,3732.00,3733.00,3729.00,3730.00,1355,0\r\n2006-02-14,16:20:00,3730.00,3732.00,3729.00,3730.00,1555,0\r\n2006-02-14,16:21:00,3729.00,3732.00,3728.00,3732.00,1465,0\r\n2006-02-14,16:22:00,3732.00,3732.00,3727.00,3727.00,1497,0\r\n2006-02-14,16:23:00,3727.00,3729.00,3727.00,3728.00,1854,0\r\n2006-02-14,16:24:00,3729.00,3729.00,3728.00,3729.00,1018,0\r\n2006-02-14,16:25:00,3728.00,3729.00,3728.00,3728.00,1091,0\r\n2006-02-14,16:26:00,3728.00,3730.00,3727.00,3729.00,758,0\r\n2006-02-14,16:27:00,3728.00,3730.00,3728.00,3729.00,610,0\r\n2006-02-14,16:28:00,3729.00,3730.00,3728.00,3729.00,1064,0\r\n2006-02-14,16:29:00,3729.00,3730.00,3728.00,3729.00,806,0\r\n2006-02-14,16:30:00,3728.00,3728.00,3728.00,3728.00,49,0\r\n2006-02-14,16:31:00,3728.00,3728.00,3727.00,3728.00,637,0\r\n2006-02-14,16:32:00,3728.00,3728.00,3725.00,3725.00,2147,0\r\n2006-02-14,16:33:00,3726.00,3726.00,3724.00,3726.00,2514,0\r\n2006-02-14,16:34:00,3725.00,3725.00,3723.00,3725.00,1817,0\r\n2006-02-14,16:35:00,3725.00,3727.00,3725.00,3725.00,1321,0\r\n2006-02-14,16:36:00,3725.00,3725.00,3722.00,3723.00,2969,0\r\n2006-02-14,16:37:00,3722.00,3723.00,3721.00,3723.00,2377,0\r\n2006-02-14,16:38:00,3723.00,3724.00,3722.00,3723.00,940,0\r\n2006-02-14,16:39:00,3724.00,3724.00,3723.00,3724.00,1055,0\r\n2006-02-14,16:40:00,3724.00,3725.00,3722.00,3722.00,5639,0\r\n2006-02-14,16:41:00,3721.00,3723.00,3721.00,3723.00,1832,0\r\n2006-02-14,16:42:00,3723.00,3725.00,3723.00,3725.00,1430,0\r\n2006-02-14,16:43:00,3725.00,3726.00,3723.00,3724.00,1810,0\r\n2006-02-14,16:44:00,3724.00,3726.00,3723.00,3725.00,458,0\r\n2006-02-14,16:45:00,3726.00,3726.00,3724.00,3725.00,763,0\r\n2006-02-14,16:46:00,3725.00,3729.00,3724.00,3728.00,1812,0\r\n2006-02-14,16:47:00,3728.00,3729.00,3725.00,3725.00,1931,0\r\n2006-02-14,16:48:00,3725.00,3727.00,3724.00,3727.00,1923,0\r\n2006-02-14,16:49:00,3727.00,3728.00,3726.00,3726.00,1252,0\r\n2006-02-14,16:50:00,3726.00,3727.00,3724.00,3726.00,1371,0\r\n2006-02-14,16:51:00,3726.00,3727.00,3725.00,3727.00,639,0\r\n2006-02-14,16:52:00,3727.00,3727.00,3725.00,3726.00,893,0\r\n2006-02-14,16:53:00,3726.00,3728.00,3725.00,3727.00,2097,0\r\n2006-02-14,16:54:00,3727.00,3727.00,3725.00,3726.00,1205,0\r\n2006-02-14,16:55:00,3727.00,3730.00,3726.00,3726.00,2822,0\r\n2006-02-14,16:56:00,3726.00,3728.00,3726.00,3727.00,372,0\r\n2006-02-14,16:57:00,3727.00,3730.00,3727.00,3727.00,1089,0\r\n2006-02-14,16:58:00,3727.00,3728.00,3725.00,3725.00,1097,0\r\n2006-02-14,16:59:00,3726.00,3727.00,3726.00,3726.00,860,0\r\n2006-02-14,17:00:00,3726.00,3731.00,3726.00,3730.00,2067,0\r\n2006-02-14,17:01:00,3731.00,3731.00,3728.00,3729.00,1612,0\r\n2006-02-14,17:02:00,3729.00,3730.00,3728.00,3729.00,2441,0\r\n2006-02-14,17:03:00,3730.00,3731.00,3729.00,3730.00,1757,0\r\n2006-02-14,17:04:00,3730.00,3732.00,3730.00,3731.00,2370,0\r\n2006-02-14,17:05:00,3731.00,3732.00,3731.00,3732.00,2230,0\r\n2006-02-14,17:06:00,3732.00,3733.00,3731.00,3733.00,2072,0\r\n2006-02-14,17:07:00,3733.00,3737.00,3733.00,3736.00,5396,0\r\n2006-02-14,17:08:00,3736.00,3737.00,3734.00,3735.00,2479,0\r\n2006-02-14,17:09:00,3735.00,3735.00,3733.00,3734.00,1951,0\r\n2006-02-14,17:10:00,3734.00,3735.00,3733.00,3733.00,2402,0\r\n2006-02-14,17:11:00,3733.00,3734.00,3733.00,3734.00,1957,0\r\n2006-02-14,17:12:00,3733.00,3733.00,3732.00,3732.00,814,0\r\n2006-02-14,17:13:00,3733.00,3736.00,3733.00,3736.00,2144,0\r\n2006-02-14,17:14:00,3736.00,3736.00,3734.00,3736.00,2511,0\r\n2006-02-14,17:15:00,3735.00,3737.00,3735.00,3736.00,2230,0\r\n2006-02-14,17:16:00,3736.00,3737.00,3735.00,3737.00,2708,0\r\n2006-02-14,17:17:00,3738.00,3740.00,3737.00,3739.00,3530,0\r\n2006-02-14,17:18:00,3739.00,3740.00,3738.00,3738.00,2601,0\r\n2006-02-14,17:19:00,3739.00,3739.00,3738.00,3738.00,2114,0\r\n2006-02-14,17:20:00,3738.00,3741.00,3738.00,3740.00,3559,0\r\n2006-02-14,17:21:00,3739.00,3743.00,3739.00,3742.00,3109,0\r\n2006-02-14,17:22:00,3742.00,3743.00,3741.00,3743.00,2961,0\r\n2006-02-14,17:23:00,3742.00,3743.00,3740.00,3742.00,3010,0\r\n2006-02-14,17:24:00,3741.00,3745.00,3741.00,3744.00,2893,0\r\n2006-02-14,17:25:00,3744.00,3745.00,3743.00,3743.00,2374,0\r\n2006-02-14,17:26:00,3743.00,3745.00,3743.00,3744.00,1074,0\r\n2006-02-14,17:27:00,3745.00,3745.00,3744.00,3744.00,3001,0\r\n2006-02-14,17:28:00,3744.00,3744.00,3743.00,3744.00,2147,0\r\n2006-02-14,17:29:00,3744.00,3745.00,3743.00,3743.00,2254,0\r\n2006-02-14,17:30:00,3743.00,3743.00,3740.00,3741.00,5098,0\r\n2006-02-14,17:31:00,3741.00,3743.00,3740.00,3742.00,3134,0\r\n2006-02-14,17:32:00,3742.00,3744.00,3741.00,3743.00,2928,0\r\n2006-02-14,17:33:00,3743.00,3744.00,3742.00,3743.00,861,0\r\n2006-02-14,17:34:00,3743.00,3743.00,3742.00,3743.00,1216,0\r\n2006-02-14,17:35:00,3742.00,3743.00,3741.00,3743.00,1301,0\r\n2006-02-14,17:36:00,3742.00,3744.00,3742.00,3743.00,616,0\r\n2006-02-14,17:37:00,3743.00,3743.00,3741.00,3742.00,788,0\r\n2006-02-14,17:38:00,3741.00,3742.00,3741.00,3742.00,1107,0\r\n2006-02-14,17:39:00,3742.00,3742.00,3741.00,3742.00,879,0\r\n2006-02-14,17:40:00,3742.00,3742.00,3741.00,3741.00,303,0\r\n2006-02-14,17:41:00,3741.00,3742.00,3741.00,3742.00,1012,0\r\n2006-02-14,17:42:00,3742.00,3742.00,3741.00,3742.00,401,0\r\n2006-02-14,17:43:00,3742.00,3742.00,3741.00,3742.00,217,0\r\n2006-02-14,17:44:00,3741.00,3742.00,3740.00,3741.00,3012,0\r\n2006-02-14,17:45:00,3742.00,3743.00,3741.00,3743.00,1259,0\r\n2006-02-14,17:46:00,3743.00,3745.00,3743.00,3745.00,669,0\r\n2006-02-14,17:47:00,3745.00,3746.00,3743.00,3744.00,912,0\r\n2006-02-14,17:48:00,3744.00,3745.00,3743.00,3744.00,398,0\r\n2006-02-14,17:49:00,3743.00,3745.00,3743.00,3743.00,326,0\r\n2006-02-14,17:50:00,3743.00,3744.00,3743.00,3743.00,413,0\r\n2006-02-14,17:51:00,3743.00,3744.00,3743.00,3743.00,1043,0\r\n2006-02-14,17:52:00,3743.00,3744.00,3743.00,3743.00,194,0\r\n2006-02-14,17:53:00,3743.00,3745.00,3743.00,3745.00,300,0\r\n2006-02-14,17:54:00,3745.00,3746.00,3745.00,3746.00,3637,0\r\n2006-02-14,17:55:00,3747.00,3749.00,3747.00,3749.00,3015,0\r\n2006-02-14,17:56:00,3748.00,3749.00,3748.00,3749.00,2406,0\r\n2006-02-14,17:57:00,3749.00,3750.00,3749.00,3749.00,1234,0\r\n2006-02-14,17:58:00,3750.00,3751.00,3749.00,3749.00,2068,0\r\n2006-02-14,17:59:00,3749.00,3751.00,3748.00,3750.00,1231,0\r\n2006-02-14,18:00:00,3750.00,3750.00,3749.00,3749.00,173,0\r\n2006-02-14,18:01:00,3750.00,3750.00,3749.00,3750.00,941,0\r\n2006-02-14,18:02:00,3749.00,3750.00,3749.00,3749.00,848,0\r\n2006-02-14,18:03:00,3749.00,3750.00,3749.00,3749.00,214,0\r\n2006-02-14,18:04:00,3749.00,3749.00,3748.00,3748.00,578,0\r\n2006-02-14,18:05:00,3749.00,3750.00,3748.00,3750.00,983,0\r\n2006-02-14,18:06:00,3750.00,3752.00,3750.00,3751.00,688,0\r\n2006-02-14,18:07:00,3751.00,3751.00,3750.00,3750.00,788,0\r\n2006-02-14,18:08:00,3750.00,3750.00,3750.00,3750.00,35,0\r\n2006-02-14,18:09:00,3750.00,3751.00,3750.00,3751.00,529,0\r\n2006-02-14,18:10:00,3751.00,3751.00,3750.00,3750.00,156,0\r\n2006-02-14,18:11:00,3751.00,3751.00,3748.00,3748.00,466,0\r\n2006-02-14,18:12:00,3748.00,3749.00,3747.00,3747.00,783,0\r\n2006-02-14,18:13:00,3747.00,3747.00,3746.00,3746.00,1093,0\r\n2006-02-14,18:14:00,3747.00,3747.00,3747.00,3747.00,521,0\r\n2006-02-14,18:15:00,3748.00,3749.00,3747.00,3748.00,532,0\r\n2006-02-14,18:16:00,3748.00,3748.00,3747.00,3748.00,439,0\r\n2006-02-14,18:17:00,3749.00,3749.00,3748.00,3748.00,258,0\r\n2006-02-14,18:18:00,3749.00,3749.00,3747.00,3747.00,256,0\r\n2006-02-14,18:19:00,3747.00,3748.00,3746.00,3748.00,597,0\r\n2006-02-14,18:20:00,3747.00,3748.00,3747.00,3748.00,66,0\r\n2006-02-14,18:21:00,3747.00,3748.00,3747.00,3748.00,80,0\r\n2006-02-14,18:22:00,3748.00,3748.00,3747.00,3747.00,154,0\r\n2006-02-14,18:23:00,3748.00,3748.00,3747.00,3747.00,11,0\r\n2006-02-14,18:24:00,3747.00,3748.00,3747.00,3748.00,119,0\r\n2006-02-14,18:25:00,3748.00,3748.00,3747.00,3747.00,61,0\r\n2006-02-14,18:26:00,3748.00,3748.00,3746.00,3746.00,211,0\r\n2006-02-14,18:27:00,3746.00,3747.00,3746.00,3747.00,385,0\r\n2006-02-14,18:28:00,3748.00,3749.00,3748.00,3749.00,115,0\r\n2006-02-14,18:29:00,3748.00,3749.00,3748.00,3749.00,184,0\r\n2006-02-14,18:30:00,3749.00,3749.00,3749.00,3749.00,265,0\r\n2006-02-14,18:31:00,3749.00,3749.00,3749.00,3749.00,1,0\r\n2006-02-14,18:32:00,3748.00,3748.00,3747.00,3747.00,298,0\r\n2006-02-14,18:33:00,3747.00,3747.00,3747.00,3747.00,370,0\r\n2006-02-14,18:34:00,3747.00,3747.00,3747.00,3747.00,1,0\r\n2006-02-14,18:35:00,3747.00,3747.00,3746.00,3747.00,276,0\r\n2006-02-14,18:36:00,3747.00,3747.00,3747.00,3747.00,88,0\r\n2006-02-14,18:37:00,3748.00,3748.00,3747.00,3748.00,258,0\r\n2006-02-14,18:38:00,3749.00,3749.00,3747.00,3748.00,194,0\r\n2006-02-14,18:39:00,3748.00,3749.00,3748.00,3749.00,45,0\r\n2006-02-14,18:40:00,3749.00,3749.00,3749.00,3749.00,4,0\r\n2006-02-14,18:41:00,3748.00,3749.00,3748.00,3749.00,374,0\r\n2006-02-14,18:42:00,3749.00,3749.00,3749.00,3749.00,93,0\r\n2006-02-14,18:43:00,3748.00,3749.00,3748.00,3748.00,29,0\r\n2006-02-14,18:44:00,3749.00,3750.00,3749.00,3749.00,819,0\r\n2006-02-14,18:45:00,3749.00,3750.00,3749.00,3750.00,329,0\r\n2006-02-14,18:46:00,3750.00,3751.00,3750.00,3751.00,146,0\r\n2006-02-14,18:47:00,3751.00,3751.00,3749.00,3750.00,209,0\r\n2006-02-14,18:48:00,3749.00,3750.00,3749.00,3749.00,167,0\r\n2006-02-14,18:49:00,3749.00,3749.00,3747.00,3748.00,198,0\r\n2006-02-14,18:50:00,3747.00,3748.00,3747.00,3748.00,100,0\r\n2006-02-14,18:51:00,3749.00,3749.00,3748.00,3748.00,526,0\r\n2006-02-14,18:52:00,3748.00,3749.00,3748.00,3749.00,120,0\r\n2006-02-14,18:53:00,3749.00,3749.00,3748.00,3748.00,93,0\r\n2006-02-14,18:54:00,3748.00,3748.00,3748.00,3748.00,100,0\r\n2006-02-14,18:55:00,3748.00,3748.00,3747.00,3747.00,85,0\r\n2006-02-14,18:56:00,3748.00,3748.00,3747.00,3747.00,411,0\r\n2006-02-14,18:57:00,3747.00,3748.00,3747.00,3747.00,290,0\r\n2006-02-14,18:58:00,3747.00,3747.00,3746.00,3747.00,91,0\r\n2006-02-14,18:59:00,3747.00,3748.00,3747.00,3748.00,297,0\r\n2006-02-14,19:00:00,3748.00,3749.00,3748.00,3749.00,431,0\r\n2006-02-14,19:02:00,3749.00,3749.00,3749.00,3749.00,231,0\r\n2006-02-14,19:03:00,3749.00,3749.00,3749.00,3749.00,26,0\r\n2006-02-14,19:04:00,3749.00,3749.00,3748.00,3748.00,6,0\r\n2006-02-14,19:05:00,3748.00,3748.00,3747.00,3747.00,132,0\r\n2006-02-14,19:06:00,3747.00,3747.00,3747.00,3747.00,478,0\r\n2006-02-14,19:07:00,3747.00,3749.00,3747.00,3749.00,172,0\r\n2006-02-14,19:08:00,3749.00,3749.00,3748.00,3748.00,52,0\r\n2006-02-14,19:09:00,3748.00,3748.00,3748.00,3748.00,9,0\r\n2006-02-14,19:10:00,3748.00,3749.00,3748.00,3748.00,331,0\r\n2006-02-14,19:11:00,3748.00,3748.00,3746.00,3746.00,318,0\r\n2006-02-14,19:12:00,3746.00,3748.00,3746.00,3748.00,426,0\r\n2006-02-14,19:13:00,3748.00,3749.00,3748.00,3749.00,100,0\r\n2006-02-14,19:14:00,3748.00,3748.00,3748.00,3748.00,53,0\r\n2006-02-14,19:15:00,3749.00,3749.00,3749.00,3749.00,4,0\r\n2006-02-14,19:16:00,3749.00,3750.00,3749.00,3750.00,141,0\r\n2006-02-14,19:17:00,3750.00,3750.00,3749.00,3749.00,317,0\r\n2006-02-14,19:18:00,3749.00,3750.00,3749.00,3750.00,59,0\r\n2006-02-14,19:19:00,3750.00,3750.00,3749.00,3749.00,155,0\r\n2006-02-14,19:20:00,3749.00,3749.00,3749.00,3749.00,72,0\r\n2006-02-14,19:21:00,3750.00,3750.00,3749.00,3749.00,92,0\r\n2006-02-14,19:22:00,3749.00,3749.00,3749.00,3749.00,6,0\r\n2006-02-14,19:23:00,3749.00,3749.00,3749.00,3749.00,59,0\r\n2006-02-14,19:24:00,3749.00,3749.00,3748.00,3748.00,36,0\r\n2006-02-14,19:25:00,3749.00,3749.00,3748.00,3748.00,116,0\r\n2006-02-14,19:26:00,3747.00,3748.00,3747.00,3748.00,72,0\r\n2006-02-14,19:27:00,3748.00,3748.00,3748.00,3748.00,112,0\r\n2006-02-14,19:28:00,3748.00,3748.00,3748.00,3748.00,140,0\r\n2006-02-14,19:29:00,3749.00,3749.00,3749.00,3749.00,157,0\r\n2006-02-14,19:30:00,3749.00,3750.00,3749.00,3750.00,68,0\r\n2006-02-14,19:31:00,3750.00,3752.00,3750.00,3752.00,192,0\r\n2006-02-14,19:32:00,3751.00,3752.00,3751.00,3752.00,349,0\r\n2006-02-14,19:33:00,3751.00,3751.00,3750.00,3751.00,151,0\r\n2006-02-14,19:34:00,3751.00,3751.00,3751.00,3751.00,100,0\r\n2006-02-14,19:35:00,3751.00,3751.00,3750.00,3750.00,198,0\r\n2006-02-14,19:36:00,3750.00,3750.00,3750.00,3750.00,50,0\r\n2006-02-14,19:37:00,3751.00,3751.00,3750.00,3750.00,267,0\r\n2006-02-14,19:38:00,3750.00,3750.00,3749.00,3750.00,100,0\r\n2006-02-14,19:39:00,3749.00,3749.00,3748.00,3748.00,748,0\r\n2006-02-14,19:40:00,3748.00,3748.00,3748.00,3748.00,34,0\r\n2006-02-14,19:41:00,3747.00,3748.00,3747.00,3748.00,95,0\r\n2006-02-14,19:42:00,3749.00,3749.00,3749.00,3749.00,24,0\r\n2006-02-14,19:43:00,3749.00,3750.00,3749.00,3750.00,428,0\r\n2006-02-14,19:44:00,3750.00,3750.00,3750.00,3750.00,39,0\r\n2006-02-14,19:45:00,3750.00,3752.00,3750.00,3752.00,345,0\r\n2006-02-14,19:46:00,3752.00,3752.00,3751.00,3751.00,31,0\r\n2006-02-14,19:47:00,3751.00,3752.00,3751.00,3752.00,239,0\r\n2006-02-14,19:48:00,3751.00,3751.00,3751.00,3751.00,51,0\r\n2006-02-14,19:49:00,3751.00,3751.00,3751.00,3751.00,48,0\r\n2006-02-14,19:50:00,3750.00,3751.00,3750.00,3750.00,10,0\r\n2006-02-14,19:51:00,3751.00,3752.00,3751.00,3752.00,169,0\r\n2006-02-14,19:52:00,3752.00,3753.00,3751.00,3751.00,380,0\r\n2006-02-14,19:53:00,3751.00,3752.00,3751.00,3752.00,142,0\r\n2006-02-14,19:54:00,3752.00,3752.00,3752.00,3752.00,35,0\r\n2006-02-14,19:55:00,3752.00,3753.00,3752.00,3753.00,155,0\r\n2006-02-14,19:56:00,3754.00,3755.00,3753.00,3754.00,928,0\r\n2006-02-14,19:57:00,3753.00,3754.00,3751.00,3752.00,716,0\r\n2006-02-14,19:58:00,3752.00,3754.00,3752.00,3754.00,285,0\r\n2006-02-14,19:59:00,3754.00,3754.00,3753.00,3753.00,98,0\r\n2006-02-14,20:00:00,3752.00,3753.00,3751.00,3752.00,290,0\r\n2006-02-14,20:01:00,3751.00,3752.00,3751.00,3752.00,65,0\r\n2006-02-14,20:02:00,3752.00,3753.00,3752.00,3753.00,171,0\r\n2006-02-14,20:03:00,3754.00,3755.00,3753.00,3754.00,319,0\r\n2006-02-14,20:04:00,3754.00,3754.00,3753.00,3753.00,53,0\r\n2006-02-14,20:05:00,3753.00,3754.00,3753.00,3754.00,69,0\r\n2006-02-14,20:06:00,3755.00,3758.00,3754.00,3758.00,2880,0\r\n2006-02-14,20:07:00,3758.00,3759.00,3757.00,3758.00,1013,0\r\n2006-02-14,20:08:00,3758.00,3760.00,3758.00,3759.00,876,0\r\n2006-02-14,20:09:00,3758.00,3758.00,3758.00,3758.00,39,0\r\n2006-02-14,20:10:00,3758.00,3759.00,3758.00,3759.00,223,0\r\n2006-02-14,20:11:00,3759.00,3759.00,3758.00,3759.00,628,0\r\n2006-02-14,20:12:00,3758.00,3758.00,3758.00,3758.00,282,0\r\n2006-02-14,20:13:00,3759.00,3759.00,3758.00,3759.00,460,0\r\n2006-02-14,20:14:00,3759.00,3759.00,3759.00,3759.00,28,0\r\n2006-02-14,20:15:00,3759.00,3759.00,3758.00,3758.00,443,0\r\n2006-02-14,20:16:00,3758.00,3758.00,3757.00,3758.00,769,0\r\n2006-02-14,20:17:00,3758.00,3759.00,3758.00,3758.00,403,0\r\n2006-02-14,20:18:00,3758.00,3758.00,3757.00,3757.00,357,0\r\n2006-02-14,20:19:00,3758.00,3759.00,3758.00,3759.00,428,0\r\n2006-02-14,20:20:00,3758.00,3759.00,3758.00,3759.00,30,0\r\n2006-02-14,20:21:00,3758.00,3759.00,3758.00,3759.00,30,0\r\n2006-02-14,20:22:00,3758.00,3759.00,3758.00,3759.00,118,0\r\n2006-02-14,20:23:00,3758.00,3758.00,3758.00,3758.00,4,0\r\n2006-02-14,20:24:00,3758.00,3759.00,3758.00,3759.00,340,0\r\n2006-02-14,20:25:00,3759.00,3760.00,3759.00,3760.00,153,0\r\n2006-02-14,20:26:00,3759.00,3760.00,3759.00,3759.00,26,0\r\n2006-02-14,20:27:00,3759.00,3760.00,3759.00,3759.00,144,0\r\n2006-02-14,20:28:00,3759.00,3759.00,3759.00,3759.00,210,0\r\n2006-02-14,20:29:00,3759.00,3762.00,3759.00,3760.00,2539,0\r\n2006-02-14,20:30:00,3761.00,3761.00,3760.00,3760.00,426,0\r\n2006-02-14,20:31:00,3759.00,3760.00,3759.00,3760.00,70,0\r\n2006-02-14,20:32:00,3760.00,3760.00,3758.00,3759.00,584,0\r\n2006-02-14,20:33:00,3759.00,3762.00,3759.00,3761.00,604,0\r\n2006-02-14,20:34:00,3761.00,3762.00,3761.00,3761.00,65,0\r\n2006-02-14,20:35:00,3761.00,3761.00,3761.00,3761.00,12,0\r\n2006-02-14,20:36:00,3761.00,3761.00,3760.00,3760.00,344,0\r\n2006-02-14,20:37:00,3760.00,3761.00,3760.00,3761.00,237,0\r\n2006-02-14,20:38:00,3760.00,3760.00,3759.00,3760.00,221,0\r\n2006-02-14,20:39:00,3760.00,3760.00,3759.00,3759.00,62,0\r\n2006-02-14,20:40:00,3759.00,3760.00,3758.00,3760.00,217,0\r\n2006-02-14,20:41:00,3760.00,3761.00,3759.00,3759.00,60,0\r\n2006-02-14,20:42:00,3759.00,3760.00,3758.00,3759.00,82,0\r\n2006-02-14,20:43:00,3760.00,3760.00,3758.00,3759.00,25,0\r\n2006-02-14,20:44:00,3759.00,3759.00,3758.00,3758.00,40,0\r\n2006-02-14,20:45:00,3759.00,3759.00,3758.00,3758.00,123,0\r\n2006-02-14,20:46:00,3758.00,3758.00,3758.00,3758.00,1,0\r\n2006-02-14,20:47:00,3759.00,3759.00,3758.00,3758.00,32,0\r\n2006-02-14,20:48:00,3759.00,3760.00,3759.00,3760.00,67,0\r\n2006-02-14,20:49:00,3759.00,3759.00,3759.00,3759.00,1,0\r\n2006-02-14,20:50:00,3760.00,3760.00,3760.00,3760.00,166,0\r\n2006-02-14,20:51:00,3760.00,3760.00,3760.00,3760.00,176,0\r\n2006-02-14,20:52:00,3760.00,3760.00,3759.00,3759.00,5,0\r\n2006-02-14,20:53:00,3759.00,3760.00,3759.00,3759.00,5,0\r\n2006-02-14,20:54:00,3760.00,3760.00,3759.00,3759.00,11,0\r\n2006-02-14,20:55:00,3759.00,3759.00,3759.00,3759.00,18,0\r\n2006-02-14,20:56:00,3759.00,3759.00,3759.00,3759.00,3,0\r\n2006-02-14,20:57:00,3759.00,3760.00,3759.00,3760.00,29,0\r\n2006-02-14,20:58:00,3760.00,3760.00,3760.00,3760.00,54,0\r\n2006-02-14,20:59:00,3760.00,3760.00,3759.00,3760.00,19,0\r\n2006-02-14,21:00:00,3760.00,3760.00,3760.00,3760.00,4,0\r\n2006-02-14,21:01:00,3761.00,3761.00,3761.00,3761.00,70,0\r\n2006-02-14,21:02:00,3760.00,3761.00,3760.00,3761.00,58,0\r\n2006-02-14,21:03:00,3762.00,3762.00,3761.00,3761.00,349,0\r\n2006-02-14,21:04:00,3761.00,3761.00,3761.00,3761.00,54,0\r\n2006-02-14,21:05:00,3761.00,3762.00,3761.00,3761.00,119,0\r\n2006-02-14,21:06:00,3761.00,3762.00,3761.00,3762.00,108,0\r\n2006-02-14,21:07:00,3761.00,3761.00,3760.00,3760.00,2,0\r\n2006-02-14,21:08:00,3759.00,3759.00,3758.00,3758.00,17,0\r\n2006-02-14,21:09:00,3758.00,3758.00,3758.00,3758.00,2,0\r\n2006-02-14,21:10:00,3759.00,3759.00,3758.00,3758.00,13,0\r\n2006-02-14,21:11:00,3758.00,3759.00,3758.00,3758.00,92,0\r\n2006-02-14,21:12:00,3758.00,3758.00,3757.00,3758.00,19,0\r\n2006-02-14,21:13:00,3758.00,3758.00,3758.00,3758.00,7,0\r\n2006-02-14,21:14:00,3757.00,3758.00,3757.00,3758.00,49,0\r\n2006-02-14,21:15:00,3759.00,3759.00,3758.00,3758.00,10,0\r\n2006-02-14,21:16:00,3758.00,3759.00,3758.00,3759.00,30,0\r\n2006-02-14,21:17:00,3759.00,3759.00,3759.00,3759.00,70,0\r\n2006-02-14,21:18:00,3760.00,3760.00,3759.00,3759.00,208,0\r\n2006-02-14,21:19:00,3759.00,3759.00,3759.00,3759.00,31,0\r\n2006-02-14,21:20:00,3759.00,3759.00,3759.00,3759.00,3,0\r\n2006-02-14,21:21:00,3759.00,3760.00,3759.00,3760.00,38,0\r\n2006-02-14,21:22:00,3760.00,3760.00,3759.00,3760.00,76,0\r\n2006-02-14,21:23:00,3760.00,3760.00,3759.00,3759.00,11,0\r\n2006-02-14,21:24:00,3759.00,3759.00,3759.00,3759.00,16,0\r\n2006-02-14,21:25:00,3759.00,3760.00,3759.00,3760.00,48,0\r\n2006-02-14,21:26:00,3759.00,3759.00,3759.00,3759.00,1,0\r\n2006-02-14,21:27:00,3759.00,3760.00,3759.00,3759.00,137,0\r\n2006-02-14,21:28:00,3760.00,3760.00,3759.00,3759.00,97,0\r\n2006-02-14,21:29:00,3759.00,3759.00,3759.00,3759.00,36,0\r\n2006-02-14,21:30:00,3759.00,3760.00,3759.00,3760.00,25,0\r\n2006-02-14,21:31:00,3759.00,3759.00,3759.00,3759.00,4,0\r\n2006-02-14,21:32:00,3760.00,3761.00,3760.00,3761.00,136,0\r\n2006-02-14,21:33:00,3761.00,3761.00,3761.00,3761.00,69,0\r\n2006-02-14,21:34:00,3762.00,3762.00,3761.00,3762.00,390,0\r\n2006-02-14,21:35:00,3762.00,3763.00,3762.00,3763.00,231,0\r\n2006-02-14,21:36:00,3763.00,3763.00,3763.00,3763.00,2,0\r\n2006-02-14,21:37:00,3763.00,3764.00,3762.00,3764.00,311,0\r\n2006-02-14,21:38:00,3764.00,3764.00,3762.00,3762.00,38,0\r\n2006-02-14,21:39:00,3762.00,3762.00,3762.00,3762.00,43,0\r\n2006-02-14,21:40:00,3762.00,3763.00,3762.00,3763.00,132,0\r\n2006-02-14,21:41:00,3763.00,3763.00,3762.00,3763.00,30,0\r\n2006-02-14,21:42:00,3762.00,3762.00,3762.00,3762.00,80,0\r\n2006-02-14,21:43:00,3762.00,3763.00,3762.00,3763.00,244,0\r\n2006-02-14,21:44:00,3763.00,3764.00,3762.00,3762.00,113,0\r\n2006-02-14,21:45:00,3761.00,3761.00,3761.00,3761.00,11,0\r\n2006-02-14,21:46:00,3761.00,3762.00,3761.00,3761.00,48,0\r\n2006-02-14,21:47:00,3761.00,3761.00,3760.00,3761.00,372,0\r\n2006-02-14,21:49:00,3760.00,3761.00,3760.00,3760.00,321,0\r\n2006-02-14,21:50:00,3760.00,3760.00,3759.00,3760.00,112,0\r\n2006-02-14,21:51:00,3759.00,3761.00,3759.00,3761.00,151,0\r\n2006-02-14,21:52:00,3761.00,3762.00,3761.00,3762.00,193,0\r\n2006-02-14,21:53:00,3762.00,3762.00,3762.00,3762.00,38,0\r\n2006-02-14,21:54:00,3763.00,3763.00,3761.00,3761.00,130,0\r\n2006-02-14,21:55:00,3760.00,3762.00,3760.00,3762.00,211,0\r\n2006-02-14,21:56:00,3761.00,3762.00,3761.00,3761.00,67,0\r\n2006-02-14,21:57:00,3761.00,3763.00,3761.00,3762.00,104,0\r\n2006-02-14,21:58:00,3762.00,3763.00,3762.00,3763.00,64,0\r\n2006-02-14,21:59:00,3763.00,3765.00,3762.00,3765.00,424,0\r\n2006-02-14,22:00:00,3764.00,3764.00,3762.00,3763.00,531,0\r\n2006-02-15,09:01:00,3746.00,3749.00,3744.00,3745.00,9002,0\r\n2006-02-15,09:02:00,3745.00,3747.00,3743.00,3744.00,3505,0\r\n2006-02-15,09:03:00,3743.00,3745.00,3743.00,3744.00,2295,0\r\n2006-02-15,09:04:00,3744.00,3745.00,3738.00,3738.00,4211,0\r\n2006-02-15,09:05:00,3739.00,3741.00,3738.00,3741.00,1595,0\r\n2006-02-15,09:06:00,3741.00,3742.00,3739.00,3740.00,2282,0\r\n2006-02-15,09:07:00,3740.00,3741.00,3736.00,3737.00,4796,0\r\n2006-02-15,09:08:00,3738.00,3739.00,3737.00,3739.00,1885,0\r\n2006-02-15,09:09:00,3739.00,3740.00,3738.00,3738.00,464,0\r\n2006-02-15,09:10:00,3738.00,3739.00,3737.00,3738.00,594,0\r\n2006-02-15,09:11:00,3738.00,3741.00,3737.00,3740.00,1896,0\r\n2006-02-15,09:12:00,3740.00,3741.00,3740.00,3740.00,1331,0\r\n2006-02-15,09:13:00,3740.00,3740.00,3739.00,3739.00,597,0\r\n2006-02-15,09:14:00,3739.00,3739.00,3737.00,3738.00,936,0\r\n2006-02-15,09:15:00,3739.00,3739.00,3738.00,3739.00,359,0\r\n2006-02-15,09:16:00,3739.00,3740.00,3737.00,3737.00,865,0\r\n2006-02-15,09:17:00,3736.00,3737.00,3733.00,3734.00,3161,0\r\n2006-02-15,09:18:00,3735.00,3736.00,3734.00,3736.00,989,0\r\n2006-02-15,09:19:00,3735.00,3735.00,3733.00,3734.00,714,0\r\n2006-02-15,09:20:00,3733.00,3734.00,3733.00,3734.00,1302,0\r\n2006-02-15,09:21:00,3735.00,3735.00,3732.00,3734.00,522,0\r\n2006-02-15,09:22:00,3734.00,3735.00,3734.00,3735.00,698,0\r\n2006-02-15,09:23:00,3735.00,3737.00,3735.00,3737.00,1893,0\r\n2006-02-15,09:24:00,3738.00,3742.00,3738.00,3741.00,2784,0\r\n2006-02-15,09:25:00,3741.00,3743.00,3740.00,3743.00,1986,0\r\n2006-02-15,09:26:00,3744.00,3744.00,3742.00,3742.00,818,0\r\n2006-02-15,09:27:00,3741.00,3742.00,3740.00,3742.00,838,0\r\n2006-02-15,09:28:00,3741.00,3741.00,3740.00,3741.00,1058,0\r\n2006-02-15,09:29:00,3741.00,3742.00,3741.00,3742.00,873,0\r\n2006-02-15,09:30:00,3743.00,3743.00,3742.00,3742.00,1190,0\r\n2006-02-15,09:31:00,3742.00,3743.00,3741.00,3741.00,202,0\r\n2006-02-15,09:32:00,3741.00,3741.00,3738.00,3739.00,1897,0\r\n2006-02-15,09:33:00,3740.00,3741.00,3739.00,3740.00,359,0\r\n2006-02-15,09:34:00,3740.00,3741.00,3740.00,3741.00,1837,0\r\n2006-02-15,09:35:00,3740.00,3741.00,3740.00,3741.00,461,0\r\n2006-02-15,09:36:00,3741.00,3742.00,3739.00,3739.00,1805,0\r\n2006-02-15,09:37:00,3740.00,3742.00,3739.00,3742.00,1956,0\r\n2006-02-15,09:38:00,3742.00,3742.00,3740.00,3741.00,1327,0\r\n2006-02-15,09:39:00,3742.00,3743.00,3742.00,3742.00,532,0\r\n2006-02-15,09:40:00,3742.00,3742.00,3742.00,3742.00,204,0\r\n2006-02-15,09:41:00,3742.00,3743.00,3741.00,3741.00,1506,0\r\n2006-02-15,09:42:00,3742.00,3742.00,3741.00,3742.00,211,0\r\n2006-02-15,09:43:00,3741.00,3741.00,3739.00,3740.00,1280,0\r\n2006-02-15,09:44:00,3740.00,3740.00,3739.00,3739.00,372,0\r\n2006-02-15,09:45:00,3739.00,3739.00,3736.00,3736.00,1181,0\r\n2006-02-15,09:46:00,3736.00,3738.00,3736.00,3737.00,707,0\r\n2006-02-15,09:47:00,3738.00,3738.00,3735.00,3736.00,654,0\r\n2006-02-15,09:48:00,3737.00,3738.00,3736.00,3737.00,250,0\r\n2006-02-15,09:49:00,3738.00,3738.00,3737.00,3737.00,38,0\r\n2006-02-15,09:50:00,3738.00,3738.00,3737.00,3738.00,574,0\r\n2006-02-15,09:51:00,3737.00,3738.00,3734.00,3735.00,1430,0\r\n2006-02-15,09:52:00,3734.00,3736.00,3734.00,3735.00,360,0\r\n2006-02-15,09:53:00,3736.00,3738.00,3736.00,3738.00,670,0\r\n2006-02-15,09:54:00,3737.00,3737.00,3735.00,3735.00,696,0\r\n2006-02-15,09:55:00,3735.00,3736.00,3734.00,3734.00,590,0\r\n2006-02-15,09:56:00,3733.00,3735.00,3733.00,3734.00,1558,0\r\n2006-02-15,09:57:00,3735.00,3736.00,3735.00,3736.00,246,0\r\n2006-02-15,09:58:00,3736.00,3736.00,3735.00,3735.00,3036,0\r\n2006-02-15,09:59:00,3735.00,3736.00,3735.00,3736.00,80,0\r\n2006-02-15,10:00:00,3736.00,3737.00,3736.00,3737.00,459,0\r\n2006-02-15,10:01:00,3736.00,3737.00,3735.00,3736.00,1128,0\r\n2006-02-15,10:02:00,3737.00,3737.00,3736.00,3737.00,293,0\r\n2006-02-15,10:03:00,3737.00,3738.00,3737.00,3737.00,141,0\r\n2006-02-15,10:04:00,3737.00,3739.00,3737.00,3739.00,328,0\r\n2006-02-15,10:05:00,3739.00,3739.00,3738.00,3739.00,289,0\r\n2006-02-15,10:06:00,3738.00,3739.00,3738.00,3738.00,113,0\r\n2006-02-15,10:07:00,3738.00,3739.00,3737.00,3737.00,1031,0\r\n2006-02-15,10:08:00,3737.00,3737.00,3737.00,3737.00,8,0\r\n2006-02-15,10:09:00,3737.00,3737.00,3737.00,3737.00,17,0\r\n2006-02-15,10:10:00,3737.00,3737.00,3734.00,3734.00,1482,0\r\n2006-02-15,10:11:00,3734.00,3735.00,3734.00,3734.00,303,0\r\n2006-02-15,10:12:00,3735.00,3735.00,3733.00,3734.00,1754,0\r\n2006-02-15,10:13:00,3734.00,3735.00,3734.00,3735.00,3635,0\r\n2006-02-15,10:14:00,3735.00,3738.00,3735.00,3737.00,450,0\r\n2006-02-15,10:15:00,3737.00,3738.00,3737.00,3737.00,54,0\r\n2006-02-15,10:16:00,3737.00,3738.00,3736.00,3736.00,1026,0\r\n2006-02-15,10:17:00,3736.00,3736.00,3735.00,3735.00,357,0\r\n2006-02-15,10:18:00,3735.00,3737.00,3735.00,3736.00,268,0\r\n2006-02-15,10:19:00,3736.00,3737.00,3735.00,3737.00,741,0\r\n2006-02-15,10:20:00,3737.00,3737.00,3737.00,3737.00,41,0\r\n2006-02-15,10:21:00,3738.00,3739.00,3737.00,3737.00,1221,0\r\n2006-02-15,10:22:00,3737.00,3738.00,3737.00,3738.00,92,0\r\n2006-02-15,10:23:00,3737.00,3738.00,3737.00,3737.00,22,0\r\n2006-02-15,10:24:00,3737.00,3737.00,3736.00,3737.00,441,0\r\n2006-02-15,10:25:00,3737.00,3738.00,3735.00,3736.00,1323,0\r\n2006-02-15,10:26:00,3736.00,3736.00,3734.00,3735.00,792,0\r\n2006-02-15,10:27:00,3735.00,3735.00,3734.00,3735.00,175,0\r\n2006-02-15,10:28:00,3736.00,3736.00,3735.00,3736.00,622,0\r\n2006-02-15,10:29:00,3737.00,3738.00,3736.00,3737.00,280,0\r\n2006-02-15,10:30:00,3737.00,3737.00,3737.00,3737.00,177,0\r\n2006-02-15,10:31:00,3736.00,3738.00,3736.00,3737.00,422,0\r\n2006-02-15,10:32:00,3737.00,3738.00,3736.00,3738.00,150,0\r\n2006-02-15,10:33:00,3738.00,3739.00,3738.00,3739.00,948,0\r\n2006-02-15,10:34:00,3739.00,3740.00,3739.00,3740.00,710,0\r\n2006-02-15,10:35:00,3740.00,3742.00,3740.00,3741.00,779,0\r\n2006-02-15,10:36:00,3741.00,3741.00,3740.00,3741.00,534,0\r\n2006-02-15,10:37:00,3740.00,3741.00,3739.00,3740.00,325,0\r\n2006-02-15,10:38:00,3740.00,3741.00,3740.00,3740.00,328,0\r\n2006-02-15,10:39:00,3740.00,3741.00,3739.00,3740.00,755,0\r\n2006-02-15,10:40:00,3741.00,3741.00,3739.00,3741.00,185,0\r\n2006-02-15,10:41:00,3740.00,3741.00,3740.00,3740.00,155,0\r\n2006-02-15,10:42:00,3740.00,3741.00,3740.00,3741.00,21,0\r\n2006-02-15,10:43:00,3740.00,3740.00,3740.00,3740.00,70,0\r\n2006-02-15,10:44:00,3740.00,3742.00,3740.00,3742.00,320,0\r\n2006-02-15,10:45:00,3741.00,3743.00,3741.00,3743.00,965,0\r\n2006-02-15,10:46:00,3742.00,3745.00,3742.00,3744.00,3237,0\r\n2006-02-15,10:47:00,3744.00,3744.00,3743.00,3743.00,187,0\r\n2006-02-15,10:48:00,3744.00,3744.00,3743.00,3744.00,286,0\r\n2006-02-15,10:49:00,3743.00,3744.00,3743.00,3743.00,187,0\r\n2006-02-15,10:50:00,3743.00,3744.00,3742.00,3743.00,891,0\r\n2006-02-15,10:51:00,3744.00,3745.00,3744.00,3745.00,326,0\r\n2006-02-15,10:52:00,3744.00,3745.00,3742.00,3742.00,554,0\r\n2006-02-15,10:53:00,3742.00,3742.00,3742.00,3742.00,202,0\r\n2006-02-15,10:54:00,3742.00,3743.00,3741.00,3741.00,1053,0\r\n2006-02-15,10:55:00,3741.00,3743.00,3741.00,3743.00,546,0\r\n2006-02-15,10:56:00,3743.00,3743.00,3742.00,3743.00,85,0\r\n2006-02-15,10:57:00,3742.00,3744.00,3742.00,3743.00,444,0\r\n2006-02-15,10:58:00,3742.00,3743.00,3742.00,3743.00,44,0\r\n2006-02-15,10:59:00,3743.00,3744.00,3743.00,3744.00,260,0\r\n2006-02-15,11:00:00,3743.00,3744.00,3743.00,3744.00,370,0\r\n2006-02-15,11:01:00,3743.00,3744.00,3743.00,3744.00,190,0\r\n2006-02-15,11:02:00,3743.00,3744.00,3743.00,3744.00,3669,0\r\n2006-02-15,11:03:00,3744.00,3744.00,3743.00,3744.00,274,0\r\n2006-02-15,11:04:00,3743.00,3744.00,3742.00,3742.00,712,0\r\n2006-02-15,11:05:00,3743.00,3744.00,3742.00,3743.00,943,0\r\n2006-02-15,11:06:00,3744.00,3744.00,3742.00,3743.00,155,0\r\n2006-02-15,11:07:00,3743.00,3743.00,3742.00,3743.00,166,0\r\n2006-02-15,11:08:00,3743.00,3744.00,3742.00,3743.00,269,0\r\n2006-02-15,11:09:00,3742.00,3743.00,3742.00,3742.00,233,0\r\n2006-02-15,11:10:00,3742.00,3743.00,3741.00,3742.00,776,0\r\n2006-02-15,11:11:00,3742.00,3743.00,3742.00,3743.00,27,0\r\n2006-02-15,11:12:00,3743.00,3743.00,3742.00,3742.00,144,0\r\n2006-02-15,11:13:00,3742.00,3743.00,3742.00,3743.00,305,0\r\n2006-02-15,11:14:00,3742.00,3743.00,3742.00,3743.00,267,0\r\n2006-02-15,11:15:00,3743.00,3744.00,3743.00,3744.00,854,0\r\n2006-02-15,11:16:00,3743.00,3744.00,3743.00,3744.00,18,0\r\n2006-02-15,11:17:00,3743.00,3743.00,3742.00,3743.00,130,0\r\n2006-02-15,11:18:00,3743.00,3743.00,3743.00,3743.00,100,0\r\n2006-02-15,11:19:00,3742.00,3743.00,3742.00,3743.00,144,0\r\n2006-02-15,11:20:00,3743.00,3744.00,3743.00,3744.00,633,0\r\n2006-02-15,11:21:00,3743.00,3744.00,3743.00,3744.00,6,0\r\n2006-02-15,11:22:00,3743.00,3745.00,3743.00,3744.00,849,0\r\n2006-02-15,11:23:00,3744.00,3745.00,3743.00,3744.00,207,0\r\n2006-02-15,11:24:00,3744.00,3744.00,3743.00,3743.00,210,0\r\n2006-02-15,11:25:00,3743.00,3744.00,3743.00,3743.00,155,0\r\n2006-02-15,11:26:00,3743.00,3744.00,3743.00,3744.00,214,0\r\n2006-02-15,11:27:00,3743.00,3744.00,3743.00,3743.00,280,0\r\n2006-02-15,11:28:00,3744.00,3744.00,3742.00,3743.00,445,0\r\n2006-02-15,11:29:00,3743.00,3743.00,3742.00,3743.00,22,0\r\n2006-02-15,11:30:00,3742.00,3743.00,3742.00,3743.00,399,0\r\n2006-02-15,11:31:00,3742.00,3742.00,3741.00,3742.00,82,0\r\n2006-02-15,11:32:00,3741.00,3742.00,3741.00,3742.00,31,0\r\n2006-02-15,11:33:00,3742.00,3742.00,3741.00,3742.00,581,0\r\n2006-02-15,11:34:00,3741.00,3742.00,3741.00,3742.00,148,0\r\n2006-02-15,11:35:00,3741.00,3742.00,3741.00,3742.00,83,0\r\n2006-02-15,11:36:00,3741.00,3742.00,3741.00,3742.00,2,0\r\n2006-02-15,11:37:00,3741.00,3744.00,3741.00,3743.00,843,0\r\n2006-02-15,11:38:00,3742.00,3744.00,3742.00,3743.00,443,0\r\n2006-02-15,11:39:00,3743.00,3744.00,3743.00,3743.00,7,0\r\n2006-02-15,11:40:00,3743.00,3744.00,3743.00,3744.00,180,0\r\n2006-02-15,11:41:00,3743.00,3743.00,3742.00,3742.00,311,0\r\n2006-02-15,11:42:00,3743.00,3743.00,3742.00,3743.00,303,0\r\n2006-02-15,11:43:00,3743.00,3743.00,3742.00,3742.00,41,0\r\n2006-02-15,11:44:00,3742.00,3742.00,3741.00,3741.00,1314,0\r\n2006-02-15,11:45:00,3741.00,3742.00,3741.00,3742.00,886,0\r\n2006-02-15,11:46:00,3742.00,3742.00,3741.00,3742.00,71,0\r\n2006-02-15,11:47:00,3741.00,3742.00,3741.00,3742.00,148,0\r\n2006-02-15,11:48:00,3741.00,3742.00,3740.00,3740.00,903,0\r\n2006-02-15,11:49:00,3739.00,3740.00,3739.00,3739.00,198,0\r\n2006-02-15,11:50:00,3739.00,3741.00,3739.00,3740.00,348,0\r\n2006-02-15,11:51:00,3740.00,3741.00,3740.00,3740.00,302,0\r\n2006-02-15,11:52:00,3740.00,3740.00,3739.00,3740.00,231,0\r\n2006-02-15,11:53:00,3740.00,3740.00,3736.00,3738.00,3433,0\r\n2006-02-15,11:54:00,3738.00,3738.00,3736.00,3737.00,496,0\r\n2006-02-15,11:55:00,3737.00,3737.00,3735.00,3736.00,950,0\r\n2006-02-15,11:56:00,3736.00,3737.00,3735.00,3737.00,580,0\r\n2006-02-15,11:57:00,3737.00,3737.00,3736.00,3737.00,441,0\r\n2006-02-15,11:58:00,3736.00,3737.00,3736.00,3737.00,385,0\r\n2006-02-15,11:59:00,3736.00,3737.00,3736.00,3737.00,23,0\r\n2006-02-15,12:00:00,3737.00,3737.00,3736.00,3736.00,11,0\r\n2006-02-15,12:01:00,3737.00,3737.00,3736.00,3736.00,234,0\r\n2006-02-15,12:02:00,3737.00,3737.00,3736.00,3736.00,174,0\r\n2006-02-15,12:03:00,3736.00,3737.00,3736.00,3737.00,658,0\r\n2006-02-15,12:04:00,3737.00,3738.00,3736.00,3736.00,584,0\r\n2006-02-15,12:05:00,3735.00,3737.00,3735.00,3737.00,619,0\r\n2006-02-15,12:06:00,3736.00,3736.00,3735.00,3735.00,129,0\r\n2006-02-15,12:07:00,3736.00,3736.00,3735.00,3736.00,97,0\r\n2006-02-15,12:08:00,3736.00,3736.00,3736.00,3736.00,394,0\r\n2006-02-15,12:09:00,3736.00,3736.00,3734.00,3734.00,813,0\r\n2006-02-15,12:10:00,3734.00,3734.00,3733.00,3734.00,826,0\r\n2006-02-15,12:11:00,3735.00,3735.00,3733.00,3734.00,613,0\r\n2006-02-15,12:12:00,3734.00,3736.00,3734.00,3735.00,887,0\r\n2006-02-15,12:13:00,3735.00,3735.00,3734.00,3734.00,123,0\r\n2006-02-15,12:14:00,3735.00,3735.00,3735.00,3735.00,278,0\r\n2006-02-15,12:15:00,3735.00,3735.00,3734.00,3735.00,521,0\r\n2006-02-15,12:16:00,3735.00,3735.00,3734.00,3735.00,102,0\r\n2006-02-15,12:17:00,3735.00,3736.00,3735.00,3735.00,825,0\r\n2006-02-15,12:18:00,3735.00,3736.00,3735.00,3735.00,185,0\r\n2006-02-15,12:19:00,3736.00,3736.00,3735.00,3736.00,3,0\r\n2006-02-15,12:20:00,3736.00,3737.00,3736.00,3737.00,888,0\r\n2006-02-15,12:21:00,3736.00,3736.00,3735.00,3736.00,363,0\r\n2006-02-15,12:22:00,3735.00,3736.00,3735.00,3735.00,528,0\r\n2006-02-15,12:23:00,3735.00,3735.00,3734.00,3735.00,77,0\r\n2006-02-15,12:24:00,3734.00,3736.00,3734.00,3735.00,369,0\r\n2006-02-15,12:25:00,3735.00,3735.00,3734.00,3735.00,753,0\r\n2006-02-15,12:26:00,3735.00,3736.00,3735.00,3736.00,451,0\r\n2006-02-15,12:27:00,3735.00,3736.00,3735.00,3735.00,54,0\r\n2006-02-15,12:28:00,3735.00,3737.00,3735.00,3737.00,439,0\r\n2006-02-15,12:29:00,3737.00,3737.00,3736.00,3736.00,207,0\r\n2006-02-15,12:30:00,3736.00,3737.00,3736.00,3737.00,745,0\r\n2006-02-15,12:31:00,3736.00,3736.00,3734.00,3736.00,959,0\r\n2006-02-15,12:32:00,3736.00,3736.00,3734.00,3734.00,353,0\r\n2006-02-15,12:33:00,3735.00,3735.00,3733.00,3733.00,2395,0\r\n2006-02-15,12:34:00,3734.00,3735.00,3732.00,3735.00,1422,0\r\n2006-02-15,12:35:00,3735.00,3735.00,3733.00,3734.00,531,0\r\n2006-02-15,12:36:00,3733.00,3734.00,3733.00,3734.00,325,0\r\n2006-02-15,12:37:00,3734.00,3735.00,3734.00,3735.00,122,0\r\n2006-02-15,12:38:00,3734.00,3735.00,3733.00,3734.00,568,0\r\n2006-02-15,12:39:00,3733.00,3734.00,3733.00,3734.00,435,0\r\n2006-02-15,12:40:00,3735.00,3736.00,3735.00,3735.00,411,0\r\n2006-02-15,12:41:00,3734.00,3735.00,3733.00,3734.00,139,0\r\n2006-02-15,12:42:00,3734.00,3735.00,3733.00,3734.00,159,0\r\n2006-02-15,12:43:00,3734.00,3735.00,3734.00,3734.00,135,0\r\n2006-02-15,12:44:00,3734.00,3735.00,3734.00,3734.00,25,0\r\n2006-02-15,12:45:00,3735.00,3735.00,3734.00,3734.00,256,0\r\n2006-02-15,12:46:00,3734.00,3735.00,3734.00,3735.00,4,0\r\n2006-02-15,12:47:00,3734.00,3734.00,3734.00,3734.00,48,0\r\n2006-02-15,12:48:00,3734.00,3735.00,3734.00,3735.00,720,0\r\n2006-02-15,12:49:00,3735.00,3735.00,3734.00,3735.00,50,0\r\n2006-02-15,12:50:00,3734.00,3736.00,3734.00,3736.00,307,0\r\n2006-02-15,12:51:00,3736.00,3737.00,3735.00,3737.00,205,0\r\n2006-02-15,12:52:00,3737.00,3738.00,3736.00,3738.00,778,0\r\n2006-02-15,12:53:00,3737.00,3738.00,3737.00,3738.00,20,0\r\n2006-02-15,12:54:00,3738.00,3738.00,3737.00,3737.00,9,0\r\n2006-02-15,12:55:00,3737.00,3738.00,3737.00,3738.00,144,0\r\n2006-02-15,12:56:00,3737.00,3738.00,3737.00,3738.00,116,0\r\n2006-02-15,12:57:00,3738.00,3738.00,3737.00,3737.00,92,0\r\n2006-02-15,12:58:00,3738.00,3738.00,3737.00,3737.00,8,0\r\n2006-02-15,12:59:00,3738.00,3739.00,3737.00,3738.00,742,0\r\n2006-02-15,13:00:00,3738.00,3738.00,3737.00,3737.00,347,0\r\n2006-02-15,13:01:00,3737.00,3737.00,3737.00,3737.00,190,0\r\n2006-02-15,13:02:00,3738.00,3738.00,3738.00,3738.00,50,0\r\n2006-02-15,13:03:00,3738.00,3738.00,3737.00,3738.00,423,0\r\n2006-02-15,13:04:00,3738.00,3738.00,3737.00,3738.00,9,0\r\n2006-02-15,13:05:00,3737.00,3738.00,3737.00,3738.00,125,0\r\n2006-02-15,13:06:00,3737.00,3738.00,3737.00,3738.00,198,0\r\n2006-02-15,13:07:00,3737.00,3737.00,3737.00,3737.00,561,0\r\n2006-02-15,13:08:00,3737.00,3739.00,3737.00,3738.00,1994,0\r\n2006-02-15,13:09:00,3739.00,3739.00,3738.00,3739.00,269,0\r\n2006-02-15,13:10:00,3738.00,3739.00,3738.00,3739.00,47,0\r\n2006-02-15,13:11:00,3738.00,3738.00,3738.00,3738.00,76,0\r\n2006-02-15,13:12:00,3738.00,3738.00,3737.00,3738.00,173,0\r\n2006-02-15,13:13:00,3738.00,3738.00,3738.00,3738.00,220,0\r\n2006-02-15,13:14:00,3737.00,3738.00,3737.00,3738.00,33,0\r\n2006-02-15,13:15:00,3738.00,3738.00,3737.00,3738.00,4,0\r\n2006-02-15,13:17:00,3737.00,3737.00,3737.00,3737.00,242,0\r\n2006-02-15,13:18:00,3738.00,3738.00,3737.00,3737.00,799,0\r\n2006-02-15,13:19:00,3737.00,3737.00,3736.00,3736.00,370,0\r\n2006-02-15,13:20:00,3736.00,3736.00,3735.00,3736.00,1117,0\r\n2006-02-15,13:21:00,3736.00,3737.00,3735.00,3737.00,827,0\r\n2006-02-15,13:22:00,3737.00,3737.00,3736.00,3737.00,224,0\r\n2006-02-15,13:23:00,3737.00,3737.00,3737.00,3737.00,716,0\r\n2006-02-15,13:24:00,3737.00,3738.00,3737.00,3737.00,80,0\r\n2006-02-15,13:25:00,3737.00,3738.00,3737.00,3738.00,301,0\r\n2006-02-15,13:26:00,3738.00,3738.00,3737.00,3737.00,84,0\r\n2006-02-15,13:27:00,3738.00,3738.00,3737.00,3737.00,15,0\r\n2006-02-15,13:28:00,3737.00,3738.00,3737.00,3737.00,400,0\r\n2006-02-15,13:29:00,3737.00,3739.00,3737.00,3738.00,194,0\r\n2006-02-15,13:30:00,3738.00,3739.00,3737.00,3737.00,126,0\r\n2006-02-15,13:31:00,3737.00,3738.00,3737.00,3737.00,304,0\r\n2006-02-15,13:32:00,3737.00,3738.00,3737.00,3737.00,205,0\r\n2006-02-15,13:33:00,3737.00,3738.00,3737.00,3737.00,138,0\r\n2006-02-15,13:34:00,3738.00,3739.00,3737.00,3739.00,69,0\r\n2006-02-15,13:35:00,3738.00,3740.00,3738.00,3740.00,222,0\r\n2006-02-15,13:36:00,3740.00,3740.00,3739.00,3740.00,43,0\r\n2006-02-15,13:37:00,3739.00,3739.00,3738.00,3738.00,161,0\r\n2006-02-15,13:38:00,3738.00,3738.00,3738.00,3738.00,855,0\r\n2006-02-15,13:39:00,3738.00,3739.00,3738.00,3739.00,36,0\r\n2006-02-15,13:40:00,3738.00,3738.00,3738.00,3738.00,252,0\r\n2006-02-15,13:41:00,3738.00,3739.00,3737.00,3738.00,939,0\r\n2006-02-15,13:42:00,3738.00,3738.00,3737.00,3737.00,70,0\r\n2006-02-15,13:43:00,3737.00,3738.00,3737.00,3737.00,42,0\r\n2006-02-15,13:44:00,3737.00,3738.00,3737.00,3738.00,117,0\r\n2006-02-15,13:45:00,3739.00,3739.00,3738.00,3739.00,148,0\r\n2006-02-15,13:46:00,3738.00,3739.00,3738.00,3738.00,189,0\r\n2006-02-15,13:47:00,3739.00,3739.00,3738.00,3739.00,836,0\r\n2006-02-15,13:48:00,3739.00,3739.00,3738.00,3739.00,1221,0\r\n2006-02-15,13:49:00,3738.00,3739.00,3738.00,3738.00,77,0\r\n2006-02-15,13:50:00,3738.00,3739.00,3737.00,3738.00,303,0\r\n2006-02-15,13:51:00,3737.00,3738.00,3737.00,3738.00,54,0\r\n2006-02-15,13:52:00,3738.00,3738.00,3738.00,3738.00,557,0\r\n2006-02-15,13:53:00,3738.00,3738.00,3738.00,3738.00,1316,0\r\n2006-02-15,13:54:00,3738.00,3739.00,3738.00,3739.00,9,0\r\n2006-02-15,13:55:00,3738.00,3738.00,3738.00,3738.00,87,0\r\n2006-02-15,13:56:00,3738.00,3739.00,3738.00,3738.00,1233,0\r\n2006-02-15,13:57:00,3739.00,3739.00,3739.00,3739.00,325,0\r\n2006-02-15,13:58:00,3738.00,3738.00,3738.00,3738.00,11,0\r\n2006-02-15,13:59:00,3738.00,3739.00,3738.00,3739.00,346,0\r\n2006-02-15,14:00:00,3739.00,3739.00,3738.00,3739.00,404,0\r\n2006-02-15,14:01:00,3738.00,3738.00,3737.00,3737.00,395,0\r\n2006-02-15,14:02:00,3737.00,3738.00,3737.00,3738.00,106,0\r\n2006-02-15,14:03:00,3737.00,3738.00,3736.00,3736.00,668,0\r\n2006-02-15,14:04:00,3737.00,3737.00,3736.00,3736.00,238,0\r\n2006-02-15,14:05:00,3737.00,3737.00,3736.00,3736.00,45,0\r\n2006-02-15,14:06:00,3736.00,3737.00,3736.00,3737.00,7,0\r\n2006-02-15,14:07:00,3737.00,3737.00,3736.00,3736.00,645,0\r\n2006-02-15,14:08:00,3736.00,3736.00,3735.00,3736.00,684,0\r\n2006-02-15,14:09:00,3735.00,3736.00,3735.00,3736.00,1407,0\r\n2006-02-15,14:10:00,3736.00,3736.00,3735.00,3735.00,793,0\r\n2006-02-15,14:11:00,3735.00,3735.00,3734.00,3735.00,398,0\r\n2006-02-15,14:12:00,3735.00,3735.00,3735.00,3735.00,594,0\r\n2006-02-15,14:13:00,3734.00,3735.00,3734.00,3735.00,782,0\r\n2006-02-15,14:14:00,3735.00,3735.00,3735.00,3735.00,251,0\r\n2006-02-15,14:15:00,3736.00,3736.00,3735.00,3735.00,647,0\r\n2006-02-15,14:16:00,3736.00,3737.00,3735.00,3736.00,181,0\r\n2006-02-15,14:17:00,3736.00,3736.00,3735.00,3736.00,113,0\r\n2006-02-15,14:18:00,3736.00,3736.00,3735.00,3735.00,205,0\r\n2006-02-15,14:19:00,3735.00,3736.00,3735.00,3736.00,85,0\r\n2006-02-15,14:20:00,3735.00,3736.00,3735.00,3735.00,99,0\r\n2006-02-15,14:21:00,3735.00,3736.00,3735.00,3735.00,805,0\r\n2006-02-15,14:22:00,3735.00,3735.00,3735.00,3735.00,194,0\r\n2006-02-15,14:23:00,3736.00,3736.00,3735.00,3735.00,152,0\r\n2006-02-15,14:24:00,3735.00,3736.00,3735.00,3736.00,208,0\r\n2006-02-15,14:25:00,3736.00,3736.00,3736.00,3736.00,42,0\r\n2006-02-15,14:26:00,3735.00,3736.00,3734.00,3734.00,792,0\r\n2006-02-15,14:27:00,3733.00,3734.00,3733.00,3734.00,611,0\r\n2006-02-15,14:28:00,3734.00,3734.00,3733.00,3734.00,33,0\r\n2006-02-15,14:29:00,3734.00,3734.00,3731.00,3732.00,4918,0\r\n2006-02-15,14:30:00,3732.00,3733.00,3732.00,3732.00,265,0\r\n2006-02-15,14:31:00,3733.00,3735.00,3732.00,3734.00,1506,0\r\n2006-02-15,14:32:00,3734.00,3734.00,3733.00,3734.00,69,0\r\n2006-02-15,14:33:00,3734.00,3734.00,3733.00,3733.00,624,0\r\n2006-02-15,14:34:00,3733.00,3734.00,3733.00,3733.00,245,0\r\n2006-02-15,14:35:00,3733.00,3734.00,3733.00,3733.00,290,0\r\n2006-02-15,14:36:00,3733.00,3734.00,3733.00,3734.00,127,0\r\n2006-02-15,14:37:00,3733.00,3734.00,3733.00,3734.00,49,0\r\n2006-02-15,14:38:00,3733.00,3734.00,3733.00,3734.00,145,0\r\n2006-02-15,14:39:00,3735.00,3736.00,3734.00,3735.00,380,0\r\n2006-02-15,14:40:00,3735.00,3736.00,3735.00,3735.00,258,0\r\n2006-02-15,14:41:00,3735.00,3736.00,3735.00,3735.00,107,0\r\n2006-02-15,14:42:00,3735.00,3736.00,3735.00,3736.00,2,0\r\n2006-02-15,14:43:00,3735.00,3736.00,3735.00,3736.00,74,0\r\n2006-02-15,14:44:00,3735.00,3736.00,3735.00,3736.00,64,0\r\n2006-02-15,14:45:00,3736.00,3737.00,3736.00,3736.00,355,0\r\n2006-02-15,14:46:00,3735.00,3737.00,3735.00,3737.00,393,0\r\n2006-02-15,14:47:00,3736.00,3736.00,3735.00,3736.00,189,0\r\n2006-02-15,14:48:00,3736.00,3736.00,3735.00,3735.00,326,0\r\n2006-02-15,14:49:00,3736.00,3737.00,3736.00,3737.00,336,0\r\n2006-02-15,14:50:00,3738.00,3739.00,3737.00,3738.00,1533,0\r\n2006-02-15,14:51:00,3737.00,3739.00,3737.00,3738.00,975,0\r\n2006-02-15,14:52:00,3738.00,3738.00,3738.00,3738.00,326,0\r\n2006-02-15,14:53:00,3737.00,3738.00,3737.00,3738.00,151,0\r\n2006-02-15,14:54:00,3738.00,3738.00,3737.00,3738.00,216,0\r\n2006-02-15,14:55:00,3738.00,3738.00,3737.00,3738.00,10,0\r\n2006-02-15,14:56:00,3737.00,3738.00,3737.00,3738.00,17,0\r\n2006-02-15,14:57:00,3737.00,3738.00,3737.00,3737.00,28,0\r\n2006-02-15,14:58:00,3738.00,3738.00,3737.00,3737.00,71,0\r\n2006-02-15,14:59:00,3737.00,3737.00,3737.00,3737.00,672,0\r\n2006-02-15,15:00:00,3738.00,3738.00,3737.00,3737.00,234,0\r\n2006-02-15,15:01:00,3737.00,3737.00,3733.00,3734.00,3902,0\r\n2006-02-15,15:02:00,3734.00,3735.00,3734.00,3735.00,1054,0\r\n2006-02-15,15:03:00,3735.00,3736.00,3735.00,3736.00,243,0\r\n2006-02-15,15:04:00,3736.00,3736.00,3734.00,3736.00,536,0\r\n2006-02-15,15:05:00,3736.00,3736.00,3735.00,3735.00,78,0\r\n2006-02-15,15:06:00,3735.00,3736.00,3735.00,3735.00,1167,0\r\n2006-02-15,15:07:00,3735.00,3736.00,3735.00,3735.00,245,0\r\n2006-02-15,15:08:00,3735.00,3735.00,3735.00,3735.00,406,0\r\n2006-02-15,15:09:00,3735.00,3735.00,3733.00,3733.00,2359,0\r\n2006-02-15,15:10:00,3734.00,3735.00,3734.00,3734.00,621,0\r\n2006-02-15,15:11:00,3734.00,3734.00,3734.00,3734.00,47,0\r\n2006-02-15,15:12:00,3735.00,3735.00,3735.00,3735.00,15,0\r\n2006-02-15,15:13:00,3734.00,3736.00,3734.00,3736.00,1026,0\r\n2006-02-15,15:14:00,3736.00,3737.00,3735.00,3735.00,780,0\r\n2006-02-15,15:15:00,3735.00,3735.00,3734.00,3734.00,518,0\r\n2006-02-15,15:16:00,3734.00,3735.00,3733.00,3733.00,1378,0\r\n2006-02-15,15:17:00,3733.00,3735.00,3733.00,3735.00,988,0\r\n2006-02-15,15:18:00,3735.00,3736.00,3734.00,3735.00,384,0\r\n2006-02-15,15:19:00,3734.00,3736.00,3734.00,3735.00,521,0\r\n2006-02-15,15:20:00,3735.00,3736.00,3735.00,3735.00,42,0\r\n2006-02-15,15:21:00,3735.00,3736.00,3734.00,3735.00,217,0\r\n2006-02-15,15:22:00,3735.00,3736.00,3734.00,3735.00,292,0\r\n2006-02-15,15:23:00,3734.00,3734.00,3734.00,3734.00,5,0\r\n2006-02-15,15:24:00,3734.00,3734.00,3734.00,3734.00,6,0\r\n2006-02-15,15:25:00,3735.00,3735.00,3734.00,3735.00,70,0\r\n2006-02-15,15:26:00,3735.00,3735.00,3735.00,3735.00,780,0\r\n2006-02-15,15:27:00,3734.00,3734.00,3734.00,3734.00,464,0\r\n2006-02-15,15:28:00,3734.00,3735.00,3734.00,3734.00,350,0\r\n2006-02-15,15:29:00,3733.00,3733.00,3732.00,3732.00,1040,0\r\n2006-02-15,15:30:00,3732.00,3732.00,3728.00,3729.00,3510,0\r\n2006-02-15,15:31:00,3729.00,3730.00,3729.00,3730.00,1718,0\r\n2006-02-15,15:32:00,3730.00,3731.00,3729.00,3730.00,1171,0\r\n2006-02-15,15:33:00,3731.00,3732.00,3730.00,3732.00,587,0\r\n2006-02-15,15:34:00,3731.00,3732.00,3730.00,3731.00,1203,0\r\n2006-02-15,15:35:00,3731.00,3733.00,3730.00,3733.00,441,0\r\n2006-02-15,15:36:00,3732.00,3733.00,3732.00,3732.00,215,0\r\n2006-02-15,15:37:00,3733.00,3734.00,3732.00,3733.00,1167,0\r\n2006-02-15,15:38:00,3733.00,3734.00,3732.00,3733.00,703,0\r\n2006-02-15,15:39:00,3733.00,3733.00,3731.00,3732.00,1035,0\r\n2006-02-15,15:40:00,3732.00,3735.00,3731.00,3734.00,1418,0\r\n2006-02-15,15:41:00,3734.00,3735.00,3733.00,3734.00,532,0\r\n2006-02-15,15:42:00,3735.00,3735.00,3733.00,3734.00,928,0\r\n2006-02-15,15:43:00,3734.00,3734.00,3733.00,3733.00,441,0\r\n2006-02-15,15:44:00,3733.00,3735.00,3733.00,3733.00,842,0\r\n2006-02-15,15:45:00,3734.00,3734.00,3734.00,3734.00,175,0\r\n2006-02-15,15:46:00,3734.00,3736.00,3734.00,3734.00,943,0\r\n2006-02-15,15:47:00,3734.00,3734.00,3733.00,3734.00,4540,0\r\n2006-02-15,15:48:00,3735.00,3736.00,3734.00,3735.00,1079,0\r\n2006-02-15,15:49:00,3735.00,3736.00,3734.00,3735.00,476,0\r\n2006-02-15,15:50:00,3736.00,3736.00,3733.00,3734.00,2146,0\r\n2006-02-15,15:51:00,3734.00,3735.00,3734.00,3735.00,190,0\r\n2006-02-15,15:52:00,3735.00,3736.00,3735.00,3735.00,305,0\r\n2006-02-15,15:53:00,3736.00,3737.00,3735.00,3737.00,604,0\r\n2006-02-15,15:54:00,3737.00,3738.00,3736.00,3738.00,311,0\r\n2006-02-15,15:55:00,3738.00,3738.00,3737.00,3737.00,4621,0\r\n2006-02-15,15:56:00,3738.00,3740.00,3737.00,3737.00,1531,0\r\n2006-02-15,15:57:00,3737.00,3738.00,3737.00,3738.00,473,0\r\n2006-02-15,15:58:00,3739.00,3739.00,3737.00,3738.00,119,0\r\n2006-02-15,15:59:00,3739.00,3740.00,3738.00,3739.00,846,0\r\n2006-02-15,16:00:00,3739.00,3739.00,3738.00,3739.00,113,0\r\n2006-02-15,16:01:00,3739.00,3740.00,3732.00,3733.00,4206,0\r\n2006-02-15,16:02:00,3733.00,3734.00,3728.00,3730.00,7267,0\r\n2006-02-15,16:03:00,3730.00,3731.00,3727.00,3729.00,5003,0\r\n2006-02-15,16:04:00,3730.00,3732.00,3729.00,3729.00,5315,0\r\n2006-02-15,16:05:00,3729.00,3730.00,3727.00,3730.00,4482,0\r\n2006-02-15,16:06:00,3730.00,3731.00,3728.00,3728.00,3113,0\r\n2006-02-15,16:07:00,3728.00,3735.00,3728.00,3735.00,4152,0\r\n2006-02-15,16:08:00,3735.00,3740.00,3735.00,3739.00,4187,0\r\n2006-02-15,16:09:00,3740.00,3740.00,3736.00,3738.00,2646,0\r\n2006-02-15,16:10:00,3738.00,3745.00,3737.00,3744.00,9971,0\r\n2006-02-15,16:11:00,3744.00,3748.00,3743.00,3748.00,10653,0\r\n2006-02-15,16:12:00,3747.00,3748.00,3745.00,3748.00,6700,0\r\n2006-02-15,16:13:00,3748.00,3750.00,3745.00,3746.00,6412,0\r\n2006-02-15,16:14:00,3746.00,3749.00,3745.00,3747.00,3552,0\r\n2006-02-15,16:15:00,3748.00,3749.00,3746.00,3748.00,5303,0\r\n2006-02-15,16:16:00,3748.00,3754.00,3748.00,3753.00,5716,0\r\n2006-02-15,16:17:00,3753.00,3754.00,3751.00,3752.00,6148,0\r\n2006-02-15,16:18:00,3752.00,3755.00,3750.00,3754.00,3867,0\r\n2006-02-15,16:19:00,3755.00,3756.00,3751.00,3751.00,4202,0\r\n2006-02-15,16:20:00,3751.00,3752.00,3751.00,3752.00,3357,0\r\n2006-02-15,16:21:00,3752.00,3755.00,3752.00,3754.00,4175,0\r\n2006-02-15,16:22:00,3754.00,3756.00,3754.00,3754.00,4756,0\r\n2006-02-15,16:23:00,3754.00,3756.00,3752.00,3755.00,4597,0\r\n2006-02-15,16:24:00,3755.00,3757.00,3754.00,3755.00,5079,0\r\n2006-02-15,16:25:00,3755.00,3755.00,3751.00,3751.00,2354,0\r\n2006-02-15,16:26:00,3752.00,3754.00,3751.00,3751.00,3044,0\r\n2006-02-15,16:27:00,3751.00,3753.00,3750.00,3752.00,2075,0\r\n2006-02-15,16:28:00,3752.00,3753.00,3751.00,3752.00,1468,0\r\n2006-02-15,16:29:00,3752.00,3752.00,3747.00,3747.00,4107,0\r\n2006-02-15,16:30:00,3747.00,3748.00,3746.00,3748.00,3030,0\r\n2006-02-15,16:31:00,3747.00,3749.00,3746.00,3747.00,3214,0\r\n2006-02-15,16:32:00,3747.00,3748.00,3744.00,3748.00,3974,0\r\n2006-02-15,16:33:00,3748.00,3750.00,3747.00,3750.00,2077,0\r\n2006-02-15,16:34:00,3749.00,3750.00,3747.00,3748.00,2673,0\r\n2006-02-15,16:35:00,3748.00,3751.00,3747.00,3750.00,3703,0\r\n2006-02-15,16:36:00,3751.00,3751.00,3749.00,3750.00,1601,0\r\n2006-02-15,16:37:00,3750.00,3751.00,3748.00,3750.00,1372,0\r\n2006-02-15,16:38:00,3750.00,3750.00,3747.00,3747.00,1872,0\r\n2006-02-15,16:39:00,3747.00,3747.00,3744.00,3746.00,4112,0\r\n2006-02-15,16:40:00,3746.00,3747.00,3745.00,3746.00,1658,0\r\n2006-02-15,16:41:00,3746.00,3747.00,3745.00,3745.00,2584,0\r\n2006-02-15,16:42:00,3745.00,3748.00,3743.00,3748.00,6429,0\r\n2006-02-15,16:43:00,3748.00,3749.00,3746.00,3747.00,1628,0\r\n2006-02-15,16:44:00,3748.00,3750.00,3747.00,3749.00,380,0\r\n2006-02-15,16:45:00,3750.00,3751.00,3748.00,3748.00,2071,0\r\n2006-02-15,16:46:00,3749.00,3751.00,3748.00,3750.00,1643,0\r\n2006-02-15,16:47:00,3750.00,3752.00,3749.00,3752.00,2633,0\r\n2006-02-15,16:48:00,3752.00,3753.00,3751.00,3752.00,2615,0\r\n2006-02-15,16:49:00,3751.00,3752.00,3749.00,3749.00,960,0\r\n2006-02-15,16:50:00,3750.00,3751.00,3749.00,3750.00,540,0\r\n2006-02-15,16:51:00,3749.00,3750.00,3748.00,3750.00,1697,0\r\n2006-02-15,16:52:00,3749.00,3749.00,3747.00,3747.00,969,0\r\n2006-02-15,16:53:00,3748.00,3749.00,3747.00,3748.00,1229,0\r\n2006-02-15,16:54:00,3748.00,3748.00,3744.00,3745.00,2662,0\r\n2006-02-15,16:55:00,3745.00,3747.00,3744.00,3747.00,2659,0\r\n2006-02-15,16:56:00,3746.00,3747.00,3745.00,3747.00,644,0\r\n2006-02-15,16:57:00,3747.00,3747.00,3746.00,3747.00,695,0\r\n2006-02-15,16:58:00,3747.00,3747.00,3745.00,3746.00,799,0\r\n2006-02-15,16:59:00,3745.00,3747.00,3744.00,3746.00,1874,0\r\n2006-02-15,17:00:00,3747.00,3748.00,3747.00,3747.00,460,0\r\n2006-02-15,17:01:00,3747.00,3748.00,3745.00,3746.00,2061,0\r\n2006-02-15,17:02:00,3745.00,3746.00,3741.00,3741.00,4010,0\r\n2006-02-15,17:03:00,3741.00,3742.00,3741.00,3741.00,2227,0\r\n2006-02-15,17:04:00,3741.00,3742.00,3739.00,3740.00,2620,0\r\n2006-02-15,17:05:00,3740.00,3741.00,3739.00,3740.00,2693,0\r\n2006-02-15,17:06:00,3740.00,3742.00,3739.00,3740.00,11909,0\r\n2006-02-15,17:07:00,3740.00,3742.00,3740.00,3740.00,985,0\r\n2006-02-15,17:08:00,3741.00,3742.00,3741.00,3742.00,779,0\r\n2006-02-15,17:09:00,3742.00,3742.00,3740.00,3740.00,1705,0\r\n2006-02-15,17:10:00,3740.00,3740.00,3738.00,3739.00,1765,0\r\n2006-02-15,17:11:00,3740.00,3741.00,3736.00,3737.00,3752,0\r\n2006-02-15,17:12:00,3736.00,3737.00,3735.00,3736.00,4175,0\r\n2006-02-15,17:13:00,3735.00,3736.00,3733.00,3734.00,4409,0\r\n2006-02-15,17:14:00,3733.00,3735.00,3733.00,3735.00,2963,0\r\n2006-02-15,17:15:00,3735.00,3736.00,3735.00,3735.00,1792,0\r\n2006-02-15,17:16:00,3735.00,3737.00,3735.00,3737.00,1613,0\r\n2006-02-15,17:17:00,3737.00,3738.00,3736.00,3737.00,800,0\r\n2006-02-15,17:18:00,3737.00,3737.00,3734.00,3736.00,2319,0\r\n2006-02-15,17:19:00,3736.00,3739.00,3736.00,3739.00,1513,0\r\n2006-02-15,17:20:00,3739.00,3740.00,3737.00,3738.00,1577,0\r\n2006-02-15,17:21:00,3738.00,3739.00,3737.00,3738.00,611,0\r\n2006-02-15,17:22:00,3737.00,3738.00,3737.00,3737.00,529,0\r\n2006-02-15,17:23:00,3736.00,3738.00,3736.00,3737.00,1825,0\r\n2006-02-15,17:24:00,3737.00,3739.00,3735.00,3736.00,3795,0\r\n2006-02-15,17:25:00,3737.00,3738.00,3736.00,3738.00,1097,0\r\n2006-02-15,17:26:00,3738.00,3741.00,3737.00,3741.00,1839,0\r\n2006-02-15,17:27:00,3741.00,3741.00,3738.00,3738.00,1600,0\r\n2006-02-15,17:28:00,3738.00,3739.00,3736.00,3737.00,2089,0\r\n2006-02-15,17:29:00,3736.00,3738.00,3736.00,3737.00,1733,0\r\n2006-02-15,17:30:00,3737.00,3738.00,3736.00,3737.00,5669,0\r\n2006-02-15,17:31:00,3738.00,3740.00,3736.00,3737.00,6223,0\r\n2006-02-15,17:32:00,3738.00,3740.00,3737.00,3737.00,2734,0\r\n2006-02-15,17:33:00,3738.00,3738.00,3736.00,3737.00,2544,0\r\n2006-02-15,17:34:00,3737.00,3738.00,3737.00,3737.00,803,0\r\n2006-02-15,17:35:00,3737.00,3738.00,3736.00,3736.00,2415,0\r\n2006-02-15,17:36:00,3736.00,3736.00,3732.00,3733.00,2907,0\r\n2006-02-15,17:37:00,3733.00,3734.00,3732.00,3733.00,993,0\r\n2006-02-15,17:38:00,3733.00,3735.00,3733.00,3734.00,1113,0\r\n2006-02-15,17:39:00,3734.00,3736.00,3734.00,3734.00,984,0\r\n2006-02-15,17:40:00,3734.00,3736.00,3734.00,3735.00,759,0\r\n2006-02-15,17:41:00,3735.00,3736.00,3735.00,3736.00,628,0\r\n2006-02-15,17:42:00,3736.00,3738.00,3736.00,3737.00,1858,0\r\n2006-02-15,17:43:00,3738.00,3739.00,3737.00,3738.00,1662,0\r\n2006-02-15,17:44:00,3738.00,3739.00,3738.00,3738.00,2582,0\r\n2006-02-15,17:45:00,3738.00,3739.00,3737.00,3739.00,6906,0\r\n2006-02-15,17:46:00,3739.00,3739.00,3736.00,3736.00,572,0\r\n2006-02-15,17:47:00,3737.00,3737.00,3736.00,3736.00,204,0\r\n2006-02-15,17:48:00,3736.00,3737.00,3736.00,3737.00,869,0\r\n2006-02-15,17:49:00,3737.00,3738.00,3736.00,3736.00,273,0\r\n2006-02-15,17:50:00,3737.00,3737.00,3736.00,3737.00,624,0\r\n2006-02-15,17:51:00,3738.00,3739.00,3738.00,3739.00,550,0\r\n2006-02-15,17:52:00,3738.00,3738.00,3738.00,3738.00,102,0\r\n2006-02-15,17:53:00,3738.00,3739.00,3737.00,3738.00,1222,0\r\n2006-02-15,17:54:00,3738.00,3740.00,3738.00,3740.00,931,0\r\n2006-02-15,17:55:00,3740.00,3742.00,3739.00,3742.00,1422,0\r\n2006-02-15,17:56:00,3742.00,3745.00,3742.00,3745.00,2120,0\r\n2006-02-15,17:57:00,3745.00,3746.00,3744.00,3746.00,2087,0\r\n2006-02-15,17:58:00,3745.00,3745.00,3744.00,3744.00,560,0\r\n2006-02-15,17:59:00,3744.00,3745.00,3743.00,3745.00,962,0\r\n2006-02-15,18:00:00,3744.00,3745.00,3744.00,3744.00,266,0\r\n2006-02-15,18:01:00,3744.00,3745.00,3744.00,3745.00,1187,0\r\n2006-02-15,18:02:00,3746.00,3746.00,3744.00,3745.00,487,0\r\n2006-02-15,18:03:00,3745.00,3747.00,3745.00,3745.00,558,0\r\n2006-02-15,18:04:00,3745.00,3746.00,3742.00,3742.00,534,0\r\n2006-02-15,18:05:00,3743.00,3743.00,3740.00,3740.00,483,0\r\n2006-02-15,18:06:00,3740.00,3742.00,3740.00,3741.00,330,0\r\n2006-02-15,18:07:00,3741.00,3741.00,3740.00,3740.00,255,0\r\n2006-02-15,18:09:00,3740.00,3741.00,3740.00,3741.00,285,0\r\n2006-02-15,18:10:00,3740.00,3740.00,3740.00,3740.00,235,0\r\n2006-02-15,18:11:00,3741.00,3742.00,3740.00,3740.00,1028,0\r\n2006-02-15,18:12:00,3740.00,3741.00,3740.00,3740.00,277,0\r\n2006-02-15,18:13:00,3740.00,3741.00,3740.00,3741.00,127,0\r\n2006-02-15,18:14:00,3740.00,3740.00,3738.00,3738.00,386,0\r\n2006-02-15,18:15:00,3738.00,3738.00,3736.00,3737.00,974,0\r\n2006-02-15,18:16:00,3738.00,3738.00,3735.00,3735.00,463,0\r\n2006-02-15,18:17:00,3735.00,3737.00,3734.00,3737.00,1027,0\r\n2006-02-15,18:18:00,3737.00,3738.00,3736.00,3737.00,311,0\r\n2006-02-15,18:19:00,3736.00,3737.00,3735.00,3735.00,750,0\r\n2006-02-15,18:20:00,3736.00,3737.00,3734.00,3734.00,838,0\r\n2006-02-15,18:21:00,3734.00,3734.00,3733.00,3734.00,263,0\r\n2006-02-15,18:22:00,3734.00,3736.00,3734.00,3735.00,660,0\r\n2006-02-15,18:23:00,3735.00,3737.00,3735.00,3736.00,188,0\r\n2006-02-15,18:24:00,3736.00,3736.00,3735.00,3735.00,47,0\r\n2006-02-15,18:25:00,3735.00,3735.00,3732.00,3734.00,683,0\r\n2006-02-15,18:26:00,3734.00,3735.00,3732.00,3733.00,433,0\r\n2006-02-15,18:27:00,3734.00,3734.00,3733.00,3733.00,80,0\r\n2006-02-15,18:28:00,3734.00,3735.00,3734.00,3734.00,621,0\r\n2006-02-15,18:29:00,3734.00,3734.00,3733.00,3733.00,176,0\r\n2006-02-15,18:30:00,3734.00,3734.00,3734.00,3734.00,300,0\r\n2006-02-15,18:31:00,3734.00,3735.00,3731.00,3731.00,629,0\r\n2006-02-15,18:32:00,3731.00,3731.00,3725.00,3727.00,5080,0\r\n2006-02-15,18:33:00,3727.00,3728.00,3726.00,3728.00,1011,0\r\n2006-02-15,18:34:00,3727.00,3730.00,3727.00,3729.00,1048,0\r\n2006-02-15,18:35:00,3729.00,3730.00,3729.00,3730.00,224,0\r\n2006-02-15,18:36:00,3729.00,3729.00,3729.00,3729.00,284,0\r\n2006-02-15,18:37:00,3728.00,3728.00,3723.00,3725.00,2494,0\r\n2006-02-15,18:38:00,3725.00,3726.00,3723.00,3724.00,952,0\r\n2006-02-15,18:39:00,3723.00,3724.00,3721.00,3723.00,2349,0\r\n2006-02-15,18:40:00,3723.00,3724.00,3723.00,3723.00,281,0\r\n2006-02-15,18:41:00,3724.00,3726.00,3723.00,3726.00,563,0\r\n2006-02-15,18:42:00,3726.00,3727.00,3726.00,3727.00,208,0\r\n2006-02-15,18:43:00,3727.00,3728.00,3727.00,3727.00,271,0\r\n2006-02-15,18:44:00,3727.00,3728.00,3726.00,3728.00,174,0\r\n2006-02-15,18:45:00,3728.00,3728.00,3727.00,3727.00,190,0\r\n2006-02-15,18:46:00,3727.00,3727.00,3727.00,3727.00,122,0\r\n2006-02-15,18:47:00,3727.00,3728.00,3726.00,3727.00,85,0\r\n2006-02-15,18:48:00,3726.00,3727.00,3725.00,3725.00,338,0\r\n2006-02-15,18:49:00,3725.00,3725.00,3724.00,3725.00,954,0\r\n2006-02-15,18:50:00,3725.00,3727.00,3725.00,3726.00,286,0\r\n2006-02-15,18:51:00,3727.00,3727.00,3727.00,3727.00,27,0\r\n2006-02-15,18:52:00,3727.00,3727.00,3726.00,3726.00,28,0\r\n2006-02-15,18:53:00,3726.00,3728.00,3726.00,3728.00,522,0\r\n2006-02-15,18:54:00,3728.00,3729.00,3728.00,3729.00,372,0\r\n2006-02-15,18:55:00,3729.00,3729.00,3728.00,3728.00,81,0\r\n2006-02-15,18:56:00,3729.00,3730.00,3729.00,3730.00,666,0\r\n2006-02-15,18:57:00,3730.00,3730.00,3730.00,3730.00,21,0\r\n2006-02-15,18:58:00,3731.00,3733.00,3731.00,3732.00,744,0\r\n2006-02-15,18:59:00,3732.00,3733.00,3731.00,3731.00,117,0\r\n2006-02-15,19:00:00,3731.00,3731.00,3731.00,3731.00,169,0\r\n2006-02-15,19:01:00,3731.00,3732.00,3731.00,3732.00,189,0\r\n2006-02-15,19:02:00,3733.00,3734.00,3733.00,3733.00,284,0\r\n2006-02-15,19:03:00,3733.00,3733.00,3732.00,3732.00,55,0\r\n2006-02-15,19:04:00,3733.00,3734.00,3733.00,3733.00,196,0\r\n2006-02-15,19:05:00,3733.00,3734.00,3733.00,3734.00,144,0\r\n2006-02-15,19:06:00,3735.00,3735.00,3731.00,3732.00,285,0\r\n2006-02-15,19:07:00,3732.00,3733.00,3732.00,3732.00,36,0\r\n2006-02-15,19:08:00,3732.00,3733.00,3731.00,3732.00,400,0\r\n2006-02-15,19:09:00,3732.00,3733.00,3732.00,3733.00,40,0\r\n2006-02-15,19:10:00,3734.00,3735.00,3733.00,3735.00,187,0\r\n2006-02-15,19:11:00,3736.00,3737.00,3735.00,3737.00,658,0\r\n2006-02-15,19:12:00,3736.00,3736.00,3736.00,3736.00,239,0\r\n2006-02-15,19:13:00,3736.00,3736.00,3734.00,3735.00,160,0\r\n2006-02-15,19:14:00,3734.00,3735.00,3734.00,3734.00,340,0\r\n2006-02-15,19:15:00,3734.00,3734.00,3734.00,3734.00,47,0\r\n2006-02-15,19:16:00,3734.00,3736.00,3734.00,3734.00,420,0\r\n2006-02-15,19:17:00,3734.00,3735.00,3734.00,3735.00,94,0\r\n2006-02-15,19:18:00,3734.00,3735.00,3734.00,3735.00,155,0\r\n2006-02-15,19:19:00,3735.00,3736.00,3735.00,3736.00,502,0\r\n2006-02-15,19:20:00,3737.00,3737.00,3737.00,3737.00,130,0\r\n2006-02-15,19:21:00,3737.00,3737.00,3736.00,3737.00,311,0\r\n2006-02-15,19:22:00,3737.00,3738.00,3737.00,3737.00,358,0\r\n2006-02-15,19:23:00,3737.00,3740.00,3737.00,3738.00,241,0\r\n2006-02-15,19:24:00,3737.00,3738.00,3736.00,3736.00,118,0\r\n2006-02-15,19:25:00,3737.00,3737.00,3737.00,3737.00,37,0\r\n2006-02-15,19:26:00,3737.00,3737.00,3736.00,3736.00,130,0\r\n2006-02-15,19:27:00,3737.00,3737.00,3736.00,3736.00,6,0\r\n2006-02-15,19:28:00,3737.00,3737.00,3737.00,3737.00,36,0\r\n2006-02-15,19:29:00,3737.00,3737.00,3736.00,3736.00,149,0\r\n2006-02-15,19:31:00,3737.00,3737.00,3737.00,3737.00,251,0\r\n2006-02-15,19:32:00,3737.00,3738.00,3737.00,3738.00,380,0\r\n2006-02-15,19:33:00,3738.00,3739.00,3738.00,3739.00,460,0\r\n2006-02-15,19:34:00,3739.00,3740.00,3739.00,3739.00,220,0\r\n2006-02-15,19:35:00,3739.00,3739.00,3738.00,3738.00,178,0\r\n2006-02-15,19:37:00,3738.00,3738.00,3738.00,3738.00,53,0\r\n2006-02-15,19:39:00,3737.00,3737.00,3737.00,3737.00,1,0\r\n2006-02-15,19:40:00,3737.00,3737.00,3737.00,3737.00,78,0\r\n2006-02-15,19:41:00,3737.00,3737.00,3736.00,3736.00,341,0\r\n2006-02-15,19:42:00,3736.00,3736.00,3735.00,3735.00,239,0\r\n2006-02-15,19:43:00,3735.00,3737.00,3735.00,3736.00,112,0\r\n2006-02-15,19:44:00,3736.00,3736.00,3736.00,3736.00,126,0\r\n2006-02-15,19:45:00,3736.00,3736.00,3736.00,3736.00,41,0\r\n2006-02-15,19:46:00,3736.00,3736.00,3735.00,3735.00,223,0\r\n2006-02-15,19:47:00,3735.00,3735.00,3733.00,3734.00,127,0\r\n2006-02-15,19:48:00,3734.00,3734.00,3729.00,3731.00,1483,0\r\n2006-02-15,19:49:00,3731.00,3731.00,3730.00,3730.00,324,0\r\n2006-02-15,19:50:00,3731.00,3732.00,3731.00,3732.00,323,0\r\n2006-02-15,19:51:00,3733.00,3734.00,3733.00,3733.00,177,0\r\n2006-02-15,19:52:00,3733.00,3735.00,3733.00,3735.00,131,0\r\n2006-02-15,19:53:00,3735.00,3735.00,3734.00,3734.00,268,0\r\n2006-02-15,19:54:00,3733.00,3733.00,3731.00,3733.00,653,0\r\n2006-02-15,19:55:00,3734.00,3736.00,3734.00,3735.00,438,0\r\n2006-02-15,19:56:00,3735.00,3737.00,3735.00,3736.00,82,0\r\n2006-02-15,19:57:00,3736.00,3737.00,3736.00,3737.00,219,0\r\n2006-02-15,19:58:00,3736.00,3737.00,3736.00,3736.00,12,0\r\n2006-02-15,19:59:00,3737.00,3738.00,3737.00,3737.00,318,0\r\n2006-02-15,20:00:00,3737.00,3738.00,3737.00,3738.00,138,0\r\n2006-02-15,20:01:00,3738.00,3739.00,3737.00,3737.00,43,0\r\n2006-02-15,20:02:00,3737.00,3737.00,3737.00,3737.00,32,0\r\n2006-02-15,20:03:00,3737.00,3737.00,3737.00,3737.00,10,0\r\n2006-02-15,20:04:00,3738.00,3738.00,3737.00,3737.00,72,0\r\n2006-02-15,20:05:00,3738.00,3738.00,3735.00,3735.00,140,0\r\n2006-02-15,20:06:00,3736.00,3737.00,3736.00,3737.00,113,0\r\n2006-02-15,20:07:00,3737.00,3737.00,3737.00,3737.00,4,0\r\n2006-02-15,20:08:00,3736.00,3736.00,3734.00,3734.00,189,0\r\n2006-02-15,20:09:00,3735.00,3735.00,3734.00,3734.00,61,0\r\n2006-02-15,20:10:00,3735.00,3735.00,3735.00,3735.00,59,0\r\n2006-02-15,20:11:00,3735.00,3735.00,3735.00,3735.00,4,0\r\n2006-02-15,20:12:00,3736.00,3737.00,3736.00,3737.00,129,0\r\n2006-02-15,20:13:00,3736.00,3737.00,3736.00,3737.00,18,0\r\n2006-02-15,20:14:00,3737.00,3737.00,3736.00,3736.00,98,0\r\n2006-02-15,20:15:00,3736.00,3736.00,3736.00,3736.00,21,0\r\n2006-02-15,20:16:00,3736.00,3736.00,3736.00,3736.00,3,0\r\n2006-02-15,20:17:00,3736.00,3736.00,3735.00,3735.00,118,0\r\n2006-02-15,20:18:00,3735.00,3736.00,3735.00,3736.00,70,0\r\n2006-02-15,20:20:00,3737.00,3737.00,3737.00,3737.00,60,0\r\n2006-02-15,20:21:00,3738.00,3738.00,3737.00,3737.00,154,0\r\n2006-02-15,20:22:00,3737.00,3737.00,3736.00,3736.00,108,0\r\n2006-02-15,20:23:00,3736.00,3737.00,3736.00,3736.00,35,0\r\n2006-02-15,20:24:00,3737.00,3737.00,3737.00,3737.00,2,0\r\n2006-02-15,20:25:00,3737.00,3739.00,3737.00,3738.00,134,0\r\n2006-02-15,20:27:00,3739.00,3740.00,3739.00,3740.00,121,0\r\n2006-02-15,20:28:00,3740.00,3741.00,3739.00,3740.00,44,0\r\n2006-02-15,20:29:00,3739.00,3739.00,3739.00,3739.00,10,0\r\n2006-02-15,20:30:00,3739.00,3740.00,3739.00,3740.00,25,0\r\n2006-02-15,20:31:00,3740.00,3741.00,3740.00,3740.00,114,0\r\n2006-02-15,20:32:00,3740.00,3740.00,3739.00,3739.00,36,0\r\n2006-02-15,20:33:00,3739.00,3739.00,3738.00,3739.00,73,0\r\n2006-02-15,20:34:00,3739.00,3739.00,3739.00,3739.00,7,0\r\n2006-02-15,20:35:00,3740.00,3740.00,3740.00,3740.00,52,0\r\n2006-02-15,20:36:00,3740.00,3740.00,3740.00,3740.00,1,0\r\n2006-02-15,20:37:00,3739.00,3740.00,3739.00,3740.00,51,0\r\n2006-02-15,20:38:00,3740.00,3740.00,3740.00,3740.00,51,0\r\n2006-02-15,20:39:00,3740.00,3740.00,3738.00,3738.00,49,0\r\n2006-02-15,20:40:00,3738.00,3738.00,3738.00,3738.00,103,0\r\n2006-02-15,20:41:00,3739.00,3739.00,3739.00,3739.00,50,0\r\n2006-02-15,20:42:00,3738.00,3738.00,3738.00,3738.00,24,0\r\n2006-02-15,20:43:00,3738.00,3740.00,3738.00,3739.00,121,0\r\n2006-02-15,20:44:00,3740.00,3740.00,3738.00,3738.00,40,0\r\n2006-02-15,20:45:00,3737.00,3738.00,3737.00,3738.00,168,0\r\n2006-02-15,20:46:00,3739.00,3739.00,3738.00,3738.00,47,0\r\n2006-02-15,20:47:00,3738.00,3738.00,3738.00,3738.00,1,0\r\n2006-02-15,20:48:00,3738.00,3738.00,3738.00,3738.00,42,0\r\n2006-02-15,20:50:00,3737.00,3737.00,3735.00,3735.00,66,0\r\n2006-02-15,20:51:00,3736.00,3736.00,3735.00,3735.00,64,0\r\n2006-02-15,20:52:00,3735.00,3736.00,3735.00,3736.00,22,0\r\n2006-02-15,20:53:00,3737.00,3737.00,3737.00,3737.00,20,0\r\n2006-02-15,20:54:00,3738.00,3739.00,3738.00,3739.00,161,0\r\n2006-02-15,20:55:00,3739.00,3739.00,3739.00,3739.00,13,0\r\n2006-02-15,20:56:00,3739.00,3739.00,3739.00,3739.00,14,0\r\n2006-02-15,20:57:00,3739.00,3740.00,3739.00,3740.00,70,0\r\n2006-02-15,20:58:00,3740.00,3744.00,3740.00,3743.00,418,0\r\n2006-02-15,20:59:00,3743.00,3743.00,3742.00,3743.00,194,0\r\n2006-02-15,21:00:00,3743.00,3744.00,3743.00,3743.00,432,0\r\n2006-02-15,21:01:00,3743.00,3744.00,3741.00,3742.00,179,0\r\n2006-02-15,21:02:00,3741.00,3741.00,3741.00,3741.00,16,0\r\n2006-02-15,21:03:00,3741.00,3741.00,3741.00,3741.00,47,0\r\n2006-02-15,21:04:00,3741.00,3741.00,3739.00,3739.00,332,0\r\n2006-02-15,21:05:00,3738.00,3739.00,3738.00,3738.00,57,0\r\n2006-02-15,21:06:00,3738.00,3740.00,3738.00,3740.00,40,0\r\n2006-02-15,21:07:00,3740.00,3740.00,3739.00,3739.00,23,0\r\n2006-02-15,21:08:00,3739.00,3740.00,3739.00,3740.00,4,0\r\n2006-02-15,21:10:00,3739.00,3739.00,3739.00,3739.00,5,0\r\n2006-02-15,21:11:00,3738.00,3738.00,3738.00,3738.00,27,0\r\n2006-02-15,21:12:00,3738.00,3739.00,3738.00,3739.00,148,0\r\n2006-02-15,21:13:00,3738.00,3738.00,3738.00,3738.00,22,0\r\n2006-02-15,21:14:00,3737.00,3737.00,3736.00,3736.00,146,0\r\n2006-02-15,21:15:00,3736.00,3736.00,3736.00,3736.00,50,0\r\n2006-02-15,21:16:00,3737.00,3738.00,3737.00,3737.00,199,0\r\n2006-02-15,21:17:00,3738.00,3738.00,3737.00,3737.00,9,0\r\n2006-02-15,21:18:00,3736.00,3736.00,3736.00,3736.00,20,0\r\n2006-02-15,21:19:00,3737.00,3737.00,3737.00,3737.00,11,0\r\n2006-02-15,21:20:00,3737.00,3737.00,3737.00,3737.00,11,0\r\n2006-02-15,21:21:00,3737.00,3737.00,3736.00,3736.00,23,0\r\n2006-02-15,21:22:00,3735.00,3737.00,3735.00,3737.00,53,0\r\n2006-02-15,21:24:00,3737.00,3737.00,3737.00,3737.00,8,0\r\n2006-02-15,21:25:00,3737.00,3738.00,3737.00,3737.00,128,0\r\n2006-02-15,21:26:00,3738.00,3739.00,3738.00,3738.00,94,0\r\n2006-02-15,21:27:00,3739.00,3740.00,3739.00,3740.00,51,0\r\n2006-02-15,21:28:00,3738.00,3738.00,3737.00,3737.00,26,0\r\n2006-02-15,21:29:00,3737.00,3737.00,3737.00,3737.00,7,0\r\n2006-02-15,21:30:00,3737.00,3737.00,3737.00,3737.00,5,0\r\n2006-02-15,21:31:00,3737.00,3738.00,3737.00,3738.00,72,0\r\n2006-02-15,21:32:00,3738.00,3739.00,3738.00,3738.00,74,0\r\n2006-02-15,21:33:00,3739.00,3739.00,3738.00,3738.00,2,0\r\n2006-02-15,21:34:00,3739.00,3739.00,3739.00,3739.00,1,0\r\n2006-02-15,21:35:00,3739.00,3739.00,3739.00,3739.00,11,0\r\n2006-02-15,21:36:00,3740.00,3740.00,3740.00,3740.00,66,0\r\n2006-02-15,21:38:00,3739.00,3739.00,3739.00,3739.00,77,0\r\n2006-02-15,21:39:00,3740.00,3740.00,3740.00,3740.00,84,0\r\n2006-02-15,21:40:00,3740.00,3740.00,3740.00,3740.00,29,0\r\n2006-02-15,21:41:00,3741.00,3741.00,3741.00,3741.00,3,0\r\n2006-02-15,21:42:00,3740.00,3740.00,3740.00,3740.00,30,0\r\n2006-02-15,21:43:00,3741.00,3741.00,3741.00,3741.00,51,0\r\n2006-02-15,21:44:00,3741.00,3741.00,3740.00,3740.00,27,0\r\n2006-02-15,21:45:00,3740.00,3740.00,3740.00,3740.00,1,0\r\n2006-02-15,21:46:00,3740.00,3740.00,3740.00,3740.00,6,0\r\n2006-02-15,21:47:00,3740.00,3740.00,3738.00,3739.00,96,0\r\n2006-02-15,21:48:00,3739.00,3739.00,3739.00,3739.00,2,0\r\n2006-02-15,21:49:00,3739.00,3739.00,3737.00,3737.00,144,0\r\n2006-02-15,21:50:00,3737.00,3737.00,3737.00,3737.00,50,0\r\n2006-02-15,21:51:00,3738.00,3738.00,3736.00,3737.00,498,0\r\n2006-02-15,21:52:00,3737.00,3737.00,3736.00,3736.00,66,0\r\n2006-02-15,21:53:00,3737.00,3737.00,3736.00,3737.00,64,0\r\n2006-02-15,21:54:00,3736.00,3736.00,3736.00,3736.00,2,0\r\n2006-02-15,21:55:00,3737.00,3738.00,3737.00,3738.00,229,0\r\n2006-02-15,21:56:00,3737.00,3738.00,3737.00,3737.00,56,0\r\n2006-02-15,21:57:00,3737.00,3737.00,3737.00,3737.00,11,0\r\n2006-02-15,21:58:00,3737.00,3738.00,3737.00,3737.00,43,0\r\n2006-02-15,21:59:00,3738.00,3739.00,3738.00,3739.00,41,0\r\n2006-02-15,22:00:00,3739.00,3741.00,3738.00,3741.00,388,0\r\n2006-02-16,09:01:00,3755.00,3756.00,3754.00,3755.00,7508,0\r\n2006-02-16,09:02:00,3754.00,3755.00,3749.00,3750.00,2938,0\r\n2006-02-16,09:03:00,3751.00,3751.00,3747.00,3747.00,2176,0\r\n2006-02-16,09:04:00,3747.00,3751.00,3746.00,3751.00,1226,0\r\n2006-02-16,09:05:00,3751.00,3752.00,3749.00,3749.00,1575,0\r\n2006-02-16,09:06:00,3749.00,3751.00,3749.00,3751.00,543,0\r\n2006-02-16,09:07:00,3751.00,3755.00,3751.00,3755.00,1903,0\r\n2006-02-16,09:08:00,3755.00,3755.00,3753.00,3754.00,543,0\r\n2006-02-16,09:09:00,3753.00,3754.00,3752.00,3752.00,686,0\r\n2006-02-16,09:10:00,3752.00,3753.00,3748.00,3748.00,2640,0\r\n2006-02-16,09:11:00,3748.00,3748.00,3744.00,3744.00,4872,0\r\n2006-02-16,09:12:00,3744.00,3745.00,3743.00,3744.00,2482,0\r\n2006-02-16,09:13:00,3745.00,3747.00,3745.00,3746.00,1949,0\r\n2006-02-16,09:14:00,3746.00,3748.00,3745.00,3748.00,598,0\r\n2006-02-16,09:15:00,3747.00,3748.00,3746.00,3746.00,296,0\r\n2006-02-16,09:16:00,3747.00,3749.00,3747.00,3748.00,341,0\r\n2006-02-16,09:17:00,3749.00,3751.00,3747.00,3750.00,2241,0\r\n2006-02-16,09:18:00,3750.00,3751.00,3750.00,3750.00,250,0\r\n2006-02-16,09:19:00,3750.00,3750.00,3748.00,3748.00,792,0\r\n2006-02-16,09:20:00,3748.00,3749.00,3747.00,3748.00,479,0\r\n2006-02-16,09:21:00,3748.00,3751.00,3747.00,3751.00,990,0\r\n2006-02-16,09:22:00,3750.00,3751.00,3748.00,3748.00,1086,0\r\n2006-02-16,09:23:00,3749.00,3751.00,3749.00,3751.00,1052,0\r\n2006-02-16,09:24:00,3751.00,3752.00,3751.00,3751.00,804,0\r\n2006-02-16,09:25:00,3751.00,3752.00,3750.00,3750.00,325,0\r\n2006-02-16,09:26:00,3751.00,3751.00,3749.00,3750.00,1659,0\r\n2006-02-16,09:27:00,3750.00,3751.00,3750.00,3751.00,1262,0\r\n2006-02-16,09:28:00,3751.00,3752.00,3751.00,3751.00,1658,0\r\n2006-02-16,09:29:00,3750.00,3752.00,3749.00,3750.00,894,0\r\n2006-02-16,09:30:00,3751.00,3751.00,3748.00,3748.00,1138,0\r\n2006-02-16,09:31:00,3748.00,3750.00,3748.00,3749.00,1042,0\r\n2006-02-16,09:32:00,3749.00,3750.00,3748.00,3749.00,1837,0\r\n2006-02-16,09:33:00,3749.00,3750.00,3747.00,3747.00,790,0\r\n2006-02-16,09:34:00,3748.00,3750.00,3747.00,3749.00,907,0\r\n2006-02-16,09:35:00,3748.00,3750.00,3748.00,3750.00,558,0\r\n2006-02-16,09:36:00,3750.00,3750.00,3747.00,3748.00,413,0\r\n2006-02-16,09:37:00,3748.00,3749.00,3747.00,3749.00,446,0\r\n2006-02-16,09:38:00,3749.00,3749.00,3748.00,3748.00,872,0\r\n2006-02-16,09:39:00,3748.00,3748.00,3745.00,3746.00,1049,0\r\n2006-02-16,09:40:00,3746.00,3747.00,3744.00,3744.00,1703,0\r\n2006-02-16,09:41:00,3744.00,3746.00,3744.00,3745.00,1188,0\r\n2006-02-16,09:42:00,3745.00,3746.00,3745.00,3746.00,194,0\r\n2006-02-16,09:43:00,3746.00,3747.00,3745.00,3745.00,515,0\r\n2006-02-16,09:44:00,3745.00,3746.00,3745.00,3746.00,1144,0\r\n2006-02-16,09:45:00,3746.00,3747.00,3745.00,3745.00,211,0\r\n2006-02-16,09:46:00,3746.00,3747.00,3745.00,3747.00,385,0\r\n2006-02-16,09:47:00,3747.00,3748.00,3746.00,3747.00,1869,0\r\n2006-02-16,09:48:00,3747.00,3748.00,3747.00,3748.00,628,0\r\n2006-02-16,09:49:00,3747.00,3748.00,3746.00,3746.00,2610,0\r\n2006-02-16,09:50:00,3745.00,3745.00,3744.00,3744.00,298,0\r\n2006-02-16,09:51:00,3745.00,3746.00,3744.00,3745.00,782,0\r\n2006-02-16,09:52:00,3746.00,3747.00,3745.00,3745.00,895,0\r\n2006-02-16,09:53:00,3745.00,3746.00,3744.00,3745.00,1236,0\r\n2006-02-16,09:54:00,3744.00,3745.00,3744.00,3744.00,1400,0\r\n2006-02-16,09:55:00,3745.00,3745.00,3744.00,3745.00,334,0\r\n2006-02-16,09:56:00,3745.00,3745.00,3743.00,3743.00,849,0\r\n2006-02-16,09:57:00,3743.00,3743.00,3742.00,3742.00,800,0\r\n2006-02-16,09:58:00,3742.00,3742.00,3739.00,3740.00,4340,0\r\n2006-02-16,09:59:00,3740.00,3741.00,3739.00,3741.00,1674,0\r\n2006-02-16,10:00:00,3741.00,3742.00,3739.00,3740.00,1201,0\r\n2006-02-16,10:01:00,3740.00,3741.00,3739.00,3741.00,1936,0\r\n2006-02-16,10:02:00,3741.00,3741.00,3739.00,3741.00,1193,0\r\n2006-02-16,10:03:00,3741.00,3741.00,3739.00,3740.00,379,0\r\n2006-02-16,10:04:00,3740.00,3741.00,3740.00,3741.00,583,0\r\n2006-02-16,10:05:00,3740.00,3741.00,3739.00,3741.00,635,0\r\n2006-02-16,10:06:00,3740.00,3741.00,3739.00,3740.00,2203,0\r\n2006-02-16,10:07:00,3740.00,3742.00,3740.00,3740.00,475,0\r\n2006-02-16,10:08:00,3741.00,3742.00,3739.00,3739.00,497,0\r\n2006-02-16,10:09:00,3740.00,3740.00,3738.00,3739.00,1793,0\r\n2006-02-16,10:10:00,3739.00,3740.00,3738.00,3740.00,2142,0\r\n2006-02-16,10:11:00,3740.00,3741.00,3739.00,3740.00,1131,0\r\n2006-02-16,10:12:00,3740.00,3741.00,3739.00,3739.00,264,0\r\n2006-02-16,10:13:00,3740.00,3741.00,3740.00,3741.00,239,0\r\n2006-02-16,10:14:00,3741.00,3742.00,3741.00,3742.00,571,0\r\n2006-02-16,10:15:00,3741.00,3741.00,3740.00,3741.00,977,0\r\n2006-02-16,10:16:00,3740.00,3741.00,3739.00,3740.00,345,0\r\n2006-02-16,10:17:00,3740.00,3740.00,3738.00,3740.00,1897,0\r\n2006-02-16,10:18:00,3739.00,3741.00,3739.00,3740.00,855,0\r\n2006-02-16,10:19:00,3740.00,3742.00,3740.00,3742.00,198,0\r\n2006-02-16,10:20:00,3741.00,3742.00,3741.00,3742.00,45,0\r\n2006-02-16,10:21:00,3741.00,3742.00,3741.00,3741.00,210,0\r\n2006-02-16,10:22:00,3741.00,3742.00,3741.00,3742.00,390,0\r\n2006-02-16,10:23:00,3743.00,3744.00,3742.00,3743.00,854,0\r\n2006-02-16,10:24:00,3743.00,3745.00,3743.00,3744.00,1296,0\r\n2006-02-16,10:25:00,3744.00,3745.00,3744.00,3744.00,268,0\r\n2006-02-16,10:26:00,3745.00,3746.00,3745.00,3746.00,1535,0\r\n2006-02-16,10:27:00,3745.00,3746.00,3744.00,3744.00,625,0\r\n2006-02-16,10:28:00,3745.00,3745.00,3743.00,3744.00,1772,0\r\n2006-02-16,10:29:00,3743.00,3743.00,3743.00,3743.00,720,0\r\n2006-02-16,10:30:00,3743.00,3743.00,3741.00,3741.00,281,0\r\n2006-02-16,10:31:00,3741.00,3742.00,3740.00,3742.00,571,0\r\n2006-02-16,10:32:00,3742.00,3742.00,3741.00,3742.00,1372,0\r\n2006-02-16,10:33:00,3742.00,3742.00,3741.00,3742.00,352,0\r\n2006-02-16,10:34:00,3742.00,3742.00,3741.00,3741.00,199,0\r\n2006-02-16,10:35:00,3741.00,3741.00,3741.00,3741.00,1749,0\r\n2006-02-16,10:36:00,3742.00,3742.00,3742.00,3742.00,5065,0\r\n2006-02-16,10:37:00,3742.00,3743.00,3742.00,3742.00,253,0\r\n2006-02-16,10:38:00,3742.00,3742.00,3741.00,3741.00,111,0\r\n2006-02-16,10:39:00,3742.00,3743.00,3742.00,3743.00,188,0\r\n2006-02-16,10:40:00,3742.00,3742.00,3741.00,3742.00,598,0\r\n2006-02-16,10:41:00,3741.00,3742.00,3741.00,3741.00,466,0\r\n2006-02-16,10:42:00,3741.00,3742.00,3741.00,3742.00,402,0\r\n2006-02-16,10:43:00,3742.00,3742.00,3741.00,3741.00,289,0\r\n2006-02-16,10:44:00,3741.00,3741.00,3740.00,3741.00,422,0\r\n2006-02-16,10:45:00,3741.00,3741.00,3741.00,3741.00,181,0\r\n2006-02-16,10:46:00,3741.00,3742.00,3741.00,3741.00,20,0\r\n2006-02-16,10:47:00,3742.00,3743.00,3741.00,3743.00,539,0\r\n2006-02-16,10:48:00,3743.00,3744.00,3742.00,3743.00,677,0\r\n2006-02-16,10:49:00,3743.00,3744.00,3743.00,3744.00,666,0\r\n2006-02-16,10:50:00,3744.00,3745.00,3744.00,3745.00,130,0\r\n2006-02-16,10:51:00,3744.00,3745.00,3743.00,3745.00,615,0\r\n2006-02-16,10:52:00,3744.00,3745.00,3744.00,3745.00,76,0\r\n2006-02-16,10:53:00,3744.00,3745.00,3744.00,3744.00,135,0\r\n2006-02-16,10:54:00,3744.00,3744.00,3743.00,3743.00,467,0\r\n2006-02-16,10:55:00,3743.00,3743.00,3743.00,3743.00,55,0\r\n2006-02-16,10:56:00,3743.00,3743.00,3743.00,3743.00,37,0\r\n2006-02-16,10:57:00,3743.00,3744.00,3743.00,3744.00,366,0\r\n2006-02-16,10:58:00,3743.00,3745.00,3743.00,3744.00,386,0\r\n2006-02-16,10:59:00,3743.00,3744.00,3743.00,3744.00,117,0\r\n2006-02-16,11:00:00,3744.00,3744.00,3743.00,3744.00,171,0\r\n2006-02-16,11:01:00,3744.00,3745.00,3744.00,3744.00,123,0\r\n2006-02-16,11:02:00,3744.00,3744.00,3743.00,3743.00,319,0\r\n2006-02-16,11:03:00,3744.00,3745.00,3744.00,3745.00,258,0\r\n2006-02-16,11:04:00,3744.00,3745.00,3744.00,3745.00,34,0\r\n2006-02-16,11:05:00,3744.00,3747.00,3744.00,3746.00,567,0\r\n2006-02-16,11:06:00,3746.00,3746.00,3744.00,3746.00,584,0\r\n2006-02-16,11:07:00,3745.00,3746.00,3745.00,3746.00,189,0\r\n2006-02-16,11:08:00,3745.00,3746.00,3745.00,3746.00,49,0\r\n2006-02-16,11:09:00,3746.00,3746.00,3745.00,3745.00,167,0\r\n2006-02-16,11:10:00,3745.00,3746.00,3744.00,3745.00,161,0\r\n2006-02-16,11:11:00,3745.00,3746.00,3745.00,3746.00,7,0\r\n2006-02-16,11:12:00,3745.00,3746.00,3745.00,3746.00,315,0\r\n2006-02-16,11:13:00,3746.00,3747.00,3745.00,3746.00,214,0\r\n2006-02-16,11:14:00,3746.00,3746.00,3746.00,3746.00,61,0\r\n2006-02-16,11:16:00,3747.00,3748.00,3746.00,3747.00,1302,0\r\n2006-02-16,11:17:00,3748.00,3748.00,3746.00,3747.00,546,0\r\n2006-02-16,11:18:00,3748.00,3749.00,3748.00,3748.00,211,0\r\n2006-02-16,11:19:00,3748.00,3749.00,3748.00,3749.00,848,0\r\n2006-02-16,11:20:00,3748.00,3749.00,3748.00,3748.00,254,0\r\n2006-02-16,11:21:00,3749.00,3749.00,3748.00,3749.00,1152,0\r\n2006-02-16,11:22:00,3748.00,3748.00,3748.00,3748.00,55,0\r\n2006-02-16,11:23:00,3748.00,3748.00,3746.00,3746.00,1065,0\r\n2006-02-16,11:24:00,3747.00,3747.00,3746.00,3747.00,1575,0\r\n2006-02-16,11:25:00,3747.00,3747.00,3746.00,3747.00,175,0\r\n2006-02-16,11:26:00,3747.00,3747.00,3747.00,3747.00,206,0\r\n2006-02-16,11:27:00,3747.00,3747.00,3745.00,3745.00,1867,0\r\n2006-02-16,11:28:00,3745.00,3746.00,3745.00,3745.00,464,0\r\n2006-02-16,11:29:00,3744.00,3746.00,3744.00,3745.00,105,0\r\n2006-02-16,11:30:00,3745.00,3745.00,3745.00,3745.00,12,0\r\n2006-02-16,11:31:00,3745.00,3746.00,3744.00,3745.00,1105,0\r\n2006-02-16,11:32:00,3745.00,3745.00,3745.00,3745.00,70,0\r\n2006-02-16,11:33:00,3745.00,3745.00,3745.00,3745.00,146,0\r\n2006-02-16,11:34:00,3746.00,3746.00,3745.00,3745.00,456,0\r\n2006-02-16,11:35:00,3745.00,3746.00,3745.00,3745.00,427,0\r\n2006-02-16,11:36:00,3745.00,3746.00,3745.00,3746.00,41,0\r\n2006-02-16,11:37:00,3746.00,3746.00,3746.00,3746.00,160,0\r\n2006-02-16,11:38:00,3746.00,3747.00,3746.00,3746.00,243,0\r\n2006-02-16,11:39:00,3747.00,3747.00,3746.00,3746.00,509,0\r\n2006-02-16,11:40:00,3746.00,3746.00,3746.00,3746.00,25,0\r\n2006-02-16,11:41:00,3746.00,3747.00,3746.00,3747.00,15,0\r\n2006-02-16,11:42:00,3746.00,3747.00,3746.00,3747.00,144,0\r\n2006-02-16,11:43:00,3747.00,3747.00,3747.00,3747.00,668,0\r\n2006-02-16,11:44:00,3746.00,3746.00,3746.00,3746.00,35,0\r\n2006-02-16,11:45:00,3746.00,3747.00,3746.00,3747.00,60,0\r\n2006-02-16,11:46:00,3747.00,3747.00,3745.00,3746.00,594,0\r\n2006-02-16,11:47:00,3746.00,3746.00,3746.00,3746.00,324,0\r\n2006-02-16,11:48:00,3746.00,3746.00,3745.00,3746.00,320,0\r\n2006-02-16,11:49:00,3746.00,3746.00,3745.00,3745.00,491,0\r\n2006-02-16,11:50:00,3745.00,3746.00,3745.00,3746.00,1134,0\r\n2006-02-16,11:51:00,3747.00,3747.00,3747.00,3747.00,206,0\r\n2006-02-16,11:52:00,3746.00,3747.00,3746.00,3747.00,189,0\r\n2006-02-16,11:53:00,3747.00,3748.00,3745.00,3746.00,1811,0\r\n2006-02-16,11:54:00,3747.00,3747.00,3746.00,3746.00,473,0\r\n2006-02-16,11:55:00,3747.00,3747.00,3746.00,3747.00,144,0\r\n2006-02-16,11:56:00,3746.00,3747.00,3746.00,3746.00,653,0\r\n2006-02-16,11:57:00,3746.00,3746.00,3746.00,3746.00,459,0\r\n2006-02-16,11:58:00,3746.00,3746.00,3746.00,3746.00,208,0\r\n2006-02-16,11:59:00,3746.00,3746.00,3746.00,3746.00,11,0\r\n2006-02-16,12:00:00,3747.00,3747.00,3746.00,3746.00,109,0\r\n2006-02-16,12:01:00,3746.00,3746.00,3746.00,3746.00,1,0\r\n2006-02-16,12:02:00,3747.00,3747.00,3747.00,3747.00,653,0\r\n2006-02-16,12:03:00,3747.00,3748.00,3747.00,3747.00,280,0\r\n2006-02-16,12:04:00,3747.00,3747.00,3747.00,3747.00,43,0\r\n2006-02-16,12:05:00,3747.00,3748.00,3747.00,3748.00,1228,0\r\n2006-02-16,12:06:00,3747.00,3747.00,3747.00,3747.00,488,0\r\n2006-02-16,12:07:00,3747.00,3747.00,3746.00,3747.00,162,0\r\n2006-02-16,12:08:00,3747.00,3747.00,3746.00,3746.00,399,0\r\n2006-02-16,12:09:00,3747.00,3747.00,3747.00,3747.00,4,0\r\n2006-02-16,12:10:00,3747.00,3747.00,3747.00,3747.00,1307,0\r\n2006-02-16,12:11:00,3746.00,3747.00,3746.00,3747.00,288,0\r\n2006-02-16,12:12:00,3747.00,3747.00,3746.00,3746.00,591,0\r\n2006-02-16,12:13:00,3747.00,3748.00,3747.00,3747.00,756,0\r\n2006-02-16,12:14:00,3747.00,3747.00,3746.00,3747.00,883,0\r\n2006-02-16,12:15:00,3747.00,3747.00,3747.00,3747.00,9,0\r\n2006-02-16,12:16:00,3747.00,3748.00,3747.00,3747.00,301,0\r\n2006-02-16,12:17:00,3748.00,3748.00,3747.00,3747.00,752,0\r\n2006-02-16,12:18:00,3747.00,3747.00,3746.00,3746.00,335,0\r\n2006-02-16,12:19:00,3746.00,3746.00,3746.00,3746.00,275,0\r\n2006-02-16,12:20:00,3746.00,3746.00,3746.00,3746.00,252,0\r\n2006-02-16,12:21:00,3746.00,3746.00,3745.00,3745.00,764,0\r\n2006-02-16,12:22:00,3745.00,3745.00,3745.00,3745.00,6,0\r\n2006-02-16,12:23:00,3745.00,3745.00,3745.00,3745.00,13,0\r\n2006-02-16,12:24:00,3746.00,3746.00,3745.00,3745.00,15,0\r\n2006-02-16,12:25:00,3746.00,3746.00,3745.00,3746.00,62,0\r\n2006-02-16,12:27:00,3746.00,3746.00,3746.00,3746.00,388,0\r\n2006-02-16,12:28:00,3745.00,3746.00,3745.00,3746.00,30,0\r\n2006-02-16,12:29:00,3745.00,3747.00,3745.00,3747.00,480,0\r\n2006-02-16,12:30:00,3746.00,3747.00,3746.00,3747.00,100,0\r\n2006-02-16,12:31:00,3746.00,3746.00,3746.00,3746.00,242,0\r\n2006-02-16,12:32:00,3746.00,3746.00,3745.00,3745.00,167,0\r\n2006-02-16,12:33:00,3746.00,3746.00,3745.00,3745.00,7,0\r\n2006-02-16,12:34:00,3746.00,3746.00,3745.00,3745.00,26,0\r\n2006-02-16,12:35:00,3745.00,3745.00,3745.00,3745.00,257,0\r\n2006-02-16,12:36:00,3745.00,3745.00,3745.00,3745.00,20,0\r\n2006-02-16,12:37:00,3746.00,3746.00,3745.00,3745.00,86,0\r\n2006-02-16,12:38:00,3746.00,3746.00,3745.00,3746.00,131,0\r\n2006-02-16,12:39:00,3745.00,3745.00,3745.00,3745.00,23,0\r\n2006-02-16,12:40:00,3745.00,3746.00,3745.00,3745.00,237,0\r\n2006-02-16,12:41:00,3745.00,3745.00,3744.00,3745.00,1501,0\r\n2006-02-16,12:42:00,3744.00,3745.00,3744.00,3744.00,333,0\r\n2006-02-16,12:43:00,3744.00,3745.00,3744.00,3745.00,120,0\r\n2006-02-16,12:44:00,3745.00,3745.00,3744.00,3745.00,760,0\r\n2006-02-16,12:45:00,3744.00,3745.00,3744.00,3744.00,48,0\r\n2006-02-16,12:46:00,3745.00,3745.00,3745.00,3745.00,205,0\r\n2006-02-16,12:47:00,3745.00,3745.00,3744.00,3744.00,672,0\r\n2006-02-16,12:48:00,3744.00,3745.00,3744.00,3745.00,501,0\r\n2006-02-16,12:49:00,3744.00,3744.00,3744.00,3744.00,23,0\r\n2006-02-16,12:50:00,3744.00,3745.00,3744.00,3745.00,1080,0\r\n2006-02-16,12:51:00,3745.00,3746.00,3745.00,3746.00,687,0\r\n2006-02-16,12:52:00,3747.00,3748.00,3747.00,3747.00,1948,0\r\n2006-02-16,12:53:00,3746.00,3747.00,3746.00,3747.00,1079,0\r\n2006-02-16,12:54:00,3747.00,3747.00,3746.00,3746.00,178,0\r\n2006-02-16,12:55:00,3746.00,3746.00,3745.00,3746.00,449,0\r\n2006-02-16,12:56:00,3746.00,3746.00,3745.00,3745.00,655,0\r\n2006-02-16,12:57:00,3746.00,3747.00,3746.00,3746.00,426,0\r\n2006-02-16,12:58:00,3745.00,3746.00,3745.00,3746.00,82,0\r\n2006-02-16,12:59:00,3745.00,3746.00,3745.00,3746.00,8,0\r\n2006-02-16,13:00:00,3745.00,3746.00,3744.00,3745.00,441,0\r\n2006-02-16,13:01:00,3745.00,3746.00,3745.00,3746.00,158,0\r\n2006-02-16,13:02:00,3745.00,3746.00,3745.00,3746.00,319,0\r\n2006-02-16,13:03:00,3746.00,3746.00,3746.00,3746.00,4,0\r\n2006-02-16,13:04:00,3745.00,3746.00,3745.00,3746.00,30,0\r\n2006-02-16,13:06:00,3745.00,3745.00,3745.00,3745.00,23,0\r\n2006-02-16,13:07:00,3745.00,3746.00,3745.00,3746.00,76,0\r\n2006-02-16,13:08:00,3746.00,3747.00,3746.00,3746.00,397,0\r\n2006-02-16,13:09:00,3746.00,3746.00,3745.00,3745.00,880,0\r\n2006-02-16,13:10:00,3746.00,3746.00,3745.00,3745.00,263,0\r\n2006-02-16,13:12:00,3745.00,3746.00,3745.00,3745.00,162,0\r\n2006-02-16,13:13:00,3746.00,3746.00,3746.00,3746.00,1129,0\r\n2006-02-16,13:14:00,3746.00,3746.00,3746.00,3746.00,3,0\r\n2006-02-16,13:15:00,3746.00,3746.00,3746.00,3746.00,48,0\r\n2006-02-16,13:16:00,3746.00,3746.00,3745.00,3745.00,40,0\r\n2006-02-16,13:17:00,3746.00,3746.00,3745.00,3745.00,75,0\r\n2006-02-16,13:19:00,3746.00,3746.00,3746.00,3746.00,10,0\r\n2006-02-16,13:20:00,3745.00,3745.00,3745.00,3745.00,100,0\r\n2006-02-16,13:21:00,3745.00,3745.00,3745.00,3745.00,50,0\r\n2006-02-16,13:23:00,3745.00,3745.00,3745.00,3745.00,10,0\r\n2006-02-16,13:25:00,3745.00,3745.00,3745.00,3745.00,10,0\r\n2006-02-16,13:26:00,3746.00,3746.00,3745.00,3745.00,10,0\r\n2006-02-16,13:27:00,3745.00,3745.00,3745.00,3745.00,408,0\r\n2006-02-16,13:28:00,3745.00,3745.00,3745.00,3745.00,1709,0\r\n2006-02-16,13:29:00,3745.00,3745.00,3745.00,3745.00,10,0\r\n2006-02-16,13:30:00,3745.00,3745.00,3745.00,3745.00,190,0\r\n2006-02-16,13:31:00,3745.00,3745.00,3745.00,3745.00,316,0\r\n2006-02-16,13:32:00,3745.00,3745.00,3745.00,3745.00,43,0\r\n2006-02-16,13:33:00,3745.00,3745.00,3745.00,3745.00,237,0\r\n2006-02-16,13:34:00,3745.00,3746.00,3745.00,3746.00,598,0\r\n2006-02-16,13:35:00,3745.00,3746.00,3745.00,3745.00,62,0\r\n2006-02-16,13:36:00,3746.00,3746.00,3746.00,3746.00,80,0\r\n2006-02-16,13:37:00,3746.00,3746.00,3745.00,3745.00,3,0\r\n2006-02-16,13:38:00,3746.00,3746.00,3746.00,3746.00,26,0\r\n2006-02-16,13:39:00,3746.00,3747.00,3746.00,3746.00,311,0\r\n2006-02-16,13:40:00,3746.00,3746.00,3746.00,3746.00,143,0\r\n2006-02-16,13:41:00,3746.00,3747.00,3746.00,3747.00,453,0\r\n2006-02-16,13:42:00,3746.00,3746.00,3746.00,3746.00,112,0\r\n2006-02-16,13:44:00,3746.00,3746.00,3746.00,3746.00,19,0\r\n2006-02-16,13:45:00,3746.00,3746.00,3745.00,3746.00,841,0\r\n2006-02-16,13:46:00,3746.00,3746.00,3746.00,3746.00,20,0\r\n2006-02-16,13:47:00,3747.00,3747.00,3747.00,3747.00,95,0\r\n2006-02-16,13:48:00,3747.00,3747.00,3747.00,3747.00,317,0\r\n2006-02-16,13:49:00,3746.00,3746.00,3746.00,3746.00,42,0\r\n2006-02-16,13:50:00,3747.00,3747.00,3746.00,3746.00,23,0\r\n2006-02-16,13:52:00,3747.00,3747.00,3747.00,3747.00,151,0\r\n2006-02-16,13:53:00,3747.00,3747.00,3746.00,3747.00,204,0\r\n2006-02-16,13:54:00,3746.00,3746.00,3746.00,3746.00,2,0\r\n2006-02-16,13:55:00,3747.00,3748.00,3747.00,3748.00,158,0\r\n2006-02-16,13:56:00,3748.00,3749.00,3748.00,3748.00,743,0\r\n2006-02-16,13:57:00,3749.00,3749.00,3748.00,3748.00,65,0\r\n2006-02-16,13:58:00,3748.00,3748.00,3748.00,3748.00,473,0\r\n2006-02-16,13:59:00,3747.00,3747.00,3747.00,3747.00,11,0\r\n2006-02-16,14:00:00,3747.00,3749.00,3747.00,3748.00,711,0\r\n2006-02-16,14:01:00,3747.00,3748.00,3747.00,3748.00,311,0\r\n2006-02-16,14:02:00,3748.00,3748.00,3748.00,3748.00,566,0\r\n2006-02-16,14:03:00,3748.00,3748.00,3748.00,3748.00,575,0\r\n2006-02-16,14:04:00,3748.00,3748.00,3748.00,3748.00,636,0\r\n2006-02-16,14:05:00,3748.00,3748.00,3747.00,3747.00,9,0\r\n2006-02-16,14:06:00,3748.00,3748.00,3748.00,3748.00,53,0\r\n2006-02-16,14:07:00,3748.00,3748.00,3748.00,3748.00,60,0\r\n2006-02-16,14:08:00,3748.00,3749.00,3748.00,3749.00,610,0\r\n2006-02-16,14:09:00,3749.00,3749.00,3749.00,3749.00,81,0\r\n2006-02-16,14:10:00,3748.00,3748.00,3747.00,3747.00,221,0\r\n2006-02-16,14:11:00,3748.00,3748.00,3748.00,3748.00,16,0\r\n2006-02-16,14:12:00,3748.00,3748.00,3748.00,3748.00,26,0\r\n2006-02-16,14:13:00,3747.00,3748.00,3747.00,3748.00,210,0\r\n2006-02-16,14:14:00,3747.00,3748.00,3747.00,3748.00,178,0\r\n2006-02-16,14:15:00,3748.00,3749.00,3748.00,3749.00,504,0\r\n2006-02-16,14:16:00,3748.00,3748.00,3748.00,3748.00,2,0\r\n2006-02-16,14:17:00,3748.00,3748.00,3748.00,3748.00,501,0\r\n2006-02-16,14:18:00,3749.00,3749.00,3749.00,3749.00,572,0\r\n2006-02-16,14:19:00,3749.00,3750.00,3749.00,3750.00,281,0\r\n2006-02-16,14:20:00,3749.00,3751.00,3749.00,3749.00,1542,0\r\n2006-02-16,14:21:00,3749.00,3750.00,3749.00,3750.00,111,0\r\n2006-02-16,14:22:00,3750.00,3750.00,3749.00,3749.00,166,0\r\n2006-02-16,14:23:00,3749.00,3750.00,3748.00,3748.00,203,0\r\n2006-02-16,14:24:00,3749.00,3749.00,3748.00,3748.00,11,0\r\n2006-02-16,14:25:00,3749.00,3749.00,3748.00,3748.00,15,0\r\n2006-02-16,14:26:00,3748.00,3748.00,3747.00,3747.00,354,0\r\n2006-02-16,14:27:00,3748.00,3748.00,3747.00,3747.00,154,0\r\n2006-02-16,14:28:00,3747.00,3748.00,3747.00,3748.00,150,0\r\n2006-02-16,14:29:00,3747.00,3748.00,3747.00,3748.00,660,0\r\n2006-02-16,14:30:00,3748.00,3749.00,3748.00,3748.00,238,0\r\n2006-02-16,14:31:00,3749.00,3749.00,3747.00,3747.00,1385,0\r\n2006-02-16,14:32:00,3746.00,3747.00,3746.00,3747.00,1300,0\r\n2006-02-16,14:33:00,3747.00,3749.00,3747.00,3749.00,721,0\r\n2006-02-16,14:34:00,3748.00,3748.00,3747.00,3747.00,210,0\r\n2006-02-16,14:35:00,3748.00,3748.00,3747.00,3747.00,90,0\r\n2006-02-16,14:36:00,3747.00,3747.00,3746.00,3746.00,342,0\r\n2006-02-16,14:37:00,3747.00,3747.00,3746.00,3747.00,59,0\r\n2006-02-16,14:38:00,3747.00,3747.00,3746.00,3747.00,893,0\r\n2006-02-16,14:39:00,3746.00,3746.00,3745.00,3745.00,841,0\r\n2006-02-16,14:40:00,3745.00,3747.00,3745.00,3746.00,855,0\r\n2006-02-16,14:41:00,3746.00,3746.00,3745.00,3746.00,306,0\r\n2006-02-16,14:42:00,3745.00,3747.00,3745.00,3747.00,267,0\r\n2006-02-16,14:43:00,3747.00,3747.00,3747.00,3747.00,217,0\r\n2006-02-16,14:44:00,3747.00,3748.00,3747.00,3747.00,78,0\r\n2006-02-16,14:45:00,3748.00,3748.00,3747.00,3747.00,266,0\r\n2006-02-16,14:46:00,3747.00,3748.00,3747.00,3748.00,15,0\r\n2006-02-16,14:47:00,3747.00,3747.00,3747.00,3747.00,237,0\r\n2006-02-16,14:48:00,3747.00,3747.00,3746.00,3747.00,119,0\r\n2006-02-16,14:49:00,3747.00,3747.00,3746.00,3746.00,20,0\r\n2006-02-16,14:50:00,3746.00,3747.00,3746.00,3747.00,127,0\r\n2006-02-16,14:51:00,3747.00,3747.00,3747.00,3747.00,143,0\r\n2006-02-16,14:52:00,3747.00,3747.00,3747.00,3747.00,262,0\r\n2006-02-16,14:53:00,3748.00,3748.00,3748.00,3748.00,52,0\r\n2006-02-16,14:54:00,3748.00,3748.00,3748.00,3748.00,2,0\r\n2006-02-16,14:55:00,3748.00,3748.00,3747.00,3747.00,50,0\r\n2006-02-16,14:56:00,3748.00,3749.00,3747.00,3747.00,416,0\r\n2006-02-16,14:57:00,3748.00,3748.00,3748.00,3748.00,74,0\r\n2006-02-16,14:58:00,3748.00,3748.00,3748.00,3748.00,115,0\r\n2006-02-16,14:59:00,3748.00,3749.00,3748.00,3749.00,598,0\r\n2006-02-16,15:00:00,3749.00,3749.00,3749.00,3749.00,32,0\r\n2006-02-16,15:01:00,3749.00,3751.00,3749.00,3750.00,706,0\r\n2006-02-16,15:02:00,3751.00,3751.00,3750.00,3750.00,604,0\r\n2006-02-16,15:03:00,3750.00,3751.00,3750.00,3751.00,825,0\r\n2006-02-16,15:04:00,3751.00,3751.00,3751.00,3751.00,183,0\r\n2006-02-16,15:05:00,3750.00,3750.00,3750.00,3750.00,72,0\r\n2006-02-16,15:06:00,3750.00,3750.00,3749.00,3749.00,67,0\r\n2006-02-16,15:07:00,3749.00,3750.00,3749.00,3749.00,33,0\r\n2006-02-16,15:08:00,3750.00,3750.00,3749.00,3749.00,33,0\r\n2006-02-16,15:10:00,3749.00,3750.00,3749.00,3749.00,831,0\r\n2006-02-16,15:11:00,3749.00,3750.00,3749.00,3750.00,323,0\r\n2006-02-16,15:12:00,3750.00,3750.00,3749.00,3749.00,104,0\r\n2006-02-16,15:15:00,3749.00,3750.00,3748.00,3748.00,498,0\r\n2006-02-16,15:16:00,3749.00,3749.00,3749.00,3749.00,53,0\r\n2006-02-16,15:17:00,3749.00,3749.00,3749.00,3749.00,5,0\r\n2006-02-16,15:18:00,3749.00,3750.00,3749.00,3749.00,37,0\r\n2006-02-16,15:19:00,3749.00,3749.00,3749.00,3749.00,79,0\r\n2006-02-16,15:20:00,3750.00,3750.00,3749.00,3750.00,2667,0\r\n2006-02-16,15:21:00,3750.00,3750.00,3750.00,3750.00,22,0\r\n2006-02-16,15:22:00,3749.00,3750.00,3749.00,3749.00,133,0\r\n2006-02-16,15:23:00,3750.00,3750.00,3749.00,3749.00,50,0\r\n2006-02-16,15:24:00,3750.00,3750.00,3749.00,3749.00,428,0\r\n2006-02-16,15:25:00,3750.00,3750.00,3750.00,3750.00,126,0\r\n2006-02-16,15:26:00,3750.00,3751.00,3750.00,3750.00,110,0\r\n2006-02-16,15:27:00,3750.00,3751.00,3750.00,3750.00,132,0\r\n2006-02-16,15:28:00,3750.00,3751.00,3750.00,3751.00,53,0\r\n2006-02-16,15:29:00,3750.00,3751.00,3750.00,3751.00,132,0\r\n2006-02-16,15:30:00,3750.00,3750.00,3749.00,3749.00,945,0\r\n2006-02-16,15:31:00,3749.00,3750.00,3749.00,3750.00,576,0\r\n2006-02-16,15:32:00,3750.00,3750.00,3749.00,3750.00,334,0\r\n2006-02-16,15:33:00,3750.00,3750.00,3749.00,3749.00,57,0\r\n2006-02-16,15:34:00,3750.00,3751.00,3749.00,3751.00,854,0\r\n2006-02-16,15:35:00,3750.00,3750.00,3750.00,3750.00,1558,0\r\n2006-02-16,15:36:00,3749.00,3750.00,3749.00,3750.00,617,0\r\n2006-02-16,15:37:00,3750.00,3751.00,3749.00,3751.00,1209,0\r\n2006-02-16,15:38:00,3750.00,3751.00,3750.00,3750.00,401,0\r\n2006-02-16,15:39:00,3750.00,3751.00,3750.00,3751.00,773,0\r\n2006-02-16,15:40:00,3751.00,3753.00,3750.00,3751.00,3694,0\r\n2006-02-16,15:41:00,3752.00,3752.00,3750.00,3751.00,1130,0\r\n2006-02-16,15:42:00,3751.00,3752.00,3750.00,3751.00,3201,0\r\n2006-02-16,15:43:00,3751.00,3752.00,3751.00,3752.00,1087,0\r\n2006-02-16,15:44:00,3752.00,3752.00,3750.00,3750.00,1324,0\r\n2006-02-16,15:45:00,3750.00,3752.00,3749.00,3751.00,1041,0\r\n2006-02-16,15:46:00,3751.00,3751.00,3750.00,3751.00,885,0\r\n2006-02-16,15:47:00,3751.00,3752.00,3750.00,3752.00,754,0\r\n2006-02-16,15:48:00,3752.00,3752.00,3749.00,3750.00,993,0\r\n2006-02-16,15:49:00,3750.00,3750.00,3747.00,3747.00,845,0\r\n2006-02-16,15:50:00,3747.00,3748.00,3745.00,3745.00,4896,0\r\n2006-02-16,15:51:00,3746.00,3747.00,3745.00,3745.00,2494,0\r\n2006-02-16,15:52:00,3745.00,3747.00,3745.00,3747.00,1671,0\r\n2006-02-16,15:53:00,3747.00,3747.00,3745.00,3747.00,2001,0\r\n2006-02-16,15:54:00,3747.00,3747.00,3745.00,3747.00,1226,0\r\n2006-02-16,15:55:00,3747.00,3750.00,3747.00,3750.00,1389,0\r\n2006-02-16,15:56:00,3749.00,3749.00,3747.00,3747.00,1518,0\r\n2006-02-16,15:57:00,3747.00,3748.00,3746.00,3748.00,945,0\r\n2006-02-16,15:58:00,3748.00,3750.00,3748.00,3748.00,1055,0\r\n2006-02-16,15:59:00,3747.00,3749.00,3747.00,3748.00,660,0\r\n2006-02-16,16:00:00,3748.00,3748.00,3746.00,3748.00,722,0\r\n2006-02-16,16:01:00,3747.00,3749.00,3745.00,3747.00,1545,0\r\n2006-02-16,16:02:00,3746.00,3747.00,3745.00,3747.00,918,0\r\n2006-02-16,16:03:00,3747.00,3748.00,3746.00,3748.00,1474,0\r\n2006-02-16,16:04:00,3748.00,3749.00,3746.00,3747.00,824,0\r\n2006-02-16,16:05:00,3746.00,3747.00,3746.00,3746.00,555,0\r\n2006-02-16,16:06:00,3747.00,3747.00,3745.00,3746.00,1402,0\r\n2006-02-16,16:07:00,3747.00,3749.00,3747.00,3748.00,2743,0\r\n2006-02-16,16:08:00,3748.00,3750.00,3748.00,3749.00,1529,0\r\n2006-02-16,16:09:00,3748.00,3749.00,3747.00,3749.00,1488,0\r\n2006-02-16,16:10:00,3748.00,3751.00,3748.00,3750.00,1093,0\r\n2006-02-16,16:11:00,3750.00,3752.00,3750.00,3752.00,1475,0\r\n2006-02-16,16:12:00,3751.00,3752.00,3750.00,3751.00,1242,0\r\n2006-02-16,16:13:00,3752.00,3755.00,3751.00,3755.00,4181,0\r\n2006-02-16,16:14:00,3755.00,3757.00,3754.00,3757.00,2629,0\r\n2006-02-16,16:15:00,3757.00,3758.00,3754.00,3756.00,6108,0\r\n2006-02-16,16:16:00,3756.00,3756.00,3754.00,3754.00,1921,0\r\n2006-02-16,16:17:00,3754.00,3755.00,3753.00,3755.00,4137,0\r\n2006-02-16,16:18:00,3755.00,3755.00,3752.00,3753.00,2067,0\r\n2006-02-16,16:19:00,3753.00,3754.00,3752.00,3753.00,1277,0\r\n2006-02-16,16:20:00,3753.00,3753.00,3752.00,3753.00,323,0\r\n2006-02-16,16:21:00,3753.00,3754.00,3752.00,3752.00,1874,0\r\n2006-02-16,16:22:00,3752.00,3753.00,3749.00,3749.00,3525,0\r\n2006-02-16,16:23:00,3749.00,3749.00,3745.00,3745.00,5339,0\r\n2006-02-16,16:24:00,3745.00,3748.00,3745.00,3748.00,1929,0\r\n2006-02-16,16:25:00,3748.00,3748.00,3745.00,3745.00,3678,0\r\n2006-02-16,16:26:00,3745.00,3745.00,3743.00,3745.00,3998,0\r\n2006-02-16,16:27:00,3745.00,3746.00,3744.00,3745.00,1235,0\r\n2006-02-16,16:28:00,3745.00,3748.00,3745.00,3747.00,3153,0\r\n2006-02-16,16:29:00,3748.00,3748.00,3745.00,3746.00,2168,0\r\n2006-02-16,16:30:00,3746.00,3748.00,3745.00,3748.00,1784,0\r\n2006-02-16,16:31:00,3747.00,3750.00,3747.00,3749.00,2721,0\r\n2006-02-16,16:32:00,3749.00,3751.00,3748.00,3750.00,2365,0\r\n2006-02-16,16:33:00,3750.00,3751.00,3749.00,3749.00,1491,0\r\n2006-02-16,16:34:00,3749.00,3750.00,3747.00,3748.00,1732,0\r\n2006-02-16,16:35:00,3748.00,3748.00,3746.00,3748.00,1356,0\r\n2006-02-16,16:36:00,3748.00,3749.00,3746.00,3747.00,1492,0\r\n2006-02-16,16:37:00,3747.00,3747.00,3744.00,3746.00,2741,0\r\n2006-02-16,16:38:00,3746.00,3747.00,3745.00,3746.00,415,0\r\n2006-02-16,16:39:00,3747.00,3747.00,3745.00,3746.00,1568,0\r\n2006-02-16,16:40:00,3746.00,3747.00,3746.00,3746.00,1458,0\r\n2006-02-16,16:41:00,3746.00,3747.00,3745.00,3746.00,592,0\r\n2006-02-16,16:42:00,3746.00,3748.00,3746.00,3747.00,1695,0\r\n2006-02-16,16:43:00,3747.00,3748.00,3747.00,3747.00,1822,0\r\n2006-02-16,16:44:00,3748.00,3748.00,3747.00,3748.00,941,0\r\n2006-02-16,16:45:00,3748.00,3749.00,3747.00,3747.00,951,0\r\n2006-02-16,16:46:00,3748.00,3751.00,3748.00,3749.00,2085,0\r\n2006-02-16,16:47:00,3749.00,3750.00,3749.00,3749.00,42,0\r\n2006-02-16,16:48:00,3749.00,3750.00,3748.00,3749.00,561,0\r\n2006-02-16,16:49:00,3748.00,3750.00,3748.00,3750.00,1305,0\r\n2006-02-16,16:50:00,3750.00,3751.00,3750.00,3751.00,513,0\r\n2006-02-16,16:51:00,3751.00,3754.00,3751.00,3754.00,1831,0\r\n2006-02-16,16:52:00,3754.00,3754.00,3752.00,3752.00,1038,0\r\n2006-02-16,16:53:00,3752.00,3753.00,3751.00,3751.00,301,0\r\n2006-02-16,16:54:00,3752.00,3753.00,3751.00,3752.00,1317,0\r\n2006-02-16,16:55:00,3752.00,3752.00,3750.00,3751.00,460,0\r\n2006-02-16,16:56:00,3752.00,3752.00,3751.00,3751.00,268,0\r\n2006-02-16,16:57:00,3751.00,3753.00,3751.00,3753.00,217,0\r\n2006-02-16,16:58:00,3752.00,3753.00,3751.00,3751.00,501,0\r\n2006-02-16,16:59:00,3751.00,3752.00,3750.00,3751.00,510,0\r\n2006-02-16,17:00:00,3751.00,3753.00,3751.00,3753.00,577,0\r\n2006-02-16,17:01:00,3753.00,3753.00,3752.00,3752.00,144,0\r\n2006-02-16,17:02:00,3752.00,3753.00,3752.00,3753.00,433,0\r\n2006-02-16,17:03:00,3754.00,3754.00,3753.00,3754.00,675,0\r\n2006-02-16,17:04:00,3754.00,3754.00,3753.00,3754.00,729,0\r\n2006-02-16,17:05:00,3755.00,3755.00,3754.00,3755.00,593,0\r\n2006-02-16,17:06:00,3755.00,3756.00,3753.00,3754.00,1345,0\r\n2006-02-16,17:07:00,3754.00,3754.00,3752.00,3753.00,802,0\r\n2006-02-16,17:08:00,3754.00,3755.00,3753.00,3754.00,1010,0\r\n2006-02-16,17:09:00,3754.00,3755.00,3753.00,3755.00,288,0\r\n2006-02-16,17:10:00,3755.00,3755.00,3754.00,3755.00,230,0\r\n2006-02-16,17:11:00,3755.00,3756.00,3755.00,3756.00,1657,0\r\n2006-02-16,17:12:00,3756.00,3756.00,3754.00,3755.00,773,0\r\n2006-02-16,17:13:00,3755.00,3757.00,3754.00,3756.00,1028,0\r\n2006-02-16,17:14:00,3756.00,3759.00,3755.00,3759.00,2396,0\r\n2006-02-16,17:15:00,3758.00,3761.00,3758.00,3759.00,8011,0\r\n2006-02-16,17:16:00,3760.00,3760.00,3759.00,3759.00,2018,0\r\n2006-02-16,17:17:00,3759.00,3760.00,3758.00,3759.00,2096,0\r\n2006-02-16,17:18:00,3759.00,3760.00,3758.00,3759.00,1142,0\r\n2006-02-16,17:19:00,3759.00,3760.00,3758.00,3759.00,781,0\r\n2006-02-16,17:20:00,3759.00,3760.00,3759.00,3760.00,2564,0\r\n2006-02-16,17:21:00,3760.00,3762.00,3759.00,3762.00,5429,0\r\n2006-02-16,17:22:00,3762.00,3762.00,3760.00,3762.00,2083,0\r\n2006-02-16,17:23:00,3762.00,3762.00,3760.00,3761.00,1440,0\r\n2006-02-16,17:24:00,3761.00,3761.00,3759.00,3760.00,2552,0\r\n2006-02-16,17:25:00,3761.00,3761.00,3759.00,3760.00,1397,0\r\n2006-02-16,17:26:00,3760.00,3761.00,3759.00,3760.00,941,0\r\n2006-02-16,17:27:00,3760.00,3760.00,3759.00,3760.00,759,0\r\n2006-02-16,17:28:00,3760.00,3763.00,3760.00,3762.00,1394,0\r\n2006-02-16,17:29:00,3763.00,3763.00,3760.00,3762.00,2952,0\r\n2006-02-16,17:30:00,3761.00,3764.00,3761.00,3764.00,4730,0\r\n2006-02-16,17:31:00,3764.00,3767.00,3763.00,3766.00,8888,0\r\n2006-02-16,17:32:00,3767.00,3768.00,3766.00,3767.00,3782,0\r\n2006-02-16,17:33:00,3767.00,3768.00,3766.00,3767.00,1190,0\r\n2006-02-16,17:34:00,3766.00,3767.00,3765.00,3766.00,2857,0\r\n2006-02-16,17:35:00,3766.00,3767.00,3765.00,3766.00,1936,0\r\n2006-02-16,17:36:00,3767.00,3767.00,3765.00,3765.00,1395,0\r\n2006-02-16,17:37:00,3766.00,3768.00,3765.00,3768.00,2170,0\r\n2006-02-16,17:38:00,3769.00,3772.00,3768.00,3770.00,7893,0\r\n2006-02-16,17:39:00,3771.00,3771.00,3768.00,3768.00,2325,0\r\n2006-02-16,17:40:00,3768.00,3768.00,3766.00,3766.00,1618,0\r\n2006-02-16,17:41:00,3766.00,3767.00,3764.00,3765.00,2213,0\r\n2006-02-16,17:42:00,3764.00,3766.00,3764.00,3764.00,703,0\r\n2006-02-16,17:43:00,3765.00,3765.00,3763.00,3764.00,1010,0\r\n2006-02-16,17:44:00,3764.00,3766.00,3764.00,3764.00,1493,0\r\n2006-02-16,17:45:00,3764.00,3764.00,3763.00,3764.00,267,0\r\n2006-02-16,17:46:00,3764.00,3765.00,3763.00,3765.00,566,0\r\n2006-02-16,17:47:00,3764.00,3766.00,3764.00,3766.00,584,0\r\n2006-02-16,17:48:00,3766.00,3767.00,3764.00,3765.00,1034,0\r\n2006-02-16,17:49:00,3765.00,3765.00,3764.00,3765.00,973,0\r\n2006-02-16,17:50:00,3765.00,3765.00,3764.00,3764.00,207,0\r\n2006-02-16,17:51:00,3764.00,3764.00,3764.00,3764.00,474,0\r\n2006-02-16,17:52:00,3763.00,3764.00,3763.00,3764.00,383,0\r\n2006-02-16,17:53:00,3764.00,3764.00,3762.00,3763.00,1166,0\r\n2006-02-16,17:54:00,3762.00,3764.00,3762.00,3763.00,501,0\r\n2006-02-16,17:55:00,3763.00,3764.00,3763.00,3763.00,357,0\r\n2006-02-16,17:56:00,3763.00,3765.00,3763.00,3764.00,341,0\r\n2006-02-16,17:57:00,3764.00,3766.00,3764.00,3766.00,231,0\r\n2006-02-16,17:58:00,3766.00,3767.00,3766.00,3767.00,416,0\r\n2006-02-16,17:59:00,3767.00,3767.00,3766.00,3766.00,6,0\r\n2006-02-16,18:00:00,3766.00,3768.00,3766.00,3766.00,617,0\r\n2006-02-16,18:01:00,3767.00,3770.00,3767.00,3769.00,2997,0\r\n2006-02-16,18:02:00,3770.00,3770.00,3767.00,3767.00,1159,0\r\n2006-02-16,18:03:00,3767.00,3767.00,3765.00,3766.00,1589,0\r\n2006-02-16,18:04:00,3767.00,3767.00,3766.00,3766.00,590,0\r\n2006-02-16,18:05:00,3765.00,3766.00,3763.00,3766.00,924,0\r\n2006-02-16,18:06:00,3765.00,3766.00,3765.00,3766.00,90,0\r\n2006-02-16,18:07:00,3767.00,3768.00,3767.00,3767.00,262,0\r\n2006-02-16,18:08:00,3767.00,3768.00,3767.00,3767.00,81,0\r\n2006-02-16,18:09:00,3767.00,3768.00,3766.00,3767.00,377,0\r\n2006-02-16,18:10:00,3766.00,3768.00,3766.00,3767.00,304,0\r\n2006-02-16,18:11:00,3766.00,3769.00,3766.00,3769.00,652,0\r\n2006-02-16,18:12:00,3770.00,3771.00,3769.00,3771.00,435,0\r\n2006-02-16,18:13:00,3771.00,3773.00,3771.00,3773.00,1043,0\r\n2006-02-16,18:14:00,3773.00,3774.00,3772.00,3772.00,2075,0\r\n2006-02-16,18:15:00,3772.00,3773.00,3772.00,3772.00,196,0\r\n2006-02-16,18:16:00,3773.00,3773.00,3771.00,3771.00,958,0\r\n2006-02-16,18:17:00,3771.00,3771.00,3771.00,3771.00,1342,0\r\n2006-02-16,18:18:00,3772.00,3772.00,3770.00,3771.00,407,0\r\n2006-02-16,18:19:00,3770.00,3771.00,3769.00,3770.00,731,0\r\n2006-02-16,18:20:00,3771.00,3771.00,3770.00,3770.00,177,0\r\n2006-02-16,18:21:00,3771.00,3771.00,3770.00,3771.00,200,0\r\n2006-02-16,18:22:00,3771.00,3772.00,3771.00,3772.00,169,0\r\n2006-02-16,18:23:00,3771.00,3771.00,3770.00,3771.00,168,0\r\n2006-02-16,18:24:00,3770.00,3772.00,3770.00,3772.00,161,0\r\n2006-02-16,18:25:00,3772.00,3772.00,3771.00,3771.00,356,0\r\n2006-02-16,18:26:00,3771.00,3771.00,3770.00,3770.00,191,0\r\n2006-02-16,18:27:00,3770.00,3771.00,3770.00,3771.00,59,0\r\n2006-02-16,18:28:00,3770.00,3770.00,3769.00,3769.00,771,0\r\n2006-02-16,18:29:00,3769.00,3769.00,3767.00,3768.00,590,0\r\n2006-02-16,18:30:00,3768.00,3769.00,3768.00,3769.00,258,0\r\n2006-02-16,18:31:00,3768.00,3769.00,3768.00,3769.00,795,0\r\n2006-02-16,18:32:00,3769.00,3771.00,3769.00,3770.00,880,0\r\n2006-02-16,18:33:00,3770.00,3770.00,3766.00,3767.00,1028,0\r\n2006-02-16,18:34:00,3766.00,3767.00,3765.00,3765.00,445,0\r\n2006-02-16,18:35:00,3765.00,3766.00,3765.00,3766.00,457,0\r\n2006-02-16,18:36:00,3767.00,3767.00,3766.00,3767.00,138,0\r\n2006-02-16,18:37:00,3767.00,3768.00,3767.00,3768.00,478,0\r\n2006-02-16,18:38:00,3767.00,3767.00,3767.00,3767.00,38,0\r\n2006-02-16,18:39:00,3767.00,3767.00,3766.00,3767.00,190,0\r\n2006-02-16,18:40:00,3768.00,3768.00,3767.00,3767.00,307,0\r\n2006-02-16,18:41:00,3767.00,3768.00,3767.00,3767.00,138,0\r\n2006-02-16,18:42:00,3768.00,3768.00,3767.00,3768.00,272,0\r\n2006-02-16,18:43:00,3768.00,3768.00,3767.00,3767.00,206,0\r\n2006-02-16,18:44:00,3767.00,3767.00,3766.00,3767.00,382,0\r\n2006-02-16,18:45:00,3767.00,3767.00,3767.00,3767.00,48,0\r\n2006-02-16,18:46:00,3766.00,3766.00,3766.00,3766.00,496,0\r\n2006-02-16,18:47:00,3766.00,3766.00,3764.00,3765.00,1293,0\r\n2006-02-16,18:48:00,3764.00,3764.00,3764.00,3764.00,421,0\r\n2006-02-16,18:49:00,3764.00,3765.00,3764.00,3764.00,268,0\r\n2006-02-16,18:50:00,3763.00,3764.00,3763.00,3764.00,75,0\r\n2006-02-16,18:51:00,3764.00,3764.00,3764.00,3764.00,92,0\r\n2006-02-16,18:52:00,3765.00,3765.00,3765.00,3765.00,177,0\r\n2006-02-16,18:53:00,3765.00,3765.00,3765.00,3765.00,17,0\r\n2006-02-16,18:55:00,3766.00,3766.00,3765.00,3765.00,22,0\r\n2006-02-16,18:56:00,3766.00,3766.00,3766.00,3766.00,76,0\r\n2006-02-16,18:57:00,3765.00,3766.00,3765.00,3766.00,53,0\r\n2006-02-16,18:58:00,3765.00,3765.00,3765.00,3765.00,190,0\r\n2006-02-16,18:59:00,3765.00,3765.00,3764.00,3764.00,12,0\r\n2006-02-16,19:00:00,3765.00,3765.00,3765.00,3765.00,166,0\r\n2006-02-16,19:01:00,3765.00,3765.00,3764.00,3765.00,43,0\r\n2006-02-16,19:02:00,3765.00,3765.00,3763.00,3764.00,258,0\r\n2006-02-16,19:03:00,3764.00,3765.00,3764.00,3765.00,55,0\r\n2006-02-16,19:04:00,3765.00,3766.00,3765.00,3766.00,130,0\r\n2006-02-16,19:05:00,3765.00,3766.00,3765.00,3766.00,191,0\r\n2006-02-16,19:08:00,3767.00,3767.00,3766.00,3766.00,15,0\r\n2006-02-16,19:09:00,3766.00,3766.00,3766.00,3766.00,5,0\r\n2006-02-16,19:10:00,3767.00,3767.00,3767.00,3767.00,4,0\r\n2006-02-16,19:11:00,3767.00,3767.00,3767.00,3767.00,1,0\r\n2006-02-16,19:12:00,3766.00,3766.00,3766.00,3766.00,5,0\r\n2006-02-16,19:13:00,3766.00,3767.00,3766.00,3767.00,9,0\r\n2006-02-16,19:14:00,3767.00,3767.00,3767.00,3767.00,1,0\r\n2006-02-16,19:15:00,3767.00,3767.00,3767.00,3767.00,261,0\r\n2006-02-16,19:16:00,3767.00,3767.00,3767.00,3767.00,10,0\r\n2006-02-16,19:17:00,3768.00,3768.00,3768.00,3768.00,195,0\r\n2006-02-16,19:18:00,3768.00,3768.00,3768.00,3768.00,71,0\r\n2006-02-16,19:19:00,3767.00,3768.00,3767.00,3768.00,20,0\r\n2006-02-16,19:20:00,3767.00,3767.00,3766.00,3766.00,401,0\r\n2006-02-16,19:21:00,3767.00,3767.00,3767.00,3767.00,210,0\r\n2006-02-16,19:22:00,3766.00,3767.00,3766.00,3766.00,390,0\r\n2006-02-16,19:23:00,3765.00,3765.00,3765.00,3765.00,253,0\r\n2006-02-16,19:24:00,3765.00,3765.00,3764.00,3765.00,400,0\r\n2006-02-16,19:25:00,3764.00,3764.00,3764.00,3764.00,56,0\r\n2006-02-16,19:26:00,3764.00,3764.00,3764.00,3764.00,103,0\r\n2006-02-16,19:27:00,3764.00,3764.00,3764.00,3764.00,261,0\r\n2006-02-16,19:28:00,3764.00,3764.00,3763.00,3764.00,207,0\r\n2006-02-16,19:29:00,3764.00,3764.00,3764.00,3764.00,100,0\r\n2006-02-16,19:30:00,3764.00,3764.00,3764.00,3764.00,54,0\r\n2006-02-16,19:31:00,3765.00,3765.00,3765.00,3765.00,10,0\r\n2006-02-16,19:32:00,3765.00,3765.00,3764.00,3764.00,135,0\r\n2006-02-16,19:33:00,3764.00,3764.00,3764.00,3764.00,113,0\r\n2006-02-16,19:34:00,3765.00,3765.00,3765.00,3765.00,46,0\r\n2006-02-16,19:35:00,3765.00,3768.00,3765.00,3766.00,374,0\r\n2006-02-16,19:36:00,3766.00,3766.00,3766.00,3766.00,36,0\r\n2006-02-16,19:37:00,3767.00,3767.00,3766.00,3767.00,170,0\r\n2006-02-16,19:38:00,3768.00,3769.00,3768.00,3769.00,494,0\r\n2006-02-16,19:39:00,3769.00,3770.00,3769.00,3770.00,238,0\r\n2006-02-16,19:40:00,3770.00,3770.00,3768.00,3768.00,59,0\r\n2006-02-16,19:41:00,3769.00,3769.00,3769.00,3769.00,23,0\r\n2006-02-16,19:42:00,3769.00,3769.00,3768.00,3768.00,18,0\r\n2006-02-16,19:43:00,3768.00,3768.00,3768.00,3768.00,3,0\r\n2006-02-16,19:44:00,3768.00,3768.00,3767.00,3767.00,90,0\r\n2006-02-16,19:45:00,3768.00,3768.00,3767.00,3767.00,86,0\r\n2006-02-16,19:46:00,3766.00,3766.00,3764.00,3766.00,440,0\r\n2006-02-16,19:47:00,3765.00,3766.00,3764.00,3765.00,154,0\r\n2006-02-16,19:48:00,3765.00,3765.00,3764.00,3765.00,27,0\r\n2006-02-16,19:49:00,3765.00,3765.00,3765.00,3765.00,101,0\r\n2006-02-16,19:50:00,3765.00,3765.00,3765.00,3765.00,20,0\r\n2006-02-16,19:51:00,3765.00,3765.00,3764.00,3764.00,14,0\r\n2006-02-16,19:52:00,3764.00,3764.00,3764.00,3764.00,242,0\r\n2006-02-16,19:53:00,3763.00,3763.00,3762.00,3763.00,362,0\r\n2006-02-16,19:54:00,3762.00,3763.00,3762.00,3763.00,372,0\r\n2006-02-16,19:55:00,3762.00,3763.00,3762.00,3763.00,150,0\r\n2006-02-16,19:56:00,3763.00,3765.00,3763.00,3764.00,287,0\r\n2006-02-16,19:57:00,3764.00,3764.00,3763.00,3763.00,533,0\r\n2006-02-16,19:58:00,3762.00,3763.00,3762.00,3763.00,140,0\r\n2006-02-16,19:59:00,3762.00,3763.00,3761.00,3762.00,188,0\r\n2006-02-16,20:00:00,3762.00,3765.00,3762.00,3764.00,288,0\r\n2006-02-16,20:01:00,3764.00,3765.00,3763.00,3765.00,281,0\r\n2006-02-16,20:02:00,3765.00,3765.00,3764.00,3764.00,65,0\r\n2006-02-16,20:03:00,3764.00,3764.00,3763.00,3764.00,40,0\r\n2006-02-16,20:04:00,3764.00,3764.00,3763.00,3763.00,88,0\r\n2006-02-16,20:05:00,3763.00,3763.00,3763.00,3763.00,100,0\r\n2006-02-16,20:06:00,3763.00,3764.00,3763.00,3764.00,147,0\r\n2006-02-16,20:07:00,3764.00,3765.00,3764.00,3765.00,47,0\r\n2006-02-16,20:08:00,3764.00,3764.00,3763.00,3763.00,92,0\r\n2006-02-16,20:09:00,3763.00,3764.00,3763.00,3764.00,164,0\r\n2006-02-16,20:10:00,3765.00,3765.00,3765.00,3765.00,203,0\r\n2006-02-16,20:12:00,3764.00,3764.00,3764.00,3764.00,1,0\r\n2006-02-16,20:13:00,3764.00,3764.00,3764.00,3764.00,7,0\r\n2006-02-16,20:14:00,3764.00,3764.00,3763.00,3764.00,162,0\r\n2006-02-16,20:16:00,3764.00,3764.00,3764.00,3764.00,36,0\r\n2006-02-16,20:17:00,3763.00,3764.00,3763.00,3764.00,30,0\r\n2006-02-16,20:18:00,3764.00,3766.00,3764.00,3764.00,155,0\r\n2006-02-16,20:19:00,3765.00,3765.00,3765.00,3765.00,6,0\r\n2006-02-16,20:20:00,3766.00,3767.00,3765.00,3765.00,343,0\r\n2006-02-16,20:21:00,3764.00,3764.00,3764.00,3764.00,16,0\r\n2006-02-16,20:23:00,3765.00,3765.00,3765.00,3765.00,18,0\r\n2006-02-16,20:24:00,3764.00,3765.00,3764.00,3765.00,50,0\r\n2006-02-16,20:25:00,3763.00,3764.00,3763.00,3763.00,242,0\r\n2006-02-16,20:26:00,3763.00,3763.00,3763.00,3763.00,24,0\r\n2006-02-16,20:27:00,3764.00,3764.00,3764.00,3764.00,1,0\r\n2006-02-16,20:28:00,3764.00,3764.00,3763.00,3763.00,38,0\r\n2006-02-16,20:29:00,3763.00,3763.00,3763.00,3763.00,7,0\r\n2006-02-16,20:30:00,3763.00,3763.00,3762.00,3763.00,22,0\r\n2006-02-16,20:32:00,3763.00,3763.00,3763.00,3763.00,75,0\r\n2006-02-16,20:33:00,3762.00,3763.00,3762.00,3763.00,151,0\r\n2006-02-16,20:35:00,3763.00,3763.00,3763.00,3763.00,30,0\r\n2006-02-16,20:36:00,3764.00,3764.00,3763.00,3763.00,110,0\r\n2006-02-16,20:37:00,3762.00,3762.00,3762.00,3762.00,9,0\r\n2006-02-16,20:38:00,3762.00,3762.00,3759.00,3759.00,1520,0\r\n2006-02-16,20:39:00,3760.00,3762.00,3760.00,3761.00,283,0\r\n2006-02-16,20:40:00,3762.00,3762.00,3761.00,3762.00,51,0\r\n2006-02-16,20:41:00,3762.00,3762.00,3762.00,3762.00,5,0\r\n2006-02-16,20:42:00,3761.00,3763.00,3761.00,3763.00,79,0\r\n2006-02-16,20:43:00,3763.00,3763.00,3762.00,3762.00,7,0\r\n2006-02-16,20:44:00,3763.00,3763.00,3762.00,3763.00,88,0\r\n2006-02-16,20:45:00,3763.00,3763.00,3763.00,3763.00,22,0\r\n2006-02-16,20:46:00,3764.00,3765.00,3764.00,3765.00,31,0\r\n2006-02-16,20:47:00,3765.00,3766.00,3765.00,3766.00,32,0\r\n2006-02-16,20:48:00,3766.00,3766.00,3765.00,3765.00,45,0\r\n2006-02-16,20:49:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-16,20:50:00,3766.00,3766.00,3765.00,3765.00,59,0\r\n2006-02-16,20:51:00,3765.00,3765.00,3765.00,3765.00,10,0\r\n2006-02-16,20:52:00,3765.00,3765.00,3765.00,3765.00,31,0\r\n2006-02-16,20:54:00,3765.00,3765.00,3765.00,3765.00,17,0\r\n2006-02-16,20:56:00,3765.00,3765.00,3765.00,3765.00,27,0\r\n2006-02-16,20:57:00,3765.00,3765.00,3764.00,3764.00,47,0\r\n2006-02-16,20:58:00,3764.00,3765.00,3764.00,3765.00,38,0\r\n2006-02-16,21:00:00,3765.00,3766.00,3765.00,3766.00,30,0\r\n2006-02-16,21:01:00,3766.00,3766.00,3766.00,3766.00,225,0\r\n2006-02-16,21:02:00,3766.00,3766.00,3765.00,3765.00,2,0\r\n2006-02-16,21:03:00,3766.00,3766.00,3766.00,3766.00,1,0\r\n2006-02-16,21:04:00,3766.00,3766.00,3766.00,3766.00,2,0\r\n2006-02-16,21:05:00,3765.00,3765.00,3765.00,3765.00,5,0\r\n2006-02-16,21:08:00,3766.00,3766.00,3766.00,3766.00,8,0\r\n2006-02-16,21:09:00,3766.00,3766.00,3766.00,3766.00,82,0\r\n2006-02-16,21:10:00,3766.00,3766.00,3766.00,3766.00,107,0\r\n2006-02-16,21:11:00,3765.00,3765.00,3765.00,3765.00,60,0\r\n2006-02-16,21:12:00,3765.00,3765.00,3765.00,3765.00,62,0\r\n2006-02-16,21:13:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-16,21:15:00,3765.00,3766.00,3765.00,3766.00,88,0\r\n2006-02-16,21:16:00,3766.00,3766.00,3766.00,3766.00,11,0\r\n2006-02-16,21:18:00,3767.00,3767.00,3767.00,3767.00,92,0\r\n2006-02-16,21:19:00,3767.00,3769.00,3767.00,3769.00,44,0\r\n2006-02-16,21:20:00,3769.00,3769.00,3769.00,3769.00,62,0\r\n2006-02-16,21:21:00,3769.00,3769.00,3768.00,3768.00,9,0\r\n2006-02-16,21:22:00,3768.00,3768.00,3768.00,3768.00,1,0\r\n2006-02-16,21:23:00,3768.00,3768.00,3768.00,3768.00,1,0\r\n2006-02-16,21:24:00,3767.00,3767.00,3767.00,3767.00,1,0\r\n2006-02-16,21:25:00,3769.00,3769.00,3767.00,3767.00,72,0\r\n2006-02-16,21:26:00,3769.00,3769.00,3769.00,3769.00,4,0\r\n2006-02-16,21:27:00,3768.00,3768.00,3767.00,3767.00,94,0\r\n2006-02-16,21:29:00,3768.00,3768.00,3768.00,3768.00,5,0\r\n2006-02-16,21:30:00,3768.00,3769.00,3768.00,3769.00,3,0\r\n2006-02-16,21:31:00,3768.00,3768.00,3768.00,3768.00,2,0\r\n2006-02-16,21:32:00,3769.00,3770.00,3769.00,3769.00,39,0\r\n2006-02-16,21:33:00,3770.00,3770.00,3769.00,3770.00,539,0\r\n2006-02-16,21:34:00,3769.00,3769.00,3769.00,3769.00,51,0\r\n2006-02-16,21:35:00,3769.00,3769.00,3769.00,3769.00,2,0\r\n2006-02-16,21:36:00,3769.00,3769.00,3769.00,3769.00,1,0\r\n2006-02-16,21:37:00,3769.00,3770.00,3769.00,3770.00,21,0\r\n2006-02-16,21:38:00,3770.00,3770.00,3770.00,3770.00,217,0\r\n2006-02-16,21:39:00,3770.00,3771.00,3770.00,3770.00,96,0\r\n2006-02-16,21:40:00,3770.00,3770.00,3769.00,3769.00,50,0\r\n2006-02-16,21:41:00,3770.00,3771.00,3770.00,3771.00,68,0\r\n2006-02-16,21:42:00,3771.00,3771.00,3770.00,3771.00,45,0\r\n2006-02-16,21:43:00,3770.00,3770.00,3770.00,3770.00,20,0\r\n2006-02-16,21:44:00,3770.00,3771.00,3770.00,3770.00,48,0\r\n2006-02-16,21:45:00,3770.00,3771.00,3770.00,3771.00,101,0\r\n2006-02-16,21:46:00,3770.00,3771.00,3770.00,3771.00,6,0\r\n2006-02-16,21:47:00,3770.00,3771.00,3770.00,3770.00,7,0\r\n2006-02-16,21:48:00,3771.00,3771.00,3771.00,3771.00,8,0\r\n2006-02-16,21:49:00,3771.00,3772.00,3771.00,3772.00,579,0\r\n2006-02-16,21:50:00,3771.00,3772.00,3771.00,3771.00,20,0\r\n2006-02-16,21:51:00,3772.00,3772.00,3771.00,3771.00,76,0\r\n2006-02-16,21:52:00,3772.00,3772.00,3772.00,3772.00,1,0\r\n2006-02-16,21:53:00,3771.00,3773.00,3771.00,3773.00,512,0\r\n2006-02-16,21:54:00,3773.00,3773.00,3772.00,3772.00,52,0\r\n2006-02-16,21:55:00,3773.00,3773.00,3773.00,3773.00,71,0\r\n2006-02-16,21:56:00,3773.00,3774.00,3773.00,3774.00,698,0\r\n2006-02-16,21:57:00,3773.00,3774.00,3772.00,3773.00,680,0\r\n2006-02-16,21:58:00,3773.00,3774.00,3773.00,3774.00,65,0\r\n2006-02-16,21:59:00,3774.00,3774.00,3773.00,3773.00,537,0\r\n2006-02-16,22:00:00,3773.00,3774.00,3772.00,3773.00,339,0\r\n2006-02-17,09:01:00,3765.00,3766.00,3764.00,3765.00,4516,0\r\n2006-02-17,09:02:00,3764.00,3764.00,3761.00,3763.00,3152,0\r\n2006-02-17,09:03:00,3763.00,3764.00,3762.00,3762.00,784,0\r\n2006-02-17,09:04:00,3762.00,3762.00,3759.00,3759.00,2964,0\r\n2006-02-17,09:05:00,3759.00,3760.00,3758.00,3759.00,1499,0\r\n2006-02-17,09:06:00,3759.00,3761.00,3759.00,3760.00,797,0\r\n2006-02-17,09:07:00,3761.00,3762.00,3760.00,3761.00,749,0\r\n2006-02-17,09:08:00,3761.00,3764.00,3761.00,3762.00,1163,0\r\n2006-02-17,09:09:00,3762.00,3764.00,3760.00,3764.00,1732,0\r\n2006-02-17,09:10:00,3764.00,3767.00,3764.00,3766.00,1491,0\r\n2006-02-17,09:11:00,3766.00,3767.00,3764.00,3764.00,1811,0\r\n2006-02-17,09:12:00,3765.00,3765.00,3763.00,3763.00,266,0\r\n2006-02-17,09:13:00,3763.00,3764.00,3763.00,3763.00,526,0\r\n2006-02-17,09:14:00,3763.00,3764.00,3763.00,3764.00,753,0\r\n2006-02-17,09:15:00,3764.00,3764.00,3761.00,3761.00,2020,0\r\n2006-02-17,09:16:00,3761.00,3762.00,3761.00,3762.00,1990,0\r\n2006-02-17,09:17:00,3762.00,3762.00,3760.00,3762.00,1265,0\r\n2006-02-17,09:18:00,3761.00,3762.00,3761.00,3762.00,930,0\r\n2006-02-17,09:19:00,3762.00,3763.00,3762.00,3762.00,889,0\r\n2006-02-17,09:20:00,3762.00,3762.00,3760.00,3760.00,1218,0\r\n2006-02-17,09:21:00,3760.00,3761.00,3758.00,3758.00,2177,0\r\n2006-02-17,09:22:00,3759.00,3760.00,3757.00,3757.00,3299,0\r\n2006-02-17,09:23:00,3757.00,3760.00,3756.00,3759.00,1694,0\r\n2006-02-17,09:24:00,3759.00,3759.00,3757.00,3758.00,956,0\r\n2006-02-17,09:25:00,3758.00,3758.00,3756.00,3756.00,1712,0\r\n2006-02-17,09:26:00,3756.00,3758.00,3755.00,3758.00,1021,0\r\n2006-02-17,09:27:00,3758.00,3758.00,3756.00,3757.00,999,0\r\n2006-02-17,09:28:00,3757.00,3759.00,3757.00,3759.00,679,0\r\n2006-02-17,09:29:00,3759.00,3759.00,3756.00,3756.00,1647,0\r\n2006-02-17,09:30:00,3756.00,3757.00,3755.00,3755.00,1269,0\r\n2006-02-17,09:31:00,3755.00,3758.00,3755.00,3758.00,1744,0\r\n2006-02-17,09:32:00,3757.00,3757.00,3756.00,3756.00,749,0\r\n2006-02-17,09:33:00,3756.00,3758.00,3756.00,3756.00,1581,0\r\n2006-02-17,09:34:00,3756.00,3758.00,3755.00,3756.00,654,0\r\n2006-02-17,09:35:00,3756.00,3758.00,3756.00,3758.00,365,0\r\n2006-02-17,09:36:00,3757.00,3759.00,3757.00,3759.00,1070,0\r\n2006-02-17,09:37:00,3759.00,3760.00,3758.00,3760.00,1126,0\r\n2006-02-17,09:38:00,3760.00,3761.00,3760.00,3761.00,926,0\r\n2006-02-17,09:39:00,3761.00,3761.00,3761.00,3761.00,146,0\r\n2006-02-17,09:40:00,3761.00,3761.00,3761.00,3761.00,382,0\r\n2006-02-17,09:41:00,3762.00,3763.00,3761.00,3762.00,685,0\r\n2006-02-17,09:42:00,3762.00,3762.00,3762.00,3762.00,486,0\r\n2006-02-17,09:43:00,3761.00,3762.00,3761.00,3762.00,72,0\r\n2006-02-17,09:44:00,3762.00,3762.00,3761.00,3762.00,167,0\r\n2006-02-17,09:45:00,3761.00,3761.00,3761.00,3761.00,377,0\r\n2006-02-17,09:46:00,3761.00,3762.00,3761.00,3762.00,840,0\r\n2006-02-17,09:47:00,3762.00,3762.00,3761.00,3762.00,481,0\r\n2006-02-17,09:48:00,3762.00,3763.00,3762.00,3763.00,881,0\r\n2006-02-17,09:49:00,3762.00,3762.00,3762.00,3762.00,322,0\r\n2006-02-17,09:50:00,3762.00,3762.00,3761.00,3761.00,1052,0\r\n2006-02-17,09:51:00,3761.00,3761.00,3760.00,3760.00,1415,0\r\n2006-02-17,09:52:00,3760.00,3761.00,3760.00,3761.00,302,0\r\n2006-02-17,09:53:00,3761.00,3761.00,3760.00,3761.00,346,0\r\n2006-02-17,09:54:00,3761.00,3761.00,3760.00,3761.00,105,0\r\n2006-02-17,09:55:00,3761.00,3761.00,3761.00,3761.00,109,0\r\n2006-02-17,09:56:00,3761.00,3763.00,3761.00,3763.00,493,0\r\n2006-02-17,09:57:00,3763.00,3764.00,3762.00,3763.00,200,0\r\n2006-02-17,09:58:00,3763.00,3763.00,3762.00,3763.00,743,0\r\n2006-02-17,09:59:00,3763.00,3763.00,3762.00,3762.00,265,0\r\n2006-02-17,10:00:00,3762.00,3764.00,3762.00,3764.00,221,0\r\n2006-02-17,10:01:00,3764.00,3765.00,3763.00,3764.00,2335,0\r\n2006-02-17,10:02:00,3764.00,3765.00,3764.00,3765.00,367,0\r\n2006-02-17,10:03:00,3764.00,3765.00,3764.00,3765.00,1013,0\r\n2006-02-17,10:04:00,3766.00,3766.00,3764.00,3764.00,5499,0\r\n2006-02-17,10:05:00,3764.00,3765.00,3764.00,3764.00,986,0\r\n2006-02-17,10:06:00,3764.00,3766.00,3764.00,3766.00,1060,0\r\n2006-02-17,10:07:00,3766.00,3766.00,3764.00,3764.00,1785,0\r\n2006-02-17,10:08:00,3764.00,3765.00,3763.00,3765.00,772,0\r\n2006-02-17,10:09:00,3764.00,3765.00,3764.00,3765.00,3516,0\r\n2006-02-17,10:10:00,3765.00,3765.00,3764.00,3764.00,7065,0\r\n2006-02-17,10:11:00,3764.00,3765.00,3764.00,3764.00,1130,0\r\n2006-02-17,10:12:00,3764.00,3766.00,3764.00,3765.00,731,0\r\n2006-02-17,10:13:00,3764.00,3764.00,3763.00,3764.00,1977,0\r\n2006-02-17,10:14:00,3764.00,3764.00,3763.00,3763.00,470,0\r\n2006-02-17,10:15:00,3764.00,3764.00,3764.00,3764.00,11,0\r\n2006-02-17,10:16:00,3764.00,3764.00,3763.00,3764.00,702,0\r\n2006-02-17,10:17:00,3765.00,3765.00,3764.00,3765.00,214,0\r\n2006-02-17,10:18:00,3765.00,3765.00,3765.00,3765.00,525,0\r\n2006-02-17,10:19:00,3765.00,3765.00,3764.00,3764.00,35,0\r\n2006-02-17,10:20:00,3764.00,3765.00,3764.00,3764.00,291,0\r\n2006-02-17,10:21:00,3764.00,3765.00,3763.00,3764.00,1115,0\r\n2006-02-17,10:22:00,3763.00,3764.00,3763.00,3764.00,471,0\r\n2006-02-17,10:23:00,3764.00,3765.00,3763.00,3763.00,577,0\r\n2006-02-17,10:24:00,3763.00,3764.00,3763.00,3764.00,91,0\r\n2006-02-17,10:25:00,3763.00,3764.00,3762.00,3762.00,495,0\r\n2006-02-17,10:26:00,3763.00,3763.00,3762.00,3763.00,180,0\r\n2006-02-17,10:27:00,3763.00,3763.00,3761.00,3761.00,733,0\r\n2006-02-17,10:28:00,3761.00,3762.00,3761.00,3762.00,187,0\r\n2006-02-17,10:29:00,3762.00,3763.00,3762.00,3763.00,433,0\r\n2006-02-17,10:30:00,3763.00,3764.00,3763.00,3763.00,401,0\r\n2006-02-17,10:31:00,3763.00,3764.00,3763.00,3763.00,76,0\r\n2006-02-17,10:32:00,3763.00,3763.00,3763.00,3763.00,104,0\r\n2006-02-17,10:33:00,3763.00,3764.00,3762.00,3763.00,119,0\r\n2006-02-17,10:34:00,3763.00,3763.00,3761.00,3762.00,889,0\r\n2006-02-17,10:35:00,3762.00,3763.00,3762.00,3763.00,349,0\r\n2006-02-17,10:36:00,3763.00,3764.00,3762.00,3763.00,228,0\r\n2006-02-17,10:37:00,3762.00,3763.00,3762.00,3763.00,223,0\r\n2006-02-17,10:38:00,3763.00,3764.00,3763.00,3763.00,78,0\r\n2006-02-17,10:39:00,3763.00,3764.00,3763.00,3764.00,37,0\r\n2006-02-17,10:40:00,3763.00,3764.00,3763.00,3763.00,2244,0\r\n2006-02-17,10:41:00,3763.00,3763.00,3762.00,3762.00,331,0\r\n2006-02-17,10:42:00,3762.00,3762.00,3761.00,3761.00,545,0\r\n2006-02-17,10:43:00,3761.00,3762.00,3761.00,3761.00,14,0\r\n2006-02-17,10:44:00,3761.00,3762.00,3761.00,3762.00,47,0\r\n2006-02-17,10:45:00,3761.00,3762.00,3761.00,3762.00,49,0\r\n2006-02-17,10:46:00,3762.00,3763.00,3762.00,3763.00,310,0\r\n2006-02-17,10:47:00,3763.00,3764.00,3763.00,3764.00,541,0\r\n2006-02-17,10:48:00,3763.00,3764.00,3763.00,3763.00,18,0\r\n2006-02-17,10:49:00,3763.00,3764.00,3763.00,3763.00,114,0\r\n2006-02-17,10:50:00,3764.00,3764.00,3763.00,3763.00,425,0\r\n2006-02-17,10:51:00,3762.00,3764.00,3762.00,3764.00,852,0\r\n2006-02-17,10:52:00,3764.00,3764.00,3763.00,3764.00,2796,0\r\n2006-02-17,10:53:00,3764.00,3764.00,3763.00,3763.00,614,0\r\n2006-02-17,10:54:00,3763.00,3764.00,3762.00,3764.00,243,0\r\n2006-02-17,10:55:00,3764.00,3766.00,3764.00,3765.00,673,0\r\n2006-02-17,10:56:00,3765.00,3766.00,3764.00,3765.00,176,0\r\n2006-02-17,10:57:00,3764.00,3765.00,3764.00,3765.00,313,0\r\n2006-02-17,10:58:00,3765.00,3766.00,3765.00,3766.00,823,0\r\n2006-02-17,10:59:00,3765.00,3766.00,3765.00,3766.00,1141,0\r\n2006-02-17,11:00:00,3766.00,3767.00,3765.00,3766.00,1445,0\r\n2006-02-17,11:01:00,3766.00,3768.00,3766.00,3767.00,1202,0\r\n2006-02-17,11:02:00,3767.00,3768.00,3767.00,3767.00,804,0\r\n2006-02-17,11:03:00,3767.00,3767.00,3766.00,3767.00,257,0\r\n2006-02-17,11:04:00,3767.00,3767.00,3765.00,3765.00,1041,0\r\n2006-02-17,11:05:00,3766.00,3766.00,3763.00,3764.00,713,0\r\n2006-02-17,11:06:00,3764.00,3765.00,3764.00,3764.00,499,0\r\n2006-02-17,11:07:00,3765.00,3765.00,3764.00,3764.00,370,0\r\n2006-02-17,11:08:00,3764.00,3765.00,3764.00,3765.00,391,0\r\n2006-02-17,11:09:00,3765.00,3765.00,3764.00,3765.00,1321,0\r\n2006-02-17,11:10:00,3765.00,3765.00,3764.00,3765.00,549,0\r\n2006-02-17,11:11:00,3765.00,3765.00,3764.00,3764.00,97,0\r\n2006-02-17,11:12:00,3764.00,3764.00,3763.00,3764.00,990,0\r\n2006-02-17,11:13:00,3763.00,3764.00,3763.00,3764.00,1020,0\r\n2006-02-17,11:14:00,3764.00,3765.00,3764.00,3764.00,71,0\r\n2006-02-17,11:15:00,3765.00,3765.00,3764.00,3764.00,73,0\r\n2006-02-17,11:16:00,3765.00,3765.00,3764.00,3764.00,427,0\r\n2006-02-17,11:17:00,3764.00,3765.00,3763.00,3763.00,538,0\r\n2006-02-17,11:18:00,3764.00,3764.00,3763.00,3763.00,483,0\r\n2006-02-17,11:19:00,3763.00,3765.00,3763.00,3765.00,738,0\r\n2006-02-17,11:20:00,3765.00,3765.00,3764.00,3765.00,812,0\r\n2006-02-17,11:21:00,3766.00,3766.00,3763.00,3764.00,437,0\r\n2006-02-17,11:22:00,3764.00,3765.00,3764.00,3764.00,289,0\r\n2006-02-17,11:23:00,3765.00,3765.00,3764.00,3764.00,215,0\r\n2006-02-17,11:24:00,3764.00,3764.00,3764.00,3764.00,1207,0\r\n2006-02-17,11:25:00,3764.00,3765.00,3764.00,3765.00,18,0\r\n2006-02-17,11:26:00,3765.00,3766.00,3765.00,3765.00,363,0\r\n2006-02-17,11:27:00,3765.00,3765.00,3764.00,3765.00,144,0\r\n2006-02-17,11:28:00,3765.00,3765.00,3765.00,3765.00,906,0\r\n2006-02-17,11:29:00,3765.00,3765.00,3764.00,3765.00,32,0\r\n2006-02-17,11:30:00,3765.00,3766.00,3765.00,3766.00,227,0\r\n2006-02-17,11:31:00,3766.00,3767.00,3765.00,3766.00,1496,0\r\n2006-02-17,11:32:00,3766.00,3766.00,3765.00,3766.00,459,0\r\n2006-02-17,11:33:00,3765.00,3766.00,3765.00,3766.00,28,0\r\n2006-02-17,11:34:00,3765.00,3768.00,3765.00,3768.00,2070,0\r\n2006-02-17,11:35:00,3768.00,3770.00,3768.00,3769.00,2620,0\r\n2006-02-17,11:36:00,3770.00,3771.00,3769.00,3771.00,2537,0\r\n2006-02-17,11:37:00,3770.00,3773.00,3770.00,3772.00,2766,0\r\n2006-02-17,11:38:00,3772.00,3773.00,3771.00,3773.00,2453,0\r\n2006-02-17,11:39:00,3773.00,3777.00,3772.00,3776.00,7274,0\r\n2006-02-17,11:40:00,3776.00,3779.00,3776.00,3776.00,3601,0\r\n2006-02-17,11:41:00,3776.00,3777.00,3774.00,3774.00,3345,0\r\n2006-02-17,11:42:00,3775.00,3776.00,3774.00,3776.00,1502,0\r\n2006-02-17,11:43:00,3776.00,3777.00,3775.00,3776.00,911,0\r\n2006-02-17,11:44:00,3776.00,3777.00,3775.00,3776.00,1639,0\r\n2006-02-17,11:45:00,3776.00,3777.00,3776.00,3777.00,918,0\r\n2006-02-17,11:46:00,3776.00,3777.00,3775.00,3776.00,796,0\r\n2006-02-17,11:47:00,3776.00,3777.00,3776.00,3776.00,946,0\r\n2006-02-17,11:48:00,3777.00,3777.00,3776.00,3776.00,865,0\r\n2006-02-17,11:49:00,3776.00,3778.00,3776.00,3778.00,2564,0\r\n2006-02-17,11:50:00,3778.00,3780.00,3778.00,3780.00,3290,0\r\n2006-02-17,11:51:00,3780.00,3783.00,3780.00,3781.00,7464,0\r\n2006-02-17,11:52:00,3781.00,3782.00,3778.00,3778.00,5179,0\r\n2006-02-17,11:53:00,3778.00,3779.00,3775.00,3776.00,5594,0\r\n2006-02-17,11:54:00,3776.00,3778.00,3776.00,3776.00,3825,0\r\n2006-02-17,11:55:00,3777.00,3777.00,3774.00,3774.00,3015,0\r\n2006-02-17,11:56:00,3774.00,3775.00,3771.00,3772.00,5217,0\r\n2006-02-17,11:57:00,3773.00,3776.00,3773.00,3775.00,6133,0\r\n2006-02-17,11:58:00,3775.00,3777.00,3775.00,3777.00,3241,0\r\n2006-02-17,11:59:00,3777.00,3778.00,3776.00,3778.00,2446,0\r\n2006-02-17,12:00:00,3778.00,3778.00,3776.00,3776.00,3938,0\r\n2006-02-17,12:01:00,3776.00,3776.00,3773.00,3773.00,5511,0\r\n2006-02-17,12:02:00,3774.00,3775.00,3773.00,3773.00,1841,0\r\n2006-02-17,12:03:00,3773.00,3775.00,3773.00,3775.00,1396,0\r\n2006-02-17,12:04:00,3774.00,3776.00,3774.00,3774.00,2112,0\r\n2006-02-17,12:05:00,3775.00,3775.00,3773.00,3774.00,1237,0\r\n2006-02-17,12:06:00,3774.00,3775.00,3773.00,3774.00,940,0\r\n2006-02-17,12:07:00,3774.00,3775.00,3774.00,3775.00,604,0\r\n2006-02-17,12:08:00,3774.00,3774.00,3773.00,3774.00,361,0\r\n2006-02-17,12:09:00,3774.00,3775.00,3773.00,3775.00,749,0\r\n2006-02-17,12:10:00,3775.00,3775.00,3774.00,3774.00,709,0\r\n2006-02-17,12:11:00,3775.00,3777.00,3775.00,3777.00,1176,0\r\n2006-02-17,12:12:00,3776.00,3776.00,3775.00,3776.00,906,0\r\n2006-02-17,12:13:00,3776.00,3777.00,3776.00,3776.00,652,0\r\n2006-02-17,12:14:00,3775.00,3776.00,3775.00,3775.00,1063,0\r\n2006-02-17,12:15:00,3775.00,3776.00,3775.00,3775.00,762,0\r\n2006-02-17,12:16:00,3776.00,3776.00,3774.00,3775.00,558,0\r\n2006-02-17,12:17:00,3776.00,3776.00,3775.00,3775.00,476,0\r\n2006-02-17,12:18:00,3775.00,3776.00,3774.00,3774.00,717,0\r\n2006-02-17,12:19:00,3775.00,3776.00,3775.00,3775.00,1395,0\r\n2006-02-17,12:20:00,3776.00,3776.00,3775.00,3775.00,61,0\r\n2006-02-17,12:21:00,3776.00,3777.00,3776.00,3776.00,300,0\r\n2006-02-17,12:22:00,3776.00,3778.00,3776.00,3778.00,944,0\r\n2006-02-17,12:23:00,3778.00,3778.00,3777.00,3778.00,1430,0\r\n2006-02-17,12:24:00,3777.00,3779.00,3777.00,3778.00,987,0\r\n2006-02-17,12:25:00,3779.00,3781.00,3778.00,3780.00,2924,0\r\n2006-02-17,12:26:00,3780.00,3781.00,3779.00,3780.00,1042,0\r\n2006-02-17,12:27:00,3780.00,3780.00,3778.00,3778.00,1815,0\r\n2006-02-17,12:28:00,3779.00,3779.00,3778.00,3779.00,954,0\r\n2006-02-17,12:29:00,3779.00,3779.00,3778.00,3778.00,1354,0\r\n2006-02-17,12:30:00,3778.00,3779.00,3778.00,3779.00,21,0\r\n2006-02-17,12:31:00,3779.00,3779.00,3778.00,3779.00,567,0\r\n2006-02-17,12:32:00,3779.00,3779.00,3777.00,3778.00,369,0\r\n2006-02-17,12:33:00,3778.00,3778.00,3776.00,3776.00,513,0\r\n2006-02-17,12:34:00,3776.00,3777.00,3776.00,3777.00,243,0\r\n2006-02-17,12:35:00,3777.00,3777.00,3776.00,3777.00,613,0\r\n2006-02-17,12:36:00,3777.00,3777.00,3776.00,3777.00,39,0\r\n2006-02-17,12:37:00,3777.00,3777.00,3776.00,3776.00,20,0\r\n2006-02-17,12:38:00,3776.00,3776.00,3776.00,3776.00,6,0\r\n2006-02-17,12:39:00,3776.00,3776.00,3775.00,3775.00,205,0\r\n2006-02-17,12:40:00,3775.00,3776.00,3775.00,3775.00,974,0\r\n2006-02-17,12:41:00,3775.00,3775.00,3774.00,3774.00,477,0\r\n2006-02-17,12:42:00,3775.00,3775.00,3774.00,3775.00,191,0\r\n2006-02-17,12:43:00,3774.00,3775.00,3774.00,3775.00,1298,0\r\n2006-02-17,12:44:00,3774.00,3775.00,3774.00,3775.00,191,0\r\n2006-02-17,12:45:00,3774.00,3774.00,3774.00,3774.00,151,0\r\n2006-02-17,12:46:00,3775.00,3775.00,3774.00,3774.00,9,0\r\n2006-02-17,12:47:00,3775.00,3775.00,3774.00,3774.00,751,0\r\n2006-02-17,12:48:00,3775.00,3775.00,3774.00,3774.00,79,0\r\n2006-02-17,12:49:00,3775.00,3775.00,3774.00,3775.00,935,0\r\n2006-02-17,12:50:00,3775.00,3776.00,3775.00,3775.00,250,0\r\n2006-02-17,12:51:00,3775.00,3775.00,3775.00,3775.00,318,0\r\n2006-02-17,12:52:00,3775.00,3775.00,3775.00,3775.00,30,0\r\n2006-02-17,12:53:00,3775.00,3776.00,3775.00,3776.00,75,0\r\n2006-02-17,12:54:00,3776.00,3776.00,3776.00,3776.00,251,0\r\n2006-02-17,12:55:00,3775.00,3775.00,3775.00,3775.00,843,0\r\n2006-02-17,12:56:00,3775.00,3776.00,3775.00,3776.00,306,0\r\n2006-02-17,12:57:00,3775.00,3775.00,3775.00,3775.00,526,0\r\n2006-02-17,12:59:00,3776.00,3776.00,3775.00,3776.00,1402,0\r\n2006-02-17,13:00:00,3776.00,3776.00,3775.00,3775.00,748,0\r\n2006-02-17,13:01:00,3775.00,3775.00,3774.00,3775.00,556,0\r\n2006-02-17,13:02:00,3775.00,3776.00,3774.00,3775.00,792,0\r\n2006-02-17,13:03:00,3775.00,3776.00,3775.00,3776.00,401,0\r\n2006-02-17,13:04:00,3776.00,3776.00,3775.00,3776.00,69,0\r\n2006-02-17,13:05:00,3776.00,3776.00,3776.00,3776.00,1194,0\r\n2006-02-17,13:06:00,3776.00,3778.00,3776.00,3777.00,1289,0\r\n2006-02-17,13:07:00,3777.00,3777.00,3775.00,3776.00,617,0\r\n2006-02-17,13:08:00,3776.00,3776.00,3775.00,3775.00,361,0\r\n2006-02-17,13:09:00,3776.00,3776.00,3775.00,3776.00,67,0\r\n2006-02-17,13:10:00,3776.00,3776.00,3775.00,3776.00,881,0\r\n2006-02-17,13:11:00,3775.00,3776.00,3775.00,3775.00,695,0\r\n2006-02-17,13:12:00,3775.00,3777.00,3775.00,3777.00,1111,0\r\n2006-02-17,13:13:00,3776.00,3776.00,3775.00,3775.00,21,0\r\n2006-02-17,13:14:00,3775.00,3775.00,3775.00,3775.00,651,0\r\n2006-02-17,13:15:00,3776.00,3776.00,3776.00,3776.00,1,0\r\n2006-02-17,13:16:00,3775.00,3776.00,3775.00,3776.00,109,0\r\n2006-02-17,13:18:00,3775.00,3776.00,3775.00,3775.00,17,0\r\n2006-02-17,13:19:00,3775.00,3775.00,3775.00,3775.00,70,0\r\n2006-02-17,13:20:00,3776.00,3776.00,3775.00,3775.00,22,0\r\n2006-02-17,13:21:00,3776.00,3776.00,3775.00,3776.00,73,0\r\n2006-02-17,13:22:00,3775.00,3776.00,3775.00,3776.00,47,0\r\n2006-02-17,13:23:00,3776.00,3777.00,3776.00,3776.00,626,0\r\n2006-02-17,13:24:00,3776.00,3777.00,3776.00,3777.00,87,0\r\n2006-02-17,13:26:00,3777.00,3778.00,3777.00,3777.00,416,0\r\n2006-02-17,13:27:00,3777.00,3778.00,3777.00,3778.00,408,0\r\n2006-02-17,13:28:00,3777.00,3777.00,3777.00,3777.00,352,0\r\n2006-02-17,13:29:00,3777.00,3778.00,3777.00,3777.00,262,0\r\n2006-02-17,13:30:00,3777.00,3777.00,3777.00,3777.00,19,0\r\n2006-02-17,13:31:00,3777.00,3778.00,3777.00,3777.00,529,0\r\n2006-02-17,13:32:00,3777.00,3777.00,3777.00,3777.00,105,0\r\n2006-02-17,13:33:00,3777.00,3777.00,3777.00,3777.00,147,0\r\n2006-02-17,13:34:00,3777.00,3778.00,3776.00,3777.00,34,0\r\n2006-02-17,13:35:00,3777.00,3777.00,3777.00,3777.00,19,0\r\n2006-02-17,13:36:00,3777.00,3778.00,3777.00,3777.00,13,0\r\n2006-02-17,13:37:00,3777.00,3777.00,3777.00,3777.00,66,0\r\n2006-02-17,13:38:00,3777.00,3777.00,3776.00,3777.00,500,0\r\n2006-02-17,13:39:00,3777.00,3777.00,3776.00,3777.00,182,0\r\n2006-02-17,13:40:00,3777.00,3777.00,3776.00,3777.00,190,0\r\n2006-02-17,13:41:00,3778.00,3778.00,3777.00,3777.00,216,0\r\n2006-02-17,13:42:00,3777.00,3778.00,3777.00,3777.00,302,0\r\n2006-02-17,13:43:00,3777.00,3777.00,3777.00,3777.00,121,0\r\n2006-02-17,13:44:00,3777.00,3778.00,3777.00,3778.00,466,0\r\n2006-02-17,13:45:00,3778.00,3778.00,3777.00,3777.00,83,0\r\n2006-02-17,13:46:00,3777.00,3779.00,3777.00,3779.00,535,0\r\n2006-02-17,13:47:00,3778.00,3778.00,3778.00,3778.00,231,0\r\n2006-02-17,13:48:00,3778.00,3779.00,3778.00,3779.00,34,0\r\n2006-02-17,13:49:00,3779.00,3779.00,3778.00,3778.00,180,0\r\n2006-02-17,13:50:00,3778.00,3779.00,3778.00,3778.00,655,0\r\n2006-02-17,13:51:00,3778.00,3779.00,3777.00,3778.00,550,0\r\n2006-02-17,13:52:00,3778.00,3779.00,3776.00,3776.00,1415,0\r\n2006-02-17,13:53:00,3777.00,3778.00,3776.00,3778.00,277,0\r\n2006-02-17,13:54:00,3777.00,3778.00,3777.00,3777.00,64,0\r\n2006-02-17,13:55:00,3777.00,3778.00,3776.00,3778.00,525,0\r\n2006-02-17,13:56:00,3777.00,3778.00,3777.00,3777.00,498,0\r\n2006-02-17,13:57:00,3777.00,3777.00,3776.00,3776.00,153,0\r\n2006-02-17,13:58:00,3777.00,3777.00,3776.00,3776.00,65,0\r\n2006-02-17,13:59:00,3776.00,3777.00,3776.00,3776.00,144,0\r\n2006-02-17,14:00:00,3776.00,3777.00,3776.00,3776.00,65,0\r\n2006-02-17,14:01:00,3777.00,3777.00,3776.00,3777.00,244,0\r\n2006-02-17,14:02:00,3776.00,3777.00,3776.00,3776.00,3,0\r\n2006-02-17,14:03:00,3777.00,3777.00,3777.00,3777.00,6,0\r\n2006-02-17,14:04:00,3776.00,3776.00,3776.00,3776.00,666,0\r\n2006-02-17,14:05:00,3776.00,3777.00,3776.00,3777.00,256,0\r\n2006-02-17,14:06:00,3776.00,3776.00,3776.00,3776.00,54,0\r\n2006-02-17,14:07:00,3777.00,3777.00,3777.00,3777.00,86,0\r\n2006-02-17,14:08:00,3777.00,3778.00,3777.00,3777.00,371,0\r\n2006-02-17,14:09:00,3777.00,3777.00,3777.00,3777.00,172,0\r\n2006-02-17,14:10:00,3777.00,3777.00,3776.00,3777.00,36,0\r\n2006-02-17,14:11:00,3776.00,3776.00,3776.00,3776.00,2,0\r\n2006-02-17,14:12:00,3777.00,3777.00,3776.00,3776.00,429,0\r\n2006-02-17,14:13:00,3776.00,3777.00,3776.00,3777.00,31,0\r\n2006-02-17,14:14:00,3776.00,3776.00,3775.00,3776.00,426,0\r\n2006-02-17,14:15:00,3776.00,3776.00,3775.00,3775.00,507,0\r\n2006-02-17,14:16:00,3774.00,3775.00,3774.00,3775.00,156,0\r\n2006-02-17,14:17:00,3775.00,3775.00,3775.00,3775.00,156,0\r\n2006-02-17,14:18:00,3776.00,3777.00,3776.00,3777.00,671,0\r\n2006-02-17,14:19:00,3776.00,3777.00,3776.00,3777.00,359,0\r\n2006-02-17,14:20:00,3777.00,3778.00,3777.00,3778.00,416,0\r\n2006-02-17,14:21:00,3778.00,3778.00,3777.00,3777.00,1040,0\r\n2006-02-17,14:22:00,3777.00,3778.00,3777.00,3778.00,762,0\r\n2006-02-17,14:23:00,3778.00,3778.00,3777.00,3778.00,42,0\r\n2006-02-17,14:24:00,3778.00,3778.00,3777.00,3777.00,323,0\r\n2006-02-17,14:25:00,3777.00,3777.00,3776.00,3776.00,205,0\r\n2006-02-17,14:26:00,3776.00,3776.00,3776.00,3776.00,33,0\r\n2006-02-17,14:27:00,3776.00,3776.00,3775.00,3775.00,1075,0\r\n2006-02-17,14:28:00,3776.00,3776.00,3775.00,3776.00,369,0\r\n2006-02-17,14:29:00,3775.00,3776.00,3775.00,3775.00,119,0\r\n2006-02-17,14:30:00,3775.00,3776.00,3775.00,3776.00,72,0\r\n2006-02-17,14:31:00,3775.00,3776.00,3772.00,3774.00,6209,0\r\n2006-02-17,14:32:00,3774.00,3775.00,3774.00,3775.00,1486,0\r\n2006-02-17,14:33:00,3775.00,3775.00,3774.00,3775.00,1236,0\r\n2006-02-17,14:34:00,3775.00,3777.00,3775.00,3775.00,666,0\r\n2006-02-17,14:35:00,3775.00,3775.00,3774.00,3774.00,864,0\r\n2006-02-17,14:36:00,3774.00,3776.00,3774.00,3776.00,457,0\r\n2006-02-17,14:37:00,3776.00,3776.00,3775.00,3775.00,337,0\r\n2006-02-17,14:38:00,3776.00,3777.00,3776.00,3777.00,686,0\r\n2006-02-17,14:39:00,3776.00,3777.00,3776.00,3776.00,216,0\r\n2006-02-17,14:40:00,3777.00,3777.00,3776.00,3776.00,564,0\r\n2006-02-17,14:41:00,3776.00,3776.00,3775.00,3776.00,483,0\r\n2006-02-17,14:42:00,3775.00,3776.00,3775.00,3776.00,288,0\r\n2006-02-17,14:43:00,3775.00,3775.00,3775.00,3775.00,1,0\r\n2006-02-17,14:44:00,3776.00,3776.00,3775.00,3775.00,83,0\r\n2006-02-17,14:45:00,3776.00,3776.00,3775.00,3775.00,127,0\r\n2006-02-17,14:46:00,3775.00,3776.00,3774.00,3774.00,354,0\r\n2006-02-17,14:47:00,3774.00,3776.00,3774.00,3776.00,555,0\r\n2006-02-17,14:48:00,3775.00,3776.00,3775.00,3775.00,159,0\r\n2006-02-17,14:49:00,3775.00,3776.00,3775.00,3776.00,259,0\r\n2006-02-17,14:50:00,3776.00,3776.00,3775.00,3775.00,357,0\r\n2006-02-17,14:51:00,3775.00,3776.00,3775.00,3776.00,172,0\r\n2006-02-17,14:52:00,3775.00,3775.00,3773.00,3774.00,1560,0\r\n2006-02-17,14:53:00,3773.00,3774.00,3773.00,3774.00,80,0\r\n2006-02-17,14:54:00,3773.00,3775.00,3773.00,3775.00,451,0\r\n2006-02-17,14:55:00,3774.00,3775.00,3774.00,3774.00,202,0\r\n2006-02-17,14:56:00,3774.00,3775.00,3774.00,3775.00,140,0\r\n2006-02-17,14:57:00,3775.00,3775.00,3775.00,3775.00,34,0\r\n2006-02-17,14:58:00,3775.00,3776.00,3774.00,3776.00,473,0\r\n2006-02-17,14:59:00,3776.00,3777.00,3775.00,3777.00,760,0\r\n2006-02-17,15:00:00,3777.00,3778.00,3777.00,3778.00,3083,0\r\n2006-02-17,15:01:00,3777.00,3778.00,3777.00,3777.00,738,0\r\n2006-02-17,15:02:00,3777.00,3778.00,3776.00,3776.00,225,0\r\n2006-02-17,15:03:00,3776.00,3776.00,3776.00,3776.00,24,0\r\n2006-02-17,15:04:00,3776.00,3777.00,3776.00,3776.00,77,0\r\n2006-02-17,15:05:00,3777.00,3777.00,3776.00,3777.00,706,0\r\n2006-02-17,15:06:00,3777.00,3777.00,3777.00,3777.00,744,0\r\n2006-02-17,15:07:00,3777.00,3778.00,3777.00,3777.00,400,0\r\n2006-02-17,15:08:00,3777.00,3777.00,3776.00,3777.00,142,0\r\n2006-02-17,15:09:00,3777.00,3777.00,3776.00,3776.00,136,0\r\n2006-02-17,15:10:00,3777.00,3777.00,3777.00,3777.00,8,0\r\n2006-02-17,15:11:00,3777.00,3777.00,3776.00,3777.00,71,0\r\n2006-02-17,15:12:00,3777.00,3778.00,3777.00,3777.00,155,0\r\n2006-02-17,15:13:00,3778.00,3778.00,3777.00,3777.00,534,0\r\n2006-02-17,15:14:00,3777.00,3777.00,3776.00,3776.00,347,0\r\n2006-02-17,15:15:00,3776.00,3776.00,3776.00,3776.00,77,0\r\n2006-02-17,15:16:00,3776.00,3776.00,3775.00,3775.00,430,0\r\n2006-02-17,15:17:00,3775.00,3776.00,3775.00,3775.00,91,0\r\n2006-02-17,15:18:00,3775.00,3776.00,3775.00,3776.00,477,0\r\n2006-02-17,15:19:00,3777.00,3777.00,3776.00,3776.00,101,0\r\n2006-02-17,15:20:00,3777.00,3777.00,3776.00,3777.00,4,0\r\n2006-02-17,15:21:00,3776.00,3776.00,3776.00,3776.00,11,0\r\n2006-02-17,15:22:00,3776.00,3777.00,3776.00,3777.00,82,0\r\n2006-02-17,15:23:00,3777.00,3777.00,3776.00,3777.00,355,0\r\n2006-02-17,15:24:00,3778.00,3778.00,3777.00,3778.00,120,0\r\n2006-02-17,15:25:00,3777.00,3777.00,3777.00,3777.00,314,0\r\n2006-02-17,15:26:00,3777.00,3777.00,3776.00,3776.00,122,0\r\n2006-02-17,15:27:00,3777.00,3777.00,3777.00,3777.00,319,0\r\n2006-02-17,15:28:00,3777.00,3777.00,3776.00,3777.00,436,0\r\n2006-02-17,15:29:00,3777.00,3778.00,3777.00,3778.00,756,0\r\n2006-02-17,15:30:00,3778.00,3779.00,3777.00,3778.00,399,0\r\n2006-02-17,15:31:00,3778.00,3778.00,3777.00,3777.00,406,0\r\n2006-02-17,15:32:00,3777.00,3778.00,3776.00,3778.00,856,0\r\n2006-02-17,15:33:00,3777.00,3778.00,3776.00,3776.00,825,0\r\n2006-02-17,15:34:00,3777.00,3777.00,3773.00,3773.00,1787,0\r\n2006-02-17,15:35:00,3773.00,3774.00,3773.00,3774.00,764,0\r\n2006-02-17,15:36:00,3774.00,3775.00,3773.00,3773.00,724,0\r\n2006-02-17,15:37:00,3774.00,3775.00,3773.00,3775.00,1142,0\r\n2006-02-17,15:38:00,3774.00,3775.00,3774.00,3774.00,464,0\r\n2006-02-17,15:39:00,3774.00,3774.00,3773.00,3774.00,147,0\r\n2006-02-17,15:40:00,3774.00,3774.00,3773.00,3773.00,627,0\r\n2006-02-17,15:41:00,3773.00,3776.00,3773.00,3775.00,787,0\r\n2006-02-17,15:42:00,3776.00,3777.00,3775.00,3776.00,415,0\r\n2006-02-17,15:43:00,3777.00,3777.00,3776.00,3777.00,324,0\r\n2006-02-17,15:44:00,3776.00,3778.00,3776.00,3776.00,541,0\r\n2006-02-17,15:45:00,3776.00,3777.00,3776.00,3776.00,517,0\r\n2006-02-17,15:46:00,3777.00,3778.00,3776.00,3777.00,308,0\r\n2006-02-17,15:47:00,3777.00,3778.00,3773.00,3773.00,3703,0\r\n2006-02-17,15:48:00,3774.00,3774.00,3771.00,3772.00,4676,0\r\n2006-02-17,15:49:00,3773.00,3773.00,3771.00,3773.00,2597,0\r\n2006-02-17,15:50:00,3773.00,3774.00,3772.00,3774.00,1714,0\r\n2006-02-17,15:51:00,3773.00,3774.00,3772.00,3773.00,1639,0\r\n2006-02-17,15:52:00,3773.00,3773.00,3772.00,3773.00,847,0\r\n2006-02-17,15:53:00,3773.00,3775.00,3773.00,3773.00,964,0\r\n2006-02-17,15:54:00,3773.00,3774.00,3770.00,3771.00,2909,0\r\n2006-02-17,15:55:00,3771.00,3771.00,3769.00,3770.00,2468,0\r\n2006-02-17,15:56:00,3769.00,3771.00,3768.00,3769.00,1484,0\r\n2006-02-17,15:57:00,3768.00,3769.00,3767.00,3767.00,1971,0\r\n2006-02-17,15:58:00,3767.00,3771.00,3767.00,3770.00,3277,0\r\n2006-02-17,15:59:00,3770.00,3772.00,3770.00,3771.00,1618,0\r\n2006-02-17,16:00:00,3770.00,3772.00,3770.00,3772.00,1948,0\r\n2006-02-17,16:01:00,3772.00,3773.00,3771.00,3773.00,1513,0\r\n2006-02-17,16:02:00,3773.00,3773.00,3771.00,3771.00,659,0\r\n2006-02-17,16:03:00,3771.00,3771.00,3770.00,3771.00,920,0\r\n2006-02-17,16:04:00,3771.00,3773.00,3770.00,3772.00,587,0\r\n2006-02-17,16:05:00,3773.00,3773.00,3771.00,3772.00,385,0\r\n2006-02-17,16:06:00,3772.00,3773.00,3771.00,3771.00,551,0\r\n2006-02-17,16:07:00,3772.00,3772.00,3768.00,3770.00,1774,0\r\n2006-02-17,16:08:00,3770.00,3770.00,3768.00,3769.00,2549,0\r\n2006-02-17,16:09:00,3769.00,3770.00,3767.00,3767.00,2221,0\r\n2006-02-17,16:10:00,3768.00,3768.00,3766.00,3767.00,2062,0\r\n2006-02-17,16:11:00,3767.00,3768.00,3764.00,3765.00,3447,0\r\n2006-02-17,16:12:00,3765.00,3765.00,3763.00,3765.00,2793,0\r\n2006-02-17,16:13:00,3765.00,3766.00,3763.00,3764.00,3153,0\r\n2006-02-17,16:14:00,3763.00,3766.00,3763.00,3765.00,1273,0\r\n2006-02-17,16:15:00,3764.00,3766.00,3764.00,3765.00,1039,0\r\n2006-02-17,16:16:00,3765.00,3767.00,3764.00,3765.00,1108,0\r\n2006-02-17,16:17:00,3765.00,3767.00,3765.00,3767.00,1124,0\r\n2006-02-17,16:18:00,3767.00,3770.00,3767.00,3769.00,2604,0\r\n2006-02-17,16:19:00,3768.00,3769.00,3768.00,3768.00,1288,0\r\n2006-02-17,16:20:00,3769.00,3769.00,3766.00,3766.00,1008,0\r\n2006-02-17,16:21:00,3766.00,3767.00,3765.00,3766.00,1326,0\r\n2006-02-17,16:22:00,3765.00,3766.00,3764.00,3765.00,1567,0\r\n2006-02-17,16:23:00,3765.00,3765.00,3763.00,3765.00,1863,0\r\n2006-02-17,16:24:00,3765.00,3765.00,3762.00,3764.00,1385,0\r\n2006-02-17,16:25:00,3765.00,3766.00,3764.00,3765.00,653,0\r\n2006-02-17,16:26:00,3766.00,3767.00,3765.00,3766.00,521,0\r\n2006-02-17,16:27:00,3765.00,3766.00,3764.00,3764.00,670,0\r\n2006-02-17,16:28:00,3764.00,3767.00,3764.00,3766.00,824,0\r\n2006-02-17,16:29:00,3767.00,3767.00,3764.00,3764.00,2116,0\r\n2006-02-17,16:30:00,3764.00,3765.00,3764.00,3765.00,531,0\r\n2006-02-17,16:31:00,3766.00,3767.00,3765.00,3766.00,1046,0\r\n2006-02-17,16:32:00,3765.00,3767.00,3765.00,3767.00,865,0\r\n2006-02-17,16:33:00,3767.00,3768.00,3766.00,3768.00,1096,0\r\n2006-02-17,16:34:00,3768.00,3773.00,3768.00,3772.00,4078,0\r\n2006-02-17,16:35:00,3772.00,3773.00,3770.00,3771.00,1639,0\r\n2006-02-17,16:36:00,3770.00,3771.00,3770.00,3770.00,749,0\r\n2006-02-17,16:37:00,3770.00,3771.00,3770.00,3770.00,737,0\r\n2006-02-17,16:38:00,3771.00,3771.00,3770.00,3770.00,306,0\r\n2006-02-17,16:39:00,3770.00,3771.00,3769.00,3770.00,1626,0\r\n2006-02-17,16:40:00,3771.00,3771.00,3768.00,3769.00,1215,0\r\n2006-02-17,16:41:00,3769.00,3769.00,3768.00,3769.00,234,0\r\n2006-02-17,16:42:00,3770.00,3770.00,3769.00,3769.00,187,0\r\n2006-02-17,16:43:00,3769.00,3770.00,3769.00,3770.00,389,0\r\n2006-02-17,16:44:00,3770.00,3770.00,3769.00,3770.00,476,0\r\n2006-02-17,16:45:00,3770.00,3771.00,3770.00,3770.00,123,0\r\n2006-02-17,16:46:00,3770.00,3771.00,3770.00,3771.00,357,0\r\n2006-02-17,16:47:00,3770.00,3770.00,3769.00,3770.00,829,0\r\n2006-02-17,16:48:00,3769.00,3770.00,3769.00,3769.00,14,0\r\n2006-02-17,16:49:00,3769.00,3771.00,3769.00,3770.00,750,0\r\n2006-02-17,16:50:00,3769.00,3774.00,3769.00,3773.00,1156,0\r\n2006-02-17,16:51:00,3773.00,3775.00,3772.00,3774.00,2288,0\r\n2006-02-17,16:52:00,3774.00,3776.00,3774.00,3774.00,1551,0\r\n2006-02-17,16:53:00,3774.00,3775.00,3774.00,3774.00,285,0\r\n2006-02-17,16:54:00,3774.00,3774.00,3773.00,3773.00,1109,0\r\n2006-02-17,16:55:00,3773.00,3774.00,3771.00,3771.00,1496,0\r\n2006-02-17,16:56:00,3772.00,3772.00,3771.00,3772.00,118,0\r\n2006-02-17,16:57:00,3772.00,3772.00,3771.00,3771.00,131,0\r\n2006-02-17,16:58:00,3772.00,3773.00,3771.00,3772.00,504,0\r\n2006-02-17,16:59:00,3772.00,3772.00,3770.00,3771.00,2320,0\r\n2006-02-17,17:00:00,3771.00,3772.00,3770.00,3770.00,1089,0\r\n2006-02-17,17:01:00,3770.00,3771.00,3770.00,3770.00,178,0\r\n2006-02-17,17:02:00,3770.00,3770.00,3768.00,3768.00,1984,0\r\n2006-02-17,17:03:00,3768.00,3768.00,3766.00,3767.00,2018,0\r\n2006-02-17,17:04:00,3767.00,3768.00,3765.00,3767.00,1451,0\r\n2006-02-17,17:05:00,3767.00,3768.00,3766.00,3767.00,1592,0\r\n2006-02-17,17:06:00,3768.00,3768.00,3767.00,3768.00,1180,0\r\n2006-02-17,17:07:00,3768.00,3769.00,3768.00,3769.00,1138,0\r\n2006-02-17,17:08:00,3769.00,3770.00,3768.00,3768.00,758,0\r\n2006-02-17,17:09:00,3768.00,3768.00,3767.00,3768.00,667,0\r\n2006-02-17,17:10:00,3768.00,3770.00,3768.00,3768.00,1067,0\r\n2006-02-17,17:11:00,3769.00,3770.00,3768.00,3769.00,1093,0\r\n2006-02-17,17:12:00,3770.00,3770.00,3769.00,3770.00,506,0\r\n2006-02-17,17:13:00,3769.00,3773.00,3769.00,3772.00,1919,0\r\n2006-02-17,17:14:00,3772.00,3773.00,3771.00,3772.00,513,0\r\n2006-02-17,17:15:00,3772.00,3774.00,3771.00,3774.00,1757,0\r\n2006-02-17,17:16:00,3774.00,3776.00,3773.00,3775.00,2685,0\r\n2006-02-17,17:17:00,3776.00,3778.00,3775.00,3776.00,3059,0\r\n2006-02-17,17:18:00,3776.00,3777.00,3775.00,3775.00,1526,0\r\n2006-02-17,17:19:00,3775.00,3776.00,3774.00,3774.00,1560,0\r\n2006-02-17,17:20:00,3774.00,3775.00,3774.00,3774.00,1294,0\r\n2006-02-17,17:21:00,3774.00,3775.00,3773.00,3774.00,1297,0\r\n2006-02-17,17:22:00,3774.00,3774.00,3773.00,3773.00,480,0\r\n2006-02-17,17:23:00,3774.00,3775.00,3773.00,3774.00,1225,0\r\n2006-02-17,17:24:00,3774.00,3774.00,3772.00,3773.00,1384,0\r\n2006-02-17,17:25:00,3772.00,3772.00,3771.00,3772.00,1953,0\r\n2006-02-17,17:26:00,3771.00,3772.00,3770.00,3772.00,1584,0\r\n2006-02-17,17:27:00,3771.00,3772.00,3770.00,3771.00,658,0\r\n2006-02-17,17:28:00,3771.00,3771.00,3770.00,3771.00,1366,0\r\n2006-02-17,17:29:00,3771.00,3772.00,3770.00,3771.00,1618,0\r\n2006-02-17,17:30:00,3770.00,3772.00,3770.00,3772.00,2437,0\r\n2006-02-17,17:31:00,3772.00,3775.00,3771.00,3775.00,3056,0\r\n2006-02-17,17:32:00,3775.00,3775.00,3773.00,3773.00,650,0\r\n2006-02-17,17:33:00,3773.00,3774.00,3773.00,3773.00,1283,0\r\n2006-02-17,17:34:00,3773.00,3774.00,3773.00,3773.00,581,0\r\n2006-02-17,17:35:00,3773.00,3774.00,3771.00,3772.00,1912,0\r\n2006-02-17,17:36:00,3772.00,3773.00,3772.00,3773.00,2308,0\r\n2006-02-17,17:37:00,3773.00,3773.00,3772.00,3772.00,1461,0\r\n2006-02-17,17:38:00,3772.00,3772.00,3771.00,3772.00,436,0\r\n2006-02-17,17:39:00,3772.00,3773.00,3772.00,3773.00,1030,0\r\n2006-02-17,17:40:00,3773.00,3773.00,3773.00,3773.00,406,0\r\n2006-02-17,17:41:00,3772.00,3773.00,3772.00,3773.00,389,0\r\n2006-02-17,17:42:00,3773.00,3773.00,3772.00,3772.00,86,0\r\n2006-02-17,17:43:00,3773.00,3773.00,3772.00,3772.00,416,0\r\n2006-02-17,17:44:00,3772.00,3773.00,3772.00,3773.00,141,0\r\n2006-02-17,17:45:00,3773.00,3773.00,3772.00,3773.00,61,0\r\n2006-02-17,17:46:00,3773.00,3773.00,3772.00,3773.00,285,0\r\n2006-02-17,17:47:00,3772.00,3773.00,3772.00,3773.00,383,0\r\n2006-02-17,17:48:00,3772.00,3773.00,3772.00,3772.00,148,0\r\n2006-02-17,17:49:00,3773.00,3774.00,3773.00,3774.00,472,0\r\n2006-02-17,17:50:00,3773.00,3775.00,3773.00,3774.00,1540,0\r\n2006-02-17,17:51:00,3773.00,3775.00,3773.00,3774.00,1720,0\r\n2006-02-17,17:52:00,3774.00,3775.00,3774.00,3774.00,569,0\r\n2006-02-17,17:53:00,3775.00,3776.00,3775.00,3776.00,740,0\r\n2006-02-17,17:54:00,3776.00,3776.00,3775.00,3775.00,112,0\r\n2006-02-17,17:55:00,3775.00,3776.00,3775.00,3775.00,434,0\r\n2006-02-17,17:56:00,3775.00,3776.00,3775.00,3775.00,209,0\r\n2006-02-17,17:57:00,3775.00,3775.00,3775.00,3775.00,108,0\r\n2006-02-17,17:58:00,3775.00,3776.00,3774.00,3775.00,558,0\r\n2006-02-17,17:59:00,3775.00,3775.00,3774.00,3774.00,121,0\r\n2006-02-17,18:00:00,3774.00,3775.00,3774.00,3775.00,140,0\r\n2006-02-17,18:01:00,3775.00,3775.00,3775.00,3775.00,248,0\r\n2006-02-17,18:02:00,3775.00,3775.00,3775.00,3775.00,53,0\r\n2006-02-17,18:03:00,3775.00,3776.00,3775.00,3775.00,329,0\r\n2006-02-17,18:04:00,3775.00,3775.00,3775.00,3775.00,179,0\r\n2006-02-17,18:05:00,3775.00,3776.00,3775.00,3776.00,705,0\r\n2006-02-17,18:06:00,3776.00,3776.00,3776.00,3776.00,26,0\r\n2006-02-17,18:07:00,3775.00,3775.00,3775.00,3775.00,180,0\r\n2006-02-17,18:08:00,3775.00,3776.00,3774.00,3776.00,182,0\r\n2006-02-17,18:09:00,3776.00,3776.00,3774.00,3775.00,193,0\r\n2006-02-17,18:10:00,3776.00,3776.00,3775.00,3776.00,291,0\r\n2006-02-17,18:11:00,3776.00,3780.00,3776.00,3779.00,2369,0\r\n2006-02-17,18:12:00,3780.00,3780.00,3779.00,3780.00,506,0\r\n2006-02-17,18:13:00,3779.00,3780.00,3777.00,3777.00,663,0\r\n2006-02-17,18:14:00,3777.00,3778.00,3777.00,3778.00,556,0\r\n2006-02-17,18:15:00,3777.00,3778.00,3777.00,3778.00,130,0\r\n2006-02-17,18:16:00,3778.00,3780.00,3778.00,3779.00,354,0\r\n2006-02-17,18:17:00,3779.00,3779.00,3778.00,3778.00,354,0\r\n2006-02-17,18:18:00,3779.00,3779.00,3778.00,3779.00,411,0\r\n2006-02-17,18:19:00,3779.00,3779.00,3779.00,3779.00,203,0\r\n2006-02-17,18:20:00,3779.00,3779.00,3778.00,3779.00,264,0\r\n2006-02-17,18:21:00,3779.00,3779.00,3778.00,3779.00,110,0\r\n2006-02-17,18:22:00,3778.00,3779.00,3778.00,3778.00,267,0\r\n2006-02-17,18:23:00,3778.00,3778.00,3778.00,3778.00,82,0\r\n2006-02-17,18:24:00,3778.00,3779.00,3778.00,3778.00,162,0\r\n2006-02-17,18:25:00,3779.00,3780.00,3779.00,3780.00,462,0\r\n2006-02-17,18:26:00,3780.00,3781.00,3779.00,3779.00,1044,0\r\n2006-02-17,18:27:00,3779.00,3779.00,3778.00,3778.00,52,0\r\n2006-02-17,18:28:00,3778.00,3779.00,3778.00,3778.00,160,0\r\n2006-02-17,18:29:00,3778.00,3778.00,3778.00,3778.00,20,0\r\n2006-02-17,18:30:00,3778.00,3778.00,3776.00,3776.00,737,0\r\n2006-02-17,18:31:00,3776.00,3777.00,3776.00,3776.00,344,0\r\n2006-02-17,18:32:00,3776.00,3777.00,3776.00,3776.00,135,0\r\n2006-02-17,18:33:00,3776.00,3776.00,3775.00,3775.00,198,0\r\n2006-02-17,18:34:00,3775.00,3776.00,3775.00,3776.00,115,0\r\n2006-02-17,18:35:00,3777.00,3777.00,3776.00,3776.00,108,0\r\n2006-02-17,18:36:00,3776.00,3776.00,3774.00,3774.00,336,0\r\n2006-02-17,18:37:00,3775.00,3775.00,3774.00,3775.00,481,0\r\n2006-02-17,18:38:00,3774.00,3774.00,3774.00,3774.00,9,0\r\n2006-02-17,18:39:00,3774.00,3774.00,3774.00,3774.00,110,0\r\n2006-02-17,18:40:00,3774.00,3774.00,3774.00,3774.00,261,0\r\n2006-02-17,18:41:00,3774.00,3774.00,3774.00,3774.00,41,0\r\n2006-02-17,18:42:00,3774.00,3774.00,3774.00,3774.00,20,0\r\n2006-02-17,18:43:00,3774.00,3775.00,3774.00,3775.00,376,0\r\n2006-02-17,18:44:00,3775.00,3776.00,3773.00,3774.00,441,0\r\n2006-02-17,18:45:00,3774.00,3775.00,3774.00,3775.00,72,0\r\n2006-02-17,18:47:00,3775.00,3775.00,3774.00,3775.00,45,0\r\n2006-02-17,18:48:00,3774.00,3775.00,3774.00,3775.00,192,0\r\n2006-02-17,18:49:00,3775.00,3776.00,3775.00,3776.00,105,0\r\n2006-02-17,18:50:00,3776.00,3777.00,3776.00,3777.00,129,0\r\n2006-02-17,18:51:00,3776.00,3776.00,3775.00,3776.00,184,0\r\n2006-02-17,18:52:00,3776.00,3776.00,3774.00,3775.00,328,0\r\n2006-02-17,18:53:00,3775.00,3775.00,3775.00,3775.00,9,0\r\n2006-02-17,18:54:00,3774.00,3774.00,3774.00,3774.00,97,0\r\n2006-02-17,18:55:00,3774.00,3774.00,3774.00,3774.00,201,0\r\n2006-02-17,18:56:00,3774.00,3774.00,3774.00,3774.00,381,0\r\n2006-02-17,18:57:00,3774.00,3775.00,3774.00,3775.00,177,0\r\n2006-02-17,18:58:00,3775.00,3777.00,3775.00,3777.00,260,0\r\n2006-02-17,18:59:00,3776.00,3778.00,3776.00,3777.00,118,0\r\n2006-02-17,19:00:00,3777.00,3778.00,3777.00,3778.00,36,0\r\n2006-02-17,19:01:00,3778.00,3779.00,3778.00,3779.00,222,0\r\n2006-02-17,19:02:00,3779.00,3779.00,3778.00,3779.00,74,0\r\n2006-02-17,19:03:00,3779.00,3779.00,3779.00,3779.00,85,0\r\n2006-02-17,19:04:00,3779.00,3779.00,3779.00,3779.00,115,0\r\n2006-02-17,19:05:00,3779.00,3779.00,3779.00,3779.00,22,0\r\n2006-02-17,19:06:00,3779.00,3781.00,3779.00,3780.00,582,0\r\n2006-02-17,19:07:00,3779.00,3779.00,3779.00,3779.00,21,0\r\n2006-02-17,19:08:00,3779.00,3779.00,3779.00,3779.00,7,0\r\n2006-02-17,19:09:00,3779.00,3780.00,3779.00,3780.00,399,0\r\n2006-02-17,19:10:00,3780.00,3780.00,3779.00,3780.00,189,0\r\n2006-02-17,19:11:00,3779.00,3779.00,3779.00,3779.00,12,0\r\n2006-02-17,19:12:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-17,19:13:00,3779.00,3781.00,3779.00,3781.00,525,0\r\n2006-02-17,19:14:00,3780.00,3780.00,3780.00,3780.00,21,0\r\n2006-02-17,19:15:00,3780.00,3780.00,3780.00,3780.00,33,0\r\n2006-02-17,19:16:00,3781.00,3781.00,3781.00,3781.00,297,0\r\n2006-02-17,19:17:00,3780.00,3781.00,3780.00,3781.00,398,0\r\n2006-02-17,19:18:00,3780.00,3780.00,3780.00,3780.00,5,0\r\n2006-02-17,19:19:00,3781.00,3781.00,3780.00,3780.00,87,0\r\n2006-02-17,19:20:00,3779.00,3779.00,3779.00,3779.00,5,0\r\n2006-02-17,19:21:00,3779.00,3779.00,3779.00,3779.00,41,0\r\n2006-02-17,19:22:00,3778.00,3778.00,3777.00,3777.00,95,0\r\n2006-02-17,19:23:00,3777.00,3777.00,3777.00,3777.00,134,0\r\n2006-02-17,19:24:00,3778.00,3778.00,3778.00,3778.00,168,0\r\n2006-02-17,19:25:00,3778.00,3779.00,3778.00,3779.00,49,0\r\n2006-02-17,19:27:00,3778.00,3778.00,3778.00,3778.00,73,0\r\n2006-02-17,19:28:00,3778.00,3778.00,3777.00,3778.00,61,0\r\n2006-02-17,19:29:00,3777.00,3778.00,3777.00,3778.00,43,0\r\n2006-02-17,19:31:00,3777.00,3777.00,3777.00,3777.00,53,0\r\n2006-02-17,19:32:00,3776.00,3776.00,3776.00,3776.00,36,0\r\n2006-02-17,19:33:00,3777.00,3777.00,3777.00,3777.00,36,0\r\n2006-02-17,19:34:00,3776.00,3777.00,3776.00,3777.00,55,0\r\n2006-02-17,19:35:00,3777.00,3777.00,3776.00,3776.00,167,0\r\n2006-02-17,19:36:00,3776.00,3777.00,3776.00,3777.00,81,0\r\n2006-02-17,19:37:00,3776.00,3776.00,3776.00,3776.00,25,0\r\n2006-02-17,19:39:00,3777.00,3777.00,3777.00,3777.00,50,0\r\n2006-02-17,19:40:00,3778.00,3779.00,3778.00,3779.00,168,0\r\n2006-02-17,19:41:00,3779.00,3780.00,3779.00,3779.00,60,0\r\n2006-02-17,19:42:00,3780.00,3781.00,3780.00,3781.00,109,0\r\n2006-02-17,19:43:00,3780.00,3780.00,3780.00,3780.00,168,0\r\n2006-02-17,19:44:00,3779.00,3779.00,3779.00,3779.00,3,0\r\n2006-02-17,19:45:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-17,19:46:00,3779.00,3780.00,3779.00,3780.00,27,0\r\n2006-02-17,19:47:00,3779.00,3780.00,3779.00,3779.00,48,0\r\n2006-02-17,19:48:00,3780.00,3780.00,3780.00,3780.00,20,0\r\n2006-02-17,19:49:00,3780.00,3780.00,3780.00,3780.00,16,0\r\n2006-02-17,19:50:00,3780.00,3780.00,3780.00,3780.00,1,0\r\n2006-02-17,19:52:00,3781.00,3782.00,3781.00,3781.00,227,0\r\n2006-02-17,19:53:00,3781.00,3781.00,3781.00,3781.00,116,0\r\n2006-02-17,19:54:00,3780.00,3780.00,3779.00,3780.00,175,0\r\n2006-02-17,19:55:00,3780.00,3780.00,3779.00,3780.00,325,0\r\n2006-02-17,19:56:00,3780.00,3780.00,3778.00,3779.00,140,0\r\n2006-02-17,19:57:00,3779.00,3779.00,3779.00,3779.00,22,0\r\n2006-02-17,19:58:00,3779.00,3780.00,3779.00,3779.00,42,0\r\n2006-02-17,19:59:00,3779.00,3779.00,3779.00,3779.00,19,0\r\n2006-02-17,20:00:00,3779.00,3779.00,3779.00,3779.00,11,0\r\n2006-02-17,20:02:00,3779.00,3779.00,3779.00,3779.00,15,0\r\n2006-02-17,20:03:00,3779.00,3779.00,3779.00,3779.00,15,0\r\n2006-02-17,20:05:00,3779.00,3779.00,3779.00,3779.00,20,0\r\n2006-02-17,20:06:00,3779.00,3780.00,3779.00,3780.00,6,0\r\n2006-02-17,20:07:00,3779.00,3780.00,3779.00,3779.00,41,0\r\n2006-02-17,20:08:00,3779.00,3779.00,3779.00,3779.00,12,0\r\n2006-02-17,20:11:00,3779.00,3779.00,3778.00,3779.00,115,0\r\n2006-02-17,20:16:00,3779.00,3779.00,3779.00,3779.00,3,0\r\n2006-02-17,20:17:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-17,20:18:00,3779.00,3779.00,3778.00,3778.00,50,0\r\n2006-02-17,20:19:00,3777.00,3777.00,3777.00,3777.00,3,0\r\n2006-02-17,20:20:00,3777.00,3777.00,3777.00,3777.00,8,0\r\n2006-02-17,20:21:00,3777.00,3777.00,3777.00,3777.00,25,0\r\n2006-02-17,20:22:00,3777.00,3777.00,3777.00,3777.00,7,0\r\n2006-02-17,20:23:00,3777.00,3777.00,3777.00,3777.00,10,0\r\n2006-02-17,20:24:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-17,20:25:00,3777.00,3778.00,3777.00,3778.00,61,0\r\n2006-02-17,20:26:00,3778.00,3778.00,3777.00,3777.00,11,0\r\n2006-02-17,20:27:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-17,20:28:00,3778.00,3778.00,3778.00,3778.00,6,0\r\n2006-02-17,20:29:00,3779.00,3779.00,3779.00,3779.00,7,0\r\n2006-02-17,20:30:00,3780.00,3780.00,3779.00,3779.00,16,0\r\n2006-02-17,20:31:00,3779.00,3779.00,3779.00,3779.00,20,0\r\n2006-02-17,20:32:00,3779.00,3779.00,3779.00,3779.00,8,0\r\n2006-02-17,20:33:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-17,20:36:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-17,20:37:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-17,20:40:00,3779.00,3779.00,3779.00,3779.00,30,0\r\n2006-02-17,20:41:00,3778.00,3778.00,3778.00,3778.00,36,0\r\n2006-02-17,20:42:00,3778.00,3780.00,3778.00,3779.00,44,0\r\n2006-02-17,20:44:00,3779.00,3780.00,3779.00,3780.00,127,0\r\n2006-02-17,20:46:00,3780.00,3780.00,3780.00,3780.00,13,0\r\n2006-02-17,20:51:00,3780.00,3780.00,3780.00,3780.00,8,0\r\n2006-02-17,20:53:00,3780.00,3780.00,3780.00,3780.00,58,0\r\n2006-02-17,20:55:00,3780.00,3780.00,3779.00,3779.00,53,0\r\n2006-02-17,20:56:00,3780.00,3781.00,3780.00,3781.00,14,0\r\n2006-02-17,20:57:00,3780.00,3780.00,3780.00,3780.00,10,0\r\n2006-02-17,20:58:00,3780.00,3780.00,3780.00,3780.00,51,0\r\n2006-02-17,20:59:00,3781.00,3781.00,3780.00,3780.00,5,0\r\n2006-02-17,21:00:00,3780.00,3780.00,3779.00,3779.00,38,0\r\n2006-02-17,21:01:00,3779.00,3780.00,3779.00,3780.00,4,0\r\n2006-02-17,21:02:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-17,21:04:00,3780.00,3780.00,3780.00,3780.00,3,0\r\n2006-02-17,21:06:00,3779.00,3779.00,3779.00,3779.00,11,0\r\n2006-02-17,21:11:00,3779.00,3779.00,3778.00,3778.00,36,0\r\n2006-02-17,21:12:00,3779.00,3779.00,3778.00,3778.00,5,0\r\n2006-02-17,21:13:00,3778.00,3779.00,3778.00,3778.00,12,0\r\n2006-02-17,21:14:00,3777.00,3777.00,3777.00,3777.00,104,0\r\n2006-02-17,21:15:00,3777.00,3777.00,3777.00,3777.00,24,0\r\n2006-02-17,21:16:00,3776.00,3776.00,3775.00,3775.00,206,0\r\n2006-02-17,21:17:00,3775.00,3776.00,3775.00,3776.00,67,0\r\n2006-02-17,21:18:00,3777.00,3778.00,3777.00,3778.00,61,0\r\n2006-02-17,21:19:00,3777.00,3777.00,3775.00,3775.00,109,0\r\n2006-02-17,21:20:00,3775.00,3775.00,3775.00,3775.00,6,0\r\n2006-02-17,21:21:00,3775.00,3776.00,3775.00,3776.00,12,0\r\n2006-02-17,21:22:00,3775.00,3776.00,3775.00,3775.00,10,0\r\n2006-02-17,21:23:00,3775.00,3775.00,3775.00,3775.00,116,0\r\n2006-02-17,21:24:00,3775.00,3775.00,3775.00,3775.00,4,0\r\n2006-02-17,21:25:00,3775.00,3776.00,3775.00,3776.00,45,0\r\n2006-02-17,21:26:00,3776.00,3777.00,3776.00,3777.00,43,0\r\n2006-02-17,21:28:00,3777.00,3777.00,3777.00,3777.00,4,0\r\n2006-02-17,21:29:00,3776.00,3776.00,3776.00,3776.00,55,0\r\n2006-02-17,21:30:00,3776.00,3776.00,3776.00,3776.00,4,0\r\n2006-02-17,21:31:00,3776.00,3776.00,3775.00,3776.00,9,0\r\n2006-02-17,21:32:00,3776.00,3776.00,3776.00,3776.00,10,0\r\n2006-02-17,21:33:00,3776.00,3777.00,3776.00,3777.00,20,0\r\n2006-02-17,21:34:00,3776.00,3777.00,3775.00,3775.00,63,0\r\n2006-02-17,21:35:00,3776.00,3776.00,3776.00,3776.00,1,0\r\n2006-02-17,21:36:00,3775.00,3775.00,3775.00,3775.00,30,0\r\n2006-02-17,21:37:00,3776.00,3776.00,3775.00,3776.00,4,0\r\n2006-02-17,21:38:00,3775.00,3775.00,3775.00,3775.00,10,0\r\n2006-02-17,21:39:00,3775.00,3776.00,3775.00,3776.00,31,0\r\n2006-02-17,21:40:00,3776.00,3776.00,3776.00,3776.00,51,0\r\n2006-02-17,21:41:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-17,21:42:00,3777.00,3777.00,3776.00,3777.00,4,0\r\n2006-02-17,21:43:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-17,21:44:00,3777.00,3777.00,3777.00,3777.00,8,0\r\n2006-02-17,21:45:00,3777.00,3777.00,3777.00,3777.00,7,0\r\n2006-02-17,21:46:00,3777.00,3777.00,3777.00,3777.00,15,0\r\n2006-02-17,21:47:00,3777.00,3778.00,3777.00,3778.00,15,0\r\n2006-02-17,21:48:00,3777.00,3778.00,3777.00,3777.00,13,0\r\n2006-02-17,21:49:00,3778.00,3778.00,3778.00,3778.00,21,0\r\n2006-02-17,21:50:00,3778.00,3778.00,3777.00,3777.00,11,0\r\n2006-02-17,21:51:00,3778.00,3778.00,3777.00,3777.00,42,0\r\n2006-02-17,21:52:00,3778.00,3778.00,3777.00,3778.00,12,0\r\n2006-02-17,21:53:00,3777.00,3777.00,3776.00,3777.00,211,0\r\n2006-02-17,21:54:00,3777.00,3777.00,3776.00,3776.00,116,0\r\n2006-02-17,21:55:00,3777.00,3777.00,3777.00,3777.00,11,0\r\n2006-02-17,21:56:00,3777.00,3778.00,3777.00,3777.00,308,0\r\n2006-02-17,21:57:00,3778.00,3779.00,3777.00,3778.00,102,0\r\n2006-02-17,21:58:00,3778.00,3780.00,3777.00,3780.00,270,0\r\n2006-02-17,21:59:00,3779.00,3781.00,3779.00,3780.00,487,0\r\n2006-02-17,22:00:00,3780.00,3781.00,3777.00,3777.00,652,0\r\n2006-02-20,09:01:00,3769.00,3770.00,3768.00,3768.00,2273,0\r\n2006-02-20,09:02:00,3767.00,3767.00,3764.00,3764.00,1240,0\r\n2006-02-20,09:03:00,3764.00,3765.00,3763.00,3763.00,1829,0\r\n2006-02-20,09:04:00,3764.00,3766.00,3763.00,3764.00,1568,0\r\n2006-02-20,09:05:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,09:06:00,3765.00,3766.00,3765.00,3766.00,116,0\r\n2006-02-20,09:07:00,3766.00,3768.00,3766.00,3767.00,1046,0\r\n2006-02-20,09:08:00,3769.00,3770.00,3768.00,3769.00,1096,0\r\n2006-02-20,09:09:00,3768.00,3769.00,3768.00,3768.00,39,0\r\n2006-02-20,09:10:00,3768.00,3769.00,3765.00,3765.00,841,0\r\n2006-02-20,09:11:00,3766.00,3766.00,3763.00,3764.00,1020,0\r\n2006-02-20,09:12:00,3764.00,3765.00,3764.00,3764.00,155,0\r\n2006-02-20,09:13:00,3765.00,3765.00,3763.00,3765.00,319,0\r\n2006-02-20,09:14:00,3764.00,3765.00,3764.00,3764.00,167,0\r\n2006-02-20,09:15:00,3764.00,3768.00,3764.00,3767.00,1823,0\r\n2006-02-20,09:16:00,3767.00,3767.00,3765.00,3766.00,645,0\r\n2006-02-20,09:17:00,3765.00,3767.00,3764.00,3767.00,546,0\r\n2006-02-20,09:18:00,3766.00,3767.00,3766.00,3767.00,295,0\r\n2006-02-20,09:19:00,3766.00,3766.00,3764.00,3765.00,412,0\r\n2006-02-20,09:20:00,3765.00,3766.00,3765.00,3766.00,248,0\r\n2006-02-20,09:21:00,3766.00,3766.00,3765.00,3765.00,225,0\r\n2006-02-20,09:22:00,3764.00,3765.00,3763.00,3763.00,747,0\r\n2006-02-20,09:23:00,3763.00,3764.00,3763.00,3763.00,497,0\r\n2006-02-20,09:24:00,3763.00,3764.00,3763.00,3764.00,442,0\r\n2006-02-20,09:25:00,3765.00,3765.00,3760.00,3761.00,3712,0\r\n2006-02-20,09:26:00,3761.00,3762.00,3757.00,3757.00,2349,0\r\n2006-02-20,09:27:00,3758.00,3759.00,3756.00,3759.00,2427,0\r\n2006-02-20,09:28:00,3758.00,3759.00,3758.00,3759.00,326,0\r\n2006-02-20,09:29:00,3759.00,3760.00,3758.00,3760.00,1242,0\r\n2006-02-20,09:30:00,3760.00,3760.00,3759.00,3760.00,638,0\r\n2006-02-20,09:31:00,3759.00,3759.00,3758.00,3759.00,638,0\r\n2006-02-20,09:32:00,3759.00,3759.00,3757.00,3758.00,1405,0\r\n2006-02-20,09:33:00,3758.00,3759.00,3756.00,3758.00,2313,0\r\n2006-02-20,09:34:00,3758.00,3759.00,3758.00,3759.00,652,0\r\n2006-02-20,09:35:00,3759.00,3760.00,3758.00,3759.00,709,0\r\n2006-02-20,09:36:00,3758.00,3761.00,3756.00,3760.00,3493,0\r\n2006-02-20,09:37:00,3760.00,3761.00,3759.00,3760.00,487,0\r\n2006-02-20,09:38:00,3760.00,3761.00,3760.00,3760.00,257,0\r\n2006-02-20,09:39:00,3761.00,3762.00,3760.00,3761.00,415,0\r\n2006-02-20,09:40:00,3761.00,3761.00,3760.00,3760.00,643,0\r\n2006-02-20,09:41:00,3761.00,3761.00,3760.00,3761.00,256,0\r\n2006-02-20,09:42:00,3761.00,3761.00,3760.00,3761.00,140,0\r\n2006-02-20,09:43:00,3762.00,3762.00,3762.00,3762.00,356,0\r\n2006-02-20,09:44:00,3762.00,3763.00,3761.00,3761.00,451,0\r\n2006-02-20,09:45:00,3761.00,3762.00,3761.00,3762.00,20,0\r\n2006-02-20,09:46:00,3761.00,3762.00,3761.00,3761.00,32,0\r\n2006-02-20,09:47:00,3761.00,3761.00,3760.00,3761.00,254,0\r\n2006-02-20,09:48:00,3761.00,3761.00,3759.00,3759.00,562,0\r\n2006-02-20,09:49:00,3759.00,3760.00,3758.00,3760.00,199,0\r\n2006-02-20,09:50:00,3760.00,3760.00,3759.00,3760.00,1116,0\r\n2006-02-20,09:51:00,3760.00,3762.00,3760.00,3761.00,207,0\r\n2006-02-20,09:52:00,3761.00,3761.00,3760.00,3761.00,56,0\r\n2006-02-20,09:53:00,3762.00,3762.00,3761.00,3762.00,184,0\r\n2006-02-20,09:54:00,3762.00,3762.00,3760.00,3760.00,102,0\r\n2006-02-20,09:55:00,3761.00,3762.00,3760.00,3762.00,253,0\r\n2006-02-20,09:56:00,3762.00,3762.00,3762.00,3762.00,250,0\r\n2006-02-20,09:57:00,3762.00,3762.00,3761.00,3762.00,409,0\r\n2006-02-20,09:58:00,3762.00,3763.00,3762.00,3762.00,594,0\r\n2006-02-20,09:59:00,3762.00,3763.00,3762.00,3762.00,35,0\r\n2006-02-20,10:00:00,3762.00,3762.00,3762.00,3762.00,116,0\r\n2006-02-20,10:01:00,3763.00,3765.00,3763.00,3765.00,1547,0\r\n2006-02-20,10:02:00,3764.00,3765.00,3764.00,3765.00,16,0\r\n2006-02-20,10:03:00,3765.00,3766.00,3764.00,3766.00,1235,0\r\n2006-02-20,10:04:00,3767.00,3767.00,3765.00,3766.00,436,0\r\n2006-02-20,10:05:00,3766.00,3767.00,3766.00,3767.00,45,0\r\n2006-02-20,10:06:00,3767.00,3769.00,3767.00,3768.00,1270,0\r\n2006-02-20,10:07:00,3767.00,3768.00,3767.00,3768.00,660,0\r\n2006-02-20,10:08:00,3768.00,3768.00,3767.00,3767.00,353,0\r\n2006-02-20,10:09:00,3767.00,3769.00,3767.00,3768.00,128,0\r\n2006-02-20,10:10:00,3768.00,3769.00,3767.00,3767.00,267,0\r\n2006-02-20,10:11:00,3767.00,3767.00,3767.00,3767.00,54,0\r\n2006-02-20,10:12:00,3768.00,3768.00,3767.00,3767.00,423,0\r\n2006-02-20,10:13:00,3767.00,3767.00,3764.00,3764.00,943,0\r\n2006-02-20,10:14:00,3764.00,3766.00,3764.00,3766.00,370,0\r\n2006-02-20,10:15:00,3766.00,3767.00,3766.00,3767.00,206,0\r\n2006-02-20,10:16:00,3766.00,3766.00,3764.00,3764.00,294,0\r\n2006-02-20,10:17:00,3764.00,3766.00,3764.00,3766.00,304,0\r\n2006-02-20,10:18:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,10:19:00,3765.00,3765.00,3765.00,3765.00,236,0\r\n2006-02-20,10:20:00,3765.00,3766.00,3765.00,3765.00,190,0\r\n2006-02-20,10:21:00,3765.00,3766.00,3765.00,3766.00,59,0\r\n2006-02-20,10:22:00,3766.00,3766.00,3765.00,3766.00,98,0\r\n2006-02-20,10:23:00,3765.00,3765.00,3764.00,3765.00,39,0\r\n2006-02-20,10:24:00,3765.00,3765.00,3764.00,3764.00,24,0\r\n2006-02-20,10:25:00,3765.00,3765.00,3764.00,3765.00,373,0\r\n2006-02-20,10:26:00,3765.00,3766.00,3764.00,3766.00,312,0\r\n2006-02-20,10:27:00,3766.00,3766.00,3765.00,3765.00,93,0\r\n2006-02-20,10:28:00,3765.00,3766.00,3765.00,3766.00,23,0\r\n2006-02-20,10:29:00,3766.00,3766.00,3765.00,3765.00,29,0\r\n2006-02-20,10:30:00,3766.00,3766.00,3765.00,3765.00,76,0\r\n2006-02-20,10:31:00,3766.00,3766.00,3765.00,3765.00,54,0\r\n2006-02-20,10:32:00,3766.00,3768.00,3766.00,3767.00,268,0\r\n2006-02-20,10:33:00,3767.00,3768.00,3767.00,3767.00,431,0\r\n2006-02-20,10:34:00,3768.00,3769.00,3768.00,3768.00,625,0\r\n2006-02-20,10:35:00,3768.00,3769.00,3768.00,3768.00,559,0\r\n2006-02-20,10:36:00,3769.00,3769.00,3768.00,3768.00,12,0\r\n2006-02-20,10:37:00,3768.00,3768.00,3768.00,3768.00,101,0\r\n2006-02-20,10:38:00,3768.00,3768.00,3767.00,3768.00,183,0\r\n2006-02-20,10:39:00,3768.00,3769.00,3768.00,3768.00,149,0\r\n2006-02-20,10:40:00,3769.00,3769.00,3769.00,3769.00,80,0\r\n2006-02-20,10:41:00,3768.00,3768.00,3768.00,3768.00,2,0\r\n2006-02-20,10:42:00,3768.00,3768.00,3768.00,3768.00,20,0\r\n2006-02-20,10:43:00,3769.00,3769.00,3769.00,3769.00,70,0\r\n2006-02-20,10:44:00,3768.00,3768.00,3768.00,3768.00,60,0\r\n2006-02-20,10:45:00,3768.00,3768.00,3767.00,3767.00,323,0\r\n2006-02-20,10:46:00,3768.00,3769.00,3768.00,3768.00,303,0\r\n2006-02-20,10:47:00,3768.00,3768.00,3767.00,3768.00,186,0\r\n2006-02-20,10:48:00,3768.00,3768.00,3768.00,3768.00,194,0\r\n2006-02-20,10:49:00,3768.00,3768.00,3767.00,3767.00,6,0\r\n2006-02-20,10:50:00,3767.00,3768.00,3766.00,3766.00,375,0\r\n2006-02-20,10:51:00,3766.00,3768.00,3766.00,3767.00,275,0\r\n2006-02-20,10:52:00,3767.00,3768.00,3767.00,3767.00,121,0\r\n2006-02-20,10:53:00,3767.00,3767.00,3766.00,3766.00,345,0\r\n2006-02-20,10:54:00,3766.00,3767.00,3766.00,3767.00,179,0\r\n2006-02-20,10:55:00,3768.00,3768.00,3767.00,3767.00,332,0\r\n2006-02-20,10:56:00,3767.00,3768.00,3767.00,3767.00,71,0\r\n2006-02-20,10:57:00,3767.00,3768.00,3767.00,3768.00,444,0\r\n2006-02-20,10:58:00,3768.00,3768.00,3768.00,3768.00,5,0\r\n2006-02-20,10:59:00,3769.00,3769.00,3768.00,3768.00,29,0\r\n2006-02-20,11:00:00,3768.00,3768.00,3766.00,3766.00,700,0\r\n2006-02-20,11:01:00,3766.00,3767.00,3766.00,3766.00,424,0\r\n2006-02-20,11:02:00,3766.00,3766.00,3765.00,3766.00,425,0\r\n2006-02-20,11:03:00,3766.00,3766.00,3766.00,3766.00,62,0\r\n2006-02-20,11:04:00,3767.00,3767.00,3766.00,3766.00,894,0\r\n2006-02-20,11:05:00,3766.00,3766.00,3765.00,3766.00,36,0\r\n2006-02-20,11:06:00,3766.00,3766.00,3766.00,3766.00,5,0\r\n2006-02-20,11:07:00,3766.00,3766.00,3765.00,3766.00,5,0\r\n2006-02-20,11:08:00,3766.00,3766.00,3766.00,3766.00,57,0\r\n2006-02-20,11:09:00,3766.00,3766.00,3766.00,3766.00,737,0\r\n2006-02-20,11:10:00,3766.00,3766.00,3766.00,3766.00,65,0\r\n2006-02-20,11:11:00,3766.00,3766.00,3766.00,3766.00,316,0\r\n2006-02-20,11:12:00,3765.00,3766.00,3765.00,3765.00,4,0\r\n2006-02-20,11:13:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,11:14:00,3766.00,3766.00,3765.00,3765.00,543,0\r\n2006-02-20,11:15:00,3766.00,3766.00,3765.00,3765.00,4,0\r\n2006-02-20,11:16:00,3766.00,3767.00,3765.00,3767.00,218,0\r\n2006-02-20,11:17:00,3766.00,3767.00,3766.00,3766.00,3,0\r\n2006-02-20,11:18:00,3767.00,3767.00,3766.00,3767.00,988,0\r\n2006-02-20,11:19:00,3767.00,3767.00,3766.00,3766.00,107,0\r\n2006-02-20,11:20:00,3767.00,3767.00,3766.00,3766.00,22,0\r\n2006-02-20,11:21:00,3767.00,3767.00,3766.00,3766.00,9,0\r\n2006-02-20,11:22:00,3766.00,3767.00,3765.00,3766.00,438,0\r\n2006-02-20,11:23:00,3766.00,3766.00,3765.00,3766.00,278,0\r\n2006-02-20,11:24:00,3766.00,3767.00,3766.00,3766.00,118,0\r\n2006-02-20,11:25:00,3766.00,3767.00,3766.00,3766.00,105,0\r\n2006-02-20,11:26:00,3767.00,3767.00,3767.00,3767.00,61,0\r\n2006-02-20,11:27:00,3767.00,3767.00,3766.00,3766.00,245,0\r\n2006-02-20,11:28:00,3766.00,3767.00,3766.00,3767.00,123,0\r\n2006-02-20,11:29:00,3767.00,3767.00,3766.00,3766.00,101,0\r\n2006-02-20,11:30:00,3766.00,3767.00,3766.00,3766.00,179,0\r\n2006-02-20,11:31:00,3765.00,3766.00,3765.00,3766.00,63,0\r\n2006-02-20,11:32:00,3765.00,3767.00,3765.00,3767.00,597,0\r\n2006-02-20,11:33:00,3767.00,3768.00,3767.00,3768.00,962,0\r\n2006-02-20,11:34:00,3768.00,3769.00,3767.00,3768.00,579,0\r\n2006-02-20,11:35:00,3767.00,3769.00,3767.00,3768.00,301,0\r\n2006-02-20,11:36:00,3768.00,3769.00,3768.00,3768.00,107,0\r\n2006-02-20,11:37:00,3768.00,3768.00,3768.00,3768.00,448,0\r\n2006-02-20,11:38:00,3768.00,3768.00,3768.00,3768.00,228,0\r\n2006-02-20,11:39:00,3768.00,3768.00,3768.00,3768.00,1,0\r\n2006-02-20,11:40:00,3768.00,3768.00,3768.00,3768.00,80,0\r\n2006-02-20,11:41:00,3768.00,3768.00,3767.00,3767.00,581,0\r\n2006-02-20,11:42:00,3768.00,3768.00,3767.00,3767.00,61,0\r\n2006-02-20,11:43:00,3767.00,3767.00,3767.00,3767.00,24,0\r\n2006-02-20,11:44:00,3768.00,3768.00,3767.00,3767.00,404,0\r\n2006-02-20,11:45:00,3768.00,3768.00,3767.00,3767.00,17,0\r\n2006-02-20,11:46:00,3768.00,3768.00,3767.00,3767.00,131,0\r\n2006-02-20,11:47:00,3768.00,3769.00,3768.00,3769.00,312,0\r\n2006-02-20,11:48:00,3768.00,3768.00,3768.00,3768.00,96,0\r\n2006-02-20,11:49:00,3768.00,3768.00,3768.00,3768.00,60,0\r\n2006-02-20,11:50:00,3767.00,3768.00,3767.00,3768.00,27,0\r\n2006-02-20,11:51:00,3767.00,3767.00,3767.00,3767.00,5024,0\r\n2006-02-20,11:52:00,3767.00,3767.00,3767.00,3767.00,58,0\r\n2006-02-20,11:53:00,3767.00,3767.00,3767.00,3767.00,21,0\r\n2006-02-20,11:54:00,3768.00,3768.00,3766.00,3766.00,316,0\r\n2006-02-20,11:56:00,3766.00,3767.00,3766.00,3766.00,76,0\r\n2006-02-20,11:57:00,3766.00,3766.00,3766.00,3766.00,73,0\r\n2006-02-20,11:58:00,3766.00,3766.00,3766.00,3766.00,6,0\r\n2006-02-20,11:59:00,3766.00,3767.00,3766.00,3767.00,51,0\r\n2006-02-20,12:00:00,3766.00,3766.00,3765.00,3766.00,239,0\r\n2006-02-20,12:01:00,3766.00,3766.00,3765.00,3766.00,181,0\r\n2006-02-20,12:02:00,3766.00,3767.00,3766.00,3767.00,160,0\r\n2006-02-20,12:03:00,3766.00,3767.00,3766.00,3767.00,105,0\r\n2006-02-20,12:04:00,3766.00,3767.00,3766.00,3766.00,26,0\r\n2006-02-20,12:05:00,3767.00,3767.00,3766.00,3767.00,97,0\r\n2006-02-20,12:06:00,3766.00,3767.00,3766.00,3767.00,6,0\r\n2006-02-20,12:07:00,3766.00,3767.00,3766.00,3767.00,23,0\r\n2006-02-20,12:08:00,3766.00,3766.00,3766.00,3766.00,56,0\r\n2006-02-20,12:09:00,3766.00,3766.00,3765.00,3765.00,279,0\r\n2006-02-20,12:10:00,3765.00,3766.00,3765.00,3766.00,4,0\r\n2006-02-20,12:11:00,3765.00,3766.00,3765.00,3765.00,7,0\r\n2006-02-20,12:12:00,3765.00,3766.00,3765.00,3766.00,3,0\r\n2006-02-20,12:13:00,3765.00,3766.00,3765.00,3766.00,683,0\r\n2006-02-20,12:14:00,3765.00,3765.00,3764.00,3764.00,138,0\r\n2006-02-20,12:15:00,3765.00,3765.00,3764.00,3764.00,29,0\r\n2006-02-20,12:16:00,3765.00,3765.00,3764.00,3764.00,67,0\r\n2006-02-20,12:17:00,3764.00,3765.00,3764.00,3765.00,17,0\r\n2006-02-20,12:18:00,3765.00,3765.00,3765.00,3765.00,131,0\r\n2006-02-20,12:19:00,3764.00,3764.00,3764.00,3764.00,2,0\r\n2006-02-20,12:20:00,3765.00,3765.00,3764.00,3764.00,6,0\r\n2006-02-20,12:21:00,3764.00,3765.00,3764.00,3765.00,86,0\r\n2006-02-20,12:22:00,3765.00,3766.00,3765.00,3765.00,485,0\r\n2006-02-20,12:23:00,3765.00,3766.00,3765.00,3765.00,273,0\r\n2006-02-20,12:24:00,3765.00,3765.00,3764.00,3764.00,10,0\r\n2006-02-20,12:25:00,3765.00,3765.00,3765.00,3765.00,34,0\r\n2006-02-20,12:26:00,3764.00,3765.00,3764.00,3765.00,195,0\r\n2006-02-20,12:27:00,3765.00,3766.00,3765.00,3766.00,582,0\r\n2006-02-20,12:28:00,3766.00,3766.00,3766.00,3766.00,139,0\r\n2006-02-20,12:29:00,3766.00,3766.00,3766.00,3766.00,31,0\r\n2006-02-20,12:30:00,3766.00,3766.00,3765.00,3766.00,74,0\r\n2006-02-20,12:31:00,3766.00,3766.00,3766.00,3766.00,1,0\r\n2006-02-20,12:32:00,3765.00,3765.00,3765.00,3765.00,3,0\r\n2006-02-20,12:33:00,3766.00,3766.00,3766.00,3766.00,10,0\r\n2006-02-20,12:34:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,12:35:00,3765.00,3765.00,3765.00,3765.00,5,0\r\n2006-02-20,12:36:00,3765.00,3765.00,3765.00,3765.00,17,0\r\n2006-02-20,12:38:00,3765.00,3765.00,3765.00,3765.00,40,0\r\n2006-02-20,12:39:00,3766.00,3766.00,3766.00,3766.00,1,0\r\n2006-02-20,12:40:00,3765.00,3765.00,3765.00,3765.00,137,0\r\n2006-02-20,12:41:00,3765.00,3765.00,3765.00,3765.00,167,0\r\n2006-02-20,12:42:00,3765.00,3765.00,3764.00,3765.00,109,0\r\n2006-02-20,12:43:00,3765.00,3765.00,3764.00,3765.00,74,0\r\n2006-02-20,12:44:00,3765.00,3765.00,3764.00,3764.00,24,0\r\n2006-02-20,12:45:00,3765.00,3765.00,3765.00,3765.00,24,0\r\n2006-02-20,12:46:00,3765.00,3765.00,3764.00,3764.00,9,0\r\n2006-02-20,12:47:00,3764.00,3764.00,3764.00,3764.00,15,0\r\n2006-02-20,12:48:00,3764.00,3765.00,3764.00,3765.00,402,0\r\n2006-02-20,12:49:00,3765.00,3765.00,3765.00,3765.00,263,0\r\n2006-02-20,12:50:00,3765.00,3765.00,3765.00,3765.00,861,0\r\n2006-02-20,12:51:00,3765.00,3765.00,3764.00,3765.00,72,0\r\n2006-02-20,12:52:00,3765.00,3765.00,3765.00,3765.00,35,0\r\n2006-02-20,12:53:00,3765.00,3765.00,3765.00,3765.00,4,0\r\n2006-02-20,12:54:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,12:55:00,3765.00,3765.00,3765.00,3765.00,64,0\r\n2006-02-20,12:56:00,3765.00,3765.00,3765.00,3765.00,72,0\r\n2006-02-20,12:58:00,3765.00,3766.00,3765.00,3765.00,130,0\r\n2006-02-20,12:59:00,3765.00,3765.00,3765.00,3765.00,61,0\r\n2006-02-20,13:00:00,3765.00,3765.00,3764.00,3765.00,59,0\r\n2006-02-20,13:01:00,3764.00,3764.00,3764.00,3764.00,206,0\r\n2006-02-20,13:02:00,3764.00,3765.00,3764.00,3765.00,573,0\r\n2006-02-20,13:03:00,3765.00,3765.00,3764.00,3765.00,82,0\r\n2006-02-20,13:04:00,3764.00,3765.00,3763.00,3764.00,173,0\r\n2006-02-20,13:05:00,3764.00,3764.00,3764.00,3764.00,6,0\r\n2006-02-20,13:06:00,3764.00,3764.00,3764.00,3764.00,34,0\r\n2006-02-20,13:07:00,3764.00,3764.00,3764.00,3764.00,37,0\r\n2006-02-20,13:08:00,3764.00,3764.00,3764.00,3764.00,1,0\r\n2006-02-20,13:09:00,3764.00,3764.00,3764.00,3764.00,74,0\r\n2006-02-20,13:10:00,3764.00,3764.00,3764.00,3764.00,21,0\r\n2006-02-20,13:11:00,3764.00,3764.00,3763.00,3764.00,36,0\r\n2006-02-20,13:12:00,3764.00,3764.00,3763.00,3763.00,47,0\r\n2006-02-20,13:13:00,3763.00,3764.00,3763.00,3764.00,4,0\r\n2006-02-20,13:14:00,3763.00,3763.00,3763.00,3763.00,371,0\r\n2006-02-20,13:15:00,3764.00,3764.00,3763.00,3763.00,5,0\r\n2006-02-20,13:16:00,3763.00,3763.00,3763.00,3763.00,4,0\r\n2006-02-20,13:17:00,3764.00,3764.00,3764.00,3764.00,651,0\r\n2006-02-20,13:19:00,3764.00,3764.00,3764.00,3764.00,49,0\r\n2006-02-20,13:20:00,3764.00,3764.00,3763.00,3764.00,212,0\r\n2006-02-20,13:21:00,3764.00,3765.00,3763.00,3765.00,267,0\r\n2006-02-20,13:24:00,3765.00,3765.00,3764.00,3764.00,40,0\r\n2006-02-20,13:26:00,3765.00,3765.00,3765.00,3765.00,497,0\r\n2006-02-20,13:27:00,3766.00,3766.00,3766.00,3766.00,2,0\r\n2006-02-20,13:28:00,3766.00,3766.00,3765.00,3765.00,658,0\r\n2006-02-20,13:29:00,3766.00,3767.00,3765.00,3766.00,184,0\r\n2006-02-20,13:30:00,3766.00,3766.00,3766.00,3766.00,14,0\r\n2006-02-20,13:31:00,3765.00,3767.00,3765.00,3767.00,93,0\r\n2006-02-20,13:32:00,3766.00,3766.00,3766.00,3766.00,28,0\r\n2006-02-20,13:33:00,3766.00,3766.00,3766.00,3766.00,218,0\r\n2006-02-20,13:34:00,3767.00,3767.00,3766.00,3767.00,36,0\r\n2006-02-20,13:35:00,3766.00,3767.00,3766.00,3767.00,6,0\r\n2006-02-20,13:36:00,3767.00,3767.00,3767.00,3767.00,31,0\r\n2006-02-20,13:37:00,3767.00,3767.00,3767.00,3767.00,5,0\r\n2006-02-20,13:38:00,3767.00,3767.00,3767.00,3767.00,4,0\r\n2006-02-20,13:39:00,3766.00,3766.00,3766.00,3766.00,614,0\r\n2006-02-20,13:40:00,3766.00,3766.00,3766.00,3766.00,8,0\r\n2006-02-20,13:42:00,3766.00,3767.00,3766.00,3767.00,248,0\r\n2006-02-20,13:43:00,3766.00,3766.00,3766.00,3766.00,57,0\r\n2006-02-20,13:44:00,3766.00,3766.00,3766.00,3766.00,384,0\r\n2006-02-20,13:45:00,3765.00,3765.00,3765.00,3765.00,71,0\r\n2006-02-20,13:47:00,3766.00,3766.00,3766.00,3766.00,118,0\r\n2006-02-20,13:48:00,3766.00,3766.00,3765.00,3765.00,538,0\r\n2006-02-20,13:49:00,3766.00,3766.00,3765.00,3765.00,30,0\r\n2006-02-20,13:51:00,3765.00,3765.00,3765.00,3765.00,2,0\r\n2006-02-20,13:52:00,3766.00,3766.00,3766.00,3766.00,618,0\r\n2006-02-20,13:53:00,3766.00,3766.00,3766.00,3766.00,25,0\r\n2006-02-20,13:54:00,3765.00,3765.00,3765.00,3765.00,50,0\r\n2006-02-20,13:55:00,3765.00,3765.00,3765.00,3765.00,2079,0\r\n2006-02-20,13:56:00,3765.00,3765.00,3765.00,3765.00,23,0\r\n2006-02-20,13:58:00,3765.00,3766.00,3765.00,3766.00,548,0\r\n2006-02-20,14:01:00,3765.00,3765.00,3765.00,3765.00,6,0\r\n2006-02-20,14:02:00,3765.00,3765.00,3765.00,3765.00,10,0\r\n2006-02-20,14:03:00,3765.00,3765.00,3765.00,3765.00,283,0\r\n2006-02-20,14:04:00,3765.00,3765.00,3765.00,3765.00,58,0\r\n2006-02-20,14:06:00,3765.00,3765.00,3765.00,3765.00,115,0\r\n2006-02-20,14:07:00,3765.00,3765.00,3765.00,3765.00,4,0\r\n2006-02-20,14:08:00,3765.00,3765.00,3765.00,3765.00,154,0\r\n2006-02-20,14:10:00,3765.00,3766.00,3765.00,3766.00,112,0\r\n2006-02-20,14:11:00,3765.00,3766.00,3765.00,3766.00,487,0\r\n2006-02-20,14:12:00,3765.00,3765.00,3765.00,3765.00,117,0\r\n2006-02-20,14:13:00,3764.00,3765.00,3764.00,3765.00,38,0\r\n2006-02-20,14:14:00,3764.00,3765.00,3764.00,3765.00,60,0\r\n2006-02-20,14:15:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,14:16:00,3764.00,3764.00,3763.00,3764.00,408,0\r\n2006-02-20,14:17:00,3763.00,3764.00,3763.00,3764.00,75,0\r\n2006-02-20,14:18:00,3764.00,3765.00,3764.00,3765.00,16,0\r\n2006-02-20,14:19:00,3764.00,3764.00,3764.00,3764.00,26,0\r\n2006-02-20,14:20:00,3765.00,3765.00,3765.00,3765.00,1,0\r\n2006-02-20,14:21:00,3764.00,3765.00,3764.00,3765.00,186,0\r\n2006-02-20,14:22:00,3764.00,3764.00,3764.00,3764.00,10,0\r\n2006-02-20,14:23:00,3764.00,3764.00,3764.00,3764.00,195,0\r\n2006-02-20,14:24:00,3764.00,3764.00,3764.00,3764.00,66,0\r\n2006-02-20,14:25:00,3764.00,3764.00,3764.00,3764.00,15,0\r\n2006-02-20,14:27:00,3764.00,3764.00,3764.00,3764.00,25,0\r\n2006-02-20,14:28:00,3764.00,3764.00,3764.00,3764.00,102,0\r\n2006-02-20,14:29:00,3764.00,3764.00,3764.00,3764.00,47,0\r\n2006-02-20,14:30:00,3763.00,3763.00,3763.00,3763.00,10,0\r\n2006-02-20,14:31:00,3764.00,3764.00,3763.00,3763.00,5,0\r\n2006-02-20,14:32:00,3764.00,3764.00,3764.00,3764.00,149,0\r\n2006-02-20,14:33:00,3764.00,3764.00,3763.00,3763.00,5,0\r\n2006-02-20,14:34:00,3764.00,3764.00,3764.00,3764.00,20,0\r\n2006-02-20,14:35:00,3764.00,3764.00,3764.00,3764.00,2,0\r\n2006-02-20,14:36:00,3764.00,3764.00,3763.00,3764.00,197,0\r\n2006-02-20,14:37:00,3764.00,3764.00,3764.00,3764.00,27,0\r\n2006-02-20,14:38:00,3764.00,3764.00,3764.00,3764.00,24,0\r\n2006-02-20,14:39:00,3763.00,3763.00,3763.00,3763.00,15,0\r\n2006-02-20,14:40:00,3764.00,3764.00,3763.00,3764.00,3,0\r\n2006-02-20,14:41:00,3763.00,3764.00,3763.00,3763.00,410,0\r\n2006-02-20,14:42:00,3763.00,3764.00,3763.00,3764.00,150,0\r\n2006-02-20,14:43:00,3763.00,3763.00,3763.00,3763.00,393,0\r\n2006-02-20,14:45:00,3763.00,3763.00,3763.00,3763.00,663,0\r\n2006-02-20,14:46:00,3763.00,3763.00,3762.00,3762.00,414,0\r\n2006-02-20,14:47:00,3762.00,3762.00,3760.00,3761.00,1214,0\r\n2006-02-20,14:48:00,3762.00,3762.00,3761.00,3761.00,41,0\r\n2006-02-20,14:49:00,3761.00,3762.00,3761.00,3761.00,168,0\r\n2006-02-20,14:50:00,3761.00,3761.00,3761.00,3761.00,313,0\r\n2006-02-20,14:51:00,3761.00,3761.00,3761.00,3761.00,117,0\r\n2006-02-20,14:53:00,3762.00,3762.00,3761.00,3761.00,24,0\r\n2006-02-20,14:54:00,3761.00,3761.00,3760.00,3761.00,201,0\r\n2006-02-20,14:55:00,3760.00,3761.00,3760.00,3761.00,183,0\r\n2006-02-20,14:56:00,3760.00,3761.00,3760.00,3761.00,182,0\r\n2006-02-20,14:57:00,3761.00,3761.00,3760.00,3760.00,22,0\r\n2006-02-20,14:58:00,3760.00,3761.00,3760.00,3760.00,101,0\r\n2006-02-20,14:59:00,3760.00,3761.00,3760.00,3760.00,4,0\r\n2006-02-20,15:00:00,3760.00,3761.00,3760.00,3761.00,17,0\r\n2006-02-20,15:01:00,3760.00,3761.00,3760.00,3761.00,1409,0\r\n2006-02-20,15:02:00,3760.00,3761.00,3760.00,3761.00,194,0\r\n2006-02-20,15:03:00,3760.00,3761.00,3760.00,3761.00,1034,0\r\n2006-02-20,15:04:00,3761.00,3762.00,3761.00,3761.00,281,0\r\n2006-02-20,15:05:00,3761.00,3761.00,3761.00,3761.00,6,0\r\n2006-02-20,15:06:00,3761.00,3763.00,3761.00,3763.00,617,0\r\n2006-02-20,15:07:00,3762.00,3763.00,3761.00,3761.00,150,0\r\n2006-02-20,15:08:00,3762.00,3762.00,3761.00,3761.00,8,0\r\n2006-02-20,15:09:00,3762.00,3762.00,3761.00,3762.00,316,0\r\n2006-02-20,15:10:00,3763.00,3763.00,3762.00,3762.00,9,0\r\n2006-02-20,15:11:00,3763.00,3763.00,3763.00,3763.00,166,0\r\n2006-02-20,15:12:00,3763.00,3763.00,3763.00,3763.00,722,0\r\n2006-02-20,15:13:00,3763.00,3763.00,3763.00,3763.00,228,0\r\n2006-02-20,15:14:00,3763.00,3763.00,3763.00,3763.00,116,0\r\n2006-02-20,15:15:00,3763.00,3764.00,3763.00,3763.00,7,0\r\n2006-02-20,15:16:00,3764.00,3765.00,3764.00,3764.00,1048,0\r\n2006-02-20,15:17:00,3764.00,3765.00,3764.00,3765.00,3,0\r\n2006-02-20,15:18:00,3765.00,3765.00,3764.00,3764.00,320,0\r\n2006-02-20,15:19:00,3764.00,3764.00,3764.00,3764.00,93,0\r\n2006-02-20,15:20:00,3764.00,3764.00,3763.00,3763.00,14,0\r\n2006-02-20,15:23:00,3763.00,3763.00,3763.00,3763.00,81,0\r\n2006-02-20,15:26:00,3764.00,3764.00,3764.00,3764.00,80,0\r\n2006-02-20,15:27:00,3764.00,3764.00,3763.00,3763.00,14,0\r\n2006-02-20,15:29:00,3763.00,3763.00,3763.00,3763.00,3,0\r\n2006-02-20,15:30:00,3763.00,3763.00,3763.00,3763.00,534,0\r\n2006-02-20,15:31:00,3764.00,3764.00,3763.00,3763.00,29,0\r\n2006-02-20,15:33:00,3763.00,3763.00,3763.00,3763.00,1,0\r\n2006-02-20,15:34:00,3763.00,3763.00,3763.00,3763.00,127,0\r\n2006-02-20,15:35:00,3763.00,3763.00,3763.00,3763.00,8,0\r\n2006-02-20,15:36:00,3763.00,3763.00,3763.00,3763.00,11,0\r\n2006-02-20,15:38:00,3764.00,3764.00,3763.00,3763.00,160,0\r\n2006-02-20,15:40:00,3763.00,3763.00,3763.00,3763.00,1,0\r\n2006-02-20,15:41:00,3763.00,3763.00,3763.00,3763.00,1,0\r\n2006-02-20,15:42:00,3763.00,3765.00,3763.00,3765.00,270,0\r\n2006-02-20,15:43:00,3765.00,3765.00,3765.00,3765.00,17,0\r\n2006-02-20,15:44:00,3765.00,3765.00,3764.00,3764.00,196,0\r\n2006-02-20,15:45:00,3764.00,3765.00,3764.00,3765.00,304,0\r\n2006-02-20,15:46:00,3764.00,3765.00,3764.00,3764.00,56,0\r\n2006-02-20,15:47:00,3765.00,3765.00,3765.00,3765.00,4,0\r\n2006-02-20,15:48:00,3765.00,3765.00,3764.00,3764.00,6,0\r\n2006-02-20,15:49:00,3764.00,3764.00,3764.00,3764.00,13,0\r\n2006-02-20,15:50:00,3764.00,3764.00,3764.00,3764.00,43,0\r\n2006-02-20,15:51:00,3764.00,3765.00,3764.00,3765.00,65,0\r\n2006-02-20,15:52:00,3764.00,3764.00,3764.00,3764.00,5,0\r\n2006-02-20,15:53:00,3765.00,3765.00,3765.00,3765.00,104,0\r\n2006-02-20,15:54:00,3765.00,3765.00,3764.00,3765.00,323,0\r\n2006-02-20,15:55:00,3765.00,3765.00,3764.00,3764.00,101,0\r\n2006-02-20,15:56:00,3765.00,3765.00,3765.00,3765.00,27,0\r\n2006-02-20,15:57:00,3765.00,3765.00,3764.00,3764.00,171,0\r\n2006-02-20,15:58:00,3764.00,3765.00,3764.00,3765.00,100,0\r\n2006-02-20,15:59:00,3765.00,3766.00,3765.00,3766.00,583,0\r\n2006-02-20,16:00:00,3765.00,3767.00,3765.00,3767.00,253,0\r\n2006-02-20,16:01:00,3766.00,3769.00,3766.00,3769.00,1318,0\r\n2006-02-20,16:02:00,3769.00,3769.00,3768.00,3769.00,587,0\r\n2006-02-20,16:03:00,3769.00,3769.00,3768.00,3768.00,45,0\r\n2006-02-20,16:04:00,3768.00,3768.00,3767.00,3767.00,900,0\r\n2006-02-20,16:05:00,3767.00,3768.00,3766.00,3767.00,167,0\r\n2006-02-20,16:06:00,3768.00,3768.00,3767.00,3767.00,296,0\r\n2006-02-20,16:07:00,3767.00,3768.00,3767.00,3768.00,479,0\r\n2006-02-20,16:09:00,3767.00,3767.00,3767.00,3767.00,70,0\r\n2006-02-20,16:10:00,3768.00,3768.00,3767.00,3767.00,210,0\r\n2006-02-20,16:11:00,3767.00,3767.00,3767.00,3767.00,192,0\r\n2006-02-20,16:12:00,3766.00,3767.00,3766.00,3767.00,6,0\r\n2006-02-20,16:13:00,3767.00,3768.00,3767.00,3768.00,506,0\r\n2006-02-20,16:14:00,3768.00,3770.00,3768.00,3769.00,1483,0\r\n2006-02-20,16:15:00,3770.00,3771.00,3769.00,3770.00,1630,0\r\n2006-02-20,16:16:00,3771.00,3772.00,3770.00,3772.00,1627,0\r\n2006-02-20,16:17:00,3771.00,3772.00,3770.00,3771.00,970,0\r\n2006-02-20,16:18:00,3771.00,3771.00,3770.00,3770.00,4,0\r\n2006-02-20,16:19:00,3770.00,3771.00,3770.00,3770.00,189,0\r\n2006-02-20,16:20:00,3771.00,3771.00,3770.00,3770.00,170,0\r\n2006-02-20,16:21:00,3770.00,3770.00,3769.00,3770.00,167,0\r\n2006-02-20,16:22:00,3769.00,3770.00,3769.00,3770.00,81,0\r\n2006-02-20,16:23:00,3770.00,3772.00,3770.00,3772.00,459,0\r\n2006-02-20,16:24:00,3771.00,3772.00,3770.00,3771.00,230,0\r\n2006-02-20,16:25:00,3770.00,3770.00,3770.00,3770.00,375,0\r\n2006-02-20,16:26:00,3770.00,3770.00,3769.00,3770.00,93,0\r\n2006-02-20,16:27:00,3770.00,3771.00,3770.00,3770.00,271,0\r\n2006-02-20,16:28:00,3771.00,3771.00,3771.00,3771.00,404,0\r\n2006-02-20,16:29:00,3771.00,3771.00,3770.00,3770.00,257,0\r\n2006-02-20,16:30:00,3770.00,3770.00,3770.00,3770.00,27,0\r\n2006-02-20,16:31:00,3771.00,3771.00,3770.00,3770.00,179,0\r\n2006-02-20,16:32:00,3769.00,3771.00,3769.00,3771.00,167,0\r\n2006-02-20,16:33:00,3771.00,3771.00,3770.00,3770.00,121,0\r\n2006-02-20,16:34:00,3770.00,3771.00,3770.00,3771.00,230,0\r\n2006-02-20,16:35:00,3771.00,3772.00,3771.00,3772.00,624,0\r\n2006-02-20,16:36:00,3771.00,3773.00,3771.00,3773.00,427,0\r\n2006-02-20,16:37:00,3773.00,3774.00,3772.00,3772.00,889,0\r\n2006-02-20,16:38:00,3771.00,3772.00,3770.00,3771.00,792,0\r\n2006-02-20,16:39:00,3771.00,3772.00,3770.00,3771.00,121,0\r\n2006-02-20,16:40:00,3771.00,3771.00,3770.00,3770.00,258,0\r\n2006-02-20,16:41:00,3770.00,3772.00,3770.00,3771.00,131,0\r\n2006-02-20,16:42:00,3772.00,3772.00,3771.00,3771.00,146,0\r\n2006-02-20,16:43:00,3771.00,3771.00,3771.00,3771.00,522,0\r\n2006-02-20,16:44:00,3771.00,3771.00,3771.00,3771.00,700,0\r\n2006-02-20,16:45:00,3771.00,3771.00,3771.00,3771.00,34,0\r\n2006-02-20,16:46:00,3771.00,3772.00,3770.00,3771.00,386,0\r\n2006-02-20,16:47:00,3771.00,3772.00,3771.00,3771.00,236,0\r\n2006-02-20,16:48:00,3771.00,3772.00,3771.00,3771.00,194,0\r\n2006-02-20,16:49:00,3771.00,3774.00,3771.00,3773.00,1571,0\r\n2006-02-20,16:50:00,3774.00,3775.00,3773.00,3774.00,2033,0\r\n2006-02-20,16:51:00,3774.00,3774.00,3773.00,3773.00,302,0\r\n2006-02-20,16:52:00,3773.00,3773.00,3773.00,3773.00,220,0\r\n2006-02-20,16:53:00,3773.00,3775.00,3773.00,3774.00,659,0\r\n2006-02-20,16:54:00,3774.00,3774.00,3774.00,3774.00,241,0\r\n2006-02-20,16:55:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-20,16:56:00,3774.00,3775.00,3774.00,3774.00,85,0\r\n2006-02-20,16:57:00,3775.00,3775.00,3773.00,3773.00,750,0\r\n2006-02-20,16:58:00,3774.00,3774.00,3772.00,3772.00,813,0\r\n2006-02-20,16:59:00,3772.00,3772.00,3771.00,3771.00,121,0\r\n2006-02-20,17:00:00,3771.00,3772.00,3771.00,3772.00,379,0\r\n2006-02-20,17:01:00,3772.00,3772.00,3771.00,3771.00,414,0\r\n2006-02-20,17:02:00,3771.00,3772.00,3770.00,3770.00,467,0\r\n2006-02-20,17:03:00,3770.00,3771.00,3770.00,3770.00,59,0\r\n2006-02-20,17:04:00,3771.00,3772.00,3771.00,3771.00,416,0\r\n2006-02-20,17:05:00,3771.00,3772.00,3771.00,3772.00,38,0\r\n2006-02-20,17:06:00,3772.00,3773.00,3770.00,3772.00,954,0\r\n2006-02-20,17:07:00,3772.00,3773.00,3771.00,3771.00,63,0\r\n2006-02-20,17:08:00,3772.00,3773.00,3772.00,3773.00,122,0\r\n2006-02-20,17:09:00,3772.00,3773.00,3772.00,3772.00,37,0\r\n2006-02-20,17:10:00,3773.00,3773.00,3772.00,3773.00,115,0\r\n2006-02-20,17:11:00,3773.00,3774.00,3773.00,3773.00,655,0\r\n2006-02-20,17:12:00,3773.00,3773.00,3772.00,3772.00,100,0\r\n2006-02-20,17:13:00,3773.00,3773.00,3772.00,3773.00,27,0\r\n2006-02-20,17:14:00,3773.00,3773.00,3772.00,3772.00,134,0\r\n2006-02-20,17:15:00,3773.00,3773.00,3771.00,3772.00,396,0\r\n2006-02-20,17:16:00,3772.00,3773.00,3771.00,3772.00,667,0\r\n2006-02-20,17:17:00,3772.00,3772.00,3771.00,3771.00,217,0\r\n2006-02-20,17:18:00,3771.00,3772.00,3771.00,3772.00,819,0\r\n2006-02-20,17:19:00,3772.00,3772.00,3771.00,3771.00,213,0\r\n2006-02-20,17:20:00,3771.00,3772.00,3771.00,3772.00,164,0\r\n2006-02-20,17:21:00,3772.00,3772.00,3771.00,3771.00,438,0\r\n2006-02-20,17:22:00,3772.00,3772.00,3771.00,3772.00,109,0\r\n2006-02-20,17:23:00,3771.00,3773.00,3771.00,3772.00,989,0\r\n2006-02-20,17:24:00,3771.00,3772.00,3771.00,3772.00,265,0\r\n2006-02-20,17:25:00,3771.00,3772.00,3771.00,3772.00,84,0\r\n2006-02-20,17:26:00,3772.00,3772.00,3771.00,3772.00,181,0\r\n2006-02-20,17:27:00,3772.00,3772.00,3771.00,3771.00,647,0\r\n2006-02-20,17:28:00,3771.00,3772.00,3771.00,3772.00,437,0\r\n2006-02-20,17:29:00,3772.00,3772.00,3771.00,3771.00,154,0\r\n2006-02-20,17:30:00,3771.00,3771.00,3769.00,3770.00,3208,0\r\n2006-02-20,17:31:00,3770.00,3771.00,3769.00,3771.00,1924,0\r\n2006-02-20,17:32:00,3770.00,3771.00,3770.00,3770.00,685,0\r\n2006-02-20,17:33:00,3771.00,3771.00,3770.00,3770.00,792,0\r\n2006-02-20,17:34:00,3771.00,3772.00,3770.00,3771.00,995,0\r\n2006-02-20,17:35:00,3771.00,3771.00,3769.00,3769.00,650,0\r\n2006-02-20,17:36:00,3770.00,3770.00,3769.00,3770.00,843,0\r\n2006-02-20,17:37:00,3770.00,3771.00,3769.00,3771.00,395,0\r\n2006-02-20,17:38:00,3770.00,3771.00,3769.00,3770.00,672,0\r\n2006-02-20,17:39:00,3770.00,3771.00,3770.00,3771.00,137,0\r\n2006-02-20,17:40:00,3771.00,3771.00,3770.00,3771.00,568,0\r\n2006-02-20,17:41:00,3771.00,3771.00,3770.00,3771.00,399,0\r\n2006-02-20,17:42:00,3770.00,3771.00,3770.00,3770.00,392,0\r\n2006-02-20,17:43:00,3770.00,3770.00,3770.00,3770.00,520,0\r\n2006-02-20,17:44:00,3770.00,3770.00,3770.00,3770.00,27,0\r\n2006-02-20,17:45:00,3771.00,3771.00,3770.00,3770.00,318,0\r\n2006-02-20,17:46:00,3771.00,3771.00,3770.00,3771.00,207,0\r\n2006-02-20,17:47:00,3771.00,3772.00,3770.00,3771.00,629,0\r\n2006-02-20,17:48:00,3771.00,3771.00,3770.00,3770.00,446,0\r\n2006-02-20,17:50:00,3771.00,3771.00,3771.00,3771.00,1,0\r\n2006-02-20,17:51:00,3771.00,3771.00,3770.00,3770.00,104,0\r\n2006-02-20,17:52:00,3770.00,3771.00,3770.00,3771.00,238,0\r\n2006-02-20,17:53:00,3772.00,3772.00,3771.00,3772.00,304,0\r\n2006-02-20,17:54:00,3772.00,3772.00,3770.00,3770.00,510,0\r\n2006-02-20,17:55:00,3771.00,3771.00,3770.00,3771.00,13,0\r\n2006-02-20,17:56:00,3770.00,3772.00,3770.00,3772.00,230,0\r\n2006-02-20,17:57:00,3772.00,3772.00,3772.00,3772.00,10,0\r\n2006-02-20,17:58:00,3772.00,3772.00,3771.00,3772.00,181,0\r\n2006-02-20,17:59:00,3773.00,3773.00,3773.00,3773.00,532,0\r\n2006-02-20,18:00:00,3772.00,3774.00,3771.00,3771.00,365,0\r\n2006-02-20,18:01:00,3772.00,3773.00,3772.00,3773.00,176,0\r\n2006-02-20,18:02:00,3773.00,3773.00,3772.00,3772.00,25,0\r\n2006-02-20,18:03:00,3772.00,3772.00,3772.00,3772.00,3,0\r\n2006-02-20,18:04:00,3772.00,3773.00,3772.00,3773.00,11,0\r\n2006-02-20,18:05:00,3772.00,3772.00,3772.00,3772.00,1,0\r\n2006-02-20,18:06:00,3772.00,3772.00,3772.00,3772.00,50,0\r\n2006-02-20,18:07:00,3773.00,3773.00,3773.00,3773.00,461,0\r\n2006-02-20,18:08:00,3772.00,3773.00,3771.00,3772.00,434,0\r\n2006-02-20,18:10:00,3772.00,3772.00,3771.00,3771.00,14,0\r\n2006-02-20,18:11:00,3771.00,3772.00,3771.00,3772.00,60,0\r\n2006-02-20,18:12:00,3771.00,3771.00,3771.00,3771.00,21,0\r\n2006-02-20,18:13:00,3770.00,3771.00,3770.00,3771.00,17,0\r\n2006-02-20,18:14:00,3771.00,3771.00,3771.00,3771.00,5,0\r\n2006-02-20,18:15:00,3771.00,3771.00,3771.00,3771.00,131,0\r\n2006-02-20,18:17:00,3772.00,3774.00,3772.00,3774.00,298,0\r\n2006-02-20,18:18:00,3774.00,3774.00,3773.00,3773.00,319,0\r\n2006-02-20,18:19:00,3773.00,3773.00,3773.00,3773.00,30,0\r\n2006-02-20,18:20:00,3774.00,3774.00,3773.00,3773.00,226,0\r\n2006-02-20,18:21:00,3773.00,3773.00,3773.00,3773.00,211,0\r\n2006-02-20,18:22:00,3773.00,3773.00,3773.00,3773.00,64,0\r\n2006-02-20,18:23:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-20,18:25:00,3774.00,3774.00,3774.00,3774.00,20,0\r\n2006-02-20,18:27:00,3773.00,3773.00,3773.00,3773.00,21,0\r\n2006-02-20,18:28:00,3773.00,3773.00,3773.00,3773.00,54,0\r\n2006-02-20,18:29:00,3773.00,3773.00,3773.00,3773.00,41,0\r\n2006-02-20,18:30:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,18:32:00,3773.00,3773.00,3773.00,3773.00,20,0\r\n2006-02-20,18:33:00,3773.00,3773.00,3772.00,3773.00,530,0\r\n2006-02-20,18:35:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,18:36:00,3774.00,3774.00,3774.00,3774.00,23,0\r\n2006-02-20,18:37:00,3774.00,3774.00,3774.00,3774.00,137,0\r\n2006-02-20,18:38:00,3774.00,3775.00,3774.00,3775.00,138,0\r\n2006-02-20,18:39:00,3774.00,3774.00,3774.00,3774.00,174,0\r\n2006-02-20,18:45:00,3774.00,3774.00,3774.00,3774.00,262,0\r\n2006-02-20,18:46:00,3773.00,3774.00,3773.00,3774.00,12,0\r\n2006-02-20,18:47:00,3774.00,3774.00,3773.00,3774.00,110,0\r\n2006-02-20,18:48:00,3774.00,3774.00,3774.00,3774.00,11,0\r\n2006-02-20,18:49:00,3774.00,3774.00,3774.00,3774.00,2,0\r\n2006-02-20,18:50:00,3773.00,3773.00,3773.00,3773.00,181,0\r\n2006-02-20,18:51:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,18:52:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,18:54:00,3774.00,3774.00,3774.00,3774.00,9,0\r\n2006-02-20,18:55:00,3774.00,3774.00,3774.00,3774.00,21,0\r\n2006-02-20,18:56:00,3774.00,3774.00,3774.00,3774.00,14,0\r\n2006-02-20,18:57:00,3774.00,3774.00,3774.00,3774.00,7,0\r\n2006-02-20,18:58:00,3774.00,3774.00,3774.00,3774.00,166,0\r\n2006-02-20,19:00:00,3773.00,3773.00,3773.00,3773.00,104,0\r\n2006-02-20,19:01:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-20,19:05:00,3773.00,3773.00,3773.00,3773.00,20,0\r\n2006-02-20,19:06:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,19:07:00,3773.00,3773.00,3773.00,3773.00,2,0\r\n2006-02-20,19:08:00,3773.00,3773.00,3773.00,3773.00,20,0\r\n2006-02-20,19:10:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,19:11:00,3774.00,3774.00,3774.00,3774.00,47,0\r\n2006-02-20,19:12:00,3774.00,3774.00,3774.00,3774.00,2,0\r\n2006-02-20,19:13:00,3774.00,3774.00,3774.00,3774.00,69,0\r\n2006-02-20,19:14:00,3774.00,3774.00,3774.00,3774.00,2,0\r\n2006-02-20,19:15:00,3773.00,3773.00,3772.00,3772.00,52,0\r\n2006-02-20,19:16:00,3773.00,3773.00,3773.00,3773.00,17,0\r\n2006-02-20,19:17:00,3774.00,3774.00,3774.00,3774.00,100,0\r\n2006-02-20,19:18:00,3773.00,3773.00,3773.00,3773.00,134,0\r\n2006-02-20,19:19:00,3773.00,3773.00,3773.00,3773.00,15,0\r\n2006-02-20,19:20:00,3773.00,3773.00,3773.00,3773.00,1,0\r\n2006-02-20,19:23:00,3774.00,3774.00,3774.00,3774.00,100,0\r\n2006-02-20,19:25:00,3774.00,3774.00,3774.00,3774.00,102,0\r\n2006-02-20,19:26:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-20,19:27:00,3774.00,3775.00,3774.00,3775.00,51,0\r\n2006-02-20,19:28:00,3774.00,3774.00,3774.00,3774.00,4,0\r\n2006-02-20,19:29:00,3775.00,3775.00,3775.00,3775.00,67,0\r\n2006-02-20,19:34:00,3774.00,3774.00,3774.00,3774.00,112,0\r\n2006-02-20,19:35:00,3774.00,3774.00,3774.00,3774.00,2,0\r\n2006-02-20,19:36:00,3774.00,3774.00,3774.00,3774.00,18,0\r\n2006-02-20,19:38:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-20,19:39:00,3774.00,3774.00,3774.00,3774.00,12,0\r\n2006-02-20,19:42:00,3774.00,3774.00,3774.00,3774.00,55,0\r\n2006-02-20,19:44:00,3775.00,3775.00,3775.00,3775.00,149,0\r\n2006-02-20,19:45:00,3776.00,3776.00,3775.00,3776.00,88,0\r\n2006-02-20,19:46:00,3776.00,3776.00,3775.00,3775.00,5,0\r\n2006-02-20,19:50:00,3776.00,3776.00,3776.00,3776.00,1,0\r\n2006-02-20,19:51:00,3776.00,3776.00,3776.00,3776.00,69,0\r\n2006-02-20,19:52:00,3777.00,3777.00,3776.00,3776.00,83,0\r\n2006-02-20,19:53:00,3776.00,3776.00,3775.00,3776.00,16,0\r\n2006-02-20,19:54:00,3776.00,3776.00,3776.00,3776.00,2,0\r\n2006-02-20,19:55:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-20,19:57:00,3777.00,3777.00,3776.00,3776.00,11,0\r\n2006-02-20,19:58:00,3776.00,3776.00,3776.00,3776.00,42,0\r\n2006-02-20,20:01:00,3775.00,3775.00,3775.00,3775.00,3,0\r\n2006-02-20,20:02:00,3775.00,3776.00,3775.00,3776.00,48,0\r\n2006-02-20,20:03:00,3776.00,3777.00,3776.00,3776.00,51,0\r\n2006-02-20,20:04:00,3776.00,3776.00,3776.00,3776.00,100,0\r\n2006-02-20,20:05:00,3776.00,3776.00,3776.00,3776.00,8,0\r\n2006-02-20,20:06:00,3776.00,3776.00,3776.00,3776.00,12,0\r\n2006-02-20,20:09:00,3777.00,3777.00,3777.00,3777.00,8,0\r\n2006-02-20,20:12:00,3776.00,3776.00,3776.00,3776.00,3,0\r\n2006-02-20,20:14:00,3776.00,3776.00,3776.00,3776.00,2,0\r\n2006-02-20,20:16:00,3777.00,3777.00,3777.00,3777.00,128,0\r\n2006-02-20,20:19:00,3776.00,3776.00,3776.00,3776.00,1,0\r\n2006-02-20,20:21:00,3776.00,3776.00,3776.00,3776.00,1,0\r\n2006-02-20,20:25:00,3777.00,3778.00,3777.00,3778.00,233,0\r\n2006-02-20,20:27:00,3777.00,3777.00,3777.00,3777.00,89,0\r\n2006-02-20,20:28:00,3776.00,3776.00,3776.00,3776.00,100,0\r\n2006-02-20,20:30:00,3777.00,3777.00,3777.00,3777.00,21,0\r\n2006-02-20,20:31:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-20,20:33:00,3777.00,3777.00,3777.00,3777.00,15,0\r\n2006-02-20,20:36:00,3778.00,3779.00,3778.00,3779.00,127,0\r\n2006-02-20,20:37:00,3777.00,3777.00,3777.00,3777.00,4,0\r\n2006-02-20,20:42:00,3777.00,3777.00,3777.00,3777.00,100,0\r\n2006-02-20,20:43:00,3776.00,3777.00,3775.00,3775.00,116,0\r\n2006-02-20,20:44:00,3777.00,3777.00,3777.00,3777.00,9,0\r\n2006-02-20,20:45:00,3778.00,3778.00,3778.00,3778.00,6,0\r\n2006-02-20,20:52:00,3777.00,3777.00,3777.00,3777.00,6,0\r\n2006-02-20,20:54:00,3777.00,3777.00,3776.00,3776.00,2,0\r\n2006-02-20,20:55:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-20,20:58:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-20,21:04:00,3778.00,3778.00,3778.00,3778.00,2,0\r\n2006-02-20,21:07:00,3778.00,3778.00,3778.00,3778.00,12,0\r\n2006-02-20,21:08:00,3778.00,3779.00,3778.00,3778.00,202,0\r\n2006-02-20,21:09:00,3779.00,3780.00,3779.00,3780.00,187,0\r\n2006-02-20,21:10:00,3780.00,3780.00,3780.00,3780.00,100,0\r\n2006-02-20,21:12:00,3780.00,3780.00,3780.00,3780.00,400,0\r\n2006-02-20,21:13:00,3779.00,3779.00,3779.00,3779.00,10,0\r\n2006-02-20,21:14:00,3779.00,3779.00,3779.00,3779.00,6,0\r\n2006-02-20,21:19:00,3778.00,3779.00,3778.00,3778.00,60,0\r\n2006-02-20,21:23:00,3778.00,3778.00,3778.00,3778.00,1,0\r\n2006-02-20,21:25:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-20,21:29:00,3778.00,3778.00,3777.00,3777.00,2,0\r\n2006-02-20,21:30:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-20,21:31:00,3778.00,3778.00,3778.00,3778.00,4,0\r\n2006-02-20,21:32:00,3778.00,3779.00,3778.00,3779.00,3,0\r\n2006-02-20,21:33:00,3778.00,3778.00,3777.00,3777.00,75,0\r\n2006-02-20,21:34:00,3777.00,3777.00,3777.00,3777.00,5,0\r\n2006-02-20,21:35:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-20,21:44:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-20,21:45:00,3777.00,3777.00,3777.00,3777.00,1,0\r\n2006-02-20,21:46:00,3777.00,3777.00,3777.00,3777.00,3,0\r\n2006-02-20,21:48:00,3777.00,3777.00,3777.00,3777.00,23,0\r\n2006-02-20,21:52:00,3776.00,3777.00,3776.00,3777.00,9,0\r\n2006-02-20,21:53:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-20,21:54:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-20,21:56:00,3777.00,3777.00,3777.00,3777.00,12,0\r\n2006-02-20,21:57:00,3777.00,3777.00,3776.00,3776.00,37,0\r\n2006-02-20,21:58:00,3776.00,3776.00,3775.00,3776.00,25,0\r\n2006-02-20,21:59:00,3775.00,3776.00,3775.00,3775.00,155,0\r\n2006-02-20,22:00:00,3775.00,3775.00,3775.00,3775.00,441,0\r\n2006-02-21,09:01:00,3785.00,3788.00,3784.00,3787.00,8613,0\r\n2006-02-21,09:02:00,3787.00,3787.00,3785.00,3785.00,2234,0\r\n2006-02-21,09:03:00,3785.00,3785.00,3784.00,3785.00,2040,0\r\n2006-02-21,09:04:00,3786.00,3789.00,3785.00,3789.00,2682,0\r\n2006-02-21,09:05:00,3789.00,3790.00,3787.00,3787.00,2444,0\r\n2006-02-21,09:06:00,3787.00,3788.00,3786.00,3787.00,1220,0\r\n2006-02-21,09:07:00,3787.00,3789.00,3787.00,3789.00,1192,0\r\n2006-02-21,09:08:00,3789.00,3789.00,3788.00,3789.00,1797,0\r\n2006-02-21,09:09:00,3789.00,3795.00,3789.00,3793.00,7949,0\r\n2006-02-21,09:10:00,3794.00,3794.00,3793.00,3793.00,3421,0\r\n2006-02-21,09:11:00,3793.00,3795.00,3793.00,3794.00,3270,0\r\n2006-02-21,09:12:00,3794.00,3796.00,3794.00,3794.00,2402,0\r\n2006-02-21,09:13:00,3794.00,3794.00,3793.00,3793.00,691,0\r\n2006-02-21,09:14:00,3793.00,3794.00,3793.00,3793.00,1296,0\r\n2006-02-21,09:15:00,3793.00,3794.00,3791.00,3792.00,1658,0\r\n2006-02-21,09:16:00,3792.00,3793.00,3791.00,3792.00,1275,0\r\n2006-02-21,09:17:00,3791.00,3792.00,3790.00,3791.00,1521,0\r\n2006-02-21,09:18:00,3791.00,3792.00,3791.00,3791.00,5325,0\r\n2006-02-21,09:19:00,3791.00,3793.00,3791.00,3791.00,2199,0\r\n2006-02-21,09:20:00,3791.00,3792.00,3790.00,3790.00,540,0\r\n2006-02-21,09:21:00,3791.00,3792.00,3790.00,3791.00,1329,0\r\n2006-02-21,09:22:00,3791.00,3792.00,3791.00,3792.00,178,0\r\n2006-02-21,09:23:00,3792.00,3793.00,3790.00,3790.00,705,0\r\n2006-02-21,09:24:00,3791.00,3791.00,3790.00,3790.00,496,0\r\n2006-02-21,09:25:00,3791.00,3791.00,3789.00,3789.00,707,0\r\n2006-02-21,09:26:00,3789.00,3789.00,3788.00,3788.00,1276,0\r\n2006-02-21,09:27:00,3789.00,3790.00,3788.00,3789.00,1051,0\r\n2006-02-21,09:28:00,3789.00,3790.00,3788.00,3789.00,553,0\r\n2006-02-21,09:29:00,3789.00,3793.00,3789.00,3792.00,1694,0\r\n2006-02-21,09:30:00,3793.00,3794.00,3791.00,3792.00,1342,0\r\n2006-02-21,09:31:00,3792.00,3794.00,3791.00,3793.00,1713,0\r\n2006-02-21,09:32:00,3793.00,3795.00,3792.00,3793.00,998,0\r\n2006-02-21,09:33:00,3793.00,3794.00,3792.00,3792.00,1046,0\r\n2006-02-21,09:34:00,3793.00,3793.00,3791.00,3792.00,762,0\r\n2006-02-21,09:35:00,3793.00,3793.00,3792.00,3793.00,661,0\r\n2006-02-21,09:36:00,3792.00,3793.00,3792.00,3792.00,650,0\r\n2006-02-21,09:37:00,3791.00,3793.00,3791.00,3792.00,1204,0\r\n2006-02-21,09:38:00,3792.00,3793.00,3791.00,3792.00,731,0\r\n2006-02-21,09:39:00,3791.00,3792.00,3791.00,3792.00,57,0\r\n2006-02-21,09:40:00,3791.00,3792.00,3791.00,3791.00,146,0\r\n2006-02-21,09:41:00,3791.00,3791.00,3790.00,3791.00,583,0\r\n2006-02-21,09:42:00,3791.00,3791.00,3790.00,3791.00,751,0\r\n2006-02-21,09:43:00,3791.00,3792.00,3790.00,3791.00,2130,0\r\n2006-02-21,09:44:00,3792.00,3793.00,3792.00,3792.00,1108,0\r\n2006-02-21,09:45:00,3793.00,3794.00,3792.00,3793.00,857,0\r\n2006-02-21,09:46:00,3793.00,3794.00,3793.00,3793.00,1179,0\r\n2006-02-21,09:47:00,3793.00,3794.00,3791.00,3794.00,893,0\r\n2006-02-21,09:48:00,3793.00,3793.00,3792.00,3792.00,169,0\r\n2006-02-21,09:49:00,3793.00,3793.00,3792.00,3792.00,1016,0\r\n2006-02-21,09:50:00,3791.00,3792.00,3791.00,3791.00,683,0\r\n2006-02-21,09:51:00,3791.00,3792.00,3791.00,3792.00,410,0\r\n2006-02-21,09:52:00,3791.00,3792.00,3791.00,3792.00,45,0\r\n2006-02-21,09:53:00,3792.00,3793.00,3791.00,3792.00,568,0\r\n2006-02-21,09:54:00,3792.00,3792.00,3791.00,3791.00,38,0\r\n2006-02-21,09:55:00,3792.00,3793.00,3791.00,3793.00,629,0\r\n2006-02-21,09:56:00,3793.00,3793.00,3791.00,3792.00,834,0\r\n2006-02-21,09:57:00,3792.00,3793.00,3792.00,3793.00,243,0\r\n2006-02-21,09:58:00,3793.00,3793.00,3791.00,3792.00,942,0\r\n2006-02-21,09:59:00,3792.00,3792.00,3792.00,3792.00,27,0\r\n2006-02-21,10:00:00,3792.00,3793.00,3791.00,3792.00,425,0\r\n2006-02-21,10:01:00,3791.00,3792.00,3791.00,3792.00,904,0\r\n2006-02-21,10:02:00,3793.00,3793.00,3792.00,3792.00,83,0\r\n2006-02-21,10:03:00,3792.00,3794.00,3792.00,3793.00,1221,0\r\n2006-02-21,10:04:00,3793.00,3794.00,3792.00,3793.00,146,0\r\n2006-02-21,10:05:00,3793.00,3794.00,3792.00,3794.00,1067,0\r\n2006-02-21,10:06:00,3794.00,3794.00,3794.00,3794.00,442,0\r\n2006-02-21,10:07:00,3793.00,3795.00,3793.00,3794.00,216,0\r\n2006-02-21,10:08:00,3794.00,3795.00,3794.00,3795.00,403,0\r\n2006-02-21,10:09:00,3795.00,3796.00,3794.00,3795.00,1274,0\r\n2006-02-21,10:10:00,3795.00,3797.00,3795.00,3796.00,1565,0\r\n2006-02-21,10:11:00,3796.00,3797.00,3796.00,3796.00,1374,0\r\n2006-02-21,10:12:00,3796.00,3797.00,3796.00,3796.00,366,0\r\n2006-02-21,10:13:00,3797.00,3798.00,3795.00,3795.00,2020,0\r\n2006-02-21,10:14:00,3796.00,3796.00,3795.00,3795.00,63,0\r\n2006-02-21,10:15:00,3796.00,3796.00,3795.00,3796.00,289,0\r\n2006-02-21,10:16:00,3795.00,3797.00,3795.00,3796.00,932,0\r\n2006-02-21,10:17:00,3796.00,3796.00,3795.00,3796.00,633,0\r\n2006-02-21,10:18:00,3796.00,3796.00,3796.00,3796.00,178,0\r\n2006-02-21,10:19:00,3796.00,3797.00,3796.00,3797.00,2146,0\r\n2006-02-21,10:20:00,3797.00,3798.00,3796.00,3797.00,1942,0\r\n2006-02-21,10:21:00,3797.00,3798.00,3796.00,3797.00,489,0\r\n2006-02-21,10:22:00,3797.00,3797.00,3795.00,3796.00,796,0\r\n2006-02-21,10:23:00,3795.00,3797.00,3795.00,3796.00,372,0\r\n2006-02-21,10:24:00,3796.00,3796.00,3795.00,3795.00,305,0\r\n2006-02-21,10:25:00,3796.00,3797.00,3795.00,3797.00,207,0\r\n2006-02-21,10:26:00,3796.00,3797.00,3795.00,3797.00,564,0\r\n2006-02-21,10:27:00,3796.00,3797.00,3795.00,3795.00,151,0\r\n2006-02-21,10:28:00,3796.00,3796.00,3794.00,3795.00,2364,0\r\n2006-02-21,10:29:00,3795.00,3796.00,3795.00,3796.00,795,0\r\n2006-02-21,10:30:00,3796.00,3797.00,3796.00,3796.00,109,0\r\n2006-02-21,10:31:00,3796.00,3798.00,3796.00,3797.00,994,0\r\n2006-02-21,10:32:00,3796.00,3798.00,3796.00,3798.00,522,0\r\n2006-02-21,10:33:00,3798.00,3799.00,3798.00,3799.00,1355,0\r\n2006-02-21,10:34:00,3799.00,3799.00,3798.00,3799.00,2713,0\r\n2006-02-21,10:35:00,3799.00,3800.00,3798.00,3798.00,1230,0\r\n2006-02-21,10:36:00,3799.00,3799.00,3798.00,3799.00,1070,0\r\n2006-02-21,10:37:00,3799.00,3800.00,3798.00,3799.00,573,0\r\n2006-02-21,10:38:00,3798.00,3799.00,3798.00,3798.00,1455,0\r\n2006-02-21,10:39:00,3798.00,3799.00,3798.00,3799.00,333,0\r\n2006-02-21,10:40:00,3799.00,3800.00,3799.00,3800.00,561,0\r\n2006-02-21,10:41:00,3799.00,3802.00,3799.00,3802.00,2502,0\r\n2006-02-21,10:42:00,3801.00,3802.00,3800.00,3801.00,2242,0\r\n2006-02-21,10:43:00,3801.00,3801.00,3799.00,3800.00,1825,0\r\n2006-02-21,10:44:00,3800.00,3800.00,3799.00,3799.00,937,0\r\n2006-02-21,10:45:00,3799.00,3799.00,3798.00,3799.00,1990,0\r\n2006-02-21,10:46:00,3799.00,3800.00,3799.00,3800.00,502,0\r\n2006-02-21,10:47:00,3800.00,3800.00,3799.00,3799.00,645,0\r\n2006-02-21,10:48:00,3800.00,3801.00,3799.00,3800.00,1901,0\r\n2006-02-21,10:49:00,3800.00,3800.00,3800.00,3800.00,68,0\r\n2006-02-21,10:50:00,3800.00,3801.00,3800.00,3800.00,1028,0\r\n2006-02-21,10:51:00,3800.00,3800.00,3799.00,3800.00,436,0\r\n2006-02-21,10:52:00,3800.00,3802.00,3800.00,3802.00,1803,0\r\n2006-02-21,10:53:00,3802.00,3802.00,3799.00,3800.00,1290,0\r\n2006-02-21,10:54:00,3801.00,3801.00,3800.00,3801.00,452,0\r\n2006-02-21,10:55:00,3801.00,3802.00,3800.00,3802.00,245,0\r\n2006-02-21,10:56:00,3801.00,3801.00,3801.00,3801.00,420,0\r\n2006-02-21,10:57:00,3801.00,3801.00,3800.00,3801.00,423,0\r\n2006-02-21,10:58:00,3801.00,3802.00,3800.00,3801.00,441,0\r\n2006-02-21,10:59:00,3802.00,3803.00,3801.00,3803.00,1526,0\r\n2006-02-21,11:00:00,3802.00,3803.00,3801.00,3803.00,910,0\r\n2006-02-21,11:01:00,3803.00,3804.00,3802.00,3803.00,1595,0\r\n2006-02-21,11:02:00,3803.00,3803.00,3802.00,3803.00,190,0\r\n2006-02-21,11:03:00,3803.00,3804.00,3802.00,3803.00,753,0\r\n2006-02-21,11:04:00,3802.00,3803.00,3801.00,3801.00,1211,0\r\n2006-02-21,11:05:00,3801.00,3802.00,3801.00,3802.00,465,0\r\n2006-02-21,11:06:00,3803.00,3804.00,3802.00,3803.00,1644,0\r\n2006-02-21,11:07:00,3803.00,3805.00,3803.00,3804.00,3432,0\r\n2006-02-21,11:08:00,3804.00,3806.00,3804.00,3805.00,2341,0\r\n2006-02-21,11:09:00,3806.00,3806.00,3805.00,3806.00,861,0\r\n2006-02-21,11:10:00,3805.00,3807.00,3804.00,3806.00,2299,0\r\n2006-02-21,11:11:00,3807.00,3808.00,3806.00,3806.00,3378,0\r\n2006-02-21,11:12:00,3806.00,3806.00,3804.00,3805.00,829,0\r\n2006-02-21,11:13:00,3805.00,3805.00,3803.00,3804.00,2183,0\r\n2006-02-21,11:14:00,3804.00,3805.00,3804.00,3804.00,206,0\r\n2006-02-21,11:15:00,3805.00,3805.00,3803.00,3803.00,1070,0\r\n2006-02-21,11:16:00,3803.00,3803.00,3801.00,3802.00,1673,0\r\n2006-02-21,11:17:00,3802.00,3802.00,3801.00,3801.00,50,0\r\n2006-02-21,11:18:00,3801.00,3803.00,3801.00,3803.00,489,0\r\n2006-02-21,11:19:00,3803.00,3804.00,3801.00,3801.00,1084,0\r\n2006-02-21,11:20:00,3802.00,3802.00,3801.00,3801.00,287,0\r\n2006-02-21,11:21:00,3802.00,3803.00,3801.00,3802.00,497,0\r\n2006-02-21,11:22:00,3802.00,3803.00,3801.00,3802.00,375,0\r\n2006-02-21,11:23:00,3802.00,3803.00,3802.00,3802.00,236,0\r\n2006-02-21,11:24:00,3803.00,3803.00,3802.00,3802.00,78,0\r\n2006-02-21,11:25:00,3802.00,3802.00,3801.00,3802.00,856,0\r\n2006-02-21,11:26:00,3802.00,3803.00,3802.00,3802.00,84,0\r\n2006-02-21,11:27:00,3802.00,3802.00,3802.00,3802.00,221,0\r\n2006-02-21,11:28:00,3802.00,3802.00,3801.00,3801.00,283,0\r\n2006-02-21,11:29:00,3802.00,3802.00,3801.00,3802.00,294,0\r\n2006-02-21,11:30:00,3802.00,3802.00,3802.00,3802.00,448,0\r\n2006-02-21,11:31:00,3802.00,3802.00,3802.00,3802.00,394,0\r\n2006-02-21,11:32:00,3802.00,3802.00,3801.00,3802.00,50,0\r\n2006-02-21,11:33:00,3802.00,3802.00,3802.00,3802.00,940,0\r\n2006-02-21,11:34:00,3802.00,3803.00,3802.00,3802.00,54,0\r\n2006-02-21,11:35:00,3802.00,3802.00,3802.00,3802.00,374,0\r\n2006-02-21,11:36:00,3802.00,3802.00,3801.00,3801.00,26,0\r\n2006-02-21,11:37:00,3802.00,3802.00,3801.00,3801.00,771,0\r\n2006-02-21,11:38:00,3801.00,3802.00,3800.00,3802.00,1355,0\r\n2006-02-21,11:39:00,3802.00,3802.00,3801.00,3801.00,232,0\r\n2006-02-21,11:40:00,3802.00,3802.00,3801.00,3802.00,476,0\r\n2006-02-21,11:41:00,3802.00,3803.00,3802.00,3802.00,272,0\r\n2006-02-21,11:42:00,3801.00,3802.00,3801.00,3802.00,90,0\r\n2006-02-21,11:43:00,3802.00,3802.00,3801.00,3802.00,378,0\r\n2006-02-21,11:44:00,3802.00,3803.00,3802.00,3803.00,392,0\r\n2006-02-21,11:45:00,3803.00,3803.00,3802.00,3802.00,258,0\r\n2006-02-21,11:46:00,3802.00,3803.00,3801.00,3801.00,811,0\r\n2006-02-21,11:47:00,3802.00,3803.00,3801.00,3802.00,412,0\r\n2006-02-21,11:48:00,3803.00,3803.00,3802.00,3803.00,688,0\r\n2006-02-21,11:49:00,3802.00,3802.00,3801.00,3802.00,663,0\r\n2006-02-21,11:50:00,3802.00,3803.00,3802.00,3802.00,159,0\r\n2006-02-21,11:51:00,3802.00,3802.00,3801.00,3801.00,349,0\r\n2006-02-21,11:52:00,3801.00,3802.00,3800.00,3801.00,1830,0\r\n2006-02-21,11:53:00,3800.00,3801.00,3798.00,3798.00,1716,0\r\n2006-02-21,11:54:00,3798.00,3801.00,3798.00,3800.00,1006,0\r\n2006-02-21,11:55:00,3799.00,3800.00,3799.00,3800.00,212,0\r\n2006-02-21,11:56:00,3799.00,3800.00,3799.00,3800.00,291,0\r\n2006-02-21,11:57:00,3800.00,3800.00,3799.00,3799.00,230,0\r\n2006-02-21,11:58:00,3800.00,3800.00,3799.00,3800.00,156,0\r\n2006-02-21,11:59:00,3800.00,3801.00,3800.00,3801.00,930,0\r\n2006-02-21,12:00:00,3801.00,3801.00,3800.00,3800.00,476,0\r\n2006-02-21,12:01:00,3800.00,3800.00,3799.00,3800.00,553,0\r\n2006-02-21,12:02:00,3800.00,3800.00,3800.00,3800.00,3,0\r\n2006-02-21,12:03:00,3801.00,3802.00,3800.00,3802.00,505,0\r\n2006-02-21,12:04:00,3801.00,3802.00,3801.00,3801.00,334,0\r\n2006-02-21,12:05:00,3801.00,3801.00,3800.00,3800.00,287,0\r\n2006-02-21,12:06:00,3800.00,3801.00,3800.00,3801.00,163,0\r\n2006-02-21,12:07:00,3801.00,3801.00,3800.00,3801.00,632,0\r\n2006-02-21,12:08:00,3801.00,3802.00,3801.00,3802.00,656,0\r\n2006-02-21,12:09:00,3801.00,3802.00,3801.00,3802.00,1136,0\r\n2006-02-21,12:10:00,3802.00,3802.00,3801.00,3801.00,138,0\r\n2006-02-21,12:11:00,3801.00,3802.00,3801.00,3802.00,14,0\r\n2006-02-21,12:12:00,3801.00,3802.00,3801.00,3802.00,336,0\r\n2006-02-21,12:13:00,3802.00,3802.00,3802.00,3802.00,91,0\r\n2006-02-21,12:14:00,3801.00,3801.00,3801.00,3801.00,361,0\r\n2006-02-21,12:15:00,3801.00,3801.00,3800.00,3800.00,229,0\r\n2006-02-21,12:16:00,3800.00,3801.00,3800.00,3801.00,8,0\r\n2006-02-21,12:17:00,3800.00,3800.00,3800.00,3800.00,10,0\r\n2006-02-21,12:18:00,3800.00,3801.00,3800.00,3800.00,446,0\r\n2006-02-21,12:19:00,3800.00,3801.00,3800.00,3800.00,22,0\r\n2006-02-21,12:20:00,3801.00,3801.00,3800.00,3800.00,153,0\r\n2006-02-21,12:21:00,3800.00,3801.00,3799.00,3800.00,680,0\r\n2006-02-21,12:22:00,3800.00,3800.00,3799.00,3799.00,9,0\r\n2006-02-21,12:23:00,3800.00,3800.00,3799.00,3800.00,84,0\r\n2006-02-21,12:24:00,3799.00,3800.00,3799.00,3799.00,12,0\r\n2006-02-21,12:25:00,3800.00,3800.00,3799.00,3799.00,286,0\r\n2006-02-21,12:26:00,3800.00,3800.00,3800.00,3800.00,2,0\r\n2006-02-21,12:27:00,3800.00,3800.00,3800.00,3800.00,151,0\r\n2006-02-21,12:28:00,3800.00,3800.00,3799.00,3799.00,2210,0\r\n2006-02-21,12:29:00,3800.00,3800.00,3800.00,3800.00,722,0\r\n2006-02-21,12:30:00,3801.00,3801.00,3800.00,3801.00,713,0\r\n2006-02-21,12:31:00,3800.00,3800.00,3800.00,3800.00,996,0\r\n2006-02-21,12:32:00,3800.00,3800.00,3800.00,3800.00,594,0\r\n2006-02-21,12:33:00,3799.00,3800.00,3799.00,3800.00,337,0\r\n2006-02-21,12:34:00,3799.00,3800.00,3798.00,3799.00,2563,0\r\n2006-02-21,12:35:00,3799.00,3799.00,3799.00,3799.00,350,0\r\n2006-02-21,12:36:00,3800.00,3800.00,3799.00,3799.00,168,0\r\n2006-02-21,12:37:00,3799.00,3799.00,3799.00,3799.00,49,0\r\n2006-02-21,12:38:00,3799.00,3800.00,3799.00,3799.00,278,0\r\n2006-02-21,12:39:00,3799.00,3800.00,3799.00,3799.00,24,0\r\n2006-02-21,12:40:00,3799.00,3800.00,3799.00,3799.00,182,0\r\n2006-02-21,12:41:00,3799.00,3799.00,3798.00,3798.00,508,0\r\n2006-02-21,12:42:00,3798.00,3799.00,3798.00,3799.00,336,0\r\n2006-02-21,12:43:00,3798.00,3799.00,3798.00,3799.00,106,0\r\n2006-02-21,12:44:00,3798.00,3798.00,3798.00,3798.00,7,0\r\n2006-02-21,12:45:00,3798.00,3799.00,3798.00,3798.00,885,0\r\n2006-02-21,12:46:00,3799.00,3799.00,3798.00,3799.00,78,0\r\n2006-02-21,12:47:00,3799.00,3799.00,3798.00,3799.00,613,0\r\n2006-02-21,12:48:00,3798.00,3799.00,3798.00,3799.00,183,0\r\n2006-02-21,12:49:00,3799.00,3800.00,3799.00,3799.00,12,0\r\n2006-02-21,12:50:00,3799.00,3799.00,3799.00,3799.00,45,0\r\n2006-02-21,12:51:00,3799.00,3800.00,3799.00,3800.00,219,0\r\n2006-02-21,12:52:00,3800.00,3800.00,3799.00,3799.00,11,0\r\n2006-02-21,12:53:00,3800.00,3800.00,3799.00,3800.00,178,0\r\n2006-02-21,12:54:00,3799.00,3799.00,3799.00,3799.00,37,0\r\n2006-02-21,12:55:00,3799.00,3800.00,3799.00,3800.00,609,0\r\n2006-02-21,12:56:00,3799.00,3799.00,3799.00,3799.00,168,0\r\n2006-02-21,12:57:00,3799.00,3800.00,3799.00,3799.00,6,0\r\n2006-02-21,12:58:00,3800.00,3800.00,3800.00,3800.00,591,0\r\n2006-02-21,12:59:00,3800.00,3800.00,3800.00,3800.00,70,0\r\n2006-02-21,13:00:00,3799.00,3800.00,3799.00,3799.00,118,0\r\n2006-02-21,13:01:00,3799.00,3799.00,3799.00,3799.00,250,0\r\n2006-02-21,13:02:00,3799.00,3800.00,3799.00,3799.00,19,0\r\n2006-02-21,13:04:00,3800.00,3800.00,3800.00,3800.00,58,0\r\n2006-02-21,13:05:00,3800.00,3800.00,3799.00,3799.00,9,0\r\n2006-02-21,13:06:00,3800.00,3800.00,3799.00,3800.00,37,0\r\n2006-02-21,13:07:00,3799.00,3800.00,3799.00,3799.00,146,0\r\n2006-02-21,13:08:00,3800.00,3800.00,3800.00,3800.00,451,0\r\n2006-02-21,13:09:00,3800.00,3800.00,3800.00,3800.00,315,0\r\n2006-02-21,13:10:00,3800.00,3801.00,3800.00,3801.00,83,0\r\n2006-02-21,13:11:00,3800.00,3800.00,3799.00,3799.00,202,0\r\n2006-02-21,13:12:00,3800.00,3800.00,3800.00,3800.00,2,0\r\n2006-02-21,13:13:00,3799.00,3800.00,3799.00,3800.00,8,0\r\n2006-02-21,13:14:00,3799.00,3800.00,3799.00,3799.00,107,0\r\n2006-02-21,13:15:00,3799.00,3799.00,3798.00,3798.00,635,0\r\n2006-02-21,13:16:00,3799.00,3799.00,3799.00,3799.00,93,0\r\n2006-02-21,13:17:00,3799.00,3800.00,3799.00,3799.00,42,0\r\n2006-02-21,13:18:00,3799.00,3800.00,3799.00,3799.00,241,0\r\n2006-02-21,13:19:00,3799.00,3799.00,3799.00,3799.00,70,0\r\n2006-02-21,13:20:00,3799.00,3799.00,3799.00,3799.00,280,0\r\n2006-02-21,13:21:00,3799.00,3800.00,3799.00,3799.00,68,0\r\n2006-02-21,13:22:00,3800.00,3800.00,3800.00,3800.00,2,0\r\n2006-02-21,13:23:00,3800.00,3800.00,3800.00,3800.00,19,0\r\n2006-02-21,13:24:00,3799.00,3799.00,3799.00,3799.00,203,0\r\n2006-02-21,13:25:00,3799.00,3799.00,3799.00,3799.00,99,0\r\n2006-02-21,13:26:00,3799.00,3799.00,3799.00,3799.00,1,0\r\n2006-02-21,13:27:00,3800.00,3800.00,3799.00,3799.00,3,0\r\n2006-02-21,13:28:00,3800.00,3800.00,3799.00,3800.00,151,0\r\n2006-02-21,13:29:00,3800.00,3800.00,3799.00,3799.00,261,0\r\n2006-02-21,13:30:00,3799.00,3800.00,3799.00,3800.00,102,0\r\n2006-02-21,13:31:00,3799.00,3800.00,3799.00,3800.00,386,0\r\n2006-02-21,13:32:00,3799.00,3799.00,3799.00,3799.00,2,0\r\n2006-02-21,13:34:00,3799.00,3800.00,3799.00,3800.00,2,0\r\n2006-02-21,13:35:00,3799.00,3800.00,3799.00,3800.00,1010,0\r\n2006-02-21,13:36:00,3799.00,3800.00,3799.00,3799.00,8,0\r\n2006-02-21,13:38:00,3799.00,3799.00,3799.00,3799.00,500,0\r\n2006-02-21,13:39:00,3798.00,3799.00,3798.00,3798.00,181,0\r\n2006-02-21,13:40:00,3798.00,3799.00,3798.00,3799.00,300,0\r\n2006-02-21,13:41:00,3798.00,3798.00,3798.00,3798.00,135,0\r\n2006-02-21,13:42:00,3799.00,3799.00,3798.00,3799.00,276,0\r\n2006-02-21,13:43:00,3799.00,3799.00,3798.00,3799.00,22,0\r\n2006-02-21,13:44:00,3798.00,3798.00,3798.00,3798.00,258,0\r\n2006-02-21,13:45:00,3798.00,3798.00,3798.00,3798.00,258,0\r\n2006-02-21,13:46:00,3798.00,3799.00,3798.00,3799.00,45,0\r\n2006-02-21,13:47:00,3798.00,3799.00,3798.00,3799.00,302,0\r\n2006-02-21,13:48:00,3798.00,3798.00,3798.00,3798.00,602,0\r\n2006-02-21,13:49:00,3798.00,3798.00,3798.00,3798.00,72,0\r\n2006-02-21,13:50:00,3799.00,3799.00,3798.00,3798.00,34,0\r\n2006-02-21,13:51:00,3799.00,3799.00,3798.00,3798.00,65,0\r\n2006-02-21,13:52:00,3798.00,3799.00,3798.00,3799.00,2171,0\r\n2006-02-21,13:53:00,3799.00,3799.00,3797.00,3797.00,365,0\r\n2006-02-21,13:54:00,3798.00,3798.00,3797.00,3797.00,273,0\r\n2006-02-21,13:55:00,3798.00,3798.00,3797.00,3797.00,142,0\r\n2006-02-21,13:56:00,3798.00,3799.00,3798.00,3798.00,248,0\r\n2006-02-21,13:57:00,3798.00,3798.00,3798.00,3798.00,133,0\r\n2006-02-21,13:58:00,3798.00,3799.00,3798.00,3798.00,210,0\r\n2006-02-21,13:59:00,3799.00,3799.00,3798.00,3798.00,53,0\r\n2006-02-21,14:00:00,3799.00,3799.00,3799.00,3799.00,260,0\r\n2006-02-21,14:01:00,3798.00,3799.00,3798.00,3799.00,158,0\r\n2006-02-21,14:02:00,3798.00,3799.00,3798.00,3799.00,30,0\r\n2006-02-21,14:03:00,3799.00,3799.00,3798.00,3798.00,86,0\r\n2006-02-21,14:04:00,3798.00,3799.00,3798.00,3798.00,251,0\r\n2006-02-21,14:05:00,3799.00,3799.00,3798.00,3799.00,91,0\r\n2006-02-21,14:06:00,3799.00,3799.00,3799.00,3799.00,12,0\r\n2006-02-21,14:07:00,3799.00,3800.00,3799.00,3800.00,930,0\r\n2006-02-21,14:08:00,3800.00,3800.00,3799.00,3799.00,57,0\r\n2006-02-21,14:09:00,3799.00,3800.00,3799.00,3799.00,355,0\r\n2006-02-21,14:10:00,3799.00,3799.00,3799.00,3799.00,122,0\r\n2006-02-21,14:11:00,3799.00,3799.00,3796.00,3796.00,1942,0\r\n2006-02-21,14:12:00,3796.00,3798.00,3796.00,3798.00,1046,0\r\n2006-02-21,14:13:00,3798.00,3798.00,3797.00,3798.00,66,0\r\n2006-02-21,14:14:00,3798.00,3798.00,3796.00,3797.00,221,0\r\n2006-02-21,14:15:00,3797.00,3797.00,3796.00,3796.00,295,0\r\n2006-02-21,14:16:00,3797.00,3797.00,3796.00,3796.00,204,0\r\n2006-02-21,14:17:00,3797.00,3797.00,3797.00,3797.00,206,0\r\n2006-02-21,14:18:00,3796.00,3797.00,3796.00,3796.00,197,0\r\n2006-02-21,14:19:00,3797.00,3797.00,3795.00,3796.00,616,0\r\n2006-02-21,14:20:00,3795.00,3797.00,3795.00,3797.00,130,0\r\n2006-02-21,14:21:00,3797.00,3797.00,3796.00,3797.00,16,0\r\n2006-02-21,14:22:00,3796.00,3797.00,3796.00,3797.00,34,0\r\n2006-02-21,14:23:00,3797.00,3797.00,3795.00,3795.00,418,0\r\n2006-02-21,14:24:00,3796.00,3797.00,3796.00,3797.00,270,0\r\n2006-02-21,14:25:00,3797.00,3797.00,3796.00,3797.00,15,0\r\n2006-02-21,14:26:00,3797.00,3797.00,3797.00,3797.00,114,0\r\n2006-02-21,14:27:00,3797.00,3797.00,3796.00,3797.00,344,0\r\n2006-02-21,14:28:00,3797.00,3798.00,3797.00,3798.00,278,0\r\n2006-02-21,14:29:00,3798.00,3798.00,3797.00,3797.00,95,0\r\n2006-02-21,14:30:00,3797.00,3798.00,3796.00,3797.00,133,0\r\n2006-02-21,14:31:00,3797.00,3798.00,3797.00,3797.00,123,0\r\n2006-02-21,14:32:00,3798.00,3798.00,3797.00,3797.00,237,0\r\n2006-02-21,14:33:00,3797.00,3797.00,3796.00,3796.00,633,0\r\n2006-02-21,14:34:00,3797.00,3798.00,3796.00,3796.00,278,0\r\n2006-02-21,14:35:00,3797.00,3797.00,3796.00,3797.00,211,0\r\n2006-02-21,14:36:00,3797.00,3797.00,3796.00,3797.00,165,0\r\n2006-02-21,14:37:00,3797.00,3797.00,3796.00,3797.00,220,0\r\n2006-02-21,14:38:00,3798.00,3798.00,3797.00,3797.00,62,0\r\n2006-02-21,14:39:00,3798.00,3798.00,3797.00,3797.00,130,0\r\n2006-02-21,14:40:00,3797.00,3797.00,3796.00,3797.00,575,0\r\n2006-02-21,14:41:00,3797.00,3797.00,3797.00,3797.00,46,0\r\n2006-02-21,14:42:00,3797.00,3797.00,3796.00,3796.00,162,0\r\n2006-02-21,14:43:00,3797.00,3798.00,3797.00,3798.00,68,0\r\n2006-02-21,14:44:00,3798.00,3799.00,3798.00,3798.00,1800,0\r\n2006-02-21,14:45:00,3797.00,3798.00,3797.00,3798.00,1147,0\r\n2006-02-21,14:46:00,3798.00,3798.00,3797.00,3798.00,78,0\r\n2006-02-21,14:47:00,3798.00,3798.00,3797.00,3798.00,126,0\r\n2006-02-21,14:48:00,3798.00,3798.00,3797.00,3798.00,343,0\r\n2006-02-21,14:49:00,3798.00,3798.00,3797.00,3798.00,2021,0\r\n2006-02-21,14:50:00,3798.00,3798.00,3798.00,3798.00,3,0\r\n2006-02-21,14:51:00,3797.00,3798.00,3797.00,3798.00,50,0\r\n2006-02-21,14:52:00,3798.00,3798.00,3797.00,3798.00,494,0\r\n2006-02-21,14:53:00,3798.00,3799.00,3797.00,3797.00,1880,0\r\n2006-02-21,14:54:00,3797.00,3797.00,3796.00,3797.00,297,0\r\n2006-02-21,14:55:00,3796.00,3799.00,3796.00,3799.00,2063,0\r\n2006-02-21,14:56:00,3799.00,3799.00,3798.00,3799.00,617,0\r\n2006-02-21,14:57:00,3798.00,3799.00,3798.00,3799.00,5,0\r\n2006-02-21,14:58:00,3798.00,3799.00,3798.00,3798.00,399,0\r\n2006-02-21,14:59:00,3798.00,3799.00,3798.00,3799.00,263,0\r\n2006-02-21,15:00:00,3799.00,3799.00,3798.00,3798.00,213,0\r\n2006-02-21,15:01:00,3798.00,3799.00,3798.00,3798.00,328,0\r\n2006-02-21,15:02:00,3799.00,3799.00,3798.00,3798.00,21,0\r\n2006-02-21,15:03:00,3798.00,3799.00,3797.00,3799.00,1189,0\r\n2006-02-21,15:04:00,3798.00,3800.00,3798.00,3799.00,386,0\r\n2006-02-21,15:05:00,3799.00,3799.00,3798.00,3799.00,509,0\r\n2006-02-21,15:06:00,3799.00,3799.00,3798.00,3798.00,47,0\r\n2006-02-21,15:07:00,3798.00,3799.00,3797.00,3797.00,735,0\r\n2006-02-21,15:08:00,3798.00,3798.00,3797.00,3797.00,179,0\r\n2006-02-21,15:09:00,3798.00,3798.00,3797.00,3798.00,14,0\r\n2006-02-21,15:10:00,3797.00,3798.00,3797.00,3798.00,3,0\r\n2006-02-21,15:11:00,3797.00,3797.00,3797.00,3797.00,51,0\r\n2006-02-21,15:12:00,3798.00,3798.00,3798.00,3798.00,17,0\r\n2006-02-21,15:13:00,3798.00,3798.00,3798.00,3798.00,8,0\r\n2006-02-21,15:14:00,3797.00,3798.00,3797.00,3798.00,117,0\r\n2006-02-21,15:15:00,3798.00,3798.00,3798.00,3798.00,1,0\r\n2006-02-21,15:16:00,3797.00,3797.00,3797.00,3797.00,2,0\r\n2006-02-21,15:17:00,3797.00,3798.00,3797.00,3797.00,244,0\r\n2006-02-21,15:18:00,3798.00,3798.00,3797.00,3798.00,324,0\r\n2006-02-21,15:19:00,3798.00,3799.00,3798.00,3799.00,191,0\r\n2006-02-21,15:20:00,3799.00,3799.00,3798.00,3799.00,61,0\r\n2006-02-21,15:21:00,3799.00,3799.00,3798.00,3798.00,11,0\r\n2006-02-21,15:22:00,3798.00,3799.00,3798.00,3799.00,81,0\r\n2006-02-21,15:23:00,3798.00,3798.00,3798.00,3798.00,50,0\r\n2006-02-21,15:24:00,3798.00,3799.00,3797.00,3797.00,436,0\r\n2006-02-21,15:25:00,3798.00,3798.00,3797.00,3797.00,52,0\r\n2006-02-21,15:26:00,3797.00,3798.00,3797.00,3797.00,93,0\r\n2006-02-21,15:27:00,3797.00,3798.00,3797.00,3798.00,76,0\r\n2006-02-21,15:28:00,3798.00,3798.00,3797.00,3798.00,42,0\r\n2006-02-21,15:29:00,3798.00,3798.00,3797.00,3798.00,322,0\r\n2006-02-21,15:30:00,3799.00,3799.00,3798.00,3798.00,125,0\r\n2006-02-21,15:31:00,3799.00,3799.00,3799.00,3799.00,100,0\r\n2006-02-21,15:32:00,3799.00,3800.00,3799.00,3799.00,400,0\r\n2006-02-21,15:33:00,3799.00,3801.00,3799.00,3801.00,677,0\r\n2006-02-21,15:34:00,3800.00,3800.00,3798.00,3798.00,548,0\r\n2006-02-21,15:35:00,3799.00,3799.00,3799.00,3799.00,306,0\r\n2006-02-21,15:36:00,3800.00,3800.00,3799.00,3799.00,763,0\r\n2006-02-21,15:37:00,3799.00,3799.00,3798.00,3799.00,342,0\r\n2006-02-21,15:38:00,3799.00,3799.00,3798.00,3799.00,1215,0\r\n2006-02-21,15:39:00,3798.00,3799.00,3797.00,3797.00,819,0\r\n2006-02-21,15:40:00,3798.00,3801.00,3798.00,3801.00,1828,0\r\n2006-02-21,15:41:00,3801.00,3803.00,3800.00,3801.00,2279,0\r\n2006-02-21,15:42:00,3802.00,3802.00,3801.00,3802.00,401,0\r\n2006-02-21,15:43:00,3802.00,3803.00,3801.00,3803.00,2252,0\r\n2006-02-21,15:44:00,3803.00,3804.00,3802.00,3802.00,1558,0\r\n2006-02-21,15:45:00,3802.00,3803.00,3802.00,3802.00,60,0\r\n2006-02-21,15:46:00,3802.00,3803.00,3802.00,3803.00,1423,0\r\n2006-02-21,15:47:00,3803.00,3803.00,3801.00,3801.00,1424,0\r\n2006-02-21,15:48:00,3801.00,3801.00,3799.00,3800.00,2064,0\r\n2006-02-21,15:49:00,3801.00,3801.00,3800.00,3800.00,1013,0\r\n2006-02-21,15:50:00,3801.00,3801.00,3799.00,3800.00,708,0\r\n2006-02-21,15:51:00,3800.00,3801.00,3799.00,3799.00,597,0\r\n2006-02-21,15:52:00,3800.00,3800.00,3798.00,3798.00,1002,0\r\n2006-02-21,15:53:00,3799.00,3799.00,3797.00,3797.00,1850,0\r\n2006-02-21,15:54:00,3797.00,3798.00,3796.00,3797.00,2224,0\r\n2006-02-21,15:55:00,3797.00,3798.00,3797.00,3797.00,1024,0\r\n2006-02-21,15:56:00,3798.00,3799.00,3797.00,3798.00,1671,0\r\n2006-02-21,15:57:00,3798.00,3798.00,3797.00,3798.00,595,0\r\n2006-02-21,15:58:00,3798.00,3798.00,3796.00,3796.00,873,0\r\n2006-02-21,15:59:00,3796.00,3796.00,3794.00,3796.00,2248,0\r\n2006-02-21,16:00:00,3795.00,3796.00,3794.00,3795.00,1149,0\r\n2006-02-21,16:01:00,3795.00,3797.00,3795.00,3796.00,2847,0\r\n2006-02-21,16:02:00,3796.00,3799.00,3795.00,3799.00,2073,0\r\n2006-02-21,16:03:00,3798.00,3799.00,3797.00,3798.00,1579,0\r\n2006-02-21,16:04:00,3798.00,3799.00,3796.00,3796.00,1614,0\r\n2006-02-21,16:05:00,3795.00,3796.00,3793.00,3794.00,2640,0\r\n2006-02-21,16:06:00,3794.00,3794.00,3792.00,3793.00,2240,0\r\n2006-02-21,16:07:00,3793.00,3795.00,3793.00,3794.00,1064,0\r\n2006-02-21,16:08:00,3795.00,3795.00,3793.00,3794.00,1028,0\r\n2006-02-21,16:09:00,3793.00,3794.00,3792.00,3792.00,1905,0\r\n2006-02-21,16:10:00,3792.00,3794.00,3792.00,3793.00,1293,0\r\n2006-02-21,16:11:00,3793.00,3793.00,3791.00,3792.00,1349,0\r\n2006-02-21,16:12:00,3792.00,3793.00,3791.00,3792.00,1026,0\r\n2006-02-21,16:13:00,3792.00,3792.00,3787.00,3787.00,4779,0\r\n2006-02-21,16:14:00,3787.00,3788.00,3783.00,3784.00,6073,0\r\n2006-02-21,16:15:00,3784.00,3785.00,3782.00,3784.00,4110,0\r\n2006-02-21,16:16:00,3783.00,3785.00,3783.00,3783.00,5248,0\r\n2006-02-21,16:17:00,3784.00,3785.00,3783.00,3785.00,1951,0\r\n2006-02-21,16:18:00,3784.00,3785.00,3781.00,3782.00,5437,0\r\n2006-02-21,16:19:00,3783.00,3783.00,3778.00,3779.00,4775,0\r\n2006-02-21,16:20:00,3779.00,3782.00,3779.00,3782.00,4034,0\r\n2006-02-21,16:21:00,3781.00,3782.00,3780.00,3780.00,3636,0\r\n2006-02-21,16:22:00,3780.00,3782.00,3779.00,3780.00,2738,0\r\n2006-02-21,16:23:00,3779.00,3780.00,3777.00,3778.00,2706,0\r\n2006-02-21,16:24:00,3779.00,3782.00,3779.00,3782.00,3251,0\r\n2006-02-21,16:25:00,3781.00,3782.00,3777.00,3779.00,5280,0\r\n2006-02-21,16:26:00,3778.00,3780.00,3778.00,3779.00,1400,0\r\n2006-02-21,16:27:00,3779.00,3779.00,3776.00,3776.00,4129,0\r\n2006-02-21,16:28:00,3776.00,3777.00,3773.00,3775.00,7201,0\r\n2006-02-21,16:29:00,3775.00,3778.00,3775.00,3777.00,2495,0\r\n2006-02-21,16:30:00,3777.00,3780.00,3777.00,3780.00,3571,0\r\n2006-02-21,16:31:00,3779.00,3780.00,3778.00,3778.00,1864,0\r\n2006-02-21,16:32:00,3779.00,3780.00,3778.00,3780.00,1346,0\r\n2006-02-21,16:33:00,3779.00,3781.00,3779.00,3779.00,5569,0\r\n2006-02-21,16:34:00,3780.00,3781.00,3778.00,3779.00,2093,0\r\n2006-02-21,16:35:00,3779.00,3779.00,3778.00,3778.00,1451,0\r\n2006-02-21,16:36:00,3778.00,3779.00,3777.00,3779.00,1352,0\r\n2006-02-21,16:37:00,3779.00,3779.00,3776.00,3776.00,2364,0\r\n2006-02-21,16:38:00,3775.00,3776.00,3774.00,3775.00,2533,0\r\n2006-02-21,16:39:00,3775.00,3775.00,3772.00,3774.00,3759,0\r\n2006-02-21,16:40:00,3774.00,3776.00,3773.00,3775.00,2226,0\r\n2006-02-21,16:41:00,3776.00,3778.00,3776.00,3777.00,1333,0\r\n2006-02-21,16:42:00,3777.00,3780.00,3777.00,3779.00,3326,0\r\n2006-02-21,16:43:00,3779.00,3781.00,3779.00,3781.00,1968,0\r\n2006-02-21,16:44:00,3780.00,3782.00,3779.00,3782.00,2842,0\r\n2006-02-21,16:45:00,3781.00,3783.00,3781.00,3782.00,2495,0\r\n2006-02-21,16:46:00,3782.00,3783.00,3780.00,3781.00,1547,0\r\n2006-02-21,16:47:00,3781.00,3782.00,3781.00,3781.00,725,0\r\n2006-02-21,16:48:00,3780.00,3782.00,3780.00,3781.00,1616,0\r\n2006-02-21,16:49:00,3781.00,3781.00,3780.00,3781.00,381,0\r\n2006-02-21,16:50:00,3781.00,3782.00,3779.00,3780.00,1608,0\r\n2006-02-21,16:51:00,3780.00,3781.00,3780.00,3781.00,494,0\r\n2006-02-21,16:52:00,3781.00,3783.00,3781.00,3783.00,1099,0\r\n2006-02-21,16:53:00,3782.00,3785.00,3782.00,3785.00,4161,0\r\n2006-02-21,16:54:00,3784.00,3785.00,3784.00,3784.00,1733,0\r\n2006-02-21,16:55:00,3784.00,3785.00,3784.00,3784.00,1427,0\r\n2006-02-21,16:56:00,3784.00,3784.00,3781.00,3781.00,1569,0\r\n2006-02-21,16:57:00,3782.00,3782.00,3781.00,3781.00,2334,0\r\n2006-02-21,16:58:00,3782.00,3782.00,3780.00,3780.00,1369,0\r\n2006-02-21,16:59:00,3781.00,3781.00,3780.00,3780.00,1865,0\r\n2006-02-21,17:00:00,3780.00,3781.00,3778.00,3778.00,1408,0\r\n2006-02-21,17:01:00,3778.00,3779.00,3777.00,3778.00,2517,0\r\n2006-02-21,17:02:00,3779.00,3780.00,3778.00,3780.00,1563,0\r\n2006-02-21,17:03:00,3781.00,3782.00,3780.00,3781.00,1175,0\r\n2006-02-21,17:04:00,3780.00,3780.00,3778.00,3778.00,864,0\r\n2006-02-21,17:05:00,3779.00,3780.00,3779.00,3779.00,392,0\r\n2006-02-21,17:06:00,3779.00,3781.00,3779.00,3780.00,1059,0\r\n2006-02-21,17:07:00,3780.00,3780.00,3779.00,3780.00,56,0\r\n2006-02-21,17:08:00,3781.00,3785.00,3780.00,3784.00,2339,0\r\n2006-02-21,17:09:00,3784.00,3785.00,3784.00,3784.00,2457,0\r\n2006-02-21,17:10:00,3785.00,3785.00,3784.00,3784.00,804,0\r\n2006-02-21,17:11:00,3784.00,3786.00,3784.00,3785.00,2416,0\r\n2006-02-21,17:12:00,3785.00,3785.00,3784.00,3785.00,1522,0\r\n2006-02-21,17:13:00,3785.00,3786.00,3784.00,3784.00,542,0\r\n2006-02-21,17:14:00,3785.00,3785.00,3784.00,3784.00,414,0\r\n2006-02-21,17:15:00,3785.00,3785.00,3784.00,3784.00,744,0\r\n2006-02-21,17:16:00,3785.00,3785.00,3784.00,3784.00,737,0\r\n2006-02-21,17:17:00,3785.00,3786.00,3784.00,3785.00,1319,0\r\n2006-02-21,17:18:00,3785.00,3787.00,3785.00,3786.00,1626,0\r\n2006-02-21,17:19:00,3786.00,3787.00,3786.00,3787.00,424,0\r\n2006-02-21,17:20:00,3787.00,3788.00,3787.00,3788.00,2146,0\r\n2006-02-21,17:21:00,3787.00,3788.00,3787.00,3787.00,1619,0\r\n2006-02-21,17:22:00,3787.00,3788.00,3787.00,3787.00,920,0\r\n2006-02-21,17:23:00,3787.00,3788.00,3786.00,3787.00,1053,0\r\n2006-02-21,17:24:00,3786.00,3787.00,3786.00,3787.00,351,0\r\n2006-02-21,17:25:00,3787.00,3787.00,3785.00,3786.00,1612,0\r\n2006-02-21,17:26:00,3787.00,3787.00,3786.00,3786.00,477,0\r\n2006-02-21,17:27:00,3787.00,3789.00,3786.00,3789.00,1822,0\r\n2006-02-21,17:28:00,3789.00,3789.00,3788.00,3788.00,2004,0\r\n2006-02-21,17:29:00,3789.00,3789.00,3787.00,3788.00,3400,0\r\n2006-02-21,17:30:00,3788.00,3789.00,3786.00,3788.00,6174,0\r\n2006-02-21,17:31:00,3788.00,3789.00,3785.00,3786.00,6270,0\r\n2006-02-21,17:32:00,3787.00,3787.00,3786.00,3787.00,1180,0\r\n2006-02-21,17:33:00,3787.00,3788.00,3787.00,3788.00,384,0\r\n2006-02-21,17:34:00,3787.00,3788.00,3786.00,3787.00,579,0\r\n2006-02-21,17:35:00,3788.00,3788.00,3786.00,3787.00,1142,0\r\n2006-02-21,17:36:00,3787.00,3787.00,3786.00,3786.00,389,0\r\n2006-02-21,17:37:00,3786.00,3787.00,3785.00,3786.00,2103,0\r\n2006-02-21,17:38:00,3786.00,3786.00,3785.00,3785.00,421,0\r\n2006-02-21,17:39:00,3786.00,3786.00,3782.00,3782.00,1522,0\r\n2006-02-21,17:40:00,3782.00,3784.00,3781.00,3783.00,2959,0\r\n2006-02-21,17:41:00,3783.00,3783.00,3781.00,3781.00,1461,0\r\n2006-02-21,17:42:00,3781.00,3783.00,3781.00,3783.00,912,0\r\n2006-02-21,17:43:00,3782.00,3783.00,3781.00,3781.00,504,0\r\n2006-02-21,17:44:00,3781.00,3781.00,3780.00,3781.00,948,0\r\n2006-02-21,17:45:00,3781.00,3782.00,3780.00,3781.00,803,0\r\n2006-02-21,17:46:00,3781.00,3781.00,3780.00,3780.00,730,0\r\n2006-02-21,17:47:00,3780.00,3781.00,3780.00,3781.00,442,0\r\n2006-02-21,17:48:00,3780.00,3780.00,3779.00,3779.00,557,0\r\n2006-02-21,17:49:00,3779.00,3780.00,3778.00,3779.00,769,0\r\n2006-02-21,17:50:00,3778.00,3778.00,3777.00,3777.00,980,0\r\n2006-02-21,17:51:00,3777.00,3777.00,3776.00,3776.00,2195,0\r\n2006-02-21,17:52:00,3777.00,3777.00,3776.00,3776.00,132,0\r\n2006-02-21,17:53:00,3777.00,3778.00,3777.00,3778.00,765,0\r\n2006-02-21,17:54:00,3778.00,3778.00,3776.00,3777.00,516,0\r\n2006-02-21,17:55:00,3778.00,3778.00,3776.00,3777.00,897,0\r\n2006-02-21,17:56:00,3777.00,3777.00,3775.00,3776.00,644,0\r\n2006-02-21,17:57:00,3775.00,3777.00,3775.00,3777.00,1268,0\r\n2006-02-21,17:58:00,3776.00,3776.00,3774.00,3774.00,898,0\r\n2006-02-21,17:59:00,3774.00,3776.00,3773.00,3776.00,1918,0\r\n2006-02-21,18:00:00,3776.00,3776.00,3775.00,3775.00,331,0\r\n2006-02-21,18:01:00,3775.00,3776.00,3773.00,3774.00,1261,0\r\n2006-02-21,18:02:00,3774.00,3775.00,3773.00,3775.00,529,0\r\n2006-02-21,18:03:00,3775.00,3775.00,3773.00,3774.00,1119,0\r\n2006-02-21,18:04:00,3774.00,3774.00,3773.00,3773.00,228,0\r\n2006-02-21,18:05:00,3773.00,3774.00,3772.00,3773.00,802,0\r\n2006-02-21,18:06:00,3773.00,3776.00,3772.00,3775.00,1568,0\r\n2006-02-21,18:07:00,3775.00,3776.00,3775.00,3775.00,172,0\r\n2006-02-21,18:08:00,3775.00,3777.00,3775.00,3777.00,358,0\r\n2006-02-21,18:09:00,3777.00,3777.00,3776.00,3777.00,548,0\r\n2006-02-21,18:10:00,3777.00,3777.00,3776.00,3777.00,246,0\r\n2006-02-21,18:11:00,3777.00,3778.00,3777.00,3778.00,199,0\r\n2006-02-21,18:12:00,3777.00,3778.00,3775.00,3776.00,1133,0\r\n2006-02-21,18:13:00,3776.00,3776.00,3775.00,3775.00,41,0\r\n2006-02-21,18:14:00,3776.00,3776.00,3776.00,3776.00,225,0\r\n2006-02-21,18:15:00,3777.00,3778.00,3776.00,3778.00,256,0\r\n2006-02-21,18:16:00,3779.00,3779.00,3776.00,3778.00,400,0\r\n2006-02-21,18:17:00,3778.00,3779.00,3778.00,3778.00,321,0\r\n2006-02-21,18:18:00,3778.00,3779.00,3778.00,3779.00,269,0\r\n2006-02-21,18:19:00,3778.00,3778.00,3777.00,3778.00,260,0\r\n2006-02-21,18:20:00,3778.00,3778.00,3778.00,3778.00,109,0\r\n2006-02-21,18:21:00,3778.00,3779.00,3778.00,3779.00,74,0\r\n2006-02-21,18:22:00,3779.00,3779.00,3779.00,3779.00,38,0\r\n2006-02-21,18:23:00,3779.00,3779.00,3777.00,3777.00,303,0\r\n2006-02-21,18:24:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-21,18:25:00,3777.00,3777.00,3777.00,3777.00,95,0\r\n2006-02-21,18:27:00,3777.00,3778.00,3777.00,3778.00,11,0\r\n2006-02-21,18:28:00,3777.00,3778.00,3777.00,3778.00,298,0\r\n2006-02-21,18:29:00,3778.00,3778.00,3778.00,3778.00,124,0\r\n2006-02-21,18:30:00,3778.00,3778.00,3776.00,3776.00,118,0\r\n2006-02-21,18:31:00,3777.00,3777.00,3776.00,3777.00,425,0\r\n2006-02-21,18:32:00,3776.00,3776.00,3774.00,3774.00,406,0\r\n2006-02-21,18:33:00,3775.00,3775.00,3775.00,3775.00,286,0\r\n2006-02-21,18:34:00,3774.00,3774.00,3773.00,3774.00,607,0\r\n2006-02-21,18:35:00,3774.00,3775.00,3774.00,3774.00,453,0\r\n2006-02-21,18:36:00,3775.00,3775.00,3774.00,3774.00,179,0\r\n2006-02-21,18:37:00,3775.00,3775.00,3775.00,3775.00,295,0\r\n2006-02-21,18:38:00,3776.00,3776.00,3776.00,3776.00,426,0\r\n2006-02-21,18:39:00,3777.00,3777.00,3776.00,3777.00,438,0\r\n2006-02-21,18:40:00,3777.00,3777.00,3776.00,3777.00,41,0\r\n2006-02-21,18:41:00,3777.00,3777.00,3776.00,3777.00,222,0\r\n2006-02-21,18:42:00,3777.00,3778.00,3777.00,3777.00,18,0\r\n2006-02-21,18:43:00,3778.00,3778.00,3777.00,3777.00,12,0\r\n2006-02-21,18:44:00,3777.00,3778.00,3777.00,3777.00,52,0\r\n2006-02-21,18:45:00,3777.00,3782.00,3777.00,3781.00,1834,0\r\n2006-02-21,18:46:00,3782.00,3782.00,3781.00,3781.00,374,0\r\n2006-02-21,18:47:00,3781.00,3782.00,3780.00,3781.00,125,0\r\n2006-02-21,18:48:00,3780.00,3781.00,3780.00,3781.00,202,0\r\n2006-02-21,18:49:00,3781.00,3781.00,3781.00,3781.00,14,0\r\n2006-02-21,18:50:00,3781.00,3781.00,3780.00,3780.00,74,0\r\n2006-02-21,18:51:00,3781.00,3782.00,3781.00,3782.00,180,0\r\n2006-02-21,18:52:00,3782.00,3782.00,3782.00,3782.00,1,0\r\n2006-02-21,18:53:00,3782.00,3782.00,3781.00,3781.00,32,0\r\n2006-02-21,18:54:00,3781.00,3782.00,3781.00,3782.00,108,0\r\n2006-02-21,18:55:00,3781.00,3781.00,3779.00,3779.00,851,0\r\n2006-02-21,18:56:00,3779.00,3779.00,3779.00,3779.00,64,0\r\n2006-02-21,18:57:00,3779.00,3779.00,3779.00,3779.00,119,0\r\n2006-02-21,18:58:00,3779.00,3779.00,3777.00,3777.00,340,0\r\n2006-02-21,18:59:00,3778.00,3778.00,3778.00,3778.00,472,0\r\n2006-02-21,19:00:00,3778.00,3778.00,3777.00,3777.00,188,0\r\n2006-02-21,19:01:00,3776.00,3778.00,3776.00,3778.00,281,0\r\n2006-02-21,19:02:00,3778.00,3778.00,3778.00,3778.00,119,0\r\n2006-02-21,19:03:00,3779.00,3779.00,3779.00,3779.00,286,0\r\n2006-02-21,19:04:00,3779.00,3780.00,3779.00,3780.00,36,0\r\n2006-02-21,19:05:00,3779.00,3779.00,3779.00,3779.00,161,0\r\n2006-02-21,19:06:00,3780.00,3780.00,3780.00,3780.00,85,0\r\n2006-02-21,19:07:00,3780.00,3781.00,3780.00,3781.00,301,0\r\n2006-02-21,19:08:00,3781.00,3781.00,3781.00,3781.00,255,0\r\n2006-02-21,19:09:00,3780.00,3780.00,3778.00,3778.00,273,0\r\n2006-02-21,19:10:00,3778.00,3778.00,3778.00,3778.00,202,0\r\n2006-02-21,19:11:00,3777.00,3777.00,3776.00,3777.00,286,0\r\n2006-02-21,19:12:00,3776.00,3777.00,3776.00,3777.00,280,0\r\n2006-02-21,19:13:00,3776.00,3776.00,3775.00,3775.00,285,0\r\n2006-02-21,19:14:00,3776.00,3776.00,3775.00,3775.00,499,0\r\n2006-02-21,19:15:00,3775.00,3776.00,3775.00,3776.00,181,0\r\n2006-02-21,19:16:00,3776.00,3776.00,3775.00,3775.00,44,0\r\n2006-02-21,19:17:00,3776.00,3777.00,3776.00,3777.00,28,0\r\n2006-02-21,19:18:00,3777.00,3777.00,3777.00,3777.00,12,0\r\n2006-02-21,19:20:00,3776.00,3776.00,3776.00,3776.00,34,0\r\n2006-02-21,19:21:00,3776.00,3776.00,3773.00,3773.00,581,0\r\n2006-02-21,19:22:00,3773.00,3775.00,3773.00,3775.00,581,0\r\n2006-02-21,19:23:00,3775.00,3775.00,3774.00,3774.00,185,0\r\n2006-02-21,19:24:00,3775.00,3775.00,3774.00,3775.00,77,0\r\n2006-02-21,19:25:00,3775.00,3775.00,3775.00,3775.00,44,0\r\n2006-02-21,19:26:00,3776.00,3777.00,3776.00,3777.00,168,0\r\n2006-02-21,19:27:00,3777.00,3777.00,3777.00,3777.00,13,0\r\n2006-02-21,19:28:00,3777.00,3777.00,3776.00,3777.00,160,0\r\n2006-02-21,19:29:00,3777.00,3777.00,3777.00,3777.00,42,0\r\n2006-02-21,19:30:00,3777.00,3777.00,3777.00,3777.00,60,0\r\n2006-02-21,19:31:00,3777.00,3778.00,3777.00,3778.00,235,0\r\n2006-02-21,19:32:00,3779.00,3779.00,3779.00,3779.00,2,0\r\n2006-02-21,19:33:00,3779.00,3779.00,3778.00,3778.00,212,0\r\n2006-02-21,19:34:00,3778.00,3779.00,3778.00,3779.00,120,0\r\n2006-02-21,19:36:00,3778.00,3778.00,3778.00,3778.00,40,0\r\n2006-02-21,19:37:00,3778.00,3778.00,3778.00,3778.00,29,0\r\n2006-02-21,19:38:00,3779.00,3781.00,3779.00,3780.00,495,0\r\n2006-02-21,19:39:00,3780.00,3781.00,3780.00,3781.00,92,0\r\n2006-02-21,19:40:00,3781.00,3781.00,3780.00,3780.00,2,0\r\n2006-02-21,19:41:00,3781.00,3783.00,3781.00,3782.00,283,0\r\n2006-02-21,19:42:00,3782.00,3782.00,3781.00,3781.00,46,0\r\n2006-02-21,19:43:00,3781.00,3782.00,3781.00,3782.00,452,0\r\n2006-02-21,19:44:00,3781.00,3781.00,3781.00,3781.00,49,0\r\n2006-02-21,19:45:00,3781.00,3781.00,3781.00,3781.00,20,0\r\n2006-02-21,19:46:00,3781.00,3781.00,3781.00,3781.00,34,0\r\n2006-02-21,19:47:00,3781.00,3781.00,3781.00,3781.00,1,0\r\n2006-02-21,19:48:00,3782.00,3782.00,3782.00,3782.00,141,0\r\n2006-02-21,19:49:00,3781.00,3782.00,3781.00,3782.00,58,0\r\n2006-02-21,19:50:00,3782.00,3782.00,3781.00,3782.00,82,0\r\n2006-02-21,19:51:00,3782.00,3782.00,3782.00,3782.00,72,0\r\n2006-02-21,19:52:00,3782.00,3782.00,3781.00,3781.00,141,0\r\n2006-02-21,19:53:00,3781.00,3782.00,3781.00,3782.00,174,0\r\n2006-02-21,19:54:00,3782.00,3782.00,3781.00,3781.00,109,0\r\n2006-02-21,19:55:00,3780.00,3780.00,3780.00,3780.00,104,0\r\n2006-02-21,19:56:00,3780.00,3780.00,3780.00,3780.00,27,0\r\n2006-02-21,19:57:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-21,19:58:00,3781.00,3781.00,3779.00,3779.00,51,0\r\n2006-02-21,19:59:00,3779.00,3779.00,3778.00,3778.00,86,0\r\n2006-02-21,20:00:00,3779.00,3779.00,3779.00,3779.00,2,0\r\n2006-02-21,20:01:00,3779.00,3781.00,3778.00,3781.00,260,0\r\n2006-02-21,20:02:00,3781.00,3784.00,3779.00,3780.00,389,0\r\n2006-02-21,20:03:00,3780.00,3781.00,3780.00,3781.00,349,0\r\n2006-02-21,20:04:00,3781.00,3782.00,3780.00,3781.00,480,0\r\n2006-02-21,20:05:00,3781.00,3783.00,3779.00,3779.00,113,0\r\n2006-02-21,20:06:00,3779.00,3780.00,3779.00,3780.00,85,0\r\n2006-02-21,20:07:00,3780.00,3780.00,3777.00,3777.00,209,0\r\n2006-02-21,20:08:00,3776.00,3776.00,3775.00,3776.00,117,0\r\n2006-02-21,20:09:00,3776.00,3777.00,3776.00,3776.00,27,0\r\n2006-02-21,20:10:00,3776.00,3777.00,3776.00,3777.00,21,0\r\n2006-02-21,20:11:00,3778.00,3778.00,3776.00,3776.00,41,0\r\n2006-02-21,20:12:00,3777.00,3779.00,3777.00,3779.00,46,0\r\n2006-02-21,20:13:00,3778.00,3779.00,3778.00,3778.00,58,0\r\n2006-02-21,20:14:00,3778.00,3778.00,3778.00,3778.00,14,0\r\n2006-02-21,20:15:00,3777.00,3777.00,3775.00,3775.00,171,0\r\n2006-02-21,20:16:00,3775.00,3776.00,3774.00,3776.00,70,0\r\n2006-02-21,20:17:00,3776.00,3776.00,3774.00,3775.00,357,0\r\n2006-02-21,20:18:00,3775.00,3776.00,3775.00,3776.00,221,0\r\n2006-02-21,20:19:00,3775.00,3775.00,3775.00,3775.00,94,0\r\n2006-02-21,20:20:00,3776.00,3777.00,3776.00,3776.00,425,0\r\n2006-02-21,20:21:00,3775.00,3775.00,3774.00,3774.00,242,0\r\n2006-02-21,20:22:00,3774.00,3775.00,3774.00,3775.00,31,0\r\n2006-02-21,20:23:00,3775.00,3775.00,3775.00,3775.00,37,0\r\n2006-02-21,20:24:00,3775.00,3775.00,3775.00,3775.00,12,0\r\n2006-02-21,20:25:00,3775.00,3775.00,3775.00,3775.00,7,0\r\n2006-02-21,20:26:00,3774.00,3775.00,3773.00,3773.00,85,0\r\n2006-02-21,20:27:00,3773.00,3773.00,3772.00,3773.00,240,0\r\n2006-02-21,20:28:00,3773.00,3775.00,3773.00,3775.00,136,0\r\n2006-02-21,20:29:00,3774.00,3774.00,3774.00,3774.00,10,0\r\n2006-02-21,20:30:00,3775.00,3775.00,3774.00,3774.00,24,0\r\n2006-02-21,20:31:00,3775.00,3776.00,3775.00,3776.00,172,0\r\n2006-02-21,20:32:00,3776.00,3777.00,3776.00,3777.00,133,0\r\n2006-02-21,20:33:00,3777.00,3777.00,3777.00,3777.00,321,0\r\n2006-02-21,20:34:00,3777.00,3777.00,3777.00,3777.00,24,0\r\n2006-02-21,20:35:00,3777.00,3779.00,3777.00,3779.00,170,0\r\n2006-02-21,20:36:00,3779.00,3779.00,3779.00,3779.00,18,0\r\n2006-02-21,20:37:00,3779.00,3779.00,3779.00,3779.00,6,0\r\n2006-02-21,20:38:00,3778.00,3779.00,3778.00,3779.00,155,0\r\n2006-02-21,20:39:00,3778.00,3779.00,3777.00,3777.00,74,0\r\n2006-02-21,20:40:00,3777.00,3778.00,3777.00,3778.00,11,0\r\n2006-02-21,20:42:00,3777.00,3777.00,3776.00,3776.00,143,0\r\n2006-02-21,20:43:00,3775.00,3776.00,3774.00,3776.00,135,0\r\n2006-02-21,20:44:00,3776.00,3779.00,3776.00,3778.00,506,0\r\n2006-02-21,20:45:00,3778.00,3778.00,3777.00,3777.00,64,0\r\n2006-02-21,20:46:00,3777.00,3777.00,3776.00,3776.00,42,0\r\n2006-02-21,20:47:00,3776.00,3776.00,3776.00,3776.00,4,0\r\n2006-02-21,20:48:00,3775.00,3775.00,3773.00,3774.00,162,0\r\n2006-02-21,20:49:00,3773.00,3774.00,3773.00,3774.00,181,0\r\n2006-02-21,20:50:00,3775.00,3777.00,3774.00,3777.00,99,0\r\n2006-02-21,20:51:00,3777.00,3777.00,3775.00,3775.00,10,0\r\n2006-02-21,20:52:00,3774.00,3775.00,3774.00,3775.00,29,0\r\n2006-02-21,20:53:00,3775.00,3776.00,3775.00,3776.00,11,0\r\n2006-02-21,20:54:00,3774.00,3775.00,3773.00,3774.00,77,0\r\n2006-02-21,20:55:00,3774.00,3774.00,3773.00,3773.00,48,0\r\n2006-02-21,20:56:00,3775.00,3775.00,3774.00,3774.00,26,0\r\n2006-02-21,20:57:00,3774.00,3774.00,3774.00,3774.00,1,0\r\n2006-02-21,20:58:00,3776.00,3777.00,3776.00,3776.00,11,0\r\n2006-02-21,20:59:00,3775.00,3775.00,3775.00,3775.00,120,0\r\n2006-02-21,21:00:00,3774.00,3774.00,3774.00,3774.00,41,0\r\n2006-02-21,21:01:00,3775.00,3775.00,3775.00,3775.00,74,0\r\n2006-02-21,21:02:00,3775.00,3777.00,3775.00,3777.00,43,0\r\n2006-02-21,21:03:00,3777.00,3777.00,3777.00,3777.00,25,0\r\n2006-02-21,21:04:00,3777.00,3777.00,3777.00,3777.00,30,0\r\n2006-02-21,21:05:00,3776.00,3776.00,3775.00,3775.00,49,0\r\n2006-02-21,21:07:00,3776.00,3777.00,3775.00,3777.00,17,0\r\n2006-02-21,21:08:00,3777.00,3778.00,3777.00,3778.00,40,0\r\n2006-02-21,21:10:00,3778.00,3778.00,3778.00,3778.00,3,0\r\n2006-02-21,21:11:00,3777.00,3778.00,3777.00,3778.00,11,0\r\n2006-02-21,21:13:00,3778.00,3778.00,3778.00,3778.00,7,0\r\n2006-02-21,21:14:00,3778.00,3778.00,3778.00,3778.00,33,0\r\n2006-02-21,21:15:00,3778.00,3778.00,3778.00,3778.00,18,0\r\n2006-02-21,21:16:00,3778.00,3778.00,3778.00,3778.00,2,0\r\n2006-02-21,21:17:00,3778.00,3778.00,3777.00,3778.00,69,0\r\n2006-02-21,21:18:00,3777.00,3777.00,3777.00,3777.00,2,0\r\n2006-02-21,21:19:00,3777.00,3777.00,3777.00,3777.00,8,0\r\n2006-02-21,21:20:00,3776.00,3776.00,3776.00,3776.00,23,0\r\n2006-02-21,21:21:00,3777.00,3778.00,3777.00,3777.00,144,0\r\n2006-02-21,21:22:00,3777.00,3778.00,3777.00,3778.00,14,0\r\n2006-02-21,21:23:00,3778.00,3778.00,3778.00,3778.00,36,0\r\n2006-02-21,21:24:00,3778.00,3778.00,3777.00,3777.00,15,0\r\n2006-02-21,21:25:00,3777.00,3777.00,3777.00,3777.00,4,0\r\n2006-02-21,21:26:00,3777.00,3777.00,3776.00,3776.00,4,0\r\n2006-02-21,21:27:00,3778.00,3779.00,3778.00,3779.00,11,0\r\n2006-02-21,21:28:00,3779.00,3780.00,3778.00,3779.00,44,0\r\n2006-02-21,21:29:00,3779.00,3779.00,3779.00,3779.00,23,0\r\n2006-02-21,21:30:00,3779.00,3780.00,3778.00,3778.00,31,0\r\n2006-02-21,21:31:00,3778.00,3778.00,3778.00,3778.00,11,0\r\n2006-02-21,21:32:00,3778.00,3779.00,3778.00,3779.00,6,0\r\n2006-02-21,21:33:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-21,21:34:00,3779.00,3779.00,3779.00,3779.00,8,0\r\n2006-02-21,21:35:00,3780.00,3780.00,3778.00,3778.00,4,0\r\n2006-02-21,21:36:00,3779.00,3779.00,3779.00,3779.00,1,0\r\n2006-02-21,21:37:00,3780.00,3780.00,3779.00,3779.00,63,0\r\n2006-02-21,21:38:00,3779.00,3779.00,3779.00,3779.00,9,0\r\n2006-02-21,21:40:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-21,21:42:00,3779.00,3781.00,3779.00,3781.00,102,0\r\n2006-02-21,21:43:00,3780.00,3780.00,3780.00,3780.00,2,0\r\n2006-02-21,21:44:00,3780.00,3780.00,3780.00,3780.00,38,0\r\n2006-02-21,21:45:00,3779.00,3779.00,3779.00,3779.00,56,0\r\n2006-02-21,21:46:00,3779.00,3779.00,3779.00,3779.00,19,0\r\n2006-02-21,21:47:00,3779.00,3779.00,3779.00,3779.00,5,0\r\n2006-02-21,21:48:00,3779.00,3779.00,3779.00,3779.00,4,0\r\n2006-02-21,21:50:00,3779.00,3780.00,3779.00,3780.00,7,0\r\n2006-02-21,21:51:00,3780.00,3780.00,3779.00,3779.00,80,0\r\n2006-02-21,21:53:00,3779.00,3780.00,3779.00,3779.00,15,0\r\n2006-02-21,21:54:00,3779.00,3779.00,3779.00,3779.00,9,0\r\n2006-02-21,21:55:00,3778.00,3778.00,3777.00,3777.00,21,0\r\n2006-02-21,21:56:00,3777.00,3778.00,3777.00,3778.00,39,0\r\n2006-02-21,21:57:00,3777.00,3777.00,3776.00,3776.00,30,0\r\n2006-02-21,21:58:00,3777.00,3777.00,3775.00,3776.00,25,0\r\n2006-02-21,21:59:00,3777.00,3777.00,3777.00,3777.00,23,0\r\n2006-02-21,22:00:00,3778.00,3778.00,3775.00,3775.00,231,0\r\n2006-02-22,09:01:00,3783.00,3783.00,3780.00,3780.00,4027,0\r\n2006-02-22,09:02:00,3780.00,3781.00,3780.00,3780.00,378,0\r\n2006-02-22,09:03:00,3780.00,3781.00,3779.00,3779.00,1153,0\r\n2006-02-22,09:04:00,3779.00,3780.00,3778.00,3778.00,982,0\r\n2006-02-22,09:05:00,3778.00,3780.00,3777.00,3779.00,1021,0\r\n2006-02-22,09:06:00,3779.00,3782.00,3779.00,3781.00,1580,0\r\n2006-02-22,09:07:00,3782.00,3782.00,3781.00,3781.00,628,0\r\n2006-02-22,09:08:00,3782.00,3783.00,3781.00,3782.00,494,0\r\n2006-02-22,09:09:00,3783.00,3784.00,3783.00,3784.00,805,0\r\n2006-02-22,09:10:00,3784.00,3784.00,3783.00,3783.00,530,0\r\n2006-02-22,09:11:00,3783.00,3784.00,3783.00,3783.00,292,0\r\n2006-02-22,09:12:00,3783.00,3783.00,3781.00,3781.00,704,0\r\n2006-02-22,09:13:00,3781.00,3781.00,3780.00,3780.00,2099,0\r\n2006-02-22,09:14:00,3781.00,3781.00,3777.00,3777.00,1799,0\r\n2006-02-22,09:15:00,3777.00,3778.00,3776.00,3776.00,1983,0\r\n2006-02-22,09:16:00,3776.00,3777.00,3775.00,3776.00,1976,0\r\n2006-02-22,09:17:00,3776.00,3778.00,3776.00,3778.00,964,0\r\n2006-02-22,09:18:00,3778.00,3778.00,3777.00,3777.00,640,0\r\n2006-02-22,09:19:00,3777.00,3780.00,3777.00,3779.00,974,0\r\n2006-02-22,09:20:00,3780.00,3780.00,3779.00,3779.00,662,0\r\n2006-02-22,09:21:00,3779.00,3780.00,3778.00,3779.00,273,0\r\n2006-02-22,09:22:00,3779.00,3779.00,3778.00,3778.00,50,0\r\n2006-02-22,09:23:00,3778.00,3778.00,3776.00,3776.00,1714,0\r\n2006-02-22,09:24:00,3776.00,3777.00,3775.00,3776.00,802,0\r\n2006-02-22,09:25:00,3776.00,3778.00,3776.00,3776.00,543,0\r\n2006-02-22,09:26:00,3776.00,3779.00,3775.00,3778.00,2389,0\r\n2006-02-22,09:27:00,3778.00,3779.00,3777.00,3779.00,876,0\r\n2006-02-22,09:28:00,3780.00,3780.00,3779.00,3780.00,819,0\r\n2006-02-22,09:29:00,3780.00,3781.00,3779.00,3780.00,581,0\r\n2006-02-22,09:30:00,3780.00,3780.00,3778.00,3778.00,363,0\r\n2006-02-22,09:31:00,3779.00,3779.00,3778.00,3779.00,530,0\r\n2006-02-22,09:32:00,3779.00,3781.00,3779.00,3781.00,731,0\r\n2006-02-22,09:33:00,3781.00,3783.00,3781.00,3782.00,689,0\r\n2006-02-22,09:34:00,3783.00,3783.00,3782.00,3783.00,1458,0\r\n2006-02-22,09:35:00,3783.00,3785.00,3783.00,3784.00,601,0\r\n2006-02-22,09:36:00,3784.00,3784.00,3783.00,3784.00,247,0\r\n2006-02-22,09:37:00,3784.00,3784.00,3782.00,3783.00,462,0\r\n2006-02-22,09:38:00,3784.00,3784.00,3783.00,3783.00,192,0\r\n2006-02-22,09:39:00,3783.00,3783.00,3783.00,3783.00,501,0\r\n2006-02-22,09:40:00,3783.00,3783.00,3783.00,3783.00,483,0\r\n2006-02-22,09:41:00,3783.00,3783.00,3778.00,3779.00,3637,0\r\n2006-02-22,09:42:00,3780.00,3780.00,3779.00,3779.00,564,0\r\n2006-02-22,09:43:00,3780.00,3780.00,3779.00,3780.00,168,0\r\n2006-02-22,09:44:00,3780.00,3781.00,3780.00,3781.00,453,0\r\n2006-02-22,09:45:00,3781.00,3781.00,3780.00,3781.00,216,0\r\n2006-02-22,09:46:00,3781.00,3782.00,3781.00,3782.00,713,0\r\n2006-02-22,09:47:00,3783.00,3783.00,3782.00,3783.00,228,0\r\n2006-02-22,09:48:00,3782.00,3783.00,3781.00,3783.00,208,0\r\n2006-02-22,09:49:00,3782.00,3782.00,3780.00,3781.00,191,0\r\n2006-02-22,09:50:00,3781.00,3782.00,3781.00,3781.00,147,0\r\n2006-02-22,09:51:00,3781.00,3782.00,3780.00,3780.00,286,0\r\n2006-02-22,09:52:00,3780.00,3780.00,3779.00,3780.00,539,0\r\n2006-02-22,09:53:00,3780.00,3780.00,3779.00,3779.00,236,0\r\n2006-02-22,09:54:00,3779.00,3779.00,3778.00,3779.00,436,0\r\n2006-02-22,09:55:00,3780.00,3781.00,3780.00,3781.00,375,0\r\n2006-02-22,09:56:00,3780.00,3782.00,3780.00,3781.00,78,0\r\n2006-02-22,09:57:00,3781.00,3782.00,3781.00,3781.00,428,0\r\n2006-02-22,09:58:00,3782.00,3782.00,3781.00,3781.00,862,0\r\n2006-02-22,09:59:00,3781.00,3782.00,3781.00,3782.00,363,0\r\n2006-02-22,10:00:00,3782.00,3782.00,3781.00,3782.00,71,0\r\n2006-02-22,10:01:00,3782.00,3784.00,3782.00,3784.00,646,0\r\n2006-02-22,10:02:00,3784.00,3785.00,3783.00,3784.00,803,0\r\n2006-02-22,10:03:00,3784.00,3785.00,3784.00,3784.00,468,0\r\n2006-02-22,10:04:00,3784.00,3787.00,3784.00,3786.00,1661,0\r\n2006-02-22,10:05:00,3786.00,3786.00,3785.00,3785.00,871,0\r\n2006-02-22,10:06:00,3785.00,3786.00,3784.00,3784.00,3378,0\r\n2006-02-22,10:07:00,3784.00,3785.00,3783.00,3785.00,807,0\r\n2006-02-22,10:08:00,3785.00,3786.00,3785.00,3786.00,395,0\r\n2006-02-22,10:09:00,3786.00,3786.00,3785.00,3785.00,404,0\r\n2006-02-22,10:10:00,3785.00,3786.00,3784.00,3785.00,714,0\r\n2006-02-22,10:11:00,3785.00,3785.00,3784.00,3784.00,303,0\r\n2006-02-22,10:12:00,3785.00,3786.00,3784.00,3786.00,574,0\r\n2006-02-22,10:13:00,3786.00,3786.00,3786.00,3786.00,1041,0\r\n2006-02-22,10:14:00,3786.00,3787.00,3786.00,3786.00,2388,0\r\n2006-02-22,10:15:00,3786.00,3786.00,3785.00,3786.00,1195,0\r\n2006-02-22,10:16:00,3786.00,3788.00,3786.00,3788.00,888,0\r\n2006-02-22,10:17:00,3787.00,3788.00,3786.00,3787.00,1264,0\r\n2006-02-22,10:18:00,3787.00,3788.00,3787.00,3787.00,594,0\r\n2006-02-22,10:19:00,3787.00,3788.00,3787.00,3787.00,230,0\r\n2006-02-22,10:20:00,3788.00,3788.00,3786.00,3786.00,380,0\r\n2006-02-22,10:21:00,3786.00,3787.00,3786.00,3787.00,640,0\r\n2006-02-22,10:22:00,3787.00,3787.00,3786.00,3786.00,212,0\r\n2006-02-22,10:23:00,3786.00,3786.00,3785.00,3786.00,1181,0\r\n2006-02-22,10:24:00,3786.00,3788.00,3786.00,3788.00,1334,0\r\n2006-02-22,10:25:00,3787.00,3789.00,3787.00,3788.00,910,0\r\n2006-02-22,10:26:00,3788.00,3788.00,3787.00,3788.00,152,0\r\n2006-02-22,10:27:00,3788.00,3788.00,3787.00,3787.00,408,0\r\n2006-02-22,10:28:00,3788.00,3788.00,3788.00,3788.00,4,0\r\n2006-02-22,10:29:00,3787.00,3787.00,3786.00,3787.00,892,0\r\n2006-02-22,10:30:00,3787.00,3787.00,3786.00,3786.00,130,0\r\n2006-02-22,10:31:00,3786.00,3788.00,3786.00,3786.00,1533,0\r\n2006-02-22,10:32:00,3785.00,3786.00,3785.00,3786.00,147,0\r\n2006-02-22,10:33:00,3786.00,3786.00,3785.00,3785.00,457,0\r\n2006-02-22,10:34:00,3786.00,3786.00,3786.00,3786.00,381,0\r\n2006-02-22,10:35:00,3786.00,3786.00,3785.00,3785.00,1072,0\r\n2006-02-22,10:36:00,3785.00,3785.00,3785.00,3785.00,188,0\r\n2006-02-22,10:37:00,3785.00,3785.00,3783.00,3783.00,955,0\r\n2006-02-22,10:38:00,3784.00,3785.00,3784.00,3784.00,954,0\r\n2006-02-22,10:39:00,3785.00,3785.00,3785.00,3785.00,253,0\r\n2006-02-22,10:40:00,3785.00,3785.00,3785.00,3785.00,12,0\r\n2006-02-22,10:41:00,3784.00,3784.00,3784.00,3784.00,159,0\r\n2006-02-22,10:42:00,3784.00,3785.00,3784.00,3785.00,390,0\r\n2006-02-22,10:43:00,3785.00,3785.00,3784.00,3784.00,318,0\r\n2006-02-22,10:44:00,3784.00,3784.00,3783.00,3784.00,84,0\r\n2006-02-22,10:45:00,3783.00,3783.00,3783.00,3783.00,41,0\r\n2006-02-22,10:46:00,3783.00,3784.00,3782.00,3783.00,380,0\r\n2006-02-22,10:47:00,3783.00,3783.00,3782.00,3783.00,21,0\r\n2006-02-22,10:48:00,3783.00,3784.00,3783.00,3783.00,50,0\r\n2006-02-22,10:49:00,3783.00,3785.00,3783.00,3784.00,588,0\r\n2006-02-22,10:50:00,3784.00,3785.00,3783.00,3785.00,117,0\r\n2006-02-22,10:51:00,3784.00,3785.00,3784.00,3785.00,14,0\r\n2006-02-22,10:52:00,3785.00,3785.00,3784.00,3784.00,322,0\r\n2006-02-22,10:53:00,3783.00,3784.00,3783.00,3784.00,131,0\r\n2006-02-22,10:54:00,3783.00,3784.00,3783.00,3784.00,2,0\r\n2006-02-22,10:55:00,3784.00,3785.00,3783.00,3784.00,366,0\r\n2006-02-22,10:56:00,3785.00,3785.00,3784.00,3784.00,531,0\r\n2006-02-22,10:57:00,3784.00,3785.00,3784.00,3785.00,163,0\r\n2006-02-22,10:58:00,3785.00,3785.00,3784.00,3784.00,2,0\r\n2006-02-22,10:59:00,3784.00,3784.00,3784.00,3784.00,160,0\r\n2006-02-22,11:00:00,3784.00,3785.00,3784.00,3784.00,25,0\r\n2006-02-22,11:01:00,3784.00,3785.00,3783.00,3783.00,464,0\r\n2006-02-22,11:02:00,3783.00,3784.00,3782.00,3783.00,368,0\r\n2006-02-22,11:03:00,3783.00,3783.00,3782.00,3783.00,252,0\r\n2006-02-22,11:04:00,3783.00,3783.00,3782.00,3782.00,147,0\r\n2006-02-22,11:05:00,3783.00,3784.00,3783.00,3783.00,231,0\r\n2006-02-22,11:06:00,3783.00,3784.00,3783.00,3784.00,609,0\r\n2006-02-22,11:07:00,3784.00,3784.00,3784.00,3784.00,1,0\r\n2006-02-22,11:08:00,3784.00,3784.00,3784.00,3784.00,10,0\r\n2006-02-22,11:09:00,3783.00,3785.00,3783.00,3785.00,328,0\r\n2006-02-22,11:10:00,3784.00,3785.00,3784.00,3785.00,75,0\r\n2006-02-22,11:11:00,3785.00,3786.00,3784.00,3786.00,709,0\r\n2006-02-22,11:12:00,3786.00,3786.00,3784.00,3786.00,801,0\r\n2006-02-22,11:13:00,3785.00,3785.00,3784.00,3785.00,287,0\r\n2006-02-22,11:14:00,3785.00,3785.00,3784.00,3785.00,134,0\r\n2006-02-22,11:15:00,3785.00,3785.00,3784.00,3784.00,50,0\r\n2006-02-22,11:16:00,3785.00,3785.00,3784.00,3785.00,16,0\r\n2006-02-22,11:17:00,3784.00,3785.00,3784.00,3785.00,150,0\r\n2006-02-22,11:18:00,3784.00,3784.00,3784.00,3784.00,721,0\r\n2006-02-22,11:19:00,3784.00,3784.00,3783.00,3784.00,170,0\r\n2006-02-22,11:20:00,3784.00,3785.00,3784.00,3785.00,108,0\r\n2006-02-22,11:21:00,3785.00,3785.00,3784.00,3785.00,368,0\r\n2006-02-22,11:22:00,3785.00,3785.00,3785.00,3785.00,233,0\r\n2006-02-22,11:23:00,3785.00,3786.00,3785.00,3786.00,209,0\r\n2006-02-22,11:24:00,3786.00,3786.00,3786.00,3786.00,2,0\r\n2006-02-22,11:25:00,3785.00,3785.00,3785.00,3785.00,696,0\r\n2006-02-22,11:26:00,3785.00,3786.00,3785.00,3786.00,13,0\r\n2006-02-22,11:27:00,3786.00,3786.00,3786.00,3786.00,97,0\r\n2006-02-22,11:28:00,3786.00,3787.00,3786.00,3786.00,470,0\r\n2006-02-22,11:29:00,3786.00,3787.00,3786.00,3787.00,155,0\r\n2006-02-22,11:30:00,3787.00,3787.00,3787.00,3787.00,1569,0\r\n2006-02-22,11:31:00,3786.00,3787.00,3786.00,3787.00,69,0\r\n2006-02-22,11:32:00,3786.00,3786.00,3785.00,3785.00,425,0\r\n2006-02-22,11:33:00,3786.00,3786.00,3785.00,3786.00,117,0\r\n2006-02-22,11:34:00,3786.00,3786.00,3785.00,3786.00,429,0\r\n2006-02-22,11:35:00,3786.00,3787.00,3786.00,3786.00,92,0\r\n2006-02-22,11:36:00,3785.00,3785.00,3784.00,3784.00,564,0\r\n2006-02-22,11:37:00,3784.00,3785.00,3784.00,3784.00,9,0\r\n2006-02-22,11:38:00,3784.00,3785.00,3784.00,3784.00,2758,0\r\n2006-02-22,11:39:00,3784.00,3784.00,3783.00,3783.00,118,0\r\n2006-02-22,11:40:00,3783.00,3784.00,3783.00,3783.00,681,0\r\n2006-02-22,11:41:00,3782.00,3783.00,3782.00,3783.00,331,0\r\n2006-02-22,11:42:00,3783.00,3783.00,3782.00,3783.00,360,0\r\n2006-02-22,11:43:00,3783.00,3783.00,3781.00,3782.00,1211,0\r\n2006-02-22,11:44:00,3781.00,3781.00,3780.00,3780.00,617,0\r\n2006-02-22,11:45:00,3780.00,3781.00,3780.00,3780.00,675,0\r\n2006-02-22,11:46:00,3779.00,3781.00,3779.00,3781.00,390,0\r\n2006-02-22,11:47:00,3781.00,3781.00,3780.00,3780.00,134,0\r\n2006-02-22,11:48:00,3780.00,3781.00,3778.00,3778.00,820,0\r\n2006-02-22,11:49:00,3778.00,3780.00,3778.00,3780.00,1198,0\r\n2006-02-22,11:50:00,3779.00,3780.00,3779.00,3780.00,957,0\r\n2006-02-22,11:51:00,3779.00,3780.00,3778.00,3778.00,1160,0\r\n2006-02-22,11:52:00,3779.00,3780.00,3777.00,3780.00,3875,0\r\n2006-02-22,11:53:00,3779.00,3780.00,3779.00,3779.00,806,0\r\n2006-02-22,11:54:00,3780.00,3781.00,3779.00,3781.00,1002,0\r\n2006-02-22,11:55:00,3782.00,3782.00,3780.00,3780.00,304,0\r\n2006-02-22,11:56:00,3780.00,3781.00,3780.00,3780.00,519,0\r\n2006-02-22,11:57:00,3780.00,3780.00,3780.00,3780.00,4,0\r\n2006-02-22,11:58:00,3780.00,3780.00,3779.00,3780.00,163,0\r\n2006-02-22,11:59:00,3780.00,3780.00,3779.00,3780.00,13,0\r\n2006-02-22,12:00:00,3780.00,3780.00,3779.00,3780.00,336,0\r\n2006-02-22,12:01:00,3779.00,3780.00,3778.00,3780.00,290,0\r\n2006-02-22,12:02:00,3780.00,3780.00,3779.00,3780.00,101,0\r\n2006-02-22,12:03:00,3779.00,3780.00,3779.00,3780.00,105,0\r\n2006-02-22,12:04:00,3780.00,3781.00,3780.00,3781.00,556,0\r\n2006-02-22,12:05:00,3781.00,3781.00,3780.00,3780.00,1018,0\r\n2006-02-22,12:06:00,3779.00,3780.00,3779.00,3780.00,208,0\r\n2006-02-22,12:07:00,3780.00,3780.00,3780.00,3780.00,74,0\r\n2006-02-22,12:08:00,3781.00,3781.00,3780.00,3781.00,340,0\r\n2006-02-22,12:09:00,3780.00,3781.00,3780.00,3781.00,147,0\r\n2006-02-22,12:10:00,3781.00,3782.00,3781.00,3781.00,1114,0\r\n2006-02-22,12:11:00,3781.00,3781.00,3780.00,3781.00,6,0\r\n2006-02-22,12:12:00,3781.00,3782.00,3781.00,3782.00,1252,0\r\n2006-02-22,12:13:00,3782.00,3782.00,3782.00,3782.00,97,0\r\n2006-02-22,12:14:00,3782.00,3782.00,3782.00,3782.00,118,0\r\n2006-02-22,12:15:00,3782.00,3782.00,3781.00,3781.00,208,0\r\n2006-02-22,12:16:00,3781.00,3783.00,3781.00,3783.00,94,0\r\n2006-02-22,12:17:00,3783.00,3785.00,3783.00,3784.00,832,0\r\n2006-02-22,12:18:00,3785.00,3785.00,3783.00,3783.00,1054,0\r\n2006-02-22,12:19:00,3783.00,3784.00,3783.00,3783.00,273,0\r\n2006-02-22,12:20:00,3783.00,3783.00,3782.00,3783.00,106,0\r\n2006-02-22,12:21:00,3783.00,3783.00,3783.00,3783.00,6,0\r\n2006-02-22,12:22:00,3783.00,3783.00,3782.00,3782.00,217,0\r\n2006-02-22,12:23:00,3782.00,3782.00,3782.00,3782.00,181,0\r\n2006-02-22,12:24:00,3782.00,3783.00,3782.00,3783.00,76,0\r\n2006-02-22,12:25:00,3783.00,3783.00,3782.00,3782.00,261,0\r\n2006-02-22,12:26:00,3782.00,3783.00,3782.00,3783.00,444,0\r\n2006-02-22,12:27:00,3783.00,3784.00,3783.00,3783.00,189,0\r\n2006-02-22,12:28:00,3783.00,3783.00,3783.00,3783.00,94,0\r\n2006-02-22,12:29:00,3784.00,3784.00,3783.00,3783.00,196,0\r\n2006-02-22,12:30:00,3783.00,3784.00,3783.00,3784.00,557,0\r\n2006-02-22,12:31:00,3783.00,3784.00,3782.00,3784.00,203,0\r\n2006-02-22,12:33:00,3783.00,3784.00,3783.00,3783.00,134,0\r\n2006-02-22,12:34:00,3783.00,3783.00,3783.00,3783.00,6,0\r\n2006-02-22,12:35:00,3784.00,3784.00,3783.00,3783.00,6,0\r\n2006-02-22,12:36:00,3783.00,3783.00,3783.00,3783.00,5,0\r\n2006-02-22,12:37:00,3784.00,3785.00,3784.00,3784.00,971,0\r\n2006-02-22,12:38:00,3784.00,3784.00,3783.00,3783.00,512,0\r\n2006-02-22,12:39:00,3784.00,3784.00,3783.00,3783.00,74,0\r\n2006-02-22,12:41:00,3784.00,3786.00,3783.00,3785.00,770,0\r\n2006-02-22,12:42:00,3785.00,3785.00,3784.00,3784.00,228,0\r\n2006-02-22,12:43:00,3783.00,3783.00,3783.00,3783.00,430,0\r\n2006-02-22,12:44:00,3783.00,3783.00,3783.00,3783.00,202,0\r\n2006-02-22,12:45:00,3783.00,3783.00,3783.00,3783.00,65,0\r\n2006-02-22,12:46:00,3784.00,3784.00,3783.00,3783.00,67,0\r\n2006-02-22,12:48:00,3784.00,3784.00,3783.00,3783.00,680,0\r\n2006-02-22,12:49:00,3783.00,3783.00,3782.00,3783.00,116,0\r\n2006-02-22,12:50:00,3783.00,3783.00,3783.00,3783.00,239,0\r\n2006-02-22,12:51:00,3783.00,3783.00,3783.00,3783.00,10,0\r\n2006-02-22,12:52:00,3783.00,3783.00,3783.00,3783.00,20,0\r\n2006-02-22,12:53:00,3783.00,3784.00,3783.00,3784.00,25,0\r\n2006-02-22,12:54:00,3783.00,3783.00,3783.00,3783.00,11,0\r\n2006-02-22,12:55:00,3784.00,3785.00,3784.00,3785.00,736,0\r\n2006-02-22,12:56:00,3784.00,3784.00,3784.00,3784.00,419,0\r\n2006-02-22,12:57:00,3784.00,3784.00,3784.00,3784.00,56,0\r\n2006-02-22,12:58:00,3784.00,3784.00,3783.00,3784.00,63,0\r\n2006-02-22,13:00:00,3784.00,3784.00,3783.00,3784.00,219,0\r\n2006-02-22,13:01:00,3784.00,3785.00,3783.00,3784.00,89,0\r\n2006-02-22,13:02:00,3784.00,3784.00,3784.00,3784.00,5,0\r\n2006-02-22,13:03:00,3784.00,3785.00,3784.00,3784.00,121,0\r\n2006-02-22,13:04:00,3784.00,3785.00,3784.00,3785.00,171,0\r\n2006-02-22,13:05:00,3785.00,3785.00,3784.00,3784.00,21,0\r\n2006-02-22,13:06:00,3785.00,3785.00,3785.00,3785.00,15,0\r\n2006-02-22,13:07:00,3785.00,3785.00,3784.00,3784.00,7,0\r\n2006-02-22,13:08:00,3784.00,3785.00,3784.00,3785.00,9,0\r\n2006-02-22,13:09:00,3785.00,3786.00,3785.00,3786.00,314,0\r\n2006-02-22,13:10:00,3785.00,3785.00,3785.00,3785.00,189,0\r\n2006-02-22,13:11:00,3785.00,3785.00,3784.00,3785.00,32,0\r\n2006-02-22,13:12:00,3785.00,3785.00,3785.00,3785.00,21,0\r\n2006-02-22,13:13:00,3784.00,3785.00,3784.00,3785.00,45,0\r\n2006-02-22,13:14:00,3784.00,3785.00,3784.00,3785.00,12,0\r\n2006-02-22,13:15:00,3785.00,3785.00,3785.00,3785.00,260,0\r\n2006-02-22,13:16:00,3786.00,3786.00,3785.00,3785.00,602,0\r\n2006-02-22,13:17:00,3786.00,3787.00,3786.00,3787.00,298,0\r\n2006-02-22,13:18:00,3787.00,3787.00,3786.00,3786.00,212,0\r\n2006-02-22,13:19:00,3786.00,3786.00,3786.00,3786.00,23,0\r\n2006-02-22,13:20:00,3786.00,3786.00,3786.00,3786.00,37,0\r\n2006-02-22,13:21:00,3786.00,3786.00,3786.00,3786.00,287,0\r\n2006-02-22,13:22:00,3787.00,3787.00,3786.00,3786.00,182,0\r\n2006-02-22,13:23:00,3785.00,3786.00,3785.00,3786.00,28,0\r\n2006-02-22,13:24:00,3786.00,3786.00,3785.00,3785.00,289,0\r\n2006-02-22,13:25:00,3786.00,3786.00,3786.00,3786.00,488,0\r\n2006-02-22,13:26:00,3785.00,3786.00,3785.00,3786.00,233,0\r\n2006-02-22,13:27:00,3786.00,3786.00,3786.00,3786.00,1677,0\r\n2006-02-22,13:28:00,3787.00,3787.00,3786.00,3786.00,3,0\r\n2006-02-22,13:30:00,3786.00,3786.00,3786.00,3786.00,43,0\r\n2006-02-22,13:31:00,3787.00,3787.00,3786.00,3786.00,130,0\r\n2006-02-22,13:32:00,3786.00,3786.00,3786.00,3786.00,12,0\r\n2006-02-22,13:33:00,3786.00,3787.00,3786.00,3787.00,58,0\r\n2006-02-22,13:34:00,3787.00,3788.00,3787.00,3787.00,698,0\r\n2006-02-22,13:35:00,3787.00,3787.00,3787.00,3787.00,2,0\r\n2006-02-22,13:36:00,3788.00,3788.00,3787.00,3787.00,4,0\r\n2006-02-22,13:37:00,3787.00,3787.00,3787.00,3787.00,1,0\r\n2006-02-22,13:38:00,3788.00,3788.00,3787.00,3787.00,53,0\r\n2006-02-22,13:39:00,3787.00,3788.00,3787.00,3788.00,12,0\r\n2006-02-22,13:40:00,3788.00,3788.00,3788.00,3788.00,5,0\r\n2006-02-22,13:42:00,3788.00,3788.00,3788.00,3788.00,50,0\r\n2006-02-22,13:43:00,3787.00,3787.00,3787.00,3787.00,673,0\r\n2006-02-22,13:44:00,3787.00,3787.00,3786.00,3787.00,207,0\r\n2006-02-22,13:45:00,3787.00,3787.00,3786.00,3786.00,24,0\r\n2006-02-22,13:46:00,3787.00,3787.00,3786.00,3786.00,2,0\r\n2006-02-22,13:47:00,3787.00,3787.00,3787.00,3787.00,53,0\r\n2006-02-22,13:48:00,3787.00,3787.00,3787.00,3787.00,3,0\r\n2006-02-22,13:49:00,3787.00,3788.00,3786.00,3788.00,1326,0\r\n2006-02-22,13:50:00,3788.00,3789.00,3788.00,3788.00,1269,0\r\n2006-02-22,13:51:00,3788.00,3788.00,3788.00,3788.00,1,0\r\n2006-02-22,13:52:00,3788.00,3788.00,3788.00,3788.00,56,0\r\n2006-02-22,13:53:00,3788.00,3788.00,3788.00,3788.00,50,0\r\n2006-02-22,13:54:00,3789.00,3789.00,3789.00,3789.00,3,0\r\n2006-02-22,13:55:00,3788.00,3788.00,3788.00,3788.00,115,0\r\n2006-02-22,13:56:00,3788.00,3792.00,3788.00,3790.00,1954,0\r\n2006-02-22,13:57:00,3791.00,3791.00,3790.00,3790.00,56,0\r\n2006-02-22,13:58:00,3791.00,3794.00,3791.00,3792.00,2377,0\r\n2006-02-22,13:59:00,3792.00,3793.00,3792.00,3793.00,908,0\r\n2006-02-22,14:00:00,3793.00,3793.00,3792.00,3793.00,604,0\r\n2006-02-22,14:01:00,3793.00,3793.00,3792.00,3793.00,248,0\r\n2006-02-22,14:02:00,3792.00,3793.00,3792.00,3792.00,71,0\r\n2006-02-22,14:03:00,3792.00,3793.00,3792.00,3793.00,1201,0\r\n2006-02-22,14:04:00,3792.00,3793.00,3792.00,3792.00,139,0\r\n2006-02-22,14:05:00,3793.00,3793.00,3792.00,3792.00,129,0\r\n2006-02-22,14:06:00,3792.00,3793.00,3792.00,3792.00,414,0\r\n2006-02-22,14:07:00,3793.00,3793.00,3792.00,3793.00,61,0\r\n2006-02-22,14:08:00,3793.00,3793.00,3792.00,3792.00,244,0\r\n2006-02-22,14:09:00,3793.00,3793.00,3792.00,3792.00,290,0\r\n2006-02-22,14:10:00,3792.00,3792.00,3789.00,3789.00,1837,0\r\n2006-02-22,14:11:00,3789.00,3790.00,3789.00,3789.00,240,0\r\n2006-02-22,14:12:00,3790.00,3790.00,3789.00,3789.00,47,0\r\n2006-02-22,14:13:00,3789.00,3790.00,3789.00,3789.00,244,0\r\n2006-02-22,14:14:00,3789.00,3790.00,3789.00,3789.00,377,0\r\n2006-02-22,14:15:00,3790.00,3790.00,3789.00,3789.00,110,0\r\n2006-02-22,14:16:00,3789.00,3789.00,3789.00,3789.00,52,0\r\n2006-02-22,14:17:00,3789.00,3790.00,3789.00,3789.00,152,0\r\n2006-02-22,14:18:00,3789.00,3789.00,3789.00,3789.00,51,0\r\n2006-02-22,14:19:00,3789.00,3789.00,3789.00,3789.00,6,0\r\n2006-02-22,14:20:00,3789.00,3790.00,3789.00,3789.00,5,0\r\n2006-02-22,14:21:00,3789.00,3790.00,3789.00,3789.00,236,0\r\n2006-02-22,14:22:00,3789.00,3789.00,3788.00,3788.00,181,0\r\n2006-02-22,14:24:00,3788.00,3788.00,3788.00,3788.00,1,0\r\n2006-02-22,14:25:00,3788.00,3789.00,3788.00,3788.00,20,0\r\n2006-02-22,14:26:00,3788.00,3789.00,3788.00,3788.00,447,0\r\n2006-02-22,14:27:00,3788.00,3788.00,3787.00,3788.00,384,0\r\n2006-02-22,14:28:00,3789.00,3789.00,3788.00,3788.00,419,0\r\n2006-02-22,14:29:00,3788.00,3788.00,3787.00,3788.00,499,0\r\n2006-02-22,14:30:00,3787.00,3788.00,3786.00,3787.00,501,0\r\n2006-02-22,14:31:00,3787.00,3789.00,3784.00,3788.00,2640,0\r\n2006-02-22,14:32:00,3788.00,3792.00,3788.00,3792.00,2194,0\r\n2006-02-22,14:33:00,3791.00,3791.00,3790.00,3790.00,1953,0\r\n2006-02-22,14:34:00,3789.00,3791.00,3789.00,3789.00,735,0\r\n2006-02-22,14:35:00,3790.00,3790.00,3789.00,3789.00,464,0\r\n2006-02-22,14:36:00,3790.00,3793.00,3789.00,3793.00,1438,0\r\n2006-02-22,14:37:00,3793.00,3793.00,3791.00,3792.00,1436,0\r\n2006-02-22,14:38:00,3792.00,3793.00,3792.00,3792.00,565,0\r\n2006-02-22,14:39:00,3792.00,3792.00,3791.00,3792.00,1071,0\r\n2006-02-22,14:40:00,3792.00,3793.00,3792.00,3793.00,1489,0\r\n2006-02-22,14:41:00,3793.00,3793.00,3792.00,3793.00,1021,0\r\n2006-02-22,14:42:00,3793.00,3793.00,3793.00,3793.00,837,0\r\n2006-02-22,14:43:00,3793.00,3793.00,3791.00,3791.00,1512,0\r\n2006-02-22,14:44:00,3791.00,3793.00,3791.00,3792.00,616,0\r\n2006-02-22,14:45:00,3792.00,3793.00,3792.00,3792.00,960,0\r\n2006-02-22,14:46:00,3792.00,3795.00,3792.00,3795.00,2925,0\r\n2006-02-22,14:47:00,3795.00,3798.00,3794.00,3797.00,3297,0\r\n2006-02-22,14:48:00,3797.00,3797.00,3796.00,3797.00,564,0\r\n2006-02-22,14:49:00,3796.00,3798.00,3795.00,3798.00,2387,0\r\n2006-02-22,14:50:00,3798.00,3800.00,3798.00,3798.00,3378,0\r\n2006-02-22,14:51:00,3798.00,3799.00,3798.00,3799.00,1662,0\r\n2006-02-22,14:52:00,3798.00,3799.00,3798.00,3798.00,935,0\r\n2006-02-22,14:53:00,3798.00,3799.00,3798.00,3798.00,409,0\r\n2006-02-22,14:54:00,3798.00,3798.00,3797.00,3797.00,662,0\r\n2006-02-22,14:55:00,3798.00,3798.00,3797.00,3797.00,634,0\r\n2006-02-22,14:56:00,3798.00,3799.00,3797.00,3798.00,236,0\r\n2006-02-22,14:57:00,3798.00,3799.00,3798.00,3798.00,537,0\r\n2006-02-22,14:58:00,3798.00,3799.00,3798.00,3798.00,668,0\r\n2006-02-22,14:59:00,3797.00,3797.00,3797.00,3797.00,104,0\r\n2006-02-22,15:00:00,3797.00,3798.00,3797.00,3798.00,126,0\r\n2006-02-22,15:01:00,3798.00,3798.00,3797.00,3797.00,240,0\r\n2006-02-22,15:02:00,3798.00,3798.00,3796.00,3797.00,465,0\r\n2006-02-22,15:03:00,3797.00,3798.00,3797.00,3798.00,30,0\r\n2006-02-22,15:04:00,3797.00,3798.00,3797.00,3797.00,263,0\r\n2006-02-22,15:05:00,3798.00,3798.00,3796.00,3797.00,286,0\r\n2006-02-22,15:06:00,3796.00,3797.00,3796.00,3796.00,263,0\r\n2006-02-22,15:07:00,3796.00,3796.00,3796.00,3796.00,224,0\r\n2006-02-22,15:08:00,3796.00,3797.00,3796.00,3796.00,47,0\r\n2006-02-22,15:09:00,3797.00,3798.00,3797.00,3797.00,684,0\r\n2006-02-22,15:10:00,3797.00,3797.00,3797.00,3797.00,269,0\r\n2006-02-22,15:11:00,3796.00,3797.00,3796.00,3796.00,478,0\r\n2006-02-22,15:12:00,3796.00,3797.00,3796.00,3796.00,351,0\r\n2006-02-22,15:13:00,3797.00,3797.00,3796.00,3796.00,8,0\r\n2006-02-22,15:14:00,3797.00,3797.00,3796.00,3796.00,712,0\r\n2006-02-22,15:15:00,3796.00,3796.00,3795.00,3796.00,736,0\r\n2006-02-22,15:16:00,3796.00,3797.00,3795.00,3796.00,217,0\r\n2006-02-22,15:17:00,3796.00,3796.00,3796.00,3796.00,114,0\r\n2006-02-22,15:18:00,3796.00,3797.00,3796.00,3796.00,335,0\r\n2006-02-22,15:19:00,3795.00,3796.00,3795.00,3796.00,313,0\r\n2006-02-22,15:20:00,3796.00,3797.00,3796.00,3796.00,207,0\r\n2006-02-22,15:21:00,3796.00,3797.00,3796.00,3796.00,66,0\r\n2006-02-22,15:22:00,3796.00,3797.00,3796.00,3796.00,699,0\r\n2006-02-22,15:23:00,3797.00,3800.00,3797.00,3799.00,2032,0\r\n2006-02-22,15:24:00,3799.00,3799.00,3798.00,3799.00,515,0\r\n2006-02-22,15:25:00,3799.00,3800.00,3799.00,3799.00,86,0\r\n2006-02-22,15:26:00,3799.00,3800.00,3799.00,3799.00,794,0\r\n2006-02-22,15:27:00,3799.00,3799.00,3798.00,3799.00,62,0\r\n2006-02-22,15:28:00,3798.00,3798.00,3798.00,3798.00,102,0\r\n2006-02-22,15:29:00,3798.00,3799.00,3798.00,3799.00,1623,0\r\n2006-02-22,15:30:00,3799.00,3799.00,3799.00,3799.00,1018,0\r\n2006-02-22,15:31:00,3798.00,3799.00,3798.00,3799.00,2191,0\r\n2006-02-22,15:32:00,3798.00,3799.00,3798.00,3798.00,343,0\r\n2006-02-22,15:33:00,3798.00,3799.00,3797.00,3797.00,798,0\r\n2006-02-22,15:34:00,3797.00,3798.00,3797.00,3797.00,276,0\r\n2006-02-22,15:35:00,3797.00,3800.00,3797.00,3799.00,2161,0\r\n2006-02-22,15:36:00,3798.00,3798.00,3797.00,3798.00,1208,0\r\n2006-02-22,15:37:00,3798.00,3799.00,3797.00,3799.00,586,0\r\n2006-02-22,15:38:00,3799.00,3800.00,3798.00,3799.00,514,0\r\n2006-02-22,15:39:00,3799.00,3801.00,3799.00,3801.00,976,0\r\n2006-02-22,15:40:00,3800.00,3802.00,3800.00,3801.00,4124,0\r\n2006-02-22,15:41:00,3802.00,3803.00,3801.00,3803.00,3406,0\r\n2006-02-22,15:42:00,3803.00,3803.00,3801.00,3802.00,837,0\r\n2006-02-22,15:43:00,3802.00,3805.00,3802.00,3804.00,2819,0\r\n2006-02-22,15:44:00,3804.00,3804.00,3802.00,3803.00,2036,0\r\n2006-02-22,15:45:00,3802.00,3804.00,3802.00,3803.00,1955,0\r\n2006-02-22,15:46:00,3803.00,3804.00,3802.00,3804.00,12254,0\r\n2006-02-22,15:47:00,3804.00,3804.00,3802.00,3803.00,2217,0\r\n2006-02-22,15:48:00,3803.00,3804.00,3802.00,3803.00,1918,0\r\n2006-02-22,15:49:00,3803.00,3804.00,3801.00,3801.00,1490,0\r\n2006-02-22,15:50:00,3802.00,3803.00,3802.00,3802.00,1073,0\r\n2006-02-22,15:51:00,3801.00,3802.00,3801.00,3801.00,329,0\r\n2006-02-22,15:52:00,3802.00,3802.00,3799.00,3799.00,2129,0\r\n2006-02-22,15:53:00,3799.00,3800.00,3798.00,3799.00,1739,0\r\n2006-02-22,15:54:00,3800.00,3800.00,3798.00,3799.00,2621,0\r\n2006-02-22,15:55:00,3798.00,3798.00,3797.00,3798.00,945,0\r\n2006-02-22,15:56:00,3797.00,3797.00,3796.00,3796.00,980,0\r\n2006-02-22,15:57:00,3796.00,3798.00,3796.00,3798.00,1546,0\r\n2006-02-22,15:58:00,3799.00,3799.00,3798.00,3798.00,859,0\r\n2006-02-22,15:59:00,3798.00,3800.00,3798.00,3798.00,829,0\r\n2006-02-22,16:00:00,3798.00,3799.00,3796.00,3797.00,1180,0\r\n2006-02-22,16:01:00,3796.00,3798.00,3795.00,3796.00,2189,0\r\n2006-02-22,16:02:00,3796.00,3799.00,3795.00,3798.00,1960,0\r\n2006-02-22,16:03:00,3798.00,3799.00,3798.00,3799.00,2101,0\r\n2006-02-22,16:04:00,3799.00,3800.00,3797.00,3797.00,3271,0\r\n2006-02-22,16:05:00,3797.00,3804.00,3797.00,3803.00,5501,0\r\n2006-02-22,16:06:00,3803.00,3804.00,3801.00,3802.00,2280,0\r\n2006-02-22,16:07:00,3803.00,3805.00,3801.00,3803.00,2197,0\r\n2006-02-22,16:08:00,3803.00,3806.00,3803.00,3805.00,6330,0\r\n2006-02-22,16:09:00,3805.00,3805.00,3803.00,3805.00,2820,0\r\n2006-02-22,16:10:00,3805.00,3805.00,3802.00,3804.00,1868,0\r\n2006-02-22,16:11:00,3803.00,3804.00,3802.00,3804.00,1969,0\r\n2006-02-22,16:12:00,3803.00,3806.00,3803.00,3804.00,2926,0\r\n2006-02-22,16:13:00,3805.00,3807.00,3804.00,3807.00,1986,0\r\n2006-02-22,16:14:00,3807.00,3807.00,3804.00,3806.00,1783,0\r\n2006-02-22,16:15:00,3805.00,3807.00,3805.00,3806.00,897,0\r\n2006-02-22,16:16:00,3806.00,3808.00,3805.00,3808.00,3434,0\r\n2006-02-22,16:17:00,3808.00,3808.00,3806.00,3807.00,1146,0\r\n2006-02-22,16:18:00,3807.00,3808.00,3806.00,3807.00,1108,0\r\n2006-02-22,16:19:00,3807.00,3807.00,3806.00,3807.00,1436,0\r\n2006-02-22,16:20:00,3807.00,3811.00,3807.00,3809.00,6277,0\r\n2006-02-22,16:21:00,3810.00,3811.00,3809.00,3810.00,3878,0\r\n2006-02-22,16:22:00,3810.00,3813.00,3810.00,3812.00,4993,0\r\n2006-02-22,16:23:00,3813.00,3813.00,3811.00,3811.00,5486,0\r\n2006-02-22,16:24:00,3812.00,3813.00,3811.00,3813.00,1999,0\r\n2006-02-22,16:25:00,3813.00,3813.00,3811.00,3811.00,1171,0\r\n2006-02-22,16:26:00,3811.00,3812.00,3809.00,3810.00,2874,0\r\n2006-02-22,16:27:00,3809.00,3811.00,3809.00,3811.00,1781,0\r\n2006-02-22,16:28:00,3811.00,3811.00,3809.00,3810.00,1153,0\r\n2006-02-22,16:29:00,3809.00,3810.00,3808.00,3809.00,1988,0\r\n2006-02-22,16:30:00,3810.00,3811.00,3809.00,3810.00,3784,0\r\n2006-02-22,16:31:00,3809.00,3811.00,3809.00,3810.00,3268,0\r\n2006-02-22,16:32:00,3811.00,3813.00,3811.00,3811.00,4937,0\r\n2006-02-22,16:33:00,3811.00,3811.00,3808.00,3809.00,4738,0\r\n2006-02-22,16:34:00,3808.00,3808.00,3806.00,3807.00,2517,0\r\n2006-02-22,16:35:00,3806.00,3809.00,3806.00,3809.00,1926,0\r\n2006-02-22,16:36:00,3809.00,3809.00,3808.00,3809.00,1339,0\r\n2006-02-22,16:37:00,3808.00,3810.00,3808.00,3810.00,937,0\r\n2006-02-22,16:38:00,3810.00,3810.00,3809.00,3809.00,936,0\r\n2006-02-22,16:39:00,3809.00,3810.00,3808.00,3809.00,1011,0\r\n2006-02-22,16:40:00,3808.00,3810.00,3808.00,3809.00,529,0\r\n2006-02-22,16:41:00,3809.00,3809.00,3807.00,3808.00,812,0\r\n2006-02-22,16:42:00,3807.00,3808.00,3807.00,3808.00,529,0\r\n2006-02-22,16:43:00,3807.00,3810.00,3807.00,3809.00,1131,0\r\n2006-02-22,16:44:00,3810.00,3810.00,3807.00,3808.00,1007,0\r\n2006-02-22,16:45:00,3808.00,3808.00,3807.00,3808.00,406,0\r\n2006-02-22,16:46:00,3807.00,3809.00,3807.00,3809.00,220,0\r\n2006-02-22,16:47:00,3808.00,3810.00,3808.00,3810.00,1311,0\r\n2006-02-22,16:48:00,3810.00,3810.00,3808.00,3809.00,2268,0\r\n2006-02-22,16:49:00,3809.00,3810.00,3809.00,3809.00,179,0\r\n2006-02-22,16:50:00,3809.00,3810.00,3808.00,3809.00,1596,0\r\n2006-02-22,16:51:00,3809.00,3810.00,3808.00,3809.00,868,0\r\n2006-02-22,16:52:00,3809.00,3811.00,3808.00,3811.00,2332,0\r\n2006-02-22,16:53:00,3811.00,3814.00,3811.00,3814.00,2584,0\r\n2006-02-22,16:54:00,3814.00,3814.00,3813.00,3813.00,1180,0\r\n2006-02-22,16:55:00,3813.00,3815.00,3813.00,3815.00,789,0\r\n2006-02-22,16:56:00,3815.00,3815.00,3812.00,3814.00,2090,0\r\n2006-02-22,16:57:00,3815.00,3815.00,3814.00,3814.00,1393,0\r\n2006-02-22,16:58:00,3815.00,3816.00,3814.00,3816.00,2115,0\r\n2006-02-22,16:59:00,3816.00,3817.00,3815.00,3816.00,3525,0\r\n2006-02-22,17:00:00,3816.00,3817.00,3815.00,3817.00,1281,0\r\n2006-02-22,17:01:00,3817.00,3819.00,3817.00,3817.00,3911,0\r\n2006-02-22,17:02:00,3818.00,3819.00,3817.00,3818.00,2918,0\r\n2006-02-22,17:03:00,3817.00,3818.00,3816.00,3817.00,1672,0\r\n2006-02-22,17:04:00,3817.00,3818.00,3816.00,3817.00,2046,0\r\n2006-02-22,17:05:00,3817.00,3818.00,3817.00,3818.00,1337,0\r\n2006-02-22,17:06:00,3817.00,3818.00,3816.00,3816.00,854,0\r\n2006-02-22,17:07:00,3817.00,3817.00,3815.00,3816.00,938,0\r\n2006-02-22,17:08:00,3816.00,3816.00,3814.00,3814.00,1633,0\r\n2006-02-22,17:09:00,3814.00,3815.00,3814.00,3814.00,636,0\r\n2006-02-22,17:10:00,3814.00,3815.00,3814.00,3814.00,1081,0\r\n2006-02-22,17:11:00,3814.00,3815.00,3814.00,3815.00,1589,0\r\n2006-02-22,17:12:00,3815.00,3816.00,3814.00,3816.00,1014,0\r\n2006-02-22,17:13:00,3816.00,3817.00,3815.00,3816.00,1111,0\r\n2006-02-22,17:14:00,3815.00,3816.00,3815.00,3816.00,661,0\r\n2006-02-22,17:15:00,3815.00,3816.00,3814.00,3816.00,799,0\r\n2006-02-22,17:16:00,3815.00,3817.00,3815.00,3816.00,797,0\r\n2006-02-22,17:17:00,3816.00,3816.00,3814.00,3815.00,1759,0\r\n2006-02-22,17:18:00,3815.00,3816.00,3814.00,3815.00,1619,0\r\n2006-02-22,17:19:00,3814.00,3816.00,3814.00,3815.00,1282,0\r\n2006-02-22,17:20:00,3815.00,3817.00,3815.00,3815.00,1347,0\r\n2006-02-22,17:21:00,3815.00,3820.00,3815.00,3820.00,5880,0\r\n2006-02-22,17:22:00,3819.00,3820.00,3819.00,3820.00,2023,0\r\n2006-02-22,17:23:00,3819.00,3821.00,3819.00,3821.00,4606,0\r\n2006-02-22,17:24:00,3821.00,3822.00,3820.00,3822.00,2877,0\r\n2006-02-22,17:25:00,3822.00,3822.00,3821.00,3821.00,2859,0\r\n2006-02-22,17:26:00,3820.00,3821.00,3819.00,3820.00,2674,0\r\n2006-02-22,17:27:00,3819.00,3822.00,3819.00,3820.00,2640,0\r\n2006-02-22,17:28:00,3820.00,3821.00,3820.00,3821.00,1818,0\r\n2006-02-22,17:29:00,3820.00,3822.00,3820.00,3820.00,2582,0\r\n2006-02-22,17:30:00,3821.00,3823.00,3820.00,3822.00,8668,0\r\n2006-02-22,17:31:00,3822.00,3824.00,3821.00,3824.00,6585,0\r\n2006-02-22,17:32:00,3823.00,3825.00,3823.00,3824.00,1637,0\r\n2006-02-22,17:33:00,3824.00,3827.00,3824.00,3824.00,7399,0\r\n2006-02-22,17:34:00,3824.00,3825.00,3824.00,3824.00,1982,0\r\n2006-02-22,17:35:00,3824.00,3825.00,3823.00,3824.00,796,0\r\n2006-02-22,17:36:00,3824.00,3824.00,3823.00,3824.00,400,0\r\n2006-02-22,17:37:00,3823.00,3824.00,3822.00,3822.00,2151,0\r\n2006-02-22,17:38:00,3822.00,3823.00,3821.00,3821.00,1297,0\r\n2006-02-22,17:39:00,3822.00,3822.00,3820.00,3821.00,1303,0\r\n2006-02-22,17:40:00,3821.00,3822.00,3820.00,3821.00,851,0\r\n2006-02-22,17:41:00,3820.00,3822.00,3820.00,3821.00,1419,0\r\n2006-02-22,17:42:00,3821.00,3822.00,3821.00,3821.00,3735,0\r\n2006-02-22,17:43:00,3822.00,3822.00,3821.00,3822.00,846,0\r\n2006-02-22,17:44:00,3822.00,3822.00,3821.00,3822.00,408,0\r\n2006-02-22,17:45:00,3822.00,3823.00,3821.00,3822.00,347,0\r\n2006-02-22,17:46:00,3823.00,3823.00,3822.00,3822.00,118,0\r\n2006-02-22,17:47:00,3822.00,3822.00,3821.00,3821.00,179,0\r\n2006-02-22,17:48:00,3821.00,3822.00,3821.00,3821.00,124,0\r\n2006-02-22,17:49:00,3822.00,3823.00,3821.00,3822.00,1125,0\r\n2006-02-22,17:50:00,3823.00,3825.00,3823.00,3824.00,860,0\r\n2006-02-22,17:51:00,3823.00,3824.00,3823.00,3823.00,659,0\r\n2006-02-22,17:52:00,3824.00,3824.00,3823.00,3823.00,440,0\r\n2006-02-22,17:53:00,3824.00,3824.00,3824.00,3824.00,52,0\r\n2006-02-22,17:54:00,3823.00,3823.00,3822.00,3823.00,690,0\r\n2006-02-22,17:55:00,3823.00,3824.00,3823.00,3824.00,750,0\r\n2006-02-22,17:56:00,3823.00,3823.00,3822.00,3823.00,411,0\r\n2006-02-22,17:57:00,3823.00,3823.00,3822.00,3822.00,86,0\r\n2006-02-22,17:58:00,3822.00,3824.00,3822.00,3822.00,420,0\r\n2006-02-22,17:59:00,3823.00,3824.00,3822.00,3823.00,757,0\r\n2006-02-22,18:00:00,3824.00,3824.00,3822.00,3822.00,848,0\r\n2006-02-22,18:01:00,3822.00,3822.00,3821.00,3821.00,515,0\r\n2006-02-22,18:02:00,3821.00,3823.00,3821.00,3822.00,426,0\r\n2006-02-22,18:03:00,3823.00,3824.00,3823.00,3824.00,511,0\r\n2006-02-22,18:04:00,3824.00,3824.00,3823.00,3823.00,551,0\r\n2006-02-22,18:05:00,3823.00,3823.00,3822.00,3822.00,70,0\r\n2006-02-22,18:06:00,3822.00,3823.00,3822.00,3823.00,257,0\r\n2006-02-22,18:07:00,3823.00,3824.00,3823.00,3824.00,299,0\r\n2006-02-22,18:08:00,3824.00,3824.00,3824.00,3824.00,126,0\r\n2006-02-22,18:09:00,3824.00,3825.00,3823.00,3823.00,252,0\r\n2006-02-22,18:10:00,3823.00,3824.00,3823.00,3824.00,150,0\r\n2006-02-22,18:11:00,3824.00,3827.00,3824.00,3825.00,771,0\r\n2006-02-22,18:12:00,3825.00,3828.00,3825.00,3827.00,981,0\r\n2006-02-22,18:13:00,3827.00,3828.00,3826.00,3827.00,545,0\r\n2006-02-22,18:14:00,3827.00,3827.00,3827.00,3827.00,1801,0\r\n2006-02-22,18:15:00,3827.00,3828.00,3826.00,3827.00,121,0\r\n2006-02-22,18:16:00,3828.00,3828.00,3826.00,3826.00,856,0\r\n2006-02-22,18:17:00,3826.00,3827.00,3826.00,3826.00,18,0\r\n2006-02-22,18:18:00,3827.00,3828.00,3826.00,3827.00,1290,0\r\n2006-02-22,18:19:00,3826.00,3827.00,3826.00,3827.00,99,0\r\n2006-02-22,18:20:00,3827.00,3828.00,3827.00,3828.00,347,0\r\n2006-02-22,18:21:00,3828.00,3829.00,3827.00,3828.00,472,0\r\n2006-02-22,18:22:00,3828.00,3828.00,3827.00,3827.00,413,0\r\n2006-02-22,18:23:00,3827.00,3828.00,3827.00,3827.00,799,0\r\n2006-02-22,18:24:00,3827.00,3827.00,3827.00,3827.00,466,0\r\n2006-02-22,18:25:00,3827.00,3827.00,3826.00,3827.00,392,0\r\n2006-02-22,18:26:00,3827.00,3827.00,3826.00,3827.00,78,0\r\n2006-02-22,18:27:00,3826.00,3826.00,3825.00,3826.00,279,0\r\n2006-02-22,18:28:00,3825.00,3826.00,3825.00,3826.00,329,0\r\n2006-02-22,18:29:00,3826.00,3826.00,3825.00,3825.00,159,0\r\n2006-02-22,18:30:00,3826.00,3826.00,3824.00,3825.00,799,0\r\n2006-02-22,18:31:00,3824.00,3824.00,3823.00,3823.00,328,0\r\n2006-02-22,18:32:00,3824.00,3825.00,3824.00,3825.00,419,0\r\n2006-02-22,18:33:00,3824.00,3825.00,3824.00,3825.00,220,0\r\n2006-02-22,18:34:00,3825.00,3825.00,3824.00,3824.00,1474,0\r\n2006-02-22,18:35:00,3824.00,3824.00,3824.00,3824.00,120,0\r\n2006-02-22,18:36:00,3824.00,3826.00,3824.00,3826.00,350,0\r\n2006-02-22,18:37:00,3826.00,3826.00,3824.00,3824.00,198,0\r\n2006-02-22,18:38:00,3824.00,3825.00,3824.00,3825.00,16,0\r\n2006-02-22,18:39:00,3825.00,3826.00,3825.00,3826.00,136,0\r\n2006-02-22,18:40:00,3826.00,3826.00,3826.00,3826.00,160,0\r\n2006-02-22,18:41:00,3825.00,3826.00,3825.00,3826.00,149,0\r\n2006-02-22,18:42:00,3826.00,3826.00,3825.00,3826.00,243,0\r\n2006-02-22,18:43:00,3827.00,3828.00,3826.00,3826.00,151,0\r\n2006-02-22,18:44:00,3826.00,3827.00,3826.00,3826.00,343,0\r\n2006-02-22,18:45:00,3826.00,3826.00,3826.00,3826.00,35,0\r\n2006-02-22,18:46:00,3826.00,3826.00,3826.00,3826.00,341,0\r\n2006-02-22,18:47:00,3826.00,3827.00,3826.00,3826.00,231,0\r\n2006-02-22,18:48:00,3827.00,3827.00,3827.00,3827.00,178,0\r\n2006-02-22,18:49:00,3827.00,3827.00,3826.00,3827.00,316,0\r\n2006-02-22,18:50:00,3826.00,3827.00,3826.00,3827.00,2,0\r\n2006-02-22,18:51:00,3827.00,3827.00,3827.00,3827.00,159,0\r\n2006-02-22,18:52:00,3827.00,3827.00,3826.00,3827.00,236,0\r\n2006-02-22,18:53:00,3826.00,3826.00,3826.00,3826.00,105,0\r\n2006-02-22,18:54:00,3826.00,3826.00,3826.00,3826.00,284,0\r\n2006-02-22,18:55:00,3825.00,3825.00,3824.00,3824.00,586,0\r\n2006-02-22,18:56:00,3824.00,3824.00,3822.00,3823.00,1832,0\r\n2006-02-22,18:57:00,3823.00,3823.00,3821.00,3823.00,385,0\r\n2006-02-22,18:58:00,3823.00,3823.00,3822.00,3822.00,101,0\r\n2006-02-22,18:59:00,3823.00,3824.00,3823.00,3824.00,246,0\r\n2006-02-22,19:00:00,3823.00,3823.00,3822.00,3822.00,237,0\r\n2006-02-22,19:01:00,3822.00,3824.00,3822.00,3824.00,171,0\r\n2006-02-22,19:02:00,3824.00,3825.00,3824.00,3824.00,640,0\r\n2006-02-22,19:04:00,3824.00,3825.00,3824.00,3825.00,196,0\r\n2006-02-22,19:05:00,3824.00,3824.00,3824.00,3824.00,185,0\r\n2006-02-22,19:06:00,3824.00,3824.00,3824.00,3824.00,1,0\r\n2006-02-22,19:07:00,3825.00,3825.00,3824.00,3825.00,964,0\r\n2006-02-22,19:08:00,3825.00,3826.00,3825.00,3825.00,375,0\r\n2006-02-22,19:09:00,3824.00,3825.00,3824.00,3825.00,255,0\r\n2006-02-22,19:10:00,3825.00,3825.00,3825.00,3825.00,152,0\r\n2006-02-22,19:11:00,3825.00,3825.00,3824.00,3824.00,160,0\r\n2006-02-22,19:12:00,3824.00,3824.00,3824.00,3824.00,50,0\r\n2006-02-22,19:13:00,3825.00,3825.00,3825.00,3825.00,85,0\r\n2006-02-22,19:14:00,3825.00,3825.00,3825.00,3825.00,220,0\r\n2006-02-22,19:15:00,3825.00,3825.00,3824.00,3824.00,248,0\r\n2006-02-22,19:16:00,3824.00,3824.00,3824.00,3824.00,58,0\r\n2006-02-22,19:17:00,3825.00,3825.00,3824.00,3824.00,92,0\r\n2006-02-22,19:18:00,3825.00,3825.00,3825.00,3825.00,2,0\r\n2006-02-22,19:19:00,3825.00,3825.00,3824.00,3824.00,71,0\r\n2006-02-22,19:20:00,3824.00,3824.00,3823.00,3823.00,59,0\r\n2006-02-22,19:21:00,3823.00,3823.00,3823.00,3823.00,11,0\r\n2006-02-22,19:22:00,3823.00,3824.00,3823.00,3824.00,72,0\r\n2006-02-22,19:23:00,3824.00,3824.00,3824.00,3824.00,100,0\r\n2006-02-22,19:24:00,3824.00,3824.00,3824.00,3824.00,146,0\r\n2006-02-22,19:25:00,3825.00,3825.00,3825.00,3825.00,43,0\r\n2006-02-22,19:27:00,3824.00,3824.00,3824.00,3824.00,7,0\r\n2006-02-22,19:28:00,3824.00,3824.00,3824.00,3824.00,1,0\r\n2006-02-22,19:29:00,3824.00,3825.00,3824.00,3825.00,21,0\r\n2006-02-22,19:30:00,3825.00,3826.00,3825.00,3826.00,131,0\r\n2006-02-22,19:31:00,3825.00,3825.00,3824.00,3824.00,139,0\r\n2006-02-22,19:32:00,3824.00,3824.00,3824.00,3824.00,54,0\r\n2006-02-22,19:33:00,3824.00,3824.00,3824.00,3824.00,10,0\r\n2006-02-22,19:34:00,3824.00,3824.00,3824.00,3824.00,30,0\r\n2006-02-22,19:35:00,3825.00,3825.00,3822.00,3822.00,395,0\r\n2006-02-22,19:36:00,3822.00,3823.00,3822.00,3823.00,95,0\r\n2006-02-22,19:37:00,3823.00,3823.00,3823.00,3823.00,54,0\r\n2006-02-22,19:38:00,3823.00,3823.00,3822.00,3822.00,57,0\r\n2006-02-22,19:39:00,3822.00,3823.00,3822.00,3822.00,14,0\r\n2006-02-22,19:40:00,3823.00,3823.00,3823.00,3823.00,18,0\r\n2006-02-22,19:41:00,3822.00,3822.00,3821.00,3821.00,107,0\r\n2006-02-22,19:42:00,3821.00,3822.00,3821.00,3822.00,122,0\r\n2006-02-22,19:43:00,3822.00,3822.00,3821.00,3822.00,376,0\r\n2006-02-22,19:44:00,3822.00,3823.00,3822.00,3822.00,229,0\r\n2006-02-22,19:45:00,3822.00,3822.00,3821.00,3821.00,681,0\r\n2006-02-22,19:46:00,3821.00,3823.00,3821.00,3823.00,198,0\r\n2006-02-22,19:47:00,3822.00,3823.00,3822.00,3823.00,64,0\r\n2006-02-22,19:48:00,3823.00,3823.00,3822.00,3822.00,129,0\r\n2006-02-22,19:50:00,3822.00,3822.00,3822.00,3822.00,3,0\r\n2006-02-22,19:51:00,3822.00,3823.00,3822.00,3823.00,2,0\r\n2006-02-22,19:52:00,3823.00,3823.00,3823.00,3823.00,80,0\r\n2006-02-22,19:53:00,3823.00,3823.00,3822.00,3822.00,19,0\r\n2006-02-22,19:54:00,3822.00,3823.00,3822.00,3823.00,75,0\r\n2006-02-22,19:55:00,3823.00,3823.00,3822.00,3823.00,25,0\r\n2006-02-22,19:56:00,3822.00,3822.00,3822.00,3822.00,195,0\r\n2006-02-22,19:57:00,3822.00,3822.00,3822.00,3822.00,86,0\r\n2006-02-22,19:58:00,3822.00,3822.00,3821.00,3822.00,141,0\r\n2006-02-22,19:59:00,3822.00,3823.00,3821.00,3822.00,353,0\r\n2006-02-22,20:00:00,3823.00,3823.00,3822.00,3822.00,46,0\r\n2006-02-22,20:01:00,3823.00,3823.00,3823.00,3823.00,13,0\r\n2006-02-22,20:02:00,3822.00,3822.00,3822.00,3822.00,7,0\r\n2006-02-22,20:03:00,3822.00,3822.00,3822.00,3822.00,220,0\r\n2006-02-22,20:04:00,3821.00,3821.00,3821.00,3821.00,21,0\r\n2006-02-22,20:06:00,3822.00,3822.00,3822.00,3822.00,4,0\r\n2006-02-22,20:07:00,3822.00,3822.00,3822.00,3822.00,24,0\r\n2006-02-22,20:08:00,3821.00,3822.00,3821.00,3822.00,10,0\r\n2006-02-22,20:09:00,3822.00,3822.00,3822.00,3822.00,20,0\r\n2006-02-22,20:10:00,3822.00,3822.00,3822.00,3822.00,59,0\r\n2006-02-22,20:12:00,3823.00,3824.00,3823.00,3824.00,59,0\r\n2006-02-22,20:13:00,3824.00,3825.00,3824.00,3825.00,174,0\r\n2006-02-22,20:14:00,3825.00,3826.00,3825.00,3826.00,120,0\r\n2006-02-22,20:15:00,3826.00,3826.00,3825.00,3826.00,355,0\r\n2006-02-22,20:16:00,3826.00,3826.00,3825.00,3826.00,77,0\r\n2006-02-22,20:17:00,3826.00,3826.00,3825.00,3825.00,214,0\r\n2006-02-22,20:19:00,3826.00,3827.00,3826.00,3827.00,31,0\r\n2006-02-22,20:21:00,3827.00,3827.00,3826.00,3826.00,31,0\r\n2006-02-22,20:22:00,3826.00,3826.00,3826.00,3826.00,5,0\r\n2006-02-22,20:24:00,3826.00,3826.00,3825.00,3825.00,48,0\r\n2006-02-22,20:26:00,3826.00,3826.00,3826.00,3826.00,41,0\r\n2006-02-22,20:27:00,3826.00,3826.00,3826.00,3826.00,7,0\r\n2006-02-22,20:28:00,3827.00,3827.00,3826.00,3826.00,33,0\r\n2006-02-22,20:29:00,3826.00,3826.00,3825.00,3825.00,88,0\r\n2006-02-22,20:30:00,3825.00,3825.00,3823.00,3824.00,70,0\r\n2006-02-22,20:31:00,3824.00,3825.00,3824.00,3825.00,102,0\r\n2006-02-22,20:32:00,3825.00,3825.00,3825.00,3825.00,4,0\r\n2006-02-22,20:33:00,3825.00,3825.00,3825.00,3825.00,16,0\r\n2006-02-22,20:34:00,3824.00,3824.00,3824.00,3824.00,58,0\r\n2006-02-22,20:35:00,3825.00,3825.00,3825.00,3825.00,75,0\r\n2006-02-22,20:36:00,3825.00,3825.00,3824.00,3824.00,9,0\r\n2006-02-22,20:37:00,3825.00,3825.00,3825.00,3825.00,1,0\r\n2006-02-22,20:38:00,3824.00,3824.00,3824.00,3824.00,28,0\r\n2006-02-22,20:39:00,3824.00,3824.00,3823.00,3824.00,5,0\r\n2006-02-22,20:40:00,3824.00,3824.00,3823.00,3823.00,10,0\r\n2006-02-22,20:41:00,3823.00,3824.00,3822.00,3823.00,663,0\r\n2006-02-22,20:42:00,3823.00,3824.00,3823.00,3823.00,32,0\r\n2006-02-22,20:44:00,3823.00,3823.00,3823.00,3823.00,11,0\r\n2006-02-22,20:45:00,3824.00,3826.00,3824.00,3826.00,68,0\r\n2006-02-22,20:46:00,3825.00,3825.00,3825.00,3825.00,11,0\r\n2006-02-22,20:47:00,3825.00,3825.00,3825.00,3825.00,18,0\r\n2006-02-22,20:48:00,3825.00,3825.00,3825.00,3825.00,4,0\r\n2006-02-22,20:50:00,3825.00,3825.00,3825.00,3825.00,21,0\r\n2006-02-22,20:51:00,3825.00,3825.00,3825.00,3825.00,3,0\r\n2006-02-22,20:53:00,3825.00,3825.00,3825.00,3825.00,5,0\r\n2006-02-22,20:55:00,3825.00,3825.00,3825.00,3825.00,10,0\r\n2006-02-22,20:56:00,3826.00,3826.00,3826.00,3826.00,43,0\r\n2006-02-22,20:57:00,3827.00,3827.00,3826.00,3826.00,51,0\r\n2006-02-22,20:58:00,3825.00,3825.00,3825.00,3825.00,39,0\r\n2006-02-22,20:59:00,3825.00,3827.00,3825.00,3827.00,84,0\r\n2006-02-22,21:01:00,3826.00,3826.00,3826.00,3826.00,33,0\r\n2006-02-22,21:02:00,3826.00,3827.00,3826.00,3827.00,71,0\r\n2006-02-22,21:08:00,3827.00,3827.00,3827.00,3827.00,3,0\r\n2006-02-22,21:09:00,3826.00,3826.00,3825.00,3825.00,88,0\r\n2006-02-22,21:10:00,3825.00,3826.00,3824.00,3824.00,103,0\r\n2006-02-22,21:11:00,3824.00,3825.00,3824.00,3825.00,103,0\r\n2006-02-22,21:13:00,3825.00,3825.00,3825.00,3825.00,4,0\r\n2006-02-22,21:14:00,3825.00,3825.00,3825.00,3825.00,2,0\r\n2006-02-22,21:15:00,3825.00,3826.00,3825.00,3825.00,30,0\r\n2006-02-22,21:16:00,3824.00,3824.00,3824.00,3824.00,119,0\r\n2006-02-22,21:17:00,3825.00,3825.00,3825.00,3825.00,52,0\r\n2006-02-22,21:18:00,3826.00,3826.00,3826.00,3826.00,50,0\r\n2006-02-22,21:19:00,3826.00,3826.00,3826.00,3826.00,8,0\r\n2006-02-22,21:20:00,3826.00,3826.00,3826.00,3826.00,40,0\r\n2006-02-22,21:21:00,3826.00,3826.00,3826.00,3826.00,7,0\r\n2006-02-22,21:22:00,3827.00,3827.00,3826.00,3826.00,25,0\r\n2006-02-22,21:23:00,3826.00,3826.00,3826.00,3826.00,14,0\r\n2006-02-22,21:24:00,3826.00,3827.00,3826.00,3827.00,240,0\r\n2006-02-22,21:25:00,3827.00,3827.00,3827.00,3827.00,11,0\r\n2006-02-22,21:26:00,3827.00,3827.00,3827.00,3827.00,17,0\r\n2006-02-22,21:27:00,3827.00,3827.00,3827.00,3827.00,18,0\r\n2006-02-22,21:28:00,3827.00,3827.00,3827.00,3827.00,30,0\r\n2006-02-22,21:29:00,3827.00,3827.00,3826.00,3826.00,265,0\r\n2006-02-22,21:30:00,3826.00,3826.00,3826.00,3826.00,28,0\r\n2006-02-22,21:32:00,3827.00,3828.00,3827.00,3828.00,113,0\r\n2006-02-22,21:33:00,3828.00,3828.00,3828.00,3828.00,222,0\r\n2006-02-22,21:34:00,3828.00,3828.00,3828.00,3828.00,16,0\r\n2006-02-22,21:35:00,3828.00,3828.00,3828.00,3828.00,71,0\r\n2006-02-22,21:36:00,3829.00,3829.00,3829.00,3829.00,24,0\r\n2006-02-22,21:37:00,3829.00,3829.00,3828.00,3829.00,4,0\r\n2006-02-22,21:38:00,3828.00,3828.00,3828.00,3828.00,91,0\r\n2006-02-22,21:39:00,3828.00,3828.00,3828.00,3828.00,30,0\r\n2006-02-22,21:40:00,3828.00,3829.00,3828.00,3829.00,99,0\r\n2006-02-22,21:41:00,3829.00,3829.00,3829.00,3829.00,566,0\r\n2006-02-22,21:42:00,3830.00,3830.00,3829.00,3830.00,286,0\r\n2006-02-22,21:43:00,3829.00,3830.00,3829.00,3830.00,182,0\r\n2006-02-22,21:44:00,3831.00,3831.00,3829.00,3829.00,14,0\r\n2006-02-22,21:45:00,3829.00,3829.00,3829.00,3829.00,1,0\r\n2006-02-22,21:46:00,3830.00,3830.00,3829.00,3829.00,38,0\r\n2006-02-22,21:47:00,3830.00,3831.00,3830.00,3831.00,77,0\r\n2006-02-22,21:48:00,3831.00,3831.00,3831.00,3831.00,1,0\r\n2006-02-22,21:49:00,3830.00,3831.00,3830.00,3830.00,60,0\r\n2006-02-22,21:50:00,3830.00,3830.00,3829.00,3829.00,27,0\r\n2006-02-22,21:51:00,3830.00,3830.00,3829.00,3829.00,13,0\r\n2006-02-22,21:52:00,3829.00,3829.00,3829.00,3829.00,25,0\r\n2006-02-22,21:53:00,3829.00,3829.00,3829.00,3829.00,5,0\r\n2006-02-22,21:54:00,3830.00,3830.00,3829.00,3829.00,18,0\r\n2006-02-22,21:55:00,3830.00,3830.00,3830.00,3830.00,158,0\r\n2006-02-22,21:56:00,3831.00,3831.00,3831.00,3831.00,35,0\r\n2006-02-22,21:57:00,3831.00,3832.00,3831.00,3832.00,303,0\r\n2006-02-22,21:58:00,3831.00,3831.00,3830.00,3830.00,316,0\r\n2006-02-22,21:59:00,3830.00,3831.00,3830.00,3831.00,203,0\r\n2006-02-22,22:00:00,3831.00,3831.00,3829.00,3829.00,785,0\r\n2006-02-23,09:01:00,3829.00,3833.00,3829.00,3833.00,7450,0\r\n2006-02-23,09:02:00,3832.00,3834.00,3830.00,3831.00,4146,0\r\n2006-02-23,09:03:00,3830.00,3830.00,3828.00,3830.00,1474,0\r\n2006-02-23,09:04:00,3829.00,3830.00,3828.00,3829.00,1882,0\r\n2006-02-23,09:05:00,3830.00,3830.00,3828.00,3829.00,1860,0\r\n2006-02-23,09:06:00,3828.00,3829.00,3827.00,3827.00,1739,0\r\n2006-02-23,09:07:00,3827.00,3828.00,3826.00,3826.00,537,0\r\n2006-02-23,09:08:00,3827.00,3827.00,3826.00,3827.00,305,0\r\n2006-02-23,09:09:00,3827.00,3827.00,3826.00,3827.00,992,0\r\n2006-02-23,09:10:00,3827.00,3827.00,3826.00,3827.00,254,0\r\n2006-02-23,09:11:00,3827.00,3827.00,3825.00,3826.00,627,0\r\n2006-02-23,09:12:00,3825.00,3826.00,3823.00,3823.00,2574,0\r\n2006-02-23,09:13:00,3823.00,3825.00,3823.00,3825.00,1149,0\r\n2006-02-23,09:14:00,3824.00,3826.00,3824.00,3826.00,524,0\r\n2006-02-23,09:15:00,3825.00,3826.00,3825.00,3825.00,366,0\r\n2006-02-23,09:16:00,3825.00,3825.00,3823.00,3824.00,1082,0\r\n2006-02-23,09:17:00,3824.00,3824.00,3823.00,3823.00,274,0\r\n2006-02-23,09:18:00,3823.00,3825.00,3823.00,3824.00,2005,0\r\n2006-02-23,09:19:00,3824.00,3825.00,3823.00,3825.00,313,0\r\n2006-02-23,09:20:00,3824.00,3826.00,3824.00,3825.00,1729,0\r\n2006-02-23,09:21:00,3824.00,3827.00,3824.00,3827.00,2473,0\r\n2006-02-23,09:22:00,3827.00,3828.00,3826.00,3827.00,1811,0\r\n2006-02-23,09:23:00,3827.00,3828.00,3827.00,3827.00,2429,0\r\n2006-02-23,09:24:00,3827.00,3829.00,3827.00,3828.00,2415,0\r\n2006-02-23,09:25:00,3828.00,3828.00,3827.00,3828.00,310,0\r\n2006-02-23,09:26:00,3827.00,3828.00,3827.00,3827.00,116,0\r\n2006-02-23,09:27:00,3827.00,3828.00,3827.00,3828.00,431,0\r\n2006-02-23,09:28:00,3827.00,3828.00,3827.00,3828.00,450,0\r\n2006-02-23,09:29:00,3828.00,3828.00,3827.00,3827.00,1079,0\r\n2006-02-23,09:30:00,3827.00,3828.00,3827.00,3827.00,475,0\r\n2006-02-23,09:31:00,3827.00,3830.00,3827.00,3830.00,938,0\r\n2006-02-23,09:32:00,3830.00,3832.00,3829.00,3832.00,2265,0\r\n2006-02-23,09:33:00,3832.00,3832.00,3830.00,3831.00,1100,0\r\n2006-02-23,09:34:00,3831.00,3831.00,3830.00,3831.00,136,0\r\n2006-02-23,09:35:00,3831.00,3831.00,3829.00,3830.00,2996,0\r\n2006-02-23,09:36:00,3831.00,3832.00,3830.00,3830.00,777,0\r\n2006-02-23,09:37:00,3830.00,3831.00,3830.00,3830.00,659,0\r\n2006-02-23,09:38:00,3830.00,3830.00,3829.00,3829.00,1476,0\r\n2006-02-23,09:39:00,3829.00,3830.00,3828.00,3828.00,639,0\r\n2006-02-23,09:40:00,3828.00,3828.00,3828.00,3828.00,446,0\r\n2006-02-23,09:41:00,3829.00,3830.00,3828.00,3830.00,921,0\r\n2006-02-23,09:42:00,3830.00,3830.00,3829.00,3829.00,446,0\r\n2006-02-23,09:43:00,3830.00,3830.00,3829.00,3829.00,383,0\r\n2006-02-23,09:44:00,3829.00,3830.00,3829.00,3829.00,771,0\r\n2006-02-23,09:45:00,3829.00,3830.00,3828.00,3829.00,503,0\r\n2006-02-23,09:46:00,3829.00,3829.00,3828.00,3828.00,95,0\r\n2006-02-23,09:47:00,3829.00,3829.00,3827.00,3827.00,934,0\r\n2006-02-23,09:48:00,3827.00,3827.00,3826.00,3827.00,535,0\r\n2006-02-23,09:49:00,3826.00,3827.00,3825.00,3826.00,712,0\r\n2006-02-23,09:50:00,3826.00,3827.00,3825.00,3825.00,357,0\r\n2006-02-23,09:51:00,3825.00,3827.00,3825.00,3826.00,649,0\r\n2006-02-23,09:52:00,3826.00,3826.00,3825.00,3826.00,332,0\r\n2006-02-23,09:53:00,3827.00,3828.00,3826.00,3828.00,633,0\r\n2006-02-23,09:54:00,3828.00,3829.00,3827.00,3828.00,609,0\r\n2006-02-23,09:55:00,3828.00,3829.00,3827.00,3828.00,250,0\r\n2006-02-23,09:56:00,3828.00,3828.00,3827.00,3827.00,627,0\r\n2006-02-23,09:57:00,3826.00,3828.00,3826.00,3828.00,148,0\r\n2006-02-23,09:58:00,3827.00,3828.00,3827.00,3828.00,459,0\r\n2006-02-23,09:59:00,3828.00,3828.00,3827.00,3827.00,2106,0\r\n2006-02-23,10:00:00,3828.00,3829.00,3828.00,3828.00,712,0\r\n2006-02-23,10:01:00,3829.00,3830.00,3828.00,3828.00,1543,0\r\n2006-02-23,10:02:00,3829.00,3830.00,3828.00,3828.00,2011,0\r\n2006-02-23,10:03:00,3827.00,3830.00,3827.00,3829.00,480,0\r\n2006-02-23,10:04:00,3829.00,3830.00,3828.00,3829.00,741,0\r\n2006-02-23,10:05:00,3829.00,3832.00,3829.00,3832.00,887,0\r\n2006-02-23,10:06:00,3832.00,3834.00,3832.00,3833.00,2716,0\r\n2006-02-23,10:07:00,3833.00,3836.00,3833.00,3835.00,3648,0\r\n2006-02-23,10:08:00,3835.00,3837.00,3834.00,3836.00,2178,0\r\n2006-02-23,10:09:00,3837.00,3838.00,3836.00,3837.00,3334,0\r\n2006-02-23,10:10:00,3837.00,3837.00,3835.00,3835.00,1672,0\r\n2006-02-23,10:11:00,3835.00,3836.00,3835.00,3835.00,1070,0\r\n2006-02-23,10:12:00,3835.00,3836.00,3835.00,3836.00,328,0\r\n2006-02-23,10:13:00,3835.00,3836.00,3834.00,3835.00,832,0\r\n2006-02-23,10:14:00,3836.00,3836.00,3834.00,3835.00,731,0\r\n2006-02-23,10:15:00,3834.00,3836.00,3834.00,3836.00,779,0\r\n2006-02-23,10:16:00,3836.00,3837.00,3835.00,3836.00,728,0\r\n2006-02-23,10:17:00,3836.00,3836.00,3834.00,3835.00,339,0\r\n2006-02-23,10:18:00,3835.00,3835.00,3834.00,3834.00,511,0\r\n2006-02-23,10:19:00,3834.00,3834.00,3833.00,3834.00,255,0\r\n2006-02-23,10:20:00,3835.00,3835.00,3835.00,3835.00,335,0\r\n2006-02-23,10:21:00,3834.00,3835.00,3834.00,3834.00,466,0\r\n2006-02-23,10:22:00,3834.00,3834.00,3833.00,3834.00,667,0\r\n2006-02-23,10:23:00,3833.00,3834.00,3833.00,3833.00,143,0\r\n2006-02-23,10:24:00,3834.00,3835.00,3833.00,3835.00,829,0\r\n2006-02-23,10:25:00,3834.00,3836.00,3834.00,3835.00,1003,0\r\n2006-02-23,10:26:00,3835.00,3835.00,3834.00,3834.00,308,0\r\n2006-02-23,10:27:00,3834.00,3835.00,3833.00,3835.00,396,0\r\n2006-02-23,10:28:00,3835.00,3835.00,3833.00,3834.00,623,0\r\n2006-02-23,10:29:00,3834.00,3834.00,3833.00,3834.00,224,0\r\n2006-02-23,10:30:00,3833.00,3834.00,3833.00,3834.00,1635,0\r\n2006-02-23,10:31:00,3833.00,3834.00,3833.00,3833.00,349,0\r\n2006-02-23,10:32:00,3833.00,3834.00,3833.00,3833.00,278,0\r\n2006-02-23,10:33:00,3833.00,3834.00,3833.00,3834.00,506,0\r\n2006-02-23,10:34:00,3834.00,3834.00,3833.00,3834.00,230,0\r\n2006-02-23,10:35:00,3834.00,3835.00,3834.00,3834.00,596,0\r\n2006-02-23,10:36:00,3833.00,3835.00,3833.00,3834.00,1348,0\r\n2006-02-23,10:37:00,3834.00,3834.00,3832.00,3832.00,1006,0\r\n2006-02-23,10:38:00,3833.00,3833.00,3830.00,3831.00,3356,0\r\n2006-02-23,10:39:00,3831.00,3831.00,3830.00,3831.00,792,0\r\n2006-02-23,10:40:00,3830.00,3831.00,3829.00,3829.00,1145,0\r\n2006-02-23,10:41:00,3830.00,3830.00,3829.00,3829.00,558,0\r\n2006-02-23,10:42:00,3829.00,3830.00,3829.00,3829.00,805,0\r\n2006-02-23,10:43:00,3830.00,3830.00,3828.00,3828.00,1278,0\r\n2006-02-23,10:44:00,3828.00,3829.00,3827.00,3827.00,1247,0\r\n2006-02-23,10:45:00,3828.00,3828.00,3827.00,3827.00,80,0\r\n2006-02-23,10:46:00,3828.00,3828.00,3827.00,3827.00,419,0\r\n2006-02-23,10:47:00,3828.00,3828.00,3826.00,3827.00,1730,0\r\n2006-02-23,10:48:00,3827.00,3827.00,3825.00,3826.00,1148,0\r\n2006-02-23,10:49:00,3826.00,3827.00,3826.00,3827.00,1501,0\r\n2006-02-23,10:50:00,3827.00,3827.00,3826.00,3827.00,884,0\r\n2006-02-23,10:51:00,3826.00,3827.00,3822.00,3823.00,2848,0\r\n2006-02-23,10:52:00,3823.00,3824.00,3821.00,3822.00,2352,0\r\n2006-02-23,10:53:00,3822.00,3823.00,3822.00,3823.00,816,0\r\n2006-02-23,10:54:00,3822.00,3823.00,3822.00,3823.00,388,0\r\n2006-02-23,10:55:00,3823.00,3823.00,3822.00,3823.00,585,0\r\n2006-02-23,10:56:00,3824.00,3824.00,3822.00,3823.00,581,0\r\n2006-02-23,10:57:00,3823.00,3824.00,3822.00,3823.00,582,0\r\n2006-02-23,10:58:00,3823.00,3824.00,3822.00,3823.00,653,0\r\n2006-02-23,10:59:00,3822.00,3822.00,3820.00,3820.00,3424,0\r\n2006-02-23,11:00:00,3821.00,3821.00,3820.00,3821.00,909,0\r\n2006-02-23,11:01:00,3820.00,3820.00,3815.00,3816.00,7185,0\r\n2006-02-23,11:02:00,3816.00,3816.00,3813.00,3815.00,3605,0\r\n2006-02-23,11:03:00,3814.00,3817.00,3814.00,3816.00,2703,0\r\n2006-02-23,11:04:00,3816.00,3817.00,3815.00,3816.00,1252,0\r\n2006-02-23,11:05:00,3816.00,3818.00,3816.00,3817.00,1903,0\r\n2006-02-23,11:06:00,3817.00,3820.00,3817.00,3819.00,1024,0\r\n2006-02-23,11:07:00,3819.00,3821.00,3819.00,3821.00,1742,0\r\n2006-02-23,11:08:00,3821.00,3821.00,3820.00,3820.00,1263,0\r\n2006-02-23,11:09:00,3821.00,3821.00,3819.00,3819.00,706,0\r\n2006-02-23,11:10:00,3819.00,3820.00,3819.00,3819.00,531,0\r\n2006-02-23,11:11:00,3819.00,3821.00,3819.00,3820.00,1162,0\r\n2006-02-23,11:12:00,3820.00,3820.00,3819.00,3819.00,59,0\r\n2006-02-23,11:13:00,3819.00,3820.00,3818.00,3820.00,738,0\r\n2006-02-23,11:14:00,3820.00,3820.00,3819.00,3820.00,31,0\r\n2006-02-23,11:15:00,3819.00,3820.00,3819.00,3820.00,333,0\r\n2006-02-23,11:16:00,3820.00,3821.00,3819.00,3819.00,940,0\r\n2006-02-23,11:17:00,3820.00,3820.00,3819.00,3819.00,256,0\r\n2006-02-23,11:18:00,3819.00,3819.00,3819.00,3819.00,165,0\r\n2006-02-23,11:19:00,3818.00,3819.00,3818.00,3819.00,131,0\r\n2006-02-23,11:20:00,3819.00,3819.00,3818.00,3818.00,123,0\r\n2006-02-23,11:21:00,3818.00,3820.00,3818.00,3819.00,447,0\r\n2006-02-23,11:22:00,3819.00,3819.00,3818.00,3819.00,265,0\r\n2006-02-23,11:23:00,3819.00,3819.00,3818.00,3819.00,226,0\r\n2006-02-23,11:24:00,3819.00,3820.00,3819.00,3820.00,344,0\r\n2006-02-23,11:25:00,3819.00,3820.00,3819.00,3820.00,50,0\r\n2006-02-23,11:26:00,3819.00,3820.00,3819.00,3819.00,278,0\r\n2006-02-23,11:27:00,3820.00,3820.00,3819.00,3820.00,206,0\r\n2006-02-23,11:28:00,3819.00,3820.00,3818.00,3819.00,930,0\r\n2006-02-23,11:29:00,3819.00,3819.00,3817.00,3818.00,856,0\r\n2006-02-23,11:30:00,3818.00,3819.00,3817.00,3818.00,733,0\r\n2006-02-23,11:31:00,3817.00,3818.00,3817.00,3818.00,66,0\r\n2006-02-23,11:32:00,3818.00,3818.00,3817.00,3818.00,74,0\r\n2006-02-23,11:33:00,3817.00,3817.00,3816.00,3817.00,1261,0\r\n2006-02-23,11:34:00,3817.00,3817.00,3815.00,3816.00,1705,0\r\n2006-02-23,11:35:00,3817.00,3817.00,3814.00,3816.00,1659,0\r\n2006-02-23,11:36:00,3816.00,3816.00,3815.00,3816.00,248,0\r\n2006-02-23,11:37:00,3816.00,3817.00,3815.00,3817.00,326,0\r\n2006-02-23,11:38:00,3817.00,3817.00,3816.00,3816.00,925,0\r\n2006-02-23,11:39:00,3816.00,3817.00,3814.00,3814.00,3079,0\r\n2006-02-23,11:40:00,3815.00,3815.00,3812.00,3813.00,4664,0\r\n2006-02-23,11:41:00,3813.00,3814.00,3813.00,3814.00,1023,0\r\n2006-02-23,11:42:00,3814.00,3814.00,3812.00,3813.00,1926,0\r\n2006-02-23,11:43:00,3813.00,3814.00,3813.00,3814.00,1064,0\r\n2006-02-23,11:44:00,3813.00,3814.00,3812.00,3813.00,581,0\r\n2006-02-23,11:45:00,3812.00,3813.00,3811.00,3812.00,1562,0\r\n2006-02-23,11:46:00,3812.00,3813.00,3812.00,3812.00,940,0\r\n2006-02-23,11:47:00,3813.00,3813.00,3812.00,3813.00,539,0\r\n2006-02-23,11:48:00,3814.00,3814.00,3813.00,3814.00,314,0\r\n2006-02-23,11:49:00,3814.00,3814.00,3813.00,3814.00,668,0\r\n2006-02-23,11:50:00,3813.00,3814.00,3812.00,3814.00,802,0\r\n2006-02-23,11:51:00,3813.00,3814.00,3813.00,3814.00,149,0\r\n2006-02-23,11:52:00,3813.00,3813.00,3812.00,3812.00,280,0\r\n2006-02-23,11:53:00,3813.00,3815.00,3813.00,3814.00,996,0\r\n2006-02-23,11:54:00,3815.00,3816.00,3814.00,3815.00,669,0\r\n2006-02-23,11:55:00,3815.00,3816.00,3815.00,3816.00,574,0\r\n2006-02-23,11:56:00,3816.00,3816.00,3815.00,3815.00,412,0\r\n2006-02-23,11:57:00,3815.00,3816.00,3815.00,3816.00,180,0\r\n2006-02-23,11:58:00,3815.00,3816.00,3815.00,3815.00,311,0\r\n2006-02-23,11:59:00,3815.00,3815.00,3815.00,3815.00,1,0\r\n2006-02-23,12:00:00,3815.00,3816.00,3814.00,3815.00,1171,0\r\n2006-02-23,12:01:00,3815.00,3816.00,3814.00,3816.00,427,0\r\n2006-02-23,12:02:00,3815.00,3815.00,3814.00,3815.00,393,0\r\n2006-02-23,12:03:00,3815.00,3815.00,3815.00,3815.00,104,0\r\n2006-02-23,12:04:00,3815.00,3815.00,3814.00,3815.00,618,0\r\n2006-02-23,12:05:00,3816.00,3816.00,3815.00,3815.00,345,0\r\n2006-02-23,12:06:00,3816.00,3817.00,3816.00,3816.00,320,0\r\n2006-02-23,12:07:00,3817.00,3817.00,3817.00,3817.00,458,0\r\n2006-02-23,12:08:00,3817.00,3818.00,3817.00,3818.00,625,0\r\n2006-02-23,12:09:00,3817.00,3818.00,3817.00,3818.00,531,0\r\n2006-02-23,12:10:00,3818.00,3820.00,3818.00,3819.00,822,0\r\n2006-02-23,12:11:00,3819.00,3819.00,3818.00,3819.00,23,0\r\n2006-02-23,12:12:00,3819.00,3819.00,3817.00,3818.00,519,0\r\n2006-02-23,12:13:00,3819.00,3820.00,3818.00,3818.00,221,0\r\n2006-02-23,12:14:00,3818.00,3819.00,3818.00,3818.00,163,0\r\n2006-02-23,12:15:00,3819.00,3819.00,3818.00,3819.00,53,0\r\n2006-02-23,12:16:00,3818.00,3818.00,3817.00,3818.00,257,0\r\n2006-02-23,12:17:00,3818.00,3818.00,3817.00,3817.00,499,0\r\n2006-02-23,12:18:00,3817.00,3818.00,3817.00,3818.00,371,0\r\n2006-02-23,12:19:00,3817.00,3817.00,3817.00,3817.00,457,0\r\n2006-02-23,12:20:00,3817.00,3817.00,3815.00,3816.00,379,0\r\n2006-02-23,12:21:00,3816.00,3816.00,3816.00,3816.00,1212,0\r\n2006-02-23,12:22:00,3816.00,3816.00,3816.00,3816.00,12,0\r\n2006-02-23,12:23:00,3817.00,3817.00,3817.00,3817.00,55,0\r\n2006-02-23,12:24:00,3817.00,3818.00,3816.00,3818.00,183,0\r\n2006-02-23,12:25:00,3817.00,3818.00,3817.00,3818.00,1027,0\r\n2006-02-23,12:26:00,3818.00,3819.00,3817.00,3818.00,669,0\r\n2006-02-23,12:28:00,3818.00,3819.00,3818.00,3818.00,988,0\r\n2006-02-23,12:29:00,3819.00,3819.00,3818.00,3819.00,107,0\r\n2006-02-23,12:30:00,3819.00,3819.00,3819.00,3819.00,15,0\r\n2006-02-23,12:31:00,3819.00,3820.00,3819.00,3819.00,266,0\r\n2006-02-23,12:32:00,3819.00,3819.00,3819.00,3819.00,1658,0\r\n2006-02-23,12:33:00,3819.00,3819.00,3819.00,3819.00,62,0\r\n2006-02-23,12:34:00,3819.00,3819.00,3818.00,3819.00,51,0\r\n2006-02-23,12:35:00,3819.00,3819.00,3818.00,3819.00,79,0\r\n2006-02-23,12:36:00,3819.00,3819.00,3818.00,3819.00,6,0\r\n2006-02-23,12:37:00,3819.00,3819.00,3819.00,3819.00,189,0\r\n2006-02-23,12:38:00,3818.00,3818.00,3818.00,3818.00,441,0\r\n2006-02-23,12:39:00,3818.00,3818.00,3817.00,3817.00,426,0\r\n2006-02-23,12:40:00,3817.00,3817.00,3816.00,3816.00,323,0\r\n2006-02-23,12:41:00,3816.00,3817.00,3816.00,3817.00,64,0\r\n2006-02-23,12:42:00,3816.00,3816.00,3816.00,3816.00,265,0\r\n2006-02-23,12:44:00,3816.00,3817.00,3816.00,3816.00,214,0\r\n2006-02-23,12:45:00,3816.00,3817.00,3816.00,3817.00,22,0\r\n2006-02-23,12:46:00,3816.00,3817.00,3816.00,3816.00,156,0\r\n2006-02-23,12:47:00,3816.00,3816.00,3816.00,3816.00,27,0\r\n2006-02-23,12:49:00,3816.00,3817.00,3816.00,3817.00,549,0\r\n2006-02-23,12:50:00,3816.00,3816.00,3816.00,3816.00,54,0\r\n2006-02-23,12:51:00,3816.00,3816.00,3815.00,3815.00,1091,0\r\n2006-02-23,12:52:00,3815.00,3816.00,3815.00,3816.00,98,0\r\n2006-02-23,12:53:00,3815.00,3815.00,3815.00,3815.00,161,0\r\n2006-02-23,12:54:00,3816.00,3816.00,3815.00,3815.00,173,0\r\n2006-02-23,12:55:00,3815.00,3815.00,3815.00,3815.00,480,0\r\n2006-02-23,12:56:00,3815.00,3816.00,3815.00,3816.00,119,0\r\n2006-02-23,12:57:00,3816.00,3816.00,3816.00,3816.00,83,0\r\n2006-02-23,12:58:00,3816.00,3816.00,3816.00,3816.00,11,0\r\n2006-02-23,12:59:00,3815.00,3815.00,3815.00,3815.00,1,0\r\n2006-02-23,13:00:00,3815.00,3815.00,3815.00,3815.00,52,0\r\n2006-02-23,13:01:00,3815.00,3816.00,3815.00,3815.00,690,0\r\n2006-02-23,13:02:00,3816.00,3816.00,3815.00,3816.00,7,0\r\n2006-02-23,13:03:00,3815.00,3815.00,3815.00,3815.00,547,0\r\n2006-02-23,13:04:00,3815.00,3815.00,3814.00,3815.00,1116,0\r\n2006-02-23,13:05:00,3814.00,3815.00,3814.00,3814.00,297,0\r\n2006-02-23,13:06:00,3814.00,3815.00,3814.00,3815.00,28,0\r\n2006-02-23,13:07:00,3815.00,3815.00,3814.00,3815.00,295,0\r\n2006-02-23,13:08:00,3815.00,3816.00,3815.00,3815.00,493,0\r\n2006-02-23,13:09:00,3815.00,3816.00,3815.00,3816.00,175,0\r\n2006-02-23,13:10:00,3816.00,3816.00,3816.00,3816.00,187,0\r\n2006-02-23,13:11:00,3817.00,3817.00,3817.00,3817.00,202,0\r\n2006-02-23,13:12:00,3817.00,3817.00,3816.00,3816.00,423,0\r\n2006-02-23,13:13:00,3817.00,3818.00,3817.00,3818.00,432,0\r\n2006-02-23,13:14:00,3818.00,3818.00,3817.00,3817.00,102,0\r\n2006-02-23,13:16:00,3817.00,3817.00,3817.00,3817.00,19,0\r\n2006-02-23,13:17:00,3817.00,3818.00,3817.00,3817.00,9,0\r\n2006-02-23,13:18:00,3818.00,3818.00,3817.00,3817.00,54,0\r\n2006-02-23,13:19:00,3818.00,3818.00,3818.00,3818.00,7,0\r\n2006-02-23,13:20:00,3818.00,3818.00,3817.00,3818.00,32,0\r\n2006-02-23,13:21:00,3818.00,3818.00,3818.00,3818.00,39,0\r\n2006-02-23,13:22:00,3818.00,3818.00,3818.00,3818.00,172,0\r\n2006-02-23,13:23:00,3818.00,3818.00,3817.00,3818.00,136,0\r\n2006-02-23,13:25:00,3818.00,3818.00,3818.00,3818.00,1,0\r\n2006-02-23,13:26:00,3818.00,3819.00,3818.00,3819.00,436,0\r\n2006-02-23,13:27:00,3818.00,3819.00,3818.00,3818.00,169,0\r\n2006-02-23,13:28:00,3819.00,3819.00,3818.00,3818.00,222,0\r\n2006-02-23,13:29:00,3817.00,3818.00,3817.00,3817.00,144,0\r\n2006-02-23,13:30:00,3818.00,3818.00,3817.00,3817.00,165,0\r\n2006-02-23,13:31:00,3817.00,3818.00,3817.00,3817.00,176,0\r\n2006-02-23,13:32:00,3817.00,3817.00,3817.00,3817.00,142,0\r\n2006-02-23,13:33:00,3818.00,3818.00,3816.00,3817.00,382,0\r\n2006-02-23,13:34:00,3816.00,3817.00,3816.00,3817.00,153,0\r\n2006-02-23,13:35:00,3818.00,3818.00,3817.00,3817.00,7,0\r\n2006-02-23,13:36:00,3817.00,3818.00,3817.00,3818.00,175,0\r\n2006-02-23,13:37:00,3817.00,3817.00,3817.00,3817.00,3,0\r\n2006-02-23,13:38:00,3818.00,3818.00,3818.00,3818.00,195,0\r\n2006-02-23,13:39:00,3818.00,3819.00,3817.00,3817.00,339,0\r\n2006-02-23,13:40:00,3818.00,3819.00,3818.00,3818.00,167,0\r\n2006-02-23,13:41:00,3818.00,3818.00,3818.00,3818.00,2,0\r\n2006-02-23,13:42:00,3819.00,3819.00,3818.00,3818.00,32,0\r\n2006-02-23,13:43:00,3819.00,3819.00,3818.00,3819.00,20,0\r\n2006-02-23,13:44:00,3819.00,3819.00,3819.00,3819.00,44,0\r\n2006-02-23,13:45:00,3819.00,3820.00,3817.00,3818.00,674,0\r\n2006-02-23,13:46:00,3817.00,3818.00,3817.00,3817.00,415,0\r\n2006-02-23,13:47:00,3816.00,3817.00,3816.00,3816.00,389,0\r\n2006-02-23,13:48:00,3816.00,3817.00,3816.00,3817.00,6,0\r\n2006-02-23,13:49:00,3817.00,3817.00,3816.00,3816.00,17,0\r\n2006-02-23,13:50:00,3816.00,3817.00,3816.00,3817.00,713,0\r\n2006-02-23,13:51:00,3817.00,3817.00,3816.00,3817.00,229,0\r\n2006-02-23,13:52:00,3816.00,3816.00,3815.00,3815.00,203,0\r\n2006-02-23,13:53:00,3816.00,3816.00,3815.00,3816.00,34,0\r\n2006-02-23,13:54:00,3816.00,3816.00,3816.00,3816.00,47,0\r\n2006-02-23,13:55:00,3816.00,3816.00,3815.00,3816.00,246,0\r\n2006-02-23,13:56:00,3816.00,3816.00,3815.00,3815.00,293,0\r\n2006-02-23,13:57:00,3815.00,3817.00,3815.00,3817.00,228,0\r\n2006-02-23,13:58:00,3816.00,3817.00,3816.00,3817.00,71,0\r\n2006-02-23,13:59:00,3817.00,3817.00,3817.00,3817.00,15,0\r\n2006-02-23,14:00:00,3816.00,3816.00,3816.00,3816.00,100,0\r\n2006-02-23,14:01:00,3816.00,3816.00,3816.00,3816.00,405,0\r\n2006-02-23,14:02:00,3817.00,3817.00,3817.00,3817.00,101,0\r\n2006-02-23,14:03:00,3817.00,3818.00,3817.00,3818.00,313,0\r\n2006-02-23,14:04:00,3818.00,3818.00,3817.00,3817.00,286,0\r\n2006-02-23,14:05:00,3818.00,3818.00,3817.00,3817.00,3,0\r\n2006-02-23,14:06:00,3817.00,3820.00,3817.00,3819.00,1672,0\r\n2006-02-23,14:07:00,3819.00,3819.00,3818.00,3818.00,2,0\r\n2006-02-23,14:08:00,3818.00,3818.00,3818.00,3818.00,7,0\r\n2006-02-23,14:09:00,3819.00,3820.00,3819.00,3820.00,1185,0\r\n2006-02-23,14:10:00,3819.00,3821.00,3819.00,3820.00,1356,0\r\n2006-02-23,14:11:00,3820.00,3821.00,3820.00,3821.00,387,0\r\n2006-02-23,14:12:00,3821.00,3821.00,3819.00,3820.00,643,0\r\n2006-02-23,14:13:00,3820.00,3820.00,3819.00,3819.00,112,0\r\n2006-02-23,14:14:00,3820.00,3820.00,3820.00,3820.00,187,0\r\n2006-02-23,14:15:00,3821.00,3821.00,3821.00,3821.00,2,0\r\n2006-02-23,14:16:00,3820.00,3821.00,3820.00,3820.00,184,0\r\n2006-02-23,14:17:00,3821.00,3821.00,3820.00,3820.00,41,0\r\n2006-02-23,14:18:00,3821.00,3821.00,3820.00,3821.00,399,0\r\n2006-02-23,14:19:00,3821.00,3821.00,3820.00,3821.00,170,0\r\n2006-02-23,14:20:00,3820.00,3821.00,3820.00,3821.00,147,0\r\n2006-02-23,14:21:00,3821.00,3821.00,3820.00,3820.00,173,0\r\n2006-02-23,14:22:00,3820.00,3820.00,3820.00,3820.00,7,0\r\n2006-02-23,14:23:00,3820.00,3821.00,3820.00,3820.00,156,0\r\n2006-02-23,14:24:00,3820.00,3820.00,3819.00,3820.00,89,0\r\n2006-02-23,14:25:00,3820.00,3820.00,3819.00,3820.00,21,0\r\n2006-02-23,14:26:00,3819.00,3820.00,3819.00,3820.00,46,0\r\n2006-02-23,14:27:00,3820.00,3820.00,3819.00,3819.00,42,0\r\n2006-02-23,14:28:00,3819.00,3820.00,3819.00,3820.00,5,0\r\n2006-02-23,14:29:00,3820.00,3820.00,3820.00,3820.00,188,0\r\n2006-02-23,14:30:00,3819.00,3820.00,3819.00,3820.00,28,0\r\n2006-02-23,14:31:00,3820.00,3821.00,3819.00,3819.00,1480,0\r\n2006-02-23,14:32:00,3819.00,3820.00,3819.00,3820.00,575,0\r\n2006-02-23,14:33:00,3819.00,3820.00,3819.00,3820.00,203,0\r\n2006-02-23,14:34:00,3819.00,3819.00,3819.00,3819.00,38,0\r\n2006-02-23,14:35:00,3819.00,3819.00,3818.00,3818.00,587,0\r\n2006-02-23,14:36:00,3818.00,3819.00,3818.00,3818.00,52,0\r\n2006-02-23,14:37:00,3819.00,3819.00,3818.00,3818.00,186,0\r\n2006-02-23,14:38:00,3818.00,3820.00,3818.00,3819.00,543,0\r\n2006-02-23,14:39:00,3820.00,3820.00,3819.00,3819.00,218,0\r\n2006-02-23,14:40:00,3818.00,3818.00,3815.00,3815.00,2298,0\r\n2006-02-23,14:41:00,3816.00,3816.00,3814.00,3815.00,1034,0\r\n2006-02-23,14:42:00,3815.00,3815.00,3814.00,3815.00,334,0\r\n2006-02-23,14:43:00,3815.00,3815.00,3812.00,3812.00,1702,0\r\n2006-02-23,14:44:00,3812.00,3813.00,3812.00,3813.00,1430,0\r\n2006-02-23,14:45:00,3814.00,3815.00,3814.00,3814.00,649,0\r\n2006-02-23,14:46:00,3814.00,3814.00,3813.00,3813.00,623,0\r\n2006-02-23,14:47:00,3813.00,3814.00,3812.00,3813.00,823,0\r\n2006-02-23,14:48:00,3812.00,3814.00,3812.00,3812.00,2689,0\r\n2006-02-23,14:49:00,3812.00,3814.00,3812.00,3812.00,602,0\r\n2006-02-23,14:50:00,3813.00,3815.00,3812.00,3815.00,1200,0\r\n2006-02-23,14:51:00,3814.00,3815.00,3812.00,3815.00,2343,0\r\n2006-02-23,14:52:00,3814.00,3815.00,3814.00,3814.00,867,0\r\n2006-02-23,14:53:00,3814.00,3815.00,3814.00,3815.00,799,0\r\n2006-02-23,14:54:00,3815.00,3815.00,3814.00,3815.00,733,0\r\n2006-02-23,14:55:00,3815.00,3815.00,3814.00,3815.00,338,0\r\n2006-02-23,14:56:00,3815.00,3816.00,3814.00,3815.00,314,0\r\n2006-02-23,14:57:00,3815.00,3815.00,3814.00,3814.00,170,0\r\n2006-02-23,14:58:00,3814.00,3815.00,3814.00,3814.00,150,0\r\n2006-02-23,14:59:00,3814.00,3814.00,3813.00,3813.00,255,0\r\n2006-02-23,15:00:00,3813.00,3814.00,3813.00,3813.00,119,0\r\n2006-02-23,15:01:00,3814.00,3814.00,3812.00,3813.00,984,0\r\n2006-02-23,15:02:00,3813.00,3814.00,3813.00,3814.00,444,0\r\n2006-02-23,15:03:00,3815.00,3815.00,3814.00,3815.00,586,0\r\n2006-02-23,15:04:00,3815.00,3816.00,3815.00,3815.00,57,0\r\n2006-02-23,15:05:00,3815.00,3816.00,3814.00,3815.00,495,0\r\n2006-02-23,15:06:00,3815.00,3815.00,3815.00,3815.00,1215,0\r\n2006-02-23,15:07:00,3815.00,3815.00,3814.00,3815.00,133,0\r\n2006-02-23,15:08:00,3816.00,3816.00,3815.00,3816.00,753,0\r\n2006-02-23,15:09:00,3816.00,3817.00,3816.00,3816.00,1218,0\r\n2006-02-23,15:10:00,3817.00,3818.00,3817.00,3818.00,403,0\r\n2006-02-23,15:11:00,3817.00,3819.00,3817.00,3818.00,1117,0\r\n2006-02-23,15:12:00,3817.00,3818.00,3816.00,3817.00,283,0\r\n2006-02-23,15:13:00,3818.00,3818.00,3818.00,3818.00,1048,0\r\n2006-02-23,15:14:00,3818.00,3819.00,3817.00,3817.00,599,0\r\n2006-02-23,15:15:00,3818.00,3818.00,3817.00,3818.00,40,0\r\n2006-02-23,15:16:00,3817.00,3817.00,3817.00,3817.00,54,0\r\n2006-02-23,15:17:00,3817.00,3818.00,3817.00,3817.00,109,0\r\n2006-02-23,15:18:00,3817.00,3818.00,3817.00,3818.00,504,0\r\n2006-02-23,15:19:00,3817.00,3817.00,3817.00,3817.00,64,0\r\n2006-02-23,15:20:00,3817.00,3817.00,3817.00,3817.00,59,0\r\n2006-02-23,15:21:00,3816.00,3818.00,3816.00,3818.00,310,0\r\n2006-02-23,15:22:00,3818.00,3819.00,3818.00,3819.00,357,0\r\n2006-02-23,15:23:00,3819.00,3819.00,3817.00,3819.00,558,0\r\n2006-02-23,15:24:00,3819.00,3819.00,3818.00,3818.00,202,0\r\n2006-02-23,15:25:00,3818.00,3818.00,3817.00,3818.00,248,0\r\n2006-02-23,15:26:00,3818.00,3818.00,3816.00,3816.00,313,0\r\n2006-02-23,15:27:00,3817.00,3817.00,3815.00,3816.00,713,0\r\n2006-02-23,15:28:00,3817.00,3817.00,3816.00,3816.00,10,0\r\n2006-02-23,15:29:00,3817.00,3817.00,3816.00,3816.00,46,0\r\n2006-02-23,15:30:00,3816.00,3817.00,3816.00,3816.00,23,0\r\n2006-02-23,15:31:00,3816.00,3817.00,3815.00,3815.00,614,0\r\n2006-02-23,15:32:00,3816.00,3816.00,3814.00,3815.00,569,0\r\n2006-02-23,15:33:00,3815.00,3815.00,3814.00,3815.00,722,0\r\n2006-02-23,15:34:00,3814.00,3816.00,3814.00,3815.00,563,0\r\n2006-02-23,15:35:00,3815.00,3815.00,3815.00,3815.00,679,0\r\n2006-02-23,15:36:00,3815.00,3815.00,3813.00,3814.00,1216,0\r\n2006-02-23,15:37:00,3813.00,3814.00,3811.00,3812.00,3414,0\r\n2006-02-23,15:38:00,3813.00,3814.00,3811.00,3812.00,1432,0\r\n2006-02-23,15:39:00,3812.00,3813.00,3811.00,3813.00,1236,0\r\n2006-02-23,15:40:00,3813.00,3815.00,3812.00,3815.00,1300,0\r\n2006-02-23,15:41:00,3814.00,3815.00,3813.00,3813.00,955,0\r\n2006-02-23,15:42:00,3812.00,3813.00,3811.00,3812.00,1359,0\r\n2006-02-23,15:43:00,3811.00,3811.00,3808.00,3810.00,7991,0\r\n2006-02-23,15:44:00,3810.00,3810.00,3808.00,3809.00,2772,0\r\n2006-02-23,15:45:00,3809.00,3809.00,3805.00,3805.00,6410,0\r\n2006-02-23,15:46:00,3805.00,3806.00,3802.00,3804.00,7365,0\r\n2006-02-23,15:47:00,3804.00,3806.00,3804.00,3806.00,2160,0\r\n2006-02-23,15:48:00,3806.00,3806.00,3804.00,3806.00,1591,0\r\n2006-02-23,15:49:00,3806.00,3806.00,3804.00,3805.00,2294,0\r\n2006-02-23,15:50:00,3805.00,3806.00,3804.00,3805.00,878,0\r\n2006-02-23,15:51:00,3806.00,3806.00,3805.00,3805.00,1358,0\r\n2006-02-23,15:52:00,3805.00,3807.00,3804.00,3807.00,2488,0\r\n2006-02-23,15:53:00,3807.00,3808.00,3806.00,3807.00,4281,0\r\n2006-02-23,15:54:00,3807.00,3807.00,3805.00,3805.00,1624,0\r\n2006-02-23,15:55:00,3805.00,3808.00,3805.00,3808.00,1903,0\r\n2006-02-23,15:56:00,3807.00,3808.00,3805.00,3805.00,1335,0\r\n2006-02-23,15:57:00,3806.00,3806.00,3806.00,3806.00,991,0\r\n2006-02-23,15:58:00,3806.00,3807.00,3805.00,3807.00,1367,0\r\n2006-02-23,15:59:00,3806.00,3808.00,3806.00,3807.00,1475,0\r\n2006-02-23,16:00:00,3806.00,3807.00,3806.00,3806.00,1397,0\r\n2006-02-23,16:01:00,3805.00,3806.00,3803.00,3803.00,3057,0\r\n2006-02-23,16:02:00,3804.00,3804.00,3801.00,3802.00,4719,0\r\n2006-02-23,16:03:00,3801.00,3805.00,3801.00,3804.00,2180,0\r\n2006-02-23,16:04:00,3803.00,3806.00,3803.00,3804.00,1968,0\r\n2006-02-23,16:05:00,3805.00,3806.00,3804.00,3805.00,1334,0\r\n2006-02-23,16:06:00,3806.00,3806.00,3805.00,3805.00,2447,0\r\n2006-02-23,16:07:00,3805.00,3808.00,3805.00,3806.00,1960,0\r\n2006-02-23,16:08:00,3807.00,3809.00,3806.00,3809.00,1864,0\r\n2006-02-23,16:09:00,3809.00,3811.00,3809.00,3809.00,2810,0\r\n2006-02-23,16:10:00,3809.00,3810.00,3808.00,3809.00,1476,0\r\n2006-02-23,16:11:00,3809.00,3812.00,3809.00,3811.00,3663,0\r\n2006-02-23,16:12:00,3811.00,3812.00,3809.00,3809.00,3222,0\r\n2006-02-23,16:13:00,3809.00,3811.00,3808.00,3810.00,1085,0\r\n2006-02-23,16:14:00,3811.00,3813.00,3811.00,3812.00,2887,0\r\n2006-02-23,16:15:00,3812.00,3814.00,3809.00,3810.00,3242,0\r\n2006-02-23,16:16:00,3811.00,3812.00,3811.00,3812.00,1014,0\r\n2006-02-23,16:17:00,3812.00,3812.00,3809.00,3811.00,3739,0\r\n2006-02-23,16:18:00,3811.00,3811.00,3809.00,3811.00,578,0\r\n2006-02-23,16:19:00,3811.00,3812.00,3808.00,3809.00,2115,0\r\n2006-02-23,16:20:00,3809.00,3813.00,3809.00,3812.00,2850,0\r\n2006-02-23,16:21:00,3811.00,3812.00,3811.00,3811.00,1316,0\r\n2006-02-23,16:22:00,3811.00,3812.00,3811.00,3811.00,591,0\r\n2006-02-23,16:23:00,3811.00,3811.00,3811.00,3811.00,344,0\r\n2006-02-23,16:24:00,3811.00,3812.00,3808.00,3810.00,1802,0\r\n2006-02-23,16:25:00,3810.00,3812.00,3809.00,3809.00,1276,0\r\n2006-02-23,16:26:00,3810.00,3812.00,3810.00,3811.00,1335,0\r\n2006-02-23,16:27:00,3811.00,3812.00,3810.00,3811.00,449,0\r\n2006-02-23,16:28:00,3811.00,3814.00,3811.00,3814.00,1916,0\r\n2006-02-23,16:29:00,3814.00,3815.00,3813.00,3814.00,2696,0\r\n2006-02-23,16:30:00,3814.00,3815.00,3814.00,3814.00,1314,0\r\n2006-02-23,16:31:00,3814.00,3815.00,3813.00,3814.00,1285,0\r\n2006-02-23,16:32:00,3814.00,3816.00,3813.00,3814.00,1697,0\r\n2006-02-23,16:33:00,3814.00,3817.00,3814.00,3816.00,2292,0\r\n2006-02-23,16:34:00,3816.00,3816.00,3814.00,3815.00,2779,0\r\n2006-02-23,16:35:00,3815.00,3816.00,3814.00,3815.00,1793,0\r\n2006-02-23,16:36:00,3814.00,3815.00,3812.00,3814.00,1891,0\r\n2006-02-23,16:37:00,3815.00,3816.00,3814.00,3816.00,2018,0\r\n2006-02-23,16:38:00,3816.00,3819.00,3816.00,3819.00,3468,0\r\n2006-02-23,16:39:00,3819.00,3822.00,3819.00,3820.00,3385,0\r\n2006-02-23,16:40:00,3820.00,3821.00,3819.00,3820.00,3254,0\r\n2006-02-23,16:41:00,3820.00,3820.00,3819.00,3819.00,2117,0\r\n2006-02-23,16:42:00,3819.00,3819.00,3817.00,3817.00,1762,0\r\n2006-02-23,16:43:00,3816.00,3817.00,3816.00,3817.00,2285,0\r\n2006-02-23,16:44:00,3817.00,3817.00,3817.00,3817.00,642,0\r\n2006-02-23,16:45:00,3818.00,3818.00,3816.00,3816.00,1616,0\r\n2006-02-23,16:46:00,3816.00,3818.00,3815.00,3818.00,1401,0\r\n2006-02-23,16:47:00,3818.00,3818.00,3817.00,3818.00,1824,0\r\n2006-02-23,16:48:00,3817.00,3820.00,3816.00,3820.00,1579,0\r\n2006-02-23,16:49:00,3820.00,3821.00,3818.00,3818.00,1484,0\r\n2006-02-23,16:50:00,3818.00,3819.00,3818.00,3819.00,974,0\r\n2006-02-23,16:51:00,3820.00,3820.00,3818.00,3820.00,1062,0\r\n2006-02-23,16:52:00,3819.00,3820.00,3818.00,3818.00,4137,0\r\n2006-02-23,16:53:00,3818.00,3818.00,3817.00,3818.00,2359,0\r\n2006-02-23,16:54:00,3818.00,3819.00,3818.00,3818.00,525,0\r\n2006-02-23,16:55:00,3818.00,3819.00,3818.00,3819.00,529,0\r\n2006-02-23,16:56:00,3819.00,3819.00,3817.00,3819.00,702,0\r\n2006-02-23,16:57:00,3818.00,3820.00,3818.00,3819.00,1357,0\r\n2006-02-23,16:58:00,3819.00,3819.00,3818.00,3818.00,376,0\r\n2006-02-23,16:59:00,3818.00,3818.00,3816.00,3817.00,2794,0\r\n2006-02-23,17:00:00,3816.00,3818.00,3815.00,3818.00,1266,0\r\n2006-02-23,17:01:00,3818.00,3818.00,3816.00,3816.00,1308,0\r\n2006-02-23,17:02:00,3817.00,3817.00,3816.00,3816.00,1427,0\r\n2006-02-23,17:03:00,3816.00,3818.00,3816.00,3817.00,1431,0\r\n2006-02-23,17:04:00,3816.00,3816.00,3815.00,3816.00,1886,0\r\n2006-02-23,17:05:00,3816.00,3816.00,3813.00,3814.00,1095,0\r\n2006-02-23,17:06:00,3815.00,3815.00,3814.00,3815.00,1317,0\r\n2006-02-23,17:07:00,3815.00,3815.00,3815.00,3815.00,1592,0\r\n2006-02-23,17:08:00,3815.00,3818.00,3815.00,3816.00,1584,0\r\n2006-02-23,17:09:00,3816.00,3817.00,3816.00,3816.00,1241,0\r\n2006-02-23,17:10:00,3816.00,3817.00,3816.00,3816.00,628,0\r\n2006-02-23,17:11:00,3816.00,3816.00,3815.00,3815.00,1282,0\r\n2006-02-23,17:12:00,3815.00,3816.00,3815.00,3815.00,1900,0\r\n2006-02-23,17:13:00,3815.00,3816.00,3815.00,3816.00,1161,0\r\n2006-02-23,17:14:00,3816.00,3819.00,3816.00,3818.00,1620,0\r\n2006-02-23,17:15:00,3818.00,3820.00,3818.00,3819.00,1324,0\r\n2006-02-23,17:16:00,3818.00,3819.00,3817.00,3818.00,1275,0\r\n2006-02-23,17:17:00,3817.00,3817.00,3816.00,3816.00,1366,0\r\n2006-02-23,17:18:00,3816.00,3818.00,3816.00,3817.00,601,0\r\n2006-02-23,17:19:00,3817.00,3818.00,3817.00,3818.00,696,0\r\n2006-02-23,17:20:00,3818.00,3819.00,3817.00,3818.00,1067,0\r\n2006-02-23,17:21:00,3818.00,3819.00,3817.00,3818.00,1115,0\r\n2006-02-23,17:22:00,3818.00,3819.00,3817.00,3819.00,1051,0\r\n2006-02-23,17:23:00,3818.00,3819.00,3818.00,3818.00,1346,0\r\n2006-02-23,17:24:00,3817.00,3818.00,3815.00,3816.00,1964,0\r\n2006-02-23,17:25:00,3817.00,3819.00,3816.00,3819.00,1562,0\r\n2006-02-23,17:26:00,3818.00,3821.00,3818.00,3820.00,3691,0\r\n2006-02-23,17:27:00,3821.00,3822.00,3820.00,3820.00,2895,0\r\n2006-02-23,17:28:00,3820.00,3821.00,3819.00,3820.00,1741,0\r\n2006-02-23,17:29:00,3820.00,3821.00,3819.00,3820.00,2987,0\r\n2006-02-23,17:30:00,3820.00,3822.00,3820.00,3822.00,6100,0\r\n2006-02-23,17:31:00,3822.00,3824.00,3820.00,3822.00,5737,0\r\n2006-02-23,17:32:00,3821.00,3822.00,3821.00,3821.00,2024,0\r\n2006-02-23,17:33:00,3820.00,3821.00,3820.00,3821.00,1131,0\r\n2006-02-23,17:34:00,3821.00,3821.00,3820.00,3821.00,1209,0\r\n2006-02-23,17:35:00,3821.00,3821.00,3820.00,3821.00,1045,0\r\n2006-02-23,17:36:00,3820.00,3820.00,3818.00,3818.00,1855,0\r\n2006-02-23,17:37:00,3818.00,3819.00,3818.00,3818.00,524,0\r\n2006-02-23,17:38:00,3817.00,3818.00,3816.00,3818.00,1700,0\r\n2006-02-23,17:39:00,3818.00,3818.00,3817.00,3817.00,39,0\r\n2006-02-23,17:40:00,3817.00,3818.00,3816.00,3818.00,657,0\r\n2006-02-23,17:41:00,3817.00,3818.00,3817.00,3817.00,851,0\r\n2006-02-23,17:42:00,3817.00,3818.00,3817.00,3817.00,415,0\r\n2006-02-23,17:43:00,3817.00,3818.00,3817.00,3818.00,168,0\r\n2006-02-23,17:44:00,3818.00,3819.00,3818.00,3819.00,1796,0\r\n2006-02-23,17:45:00,3818.00,3819.00,3817.00,3818.00,1436,0\r\n2006-02-23,17:46:00,3818.00,3819.00,3817.00,3818.00,525,0\r\n2006-02-23,17:47:00,3817.00,3818.00,3817.00,3818.00,78,0\r\n2006-02-23,17:48:00,3817.00,3817.00,3816.00,3817.00,1341,0\r\n2006-02-23,17:49:00,3817.00,3818.00,3817.00,3818.00,1309,0\r\n2006-02-23,17:50:00,3817.00,3817.00,3817.00,3817.00,215,0\r\n2006-02-23,17:51:00,3818.00,3818.00,3816.00,3817.00,522,0\r\n2006-02-23,17:52:00,3816.00,3817.00,3816.00,3817.00,108,0\r\n2006-02-23,17:53:00,3818.00,3818.00,3817.00,3817.00,603,0\r\n2006-02-23,17:54:00,3818.00,3818.00,3818.00,3818.00,223,0\r\n2006-02-23,17:55:00,3817.00,3817.00,3816.00,3817.00,678,0\r\n2006-02-23,17:56:00,3817.00,3819.00,3817.00,3819.00,231,0\r\n2006-02-23,17:57:00,3818.00,3819.00,3817.00,3817.00,844,0\r\n2006-02-23,17:58:00,3817.00,3818.00,3817.00,3818.00,155,0\r\n2006-02-23,17:59:00,3817.00,3817.00,3817.00,3817.00,143,0\r\n2006-02-23,18:00:00,3817.00,3817.00,3816.00,3816.00,33,0\r\n2006-02-23,18:01:00,3817.00,3817.00,3815.00,3815.00,609,0\r\n2006-02-23,18:02:00,3816.00,3817.00,3815.00,3817.00,555,0\r\n2006-02-23,18:03:00,3818.00,3818.00,3817.00,3817.00,217,0\r\n2006-02-23,18:04:00,3817.00,3817.00,3816.00,3816.00,175,0\r\n2006-02-23,18:05:00,3816.00,3816.00,3816.00,3816.00,20,0\r\n2006-02-23,18:06:00,3816.00,3816.00,3816.00,3816.00,151,0\r\n2006-02-23,18:07:00,3816.00,3817.00,3816.00,3817.00,229,0\r\n2006-02-23,18:08:00,3817.00,3817.00,3817.00,3817.00,10,0\r\n2006-02-23,18:09:00,3817.00,3817.00,3817.00,3817.00,383,0\r\n2006-02-23,18:10:00,3818.00,3820.00,3818.00,3820.00,1344,0\r\n2006-02-23,18:11:00,3820.00,3820.00,3819.00,3819.00,30,0\r\n2006-02-23,18:12:00,3820.00,3820.00,3820.00,3820.00,92,0\r\n2006-02-23,18:13:00,3820.00,3821.00,3819.00,3819.00,599,0\r\n2006-02-23,18:14:00,3819.00,3819.00,3818.00,3818.00,167,0\r\n2006-02-23,18:16:00,3818.00,3818.00,3817.00,3818.00,875,0\r\n2006-02-23,18:17:00,3817.00,3817.00,3817.00,3817.00,47,0\r\n2006-02-23,18:18:00,3817.00,3818.00,3817.00,3818.00,227,0\r\n2006-02-23,18:19:00,3818.00,3818.00,3818.00,3818.00,66,0\r\n2006-02-23,18:20:00,3817.00,3817.00,3817.00,3817.00,4,0\r\n2006-02-23,18:21:00,3818.00,3818.00,3818.00,3818.00,39,0\r\n2006-02-23,18:22:00,3818.00,3818.00,3818.00,3818.00,10224,0\r\n2006-02-23,18:23:00,3818.00,3818.00,3817.00,3817.00,345,0\r\n2006-02-23,18:24:00,3817.00,3817.00,3817.00,3817.00,505,0\r\n2006-02-23,18:25:00,3817.00,3818.00,3817.00,3818.00,71,0\r\n2006-02-23,18:26:00,3818.00,3819.00,3818.00,3819.00,316,0\r\n2006-02-23,18:27:00,3818.00,3818.00,3817.00,3818.00,236,0\r\n2006-02-23,18:28:00,3817.00,3820.00,3817.00,3820.00,165,0\r\n2006-02-23,18:29:00,3819.00,3820.00,3819.00,3820.00,220,0\r\n2006-02-23,18:30:00,3819.00,3820.00,3819.00,3819.00,62,0\r\n2006-02-23,18:31:00,3819.00,3819.00,3818.00,3818.00,124,0\r\n2006-02-23,18:32:00,3818.00,3820.00,3818.00,3820.00,209,0\r\n2006-02-23,18:33:00,3820.00,3822.00,3820.00,3822.00,1070,0\r\n2006-02-23,18:34:00,3822.00,3823.00,3821.00,3821.00,596,0\r\n2006-02-23,18:35:00,3821.00,3822.00,3821.00,3822.00,810,0\r\n2006-02-23,18:36:00,3822.00,3822.00,3821.00,3821.00,330,0\r\n2006-02-23,18:37:00,3822.00,3822.00,3821.00,3821.00,204,0\r\n2006-02-23,18:38:00,3822.00,3823.00,3822.00,3823.00,551,0\r\n2006-02-23,18:39:00,3822.00,3823.00,3822.00,3823.00,79,0\r\n2006-02-23,18:40:00,3823.00,3825.00,3823.00,3825.00,1119,0\r\n2006-02-23,18:41:00,3824.00,3825.00,3824.00,3825.00,434,0\r\n2006-02-23,18:42:00,3825.00,3827.00,3825.00,3826.00,1192,0\r\n2006-02-23,18:43:00,3827.00,3829.00,3827.00,3828.00,2236,0\r\n2006-02-23,18:44:00,3828.00,3828.00,3825.00,3826.00,778,0\r\n2006-02-23,18:45:00,3826.00,3827.00,3826.00,3826.00,177,0\r\n2006-02-23,18:46:00,3826.00,3826.00,3826.00,3826.00,104,0\r\n2006-02-23,18:47:00,3826.00,3827.00,3825.00,3826.00,247,0\r\n2006-02-23,18:48:00,3826.00,3826.00,3825.00,3826.00,163,0\r\n2006-02-23,18:49:00,3825.00,3826.00,3825.00,3826.00,180,0\r\n2006-02-23,18:50:00,3827.00,3827.00,3827.00,3827.00,199,0\r\n2006-02-23,18:51:00,3827.00,3829.00,3827.00,3828.00,592,0\r\n2006-02-23,18:52:00,3827.00,3827.00,3827.00,3827.00,160,0\r\n2006-02-23,18:53:00,3827.00,3827.00,3827.00,3827.00,492,0\r\n2006-02-23,18:54:00,3827.00,3827.00,3827.00,3827.00,5,0\r\n2006-02-23,18:55:00,3827.00,3827.00,3827.00,3827.00,257,0\r\n2006-02-23,18:56:00,3827.00,3828.00,3827.00,3827.00,422,0\r\n2006-02-23,18:57:00,3827.00,3829.00,3827.00,3828.00,347,0\r\n2006-02-23,18:58:00,3829.00,3829.00,3826.00,3827.00,343,0\r\n2006-02-23,18:59:00,3827.00,3827.00,3827.00,3827.00,81,0\r\n2006-02-23,19:00:00,3826.00,3827.00,3826.00,3827.00,267,0\r\n2006-02-23,19:01:00,3827.00,3828.00,3827.00,3827.00,44,0\r\n2006-02-23,19:02:00,3828.00,3828.00,3828.00,3828.00,111,0\r\n2006-02-23,19:03:00,3827.00,3829.00,3826.00,3826.00,416,0\r\n2006-02-23,19:04:00,3826.00,3826.00,3826.00,3826.00,14,0\r\n2006-02-23,19:05:00,3827.00,3828.00,3826.00,3826.00,539,0\r\n2006-02-23,19:06:00,3827.00,3827.00,3826.00,3827.00,83,0\r\n2006-02-23,19:07:00,3827.00,3827.00,3826.00,3826.00,132,0\r\n2006-02-23,19:08:00,3825.00,3826.00,3825.00,3826.00,243,0\r\n2006-02-23,19:09:00,3826.00,3827.00,3826.00,3827.00,78,0\r\n2006-02-23,19:11:00,3827.00,3827.00,3826.00,3826.00,232,0\r\n2006-02-23,19:12:00,3827.00,3828.00,3827.00,3827.00,180,0\r\n2006-02-23,19:13:00,3827.00,3827.00,3826.00,3827.00,215,0\r\n2006-02-23,19:14:00,3826.00,3826.00,3825.00,3825.00,77,0\r\n2006-02-23,19:15:00,3825.00,3826.00,3825.00,3825.00,187,0\r\n2006-02-23,19:16:00,3825.00,3825.00,3824.00,3825.00,145,0\r\n2006-02-23,19:17:00,3825.00,3826.00,3825.00,3826.00,125,0\r\n2006-02-23,19:18:00,3825.00,3825.00,3825.00,3825.00,6,0\r\n2006-02-23,19:19:00,3826.00,3828.00,3826.00,3828.00,511,0\r\n2006-02-23,19:20:00,3828.00,3829.00,3827.00,3827.00,501,0\r\n2006-02-23,19:21:00,3827.00,3827.00,3827.00,3827.00,14,0\r\n2006-02-23,19:22:00,3827.00,3827.00,3827.00,3827.00,99,0\r\n2006-02-23,19:23:00,3827.00,3827.00,3826.00,3827.00,262,0\r\n2006-02-23,19:24:00,3827.00,3828.00,3827.00,3827.00,562,0\r\n2006-02-23,19:25:00,3827.00,3827.00,3826.00,3827.00,506,0\r\n2006-02-23,19:26:00,3827.00,3827.00,3827.00,3827.00,7,0\r\n2006-02-23,19:27:00,3827.00,3827.00,3827.00,3827.00,52,0\r\n2006-02-23,19:28:00,3827.00,3827.00,3827.00,3827.00,14,0\r\n2006-02-23,19:29:00,3827.00,3827.00,3827.00,3827.00,62,0\r\n2006-02-23,19:30:00,3827.00,3828.00,3827.00,3828.00,298,0\r\n2006-02-23,19:31:00,3828.00,3828.00,3828.00,3828.00,50,0\r\n2006-02-23,19:32:00,3828.00,3828.00,3828.00,3828.00,137,0\r\n2006-02-23,19:33:00,3828.00,3829.00,3828.00,3828.00,347,0\r\n2006-02-23,19:34:00,3827.00,3828.00,3827.00,3828.00,121,0\r\n2006-02-23,19:35:00,3828.00,3828.00,3828.00,3828.00,20,0\r\n2006-02-23,19:36:00,3827.00,3827.00,3826.00,3827.00,152,0\r\n2006-02-23,19:37:00,3826.00,3826.00,3825.00,3825.00,281,0\r\n2006-02-23,19:38:00,3825.00,3825.00,3825.00,3825.00,216,0\r\n2006-02-23,19:39:00,3825.00,3825.00,3824.00,3824.00,262,0\r\n2006-02-23,19:40:00,3824.00,3824.00,3822.00,3824.00,446,0\r\n2006-02-23,19:41:00,3823.00,3824.00,3823.00,3823.00,32,0\r\n2006-02-23,19:43:00,3823.00,3824.00,3823.00,3823.00,123,0\r\n2006-02-23,19:46:00,3823.00,3824.00,3823.00,3823.00,4,0\r\n2006-02-23,19:47:00,3823.00,3823.00,3823.00,3823.00,6,0\r\n2006-02-23,19:48:00,3824.00,3824.00,3824.00,3824.00,321,0\r\n2006-02-23,19:49:00,3824.00,3824.00,3824.00,3824.00,1,0\r\n2006-02-23,19:50:00,3825.00,3825.00,3824.00,3824.00,8,0\r\n2006-02-23,19:51:00,3824.00,3824.00,3824.00,3824.00,5,0\r\n2006-02-23,19:52:00,3824.00,3824.00,3824.00,3824.00,14,0\r\n2006-02-23,19:54:00,3824.00,3824.00,3824.00,3824.00,89,0\r\n2006-02-23,19:55:00,3824.00,3825.00,3824.00,3825.00,256,0\r\n2006-02-23,19:56:00,3825.00,3826.00,3825.00,3826.00,27,0\r\n2006-02-23,19:57:00,3825.00,3826.00,3825.00,3826.00,51,0\r\n2006-02-23,19:58:00,3826.00,3826.00,3826.00,3826.00,7,0\r\n2006-02-23,19:59:00,3826.00,3826.00,3826.00,3826.00,223,0\r\n2006-02-23,20:00:00,3826.00,3827.00,3826.00,3827.00,200,0\r\n2006-02-23,20:01:00,3826.00,3827.00,3826.00,3827.00,321,0\r\n2006-02-23,20:02:00,3827.00,3827.00,3827.00,3827.00,14,0\r\n2006-02-23,20:03:00,3826.00,3826.00,3826.00,3826.00,36,0\r\n2006-02-23,20:04:00,3827.00,3827.00,3826.00,3826.00,34,0\r\n2006-02-23,20:05:00,3826.00,3826.00,3826.00,3826.00,20,0\r\n2006-02-23,20:06:00,3826.00,3826.00,3826.00,3826.00,15,0\r\n2006-02-23,20:08:00,3826.00,3826.00,3826.00,3826.00,7,0\r\n2006-02-23,20:09:00,3825.00,3826.00,3825.00,3825.00,97,0\r\n2006-02-23,20:10:00,3825.00,3825.00,3824.00,3824.00,399,0\r\n2006-02-23,20:11:00,3824.00,3824.00,3823.00,3823.00,99,0\r\n2006-02-23,20:12:00,3824.00,3824.00,3824.00,3824.00,38,0\r\n2006-02-23,20:13:00,3824.00,3824.00,3824.00,3824.00,21,0\r\n2006-02-23,20:14:00,3824.00,3824.00,3824.00,3824.00,31,0\r\n2006-02-23,20:15:00,3824.00,3824.00,3823.00,3823.00,43,0\r\n2006-02-23,20:16:00,3822.00,3822.00,3821.00,3821.00,277,0\r\n2006-02-23,20:17:00,3821.00,3821.00,3820.00,3821.00,281,0\r\n2006-02-23,20:18:00,3820.00,3820.00,3820.00,3820.00,98,0\r\n2006-02-23,20:19:00,3819.00,3820.00,3819.00,3820.00,458,0\r\n2006-02-23,20:20:00,3820.00,3820.00,3820.00,3820.00,268,0\r\n2006-02-23,20:21:00,3820.00,3820.00,3820.00,3820.00,70,0\r\n2006-02-23,20:22:00,3820.00,3821.00,3819.00,3820.00,65,0\r\n2006-02-23,20:23:00,3820.00,3820.00,3819.00,3820.00,103,0\r\n2006-02-23,20:24:00,3820.00,3821.00,3820.00,3821.00,45,0\r\n2006-02-23,20:25:00,3821.00,3821.00,3821.00,3821.00,4,0\r\n2006-02-23,20:26:00,3821.00,3821.00,3821.00,3821.00,1,0\r\n2006-02-23,20:27:00,3821.00,3823.00,3821.00,3823.00,297,0\r\n2006-02-23,20:31:00,3822.00,3822.00,3822.00,3822.00,3,0\r\n2006-02-23,20:33:00,3822.00,3822.00,3822.00,3822.00,7,0\r\n2006-02-23,20:34:00,3822.00,3822.00,3822.00,3822.00,23,0\r\n2006-02-23,20:35:00,3821.00,3821.00,3821.00,3821.00,101,0\r\n2006-02-23,20:37:00,3822.00,3823.00,3822.00,3823.00,133,0\r\n2006-02-23,20:38:00,3824.00,3824.00,3824.00,3824.00,101,0\r\n2006-02-23,20:39:00,3824.00,3824.00,3824.00,3824.00,47,0\r\n2006-02-23,20:40:00,3824.00,3824.00,3824.00,3824.00,1,0\r\n2006-02-23,20:41:00,3824.00,3824.00,3824.00,3824.00,50,0\r\n2006-02-23,20:42:00,3824.00,3824.00,3824.00,3824.00,27,0\r\n2006-02-23,20:43:00,3823.00,3824.00,3823.00,3824.00,71,0\r\n2006-02-23,20:44:00,3823.00,3824.00,3823.00,3824.00,101,0\r\n2006-02-23,20:46:00,3823.00,3823.00,3823.00,3823.00,100,0\r\n2006-02-23,20:47:00,3824.00,3824.00,3824.00,3824.00,56,0\r\n2006-02-23,20:48:00,3824.00,3825.00,3824.00,3825.00,95,0\r\n2006-02-23,20:49:00,3825.00,3825.00,3825.00,3825.00,101,0\r\n2006-02-23,20:50:00,3825.00,3825.00,3824.00,3824.00,99,0\r\n2006-02-23,20:51:00,3824.00,3824.00,3824.00,3824.00,88,0\r\n2006-02-23,20:52:00,3824.00,3824.00,3824.00,3824.00,2,0\r\n2006-02-23,20:53:00,3824.00,3824.00,3824.00,3824.00,2,0\r\n2006-02-23,20:54:00,3823.00,3823.00,3823.00,3823.00,90,0\r\n2006-02-23,20:55:00,3822.00,3823.00,3822.00,3822.00,79,0\r\n2006-02-23,20:56:00,3821.00,3821.00,3820.00,3821.00,316,0\r\n2006-02-23,20:57:00,3821.00,3821.00,3820.00,3820.00,88,0\r\n2006-02-23,20:58:00,3820.00,3821.00,3820.00,3821.00,193,0\r\n2006-02-23,20:59:00,3821.00,3821.00,3821.00,3821.00,67,0\r\n2006-02-23,21:00:00,3821.00,3821.00,3821.00,3821.00,34,0\r\n2006-02-23,21:01:00,3821.00,3821.00,3821.00,3821.00,1,0\r\n2006-02-23,21:02:00,3820.00,3820.00,3820.00,3820.00,217,0\r\n2006-02-23,21:03:00,3820.00,3820.00,3819.00,3819.00,164,0\r\n2006-02-23,21:05:00,3819.00,3820.00,3819.00,3820.00,40,0\r\n2006-02-23,21:06:00,3820.00,3820.00,3820.00,3820.00,100,0\r\n2006-02-23,21:07:00,3820.00,3821.00,3820.00,3820.00,12,0\r\n2006-02-23,21:08:00,3820.00,3820.00,3820.00,3820.00,15,0\r\n2006-02-23,21:09:00,3820.00,3820.00,3820.00,3820.00,116,0\r\n2006-02-23,21:10:00,3819.00,3819.00,3819.00,3819.00,38,0\r\n2006-02-23,21:11:00,3819.00,3819.00,3819.00,3819.00,19,0\r\n2006-02-23,21:12:00,3819.00,3819.00,3819.00,3819.00,36,0\r\n2006-02-23,21:13:00,3818.00,3818.00,3818.00,3818.00,503,0\r\n2006-02-23,21:14:00,3819.00,3819.00,3819.00,3819.00,51,0\r\n2006-02-23,21:15:00,3819.00,3820.00,3819.00,3819.00,10,0\r\n2006-02-23,21:17:00,3820.00,3820.00,3820.00,3820.00,2,0\r\n2006-02-23,21:18:00,3819.00,3820.00,3818.00,3818.00,125,0\r\n2006-02-23,21:19:00,3818.00,3818.00,3818.00,3818.00,136,0\r\n2006-02-23,21:20:00,3817.00,3818.00,3817.00,3818.00,3,0\r\n2006-02-23,21:21:00,3818.00,3818.00,3818.00,3818.00,55,0\r\n2006-02-23,21:22:00,3817.00,3817.00,3817.00,3817.00,448,0\r\n2006-02-23,21:23:00,3817.00,3818.00,3817.00,3818.00,39,0\r\n2006-02-23,21:24:00,3818.00,3818.00,3817.00,3817.00,43,0\r\n2006-02-23,21:25:00,3818.00,3819.00,3818.00,3819.00,144,0\r\n2006-02-23,21:26:00,3819.00,3819.00,3818.00,3818.00,164,0\r\n2006-02-23,21:28:00,3817.00,3818.00,3817.00,3818.00,100,0\r\n2006-02-23,21:29:00,3818.00,3818.00,3817.00,3818.00,59,0\r\n2006-02-23,21:30:00,3817.00,3817.00,3817.00,3817.00,41,0\r\n2006-02-23,21:32:00,3817.00,3817.00,3817.00,3817.00,72,0\r\n2006-02-23,21:33:00,3817.00,3817.00,3816.00,3816.00,74,0\r\n2006-02-23,21:34:00,3816.00,3817.00,3816.00,3817.00,39,0\r\n2006-02-23,21:35:00,3817.00,3817.00,3816.00,3816.00,310,0\r\n2006-02-23,21:36:00,3816.00,3816.00,3815.00,3815.00,415,0\r\n2006-02-23,21:37:00,3815.00,3815.00,3814.00,3815.00,8,0\r\n2006-02-23,21:38:00,3814.00,3814.00,3814.00,3814.00,119,0\r\n2006-02-23,21:39:00,3813.00,3815.00,3813.00,3815.00,32,0\r\n2006-02-23,21:41:00,3814.00,3814.00,3814.00,3814.00,33,0\r\n2006-02-23,21:42:00,3813.00,3813.00,3812.00,3812.00,212,0\r\n2006-02-23,21:43:00,3812.00,3812.00,3812.00,3812.00,143,0\r\n2006-02-23,21:44:00,3812.00,3812.00,3812.00,3812.00,61,0\r\n2006-02-23,21:45:00,3812.00,3812.00,3812.00,3812.00,31,0\r\n2006-02-23,21:46:00,3812.00,3812.00,3812.00,3812.00,132,0\r\n2006-02-23,21:47:00,3811.00,3812.00,3811.00,3812.00,120,0\r\n2006-02-23,21:48:00,3811.00,3811.00,3811.00,3811.00,71,0\r\n2006-02-23,21:49:00,3811.00,3811.00,3811.00,3811.00,74,0\r\n2006-02-23,21:50:00,3811.00,3811.00,3811.00,3811.00,547,0\r\n2006-02-23,21:52:00,3812.00,3813.00,3812.00,3812.00,104,0\r\n2006-02-23,21:54:00,3812.00,3812.00,3811.00,3811.00,148,0\r\n2006-02-23,21:55:00,3812.00,3812.00,3811.00,3811.00,8,0\r\n2006-02-23,21:56:00,3811.00,3812.00,3811.00,3811.00,100,0\r\n2006-02-23,21:57:00,3811.00,3812.00,3811.00,3812.00,79,0\r\n2006-02-23,21:58:00,3812.00,3813.00,3812.00,3813.00,239,0\r\n2006-02-23,21:59:00,3812.00,3812.00,3811.00,3812.00,417,0\r\n2006-02-23,22:00:00,3812.00,3816.00,3811.00,3816.00,282,0\r\n2006-02-24,09:01:00,3827.00,3827.00,3824.00,3825.00,4516,0\r\n2006-02-24,09:02:00,3824.00,3825.00,3823.00,3824.00,1347,0\r\n2006-02-24,09:03:00,3824.00,3824.00,3822.00,3822.00,1244,0\r\n2006-02-24,09:04:00,3821.00,3822.00,3821.00,3822.00,447,0\r\n2006-02-24,09:05:00,3822.00,3823.00,3822.00,3823.00,1034,0\r\n2006-02-24,09:06:00,3824.00,3825.00,3823.00,3825.00,334,0\r\n2006-02-24,09:07:00,3825.00,3826.00,3824.00,3826.00,901,0\r\n2006-02-24,09:08:00,3826.00,3826.00,3824.00,3825.00,786,0\r\n2006-02-24,09:09:00,3825.00,3825.00,3825.00,3825.00,205,0\r\n2006-02-24,09:10:00,3824.00,3826.00,3824.00,3826.00,689,0\r\n2006-02-24,09:11:00,3826.00,3827.00,3825.00,3826.00,641,0\r\n2006-02-24,09:12:00,3826.00,3826.00,3825.00,3826.00,302,0\r\n2006-02-24,09:13:00,3826.00,3830.00,3826.00,3830.00,2048,0\r\n2006-02-24,09:14:00,3830.00,3830.00,3828.00,3828.00,1163,0\r\n2006-02-24,09:15:00,3828.00,3829.00,3828.00,3829.00,630,0\r\n2006-02-24,09:16:00,3829.00,3830.00,3828.00,3829.00,1454,0\r\n2006-02-24,09:17:00,3829.00,3829.00,3827.00,3829.00,498,0\r\n2006-02-24,09:18:00,3829.00,3829.00,3827.00,3828.00,332,0\r\n2006-02-24,09:19:00,3828.00,3828.00,3826.00,3826.00,832,0\r\n2006-02-24,09:20:00,3826.00,3826.00,3825.00,3825.00,636,0\r\n2006-02-24,09:21:00,3824.00,3825.00,3824.00,3824.00,622,0\r\n2006-02-24,09:22:00,3824.00,3825.00,3823.00,3823.00,741,0\r\n2006-02-24,09:23:00,3824.00,3825.00,3824.00,3824.00,309,0\r\n2006-02-24,09:24:00,3824.00,3824.00,3824.00,3824.00,5,0\r\n2006-02-24,09:25:00,3824.00,3825.00,3824.00,3825.00,282,0\r\n2006-02-24,09:26:00,3825.00,3825.00,3824.00,3824.00,304,0\r\n2006-02-24,09:27:00,3824.00,3824.00,3824.00,3824.00,105,0\r\n2006-02-24,09:28:00,3824.00,3824.00,3823.00,3824.00,669,0\r\n2006-02-24,09:29:00,3824.00,3824.00,3823.00,3824.00,375,0\r\n2006-02-24,09:30:00,3824.00,3825.00,3823.00,3825.00,231,0\r\n2006-02-24,09:31:00,3824.00,3824.00,3823.00,3824.00,232,0\r\n2006-02-24,09:32:00,3824.00,3824.00,3823.00,3824.00,45,0\r\n2006-02-24,09:33:00,3823.00,3823.00,3822.00,3822.00,404,0\r\n2006-02-24,09:34:00,3822.00,3822.00,3821.00,3822.00,1005,0\r\n2006-02-24,09:35:00,3822.00,3823.00,3822.00,3823.00,387,0\r\n2006-02-24,09:36:00,3823.00,3824.00,3819.00,3819.00,2559,0\r\n2006-02-24,09:37:00,3819.00,3820.00,3816.00,3818.00,2097,0\r\n2006-02-24,09:38:00,3818.00,3819.00,3815.00,3815.00,2012,0\r\n2006-02-24,09:39:00,3816.00,3817.00,3814.00,3814.00,671,0\r\n2006-02-24,09:40:00,3814.00,3816.00,3814.00,3816.00,1028,0\r\n2006-02-24,09:41:00,3815.00,3817.00,3815.00,3817.00,600,0\r\n2006-02-24,09:42:00,3816.00,3818.00,3816.00,3817.00,717,0\r\n2006-02-24,09:43:00,3817.00,3820.00,3817.00,3819.00,1408,0\r\n2006-02-24,09:44:00,3819.00,3819.00,3817.00,3818.00,1431,0\r\n2006-02-24,09:45:00,3818.00,3818.00,3816.00,3816.00,415,0\r\n2006-02-24,09:46:00,3817.00,3818.00,3815.00,3815.00,1278,0\r\n2006-02-24,09:47:00,3816.00,3816.00,3815.00,3815.00,558,0\r\n2006-02-24,09:48:00,3814.00,3816.00,3813.00,3816.00,1349,0\r\n2006-02-24,09:49:00,3815.00,3816.00,3815.00,3816.00,1394,0\r\n2006-02-24,09:50:00,3816.00,3817.00,3815.00,3815.00,444,0\r\n2006-02-24,09:51:00,3815.00,3815.00,3814.00,3815.00,356,0\r\n2006-02-24,09:52:00,3815.00,3816.00,3815.00,3816.00,20,0\r\n2006-02-24,09:53:00,3816.00,3816.00,3815.00,3815.00,909,0\r\n2006-02-24,09:54:00,3815.00,3815.00,3812.00,3813.00,1134,0\r\n2006-02-24,09:55:00,3813.00,3813.00,3811.00,3812.00,2663,0\r\n2006-02-24,09:56:00,3812.00,3813.00,3812.00,3813.00,291,0\r\n2006-02-24,09:57:00,3813.00,3813.00,3811.00,3811.00,1411,0\r\n2006-02-24,09:58:00,3812.00,3814.00,3812.00,3813.00,1368,0\r\n2006-02-24,09:59:00,3813.00,3814.00,3813.00,3814.00,641,0\r\n2006-02-24,10:00:00,3814.00,3815.00,3813.00,3814.00,404,0\r\n2006-02-24,10:01:00,3815.00,3815.00,3814.00,3815.00,457,0\r\n2006-02-24,10:02:00,3814.00,3815.00,3814.00,3815.00,134,0\r\n2006-02-24,10:03:00,3815.00,3816.00,3814.00,3815.00,427,0\r\n2006-02-24,10:04:00,3815.00,3815.00,3814.00,3815.00,78,0\r\n2006-02-24,10:05:00,3816.00,3817.00,3815.00,3817.00,654,0\r\n2006-02-24,10:06:00,3816.00,3817.00,3816.00,3816.00,36,0\r\n2006-02-24,10:07:00,3816.00,3817.00,3816.00,3817.00,103,0\r\n2006-02-24,10:08:00,3817.00,3817.00,3816.00,3816.00,369,0\r\n2006-02-24,10:09:00,3817.00,3817.00,3816.00,3816.00,276,0\r\n2006-02-24,10:10:00,3816.00,3817.00,3816.00,3816.00,1364,0\r\n2006-02-24,10:12:00,3817.00,3820.00,3817.00,3820.00,998,0\r\n2006-02-24,10:13:00,3820.00,3820.00,3818.00,3819.00,1156,0\r\n2006-02-24,10:14:00,3818.00,3820.00,3818.00,3819.00,412,0\r\n2006-02-24,10:15:00,3819.00,3819.00,3819.00,3819.00,58,0\r\n2006-02-24,10:16:00,3820.00,3820.00,3819.00,3819.00,79,0\r\n2006-02-24,10:17:00,3819.00,3819.00,3817.00,3817.00,928,0\r\n2006-02-24,10:18:00,3818.00,3819.00,3817.00,3819.00,522,0\r\n2006-02-24,10:19:00,3819.00,3820.00,3819.00,3819.00,56,0\r\n2006-02-24,10:20:00,3820.00,3820.00,3820.00,3820.00,3,0\r\n2006-02-24,10:21:00,3819.00,3822.00,3819.00,3821.00,1286,0\r\n2006-02-24,10:22:00,3821.00,3821.00,3819.00,3820.00,701,0\r\n2006-02-24,10:23:00,3820.00,3821.00,3819.00,3819.00,381,0\r\n2006-02-24,10:24:00,3820.00,3820.00,3820.00,3820.00,227,0\r\n2006-02-24,10:25:00,3820.00,3820.00,3819.00,3820.00,20,0\r\n2006-02-24,10:26:00,3820.00,3822.00,3820.00,3822.00,868,0\r\n2006-02-24,10:27:00,3822.00,3823.00,3821.00,3822.00,1090,0\r\n2006-02-24,10:28:00,3822.00,3823.00,3821.00,3823.00,397,0\r\n2006-02-24,10:29:00,3823.00,3824.00,3823.00,3824.00,1218,0\r\n2006-02-24,10:30:00,3823.00,3823.00,3822.00,3822.00,665,0\r\n2006-02-24,10:31:00,3823.00,3823.00,3822.00,3822.00,541,0\r\n2006-02-24,10:32:00,3822.00,3822.00,3821.00,3821.00,8,0\r\n2006-02-24,10:33:00,3821.00,3822.00,3821.00,3822.00,148,0\r\n2006-02-24,10:34:00,3821.00,3823.00,3821.00,3822.00,688,0\r\n2006-02-24,10:35:00,3822.00,3822.00,3821.00,3821.00,900,0\r\n2006-02-24,10:36:00,3821.00,3821.00,3818.00,3819.00,1787,0\r\n2006-02-24,10:37:00,3819.00,3819.00,3818.00,3818.00,1535,0\r\n2006-02-24,10:38:00,3817.00,3818.00,3817.00,3818.00,186,0\r\n2006-02-24,10:39:00,3818.00,3818.00,3818.00,3818.00,210,0\r\n2006-02-24,10:40:00,3818.00,3818.00,3818.00,3818.00,119,0\r\n2006-02-24,10:41:00,3819.00,3819.00,3818.00,3818.00,338,0\r\n2006-02-24,10:42:00,3818.00,3820.00,3817.00,3819.00,607,0\r\n2006-02-24,10:43:00,3819.00,3820.00,3819.00,3820.00,144,0\r\n2006-02-24,10:44:00,3820.00,3820.00,3819.00,3820.00,352,0\r\n2006-02-24,10:45:00,3820.00,3821.00,3820.00,3821.00,382,0\r\n2006-02-24,10:46:00,3821.00,3821.00,3820.00,3821.00,85,0\r\n2006-02-24,10:47:00,3820.00,3821.00,3820.00,3821.00,1006,0\r\n2006-02-24,10:48:00,3821.00,3821.00,3820.00,3821.00,61,0\r\n2006-02-24,10:49:00,3821.00,3822.00,3821.00,3822.00,307,0\r\n2006-02-24,10:50:00,3822.00,3823.00,3822.00,3823.00,350,0\r\n2006-02-24,10:51:00,3823.00,3823.00,3822.00,3822.00,394,0\r\n2006-02-24,10:52:00,3822.00,3823.00,3822.00,3823.00,105,0\r\n2006-02-24,10:53:00,3823.00,3823.00,3822.00,3823.00,70,0\r\n2006-02-24,10:54:00,3823.00,3824.00,3822.00,3822.00,842,0\r\n2006-02-24,10:55:00,3822.00,3822.00,3821.00,3822.00,622,0\r\n2006-02-24,10:56:00,3822.00,3822.00,3821.00,3822.00,75,0\r\n2006-02-24,10:57:00,3821.00,3821.00,3821.00,3821.00,30,0\r\n2006-02-24,10:58:00,3821.00,3821.00,3820.00,3820.00,177,0\r\n2006-02-24,10:59:00,3820.00,3821.00,3818.00,3818.00,1525,0\r\n2006-02-24,11:00:00,3819.00,3820.00,3817.00,3819.00,1313,0\r\n2006-02-24,11:01:00,3818.00,3820.00,3818.00,3819.00,481,0\r\n2006-02-24,11:02:00,3819.00,3819.00,3818.00,3818.00,152,0\r\n2006-02-24,11:03:00,3819.00,3819.00,3819.00,3819.00,1,0\r\n2006-02-24,11:04:00,3819.00,3819.00,3818.00,3819.00,167,0\r\n2006-02-24,11:05:00,3819.00,3819.00,3819.00,3819.00,502,0\r\n2006-02-24,11:06:00,3820.00,3820.00,3819.00,3820.00,162,0\r\n2006-02-24,11:07:00,3820.00,3821.00,3819.00,3820.00,231,0\r\n2006-02-24,11:08:00,3819.00,3820.00,3819.00,3820.00,172,0\r\n2006-02-24,11:09:00,3820.00,3820.00,3820.00,3820.00,140,0\r\n2006-02-24,11:10:00,3820.00,3821.00,3820.00,3820.00,29,0\r\n2006-02-24,11:11:00,3820.00,3821.00,3820.00,3820.00,141,0\r\n2006-02-24,11:12:00,3820.00,3821.00,3820.00,3821.00,296,0\r\n2006-02-24,11:13:00,3820.00,3820.00,3820.00,3820.00,39,0\r\n2006-02-24,11:14:00,3819.00,3819.00,3817.00,3819.00,1231,0\r\n2006-02-24,11:15:00,3818.00,3819.00,3818.00,3818.00,67,0\r\n2006-02-24,11:16:00,3819.00,3819.00,3818.00,3818.00,572,0\r\n2006-02-24,11:17:00,3819.00,3819.00,3819.00,3819.00,108,0\r\n2006-02-24,11:18:00,3819.00,3820.00,3819.00,3820.00,96,0\r\n2006-02-24,11:19:00,3819.00,3819.00,3819.00,3819.00,132,0\r\n2006-02-24,11:20:00,3819.00,3819.00,3818.00,3818.00,2028,0\r\n2006-02-24,11:21:00,3819.00,3819.00,3818.00,3819.00,74,0\r\n2006-02-24,11:22:00,3819.00,3819.00,3819.00,3819.00,184,0\r\n2006-02-24,11:23:00,3819.00,3819.00,3819.00,3819.00,36,0\r\n2006-02-24,11:24:00,3819.00,3819.00,3819.00,3819.00,378,0\r\n2006-02-24,11:25:00,3819.00,3820.00,3819.00,3819.00,605,0\r\n2006-02-24,11:26:00,3820.00,3820.00,3819.00,3819.00,422,0\r\n2006-02-24,11:27:00,3819.00,3820.00,3819.00,3820.00,414,0\r\n2006-02-24,11:29:00,3819.00,3820.00,3819.00,3820.00,460,0\r\n2006-02-24,11:30:00,3820.00,3821.00,3819.00,3820.00,198,0\r\n2006-02-24,11:31:00,3821.00,3821.00,3819.00,3820.00,226,0\r\n2006-02-24,11:32:00,3820.00,3820.00,3820.00,3820.00,44,0\r\n2006-02-24,11:33:00,3820.00,3821.00,3820.00,3821.00,603,0\r\n2006-02-24,11:34:00,3820.00,3821.00,3820.00,3821.00,9,0\r\n2006-02-24,11:35:00,3820.00,3821.00,3820.00,3821.00,127,0\r\n2006-02-24,11:36:00,3821.00,3821.00,3820.00,3820.00,50,0\r\n2006-02-24,11:37:00,3820.00,3821.00,3819.00,3820.00,151,0\r\n2006-02-24,11:38:00,3820.00,3821.00,3820.00,3820.00,289,0\r\n2006-02-24,11:39:00,3820.00,3820.00,3819.00,3819.00,105,0\r\n2006-02-24,11:40:00,3820.00,3820.00,3820.00,3820.00,10,0\r\n2006-02-24,11:41:00,3820.00,3820.00,3819.00,3819.00,28,0\r\n2006-02-24,11:42:00,3819.00,3820.00,3819.00,3820.00,26,0\r\n2006-02-24,11:43:00,3820.00,3821.00,3820.00,3821.00,163,0\r\n2006-02-24,11:44:00,3821.00,3822.00,3821.00,3821.00,530,0\r\n2006-02-24,11:45:00,3822.00,3824.00,3822.00,3823.00,586,0\r\n2006-02-24,11:46:00,3824.00,3825.00,3824.00,3824.00,1210,0\r\n2006-02-24,11:47:00,3824.00,3824.00,3823.00,3824.00,394,0\r\n2006-02-24,11:48:00,3824.00,3824.00,3823.00,3824.00,179,0\r\n2006-02-24,11:49:00,3824.00,3826.00,3824.00,3825.00,1133,0\r\n2006-02-24,11:50:00,3825.00,3826.00,3825.00,3825.00,3696,0\r\n2006-02-24,11:51:00,3825.00,3825.00,3824.00,3824.00,168,0\r\n2006-02-24,11:52:00,3824.00,3824.00,3823.00,3823.00,276,0\r\n2006-02-24,11:53:00,3824.00,3825.00,3824.00,3825.00,126,0\r\n2006-02-24,11:54:00,3825.00,3825.00,3824.00,3825.00,778,0\r\n2006-02-24,11:55:00,3825.00,3825.00,3823.00,3823.00,238,0\r\n2006-02-24,11:56:00,3823.00,3824.00,3823.00,3823.00,468,0\r\n2006-02-24,11:57:00,3823.00,3824.00,3823.00,3824.00,303,0\r\n2006-02-24,11:58:00,3824.00,3825.00,3824.00,3825.00,369,0\r\n2006-02-24,11:59:00,3825.00,3825.00,3824.00,3825.00,419,0\r\n2006-02-24,12:00:00,3826.00,3826.00,3825.00,3825.00,448,0\r\n2006-02-24,12:01:00,3825.00,3826.00,3824.00,3825.00,1070,0\r\n2006-02-24,12:02:00,3824.00,3825.00,3824.00,3825.00,216,0\r\n2006-02-24,12:03:00,3824.00,3824.00,3824.00,3824.00,58,0\r\n2006-02-24,12:04:00,3824.00,3824.00,3824.00,3824.00,408,0\r\n2006-02-24,12:05:00,3824.00,3825.00,3823.00,3824.00,456,0\r\n2006-02-24,12:06:00,3825.00,3825.00,3823.00,3824.00,786,0\r\n2006-02-24,12:07:00,3824.00,3824.00,3824.00,3824.00,5,0\r\n2006-02-24,12:08:00,3824.00,3824.00,3824.00,3824.00,194,0\r\n2006-02-24,12:09:00,3824.00,3824.00,3823.00,3823.00,691,0\r\n2006-02-24,12:10:00,3823.00,3823.00,3823.00,3823.00,76,0\r\n2006-02-24,12:11:00,3823.00,3823.00,3822.00,3822.00,130,0\r\n2006-02-24,12:12:00,3822.00,3823.00,3822.00,3823.00,80,0\r\n2006-02-24,12:13:00,3822.00,3822.00,3822.00,3822.00,2,0\r\n2006-02-24,12:14:00,3822.00,3824.00,3822.00,3823.00,338,0\r\n2006-02-24,12:15:00,3823.00,3824.00,3823.00,3824.00,82,0\r\n2006-02-24,12:16:00,3823.00,3823.00,3823.00,3823.00,102,0\r\n2006-02-24,12:17:00,3823.00,3823.00,3823.00,3823.00,29,0\r\n2006-02-24,12:18:00,3823.00,3823.00,3823.00,3823.00,7,0\r\n2006-02-24,12:19:00,3824.00,3824.00,3822.00,3822.00,194,0\r\n2006-02-24,12:21:00,3823.00,3824.00,3823.00,3824.00,115,0\r\n2006-02-24,12:22:00,3823.00,3823.00,3823.00,3823.00,236,0\r\n2006-02-24,12:23:00,3823.00,3823.00,3822.00,3823.00,90,0\r\n2006-02-24,12:24:00,3823.00,3823.00,3823.00,3823.00,9,0\r\n2006-02-24,12:25:00,3823.00,3824.00,3823.00,3823.00,8,0\r\n2006-02-24,12:26:00,3823.00,3823.00,3823.00,3823.00,532,0\r\n2006-02-24,12:27:00,3823.00,3824.00,3823.00,3823.00,95,0\r\n2006-02-24,12:28:00,3824.00,3824.00,3823.00,3824.00,72,0\r\n2006-02-24,12:29:00,3824.00,3824.00,3824.00,3824.00,759,0\r\n2006-02-24,12:30:00,3824.00,3824.00,3824.00,3824.00,341,0\r\n2006-02-24,12:31:00,3823.00,3823.00,3823.00,3823.00,30,0\r\n2006-02-24,12:32:00,3824.00,3824.00,3823.00,3824.00,243,0\r\n2006-02-24,12:33:00,3824.00,3824.00,3824.00,3824.00,232,0\r\n2006-02-24,12:34:00,3824.00,3824.00,3824.00,3824.00,622,0\r\n2006-02-24,12:35:00,3825.00,3825.00,3823.00,3823.00,408,0\r\n2006-02-24,12:36:00,3824.00,3824.00,3824.00,3824.00,448,0\r\n2006-02-24,12:37:00,3824.00,3825.00,3824.00,3824.00,1164,0\r\n2006-02-24,12:38:00,3825.00,3825.00,3824.00,3824.00,2164,0\r\n2006-02-24,12:39:00,3824.00,3824.00,3824.00,3824.00,42,0\r\n2006-02-24,12:40:00,3824.00,3825.00,3824.00,3825.00,55,0\r\n2006-02-24,12:41:00,3824.00,3824.00,3824.00,3824.00,50,0\r\n2006-02-24,12:42:00,3824.00,3824.00,3823.00,3824.00,154,0\r\n2006-02-24,12:43:00,3824.00,3824.00,3824.00,3824.00,80,0\r\n2006-02-24,12:44:00,3823.00,3824.00,3823.00,3824.00,2,0\r\n2006-02-24,12:45:00,3823.00,3824.00,3823.00,3824.00,116,0\r\n2006-02-24,12:46:00,3824.00,3825.00,3824.00,3824.00,241,0\r\n2006-02-24,12:47:00,3825.00,3825.00,3824.00,3825.00,767,0\r\n2006-02-24,12:48:00,3824.00,3825.00,3824.00,3825.00,24,0\r\n2006-02-24,12:49:00,3824.00,3825.00,3824.00,3825.00,149,0\r\n2006-02-24,12:50:00,3824.00,3825.00,3824.00,3824.00,604,0\r\n2006-02-24,12:51:00,3824.00,3824.00,3823.00,3823.00,62,0\r\n2006-02-24,12:52:00,3824.00,3824.00,3823.00,3824.00,19,0\r\n2006-02-24,12:53:00,3824.00,3824.00,3824.00,3824.00,186,0\r\n2006-02-24,12:54:00,3824.00,3824.00,3823.00,3824.00,276,0\r\n2006-02-24,12:55:00,3824.00,3824.00,3824.00,3824.00,17,0\r\n2006-02-24,12:56:00,3824.00,3825.00,3824.00,3824.00,145,0\r\n2006-02-24,12:57:00,3824.00,3825.00,3824.00,3824.00,55,0\r\n2006-02-24,12:58:00,3824.00,3824.00,3824.00,3824.00,43,0\r\n2006-02-24,12:59:00,3824.00,3824.00,3824.00,3824.00,90,0\r\n2006-02-24,13:00:00,3824.00,3824.00,3824.00,3824.00,1,0\r\n2006-02-24,13:01:00,3824.00,3825.00,3823.00,3824.00,225,0\r\n2006-02-24,13:02:00,3824.00,3825.00,3824.00,3824.00,59,0\r\n2006-02-24,13:03:00,3824.00,3824.00,3823.00,3823.00,46,0\r\n2006-02-24,13:04:00,3823.00,3823.00,3823.00,3823.00,24,0\r\n2006-02-24,13:05:00,3823.00,3823.00,3822.00,3822.00,989,0\r\n2006-02-24,13:06:00,3822.00,3823.00,3821.00,3822.00,1255,0\r\n2006-02-24,13:07:00,3822.00,3822.00,3822.00,3822.00,419,0\r\n2006-02-24,13:08:00,3821.00,3823.00,3821.00,3822.00,533,0\r\n2006-02-24,13:09:00,3822.00,3822.00,3821.00,3821.00,1368,0\r\n2006-02-24,13:10:00,3820.00,3821.00,3820.00,3820.00,1016,0\r\n2006-02-24,13:11:00,3821.00,3822.00,3821.00,3822.00,283,0\r\n2006-02-24,13:12:00,3822.00,3822.00,3822.00,3822.00,3,0\r\n2006-02-24,13:13:00,3822.00,3822.00,3821.00,3821.00,106,0\r\n2006-02-24,13:14:00,3822.00,3822.00,3822.00,3822.00,140,0\r\n2006-02-24,13:15:00,3822.00,3822.00,3822.00,3822.00,502,0\r\n2006-02-24,13:16:00,3822.00,3822.00,3822.00,3822.00,50,0\r\n2006-02-24,13:17:00,3822.00,3822.00,3822.00,3822.00,107,0\r\n2006-02-24,13:18:00,3822.00,3822.00,3822.00,3822.00,93,0\r\n2006-02-24,13:19:00,3822.00,3822.00,3822.00,3822.00,164,0\r\n2006-02-24,13:20:00,3823.00,3823.00,3823.00,3823.00,218,0\r\n2006-02-24,13:21:00,3823.00,3823.00,3822.00,3822.00,55,0\r\n2006-02-24,13:22:00,3822.00,3822.00,3822.00,3822.00,94,0\r\n2006-02-24,13:23:00,3822.00,3822.00,3822.00,3822.00,179,0\r\n2006-02-24,13:24:00,3822.00,3822.00,3822.00,3822.00,78,0\r\n2006-02-24,13:26:00,3822.00,3822.00,3821.00,3821.00,114,0\r\n2006-02-24,13:27:00,3822.00,3822.00,3821.00,3821.00,21,0\r\n2006-02-24,13:29:00,3821.00,3822.00,3821.00,3822.00,176,0\r\n2006-02-24,13:30:00,3823.00,3823.00,3822.00,3822.00,106,0\r\n2006-02-24,13:31:00,3823.00,3823.00,3822.00,3822.00,113,0\r\n2006-02-24,13:32:00,3822.00,3822.00,3822.00,3822.00,32,0\r\n2006-02-24,13:33:00,3823.00,3823.00,3822.00,3822.00,540,0\r\n2006-02-24,13:35:00,3822.00,3822.00,3822.00,3822.00,1,0\r\n2006-02-24,13:36:00,3822.00,3822.00,3822.00,3822.00,1,0\r\n2006-02-24,13:37:00,3823.00,3823.00,3822.00,3822.00,125,0\r\n2006-02-24,13:40:00,3822.00,3823.00,3822.00,3823.00,84,0\r\n2006-02-24,13:41:00,3823.00,3823.00,3823.00,3823.00,365,0\r\n2006-02-24,13:42:00,3823.00,3823.00,3822.00,3822.00,6,0\r\n2006-02-24,13:43:00,3822.00,3822.00,3822.00,3822.00,6,0\r\n2006-02-24,13:45:00,3822.00,3822.00,3822.00,3822.00,1006,0\r\n2006-02-24,13:46:00,3822.00,3823.00,3821.00,3821.00,530,0\r\n2006-02-24,13:47:00,3821.00,3821.00,3821.00,3821.00,130,0\r\n2006-02-24,13:48:00,3821.00,3821.00,3820.00,3820.00,88,0\r\n2006-02-24,13:49:00,3821.00,3821.00,3821.00,3821.00,9,0\r\n2006-02-24,13:50:00,3821.00,3821.00,3821.00,3821.00,29,0\r\n2006-02-24,13:51:00,3821.00,3821.00,3820.00,3820.00,6,0\r\n2006-02-24,13:52:00,3820.00,3820.00,3820.00,3820.00,9,0\r\n2006-02-24,13:53:00,3820.00,3820.00,3819.00,3819.00,252,0\r\n2006-02-24,13:54:00,3819.00,3820.00,3819.00,3819.00,269,0\r\n2006-02-24,13:55:00,3818.00,3820.00,3818.00,3820.00,8,0\r\n2006-02-24,13:56:00,3819.00,3820.00,3819.00,3820.00,534,0\r\n2006-02-24,13:57:00,3820.00,3820.00,3820.00,3820.00,16,0\r\n2006-02-24,13:58:00,3820.00,3820.00,3820.00,3820.00,1047,0\r\n2006-02-24,13:59:00,3820.00,3820.00,3819.00,3820.00,77,0\r\n2006-02-24,14:00:00,3820.00,3820.00,3819.00,3819.00,75,0\r\n2006-02-24,14:01:00,3820.00,3820.00,3819.00,3819.00,133,0\r\n2006-02-24,14:02:00,3820.00,3820.00,3820.00,3820.00,10,0\r\n2006-02-24,14:03:00,3820.00,3820.00,3819.00,3819.00,17,0\r\n2006-02-24,14:04:00,3820.00,3820.00,3820.00,3820.00,146,0\r\n2006-02-24,14:06:00,3819.00,3819.00,3819.00,3819.00,1,0\r\n2006-02-24,14:07:00,3820.00,3820.00,3819.00,3820.00,581,0\r\n2006-02-24,14:08:00,3820.00,3820.00,3820.00,3820.00,1,0\r\n2006-02-24,14:09:00,3819.00,3819.00,3819.00,3819.00,823,0\r\n2006-02-24,14:10:00,3819.00,3819.00,3817.00,3817.00,1069,0\r\n2006-02-24,14:11:00,3817.00,3817.00,3811.00,3813.00,5155,0\r\n2006-02-24,14:12:00,3813.00,3815.00,3813.00,3815.00,1916,0\r\n2006-02-24,14:13:00,3815.00,3816.00,3812.00,3812.00,2328,0\r\n2006-02-24,14:14:00,3812.00,3814.00,3809.00,3811.00,6670,0\r\n2006-02-24,14:15:00,3810.00,3815.00,3810.00,3814.00,2652,0\r\n2006-02-24,14:16:00,3814.00,3816.00,3813.00,3815.00,2346,0\r\n2006-02-24,14:17:00,3816.00,3817.00,3812.00,3812.00,2233,0\r\n2006-02-24,14:18:00,3812.00,3817.00,3812.00,3816.00,2662,0\r\n2006-02-24,14:19:00,3817.00,3818.00,3816.00,3817.00,693,0\r\n2006-02-24,14:20:00,3817.00,3818.00,3816.00,3817.00,843,0\r\n2006-02-24,14:21:00,3817.00,3817.00,3815.00,3816.00,860,0\r\n2006-02-24,14:22:00,3816.00,3816.00,3814.00,3815.00,718,0\r\n2006-02-24,14:23:00,3814.00,3815.00,3814.00,3814.00,1156,0\r\n2006-02-24,14:24:00,3814.00,3815.00,3812.00,3815.00,1433,0\r\n2006-02-24,14:25:00,3815.00,3815.00,3814.00,3815.00,167,0\r\n2006-02-24,14:26:00,3815.00,3815.00,3814.00,3815.00,1278,0\r\n2006-02-24,14:27:00,3815.00,3816.00,3815.00,3815.00,369,0\r\n2006-02-24,14:28:00,3815.00,3816.00,3815.00,3815.00,103,0\r\n2006-02-24,14:29:00,3815.00,3816.00,3815.00,3816.00,980,0\r\n2006-02-24,14:30:00,3816.00,3816.00,3815.00,3815.00,560,0\r\n2006-02-24,14:31:00,3815.00,3819.00,3811.00,3817.00,7311,0\r\n2006-02-24,14:32:00,3817.00,3819.00,3817.00,3817.00,3672,0\r\n2006-02-24,14:33:00,3817.00,3819.00,3817.00,3819.00,1762,0\r\n2006-02-24,14:34:00,3818.00,3818.00,3816.00,3817.00,1283,0\r\n2006-02-24,14:35:00,3817.00,3818.00,3816.00,3817.00,1080,0\r\n2006-02-24,14:36:00,3817.00,3821.00,3817.00,3821.00,2539,0\r\n2006-02-24,14:37:00,3821.00,3824.00,3821.00,3824.00,4029,0\r\n2006-02-24,14:38:00,3823.00,3823.00,3821.00,3821.00,1526,0\r\n2006-02-24,14:39:00,3821.00,3821.00,3820.00,3821.00,536,0\r\n2006-02-24,14:40:00,3821.00,3821.00,3820.00,3820.00,233,0\r\n2006-02-24,14:41:00,3821.00,3823.00,3820.00,3823.00,821,0\r\n2006-02-24,14:42:00,3822.00,3824.00,3821.00,3821.00,1083,0\r\n2006-02-24,14:43:00,3822.00,3822.00,3820.00,3820.00,674,0\r\n2006-02-24,14:44:00,3820.00,3822.00,3820.00,3820.00,436,0\r\n2006-02-24,14:45:00,3820.00,3821.00,3820.00,3820.00,11,0\r\n2006-02-24,14:46:00,3821.00,3821.00,3821.00,3821.00,833,0\r\n2006-02-24,14:47:00,3821.00,3822.00,3820.00,3821.00,900,0\r\n2006-02-24,14:48:00,3822.00,3822.00,3819.00,3822.00,633,0\r\n2006-02-24,14:49:00,3821.00,3821.00,3820.00,3820.00,562,0\r\n2006-02-24,14:50:00,3821.00,3821.00,3819.00,3820.00,552,0\r\n2006-02-24,14:51:00,3820.00,3821.00,3820.00,3821.00,437,0\r\n2006-02-24,14:52:00,3821.00,3821.00,3818.00,3818.00,1941,0\r\n2006-02-24,14:53:00,3818.00,3819.00,3816.00,3818.00,945,0\r\n2006-02-24,14:54:00,3818.00,3820.00,3818.00,3820.00,642,0\r\n2006-02-24,14:55:00,3819.00,3820.00,3817.00,3819.00,239,0\r\n2006-02-24,14:56:00,3819.00,3822.00,3818.00,3820.00,1208,0\r\n2006-02-24,14:57:00,3821.00,3821.00,3818.00,3818.00,592,0\r\n2006-02-24,14:58:00,3819.00,3820.00,3818.00,3819.00,261,0\r\n2006-02-24,14:59:00,3819.00,3820.00,3819.00,3819.00,192,0\r\n2006-02-24,15:00:00,3819.00,3819.00,3815.00,3815.00,1080,0\r\n2006-02-24,15:01:00,3815.00,3817.00,3815.00,3816.00,347,0\r\n2006-02-24,15:02:00,3817.00,3817.00,3816.00,3816.00,262,0\r\n2006-02-24,15:03:00,3816.00,3817.00,3816.00,3816.00,285,0\r\n2006-02-24,15:04:00,3816.00,3816.00,3816.00,3816.00,111,0\r\n2006-02-24,15:05:00,3816.00,3816.00,3816.00,3816.00,35,0\r\n2006-02-24,15:06:00,3816.00,3817.00,3815.00,3817.00,164,0\r\n2006-02-24,15:07:00,3816.00,3816.00,3815.00,3816.00,105,0\r\n2006-02-24,15:08:00,3816.00,3817.00,3816.00,3816.00,430,0\r\n2006-02-24,15:09:00,3815.00,3816.00,3815.00,3816.00,623,0\r\n2006-02-24,15:10:00,3815.00,3816.00,3814.00,3815.00,804,0\r\n2006-02-24,15:11:00,3814.00,3815.00,3813.00,3813.00,236,0\r\n2006-02-24,15:12:00,3814.00,3815.00,3814.00,3815.00,960,0\r\n2006-02-24,15:13:00,3815.00,3815.00,3814.00,3814.00,333,0\r\n2006-02-24,15:14:00,3814.00,3815.00,3814.00,3815.00,615,0\r\n2006-02-24,15:15:00,3816.00,3816.00,3815.00,3815.00,409,0\r\n2006-02-24,15:16:00,3815.00,3817.00,3815.00,3816.00,643,0\r\n2006-02-24,15:17:00,3816.00,3817.00,3816.00,3817.00,7,0\r\n2006-02-24,15:18:00,3817.00,3817.00,3816.00,3817.00,270,0\r\n2006-02-24,15:19:00,3817.00,3817.00,3817.00,3817.00,49,0\r\n2006-02-24,15:20:00,3816.00,3818.00,3816.00,3817.00,465,0\r\n2006-02-24,15:21:00,3816.00,3816.00,3816.00,3816.00,226,0\r\n2006-02-24,15:22:00,3817.00,3817.00,3815.00,3817.00,124,0\r\n2006-02-24,15:23:00,3816.00,3817.00,3816.00,3816.00,82,0\r\n2006-02-24,15:24:00,3816.00,3817.00,3816.00,3816.00,25,0\r\n2006-02-24,15:25:00,3816.00,3817.00,3816.00,3817.00,169,0\r\n2006-02-24,15:26:00,3816.00,3817.00,3816.00,3817.00,146,0\r\n2006-02-24,15:27:00,3816.00,3817.00,3816.00,3816.00,264,0\r\n2006-02-24,15:28:00,3816.00,3816.00,3816.00,3816.00,18,0\r\n2006-02-24,15:29:00,3815.00,3815.00,3815.00,3815.00,71,0\r\n2006-02-24,15:30:00,3816.00,3816.00,3815.00,3816.00,110,0\r\n2006-02-24,15:31:00,3816.00,3817.00,3816.00,3817.00,1019,0\r\n2006-02-24,15:32:00,3817.00,3818.00,3817.00,3818.00,396,0\r\n2006-02-24,15:33:00,3818.00,3818.00,3818.00,3818.00,331,0\r\n2006-02-24,15:34:00,3817.00,3818.00,3816.00,3816.00,769,0\r\n2006-02-24,15:35:00,3817.00,3817.00,3815.00,3815.00,1028,0\r\n2006-02-24,15:36:00,3815.00,3815.00,3813.00,3814.00,1425,0\r\n2006-02-24,15:37:00,3815.00,3815.00,3813.00,3814.00,1124,0\r\n2006-02-24,15:38:00,3814.00,3816.00,3814.00,3815.00,1419,0\r\n2006-02-24,15:39:00,3815.00,3816.00,3815.00,3815.00,1027,0\r\n2006-02-24,15:40:00,3815.00,3817.00,3815.00,3817.00,1031,0\r\n2006-02-24,15:41:00,3818.00,3818.00,3816.00,3816.00,766,0\r\n2006-02-24,15:42:00,3817.00,3818.00,3816.00,3818.00,1276,0\r\n2006-02-24,15:43:00,3817.00,3820.00,3817.00,3819.00,1509,0\r\n2006-02-24,15:44:00,3819.00,3820.00,3819.00,3820.00,2658,0\r\n2006-02-24,15:45:00,3820.00,3823.00,3820.00,3821.00,2115,0\r\n2006-02-24,15:46:00,3821.00,3823.00,3821.00,3823.00,882,0\r\n2006-02-24,15:47:00,3822.00,3822.00,3819.00,3821.00,1511,0\r\n2006-02-24,15:48:00,3820.00,3821.00,3819.00,3820.00,1938,0\r\n2006-02-24,15:49:00,3820.00,3821.00,3819.00,3820.00,562,0\r\n2006-02-24,15:50:00,3820.00,3822.00,3820.00,3820.00,1889,0\r\n2006-02-24,15:51:00,3820.00,3821.00,3818.00,3821.00,1668,0\r\n2006-02-24,15:52:00,3821.00,3824.00,3820.00,3822.00,1635,0\r\n2006-02-24,15:53:00,3822.00,3823.00,3822.00,3823.00,1008,0\r\n2006-02-24,15:54:00,3823.00,3823.00,3823.00,3823.00,547,0\r\n2006-02-24,15:55:00,3823.00,3824.00,3821.00,3821.00,1028,0\r\n2006-02-24,15:56:00,3821.00,3821.00,3820.00,3820.00,1509,0\r\n2006-02-24,15:57:00,3820.00,3823.00,3820.00,3823.00,1277,0\r\n2006-02-24,15:58:00,3823.00,3823.00,3822.00,3822.00,1061,0\r\n2006-02-24,15:59:00,3822.00,3823.00,3819.00,3821.00,1705,0\r\n2006-02-24,16:00:00,3820.00,3821.00,3819.00,3821.00,358,0\r\n2006-02-24,16:01:00,3821.00,3822.00,3820.00,3822.00,564,0\r\n2006-02-24,16:02:00,3822.00,3823.00,3822.00,3823.00,1432,0\r\n2006-02-24,16:03:00,3824.00,3825.00,3823.00,3824.00,1870,0\r\n2006-02-24,16:04:00,3825.00,3826.00,3824.00,3825.00,1707,0\r\n2006-02-24,16:05:00,3825.00,3828.00,3825.00,3825.00,1638,0\r\n2006-02-24,16:06:00,3825.00,3826.00,3825.00,3825.00,461,0\r\n2006-02-24,16:07:00,3825.00,3825.00,3824.00,3824.00,1216,0\r\n2006-02-24,16:08:00,3824.00,3825.00,3824.00,3824.00,792,0\r\n2006-02-24,16:09:00,3825.00,3827.00,3825.00,3826.00,1993,0\r\n2006-02-24,16:10:00,3825.00,3828.00,3825.00,3827.00,1921,0\r\n2006-02-24,16:11:00,3827.00,3830.00,3826.00,3829.00,3850,0\r\n2006-02-24,16:12:00,3829.00,3831.00,3828.00,3831.00,2451,0\r\n2006-02-24,16:13:00,3830.00,3831.00,3830.00,3831.00,1337,0\r\n2006-02-24,16:14:00,3830.00,3830.00,3829.00,3829.00,2031,0\r\n2006-02-24,16:15:00,3829.00,3829.00,3828.00,3829.00,622,0\r\n2006-02-24,16:16:00,3828.00,3829.00,3828.00,3828.00,1507,0\r\n2006-02-24,16:17:00,3828.00,3829.00,3828.00,3828.00,1105,0\r\n2006-02-24,16:18:00,3828.00,3829.00,3827.00,3829.00,1522,0\r\n2006-02-24,16:19:00,3828.00,3829.00,3825.00,3825.00,1443,0\r\n2006-02-24,16:20:00,3825.00,3827.00,3825.00,3826.00,622,0\r\n2006-02-24,16:21:00,3826.00,3828.00,3826.00,3828.00,981,0\r\n2006-02-24,16:22:00,3827.00,3827.00,3823.00,3824.00,2631,0\r\n2006-02-24,16:23:00,3823.00,3825.00,3823.00,3825.00,741,0\r\n2006-02-24,16:24:00,3824.00,3825.00,3824.00,3825.00,366,0\r\n2006-02-24,16:25:00,3824.00,3826.00,3822.00,3825.00,2618,0\r\n2006-02-24,16:26:00,3826.00,3826.00,3824.00,3824.00,1600,0\r\n2006-02-24,16:27:00,3824.00,3825.00,3823.00,3823.00,215,0\r\n2006-02-24,16:28:00,3824.00,3824.00,3822.00,3823.00,1816,0\r\n2006-02-24,16:29:00,3824.00,3825.00,3824.00,3824.00,695,0\r\n2006-02-24,16:30:00,3824.00,3824.00,3824.00,3824.00,209,0\r\n2006-02-24,16:31:00,3824.00,3825.00,3822.00,3823.00,1614,0\r\n2006-02-24,16:32:00,3822.00,3826.00,3822.00,3826.00,1172,0\r\n2006-02-24,16:33:00,3826.00,3826.00,3824.00,3825.00,1198,0\r\n2006-02-24,16:34:00,3825.00,3825.00,3824.00,3825.00,885,0\r\n2006-02-24,16:35:00,3824.00,3825.00,3823.00,3825.00,1916,0\r\n2006-02-24,16:36:00,3825.00,3826.00,3823.00,3825.00,1676,0\r\n2006-02-24,16:37:00,3825.00,3826.00,3824.00,3824.00,1120,0\r\n2006-02-24,16:38:00,3824.00,3824.00,3822.00,3823.00,1884,0\r\n2006-02-24,16:39:00,3823.00,3824.00,3822.00,3822.00,746,0\r\n2006-02-24,16:40:00,3822.00,3822.00,3820.00,3822.00,1745,0\r\n2006-02-24,16:41:00,3822.00,3822.00,3820.00,3821.00,3307,0\r\n2006-02-24,16:42:00,3821.00,3822.00,3820.00,3820.00,1677,0\r\n2006-02-24,16:43:00,3821.00,3824.00,3821.00,3823.00,591,0\r\n2006-02-24,16:44:00,3823.00,3824.00,3821.00,3822.00,868,0\r\n2006-02-24,16:45:00,3822.00,3823.00,3821.00,3823.00,361,0\r\n2006-02-24,16:46:00,3823.00,3823.00,3821.00,3821.00,507,0\r\n2006-02-24,16:47:00,3820.00,3821.00,3818.00,3819.00,1844,0\r\n2006-02-24,16:48:00,3819.00,3820.00,3818.00,3820.00,1056,0\r\n2006-02-24,16:49:00,3820.00,3823.00,3819.00,3822.00,1627,0\r\n2006-02-24,16:50:00,3821.00,3822.00,3821.00,3822.00,838,0\r\n2006-02-24,16:51:00,3822.00,3822.00,3819.00,3819.00,1740,0\r\n2006-02-24,16:52:00,3819.00,3821.00,3819.00,3821.00,960,0\r\n2006-02-24,16:53:00,3821.00,3821.00,3820.00,3820.00,908,0\r\n2006-02-24,16:54:00,3820.00,3821.00,3819.00,3820.00,568,0\r\n2006-02-24,16:55:00,3821.00,3823.00,3821.00,3823.00,1083,0\r\n2006-02-24,16:56:00,3822.00,3822.00,3822.00,3822.00,363,0\r\n2006-02-24,16:57:00,3822.00,3822.00,3822.00,3822.00,47,0\r\n2006-02-24,16:58:00,3823.00,3824.00,3823.00,3823.00,532,0\r\n2006-02-24,16:59:00,3822.00,3823.00,3821.00,3823.00,1436,0\r\n2006-02-24,17:00:00,3823.00,3825.00,3823.00,3825.00,913,0\r\n2006-02-24,17:01:00,3825.00,3826.00,3824.00,3825.00,970,0\r\n2006-02-24,17:02:00,3826.00,3826.00,3825.00,3825.00,973,0\r\n2006-02-24,17:03:00,3825.00,3825.00,3824.00,3824.00,363,0\r\n2006-02-24,17:04:00,3824.00,3826.00,3824.00,3825.00,260,0\r\n2006-02-24,17:05:00,3826.00,3827.00,3825.00,3826.00,682,0\r\n2006-02-24,17:06:00,3825.00,3826.00,3825.00,3826.00,858,0\r\n2006-02-24,17:07:00,3825.00,3826.00,3825.00,3826.00,853,0\r\n2006-02-24,17:08:00,3826.00,3826.00,3825.00,3826.00,7,0\r\n2006-02-24,17:09:00,3825.00,3826.00,3824.00,3824.00,520,0\r\n2006-02-24,17:10:00,3825.00,3827.00,3825.00,3827.00,1069,0\r\n2006-02-24,17:11:00,3827.00,3828.00,3826.00,3828.00,1053,0\r\n2006-02-24,17:12:00,3828.00,3828.00,3827.00,3828.00,1471,0\r\n2006-02-24,17:13:00,3828.00,3828.00,3826.00,3826.00,900,0\r\n2006-02-24,17:14:00,3826.00,3827.00,3826.00,3826.00,364,0\r\n2006-02-24,17:15:00,3827.00,3827.00,3826.00,3826.00,86,0\r\n2006-02-24,17:16:00,3827.00,3827.00,3825.00,3826.00,942,0\r\n2006-02-24,17:17:00,3826.00,3827.00,3825.00,3825.00,866,0\r\n2006-02-24,17:18:00,3824.00,3825.00,3824.00,3825.00,664,0\r\n2006-02-24,17:19:00,3825.00,3825.00,3824.00,3825.00,510,0\r\n2006-02-24,17:20:00,3825.00,3826.00,3825.00,3826.00,780,0\r\n2006-02-24,17:21:00,3825.00,3827.00,3825.00,3826.00,697,0\r\n2006-02-24,17:22:00,3826.00,3827.00,3826.00,3827.00,89,0\r\n2006-02-24,17:23:00,3827.00,3827.00,3825.00,3826.00,454,0\r\n2006-02-24,17:24:00,3826.00,3827.00,3825.00,3827.00,1139,0\r\n2006-02-24,17:25:00,3827.00,3827.00,3826.00,3827.00,197,0\r\n2006-02-24,17:26:00,3827.00,3829.00,3827.00,3829.00,2060,0\r\n2006-02-24,17:27:00,3829.00,3830.00,3828.00,3829.00,998,0\r\n2006-02-24,17:28:00,3830.00,3831.00,3829.00,3831.00,1332,0\r\n2006-02-24,17:29:00,3830.00,3831.00,3830.00,3830.00,2459,0\r\n2006-02-24,17:30:00,3831.00,3831.00,3828.00,3828.00,3857,0\r\n2006-02-24,17:31:00,3829.00,3829.00,3826.00,3828.00,3289,0\r\n2006-02-24,17:32:00,3828.00,3830.00,3828.00,3830.00,1521,0\r\n2006-02-24,17:33:00,3829.00,3832.00,3829.00,3832.00,2547,0\r\n2006-02-24,17:34:00,3833.00,3833.00,3830.00,3830.00,2829,0\r\n2006-02-24,17:35:00,3830.00,3832.00,3830.00,3832.00,617,0\r\n2006-02-24,17:36:00,3832.00,3836.00,3831.00,3836.00,3066,0\r\n2006-02-24,17:37:00,3835.00,3837.00,3835.00,3836.00,2187,0\r\n2006-02-24,17:38:00,3836.00,3836.00,3833.00,3833.00,1613,0\r\n2006-02-24,17:39:00,3833.00,3834.00,3833.00,3833.00,331,0\r\n2006-02-24,17:40:00,3833.00,3834.00,3832.00,3833.00,384,0\r\n2006-02-24,17:41:00,3833.00,3833.00,3832.00,3832.00,635,0\r\n2006-02-24,17:42:00,3832.00,3833.00,3830.00,3832.00,1471,0\r\n2006-02-24,17:43:00,3832.00,3832.00,3831.00,3831.00,121,0\r\n2006-02-24,17:44:00,3832.00,3832.00,3832.00,3832.00,535,0\r\n2006-02-24,17:45:00,3832.00,3832.00,3831.00,3831.00,219,0\r\n2006-02-24,17:46:00,3832.00,3832.00,3831.00,3832.00,681,0\r\n2006-02-24,17:47:00,3833.00,3833.00,3830.00,3830.00,650,0\r\n2006-02-24,17:48:00,3830.00,3833.00,3830.00,3833.00,882,0\r\n2006-02-24,17:49:00,3832.00,3832.00,3831.00,3832.00,501,0\r\n2006-02-24,17:50:00,3833.00,3833.00,3832.00,3833.00,457,0\r\n2006-02-24,17:51:00,3832.00,3833.00,3832.00,3833.00,86,0\r\n2006-02-24,17:52:00,3833.00,3833.00,3832.00,3833.00,172,0\r\n2006-02-24,17:53:00,3834.00,3834.00,3833.00,3834.00,362,0\r\n2006-02-24,17:54:00,3833.00,3834.00,3833.00,3834.00,394,0\r\n2006-02-24,17:55:00,3834.00,3834.00,3833.00,3833.00,90,0\r\n2006-02-24,17:56:00,3834.00,3834.00,3833.00,3833.00,19,0\r\n2006-02-24,17:57:00,3834.00,3835.00,3833.00,3833.00,301,0\r\n2006-02-24,17:58:00,3834.00,3834.00,3834.00,3834.00,184,0\r\n2006-02-24,17:59:00,3835.00,3835.00,3835.00,3835.00,364,0\r\n2006-02-24,18:00:00,3835.00,3836.00,3835.00,3836.00,182,0\r\n2006-02-24,18:01:00,3835.00,3835.00,3834.00,3835.00,1219,0\r\n2006-02-24,18:02:00,3835.00,3836.00,3835.00,3835.00,302,0\r\n2006-02-24,18:03:00,3835.00,3837.00,3835.00,3836.00,491,0\r\n2006-02-24,18:04:00,3836.00,3836.00,3835.00,3836.00,319,0\r\n2006-02-24,18:05:00,3836.00,3836.00,3836.00,3836.00,126,0\r\n2006-02-24,18:06:00,3836.00,3837.00,3835.00,3835.00,63,0\r\n2006-02-24,18:07:00,3836.00,3836.00,3835.00,3835.00,177,0\r\n2006-02-24,18:08:00,3836.00,3836.00,3835.00,3836.00,196,0\r\n2006-02-24,18:09:00,3835.00,3836.00,3835.00,3836.00,127,0\r\n2006-02-24,18:10:00,3836.00,3837.00,3836.00,3837.00,293,0\r\n2006-02-24,18:11:00,3836.00,3837.00,3836.00,3837.00,633,0\r\n2006-02-24,18:12:00,3837.00,3838.00,3837.00,3837.00,644,0\r\n2006-02-24,18:13:00,3836.00,3837.00,3834.00,3834.00,596,0\r\n2006-02-24,18:14:00,3835.00,3835.00,3835.00,3835.00,342,0\r\n2006-02-24,18:15:00,3835.00,3836.00,3834.00,3836.00,916,0\r\n2006-02-24,18:16:00,3836.00,3837.00,3836.00,3836.00,122,0\r\n2006-02-24,18:17:00,3836.00,3836.00,3835.00,3836.00,117,0\r\n2006-02-24,18:18:00,3835.00,3836.00,3835.00,3835.00,105,0\r\n2006-02-24,18:19:00,3835.00,3835.00,3834.00,3834.00,364,0\r\n2006-02-24,18:20:00,3835.00,3836.00,3835.00,3836.00,378,0\r\n2006-02-24,18:21:00,3835.00,3837.00,3835.00,3837.00,405,0\r\n2006-02-24,18:22:00,3837.00,3838.00,3837.00,3837.00,32,0\r\n2006-02-24,18:23:00,3837.00,3837.00,3836.00,3837.00,284,0\r\n2006-02-24,18:24:00,3836.00,3836.00,3836.00,3836.00,140,0\r\n2006-02-24,18:25:00,3836.00,3837.00,3835.00,3835.00,422,0\r\n2006-02-24,18:26:00,3836.00,3836.00,3835.00,3836.00,120,0\r\n2006-02-24,18:27:00,3836.00,3836.00,3836.00,3836.00,126,0\r\n2006-02-24,18:28:00,3836.00,3836.00,3835.00,3835.00,58,0\r\n2006-02-24,18:29:00,3835.00,3835.00,3835.00,3835.00,152,0\r\n2006-02-24,18:30:00,3835.00,3835.00,3834.00,3834.00,155,0\r\n2006-02-24,18:31:00,3834.00,3835.00,3834.00,3835.00,49,0\r\n2006-02-24,18:32:00,3834.00,3835.00,3834.00,3834.00,507,0\r\n2006-02-24,18:33:00,3834.00,3835.00,3834.00,3835.00,290,0\r\n2006-02-24,18:34:00,3835.00,3835.00,3835.00,3835.00,128,0\r\n2006-02-24,18:35:00,3835.00,3836.00,3835.00,3836.00,54,0\r\n2006-02-24,18:36:00,3836.00,3837.00,3836.00,3837.00,241,0\r\n2006-02-24,18:37:00,3836.00,3837.00,3836.00,3837.00,468,0\r\n2006-02-24,18:38:00,3837.00,3837.00,3837.00,3837.00,111,0\r\n2006-02-24,18:39:00,3837.00,3839.00,3837.00,3838.00,967,0\r\n2006-02-24,18:40:00,3838.00,3838.00,3837.00,3837.00,320,0\r\n2006-02-24,18:41:00,3837.00,3838.00,3836.00,3836.00,382,0\r\n2006-02-24,18:42:00,3836.00,3837.00,3836.00,3836.00,82,0\r\n2006-02-24,18:43:00,3837.00,3837.00,3837.00,3837.00,253,0\r\n2006-02-24,18:44:00,3837.00,3838.00,3837.00,3838.00,34,0\r\n2006-02-24,18:45:00,3838.00,3840.00,3838.00,3839.00,2153,0\r\n2006-02-24,18:46:00,3839.00,3839.00,3838.00,3839.00,212,0\r\n2006-02-24,18:47:00,3839.00,3840.00,3839.00,3839.00,215,0\r\n2006-02-24,18:48:00,3839.00,3839.00,3838.00,3838.00,314,0\r\n2006-02-24,18:49:00,3838.00,3838.00,3837.00,3837.00,152,0\r\n2006-02-24,18:50:00,3837.00,3837.00,3837.00,3837.00,152,0\r\n2006-02-24,18:51:00,3837.00,3837.00,3837.00,3837.00,28,0\r\n2006-02-24,18:52:00,3837.00,3838.00,3836.00,3836.00,80,0\r\n2006-02-24,18:53:00,3836.00,3836.00,3836.00,3836.00,129,0\r\n2006-02-24,18:54:00,3836.00,3836.00,3836.00,3836.00,15,0\r\n2006-02-24,18:55:00,3836.00,3837.00,3836.00,3837.00,60,0\r\n2006-02-24,18:56:00,3837.00,3837.00,3836.00,3837.00,102,0\r\n2006-02-24,18:57:00,3836.00,3836.00,3836.00,3836.00,1,0\r\n2006-02-24,18:58:00,3837.00,3837.00,3837.00,3837.00,276,0\r\n2006-02-24,18:59:00,3837.00,3837.00,3837.00,3837.00,28,0\r\n2006-02-24,19:00:00,3838.00,3838.00,3837.00,3837.00,2,0\r\n2006-02-24,19:01:00,3837.00,3838.00,3837.00,3838.00,215,0\r\n2006-02-24,19:02:00,3839.00,3840.00,3838.00,3839.00,205,0\r\n2006-02-24,19:03:00,3839.00,3839.00,3836.00,3836.00,293,0\r\n2006-02-24,19:04:00,3836.00,3837.00,3836.00,3837.00,116,0\r\n2006-02-24,19:05:00,3837.00,3837.00,3835.00,3836.00,313,0\r\n2006-02-24,19:06:00,3836.00,3836.00,3835.00,3836.00,223,0\r\n2006-02-24,19:07:00,3835.00,3836.00,3835.00,3836.00,50,0\r\n2006-02-24,19:08:00,3836.00,3836.00,3836.00,3836.00,252,0\r\n2006-02-24,19:09:00,3836.00,3836.00,3835.00,3835.00,316,0\r\n2006-02-24,19:10:00,3834.00,3834.00,3833.00,3834.00,440,0\r\n2006-02-24,19:11:00,3833.00,3834.00,3833.00,3834.00,253,0\r\n2006-02-24,19:12:00,3834.00,3834.00,3834.00,3834.00,3,0\r\n2006-02-24,19:13:00,3833.00,3833.00,3833.00,3833.00,239,0\r\n2006-02-24,19:14:00,3834.00,3835.00,3834.00,3834.00,203,0\r\n2006-02-24,19:15:00,3834.00,3834.00,3833.00,3833.00,4,0\r\n2006-02-24,19:16:00,3833.00,3835.00,3833.00,3835.00,93,0\r\n2006-02-24,19:18:00,3834.00,3834.00,3833.00,3834.00,40,0\r\n2006-02-24,19:20:00,3834.00,3834.00,3834.00,3834.00,25,0\r\n2006-02-24,19:21:00,3834.00,3835.00,3834.00,3835.00,81,0\r\n2006-02-24,19:23:00,3836.00,3836.00,3836.00,3836.00,79,0\r\n2006-02-24,19:24:00,3836.00,3836.00,3835.00,3835.00,146,0\r\n2006-02-24,19:25:00,3836.00,3836.00,3836.00,3836.00,7,0\r\n2006-02-24,19:26:00,3836.00,3836.00,3836.00,3836.00,1,0\r\n2006-02-24,19:28:00,3836.00,3836.00,3836.00,3836.00,11,0\r\n2006-02-24,19:29:00,3835.00,3835.00,3835.00,3835.00,195,0\r\n2006-02-24,19:30:00,3834.00,3835.00,3834.00,3834.00,126,0\r\n2006-02-24,19:31:00,3834.00,3834.00,3834.00,3834.00,33,0\r\n2006-02-24,19:32:00,3834.00,3834.00,3834.00,3834.00,3,0\r\n2006-02-24,19:33:00,3834.00,3834.00,3834.00,3834.00,20,0\r\n2006-02-24,19:34:00,3835.00,3835.00,3834.00,3834.00,28,0\r\n2006-02-24,19:35:00,3833.00,3833.00,3832.00,3833.00,593,0\r\n2006-02-24,19:36:00,3833.00,3833.00,3833.00,3833.00,37,0\r\n2006-02-24,19:37:00,3833.00,3834.00,3833.00,3834.00,77,0\r\n2006-02-24,19:38:00,3835.00,3835.00,3835.00,3835.00,63,0\r\n2006-02-24,19:39:00,3834.00,3834.00,3833.00,3834.00,53,0\r\n2006-02-24,19:40:00,3834.00,3834.00,3834.00,3834.00,190,0\r\n2006-02-24,19:41:00,3833.00,3833.00,3832.00,3832.00,111,0\r\n2006-02-24,19:42:00,3833.00,3833.00,3832.00,3832.00,46,0\r\n2006-02-24,19:43:00,3833.00,3833.00,3833.00,3833.00,40,0\r\n2006-02-24,19:44:00,3833.00,3833.00,3833.00,3833.00,1,0\r\n2006-02-24,19:45:00,3833.00,3833.00,3831.00,3831.00,185,0\r\n2006-02-24,19:46:00,3831.00,3831.00,3830.00,3831.00,296,0\r\n2006-02-24,19:47:00,3831.00,3831.00,3831.00,3831.00,22,0\r\n2006-02-24,19:48:00,3832.00,3832.00,3832.00,3832.00,9,0\r\n2006-02-24,19:49:00,3831.00,3833.00,3831.00,3831.00,303,0\r\n2006-02-24,19:50:00,3832.00,3833.00,3831.00,3833.00,74,0\r\n2006-02-24,19:51:00,3833.00,3833.00,3833.00,3833.00,28,0\r\n2006-02-24,19:52:00,3833.00,3833.00,3833.00,3833.00,22,0\r\n2006-02-24,19:54:00,3832.00,3832.00,3832.00,3832.00,35,0\r\n2006-02-24,19:55:00,3831.00,3831.00,3831.00,3831.00,210,0\r\n2006-02-24,19:56:00,3831.00,3831.00,3831.00,3831.00,110,0\r\n2006-02-24,19:57:00,3831.00,3831.00,3831.00,3831.00,100,0\r\n2006-02-24,19:58:00,3830.00,3830.00,3830.00,3830.00,231,0\r\n2006-02-24,19:59:00,3829.00,3830.00,3829.00,3830.00,830,0\r\n2006-02-24,20:00:00,3830.00,3830.00,3829.00,3830.00,48,0\r\n2006-02-24,20:01:00,3829.00,3832.00,3829.00,3832.00,320,0\r\n2006-02-24,20:02:00,3831.00,3831.00,3831.00,3831.00,56,0\r\n2006-02-24,20:03:00,3832.00,3834.00,3832.00,3833.00,248,0\r\n2006-02-24,20:04:00,3834.00,3834.00,3834.00,3834.00,10,0\r\n2006-02-24,20:06:00,3834.00,3834.00,3834.00,3834.00,4,0\r\n2006-02-24,20:07:00,3833.00,3833.00,3833.00,3833.00,10,0\r\n2006-02-24,20:08:00,3834.00,3834.00,3833.00,3833.00,30,0\r\n2006-02-24,20:09:00,3833.00,3833.00,3833.00,3833.00,2,0\r\n2006-02-24,20:10:00,3833.00,3833.00,3833.00,3833.00,2,0\r\n2006-02-24,20:11:00,3833.00,3833.00,3831.00,3831.00,217,0\r\n2006-02-24,20:12:00,3832.00,3834.00,3832.00,3833.00,66,0\r\n2006-02-24,20:13:00,3832.00,3832.00,3832.00,3832.00,21,0\r\n2006-02-24,20:15:00,3832.00,3832.00,3831.00,3831.00,118,0\r\n2006-02-24,20:16:00,3831.00,3831.00,3831.00,3831.00,183,0\r\n2006-02-24,20:17:00,3831.00,3831.00,3831.00,3831.00,50,0\r\n2006-02-24,20:18:00,3832.00,3832.00,3832.00,3832.00,36,0\r\n2006-02-24,20:19:00,3832.00,3832.00,3832.00,3832.00,63,0\r\n2006-02-24,20:20:00,3831.00,3832.00,3831.00,3832.00,3,0\r\n2006-02-24,20:21:00,3832.00,3832.00,3832.00,3832.00,97,0\r\n2006-02-24,20:22:00,3833.00,3833.00,3833.00,3833.00,39,0\r\n2006-02-24,20:23:00,3833.00,3833.00,3833.00,3833.00,57,0\r\n2006-02-24,20:24:00,3833.00,3833.00,3833.00,3833.00,15,0\r\n2006-02-24,20:26:00,3834.00,3834.00,3834.00,3834.00,1,0\r\n2006-02-24,20:27:00,3833.00,3833.00,3833.00,3833.00,12,0\r\n2006-02-24,20:28:00,3833.00,3833.00,3833.00,3833.00,3,0\r\n2006-02-24,20:29:00,3833.00,3833.00,3833.00,3833.00,4,0\r\n2006-02-24,20:30:00,3833.00,3833.00,3833.00,3833.00,6,0\r\n2006-02-24,20:31:00,3833.00,3833.00,3833.00,3833.00,1,0\r\n2006-02-24,20:32:00,3834.00,3834.00,3831.00,3831.00,234,0\r\n2006-02-24,20:33:00,3831.00,3831.00,3831.00,3831.00,175,0\r\n2006-02-24,20:34:00,3831.00,3831.00,3831.00,3831.00,1,0\r\n2006-02-24,20:35:00,3831.00,3835.00,3831.00,3835.00,339,0\r\n2006-02-24,20:36:00,3835.00,3835.00,3834.00,3834.00,70,0\r\n2006-02-24,20:37:00,3834.00,3834.00,3834.00,3834.00,2,0\r\n2006-02-24,20:38:00,3834.00,3835.00,3834.00,3835.00,121,0\r\n2006-02-24,20:39:00,3836.00,3836.00,3836.00,3836.00,5,0\r\n2006-02-24,20:40:00,3836.00,3836.00,3836.00,3836.00,44,0\r\n2006-02-24,20:41:00,3836.00,3836.00,3835.00,3835.00,88,0\r\n2006-02-24,20:42:00,3835.00,3835.00,3834.00,3834.00,240,0\r\n2006-02-24,20:43:00,3835.00,3835.00,3835.00,3835.00,39,0\r\n2006-02-24,20:44:00,3835.00,3835.00,3835.00,3835.00,1,0\r\n2006-02-24,20:46:00,3835.00,3836.00,3834.00,3835.00,125,0\r\n2006-02-24,20:47:00,3835.00,3835.00,3835.00,3835.00,5,0\r\n2006-02-24,20:48:00,3834.00,3834.00,3832.00,3833.00,113,0\r\n2006-02-24,20:49:00,3833.00,3834.00,3833.00,3834.00,8,0\r\n2006-02-24,20:50:00,3834.00,3834.00,3834.00,3834.00,5,0\r\n2006-02-24,20:51:00,3834.00,3834.00,3834.00,3834.00,18,0\r\n2006-02-24,20:52:00,3834.00,3834.00,3834.00,3834.00,4,0\r\n2006-02-24,20:53:00,3835.00,3837.00,3835.00,3836.00,55,0\r\n2006-02-24,20:54:00,3836.00,3836.00,3835.00,3835.00,5,0\r\n2006-02-24,20:55:00,3834.00,3835.00,3834.00,3835.00,4,0\r\n2006-02-24,20:56:00,3834.00,3835.00,3834.00,3835.00,4,0\r\n2006-02-24,20:57:00,3835.00,3835.00,3835.00,3835.00,44,0\r\n2006-02-24,20:58:00,3835.00,3835.00,3835.00,3835.00,10,0\r\n2006-02-24,20:59:00,3835.00,3835.00,3835.00,3835.00,29,0\r\n2006-02-24,21:00:00,3835.00,3837.00,3835.00,3836.00,501,0\r\n2006-02-24,21:01:00,3837.00,3837.00,3837.00,3837.00,104,0\r\n2006-02-24,21:02:00,3837.00,3837.00,3837.00,3837.00,15,0\r\n2006-02-24,21:03:00,3837.00,3838.00,3837.00,3837.00,53,0\r\n2006-02-24,21:04:00,3837.00,3837.00,3836.00,3836.00,86,0\r\n2006-02-24,21:05:00,3836.00,3836.00,3836.00,3836.00,75,0\r\n2006-02-24,21:06:00,3836.00,3836.00,3836.00,3836.00,45,0\r\n2006-02-24,21:07:00,3835.00,3835.00,3835.00,3835.00,22,0\r\n2006-02-24,21:08:00,3835.00,3835.00,3835.00,3835.00,24,0\r\n2006-02-24,21:09:00,3834.00,3834.00,3834.00,3834.00,21,0\r\n2006-02-24,21:10:00,3834.00,3834.00,3834.00,3834.00,64,0\r\n2006-02-24,21:11:00,3833.00,3833.00,3833.00,3833.00,100,0\r\n2006-02-24,21:12:00,3833.00,3833.00,3833.00,3833.00,9,0\r\n2006-02-24,21:14:00,3834.00,3834.00,3834.00,3834.00,12,0\r\n2006-02-24,21:15:00,3834.00,3834.00,3834.00,3834.00,4,0\r\n2006-02-24,21:16:00,3833.00,3833.00,3833.00,3833.00,88,0\r\n2006-02-24,21:17:00,3833.00,3833.00,3833.00,3833.00,112,0\r\n2006-02-24,21:18:00,3833.00,3833.00,3833.00,3833.00,30,0\r\n2006-02-24,21:20:00,3833.00,3833.00,3833.00,3833.00,4,0\r\n2006-02-24,21:21:00,3833.00,3833.00,3833.00,3833.00,6,0\r\n2006-02-24,21:22:00,3833.00,3833.00,3833.00,3833.00,98,0\r\n2006-02-24,21:23:00,3833.00,3834.00,3833.00,3834.00,7,0\r\n2006-02-24,21:25:00,3834.00,3834.00,3834.00,3834.00,4,0\r\n2006-02-24,21:26:00,3834.00,3834.00,3834.00,3834.00,71,0\r\n2006-02-24,21:30:00,3834.00,3834.00,3834.00,3834.00,97,0\r\n2006-02-24,21:31:00,3833.00,3833.00,3831.00,3831.00,335,0\r\n2006-02-24,21:32:00,3831.00,3831.00,3830.00,3830.00,505,0\r\n2006-02-24,21:33:00,3830.00,3831.00,3830.00,3831.00,60,0\r\n2006-02-24,21:34:00,3831.00,3831.00,3830.00,3830.00,11,0\r\n2006-02-24,21:35:00,3830.00,3831.00,3830.00,3831.00,27,0\r\n2006-02-24,21:36:00,3830.00,3830.00,3830.00,3830.00,50,0\r\n2006-02-24,21:37:00,3830.00,3830.00,3830.00,3830.00,67,0\r\n2006-02-24,21:39:00,3829.00,3830.00,3829.00,3830.00,147,0\r\n2006-02-24,21:40:00,3829.00,3829.00,3829.00,3829.00,58,0\r\n2006-02-24,21:41:00,3830.00,3830.00,3830.00,3830.00,165,0\r\n2006-02-24,21:42:00,3831.00,3831.00,3830.00,3830.00,61,0\r\n2006-02-24,21:44:00,3829.00,3829.00,3829.00,3829.00,40,0\r\n2006-02-24,21:45:00,3829.00,3830.00,3829.00,3830.00,156,0\r\n2006-02-24,21:46:00,3830.00,3830.00,3830.00,3830.00,1,0\r\n2006-02-24,21:47:00,3830.00,3830.00,3830.00,3830.00,4,0\r\n2006-02-24,21:48:00,3831.00,3831.00,3830.00,3830.00,20,0\r\n2006-02-24,21:49:00,3830.00,3830.00,3828.00,3828.00,23,0\r\n2006-02-24,21:50:00,3829.00,3829.00,3829.00,3829.00,62,0\r\n2006-02-24,21:51:00,3829.00,3829.00,3828.00,3828.00,49,0\r\n2006-02-24,21:52:00,3829.00,3830.00,3829.00,3829.00,18,0\r\n2006-02-24,21:53:00,3829.00,3830.00,3829.00,3829.00,17,0\r\n2006-02-24,21:54:00,3830.00,3830.00,3829.00,3829.00,18,0\r\n2006-02-24,21:55:00,3829.00,3830.00,3829.00,3830.00,33,0\r\n2006-02-24,21:56:00,3829.00,3830.00,3829.00,3830.00,45,0\r\n2006-02-24,21:57:00,3829.00,3830.00,3829.00,3830.00,24,0\r\n2006-02-24,21:58:00,3830.00,3830.00,3830.00,3830.00,42,0\r\n2006-02-24,21:59:00,3830.00,3830.00,3829.00,3830.00,111,0\r\n2006-02-24,22:00:00,3830.00,3831.00,3828.00,3829.00,920,0\r\n2006-02-27,09:01:00,3839.00,3842.00,3838.00,3841.00,5521,0\r\n2006-02-27,09:02:00,3841.00,3841.00,3837.00,3837.00,2698,0\r\n2006-02-27,09:03:00,3838.00,3839.00,3837.00,3837.00,1322,0\r\n2006-02-27,09:04:00,3838.00,3839.00,3836.00,3837.00,880,0\r\n2006-02-27,09:05:00,3837.00,3837.00,3834.00,3837.00,1921,0\r\n2006-02-27,09:06:00,3837.00,3837.00,3835.00,3836.00,530,0\r\n2006-02-27,09:07:00,3836.00,3837.00,3835.00,3836.00,682,0\r\n2006-02-27,09:08:00,3837.00,3837.00,3835.00,3835.00,829,0\r\n2006-02-27,09:09:00,3835.00,3836.00,3833.00,3834.00,850,0\r\n2006-02-27,09:10:00,3834.00,3836.00,3834.00,3836.00,600,0\r\n2006-02-27,09:11:00,3836.00,3836.00,3833.00,3836.00,1595,0\r\n2006-02-27,09:12:00,3835.00,3837.00,3835.00,3835.00,530,0\r\n2006-02-27,09:13:00,3835.00,3835.00,3833.00,3835.00,615,0\r\n2006-02-27,09:14:00,3834.00,3834.00,3831.00,3832.00,2193,0\r\n2006-02-27,09:15:00,3832.00,3834.00,3832.00,3834.00,1010,0\r\n2006-02-27,09:16:00,3833.00,3833.00,3829.00,3830.00,2326,0\r\n2006-02-27,09:17:00,3830.00,3831.00,3829.00,3830.00,1852,0\r\n2006-02-27,09:18:00,3830.00,3833.00,3830.00,3833.00,1154,0\r\n2006-02-27,09:19:00,3833.00,3833.00,3831.00,3831.00,568,0\r\n2006-02-27,09:20:00,3831.00,3831.00,3830.00,3831.00,302,0\r\n2006-02-27,09:21:00,3832.00,3833.00,3832.00,3833.00,247,0\r\n2006-02-27,09:22:00,3832.00,3834.00,3832.00,3833.00,523,0\r\n2006-02-27,09:23:00,3832.00,3833.00,3830.00,3830.00,248,0\r\n2006-02-27,09:24:00,3831.00,3831.00,3831.00,3831.00,131,0\r\n2006-02-27,09:25:00,3831.00,3833.00,3831.00,3833.00,101,0\r\n2006-02-27,09:26:00,3832.00,3832.00,3831.00,3832.00,343,0\r\n2006-02-27,09:27:00,3832.00,3834.00,3832.00,3833.00,381,0\r\n2006-02-27,09:28:00,3832.00,3833.00,3832.00,3832.00,248,0\r\n2006-02-27,09:29:00,3832.00,3833.00,3832.00,3833.00,1028,0\r\n2006-02-27,09:30:00,3832.00,3833.00,3832.00,3833.00,113,0\r\n2006-02-27,09:31:00,3833.00,3834.00,3832.00,3833.00,368,0\r\n2006-02-27,09:32:00,3833.00,3834.00,3832.00,3832.00,199,0\r\n2006-02-27,09:33:00,3832.00,3835.00,3832.00,3833.00,875,0\r\n2006-02-27,09:34:00,3833.00,3833.00,3832.00,3833.00,209,0\r\n2006-02-27,09:35:00,3833.00,3834.00,3832.00,3833.00,447,0\r\n2006-02-27,09:36:00,3832.00,3833.00,3832.00,3833.00,129,0\r\n2006-02-27,09:37:00,3834.00,3834.00,3833.00,3834.00,111,0\r\n2006-02-27,09:38:00,3834.00,3834.00,3834.00,3834.00,52,0\r\n2006-02-27,09:39:00,3834.00,3834.00,3834.00,3834.00,478,0\r\n2006-02-27,09:40:00,3834.00,3836.00,3833.00,3834.00,1260,0\r\n2006-02-27,09:41:00,3833.00,3833.00,3832.00,3833.00,216,0\r\n2006-02-27,09:42:00,3833.00,3833.00,3832.00,3832.00,297,0\r\n2006-02-27,09:43:00,3832.00,3833.00,3832.00,3833.00,83,0\r\n2006-02-27,09:44:00,3834.00,3834.00,3831.00,3832.00,483,0\r\n2006-02-27,09:45:00,3832.00,3833.00,3832.00,3833.00,424,0\r\n2006-02-27,09:46:00,3833.00,3835.00,3833.00,3834.00,261,0\r\n2006-02-27,09:47:00,3834.00,3836.00,3834.00,3836.00,658,0\r\n2006-02-27,09:48:00,3836.00,3837.00,3836.00,3837.00,560,0\r\n2006-02-27,09:49:00,3837.00,3838.00,3837.00,3837.00,470,0\r\n2006-02-27,09:50:00,3837.00,3838.00,3836.00,3837.00,388,0\r\n2006-02-27,09:51:00,3837.00,3837.00,3836.00,3836.00,401,0\r\n2006-02-27,09:52:00,3836.00,3837.00,3836.00,3837.00,778,0\r\n2006-02-27,09:53:00,3837.00,3837.00,3836.00,3837.00,561,0\r\n2006-02-27,09:54:00,3837.00,3837.00,3836.00,3837.00,793,0\r\n2006-02-27,09:55:00,3837.00,3838.00,3837.00,3837.00,48,0\r\n2006-02-27,09:56:00,3837.00,3838.00,3837.00,3838.00,782,0\r\n2006-02-27,09:57:00,3838.00,3838.00,3837.00,3838.00,42,0\r\n2006-02-27,09:58:00,3838.00,3838.00,3837.00,3838.00,499,0\r\n2006-02-27,09:59:00,3838.00,3838.00,3836.00,3836.00,295,0\r\n2006-02-27,10:00:00,3836.00,3838.00,3836.00,3838.00,500,0\r\n2006-02-27,10:01:00,3838.00,3838.00,3836.00,3837.00,491,0\r\n2006-02-27,10:02:00,3837.00,3840.00,3837.00,3839.00,1037,0\r\n2006-02-27,10:03:00,3840.00,3841.00,3839.00,3840.00,805,0\r\n2006-02-27,10:04:00,3840.00,3841.00,3840.00,3840.00,410,0\r\n2006-02-27,10:05:00,3841.00,3841.00,3839.00,3839.00,540,0\r\n2006-02-27,10:06:00,3840.00,3840.00,3839.00,3840.00,772,0\r\n2006-02-27,10:07:00,3839.00,3840.00,3839.00,3840.00,273,0\r\n2006-02-27,10:08:00,3840.00,3842.00,3840.00,3840.00,1399,0\r\n2006-02-27,10:09:00,3840.00,3840.00,3840.00,3840.00,459,0\r\n2006-02-27,10:10:00,3840.00,3840.00,3839.00,3839.00,16,0\r\n2006-02-27,10:11:00,3839.00,3840.00,3838.00,3838.00,364,0\r\n2006-02-27,10:12:00,3838.00,3839.00,3838.00,3838.00,122,0\r\n2006-02-27,10:13:00,3838.00,3838.00,3838.00,3838.00,343,0\r\n2006-02-27,10:14:00,3838.00,3839.00,3838.00,3838.00,129,0\r\n2006-02-27,10:15:00,3838.00,3839.00,3838.00,3839.00,452,0\r\n2006-02-27,10:16:00,3839.00,3840.00,3839.00,3840.00,478,0\r\n2006-02-27,10:17:00,3839.00,3840.00,3839.00,3839.00,94,0\r\n2006-02-27,10:18:00,3840.00,3842.00,3840.00,3840.00,901,0\r\n2006-02-27,10:19:00,3840.00,3840.00,3839.00,3840.00,468,0\r\n2006-02-27,10:20:00,3841.00,3841.00,3840.00,3840.00,438,0\r\n2006-02-27,10:21:00,3841.00,3842.00,3841.00,3841.00,349,0\r\n2006-02-27,10:22:00,3841.00,3841.00,3839.00,3839.00,1059,0\r\n2006-02-27,10:23:00,3840.00,3840.00,3839.00,3839.00,756,0\r\n2006-02-27,10:24:00,3840.00,3840.00,3838.00,3838.00,271,0\r\n2006-02-27,10:25:00,3839.00,3840.00,3838.00,3839.00,365,0\r\n2006-02-27,10:26:00,3839.00,3840.00,3838.00,3840.00,203,0\r\n2006-02-27,10:27:00,3840.00,3840.00,3839.00,3840.00,9,0\r\n2006-02-27,10:28:00,3840.00,3840.00,3839.00,3839.00,630,0\r\n2006-02-27,10:29:00,3839.00,3839.00,3839.00,3839.00,2,0\r\n2006-02-27,10:30:00,3838.00,3839.00,3838.00,3839.00,3,0\r\n2006-02-27,10:31:00,3839.00,3841.00,3839.00,3840.00,777,0\r\n2006-02-27,10:32:00,3840.00,3840.00,3838.00,3838.00,165,0\r\n2006-02-27,10:33:00,3839.00,3839.00,3838.00,3838.00,732,0\r\n2006-02-27,10:34:00,3838.00,3839.00,3838.00,3839.00,82,0\r\n2006-02-27,10:35:00,3839.00,3839.00,3839.00,3839.00,97,0\r\n2006-02-27,10:36:00,3838.00,3839.00,3838.00,3839.00,58,0\r\n2006-02-27,10:37:00,3839.00,3840.00,3839.00,3839.00,649,0\r\n2006-02-27,10:38:00,3839.00,3839.00,3836.00,3837.00,796,0\r\n2006-02-27,10:39:00,3837.00,3837.00,3836.00,3836.00,74,0\r\n2006-02-27,10:40:00,3837.00,3837.00,3836.00,3836.00,311,0\r\n2006-02-27,10:41:00,3837.00,3837.00,3836.00,3837.00,437,0\r\n2006-02-27,10:42:00,3836.00,3837.00,3836.00,3837.00,289,0\r\n2006-02-27,10:43:00,3837.00,3837.00,3837.00,3837.00,156,0\r\n2006-02-27,10:44:00,3838.00,3838.00,3838.00,3838.00,2,0\r\n2006-02-27,10:45:00,3838.00,3840.00,3838.00,3839.00,313,0\r\n2006-02-27,10:46:00,3839.00,3839.00,3839.00,3839.00,21,0\r\n2006-02-27,10:47:00,3838.00,3838.00,3838.00,3838.00,4,0\r\n2006-02-27,10:48:00,3838.00,3839.00,3838.00,3839.00,486,0\r\n2006-02-27,10:49:00,3839.00,3839.00,3838.00,3838.00,2,0\r\n2006-02-27,10:50:00,3838.00,3839.00,3838.00,3838.00,183,0\r\n2006-02-27,10:51:00,3838.00,3838.00,3837.00,3837.00,75,0\r\n2006-02-27,10:52:00,3837.00,3837.00,3837.00,3837.00,8,0\r\n2006-02-27,10:53:00,3837.00,3838.00,3837.00,3837.00,30,0\r\n2006-02-27,10:54:00,3837.00,3837.00,3837.00,3837.00,32,0\r\n2006-02-27,10:55:00,3837.00,3837.00,3836.00,3836.00,394,0\r\n2006-02-27,10:56:00,3836.00,3836.00,3835.00,3835.00,730,0\r\n2006-02-27,10:57:00,3835.00,3835.00,3835.00,3835.00,17,0\r\n2006-02-27,10:58:00,3835.00,3835.00,3834.00,3835.00,423,0\r\n2006-02-27,10:59:00,3835.00,3836.00,3834.00,3836.00,250,0\r\n2006-02-27,11:00:00,3835.00,3836.00,3835.00,3835.00,619,0\r\n2006-02-27,11:01:00,3835.00,3836.00,3835.00,3836.00,759,0\r\n2006-02-27,11:02:00,3836.00,3836.00,3835.00,3835.00,53,0\r\n2006-02-27,11:03:00,3835.00,3835.00,3835.00,3835.00,1,0\r\n2006-02-27,11:04:00,3835.00,3835.00,3835.00,3835.00,13,0\r\n2006-02-27,11:05:00,3835.00,3835.00,3835.00,3835.00,5,0\r\n2006-02-27,11:06:00,3835.00,3835.00,3835.00,3835.00,305,0\r\n2006-02-27,11:07:00,3835.00,3835.00,3835.00,3835.00,50,0\r\n2006-02-27,11:08:00,3835.00,3836.00,3835.00,3835.00,62,0\r\n2006-02-27,11:09:00,3836.00,3838.00,3836.00,3838.00,440,0\r\n2006-02-27,11:10:00,3837.00,3837.00,3837.00,3837.00,189,0\r\n2006-02-27,11:11:00,3838.00,3838.00,3836.00,3836.00,67,0\r\n2006-02-27,11:12:00,3837.00,3837.00,3836.00,3836.00,29,0\r\n2006-02-27,11:13:00,3837.00,3837.00,3836.00,3836.00,15,0\r\n2006-02-27,11:15:00,3837.00,3837.00,3837.00,3837.00,2,0\r\n2006-02-27,11:16:00,3836.00,3836.00,3836.00,3836.00,1,0\r\n2006-02-27,11:18:00,3836.00,3836.00,3836.00,3836.00,80,0\r\n2006-02-27,11:19:00,3836.00,3837.00,3836.00,3836.00,10,0\r\n2006-02-27,11:20:00,3836.00,3837.00,3836.00,3837.00,17,0\r\n2006-02-27,11:21:00,3837.00,3837.00,3836.00,3837.00,32,0\r\n2006-02-27,11:22:00,3837.00,3837.00,3836.00,3836.00,6,0\r\n2006-02-27,11:23:00,3836.00,3837.00,3836.00,3836.00,45,0\r\n2006-02-27,11:24:00,3836.00,3837.00,3836.00,3836.00,295,0\r\n2006-02-27,11:25:00,3836.00,3837.00,3836.00,3836.00,54,0\r\n2006-02-27,11:26:00,3837.00,3837.00,3836.00,3837.00,322,0\r\n2006-02-27,11:27:00,3836.00,3837.00,3836.00,3836.00,210,0\r\n2006-02-27,11:28:00,3837.00,3837.00,3837.00,3837.00,15,0\r\n2006-02-27,11:29:00,3836.00,3837.00,3836.00,3837.00,51,0\r\n2006-02-27,11:30:00,3837.00,3837.00,3836.00,3836.00,113,0\r\n2006-02-27,11:31:00,3837.00,3837.00,3836.00,3837.00,121,0\r\n2006-02-27,11:32:00,3837.00,3837.00,3837.00,3837.00,3,0\r\n2006-02-27,11:33:00,3837.00,3837.00,3836.00,3836.00,436,0\r\n2006-02-27,11:34:00,3836.00,3836.00,3835.00,3835.00,3,0\r\n2006-02-27,11:35:00,3836.00,3836.00,3835.00,3835.00,5,0\r\n2006-02-27,11:36:00,3835.00,3835.00,3835.00,3835.00,113,0\r\n2006-02-27,11:37:00,3835.00,3835.00,3834.00,3834.00,727,0\r\n2006-02-27,11:38:00,3835.00,3835.00,3834.00,3835.00,324,0\r\n2006-02-27,11:39:00,3835.00,3836.00,3834.00,3834.00,237,0\r\n2006-02-27,11:40:00,3835.00,3835.00,3833.00,3833.00,845,0\r\n2006-02-27,11:41:00,3833.00,3834.00,3833.00,3834.00,259,0\r\n2006-02-27,11:42:00,3835.00,3835.00,3834.00,3834.00,18,0\r\n2006-02-27,11:43:00,3835.00,3835.00,3835.00,3835.00,1,0\r\n2006-02-27,11:44:00,3835.00,3835.00,3835.00,3835.00,1,0\r\n2006-02-27,11:45:00,3835.00,3835.00,3834.00,3835.00,168,0\r\n2006-02-27,11:46:00,3835.00,3835.00,3835.00,3835.00,7,0\r\n2006-02-27,11:47:00,3834.00,3834.00,3834.00,3834.00,2,0\r\n2006-02-27,11:48:00,3835.00,3835.00,3834.00,3834.00,257,0\r\n2006-02-27,11:49:00,3834.00,3834.00,3834.00,3834.00,1,0\r\n2006-02-27,11:50:00,3835.00,3835.00,3834.00,3834.00,23,0\r\n2006-02-27,11:51:00,3835.00,3835.00,3834.00,3834.00,22,0\r\n2006-02-27,11:52:00,3835.00,3836.00,3834.00,3835.00,379,0\r\n2006-02-27,11:53:00,3835.00,3836.00,3835.00,3836.00,39,0\r\n2006-02-27,11:54:00,3836.00,3837.00,3836.00,3836.00,461,0\r\n2006-02-27,11:55:00,3836.00,3836.00,3836.00,3836.00,132,0\r\n2006-02-27,11:56:00,3836.00,3836.00,3835.00,3835.00,178,0\r\n2006-02-27,11:57:00,3835.00,3835.00,3835.00,3835.00,10,0\r\n2006-02-27,11:58:00,3835.00,3835.00,3835.00,3835.00,37,0\r\n2006-02-27,11:59:00,3835.00,3835.00,3834.00,3834.00,176,0\r\n2006-02-27,12:00:00,3834.00,3834.00,3834.00,3834.00,1,0\r\n2006-02-27,12:01:00,3834.00,3835.00,3832.00,3833.00,951,0\r\n2006-02-27,12:02:00,3833.00,3833.00,3833.00,3833.00,257,0\r\n2006-02-27,12:03:00,3833.00,3833.00,3833.00,3833.00,144,0\r\n2006-02-27,12:04:00,3833.00,3834.00,3833.00,3833.00,44,0\r\n2006-02-27,12:05:00,3833.00,3833.00,3832.00,3832.00,621,0\r\n2006-02-27,12:06:00,3832.00,3832.00,3830.00,3831.00,648,0\r\n2006-02-27,12:07:00,3831.00,3831.00,3829.00,3830.00,1495,0\r\n2006-02-27,12:08:00,3830.00,3830.00,3830.00,3830.00,197,0\r\n2006-02-27,12:09:00,3830.00,3831.00,3830.00,3830.00,318,0\r\n2006-02-27,12:10:00,3830.00,3831.00,3830.00,3831.00,270,0\r\n2006-02-27,12:11:00,3830.00,3831.00,3830.00,3831.00,179,0\r\n2006-02-27,12:12:00,3831.00,3831.00,3831.00,3831.00,90,0\r\n2006-02-27,12:13:00,3832.00,3832.00,3832.00,3832.00,179,0\r\n2006-02-27,12:14:00,3831.00,3832.00,3831.00,3831.00,258,0\r\n2006-02-27,12:15:00,3831.00,3831.00,3830.00,3831.00,9,0\r\n2006-02-27,12:16:00,3830.00,3830.00,3830.00,3830.00,375,0\r\n2006-02-27,12:17:00,3830.00,3830.00,3829.00,3830.00,252,0\r\n2006-02-27,12:18:00,3829.00,3830.00,3828.00,3829.00,795,0\r\n2006-02-27,12:19:00,3830.00,3830.00,3830.00,3830.00,309,0\r\n2006-02-27,12:20:00,3830.00,3830.00,3830.00,3830.00,40,0\r\n2006-02-27,12:21:00,3830.00,3830.00,3829.00,3830.00,88,0\r\n2006-02-27,12:22:00,3830.00,3830.00,3829.00,3830.00,507,0\r\n2006-02-27,12:23:00,3830.00,3831.00,3830.00,3831.00,88,0\r\n2006-02-27,12:24:00,3831.00,3831.00,3831.00,3831.00,23,0\r\n2006-02-27,12:25:00,3831.00,3831.00,3830.00,3830.00,211,0\r\n2006-02-27,12:26:00,3830.00,3830.00,3829.00,3829.00,658,0\r\n2006-02-27,12:27:00,3829.00,3830.00,3829.00,3830.00,250,0\r\n2006-02-27,12:28:00,3830.00,3830.00,3829.00,3830.00,135,0\r\n2006-02-27,12:29:00,3830.00,3830.00,3830.00,3830.00,120,0\r\n2006-02-27,12:30:00,3830.00,3830.00,3829.00,3830.00,4,0\r\n2006-02-27,12:31:00,3830.00,3830.00,3829.00,3829.00,141,0\r\n2006-02-27,12:32:00,3830.00,3830.00,3830.00,3830.00,247,0\r\n2006-02-27,12:33:00,3830.00,3830.00,3829.00,3829.00,62,0\r\n2006-02-27,12:34:00,3829.00,3829.00,3829.00,3829.00,55,0\r\n2006-02-27,12:35:00,3829.00,3830.00,3828.00,3830.00,460,0\r\n2006-02-27,12:36:00,3829.00,3830.00,3829.00,3830.00,319,0\r\n2006-02-27,12:37:00,3830.00,3831.00,3830.00,3830.00,13,0\r\n2006-02-27,12:38:00,3830.00,3830.00,3829.00,3829.00,300,0\r\n2006-02-27,12:39:00,3830.00,3830.00,3829.00,3830.00,102,0\r\n2006-02-27,12:40:00,3830.00,3830.00,3829.00,3830.00,96,0\r\n2006-02-27,12:41:00,3830.00,3830.00,3828.00,3828.00,1302,0\r\n2006-02-27,12:42:00,3828.00,3829.00,3828.00,3829.00,788,0\r\n2006-02-27,12:43:00,3829.00,3829.00,3828.00,3829.00,262,0\r\n2006-02-27,12:44:00,3829.00,3829.00,3828.00,3829.00,62,0\r\n2006-02-27,12:45:00,3828.00,3829.00,3828.00,3829.00,125,0\r\n2006-02-27,12:46:00,3828.00,3828.00,3828.00,3828.00,2,0\r\n2006-02-27,12:47:00,3828.00,3829.00,3826.00,3826.00,2391,0\r\n2006-02-27,12:48:00,3827.00,3827.00,3825.00,3826.00,776,0\r\n2006-02-27,12:49:00,3827.00,3827.00,3824.00,3825.00,2234,0\r\n2006-02-27,12:50:00,3824.00,3825.00,3823.00,3825.00,1910,0\r\n2006-02-27,12:51:00,3825.00,3826.00,3825.00,3825.00,474,0\r\n2006-02-27,12:52:00,3825.00,3826.00,3824.00,3825.00,485,0\r\n2006-02-27,12:53:00,3825.00,3826.00,3825.00,3825.00,253,0\r\n2006-02-27,12:54:00,3826.00,3827.00,3825.00,3827.00,439,0\r\n2006-02-27,12:55:00,3827.00,3827.00,3827.00,3827.00,276,0\r\n2006-02-27,12:56:00,3826.00,3827.00,3826.00,3826.00,49,0\r\n2006-02-27,12:57:00,3826.00,3826.00,3824.00,3824.00,1142,0\r\n2006-02-27,12:58:00,3824.00,3825.00,3824.00,3825.00,265,0\r\n2006-02-27,12:59:00,3825.00,3825.00,3825.00,3825.00,154,0\r\n2006-02-27,13:00:00,3826.00,3826.00,3826.00,3826.00,1,0\r\n2006-02-27,13:01:00,3825.00,3826.00,3824.00,3824.00,314,0\r\n2006-02-27,13:02:00,3825.00,3825.00,3824.00,3825.00,89,0\r\n2006-02-27,13:03:00,3824.00,3824.00,3824.00,3824.00,415,0\r\n2006-02-27,13:04:00,3824.00,3825.00,3824.00,3824.00,227,0\r\n2006-02-27,13:05:00,3824.00,3826.00,3824.00,3826.00,1044,0\r\n2006-02-27,13:06:00,3826.00,3826.00,3825.00,3826.00,75,0\r\n2006-02-27,13:07:00,3826.00,3827.00,3826.00,3826.00,471,0\r\n2006-02-27,13:08:00,3826.00,3827.00,3825.00,3825.00,290,0\r\n2006-02-27,13:09:00,3826.00,3826.00,3825.00,3826.00,48,0\r\n2006-02-27,13:10:00,3825.00,3826.00,3825.00,3826.00,3,0\r\n2006-02-27,13:11:00,3826.00,3827.00,3825.00,3826.00,151,0\r\n2006-02-27,13:12:00,3826.00,3827.00,3825.00,3825.00,71,0\r\n2006-02-27,13:13:00,3826.00,3826.00,3825.00,3825.00,144,0\r\n2006-02-27,13:14:00,3825.00,3827.00,3825.00,3827.00,429,0\r\n2006-02-27,13:15:00,3826.00,3826.00,3825.00,3825.00,101,0\r\n2006-02-27,13:16:00,3826.00,3826.00,3825.00,3826.00,354,0\r\n2006-02-27,13:17:00,3826.00,3826.00,3826.00,3826.00,103,0\r\n2006-02-27,13:18:00,3826.00,3826.00,3826.00,3826.00,1,0\r\n2006-02-27,13:20:00,3826.00,3826.00,3825.00,3825.00,11,0\r\n2006-02-27,13:21:00,3826.00,3826.00,3826.00,3826.00,1,0\r\n2006-02-27,13:22:00,3826.00,3826.00,3826.00,3826.00,1,0\r\n2006-02-27,13:23:00,3826.00,3826.00,3825.00,3825.00,14,0\r\n2006-02-27,13:24:00,3826.00,3826.00,3826.00,3826.00,102,0\r\n2006-02-27,13:26:00,3825.00,3825.00,3825.00,3825.00,13,0\r\n2006-02-27,13:27:00,3825.00,3826.00,3825.00,3825.00,568,0\r\n2006-02-27,13:29:00,3825.00,3825.00,3825.00,3825.00,29,0\r\n2006-02-27,13:31:00,3826.00,3828.00,3825.00,3827.00,1048,0\r\n2006-02-27,13:32:00,3828.00,3828.00,3827.00,3828.00,878,0\r\n2006-02-27,13:33:00,3828.00,3828.00,3827.00,3827.00,29,0\r\n2006-02-27,13:34:00,3828.00,3828.00,3828.00,3828.00,87,0\r\n2006-02-27,13:35:00,3828.00,3828.00,3828.00,3828.00,63,0\r\n2006-02-27,13:36:00,3827.00,3828.00,3827.00,3827.00,8,0\r\n2006-02-27,13:37:00,3827.00,3827.00,3827.00,3827.00,52,0\r\n2006-02-27,13:38:00,3828.00,3828.00,3827.00,3827.00,6,0\r\n2006-02-27,13:39:00,3828.00,3828.00,3828.00,3828.00,169,0\r\n2006-02-27,13:40:00,3828.00,3828.00,3828.00,3828.00,330,0\r\n2006-02-27,13:41:00,3828.00,3829.00,3828.00,3828.00,271,0\r\n2006-02-27,13:42:00,3829.00,3829.00,3829.00,3829.00,21,0\r\n2006-02-27,13:43:00,3829.00,3829.00,3829.00,3829.00,4,0\r\n2006-02-27,13:44:00,3829.00,3829.00,3829.00,3829.00,8,0\r\n2006-02-27,13:45:00,3828.00,3828.00,3827.00,3827.00,300,0\r\n2006-02-27,13:46:00,3827.00,3827.00,3827.00,3827.00,1,0\r\n2006-02-27,13:48:00,3827.00,3827.00,3827.00,3827.00,8,0\r\n2006-02-27,13:49:00,3827.00,3827.00,3827.00,3827.00,33,0\r\n2006-02-27,13:50:00,3827.00,3827.00,3827.00,3827.00,1,0\r\n2006-02-27,13:51:00,3828.00,3828.00,3828.00,3828.00,2,0\r\n2006-02-27,13:52:00,3828.00,3828.00,3828.00,3828.00,100,0\r\n2006-02-27,13:54:00,3828.00,3828.00,3828.00,3828.00,4,0\r\n2006-02-27,13:55:00,3828.00,3828.00,3827.00,3827.00,11,0\r\n2006-02-27,13:56:00,3828.00,3828.00,3828.00,3828.00,2,0\r\n2006-02-27,13:58:00,3828.00,3828.00,3828.00,3828.00,1,0\r\n2006-02-27,13:59:00,3828.00,3828.00,3828.00,3828.00,60,0\r\n2006-02-27,14:00:00,3827.00,3827.00,3827.00,3827.00,129,0\r\n2006-02-27,14:01:00,3828.00,3829.00,3827.00,3828.00,357,0\r\n2006-02-27,14:02:00,3828.00,3828.00,3827.00,3827.00,2,0\r\n2006-02-27,14:03:00,3828.00,3828.00,3828.00,3828.00,1,0\r\n2006-02-27,14:04:00,3828.00,3828.00,3827.00,3828.00,43,0\r\n2006-02-27,14:05:00,3828.00,3828.00,3827.00,3828.00,106,0\r\n2006-02-27,14:06:00,3828.00,3828.00,3828.00,3828.00,9,0\r\n2006-02-27,14:07:00,3827.00,3828.00,3827.00,3827.00,186,0\r\n2006-02-27,14:08:00,3828.00,3828.00,3828.00,3828.00,320,0\r\n2006-02-27,14:09:00,3828.00,3828.00,3828.00,3828.00,2,0\r\n2006-02-27,14:10:00,3828.00,3828.00,3828.00,3828.00,22,0\r\n2006-02-27,14:11:00,3828.00,3828.00,3827.00,3827.00,91,0\r\n2006-02-27,14:12:00,3827.00,3828.00,3827.00,3827.00,67,0\r\n2006-02-27,14:13:00,3827.00,3827.00,3827.00,3827.00,4,0\r\n2006-02-27,14:14:00,3827.00,3827.00,3827.00,3827.00,13,0\r\n2006-02-27,14:15:00,3827.00,3827.00,3827.00,3827.00,1,0\r\n2006-02-27,14:16:00,3828.00,3828.00,3827.00,3828.00,104,0\r\n2006-02-27,14:17:00,3828.00,3828.00,3828.00,3828.00,30,0\r\n2006-02-27,14:18:00,3828.00,3828.00,3828.00,3828.00,34,0\r\n2006-02-27,14:19:00,3828.00,3828.00,3827.00,3827.00,648,0\r\n2006-02-27,14:21:00,3828.00,3828.00,3828.00,3828.00,466,0\r\n2006-02-27,14:22:00,3827.00,3828.00,3827.00,3828.00,161,0\r\n2006-02-27,14:23:00,3828.00,3828.00,3827.00,3827.00,396,0\r\n2006-02-27,14:24:00,3828.00,3828.00,3828.00,3828.00,14,0\r\n2006-02-27,14:25:00,3828.00,3828.00,3828.00,3828.00,198,0\r\n2006-02-27,14:26:00,3828.00,3830.00,3828.00,3830.00,1274,0\r\n2006-02-27,14:27:00,3830.00,3830.00,3828.00,3829.00,1350,0\r\n2006-02-27,14:28:00,3829.00,3830.00,3829.00,3829.00,233,0\r\n2006-02-27,14:29:00,3829.00,3829.00,3828.00,3828.00,90,0\r\n2006-02-27,14:30:00,3829.00,3829.00,3829.00,3829.00,3,0\r\n2006-02-27,14:31:00,3828.00,3829.00,3828.00,3829.00,12,0\r\n2006-02-27,14:32:00,3829.00,3830.00,3829.00,3830.00,238,0\r\n2006-02-27,14:33:00,3829.00,3830.00,3829.00,3829.00,199,0\r\n2006-02-27,14:34:00,3830.00,3830.00,3830.00,3830.00,5,0\r\n2006-02-27,14:35:00,3830.00,3830.00,3830.00,3830.00,14,0\r\n2006-02-27,14:36:00,3830.00,3831.00,3829.00,3831.00,1321,0\r\n2006-02-27,14:37:00,3831.00,3833.00,3831.00,3832.00,1455,0\r\n2006-02-27,14:38:00,3832.00,3833.00,3831.00,3831.00,642,0\r\n2006-02-27,14:39:00,3831.00,3831.00,3831.00,3831.00,239,0\r\n2006-02-27,14:40:00,3831.00,3831.00,3831.00,3831.00,5,0\r\n2006-02-27,14:41:00,3831.00,3831.00,3831.00,3831.00,67,0\r\n2006-02-27,14:42:00,3830.00,3831.00,3830.00,3830.00,218,0\r\n2006-02-27,14:43:00,3830.00,3831.00,3830.00,3831.00,7,0\r\n2006-02-27,14:44:00,3830.00,3831.00,3830.00,3830.00,53,0\r\n2006-02-27,14:45:00,3831.00,3831.00,3831.00,3831.00,100,0\r\n2006-02-27,14:46:00,3831.00,3832.00,3831.00,3831.00,212,0\r\n2006-02-27,14:47:00,3831.00,3831.00,3830.00,3831.00,37,0\r\n2006-02-27,14:48:00,3831.00,3831.00,3831.00,3831.00,3,0\r\n2006-02-27,14:49:00,3831.00,3831.00,3831.00,3831.00,311,0\r\n2006-02-27,14:50:00,3831.00,3831.00,3831.00,3831.00,77,0\r\n2006-02-27,14:51:00,3831.00,3832.00,3831.00,3832.00,59,0\r\n2006-02-27,14:52:00,3831.00,3832.00,3831.00,3832.00,7,0\r\n2006-02-27,14:53:00,3831.00,3832.00,3831.00,3832.00,6,0\r\n2006-02-27,14:54:00,3832.00,3832.00,3832.00,3832.00,6,0\r\n2006-02-27,14:55:00,3832.00,3832.00,3831.00,3832.00,139,0\r\n2006-02-27,14:56:00,3832.00,3833.00,3832.00,3832.00,395,0\r\n2006-02-27,14:57:00,3832.00,3832.00,3831.00,3831.00,302,0\r\n2006-02-27,14:58:00,3831.00,3831.00,3830.00,3831.00,149,0\r\n2006-02-27,14:59:00,3831.00,3831.00,3831.00,3831.00,138,0\r\n2006-02-27,15:00:00,3831.00,3831.00,3831.00,3831.00,5,0\r\n2006-02-27,15:01:00,3831.00,3832.00,3831.00,3831.00,731,0\r\n2006-02-27,15:02:00,3831.00,3831.00,3830.00,3830.00,108,0\r\n2006-02-27,15:03:00,3831.00,3832.00,3831.00,3832.00,152,0\r\n2006-02-27,15:04:00,3831.00,3831.00,3831.00,3831.00,272,0\r\n2006-02-27,15:05:00,3830.00,3830.00,3830.00,3830.00,92,0\r\n2006-02-27,15:06:00,3830.00,3831.00,3830.00,3831.00,126,0\r\n2006-02-27,15:07:00,3831.00,3831.00,3830.00,3830.00,84,0\r\n2006-02-27,15:08:00,3830.00,3830.00,3830.00,3830.00,430,0\r\n2006-02-27,15:09:00,3830.00,3830.00,3830.00,3830.00,9,0\r\n2006-02-27,15:10:00,3830.00,3830.00,3829.00,3829.00,109,0\r\n2006-02-27,15:11:00,3829.00,3830.00,3829.00,3830.00,55,0\r\n2006-02-27,15:12:00,3830.00,3830.00,3830.00,3830.00,6,0\r\n2006-02-27,15:13:00,3830.00,3830.00,3829.00,3830.00,103,0\r\n2006-02-27,15:14:00,3829.00,3831.00,3829.00,3831.00,138,0\r\n2006-02-27,15:15:00,3831.00,3831.00,3830.00,3831.00,33,0\r\n2006-02-27,15:16:00,3830.00,3831.00,3830.00,3830.00,17,0\r\n2006-02-27,15:17:00,3830.00,3831.00,3830.00,3831.00,2,0\r\n2006-02-27,15:18:00,3831.00,3832.00,3831.00,3831.00,177,0\r\n2006-02-27,15:19:00,3831.00,3832.00,3831.00,3831.00,76,0\r\n2006-02-27,15:20:00,3831.00,3832.00,3831.00,3832.00,48,0\r\n2006-02-27,15:21:00,3831.00,3832.00,3831.00,3832.00,77,0\r\n2006-02-27,15:22:00,3832.00,3832.00,3832.00,3832.00,1,0\r\n2006-02-27,15:23:00,3831.00,3832.00,3831.00,3832.00,23,0\r\n2006-02-27,15:24:00,3831.00,3832.00,3831.00,3832.00,12,0\r\n2006-02-27,15:25:00,3832.00,3832.00,3832.00,3832.00,44,0\r\n2006-02-27,15:26:00,3832.00,3832.00,3831.00,3831.00,224,0\r\n2006-02-27,15:27:00,3831.00,3831.00,3831.00,3831.00,147,0\r\n2006-02-27,15:28:00,3831.00,3831.00,3831.00,3831.00,56,0\r\n2006-02-27,15:30:00,3830.00,3831.00,3830.00,3831.00,157,0\r\n2006-02-27,15:31:00,3831.00,3832.00,3830.00,3831.00,149,0\r\n2006-02-27,15:32:00,3831.00,3831.00,3830.00,3830.00,33,0\r\n2006-02-27,15:33:00,3830.00,3830.00,3829.00,3830.00,956,0\r\n2006-02-27,15:34:00,3829.00,3830.00,3828.00,3829.00,821,0\r\n2006-02-27,15:35:00,3829.00,3830.00,3829.00,3830.00,516,0\r\n2006-02-27,15:36:00,3831.00,3832.00,3831.00,3831.00,876,0\r\n2006-02-27,15:37:00,3832.00,3833.00,3832.00,3833.00,308,0\r\n2006-02-27,15:38:00,3832.00,3834.00,3832.00,3832.00,1369,0\r\n2006-02-27,15:39:00,3832.00,3833.00,3831.00,3831.00,693,0\r\n2006-02-27,15:40:00,3831.00,3832.00,3831.00,3832.00,594,0\r\n2006-02-27,15:41:00,3831.00,3831.00,3830.00,3831.00,891,0\r\n2006-02-27,15:42:00,3831.00,3833.00,3831.00,3832.00,621,0\r\n2006-02-27,15:43:00,3833.00,3835.00,3833.00,3833.00,2212,0\r\n2006-02-27,15:44:00,3834.00,3834.00,3832.00,3833.00,646,0\r\n2006-02-27,15:45:00,3834.00,3835.00,3833.00,3835.00,494,0\r\n2006-02-27,15:46:00,3835.00,3836.00,3834.00,3834.00,1745,0\r\n2006-02-27,15:47:00,3835.00,3835.00,3832.00,3832.00,1284,0\r\n2006-02-27,15:48:00,3832.00,3834.00,3832.00,3833.00,1445,0\r\n2006-02-27,15:49:00,3834.00,3834.00,3832.00,3833.00,886,0\r\n2006-02-27,15:50:00,3833.00,3834.00,3833.00,3833.00,431,0\r\n2006-02-27,15:51:00,3833.00,3833.00,3832.00,3832.00,187,0\r\n2006-02-27,15:52:00,3833.00,3833.00,3832.00,3833.00,353,0\r\n2006-02-27,15:53:00,3833.00,3834.00,3833.00,3834.00,1014,0\r\n2006-02-27,15:54:00,3833.00,3834.00,3831.00,3832.00,286,0\r\n2006-02-27,15:55:00,3832.00,3833.00,3832.00,3833.00,845,0\r\n2006-02-27,15:56:00,3833.00,3833.00,3832.00,3833.00,359,0\r\n2006-02-27,15:57:00,3833.00,3833.00,3832.00,3832.00,338,0\r\n2006-02-27,15:58:00,3832.00,3833.00,3832.00,3832.00,45,0\r\n2006-02-27,15:59:00,3833.00,3834.00,3833.00,3834.00,1212,0\r\n2006-02-27,16:00:00,3834.00,3834.00,3832.00,3833.00,432,0\r\n2006-02-27,16:01:00,3833.00,3836.00,3832.00,3835.00,2664,0\r\n2006-02-27,16:02:00,3836.00,3836.00,3833.00,3835.00,1384,0\r\n2006-02-27,16:03:00,3835.00,3835.00,3833.00,3834.00,1062,0\r\n2006-02-27,16:04:00,3835.00,3836.00,3834.00,3834.00,870,0\r\n2006-02-27,16:05:00,3835.00,3837.00,3835.00,3836.00,2762,0\r\n2006-02-27,16:06:00,3836.00,3836.00,3834.00,3834.00,1257,0\r\n2006-02-27,16:07:00,3834.00,3835.00,3833.00,3834.00,1134,0\r\n2006-02-27,16:08:00,3834.00,3834.00,3832.00,3833.00,666,0\r\n2006-02-27,16:09:00,3833.00,3833.00,3832.00,3833.00,497,0\r\n2006-02-27,16:10:00,3833.00,3833.00,3831.00,3832.00,663,0\r\n2006-02-27,16:11:00,3832.00,3834.00,3832.00,3832.00,999,0\r\n2006-02-27,16:12:00,3833.00,3833.00,3831.00,3831.00,1515,0\r\n2006-02-27,16:13:00,3831.00,3833.00,3831.00,3832.00,1044,0\r\n2006-02-27,16:14:00,3833.00,3833.00,3832.00,3833.00,487,0\r\n2006-02-27,16:15:00,3833.00,3833.00,3832.00,3832.00,412,0\r\n2006-02-27,16:16:00,3833.00,3834.00,3831.00,3831.00,497,0\r\n2006-02-27,16:17:00,3831.00,3832.00,3830.00,3831.00,2496,0\r\n2006-02-27,16:18:00,3831.00,3832.00,3830.00,3832.00,296,0\r\n2006-02-27,16:19:00,3831.00,3833.00,3831.00,3832.00,972,0\r\n2006-02-27,16:20:00,3831.00,3831.00,3830.00,3830.00,1211,0\r\n2006-02-27,16:21:00,3830.00,3831.00,3829.00,3830.00,1266,0\r\n2006-02-27,16:22:00,3831.00,3831.00,3830.00,3831.00,1382,0\r\n2006-02-27,16:23:00,3831.00,3833.00,3831.00,3832.00,864,0\r\n2006-02-27,16:24:00,3831.00,3832.00,3831.00,3831.00,256,0\r\n2006-02-27,16:25:00,3832.00,3834.00,3832.00,3834.00,1020,0\r\n2006-02-27,16:26:00,3833.00,3834.00,3832.00,3833.00,619,0\r\n2006-02-27,16:27:00,3832.00,3832.00,3831.00,3831.00,395,0\r\n2006-02-27,16:28:00,3832.00,3832.00,3831.00,3832.00,463,0\r\n2006-02-27,16:29:00,3832.00,3833.00,3832.00,3832.00,192,0\r\n2006-02-27,16:30:00,3832.00,3832.00,3832.00,3832.00,309,0\r\n2006-02-27,16:31:00,3832.00,3836.00,3832.00,3835.00,1757,0\r\n2006-02-27,16:32:00,3835.00,3836.00,3834.00,3834.00,1275,0\r\n2006-02-27,16:33:00,3835.00,3835.00,3834.00,3834.00,118,0\r\n2006-02-27,16:34:00,3834.00,3834.00,3833.00,3833.00,1151,0\r\n2006-02-27,16:35:00,3833.00,3836.00,3833.00,3835.00,871,0\r\n2006-02-27,16:36:00,3834.00,3835.00,3834.00,3834.00,126,0\r\n2006-02-27,16:37:00,3834.00,3834.00,3833.00,3834.00,682,0\r\n2006-02-27,16:38:00,3834.00,3834.00,3833.00,3833.00,177,0\r\n2006-02-27,16:39:00,3833.00,3835.00,3833.00,3833.00,1133,0\r\n2006-02-27,16:40:00,3834.00,3834.00,3833.00,3834.00,550,0\r\n2006-02-27,16:41:00,3834.00,3834.00,3833.00,3833.00,123,0\r\n2006-02-27,16:42:00,3833.00,3834.00,3833.00,3834.00,370,0\r\n2006-02-27,16:43:00,3834.00,3834.00,3832.00,3833.00,704,0\r\n2006-02-27,16:44:00,3833.00,3834.00,3833.00,3833.00,258,0\r\n2006-02-27,16:45:00,3834.00,3836.00,3834.00,3835.00,984,0\r\n2006-02-27,16:46:00,3835.00,3835.00,3833.00,3835.00,1060,0\r\n2006-02-27,16:47:00,3835.00,3835.00,3834.00,3835.00,482,0\r\n2006-02-27,16:48:00,3834.00,3834.00,3834.00,3834.00,18,0\r\n2006-02-27,16:49:00,3835.00,3836.00,3834.00,3834.00,407,0\r\n2006-02-27,16:50:00,3835.00,3835.00,3834.00,3835.00,52,0\r\n2006-02-27,16:51:00,3834.00,3835.00,3833.00,3833.00,1019,0\r\n2006-02-27,16:52:00,3833.00,3834.00,3833.00,3834.00,703,0\r\n2006-02-27,16:53:00,3834.00,3835.00,3834.00,3834.00,113,0\r\n2006-02-27,16:54:00,3834.00,3834.00,3832.00,3832.00,829,0\r\n2006-02-27,16:55:00,3832.00,3833.00,3831.00,3833.00,1353,0\r\n2006-02-27,16:56:00,3833.00,3833.00,3832.00,3833.00,193,0\r\n2006-02-27,16:57:00,3833.00,3833.00,3832.00,3833.00,348,0\r\n2006-02-27,16:58:00,3833.00,3833.00,3830.00,3831.00,2286,0\r\n2006-02-27,16:59:00,3831.00,3831.00,3830.00,3831.00,735,0\r\n2006-02-27,17:00:00,3832.00,3832.00,3831.00,3831.00,765,0\r\n2006-02-27,17:01:00,3831.00,3833.00,3831.00,3832.00,353,0\r\n2006-02-27,17:02:00,3833.00,3834.00,3833.00,3833.00,787,0\r\n2006-02-27,17:03:00,3833.00,3834.00,3833.00,3833.00,170,0\r\n2006-02-27,17:04:00,3833.00,3835.00,3832.00,3834.00,1237,0\r\n2006-02-27,17:05:00,3835.00,3835.00,3833.00,3834.00,754,0\r\n2006-02-27,17:06:00,3834.00,3834.00,3833.00,3833.00,178,0\r\n2006-02-27,17:07:00,3834.00,3835.00,3833.00,3834.00,878,0\r\n2006-02-27,17:08:00,3834.00,3834.00,3833.00,3834.00,426,0\r\n2006-02-27,17:09:00,3835.00,3835.00,3835.00,3835.00,721,0\r\n2006-02-27,17:10:00,3835.00,3836.00,3835.00,3835.00,687,0\r\n2006-02-27,17:11:00,3836.00,3836.00,3835.00,3835.00,368,0\r\n2006-02-27,17:12:00,3835.00,3840.00,3835.00,3840.00,3721,0\r\n2006-02-27,17:13:00,3840.00,3841.00,3839.00,3841.00,2897,0\r\n2006-02-27,17:14:00,3841.00,3841.00,3840.00,3840.00,1844,0\r\n2006-02-27,17:15:00,3841.00,3843.00,3840.00,3842.00,1738,0\r\n2006-02-27,17:16:00,3842.00,3842.00,3841.00,3841.00,1616,0\r\n2006-02-27,17:17:00,3840.00,3841.00,3840.00,3840.00,862,0\r\n2006-02-27,17:18:00,3840.00,3841.00,3840.00,3841.00,567,0\r\n2006-02-27,17:19:00,3841.00,3843.00,3841.00,3843.00,2100,0\r\n2006-02-27,17:20:00,3843.00,3844.00,3842.00,3843.00,1765,0\r\n2006-02-27,17:21:00,3843.00,3844.00,3842.00,3843.00,2865,0\r\n2006-02-27,17:22:00,3843.00,3843.00,3841.00,3841.00,828,0\r\n2006-02-27,17:23:00,3841.00,3844.00,3841.00,3843.00,1957,0\r\n2006-02-27,17:24:00,3842.00,3844.00,3842.00,3843.00,1070,0\r\n2006-02-27,17:25:00,3843.00,3843.00,3842.00,3843.00,505,0\r\n2006-02-27,17:26:00,3843.00,3845.00,3843.00,3844.00,2139,0\r\n2006-02-27,17:27:00,3844.00,3847.00,3844.00,3846.00,4956,0\r\n2006-02-27,17:28:00,3845.00,3848.00,3845.00,3847.00,3623,0\r\n2006-02-27,17:29:00,3847.00,3847.00,3845.00,3846.00,2813,0\r\n2006-02-27,17:30:00,3846.00,3848.00,3846.00,3847.00,6039,0\r\n2006-02-27,17:31:00,3847.00,3849.00,3847.00,3847.00,3352,0\r\n2006-02-27,17:32:00,3847.00,3848.00,3847.00,3847.00,2886,0\r\n2006-02-27,17:33:00,3847.00,3848.00,3847.00,3847.00,1100,0\r\n2006-02-27,17:34:00,3848.00,3848.00,3846.00,3847.00,1355,0\r\n2006-02-27,17:35:00,3847.00,3848.00,3846.00,3847.00,1740,0\r\n2006-02-27,17:36:00,3847.00,3848.00,3846.00,3848.00,1420,0\r\n2006-02-27,17:37:00,3848.00,3849.00,3847.00,3848.00,739,0\r\n2006-02-27,17:38:00,3848.00,3849.00,3847.00,3848.00,516,0\r\n2006-02-27,17:39:00,3848.00,3848.00,3845.00,3846.00,1814,0\r\n2006-02-27,17:40:00,3846.00,3847.00,3845.00,3845.00,861,0\r\n2006-02-27,17:41:00,3845.00,3846.00,3844.00,3846.00,704,0\r\n2006-02-27,17:42:00,3845.00,3846.00,3845.00,3846.00,937,0\r\n2006-02-27,17:43:00,3846.00,3846.00,3845.00,3846.00,230,0\r\n2006-02-27,17:44:00,3846.00,3846.00,3845.00,3846.00,125,0\r\n2006-02-27,17:45:00,3846.00,3846.00,3845.00,3846.00,583,0\r\n2006-02-27,17:46:00,3847.00,3847.00,3846.00,3846.00,604,0\r\n2006-02-27,17:47:00,3846.00,3847.00,3845.00,3845.00,278,0\r\n2006-02-27,17:48:00,3846.00,3846.00,3845.00,3846.00,27,0\r\n2006-02-27,17:49:00,3845.00,3846.00,3843.00,3843.00,1637,0\r\n2006-02-27,17:50:00,3844.00,3844.00,3843.00,3843.00,534,0\r\n2006-02-27,17:51:00,3842.00,3844.00,3842.00,3844.00,1133,0\r\n2006-02-27,17:52:00,3843.00,3845.00,3843.00,3844.00,315,0\r\n2006-02-27,17:53:00,3844.00,3845.00,3844.00,3844.00,343,0\r\n2006-02-27,17:54:00,3844.00,3845.00,3844.00,3845.00,270,0\r\n2006-02-27,17:55:00,3844.00,3846.00,3844.00,3845.00,705,0\r\n2006-02-27,17:56:00,3845.00,3846.00,3845.00,3845.00,78,0\r\n2006-02-27,17:57:00,3845.00,3846.00,3845.00,3846.00,214,0\r\n2006-02-27,17:58:00,3845.00,3845.00,3845.00,3845.00,20,0\r\n2006-02-27,17:59:00,3846.00,3846.00,3845.00,3846.00,201,0\r\n2006-02-27,18:00:00,3846.00,3847.00,3846.00,3846.00,238,0\r\n2006-02-27,18:01:00,3846.00,3846.00,3845.00,3846.00,238,0\r\n2006-02-27,18:02:00,3846.00,3847.00,3846.00,3846.00,22,0\r\n2006-02-27,18:03:00,3846.00,3847.00,3846.00,3847.00,522,0\r\n2006-02-27,18:04:00,3848.00,3848.00,3848.00,3848.00,287,0\r\n2006-02-27,18:05:00,3847.00,3847.00,3847.00,3847.00,153,0\r\n2006-02-27,18:06:00,3848.00,3849.00,3847.00,3847.00,657,0\r\n2006-02-27,18:07:00,3847.00,3848.00,3847.00,3848.00,657,0\r\n2006-02-27,18:08:00,3847.00,3848.00,3847.00,3848.00,2,0\r\n2006-02-27,18:09:00,3847.00,3847.00,3847.00,3847.00,29,0\r\n2006-02-27,18:10:00,3847.00,3847.00,3846.00,3847.00,91,0\r\n2006-02-27,18:11:00,3847.00,3847.00,3846.00,3847.00,263,0\r\n2006-02-27,18:12:00,3847.00,3847.00,3846.00,3846.00,13,0\r\n2006-02-27,18:13:00,3846.00,3846.00,3845.00,3846.00,526,0\r\n2006-02-27,18:14:00,3846.00,3846.00,3845.00,3845.00,79,0\r\n2006-02-27,18:15:00,3846.00,3846.00,3845.00,3845.00,155,0\r\n2006-02-27,18:16:00,3845.00,3845.00,3845.00,3845.00,99,0\r\n2006-02-27,18:17:00,3845.00,3846.00,3845.00,3845.00,95,0\r\n2006-02-27,18:18:00,3845.00,3847.00,3845.00,3846.00,186,0\r\n2006-02-27,18:19:00,3846.00,3846.00,3846.00,3846.00,46,0\r\n2006-02-27,18:20:00,3846.00,3847.00,3846.00,3846.00,101,0\r\n2006-02-27,18:21:00,3846.00,3846.00,3846.00,3846.00,24,0\r\n2006-02-27,18:22:00,3846.00,3846.00,3846.00,3846.00,2,0\r\n2006-02-27,18:23:00,3846.00,3846.00,3846.00,3846.00,6,0\r\n2006-02-27,18:24:00,3846.00,3846.00,3845.00,3846.00,20,0\r\n2006-02-27,18:25:00,3846.00,3847.00,3846.00,3846.00,73,0\r\n2006-02-27,18:26:00,3847.00,3847.00,3846.00,3847.00,338,0\r\n2006-02-27,18:27:00,3848.00,3848.00,3848.00,3848.00,181,0\r\n2006-02-27,18:28:00,3847.00,3847.00,3847.00,3847.00,205,0\r\n2006-02-27,18:29:00,3846.00,3847.00,3846.00,3846.00,61,0\r\n2006-02-27,18:30:00,3846.00,3846.00,3846.00,3846.00,12,0\r\n2006-02-27,18:31:00,3846.00,3846.00,3846.00,3846.00,1,0\r\n2006-02-27,18:32:00,3846.00,3846.00,3845.00,3845.00,507,0\r\n2006-02-27,18:33:00,3846.00,3846.00,3846.00,3846.00,2,0\r\n2006-02-27,18:34:00,3845.00,3845.00,3845.00,3845.00,154,0\r\n2006-02-27,18:35:00,3845.00,3845.00,3845.00,3845.00,470,0\r\n2006-02-27,18:36:00,3844.00,3845.00,3844.00,3845.00,486,0\r\n2006-02-27,18:37:00,3845.00,3845.00,3844.00,3845.00,223,0\r\n2006-02-27,18:38:00,3845.00,3845.00,3845.00,3845.00,10,0\r\n2006-02-27,18:40:00,3845.00,3845.00,3844.00,3844.00,174,0\r\n2006-02-27,18:41:00,3845.00,3845.00,3843.00,3844.00,182,0\r\n2006-02-27,18:42:00,3844.00,3844.00,3844.00,3844.00,85,0\r\n2006-02-27,18:43:00,3844.00,3844.00,3844.00,3844.00,78,0\r\n2006-02-27,18:44:00,3844.00,3844.00,3842.00,3843.00,434,0\r\n2006-02-27,18:45:00,3843.00,3843.00,3843.00,3843.00,176,0\r\n2006-02-27,18:46:00,3842.00,3842.00,3841.00,3842.00,219,0\r\n2006-02-27,18:47:00,3842.00,3843.00,3842.00,3843.00,62,0\r\n2006-02-27,18:48:00,3842.00,3842.00,3842.00,3842.00,2,0\r\n2006-02-27,18:49:00,3842.00,3842.00,3841.00,3842.00,312,0\r\n2006-02-27,18:50:00,3843.00,3843.00,3842.00,3842.00,2,0\r\n2006-02-27,18:51:00,3843.00,3843.00,3843.00,3843.00,126,0\r\n2006-02-27,18:52:00,3843.00,3843.00,3842.00,3843.00,224,0\r\n2006-02-27,18:53:00,3843.00,3844.00,3843.00,3844.00,7,0\r\n2006-02-27,18:54:00,3844.00,3844.00,3843.00,3844.00,21,0\r\n2006-02-27,18:55:00,3843.00,3843.00,3843.00,3843.00,2,0\r\n2006-02-27,18:56:00,3843.00,3844.00,3843.00,3843.00,207,0\r\n2006-02-27,18:57:00,3843.00,3843.00,3843.00,3843.00,135,0\r\n2006-02-27,18:58:00,3843.00,3843.00,3843.00,3843.00,2,0\r\n2006-02-27,18:59:00,3843.00,3844.00,3843.00,3844.00,2,0\r\n2006-02-27,19:00:00,3843.00,3843.00,3843.00,3843.00,43,0\r\n2006-02-27,19:01:00,3844.00,3844.00,3843.00,3843.00,128,0\r\n2006-02-27,19:02:00,3843.00,3843.00,3843.00,3843.00,1,0\r\n2006-02-27,19:03:00,3844.00,3845.00,3844.00,3844.00,387,0\r\n2006-02-27,19:05:00,3844.00,3845.00,3844.00,3844.00,61,0\r\n2006-02-27,19:06:00,3843.00,3844.00,3843.00,3844.00,12,0\r\n2006-02-27,19:07:00,3844.00,3845.00,3844.00,3845.00,96,0\r\n2006-02-27,19:08:00,3844.00,3844.00,3844.00,3844.00,10,0\r\n2006-02-27,19:09:00,3844.00,3844.00,3843.00,3844.00,15,0\r\n2006-02-27,19:10:00,3843.00,3844.00,3843.00,3844.00,13,0\r\n2006-02-27,19:11:00,3844.00,3844.00,3844.00,3844.00,304,0\r\n2006-02-27,19:12:00,3843.00,3843.00,3843.00,3843.00,39,0\r\n2006-02-27,19:13:00,3843.00,3843.00,3843.00,3843.00,51,0\r\n2006-02-27,19:14:00,3844.00,3844.00,3844.00,3844.00,227,0\r\n2006-02-27,19:15:00,3844.00,3844.00,3844.00,3844.00,51,0\r\n2006-02-27,19:16:00,3844.00,3844.00,3843.00,3844.00,3,0\r\n2006-02-27,19:17:00,3843.00,3844.00,3843.00,3844.00,263,0\r\n2006-02-27,19:18:00,3844.00,3844.00,3844.00,3844.00,2,0\r\n2006-02-27,19:19:00,3843.00,3844.00,3842.00,3844.00,94,0\r\n2006-02-27,19:21:00,3843.00,3843.00,3842.00,3843.00,114,0\r\n2006-02-27,19:22:00,3842.00,3842.00,3842.00,3842.00,16,0\r\n2006-02-27,19:23:00,3842.00,3842.00,3842.00,3842.00,80,0\r\n2006-02-27,19:24:00,3842.00,3842.00,3840.00,3841.00,748,0\r\n2006-02-27,19:25:00,3841.00,3841.00,3841.00,3841.00,51,0\r\n2006-02-27,19:26:00,3841.00,3841.00,3840.00,3841.00,305,0\r\n2006-02-27,19:27:00,3841.00,3842.00,3841.00,3841.00,310,0\r\n2006-02-27,19:28:00,3842.00,3842.00,3842.00,3842.00,135,0\r\n2006-02-27,19:29:00,3842.00,3842.00,3842.00,3842.00,5,0\r\n2006-02-27,19:30:00,3842.00,3842.00,3841.00,3841.00,359,0\r\n2006-02-27,19:31:00,3842.00,3842.00,3842.00,3842.00,17,0\r\n2006-02-27,19:32:00,3841.00,3841.00,3841.00,3841.00,10,0\r\n2006-02-27,19:33:00,3842.00,3842.00,3842.00,3842.00,6,0\r\n2006-02-27,19:34:00,3842.00,3842.00,3842.00,3842.00,502,0\r\n2006-02-27,19:35:00,3842.00,3842.00,3842.00,3842.00,96,0\r\n2006-02-27,19:36:00,3843.00,3843.00,3842.00,3842.00,89,0\r\n2006-02-27,19:37:00,3842.00,3842.00,3842.00,3842.00,33,0\r\n2006-02-27,19:38:00,3842.00,3842.00,3842.00,3842.00,39,0\r\n2006-02-27,19:39:00,3842.00,3842.00,3842.00,3842.00,31,0\r\n2006-02-27,19:40:00,3842.00,3842.00,3842.00,3842.00,59,0\r\n2006-02-27,19:41:00,3842.00,3842.00,3841.00,3842.00,163,0\r\n2006-02-27,19:42:00,3842.00,3842.00,3841.00,3841.00,143,0\r\n2006-02-27,19:43:00,3842.00,3842.00,3842.00,3842.00,1,0\r\n2006-02-27,19:45:00,3841.00,3842.00,3841.00,3842.00,45,0\r\n2006-02-27,19:46:00,3841.00,3841.00,3841.00,3841.00,32,0\r\n2006-02-27,19:48:00,3841.00,3843.00,3841.00,3843.00,57,0\r\n2006-02-27,19:49:00,3843.00,3843.00,3843.00,3843.00,2,0\r\n2006-02-27,19:50:00,3843.00,3843.00,3843.00,3843.00,6,0\r\n2006-02-27,19:52:00,3843.00,3843.00,3843.00,3843.00,225,0\r\n2006-02-27,19:53:00,3843.00,3844.00,3843.00,3844.00,39,0\r\n2006-02-27,19:54:00,3844.00,3845.00,3844.00,3845.00,61,0\r\n2006-02-27,19:55:00,3845.00,3845.00,3845.00,3845.00,131,0\r\n2006-02-27,19:56:00,3845.00,3845.00,3844.00,3844.00,25,0\r\n2006-02-27,19:57:00,3844.00,3844.00,3843.00,3843.00,122,0\r\n2006-02-27,19:58:00,3844.00,3844.00,3844.00,3844.00,8,0\r\n2006-02-27,19:59:00,3844.00,3844.00,3844.00,3844.00,4,0\r\n2006-02-27,20:00:00,3844.00,3844.00,3844.00,3844.00,10,0\r\n2006-02-27,20:01:00,3844.00,3845.00,3844.00,3845.00,259,0\r\n2006-02-27,20:02:00,3845.00,3846.00,3845.00,3845.00,129,0\r\n2006-02-27,20:03:00,3844.00,3844.00,3844.00,3844.00,57,0\r\n2006-02-27,20:05:00,3844.00,3844.00,3843.00,3843.00,59,0\r\n2006-02-27,20:06:00,3843.00,3843.00,3843.00,3843.00,113,0\r\n2006-02-27,20:08:00,3843.00,3844.00,3843.00,3843.00,383,0\r\n2006-02-27,20:09:00,3842.00,3842.00,3842.00,3842.00,182,0\r\n2006-02-27,20:10:00,3841.00,3841.00,3840.00,3841.00,272,0\r\n2006-02-27,20:11:00,3841.00,3841.00,3839.00,3840.00,393,0\r\n2006-02-27,20:12:00,3839.00,3839.00,3839.00,3839.00,61,0\r\n2006-02-27,20:13:00,3839.00,3839.00,3839.00,3839.00,1,0\r\n2006-02-27,20:14:00,3840.00,3840.00,3840.00,3840.00,185,0\r\n2006-02-27,20:15:00,3840.00,3840.00,3839.00,3840.00,218,0\r\n2006-02-27,20:16:00,3840.00,3840.00,3840.00,3840.00,1,0\r\n2006-02-27,20:17:00,3840.00,3840.00,3839.00,3840.00,272,0\r\n2006-02-27,20:18:00,3840.00,3840.00,3840.00,3840.00,109,0\r\n2006-02-27,20:19:00,3840.00,3840.00,3840.00,3840.00,166,0\r\n2006-02-27,20:20:00,3840.00,3840.00,3840.00,3840.00,96,0\r\n2006-02-27,20:21:00,3840.00,3841.00,3840.00,3841.00,105,0\r\n2006-02-27,20:22:00,3840.00,3840.00,3840.00,3840.00,165,0\r\n2006-02-27,20:23:00,3840.00,3840.00,3839.00,3839.00,61,0\r\n2006-02-27,20:24:00,3840.00,3840.00,3840.00,3840.00,1,0\r\n2006-02-27,20:25:00,3839.00,3841.00,3839.00,3841.00,132,0\r\n2006-02-27,20:26:00,3840.00,3840.00,3840.00,3840.00,125,0\r\n2006-02-27,20:27:00,3841.00,3841.00,3841.00,3841.00,57,0\r\n2006-02-27,20:30:00,3841.00,3841.00,3841.00,3841.00,45,0\r\n2006-02-27,20:31:00,3842.00,3843.00,3842.00,3843.00,44,0\r\n2006-02-27,20:32:00,3843.00,3843.00,3842.00,3842.00,56,0\r\n2006-02-27,20:33:00,3842.00,3842.00,3842.00,3842.00,27,0\r\n2006-02-27,20:34:00,3842.00,3842.00,3842.00,3842.00,42,0\r\n2006-02-27,20:35:00,3842.00,3842.00,3842.00,3842.00,46,0\r\n2006-02-27,20:36:00,3842.00,3842.00,3842.00,3842.00,10,0\r\n2006-02-27,20:37:00,3842.00,3842.00,3842.00,3842.00,2,0\r\n2006-02-27,20:39:00,3842.00,3842.00,3842.00,3842.00,10,0\r\n2006-02-27,20:40:00,3843.00,3843.00,3842.00,3842.00,38,0\r\n2006-02-27,20:41:00,3841.00,3842.00,3841.00,3842.00,36,0\r\n2006-02-27,20:42:00,3843.00,3843.00,3843.00,3843.00,25,0\r\n2006-02-27,20:44:00,3843.00,3843.00,3842.00,3842.00,11,0\r\n2006-02-27,20:48:00,3843.00,3843.00,3843.00,3843.00,37,0\r\n2006-02-27,20:49:00,3844.00,3844.00,3844.00,3844.00,82,0\r\n2006-02-27,20:50:00,3844.00,3844.00,3843.00,3843.00,38,0\r\n2006-02-27,20:51:00,3843.00,3843.00,3843.00,3843.00,1,0\r\n2006-02-27,20:52:00,3843.00,3843.00,3843.00,3843.00,27,0\r\n2006-02-27,20:53:00,3843.00,3844.00,3842.00,3843.00,35,0\r\n2006-02-27,20:54:00,3842.00,3842.00,3842.00,3842.00,1,0\r\n2006-02-27,20:55:00,3843.00,3843.00,3842.00,3842.00,97,0\r\n2006-02-27,20:56:00,3842.00,3843.00,3842.00,3843.00,2,0\r\n2006-02-27,20:57:00,3842.00,3843.00,3842.00,3843.00,2,0\r\n2006-02-27,20:58:00,3843.00,3843.00,3843.00,3843.00,40,0\r\n2006-02-27,20:59:00,3844.00,3845.00,3843.00,3844.00,77,0\r\n2006-02-27,21:00:00,3844.00,3844.00,3844.00,3844.00,45,0\r\n2006-02-27,21:01:00,3844.00,3844.00,3844.00,3844.00,5,0\r\n2006-02-27,21:02:00,3845.00,3846.00,3845.00,3845.00,137,0\r\n2006-02-27,21:03:00,3845.00,3845.00,3845.00,3845.00,129,0\r\n2006-02-27,21:04:00,3845.00,3845.00,3845.00,3845.00,3,0\r\n2006-02-27,21:05:00,3845.00,3845.00,3845.00,3845.00,5,0\r\n2006-02-27,21:06:00,3845.00,3845.00,3845.00,3845.00,20,0\r\n2006-02-27,21:07:00,3845.00,3845.00,3845.00,3845.00,22,0\r\n2006-02-27,21:08:00,3845.00,3846.00,3845.00,3846.00,88,0\r\n2006-02-27,21:09:00,3846.00,3846.00,3846.00,3846.00,247,0\r\n2006-02-27,21:10:00,3845.00,3845.00,3845.00,3845.00,96,0\r\n2006-02-27,21:11:00,3845.00,3845.00,3845.00,3845.00,1,0\r\n2006-02-27,21:14:00,3844.00,3844.00,3844.00,3844.00,2,0\r\n2006-02-27,21:15:00,3844.00,3844.00,3844.00,3844.00,30,0\r\n2006-02-27,21:16:00,3844.00,3844.00,3844.00,3844.00,1,0\r\n2006-02-27,21:18:00,3844.00,3844.00,3844.00,3844.00,25,0\r\n2006-02-27,21:19:00,3844.00,3844.00,3844.00,3844.00,1,0\r\n2006-02-27,21:20:00,3844.00,3844.00,3844.00,3844.00,11,0\r\n2006-02-27,21:21:00,3845.00,3845.00,3844.00,3844.00,8,0\r\n2006-02-27,21:23:00,3843.00,3844.00,3843.00,3844.00,7,0\r\n2006-02-27,21:24:00,3844.00,3844.00,3844.00,3844.00,2,0\r\n2006-02-27,21:27:00,3844.00,3844.00,3844.00,3844.00,55,0\r\n2006-02-27,21:28:00,3845.00,3845.00,3845.00,3845.00,52,0\r\n2006-02-27,21:29:00,3845.00,3845.00,3844.00,3845.00,12,0\r\n2006-02-27,21:30:00,3844.00,3844.00,3843.00,3844.00,16,0\r\n2006-02-27,21:31:00,3845.00,3845.00,3845.00,3845.00,170,0\r\n2006-02-27,21:32:00,3845.00,3845.00,3845.00,3845.00,50,0\r\n2006-02-27,21:33:00,3845.00,3846.00,3845.00,3845.00,10,0\r\n2006-02-27,21:34:00,3845.00,3845.00,3845.00,3845.00,9,0\r\n2006-02-27,21:35:00,3844.00,3844.00,3843.00,3843.00,33,0\r\n2006-02-27,21:36:00,3843.00,3843.00,3843.00,3843.00,6,0\r\n2006-02-27,21:37:00,3844.00,3844.00,3844.00,3844.00,5,0\r\n2006-02-27,21:39:00,3843.00,3843.00,3842.00,3842.00,62,0\r\n2006-02-27,21:40:00,3842.00,3842.00,3842.00,3842.00,55,0\r\n2006-02-27,21:41:00,3843.00,3843.00,3842.00,3843.00,127,0\r\n2006-02-27,21:42:00,3843.00,3843.00,3843.00,3843.00,30,0\r\n2006-02-27,21:45:00,3843.00,3843.00,3842.00,3842.00,141,0\r\n2006-02-27,21:46:00,3842.00,3842.00,3841.00,3842.00,32,0\r\n2006-02-27,21:47:00,3842.00,3842.00,3841.00,3842.00,25,0\r\n2006-02-27,21:48:00,3842.00,3842.00,3842.00,3842.00,16,0\r\n2006-02-27,21:49:00,3842.00,3842.00,3842.00,3842.00,9,0\r\n2006-02-27,21:51:00,3842.00,3842.00,3842.00,3842.00,32,0\r\n2006-02-27,21:52:00,3842.00,3842.00,3841.00,3841.00,50,0\r\n2006-02-27,21:53:00,3841.00,3841.00,3841.00,3841.00,92,0\r\n2006-02-27,21:54:00,3842.00,3842.00,3841.00,3841.00,212,0\r\n2006-02-27,21:55:00,3841.00,3841.00,3840.00,3840.00,266,0\r\n2006-02-27,21:56:00,3840.00,3841.00,3840.00,3841.00,46,0\r\n2006-02-27,21:57:00,3841.00,3841.00,3841.00,3841.00,25,0\r\n2006-02-27,21:58:00,3841.00,3841.00,3840.00,3841.00,186,0\r\n2006-02-27,21:59:00,3841.00,3841.00,3840.00,3840.00,120,0\r\n2006-02-27,22:00:00,3840.00,3840.00,3838.00,3838.00,327,0\r\n"
  },
  {
    "path": "datas/2006-day-001-optix.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest,Optix_Close,Optix_Pess,Optix_Opt\n2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0,1.1,2.2,3.3\n2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0,1.1,2.2,3.3\n2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0,1.1,2.2,3.3\n2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0,1.1,2.2,3.3\n2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0,1.1,2.2,3.3\n2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0,1.1,2.2,3.3\n2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0,1.1,2.2,3.3\n2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0,1.1,2.2,3.3\n2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0,1.1,2.2,3.3\n2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0,1.1,2.2,3.3\n2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0,1.1,2.2,3.3\n2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0,1.1,2.2,3.3\n2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0,1.1,2.2,3.3\n2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0,1.1,2.2,3.3\n2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0,1.1,2.2,3.3\n2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0,1.1,2.2,3.3\n2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0,1.1,2.2,3.3\n2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0,1.1,2.2,3.3\n2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0,1.1,2.2,3.3\n2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0,1.1,2.2,3.3\n2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0,1.1,2.2,3.3\n2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0,1.1,2.2,3.3\n2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0,1.1,2.2,3.3\n2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0,1.1,2.2,3.3\n2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0,1.1,2.2,3.3\n2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0,1.1,2.2,3.3\n2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0,1.1,2.2,3.3\n2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0,1.1,2.2,3.3\n2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0,1.1,2.2,3.3\n2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0,1.1,2.2,3.3\n2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0,1.1,2.2,3.3\n2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0,1.1,2.2,3.3\n2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0,1.1,2.2,3.3\n2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0,1.1,2.2,3.3\n2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0,1.1,2.2,3.3\n2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0,1.1,2.2,3.3\n2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0,1.1,2.2,3.3\n2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0,1.1,2.2,3.3\n2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0,1.1,2.2,3.3\n2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0,1.1,2.2,3.3\n2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0,1.1,2.2,3.3\n2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0,1.1,2.2,3.3\n2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0,1.1,2.2,3.3\n2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0,1.1,2.2,3.3\n2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0,1.1,2.2,3.3\n2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0,1.1,2.2,3.3\n2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0,1.1,2.2,3.3\n2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0,1.1,2.2,3.3\n2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0,1.1,2.2,3.3\n2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0,1.1,2.2,3.3\n2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0,1.1,2.2,3.3\n2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0,1.1,2.2,3.3\n2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0,1.1,2.2,3.3\n2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0,1.1,2.2,3.3\n2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0,1.1,2.2,3.3\n2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0,1.1,2.2,3.3\n2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0,1.1,2.2,3.3\n2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0,1.1,2.2,3.3\n2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0,1.1,2.2,3.3\n2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0,1.1,2.2,3.3\n2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0,1.1,2.2,3.3\n2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0,1.1,2.2,3.3\n2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0,1.1,2.2,3.3\n2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0,1.1,2.2,3.3\n2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0,1.1,2.2,3.3\n2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0,1.1,2.2,3.3\n2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0,1.1,2.2,3.3\n2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0,1.1,2.2,3.3\n2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0,1.1,2.2,3.3\n2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0,1.1,2.2,3.3\n2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0,1.1,2.2,3.3\n2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0,1.1,2.2,3.3\n2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0,1.1,2.2,3.3\n2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0,1.1,2.2,3.3\n2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0,1.1,2.2,3.3\n2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0,1.1,2.2,3.3\n2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0,1.1,2.2,3.3\n2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0,1.1,2.2,3.3\n2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0,1.1,2.2,3.3\n2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0,1.1,2.2,3.3\n2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0,1.1,2.2,3.3\n2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0,1.1,2.2,3.3\n2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0,1.1,2.2,3.3\n2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0,1.1,2.2,3.3\n2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0,1.1,2.2,3.3\n2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0,1.1,2.2,3.3\n2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0,1.1,2.2,3.3\n2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0,1.1,2.2,3.3\n2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0,1.1,2.2,3.3\n2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0,1.1,2.2,3.3\n2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0,1.1,2.2,3.3\n2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0,1.1,2.2,3.3\n2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0,1.1,2.2,3.3\n2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0,1.1,2.2,3.3\n2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0,1.1,2.2,3.3\n2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0,1.1,2.2,3.3\n2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0,1.1,2.2,3.3\n2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0,1.1,2.2,3.3\n2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0,1.1,2.2,3.3\n2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0,1.1,2.2,3.3\n2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0,1.1,2.2,3.3\n2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0,1.1,2.2,3.3\n2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0,1.1,2.2,3.3\n2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0,1.1,2.2,3.3\n2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0,1.1,2.2,3.3\n2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0,1.1,2.2,3.3\n2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0,1.1,2.2,3.3\n2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0,1.1,2.2,3.3\n2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0,1.1,2.2,3.3\n2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0,1.1,2.2,3.3\n2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0,1.1,2.2,3.3\n2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0,1.1,2.2,3.3\n2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0,1.1,2.2,3.3\n2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0,1.1,2.2,3.3\n2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0,1.1,2.2,3.3\n2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0,1.1,2.2,3.3\n2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0,1.1,2.2,3.3\n2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0,1.1,2.2,3.3\n2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0,1.1,2.2,3.3\n2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0,1.1,2.2,3.3\n2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0,1.1,2.2,3.3\n2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0,1.1,2.2,3.3\n2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0,1.1,2.2,3.3\n2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0,1.1,2.2,3.3\n2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0,1.1,2.2,3.3\n2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0,1.1,2.2,3.3\n2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0,1.1,2.2,3.3\n2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0,1.1,2.2,3.3\n2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0,1.1,2.2,3.3\n2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0,1.1,2.2,3.3\n2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0,1.1,2.2,3.3\n2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0,1.1,2.2,3.3\n2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0,1.1,2.2,3.3\n2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0,1.1,2.2,3.3\n2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0,1.1,2.2,3.3\n2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0,1.1,2.2,3.3\n2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0,1.1,2.2,3.3\n2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0,1.1,2.2,3.3\n2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0,1.1,2.2,3.3\n2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0,1.1,2.2,3.3\n2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0,1.1,2.2,3.3\n2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0,1.1,2.2,3.3\n2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0,1.1,2.2,3.3\n2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0,1.1,2.2,3.3\n2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0,1.1,2.2,3.3\n2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0,1.1,2.2,3.3\n2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0,1.1,2.2,3.3\n2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0,1.1,2.2,3.3\n2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0,1.1,2.2,3.3\n2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0,1.1,2.2,3.3\n2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0,1.1,2.2,3.3\n2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0,1.1,2.2,3.3\n2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0,1.1,2.2,3.3\n2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0,1.1,2.2,3.3\n2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0,1.1,2.2,3.3\n2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0,1.1,2.2,3.3\n2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0,1.1,2.2,3.3\n2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0,1.1,2.2,3.3\n2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0,1.1,2.2,3.3\n2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0,1.1,2.2,3.3\n2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0,1.1,2.2,3.3\n2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0,1.1,2.2,3.3\n2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0,1.1,2.2,3.3\n2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0,1.1,2.2,3.3\n2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0,1.1,2.2,3.3\n2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0,1.1,2.2,3.3\n2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0,1.1,2.2,3.3\n2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0,1.1,2.2,3.3\n2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0,1.1,2.2,3.3\n2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0,1.1,2.2,3.3\n2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0,1.1,2.2,3.3\n2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0,1.1,2.2,3.3\n2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0,1.1,2.2,3.3\n2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0,1.1,2.2,3.3\n2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0,1.1,2.2,3.3\n2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0,1.1,2.2,3.3\n2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0,1.1,2.2,3.3\n2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0,1.1,2.2,3.3\n2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0,1.1,2.2,3.3\n2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0,1.1,2.2,3.3\n2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0,1.1,2.2,3.3\n2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0,1.1,2.2,3.3\n2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0,1.1,2.2,3.3\n2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0,1.1,2.2,3.3\n2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0,1.1,2.2,3.3\n2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0,1.1,2.2,3.3\n2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0,1.1,2.2,3.3\n2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0,1.1,2.2,3.3\n2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0,1.1,2.2,3.3\n2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0,1.1,2.2,3.3\n2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0,1.1,2.2,3.3\n2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0,1.1,2.2,3.3\n2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0,1.1,2.2,3.3\n2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0,1.1,2.2,3.3\n2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0,1.1,2.2,3.3\n2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0,1.1,2.2,3.3\n2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0,1.1,2.2,3.3\n2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0,1.1,2.2,3.3\n2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0,1.1,2.2,3.3\n2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0,1.1,2.2,3.3\n2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0,1.1,2.2,3.3\n2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0,1.1,2.2,3.3\n2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0,1.1,2.2,3.3\n2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0,1.1,2.2,3.3\n2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0,1.1,2.2,3.3\n2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0,1.1,2.2,3.3\n2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0,1.1,2.2,3.3\n2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0,1.1,2.2,3.3\n2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0,1.1,2.2,3.3\n2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0,1.1,2.2,3.3\n2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0,1.1,2.2,3.3\n2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0,1.1,2.2,3.3\n2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0,1.1,2.2,3.3\n2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0,1.1,2.2,3.3\n2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0,1.1,2.2,3.3\n2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0,1.1,2.2,3.3\n2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0,1.1,2.2,3.3\n2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0,1.1,2.2,3.3\n2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0,1.1,2.2,3.3\n2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0,1.1,2.2,3.3\n2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0,1.1,2.2,3.3\n2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0,1.1,2.2,3.3\n2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0,1.1,2.2,3.3\n2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0,1.1,2.2,3.3\n2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0,1.1,2.2,3.3\n2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0,1.1,2.2,3.3\n2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0,1.1,2.2,3.3\n2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0,1.1,2.2,3.3\n2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0,1.1,2.2,3.3\n2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0,1.1,2.2,3.3\n2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0,1.1,2.2,3.3\n2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0,1.1,2.2,3.3\n2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0,1.1,2.2,3.3\n2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0,1.1,2.2,3.3\n2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0,1.1,2.2,3.3\n2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0,1.1,2.2,3.3\n2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0,1.1,2.2,3.3\n2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0,1.1,2.2,3.3\n2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0,1.1,2.2,3.3\n2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0,1.1,2.2,3.3\n2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0,1.1,2.2,3.3\n2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0,1.1,2.2,3.3\n2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0,1.1,2.2,3.3\n2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0,1.1,2.2,3.3\n2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0,1.1,2.2,3.3\n2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0,1.1,2.2,3.3\n2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0,1.1,2.2,3.3\n2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0,1.1,2.2,3.3\n2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0,1.1,2.2,3.3\n2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0,1.1,2.2,3.3\n2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0,1.1,2.2,3.3\n2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0,1.1,2.2,3.3\n2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0,1.1,2.2,3.3\n2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0,1.1,2.2,3.3\n2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0,1.1,2.2,3.3\n"
  },
  {
    "path": "datas/2006-day-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0\n2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0\n2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0\n2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0\n2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0\n2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0\n2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0\n2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0\n2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0\n2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0\n2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0\n2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0\n2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0\n2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0\n2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0\n2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0\n2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0\n2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0\n2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0\n2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0\n2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0\n2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0\n2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0\n2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0\n2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0\n2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0\n2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0\n2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0\n2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0\n2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0\n2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0\n2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0\n2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0\n2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0\n2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0\n2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0\n2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0\n2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0\n2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0\n2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0\n2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0\n2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0\n2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0\n2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0\n2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0\n2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0\n2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0\n2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0\n2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0\n2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0\n2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0\n2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0\n2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0\n2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0\n2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0\n2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0\n2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0\n2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0\n2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0\n2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0\n2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0\n2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0\n2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0\n2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0\n2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0\n2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0\n2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0\n2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0\n2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0\n2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0\n2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0\n2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0\n2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0\n2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0\n2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0\n2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0\n2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0\n2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0\n2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0\n2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0\n2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0\n2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0\n2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0\n2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0\n2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0\n2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0\n2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0\n2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0\n2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0\n2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0\n2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0\n2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0\n2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0\n2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0\n2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0\n2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0\n2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0\n2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0\n2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0\n2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0\n2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0\n2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0\n2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0\n2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0\n2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0\n2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0\n2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0\n2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0\n2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0\n2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0\n2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0\n2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0\n2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0\n2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0\n2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0\n2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0\n2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0\n2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0\n2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0\n2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0\n2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0\n2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0\n2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0\n2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0\n2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0\n2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0\n2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0\n2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0\n2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0\n2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0\n2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0\n2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0\n2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0\n2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0\n2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0\n2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0\n2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0\n2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0\n2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0\n2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0\n2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0\n2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0\n2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0\n2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0\n2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0\n2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0\n2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0\n2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0\n2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0\n2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0\n2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0\n2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0\n2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0\n2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0\n2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0\n2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0\n2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0\n2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0\n2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0\n2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0\n2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0\n2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0\n2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0\n2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0\n2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0\n2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0\n2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0\n2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0\n2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0\n2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0\n2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0\n2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0\n2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0\n2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0\n2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0\n2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0\n2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0\n2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0\n2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0\n2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0\n2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0\n2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0\n2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0\n2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0\n2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0\n2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0\n2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0\n2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0\n2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0\n2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0\n2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0\n2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0\n2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0\n2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0\n2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0\n2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0\n2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0\n2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0\n2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0\n2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0\n2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0\n2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0\n2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0\n2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0\n2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0\n2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0\n2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0\n2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0\n2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0\n2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0\n2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0\n2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0\n2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0\n2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0\n2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0\n2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0\n2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0\n2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0\n2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0\n2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0\n2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0\n2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0\n2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0\n2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0\n2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0\n2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0\n2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0\n2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0\n2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0\n2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0\n2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0\n2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0\n2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0\n2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0\n2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0\n2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0\n2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0\n2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0\n2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0\n2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0\n2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0\n2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0\n2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0\n2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0\n2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0\n2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0\n2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0\n2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0\n2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0\n2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0\n2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0\n2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0\n2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0\n2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0\n2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0\n"
  },
  {
    "path": "datas/2006-day-002.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2006-01-03,3578.73,3638.42,3578.73,3614.34,0,0\n2006-01-05,3615.23,3661.65,3615.23,3650.24,0,0\n2006-01-09,3650.54,3685.99,3647.66,3671.78,0,0\n2006-01-11,3671.23,3674.31,3638.77,3668.61,0,0\n2006-01-13,3667.16,3676.00,3618.06,3629.25,0,0\n2006-01-17,3628.73,3649.10,3606.54,3610.07,0,0\n2006-01-19,3609.34,3609.34,3550.16,3593.22,0,0\n2006-01-23,3593.16,3612.37,3515.07,3544.31,0,0\n2006-01-25,3544.78,3578.00,3526.37,3578.00,0,0\n2006-01-27,3578.92,3685.48,3577.98,3685.48,0,0\n2006-01-31,3684.38,3707.63,3664.45,3691.41,0,0\n2006-02-02,3686.16,3745.14,3674.89,3677.05,0,0\n2006-02-06,3677.05,3704.17,3652.76,3682.32,0,0\n2006-02-08,3682.97,3698.63,3637.93,3671.37,0,0\n2006-02-10,3672.34,3735.14,3672.34,3695.63,0,0\n2006-02-14,3696.09,3744.66,3684.83,3734.48,0,0\n2006-02-16,3733.97,3756.47,3720.41,3756.47,0,0\n2006-02-20,3757.34,3777.16,3749.88,3766.74,0,0\n2006-02-22,3767.21,3818.48,3767.21,3818.48,0,0\n2006-02-24,3819.56,3831.16,3796.21,3826.00,0,0\n2006-02-28,3828.99,3840.56,3769.25,3774.51,0,0\n2006-03-02,3775.23,3820.55,3745.46,3763.73,0,0\n2006-03-06,3763.95,3774.03,3715.35,3754.07,0,0\n2006-03-08,3751.30,3757.16,3702.04,3727.96,0,0\n2006-03-10,3736.61,3798.46,3736.61,3798.46,0,0\n2006-03-14,3801.03,3833.48,3801.03,3833.48,0,0\n2006-03-16,3834.11,3853.33,3822.56,3839.71,0,0\n2006-03-20,3840.20,3874.64,3820.50,3842.03,0,0\n2006-03-22,3842.49,3872.62,3811.02,3868.48,0,0\n2006-03-24,3869.22,3878.49,3850.46,3870.89,0,0\n2006-03-28,3872.28,3872.28,3799.04,3811.45,0,0\n2006-03-30,3811.85,3881.69,3799.12,3874.61,0,0\n2006-04-03,3872.37,3881.11,3840.64,3878.64,0,0\n2006-04-05,3875.08,3875.08,3835.35,3863.92,0,0\n2006-04-07,3866.01,3879.70,3822.26,3823.11,0,0\n2006-04-11,3822.35,3843.62,3781.99,3788.81,0,0\n2006-04-13,3786.93,3791.15,3753.47,3779.94,0,0\n2006-04-19,3779.23,3825.18,3749.71,3820.96,0,0\n2006-04-21,3820.93,3892.35,3820.93,3888.46,0,0\n2006-04-25,3884.57,3888.65,3858.67,3871.09,0,0\n2006-04-27,3873.67,3892.16,3832.10,3865.42,0,0\n2006-05-01,3865.91,3865.91,3833.74,3839.90,0,0\n2006-05-03,3839.24,3879.31,3817.60,3821.97,0,0\n2006-05-05,3822.57,3874.32,3806.35,3874.32,0,0\n2006-05-09,3877.74,3897.40,3866.35,3890.94,0,0\n2006-05-11,3883.38,3894.60,3836.67,3837.86,0,0\n2006-05-15,3829.82,3829.82,3680.95,3711.16,0,0\n2006-05-17,3711.46,3750.42,3605.19,3605.37,0,0\n2006-05-19,3607.41,3649.54,3558.27,3625.33,0,0\n2006-05-23,3622.35,3637.39,3527.05,3620.28,0,0\n2006-05-25,3617.11,3635.00,3542.93,3635.00,0,0\n2006-05-29,3647.15,3699.80,3646.42,3679.57,0,0\n2006-05-31,3677.67,3683.30,3542.41,3637.17,0,0\n2006-06-02,3634.82,3688.89,3595.27,3636.89,0,0\n2006-06-06,3636.83,3638.59,3519.86,3529.10,0,0\n2006-06-08,3536.39,3575.67,3462.37,3462.37,0,0\n2006-06-12,3470.27,3531.70,3470.27,3480.76,0,0\n2006-06-14,3476.33,3476.33,3379.66,3414.21,0,0\n2006-06-16,3423.23,3544.27,3423.23,3463.56,0,0\n2006-06-20,3469.88,3520.51,3453.14,3514.83,0,0\n2006-06-22,3519.86,3571.24,3476.22,3544.85,0,0\n2006-06-26,3545.60,3566.55,3528.59,3534.84,0,0\n2006-06-28,3540.49,3555.94,3484.71,3506.07,0,0\n2006-06-30,3519.54,3655.02,3519.54,3648.92,0,0\n2006-07-04,3648.91,3670.75,3639.07,3670.75,0,0\n2006-07-06,3656.71,3665.54,3607.81,3662.39,0,0\n2006-07-10,3657.00,3671.09,3621.34,3666.51,0,0\n2006-07-12,3656.57,3662.83,3609.05,3630.50,0,0\n2006-07-14,3617.55,3617.55,3508.25,3508.25,0,0\n2006-07-18,3512.22,3518.34,3462.77,3492.11,0,0\n2006-07-20,3497.48,3612.48,3497.48,3589.63,0,0\n2006-07-24,3580.53,3633.50,3546.24,3632.93,0,0\n2006-07-26,3639.65,3651.74,3621.71,3640.75,0,0\n2006-07-28,3649.29,3711.41,3649.29,3710.60,0,0\n2006-08-01,3708.82,3711.52,3632.51,3640.60,0,0\n2006-08-03,3655.93,3703.38,3647.96,3667.91,0,0\n2006-08-07,3677.44,3729.29,3654.09,3659.03,0,0\n2006-08-09,3672.22,3712.22,3651.29,3707.19,0,0\n2006-08-11,3686.63,3698.24,3638.55,3675.10,0,0\n2006-08-15,3690.09,3773.87,3690.09,3766.38,0,0\n2006-08-17,3767.86,3801.01,3765.45,3800.10,0,0\n2006-08-21,3798.33,3807.48,3765.38,3777.25,0,0\n2006-08-23,3788.55,3797.51,3753.04,3758.98,0,0\n2006-08-25,3761.86,3797.91,3743.26,3781.17,0,0\n2006-08-29,3778.79,3829.39,3758.87,3806.81,0,0\n2006-08-31,3815.88,3829.40,3802.39,3808.70,0,0\n2006-09-04,3808.99,3839.30,3808.99,3837.61,0,0\n2006-09-06,3835.82,3835.82,3765.73,3772.21,0,0\n2006-09-08,3766.80,3766.80,3729.77,3750.08,0,0\n2006-09-12,3745.78,3792.73,3709.81,3788.96,0,0\n2006-09-14,3799.86,3824.77,3786.70,3796.65,0,0\n2006-09-18,3800.99,3825.15,3789.18,3808.47,0,0\n2006-09-20,3807.67,3843.26,3770.36,3841.31,0,0\n2006-09-22,3840.20,3867.74,3800.65,3812.73,0,0\n2006-09-26,3815.13,3877.79,3802.47,3872.92,0,0\n2006-09-28,3877.55,3907.41,3871.12,3894.98,0,0\n2006-10-02,3898.07,3921.15,3875.76,3892.48,0,0\n2006-10-04,3886.09,3914.73,3858.87,3914.73,0,0\n2006-10-06,3921.17,3950.06,3919.88,3940.31,0,0\n2006-10-10,3932.33,3963.20,3921.81,3960.67,0,0\n2006-10-12,3956.15,4000.49,3939.78,3999.93,0,0\n2006-10-16,4002.28,4008.67,3986.41,4001.97,0,0\n2006-10-18,3993.04,4007.17,3947.39,3991.38,0,0\n2006-10-20,3986.30,4016.63,3967.98,3998.19,0,0\n2006-10-24,4001.63,4024.75,3982.02,4014.01,0,0\n2006-10-26,4011.18,4047.54,4004.86,4027.29,0,0\n2006-10-30,4029.07,4039.77,3979.81,4004.92,0,0\n2006-11-01,4003.92,4029.57,3990.01,4014.34,0,0\n2006-11-03,4003.97,4010.72,3961.64,3990.46,0,0\n2006-11-07,3991.47,4075.99,3991.47,4072.86,0,0\n2006-11-09,4064.92,4081.70,4047.19,4073.00,0,0\n2006-11-13,4067.10,4095.55,4048.97,4086.14,0,0\n2006-11-15,4087.11,4110.53,4068.51,4108.83,0,0\n2006-11-17,4107.71,4116.79,4066.05,4078.36,0,0\n2006-11-21,4074.59,4112.27,4049.44,4096.06,0,0\n2006-11-23,4105.91,4118.40,4070.31,4085.76,0,0\n2006-11-27,4076.14,4078.44,3978.25,3978.25,0,0\n2006-11-29,3976.16,4023.89,3951.94,4023.09,0,0\n2006-12-01,4027.46,4036.72,3914.46,3932.09,0,0\n2006-12-05,3935.81,4014.55,3927.40,4007.94,0,0\n2006-12-07,4007.75,4039.25,3987.15,4018.69,0,0\n2006-12-11,4011.63,4055.74,3980.66,4052.89,0,0\n2006-12-13,4052.55,4096.28,4044.02,4094.33,0,0\n2006-12-15,4100.49,4147.38,4099.98,4140.66,0,0\n2006-12-19,4140.99,4141.46,4085.18,4100.48,0,0\n2006-12-21,4108.30,4130.80,4104.46,4112.10,0,0\n2006-12-25,4109.86,4109.86,4072.62,4073.50,0,0\n2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0\n2006-12-29,4137.44,4142.06,4119.94,4119.94,0,0\n"
  },
  {
    "path": "datas/2006-min-005.txt",
    "content": "Date,Time,Open,High,Low,Close,Volume,OpenInterest\n2006-01-02,09:05:00,3578.73,3587.88,3578.73,3582.99,0,0\n2006-01-02,09:10:00,3583.01,3588.40,3583.01,3588.03,0,0\n2006-01-02,09:15:00,3588.09,3591.83,3587.75,3591.83,0,0\n2006-01-02,09:20:00,3591.42,3591.58,3589.58,3590.62,0,0\n2006-01-02,09:25:00,3590.64,3591.86,3590.29,3591.16,0,0\n2006-01-02,09:30:00,3591.18,3591.18,3590.02,3590.65,0,0\n2006-01-02,09:35:00,3591.40,3596.42,3591.34,3596.41,0,0\n2006-01-02,09:40:00,3597.27,3602.86,3597.27,3602.43,0,0\n2006-01-02,09:45:00,3602.96,3605.49,3602.57,3604.35,0,0\n2006-01-02,09:50:00,3604.02,3604.11,3602.70,3602.70,0,0\n2006-01-02,09:55:00,3602.61,3602.61,3601.56,3601.79,0,0\n2006-01-02,10:00:00,3601.58,3601.58,3599.29,3600.40,0,0\n2006-01-02,10:05:00,3600.28,3602.70,3600.28,3602.70,0,0\n2006-01-02,10:10:00,3602.34,3603.31,3600.95,3601.05,0,0\n2006-01-02,10:15:00,3600.82,3600.82,3598.58,3598.85,0,0\n2006-01-02,10:20:00,3598.70,3600.52,3598.60,3599.74,0,0\n2006-01-02,10:25:00,3599.96,3601.35,3599.87,3601.02,0,0\n2006-01-02,10:30:00,3601.47,3601.57,3600.70,3601.11,0,0\n2006-01-02,10:35:00,3601.48,3603.04,3601.07,3601.34,0,0\n2006-01-02,10:40:00,3601.15,3602.69,3601.15,3602.69,0,0\n2006-01-02,10:45:00,3602.61,3602.86,3602.15,3602.15,0,0\n2006-01-02,10:50:00,3602.34,3602.39,3601.42,3601.89,0,0\n2006-01-02,10:55:00,3601.99,3602.54,3601.55,3601.55,0,0\n2006-01-02,11:00:00,3601.70,3601.85,3600.46,3601.22,0,0\n2006-01-02,11:05:00,3601.26,3601.58,3600.66,3600.72,0,0\n2006-01-02,11:10:00,3600.49,3600.88,3599.07,3599.85,0,0\n2006-01-02,11:15:00,3599.72,3599.85,3598.10,3598.47,0,0\n2006-01-02,11:20:00,3598.45,3598.45,3590.60,3590.63,0,0\n2006-01-02,11:25:00,3590.66,3592.40,3590.32,3592.18,0,0\n2006-01-02,11:30:00,3592.13,3593.72,3592.13,3593.72,0,0\n2006-01-02,11:35:00,3593.78,3595.29,3593.78,3595.20,0,0\n2006-01-02,11:40:00,3595.35,3595.80,3594.84,3595.26,0,0\n2006-01-02,11:45:00,3595.43,3596.26,3594.81,3595.73,0,0\n2006-01-02,11:50:00,3595.84,3597.04,3595.31,3597.04,0,0\n2006-01-02,11:55:00,3596.77,3599.26,3596.55,3598.63,0,0\n2006-01-02,12:00:00,3598.73,3599.48,3598.06,3598.40,0,0\n2006-01-02,12:05:00,3598.58,3598.92,3598.16,3598.37,0,0\n2006-01-02,12:10:00,3598.15,3598.57,3597.74,3597.96,0,0\n2006-01-02,12:15:00,3598.24,3599.13,3597.75,3598.77,0,0\n2006-01-02,12:20:00,3598.62,3600.24,3598.62,3600.24,0,0\n2006-01-02,12:25:00,3600.31,3600.78,3599.95,3599.98,0,0\n2006-01-02,12:30:00,3599.83,3600.05,3599.54,3599.79,0,0\n2006-01-02,12:35:00,3599.77,3599.99,3598.90,3599.00,0,0\n2006-01-02,12:40:00,3599.02,3599.31,3598.63,3598.76,0,0\n2006-01-02,12:45:00,3598.88,3599.38,3598.31,3598.77,0,0\n2006-01-02,12:50:00,3598.68,3598.91,3596.95,3596.95,0,0\n2006-01-02,12:55:00,3596.84,3597.19,3596.21,3596.22,0,0\n2006-01-02,13:00:00,3596.19,3596.85,3596.07,3596.85,0,0\n2006-01-02,13:05:00,3596.73,3596.93,3596.24,3596.42,0,0\n2006-01-02,13:10:00,3596.32,3596.32,3595.69,3595.84,0,0\n2006-01-02,13:15:00,3595.85,3596.15,3595.27,3595.63,0,0\n2006-01-02,13:20:00,3596.02,3596.02,3595.47,3595.59,0,0\n2006-01-02,13:25:00,3595.55,3595.76,3595.25,3595.31,0,0\n2006-01-02,13:30:00,3595.17,3596.48,3595.15,3596.40,0,0\n2006-01-02,13:35:00,3596.30,3596.30,3595.16,3595.16,0,0\n2006-01-02,13:40:00,3595.29,3595.30,3594.60,3595.30,0,0\n2006-01-02,13:45:00,3595.09,3595.36,3594.73,3595.31,0,0\n2006-01-02,13:50:00,3595.28,3595.37,3594.59,3594.93,0,0\n2006-01-02,13:55:00,3595.20,3595.36,3594.59,3594.74,0,0\n2006-01-02,14:00:00,3594.85,3595.11,3594.45,3594.79,0,0\n2006-01-02,14:05:00,3594.88,3595.19,3594.28,3594.55,0,0\n2006-01-02,14:10:00,3594.71,3594.71,3593.58,3593.99,0,0\n2006-01-02,14:15:00,3593.92,3594.90,3593.73,3594.78,0,0\n2006-01-02,14:20:00,3594.37,3595.17,3594.15,3594.15,0,0\n2006-01-02,14:25:00,3594.02,3594.80,3594.00,3594.31,0,0\n2006-01-02,14:30:00,3594.67,3595.51,3594.67,3595.51,0,0\n2006-01-02,14:35:00,3595.50,3595.64,3594.96,3595.44,0,0\n2006-01-02,14:40:00,3595.59,3595.87,3595.25,3595.52,0,0\n2006-01-02,14:45:00,3595.73,3596.29,3595.19,3595.47,0,0\n2006-01-02,14:50:00,3595.48,3596.15,3595.39,3595.62,0,0\n2006-01-02,14:55:00,3595.55,3596.45,3595.55,3596.45,0,0\n2006-01-02,15:00:00,3596.53,3596.55,3595.43,3596.52,0,0\n2006-01-02,15:05:00,3596.36,3596.51,3595.80,3596.33,0,0\n2006-01-02,15:10:00,3596.12,3596.63,3595.92,3596.63,0,0\n2006-01-02,15:15:00,3596.36,3596.65,3596.19,3596.65,0,0\n2006-01-02,15:20:00,3596.53,3599.13,3596.12,3598.90,0,0\n2006-01-02,15:25:00,3599.07,3599.68,3598.47,3599.68,0,0\n2006-01-02,15:30:00,3599.64,3599.73,3599.00,3599.67,0,0\n2006-01-02,15:35:00,3599.61,3600.29,3599.52,3599.92,0,0\n2006-01-02,15:40:00,3599.96,3602.06,3599.76,3602.05,0,0\n2006-01-02,15:45:00,3601.97,3602.07,3601.45,3601.83,0,0\n2006-01-02,15:50:00,3601.74,3602.80,3601.63,3602.80,0,0\n2006-01-02,15:55:00,3602.53,3602.74,3602.33,3602.61,0,0\n2006-01-02,16:00:00,3602.58,3602.75,3601.81,3602.14,0,0\n2006-01-02,16:05:00,3602.16,3602.16,3600.86,3600.96,0,0\n2006-01-02,16:10:00,3601.20,3601.49,3600.94,3601.27,0,0\n2006-01-02,16:15:00,3601.47,3601.69,3600.37,3600.69,0,0\n2006-01-02,16:20:00,3600.39,3600.68,3600.13,3600.50,0,0\n2006-01-02,16:25:00,3600.91,3602.05,3600.91,3601.82,0,0\n2006-01-02,16:30:00,3601.87,3602.18,3601.40,3602.04,0,0\n2006-01-02,16:35:00,3602.25,3603.07,3601.88,3603.07,0,0\n2006-01-02,16:40:00,3603.06,3603.93,3602.53,3603.93,0,0\n2006-01-02,16:45:00,3603.36,3603.62,3603.14,3603.42,0,0\n2006-01-02,16:50:00,3603.16,3603.87,3602.97,3603.28,0,0\n2006-01-02,16:55:00,3603.48,3603.48,3602.06,3602.06,0,0\n2006-01-02,17:00:00,3602.38,3603.07,3601.99,3602.56,0,0\n2006-01-02,17:05:00,3602.50,3603.93,3602.25,3603.81,0,0\n2006-01-02,17:10:00,3603.87,3604.12,3603.41,3604.11,0,0\n2006-01-02,17:15:00,3603.96,3603.96,3602.89,3603.79,0,0\n2006-01-02,17:20:00,3603.94,3605.95,3603.87,3603.91,0,0\n2006-01-02,17:25:00,3604.00,3604.76,3603.85,3604.64,0,0\n2006-01-02,17:30:00,3604.06,3604.41,3603.95,3604.33,0,0\n2006-01-03,09:05:00,3604.08,3609.60,3604.08,3609.60,0,0\n2006-01-03,09:10:00,3610.34,3617.31,3610.34,3617.31,0,0\n2006-01-03,09:15:00,3617.61,3617.87,3616.03,3617.51,0,0\n2006-01-03,09:20:00,3617.24,3618.86,3616.09,3618.42,0,0\n2006-01-03,09:25:00,3618.36,3623.31,3618.36,3623.23,0,0\n2006-01-03,09:30:00,3623.57,3625.02,3622.00,3623.99,0,0\n2006-01-03,09:35:00,3623.91,3628.72,3623.61,3628.22,0,0\n2006-01-03,09:40:00,3627.92,3631.61,3627.92,3631.35,0,0\n2006-01-03,09:45:00,3630.88,3630.88,3628.69,3628.69,0,0\n2006-01-03,09:50:00,3628.86,3629.09,3627.27,3628.61,0,0\n2006-01-03,09:55:00,3628.41,3631.13,3628.41,3630.43,0,0\n2006-01-03,10:00:00,3630.32,3630.97,3629.28,3630.97,0,0\n2006-01-03,10:05:00,3631.34,3633.33,3631.34,3632.30,0,0\n2006-01-03,10:10:00,3632.14,3632.29,3630.88,3631.50,0,0\n2006-01-03,10:15:00,3631.47,3631.78,3630.82,3631.78,0,0\n2006-01-03,10:20:00,3631.60,3633.50,3631.60,3633.34,0,0\n2006-01-03,10:25:00,3633.43,3635.74,3633.43,3634.70,0,0\n2006-01-03,10:30:00,3634.30,3635.36,3634.25,3635.04,0,0\n2006-01-03,10:35:00,3634.63,3635.29,3634.26,3635.08,0,0\n2006-01-03,10:40:00,3634.96,3634.96,3634.09,3634.28,0,0\n2006-01-03,10:45:00,3634.76,3636.48,3634.60,3636.25,0,0\n2006-01-03,10:50:00,3636.54,3637.72,3636.25,3637.00,0,0\n2006-01-03,10:55:00,3636.57,3636.57,3634.30,3634.30,0,0\n2006-01-03,11:00:00,3634.18,3635.82,3633.60,3635.70,0,0\n2006-01-03,11:05:00,3635.70,3638.13,3635.65,3637.15,0,0\n2006-01-03,11:10:00,3637.30,3638.42,3636.86,3637.30,0,0\n2006-01-03,11:15:00,3636.91,3637.38,3636.45,3636.79,0,0\n2006-01-03,11:20:00,3636.45,3636.63,3634.98,3634.98,0,0\n2006-01-03,11:25:00,3635.04,3636.40,3634.74,3636.38,0,0\n2006-01-03,11:30:00,3636.26,3636.65,3636.01,3636.47,0,0\n2006-01-03,11:35:00,3636.37,3637.44,3635.72,3635.72,0,0\n2006-01-03,11:40:00,3635.54,3635.89,3635.14,3635.40,0,0\n2006-01-03,11:45:00,3635.37,3636.67,3635.37,3636.67,0,0\n2006-01-03,11:50:00,3636.76,3637.07,3636.33,3636.54,0,0\n2006-01-03,11:55:00,3636.39,3636.83,3635.68,3635.68,0,0\n2006-01-03,12:00:00,3636.20,3637.13,3635.93,3636.95,0,0\n2006-01-03,12:05:00,3636.49,3636.78,3635.14,3635.26,0,0\n2006-01-03,12:10:00,3635.46,3635.63,3634.91,3635.63,0,0\n2006-01-03,12:15:00,3635.98,3635.98,3634.66,3635.26,0,0\n2006-01-03,12:20:00,3635.23,3635.43,3634.36,3634.36,0,0\n2006-01-03,12:25:00,3634.19,3634.67,3633.87,3634.30,0,0\n2006-01-03,12:30:00,3634.18,3634.46,3633.88,3634.22,0,0\n2006-01-03,12:35:00,3634.47,3634.87,3634.06,3634.73,0,0\n2006-01-03,12:40:00,3634.58,3635.10,3634.43,3635.01,0,0\n2006-01-03,12:45:00,3635.01,3635.06,3634.29,3634.57,0,0\n2006-01-03,12:50:00,3634.16,3634.22,3633.34,3634.05,0,0\n2006-01-03,12:55:00,3634.16,3635.08,3634.16,3634.97,0,0\n2006-01-03,13:00:00,3634.87,3635.06,3633.98,3634.14,0,0\n2006-01-03,13:05:00,3634.35,3634.35,3633.53,3634.19,0,0\n2006-01-03,13:10:00,3634.31,3634.95,3633.67,3634.95,0,0\n2006-01-03,13:15:00,3634.84,3634.96,3633.58,3634.18,0,0\n2006-01-03,13:20:00,3634.11,3634.27,3633.45,3634.09,0,0\n2006-01-03,13:25:00,3634.40,3634.47,3633.81,3634.08,0,0\n2006-01-03,13:30:00,3634.32,3634.97,3634.17,3634.69,0,0\n2006-01-03,13:35:00,3634.88,3635.62,3634.58,3634.67,0,0\n2006-01-03,13:40:00,3634.53,3635.11,3634.01,3634.16,0,0\n2006-01-03,13:45:00,3634.07,3634.57,3633.84,3634.57,0,0\n2006-01-03,13:50:00,3634.49,3634.71,3634.11,3634.34,0,0\n2006-01-03,13:55:00,3634.30,3634.50,3633.92,3634.28,0,0\n2006-01-03,14:00:00,3634.22,3637.00,3634.22,3637.00,0,0\n2006-01-03,14:05:00,3637.26,3637.26,3635.88,3636.98,0,0\n2006-01-03,14:10:00,3636.90,3637.14,3636.53,3637.05,0,0\n2006-01-03,14:15:00,3637.31,3637.45,3635.24,3635.24,0,0\n2006-01-03,14:20:00,3634.99,3635.14,3633.83,3633.83,0,0\n2006-01-03,14:25:00,3633.76,3633.77,3631.98,3632.96,0,0\n2006-01-03,14:30:00,3632.97,3634.11,3632.97,3633.97,0,0\n2006-01-03,14:35:00,3633.66,3634.12,3633.23,3633.98,0,0\n2006-01-03,14:40:00,3633.90,3635.40,3633.80,3635.24,0,0\n2006-01-03,14:45:00,3634.90,3635.99,3634.90,3635.71,0,0\n2006-01-03,14:50:00,3635.76,3636.73,3635.76,3636.30,0,0\n2006-01-03,14:55:00,3636.78,3636.85,3635.83,3635.98,0,0\n2006-01-03,15:00:00,3636.02,3636.39,3635.73,3635.81,0,0\n2006-01-03,15:05:00,3636.26,3636.33,3635.06,3635.32,0,0\n2006-01-03,15:10:00,3635.27,3635.80,3635.05,3635.79,0,0\n2006-01-03,15:15:00,3635.90,3636.23,3634.47,3634.73,0,0\n2006-01-03,15:20:00,3634.67,3634.95,3634.34,3634.81,0,0\n2006-01-03,15:25:00,3634.72,3635.00,3634.06,3634.87,0,0\n2006-01-03,15:30:00,3634.81,3634.89,3634.04,3634.23,0,0\n2006-01-03,15:35:00,3634.01,3635.80,3633.27,3633.27,0,0\n2006-01-03,15:40:00,3633.71,3633.71,3629.56,3629.56,0,0\n2006-01-03,15:45:00,3629.87,3633.71,3629.87,3633.71,0,0\n2006-01-03,15:50:00,3633.65,3633.72,3631.07,3631.97,0,0\n2006-01-03,15:55:00,3631.80,3632.19,3629.59,3629.68,0,0\n2006-01-03,16:00:00,3629.23,3630.25,3628.56,3630.25,0,0\n2006-01-03,16:05:00,3630.16,3630.16,3623.29,3623.54,0,0\n2006-01-03,16:10:00,3623.42,3625.34,3620.97,3621.58,0,0\n2006-01-03,16:15:00,3621.38,3621.73,3616.88,3617.21,0,0\n2006-01-03,16:20:00,3617.18,3621.09,3615.81,3621.09,0,0\n2006-01-03,16:25:00,3621.12,3621.18,3615.59,3615.59,0,0\n2006-01-03,16:30:00,3615.31,3615.45,3609.71,3611.20,0,0\n2006-01-03,16:35:00,3611.13,3611.84,3604.16,3604.84,0,0\n2006-01-03,16:40:00,3604.60,3604.60,3601.84,3602.59,0,0\n2006-01-03,16:45:00,3602.93,3608.80,3602.93,3608.31,0,0\n2006-01-03,16:50:00,3608.19,3610.76,3608.07,3610.76,0,0\n2006-01-03,16:55:00,3610.63,3613.12,3610.61,3612.59,0,0\n2006-01-03,17:00:00,3612.39,3613.70,3609.20,3610.05,0,0\n2006-01-03,17:05:00,3610.58,3611.56,3608.14,3608.14,0,0\n2006-01-03,17:10:00,3606.85,3608.09,3603.82,3608.09,0,0\n2006-01-03,17:15:00,3608.31,3609.01,3606.02,3607.36,0,0\n2006-01-03,17:20:00,3607.45,3610.81,3607.29,3610.62,0,0\n2006-01-03,17:25:00,3610.39,3610.71,3608.88,3609.13,0,0\n2006-01-03,17:30:00,3609.22,3614.34,3608.92,3614.34,0,0\n2006-01-04,09:05:00,3615.23,3643.02,3615.23,3643.02,0,0\n2006-01-04,09:10:00,3643.10,3650.67,3643.10,3649.53,0,0\n2006-01-04,09:15:00,3649.23,3649.95,3648.23,3648.57,0,0\n2006-01-04,09:20:00,3648.54,3649.06,3643.17,3643.17,0,0\n2006-01-04,09:25:00,3642.76,3644.65,3641.84,3643.55,0,0\n2006-01-04,09:30:00,3642.91,3645.55,3642.91,3645.55,0,0\n2006-01-04,09:35:00,3645.58,3646.37,3643.83,3646.03,0,0\n2006-01-04,09:40:00,3646.24,3648.08,3646.24,3647.15,0,0\n2006-01-04,09:45:00,3646.88,3646.97,3644.89,3644.89,0,0\n2006-01-04,09:50:00,3644.67,3644.93,3640.14,3640.50,0,0\n2006-01-04,09:55:00,3640.49,3645.12,3640.46,3644.75,0,0\n2006-01-04,10:00:00,3644.97,3645.07,3643.78,3644.73,0,0\n2006-01-04,10:05:00,3643.96,3643.96,3641.03,3641.03,0,0\n2006-01-04,10:10:00,3641.01,3642.59,3640.81,3641.63,0,0\n2006-01-04,10:15:00,3641.45,3642.65,3641.19,3642.17,0,0\n2006-01-04,10:20:00,3642.35,3644.91,3642.17,3644.36,0,0\n2006-01-04,10:25:00,3644.42,3645.63,3644.42,3644.88,0,0\n2006-01-04,10:30:00,3644.63,3644.63,3633.50,3633.50,0,0\n2006-01-04,10:35:00,3631.82,3640.62,3631.82,3638.01,0,0\n2006-01-04,10:40:00,3638.14,3638.32,3629.17,3634.36,0,0\n2006-01-04,10:45:00,3633.36,3639.19,3633.36,3639.19,0,0\n2006-01-04,10:50:00,3639.02,3641.15,3638.17,3640.68,0,0\n2006-01-04,10:55:00,3640.64,3641.54,3638.83,3639.21,0,0\n2006-01-04,11:00:00,3639.25,3639.25,3637.69,3637.69,0,0\n2006-01-04,11:05:00,3636.17,3638.87,3636.17,3638.78,0,0\n2006-01-04,11:10:00,3638.85,3640.32,3638.68,3640.32,0,0\n2006-01-04,11:15:00,3640.54,3642.91,3640.26,3642.52,0,0\n2006-01-04,11:20:00,3642.90,3642.90,3640.85,3641.09,0,0\n2006-01-04,11:25:00,3641.28,3642.29,3641.28,3642.01,0,0\n2006-01-04,11:30:00,3641.82,3643.98,3641.49,3643.75,0,0\n2006-01-04,11:35:00,3643.92,3643.92,3642.68,3642.98,0,0\n2006-01-04,11:40:00,3643.14,3643.35,3642.51,3642.51,0,0\n2006-01-04,11:45:00,3642.70,3643.99,3642.70,3643.99,0,0\n2006-01-04,11:50:00,3643.83,3644.44,3643.50,3644.19,0,0\n2006-01-04,11:55:00,3644.29,3644.29,3642.54,3642.81,0,0\n2006-01-04,12:00:00,3643.22,3643.22,3641.33,3641.54,0,0\n2006-01-04,12:05:00,3642.65,3642.65,3640.57,3641.78,0,0\n2006-01-04,12:10:00,3641.80,3642.10,3641.49,3641.96,0,0\n2006-01-04,12:15:00,3641.88,3642.71,3641.55,3642.50,0,0\n2006-01-04,12:20:00,3643.05,3643.05,3642.23,3642.23,0,0\n2006-01-04,12:25:00,3642.65,3642.95,3642.28,3642.56,0,0\n2006-01-04,12:30:00,3642.38,3643.88,3642.31,3643.15,0,0\n2006-01-04,12:35:00,3642.76,3643.18,3641.90,3642.21,0,0\n2006-01-04,12:40:00,3642.42,3642.65,3640.91,3640.97,0,0\n2006-01-04,12:45:00,3640.90,3641.13,3640.12,3640.12,0,0\n2006-01-04,12:50:00,3640.06,3640.68,3639.70,3640.65,0,0\n2006-01-04,12:55:00,3640.67,3640.67,3639.95,3640.00,0,0\n2006-01-04,13:00:00,3640.30,3641.58,3640.06,3641.56,0,0\n2006-01-04,13:05:00,3641.69,3641.77,3640.98,3641.23,0,0\n2006-01-04,13:10:00,3641.31,3641.83,3641.14,3641.42,0,0\n2006-01-04,13:15:00,3641.28,3641.57,3640.76,3641.43,0,0\n2006-01-04,13:20:00,3641.57,3642.21,3641.30,3641.88,0,0\n2006-01-04,13:25:00,3641.56,3642.03,3640.82,3641.11,0,0\n2006-01-04,13:30:00,3641.02,3641.86,3640.65,3641.27,0,0\n2006-01-04,13:35:00,3641.08,3641.94,3640.90,3641.85,0,0\n2006-01-04,13:40:00,3641.75,3641.98,3640.30,3640.30,0,0\n2006-01-04,13:45:00,3640.68,3640.87,3639.91,3640.06,0,0\n2006-01-04,13:50:00,3640.12,3640.55,3639.22,3640.26,0,0\n2006-01-04,13:55:00,3640.17,3640.67,3639.65,3640.53,0,0\n2006-01-04,14:00:00,3640.30,3640.61,3639.98,3640.43,0,0\n2006-01-04,14:05:00,3640.57,3640.61,3639.91,3640.13,0,0\n2006-01-04,14:10:00,3639.38,3640.44,3639.38,3640.44,0,0\n2006-01-04,14:15:00,3640.44,3641.04,3640.14,3640.88,0,0\n2006-01-04,14:20:00,3641.23,3641.88,3641.23,3641.25,0,0\n2006-01-04,14:25:00,3641.12,3642.44,3640.99,3641.11,0,0\n2006-01-04,14:30:00,3641.08,3642.03,3641.08,3641.83,0,0\n2006-01-04,14:35:00,3641.74,3642.29,3641.46,3641.46,0,0\n2006-01-04,14:40:00,3641.94,3642.67,3641.79,3642.28,0,0\n2006-01-04,14:45:00,3642.20,3645.26,3642.15,3644.68,0,0\n2006-01-04,14:50:00,3644.87,3644.87,3643.99,3644.01,0,0\n2006-01-04,14:55:00,3644.11,3644.71,3643.79,3644.14,0,0\n2006-01-04,15:00:00,3643.93,3644.16,3642.41,3642.72,0,0\n2006-01-04,15:05:00,3642.94,3643.28,3641.93,3641.93,0,0\n2006-01-04,15:10:00,3641.11,3642.10,3640.82,3641.95,0,0\n2006-01-04,15:15:00,3642.04,3643.21,3642.04,3642.92,0,0\n2006-01-04,15:20:00,3643.39,3645.28,3643.04,3645.20,0,0\n2006-01-04,15:25:00,3644.93,3645.80,3644.70,3644.91,0,0\n2006-01-04,15:30:00,3644.73,3645.21,3644.22,3644.63,0,0\n2006-01-04,15:35:00,3644.76,3645.33,3643.34,3643.34,0,0\n2006-01-04,15:40:00,3643.38,3643.88,3642.52,3643.69,0,0\n2006-01-04,15:45:00,3644.21,3647.39,3644.21,3646.27,0,0\n2006-01-04,15:50:00,3646.29,3647.62,3645.60,3646.55,0,0\n2006-01-04,15:55:00,3646.63,3647.15,3644.01,3644.51,0,0\n2006-01-04,16:00:00,3644.52,3645.80,3644.31,3645.23,0,0\n2006-01-04,16:05:00,3645.10,3649.94,3645.10,3649.70,0,0\n2006-01-04,16:10:00,3650.12,3650.36,3648.39,3650.36,0,0\n2006-01-04,16:15:00,3650.49,3650.49,3648.34,3648.63,0,0\n2006-01-04,16:20:00,3648.24,3650.80,3647.76,3648.35,0,0\n2006-01-04,16:25:00,3648.48,3649.43,3648.17,3649.43,0,0\n2006-01-04,16:30:00,3648.97,3649.12,3645.79,3646.03,0,0\n2006-01-04,16:35:00,3644.91,3645.37,3643.86,3645.37,0,0\n2006-01-04,16:40:00,3645.04,3645.74,3643.52,3644.90,0,0\n2006-01-04,16:45:00,3644.13,3644.26,3642.15,3642.98,0,0\n2006-01-04,16:50:00,3643.01,3644.60,3642.57,3644.48,0,0\n2006-01-04,16:55:00,3644.60,3646.34,3644.60,3644.94,0,0\n2006-01-04,17:00:00,3644.98,3646.21,3644.48,3644.48,0,0\n2006-01-04,17:05:00,3644.48,3647.98,3644.47,3647.85,0,0\n2006-01-04,17:10:00,3648.05,3648.82,3646.51,3647.94,0,0\n2006-01-04,17:15:00,3647.41,3647.87,3646.48,3647.39,0,0\n2006-01-04,17:20:00,3647.47,3649.41,3647.47,3649.25,0,0\n2006-01-04,17:25:00,3649.93,3651.08,3649.45,3650.07,0,0\n2006-01-04,17:30:00,3650.19,3652.46,3650.19,3652.46,0,0\n2006-01-05,09:05:00,3652.19,3652.95,3646.92,3647.27,0,0\n2006-01-05,09:10:00,3647.45,3650.00,3647.21,3647.97,0,0\n2006-01-05,09:15:00,3647.86,3649.97,3647.39,3648.80,0,0\n2006-01-05,09:20:00,3648.51,3648.60,3646.06,3646.91,0,0\n2006-01-05,09:25:00,3646.59,3646.59,3645.38,3645.54,0,0\n2006-01-05,09:30:00,3645.86,3649.39,3645.66,3649.34,0,0\n2006-01-05,09:35:00,3648.90,3651.70,3648.85,3651.62,0,0\n2006-01-05,09:40:00,3652.03,3652.22,3650.25,3650.25,0,0\n2006-01-05,09:45:00,3649.93,3650.25,3647.69,3647.69,0,0\n2006-01-05,09:50:00,3646.46,3647.01,3644.96,3645.25,0,0\n2006-01-05,09:55:00,3645.81,3648.91,3645.78,3648.69,0,0\n2006-01-05,10:00:00,3648.45,3649.70,3647.45,3647.93,0,0\n2006-01-05,10:05:00,3648.40,3648.40,3647.25,3647.85,0,0\n2006-01-05,10:10:00,3647.81,3648.99,3647.41,3648.13,0,0\n2006-01-05,10:15:00,3646.13,3646.13,3643.42,3644.47,0,0\n2006-01-05,10:20:00,3644.23,3644.38,3643.17,3643.30,0,0\n2006-01-05,10:25:00,3643.59,3648.34,3643.59,3648.34,0,0\n2006-01-05,10:30:00,3648.47,3649.35,3647.07,3647.22,0,0\n2006-01-05,10:35:00,3647.35,3648.79,3646.80,3648.78,0,0\n2006-01-05,10:40:00,3648.57,3649.05,3648.39,3648.69,0,0\n2006-01-05,10:45:00,3649.09,3652.79,3649.09,3652.79,0,0\n2006-01-05,10:50:00,3652.99,3654.05,3651.43,3652.09,0,0\n2006-01-05,10:55:00,3652.25,3652.87,3651.64,3652.72,0,0\n2006-01-05,11:00:00,3652.87,3652.91,3652.20,3652.51,0,0\n2006-01-05,11:05:00,3652.53,3652.53,3648.55,3648.55,0,0\n2006-01-05,11:10:00,3648.91,3649.59,3648.20,3649.59,0,0\n2006-01-05,11:15:00,3649.41,3650.09,3649.16,3649.87,0,0\n2006-01-05,11:20:00,3650.12,3650.84,3647.57,3647.79,0,0\n2006-01-05,11:25:00,3647.45,3648.63,3647.45,3648.44,0,0\n2006-01-05,11:30:00,3648.56,3648.93,3646.19,3647.31,0,0\n2006-01-05,11:35:00,3646.93,3647.97,3646.93,3647.97,0,0\n2006-01-05,11:40:00,3648.00,3650.81,3647.68,3650.24,0,0\n2006-01-05,11:45:00,3650.36,3651.02,3649.81,3650.75,0,0\n2006-01-05,11:50:00,3650.92,3651.56,3650.59,3651.28,0,0\n2006-01-05,11:55:00,3651.27,3651.52,3651.00,3651.32,0,0\n2006-01-05,12:00:00,3651.25,3652.43,3651.08,3652.16,0,0\n2006-01-05,12:05:00,3651.59,3653.56,3651.59,3653.00,0,0\n2006-01-05,12:10:00,3653.23,3653.25,3652.17,3652.44,0,0\n2006-01-05,12:15:00,3652.32,3652.57,3650.23,3650.87,0,0\n2006-01-05,12:20:00,3650.45,3651.24,3650.33,3650.87,0,0\n2006-01-05,12:25:00,3650.73,3651.88,3650.43,3651.54,0,0\n2006-01-05,12:30:00,3651.74,3653.73,3651.51,3652.23,0,0\n2006-01-05,12:35:00,3652.01,3652.15,3651.58,3651.69,0,0\n2006-01-05,12:40:00,3651.68,3652.07,3651.24,3651.47,0,0\n2006-01-05,12:45:00,3651.28,3651.94,3651.08,3651.30,0,0\n2006-01-05,12:50:00,3651.45,3652.15,3651.43,3652.15,0,0\n2006-01-05,12:55:00,3652.08,3652.17,3651.60,3651.90,0,0\n2006-01-05,13:00:00,3651.61,3651.95,3651.11,3651.95,0,0\n2006-01-05,13:05:00,3651.88,3653.71,3651.60,3653.07,0,0\n2006-01-05,13:10:00,3652.70,3656.32,3652.70,3655.70,0,0\n2006-01-05,13:15:00,3655.73,3656.46,3655.53,3656.04,0,0\n2006-01-05,13:20:00,3655.77,3656.16,3654.95,3655.46,0,0\n2006-01-05,13:25:00,3655.34,3656.05,3655.02,3656.04,0,0\n2006-01-05,13:30:00,3656.05,3656.32,3655.68,3656.04,0,0\n2006-01-05,13:35:00,3655.83,3656.86,3655.60,3656.02,0,0\n2006-01-05,13:40:00,3656.35,3656.35,3655.47,3655.54,0,0\n2006-01-05,13:45:00,3655.80,3656.49,3655.47,3656.08,0,0\n2006-01-05,13:50:00,3656.26,3656.88,3656.26,3656.66,0,0\n2006-01-05,13:55:00,3656.75,3656.75,3653.71,3654.25,0,0\n2006-01-05,14:00:00,3654.10,3654.10,3652.67,3653.03,0,0\n2006-01-05,14:05:00,3652.73,3652.83,3651.40,3651.62,0,0\n2006-01-05,14:10:00,3651.01,3652.14,3650.95,3652.13,0,0\n2006-01-05,14:15:00,3652.02,3652.33,3651.57,3651.90,0,0\n2006-01-05,14:20:00,3652.06,3652.35,3651.60,3652.29,0,0\n2006-01-05,14:25:00,3652.01,3654.38,3651.88,3654.15,0,0\n2006-01-05,14:30:00,3653.92,3654.34,3653.59,3654.07,0,0\n2006-01-05,14:35:00,3653.67,3656.00,3653.31,3654.19,0,0\n2006-01-05,14:40:00,3654.18,3654.43,3653.70,3654.19,0,0\n2006-01-05,14:45:00,3653.98,3654.09,3653.33,3653.79,0,0\n2006-01-05,14:50:00,3653.54,3654.80,3653.54,3654.20,0,0\n2006-01-05,14:55:00,3654.17,3655.48,3654.17,3654.92,0,0\n2006-01-05,15:00:00,3654.82,3654.82,3654.13,3654.42,0,0\n2006-01-05,15:05:00,3654.63,3655.14,3653.67,3654.29,0,0\n2006-01-05,15:10:00,3654.15,3655.06,3654.15,3654.43,0,0\n2006-01-05,15:15:00,3654.53,3656.66,3654.30,3654.56,0,0\n2006-01-05,15:20:00,3654.74,3655.97,3654.71,3655.70,0,0\n2006-01-05,15:25:00,3655.31,3655.46,3654.01,3654.31,0,0\n2006-01-05,15:30:00,3654.39,3655.07,3654.19,3654.78,0,0\n2006-01-05,15:35:00,3654.93,3657.34,3654.21,3657.03,0,0\n2006-01-05,15:40:00,3657.71,3658.44,3656.67,3658.44,0,0\n2006-01-05,15:45:00,3658.99,3659.16,3657.14,3658.36,0,0\n2006-01-05,15:50:00,3658.37,3661.65,3658.28,3659.76,0,0\n2006-01-05,15:55:00,3659.47,3659.63,3654.78,3655.43,0,0\n2006-01-05,16:00:00,3655.67,3656.50,3654.28,3656.36,0,0\n2006-01-05,16:05:00,3655.97,3656.82,3654.79,3656.19,0,0\n2006-01-05,16:10:00,3656.41,3660.92,3656.41,3658.77,0,0\n2006-01-05,16:15:00,3658.84,3658.94,3657.76,3658.68,0,0\n2006-01-05,16:20:00,3659.12,3659.12,3657.14,3657.93,0,0\n2006-01-05,16:25:00,3658.23,3659.65,3657.80,3658.46,0,0\n2006-01-05,16:30:00,3658.35,3658.37,3654.57,3654.57,0,0\n2006-01-05,16:35:00,3654.02,3655.37,3650.70,3650.70,0,0\n2006-01-05,16:40:00,3650.36,3652.00,3645.83,3645.83,0,0\n2006-01-05,16:45:00,3645.66,3646.03,3643.74,3644.81,0,0\n2006-01-05,16:50:00,3645.42,3647.16,3645.42,3646.57,0,0\n2006-01-05,16:55:00,3646.99,3649.05,3646.61,3647.16,0,0\n2006-01-05,17:00:00,3646.80,3647.03,3644.85,3646.99,0,0\n2006-01-05,17:05:00,3647.10,3650.33,3647.10,3649.49,0,0\n2006-01-05,17:10:00,3649.61,3649.70,3645.85,3649.11,0,0\n2006-01-05,17:15:00,3649.13,3649.48,3647.88,3649.34,0,0\n2006-01-05,17:20:00,3649.18,3651.90,3649.18,3650.13,0,0\n2006-01-05,17:25:00,3650.27,3650.38,3648.92,3648.92,0,0\n2006-01-05,17:30:00,3648.85,3650.32,3648.27,3650.24,0,0\n2006-01-06,09:05:00,3650.54,3653.70,3650.54,3653.70,0,0\n2006-01-06,09:10:00,3653.83,3655.18,3650.68,3650.68,0,0\n2006-01-06,09:15:00,3650.98,3653.21,3650.07,3653.07,0,0\n2006-01-06,09:20:00,3652.62,3653.11,3649.71,3649.87,0,0\n2006-01-06,09:25:00,3649.47,3650.48,3648.57,3650.48,0,0\n2006-01-06,09:30:00,3650.53,3650.89,3649.38,3650.65,0,0\n2006-01-06,09:35:00,3650.99,3651.02,3647.66,3649.20,0,0\n2006-01-06,09:40:00,3649.24,3650.43,3648.84,3650.22,0,0\n2006-01-06,09:45:00,3650.14,3650.32,3649.28,3649.28,0,0\n2006-01-06,09:50:00,3648.91,3649.80,3648.50,3649.80,0,0\n2006-01-06,09:55:00,3649.71,3650.80,3649.64,3650.80,0,0\n2006-01-06,10:00:00,3650.77,3650.90,3649.42,3649.63,0,0\n2006-01-06,10:05:00,3649.48,3649.79,3647.91,3649.79,0,0\n2006-01-06,10:10:00,3649.67,3651.20,3649.60,3650.98,0,0\n2006-01-06,10:15:00,3650.80,3651.21,3649.88,3649.88,0,0\n2006-01-06,10:20:00,3649.97,3651.54,3649.97,3651.27,0,0\n2006-01-06,10:25:00,3651.13,3651.32,3649.92,3649.93,0,0\n2006-01-06,10:30:00,3649.98,3650.18,3649.47,3650.18,0,0\n2006-01-06,10:35:00,3649.85,3651.10,3649.85,3650.86,0,0\n2006-01-06,10:40:00,3650.54,3652.64,3650.54,3652.58,0,0\n2006-01-06,10:45:00,3652.47,3653.21,3652.47,3653.12,0,0\n2006-01-06,10:50:00,3653.08,3653.39,3652.65,3652.77,0,0\n2006-01-06,10:55:00,3652.71,3653.52,3652.54,3652.69,0,0\n2006-01-06,11:00:00,3652.54,3653.09,3652.54,3653.03,0,0\n2006-01-06,11:05:00,3652.88,3654.00,3652.88,3653.62,0,0\n2006-01-06,11:10:00,3653.35,3653.51,3652.04,3652.37,0,0\n2006-01-06,11:15:00,3652.08,3652.53,3651.50,3652.53,0,0\n2006-01-06,11:20:00,3652.46,3653.28,3652.44,3653.28,0,0\n2006-01-06,11:25:00,3653.33,3653.89,3652.90,3653.33,0,0\n2006-01-06,11:30:00,3653.35,3654.93,3653.35,3654.56,0,0\n2006-01-06,11:35:00,3654.53,3655.48,3654.52,3654.93,0,0\n2006-01-06,11:40:00,3654.95,3655.31,3654.60,3654.82,0,0\n2006-01-06,11:45:00,3654.75,3655.55,3654.65,3655.55,0,0\n2006-01-06,11:50:00,3655.75,3655.75,3655.18,3655.41,0,0\n2006-01-06,11:55:00,3655.59,3656.11,3655.44,3655.89,0,0\n2006-01-06,12:00:00,3655.89,3656.28,3655.27,3655.30,0,0\n2006-01-06,12:05:00,3655.86,3656.09,3655.16,3655.88,0,0\n2006-01-06,12:10:00,3656.01,3656.47,3655.72,3656.03,0,0\n2006-01-06,12:15:00,3655.89,3655.89,3654.85,3655.15,0,0\n2006-01-06,12:20:00,3655.20,3655.20,3654.67,3654.81,0,0\n2006-01-06,12:25:00,3654.91,3655.20,3654.49,3654.49,0,0\n2006-01-06,12:30:00,3654.38,3654.44,3653.69,3653.85,0,0\n2006-01-06,12:35:00,3653.88,3654.24,3653.61,3653.61,0,0\n2006-01-06,12:40:00,3653.96,3654.71,3653.91,3654.27,0,0\n2006-01-06,12:45:00,3654.41,3655.00,3654.04,3655.00,0,0\n2006-01-06,12:50:00,3654.79,3655.23,3654.50,3655.23,0,0\n2006-01-06,12:55:00,3654.99,3655.26,3654.71,3655.14,0,0\n2006-01-06,13:00:00,3655.13,3655.50,3655.08,3655.45,0,0\n2006-01-06,13:05:00,3655.57,3655.57,3655.05,3655.19,0,0\n2006-01-06,13:10:00,3655.07,3655.07,3654.53,3654.55,0,0\n2006-01-06,13:15:00,3654.50,3655.08,3654.34,3655.08,0,0\n2006-01-06,13:20:00,3655.25,3655.42,3654.93,3655.26,0,0\n2006-01-06,13:25:00,3655.26,3658.19,3655.13,3658.19,0,0\n2006-01-06,13:30:00,3658.61,3660.66,3658.61,3660.65,0,0\n2006-01-06,13:35:00,3660.71,3662.60,3660.03,3660.03,0,0\n2006-01-06,13:40:00,3660.04,3660.04,3659.22,3659.37,0,0\n2006-01-06,13:45:00,3659.34,3659.80,3659.23,3659.80,0,0\n2006-01-06,13:50:00,3659.86,3659.86,3659.24,3659.56,0,0\n2006-01-06,13:55:00,3659.30,3659.39,3658.69,3658.93,0,0\n2006-01-06,14:00:00,3659.20,3660.12,3659.05,3660.02,0,0\n2006-01-06,14:05:00,3660.14,3660.56,3660.05,3660.41,0,0\n2006-01-06,14:10:00,3660.39,3660.60,3660.17,3660.36,0,0\n2006-01-06,14:15:00,3660.38,3662.48,3660.33,3662.48,0,0\n2006-01-06,14:20:00,3663.08,3663.74,3662.74,3663.26,0,0\n2006-01-06,14:25:00,3663.52,3663.84,3663.34,3663.41,0,0\n2006-01-06,14:30:00,3663.47,3663.76,3662.45,3662.45,0,0\n2006-01-06,14:35:00,3662.36,3664.54,3657.58,3661.76,0,0\n2006-01-06,14:40:00,3660.89,3661.13,3657.45,3657.45,0,0\n2006-01-06,14:45:00,3656.78,3658.55,3656.03,3657.32,0,0\n2006-01-06,14:50:00,3657.36,3657.72,3656.39,3656.91,0,0\n2006-01-06,14:55:00,3657.19,3659.52,3657.01,3659.52,0,0\n2006-01-06,15:00:00,3659.75,3664.25,3659.75,3664.25,0,0\n2006-01-06,15:05:00,3664.56,3665.18,3662.85,3662.85,0,0\n2006-01-06,15:10:00,3662.72,3662.84,3660.98,3661.27,0,0\n2006-01-06,15:15:00,3661.18,3661.52,3659.44,3660.09,0,0\n2006-01-06,15:20:00,3660.18,3660.84,3660.09,3660.80,0,0\n2006-01-06,15:25:00,3660.98,3661.17,3660.28,3661.17,0,0\n2006-01-06,15:30:00,3661.15,3662.00,3661.15,3661.48,0,0\n2006-01-06,15:35:00,3661.83,3663.08,3661.60,3662.98,0,0\n2006-01-06,15:40:00,3662.93,3662.93,3659.61,3659.63,0,0\n2006-01-06,15:45:00,3659.48,3659.48,3658.02,3658.48,0,0\n2006-01-06,15:50:00,3658.69,3660.13,3657.18,3660.04,0,0\n2006-01-06,15:55:00,3659.77,3660.22,3658.58,3658.60,0,0\n2006-01-06,16:00:00,3658.74,3659.65,3658.01,3659.65,0,0\n2006-01-06,16:05:00,3660.00,3660.00,3655.43,3656.38,0,0\n2006-01-06,16:10:00,3656.42,3656.93,3655.89,3656.02,0,0\n2006-01-06,16:15:00,3656.13,3659.64,3656.13,3659.64,0,0\n2006-01-06,16:20:00,3659.04,3659.63,3657.41,3657.41,0,0\n2006-01-06,16:25:00,3657.42,3659.22,3656.19,3656.68,0,0\n2006-01-06,16:30:00,3656.99,3658.09,3656.61,3658.03,0,0\n2006-01-06,16:35:00,3657.93,3658.82,3657.30,3657.78,0,0\n2006-01-06,16:40:00,3657.86,3658.82,3657.64,3658.52,0,0\n2006-01-06,16:45:00,3658.50,3659.37,3658.07,3659.26,0,0\n2006-01-06,16:50:00,3659.05,3659.27,3657.08,3658.52,0,0\n2006-01-06,16:55:00,3658.99,3659.46,3658.81,3659.11,0,0\n2006-01-06,17:00:00,3659.30,3659.34,3658.00,3659.06,0,0\n2006-01-06,17:05:00,3659.05,3661.22,3659.05,3659.64,0,0\n2006-01-06,17:10:00,3659.80,3660.17,3659.19,3659.23,0,0\n2006-01-06,17:15:00,3659.39,3659.39,3657.62,3658.19,0,0\n2006-01-06,17:20:00,3658.40,3661.06,3658.40,3660.67,0,0\n2006-01-06,17:25:00,3660.90,3663.24,3660.32,3661.99,0,0\n2006-01-06,17:30:00,3662.17,3666.99,3662.04,3666.99,0,0\n2006-01-09,09:05:00,3667.10,3683.29,3667.10,3682.86,0,0\n2006-01-09,09:10:00,3682.20,3685.99,3682.20,3684.58,0,0\n2006-01-09,09:15:00,3684.44,3684.44,3682.23,3682.23,0,0\n2006-01-09,09:20:00,3681.25,3681.25,3678.89,3680.28,0,0\n2006-01-09,09:25:00,3680.71,3682.60,3680.71,3682.60,0,0\n2006-01-09,09:30:00,3682.50,3682.50,3680.36,3681.28,0,0\n2006-01-09,09:35:00,3680.95,3681.09,3679.71,3679.93,0,0\n2006-01-09,09:40:00,3679.86,3679.86,3676.59,3677.85,0,0\n2006-01-09,09:45:00,3678.23,3679.31,3677.64,3679.31,0,0\n2006-01-09,09:50:00,3679.34,3680.56,3678.77,3680.56,0,0\n2006-01-09,09:55:00,3680.56,3682.03,3680.56,3681.19,0,0\n2006-01-09,10:00:00,3680.93,3681.50,3680.05,3680.05,0,0\n2006-01-09,10:05:00,3679.73,3680.41,3678.52,3678.77,0,0\n2006-01-09,10:10:00,3678.38,3679.79,3678.11,3679.17,0,0\n2006-01-09,10:15:00,3678.98,3680.10,3677.68,3677.68,0,0\n2006-01-09,10:20:00,3677.53,3679.11,3677.53,3679.11,0,0\n2006-01-09,10:25:00,3677.66,3677.94,3675.57,3676.07,0,0\n2006-01-09,10:30:00,3675.75,3678.20,3675.75,3678.13,0,0\n2006-01-09,10:35:00,3678.12,3680.85,3677.83,3679.27,0,0\n2006-01-09,10:40:00,3679.28,3679.86,3678.49,3679.86,0,0\n2006-01-09,10:45:00,3679.75,3680.55,3679.75,3680.21,0,0\n2006-01-09,10:50:00,3680.15,3680.80,3679.02,3679.02,0,0\n2006-01-09,10:55:00,3679.28,3681.61,3679.28,3681.38,0,0\n2006-01-09,11:00:00,3681.01,3682.54,3680.67,3680.67,0,0\n2006-01-09,11:05:00,3680.60,3681.04,3678.96,3679.47,0,0\n2006-01-09,11:10:00,3679.54,3680.60,3679.45,3680.12,0,0\n2006-01-09,11:15:00,3680.16,3683.76,3680.16,3683.76,0,0\n2006-01-09,11:20:00,3683.39,3684.92,3683.39,3684.12,0,0\n2006-01-09,11:25:00,3683.73,3685.11,3683.56,3684.95,0,0\n2006-01-09,11:30:00,3684.81,3685.32,3683.41,3683.68,0,0\n2006-01-09,11:35:00,3683.25,3683.66,3682.85,3682.85,0,0\n2006-01-09,11:40:00,3682.60,3683.22,3681.84,3682.05,0,0\n2006-01-09,11:45:00,3682.02,3683.47,3681.95,3683.47,0,0\n2006-01-09,11:50:00,3683.19,3684.63,3683.19,3684.51,0,0\n2006-01-09,11:55:00,3684.10,3684.38,3683.45,3683.68,0,0\n2006-01-09,12:00:00,3683.87,3683.87,3683.05,3683.38,0,0\n2006-01-09,12:05:00,3683.66,3683.66,3682.35,3682.47,0,0\n2006-01-09,12:10:00,3682.34,3682.57,3680.48,3681.37,0,0\n2006-01-09,12:15:00,3681.50,3681.51,3680.40,3680.84,0,0\n2006-01-09,12:20:00,3681.03,3681.21,3677.50,3677.83,0,0\n2006-01-09,12:25:00,3677.75,3678.94,3677.74,3678.82,0,0\n2006-01-09,12:30:00,3679.04,3679.43,3678.75,3678.75,0,0\n2006-01-09,12:35:00,3679.27,3680.33,3678.65,3680.05,0,0\n2006-01-09,12:40:00,3679.98,3681.09,3679.34,3679.34,0,0\n2006-01-09,12:45:00,3678.96,3679.26,3678.02,3678.65,0,0\n2006-01-09,12:50:00,3678.81,3680.06,3678.14,3678.41,0,0\n2006-01-09,12:55:00,3678.05,3678.05,3676.95,3677.46,0,0\n2006-01-09,13:00:00,3677.15,3678.10,3676.93,3677.57,0,0\n2006-01-09,13:05:00,3677.63,3678.13,3677.36,3678.13,0,0\n2006-01-09,13:10:00,3677.77,3678.21,3677.49,3677.77,0,0\n2006-01-09,13:15:00,3677.74,3678.38,3677.74,3678.29,0,0\n2006-01-09,13:20:00,3678.58,3678.62,3678.00,3678.62,0,0\n2006-01-09,13:25:00,3678.70,3679.18,3678.48,3678.54,0,0\n2006-01-09,13:30:00,3678.22,3678.45,3677.80,3677.94,0,0\n2006-01-09,13:35:00,3678.08,3678.23,3677.42,3677.96,0,0\n2006-01-09,13:40:00,3678.07,3678.07,3677.33,3677.65,0,0\n2006-01-09,13:45:00,3677.66,3678.32,3677.29,3677.93,0,0\n2006-01-09,13:50:00,3677.99,3678.91,3677.99,3678.91,0,0\n2006-01-09,13:55:00,3678.85,3679.22,3678.05,3678.05,0,0\n2006-01-09,14:00:00,3677.95,3678.72,3677.90,3678.72,0,0\n2006-01-09,14:05:00,3678.65,3678.69,3678.02,3678.69,0,0\n2006-01-09,14:10:00,3678.92,3679.08,3678.19,3679.08,0,0\n2006-01-09,14:15:00,3678.55,3678.55,3676.54,3677.56,0,0\n2006-01-09,14:20:00,3677.80,3678.85,3677.68,3678.85,0,0\n2006-01-09,14:25:00,3678.80,3679.21,3677.93,3678.87,0,0\n2006-01-09,14:30:00,3678.66,3678.81,3677.39,3678.20,0,0\n2006-01-09,14:35:00,3678.07,3678.73,3677.78,3677.85,0,0\n2006-01-09,14:40:00,3677.86,3678.11,3676.83,3677.13,0,0\n2006-01-09,14:45:00,3677.13,3677.17,3674.06,3674.22,0,0\n2006-01-09,14:50:00,3674.22,3675.48,3674.22,3675.14,0,0\n2006-01-09,14:55:00,3675.11,3675.39,3673.56,3674.61,0,0\n2006-01-09,15:00:00,3674.45,3675.19,3674.45,3674.86,0,0\n2006-01-09,15:05:00,3675.36,3675.38,3671.94,3672.73,0,0\n2006-01-09,15:10:00,3672.68,3674.18,3672.33,3674.18,0,0\n2006-01-09,15:15:00,3673.87,3674.57,3673.51,3674.56,0,0\n2006-01-09,15:20:00,3674.69,3676.31,3674.58,3675.91,0,0\n2006-01-09,15:25:00,3675.98,3676.86,3675.44,3676.76,0,0\n2006-01-09,15:30:00,3676.85,3677.17,3676.51,3676.84,0,0\n2006-01-09,15:35:00,3676.83,3678.59,3676.30,3678.02,0,0\n2006-01-09,15:40:00,3678.25,3678.45,3676.97,3678.45,0,0\n2006-01-09,15:45:00,3678.91,3679.44,3676.82,3677.13,0,0\n2006-01-09,15:50:00,3676.84,3677.69,3675.84,3676.68,0,0\n2006-01-09,15:55:00,3676.91,3676.91,3675.55,3675.85,0,0\n2006-01-09,16:00:00,3675.68,3676.89,3672.82,3673.17,0,0\n2006-01-09,16:05:00,3673.29,3674.13,3670.78,3670.78,0,0\n2006-01-09,16:10:00,3670.99,3672.94,3670.40,3672.94,0,0\n2006-01-09,16:15:00,3672.86,3674.33,3672.41,3674.33,0,0\n2006-01-09,16:20:00,3674.29,3676.63,3674.03,3675.83,0,0\n2006-01-09,16:25:00,3675.94,3676.08,3674.05,3674.22,0,0\n2006-01-09,16:30:00,3673.99,3675.27,3673.71,3674.39,0,0\n2006-01-09,16:35:00,3674.54,3676.04,3673.56,3675.07,0,0\n2006-01-09,16:40:00,3675.01,3675.17,3673.90,3675.06,0,0\n2006-01-09,16:45:00,3674.52,3675.02,3673.10,3675.02,0,0\n2006-01-09,16:50:00,3674.73,3676.70,3674.72,3676.70,0,0\n2006-01-09,16:55:00,3676.43,3677.19,3673.46,3673.46,0,0\n2006-01-09,17:00:00,3673.46,3674.22,3673.29,3673.29,0,0\n2006-01-09,17:05:00,3672.96,3673.55,3671.93,3672.30,0,0\n2006-01-09,17:10:00,3672.44,3673.06,3671.98,3673.06,0,0\n2006-01-09,17:15:00,3673.38,3673.87,3673.03,3673.13,0,0\n2006-01-09,17:20:00,3672.90,3673.11,3671.63,3671.90,0,0\n2006-01-09,17:25:00,3672.17,3673.13,3671.98,3672.50,0,0\n2006-01-09,17:30:00,3672.72,3673.98,3671.75,3671.78,0,0\n2006-01-10,09:05:00,3671.23,3671.23,3659.49,3660.84,0,0\n2006-01-10,09:10:00,3661.04,3661.67,3658.97,3661.05,0,0\n2006-01-10,09:15:00,3660.94,3662.52,3660.94,3661.85,0,0\n2006-01-10,09:20:00,3662.00,3662.34,3658.08,3658.39,0,0\n2006-01-10,09:25:00,3658.75,3659.87,3657.53,3658.01,0,0\n2006-01-10,09:30:00,3657.74,3659.52,3656.70,3658.22,0,0\n2006-01-10,09:35:00,3657.92,3660.62,3657.71,3660.62,0,0\n2006-01-10,09:40:00,3661.06,3662.37,3661.06,3661.27,0,0\n2006-01-10,09:45:00,3660.94,3661.66,3659.16,3659.16,0,0\n2006-01-10,09:50:00,3658.99,3659.14,3651.00,3651.00,0,0\n2006-01-10,09:55:00,3651.34,3651.34,3648.83,3650.79,0,0\n2006-01-10,10:00:00,3651.43,3651.69,3650.11,3650.11,0,0\n2006-01-10,10:05:00,3650.15,3650.69,3648.24,3650.55,0,0\n2006-01-10,10:10:00,3650.84,3651.56,3650.14,3650.62,0,0\n2006-01-10,10:15:00,3649.94,3650.49,3645.96,3647.00,0,0\n2006-01-10,10:20:00,3646.88,3648.89,3646.57,3648.69,0,0\n2006-01-10,10:25:00,3648.40,3648.80,3646.88,3646.94,0,0\n2006-01-10,10:30:00,3646.83,3647.85,3645.81,3647.68,0,0\n2006-01-10,10:35:00,3647.56,3648.07,3646.32,3646.32,0,0\n2006-01-10,10:40:00,3646.32,3648.15,3646.32,3647.94,0,0\n2006-01-10,10:45:00,3647.90,3648.66,3647.61,3647.78,0,0\n2006-01-10,10:50:00,3647.55,3647.76,3645.66,3645.66,0,0\n2006-01-10,10:55:00,3645.84,3647.47,3645.71,3647.29,0,0\n2006-01-10,11:00:00,3647.24,3648.42,3646.79,3648.10,0,0\n2006-01-10,11:05:00,3647.81,3650.03,3647.67,3648.73,0,0\n2006-01-10,11:10:00,3648.80,3648.80,3646.89,3646.99,0,0\n2006-01-10,11:15:00,3646.88,3646.88,3644.99,3645.43,0,0\n2006-01-10,11:20:00,3646.09,3647.91,3646.09,3646.95,0,0\n2006-01-10,11:25:00,3647.46,3647.49,3644.51,3644.51,0,0\n2006-01-10,11:30:00,3644.80,3644.93,3639.82,3641.04,0,0\n2006-01-10,11:35:00,3640.58,3641.28,3638.77,3641.09,0,0\n2006-01-10,11:40:00,3641.00,3641.62,3640.25,3641.16,0,0\n2006-01-10,11:45:00,3640.87,3643.43,3640.87,3642.94,0,0\n2006-01-10,11:50:00,3642.80,3643.07,3641.75,3642.79,0,0\n2006-01-10,11:55:00,3642.56,3642.90,3642.18,3642.90,0,0\n2006-01-10,12:00:00,3642.51,3644.06,3642.44,3644.06,0,0\n2006-01-10,12:05:00,3642.84,3644.23,3641.89,3642.40,0,0\n2006-01-10,12:10:00,3642.55,3644.57,3642.55,3644.57,0,0\n2006-01-10,12:15:00,3644.35,3644.94,3643.56,3643.77,0,0\n2006-01-10,12:20:00,3644.23,3644.54,3643.81,3644.00,0,0\n2006-01-10,12:25:00,3644.24,3644.92,3644.09,3644.09,0,0\n2006-01-10,12:30:00,3644.36,3644.81,3642.28,3642.57,0,0\n2006-01-10,12:35:00,3642.51,3642.51,3640.74,3640.74,0,0\n2006-01-10,12:40:00,3640.96,3641.11,3640.31,3640.91,0,0\n2006-01-10,12:45:00,3641.05,3641.69,3641.05,3641.50,0,0\n2006-01-10,12:50:00,3641.56,3641.99,3641.21,3641.99,0,0\n2006-01-10,12:55:00,3641.68,3642.49,3641.53,3641.97,0,0\n2006-01-10,13:00:00,3641.91,3644.09,3641.91,3643.93,0,0\n2006-01-10,13:05:00,3643.99,3645.49,3643.56,3645.03,0,0\n2006-01-10,13:10:00,3645.19,3647.02,3645.19,3646.80,0,0\n2006-01-10,13:15:00,3646.94,3647.38,3646.71,3647.05,0,0\n2006-01-10,13:20:00,3646.98,3647.13,3646.50,3646.59,0,0\n2006-01-10,13:25:00,3646.47,3647.18,3646.37,3646.96,0,0\n2006-01-10,13:30:00,3646.76,3646.76,3644.94,3645.37,0,0\n2006-01-10,13:35:00,3645.40,3645.87,3645.03,3645.61,0,0\n2006-01-10,13:40:00,3645.74,3646.87,3645.69,3646.87,0,0\n2006-01-10,13:45:00,3646.53,3646.67,3645.98,3646.42,0,0\n2006-01-10,13:50:00,3646.25,3646.72,3645.57,3645.76,0,0\n2006-01-10,13:55:00,3645.92,3646.24,3645.36,3645.53,0,0\n2006-01-10,14:00:00,3644.91,3645.24,3644.44,3644.98,0,0\n2006-01-10,14:05:00,3645.31,3646.13,3645.19,3645.94,0,0\n2006-01-10,14:10:00,3645.48,3645.56,3642.32,3642.90,0,0\n2006-01-10,14:15:00,3642.67,3643.79,3641.49,3643.49,0,0\n2006-01-10,14:20:00,3643.26,3643.63,3641.73,3642.37,0,0\n2006-01-10,14:25:00,3642.54,3642.98,3641.03,3641.94,0,0\n2006-01-10,14:30:00,3641.96,3642.95,3641.60,3642.95,0,0\n2006-01-10,14:35:00,3642.55,3643.28,3642.31,3643.09,0,0\n2006-01-10,14:40:00,3643.00,3643.37,3642.42,3642.71,0,0\n2006-01-10,14:45:00,3642.82,3642.88,3641.44,3641.56,0,0\n2006-01-10,14:50:00,3641.59,3642.36,3641.59,3642.14,0,0\n2006-01-10,14:55:00,3642.04,3642.33,3641.81,3641.88,0,0\n2006-01-10,15:00:00,3641.97,3643.11,3641.92,3643.11,0,0\n2006-01-10,15:05:00,3643.01,3643.01,3641.85,3641.93,0,0\n2006-01-10,15:10:00,3642.07,3642.99,3641.95,3642.29,0,0\n2006-01-10,15:15:00,3642.49,3642.49,3639.16,3639.20,0,0\n2006-01-10,15:20:00,3639.48,3644.31,3639.33,3644.31,0,0\n2006-01-10,15:25:00,3644.56,3644.86,3644.02,3644.45,0,0\n2006-01-10,15:30:00,3644.11,3644.58,3643.75,3644.30,0,0\n2006-01-10,15:35:00,3644.54,3645.49,3643.64,3645.49,0,0\n2006-01-10,15:40:00,3645.41,3646.52,3644.47,3646.52,0,0\n2006-01-10,15:45:00,3646.73,3647.80,3645.21,3647.80,0,0\n2006-01-10,15:50:00,3647.78,3647.78,3645.91,3646.45,0,0\n2006-01-10,15:55:00,3646.69,3646.69,3643.96,3643.96,0,0\n2006-01-10,16:00:00,3644.35,3644.76,3644.01,3644.76,0,0\n2006-01-10,16:05:00,3645.02,3648.73,3644.76,3648.73,0,0\n2006-01-10,16:10:00,3648.93,3648.93,3646.70,3647.25,0,0\n2006-01-10,16:15:00,3647.62,3650.43,3647.62,3650.43,0,0\n2006-01-10,16:20:00,3649.38,3651.24,3649.31,3650.31,0,0\n2006-01-10,16:25:00,3649.13,3652.06,3649.02,3652.06,0,0\n2006-01-10,16:30:00,3651.85,3652.01,3650.16,3650.21,0,0\n2006-01-10,16:35:00,3650.21,3651.22,3649.88,3650.72,0,0\n2006-01-10,16:40:00,3650.77,3652.88,3650.55,3652.88,0,0\n2006-01-10,16:45:00,3653.40,3653.53,3652.00,3652.00,0,0\n2006-01-10,16:50:00,3650.73,3651.21,3650.28,3651.04,0,0\n2006-01-10,16:55:00,3651.06,3652.03,3650.50,3650.70,0,0\n2006-01-10,17:00:00,3650.73,3652.29,3650.34,3651.03,0,0\n2006-01-10,17:05:00,3651.23,3651.80,3647.75,3647.75,0,0\n2006-01-10,17:10:00,3648.35,3648.44,3645.69,3645.96,0,0\n2006-01-10,17:15:00,3645.80,3646.97,3645.80,3646.23,0,0\n2006-01-10,17:20:00,3646.47,3647.98,3645.99,3647.27,0,0\n2006-01-10,17:25:00,3647.34,3648.75,3647.34,3648.42,0,0\n2006-01-10,17:30:00,3648.22,3648.34,3644.94,3644.94,0,0\n2006-01-11,09:05:00,3645.73,3666.44,3645.73,3666.44,0,0\n2006-01-11,09:10:00,3666.49,3668.77,3666.49,3668.77,0,0\n2006-01-11,09:15:00,3669.52,3669.52,3665.40,3667.29,0,0\n2006-01-11,09:20:00,3666.83,3669.24,3665.75,3665.75,0,0\n2006-01-11,09:25:00,3665.89,3668.68,3665.17,3665.17,0,0\n2006-01-11,09:30:00,3665.10,3665.10,3662.27,3663.66,0,0\n2006-01-11,09:35:00,3663.67,3664.48,3663.24,3663.56,0,0\n2006-01-11,09:40:00,3664.09,3664.09,3662.48,3663.55,0,0\n2006-01-11,09:45:00,3663.55,3666.19,3663.19,3665.61,0,0\n2006-01-11,09:50:00,3665.49,3665.49,3664.41,3664.80,0,0\n2006-01-11,09:55:00,3666.01,3666.01,3663.41,3663.88,0,0\n2006-01-11,10:00:00,3664.04,3666.15,3663.51,3665.51,0,0\n2006-01-11,10:05:00,3665.76,3667.95,3665.34,3667.76,0,0\n2006-01-11,10:10:00,3667.82,3667.82,3666.12,3666.26,0,0\n2006-01-11,10:15:00,3666.26,3666.66,3665.79,3666.54,0,0\n2006-01-11,10:20:00,3666.28,3667.72,3666.28,3666.77,0,0\n2006-01-11,10:25:00,3666.45,3666.52,3665.21,3665.40,0,0\n2006-01-11,10:30:00,3665.51,3666.56,3665.07,3666.48,0,0\n2006-01-11,10:35:00,3666.24,3666.24,3664.00,3664.71,0,0\n2006-01-11,10:40:00,3664.58,3666.43,3664.48,3665.98,0,0\n2006-01-11,10:45:00,3665.57,3666.14,3665.57,3665.60,0,0\n2006-01-11,10:50:00,3665.53,3665.82,3664.76,3665.13,0,0\n2006-01-11,10:55:00,3665.26,3665.47,3664.51,3665.33,0,0\n2006-01-11,11:00:00,3665.86,3667.13,3665.47,3665.80,0,0\n2006-01-11,11:05:00,3665.44,3665.74,3665.02,3665.26,0,0\n2006-01-11,11:10:00,3665.44,3666.44,3665.44,3666.26,0,0\n2006-01-11,11:15:00,3666.03,3667.39,3665.27,3666.71,0,0\n2006-01-11,11:20:00,3667.21,3669.97,3667.21,3669.97,0,0\n2006-01-11,11:25:00,3669.58,3670.21,3669.58,3669.81,0,0\n2006-01-11,11:30:00,3670.01,3671.27,3669.93,3670.89,0,0\n2006-01-11,11:35:00,3671.17,3671.48,3669.96,3671.33,0,0\n2006-01-11,11:40:00,3671.15,3671.48,3669.99,3670.36,0,0\n2006-01-11,11:45:00,3670.79,3671.09,3670.38,3670.90,0,0\n2006-01-11,11:50:00,3670.72,3670.81,3669.88,3670.70,0,0\n2006-01-11,11:55:00,3670.52,3671.11,3670.22,3670.93,0,0\n2006-01-11,12:00:00,3670.76,3673.70,3670.76,3673.70,0,0\n2006-01-11,12:05:00,3671.38,3674.31,3671.38,3672.84,0,0\n2006-01-11,12:10:00,3672.70,3673.29,3672.36,3672.41,0,0\n2006-01-11,12:15:00,3672.09,3672.44,3671.79,3672.24,0,0\n2006-01-11,12:20:00,3671.99,3672.56,3671.95,3672.42,0,0\n2006-01-11,12:25:00,3672.24,3673.13,3672.24,3672.44,0,0\n2006-01-11,12:30:00,3672.40,3672.95,3672.35,3672.73,0,0\n2006-01-11,12:35:00,3672.72,3672.89,3672.36,3672.76,0,0\n2006-01-11,12:40:00,3672.82,3672.82,3669.37,3669.67,0,0\n2006-01-11,12:45:00,3669.82,3670.15,3669.47,3670.15,0,0\n2006-01-11,12:50:00,3670.00,3670.46,3669.42,3669.42,0,0\n2006-01-11,12:55:00,3669.29,3669.92,3669.23,3669.58,0,0\n2006-01-11,13:00:00,3669.54,3669.67,3668.70,3669.33,0,0\n2006-01-11,13:05:00,3669.25,3669.25,3667.29,3667.46,0,0\n2006-01-11,13:10:00,3667.33,3667.33,3665.21,3665.21,0,0\n2006-01-11,13:15:00,3664.68,3665.53,3664.15,3665.39,0,0\n2006-01-11,13:20:00,3665.36,3665.36,3664.51,3664.55,0,0\n2006-01-11,13:25:00,3664.33,3664.60,3663.29,3663.29,0,0\n2006-01-11,13:30:00,3663.19,3663.57,3662.83,3663.30,0,0\n2006-01-11,13:35:00,3663.23,3663.72,3660.34,3660.54,0,0\n2006-01-11,13:40:00,3660.68,3662.14,3659.87,3662.14,0,0\n2006-01-11,13:45:00,3662.46,3665.14,3662.30,3664.90,0,0\n2006-01-11,13:50:00,3665.03,3665.27,3664.05,3664.15,0,0\n2006-01-11,13:55:00,3663.99,3664.87,3663.90,3664.75,0,0\n2006-01-11,14:00:00,3664.84,3665.60,3664.25,3665.17,0,0\n2006-01-11,14:05:00,3665.17,3665.17,3664.35,3664.64,0,0\n2006-01-11,14:10:00,3664.59,3664.59,3663.78,3664.03,0,0\n2006-01-11,14:15:00,3663.88,3664.47,3663.75,3664.15,0,0\n2006-01-11,14:20:00,3664.28,3664.54,3663.73,3663.98,0,0\n2006-01-11,14:25:00,3664.08,3664.09,3662.43,3662.76,0,0\n2006-01-11,14:30:00,3662.84,3663.32,3662.32,3663.32,0,0\n2006-01-11,14:35:00,3663.43,3663.43,3662.55,3663.09,0,0\n2006-01-11,14:40:00,3662.73,3663.25,3662.06,3663.25,0,0\n2006-01-11,14:45:00,3663.49,3665.02,3663.43,3664.70,0,0\n2006-01-11,14:50:00,3664.85,3665.32,3664.39,3664.75,0,0\n2006-01-11,14:55:00,3664.66,3665.46,3664.50,3665.23,0,0\n2006-01-11,15:00:00,3665.28,3665.79,3665.13,3665.54,0,0\n2006-01-11,15:05:00,3665.32,3665.32,3662.77,3663.19,0,0\n2006-01-11,15:10:00,3663.20,3663.64,3663.03,3663.50,0,0\n2006-01-11,15:15:00,3663.72,3663.81,3663.35,3663.47,0,0\n2006-01-11,15:20:00,3663.48,3663.58,3662.50,3663.45,0,0\n2006-01-11,15:25:00,3662.98,3663.01,3661.85,3662.05,0,0\n2006-01-11,15:30:00,3662.14,3662.61,3661.88,3662.17,0,0\n2006-01-11,15:35:00,3662.54,3662.54,3659.13,3659.49,0,0\n2006-01-11,15:40:00,3659.60,3659.67,3656.12,3656.12,0,0\n2006-01-11,15:45:00,3656.14,3656.46,3655.07,3655.89,0,0\n2006-01-11,15:50:00,3656.11,3657.02,3654.91,3656.58,0,0\n2006-01-11,15:55:00,3656.64,3656.97,3655.42,3655.58,0,0\n2006-01-11,16:00:00,3655.92,3658.21,3655.79,3657.52,0,0\n2006-01-11,16:05:00,3658.05,3659.29,3656.77,3658.09,0,0\n2006-01-11,16:10:00,3658.66,3660.50,3658.66,3658.67,0,0\n2006-01-11,16:15:00,3658.77,3659.89,3658.34,3659.89,0,0\n2006-01-11,16:20:00,3660.21,3663.92,3659.10,3662.77,0,0\n2006-01-11,16:25:00,3662.56,3664.62,3662.37,3664.39,0,0\n2006-01-11,16:30:00,3664.48,3664.48,3662.96,3663.61,0,0\n2006-01-11,16:35:00,3663.75,3664.20,3659.79,3659.79,0,0\n2006-01-11,16:40:00,3658.41,3660.99,3658.01,3660.99,0,0\n2006-01-11,16:45:00,3661.09,3661.44,3659.48,3659.94,0,0\n2006-01-11,16:50:00,3660.43,3661.01,3658.75,3659.51,0,0\n2006-01-11,16:55:00,3659.69,3659.84,3656.30,3656.30,0,0\n2006-01-11,17:00:00,3656.23,3657.94,3655.76,3657.94,0,0\n2006-01-11,17:05:00,3658.26,3658.34,3656.81,3657.87,0,0\n2006-01-11,17:10:00,3658.14,3660.82,3658.13,3660.82,0,0\n2006-01-11,17:15:00,3660.98,3661.25,3660.47,3661.05,0,0\n2006-01-11,17:20:00,3661.96,3664.62,3661.96,3664.00,0,0\n2006-01-11,17:25:00,3663.94,3663.98,3662.72,3663.74,0,0\n2006-01-11,17:30:00,3663.25,3668.61,3663.25,3668.61,0,0\n2006-01-12,09:05:00,3667.16,3667.49,3659.17,3660.16,0,0\n2006-01-12,09:10:00,3660.39,3662.88,3658.48,3662.88,0,0\n2006-01-12,09:15:00,3663.02,3667.28,3663.02,3666.64,0,0\n2006-01-12,09:20:00,3666.38,3668.57,3666.38,3668.31,0,0\n2006-01-12,09:25:00,3668.66,3669.98,3667.79,3667.95,0,0\n2006-01-12,09:30:00,3668.00,3668.71,3666.44,3666.44,0,0\n2006-01-12,09:35:00,3666.82,3666.82,3665.24,3665.24,0,0\n2006-01-12,09:40:00,3665.00,3665.96,3664.23,3665.79,0,0\n2006-01-12,09:45:00,3665.51,3666.44,3664.82,3665.28,0,0\n2006-01-12,09:50:00,3665.70,3665.77,3663.97,3663.97,0,0\n2006-01-12,09:55:00,3663.86,3664.22,3661.23,3661.66,0,0\n2006-01-12,10:00:00,3661.41,3662.72,3661.41,3662.13,0,0\n2006-01-12,10:05:00,3661.64,3662.89,3661.64,3662.05,0,0\n2006-01-12,10:10:00,3661.84,3661.84,3659.92,3660.66,0,0\n2006-01-12,10:15:00,3661.50,3662.11,3661.24,3661.33,0,0\n2006-01-12,10:20:00,3661.27,3664.88,3661.27,3664.19,0,0\n2006-01-12,10:25:00,3663.76,3663.78,3662.00,3662.23,0,0\n2006-01-12,10:30:00,3662.05,3663.82,3662.05,3663.82,0,0\n2006-01-12,10:35:00,3663.48,3664.35,3663.22,3663.68,0,0\n2006-01-12,10:40:00,3663.65,3667.03,3663.56,3667.03,0,0\n2006-01-12,10:45:00,3667.16,3667.38,3665.59,3665.73,0,0\n2006-01-12,10:50:00,3665.95,3666.73,3665.69,3666.36,0,0\n2006-01-12,10:55:00,3666.34,3666.83,3665.95,3666.82,0,0\n2006-01-12,11:00:00,3666.65,3666.65,3665.70,3665.73,0,0\n2006-01-12,11:05:00,3665.93,3666.57,3665.78,3665.90,0,0\n2006-01-12,11:10:00,3665.88,3666.60,3665.46,3666.24,0,0\n2006-01-12,11:15:00,3665.99,3666.35,3662.53,3662.53,0,0\n2006-01-12,11:20:00,3662.61,3662.61,3661.08,3661.39,0,0\n2006-01-12,11:25:00,3661.27,3663.80,3661.26,3663.32,0,0\n2006-01-12,11:30:00,3663.50,3664.74,3663.50,3664.54,0,0\n2006-01-12,11:35:00,3664.41,3664.41,3663.28,3663.50,0,0\n2006-01-12,11:40:00,3663.33,3663.86,3663.11,3663.41,0,0\n2006-01-12,11:45:00,3663.51,3663.73,3663.03,3663.24,0,0\n2006-01-12,11:50:00,3663.30,3663.96,3663.03,3663.14,0,0\n2006-01-12,11:55:00,3663.26,3663.75,3663.07,3663.07,0,0\n2006-01-12,12:00:00,3663.30,3663.64,3662.48,3663.27,0,0\n2006-01-12,12:05:00,3663.10,3664.45,3663.10,3664.21,0,0\n2006-01-12,12:10:00,3663.93,3663.93,3662.79,3662.79,0,0\n2006-01-12,12:15:00,3663.06,3663.88,3662.45,3663.73,0,0\n2006-01-12,12:20:00,3663.70,3663.70,3662.37,3662.41,0,0\n2006-01-12,12:25:00,3662.18,3662.18,3660.84,3660.84,0,0\n2006-01-12,12:30:00,3660.77,3660.77,3659.25,3660.11,0,0\n2006-01-12,12:35:00,3660.07,3660.82,3659.39,3659.68,0,0\n2006-01-12,12:40:00,3659.73,3659.73,3658.95,3659.64,0,0\n2006-01-12,12:45:00,3659.77,3659.95,3659.44,3659.53,0,0\n2006-01-12,12:50:00,3659.37,3660.64,3659.25,3659.88,0,0\n2006-01-12,12:55:00,3659.76,3660.71,3659.59,3660.56,0,0\n2006-01-12,13:00:00,3660.59,3660.67,3659.85,3660.44,0,0\n2006-01-12,13:05:00,3660.26,3660.87,3659.09,3659.09,0,0\n2006-01-12,13:10:00,3659.01,3659.60,3658.64,3659.07,0,0\n2006-01-12,13:15:00,3658.77,3658.94,3656.99,3657.27,0,0\n2006-01-12,13:20:00,3657.09,3658.00,3657.00,3657.71,0,0\n2006-01-12,13:25:00,3657.75,3658.55,3657.36,3658.43,0,0\n2006-01-12,13:30:00,3658.48,3658.91,3658.44,3658.77,0,0\n2006-01-12,13:35:00,3658.74,3658.88,3658.37,3658.37,0,0\n2006-01-12,13:40:00,3658.35,3658.65,3658.04,3658.22,0,0\n2006-01-12,13:45:00,3658.21,3658.63,3657.76,3657.76,0,0\n2006-01-12,13:50:00,3657.76,3657.90,3657.48,3657.63,0,0\n2006-01-12,13:55:00,3657.75,3659.01,3657.69,3658.54,0,0\n2006-01-12,14:00:00,3658.65,3659.08,3658.19,3658.19,0,0\n2006-01-12,14:05:00,3658.41,3659.47,3658.24,3659.31,0,0\n2006-01-12,14:10:00,3659.39,3659.41,3658.65,3659.41,0,0\n2006-01-12,14:15:00,3659.70,3661.43,3659.47,3661.26,0,0\n2006-01-12,14:20:00,3661.60,3661.61,3660.48,3661.04,0,0\n2006-01-12,14:25:00,3661.12,3661.66,3660.74,3661.25,0,0\n2006-01-12,14:30:00,3661.01,3661.81,3660.36,3661.81,0,0\n2006-01-12,14:35:00,3661.90,3664.46,3661.90,3662.88,0,0\n2006-01-12,14:40:00,3662.68,3663.73,3662.01,3662.33,0,0\n2006-01-12,14:45:00,3662.57,3662.57,3661.60,3662.19,0,0\n2006-01-12,14:50:00,3661.94,3662.63,3661.91,3662.31,0,0\n2006-01-12,14:55:00,3662.21,3662.88,3661.54,3662.82,0,0\n2006-01-12,15:00:00,3662.73,3664.47,3662.57,3664.31,0,0\n2006-01-12,15:05:00,3664.09,3665.90,3663.85,3665.90,0,0\n2006-01-12,15:10:00,3665.94,3665.95,3664.93,3665.19,0,0\n2006-01-12,15:15:00,3665.31,3665.45,3663.95,3663.95,0,0\n2006-01-12,15:20:00,3663.51,3664.25,3662.89,3663.20,0,0\n2006-01-12,15:25:00,3663.15,3664.71,3663.15,3664.60,0,0\n2006-01-12,15:30:00,3664.39,3664.94,3664.09,3664.48,0,0\n2006-01-12,15:35:00,3664.08,3665.00,3663.98,3664.07,0,0\n2006-01-12,15:40:00,3664.28,3664.28,3662.33,3663.39,0,0\n2006-01-12,15:45:00,3663.41,3663.60,3662.25,3662.97,0,0\n2006-01-12,15:50:00,3663.13,3663.25,3660.81,3661.02,0,0\n2006-01-12,15:55:00,3660.86,3662.46,3660.86,3661.17,0,0\n2006-01-12,16:00:00,3661.14,3662.17,3661.14,3661.85,0,0\n2006-01-12,16:05:00,3661.98,3663.56,3661.98,3663.56,0,0\n2006-01-12,16:10:00,3663.71,3665.47,3663.71,3664.69,0,0\n2006-01-12,16:15:00,3664.69,3665.37,3663.23,3663.36,0,0\n2006-01-12,16:20:00,3663.26,3663.44,3661.63,3662.36,0,0\n2006-01-12,16:25:00,3662.76,3663.90,3662.76,3662.90,0,0\n2006-01-12,16:30:00,3663.50,3665.07,3663.50,3664.68,0,0\n2006-01-12,16:35:00,3664.70,3664.89,3663.09,3663.67,0,0\n2006-01-12,16:40:00,3662.69,3663.26,3661.66,3663.26,0,0\n2006-01-12,16:45:00,3663.31,3663.92,3662.74,3663.92,0,0\n2006-01-12,16:50:00,3663.78,3666.91,3663.78,3666.91,0,0\n2006-01-12,16:55:00,3667.03,3668.99,3666.83,3668.92,0,0\n2006-01-12,17:00:00,3669.64,3671.85,3669.58,3671.85,0,0\n2006-01-12,17:05:00,3672.14,3676.00,3671.88,3675.37,0,0\n2006-01-12,17:10:00,3675.14,3675.14,3671.42,3671.61,0,0\n2006-01-12,17:15:00,3671.78,3673.06,3671.78,3672.73,0,0\n2006-01-12,17:20:00,3672.22,3672.93,3668.87,3669.41,0,0\n2006-01-12,17:25:00,3668.87,3668.96,3667.52,3668.74,0,0\n2006-01-12,17:30:00,3668.78,3670.39,3668.57,3670.20,0,0\n2006-01-13,09:05:00,3670.27,3670.27,3657.31,3658.53,0,0\n2006-01-13,09:10:00,3658.58,3659.26,3657.39,3657.39,0,0\n2006-01-13,09:15:00,3657.65,3657.65,3653.57,3654.15,0,0\n2006-01-13,09:20:00,3654.48,3656.45,3654.48,3654.91,0,0\n2006-01-13,09:25:00,3654.77,3655.27,3651.08,3651.08,0,0\n2006-01-13,09:30:00,3651.57,3652.13,3645.31,3646.64,0,0\n2006-01-13,09:35:00,3647.04,3647.04,3645.59,3646.35,0,0\n2006-01-13,09:40:00,3646.38,3648.00,3645.99,3646.24,0,0\n2006-01-13,09:45:00,3646.43,3646.43,3641.40,3642.63,0,0\n2006-01-13,09:50:00,3642.38,3645.51,3641.97,3645.51,0,0\n2006-01-13,09:55:00,3645.70,3646.23,3644.59,3646.17,0,0\n2006-01-13,10:00:00,3646.04,3646.26,3644.70,3644.70,0,0\n2006-01-13,10:05:00,3644.67,3644.87,3640.20,3640.36,0,0\n2006-01-13,10:10:00,3640.36,3640.42,3636.03,3636.81,0,0\n2006-01-13,10:15:00,3637.18,3638.73,3636.73,3638.27,0,0\n2006-01-13,10:20:00,3637.83,3637.83,3631.91,3635.14,0,0\n2006-01-13,10:25:00,3635.09,3635.92,3634.37,3635.65,0,0\n2006-01-13,10:30:00,3635.77,3637.95,3635.77,3637.01,0,0\n2006-01-13,10:35:00,3636.61,3636.63,3634.77,3635.15,0,0\n2006-01-13,10:40:00,3634.67,3635.60,3634.67,3635.10,0,0\n2006-01-13,10:45:00,3635.67,3636.68,3635.39,3636.43,0,0\n2006-01-13,10:50:00,3636.66,3638.86,3636.66,3638.86,0,0\n2006-01-13,10:55:00,3638.99,3639.23,3636.17,3636.56,0,0\n2006-01-13,11:00:00,3636.29,3636.54,3635.57,3636.40,0,0\n2006-01-13,11:05:00,3636.60,3636.60,3634.79,3635.28,0,0\n2006-01-13,11:10:00,3635.34,3635.34,3632.71,3632.76,0,0\n2006-01-13,11:15:00,3632.77,3635.39,3632.26,3635.39,0,0\n2006-01-13,11:20:00,3635.02,3636.39,3635.01,3636.20,0,0\n2006-01-13,11:25:00,3636.44,3637.06,3635.98,3636.47,0,0\n2006-01-13,11:30:00,3636.91,3637.53,3636.26,3636.68,0,0\n2006-01-13,11:35:00,3636.88,3637.22,3635.77,3636.95,0,0\n2006-01-13,11:40:00,3637.20,3637.20,3636.21,3636.48,0,0\n2006-01-13,11:45:00,3636.60,3637.21,3636.16,3636.29,0,0\n2006-01-13,11:50:00,3636.54,3636.91,3635.61,3636.28,0,0\n2006-01-13,11:55:00,3636.36,3636.36,3635.64,3636.01,0,0\n2006-01-13,12:00:00,3635.97,3636.96,3635.97,3636.82,0,0\n2006-01-13,12:05:00,3636.33,3637.40,3636.33,3636.63,0,0\n2006-01-13,12:10:00,3636.51,3636.51,3635.25,3635.79,0,0\n2006-01-13,12:15:00,3635.80,3636.32,3635.05,3636.22,0,0\n2006-01-13,12:20:00,3636.17,3636.31,3635.59,3635.73,0,0\n2006-01-13,12:25:00,3636.17,3636.78,3635.51,3636.70,0,0\n2006-01-13,12:30:00,3636.71,3636.75,3635.56,3635.87,0,0\n2006-01-13,12:35:00,3635.78,3636.78,3635.78,3636.50,0,0\n2006-01-13,12:40:00,3636.08,3636.67,3635.99,3636.31,0,0\n2006-01-13,12:45:00,3636.43,3636.66,3635.85,3636.43,0,0\n2006-01-13,12:50:00,3636.22,3636.54,3635.77,3636.17,0,0\n2006-01-13,12:55:00,3635.99,3636.98,3635.90,3636.76,0,0\n2006-01-13,13:00:00,3636.43,3636.46,3635.41,3635.75,0,0\n2006-01-13,13:05:00,3635.76,3635.76,3633.33,3633.93,0,0\n2006-01-13,13:10:00,3633.83,3634.25,3632.33,3632.50,0,0\n2006-01-13,13:15:00,3632.41,3633.44,3632.24,3633.40,0,0\n2006-01-13,13:20:00,3633.35,3634.78,3633.17,3634.78,0,0\n2006-01-13,13:25:00,3634.57,3634.74,3634.27,3634.27,0,0\n2006-01-13,13:30:00,3634.23,3634.62,3632.52,3632.52,0,0\n2006-01-13,13:35:00,3632.75,3632.75,3631.68,3631.83,0,0\n2006-01-13,13:40:00,3630.92,3631.17,3627.81,3628.20,0,0\n2006-01-13,13:45:00,3628.20,3628.80,3626.56,3627.20,0,0\n2006-01-13,13:50:00,3627.21,3627.90,3627.21,3627.90,0,0\n2006-01-13,13:55:00,3627.81,3628.48,3627.27,3627.96,0,0\n2006-01-13,14:00:00,3628.96,3631.03,3628.96,3630.73,0,0\n2006-01-13,14:05:00,3630.37,3632.96,3630.24,3632.82,0,0\n2006-01-13,14:10:00,3632.81,3632.81,3627.42,3627.42,0,0\n2006-01-13,14:15:00,3627.42,3628.12,3627.21,3627.83,0,0\n2006-01-13,14:20:00,3627.71,3629.31,3627.56,3629.07,0,0\n2006-01-13,14:25:00,3629.22,3630.69,3629.20,3630.69,0,0\n2006-01-13,14:30:00,3630.79,3631.31,3630.51,3630.52,0,0\n2006-01-13,14:35:00,3630.45,3631.79,3627.70,3631.28,0,0\n2006-01-13,14:40:00,3631.19,3633.85,3631.19,3633.45,0,0\n2006-01-13,14:45:00,3633.73,3634.25,3632.58,3633.10,0,0\n2006-01-13,14:50:00,3633.19,3633.19,3630.85,3631.07,0,0\n2006-01-13,14:55:00,3631.07,3631.83,3630.43,3631.45,0,0\n2006-01-13,15:00:00,3631.56,3632.45,3631.05,3631.05,0,0\n2006-01-13,15:05:00,3631.14,3631.39,3630.35,3630.35,0,0\n2006-01-13,15:10:00,3630.55,3630.98,3630.26,3630.49,0,0\n2006-01-13,15:15:00,3630.82,3631.24,3630.42,3630.56,0,0\n2006-01-13,15:20:00,3630.45,3630.62,3626.95,3627.77,0,0\n2006-01-13,15:25:00,3627.56,3627.77,3627.03,3627.46,0,0\n2006-01-13,15:30:00,3627.46,3627.72,3626.60,3626.74,0,0\n2006-01-13,15:35:00,3626.91,3629.84,3626.91,3629.47,0,0\n2006-01-13,15:40:00,3629.27,3632.98,3629.27,3632.98,0,0\n2006-01-13,15:45:00,3633.14,3633.84,3630.07,3630.07,0,0\n2006-01-13,15:50:00,3629.98,3630.84,3629.27,3629.68,0,0\n2006-01-13,15:55:00,3629.08,3630.54,3628.57,3630.44,0,0\n2006-01-13,16:00:00,3630.53,3631.41,3630.06,3630.79,0,0\n2006-01-13,16:05:00,3630.85,3630.92,3629.02,3629.79,0,0\n2006-01-13,16:10:00,3630.00,3631.55,3629.77,3631.23,0,0\n2006-01-13,16:15:00,3631.05,3631.05,3625.77,3625.77,0,0\n2006-01-13,16:20:00,3625.64,3625.74,3622.65,3623.45,0,0\n2006-01-13,16:25:00,3623.66,3625.40,3622.04,3625.01,0,0\n2006-01-13,16:30:00,3624.73,3624.90,3622.07,3624.50,0,0\n2006-01-13,16:35:00,3624.97,3625.26,3622.28,3624.04,0,0\n2006-01-13,16:40:00,3624.20,3624.55,3623.48,3623.93,0,0\n2006-01-13,16:45:00,3623.85,3623.96,3620.43,3620.43,0,0\n2006-01-13,16:50:00,3619.30,3619.88,3618.06,3618.06,0,0\n2006-01-13,16:55:00,3618.09,3621.61,3618.07,3621.61,0,0\n2006-01-13,17:00:00,3621.45,3622.68,3620.57,3622.55,0,0\n2006-01-13,17:05:00,3622.96,3625.20,3622.71,3624.22,0,0\n2006-01-13,17:10:00,3624.31,3624.66,3623.62,3624.45,0,0\n2006-01-13,17:15:00,3624.68,3628.99,3624.25,3628.16,0,0\n2006-01-13,17:20:00,3628.72,3631.75,3628.72,3630.19,0,0\n2006-01-13,17:25:00,3630.09,3630.23,3628.17,3628.76,0,0\n2006-01-13,17:30:00,3629.19,3630.13,3628.99,3629.25,0,0\n2006-01-16,09:05:00,3628.73,3630.54,3624.88,3630.54,0,0\n2006-01-16,09:10:00,3629.87,3629.87,3623.19,3623.56,0,0\n2006-01-16,09:15:00,3623.29,3623.29,3621.03,3622.68,0,0\n2006-01-16,09:20:00,3622.77,3626.61,3622.41,3626.61,0,0\n2006-01-16,09:25:00,3626.46,3626.64,3625.27,3625.54,0,0\n2006-01-16,09:30:00,3625.88,3627.27,3625.88,3627.06,0,0\n2006-01-16,09:35:00,3626.93,3626.93,3624.53,3624.74,0,0\n2006-01-16,09:40:00,3624.87,3626.76,3624.83,3626.76,0,0\n2006-01-16,09:45:00,3627.08,3628.65,3626.90,3628.29,0,0\n2006-01-16,09:50:00,3628.30,3631.04,3628.30,3631.04,0,0\n2006-01-16,09:55:00,3631.01,3631.36,3628.77,3629.14,0,0\n2006-01-16,10:00:00,3628.20,3628.33,3627.48,3628.09,0,0\n2006-01-16,10:05:00,3628.39,3630.39,3627.98,3630.38,0,0\n2006-01-16,10:10:00,3630.59,3631.41,3630.59,3631.41,0,0\n2006-01-16,10:15:00,3631.42,3632.48,3631.11,3631.11,0,0\n2006-01-16,10:20:00,3631.48,3631.82,3630.81,3631.65,0,0\n2006-01-16,10:25:00,3631.67,3631.67,3630.26,3630.41,0,0\n2006-01-16,10:30:00,3630.80,3634.43,3630.80,3633.49,0,0\n2006-01-16,10:35:00,3633.91,3635.36,3633.91,3634.74,0,0\n2006-01-16,10:40:00,3634.69,3634.69,3633.00,3633.00,0,0\n2006-01-16,10:45:00,3633.16,3634.21,3633.14,3633.31,0,0\n2006-01-16,10:50:00,3633.19,3633.37,3632.70,3632.77,0,0\n2006-01-16,10:55:00,3632.63,3632.63,3631.14,3631.56,0,0\n2006-01-16,11:00:00,3631.62,3632.46,3629.97,3630.24,0,0\n2006-01-16,11:05:00,3630.06,3630.70,3629.69,3630.54,0,0\n2006-01-16,11:10:00,3630.65,3631.38,3630.51,3631.13,0,0\n2006-01-16,11:15:00,3631.49,3632.10,3631.16,3631.80,0,0\n2006-01-16,11:20:00,3631.63,3631.98,3631.45,3631.90,0,0\n2006-01-16,11:25:00,3631.33,3632.32,3631.28,3632.03,0,0\n2006-01-16,11:30:00,3632.24,3633.40,3632.23,3633.22,0,0\n2006-01-16,11:35:00,3633.41,3634.38,3633.17,3634.30,0,0\n2006-01-16,11:40:00,3634.19,3636.01,3634.19,3635.52,0,0\n2006-01-16,11:45:00,3635.79,3635.79,3634.33,3635.52,0,0\n2006-01-16,11:50:00,3635.26,3635.59,3634.95,3635.51,0,0\n2006-01-16,11:55:00,3635.25,3635.46,3634.87,3635.04,0,0\n2006-01-16,12:00:00,3635.10,3635.10,3634.00,3635.01,0,0\n2006-01-16,12:05:00,3634.81,3636.64,3634.81,3636.00,0,0\n2006-01-16,12:10:00,3635.65,3637.11,3635.65,3636.70,0,0\n2006-01-16,12:15:00,3636.73,3636.78,3635.84,3635.84,0,0\n2006-01-16,12:20:00,3635.86,3636.42,3635.40,3636.12,0,0\n2006-01-16,12:25:00,3636.23,3636.51,3636.13,3636.37,0,0\n2006-01-16,12:30:00,3636.31,3636.67,3636.01,3636.40,0,0\n2006-01-16,12:35:00,3636.09,3636.63,3635.90,3636.33,0,0\n2006-01-16,12:40:00,3636.09,3636.15,3635.26,3635.95,0,0\n2006-01-16,12:45:00,3636.17,3636.52,3635.79,3636.43,0,0\n2006-01-16,12:50:00,3636.30,3636.73,3636.17,3636.49,0,0\n2006-01-16,12:55:00,3636.69,3636.74,3636.06,3636.68,0,0\n2006-01-16,13:00:00,3636.79,3637.00,3636.27,3636.59,0,0\n2006-01-16,13:05:00,3636.30,3636.97,3635.98,3636.36,0,0\n2006-01-16,13:10:00,3636.48,3636.92,3636.28,3636.92,0,0\n2006-01-16,13:15:00,3636.79,3636.89,3636.30,3636.66,0,0\n2006-01-16,13:20:00,3636.63,3636.68,3636.11,3636.11,0,0\n2006-01-16,13:25:00,3636.29,3637.04,3636.18,3636.77,0,0\n2006-01-16,13:30:00,3636.91,3636.91,3636.23,3636.80,0,0\n2006-01-16,13:35:00,3636.36,3636.49,3636.07,3636.28,0,0\n2006-01-16,13:40:00,3636.40,3636.74,3636.15,3636.61,0,0\n2006-01-16,13:45:00,3636.67,3636.95,3636.36,3636.95,0,0\n2006-01-16,13:50:00,3637.03,3637.30,3636.70,3637.17,0,0\n2006-01-16,13:55:00,3636.97,3637.41,3636.76,3637.09,0,0\n2006-01-16,14:00:00,3636.98,3637.40,3636.61,3636.95,0,0\n2006-01-16,14:05:00,3636.85,3636.85,3636.36,3636.55,0,0\n2006-01-16,14:10:00,3636.67,3636.83,3636.01,3636.66,0,0\n2006-01-16,14:15:00,3636.66,3637.16,3636.29,3637.16,0,0\n2006-01-16,14:20:00,3637.33,3637.33,3636.74,3637.06,0,0\n2006-01-16,14:25:00,3636.82,3637.29,3636.77,3636.86,0,0\n2006-01-16,14:30:00,3636.96,3637.53,3636.92,3637.22,0,0\n2006-01-16,14:35:00,3637.36,3637.91,3637.23,3637.69,0,0\n2006-01-16,14:40:00,3637.77,3638.30,3637.42,3638.03,0,0\n2006-01-16,14:45:00,3638.11,3638.76,3638.03,3638.56,0,0\n2006-01-16,14:50:00,3638.55,3639.33,3638.36,3639.12,0,0\n2006-01-16,14:55:00,3638.99,3639.40,3638.80,3639.23,0,0\n2006-01-16,15:00:00,3638.94,3639.54,3638.65,3639.41,0,0\n2006-01-16,15:05:00,3639.96,3640.51,3639.69,3640.06,0,0\n2006-01-16,15:10:00,3640.44,3640.44,3639.38,3639.94,0,0\n2006-01-16,15:15:00,3639.87,3640.25,3639.49,3639.49,0,0\n2006-01-16,15:20:00,3639.57,3639.87,3638.94,3639.21,0,0\n2006-01-16,15:25:00,3639.25,3639.68,3638.92,3639.47,0,0\n2006-01-16,15:30:00,3639.42,3639.42,3638.52,3638.52,0,0\n2006-01-16,15:35:00,3638.29,3639.18,3638.18,3639.18,0,0\n2006-01-16,15:40:00,3639.18,3640.17,3639.18,3639.94,0,0\n2006-01-16,15:45:00,3639.45,3639.95,3639.22,3639.23,0,0\n2006-01-16,15:50:00,3639.07,3639.61,3639.07,3639.58,0,0\n2006-01-16,15:55:00,3640.08,3640.14,3639.42,3639.61,0,0\n2006-01-16,16:00:00,3639.68,3639.87,3639.07,3639.36,0,0\n2006-01-16,16:05:00,3639.40,3641.53,3639.40,3641.13,0,0\n2006-01-16,16:10:00,3641.41,3641.41,3640.70,3640.88,0,0\n2006-01-16,16:15:00,3640.77,3641.27,3640.44,3641.04,0,0\n2006-01-16,16:20:00,3641.43,3643.55,3641.43,3643.52,0,0\n2006-01-16,16:25:00,3643.21,3645.56,3643.04,3645.56,0,0\n2006-01-16,16:30:00,3645.49,3647.13,3645.49,3646.61,0,0\n2006-01-16,16:35:00,3646.70,3647.18,3644.93,3645.15,0,0\n2006-01-16,16:40:00,3645.46,3645.46,3644.60,3645.15,0,0\n2006-01-16,16:45:00,3645.00,3645.71,3645.00,3645.56,0,0\n2006-01-16,16:50:00,3645.46,3647.29,3645.46,3647.29,0,0\n2006-01-16,16:55:00,3647.24,3648.64,3646.59,3647.63,0,0\n2006-01-16,17:00:00,3647.98,3648.43,3647.38,3648.30,0,0\n2006-01-16,17:05:00,3648.19,3648.19,3646.82,3646.82,0,0\n2006-01-16,17:10:00,3646.99,3647.30,3646.63,3647.01,0,0\n2006-01-16,17:15:00,3647.11,3647.43,3646.24,3646.55,0,0\n2006-01-16,17:20:00,3646.46,3647.98,3646.46,3647.64,0,0\n2006-01-16,17:25:00,3647.93,3649.10,3647.39,3648.10,0,0\n2006-01-16,17:30:00,3647.85,3648.16,3644.32,3644.41,0,0\n2006-01-17,09:05:00,3639.57,3639.57,3618.99,3621.85,0,0\n2006-01-17,09:10:00,3622.45,3622.45,3610.65,3613.72,0,0\n2006-01-17,09:15:00,3614.34,3618.02,3613.94,3618.02,0,0\n2006-01-17,09:20:00,3617.85,3620.82,3617.64,3618.05,0,0\n2006-01-17,09:25:00,3617.68,3620.10,3615.31,3620.10,0,0\n2006-01-17,09:30:00,3620.18,3620.18,3618.32,3619.05,0,0\n2006-01-17,09:35:00,3618.65,3618.65,3616.13,3616.89,0,0\n2006-01-17,09:40:00,3617.06,3620.48,3616.32,3620.34,0,0\n2006-01-17,09:45:00,3619.63,3620.45,3617.46,3617.46,0,0\n2006-01-17,09:50:00,3617.72,3618.47,3616.21,3618.18,0,0\n2006-01-17,09:55:00,3618.15,3618.15,3615.00,3616.50,0,0\n2006-01-17,10:00:00,3616.25,3616.34,3610.72,3612.52,0,0\n2006-01-17,10:05:00,3612.95,3612.95,3607.09,3608.41,0,0\n2006-01-17,10:10:00,3608.60,3609.99,3608.27,3608.44,0,0\n2006-01-17,10:15:00,3608.56,3610.04,3607.23,3610.04,0,0\n2006-01-17,10:20:00,3610.32,3611.84,3608.68,3608.68,0,0\n2006-01-17,10:25:00,3608.92,3612.15,3608.92,3612.15,0,0\n2006-01-17,10:30:00,3612.48,3614.64,3612.10,3614.53,0,0\n2006-01-17,10:35:00,3614.57,3614.99,3613.94,3614.43,0,0\n2006-01-17,10:40:00,3614.32,3616.01,3614.26,3616.01,0,0\n2006-01-17,10:45:00,3616.07,3617.48,3615.38,3615.71,0,0\n2006-01-17,10:50:00,3616.07,3616.94,3615.90,3615.94,0,0\n2006-01-17,10:55:00,3616.10,3616.10,3614.54,3614.77,0,0\n2006-01-17,11:00:00,3614.94,3617.02,3614.72,3616.80,0,0\n2006-01-17,11:05:00,3616.68,3617.06,3615.64,3616.03,0,0\n2006-01-17,11:10:00,3616.06,3616.49,3615.57,3616.06,0,0\n2006-01-17,11:15:00,3616.14,3616.65,3615.91,3615.95,0,0\n2006-01-17,11:20:00,3616.06,3616.87,3615.87,3616.53,0,0\n2006-01-17,11:25:00,3616.31,3617.11,3615.97,3617.11,0,0\n2006-01-17,11:30:00,3617.12,3617.52,3613.09,3613.09,0,0\n2006-01-17,11:35:00,3612.43,3613.47,3612.36,3612.92,0,0\n2006-01-17,11:40:00,3612.95,3613.60,3612.55,3612.89,0,0\n2006-01-17,11:45:00,3613.02,3613.53,3612.62,3612.96,0,0\n2006-01-17,11:50:00,3612.62,3613.59,3612.42,3613.44,0,0\n2006-01-17,11:55:00,3613.68,3614.03,3612.53,3612.53,0,0\n2006-01-17,12:00:00,3613.36,3614.21,3612.50,3614.21,0,0\n2006-01-17,12:05:00,3613.38,3614.95,3612.14,3612.54,0,0\n2006-01-17,12:10:00,3612.48,3612.69,3612.06,3612.40,0,0\n2006-01-17,12:15:00,3612.45,3612.45,3611.67,3612.14,0,0\n2006-01-17,12:20:00,3612.35,3614.15,3612.03,3614.15,0,0\n2006-01-17,12:25:00,3614.43,3616.49,3614.40,3616.28,0,0\n2006-01-17,12:30:00,3616.28,3617.29,3615.99,3616.81,0,0\n2006-01-17,12:35:00,3616.64,3616.65,3615.64,3615.65,0,0\n2006-01-17,12:40:00,3615.46,3615.57,3614.53,3614.80,0,0\n2006-01-17,12:45:00,3614.69,3616.04,3614.69,3615.90,0,0\n2006-01-17,12:50:00,3616.21,3616.21,3614.89,3615.17,0,0\n2006-01-17,12:55:00,3615.59,3615.59,3614.73,3614.97,0,0\n2006-01-17,13:00:00,3614.86,3614.99,3614.61,3614.89,0,0\n2006-01-17,13:05:00,3614.98,3616.05,3614.98,3615.70,0,0\n2006-01-17,13:10:00,3615.50,3615.87,3612.39,3612.63,0,0\n2006-01-17,13:15:00,3612.84,3613.82,3612.60,3613.51,0,0\n2006-01-17,13:20:00,3613.63,3613.67,3611.76,3612.20,0,0\n2006-01-17,13:25:00,3612.24,3613.71,3612.08,3613.71,0,0\n2006-01-17,13:30:00,3613.48,3614.36,3613.48,3614.01,0,0\n2006-01-17,13:35:00,3614.07,3614.07,3612.45,3613.11,0,0\n2006-01-17,13:40:00,3612.75,3612.76,3611.61,3611.89,0,0\n2006-01-17,13:45:00,3611.96,3613.08,3611.71,3612.86,0,0\n2006-01-17,13:50:00,3613.00,3613.35,3612.46,3612.84,0,0\n2006-01-17,13:55:00,3612.90,3613.37,3612.56,3612.63,0,0\n2006-01-17,14:00:00,3612.86,3613.15,3612.48,3612.68,0,0\n2006-01-17,14:05:00,3612.79,3612.79,3612.30,3612.47,0,0\n2006-01-17,14:10:00,3612.01,3612.49,3611.16,3611.31,0,0\n2006-01-17,14:15:00,3611.38,3611.38,3610.60,3610.66,0,0\n2006-01-17,14:20:00,3610.35,3610.57,3609.58,3610.57,0,0\n2006-01-17,14:25:00,3610.50,3610.67,3610.31,3610.42,0,0\n2006-01-17,14:30:00,3610.17,3610.77,3608.98,3609.14,0,0\n2006-01-17,14:35:00,3609.14,3609.45,3606.54,3606.86,0,0\n2006-01-17,14:40:00,3607.10,3608.58,3606.57,3608.58,0,0\n2006-01-17,14:45:00,3608.58,3610.05,3607.88,3609.70,0,0\n2006-01-17,14:50:00,3609.51,3609.85,3609.18,3609.79,0,0\n2006-01-17,14:55:00,3609.94,3610.57,3609.94,3610.55,0,0\n2006-01-17,15:00:00,3610.63,3611.49,3610.53,3611.08,0,0\n2006-01-17,15:05:00,3611.26,3611.83,3610.98,3611.76,0,0\n2006-01-17,15:10:00,3611.64,3612.38,3611.64,3611.93,0,0\n2006-01-17,15:15:00,3611.85,3612.36,3611.76,3612.14,0,0\n2006-01-17,15:20:00,3611.48,3612.70,3611.05,3612.00,0,0\n2006-01-17,15:25:00,3611.54,3612.28,3611.54,3611.76,0,0\n2006-01-17,15:30:00,3612.00,3612.09,3611.05,3612.09,0,0\n2006-01-17,15:35:00,3612.03,3612.03,3609.80,3610.56,0,0\n2006-01-17,15:40:00,3610.59,3610.89,3609.76,3610.72,0,0\n2006-01-17,15:45:00,3610.78,3613.41,3610.78,3612.86,0,0\n2006-01-17,15:50:00,3613.34,3617.16,3613.34,3616.70,0,0\n2006-01-17,15:55:00,3616.65,3620.13,3616.36,3619.90,0,0\n2006-01-17,16:00:00,3619.47,3619.47,3615.75,3615.75,0,0\n2006-01-17,16:05:00,3615.57,3615.75,3613.67,3613.86,0,0\n2006-01-17,16:10:00,3614.05,3615.88,3613.97,3615.15,0,0\n2006-01-17,16:15:00,3615.11,3619.39,3614.88,3617.45,0,0\n2006-01-17,16:20:00,3617.12,3617.12,3611.58,3613.13,0,0\n2006-01-17,16:25:00,3612.81,3614.05,3610.21,3614.05,0,0\n2006-01-17,16:30:00,3614.41,3615.98,3614.05,3615.56,0,0\n2006-01-17,16:35:00,3615.10,3616.10,3614.27,3614.27,0,0\n2006-01-17,16:40:00,3613.96,3613.96,3612.26,3612.70,0,0\n2006-01-17,16:45:00,3612.37,3612.61,3609.40,3609.88,0,0\n2006-01-17,16:50:00,3609.96,3610.70,3608.39,3610.49,0,0\n2006-01-17,16:55:00,3610.91,3612.57,3610.91,3611.24,0,0\n2006-01-17,17:00:00,3611.27,3612.14,3611.09,3611.69,0,0\n2006-01-17,17:05:00,3612.55,3613.98,3612.35,3612.35,0,0\n2006-01-17,17:10:00,3612.91,3615.40,3612.91,3615.02,0,0\n2006-01-17,17:15:00,3615.23,3616.73,3614.14,3614.83,0,0\n2006-01-17,17:20:00,3614.94,3616.02,3614.44,3615.85,0,0\n2006-01-17,17:25:00,3615.64,3615.97,3612.92,3612.92,0,0\n2006-01-17,17:30:00,3613.21,3613.21,3609.85,3610.07,0,0\n2006-01-18,09:05:00,3609.34,3609.34,3560.30,3560.94,0,0\n2006-01-18,09:10:00,3562.00,3562.00,3555.33,3559.26,0,0\n2006-01-18,09:15:00,3558.77,3558.77,3554.02,3555.34,0,0\n2006-01-18,09:20:00,3555.49,3556.59,3550.16,3552.78,0,0\n2006-01-18,09:25:00,3552.15,3556.61,3551.97,3556.61,0,0\n2006-01-18,09:30:00,3555.52,3558.55,3555.30,3558.55,0,0\n2006-01-18,09:35:00,3559.29,3566.77,3559.29,3566.77,0,0\n2006-01-18,09:40:00,3566.40,3566.40,3562.98,3562.98,0,0\n2006-01-18,09:45:00,3561.66,3563.91,3561.11,3563.75,0,0\n2006-01-18,09:50:00,3564.05,3564.97,3562.81,3563.79,0,0\n2006-01-18,09:55:00,3563.73,3564.13,3561.89,3562.50,0,0\n2006-01-18,10:00:00,3562.67,3565.70,3562.56,3565.58,0,0\n2006-01-18,10:05:00,3565.42,3565.46,3563.70,3564.00,0,0\n2006-01-18,10:10:00,3564.55,3565.04,3559.73,3561.80,0,0\n2006-01-18,10:15:00,3561.86,3562.67,3560.56,3560.56,0,0\n2006-01-18,10:20:00,3559.68,3559.75,3557.75,3559.75,0,0\n2006-01-18,10:25:00,3559.52,3559.60,3555.33,3555.98,0,0\n2006-01-18,10:30:00,3555.96,3558.67,3555.17,3558.25,0,0\n2006-01-18,10:35:00,3556.12,3558.25,3556.03,3556.96,0,0\n2006-01-18,10:40:00,3556.64,3557.65,3556.64,3556.90,0,0\n2006-01-18,10:45:00,3556.98,3557.94,3556.92,3557.59,0,0\n2006-01-18,10:50:00,3557.92,3559.76,3557.92,3558.52,0,0\n2006-01-18,10:55:00,3558.61,3558.61,3556.36,3556.36,0,0\n2006-01-18,11:00:00,3556.44,3558.66,3556.44,3558.55,0,0\n2006-01-18,11:05:00,3558.59,3559.99,3558.42,3559.39,0,0\n2006-01-18,11:10:00,3559.16,3561.17,3559.03,3561.17,0,0\n2006-01-18,11:15:00,3561.31,3561.69,3560.79,3561.69,0,0\n2006-01-18,11:20:00,3561.47,3563.20,3561.47,3563.02,0,0\n2006-01-18,11:25:00,3562.52,3564.36,3562.52,3563.34,0,0\n2006-01-18,11:30:00,3563.79,3564.11,3562.37,3562.48,0,0\n2006-01-18,11:35:00,3562.23,3563.35,3562.23,3563.27,0,0\n2006-01-18,11:40:00,3562.92,3563.32,3559.26,3560.34,0,0\n2006-01-18,11:45:00,3560.52,3561.59,3560.18,3561.59,0,0\n2006-01-18,11:50:00,3561.61,3562.19,3560.68,3561.46,0,0\n2006-01-18,11:55:00,3561.16,3562.08,3561.16,3561.98,0,0\n2006-01-18,12:00:00,3561.65,3562.47,3560.74,3560.74,0,0\n2006-01-18,12:05:00,3561.57,3561.57,3560.05,3560.72,0,0\n2006-01-18,12:10:00,3560.71,3561.25,3560.52,3560.94,0,0\n2006-01-18,12:15:00,3560.83,3560.93,3559.55,3560.60,0,0\n2006-01-18,12:20:00,3560.42,3560.55,3559.78,3560.41,0,0\n2006-01-18,12:25:00,3560.38,3560.38,3559.11,3559.29,0,0\n2006-01-18,12:30:00,3559.19,3559.78,3558.73,3559.71,0,0\n2006-01-18,12:35:00,3559.42,3559.50,3558.86,3559.33,0,0\n2006-01-18,12:40:00,3559.36,3559.68,3558.54,3558.59,0,0\n2006-01-18,12:45:00,3558.65,3559.51,3558.13,3558.13,0,0\n2006-01-18,12:50:00,3557.86,3558.69,3557.81,3557.81,0,0\n2006-01-18,12:55:00,3558.16,3559.13,3558.16,3559.13,0,0\n2006-01-18,13:00:00,3559.17,3559.17,3557.21,3557.89,0,0\n2006-01-18,13:05:00,3558.11,3558.31,3557.33,3557.86,0,0\n2006-01-18,13:10:00,3557.79,3560.39,3557.75,3560.14,0,0\n2006-01-18,13:15:00,3560.29,3561.54,3560.16,3560.99,0,0\n2006-01-18,13:20:00,3561.06,3563.77,3560.77,3563.77,0,0\n2006-01-18,13:25:00,3563.89,3564.96,3563.70,3564.62,0,0\n2006-01-18,13:30:00,3564.84,3567.44,3564.84,3567.44,0,0\n2006-01-18,13:35:00,3567.66,3569.11,3567.44,3568.72,0,0\n2006-01-18,13:40:00,3568.55,3569.13,3567.79,3567.79,0,0\n2006-01-18,13:45:00,3567.65,3567.65,3566.46,3566.82,0,0\n2006-01-18,13:50:00,3566.95,3567.53,3566.02,3566.03,0,0\n2006-01-18,13:55:00,3566.02,3566.71,3565.87,3566.65,0,0\n2006-01-18,14:00:00,3566.43,3567.66,3565.10,3565.52,0,0\n2006-01-18,14:05:00,3565.42,3565.93,3564.96,3565.11,0,0\n2006-01-18,14:10:00,3565.01,3565.01,3563.97,3564.18,0,0\n2006-01-18,14:15:00,3564.27,3564.37,3563.62,3563.84,0,0\n2006-01-18,14:20:00,3563.65,3564.35,3563.65,3564.35,0,0\n2006-01-18,14:25:00,3564.28,3565.06,3563.96,3565.06,0,0\n2006-01-18,14:30:00,3565.17,3565.45,3564.92,3565.45,0,0\n2006-01-18,14:35:00,3565.22,3567.95,3565.22,3565.49,0,0\n2006-01-18,14:40:00,3565.76,3565.76,3563.98,3565.31,0,0\n2006-01-18,14:45:00,3565.43,3566.30,3564.84,3566.30,0,0\n2006-01-18,14:50:00,3566.31,3566.39,3565.51,3565.87,0,0\n2006-01-18,14:55:00,3565.82,3566.89,3565.71,3566.89,0,0\n2006-01-18,15:00:00,3566.75,3569.20,3566.71,3569.20,0,0\n2006-01-18,15:05:00,3569.13,3570.75,3569.13,3570.75,0,0\n2006-01-18,15:10:00,3570.80,3574.25,3570.80,3574.23,0,0\n2006-01-18,15:15:00,3574.52,3575.45,3574.49,3575.13,0,0\n2006-01-18,15:20:00,3575.02,3575.02,3573.14,3573.51,0,0\n2006-01-18,15:25:00,3573.30,3574.38,3573.25,3574.38,0,0\n2006-01-18,15:30:00,3574.51,3574.77,3572.78,3572.78,0,0\n2006-01-18,15:35:00,3572.43,3573.13,3571.42,3572.06,0,0\n2006-01-18,15:40:00,3571.67,3571.67,3567.90,3568.26,0,0\n2006-01-18,15:45:00,3568.43,3575.07,3568.43,3575.07,0,0\n2006-01-18,15:50:00,3575.76,3579.21,3575.76,3577.15,0,0\n2006-01-18,15:55:00,3576.66,3577.87,3576.22,3576.84,0,0\n2006-01-18,16:00:00,3576.33,3576.33,3573.30,3573.61,0,0\n2006-01-18,16:05:00,3573.75,3574.51,3572.95,3574.51,0,0\n2006-01-18,16:10:00,3575.11,3579.43,3575.11,3579.43,0,0\n2006-01-18,16:15:00,3579.45,3580.66,3578.84,3580.66,0,0\n2006-01-18,16:20:00,3580.56,3583.28,3579.64,3582.55,0,0\n2006-01-18,16:25:00,3582.31,3588.08,3582.03,3587.13,0,0\n2006-01-18,16:30:00,3587.05,3587.93,3584.62,3584.93,0,0\n2006-01-18,16:35:00,3584.93,3585.37,3584.00,3584.13,0,0\n2006-01-18,16:40:00,3584.05,3584.05,3581.27,3581.27,0,0\n2006-01-18,16:45:00,3581.21,3584.04,3580.75,3582.87,0,0\n2006-01-18,16:50:00,3583.00,3584.13,3582.03,3582.13,0,0\n2006-01-18,16:55:00,3580.96,3581.50,3579.76,3581.50,0,0\n2006-01-18,17:00:00,3581.93,3582.13,3579.30,3579.30,0,0\n2006-01-18,17:05:00,3579.24,3579.73,3578.60,3579.06,0,0\n2006-01-18,17:10:00,3579.21,3579.59,3578.32,3578.38,0,0\n2006-01-18,17:15:00,3577.74,3579.00,3577.74,3579.00,0,0\n2006-01-18,17:20:00,3579.09,3579.09,3576.45,3576.85,0,0\n2006-01-18,17:25:00,3577.11,3577.77,3576.78,3577.19,0,0\n2006-01-18,17:30:00,3577.15,3577.60,3570.17,3570.17,0,0\n2006-01-19,09:05:00,3572.19,3595.26,3572.19,3593.54,0,0\n2006-01-19,09:10:00,3594.34,3597.34,3594.34,3596.54,0,0\n2006-01-19,09:15:00,3596.77,3596.99,3593.77,3593.80,0,0\n2006-01-19,09:20:00,3593.73,3594.80,3593.17,3594.80,0,0\n2006-01-19,09:25:00,3594.78,3595.88,3588.68,3589.46,0,0\n2006-01-19,09:30:00,3589.13,3589.88,3586.96,3589.88,0,0\n2006-01-19,09:35:00,3590.04,3590.24,3589.08,3590.24,0,0\n2006-01-19,09:40:00,3590.85,3593.26,3590.72,3593.26,0,0\n2006-01-19,09:45:00,3593.09,3593.39,3588.70,3589.40,0,0\n2006-01-19,09:50:00,3589.68,3590.98,3588.35,3588.45,0,0\n2006-01-19,09:55:00,3588.56,3589.78,3588.45,3589.48,0,0\n2006-01-19,10:00:00,3590.13,3590.84,3589.71,3589.94,0,0\n2006-01-19,10:05:00,3589.78,3590.20,3586.86,3587.71,0,0\n2006-01-19,10:10:00,3587.56,3591.07,3587.56,3590.60,0,0\n2006-01-19,10:15:00,3590.96,3592.32,3590.96,3592.17,0,0\n2006-01-19,10:20:00,3592.52,3593.08,3592.29,3592.94,0,0\n2006-01-19,10:25:00,3592.71,3593.34,3592.58,3593.34,0,0\n2006-01-19,10:30:00,3593.21,3594.37,3592.94,3594.37,0,0\n2006-01-19,10:35:00,3594.26,3594.26,3591.80,3592.98,0,0\n2006-01-19,10:40:00,3592.95,3593.64,3591.98,3593.56,0,0\n2006-01-19,10:45:00,3593.54,3594.16,3592.57,3593.06,0,0\n2006-01-19,10:50:00,3593.17,3593.23,3590.28,3590.28,0,0\n2006-01-19,10:55:00,3590.19,3590.54,3589.10,3589.10,0,0\n2006-01-19,11:00:00,3589.17,3589.98,3588.66,3589.18,0,0\n2006-01-19,11:05:00,3589.32,3590.16,3589.20,3589.48,0,0\n2006-01-19,11:10:00,3589.79,3590.03,3588.21,3588.73,0,0\n2006-01-19,11:15:00,3588.39,3588.83,3587.12,3588.73,0,0\n2006-01-19,11:20:00,3588.89,3589.86,3588.62,3589.64,0,0\n2006-01-19,11:25:00,3589.96,3590.88,3589.74,3590.88,0,0\n2006-01-19,11:30:00,3590.61,3590.85,3590.00,3590.51,0,0\n2006-01-19,11:35:00,3590.49,3591.04,3590.42,3590.92,0,0\n2006-01-19,11:40:00,3590.99,3591.02,3589.98,3589.98,0,0\n2006-01-19,11:45:00,3590.15,3590.15,3587.70,3587.72,0,0\n2006-01-19,11:50:00,3587.89,3587.89,3587.06,3587.31,0,0\n2006-01-19,11:55:00,3587.06,3589.27,3587.06,3588.94,0,0\n2006-01-19,12:00:00,3588.16,3589.34,3587.86,3588.87,0,0\n2006-01-19,12:05:00,3588.35,3589.15,3587.93,3588.73,0,0\n2006-01-19,12:10:00,3588.84,3588.98,3583.35,3583.71,0,0\n2006-01-19,12:15:00,3584.13,3584.99,3581.33,3582.74,0,0\n2006-01-19,12:20:00,3582.78,3583.39,3580.11,3582.69,0,0\n2006-01-19,12:25:00,3582.60,3584.76,3580.75,3584.66,0,0\n2006-01-19,12:30:00,3584.48,3584.49,3581.79,3583.26,0,0\n2006-01-19,12:35:00,3583.43,3583.46,3582.17,3582.21,0,0\n2006-01-19,12:40:00,3582.08,3583.93,3582.08,3583.93,0,0\n2006-01-19,12:45:00,3584.31,3587.37,3583.23,3587.37,0,0\n2006-01-19,12:50:00,3587.46,3588.55,3586.40,3588.34,0,0\n2006-01-19,12:55:00,3587.39,3588.10,3587.34,3587.96,0,0\n2006-01-19,13:00:00,3588.07,3588.07,3587.13,3587.53,0,0\n2006-01-19,13:05:00,3587.48,3587.54,3583.87,3583.87,0,0\n2006-01-19,13:10:00,3583.62,3583.74,3581.23,3582.79,0,0\n2006-01-19,13:15:00,3582.76,3584.42,3582.67,3584.14,0,0\n2006-01-19,13:20:00,3584.21,3584.79,3583.96,3584.79,0,0\n2006-01-19,13:25:00,3584.50,3584.87,3584.10,3584.34,0,0\n2006-01-19,13:30:00,3584.73,3585.39,3584.49,3585.25,0,0\n2006-01-19,13:35:00,3585.27,3588.99,3585.16,3588.99,0,0\n2006-01-19,13:40:00,3589.21,3589.53,3587.00,3587.24,0,0\n2006-01-19,13:45:00,3587.27,3587.27,3585.13,3585.13,0,0\n2006-01-19,13:50:00,3585.19,3586.09,3584.71,3586.09,0,0\n2006-01-19,13:55:00,3585.75,3586.47,3585.08,3585.08,0,0\n2006-01-19,14:00:00,3585.58,3586.37,3585.27,3586.15,0,0\n2006-01-19,14:05:00,3586.50,3588.46,3586.49,3588.46,0,0\n2006-01-19,14:10:00,3588.50,3590.78,3588.08,3590.60,0,0\n2006-01-19,14:15:00,3590.55,3591.26,3589.42,3589.73,0,0\n2006-01-19,14:20:00,3589.54,3589.55,3588.66,3589.44,0,0\n2006-01-19,14:25:00,3589.37,3590.90,3589.14,3590.39,0,0\n2006-01-19,14:30:00,3590.61,3591.38,3590.33,3591.38,0,0\n2006-01-19,14:35:00,3591.58,3592.08,3589.27,3590.23,0,0\n2006-01-19,14:40:00,3590.51,3592.13,3590.51,3592.13,0,0\n2006-01-19,14:45:00,3592.07,3593.50,3591.90,3593.06,0,0\n2006-01-19,14:50:00,3592.92,3593.06,3592.45,3592.56,0,0\n2006-01-19,14:55:00,3592.92,3593.16,3592.21,3592.21,0,0\n2006-01-19,15:00:00,3592.42,3592.42,3590.00,3590.87,0,0\n2006-01-19,15:05:00,3590.84,3591.86,3590.76,3591.68,0,0\n2006-01-19,15:10:00,3591.59,3594.91,3591.59,3594.88,0,0\n2006-01-19,15:15:00,3595.04,3595.83,3594.20,3595.24,0,0\n2006-01-19,15:20:00,3595.46,3595.64,3593.74,3593.77,0,0\n2006-01-19,15:25:00,3594.50,3594.50,3593.77,3593.95,0,0\n2006-01-19,15:30:00,3593.94,3593.94,3591.31,3592.70,0,0\n2006-01-19,15:35:00,3592.54,3592.54,3590.91,3592.17,0,0\n2006-01-19,15:40:00,3592.06,3592.87,3591.07,3592.87,0,0\n2006-01-19,15:45:00,3592.82,3593.30,3592.16,3593.30,0,0\n2006-01-19,15:50:00,3593.63,3593.63,3591.90,3592.83,0,0\n2006-01-19,15:55:00,3593.29,3593.37,3591.53,3591.53,0,0\n2006-01-19,16:00:00,3590.68,3592.27,3590.20,3592.27,0,0\n2006-01-19,16:05:00,3592.79,3594.11,3590.67,3592.53,0,0\n2006-01-19,16:10:00,3591.92,3591.92,3588.73,3589.42,0,0\n2006-01-19,16:15:00,3588.97,3588.97,3585.81,3588.79,0,0\n2006-01-19,16:20:00,3588.59,3591.82,3588.59,3590.87,0,0\n2006-01-19,16:25:00,3590.80,3590.80,3588.85,3588.85,0,0\n2006-01-19,16:30:00,3588.85,3590.23,3588.55,3589.92,0,0\n2006-01-19,16:35:00,3590.09,3591.17,3588.82,3589.56,0,0\n2006-01-19,16:40:00,3588.87,3591.90,3588.87,3591.25,0,0\n2006-01-19,16:45:00,3590.88,3591.27,3590.21,3591.01,0,0\n2006-01-19,16:50:00,3591.40,3591.72,3589.43,3591.45,0,0\n2006-01-19,16:55:00,3591.62,3592.44,3591.20,3591.78,0,0\n2006-01-19,17:00:00,3590.69,3591.64,3589.79,3589.79,0,0\n2006-01-19,17:05:00,3590.04,3591.85,3589.97,3590.87,0,0\n2006-01-19,17:10:00,3591.52,3593.70,3591.38,3593.70,0,0\n2006-01-19,17:15:00,3594.15,3595.51,3592.71,3594.61,0,0\n2006-01-19,17:20:00,3594.11,3594.14,3591.36,3592.01,0,0\n2006-01-19,17:25:00,3591.64,3592.01,3589.51,3590.92,0,0\n2006-01-19,17:30:00,3591.04,3593.22,3590.88,3593.22,0,0\n2006-01-20,09:05:00,3593.16,3603.17,3593.16,3602.66,0,0\n2006-01-20,09:10:00,3602.94,3609.06,3602.94,3609.06,0,0\n2006-01-20,09:15:00,3608.80,3608.87,3607.16,3608.62,0,0\n2006-01-20,09:20:00,3608.51,3609.27,3606.89,3607.99,0,0\n2006-01-20,09:25:00,3607.52,3607.94,3606.80,3607.44,0,0\n2006-01-20,09:30:00,3607.48,3608.37,3604.61,3604.61,0,0\n2006-01-20,09:35:00,3604.09,3605.92,3604.09,3605.92,0,0\n2006-01-20,09:40:00,3605.66,3607.28,3604.94,3604.94,0,0\n2006-01-20,09:45:00,3605.45,3606.46,3605.22,3605.73,0,0\n2006-01-20,09:50:00,3606.25,3608.28,3606.25,3607.80,0,0\n2006-01-20,09:55:00,3608.41,3611.05,3608.41,3609.55,0,0\n2006-01-20,10:00:00,3609.60,3611.72,3609.13,3610.88,0,0\n2006-01-20,10:05:00,3612.37,3612.37,3609.13,3609.59,0,0\n2006-01-20,10:10:00,3609.49,3610.62,3608.85,3610.08,0,0\n2006-01-20,10:15:00,3610.17,3610.27,3608.25,3608.91,0,0\n2006-01-20,10:20:00,3609.26,3609.26,3607.06,3607.53,0,0\n2006-01-20,10:25:00,3607.99,3609.60,3607.99,3609.60,0,0\n2006-01-20,10:30:00,3610.03,3610.11,3608.42,3608.88,0,0\n2006-01-20,10:35:00,3608.97,3609.79,3608.47,3609.79,0,0\n2006-01-20,10:40:00,3609.67,3611.17,3609.57,3611.07,0,0\n2006-01-20,10:45:00,3610.95,3610.95,3609.32,3610.01,0,0\n2006-01-20,10:50:00,3609.68,3610.00,3607.96,3608.62,0,0\n2006-01-20,10:55:00,3608.82,3609.26,3608.36,3609.10,0,0\n2006-01-20,11:00:00,3609.13,3609.30,3608.51,3609.00,0,0\n2006-01-20,11:05:00,3609.22,3609.22,3604.48,3604.81,0,0\n2006-01-20,11:10:00,3604.76,3605.22,3604.65,3605.22,0,0\n2006-01-20,11:15:00,3605.27,3605.27,3600.43,3601.66,0,0\n2006-01-20,11:20:00,3601.96,3602.86,3601.96,3602.81,0,0\n2006-01-20,11:25:00,3602.96,3603.47,3599.83,3599.83,0,0\n2006-01-20,11:30:00,3599.51,3600.80,3598.90,3599.56,0,0\n2006-01-20,11:35:00,3599.74,3600.64,3597.65,3598.88,0,0\n2006-01-20,11:40:00,3598.73,3600.13,3598.53,3600.12,0,0\n2006-01-20,11:45:00,3600.01,3601.83,3599.95,3601.83,0,0\n2006-01-20,11:50:00,3601.60,3603.24,3601.58,3602.96,0,0\n2006-01-20,11:55:00,3603.94,3607.00,3603.72,3605.25,0,0\n2006-01-20,12:00:00,3605.13,3605.13,3599.29,3599.29,0,0\n2006-01-20,12:05:00,3603.64,3603.64,3597.63,3599.14,0,0\n2006-01-20,12:10:00,3598.43,3598.66,3596.08,3596.83,0,0\n2006-01-20,12:15:00,3596.83,3596.95,3596.13,3596.48,0,0\n2006-01-20,12:20:00,3596.61,3597.01,3596.04,3596.54,0,0\n2006-01-20,12:25:00,3596.68,3597.55,3596.45,3597.26,0,0\n2006-01-20,12:30:00,3597.42,3597.82,3596.54,3596.69,0,0\n2006-01-20,12:35:00,3596.84,3597.80,3596.69,3597.61,0,0\n2006-01-20,12:40:00,3597.70,3597.71,3594.15,3595.04,0,0\n2006-01-20,12:45:00,3595.18,3595.18,3594.28,3594.51,0,0\n2006-01-20,12:50:00,3594.56,3595.01,3593.58,3593.58,0,0\n2006-01-20,12:55:00,3593.53,3593.98,3592.67,3593.19,0,0\n2006-01-20,13:00:00,3593.51,3593.51,3593.04,3593.20,0,0\n2006-01-20,13:05:00,3593.21,3593.54,3592.62,3592.98,0,0\n2006-01-20,13:10:00,3593.00,3593.00,3589.31,3589.49,0,0\n2006-01-20,13:15:00,3589.59,3590.13,3589.47,3590.03,0,0\n2006-01-20,13:20:00,3590.12,3590.49,3589.50,3589.93,0,0\n2006-01-20,13:25:00,3590.44,3591.95,3590.44,3591.77,0,0\n2006-01-20,13:30:00,3591.83,3592.07,3591.29,3591.30,0,0\n2006-01-20,13:35:00,3591.60,3592.53,3591.55,3592.14,0,0\n2006-01-20,13:40:00,3591.99,3592.60,3591.71,3591.95,0,0\n2006-01-20,13:45:00,3592.01,3592.51,3591.61,3592.51,0,0\n2006-01-20,13:50:00,3592.75,3592.75,3591.85,3592.02,0,0\n2006-01-20,13:55:00,3592.45,3593.05,3592.17,3592.79,0,0\n2006-01-20,14:00:00,3592.71,3593.62,3592.50,3593.62,0,0\n2006-01-20,14:05:00,3593.72,3594.08,3593.23,3593.96,0,0\n2006-01-20,14:10:00,3593.91,3594.38,3593.64,3594.11,0,0\n2006-01-20,14:15:00,3594.21,3594.92,3593.99,3594.92,0,0\n2006-01-20,14:20:00,3594.81,3594.81,3593.34,3593.71,0,0\n2006-01-20,14:25:00,3593.76,3594.88,3593.76,3594.10,0,0\n2006-01-20,14:30:00,3594.28,3594.39,3593.48,3594.20,0,0\n2006-01-20,14:35:00,3594.05,3594.32,3593.00,3593.65,0,0\n2006-01-20,14:40:00,3593.25,3593.70,3592.61,3593.59,0,0\n2006-01-20,14:45:00,3593.44,3593.61,3592.69,3592.69,0,0\n2006-01-20,14:50:00,3593.00,3594.06,3592.82,3594.06,0,0\n2006-01-20,14:55:00,3594.29,3594.90,3593.97,3594.90,0,0\n2006-01-20,15:00:00,3595.19,3595.19,3590.83,3591.31,0,0\n2006-01-20,15:05:00,3591.29,3593.09,3591.29,3593.08,0,0\n2006-01-20,15:10:00,3592.98,3595.22,3592.79,3594.98,0,0\n2006-01-20,15:15:00,3594.78,3595.23,3593.92,3594.33,0,0\n2006-01-20,15:20:00,3594.21,3596.22,3594.21,3596.22,0,0\n2006-01-20,15:25:00,3595.86,3595.93,3594.76,3594.76,0,0\n2006-01-20,15:30:00,3594.62,3596.65,3594.62,3596.65,0,0\n2006-01-20,15:35:00,3596.81,3597.09,3595.87,3596.47,0,0\n2006-01-20,15:40:00,3596.60,3596.64,3595.40,3596.58,0,0\n2006-01-20,15:45:00,3596.92,3597.28,3596.39,3596.85,0,0\n2006-01-20,15:50:00,3596.69,3597.82,3595.76,3597.82,0,0\n2006-01-20,15:55:00,3597.45,3597.81,3596.48,3597.07,0,0\n2006-01-20,16:00:00,3597.06,3597.06,3584.50,3584.50,0,0\n2006-01-20,16:05:00,3584.01,3589.65,3575.40,3586.01,0,0\n2006-01-20,16:10:00,3586.79,3588.14,3584.96,3584.96,0,0\n2006-01-20,16:15:00,3585.80,3586.27,3576.71,3576.71,0,0\n2006-01-20,16:20:00,3574.77,3581.66,3574.77,3576.86,0,0\n2006-01-20,16:25:00,3576.79,3580.10,3575.65,3579.81,0,0\n2006-01-20,16:30:00,3579.29,3579.75,3576.22,3576.33,0,0\n2006-01-20,16:35:00,3575.75,3576.14,3566.87,3570.06,0,0\n2006-01-20,16:40:00,3571.20,3571.75,3570.12,3571.67,0,0\n2006-01-20,16:45:00,3571.75,3572.91,3568.36,3568.36,0,0\n2006-01-20,16:50:00,3566.58,3568.06,3564.83,3564.99,0,0\n2006-01-20,16:55:00,3564.88,3565.83,3555.66,3559.16,0,0\n2006-01-20,17:00:00,3559.44,3562.12,3559.18,3561.36,0,0\n2006-01-20,17:05:00,3559.71,3563.01,3555.91,3563.01,0,0\n2006-01-20,17:10:00,3563.18,3563.52,3560.93,3562.32,0,0\n2006-01-20,17:15:00,3563.02,3568.18,3560.34,3567.54,0,0\n2006-01-20,17:20:00,3567.40,3567.40,3562.08,3562.08,0,0\n2006-01-20,17:25:00,3560.85,3560.85,3554.04,3555.56,0,0\n2006-01-20,17:30:00,3554.39,3555.60,3550.80,3550.80,0,0\n2006-01-23,09:05:00,3550.24,3550.24,3516.13,3521.42,0,0\n2006-01-23,09:10:00,3520.96,3520.96,3515.07,3515.64,0,0\n2006-01-23,09:15:00,3515.46,3520.63,3515.46,3520.63,0,0\n2006-01-23,09:20:00,3521.20,3527.25,3520.97,3525.08,0,0\n2006-01-23,09:25:00,3523.73,3523.78,3522.17,3523.09,0,0\n2006-01-23,09:30:00,3522.77,3523.38,3520.74,3521.73,0,0\n2006-01-23,09:35:00,3522.08,3522.08,3519.58,3520.53,0,0\n2006-01-23,09:40:00,3520.67,3522.09,3520.01,3521.43,0,0\n2006-01-23,09:45:00,3520.19,3524.91,3520.19,3524.82,0,0\n2006-01-23,09:50:00,3524.67,3525.33,3523.54,3525.33,0,0\n2006-01-23,09:55:00,3525.92,3529.63,3525.68,3529.06,0,0\n2006-01-23,10:00:00,3529.25,3529.95,3528.20,3528.22,0,0\n2006-01-23,10:05:00,3528.17,3529.39,3525.69,3525.82,0,0\n2006-01-23,10:10:00,3526.11,3529.06,3526.11,3527.69,0,0\n2006-01-23,10:15:00,3527.22,3527.31,3526.01,3526.18,0,0\n2006-01-23,10:20:00,3526.36,3527.60,3526.05,3527.28,0,0\n2006-01-23,10:25:00,3527.71,3529.36,3527.71,3527.92,0,0\n2006-01-23,10:30:00,3527.76,3530.16,3527.61,3529.84,0,0\n2006-01-23,10:35:00,3529.71,3533.60,3529.71,3533.60,0,0\n2006-01-23,10:40:00,3533.65,3533.65,3532.38,3533.31,0,0\n2006-01-23,10:45:00,3533.13,3536.66,3533.13,3536.20,0,0\n2006-01-23,10:50:00,3536.05,3537.82,3533.30,3533.68,0,0\n2006-01-23,10:55:00,3534.26,3535.74,3533.91,3535.70,0,0\n2006-01-23,11:00:00,3535.60,3536.60,3535.15,3535.81,0,0\n2006-01-23,11:05:00,3535.35,3535.35,3531.47,3532.25,0,0\n2006-01-23,11:10:00,3531.70,3532.17,3531.02,3531.77,0,0\n2006-01-23,11:15:00,3531.75,3532.81,3531.56,3532.32,0,0\n2006-01-23,11:20:00,3532.48,3533.22,3532.31,3532.38,0,0\n2006-01-23,11:25:00,3532.43,3535.67,3532.33,3535.67,0,0\n2006-01-23,11:30:00,3535.62,3536.01,3534.17,3534.41,0,0\n2006-01-23,11:35:00,3534.27,3534.27,3531.34,3532.31,0,0\n2006-01-23,11:40:00,3532.18,3532.59,3531.12,3531.92,0,0\n2006-01-23,11:45:00,3531.70,3531.83,3530.75,3530.93,0,0\n2006-01-23,11:50:00,3531.37,3533.16,3531.33,3532.85,0,0\n2006-01-23,11:55:00,3532.79,3533.57,3532.36,3533.04,0,0\n2006-01-23,12:00:00,3533.00,3534.07,3531.89,3532.68,0,0\n2006-01-23,12:05:00,3533.06,3533.08,3532.04,3532.49,0,0\n2006-01-23,12:10:00,3532.73,3532.99,3532.08,3532.78,0,0\n2006-01-23,12:15:00,3532.72,3532.81,3530.89,3530.89,0,0\n2006-01-23,12:20:00,3530.70,3530.70,3529.01,3529.64,0,0\n2006-01-23,12:25:00,3529.63,3530.17,3524.10,3524.10,0,0\n2006-01-23,12:30:00,3524.33,3525.62,3523.30,3525.62,0,0\n2006-01-23,12:35:00,3525.75,3526.20,3524.66,3524.86,0,0\n2006-01-23,12:40:00,3523.31,3525.12,3523.07,3525.11,0,0\n2006-01-23,12:45:00,3525.24,3525.24,3520.60,3520.60,0,0\n2006-01-23,12:50:00,3521.05,3521.48,3519.94,3520.35,0,0\n2006-01-23,12:55:00,3520.17,3522.78,3520.00,3522.78,0,0\n2006-01-23,13:00:00,3522.96,3523.52,3521.93,3523.07,0,0\n2006-01-23,13:05:00,3522.97,3524.39,3522.03,3523.99,0,0\n2006-01-23,13:10:00,3524.04,3526.03,3523.37,3526.03,0,0\n2006-01-23,13:15:00,3526.07,3527.54,3526.07,3527.04,0,0\n2006-01-23,13:20:00,3527.37,3529.63,3527.12,3529.34,0,0\n2006-01-23,13:25:00,3529.46,3529.83,3529.18,3529.60,0,0\n2006-01-23,13:30:00,3529.81,3529.81,3528.07,3528.74,0,0\n2006-01-23,13:35:00,3528.71,3531.47,3528.64,3530.33,0,0\n2006-01-23,13:40:00,3530.49,3531.07,3529.46,3529.91,0,0\n2006-01-23,13:45:00,3529.89,3530.22,3529.34,3530.17,0,0\n2006-01-23,13:50:00,3530.26,3533.46,3530.22,3533.38,0,0\n2006-01-23,13:55:00,3533.30,3533.60,3531.57,3531.57,0,0\n2006-01-23,14:00:00,3531.79,3531.91,3531.13,3531.40,0,0\n2006-01-23,14:05:00,3531.33,3531.72,3529.09,3531.72,0,0\n2006-01-23,14:10:00,3531.88,3534.04,3531.59,3534.04,0,0\n2006-01-23,14:15:00,3533.81,3535.00,3533.81,3534.85,0,0\n2006-01-23,14:20:00,3534.55,3534.76,3533.17,3533.27,0,0\n2006-01-23,14:25:00,3533.30,3534.75,3533.22,3534.45,0,0\n2006-01-23,14:30:00,3534.70,3534.88,3533.66,3534.19,0,0\n2006-01-23,14:35:00,3533.91,3534.18,3532.57,3533.46,0,0\n2006-01-23,14:40:00,3532.50,3533.56,3532.50,3533.14,0,0\n2006-01-23,14:45:00,3533.09,3533.09,3532.02,3532.88,0,0\n2006-01-23,14:50:00,3532.77,3535.73,3532.77,3535.60,0,0\n2006-01-23,14:55:00,3535.36,3535.60,3532.44,3533.43,0,0\n2006-01-23,15:00:00,3533.67,3534.06,3531.56,3531.56,0,0\n2006-01-23,15:05:00,3531.33,3532.22,3529.93,3532.22,0,0\n2006-01-23,15:10:00,3531.75,3532.30,3531.19,3532.20,0,0\n2006-01-23,15:15:00,3532.19,3532.19,3530.78,3531.40,0,0\n2006-01-23,15:20:00,3531.53,3532.08,3531.35,3532.08,0,0\n2006-01-23,15:25:00,3532.00,3532.74,3531.60,3532.74,0,0\n2006-01-23,15:30:00,3532.66,3533.58,3532.66,3533.37,0,0\n2006-01-23,15:35:00,3533.19,3533.36,3531.55,3532.10,0,0\n2006-01-23,15:40:00,3532.08,3532.68,3531.27,3532.68,0,0\n2006-01-23,15:45:00,3532.66,3533.00,3531.71,3532.69,0,0\n2006-01-23,15:50:00,3532.69,3532.72,3530.21,3531.60,0,0\n2006-01-23,15:55:00,3531.78,3532.57,3531.44,3531.66,0,0\n2006-01-23,16:00:00,3531.46,3531.95,3528.88,3529.03,0,0\n2006-01-23,16:05:00,3527.17,3527.17,3522.61,3523.47,0,0\n2006-01-23,16:10:00,3523.40,3524.05,3521.89,3523.35,0,0\n2006-01-23,16:15:00,3523.92,3528.43,3523.92,3528.43,0,0\n2006-01-23,16:20:00,3528.13,3529.30,3527.23,3527.23,0,0\n2006-01-23,16:25:00,3527.23,3533.40,3526.85,3533.40,0,0\n2006-01-23,16:30:00,3533.32,3535.60,3533.32,3533.65,0,0\n2006-01-23,16:35:00,3533.39,3535.12,3531.01,3531.01,0,0\n2006-01-23,16:40:00,3530.77,3531.39,3529.78,3530.26,0,0\n2006-01-23,16:45:00,3530.09,3530.26,3527.78,3530.26,0,0\n2006-01-23,16:50:00,3530.74,3534.45,3530.74,3532.05,0,0\n2006-01-23,16:55:00,3532.11,3533.84,3532.03,3533.00,0,0\n2006-01-23,17:00:00,3533.28,3537.33,3533.28,3536.17,0,0\n2006-01-23,17:05:00,3535.93,3538.85,3534.75,3538.37,0,0\n2006-01-23,17:10:00,3538.16,3540.65,3538.02,3540.02,0,0\n2006-01-23,17:15:00,3540.83,3545.85,3540.83,3545.13,0,0\n2006-01-23,17:20:00,3544.96,3545.00,3543.91,3544.28,0,0\n2006-01-23,17:25:00,3544.32,3544.67,3543.63,3544.04,0,0\n2006-01-23,17:30:00,3543.91,3544.73,3543.91,3544.31,0,0\n2006-01-24,09:05:00,3544.78,3549.28,3544.78,3549.21,0,0\n2006-01-24,09:10:00,3549.95,3550.83,3543.75,3543.75,0,0\n2006-01-24,09:15:00,3542.61,3546.05,3541.97,3545.17,0,0\n2006-01-24,09:20:00,3545.18,3546.66,3543.88,3544.47,0,0\n2006-01-24,09:25:00,3544.57,3544.57,3539.13,3539.13,0,0\n2006-01-24,09:30:00,3538.59,3539.61,3536.86,3536.86,0,0\n2006-01-24,09:35:00,3537.21,3539.09,3536.79,3538.77,0,0\n2006-01-24,09:40:00,3538.57,3541.21,3538.57,3539.70,0,0\n2006-01-24,09:45:00,3539.60,3539.60,3535.26,3535.32,0,0\n2006-01-24,09:50:00,3535.59,3536.22,3532.83,3533.90,0,0\n2006-01-24,09:55:00,3533.77,3534.01,3530.96,3531.79,0,0\n2006-01-24,10:00:00,3532.44,3534.29,3532.44,3533.82,0,0\n2006-01-24,10:05:00,3534.01,3536.69,3533.93,3536.56,0,0\n2006-01-24,10:10:00,3536.54,3536.97,3536.01,3536.27,0,0\n2006-01-24,10:15:00,3536.53,3539.79,3536.53,3539.62,0,0\n2006-01-24,10:20:00,3539.23,3539.66,3537.01,3537.38,0,0\n2006-01-24,10:25:00,3537.34,3539.44,3537.34,3538.24,0,0\n2006-01-24,10:30:00,3538.24,3539.04,3537.05,3537.05,0,0\n2006-01-24,10:35:00,3537.34,3537.95,3536.15,3537.68,0,0\n2006-01-24,10:40:00,3537.98,3537.98,3537.40,3537.88,0,0\n2006-01-24,10:45:00,3537.58,3538.34,3535.49,3535.49,0,0\n2006-01-24,10:50:00,3534.75,3535.81,3534.43,3534.43,0,0\n2006-01-24,10:55:00,3534.13,3534.13,3531.58,3532.66,0,0\n2006-01-24,11:00:00,3532.74,3534.17,3532.17,3533.06,0,0\n2006-01-24,11:05:00,3533.26,3534.15,3532.53,3533.54,0,0\n2006-01-24,11:10:00,3533.61,3534.35,3533.56,3534.13,0,0\n2006-01-24,11:15:00,3534.46,3534.64,3532.97,3532.97,0,0\n2006-01-24,11:20:00,3532.87,3532.87,3528.92,3528.99,0,0\n2006-01-24,11:25:00,3529.18,3532.79,3529.11,3532.79,0,0\n2006-01-24,11:30:00,3532.83,3533.09,3532.12,3532.59,0,0\n2006-01-24,11:35:00,3532.81,3534.49,3532.62,3533.76,0,0\n2006-01-24,11:40:00,3533.89,3535.14,3533.89,3535.14,0,0\n2006-01-24,11:45:00,3535.07,3535.32,3534.13,3534.40,0,0\n2006-01-24,11:50:00,3534.11,3534.11,3532.80,3532.80,0,0\n2006-01-24,11:55:00,3532.85,3533.41,3532.06,3533.41,0,0\n2006-01-24,12:00:00,3532.81,3533.95,3532.81,3533.32,0,0\n2006-01-24,12:05:00,3533.16,3533.60,3531.61,3532.12,0,0\n2006-01-24,12:10:00,3531.89,3532.80,3531.59,3532.45,0,0\n2006-01-24,12:15:00,3532.68,3535.26,3532.68,3534.93,0,0\n2006-01-24,12:20:00,3534.68,3534.90,3533.65,3534.61,0,0\n2006-01-24,12:25:00,3534.39,3535.06,3534.35,3534.43,0,0\n2006-01-24,12:30:00,3534.38,3534.69,3532.70,3533.28,0,0\n2006-01-24,12:35:00,3533.54,3535.90,3533.54,3535.90,0,0\n2006-01-24,12:40:00,3536.07,3539.66,3536.07,3539.66,0,0\n2006-01-24,12:45:00,3539.76,3540.68,3538.61,3538.64,0,0\n2006-01-24,12:50:00,3538.70,3539.84,3538.35,3539.71,0,0\n2006-01-24,12:55:00,3539.20,3539.57,3538.73,3539.50,0,0\n2006-01-24,13:00:00,3539.60,3541.25,3539.60,3540.87,0,0\n2006-01-24,13:05:00,3541.06,3541.23,3539.80,3540.10,0,0\n2006-01-24,13:10:00,3540.53,3541.25,3540.19,3541.05,0,0\n2006-01-24,13:15:00,3541.04,3541.68,3540.17,3540.55,0,0\n2006-01-24,13:20:00,3539.79,3539.97,3539.15,3539.59,0,0\n2006-01-24,13:25:00,3539.45,3540.75,3539.39,3540.75,0,0\n2006-01-24,13:30:00,3540.88,3542.23,3540.88,3542.23,0,0\n2006-01-24,13:35:00,3542.12,3543.01,3542.12,3542.88,0,0\n2006-01-24,13:40:00,3542.62,3542.92,3541.83,3542.64,0,0\n2006-01-24,13:45:00,3542.37,3542.85,3542.18,3542.46,0,0\n2006-01-24,13:50:00,3542.14,3542.83,3541.08,3542.66,0,0\n2006-01-24,13:55:00,3542.56,3544.17,3542.47,3542.47,0,0\n2006-01-24,14:00:00,3542.52,3543.14,3542.14,3542.93,0,0\n2006-01-24,14:05:00,3543.11,3543.11,3539.15,3539.15,0,0\n2006-01-24,14:10:00,3539.74,3539.92,3539.30,3539.52,0,0\n2006-01-24,14:15:00,3539.18,3539.19,3537.69,3538.00,0,0\n2006-01-24,14:20:00,3537.77,3539.83,3537.77,3539.38,0,0\n2006-01-24,14:25:00,3539.46,3540.84,3539.33,3540.02,0,0\n2006-01-24,14:30:00,3539.70,3541.20,3539.50,3541.20,0,0\n2006-01-24,14:35:00,3541.12,3542.57,3541.03,3542.28,0,0\n2006-01-24,14:40:00,3542.46,3542.82,3542.01,3542.16,0,0\n2006-01-24,14:45:00,3542.24,3542.96,3542.08,3542.48,0,0\n2006-01-24,14:50:00,3542.30,3542.30,3540.63,3542.08,0,0\n2006-01-24,14:55:00,3542.07,3542.29,3540.81,3540.93,0,0\n2006-01-24,15:00:00,3540.82,3541.02,3539.43,3540.24,0,0\n2006-01-24,15:05:00,3540.33,3540.33,3538.32,3539.18,0,0\n2006-01-24,15:10:00,3539.49,3540.77,3539.49,3540.33,0,0\n2006-01-24,15:15:00,3540.58,3541.24,3540.53,3540.70,0,0\n2006-01-24,15:20:00,3541.05,3541.33,3540.54,3541.20,0,0\n2006-01-24,15:25:00,3541.44,3541.70,3540.74,3540.74,0,0\n2006-01-24,15:30:00,3540.76,3541.15,3540.15,3541.15,0,0\n2006-01-24,15:35:00,3540.55,3542.68,3540.49,3542.68,0,0\n2006-01-24,15:40:00,3542.70,3544.97,3542.70,3544.12,0,0\n2006-01-24,15:45:00,3544.38,3544.71,3543.40,3543.40,0,0\n2006-01-24,15:50:00,3544.48,3546.24,3544.48,3546.24,0,0\n2006-01-24,15:55:00,3546.21,3548.53,3546.08,3548.26,0,0\n2006-01-24,16:00:00,3548.63,3550.64,3548.63,3550.23,0,0\n2006-01-24,16:05:00,3550.25,3550.86,3548.30,3549.24,0,0\n2006-01-24,16:10:00,3549.29,3549.29,3548.21,3548.49,0,0\n2006-01-24,16:15:00,3548.10,3548.39,3546.74,3547.52,0,0\n2006-01-24,16:20:00,3547.92,3548.45,3547.44,3548.36,0,0\n2006-01-24,16:25:00,3549.33,3553.16,3549.33,3550.27,0,0\n2006-01-24,16:30:00,3549.93,3549.95,3543.97,3544.73,0,0\n2006-01-24,16:35:00,3544.63,3545.54,3543.61,3545.35,0,0\n2006-01-24,16:40:00,3545.40,3546.64,3545.11,3546.39,0,0\n2006-01-24,16:45:00,3546.11,3548.64,3545.58,3548.03,0,0\n2006-01-24,16:50:00,3547.37,3548.85,3546.72,3546.72,0,0\n2006-01-24,16:55:00,3546.54,3548.88,3545.49,3545.49,0,0\n2006-01-24,17:00:00,3543.92,3543.92,3540.78,3540.82,0,0\n2006-01-24,17:05:00,3540.97,3540.97,3538.17,3538.28,0,0\n2006-01-24,17:10:00,3538.04,3538.09,3529.39,3530.65,0,0\n2006-01-24,17:15:00,3531.12,3532.30,3526.44,3526.44,0,0\n2006-01-24,17:20:00,3526.37,3529.03,3526.37,3527.59,0,0\n2006-01-24,17:25:00,3528.51,3531.66,3528.51,3530.97,0,0\n2006-01-24,17:30:00,3530.79,3533.11,3530.67,3532.68,0,0\n2006-01-25,09:05:00,3532.72,3546.45,3532.72,3545.92,0,0\n2006-01-25,09:10:00,3545.62,3546.08,3544.09,3544.93,0,0\n2006-01-25,09:15:00,3544.73,3544.73,3542.12,3543.89,0,0\n2006-01-25,09:20:00,3543.97,3546.58,3542.16,3546.19,0,0\n2006-01-25,09:25:00,3546.58,3548.03,3544.96,3548.03,0,0\n2006-01-25,09:30:00,3547.97,3549.32,3545.08,3545.08,0,0\n2006-01-25,09:35:00,3543.51,3548.44,3543.51,3547.87,0,0\n2006-01-25,09:40:00,3547.44,3547.84,3544.16,3544.16,0,0\n2006-01-25,09:45:00,3544.58,3548.59,3544.58,3547.91,0,0\n2006-01-25,09:50:00,3547.96,3549.72,3547.78,3548.29,0,0\n2006-01-25,09:55:00,3548.03,3551.50,3547.56,3550.28,0,0\n2006-01-25,10:00:00,3550.38,3551.63,3549.43,3551.10,0,0\n2006-01-25,10:05:00,3551.29,3557.57,3551.29,3557.21,0,0\n2006-01-25,10:10:00,3557.40,3557.40,3554.99,3555.35,0,0\n2006-01-25,10:15:00,3555.42,3555.42,3553.87,3553.91,0,0\n2006-01-25,10:20:00,3553.35,3557.35,3553.35,3557.33,0,0\n2006-01-25,10:25:00,3557.70,3557.91,3555.89,3556.79,0,0\n2006-01-25,10:30:00,3555.96,3556.08,3553.28,3553.53,0,0\n2006-01-25,10:35:00,3553.61,3555.45,3553.44,3555.45,0,0\n2006-01-25,10:40:00,3555.12,3556.53,3554.76,3555.97,0,0\n2006-01-25,10:45:00,3555.72,3555.94,3554.79,3555.50,0,0\n2006-01-25,10:50:00,3555.22,3555.22,3552.42,3553.54,0,0\n2006-01-25,10:55:00,3552.82,3554.47,3552.82,3554.25,0,0\n2006-01-25,11:00:00,3554.42,3554.52,3553.14,3553.67,0,0\n2006-01-25,11:05:00,3553.70,3557.71,3553.70,3556.32,0,0\n2006-01-25,11:10:00,3556.54,3557.23,3556.11,3556.11,0,0\n2006-01-25,11:15:00,3556.35,3558.16,3556.24,3557.56,0,0\n2006-01-25,11:20:00,3557.79,3559.41,3557.23,3558.67,0,0\n2006-01-25,11:25:00,3558.41,3559.06,3558.01,3558.03,0,0\n2006-01-25,11:30:00,3558.10,3559.52,3558.08,3559.11,0,0\n2006-01-25,11:35:00,3559.15,3560.72,3559.15,3560.67,0,0\n2006-01-25,11:40:00,3561.19,3562.61,3561.19,3561.89,0,0\n2006-01-25,11:45:00,3561.14,3563.39,3561.06,3562.85,0,0\n2006-01-25,11:50:00,3562.95,3565.12,3562.89,3563.34,0,0\n2006-01-25,11:55:00,3563.03,3563.29,3562.26,3562.69,0,0\n2006-01-25,12:00:00,3562.94,3563.88,3562.57,3563.88,0,0\n2006-01-25,12:05:00,3563.09,3563.67,3562.09,3562.09,0,0\n2006-01-25,12:10:00,3562.19,3562.38,3561.75,3561.98,0,0\n2006-01-25,12:15:00,3562.23,3564.92,3562.22,3564.63,0,0\n2006-01-25,12:20:00,3564.41,3565.18,3563.68,3564.94,0,0\n2006-01-25,12:25:00,3564.88,3566.18,3564.76,3566.10,0,0\n2006-01-25,12:30:00,3566.15,3566.15,3563.93,3564.43,0,0\n2006-01-25,12:35:00,3564.24,3564.76,3563.32,3563.87,0,0\n2006-01-25,12:40:00,3563.21,3563.89,3563.16,3563.75,0,0\n2006-01-25,12:45:00,3563.67,3563.67,3561.60,3561.94,0,0\n2006-01-25,12:50:00,3561.84,3561.84,3560.01,3560.43,0,0\n2006-01-25,12:55:00,3560.28,3561.04,3560.13,3560.42,0,0\n2006-01-25,13:00:00,3559.95,3560.08,3559.07,3559.27,0,0\n2006-01-25,13:05:00,3558.67,3560.05,3558.51,3559.35,0,0\n2006-01-25,13:10:00,3559.51,3561.41,3559.51,3561.41,0,0\n2006-01-25,13:15:00,3561.10,3562.31,3561.10,3562.12,0,0\n2006-01-25,13:20:00,3562.17,3564.48,3562.17,3564.48,0,0\n2006-01-25,13:25:00,3564.24,3565.25,3564.11,3564.11,0,0\n2006-01-25,13:30:00,3564.69,3565.13,3564.32,3564.94,0,0\n2006-01-25,13:35:00,3565.15,3566.47,3564.80,3566.47,0,0\n2006-01-25,13:40:00,3567.11,3567.65,3566.03,3566.13,0,0\n2006-01-25,13:45:00,3566.38,3567.84,3566.30,3567.84,0,0\n2006-01-25,13:50:00,3568.07,3568.58,3566.71,3566.86,0,0\n2006-01-25,13:55:00,3566.59,3566.59,3565.16,3565.27,0,0\n2006-01-25,14:00:00,3565.12,3565.42,3563.36,3563.75,0,0\n2006-01-25,14:05:00,3563.88,3565.02,3563.80,3564.60,0,0\n2006-01-25,14:10:00,3564.41,3566.26,3564.00,3566.26,0,0\n2006-01-25,14:15:00,3566.84,3566.98,3564.96,3565.15,0,0\n2006-01-25,14:20:00,3565.17,3565.37,3564.12,3564.67,0,0\n2006-01-25,14:25:00,3564.62,3565.70,3564.62,3565.30,0,0\n2006-01-25,14:30:00,3565.10,3566.21,3565.04,3565.80,0,0\n2006-01-25,14:35:00,3565.98,3566.59,3565.84,3566.42,0,0\n2006-01-25,14:40:00,3566.48,3566.54,3563.85,3563.85,0,0\n2006-01-25,14:45:00,3564.01,3566.42,3564.01,3566.20,0,0\n2006-01-25,14:50:00,3566.27,3566.34,3564.84,3565.53,0,0\n2006-01-25,14:55:00,3565.94,3566.74,3565.73,3566.74,0,0\n2006-01-25,15:00:00,3566.95,3567.82,3566.72,3567.13,0,0\n2006-01-25,15:05:00,3567.40,3568.02,3567.40,3567.79,0,0\n2006-01-25,15:10:00,3567.80,3568.01,3566.33,3568.01,0,0\n2006-01-25,15:15:00,3568.16,3568.59,3566.81,3567.28,0,0\n2006-01-25,15:20:00,3567.21,3567.74,3566.68,3567.03,0,0\n2006-01-25,15:25:00,3567.19,3568.27,3566.83,3568.14,0,0\n2006-01-25,15:30:00,3567.81,3569.87,3567.81,3569.67,0,0\n2006-01-25,15:35:00,3569.90,3570.54,3568.59,3569.20,0,0\n2006-01-25,15:40:00,3569.22,3569.30,3566.89,3567.19,0,0\n2006-01-25,15:45:00,3567.35,3567.35,3563.82,3564.46,0,0\n2006-01-25,15:50:00,3564.12,3566.42,3563.03,3566.42,0,0\n2006-01-25,15:55:00,3567.05,3568.74,3566.60,3568.74,0,0\n2006-01-25,16:00:00,3568.89,3569.20,3566.69,3566.92,0,0\n2006-01-25,16:05:00,3567.17,3572.97,3566.38,3572.82,0,0\n2006-01-25,16:10:00,3572.71,3573.03,3566.65,3566.65,0,0\n2006-01-25,16:15:00,3566.17,3566.17,3561.78,3564.35,0,0\n2006-01-25,16:20:00,3564.05,3565.12,3563.30,3564.43,0,0\n2006-01-25,16:25:00,3564.52,3564.56,3555.15,3555.15,0,0\n2006-01-25,16:30:00,3554.67,3556.88,3554.49,3556.88,0,0\n2006-01-25,16:35:00,3557.30,3558.00,3549.99,3549.99,0,0\n2006-01-25,16:40:00,3550.51,3555.85,3550.51,3555.79,0,0\n2006-01-25,16:45:00,3555.51,3556.03,3554.16,3556.03,0,0\n2006-01-25,16:50:00,3555.92,3560.91,3554.15,3560.52,0,0\n2006-01-25,16:55:00,3560.55,3564.09,3559.92,3562.80,0,0\n2006-01-25,17:00:00,3562.32,3562.49,3560.48,3561.57,0,0\n2006-01-25,17:05:00,3561.90,3568.43,3561.45,3567.04,0,0\n2006-01-25,17:10:00,3568.04,3568.24,3565.19,3565.24,0,0\n2006-01-25,17:15:00,3565.29,3567.24,3565.23,3566.44,0,0\n2006-01-25,17:20:00,3566.03,3572.44,3565.95,3571.84,0,0\n2006-01-25,17:25:00,3572.69,3575.61,3572.69,3573.76,0,0\n2006-01-25,17:30:00,3573.38,3578.00,3573.21,3578.00,0,0\n2006-01-26,09:05:00,3578.92,3590.22,3577.98,3590.22,0,0\n2006-01-26,09:10:00,3590.11,3598.00,3590.11,3598.00,0,0\n2006-01-26,09:15:00,3600.30,3610.06,3600.30,3606.78,0,0\n2006-01-26,09:20:00,3607.45,3608.95,3606.84,3608.40,0,0\n2006-01-26,09:25:00,3608.14,3610.32,3606.01,3610.32,0,0\n2006-01-26,09:30:00,3609.58,3612.38,3609.16,3609.79,0,0\n2006-01-26,09:35:00,3609.17,3611.32,3609.17,3611.22,0,0\n2006-01-26,09:40:00,3611.03,3613.81,3611.03,3612.64,0,0\n2006-01-26,09:45:00,3611.67,3611.67,3608.35,3609.58,0,0\n2006-01-26,09:50:00,3609.86,3609.97,3607.59,3608.07,0,0\n2006-01-26,09:55:00,3608.03,3608.31,3606.93,3608.05,0,0\n2006-01-26,10:00:00,3607.50,3609.44,3606.82,3608.73,0,0\n2006-01-26,10:05:00,3609.05,3614.66,3609.05,3613.96,0,0\n2006-01-26,10:10:00,3614.54,3624.86,3614.53,3624.25,0,0\n2006-01-26,10:15:00,3623.28,3623.88,3620.58,3620.77,0,0\n2006-01-26,10:20:00,3620.47,3622.71,3620.47,3621.44,0,0\n2006-01-26,10:25:00,3621.07,3628.49,3621.07,3628.49,0,0\n2006-01-26,10:30:00,3627.98,3637.73,3627.27,3637.06,0,0\n2006-01-26,10:35:00,3635.73,3635.73,3630.59,3631.40,0,0\n2006-01-26,10:40:00,3631.14,3631.63,3628.35,3629.26,0,0\n2006-01-26,10:45:00,3629.21,3630.53,3627.53,3630.04,0,0\n2006-01-26,10:50:00,3630.69,3640.93,3630.69,3636.56,0,0\n2006-01-26,10:55:00,3635.67,3635.67,3633.00,3633.21,0,0\n2006-01-26,11:00:00,3632.93,3632.93,3627.42,3627.42,0,0\n2006-01-26,11:05:00,3627.61,3635.51,3627.61,3632.51,0,0\n2006-01-26,11:10:00,3632.37,3633.21,3620.79,3630.09,0,0\n2006-01-26,11:15:00,3628.80,3629.14,3624.38,3624.38,0,0\n2006-01-26,11:20:00,3623.77,3628.03,3622.37,3627.05,0,0\n2006-01-26,11:25:00,3627.16,3628.39,3626.23,3626.23,0,0\n2006-01-26,11:30:00,3626.44,3627.76,3625.40,3627.57,0,0\n2006-01-26,11:35:00,3627.45,3627.45,3622.96,3623.09,0,0\n2006-01-26,11:40:00,3622.91,3625.26,3622.91,3625.26,0,0\n2006-01-26,11:45:00,3625.15,3633.76,3624.62,3633.08,0,0\n2006-01-26,11:50:00,3632.43,3633.12,3631.86,3632.38,0,0\n2006-01-26,11:55:00,3632.98,3639.39,3632.67,3638.37,0,0\n2006-01-26,12:00:00,3635.52,3638.56,3632.10,3634.28,0,0\n2006-01-26,12:05:00,3634.74,3634.74,3628.38,3628.55,0,0\n2006-01-26,12:10:00,3627.76,3627.76,3626.10,3626.10,0,0\n2006-01-26,12:15:00,3627.61,3630.51,3627.61,3628.82,0,0\n2006-01-26,12:20:00,3629.09,3629.09,3626.50,3628.03,0,0\n2006-01-26,12:25:00,3627.43,3627.81,3625.51,3626.02,0,0\n2006-01-26,12:30:00,3626.12,3627.22,3625.78,3626.87,0,0\n2006-01-26,12:35:00,3626.70,3628.34,3626.70,3627.33,0,0\n2006-01-26,12:40:00,3627.44,3627.70,3625.58,3625.91,0,0\n2006-01-26,12:45:00,3625.71,3628.10,3625.34,3627.97,0,0\n2006-01-26,12:50:00,3628.43,3630.04,3628.22,3629.21,0,0\n2006-01-26,12:55:00,3628.95,3630.79,3628.95,3629.97,0,0\n2006-01-26,13:00:00,3629.80,3629.80,3628.08,3628.11,0,0\n2006-01-26,13:05:00,3628.38,3628.99,3627.51,3627.61,0,0\n2006-01-26,13:10:00,3627.66,3627.66,3626.90,3627.11,0,0\n2006-01-26,13:15:00,3626.95,3627.99,3626.78,3627.99,0,0\n2006-01-26,13:20:00,3628.31,3628.31,3626.84,3627.05,0,0\n2006-01-26,13:25:00,3627.07,3627.07,3626.37,3626.63,0,0\n2006-01-26,13:30:00,3626.80,3628.86,3626.75,3628.86,0,0\n2006-01-26,13:35:00,3628.55,3630.64,3628.12,3630.40,0,0\n2006-01-26,13:40:00,3631.00,3631.00,3629.54,3629.54,0,0\n2006-01-26,13:45:00,3629.93,3631.00,3629.78,3630.60,0,0\n2006-01-26,13:50:00,3630.73,3632.76,3630.33,3631.66,0,0\n2006-01-26,13:55:00,3631.53,3631.54,3629.93,3629.99,0,0\n2006-01-26,14:00:00,3629.91,3630.31,3629.22,3629.48,0,0\n2006-01-26,14:05:00,3629.58,3630.76,3627.96,3628.59,0,0\n2006-01-26,14:10:00,3628.57,3629.27,3627.57,3629.27,0,0\n2006-01-26,14:15:00,3628.99,3631.93,3628.96,3631.72,0,0\n2006-01-26,14:20:00,3631.50,3631.50,3630.46,3631.05,0,0\n2006-01-26,14:25:00,3630.87,3632.17,3630.87,3631.35,0,0\n2006-01-26,14:30:00,3630.61,3630.61,3629.42,3629.65,0,0\n2006-01-26,14:35:00,3629.68,3630.72,3625.50,3625.51,0,0\n2006-01-26,14:40:00,3625.70,3625.70,3622.38,3623.16,0,0\n2006-01-26,14:45:00,3623.98,3624.19,3622.77,3623.87,0,0\n2006-01-26,14:50:00,3623.66,3623.66,3621.55,3621.55,0,0\n2006-01-26,14:55:00,3621.39,3621.39,3619.88,3619.88,0,0\n2006-01-26,15:00:00,3619.59,3622.18,3618.79,3622.18,0,0\n2006-01-26,15:05:00,3622.88,3623.68,3620.97,3620.97,0,0\n2006-01-26,15:10:00,3620.93,3622.82,3620.61,3622.31,0,0\n2006-01-26,15:15:00,3622.38,3623.66,3622.36,3622.96,0,0\n2006-01-26,15:20:00,3623.13,3623.33,3621.24,3621.93,0,0\n2006-01-26,15:25:00,3621.95,3622.27,3621.18,3621.18,0,0\n2006-01-26,15:30:00,3621.11,3622.07,3620.71,3622.07,0,0\n2006-01-26,15:35:00,3622.52,3623.94,3622.06,3622.82,0,0\n2006-01-26,15:40:00,3623.12,3626.00,3623.12,3625.94,0,0\n2006-01-26,15:45:00,3624.53,3624.53,3621.75,3621.75,0,0\n2006-01-26,15:50:00,3621.67,3622.14,3619.91,3619.91,0,0\n2006-01-26,15:55:00,3620.03,3626.37,3619.12,3626.13,0,0\n2006-01-26,16:00:00,3625.88,3625.88,3623.52,3623.55,0,0\n2006-01-26,16:05:00,3622.12,3622.31,3620.86,3621.87,0,0\n2006-01-26,16:10:00,3622.24,3629.74,3620.81,3629.74,0,0\n2006-01-26,16:15:00,3629.96,3630.52,3626.98,3628.70,0,0\n2006-01-26,16:20:00,3628.34,3628.46,3623.69,3623.69,0,0\n2006-01-26,16:25:00,3624.04,3624.74,3621.81,3624.74,0,0\n2006-01-26,16:30:00,3624.56,3624.56,3622.43,3622.43,0,0\n2006-01-26,16:35:00,3622.61,3629.15,3622.61,3625.63,0,0\n2006-01-26,16:40:00,3624.98,3624.98,3618.76,3618.76,0,0\n2006-01-26,16:45:00,3618.91,3622.95,3618.91,3622.30,0,0\n2006-01-26,16:50:00,3622.13,3626.72,3621.80,3626.72,0,0\n2006-01-26,16:55:00,3626.68,3629.66,3626.60,3629.55,0,0\n2006-01-26,17:00:00,3629.31,3636.50,3627.75,3636.50,0,0\n2006-01-26,17:05:00,3636.57,3636.57,3630.97,3634.53,0,0\n2006-01-26,17:10:00,3634.56,3634.56,3631.74,3632.14,0,0\n2006-01-26,17:15:00,3631.90,3633.00,3631.57,3632.67,0,0\n2006-01-26,17:20:00,3632.73,3634.16,3630.64,3631.44,0,0\n2006-01-26,17:25:00,3631.34,3634.86,3631.34,3634.83,0,0\n2006-01-26,17:30:00,3634.95,3641.42,3634.90,3641.42,0,0\n2006-01-27,09:05:00,3643.35,3677.29,3643.35,3677.29,0,0\n2006-01-27,09:10:00,3676.45,3678.85,3676.13,3678.07,0,0\n2006-01-27,09:15:00,3677.25,3677.25,3673.76,3673.76,0,0\n2006-01-27,09:20:00,3673.78,3675.79,3671.68,3671.70,0,0\n2006-01-27,09:25:00,3670.74,3671.62,3669.46,3671.29,0,0\n2006-01-27,09:30:00,3671.88,3674.19,3671.42,3674.19,0,0\n2006-01-27,09:35:00,3674.10,3676.66,3674.10,3675.54,0,0\n2006-01-27,09:40:00,3675.33,3675.33,3673.68,3674.38,0,0\n2006-01-27,09:45:00,3674.63,3674.71,3672.46,3672.46,0,0\n2006-01-27,09:50:00,3672.62,3675.24,3671.86,3674.54,0,0\n2006-01-27,09:55:00,3674.25,3674.25,3672.54,3673.36,0,0\n2006-01-27,10:00:00,3673.96,3676.34,3673.07,3673.43,0,0\n2006-01-27,10:05:00,3673.16,3673.31,3672.16,3672.25,0,0\n2006-01-27,10:10:00,3672.43,3678.88,3671.96,3677.23,0,0\n2006-01-27,10:15:00,3677.14,3678.49,3676.39,3676.39,0,0\n2006-01-27,10:20:00,3676.26,3677.70,3674.26,3674.79,0,0\n2006-01-27,10:25:00,3675.37,3675.98,3671.37,3671.37,0,0\n2006-01-27,10:30:00,3671.42,3671.61,3667.04,3669.94,0,0\n2006-01-27,10:35:00,3669.52,3669.91,3666.37,3668.12,0,0\n2006-01-27,10:40:00,3667.87,3668.86,3666.56,3668.62,0,0\n2006-01-27,10:45:00,3668.40,3672.11,3668.40,3671.91,0,0\n2006-01-27,10:50:00,3672.30,3672.30,3670.08,3670.23,0,0\n2006-01-27,10:55:00,3670.78,3670.78,3668.96,3669.80,0,0\n2006-01-27,11:00:00,3670.06,3670.06,3666.73,3666.73,0,0\n2006-01-27,11:05:00,3667.07,3670.27,3666.70,3669.90,0,0\n2006-01-27,11:10:00,3669.23,3671.40,3668.94,3671.40,0,0\n2006-01-27,11:15:00,3671.59,3671.99,3670.45,3670.45,0,0\n2006-01-27,11:20:00,3670.77,3670.84,3669.91,3670.38,0,0\n2006-01-27,11:25:00,3669.93,3669.93,3668.72,3668.99,0,0\n2006-01-27,11:30:00,3669.25,3669.25,3667.06,3667.06,0,0\n2006-01-27,11:35:00,3666.81,3666.81,3664.92,3666.70,0,0\n2006-01-27,11:40:00,3666.19,3667.23,3665.98,3666.89,0,0\n2006-01-27,11:45:00,3666.31,3666.77,3665.38,3665.38,0,0\n2006-01-27,11:50:00,3664.99,3666.68,3664.62,3665.60,0,0\n2006-01-27,11:55:00,3665.04,3665.26,3663.74,3664.04,0,0\n2006-01-27,12:00:00,3664.41,3664.41,3662.72,3662.87,0,0\n2006-01-27,12:05:00,3663.83,3663.83,3662.21,3662.83,0,0\n2006-01-27,12:10:00,3662.61,3664.83,3662.61,3664.83,0,0\n2006-01-27,12:15:00,3665.51,3666.64,3665.05,3665.05,0,0\n2006-01-27,12:20:00,3665.15,3665.15,3664.00,3664.72,0,0\n2006-01-27,12:25:00,3664.39,3664.64,3663.39,3663.39,0,0\n2006-01-27,12:30:00,3663.32,3664.44,3663.32,3664.32,0,0\n2006-01-27,12:35:00,3663.94,3664.64,3663.75,3664.17,0,0\n2006-01-27,12:40:00,3664.34,3664.65,3663.96,3664.25,0,0\n2006-01-27,12:45:00,3664.31,3665.18,3664.20,3665.18,0,0\n2006-01-27,12:50:00,3665.27,3666.64,3665.27,3666.04,0,0\n2006-01-27,12:55:00,3666.18,3668.87,3666.18,3668.23,0,0\n2006-01-27,13:00:00,3668.27,3668.52,3667.33,3667.33,0,0\n2006-01-27,13:05:00,3667.44,3667.54,3666.44,3666.65,0,0\n2006-01-27,13:10:00,3666.98,3667.61,3666.58,3667.49,0,0\n2006-01-27,13:15:00,3667.72,3668.23,3667.35,3667.65,0,0\n2006-01-27,13:20:00,3667.28,3667.54,3665.69,3666.11,0,0\n2006-01-27,13:25:00,3665.94,3666.12,3665.67,3665.69,0,0\n2006-01-27,13:30:00,3665.35,3665.45,3664.30,3664.57,0,0\n2006-01-27,13:35:00,3664.84,3665.27,3664.19,3664.19,0,0\n2006-01-27,13:40:00,3664.13,3664.32,3662.42,3664.22,0,0\n2006-01-27,13:45:00,3664.34,3665.83,3664.04,3665.83,0,0\n2006-01-27,13:50:00,3665.96,3667.61,3665.77,3667.08,0,0\n2006-01-27,13:55:00,3667.05,3667.73,3666.91,3667.54,0,0\n2006-01-27,14:00:00,3667.13,3667.83,3666.95,3667.21,0,0\n2006-01-27,14:05:00,3666.94,3669.12,3666.60,3668.47,0,0\n2006-01-27,14:10:00,3668.70,3672.80,3668.34,3672.15,0,0\n2006-01-27,14:15:00,3671.88,3674.71,3671.25,3671.68,0,0\n2006-01-27,14:20:00,3671.79,3672.33,3671.50,3671.88,0,0\n2006-01-27,14:25:00,3671.95,3672.35,3670.01,3670.02,0,0\n2006-01-27,14:30:00,3670.08,3670.08,3668.02,3668.66,0,0\n2006-01-27,14:35:00,3668.69,3668.69,3658.18,3661.37,0,0\n2006-01-27,14:40:00,3660.91,3660.91,3649.80,3649.80,0,0\n2006-01-27,14:45:00,3649.94,3660.20,3649.94,3659.61,0,0\n2006-01-27,14:50:00,3658.54,3658.88,3656.23,3657.97,0,0\n2006-01-27,14:55:00,3657.68,3657.89,3655.94,3656.69,0,0\n2006-01-27,15:00:00,3656.76,3656.76,3651.00,3652.08,0,0\n2006-01-27,15:05:00,3651.97,3651.97,3650.32,3651.70,0,0\n2006-01-27,15:10:00,3652.06,3655.05,3652.06,3653.44,0,0\n2006-01-27,15:15:00,3653.54,3657.96,3653.54,3657.96,0,0\n2006-01-27,15:20:00,3658.14,3660.41,3658.14,3658.32,0,0\n2006-01-27,15:25:00,3657.83,3659.40,3657.03,3658.95,0,0\n2006-01-27,15:30:00,3658.91,3663.00,3658.91,3662.06,0,0\n2006-01-27,15:35:00,3662.17,3667.79,3661.86,3664.78,0,0\n2006-01-27,15:40:00,3663.40,3663.40,3659.74,3661.50,0,0\n2006-01-27,15:45:00,3661.48,3664.26,3661.25,3664.00,0,0\n2006-01-27,15:50:00,3663.65,3665.23,3663.46,3664.43,0,0\n2006-01-27,15:55:00,3663.48,3663.87,3660.48,3662.36,0,0\n2006-01-27,16:00:00,3662.69,3664.27,3662.62,3662.93,0,0\n2006-01-27,16:05:00,3663.61,3674.07,3663.33,3673.28,0,0\n2006-01-27,16:10:00,3673.27,3680.40,3673.27,3675.41,0,0\n2006-01-27,16:15:00,3675.68,3677.94,3675.08,3675.08,0,0\n2006-01-27,16:20:00,3674.71,3680.27,3674.71,3678.34,0,0\n2006-01-27,16:25:00,3678.10,3678.30,3675.51,3676.95,0,0\n2006-01-27,16:30:00,3677.05,3679.47,3675.68,3677.38,0,0\n2006-01-27,16:35:00,3677.80,3677.80,3672.66,3672.82,0,0\n2006-01-27,16:40:00,3673.56,3675.98,3673.08,3674.18,0,0\n2006-01-27,16:45:00,3674.28,3679.45,3674.28,3677.27,0,0\n2006-01-27,16:50:00,3679.35,3679.35,3676.09,3676.99,0,0\n2006-01-27,16:55:00,3677.47,3678.98,3677.47,3678.79,0,0\n2006-01-27,17:00:00,3678.90,3681.97,3678.28,3679.26,0,0\n2006-01-27,17:05:00,3678.97,3678.97,3676.09,3677.73,0,0\n2006-01-27,17:10:00,3677.83,3679.59,3677.83,3679.04,0,0\n2006-01-27,17:15:00,3678.96,3679.72,3677.79,3678.68,0,0\n2006-01-27,17:20:00,3678.58,3684.23,3678.58,3684.23,0,0\n2006-01-27,17:25:00,3683.92,3683.92,3681.77,3681.77,0,0\n2006-01-27,17:30:00,3682.13,3685.95,3681.78,3685.48,0,0\n2006-01-30,09:05:00,3684.38,3684.38,3675.05,3675.37,0,0\n2006-01-30,09:10:00,3672.25,3672.53,3667.92,3668.15,0,0\n2006-01-30,09:15:00,3667.24,3667.70,3664.45,3667.43,0,0\n2006-01-30,09:20:00,3668.00,3668.97,3666.95,3668.63,0,0\n2006-01-30,09:25:00,3669.01,3673.33,3669.01,3672.85,0,0\n2006-01-30,09:30:00,3673.21,3675.31,3672.91,3675.07,0,0\n2006-01-30,09:35:00,3673.87,3675.66,3672.30,3673.19,0,0\n2006-01-30,09:40:00,3673.32,3674.15,3672.41,3673.36,0,0\n2006-01-30,09:45:00,3673.10,3678.75,3672.84,3678.75,0,0\n2006-01-30,09:50:00,3677.89,3677.89,3675.55,3676.62,0,0\n2006-01-30,09:55:00,3676.95,3678.69,3676.78,3678.69,0,0\n2006-01-30,10:00:00,3679.48,3683.00,3678.45,3682.92,0,0\n2006-01-30,10:05:00,3682.99,3684.13,3681.67,3682.53,0,0\n2006-01-30,10:10:00,3683.06,3684.87,3683.06,3684.87,0,0\n2006-01-30,10:15:00,3684.98,3685.22,3682.94,3683.13,0,0\n2006-01-30,10:20:00,3683.71,3684.11,3682.69,3683.11,0,0\n2006-01-30,10:25:00,3683.40,3684.15,3682.19,3682.19,0,0\n2006-01-30,10:30:00,3682.55,3684.97,3682.55,3683.75,0,0\n2006-01-30,10:35:00,3683.62,3683.62,3681.62,3682.39,0,0\n2006-01-30,10:40:00,3682.93,3684.12,3682.66,3683.20,0,0\n2006-01-30,10:45:00,3681.53,3681.53,3677.82,3678.21,0,0\n2006-01-30,10:50:00,3678.09,3678.43,3675.60,3675.60,0,0\n2006-01-30,10:55:00,3675.80,3676.13,3673.06,3673.39,0,0\n2006-01-30,11:00:00,3673.63,3675.94,3673.47,3673.85,0,0\n2006-01-30,11:05:00,3674.03,3674.80,3673.94,3674.23,0,0\n2006-01-30,11:10:00,3674.37,3674.44,3671.28,3671.28,0,0\n2006-01-30,11:15:00,3671.09,3672.10,3669.57,3671.00,0,0\n2006-01-30,11:20:00,3671.18,3672.30,3670.95,3670.95,0,0\n2006-01-30,11:25:00,3671.01,3671.08,3670.59,3670.85,0,0\n2006-01-30,11:30:00,3671.66,3674.01,3671.54,3674.01,0,0\n2006-01-30,11:35:00,3673.98,3675.35,3673.92,3674.68,0,0\n2006-01-30,11:40:00,3674.01,3675.11,3673.62,3674.32,0,0\n2006-01-30,11:45:00,3674.14,3676.79,3674.14,3676.42,0,0\n2006-01-30,11:50:00,3676.55,3676.86,3675.35,3675.75,0,0\n2006-01-30,11:55:00,3675.32,3675.48,3674.17,3674.33,0,0\n2006-01-30,12:00:00,3674.60,3674.95,3673.73,3674.65,0,0\n2006-01-30,12:05:00,3674.54,3675.12,3674.32,3674.41,0,0\n2006-01-30,12:10:00,3674.32,3674.65,3673.42,3673.94,0,0\n2006-01-30,12:15:00,3674.22,3678.44,3674.02,3677.04,0,0\n2006-01-30,12:20:00,3677.04,3677.56,3676.52,3677.10,0,0\n2006-01-30,12:25:00,3677.36,3677.79,3676.93,3677.07,0,0\n2006-01-30,12:30:00,3677.22,3677.72,3676.92,3677.07,0,0\n2006-01-30,12:35:00,3677.05,3677.09,3676.04,3676.06,0,0\n2006-01-30,12:40:00,3676.09,3676.31,3675.40,3676.16,0,0\n2006-01-30,12:45:00,3676.42,3676.67,3675.57,3675.89,0,0\n2006-01-30,12:50:00,3676.25,3676.70,3675.12,3676.70,0,0\n2006-01-30,12:55:00,3676.75,3676.75,3675.60,3675.99,0,0\n2006-01-30,13:00:00,3676.08,3676.56,3675.54,3676.06,0,0\n2006-01-30,13:05:00,3675.75,3676.13,3675.72,3675.98,0,0\n2006-01-30,13:10:00,3675.81,3676.73,3675.81,3676.03,0,0\n2006-01-30,13:15:00,3675.83,3676.78,3675.83,3676.53,0,0\n2006-01-30,13:20:00,3676.24,3676.70,3674.89,3675.05,0,0\n2006-01-30,13:25:00,3674.72,3675.30,3674.55,3675.09,0,0\n2006-01-30,13:30:00,3675.08,3676.17,3674.80,3675.63,0,0\n2006-01-30,13:35:00,3675.68,3675.96,3673.72,3674.10,0,0\n2006-01-30,13:40:00,3674.06,3674.61,3673.72,3674.27,0,0\n2006-01-30,13:45:00,3674.45,3674.82,3674.03,3674.63,0,0\n2006-01-30,13:50:00,3674.49,3674.49,3672.70,3672.92,0,0\n2006-01-30,13:55:00,3672.43,3672.43,3671.06,3671.57,0,0\n2006-01-30,14:00:00,3671.95,3672.42,3671.61,3672.42,0,0\n2006-01-30,14:05:00,3672.39,3676.33,3672.39,3675.74,0,0\n2006-01-30,14:10:00,3675.72,3677.62,3675.46,3677.18,0,0\n2006-01-30,14:15:00,3677.02,3677.72,3676.48,3677.72,0,0\n2006-01-30,14:20:00,3677.91,3677.99,3676.27,3676.78,0,0\n2006-01-30,14:25:00,3676.57,3677.38,3676.57,3677.20,0,0\n2006-01-30,14:30:00,3677.16,3677.26,3675.28,3675.66,0,0\n2006-01-30,14:35:00,3675.68,3676.98,3673.23,3673.24,0,0\n2006-01-30,14:40:00,3673.67,3674.08,3673.20,3673.91,0,0\n2006-01-30,14:45:00,3673.85,3675.03,3673.78,3675.03,0,0\n2006-01-30,14:50:00,3675.06,3675.85,3674.95,3675.40,0,0\n2006-01-30,14:55:00,3675.00,3675.00,3673.76,3674.29,0,0\n2006-01-30,15:00:00,3674.26,3675.69,3674.07,3675.38,0,0\n2006-01-30,15:05:00,3675.58,3677.03,3675.58,3676.12,0,0\n2006-01-30,15:10:00,3676.29,3676.29,3675.83,3675.98,0,0\n2006-01-30,15:15:00,3675.95,3678.02,3675.53,3677.91,0,0\n2006-01-30,15:20:00,3677.42,3677.97,3677.03,3677.97,0,0\n2006-01-30,15:25:00,3678.15,3679.37,3677.60,3679.31,0,0\n2006-01-30,15:30:00,3679.51,3680.81,3679.51,3679.69,0,0\n2006-01-30,15:35:00,3679.45,3680.75,3678.93,3680.37,0,0\n2006-01-30,15:40:00,3680.77,3681.39,3678.18,3681.39,0,0\n2006-01-30,15:45:00,3680.86,3680.86,3677.83,3679.50,0,0\n2006-01-30,15:50:00,3680.48,3680.66,3677.02,3677.02,0,0\n2006-01-30,15:55:00,3677.05,3677.05,3675.71,3676.35,0,0\n2006-01-30,16:00:00,3676.93,3677.75,3676.27,3677.04,0,0\n2006-01-30,16:05:00,3677.21,3678.33,3676.53,3678.33,0,0\n2006-01-30,16:10:00,3678.37,3682.04,3678.17,3680.58,0,0\n2006-01-30,16:15:00,3680.32,3683.37,3679.10,3682.94,0,0\n2006-01-30,16:20:00,3683.27,3684.80,3682.17,3682.59,0,0\n2006-01-30,16:25:00,3682.17,3682.84,3680.36,3682.53,0,0\n2006-01-30,16:30:00,3682.26,3683.11,3680.50,3681.70,0,0\n2006-01-30,16:35:00,3681.56,3681.76,3680.45,3680.63,0,0\n2006-01-30,16:40:00,3681.39,3682.66,3681.39,3682.26,0,0\n2006-01-30,16:45:00,3682.19,3683.04,3682.19,3683.04,0,0\n2006-01-30,16:50:00,3683.33,3684.04,3682.19,3684.04,0,0\n2006-01-30,16:55:00,3683.66,3685.65,3683.66,3685.65,0,0\n2006-01-30,17:00:00,3685.38,3685.38,3681.90,3681.90,0,0\n2006-01-30,17:05:00,3681.88,3681.88,3679.22,3679.43,0,0\n2006-01-30,17:10:00,3679.32,3679.64,3677.14,3677.14,0,0\n2006-01-30,17:15:00,3677.33,3680.52,3677.07,3679.97,0,0\n2006-01-30,17:20:00,3679.69,3680.14,3678.27,3678.68,0,0\n2006-01-30,17:25:00,3678.84,3679.28,3678.10,3679.28,0,0\n2006-01-30,17:30:00,3679.29,3679.40,3676.31,3677.52,0,0\n"
  },
  {
    "path": "datas/2006-month-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2006-01-31,3578.73,3707.63,3515.07,3691.41,0,0\n2006-02-28,3686.16,3840.56,3637.93,3774.51,0,0\n2006-03-31,3775.23,3881.69,3702.04,3853.74,0,0\n2006-04-28,3859.99,3892.35,3749.71,3839.90,0,0\n2006-05-31,3839.24,3897.40,3527.05,3637.17,0,0\n2006-06-30,3634.82,3688.89,3379.66,3648.92,0,0\n2006-07-31,3648.91,3711.52,3462.77,3691.87,0,0\n2006-08-31,3687.82,3829.40,3632.51,3808.70,0,0\n2006-09-29,3808.99,3921.15,3709.81,3899.41,0,0\n2006-10-31,3902.03,4047.54,3858.87,4004.80,0,0\n2006-11-30,4003.80,4118.40,3951.94,3987.23,0,0\n2006-12-29,3993.03,4147.38,3914.46,4119.94,0,0\n"
  },
  {
    "path": "datas/2006-volume-day-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\r\n2006-01-02,3602.00,3624.00,3596.00,3617.00,164794,1511674\r\n2006-01-03,3623.00,3665.00,3614.00,3665.00,554426,1501792\r\n2006-01-04,3660.00,3674.00,3641.00,3666.00,517558,1503213\r\n2006-01-05,3667.00,3674.00,3654.00,3662.00,432252,1541255\r\n2006-01-06,3667.00,3693.00,3661.00,3691.00,416112,1501069\r\n2006-01-09,3693.00,3699.00,3681.00,3689.00,436207,1551895\r\n2006-01-10,3676.00,3678.00,3650.00,3671.00,484719,1569331\r\n2006-01-11,3682.00,3689.00,3666.00,3685.00,449783,1577535\r\n2006-01-12,3676.00,3691.00,3660.00,3664.00,444316,1586476\r\n2006-01-13,3666.00,3671.00,3623.00,3639.00,591691,0\r\n2006-01-16,3635.00,3664.00,3632.00,3660.00,273296,1592611\r\n2006-01-17,3632.00,3634.00,3612.00,3622.00,555959,1579789\r\n2006-01-18,3575.00,3598.00,3558.00,3581.00,866129,1557570\r\n2006-01-19,3594.00,3619.00,3588.00,3610.00,644053,1601545\r\n2006-01-20,3607.00,3622.00,3525.00,3528.00,962941,1601777\r\n2006-01-23,3525.00,3554.00,3521.00,3540.00,669369,1702949\r\n2006-01-24,3550.00,3562.00,3533.00,3547.00,609427,1695854\r\n2006-01-25,3559.00,3592.00,3548.00,3592.00,757536,1683331\r\n2006-01-26,3596.00,3665.00,3592.00,3662.00,982957,1682448\r\n2006-01-27,3679.00,3695.00,3659.00,3685.00,762116,1658807\r\n2006-01-30,3687.00,3709.00,3672.00,3701.00,424069,1666739\r\n2006-01-31,3697.00,3718.00,3681.00,3704.00,749740,1642003\r\n2006-02-01,3690.00,3747.00,3683.00,3747.00,733850,1721115\r\n2006-02-02,3742.00,3756.00,3674.00,3682.00,870956,1720980\r\n2006-02-03,3694.00,3711.00,3661.00,3690.00,711608,1658525\r\n2006-02-06,3703.00,3714.00,3680.00,3692.00,407575,1690543\r\n2006-02-07,3704.00,3709.00,3662.00,3669.00,681151,1670454\r\n2006-02-08,3658.00,3708.00,3645.00,3708.00,638180,1709261\r\n2006-02-09,3705.00,3749.00,3704.00,3717.00,565728,1753450\r\n2006-02-10,3724.00,3742.00,3699.00,3729.00,538179,1690376\r\n2006-02-13,3702.00,3742.00,3691.00,3730.00,574650,1644656\r\n2006-02-14,3740.00,3765.00,3713.00,3763.00,672589,1673746\r\n2006-02-15,3746.00,3757.00,3721.00,3741.00,651196,1676842\r\n2006-02-16,3755.00,3774.00,3738.00,3773.00,502043,1662302\r\n2006-02-17,3765.00,3783.00,3755.00,3777.00,532354,1677584\r\n2006-02-20,3769.00,3780.00,3756.00,3775.00,179685,1716864\r\n2006-02-21,3785.00,3808.00,3772.00,3775.00,552188,1727193\r\n2006-02-22,3783.00,3832.00,3775.00,3829.00,540857,1736052\r\n2006-02-23,3829.00,3838.00,3801.00,3816.00,573338,1721732\r\n2006-02-24,3827.00,3840.00,3809.00,3829.00,420159,1683865\r\n2006-02-27,3839.00,3849.00,3823.00,3838.00,341173,1663400\r\n2006-02-28,3839.00,3843.00,3768.00,3778.00,806168,1691337\r\n2006-03-01,3787.00,3815.00,3776.00,3813.00,564840,1723253\r\n2006-03-02,3815.00,3825.00,3744.00,3765.00,822977,1694897\r\n2006-03-03,3766.00,3778.00,3716.00,3745.00,751991,1662200\r\n2006-03-06,3771.00,3774.00,3731.00,3739.00,507265,1700569\r\n2006-03-07,3740.00,3751.00,3721.00,3742.00,669267,1700258\r\n2006-03-08,3751.00,3759.00,3703.00,3744.00,801845,1725875\r\n2006-03-09,3767.00,3770.00,3739.00,3740.00,662235,1741907\r\n2006-03-10,3747.00,3815.00,3741.00,3812.00,885356,1714786\r\n2006-03-13,3822.00,3830.00,3809.00,3817.00,699437,1682559\r\n2006-03-14,3811.00,3848.00,3807.00,3848.00,1050866,1539322\r\n2006-03-15,3845.00,3855.00,3834.00,3853.00,1153878,1266311\r\n2006-03-16,3845.00,3849.00,3820.00,3842.00,963198,962243\r\n2006-03-17,3795.00,3821.00,3763.00,3783.00,834457,1355933\r\n2006-03-20,3791.00,3810.00,3776.00,3787.00,392211,1500920\r\n2006-03-21,3788.00,3812.00,3755.00,3779.00,655677,1482004\r\n2006-03-22,3774.00,3825.00,3768.00,3825.00,580511,1510583\r\n2006-03-23,3821.00,3823.00,3792.00,3804.00,508721,1547034\r\n2006-03-24,3810.00,3819.00,3790.00,3806.00,444361,1537140\r\n2006-03-27,3814.00,3814.00,3758.00,3771.00,506035,1575845\r\n2006-03-28,3774.00,3790.00,3739.00,3749.00,640434,1601634\r\n2006-03-29,3759.00,3788.00,3739.00,3785.00,590338,1604818\r\n2006-03-30,3797.00,3825.00,3780.00,3794.00,631668,1607161\r\n2006-03-31,3804.00,3817.00,3783.00,3793.00,565216,1644981\r\n2006-04-03,3817.00,3827.00,3802.00,3805.00,427411,1648659\r\n2006-04-04,3812.00,3814.00,3787.00,3814.00,496039,1640704\r\n2006-04-05,3803.00,3815.00,3779.00,3813.00,574708,1622484\r\n2006-04-06,3816.00,3824.00,3789.00,3798.00,613372,1624616\r\n2006-04-07,3800.00,3818.00,3750.00,3754.00,705207,1621819\r\n2006-04-10,3760.00,3790.00,3755.00,3773.00,491924,1645637\r\n2006-04-11,3779.00,3785.00,3707.00,3713.00,789073,1649283\r\n2006-04-12,3723.00,3733.00,3693.00,3715.00,823485,1692389\r\n2006-04-13,3722.00,3731.00,3697.00,3723.00,496944,1723232\r\n2006-04-18,3721.00,3749.00,3693.00,3749.00,645187,1719735\r\n2006-04-19,3761.00,3780.00,3742.00,3778.00,722051,1700118\r\n2006-04-20,3768.00,3825.00,3768.00,3809.00,854085,1728414\r\n2006-04-21,3814.00,3839.00,3814.00,3827.00,673246,1736906\r\n2006-04-24,3806.00,3824.00,3804.00,3822.00,434005,1807907\r\n2006-04-25,3816.00,3838.00,3807.00,3821.00,604489,1821146\r\n2006-04-26,3826.00,3840.00,3819.00,3835.00,495302,1813733\r\n2006-04-27,3838.00,3839.00,3780.00,3812.00,1145228,1863368\r\n2006-04-28,3807.00,3810.00,3775.00,3781.00,656051,1814070\r\n2006-05-02,3783.00,3828.00,3783.00,3827.00,494418,1802136\r\n2006-05-03,3827.00,3833.00,3766.00,3779.00,736870,1824109\r\n2006-05-04,3782.00,3810.00,3765.00,3800.00,744298,1823761\r\n2006-05-05,3807.00,3864.00,3804.00,3864.00,659911,1815999\r\n2006-05-08,3858.00,3870.00,3841.00,3854.00,469340,1850345\r\n2006-05-09,3850.00,3863.00,3835.00,3859.00,455538,1868598\r\n2006-05-10,3850.00,3865.00,3828.00,3841.00,492600,1850629\r\n2006-05-11,3842.00,3871.00,3786.00,3789.00,827195,1899846\r\n2006-05-12,3790.00,3798.00,3701.00,3703.00,1342476,1894512\r\n2006-05-15,3701.00,3719.00,3659.00,3707.00,1460518,1943327\r\n2006-05-16,3687.00,3731.00,3670.00,3706.00,1117478,2103469\r\n2006-05-17,3727.00,3732.00,3570.00,3575.00,1788718,2043097\r\n2006-05-18,3595.00,3633.00,3540.00,3564.00,2168228,2131643\r\n2006-05-19,3581.00,3627.00,3579.00,3625.00,1212872,2218894\r\n2006-05-22,3587.00,3593.00,3515.00,3549.00,1641627,2216936\r\n2006-05-23,3552.00,3628.00,3552.00,3563.00,1381685,2160107\r\n2006-05-24,3575.00,3593.00,3529.00,3569.00,1529421,2104592\r\n2006-05-25,3575.00,3650.00,3540.00,3650.00,1129110,2138331\r\n2006-05-26,3651.00,3688.00,3633.00,3685.00,1027127,2050352\r\n2006-05-29,3679.00,3684.00,3658.00,3659.00,215809,2134952\r\n2006-05-30,3668.00,3672.00,3566.00,3568.00,1260220,2134851\r\n2006-05-31,3547.00,3637.00,3532.00,3633.00,1396918,2085498\r\n2006-06-01,3637.00,3665.00,3586.00,3665.00,990387,2118324\r\n2006-06-02,3660.00,3690.00,3615.00,3638.00,1067955,2094696\r\n2006-06-05,3628.00,3636.00,3550.00,3552.00,681687,2093880\r\n2006-06-06,3555.00,3573.00,3516.00,3555.00,1311007,2123492\r\n2006-06-07,3541.00,3580.00,3511.00,3530.00,1207692,2187648\r\n2006-06-08,3490.00,3520.00,3447.00,3501.00,1861849,2139443\r\n2006-06-09,3503.00,3534.00,3477.00,3481.00,1055892,2243288\r\n2006-06-12,3485.00,3529.00,3442.00,3447.00,1262995,2088629\r\n2006-06-13,3429.00,3441.00,3378.00,3379.00,2481435,2009439\r\n2006-06-14,3406.00,3435.00,3377.00,3421.00,2290170,1684602\r\n2006-06-15,3433.00,3527.00,3427.00,3524.00,1599024,1684602\r\n2006-06-16,3531.00,3555.00,3460.00,3475.00,1514636,1811106\r\n2006-06-19,3488.00,3533.00,3465.00,3470.00,857267,2007929\r\n2006-06-20,3460.00,3540.00,3460.00,3514.00,847971,2088828\r\n2006-06-21,3516.00,3568.00,3487.00,3554.00,941295,2066100\r\n2006-06-22,3577.00,3585.00,3534.00,3544.00,893527,2038981\r\n2006-06-23,3556.00,3578.00,3540.00,3554.00,644564,1988668\r\n2006-06-26,3563.00,3579.00,3537.00,3566.00,530862,2003961\r\n2006-06-27,3570.00,3572.00,3490.00,3490.00,754938,2021306\r\n2006-06-28,3490.00,3537.00,3488.00,3535.00,739095,1981724\r\n2006-06-29,3548.00,3650.00,3534.00,3650.00,858799,2020228\r\n2006-06-30,3645.00,3670.00,3622.00,3656.00,914321,2019762\r\n2006-07-03,3663.00,3687.00,3651.00,3686.00,338525,2027695\r\n2006-07-04,3687.00,3687.00,3658.00,3677.00,219059,2023196\r\n2006-07-05,3658.00,3669.00,3618.00,3638.00,667919,2025208\r\n2006-07-06,3647.00,3679.00,3632.00,3666.00,669766,1992150\r\n2006-07-07,3648.00,3685.00,3633.00,3635.00,730538,2034396\r\n2006-07-10,3655.00,3685.00,3633.00,3671.00,553661,2001511\r\n2006-07-11,3666.00,3669.00,3620.00,3660.00,738094,1991727\r\n2006-07-12,3662.00,3676.00,3613.00,3617.00,728707,2002733\r\n2006-07-13,3615.00,3617.00,3540.00,3540.00,1137876,2006342\r\n2006-07-14,3537.00,3563.00,3509.00,3529.00,940704,2173836\r\n2006-07-17,3530.00,3535.00,3471.00,3510.00,1183232,2060540\r\n2006-07-18,3505.00,3527.00,3474.00,3515.00,971038,2078403\r\n2006-07-19,3515.00,3616.00,3503.00,3611.00,1247743,2073643\r\n2006-07-20,3620.00,3625.00,3566.00,3566.00,913324,2117872\r\n2006-07-21,3577.00,3594.00,3553.00,3554.00,977746,2059052\r\n2006-07-24,3563.00,3654.00,3562.00,3647.00,781984,2129505\r\n2006-07-25,3643.00,3669.00,3630.00,3663.00,758600,2137417\r\n2006-07-26,3653.00,3668.00,3631.00,3652.00,538583,2091204\r\n2006-07-27,3677.00,3693.00,3652.00,3662.00,798036,2087808\r\n2006-07-28,3684.00,3729.00,3664.00,3725.00,791896,2084741\r\n2006-07-31,3721.00,3724.00,3693.00,3697.00,525898,2118711\r\n2006-08-01,3701.00,3706.00,3640.00,3659.00,762840,2070762\r\n2006-08-02,3670.00,3720.00,3664.00,3710.00,631879,1997861\r\n2006-08-03,3714.00,3718.00,3654.00,3701.00,838138,2020588\r\n2006-08-04,3707.00,3739.00,3676.00,3693.00,796568,2022850\r\n2006-08-07,3640.00,3691.00,3638.00,3670.00,653752,2083817\r\n2006-08-08,3691.00,3695.00,3643.00,3653.00,625419,2045623\r\n2006-08-09,3677.00,3725.00,3657.00,3680.00,862594,2018560\r\n2006-08-10,3685.00,3703.00,3644.00,3694.00,965625,2038955\r\n2006-08-11,3695.00,3708.00,3668.00,3686.00,524572,2069633\r\n2006-08-14,3705.00,3735.00,3703.00,3709.00,457261,2050554\r\n2006-08-15,3714.00,3798.00,3710.00,3798.00,809251,2054467\r\n2006-08-16,3799.00,3815.00,3774.00,3813.00,746420,2103281\r\n2006-08-17,3806.00,3818.00,3788.00,3804.00,589634,2096994\r\n2006-08-18,3810.00,3817.00,3789.00,3815.00,659585,2078365\r\n2006-08-21,3803.00,3803.00,3773.00,3786.00,443445,2109036\r\n2006-08-22,3800.00,3808.00,3761.00,3793.00,686723,2096506\r\n2006-08-23,3799.00,3801.00,3758.00,3770.00,547430,2081631\r\n2006-08-24,3762.00,3804.00,3750.00,3795.00,697401,2061097\r\n2006-08-25,3790.00,3805.00,3772.00,3786.00,392038,2090199\r\n2006-08-28,3777.00,3830.00,3764.00,3824.00,402973,2079101\r\n2006-08-29,3825.00,3837.00,3804.00,3825.00,622592,2091149\r\n2006-08-30,3835.00,3836.00,3814.00,3820.00,557408,2084035\r\n2006-08-31,3831.00,3837.00,3807.00,3815.00,577983,2118325\r\n2006-09-01,3823.00,3842.00,3813.00,3829.00,550519,2084737\r\n2006-09-04,3835.00,3845.00,3831.00,3840.00,192059,2085890\r\n2006-09-05,3842.00,3844.00,3804.00,3826.00,726065,2081211\r\n2006-09-06,3822.00,3825.00,3758.00,3761.00,829394,2068691\r\n2006-09-07,3752.00,3761.00,3730.00,3744.00,880485,2029126\r\n2006-09-08,3756.00,3765.00,3736.00,3755.00,606124,2029126\r\n2006-09-11,3739.00,3768.00,3711.00,3758.00,1024854,2027132\r\n2006-09-12,3753.00,3814.00,3728.00,3811.00,1615762,1794565\r\n2006-09-13,3808.00,3817.00,3786.00,3809.00,1373203,1523326\r\n2006-09-14,3810.00,3826.00,3787.00,3802.00,1049353,1246561\r\n2006-09-15,3820.00,3844.00,3805.00,3827.00,1062149,1634414\r\n2006-09-18,3835.00,3843.00,3807.00,3830.00,556228,1889978\r\n2006-09-19,3823.00,3830.00,3774.00,3790.00,997035,1892381\r\n2006-09-20,3794.00,3865.00,3788.00,3861.00,850817,1887128\r\n2006-09-21,3861.00,3886.00,3836.00,3845.00,835754,1909028\r\n2006-09-22,3847.00,3856.00,3815.00,3835.00,726456,1895010\r\n2006-09-25,3838.00,3877.00,3818.00,3868.00,719681,1905193\r\n2006-09-26,3866.00,3904.00,3857.00,3898.00,779519,1908637\r\n2006-09-27,3908.00,3917.00,3885.00,3910.00,879752,1922556\r\n2006-09-28,3917.00,3923.00,3899.00,3913.00,584648,1946249\r\n2006-09-29,3917.00,3937.00,3906.00,3915.00,651560,1939397\r\n2006-10-02,3928.00,3933.00,3887.00,3895.00,518041,1961560\r\n2006-10-03,3892.00,3919.00,3871.00,3906.00,762343,1954293\r\n2006-10-04,3898.00,3960.00,3895.00,3957.00,800505,1999756\r\n2006-10-05,3965.00,3965.00,3944.00,3962.00,723730,1968960\r\n2006-10-06,3952.00,3962.00,3931.00,3956.00,659552,1987876\r\n2006-10-09,3945.00,3962.00,3931.00,3957.00,354847,1993264\r\n2006-10-10,3958.00,3977.00,3955.00,3975.00,649293,1974426\r\n2006-10-11,3958.00,3991.00,3950.00,3980.00,698769,2011806\r\n2006-10-12,3985.00,4019.00,3975.00,4017.00,704630,2055129\r\n2006-10-13,4019.00,4022.00,3996.00,4018.00,627241,2093519\r\n2006-10-16,4022.00,4023.00,3997.00,4020.00,534606,2090486\r\n2006-10-17,4012.00,4012.00,3955.00,3981.00,915211,2074140\r\n2006-10-18,3976.00,4017.00,3970.00,3991.00,961202,2051473\r\n2006-10-19,3980.00,4011.00,3975.00,3991.00,771490,2064301\r\n2006-10-20,4003.00,4025.00,3988.00,4017.00,828299,2042974\r\n2006-10-23,4023.00,4041.00,3991.00,4038.00,709659,2136161\r\n2006-10-24,4031.00,4035.00,4014.00,4026.00,575676,2125016\r\n2006-10-25,4024.00,4042.00,4013.00,4038.00,544941,2124918\r\n2006-10-26,4038.00,4058.00,4028.00,4051.00,638495,2147155\r\n2006-10-27,4047.00,4049.00,4005.00,4010.00,790202,2143371\r\n2006-10-30,4008.00,4020.00,3985.00,4010.00,748619,2143056\r\n2006-10-31,4011.00,4029.00,3990.00,4005.00,783684,2147836\r\n2006-11-01,4012.00,4038.00,3991.00,3994.00,819735,2125314\r\n2006-11-02,3997.00,4019.00,3967.00,3982.00,1047094,2162817\r\n2006-11-03,3983.00,4019.00,3975.00,3991.00,893043,2178807\r\n2006-11-06,3994.00,4065.00,3994.00,4062.00,717182,2195100\r\n2006-11-07,4053.00,4084.00,4053.00,4066.00,681246,2204994\r\n2006-11-08,4061.00,4093.00,4053.00,4090.00,815148,2197183\r\n2006-11-09,4092.00,4095.00,4061.00,4065.00,641185,2212649\r\n2006-11-10,4072.00,4081.00,4056.00,4078.00,590119,2221795\r\n2006-11-13,4076.00,4104.00,4065.00,4086.00,666203,2220934\r\n2006-11-14,4096.00,4114.00,4074.00,4112.00,836687,2286895\r\n2006-11-15,4109.00,4128.00,4099.00,4117.00,697121,2328617\r\n2006-11-16,4112.00,4125.00,4102.00,4114.00,641666,2294820\r\n2006-11-17,4106.00,4117.00,4074.00,4102.00,925799,2244807\r\n2006-11-20,4086.00,4112.00,4058.00,4102.00,801877,2303799\r\n2006-11-21,4102.00,4122.00,4100.00,4111.00,756217,2322742\r\n2006-11-22,4122.00,4129.00,4093.00,4110.00,759039,2274337\r\n2006-11-23,4110.00,4118.00,4079.00,4092.00,385092,2190882\r\n2006-11-24,4080.00,4087.00,4032.00,4032.00,1015631,2142261\r\n2006-11-27,4041.00,4061.00,3965.00,3966.00,1192955,2189543\r\n2006-11-28,3978.00,3997.00,3957.00,3987.00,1514766,2242243\r\n2006-11-29,3999.00,4030.00,3988.00,4027.00,929793,2206435\r\n2006-11-30,4034.00,4042.00,3981.00,4001.00,1209362,2184940\r\n2006-12-01,4005.00,4018.00,3916.00,3941.00,1268854,2304700\r\n2006-12-04,3936.00,3979.00,3931.00,3974.00,825305,2328923\r\n2006-12-05,3973.00,4020.00,3964.00,4018.00,1126088,2297094\r\n2006-12-06,4017.00,4021.00,3991.00,4000.00,718338,2311993\r\n2006-12-07,3990.00,4044.00,3990.00,4010.00,885668,2261296\r\n2006-12-08,4009.00,4040.00,3982.00,4029.00,1090833,2204231\r\n2006-12-11,4034.00,4060.00,4034.00,4057.00,994201,2147274\r\n2006-12-12,4052.00,4066.00,4040.00,4052.00,1347733,1998010\r\n2006-12-13,4051.00,4109.00,4049.00,4107.00,1459572,1799697\r\n2006-12-14,4112.00,4132.00,4100.00,4131.00,1120863,1530036\r\n2006-12-15,4162.00,4179.00,4146.00,4152.00,1081297,1787685\r\n2006-12-18,4157.00,4173.00,4138.00,4144.00,379455,1921269\r\n2006-12-19,4137.00,4149.00,4113.00,4144.00,756938,1899981\r\n2006-12-20,4154.00,4162.00,4127.00,4129.00,374934,1911897\r\n2006-12-21,4134.00,4154.00,4117.00,4130.00,374608,1910869\r\n2006-12-22,4137.00,4139.00,4086.00,4092.00,378353,1912405\r\n2006-12-27,4113.00,4174.00,4113.00,4173.00,311003,1903141\r\n2006-12-28,4177.00,4179.00,4146.00,4157.00,282295,1912601\r\n2006-12-29,4157.00,4167.00,4145.00,4157.00,205816,1916930\r\n"
  },
  {
    "path": "datas/2006-week-001.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2006-01-06,3578.73,3666.99,3578.73,3666.99,0,0\n2006-01-13,3667.10,3685.99,3618.06,3629.25,0,0\n2006-01-20,3628.73,3649.10,3550.16,3550.80,0,0\n2006-01-27,3550.24,3685.48,3515.07,3685.48,0,0\n2006-02-03,3684.38,3745.14,3652.76,3678.48,0,0\n2006-02-10,3678.87,3735.14,3637.93,3695.63,0,0\n2006-02-17,3696.09,3777.16,3684.83,3767.70,0,0\n2006-02-24,3767.11,3831.16,3749.88,3826.00,0,0\n2006-03-03,3828.99,3840.56,3715.35,3733.95,0,0\n2006-03-10,3737.58,3798.46,3702.04,3798.46,0,0\n2006-03-17,3801.03,3874.64,3801.03,3832.43,0,0\n2006-03-24,3833.25,3878.49,3811.02,3870.89,0,0\n2006-03-31,3872.28,3881.69,3799.04,3853.74,0,0\n2006-04-07,3859.99,3881.11,3822.26,3823.11,0,0\n2006-04-13,3822.35,3843.62,3753.47,3779.94,0,0\n2006-04-21,3779.23,3892.35,3749.71,3888.46,0,0\n2006-04-28,3884.57,3892.16,3832.10,3839.90,0,0\n2006-05-05,3839.24,3879.31,3806.35,3874.32,0,0\n2006-05-12,3877.74,3897.40,3750.44,3750.44,0,0\n2006-05-19,3746.40,3750.42,3558.27,3625.33,0,0\n2006-05-26,3622.35,3699.80,3527.05,3699.80,0,0\n2006-06-02,3696.48,3696.48,3542.41,3636.89,0,0\n2006-06-09,3636.83,3638.59,3462.37,3520.99,0,0\n2006-06-16,3519.43,3544.27,3379.66,3463.56,0,0\n2006-06-23,3469.88,3571.24,3453.14,3550.15,0,0\n2006-06-30,3554.07,3655.02,3484.71,3648.92,0,0\n2006-07-07,3648.91,3670.75,3607.81,3651.33,0,0\n2006-07-14,3645.42,3671.09,3508.25,3508.25,0,0\n2006-07-21,3512.22,3612.48,3462.77,3557.08,0,0\n2006-07-28,3559.34,3711.41,3559.34,3710.60,0,0\n2006-08-04,3708.82,3729.29,3632.51,3718.09,0,0\n2006-08-11,3707.49,3712.22,3638.55,3675.10,0,0\n2006-08-18,3690.09,3807.48,3690.09,3791.40,0,0\n2006-08-25,3789.99,3797.91,3743.26,3781.17,0,0\n2006-09-01,3778.79,3836.22,3758.87,3820.89,0,0\n2006-09-08,3824.02,3839.30,3729.77,3750.08,0,0\n2006-09-15,3745.78,3825.15,3709.81,3812.11,0,0\n2006-09-22,3813.73,3867.74,3770.36,3812.73,0,0\n2006-09-29,3815.13,3921.15,3802.47,3899.41,0,0\n2006-10-06,3902.03,3950.06,3858.87,3940.31,0,0\n2006-10-13,3932.33,4008.67,3921.81,3999.07,0,0\n2006-10-20,4000.30,4016.63,3947.39,3998.19,0,0\n2006-10-27,4001.63,4047.54,3982.02,4017.27,0,0\n2006-11-03,4007.26,4029.57,3961.64,3990.46,0,0\n2006-11-10,3991.47,4081.70,3991.47,4063.84,0,0\n2006-11-17,4063.01,4116.79,4059.51,4078.36,0,0\n2006-11-24,4074.59,4118.40,4028.30,4048.16,0,0\n2006-12-01,4045.05,4053.68,3914.46,3932.09,0,0\n2006-12-08,3935.81,4039.25,3927.40,4019.89,0,0\n2006-12-15,4024.14,4147.38,4024.14,4140.66,0,0\n2006-12-22,4140.99,4141.46,4072.62,4073.50,0,0\n2006-12-29,4079.70,4142.06,4079.70,4119.94,0,0\n"
  },
  {
    "path": "datas/2006-week-002.txt",
    "content": "Date,Open,High,Low,Close,Volume,OpenInterest\n2006-01-13,3578.73,3685.99,3578.73,3629.25,0,0\n2006-01-27,3628.73,3685.48,3515.07,3685.48,0,0\n2006-02-10,3684.38,3745.14,3637.93,3695.63,0,0\n2006-02-24,3696.09,3831.16,3684.83,3826.00,0,0\n2006-03-10,3828.99,3840.56,3702.04,3798.46,0,0\n2006-03-24,3801.03,3878.49,3801.03,3870.89,0,0\n2006-04-07,3872.28,3881.69,3799.04,3823.11,0,0\n2006-04-21,3822.35,3892.35,3749.71,3888.46,0,0\n2006-05-05,3884.57,3892.16,3806.35,3874.32,0,0\n2006-05-19,3877.74,3897.40,3558.27,3625.33,0,0\n2006-06-02,3622.35,3699.80,3527.05,3636.89,0,0\n2006-06-16,3636.83,3638.59,3379.66,3463.56,0,0\n2006-06-30,3469.88,3655.02,3453.14,3648.92,0,0\n2006-07-14,3648.91,3671.09,3508.25,3508.25,0,0\n2006-07-28,3512.22,3711.41,3462.77,3710.60,0,0\n2006-08-11,3708.82,3729.29,3632.51,3675.10,0,0\n2006-08-25,3690.09,3807.48,3690.09,3781.17,0,0\n2006-09-08,3778.79,3839.30,3729.77,3750.08,0,0\n2006-09-22,3745.78,3867.74,3709.81,3812.73,0,0\n2006-10-06,3815.13,3950.06,3802.47,3940.31,0,0\n2006-10-20,3932.33,4016.63,3921.81,3998.19,0,0\n2006-11-03,4001.63,4047.54,3961.64,3990.46,0,0\n2006-11-17,3991.47,4116.79,3991.47,4078.36,0,0\n2006-12-01,4074.59,4118.40,3914.46,3932.09,0,0\n2006-12-15,3935.81,4147.38,3927.40,4140.66,0,0\n2006-12-29,4140.99,4142.06,4072.62,4119.94,0,0\n"
  },
  {
    "path": "datas/bidask.csv",
    "content": "TIMESTAMP,BID,ASK\n02/03/2010 16:53:50,0.5346,0.5347\n02/03/2010 16:53:51,0.5343,0.5347\n02/03/2010 16:53:52,0.5543,0.5545\n02/03/2010 16:53:53,0.5342,0.5344\n02/03/2010 16:53:54,0.5245,0.5464\n02/03/2010 16:53:54,0.5460,0.5470\n02/03/2010 16:53:56,0.5824,0.5826\n02/03/2010 16:53:57,0.5371,0.5374\n02/03/2010 16:53:58,0.5793,0.5794\n02/03/2010 16:53:59,0.5684,0.5688\n"
  },
  {
    "path": "datas/bidask2.csv",
    "content": "TimeStamp,cross,status (\"D\"= dealt) (only trades \"DEALT\"),bid, offer, vol bid, vol offer\n01/03/16,23:43:11,EUR/JPY,D,,130.520,,1000000\n01/03/16,23:43:27,EUR/JPY,D,,130.520,,2000000\n01/03/16,23:49:19,EUR/JPY,D,,130.510,,500000\n01/03/16,23:49:22,EUR/JPY,D,,130.530,,1500000\n01/03/16,23:49:25,EUR/JPY,D,,130.540,,750000\n01/03/16,23:49:27,EUR/JPY,D,,130.550,,900000\n01/03/16,23:51:25,EUR/JPY,D,,130.500,,1200000\n01/03/16,23:52:27,EUR/JPY,D,,130.495,,1100000\n01/03/16,23:53:25,EUR/JPY,D,,130.480,,600000\n01/03/16,23:54:27,EUR/JPY,D,,130.470,,900000"
  },
  {
    "path": "datas/nvda-1999-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n1999-01-22,1.750000,1.953125,1.552083,1.640625,1.518424,67867200\n1999-01-25,1.770833,1.833333,1.640625,1.812500,1.677496,12762000\n1999-01-26,1.833333,1.869792,1.645833,1.671875,1.547346,8580000\n1999-01-27,1.677083,1.718750,1.583333,1.666667,1.542525,6109200\n1999-01-28,1.666667,1.677083,1.651042,1.661458,1.537705,5688000\n1999-01-29,1.661458,1.666667,1.583333,1.583333,1.465399,6100800\n1999-02-01,1.583333,1.625000,1.583333,1.614583,1.494321,3867600\n1999-02-02,1.583333,1.625000,1.442708,1.489583,1.378632,6602400\n1999-02-03,1.468750,1.541667,1.458333,1.520833,1.407555,1878000\n1999-02-04,1.541667,1.645833,1.520833,1.604167,1.484681,4548000\n1999-02-05,1.630208,1.666667,1.588542,1.651042,1.528064,3421200\n1999-02-08,1.661458,1.666667,1.593750,1.593750,1.475040,3852000\n1999-02-09,1.625000,1.635417,1.510417,1.531250,1.417195,2174400\n1999-02-10,1.531250,1.572917,1.489583,1.515625,1.402734,3705600\n1999-02-11,1.520833,1.708333,1.520833,1.645833,1.523244,3306000\n1999-02-12,1.666667,1.750000,1.666667,1.739583,1.610011,2743200\n1999-02-16,1.770833,1.843750,1.572917,1.750000,1.619651,5275200\n1999-02-17,1.708333,1.729167,1.625000,1.656250,1.532884,1693200\n1999-02-18,1.708333,1.729167,1.635417,1.682292,1.556986,1767600\n1999-02-19,1.666667,1.770833,1.645833,1.739583,1.610011,1884000\n1999-02-22,1.770833,1.791667,1.656250,1.750000,1.619651,5131200\n1999-02-23,1.791667,1.869792,1.687500,1.833333,1.696778,3452400\n1999-02-24,2.104167,2.187500,1.932292,1.979167,1.831748,15319200\n1999-02-25,2.062500,2.125000,1.885417,1.916667,1.773904,3728400\n1999-02-26,1.937500,2.000000,1.812500,1.828125,1.691957,4315200\n1999-03-01,1.875000,1.916667,1.750000,1.838542,1.701598,2304000\n1999-03-02,1.833333,1.843750,1.791667,1.822917,1.687137,1381200\n1999-03-03,1.833333,1.833333,1.687500,1.697917,1.571447,1534800\n1999-03-04,1.781250,1.791667,1.645833,1.661458,1.537705,1434000\n1999-03-05,1.677083,1.760417,1.677083,1.755208,1.624472,1969200\n1999-03-08,1.708333,1.833333,1.677083,1.781250,1.648574,1897200\n1999-03-09,1.776042,1.864583,1.776042,1.838542,1.701598,3579600\n1999-03-10,1.864583,1.864583,1.781250,1.807292,1.672675,5883600\n1999-03-11,1.776042,1.807292,1.729167,1.729167,1.600370,1357200\n1999-03-12,1.739583,1.739583,1.666667,1.697917,1.571447,2269200\n1999-03-15,1.739583,1.791667,1.729167,1.770833,1.638933,2720400\n1999-03-16,1.781250,1.802083,1.697917,1.713542,1.585909,1978800\n1999-03-17,1.729167,1.760417,1.682292,1.723958,1.595549,1284000\n1999-03-18,1.729167,1.770833,1.687500,1.744792,1.614831,1158000\n1999-03-19,1.739583,1.802083,1.739583,1.750000,1.619651,2632800\n1999-03-22,1.786458,1.791667,1.697917,1.697917,1.571447,916800\n1999-03-23,1.708333,1.708333,1.562500,1.593750,1.475040,4099200\n1999-03-24,1.583333,1.593750,1.520833,1.583333,1.465399,1521600\n1999-03-25,1.578125,1.666667,1.572917,1.604167,1.484681,1008000\n1999-03-26,1.625000,1.750000,1.625000,1.744792,1.614831,2206800\n1999-03-29,1.796875,1.838542,1.765625,1.796875,1.663035,1648800\n1999-03-30,1.802083,1.817708,1.635417,1.645833,1.523244,1737600\n1999-03-31,1.697917,1.781250,1.619792,1.760417,1.629292,3840000\n1999-04-01,1.760417,1.770833,1.677083,1.708333,1.581088,760800\n1999-04-05,1.687500,1.729167,1.645833,1.656250,1.532884,2466000\n1999-04-06,1.671875,1.677083,1.583333,1.614583,1.494321,1742400\n1999-04-07,1.625000,1.760417,1.614583,1.750000,1.619651,2232000\n1999-04-08,1.760417,1.833333,1.739583,1.781250,1.648574,3253200\n1999-04-09,1.791667,1.791667,1.739583,1.750000,1.619651,1215600\n1999-04-12,1.729167,1.729167,1.645833,1.677083,1.552166,832800\n1999-04-13,1.708333,1.708333,1.583333,1.609375,1.489501,903600\n1999-04-14,1.604167,1.640625,1.562500,1.562500,1.446117,1207200\n1999-04-15,1.604167,1.604167,1.562500,1.604167,1.484681,896400\n1999-04-16,1.593750,1.682292,1.593750,1.656250,1.532884,973200\n1999-04-19,1.677083,1.677083,1.562500,1.583333,1.465399,782400\n1999-04-20,1.583333,1.645833,1.536458,1.552083,1.436477,1692000\n1999-04-21,1.552083,1.583333,1.541667,1.578125,1.460579,937200\n1999-04-22,1.583333,1.583333,1.494792,1.510417,1.397913,5679600\n1999-04-23,1.505208,1.510417,1.427083,1.437500,1.330428,3151200\n1999-04-26,1.437500,1.458333,1.333333,1.364583,1.262943,3087600\n1999-04-27,1.395833,1.520833,1.375000,1.510417,1.397913,5673600\n1999-04-28,1.520833,1.520833,1.453125,1.500000,1.388273,3002400\n1999-04-29,1.505208,1.510417,1.468750,1.500000,1.388273,1203600\n1999-04-30,1.515625,1.583333,1.505208,1.520833,1.407555,2482800\n1999-05-03,1.536458,1.536458,1.489583,1.531250,1.417195,846000\n1999-05-04,1.531250,1.531250,1.416667,1.447917,1.340069,2401200\n1999-05-05,1.458333,1.479167,1.375000,1.479167,1.368991,3614400\n1999-05-06,1.468750,1.500000,1.406250,1.450517,1.342475,890400\n1999-05-07,1.406250,1.468750,1.406250,1.458333,1.349710,625200\n1999-05-10,1.447917,1.489583,1.447917,1.458333,1.349710,492000\n1999-05-11,1.520833,1.583333,1.489583,1.536458,1.422016,4293600\n1999-05-12,1.552083,1.588542,1.531250,1.583333,1.465399,4212000\n1999-05-13,1.583333,1.625000,1.578125,1.583333,1.465399,1748400\n1999-05-14,1.583333,1.583333,1.479167,1.500000,1.388273,711600\n1999-05-17,1.479167,1.572917,1.473958,1.572917,1.455758,894000\n1999-05-18,1.588542,1.666667,1.541667,1.645833,1.523244,3788400\n1999-05-19,1.718750,1.781250,1.546875,1.572917,1.455758,11293200\n1999-05-20,1.583333,1.583333,1.390625,1.447917,1.340069,4454400\n1999-05-21,1.427083,1.427083,1.375000,1.416667,1.311146,7587600\n1999-05-24,1.427083,1.458333,1.390625,1.411458,1.306326,4065600\n1999-05-25,1.416667,1.437500,1.406250,1.421875,1.315967,3252000\n1999-05-26,1.416667,1.489583,1.416667,1.416667,1.311146,2618400\n1999-05-27,1.427083,1.427083,1.406250,1.406250,1.301506,2058000\n1999-05-28,1.427083,1.427083,1.406250,1.421875,1.315967,2216400\n1999-06-01,1.416667,1.427083,1.395833,1.427083,1.320787,2463600\n1999-06-02,1.427083,1.427083,1.375000,1.375000,1.272583,3253200\n1999-06-03,1.411458,1.421875,1.395833,1.411458,1.306326,1039200\n1999-06-04,1.421875,1.427083,1.411458,1.421875,1.315967,1972800\n1999-06-07,1.429683,1.458333,1.427083,1.437500,1.330428,3128400\n1999-06-08,1.442708,1.500000,1.437500,1.473958,1.364171,3832800\n1999-06-09,1.479167,1.531250,1.479167,1.500000,1.388273,2379600\n1999-06-10,1.500000,1.510417,1.489583,1.505208,1.393093,902400\n1999-06-11,1.505208,1.510417,1.421875,1.473958,1.364171,1525200\n1999-06-14,1.476558,1.479167,1.406250,1.416667,1.311146,1291200\n1999-06-15,1.416667,1.427083,1.395833,1.416667,1.311146,1232400\n1999-06-16,1.437500,1.500000,1.416667,1.458333,1.349710,1610400\n1999-06-17,1.447917,1.468750,1.416667,1.416667,1.311146,1873200\n1999-06-18,1.427083,1.427083,1.364583,1.364583,1.262943,3968400\n1999-06-21,1.406250,1.437500,1.368483,1.437500,1.330428,2086800\n1999-06-22,1.437500,1.437500,1.380208,1.411458,1.306326,4826400\n1999-06-23,1.395833,1.437500,1.380208,1.437500,1.330428,5272800\n1999-06-24,1.447917,1.447917,1.395833,1.406250,1.301506,2880000\n1999-06-25,1.395833,1.442708,1.395833,1.427083,1.320787,1838400\n1999-06-28,1.473958,1.473958,1.416667,1.447917,1.340069,2728800\n1999-06-29,1.468750,1.484375,1.447917,1.463542,1.354530,2317200\n1999-06-30,1.510417,1.593750,1.479167,1.593750,1.475040,6730800\n1999-07-01,1.593750,1.593750,1.427083,1.510417,1.397913,2224800\n1999-07-02,1.531250,1.619792,1.500000,1.619792,1.499142,5622000\n1999-07-06,1.635417,1.635417,1.604167,1.625000,1.503962,4952400\n1999-07-07,1.635417,1.635417,1.593750,1.593750,1.475040,1578000\n1999-07-08,1.604167,1.656250,1.552083,1.630208,1.508783,4651200\n1999-07-09,1.625000,1.781250,1.625000,1.768225,1.636519,5293200\n1999-07-12,1.875000,1.927083,1.802083,1.848958,1.711239,10026000\n1999-07-13,1.869792,1.880208,1.770833,1.854167,1.716060,3471600\n1999-07-14,1.854167,1.895833,1.770833,1.781250,1.648574,3448800\n1999-07-15,1.796875,1.854167,1.791667,1.791667,1.658215,3426000\n1999-07-16,1.822917,1.843750,1.791667,1.828125,1.691957,2596800\n1999-07-19,1.833333,1.838542,1.770833,1.781250,1.648574,1090800\n1999-07-20,1.781250,1.781250,1.687500,1.750000,1.619651,4468800\n1999-07-21,1.729167,1.729167,1.645833,1.697917,1.571447,2802000\n1999-07-22,1.687500,1.687500,1.604167,1.619792,1.499142,5331600\n1999-07-23,1.614583,1.666667,1.614583,1.619792,1.499142,2006400\n1999-07-26,1.661458,1.661458,1.625000,1.625000,1.503962,1513200\n1999-07-27,1.625000,1.635417,1.604167,1.630208,1.508783,2464800\n1999-07-28,1.625000,1.677083,1.619792,1.656250,1.532884,6105600\n1999-07-29,1.625000,1.677083,1.614583,1.671875,1.547346,9720000\n1999-07-30,1.671875,1.718750,1.666667,1.677083,1.552166,11307600\n1999-08-02,1.677083,1.697917,1.666667,1.692708,1.566627,7833600\n1999-08-03,1.692708,1.692708,1.635417,1.651042,1.528064,6380400\n1999-08-04,1.661458,1.666667,1.645833,1.651042,1.528064,2248800\n1999-08-05,1.651042,1.677083,1.625000,1.677083,1.552166,6014400\n1999-08-06,1.671875,1.682292,1.666667,1.677083,1.552166,4599600\n1999-08-09,1.682292,1.697917,1.666667,1.677083,1.552166,776400\n1999-08-10,1.687500,1.781250,1.677083,1.708333,1.581088,5301600\n1999-08-11,1.739583,1.843750,1.718750,1.822917,1.687137,4942800\n1999-08-12,1.833333,1.958333,1.822917,1.911458,1.769083,5990400\n1999-08-13,1.895833,1.932292,1.875000,1.890625,1.749802,2116800\n1999-08-16,1.906250,1.906250,1.755208,1.817708,1.682317,5586000\n1999-08-17,1.822917,1.854167,1.776042,1.822917,1.687137,4838400\n1999-08-18,1.802083,1.885417,1.765625,1.864583,1.725700,6997200\n1999-08-19,1.994792,2.364583,1.927083,2.260417,2.092050,49174800\n1999-08-20,2.265625,2.281250,2.156250,2.239583,2.072768,8827200\n1999-08-23,2.208333,2.208333,2.031250,2.104167,1.947438,12699600\n1999-08-24,2.072917,2.114583,1.968750,2.093750,1.937797,9951600\n1999-08-25,2.098958,2.119792,2.000000,2.083333,1.928156,8758800\n1999-08-26,2.083333,2.114583,2.020833,2.052083,1.899234,6884400\n1999-08-27,2.093750,2.250000,2.083333,2.166667,2.005283,13809600\n1999-08-30,2.203125,2.244792,2.067708,2.158850,1.998048,3966000\n1999-08-31,2.166667,2.354167,2.125000,2.343750,2.169176,19671600\n1999-09-01,2.343750,2.343750,2.197917,2.234375,2.067948,14133600\n1999-09-02,2.161458,2.218750,2.114583,2.208333,2.043846,8527200\n1999-09-03,2.250000,2.281250,2.208333,2.223958,2.058307,6471600\n1999-09-07,2.260417,2.260417,2.203125,2.213542,2.048666,3110400\n1999-09-08,2.218750,2.234375,2.208333,2.208333,2.043846,4251600\n1999-09-09,2.229167,2.244792,2.135417,2.177083,2.014924,5236800\n1999-09-10,2.213542,2.239583,2.197917,2.208333,2.043846,4185600\n1999-09-13,2.218750,2.218750,2.114583,2.135417,1.976361,4360800\n1999-09-14,2.135417,2.135417,2.062500,2.072917,1.918516,6259200\n1999-09-15,2.046875,2.114583,2.031250,2.088542,1.932977,5318400\n1999-09-16,2.062500,2.083333,2.010417,2.036458,1.884773,3952800\n1999-09-17,2.023433,2.041667,1.958333,2.031250,1.879953,4291200\n1999-09-20,1.994792,2.020833,1.958333,1.958333,1.812467,5727600\n1999-09-21,1.916667,1.927083,1.744792,1.770833,1.638933,18433200\n1999-09-22,1.770833,1.822917,1.666667,1.812500,1.677496,9399600\n1999-09-23,1.817708,1.822917,1.645833,1.661458,1.537705,9489600\n1999-09-24,1.666667,1.708333,1.395833,1.510417,1.397913,17122800\n1999-09-27,1.609375,1.635417,1.510417,1.604167,1.484681,10800000\n1999-09-28,1.606767,1.770833,1.604167,1.750000,1.619651,10329600\n1999-09-29,1.786458,1.854167,1.583333,1.609375,1.489501,14851200\n1999-09-30,1.666667,1.718750,1.583333,1.604167,1.484681,8563200\n1999-10-01,1.578125,1.635417,1.510417,1.593750,1.475040,8694000\n1999-10-04,1.645833,1.651042,1.604167,1.625000,1.503962,4440000\n1999-10-05,1.625000,1.791667,1.625000,1.781250,1.648574,11952000\n1999-10-06,1.786458,2.083333,1.770833,1.994792,1.846210,37718400\n1999-10-07,2.078125,2.078125,1.854167,1.864583,1.725700,12182400\n1999-10-08,1.864583,2.015625,1.791667,1.958333,1.812467,9973200\n1999-10-11,1.973958,1.979167,1.854167,1.906250,1.764263,13611600\n1999-10-12,1.916667,1.937500,1.875000,1.880208,1.740161,8074800\n1999-10-13,1.859375,1.859375,1.791667,1.828125,1.691957,7009200\n1999-10-14,1.833333,1.833333,1.770833,1.791667,1.658215,4808400\n1999-10-15,1.703125,1.791667,1.697917,1.781250,1.648574,5268000\n1999-10-18,1.786458,1.786458,1.677083,1.687500,1.561807,5379600\n1999-10-19,1.739583,1.739583,1.588542,1.619792,1.499142,7723200\n1999-10-20,1.645833,1.697917,1.619792,1.677083,1.552166,8718000\n1999-10-21,1.671875,1.755208,1.625000,1.755208,1.624472,9553200\n1999-10-22,1.750000,1.848958,1.750000,1.796875,1.663035,7168800\n1999-10-25,1.786458,1.812500,1.708333,1.708333,1.581088,5346000\n1999-10-26,1.781250,1.937500,1.770833,1.875000,1.735341,12031200\n1999-10-27,1.885417,1.895833,1.760417,1.791667,1.658215,5353200\n1999-10-28,1.802083,1.833333,1.697917,1.708333,1.581088,5569200\n1999-10-29,1.729167,1.875000,1.718750,1.843750,1.706419,8263200\n1999-11-01,1.812500,2.031250,1.812500,1.958333,1.812467,19563600\n1999-11-02,1.994792,2.093750,1.979167,2.083333,1.928156,20937600\n1999-11-03,2.166667,2.343750,2.151042,2.286458,2.116152,50292000\n1999-11-04,2.312500,2.494792,2.312500,2.432292,2.251123,31508400\n1999-11-05,2.500000,2.520833,2.239583,2.354167,2.178817,15409200\n1999-11-08,2.281250,2.489583,2.208333,2.421875,2.241482,11750400\n1999-11-09,2.416667,2.427083,2.291667,2.385417,2.207740,6808800\n1999-11-10,2.393225,2.395833,2.317708,2.364583,2.188458,3601200\n1999-11-11,2.364583,2.656250,2.312500,2.531250,2.342711,14067600\n1999-11-12,2.640625,2.666667,2.489583,2.666667,2.468041,12537600\n1999-11-15,2.684892,2.765625,2.572917,2.614583,2.419837,9055200\n1999-11-16,2.677083,2.916667,2.666667,2.864583,2.651215,18094800\n1999-11-17,2.916667,3.125000,2.875000,2.973958,2.752443,19659600\n1999-11-18,3.036458,3.062500,2.958333,2.984375,2.762084,5899200\n1999-11-19,3.343750,3.697917,3.333333,3.572917,3.306788,54129600\n1999-11-22,3.664058,3.666667,3.354167,3.567708,3.301968,13504800\n1999-11-23,3.203125,3.348958,3.166667,3.312500,3.065768,13831200\n1999-11-24,3.296875,3.333333,2.963542,3.208333,2.969361,10171200\n1999-11-26,3.177083,3.208333,3.083333,3.187500,2.950080,1794000\n1999-11-29,3.177083,3.218750,3.000000,3.072917,2.844031,7465200\n1999-11-30,3.083333,3.135417,2.885417,2.885417,2.670497,7867200\n1999-12-01,2.885417,3.072917,2.885417,3.031250,2.805467,5588400\n1999-12-02,3.041667,3.296875,3.041667,3.255208,3.012744,7747200\n1999-12-03,3.286458,3.343750,3.135417,3.177083,2.940439,8569200\n1999-12-06,3.187500,3.281250,3.187500,3.265625,3.022386,4465200\n1999-12-07,3.291667,3.296875,3.031250,3.156250,2.921157,4659600\n1999-12-08,3.145833,3.328125,3.135417,3.296875,3.051308,5042400\n1999-12-09,3.291667,3.375000,3.083333,3.197917,2.959720,5373600\n1999-12-10,3.255208,3.270833,3.104167,3.161458,2.925978,2457600\n1999-12-13,3.125000,3.234375,3.083333,3.151042,2.916337,4596000\n1999-12-14,3.156250,3.234375,3.067708,3.098958,2.868133,6847200\n1999-12-15,3.078125,3.093750,2.927083,3.000000,2.776546,5149200\n1999-12-16,3.015625,3.062500,2.968750,2.979167,2.757264,3314400\n1999-12-17,3.062500,3.182292,3.046875,3.135417,2.901876,6552000\n1999-12-20,3.140625,3.457025,3.031250,3.395833,3.142895,10060800\n1999-12-21,3.395833,3.546875,3.270833,3.541667,3.277866,9709200\n1999-12-22,3.552083,3.666667,3.416667,3.625000,3.354993,6279600\n1999-12-23,3.630208,3.875000,3.614583,3.864583,3.576730,7005600\n1999-12-27,3.947917,3.953125,3.677083,3.718750,3.441760,5060400\n1999-12-28,3.718750,3.854167,3.697917,3.708333,3.432119,4479600\n1999-12-29,3.700517,3.875000,3.697917,3.833333,3.547807,3303600\n1999-12-30,3.833333,3.890625,3.770833,3.864583,3.576730,3494400\n1999-12-31,3.856767,3.916667,3.843750,3.911458,3.620114,3183600\n2000-01-03,3.937500,3.968750,3.677083,3.901042,3.610473,7522800\n2000-01-04,3.833333,3.843750,3.604167,3.796875,3.514066,7512000\n2000-01-05,3.687500,3.750000,3.619792,3.671875,3.398376,4708800\n2000-01-06,3.671875,3.671875,3.291667,3.432292,3.176638,3012000\n2000-01-07,3.416667,3.526042,3.364583,3.489583,3.229662,1779600\n2000-01-10,3.500000,3.750000,3.437500,3.604167,3.335711,5996400\n2000-01-11,3.583333,3.625000,3.458333,3.458333,3.200740,3703200\n2000-01-12,3.458333,3.463542,3.322917,3.369792,3.118793,3088800\n2000-01-13,3.364583,3.541667,3.322917,3.510417,3.248944,3304800\n2000-01-14,3.562500,3.807292,3.552083,3.661458,3.388735,15114000\n2000-01-18,3.708333,3.833333,3.541667,3.817708,3.533347,6541200\n2000-01-19,3.833333,3.833333,3.750000,3.781250,3.499604,4117200\n2000-01-20,3.812500,4.020833,3.739583,3.770833,3.489963,4489200\n2000-01-21,3.760417,3.776042,3.635417,3.729167,3.451401,13606800\n2000-01-24,3.848958,3.848958,3.541667,3.562500,3.297148,6423600\n2000-01-25,3.578125,3.614583,3.416667,3.531250,3.268226,5928000\n2000-01-26,3.531250,3.625000,3.322917,3.385417,3.133255,5811600\n2000-01-27,3.411458,3.411458,3.083333,3.208333,2.969361,11455200\n2000-01-28,3.166667,3.187500,2.989583,3.114583,2.882594,4861200\n2000-01-31,3.130208,3.197917,2.916667,3.088542,2.858492,4560000\n2000-02-01,3.093750,3.187500,2.979167,3.161458,2.925978,2324400\n2000-02-02,3.177083,3.312500,3.161458,3.250000,3.007924,3726000\n2000-02-03,3.354167,3.421875,3.281250,3.302083,3.056128,2706000\n2000-02-04,3.406250,3.406250,3.312500,3.380208,3.128434,3092400\n2000-02-07,3.395833,3.395833,3.166667,3.171875,2.935618,5437200\n2000-02-08,3.250000,3.437500,3.166667,3.322917,3.075409,11720400\n2000-02-09,3.447917,3.505208,3.401042,3.406250,3.152536,14726400\n2000-02-10,3.614583,4.166667,3.614583,4.104167,3.798469,24252000\n2000-02-11,4.307292,4.312500,3.864583,4.166667,3.856313,10594800\n2000-02-14,4.177083,4.833333,4.135417,4.833333,4.473323,16252800\n2000-02-15,4.843750,4.848958,4.447917,4.645833,4.299788,11262000\n2000-02-16,4.697917,5.020833,4.645833,4.859375,4.497425,25489200\n2000-02-17,4.854167,5.062500,4.781250,5.031250,4.656496,13394400\n2000-02-18,4.958333,5.687500,4.921875,5.614583,5.196381,24021600\n2000-02-22,5.437500,5.510417,5.250000,5.458333,5.051770,13562400\n2000-02-23,5.395833,5.546875,5.328125,5.489583,5.080692,12784800\n2000-02-24,5.520833,5.557292,5.208333,5.437500,5.032489,6108000\n2000-02-25,5.442708,5.442708,4.875000,5.098958,4.719164,6968400\n2000-02-28,5.072917,5.125000,4.979167,5.062500,4.685421,12946800\n2000-02-29,5.031250,5.395833,5.031250,5.333333,4.936082,7651200\n2000-03-01,5.333333,5.333333,5.093750,5.177083,4.791470,9589200\n2000-03-02,5.218750,5.218750,4.812500,4.828125,4.468503,4776000\n2000-03-03,4.833333,4.958333,4.791667,4.906250,4.540808,6842400\n2000-03-06,4.937500,5.312500,4.833333,4.875000,4.511886,10802400\n2000-03-07,6.250000,7.270833,5.979167,6.942708,6.425582,48805200\n2000-03-08,6.938800,7.062500,6.437500,7.000000,6.478606,16718400\n2000-03-09,7.083333,9.000000,7.062500,8.358067,7.735517,23823600\n2000-03-10,8.791667,12.083333,8.729167,9.833333,9.100898,54030000\n2000-03-13,8.916667,12.500000,8.833333,12.437500,11.511096,60379200\n2000-03-14,12.369792,12.369792,9.000000,9.177083,8.493527,39194400\n2000-03-15,9.834633,10.088542,8.500000,8.802083,8.146460,24890400\n2000-03-16,9.083333,9.395833,7.718750,7.847650,7.263118,18759600\n2000-03-17,7.666667,8.916667,7.665359,8.322917,7.702986,13940400\n2000-03-20,8.651042,8.927083,8.052083,8.317708,7.698164,9132000\n2000-03-21,8.333333,8.406250,7.250000,7.906250,7.317354,13416000\n2000-03-22,7.968750,8.208333,7.833333,7.963542,7.370378,5764800\n2000-03-23,7.890625,8.541667,7.875000,8.104167,7.500529,7735200\n2000-03-24,8.052083,8.416667,7.500000,7.765625,7.187204,5790000\n2000-03-27,7.750000,8.000000,7.187500,7.255208,6.714807,9723600\n2000-03-28,7.005208,7.083333,6.583333,6.713542,6.213484,9832800\n2000-03-29,6.739583,6.895833,6.000000,6.270833,5.803751,11736000\n2000-03-30,6.083333,6.812500,5.875000,6.234375,5.770008,9048000\n2000-03-31,6.660150,7.322917,6.541667,7.040359,6.515959,24074400\n2000-04-03,6.976558,7.000000,6.307292,6.489583,6.006207,8248800\n2000-04-04,6.833333,6.947917,4.750000,6.250000,5.784469,12844800\n2000-04-05,6.312500,8.125000,5.989583,7.640625,7.071514,15990000\n2000-04-06,7.994792,8.401042,7.614583,7.994792,7.399301,10114800\n2000-04-07,8.395833,8.750000,8.041667,8.546875,7.910261,7964400\n2000-04-10,8.692708,9.197917,7.630208,7.791667,7.211305,9882000\n2000-04-11,7.248692,7.916667,6.666667,7.328125,6.782290,11439600\n2000-04-12,7.338542,7.500000,6.541667,6.567708,6.078513,7836000\n2000-04-13,6.619792,6.854167,6.177083,6.286458,5.818213,7832400\n2000-04-14,5.885417,6.338542,5.458333,5.733067,5.306039,10548000\n2000-04-17,5.250000,6.250000,5.250000,6.026042,5.577194,7352400\n2000-04-18,6.632808,7.479167,6.437500,7.093750,6.565373,11937600\n2000-04-19,7.317708,7.416667,6.666667,6.755208,6.252047,6958800\n2000-04-20,6.937500,7.067708,6.625000,6.718750,6.218304,3848400\n2000-04-24,6.333333,6.614583,6.052083,6.385417,5.909800,5149200\n2000-04-25,6.671875,7.291667,6.656250,7.083333,6.555732,6242400\n2000-04-26,7.578125,7.750000,7.000000,7.010417,6.488246,6352800\n2000-04-27,6.541667,7.656250,6.505208,7.583333,7.018491,7024800\n2000-04-28,7.703125,8.000000,7.427083,7.427083,6.873878,4476000\n2000-05-01,7.708333,7.875000,7.484375,7.666667,7.095615,2985600\n2000-05-02,7.666667,8.114583,7.156250,7.369792,6.820854,5850000\n2000-05-03,7.322917,7.562500,6.666667,7.250000,6.709986,8229600\n2000-05-04,7.234375,7.645833,7.171875,7.338542,6.791931,6030000\n2000-05-05,7.307292,7.854167,7.208333,7.677083,7.105257,4264800\n2000-05-08,7.479167,7.750000,7.385417,7.395833,6.844956,4628400\n2000-05-09,7.520833,7.583333,7.083333,7.291667,6.748549,4420800\n2000-05-10,7.218750,7.223958,6.510417,6.572917,6.083333,6852000\n2000-05-11,6.666667,6.973958,6.578125,6.854167,6.343636,6147600\n2000-05-12,7.041667,7.416667,6.645833,6.645833,6.150819,4695600\n2000-05-15,6.614583,7.218750,6.291667,7.104167,6.575014,7052400\n2000-05-16,7.416667,8.057292,7.333333,7.833333,7.249868,9160800\n2000-05-17,8.250000,9.552083,8.244792,9.208333,8.522453,32265600\n2000-05-18,9.260417,9.411458,8.526042,8.583333,7.944006,12747600\n2000-05-19,8.333333,8.791667,8.270833,8.510417,7.876523,13029600\n2000-05-22,8.416667,9.062500,7.671875,9.062500,8.387482,12928800\n2000-05-23,8.833333,9.828125,8.687500,8.989583,8.319996,19464000\n2000-05-24,8.979167,9.125000,7.687500,8.875000,8.213944,18490800\n2000-05-25,9.005208,9.541667,8.640625,8.750000,8.098257,14229600\n2000-05-26,8.794267,9.036458,8.250000,8.794267,8.139227,4586400\n2000-05-30,9.031250,9.385417,8.989583,9.156250,8.474247,7591200\n2000-05-31,9.125000,9.666667,9.125000,9.510417,8.802034,11738400\n2000-06-01,9.791667,9.880208,9.531250,9.776042,9.047874,10474800\n2000-06-02,9.979167,11.083333,9.979167,10.963542,10.146925,14804400\n2000-06-05,10.947917,11.750000,10.510417,11.199217,10.365046,12297600\n2000-06-06,11.239583,11.656250,10.583333,10.640625,9.848060,9397200\n2000-06-07,10.562500,10.651042,10.010417,10.166667,9.409404,8308800\n2000-06-08,10.427083,10.437500,9.833333,10.244792,9.481709,11517600\n2000-06-09,10.437500,11.000000,10.281250,10.536458,9.751653,11682000\n2000-06-12,10.583333,10.671875,10.020833,10.255208,9.491349,9500400\n2000-06-13,9.968750,10.583333,9.916667,10.578125,9.790216,11196000\n2000-06-14,10.776042,10.833333,10.428383,10.567708,9.780574,6877200\n2000-06-15,10.536458,10.843750,9.968750,10.843750,10.036056,8464800\n2000-06-16,10.804684,12.500000,10.802083,12.479167,11.549659,24696000\n2000-06-19,12.447917,14.270833,12.135417,13.260417,12.272716,26304000\n2000-06-20,13.489583,13.645833,12.916667,13.083333,12.108825,15256800\n2000-06-21,12.880208,14.666667,12.880208,14.411458,13.338022,15372000\n2000-06-22,14.348958,14.645833,13.489583,13.625000,12.610145,15358800\n2000-06-23,13.260417,13.427083,12.333333,12.338542,11.419507,15184800\n2000-06-26,12.583333,13.906250,12.385417,13.828125,12.798139,15457200\n2000-06-27,13.708333,13.937500,11.510417,11.875000,10.990492,15115200\n2000-06-28,12.125000,12.583333,11.083333,11.416667,10.566298,14665200\n2000-06-29,11.218750,11.218750,9.583333,9.770833,9.043055,29622000\n2000-06-30,10.229167,10.770833,9.729167,10.593750,9.804674,30229800\n2000-07-03,10.666667,11.000000,10.083333,10.187500,9.428687,5817000\n2000-07-05,10.145833,10.166667,8.791667,9.093750,8.416405,19448400\n2000-07-06,9.104167,9.979167,8.885417,9.645833,8.927365,15098400\n2000-07-07,10.000000,10.166667,9.500000,9.697917,8.975570,8664000\n2000-07-10,9.531250,10.437500,9.437500,10.197917,9.438328,8781600\n2000-07-11,10.062500,11.541667,9.947917,11.020833,10.199949,18882600\n2000-07-12,11.479167,11.906250,11.114583,11.333333,10.489170,9703800\n2000-07-13,11.572917,12.458333,11.552083,12.395833,11.472531,11468400\n2000-07-14,12.645833,12.885417,12.000000,12.302083,11.385764,7005000\n2000-07-17,12.489583,12.500000,12.125000,12.166667,11.260436,2638800\n2000-07-18,11.500000,12.500000,11.500000,11.927083,11.038693,4591800\n2000-07-19,11.500000,11.583333,10.927083,11.166667,10.334916,4737600\n2000-07-20,11.156250,11.750000,11.125000,11.468750,10.614503,3574800\n2000-07-21,11.500000,11.833333,11.333333,11.614583,10.749472,6298200\n2000-07-24,11.625000,11.708333,10.166667,10.625000,9.833597,7027800\n2000-07-25,10.791667,10.875000,10.208333,10.229167,9.467249,8382600\n2000-07-26,10.229167,10.229167,9.187500,9.468750,8.763471,9501600\n2000-07-27,9.166667,9.291667,8.666667,8.791667,8.136823,8289000\n2000-07-28,8.833333,9.656250,8.333333,9.000000,8.329637,12816600\n2000-07-31,9.500000,10.020833,9.000000,10.000000,9.255151,9280800\n2000-08-01,10.000000,10.083333,9.729167,9.802083,9.071979,8765400\n2000-08-02,9.666667,10.161450,9.510417,10.000000,9.255151,8635800\n2000-08-03,9.000000,10.666667,9.000000,10.437500,9.660064,9216600\n2000-08-04,10.687500,10.833333,10.458333,10.625000,9.833597,4869600\n2000-08-07,10.697917,11.552083,10.656250,11.458333,10.604859,6173400\n2000-08-08,11.208333,11.833333,11.166667,11.208333,10.373482,3202800\n2000-08-09,11.354167,11.427083,10.718750,10.875000,10.064978,3406200\n2000-08-10,10.625000,11.250000,10.416667,11.000000,10.180667,3910800\n2000-08-11,11.020833,11.104167,10.229167,10.739583,9.939647,3298200\n2000-08-14,10.875000,10.979167,10.500000,10.843750,10.036056,2714400\n2000-08-15,10.895833,12.083333,10.864583,11.867184,10.983258,11083200\n2000-08-16,12.510417,12.510417,11.802083,12.166667,11.260436,6655800\n2000-08-17,12.000000,12.458333,11.958333,12.395833,11.472531,3245400\n2000-08-18,12.343750,12.979167,12.322917,12.833333,11.877445,5118000\n2000-08-21,13.302083,13.531250,13.000000,13.031250,12.060618,11611800\n2000-08-22,12.354167,12.625000,11.687500,11.802083,10.923006,16471800\n2000-08-23,11.614583,12.510417,11.375000,12.489583,11.559299,8820000\n2000-08-24,12.416667,12.947917,12.187500,12.822917,11.867805,8315400\n2000-08-25,12.687500,12.958333,12.437500,12.500000,11.568938,3826200\n2000-08-28,12.562500,13.166667,12.416667,13.000000,12.031697,4731600\n2000-08-29,13.052083,13.083333,12.833333,12.968750,12.002778,3734400\n2000-08-30,12.822917,13.260417,12.687500,13.083333,12.108825,4452000\n2000-08-31,13.281250,13.750000,13.020833,13.229167,12.243793,9722400\n2000-09-01,13.500000,13.625000,13.104167,13.250000,12.263074,5103600\n2000-09-05,13.562500,13.572917,13.177083,13.270833,12.282356,6153600\n2000-09-06,13.322917,13.322917,12.250000,12.354167,11.433969,5753400\n2000-09-07,12.541667,13.041667,12.020833,13.020833,12.050978,5994000\n2000-09-08,12.875000,13.166667,12.208333,12.250000,11.337561,5566200\n2000-09-11,12.093750,12.166667,11.291667,11.750000,10.874804,7147200\n2000-09-12,11.760417,12.375000,11.500000,11.677083,10.807316,3149400\n2000-09-13,11.645833,11.864583,11.395833,11.671866,10.802488,5999400\n2000-09-14,11.729167,12.250000,11.416667,11.562500,10.701268,5408400\n2000-09-15,11.500000,11.979167,11.416667,11.815100,10.935052,6064800\n2000-09-18,11.843750,11.916667,11.000000,11.125000,10.296354,4087200\n2000-09-19,10.614583,11.500000,10.500000,11.468750,10.614503,7527600\n2000-09-20,11.156250,11.375000,10.916667,11.093750,10.267433,5689200\n2000-09-21,11.177083,11.822917,11.166667,11.570300,10.708488,8670600\n2000-09-22,10.427083,11.916667,10.416667,11.770833,10.894087,9681600\n2000-09-25,12.135417,12.791667,12.041667,12.614583,11.674989,11689200\n2000-09-26,12.750000,13.062500,12.166667,12.916667,11.954571,8433600\n2000-09-27,12.812500,14.229167,12.812500,13.625000,12.610145,16903200\n2000-09-28,13.500000,14.125000,13.166667,14.041667,12.995776,8345400\n2000-09-29,13.645833,14.166667,13.416667,13.645833,12.629425,9346800\n2000-10-02,13.833333,14.375000,12.979167,13.322917,12.330560,8514600\n2000-10-03,13.395833,13.500000,12.500000,12.604167,11.665348,7506600\n2000-10-04,12.270833,12.666667,12.104167,12.458333,11.530377,10489200\n2000-10-05,12.552083,12.552083,11.906250,12.166667,11.260436,13126200\n2000-10-06,12.197917,12.281250,11.239583,11.406250,10.556657,25679400\n2000-10-09,11.114583,11.833333,10.333333,11.656250,10.788036,16631400\n2000-10-10,11.166667,11.729167,10.666667,10.770833,9.968570,10398600\n2000-10-11,10.114583,11.458333,9.708333,10.864583,10.055337,13394400\n2000-10-12,11.104167,11.750000,10.333333,10.437500,9.660064,10040400\n2000-10-13,10.510417,11.166667,10.398434,10.854167,10.045699,14474400\n2000-10-16,10.854167,10.854167,10.354167,10.604167,9.814318,8480400\n2000-10-17,10.562500,10.604167,9.718750,9.833333,9.100898,11581200\n2000-10-18,9.197917,10.239583,8.760417,9.677083,8.956287,10423800\n2000-10-19,10.302083,10.750000,10.145833,10.614583,9.823956,7372200\n2000-10-20,10.364583,11.875000,10.291667,11.604167,10.739830,9684000\n2000-10-23,11.697917,11.770833,10.979167,11.343750,10.498813,4552800\n2000-10-24,11.291667,11.479167,10.937500,10.979167,10.161384,4849200\n2000-10-25,10.677083,10.833333,9.947917,10.020833,9.274434,9637800\n2000-10-26,10.083333,10.833333,9.375000,10.447917,9.669706,6644400\n2000-10-27,10.458333,10.716133,9.833333,10.208333,9.447967,5274000\n2000-10-30,10.041667,10.268217,9.479167,9.489583,8.782752,4803000\n2000-10-31,9.864583,10.520833,9.562500,10.356767,9.585344,7481400\n2000-11-01,10.104167,10.500000,9.750000,10.354167,9.582939,7613400\n2000-11-02,10.718750,11.416667,10.541667,11.145833,10.315639,4822200\n2000-11-03,11.000000,12.083333,10.916667,11.875000,10.990492,6715800\n2000-11-06,12.156250,13.333333,12.083333,12.791667,11.838880,15876000\n2000-11-07,12.583333,12.583333,11.500000,11.927083,11.038693,6456000\n2000-11-08,12.062500,12.062500,11.395833,11.572917,10.710909,4677000\n2000-11-09,10.875000,11.416667,9.854167,10.364583,9.592580,14113200\n2000-11-10,10.718750,11.250000,9.541667,9.802083,9.071979,20131200\n2000-11-13,9.312500,10.916667,9.000000,9.843750,9.110538,13251000\n2000-11-14,10.500000,11.729167,10.416667,11.645833,10.778393,11768400\n2000-11-15,11.437500,11.802083,10.968750,11.492184,10.636189,10596600\n2000-11-16,11.166667,11.458333,10.666667,10.770833,9.968570,5888400\n2000-11-17,10.854167,11.406250,10.208333,10.562500,9.775755,4469400\n2000-11-20,10.171866,10.177083,9.635417,9.750000,9.023772,7468800\n2000-11-21,10.166667,10.250000,9.062500,9.562500,8.850239,9562800\n2000-11-22,9.166667,9.458333,8.666667,9.062500,8.387482,10243800\n2000-11-24,9.166667,9.937500,9.166667,9.583333,8.869518,4126800\n2000-11-27,10.270833,10.333333,8.877600,9.260417,8.570656,9096600\n2000-11-28,9.401033,9.500000,8.364583,8.570300,7.931941,9558600\n2000-11-29,8.697917,8.708333,7.395833,8.041667,7.442685,15910200\n2000-11-30,7.354167,7.354167,6.062500,6.750000,6.247227,24540600\n2000-12-01,7.166667,8.125000,7.125000,7.416667,6.864238,19602000\n2000-12-04,7.463533,7.708333,6.958333,7.531250,6.970286,11856600\n2000-12-05,8.062500,8.354167,7.312500,8.020833,7.423403,24930600\n2000-12-06,7.864583,8.083333,6.833333,6.875000,6.362917,23773200\n2000-12-07,6.541667,7.114583,6.187500,6.750000,6.247227,19629600\n2000-12-08,7.447917,8.333333,6.752600,8.291667,7.674064,21334800\n2000-12-11,8.020833,8.458333,7.812500,8.291667,7.674064,18940800\n2000-12-12,8.083333,8.229167,7.791667,8.062500,7.461966,10237800\n2000-12-13,8.031250,8.166667,7.291667,7.437500,6.883520,16876800\n2000-12-14,7.385417,7.447917,6.750000,6.927083,6.411121,14225400\n2000-12-15,6.489583,6.895833,6.208333,6.239583,5.774829,27360600\n2000-12-18,6.500000,6.666667,6.354167,6.445300,5.965223,16471800\n2000-12-19,6.541667,7.125000,5.833333,5.958333,5.514528,23655000\n2000-12-20,5.656250,6.479167,5.020833,5.312500,4.916799,27634800\n2000-12-21,5.239583,5.958333,4.583333,4.645833,4.299788,21131400\n2000-12-22,5.020833,6.375000,5.020833,5.843750,5.408479,23727000\n2000-12-26,5.916667,5.979167,5.229167,5.604167,5.186741,8595600\n2000-12-27,5.541667,6.208333,5.312500,5.979167,5.533811,8486400\n2000-12-28,5.739583,6.166667,5.645833,6.010417,5.562732,10480800\n2000-12-29,6.000000,6.197917,5.333333,5.460933,5.054176,12379200\n2001-01-02,5.500000,5.572917,4.968750,4.989583,4.617936,7270200\n2001-01-03,4.833333,6.572917,4.708333,6.520833,6.035130,22759200\n2001-01-04,6.406250,7.437500,6.229167,7.270833,6.729269,20386200\n2001-01-05,7.208333,7.239583,6.041667,6.182283,5.721796,10819200\n2001-01-08,6.010417,7.041667,6.010417,6.770833,6.266510,14344200\n2001-01-09,6.864583,7.041667,6.531250,6.906250,6.391839,7572600\n2001-01-10,6.552083,7.416667,6.395833,7.385417,6.835315,9823200\n2001-01-11,7.208333,8.312500,7.083333,8.000000,7.404121,11191200\n2001-01-12,8.135417,8.625000,7.750000,7.833333,7.249868,16725000\n2001-01-16,7.875000,7.875000,7.093750,7.218750,6.681062,10374600\n2001-01-17,7.770833,8.000000,7.447917,7.479167,6.922081,14814600\n2001-01-18,7.479167,9.125000,7.312500,8.914050,8.250087,23704200\n2001-01-19,9.166667,9.500000,8.541667,8.677083,8.030773,25467600\n2001-01-22,8.416667,8.750000,8.093750,8.333333,7.712626,9442800\n2001-01-23,8.229167,9.333333,8.187500,9.164050,8.481467,10840800\n2001-01-24,9.156250,9.250000,8.593750,9.125000,8.445326,11293200\n2001-01-25,8.812500,8.833333,8.020833,8.208333,7.596938,11000400\n2001-01-26,7.750000,8.567700,7.692700,8.468750,7.837956,6481200\n2001-01-29,8.208333,8.520833,7.916667,8.510417,7.876523,8854200\n2001-01-30,8.645833,8.880200,8.479167,8.697917,8.050054,6093000\n2001-01-31,8.708333,9.041667,8.416667,8.604167,7.963287,8958600\n2001-02-01,8.604167,8.708333,8.229167,8.648434,8.004256,9296400\n2001-02-02,8.656250,8.854167,7.750000,7.812500,7.230587,8013000\n2001-02-05,7.802083,7.854167,7.343750,7.802083,7.220946,9189600\n2001-02-06,7.656250,8.000000,7.638017,7.843750,7.259509,6261000\n2001-02-07,7.791667,7.854167,7.062500,7.479167,6.922081,18009600\n2001-02-08,7.520833,7.947917,7.406250,7.437500,6.883520,9607200\n2001-02-09,7.375000,7.427083,7.114583,7.385417,6.835315,6490200\n2001-02-12,7.302083,7.385417,6.833333,7.187500,6.652139,8858400\n2001-02-13,7.322917,7.750000,7.239583,7.406250,6.854598,11693400\n2001-02-14,7.312500,8.166667,7.000000,7.947917,7.355917,17272200\n2001-02-15,9.041667,9.562500,8.979167,9.406250,8.705626,27712800\n2001-02-16,8.927083,10.166667,8.916667,9.916667,9.178026,27029400\n2001-02-20,9.666667,9.875000,8.916667,8.927083,8.262151,17532600\n2001-02-21,8.593750,9.708333,8.500000,9.333333,8.638139,16162800\n2001-02-22,9.281250,10.000000,9.000000,9.729167,9.004492,20382600\n2001-02-23,9.677083,9.833333,8.750000,9.057283,8.382653,25866600\n2001-02-26,8.791667,9.041667,8.468750,8.854167,8.194665,18795600\n2001-02-27,8.635417,8.979167,8.270833,8.322917,7.702986,13345800\n2001-02-28,8.260417,8.750000,7.291667,7.447917,6.893159,19601400\n2001-03-01,7.354167,8.166667,6.666667,8.036450,7.437856,22882200\n2001-03-02,7.458333,7.989583,7.166667,7.263017,6.722032,35337600\n2001-03-05,6.979167,7.520833,6.937500,7.333333,6.787111,18557400\n2001-03-06,7.708333,8.302083,7.578117,8.041667,7.442685,20860200\n2001-03-07,8.218750,8.708333,8.072917,8.687500,8.040412,23457000\n2001-03-08,8.437500,9.072917,8.437500,8.979167,8.310355,20733600\n2001-03-09,8.510417,8.552083,7.562500,8.343750,7.722268,30419400\n2001-03-12,8.062500,8.437500,7.687500,8.041667,7.442685,19053600\n2001-03-13,8.145833,9.125000,8.104167,9.000000,8.329637,27058800\n2001-03-14,8.593750,9.541667,8.593750,9.510417,8.802034,33778200\n2001-03-15,10.093750,10.622383,9.729167,9.979167,9.235871,46899600\n2001-03-16,9.822917,10.208333,9.531250,9.937500,9.197307,30630000\n2001-03-19,9.885417,10.583333,9.346350,10.510417,9.727550,23597400\n2001-03-20,10.385417,11.041667,9.416667,9.531250,8.821319,49764000\n2001-03-21,9.552083,10.520833,9.500000,10.239583,9.476891,46933800\n2001-03-22,10.333333,11.312500,10.250000,11.270833,10.431326,42444000\n2001-03-23,11.479167,11.687500,10.604167,11.166667,10.334916,37741800\n2001-03-26,11.166667,11.833333,11.166667,11.770833,10.894087,38574000\n2001-03-27,11.541667,11.947917,10.854167,11.343750,10.498813,42553800\n2001-03-28,11.031250,11.645833,11.000000,11.351550,10.506031,35832000\n2001-03-29,11.252600,11.916667,11.020833,11.520833,10.662707,40824000\n2001-03-30,11.437500,11.656250,10.750000,10.820300,10.014354,35579400\n2001-04-02,10.791667,11.052083,10.229167,10.364583,9.592580,31629000\n2001-04-03,10.208333,10.989583,10.197917,10.708333,9.910724,49790400\n2001-04-04,10.302083,10.322917,8.968750,9.604167,8.888803,84061800\n2001-04-05,10.239583,10.656250,9.958333,10.489583,9.708267,43119000\n2001-04-06,10.354167,11.000000,10.177083,10.447917,9.669706,38691600\n2001-04-09,10.650000,10.908334,9.775000,9.940000,9.199619,27429000\n2001-04-10,10.178333,11.200000,10.085000,10.878333,10.068062,29660400\n2001-04-11,11.548333,11.966666,11.216666,11.535000,10.675818,35671800\n2001-04-12,11.321667,12.208333,11.105000,11.708333,10.836239,36006600\n2001-04-16,11.500000,11.741667,11.213333,11.423333,10.572468,19102800\n2001-04-17,11.255000,12.075000,11.250000,11.983334,11.090759,27811200\n2001-04-18,12.488334,14.066667,12.488334,12.876667,11.917553,57546600\n2001-04-19,12.950000,14.205000,12.891666,13.983334,12.941788,40806600\n2001-04-20,13.815000,14.998333,13.450000,14.493333,13.413800,44346000\n2001-04-23,14.178333,14.191667,13.583333,13.728333,12.705780,30975000\n2001-04-24,13.690000,14.715000,12.541667,12.756667,11.806487,45708000\n2001-04-25,12.790000,13.798333,12.741667,13.343333,12.349456,35593200\n2001-04-26,13.633333,13.633333,12.166667,12.291667,11.376124,37150200\n2001-04-27,12.766666,13.221666,12.518333,13.166667,12.185952,22891800\n2001-04-30,13.525000,14.658334,13.238334,13.883333,12.849236,39582000\n2001-05-01,13.933333,15.216666,13.708333,15.180000,14.049319,46684200\n2001-05-02,15.575000,15.575000,14.633333,14.831667,13.726934,38694600\n2001-05-03,14.383333,14.833333,14.293333,14.766666,13.666773,24012600\n2001-05-04,14.333333,15.205000,14.266666,14.970000,13.854959,23838000\n2001-05-07,14.913333,15.750000,14.738334,15.641666,14.476599,24390000\n2001-05-08,15.873333,15.880000,14.376667,14.510000,13.429223,40503600\n2001-05-09,14.048333,14.353333,13.733334,13.830000,12.799874,32976000\n2001-05-10,14.230000,14.398334,13.200000,13.365000,12.369508,24972600\n2001-05-11,13.331667,13.416667,12.756667,13.023334,12.053291,23030400\n2001-05-14,13.061666,13.290000,12.591666,13.135000,12.156641,17560800\n2001-05-15,13.250000,14.166667,13.100000,13.606667,12.593176,31065000\n2001-05-16,13.295000,14.333333,13.210000,14.248333,13.187048,23927400\n2001-05-17,14.295000,14.916667,14.075000,14.500000,13.419971,22976400\n2001-05-18,14.451667,14.833333,14.100000,14.383333,13.311996,14395800\n2001-05-21,14.351666,15.333333,14.063334,15.033334,13.913580,26617200\n2001-05-22,15.253333,15.633333,14.666667,15.483334,14.330060,26249400\n2001-05-23,16.091667,16.666666,15.166667,15.351666,14.208200,56122800\n2001-05-24,15.250000,15.973333,14.791667,15.578333,14.417984,42014400\n2001-05-25,15.265000,15.491667,15.000000,15.283334,14.144956,23698800\n2001-05-29,15.196667,15.200000,14.450000,14.656667,13.564968,23014200\n2001-05-30,14.311666,15.038333,14.233334,14.383333,13.311996,82722600\n2001-05-31,14.498333,14.583333,13.960000,14.268333,13.205561,31573200\n2001-06-01,14.366667,15.180000,14.283334,15.058333,13.936717,25561800\n2001-06-04,15.068334,15.148334,14.626667,14.825000,13.720761,15538800\n2001-06-05,14.808333,15.758333,14.783334,15.603333,14.441122,24679200\n2001-06-06,15.661667,15.875000,15.433333,15.670000,14.502824,17474400\n2001-06-07,15.531667,16.600000,15.416667,16.555000,15.321903,28528800\n2001-06-08,16.504999,16.530001,15.953333,16.125000,14.923932,17817000\n2001-06-11,16.148333,16.166666,15.403334,15.653334,14.487400,14548200\n2001-06-12,15.325000,16.408333,15.291667,16.174999,14.970208,27568200\n2001-06-13,16.293333,16.540001,15.491667,15.631667,14.467347,23467800\n2001-06-14,15.430000,15.865000,15.208333,15.598333,14.436495,23653800\n2001-06-15,15.416667,16.116667,15.130000,15.841666,14.661702,27363600\n2001-06-18,15.801666,16.058332,15.041667,15.215000,14.081714,21416400\n2001-06-19,15.501667,15.863334,14.075000,14.383333,13.311996,37828200\n2001-06-20,14.118333,15.166667,13.825000,15.001667,13.884270,43980000\n2001-06-21,14.941667,15.550000,14.541667,15.285000,14.146498,37114200\n2001-06-22,15.208333,15.615000,15.016666,15.216666,14.083254,19029600\n2001-06-25,15.386666,15.450000,14.743333,15.186666,14.055489,16000800\n2001-06-26,14.850000,15.700000,14.791667,15.625000,14.461173,18948000\n2001-06-27,15.550000,15.583333,14.876667,15.141666,14.013843,22393800\n2001-06-28,15.345000,15.541667,15.166667,15.320000,14.178894,22733400\n2001-06-29,15.375000,15.700000,15.201667,15.458333,14.306922,18273000\n2001-07-02,14.846666,14.971666,14.550000,14.773334,13.672941,26000400\n2001-07-03,14.671667,15.116667,14.596666,14.961667,13.847250,10157400\n2001-07-05,14.783334,14.875000,13.858334,13.876667,12.843067,25502400\n2001-07-06,13.668333,13.775000,13.183333,13.450000,12.448180,20070600\n2001-07-09,13.275000,13.596666,12.883333,13.010000,12.040955,25351800\n2001-07-10,13.183333,13.358334,12.958333,13.116667,12.139672,30543600\n2001-07-11,13.066667,13.301666,12.686666,13.091666,12.116535,22615800\n2001-07-12,13.708333,13.875000,13.375000,13.778334,12.752058,24538800\n2001-07-13,13.676666,13.826667,13.208333,13.493333,12.488284,17253600\n2001-07-16,13.341666,13.500000,12.341666,12.408334,11.484100,29792400\n2001-07-17,12.200000,13.223333,12.083333,13.101666,12.125792,29247600\n2001-07-18,12.790000,13.143333,12.380000,12.648334,11.706226,21024600\n2001-07-19,12.831667,13.386666,12.635000,12.851666,11.894415,21000600\n2001-07-20,12.531667,12.816667,12.083333,12.481667,11.551970,18561600\n2001-07-23,12.500000,12.516666,11.285000,11.300000,10.458320,38699400\n2001-07-24,11.451667,12.075000,11.210000,12.065000,11.166340,34132800\n2001-07-25,12.043333,12.066667,11.546667,11.948334,11.058365,31147200\n2001-07-26,11.835000,13.250000,11.775000,13.166667,12.185952,42853800\n2001-07-27,13.141666,13.645000,12.750000,13.500000,12.494454,27367200\n2001-07-30,13.516666,13.571667,13.033334,13.178333,12.196746,14557200\n2001-07-31,13.196667,13.541667,12.716666,13.483334,12.479029,29694000\n2001-08-01,13.748333,14.376667,13.653334,14.306666,13.241036,30123600\n2001-08-02,14.488334,14.698334,13.998333,14.646667,13.555715,27448200\n2001-08-03,14.500000,14.756667,14.226666,14.531667,13.449279,20508600\n2001-08-06,14.428333,15.120000,14.273334,14.971666,13.856503,32314200\n2001-08-07,14.968333,15.041667,14.575000,14.750000,13.651348,27215400\n2001-08-08,14.621667,15.000000,14.310000,14.375000,13.304278,28142400\n2001-08-09,14.308333,14.590000,13.866667,14.123333,13.071360,41090400\n2001-08-10,14.116667,14.300000,13.683333,14.106667,13.055935,25912200\n2001-08-13,14.348333,14.858334,14.135000,14.698334,13.603531,37869600\n2001-08-14,14.431666,14.525000,14.126667,14.308333,13.242579,58029000\n2001-08-15,14.631667,14.803333,14.198334,14.325000,13.258005,45409800\n2001-08-16,14.061666,14.950000,14.005000,14.928333,13.816398,25652400\n2001-08-17,14.550000,14.740000,13.843333,13.961667,12.921734,41721000\n2001-08-20,13.873333,14.015000,13.440000,13.865000,12.832266,29583000\n2001-08-21,13.900000,14.266666,13.551666,13.573334,12.562328,29666400\n2001-08-22,13.813334,14.146667,13.375000,14.131667,13.079075,37452600\n2001-08-23,14.083333,14.265000,13.750000,13.818334,12.789079,25339800\n2001-08-24,13.966666,14.498333,13.885000,14.213333,13.154656,27773400\n2001-08-27,13.895000,14.893333,13.841666,14.705000,13.609700,31990200\n2001-08-28,14.665000,14.991667,14.400000,14.513333,13.432309,29469000\n2001-08-29,14.553333,14.645000,13.925000,14.046667,13.000402,35895000\n2001-08-30,13.783334,14.100000,13.458333,14.001667,12.958755,35782800\n2001-08-31,13.908334,14.246667,13.725000,14.118333,13.066731,22197600\n2001-09-04,14.080000,14.080000,13.038333,13.136666,12.158184,46403400\n2001-09-05,13.125000,13.516666,12.591666,13.416667,12.417330,59889600\n2001-09-06,13.151667,13.566667,12.808333,12.868333,11.909836,48769200\n2001-09-07,12.666667,13.200000,12.600000,13.003333,12.034780,49256400\n2001-09-10,12.893333,13.091666,12.365000,12.626667,11.686171,46809000\n2001-09-17,11.840000,12.130000,11.273334,11.330000,10.486089,28464900\n2001-09-18,11.550000,11.633333,10.390000,10.646667,9.853652,22359300\n2001-09-19,10.706667,10.830000,9.020000,10.516666,9.733335,39047700\n2001-09-20,9.953333,10.316667,9.333333,9.626667,8.909625,36767400\n2001-09-21,8.883333,9.426666,8.670000,8.990000,8.320382,30657600\n2001-09-24,9.703333,10.146667,9.273334,10.000000,9.255151,37687500\n2001-09-25,10.030000,10.463333,9.580000,9.610000,8.894202,23543100\n2001-09-26,9.733334,9.766666,9.166667,9.263333,8.573357,10770300\n2001-09-27,9.230000,9.333333,8.503333,8.750000,8.098257,22682400\n2001-09-28,9.000000,9.603333,8.616667,9.156667,8.474634,26121900\n2001-10-01,9.150000,9.300000,8.233334,8.380000,7.755816,24320100\n2001-10-02,8.366667,8.700000,7.553333,7.960000,7.367101,28075800\n2001-10-03,7.920000,10.030000,7.920000,9.526667,8.817075,44970600\n2001-10-04,10.033334,11.266666,9.686666,10.763333,9.961626,49514400\n2001-10-05,10.600000,11.230000,10.196667,10.966666,10.149814,26955300\n2001-10-08,10.533334,11.630000,10.533334,11.213333,10.378112,19147500\n2001-10-09,11.243333,11.466666,10.406667,10.726666,9.927691,22938900\n2001-10-10,10.536667,11.500000,10.466666,11.416667,10.566298,24203100\n2001-10-11,12.026667,12.686666,11.963333,12.653334,11.710854,22950000\n2001-10-12,12.333333,13.500000,12.290000,13.476666,12.472858,31327500\n2001-10-15,13.083333,13.833333,12.716666,13.416667,12.417330,22714200\n2001-10-16,13.400000,14.873333,13.123333,14.766666,13.666773,34596300\n2001-10-17,15.093333,15.100000,13.833333,13.900000,12.864659,42388500\n2001-10-18,13.900000,14.623333,13.866667,14.486667,13.407632,25521600\n2001-10-19,14.280000,15.000000,14.100000,14.786667,13.685285,26481600\n2001-10-22,14.676666,15.333333,14.350000,15.136666,14.009214,24270600\n2001-10-23,15.330000,15.603333,14.533334,14.870000,13.762410,23825700\n2001-10-24,14.600000,15.563334,14.433333,15.526667,14.370166,30303600\n2001-10-25,15.166667,16.713333,14.933333,16.436666,15.212382,28809900\n2001-10-26,16.323334,16.813334,15.166667,15.263333,14.126447,27428100\n2001-10-29,15.316667,15.583333,14.006667,14.023334,12.978809,25119900\n2001-10-30,13.766666,14.646667,13.450000,14.000000,12.957211,28834500\n2001-10-31,14.523334,14.916667,14.083333,14.286667,13.222528,24732300\n2001-11-01,14.470000,15.623333,14.250000,15.506667,14.351655,27344400\n2001-11-02,15.436666,15.913333,14.866667,15.723333,14.552183,27181200\n2001-11-05,15.996667,16.433332,15.680000,15.780000,14.604630,23336400\n2001-11-06,15.750000,16.936666,15.666667,16.863333,15.607271,35384400\n2001-11-07,16.733334,17.526667,16.636667,16.876667,15.619611,35478600\n2001-11-08,17.086666,17.313334,16.083334,16.583334,15.348127,47879700\n2001-11-09,17.316668,17.746666,16.996666,17.733334,16.412470,56762100\n2001-11-12,17.666666,18.663334,17.126667,18.209999,16.853632,36465900\n2001-11-13,18.266666,18.270000,17.799999,18.059999,16.714800,36162900\n2001-11-14,18.193333,18.366667,17.066668,17.556667,16.248960,28755600\n2001-11-15,17.356667,17.889999,17.136667,17.650000,16.335339,21873600\n2001-11-16,17.666666,17.853333,17.260000,17.496666,16.193436,12403200\n2001-11-19,17.670000,17.833334,16.166666,17.113333,15.838648,48576300\n2001-11-20,17.196667,17.496666,16.443333,16.633333,15.394403,23447100\n2001-11-21,16.353333,16.856667,15.933333,16.420000,15.196957,18210300\n2001-11-23,16.483334,16.666666,16.200001,16.650000,15.409825,6350400\n2001-11-26,16.930000,17.863333,16.883333,17.840000,16.511189,30394500\n2001-11-27,17.830000,18.433332,17.500000,18.030001,16.687037,29599800\n2001-11-28,17.799999,18.096666,17.080000,17.120001,15.844821,18521100\n2001-11-29,18.363333,18.456667,17.799999,17.870001,16.538958,128386800\n2001-11-30,17.863333,18.343334,17.600000,18.213333,16.856716,25850700\n2001-12-03,17.830000,18.053333,17.616667,17.936666,16.600655,21287400\n2001-12-04,18.026667,19.400000,18.026667,19.379999,17.936481,34616100\n2001-12-05,19.533333,20.983334,19.516666,20.943333,19.383369,42675900\n2001-12-06,20.780001,20.833334,20.090000,20.613333,19.077955,28473600\n2001-12-07,20.459999,20.646667,19.626667,19.983334,18.494877,20175900\n2001-12-10,19.883333,20.639999,19.716667,20.183332,18.679981,17396700\n2001-12-11,20.536667,21.383333,20.333334,20.906666,19.349432,19806300\n2001-12-12,21.066668,21.566668,20.660000,21.556667,19.951023,25115700\n2001-12-13,21.133333,21.403334,20.853333,20.936666,19.377203,22035000\n2001-12-14,20.933332,21.983334,20.836666,21.879999,20.250271,18867000\n2001-12-17,21.713333,22.983334,21.713333,22.666666,20.978340,27024000\n2001-12-18,22.170000,22.483334,21.896667,22.083334,20.438459,22174200\n2001-12-19,21.719999,22.163334,21.396667,21.480000,19.880068,21366300\n2001-12-20,21.566668,21.956667,20.556667,20.633333,19.096462,23780700\n2001-12-21,21.083334,21.666666,20.840000,21.526667,19.923252,18099300\n2001-12-24,21.516666,22.173334,21.506666,22.063334,20.419950,6632700\n2001-12-26,22.173334,22.980000,22.170000,22.603333,20.919725,16053900\n2001-12-27,22.799999,23.230000,22.766666,23.126667,21.404083,18253800\n2001-12-28,23.263334,23.416666,22.346666,22.570000,20.888874,18942000\n2001-12-31,22.736666,22.866667,22.250000,22.299999,20.638985,18439500\n2002-01-02,22.396667,22.816668,21.833334,22.433332,20.762388,32472600\n2002-01-03,22.480000,24.000000,22.466667,23.903334,22.122898,35368800\n2002-01-04,24.219999,24.219999,22.799999,23.206667,21.478121,23407200\n2002-01-07,23.299999,23.333334,22.270000,22.583334,20.901218,24326700\n2002-01-08,22.536667,23.393333,22.459999,22.850000,21.148024,19359000\n2002-01-09,23.166666,23.583334,22.216667,22.536667,20.858028,28529700\n2002-01-10,22.416666,22.723333,21.799999,21.996666,20.358252,24812700\n2002-01-11,22.143333,22.150000,20.936666,21.023333,19.457413,34521300\n2002-01-14,20.976667,21.123333,19.920000,19.920000,18.436260,34239000\n2002-01-15,20.750000,21.793333,20.726667,21.780001,20.157722,45970200\n2002-01-16,21.483334,21.623333,20.850000,20.930000,19.371033,27884700\n2002-01-17,21.623333,21.666666,20.840000,21.663334,20.049744,28038600\n2002-01-18,20.846666,21.416666,20.833334,21.266666,19.682619,20091900\n2002-01-22,21.466667,21.523333,20.493334,20.733334,19.189013,27125700\n2002-01-23,20.920000,21.273333,20.506666,21.123333,19.549963,22229100\n2002-01-24,21.333334,22.100000,20.883333,21.879999,20.250271,28442100\n2002-01-25,21.566668,22.366667,21.299999,21.823334,20.197832,20443800\n2002-01-28,22.250000,22.666666,22.030001,22.663334,20.975264,23107200\n2002-01-29,22.716667,22.783333,21.200001,21.553333,19.947937,34548300\n2002-01-30,21.666666,21.830000,21.150000,21.813334,20.188572,30461400\n2002-01-31,22.096666,22.266666,21.183332,21.913334,20.281124,24349500\n2002-02-01,21.876667,22.110001,21.250000,21.376667,19.784428,17206800\n2002-02-04,21.330000,21.850000,20.336666,20.370001,18.852745,27621600\n2002-02-05,20.233334,20.410000,19.376667,20.170000,18.667641,36865500\n2002-02-06,20.703333,21.030001,20.299999,20.673334,19.133480,31063200\n2002-02-07,20.700001,20.700001,19.906666,20.003334,18.513390,24111900\n2002-02-08,20.136667,20.250000,18.476667,19.240000,17.806911,46782300\n2002-02-11,19.209999,20.333334,19.139999,20.303333,18.791044,31230600\n2002-02-12,19.996666,21.116667,19.766666,20.733334,19.189013,30412500\n2002-02-13,21.000000,21.353333,20.266666,20.466667,18.942211,30760800\n2002-02-14,20.639999,21.150000,20.379999,20.719999,19.176670,30642300\n2002-02-15,19.766666,19.883333,18.916666,19.116667,17.692762,99713700\n2002-02-19,18.299999,18.490000,17.703333,17.850000,16.520443,49313100\n2002-02-20,17.533333,18.983334,17.500000,18.783333,17.384262,45968400\n2002-02-21,18.526667,18.533333,17.476667,17.500000,16.196514,38276100\n2002-02-22,17.150000,17.350000,16.416666,16.639999,15.400569,64640400\n2002-02-25,16.716667,18.073334,16.713333,17.943333,16.606827,39989100\n2002-02-26,18.336666,18.650000,17.850000,18.333334,16.967775,47566800\n2002-02-27,18.750000,18.830000,17.666666,17.716667,16.397041,43080600\n2002-02-28,17.600000,17.916666,16.853333,17.003334,15.736845,39636000\n2002-03-01,17.166666,18.666666,17.116667,18.646667,17.257771,32784900\n2002-03-04,18.703333,19.900000,18.523333,19.686666,18.220312,37118100\n2002-03-05,19.383333,20.163334,19.366667,19.636667,18.174030,34486200\n2002-03-06,19.049999,19.243334,18.610001,19.020000,17.603296,36151500\n2002-03-07,19.290001,19.353333,18.340000,18.866667,17.461386,33663300\n2002-03-08,19.226667,19.830000,19.133333,19.430000,17.982759,31758900\n2002-03-11,19.216667,19.430000,18.883333,19.203333,17.772972,20263500\n2002-03-12,18.616667,18.716667,18.066668,18.196667,16.841291,31375800\n2002-03-13,18.026667,18.156666,17.799999,17.866667,16.535868,25790400\n2002-03-14,17.733334,17.733334,16.840000,16.876667,15.619611,28486500\n2002-03-15,16.996666,17.610001,16.673334,17.590000,16.279812,31207200\n2002-03-18,17.910000,18.296667,17.389999,17.590000,16.279812,30924900\n2002-03-19,17.716667,17.750000,17.113333,17.216667,15.934286,21151800\n2002-03-20,16.933332,16.966667,15.450000,15.506667,14.351655,57314700\n2002-03-21,15.770000,16.516666,15.353333,16.330000,15.113661,43042800\n2002-03-22,16.623333,16.623333,16.066668,16.190001,14.984091,31228500\n2002-03-25,16.113333,16.133333,15.333333,15.353333,14.209741,22104000\n2002-03-26,15.193334,16.056667,15.106667,15.666667,14.499737,28087800\n2002-03-27,15.426666,15.740000,14.900000,15.166667,14.036982,26700300\n2002-03-28,15.270000,15.366667,13.956667,14.786667,13.685285,78102000\n2002-04-01,13.966666,14.656667,13.520000,14.543333,13.460077,59133600\n2002-04-02,14.106667,14.896667,14.080000,14.163333,13.108379,35950200\n2002-04-03,14.226666,14.613334,13.933333,14.430000,13.355184,27366000\n2002-04-04,14.320000,14.850000,14.123333,14.360000,13.290398,28274100\n2002-04-05,14.453333,14.686666,13.886666,14.033334,12.988063,25672500\n2002-04-08,13.383333,14.503333,13.380000,14.503333,13.423056,28782900\n2002-04-09,14.646667,14.766666,13.553333,13.586667,12.574666,34519200\n2002-04-10,13.696667,13.800000,11.866667,12.836667,11.880532,92243100\n2002-04-11,12.733334,12.896667,12.133333,12.273334,11.359158,35932200\n2002-04-12,12.546667,12.646667,11.843333,12.226666,11.315964,34422000\n2002-04-15,12.463333,12.930000,12.433333,12.720000,11.772552,28930200\n2002-04-16,13.290000,13.426666,13.013333,13.273334,12.284669,21371400\n2002-04-17,13.430000,13.626667,13.010000,13.430000,12.429671,23612100\n2002-04-18,13.293333,13.436666,12.916667,13.206667,12.222973,17328900\n2002-04-19,12.760000,12.916667,12.290000,12.306666,11.390006,28141800\n2002-04-22,12.170000,12.616667,12.166667,12.366667,11.445538,20204400\n2002-04-23,12.463333,12.606667,11.756667,11.866667,10.982780,19337700\n2002-04-24,12.003333,12.180000,10.796667,10.826667,10.020245,39573900\n2002-04-25,10.783334,11.463333,10.780000,11.246667,10.408962,29207400\n2002-04-26,11.370000,11.383333,10.123333,10.123333,9.369297,29778000\n2002-04-29,11.320000,11.980000,10.940000,11.810000,10.930335,98271300\n2002-04-30,12.090000,12.250000,11.350000,11.603333,10.739060,44412600\n2002-05-01,11.413333,11.976666,11.116667,11.813334,10.933418,42972600\n2002-05-02,11.870000,12.163333,11.333333,11.336667,10.492259,28127100\n2002-05-03,11.350000,11.436666,10.860000,10.916667,10.103540,21318900\n2002-05-06,10.633333,11.133333,10.413333,10.500000,9.717910,27551100\n2002-05-07,10.733334,10.956667,10.236667,10.763333,9.961626,35311200\n2002-05-08,11.496667,12.186666,11.133333,12.000000,11.106183,42217200\n2002-05-09,11.963333,12.210000,11.466666,11.486667,10.631083,30771000\n2002-05-10,11.723333,11.766666,10.500000,10.626667,9.835141,33038700\n2002-05-13,10.736667,11.306666,10.646667,11.270000,10.430556,20022300\n2002-05-14,11.990000,12.516666,11.783334,12.390000,11.467134,38152800\n2002-05-15,12.200000,12.866667,12.030000,12.633333,11.692340,37613700\n2002-05-16,12.636666,12.916667,12.380000,12.656667,11.713936,24639000\n2002-05-17,13.000000,13.093333,12.676666,13.056666,12.084144,23360100\n2002-05-20,12.946667,13.283334,12.886666,13.196667,12.213715,23835300\n2002-05-21,13.366667,13.550000,12.176666,12.190000,11.282030,34565100\n2002-05-22,12.286667,12.756667,12.266666,12.683333,11.738618,38699700\n2002-05-23,12.720000,12.746667,11.533334,11.910000,11.022884,63919500\n2002-05-24,11.683333,11.743333,11.406667,11.676666,10.806932,18444600\n2002-05-28,11.780000,11.786667,10.980000,11.213333,10.378112,34177200\n2002-05-29,11.033334,11.683333,10.863334,11.636666,10.769912,32775300\n2002-05-30,11.400000,11.743333,11.176666,11.466666,10.612573,26652000\n2002-05-31,11.533334,11.583333,11.133333,11.153334,10.322577,16852800\n2002-06-03,10.883333,10.933333,10.363334,10.496667,9.714825,22531200\n2002-06-04,10.430000,11.083333,10.413333,11.026667,10.205348,27385800\n2002-06-05,11.050000,11.053333,10.483334,10.866667,10.057265,27857700\n2002-06-06,10.753333,11.016666,10.750000,10.870000,10.060352,18483900\n2002-06-07,9.986667,10.900000,9.983334,10.766666,9.964713,34282500\n2002-06-10,10.910000,11.213333,10.650000,10.676666,9.881415,18728700\n2002-06-11,10.853333,10.900000,10.170000,10.196667,9.437170,21482700\n2002-06-12,9.953333,10.133333,8.890000,9.316667,8.622714,56688600\n2002-06-13,9.386666,9.560000,8.926666,9.220000,8.533250,31647300\n2002-06-14,8.880000,9.463333,8.580000,9.393333,8.693673,27911100\n2002-06-17,9.603333,9.726666,9.313334,9.476666,8.770797,26353500\n2002-06-18,9.360000,9.700000,9.250000,9.426666,8.724523,25207500\n2002-06-19,8.966666,8.966666,7.880000,7.950000,7.357846,64840500\n2002-06-20,7.966667,8.183333,7.773334,7.876667,7.289974,35626200\n2002-06-21,7.836667,8.140000,7.393333,7.553333,6.990725,37109100\n2002-06-24,7.360000,7.930000,7.133333,7.693333,7.120296,34489800\n2002-06-25,7.833333,7.833333,7.010000,7.056667,6.531053,29305800\n2002-06-26,6.256667,6.926667,6.083333,6.690000,6.191697,51695700\n2002-06-27,6.936666,6.990000,5.600000,5.693333,5.269266,79570200\n2002-06-28,5.600000,5.963333,5.476666,5.726666,5.300117,49779600\n2002-07-01,5.700000,5.866667,5.593333,5.713333,5.287776,29109300\n2002-07-02,5.646667,5.666667,5.206666,5.353333,4.954590,34204500\n2002-07-03,5.320000,5.826667,5.316667,5.816667,5.383414,26832600\n2002-07-05,6.233333,6.333333,6.053333,6.330000,5.858512,18488100\n2002-07-08,6.256667,6.746666,6.250000,6.520000,6.034359,39679500\n2002-07-09,6.536667,6.620000,6.060000,6.200000,5.738194,26877000\n2002-07-10,6.350000,6.400000,5.986667,6.030000,5.580856,23174700\n2002-07-11,5.996666,6.666667,5.943333,6.643333,6.148506,28598700\n2002-07-12,7.000000,7.026667,6.500000,6.636667,6.142334,33622500\n2002-07-15,6.653333,7.300000,6.353333,7.296667,6.753175,37381800\n2002-07-16,7.116667,7.783333,6.983333,7.100000,6.571157,44335800\n2002-07-17,6.946667,7.083333,6.220000,6.496666,6.012763,48059100\n2002-07-18,6.390000,6.766667,6.313334,6.330000,5.858512,31079700\n2002-07-19,6.136667,6.380000,6.000000,6.043334,5.593197,21144300\n2002-07-22,6.016667,6.186666,5.516667,5.763333,5.334052,32268600\n2002-07-23,5.796667,5.833333,5.136667,5.333333,4.936082,35241300\n2002-07-24,5.260000,5.760000,5.256667,5.673333,5.250755,29377500\n2002-07-25,5.453333,5.470000,4.836667,5.020000,4.646086,44911200\n2002-07-26,5.166667,5.286667,4.766667,4.903333,4.538109,30547500\n2002-07-29,5.106667,5.133333,4.876667,5.040000,4.664597,30693000\n2002-07-30,5.016667,5.660000,5.000000,5.406667,5.003953,45450300\n2002-07-31,3.940000,4.020000,3.646667,3.690000,3.415151,120928500\n2002-08-01,3.720000,3.720000,3.333333,3.336667,3.088135,43142700\n2002-08-02,3.443333,3.466667,3.033333,3.116667,2.884522,44881500\n2002-08-05,3.070000,3.076667,2.830000,2.866667,2.653143,33267900\n2002-08-06,3.000000,3.130000,2.953333,3.016667,2.791971,29220000\n2002-08-07,3.150000,3.180000,2.833333,2.946667,2.727185,22324500\n2002-08-08,2.976667,3.193333,2.900000,3.140000,2.906118,18885600\n2002-08-09,3.056667,3.166667,3.003333,3.066667,2.838246,14532600\n2002-08-12,3.033333,3.183333,2.953333,3.066667,2.838246,14820000\n2002-08-13,3.086667,3.236667,3.000000,3.003333,2.779630,16360500\n2002-08-14,3.060000,3.233333,3.033333,3.206667,2.967819,15817200\n2002-08-15,3.326667,3.496667,3.293333,3.430000,3.174517,28503000\n2002-08-16,3.246667,3.683333,3.146667,3.563333,3.297919,41435700\n2002-08-19,3.716667,4.483333,3.710000,4.216667,3.902589,56098200\n2002-08-20,4.250000,4.333333,3.976667,4.030000,3.729826,35737200\n2002-08-21,4.213333,4.296667,4.016667,4.243333,3.927269,29871900\n2002-08-22,4.116667,4.283333,4.073333,4.100000,3.794612,33962400\n2002-08-23,3.983333,4.010000,3.806667,3.830000,3.544724,22998300\n2002-08-26,3.903333,3.930000,3.680000,3.860000,3.572488,17464200\n2002-08-27,3.926667,3.946667,3.616667,3.640000,3.368876,17167800\n2002-08-28,3.620000,3.626667,3.400000,3.413333,3.159091,17508900\n2002-08-29,3.370000,3.613333,3.343333,3.456667,3.199198,20388000\n2002-08-30,3.423333,3.566667,3.300000,3.366667,3.115901,26647200\n2002-09-03,3.206667,3.223333,3.106667,3.160000,2.924628,21182100\n2002-09-04,3.170000,3.253333,3.003333,3.140000,2.906118,23263800\n2002-09-05,3.110000,3.123333,3.000000,3.020000,2.795055,17857800\n2002-09-06,3.146667,3.173333,3.040000,3.086667,2.856757,18661500\n2002-09-09,3.063333,3.180000,2.970000,3.083333,2.853672,14451000\n2002-09-10,3.066667,3.683333,3.063333,3.523333,3.260899,57940800\n2002-09-11,3.633333,3.966667,3.633333,3.696667,3.421321,41438400\n2002-09-12,3.606667,3.803333,3.540000,3.580000,3.313344,32373300\n2002-09-13,3.543333,3.713333,3.500000,3.523333,3.260899,19921800\n2002-09-16,3.470000,3.483333,3.216667,3.300000,3.054200,23136600\n2002-09-17,3.446667,3.530000,3.230000,3.250000,3.007924,22101300\n2002-09-18,3.200000,3.263333,3.063333,3.160000,2.924628,20292300\n2002-09-19,3.090000,3.200000,3.036667,3.053333,2.825907,15462300\n2002-09-20,3.076667,3.140000,3.003333,3.070000,2.841331,17182800\n2002-09-23,3.020000,3.050000,2.916667,2.936667,2.717930,13041900\n2002-09-24,2.903333,3.100000,2.850000,2.960000,2.739525,15611100\n2002-09-25,3.133333,3.183333,3.010000,3.123333,2.890692,22415400\n2002-09-26,3.183333,3.216667,2.910000,2.956667,2.736439,18489000\n2002-09-27,2.950000,3.026667,2.850000,2.853333,2.640803,16267200\n2002-09-30,2.843333,2.976667,2.783333,2.853333,2.640803,14603100\n2002-10-01,2.876667,3.033333,2.773333,3.006667,2.782716,22209000\n2002-10-02,3.030000,3.183333,3.003333,3.003333,2.779630,18727500\n2002-10-03,2.966667,3.016667,2.850000,2.856667,2.643888,14764200\n2002-10-04,2.850000,2.940000,2.666667,2.713333,2.511231,13244700\n2002-10-07,2.676667,2.730000,2.560000,2.580000,2.387829,12326700\n2002-10-08,2.666667,2.673333,2.400000,2.503333,2.316873,17856300\n2002-10-09,2.466667,2.626667,2.413333,2.456667,2.273682,14328300\n2002-10-10,2.433333,2.663333,2.433333,2.583333,2.390915,13450800\n2002-10-11,2.683333,2.983333,2.666667,2.936667,2.717930,24853500\n2002-10-14,2.850000,2.936667,2.790000,2.850000,2.637718,15287100\n2002-10-15,3.166667,3.280000,3.103333,3.146667,2.912287,21319200\n2002-10-16,2.933333,2.960000,2.833333,2.883333,2.668568,14453100\n2002-10-17,3.133333,3.250000,3.056667,3.103333,2.872182,14644800\n2002-10-18,3.086667,3.166667,2.970000,3.133333,2.899947,12459300\n2002-10-21,3.090000,3.530000,3.020000,3.416667,3.162177,23265600\n2002-10-22,3.260000,3.733333,3.256667,3.530000,3.267068,31804200\n2002-10-23,3.583333,3.723333,3.533333,3.673333,3.399726,23135700\n2002-10-24,3.746667,3.786667,3.433333,3.486667,3.226963,26379300\n2002-10-25,3.500000,3.716667,3.453333,3.700000,3.424406,18648900\n2002-10-28,3.870000,3.900000,3.696667,3.720000,3.442916,26763600\n2002-10-29,3.726667,3.753333,3.370000,3.556667,3.291749,19318200\n2002-10-30,3.670000,3.866667,3.656667,3.746667,3.467597,28487400\n2002-10-31,3.773333,3.993333,3.763333,3.966667,3.671210,31386900\n2002-11-01,3.906667,4.756667,3.900000,4.700000,4.349922,53220900\n2002-11-04,4.983333,5.503334,4.970000,5.213333,4.825018,67203300\n2002-11-05,5.200000,5.286667,4.783333,5.006667,4.633745,50863500\n2002-11-06,5.176667,5.400000,4.973333,5.393333,4.991611,41150400\n2002-11-07,5.253334,5.253334,4.820000,4.850000,4.488749,41514000\n2002-11-08,4.100000,4.343333,3.670000,3.786667,3.504618,94972500\n2002-11-11,3.606667,3.660000,3.406667,3.493333,3.233133,34461300\n2002-11-12,3.576667,3.933333,3.546667,3.803333,3.520042,34529700\n2002-11-13,3.713333,4.033333,3.640000,3.923333,3.631104,45052800\n2002-11-14,4.183333,4.263333,4.056667,4.183333,3.871738,28468200\n2002-11-15,4.400000,4.636667,4.350000,4.490000,4.155563,51358200\n2002-11-18,4.850000,4.866667,4.643333,4.656667,4.309816,49561800\n2002-11-19,4.630000,4.960000,4.580000,4.723333,4.371515,49298700\n2002-11-20,4.866667,5.000000,4.803333,4.960000,4.590555,32319900\n2002-11-21,5.160000,5.626667,5.150000,5.380000,4.979271,51348000\n2002-11-22,5.053333,5.346667,5.000000,5.240000,4.849699,31297500\n2002-11-25,5.483333,5.563334,5.270000,5.430000,5.025548,30752100\n2002-11-26,5.456666,5.563334,5.266667,5.283333,4.889805,27108300\n2002-11-27,5.506667,5.786667,5.436666,5.693333,5.269266,27213900\n2002-11-29,5.843333,5.926667,5.666667,5.710000,5.284691,12984900\n2002-12-02,6.013333,6.090000,5.640000,5.666667,5.244585,29187600\n2002-12-03,5.560000,5.573333,5.283333,5.293334,4.899061,26155500\n2002-12-04,4.920000,5.000000,4.643333,4.660000,4.312899,55163700\n2002-12-05,4.960000,4.993333,4.590000,4.703333,4.353006,39871800\n2002-12-06,4.500000,4.800000,4.426667,4.710000,4.359177,28980600\n2002-12-09,4.556667,4.630000,4.296667,4.333333,4.010565,24244800\n2002-12-10,4.443333,4.783333,4.386667,4.696667,4.346837,34747200\n2002-12-11,4.663333,4.800000,4.506667,4.670000,4.322156,34105200\n2002-12-12,4.843333,4.900000,4.583333,4.593333,4.251200,32563800\n2002-12-13,4.510000,4.510000,4.380000,4.413333,4.084607,17693100\n2002-12-16,4.566667,4.700000,4.450000,4.673333,4.325241,26424300\n2002-12-17,4.756667,4.916667,4.630000,4.666667,4.319069,26943600\n2002-12-18,4.520000,4.526667,4.300000,4.310000,3.988971,28170900\n2002-12-19,4.233333,4.456666,4.173333,4.216667,3.902589,27515100\n2002-12-20,4.350000,4.396667,4.063334,4.273334,3.955034,20114400\n2002-12-23,4.263333,4.406667,4.250000,4.303333,3.982800,12466200\n2002-12-24,4.326667,4.413333,4.193333,4.216667,3.902589,7508400\n2002-12-26,4.286667,4.350000,4.103333,4.140000,3.831633,17994000\n2002-12-27,4.253334,4.263333,3.946667,3.983333,3.686635,17563200\n2002-12-30,4.000000,4.043334,3.753333,3.843333,3.557063,19618500\n2002-12-31,3.803333,3.933333,3.730000,3.836667,3.550893,20634900\n2003-01-02,4.000000,4.150000,3.863333,4.103333,3.797697,32563500\n2003-01-03,4.116667,4.250000,4.033333,4.103333,3.797697,25937400\n2003-01-06,4.203333,4.503334,4.200000,4.436666,4.106203,25835700\n2003-01-07,4.523334,4.626667,4.373333,4.423333,4.093863,37456800\n2003-01-08,4.310000,4.436666,3.953333,3.983333,3.686635,46313100\n2003-01-09,4.106667,4.150000,4.013333,4.053333,3.751420,35901900\n2003-01-10,4.000000,4.183333,3.946667,4.123333,3.816208,23112300\n2003-01-13,4.280000,4.316667,4.070000,4.090000,3.785357,21228000\n2003-01-14,4.103333,4.160000,3.996667,4.120000,3.813123,21713100\n2003-01-15,4.123333,4.156667,3.993333,3.993333,3.695891,22614600\n2003-01-16,3.933333,3.983333,3.670000,3.723333,3.446002,50999400\n2003-01-17,3.623333,3.673333,3.536667,3.583333,3.316429,26470800\n2003-01-21,3.650000,3.726667,3.483333,3.493333,3.233133,24183900\n2003-01-22,3.483333,3.586667,3.473333,3.496667,3.236218,13774800\n2003-01-23,3.590000,3.650000,3.496667,3.593333,3.325685,22961400\n2003-01-24,3.563333,3.580000,3.330000,3.390000,3.137496,22427700\n2003-01-27,3.316667,3.490000,3.256667,3.340000,3.091220,22227900\n2003-01-28,3.296667,3.523333,3.186667,3.460000,3.202282,44637000\n2003-01-29,3.366667,3.556667,3.366667,3.530000,3.267068,25551000\n2003-01-30,3.600000,3.630000,3.350000,3.386667,3.134412,18576600\n2003-01-31,3.286667,3.533333,3.256667,3.440000,3.183773,23741400\n2003-02-03,3.503333,3.573333,3.433333,3.506667,3.245473,18888900\n2003-02-04,3.483333,3.500000,3.300000,3.350000,3.100476,15693000\n2003-02-05,3.423333,3.516667,3.366667,3.380000,3.128241,14537700\n2003-02-06,3.613333,3.620000,3.350000,3.406667,3.152921,30654600\n2003-02-07,3.473333,3.490000,3.246667,3.253333,3.011009,22878900\n2003-02-10,3.250000,3.316667,3.110000,3.293333,3.048030,24565800\n2003-02-11,3.320000,3.416667,3.216667,3.233333,2.992499,21267900\n2003-02-12,3.233333,3.370000,3.206667,3.250000,3.007924,16035000\n2003-02-13,3.306667,3.323333,3.216667,3.290000,3.044945,22229100\n2003-02-14,3.740000,4.016667,3.650000,4.013333,3.714401,88721100\n2003-02-18,4.166667,4.323333,4.116667,4.243333,3.927269,43512900\n2003-02-19,4.216667,4.310000,4.170000,4.283333,3.964290,28530300\n2003-02-20,4.300000,4.413333,4.266667,4.283333,3.964290,24453300\n2003-02-21,4.280000,4.296667,4.133333,4.286667,3.967376,22831500\n2003-02-24,4.250000,4.496666,4.226666,4.340000,4.016736,28425300\n2003-02-25,4.200000,4.333333,4.133333,4.313334,3.992056,30980100\n2003-02-26,4.256667,4.326667,4.093333,4.103333,3.797697,18672300\n2003-02-27,4.143333,4.210000,4.076667,4.190000,3.877908,16882800\n2003-02-28,4.060000,4.216667,3.940000,4.206666,3.893335,41333400\n2003-03-03,4.256667,4.333333,4.083333,4.136667,3.828548,17550900\n2003-03-04,4.150000,4.190000,4.063334,4.103333,3.797697,13459800\n2003-03-05,4.063334,4.193333,4.053333,4.170000,3.859399,13053900\n2003-03-06,4.136667,4.176667,4.083333,4.100000,3.794612,13701600\n2003-03-07,4.036667,4.176667,4.000000,4.163333,3.853228,14528700\n2003-03-10,4.120000,4.140000,4.040000,4.046667,3.745251,8619900\n2003-03-11,4.076667,4.143333,4.030000,4.076667,3.773017,10428600\n2003-03-12,4.110000,4.200000,4.073333,4.190000,3.877908,12348000\n2003-03-13,4.313334,4.633333,4.293334,4.606667,4.263539,34068300\n2003-03-14,4.623333,4.666667,4.440000,4.473333,4.140139,27355500\n2003-03-17,4.400000,4.823333,4.390000,4.733333,4.380772,32695200\n2003-03-18,4.716667,4.770000,4.600000,4.696667,4.346837,23307000\n2003-03-19,4.706666,4.753334,4.553333,4.720000,4.368432,17824800\n2003-03-20,4.720000,4.863333,4.596667,4.763333,4.408537,19501500\n2003-03-21,4.926667,4.943333,4.506667,4.720000,4.368432,42045000\n2003-03-24,4.526667,4.666667,4.500000,4.543334,4.204923,20975400\n2003-03-25,4.556667,4.743333,4.540000,4.673333,4.325241,16820700\n2003-03-26,4.776667,4.883333,4.740000,4.803333,4.445557,27696000\n2003-03-27,4.740000,4.840000,4.653333,4.666667,4.319069,34818300\n2003-03-28,4.666667,4.683333,4.403333,4.476666,4.143223,32267100\n2003-03-31,4.340000,4.393333,4.273334,4.293334,3.973545,17012700\n2003-04-01,4.383333,4.466667,4.286667,4.420000,4.090778,13345200\n2003-04-02,4.570000,4.660000,4.510000,4.583333,4.241944,19297500\n2003-04-03,4.666667,4.666667,4.546667,4.643333,4.297476,17569500\n2003-04-04,4.656667,4.663333,4.443333,4.463333,4.130882,12846000\n2003-04-07,4.763333,4.800000,4.466667,4.510000,4.174074,16781400\n2003-04-08,4.550000,4.573333,4.436666,4.466667,4.133967,11875800\n2003-04-09,4.483333,4.603333,4.436666,4.443333,4.112372,17356500\n2003-04-10,4.503334,4.510000,4.423333,4.466667,4.133967,9102600\n2003-04-11,4.516667,4.553333,4.373333,4.416667,4.087693,9354600\n2003-04-14,4.350000,4.506667,4.336667,4.493333,4.158648,11144400\n2003-04-15,4.463333,4.526667,4.353333,4.470000,4.137052,12255300\n2003-04-16,4.573333,4.583333,4.433333,4.470000,4.137052,16799700\n2003-04-17,4.503334,4.560000,4.410000,4.550000,4.211094,13018500\n2003-04-21,4.556667,4.680000,4.513333,4.666667,4.319069,14928600\n2003-04-22,4.643333,4.730000,4.566667,4.726666,4.374602,19684800\n2003-04-23,4.720000,4.863333,4.683333,4.833333,4.473323,15155100\n2003-04-24,4.836667,4.836667,4.626667,4.690000,4.340666,16522800\n2003-04-25,4.663333,4.743333,4.473333,4.516667,4.180245,22116300\n2003-04-28,4.570000,4.736667,4.516667,4.653333,4.306731,16874700\n2003-04-29,4.760000,4.863333,4.723333,4.796667,4.439387,16758600\n2003-04-30,4.770000,4.900000,4.750000,4.776667,4.420877,11665500\n2003-05-01,4.743333,4.853333,4.716667,4.806667,4.448643,18334200\n2003-05-02,4.870000,5.333333,4.843333,5.300000,4.905230,42277200\n2003-05-05,5.350000,5.680000,5.253334,5.430000,5.025548,39404100\n2003-05-06,5.403333,5.576667,5.350000,5.436666,5.031717,28596600\n2003-05-07,5.356667,5.483333,5.256667,5.350000,4.951506,22434300\n2003-05-08,5.283333,5.566667,5.216667,5.353333,4.954590,48936300\n2003-05-09,6.276667,7.176667,6.100000,7.123333,6.592753,230771400\n2003-05-12,7.140000,7.300000,6.866667,6.923333,6.407650,75196500\n2003-05-13,6.686666,6.900000,6.646667,6.793334,6.287333,45602700\n2003-05-14,6.816667,6.900000,6.700000,6.786667,6.281164,24139500\n2003-05-15,6.886667,7.033333,6.850000,7.020000,6.497116,27641400\n2003-05-16,6.933333,7.210000,6.923333,7.086667,6.558818,25722900\n2003-05-19,6.993333,7.060000,6.603333,6.686666,6.188612,30512100\n2003-05-20,6.696667,6.783333,6.666667,6.733333,6.231802,22103100\n2003-05-21,6.736667,6.973333,6.700000,6.970000,6.450840,22636800\n2003-05-22,6.980000,7.056667,6.816667,6.993333,6.472435,22220400\n2003-05-23,7.000000,7.133333,6.926667,6.956666,6.438500,21690300\n2003-05-27,6.883333,7.600000,6.750000,7.573333,7.009235,41935200\n2003-05-28,7.550000,7.633333,7.366667,7.553333,6.990725,30888900\n2003-05-29,7.550000,8.326667,7.533333,8.070000,7.468907,57443400\n2003-05-30,8.833333,8.876667,8.616667,8.723333,8.073578,53557800\n2003-06-02,8.950000,8.960000,8.186666,8.240000,7.626245,39153600\n2003-06-03,8.146667,8.660000,8.046667,8.410000,7.783581,39920100\n2003-06-04,8.383333,8.616667,8.253333,8.610000,7.968687,29390100\n2003-06-05,8.496667,8.886666,8.383333,8.856667,8.196979,30110100\n2003-06-06,9.203333,9.250000,8.520000,8.586667,7.947089,34470900\n2003-06-09,8.533334,8.753333,8.353333,8.483334,7.851453,18014700\n2003-06-10,8.483334,8.613334,8.390000,8.606667,7.965600,14082600\n2003-06-11,8.553333,8.690000,8.400000,8.613334,7.971773,23595900\n2003-06-12,8.673333,8.766666,8.456667,8.483334,7.851453,26167200\n2003-06-13,8.116667,8.350000,7.766667,7.823333,7.240614,45670200\n2003-06-16,7.916667,8.090000,7.393333,7.990000,7.394866,47621700\n2003-06-17,8.173333,8.233334,7.933333,8.180000,7.570715,24996300\n2003-06-18,8.100000,8.656667,8.033334,8.493333,7.860709,28051800\n2003-06-19,8.530000,8.573334,7.933333,7.976666,7.382526,29763300\n2003-06-20,8.063334,8.066667,7.766667,7.893333,7.305400,23446200\n2003-06-23,7.886667,7.926667,7.456666,7.613333,7.046255,18369600\n2003-06-24,7.566667,7.733333,7.353333,7.596667,7.030830,25220400\n2003-06-25,7.616667,7.926667,7.586667,7.646667,7.077106,26515500\n2003-06-26,7.670000,7.760000,7.430000,7.656667,7.086362,24013500\n2003-06-27,7.746666,7.816667,7.483333,7.520000,6.959876,17727600\n2003-06-30,7.620000,7.770000,7.533333,7.636667,7.067852,13603200\n2003-07-01,7.540000,7.960000,7.470000,7.950000,7.357846,24425400\n2003-07-02,8.023334,8.126667,7.816667,7.926667,7.336250,21170700\n2003-07-03,7.743333,8.040000,7.726666,7.836667,7.252954,10522800\n2003-07-07,7.943333,8.393333,7.940000,8.350000,7.728051,20805000\n2003-07-08,8.120000,8.366667,8.100000,8.256667,7.641670,15071400\n2003-07-09,8.253333,8.583333,8.240000,8.446667,7.817518,18883800\n2003-07-10,8.183333,8.290000,7.956666,8.100000,7.496672,16114200\n2003-07-11,8.196667,8.246667,8.073334,8.143333,7.536778,12375000\n2003-07-14,8.350000,8.400000,8.040000,8.080000,7.478162,17358600\n2003-07-15,8.200000,8.236667,7.740000,7.816667,7.234443,28586400\n2003-07-16,7.963333,8.000000,7.533333,7.720000,7.144977,22011900\n2003-07-17,7.486667,7.583333,7.233333,7.333333,6.787111,21344100\n2003-07-18,7.190000,7.213333,6.823333,7.086667,6.558818,32020800\n2003-07-21,7.126667,7.150000,6.813334,6.980000,6.460096,24628500\n2003-07-22,7.176667,7.230000,7.056667,7.096667,6.568073,14561100\n2003-07-23,7.090000,7.233333,6.876667,7.190000,6.654455,15133200\n2003-07-24,7.320000,7.373333,6.850000,6.910000,6.395310,27920700\n2003-07-25,6.923333,7.060000,6.666667,7.020000,6.497116,25052100\n2003-07-28,7.076667,7.093333,6.773334,6.803333,6.296588,17593800\n2003-07-29,6.186666,6.720000,6.120000,6.356667,5.883191,69869700\n2003-07-30,6.333333,6.406667,6.246666,6.286667,5.818405,19718100\n2003-07-31,6.433333,6.526667,6.296667,6.363333,5.889361,22440000\n2003-08-01,6.366667,6.626667,6.303333,6.573333,6.083719,19188900\n2003-08-04,6.566667,6.940000,6.526667,6.820000,6.312014,35721300\n2003-08-05,6.996666,7.156667,6.743333,6.800000,6.293503,26587200\n2003-08-06,6.710000,6.800000,6.360000,6.523334,6.037443,25646700\n2003-08-07,6.506667,6.600000,6.346667,6.433333,5.954146,26008500\n2003-08-08,5.516667,5.540000,5.086667,5.166667,4.781829,94189500\n2003-08-11,5.250000,5.516667,5.216667,5.446667,5.040973,41893800\n2003-08-12,5.516667,5.570000,5.426667,5.556667,5.142780,19104000\n2003-08-13,5.580000,5.683333,5.440000,5.593333,5.176715,17338800\n2003-08-14,5.406667,5.486667,5.340000,5.400000,4.997781,38192400\n2003-08-15,5.366667,5.416667,5.333333,5.383333,4.982357,5442900\n2003-08-18,5.470000,5.543334,5.373333,5.543334,5.130439,17942100\n2003-08-19,5.666667,6.000000,5.663333,5.966667,5.522241,35099400\n2003-08-20,5.883333,5.993333,5.753334,5.883333,5.445114,21758700\n2003-08-21,6.026667,6.100000,5.933333,6.043334,5.593197,16118700\n2003-08-22,6.406667,6.493333,6.083333,6.086667,5.633301,25059900\n2003-08-25,6.203333,6.203333,6.000000,6.053333,5.602452,10850700\n2003-08-26,5.976666,6.066667,5.793334,5.956666,5.512984,19224600\n2003-08-27,5.996666,6.200000,5.933333,6.136667,5.679579,14195400\n2003-08-28,6.196667,6.230000,5.906667,5.976666,5.531495,20707800\n2003-08-29,5.966667,6.083333,5.943333,6.056667,5.605537,13322100\n2003-09-02,6.163333,6.216667,5.973333,6.003334,5.556176,17786400\n2003-09-03,6.093333,6.110000,5.856667,5.886667,5.448199,21249300\n2003-09-04,5.910000,6.083333,5.866667,5.943333,5.500645,18501600\n2003-09-05,5.953333,6.366667,5.883333,6.226666,5.762874,29968500\n2003-09-08,6.326667,6.586667,6.250000,6.513333,6.028189,37717800\n2003-09-09,6.333333,7.156667,6.246666,6.913333,6.398396,62235900\n2003-09-10,6.716667,6.896667,6.386667,6.440000,5.960318,34515600\n2003-09-11,6.526667,6.716667,6.100000,6.356667,5.883191,65318400\n2003-09-12,6.303333,6.590000,6.233333,6.450000,5.969573,29060100\n2003-09-15,6.503334,6.536667,6.320000,6.343333,5.870850,14900700\n2003-09-16,6.356667,6.560000,6.356667,6.540000,6.052870,15518400\n2003-09-17,6.580000,6.743333,6.526667,6.616667,6.123825,22569600\n2003-09-18,6.580000,6.670000,6.506667,6.666667,6.170101,15087300\n2003-09-19,6.743333,6.786667,6.553333,6.613333,6.120740,16202400\n2003-09-22,6.483333,6.496666,6.300000,6.353333,5.880108,18387600\n2003-09-23,6.363333,6.450000,6.280000,6.413333,5.935638,15723300\n2003-09-24,6.276667,6.333333,5.916667,5.926667,5.485220,40016700\n2003-09-25,5.973333,6.080000,5.816667,5.843333,5.408092,18419400\n2003-09-26,5.826667,5.843333,5.543334,5.620000,5.201395,22397700\n2003-09-29,5.336667,5.526667,5.233333,5.316667,4.920655,48624900\n2003-09-30,5.270000,5.503334,5.250000,5.323333,4.926826,25522200\n2003-10-01,5.333333,5.430000,5.320000,5.366667,4.966932,21930600\n2003-10-02,5.333333,5.526667,5.316667,5.450000,5.044057,21440700\n2003-10-03,5.600000,5.733333,5.503334,5.593333,5.176715,21570300\n2003-10-06,5.603333,5.660000,5.503334,5.550000,5.136609,9425700\n2003-10-07,5.550000,5.600000,5.473333,5.600000,5.182886,12764700\n2003-10-08,5.600000,5.650000,5.370000,5.403333,5.000866,18486000\n2003-10-09,5.483333,5.693333,5.436666,5.480000,5.071824,21310200\n2003-10-10,5.566667,5.616667,5.500000,5.576667,5.161289,10349400\n2003-10-13,5.640000,5.750000,5.596667,5.633333,5.213736,10872600\n2003-10-14,5.573333,5.753334,5.540000,5.736667,5.309373,15588900\n2003-10-15,5.803333,5.910000,5.626667,5.663333,5.241501,17587200\n2003-10-16,5.670000,5.753334,5.583333,5.733333,5.306286,11152200\n2003-10-17,5.700000,5.810000,5.546667,5.553333,5.139693,11492400\n2003-10-20,5.556667,5.683333,5.523334,5.676667,5.253840,11684700\n2003-10-21,5.780000,5.960000,5.700000,5.850000,5.414263,18968100\n2003-10-22,5.760000,5.893333,5.720000,5.750000,5.321712,15523800\n2003-10-23,5.666667,5.833333,5.656667,5.723333,5.297032,11288100\n2003-10-24,5.666667,5.753334,5.613333,5.703333,5.278522,11177100\n2003-10-27,5.733333,5.800000,5.693333,5.733333,5.306286,6361500\n2003-10-28,5.810000,6.126667,5.783333,6.093333,5.639472,23901600\n2003-10-29,5.913333,6.166667,5.910000,6.093333,5.639472,12350100\n2003-10-30,6.250000,6.253334,5.970000,5.980000,5.534581,14531400\n2003-10-31,6.033333,6.083333,5.800000,5.893333,5.454369,14953800\n2003-11-03,5.863333,6.116667,5.836667,6.003334,5.556176,19343100\n2003-11-04,6.133333,6.150000,5.983333,6.023334,5.574686,17522400\n2003-11-05,5.900000,6.106667,5.803333,6.046667,5.596282,22050600\n2003-11-06,6.136667,6.166667,5.946667,6.056667,5.605537,29382000\n2003-11-07,7.220000,7.353333,7.066667,7.250000,6.709986,107320500\n2003-11-10,7.273334,7.373333,7.186666,7.230000,6.691474,30251400\n2003-11-11,7.066667,7.190000,6.923333,7.050000,6.524881,19978500\n2003-11-12,7.026667,7.166667,6.993333,7.143333,6.611264,15441600\n2003-11-13,7.143333,7.246666,7.103333,7.146667,6.614349,14508300\n2003-11-14,7.166667,7.166667,6.703333,6.723333,6.222547,22210500\n2003-11-17,6.596667,6.733333,6.533333,6.653333,6.157760,14997000\n2003-11-18,6.816667,6.900000,6.533333,6.556667,6.068294,24785700\n2003-11-19,6.603333,6.766667,6.580000,6.740000,6.237972,14188800\n2003-11-20,6.633333,6.780000,6.533333,6.560000,6.071380,18471300\n2003-11-21,6.640000,6.650000,6.460000,6.586667,6.096060,13581000\n2003-11-24,6.650000,7.000000,6.603333,6.983333,6.463180,23516100\n2003-11-25,7.013333,7.163333,6.933333,7.103333,6.574244,20570100\n2003-11-26,7.220000,7.243333,6.976666,7.110000,6.580413,10750800\n2003-11-28,7.106667,7.126667,7.016667,7.076667,6.549562,5153400\n2003-12-01,7.156667,7.230000,7.073333,7.176667,6.642114,13174500\n2003-12-02,7.133333,7.293334,7.103333,7.146667,6.614349,14368500\n2003-12-03,7.166667,7.400000,7.056667,7.073333,6.546477,17750700\n2003-12-04,7.096667,7.223333,6.870000,7.036667,6.512541,13048800\n2003-12-05,6.870000,7.066667,6.753334,6.810000,6.302759,13996200\n2003-12-08,6.810000,6.930000,6.750000,6.860000,6.349034,8524500\n2003-12-09,6.846667,6.913333,6.500000,6.503334,6.018934,14953200\n2003-12-10,6.503334,6.683333,6.500000,6.646667,6.151590,14216400\n2003-12-11,6.643333,7.066667,6.630000,6.983333,6.463180,17371800\n2003-12-12,7.076667,7.123333,6.833333,6.946667,6.429245,17517300\n2003-12-15,7.150000,7.160000,6.786667,6.806667,6.299674,15568800\n2003-12-16,6.766667,6.943333,6.646667,6.900000,6.386054,15043200\n2003-12-17,6.843333,6.866667,6.653333,6.766667,6.262654,12477900\n2003-12-18,6.780000,6.990000,6.773334,6.920000,6.404565,10918200\n2003-12-19,7.093333,7.200000,6.946667,7.023334,6.500201,22923900\n2003-12-22,6.920000,7.050000,6.850000,7.033333,6.509456,9279600\n2003-12-23,7.006667,7.390000,7.003334,7.320000,6.774771,18069000\n2003-12-24,7.316667,7.340000,7.246666,7.266667,6.725410,5271300\n2003-12-26,7.323333,7.623333,7.293334,7.580000,7.015405,9099000\n2003-12-29,7.723333,7.926667,7.686666,7.900000,7.311569,18915600\n2003-12-30,7.816667,8.066667,7.810000,7.916667,7.326994,13772100\n2003-12-31,7.913333,7.950000,7.606667,7.733333,7.157317,12431700\n2004-01-02,7.856667,7.963333,7.693333,7.693333,7.120296,10910400\n2004-01-05,7.810000,7.996666,7.740000,7.943333,7.351676,14382300\n2004-01-06,7.920000,8.376667,7.883333,8.266666,7.650925,27333600\n2004-01-07,8.173333,8.380000,8.116667,8.340000,7.718798,16825800\n2004-01-08,8.443334,8.483334,8.290000,8.370000,7.746562,10843800\n2004-01-09,8.313334,8.593333,8.246667,8.490000,7.857621,19164600\n2004-01-12,8.520000,8.613334,8.440000,8.586667,7.947089,13549500\n2004-01-13,8.543333,8.626667,8.053333,8.143333,7.536778,21645000\n2004-01-14,8.183333,8.300000,8.006667,8.083333,7.481248,13621800\n2004-01-15,8.023334,8.163333,7.880000,8.096666,7.493587,15230100\n2004-01-16,8.180000,8.290000,8.103333,8.220000,7.607735,11293200\n2004-01-20,8.320000,8.463333,8.226666,8.450000,7.820603,12194100\n2004-01-21,8.380000,8.413333,8.046667,8.060000,7.459653,12361500\n2004-01-22,8.103333,8.233334,7.776667,7.873333,7.286890,15143100\n2004-01-23,7.833333,7.990000,7.680000,7.696667,7.123382,12061800\n2004-01-26,7.746666,8.033334,7.686666,8.000000,7.404121,9842100\n2004-01-27,7.840000,7.966667,7.483333,7.543334,6.981470,23352600\n2004-01-28,7.640000,7.760000,7.483333,7.523334,6.962959,15380100\n2004-01-29,7.546667,7.583333,7.050000,7.303333,6.759346,23242500\n2004-01-30,7.286667,7.583333,7.243333,7.416667,6.864238,11661600\n2004-02-02,7.476666,7.683333,7.400000,7.536667,6.975299,14021100\n2004-02-03,7.516667,7.646667,7.410000,7.510000,6.950618,10450800\n2004-02-04,7.403333,7.463333,7.296667,7.306667,6.762431,10920000\n2004-02-05,7.346667,7.500000,7.300000,7.416667,6.864238,8299500\n2004-02-06,7.513333,7.693333,7.473333,7.586667,7.021574,11778300\n2004-02-09,7.643333,7.766667,7.530000,7.533333,6.972214,9349800\n2004-02-10,7.556667,7.816667,7.553333,7.810000,7.228272,12742500\n2004-02-11,7.910000,8.110000,7.883333,8.083333,7.481248,18445200\n2004-02-12,8.040000,8.083333,7.716667,7.840000,7.256040,24372300\n2004-02-13,7.633333,7.963333,7.566667,7.766667,7.188168,43687500\n2004-02-17,7.796667,7.876667,7.690000,7.853333,7.268380,14399400\n2004-02-18,7.876667,7.916667,7.800000,7.853333,7.268380,8006100\n2004-02-19,7.950000,8.090000,7.833333,7.850000,7.265296,15775800\n2004-02-20,7.836667,8.066667,7.793334,8.046667,7.447313,15453000\n2004-02-23,8.033334,8.046667,7.660000,7.766667,7.188168,21333300\n2004-02-24,7.633333,7.730000,7.373333,7.456666,6.901258,17709600\n2004-02-25,7.503334,7.643333,7.420000,7.500000,6.941364,16312800\n2004-02-26,7.610000,7.623333,7.456666,7.550000,6.987640,8624400\n2004-02-27,7.566667,7.573333,7.303333,7.416667,6.864238,14888700\n2004-03-01,7.396667,7.540000,7.386667,7.526667,6.966044,12665700\n2004-03-02,7.536667,7.590000,7.356667,7.386667,6.836471,20333700\n2004-03-03,7.366667,7.366667,7.170000,7.290000,6.747006,13812300\n2004-03-04,7.363333,7.463333,7.303333,7.450000,6.895088,10333800\n2004-03-05,7.283333,7.566667,7.256667,7.396667,6.845727,8872200\n2004-03-08,7.400000,7.500000,7.083333,7.140000,6.608179,11629200\n2004-03-09,7.200000,7.206666,6.970000,7.090000,6.561903,9280800\n2004-03-10,7.136667,7.213333,6.936666,6.986667,6.466266,12042300\n2004-03-11,6.893333,7.140000,6.893333,6.933333,6.416906,13171800\n2004-03-12,7.026667,7.166667,6.950000,7.080000,6.552649,9448800\n2004-03-15,7.036667,7.066667,6.876667,6.920000,6.404565,10530600\n2004-03-16,7.006667,7.250000,6.960000,7.216667,6.679134,14937600\n2004-03-17,7.333333,7.463333,7.303333,7.393333,6.842642,13114800\n2004-03-18,7.353333,7.566667,7.333333,7.476666,6.919767,13201200\n2004-03-19,7.436666,7.513333,7.346667,7.390000,6.839557,11324100\n2004-03-22,7.276667,7.390000,7.166667,7.333333,6.787111,14417700\n2004-03-23,7.433333,7.513333,7.280000,7.363333,6.814876,14400900\n2004-03-24,7.350000,7.816667,7.333333,7.693333,7.120296,19683600\n2004-03-25,7.780000,8.180000,7.766667,8.140000,7.533693,24928200\n2004-03-26,8.116667,8.243333,8.006667,8.116667,7.512099,13790100\n2004-03-29,8.233334,8.576667,8.216666,8.466666,7.836025,24644100\n2004-03-30,8.410000,8.760000,8.403334,8.720000,8.070494,18123900\n2004-03-31,8.763333,8.893333,8.716666,8.800000,8.144534,15118800\n2004-04-01,8.810000,8.990000,8.423333,8.643333,7.999538,32987700\n2004-04-02,8.833333,8.890000,8.566667,8.766666,8.113682,16243500\n2004-04-05,8.720000,9.116667,8.720000,9.080000,8.403676,14418600\n2004-04-06,8.900000,8.963333,8.666667,8.713333,8.064321,15602400\n2004-04-07,8.780000,8.783334,8.513333,8.666667,8.021131,11196600\n2004-04-08,8.860000,9.000000,8.793333,8.913333,8.249424,11177400\n2004-04-12,8.983334,9.023334,8.693334,8.746667,8.095174,11094600\n2004-04-13,8.826667,8.833333,8.500000,8.543333,7.906985,11067600\n2004-04-14,8.500000,8.746667,8.403334,8.586667,7.947089,12800400\n2004-04-15,8.470000,8.506667,8.100000,8.136666,7.530610,20702100\n2004-04-16,8.103333,8.106667,7.853333,7.870000,7.283804,16371600\n2004-04-19,7.863333,7.916667,7.720000,7.860000,7.274549,13070100\n2004-04-20,7.880000,7.966667,7.523334,7.526667,6.966044,12845100\n2004-04-21,7.556667,7.800000,7.480000,7.536667,6.975299,17220300\n2004-04-22,7.466667,7.706666,7.310000,7.580000,7.015405,17388000\n2004-04-23,7.673333,7.876667,7.650000,7.746666,7.169657,11098200\n2004-04-26,7.763333,7.796667,7.423333,7.443333,6.888918,10747800\n2004-04-27,7.530000,7.730000,7.353333,7.380000,6.830302,12364200\n2004-04-28,7.383333,7.496666,7.293334,7.350000,6.802537,11719200\n2004-04-29,7.306667,7.356667,7.050000,7.146667,6.614349,16126200\n2004-04-30,7.106667,7.150000,6.813334,6.840000,6.330523,12823200\n2004-05-03,6.913333,6.983333,6.633333,6.753334,6.250313,15266700\n2004-05-04,6.850000,7.270000,6.833333,7.183333,6.648283,19309500\n2004-05-05,7.190000,7.306667,7.130000,7.243333,6.703816,11607000\n2004-05-06,7.170000,7.360000,7.016667,7.303333,6.759346,17783700\n2004-05-07,7.516667,7.656667,7.320000,7.360000,6.811792,23919300\n2004-05-10,7.163333,7.240000,6.916667,7.073333,6.546477,16726800\n2004-05-11,7.163333,7.316667,7.133333,7.246666,6.706900,9998400\n2004-05-12,7.206666,7.216667,6.896667,7.146667,6.614349,12058200\n2004-05-13,7.086667,7.300000,7.066667,7.170000,6.635944,8698800\n2004-05-14,7.200000,7.326667,7.133333,7.170000,6.635944,11475000\n2004-05-17,7.066667,7.160000,6.950000,7.056667,6.531053,7708500\n2004-05-18,7.120000,7.253334,7.093333,7.170000,6.635944,5110500\n2004-05-19,7.330000,7.433333,7.116667,7.153333,6.620518,12456900\n2004-05-20,7.140000,7.260000,7.013333,7.050000,6.524881,10537200\n2004-05-21,7.133333,7.143333,6.970000,7.066667,6.540307,7052400\n2004-05-24,7.053333,7.123333,6.960000,7.043334,6.518712,7540500\n2004-05-25,7.073333,7.383333,6.930000,7.350000,6.802537,17031600\n2004-05-26,7.350000,7.600000,7.306667,7.500000,6.941364,13114200\n2004-05-27,7.623333,7.736667,7.513333,7.523334,6.962959,13913700\n2004-05-28,7.616667,7.860000,7.556667,7.816667,7.234443,15949500\n2004-06-01,7.683333,7.890000,7.673333,7.810000,7.228272,7960500\n2004-06-02,8.000000,8.036667,7.743333,7.750000,7.172742,16095000\n2004-06-03,7.753334,7.770000,7.353333,7.376667,6.827216,17520600\n2004-06-04,7.526667,7.543334,7.296667,7.303333,6.759346,16240200\n2004-06-07,7.423333,7.563334,7.330000,7.480000,6.922854,14298900\n2004-06-08,7.436666,7.450000,7.236667,7.346667,6.799452,15375000\n2004-06-09,7.390000,7.400000,6.980000,7.003334,6.481692,12458400\n2004-06-10,7.116667,7.130000,6.870000,6.933333,6.416906,14112900\n2004-06-14,6.896667,6.896667,6.663333,6.716667,6.216376,10618800\n2004-06-15,6.830000,6.920000,6.753334,6.816667,6.308928,9864600\n2004-06-16,6.796667,6.840000,6.683333,6.710000,6.210208,6314400\n2004-06-17,6.666667,6.830000,6.543334,6.576667,6.086806,12059400\n2004-06-18,6.613333,6.770000,6.500000,6.586667,6.096060,13358400\n2004-06-21,6.596667,6.700000,6.426667,6.470000,5.988083,6664200\n2004-06-22,6.506667,6.683333,6.463333,6.653333,6.157760,10757700\n2004-06-23,6.633333,6.793334,6.616667,6.766667,6.262654,6616500\n2004-06-24,6.946667,6.970000,6.656667,6.706666,6.207122,14766300\n2004-06-25,6.753334,6.830000,6.673333,6.750000,6.247227,8228100\n2004-06-28,6.846667,6.870000,6.666667,6.693333,6.194782,7484400\n2004-06-29,6.733333,6.933333,6.706666,6.923333,6.407650,9096300\n2004-06-30,6.740000,6.930000,6.740000,6.823333,6.315099,8231700\n2004-07-01,6.900000,6.910000,6.500000,6.510000,6.025105,12640500\n2004-07-02,6.580000,6.583333,6.370000,6.420000,5.941807,7373700\n2004-07-06,6.343333,6.410000,5.973333,6.043334,5.593197,14384700\n2004-07-07,6.120000,6.246666,6.043334,6.073333,5.620962,8603400\n2004-07-08,6.016667,6.116667,5.876667,5.886667,5.448199,10751400\n2004-07-09,5.880000,5.886667,5.523334,5.633333,5.213736,27862500\n2004-07-12,5.476666,5.633333,5.430000,5.503334,5.093419,16901100\n2004-07-13,5.570000,5.666667,5.433333,5.493333,5.084163,14177700\n2004-07-14,5.300000,5.446667,5.143333,5.250000,4.858955,22540200\n2004-07-15,5.303333,5.360000,5.180000,5.213333,4.825018,15283800\n2004-07-16,5.373333,5.380000,5.060000,5.060000,4.683107,11617500\n2004-07-19,5.073333,5.173333,5.003334,5.116667,4.735553,11527200\n2004-07-20,5.113333,5.240000,5.063334,5.220000,4.831189,8538600\n2004-07-21,5.300000,5.306667,4.886667,4.903333,4.538109,15335400\n2004-07-22,4.960000,5.033333,4.800000,5.006667,4.633745,13036500\n2004-07-23,5.040000,5.046667,4.840000,4.873333,4.510344,9287400\n2004-07-26,4.936666,4.980000,4.690000,4.736667,4.383857,12580200\n2004-07-27,4.760000,4.906667,4.613333,4.893333,4.528854,19747200\n2004-07-28,4.883333,4.900000,4.633333,4.770000,4.414706,12627900\n2004-07-29,4.836667,5.206666,4.813334,5.083333,4.704702,18684000\n2004-07-30,5.020000,5.233333,5.010000,5.140000,4.757148,10098900\n2004-08-02,5.143333,5.226666,5.056667,5.206666,4.818849,10524600\n2004-08-03,5.230000,5.233333,4.896667,4.936666,4.568959,18538500\n2004-08-04,4.883333,5.036667,4.876667,4.990000,4.618320,12695400\n2004-08-05,5.043334,5.066667,4.766667,4.853333,4.491833,21498000\n2004-08-06,3.370000,3.400000,3.100000,3.143333,2.909203,127223700\n2004-08-09,3.223333,3.356667,3.170000,3.283333,3.038775,39480300\n2004-08-10,3.466667,3.576667,3.410000,3.543333,3.279409,51297900\n2004-08-11,3.496667,3.496667,3.416667,3.440000,3.183773,24095400\n2004-08-12,3.450000,3.460000,3.353333,3.360000,3.109731,16359600\n2004-08-13,3.440000,3.523333,3.410000,3.500000,3.239303,20392500\n2004-08-16,3.460000,3.553333,3.440000,3.466667,3.208453,13293300\n2004-08-17,3.543333,3.676667,3.510000,3.656667,3.384301,18622800\n2004-08-18,3.673333,3.900000,3.643333,3.900000,3.609509,21810600\n2004-08-19,3.876667,3.946667,3.826667,3.886667,3.597169,18110100\n2004-08-20,3.866667,4.173333,3.853333,4.116667,3.810037,29976000\n2004-08-23,4.183333,4.250000,4.160000,4.206666,3.893335,20000700\n2004-08-24,4.266667,4.286667,3.970000,4.050000,3.748336,23485500\n2004-08-25,4.140000,4.253334,4.063334,4.223333,3.908759,18032700\n2004-08-26,4.216667,4.260000,4.183333,4.233333,3.918013,15318000\n2004-08-27,4.236667,4.373333,4.233333,4.313334,3.992056,14128200\n2004-08-30,4.296667,4.320000,4.166667,4.170000,3.859399,15701400\n2004-08-31,4.186666,4.206666,4.023334,4.153333,3.843972,14676600\n2004-09-01,4.100000,4.293334,4.046667,4.233333,3.918013,14793600\n2004-09-02,4.253334,4.440000,4.213333,4.406667,4.078437,19252200\n2004-09-03,4.273334,4.360000,4.236667,4.273334,3.955034,17876400\n2004-09-07,4.300000,4.390000,4.136667,4.193333,3.880993,18183300\n2004-09-08,4.196667,4.233333,4.096667,4.106667,3.800782,20874600\n2004-09-09,4.206666,4.590000,4.186666,4.516667,4.180245,32483100\n2004-09-10,4.440000,4.713333,4.426667,4.690000,4.340666,25983600\n2004-09-13,4.683333,4.873333,4.676667,4.780000,4.423964,24193800\n2004-09-14,4.736667,4.833333,4.700000,4.800000,4.442473,17088900\n2004-09-15,4.653333,4.666667,4.473333,4.533333,4.195668,29097600\n2004-09-16,4.610000,4.750000,4.593333,4.703333,4.353006,20250600\n2004-09-17,4.740000,4.923333,4.700000,4.896667,4.531938,25095000\n2004-09-20,4.800000,5.030000,4.740000,4.890000,4.525771,19865700\n2004-09-21,5.000000,5.060000,4.940000,5.020000,4.646086,12597600\n2004-09-22,4.886667,5.006667,4.763333,4.786667,4.430132,15648000\n2004-09-23,4.843333,4.856667,4.703333,4.830000,4.470239,14466600\n2004-09-24,4.850000,4.856667,4.613333,4.683333,4.334496,11907900\n2004-09-27,4.646667,4.700000,4.516667,4.600000,4.257370,10150500\n2004-09-28,4.590000,4.706666,4.526667,4.666667,4.319069,11871000\n2004-09-29,4.663333,4.913333,4.603333,4.780000,4.423964,13430700\n2004-09-30,4.833333,4.950000,4.743333,4.840000,4.479494,15492000\n2004-10-01,4.863333,5.066667,4.840000,5.040000,4.664597,14760300\n2004-10-04,5.083333,5.250000,5.073333,5.183333,4.797253,16848300\n2004-10-05,5.056667,5.190000,5.020000,5.066667,4.689277,15829500\n2004-10-06,5.056667,5.110000,4.940000,5.086667,4.707788,12462600\n2004-10-07,5.180000,5.296667,5.090000,5.116667,4.735553,19951800\n2004-10-08,5.063334,5.083333,4.793334,4.836667,4.476409,17335500\n2004-10-11,4.843333,4.940000,4.756667,4.843333,4.482577,9346200\n2004-10-12,4.680000,4.810000,4.603333,4.773334,4.417792,20680800\n2004-10-13,4.916667,4.980000,4.703333,4.743333,4.390027,16820400\n2004-10-14,4.786667,4.786667,4.566667,4.600000,4.257370,12831600\n2004-10-15,4.610000,4.616667,4.360000,4.473333,4.140139,32012100\n2004-10-18,4.446667,4.600000,4.410000,4.553333,4.214179,14349300\n2004-10-19,4.656667,4.703333,4.490000,4.523334,4.186414,15462000\n2004-10-20,4.510000,4.596667,4.483333,4.576667,4.235775,13505100\n2004-10-21,4.623333,4.740000,4.586667,4.680000,4.331410,25349100\n2004-10-22,4.723333,4.733333,4.413333,4.426667,4.096948,17161500\n2004-10-25,4.390000,4.543334,4.380000,4.446667,4.115457,13229100\n2004-10-26,4.883333,5.063334,4.723333,4.830000,4.470239,61394400\n2004-10-27,4.743333,5.053333,4.743333,4.963333,4.593640,26850900\n2004-10-28,4.896667,5.000000,4.863333,4.910000,4.544279,14038800\n2004-10-29,4.863333,4.930000,4.780000,4.823333,4.464067,18571500\n2004-11-01,4.890000,4.930000,4.826667,4.926667,4.559705,16347300\n2004-11-02,4.913333,5.100000,4.873333,4.996666,4.624490,27393900\n2004-11-03,5.200000,5.216667,5.016667,5.043334,4.667682,22758900\n2004-11-04,5.080000,5.200000,4.973333,5.136667,4.754062,24888600\n2004-11-05,5.933333,6.256667,5.813334,5.880000,5.442029,96225300\n2004-11-08,5.816667,6.023334,5.790000,5.943333,5.500645,17965500\n2004-11-09,5.853333,5.993333,5.850000,5.906667,5.466709,15398400\n2004-11-10,5.900000,5.963333,5.873333,5.906667,5.466709,16147800\n2004-11-11,5.943333,6.023334,5.903333,6.023334,5.574686,12675000\n2004-11-12,6.116667,6.133333,5.973333,6.033333,5.583941,16176900\n2004-11-15,5.973333,6.166667,5.936666,6.123333,5.667237,13411800\n2004-11-16,6.143333,6.210000,5.990000,6.103333,5.648727,11818200\n2004-11-17,6.200000,6.370000,6.140000,6.206666,5.744364,15069300\n2004-11-18,6.260000,6.340000,6.130000,6.286667,5.818405,13313100\n2004-11-19,6.766667,6.843333,6.270000,6.320000,5.849256,53151300\n2004-11-22,6.343333,6.500000,6.283333,6.500000,6.015849,18344700\n2004-11-23,6.446667,6.596667,6.393333,6.526667,6.040529,16922400\n2004-11-24,6.520000,6.660000,6.503334,6.553333,6.065209,10714500\n2004-11-26,6.583333,6.680000,6.526667,6.620000,6.126910,8769000\n2004-11-29,6.670000,6.716667,6.433333,6.490000,6.006593,17609700\n2004-11-30,6.516667,6.523334,6.340000,6.376667,5.901703,14413500\n2004-12-01,6.433333,6.536667,6.386667,6.536667,6.049784,12864300\n2004-12-02,6.473333,6.673333,6.423333,6.623333,6.129994,18966300\n2004-12-03,6.783333,7.000000,6.760000,6.910000,6.395310,33682800\n2004-12-06,6.943333,7.296667,6.820000,7.240000,6.700728,24262500\n2004-12-07,7.663333,8.320000,7.513333,7.603333,7.037001,73176300\n2004-12-08,7.710000,7.833333,7.633333,7.693333,7.120296,21818100\n2004-12-09,7.556667,7.703333,7.410000,7.623333,7.055511,21749100\n2004-12-10,7.800000,7.853333,7.723333,7.770000,7.191253,16321200\n2004-12-13,7.653333,7.753334,7.520000,7.556667,6.993810,18450600\n2004-12-14,7.563334,7.716667,7.550000,7.710000,7.135721,12824700\n2004-12-15,7.786667,7.803333,7.666667,7.780000,7.200507,10819200\n2004-12-16,8.006667,8.286667,7.870000,7.883333,7.296144,38100900\n2004-12-17,8.030000,8.063334,7.596667,7.686666,7.114126,30356100\n2004-12-20,7.776667,7.896667,7.563334,7.603333,7.037001,22468200\n2004-12-21,7.603333,7.713333,7.416667,7.660000,7.089447,22485000\n2004-12-22,7.813334,7.850000,7.653333,7.670000,7.098701,10545600\n2004-12-23,7.626667,7.776667,7.590000,7.690000,7.117211,9174300\n2004-12-27,7.796667,7.830000,7.583333,7.623333,7.055511,7705200\n2004-12-28,7.640000,7.700000,7.553333,7.583333,7.018491,7290300\n2004-12-29,7.560000,7.743333,7.540000,7.650000,7.080191,7368300\n2004-12-30,7.653333,7.716667,7.586667,7.620000,7.052426,6495300\n2004-12-31,7.730000,7.893333,7.700000,7.853333,7.268380,14399100\n2005-01-03,8.126667,8.240000,7.826667,7.860000,7.274549,26667900\n2005-01-04,7.916667,7.930000,7.370000,7.490000,6.932107,19755600\n2005-01-05,7.410000,7.650000,7.370000,7.560000,6.996895,18120300\n2005-01-06,7.693333,7.783333,7.433333,7.486667,6.929022,14089200\n2005-01-07,7.503334,7.560000,7.233333,7.343333,6.796367,19077300\n2005-01-10,7.366667,7.433333,7.316667,7.360000,6.811792,14488800\n2005-01-11,7.290000,7.330000,7.023334,7.133333,6.602008,27334500\n2005-01-12,7.196667,7.223333,6.900000,7.073333,6.546477,26445000\n2005-01-13,7.090000,7.333333,6.933333,7.146667,6.614349,22469100\n2005-01-14,7.280000,7.296667,7.100000,7.170000,6.635944,14347800\n2005-01-18,7.090000,7.300000,7.073333,7.283333,6.740834,11613900\n2005-01-19,7.316667,7.333333,7.086667,7.116667,6.586583,8412300\n2005-01-20,6.973333,7.306667,6.973333,7.133333,6.602008,16002000\n2005-01-21,7.143333,7.286667,7.120000,7.146667,6.614349,14908800\n2005-01-24,7.106667,7.210000,6.820000,6.860000,6.349034,11592600\n2005-01-25,6.890000,7.076667,6.850000,6.980000,6.460096,10992600\n2005-01-26,7.003334,7.166667,6.886667,7.070000,6.543393,10728000\n2005-01-27,7.083333,7.670000,7.040000,7.636667,7.067852,25072800\n2005-01-28,7.666667,7.696667,7.460000,7.626667,7.058596,16776300\n2005-01-31,7.690000,7.783333,7.533333,7.640000,7.070936,14074200\n2005-02-01,7.633333,7.816667,7.586667,7.783333,7.203594,12679500\n2005-02-02,8.090000,8.280000,7.860000,8.216666,7.604649,50885100\n2005-02-03,8.130000,8.186666,8.016666,8.130000,7.524439,17253000\n2005-02-04,8.133333,8.620000,8.130000,8.596666,7.956344,20161200\n2005-02-07,8.606667,8.766666,8.416667,8.493333,7.860709,13040700\n2005-02-08,8.440000,8.713333,8.413333,8.576667,7.937836,11394300\n2005-02-09,8.600000,8.626667,8.233334,8.276667,7.660179,19593900\n2005-02-10,8.320000,8.513333,8.290000,8.470000,7.839112,15059400\n2005-02-11,8.416667,8.780000,8.386666,8.716666,8.067407,13912800\n2005-02-14,8.713333,8.746667,8.500000,8.533334,7.897729,10822500\n2005-02-15,8.590000,8.883333,8.576667,8.610000,7.968687,18712500\n2005-02-16,8.583333,8.706667,8.426666,8.580000,7.940920,11661600\n2005-02-17,8.696667,8.700000,8.436666,8.503333,7.869962,25435200\n2005-02-18,9.156667,9.433333,8.903334,9.423333,8.721437,78303000\n2005-02-22,9.360000,9.763333,9.276667,9.543333,8.832500,35520000\n2005-02-23,9.390000,9.506667,9.080000,9.233334,8.545593,27696000\n2005-02-24,9.106667,9.490000,9.106667,9.476666,8.770797,17387400\n2005-02-25,9.490000,9.663333,9.386666,9.613334,8.897285,13128300\n2005-02-28,9.566667,9.666667,9.483334,9.663333,8.943562,18951600\n2005-03-01,9.706667,9.866667,9.543333,9.640000,8.921967,18428700\n2005-03-02,9.533334,9.586667,9.300000,9.356667,8.659735,23686500\n2005-03-03,9.333333,9.393333,9.093333,9.230000,8.542503,19032300\n2005-03-04,9.256667,9.336667,9.113334,9.190000,8.505485,14828100\n2005-03-07,9.230000,9.476666,9.166667,9.283334,8.591866,12779400\n2005-03-08,9.260000,9.280000,8.753333,8.813334,8.156874,33309600\n2005-03-09,8.756667,8.920000,8.556666,8.583333,7.944006,22753500\n2005-03-10,8.610000,8.686666,8.443334,8.580000,7.940920,17232000\n2005-03-11,8.656667,8.670000,8.310000,8.386666,7.761986,18304500\n2005-03-14,8.560000,8.660000,8.500000,8.623333,7.981024,14303700\n2005-03-15,8.666667,8.750000,8.443334,8.450000,7.820603,9452700\n2005-03-16,8.416667,8.550000,8.303333,8.306666,7.687944,13383900\n2005-03-17,8.333333,8.363334,8.203333,8.223333,7.610821,11064600\n2005-03-18,8.230000,8.256667,7.906667,8.056666,7.456567,15975300\n2005-03-21,8.053333,8.353333,8.003333,8.333333,7.712626,16361400\n2005-03-22,8.340000,8.416667,8.153334,8.183333,7.573801,15574800\n2005-03-23,8.173333,8.416667,8.156667,8.360000,7.737307,18219600\n2005-03-24,8.383333,8.610000,8.370000,8.376667,7.752734,21633900\n2005-03-28,8.380000,8.500000,8.203333,8.283334,7.666350,12779700\n2005-03-29,8.273334,8.366667,8.063334,8.100000,7.496672,14685000\n2005-03-30,8.103333,8.216666,7.823333,8.100000,7.496672,21467700\n2005-03-31,8.053333,8.110000,7.883333,7.920000,7.330080,12957900\n2005-04-01,8.016666,8.063334,7.796667,7.843333,7.259122,12768900\n2005-04-04,7.800000,7.823333,7.623333,7.796667,7.215932,10535700\n2005-04-05,7.800000,7.963333,7.613333,7.660000,7.089447,10753200\n2005-04-06,7.803333,7.933333,7.750000,7.776667,7.197423,14186700\n2005-04-07,7.816667,8.000000,7.683333,7.920000,7.330080,12658800\n2005-04-08,7.953333,8.130000,7.800000,7.816667,7.234443,15538500\n2005-04-11,7.873333,7.900000,7.640000,7.663333,7.092532,8209500\n2005-04-12,7.640000,7.770000,7.470000,7.756667,7.178913,12805800\n2005-04-13,7.766667,7.786667,7.383333,7.433333,6.879663,12460200\n2005-04-14,7.450000,7.520000,7.346667,7.373333,6.824131,8802000\n2005-04-15,7.280000,7.333333,7.050000,7.116667,6.586583,15753900\n2005-04-18,7.073333,7.226666,7.033333,7.066667,6.540307,11827500\n2005-04-19,7.183333,7.366667,7.150000,7.313334,6.768601,9136500\n2005-04-20,7.436666,7.483333,7.083333,7.090000,6.561903,14116800\n2005-04-21,7.233333,7.510000,7.170000,7.483333,6.925939,13453800\n2005-04-22,7.436666,7.486667,7.326667,7.413333,6.861152,8406900\n2005-04-25,7.476666,7.586667,7.440000,7.530000,6.969129,7954200\n2005-04-26,7.533333,7.690000,7.343333,7.496666,6.938279,8828700\n2005-04-27,7.300000,7.326667,7.060000,7.210000,6.672964,15233700\n2005-04-28,7.186666,7.330000,7.116667,7.233333,6.694559,9323700\n2005-04-29,7.303333,7.360000,6.973333,7.310000,6.765516,11958900\n2005-05-02,7.396667,7.480000,7.173333,7.283333,6.740834,8372700\n2005-05-03,7.290000,7.423333,7.213333,7.243333,6.703816,10987800\n2005-05-04,7.276667,7.526667,7.253334,7.473333,6.916683,11720400\n2005-05-05,7.516667,7.713333,7.476666,7.620000,7.052426,15481800\n2005-05-06,7.710000,7.726666,7.533333,7.723333,7.148062,8893200\n2005-05-09,7.756667,7.920000,7.710000,7.866667,7.280720,18633300\n2005-05-10,7.766667,7.770000,7.473333,7.560000,6.996895,18378000\n2005-05-11,7.600000,7.633333,7.420000,7.433333,6.879663,13885500\n2005-05-12,7.433333,7.696667,7.426667,7.596667,7.030830,20889600\n2005-05-13,8.283334,8.490000,7.933333,8.443334,7.814434,66258000\n2005-05-16,8.343333,8.530000,8.340000,8.473333,7.842198,16602600\n2005-05-17,8.423333,8.606667,8.416667,8.566667,7.928581,15995100\n2005-05-18,8.546667,8.650000,8.456667,8.630000,7.987198,13751400\n2005-05-19,8.650000,8.686666,8.516666,8.613334,7.971773,11322000\n2005-05-20,8.603333,8.770000,8.503333,8.766666,8.113682,12925200\n2005-05-23,8.826667,9.060000,8.800000,8.970000,8.301869,17591700\n2005-05-24,8.926666,9.130000,8.883333,9.096666,8.419103,13054800\n2005-05-25,9.076667,9.123333,8.893333,8.980000,8.311127,13381800\n2005-05-26,9.060000,9.303333,9.043333,9.233334,8.545593,19719600\n2005-05-27,9.260000,9.260000,9.076667,9.173333,8.490056,8068500\n2005-05-31,9.133333,9.210000,8.883333,9.033334,8.360491,19079400\n2005-06-01,8.973333,9.283334,8.866667,9.116667,8.437613,19915800\n2005-06-02,9.083333,9.456667,9.083333,9.456667,8.752291,17108700\n2005-06-03,9.423333,9.510000,9.333333,9.433333,8.730693,13990500\n2005-06-06,9.263333,9.446667,9.256667,9.343333,8.647397,12822300\n2005-06-07,9.280000,9.433333,9.083333,9.116667,8.437613,24353400\n2005-06-08,9.140000,9.266666,8.956667,9.053333,8.378999,15468000\n2005-06-09,8.983334,9.436666,8.973333,9.433333,8.730693,15497700\n2005-06-10,9.423333,9.433333,9.263333,9.326667,8.631971,11627400\n2005-06-13,9.333333,9.796667,9.306666,9.533334,8.823245,35247900\n2005-06-14,9.536667,9.693334,8.670000,8.970000,8.301869,60210300\n2005-06-15,8.913333,8.983334,8.590000,8.943334,8.277192,41744700\n2005-06-16,8.940000,9.050000,8.810000,8.990000,8.320382,12231000\n2005-06-17,9.100000,9.116667,8.946667,8.970000,8.301869,11408700\n2005-06-20,8.970000,9.166667,8.823334,9.106667,8.428358,15151500\n2005-06-21,9.166667,9.236667,9.080000,9.193334,8.508569,10704300\n2005-06-22,9.290000,9.353333,9.070000,9.183333,8.499314,17516700\n2005-06-23,9.166667,9.440000,9.133333,9.326667,8.631971,20924400\n2005-06-24,9.310000,9.313334,8.980000,9.030000,8.357400,11890800\n2005-06-27,8.973333,9.046667,8.876667,8.956667,8.289530,8864700\n2005-06-28,8.993333,9.073334,8.893333,9.013333,8.341974,6557700\n2005-06-29,9.016666,9.033334,8.856667,8.930000,8.264852,7089300\n2005-06-30,8.990000,9.073334,8.836667,8.906667,8.243255,14830800\n2005-07-01,8.876667,8.960000,8.766666,8.946667,8.280277,7879200\n2005-07-05,8.980000,9.123333,8.893333,9.086667,8.409846,9711000\n2005-07-06,9.116667,9.370000,9.013333,9.330000,8.635056,17590800\n2005-07-07,9.183333,9.333333,9.153334,9.263333,8.573357,11647500\n2005-07-08,9.320000,9.410000,9.200000,9.380000,8.681332,10203300\n2005-07-11,9.463333,9.616667,9.423333,9.520000,8.810903,9987300\n2005-07-12,9.513333,9.540000,9.273334,9.466666,8.761544,14106300\n2005-07-13,9.506667,9.533334,9.320000,9.480000,8.773884,14869500\n2005-07-14,9.580000,9.766666,9.046667,9.060000,8.385170,46787400\n2005-07-15,9.033334,9.060000,8.806666,8.963333,8.295699,30583800\n2005-07-18,8.936666,8.940000,8.650000,8.740000,8.089001,26122500\n2005-07-19,8.793333,8.880000,8.726666,8.860000,8.200062,12947400\n2005-07-20,8.756667,9.030000,8.636666,8.993333,8.323465,13162500\n2005-07-21,8.876667,8.916667,8.656667,8.840000,8.181556,14863200\n2005-07-22,8.883333,9.010000,8.546667,8.610000,7.968687,17481600\n2005-07-25,8.510000,8.926666,8.473333,8.660000,8.014959,24373800\n2005-07-26,8.623333,8.853333,8.590000,8.840000,8.181556,18987300\n2005-07-27,8.853333,9.060000,8.703333,9.020000,8.348148,20195700\n2005-07-28,9.003333,9.133333,8.880000,9.090000,8.412932,10281000\n2005-07-29,9.053333,9.150000,8.946667,9.020000,8.348148,8791500\n2005-08-01,9.073334,9.196667,9.013333,9.156667,8.474634,9726000\n2005-08-02,9.166667,9.310000,9.153334,9.280000,8.588781,10566300\n2005-08-03,9.280000,9.366667,9.196667,9.280000,8.588781,12956400\n2005-08-04,9.210000,9.250000,9.163333,9.183333,8.499314,8910600\n2005-08-05,9.170000,9.436666,9.106667,9.416667,8.715269,17102400\n2005-08-08,9.480000,9.656667,9.383333,9.450000,8.746119,18138600\n2005-08-09,9.463333,9.486667,9.323334,9.426666,8.724523,7297500\n2005-08-10,9.466666,9.513333,9.190000,9.286667,8.594952,11013900\n2005-08-11,9.286667,9.433333,9.196667,9.416667,8.715269,17538900\n2005-08-12,9.970000,10.070000,9.630000,9.983334,9.239722,57385500\n2005-08-15,10.016666,10.340000,9.890000,10.236667,9.474190,22070100\n2005-08-16,10.140000,10.230000,9.990000,10.063334,9.313769,15937200\n2005-08-17,10.020000,10.186666,10.013333,10.063334,9.313769,15189300\n2005-08-18,9.986667,10.036667,9.760000,9.803333,9.073134,20568300\n2005-08-19,9.820000,9.850000,9.703333,9.733334,9.008348,10555800\n2005-08-22,9.716666,9.873333,9.540000,9.653334,8.934306,13680600\n2005-08-23,9.643333,9.766666,9.610000,9.716666,8.992922,6361500\n2005-08-24,9.653334,9.930000,9.606667,9.723333,8.999093,12865500\n2005-08-25,9.766666,9.843333,9.683333,9.790000,9.060793,7412100\n2005-08-26,9.800000,9.800000,9.546667,9.640000,8.921967,8085900\n2005-08-29,9.550000,9.666667,9.473333,9.656667,8.937391,8584800\n2005-08-30,9.640000,10.026667,9.626667,10.003333,9.258239,23721300\n2005-08-31,9.980000,10.353333,9.950000,10.226666,9.464934,22670100\n2005-09-01,10.196667,10.323334,10.143333,10.230000,9.468021,13922100\n2005-09-02,10.250000,10.250000,10.030000,10.063334,9.313769,11745000\n2005-09-06,10.100000,10.200000,9.946667,10.146667,9.390894,10577400\n2005-09-07,10.133333,10.496667,10.106667,10.470000,9.690145,14700300\n2005-09-08,10.406667,10.723333,10.406667,10.593333,9.804291,16152900\n2005-09-09,10.706667,10.753333,10.533334,10.730000,9.930777,11355900\n2005-09-12,10.740000,10.773334,10.566667,10.693334,9.896841,13914600\n2005-09-13,10.643333,11.070000,10.643333,11.016666,10.196093,21368100\n2005-09-14,10.933333,11.080000,10.833333,10.883333,10.072692,12586200\n2005-09-15,11.050000,11.200000,10.983334,11.076667,10.251625,18993900\n2005-09-16,11.170000,11.230000,10.993333,11.083333,10.257793,12995700\n2005-09-19,11.070000,11.106667,10.866667,10.926666,10.112795,10707900\n2005-09-20,11.010000,11.263333,10.996667,11.140000,10.310238,13054800\n2005-09-21,11.096666,11.316667,10.946667,11.043333,10.220770,15641400\n2005-09-22,11.070000,11.070000,10.550000,10.746667,9.946202,18478800\n2005-09-23,10.723333,10.996667,10.633333,10.903334,10.091202,7866000\n2005-09-26,10.986667,11.070000,10.790000,10.993333,10.174496,10169400\n2005-09-27,11.040000,11.136666,10.946667,11.030000,10.208431,10104000\n2005-09-28,11.063334,11.126667,10.936666,11.096666,10.270132,8838900\n2005-09-29,11.100000,11.333333,11.010000,11.326667,10.483002,12834300\n2005-09-30,11.333333,11.530000,11.310000,11.426666,10.575553,11470800\n2005-10-03,11.560000,11.823334,11.466666,11.740000,10.865548,13747200\n2005-10-04,11.790000,11.983334,11.560000,11.586667,10.723637,12861900\n2005-10-05,11.600000,11.600000,11.133333,11.203333,10.368854,14979600\n2005-10-06,11.190000,11.363334,10.826667,11.163333,10.331835,17137800\n2005-10-07,11.183333,11.296667,10.933333,11.020000,10.199178,13798800\n2005-10-10,11.076667,11.096666,10.736667,10.740000,9.940034,11480400\n2005-10-11,10.780000,10.873333,10.483334,10.606667,9.816631,13501200\n2005-10-12,10.576667,10.896667,10.563334,10.733334,9.933864,16441500\n2005-10-13,10.710000,10.726666,10.266666,10.676666,9.881415,12732600\n2005-10-14,10.753333,10.886666,10.500000,10.676666,9.881415,7781400\n2005-10-17,10.683333,10.886666,10.683333,10.780000,9.977053,6097800\n2005-10-18,10.820000,10.840000,10.533334,10.603333,9.813545,7495800\n2005-10-19,10.466666,10.530000,10.170000,10.513333,9.730251,15898800\n2005-10-20,10.530000,10.806666,10.483334,10.586667,9.798121,8988000\n2005-10-21,10.766666,10.800000,10.573334,10.646667,9.853652,7459200\n2005-10-24,10.740000,10.936666,10.643333,10.936666,10.122051,7275300\n2005-10-25,10.863334,11.040000,10.816667,11.006667,10.186837,8367000\n2005-10-26,11.010000,11.033334,10.690000,10.706667,9.909181,10383600\n2005-10-27,10.726666,10.760000,10.450000,10.483334,9.702484,5694600\n2005-10-28,10.510000,10.826667,10.250000,10.806666,10.001733,11616000\n2005-10-31,10.850000,11.260000,10.850000,11.183333,10.350346,10810500\n2005-11-01,11.183333,11.266666,10.960000,11.046667,10.223859,10012200\n2005-11-02,11.050000,11.700000,11.000000,11.686666,10.816185,13091700\n2005-11-03,11.766666,11.833333,11.456667,11.550000,10.689701,11626800\n2005-11-04,11.556666,11.583333,11.233334,11.353333,10.507680,14256900\n2005-11-07,11.413333,11.453333,11.256667,11.303333,10.461407,9270600\n2005-11-08,11.346666,11.356667,11.043333,11.093333,10.267047,13474200\n2005-11-09,11.116667,11.666667,10.990000,11.593333,10.729808,20472000\n2005-11-10,11.996667,12.256667,10.946667,11.163333,10.331835,62590500\n2005-11-11,11.260000,11.480000,11.210000,11.346666,10.501510,13648200\n2005-11-14,11.350000,11.666667,11.176666,11.586667,10.723637,12341700\n2005-11-15,11.656667,11.766666,11.576667,11.613334,10.748317,12405000\n2005-11-16,11.626667,11.690000,11.346666,11.573334,10.711294,11382000\n2005-11-17,11.670000,12.096666,11.533334,12.086667,11.186394,17581500\n2005-11-18,12.126667,12.226666,11.826667,12.063334,11.164798,11644200\n2005-11-21,12.076667,12.296667,11.996667,12.276667,11.362241,11367600\n2005-11-22,12.340000,12.723333,12.243333,12.603333,11.664578,18292500\n2005-11-23,12.616667,12.750000,12.500000,12.566667,11.630641,10298700\n2005-11-25,12.626667,12.710000,12.540000,12.690000,11.744785,2916900\n2005-11-28,12.723333,12.833333,12.400000,12.626667,11.686171,10613100\n2005-11-29,11.880000,12.216666,11.773334,11.826667,10.945757,26078400\n2005-11-30,11.743333,12.110000,11.740000,12.050000,11.152459,14386200\n2005-12-01,12.150000,12.250000,12.020000,12.193334,11.285114,14050800\n2005-12-02,12.250000,12.280000,12.033334,12.196667,11.288199,8361900\n2005-12-05,12.223333,12.223333,11.930000,11.970000,11.078419,9692700\n2005-12-06,11.990000,12.183333,11.973333,12.020000,11.124692,9381300\n2005-12-07,12.066667,12.140000,11.833333,12.040000,11.143202,8816700\n2005-12-08,11.976666,12.133333,11.806666,11.943334,11.053739,9666600\n2005-12-09,11.980000,12.130000,11.813334,12.113334,11.211075,6572400\n2005-12-12,12.146667,12.316667,12.126667,12.290000,11.374582,7028400\n2005-12-13,12.313334,12.556666,12.223333,12.450000,11.522662,11085300\n2005-12-14,12.356667,12.416667,12.186666,12.333333,11.414687,7186800\n2005-12-15,12.323334,12.416667,12.050000,12.176666,11.269689,8318100\n2005-12-16,12.220000,12.336667,12.103333,12.283334,11.368410,26640000\n2005-12-19,12.310000,12.400000,12.050000,12.080000,11.180222,7307400\n2005-12-20,12.066667,12.250000,11.913333,12.073334,11.174052,7608900\n2005-12-21,12.130000,12.230000,11.940000,12.050000,11.152459,7234500\n2005-12-22,12.040000,12.430000,12.036667,12.416667,11.491814,7958400\n2005-12-23,12.450000,12.530000,12.366667,12.513333,11.581277,5363400\n2005-12-27,12.500000,12.726666,12.460000,12.590000,11.652235,9199200\n2005-12-28,12.590000,12.746667,12.510000,12.706667,11.760216,6610500\n2005-12-29,12.700000,12.740000,12.370000,12.423333,11.497983,7761600\n2005-12-30,12.353333,12.356667,12.136666,12.186666,11.278945,5740200\n2006-01-03,12.256667,12.833333,12.216666,12.740000,11.791061,11820300\n2006-01-04,12.836667,13.116667,12.703333,13.096666,12.121163,12751800\n2006-01-05,13.100000,13.416667,13.076667,13.393333,12.395735,16152300\n2006-01-06,13.546667,13.663333,13.016666,13.613334,12.599348,15584700\n2006-01-09,13.606667,14.066667,13.576667,13.993333,12.951041,14012100\n2006-01-10,13.926666,13.996667,13.750000,13.996667,12.954129,8491500\n2006-01-11,14.010000,14.583333,13.986667,14.503333,13.423056,15657600\n2006-01-12,14.500000,14.723333,14.193334,14.296667,13.231782,12387600\n2006-01-13,14.263333,14.380000,13.970000,14.170000,13.114550,10532400\n2006-01-17,13.976666,14.166667,13.790000,14.160000,13.105297,8230800\n2006-01-18,13.730000,14.280000,13.600000,14.233334,13.173166,11498700\n2006-01-19,14.423333,15.220000,14.396667,15.023334,13.904321,22869000\n2006-01-20,15.046667,15.220000,14.600000,14.603333,13.515608,11540100\n2006-01-23,14.716666,14.810000,14.516666,14.686666,13.592733,8372100\n2006-01-24,14.720000,15.066667,14.680000,14.760000,13.660604,9722400\n2006-01-25,14.833333,14.930000,14.453333,14.630000,13.540288,10005900\n2006-01-26,14.843333,15.143333,14.750000,15.130000,14.003043,11220900\n2006-01-27,15.326667,15.586667,15.200000,15.416667,14.268358,9626100\n2006-01-30,15.483334,15.500000,15.173333,15.243333,14.107936,7894500\n2006-01-31,15.166667,15.250000,14.870000,14.986667,13.870388,9611400\n2006-02-01,14.716666,15.056666,14.660000,14.996667,13.879642,11271300\n2006-02-02,15.133333,15.143333,14.516666,14.540000,13.456992,11843400\n2006-02-03,14.446667,14.853333,14.400000,14.673333,13.580393,12606300\n2006-02-06,14.633333,15.103333,14.570000,15.086667,13.962939,9086700\n2006-02-07,15.116667,15.116667,14.543333,14.550000,13.466246,9985200\n2006-02-08,14.593333,14.970000,14.593333,14.970000,13.854959,9826800\n2006-02-09,15.016666,15.250000,14.623333,14.716666,13.620496,10927500\n2006-02-10,14.770000,14.836667,14.290000,14.633333,13.543372,10374900\n2006-02-13,14.586667,14.786667,14.486667,14.683333,13.589648,7018500\n2006-02-14,14.683333,14.763333,14.516666,14.710000,13.614330,8558700\n2006-02-15,14.680000,15.033334,14.643333,14.993333,13.876558,12332400\n2006-02-16,15.273334,15.766666,15.170000,15.733334,14.561440,32647200\n2006-02-17,16.889999,16.906666,15.733334,15.823334,14.644734,58923900\n2006-02-21,15.790000,15.816667,15.350000,15.486667,14.333142,17101500\n2006-02-22,15.266666,15.583333,14.900000,15.460000,14.308464,23493900\n2006-02-23,15.413333,15.516666,15.180000,15.223333,14.089426,9628200\n2006-02-24,15.290000,15.473333,15.140000,15.220000,14.086342,10410300\n2006-02-27,15.336667,15.933333,15.176666,15.836667,14.657075,16661700\n2006-02-28,15.766666,15.900000,15.556666,15.710000,14.539842,14082900\n2006-03-01,15.766666,16.400000,15.666667,16.306667,15.092067,17598300\n2006-03-02,16.290001,16.559999,16.120001,16.330000,15.113661,13636500\n2006-03-03,16.180000,16.670000,16.150000,16.386667,15.166108,14895000\n2006-03-06,16.706667,16.816668,16.273333,16.353333,15.135261,13225500\n2006-03-07,16.356667,16.483334,15.750000,16.073334,14.876115,15155100\n2006-03-08,16.076666,16.160000,15.420000,15.993333,14.802073,16770000\n2006-03-09,16.186666,16.456667,16.066668,16.076666,14.879198,13417500\n2006-03-10,16.059999,16.263334,15.653334,15.796667,14.620051,13039500\n2006-03-13,15.956667,16.063334,15.836667,15.986667,14.795903,9303300\n2006-03-14,16.000000,16.496666,15.940000,16.430000,15.206213,15694800\n2006-03-15,16.463333,16.716667,16.400000,16.693333,15.449929,12765000\n2006-03-16,16.723333,16.743334,16.070000,16.126667,14.925476,14210400\n2006-03-17,16.049999,16.299999,15.810000,16.256666,15.045790,15464700\n2006-03-20,16.400000,16.403334,16.116667,16.133333,14.931646,7344300\n2006-03-21,16.930000,17.233334,16.486666,16.930000,15.668972,30886800\n2006-03-22,16.500000,16.580000,16.073334,16.443333,15.218554,28964400\n2006-03-23,16.500000,16.816668,16.313334,16.750000,15.502376,16549800\n2006-03-24,16.793333,17.346666,16.766666,17.316668,16.026834,17198400\n2006-03-27,17.330000,17.796667,17.273333,17.783333,16.458744,16286100\n2006-03-28,17.703333,18.293333,17.666666,18.056667,16.711720,19880100\n2006-03-29,18.133333,19.059999,17.983334,19.026667,17.609470,24677400\n2006-03-30,19.046667,19.260000,18.703333,19.156666,17.729788,26582700\n2006-03-31,19.143333,19.410000,18.969999,19.086666,17.664999,20889000\n2006-04-03,19.186666,19.566668,18.946667,19.299999,17.862440,24222900\n2006-04-04,19.326666,20.233334,19.306667,20.203333,18.698492,30015300\n2006-04-05,20.166666,20.466667,19.736666,20.366667,18.849655,27824400\n2006-04-06,20.313334,20.559999,20.033333,20.406666,18.886679,19732800\n2006-04-07,20.320000,20.500000,19.953333,20.353333,18.837320,17066800\n2006-04-10,20.306667,20.426666,19.846666,20.000000,18.510302,15855700\n2006-04-11,20.066668,20.066668,19.393333,19.513334,18.059885,17551800\n2006-04-12,19.639999,20.406666,19.533333,20.299999,18.787958,14957700\n2006-04-13,19.866667,20.093334,19.653334,19.733334,18.263498,18459000\n2006-04-17,19.700001,20.280001,19.626667,19.786667,18.312860,11096700\n2006-04-18,19.433332,19.440001,18.793333,19.320000,17.880955,29137200\n2006-04-19,19.200001,19.653334,18.933332,19.440001,17.992018,12936900\n2006-04-20,19.266666,19.760000,18.946667,19.413334,17.967333,13817100\n2006-04-21,19.473333,19.553333,18.486666,18.713333,17.319469,19250400\n2006-04-24,18.833334,19.473333,18.500000,19.286667,17.850105,16921200\n2006-04-25,19.066668,19.320000,18.733334,19.273333,17.837765,17994100\n2006-04-26,19.346666,19.639999,18.933332,19.139999,17.714365,8263200\n2006-04-27,19.066668,19.626667,18.653334,19.446667,17.998186,11574100\n2006-04-28,19.459999,19.726667,19.293333,19.480000,18.029036,7118400\n2006-05-01,19.613333,20.980000,19.613333,20.600000,19.065613,22561800\n2006-05-02,20.753334,21.000000,20.219999,20.573334,19.040928,13492500\n2006-05-03,20.340000,20.933332,20.320000,20.706667,19.164333,9452800\n2006-05-04,20.299999,20.799999,20.193333,20.573334,19.040928,12778200\n2006-05-05,20.680000,20.926666,20.393333,20.853333,19.300072,8454600\n2006-05-08,20.799999,21.253334,20.566668,20.760000,19.213694,12590500\n2006-05-09,20.733334,20.840000,20.100000,20.126667,18.627539,14041200\n2006-05-10,19.886667,20.120001,19.480000,19.680000,18.214140,18831600\n2006-05-11,19.879999,20.066668,18.826666,18.980000,17.566278,30027700\n2006-05-12,18.526667,18.620001,17.160000,17.553333,16.245872,39204300\n2006-05-15,17.520000,17.959999,17.366667,17.806667,16.480341,13834500\n2006-05-16,17.906666,17.913334,17.226667,17.340000,16.048433,12438300\n2006-05-17,17.280001,17.379999,16.333334,16.639999,15.400569,21026800\n2006-05-18,16.773333,16.933332,15.866667,15.886666,14.703351,17168200\n2006-05-19,16.033333,16.600000,15.873333,16.219999,15.011855,23320200\n2006-05-22,16.133333,16.166666,15.560000,16.000000,14.808243,18372100\n2006-05-23,16.333334,16.713333,15.760000,15.826667,14.647819,13307800\n2006-05-24,15.966666,16.506666,15.606667,16.033333,14.839091,14488000\n2006-05-25,16.333334,16.573334,15.860000,15.946667,14.758883,10591600\n2006-05-26,16.006666,16.113333,15.813334,15.980000,14.789731,7366000\n2006-05-30,16.006666,16.013334,15.306666,15.313334,14.172724,11219700\n2006-05-31,15.520000,15.666667,15.226666,15.320000,14.178894,14960500\n2006-06-01,15.493333,16.120001,15.253333,16.120001,14.919306,13428100\n2006-06-02,16.379999,16.459999,15.726666,15.886666,14.703351,16842700\n2006-06-05,15.800000,16.093334,15.173333,15.220000,14.086342,14526300\n2006-06-06,15.413333,15.426666,14.400000,14.813334,13.709965,20603200\n2006-06-07,14.973333,15.000000,14.433333,14.546667,13.463160,14134500\n2006-06-08,14.380000,14.566667,13.706667,14.280000,13.216358,18264300\n2006-06-09,14.466666,14.713333,14.113334,14.233334,13.173166,10845600\n2006-06-12,13.986667,14.173333,13.366667,13.446667,12.445093,11580700\n2006-06-13,13.440000,13.713333,13.113334,13.240000,12.253820,13313700\n2006-06-14,13.320000,13.666667,13.180000,13.626667,12.611685,12012300\n2006-06-15,14.126667,14.866667,14.013333,14.820000,13.716134,20933400\n2006-06-16,14.720000,14.760000,14.300000,14.440000,13.364439,12586200\n2006-06-19,14.600000,14.673333,13.973333,14.006667,12.963384,9701100\n2006-06-20,13.620000,14.100000,13.566667,13.786667,12.759768,13395400\n2006-06-21,13.726666,14.160000,13.726666,13.940000,12.901680,11029300\n2006-06-22,14.093333,14.133333,13.440000,13.533334,12.525309,13308400\n2006-06-23,13.506667,13.820000,13.380000,13.540000,12.531474,8380000\n2006-06-26,13.520000,13.666667,13.346666,13.413333,12.414245,7043400\n2006-06-27,13.493333,13.506667,12.806666,12.986667,12.019357,15212800\n2006-06-28,13.086667,13.920000,12.746667,13.706667,12.685727,20834400\n2006-06-29,13.333333,14.326667,13.286667,14.326667,13.259547,17191600\n2006-06-30,14.466666,14.693334,14.086667,14.193334,13.136147,11706000\n2006-07-03,14.520000,14.533334,14.300000,14.400000,13.327418,4367400\n2006-07-05,14.173333,14.300000,13.753333,13.753333,12.728921,11492700\n2006-07-06,13.753333,13.886666,13.186666,13.326667,12.334032,11765800\n2006-07-07,13.420000,13.446667,12.766666,12.913333,11.951486,13530700\n2006-07-10,12.946667,13.040000,12.240000,12.353333,11.433196,11248000\n2006-07-11,12.313334,12.813334,12.133333,12.766666,11.815743,15014500\n2006-07-12,12.720000,12.866667,12.140000,12.153334,11.248095,11525800\n2006-07-13,11.966666,12.266666,11.780000,11.840000,10.958099,13514500\n2006-07-14,12.060000,12.126667,11.446667,11.780000,10.902568,14303700\n2006-07-17,11.726666,12.006667,11.666667,11.873333,10.988948,12570100\n2006-07-18,12.280000,12.646667,11.840000,12.520000,11.587451,24483300\n2006-07-19,12.466666,13.226666,12.373333,13.066667,12.093397,26388700\n2006-07-20,13.300000,13.533334,12.786667,12.806666,11.852763,12640000\n2006-07-21,12.373333,12.426666,11.753333,11.846666,10.964270,15847900\n2006-07-24,12.286667,13.340000,12.220000,13.040000,12.068719,24579400\n2006-07-25,13.200000,13.640000,13.006667,13.500000,12.494454,14352600\n2006-07-26,13.500000,13.660000,13.100000,13.500000,12.494454,12382900\n2006-07-27,13.673333,14.233334,13.446667,13.693334,12.673386,17358400\n2006-07-28,14.046667,15.140000,13.966666,15.113334,13.987619,20382400\n2006-07-31,14.953333,15.106667,14.720000,14.760000,13.660604,14869000\n2006-08-01,14.580000,14.606667,13.900000,14.166667,13.111465,15024100\n2006-08-02,14.480000,15.326667,14.446667,15.253333,14.117191,18919300\n2006-08-03,15.200000,16.626667,14.986667,16.213333,15.005680,22264200\n2006-08-04,16.639999,16.666666,15.580000,15.993333,14.802073,20455800\n2006-08-07,15.713333,16.006666,15.500000,15.806666,14.629309,10903600\n2006-08-08,15.933333,16.566668,15.893333,16.226667,15.018026,15495100\n2006-08-09,16.546667,17.000000,16.100000,16.219999,15.011855,14617600\n2006-08-10,16.040001,16.200001,15.766666,16.106667,14.906963,26803500\n2006-08-11,14.933333,16.006666,14.880000,15.600000,14.438037,40081800\n2006-08-14,15.793333,15.953333,15.433333,15.520000,14.363994,20235300\n2006-08-15,15.920000,17.100000,15.766666,17.013334,15.746097,22554300\n2006-08-16,17.106667,18.306667,16.666666,18.233334,16.875225,25731100\n2006-08-17,18.006666,18.480000,17.766666,17.946667,16.609909,20355600\n2006-08-18,17.966667,18.333334,17.340000,18.240000,16.881397,16647400\n2006-08-21,17.966667,18.000000,17.526667,17.566668,16.258219,12505500\n2006-08-22,17.513334,18.026667,17.500000,17.540001,16.233538,11848200\n2006-08-23,17.673334,17.853333,17.139999,17.526667,16.221195,12135300\n2006-08-24,17.573334,17.799999,17.293333,17.706667,16.387793,6520000\n2006-08-25,17.573334,17.966667,17.400000,17.653334,16.338427,5957800\n2006-08-28,17.946667,18.780001,17.913334,18.260000,16.899906,19114000\n2006-08-29,18.433332,19.173334,18.299999,19.086666,17.664999,18199000\n2006-08-30,19.193333,19.680000,19.146667,19.480000,18.029036,17039100\n2006-08-31,19.433332,19.520000,18.986666,19.406666,17.961163,12781900\n2006-09-01,19.120001,19.273333,18.520000,18.593334,17.208410,15143500\n2006-09-05,18.653334,19.073334,18.379999,19.000000,17.584789,13733800\n2006-09-06,18.666666,18.693333,18.000000,18.046667,16.702465,12339300\n2006-09-07,17.753334,18.813334,17.559999,18.406666,17.035648,18570900\n2006-09-08,18.700001,18.780001,18.059999,18.466667,17.091187,11199400\n2006-09-11,18.053333,18.966667,17.846666,18.753334,17.356493,14956600\n2006-09-12,18.666666,19.366667,18.620001,19.246666,17.813082,12460800\n2006-09-13,19.293333,19.653334,19.233334,19.400000,17.954996,11907100\n2006-09-14,19.306667,19.666666,19.073334,19.326666,17.887123,10720300\n2006-09-15,19.393333,19.799999,19.299999,19.706667,18.238821,16244100\n2006-09-18,19.760000,20.486666,19.700001,20.453333,18.929869,19847400\n2006-09-19,20.320000,20.466667,19.753334,19.920000,18.436260,17701300\n2006-09-20,20.180000,20.673334,20.139999,20.646667,19.108803,12797100\n2006-09-21,20.626667,20.833334,20.286667,20.480000,18.954550,13477600\n2006-09-22,20.420000,20.546667,19.646667,19.873333,18.393066,16333300\n2006-09-25,20.173334,20.673334,19.626667,20.586666,19.053270,17112100\n2006-09-26,20.566668,20.620001,19.893333,20.153334,18.652218,12903000\n2006-09-27,20.093334,20.733334,19.900000,20.093334,18.596684,14453500\n2006-09-28,19.306667,19.793333,19.219999,19.713333,18.244991,16183600\n2006-09-29,19.846666,20.000000,19.620001,19.726667,18.257334,9347200\n2006-10-02,19.633333,19.760000,19.066668,19.226667,17.794571,16186000\n2006-10-03,18.866667,19.013334,18.446667,18.866667,17.461386,22692300\n2006-10-04,18.893333,20.726667,18.840000,20.719999,19.176670,36509500\n2006-10-05,20.639999,20.846666,20.080000,20.133333,18.633699,16567000\n2006-10-06,20.166666,20.833334,20.106667,20.620001,19.084124,14840200\n2006-10-09,20.573334,22.219999,20.513334,21.946667,20.311975,23307600\n2006-10-10,21.833334,21.920000,21.200001,21.446667,19.849218,15616200\n2006-10-11,21.333334,21.946667,21.006666,21.566668,19.960276,12048600\n2006-10-12,21.686666,22.100000,21.340000,21.653334,20.040489,10368000\n2006-10-13,21.580000,22.639999,21.226667,22.513334,20.836430,14604700\n2006-10-16,22.586666,22.953333,22.073334,22.473333,20.799412,11974200\n2006-10-17,22.106667,22.260000,21.400000,21.613333,20.003466,13162600\n2006-10-18,21.933332,22.166666,20.886667,21.040001,19.472839,20568700\n2006-10-19,20.959999,21.600000,20.793333,21.440001,19.843042,11826000\n2006-10-20,21.606667,21.620001,20.886667,21.193333,19.614754,8986900\n2006-10-23,21.146667,21.660000,21.000000,21.053333,19.485178,7006200\n2006-10-24,21.093334,21.906666,21.033333,21.666666,20.052826,12982200\n2006-10-25,21.873333,22.200001,21.506666,21.866667,20.237932,9735900\n2006-10-26,21.920000,22.633333,21.920000,22.559999,20.879622,9167200\n2006-10-27,22.559999,23.059999,21.333334,21.586666,19.978786,14174700\n2006-10-30,21.733334,22.233334,21.500000,21.846666,20.219421,11989800\n2006-10-31,22.326666,23.246666,22.213333,23.246666,21.515141,24904300\n2006-11-01,22.940001,23.153334,21.133333,21.453333,19.855383,29413500\n2006-11-02,21.553333,22.020000,21.013334,21.306667,19.719639,21573600\n2006-11-03,21.546667,21.760000,21.200001,21.733334,20.114531,13701700\n2006-11-06,21.793333,22.693333,21.520000,22.393333,20.725363,18490000\n2006-11-07,22.559999,22.973333,22.433332,22.733334,21.040043,13831300\n2006-11-08,22.573334,23.346666,22.520000,23.066668,21.348547,16208100\n2006-11-09,23.540001,24.133333,23.326666,23.526667,21.774288,30193900\n2006-11-10,23.326666,23.440001,22.379999,22.959999,21.249823,32929800\n2006-11-13,23.006666,24.066668,23.000000,24.000000,22.212366,21307000\n2006-11-14,23.913334,24.286667,23.400000,24.240000,22.434484,15713200\n2006-11-15,24.166666,24.500000,23.706667,23.840000,22.064285,12297300\n2006-11-16,23.940001,24.233334,23.733334,24.146667,22.348104,11429500\n2006-11-17,23.980000,24.280001,23.833334,24.213333,22.409807,9040200\n2006-11-20,23.913334,24.573334,23.733334,24.440001,22.619589,15215800\n2006-11-21,24.513334,24.553333,23.893333,24.059999,22.267895,9684600\n2006-11-22,24.146667,24.500000,24.020000,24.473333,22.650444,6006400\n2006-11-24,24.353333,24.706667,24.133333,24.653334,22.817036,3608400\n2006-11-27,24.506666,24.833334,23.373333,23.540001,21.786627,14632300\n2006-11-28,23.459999,24.193333,23.093334,23.980000,22.193855,12024100\n2006-11-29,24.200001,24.626667,24.106667,24.333334,22.520872,14494800\n2006-11-30,24.333334,24.860001,24.040001,24.660000,22.823200,14590800\n2006-12-01,24.386667,24.420000,23.480000,23.693333,21.928539,19625200\n2006-12-04,24.000000,24.959999,23.913334,24.653334,22.817036,15539200\n2006-12-05,24.393333,24.540001,24.126667,24.400000,22.582567,16583800\n2006-12-06,24.480000,24.480000,24.033333,24.366667,22.551718,11956000\n2006-12-07,24.366667,24.500000,23.566668,23.780001,22.008749,12172300\n2006-12-08,23.606667,24.026667,23.266666,23.700001,21.934710,14121400\n2006-12-11,23.706667,24.393333,23.653334,24.106667,22.311090,12887100\n2006-12-12,23.926666,24.006666,23.540001,23.860001,22.082792,14202900\n2006-12-13,24.053333,24.333334,24.053333,24.139999,22.341932,12298800\n2006-12-14,24.333334,24.873333,24.313334,24.566668,22.736820,17884500\n2006-12-15,24.726667,25.000000,24.573334,25.000000,23.137877,18652300\n2006-12-18,25.026667,25.733334,25.013334,25.433332,23.538937,17208900\n2006-12-19,25.106667,25.933332,25.073334,25.799999,23.878292,13640500\n2006-12-20,25.666666,25.973333,25.486666,25.506666,23.606812,7664800\n2006-12-21,25.646667,25.719999,25.000000,25.286667,23.403196,9198000\n2006-12-22,25.246666,25.333334,24.566668,24.686666,22.847885,9254200\n2006-12-26,24.820000,25.040001,24.580000,24.680000,22.841715,5704800\n2006-12-27,24.786667,25.093334,24.786667,25.006666,23.144049,6623800\n2006-12-28,25.033333,25.059999,24.713333,24.826666,22.977455,5347800\n2006-12-29,24.826666,25.346666,24.646667,24.673334,22.835548,9652300\n2007-01-03,24.713333,25.013334,23.193333,24.053333,22.261728,28870500\n2007-01-04,23.966667,24.053333,23.353333,23.940001,22.156837,19932400\n2007-01-05,23.373333,23.466667,22.280001,22.440001,20.768562,31083600\n2007-01-08,22.520000,23.040001,22.133333,22.606667,20.922813,16431700\n2007-01-09,22.639999,22.793333,22.139999,22.166666,20.515587,19104100\n2007-01-10,21.933332,23.466667,21.600000,23.260000,21.527485,27718600\n2007-01-11,23.260000,23.440001,22.793333,23.173334,21.447273,23112600\n2007-01-12,22.826666,23.580000,22.719999,23.486666,21.737265,17454700\n2007-01-16,23.666666,23.680000,23.260000,23.526667,21.774288,17796600\n2007-01-17,23.200001,23.340000,22.946667,23.033333,21.317699,17698300\n2007-01-18,22.833334,22.833334,20.840000,21.126667,19.553049,37540900\n2007-01-19,20.900000,21.693333,20.753334,21.253334,19.670282,23565100\n2007-01-22,21.453333,21.799999,21.173334,21.253334,19.670282,18266100\n2007-01-23,21.153334,21.600000,20.760000,21.260000,19.676455,15758800\n2007-01-24,21.533333,22.206667,21.433332,21.920000,20.287294,17143000\n2007-01-25,22.120001,22.200001,21.046667,21.153334,19.577732,15407100\n2007-01-26,21.333334,21.540001,20.600000,20.980000,19.417307,20739600\n2007-01-29,20.886667,20.900000,19.940001,20.120001,18.621368,31457100\n2007-01-30,20.253334,20.639999,20.073334,20.506666,18.979227,15904300\n2007-01-31,20.406666,20.626667,20.153334,20.433332,18.911362,11699400\n2007-02-01,20.240000,20.799999,20.200001,20.693333,19.151989,16272400\n2007-02-02,20.806667,21.333334,20.633333,21.233334,19.651770,14664700\n2007-02-05,21.333334,21.760000,21.299999,21.580000,19.972612,14497600\n2007-02-06,22.066668,22.626667,21.740000,22.346666,20.682180,19384600\n2007-02-07,22.526667,23.273333,22.393333,23.219999,21.490459,19026400\n2007-02-08,22.866667,23.246666,22.666666,22.920000,21.212803,18156900\n2007-02-09,23.033333,23.226667,21.680000,21.766666,20.145384,23448900\n2007-02-12,21.926666,22.719999,21.693333,22.246666,20.589626,19734000\n2007-02-13,22.606667,22.846666,22.379999,22.666666,20.978340,21243300\n2007-02-14,22.866667,23.000000,22.313334,22.366667,20.700691,27046200\n2007-02-15,22.353333,22.613333,22.139999,22.500000,20.824089,12217000\n2007-02-16,22.406666,22.433332,21.746666,21.813334,20.188572,22876500\n2007-02-20,21.846666,22.126667,21.693333,22.006666,20.367502,15639400\n2007-02-21,21.826666,22.059999,21.459999,21.680000,20.065166,16383300\n2007-02-22,22.020000,22.373333,21.766666,21.820000,20.194742,16386300\n2007-02-23,22.026667,22.040001,21.760000,21.766666,20.145384,10076200\n2007-02-26,21.826666,21.993334,21.400000,21.433332,19.836874,12351700\n2007-02-27,21.200001,21.700001,20.753334,20.786667,19.238379,17865700\n2007-02-28,20.726667,21.113333,20.473333,20.666666,19.127317,19501200\n2007-03-01,20.219999,20.793333,19.953333,20.413334,18.892847,20930700\n2007-03-02,20.233334,20.480000,19.806667,19.846666,18.368387,17068200\n2007-03-05,19.500000,19.886667,19.106667,19.173334,17.745213,16588900\n2007-03-06,19.593334,20.526667,19.513334,20.306667,18.794128,20149300\n2007-03-07,20.206667,20.299999,19.646667,19.733334,18.263498,20291400\n2007-03-08,20.146667,20.773333,20.133333,20.546667,19.016249,19265500\n2007-03-09,20.833334,21.066668,20.106667,20.340000,18.824976,13882600\n2007-03-12,20.106667,20.513334,20.080000,20.219999,18.713917,10700200\n2007-03-13,20.013334,20.133333,19.353333,19.366667,17.924143,15426700\n2007-03-14,19.420000,19.533333,18.693333,19.273333,17.837765,24290200\n2007-03-15,19.226667,19.400000,18.786667,19.080000,17.658825,16393800\n2007-03-16,19.093334,19.126667,18.766666,18.900000,17.492239,13141200\n2007-03-19,19.000000,19.299999,18.933332,18.993334,17.578619,11537700\n2007-03-20,18.933332,19.366667,18.826666,18.900000,17.492239,16412200\n2007-03-21,19.666666,20.293333,19.293333,19.980000,18.491789,31709400\n2007-03-22,20.000000,20.540001,19.906666,20.420000,18.899019,20273800\n2007-03-23,20.266666,20.626667,20.046667,20.193333,18.689236,13116000\n2007-03-26,20.206667,20.400000,19.866667,20.233334,18.726255,11183400\n2007-03-27,20.186666,20.226667,19.833334,19.853333,18.374561,11725500\n2007-03-28,19.686666,19.853333,19.440001,19.473333,18.022863,11487600\n2007-03-29,19.766666,19.793333,18.820000,19.133333,17.708191,17975400\n2007-03-30,19.393333,19.533333,19.086666,19.186666,17.757547,14531100\n2007-04-02,19.139999,19.299999,18.853333,19.166666,17.739037,10020700\n2007-04-03,19.166666,19.379999,18.913334,19.093334,17.671169,11843100\n2007-04-04,19.066668,19.219999,19.000000,19.053333,17.634150,9042300\n2007-04-05,19.133333,20.620001,19.133333,20.600000,19.065613,33322500\n2007-04-09,20.600000,20.833334,20.186666,20.226667,18.720093,16023700\n2007-04-10,20.200001,20.433332,19.980000,20.020000,18.528816,19855500\n2007-04-11,20.059999,20.260000,19.593334,19.660000,18.195627,20253700\n2007-04-12,19.553333,20.280001,19.426666,20.219999,18.713917,18591000\n2007-04-13,20.153334,20.426666,19.906666,20.386667,18.868170,15967300\n2007-04-16,20.333334,20.486666,20.020000,20.280001,18.769444,16795900\n2007-04-17,20.793333,21.266666,20.373333,20.473333,18.948380,26477700\n2007-04-18,20.440001,20.906666,20.333334,20.726667,19.182840,17095000\n2007-04-19,20.559999,21.133333,20.500000,21.013334,19.448162,14201400\n2007-04-20,21.320000,21.333334,20.980000,21.260000,19.676455,14751300\n2007-04-23,21.160000,21.200001,20.853333,20.913334,19.355606,14881800\n2007-04-24,21.266666,21.893333,21.126667,21.700001,20.083681,25702200\n2007-04-25,21.666666,22.193333,21.566668,22.073334,20.429199,12741000\n2007-04-26,22.073334,22.513334,21.873333,22.346666,20.682180,12501700\n2007-04-27,22.273333,22.520000,21.693333,22.046667,20.404524,13851400\n2007-04-30,22.346666,22.626667,21.920000,21.926666,20.293461,14084700\n2007-05-01,22.326666,22.473333,21.980000,22.160000,20.509415,13613800\n2007-05-02,22.273333,22.366667,21.786667,21.900000,20.268782,16491400\n2007-05-03,22.106667,22.459999,22.066668,22.313334,20.651331,12506200\n2007-05-04,22.433332,22.586666,22.219999,22.473333,20.799412,10131100\n2007-05-07,22.799999,23.053333,22.000000,22.026667,20.386017,13927500\n2007-05-08,21.893333,22.246666,21.466667,22.193333,20.540264,18427500\n2007-05-09,22.033333,22.420000,21.780001,22.293333,20.632811,10446700\n2007-05-10,22.386667,22.680000,21.686666,21.879999,20.250271,20064600\n2007-05-11,23.059999,23.653334,22.706667,23.426666,21.681732,38265700\n2007-05-14,23.333334,23.553333,22.973333,23.193333,21.465778,18289200\n2007-05-15,23.260000,23.400000,22.933332,22.986666,21.274508,15534000\n2007-05-16,23.006666,23.280001,22.566668,23.280001,21.545996,13077600\n2007-05-17,23.213333,23.333334,22.760000,22.893333,21.188129,11091600\n2007-05-18,23.066668,23.413334,22.873333,23.346666,21.607698,15106600\n2007-05-21,23.280001,24.000000,23.166666,23.420000,21.675570,16144200\n2007-05-22,23.440001,23.760000,23.059999,23.546667,21.792795,10043400\n2007-05-23,23.559999,23.700001,22.853333,22.920000,21.212803,11206200\n2007-05-24,23.026667,23.093334,22.000000,22.093334,20.447718,15195000\n2007-05-25,22.253334,22.553333,22.186666,22.440001,20.768562,7724400\n2007-05-29,22.346666,22.753334,22.280001,22.680000,20.990686,7906000\n2007-05-30,22.413334,22.733334,22.133333,22.733334,21.040043,8291200\n2007-05-31,22.900000,23.233334,22.793333,23.093334,21.373234,12039300\n2007-06-01,23.353333,23.700001,23.213333,23.253334,21.521315,10727100\n2007-06-04,23.040001,23.513334,22.946667,23.379999,21.638540,8050000\n2007-06-05,23.446667,24.113333,23.406666,24.073334,22.280233,17464600\n2007-06-06,23.906666,24.639999,23.806667,24.253334,22.446831,23768400\n2007-06-07,24.139999,24.500000,23.986666,23.993334,22.206194,19796500\n2007-06-08,23.793333,24.400000,23.500000,24.366667,22.551718,13331700\n2007-06-11,24.366667,24.600000,24.233334,24.453333,22.631927,10865800\n2007-06-12,24.326666,24.666666,24.186666,24.200001,22.397467,13169200\n2007-06-13,24.466667,24.786667,24.153334,24.780001,22.934269,14680800\n2007-06-14,24.666666,25.313334,24.633333,25.219999,23.341492,12713700\n2007-06-15,25.506666,26.566668,25.500000,26.366667,24.402748,27049900\n2007-06-18,26.633333,26.726667,26.166666,26.379999,24.415089,17141500\n2007-06-19,26.213333,26.606667,26.033333,26.546667,24.569338,12298800\n2007-06-20,26.666666,26.799999,26.393333,26.573334,24.594023,20569800\n2007-06-21,27.086666,28.886667,26.879999,28.653334,26.519094,32433100\n2007-06-22,28.666666,29.246666,28.233334,29.080000,26.913984,22065400\n2007-06-25,28.266666,28.959999,28.006666,28.313334,26.204422,20492500\n2007-06-26,28.240000,28.320000,26.933332,27.000000,24.988909,21712000\n2007-06-27,27.000000,27.760000,26.866667,27.726667,25.661451,15328500\n2007-06-28,27.806667,28.293333,27.533333,27.993334,25.908258,14938300\n2007-06-29,28.180000,28.186666,27.526667,27.540001,25.488688,12914200\n2007-07-02,27.933332,28.700001,27.846666,28.686666,26.549942,14096200\n2007-07-03,28.666666,28.959999,28.433332,28.733334,26.593134,5969200\n2007-07-05,28.740000,29.133333,28.600000,29.040001,26.876961,9332200\n2007-07-06,29.000000,29.293333,28.946667,29.180000,27.006531,7068000\n2007-07-09,29.286667,30.166666,29.280001,30.026667,27.790138,13419600\n2007-07-10,29.873333,30.500000,29.553333,30.320000,28.061621,13816300\n2007-07-11,30.313334,30.520000,29.766666,30.186666,27.938221,14565300\n2007-07-12,30.400000,30.799999,30.186666,30.766666,28.475014,10968300\n2007-07-13,30.680000,31.046667,30.546667,30.580000,28.302254,9315700\n2007-07-16,30.606667,31.260000,30.600000,31.133333,28.814375,13542700\n2007-07-17,31.260000,31.886667,30.973333,31.000000,28.690969,16095300\n2007-07-18,30.553333,30.646667,29.833334,30.433332,28.166508,13766400\n2007-07-19,30.866667,31.020000,30.186666,30.400000,28.135658,10184400\n2007-07-20,30.600000,30.706667,29.920000,30.066668,27.827160,12641200\n2007-07-23,29.959999,30.986666,29.893333,30.366667,28.104807,9011800\n2007-07-24,30.246666,30.500000,29.379999,29.566668,27.364401,11439000\n2007-07-25,29.573334,29.993334,28.746666,29.426666,27.234827,10929900\n2007-07-26,29.113333,29.986666,28.719999,29.573334,27.370569,17756700\n2007-07-27,29.500000,30.860001,29.486666,29.500000,27.302696,15387000\n2007-07-30,29.606667,30.373333,29.600000,30.326666,28.067789,13453900\n2007-07-31,31.526667,31.953333,30.466667,30.506666,28.234383,17787300\n2007-08-01,30.066668,30.806667,28.866667,30.280001,28.024597,17645700\n2007-08-02,30.626667,30.653334,29.740000,30.146667,27.901197,11715100\n2007-08-03,30.046667,30.266666,28.346666,28.360001,26.247610,15585300\n2007-08-06,28.600000,28.813334,27.799999,28.600000,26.469730,13118100\n2007-08-07,28.600000,29.526667,28.219999,29.053333,26.889301,14144100\n2007-08-08,29.580000,31.299999,29.353333,30.393333,28.129488,16518600\n2007-08-09,30.600000,31.600000,29.900000,30.753334,28.462675,31295800\n2007-08-10,28.233334,29.526667,27.593334,29.326666,27.142271,28525300\n2007-08-13,29.559999,29.760000,28.400000,29.006666,26.846111,17510200\n2007-08-14,29.206667,30.600000,29.120001,30.133333,27.888857,27304300\n2007-08-15,29.973333,30.400000,28.820000,28.860001,26.710367,17378500\n2007-08-16,28.573334,28.780001,27.000000,28.379999,26.266119,19500700\n2007-08-17,29.166666,30.080000,28.260000,30.053333,27.814814,18217800\n2007-08-20,30.073334,30.400000,29.566668,29.933332,27.703754,12992100\n2007-08-21,30.113333,31.793333,29.666666,31.553333,29.203089,17883400\n2007-08-22,32.353333,32.459999,31.700001,32.273335,29.869459,14153800\n2007-08-23,32.426666,32.806667,31.860001,32.000000,29.616486,16699600\n2007-08-24,31.906666,32.226665,31.673334,32.166668,29.770739,9041100\n2007-08-27,32.166668,33.233334,32.020000,32.893333,30.443283,15898600\n2007-08-28,33.000000,33.133335,30.813334,30.886667,28.586077,14000500\n2007-08-29,31.533333,32.680000,31.466667,32.639999,30.208818,13464000\n2007-08-30,32.326668,33.259998,32.313332,32.453335,30.036053,11641500\n2007-08-31,33.133335,34.233334,32.953335,34.106667,31.566244,18020800\n2007-09-04,34.259998,35.306667,33.726665,35.160000,32.541119,17081700\n2007-09-05,35.006668,36.000000,34.866665,34.893333,32.294312,16406800\n2007-09-06,35.326668,35.646667,34.900002,35.046665,32.436222,10637400\n2007-09-07,34.073334,34.426666,33.113335,33.766666,31.251554,15057600\n2007-09-10,34.500000,35.099998,33.580002,33.860001,31.337944,21802800\n2007-09-11,34.270000,34.840000,33.910000,34.580002,32.004322,10135600\n2007-09-12,34.950001,35.119999,32.880001,33.220001,30.745615,13861300\n2007-09-13,33.849998,33.889999,32.990002,33.230000,30.754866,11321600\n2007-09-14,32.900002,32.939999,32.150002,32.250000,29.847864,12182700\n2007-09-17,32.299999,32.639999,31.830000,32.180000,29.783079,9370700\n2007-09-18,32.520000,35.500000,32.470001,35.000000,32.393028,21118500\n2007-09-19,35.320000,36.000000,34.020000,34.360001,31.800695,13034000\n2007-09-20,34.380001,34.750000,33.779999,34.160000,31.615599,8104300\n2007-09-21,34.500000,35.000000,34.160000,34.490002,31.921015,11438300\n2007-09-24,34.700001,35.900002,34.450001,35.369999,32.735474,11409000\n2007-09-25,35.160000,35.970001,35.060001,35.820000,33.151951,9018700\n2007-09-26,36.000000,36.750000,35.910000,36.669998,33.938637,12950800\n2007-09-27,37.020000,37.200001,36.389999,36.779999,34.040443,9457000\n2007-09-28,37.000000,37.130001,36.160000,36.240002,33.540680,10107300\n2007-10-01,36.549999,37.950001,36.509998,37.770000,34.956703,9955000\n2007-10-02,37.680000,37.750000,36.860001,37.410000,34.623516,7124000\n2007-10-03,36.750000,36.750000,35.230000,35.820000,33.151951,11679900\n2007-10-04,35.779999,36.189999,34.750000,35.980000,33.300037,9474400\n2007-10-05,36.549999,37.130001,36.160000,36.930000,34.179276,8621000\n2007-10-08,37.189999,37.590000,36.750000,37.529999,34.734581,6312100\n2007-10-09,37.529999,37.700001,36.320000,36.869999,34.123737,10075200\n2007-10-10,37.119999,37.119999,36.020000,36.910000,34.160778,9728400\n2007-10-11,36.570000,37.029999,34.869999,35.270000,32.642914,13227600\n2007-10-12,35.660000,36.130001,35.110001,36.130001,33.438854,10248800\n2007-10-15,36.250000,36.860001,36.080002,36.389999,33.679497,8897500\n2007-10-16,36.349998,37.369999,36.220001,36.720001,33.984913,6909000\n2007-10-17,38.150002,39.650002,38.110001,39.540001,36.594883,17948600\n2007-10-18,39.410000,39.669998,38.419998,39.509998,36.567104,8515500\n2007-10-19,39.419998,39.439999,37.380001,37.389999,34.605000,12644200\n2007-10-22,37.150002,39.240002,36.849998,39.160000,36.243172,13441400\n2007-10-23,39.669998,39.669998,38.279999,39.349998,36.419018,7357300\n2007-10-24,38.500000,38.500000,36.150002,38.020000,35.188091,14137500\n2007-10-25,36.849998,37.200001,33.590000,34.700001,32.115383,20154800\n2007-10-26,35.799999,36.040001,33.900002,34.400002,31.837725,15414500\n2007-10-29,33.220001,33.750000,32.560001,33.590000,31.088053,20347400\n2007-10-30,33.860001,35.529999,33.299999,34.820000,32.226440,13130300\n2007-10-31,35.029999,35.400002,33.939999,35.380001,32.744732,11379700\n2007-11-01,34.830002,36.090000,34.349998,35.380001,32.744732,14680900\n2007-11-02,35.869999,37.000000,35.369999,36.740002,34.003422,12296100\n2007-11-05,36.430000,37.619999,36.200001,36.740002,34.003422,10915900\n2007-11-06,37.090000,38.200001,36.919998,37.900002,35.077026,13865500\n2007-11-07,37.880001,38.029999,35.799999,36.099998,33.411098,13669200\n2007-11-08,35.750000,36.400002,32.810001,33.840000,31.319435,24920600\n2007-11-09,34.549999,34.799999,32.650002,33.360001,30.875193,21776400\n2007-11-12,33.349998,33.590000,30.030001,30.030001,27.793217,17893300\n2007-11-13,30.520000,32.709999,30.030001,32.680000,30.245836,18167400\n2007-11-14,33.509998,33.830002,32.000000,32.169998,29.773821,16668000\n2007-11-15,31.959999,32.259998,31.000000,31.740000,29.375851,12410900\n2007-11-16,32.000000,32.540001,31.740000,32.450001,30.032969,10589800\n2007-11-19,31.990000,32.150002,30.090000,30.260000,28.006086,14210300\n2007-11-20,30.830000,30.879999,29.110001,30.030001,27.793217,15565700\n2007-11-21,29.400000,30.420000,29.309999,29.709999,27.497055,16211300\n2007-11-23,29.920000,30.350000,29.540001,30.219999,27.969067,3549400\n2007-11-26,30.200001,30.820000,29.459999,29.520000,27.321207,9647400\n2007-11-27,29.940001,30.879999,29.709999,30.790001,28.496613,11471400\n2007-11-28,31.760000,33.290001,31.610001,32.849998,30.403172,14363700\n2007-11-29,32.799999,34.099998,32.660000,33.119999,30.653063,12227100\n2007-11-30,34.200001,34.200001,31.440001,31.540001,29.190750,16316400\n2007-12-03,32.000000,32.590000,31.510000,32.000000,29.616486,12267200\n2007-12-04,32.139999,32.250000,31.350000,31.969999,29.588720,9292800\n2007-12-05,33.189999,34.250000,32.779999,33.630001,31.125072,16667600\n2007-12-06,33.549999,34.419998,33.250000,34.310001,31.754421,9278800\n2007-12-07,34.450001,34.490002,33.529999,33.880001,31.356447,8007300\n2007-12-10,33.990002,34.650002,33.889999,34.250000,31.698889,8409000\n2007-12-11,34.980000,35.619999,34.209999,34.290001,31.735918,14560900\n2007-12-12,35.740002,36.090000,34.779999,35.470001,32.828026,15437600\n2007-12-13,35.040001,35.270000,33.480000,34.500000,31.930283,12509100\n2007-12-14,34.340000,35.450001,34.110001,35.070000,32.457817,8850400\n2007-12-17,34.700001,35.029999,33.200001,33.279999,30.801138,12685200\n2007-12-18,33.790001,34.500000,33.450001,34.130001,31.587835,9922400\n2007-12-19,34.009998,34.770000,33.869999,34.450001,31.884001,6338400\n2007-12-20,35.000000,35.250000,34.270000,35.169998,32.550365,6998500\n2007-12-21,35.590000,35.900002,34.840000,35.160000,32.541119,10835200\n2007-12-24,35.419998,35.950001,35.160000,35.779999,33.114941,2600200\n2007-12-26,35.849998,36.259998,35.500000,36.259998,33.559174,5383500\n2007-12-27,36.200001,36.400002,35.049999,35.139999,32.522606,6034200\n2007-12-28,35.080002,35.500000,34.490002,34.790001,32.198673,6551600\n2007-12-31,34.509998,35.139999,34.009998,34.020000,31.486027,6905900\n2008-01-02,34.119999,34.250000,32.560001,33.009998,30.551252,12099100\n2008-01-03,33.200001,33.860001,32.630001,32.750000,30.310623,11882700\n2008-01-04,31.770000,31.930000,29.799999,30.000000,27.765457,18402300\n2008-01-07,30.200001,30.450001,26.350000,26.900000,24.896360,25170000\n2008-01-08,27.049999,29.290001,26.420000,27.469999,25.423901,27673900\n2008-01-09,27.840000,28.900000,27.430000,28.889999,26.738134,18525900\n2008-01-10,28.100000,28.740000,27.730000,28.290001,26.182819,13860800\n2008-01-11,27.620001,28.200001,26.850000,27.049999,25.035185,14315300\n2008-01-14,27.450001,28.889999,27.010000,28.850000,26.701115,13479700\n2008-01-15,27.750000,28.080000,26.260000,26.730000,24.739016,18142300\n2008-01-16,25.049999,25.360001,23.160000,23.709999,21.943970,36611800\n2008-01-17,24.080000,24.719999,23.240000,23.299999,21.564501,28347500\n2008-01-18,23.370001,24.969999,22.520000,24.840000,22.989794,23010700\n2008-01-22,22.469999,24.180000,22.330000,23.600000,21.842157,17727300\n2008-01-23,22.639999,24.740000,22.420000,24.030001,22.240126,23247000\n2008-01-24,24.500000,25.879999,24.270000,25.870001,23.943081,14927300\n2008-01-25,26.860001,27.459999,24.830000,24.950001,23.091604,17200300\n2008-01-28,24.860001,25.110001,24.120001,24.650000,22.813946,14440200\n2008-01-29,25.090000,25.510000,24.440001,25.410000,23.517345,10362100\n2008-01-30,25.000000,25.570000,24.469999,25.190001,23.313725,13261900\n2008-01-31,24.639999,25.049999,23.830000,24.590000,22.758421,14717700\n2008-02-01,24.540001,27.000000,24.330000,26.860001,24.859343,14827600\n2008-02-04,27.440001,27.590000,25.879999,26.020000,24.081909,14128200\n2008-02-05,25.500000,25.510000,24.379999,24.389999,22.573315,12373200\n2008-02-06,24.650000,25.330000,23.860001,24.309999,22.499277,13934500\n2008-02-07,23.610001,25.240000,23.100000,24.549999,22.721399,16603200\n2008-02-08,24.320000,25.180000,24.000000,24.990000,23.128624,9848300\n2008-02-11,25.200001,25.610001,24.900000,25.070000,23.202663,12593300\n2008-02-12,25.450001,26.360001,25.309999,26.000000,24.063395,15242200\n2008-02-13,26.200001,27.100000,25.920000,27.020000,25.007423,18557800\n2008-02-14,26.230000,26.250000,22.549999,22.610001,20.925894,54607400\n2008-02-15,22.520000,23.129999,21.910000,22.270000,20.611221,20434100\n2008-02-19,22.680000,22.719999,21.750000,21.940001,20.305799,13965200\n2008-02-20,21.299999,22.100000,21.209999,21.780001,20.157722,18975400\n2008-02-21,22.000000,22.110001,21.160000,21.290001,19.704216,16106800\n2008-02-22,21.459999,22.360001,21.299999,22.320000,20.657497,18076300\n2008-02-25,22.299999,22.559999,21.719999,22.309999,20.648235,16794600\n2008-02-26,22.180000,22.840000,21.840000,22.500000,20.824089,14135500\n2008-02-27,22.389999,23.030001,22.250000,22.850000,21.148024,13445400\n2008-02-28,22.650000,22.690001,21.990000,21.990000,20.352079,12590200\n2008-02-29,21.629999,21.920000,21.299999,21.389999,19.796770,13514400\n2008-03-03,21.360001,21.510000,20.860001,21.139999,19.565390,11225700\n2008-03-04,21.000000,21.040001,20.110001,20.930000,19.371033,19472200\n2008-03-05,21.129999,21.670000,20.910000,21.170000,19.593159,16116400\n2008-03-06,20.910000,21.049999,19.809999,19.840000,18.362219,26882100\n2008-03-07,19.480000,20.320000,19.000000,19.549999,18.093821,19187500\n2008-03-10,19.309999,19.549999,18.400000,18.430000,17.057243,19402500\n2008-03-11,19.000000,19.230000,18.240000,19.040001,17.621805,21448500\n2008-03-12,19.219999,19.389999,18.360001,18.520000,17.140541,18583000\n2008-03-13,18.230000,19.980000,18.120001,19.700001,18.232649,30513200\n2008-03-14,19.799999,19.820000,18.180000,18.320000,16.955439,28874300\n2008-03-17,17.520000,18.480000,17.309999,17.860001,16.529703,20023800\n2008-03-18,18.280001,19.000000,17.760000,18.969999,17.557016,26881400\n2008-03-19,18.530001,18.790001,17.660000,17.660000,16.344597,22011900\n2008-03-20,17.870001,18.559999,17.549999,18.520000,17.140541,15836500\n2008-03-24,18.930000,20.139999,18.860001,20.030001,18.538071,22186000\n2008-03-25,20.120001,20.700001,19.930000,20.320000,18.806469,18384700\n2008-03-26,20.049999,20.190001,19.450001,19.670000,18.204885,18041300\n2008-03-27,19.370001,19.920000,19.070000,19.389999,17.945732,15032700\n2008-03-28,19.740000,20.190001,19.540001,19.680000,18.214140,14044700\n2008-03-31,19.889999,20.260000,19.540001,19.790001,18.315941,14249800\n2008-04-01,20.379999,21.049999,20.090000,21.000000,19.435820,16921800\n2008-04-02,21.059999,21.059999,20.200001,20.360001,18.843487,15413400\n2008-04-03,20.190001,20.219999,19.389999,19.980000,18.491789,21049600\n2008-04-04,19.580000,19.680000,18.730000,18.780001,17.381182,38388200\n2008-04-07,19.240000,19.520000,19.080000,19.230000,17.797657,18237400\n2008-04-08,19.000000,19.740000,19.000000,19.120001,17.695854,15986900\n2008-04-09,19.340000,19.700001,19.160000,19.500000,18.047544,16880800\n2008-04-10,19.709999,20.510000,19.290001,19.879999,18.399239,27304600\n2008-04-11,19.500000,19.620001,18.410000,18.530001,17.149796,27657000\n2008-04-14,18.459999,18.500000,17.799999,17.910000,16.575975,19500100\n2008-04-15,18.000000,18.190001,17.610001,18.120001,16.770340,10997900\n2008-04-16,18.809999,19.080000,18.480000,18.840000,17.436707,16170900\n2008-04-17,17.969999,18.650000,17.959999,18.580000,17.196070,14924200\n2008-04-18,19.150000,19.320000,18.760000,19.020000,17.603296,14338500\n2008-04-21,18.870001,20.000000,18.870001,19.870001,18.389984,16997300\n2008-04-22,19.510000,19.719999,19.080000,19.500000,18.047544,14691700\n2008-04-23,19.770000,20.660000,19.510000,20.440001,18.917532,25512400\n2008-04-24,20.559999,20.660000,19.650000,19.950001,18.464027,16394100\n2008-04-25,20.139999,20.200001,19.510000,20.150000,18.649128,13805200\n2008-04-28,20.059999,20.360001,19.709999,19.790001,18.315941,13392500\n2008-04-29,19.570000,20.450001,19.570000,20.200001,18.695410,14335200\n2008-04-30,20.440001,20.770000,20.299999,20.549999,19.019335,26708000\n2008-05-01,20.799999,21.549999,20.700001,21.500000,19.898571,25365600\n2008-05-02,22.090000,22.520000,21.760000,22.520000,20.842598,28275400\n2008-05-05,22.370001,22.469999,21.910000,21.959999,20.324314,23584800\n2008-05-06,21.900000,22.580000,21.559999,22.530001,20.851856,18225900\n2008-05-07,22.590000,22.889999,21.820000,22.010000,20.370594,17890800\n2008-05-08,22.180000,22.250000,21.010000,21.950001,20.315060,34000000\n2008-05-09,22.010000,23.430000,21.969999,22.530001,20.851856,50758800\n2008-05-12,22.820000,22.820000,21.670000,21.889999,20.259523,25166300\n2008-05-13,22.000000,22.000000,21.280001,21.440001,19.843042,21352700\n2008-05-14,21.709999,22.639999,21.440001,22.070000,20.426119,18778700\n2008-05-15,22.020000,23.879999,21.920000,23.780001,22.008749,29136600\n2008-05-16,24.180000,24.459999,23.629999,24.410000,22.591824,27288900\n2008-05-19,24.420000,25.309999,23.730000,23.900000,22.119810,28963300\n2008-05-20,23.250000,23.520000,23.010000,23.280001,21.545996,19285100\n2008-05-21,23.340000,24.240000,23.040001,23.090000,21.370148,26666500\n2008-05-22,23.420000,23.840000,23.049999,23.650000,21.888437,17327700\n2008-05-23,23.610001,23.799999,22.770000,23.110001,21.388655,20066800\n2008-05-27,23.150000,23.389999,22.709999,23.360001,21.620035,20821400\n2008-05-28,24.000000,24.059999,23.309999,23.580000,21.823645,18793400\n2008-05-29,23.590000,23.629999,23.090000,23.520000,21.768116,17336500\n2008-05-30,24.190001,24.780001,24.120001,24.700001,22.860229,20756100\n2008-06-02,24.700001,24.990000,24.430000,24.799999,22.952778,18366500\n2008-06-03,24.879999,24.920000,23.670000,23.959999,22.175343,21017400\n2008-06-04,23.430000,24.290001,23.299999,24.240000,22.434484,20793100\n2008-06-05,25.080000,25.350000,24.570000,24.850000,22.999048,20696500\n2008-06-06,24.549999,24.580000,23.920000,24.059999,22.267895,19621900\n2008-06-09,23.920000,24.250000,23.209999,23.690001,21.925455,15947900\n2008-06-10,23.049999,23.080000,22.139999,22.290001,20.629730,30630200\n2008-06-11,22.290001,22.830000,21.219999,21.250000,19.667194,24985700\n2008-06-12,21.730000,22.150000,21.200001,21.379999,19.787516,20649800\n2008-06-13,21.410000,21.660000,20.680000,21.309999,19.722723,17643700\n2008-06-16,21.080000,21.280001,20.850000,21.020000,19.454330,15762400\n2008-06-17,21.320000,21.330000,20.459999,20.510000,18.982315,17197800\n2008-06-18,20.299999,21.000000,19.580000,19.910000,18.427010,26631800\n2008-06-19,20.020000,20.299999,19.379999,19.860001,18.380733,19623200\n2008-06-20,19.420000,19.980000,19.410000,19.760000,18.288177,18525200\n2008-06-23,19.910000,19.930000,19.180000,19.350000,17.908716,19415400\n2008-06-24,19.240000,20.450001,19.240000,19.990000,18.501047,26973200\n2008-06-25,20.299999,20.450001,19.780001,20.100000,18.602858,22524400\n2008-06-26,19.500000,19.650000,19.070000,19.070000,17.649570,21138300\n2008-06-27,19.150000,19.389999,18.709999,19.280001,17.843933,14603500\n2008-06-30,19.059999,19.230000,18.590000,18.719999,17.325642,16348500\n2008-07-01,18.500000,18.770000,18.160000,18.750000,17.353405,22036600\n2008-07-02,18.660000,18.780001,18.000000,18.030001,16.687037,19079900\n2008-07-03,12.980000,13.130000,12.400000,12.490000,11.559683,74688000\n2008-07-07,12.680000,12.760000,11.760000,12.100000,11.198733,55067300\n2008-07-08,12.180000,12.480000,11.800000,12.030000,11.133947,45132200\n2008-07-09,12.060000,12.240000,11.820000,11.820000,10.939589,35329200\n2008-07-10,11.880000,12.020000,11.570000,11.790000,10.911822,26424800\n2008-07-11,11.550000,11.960000,11.320000,11.670000,10.800762,20194000\n2008-07-14,11.760000,11.850000,11.060000,11.140000,10.310238,22057900\n2008-07-15,11.040000,11.490000,10.700000,11.260000,10.421299,28062100\n2008-07-16,11.300000,11.620000,10.990000,11.320000,10.476832,25859800\n2008-07-17,11.500000,11.500000,10.920000,11.360000,10.513852,21552000\n2008-07-18,11.280000,11.630000,10.960000,11.560000,10.698956,22493000\n2008-07-21,11.740000,11.910000,11.530000,11.630000,10.763742,14290900\n2008-07-22,11.520000,11.570000,11.160000,11.380000,10.532364,13898100\n2008-07-23,11.460000,11.840000,11.410000,11.720000,10.847041,14871900\n2008-07-24,11.600000,11.710000,11.000000,11.030000,10.208431,17640700\n2008-07-25,11.140000,11.600000,10.910000,11.560000,10.698956,25990000\n2008-07-28,11.410000,11.910000,11.360000,11.530000,10.671188,18370200\n2008-07-29,11.550000,11.940000,11.420000,11.650000,10.782250,19115900\n2008-07-30,11.880000,11.900000,11.220000,11.480000,10.624911,14712300\n2008-07-31,11.450000,11.690000,11.320000,11.440000,10.587892,12180900\n2008-08-01,11.140000,11.180000,10.700000,10.840000,10.032583,22026500\n2008-08-04,10.840000,10.900000,10.550000,10.580000,9.791950,13051300\n2008-08-05,10.780000,11.190000,10.660000,11.190000,10.356513,17146100\n2008-08-06,11.220000,11.590000,10.860000,11.490000,10.634171,20371600\n2008-08-07,11.390000,11.900000,11.180000,11.310000,10.467578,20480800\n2008-08-08,11.400000,11.500000,10.960000,11.000000,10.180667,21344100\n2008-08-11,11.080000,11.500000,11.040000,11.230000,10.393536,29910900\n2008-08-12,11.320000,11.350000,10.910000,11.070000,10.245454,35271700\n2008-08-13,11.950000,12.440000,11.660000,12.260000,11.346816,52381500\n2008-08-14,12.170000,13.490000,12.170000,13.000000,12.031697,40882600\n2008-08-15,13.230000,13.380000,12.870000,12.960000,11.994676,19441300\n2008-08-18,13.050000,13.340000,12.910000,13.220000,12.235312,22349200\n2008-08-19,12.950000,13.500000,12.950000,13.420000,12.420416,25353500\n2008-08-20,13.620000,14.120000,13.520000,14.080000,13.031255,28592300\n2008-08-21,13.830000,13.940000,13.340000,13.620000,12.605517,25539000\n2008-08-22,13.720000,13.880000,13.320000,13.610000,12.596261,11481600\n2008-08-25,13.530000,13.850000,13.370000,13.410000,12.411159,11790000\n2008-08-26,13.480000,13.490000,12.950000,13.090000,12.114991,15327800\n2008-08-27,12.790000,13.350000,12.670000,13.190000,12.207544,11365500\n2008-08-28,13.210000,13.350000,13.010000,13.140000,12.161269,9129800\n2008-08-29,12.960000,13.000000,12.600000,12.640000,11.698512,12900100\n2008-09-02,12.850000,12.960000,12.150000,12.320000,11.402347,17348200\n2008-09-03,12.150000,12.200000,11.550000,11.660000,10.791505,17871400\n2008-09-04,11.530000,11.650000,11.430000,11.500000,10.643424,17903200\n2008-09-05,11.400000,11.700000,11.390000,11.670000,10.800762,19777500\n2008-09-08,11.780000,11.780000,11.000000,11.190000,10.356513,32871000\n2008-09-09,11.150000,11.830000,10.770000,10.810000,10.004818,27457400\n2008-09-10,10.940000,11.160000,10.750000,10.820000,10.014074,16107100\n2008-09-11,10.200000,10.520000,9.960000,10.300000,9.532806,26674400\n2008-09-12,10.210000,10.280000,9.610000,10.190000,9.430999,30230000\n2008-09-15,9.830000,9.980000,9.180000,9.300000,8.607290,21599600\n2008-09-16,8.970000,9.660000,8.800000,9.590000,8.875690,31021000\n2008-09-17,9.370000,10.220000,9.280000,10.000000,9.255151,34814500\n2008-09-18,10.120000,11.420000,10.100000,10.890000,10.078861,40276500\n2008-09-19,11.410000,11.500000,10.900000,11.410000,10.560126,27683600\n2008-09-22,11.320000,11.650000,11.110000,11.170000,10.338002,17501800\n2008-09-23,11.080000,11.490000,10.810000,10.850000,10.041841,20536700\n2008-09-24,10.710000,11.470000,10.650000,11.250000,10.412045,21650900\n2008-09-25,11.250000,11.740000,11.060000,11.470000,10.615657,14708200\n2008-09-26,11.190000,11.770000,10.980000,11.690000,10.819270,16171300\n2008-09-29,11.380000,11.520000,10.000000,10.100000,9.347705,24381000\n2008-09-30,10.260000,10.810000,10.150000,10.710000,9.912269,16476100\n2008-10-01,10.550000,10.740000,10.220000,10.410000,9.634611,13930200\n2008-10-02,10.480000,10.480000,9.280000,9.330000,8.635056,19693200\n2008-10-03,9.480000,9.750000,8.970000,9.030000,8.357400,22895700\n2008-10-06,8.600000,8.620000,7.310000,7.850000,7.265296,41936000\n2008-10-07,8.130000,8.150000,7.180000,7.240000,6.700728,26499600\n2008-10-08,6.980000,7.820000,6.910000,7.390000,6.839557,30486400\n2008-10-09,7.660000,7.770000,6.840000,6.920000,6.404565,22740900\n2008-10-10,6.320000,7.330000,6.280000,6.810000,6.302759,30006300\n2008-10-13,7.390000,8.060000,7.300000,8.050000,7.450396,22913400\n2008-10-14,8.350000,8.400000,7.650000,7.870000,7.283804,30225300\n2008-10-15,7.820000,7.860000,7.020000,7.020000,6.497116,21351600\n2008-10-16,7.230000,7.740000,6.900000,7.700000,7.126466,25495500\n2008-10-17,7.480000,8.090000,7.340000,7.650000,7.080191,20985400\n2008-10-20,7.910000,7.970000,7.610000,7.800000,7.219018,14894100\n2008-10-21,7.650000,7.730000,7.160000,7.200000,6.663709,16477900\n2008-10-22,7.100000,7.400000,6.740000,6.930000,6.413820,15024900\n2008-10-23,6.910000,7.080000,6.260000,6.540000,6.052870,20804800\n2008-10-24,6.000000,6.950000,5.970000,6.610000,6.117656,19958400\n2008-10-27,6.570000,7.380000,6.360000,6.970000,6.450840,17473400\n2008-10-28,7.340000,8.030000,7.210000,8.020000,7.422632,21248000\n2008-10-29,7.970000,8.800000,7.930000,8.280000,7.663266,24432100\n2008-10-30,8.750000,8.800000,8.100000,8.630000,7.987198,16429400\n2008-10-31,8.360000,8.930000,8.340000,8.760000,8.107513,15216800\n2008-11-03,8.950000,9.110000,8.300000,8.440000,7.811349,18098100\n2008-11-04,8.730000,8.980000,8.500000,8.980000,8.311127,15489000\n2008-11-05,8.650000,8.900000,8.510000,8.510000,7.876133,19690500\n2008-11-06,8.010000,8.310000,7.600000,7.620000,7.052426,19948400\n2008-11-07,8.680000,9.070000,8.100000,8.720000,8.070494,28301700\n2008-11-10,9.050000,9.100000,7.970000,8.160000,7.552205,14409900\n2008-11-11,8.040000,8.100000,7.720000,7.800000,7.219018,14412100\n2008-11-12,7.560000,7.740000,7.250000,7.340000,6.793281,16152300\n2008-11-13,7.000000,7.950000,6.860000,7.940000,7.348591,19930700\n2008-11-14,7.620000,7.660000,7.140000,7.170000,6.635944,18525600\n2008-11-17,7.100000,7.290000,6.950000,7.020000,6.497116,9705600\n2008-11-18,7.160000,7.200000,6.560000,6.790000,6.284248,14112200\n2008-11-19,6.730000,6.900000,6.200000,6.230000,5.765961,12505500\n2008-11-20,6.180000,6.490000,5.830000,5.900000,5.460539,21175900\n2008-11-21,6.090000,6.380000,5.750000,6.380000,5.904786,14976600\n2008-11-24,6.770000,6.880000,6.400000,6.800000,6.293503,15007700\n2008-11-25,7.100000,7.120000,6.790000,6.990000,6.469351,13206400\n2008-11-26,6.870000,7.630000,6.830000,7.610000,7.043171,15019800\n2008-11-28,7.490000,7.600000,7.370000,7.470000,6.913598,4381200\n2008-12-01,7.170000,7.240000,6.820000,6.830000,6.321269,13677800\n2008-12-02,6.960000,7.300000,6.870000,7.210000,6.672964,11999700\n2008-12-03,6.930000,7.590000,6.870000,7.580000,7.015405,14615800\n2008-12-04,7.430000,7.800000,6.910000,7.080000,6.552649,11657300\n2008-12-05,6.860000,7.390000,6.740000,7.360000,6.811792,10962100\n2008-12-08,7.500000,7.650000,6.950000,7.120000,6.589668,17699800\n2008-12-09,7.030000,8.090000,6.950000,7.810000,7.228272,20744000\n2008-12-10,7.960000,8.750000,7.830000,8.550000,7.913153,24028100\n2008-12-11,8.500000,8.800000,8.090000,8.190000,7.579970,14567500\n2008-12-12,7.950000,8.650000,7.790000,8.600000,7.959431,16981700\n2008-12-15,8.650000,8.700000,8.050000,8.320000,7.700284,11924900\n2008-12-16,8.400000,8.900000,8.320000,8.880000,8.218574,13048500\n2008-12-17,8.720000,9.450000,8.600000,9.320000,8.625798,16854500\n2008-12-18,9.260000,9.290000,8.350000,8.460000,7.829859,13770200\n2008-12-19,8.570000,8.900000,8.490000,8.520000,7.885391,14828000\n2008-12-22,8.650000,8.670000,7.710000,8.020000,7.422632,13061600\n2008-12-23,8.070000,8.240000,7.790000,7.910000,7.320825,9436300\n2008-12-24,7.750000,7.940000,7.560000,7.720000,7.144977,3665400\n2008-12-26,7.720000,7.820000,7.300000,7.510000,6.950618,5653900\n2008-12-29,7.610000,7.750000,7.120000,7.750000,7.172742,11504200\n2008-12-30,7.850000,8.140000,7.670000,8.020000,7.422632,10246500\n2008-12-31,7.920000,8.270000,7.780000,8.070000,7.468907,11039500\n2009-01-02,8.070000,8.770000,8.040000,8.710000,8.061236,12428100\n2009-01-05,8.610000,9.070000,8.550000,8.870000,8.209316,17643400\n2009-01-06,9.130000,9.430000,8.930000,9.170000,8.486974,16447600\n2009-01-07,8.960000,8.960000,8.310000,8.620000,7.977942,21752400\n2009-01-08,8.510000,8.510000,7.880000,8.400000,7.774329,25362400\n2009-01-09,8.400000,8.400000,7.910000,7.930000,7.339336,19033800\n2009-01-12,7.930000,7.970000,7.500000,7.610000,7.043171,16138300\n2009-01-13,7.350000,7.940000,7.210000,7.650000,7.080191,45610600\n2009-01-14,7.380000,7.470000,7.200000,7.310000,6.765516,24372700\n2009-01-15,7.350000,7.690000,7.200000,7.570000,7.006149,24955100\n2009-01-16,7.780000,8.060000,7.530000,7.990000,7.394866,20783100\n2009-01-20,7.970000,8.000000,7.150000,7.210000,6.672964,17644700\n2009-01-21,7.350000,7.610000,7.080000,7.560000,6.996895,16211800\n2009-01-22,7.320000,7.620000,7.150000,7.420000,6.867322,13691400\n2009-01-23,7.210000,7.940000,7.200000,7.710000,7.135721,15840400\n2009-01-26,7.750000,8.200000,7.620000,7.970000,7.376356,14543700\n2009-01-27,8.100000,8.500000,8.070000,8.440000,7.811349,18132500\n2009-01-28,8.740000,8.930000,8.460000,8.790000,8.135280,18093800\n2009-01-29,8.500000,8.600000,8.240000,8.280000,7.663266,10328200\n2009-01-30,8.220000,8.440000,7.850000,7.950000,7.357846,12669000\n2009-02-02,7.830000,8.470000,7.790000,8.380000,7.755816,14449800\n2009-02-03,8.400000,8.550000,8.170000,8.480000,7.848369,9923700\n2009-02-04,8.500000,9.150000,8.500000,8.720000,8.070494,19480800\n2009-02-05,8.490000,9.460000,8.400000,9.360000,8.662821,22979800\n2009-02-06,9.390000,9.930000,9.230000,9.870000,9.134834,28947000\n2009-02-09,9.830000,9.970000,9.470000,9.740000,9.014518,17903200\n2009-02-10,9.730000,9.860000,9.140000,9.320000,8.625798,28241600\n2009-02-11,8.580000,8.890000,7.860000,8.150000,7.542948,49585000\n2009-02-12,7.970000,8.370000,7.860000,8.320000,7.700284,25600500\n2009-02-13,8.130000,8.410000,8.070000,8.310000,7.691030,19107600\n2009-02-17,8.000000,8.190000,7.800000,7.830000,7.246785,19489400\n2009-02-18,7.830000,8.300000,7.820000,8.040000,7.441142,16156300\n2009-02-19,8.200000,8.270000,7.420000,7.420000,6.867322,18599700\n2009-02-20,7.320000,7.730000,7.250000,7.610000,7.043171,19251400\n2009-02-23,7.740000,7.780000,7.210000,7.260000,6.719240,16988700\n2009-02-24,7.300000,7.920000,7.290000,7.910000,7.320825,16488100\n2009-02-25,7.890000,8.240000,7.620000,8.000000,7.404121,17559000\n2009-02-26,8.280000,8.540000,8.160000,8.260000,7.644756,27938900\n2009-02-27,8.050000,8.470000,7.990000,8.280000,7.663266,18886100\n2009-03-02,8.080000,8.250000,7.550000,7.580000,7.015405,17501600\n2009-03-03,7.720000,8.180000,7.470000,7.880000,7.293059,26034300\n2009-03-04,8.090000,8.700000,8.020000,8.460000,7.829859,27716700\n2009-03-05,8.340000,8.680000,8.220000,8.260000,7.644756,23881300\n2009-03-06,8.260000,8.690000,8.150000,8.390000,7.765073,24368900\n2009-03-09,8.330000,8.960000,8.280000,8.300000,7.681777,17069200\n2009-03-10,8.600000,9.210000,8.520000,9.050000,8.375913,31370000\n2009-03-11,9.050000,11.850000,8.900000,9.300000,8.607290,21622900\n2009-03-12,9.270000,9.950000,9.150000,9.850000,9.116324,40115100\n2009-03-13,9.710000,9.940000,9.550000,9.800000,9.070047,29878900\n2009-03-16,9.900000,9.910000,9.340000,9.420000,8.718353,17483600\n2009-03-17,9.450000,9.910000,9.330000,9.890000,9.153346,25134600\n2009-03-18,9.740000,10.490000,9.730000,10.200000,9.440252,33989000\n2009-03-19,10.270000,10.270000,10.010000,10.080000,9.329193,20566200\n2009-03-20,10.230000,10.240000,9.270000,9.530000,8.820158,27341800\n2009-03-23,9.830000,10.240000,9.610000,10.220000,9.458766,20401200\n2009-03-24,9.970000,10.060000,9.730000,9.780000,9.051541,27871700\n2009-03-25,10.080000,10.400000,9.560000,9.940000,9.199619,31096300\n2009-03-26,10.100000,10.580000,9.990000,10.560000,9.773440,33341600\n2009-03-27,10.450000,10.710000,10.300000,10.460000,9.680890,18297300\n2009-03-30,10.060000,10.190000,9.650000,9.790000,9.060793,19501300\n2009-03-31,9.940000,10.100000,9.790000,9.860000,9.125580,20131800\n2009-04-01,9.740000,10.200000,9.370000,10.110000,9.356958,22198000\n2009-04-02,10.490000,10.770000,10.340000,10.580000,9.791950,25071500\n2009-04-03,10.590000,11.350000,10.410000,11.320000,10.476832,25080200\n2009-04-06,11.130000,11.450000,10.980000,11.350000,10.504598,22182200\n2009-04-07,11.130000,11.250000,10.890000,10.960000,10.143647,15195100\n2009-04-08,11.080000,11.440000,10.990000,11.410000,10.560126,18291300\n2009-04-09,11.700000,12.080000,11.610000,12.040000,11.143202,22610300\n2009-04-13,11.890000,11.900000,11.390000,11.650000,10.782250,19190700\n2009-04-14,11.490000,12.000000,11.440000,11.720000,10.847041,17799000\n2009-04-15,11.310000,11.440000,10.910000,11.390000,10.541617,26134200\n2009-04-16,11.600000,11.820000,11.160000,11.680000,10.810018,25969300\n2009-04-17,11.680000,11.870000,11.400000,11.760000,10.884058,17394100\n2009-04-20,11.310000,11.410000,10.990000,11.050000,10.226943,14766500\n2009-04-21,10.900000,11.480000,10.740000,11.020000,10.199178,23304600\n2009-04-22,10.920000,11.810000,10.740000,11.350000,10.504598,22910100\n2009-04-23,11.460000,11.560000,10.820000,11.170000,10.338002,18848800\n2009-04-24,11.280000,11.510000,11.010000,11.430000,10.578639,18987700\n2009-04-27,11.280000,11.600000,10.950000,11.020000,10.199178,19675600\n2009-04-28,10.880000,11.280000,10.780000,11.050000,10.226943,15859800\n2009-04-29,11.100000,11.150000,10.750000,10.880000,10.069605,21491700\n2009-04-30,11.090000,11.800000,11.000000,11.480000,10.624911,27756900\n2009-05-01,11.450000,11.940000,11.440000,11.670000,10.800762,21013700\n2009-05-04,11.870000,12.390000,11.710000,12.300000,11.383839,23192600\n2009-05-05,12.030000,12.110000,11.550000,11.800000,10.921079,20926900\n2009-05-06,11.930000,12.040000,11.330000,11.560000,10.698956,23377200\n2009-05-07,11.820000,11.820000,10.580000,10.730000,9.930777,32229900\n2009-05-08,10.500000,10.500000,9.110000,9.250000,8.561014,73264100\n2009-05-11,9.100000,9.660000,9.020000,9.430000,8.727609,25964900\n2009-05-12,9.640000,9.640000,8.800000,8.980000,8.311127,30034600\n2009-05-13,8.920000,8.970000,8.330000,8.400000,7.774329,32640200\n2009-05-14,8.390000,8.700000,8.330000,8.520000,7.885391,25446600\n2009-05-15,8.580000,9.040000,8.480000,8.740000,8.089001,19507700\n2009-05-18,8.960000,9.330000,8.940000,9.270000,8.579525,23458000\n2009-05-19,9.330000,9.560000,9.180000,9.450000,8.746119,21494200\n2009-05-20,9.620000,10.250000,9.580000,9.730000,9.005262,32735900\n2009-05-21,9.610000,9.800000,9.400000,9.670000,8.949731,24140000\n2009-05-22,9.670000,9.960000,9.490000,9.820000,9.088557,17956500\n2009-05-26,9.730000,10.430000,9.630000,10.350000,9.579082,21638500\n2009-05-27,10.300000,10.680000,10.200000,10.370000,9.597591,20353800\n2009-05-28,10.530000,10.600000,10.060000,10.510000,9.727165,24882200\n2009-05-29,10.520000,10.540000,10.070000,10.430000,9.653123,20855800\n2009-06-01,10.550000,11.000000,10.510000,10.940000,10.125135,25569100\n2009-06-02,10.940000,11.180000,10.650000,10.850000,10.041841,22699600\n2009-06-03,10.710000,10.750000,10.250000,10.510000,9.727165,18392200\n2009-06-04,10.540000,10.910000,10.530000,10.890000,10.078861,16829500\n2009-06-05,11.090000,11.090000,10.700000,10.830000,10.023329,13999800\n2009-06-08,10.750000,10.920000,10.500000,10.770000,9.967798,11848700\n2009-06-09,10.920000,11.480000,10.840000,11.360000,10.513852,18125800\n2009-06-10,11.420000,11.790000,11.170000,11.720000,10.847041,20833000\n2009-06-11,11.750000,12.200000,11.500000,11.570000,10.708207,20878900\n2009-06-12,11.400000,11.550000,11.140000,11.510000,10.652681,14875000\n2009-06-15,11.300000,11.450000,11.120000,11.320000,10.476832,11129100\n2009-06-16,11.320000,11.460000,10.850000,11.010000,10.189922,14872800\n2009-06-17,11.180000,11.390000,10.750000,11.280000,10.439811,19975400\n2009-06-18,11.240000,11.450000,10.940000,11.060000,10.236197,14159400\n2009-06-19,11.170000,11.460000,11.030000,11.180000,10.347261,18689100\n2009-06-22,11.220000,11.220000,10.510000,10.550000,9.764187,14371600\n2009-06-23,10.650000,10.670000,10.090000,10.500000,9.717910,14744100\n2009-06-24,10.630000,11.100000,10.630000,10.850000,10.041841,12877400\n2009-06-25,10.750000,11.440000,10.640000,11.420000,10.569383,21761100\n2009-06-26,11.370000,11.610000,11.270000,11.570000,10.708207,12848900\n2009-06-29,11.600000,11.780000,11.450000,11.570000,10.708207,12751400\n2009-06-30,11.530000,11.690000,11.080000,11.290000,10.449068,14746100\n2009-07-01,11.360000,11.490000,11.150000,11.340000,10.495343,17410500\n2009-07-02,10.970000,11.110000,10.750000,10.900000,10.088115,13807800\n2009-07-06,10.890000,10.900000,10.370000,10.550000,9.764187,18811400\n2009-07-07,10.590000,10.650000,10.060000,10.090000,9.338448,26824900\n2009-07-08,10.150000,10.180000,9.710000,10.110000,9.356958,30146500\n2009-07-09,10.280000,10.500000,10.250000,10.330000,9.560570,17864100\n2009-07-10,10.330000,10.440000,10.110000,10.370000,9.597591,13000200\n2009-07-13,10.580000,10.580000,9.950000,10.490000,9.708653,13900300\n2009-07-14,10.570000,10.750000,10.450000,10.710000,9.912269,11314200\n2009-07-15,11.100000,11.370000,11.000000,11.150000,10.319492,25570200\n2009-07-16,11.270000,11.770000,11.210000,11.730000,10.856294,23801900\n2009-07-17,11.730000,12.110000,11.610000,12.070000,11.170966,21258900\n2009-07-20,12.170000,12.350000,12.010000,12.220000,11.309794,19568900\n2009-07-21,12.190000,12.240000,11.690000,11.970000,11.078419,23532400\n2009-07-22,11.730000,12.380000,11.650000,12.270000,11.356070,15022700\n2009-07-23,12.290000,13.040000,12.160000,13.000000,12.031697,26153000\n2009-07-24,12.600000,13.000000,12.520000,12.960000,11.994676,16264800\n2009-07-27,12.840000,13.210000,12.720000,13.020000,12.050210,16937100\n2009-07-28,12.930000,13.180000,12.820000,13.040000,12.068719,14079500\n2009-07-29,12.890000,12.970000,12.650000,12.780000,11.828083,9349300\n2009-07-30,13.000000,13.170000,12.770000,12.880000,11.920636,11711100\n2009-07-31,12.880000,13.110000,12.580000,12.930000,11.966911,13539000\n2009-08-03,13.240000,13.430000,12.990000,13.280000,12.290840,11797500\n2009-08-04,13.050000,13.600000,13.030000,13.370000,12.374138,17384500\n2009-08-05,13.290000,13.500000,13.130000,13.400000,12.401902,15269200\n2009-08-06,13.450000,13.690000,13.040000,13.120000,12.142759,23939700\n2009-08-07,13.830000,14.230000,13.520000,13.710000,12.688812,35046800\n2009-08-10,13.810000,14.010000,13.180000,13.260000,12.272332,17332800\n2009-08-11,13.170000,13.370000,12.880000,12.950000,11.985421,12047100\n2009-08-12,12.960000,13.570000,12.950000,13.430000,12.429671,15873500\n2009-08-13,13.530000,13.880000,13.290000,13.830000,12.799874,14100700\n2009-08-14,13.810000,13.830000,13.240000,13.420000,12.420416,10678700\n2009-08-17,13.010000,13.050000,12.720000,12.860000,11.902123,11625800\n2009-08-18,12.860000,13.480000,12.850000,13.330000,12.337117,15905000\n2009-08-19,13.130000,13.260000,13.000000,13.180000,12.198291,13824900\n2009-08-20,13.120000,13.760000,13.090000,13.700000,12.679556,20496000\n2009-08-21,13.810000,13.950000,13.530000,13.930000,12.892426,15183100\n2009-08-24,13.850000,14.000000,13.460000,13.540000,12.531474,11536400\n2009-08-25,13.610000,13.800000,13.380000,13.660000,12.642537,11102200\n2009-08-26,13.630000,13.850000,13.580000,13.820000,12.790620,10857700\n2009-08-27,13.880000,14.070000,13.730000,14.010000,12.966466,13776800\n2009-08-28,14.390000,15.030000,14.370000,14.730000,13.632838,22099800\n2009-08-31,14.560000,14.630000,14.330000,14.520000,13.438480,10794900\n2009-09-01,14.510000,14.920000,13.950000,14.030000,12.984977,18421400\n2009-09-02,14.050000,14.370000,13.970000,14.230000,13.170080,10116400\n2009-09-03,14.230000,14.590000,14.190000,14.570000,13.484754,13350500\n2009-09-04,14.510000,15.210000,14.510000,15.110000,13.984533,12826200\n2009-09-08,15.220000,15.530000,15.100000,15.530000,14.373251,13742800\n2009-09-09,15.500000,15.990000,15.280000,15.960000,14.771221,14292100\n2009-09-10,16.010000,16.490000,15.830000,16.469999,15.243233,15198800\n2009-09-11,16.430000,16.490000,16.200001,16.320000,15.104409,17818300\n2009-09-14,16.080000,16.209999,15.910000,16.049999,14.854517,12262900\n2009-09-15,16.200001,16.580000,16.049999,16.379999,15.159940,13653400\n2009-09-16,16.340000,16.370001,15.700000,15.940000,14.752711,17676600\n2009-09-17,15.900000,15.900000,14.970000,15.240000,14.104853,23077400\n2009-09-18,15.390000,15.500000,15.100000,15.220000,14.086342,15118500\n2009-09-21,15.040000,15.410000,14.910000,15.150000,14.021555,14719400\n2009-09-22,15.260000,15.350000,15.060000,15.180000,14.049319,9034700\n2009-09-23,15.270000,15.400000,14.920000,14.940000,13.827196,11973400\n2009-09-24,15.190000,15.190000,14.690000,14.740000,13.642094,13821900\n2009-09-25,14.660000,14.730000,14.390000,14.500000,13.419971,9438900\n2009-09-28,14.550000,15.200000,14.550000,14.830000,13.725390,11692700\n2009-09-29,14.920000,15.100000,14.530000,14.560000,13.475502,11773200\n2009-09-30,14.860000,15.210000,14.530000,15.030000,13.910491,21898900\n2009-10-01,14.980000,14.980000,13.950000,13.960000,12.920193,24999000\n2009-10-02,13.820000,14.150000,13.740000,13.850000,12.818384,15311900\n2009-10-05,14.000000,14.050000,13.540000,13.780000,12.753601,18856900\n2009-10-06,13.950000,14.250000,13.850000,14.010000,12.966466,19031800\n2009-10-07,13.910000,14.060000,13.750000,13.900000,12.864659,11490200\n2009-10-08,13.980000,14.020000,13.490000,13.990000,12.947957,31038100\n2009-10-09,13.910000,14.190000,13.890000,14.170000,13.114550,15463500\n2009-10-12,13.930000,14.280000,13.920000,14.010000,12.966466,12475200\n2009-10-13,14.090000,14.250000,13.830000,13.960000,12.920193,15053100\n2009-10-14,14.500000,14.500000,13.870000,13.940000,12.901680,27548700\n2009-10-15,13.920000,14.050000,13.440000,13.530000,12.522220,27304900\n2009-10-16,13.360000,13.400000,12.980000,13.220000,12.235312,25470800\n2009-10-19,13.330000,13.810000,13.220000,13.700000,12.679556,17389700\n2009-10-20,13.930000,14.030000,13.600000,13.710000,12.688812,16504500\n2009-10-21,13.660000,13.870000,13.310000,13.380000,12.383393,12598900\n2009-10-22,13.310000,13.540000,13.080000,13.470000,12.466689,9483200\n2009-10-23,13.650000,13.650000,13.070000,13.150000,12.170524,10738200\n2009-10-26,13.250000,13.450000,12.910000,12.980000,12.013186,12041300\n2009-10-27,12.920000,13.110000,12.410000,12.540000,11.605959,14795900\n2009-10-28,12.260000,12.540000,11.960000,12.020000,11.124692,19340800\n2009-10-29,12.210000,12.610000,12.100000,12.550000,11.615216,15927500\n2009-10-30,12.490000,12.540000,11.900000,11.960000,11.069161,15103600\n2009-11-02,11.940000,12.330000,11.730000,12.070000,11.170966,14828400\n2009-11-03,11.680000,12.070000,11.560000,12.010000,11.115438,21911800\n2009-11-04,12.100000,12.230000,11.930000,11.980000,11.087671,22921000\n2009-11-05,12.120000,12.390000,12.080000,12.270000,11.356070,23878900\n2009-11-06,13.040000,13.430000,12.880000,13.160000,12.179779,41027800\n2009-11-09,13.340000,13.650000,13.330000,13.460000,12.457435,20453100\n2009-11-10,13.510000,13.510000,12.960000,13.130000,12.152014,19536800\n2009-11-11,13.350000,13.820000,13.330000,13.500000,12.494454,21787800\n2009-11-12,13.620000,13.850000,13.420000,13.460000,12.457435,12646600\n2009-11-13,13.450000,13.630000,13.390000,13.560000,12.549986,9713100\n2009-11-16,13.680000,13.910000,13.610000,13.750000,12.725834,10070500\n2009-11-17,13.760000,13.760000,13.470000,13.730000,12.707322,8753100\n2009-11-18,13.600000,13.650000,13.290000,13.520000,12.512964,11387900\n2009-11-19,13.230000,13.230000,12.740000,12.980000,12.013186,20846000\n2009-11-20,12.680000,12.960000,12.650000,12.900000,11.939146,10668700\n2009-11-23,13.090000,13.330000,12.940000,13.000000,12.031697,9773100\n2009-11-24,12.940000,13.030000,12.710000,12.920000,11.957652,10462600\n2009-11-25,13.070000,13.250000,12.980000,13.070000,12.096482,11044000\n2009-11-27,12.600000,12.940000,12.530000,12.790000,11.837342,6998300\n2009-11-30,12.840000,13.070000,12.700000,13.060000,12.087229,12745900\n2009-12-01,13.130000,13.470000,13.060000,13.320000,12.327860,11548400\n2009-12-02,13.350000,13.750000,13.270000,13.720000,12.698068,15057300\n2009-12-03,13.880000,14.130000,13.810000,13.830000,12.799874,16500900\n2009-12-04,14.090000,14.320000,13.870000,14.260000,13.197845,20614100\n2009-12-07,15.850000,16.450001,15.100000,16.090000,14.891540,68304600\n2009-12-08,15.830000,15.900000,15.220000,15.310000,14.169638,26887800\n2009-12-09,15.470000,15.810000,15.320000,15.690000,14.521331,16789700\n2009-12-10,15.800000,15.900000,15.360000,15.410000,14.262189,10425300\n2009-12-11,15.540000,15.560000,15.170000,15.210000,14.077087,10418600\n2009-12-14,15.430000,15.720000,15.260000,15.670000,14.502824,10137200\n2009-12-15,15.560000,15.910000,15.520000,15.650000,14.484312,11153800\n2009-12-16,16.209999,17.090000,16.120001,16.910000,15.650460,42085000\n2009-12-17,16.959999,17.480000,16.580000,16.830000,15.576420,25403300\n2009-12-18,16.969999,17.030001,16.620001,16.820000,15.567163,20320700\n2009-12-21,16.920000,17.490000,16.900000,17.420000,16.122473,10694800\n2009-12-22,17.420000,18.059999,17.400000,17.879999,16.548208,19826100\n2009-12-23,18.049999,18.180000,17.820000,18.129999,16.779587,11054900\n2009-12-24,18.180000,18.209999,18.020000,18.090000,16.742569,3420300\n2009-12-28,18.059999,18.219999,17.620001,17.799999,16.474169,11644000\n2009-12-29,17.740000,18.070000,17.700001,18.020000,16.677786,11896200\n2009-12-30,18.190001,18.780001,18.059999,18.670000,17.279371,17600200\n2009-12-31,18.709999,18.950001,18.660000,18.680000,17.288624,17508500\n2010-01-04,18.510000,18.620001,18.110001,18.490000,17.112780,20005100\n2010-01-05,18.420000,18.959999,18.420000,18.760000,17.362663,18216200\n2010-01-06,18.750000,18.920000,18.570000,18.879999,17.473728,16229200\n2010-01-07,18.780001,18.860001,18.370001,18.510000,17.131287,13694800\n2010-01-08,18.360001,18.680000,18.250000,18.549999,17.168303,11954200\n2010-01-11,18.650000,18.730000,18.030001,18.290001,16.927671,13915300\n2010-01-12,18.020000,18.090000,17.290001,17.670000,16.353855,15685800\n2010-01-13,17.790001,17.969999,17.100000,17.910000,16.575975,12721700\n2010-01-14,17.690001,17.820000,17.330000,17.629999,16.316832,15213100\n2010-01-15,17.500000,17.650000,16.879999,17.110001,15.835566,20454800\n2010-01-19,16.980000,17.540001,16.930000,17.430000,16.131727,13633200\n2010-01-20,17.209999,17.430000,16.980000,17.360001,16.066944,17993200\n2010-01-21,17.350000,17.660000,16.889999,17.049999,15.780033,15215800\n2010-01-22,16.850000,17.160000,16.360001,16.459999,15.233979,26697900\n2010-01-25,16.730000,17.059999,16.610001,16.740000,15.493124,16091900\n2010-01-26,16.660000,16.770000,16.200001,16.209999,15.002598,17865900\n2010-01-27,16.200001,16.709999,16.020000,16.650000,15.409825,20312600\n2010-01-28,16.780001,16.840000,15.860000,16.090000,14.891540,17194100\n2010-01-29,16.270000,16.450001,15.150000,15.390000,14.243677,19367500\n2010-02-01,15.450000,16.600000,15.320000,16.570000,15.335786,23745800\n2010-02-02,16.510000,16.950001,16.459999,16.740000,15.493124,21245300\n2010-02-03,16.590000,16.950001,16.510000,16.879999,15.622698,14057400\n2010-02-04,16.730000,16.730000,15.720000,15.900000,14.715692,19587000\n2010-02-05,15.880000,16.260000,15.600000,16.219999,15.011855,15121400\n2010-02-08,16.170000,16.580000,15.870000,16.190001,14.984091,11129000\n2010-02-09,16.450001,16.530001,15.900000,16.059999,14.863774,23253600\n2010-02-10,16.160000,16.520000,16.049999,16.370001,15.150683,13395700\n2010-02-11,16.629999,17.299999,16.510000,17.120001,15.844821,17399500\n2010-02-12,17.000000,17.700001,16.809999,17.350000,16.057692,19505300\n2010-02-16,17.580000,17.740000,17.370001,17.670000,16.353855,11425600\n2010-02-17,17.889999,17.900000,17.330000,17.840000,16.511189,21914000\n2010-02-18,16.860001,16.950001,16.209999,16.670000,15.428340,37887700\n2010-02-19,16.600000,16.780001,16.500000,16.580000,15.345040,12763700\n2010-02-22,16.650000,16.900000,16.500000,16.610001,15.372808,11452100\n2010-02-23,16.660000,16.730000,16.040001,16.209999,15.002598,12244100\n2010-02-24,16.350000,16.709999,16.299999,16.549999,15.317273,11146700\n2010-02-25,16.170000,16.440001,15.760000,16.400000,15.178449,14424300\n2010-02-26,16.320000,16.440001,16.100000,16.200001,14.993344,9834900\n2010-03-01,16.209999,16.930000,16.080000,16.850000,15.594929,13896700\n2010-03-02,17.000000,17.209999,16.719999,16.840000,15.585675,13466200\n2010-03-03,16.940001,17.030001,16.490000,16.629999,15.391317,9982500\n2010-03-04,16.700001,16.830000,16.450001,16.660000,15.419081,13934900\n2010-03-05,16.540001,17.290001,16.540001,17.170000,15.891098,15820800\n2010-03-08,17.180000,17.230000,16.850000,16.920000,15.659718,10982800\n2010-03-09,17.090000,17.719999,17.080000,17.549999,16.242788,20770800\n2010-03-10,17.500000,17.780001,17.490000,17.590000,16.279812,10463000\n2010-03-11,17.450001,17.510000,17.120001,17.190001,15.909604,13516500\n2010-03-12,17.379999,17.430000,17.160000,17.250000,15.965141,13008800\n2010-03-15,17.230000,17.400000,17.000000,17.160000,15.881840,8972600\n2010-03-16,17.150000,17.860001,17.139999,17.760000,16.437147,16624700\n2010-03-17,17.860001,18.340000,17.860001,18.100000,16.751825,16279200\n2010-03-18,18.129999,18.129999,17.299999,17.459999,16.159498,18524100\n2010-03-19,17.719999,17.770000,17.030001,17.250000,15.965141,14615300\n2010-03-22,17.030001,17.600000,17.030001,17.530001,16.224277,10883400\n2010-03-23,17.660000,17.980000,17.540001,17.889999,16.557470,12340300\n2010-03-24,17.740000,17.790001,17.260000,17.290001,16.002161,10906300\n2010-03-25,17.540001,17.650000,17.299999,17.340000,16.048433,12379600\n2010-03-26,17.490000,17.670000,17.200001,17.340000,16.048433,8616900\n2010-03-29,17.450001,17.600000,17.209999,17.559999,16.252045,9861400\n2010-03-30,17.760000,17.850000,17.330000,17.629999,16.316832,8102600\n2010-03-31,17.559999,17.639999,17.309999,17.400000,16.103962,9746000\n2010-04-01,17.480000,17.680000,17.040001,17.219999,15.937373,8491600\n2010-04-05,17.330000,17.510000,17.309999,17.480000,16.178001,10340900\n2010-04-06,17.260000,17.299999,16.750000,17.049999,15.780033,20231500\n2010-04-07,16.940001,17.450001,16.799999,17.160000,15.881840,20436700\n2010-04-08,17.049999,17.180000,16.790001,16.879999,15.622698,25940000\n2010-04-09,16.840000,17.049999,16.750000,16.990000,15.724502,20439300\n2010-04-12,17.010000,17.370001,16.980000,17.299999,16.011414,13661500\n2010-04-13,17.370001,17.719999,17.299999,17.660000,16.344597,16217400\n2010-04-14,18.040001,18.129999,17.600000,17.879999,16.548208,22518000\n2010-04-15,17.940001,18.120001,17.760000,18.010000,16.668528,23939900\n2010-04-16,17.280001,17.350000,16.680000,17.059999,15.789289,47943400\n2010-04-19,16.930000,17.030001,16.410000,16.980000,15.715242,27362300\n2010-04-20,17.100000,17.280001,16.820000,17.040001,15.770782,16954700\n2010-04-21,17.129999,17.150000,16.400000,16.600000,15.363553,22397700\n2010-04-22,16.330000,16.719999,16.100000,16.670000,15.428340,16423300\n2010-04-23,16.620001,16.660000,16.150000,16.440001,15.215470,18822900\n2010-04-26,16.459999,16.799999,16.430000,16.600000,15.363553,12277300\n2010-04-27,16.480000,16.650000,16.080000,16.129999,14.928557,15167600\n2010-04-28,16.120001,16.389999,15.830000,16.160000,14.956325,16804100\n2010-04-29,16.209999,16.670000,15.970000,16.650000,15.409825,24678200\n2010-04-30,16.450001,16.480000,15.700000,15.710000,14.539842,26701200\n2010-05-03,15.790000,15.880000,15.300000,15.540000,14.382506,26974300\n2010-05-04,15.300000,15.330000,14.530000,14.750000,13.651348,32784400\n2010-05-05,14.450000,14.870000,14.320000,14.500000,13.419971,33271000\n2010-05-06,14.400000,14.700000,13.040000,14.200000,13.142314,25072200\n2010-05-07,14.330000,14.330000,13.460000,13.960000,12.920193,28842800\n2010-05-10,14.800000,14.980000,14.400000,14.560000,13.475502,24478900\n2010-05-11,14.420000,14.690000,14.290000,14.400000,13.327418,20728100\n2010-05-12,14.500000,14.760000,14.410000,14.680000,13.586561,22530900\n2010-05-13,14.620000,15.290000,14.510000,14.650000,13.558796,31300000\n2010-05-14,13.660000,13.700000,12.600000,12.960000,11.994676,62326700\n2010-05-17,12.980000,13.150000,12.580000,12.990000,12.022442,21401500\n2010-05-18,13.100000,13.180000,12.490000,12.560000,11.624471,16852800\n2010-05-19,12.500000,12.780000,12.410000,12.760000,11.809572,20663000\n2010-05-20,12.390000,12.760000,12.010000,12.460000,11.531922,28228400\n2010-05-21,12.100000,13.080000,12.100000,12.730000,11.781806,26740000\n2010-05-24,12.690000,12.840000,12.320000,12.360000,11.439368,16614100\n2010-05-25,11.970000,12.750000,11.850000,12.690000,11.744785,24166300\n2010-05-26,13.200000,13.450000,12.710000,12.750000,11.800319,24875700\n2010-05-27,13.070000,13.500000,13.040000,13.500000,12.494454,17839000\n2010-05-28,13.480000,13.480000,12.940000,13.140000,12.161269,13627900\n2010-06-01,12.960000,13.110000,12.570000,12.580000,11.642981,13187300\n2010-06-02,12.600000,12.740000,12.520000,12.720000,11.772552,16227200\n2010-06-03,12.460000,12.730000,12.420000,12.700000,11.754042,14659000\n2010-06-04,12.330000,12.550000,12.030000,12.100000,11.198733,16786400\n2010-06-07,12.150000,12.230000,11.450000,11.500000,10.643424,14431200\n2010-06-08,11.450000,11.450000,10.890000,11.180000,10.347261,24190900\n2010-06-09,11.240000,11.540000,10.870000,10.910000,10.097371,17428800\n2010-06-10,11.130000,11.400000,11.100000,11.350000,10.504598,15294200\n2010-06-11,11.230000,11.660000,11.200000,11.610000,10.745230,11052600\n2010-06-14,11.780000,11.800000,11.330000,11.360000,10.513852,9377000\n2010-06-15,11.490000,11.980000,11.470000,11.920000,11.032143,13215800\n2010-06-16,11.840000,11.950000,11.610000,11.770000,10.893313,9162000\n2010-06-17,12.180000,12.250000,11.760000,12.220000,11.309794,21476700\n2010-06-18,12.290000,12.450000,12.200000,12.300000,11.383839,23320800\n2010-06-21,12.560000,12.590000,11.900000,12.010000,11.115438,14495900\n2010-06-22,12.160000,12.310000,11.500000,11.560000,10.698956,20454100\n2010-06-23,11.670000,11.810000,11.340000,11.690000,10.819270,15351500\n2010-06-24,11.620000,11.680000,11.070000,11.110000,10.282472,18125700\n2010-06-25,11.190000,11.200000,10.900000,11.080000,10.254707,12680500\n2010-06-28,11.160000,11.260000,10.900000,11.100000,10.273217,9300200\n2010-06-29,10.860000,10.870000,10.410000,10.480000,9.699398,16520200\n2010-06-30,10.500000,10.610000,10.210000,10.210000,9.449510,15576800\n2010-07-01,10.240000,10.450000,9.930000,10.380000,9.606847,18425200\n2010-07-02,10.420000,10.440000,9.900000,10.250000,9.486529,18427400\n2010-07-06,10.210000,10.540000,10.050000,10.140000,9.384722,17800500\n2010-07-07,10.180000,10.690000,10.160000,10.630000,9.838227,15210300\n2010-07-08,10.700000,10.710000,10.180000,10.310000,9.542062,19581800\n2010-07-09,10.360000,10.420000,10.220000,10.350000,9.579082,14287900\n2010-07-12,10.350000,10.670000,10.340000,10.540000,9.754930,14134900\n2010-07-13,10.710000,10.990000,10.650000,10.920000,10.106626,18082900\n2010-07-14,11.400000,11.480000,10.870000,11.030000,10.208431,33891600\n2010-07-15,11.040000,11.050000,10.590000,10.720000,9.921521,23827200\n2010-07-16,10.720000,10.750000,10.010000,10.050000,9.301429,32215100\n2010-07-19,10.190000,10.500000,10.120000,10.460000,9.680890,19961000\n2010-07-20,10.190000,10.780000,10.100000,10.720000,9.921521,29024700\n2010-07-21,10.820000,10.830000,10.270000,10.370000,9.597591,15623500\n2010-07-22,10.480000,10.650000,10.420000,10.540000,9.754930,11565300\n2010-07-23,10.530000,10.540000,10.260000,10.360000,9.588335,20440100\n2010-07-26,10.330000,10.590000,10.170000,10.550000,9.764187,17088700\n2010-07-27,10.580000,10.600000,10.330000,10.460000,9.680890,17086800\n2010-07-28,10.290000,10.470000,10.100000,10.130000,9.375468,33020200\n2010-07-29,9.400000,9.600000,9.070000,9.130000,8.449953,66611900\n2010-07-30,9.060000,9.350000,8.920000,9.190000,8.505485,24607200\n2010-08-02,9.350000,9.390000,9.140000,9.180000,8.496228,22925500\n2010-08-03,9.110000,9.120000,8.870000,8.940000,8.274104,23886100\n2010-08-04,9.020000,9.350000,8.980000,9.320000,8.625798,21387400\n2010-08-05,9.350000,9.460000,9.180000,9.440000,8.736864,20012600\n2010-08-06,9.400000,9.650000,9.320000,9.550000,8.838668,18497600\n2010-08-09,9.650000,9.660000,9.410000,9.640000,8.921967,11661400\n2010-08-10,9.480000,9.500000,9.200000,9.240000,8.551761,19314000\n2010-08-11,9.050000,9.050000,8.850000,8.880000,8.218574,19903700\n2010-08-12,8.720000,9.160000,8.650000,8.960000,8.292617,33589600\n2010-08-13,9.250000,9.520000,9.230000,9.390000,8.690591,44934800\n2010-08-16,9.260000,9.450000,9.030000,9.150000,8.468465,20350200\n2010-08-17,9.240000,9.440000,9.150000,9.270000,8.579525,12030600\n2010-08-18,9.240000,9.400000,9.180000,9.320000,8.625798,8823000\n2010-08-19,9.420000,9.910000,9.370000,9.880000,9.144089,40377500\n2010-08-20,9.810000,10.210000,9.800000,9.970000,9.227387,32632700\n2010-08-23,10.000000,10.250000,9.790000,9.820000,9.088557,18715500\n2010-08-24,9.500000,9.820000,9.480000,9.720000,8.996009,16033300\n2010-08-25,9.610000,10.000000,9.560000,9.920000,9.181109,18938300\n2010-08-26,10.050000,10.160000,9.800000,9.800000,9.070047,16439900\n2010-08-27,9.860000,10.200000,9.610000,10.120000,9.366214,26510400\n2010-08-30,10.000000,10.080000,9.640000,9.640000,8.921967,15070100\n2010-08-31,9.500000,9.800000,9.300000,9.330000,8.635056,23287200\n2010-09-01,9.470000,9.590000,9.350000,9.400000,8.699843,21286000\n2010-09-02,9.430000,9.600000,9.340000,9.570000,8.857183,14907300\n2010-09-03,9.800000,9.930000,9.680000,9.900000,9.162601,14162100\n2010-09-07,9.870000,10.220000,9.850000,9.990000,9.245894,22495500\n2010-09-08,10.010000,10.390000,9.900000,10.320000,9.551317,30603900\n2010-09-09,10.450000,10.460000,10.050000,10.180000,9.421743,17443700\n2010-09-10,10.250000,10.280000,9.980000,10.070000,9.319938,15232300\n2010-09-13,10.250000,10.770000,10.250000,10.640000,9.847481,25394800\n2010-09-14,10.550000,10.680000,10.450000,10.540000,9.754930,17463400\n2010-09-15,10.440000,10.570000,10.300000,10.560000,9.773440,13889300\n2010-09-16,10.420000,10.660000,10.420000,10.570000,9.782695,9132000\n2010-09-17,10.670000,10.680000,10.520000,10.550000,9.764187,10422100\n2010-09-20,10.550000,10.750000,10.450000,10.710000,9.912269,11079200\n2010-09-21,10.650000,11.470000,10.650000,11.290000,10.449068,44490600\n2010-09-22,11.250000,11.490000,11.180000,11.390000,10.541617,24999900\n2010-09-23,11.520000,11.980000,11.420000,11.620000,10.754486,31021800\n2010-09-24,11.880000,12.300000,11.790000,12.260000,11.346816,27174400\n2010-09-27,12.350000,12.360000,11.840000,12.000000,11.106183,24987600\n2010-09-28,12.010000,12.140000,11.760000,11.970000,11.078419,18079800\n2010-09-29,11.860000,12.230000,11.750000,11.880000,10.995119,24372600\n2010-09-30,12.030000,12.170000,11.580000,11.680000,10.810018,19690800\n2010-10-01,11.850000,11.870000,11.260000,11.350000,10.504598,24978000\n2010-10-04,11.240000,11.430000,11.010000,11.240000,10.402789,18737500\n2010-10-05,11.480000,11.500000,11.290000,11.320000,10.476832,18839700\n2010-10-06,11.320000,11.370000,10.670000,10.780000,9.977053,26440100\n2010-10-07,10.830000,10.840000,10.380000,10.700000,9.903011,19037200\n2010-10-08,10.660000,10.950000,10.510000,10.860000,10.051095,17673300\n2010-10-11,10.910000,11.000000,10.760000,10.810000,10.004818,11067000\n2010-10-12,10.720000,11.070000,10.630000,11.020000,10.199178,15130200\n2010-10-13,11.200000,11.500000,11.080000,11.340000,10.495343,24218300\n2010-10-14,11.350000,11.370000,11.110000,11.160000,10.328749,14979300\n2010-10-15,11.340000,11.470000,11.160000,11.290000,10.449068,15998500\n2010-10-18,11.300000,11.410000,11.100000,11.360000,10.513852,11203900\n2010-10-19,11.110000,11.370000,11.020000,11.290000,10.449068,21653400\n2010-10-20,11.300000,11.600000,11.100000,11.290000,10.449068,19088300\n2010-10-21,11.300000,11.320000,10.920000,11.090000,10.263966,25360700\n2010-10-22,11.160000,11.890000,11.040000,11.800000,10.921079,33066900\n2010-10-25,11.890000,12.000000,11.780000,11.910000,11.022884,16828400\n2010-10-26,11.770000,12.050000,11.670000,11.870000,10.985863,16881200\n2010-10-27,11.760000,12.080000,11.730000,12.040000,11.143202,12419900\n2010-10-28,12.200000,12.240000,11.940000,12.050000,11.152459,17611200\n2010-10-29,12.030000,12.150000,11.900000,12.020000,11.124692,13866600\n2010-11-01,12.100000,12.290000,11.940000,12.040000,11.143202,11848000\n2010-11-02,12.090000,12.490000,12.020000,12.290000,11.374582,14525900\n2010-11-03,12.370000,12.460000,12.050000,12.380000,11.457877,16793700\n2010-11-04,12.500000,12.630000,12.380000,12.400000,11.476389,17500400\n2010-11-05,12.490000,12.720000,12.430000,12.610000,11.670746,18377900\n2010-11-08,12.600000,12.770000,12.500000,12.660000,11.717024,15128900\n2010-11-09,12.660000,12.760000,12.520000,12.590000,11.652235,15849100\n2010-11-10,12.680000,12.740000,12.500000,12.740000,11.791061,13025400\n2010-11-11,12.440000,12.820000,12.270000,12.610000,11.670746,27249500\n2010-11-12,13.090000,13.680000,13.030000,13.260000,12.272332,53564000\n2010-11-15,13.320000,13.510000,13.070000,13.100000,12.124250,18338700\n2010-11-16,12.880000,13.060000,12.690000,12.710000,11.763298,18483900\n2010-11-17,12.700000,13.070000,12.580000,12.920000,11.957652,13794100\n2010-11-18,13.090000,13.450000,13.090000,13.320000,12.327860,24828000\n2010-11-19,13.290000,13.800000,13.270000,13.750000,12.725834,17912100\n2010-11-22,13.660000,13.840000,13.540000,13.760000,12.735090,11566700\n2010-11-23,13.600000,13.740000,13.340000,13.440000,12.438923,11445800\n2010-11-24,13.580000,13.820000,13.570000,13.770000,12.744344,9944600\n2010-11-26,13.760000,13.840000,13.600000,13.600000,12.587007,3577600\n2010-11-29,13.540000,13.800000,13.480000,13.750000,12.725834,11704800\n2010-11-30,13.540000,13.680000,13.360000,13.610000,12.596261,18023400\n2010-12-01,13.880000,14.300000,13.860000,14.210000,13.151568,15663400\n2010-12-02,14.210000,14.470000,14.200000,14.380000,13.308910,13232900\n2010-12-03,14.310000,14.790000,14.280000,14.790000,13.688369,15151100\n2010-12-06,14.840000,14.870000,14.450000,14.510000,13.429223,10960600\n2010-12-07,14.850000,15.330000,14.820000,14.980000,13.864214,25670300\n2010-12-08,14.960000,15.270000,14.850000,15.110000,13.984533,15331300\n2010-12-09,14.750000,14.960000,14.540000,14.860000,13.753155,23560200\n2010-12-10,14.860000,15.090000,14.820000,14.950000,13.836452,11297500\n2010-12-13,15.010000,15.040000,14.530000,14.570000,13.484754,15227700\n2010-12-14,14.850000,15.120000,14.570000,14.590000,13.503265,18879000\n2010-12-15,14.620000,14.800000,14.250000,14.270000,13.207104,15604400\n2010-12-16,14.420000,14.500000,14.250000,14.290000,13.225613,15796800\n2010-12-17,14.300000,14.450000,14.130000,14.370000,13.299651,14828900\n2010-12-20,14.420000,14.490000,14.300000,14.310000,13.244121,8602200\n2010-12-21,14.450000,14.870000,14.440000,14.870000,13.762410,11673800\n2010-12-22,14.840000,15.050000,14.700000,15.030000,13.910491,11949700\n2010-12-23,15.030000,15.030000,14.860000,14.920000,13.808686,6844600\n2010-12-27,14.880000,15.110000,14.610000,15.000000,13.882729,6387500\n2010-12-28,15.000000,15.100000,14.850000,14.940000,13.827196,4856500\n2010-12-29,14.930000,15.050000,14.800000,14.940000,13.827196,4441500\n2010-12-30,14.920000,15.080000,14.870000,14.990000,13.873473,4362200\n2010-12-31,15.000000,15.420000,14.980000,15.400000,14.252933,9781300\n2011-01-03,15.520000,15.970000,15.500000,15.820000,14.641649,20436200\n2011-01-04,15.850000,15.920000,15.420000,15.770000,14.595375,16284600\n2011-01-05,16.059999,17.000000,15.900000,16.980000,15.715242,35705400\n2011-01-06,17.420000,19.340000,17.370001,19.330000,17.890209,87332800\n2011-01-07,19.110001,19.930000,18.680000,19.870001,18.389984,64499600\n2011-01-10,19.510000,20.670000,19.360001,20.629999,19.093374,43758700\n2011-01-11,20.910000,21.110001,19.870001,20.309999,18.797215,67777200\n2011-01-12,20.320000,23.370001,20.250000,23.350000,21.610779,85797400\n2011-01-13,23.100000,23.840000,22.379999,23.389999,21.647800,67379800\n2011-01-14,22.990000,23.980000,22.850000,23.590000,21.832897,39883800\n2011-01-18,23.270000,23.430000,22.469999,23.040001,21.323872,45333700\n2011-01-19,23.049999,23.600000,22.360001,22.410000,20.740799,29947400\n2011-01-20,22.190001,22.559999,21.790001,22.430000,20.759306,27785200\n2011-01-21,22.670000,22.990000,22.180000,22.219999,20.564943,18481100\n2011-01-24,23.240000,25.049999,22.980000,24.730000,22.887989,51422500\n2011-01-25,24.620001,24.879999,23.809999,23.969999,22.184601,27171400\n2011-01-26,24.219999,25.000000,24.049999,24.540001,22.712139,26866500\n2011-01-27,24.889999,24.950001,24.000000,24.469999,22.647354,16434900\n2011-01-28,24.530001,24.940001,23.200001,23.760000,21.990238,27369900\n2011-01-31,23.799999,24.250000,23.410000,23.920000,22.138323,18754000\n2011-02-01,24.129999,24.650000,23.969999,24.469999,22.647354,16352600\n2011-02-02,24.330000,26.170000,24.330000,25.580000,23.674685,40165400\n2011-02-03,25.620001,25.620001,24.549999,25.100000,23.230433,25769400\n2011-02-04,25.450001,25.870001,25.350000,25.670000,23.757975,21822500\n2011-02-07,25.320000,25.430000,24.510000,24.600000,22.767677,23355900\n2011-02-08,24.629999,24.790001,23.760000,23.870001,22.092047,26914600\n2011-02-09,23.959999,24.200001,22.860001,23.290001,21.555248,31938000\n2011-02-10,22.770000,23.209999,22.600000,22.820000,21.120253,26058800\n2011-02-11,22.740000,24.209999,22.370001,23.469999,21.721844,33981900\n2011-02-14,23.750000,24.500000,23.020000,23.110001,21.388655,32195700\n2011-02-15,23.150000,23.230000,22.450001,22.549999,20.870367,22174500\n2011-02-16,22.850000,23.709999,22.770000,23.379999,21.638540,32959100\n2011-02-17,22.719999,26.010000,22.610001,25.680000,23.767229,86752400\n2011-02-18,25.540001,25.950001,25.230000,25.629999,23.720953,34860300\n2011-02-22,24.790001,24.860001,23.129999,23.209999,21.481209,34916200\n2011-02-23,23.209999,23.430000,21.780001,22.110001,20.463144,37290100\n2011-02-24,22.219999,23.040001,22.059999,22.650000,20.962917,31153000\n2011-02-25,23.260000,23.500000,22.940001,23.120001,21.397911,19391300\n2011-02-28,23.500000,23.510000,22.139999,22.660000,20.972178,22592400\n2011-03-01,22.700001,22.990000,21.650000,21.650000,20.037405,24711200\n2011-03-02,21.620001,22.030001,20.250000,20.750000,19.204445,42953500\n2011-03-03,21.230000,21.350000,20.240000,20.870001,19.315498,39842600\n2011-03-04,20.889999,21.100000,20.530001,20.760000,19.213694,23994000\n2011-03-07,20.910000,20.980000,19.950001,20.469999,18.945293,25478500\n2011-03-08,20.690001,20.799999,19.120001,19.549999,18.093821,48679600\n2011-03-09,19.490000,19.680000,18.969999,19.139999,17.714365,32974400\n2011-03-10,18.700001,18.840000,17.900000,17.920000,16.585234,43068400\n2011-03-11,18.070000,18.549999,17.660000,18.049999,16.705549,37170800\n2011-03-14,18.190001,18.650000,17.900000,18.200001,16.844376,25084000\n2011-03-15,17.309999,17.959999,17.010000,17.660000,16.344597,31407000\n2011-03-16,17.500000,18.350000,17.299999,17.530001,16.224277,36913000\n2011-03-17,18.000000,18.030001,17.200001,17.860001,16.529703,30962900\n2011-03-18,18.139999,18.200001,17.600000,17.620001,16.307581,22174000\n2011-03-21,18.000000,18.180000,17.580000,17.760000,16.437147,18795800\n2011-03-22,17.709999,17.879999,17.370001,17.450001,16.150238,17958300\n2011-03-23,17.420000,17.860001,17.040001,17.809999,16.483425,19559900\n2011-03-24,18.190001,19.450001,18.150000,19.230000,17.797657,44514800\n2011-03-25,19.400000,19.450001,18.600000,18.629999,17.242340,29909800\n2011-03-28,19.070000,19.639999,18.900000,19.320000,17.880955,30107100\n2011-03-29,19.320000,19.389999,18.910000,19.170000,17.742123,17894100\n2011-03-30,19.320000,19.400000,18.209999,18.450001,17.075752,29408000\n2011-03-31,18.480000,18.680000,18.120001,18.459999,17.085007,16377800\n2011-04-01,18.700001,18.719999,17.950001,18.200001,16.844376,21251800\n2011-04-04,18.200001,18.250000,17.420000,17.549999,16.242788,23108200\n2011-04-05,17.809999,17.950001,17.540001,17.580000,16.270559,20526900\n2011-04-06,17.709999,17.730000,17.309999,17.459999,16.159498,21424600\n2011-04-07,17.500000,18.209999,17.430000,18.100000,16.751825,25530200\n2011-04-08,18.240000,18.240000,17.500000,17.549999,16.242788,18663800\n2011-04-11,17.620001,17.709999,17.129999,17.320000,16.029919,13655200\n2011-04-12,17.150000,17.490000,16.830000,17.370001,16.076199,21018900\n2011-04-13,17.549999,17.870001,17.330000,17.760000,16.437147,18739700\n2011-04-14,17.600000,18.520000,17.500000,18.510000,17.131287,31367600\n2011-04-15,18.370001,18.940001,18.280001,18.709999,17.316389,24243000\n2011-04-18,18.270000,18.389999,17.799999,18.090000,16.742569,18589600\n2011-04-19,18.100000,18.170000,17.530001,18.020000,16.677786,16496500\n2011-04-20,18.680000,18.950001,18.270000,18.570000,17.186817,16262900\n2011-04-21,18.770000,18.889999,18.480000,18.520000,17.140541,10532500\n2011-04-25,18.600000,19.120001,18.590000,18.809999,17.408937,15490300\n2011-04-26,18.969999,19.490000,18.780001,19.299999,17.862440,16900000\n2011-04-27,19.400000,19.400000,18.900000,19.299999,17.862440,11250100\n2011-04-28,19.299999,19.900000,19.080000,19.510000,18.056805,17100000\n2011-04-29,19.639999,20.440001,19.610001,20.000000,18.510302,20900000\n2011-05-02,20.420000,20.430000,19.629999,19.730000,18.260410,15345600\n2011-05-03,19.500000,19.559999,18.549999,18.790001,17.390429,20200000\n2011-05-04,18.850000,19.059999,18.299999,18.650000,17.260859,15983900\n2011-05-05,18.500000,18.879999,18.250000,18.660000,17.270111,13600000\n2011-05-06,19.049999,19.500000,18.900000,19.320000,17.880955,21027000\n2011-05-09,19.379999,19.850000,19.330000,19.750000,18.278925,17658200\n2011-05-10,19.910000,19.930000,19.580000,19.780001,18.306692,17274400\n2011-05-11,19.879999,20.080000,19.600000,19.870001,18.389984,15400000\n2011-05-12,19.799999,20.520000,19.750000,20.500000,18.973059,30600000\n2011-05-13,19.200001,19.250000,18.120001,18.260000,16.899906,50629800\n2011-05-16,18.209999,18.250000,17.690001,17.700001,16.381624,18204700\n2011-05-17,17.639999,17.650000,17.120001,17.629999,16.316832,35509100\n2011-05-18,17.700001,18.190001,17.639999,18.040001,16.696297,16471100\n2011-05-19,18.180000,18.190001,17.510000,17.780001,16.455658,16272100\n2011-05-20,17.740000,18.129999,17.660000,18.090000,16.742569,14395500\n2011-05-23,17.830000,18.200001,17.600000,18.070000,16.724060,14700000\n2011-05-24,18.160000,18.870001,18.110001,18.139999,16.788843,18009300\n2011-05-25,18.049999,18.480000,17.870001,18.360001,16.992456,13632800\n2011-05-26,18.360001,18.980000,18.309999,18.820000,17.418196,17660900\n2011-05-27,18.900000,19.530001,18.879999,19.500000,18.047544,16470600\n2011-05-31,19.879999,20.049999,19.400000,20.040001,18.547325,30017900\n2011-06-01,19.950001,19.980000,19.100000,19.139999,17.714365,19055200\n2011-06-02,19.170000,19.309999,18.820000,19.049999,17.631063,15189800\n2011-06-03,18.830000,19.000000,18.370001,18.459999,17.085007,13732500\n2011-06-06,18.430000,18.600000,18.049999,18.070000,16.724060,10899700\n2011-06-07,18.209999,18.309999,17.980000,18.059999,16.714800,10848900\n2011-06-08,17.969999,18.080000,17.430000,17.570000,16.261303,14232200\n2011-06-09,17.559999,17.600000,16.740000,17.370001,16.076199,18540800\n2011-06-10,17.400000,17.510000,16.980000,17.120001,15.844821,12338700\n2011-06-13,17.120001,17.340000,16.879999,17.000000,15.733760,14369000\n2011-06-14,17.150000,17.520000,17.070000,17.139999,15.863327,13364400\n2011-06-15,16.910000,17.010000,16.420000,16.770000,15.520890,23397900\n2011-06-16,16.780001,17.040001,15.950000,16.190001,14.984091,25622700\n2011-06-17,16.379999,16.389999,15.310000,15.810000,14.632396,36697100\n2011-06-20,15.670000,16.000000,15.500000,15.620000,14.456545,18649000\n2011-06-21,15.680000,16.080000,15.530000,15.960000,14.771221,17606900\n2011-06-22,15.850000,16.059999,15.710000,15.740000,14.567608,16293000\n2011-06-23,15.540000,16.320000,15.400000,16.209999,15.002598,18600600\n2011-06-24,16.129999,16.270000,15.640000,15.740000,14.567608,13226300\n2011-06-27,15.740000,15.840000,14.860000,15.410000,14.262189,28553800\n2011-06-28,15.410000,15.680000,15.300000,15.500000,14.345485,17305000\n2011-06-29,15.600000,15.900000,15.060000,15.740000,14.567608,24013600\n2011-06-30,15.780000,16.110001,15.540000,15.940000,14.752711,16307500\n2011-07-01,15.940000,16.209999,15.620000,16.150000,14.947068,13520100\n2011-07-05,16.129999,16.280001,15.740000,15.880000,14.697182,13382400\n2011-07-06,15.870000,15.900000,15.480000,15.670000,14.502824,13239500\n2011-07-07,15.750000,15.830000,15.450000,15.730000,14.558353,24653400\n2011-07-08,15.510000,15.620000,15.300000,15.430000,14.280700,15487900\n2011-07-11,15.140000,15.200000,14.850000,14.890000,13.780923,17859700\n2011-07-12,14.820000,14.960000,14.440000,14.690000,13.595817,21690100\n2011-07-13,14.890000,14.990000,14.520000,14.660000,13.568051,15859200\n2011-07-14,14.720000,14.810000,14.010000,14.080000,13.031255,27224900\n2011-07-15,14.160000,14.250000,13.810000,14.100000,13.049762,20693400\n2011-07-18,13.990000,14.070000,13.620000,13.800000,12.772108,20455000\n2011-07-19,13.840000,14.250000,13.840000,14.220000,13.160826,15055600\n2011-07-20,14.270000,14.350000,14.000000,14.040000,12.994231,16573900\n2011-07-21,14.060000,14.800000,13.850000,14.700000,13.605074,28585500\n2011-07-22,14.830000,15.050000,14.640000,15.000000,13.882729,18429800\n2011-07-25,14.770000,14.830000,14.550000,14.760000,13.660604,14173000\n2011-07-26,14.340000,14.700000,14.190000,14.400000,13.327418,17456900\n2011-07-27,14.200000,14.270000,13.820000,13.860000,12.827640,16305300\n2011-07-28,13.810000,14.120000,13.590000,13.830000,12.799874,16204400\n2011-07-29,13.690000,13.960000,13.620000,13.830000,12.799874,16941400\n2011-08-01,14.150000,14.610000,14.030000,14.570000,13.484754,25490500\n2011-08-02,14.470000,15.380000,14.420000,14.420000,13.345928,33910800\n2011-08-03,14.450000,14.860000,14.310000,14.810000,13.706879,19130900\n2011-08-04,14.540000,14.540000,13.400000,13.400000,12.401902,24493300\n2011-08-05,13.710000,13.880000,12.600000,12.950000,11.985421,31764700\n2011-08-08,12.320000,12.760000,11.850000,11.930000,11.041396,27104500\n2011-08-09,12.160000,12.950000,12.000000,12.930000,11.966911,33245800\n2011-08-10,12.550000,12.910000,12.270000,12.340000,11.420857,28501300\n2011-08-11,12.340000,13.590000,12.340000,13.410000,12.411159,26969800\n2011-08-12,14.840000,14.860000,12.670000,12.880000,11.920636,79894600\n2011-08-15,13.010000,13.400000,12.940000,13.370000,12.374138,21603800\n2011-08-16,13.220000,13.400000,12.750000,12.990000,12.022442,17921700\n2011-08-17,13.030000,13.250000,12.640000,12.810000,11.855849,13833200\n2011-08-18,12.230000,12.350000,11.800000,11.940000,11.050653,20064100\n2011-08-19,11.740000,12.390000,11.650000,11.730000,10.856294,19033300\n2011-08-22,12.060000,12.200000,11.810000,11.940000,11.050653,15296900\n2011-08-23,12.230000,13.240000,12.210000,13.230000,12.244564,23457800\n2011-08-24,13.200000,13.240000,12.700000,13.040000,12.068719,17187500\n2011-08-25,12.780000,13.010000,12.460000,12.480000,11.550429,17274200\n2011-08-26,12.430000,13.140000,12.210000,13.010000,12.040955,18316500\n2011-08-29,13.380000,13.410000,13.070000,13.360000,12.364880,15038200\n2011-08-30,13.270000,13.790000,13.180000,13.680000,12.661047,17119000\n2011-08-31,13.780000,13.920000,13.200000,13.310000,12.318607,17645200\n2011-09-01,13.490000,13.780000,13.270000,13.280000,12.290840,19057800\n2011-09-02,12.980000,13.160000,12.820000,12.920000,11.957652,11783900\n2011-09-06,12.500000,13.210000,12.380000,13.180000,12.198291,17406200\n2011-09-07,14.250000,14.640000,13.860000,14.250000,13.188593,40165500\n2011-09-08,14.110000,14.450000,13.950000,14.180000,13.123805,22004100\n2011-09-09,14.060000,14.440000,13.760000,13.880000,12.846150,21745700\n2011-09-12,13.690000,14.330000,13.690000,14.210000,13.151568,22912000\n2011-09-13,14.330000,14.600000,14.110000,14.530000,13.447735,21345900\n2011-09-14,14.910000,15.470000,14.900000,15.280000,14.141871,38679800\n2011-09-15,15.620000,15.700000,15.360000,15.500000,14.345485,18822700\n2011-09-16,15.530000,16.100000,15.380000,15.460000,14.308464,34789700\n2011-09-19,15.200000,15.310000,14.750000,15.140000,14.012299,24205100\n2011-09-20,15.330000,15.390000,14.680000,14.750000,13.651348,19810900\n2011-09-21,14.830000,15.090000,14.460000,14.470000,13.392203,17881300\n2011-09-22,13.900000,13.920000,13.250000,13.510000,12.503712,32865800\n2011-09-23,13.430000,14.180000,13.350000,13.790000,12.762855,25286000\n2011-09-26,13.960000,14.000000,13.200000,13.820000,12.790620,24303100\n2011-09-27,14.170000,14.290000,13.730000,13.840000,12.809130,19534700\n2011-09-28,13.870000,14.220000,13.200000,13.420000,12.420416,30913300\n2011-09-29,13.660000,13.890000,12.750000,13.090000,12.114991,21660400\n2011-09-30,12.880000,12.950000,12.490000,12.510000,11.578194,16944600\n2011-10-03,12.350000,12.740000,11.810000,11.810000,10.930335,23747400\n2011-10-04,11.520000,12.900000,11.470000,12.900000,11.939146,34038700\n2011-10-05,12.870000,13.480000,12.610000,13.360000,12.364880,21417700\n2011-10-06,13.430000,13.930000,13.410000,13.890000,12.855405,19329800\n2011-10-07,13.950000,14.360000,13.660000,14.150000,13.096040,20174400\n2011-10-10,14.390000,14.780000,14.360000,14.780000,13.679114,13359400\n2011-10-11,14.660000,14.900000,14.570000,14.620000,13.531032,20402000\n2011-10-12,14.900000,14.910000,14.600000,14.610000,13.521777,15301600\n2011-10-13,14.540000,15.490000,14.500000,15.460000,14.308464,21370800\n2011-10-14,15.730000,15.890000,15.340000,15.720000,14.549099,17561300\n2011-10-17,15.540000,15.540000,14.860000,14.940000,13.827196,15294500\n2011-10-18,14.860000,15.520000,14.770000,15.480000,14.326974,14772900\n2011-10-19,15.500000,15.770000,15.130000,15.170000,14.040063,13939200\n2011-10-20,14.760000,14.820000,13.840000,14.410000,13.336673,24757700\n2011-10-21,14.590000,14.830000,14.240000,14.480000,13.401456,15710700\n2011-10-24,14.540000,15.250000,14.510000,15.020000,13.901237,13381400\n2011-10-25,14.810000,14.930000,14.420000,14.450000,13.373693,14449900\n2011-10-26,14.730000,14.810000,14.200000,14.620000,13.531032,12577900\n2011-10-27,15.160000,15.400000,14.820000,15.250000,14.114105,14443300\n2011-10-28,15.120000,15.740000,15.080000,15.600000,14.438037,12253900\n2011-10-31,15.100000,15.190000,14.800000,14.800000,13.697624,12999600\n2011-11-01,14.260000,14.300000,13.920000,14.060000,13.012742,19770600\n2011-11-02,14.200000,14.270000,13.530000,13.820000,12.790620,24040200\n2011-11-03,13.970000,14.680000,13.600000,14.650000,13.558796,18734300\n2011-11-04,14.520000,14.870000,14.290000,14.820000,13.716134,16371000\n2011-11-07,14.710000,14.960000,14.400000,14.740000,13.642094,15338400\n2011-11-08,14.930000,15.170000,14.690000,15.080000,13.956767,13743200\n2011-11-09,14.730000,14.920000,14.260000,14.320000,13.253376,13306100\n2011-11-10,14.670000,14.820000,14.110000,14.470000,13.392203,24762100\n2011-11-11,14.880000,15.100000,14.070000,14.980000,13.864214,43789000\n2011-11-14,14.980000,15.130000,14.650000,14.690000,13.595817,12507300\n2011-11-15,14.550000,14.990000,14.510000,14.880000,13.771665,12641500\n2011-11-16,14.600000,14.990000,14.530000,14.580000,13.494012,12810500\n2011-11-17,14.550000,14.590000,13.800000,14.060000,13.012742,16437600\n2011-11-18,14.140000,14.140000,13.780000,13.930000,12.892426,12533800\n2011-11-21,13.710000,14.770000,13.500000,14.630000,13.540288,33269700\n2011-11-22,14.790000,15.160000,14.710000,15.080000,13.956767,32187000\n2011-11-23,14.920000,15.030000,14.430000,14.440000,13.364439,20633500\n2011-11-25,14.250000,14.580000,14.000000,14.040000,12.994231,10165500\n2011-11-28,14.500000,15.050000,14.500000,14.830000,13.725390,17265400\n2011-11-29,14.810000,15.100000,14.670000,14.910000,13.799432,15586000\n2011-11-30,15.360000,15.670000,15.230000,15.630000,14.465802,18258100\n2011-12-01,15.500000,15.860000,15.430000,15.820000,14.641649,13244000\n2011-12-02,15.990000,16.049999,15.570000,15.720000,14.549099,13661600\n2011-12-05,15.980000,16.000000,15.350000,15.480000,14.326974,16117400\n2011-12-06,15.570000,15.600000,15.100000,15.260000,14.123362,14345800\n2011-12-07,15.160000,15.280000,14.850000,15.170000,14.040063,12750400\n2011-12-08,15.020000,15.270000,14.640000,14.690000,13.595817,12287200\n2011-12-09,14.580000,15.020000,14.380000,14.900000,13.790175,13896000\n2011-12-12,14.580000,14.640000,14.260000,14.530000,13.447735,14330200\n2011-12-13,14.720000,14.900000,14.040000,14.130000,13.077529,12914900\n2011-12-14,14.010000,14.090000,13.430000,13.580000,12.568496,15900500\n2011-12-15,13.810000,13.900000,13.430000,13.460000,12.457435,10878700\n2011-12-16,13.570000,13.830000,13.450000,13.510000,12.503712,15477900\n2011-12-19,13.570000,13.730000,13.110000,13.160000,12.179779,11581900\n2011-12-20,13.460000,13.950000,13.460000,13.900000,12.864659,11130200\n2011-12-21,13.820000,13.970000,13.450000,13.720000,12.698068,13710600\n2011-12-22,13.760000,14.350000,13.760000,14.310000,13.244121,14414000\n2011-12-23,14.380000,14.400000,14.050000,14.170000,13.114550,6223700\n2011-12-27,14.110000,14.280000,14.020000,14.060000,13.012742,4892800\n2011-12-28,14.060000,14.090000,13.700000,13.710000,12.688812,5849000\n2011-12-29,13.850000,14.000000,13.650000,13.970000,12.929446,5277800\n2011-12-30,13.920000,14.070000,13.840000,13.860000,12.827640,4673900\n2012-01-03,14.300000,14.400000,14.010000,14.040000,12.994231,11701100\n2012-01-04,14.050000,14.260000,13.920000,14.200000,13.142314,8684300\n2012-01-05,14.130000,14.780000,14.070000,14.710000,13.614330,14088700\n2012-01-06,14.700000,14.710000,14.370000,14.540000,13.456992,13331300\n2012-01-09,14.550000,14.820000,14.440000,14.540000,13.456992,12706100\n2012-01-10,14.760000,14.770000,14.380000,14.480000,13.401456,13658200\n2012-01-11,14.350000,14.480000,14.130000,14.190000,13.133060,12106800\n2012-01-12,14.220000,14.230000,13.790000,14.100000,13.049762,16309100\n2012-01-13,14.000000,14.030000,13.660000,13.730000,12.707322,12607500\n2012-01-17,13.940000,13.940000,13.500000,13.520000,12.512964,15679400\n2012-01-18,13.780000,14.090000,13.710000,13.980000,12.938703,15816900\n2012-01-19,14.100000,14.370000,13.950000,14.350000,13.281140,15207800\n2012-01-20,14.330000,14.500000,14.170000,14.220000,13.160826,13656800\n2012-01-23,14.230000,14.620000,14.050000,14.610000,13.521777,14069800\n2012-01-24,14.510000,15.000000,14.500000,14.940000,13.827196,18273000\n2012-01-25,14.540000,14.890000,14.120000,14.850000,13.743901,31853800\n2012-01-26,15.070000,15.240000,14.630000,14.710000,13.614330,19991800\n2012-01-27,14.620000,14.990000,14.500000,14.910000,13.799432,11249900\n2012-01-30,14.650000,14.870000,14.430000,14.800000,13.697624,9976900\n2012-01-31,14.840000,14.850000,14.510000,14.770000,13.669857,8947500\n2012-02-01,14.940000,15.100000,14.730000,14.930000,13.817945,10700500\n2012-02-02,15.010000,15.550000,14.860000,15.490000,14.336228,17405900\n2012-02-03,15.720000,15.950000,15.690000,15.820000,14.641649,12380800\n2012-02-06,15.740000,15.760000,15.560000,15.700000,14.530591,6971700\n2012-02-07,15.720000,15.830000,15.460000,15.740000,14.567608,10257400\n2012-02-08,15.740000,16.620001,15.660000,16.309999,15.095154,21190300\n2012-02-09,16.510000,16.600000,16.270000,16.299999,15.085896,14048600\n2012-02-10,16.139999,16.200001,15.810000,15.900000,14.715692,11006700\n2012-02-13,16.299999,16.360001,15.820000,16.150000,14.947068,15266700\n2012-02-14,16.150000,16.379999,16.010000,16.240000,15.030365,11343900\n2012-02-15,16.389999,16.900000,16.129999,16.170000,14.965582,27771400\n2012-02-16,15.060000,16.580000,15.000000,16.450001,15.224727,47214700\n2012-02-17,16.459999,16.570000,15.700000,15.850000,14.669415,25509000\n2012-02-21,15.840000,16.320000,15.810000,15.930000,14.743457,12954400\n2012-02-22,15.850000,16.240000,15.800000,15.820000,14.641649,12310800\n2012-02-23,15.850000,16.000000,15.600000,15.910000,14.724942,8099200\n2012-02-24,15.960000,15.980000,15.720000,15.790000,14.613883,9166700\n2012-02-27,15.590000,15.660000,15.250000,15.470000,14.317719,18631700\n2012-02-28,15.470000,15.650000,15.170000,15.330000,14.188148,17497100\n2012-02-29,15.380000,15.640000,15.140000,15.150000,14.021555,17229900\n2012-03-01,15.210000,15.430000,15.150000,15.250000,14.114105,11248600\n2012-03-02,15.200000,15.600000,15.200000,15.380000,14.234423,17101900\n2012-03-05,15.270000,15.300000,14.750000,14.860000,13.753155,12871200\n2012-03-06,14.690000,14.810000,14.460000,14.720000,13.623584,11785000\n2012-03-07,14.800000,14.870000,14.600000,14.810000,13.706879,11049600\n2012-03-08,14.850000,15.010000,14.770000,14.860000,13.753155,10771300\n2012-03-09,14.900000,15.010000,14.740000,14.820000,13.716134,9195900\n2012-03-12,14.880000,14.980000,14.550000,14.590000,13.503265,7498700\n2012-03-13,14.650000,14.870000,14.580000,14.790000,13.688369,13832200\n2012-03-14,14.790000,14.820000,14.320000,14.370000,13.299651,18392700\n2012-03-15,14.410000,14.660000,14.360000,14.580000,13.494012,9559500\n2012-03-16,14.590000,14.660000,14.510000,14.600000,13.512524,10708500\n2012-03-19,14.680000,14.750000,14.570000,14.640000,13.549541,10135000\n2012-03-20,14.560000,14.560000,14.270000,14.400000,13.327418,11240400\n2012-03-21,14.400000,14.590000,14.240000,14.460000,13.382948,11696000\n2012-03-22,14.350000,14.560000,14.310000,14.440000,13.364439,10634300\n2012-03-23,14.400000,14.590000,14.300000,14.550000,13.466246,7886400\n2012-03-26,14.690000,14.790000,14.550000,14.720000,13.623584,7215000\n2012-03-27,14.780000,15.000000,14.750000,14.820000,13.716134,10499200\n2012-03-28,15.010000,15.360000,14.900000,15.160000,14.030810,22311200\n2012-03-29,15.140000,15.350000,14.950000,15.230000,14.095595,9317500\n2012-03-30,15.360000,15.490000,15.140000,15.400000,14.252933,13181000\n2012-04-02,15.360000,15.490000,15.110000,15.330000,14.188148,10194400\n2012-04-03,15.440000,15.460000,15.000000,15.080000,13.956767,10761900\n2012-04-04,14.850000,15.040000,14.560000,14.650000,13.558796,12397400\n2012-04-05,14.670000,14.850000,14.580000,14.630000,13.540288,9235600\n2012-04-09,14.400000,14.490000,14.160000,14.440000,13.364439,9137600\n2012-04-10,14.380000,14.580000,14.090000,14.160000,13.105297,11759000\n2012-04-11,14.350000,14.650000,14.300000,14.340000,13.271889,9324000\n2012-04-12,14.360000,14.760000,14.300000,14.680000,13.586561,9621700\n2012-04-13,14.550000,14.630000,14.150000,14.160000,13.105297,7783100\n2012-04-16,14.260000,14.300000,13.760000,13.990000,12.947957,11586700\n2012-04-17,14.030000,14.200000,13.970000,14.020000,12.975723,11517400\n2012-04-18,13.930000,14.000000,13.700000,13.870000,12.836898,10019100\n2012-04-19,13.690000,14.210000,13.590000,13.660000,12.642537,16679700\n2012-04-20,13.740000,13.780000,13.360000,13.390000,12.392650,12739800\n2012-04-23,13.160000,13.290000,12.910000,13.230000,12.244564,17656100\n2012-04-24,13.270000,13.380000,12.750000,12.820000,11.865105,18261000\n2012-04-25,13.010000,13.180000,12.770000,13.080000,12.105740,18177800\n2012-04-26,13.070000,13.200000,12.980000,13.090000,12.114991,13480200\n2012-04-27,13.070000,13.150000,12.840000,12.980000,12.013186,11883900\n2012-04-30,12.910000,13.070000,12.820000,13.000000,12.031697,6556700\n2012-05-01,12.930000,13.370000,12.930000,13.230000,12.244564,10217000\n2012-05-02,13.180000,13.230000,12.780000,12.850000,11.892871,17100200\n2012-05-03,12.880000,12.960000,12.550000,12.630000,11.689256,10488400\n2012-05-04,12.550000,12.620000,12.260000,12.260000,11.346816,13627300\n2012-05-07,12.480000,12.690000,12.370000,12.470000,11.541173,15111000\n2012-05-08,12.360000,12.540000,12.140000,12.460000,11.531922,11557800\n2012-05-09,12.240000,12.610000,12.120000,12.510000,11.578194,13015200\n2012-05-10,12.630000,12.650000,12.220000,12.420000,11.494897,14927300\n2012-05-11,13.450000,13.680000,13.160000,13.210000,12.226056,35878500\n2012-05-14,13.100000,13.330000,12.830000,13.130000,12.152014,10936800\n2012-05-15,13.130000,13.420000,12.940000,13.000000,12.031697,14998500\n2012-05-16,13.020000,13.170000,12.700000,12.740000,11.791061,11762100\n2012-05-17,12.790000,12.910000,12.650000,12.650000,11.707766,8384100\n2012-05-18,12.680000,12.740000,12.020000,12.080000,11.180222,14182200\n2012-05-21,12.100000,12.350000,12.020000,12.290000,11.374582,10406500\n2012-05-22,12.280000,12.300000,11.960000,12.140000,11.235756,10253500\n2012-05-23,12.010000,12.460000,11.830000,12.440000,11.513409,12400000\n2012-05-24,12.510000,12.530000,12.020000,12.110000,11.207987,13010500\n2012-05-25,12.100000,12.500000,12.100000,12.400000,11.476389,9793800\n2012-05-29,12.600000,12.800000,12.550000,12.720000,11.772552,7750000\n2012-05-30,12.580000,12.670000,12.350000,12.570000,11.633727,9494800\n2012-05-31,12.570000,12.620000,12.270000,12.430000,11.504153,8954800\n2012-06-01,12.170000,12.290000,11.960000,11.980000,11.087671,11024600\n2012-06-04,12.040000,12.110000,11.630000,11.730000,10.856294,10821400\n2012-06-05,11.670000,12.100000,11.670000,12.070000,11.170966,9130600\n2012-06-06,12.160000,12.420000,12.070000,12.390000,11.467134,9224200\n2012-06-07,12.570000,12.640000,11.880000,11.890000,11.004375,13169500\n2012-06-08,11.930000,12.160000,11.910000,12.120000,11.217242,9257700\n2012-06-11,12.510000,12.730000,12.230000,12.260000,11.346816,20977000\n2012-06-12,12.400000,12.630000,12.380000,12.510000,11.578194,12403200\n2012-06-13,12.500000,12.530000,12.120000,12.180000,11.272774,12356900\n2012-06-14,12.160000,12.260000,11.910000,12.030000,11.133947,14747100\n2012-06-15,12.120000,12.300000,12.010000,12.290000,11.374582,9632200\n2012-06-18,12.200000,12.500000,12.100000,12.400000,11.476389,7610600\n2012-06-19,12.910000,13.430000,12.850000,13.240000,12.253820,24011900\n2012-06-20,13.370000,13.700000,13.290000,13.450000,12.448180,24318000\n2012-06-21,13.440000,13.440000,12.810000,12.840000,11.883615,12909400\n2012-06-22,13.000000,13.150000,12.820000,13.000000,12.031697,21634000\n2012-06-25,13.010000,13.050000,12.540000,12.590000,11.652235,12365400\n2012-06-26,12.660000,12.820000,12.480000,12.730000,11.781806,10928800\n2012-06-27,12.740000,13.230000,12.740000,13.140000,12.161269,12651600\n2012-06-28,13.020000,13.320000,12.910000,13.240000,12.253820,13647400\n2012-06-29,13.550000,13.850000,13.540000,13.820000,12.790620,15412700\n2012-07-02,13.890000,13.900000,13.340000,13.450000,12.448180,14542100\n2012-07-03,13.450000,13.830000,13.440000,13.800000,12.772108,5482100\n2012-07-05,13.710000,13.770000,13.450000,13.660000,12.642537,7001900\n2012-07-06,13.560000,13.600000,13.250000,13.400000,12.401902,9569000\n2012-07-09,13.320000,13.380000,13.110000,13.220000,12.235312,7658400\n2012-07-10,13.080000,13.470000,12.720000,12.820000,11.865105,12800700\n2012-07-11,12.860000,13.020000,12.550000,12.610000,11.670746,12130400\n2012-07-12,12.470000,12.490000,12.290000,12.400000,11.476389,11804000\n2012-07-13,12.410000,12.620000,12.330000,12.560000,11.624471,8106500\n2012-07-16,12.480000,12.700000,12.360000,12.600000,11.661491,8361500\n2012-07-17,12.640000,12.710000,12.160000,12.370000,11.448624,11186900\n2012-07-18,12.340000,13.240000,12.280000,13.060000,12.087229,15400200\n2012-07-19,13.150000,13.360000,13.060000,13.190000,12.207544,10075900\n2012-07-20,13.110000,13.200000,12.670000,12.810000,11.855849,11275000\n2012-07-23,12.470000,13.070000,12.330000,12.980000,12.013186,11289600\n2012-07-24,13.000000,13.080000,12.690000,12.840000,11.883615,8779100\n2012-07-25,12.800000,13.220000,12.740000,13.090000,12.114991,10376100\n2012-07-26,13.330000,13.480000,13.050000,13.150000,12.170524,8461000\n2012-07-27,13.200000,13.520000,13.100000,13.480000,12.475944,9412900\n2012-07-30,13.480000,13.650000,13.220000,13.330000,12.337117,9088800\n2012-07-31,13.330000,13.730000,13.310000,13.540000,12.531474,9694700\n2012-08-01,13.620000,13.750000,13.330000,13.390000,12.392650,8397800\n2012-08-02,13.320000,13.640000,13.100000,13.440000,12.438923,9197800\n2012-08-03,13.650000,13.860000,13.330000,13.720000,12.698068,8163700\n2012-08-06,13.850000,14.080000,13.830000,14.010000,12.966466,9008100\n2012-08-07,14.180000,14.300000,14.070000,14.150000,13.096040,10183500\n2012-08-08,14.140000,14.380000,14.100000,14.230000,13.170080,12926600\n2012-08-09,14.250000,14.740000,14.230000,14.710000,13.614330,20557500\n2012-08-10,15.100000,15.220000,14.430000,14.620000,13.531032,31968600\n2012-08-13,14.640000,14.820000,14.580000,14.810000,13.706879,11181100\n2012-08-14,14.860000,14.880000,14.530000,14.590000,13.503265,9720700\n2012-08-15,14.640000,14.760000,14.410000,14.480000,13.401456,14860100\n2012-08-16,14.610000,14.830000,14.560000,14.780000,13.679114,9275200\n2012-08-17,14.780000,14.780000,14.520000,14.650000,13.558796,7746600\n2012-08-20,14.600000,14.670000,14.430000,14.650000,13.558796,7859800\n2012-08-21,14.700000,14.790000,14.460000,14.610000,13.521777,8506200\n2012-08-22,14.520000,14.700000,14.470000,14.640000,13.549541,7838900\n2012-08-23,14.610000,14.620000,14.250000,14.310000,13.244121,9476000\n2012-08-24,14.310000,14.670000,14.280000,14.600000,13.512524,8693100\n2012-08-27,14.590000,14.630000,14.340000,14.350000,13.281140,8523600\n2012-08-28,14.240000,14.430000,14.210000,14.290000,13.225613,7769100\n2012-08-29,14.280000,14.410000,14.250000,14.320000,13.253376,6260300\n2012-08-30,14.290000,14.340000,13.980000,14.050000,13.003490,7687200\n2012-08-31,14.150000,14.250000,13.890000,14.030000,12.984977,12126600\n2012-09-04,13.800000,13.850000,13.150000,13.280000,12.290840,17361300\n2012-09-05,13.330000,13.520000,13.180000,13.320000,12.327860,12006400\n2012-09-06,13.420000,14.090000,13.410000,13.730000,12.707322,16432400\n2012-09-07,13.380000,13.490000,12.950000,13.400000,12.401902,19526600\n2012-09-10,13.370000,13.560000,13.250000,13.280000,12.290840,9277700\n2012-09-11,13.270000,13.650000,13.220000,13.440000,12.438923,9570200\n2012-09-12,13.550000,13.660000,13.420000,13.590000,12.577751,8065200\n2012-09-13,13.710000,13.760000,13.420000,13.680000,12.661047,10845900\n2012-09-14,13.670000,14.080000,13.670000,13.840000,12.809130,8486700\n2012-09-17,13.870000,13.870000,13.310000,13.460000,12.457435,12333700\n2012-09-18,13.310000,13.710000,13.300000,13.550000,12.540729,8998800\n2012-09-19,13.580000,13.900000,13.420000,13.710000,12.688812,11298400\n2012-09-20,13.680000,13.750000,13.500000,13.610000,12.596261,8014900\n2012-09-21,13.630000,13.750000,13.580000,13.670000,12.651793,8503400\n2012-09-24,13.450000,13.680000,13.430000,13.660000,12.642537,8945800\n2012-09-25,13.840000,13.900000,13.390000,13.410000,12.411159,12038600\n2012-09-26,13.360000,13.370000,13.020000,13.180000,12.198291,10920300\n2012-09-27,13.210000,13.300000,13.100000,13.280000,12.290840,13972200\n2012-09-28,13.220000,13.530000,13.050000,13.340000,12.346373,12137700\n2012-10-01,13.400000,13.480000,13.070000,13.120000,12.142759,12605900\n2012-10-02,13.210000,13.210000,13.020000,13.170000,12.189035,7387300\n2012-10-03,13.200000,13.240000,12.970000,13.040000,12.068719,10771800\n2012-10-04,13.070000,13.700000,13.000000,13.620000,12.605517,12565200\n2012-10-05,13.660000,13.800000,13.250000,13.300000,12.309353,12076700\n2012-10-08,13.250000,13.310000,13.070000,13.170000,12.189035,6014900\n2012-10-09,13.150000,13.190000,12.850000,12.890000,11.929889,9159000\n2012-10-10,12.830000,12.890000,12.620000,12.670000,11.726276,8164200\n2012-10-11,12.790000,12.830000,12.640000,12.740000,11.791061,8012900\n2012-10-12,12.650000,12.750000,12.550000,12.630000,11.689256,6517400\n2012-10-15,12.650000,12.800000,12.500000,12.790000,11.837342,6239500\n2012-10-16,12.900000,13.200000,12.780000,13.160000,12.179779,9192400\n2012-10-17,13.000000,13.120000,12.870000,13.060000,12.087229,9793800\n2012-10-18,13.030000,13.030000,12.810000,12.860000,11.902123,6369300\n2012-10-19,12.670000,12.760000,12.040000,12.110000,11.207987,17735300\n2012-10-22,12.160000,12.230000,11.870000,11.970000,11.078419,12021000\n2012-10-23,11.860000,12.410000,11.830000,12.330000,11.411600,14348700\n2012-10-24,12.410000,12.460000,12.050000,12.170000,11.263521,8322900\n2012-10-25,12.270000,12.400000,12.130000,12.180000,11.272774,7683900\n2012-10-26,12.200000,12.270000,12.050000,12.050000,11.152459,9734400\n2012-10-31,12.100000,12.200000,11.950000,11.980000,11.087671,8677800\n2012-11-01,12.040000,12.560000,12.030000,12.550000,11.615216,11830500\n2012-11-02,12.680000,12.700000,12.410000,12.490000,11.559683,6417500\n2012-11-05,12.460000,13.070000,12.460000,13.020000,12.050210,11121000\n2012-11-06,13.050000,13.050000,12.790000,13.010000,12.040955,8770100\n2012-11-07,12.910000,12.990000,12.550000,12.610000,11.670746,8115500\n2012-11-08,12.750000,13.080000,12.650000,12.680000,11.735536,20975600\n2012-11-09,12.750000,12.900000,12.150000,12.190000,11.282030,21157000\n2012-11-12,12.210000,12.260000,11.800000,11.920000,11.032143,16090600\n2012-11-13,11.860000,12.130000,11.820000,11.830000,10.948846,12303000\n2012-11-14,11.900000,12.020000,11.530000,11.540000,10.680446,15482500\n2012-11-15,11.610000,11.910000,11.510000,11.590000,10.726722,11667200\n2012-11-16,11.590000,11.630000,11.150000,11.380000,10.532364,15613800\n2012-11-19,11.590000,11.740000,11.450000,11.700000,10.828526,10102300\n2012-11-20,11.580000,11.630000,11.370000,11.490000,10.702775,8424400\n2012-11-21,11.490000,11.850000,11.480000,11.820000,11.010168,10557800\n2012-11-23,11.870000,12.040000,11.810000,11.900000,11.084687,6923300\n2012-11-26,11.920000,12.140000,11.900000,12.110000,11.280297,9115000\n2012-11-27,12.060000,12.340000,11.960000,12.160000,11.326873,11285100\n2012-11-28,12.110000,12.320000,11.960000,12.260000,11.420021,9958300\n2012-11-29,12.280000,12.340000,12.000000,12.040000,11.215091,12217200\n2012-11-30,12.030000,12.120000,11.900000,11.970000,11.149891,11512600\n2012-12-03,12.120000,12.120000,11.720000,11.750000,10.944963,9784500\n2012-12-04,11.770000,12.120000,11.700000,12.100000,11.270984,13201700\n2012-12-05,12.000000,12.080000,11.790000,11.960000,11.140575,15825600\n2012-12-06,11.930000,12.060000,11.890000,11.980000,11.159203,10322400\n2012-12-07,11.990000,12.050000,11.820000,11.960000,11.140575,8457200\n2012-12-10,11.960000,12.450000,11.930000,12.360000,11.513167,12841100\n2012-12-11,12.400000,12.810000,12.370000,12.650000,11.783299,20418100\n2012-12-12,12.690000,12.760000,12.470000,12.520000,11.662207,9985100\n2012-12-13,12.500000,12.770000,12.410000,12.530000,11.671519,9438900\n2012-12-14,12.580000,12.720000,12.490000,12.590000,11.727410,8466500\n2012-12-17,12.560000,12.630000,12.350000,12.540000,11.680838,11130800\n2012-12-18,12.540000,12.700000,12.500000,12.560000,11.699467,10410900\n2012-12-19,12.650000,12.800000,12.600000,12.650000,11.783299,11463600\n2012-12-20,12.700000,12.710000,12.500000,12.640000,11.773988,8358300\n2012-12-21,12.470000,12.470000,12.210000,12.350000,11.503856,11554300\n2012-12-24,12.340000,12.380000,12.210000,12.250000,11.410707,3184400\n2012-12-26,12.220000,12.420000,12.190000,12.240000,11.401391,4918500\n2012-12-27,12.260000,12.280000,12.020000,12.160000,11.326873,7495100\n2012-12-28,12.050000,12.290000,12.030000,12.100000,11.270984,5515000\n2012-12-31,12.060000,12.310000,12.030000,12.260000,11.420021,8161500\n2013-01-02,12.560000,12.730000,12.510000,12.720000,11.848505,11970900\n2013-01-03,12.720000,12.870000,12.580000,12.730000,11.857819,7472200\n2013-01-04,12.750000,13.190000,12.710000,13.150000,12.249041,13124200\n2013-01-07,13.140000,13.180000,12.680000,12.770000,11.895081,15268300\n2013-01-08,12.800000,12.840000,12.400000,12.490000,11.634263,11660600\n2013-01-09,12.590000,12.650000,12.130000,12.210000,11.373447,17375500\n2013-01-10,12.320000,12.380000,12.160000,12.230000,11.392076,12659200\n2013-01-11,12.280000,12.290000,12.090000,12.210000,11.373447,12829300\n2013-01-14,12.290000,12.290000,12.060000,12.200000,11.364130,7642100\n2013-01-15,12.140000,12.140000,11.910000,11.980000,11.159203,9397200\n2013-01-16,11.960000,12.190000,11.960000,12.090000,11.261669,8434400\n2013-01-17,12.130000,12.300000,12.100000,12.250000,11.410707,14518400\n2013-01-18,12.250000,12.250000,12.020000,12.170000,11.336187,9927200\n2013-01-22,12.160000,12.270000,12.050000,12.110000,11.280297,7705600\n2013-01-23,12.150000,12.160000,12.000000,12.130000,11.298926,10545200\n2013-01-24,12.090000,12.240000,12.030000,12.190000,11.354815,9924500\n2013-01-25,12.210000,12.420000,12.150000,12.410000,11.559747,9848000\n2013-01-28,12.470000,12.690000,12.440000,12.610000,11.746040,10562300\n2013-01-29,12.560000,12.590000,12.290000,12.340000,11.494538,9721800\n2013-01-30,12.350000,12.520000,12.280000,12.320000,11.475911,7189800\n2013-01-31,12.320000,12.460000,12.180000,12.260000,11.420021,11763600\n2013-02-01,12.360000,12.410000,12.260000,12.370000,11.522485,7220400\n2013-02-04,12.300000,12.550000,12.150000,12.160000,11.326873,12793600\n2013-02-05,12.220000,12.510000,12.180000,12.440000,11.587689,9182400\n2013-02-06,12.140000,12.440000,12.070000,12.340000,11.494538,13267200\n2013-02-07,12.300000,12.400000,12.170000,12.290000,11.447966,11000000\n2013-02-08,12.370000,12.470000,12.290000,12.370000,11.522485,7680800\n2013-02-11,12.470000,12.640000,12.350000,12.510000,11.652892,10207700\n2013-02-12,12.400000,12.570000,12.380000,12.430000,11.578375,6945100\n2013-02-13,12.440000,12.670000,12.330000,12.370000,11.522485,21409900\n2013-02-14,12.200000,12.740000,12.050000,12.730000,11.857819,22052400\n2013-02-15,12.700000,12.790000,12.450000,12.730000,11.857819,18346500\n2013-02-19,12.740000,12.750000,12.480000,12.560000,11.699467,10838800\n2013-02-20,12.600000,12.800000,12.340000,12.380000,11.531799,17825300\n2013-02-21,12.360000,12.500000,12.260000,12.290000,11.447966,14510200\n2013-02-22,12.370000,12.530000,12.300000,12.520000,11.662207,9253700\n2013-02-25,12.550000,12.650000,12.280000,12.300000,11.457280,16111100\n2013-02-26,12.250000,12.440000,12.210000,12.370000,11.593175,12187600\n2013-02-27,12.370000,12.690000,12.340000,12.600000,11.808730,11924500\n2013-02-28,12.560000,12.850000,12.510000,12.660000,11.864965,14784800\n2013-03-01,12.570000,12.750000,12.460000,12.710000,11.911822,9734900\n2013-03-04,12.620000,12.780000,12.520000,12.660000,11.864965,8842000\n2013-03-05,12.730000,12.820000,12.670000,12.800000,11.996166,9154200\n2013-03-06,12.880000,13.000000,12.730000,12.790000,11.986802,8573200\n2013-03-07,12.860000,12.990000,12.690000,12.760000,11.958680,7870600\n2013-03-08,12.790000,12.880000,12.730000,12.820000,12.014915,6161600\n2013-03-11,12.690000,12.750000,12.590000,12.700000,11.902450,7493700\n2013-03-12,12.680000,12.780000,12.560000,12.740000,11.939939,7771400\n2013-03-13,12.740000,12.960000,12.620000,12.740000,11.939939,12146000\n2013-03-14,12.820000,12.860000,12.670000,12.750000,11.949310,9582600\n2013-03-15,12.750000,12.750000,12.590000,12.640000,11.846218,8894400\n2013-03-18,12.560000,12.670000,12.460000,12.550000,11.761870,7457800\n2013-03-19,12.560000,12.620000,12.380000,12.470000,11.686893,8887000\n2013-03-20,12.590000,12.660000,12.480000,12.620000,11.827474,8514700\n2013-03-21,12.550000,12.570000,12.400000,12.420000,11.640034,8475800\n2013-03-22,12.460000,12.530000,12.410000,12.480000,11.696265,5811900\n2013-03-25,12.550000,12.560000,12.320000,12.410000,11.630664,9051900\n2013-03-26,12.440000,12.510000,12.390000,12.500000,11.715012,5813500\n2013-03-27,12.450000,12.720000,12.420000,12.650000,11.855590,6373600\n2013-03-28,12.620000,12.840000,12.530000,12.830000,12.024289,8731900\n2013-04-01,12.800000,12.800000,12.320000,12.410000,11.630664,11070700\n2013-04-02,12.420000,12.450000,12.200000,12.280000,11.508826,9288100\n2013-04-03,12.260000,12.330000,12.040000,12.130000,11.368246,8828900\n2013-04-04,12.090000,12.290000,12.050000,12.250000,11.480711,7366900\n2013-04-05,12.070000,12.460000,12.040000,12.460000,11.677524,13783800\n2013-04-08,12.470000,12.470000,12.200000,12.430000,11.649407,8166500\n2013-04-09,12.440000,12.720000,12.350000,12.630000,11.836847,9514600\n2013-04-10,12.640000,12.850000,12.610000,12.830000,12.024289,9617200\n2013-04-11,12.650000,12.850000,12.300000,12.770000,11.968055,24230500\n2013-04-12,12.830000,13.230000,12.720000,13.090000,12.267958,19263700\n2013-04-15,13.050000,13.090000,12.740000,12.820000,12.014915,10760500\n2013-04-16,12.940000,13.050000,12.870000,12.960000,12.146123,11721100\n2013-04-17,12.860000,12.980000,12.710000,12.790000,11.986802,13323700\n2013-04-18,12.820000,12.900000,12.540000,12.540000,11.752500,10063700\n2013-04-19,12.530000,12.610000,12.370000,12.570000,11.780614,7575700\n2013-04-22,12.560000,12.700000,12.460000,12.590000,11.799358,6139200\n2013-04-23,12.700000,13.050000,12.680000,12.920000,12.108632,9423700\n2013-04-24,12.960000,13.470000,12.950000,13.360000,12.521003,13913900\n2013-04-25,13.430000,13.500000,13.310000,13.470000,12.624096,8830600\n2013-04-26,13.450000,13.470000,13.340000,13.410000,12.567863,8108300\n2013-04-29,13.430000,13.620000,13.370000,13.570000,12.717815,6742800\n2013-04-30,13.600000,13.770000,13.510000,13.770000,12.905254,6917800\n2013-05-01,13.770000,13.860000,13.600000,13.650000,12.792790,8532900\n2013-05-02,13.640000,13.850000,13.560000,13.810000,12.942741,8087000\n2013-05-03,13.900000,13.970000,13.820000,13.870000,12.998977,7346600\n2013-05-06,13.870000,13.950000,13.750000,13.830000,12.961487,5427900\n2013-05-07,13.830000,13.860000,13.520000,13.650000,12.792790,11201700\n2013-05-08,13.670000,13.980000,13.620000,13.900000,13.027090,8350800\n2013-05-09,13.650000,13.970000,13.630000,13.910000,13.036464,14170000\n2013-05-10,14.200000,14.600000,14.200000,14.540000,13.626901,21528400\n2013-05-13,14.440000,14.500000,14.180000,14.240000,13.345739,7245300\n2013-05-14,14.410000,14.570000,14.270000,14.450000,13.542554,11353500\n2013-05-15,14.380000,14.750000,14.380000,14.700000,13.776852,7829300\n2013-05-16,14.680000,14.830000,14.580000,14.630000,13.711250,7709200\n2013-05-17,14.700000,14.970000,14.590000,14.870000,13.936177,7802900\n2013-05-20,14.810000,14.900000,14.760000,14.840000,13.908061,5909500\n2013-05-21,14.850000,14.980000,14.680000,14.920000,14.054066,8944600\n2013-05-22,14.980000,14.980000,14.340000,14.400000,13.564244,12010100\n2013-05-23,14.230000,14.680000,14.190000,14.630000,13.780897,9847100\n2013-05-24,14.550000,14.670000,14.380000,14.540000,13.696119,7082600\n2013-05-28,14.650000,14.690000,14.390000,14.530000,13.686699,6982500\n2013-05-29,14.440000,14.530000,14.380000,14.440000,13.601923,8376300\n2013-05-30,14.420000,14.780000,14.380000,14.630000,13.780897,7112600\n2013-05-31,14.550000,14.760000,14.470000,14.470000,13.630183,14437700\n2013-06-03,14.490000,14.600000,14.150000,14.450000,13.611341,11111700\n2013-06-04,14.540000,14.800000,14.380000,14.470000,13.630183,9091900\n2013-06-05,14.450000,14.560000,14.120000,14.160000,13.338175,11613000\n2013-06-06,14.160000,14.360000,14.150000,14.250000,13.422951,8526100\n2013-06-07,14.350000,14.540000,14.290000,14.450000,13.611341,6864600\n2013-06-10,14.410000,14.530000,14.330000,14.440000,13.601923,5603700\n2013-06-11,14.250000,14.450000,14.170000,14.170000,13.347591,7408400\n2013-06-12,14.240000,14.360000,13.970000,14.050000,13.234560,7814700\n2013-06-13,14.000000,14.440000,13.990000,14.370000,13.535985,5906400\n2013-06-14,14.420000,14.440000,14.250000,14.350000,13.517149,5900300\n2013-06-17,14.460000,14.620000,14.380000,14.490000,13.649022,6383400\n2013-06-18,14.560000,14.720000,14.280000,14.400000,13.564244,12169300\n2013-06-19,14.530000,15.480000,14.480000,14.840000,13.978707,28989700\n2013-06-20,14.720000,14.740000,14.340000,14.440000,13.601923,15717400\n2013-06-21,14.520000,14.570000,14.180000,14.420000,13.583083,17855700\n2013-06-24,14.210000,14.390000,13.910000,14.120000,13.300495,14519300\n2013-06-25,14.270000,14.300000,14.070000,14.220000,13.394695,11434000\n2013-06-26,14.380000,14.400000,14.080000,14.140000,13.319337,14493800\n2013-06-27,14.180000,14.200000,13.860000,14.010000,13.196878,20200900\n2013-06-28,14.010000,14.180000,13.830000,14.040000,13.225141,10788400\n2013-07-01,14.140000,14.170000,14.010000,14.100000,13.281655,4988100\n2013-07-02,14.020000,14.300000,13.960000,14.090000,13.272236,6409800\n2013-07-03,13.970000,14.300000,13.970000,14.130000,13.309916,3509700\n2013-07-05,14.170000,14.270000,14.080000,14.240000,13.413530,4617100\n2013-07-08,14.280000,14.350000,14.090000,14.170000,13.347591,6552100\n2013-07-09,14.200000,14.330000,14.160000,14.240000,13.413530,3934100\n2013-07-10,14.240000,14.470000,14.200000,14.430000,13.592507,5211700\n2013-07-11,14.510000,14.650000,14.480000,14.630000,13.780897,5995800\n2013-07-12,14.600000,14.780000,14.550000,14.640000,13.790315,5409000\n2013-07-15,14.670000,14.670000,14.380000,14.610000,13.762056,5033300\n2013-07-16,14.670000,14.770000,14.600000,14.690000,13.837413,4064000\n2013-07-17,14.690000,14.740000,14.570000,14.610000,13.762056,4152500\n2013-07-18,14.590000,14.640000,14.360000,14.550000,13.705538,8612200\n2013-07-19,14.460000,14.530000,14.090000,14.240000,13.413530,12013300\n2013-07-22,14.350000,14.480000,14.170000,14.230000,13.404108,7309600\n2013-07-23,14.410000,14.410000,14.140000,14.210000,13.385272,6169800\n2013-07-24,14.340000,14.380000,14.190000,14.210000,13.385272,7106300\n2013-07-25,14.200000,14.450000,14.100000,14.260000,13.432370,6083000\n2013-07-26,14.090000,14.290000,14.090000,14.200000,13.375853,5684000\n2013-07-29,14.170000,14.350000,14.130000,14.170000,13.347591,4488500\n2013-07-30,14.220000,14.600000,14.210000,14.410000,13.573665,6651900\n2013-07-31,14.340000,14.580000,14.330000,14.440000,13.601923,6754000\n2013-08-01,14.490000,14.670000,14.320000,14.640000,13.790315,6941200\n2013-08-02,14.610000,14.790000,14.510000,14.760000,13.903353,5240700\n2013-08-05,14.720000,14.880000,14.640000,14.830000,13.969288,4629700\n2013-08-06,14.840000,14.870000,14.580000,14.610000,13.762056,5165200\n2013-08-07,14.530000,14.750000,14.520000,14.600000,13.752641,6109500\n2013-08-08,14.680000,14.770000,14.510000,14.700000,13.846831,8642400\n2013-08-09,14.120000,14.710000,14.110000,14.490000,13.649022,22655600\n2013-08-12,13.900000,14.580000,13.110000,14.370000,13.535985,6439200\n2013-08-13,14.390000,14.480000,14.300000,14.420000,13.583083,4936700\n2013-08-14,14.390000,15.120000,14.380000,15.030000,14.157681,20712700\n2013-08-15,14.870000,15.250000,14.810000,15.130000,14.251877,18090400\n2013-08-16,15.100000,15.400000,15.070000,15.190000,14.308393,16511400\n2013-08-19,15.100000,15.150000,14.940000,14.950000,14.082324,9835800\n2013-08-20,14.870000,15.050000,14.850000,14.950000,14.153326,5854800\n2013-08-21,14.860000,15.050000,14.820000,14.880000,14.087059,6538500\n2013-08-22,14.870000,15.100000,14.870000,14.960000,14.162795,3225400\n2013-08-23,14.980000,15.100000,14.930000,14.960000,14.162795,6128000\n2013-08-26,14.970000,15.030000,14.930000,14.990000,14.191192,7503800\n2013-08-27,14.850000,14.950000,14.750000,14.800000,14.011321,6936600\n2013-08-28,14.830000,14.940000,14.740000,14.800000,14.011321,7970600\n2013-08-29,14.750000,14.910000,14.710000,14.770000,13.982918,6905400\n2013-08-30,14.780000,14.820000,14.680000,14.750000,13.963984,9453000\n2013-09-03,14.790000,14.970000,14.670000,14.760000,13.973454,7117000\n2013-09-04,14.760000,14.990000,14.740000,14.900000,14.105989,5552000\n2013-09-05,14.840000,15.000000,14.830000,14.940000,14.143860,4372600\n2013-09-06,14.950000,15.030000,14.770000,14.880000,14.087059,5668900\n2013-09-09,15.000000,15.130000,14.960000,15.130000,14.323735,6160200\n2013-09-10,15.240000,15.460000,15.170000,15.450000,14.626683,7303300\n2013-09-11,15.430000,15.750000,15.320000,15.710000,14.872828,9904100\n2013-09-12,15.630000,15.900000,15.630000,15.700000,14.863362,7595200\n2013-09-13,15.750000,15.870000,15.640000,15.800000,14.958030,3992400\n2013-09-16,15.930000,16.040001,15.750000,15.810000,14.967499,5785300\n2013-09-17,15.870000,15.990000,15.800000,15.860000,15.014835,4215200\n2013-09-18,15.870000,16.040001,15.790000,16.000000,15.147372,6704200\n2013-09-19,16.070000,16.100000,15.860000,15.930000,15.081105,5689300\n2013-09-20,15.970000,16.070000,15.760000,15.790000,14.948565,8900900\n2013-09-23,15.780000,15.910000,15.550000,15.640000,14.806558,6781100\n2013-09-24,15.650000,15.760000,15.560000,15.700000,14.863362,5743300\n2013-09-25,15.670000,15.840000,15.600000,15.720000,14.882296,5828900\n2013-09-26,15.760000,15.790000,15.580000,15.670000,14.834960,3720400\n2013-09-27,15.550000,15.680000,15.490000,15.580000,14.749754,3798000\n2013-09-30,15.420000,15.670000,15.330000,15.560000,14.730823,5666000\n2013-10-01,15.580000,15.650000,15.460000,15.550000,14.721354,5674400\n2013-10-02,15.390000,15.600000,15.390000,15.540000,14.711887,4050900\n2013-10-03,15.550000,15.690000,15.310000,15.380000,14.560412,10919200\n2013-10-04,15.360000,15.720000,15.320000,15.590000,14.759222,6155700\n2013-10-07,15.530000,15.700000,15.450000,15.590000,14.759222,4248800\n2013-10-08,15.550000,15.770000,15.340000,15.460000,14.636149,7267800\n2013-10-09,15.560000,15.570000,15.140000,15.220000,14.408940,6896500\n2013-10-10,15.330000,15.430000,15.220000,15.390000,14.569881,5587100\n2013-10-11,15.150000,15.340000,15.100000,15.260000,14.446809,5342600\n2013-10-14,15.220000,15.490000,15.220000,15.490000,14.664552,4165700\n2013-10-15,15.490000,15.580000,15.400000,15.410000,14.588814,5220500\n2013-10-16,15.500000,15.660000,15.480000,15.600000,14.768688,5251800\n2013-10-17,15.480000,15.670000,15.480000,15.630000,14.797091,5333100\n2013-10-18,15.600000,15.860000,15.540000,15.810000,14.967499,6376700\n2013-10-21,16.000000,16.010000,15.800000,15.850000,15.005366,4875200\n2013-10-22,15.850000,15.860000,15.630000,15.770000,14.929631,4486300\n2013-10-23,15.740000,15.740000,15.450000,15.500000,14.674018,6305400\n2013-10-24,15.540000,15.640000,15.360000,15.390000,14.569881,5910900\n2013-10-25,15.470000,15.480000,15.190000,15.240000,14.427872,8262300\n2013-10-28,15.220000,15.290000,15.000000,15.210000,14.399472,9850600\n2013-10-29,15.190000,15.260000,15.050000,15.230000,14.418406,9698800\n2013-10-30,15.280000,15.350000,15.090000,15.220000,14.408940,5100800\n2013-10-31,15.240000,15.350000,15.160000,15.190000,14.380537,7334200\n2013-11-01,15.270000,15.330000,15.150000,15.260000,14.446809,5153400\n2013-11-04,15.310000,15.310000,14.790000,14.820000,14.030255,10256600\n2013-11-05,14.730000,14.870000,14.570000,14.800000,14.011321,10559200\n2013-11-06,14.800000,14.910000,14.650000,14.900000,14.105989,4951100\n2013-11-07,14.850000,14.890000,14.520000,14.550000,13.774642,13826900\n2013-11-08,15.000000,15.610000,14.940000,15.560000,14.730823,18363300\n2013-11-11,15.500000,15.730000,15.470000,15.690000,14.853892,7440600\n2013-11-12,15.760000,15.850000,15.540000,15.720000,14.882296,7900800\n2013-11-13,15.680000,16.150000,15.650000,16.150000,15.289380,8319800\n2013-11-14,16.100000,16.320000,16.090000,16.219999,15.355650,7699500\n2013-11-15,16.280001,16.299999,16.010000,16.170000,15.308316,11258300\n2013-11-18,15.820000,15.960000,15.740000,15.780000,14.939096,7923700\n2013-11-19,15.620000,15.760000,15.420000,15.440000,14.696378,5167900\n2013-11-20,15.450000,15.490000,15.180000,15.210000,14.477456,5119400\n2013-11-21,15.230000,15.360000,15.160000,15.330000,14.591679,5339200\n2013-11-22,15.350000,15.350000,15.150000,15.180000,14.448900,3966700\n2013-11-25,15.180000,15.530000,15.180000,15.510000,14.763006,6205200\n2013-11-26,15.680000,15.810000,15.580000,15.640000,14.886745,18829400\n2013-11-27,15.630000,15.750000,15.530000,15.700000,14.943857,4531800\n2013-11-29,15.700000,15.740000,15.500000,15.600000,14.848674,2924100\n2013-12-02,15.540000,15.860000,15.510000,15.750000,14.991447,9346800\n2013-12-03,15.750000,15.960000,15.640000,15.740000,14.981932,7264000\n2013-12-04,15.700000,15.990000,15.660000,15.960000,15.191336,12329400\n2013-12-05,15.990000,15.990000,15.680000,15.700000,14.943857,6795300\n2013-12-06,15.890000,15.890000,15.430000,15.470000,14.724933,7025000\n2013-12-09,15.470000,15.520000,15.180000,15.210000,14.477456,9630500\n2013-12-10,15.210000,15.630000,15.190000,15.560000,14.810599,13106700\n2013-12-11,15.590000,15.610000,15.380000,15.410000,14.667824,10353900\n2013-12-12,15.360000,15.440000,15.080000,15.110000,14.382273,6468100\n2013-12-13,15.140000,15.250000,15.000000,15.020000,14.296606,4614700\n2013-12-16,15.030000,15.170000,15.020000,15.040000,14.315645,5940500\n2013-12-17,15.030000,15.150000,14.900000,15.110000,14.382273,6852600\n2013-12-18,15.140000,15.350000,14.950000,15.320000,14.582159,10655800\n2013-12-19,15.300000,15.400000,15.200000,15.380000,14.639268,6463600\n2013-12-20,15.410000,15.700000,15.370000,15.690000,14.934338,9552000\n2013-12-23,15.780000,15.910000,15.650000,15.780000,15.020003,4214200\n2013-12-24,15.870000,15.870000,15.660000,15.820000,15.058077,1990000\n2013-12-26,15.880000,15.930000,15.630000,15.670000,14.915301,4223000\n2013-12-27,15.750000,15.790000,15.660000,15.760000,15.000966,5274400\n2013-12-30,15.770000,15.980000,15.750000,15.970000,15.200851,6204500\n2013-12-31,16.000000,16.100000,15.900000,16.020000,15.248446,5894400\n2014-01-02,15.920000,15.980000,15.720000,15.860000,15.096152,6502300\n2014-01-03,15.890000,15.920000,15.620000,15.670000,14.915301,6483300\n2014-01-06,15.830000,16.000000,15.680000,15.880000,15.115188,10237300\n2014-01-07,16.040001,16.200001,15.930000,16.139999,15.362666,8332200\n2014-01-08,16.200001,16.440001,16.139999,16.360001,15.572070,7704800\n2014-01-09,16.110001,16.139999,15.700000,15.750000,14.991447,7304300\n2014-01-10,15.800000,15.910000,15.590000,15.730000,14.972411,5462300\n2014-01-13,15.730000,15.830000,15.330000,15.360000,14.620232,6083300\n2014-01-14,15.440000,15.870000,15.370000,15.840000,15.077115,6045700\n2014-01-15,15.910000,16.070000,15.840000,16.010000,15.238929,4376100\n2014-01-16,16.010000,16.090000,15.940000,16.059999,15.286519,5516300\n2014-01-17,16.059999,16.250000,15.890000,15.990000,15.219892,8510000\n2014-01-21,16.010000,16.150000,15.880000,16.049999,15.276999,6151900\n2014-01-22,16.080000,16.100000,15.840000,16.030001,15.257964,8448500\n2014-01-23,15.980000,16.150000,15.850000,15.970000,15.200851,4625700\n2014-01-24,15.840000,15.900000,15.560000,15.560000,14.810599,6167400\n2014-01-27,15.560000,15.780000,15.370000,15.460000,14.715416,5845300\n2014-01-28,15.430000,15.620000,15.370000,15.610000,14.858193,4199900\n2014-01-29,15.550000,15.640000,15.450000,15.460000,14.715416,4073600\n2014-01-30,15.550000,15.750000,15.500000,15.720000,14.962893,5072400\n2014-01-31,15.500000,15.790000,15.490000,15.700000,14.943857,8383700\n2014-02-03,15.810000,15.830000,15.430000,15.490000,14.743970,10793200\n2014-02-04,15.480000,15.610000,15.400000,15.580000,14.829636,7017300\n2014-02-05,15.470000,15.520000,15.320000,15.440000,14.696378,5366900\n2014-02-06,15.460000,15.680000,15.440000,15.640000,14.886745,4209500\n2014-02-07,15.680000,15.890000,15.540000,15.870000,15.105667,3931200\n2014-02-10,15.850000,16.129999,15.840000,15.920000,15.153262,8109300\n2014-02-11,16.010000,16.290001,15.930000,16.250000,15.467368,5884600\n2014-02-12,16.299999,16.950001,16.299999,16.830000,16.019436,18613200\n2014-02-13,17.250000,17.459999,16.950001,17.360001,16.523907,22570900\n2014-02-14,17.200001,17.950001,17.190001,17.910000,17.047417,20438400\n2014-02-18,17.920000,17.980000,17.750000,17.900000,17.037903,10724700\n2014-02-19,17.900000,18.299999,17.820000,18.139999,17.266336,11258500\n2014-02-20,18.180000,18.820000,18.150000,18.780001,17.875525,9952200\n2014-02-21,18.750000,18.990000,18.520000,18.639999,17.742262,11276300\n2014-02-24,18.600000,19.049999,18.430000,18.910000,17.999254,10077800\n2014-02-25,18.799999,18.879999,18.540001,18.740000,17.917986,6054600\n2014-02-26,18.700001,18.980000,18.650000,18.709999,17.889301,9022100\n2014-02-27,18.709999,18.900000,18.450001,18.500000,17.688515,9721200\n2014-02-28,18.400000,18.580000,18.110001,18.379999,17.573780,8042300\n2014-03-03,17.969999,18.290001,17.809999,18.290001,17.487722,9398700\n2014-03-04,18.379999,18.600000,18.350000,18.480000,17.669390,6508600\n2014-03-05,18.459999,18.650000,18.379999,18.639999,17.822372,6036800\n2014-03-06,18.670000,18.770000,18.350000,18.379999,17.573780,7253600\n2014-03-07,18.459999,18.490000,18.219999,18.360001,17.554655,6711300\n2014-03-10,18.299999,18.379999,18.010000,18.090000,17.296495,7522200\n2014-03-11,18.180000,18.430000,18.120001,18.270000,17.468601,7430500\n2014-03-12,18.180000,18.430000,18.110001,18.320000,17.516407,5985700\n2014-03-13,18.360001,18.430000,17.650000,17.740000,16.961849,9629300\n2014-03-14,17.559999,17.980000,17.559999,17.820000,17.038338,11501200\n2014-03-17,17.870001,18.000000,17.799999,17.820000,17.038338,7491400\n2014-03-18,17.889999,18.360001,17.809999,18.240000,17.439919,7347600\n2014-03-19,18.379999,18.910000,18.330000,18.559999,17.745882,9154200\n2014-03-20,18.459999,18.730000,18.379999,18.570000,17.755442,4795000\n2014-03-21,18.730000,18.879999,18.440001,18.540001,17.726755,14152900\n2014-03-24,18.549999,18.700001,18.180000,18.450001,17.640705,7652400\n2014-03-25,18.650000,18.670000,18.309999,18.450001,17.640705,7610600\n2014-03-26,18.620001,18.969999,17.870001,18.030001,17.239130,13943900\n2014-03-27,17.990000,18.139999,17.590000,17.790001,17.009659,13518200\n2014-03-28,17.760000,18.010000,17.709999,17.900000,17.114834,9970500\n2014-03-31,17.930000,18.090000,17.809999,17.910000,17.124388,6835100\n2014-04-01,18.480000,18.870001,18.260000,18.650000,17.831930,16406800\n2014-04-02,18.650000,18.690001,18.450001,18.530001,17.717197,5998700\n2014-04-03,18.570000,19.180000,18.559999,18.730000,17.908424,14988700\n2014-04-04,18.830000,18.940001,18.070000,18.150000,17.353865,9200800\n2014-04-07,18.160000,18.559999,18.059999,18.209999,17.411230,10714400\n2014-04-08,18.209999,18.910000,18.180000,18.860001,18.032722,11767300\n2014-04-09,18.950001,19.110001,18.690001,18.840000,18.013599,10549200\n2014-04-10,18.760000,19.020000,18.320000,18.379999,17.573780,9318700\n2014-04-11,18.240000,18.520000,17.879999,18.120001,17.325182,8827800\n2014-04-14,18.240000,18.389999,18.120001,18.320000,17.516407,7254600\n2014-04-15,18.340000,18.549999,18.160000,18.450001,17.640705,7615900\n2014-04-16,18.540001,18.559999,18.260000,18.490000,17.678951,5878400\n2014-04-17,18.420000,18.730000,18.379999,18.559999,17.745882,3838300\n2014-04-21,18.570000,18.760000,18.450001,18.709999,17.889301,2925100\n2014-04-22,18.740000,18.990000,18.639999,18.870001,18.042284,6378000\n2014-04-23,18.900000,19.139999,18.870001,19.090000,18.252630,6539500\n2014-04-24,19.219999,19.459999,19.219999,19.260000,18.415174,9787300\n2014-04-25,19.219999,19.400000,18.690001,18.730000,17.908424,7840000\n2014-04-28,18.879999,18.980000,18.420000,18.650000,17.831930,5669700\n2014-04-29,18.719999,18.760000,18.480000,18.690001,17.870176,4282500\n2014-04-30,18.660000,18.680000,18.430000,18.469999,17.659830,7643500\n2014-05-01,18.750000,18.790001,18.420000,18.570000,17.755442,4952600\n2014-05-02,18.660000,18.660000,18.320000,18.430000,17.621580,3909400\n2014-05-05,18.410000,18.770000,18.389999,18.629999,17.812811,5981500\n2014-05-06,18.809999,18.969999,18.200001,18.250000,17.449478,10404700\n2014-05-07,18.250000,18.420000,18.070000,18.270000,17.468601,7347500\n2014-05-08,18.200001,18.790001,18.110001,18.500000,17.688515,10818200\n2014-05-09,17.940001,18.110001,17.709999,18.049999,17.258253,13488300\n2014-05-12,18.090000,18.620001,18.080000,18.580000,17.765001,7496400\n2014-05-13,18.330000,18.629999,18.219999,18.280001,17.478165,5527600\n2014-05-14,18.290001,18.360001,18.090000,18.100000,17.306061,5358000\n2014-05-15,18.059999,18.160000,17.820000,18.000000,17.210443,8147400\n2014-05-16,17.860001,18.090000,17.860001,17.959999,17.172197,7099000\n2014-05-19,18.150000,18.639999,18.070000,18.540001,17.726755,9001900\n2014-05-20,18.459999,18.510000,18.150000,18.240000,17.520245,6405000\n2014-05-21,18.309999,18.469999,18.129999,18.240000,17.520245,5417800\n2014-05-22,18.200001,18.420000,18.200001,18.320000,17.597084,3259100\n2014-05-23,18.420000,18.580000,18.309999,18.490000,17.760378,4566400\n2014-05-27,18.600000,18.820000,18.540001,18.820000,18.077356,5242000\n2014-05-28,18.889999,19.100000,18.709999,18.980000,18.231039,5616900\n2014-05-29,18.969999,19.129999,18.910000,18.950001,18.202223,4297100\n2014-05-30,18.950001,19.049999,18.850000,19.000000,18.250257,5978200\n2014-06-02,19.059999,19.180000,18.780001,18.940001,18.192621,4537500\n2014-06-03,18.980000,19.000000,18.610001,18.860001,18.115776,6080300\n2014-06-04,18.809999,19.020000,18.799999,18.879999,18.134987,4030900\n2014-06-05,18.910000,19.020000,18.799999,18.959999,18.211832,4717400\n2014-06-06,19.049999,19.200001,18.980000,19.030001,18.279070,4026300\n2014-06-09,19.010000,19.230000,18.879999,19.049999,18.298279,6186400\n2014-06-10,18.980000,19.240000,18.900000,19.150000,18.394333,5440200\n2014-06-11,19.080000,19.450001,19.080000,19.400000,18.634468,6655700\n2014-06-12,19.400000,19.610001,19.230000,19.520000,18.749731,8428700\n2014-06-13,19.719999,19.730000,19.350000,19.540001,18.768940,5696300\n2014-06-16,19.450001,19.610001,19.309999,19.480000,18.711311,4965500\n2014-06-17,19.500000,19.690001,19.400000,19.610001,18.836180,3940200\n2014-06-18,19.559999,19.680000,19.379999,19.590000,18.816978,5388400\n2014-06-19,19.230000,19.330000,19.000000,19.139999,18.384727,11864800\n2014-06-20,19.190001,19.260000,18.780001,18.930000,18.183014,8828700\n2014-06-23,18.680000,18.719999,18.459999,18.709999,17.971695,10355000\n2014-06-24,18.680000,18.830000,18.340000,18.420000,17.693142,6894500\n2014-06-25,18.469999,18.620001,18.299999,18.610001,17.875643,5385500\n2014-06-26,18.610001,18.620001,18.299999,18.360001,17.635508,6422700\n2014-06-27,18.340000,18.490000,18.230000,18.379999,17.654716,7570500\n2014-06-30,18.309999,18.590000,18.309999,18.540001,17.808403,4512800\n2014-07-01,18.520000,18.860001,18.459999,18.750000,18.010117,8029500\n2014-07-02,18.680000,18.760000,18.570000,18.680000,17.942877,4482100\n2014-07-03,18.510000,18.900000,18.510000,18.850000,18.106169,3422300\n2014-07-07,18.879999,18.889999,18.670000,18.700001,17.962095,3187400\n2014-07-08,18.650000,18.730000,18.370001,18.549999,17.818007,5548500\n2014-07-09,18.709999,19.190001,18.570000,19.110001,18.355913,9691700\n2014-07-10,18.750000,19.090000,18.600000,19.010000,18.259857,6657700\n2014-07-11,19.030001,19.110001,18.959999,19.049999,18.298279,4779700\n2014-07-14,19.129999,19.340000,19.059999,19.290001,18.528809,6815900\n2014-07-15,19.320000,19.420000,19.190001,19.370001,18.605650,9886000\n2014-07-16,19.450001,19.600000,19.240000,19.350000,18.586443,7993200\n2014-07-17,19.129999,19.500000,19.129999,19.299999,18.538412,8120800\n2014-07-18,18.900000,19.049999,18.410000,18.440001,17.712351,14195400\n2014-07-21,18.370001,18.680000,18.370001,18.549999,17.818007,6084100\n2014-07-22,18.690001,18.790001,18.430000,18.469999,17.741167,7470400\n2014-07-23,18.480000,18.490000,18.059999,18.080000,17.366556,7433800\n2014-07-24,18.180000,18.230000,17.980000,18.110001,17.395372,6364400\n2014-07-25,18.049999,18.090000,17.760000,17.790001,17.088001,6653300\n2014-07-28,17.870001,17.870001,17.420000,17.719999,17.020761,8258800\n2014-07-29,17.730000,18.020000,17.719999,17.780001,17.078396,5449300\n2014-07-30,17.889999,18.129999,17.840000,18.080000,17.366556,6154600\n2014-07-31,17.860001,18.000000,17.469999,17.500000,16.809444,10047000\n2014-08-01,17.500000,17.790001,17.440001,17.690001,16.991943,5497100\n2014-08-04,17.670000,17.820000,17.559999,17.650000,16.953524,6043100\n2014-08-05,17.600000,17.920000,17.450001,17.660000,16.963131,7453400\n2014-08-06,17.540001,17.860001,17.410000,17.639999,16.943914,5586400\n2014-08-07,17.790001,17.950001,17.340000,17.459999,16.771021,10192400\n2014-08-08,18.219999,19.100000,18.219999,19.000000,18.250257,22358700\n2014-08-11,19.020000,19.100000,18.850000,18.900000,18.154200,8615600\n2014-08-12,18.889999,19.000000,18.690001,18.900000,18.154200,7403800\n2014-08-13,18.930000,19.170000,18.809999,19.010000,18.259857,6414900\n2014-08-14,19.080000,19.080000,18.719999,18.799999,18.058144,6399800\n2014-08-15,18.860001,19.150000,18.680000,19.040001,18.288673,9244900\n2014-08-18,19.120001,19.320000,18.930000,19.299999,18.538412,7101900\n2014-08-19,19.219999,19.469999,19.150000,19.370001,18.687956,6206500\n2014-08-20,19.299999,19.389999,19.200001,19.250000,18.572180,5536700\n2014-08-21,19.200001,19.299999,19.040001,19.070000,18.398521,6819900\n2014-08-22,19.049999,19.240000,18.930000,19.080000,18.408167,6280600\n2014-08-25,19.160000,19.290001,19.070000,19.110001,18.437113,3834500\n2014-08-26,19.160000,19.490000,19.090000,19.450001,18.765139,6740900\n2014-08-27,19.330000,19.480000,19.200001,19.230000,18.552885,4574300\n2014-08-28,19.190001,19.430000,19.129999,19.389999,18.707249,4492600\n2014-08-29,19.459999,19.490000,19.250000,19.450001,18.765139,5198300\n2014-09-02,19.500000,19.500000,19.320000,19.500000,18.813377,4815900\n2014-09-03,19.600000,19.750000,19.469999,19.680000,18.987040,6486400\n2014-09-04,19.650000,20.150000,19.639999,20.030001,19.324717,12295800\n2014-09-05,20.010000,20.100000,19.840000,19.969999,19.266825,6344800\n2014-09-08,19.950001,19.990000,19.709999,19.790001,19.093166,7982200\n2014-09-09,19.700001,19.830000,19.520000,19.540001,18.851969,4964700\n2014-09-10,19.650000,19.680000,19.430000,19.610001,18.919504,4309400\n2014-09-11,19.469999,19.540001,19.200001,19.410000,18.726542,6268000\n2014-09-12,19.530001,19.530001,19.100000,19.120001,18.446758,6563400\n2014-09-15,19.180000,19.209999,18.780001,18.860001,18.195913,7353800\n2014-09-16,18.809999,19.240000,18.750000,19.139999,18.466053,5498400\n2014-09-17,19.090000,19.330000,19.000000,19.150000,18.475702,4339600\n2014-09-18,19.270000,19.459999,19.209999,19.440001,18.755489,5490100\n2014-09-19,19.500000,19.520000,19.049999,19.080000,18.408167,15032900\n2014-09-22,19.469999,19.469999,18.870001,18.889999,18.224855,5536600\n2014-09-23,18.790001,19.020000,18.719999,18.809999,18.147671,4903600\n2014-09-24,18.799999,18.980000,18.780001,18.920000,18.253801,3989800\n2014-09-25,18.900000,18.950001,18.469999,18.510000,17.858242,7461000\n2014-09-26,18.570000,18.690001,18.490000,18.549999,17.896828,6029700\n2014-09-29,18.400000,18.650000,18.219999,18.520000,17.867882,5213500\n2014-09-30,18.440001,18.580000,18.230000,18.450001,17.800352,6930100\n2014-10-01,18.480000,18.610001,18.219999,18.270000,17.626688,8774400\n2014-10-02,18.240000,18.330000,17.770000,18.190001,17.549507,7224900\n2014-10-03,18.299999,18.549999,18.230000,18.230000,17.588097,5978500\n2014-10-06,18.299999,18.450001,18.000000,18.120001,17.481970,4975800\n2014-10-07,18.040001,18.219999,17.910000,17.930000,17.298664,7547400\n2014-10-08,17.910000,18.350000,17.770000,18.260000,17.617041,6504300\n2014-10-09,18.180000,18.200001,17.760000,17.910000,17.279362,7673900\n2014-10-10,17.770000,17.830000,16.840000,16.850000,16.256691,17284400\n2014-10-13,16.959999,17.299999,16.770000,16.790001,16.198801,9940700\n2014-10-14,17.020000,17.650000,16.920000,17.180000,16.575071,9415500\n2014-10-15,16.930000,17.530001,16.820000,17.440001,16.825918,10110700\n2014-10-16,17.129999,17.650000,17.090000,17.450001,16.835562,8777900\n2014-10-17,17.660000,17.860001,17.350000,17.420000,16.806616,7267900\n2014-10-20,17.420000,17.730000,17.299999,17.570000,16.951340,5008400\n2014-10-21,17.700001,18.340000,17.650000,18.320000,17.674927,8777300\n2014-10-22,18.290001,18.350000,17.889999,17.889999,17.260071,5987800\n2014-10-23,18.200001,18.420000,18.070000,18.290001,17.645983,5361900\n2014-10-24,18.400000,18.590000,18.290001,18.480000,17.829294,5253900\n2014-10-27,18.469999,18.559999,18.270000,18.490000,17.838942,3627300\n2014-10-28,18.440001,18.950001,18.420000,18.930000,18.263449,4814500\n2014-10-29,18.850000,18.959999,18.639999,18.809999,18.147671,4208500\n2014-10-30,18.760000,18.840000,18.450001,18.690001,18.031898,4256500\n2014-10-31,19.120001,19.549999,19.020000,19.540001,18.851969,6407900\n2014-11-03,19.990000,20.059999,19.770000,19.870001,19.170351,7718300\n2014-11-04,20.000000,20.200001,19.670000,20.129999,19.421200,9004900\n2014-11-05,20.250000,20.260000,19.980000,20.129999,19.421200,8391300\n2014-11-06,20.170000,20.250000,19.860001,20.219999,19.508024,9852200\n2014-11-07,20.450001,20.690001,19.590000,19.790001,19.093166,11270000\n2014-11-10,19.770000,20.150000,19.719999,20.020000,19.315071,7334700\n2014-11-11,19.900000,20.010000,19.610001,19.780001,19.083521,5324800\n2014-11-12,19.709999,19.760000,19.379999,19.650000,18.958096,5114600\n2014-11-13,19.719999,19.750000,19.389999,19.549999,18.861618,5633200\n2014-11-14,19.570000,19.790001,19.379999,19.790001,19.093166,4006200\n2014-11-17,19.700001,19.910000,19.570000,19.700001,19.006338,3968300\n2014-11-18,19.709999,20.219999,19.660000,20.170000,19.459791,5194300\n2014-11-19,20.100000,20.160000,19.799999,20.010000,19.387121,6007500\n2014-11-20,19.870001,20.360001,19.809999,20.340000,19.706846,5524200\n2014-11-21,20.520000,20.549999,20.280001,20.450001,19.813425,4974400\n2014-11-24,20.500000,20.670000,20.420000,20.580000,19.939379,3400100\n2014-11-25,20.540001,20.719999,20.500000,20.570000,19.929693,4756000\n2014-11-26,20.450001,20.940001,20.440001,20.920000,20.268797,5481600\n2014-11-28,20.990000,21.090000,20.799999,20.969999,20.317238,3120800\n2014-12-01,20.879999,21.000000,20.549999,20.580000,19.939379,4751500\n2014-12-02,20.559999,20.700001,20.370001,20.610001,19.968447,6148800\n2014-12-03,20.709999,21.150000,20.650000,21.139999,20.481945,7110600\n2014-12-04,21.110001,21.190001,20.809999,20.950001,20.297861,4633300\n2014-12-05,20.959999,21.180000,20.950001,21.070000,20.414127,4142000\n2014-12-08,21.040001,21.250000,20.629999,20.799999,20.152531,5673600\n2014-12-09,20.670000,20.780001,20.360001,20.730000,20.084709,5986200\n2014-12-10,20.670000,20.750000,20.250000,20.270000,19.639027,5109100\n2014-12-11,20.389999,20.530001,20.219999,20.260000,19.629343,3391300\n2014-12-12,19.990000,20.170000,19.610001,19.629999,19.018950,8099100\n2014-12-15,19.860001,20.219999,19.510000,19.570000,18.960817,6367400\n2014-12-16,19.549999,19.860001,19.340000,19.350000,18.747669,4632700\n2014-12-17,19.740000,20.170000,19.100000,20.139999,19.513073,8639900\n2014-12-18,20.389999,20.629999,20.030001,20.219999,19.590582,5653900\n2014-12-19,20.360001,20.500000,20.170000,20.420000,19.784357,8138200\n2014-12-22,20.400000,20.780001,20.330000,20.780001,20.133152,3724400\n2014-12-23,20.940001,21.040001,20.629999,20.650000,20.007196,2732000\n2014-12-24,20.700001,20.730000,20.549999,20.570000,19.929693,1141100\n2014-12-26,20.570000,20.700001,20.520000,20.590000,19.949068,1315900\n2014-12-29,20.530001,20.700001,20.430000,20.559999,19.920000,2073600\n2014-12-30,20.420000,20.520000,20.340000,20.370001,19.735916,2803000\n2014-12-31,20.400000,20.510000,19.990000,20.049999,19.425875,4157500\n"
  },
  {
    "path": "datas/nvda-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n2014-01-02,15.920000,15.980000,15.720000,15.860000,15.096152,6502300\n2014-01-03,15.890000,15.920000,15.620000,15.670000,14.915301,6483300\n2014-01-06,15.830000,16.000000,15.680000,15.880000,15.115188,10237300\n2014-01-07,16.040001,16.200001,15.930000,16.139999,15.362666,8332200\n2014-01-08,16.200001,16.440001,16.139999,16.360001,15.572070,7704800\n2014-01-09,16.110001,16.139999,15.700000,15.750000,14.991447,7304300\n2014-01-10,15.800000,15.910000,15.590000,15.730000,14.972411,5462300\n2014-01-13,15.730000,15.830000,15.330000,15.360000,14.620232,6083300\n2014-01-14,15.440000,15.870000,15.370000,15.840000,15.077115,6045700\n2014-01-15,15.910000,16.070000,15.840000,16.010000,15.238929,4376100\n2014-01-16,16.010000,16.090000,15.940000,16.059999,15.286519,5516300\n2014-01-17,16.059999,16.250000,15.890000,15.990000,15.219892,8510000\n2014-01-21,16.010000,16.150000,15.880000,16.049999,15.276999,6151900\n2014-01-22,16.080000,16.100000,15.840000,16.030001,15.257964,8448500\n2014-01-23,15.980000,16.150000,15.850000,15.970000,15.200851,4625700\n2014-01-24,15.840000,15.900000,15.560000,15.560000,14.810599,6167400\n2014-01-27,15.560000,15.780000,15.370000,15.460000,14.715416,5845300\n2014-01-28,15.430000,15.620000,15.370000,15.610000,14.858193,4199900\n2014-01-29,15.550000,15.640000,15.450000,15.460000,14.715416,4073600\n2014-01-30,15.550000,15.750000,15.500000,15.720000,14.962893,5072400\n2014-01-31,15.500000,15.790000,15.490000,15.700000,14.943857,8383700\n2014-02-03,15.810000,15.830000,15.430000,15.490000,14.743970,10793200\n2014-02-04,15.480000,15.610000,15.400000,15.580000,14.829636,7017300\n2014-02-05,15.470000,15.520000,15.320000,15.440000,14.696378,5366900\n2014-02-06,15.460000,15.680000,15.440000,15.640000,14.886745,4209500\n2014-02-07,15.680000,15.890000,15.540000,15.870000,15.105667,3931200\n2014-02-10,15.850000,16.129999,15.840000,15.920000,15.153262,8109300\n2014-02-11,16.010000,16.290001,15.930000,16.250000,15.467368,5884600\n2014-02-12,16.299999,16.950001,16.299999,16.830000,16.019436,18613200\n2014-02-13,17.250000,17.459999,16.950001,17.360001,16.523907,22570900\n2014-02-14,17.200001,17.950001,17.190001,17.910000,17.047417,20438400\n2014-02-18,17.920000,17.980000,17.750000,17.900000,17.037903,10724700\n2014-02-19,17.900000,18.299999,17.820000,18.139999,17.266336,11258500\n2014-02-20,18.180000,18.820000,18.150000,18.780001,17.875525,9952200\n2014-02-21,18.750000,18.990000,18.520000,18.639999,17.742262,11276300\n2014-02-24,18.600000,19.049999,18.430000,18.910000,17.999254,10077800\n2014-02-25,18.799999,18.879999,18.540001,18.740000,17.917986,6054600\n2014-02-26,18.700001,18.980000,18.650000,18.709999,17.889301,9022100\n2014-02-27,18.709999,18.900000,18.450001,18.500000,17.688515,9721200\n2014-02-28,18.400000,18.580000,18.110001,18.379999,17.573780,8042300\n2014-03-03,17.969999,18.290001,17.809999,18.290001,17.487722,9398700\n2014-03-04,18.379999,18.600000,18.350000,18.480000,17.669390,6508600\n2014-03-05,18.459999,18.650000,18.379999,18.639999,17.822372,6036800\n2014-03-06,18.670000,18.770000,18.350000,18.379999,17.573780,7253600\n2014-03-07,18.459999,18.490000,18.219999,18.360001,17.554655,6711300\n2014-03-10,18.299999,18.379999,18.010000,18.090000,17.296495,7522200\n2014-03-11,18.180000,18.430000,18.120001,18.270000,17.468601,7430500\n2014-03-12,18.180000,18.430000,18.110001,18.320000,17.516407,5985700\n2014-03-13,18.360001,18.430000,17.650000,17.740000,16.961849,9629300\n2014-03-14,17.559999,17.980000,17.559999,17.820000,17.038338,11501200\n2014-03-17,17.870001,18.000000,17.799999,17.820000,17.038338,7491400\n2014-03-18,17.889999,18.360001,17.809999,18.240000,17.439919,7347600\n2014-03-19,18.379999,18.910000,18.330000,18.559999,17.745882,9154200\n2014-03-20,18.459999,18.730000,18.379999,18.570000,17.755442,4795000\n2014-03-21,18.730000,18.879999,18.440001,18.540001,17.726755,14152900\n2014-03-24,18.549999,18.700001,18.180000,18.450001,17.640705,7652400\n2014-03-25,18.650000,18.670000,18.309999,18.450001,17.640705,7610600\n2014-03-26,18.620001,18.969999,17.870001,18.030001,17.239130,13943900\n2014-03-27,17.990000,18.139999,17.590000,17.790001,17.009659,13518200\n2014-03-28,17.760000,18.010000,17.709999,17.900000,17.114834,9970500\n2014-03-31,17.930000,18.090000,17.809999,17.910000,17.124388,6835100\n2014-04-01,18.480000,18.870001,18.260000,18.650000,17.831930,16406800\n2014-04-02,18.650000,18.690001,18.450001,18.530001,17.717197,5998700\n2014-04-03,18.570000,19.180000,18.559999,18.730000,17.908424,14988700\n2014-04-04,18.830000,18.940001,18.070000,18.150000,17.353865,9200800\n2014-04-07,18.160000,18.559999,18.059999,18.209999,17.411230,10714400\n2014-04-08,18.209999,18.910000,18.180000,18.860001,18.032722,11767300\n2014-04-09,18.950001,19.110001,18.690001,18.840000,18.013599,10549200\n2014-04-10,18.760000,19.020000,18.320000,18.379999,17.573780,9318700\n2014-04-11,18.240000,18.520000,17.879999,18.120001,17.325182,8827800\n2014-04-14,18.240000,18.389999,18.120001,18.320000,17.516407,7254600\n2014-04-15,18.340000,18.549999,18.160000,18.450001,17.640705,7615900\n2014-04-16,18.540001,18.559999,18.260000,18.490000,17.678951,5878400\n2014-04-17,18.420000,18.730000,18.379999,18.559999,17.745882,3838300\n2014-04-21,18.570000,18.760000,18.450001,18.709999,17.889301,2925100\n2014-04-22,18.740000,18.990000,18.639999,18.870001,18.042284,6378000\n2014-04-23,18.900000,19.139999,18.870001,19.090000,18.252630,6539500\n2014-04-24,19.219999,19.459999,19.219999,19.260000,18.415174,9787300\n2014-04-25,19.219999,19.400000,18.690001,18.730000,17.908424,7840000\n2014-04-28,18.879999,18.980000,18.420000,18.650000,17.831930,5669700\n2014-04-29,18.719999,18.760000,18.480000,18.690001,17.870176,4282500\n2014-04-30,18.660000,18.680000,18.430000,18.469999,17.659830,7643500\n2014-05-01,18.750000,18.790001,18.420000,18.570000,17.755442,4952600\n2014-05-02,18.660000,18.660000,18.320000,18.430000,17.621580,3909400\n2014-05-05,18.410000,18.770000,18.389999,18.629999,17.812811,5981500\n2014-05-06,18.809999,18.969999,18.200001,18.250000,17.449478,10404700\n2014-05-07,18.250000,18.420000,18.070000,18.270000,17.468601,7347500\n2014-05-08,18.200001,18.790001,18.110001,18.500000,17.688515,10818200\n2014-05-09,17.940001,18.110001,17.709999,18.049999,17.258253,13488300\n2014-05-12,18.090000,18.620001,18.080000,18.580000,17.765001,7496400\n2014-05-13,18.330000,18.629999,18.219999,18.280001,17.478165,5527600\n2014-05-14,18.290001,18.360001,18.090000,18.100000,17.306061,5358000\n2014-05-15,18.059999,18.160000,17.820000,18.000000,17.210443,8147400\n2014-05-16,17.860001,18.090000,17.860001,17.959999,17.172197,7099000\n2014-05-19,18.150000,18.639999,18.070000,18.540001,17.726755,9001900\n2014-05-20,18.459999,18.510000,18.150000,18.240000,17.520245,6405000\n2014-05-21,18.309999,18.469999,18.129999,18.240000,17.520245,5417800\n2014-05-22,18.200001,18.420000,18.200001,18.320000,17.597084,3259100\n2014-05-23,18.420000,18.580000,18.309999,18.490000,17.760378,4566400\n2014-05-27,18.600000,18.820000,18.540001,18.820000,18.077356,5242000\n2014-05-28,18.889999,19.100000,18.709999,18.980000,18.231039,5616900\n2014-05-29,18.969999,19.129999,18.910000,18.950001,18.202223,4297100\n2014-05-30,18.950001,19.049999,18.850000,19.000000,18.250257,5978200\n2014-06-02,19.059999,19.180000,18.780001,18.940001,18.192621,4537500\n2014-06-03,18.980000,19.000000,18.610001,18.860001,18.115776,6080300\n2014-06-04,18.809999,19.020000,18.799999,18.879999,18.134987,4030900\n2014-06-05,18.910000,19.020000,18.799999,18.959999,18.211832,4717400\n2014-06-06,19.049999,19.200001,18.980000,19.030001,18.279070,4026300\n2014-06-09,19.010000,19.230000,18.879999,19.049999,18.298279,6186400\n2014-06-10,18.980000,19.240000,18.900000,19.150000,18.394333,5440200\n2014-06-11,19.080000,19.450001,19.080000,19.400000,18.634468,6655700\n2014-06-12,19.400000,19.610001,19.230000,19.520000,18.749731,8428700\n2014-06-13,19.719999,19.730000,19.350000,19.540001,18.768940,5696300\n2014-06-16,19.450001,19.610001,19.309999,19.480000,18.711311,4965500\n2014-06-17,19.500000,19.690001,19.400000,19.610001,18.836180,3940200\n2014-06-18,19.559999,19.680000,19.379999,19.590000,18.816978,5388400\n2014-06-19,19.230000,19.330000,19.000000,19.139999,18.384727,11864800\n2014-06-20,19.190001,19.260000,18.780001,18.930000,18.183014,8828700\n2014-06-23,18.680000,18.719999,18.459999,18.709999,17.971695,10355000\n2014-06-24,18.680000,18.830000,18.340000,18.420000,17.693142,6894500\n2014-06-25,18.469999,18.620001,18.299999,18.610001,17.875643,5385500\n2014-06-26,18.610001,18.620001,18.299999,18.360001,17.635508,6422700\n2014-06-27,18.340000,18.490000,18.230000,18.379999,17.654716,7570500\n2014-06-30,18.309999,18.590000,18.309999,18.540001,17.808403,4512800\n2014-07-01,18.520000,18.860001,18.459999,18.750000,18.010117,8029500\n2014-07-02,18.680000,18.760000,18.570000,18.680000,17.942877,4482100\n2014-07-03,18.510000,18.900000,18.510000,18.850000,18.106169,3422300\n2014-07-07,18.879999,18.889999,18.670000,18.700001,17.962095,3187400\n2014-07-08,18.650000,18.730000,18.370001,18.549999,17.818007,5548500\n2014-07-09,18.709999,19.190001,18.570000,19.110001,18.355913,9691700\n2014-07-10,18.750000,19.090000,18.600000,19.010000,18.259857,6657700\n2014-07-11,19.030001,19.110001,18.959999,19.049999,18.298279,4779700\n2014-07-14,19.129999,19.340000,19.059999,19.290001,18.528809,6815900\n2014-07-15,19.320000,19.420000,19.190001,19.370001,18.605650,9886000\n2014-07-16,19.450001,19.600000,19.240000,19.350000,18.586443,7993200\n2014-07-17,19.129999,19.500000,19.129999,19.299999,18.538412,8120800\n2014-07-18,18.900000,19.049999,18.410000,18.440001,17.712351,14195400\n2014-07-21,18.370001,18.680000,18.370001,18.549999,17.818007,6084100\n2014-07-22,18.690001,18.790001,18.430000,18.469999,17.741167,7470400\n2014-07-23,18.480000,18.490000,18.059999,18.080000,17.366556,7433800\n2014-07-24,18.180000,18.230000,17.980000,18.110001,17.395372,6364400\n2014-07-25,18.049999,18.090000,17.760000,17.790001,17.088001,6653300\n2014-07-28,17.870001,17.870001,17.420000,17.719999,17.020761,8258800\n2014-07-29,17.730000,18.020000,17.719999,17.780001,17.078396,5449300\n2014-07-30,17.889999,18.129999,17.840000,18.080000,17.366556,6154600\n2014-07-31,17.860001,18.000000,17.469999,17.500000,16.809444,10047000\n2014-08-01,17.500000,17.790001,17.440001,17.690001,16.991943,5497100\n2014-08-04,17.670000,17.820000,17.559999,17.650000,16.953524,6043100\n2014-08-05,17.600000,17.920000,17.450001,17.660000,16.963131,7453400\n2014-08-06,17.540001,17.860001,17.410000,17.639999,16.943914,5586400\n2014-08-07,17.790001,17.950001,17.340000,17.459999,16.771021,10192400\n2014-08-08,18.219999,19.100000,18.219999,19.000000,18.250257,22358700\n2014-08-11,19.020000,19.100000,18.850000,18.900000,18.154200,8615600\n2014-08-12,18.889999,19.000000,18.690001,18.900000,18.154200,7403800\n2014-08-13,18.930000,19.170000,18.809999,19.010000,18.259857,6414900\n2014-08-14,19.080000,19.080000,18.719999,18.799999,18.058144,6399800\n2014-08-15,18.860001,19.150000,18.680000,19.040001,18.288673,9244900\n2014-08-18,19.120001,19.320000,18.930000,19.299999,18.538412,7101900\n2014-08-19,19.219999,19.469999,19.150000,19.370001,18.687956,6206500\n2014-08-20,19.299999,19.389999,19.200001,19.250000,18.572180,5536700\n2014-08-21,19.200001,19.299999,19.040001,19.070000,18.398521,6819900\n2014-08-22,19.049999,19.240000,18.930000,19.080000,18.408167,6280600\n2014-08-25,19.160000,19.290001,19.070000,19.110001,18.437113,3834500\n2014-08-26,19.160000,19.490000,19.090000,19.450001,18.765139,6740900\n2014-08-27,19.330000,19.480000,19.200001,19.230000,18.552885,4574300\n2014-08-28,19.190001,19.430000,19.129999,19.389999,18.707249,4492600\n2014-08-29,19.459999,19.490000,19.250000,19.450001,18.765139,5198300\n2014-09-02,19.500000,19.500000,19.320000,19.500000,18.813377,4815900\n2014-09-03,19.600000,19.750000,19.469999,19.680000,18.987040,6486400\n2014-09-04,19.650000,20.150000,19.639999,20.030001,19.324717,12295800\n2014-09-05,20.010000,20.100000,19.840000,19.969999,19.266825,6344800\n2014-09-08,19.950001,19.990000,19.709999,19.790001,19.093166,7982200\n2014-09-09,19.700001,19.830000,19.520000,19.540001,18.851969,4964700\n2014-09-10,19.650000,19.680000,19.430000,19.610001,18.919504,4309400\n2014-09-11,19.469999,19.540001,19.200001,19.410000,18.726542,6268000\n2014-09-12,19.530001,19.530001,19.100000,19.120001,18.446758,6563400\n2014-09-15,19.180000,19.209999,18.780001,18.860001,18.195913,7353800\n2014-09-16,18.809999,19.240000,18.750000,19.139999,18.466053,5498400\n2014-09-17,19.090000,19.330000,19.000000,19.150000,18.475702,4339600\n2014-09-18,19.270000,19.459999,19.209999,19.440001,18.755489,5490100\n2014-09-19,19.500000,19.520000,19.049999,19.080000,18.408167,15032900\n2014-09-22,19.469999,19.469999,18.870001,18.889999,18.224855,5536600\n2014-09-23,18.790001,19.020000,18.719999,18.809999,18.147671,4903600\n2014-09-24,18.799999,18.980000,18.780001,18.920000,18.253801,3989800\n2014-09-25,18.900000,18.950001,18.469999,18.510000,17.858242,7461000\n2014-09-26,18.570000,18.690001,18.490000,18.549999,17.896828,6029700\n2014-09-29,18.400000,18.650000,18.219999,18.520000,17.867882,5213500\n2014-09-30,18.440001,18.580000,18.230000,18.450001,17.800352,6930100\n2014-10-01,18.480000,18.610001,18.219999,18.270000,17.626688,8774400\n2014-10-02,18.240000,18.330000,17.770000,18.190001,17.549507,7224900\n2014-10-03,18.299999,18.549999,18.230000,18.230000,17.588097,5978500\n2014-10-06,18.299999,18.450001,18.000000,18.120001,17.481970,4975800\n2014-10-07,18.040001,18.219999,17.910000,17.930000,17.298664,7547400\n2014-10-08,17.910000,18.350000,17.770000,18.260000,17.617041,6504300\n2014-10-09,18.180000,18.200001,17.760000,17.910000,17.279362,7673900\n2014-10-10,17.770000,17.830000,16.840000,16.850000,16.256691,17284400\n2014-10-13,16.959999,17.299999,16.770000,16.790001,16.198801,9940700\n2014-10-14,17.020000,17.650000,16.920000,17.180000,16.575071,9415500\n2014-10-15,16.930000,17.530001,16.820000,17.440001,16.825918,10110700\n2014-10-16,17.129999,17.650000,17.090000,17.450001,16.835562,8777900\n2014-10-17,17.660000,17.860001,17.350000,17.420000,16.806616,7267900\n2014-10-20,17.420000,17.730000,17.299999,17.570000,16.951340,5008400\n2014-10-21,17.700001,18.340000,17.650000,18.320000,17.674927,8777300\n2014-10-22,18.290001,18.350000,17.889999,17.889999,17.260071,5987800\n2014-10-23,18.200001,18.420000,18.070000,18.290001,17.645983,5361900\n2014-10-24,18.400000,18.590000,18.290001,18.480000,17.829294,5253900\n2014-10-27,18.469999,18.559999,18.270000,18.490000,17.838942,3627300\n2014-10-28,18.440001,18.950001,18.420000,18.930000,18.263449,4814500\n2014-10-29,18.850000,18.959999,18.639999,18.809999,18.147671,4208500\n2014-10-30,18.760000,18.840000,18.450001,18.690001,18.031898,4256500\n2014-10-31,19.120001,19.549999,19.020000,19.540001,18.851969,6407900\n2014-11-03,19.990000,20.059999,19.770000,19.870001,19.170351,7718300\n2014-11-04,20.000000,20.200001,19.670000,20.129999,19.421200,9004900\n2014-11-05,20.250000,20.260000,19.980000,20.129999,19.421200,8391300\n2014-11-06,20.170000,20.250000,19.860001,20.219999,19.508024,9852200\n2014-11-07,20.450001,20.690001,19.590000,19.790001,19.093166,11270000\n2014-11-10,19.770000,20.150000,19.719999,20.020000,19.315071,7334700\n2014-11-11,19.900000,20.010000,19.610001,19.780001,19.083521,5324800\n2014-11-12,19.709999,19.760000,19.379999,19.650000,18.958096,5114600\n2014-11-13,19.719999,19.750000,19.389999,19.549999,18.861618,5633200\n2014-11-14,19.570000,19.790001,19.379999,19.790001,19.093166,4006200\n2014-11-17,19.700001,19.910000,19.570000,19.700001,19.006338,3968300\n2014-11-18,19.709999,20.219999,19.660000,20.170000,19.459791,5194300\n2014-11-19,20.100000,20.160000,19.799999,20.010000,19.387121,6007500\n2014-11-20,19.870001,20.360001,19.809999,20.340000,19.706846,5524200\n2014-11-21,20.520000,20.549999,20.280001,20.450001,19.813425,4974400\n2014-11-24,20.500000,20.670000,20.420000,20.580000,19.939379,3400100\n2014-11-25,20.540001,20.719999,20.500000,20.570000,19.929693,4756000\n2014-11-26,20.450001,20.940001,20.440001,20.920000,20.268797,5481600\n2014-11-28,20.990000,21.090000,20.799999,20.969999,20.317238,3120800\n2014-12-01,20.879999,21.000000,20.549999,20.580000,19.939379,4751500\n2014-12-02,20.559999,20.700001,20.370001,20.610001,19.968447,6148800\n2014-12-03,20.709999,21.150000,20.650000,21.139999,20.481945,7110600\n2014-12-04,21.110001,21.190001,20.809999,20.950001,20.297861,4633300\n2014-12-05,20.959999,21.180000,20.950001,21.070000,20.414127,4142000\n2014-12-08,21.040001,21.250000,20.629999,20.799999,20.152531,5673600\n2014-12-09,20.670000,20.780001,20.360001,20.730000,20.084709,5986200\n2014-12-10,20.670000,20.750000,20.250000,20.270000,19.639027,5109100\n2014-12-11,20.389999,20.530001,20.219999,20.260000,19.629343,3391300\n2014-12-12,19.990000,20.170000,19.610001,19.629999,19.018950,8099100\n2014-12-15,19.860001,20.219999,19.510000,19.570000,18.960817,6367400\n2014-12-16,19.549999,19.860001,19.340000,19.350000,18.747669,4632700\n2014-12-17,19.740000,20.170000,19.100000,20.139999,19.513073,8639900\n2014-12-18,20.389999,20.629999,20.030001,20.219999,19.590582,5653900\n2014-12-19,20.360001,20.500000,20.170000,20.420000,19.784357,8138200\n2014-12-22,20.400000,20.780001,20.330000,20.780001,20.133152,3724400\n2014-12-23,20.940001,21.040001,20.629999,20.650000,20.007196,2732000\n2014-12-24,20.700001,20.730000,20.549999,20.570000,19.929693,1141100\n2014-12-26,20.570000,20.700001,20.520000,20.590000,19.949068,1315900\n2014-12-29,20.530001,20.700001,20.430000,20.559999,19.920000,2073600\n2014-12-30,20.420000,20.520000,20.340000,20.370001,19.735916,2803000\n2014-12-31,20.400000,20.510000,19.990000,20.049999,19.425875,4157500\n"
  },
  {
    "path": "datas/orcl-1995-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n1995-01-03,2.179012,2.191358,2.117284,2.117284,1.883304,36301200\n1995-01-04,2.123457,2.148148,2.092592,2.135803,1.899776,46051600\n1995-01-05,2.141975,2.148148,2.086420,2.092592,1.861340,37762800\n1995-01-06,2.092592,2.154321,2.061728,2.117284,1.883304,41864400\n1995-01-09,2.135803,2.179012,2.129630,2.179012,1.938211,34639200\n1995-01-10,2.191358,2.216049,2.185185,2.185185,1.943701,42088000\n1995-01-11,2.203704,2.216049,2.098765,2.120370,1.886049,46762000\n1995-01-12,2.123457,2.129630,2.086420,2.104938,1.872322,41294400\n1995-01-13,2.129630,2.145062,2.074074,2.080247,1.850359,55039200\n1995-01-16,2.024691,2.080247,1.975309,2.067901,1.839378,54574800\n1995-01-17,2.067901,2.141975,2.067901,2.141975,1.905266,39588000\n1995-01-18,2.135803,2.160494,2.129630,2.135803,1.899776,28841200\n1995-01-19,2.129630,2.216049,2.117284,2.209877,1.965664,55818000\n1995-01-20,2.209877,2.216049,2.129630,2.169753,1.929974,48518800\n1995-01-23,2.154321,2.154321,2.098765,2.123457,1.888794,37551600\n1995-01-24,2.123457,2.135803,2.086420,2.117284,1.883304,28960800\n1995-01-25,2.104938,2.197531,2.086420,2.160494,1.921738,67278400\n1995-01-26,2.154321,2.160494,2.117284,2.117284,1.883304,27543600\n1995-01-27,2.123457,2.135803,2.086420,2.111111,1.877813,35708400\n1995-01-30,2.111111,2.117284,2.055556,2.061728,1.833888,44440000\n1995-01-31,2.074074,2.129630,2.061728,2.104938,1.872322,37908400\n1995-02-01,2.129630,2.141975,2.080247,2.092592,1.861340,24384400\n1995-02-02,2.092592,2.123457,2.080247,2.117284,1.883304,24165600\n1995-02-03,2.135803,2.197531,2.123457,2.172839,1.932719,53942800\n1995-02-06,2.172839,2.203704,2.160494,2.194444,1.951937,24818800\n1995-02-07,2.197531,2.203704,2.160494,2.191358,1.949191,18529600\n1995-02-08,2.197531,2.203704,2.154321,2.166667,1.927228,26293200\n1995-02-09,2.185185,2.216049,2.148148,2.148148,1.910756,48528000\n1995-02-10,2.160494,2.203704,2.148148,2.185185,1.943701,36315600\n1995-02-13,2.191358,2.240741,2.172839,2.197531,1.954682,33372400\n1995-02-14,2.216049,2.228395,2.160494,2.179012,1.938211,28029600\n1995-02-15,2.185185,2.259259,2.185185,2.259259,2.009588,44546800\n1995-02-16,2.259259,2.283951,2.234568,2.277778,2.026061,45473200\n1995-02-17,2.271605,2.277778,2.246914,2.253086,2.004097,20790000\n1995-02-21,2.271605,2.296296,2.259259,2.277778,2.026061,27059200\n1995-02-22,2.265432,2.333333,2.253086,2.327161,2.069987,40435200\n1995-02-23,2.351852,2.379630,2.296296,2.324074,2.067241,42390400\n1995-02-24,2.324074,2.324074,2.250000,2.259259,2.009588,34297600\n1995-02-27,2.268518,2.333333,2.250000,2.250000,2.001353,31061200\n1995-02-28,2.277778,2.333333,2.250000,2.324074,2.067241,23047200\n1995-03-01,2.342592,2.351852,2.305556,2.314815,2.059005,24346800\n1995-03-02,2.333333,2.342592,2.277778,2.342592,2.083714,14650000\n1995-03-03,2.342592,2.444444,2.314815,2.435185,2.166073,44342800\n1995-03-06,2.416667,2.425926,2.361111,2.407408,2.141366,27613600\n1995-03-07,2.398148,2.425926,2.370370,2.388889,2.124893,30264000\n1995-03-08,2.388889,2.407408,2.379630,2.407408,2.141366,17985600\n1995-03-09,2.416667,2.444444,2.388889,2.425926,2.157837,45533200\n1995-03-10,2.416667,2.444444,2.407408,2.444444,2.174309,26088000\n1995-03-13,2.453704,2.490741,2.444444,2.453704,2.182545,30138000\n1995-03-14,2.490741,2.509259,2.462963,2.462963,2.190781,24872800\n1995-03-15,2.481482,2.481482,2.416667,2.425926,2.157837,24435600\n1995-03-16,2.425926,2.462963,2.425926,2.462963,2.190781,19735200\n1995-03-17,2.472222,2.500000,2.444444,2.472222,2.199017,29170800\n1995-03-20,2.481482,2.564815,2.453704,2.490741,2.215489,20464000\n1995-03-21,2.527778,2.564815,2.469904,2.537037,2.256670,46642000\n1995-03-22,2.453704,2.472222,2.416667,2.444444,2.174309,87223200\n1995-03-23,2.453704,2.453704,2.333333,2.361111,2.100185,53838000\n1995-03-24,2.361111,2.407408,2.342592,2.379630,2.116657,59328000\n1995-03-27,2.379630,2.407408,2.361111,2.398148,2.133129,55688400\n1995-03-28,2.398148,2.425926,2.379630,2.425926,2.157837,43761600\n1995-03-29,2.425926,2.453704,2.333333,2.370370,2.108421,42786400\n1995-03-30,2.388889,2.398148,2.287037,2.324074,2.067241,42184800\n1995-03-31,2.277778,2.361111,2.268518,2.314815,2.059005,21330400\n1995-04-03,2.305556,2.398148,2.287037,2.379630,2.116657,34187200\n1995-04-04,2.333333,2.462963,2.296296,2.333333,2.075477,62237200\n1995-04-05,2.333333,2.333333,2.277778,2.314815,2.059005,42781200\n1995-04-06,2.296296,2.314815,2.166667,2.175926,1.935465,51303600\n1995-04-07,2.222222,2.305556,2.203704,2.268518,2.017825,74368800\n1995-04-10,2.259259,2.277778,2.231482,2.268518,2.017825,33039600\n1995-04-11,2.296296,2.305556,2.277778,2.305556,2.050768,27496800\n1995-04-12,2.333333,2.379630,2.314815,2.370370,2.108421,20217600\n1995-04-13,2.388889,2.416667,2.314815,2.370370,2.108421,23033200\n1995-04-17,2.379630,2.388889,2.305556,2.310185,2.054886,35958400\n1995-04-18,2.324074,2.342592,2.268518,2.287037,2.034297,38097600\n1995-04-19,2.277778,2.287037,2.194444,2.240741,1.993117,52083600\n1995-04-20,2.259259,2.277778,2.194444,2.212963,1.968409,34000800\n1995-04-21,2.222222,2.231482,2.203704,2.222222,1.976646,62858400\n1995-04-24,2.231482,2.268518,2.203704,2.254630,2.005472,55102000\n1995-04-25,2.259259,2.287037,2.194444,2.203704,1.960173,56012400\n1995-04-26,2.203704,2.222222,2.138889,2.148148,1.910756,53532400\n1995-04-27,2.148148,2.361111,2.074074,2.314815,2.059005,150139600\n1995-04-28,2.324074,2.351852,2.222222,2.259259,2.009588,66034800\n1995-05-01,2.268518,2.277778,2.212963,2.226852,1.980763,49532400\n1995-05-02,2.231482,2.231482,2.203704,2.208333,1.964291,43858800\n1995-05-03,2.222222,2.370370,2.212963,2.333333,2.075477,91555200\n1995-05-04,2.361111,2.416667,2.277778,2.277778,2.026061,68866000\n1995-05-05,2.314815,2.333333,2.259259,2.268518,2.017825,30326800\n1995-05-08,2.287037,2.319444,2.268518,2.287037,2.034297,24262000\n1995-05-09,2.314815,2.333333,2.259259,2.296296,2.042532,35996400\n1995-05-10,2.305556,2.333333,2.268518,2.305556,2.050768,22288000\n1995-05-11,2.296296,2.379630,2.277778,2.379630,2.116657,38153200\n1995-05-12,2.370370,2.462963,2.361111,2.407408,2.141366,72420000\n1995-05-15,2.435185,2.527778,2.407408,2.513889,2.236080,56471200\n1995-05-16,2.518518,2.592592,2.509259,2.541667,2.260788,88011600\n1995-05-17,2.564815,2.601852,2.546296,2.555556,2.273141,48359200\n1995-05-18,2.555556,2.564815,2.472222,2.472222,2.199017,37798000\n1995-05-19,2.453704,2.518518,2.444444,2.518518,2.240197,31640800\n1995-05-22,2.546296,2.546296,2.472222,2.490741,2.215489,35697600\n1995-05-23,2.500000,2.583333,2.486111,2.583333,2.297849,34003600\n1995-05-24,2.712963,2.796296,2.694444,2.787037,2.479042,121257600\n1995-05-25,2.805556,2.851852,2.703704,2.740741,2.437862,56305600\n1995-05-26,2.740741,2.740741,2.648148,2.675926,2.380210,33050400\n1995-05-30,2.685185,2.685185,2.537037,2.537037,2.256670,64638400\n1995-05-31,2.546296,2.583333,2.453704,2.574074,2.289614,49482400\n1995-06-01,2.592592,2.657408,2.592592,2.638889,2.347265,38858800\n1995-06-02,2.629630,2.694444,2.555556,2.666667,2.371974,41282800\n1995-06-05,2.740741,2.740741,2.611111,2.638889,2.347265,43310400\n1995-06-06,2.638889,2.648148,2.518518,2.574074,2.289614,33982800\n1995-06-07,2.592592,2.638889,2.564815,2.611111,2.322557,30613200\n1995-06-08,2.629630,2.657408,2.611111,2.638889,2.347265,19054800\n1995-06-09,2.638889,2.731482,2.601852,2.722222,2.421390,37538800\n1995-06-12,2.759259,2.805556,2.694444,2.759259,2.454334,41046000\n1995-06-13,2.796296,2.805556,2.722222,2.768518,2.462570,43446400\n1995-06-14,2.768518,2.777778,2.731482,2.768518,2.462570,30049200\n1995-06-15,2.768518,2.805556,2.740741,2.768518,2.462570,19678000\n1995-06-16,2.796296,2.805556,2.740741,2.787037,2.479042,26305600\n1995-06-19,2.805556,2.898148,2.796296,2.861111,2.544931,39504400\n1995-06-20,2.879630,2.916667,2.833333,2.888889,2.569638,41228800\n1995-06-21,2.935185,2.944444,2.833333,2.879630,2.561402,47905600\n1995-06-22,2.907408,3.000000,2.888889,2.972222,2.643763,71226400\n1995-06-23,2.962963,2.981482,2.824074,2.907408,2.586111,78650800\n1995-06-26,2.907408,2.925926,2.777778,2.824074,2.511986,40346800\n1995-06-27,2.805556,2.888889,2.777778,2.796296,2.487279,36228400\n1995-06-28,2.787037,2.851852,2.722222,2.791667,2.483160,42115200\n1995-06-29,2.805556,2.888889,2.777778,2.861111,2.544931,42813600\n1995-06-30,2.870370,2.916667,2.833333,2.861111,2.544931,27302400\n1995-07-03,2.870370,2.925926,2.851852,2.898148,2.577875,12094000\n1995-07-05,2.907408,2.944444,2.861111,2.870370,2.553166,38658400\n1995-07-06,2.879630,2.925926,2.833333,2.916667,2.594347,39179200\n1995-07-07,2.907408,3.000000,2.907408,2.990741,2.660235,52280800\n1995-07-10,3.000000,3.074074,2.990741,3.018518,2.684943,36128400\n1995-07-11,3.018518,3.018518,2.888889,2.888889,2.569638,36520000\n1995-07-12,2.925926,3.046296,2.916667,3.027778,2.693178,36703600\n1995-07-13,3.027778,3.120370,2.972222,3.018518,2.684943,32470000\n1995-07-14,2.990741,3.037037,2.944444,3.023148,2.689060,29300800\n1995-07-17,3.046296,3.129630,3.037037,3.129630,2.783775,41150400\n1995-07-18,3.129630,3.129630,2.962963,2.972222,2.643763,53179200\n1995-07-19,2.814815,2.953704,2.703704,2.833333,2.520222,98179600\n1995-07-20,2.833333,2.870370,2.796296,2.842592,2.528458,55798000\n1995-07-21,2.814815,2.898148,2.814815,2.847222,2.532577,31044400\n1995-07-24,2.870370,2.916667,2.842592,2.902778,2.581993,27229200\n1995-07-25,2.944444,3.018518,2.907408,2.981482,2.651999,43365600\n1995-07-26,3.018518,3.129630,3.000000,3.129630,2.783775,49709200\n1995-07-27,3.148148,3.259259,3.138889,3.212963,2.857898,40500400\n1995-07-28,3.203704,3.203704,3.111111,3.120370,2.775539,28096000\n1995-07-31,3.129630,3.129630,3.055556,3.101852,2.759067,17105200\n1995-08-01,3.111111,3.111111,2.953704,3.009259,2.676707,30454000\n1995-08-02,3.046296,3.129630,2.907408,2.935185,2.610818,48919200\n1995-08-03,2.870370,2.935185,2.798607,2.912037,2.590230,71761200\n1995-08-04,2.907408,3.000000,2.888889,2.990741,2.660235,22397200\n1995-08-07,2.990741,3.055556,2.972222,2.986111,2.656117,15670800\n1995-08-08,3.000000,3.009259,2.944444,2.958333,2.631408,12747600\n1995-08-09,3.009259,3.046296,2.981482,3.037037,2.701415,23404000\n1995-08-10,3.037037,3.083333,3.027778,3.055556,2.717887,22918000\n1995-08-11,3.064815,3.074074,2.962963,3.027778,2.693178,18044800\n1995-08-14,3.018518,3.111111,2.990741,3.101852,2.759067,28754800\n1995-08-15,3.111111,3.129630,3.018518,3.083333,2.742595,24782800\n1995-08-16,3.083333,3.166667,3.074074,3.166667,2.816719,31606000\n1995-08-17,3.166667,3.203704,3.148148,3.199074,2.845546,26641600\n1995-08-18,3.231482,3.250000,3.157408,3.203704,2.849662,38806800\n1995-08-21,3.259259,3.287037,3.129630,3.134259,2.787893,31201200\n1995-08-22,3.138889,3.175926,3.064815,3.166667,2.816719,32065600\n1995-08-23,3.166667,3.212963,3.129630,3.175926,2.824955,25450000\n1995-08-24,3.185185,3.185185,3.092592,3.148148,2.800246,35103600\n1995-08-25,3.166667,3.203704,3.148148,3.166667,2.816719,21133600\n1995-08-28,3.166667,3.185185,3.055556,3.069444,2.730241,28777200\n1995-08-29,3.037037,3.046296,2.879630,3.009259,2.676707,68792800\n1995-08-30,3.018518,3.046296,2.907408,2.953704,2.627290,48200800\n1995-08-31,2.962963,3.009259,2.944444,2.972222,2.643763,28209600\n1995-09-01,2.972222,2.972222,2.888889,2.907408,2.586111,41072400\n1995-09-05,2.907408,3.296296,2.907408,3.277778,2.915551,98296800\n1995-09-06,3.129630,3.287037,3.111111,3.222222,2.866134,67087600\n1995-09-07,3.231482,3.296296,3.194444,3.250000,2.890843,32711200\n1995-09-08,3.250000,3.277778,3.194444,3.250000,2.890843,24305200\n1995-09-11,3.240741,3.398148,3.240741,3.351852,2.981440,59000400\n1995-09-12,3.388889,3.407408,3.287037,3.324074,2.956733,28701600\n1995-09-13,3.324074,3.472222,3.314815,3.407408,3.030855,40741200\n1995-09-14,3.435185,3.481482,3.287037,3.324074,2.956733,51487200\n1995-09-15,2.870370,2.925926,2.703704,2.787037,2.479042,384968400\n1995-09-18,2.851852,2.944444,2.814815,2.944444,2.619054,111745600\n1995-09-19,2.953704,3.027778,2.944444,2.972222,2.643763,71098800\n1995-09-20,3.009259,3.046296,2.944444,2.949074,2.623172,56149600\n1995-09-21,2.944444,2.953704,2.851852,2.879630,2.561402,43666800\n1995-09-22,2.861111,2.925926,2.833333,2.916667,2.594347,28744800\n1995-09-25,2.935185,2.944444,2.833333,2.898148,2.577875,29098800\n1995-09-26,2.935185,2.962963,2.842592,2.842592,2.528458,39080400\n1995-09-27,2.814815,2.879630,2.694444,2.861111,2.544931,83973600\n1995-09-28,2.888889,2.916667,2.824074,2.907408,2.586111,49926400\n1995-09-29,2.907408,2.953704,2.824074,2.842592,2.528458,44082400\n1995-10-02,2.861111,2.879630,2.768518,2.789348,2.481098,22100400\n1995-10-03,2.814815,2.879630,2.777778,2.861111,2.544931,52653600\n1995-10-04,2.824074,2.879630,2.777778,2.814815,2.503751,38646000\n1995-10-05,2.814815,2.851852,2.750000,2.851852,2.536695,56722000\n1995-10-06,2.870370,2.907408,2.787037,2.796296,2.487279,49298800\n1995-10-09,2.777778,2.777778,2.629630,2.731482,2.429626,61938000\n1995-10-10,2.685185,2.740741,2.592592,2.740741,2.437862,78254800\n1995-10-11,2.870370,2.907408,2.759259,2.851852,2.536695,68326800\n1995-10-12,2.879630,2.962963,2.870370,2.949074,2.623172,60048400\n1995-10-13,2.972222,3.027778,2.888889,2.925926,2.602582,75654000\n1995-10-16,2.935185,2.981482,2.925926,2.962963,2.635525,37395600\n1995-10-17,2.972222,3.027778,2.888889,3.023148,2.689060,69709200\n1995-10-18,3.064815,3.203704,3.023148,3.185185,2.833191,146953600\n1995-10-19,3.166667,3.287037,3.157408,3.277778,2.915551,75375600\n1995-10-20,3.287037,3.296296,3.129630,3.157408,2.808483,66593200\n1995-10-23,3.120370,3.175926,3.101852,3.166667,2.816719,40321600\n1995-10-24,3.194444,3.240741,3.166667,3.222222,2.866134,45973600\n1995-10-25,3.250000,3.250000,3.157408,3.185185,2.833191,29930400\n1995-10-26,3.166667,3.212963,3.055556,3.138889,2.792011,32054800\n1995-10-27,3.120370,3.222222,3.111111,3.203704,2.849662,32740800\n1995-10-30,3.250000,3.314815,3.222222,3.268518,2.907315,41167600\n1995-10-31,3.314815,3.333333,3.231482,3.231482,2.874371,31107600\n1995-11-01,3.240741,3.314815,3.222222,3.268518,2.907315,37859200\n1995-11-02,3.287037,3.407408,3.277778,3.398148,3.022619,56992000\n1995-11-03,3.407408,3.444444,3.359948,3.425926,3.047327,37718800\n1995-11-06,3.398148,3.518518,3.333333,3.342592,2.973203,39362800\n1995-11-07,3.324074,3.333333,3.194444,3.268518,2.907315,52207200\n1995-11-08,3.296296,3.416667,3.268518,3.314815,2.948496,38385600\n1995-11-09,3.388889,3.490741,3.388889,3.490741,3.104980,56284000\n1995-11-10,3.462963,3.574074,3.425926,3.490741,3.104980,42308800\n1995-11-13,3.481482,3.564815,3.388889,3.407408,3.030855,37776400\n1995-11-14,3.370370,3.500000,3.361111,3.379630,3.006147,43621600\n1995-11-15,3.425926,3.481482,3.370370,3.472222,3.088508,50058400\n1995-11-16,3.462963,3.583333,3.435185,3.518518,3.129688,56000400\n1995-11-17,3.537037,3.611111,3.509259,3.564815,3.170868,50357200\n1995-11-20,3.592592,3.601852,3.370370,3.370370,2.997912,30148800\n1995-11-21,3.370370,3.425926,3.342592,3.398148,3.022619,48174000\n1995-11-22,3.416667,3.416667,3.296296,3.319444,2.952614,34026000\n1995-11-24,3.351852,3.361111,3.268518,3.342592,2.973203,19988800\n1995-11-27,3.398148,3.444444,3.342592,3.365741,2.993793,54459600\n1995-11-28,3.370370,3.490741,3.351852,3.481482,3.096743,49608000\n1995-11-29,3.518518,3.546296,3.435185,3.462963,3.080271,34668000\n1995-11-30,3.462963,3.472222,3.342592,3.361111,2.989676,34887600\n1995-12-01,3.370370,3.388889,3.250000,3.305556,2.940259,45725200\n1995-12-04,3.296296,3.425926,3.212963,3.365741,2.993793,59076400\n1995-12-05,3.342592,3.462963,3.277778,3.333333,2.964967,57186400\n1995-12-06,3.324074,3.342592,3.166667,3.240741,2.882607,50563600\n1995-12-07,3.361111,3.370370,3.203704,3.277778,2.915551,44253600\n1995-12-08,3.351852,3.462963,3.305556,3.453704,3.072035,67216000\n1995-12-11,3.509259,3.527778,3.435185,3.435185,3.055563,44804400\n1995-12-12,3.453704,3.453704,3.287037,3.296296,2.932024,34990000\n1995-12-13,3.287037,3.324074,3.185185,3.203704,2.849662,51724800\n1995-12-14,3.222222,3.268518,2.972222,3.101852,2.759067,109447200\n1995-12-15,3.194444,3.277778,3.175926,3.212963,2.857898,122081200\n1995-12-18,3.212963,3.212963,2.953704,3.055556,2.717887,83241600\n1995-12-19,3.111111,3.314815,3.083333,3.314815,2.948496,80933200\n1995-12-20,3.388889,3.388889,3.175926,3.185185,2.833191,51554400\n1995-12-21,3.203704,3.240741,3.129630,3.166667,2.816719,56762800\n1995-12-22,3.166667,3.314815,3.166667,3.277778,2.915551,41440000\n1995-12-26,3.305556,3.314815,3.259259,3.287037,2.923787,16459200\n1995-12-27,3.296296,3.305556,3.203704,3.222222,2.866134,30029200\n1995-12-28,3.203704,3.203704,3.129630,3.138889,2.792011,51989200\n1995-12-29,3.148148,3.166667,3.092592,3.138889,2.792011,45870000\n1996-01-02,3.166667,3.212963,3.138889,3.203704,2.849662,45602800\n1996-01-03,3.148148,3.212963,3.055556,3.055556,2.717887,55518000\n1996-01-04,3.083333,3.083333,2.935185,3.018518,2.684943,129803200\n1996-01-05,2.972222,3.185185,2.944444,3.175926,2.824955,83783200\n1996-01-08,3.222222,3.231482,3.120370,3.129630,2.783775,12593200\n1996-01-09,3.138889,3.138889,2.925926,2.981482,2.651999,96068400\n1996-01-10,2.935185,3.148148,2.925926,3.037037,2.701415,124564000\n1996-01-11,3.083333,3.129630,3.018518,3.101852,2.759067,61104400\n1996-01-12,3.111111,3.157408,3.083333,3.157408,2.808483,61249200\n1996-01-15,3.175926,3.185185,2.925926,2.962963,2.635525,69793200\n1996-01-16,2.990741,3.101852,2.944444,3.092592,2.750831,78514000\n1996-01-17,3.046296,3.277778,3.037037,3.166667,2.816719,79512000\n1996-01-18,3.203704,3.296296,3.203704,3.296296,2.932024,56856400\n1996-01-19,3.324074,3.407408,3.296296,3.370370,2.997912,63830400\n1996-01-22,3.351852,3.435185,3.351852,3.407408,3.030855,51492400\n1996-01-23,3.388889,3.500000,3.370370,3.425926,3.047327,67290000\n1996-01-24,3.481482,3.638889,3.425926,3.638889,3.236756,88524400\n1996-01-25,3.657408,3.666667,3.500000,3.537037,3.146160,57434800\n1996-01-26,3.509259,3.574074,3.444444,3.509259,3.121452,54751200\n1996-01-29,3.518518,3.564815,3.490741,3.490741,3.104980,22008400\n1996-01-30,3.509259,3.537037,3.472222,3.509259,3.121452,25807200\n1996-01-31,3.537037,3.564815,3.462963,3.537037,3.146160,49115200\n1996-02-01,3.527778,3.555556,3.481482,3.527778,3.137923,33097200\n1996-02-02,3.537037,3.675926,3.527778,3.648148,3.244992,62912400\n1996-02-05,3.648148,3.777778,3.629630,3.759259,3.343823,61314000\n1996-02-06,3.768518,3.777778,3.657408,3.712963,3.302644,71672400\n1996-02-07,3.703704,3.712963,3.587963,3.620370,3.220284,50296000\n1996-02-08,3.611111,3.722222,3.564815,3.722222,3.310880,61416400\n1996-02-09,3.712963,3.814815,3.629630,3.638889,3.236756,91428000\n1996-02-12,3.638889,3.731482,3.629630,3.699074,3.290291,41428800\n1996-02-13,3.620370,3.759259,3.611111,3.722222,3.310880,56459200\n1996-02-14,3.731482,3.805556,3.685185,3.791667,3.372650,55507200\n1996-02-15,3.777778,3.935185,3.777778,3.916667,3.483837,79474000\n1996-02-16,3.907408,3.944444,3.861111,3.888889,3.459129,60269200\n1996-02-20,3.796296,3.907408,3.787037,3.842592,3.417948,41756400\n1996-02-21,3.870370,3.925926,3.824074,3.925926,3.492073,33825600\n1996-02-22,3.962963,4.046296,3.962963,4.009259,3.566197,62515600\n1996-02-23,4.027778,4.037037,3.884259,3.972222,3.533253,53784400\n1996-02-26,4.000000,4.074074,3.962963,4.018518,3.574433,50557200\n1996-02-27,4.037037,4.037037,3.907408,3.921296,3.487954,54656800\n1996-02-28,3.935185,4.018518,3.888889,3.907408,3.475600,40702000\n1996-02-29,3.851852,3.925926,3.787037,3.851852,3.426184,44960400\n1996-03-01,3.861111,3.861111,3.620370,3.638889,3.236756,79750800\n1996-03-04,3.694444,3.703704,3.555556,3.583333,3.187340,47477200\n1996-03-05,3.564815,3.851852,3.537037,3.833333,3.409713,65632000\n1996-03-06,3.740741,3.777778,3.583333,3.675926,3.269700,117099600\n1996-03-07,3.722222,3.722222,3.675926,3.685185,3.277937,59216400\n1996-03-08,3.592592,3.685185,3.481482,3.481482,3.096743,71002800\n1996-03-11,3.555556,3.703704,3.518518,3.694444,3.286172,56098800\n1996-03-12,3.666667,3.685185,3.518518,3.574074,3.179104,68634000\n1996-03-13,3.629630,3.712963,3.611111,3.675926,3.269700,60023200\n1996-03-14,3.694444,3.703704,3.546296,3.564815,3.170868,74817600\n1996-03-15,3.592592,3.685185,3.564815,3.620370,3.220284,106088400\n1996-03-18,3.675926,3.740741,3.675926,3.722222,3.310880,45759600\n1996-03-19,3.768518,3.796296,3.657408,3.694444,3.286172,40910400\n1996-03-20,3.694444,3.708333,3.611111,3.694444,3.286172,33072000\n1996-03-21,3.703704,3.722222,3.583333,3.601852,3.203811,41194800\n1996-03-22,3.648148,3.648148,3.462963,3.620370,3.220284,87752400\n1996-03-25,3.648148,3.666667,3.527778,3.527778,3.137923,68666800\n1996-03-26,3.509259,3.620370,3.481482,3.555556,3.162632,48683200\n1996-03-27,3.564815,3.620370,3.546296,3.574074,3.179104,24835200\n1996-03-28,3.537037,3.611111,3.518518,3.564815,3.170868,38156400\n1996-03-29,3.583333,3.592592,3.472222,3.490741,3.104980,29840800\n1996-04-01,3.518518,3.527778,3.407408,3.472222,3.088508,50288400\n1996-04-02,3.518518,3.527778,3.453704,3.481482,3.096743,28574800\n1996-04-03,3.453704,3.453704,3.351852,3.379630,3.006147,88381600\n1996-04-04,3.388889,3.425926,3.361111,3.370370,2.997912,70027200\n1996-04-08,3.259259,3.268518,3.185185,3.203704,2.849662,193920000\n1996-04-09,3.250000,3.259259,2.943281,3.074074,2.734359,388101600\n1996-04-10,3.129630,3.250000,3.129630,3.203704,2.849662,146442400\n1996-04-11,3.222222,3.296296,3.134259,3.250000,2.890843,92761200\n1996-04-12,3.268518,3.277778,3.185185,3.259259,2.899079,51095200\n1996-04-15,3.259259,3.296296,3.203704,3.217592,2.862017,36982800\n1996-04-16,3.342592,3.425926,3.324074,3.393518,3.018501,82638400\n1996-04-17,3.402778,3.500000,3.388889,3.458333,3.076153,56881600\n1996-04-18,3.513889,3.555556,3.486111,3.527778,3.137923,39338800\n1996-04-19,3.638889,3.652778,3.527778,3.555556,3.162632,50414400\n1996-04-22,3.625000,3.708333,3.607633,3.680556,3.273817,54228400\n1996-04-23,3.708333,3.805556,3.694444,3.777778,3.360296,41809200\n1996-04-24,3.833333,3.895833,3.789922,3.847222,3.422066,58420800\n1996-04-25,3.861111,3.861111,3.722222,3.819444,3.397358,33487200\n1996-04-26,3.777778,3.902778,3.777778,3.791667,3.372650,27234000\n1996-04-29,3.791667,3.861111,3.763889,3.805556,3.385005,19857600\n1996-04-30,3.833333,3.847222,3.708333,3.750000,3.335588,23940000\n1996-05-01,3.750000,3.819444,3.708333,3.791667,3.372650,21137200\n1996-05-02,3.791667,3.791667,3.638889,3.652778,3.249110,29428000\n1996-05-03,3.715278,3.763889,3.638889,3.701389,3.292349,29212000\n1996-05-06,3.708333,3.805556,3.708333,3.791667,3.372650,26137600\n1996-05-07,3.805556,3.805556,3.694444,3.722222,3.310880,29140000\n1996-05-08,3.722222,3.722222,3.555556,3.652778,3.249110,45999600\n1996-05-09,3.694444,3.736111,3.666667,3.736111,3.323234,18920400\n1996-05-10,3.776033,3.791667,3.722222,3.763889,3.347942,28980400\n1996-05-13,3.777778,3.888889,3.750000,3.875000,3.446775,31298800\n1996-05-14,3.902778,3.958333,3.888889,3.902778,3.471482,39534000\n1996-05-15,3.902778,3.930556,3.819444,3.833333,3.409713,29282800\n1996-05-16,3.791667,3.916667,3.763889,3.888889,3.459129,36248400\n1996-05-17,3.930556,3.986111,3.875000,3.902778,3.471482,27947200\n1996-05-20,3.930556,4.000000,3.930556,3.944444,3.508545,30397200\n1996-05-21,3.984367,4.000000,3.930556,3.944444,3.508545,28045600\n1996-05-22,3.930556,3.972222,3.708333,3.777778,3.360296,57283200\n1996-05-23,3.861111,3.861111,3.722222,3.763889,3.347942,60604000\n1996-05-24,3.819444,3.819444,3.694444,3.694444,3.286172,31228800\n1996-05-28,3.736111,3.736111,3.666667,3.680556,3.273817,30819600\n1996-05-29,3.708333,3.708333,3.611111,3.638889,3.236756,29542000\n1996-05-30,3.652778,3.750000,3.611111,3.694444,3.286172,28426000\n1996-05-31,3.750000,3.763889,3.638889,3.680556,3.273817,44240400\n1996-06-03,3.680556,3.680556,3.583333,3.611111,3.212048,47610000\n1996-06-04,3.652778,3.680556,3.597222,3.666667,3.261464,40732800\n1996-06-05,3.680556,3.777778,3.638889,3.777778,3.360296,33570400\n1996-06-06,3.791667,3.833333,3.638889,3.652778,3.249110,35834400\n1996-06-07,3.597222,3.763889,3.555556,3.763889,3.347942,33907200\n1996-06-10,3.777778,3.819444,3.666667,3.687500,3.279995,24889200\n1996-06-11,3.722222,3.819444,3.694444,3.763889,3.347942,31120800\n1996-06-12,3.819444,3.875000,3.791667,3.833333,3.409713,40072000\n1996-06-13,3.833333,3.847222,3.750000,3.819444,3.397358,25837600\n1996-06-14,3.819444,3.819444,3.708333,3.763889,3.347942,27813600\n1996-06-17,3.819444,3.819444,3.722222,3.763889,3.347942,24302400\n1996-06-18,3.777778,3.791667,3.680556,3.722222,3.310880,28930000\n1996-06-19,3.736111,3.833333,3.708333,3.819444,3.397358,45619600\n1996-06-20,3.861111,3.958333,3.722222,3.875000,3.446775,62536000\n1996-06-21,4.236111,4.250000,4.041667,4.222222,3.755626,140348400\n1996-06-24,4.208333,4.236111,4.152778,4.208333,3.743271,41875600\n1996-06-25,4.208333,4.305555,4.180555,4.236111,3.767979,41244000\n1996-06-26,4.236111,4.236111,4.138889,4.152778,3.693855,34527600\n1996-06-27,4.152778,4.388889,4.111111,4.388889,3.903874,50740800\n1996-06-28,4.402778,4.486111,4.319445,4.381945,3.897696,53573200\n1996-07-01,4.388889,4.444445,4.333333,4.347222,3.866812,27046800\n1996-07-02,4.319445,4.361111,4.236111,4.250000,3.780334,32082000\n1996-07-03,4.236111,4.250000,4.194445,4.250000,3.780334,23870400\n1996-07-05,4.180555,4.194445,4.097222,4.125000,3.669146,14092800\n1996-07-08,4.125000,4.250000,4.069445,4.194445,3.730917,49334400\n1996-07-09,4.263889,4.291667,4.138889,4.166667,3.706209,29491600\n1996-07-10,4.194445,4.263889,4.125000,4.263889,3.792686,35836800\n1996-07-11,4.208333,4.236111,4.083333,4.180555,3.718563,62100400\n1996-07-12,4.222222,4.250000,4.069445,4.138889,3.681501,29214400\n1996-07-15,4.140622,4.166667,3.944444,3.986111,3.545606,50607600\n1996-07-16,3.944444,4.083333,3.694444,4.027778,3.582669,104452800\n1996-07-17,4.138889,4.208333,4.000000,4.166667,3.706209,66102000\n1996-07-18,4.180555,4.236111,4.138889,4.222222,3.755626,38336800\n1996-07-19,4.180555,4.194445,4.097222,4.125000,3.669146,31993200\n1996-07-22,4.111111,4.125000,4.055555,4.111111,3.656793,24928800\n1996-07-23,4.138889,4.194445,3.986111,4.000000,3.557961,42314400\n1996-07-24,3.833333,4.097222,3.833333,4.055555,3.607377,49374400\n1996-07-25,4.055555,4.250000,4.055555,4.236111,3.767979,52945200\n1996-07-26,4.222222,4.277778,4.180555,4.236111,3.767979,29223600\n1996-07-29,4.194445,4.305555,4.194445,4.194445,3.730917,22145200\n1996-07-30,4.222222,4.250000,4.125000,4.250000,3.780334,16802800\n1996-07-31,4.263889,4.347222,4.250000,4.347222,3.866812,31266400\n1996-08-01,4.347222,4.430555,4.319445,4.361111,3.879166,33699600\n1996-08-02,4.402778,4.444445,4.375000,4.402778,3.916226,37225600\n1996-08-05,4.416667,4.430555,4.263889,4.291667,3.817394,20058000\n1996-08-06,4.277778,4.444445,4.236111,4.430555,3.940935,28454400\n1996-08-07,4.458333,4.666667,4.430555,4.645833,4.132424,60687600\n1996-08-08,4.597222,4.680555,4.527778,4.527778,4.027414,36590800\n1996-08-09,4.513889,4.652778,4.458333,4.597222,4.089184,42211600\n1996-08-12,4.611111,4.666667,4.513889,4.583333,4.076830,27784800\n1996-08-13,4.541667,4.583333,4.444445,4.513889,4.015060,32004000\n1996-08-14,4.527778,4.583333,4.472222,4.513889,4.015060,22608000\n1996-08-15,4.513889,4.513889,4.416667,4.430555,3.940935,27615600\n1996-08-16,4.472222,4.472222,4.388889,4.416667,3.928583,28794400\n1996-08-19,4.444445,4.444445,4.361111,4.402778,3.916226,23042400\n1996-08-20,4.388889,4.402778,4.250000,4.333333,3.854456,37595200\n1996-08-21,4.208333,4.222222,4.111111,4.208333,3.743271,66442000\n1996-08-22,4.208333,4.236111,4.166667,4.236111,3.767979,31723200\n1996-08-23,4.236111,4.361111,4.208333,4.319445,3.842104,35185200\n1996-08-26,4.305555,4.305555,4.236111,4.236111,3.767979,17714400\n1996-08-27,4.263889,4.305555,4.222222,4.250000,3.780334,21181200\n1996-08-28,4.263889,4.263889,4.111111,4.152778,3.693855,37978000\n1996-08-29,4.138889,4.166667,4.041667,4.041667,3.595022,36720000\n1996-08-30,4.000000,4.027778,3.902778,3.916667,3.483837,59006400\n1996-09-03,3.861111,4.152778,3.833333,4.138889,3.681501,42780400\n1996-09-04,4.125000,4.194445,4.055555,4.180555,3.718563,36766800\n1996-09-05,4.166667,4.250000,4.097222,4.111111,3.656793,45176400\n1996-09-06,4.138889,4.194445,4.111111,4.166667,3.706209,28922800\n1996-09-09,4.180555,4.194445,4.083333,4.166667,3.706209,21618400\n1996-09-10,4.194445,4.208333,4.111111,4.166667,3.706209,21914800\n1996-09-11,4.138889,4.138889,4.000000,4.069445,3.619730,36380400\n1996-09-12,4.097222,4.208333,4.013889,4.166667,3.706209,72135600\n1996-09-13,4.513889,4.680555,4.444445,4.680555,4.163309,137418000\n1996-09-16,4.666667,4.694445,4.569445,4.625000,4.113893,65257200\n1996-09-17,4.694445,4.694445,4.611111,4.625000,4.113893,47449600\n1996-09-18,4.611111,4.888889,4.583333,4.819445,4.286849,70453600\n1996-09-19,4.819445,4.875000,4.729167,4.833333,4.299203,41036800\n1996-09-20,4.847222,4.944445,4.750000,4.944445,4.398034,51914400\n1996-09-23,4.902778,4.916667,4.763889,4.763889,4.237434,26159200\n1996-09-24,4.777778,4.833333,4.736111,4.805555,4.274496,32218800\n1996-09-25,4.847222,4.861111,4.763889,4.812500,4.280673,25498800\n1996-09-26,4.833333,4.888889,4.680555,4.708333,4.188017,42944800\n1996-09-27,4.708333,4.791667,4.666667,4.770833,4.243610,31670800\n1996-09-30,4.763889,4.791667,4.722222,4.729167,4.206548,19625200\n1996-10-01,4.715278,4.784722,4.694445,4.736111,4.212725,28844800\n1996-10-02,4.750000,4.916667,4.736111,4.916667,4.373327,69026800\n1996-10-03,4.958333,5.000000,4.888889,4.916667,4.373327,47147200\n1996-10-04,4.958333,5.055555,4.944445,5.027778,4.472159,44636800\n1996-10-07,5.055555,5.152778,5.013889,5.111111,4.546282,40375600\n1996-10-08,5.125000,5.125000,4.958333,4.972222,4.422743,27200400\n1996-10-09,5.027778,5.041667,4.888889,4.902778,4.360972,27216000\n1996-10-10,4.888889,5.013889,4.875000,4.986111,4.435096,24118000\n1996-10-11,5.013889,5.055555,4.972222,5.013889,4.459805,20200000\n1996-10-14,5.027778,5.083333,4.986111,5.055555,4.496868,20278800\n1996-10-15,5.097222,5.111111,4.958333,4.972222,4.422743,29950800\n1996-10-16,4.958333,4.986111,4.916667,4.944445,4.398034,17309200\n1996-10-17,4.986111,5.013889,4.847222,4.861111,4.323911,25298800\n1996-10-18,4.875000,4.972222,4.847222,4.944445,4.398034,32248800\n1996-10-21,4.944445,5.013889,4.763889,4.791667,4.262139,25776400\n1996-10-22,4.750000,4.763889,4.611111,4.666667,4.150953,41041600\n1996-10-23,4.666667,4.763889,4.611111,4.708333,4.188017,39315600\n1996-10-24,4.750000,4.875000,4.638889,4.777778,4.249787,24696000\n1996-10-25,4.763889,4.805555,4.694445,4.701389,4.181839,14218800\n1996-10-28,4.750000,4.819445,4.694445,4.722222,4.200370,22207200\n1996-10-29,4.736111,4.777778,4.597222,4.611111,4.101537,21115600\n1996-10-30,4.638889,4.666667,4.555555,4.569445,4.064476,25898400\n1996-10-31,4.597222,4.736111,4.541667,4.701389,4.181839,34004400\n1996-11-01,4.763889,4.930555,4.750000,4.902778,4.360972,44876400\n1996-11-04,4.944445,4.986111,4.888889,4.972222,4.422743,27158400\n1996-11-05,5.013889,5.027778,4.791667,4.902778,4.360972,71874000\n1996-11-06,4.958333,5.055555,4.902778,5.000000,4.447452,61610800\n1996-11-07,5.013889,5.055555,4.916667,5.013889,4.459805,52985200\n1996-11-08,5.013889,5.125000,5.000000,5.109367,4.544732,45939600\n1996-11-11,5.138889,5.194445,5.027778,5.069445,4.509221,29286000\n1996-11-12,5.097222,5.111111,4.958333,4.986111,4.435096,22622800\n1996-11-13,5.013889,5.097222,4.930555,5.055555,4.496868,23460000\n1996-11-14,5.069445,5.319445,5.027778,5.263889,4.682178,41656000\n1996-11-15,5.319445,5.361111,5.138889,5.222222,4.645113,39432400\n1996-11-18,5.222222,5.250000,5.055555,5.166667,4.595698,23641200\n1996-11-19,5.166667,5.194445,5.111111,5.125000,4.558638,26652400\n1996-11-20,5.180555,5.319445,5.125000,5.319445,4.731593,31980400\n1996-11-21,5.333333,5.500000,5.222222,5.250000,4.669824,53435200\n1996-11-22,5.263889,5.569445,5.263889,5.527778,4.916903,39298000\n1996-11-25,5.541667,5.569445,5.430555,5.527778,4.916903,44185200\n1996-11-26,5.527778,5.569445,5.375000,5.500000,4.892195,35476000\n1996-11-27,5.527778,5.527778,5.444445,5.472222,4.867488,21384000\n1996-11-29,5.493055,5.513889,5.444445,5.444445,4.842780,9448800\n1996-12-02,5.430555,5.527778,5.361111,5.513889,4.904551,25705600\n1996-12-03,5.541667,5.666667,5.501733,5.527778,4.916903,37220400\n1996-12-04,5.513889,5.527778,5.166667,5.194445,4.620408,77348400\n1996-12-05,5.194445,5.222222,5.097222,5.208333,4.632761,45355200\n1996-12-06,5.055555,5.194445,4.986111,5.069445,4.509221,44388000\n1996-12-09,5.111111,5.416667,5.083333,5.416667,4.818072,39070800\n1996-12-10,5.541667,5.583333,5.430555,5.486111,4.879842,42397200\n1996-12-11,5.402778,5.486111,5.222222,5.333333,4.743948,51596800\n1996-12-12,5.416667,5.486111,5.222222,5.250000,4.669824,39253200\n1996-12-13,4.875000,4.958333,4.770833,4.888889,4.348619,226649200\n1996-12-16,4.958333,4.972222,4.708333,4.729167,4.206548,67174000\n1996-12-17,4.694445,4.819445,4.611111,4.805555,4.274496,69094800\n1996-12-18,4.819445,4.833333,4.666667,4.694445,4.175663,67948800\n1996-12-19,4.763889,4.777778,4.638889,4.680555,4.163309,70351200\n1996-12-20,4.708333,4.888889,4.583333,4.805555,4.274496,67197600\n1996-12-23,4.819445,4.847222,4.666667,4.708333,4.188017,25519200\n1996-12-24,4.722222,4.819445,4.666667,4.805555,4.274496,9664000\n1996-12-26,4.819445,4.902778,4.805555,4.895833,4.354796,26186800\n1996-12-27,4.902778,4.902778,4.722222,4.763889,4.237434,26539600\n1996-12-30,4.791667,4.819445,4.625000,4.631945,4.120068,27697200\n1996-12-31,4.652778,4.708333,4.625000,4.638889,4.126245,31612000\n1997-01-02,4.680555,4.722222,4.527778,4.666667,4.150953,54342000\n1997-01-03,4.750000,4.958333,4.736111,4.958333,4.410389,47344000\n1997-01-06,5.000000,5.013889,4.956589,4.986111,4.435096,35467600\n1997-01-07,4.972222,4.986111,4.875000,4.972222,4.422743,32473600\n1997-01-08,4.979167,5.013889,4.798611,4.819445,4.286849,41618400\n1997-01-09,4.875000,4.888889,4.625000,4.638889,4.126245,81560400\n1997-01-10,4.625000,4.652778,4.500000,4.541667,4.039767,120012000\n1997-01-13,4.583333,4.597222,4.513889,4.555555,4.052123,53683200\n1997-01-14,4.611111,4.861111,4.597222,4.805555,4.274496,65166000\n1997-01-15,4.847222,4.847222,4.583333,4.583333,4.076830,52612000\n1997-01-16,4.652778,4.750000,4.562500,4.583333,4.076830,61376400\n1997-01-17,4.583333,4.708333,4.555555,4.611111,4.101537,54756400\n1997-01-20,4.652778,4.763889,4.625000,4.736111,4.212725,38761600\n1997-01-21,4.763889,4.833333,4.611111,4.638889,4.126245,64057200\n1997-01-22,4.638889,4.750000,4.625000,4.708333,4.188017,57422400\n1997-01-23,4.763889,4.763889,4.486111,4.500000,4.002706,85063200\n1997-01-24,4.513889,4.513889,4.347222,4.402778,3.916226,106879200\n1997-01-27,4.416667,4.444445,4.166667,4.236111,3.767979,105248400\n1997-01-28,4.402778,4.402778,4.138889,4.180555,3.718563,136550400\n1997-01-29,4.236111,4.277778,4.166667,4.187500,3.724741,85716400\n1997-01-30,4.236111,4.250000,4.111111,4.166667,3.706209,96756000\n1997-01-31,4.208333,4.416667,4.166667,4.319445,3.842104,85518000\n1997-02-03,4.375000,4.472222,4.347222,4.375000,3.891519,59693200\n1997-02-04,4.416667,4.472222,4.361111,4.430555,3.940935,50998000\n1997-02-05,4.500000,4.500000,4.180555,4.291667,3.817394,71854000\n1997-02-06,4.319445,4.458333,4.305555,4.388889,3.903874,70651600\n1997-02-07,4.458333,4.486111,4.361111,4.444445,3.953291,34070400\n1997-02-10,4.472222,4.541667,4.430555,4.458333,3.965643,48582400\n1997-02-11,4.458333,4.486111,4.305555,4.347222,3.866812,68290000\n1997-02-12,4.444445,4.611111,4.430555,4.604167,4.095362,79970400\n1997-02-13,4.652778,4.694445,4.541667,4.590278,4.083007,49575600\n1997-02-14,4.597222,4.652778,4.527778,4.541667,4.039767,36990400\n1997-02-18,4.569445,4.569445,4.430555,4.527778,4.027414,36747600\n1997-02-19,4.527778,4.652778,4.472222,4.597222,4.089184,36259200\n1997-02-20,4.625000,4.736111,4.618055,4.638889,4.126245,59025600\n1997-02-21,4.652778,4.666667,4.486111,4.541667,4.039767,53787600\n1997-02-24,4.500000,4.541667,4.430555,4.479167,3.984174,35872000\n1997-02-25,4.513889,4.569445,4.451389,4.541667,4.039767,33200800\n1997-02-26,4.541667,4.611111,4.458333,4.527778,4.027414,27000000\n1997-02-27,4.527778,4.527778,4.430555,4.444445,3.953291,32756800\n1997-02-28,4.416667,4.458333,4.319445,4.361111,3.879166,45770400\n1997-03-03,4.361111,4.388889,4.236111,4.375000,3.891519,55296400\n1997-03-04,4.402778,4.444445,4.305555,4.388889,3.903874,68404000\n1997-03-05,4.416667,4.500000,4.319445,4.416667,3.928583,38626800\n1997-03-06,4.416667,4.416667,3.958333,4.062500,3.613554,170809600\n1997-03-07,4.125000,4.180555,3.916667,3.979167,3.539430,119399200\n1997-03-10,4.013889,4.083333,3.861111,4.000000,3.557961,86598400\n1997-03-11,4.055555,4.069445,3.902778,3.972222,3.533253,56134800\n1997-03-12,3.958333,3.972222,3.736111,3.791667,3.372650,77609200\n1997-03-13,3.805556,4.111111,3.791667,4.013889,3.570314,120247600\n1997-03-14,4.402778,4.569445,4.388889,4.555555,4.052123,155834800\n1997-03-17,4.500000,4.680555,4.430555,4.666667,4.150953,84920800\n1997-03-18,4.680555,4.722222,4.430555,4.500000,4.002706,65855200\n1997-03-19,4.416667,4.444445,4.250000,4.375000,3.891519,72075600\n1997-03-20,4.361111,4.500000,4.319445,4.430555,3.940935,53210400\n1997-03-21,4.472222,4.500000,4.416667,4.430555,3.940935,46664800\n1997-03-24,4.388889,4.444445,4.319445,4.430555,3.940935,43705600\n1997-03-25,4.458333,4.500000,4.291667,4.333333,3.854456,52729600\n1997-03-26,4.361111,4.527778,4.333333,4.500000,4.002706,44324800\n1997-03-27,4.513889,4.527778,4.291667,4.375000,3.891519,48680800\n1997-03-31,4.347222,4.375000,4.222222,4.284722,3.811220,40222800\n1997-04-01,4.055555,4.291667,4.027778,4.111111,3.656793,71017600\n1997-04-02,4.125000,4.180555,4.027778,4.083333,3.632085,42739200\n1997-04-03,4.097222,4.305555,4.013889,4.291667,3.817394,71208400\n1997-04-04,4.222222,4.416667,4.208333,4.319445,3.842104,54000000\n1997-04-07,4.388889,4.430555,4.319445,4.416667,3.928583,37730400\n1997-04-08,4.388889,4.416667,4.305555,4.388889,3.903874,27486000\n1997-04-09,4.402778,4.444445,4.250000,4.263889,3.792686,39940000\n1997-04-10,4.263889,4.277778,4.138889,4.166667,3.706209,34047600\n1997-04-11,4.097222,4.138889,4.055555,4.055555,3.607377,42588000\n1997-04-14,4.069445,4.333333,4.000000,4.319445,3.842104,41932800\n1997-04-15,4.361111,4.402778,4.013889,4.145833,3.687678,67640400\n1997-04-16,4.111111,4.180555,4.055555,4.166667,3.706209,31331200\n1997-04-17,4.194445,4.333333,4.097222,4.118055,3.662971,37100400\n1997-04-18,4.152778,4.194445,4.013889,4.125000,3.669146,53864800\n1997-04-21,4.083333,4.125000,3.986111,4.013889,3.570314,30331600\n1997-04-22,4.041667,4.041667,3.875000,3.916667,3.483837,48248800\n1997-04-23,3.944444,4.222222,3.902778,4.194445,3.730917,69930400\n1997-04-24,4.250000,4.430555,4.236111,4.388889,3.903874,66722800\n1997-04-25,4.347222,4.375000,4.208333,4.208333,3.743271,32589600\n1997-04-28,4.222222,4.319445,4.083333,4.222222,3.755626,30512400\n1997-04-29,4.333333,4.430555,4.222222,4.277778,3.805041,55114000\n1997-04-30,4.236111,4.444445,4.222222,4.416667,3.928583,80145600\n1997-05-01,4.430555,4.569445,4.402778,4.493055,3.996527,81002400\n1997-05-02,4.486111,4.736111,4.472222,4.722222,4.200370,65894400\n1997-05-05,4.763889,5.013889,4.750000,4.972222,4.422743,123752400\n1997-05-06,4.958333,5.000000,4.805555,4.881945,4.342444,62184400\n1997-05-07,4.805555,4.944445,4.763889,4.777778,4.249787,45734400\n1997-05-08,4.736111,4.944445,4.694445,4.875000,4.336265,60463600\n1997-05-09,4.902778,4.972222,4.750000,4.875000,4.336265,42534000\n1997-05-12,4.847222,4.958333,4.777778,4.861111,4.323911,37386400\n1997-05-13,4.916667,5.083333,4.902778,4.979167,4.428921,93182800\n1997-05-14,5.111111,5.125000,4.875000,4.923611,4.379503,74369200\n1997-05-15,4.930555,5.125000,4.916667,5.104167,4.540106,64282000\n1997-05-16,4.986111,5.097222,4.916667,4.930555,4.385682,69361200\n1997-05-19,4.916667,4.944445,4.833333,4.916667,4.373327,35838000\n1997-05-20,4.930555,5.027778,4.861111,5.027778,4.472159,44722800\n1997-05-21,5.097222,5.236111,5.097222,5.215278,4.638939,80141200\n1997-05-22,5.263889,5.291667,5.166667,5.194445,4.620408,43659600\n1997-05-23,5.194445,5.263889,5.138889,5.222222,4.645113,22555600\n1997-05-27,5.166667,5.319445,5.111111,5.263889,4.682178,39391200\n1997-05-28,5.250000,5.305555,5.166667,5.236111,4.657469,40014000\n1997-05-29,5.263889,5.347222,5.194445,5.236111,4.657469,48439600\n1997-05-30,4.888889,5.236111,4.888889,5.180555,4.608054,69277200\n1997-06-02,5.194445,5.444445,5.111111,5.444445,4.842780,55036800\n1997-06-03,5.416667,5.430555,5.159722,5.166667,4.595698,59567200\n1997-06-04,5.180555,5.270833,5.111111,5.187500,4.614232,51326800\n1997-06-05,5.236111,5.375000,5.222222,5.277778,4.694531,49992000\n1997-06-06,5.277778,5.444445,5.263889,5.444445,4.842780,60370000\n1997-06-09,5.437500,5.513889,5.416667,5.444445,4.842780,44697600\n1997-06-10,5.437500,5.479167,5.270833,5.291667,4.706884,41639200\n1997-06-11,5.291667,5.437500,5.243055,5.409722,4.811897,31883200\n1997-06-12,5.402778,5.548611,5.381945,5.510411,4.901457,52849600\n1997-06-13,5.500000,5.777778,5.458333,5.777778,5.139277,95150400\n1997-06-16,5.777778,5.888889,5.680555,5.812500,5.170162,85806000\n1997-06-17,5.784722,5.944445,5.763889,5.916667,5.262816,67363600\n1997-06-18,5.625000,5.763889,5.555555,5.590278,4.972497,99493200\n1997-06-19,5.583333,5.638889,5.486111,5.506945,4.898373,63288000\n1997-06-20,5.513889,5.541667,5.361111,5.361111,4.768656,79124800\n1997-06-23,5.416667,5.513889,5.361111,5.361111,4.768656,64330800\n1997-06-24,5.444445,5.597222,5.347222,5.569445,4.953968,51370800\n1997-06-25,5.611111,5.777778,5.513889,5.659722,5.034267,73665600\n1997-06-26,5.638889,5.756945,5.597222,5.631945,5.009559,45954000\n1997-06-27,5.652778,5.708333,5.590278,5.597222,4.978674,34057600\n1997-06-30,5.597222,5.652778,5.458333,5.597222,4.978674,30344800\n1997-07-01,5.548611,5.597222,5.347222,5.395833,4.799540,46398400\n1997-07-02,5.409722,5.416667,5.263889,5.347222,4.756302,52347600\n1997-07-03,5.375000,5.541667,5.361111,5.527778,4.916903,22314400\n1997-07-07,5.541667,5.625000,5.444445,5.479167,4.873665,28595200\n1997-07-08,5.479167,5.666667,5.472222,5.659722,5.034267,30799600\n1997-07-09,5.694445,5.812500,5.666667,5.729167,5.096037,57402400\n1997-07-10,5.722222,5.854167,5.569445,5.784722,5.145454,48904000\n1997-07-11,5.777778,5.875000,5.763889,5.812500,5.170162,29149600\n1997-07-14,5.812500,5.979167,5.812500,5.972222,5.312233,35348400\n1997-07-15,6.111111,6.305555,6.069445,6.274300,5.580930,72235600\n1997-07-16,6.402778,6.555555,6.368055,6.381945,5.676676,75413200\n1997-07-17,6.395833,6.402778,6.194445,6.208333,5.522252,54171600\n1997-07-18,6.187500,6.284722,6.000000,6.208333,5.522252,73792800\n1997-07-21,6.208333,6.208333,6.041667,6.131945,5.454305,27925600\n1997-07-22,6.152778,6.333333,6.055555,6.319445,5.621084,36589200\n1997-07-23,6.381945,6.416667,6.111111,6.291667,5.596375,51559600\n1997-07-24,6.236111,6.298611,6.055555,6.083333,5.411065,45484800\n1997-07-25,6.097222,6.236111,6.041667,6.083333,5.411065,39303600\n1997-07-28,6.104167,6.180555,5.986111,6.055555,5.386356,29468400\n1997-07-29,6.048611,6.083333,5.951389,6.055555,5.386356,30496000\n1997-07-30,6.069445,6.250000,6.013889,6.152778,5.472835,32689600\n1997-07-31,6.166667,6.236111,6.027778,6.048611,5.380180,28381200\n1997-08-01,6.069445,6.194445,6.041667,6.097222,5.423419,39107200\n1997-08-04,6.125000,6.263889,6.097222,6.236111,5.546960,28911600\n1997-08-05,6.291667,6.333333,6.208333,6.312500,5.614906,37244400\n1997-08-06,6.333333,6.458333,6.277778,6.444445,5.732269,44258400\n1997-08-07,6.472222,6.486111,6.305555,6.319445,5.621084,49798800\n1997-08-08,6.250000,6.430555,6.166667,6.375000,5.670500,59587600\n1997-08-11,6.416667,6.430555,6.173611,6.333333,5.633438,38808400\n1997-08-12,6.381945,6.388889,6.250000,6.250000,5.559314,25628800\n1997-08-13,6.333333,6.347222,6.166667,6.305555,5.608728,33688800\n1997-08-14,6.333333,6.444445,6.312500,6.430555,5.719916,37004400\n1997-08-15,6.430555,6.513889,6.180555,6.194445,5.509898,46280400\n1997-08-18,6.208333,6.437500,6.020833,6.416667,5.707561,30523600\n1997-08-19,6.572917,6.864583,6.500000,6.854167,6.096715,60157200\n1997-08-20,6.979167,7.020833,6.760417,6.833333,6.078184,54691200\n1997-08-21,6.885417,6.895833,6.645833,6.666667,5.929935,36745200\n1997-08-22,6.562500,6.812500,6.416667,6.812500,6.059652,41149200\n1997-08-25,6.833333,6.843750,6.593750,6.604167,5.874341,27442000\n1997-08-26,6.604167,6.625000,6.406250,6.437500,5.726094,50060800\n1997-08-27,6.479167,6.541667,6.302083,6.395833,5.689031,33187200\n1997-08-28,6.395833,6.437500,6.020833,6.052083,5.383269,48157200\n1997-08-29,6.145833,6.416667,6.062500,6.354167,5.651969,50159200\n1997-09-02,6.437500,6.531250,6.354167,6.479167,5.763154,37926000\n1997-09-03,6.541667,6.562500,6.395833,6.416667,5.707561,30378000\n1997-09-04,6.458333,6.552083,6.416667,6.510417,5.790951,23112400\n1997-09-05,6.562500,6.656250,6.510417,6.583333,5.855811,21586800\n1997-09-08,6.614583,6.666667,6.531250,6.656250,5.920670,25388800\n1997-09-09,6.656250,6.677083,6.520833,6.635417,5.902138,27785200\n1997-09-10,6.604167,6.604167,6.270833,6.322917,5.624172,50615200\n1997-09-11,6.333333,6.531250,6.197917,6.489583,5.772420,34526800\n1997-09-12,6.541667,6.562500,6.312500,6.447917,5.735359,23408400\n1997-09-15,6.479167,6.572917,6.322917,6.333333,5.633438,31686400\n1997-09-16,6.395833,6.604167,6.333333,6.593750,5.865076,41924800\n1997-09-17,6.229167,6.270833,5.958333,6.010417,5.346207,164461200\n1997-09-18,6.135417,6.260417,6.031250,6.114583,5.438861,84763600\n1997-09-19,6.145833,6.281250,6.062500,6.250000,5.559314,61997200\n1997-09-22,6.312500,6.354167,6.187500,6.192700,5.508346,32969200\n1997-09-23,6.197917,6.322917,6.156250,6.229167,5.540783,30796000\n1997-09-24,6.416667,6.520833,6.312500,6.322917,5.624172,64599600\n1997-09-25,6.302083,6.437500,6.177083,6.375000,5.670500,35756800\n1997-09-26,6.406250,6.416667,6.229167,6.270833,5.577845,37310400\n1997-09-29,6.291667,6.312500,6.145833,6.229167,5.540783,30647200\n1997-09-30,6.229167,6.250000,6.072917,6.072917,5.401800,26588800\n1997-10-01,6.166667,6.166667,5.937500,6.000000,5.336940,37809600\n1997-10-02,6.041667,6.125000,5.916667,6.000000,5.336940,32830800\n1997-10-03,6.104167,6.291667,6.052083,6.145833,5.466659,32593200\n1997-10-06,6.208333,6.291667,6.125000,6.177083,5.494455,21720000\n1997-10-07,6.187500,6.291667,6.132800,6.255200,5.563939,25854400\n1997-10-08,6.291667,6.291667,6.125000,6.208333,5.522252,22747200\n1997-10-09,6.166667,6.250000,6.125000,6.197917,5.512986,17358000\n1997-10-10,6.104167,6.166667,6.000000,6.020833,5.355473,38638000\n1997-10-13,6.083333,6.114583,6.020833,6.062500,5.392535,21827200\n1997-10-14,6.052083,6.104167,5.937500,6.000000,5.336940,23269600\n1997-10-15,5.937500,5.989583,5.770833,5.822917,5.179426,53672800\n1997-10-16,5.875000,5.916667,5.666667,5.739583,5.105304,36670800\n1997-10-17,5.625000,5.760417,5.562500,5.697917,5.068242,45437200\n1997-10-20,5.750000,5.822917,5.697917,5.750000,5.114568,29237200\n1997-10-21,5.833333,5.958333,5.812500,5.947917,5.290613,38733600\n1997-10-22,5.968750,6.062500,5.812500,5.843750,5.197959,27979600\n1997-10-23,5.583333,5.791667,5.541667,5.687500,5.058978,30819600\n1997-10-24,5.791667,5.854167,5.593750,5.656250,5.031180,34748400\n1997-10-27,5.562500,5.666667,5.166667,5.208333,4.632761,43253200\n1997-10-28,4.833333,5.812500,4.791667,5.791667,5.151631,80150400\n1997-10-29,5.812500,5.979167,5.666667,5.843750,5.197959,62920000\n1997-10-30,5.583333,5.979167,5.583333,5.625000,5.003383,49981200\n1997-10-31,5.843750,5.979167,5.750000,5.963533,5.304505,55548000\n1997-11-03,6.020833,6.125000,5.833333,5.979167,5.318412,49340800\n1997-11-04,6.000000,6.145833,5.958333,6.114583,5.438861,42404800\n1997-11-05,6.145833,6.208333,6.041667,6.062500,5.392535,24966400\n1997-11-06,6.052083,6.062500,5.864583,5.895833,5.244286,29761200\n1997-11-07,5.687500,5.854167,5.625000,5.822917,5.179426,32662000\n1997-11-10,5.895833,6.000000,5.750000,5.770833,5.133100,24766800\n1997-11-11,5.833333,5.854167,5.708333,5.822917,5.179426,23399200\n1997-11-12,5.708333,5.833333,5.291667,5.416667,4.818072,50317600\n1997-11-13,5.541667,5.604167,5.322917,5.562500,4.947790,44474400\n1997-11-14,5.604167,5.812500,5.583333,5.739583,5.105304,30315600\n1997-11-17,5.864583,6.020833,5.833333,5.875000,5.225755,44148000\n1997-11-18,5.895833,5.906250,5.770833,5.791667,5.151631,20984400\n1997-11-19,5.791667,5.833333,5.666667,5.802083,5.160895,18663600\n1997-11-20,5.854167,5.968750,5.770833,5.864583,5.216490,24085200\n1997-11-21,5.958333,5.979167,5.729167,5.833333,5.188694,31270800\n1997-11-24,5.687500,5.708333,5.333333,5.416667,4.818072,63726000\n1997-11-25,5.604167,5.666667,5.437500,5.572917,4.957056,46028400\n1997-11-26,5.635417,5.697917,5.437500,5.479167,4.873665,29482800\n1997-11-28,5.479167,5.583333,5.416667,5.552083,4.938524,13800400\n1997-12-01,5.375000,5.395833,5.208333,5.312500,4.725417,73718800\n1997-12-02,5.270833,5.281250,5.000000,5.062500,4.503043,60875200\n1997-12-03,5.031250,5.104167,4.937500,5.041667,4.484512,73313200\n1997-12-04,5.125000,5.229167,5.031250,5.041667,4.484512,41658000\n1997-12-05,5.041667,5.250000,5.031250,5.197917,4.623497,46664400\n1997-12-08,5.312500,5.416667,5.218750,5.395833,4.799540,49045600\n1997-12-09,3.833333,4.000000,3.729167,3.822917,3.400446,1030963200\n1997-12-10,3.937500,3.979167,3.791667,3.906250,3.474571,397717600\n1997-12-11,3.875000,3.906250,3.625000,3.656250,3.252199,197842000\n1997-12-12,3.729167,3.828117,3.656250,3.791667,3.372650,110834800\n1997-12-15,3.885417,3.906250,3.802083,3.864583,3.437509,90271200\n1997-12-16,3.906250,3.927083,3.854167,3.885417,3.456040,84283200\n1997-12-17,3.937500,3.958333,3.729167,3.770833,3.354120,79088400\n1997-12-18,3.833333,3.833333,3.666667,3.666667,3.261464,72074800\n1997-12-19,3.604167,3.697917,3.500000,3.604167,3.205870,105211600\n1997-12-22,3.656250,3.791667,3.604167,3.625000,3.224402,58378000\n1997-12-23,3.645833,3.645833,3.489583,3.520833,3.131747,62624400\n1997-12-24,3.520833,3.562500,3.500000,3.510417,3.122482,28986000\n1997-12-26,3.541667,3.572917,3.510417,3.572917,3.178074,22574400\n1997-12-29,3.656250,3.666667,3.572917,3.625000,3.224402,45751200\n1997-12-30,3.635417,3.729167,3.625000,3.729167,3.317056,43931200\n1997-12-31,3.729167,3.750000,3.666667,3.718750,3.307792,51522000\n1998-01-02,3.729167,3.906250,3.687500,3.833333,3.409713,29168800\n1998-01-05,3.854167,3.916667,3.812500,3.895833,3.465306,66106800\n1998-01-06,3.885417,3.895833,3.739583,3.781250,3.363385,41610000\n1998-01-07,3.750000,3.750000,3.500000,3.520833,3.131747,98762400\n1998-01-08,3.552083,3.583333,3.354167,3.385417,3.011295,97678800\n1998-01-09,3.375000,3.375000,3.104167,3.125000,2.779657,149899600\n1998-01-12,3.062500,3.125000,2.958333,3.010417,2.677737,150830400\n1998-01-13,3.145833,3.208333,3.062500,3.177083,2.825984,129452800\n1998-01-14,3.229167,3.312500,3.187500,3.260417,2.900108,99942400\n1998-01-15,3.281250,3.291667,3.145833,3.208333,2.853781,59463600\n1998-01-16,3.250000,3.302083,3.218750,3.239583,2.881577,71509600\n1998-01-20,3.354167,3.375000,3.291667,3.375000,3.002029,60654400\n1998-01-21,3.395833,3.416667,3.333333,3.354167,2.983498,45778800\n1998-01-22,3.354167,3.364583,3.291667,3.322917,2.955702,40696000\n1998-01-23,3.375000,3.375000,3.197917,3.239583,2.881577,54330000\n1998-01-26,3.250000,3.250000,3.145833,3.156250,2.807453,45301200\n1998-01-27,3.145833,3.197917,3.125000,3.166667,2.816719,53340000\n1998-01-28,3.427083,3.583333,3.416667,3.531250,3.141012,153802000\n1998-01-29,3.593750,3.812500,3.583333,3.723950,3.312417,125407200\n1998-01-30,3.812500,3.979167,3.791667,3.875000,3.446775,128443600\n1998-02-02,4.125000,4.145833,4.072917,4.104167,3.650616,100587600\n1998-02-03,4.135417,4.145833,4.020833,4.114583,3.659882,67231200\n1998-02-04,4.062500,4.125000,4.031250,4.072917,3.622820,50851600\n1998-02-05,4.114583,4.208333,3.937500,3.979167,3.539430,70332000\n1998-02-06,3.979167,4.500000,3.958333,4.500000,4.002706,133721200\n1998-02-09,4.729167,4.789050,4.500000,4.614583,4.104626,161128800\n1998-02-10,4.656250,4.656250,4.468750,4.541667,4.039767,99506800\n1998-02-11,4.489583,4.562500,4.427083,4.489583,3.993439,58904400\n1998-02-12,4.395833,4.500000,4.302083,4.479167,3.984174,65746800\n1998-02-13,4.406250,4.458333,4.354167,4.416667,3.928583,35910400\n1998-02-17,4.479167,4.500000,4.239583,4.270833,3.798865,43597200\n1998-02-18,4.250000,4.364583,4.187500,4.322917,3.845192,37574400\n1998-02-19,4.343750,4.354167,4.187500,4.218750,3.752536,54198400\n1998-02-20,4.270833,4.270833,4.052083,4.187500,3.724741,59090800\n1998-02-23,4.270833,4.406250,4.250000,4.395833,3.910050,67914000\n1998-02-24,4.458333,4.468750,4.291667,4.364583,3.882254,50905200\n1998-02-25,4.364583,4.385417,4.218750,4.343750,3.863722,55740000\n1998-02-26,4.291667,4.312500,4.187500,4.260417,3.789598,53124400\n1998-02-27,4.229167,4.239583,4.062500,4.104167,3.650616,79120000\n1998-03-02,4.093750,4.114583,4.020833,4.020833,3.576491,41014800\n1998-03-03,4.114583,4.364583,4.020833,4.343750,3.863722,105721600\n1998-03-04,4.333333,4.458333,4.281250,4.343750,3.863722,57533200\n1998-03-05,4.187500,4.322917,4.161450,4.218750,3.752536,50005600\n1998-03-06,4.260417,4.500000,4.187500,4.479167,3.984174,73587600\n1998-03-09,4.468750,4.513017,4.229167,4.260417,3.789598,79208800\n1998-03-10,4.458333,4.520833,4.346350,4.500000,4.002706,83075200\n1998-03-11,4.531250,4.677083,4.520833,4.656250,4.141690,110964400\n1998-03-12,4.625000,4.708333,4.458333,4.614583,4.104626,94375200\n1998-03-13,5.166667,5.166667,4.833333,4.864583,4.327000,264699600\n1998-03-16,4.895833,4.989583,4.895833,4.937500,4.391857,64366800\n1998-03-17,4.937500,4.947917,4.750000,4.791667,4.262139,57643200\n1998-03-18,4.729167,4.927083,4.708333,4.895833,4.354796,61584000\n1998-03-19,4.895833,4.906250,4.812500,4.875000,4.336265,38823600\n1998-03-20,4.875000,4.875000,4.739583,4.822917,4.289938,56153200\n1998-03-23,4.791667,5.020833,4.750000,5.010417,4.456717,83642400\n1998-03-24,4.989583,5.104167,4.979167,5.052083,4.493777,86273200\n1998-03-25,5.145833,5.166667,5.062500,5.114583,4.549372,83322400\n1998-03-26,5.062500,5.252600,5.062500,5.250000,4.669824,65593600\n1998-03-27,5.260417,5.291667,5.083333,5.177083,4.604965,45736000\n1998-03-30,5.125000,5.229167,5.104167,5.218750,4.642026,42528000\n1998-03-31,5.218750,5.281250,5.208333,5.260417,4.679090,42608400\n1998-04-01,5.291667,5.312500,5.104167,5.229167,4.651292,51238800\n1998-04-02,5.177083,5.197917,4.979167,5.020833,4.465983,42534400\n1998-04-03,4.854167,4.885417,4.625000,4.687500,4.169483,135210400\n1998-04-06,4.625000,4.656250,4.437500,4.520833,4.021238,75050800\n1998-04-07,4.447917,4.531250,4.375000,4.520833,4.021238,60317200\n1998-04-08,4.500000,4.583333,4.437500,4.510417,4.011970,35712000\n1998-04-09,4.531250,4.541667,4.437500,4.489583,3.993439,27467200\n1998-04-13,4.479167,4.770833,4.427083,4.739583,4.215812,49784400\n1998-04-14,4.708333,4.812500,4.666667,4.750000,4.225079,32473600\n1998-04-15,4.770833,4.781250,4.656250,4.708333,4.188017,26488000\n1998-04-16,4.666667,4.687500,4.541667,4.583333,4.076830,25158400\n1998-04-17,4.541667,4.604167,4.500000,4.541667,4.039767,31988800\n1998-04-20,4.510417,4.635417,4.510417,4.583333,4.076830,36512400\n1998-04-21,4.572917,4.593750,4.520833,4.593750,4.086096,24115200\n1998-04-22,4.562500,4.614583,4.552083,4.583333,4.076830,30638800\n1998-04-23,4.552083,4.562500,4.343750,4.343750,3.863722,54848800\n1998-04-24,4.364583,4.500000,4.354167,4.447917,3.956378,29288400\n1998-04-27,4.343750,4.406250,4.302083,4.385417,3.900785,37526800\n1998-04-28,4.437500,4.500000,4.354167,4.375000,3.891519,41070400\n1998-04-29,4.395833,4.416667,4.302083,4.395833,3.910050,40535200\n1998-04-30,4.468750,4.479167,4.312500,4.312500,3.835926,46720000\n1998-05-01,4.354167,4.364583,4.218750,4.260417,3.789598,52196400\n1998-05-04,4.302083,4.437500,4.270833,4.385417,3.900785,40241200\n1998-05-05,4.312500,4.354167,4.213533,4.302083,3.826662,65786400\n1998-05-06,4.364583,4.414050,4.302083,4.385417,3.900785,43002000\n1998-05-07,4.375000,4.406250,4.322917,4.343750,3.863722,34075200\n1998-05-08,4.333333,4.479167,4.333333,4.479167,3.984174,28894000\n1998-05-11,4.489583,4.500000,4.333333,4.333333,3.854456,27403200\n1998-05-12,4.343750,4.364583,4.250000,4.343750,3.863722,34554000\n1998-05-13,4.333333,4.375000,4.302083,4.333333,3.854456,26074000\n1998-05-14,4.291667,4.427083,4.291667,4.375000,3.891519,31849200\n1998-05-15,4.322917,4.354167,4.270833,4.312500,3.835926,33055600\n1998-05-18,4.270833,4.333333,4.250000,4.281250,3.808129,32785600\n1998-05-19,4.322917,4.354167,4.281250,4.343750,3.863722,27482800\n1998-05-20,4.364583,4.375000,4.166667,4.187500,3.724741,36439200\n1998-05-21,4.218750,4.250000,4.041667,4.104167,3.650616,33985600\n1998-05-22,4.093750,4.104167,3.968750,4.062500,3.613554,31108000\n1998-05-26,4.093750,4.104167,3.979167,4.000000,3.557961,27080400\n1998-05-27,3.916667,4.031250,3.906250,3.979167,3.539430,31188000\n1998-05-28,3.968750,4.104167,3.947917,4.104167,3.650616,28081200\n1998-05-29,4.125000,4.156250,3.927083,3.937500,3.502367,60899200\n1998-06-01,3.927083,4.010417,3.750000,3.802083,3.381916,39799200\n1998-06-02,3.822917,4.093750,3.677083,4.062500,3.613554,83485200\n1998-06-03,4.083333,4.104167,3.916667,3.927083,3.493102,48964000\n1998-06-04,3.979167,4.156250,3.937500,4.135417,3.678412,46338400\n1998-06-05,4.156250,4.416667,4.156250,4.322917,3.845192,61518400\n1998-06-08,4.281250,4.364583,4.270833,4.312500,3.835926,33981600\n1998-06-09,4.312500,4.395833,4.302083,4.343750,3.863722,25986000\n1998-06-10,4.291667,4.343750,4.125000,4.145833,3.687678,35389200\n1998-06-11,4.177083,4.177083,4.010417,4.062500,3.613554,38994400\n1998-06-12,4.041667,4.218750,4.031250,4.177083,3.715475,52746000\n1998-06-15,4.125000,4.250000,4.072917,4.093750,3.641351,29586400\n1998-06-16,4.125000,4.145833,3.979167,4.041667,3.595022,38971600\n1998-06-17,4.104167,4.265617,4.020833,4.052083,3.604289,65968000\n1998-06-18,4.187500,4.239583,4.062500,4.104167,3.650616,112910800\n1998-06-19,4.104167,4.125000,3.989583,4.041667,3.595022,43826800\n1998-06-22,4.020833,4.093750,3.958333,4.031250,3.585757,39698400\n1998-06-23,4.052083,4.166667,4.052083,4.072917,3.622820,33183600\n1998-06-24,4.104167,4.208333,4.031250,4.166667,3.706209,44262400\n1998-06-25,4.197917,4.229167,4.083333,4.114583,3.659882,32257200\n1998-06-26,4.125000,4.135417,4.052083,4.104167,3.650616,15721600\n1998-06-29,4.125000,4.145833,4.031250,4.083333,3.632085,22618000\n1998-06-30,4.041667,4.135417,3.989583,4.093750,3.641351,30382800\n1998-07-01,4.093750,4.093750,4.000000,4.010417,3.567226,37561200\n1998-07-02,3.979167,4.000000,3.791667,3.812500,3.391181,61005600\n1998-07-06,3.854167,3.864583,3.812500,3.843750,3.418978,30358800\n1998-07-07,3.833333,3.843750,3.770833,3.812500,3.391181,25014000\n1998-07-08,3.864583,3.937500,3.802083,3.927083,3.493102,48232800\n1998-07-09,3.958333,4.135417,3.947917,4.072917,3.622820,61574800\n1998-07-10,4.072917,4.187500,3.979167,4.177083,3.715475,41154400\n1998-07-13,4.177083,4.291667,4.177083,4.270833,3.798865,41444800\n1998-07-14,4.270833,4.343750,4.270833,4.333333,3.854456,56885200\n1998-07-15,4.333333,4.562500,4.333333,4.510417,4.011970,74725200\n1998-07-16,4.541667,4.645833,4.510417,4.614583,4.104626,48816400\n1998-07-17,4.625000,4.625000,4.468750,4.513017,4.014285,39223600\n1998-07-20,4.500000,4.687500,4.468750,4.593750,4.086096,50903200\n1998-07-21,4.604167,4.750000,4.583333,4.625000,4.113893,51199200\n1998-07-22,4.500000,4.510417,4.270833,4.322917,3.845192,53298400\n1998-07-23,4.270833,4.281250,4.166667,4.187500,3.724741,31864000\n1998-07-24,4.218750,4.239583,4.000000,4.104167,3.650616,38740800\n1998-07-27,4.052083,4.458333,4.041667,4.447917,3.956378,45499600\n1998-07-28,4.427083,4.510417,4.364583,4.489583,3.993439,45169200\n1998-07-29,4.489583,4.500000,4.395833,4.437500,3.947112,41414800\n1998-07-30,4.479167,4.489583,4.427083,4.447917,3.956378,43102000\n1998-07-31,4.427083,4.541667,4.416667,4.416667,3.928583,37299600\n1998-08-03,4.406250,4.489583,4.343750,4.437500,3.947112,34653600\n1998-08-04,4.531250,4.541667,4.208333,4.250000,3.780334,53546800\n1998-08-05,4.229167,4.270833,4.072917,4.197917,3.734007,36434400\n1998-08-06,4.114583,4.281250,4.093750,4.270833,3.798865,27672400\n1998-08-07,4.281250,4.281250,4.177083,4.187500,3.724741,25819200\n1998-08-10,4.166667,4.218750,4.104167,4.104167,3.650616,19776400\n1998-08-11,4.041667,4.104167,3.968750,4.083333,3.632085,31141600\n1998-08-12,4.083333,4.270833,4.083333,4.218750,3.752536,32503600\n1998-08-13,4.166667,4.239583,4.083333,4.083333,3.632085,25808400\n1998-08-14,4.156250,4.166667,3.885417,3.968750,3.530164,43505200\n1998-08-17,3.968750,4.010417,3.895833,3.968750,3.530164,34530400\n1998-08-18,3.989583,4.031250,3.843750,3.885417,3.456040,50108800\n1998-08-19,3.895833,4.104167,3.895833,4.072917,3.622820,70490800\n1998-08-20,4.041667,4.125000,3.958333,4.093750,3.641351,34464400\n1998-08-21,4.020833,4.177083,3.958333,4.156250,3.696943,47086800\n1998-08-24,4.166667,4.197917,4.010417,4.041667,3.595022,22714800\n1998-08-25,4.104167,4.104167,3.947917,4.020833,3.576491,25384800\n1998-08-26,3.927083,4.062500,3.916667,3.968750,3.530164,19456800\n1998-08-27,3.885417,3.906250,3.750000,3.770833,3.354120,36361600\n1998-08-28,3.781250,3.802083,3.500000,3.552083,3.159543,42436800\n1998-08-31,3.614583,3.666667,3.302083,3.322917,2.955702,61621600\n1998-09-01,3.333333,3.458333,3.031250,3.427083,3.048357,76397200\n1998-09-02,3.468750,3.500000,3.343750,3.385417,3.011295,76332400\n1998-09-03,3.333333,3.447917,3.156250,3.177083,2.825984,57826000\n1998-09-04,3.281250,3.468750,3.250000,3.447917,3.066888,51078000\n1998-09-08,3.645833,3.656250,3.479167,3.604167,3.205870,44079600\n1998-09-09,3.583333,3.770833,3.583333,3.635417,3.233668,35885200\n1998-09-10,3.604167,3.697917,3.479167,3.687500,3.279995,47486800\n1998-09-11,4.104167,4.270833,4.083333,4.250000,3.780334,146108400\n1998-09-14,4.291667,4.427083,4.291667,4.427083,3.937849,60785200\n1998-09-15,4.354167,4.520833,4.281250,4.500000,4.002706,64830400\n1998-09-16,4.489583,4.593750,4.479167,4.541667,4.039767,56800800\n1998-09-17,4.375000,4.510417,4.354167,4.468750,3.974910,53653600\n1998-09-18,4.479167,4.552083,4.437500,4.531250,4.030503,47238400\n1998-09-21,4.416667,4.687500,4.406250,4.635417,4.123157,54644400\n1998-09-22,4.656250,4.802083,4.656250,4.770833,4.243610,52411200\n1998-09-23,4.802083,4.822917,4.645833,4.770833,4.243610,75694000\n1998-09-24,4.687500,4.802083,4.666667,4.729167,4.206548,48895200\n1998-09-25,4.635417,4.833333,4.635417,4.822917,4.289938,46424800\n1998-09-28,4.822917,4.895833,4.687500,4.687500,4.169483,44779200\n1998-09-29,4.687500,4.916667,4.687500,4.843750,4.308467,72210000\n1998-09-30,4.750000,4.916667,4.729167,4.854167,4.317734,58888000\n1998-10-01,4.739583,4.812500,4.479167,4.500000,4.002706,66616800\n1998-10-02,4.364583,4.416667,4.187500,4.333333,3.854456,88020400\n1998-10-05,4.125000,4.166667,3.739583,3.958333,3.520900,104928000\n1998-10-06,4.083333,4.083333,3.843750,3.864583,3.437509,49108000\n1998-10-07,3.843750,4.104167,3.833333,4.062500,3.613554,49443600\n1998-10-08,3.895833,4.041667,3.718750,3.979167,3.539430,63256800\n1998-10-09,4.052083,4.270833,3.885417,4.250000,3.780334,61496400\n1998-10-12,4.281250,4.322917,4.125000,4.135417,3.678412,30629200\n1998-10-13,4.083333,4.270833,4.041667,4.125000,3.669146,26618400\n1998-10-14,4.083333,4.385417,4.083333,4.281250,3.808129,49360800\n1998-10-15,4.250000,4.500000,4.229167,4.458333,3.965643,29899600\n1998-10-16,4.520833,4.572917,4.333333,4.406250,3.919316,40399600\n1998-10-19,4.375000,4.661450,4.354167,4.645833,4.132424,45282400\n1998-10-20,4.666667,4.697917,4.322917,4.364583,3.882254,51039600\n1998-10-21,4.375000,4.562500,4.229167,4.520833,4.021238,39889600\n1998-10-22,4.437500,4.656250,4.395833,4.531250,4.030503,28379200\n1998-10-23,4.500000,4.614583,4.375000,4.515617,4.016596,31597200\n1998-10-26,4.520833,4.666667,4.510417,4.604167,4.095362,44818800\n1998-10-27,4.645833,4.666667,4.510417,4.510417,4.011970,32759200\n1998-10-28,4.500000,4.708333,4.500000,4.692700,4.174110,38326800\n1998-10-29,4.666667,4.812500,4.666667,4.781250,4.252876,39097600\n1998-10-30,4.791667,4.958333,4.791667,4.927083,4.382593,62119600\n1998-11-02,4.927083,5.000000,4.927083,4.989583,4.438187,49954000\n1998-11-03,4.979167,5.000000,4.937500,4.968750,4.419655,44732400\n1998-11-04,5.000000,5.125000,4.958333,5.104167,4.540106,79274800\n1998-11-05,5.000000,5.322917,5.000000,5.302083,4.716151,69805600\n1998-11-06,5.239583,5.333333,5.187500,5.239583,4.660558,52956000\n1998-11-09,5.166667,5.302083,5.041667,5.302083,4.716151,59396400\n1998-11-10,5.250000,5.291667,5.125000,5.250000,4.669824,31307200\n1998-11-11,5.458333,5.666667,5.447917,5.583333,4.966321,113314000\n1998-11-12,5.500000,5.541667,5.479167,5.489583,4.882929,43410400\n1998-11-13,5.489583,5.552083,5.458333,5.531250,4.919993,28083600\n1998-11-16,5.531250,5.583333,5.302083,5.406250,4.808806,42249600\n1998-11-17,5.406250,5.645833,5.343750,5.510417,4.901462,47075200\n1998-11-18,5.531250,5.614583,5.510417,5.593750,4.975585,33895200\n1998-11-19,5.583333,5.625000,5.437500,5.625000,5.003383,44346400\n1998-11-20,5.739583,5.833333,5.625000,5.802083,5.160895,55476400\n1998-11-23,5.833333,6.166667,5.822917,6.145833,5.466659,60821200\n1998-11-24,6.031250,6.104167,5.770833,5.833333,5.188694,47662800\n1998-11-25,5.833333,5.864583,5.697917,5.770833,5.133100,24115600\n1998-11-27,5.781250,5.989583,5.770833,5.979167,5.318412,12776400\n1998-11-30,5.916667,5.937500,5.697917,5.708333,5.077507,33556800\n1998-12-01,5.614583,6.166667,5.614583,6.156250,5.475925,78979600\n1998-12-02,6.093750,6.145833,6.010417,6.052083,5.383269,45706000\n1998-12-03,6.052083,6.093750,5.833333,5.833333,5.188694,41251200\n1998-12-04,5.937500,6.104167,5.916667,6.093750,5.420329,46182400\n1998-12-07,6.125000,6.166667,5.916667,6.104167,5.429596,28266000\n1998-12-08,6.104167,6.125000,5.770833,5.885417,5.235020,39116400\n1998-12-09,5.947917,6.104167,5.822917,6.104167,5.429596,39831600\n1998-12-10,6.104167,6.208333,5.802083,5.822917,5.179426,64810000\n1998-12-11,6.197917,6.304683,6.010417,6.208333,5.522252,124789200\n1998-12-14,6.302083,6.385417,6.177083,6.187500,5.503721,76788400\n1998-12-15,6.343750,6.604167,6.197917,6.593750,5.865076,69344400\n1998-12-16,6.656250,6.656250,6.354167,6.437500,5.726094,57210400\n1998-12-17,6.458333,6.562500,6.416667,6.531250,5.809483,38235600\n1998-12-18,6.500000,6.593750,6.416667,6.552083,5.828013,53547600\n1998-12-21,6.614583,6.656250,6.437500,6.510417,5.790951,48190000\n1998-12-22,6.510417,6.697917,6.416667,6.656250,5.920670,50949600\n1998-12-23,6.760417,7.020833,6.750000,6.947917,6.180104,74973600\n1998-12-24,6.958333,6.979167,6.854167,6.864583,6.105980,10801600\n1998-12-28,6.937500,7.395833,6.864583,7.312500,6.504397,58003200\n1998-12-29,7.375000,7.479167,7.281250,7.416667,6.597052,37177200\n1998-12-30,7.364583,7.479167,7.250000,7.291667,6.485867,33391600\n1998-12-31,7.281250,7.395833,7.166667,7.187500,6.393211,20972400\n1999-01-04,7.270833,7.406250,7.062500,7.166667,6.374679,43098000\n1999-01-05,7.041667,7.395833,6.927083,7.385417,6.569256,67004400\n1999-01-06,7.437500,7.833333,7.385417,7.729167,6.875018,75255600\n1999-01-07,7.541667,7.854167,7.541667,7.604167,6.763831,48528000\n1999-01-08,7.645833,7.739583,7.500000,7.708333,6.856488,50915200\n1999-01-11,7.916667,8.010417,7.791667,7.864583,6.995469,55628400\n1999-01-12,7.979167,8.000000,7.520833,7.656250,6.810159,43664400\n1999-01-13,7.489583,7.791667,7.270833,7.625000,6.782362,63853600\n1999-01-14,7.687500,7.687500,7.291667,7.437500,6.615584,59686000\n1999-01-15,7.541667,7.885417,7.427083,7.854167,6.986204,69376800\n1999-01-19,8.395833,8.677083,8.216133,8.614583,7.662584,95794800\n1999-01-20,8.916667,8.979167,8.479167,8.479167,7.542137,81503200\n1999-01-21,8.458333,8.677083,8.020833,8.114583,7.217844,92054800\n1999-01-22,7.895833,8.677083,7.875000,8.312500,7.393887,61857600\n1999-01-25,8.406250,8.666667,8.291667,8.510417,7.569931,32653200\n1999-01-26,8.638017,8.822917,8.552083,8.812500,7.838632,40450000\n1999-01-27,8.854167,8.947917,8.500000,8.500000,7.560667,54046000\n1999-01-28,8.666667,9.052083,8.656250,8.947917,7.959086,55992000\n1999-01-29,9.083333,9.354167,9.020833,9.229167,8.209252,68132400\n1999-02-01,9.708333,10.062500,9.583333,9.854167,8.765186,88941600\n1999-02-02,10.145833,10.291667,9.520833,9.802083,8.718855,105376800\n1999-02-03,9.854167,10.135417,9.770833,10.125000,9.006085,56942400\n1999-02-04,10.208333,10.229167,9.708333,9.718750,8.644734,49136800\n1999-02-05,9.718750,9.750000,9.260417,9.364583,8.329704,81045600\n1999-02-08,9.541667,9.822917,9.479167,9.562500,8.505753,56399200\n1999-02-09,9.614583,9.645833,8.958333,9.104167,8.098065,52063600\n1999-02-10,9.187500,9.375000,8.739583,8.947917,7.959086,74451600\n1999-02-11,9.072917,9.947917,9.000000,9.927083,8.830042,77552400\n1999-02-12,9.666667,9.750000,9.343750,9.447917,8.403828,65795200\n1999-02-16,9.687500,9.770833,8.781250,8.906250,7.922021,61094400\n1999-02-17,8.812500,9.437500,8.375000,8.541667,7.597730,84750400\n1999-02-18,8.666667,8.781250,8.250000,8.468750,7.532871,94698400\n1999-02-19,8.572917,9.041667,8.479167,9.031250,8.033207,51931200\n1999-02-22,9.156250,9.187500,8.947917,9.093750,8.088801,59874400\n1999-02-23,9.197917,9.770833,9.145833,9.750000,8.672530,60813600\n1999-02-24,9.822917,9.833333,9.260417,9.281250,8.255583,45501600\n1999-02-25,9.250000,9.822917,9.083333,9.666667,8.598407,87832800\n1999-02-26,9.614583,9.614583,9.114583,9.312500,8.283381,55968000\n1999-03-01,9.359375,9.515625,8.953125,9.156250,8.144392,46918400\n1999-03-02,9.296875,9.453125,8.734375,8.828125,7.852531,41852800\n1999-03-03,8.937500,8.984375,8.093750,8.750000,7.783039,67898400\n1999-03-04,8.828125,9.296875,8.781250,9.093750,8.088801,53987600\n1999-03-05,9.359375,9.531250,9.203125,9.359375,8.325075,30049200\n1999-03-08,9.515625,9.671875,9.125000,9.578125,8.519649,79701600\n1999-03-09,9.453125,9.906250,9.375000,9.687500,8.616935,60371200\n1999-03-10,9.906250,9.906250,9.234375,9.484375,8.436256,101269600\n1999-03-11,9.625000,9.625000,8.718750,9.218750,8.199986,96672400\n1999-03-12,7.531250,7.625000,7.000000,7.140625,6.351516,403753600\n1999-03-15,7.351550,7.531250,7.250000,7.500000,6.671176,120536000\n1999-03-16,7.593750,7.625000,7.359375,7.453125,6.629482,80118000\n1999-03-17,7.500000,7.500000,7.265625,7.265625,6.462703,47204000\n1999-03-18,7.296875,7.468750,7.250000,7.421875,6.601685,52340400\n1999-03-19,7.500000,7.500000,6.859375,6.890625,6.129144,112506800\n1999-03-22,7.031250,7.140625,6.781250,6.796875,6.045753,48056800\n1999-03-23,6.796875,6.812500,6.500000,6.515625,5.795586,59231200\n1999-03-24,6.562500,6.578125,6.453125,6.484375,5.767788,57314400\n1999-03-25,6.687500,6.781250,6.531250,6.671875,5.934567,61482800\n1999-03-26,6.734375,7.031250,6.562500,6.875000,6.115245,48299600\n1999-03-29,7.062500,7.140625,6.875000,7.125000,6.337618,46350400\n1999-03-30,7.109375,7.187500,6.718750,6.718750,5.976262,38966400\n1999-03-31,6.937500,7.015625,6.562500,6.593750,5.865076,62015200\n1999-04-01,6.718750,6.750000,6.406250,6.453125,5.739992,73686400\n1999-04-05,6.656250,6.671875,6.250000,6.328125,5.628805,82389200\n1999-04-06,6.343750,6.375000,5.875000,5.921875,5.267450,99907600\n1999-04-07,6.015625,6.062500,5.250000,5.359375,4.767111,194831200\n1999-04-08,5.437500,5.875000,5.359375,5.828125,5.184059,137565600\n1999-04-09,6.156250,6.500000,5.906250,6.468750,5.753890,152150000\n1999-04-12,6.343750,6.625000,6.250000,6.250000,5.559314,90573200\n1999-04-13,6.390625,6.406250,5.859375,5.906250,5.253552,86128000\n1999-04-14,6.109375,6.359375,5.984375,6.031250,5.364737,62267600\n1999-04-15,6.218750,6.406250,6.125000,6.218750,5.531517,62860800\n1999-04-16,6.296875,6.296875,6.109375,6.125000,5.448126,50318000\n1999-04-19,6.234375,6.250000,5.843750,5.843750,5.197959,70212800\n1999-04-20,5.812500,6.031250,5.718750,5.812500,5.170162,89227200\n1999-04-21,5.925775,6.062500,5.812500,6.031250,5.364737,60174000\n1999-04-22,6.218750,6.515625,6.062500,6.453125,5.739992,64498800\n1999-04-23,6.468750,6.921875,6.437500,6.835925,6.080489,71249600\n1999-04-26,6.968750,7.312500,6.937500,7.171875,6.379311,70492400\n1999-04-27,7.281250,7.281250,6.843750,7.015625,6.240328,52992800\n1999-04-28,7.000000,7.062500,6.656250,6.828125,6.073550,40228400\n1999-04-29,6.843750,6.921875,6.687500,6.812500,6.059652,38068800\n1999-04-30,6.937500,7.078125,6.593750,6.765625,6.017958,39295200\n1999-05-03,6.703125,6.703125,6.375000,6.515625,5.795586,77500000\n1999-05-04,6.406250,6.421875,6.218750,6.296875,5.601008,77888800\n1999-05-05,6.281250,6.281250,6.031250,6.250000,5.559314,84511600\n1999-05-06,6.234375,6.343750,6.015625,6.046875,5.378637,56171600\n1999-05-07,6.093750,6.265625,5.910150,6.125000,5.448126,58082000\n1999-05-10,6.156250,6.171875,5.968750,6.093750,5.420329,62537600\n1999-05-11,6.187500,6.484375,6.058575,6.203125,5.517620,83342000\n1999-05-12,6.281250,6.562500,6.031250,6.328125,5.628805,100062800\n1999-05-13,5.968750,6.375000,5.734375,5.750000,5.114568,229328400\n1999-05-14,5.906250,6.156250,5.843750,5.968750,5.309144,159232400\n1999-05-17,6.078125,6.250000,5.953125,6.125000,5.448126,55369200\n1999-05-18,6.218750,6.250000,6.125000,6.203125,5.517620,42034400\n1999-05-19,6.281250,6.625000,6.250000,6.593750,5.865076,68676000\n1999-05-20,6.671875,6.750000,6.328125,6.328125,5.628805,82693200\n1999-05-21,6.312500,6.703125,6.281250,6.437500,5.726094,47640000\n1999-05-24,6.546875,6.609375,6.140625,6.187500,5.503721,51160400\n1999-05-25,6.296875,6.343750,6.000000,6.000000,5.336940,49319600\n1999-05-26,5.906250,6.000000,5.640625,5.859375,5.211857,91702000\n1999-05-27,5.875000,6.046875,5.734375,5.890625,5.239653,51938000\n1999-05-28,5.953125,6.218750,5.921875,6.203125,5.517620,37284800\n1999-06-01,6.234375,6.500000,6.218750,6.375000,5.670500,59201600\n1999-06-02,6.343750,6.562500,6.296875,6.546875,5.823381,52914800\n1999-06-03,6.640625,6.890625,6.625000,6.875000,6.115245,97686000\n1999-06-04,6.937500,7.203125,6.875000,7.171875,6.379311,95625600\n1999-06-07,7.218750,7.250000,7.031250,7.125000,6.337618,54590800\n1999-06-08,7.046875,7.062500,6.687500,6.781250,6.031855,47042400\n1999-06-09,6.812500,6.828125,6.562500,6.671875,5.934567,43354000\n1999-06-10,6.593750,6.609375,6.375000,6.515625,5.795586,50374000\n1999-06-11,6.500000,6.562500,6.250000,6.328125,5.628805,55334800\n1999-06-14,6.406250,6.656250,6.375000,6.609375,5.878975,68968000\n1999-06-15,6.687500,6.890625,6.234375,6.281250,5.587111,114050800\n1999-06-16,8.171875,8.343750,7.812500,8.234375,7.324397,405908000\n1999-06-17,7.937500,8.750000,7.937500,8.718750,7.755242,202552400\n1999-06-18,8.312500,8.984375,8.296875,8.765625,7.796936,124886400\n1999-06-21,8.687500,8.843750,8.515625,8.531250,7.588464,62167600\n1999-06-22,8.343750,8.687500,8.250000,8.531250,7.588464,62997600\n1999-06-23,8.390625,8.796875,8.375000,8.781250,7.810836,75558800\n1999-06-24,8.734375,9.062500,8.734375,8.921875,7.935921,85113600\n1999-06-25,8.968750,9.058575,8.828125,8.937500,7.949819,34084800\n1999-06-28,8.937500,9.187500,8.937500,9.171875,8.158294,43406000\n1999-06-29,9.109375,9.281250,9.031250,9.281250,8.255583,45924000\n1999-06-30,9.187500,9.328125,9.015625,9.281250,8.255583,47386800\n1999-07-01,9.218750,9.500000,9.093750,9.437500,8.394565,48526800\n1999-07-02,9.421875,9.656250,9.390625,9.609375,8.547444,41040800\n1999-07-06,9.562500,9.750000,9.484375,9.671875,8.603035,47408000\n1999-07-07,9.578125,9.703125,9.531250,9.671875,8.603035,43384000\n1999-07-08,9.546875,9.781250,9.531250,9.734375,8.658633,41420800\n1999-07-09,9.750000,9.828125,9.593750,9.828125,8.742019,40340000\n1999-07-12,9.718750,9.765625,9.625000,9.718750,8.644734,42054000\n1999-07-13,9.562500,9.750000,9.562500,9.671875,8.603035,57056800\n1999-07-14,9.703125,9.718750,9.421875,9.515625,8.464055,63491200\n1999-07-15,9.453125,9.796875,9.437500,9.750000,8.672530,66302000\n1999-07-16,9.812500,9.953125,9.781250,9.937500,8.839310,60138000\n1999-07-19,9.906250,9.937500,9.796875,9.875000,8.783714,41648000\n1999-07-20,9.781250,9.781250,9.234375,9.375000,8.338965,57625200\n1999-07-21,9.359375,9.578125,9.296875,9.531250,8.477953,31700400\n1999-07-22,9.484375,9.484375,8.812500,9.062500,8.061006,44054800\n1999-07-23,9.078125,9.203125,8.843750,9.046875,8.047108,27679600\n1999-07-26,8.859375,9.093750,8.703125,8.750000,7.783039,29542000\n1999-07-27,8.890625,9.390625,8.820300,9.265625,8.241685,46239200\n1999-07-28,9.250000,9.546875,9.062500,9.421875,8.380664,33699200\n1999-07-29,9.234375,9.593750,9.203125,9.515625,8.464055,46836800\n1999-07-30,9.484375,9.609375,9.390625,9.515625,8.464055,29497200\n1999-08-02,9.453125,9.750000,9.390625,9.531250,8.477953,32924400\n1999-08-03,9.546875,9.609375,8.984375,9.281250,8.255583,44406800\n1999-08-04,9.218750,9.390625,9.125000,9.187500,8.172193,34460400\n1999-08-05,9.093750,9.390625,8.890625,9.281250,8.255583,42011600\n1999-08-06,9.109375,9.296875,9.093750,9.125000,8.116593,18963200\n1999-08-09,9.109375,9.312500,9.031250,9.093750,8.088801,17804800\n1999-08-10,9.125000,9.125000,8.765625,9.000000,8.005412,24823200\n1999-08-11,9.156250,9.187500,8.875000,9.187500,8.172193,24944400\n1999-08-12,9.093750,9.234375,8.843750,8.875000,7.894225,29526000\n1999-08-13,9.109375,9.703125,9.062500,9.656250,8.589142,48884000\n1999-08-16,9.562500,9.875000,9.390625,9.828125,8.742019,47812800\n1999-08-17,9.859375,9.937500,9.156250,9.328125,8.297276,46906000\n1999-08-18,8.875000,9.000000,8.671875,8.859375,7.880326,104588800\n1999-08-19,8.796875,9.156250,8.765625,9.000000,8.005412,37891200\n1999-08-20,9.078125,9.250000,8.984375,9.250000,8.227786,22706000\n1999-08-23,9.359375,9.421875,9.234375,9.390625,8.352869,26333200\n1999-08-24,9.281250,9.609375,9.187500,9.234375,8.213882,35510400\n1999-08-25,9.281250,9.328125,9.171875,9.234375,8.213882,28866400\n1999-08-26,9.234375,9.500000,9.234375,9.281250,8.255583,28053600\n1999-08-27,9.265625,9.343750,9.015625,9.250000,8.227786,23192400\n1999-08-30,9.234375,9.265625,9.062500,9.125000,8.116593,17385200\n1999-08-31,9.125000,9.140625,8.859375,9.125000,8.116593,24392400\n1999-09-01,9.156250,9.546875,9.140625,9.421875,8.380664,39725600\n1999-09-02,9.312500,9.718750,9.281250,9.609375,8.547444,48401600\n1999-09-03,9.718750,10.406250,9.718750,10.375000,9.228463,102798800\n1999-09-07,10.375000,11.203125,10.304675,10.953125,9.742697,97488400\n1999-09-08,10.843750,11.203125,10.765625,11.078125,9.853882,71019200\n1999-09-09,11.062500,11.125000,10.781250,11.015625,9.798288,51350000\n1999-09-10,11.125000,11.734375,11.062500,11.593750,10.312529,64388000\n1999-09-13,11.609375,11.671875,11.125000,11.437500,10.173543,59682800\n1999-09-14,11.500000,11.609375,10.921875,11.359375,10.104052,80645200\n1999-09-15,10.031250,10.859375,9.968750,10.671875,9.492529,256649600\n1999-09-16,10.671875,10.742175,10.421875,10.546875,9.381341,61758400\n1999-09-17,10.593750,10.937500,10.585925,10.890625,9.687106,64400000\n1999-09-20,10.937500,11.375000,10.843750,11.281250,10.034560,42020800\n1999-09-21,11.203125,11.500000,10.968750,11.125000,9.895579,53644800\n1999-09-22,11.125000,11.437500,10.968750,11.421875,10.159647,38004800\n1999-09-23,11.437500,11.531250,10.750000,10.875000,9.673204,40246000\n1999-09-24,10.750000,10.890625,10.265625,10.546875,9.381341,50765600\n1999-09-27,10.796875,10.906250,10.546875,10.578125,9.409139,41769600\n1999-09-28,10.500000,10.750000,10.296875,10.718750,9.534222,37798400\n1999-09-29,10.687500,11.265625,10.687500,10.828125,9.631512,45801600\n1999-09-30,10.843750,11.468750,10.625000,11.375000,10.117955,58577200\n1999-10-01,11.171875,11.468750,11.109375,11.312500,10.062361,34570800\n1999-10-04,11.359375,11.656250,11.265625,11.625000,10.340323,40801600\n1999-10-05,11.671875,11.718750,11.375000,11.562500,10.284732,46292000\n1999-10-06,11.609375,11.687500,11.421875,11.468750,10.201341,31310000\n1999-10-07,11.296875,11.359375,11.093750,11.171875,9.937273,38359600\n1999-10-08,11.156250,11.406250,10.843750,11.312500,10.062361,28551200\n1999-10-11,11.265625,11.687500,11.234375,11.515625,10.243034,25299600\n1999-10-12,11.484375,11.953125,11.468750,11.750000,10.451510,45535600\n1999-10-13,11.546875,12.031250,11.531250,11.859375,10.548799,57057200\n1999-10-14,11.843750,11.875000,11.531250,11.695300,10.402855,47554400\n1999-10-15,11.578125,11.625000,11.187500,11.250000,10.006766,56845600\n1999-10-18,11.218750,11.265625,10.671875,10.968750,9.756595,47037600\n1999-10-19,11.156250,11.203125,10.765625,10.953125,9.742697,39418800\n1999-10-20,11.109375,11.203125,10.984375,11.187500,9.951171,45197200\n1999-10-21,10.546875,11.437500,10.500000,11.296875,10.048458,55295200\n1999-10-22,11.343750,11.484375,10.890625,11.031250,9.812190,40710400\n1999-10-25,10.906250,11.078125,10.781250,10.828125,9.631512,41902800\n1999-10-26,10.875000,10.968750,10.687500,10.859375,9.659307,42569200\n1999-10-27,10.867175,11.265625,10.812500,11.203125,9.965072,39112800\n1999-10-28,11.328125,11.484375,10.937500,11.468750,10.201341,39646400\n1999-10-29,11.515625,12.187500,11.500000,11.890625,10.576593,53908400\n1999-11-01,12.031250,13.109375,11.968750,12.796875,11.382694,90335200\n1999-11-02,12.843750,13.468750,12.843750,13.250000,11.785744,83764800\n1999-11-03,13.843750,14.437500,13.750000,14.328125,12.744729,87264000\n1999-11-04,14.546875,14.750000,14.406250,14.546875,12.939302,83700800\n1999-11-05,14.937500,15.343750,14.625000,14.671875,13.050488,84155600\n1999-11-08,14.906250,15.171875,14.703125,14.859375,13.217269,54326400\n1999-11-09,14.968750,14.968750,14.437500,14.609375,12.994895,55569200\n1999-11-10,14.546875,15.000000,14.359375,14.718750,13.092187,50972000\n1999-11-11,14.906250,15.718750,14.875000,15.515625,13.800999,47960400\n1999-11-12,15.812500,16.687500,15.437500,16.281250,14.482009,69733600\n1999-11-15,16.359375,16.562500,16.000000,16.015625,14.245741,42568400\n1999-11-16,16.078125,16.359375,16.000000,16.125000,14.343029,58097600\n1999-11-17,17.437500,18.093750,17.156250,17.750000,15.788449,100242400\n1999-11-18,17.937500,18.671875,17.265625,18.546875,16.497272,64814800\n1999-11-19,18.531250,19.546875,18.343750,19.031250,16.928110,60086000\n1999-11-22,18.921875,19.468750,18.718750,19.359375,17.219973,40570400\n1999-11-23,19.468750,19.468750,18.296875,18.375000,16.344385,64967600\n1999-11-24,18.234375,18.234375,17.187500,17.953125,15.969131,73022400\n1999-11-26,17.750000,18.468750,17.703125,18.406250,16.372179,18470000\n1999-11-29,18.203125,18.750000,17.765625,18.140625,16.135906,35636400\n1999-11-30,18.171875,18.187500,16.808575,16.953125,15.079640,63926800\n1999-12-01,17.109375,17.703125,16.875000,17.671875,15.718959,40256400\n1999-12-02,17.734375,19.000000,17.718750,18.984375,16.886414,49338400\n1999-12-03,19.406250,20.453125,19.250000,19.671875,17.497940,74702800\n1999-12-06,19.687500,19.968750,19.390625,19.609375,17.442347,38683200\n1999-12-07,19.578125,20.031250,19.078125,19.812500,17.623026,51888800\n1999-12-08,19.625000,19.750000,18.968750,19.031250,16.928110,42925600\n1999-12-09,19.265625,19.859375,19.250000,19.640625,17.470144,66600400\n1999-12-10,19.875000,21.187500,19.359375,21.156250,18.818277,49635600\n1999-12-13,21.000000,21.015625,19.890625,19.953125,17.748112,60372000\n1999-12-14,20.156250,20.781250,19.093750,19.234375,17.108788,75655200\n1999-12-15,21.312500,22.859375,20.718750,22.593750,20.096916,148169600\n1999-12-16,22.406250,22.656250,21.843750,22.390625,19.916243,59600000\n1999-12-17,23.000000,23.703125,22.566401,22.671875,20.166407,81975200\n1999-12-20,23.593750,24.562500,23.562500,24.078125,21.417263,70350400\n1999-12-21,24.328125,24.843750,23.781250,24.421875,21.723021,60357200\n1999-12-22,24.953125,26.343750,24.750000,26.265625,23.363016,54652800\n1999-12-23,26.437500,27.625000,26.312500,26.671875,23.724369,56016000\n1999-12-27,27.156250,27.171875,25.531250,26.093750,23.210135,38805600\n1999-12-28,26.015625,27.140625,25.500000,26.531250,23.599285,34231600\n1999-12-29,26.421875,27.546875,26.406250,27.500000,24.460979,22750000\n1999-12-30,27.984375,28.234375,27.203125,27.843750,24.766745,27397600\n1999-12-31,27.843750,28.343750,27.703125,28.015625,24.919622,10714800\n2000-01-03,31.156250,31.296875,27.906250,29.531250,26.267759,98114800\n2000-01-04,28.875000,29.656250,26.250000,26.921875,23.946749,116824800\n2000-01-05,25.406250,26.593750,24.000000,25.500000,22.681999,166054000\n2000-01-06,25.039049,26.250000,23.671875,24.000000,21.347761,109880000\n2000-01-07,23.750000,25.875000,23.390625,25.843750,22.987759,91755600\n2000-01-10,27.000000,29.000000,26.375000,28.937500,25.739622,91518000\n2000-01-11,28.156250,28.687500,27.375000,28.093750,24.989111,86585200\n2000-01-12,28.062500,28.062500,25.921875,26.406250,23.488100,83443600\n2000-01-13,27.125000,27.468750,25.875000,26.265625,23.363016,55779200\n2000-01-14,27.250000,27.843750,26.187500,26.703125,23.752163,57078000\n2000-01-18,26.968750,28.625000,26.406250,27.812500,24.738943,66780000\n2000-01-19,28.062500,29.125000,27.000000,28.562500,25.406065,49198400\n2000-01-20,29.500000,30.125000,29.062500,29.625000,26.351145,54526800\n2000-01-21,30.750000,30.750000,29.500000,29.843750,26.545721,50891000\n2000-01-24,30.125000,30.187500,27.000000,27.093750,24.099627,50022400\n2000-01-25,27.531250,28.750000,27.437500,28.218750,25.100300,53059200\n2000-01-26,28.375000,29.468750,27.500000,27.531250,24.488775,47569200\n2000-01-27,27.906250,28.343750,25.000000,25.906250,23.043356,61054000\n2000-01-28,25.750000,25.968750,23.312500,23.687500,21.069799,86394000\n2000-01-31,23.968750,25.062500,23.531250,24.976549,22.216394,68148000\n2000-02-01,25.625000,27.156250,25.000000,27.000000,24.016233,57105600\n2000-02-02,27.468750,28.000000,27.000000,27.156250,24.155216,63933000\n2000-02-03,27.687500,28.500000,27.125000,28.343750,25.211485,55533200\n2000-02-04,28.812500,29.125000,28.406250,28.906250,25.711823,40916000\n2000-02-07,29.656250,30.000000,29.437500,29.968750,26.656906,44691200\n2000-02-08,30.375000,30.718750,29.500000,29.781250,26.490126,55718000\n2000-02-09,30.031250,30.656250,29.406250,29.968750,26.656906,52471600\n2000-02-10,30.000000,31.312500,29.000000,31.156250,27.713177,45288600\n2000-02-11,31.250000,32.375000,29.375000,29.843750,26.545721,55774000\n2000-02-14,30.437500,31.125000,29.312500,31.093750,27.657583,37599800\n2000-02-15,30.812500,31.593750,29.562500,30.687500,27.296230,47971400\n2000-02-16,30.500000,31.281250,30.062500,30.625000,27.240635,33489200\n2000-02-17,30.875000,31.375000,30.000000,30.812500,27.407425,40392600\n2000-02-18,30.843750,31.000000,29.187500,29.281250,26.045383,63888400\n2000-02-22,29.562500,30.718750,28.156250,29.656250,26.378944,75546200\n2000-02-23,30.093750,31.632799,29.812500,31.531250,28.046734,69664400\n2000-02-24,31.593750,32.531250,30.125000,30.968750,27.546400,70963200\n2000-02-25,30.937500,35.500000,30.937500,35.312500,31.410124,103186600\n2000-02-28,35.625000,38.250000,34.125000,34.312500,30.520636,122316600\n2000-02-29,36.687500,37.218750,35.562500,37.125000,33.022331,55586400\n2000-03-01,36.875000,37.250000,35.375000,35.750000,31.799276,44934400\n2000-03-02,36.750000,36.781250,33.937500,34.250000,30.465029,52311000\n2000-03-03,35.562500,37.562500,35.085899,37.500000,33.355862,47974400\n2000-03-06,37.406250,38.468750,36.187500,37.875000,33.689434,45520600\n2000-03-07,38.312500,40.000000,37.187500,37.468750,33.328098,53982200\n2000-03-08,38.687500,41.781250,37.500000,41.562500,36.969437,62781200\n2000-03-09,42.156250,42.500000,40.062500,42.000000,37.358589,56476400\n2000-03-10,42.000000,42.031250,40.125000,40.812500,36.302330,44699800\n2000-03-13,39.250000,41.812500,38.398399,39.375000,35.023670,65803200\n2000-03-14,40.937500,41.875000,38.250000,38.500000,34.245380,72364000\n2000-03-15,42.000000,42.500000,38.500000,39.312500,34.968075,144810400\n2000-03-16,40.343750,41.281250,38.343750,40.968750,36.441299,95532400\n2000-03-17,40.875000,41.000000,39.750000,39.906250,35.496223,66055200\n2000-03-20,40.250000,40.312500,38.781250,39.062500,34.745701,47183600\n2000-03-21,38.937500,40.437500,38.000000,40.343750,35.885372,52621400\n2000-03-22,40.500000,42.187500,39.437500,42.031250,37.386383,53197600\n2000-03-23,41.562500,44.000000,41.281250,43.437500,38.637226,50803800\n2000-03-24,43.406250,44.843750,43.218750,43.500000,38.692818,52821600\n2000-03-27,44.531250,44.656250,43.468750,44.218750,39.332153,32597200\n2000-03-28,43.812500,45.000000,42.750000,43.281250,38.498257,36039200\n2000-03-29,43.031250,43.062500,41.031250,41.250000,36.691471,51966200\n2000-03-30,39.250000,42.250000,39.000000,39.218750,34.884693,70986000\n2000-03-31,40.093750,40.781250,38.000000,39.031250,34.717915,79842000\n2000-04-03,39.312500,40.312500,37.500000,38.437500,34.189777,71598000\n2000-04-04,39.062500,39.062500,32.539051,37.968750,33.772827,123633800\n2000-04-05,36.625000,40.500000,36.273399,39.125000,34.801300,73736800\n2000-04-06,40.312500,41.718750,40.062500,41.093750,36.552486,62408200\n2000-04-07,41.843750,43.625000,41.500000,43.562500,38.748425,46764600\n2000-04-10,43.750000,43.812500,41.125000,41.250000,36.691471,56241200\n2000-04-11,40.093750,40.812500,38.406250,38.687500,34.412140,70983800\n2000-04-12,38.968750,40.000000,36.468750,36.562500,32.521992,67133000\n2000-04-13,37.437500,38.750000,35.875000,35.968750,31.993855,63206800\n2000-04-14,34.960899,35.640598,30.125000,31.250000,27.796566,109951400\n2000-04-17,30.250000,37.437500,30.085899,37.406250,33.272488,115304800\n2000-04-18,37.781250,39.531250,36.875000,39.468750,35.107071,78738800\n2000-04-19,39.312500,39.781250,37.125000,37.281250,33.161301,46184200\n2000-04-20,36.906250,37.750000,34.937500,35.406250,31.493519,50397800\n2000-04-24,33.687500,36.343750,33.500000,36.218750,32.216217,59725600\n2000-04-25,37.437500,38.187500,36.312500,37.781250,33.606045,61764200\n2000-04-26,38.062500,38.906250,35.531250,36.093750,32.105045,47788800\n2000-04-27,35.031250,38.781250,34.968750,38.656250,34.384346,52101000\n2000-04-28,39.250000,40.000000,39.062500,39.968750,35.551811,41696600\n2000-05-01,39.937500,40.937500,39.375000,39.843750,35.440620,37093400\n2000-05-02,39.468750,39.750000,38.687500,38.906250,34.606728,35341000\n2000-05-03,38.437500,38.562500,36.062500,37.906250,33.717239,49603200\n2000-05-04,37.656250,38.468750,36.500000,37.125000,33.022331,39899800\n2000-05-05,37.000000,38.500000,36.875000,38.406250,34.161987,35289600\n2000-05-08,37.656250,38.000000,36.031250,36.156250,32.160625,36528400\n2000-05-09,36.843750,37.125000,35.625000,36.000000,32.021648,43535200\n2000-05-10,35.468750,36.562500,33.750000,33.812500,30.075888,71169800\n2000-05-11,34.468750,36.187500,34.000000,36.187500,32.188431,46590200\n2000-05-12,36.656250,38.218750,36.531250,37.093750,32.994545,39038200\n2000-05-15,37.218750,38.500000,35.312500,38.500000,34.245380,41971800\n2000-05-16,38.812500,39.875000,38.531250,39.593750,35.218258,38261400\n2000-05-17,38.875000,39.937500,38.125000,39.093750,34.773506,33993600\n2000-05-18,39.156250,39.375000,36.218750,36.531250,32.494194,46444600\n2000-05-19,36.000000,37.000000,34.750000,35.031250,31.159950,52228800\n2000-05-22,35.031250,35.125000,31.375000,33.906250,30.159281,91156000\n2000-05-23,33.500000,34.250000,31.187500,31.312500,27.852161,58574000\n2000-05-24,30.882799,32.250000,29.062500,32.125000,28.574875,85195200\n2000-05-25,32.750000,35.406250,32.500000,33.218750,29.547756,80958000\n2000-05-26,33.406250,34.750000,32.531250,33.500000,29.797928,28903800\n2000-05-30,34.437500,37.093750,34.281250,37.093750,32.994545,38933000\n2000-05-31,36.625000,38.218750,35.875000,35.937500,31.966059,50939800\n2000-06-01,36.968750,38.937500,36.750000,38.937500,34.634533,53401000\n2000-06-02,40.250000,40.750000,39.250000,40.093750,35.663002,57964800\n2000-06-05,39.625000,41.000000,39.500000,40.468750,35.996559,38507200\n2000-06-06,40.250000,40.750000,38.125000,38.531250,34.273178,40020000\n2000-06-07,38.375000,40.125000,37.781250,40.000000,35.579617,34080800\n2000-06-08,40.937500,41.375000,40.125000,41.187500,36.635876,46768600\n2000-06-09,41.437500,41.875000,40.937500,41.343750,36.774857,32975200\n2000-06-12,41.281250,41.406250,40.187500,40.281250,35.829773,24206000\n2000-06-13,39.992149,40.875000,39.031250,40.843750,36.330101,37229400\n2000-06-14,40.937500,41.000000,39.375000,39.500000,35.134857,33191800\n2000-06-15,39.625000,41.312500,39.562500,41.250000,36.691471,36786800\n2000-06-16,40.937500,41.875000,40.531250,40.937500,36.413494,41904400\n2000-06-19,41.031250,43.031250,40.625000,43.000000,38.248077,51077200\n2000-06-20,43.468750,43.812500,42.250000,43.023399,38.268883,57192600\n2000-06-21,40.406250,43.687500,40.156250,43.093750,38.331463,108053800\n2000-06-22,42.312500,42.625000,40.687500,40.750000,36.246731,42105600\n2000-06-23,40.406250,40.742149,39.281250,39.750000,35.357239,40643000\n2000-06-26,40.125000,41.718750,39.625000,41.343750,36.774857,38942400\n2000-06-27,41.187500,41.968750,40.843750,41.125000,36.580284,28581600\n2000-06-28,41.031250,42.500000,40.843750,41.468750,36.886051,32104800\n2000-06-29,41.031250,41.562500,39.781250,40.437500,35.968750,35751800\n2000-06-30,40.187500,42.250000,40.000000,42.031250,37.386383,38093000\n2000-07-03,40.562500,40.875000,39.437500,40.093750,35.663002,42136200\n2000-07-05,38.406250,38.812500,36.093750,36.156250,32.160625,94634200\n2000-07-06,35.875000,37.937500,35.875000,37.812500,33.633850,50533000\n2000-07-07,37.968750,38.500000,37.750000,37.937500,33.745026,31480200\n2000-07-10,37.312500,37.750000,36.437500,37.062500,32.966740,43957600\n2000-07-11,36.812500,37.625000,35.562500,36.156250,32.160625,42121400\n2000-07-12,36.718750,37.562500,36.500000,37.343750,33.216896,34368400\n2000-07-13,37.875000,38.312500,37.375000,37.875000,33.689434,41625400\n2000-07-14,38.093750,38.250000,37.562500,38.062500,33.856220,31712000\n2000-07-17,37.656250,39.000000,37.031250,38.062500,33.856220,32388800\n2000-07-18,37.843750,38.312500,37.031250,37.093750,32.994545,29967000\n2000-07-19,37.500000,37.968750,36.500000,36.875000,32.799942,31558600\n2000-07-20,37.406250,39.500000,37.375000,39.062500,34.745701,35382000\n2000-07-21,38.718750,38.843750,37.531250,37.718750,33.550453,30925000\n2000-07-24,38.562500,39.312500,37.468750,37.500000,33.355862,38060200\n2000-07-25,37.937500,38.250000,37.156250,38.000000,33.800629,27118200\n2000-07-26,37.406250,39.000000,37.031250,38.375000,34.134186,31826400\n2000-07-27,37.968750,39.000000,37.500000,37.531250,33.383682,32539000\n2000-07-28,37.562500,38.218750,35.531250,36.187500,32.188431,33203400\n2000-07-31,35.875000,37.750000,35.687500,37.593750,33.439270,34406400\n2000-08-01,37.593750,37.937500,36.437500,36.562500,32.521992,30190800\n2000-08-02,36.500000,37.625000,36.187500,36.562500,32.521992,30315000\n2000-08-03,36.406250,38.750000,35.812500,38.718750,34.439945,44941200\n2000-08-04,39.156250,41.156250,39.062500,40.781250,36.274521,73211600\n2000-08-07,40.437500,41.187500,40.375000,40.937500,36.413494,40751400\n2000-08-08,40.500000,41.625000,40.406250,41.500000,36.913853,34931800\n2000-08-09,41.750000,42.140598,40.593750,40.687500,36.191139,30846000\n2000-08-10,40.718750,41.187500,40.000000,40.031250,35.607403,24436000\n2000-08-11,39.968750,40.968750,39.625000,40.562500,36.079948,22106800\n2000-08-14,40.093750,41.281250,39.937500,41.187500,36.635876,21862200\n2000-08-15,40.968750,41.781250,40.562500,40.625000,36.135544,31208800\n2000-08-16,40.687500,41.125000,40.531250,40.593750,36.107746,22698200\n2000-08-17,40.437500,42.031250,40.406250,41.968750,37.330799,30085000\n2000-08-18,41.750000,42.375000,40.562500,40.656250,36.163345,31121200\n2000-08-21,41.062500,41.687500,40.382801,41.593750,36.997227,20295600\n2000-08-22,41.437500,42.093750,41.093750,41.781250,37.164005,23251600\n2000-08-23,41.468750,41.562500,40.500000,41.437500,36.858265,25104800\n2000-08-24,41.437500,42.531250,41.343750,42.343750,37.664349,40413200\n2000-08-25,42.343750,43.406250,42.250000,42.312500,37.636555,26866600\n2000-08-28,42.500000,43.968750,42.468750,43.375000,38.581642,25833600\n2000-08-29,43.406250,44.632801,43.281250,43.875000,39.026379,37678600\n2000-08-30,43.843750,44.406250,43.562500,44.125000,39.248760,27073400\n2000-08-31,44.218750,45.500000,44.218750,45.468750,40.444004,39840000\n2000-09-01,46.101551,46.468750,45.437500,46.312500,41.194511,30417800\n2000-09-05,46.187500,46.406250,45.281250,45.531250,40.499596,25535800\n2000-09-06,45.687500,45.875000,44.531250,44.625000,39.693497,38473000\n2000-09-07,45.062500,45.875000,44.750000,45.593750,40.555202,28559000\n2000-09-08,45.406250,45.437500,43.250000,43.281250,38.498257,34569400\n2000-09-11,43.031250,43.375000,41.187500,41.718750,37.108418,41459600\n2000-09-12,41.500000,42.656250,39.531250,39.687500,35.301636,49606000\n2000-09-13,38.875000,41.375000,38.468750,40.906250,36.385712,68132400\n2000-09-14,43.187500,43.312500,41.125000,42.468750,37.775547,64170600\n2000-09-15,40.562500,41.437500,39.000000,39.156250,34.829094,122939600\n2000-09-18,39.406250,40.000000,37.375000,38.234348,34.009083,72997800\n2000-09-19,38.718750,39.875000,38.062500,39.656250,35.273842,53198600\n2000-09-20,39.500000,40.312500,38.750000,39.968750,35.551811,37352200\n2000-09-21,39.718750,40.000000,37.750000,39.468750,35.107071,27160000\n2000-09-22,37.968750,40.375000,37.750000,40.367149,35.906170,58729400\n2000-09-25,40.562500,41.281250,39.375000,39.375000,35.023670,34748600\n2000-09-26,39.656250,40.500000,39.312500,39.718750,35.329445,39993400\n2000-09-27,40.093750,40.468750,39.000000,39.937500,35.524014,48205600\n2000-09-28,39.750000,41.093750,39.187500,40.742149,36.239758,42188600\n2000-09-29,40.679649,40.843750,39.125000,39.375000,35.023670,34843000\n2000-10-02,39.875000,41.062500,38.859348,39.375000,35.023670,46136800\n2000-10-03,39.906250,40.804649,34.375000,34.750000,30.909779,96827800\n2000-10-04,33.000000,35.375000,30.250000,34.062500,30.298258,204852000\n2000-10-05,34.156250,34.812500,33.250000,34.156250,30.381655,54316000\n2000-10-06,34.625000,35.812500,33.437500,33.812500,30.075888,53378400\n2000-10-09,33.812500,34.375000,32.562500,33.375000,29.686735,40304000\n2000-10-10,33.031250,33.625000,32.250000,32.312500,28.741648,50948400\n2000-10-11,31.500000,32.992149,31.000000,31.125000,27.685385,71687200\n2000-10-12,31.906250,32.437500,30.875000,31.500000,28.018940,50889400\n2000-10-13,31.000000,35.750000,31.000000,35.625000,31.688086,38514000\n2000-10-16,36.562500,37.000000,33.375000,34.562500,30.743013,36480500\n2000-10-17,35.750000,35.875000,32.875000,33.687500,29.964703,29353900\n2000-10-18,31.562500,35.375000,30.500000,33.562500,29.853519,52547900\n2000-10-19,36.000000,36.500000,34.625000,36.375000,32.355206,39321000\n2000-10-20,36.125000,36.500000,34.937500,35.250000,31.354528,34073400\n2000-10-23,35.187500,35.250000,33.375000,34.062500,30.298258,28316300\n2000-10-24,35.000000,36.562500,34.500000,35.812500,31.854866,36713000\n2000-10-25,36.500000,36.625000,34.000000,34.375000,30.576216,33361600\n2000-10-26,34.750000,35.875000,30.937500,34.062500,30.298258,49986600\n2000-10-27,34.500000,35.187500,33.000000,34.187500,30.409451,34962500\n2000-10-30,33.750000,34.125000,31.375000,31.625000,28.130129,35420300\n2000-10-31,32.625000,34.750000,32.500000,33.000000,29.353170,41881000\n2000-11-01,32.812500,33.187500,30.375000,31.375000,27.907751,62692100\n2000-11-02,32.437500,32.500000,27.250000,29.562500,26.295551,149767500\n2000-11-03,31.500000,31.750000,29.500000,30.312500,26.962673,65017500\n2000-11-06,30.687500,31.000000,27.500000,27.937500,24.850128,75551500\n2000-11-07,28.375000,28.437500,26.500000,26.562500,23.627083,58951000\n2000-11-08,27.375000,27.500000,24.500000,24.812500,22.070478,63040000\n2000-11-09,24.687500,27.375000,24.062500,27.187500,24.183014,67280700\n2000-11-10,26.437500,26.937500,24.875000,25.437500,22.626406,54609400\n2000-11-13,25.125000,25.875000,23.500000,24.750000,22.014885,61652800\n2000-11-14,27.375000,28.500000,26.500000,28.375000,25.239283,77494300\n2000-11-15,28.812500,29.437500,27.703100,28.875000,25.684031,50649700\n2000-11-16,28.750000,29.812500,27.250000,27.375000,24.349798,37986600\n2000-11-17,26.937500,29.250000,25.250000,28.812500,25.628443,59636000\n2000-11-20,24.312500,25.875000,24.000000,24.750000,22.014885,89778400\n2000-11-21,24.812500,25.625000,23.500000,23.875000,21.236578,58647400\n2000-11-22,23.625000,24.062500,22.062500,22.312500,19.846748,53315300\n2000-11-24,23.312500,24.250000,23.125000,24.125000,21.458946,22443900\n2000-11-27,25.437500,25.812500,22.875000,23.125000,20.569464,45665200\n2000-11-28,23.500000,23.812500,22.250000,22.656200,20.152466,43075300\n2000-11-29,23.187500,23.625000,21.812500,22.875000,20.347086,75409600\n2000-11-30,21.750000,27.625000,21.500000,26.500000,23.571487,84386200\n2000-12-01,26.375000,27.875000,25.500000,26.437500,23.515902,48663500\n2000-12-04,26.250000,28.875000,26.187500,28.187500,25.072502,40710400\n2000-12-05,29.437500,31.500000,28.875000,31.500000,28.018940,59754700\n2000-12-06,31.187500,31.625000,29.312500,30.187500,26.851484,42125600\n2000-12-07,29.625000,29.937500,28.125000,28.312500,25.183691,41088300\n2000-12-08,30.062500,30.625000,29.250000,30.062500,26.740299,40052600\n2000-12-11,30.500000,32.250000,30.000000,31.937500,28.408096,50279700\n2000-12-12,31.875000,32.500000,30.406200,30.750000,27.351824,26481200\n2000-12-13,31.937500,32.000000,28.250000,28.375000,25.239283,37933600\n2000-12-14,29.250000,29.937500,27.250000,27.500000,24.460979,45894400\n2000-12-15,29.437500,30.078100,28.187500,28.562500,25.406065,120004000\n2000-12-18,30.000000,32.437500,29.937500,32.000000,28.463690,61640100\n2000-12-19,31.812500,33.125000,30.125000,30.625000,27.240635,58653700\n2000-12-20,28.062500,29.812500,27.500000,28.500000,25.350471,54440500\n2000-12-21,27.812500,30.250000,27.312500,29.500000,26.239960,46719700\n2000-12-22,30.375000,31.984301,30.000000,31.875000,28.352501,35568200\n2000-12-26,31.500000,32.187500,30.000000,30.937500,27.518599,20589500\n2000-12-27,30.375000,31.062500,29.375000,30.687500,27.296230,26437500\n2000-12-28,30.562500,31.625000,30.375000,31.062500,27.629786,25053600\n2000-12-29,30.875000,31.312500,28.687500,29.062500,25.850811,31702200\n2001-01-02,29.562500,29.750000,25.625000,26.375000,23.460304,46281000\n2001-01-03,25.250000,32.125000,25.250000,32.000000,28.463690,76389600\n2001-01-04,31.562500,33.250000,31.000000,32.562500,28.964018,57584400\n2001-01-05,32.500000,32.562500,29.625000,30.125000,26.795893,38415200\n2001-01-08,30.062500,30.250000,27.562500,29.937500,26.629114,40644600\n2001-01-09,30.625000,32.000000,30.250000,31.500000,28.018940,44818600\n2001-01-10,30.500000,33.375000,30.250000,32.750000,29.130808,64627400\n2001-01-11,32.312500,34.093700,32.250000,33.312500,29.631144,50906600\n2001-01-12,33.062500,34.000000,32.000000,32.312500,28.741648,40234100\n2001-01-16,33.062500,33.375000,31.062500,31.812500,28.296913,31198700\n2001-01-17,33.312500,34.062500,32.750000,33.250000,29.575546,52535000\n2001-01-18,33.609299,34.000000,32.812500,33.812500,30.075888,33749200\n2001-01-19,34.125000,35.000000,33.625000,34.562500,30.743013,50227100\n2001-01-22,33.625000,33.625000,31.328100,31.812500,28.296913,57564400\n2001-01-23,31.937500,32.437500,31.312500,31.484301,28.004978,42545700\n2001-01-24,32.000000,32.015598,30.000000,30.062500,26.740299,65596100\n2001-01-25,30.562500,30.750000,29.500000,29.937500,26.629114,60995500\n2001-01-26,29.625000,30.500000,28.750000,30.375000,27.018267,46538900\n2001-01-29,30.187500,31.125000,29.812500,30.437500,27.073856,33397000\n2001-01-30,30.750000,31.500000,30.125000,30.312500,26.962673,42788300\n2001-01-31,30.562500,30.812500,29.062500,29.125000,25.906401,46144400\n2001-02-01,29.250000,30.687500,29.125000,30.062500,26.740299,38389200\n2001-02-02,29.937500,30.062500,27.687500,27.750000,24.683353,38655400\n2001-02-05,27.500000,28.500000,26.500000,27.500000,24.460979,35933100\n2001-02-06,27.375000,28.500000,27.187500,27.625000,24.572166,28746300\n2001-02-07,27.125000,28.375000,26.500000,27.687500,24.627764,42854400\n2001-02-08,28.437500,28.875000,26.687500,27.125000,24.127419,41775000\n2001-02-09,25.250000,25.687500,23.250000,23.562500,20.958612,91625000\n2001-02-12,23.625000,24.000000,22.500000,23.000000,20.458273,51901400\n2001-02-13,23.687500,24.375000,22.500000,22.562500,20.069120,44509700\n2001-02-14,23.250000,25.062500,22.687500,25.000000,22.237257,41247400\n2001-02-15,25.562500,26.625000,25.187500,25.500000,22.681999,46084700\n2001-02-16,24.000000,24.562500,23.187500,24.000000,21.347761,40632200\n2001-02-20,24.375000,24.625000,23.000000,23.125000,20.569464,39873200\n2001-02-21,22.812500,24.250000,22.062500,23.000000,20.458273,57591900\n2001-02-22,23.515600,24.187500,22.437500,23.375000,20.791836,54073600\n2001-02-23,22.875000,23.187500,20.562500,22.000000,19.568779,72859000\n2001-02-26,22.375000,23.250000,21.562500,23.187500,20.625057,44847400\n2001-02-27,22.437500,22.687500,21.562500,21.687500,19.290821,41584600\n2001-02-28,21.875000,22.000000,18.812500,19.000000,16.900314,62362300\n2001-03-01,19.000000,21.500000,18.750000,21.375000,19.012852,76869400\n2001-03-02,16.250000,17.937500,15.750000,16.875000,15.010143,224088800\n2001-03-05,17.312500,17.375000,16.687500,17.000000,15.121334,51544000\n2001-03-06,17.750000,18.000000,17.375000,17.625000,15.677264,57448400\n2001-03-07,18.312500,18.750000,17.812500,18.625000,16.566761,52486500\n2001-03-08,18.390600,18.500000,17.312500,17.500000,15.566077,40342100\n2001-03-09,17.125000,17.187500,16.125000,16.375000,14.565404,58409900\n2001-03-12,16.000000,16.375000,15.062500,15.187500,13.509133,66843000\n2001-03-13,15.937500,17.000000,15.375000,16.937500,15.065742,57981600\n2001-03-14,16.250000,16.750000,15.562500,16.062500,14.287437,52862100\n2001-03-15,16.500000,16.625000,14.500000,14.687500,13.064390,77834800\n2001-03-16,14.187500,14.625000,13.500000,14.062500,12.508455,89327600\n2001-03-19,14.375000,15.687500,14.187500,15.437500,13.731505,50443200\n2001-03-20,15.875000,16.062500,14.312500,14.375000,12.786422,65545100\n2001-03-21,14.750000,16.000000,14.250000,14.750000,13.119980,50574600\n2001-03-22,15.250000,15.625000,14.375000,15.500000,13.787101,63980900\n2001-03-23,16.312500,16.562500,15.671800,15.875000,14.120656,72068300\n2001-03-26,16.320000,16.370001,15.400000,15.440000,13.733728,34392600\n2001-03-27,16.040001,16.500000,15.460000,16.420000,14.605429,43943800\n2001-03-28,16.120001,16.139999,14.580000,15.060000,13.395722,46438000\n2001-03-29,14.610000,15.320000,14.030000,14.330000,12.746394,54250500\n2001-03-30,14.520000,15.290000,14.320000,14.630000,13.013240,36956100\n2001-04-02,15.100000,16.020000,15.010000,15.200000,13.520250,39034400\n2001-04-03,14.630000,15.160000,13.100000,13.160000,11.705689,71558000\n2001-04-04,13.280000,14.050000,13.000000,13.420000,11.936957,49247500\n2001-04-05,14.480000,14.630000,14.000000,14.470000,12.870920,44283900\n2001-04-06,14.330000,14.450000,13.310000,13.550000,12.052594,43585800\n2001-04-09,14.100000,14.200000,13.630000,14.050000,12.497337,28898900\n2001-04-10,14.470000,15.470000,14.250000,14.970000,13.315666,48270800\n2001-04-11,15.600000,15.730000,15.010000,15.530000,13.813782,66768000\n2001-04-12,15.450000,16.000000,15.340000,15.820000,14.071734,46220500\n2001-04-16,16.000000,16.709999,15.600000,15.960000,14.196264,43783600\n2001-04-17,15.470000,16.650000,15.410000,16.219999,14.427530,40606700\n2001-04-18,17.350000,19.200001,17.000000,17.920000,15.939669,95540700\n2001-04-19,19.660000,20.540001,19.320000,20.320000,18.074442,103097600\n2001-04-20,20.590000,20.840000,19.320000,19.750000,17.567429,60473500\n2001-04-23,18.330000,18.500000,16.920000,17.150000,15.254751,61003400\n2001-04-24,16.900000,18.080000,16.719999,16.969999,15.094646,53129800\n2001-04-25,17.110001,17.580000,16.650000,17.250000,15.343704,42959000\n2001-04-26,18.160000,18.250000,16.799999,16.900000,15.032383,45575700\n2001-04-27,17.410000,17.469999,16.670000,17.150000,15.254751,47171900\n2001-04-30,17.770000,17.879999,15.870000,16.160000,14.374161,92948800\n2001-05-01,16.320000,16.360001,15.520000,16.040001,14.267425,64021600\n2001-05-02,16.850000,17.230000,16.000000,17.170000,15.272546,65788100\n2001-05-03,16.820000,17.170000,16.209999,16.450001,14.632113,50568500\n2001-05-04,16.139999,17.200001,15.960000,17.090000,15.201384,48155400\n2001-05-07,17.139999,17.200001,16.510000,16.870001,15.005698,46012500\n2001-05-08,17.250000,17.270000,16.540001,17.040001,15.156910,34351300\n2001-05-09,16.660000,17.549999,16.459999,17.059999,15.174700,41358100\n2001-05-10,17.270000,17.480000,16.379999,16.389999,14.578743,40520200\n2001-05-11,16.379999,16.520000,15.860000,15.900000,14.142898,34225400\n2001-05-14,16.080000,16.490000,16.000000,16.040001,14.267425,27117300\n2001-05-15,16.209999,16.500000,15.680000,15.930000,14.169580,38532000\n2001-05-16,15.720000,16.420000,15.450000,16.400000,14.587640,61700300\n2001-05-17,16.420000,16.790001,15.950000,16.120001,14.338584,44326500\n2001-05-18,16.010000,16.350000,15.880000,16.280001,14.480903,29843000\n2001-05-21,16.270000,18.209999,16.190001,18.100000,16.099775,68843600\n2001-05-22,18.350000,18.520000,17.459999,17.580000,15.637236,61060300\n2001-05-23,17.209999,17.260000,16.750000,16.830000,14.970117,41615300\n2001-05-24,16.860001,17.400000,16.320000,17.299999,15.388177,30695500\n2001-05-25,16.969999,17.150000,16.420000,16.510000,14.685482,27635500\n2001-05-29,16.370001,16.430000,15.440000,15.610000,13.884942,44873200\n2001-05-30,15.360000,16.000000,14.450000,14.510000,12.906503,60895300\n2001-05-31,14.650000,15.890000,14.600000,15.300000,13.609200,77868700\n2001-06-01,15.500000,15.990000,15.260000,15.860000,14.107315,38975400\n2001-06-04,16.530001,16.540001,15.930000,16.059999,14.285213,34347900\n2001-06-05,16.120001,16.959999,16.090000,16.760000,14.907855,37528800\n2001-06-06,16.940001,17.240000,16.799999,17.000000,15.121334,43538700\n2001-06-07,16.860001,17.400000,16.610001,17.330000,15.414864,33703600\n2001-06-08,17.280001,17.500000,16.920000,17.010000,15.130228,21379300\n2001-06-11,17.000000,17.010000,16.020000,16.190001,14.400846,26158600\n2001-06-12,16.010000,16.360001,15.340000,16.139999,14.356373,35267300\n2001-06-13,16.350000,16.450001,15.340000,15.500000,13.787101,34243200\n2001-06-14,15.360000,15.370000,14.700000,14.850000,13.208930,45062500\n2001-06-15,14.750000,15.500000,14.660000,15.000000,13.342353,59629800\n2001-06-18,15.230000,15.300000,14.620000,14.840000,13.200036,51419000\n2001-06-19,17.049999,17.080000,16.440001,16.760000,14.907855,123132300\n2001-06-20,16.520000,17.770000,16.440001,17.520000,15.583868,64848800\n2001-06-21,17.459999,18.040001,17.299999,17.900000,15.921874,42898000\n2001-06-22,17.799999,17.969999,17.350000,17.480000,15.548291,29738200\n2001-06-25,17.650000,18.059999,17.510000,17.770000,15.806239,30607400\n2001-06-26,17.350000,19.000000,17.010000,18.440001,16.402203,58071400\n2001-06-27,18.559999,18.840000,17.700001,18.040001,16.046406,56799800\n2001-06-28,18.389999,19.629999,18.290001,19.180000,17.060417,72499100\n2001-06-29,19.190001,20.020000,17.799999,19.000000,16.900314,60090400\n2001-07-02,19.240000,20.000000,19.070000,19.580000,17.416220,29413600\n2001-07-03,19.389999,20.000000,18.780001,19.770000,17.585220,22039400\n2001-07-05,19.379999,19.910000,18.900000,18.930000,16.838057,29051400\n2001-07-06,18.629999,18.950001,18.040001,18.209999,16.197617,28647000\n2001-07-09,18.180000,19.330000,18.100000,18.910000,16.820263,32770400\n2001-07-10,19.090000,19.459999,17.559999,17.590000,15.646129,37848700\n2001-07-11,17.570000,18.100000,17.459999,18.000000,16.010824,35511200\n2001-07-12,18.930000,19.930000,18.200001,19.660000,17.487371,45614700\n2001-07-13,19.260000,19.900000,19.100000,19.540001,17.380640,31009700\n2001-07-16,19.309999,19.790001,18.510000,18.700001,16.633465,27119500\n2001-07-17,18.520000,19.580000,18.459999,19.500000,17.345060,30114100\n2001-07-18,18.840000,19.410000,18.580000,18.780001,16.704622,27427000\n2001-07-19,19.040001,19.690001,18.570000,19.170000,17.051533,32984700\n2001-07-20,19.020000,19.160000,18.700001,19.070000,16.962576,25359300\n2001-07-23,19.129999,19.299999,18.100000,18.129999,16.126463,25795800\n2001-07-24,18.209999,18.700001,17.879999,18.209999,16.197617,33028800\n2001-07-25,18.389999,19.340000,18.309999,19.260000,17.131584,36470800\n2001-07-26,19.080000,19.549999,18.680000,19.410000,17.265007,36148800\n2001-07-27,19.139999,20.000000,18.750000,19.059999,16.953676,28020000\n2001-07-30,19.070000,19.180000,18.450001,18.670000,16.606781,25210800\n2001-07-31,18.600000,18.959999,18.040001,18.080000,16.081980,43749700\n2001-08-01,18.360001,18.840000,18.100000,18.320000,16.295458,37145400\n2001-08-02,18.670000,18.850000,17.980000,18.309999,16.286568,33431000\n2001-08-03,18.320000,18.340000,17.900000,18.000000,16.010824,28608900\n2001-08-06,17.680000,18.010000,17.309999,17.459999,15.530499,24829900\n2001-08-07,17.400000,17.440001,17.010000,17.240000,15.334808,33877700\n2001-08-08,17.040001,17.600000,16.150000,16.299999,14.498691,47257900\n2001-08-09,16.320000,16.420000,15.850000,15.990000,14.222947,46391600\n2001-08-10,15.780000,15.920000,15.000000,15.160000,13.484674,61738800\n2001-08-13,15.040000,15.910000,14.770000,15.690000,13.956103,47255700\n2001-08-14,15.930000,16.320000,15.460000,15.550000,13.831572,37069400\n2001-08-15,15.610000,15.820000,14.960000,15.010000,13.351249,33463100\n2001-08-16,14.820000,15.350000,14.670000,15.310000,13.618096,38077500\n2001-08-17,14.900000,15.090000,14.630000,14.720000,13.093297,25901300\n2001-08-20,14.700000,14.920000,14.420000,14.810000,13.173353,25332300\n2001-08-21,14.870000,15.250000,14.080000,14.130000,12.568497,28873200\n2001-08-22,14.380000,14.780000,14.020000,14.640000,13.022137,28870500\n2001-08-23,14.520000,15.030000,14.000000,14.010000,12.461758,31620300\n2001-08-24,14.410000,15.290000,14.110000,15.190000,13.511354,33658100\n2001-08-27,15.130000,15.280000,14.750000,14.930000,13.280088,23745200\n2001-08-28,14.940000,15.000000,13.980000,14.010000,12.461758,36618900\n2001-08-29,14.200000,14.210000,13.240000,13.350000,11.874691,43939900\n2001-08-30,13.080000,13.400000,11.820000,12.000000,10.673881,76405600\n2001-08-31,12.100000,12.830000,12.040000,12.210000,10.860674,38723800\n2001-09-04,12.530000,13.030000,12.010000,12.080000,10.745041,45400800\n2001-09-05,12.250000,12.540000,11.620000,12.070000,10.736146,58220600\n2001-09-06,11.820000,12.050000,10.850000,10.920000,9.713232,74982200\n2001-09-07,10.860000,11.310000,10.550000,11.070000,9.846655,48172100\n2001-09-10,10.890000,11.520000,10.850000,11.460000,10.193557,53889500\n2001-09-17,10.290000,11.300000,10.240000,11.010000,9.793285,63861900\n2001-09-18,10.950000,11.630000,10.700000,11.380000,10.122401,77758800\n2001-09-19,11.230000,11.530000,10.260000,11.200000,9.962291,67253400\n2001-09-20,10.790000,11.540000,10.740000,11.310000,10.060135,57281700\n2001-09-21,10.190000,11.150000,10.160000,10.760000,9.570913,80169100\n2001-09-24,11.300000,12.740000,11.250000,12.520000,11.136417,76525500\n2001-09-25,12.660000,13.060000,12.150000,12.250000,10.896253,57355300\n2001-09-26,12.490000,12.540000,11.920000,12.200000,10.851779,39057600\n2001-09-27,11.970000,12.320000,11.770000,12.040000,10.709458,41609600\n2001-09-28,12.170000,12.740000,12.070000,12.580000,11.189787,44276500\n2001-10-01,12.470000,12.700000,12.180000,12.580000,11.189787,30206800\n2001-10-02,12.520000,12.840000,12.340000,12.600000,11.207576,42296100\n2001-10-03,12.370000,14.160000,12.230000,13.660000,12.150435,71058700\n2001-10-04,14.100000,14.590000,13.610000,13.790000,12.266070,57506300\n2001-10-05,13.510000,14.420000,13.370000,14.200000,12.630759,39470600\n2001-10-08,13.810000,14.400000,13.630000,13.900000,12.363915,30967900\n2001-10-09,14.020000,14.050000,13.420000,13.700000,12.186015,28599600\n2001-10-10,13.500000,14.450000,13.380000,14.290000,12.710817,38833200\n2001-10-11,14.530000,15.000000,14.500000,14.970000,13.315666,49702400\n2001-10-12,14.560000,14.950000,14.200000,14.940000,13.288984,41655100\n2001-10-15,14.470000,14.740000,14.210000,14.440000,12.844240,49779400\n2001-10-16,14.550000,14.980000,14.390000,14.940000,13.288984,32793500\n2001-10-17,15.270000,15.350000,13.630000,13.660000,12.150435,54189200\n2001-10-18,13.710000,14.460000,13.590000,14.260000,12.684127,40798900\n2001-10-19,14.080000,14.610000,13.850000,14.540000,12.933187,35524500\n2001-10-22,14.320000,14.990000,14.210000,14.950000,13.297876,24091900\n2001-10-23,15.040000,15.480000,14.800000,15.010000,13.351249,38775600\n2001-10-24,14.670000,15.070000,14.430000,14.660000,13.039927,59223700\n2001-10-25,14.000000,14.100000,13.260000,13.950000,12.408389,82909100\n2001-10-26,13.710000,14.080000,13.400000,13.580000,12.079280,46623900\n2001-10-29,13.420000,13.860000,13.210000,13.400000,11.919167,39469900\n2001-10-30,13.330000,13.820000,13.100000,13.500000,12.008117,39623500\n2001-10-31,13.870000,14.180000,13.470000,13.560000,12.061490,36448300\n2001-11-01,13.590000,14.220000,13.420000,14.170000,12.604078,37005300\n2001-11-02,14.110000,14.550000,13.900000,14.450000,12.853133,30795000\n2001-11-05,14.820000,15.150000,14.600000,14.960000,13.306775,35243400\n2001-11-06,14.680000,15.290000,14.440000,15.220000,13.538042,34708200\n2001-11-07,15.060000,15.940000,15.000000,15.580000,13.858255,44046600\n2001-11-08,15.630000,16.280001,15.220000,15.450000,13.742622,46697600\n2001-11-09,15.370000,15.690000,15.180000,15.380000,13.680359,29770800\n2001-11-12,15.140000,15.530000,14.640000,15.400000,13.698148,27878300\n2001-11-13,15.130000,15.270000,14.280000,14.520000,12.915399,89914000\n2001-11-14,14.830000,15.070000,14.200000,14.920000,13.271194,52842700\n2001-11-15,14.680000,15.250000,14.500000,14.790000,13.155560,41385800\n2001-11-16,14.860000,14.920000,14.370000,14.550000,12.942084,40618100\n2001-11-19,14.820000,15.050000,14.500000,14.870000,13.226722,30458900\n2001-11-20,14.800000,15.180000,14.540000,14.560000,12.950979,40052100\n2001-11-21,14.500000,14.720000,13.970000,14.080000,12.524020,33836400\n2001-11-23,14.140000,14.450000,14.080000,14.410000,12.817554,10846300\n2001-11-26,14.540000,14.790000,14.450000,14.740000,13.111086,32643100\n2001-11-27,14.570000,14.920000,14.230000,14.420000,12.826447,36021500\n2001-11-28,14.320000,14.880000,14.070000,14.120000,12.559601,30083900\n2001-11-29,14.320000,14.500000,14.000000,14.190000,12.621868,36810100\n2001-11-30,14.410000,14.780000,13.680000,14.030000,12.479549,74143100\n2001-12-03,13.820000,14.270000,13.650000,13.700000,12.186015,42093800\n2001-12-04,13.870000,13.900000,13.320000,13.800000,12.274967,47757100\n2001-12-05,14.500000,15.380000,14.450000,15.370000,13.671465,113746800\n2001-12-06,15.610000,16.030001,15.500000,15.900000,14.142898,67014700\n2001-12-07,15.740000,15.950000,15.550000,15.910000,14.151790,42468600\n2001-12-10,15.640000,16.020000,15.250000,15.420000,13.715939,35877600\n2001-12-11,15.710000,15.760000,15.100000,15.110000,13.440196,41071500\n2001-12-12,15.280000,15.450000,14.750000,15.100000,13.431301,44940700\n2001-12-13,14.740000,15.250000,14.390000,14.670000,13.048823,52531500\n2001-12-14,14.650000,14.700000,14.310000,14.570000,12.959872,54346500\n2001-12-17,14.450000,15.000000,14.400000,14.790000,13.155560,32530700\n2001-12-18,15.000000,15.300000,14.910000,15.050000,13.386827,40321500\n2001-12-19,14.810000,15.400000,14.780000,14.920000,13.271194,59069000\n2001-12-20,14.850000,14.910000,14.400000,14.490000,12.888713,44289800\n2001-12-21,14.790000,14.940000,14.350000,14.380000,12.790868,59252900\n2001-12-24,14.410000,14.640000,14.230000,14.340000,12.755289,12753700\n2001-12-26,14.260000,14.700000,14.080000,14.090000,12.532915,26817000\n2001-12-27,14.100000,14.250000,13.870000,13.990000,12.443967,31281100\n2001-12-28,14.060000,14.360000,14.010000,14.060000,12.506234,24629700\n2001-12-31,14.100000,14.230000,13.800000,13.810000,12.283859,29857600\n2002-01-02,13.980000,14.060000,13.800000,13.980000,12.435071,42477900\n2002-01-03,14.150000,15.340000,14.100000,15.290000,13.600307,77498300\n2002-01-04,15.560000,15.890000,15.250000,15.450000,13.742622,42962600\n2002-01-07,15.680000,15.760000,15.270000,15.490000,13.778204,33672400\n2002-01-08,15.400000,16.010000,15.390000,15.750000,14.009470,39963400\n2002-01-09,16.290001,17.250000,16.230000,16.730000,14.881170,104852700\n2002-01-10,16.650000,17.030001,16.360001,16.690001,14.845591,42615900\n2002-01-11,16.690001,16.860001,16.200001,16.270000,14.472008,41520900\n2002-01-14,16.070000,16.680000,16.030001,16.389999,14.578743,36595900\n2002-01-15,16.480000,17.000000,16.400000,16.990000,15.112435,42148200\n2002-01-16,16.650000,17.040001,16.510000,16.580000,14.747750,38500400\n2002-01-17,16.930000,17.500000,16.790001,17.219999,15.317023,49705700\n2002-01-18,16.750000,16.870001,16.440001,16.480000,14.658796,44563400\n2002-01-22,16.680000,16.969999,15.920000,15.940000,14.178473,42317200\n2002-01-23,16.049999,16.950001,15.830000,16.750000,14.898964,45388000\n2002-01-24,17.120001,17.430000,17.030001,17.250000,15.343704,46794400\n2002-01-25,16.969999,17.420000,16.670000,16.690001,14.845591,41197100\n2002-01-28,16.920000,17.139999,16.750000,16.900000,15.032383,27499800\n2002-01-29,16.809999,17.100000,16.290001,16.500000,14.676585,42884700\n2002-01-30,16.469999,16.700001,15.820000,16.620001,14.783325,46967300\n2002-01-31,17.000000,17.330000,16.650000,17.260000,15.352599,52355800\n2002-02-01,16.780001,17.030001,16.330000,16.389999,14.578743,50686200\n2002-02-04,16.440001,16.639999,15.910000,16.120001,14.338584,40447500\n2002-02-05,15.970000,16.260000,15.780000,15.810000,14.062840,40088800\n2002-02-06,16.090000,16.170000,15.650000,16.040001,14.267425,39840500\n2002-02-07,15.900000,16.469999,15.740000,15.920000,14.160685,34368100\n2002-02-08,15.990000,16.250000,15.360000,16.180000,14.391953,35752800\n2002-02-11,16.059999,16.400000,15.930000,16.350000,14.543164,27446200\n2002-02-12,16.180000,16.600000,16.000000,16.180000,14.391953,27703500\n2002-02-13,16.379999,16.410000,16.040001,16.120001,14.338584,24804300\n2002-02-14,16.190001,16.860001,16.080000,16.320000,14.516479,31951400\n2002-02-15,16.370001,16.440001,15.410000,15.490000,13.778204,35977500\n2002-02-19,15.330000,15.600000,14.510000,14.790000,13.155560,46342700\n2002-02-20,15.110000,15.750000,14.950000,15.510000,13.795994,42658600\n2002-02-21,15.520000,15.800000,15.240000,15.260000,13.573620,35673800\n2002-02-22,15.290000,15.690000,14.720000,15.500000,13.787101,31700700\n2002-02-25,15.580000,16.450001,15.520000,16.340000,14.534271,41281500\n2002-02-26,16.330000,16.820000,16.270000,16.530001,14.703275,41557900\n2002-02-27,16.719999,16.889999,15.990000,16.370001,14.560957,40283300\n2002-02-28,16.389999,16.950001,16.379999,16.620001,14.783325,48930600\n2002-03-01,16.660000,16.719999,15.550000,15.990000,14.222947,78055500\n2002-03-04,13.950000,14.050000,12.950000,13.670000,12.159329,208718700\n2002-03-05,13.970000,14.140000,13.670000,13.850000,12.319440,72999800\n2002-03-06,13.800000,14.210000,13.630000,14.140000,12.577394,47536200\n2002-03-07,14.470000,14.530000,13.720000,14.000000,12.452865,38756800\n2002-03-08,14.420000,14.550000,14.100000,14.200000,12.630759,42591600\n2002-03-11,14.150000,14.750000,14.040000,14.500000,12.897607,31683800\n2002-03-12,14.390000,14.630000,14.240000,14.440000,12.844240,30116900\n2002-03-13,14.330000,14.410000,13.860000,13.890000,12.355020,33362500\n2002-03-14,13.960000,14.080000,13.380000,13.440000,11.954747,46463700\n2002-03-15,12.900000,13.030000,12.590000,12.600000,11.207576,121186000\n2002-03-18,12.830000,13.010000,12.470000,12.600000,11.207576,49182600\n2002-03-19,12.740000,13.160000,12.700000,12.810000,11.394370,37202500\n2002-03-20,12.660000,13.050000,12.520000,12.540000,11.154209,35961200\n2002-03-21,12.650000,13.250000,12.440000,13.150000,11.696795,49338700\n2002-03-22,13.260000,13.500000,12.770000,12.850000,11.429949,40552600\n2002-03-25,12.920000,13.000000,12.500000,12.520000,11.136417,30843100\n2002-03-26,12.510000,13.000000,12.460000,12.710000,11.305421,37668400\n2002-03-27,12.730000,12.820000,12.550000,12.630000,11.234262,28081700\n2002-03-28,12.750000,12.890000,12.590000,12.800000,11.385474,24038700\n2002-04-01,12.600000,12.890000,12.500000,12.840000,11.421054,28660500\n2002-04-02,12.570000,12.710000,12.470000,12.530000,11.145312,28503600\n2002-04-03,12.550000,12.720000,12.320000,12.480000,11.100841,29135700\n2002-04-04,12.360000,12.590000,12.040000,12.220000,10.869572,31358700\n2002-04-05,12.340000,12.530000,12.030000,12.130000,10.789515,25132200\n2002-04-08,11.960000,12.370000,11.770000,12.340000,10.976313,29156800\n2002-04-09,12.330000,12.380000,11.830000,11.980000,10.656094,36219100\n2002-04-10,11.920000,12.080000,10.860000,11.550000,10.273612,60553900\n2002-04-11,11.330000,11.440000,10.910000,10.940000,9.731021,41736500\n2002-04-12,11.090000,11.600000,10.920000,11.510000,10.238035,45762600\n2002-04-15,11.610000,11.780000,11.290000,11.300000,10.051239,34398400\n2002-04-16,11.690000,12.280000,11.540000,12.060000,10.727255,29575900\n2002-04-17,12.010000,12.150000,11.680000,11.780000,10.478193,32665700\n2002-04-18,11.850000,12.050000,11.590000,11.650000,10.362561,32099900\n2002-04-19,11.880000,12.100000,11.750000,11.930000,10.611618,26765600\n2002-04-22,11.750000,11.810000,11.330000,11.430000,10.166874,41638100\n2002-04-23,11.440000,11.460000,10.880000,11.120000,9.891130,52599600\n2002-04-24,11.040000,11.130000,10.500000,10.500000,9.339647,57097300\n2002-04-25,10.500000,10.910000,10.450000,10.500000,9.339647,44673800\n2002-04-26,10.690000,10.830000,10.100000,10.130000,9.010536,39596300\n2002-04-29,10.220000,10.450000,10.130000,10.430000,9.277383,42502700\n2002-04-30,10.330000,10.470000,10.000000,10.040000,8.930483,69154400\n2002-05-01,9.930000,10.000000,8.880000,9.450000,8.405684,108231800\n2002-05-02,9.340000,9.510000,8.150000,8.550000,7.605141,127028400\n2002-05-03,8.460000,8.540000,7.840000,8.430000,7.498401,110031900\n2002-05-06,8.250000,8.510000,8.150000,8.220000,7.311610,64023900\n2002-05-07,8.250000,8.440000,7.500000,8.250000,7.338293,100174400\n2002-05-08,8.700000,9.180000,8.520000,9.150000,8.138834,64747900\n2002-05-09,9.040000,9.070000,8.410000,8.480000,7.542877,44338200\n2002-05-10,8.500000,8.630000,8.000000,8.010000,7.124816,51678300\n2002-05-13,8.200000,8.560000,8.080000,8.470000,7.533982,47133400\n2002-05-14,8.910000,9.050000,8.570000,8.810000,7.836409,69514000\n2002-05-15,8.650000,9.720000,8.550000,9.190000,8.174413,84175000\n2002-05-16,9.270000,9.660000,9.190000,9.580000,8.521317,44102600\n2002-05-17,9.770000,10.000000,9.380000,9.560000,8.503523,46574200\n2002-05-20,9.380000,9.450000,8.600000,9.110000,8.103256,36387600\n2002-05-21,9.170000,9.400000,8.740000,8.850000,7.871991,42013800\n2002-05-22,8.720000,8.920000,8.440000,8.800000,7.827513,59710300\n2002-05-23,9.020000,9.410000,8.800000,9.370000,8.334523,43943400\n2002-05-24,9.200000,9.240000,8.790000,8.850000,7.871991,28872400\n2002-05-28,9.050000,9.060000,8.570000,8.940000,7.952040,30326100\n2002-05-29,8.840000,8.940000,8.400000,8.400000,7.471716,37093300\n2002-05-30,8.350000,8.780000,8.250000,8.420000,7.489509,45703700\n2002-05-31,8.480000,8.520000,7.840000,7.920000,7.044763,52579400\n2002-06-03,7.800000,8.190000,7.270000,7.320000,6.511068,86670000\n2002-06-04,7.470000,8.070000,7.250000,7.820000,6.955816,80771800\n2002-06-05,7.870000,8.670000,7.590000,8.660000,7.702984,60986500\n2002-06-06,8.450000,8.490000,8.060000,8.150000,7.249345,59408000\n2002-06-07,7.930000,8.730000,7.870000,8.360000,7.436139,54034000\n2002-06-10,8.420000,8.430000,8.080000,8.140000,7.240451,38192900\n2002-06-11,8.290000,8.480000,7.970000,8.030000,7.142606,39634900\n2002-06-12,7.910000,8.300000,7.730000,8.260000,7.347190,61515800\n2002-06-13,8.200000,8.420000,8.080000,8.260000,7.347190,45476900\n2002-06-14,8.130000,8.600000,7.940000,8.570000,7.622930,45042200\n2002-06-17,8.700000,9.380000,8.670000,9.200000,8.183311,73449200\n2002-06-18,9.040000,9.140000,8.700000,8.980000,7.987624,87006200\n2002-06-19,9.440000,9.520000,8.530000,8.800000,7.827513,111863800\n2002-06-20,8.650000,8.800000,8.370000,8.460000,7.525086,56839400\n2002-06-21,8.290000,8.680000,8.080000,8.120000,7.222661,62786500\n2002-06-24,8.030000,8.770000,7.930000,8.610000,7.658512,59579000\n2002-06-25,8.710000,8.860000,8.320000,8.700000,7.738562,57016100\n2002-06-26,8.200000,9.500000,8.150000,9.170000,8.156626,76641800\n2002-06-27,9.350000,9.700000,9.110000,9.680000,8.610267,80203600\n2002-06-28,9.500000,9.920000,9.350000,9.470000,8.423471,51290300\n2002-07-01,9.300000,9.370000,8.930000,9.000000,8.005412,42506500\n2002-07-02,8.880000,9.000000,8.610000,8.680000,7.720774,48316200\n2002-07-03,8.580000,9.630000,8.540000,9.550000,8.494629,50001600\n2002-07-05,9.800000,10.050000,9.760000,9.980000,8.877112,24017600\n2002-07-08,9.760000,10.080000,9.240000,9.310000,8.281154,47165100\n2002-07-09,9.440000,9.900000,9.340000,9.400000,8.361209,47022800\n2002-07-10,9.530000,9.640000,8.950000,8.980000,7.987624,53667200\n2002-07-11,8.870000,9.530000,8.710000,9.420000,8.378997,73131400\n2002-07-12,9.560000,9.830000,9.420000,9.680000,8.610267,50084300\n2002-07-15,9.480000,10.170000,9.400000,10.150000,9.028326,62672400\n2002-07-16,9.960000,10.480000,9.880000,9.990000,8.886008,79162800\n2002-07-17,10.430000,10.550000,10.000000,10.470000,9.312963,72719600\n2002-07-18,10.280000,10.310000,9.950000,10.050000,8.939380,68437400\n2002-07-19,9.800000,10.060000,9.490000,9.720000,8.645846,59706300\n2002-07-22,9.510000,9.650000,9.170000,9.230000,8.209993,62146800\n2002-07-23,9.360000,9.530000,8.760000,8.800000,7.827513,66680100\n2002-07-24,8.500000,9.470000,8.360000,9.400000,8.361209,70072800\n2002-07-25,9.140000,9.270000,8.760000,9.010000,8.014307,62316200\n2002-07-26,9.010000,9.350000,8.820000,9.330000,8.298947,44375500\n2002-07-29,9.600000,9.750000,9.310000,9.550000,8.494629,49638500\n2002-07-30,9.530000,10.000000,9.440000,9.870000,8.779268,51168000\n2002-07-31,9.720000,10.010000,9.580000,10.010000,8.903798,43451400\n2002-08-01,9.900000,10.040000,9.480000,9.670000,8.601371,47106200\n2002-08-02,9.530000,9.660000,9.050000,9.410000,8.370103,50938500\n2002-08-05,9.300000,9.490000,9.000000,9.010000,8.014307,40423800\n2002-08-06,9.220000,9.620000,9.100000,9.330000,8.298947,51110000\n2002-08-07,9.660000,9.830000,9.200000,9.520000,8.467947,51504200\n2002-08-08,9.490000,10.050000,9.410000,10.010000,8.903798,45828500\n2002-08-09,9.830000,10.330000,9.780000,9.810000,8.725896,48363200\n2002-08-12,9.670000,10.020000,9.640000,9.730000,8.654740,33188100\n2002-08-13,9.620000,9.700000,9.060000,9.090000,8.085467,54342800\n2002-08-14,9.230000,10.090000,9.190000,10.050000,8.939380,54279100\n2002-08-15,10.120000,10.270000,9.850000,10.120000,9.001640,56122100\n2002-08-16,9.920000,10.450000,9.890000,10.390000,9.241802,45686200\n2002-08-19,10.420000,11.140000,10.320000,10.930000,9.722128,56303000\n2002-08-20,10.700000,11.000000,10.540000,10.760000,9.570913,38054800\n2002-08-21,10.950000,11.060000,10.550000,10.760000,9.570913,45105100\n2002-08-22,10.870000,11.200000,10.600000,11.190000,9.953397,42098900\n2002-08-23,11.020000,11.220000,10.580000,10.790000,9.597600,29674700\n2002-08-26,10.770000,10.850000,10.260000,10.570000,9.401912,35549500\n2002-08-27,10.720000,10.820000,10.100000,10.150000,9.028326,36429100\n2002-08-28,10.130000,10.420000,9.850000,9.910000,8.814846,33652200\n2002-08-29,9.790000,10.130000,9.650000,9.960000,8.859322,39768600\n2002-08-30,9.790000,9.920000,9.520000,9.590000,8.530209,34935200\n2002-09-03,9.510000,9.570000,9.000000,9.060000,8.058783,43694600\n2002-09-04,9.180000,9.690000,9.150000,9.600000,8.539107,43514400\n2002-09-05,9.450000,9.470000,9.110000,9.120000,8.112150,44877700\n2002-09-06,9.470000,9.810000,9.410000,9.630000,8.565792,39052400\n2002-09-09,9.620000,9.880000,9.400000,9.780000,8.699216,39399100\n2002-09-10,9.770000,9.970000,9.460000,9.790000,8.708110,40390100\n2002-09-11,9.860000,10.200000,9.770000,9.800000,8.717004,34483500\n2002-09-12,9.690000,9.760000,9.430000,9.480000,8.432367,33143900\n2002-09-13,9.490000,9.860000,9.430000,9.730000,8.654740,36261100\n2002-09-16,9.710000,9.750000,9.050000,9.280000,8.254467,52494500\n2002-09-17,9.400000,9.420000,8.780000,9.030000,8.032095,81486100\n2002-09-18,8.240000,8.540000,7.810000,8.320000,7.400558,122601600\n2002-09-19,8.050000,8.210000,7.950000,8.110000,7.213765,47977300\n2002-09-20,8.180000,8.280000,7.960000,7.990000,7.107028,69838300\n2002-09-23,7.850000,7.960000,7.490000,7.640000,6.795705,54908300\n2002-09-24,7.390000,8.180000,7.300000,8.000000,7.115922,77572000\n2002-09-25,8.120000,8.600000,7.960000,8.590000,7.640721,63782200\n2002-09-26,8.670000,8.720000,8.200000,8.290000,7.373875,58182400\n2002-09-27,8.120000,8.640000,8.090000,8.400000,7.471716,47307400\n2002-09-30,8.160000,8.280000,7.300000,7.860000,6.991393,49137600\n2002-10-01,7.830000,8.580000,7.780000,8.540000,7.596247,54834900\n2002-10-02,8.270000,8.550000,8.190000,8.310000,7.391663,45000700\n2002-10-03,8.230000,8.580000,8.140000,8.330000,7.409452,49005300\n2002-10-04,8.460000,8.580000,8.200000,8.200000,7.293820,45026100\n2002-10-07,8.120000,8.240000,7.650000,7.700000,6.849074,50625700\n2002-10-08,7.830000,8.230000,7.790000,8.070000,7.178186,48688300\n2002-10-09,7.910000,8.250000,7.800000,8.070000,7.178186,55491400\n2002-10-10,8.080000,8.580000,8.020000,8.510000,7.569563,39404700\n2002-10-11,8.610000,9.070000,8.510000,9.050000,8.049888,49019800\n2002-10-14,8.840000,9.300000,8.740000,9.250000,8.227786,32391600\n2002-10-15,9.620000,9.840000,9.350000,9.690000,8.619159,52984900\n2002-10-16,9.220000,9.590000,9.220000,9.320000,8.290048,41261700\n2002-10-17,9.980000,10.080000,9.730000,9.870000,8.779268,52962900\n2002-10-18,9.550000,9.670000,9.230000,9.490000,8.441261,54988200\n2002-10-21,9.370000,9.790000,9.270000,9.640000,8.574686,47599300\n2002-10-22,9.380000,9.950000,9.330000,9.890000,8.797059,46216500\n2002-10-23,9.770000,10.000000,9.640000,9.960000,8.859322,50575400\n2002-10-24,9.980000,10.190000,9.820000,9.860000,8.770370,55952100\n2002-10-25,9.940000,10.310000,9.910000,10.260000,9.126168,45287900\n2002-10-28,10.380000,10.420000,9.950000,10.070000,8.957167,40931700\n2002-10-29,10.010000,10.290000,9.670000,9.960000,8.859322,43315700\n2002-10-30,9.980000,10.120000,9.830000,10.010000,8.903798,50795900\n2002-10-31,9.970000,10.250000,9.800000,10.190000,9.063905,53490400\n2002-11-01,10.040000,10.270000,9.690000,10.130000,9.010536,44318000\n2002-11-04,10.410000,10.480000,9.910000,10.240000,9.108378,61141500\n2002-11-05,10.090000,10.260000,9.990000,10.170000,9.046114,40878800\n2002-11-06,10.310000,10.410000,10.070000,10.360000,9.215117,53095100\n2002-11-07,10.130000,10.240000,10.000000,10.200000,9.072800,41749500\n2002-11-08,10.080000,10.080000,9.540000,9.550000,8.494629,56464000\n2002-11-11,9.210000,9.500000,8.970000,9.050000,8.049888,48740600\n2002-11-12,9.260000,9.760000,9.130000,9.500000,8.450157,52874400\n2002-11-13,9.370000,9.740000,9.360000,9.620000,8.556897,43148800\n2002-11-14,9.810000,10.400000,9.790000,10.350000,9.206223,47581000\n2002-11-15,10.170000,10.780000,10.110000,10.710000,9.526440,57425300\n2002-11-18,10.880000,11.000000,10.250000,10.250000,9.117275,42280500\n2002-11-19,10.240000,10.600000,10.050000,10.370000,9.224017,39188600\n2002-11-20,10.360000,10.780000,10.250000,10.740000,9.553125,48408600\n2002-11-21,10.840000,11.500000,10.820000,11.460000,10.193557,59605500\n2002-11-22,11.070000,11.650000,11.020000,11.580000,10.300299,47514400\n2002-11-25,11.600000,12.000000,11.530000,11.910000,10.593827,45853800\n2002-11-26,11.810000,12.080000,11.550000,11.630000,10.344773,58763800\n2002-11-27,11.900000,12.210000,11.480000,12.000000,10.673881,47671800\n2002-11-29,12.030000,12.250000,11.950000,12.150000,10.807303,16345800\n2002-12-02,12.360000,12.730000,11.820000,11.900000,10.584934,46174700\n2002-12-03,11.820000,11.940000,11.250000,11.370000,10.113503,46235500\n2002-12-04,11.040000,11.350000,10.740000,11.050000,9.828863,45352900\n2002-12-05,11.300000,11.330000,10.650000,10.690000,9.508653,39194600\n2002-12-06,10.540000,11.590000,10.450000,11.280000,10.033448,47974500\n2002-12-09,11.120000,11.290000,10.510000,10.530000,9.366334,41361800\n2002-12-10,10.770000,11.030000,10.630000,10.700000,9.517542,35175200\n2002-12-11,10.700000,11.450000,10.610000,11.300000,10.051239,42332500\n2002-12-12,11.470000,11.550000,11.050000,11.400000,10.140189,31506500\n2002-12-13,11.280000,11.320000,10.630000,10.650000,9.473071,49233800\n2002-12-16,10.950000,11.370000,10.810000,11.300000,10.051239,36217200\n2002-12-17,11.210000,11.480000,10.860000,11.020000,9.802179,38315200\n2002-12-18,10.800000,10.890000,10.410000,10.630000,9.455281,59093700\n2002-12-19,11.060000,11.570000,10.800000,11.000000,9.784389,97046000\n2002-12-20,11.280000,11.370000,10.550000,10.740000,9.553125,70354000\n2002-12-23,10.780000,11.150000,10.620000,11.060000,9.837760,32994600\n2002-12-24,10.900000,11.150000,10.850000,10.990000,9.775497,9088400\n2002-12-26,11.000000,11.230000,10.780000,10.830000,9.633178,19094500\n2002-12-27,10.810000,11.070000,10.750000,10.790000,9.597600,24793900\n2002-12-30,10.870000,11.020000,10.730000,10.940000,9.731021,29686300\n2002-12-31,10.880000,10.970000,10.780000,10.800000,9.606497,26155500\n2003-01-02,10.940000,11.250000,10.800000,11.210000,9.971185,32064900\n2003-01-03,11.190000,11.620000,11.120000,11.560000,10.282507,30879500\n2003-01-06,11.540000,12.110000,11.540000,11.960000,10.638303,45324400\n2003-01-07,11.890000,12.800000,11.760000,12.690000,11.287631,72764800\n2003-01-08,12.570000,12.650000,12.070000,12.120000,10.780618,53623200\n2003-01-09,12.460000,13.180000,12.400000,13.010000,11.572268,71178800\n2003-01-10,12.660000,13.250000,12.490000,13.070000,11.625636,52033600\n2003-01-13,13.300000,13.360000,12.830000,12.930000,11.501109,40588200\n2003-01-14,12.880000,13.200000,12.800000,13.110000,11.661217,39310400\n2003-01-15,13.150000,13.240000,12.460000,12.530000,11.145312,41972100\n2003-01-16,12.510000,12.800000,12.100000,12.170000,10.825096,50428400\n2003-01-17,11.680000,11.740000,11.420000,11.440000,10.175767,55319200\n2003-01-21,11.590000,11.920000,11.470000,11.570000,10.291402,36345400\n2003-01-22,11.590000,12.140000,11.450000,11.620000,10.335875,45273300\n2003-01-23,12.050000,12.590000,11.890000,12.460000,11.083047,46467100\n2003-01-24,12.410000,12.440000,11.670000,11.770000,10.469296,45555000\n2003-01-27,11.800000,12.060000,11.600000,11.930000,10.611618,44095200\n2003-01-28,12.150000,12.160000,11.710000,11.970000,10.647197,36313900\n2003-01-29,11.780000,12.190000,11.550000,12.020000,10.691673,36287500\n2003-01-30,12.080000,12.480000,11.690000,11.750000,10.451510,38272500\n2003-01-31,11.590000,12.180000,11.500000,12.030000,10.700568,48082000\n2003-02-03,12.010000,12.140000,11.890000,12.010000,10.682778,30451300\n2003-02-04,11.850000,12.130000,11.520000,11.730000,10.433721,47845200\n2003-02-05,11.880000,12.040000,11.500000,11.520000,10.246928,41316900\n2003-02-06,11.510000,11.720000,11.330000,11.530000,10.255820,39066500\n2003-02-07,11.740000,11.900000,11.260000,11.340000,10.086818,43943700\n2003-02-10,11.410000,11.800000,11.380000,11.750000,10.451510,33763500\n2003-02-11,11.840000,12.140000,11.720000,11.910000,10.593827,46126300\n2003-02-12,11.820000,11.950000,11.490000,11.500000,10.229136,39650300\n2003-02-13,11.560000,11.690000,11.350000,11.540000,10.264715,34557500\n2003-02-14,11.560000,11.920000,11.350000,11.700000,10.407034,41473100\n2003-02-18,11.900000,12.440000,11.790000,12.420000,11.047471,40391400\n2003-02-19,12.330000,12.370000,12.120000,12.320000,10.958520,34828800\n2003-02-20,12.390000,12.470000,12.230000,12.310000,10.949624,31167700\n2003-02-21,12.180000,12.440000,11.870000,12.390000,11.020787,44233400\n2003-02-24,12.190000,12.450000,11.810000,11.820000,10.513773,45766300\n2003-02-25,11.640000,12.010000,11.480000,11.940000,10.620513,47223800\n2003-02-26,11.910000,12.100000,11.670000,11.720000,10.424827,40775700\n2003-02-27,11.910000,12.090000,11.730000,11.890000,10.576039,36829700\n2003-02-28,11.890000,12.140000,11.830000,11.960000,10.638303,35480000\n2003-03-03,12.200000,12.200000,11.640000,11.690000,10.398142,34375200\n2003-03-04,11.740000,11.860000,11.550000,11.630000,10.344773,37421000\n2003-03-05,11.380000,11.410000,10.990000,11.170000,9.935604,64571400\n2003-03-06,11.180000,11.350000,11.020000,11.160000,9.926711,37140800\n2003-03-07,10.940000,11.300000,10.840000,11.060000,9.837760,44083500\n2003-03-10,10.820000,11.000000,10.670000,10.760000,9.570913,30568300\n2003-03-11,10.810000,10.960000,10.650000,10.680000,9.499754,36460600\n2003-03-12,10.650000,11.060000,10.640000,11.000000,9.784389,41539800\n2003-03-13,11.310000,11.940000,11.190000,11.900000,10.584934,57891600\n2003-03-14,11.890000,12.050000,11.650000,11.940000,10.620513,51565800\n2003-03-17,11.710000,12.450000,11.600000,12.350000,10.985206,56316800\n2003-03-18,12.370000,12.450000,12.060000,12.250000,10.896253,58587300\n2003-03-19,11.650000,11.830000,11.100000,11.310000,10.060135,123560800\n2003-03-20,11.430000,11.600000,11.110000,11.500000,10.229136,55821400\n2003-03-21,11.690000,11.830000,11.270000,11.350000,10.095716,65517600\n2003-03-24,11.140000,11.300000,10.990000,11.030000,9.811075,42180200\n2003-03-25,11.190000,11.490000,11.070000,11.300000,10.051239,41673400\n2003-03-26,11.340000,11.580000,11.250000,11.440000,10.175767,38346100\n2003-03-27,11.300000,11.510000,11.230000,11.360000,10.104609,29790500\n2003-03-28,11.250000,11.390000,11.100000,11.100000,9.873343,27751300\n2003-03-31,10.830000,11.090000,10.820000,10.850000,9.650972,44908800\n2003-04-01,10.880000,10.910000,10.650000,10.760000,9.570913,50467600\n2003-04-02,11.060000,11.560000,10.900000,11.460000,10.193557,48276800\n2003-04-03,11.820000,11.860000,11.540000,11.620000,10.335875,44264100\n2003-04-04,11.660000,11.740000,11.000000,11.370000,10.113503,34937000\n2003-04-07,11.900000,12.510000,11.680000,11.710000,10.415929,45510400\n2003-04-08,11.670000,11.740000,11.480000,11.500000,10.229136,34791300\n2003-04-09,11.620000,11.640000,11.160000,11.170000,9.935604,39120000\n2003-04-10,11.190000,11.450000,11.070000,11.370000,10.113503,31242200\n2003-04-11,11.520000,11.690000,11.200000,11.290000,10.042344,27457400\n2003-04-14,11.330000,11.710000,11.230000,11.660000,10.371456,28588700\n2003-04-15,11.530000,11.750000,11.460000,11.540000,10.264715,33429700\n2003-04-16,11.760000,11.950000,11.560000,11.580000,10.300299,41489400\n2003-04-17,11.550000,12.010000,11.460000,12.000000,10.673881,35670800\n2003-04-21,11.980000,12.190000,11.800000,11.840000,10.531563,29742500\n2003-04-22,11.790000,12.190000,11.700000,12.130000,10.789515,33697200\n2003-04-23,11.930000,12.080000,11.870000,12.000000,10.673881,30255100\n2003-04-24,11.830000,12.090000,11.760000,12.030000,10.700568,31261600\n2003-04-25,11.960000,12.020000,11.770000,11.790000,10.487089,26159300\n2003-04-28,11.800000,12.040000,11.660000,11.970000,10.647197,29737500\n2003-04-29,11.950000,12.200000,11.930000,12.020000,10.691673,31540200\n2003-04-30,11.960000,12.030000,11.810000,11.880000,10.567142,40601500\n2003-05-01,11.850000,11.990000,11.740000,11.920000,10.602724,26984400\n2003-05-02,11.790000,12.240000,11.790000,12.200000,10.851779,35190700\n2003-05-05,12.190000,12.300000,12.060000,12.080000,10.745041,34043100\n2003-05-06,11.980000,12.550000,11.930000,12.410000,11.038571,44153800\n2003-05-07,12.360000,12.550000,12.140000,12.190000,10.842883,45258000\n2003-05-08,12.000000,12.360000,12.000000,12.100000,10.762835,34438600\n2003-05-09,12.240000,12.500000,12.200000,12.420000,11.047471,33759800\n2003-05-12,12.290000,12.530000,12.200000,12.460000,11.083047,33784200\n2003-05-13,12.360000,12.650000,12.320000,12.420000,11.047471,34690400\n2003-05-14,12.600000,12.640000,12.340000,12.530000,11.145312,34511800\n2003-05-15,12.600000,13.010000,12.560000,12.910000,11.483317,45269100\n2003-05-16,12.910000,13.000000,12.470000,12.560000,11.172000,34563400\n2003-05-19,12.450000,12.620000,12.100000,12.170000,10.825096,32926600\n2003-05-20,12.210000,12.280000,12.010000,12.160000,10.816200,33688700\n2003-05-21,12.120000,12.220000,11.970000,12.100000,10.762835,35936400\n2003-05-22,12.130000,12.410000,12.120000,12.300000,10.940730,26953500\n2003-05-23,12.220000,12.300000,12.060000,12.100000,10.762835,25251500\n2003-05-27,12.030000,12.740000,11.980000,12.650000,11.252048,35590200\n2003-05-28,12.810000,13.400000,12.700000,13.260000,11.794641,78128000\n2003-05-29,13.070000,13.280000,12.810000,12.830000,11.412163,50293400\n2003-05-30,12.950000,13.250000,12.890000,13.010000,11.572268,43628800\n2003-06-02,13.210000,13.250000,12.760000,12.800000,11.385474,41425900\n2003-06-03,12.860000,13.160000,12.760000,13.020000,11.581161,33190800\n2003-06-04,13.110000,13.700000,13.000000,13.580000,12.079280,53947300\n2003-06-05,13.400000,13.570000,13.280000,13.360000,11.883589,37461900\n2003-06-06,13.640000,13.950000,12.950000,13.090000,11.643428,102963900\n2003-06-09,13.130000,13.250000,12.710000,12.860000,11.438843,51279400\n2003-06-10,13.050000,13.090000,12.860000,13.020000,11.581161,40820000\n2003-06-11,13.210000,13.420000,13.030000,13.270000,11.803535,41013300\n2003-06-12,13.400000,13.480000,13.100000,13.330000,11.856905,40907500\n2003-06-13,13.920000,14.000000,13.360000,13.480000,11.990325,81322400\n2003-06-16,13.620000,13.900000,13.300000,13.650000,12.141539,31357300\n2003-06-17,13.740000,13.770000,13.280000,13.350000,11.874691,36730100\n2003-06-18,13.290000,13.540000,13.260000,13.420000,11.936957,49885300\n2003-06-19,13.350000,13.510000,13.260000,13.340000,11.865800,39496600\n2003-06-20,13.520000,13.610000,12.860000,12.930000,11.501109,51764300\n2003-06-23,12.950000,13.050000,12.650000,12.770000,11.358789,30410900\n2003-06-24,12.860000,13.010000,12.600000,12.650000,11.252048,30663200\n2003-06-25,12.650000,12.810000,12.350000,12.380000,11.011891,26269000\n2003-06-26,12.520000,12.610000,12.150000,12.520000,11.136417,30859200\n2003-06-27,12.550000,12.690000,12.240000,12.430000,11.056364,29954600\n2003-06-30,12.490000,12.550000,12.000000,12.010000,10.682778,42454900\n2003-07-01,12.040000,12.380000,11.740000,12.330000,10.967413,45514700\n2003-07-02,12.480000,12.750000,12.320000,12.450000,11.074152,40358900\n2003-07-03,12.330000,12.520000,12.120000,12.180000,10.833991,15602700\n2003-07-07,12.360000,12.760000,12.290000,12.570000,11.180889,29498700\n2003-07-08,12.600000,12.880000,12.550000,12.730000,11.323209,43898700\n2003-07-09,12.920000,13.050000,12.600000,12.670000,11.269840,33649900\n2003-07-10,12.510000,12.740000,12.410000,12.600000,11.207576,41053100\n2003-07-11,12.600000,12.880000,12.580000,12.840000,11.421054,30605400\n2003-07-14,12.940000,13.090000,12.530000,12.640000,11.243156,28583900\n2003-07-15,12.850000,12.890000,12.540000,12.630000,11.234262,34859600\n2003-07-16,12.690000,12.710000,12.300000,12.410000,11.038571,30646000\n2003-07-17,12.220000,12.310000,12.030000,12.090000,10.753934,29515500\n2003-07-18,12.100000,12.160000,11.990000,12.080000,10.745041,24285200\n2003-07-21,12.060000,12.110000,11.590000,11.690000,10.398142,36377800\n2003-07-22,11.900000,12.250000,11.820000,12.070000,10.736146,43591000\n2003-07-23,12.190000,12.210000,11.830000,12.100000,10.762835,27594900\n2003-07-24,12.210000,12.360000,11.650000,11.680000,10.389247,42418200\n2003-07-25,11.740000,12.130000,11.600000,12.100000,10.762835,29301700\n2003-07-28,12.170000,12.240000,11.800000,11.880000,10.567142,35409100\n2003-07-29,11.950000,12.060000,11.690000,11.920000,10.602724,30663400\n2003-07-30,12.020000,12.060000,11.810000,11.880000,10.567142,27817400\n2003-07-31,12.080000,12.310000,11.880000,11.990000,10.664987,34629900\n2003-08-01,11.900000,11.990000,11.730000,11.820000,10.513773,29348000\n2003-08-04,11.880000,12.000000,11.670000,11.860000,10.549355,27503500\n2003-08-05,11.820000,11.960000,11.620000,11.640000,10.353663,30777600\n2003-08-06,11.560000,11.640000,11.430000,11.450000,10.184662,44154700\n2003-08-07,11.460000,11.530000,11.180000,11.390000,10.131290,30669300\n2003-08-08,11.490000,11.510000,11.170000,11.290000,10.042344,25653500\n2003-08-11,11.780000,11.900000,11.600000,11.680000,10.389247,51264000\n2003-08-12,11.860000,12.160000,11.810000,12.160000,10.816200,48958700\n2003-08-13,12.390000,12.390000,11.800000,11.900000,10.584934,68194900\n2003-08-14,11.980000,12.200000,11.880000,12.120000,10.780618,29768000\n2003-08-15,12.090000,12.140000,11.960000,12.080000,10.745041,12464200\n2003-08-18,12.160000,12.200000,12.090000,12.180000,10.833991,28071100\n2003-08-19,12.290000,12.320000,11.980000,12.150000,10.807303,40467800\n2003-08-20,12.050000,12.160000,11.960000,12.120000,10.780618,23000600\n2003-08-21,12.230000,12.320000,12.050000,12.160000,10.816200,36844900\n2003-08-22,12.240000,12.500000,12.150000,12.300000,10.940730,45221100\n2003-08-25,12.230000,12.410000,12.190000,12.370000,11.002991,30133800\n2003-08-26,12.270000,12.520000,12.030000,12.440000,11.065258,49911800\n2003-08-27,12.360000,12.570000,12.310000,12.450000,11.074152,38240700\n2003-08-28,12.500000,12.800000,12.480000,12.770000,11.358789,37764900\n2003-08-29,12.710000,12.890000,12.640000,12.830000,11.412163,33163800\n2003-09-02,12.960000,13.450000,12.940000,13.390000,11.910271,86313000\n2003-09-03,13.730000,14.030000,13.580000,13.760000,12.239388,100807000\n2003-09-04,13.650000,13.780000,13.510000,13.720000,12.203808,41802700\n2003-09-05,13.400000,13.510000,13.000000,13.080000,11.634531,77735500\n2003-09-08,13.250000,13.540000,13.230000,13.480000,11.990325,58859800\n2003-09-09,13.430000,13.480000,13.260000,13.360000,11.883589,39313700\n2003-09-10,13.150000,13.370000,12.790000,12.850000,11.429949,48143700\n2003-09-11,13.030000,13.180000,12.860000,12.980000,11.545584,55297300\n2003-09-12,12.140000,12.600000,12.050000,12.550000,11.163103,125872200\n2003-09-15,12.560000,12.640000,12.380000,12.450000,11.074152,44944600\n2003-09-16,12.470000,12.560000,12.410000,12.530000,11.145312,42621000\n2003-09-17,12.510000,12.540000,12.220000,12.280000,10.922938,48337000\n2003-09-18,12.270000,12.410000,12.140000,12.360000,10.994098,53130900\n2003-09-19,12.320000,12.350000,12.070000,12.120000,10.780618,56562500\n2003-09-22,12.020000,12.080000,11.870000,11.970000,10.647197,48600400\n2003-09-23,12.070000,12.130000,11.970000,12.030000,10.700568,41884000\n2003-09-24,12.030000,12.090000,11.600000,11.600000,10.318087,73146100\n2003-09-25,11.670000,11.930000,11.530000,11.560000,10.282507,41716800\n2003-09-26,11.650000,11.710000,11.390000,11.410000,10.149080,45417900\n2003-09-29,11.550000,11.640000,11.360000,11.640000,10.353663,41382800\n2003-09-30,11.500000,11.520000,11.210000,11.250000,10.006766,54694100\n2003-10-01,11.380000,11.730000,11.350000,11.690000,10.398142,47601100\n2003-10-02,11.570000,11.630000,11.370000,11.400000,10.140189,53302900\n2003-10-03,11.860000,12.090000,11.710000,11.980000,10.656094,76447800\n2003-10-06,12.070000,12.300000,12.040000,12.190000,10.842883,36214900\n2003-10-07,12.050000,12.260000,11.960000,12.200000,10.851779,45506900\n2003-10-08,12.530000,12.750000,12.380000,12.630000,11.234262,71375900\n2003-10-09,12.750000,12.890000,12.310000,12.330000,10.967413,63201300\n2003-10-10,12.450000,12.510000,12.290000,12.330000,10.967413,38087200\n2003-10-13,12.390000,12.490000,12.210000,12.280000,10.922938,45863300\n2003-10-14,12.250000,12.400000,12.160000,12.330000,10.967413,32292100\n2003-10-15,12.460000,12.500000,12.030000,12.120000,10.780618,44173200\n2003-10-16,12.100000,12.160000,11.860000,11.970000,10.647197,60555300\n2003-10-17,11.910000,12.010000,11.680000,11.720000,10.424827,49571700\n2003-10-20,11.780000,11.970000,11.760000,11.910000,10.593827,34152800\n2003-10-21,12.030000,12.100000,11.920000,11.980000,10.656094,33965400\n2003-10-22,11.840000,11.960000,11.700000,11.720000,10.424827,30664800\n2003-10-23,11.660000,11.870000,11.600000,11.750000,10.451510,29827900\n2003-10-24,11.600000,11.780000,11.520000,11.730000,10.433721,40662500\n2003-10-27,11.800000,11.890000,11.610000,11.700000,10.407034,27969800\n2003-10-28,11.720000,12.000000,11.550000,11.980000,10.656094,44104200\n2003-10-29,11.930000,12.080000,11.760000,11.890000,10.576039,40955000\n2003-10-30,12.090000,12.290000,11.920000,12.190000,10.842883,53247200\n2003-10-31,12.120000,12.280000,11.960000,11.970000,10.647197,32516500\n2003-11-03,12.060000,12.320000,12.020000,12.190000,10.842883,35722600\n2003-11-04,12.070000,12.480000,12.040000,12.210000,10.860674,42082700\n2003-11-05,12.330000,12.480000,12.190000,12.350000,10.985206,36371900\n2003-11-06,12.530000,12.720000,12.200000,12.700000,11.296529,76866900\n2003-11-07,12.790000,12.880000,12.430000,12.460000,11.083047,50302100\n2003-11-10,12.410000,12.750000,12.350000,12.570000,11.180889,44400800\n2003-11-11,12.690000,12.740000,12.400000,12.540000,11.154209,34508000\n2003-11-12,12.560000,12.850000,12.540000,12.770000,11.358789,38815500\n2003-11-13,12.630000,12.720000,12.460000,12.570000,11.180889,34809000\n2003-11-14,12.570000,12.670000,12.270000,12.290000,10.931831,36909100\n2003-11-17,12.240000,12.250000,11.980000,12.090000,10.753934,34247700\n2003-11-18,12.190000,12.240000,11.780000,11.810000,10.504880,42238700\n2003-11-19,11.850000,12.130000,11.790000,12.030000,10.700568,37597900\n2003-11-20,11.920000,12.140000,11.770000,11.820000,10.513773,41329600\n2003-11-21,11.920000,12.000000,11.750000,11.880000,10.567142,31832800\n2003-11-24,12.050000,12.100000,11.920000,12.050000,10.718357,43397800\n2003-11-25,12.070000,12.080000,11.860000,11.870000,10.558247,40057100\n2003-11-26,12.000000,12.050000,11.860000,12.040000,10.709458,30882000\n2003-11-28,12.020000,12.060000,11.980000,12.020000,10.691673,8159500\n2003-12-01,12.170000,12.570000,12.160000,12.510000,11.127522,50681500\n2003-12-02,12.490000,12.690000,12.350000,12.400000,11.029679,47466000\n2003-12-03,12.710000,13.100000,12.650000,12.900000,11.474422,89509200\n2003-12-04,12.950000,13.060000,12.820000,12.990000,11.554479,56952500\n2003-12-05,12.860000,12.990000,12.710000,12.740000,11.332106,39383800\n2003-12-08,12.690000,12.930000,12.640000,12.810000,11.394370,32397300\n2003-12-09,12.920000,12.970000,12.510000,12.610000,11.216468,40658700\n2003-12-10,12.610000,12.800000,12.600000,12.780000,11.367684,41922500\n2003-12-11,12.740000,12.900000,12.720000,12.830000,11.412163,39950200\n2003-12-12,12.880000,12.900000,12.690000,12.830000,11.412163,37379900\n2003-12-15,13.070000,13.080000,12.650000,12.700000,11.296529,82537400\n2003-12-16,12.980000,13.230000,12.750000,13.120000,11.670113,95028600\n2003-12-17,13.080000,13.260000,13.050000,13.250000,11.785744,46581000\n2003-12-18,13.220000,13.430000,13.200000,13.330000,11.856905,48645300\n2003-12-19,13.340000,13.430000,12.980000,13.090000,11.643428,52988700\n2003-12-22,12.970000,13.210000,12.920000,13.200000,11.741268,37429800\n2003-12-23,13.240000,13.240000,12.980000,13.050000,11.607845,27584700\n2003-12-24,12.990000,13.130000,12.950000,12.970000,11.536691,15177900\n2003-12-26,12.980000,13.060000,12.950000,13.000000,11.563371,9305200\n2003-12-29,12.990000,13.210000,12.960000,13.180000,11.723480,24670600\n2003-12-30,13.180000,13.230000,13.050000,13.190000,11.732375,21820800\n2003-12-31,13.170000,13.240000,13.050000,13.230000,11.767954,24268300\n2004-01-02,13.250000,13.310000,13.110000,13.140000,11.687901,20730800\n2004-01-05,13.280000,13.560000,13.260000,13.550000,12.052594,35329600\n2004-01-06,13.520000,13.710000,13.400000,13.600000,12.097069,40106000\n2004-01-07,13.670000,13.990000,13.590000,13.970000,12.426177,45151100\n2004-01-08,13.990000,14.380000,13.750000,14.240000,12.666341,70741300\n2004-01-09,14.070000,14.360000,14.000000,14.170000,12.604078,41121800\n2004-01-12,14.280000,15.510000,14.240000,14.660000,13.039927,62729400\n2004-01-13,14.440000,14.480000,14.040000,14.360000,12.773076,78363800\n2004-01-14,14.480000,14.670000,14.390000,14.590000,12.977662,30545500\n2004-01-15,14.440000,14.980000,14.440000,14.890000,13.244508,50439200\n2004-01-16,14.990000,15.030000,14.670000,14.850000,13.208930,46809800\n2004-01-20,14.910000,14.970000,14.560000,14.710000,13.084402,40751300\n2004-01-21,14.630000,14.920000,14.510000,14.710000,13.084402,36834500\n2004-01-22,14.790000,14.910000,14.420000,14.530000,12.924294,34476800\n2004-01-23,14.550000,14.670000,14.350000,14.540000,12.933187,28790500\n2004-01-26,14.460000,14.540000,14.280000,14.470000,12.870920,33787100\n2004-01-27,14.420000,14.680000,14.180000,14.200000,12.630759,32503900\n2004-01-28,14.310000,14.400000,13.860000,13.940000,12.399492,44593900\n2004-01-29,14.050000,14.220000,13.730000,14.190000,12.621868,50196100\n2004-01-30,14.110000,14.300000,13.780000,13.860000,12.328335,45136500\n2004-02-02,13.760000,13.900000,13.510000,13.640000,12.132647,42162300\n2004-02-03,13.570000,13.990000,13.520000,13.910000,12.372808,32484300\n2004-02-04,13.190000,13.690000,13.120000,13.270000,11.803535,47107800\n2004-02-05,13.440000,13.770000,13.320000,13.560000,12.061490,39729800\n2004-02-06,13.580000,13.760000,13.360000,13.420000,11.936957,41298900\n2004-02-09,13.540000,13.630000,13.250000,13.280000,11.812428,33219100\n2004-02-10,13.270000,13.530000,13.260000,13.390000,11.910271,30386400\n2004-02-11,13.530000,13.790000,13.330000,13.700000,12.186015,38713100\n2004-02-12,13.620000,13.850000,13.510000,13.720000,12.203808,27981100\n2004-02-13,13.780000,14.100000,13.660000,13.790000,12.266070,41834100\n2004-02-17,13.910000,13.980000,13.730000,13.760000,12.239388,21836800\n2004-02-18,13.880000,14.160000,13.710000,14.060000,12.506234,38796400\n2004-02-19,14.180000,14.210000,13.770000,13.800000,12.274967,29936900\n2004-02-20,13.960000,13.970000,13.540000,13.710000,12.194913,27880000\n2004-02-23,13.680000,13.720000,13.220000,13.340000,11.865800,30737700\n2004-02-24,13.280000,13.360000,13.040000,13.260000,11.794641,56492900\n2004-02-25,13.290000,13.340000,13.080000,13.190000,11.732375,35990900\n2004-02-26,13.100000,13.500000,12.860000,13.280000,11.812428,45428900\n2004-02-27,13.300000,13.370000,12.860000,12.870000,11.447742,44508600\n2004-03-01,13.110000,13.170000,12.880000,13.080000,11.634531,46943200\n2004-03-02,13.130000,13.280000,12.950000,12.980000,11.545584,39962100\n2004-03-03,12.910000,13.140000,12.890000,13.010000,11.572268,29869200\n2004-03-04,12.920000,13.100000,12.890000,13.000000,11.563371,32745100\n2004-03-05,12.870000,13.100000,12.710000,12.710000,11.305421,59897400\n2004-03-08,12.860000,12.880000,12.320000,12.360000,10.994098,59836100\n2004-03-09,12.350000,12.480000,12.130000,12.310000,10.949624,59151200\n2004-03-10,12.400000,12.620000,12.310000,12.410000,11.038571,73298000\n2004-03-11,12.340000,12.600000,12.170000,12.250000,10.896253,88238400\n2004-03-12,12.490000,12.500000,11.950000,12.060000,10.727255,109858800\n2004-03-15,12.030000,12.050000,11.580000,11.660000,10.371456,71864700\n2004-03-16,11.790000,11.890000,11.370000,11.700000,10.407034,84172400\n2004-03-17,11.850000,11.930000,11.680000,11.850000,10.540460,59616200\n2004-03-18,11.800000,11.830000,11.560000,11.610000,10.326982,59118700\n2004-03-19,11.600000,11.780000,11.490000,11.500000,10.229136,47572800\n2004-03-22,11.380000,11.450000,11.150000,11.340000,10.086818,54723000\n2004-03-23,11.450000,11.630000,11.300000,11.400000,10.140189,62015900\n2004-03-24,11.480000,11.690000,11.300000,11.530000,10.255820,43124500\n2004-03-25,11.650000,12.030000,11.630000,11.940000,10.620513,61981700\n2004-03-26,11.930000,12.150000,11.900000,11.920000,10.602724,47907200\n2004-03-29,12.040000,12.120000,11.960000,12.080000,10.745041,39093100\n2004-03-30,11.970000,12.130000,11.840000,12.080000,10.745041,49915300\n2004-03-31,12.100000,12.160000,11.950000,12.000000,10.673881,48584200\n2004-04-01,11.990000,12.360000,11.960000,12.290000,10.931831,60501700\n2004-04-02,12.620000,12.650000,12.400000,12.580000,11.189787,48908400\n2004-04-05,12.600000,12.860000,12.550000,12.770000,11.358789,48809700\n2004-04-06,12.650000,12.740000,12.420000,12.460000,11.083047,36671400\n2004-04-07,12.430000,12.460000,12.220000,12.350000,10.985206,45873800\n2004-04-08,12.540000,12.580000,12.300000,12.380000,11.011891,25128300\n2004-04-12,12.340000,12.570000,12.320000,12.410000,11.038571,37987000\n2004-04-13,12.430000,12.450000,12.230000,12.310000,10.949624,34207400\n2004-04-14,12.220000,12.470000,12.210000,12.370000,11.002991,40484800\n2004-04-15,12.420000,12.420000,11.980000,12.080000,10.745041,41139700\n2004-04-16,12.170000,12.220000,11.910000,11.990000,10.664987,37456900\n2004-04-19,12.050000,12.320000,11.970000,12.320000,10.958520,39837500\n2004-04-20,12.290000,12.430000,11.990000,12.000000,10.673881,46891200\n2004-04-21,11.990000,12.150000,11.870000,12.070000,10.736146,39061300\n2004-04-22,11.980000,12.500000,11.950000,12.370000,11.002991,47915400\n2004-04-23,12.470000,12.580000,12.350000,12.530000,11.145312,38928500\n2004-04-26,12.480000,12.560000,12.200000,12.310000,10.949624,35321200\n2004-04-27,12.270000,12.400000,12.100000,12.150000,10.807303,38910400\n2004-04-28,12.080000,12.220000,11.770000,11.900000,10.584934,38196000\n2004-04-29,11.870000,11.890000,11.340000,11.430000,10.166874,86524700\n2004-04-30,11.500000,11.550000,11.220000,11.250000,10.006766,61729600\n2004-05-03,11.360000,11.520000,11.200000,11.330000,10.077927,47395000\n2004-05-04,11.260000,11.530000,11.170000,11.350000,10.095716,66183600\n2004-05-05,11.380000,11.600000,11.350000,11.350000,10.095716,29772000\n2004-05-06,11.260000,11.700000,11.250000,11.490000,10.220240,44245700\n2004-05-07,11.470000,11.680000,11.400000,11.400000,10.140189,39423200\n2004-05-10,11.260000,11.450000,11.260000,11.400000,10.140189,36486800\n2004-05-11,11.510000,11.670000,11.430000,11.670000,10.380351,36158300\n2004-05-12,11.550000,11.660000,11.350000,11.590000,10.309194,42703600\n2004-05-13,11.520000,11.850000,11.500000,11.800000,10.495983,34109400\n2004-05-14,11.740000,11.780000,11.460000,11.600000,10.318087,33566500\n2004-05-17,11.400000,11.500000,11.300000,11.360000,10.104609,49025700\n2004-05-18,11.430000,11.530000,11.370000,11.370000,10.113503,26005300\n2004-05-19,11.480000,11.590000,11.290000,11.290000,10.042344,39327800\n2004-05-20,11.380000,11.380000,11.150000,11.230000,9.988976,35553700\n2004-05-21,11.320000,11.390000,11.180000,11.230000,9.988976,38074300\n2004-05-24,11.320000,11.430000,11.280000,11.360000,10.104609,30700600\n2004-05-25,11.310000,11.520000,11.180000,11.500000,10.229136,44651300\n2004-05-26,11.450000,11.500000,11.280000,11.480000,10.211349,32837400\n2004-05-27,11.490000,11.620000,11.370000,11.480000,10.211349,40369500\n2004-05-28,11.420000,11.490000,11.320000,11.400000,10.140189,30497100\n2004-06-01,11.240000,11.310000,11.050000,11.120000,9.891130,42016100\n2004-06-02,11.220000,11.260000,11.080000,11.150000,9.917816,39112300\n2004-06-03,11.160000,11.210000,10.850000,10.970000,9.757706,53652200\n2004-06-04,11.090000,11.180000,11.010000,11.040000,9.819971,48278700\n2004-06-07,11.180000,11.420000,11.130000,11.420000,10.157976,43849600\n2004-06-08,11.420000,11.610000,11.340000,11.590000,10.309194,49357800\n2004-06-09,11.590000,11.720000,11.500000,11.540000,10.264715,47534000\n2004-06-10,11.570000,11.720000,11.530000,11.710000,10.415929,42342500\n2004-06-14,11.620000,11.660000,11.450000,11.550000,10.273612,41450900\n2004-06-15,11.630000,11.860000,11.610000,11.710000,10.415929,62721200\n2004-06-16,11.360000,11.430000,11.230000,11.350000,10.095716,80914200\n2004-06-17,11.270000,11.320000,11.120000,11.140000,9.908919,41264700\n2004-06-18,11.100000,11.350000,11.050000,11.140000,9.908919,62933800\n2004-06-21,11.130000,11.210000,11.110000,11.150000,9.917816,38332300\n2004-06-22,11.110000,11.190000,11.050000,11.120000,9.891130,55112100\n2004-06-23,11.090000,11.210000,11.080000,11.150000,9.917816,45101400\n2004-06-24,11.160000,11.570000,11.140000,11.500000,10.229136,70678600\n2004-06-25,11.560000,11.960000,11.510000,11.800000,10.495983,88673100\n2004-06-28,11.780000,11.850000,11.600000,11.630000,10.344773,47118600\n2004-06-29,11.620000,11.860000,11.580000,11.770000,10.469296,39040900\n2004-06-30,11.760000,12.070000,11.640000,11.930000,10.611618,62400000\n2004-07-01,11.850000,11.960000,11.610000,11.810000,10.504880,61520000\n2004-07-02,11.750000,11.820000,11.620000,11.650000,10.362561,32076700\n2004-07-06,11.550000,11.600000,11.140000,11.200000,9.962291,61782900\n2004-07-07,11.150000,11.320000,11.130000,11.200000,9.962291,50583800\n2004-07-08,11.140000,11.150000,10.860000,10.920000,9.713232,71465200\n2004-07-09,11.030000,11.250000,10.980000,11.030000,9.811075,47046600\n2004-07-12,11.070000,11.230000,11.010000,11.090000,9.864447,37216900\n2004-07-13,11.140000,11.150000,11.000000,11.000000,9.784389,39466700\n2004-07-14,10.950000,11.010000,10.680000,10.790000,9.597600,79172000\n2004-07-15,10.970000,11.000000,10.690000,10.720000,9.535335,72403300\n2004-07-16,10.840000,10.870000,10.210000,10.220000,9.090592,100621100\n2004-07-19,10.380000,10.480000,10.290000,10.330000,9.188433,54154100\n2004-07-20,10.380000,10.540000,10.270000,10.500000,9.339647,45273400\n2004-07-21,10.550000,10.810000,10.330000,10.350000,9.206223,67054800\n2004-07-22,10.360000,10.460000,10.120000,10.360000,9.215117,34995200\n2004-07-23,10.280000,10.310000,10.030000,10.100000,8.983853,36626900\n2004-07-26,10.120000,10.270000,10.030000,10.080000,8.966062,42494100\n2004-07-27,10.110000,10.490000,10.100000,10.380000,9.232909,44267700\n2004-07-28,10.310000,10.370000,10.050000,10.250000,9.117275,45714900\n2004-07-29,10.340000,10.500000,10.270000,10.380000,9.232909,41100200\n2004-07-30,10.390000,10.520000,10.350000,10.510000,9.348543,31709700\n2004-08-02,10.370000,10.670000,10.330000,10.670000,9.490860,40242900\n2004-08-03,10.570000,10.680000,10.520000,10.560000,9.393018,44096400\n2004-08-04,10.560000,10.970000,10.520000,10.840000,9.642075,51684300\n2004-08-05,10.830000,10.850000,10.540000,10.640000,9.464179,46577100\n2004-08-06,10.430000,10.540000,10.190000,10.190000,9.063905,38588500\n2004-08-09,10.300000,10.470000,10.200000,10.370000,9.224017,31533900\n2004-08-10,10.450000,10.610000,10.310000,10.600000,9.428595,31955300\n2004-08-11,10.390000,10.420000,10.090000,10.190000,9.063905,43650500\n2004-08-12,10.090000,10.200000,9.780000,9.900000,8.805953,56499100\n2004-08-13,9.950000,10.280000,9.930000,10.250000,9.117275,46512000\n2004-08-16,10.250000,10.420000,10.200000,10.250000,9.117275,32335500\n2004-08-17,10.290000,10.430000,10.120000,10.280000,9.143956,40834000\n2004-08-18,10.140000,10.530000,10.120000,10.510000,9.348543,40961900\n2004-08-19,10.440000,10.490000,10.340000,10.420000,9.268490,32090200\n2004-08-20,10.390000,10.430000,10.300000,10.310000,9.170645,24015500\n2004-08-23,10.330000,10.390000,10.220000,10.300000,9.161748,27130700\n2004-08-24,10.330000,10.360000,10.150000,10.330000,9.188433,38644600\n2004-08-25,10.350000,10.440000,10.260000,10.400000,9.250698,29812200\n2004-08-26,10.370000,10.420000,10.210000,10.230000,9.099482,27281500\n2004-08-27,10.240000,10.340000,10.230000,10.290000,9.152852,20328400\n2004-08-30,10.200000,10.240000,10.080000,10.110000,8.992745,33704600\n2004-08-31,10.110000,10.140000,9.820000,9.970000,8.868216,37907800\n2004-09-01,9.960000,10.110000,9.940000,10.050000,8.939380,28920000\n2004-09-02,10.070000,10.350000,9.970000,10.290000,9.152852,40370000\n2004-09-03,10.200000,10.290000,9.970000,10.030000,8.921587,33742000\n2004-09-07,10.170000,10.220000,9.980000,10.080000,8.966062,31732100\n2004-09-08,9.940000,10.030000,9.860000,9.860000,8.770370,47062500\n2004-09-09,9.980000,10.020000,9.900000,9.930000,8.832635,44902800\n2004-09-10,10.120000,10.500000,10.040000,10.460000,9.304066,66209200\n2004-09-13,10.550000,10.700000,10.510000,10.620000,9.446383,52492300\n2004-09-14,10.640000,10.690000,10.460000,10.550000,9.384121,72170200\n2004-09-15,11.090000,11.410000,11.030000,11.330000,10.077927,135089500\n2004-09-16,11.250000,11.400000,11.170000,11.230000,9.988976,57893500\n2004-09-17,11.250000,11.580000,11.230000,11.510000,10.238035,59258000\n2004-09-20,11.350000,11.550000,11.310000,11.400000,10.140189,40527500\n2004-09-21,11.670000,11.680000,11.340000,11.410000,10.149080,44463000\n2004-09-22,11.280000,11.390000,11.100000,11.140000,9.908919,55341300\n2004-09-23,11.160000,11.240000,11.020000,11.050000,9.828863,40709000\n2004-09-24,11.120000,11.210000,11.010000,11.040000,9.819971,30796100\n2004-09-27,10.980000,11.280000,10.930000,11.190000,9.953397,40616600\n2004-09-28,11.240000,11.360000,11.090000,11.360000,10.104609,45610200\n2004-09-29,11.340000,11.520000,11.280000,11.430000,10.166874,41868100\n2004-09-30,11.420000,11.450000,11.240000,11.280000,10.033448,49604900\n2004-10-01,11.650000,11.950000,11.510000,11.900000,10.584934,69604100\n2004-10-04,12.100000,12.180000,11.830000,11.870000,10.558247,66003300\n2004-10-05,11.840000,12.210000,11.830000,12.210000,10.860674,46999300\n2004-10-06,12.140000,12.260000,12.060000,12.240000,10.887359,44461400\n2004-10-07,12.210000,12.420000,12.190000,12.290000,10.931831,50909000\n2004-10-08,12.170000,12.470000,12.020000,12.170000,10.825096,45517700\n2004-10-11,12.170000,12.270000,12.080000,12.200000,10.851779,25741700\n2004-10-12,12.030000,12.230000,11.980000,12.150000,10.807303,35379900\n2004-10-13,12.150000,12.170000,11.930000,11.990000,10.664987,40599700\n2004-10-14,11.930000,12.110000,11.920000,12.000000,10.673881,28269600\n2004-10-15,12.040000,12.250000,12.000000,12.240000,10.887359,41393100\n2004-10-18,12.150000,12.460000,12.100000,12.420000,11.047471,33181100\n2004-10-19,12.450000,12.540000,12.310000,12.310000,10.949624,44047000\n2004-10-20,12.240000,12.420000,12.180000,12.420000,11.047471,35207600\n2004-10-21,12.440000,12.470000,12.280000,12.440000,11.065258,40699800\n2004-10-22,12.430000,12.480000,12.190000,12.310000,10.949624,33118300\n2004-10-25,12.260000,12.330000,12.050000,12.130000,10.789515,33386800\n2004-10-26,12.160000,12.300000,12.110000,12.270000,10.914046,33466400\n2004-10-27,12.160000,12.720000,12.150000,12.590000,11.198681,43334500\n2004-10-28,12.480000,12.770000,12.210000,12.740000,11.332106,31068300\n2004-10-29,12.810000,12.810000,12.550000,12.660000,11.260947,34619900\n2004-11-01,12.720000,12.870000,12.550000,12.750000,11.341000,27994800\n2004-11-02,12.760000,13.000000,12.680000,12.800000,11.385474,40570200\n2004-11-03,12.950000,13.000000,12.720000,12.830000,11.412163,33987500\n2004-11-04,12.850000,13.140000,12.830000,13.100000,11.652321,37692700\n2004-11-05,13.120000,13.280000,13.080000,13.170000,11.714587,34605000\n2004-11-08,13.070000,13.200000,13.010000,13.110000,11.661217,21120600\n2004-11-09,13.090000,13.380000,13.070000,13.350000,11.874691,32825300\n2004-11-10,13.340000,13.500000,13.290000,13.380000,11.901380,40553300\n2004-11-11,13.230000,13.280000,12.780000,13.140000,11.687901,48867000\n2004-11-12,13.010000,13.400000,12.970000,13.390000,11.910271,41742700\n2004-11-15,13.300000,13.310000,12.970000,13.010000,11.572268,35834100\n2004-11-16,12.970000,13.040000,12.870000,12.920000,11.492210,29547200\n2004-11-17,12.990000,13.210000,12.950000,13.130000,11.679008,28451100\n2004-11-18,13.110000,13.150000,12.950000,12.970000,11.536691,25803100\n2004-11-19,13.070000,13.160000,12.690000,12.750000,11.341000,30991800\n2004-11-22,12.670000,12.750000,12.510000,12.680000,11.278737,41035900\n2004-11-23,12.600000,12.810000,12.510000,12.700000,11.296529,27711900\n2004-11-24,12.740000,12.860000,12.710000,12.790000,11.376582,19122000\n2004-11-26,12.780000,12.790000,12.640000,12.660000,11.260947,9101000\n2004-11-29,12.630000,12.790000,12.580000,12.680000,11.278737,32675200\n2004-11-30,12.640000,12.810000,12.620000,12.740000,11.332106,32502200\n2004-12-01,12.750000,13.090000,12.660000,13.090000,11.643428,46113400\n2004-12-02,12.900000,13.070000,12.820000,12.950000,11.518897,27804600\n2004-12-03,12.840000,13.110000,12.740000,13.030000,11.590058,69334000\n2004-12-06,12.980000,13.510000,12.960000,13.340000,11.865800,55786100\n2004-12-07,13.360000,13.570000,13.020000,13.060000,11.616741,41045600\n2004-12-08,13.140000,13.420000,13.090000,13.210000,11.750168,39890300\n2004-12-09,13.060000,13.400000,13.010000,13.290000,11.821325,35971400\n2004-12-10,13.160000,13.450000,13.140000,13.280000,11.812428,32027500\n2004-12-13,14.210000,14.870000,13.750000,14.630000,13.013240,181316700\n2004-12-14,14.460000,14.610000,14.180000,14.230000,12.657444,78544300\n2004-12-15,14.140000,14.180000,13.920000,14.090000,12.532915,73641400\n2004-12-16,14.000000,14.170000,13.980000,14.090000,12.532915,53533600\n2004-12-17,14.000000,14.170000,13.920000,13.980000,12.435071,62424100\n2004-12-20,14.000000,14.100000,13.550000,13.580000,12.079280,53505200\n2004-12-21,13.530000,13.900000,13.530000,13.790000,12.266070,50640900\n2004-12-22,13.800000,13.900000,13.650000,13.700000,12.186015,35878500\n2004-12-23,13.640000,13.780000,13.600000,13.640000,12.132647,20796300\n2004-12-27,13.720000,13.780000,13.610000,13.650000,12.141539,28715500\n2004-12-28,13.600000,13.890000,13.580000,13.840000,12.310545,34572700\n2004-12-29,13.730000,13.870000,13.660000,13.720000,12.203808,42544900\n2004-12-30,13.680000,13.940000,13.660000,13.880000,12.346124,37261100\n2004-12-31,13.860000,14.030000,13.680000,13.720000,12.203808,43515400\n2005-01-03,13.880000,13.890000,13.390000,13.410000,11.928063,60319300\n2005-01-04,13.460000,13.480000,12.920000,13.060000,11.616741,80906400\n2005-01-05,13.030000,13.260000,13.010000,13.100000,11.652321,42548400\n2005-01-06,13.130000,13.350000,13.080000,13.220000,11.759061,55580100\n2005-01-07,13.340000,13.450000,13.150000,13.330000,11.856905,45685800\n2005-01-10,13.320000,13.450000,13.170000,13.190000,11.732375,47571800\n2005-01-11,13.090000,13.390000,13.060000,13.200000,11.741268,63973000\n2005-01-12,13.260000,13.490000,13.240000,13.480000,11.990325,53420800\n2005-01-13,13.380000,13.670000,13.340000,13.480000,11.990325,56987700\n2005-01-14,13.560000,13.760000,13.490000,13.630000,12.123753,42509100\n2005-01-18,13.590000,13.900000,13.520000,13.780000,12.257174,60758900\n2005-01-19,13.660000,13.800000,13.450000,13.470000,11.981432,51115100\n2005-01-20,13.440000,13.680000,13.280000,13.280000,11.812428,45253200\n2005-01-21,13.350000,13.490000,13.280000,13.310000,11.839114,40716100\n2005-01-24,13.360000,13.500000,13.210000,13.240000,11.776849,37540700\n2005-01-25,13.490000,13.740000,13.460000,13.590000,12.088172,48682500\n2005-01-26,13.960000,14.010000,13.610000,13.620000,12.114855,78543500\n2005-01-27,13.670000,13.980000,13.500000,13.970000,12.426177,61917900\n2005-01-28,13.910000,13.950000,13.550000,13.680000,12.168226,47465300\n2005-01-31,13.770000,13.890000,13.630000,13.770000,12.248281,38555200\n2005-02-01,13.730000,13.760000,13.580000,13.650000,12.141539,43567600\n2005-02-02,13.670000,13.700000,13.450000,13.560000,12.061490,42057200\n2005-02-03,13.470000,13.550000,13.280000,13.340000,11.865800,39310700\n2005-02-04,13.310000,13.700000,13.300000,13.660000,12.150435,35832700\n2005-02-07,13.570000,13.610000,13.410000,13.550000,12.052594,43465100\n2005-02-08,13.550000,13.600000,13.460000,13.470000,11.981432,28869900\n2005-02-09,13.410000,13.480000,13.150000,13.170000,11.714587,42305100\n2005-02-10,13.210000,13.240000,13.020000,13.140000,11.687901,41274700\n2005-02-11,13.110000,13.390000,13.010000,13.350000,11.874691,50626000\n2005-02-14,13.260000,13.380000,13.230000,13.310000,11.839114,34744600\n2005-02-15,13.340000,13.460000,13.260000,13.290000,11.821325,43226900\n2005-02-16,13.240000,13.460000,13.230000,13.330000,11.856905,28360700\n2005-02-17,13.300000,13.380000,12.890000,12.960000,11.527794,44724400\n2005-02-18,12.970000,12.990000,12.840000,12.940000,11.510002,34769400\n2005-02-22,12.760000,12.870000,12.640000,12.660000,11.260947,50815200\n2005-02-23,12.730000,12.990000,12.590000,12.950000,11.518897,40930600\n2005-02-24,12.840000,13.120000,12.830000,13.010000,11.572268,39114400\n2005-02-25,13.040000,13.140000,12.960000,13.130000,11.679008,29254000\n2005-02-28,13.080000,13.250000,12.910000,12.950000,11.518897,37646400\n2005-03-01,13.030000,13.240000,12.980000,13.150000,11.696795,47027400\n2005-03-02,13.030000,13.200000,12.820000,13.050000,11.607845,49438200\n2005-03-03,13.080000,13.170000,12.960000,13.090000,11.643428,35449800\n2005-03-04,13.220000,13.460000,13.180000,13.280000,11.812428,55955700\n2005-03-07,13.370000,13.760000,13.340000,13.600000,12.097069,54894700\n2005-03-08,13.600000,13.800000,13.590000,13.620000,12.114855,38824300\n2005-03-09,13.440000,13.640000,13.310000,13.350000,11.874691,38544700\n2005-03-10,13.360000,13.420000,13.220000,13.260000,11.794641,28878100\n2005-03-11,13.330000,13.380000,13.000000,13.090000,11.643428,36704200\n2005-03-14,13.100000,13.250000,13.010000,13.150000,11.696795,30111500\n2005-03-15,13.270000,13.290000,13.110000,13.150000,11.696795,34154200\n2005-03-16,13.040000,13.210000,12.900000,13.020000,11.581161,44721200\n2005-03-17,13.010000,13.340000,12.990000,13.160000,11.705689,43835700\n2005-03-18,12.940000,13.010000,12.510000,12.540000,11.154209,153018100\n2005-03-21,12.600000,12.690000,12.420000,12.650000,11.252048,57215900\n2005-03-22,12.680000,12.740000,12.390000,12.490000,11.109732,50698700\n2005-03-23,12.320000,12.590000,12.240000,12.510000,11.127522,69699700\n2005-03-24,12.530000,12.550000,12.360000,12.400000,11.029679,34531200\n2005-03-28,12.400000,12.580000,12.260000,12.430000,11.056364,35841500\n2005-03-29,12.390000,12.520000,12.230000,12.280000,10.922938,35637300\n2005-03-30,12.340000,12.630000,12.320000,12.480000,11.100841,35214200\n2005-03-31,12.470000,12.670000,12.440000,12.480000,11.100841,32835900\n2005-04-01,12.560000,12.720000,12.520000,12.530000,11.145312,38333200\n2005-04-04,12.570000,12.730000,12.540000,12.690000,11.287631,48303100\n2005-04-05,12.650000,12.700000,12.380000,12.450000,11.074152,42466000\n2005-04-06,12.410000,12.560000,12.320000,12.380000,11.011891,30283800\n2005-04-07,12.370000,12.480000,12.280000,12.450000,11.074152,40822100\n2005-04-08,12.420000,12.530000,12.330000,12.360000,10.994098,38601300\n2005-04-11,12.370000,12.420000,12.310000,12.400000,11.029679,24216700\n2005-04-12,12.350000,12.530000,12.340000,12.490000,11.109732,41508400\n2005-04-13,12.400000,12.490000,12.170000,12.260000,10.905152,34983000\n2005-04-14,12.290000,12.360000,12.060000,12.090000,10.753934,49235100\n2005-04-15,11.940000,11.970000,11.660000,11.700000,10.407034,62108300\n2005-04-18,11.710000,11.970000,11.670000,11.800000,10.495983,42602500\n2005-04-19,11.900000,11.960000,11.690000,11.880000,10.567142,48096200\n2005-04-20,11.880000,12.030000,11.730000,11.780000,10.478193,55428000\n2005-04-21,11.930000,12.200000,11.910000,12.170000,10.825096,51078800\n2005-04-22,12.120000,12.170000,11.830000,11.920000,10.602724,43471400\n2005-04-25,11.930000,12.110000,11.920000,12.070000,10.736146,32411300\n2005-04-26,12.000000,12.300000,11.850000,11.880000,10.567142,30723400\n2005-04-27,11.830000,12.000000,11.810000,11.900000,10.584934,26514600\n2005-04-28,11.860000,11.900000,11.550000,11.620000,10.335875,39434000\n2005-04-29,11.670000,11.680000,11.250000,11.560000,10.282507,41386100\n2005-05-02,11.570000,11.680000,11.510000,11.600000,10.318087,27176700\n2005-05-03,11.530000,11.730000,11.510000,11.590000,10.309194,39877600\n2005-05-04,11.650000,11.870000,11.630000,11.720000,10.424827,37634100\n2005-05-05,11.710000,11.770000,11.560000,11.660000,10.371456,44792300\n2005-05-06,11.720000,11.800000,11.670000,11.760000,10.460404,27731800\n2005-05-09,11.740000,11.850000,11.690000,11.750000,10.451510,28091400\n2005-05-10,11.580000,11.720000,11.490000,11.520000,10.246928,36598000\n2005-05-11,11.580000,11.760000,11.480000,11.700000,10.407034,32542900\n2005-05-12,11.660000,12.020000,11.640000,11.890000,10.576039,62649000\n2005-05-13,11.920000,12.390000,11.910000,12.360000,10.994098,69496400\n2005-05-16,12.260000,12.450000,12.250000,12.350000,10.985206,41887000\n2005-05-17,12.260000,12.280000,11.980000,12.210000,10.860674,61633100\n2005-05-18,12.210000,12.430000,12.130000,12.330000,10.967413,44940000\n2005-05-19,12.360000,12.640000,12.350000,12.430000,11.056364,40463700\n2005-05-20,12.450000,12.640000,12.400000,12.550000,11.163103,25230900\n2005-05-23,12.620000,12.770000,12.600000,12.700000,11.296529,47390500\n2005-05-24,12.660000,12.860000,12.640000,12.800000,11.385474,43792600\n2005-05-25,12.720000,12.790000,12.610000,12.750000,11.341000,32280900\n2005-05-26,12.820000,12.980000,12.770000,12.920000,11.492210,31827400\n2005-05-27,12.860000,12.900000,12.790000,12.850000,11.429949,21594400\n2005-05-31,12.770000,12.870000,12.690000,12.800000,11.385474,28423900\n2005-06-01,12.790000,12.970000,12.770000,12.890000,11.465528,33329000\n2005-06-02,12.880000,12.990000,12.840000,12.980000,11.545584,33375700\n2005-06-03,12.950000,12.960000,12.550000,12.590000,11.198681,49038900\n2005-06-06,12.570000,12.720000,12.550000,12.650000,11.252048,29298000\n2005-06-07,12.640000,12.800000,12.560000,12.590000,11.198681,34230100\n2005-06-08,12.630000,12.750000,12.600000,12.670000,11.269840,35934900\n2005-06-09,12.630000,12.730000,12.580000,12.670000,11.269840,30027400\n2005-06-10,12.650000,12.850000,12.550000,12.640000,11.243156,28917900\n2005-06-13,12.580000,12.790000,12.560000,12.600000,11.207576,29601000\n2005-06-14,12.570000,12.640000,12.420000,12.480000,11.100841,36616900\n2005-06-15,12.580000,12.700000,12.300000,12.620000,11.225367,42236600\n2005-06-16,12.560000,12.630000,12.350000,12.460000,11.083047,40706600\n2005-06-17,12.600000,12.640000,12.280000,12.340000,10.976313,58512100\n2005-06-20,12.300000,12.550000,12.280000,12.410000,11.038571,34560100\n2005-06-21,12.400000,12.590000,12.370000,12.550000,11.163103,25868700\n2005-06-22,12.600000,12.700000,12.500000,12.630000,11.234262,31376000\n2005-06-23,12.630000,12.840000,12.480000,12.510000,11.127522,40990400\n2005-06-24,12.590000,12.660000,12.410000,12.500000,11.118629,34563900\n2005-06-27,12.500000,12.630000,12.500000,12.540000,11.154209,29560700\n2005-06-28,12.590000,12.920000,12.570000,12.830000,11.412163,49229600\n2005-06-29,13.470000,13.790000,13.230000,13.570000,12.070382,155754700\n2005-06-30,13.560000,13.630000,13.160000,13.200000,11.741268,73638100\n2005-07-01,13.390000,13.400000,13.210000,13.290000,11.821325,40126400\n2005-07-05,13.250000,13.310000,12.990000,13.270000,11.803535,43866000\n2005-07-06,13.230000,13.660000,13.210000,13.320000,11.848005,60319100\n2005-07-07,13.230000,13.350000,13.190000,13.290000,11.821325,50565700\n2005-07-08,13.280000,13.570000,13.260000,13.560000,12.061490,36333200\n2005-07-11,13.570000,13.740000,13.540000,13.710000,12.194913,37520900\n2005-07-12,13.660000,13.890000,13.620000,13.800000,12.274967,30736600\n2005-07-13,13.760000,14.000000,13.710000,13.960000,12.417285,34444700\n2005-07-14,13.980000,14.100000,13.860000,14.050000,12.497337,45097400\n2005-07-15,14.020000,14.110000,13.980000,14.040000,12.488443,43579300\n2005-07-18,13.960000,13.990000,13.900000,13.900000,12.363915,41776800\n2005-07-19,13.980000,14.510000,13.750000,13.940000,12.399492,36381100\n2005-07-20,13.790000,14.080000,13.780000,14.030000,12.479549,33567000\n2005-07-21,13.950000,14.050000,13.540000,13.720000,12.203808,41179300\n2005-07-22,13.670000,13.840000,13.570000,13.800000,12.274967,27661200\n2005-07-25,13.800000,13.900000,13.710000,13.790000,12.266070,18455700\n2005-07-26,13.800000,13.960000,13.760000,13.790000,12.266070,24798000\n2005-07-27,13.890000,13.950000,13.700000,13.840000,12.310545,22664400\n2005-07-28,13.860000,13.900000,13.710000,13.850000,12.319440,18985900\n2005-07-29,13.830000,13.860000,13.570000,13.570000,12.070382,27162200\n2005-08-01,13.670000,13.690000,13.450000,13.520000,12.025908,25341800\n2005-08-02,13.520000,13.690000,13.440000,13.580000,12.079280,28944700\n2005-08-03,13.500000,13.520000,13.290000,13.380000,11.901380,31846100\n2005-08-04,13.250000,13.380000,13.210000,13.300000,11.830220,30788400\n2005-08-05,13.270000,13.360000,13.140000,13.280000,11.812428,25542900\n2005-08-08,13.340000,13.420000,13.250000,13.290000,11.821325,24940300\n2005-08-09,13.330000,13.440000,13.300000,13.360000,11.883589,21887400\n2005-08-10,13.380000,13.570000,13.300000,13.350000,11.874691,29897300\n2005-08-11,13.330000,13.470000,13.260000,13.370000,11.892487,25785900\n2005-08-12,13.320000,13.360000,13.200000,13.300000,11.830220,31991200\n2005-08-15,13.260000,13.380000,13.220000,13.290000,11.821325,37981700\n2005-08-16,13.260000,13.350000,13.250000,13.300000,11.830220,32583500\n2005-08-17,13.280000,13.330000,13.140000,13.240000,11.776849,29401000\n2005-08-18,13.200000,13.270000,13.040000,13.090000,11.643428,28469400\n2005-08-19,13.140000,13.220000,13.060000,13.070000,11.625636,22327200\n2005-08-22,13.060000,13.200000,12.990000,13.090000,11.643428,22938400\n2005-08-23,13.060000,13.180000,12.960000,13.100000,11.652321,26582100\n2005-08-24,13.070000,13.120000,12.870000,12.950000,11.518897,34968300\n2005-08-25,12.970000,13.060000,12.920000,12.970000,11.536691,23002700\n2005-08-26,12.950000,13.000000,12.820000,12.900000,11.474422,21404700\n2005-08-29,12.840000,13.170000,12.830000,13.080000,11.634531,24065700\n2005-08-30,13.010000,13.070000,12.840000,13.030000,11.590058,24651900\n2005-08-31,13.000000,13.030000,12.820000,12.990000,11.554479,41226700\n2005-09-01,12.940000,13.400000,12.920000,13.310000,11.839114,48010000\n2005-09-02,13.360000,13.560000,13.350000,13.390000,11.910271,30062900\n2005-09-06,13.430000,13.620000,13.390000,13.560000,12.061490,21904000\n2005-09-07,13.500000,13.580000,13.330000,13.410000,11.928063,21709400\n2005-09-08,13.490000,13.530000,13.260000,13.370000,11.892487,21637400\n2005-09-09,13.460000,13.480000,13.000000,13.280000,11.812428,26508800\n2005-09-12,13.490000,13.500000,13.280000,13.490000,11.999223,63897300\n2005-09-13,13.480000,14.000000,13.460000,13.640000,12.132647,52205500\n2005-09-14,13.680000,13.750000,13.440000,13.440000,11.954747,42778400\n2005-09-15,13.510000,13.530000,13.270000,13.370000,11.892487,35539600\n2005-09-16,13.430000,13.470000,13.120000,13.250000,11.785744,139633800\n2005-09-19,13.280000,13.390000,13.140000,13.290000,11.821325,34865300\n2005-09-20,13.320000,13.570000,13.270000,13.400000,11.919167,50218900\n2005-09-21,13.420000,13.470000,13.170000,13.290000,11.821325,41807500\n2005-09-22,13.320000,13.620000,13.210000,13.520000,12.025908,50974700\n2005-09-23,12.540000,12.600000,12.260000,12.450000,11.074152,171863900\n2005-09-26,12.530000,12.550000,12.320000,12.400000,11.029679,59122300\n2005-09-27,12.430000,12.460000,12.290000,12.330000,10.967413,37175600\n2005-09-28,12.330000,12.340000,12.180000,12.190000,10.842883,44322900\n2005-09-29,12.190000,12.350000,12.000000,12.320000,10.958520,52676000\n2005-09-30,12.300000,12.550000,12.250000,12.400000,11.029679,47203900\n2005-10-03,12.420000,12.570000,12.370000,12.380000,11.011891,29586900\n2005-10-04,12.380000,12.450000,12.140000,12.240000,10.887359,41009900\n2005-10-05,12.220000,12.250000,12.030000,12.170000,10.825096,34813500\n2005-10-06,12.190000,12.280000,11.900000,12.030000,10.700568,45171900\n2005-10-07,12.070000,12.100000,11.850000,11.980000,10.656094,39090400\n2005-10-10,11.970000,12.070000,11.850000,12.010000,10.682778,29861900\n2005-10-11,12.010000,12.210000,11.990000,12.080000,10.745041,45667300\n2005-10-12,12.060000,12.250000,12.000000,12.000000,10.673881,38115600\n2005-10-13,11.990000,12.220000,11.970000,12.080000,10.745041,27465200\n2005-10-14,12.140000,12.350000,12.060000,12.310000,10.949624,32795600\n2005-10-17,12.280000,12.590000,12.210000,12.380000,11.011891,39140000\n2005-10-18,12.330000,12.470000,12.320000,12.370000,11.002991,25834800\n2005-10-19,12.320000,12.590000,11.960000,12.190000,10.842883,58423300\n2005-10-20,12.290000,12.410000,12.110000,12.140000,10.798413,47209000\n2005-10-21,12.210000,12.380000,12.180000,12.260000,10.905152,35759000\n2005-10-24,12.380000,12.850000,12.310000,12.820000,11.403267,57706100\n2005-10-25,12.730000,13.050000,12.700000,12.970000,11.536691,51784400\n2005-10-26,12.850000,12.980000,12.570000,12.660000,11.260947,43585600\n2005-10-27,12.600000,12.730000,12.440000,12.450000,11.074152,29631200\n2005-10-28,12.560000,12.770000,12.480000,12.710000,11.305421,33849500\n2005-10-31,12.650000,12.780000,12.570000,12.680000,11.278737,41947800\n2005-11-01,12.580000,12.860000,12.580000,12.730000,11.323209,24436100\n2005-11-02,12.580000,12.660000,12.300000,12.480000,11.100841,50044000\n2005-11-03,12.400000,12.410000,11.750000,12.200000,10.851779,111121100\n2005-11-04,12.180000,12.640000,12.170000,12.610000,11.216468,44196600\n2005-11-07,12.590000,12.640000,12.450000,12.610000,11.216468,29100600\n2005-11-08,12.550000,12.650000,12.490000,12.620000,11.225367,25869100\n2005-11-09,12.560000,12.620000,12.480000,12.510000,11.127522,23907100\n2005-11-10,12.490000,12.710000,12.380000,12.700000,11.296529,31650400\n2005-11-11,12.700000,13.030000,12.650000,12.810000,11.394370,30479200\n2005-11-14,12.780000,12.940000,12.750000,12.820000,11.403267,23442500\n2005-11-15,12.730000,12.800000,12.600000,12.670000,11.269840,27329000\n2005-11-16,12.620000,12.630000,12.410000,12.490000,11.109732,31078200\n2005-11-17,12.450000,12.630000,12.380000,12.610000,11.216468,42275000\n2005-11-18,12.800000,12.820000,12.570000,12.620000,11.225367,33066200\n2005-11-21,12.530000,12.650000,12.340000,12.440000,11.065258,41774600\n2005-11-22,12.330000,12.490000,12.310000,12.390000,11.020787,46235900\n2005-11-23,12.350000,12.670000,12.340000,12.640000,11.243156,34181400\n2005-11-25,12.670000,12.770000,12.600000,12.610000,11.216468,7851700\n2005-11-28,12.590000,12.600000,12.470000,12.540000,11.154209,23031900\n2005-11-29,12.580000,12.800000,12.570000,12.730000,11.323209,28170600\n2005-11-30,12.710000,12.810000,12.560000,12.600000,11.207576,34494400\n2005-12-01,12.680000,12.920000,12.670000,12.860000,11.438843,30461000\n2005-12-02,12.940000,12.950000,12.730000,12.760000,11.349896,28696700\n2005-12-05,12.720000,12.740000,12.420000,12.510000,11.127522,44188500\n2005-12-06,12.540000,12.630000,12.420000,12.520000,11.136417,31834600\n2005-12-07,12.520000,12.580000,12.360000,12.510000,11.127522,40344700\n2005-12-08,12.500000,12.520000,12.230000,12.440000,11.065258,74267000\n2005-12-09,12.430000,12.580000,12.430000,12.500000,11.118629,44904200\n2005-12-12,12.510000,12.860000,12.500000,12.840000,11.421054,47509200\n2005-12-13,12.700000,12.860000,12.600000,12.830000,11.412163,40282800\n2005-12-14,12.820000,12.900000,12.680000,12.810000,11.394370,36832500\n2005-12-15,12.710000,12.850000,12.640000,12.830000,11.412163,39606200\n2005-12-16,12.540000,12.730000,11.990000,12.690000,11.287631,203707200\n2005-12-19,12.550000,12.620000,12.280000,12.320000,10.958520,88450900\n2005-12-20,12.390000,12.420000,12.250000,12.280000,10.922938,88569800\n2005-12-21,12.320000,12.320000,12.140000,12.180000,10.833991,42154200\n2005-12-22,12.160000,12.420000,12.150000,12.320000,10.958520,64662200\n2005-12-23,12.380000,12.510000,12.310000,12.340000,10.976313,28028200\n2005-12-27,12.330000,12.410000,12.240000,12.350000,10.985206,20909100\n2005-12-28,12.350000,12.440000,12.270000,12.280000,10.922938,21423600\n2005-12-29,12.270000,12.360000,12.230000,12.290000,10.931831,21138100\n2005-12-30,12.210000,12.400000,12.160000,12.210000,10.860674,22598000\n2006-01-03,12.230000,12.800000,12.220000,12.600000,11.207576,56073800\n2006-01-04,12.560000,12.780000,12.540000,12.620000,11.225367,56412300\n2006-01-05,12.620000,12.920000,12.600000,12.790000,11.376582,52657100\n2006-01-06,12.800000,13.150000,12.750000,13.120000,11.670113,95067600\n2006-01-09,13.010000,13.090000,12.790000,12.880000,11.456632,48177800\n2006-01-10,12.810000,12.810000,12.610000,12.620000,11.225367,43903600\n2006-01-11,12.640000,12.680000,12.470000,12.600000,11.207576,60810100\n2006-01-12,12.730000,12.740000,12.480000,12.520000,11.136417,43749300\n2006-01-13,12.490000,12.540000,12.370000,12.510000,11.127522,33247500\n2006-01-17,12.460000,12.540000,12.400000,12.440000,11.065258,22593700\n2006-01-18,12.370000,12.390000,12.230000,12.340000,10.976313,44744000\n2006-01-19,12.470000,12.600000,12.450000,12.520000,11.136417,41646400\n2006-01-20,12.480000,12.530000,12.260000,12.290000,10.931831,53853200\n2006-01-23,12.310000,12.500000,12.210000,12.300000,10.940730,36996200\n2006-01-24,12.350000,12.390000,12.190000,12.200000,10.851779,48399500\n2006-01-25,12.400000,12.560000,12.340000,12.510000,11.127522,92994900\n2006-01-26,12.560000,12.600000,12.410000,12.440000,11.065258,63482400\n2006-01-27,12.450000,12.530000,12.390000,12.410000,11.038571,61590500\n2006-01-30,12.420000,12.650000,12.280000,12.610000,11.216468,62092100\n2006-01-31,12.560000,12.590000,12.410000,12.570000,11.180889,53373600\n2006-02-01,12.410000,12.650000,12.390000,12.580000,11.189787,54206000\n2006-02-02,12.540000,12.580000,12.360000,12.390000,11.020787,41926000\n2006-02-03,12.300000,12.380000,12.180000,12.210000,10.860674,63619900\n2006-02-06,12.220000,12.290000,12.060000,12.250000,10.896253,61768000\n2006-02-07,12.230000,12.390000,12.210000,12.370000,11.002991,51162700\n2006-02-08,12.440000,12.630000,12.440000,12.570000,11.180889,54270900\n2006-02-09,12.560000,12.800000,12.460000,12.690000,11.287631,107351900\n2006-02-10,12.580000,12.800000,12.560000,12.690000,11.287631,59674100\n2006-02-13,12.640000,12.720000,12.400000,12.490000,11.109732,37636000\n2006-02-14,12.480000,12.490000,12.350000,12.400000,11.029679,47912300\n2006-02-15,12.370000,12.500000,12.350000,12.410000,11.038571,37630400\n2006-02-16,12.420000,12.490000,12.360000,12.440000,11.065258,29399100\n2006-02-17,12.380000,12.440000,12.320000,12.400000,11.029679,35536000\n2006-02-21,12.350000,12.380000,12.250000,12.340000,10.976313,41343600\n2006-02-22,12.360000,12.490000,12.280000,12.480000,11.100841,40641000\n2006-02-23,12.440000,12.540000,12.400000,12.400000,11.029679,39913300\n2006-02-24,12.390000,12.490000,12.380000,12.460000,11.083047,31299300\n2006-02-27,12.440000,12.510000,12.360000,12.460000,11.083047,38585600\n2006-02-28,12.420000,12.580000,12.390000,12.420000,11.047471,43399200\n2006-03-01,12.490000,12.830000,12.490000,12.810000,11.394370,72471500\n2006-03-02,12.750000,12.920000,12.680000,12.800000,11.385474,63229200\n2006-03-03,12.630000,12.930000,12.610000,12.790000,11.376582,52363900\n2006-03-06,12.750000,12.960000,12.730000,12.770000,11.358789,48553100\n2006-03-07,12.740000,12.920000,12.720000,12.880000,11.456632,36177700\n2006-03-08,12.810000,12.950000,12.750000,12.860000,11.438843,38942500\n2006-03-09,12.900000,13.000000,12.820000,12.840000,11.421054,48773800\n2006-03-10,12.880000,13.000000,12.840000,12.900000,11.474422,38438000\n2006-03-13,12.920000,12.950000,12.850000,12.900000,11.474422,24297100\n2006-03-14,12.910000,12.980000,12.870000,12.960000,11.527794,44498300\n2006-03-15,12.940000,13.320000,12.900000,13.240000,11.776849,76106900\n2006-03-16,13.340000,13.540000,13.270000,13.500000,12.008117,81957200\n2006-03-17,13.540000,13.720000,13.420000,13.600000,12.097069,70639000\n2006-03-20,13.660000,13.870000,13.570000,13.720000,12.203808,123796300\n2006-03-21,13.340000,13.900000,13.220000,13.620000,12.114855,144515800\n2006-03-22,13.570000,14.000000,13.550000,13.990000,12.443967,83106300\n2006-03-23,13.910000,13.990000,13.730000,13.800000,12.274967,51106100\n2006-03-24,13.780000,13.830000,13.720000,13.790000,12.266070,35174400\n2006-03-27,13.830000,13.940000,13.770000,13.840000,12.310545,36646600\n2006-03-28,13.830000,13.850000,13.570000,13.590000,12.088172,47533800\n2006-03-29,13.590000,13.810000,13.430000,13.720000,12.203808,55889400\n2006-03-30,13.720000,13.850000,13.640000,13.780000,12.257174,50501000\n2006-03-31,13.710000,13.850000,13.690000,13.690000,12.177119,33305800\n2006-04-03,13.750000,13.860000,13.750000,13.790000,12.266070,26912300\n2006-04-04,13.820000,13.910000,13.780000,13.840000,12.310545,30831800\n2006-04-05,13.820000,14.000000,13.810000,13.950000,12.408389,70984700\n2006-04-06,13.960000,13.960000,13.740000,13.800000,12.274967,32788400\n2006-04-07,13.830000,13.910000,13.720000,13.750000,12.230490,29517200\n2006-04-10,13.730000,13.850000,13.620000,13.830000,12.301647,28928600\n2006-04-11,13.830000,14.000000,13.720000,13.840000,12.310545,44219500\n2006-04-12,13.840000,13.900000,13.730000,13.780000,12.257174,29217300\n2006-04-13,13.750000,13.770000,13.660000,13.680000,12.168226,29693900\n2006-04-17,13.660000,13.830000,13.650000,13.740000,12.221597,28970700\n2006-04-18,13.700000,14.010000,13.690000,14.000000,12.452865,41113900\n2006-04-19,13.840000,14.340000,13.810000,14.310000,12.728604,58050400\n2006-04-20,14.160000,14.310000,14.100000,14.150000,12.586285,32815300\n2006-04-21,14.160000,14.450000,14.150000,14.280000,12.701921,56187800\n2006-04-24,14.230000,14.670000,14.190000,14.480000,12.879815,61354000\n2006-04-25,14.560000,14.830000,14.550000,14.650000,13.031030,58690000\n2006-04-26,14.700000,14.740000,14.620000,14.720000,13.093297,47345900\n2006-04-27,14.680000,15.210000,14.550000,14.930000,13.280088,108692600\n2006-04-28,14.890000,14.950000,14.520000,14.590000,12.977662,67677500\n2006-05-01,14.610000,14.960000,14.430000,14.580000,12.968766,41422900\n2006-05-02,14.560000,14.580000,14.380000,14.430000,12.835343,29045900\n2006-05-03,14.370000,14.490000,14.070000,14.320000,12.737498,40839600\n2006-05-04,14.380000,14.470000,14.210000,14.290000,12.710817,21837400\n2006-05-05,14.300000,14.570000,14.280000,14.450000,12.853133,26398600\n2006-05-08,14.430000,14.550000,14.170000,14.230000,12.657444,29683000\n2006-05-09,14.220000,14.280000,14.050000,14.110000,12.550708,21975400\n2006-05-10,14.070000,14.370000,14.060000,14.240000,12.666341,23581800\n2006-05-11,14.190000,14.280000,13.800000,13.910000,12.372808,31474100\n2006-05-12,13.740000,14.220000,13.540000,13.980000,12.435071,39924500\n2006-05-15,13.830000,14.030000,13.800000,13.970000,12.426177,26079100\n2006-05-16,13.910000,14.220000,13.870000,14.190000,12.621868,42273300\n2006-05-17,14.080000,14.110000,13.750000,13.850000,12.319440,47984500\n2006-05-18,13.930000,13.990000,13.280000,13.770000,12.248281,46897500\n2006-05-19,13.610000,13.930000,13.560000,13.700000,12.186015,46390200\n2006-05-22,13.530000,13.720000,13.500000,13.550000,12.052594,29426200\n2006-05-23,13.560000,13.640000,13.440000,13.470000,11.981432,27182500\n2006-05-24,13.380000,13.870000,13.360000,13.780000,12.257174,32985200\n2006-05-25,13.760000,14.110000,13.700000,14.070000,12.515128,37154800\n2006-05-26,14.050000,14.180000,13.920000,14.050000,12.497337,18672500\n2006-05-30,14.000000,14.190000,13.880000,14.020000,12.470651,26323900\n2006-05-31,14.010000,14.250000,13.970000,14.220000,12.648550,34272800\n2006-06-01,14.140000,14.240000,13.960000,14.220000,12.648550,37626100\n2006-06-02,14.220000,14.280000,14.040000,14.150000,12.586285,22929600\n2006-06-05,14.050000,14.110000,13.860000,13.860000,12.328335,22489500\n2006-06-06,13.980000,14.000000,13.600000,13.820000,12.292753,31295500\n2006-06-07,13.860000,13.880000,13.500000,13.540000,12.043694,30404500\n2006-06-08,13.450000,13.590000,13.200000,13.530000,12.034801,50882600\n2006-06-09,13.490000,13.540000,13.330000,13.470000,11.981432,26740100\n2006-06-12,13.460000,13.580000,13.220000,13.250000,11.785744,36625600\n2006-06-13,13.270000,13.540000,13.100000,13.150000,11.696795,36410300\n2006-06-14,13.150000,13.290000,13.070000,13.190000,11.732375,27433700\n2006-06-15,13.330000,13.840000,13.300000,13.700000,12.186015,47881400\n2006-06-16,14.470000,14.920000,14.090000,14.190000,12.621868,115901400\n2006-06-19,14.350000,14.560000,14.180000,14.290000,12.710817,35603700\n2006-06-20,14.420000,14.480000,14.230000,14.250000,12.675236,29998100\n2006-06-21,14.290000,14.900000,14.280000,14.530000,12.924294,58342800\n2006-06-22,14.620000,14.700000,14.250000,14.330000,12.746394,48936300\n2006-06-23,14.680000,15.070000,14.540000,14.900000,13.253403,72620900\n2006-06-26,14.870000,14.930000,14.520000,14.670000,13.048823,32602300\n2006-06-27,14.610000,14.670000,14.330000,14.500000,12.897607,41863600\n2006-06-28,14.500000,14.630000,14.490000,14.580000,12.968766,25331900\n2006-06-29,14.610000,14.860000,14.400000,14.740000,13.111086,52383700\n2006-06-30,14.770000,14.970000,14.490000,14.490000,12.888713,49491600\n2006-07-03,14.610000,14.810000,14.610000,14.810000,13.173353,16969500\n2006-07-05,14.630000,14.770000,14.550000,14.570000,12.959872,29529100\n2006-07-06,14.520000,14.640000,14.430000,14.500000,12.897607,28736300\n2006-07-07,14.500000,14.980000,14.420000,14.780000,13.146663,53231000\n2006-07-10,14.780000,14.980000,14.400000,14.590000,12.977662,32810500\n2006-07-11,14.470000,14.580000,14.290000,14.540000,12.933187,35140800\n2006-07-12,14.510000,14.590000,14.150000,14.220000,12.648550,26652400\n2006-07-13,13.880000,14.270000,13.770000,14.100000,12.541811,52970500\n2006-07-14,14.050000,14.390000,13.930000,14.290000,12.710817,40051300\n2006-07-17,14.240000,14.470000,14.220000,14.420000,12.826447,32459300\n2006-07-18,14.390000,14.810000,14.350000,14.720000,13.093297,52405400\n2006-07-19,14.810000,15.210000,14.730000,15.070000,13.404617,66918900\n2006-07-20,15.060000,15.240000,14.910000,15.120000,13.449092,48545800\n2006-07-21,15.030000,15.290000,14.960000,15.120000,13.449092,57164900\n2006-07-24,15.080000,15.170000,14.920000,14.980000,13.324563,47729400\n2006-07-25,14.930000,15.060000,14.800000,14.930000,13.280088,36945500\n2006-07-26,14.940000,15.190000,14.760000,15.020000,13.360144,35836600\n2006-07-27,15.080000,15.190000,14.790000,14.870000,13.226722,37199200\n2006-07-28,14.930000,15.120000,14.850000,15.070000,13.404617,25837300\n2006-07-31,14.930000,15.030000,14.820000,14.970000,13.315666,35173100\n2006-08-01,14.900000,14.940000,14.550000,14.730000,13.102192,33903300\n2006-08-02,14.700000,14.940000,14.550000,14.810000,13.173353,33423700\n2006-08-03,14.800000,15.030000,14.730000,14.770000,13.137772,31820900\n2006-08-04,14.840000,14.870000,14.490000,14.620000,13.004346,35927100\n2006-08-07,14.640000,14.690000,14.500000,14.620000,13.004346,31683300\n2006-08-08,14.660000,15.000000,14.660000,14.800000,13.164456,42021300\n2006-08-09,14.950000,15.250000,14.850000,14.950000,13.297876,50604600\n2006-08-10,14.880000,15.270000,14.860000,15.130000,13.457987,34394400\n2006-08-11,15.100000,15.160000,14.890000,14.990000,13.333457,19315000\n2006-08-14,15.110000,15.500000,15.060000,15.290000,13.600307,36319700\n2006-08-15,15.470000,15.750000,15.430000,15.720000,13.982785,47767900\n2006-08-16,15.740000,15.750000,15.410000,15.540000,13.822677,49609300\n2006-08-17,15.420000,15.950000,15.410000,15.810000,14.062840,46413400\n2006-08-18,15.760000,15.810000,15.400000,15.710000,13.973890,33126400\n2006-08-21,15.590000,15.790000,15.450000,15.640000,13.911633,28275800\n2006-08-22,15.630000,15.650000,15.370000,15.480000,13.769311,39584700\n2006-08-23,15.480000,15.490000,15.230000,15.320000,13.626990,37833800\n2006-08-24,15.390000,15.500000,15.230000,15.380000,13.680359,41883900\n2006-08-25,15.360000,15.630000,15.310000,15.410000,13.707043,28897000\n2006-08-28,15.420000,15.650000,15.360000,15.540000,13.822677,28113600\n2006-08-29,15.530000,15.640000,15.400000,15.520000,13.804886,28281400\n2006-08-30,15.560000,15.830000,15.500000,15.760000,14.018366,27305200\n2006-08-31,15.680000,15.750000,15.500000,15.660000,13.929417,27549200\n2006-09-01,15.800000,15.830000,15.450000,15.500000,13.787101,24599100\n2006-09-05,15.600000,15.890000,15.590000,15.840000,14.089525,40291700\n2006-09-06,15.680000,15.810000,15.570000,15.620000,13.893836,44824300\n2006-09-07,15.640000,16.200001,15.580000,16.010000,14.240740,77357700\n2006-09-08,16.049999,16.180000,15.760000,15.910000,14.151790,46528300\n2006-09-11,15.790000,16.350000,15.750000,16.290001,14.489797,42647900\n2006-09-12,16.299999,16.379999,16.150000,16.299999,14.498691,44246800\n2006-09-13,16.309999,16.480000,16.180000,16.389999,14.578743,40822400\n2006-09-14,16.280001,16.490000,16.200001,16.469999,14.649902,27724100\n2006-09-15,16.520000,16.639999,16.100000,16.330000,14.525372,81171300\n2006-09-18,16.400000,16.450001,16.100000,16.250000,14.454216,59339400\n2006-09-19,16.309999,16.600000,16.070000,16.129999,14.347474,91193700\n2006-09-20,18.090000,18.290001,17.840000,17.930000,15.948557,202996500\n2006-09-21,17.930000,18.150000,17.910000,18.080000,16.081980,68071400\n2006-09-22,17.830000,17.900000,17.530001,17.540001,15.601664,49688000\n2006-09-25,17.580000,17.990000,17.389999,17.969999,15.984132,54215900\n2006-09-26,17.870001,18.240000,17.870001,18.190001,16.179831,64678900\n2006-09-27,18.080000,18.190001,17.900000,17.930000,15.948557,34076300\n2006-09-28,17.969999,18.150000,17.809999,17.990000,16.001934,43520700\n2006-09-29,17.950001,18.030001,17.740000,17.740000,15.779552,33614900\n2006-10-02,17.910000,17.959999,17.590000,17.660000,15.708395,41128800\n2006-10-03,17.570000,18.049999,17.520000,17.900000,15.921874,53435100\n2006-10-04,17.879999,18.200001,17.790001,18.170000,16.162039,46304700\n2006-10-05,18.180000,18.309999,18.139999,18.260000,16.242088,43868000\n2006-10-06,18.150000,18.459999,18.129999,18.190001,16.179831,33143800\n2006-10-09,18.160000,18.590000,18.070000,18.549999,16.500044,33338100\n2006-10-10,18.559999,18.740000,18.469999,18.740000,16.669046,50293800\n2006-10-11,18.680000,18.790001,18.480000,18.580000,16.526728,37734900\n2006-10-12,18.650000,19.000000,18.520000,18.990000,16.891420,44746600\n2006-10-13,18.969999,19.139999,18.780001,19.070000,16.962576,36476500\n2006-10-16,19.100000,19.129999,18.980000,18.990000,16.891420,24339400\n2006-10-17,18.840000,18.990000,18.600000,18.629999,16.571207,27320400\n2006-10-18,18.840000,18.950001,18.690001,18.740000,16.669046,26886900\n2006-10-19,18.660000,18.959999,18.370001,18.870001,16.784685,33306700\n2006-10-20,18.950001,19.020000,18.680000,18.980000,16.882523,23512400\n2006-10-23,18.969999,19.250000,18.870001,19.150000,17.033735,29547100\n2006-10-24,19.059999,19.150000,18.740000,18.889999,16.802469,28817700\n2006-10-25,18.910000,18.980000,18.549999,18.620001,16.562307,36102000\n2006-10-26,18.709999,18.879999,18.469999,18.719999,16.651260,30011200\n2006-10-27,18.590000,18.590000,18.059999,18.100000,16.099775,42152100\n2006-10-30,17.940001,18.590000,17.770000,18.520000,16.473360,29734300\n2006-10-31,18.540001,18.680000,18.410000,18.469999,16.428883,28280800\n2006-11-01,18.559999,18.650000,18.340000,18.469999,16.428883,31828700\n2006-11-02,18.450001,18.469999,18.049999,18.270000,16.250988,34605200\n2006-11-03,18.320000,18.340000,17.670000,17.780001,15.815137,47245500\n2006-11-06,17.900000,18.230000,17.820000,18.100000,16.099775,38100500\n2006-11-07,18.120001,18.250000,17.990000,18.200001,16.188723,27343800\n2006-11-08,18.160000,18.430000,18.049999,18.360001,16.331043,24934900\n2006-11-09,18.410000,18.799999,18.290001,18.540001,16.491150,40625800\n2006-11-10,18.650000,18.870001,18.610001,18.780001,16.704622,24006700\n2006-11-13,18.790001,19.209999,18.750000,19.180000,17.060417,34351000\n2006-11-14,19.170000,19.219999,18.920000,19.170000,17.051533,33725800\n2006-11-15,19.129999,19.270000,19.070000,19.120001,17.007046,19244400\n2006-11-16,19.160000,19.200001,18.889999,19.100000,16.989258,22138000\n2006-11-17,19.000000,19.469999,18.980000,19.459999,17.309481,34515900\n2006-11-20,19.330000,19.580000,19.320000,19.480000,17.327269,24461400\n2006-11-21,19.459999,19.490000,19.219999,19.480000,17.327269,20572900\n2006-11-22,19.490000,19.750000,19.480000,19.660000,17.487371,22510700\n2006-11-24,19.459999,19.730000,19.379999,19.600000,17.434008,7998500\n2006-11-27,19.480000,19.549999,18.830000,18.920000,16.829155,36667400\n2006-11-28,18.780001,19.030001,18.719999,18.900000,16.811367,38242400\n2006-11-29,19.040001,19.340000,18.910000,19.150000,17.033735,23085400\n2006-11-30,19.129999,19.309999,19.030001,19.049999,16.944784,32049500\n2006-12-01,19.110001,19.110001,18.629999,18.809999,16.731312,35175500\n2006-12-04,18.879999,19.340000,18.750000,19.280001,17.149372,47472800\n2006-12-05,19.320000,19.330000,18.780001,18.860001,16.775787,54935000\n2006-12-06,18.389999,18.420000,17.780001,17.879999,15.904080,94937400\n2006-12-07,17.620001,17.700001,17.320000,17.500000,15.566077,93141200\n2006-12-08,17.590000,17.879999,17.530001,17.799999,15.832925,37639100\n2006-12-11,17.770000,18.250000,17.709999,18.070000,16.073092,43930100\n2006-12-12,18.209999,18.219999,17.830000,17.990000,16.001934,41589600\n2006-12-13,18.219999,18.250000,17.879999,18.020000,16.028614,33991300\n2006-12-14,18.070000,18.250000,17.940001,18.020000,16.028614,26996600\n2006-12-15,18.010000,18.030001,17.590000,17.680000,15.726192,70448500\n2006-12-18,17.870001,18.170000,17.650000,17.910000,15.930766,58188500\n2006-12-19,17.150000,17.260000,16.930000,17.100000,15.210281,102097500\n2006-12-20,17.090000,17.219999,17.030001,17.100000,15.210281,48725300\n2006-12-21,17.139999,17.200001,17.090000,17.100000,15.210281,34704400\n2006-12-22,17.110001,17.250000,17.049999,17.110001,15.219178,19736700\n2006-12-26,17.020000,17.250000,16.990000,17.129999,15.236966,15053500\n2006-12-27,17.230000,17.240000,17.070000,17.100000,15.210281,16546600\n2006-12-28,17.129999,17.250000,17.040001,17.200001,15.299232,20485400\n2006-12-29,17.110001,17.379999,17.080000,17.139999,15.245860,23592900\n2007-01-03,17.219999,17.780001,17.100000,17.510000,15.574974,52241700\n2007-01-04,17.549999,17.870001,17.299999,17.680000,15.726192,33559800\n2007-01-05,17.620001,17.760000,17.440001,17.639999,15.690602,36154800\n2007-01-08,17.629999,17.930000,17.450001,17.860001,15.886301,31018100\n2007-01-09,17.930000,17.980000,17.650000,17.820000,15.850718,31417000\n2007-01-10,17.660000,17.799999,17.549999,17.770000,15.806239,27822400\n2007-01-11,17.790001,17.809999,17.350000,17.389999,15.468234,65380200\n2007-01-12,17.350000,17.549999,17.280001,17.500000,15.566077,42526400\n2007-01-16,17.389999,17.480000,17.260000,17.299999,15.388177,35736000\n2007-01-17,17.290001,17.709999,17.280001,17.520000,15.583868,31417600\n2007-01-18,17.480000,17.520000,17.100000,17.120001,15.228071,61438500\n2007-01-19,17.059999,17.450001,17.010000,17.270000,15.361494,28871700\n2007-01-22,17.250000,17.809999,16.770000,17.000000,15.121334,52768300\n2007-01-23,17.010000,17.309999,17.010000,17.120001,15.228071,33062000\n2007-01-24,17.110001,17.290001,17.090000,17.139999,15.245860,31268600\n2007-01-25,17.129999,17.219999,16.930000,16.980000,15.103538,35851900\n2007-01-26,17.040001,17.299999,17.030001,17.150000,15.254751,36013400\n2007-01-29,17.090000,17.299999,17.030001,17.270000,15.361494,33492500\n2007-01-30,17.320000,17.500000,17.090000,17.160000,15.263649,42647400\n2007-01-31,17.110001,17.200001,16.799999,17.160000,15.263649,39756700\n2007-02-01,17.219999,17.340000,17.030001,17.049999,15.165809,29262300\n2007-02-02,17.139999,17.440001,17.110001,17.420000,15.494920,41177800\n2007-02-05,17.350000,17.430000,17.080000,17.160000,15.263649,28521100\n2007-02-06,17.129999,17.190001,16.860001,17.020000,15.139127,31442200\n2007-02-07,17.120001,17.120001,16.850000,16.910000,15.041280,45225900\n2007-02-08,16.870001,16.920000,16.660000,16.709999,14.863382,45789500\n2007-02-09,16.790001,16.940001,16.540001,16.700001,14.854488,41419200\n2007-02-12,16.650000,16.709999,16.510000,16.650000,14.810013,31935900\n2007-02-13,16.709999,16.709999,16.530001,16.620001,14.783325,28212500\n2007-02-14,16.740000,16.940001,16.680000,16.770000,14.916751,42296700\n2007-02-15,16.840000,16.920000,16.680000,16.910000,15.041280,33887400\n2007-02-16,16.889999,16.980000,16.700001,16.700001,14.854488,34121000\n2007-02-20,16.690001,16.980000,16.570000,16.980000,15.103538,31925200\n2007-02-21,16.969999,17.280001,16.950001,17.200001,15.299232,50679300\n2007-02-22,17.260000,17.299999,17.010000,17.270000,15.361494,32971700\n2007-02-23,17.240000,17.260000,16.709999,16.820000,14.961226,54223900\n2007-02-26,16.910000,17.020000,16.000000,16.820000,14.961226,32784400\n2007-02-27,16.650000,16.799999,16.290001,16.290001,14.489797,39847100\n2007-02-28,16.370001,16.840000,16.309999,16.430000,14.614326,47578000\n2007-03-01,16.110001,17.040001,15.970000,16.770000,14.916751,81590400\n2007-03-02,16.629999,16.889999,16.530001,16.709999,14.863382,37306400\n2007-03-05,16.520000,17.000000,16.340000,16.370001,14.560957,34056700\n2007-03-06,16.520000,16.920000,16.490000,16.879999,15.014593,38263800\n2007-03-07,16.770000,16.850000,16.459999,16.490000,14.667691,30652900\n2007-03-08,16.700001,16.920000,16.629999,16.690001,14.845591,30462200\n2007-03-09,16.809999,16.950001,16.570000,16.629999,14.792220,24208200\n2007-03-12,16.610001,17.090000,16.600000,17.070000,15.183599,30612500\n2007-03-13,16.930000,17.209999,16.650000,16.650000,14.810013,31390600\n2007-03-14,16.740000,16.940001,16.660000,16.879999,15.014593,33735600\n2007-03-15,16.850000,16.940001,16.650000,16.719999,14.872277,24015100\n2007-03-16,16.709999,16.850000,16.620001,16.700001,14.854488,34226000\n2007-03-19,16.830000,17.230000,16.830000,17.180000,15.281442,29509600\n2007-03-20,17.250000,17.700001,17.139999,17.549999,15.610557,65763900\n2007-03-21,18.309999,18.389999,17.780001,18.170000,16.162039,95212000\n2007-03-22,18.010000,18.549999,17.950001,18.490000,16.446674,49522300\n2007-03-23,18.459999,18.590000,18.180000,18.240000,16.224300,34168200\n2007-03-26,18.219999,18.430000,18.020000,18.389999,16.357729,50457200\n2007-03-27,18.350000,18.500000,18.350000,18.490000,16.446674,33079800\n2007-03-28,18.340000,18.500000,18.150000,18.170000,16.162039,33674900\n2007-03-29,18.330000,18.330000,17.950001,18.160000,16.153137,28826400\n2007-03-30,18.180000,18.270000,17.889999,18.129999,16.126463,20829000\n2007-04-02,18.080000,18.180000,17.990000,18.139999,16.135351,20713000\n2007-04-03,18.230000,18.469999,18.170000,18.360001,16.331043,32084400\n2007-04-04,18.350000,18.570000,18.330000,18.559999,16.508934,23413200\n2007-04-05,18.500000,18.670000,18.389999,18.670000,16.606781,21896000\n2007-04-09,18.660000,18.700001,18.540001,18.570000,16.517828,19737500\n2007-04-10,18.780001,18.879999,18.680000,18.850000,16.766890,24388700\n2007-04-11,18.900000,18.910000,18.459999,18.590000,16.535616,29857300\n2007-04-12,18.570000,18.709999,18.440001,18.700001,16.633465,22695500\n2007-04-13,18.790001,18.850000,18.459999,18.629999,16.571207,32228500\n2007-04-16,18.680000,18.950001,18.660000,18.900000,16.811367,26629500\n2007-04-17,18.799999,19.000000,18.799999,18.889999,16.802469,26270500\n2007-04-18,18.799999,18.879999,18.700001,18.730000,16.660147,31580800\n2007-04-19,18.549999,18.850000,18.549999,18.760000,16.686838,31511200\n2007-04-20,18.980000,19.059999,18.820000,19.000000,16.900314,37574200\n2007-04-23,18.969999,19.090000,18.900000,18.940001,16.846943,24752500\n2007-04-24,19.040001,19.049999,18.750000,18.820000,16.740206,21191800\n2007-04-25,18.889999,18.990000,18.700001,18.900000,16.811367,24759100\n2007-04-26,18.770000,19.000000,18.760000,18.950001,16.855841,16645600\n2007-04-27,18.959999,19.290001,18.879999,19.100000,16.989258,25063000\n2007-04-30,19.100000,19.150000,18.799999,18.799999,16.722418,27161900\n2007-05-01,18.750000,18.820000,18.549999,18.590000,16.535616,33335900\n2007-05-02,18.690001,18.980000,18.610001,18.860001,16.775787,22342300\n2007-05-03,18.910000,19.040001,18.799999,19.020000,16.918100,18260900\n2007-05-04,19.040001,19.049999,18.770000,19.030001,16.926996,24433600\n2007-05-07,19.020000,19.150000,18.990000,19.049999,16.944784,16307300\n2007-05-08,18.930000,19.040001,18.879999,18.950001,16.855841,17168600\n2007-05-09,18.910000,18.910000,18.570000,18.830000,16.749105,22497800\n2007-05-10,18.690001,18.910000,18.480000,18.490000,16.446674,30821500\n2007-05-11,18.600000,19.040001,18.520000,18.980000,16.882523,30915000\n2007-05-14,18.940001,19.080000,18.770000,18.940001,16.846943,17521100\n2007-05-15,18.889999,19.170000,18.830000,18.840000,16.757994,23631300\n2007-05-16,18.860001,18.990000,18.650000,18.990000,16.891420,24453400\n2007-05-17,18.860001,19.110001,18.809999,19.049999,16.944784,21129600\n2007-05-18,19.070000,19.250000,19.010000,19.250000,17.122690,25941800\n2007-05-21,19.200001,19.320000,19.110001,19.320000,17.184946,18449000\n2007-05-22,19.389999,19.459999,19.200001,19.370001,17.229425,22231100\n2007-05-23,19.379999,19.469999,19.150000,19.160000,17.042633,23079900\n2007-05-24,19.139999,19.290001,18.670000,18.750000,16.677931,33424600\n2007-05-25,18.889999,19.299999,18.840000,19.240000,17.113794,24639600\n2007-05-29,19.290001,19.490000,19.190001,19.309999,17.176058,27015400\n2007-05-30,19.250000,19.420000,19.110001,19.420000,17.273901,28823700\n2007-05-31,19.389999,19.600000,19.260000,19.379999,17.238317,32588100\n2007-06-01,19.450001,19.700001,19.379999,19.660000,17.487371,25854400\n2007-06-04,19.549999,19.690001,19.389999,19.670000,17.496277,21916500\n2007-06-05,19.600000,19.639999,19.330000,19.480000,17.327269,26304900\n2007-06-06,19.370001,19.400000,19.110001,19.350000,17.211632,31111800\n2007-06-07,19.150000,19.350000,18.730000,18.730000,16.660147,39857800\n2007-06-08,18.730000,19.100000,18.730000,19.059999,16.953676,35495100\n2007-06-11,18.930000,19.320000,18.900000,19.209999,17.087105,24997700\n2007-06-12,19.209999,19.370001,18.809999,18.840000,16.757994,33775600\n2007-06-13,18.870001,19.299999,18.719999,19.299999,17.167166,29790400\n2007-06-14,19.549999,19.690001,19.490000,19.639999,17.469585,41226700\n2007-06-15,19.910000,19.950001,19.750000,19.860001,17.665270,40671500\n2007-06-18,19.920000,19.940001,19.620001,19.790001,17.603012,36639100\n2007-06-19,19.790001,19.940001,19.629999,19.879999,17.683060,24366900\n2007-06-20,19.959999,19.959999,19.520000,19.530001,17.371746,34945000\n2007-06-21,19.570000,19.730000,19.459999,19.680000,17.505167,27977300\n2007-06-22,19.600000,19.650000,19.389999,19.389999,17.247210,39685600\n2007-06-25,19.450001,19.660000,19.209999,19.480000,17.327269,28377000\n2007-06-26,19.620001,19.680000,19.020000,19.160000,17.042633,49101000\n2007-06-27,19.320000,19.770000,19.270000,19.690001,17.514059,76122400\n2007-06-28,19.620001,20.059999,19.610001,19.850000,17.656380,46529500\n2007-06-29,19.950001,20.020000,19.540001,19.709999,17.531847,31480800\n2007-07-02,19.879999,19.990000,19.719999,19.920000,17.718643,23759900\n2007-07-03,19.969999,20.070000,19.900000,20.070000,17.852070,18749800\n2007-07-05,20.059999,20.500000,19.959999,20.490000,18.225649,36504600\n2007-07-06,20.450001,20.490000,20.250000,20.400000,18.145599,26765700\n2007-07-09,20.240000,20.240000,20.070000,20.160000,17.932123,27335100\n2007-07-10,20.010000,20.150000,19.700001,19.719999,17.540741,29259100\n2007-07-11,19.770000,20.000000,19.719999,19.980000,17.772017,29842800\n2007-07-12,20.049999,20.510000,19.969999,20.500000,18.234550,36005900\n2007-07-13,20.500000,20.500000,20.250000,20.400000,18.145599,23160700\n2007-07-16,20.290001,20.469999,20.170000,20.200001,17.967707,19827000\n2007-07-17,20.250000,20.469999,20.209999,20.379999,18.127810,21767500\n2007-07-18,20.200001,20.420000,20.160000,20.410000,18.154503,30676900\n2007-07-19,20.559999,20.719999,20.520000,20.600000,18.323496,29326400\n2007-07-20,20.889999,20.940001,20.379999,20.610001,18.332396,43965400\n2007-07-23,20.809999,20.910000,20.639999,20.780001,18.483604,29403500\n2007-07-24,20.780001,20.980000,20.530001,20.639999,18.359074,39526500\n2007-07-25,20.700001,20.740000,20.400000,20.580000,18.305704,31017700\n2007-07-26,20.209999,20.459999,19.740000,20.010000,17.798698,41746500\n2007-07-27,20.000000,20.219999,19.600000,19.620001,17.451792,32531300\n2007-07-30,19.559999,19.670000,19.340000,19.580000,17.416220,21879400\n2007-07-31,19.790001,19.820000,19.110001,19.120001,17.007046,35952300\n2007-08-01,18.930000,19.820000,18.830000,19.790001,17.603012,54801800\n2007-08-02,19.760000,20.209999,19.670000,20.090000,17.869858,31437400\n2007-08-03,20.090000,20.190001,19.660000,19.660000,17.487371,35123900\n2007-08-06,19.820000,20.100000,19.730000,20.080000,17.860966,29746300\n2007-08-07,19.860001,20.080000,19.500000,19.680000,17.505167,34504100\n2007-08-08,19.959999,20.209999,19.799999,20.200001,17.967707,26724900\n2007-08-09,19.940001,20.299999,19.870001,20.090000,17.869858,33581200\n2007-08-10,19.750000,20.250000,19.670000,19.990000,17.780905,36769100\n2007-08-13,19.930000,19.959999,19.650000,19.719999,17.540741,22088400\n2007-08-14,19.799999,19.809999,19.320000,19.350000,17.211632,22266300\n2007-08-15,19.250000,19.709999,19.129999,19.180000,17.060417,27172500\n2007-08-16,19.110001,19.480000,18.809999,19.139999,17.024843,42493800\n2007-08-17,19.309999,19.549999,19.010000,19.350000,17.211632,36236800\n2007-08-20,19.250000,19.410000,18.950001,19.110001,16.998154,23960800\n2007-08-21,18.959999,19.340000,18.959999,19.270000,17.140474,23766700\n2007-08-22,19.389999,19.420000,19.070000,19.320000,17.184946,23664200\n2007-08-23,19.379999,19.690001,19.219999,19.370001,17.229425,31203800\n2007-08-24,19.299999,19.969999,19.299999,19.940001,17.736431,26753000\n2007-08-27,19.950001,20.020000,19.750000,19.860001,17.665270,18113200\n2007-08-28,19.799999,19.860001,19.330000,19.360001,17.220533,21875400\n2007-08-29,19.410000,20.150000,19.370001,20.129999,17.905437,30989600\n2007-08-30,19.959999,20.420000,19.809999,20.209999,17.976595,30459800\n2007-08-31,20.430000,20.480000,20.150000,20.280001,18.038860,24050700\n2007-09-04,20.240000,20.879999,20.200001,20.719999,18.430235,36903900\n2007-09-05,20.490000,20.850000,20.459999,20.730000,18.439133,30545000\n2007-09-06,20.719999,20.740000,20.330000,20.540001,18.270130,26360100\n2007-09-07,20.219999,20.400000,19.969999,20.160000,17.932123,29191800\n2007-09-10,20.340000,20.459999,19.980000,20.170000,17.941019,25314200\n2007-09-11,20.230000,20.520000,20.150000,20.459999,18.198963,20869100\n2007-09-12,20.350000,20.620001,20.299999,20.540001,18.270130,30815500\n2007-09-13,20.700001,20.700001,20.340000,20.450001,18.190079,24506800\n2007-09-14,20.389999,20.420000,20.010000,20.070000,17.852070,35461300\n2007-09-17,19.959999,20.230000,19.879999,20.020000,17.807596,23329200\n2007-09-18,20.080000,20.730000,20.049999,20.730000,18.439133,28759700\n2007-09-19,20.940001,21.129999,20.610001,20.840000,18.536980,46209900\n2007-09-20,20.820000,21.309999,20.629999,21.040001,18.714876,56499400\n2007-09-21,21.570000,22.170000,21.040001,21.980000,19.550995,95941900\n2007-09-24,22.000000,22.120001,21.549999,21.790001,19.381990,37448700\n2007-09-25,21.620001,21.980000,21.500000,21.940001,19.515411,30826800\n2007-09-26,22.010000,22.020000,21.500000,21.770000,19.364204,32477400\n2007-09-27,21.840000,21.879999,21.530001,21.629999,19.239668,21078400\n2007-09-28,21.660000,21.830000,21.559999,21.650000,19.257460,20381400\n2007-10-01,21.639999,21.990000,21.610001,21.969999,19.542099,23641200\n2007-10-02,21.980000,21.980000,21.709999,21.850000,19.435360,24202300\n2007-10-03,21.790001,21.879999,21.450001,21.570000,19.186308,25149500\n2007-10-04,21.650000,21.790001,21.510000,21.760000,19.355309,18636800\n2007-10-05,21.860001,22.320000,21.809999,22.180000,19.728893,31341400\n2007-10-08,22.049999,22.549999,22.030001,22.510000,20.022425,23281300\n2007-10-09,22.540001,22.680000,22.360001,22.580000,20.084688,24543300\n2007-10-10,22.590000,22.950001,22.530001,22.920000,20.387114,32204900\n2007-10-11,22.950001,23.000000,22.389999,22.459999,19.977953,35055400\n2007-10-12,22.400000,22.650000,22.110001,22.440001,19.960167,39710600\n2007-10-15,22.549999,22.580000,21.820000,22.070000,19.631050,34244900\n2007-10-16,22.000000,22.059999,21.709999,21.750000,19.346409,31324300\n2007-10-17,21.950001,21.950001,21.139999,21.490000,19.115147,42188200\n2007-10-18,21.490000,21.580000,21.110001,21.430000,19.061775,32349900\n2007-10-19,21.430000,21.469999,20.670000,20.750000,18.456926,40513300\n2007-10-22,20.600000,21.340000,20.510000,21.200001,18.857189,31102900\n2007-10-23,21.400000,21.490000,21.120001,21.450001,19.079563,30083700\n2007-10-24,21.260000,21.350000,20.850000,21.180000,18.839401,31753500\n2007-10-25,21.330000,21.450001,20.780001,21.000000,18.679295,40656800\n2007-10-26,21.320000,21.350000,20.990000,21.350000,18.990618,31368700\n2007-10-29,21.490000,21.820000,21.299999,21.770000,19.364204,29398500\n2007-10-30,21.650000,21.740000,21.480000,21.629999,19.239668,25714700\n2007-10-31,21.639999,22.240000,21.629999,22.170000,19.719995,31540300\n2007-11-01,22.000000,22.190001,21.750000,21.760000,19.355309,34306900\n2007-11-02,21.809999,22.100000,21.680000,22.030001,19.595470,30857000\n2007-11-05,21.830000,22.209999,21.760000,22.070000,19.631050,26496300\n2007-11-06,22.530001,22.889999,22.340000,22.830000,20.307064,34111500\n2007-11-07,22.500000,22.690001,22.070000,22.100000,19.657726,38119400\n2007-11-08,21.900000,22.049999,19.820000,20.350000,18.101126,94813800\n2007-11-09,19.930000,20.070000,19.320000,19.360001,17.220533,77224300\n2007-11-12,19.250000,19.920000,19.059999,19.440001,17.291693,55312900\n2007-11-13,19.799999,20.530001,19.440001,20.520000,18.252337,48238200\n2007-11-14,20.830000,20.930000,19.990000,20.180000,17.949915,47248500\n2007-11-15,19.920000,20.620001,19.719999,20.420000,18.163393,54927000\n2007-11-16,20.420000,21.059999,20.190001,20.799999,18.501396,44728400\n2007-11-19,20.650000,20.879999,20.320000,20.530001,18.261240,29048500\n2007-11-20,20.440001,20.940001,20.230000,20.690001,18.403553,34611400\n2007-11-21,20.250000,20.629999,20.020000,20.209999,17.976595,29401200\n2007-11-23,20.240000,20.430000,20.059999,20.309999,18.065548,11207000\n2007-11-26,20.379999,20.500000,19.690001,19.700001,17.522953,26680800\n2007-11-27,19.750000,20.180000,19.500000,19.889999,17.691961,33108300\n2007-11-28,20.080000,20.620001,20.010000,20.510000,18.243450,28537700\n2007-11-29,20.480000,20.690001,20.309999,20.480000,18.216757,25080700\n2007-11-30,20.780001,20.780001,19.780001,20.180000,17.949915,47957900\n2007-12-03,20.230000,20.459999,20.100000,20.240000,18.003281,36709300\n2007-12-04,19.750000,20.190001,19.680000,20.030001,17.816490,33425000\n2007-12-05,20.219999,21.459999,20.190001,21.219999,18.874983,56410100\n2007-12-06,21.100000,21.450001,20.940001,21.420000,19.052879,29484300\n2007-12-07,21.500000,21.540001,21.059999,21.139999,18.803823,24556300\n2007-12-10,21.290001,21.690001,21.230000,21.639999,19.248568,25332600\n2007-12-11,21.700001,21.700001,21.010000,21.070000,18.741556,30365600\n2007-12-12,21.410000,21.809999,21.059999,21.370001,19.008400,39807900\n2007-12-13,21.340000,21.770000,21.260000,21.610001,19.221884,30334600\n2007-12-14,21.360001,21.440001,21.120001,21.200001,18.857189,26260100\n2007-12-17,21.150000,21.160000,20.820000,20.940001,18.625925,36971900\n2007-12-18,21.090000,21.260000,20.620001,21.250000,18.901667,38884600\n2007-12-19,21.330000,21.400000,20.559999,20.760000,18.465818,68576400\n2007-12-20,22.430000,22.500000,22.040001,22.100000,19.657726,78506700\n2007-12-21,22.299999,22.760000,22.250000,22.709999,20.200323,58166900\n2007-12-24,22.639999,22.799999,22.420000,22.760000,20.244802,15394700\n2007-12-26,22.559999,23.000000,22.549999,23.000000,20.458273,24286900\n2007-12-27,23.049999,23.309999,22.910000,23.040001,20.493856,34093100\n2007-12-28,23.110001,23.290001,22.900000,22.969999,20.431585,21955900\n2007-12-31,22.690001,22.959999,22.500000,22.580000,20.084688,20004400\n2008-01-02,22.549999,22.820000,22.379999,22.490000,20.004639,42775700\n2008-01-03,22.430000,23.110001,22.430000,23.110001,20.556120,42045400\n2008-01-04,22.770000,22.879999,21.790001,22.030001,19.595470,44738600\n2008-01-07,21.959999,22.480000,21.790001,22.250000,19.791159,40045600\n2008-01-08,22.240000,22.320000,21.139999,21.150000,18.812716,43551600\n2008-01-09,21.340000,21.690001,21.150000,21.610001,19.221884,47973000\n2008-01-10,21.459999,21.799999,21.070000,21.680000,19.284149,42107400\n2008-01-11,21.530001,21.690001,21.059999,21.100000,18.768242,46251400\n2008-01-14,21.440001,22.120001,21.100000,22.059999,19.622150,48826100\n2008-01-15,21.760000,22.049999,21.299999,21.309999,18.955034,39579500\n2008-01-16,21.030001,22.330000,20.850000,21.920000,19.497629,76869400\n2008-01-17,21.900000,21.950001,21.299999,21.410000,19.043985,52783800\n2008-01-18,21.350000,21.830000,21.170000,21.580000,19.195200,51486500\n2008-01-22,20.280001,20.790001,19.680000,20.219999,17.985491,66962800\n2008-01-23,19.580000,20.680000,19.520000,20.610001,18.332396,56349500\n2008-01-24,20.600000,20.969999,20.150000,20.610001,18.332396,43764900\n2008-01-25,21.000000,21.080000,20.219999,20.280001,18.038860,42303500\n2008-01-28,20.129999,20.400000,20.010000,20.260000,18.021072,29189600\n2008-01-29,20.230000,20.280001,19.690001,20.070000,17.852070,35571800\n2008-01-30,20.020000,20.600000,19.809999,20.270000,18.029961,42369000\n2008-01-31,19.950001,20.730000,19.879999,20.549999,18.279026,52510400\n2008-02-01,20.780001,20.780001,20.219999,20.680000,18.394657,41937100\n2008-02-04,20.680000,20.680000,20.150000,20.200001,17.967707,26668700\n2008-02-05,19.780001,19.879999,19.209999,19.260000,17.131584,55269500\n2008-02-06,19.540001,20.090000,19.400000,19.680000,17.505167,50356200\n2008-02-07,19.260000,19.600000,19.030001,19.200001,17.078215,59196500\n2008-02-08,19.160000,19.389999,18.940001,19.190001,17.069313,38131800\n2008-02-11,19.209999,19.570000,19.170000,19.440001,17.291693,44115100\n2008-02-12,19.549999,19.889999,19.299999,19.410000,17.265007,36472700\n2008-02-13,19.700001,19.930000,19.459999,19.660000,17.487371,33598000\n2008-02-14,19.650000,19.719999,19.000000,19.090000,16.980373,36483300\n2008-02-15,19.020000,19.219999,18.940001,19.090000,16.980373,25070700\n2008-02-19,19.309999,19.400000,18.990000,19.020000,16.918100,34260000\n2008-02-20,19.020000,19.500000,18.980000,19.430000,17.282789,36662000\n2008-02-21,19.490000,19.600000,18.809999,18.889999,16.802469,55583400\n2008-02-22,18.930000,19.020000,18.180000,18.900000,16.811367,61623500\n2008-02-25,18.850000,19.120001,18.610001,18.969999,16.873629,56319700\n2008-02-26,18.900000,19.350000,18.870001,19.209999,17.087105,48428800\n2008-02-27,19.120001,19.450001,18.809999,19.190001,17.069313,37850700\n2008-02-28,19.100000,19.600000,18.920000,19.410000,17.265007,42274100\n2008-02-29,19.180000,19.190001,18.730000,18.799999,16.722418,43803100\n2008-03-03,18.760000,19.180000,18.660000,18.950001,16.855841,41836600\n2008-03-04,18.820000,18.980000,18.200001,18.440001,16.402203,71509100\n2008-03-05,18.709999,18.980000,18.620001,18.799999,16.722418,58178200\n2008-03-06,19.090000,19.600000,19.070000,19.230000,17.104891,69112300\n2008-03-07,19.129999,19.549999,18.870001,19.000000,16.900314,46510200\n2008-03-10,19.170000,19.500000,19.080000,19.280001,17.149372,36576100\n2008-03-11,19.650000,19.950001,19.100000,19.510000,17.353945,48217800\n2008-03-12,19.580000,20.170000,19.430000,19.680000,17.505167,48200300\n2008-03-13,19.570000,19.990000,19.360001,19.840000,17.647490,43684900\n2008-03-14,20.010000,20.049999,19.270000,19.520000,17.362844,43595500\n2008-03-17,18.930000,19.490000,18.930000,19.280001,17.149372,41039200\n2008-03-18,19.639999,20.049999,19.389999,20.020000,17.807596,38445300\n2008-03-19,20.260000,20.490000,19.549999,19.559999,17.398432,43142100\n2008-03-20,19.860001,20.170000,19.559999,20.080000,17.860966,45441300\n2008-03-24,20.420000,20.910000,20.370001,20.770000,18.474716,34487700\n2008-03-25,21.030001,21.160000,20.719999,21.080000,18.750448,43212600\n2008-03-26,21.290001,21.299999,20.629999,20.940001,18.625925,85438700\n2008-03-27,19.450001,19.700001,19.250000,19.430000,17.282789,117082800\n2008-03-28,19.549999,19.860001,19.320000,19.370001,17.229425,38130200\n2008-03-31,19.480000,19.629999,19.389999,19.559999,17.398432,32073900\n2008-04-01,19.910000,20.420000,19.719999,20.410000,18.154503,44724400\n2008-04-02,20.410000,20.760000,20.260000,20.490000,18.225649,32243000\n2008-04-03,20.400000,20.700001,20.270000,20.680000,18.394657,36848900\n2008-04-04,20.610001,20.690001,20.309999,20.350000,18.101126,53991200\n2008-04-07,20.450001,20.559999,20.200001,20.230000,17.994385,24030900\n2008-04-08,20.030001,20.150000,19.840000,19.920000,17.718643,35278100\n2008-04-09,19.920000,20.260000,19.870001,20.219999,17.985491,31565400\n2008-04-10,20.190001,20.799999,20.160000,20.450001,18.190079,49075300\n2008-04-11,20.090000,20.139999,19.809999,19.840000,17.647490,28955200\n2008-04-14,19.830000,20.150000,19.799999,19.860001,17.665270,21577300\n2008-04-15,19.950001,20.240000,19.930000,20.180000,17.949915,24994100\n2008-04-16,20.299999,20.940001,20.290001,20.770000,18.474716,47112400\n2008-04-17,20.830000,21.219999,20.690001,21.200001,18.857189,37481600\n2008-04-18,21.540001,21.930000,21.230000,21.799999,19.390882,47169800\n2008-04-21,21.639999,21.910000,21.410000,21.760000,19.355309,26095700\n2008-04-22,21.540001,21.879999,21.500000,21.780001,19.373096,29861500\n2008-04-23,21.790001,21.959999,21.690001,21.910000,19.488733,25501200\n2008-04-24,21.920000,22.280001,21.540001,22.010000,19.577681,35155700\n2008-04-25,21.959999,21.980000,21.250000,21.590000,19.204096,28692400\n2008-04-28,21.580000,21.799999,21.379999,21.510000,19.132929,24818500\n2008-04-29,21.410000,21.879999,21.330000,21.760000,19.355309,25801300\n2008-04-30,21.490000,21.580000,20.799999,20.850000,18.545872,41907200\n2008-05-01,21.010000,21.850000,20.959999,21.820000,19.408674,35781100\n2008-05-02,22.059999,22.070000,21.290001,21.510000,19.132929,36754700\n2008-05-05,21.500000,21.680000,21.340000,21.549999,19.168516,30525500\n2008-05-06,21.410000,21.770000,21.250000,21.500000,19.124039,32882300\n2008-05-07,21.430000,21.500000,20.910000,20.990000,18.670399,37811800\n2008-05-08,21.150000,21.280001,21.000000,21.100000,18.768242,26097900\n2008-05-09,20.840000,21.100000,20.700001,21.000000,18.679295,21073100\n2008-05-12,21.129999,21.629999,21.080000,21.510000,19.132929,24786200\n2008-05-13,21.549999,21.719999,21.309999,21.670000,19.275249,20443900\n2008-05-14,21.730000,22.139999,21.600000,21.780001,19.373096,26521200\n2008-05-15,21.620001,21.910000,21.540001,21.870001,19.453152,21660300\n2008-05-16,21.900000,21.969999,21.410000,21.680000,19.284149,33779900\n2008-05-19,22.040001,22.750000,21.870001,22.430000,19.951263,41541600\n2008-05-20,22.240000,22.440001,22.049999,22.160000,19.711105,25913800\n2008-05-21,22.240000,22.709999,21.940001,22.010000,19.577681,30644300\n2008-05-22,22.070000,22.469999,22.059999,22.309999,19.844522,24186400\n2008-05-23,22.290001,22.299999,21.889999,21.980000,19.550995,19994200\n2008-05-27,22.049999,22.750000,22.020000,22.660000,20.155853,29198000\n2008-05-28,22.790001,22.950001,22.639999,22.790001,20.271486,26752100\n2008-05-29,22.840000,23.000000,22.480000,22.790001,20.271486,32460500\n2008-05-30,22.809999,22.940001,22.680000,22.840000,20.315952,25258000\n2008-06-02,22.770000,22.770000,22.350000,22.680000,20.173635,31834700\n2008-06-03,22.740000,23.570000,22.700001,22.910000,20.378220,50881500\n2008-06-04,22.709999,23.150000,22.709999,22.910000,20.378220,35156400\n2008-06-05,22.850000,23.209999,22.709999,23.180000,20.618387,31050400\n2008-06-06,23.000000,23.059999,22.459999,22.459999,19.977953,41297500\n2008-06-09,22.639999,22.670000,22.250000,22.549999,20.058004,26286600\n2008-06-10,22.309999,22.670000,22.120001,22.500000,20.013533,28076900\n2008-06-11,22.559999,22.780001,22.049999,22.070000,19.631050,28994300\n2008-06-12,22.129999,22.260000,21.730000,21.860001,19.444256,35103700\n2008-06-13,22.090000,22.660000,21.950001,22.629999,20.129166,31789500\n2008-06-16,22.490000,23.000000,22.330000,22.940001,20.404907,32562000\n2008-06-17,23.020000,23.020000,22.500000,22.530001,20.040211,27281700\n2008-06-18,22.350000,22.670000,22.219999,22.440001,19.960167,23148400\n2008-06-19,22.330000,23.000000,22.270000,22.700001,20.191431,41127200\n2008-06-20,22.639999,22.680000,21.910000,22.100000,19.657726,52614700\n2008-06-23,22.309999,22.410000,21.830000,22.080000,19.639942,32593700\n2008-06-24,21.940001,22.440001,21.820000,22.230000,19.773365,28450200\n2008-06-25,22.410000,22.850000,22.190001,22.549999,20.058004,61229800\n2008-06-26,21.680000,22.219999,21.420000,21.420000,19.052879,70022700\n2008-06-27,21.389999,21.709999,20.969999,21.290001,18.937246,40295600\n2008-06-30,21.080000,21.350000,21.000000,21.000000,18.679295,36317800\n2008-07-01,20.790001,21.340000,20.650000,21.309999,18.955034,47419800\n2008-07-02,21.270000,21.400000,20.799999,20.820000,18.519186,32334200\n2008-07-03,21.040001,21.190001,20.690001,20.730000,18.439133,21598100\n2008-07-07,20.780001,21.330000,20.610001,21.090000,18.759346,34574700\n2008-07-08,21.090000,21.600000,20.969999,21.580000,19.195200,38512800\n2008-07-09,21.480000,21.610001,21.070000,21.110001,18.777142,41640900\n2008-07-10,21.170000,21.420000,20.930000,21.290001,18.937246,31664300\n2008-07-11,21.070000,21.250000,20.700001,20.959999,18.643721,36881300\n2008-07-14,21.100000,21.190001,20.260000,20.450001,18.190079,38892700\n2008-07-15,20.250000,20.450001,19.980000,20.250000,18.012171,51034800\n2008-07-16,20.219999,20.549999,20.090000,20.440001,18.181185,37598100\n2008-07-17,20.500000,21.040001,20.370001,20.860001,18.554766,37414500\n2008-07-18,20.889999,21.250000,20.650000,21.180000,18.839401,35894400\n2008-07-21,21.200001,21.420000,21.020000,21.090000,18.759346,21452900\n2008-07-22,21.160000,21.620001,21.150000,21.590000,19.204096,32973700\n2008-07-23,21.540001,21.590000,21.139999,21.500000,19.124039,32196800\n2008-07-24,21.190001,21.389999,20.850000,20.950001,18.634823,30294300\n2008-07-25,20.969999,20.980000,20.639999,20.950001,18.634823,22856500\n2008-07-28,20.730000,21.100000,20.690001,20.719999,18.430235,20871700\n2008-07-29,20.860001,21.570000,20.840000,21.430000,19.061775,31769100\n2008-07-30,21.410000,21.450001,20.969999,21.309999,18.955034,31664400\n2008-07-31,21.059999,21.900000,20.980000,21.530001,19.150728,37252500\n2008-08-01,21.580000,21.690001,21.270000,21.500000,19.124039,25008100\n2008-08-04,21.490000,21.590000,21.139999,21.250000,18.901667,26000600\n2008-08-05,21.420000,22.219999,21.309999,22.209999,19.755575,42677200\n2008-08-06,22.080000,22.910000,22.030001,22.860001,20.333748,42928500\n2008-08-07,22.629999,23.020000,22.459999,22.750000,20.235910,38857800\n2008-08-08,22.750000,23.620001,22.639999,23.520000,20.920809,47770000\n2008-08-11,23.410000,23.520000,22.920000,23.080000,20.529430,33999200\n2008-08-12,22.980000,23.010000,22.680000,22.900000,20.369324,29979400\n2008-08-13,22.790001,23.150000,22.570000,23.010000,20.467171,26117000\n2008-08-14,22.780001,23.400000,22.750000,23.190001,20.627277,32146100\n2008-08-15,23.330000,23.450001,22.920000,23.059999,20.511641,26526700\n2008-08-18,23.049999,23.230000,22.549999,22.770000,20.253693,23069400\n2008-08-19,22.680000,22.770000,22.450001,22.559999,20.066896,22491600\n2008-08-20,22.680000,22.950001,22.500000,22.660000,20.155853,21921000\n2008-08-21,22.389999,22.450001,22.160000,22.299999,19.835632,22441800\n2008-08-22,22.520000,22.820000,22.389999,22.700001,20.191431,18335600\n2008-08-25,22.540001,22.709999,22.190001,22.209999,19.755575,20109600\n2008-08-26,22.160000,22.379999,22.010000,22.150000,19.702209,16293400\n2008-08-27,22.200001,22.570000,22.129999,22.340000,19.871208,21416200\n2008-08-28,22.290001,22.730000,22.270000,22.639999,20.138060,18706100\n2008-08-29,22.400000,22.430000,21.700001,21.930000,19.506525,35278800\n2008-09-02,22.299999,22.370001,21.500000,21.549999,19.168516,43670400\n2008-09-03,21.520000,21.570000,21.010000,21.190001,18.848293,40639000\n2008-09-04,20.840000,20.889999,19.920000,19.930000,17.727537,80189500\n2008-09-05,19.719999,20.320000,19.700001,20.070000,17.852070,47196900\n2008-09-08,20.370001,20.650000,18.940001,19.260000,17.131584,93829900\n2008-09-09,19.400000,19.850000,19.020000,19.170000,17.051533,62465800\n2008-09-10,19.350000,19.400000,19.030001,19.160000,17.042633,52165600\n2008-09-11,19.030001,19.400000,18.889999,19.350000,17.211632,49981500\n2008-09-12,19.219999,19.670000,19.040001,19.610001,17.442900,39169200\n2008-09-15,19.049999,19.490000,18.920000,19.010000,16.909208,41749400\n2008-09-16,18.600000,19.049999,18.400000,18.959999,16.864735,61197300\n2008-09-17,18.690001,18.820000,18.070000,18.100000,16.099775,50033700\n2008-09-18,18.370001,18.950001,17.840000,18.750000,16.677931,76944900\n2008-09-19,20.990000,21.000000,15.000000,20.070000,17.852070,76248200\n2008-09-22,19.980000,20.760000,19.600000,19.750000,17.567429,39592900\n2008-09-23,19.820000,20.549999,19.639999,19.690001,17.514059,42062600\n2008-09-24,19.900000,20.500000,19.770000,19.950001,17.745329,32234300\n2008-09-25,20.340000,20.820000,20.209999,20.469999,18.207869,40432400\n2008-09-26,19.990000,20.850000,19.980000,20.620001,18.341290,39221800\n2008-09-29,20.340000,20.530001,18.000000,18.770000,16.695732,59105400\n2008-09-30,19.110001,20.410000,19.100000,20.309999,18.065548,51036400\n2008-10-01,20.190001,20.190001,19.549999,19.860001,17.665270,35077900\n2008-10-02,19.840000,19.990000,19.360001,19.490000,17.336161,43966500\n2008-10-03,19.670000,20.540001,19.480000,19.480000,17.327269,53659800\n2008-10-06,18.889999,19.299999,17.250000,18.299999,16.277668,79751400\n2008-10-07,18.290001,18.500000,16.780001,16.780001,14.925647,64087300\n2008-10-08,16.309999,17.629999,16.010000,16.879999,15.014593,75915900\n2008-10-09,17.219999,17.559999,16.000000,16.209999,14.418634,58118900\n2008-10-10,15.700000,17.030001,15.280000,16.680000,14.836694,96946200\n2008-10-13,17.520000,18.870001,17.040001,18.860001,16.775787,54677400\n2008-10-14,19.340000,19.440001,17.370001,17.690001,15.735088,59134200\n2008-10-15,17.400000,17.730000,15.940000,15.950000,14.187366,55101100\n2008-10-16,16.160000,16.990000,15.310000,16.990000,15.112435,70756900\n2008-10-17,16.410000,17.990000,16.209999,17.020000,15.139127,52293900\n2008-10-20,17.360001,18.160000,17.100000,18.160000,16.153137,42566000\n2008-10-21,17.900000,18.410000,17.590000,17.690001,15.735088,46932000\n2008-10-22,17.250000,17.500000,16.610001,17.170000,15.272546,46864400\n2008-10-23,16.980000,17.469999,16.010000,16.950001,15.076857,62156400\n2008-10-24,15.710000,16.709999,15.480000,16.200001,14.409739,54151300\n2008-10-27,15.990000,16.770000,15.310000,15.770000,14.027260,62876600\n2008-10-28,16.400000,17.680000,15.570000,17.620001,15.672818,47608000\n2008-10-29,17.360001,18.370001,16.770000,17.290001,15.379282,58715900\n2008-10-30,18.129999,18.610001,17.790001,18.320000,16.295458,71484400\n2008-10-31,17.860001,18.620001,17.809999,18.290001,16.268776,55114800\n2008-11-03,18.110001,18.410000,18.040001,18.330000,16.304359,28389100\n2008-11-04,18.500000,19.000000,18.320000,18.900000,16.811367,38671300\n2008-11-05,18.650000,18.760000,17.709999,17.820000,15.850718,37384600\n2008-11-06,17.430000,17.580000,16.650000,16.850000,14.987915,54420800\n2008-11-07,17.080000,17.660000,16.969999,17.530001,15.592764,35136500\n2008-11-10,17.830000,17.840000,17.360001,17.559999,15.619448,24816800\n2008-11-11,17.379999,17.520000,16.790001,17.290001,15.379282,35681000\n2008-11-12,16.820000,17.040001,16.400000,16.469999,14.649902,44447600\n2008-11-13,16.330000,17.750000,15.630000,17.719999,15.761770,62134400\n2008-11-14,17.260000,17.790001,16.660000,16.900000,15.032383,51944100\n2008-11-17,16.610001,16.990000,16.299999,16.410000,14.596537,41318500\n2008-11-18,16.520000,17.030001,15.920000,17.020000,15.139127,55664200\n2008-11-19,16.900000,17.299999,15.970000,16.000000,14.231845,65869100\n2008-11-20,16.020000,16.760000,15.320000,15.400000,13.698148,67199300\n2008-11-21,15.440000,16.490000,15.100000,16.379999,14.569852,73239000\n2008-11-24,16.570000,16.990000,16.320000,16.639999,14.801116,75407900\n2008-11-25,16.840000,16.850000,15.720000,15.980000,14.214055,73396600\n2008-11-26,15.650000,16.250000,15.640000,16.139999,14.356373,52962900\n2008-11-28,16.100000,16.150000,15.750000,16.090000,14.311898,19899100\n2008-12-01,15.710000,16.040001,15.380000,15.470000,13.760415,51362300\n2008-12-02,15.610000,16.020000,15.260000,15.790000,14.045049,41701000\n2008-12-03,15.920000,16.150000,15.620000,16.129999,14.347474,72210200\n2008-12-04,15.820000,15.990000,15.200000,15.440000,13.733728,48105900\n2008-12-05,15.230000,16.400000,15.170000,16.320000,14.516479,57184100\n2008-12-08,16.510000,17.320000,16.350000,17.040001,15.156910,49736700\n2008-12-09,16.740000,17.670000,16.600000,16.940001,15.067964,44413400\n2008-12-10,17.139999,17.590000,16.889999,17.389999,15.468234,36795000\n2008-12-11,17.290001,17.290001,16.400000,16.459999,14.641008,36833500\n2008-12-12,16.110001,16.940001,16.070000,16.840000,14.979017,33021700\n2008-12-15,16.400000,16.639999,16.129999,16.450001,14.632113,37179300\n2008-12-16,16.610001,17.400000,16.510000,17.270000,15.361494,57317700\n2008-12-17,16.969999,17.040001,16.680000,16.740000,14.890066,38961500\n2008-12-18,16.830000,16.969999,16.340000,16.610001,14.774429,45269900\n2008-12-19,17.440001,18.160000,16.610001,17.780001,15.815137,90125800\n2008-12-22,17.790001,17.790001,17.170000,17.520000,15.583868,32738500\n2008-12-23,17.530001,17.760000,17.080000,17.299999,15.388177,26611800\n2008-12-24,17.350000,17.450001,17.180000,17.320000,15.405969,8337100\n2008-12-26,17.400000,17.459999,17.260000,17.430000,15.503815,9496000\n2008-12-29,17.320000,17.400000,17.020000,17.219999,15.317023,21226900\n2008-12-30,17.350000,17.860001,17.250000,17.830000,15.859609,24498300\n2008-12-31,17.809999,17.990000,17.680000,17.730000,15.770661,23404500\n2009-01-02,17.639999,18.480000,17.620001,18.410000,16.375513,27833600\n2009-01-05,18.190001,18.250000,17.860001,18.090000,16.090878,28309400\n2009-01-06,18.170000,18.700001,18.030001,18.389999,16.357729,29856600\n2009-01-07,18.059999,18.250000,17.480000,17.650000,15.699500,38635700\n2009-01-08,17.500000,17.670000,17.309999,17.620001,15.672818,35148700\n2009-01-09,17.709999,17.709999,17.250000,17.360001,15.441547,32028400\n2009-01-12,17.410000,17.469999,16.840000,17.049999,15.165809,34575200\n2009-01-13,17.000000,17.320000,16.910000,17.139999,15.245860,32780400\n2009-01-14,16.870001,16.920000,16.180000,16.360001,14.552058,39968400\n2009-01-15,16.330000,16.680000,15.870000,16.530001,14.703275,45102600\n2009-01-16,16.740000,17.059999,16.410000,16.910000,15.041280,38250300\n2009-01-20,16.900000,16.980000,16.049999,16.100000,14.320790,34055200\n2009-01-21,16.400000,16.920000,16.250000,16.889999,15.023487,56144800\n2009-01-22,16.430000,16.930000,16.410000,16.650000,14.810013,36650800\n2009-01-23,16.430000,17.020000,16.389999,16.780001,14.925647,34362500\n2009-01-26,16.820000,17.360001,16.780001,16.959999,15.085753,27890000\n2009-01-27,17.020000,17.430000,16.980000,17.280001,15.370392,27379200\n2009-01-28,17.709999,18.010000,17.440001,17.840000,15.868508,32607600\n2009-01-29,17.670000,17.870001,17.260000,17.590000,15.646129,27538600\n2009-01-30,17.620001,17.760000,16.790001,16.830000,14.970117,33537000\n2009-02-02,16.600000,17.100000,16.510000,16.900000,15.032383,25466300\n2009-02-03,16.850000,17.059999,16.500000,17.049999,15.165809,31190700\n2009-02-04,17.150000,17.629999,17.049999,17.209999,15.308125,26574100\n2009-02-05,16.860001,17.700001,16.740000,17.620001,15.672818,35402800\n2009-02-06,17.690001,18.070000,17.480000,17.969999,15.984132,29569000\n2009-02-09,17.950001,18.090000,17.820000,18.049999,16.055302,23314600\n2009-02-10,17.820000,18.090000,17.240000,17.580000,15.637236,44734500\n2009-02-11,17.650000,18.010000,17.570000,17.799999,15.832925,28637900\n2009-02-12,17.549999,17.610001,16.940001,17.549999,15.610557,42572500\n2009-02-13,17.510000,17.959999,17.430000,17.719999,15.761770,27489800\n2009-02-17,17.150000,17.340000,16.809999,16.959999,15.085753,41029500\n2009-02-18,17.070000,17.510000,17.000000,17.240000,15.334808,41327900\n2009-02-19,17.340000,17.370001,16.799999,16.830000,14.970117,32818200\n2009-02-20,16.639999,16.750000,16.340000,16.559999,14.729955,46460000\n2009-02-23,16.520000,16.680000,15.820000,15.860000,14.107315,32342400\n2009-02-24,15.770000,16.500000,15.750000,16.440001,14.623219,37697900\n2009-02-25,16.379999,16.570000,16.010000,16.240000,14.445322,33469700\n2009-02-26,16.370001,16.370001,15.780000,15.780000,14.036158,36230900\n2009-02-27,15.500000,15.830000,15.410000,15.540000,13.822677,52301300\n2009-03-02,15.210000,15.690000,15.140000,15.200000,13.520250,47340600\n2009-03-03,15.400000,15.450000,14.970000,15.010000,13.351249,39128500\n2009-03-04,15.400000,15.480000,14.850000,14.960000,13.306775,71256500\n2009-03-05,14.940000,15.280000,14.520000,14.530000,12.924294,67101400\n2009-03-06,14.600000,14.860000,14.140000,14.470000,12.870920,52932400\n2009-03-09,14.310000,14.700000,13.800000,13.850000,12.319440,60034700\n2009-03-10,14.170000,15.190000,14.000000,15.090000,13.422407,58945900\n2009-03-11,15.280000,15.460000,14.730000,15.340000,13.644779,46562000\n2009-03-12,15.350000,15.680000,15.080000,15.630000,13.902732,27419900\n2009-03-13,15.650000,15.700000,15.280000,15.560000,13.840466,30867300\n2009-03-16,15.540000,15.800000,14.830000,14.900000,13.253403,39883700\n2009-03-17,14.930000,15.600000,14.650000,15.400000,13.698148,52106400\n2009-03-18,15.150000,16.090000,15.070000,15.830000,14.080626,58521300\n2009-03-19,17.559999,18.090000,17.350000,17.370001,15.450447,112624400\n2009-03-20,17.500000,17.709999,17.000000,17.100000,15.210281,75071700\n2009-03-23,17.340000,18.250000,17.260000,18.250000,16.233187,46048300\n2009-03-24,17.900000,18.219999,17.700001,17.910000,15.930766,32228100\n2009-03-25,18.030001,18.340000,17.700001,18.090000,16.090878,34714200\n2009-03-26,18.250000,18.680000,18.180000,18.680000,16.615679,34216000\n2009-03-27,18.450001,18.450001,17.930000,18.010000,16.019718,34232800\n2009-03-30,17.660000,17.700001,17.250000,17.660000,15.708395,33143900\n2009-03-31,17.930000,18.389999,17.820000,18.070000,16.073092,34583400\n2009-04-01,17.860001,18.680000,17.730000,18.580000,16.526728,37135900\n2009-04-02,18.930000,19.299999,18.650000,18.820000,16.740206,46061500\n2009-04-03,18.879999,19.450001,18.870001,19.290001,17.158260,40966900\n2009-04-06,19.000000,19.110001,18.690001,19.110001,17.042324,29302100\n2009-04-07,18.790001,18.860001,18.360001,18.540001,16.534008,29049200\n2009-04-08,18.690001,18.760000,18.330000,18.570000,16.560760,25522400\n2009-04-09,18.830000,19.200001,18.790001,19.110001,17.042324,25806100\n2009-04-13,18.870001,19.230000,18.860001,19.059999,16.997742,21743200\n2009-04-14,18.770000,19.010000,18.610001,18.870001,16.828293,30604400\n2009-04-15,18.690001,18.740000,18.110001,18.590000,16.578600,28350500\n2009-04-16,18.809999,19.290001,18.580000,19.180000,17.104759,30286800\n2009-04-17,19.240000,19.450001,18.730000,19.059999,16.997742,32850100\n2009-04-20,17.760000,19.080000,17.730000,18.820000,16.783712,84059500\n2009-04-21,18.780001,19.850000,18.639999,19.530001,17.416889,66973800\n2009-04-22,19.520000,19.750000,19.090000,19.350000,17.256367,40035100\n2009-04-23,19.400000,19.709999,19.139999,19.680000,17.550663,36144600\n2009-04-24,19.750000,20.180000,19.650000,19.790001,17.648758,42970200\n2009-04-27,19.590000,20.280001,19.520000,19.770000,17.630922,29389700\n2009-04-28,19.570000,19.930000,19.510000,19.740000,17.604160,25051800\n2009-04-29,19.450001,19.799999,19.410000,19.600000,17.479309,28310800\n2009-04-30,19.750000,19.940001,19.040001,19.340000,17.247450,49416900\n2009-05-01,19.350000,19.440001,19.120001,19.340000,17.247450,20402200\n2009-05-04,19.400000,19.440001,18.959999,18.969999,16.917479,38586500\n2009-05-05,19.170000,19.190001,18.670000,19.010000,16.953148,29366500\n2009-05-06,19.150000,19.190001,18.690001,19.059999,16.997742,27110300\n2009-05-07,18.990000,19.150000,18.190001,18.420000,16.426983,54151100\n2009-05-08,18.600000,18.780001,18.120001,18.320000,16.337805,41125900\n2009-05-11,18.150000,18.830000,18.040001,18.559999,16.551844,32102300\n2009-05-12,18.639999,18.670000,18.080000,18.379999,16.391312,33700100\n2009-05-13,18.150000,18.340000,17.969999,18.070000,16.114862,29146000\n2009-05-14,18.240000,18.580000,18.100000,18.459999,16.462656,26242700\n2009-05-15,18.590000,18.740000,18.350000,18.420000,16.426983,22884500\n2009-05-18,18.690001,18.940001,18.469999,18.920000,16.872892,22953400\n2009-05-19,18.790001,19.209999,18.770000,18.969999,16.917479,23414200\n2009-05-20,19.080000,19.400000,18.879999,18.940001,16.890726,29082600\n2009-05-21,18.760000,18.830000,18.350000,18.570000,16.560760,26281200\n2009-05-22,18.580000,19.090000,18.440001,18.650000,16.632107,24378600\n2009-05-26,18.459999,19.200001,18.280001,19.070000,17.006664,28315900\n2009-05-27,18.980000,19.450001,18.910000,18.990000,16.935320,27633200\n2009-05-28,19.010000,19.370001,18.830000,19.209999,17.131508,25588900\n2009-05-29,19.280001,19.600000,19.160000,19.590000,17.470392,42625200\n2009-06-01,19.750000,20.020000,19.600000,19.920000,17.764696,31616300\n2009-06-02,19.770000,20.440001,19.770000,20.350000,18.148169,31008500\n2009-06-03,20.240000,20.510000,20.090000,20.340000,18.139250,27013500\n2009-06-04,20.340000,20.670000,20.260000,20.610001,18.380035,30251800\n2009-06-05,20.820000,20.900000,20.510000,20.709999,18.469212,26652000\n2009-06-08,20.600000,21.070000,20.530001,20.870001,18.611906,34885600\n2009-06-09,20.950001,21.200001,20.830000,20.990000,18.718916,23790000\n2009-06-10,21.059999,21.190001,20.430000,20.740000,18.495970,33270900\n2009-06-11,20.660000,21.200001,20.660000,20.940001,18.674332,26073600\n2009-06-12,20.850000,21.000000,19.469999,20.850000,18.594069,23154700\n2009-06-15,20.639999,20.650000,20.000000,20.219999,18.032232,40579100\n2009-06-16,20.180000,20.270000,19.680000,19.690001,17.559578,41410900\n2009-06-17,19.719999,20.170000,19.700001,19.940001,17.782530,33324200\n2009-06-18,20.170000,20.459999,19.980000,20.250000,18.058985,34591500\n2009-06-19,20.420000,20.920000,20.370001,20.660000,18.424618,51092900\n2009-06-22,20.420000,20.750000,19.930000,19.969999,17.809282,38852500\n2009-06-23,20.209999,20.209999,19.730000,19.870001,17.720100,39341200\n2009-06-24,20.860001,21.750000,20.780001,21.260000,18.959707,99417800\n2009-06-25,21.250000,21.709999,21.129999,21.629999,19.289665,49521000\n2009-06-26,21.540001,21.540001,21.150000,21.240000,18.941870,37033500\n2009-06-29,21.340000,21.709999,21.219999,21.500000,19.173735,28022200\n2009-06-30,21.500000,21.750000,21.280001,21.420000,19.102386,32109600\n2009-07-01,21.629999,22.000000,21.620001,21.740000,19.387772,28169700\n2009-07-02,21.330000,21.340000,20.860001,21.040001,18.763515,27417800\n2009-07-06,20.920000,21.040001,20.500000,20.670000,18.433542,37209100\n2009-07-07,20.670000,20.780001,20.120001,20.180000,17.996565,35542700\n2009-07-08,20.209999,20.790001,19.790001,20.570000,18.344360,55776800\n2009-07-09,20.540001,20.770000,20.180000,20.320000,18.121407,31907000\n2009-07-10,20.200001,20.629999,20.190001,20.490000,18.273014,22410400\n2009-07-13,20.520000,20.730000,20.120001,20.719999,18.523335,26523000\n2009-07-14,20.639999,20.719999,20.280001,20.629999,18.442869,22065800\n2009-07-15,20.820000,21.530001,20.770000,21.510000,19.229578,32308800\n2009-07-16,21.570000,21.770000,21.340000,21.639999,19.345795,24399500\n2009-07-17,21.690001,21.740000,21.400000,21.740000,19.435194,21094800\n2009-07-20,21.700001,21.830000,21.340000,21.510000,19.229578,28079300\n2009-07-21,21.969999,22.000000,21.430000,21.930000,19.605051,36397100\n2009-07-22,21.840000,21.980000,21.629999,21.750000,19.444134,26150500\n2009-07-23,21.650000,22.400000,21.590000,22.200001,19.846428,33195600\n2009-07-24,21.940001,22.480000,21.910000,22.330000,19.962652,24623700\n2009-07-27,22.290001,22.309999,21.750000,21.980000,19.649752,23778600\n2009-07-28,21.860001,22.320000,21.719999,22.240000,19.882185,26375300\n2009-07-29,22.129999,22.280001,21.830000,22.010000,19.676573,21026500\n2009-07-30,22.240000,22.469999,21.910000,22.139999,19.792793,28861800\n2009-07-31,22.160000,22.420000,22.070000,22.129999,19.783850,24391100\n2009-08-03,22.320000,22.379999,22.000000,22.299999,19.935823,24046200\n2009-08-04,22.240000,22.280001,21.680000,21.889999,19.569298,28735000\n2009-08-05,21.830000,21.850000,21.180000,21.440001,19.167002,36001800\n2009-08-06,21.420000,21.940001,21.090000,21.209999,18.961386,28036000\n2009-08-07,21.430000,21.840000,21.370001,21.430000,19.158056,25561400\n2009-08-10,21.209999,21.410000,21.030001,21.250000,18.997147,19521600\n2009-08-11,21.080000,21.410000,21.030001,21.280001,19.023964,25855600\n2009-08-12,21.299999,22.100000,21.250000,21.879999,19.560349,34000100\n2009-08-13,21.940001,22.030001,21.770000,21.990000,19.658688,25740300\n2009-08-14,21.889999,22.080000,21.660000,21.959999,19.631870,24254700\n2009-08-17,21.650000,21.750000,21.370001,21.400000,19.131245,19838400\n2009-08-18,21.450001,21.959999,21.309999,21.580000,19.292158,16120100\n2009-08-19,21.320000,21.840000,21.200001,21.780001,19.470955,22257400\n2009-08-20,21.719999,22.049999,21.610001,21.940001,19.613993,21178600\n2009-08-21,22.139999,22.139999,21.740000,22.110001,19.765968,29644200\n2009-08-24,22.129999,22.490000,22.040001,22.320000,19.953711,22218700\n2009-08-25,22.490000,22.549999,22.200001,22.230000,19.873251,30600400\n2009-08-26,22.170000,22.260000,22.000000,22.200001,19.846428,18779300\n2009-08-27,22.160000,22.209999,21.780001,22.160000,19.810667,20012300\n2009-08-28,22.299999,22.610001,22.100000,22.160000,19.810667,23965200\n2009-08-31,22.000000,22.190001,21.730000,21.879999,19.560349,26421900\n2009-09-01,21.770000,22.309999,21.670000,21.940001,19.613993,34860200\n2009-09-02,21.830000,22.030001,21.680000,21.770000,19.462015,21034500\n2009-09-03,21.570000,21.600000,21.219999,21.559999,19.274275,28597100\n2009-09-04,21.570000,22.100000,21.540001,21.969999,19.640810,17831800\n2009-09-08,22.120001,22.120001,21.770000,21.879999,19.560349,24532500\n2009-09-09,21.969999,22.580000,21.879999,22.520000,20.132498,31035100\n2009-09-10,22.570000,22.799999,22.459999,22.760000,20.347061,23557100\n2009-09-11,22.820000,22.950001,22.670000,22.860001,20.436459,22601200\n2009-09-14,22.780001,22.930000,22.600000,22.719999,20.311300,24067800\n2009-09-15,22.730000,22.879999,22.600000,22.660000,20.257660,24791100\n2009-09-16,22.600000,22.610001,21.980000,22.129999,19.783850,86377100\n2009-09-17,21.420000,21.760000,21.320000,21.520000,19.238523,92155400\n2009-09-18,21.719999,21.870001,21.570000,21.620001,19.327925,70094400\n2009-09-21,21.559999,21.820000,21.500000,21.570000,19.283215,25487400\n2009-09-22,21.590000,21.709999,21.350000,21.410000,19.140186,34159300\n2009-09-23,21.469999,21.469999,21.049999,21.129999,18.889866,40677800\n2009-09-24,21.160000,21.350000,21.059999,21.170000,18.925623,28392800\n2009-09-25,21.100000,21.200001,20.830000,20.860001,18.648493,35144400\n2009-09-28,20.870001,21.340000,20.830000,21.170000,18.925623,28379500\n2009-09-29,21.120001,21.379999,21.100000,21.120001,18.880926,23280900\n2009-09-30,21.170000,21.200001,20.650000,20.840000,18.630611,44303900\n2009-10-01,20.730000,20.750000,20.100000,20.360001,18.201500,45924800\n2009-10-02,20.250000,20.639999,20.240000,20.340000,18.183620,41680500\n2009-10-05,20.459999,20.680000,20.160000,20.389999,18.228323,34471700\n2009-10-06,20.469999,20.600000,20.299999,20.540001,18.362415,37202700\n2009-10-07,20.520000,20.950001,20.469999,20.570000,18.389233,41754000\n2009-10-08,20.650000,21.059999,20.590000,20.799999,18.594849,46644500\n2009-10-09,20.740000,21.030001,20.660000,20.740000,18.585892,39813300\n2009-10-12,20.730000,20.920000,20.600000,20.719999,18.567968,32400900\n2009-10-13,20.750000,20.980000,20.650000,20.910000,18.738234,27852300\n2009-10-14,21.170000,21.500000,21.120001,21.190001,18.989157,41225400\n2009-10-15,21.049999,21.320000,20.990000,21.320000,19.105654,30361300\n2009-10-16,21.200001,22.030001,21.180000,21.809999,19.544758,65051600\n2009-10-19,22.020000,22.490000,21.870001,22.420000,20.091404,51697400\n2009-10-20,22.230000,22.340000,21.900000,22.190001,19.885292,35900300\n2009-10-21,22.100000,22.400000,22.000000,22.030001,19.741907,31267500\n2009-10-22,21.950001,22.260000,21.830000,22.190001,19.885292,27044900\n2009-10-23,22.260000,22.469999,21.950001,22.049999,19.759830,31577900\n2009-10-26,22.129999,22.379999,21.850000,21.990000,19.706059,28175900\n2009-10-27,21.870001,22.230000,21.799999,21.870001,19.598524,28669700\n2009-10-28,21.290001,21.500000,20.870001,21.299999,19.087725,30525600\n2009-10-29,21.420000,21.469999,21.200001,21.450001,19.222153,32212000\n2009-10-30,21.320000,21.610001,21.049999,21.100000,18.908501,37101800\n2009-11-02,21.059999,21.219999,20.799999,21.090000,18.899540,27906900\n2009-11-03,21.000000,21.059999,20.650000,20.889999,18.720312,20646000\n2009-11-04,20.820000,21.200001,20.650000,20.900000,18.729277,32398300\n2009-11-05,21.180000,21.520000,21.110001,21.320000,19.105654,22058800\n2009-11-06,21.170000,21.580000,21.110001,21.420000,19.195271,22995100\n2009-11-09,21.610001,21.870001,21.500000,21.830000,19.562679,22678100\n2009-11-10,21.639999,21.879999,21.600000,21.799999,19.535795,22687100\n2009-11-11,21.830000,22.049999,21.750000,21.900000,19.625410,19488200\n2009-11-12,22.010000,22.129999,21.940001,22.040001,19.750868,24305100\n2009-11-13,22.049999,22.360001,21.950001,22.340000,20.019712,24660700\n2009-11-16,22.360001,22.889999,22.299999,22.830000,20.458818,33383000\n2009-11-17,22.709999,22.799999,22.600000,22.799999,20.431932,26126600\n2009-11-18,22.660000,22.820000,22.540001,22.799999,20.431932,14827600\n2009-11-19,22.690001,22.709999,22.230000,22.389999,20.064516,17651800\n2009-11-20,22.270000,22.389999,22.180000,22.340000,20.019712,24493900\n2009-11-23,22.580000,22.719999,22.450001,22.600000,20.252708,22713600\n2009-11-24,22.700001,22.700001,22.090000,22.139999,19.840488,24232600\n2009-11-25,22.340000,22.719999,22.200001,22.600000,20.252708,24123500\n2009-11-27,22.160000,22.299999,22.000000,22.090000,19.795675,12569100\n2009-11-30,22.010000,22.150000,21.799999,22.080000,19.786716,26291700\n2009-12-01,22.160000,22.570000,22.080000,22.440001,20.109324,28447900\n2009-12-02,22.530001,22.750000,22.410000,22.660000,20.306475,21160800\n2009-12-03,22.660000,22.910000,22.600000,22.639999,20.288553,22492500\n2009-12-04,22.809999,23.000000,22.549999,22.830000,20.458818,27814200\n2009-12-07,22.719999,22.889999,22.350000,22.480000,20.145168,24138100\n2009-12-08,22.309999,22.360001,21.889999,21.910000,19.634371,27902700\n2009-12-09,21.990000,22.020000,21.620001,21.950001,19.670216,28550400\n2009-12-10,22.330000,22.670000,22.230000,22.590000,20.243748,34877300\n2009-12-11,22.700001,22.860001,22.490000,22.780001,20.414011,26741900\n2009-12-14,22.959999,23.440001,22.910000,23.309999,20.888960,32293900\n2009-12-15,23.110001,23.459999,23.059999,23.160000,20.754543,24653700\n2009-12-16,23.350000,23.459999,23.080000,23.120001,20.718704,30037100\n2009-12-17,23.070000,23.190001,22.770000,22.879999,20.503620,35972600\n2009-12-18,24.010000,24.740000,23.980000,24.340000,21.811977,88246400\n2009-12-21,24.389999,24.570000,24.219999,24.430000,21.892643,26935500\n2009-12-22,24.510000,24.629999,24.240000,24.459999,21.919521,23847200\n2009-12-23,24.459999,24.750000,24.360001,24.730000,22.161478,19257800\n2009-12-24,24.719999,24.959999,24.670000,24.950001,22.358633,7782700\n2009-12-28,24.830000,24.990000,24.719999,24.969999,22.376558,15927500\n2009-12-29,25.010000,25.110001,24.910000,25.010000,22.412395,16214100\n2009-12-30,24.920000,25.049999,24.700001,24.930000,22.340710,18697400\n2009-12-31,24.940001,24.950001,24.480000,24.530001,21.982254,17714100\n2010-01-04,24.660000,25.190001,24.660000,24.850000,22.269018,26795000\n2010-01-05,24.719999,24.850000,24.350000,24.820000,22.242130,28669900\n2010-01-06,24.770000,24.920000,24.379999,24.459999,21.919521,24560700\n2010-01-07,24.459999,24.610001,24.080000,24.379999,21.847832,30469700\n2010-01-08,24.280001,24.750000,24.250000,24.680000,22.116669,23542400\n2010-01-11,24.690001,24.799999,24.370001,24.690001,22.125635,19002400\n2010-01-12,24.559999,24.610001,24.309999,24.559999,22.009134,26204600\n2010-01-13,24.629999,24.990000,24.549999,24.799999,22.224213,24912300\n2010-01-14,25.129999,25.580000,25.049999,25.340000,22.754000,44685200\n2010-01-15,25.469999,25.639999,24.990000,25.240000,22.664200,42296200\n2010-01-19,25.320000,25.500000,25.120001,25.330000,22.745018,22732200\n2010-01-20,25.049999,25.129999,24.510000,25.059999,22.502575,39971500\n2010-01-21,25.190001,25.540001,24.590000,24.830000,22.296047,41756100\n2010-01-22,24.940001,25.049999,24.110001,24.150000,21.685442,33681500\n2010-01-25,24.240000,24.270000,23.820000,24.030001,21.577684,26366600\n2010-01-26,23.930000,24.129999,23.700001,23.879999,21.442997,28746000\n2010-01-27,23.900000,24.049999,23.540001,23.860001,21.425037,28819300\n2010-01-28,24.080000,24.180000,23.290001,23.469999,21.074833,41245700\n2010-01-29,23.650000,23.830000,22.980000,23.059999,20.706678,49957800\n2010-02-01,23.360001,23.379999,22.860001,23.219999,20.850351,29572800\n2010-02-02,23.330000,23.850000,23.240000,23.760000,21.335239,32150600\n2010-02-03,23.750000,23.840000,23.520000,23.750000,21.326262,23101100\n2010-02-04,23.610001,23.780001,23.100000,23.110001,20.751577,33254900\n2010-02-05,23.350000,23.670000,23.070000,23.549999,21.146669,45919600\n2010-02-08,23.540001,23.650000,23.100000,23.120001,20.760561,32929200\n2010-02-09,23.469999,23.719999,23.250000,23.510000,21.110752,34084100\n2010-02-10,23.510000,23.610001,22.920000,23.110001,20.751577,40139200\n2010-02-11,23.059999,23.510000,22.830000,23.350000,20.967085,28159000\n2010-02-12,23.110001,23.500000,22.969999,23.410000,21.020958,33657700\n2010-02-16,23.690001,23.850000,23.440001,23.809999,21.380136,21582200\n2010-02-17,23.950001,24.280001,23.940001,24.180000,21.712378,26147200\n2010-02-18,24.110001,24.570000,24.059999,24.520000,22.017681,31679100\n2010-02-19,24.410000,24.540001,24.180000,24.320000,21.838091,25941000\n2010-02-22,24.590000,24.980000,24.440001,24.809999,22.278082,37081800\n2010-02-23,24.809999,24.889999,24.379999,24.480000,21.981766,25098300\n2010-02-24,24.629999,24.830000,24.459999,24.770000,22.242170,24530400\n2010-02-25,24.450001,24.900000,24.209999,24.870001,22.331961,29145200\n2010-02-26,24.959999,24.959999,24.540001,24.650000,22.134411,21048700\n2010-03-01,24.600000,24.910000,24.540001,24.740000,22.215231,19744300\n2010-03-02,24.790001,24.950001,24.520000,24.580000,22.071558,23535000\n2010-03-03,24.510000,24.690001,24.400000,24.500000,21.999725,20726400\n2010-03-04,24.469999,24.860001,24.280001,24.760000,22.233185,20925500\n2010-03-05,24.860001,25.000000,24.840000,24.950001,22.403803,19312900\n2010-03-08,24.969999,24.969999,24.680000,24.700001,22.179310,16843600\n2010-03-09,24.600000,25.100000,24.559999,24.879999,22.340944,21835800\n2010-03-10,24.790001,25.020000,24.680000,24.870001,22.331961,23095900\n2010-03-11,24.799999,25.250000,24.799999,25.139999,22.574409,24214600\n2010-03-12,25.120001,25.190001,24.730000,25.049999,22.493589,35344700\n2010-03-15,24.920000,25.379999,24.879999,25.280001,22.700123,22025300\n2010-03-16,25.379999,25.410000,24.900000,25.209999,22.637262,25478300\n2010-03-17,25.230000,25.700001,25.139999,25.469999,22.870733,30309400\n2010-03-18,25.430000,25.600000,25.270000,25.379999,22.789921,29185800\n2010-03-19,25.549999,25.730000,24.950001,25.190001,22.619307,45881000\n2010-03-22,25.190001,25.700001,25.160000,25.559999,22.951548,24945500\n2010-03-23,25.670000,26.000000,25.540001,25.990000,23.337660,25834200\n2010-03-24,25.980000,26.000000,25.700001,25.760000,23.131136,28837000\n2010-03-25,25.950001,26.250000,25.719999,26.040001,23.382563,54350900\n2010-03-26,25.700001,26.000000,25.370001,25.690001,23.068281,58562200\n2010-03-29,25.650000,25.850000,25.410000,25.570000,22.960526,28975300\n2010-03-30,25.480000,25.580000,25.219999,25.540001,22.933590,29819400\n2010-03-31,25.330000,25.790001,25.299999,25.709999,23.086243,27196400\n2010-04-01,25.780001,25.950001,25.190001,25.459999,22.861746,26562700\n2010-04-05,25.510000,25.740000,25.350000,25.580000,22.969511,19390200\n2010-04-06,25.370001,25.940001,25.299999,25.830000,23.193996,26937600\n2010-04-07,25.760000,25.990000,25.750000,25.910000,23.265827,29833200\n2010-04-08,25.879999,26.080000,25.719999,25.830000,23.193996,28266100\n2010-04-09,25.799999,26.139999,25.650000,26.129999,23.463377,19663700\n2010-04-12,26.059999,26.280001,25.850000,26.200001,23.571341,24773300\n2010-04-13,26.010000,26.629999,26.000000,26.350000,23.706291,33933000\n2010-04-14,26.340000,26.500000,26.200001,26.379999,23.733274,27920000\n2010-04-15,26.290001,26.400000,26.139999,26.200001,23.571341,23828200\n2010-04-16,26.090000,26.370001,25.910000,25.950001,23.346418,42289300\n2010-04-19,25.980000,26.299999,25.870001,26.190001,23.562346,27078800\n2010-04-20,26.379999,26.410000,26.020000,26.150000,23.526352,23703400\n2010-04-21,26.120001,26.330000,25.980000,26.290001,23.652308,24276800\n2010-04-22,26.139999,26.309999,25.860001,26.240000,23.607321,27275800\n2010-04-23,26.170000,26.520000,26.160000,26.480000,23.823246,27478900\n2010-04-26,26.500000,26.610001,26.250000,26.469999,23.814247,20080500\n2010-04-27,26.340000,26.520000,25.900000,25.980000,23.373409,26235700\n2010-04-28,26.020000,26.110001,25.780001,25.860001,23.265450,31820300\n2010-04-29,25.990000,26.139999,25.709999,25.969999,23.364410,18620100\n2010-04-30,26.070000,26.100000,25.690001,25.870001,23.274448,25567400\n2010-05-03,26.049999,26.150000,25.709999,26.010000,23.400402,19357000\n2010-05-04,25.580000,25.670000,24.709999,24.969999,22.464743,48382700\n2010-05-05,24.850000,25.120001,24.629999,24.940001,22.437754,33663600\n2010-05-06,24.860001,24.969999,22.200001,23.910000,21.511091,56242000\n2010-05-07,23.920000,24.250000,23.110001,23.410000,21.061262,63592900\n2010-05-10,24.030001,25.129999,23.990000,24.389999,21.942932,38947200\n2010-05-11,24.250000,24.610001,24.110001,24.190001,21.762999,29469800\n2010-05-12,24.209999,24.700001,24.190001,24.600000,22.131866,27116300\n2010-05-13,24.420000,24.549999,24.200001,24.240000,21.807985,22780300\n2010-05-14,24.100000,24.120001,23.540001,23.780001,21.394142,28736600\n2010-05-17,23.889999,23.889999,23.330000,23.740000,21.358147,22401200\n2010-05-18,23.799999,23.950001,23.309999,23.430000,21.079250,29926200\n2010-05-19,23.219999,23.500000,23.020000,23.190001,20.863335,29806500\n2010-05-20,22.950001,23.030001,22.340000,22.350000,20.107609,40313300\n2010-05-21,21.620001,22.360001,21.549999,22.160000,19.936666,63119700\n2010-05-24,22.040001,22.670000,21.850000,22.280001,20.044636,32817400\n2010-05-25,21.770000,22.200001,21.629999,22.200001,19.972660,41173900\n2010-05-26,22.320000,22.620001,21.750000,21.910000,19.711750,43317600\n2010-05-27,22.350000,22.610001,22.270000,22.580000,20.314533,29881400\n2010-05-28,22.480000,22.850000,22.280001,22.570000,20.305536,35878200\n2010-06-01,22.420000,22.840000,22.150000,22.200001,19.972660,32336200\n2010-06-02,22.299999,22.670000,21.900000,22.639999,20.368515,28371600\n2010-06-03,22.709999,22.950001,22.540001,22.840000,20.548445,28583600\n2010-06-04,22.540001,22.959999,22.040001,22.129999,19.909679,35094700\n2010-06-07,22.129999,22.290001,21.690001,21.700001,19.522821,25656900\n2010-06-08,21.650000,21.780001,21.299999,21.760000,19.576809,29552600\n2010-06-09,21.770000,22.090000,21.480000,21.540001,19.378881,22198300\n2010-06-10,21.879999,22.240000,21.730000,22.200001,19.972660,25018200\n2010-06-11,22.030001,22.750000,21.990000,22.690001,20.413498,30179600\n2010-06-14,23.020000,23.080000,22.660000,22.690001,20.413498,22318600\n2010-06-15,22.790001,23.240000,22.660000,23.200001,20.872334,24304500\n2010-06-16,23.059999,23.219999,22.879999,23.180000,20.854338,20702000\n2010-06-17,23.110001,23.180000,22.920000,23.070000,20.755371,22376600\n2010-06-18,23.260000,23.260000,22.969999,23.200001,20.872334,29538900\n2010-06-21,23.370001,23.660000,22.980000,23.090000,20.773371,19526100\n2010-06-22,23.240000,23.490000,22.879999,22.889999,20.593435,19107800\n2010-06-23,22.969999,23.010000,22.629999,22.680000,20.404497,23533600\n2010-06-24,22.490000,22.700001,22.139999,22.219999,19.990658,30313500\n2010-06-25,23.139999,23.250000,22.559999,22.660000,20.386507,62583800\n2010-06-28,22.840000,22.850000,22.389999,22.450001,20.197578,24643100\n2010-06-29,22.020000,22.100000,21.580000,21.750000,19.567808,34229000\n2010-06-30,21.639999,21.959999,21.389999,21.459999,19.306902,35301600\n2010-07-01,21.459999,21.680000,21.240000,21.549999,19.387875,38318200\n2010-07-02,21.709999,22.030001,21.490000,21.830000,19.639786,31784000\n2010-07-06,22.000000,22.709999,22.000000,22.320000,20.080622,39642400\n2010-07-07,22.700001,23.120001,22.600000,23.090000,20.773371,36663500\n2010-07-08,23.139999,23.340000,22.959999,23.219999,20.890324,27335600\n2010-07-09,23.250000,23.389999,23.139999,23.370001,21.025274,16258800\n2010-07-12,23.209999,23.480000,23.110001,23.379999,21.079367,19312200\n2010-07-13,23.500000,23.860001,23.459999,23.709999,21.376894,22207700\n2010-07-14,23.850000,24.190001,23.719999,23.940001,21.584263,34781800\n2010-07-15,23.830000,23.900000,23.500000,23.830000,21.485086,26060700\n2010-07-16,23.799999,23.950001,23.250000,23.270000,20.980192,30343000\n2010-07-19,23.480000,23.670000,23.400000,23.590000,21.268702,19688200\n2010-07-20,23.270000,23.969999,23.040001,23.920000,21.566231,38192700\n2010-07-21,23.860001,23.969999,23.459999,23.559999,21.241657,38740000\n2010-07-22,23.719999,24.410000,23.700001,24.309999,21.917854,32726500\n2010-07-23,24.200001,24.580000,24.150000,24.500000,22.089161,29755500\n2010-07-26,24.450001,24.670000,24.350000,24.639999,22.215380,27093000\n2010-07-27,24.600000,24.680000,24.320000,24.570000,22.152269,23800600\n2010-07-28,24.549999,24.590000,24.170000,24.280001,21.890812,21200100\n2010-07-29,24.250000,24.389999,23.629999,23.700001,21.367882,39976700\n2010-07-30,23.570000,23.830000,23.400000,23.639999,21.313786,48321700\n2010-08-02,23.870001,24.389999,23.719999,24.290001,21.899828,26652000\n2010-08-03,24.309999,24.340000,24.059999,24.209999,21.827694,16366100\n2010-08-04,24.290001,24.590000,24.170000,24.490000,22.080143,19989600\n2010-08-05,24.280001,24.440001,24.139999,24.290001,21.899828,18723600\n2010-08-06,24.010000,24.400000,23.900000,24.379999,21.980967,33734300\n2010-08-09,24.400000,24.590000,24.240000,24.260000,21.872774,20551400\n2010-08-10,24.100000,24.430000,23.920000,24.290001,21.899828,28063400\n2010-08-11,23.910000,23.940001,23.559999,23.660000,21.331818,25666300\n2010-08-12,23.240000,23.389999,22.730000,22.940001,20.682667,33737300\n2010-08-13,22.760000,22.940001,22.510000,22.660000,20.430218,29793400\n2010-08-16,22.510000,23.000000,22.350000,22.719999,20.484314,19511700\n2010-08-17,22.860001,23.240000,22.719999,23.049999,20.781841,22483000\n2010-08-18,22.910000,23.250000,22.799999,23.090000,20.817907,18984200\n2010-08-19,22.860001,23.160000,22.820000,23.000000,20.736761,26754800\n2010-08-20,22.950001,23.080000,22.770000,23.020000,20.754795,21985400\n2010-08-23,23.059999,23.299999,22.830000,22.840000,20.592501,18250200\n2010-08-24,22.610001,22.790001,22.379999,22.410000,20.204819,23293400\n2010-08-25,22.219999,22.549999,22.030001,22.420000,20.213837,18685900\n2010-08-26,22.540001,22.730000,22.190001,22.250000,20.060562,18884700\n2010-08-27,22.379999,22.549999,21.950001,22.510000,20.294973,21375200\n2010-08-30,22.340000,22.620001,22.000000,22.020000,19.853195,23318300\n2010-08-31,21.920000,21.930000,21.660000,21.840000,19.690910,41712400\n2010-09-01,22.150000,22.650000,22.100000,22.620001,20.394157,29085400\n2010-09-02,22.610001,22.719999,22.350000,22.480000,20.267927,18057800\n2010-09-03,22.790001,22.940001,22.570000,22.920000,20.664639,21256900\n2010-09-07,24.559999,24.690001,24.010000,24.260000,21.872774,113824400\n2010-09-08,24.070000,24.230000,23.879999,24.139999,21.764582,54705500\n2010-09-09,24.320000,24.500000,24.209999,24.330000,21.935886,25963700\n2010-09-10,24.420000,25.150000,24.379999,25.049999,22.585032,44266700\n2010-09-13,25.139999,25.420000,25.110001,25.110001,22.639135,46816700\n2010-09-14,25.040001,25.580000,25.040001,25.379999,22.882566,31261800\n2010-09-15,25.270000,25.790001,25.170000,25.740000,23.207140,37563600\n2010-09-16,25.680000,25.709999,25.209999,25.360001,22.864531,52951000\n2010-09-17,26.440001,27.629999,26.400000,27.480000,24.775921,150976500\n2010-09-20,27.350000,27.570000,27.030001,27.490000,24.784943,49729800\n2010-09-21,27.330000,27.360001,26.700001,26.820000,24.180864,82733900\n2010-09-22,26.660000,27.330000,26.639999,27.200001,24.523476,51969100\n2010-09-23,26.959999,27.490000,26.959999,27.120001,24.451349,33123300\n2010-09-24,27.440001,27.500000,26.740000,26.959999,24.307089,58136200\n2010-09-27,26.860001,27.120001,26.780001,26.950001,24.298080,34142900\n2010-09-28,27.059999,27.400000,26.790001,27.190001,24.514460,43256700\n2010-09-29,27.070000,27.299999,26.930000,27.170000,24.496433,36626800\n2010-09-30,27.280001,27.410000,26.809999,26.850000,24.207918,42880900\n2010-10-01,27.180000,27.610001,27.139999,27.240000,24.559532,33690400\n2010-10-04,27.020000,27.360001,26.889999,26.900000,24.297598,36791900\n2010-10-05,27.209999,27.350000,27.059999,27.299999,24.658895,42520100\n2010-10-06,27.299999,27.860001,27.240000,27.580000,24.911806,50631600\n2010-10-07,27.629999,27.889999,27.540001,27.690001,25.011168,40611400\n2010-10-08,27.590000,28.080000,27.309999,28.000000,25.291172,33162900\n2010-10-11,27.900000,28.100000,27.730000,27.850000,25.155684,22649500\n2010-10-12,27.750000,28.000000,27.410000,27.950001,25.246014,27552500\n2010-10-13,28.000000,28.910000,26.980000,28.600000,25.833130,49145300\n2010-10-14,28.660000,28.700001,28.110001,28.330000,25.589251,38136000\n2010-10-15,28.469999,28.910000,28.160000,28.900000,26.104105,54775500\n2010-10-18,28.730000,29.230000,28.580000,29.230000,26.402184,35810300\n2010-10-19,28.940001,29.240000,28.450001,29.129999,26.311853,44673600\n2010-10-20,29.010000,29.180000,28.600000,28.639999,25.869255,39081700\n2010-10-21,28.799999,29.139999,28.570000,28.820000,26.031841,30191100\n2010-10-22,28.840000,29.030001,28.730000,28.990000,26.185400,16499800\n2010-10-25,29.150000,29.290001,28.809999,28.840000,26.049915,30650400\n2010-10-26,28.709999,28.840000,28.540001,28.629999,25.860228,28045400\n2010-10-27,28.549999,28.820000,28.360001,28.700001,25.923460,33890100\n2010-10-28,28.820000,29.480000,28.500000,29.360001,26.519608,35130600\n2010-10-29,29.360001,29.709999,29.299999,29.379999,26.537668,35074300\n2010-11-01,29.520000,29.549999,28.930000,29.129999,26.311853,21100000\n2010-11-02,29.490000,29.570000,29.260000,29.530001,26.673159,24201900\n2010-11-03,29.549999,29.570000,28.990000,29.200001,26.375088,30003800\n2010-11-04,29.610001,29.820000,29.100000,29.469999,26.618959,35709700\n2010-11-05,29.299999,29.500000,28.980000,29.250000,26.420250,28312700\n2010-11-08,29.080000,29.190001,28.840000,29.040001,26.230560,27179000\n2010-11-09,29.059999,29.250000,28.610001,28.740000,25.959583,34625800\n2010-11-10,28.639999,28.840000,28.360001,28.690001,25.914425,27841000\n2010-11-11,28.190001,28.580000,27.680000,28.570000,25.806034,37211000\n2010-11-12,28.500000,28.610001,28.090000,28.320000,25.580215,25818800\n2010-11-15,28.350000,28.770000,28.280001,28.400000,25.652479,21636700\n2010-11-16,28.010000,28.100000,27.500000,27.580000,24.911806,31206600\n2010-11-17,27.510000,28.110001,27.490000,27.910000,25.209887,24642700\n2010-11-18,28.370001,28.590000,28.160000,28.309999,25.571182,32649200\n2010-11-19,28.320000,28.370001,28.030001,28.150000,25.426659,25890900\n2010-11-22,27.889999,28.090000,27.790001,28.049999,25.336340,27618000\n2010-11-23,27.750000,27.820000,27.080000,27.190001,24.559540,31294200\n2010-11-24,27.670000,27.879999,27.620001,27.740000,25.056328,34983800\n2010-11-26,27.580000,27.620001,27.340000,27.490000,24.830517,12887500\n2010-11-29,27.170000,27.340000,26.910000,27.219999,24.586634,32610700\n2010-11-30,26.920000,27.129999,26.809999,27.049999,24.433081,38931000\n2010-12-01,27.540001,27.690001,27.410000,27.650000,24.975037,34781300\n2010-12-02,27.809999,28.180000,27.690001,28.100000,25.381506,32129900\n2010-12-03,28.080000,28.900000,28.059999,28.809999,26.022820,34454600\n2010-12-06,28.850000,28.959999,28.639999,28.730000,25.950556,21150300\n2010-12-07,29.059999,29.370001,28.940001,29.049999,26.239595,32190500\n2010-12-08,29.260000,29.280001,29.000000,29.230000,26.402184,14874800\n2010-12-09,29.350000,29.490000,29.040001,29.260000,26.429276,18260200\n2010-12-10,29.440001,29.980000,29.420000,29.940001,27.043491,28562000\n2010-12-13,29.990000,30.719999,29.570000,30.420000,27.477058,45575200\n2010-12-14,30.360001,30.750000,30.360001,30.510000,27.558352,25351800\n2010-12-15,30.590000,30.700001,30.260000,30.490000,27.540285,30537600\n2010-12-16,30.700001,30.770000,30.250000,30.270000,27.341566,47435600\n2010-12-17,31.920000,32.270000,31.370001,31.459999,28.416441,92487100\n2010-12-20,31.540001,31.940001,31.110001,31.670000,28.606129,33568100\n2010-12-21,31.650000,32.000000,31.590000,31.760000,28.687416,20002800\n2010-12-22,31.680000,31.879999,31.559999,31.660000,28.597097,14019200\n2010-12-23,31.530001,31.700001,31.410000,31.540001,28.488695,13049400\n2010-12-27,31.400000,31.799999,31.240000,31.660000,28.597097,13822100\n2010-12-28,31.660000,31.760000,31.410000,31.570000,28.515797,9736000\n2010-12-29,31.530001,31.690001,31.420000,31.500000,28.452570,9769000\n2010-12-30,31.450001,31.580000,31.209999,31.290001,28.262892,12989400\n2010-12-31,31.219999,31.330000,30.930000,31.299999,28.271923,11716300\n2011-01-03,31.590000,31.940001,31.520000,31.620001,28.560963,20970400\n2011-01-04,31.600000,31.750000,31.139999,31.480000,28.434509,22870800\n2011-01-05,31.320000,31.440001,30.980000,31.040001,28.037079,36339600\n2011-01-06,31.190001,31.200001,31.020000,31.170000,28.154495,21859400\n2011-01-07,31.240000,31.340000,30.930000,31.030001,28.028044,27697900\n2011-01-10,30.850000,31.219999,30.799999,31.040001,28.037079,29719600\n2011-01-11,31.080000,31.100000,30.860001,30.990000,27.991909,26395300\n2011-01-12,31.219999,31.230000,30.940001,30.940001,27.946753,33963700\n2011-01-13,30.969999,31.389999,30.900000,31.180000,28.163532,43412400\n2011-01-14,31.020000,31.340000,30.940001,31.250000,28.272091,37934100\n2011-01-18,31.260000,31.549999,31.230000,31.530001,28.525421,26975900\n2011-01-19,31.360001,31.610001,31.270000,31.600000,28.588745,26939000\n2011-01-20,31.469999,32.349998,31.469999,32.310001,29.231081,47750700\n2011-01-21,32.470001,32.669998,32.340000,32.509998,29.412029,34482100\n2011-01-24,32.580002,32.650002,32.070000,32.400002,29.312511,20170200\n2011-01-25,32.389999,32.439999,31.940001,32.290001,29.212997,25926600\n2011-01-26,32.310001,32.730000,32.160000,32.560001,29.457266,21485600\n2011-01-27,32.619999,33.090000,32.160000,32.919998,29.782955,25635600\n2011-01-28,33.200001,33.299999,31.830000,32.000000,28.950623,30820300\n2011-01-31,31.950001,32.200001,31.840000,32.029999,28.977764,20820100\n2011-02-01,32.169998,33.430000,32.110001,33.240002,30.072464,32573400\n2011-02-02,33.090000,33.560001,33.000000,33.139999,29.981997,19358200\n2011-02-03,32.980000,33.160000,32.720001,32.990002,29.846289,17600900\n2011-02-04,32.919998,32.980000,32.529999,32.619999,29.511547,38691800\n2011-02-07,32.700001,33.290001,32.549999,32.980000,29.837240,22785100\n2011-02-08,33.020000,33.160000,32.720001,33.029999,29.882475,15418400\n2011-02-09,33.040001,33.099998,32.610001,32.889999,29.755817,17112700\n2011-02-10,32.779999,33.259998,32.660000,33.259998,30.090549,17237600\n2011-02-11,33.070000,33.590000,33.029999,33.470001,30.280546,17402300\n2011-02-14,33.290001,33.540001,33.240002,33.290001,30.117701,16438000\n2011-02-15,33.119999,33.150002,32.610001,32.759998,29.638206,19332100\n2011-02-16,32.849998,33.139999,32.610001,33.110001,29.954857,15829000\n2011-02-17,32.970001,33.200001,32.759998,33.009998,29.864382,14568900\n2011-02-18,33.020000,33.709999,32.910000,33.680000,30.470543,25539900\n2011-02-22,33.290001,33.660000,32.520000,32.529999,29.430117,24887800\n2011-02-23,32.549999,32.650002,32.020000,32.180000,29.113476,22154100\n2011-02-24,32.099998,32.410000,31.639999,32.250000,29.176805,23416200\n2011-02-25,32.290001,33.080002,32.270000,32.950001,29.810099,20850400\n2011-02-28,33.060001,33.230000,32.680000,32.900002,29.764864,19406700\n2011-03-01,33.020000,33.080002,31.610001,31.670000,28.652069,30423200\n2011-03-02,31.580000,32.360001,31.549999,32.119999,29.059193,23091500\n2011-03-03,32.470001,33.189999,32.430000,33.029999,29.882475,24169800\n2011-03-04,32.990002,33.099998,32.220001,32.759998,29.638206,19148900\n2011-03-07,32.970001,33.060001,31.889999,32.099998,29.041094,20474300\n2011-03-08,32.340000,33.009998,32.189999,32.740002,29.620106,21891800\n2011-03-09,32.630001,33.139999,32.419998,32.790001,29.665344,17217800\n2011-03-10,32.369999,32.459999,31.510000,31.799999,28.769690,29054200\n2011-03-11,31.730000,32.400002,31.340000,31.910000,28.869198,23705900\n2011-03-14,31.520000,31.860001,31.270000,31.590000,28.579700,18656500\n2011-03-15,30.240000,31.299999,29.820000,31.170000,28.199720,34600300\n2011-03-16,30.920000,31.059999,29.620001,30.200001,27.322161,45026200\n2011-03-17,30.690001,31.049999,30.340000,30.549999,27.638798,31529500\n2011-03-18,30.980000,31.190001,30.610001,30.760000,27.828793,34862100\n2011-03-21,31.450001,31.850000,31.299999,31.420000,28.425896,23199400\n2011-03-22,31.389999,31.540001,31.059999,31.129999,28.163530,20051900\n2011-03-23,31.219999,31.709999,30.830000,31.410000,28.416843,23159700\n2011-03-24,31.780001,32.330002,31.500000,32.139999,29.077290,38277500\n2011-03-25,33.740002,34.099998,32.580002,32.639999,29.529640,64967600\n2011-03-28,32.830002,32.889999,32.400002,32.560001,29.457266,31399500\n2011-03-29,32.400002,33.160000,32.360001,33.160000,30.000090,29950300\n2011-03-30,33.270000,33.430000,33.000000,33.049999,29.900568,25718200\n2011-03-31,33.000000,33.630001,32.950001,33.430000,30.244358,38234200\n2011-04-01,33.700001,34.099998,33.610001,34.020000,30.778145,43176800\n2011-04-04,34.090000,34.430000,34.009998,34.139999,30.886692,26743000\n2011-04-05,34.290001,34.400002,33.910000,33.919998,30.687664,30286100\n2011-04-06,34.200001,34.200001,33.490002,33.580002,30.380070,24782200\n2011-04-07,33.599998,34.070000,33.299999,33.720001,30.506727,22723600\n2011-04-08,33.880001,33.930000,33.310001,33.540001,30.343878,16136500\n2011-04-11,33.540001,33.849998,33.540001,33.779999,30.615780,15960300\n2011-04-12,33.570000,33.630001,33.080002,33.400002,30.271368,16948600\n2011-04-13,33.570000,33.970001,33.490002,33.700001,30.543268,24345500\n2011-04-14,33.330002,33.880001,33.200001,33.799999,30.633902,17962100\n2011-04-15,33.980000,34.299999,33.680000,34.180000,30.978304,25468400\n2011-04-18,33.669998,33.779999,33.279999,33.630001,30.479822,20226500\n2011-04-19,33.540001,33.840000,33.480000,33.669998,30.516077,20452400\n2011-04-20,34.180000,34.369999,33.830002,34.110001,30.914864,24798400\n2011-04-21,34.110001,34.790001,34.099998,34.750000,31.494921,21125800\n2011-04-25,34.700001,34.860001,34.560001,34.830002,31.567423,12163000\n2011-04-26,34.810001,35.279999,34.720001,34.970001,31.694307,30391000\n2011-04-27,35.049999,35.290001,34.830002,35.250000,31.948076,21990200\n2011-04-28,35.029999,35.349998,34.709999,35.290001,31.984322,22995700\n2011-04-29,35.290001,36.049999,35.209999,35.959999,32.591564,94242100\n2011-05-02,35.840000,36.439999,35.830002,36.369999,32.963165,30058600\n2011-05-03,36.450001,36.500000,35.869999,36.139999,32.754711,24946200\n2011-05-04,36.119999,36.169998,34.950001,35.250000,31.948076,38886400\n2011-05-05,35.049999,35.369999,34.570000,34.669998,31.422398,23245400\n2011-05-06,35.119999,35.560001,34.830002,34.869999,31.603664,23885400\n2011-05-09,34.889999,35.450001,34.810001,35.200001,31.902761,16272500\n2011-05-10,35.490002,35.660000,35.230000,35.619999,32.283428,17015600\n2011-05-11,35.529999,35.700001,34.720001,34.980000,31.703384,20854300\n2011-05-12,34.900002,35.750000,34.810001,35.730000,32.383102,23096900\n2011-05-13,35.770000,35.919998,35.139999,35.189999,31.893700,20438800\n2011-05-16,35.080002,35.090000,34.020000,34.180000,30.978304,31350300\n2011-05-17,34.029999,34.290001,33.709999,33.939999,30.760784,27856100\n2011-05-18,34.000000,34.230000,33.549999,33.910000,30.733601,30005900\n2011-05-19,34.049999,34.570000,33.990002,34.500000,31.268326,22741400\n2011-05-20,34.459999,34.599998,34.040001,34.270000,31.059881,16484100\n2011-05-23,33.680000,33.740002,32.959999,33.160000,30.053852,29985800\n2011-05-24,33.270000,33.419998,32.919998,33.040001,29.945097,21893400\n2011-05-25,33.000000,33.380001,32.930000,32.990002,29.899784,23042300\n2011-05-26,33.139999,33.590000,33.009998,33.400002,30.271368,20948100\n2011-05-27,33.419998,33.849998,33.400002,33.700001,30.543268,16918600\n2011-05-31,33.910000,34.230000,33.320000,34.220001,31.014557,30783300\n2011-06-01,34.230000,34.299999,32.830002,32.880001,29.800085,31762600\n2011-06-02,32.869999,32.880001,32.080002,32.720001,29.655066,38255500\n2011-06-03,32.240002,32.759998,32.209999,32.330002,29.301600,23808200\n2011-06-06,32.150002,32.580002,32.070000,32.189999,29.174709,21677600\n2011-06-07,32.240002,32.299999,31.830000,31.840000,28.857496,28218700\n2011-06-08,31.750000,31.850000,31.139999,31.250000,28.322758,36607500\n2011-06-09,31.360001,31.930000,31.280001,31.629999,28.667170,21647100\n2011-06-10,31.420000,31.650000,31.120001,31.180000,28.259325,23747000\n2011-06-13,31.250000,31.850000,31.120001,31.629999,28.667170,26716600\n2011-06-14,31.990000,32.200001,31.830000,32.080002,29.075016,23067400\n2011-06-15,31.730000,31.990000,31.059999,31.160000,28.241192,34512600\n2011-06-16,31.160000,31.270000,30.650000,30.799999,27.914911,29868500\n2011-06-17,31.350000,31.809999,31.180000,31.180000,28.259325,42812400\n2011-06-20,31.350000,31.990000,31.250000,31.910000,28.920938,23408300\n2011-06-21,32.090000,32.709999,31.750000,32.650002,29.591627,26941600\n2011-06-22,32.580002,32.580002,32.139999,32.200001,29.183773,25940800\n2011-06-23,31.900000,32.549999,31.330000,32.459999,29.419416,54354600\n2011-06-24,31.490000,31.709999,30.950001,31.139999,28.223061,75120900\n2011-06-27,30.980000,31.830000,30.860001,31.580000,28.621855,29585600\n2011-06-28,31.690001,32.369999,31.370001,32.340000,29.310661,32746800\n2011-06-29,32.400002,32.680000,32.209999,32.430000,29.392235,27305700\n2011-06-30,32.630001,32.939999,32.509998,32.910000,29.827265,22182400\n2011-07-01,32.889999,33.200001,32.480000,33.049999,29.954147,25382300\n2011-07-05,33.009998,33.139999,32.790001,33.060001,29.963215,21406400\n2011-07-06,33.000000,33.250000,32.869999,33.209999,30.099171,22363900\n2011-07-07,33.470001,34.130001,33.400002,34.090000,30.896738,29886000\n2011-07-08,33.740002,33.939999,33.419998,33.939999,30.760784,23909600\n2011-07-11,33.610001,33.660000,32.900002,33.139999,30.088915,21943300\n2011-07-12,33.320000,33.470001,32.520000,32.599998,29.598629,35092400\n2011-07-13,32.860001,33.290001,32.590000,32.689999,29.680344,36497800\n2011-07-14,32.799999,33.099998,31.860001,32.049999,29.099266,32194500\n2011-07-15,32.150002,32.259998,31.840000,32.090000,29.135590,25404600\n2011-07-18,31.830000,31.940001,31.200001,31.490000,28.590828,25253300\n2011-07-19,31.910000,32.669998,31.889999,32.639999,29.634949,26835500\n2011-07-20,32.439999,32.599998,32.060001,32.080002,29.126505,23074700\n2011-07-21,32.189999,32.750000,32.060001,32.470001,29.480600,24516200\n2011-07-22,32.369999,32.669998,32.099998,32.549999,29.553238,21378100\n2011-07-25,32.250000,32.439999,32.040001,32.209999,29.244537,20806100\n2011-07-26,32.250000,32.520000,31.840000,32.150002,29.190063,33568300\n2011-07-27,31.809999,31.840000,30.620001,30.709999,27.882635,43084500\n2011-07-28,30.700001,31.150000,30.629999,30.670000,27.846321,29323100\n2011-07-29,30.520000,31.190001,30.260000,30.580000,27.764605,38200600\n2011-08-01,30.969999,31.209999,29.559999,30.110001,27.337879,38566100\n2011-08-02,29.790001,30.400000,29.520000,29.549999,26.829432,40691000\n2011-08-03,29.500000,30.350000,29.150000,30.190001,27.410511,44046200\n2011-08-04,29.840000,29.870001,28.840000,28.879999,26.221117,49433400\n2011-08-05,29.330000,29.420000,27.500000,28.350000,25.739910,82201300\n2011-08-08,27.469999,28.040001,25.959999,26.020000,23.624432,80848500\n2011-08-09,26.459999,27.600000,25.809999,27.600000,25.058969,82425600\n2011-08-10,26.799999,27.510000,26.110001,26.480000,24.042076,82821600\n2011-08-11,26.500000,28.030001,26.370001,27.700001,25.149754,58279300\n2011-08-12,27.830000,27.830000,26.990000,27.389999,24.868299,43238500\n2011-08-15,27.420000,27.860001,27.160000,27.639999,25.095282,38334100\n2011-08-16,27.420000,27.959999,27.230000,27.570000,25.031729,37615100\n2011-08-17,27.650000,28.049999,27.070000,27.469999,24.940933,34073800\n2011-08-18,26.459999,26.490000,24.719999,25.190001,22.870848,78449700\n2011-08-19,24.820000,25.600000,24.750000,24.780001,22.498590,46790600\n2011-08-22,25.410000,25.620001,24.809999,25.059999,22.752810,37825100\n2011-08-23,25.190001,26.209999,25.160000,26.200001,23.787859,36867400\n2011-08-24,26.110001,26.730000,26.010000,26.680000,24.223663,31588800\n2011-08-25,26.850000,27.049999,25.730000,25.900000,23.515476,38264000\n2011-08-26,25.879999,26.830000,25.480000,26.650000,24.196432,34449300\n2011-08-29,27.049999,27.959999,27.020000,27.910000,25.340425,28945400\n2011-08-30,27.809999,28.040001,27.459999,27.870001,25.304110,29944300\n2011-08-31,27.860001,28.610001,27.709999,28.070000,25.485693,31444600\n2011-09-01,28.030001,28.670000,27.750000,27.840000,25.276867,34199100\n2011-09-02,27.230000,27.450001,26.780001,26.969999,24.486965,30297500\n2011-09-06,26.030001,26.820000,25.709999,26.490000,24.051161,30907700\n2011-09-07,26.980000,27.629999,26.750000,27.629999,25.086201,26106200\n2011-09-08,27.450001,27.530001,26.370001,26.719999,24.259979,50386300\n2011-09-09,26.420000,26.600000,25.770000,26.000000,23.606270,38961600\n2011-09-12,25.920000,26.770000,25.900000,26.750000,24.287220,37358200\n2011-09-13,26.820000,27.790001,26.760000,27.719999,25.167913,42359400\n2011-09-14,28.020000,28.580000,27.660000,28.150000,25.558323,34972000\n2011-09-15,28.610001,29.000000,28.260000,28.950001,26.284679,28846400\n2011-09-16,29.040001,29.299999,28.799999,29.230000,26.538897,58059500\n2011-09-19,28.740000,29.240000,28.170000,29.020000,26.348228,34514300\n2011-09-20,29.240000,29.360001,28.219999,28.350000,25.739910,50913400\n2011-09-21,29.809999,30.959999,29.469999,29.540001,26.820353,83318400\n2011-09-22,28.740000,29.030001,27.830000,28.340000,25.730837,61371400\n2011-09-23,28.100000,29.080000,27.809999,28.900000,26.239281,43991700\n2011-09-26,29.059999,29.790001,28.650000,29.709999,26.974705,37762600\n2011-09-27,30.250000,30.580000,29.760000,30.129999,27.356035,38514400\n2011-09-28,30.240000,30.410000,29.420000,29.450001,26.738638,31357100\n2011-09-29,29.980000,30.620001,29.080000,29.650000,26.920227,44358800\n2011-09-30,29.260000,29.740000,28.740000,28.740000,26.094007,42188000\n2011-10-03,28.590000,29.010000,27.920000,27.940001,25.367662,45214600\n2011-10-04,27.440001,28.770000,27.000000,28.690001,26.048607,50300200\n2011-10-05,28.650000,29.590000,28.389999,29.510000,26.793118,43277100\n2011-10-06,29.459999,30.100000,28.980000,30.070000,27.301561,34994100\n2011-10-07,30.049999,30.340000,29.549999,29.910000,27.210587,37977000\n2011-10-10,30.430000,31.030001,30.219999,30.969999,28.174921,27708200\n2011-10-11,30.900000,31.200001,30.730000,30.930000,28.138531,25382700\n2011-10-12,31.370001,31.549999,31.080000,31.110001,28.302280,30322800\n2011-10-13,30.959999,31.299999,30.570000,31.139999,28.329571,27161500\n2011-10-14,31.559999,31.860001,31.270000,31.850000,28.975498,23613200\n2011-10-17,31.590000,31.750000,30.950001,31.230000,28.411453,25074700\n2011-10-18,31.139999,32.000000,30.770000,31.879999,29.002787,29754800\n2011-10-19,31.830000,32.180000,31.250000,31.490000,28.647989,25586300\n2011-10-20,31.590000,31.750000,30.879999,31.530001,28.684383,25102300\n2011-10-21,31.940001,32.250000,31.820000,32.119999,29.221130,32837700\n2011-10-24,32.009998,32.919998,32.009998,32.869999,29.903440,27941900\n2011-10-25,32.919998,32.950001,32.270000,32.369999,29.448568,30540900\n2011-10-26,32.730000,32.759998,31.559999,32.400002,29.475851,33683500\n2011-10-27,33.090000,33.810001,32.950001,33.660000,30.622133,35578800\n2011-10-28,33.500000,33.799999,33.400002,33.689999,30.649429,26333800\n2011-10-31,33.250000,33.369999,32.759998,32.770000,29.812460,28859900\n2011-11-01,31.959999,32.209999,31.620001,31.690001,28.829935,31480100\n2011-11-02,31.959999,32.639999,31.799999,32.279999,29.366688,26470800\n2011-11-03,32.259998,33.150002,32.180000,33.110001,30.121780,27467100\n2011-11-04,32.820000,32.880001,32.119999,32.549999,29.612324,23837800\n2011-11-07,32.389999,32.919998,31.799999,32.869999,29.903440,23980000\n2011-11-08,33.130001,33.759998,32.849998,33.610001,30.576645,30171400\n2011-11-09,32.840000,32.840000,31.440001,31.590000,28.738964,36933000\n2011-11-10,31.940001,32.029999,31.299999,31.730000,28.866323,25303800\n2011-11-11,32.020000,32.759998,32.000000,32.369999,29.448568,21664700\n2011-11-14,32.299999,32.509998,32.080002,32.299999,29.384882,16781600\n2011-11-15,32.209999,33.160000,32.139999,32.959999,29.985315,21397300\n2011-11-16,32.599998,33.060001,31.990000,31.990000,29.102863,24295200\n2011-11-17,31.850000,32.000000,30.469999,30.820000,28.038454,41500400\n2011-11-18,30.730000,30.889999,30.290001,30.600000,27.838306,26601000\n2011-11-21,30.190001,30.350000,29.540001,29.910000,27.210587,25360400\n2011-11-22,29.580000,29.920000,29.270000,29.809999,27.119608,25437400\n2011-11-23,29.500000,29.590000,28.990000,29.000000,26.382711,24399700\n2011-11-25,28.680000,29.330000,28.610001,28.740000,26.146177,13641400\n2011-11-28,29.450001,30.059999,29.360001,29.870001,27.174198,21067200\n2011-11-29,29.930000,30.160000,29.690001,29.740000,27.055923,20155800\n2011-11-30,30.690001,31.459999,30.650000,31.350000,28.520618,31879500\n2011-12-01,31.400000,31.780001,31.139999,31.670000,28.811739,22197000\n2011-12-02,32.000000,32.049999,31.200001,31.200001,28.384159,22391200\n2011-12-05,31.809999,32.240002,31.549999,31.900000,29.020985,19992200\n2011-12-06,32.040001,32.110001,31.540001,31.730000,28.866323,21049900\n2011-12-07,31.290001,31.809999,30.820000,31.540001,28.693480,31366000\n2011-12-08,31.240000,31.500000,30.650000,30.740000,27.965675,24494300\n2011-12-09,30.840000,31.850000,30.809999,31.690001,28.829935,22621000\n2011-12-12,31.400000,31.400000,30.770000,31.320000,28.493328,22536100\n2011-12-13,31.690001,31.900000,30.600000,30.830000,28.047550,25309900\n2011-12-14,30.670000,30.750000,29.750000,29.870001,27.174198,26644600\n2011-12-15,30.139999,30.200001,28.809999,29.030001,26.410002,43170300\n2011-12-16,29.260000,30.070000,28.959999,29.209999,26.573759,46100600\n2011-12-19,29.410000,29.440001,28.500000,28.610001,26.027906,24849700\n2011-12-20,29.059999,29.490000,28.870001,29.170000,26.537367,46428300\n2011-12-21,25.670000,25.990000,24.910000,25.770000,23.444221,183503900\n2011-12-22,25.860001,25.870001,25.379999,25.690001,23.371443,44203700\n2011-12-23,25.799999,26.080000,25.750000,26.059999,23.708050,32292800\n2011-12-27,26.059999,26.200001,25.559999,25.629999,23.316860,21312400\n2011-12-28,25.680000,25.760000,25.330000,25.510000,23.207685,25412300\n2011-12-29,25.670000,25.840000,25.500000,25.799999,23.471518,19249800\n2011-12-30,25.730000,25.879999,25.620001,25.650000,23.335056,19168800\n2012-01-03,26.330000,26.660000,25.830000,25.860001,23.526100,37911800\n2012-01-04,25.950001,26.230000,25.549999,26.010000,23.662561,45418500\n2012-01-05,26.010000,26.900000,25.910000,26.590000,24.190212,50873400\n2012-01-06,26.670000,27.150000,26.360001,26.930000,24.499535,55685000\n2012-01-09,26.900000,27.120001,26.660000,27.030001,24.645416,38481100\n2012-01-10,27.180000,27.600000,26.850000,26.969999,24.590712,48976300\n2012-01-11,26.990000,27.100000,26.750000,26.889999,24.517769,30836000\n2012-01-12,27.020000,27.260000,26.620001,27.170000,24.773066,31775700\n2012-01-13,27.040001,27.370001,26.850000,27.340000,24.928070,31482600\n2012-01-17,27.680000,27.879999,27.480000,27.660000,25.219837,35769400\n2012-01-18,27.709999,28.450001,27.610001,28.340000,25.839849,35343800\n2012-01-19,28.480000,28.799999,28.250000,28.559999,26.040436,36353100\n2012-01-20,28.389999,28.950001,28.270000,28.709999,26.177206,37014000\n2012-01-23,28.730000,28.910000,28.280001,28.389999,25.885435,27438400\n2012-01-24,28.330000,28.740000,28.250000,28.510000,25.994850,23700900\n2012-01-25,28.260000,28.639999,27.959999,28.510000,25.994850,39274500\n2012-01-26,28.559999,28.840000,28.150000,28.290001,25.794262,34646400\n2012-01-27,28.240000,28.629999,28.129999,28.420000,25.912788,24561500\n2012-01-30,28.190001,28.690001,28.020000,28.600000,26.076916,23294900\n2012-01-31,28.730000,28.740000,28.049999,28.209999,25.721317,32744000\n2012-02-01,28.480000,28.940001,28.110001,28.879999,26.332211,38240800\n2012-02-02,28.870001,29.250000,28.709999,28.809999,26.268389,27334400\n2012-02-03,29.129999,29.219999,28.780001,29.110001,26.541922,26277200\n2012-02-06,29.030001,29.070000,28.809999,29.000000,26.441626,16582600\n2012-02-07,28.910000,29.000000,28.750000,28.950001,26.396044,20291700\n2012-02-08,28.920000,28.990000,28.379999,28.730000,26.195450,29842600\n2012-02-09,28.850000,28.900000,28.350000,28.889999,26.341328,31795300\n2012-02-10,28.549999,28.639999,28.280001,28.500000,25.985733,30232000\n2012-02-13,28.590000,28.670000,28.350000,28.430000,25.921911,20015200\n2012-02-14,28.320000,28.450001,28.030001,28.240000,25.748674,30267900\n2012-02-15,28.100000,28.350000,27.920000,27.980000,25.511606,34620600\n2012-02-16,28.160000,29.000000,28.129999,28.950001,26.396044,36380600\n2012-02-17,29.030001,29.030001,28.639999,28.790001,26.250158,34061000\n2012-02-21,28.799999,28.980000,28.490000,28.740000,26.204563,20612200\n2012-02-22,28.719999,29.080000,28.500000,28.549999,26.031322,25207600\n2012-02-23,28.610001,28.879999,28.320000,28.809999,26.268389,25319100\n2012-02-24,29.059999,29.540001,28.840000,29.250000,26.669573,24952400\n2012-02-27,29.000000,29.379999,28.760000,29.260000,26.678686,30419400\n2012-02-28,29.240000,29.389999,29.000000,29.389999,26.797218,29889400\n2012-02-29,29.400000,29.440001,29.020000,29.250000,26.669573,33160700\n2012-03-01,29.400000,29.969999,29.230000,29.830000,27.198408,32909600\n2012-03-02,29.850000,30.250000,29.760000,29.959999,27.316935,28177200\n2012-03-05,30.240000,30.420000,29.920000,30.240000,27.572231,33786600\n2012-03-06,29.940001,30.400000,29.709999,29.940001,27.298698,28971600\n2012-03-07,30.049999,30.280001,29.830000,30.219999,27.553993,23691100\n2012-03-08,30.400000,30.440001,29.850000,30.070000,27.417233,30927300\n2012-03-09,30.049999,30.290001,29.900000,30.129999,27.471937,30056300\n2012-03-12,29.719999,29.920000,29.200001,29.709999,27.088989,40933900\n2012-03-13,29.990000,30.230000,29.910000,30.129999,27.471937,32329200\n2012-03-14,30.000000,30.160000,29.690001,29.840000,27.207521,30994400\n2012-03-15,29.959999,30.129999,29.740000,30.059999,27.408112,35528500\n2012-03-16,30.110001,30.160000,29.580000,29.740000,27.116341,38651200\n2012-03-19,29.590000,29.889999,29.430000,29.760000,27.134579,32519400\n2012-03-20,29.700001,30.139999,29.549999,30.100000,27.444580,46126400\n2012-03-21,30.870001,31.150000,29.340000,29.410000,26.815456,94678000\n2012-03-22,29.330000,29.330000,28.559999,28.629999,26.104267,59763200\n2012-03-23,28.690001,28.889999,28.520000,28.549999,26.031322,36696300\n2012-03-26,28.780001,29.190001,28.650000,29.160000,26.587513,30044300\n2012-03-27,29.170000,29.520000,29.000000,29.350000,26.760744,31710000\n2012-03-28,29.379999,29.549999,29.139999,29.360001,26.769865,29405300\n2012-03-29,29.209999,29.580000,29.100000,29.299999,26.715160,34035400\n2012-03-30,29.459999,29.490000,29.040001,29.160000,26.587513,32006100\n2012-04-02,29.120001,29.680000,29.000000,29.530001,26.924868,28525300\n2012-04-03,29.610001,29.700001,29.120001,29.389999,26.797218,29995400\n2012-04-04,29.190001,29.480000,28.930000,29.160000,26.587513,31154000\n2012-04-05,29.150000,29.629999,29.129999,29.559999,26.952221,43273500\n2012-04-09,29.100000,29.250000,29.000000,29.010000,26.504547,21528500\n2012-04-10,28.879999,28.959999,28.080000,28.350000,25.901537,41175000\n2012-04-11,28.490000,28.549999,28.040001,28.139999,25.709679,30390100\n2012-04-12,28.320000,28.719999,28.160000,28.700001,26.221317,29414300\n2012-04-13,28.700001,28.770000,28.490000,28.559999,26.093401,16685800\n2012-04-16,28.580000,28.770000,28.309999,28.639999,26.166498,21476800\n2012-04-17,28.719999,29.440001,28.700001,29.280001,26.751225,24985300\n2012-04-18,29.129999,29.350000,29.100000,29.129999,26.614178,21151400\n2012-04-19,28.990000,29.459999,28.670000,29.010000,26.504547,26462100\n2012-04-20,29.120001,29.530001,28.879999,28.879999,26.385767,35727900\n2012-04-23,28.600000,28.660000,28.260000,28.480000,26.020317,23045500\n2012-04-24,28.530001,28.850000,28.520000,28.690001,26.212172,20486900\n2012-04-25,28.680000,28.990000,28.600000,28.870001,26.376635,26902800\n2012-04-26,28.840000,29.219999,28.740000,29.020000,26.513680,20548300\n2012-04-27,29.059999,29.440001,29.059999,29.240000,26.714680,16847800\n2012-04-30,29.230000,29.420000,29.200001,29.400000,26.860857,18568500\n2012-05-01,29.450001,29.780001,29.290001,29.570000,27.016176,19965400\n2012-05-02,29.420000,29.790001,29.190001,29.709999,27.144085,22579000\n2012-05-03,29.740000,29.820000,29.340000,29.379999,26.842583,19175800\n2012-05-04,29.100000,29.150000,28.410000,28.410000,25.956358,33934300\n2012-05-07,28.340000,28.450001,27.850000,27.920000,25.508680,33670500\n2012-05-08,27.709999,28.020000,27.530001,27.930000,25.517815,24660200\n2012-05-09,27.620001,27.910000,27.410000,27.780001,25.380766,25521100\n2012-05-10,27.700001,27.750000,26.740000,27.020000,24.686411,52653300\n2012-05-11,26.969999,27.309999,26.770000,27.000000,24.668137,25588900\n2012-05-14,26.730000,27.309999,26.660000,26.959999,24.631592,22485200\n2012-05-15,27.020000,27.530001,26.940001,27.059999,24.722958,26392900\n2012-05-16,27.160000,27.410000,26.680000,26.719999,24.412317,29672800\n2012-05-17,26.700001,26.719999,26.250000,26.250000,23.982910,29440600\n2012-05-18,26.290001,26.290001,25.330000,25.610001,23.398180,68182500\n2012-05-21,25.540001,26.459999,25.530001,26.260000,23.992048,30712700\n2012-05-22,26.330000,26.490000,26.070000,26.360001,24.083408,22122800\n2012-05-23,26.120001,26.850000,26.040001,26.680000,24.375772,33179600\n2012-05-24,26.620001,26.650000,25.900000,26.120001,23.864138,34232000\n2012-05-25,26.180000,26.330000,26.040001,26.139999,23.882412,18642900\n2012-05-29,26.410000,26.780001,26.160000,26.459999,24.174770,24139900\n2012-05-30,26.190001,26.340000,25.980000,26.170000,23.909817,21538300\n2012-05-31,26.219999,26.719999,26.170000,26.469999,24.183908,32192300\n2012-06-01,25.980000,26.280001,25.900000,26.000000,23.754501,30739700\n2012-06-04,26.040001,26.340000,25.840000,26.200001,23.937229,28945200\n2012-06-05,26.070000,26.940001,26.070000,26.709999,24.403181,28412000\n2012-06-06,26.990000,27.570000,26.879999,27.530001,25.152365,27639000\n2012-06-07,27.750000,27.760000,27.180000,27.180000,24.832590,32896100\n2012-06-08,27.040001,27.270000,26.799999,27.160000,24.814318,22343200\n2012-06-11,27.379999,27.420000,26.770000,26.809999,24.494543,20470800\n2012-06-12,27.000000,27.150000,26.730000,27.030001,24.695543,26186900\n2012-06-13,26.879999,27.379999,26.790001,27.020000,24.686411,19638800\n2012-06-14,27.090000,27.350000,26.510000,26.910000,24.585907,34311700\n2012-06-15,27.110001,27.760000,26.990000,27.700001,25.307676,40136400\n2012-06-18,27.430000,27.430000,26.690001,27.120001,24.777777,38322000\n2012-06-19,28.389999,28.750000,27.530001,27.959999,25.545225,81048700\n2012-06-20,28.040001,28.580000,27.940001,28.490000,26.029451,29281700\n2012-06-21,28.490000,28.639999,27.750000,27.809999,25.408175,32721900\n2012-06-22,27.910000,28.139999,27.790001,28.000000,25.581770,22163000\n2012-06-25,27.540001,27.750000,27.240000,27.620001,25.234587,24918800\n2012-06-26,27.629999,27.950001,27.520000,27.830000,25.426453,20614200\n2012-06-27,27.760000,28.459999,27.760000,28.170000,25.737091,19388200\n2012-06-28,28.030001,28.260000,27.730000,28.170000,25.737091,27175800\n2012-06-29,28.809999,29.709999,28.790001,29.700001,27.134951,35545300\n2012-07-02,29.530001,29.799999,29.150000,29.799999,27.226311,24445300\n2012-07-03,29.629999,29.980000,29.610001,29.969999,27.381634,14468000\n2012-07-05,29.830000,29.930000,29.709999,29.719999,27.153221,19244600\n2012-07-06,29.370001,29.480000,28.940001,29.180000,26.659863,25259400\n2012-07-09,29.230000,29.360001,29.020000,29.100000,26.586771,21873200\n2012-07-10,29.360001,29.600000,28.850000,29.049999,26.541088,23424100\n2012-07-11,28.980000,29.320000,28.910000,29.230000,26.760813,27247300\n2012-07-12,29.450001,29.469999,28.610001,28.820000,26.385447,23562000\n2012-07-13,28.870001,29.660000,28.750000,29.580000,27.081244,22026800\n2012-07-16,29.430000,29.750000,29.280001,29.520000,27.026312,16819600\n2012-07-17,29.709999,30.049999,29.370001,29.920000,27.392529,23897100\n2012-07-18,29.840000,30.760000,29.820000,30.500000,27.923529,24988700\n2012-07-19,30.600000,31.110001,30.559999,30.870001,28.262278,26180000\n2012-07-20,30.660000,30.830000,30.100000,30.120001,27.575632,25013000\n2012-07-23,29.530001,29.799999,29.110001,29.650000,27.145334,23403200\n2012-07-24,29.590000,29.670000,29.070000,29.320000,26.843210,23707500\n2012-07-25,29.299999,29.559999,29.120001,29.260000,26.788277,22389100\n2012-07-26,29.790001,30.360001,29.700001,30.000000,27.465769,26746600\n2012-07-27,30.299999,30.840000,30.040001,30.770000,28.170721,23852100\n2012-07-30,30.690001,31.000000,30.400000,30.580000,27.996773,20919700\n2012-07-31,30.559999,30.690001,30.170000,30.200001,27.648874,20951600\n2012-08-01,30.340000,30.520000,30.030001,30.320000,27.758736,17344400\n2012-08-02,29.870001,30.400000,29.740000,29.920000,27.392529,22103400\n2012-08-03,30.530001,30.870001,30.379999,30.719999,28.124945,17767200\n2012-08-06,30.920000,31.250000,30.780001,31.000000,28.381292,18658400\n2012-08-07,31.219999,31.700001,31.150000,31.500000,28.839058,21692700\n2012-08-08,31.340000,31.809999,31.070000,31.160000,28.527777,22436100\n2012-08-09,31.160000,31.549999,31.150000,31.370001,28.720034,14578500\n2012-08-10,31.190001,31.620001,31.080000,31.610001,28.939764,13848800\n2012-08-13,31.450001,31.549999,31.200001,31.360001,28.710884,14362100\n2012-08-14,31.500000,31.629999,31.240000,31.350000,28.701723,13806800\n2012-08-15,31.330000,31.690001,31.330000,31.549999,28.884834,16230100\n2012-08-16,31.639999,32.209999,31.540001,32.029999,29.324280,20333700\n2012-08-17,32.090000,32.299999,31.910000,32.200001,29.479921,20814500\n2012-08-20,32.099998,32.150002,31.900000,32.040001,29.333439,11189200\n2012-08-21,32.020000,32.270000,31.719999,31.750000,29.067940,19673100\n2012-08-22,31.740000,31.850000,31.520000,31.700001,29.022169,18087900\n2012-08-23,31.559999,31.750000,31.309999,31.590000,28.921461,14201700\n2012-08-24,31.340000,32.000000,31.250000,31.950001,29.251047,14811400\n2012-08-27,32.070000,32.070000,31.750000,31.830000,29.141176,14708300\n2012-08-28,31.719999,32.000000,31.559999,31.580000,28.912302,15993500\n2012-08-29,31.650000,31.889999,31.459999,31.490000,28.829901,15845300\n2012-08-30,31.299999,31.379999,31.160000,31.170000,28.536938,17984700\n2012-08-31,31.459999,31.760000,31.129999,31.650000,28.976385,21240300\n2012-09-04,31.629999,31.799999,31.219999,31.570000,28.903141,16654700\n2012-09-05,31.650000,32.110001,31.610001,32.070000,29.360907,22994600\n2012-09-06,32.180000,32.790001,32.160000,32.630001,29.873602,22699700\n2012-09-07,32.639999,32.639999,32.270000,32.599998,29.846134,19068700\n2012-09-10,32.590000,32.750000,32.299999,32.310001,29.580633,18589900\n2012-09-11,32.290001,32.459999,32.160000,32.320000,29.589785,21554800\n2012-09-12,32.500000,32.500000,32.240002,32.259998,29.534847,20602100\n2012-09-13,32.320000,32.790001,32.090000,32.619999,29.864445,27451700\n2012-09-14,32.650002,33.000000,32.599998,32.950001,30.166567,23162900\n2012-09-17,32.810001,33.130001,32.750000,33.099998,30.303894,25017900\n2012-09-18,33.099998,33.270000,32.939999,33.020000,30.230663,25285000\n2012-09-19,33.009998,33.080002,32.560001,32.779999,30.010927,20913400\n2012-09-20,32.599998,32.880001,32.189999,32.259998,29.534847,38005700\n2012-09-21,33.029999,33.290001,32.279999,32.470001,29.727118,62905800\n2012-09-24,32.250000,32.439999,32.080002,32.220001,29.498240,18511200\n2012-09-25,32.180000,32.230000,31.250000,31.299999,28.655951,30757800\n2012-09-26,31.020000,31.080000,30.570000,30.730000,28.134096,29234500\n2012-09-27,30.760000,31.420000,30.700001,31.219999,28.582710,23400200\n2012-09-28,31.129999,31.610001,31.070000,31.459999,28.802439,27014800\n2012-10-01,31.709999,32.000000,31.540001,31.670000,28.994694,28412900\n2012-10-02,31.790001,32.009998,31.400000,31.650000,28.976385,21859900\n2012-10-03,31.809999,32.049999,31.690001,31.820000,29.132027,19700800\n2012-10-04,31.850000,31.980000,31.650000,31.900000,29.205265,25156900\n2012-10-05,32.049999,32.090000,31.280001,31.389999,28.738348,31239000\n2012-10-08,31.200001,31.379999,30.860001,31.180000,28.546091,22261500\n2012-10-09,31.059999,31.100000,30.440001,30.650000,28.060856,23311300\n2012-10-10,30.580000,30.719999,30.430000,30.580000,28.051682,23103700\n2012-10-11,30.730000,31.090000,30.620001,30.719999,28.180109,20436300\n2012-10-12,30.680000,31.190001,30.680000,31.000000,28.436962,18639800\n2012-10-15,31.059999,31.379999,31.020000,31.299999,28.712156,26143200\n2012-10-16,31.400000,31.889999,31.280001,31.870001,29.235033,22024500\n2012-10-17,31.530001,31.700001,31.209999,31.230000,28.647943,28326200\n2012-10-18,31.139999,31.240000,30.760000,31.120001,28.547039,26013900\n2012-10-19,31.070000,31.250000,30.400000,30.480000,27.959953,26239700\n2012-10-22,30.590000,30.889999,30.309999,30.799999,28.253494,17338400\n2012-10-23,30.520000,30.840000,30.450001,30.590000,28.060858,21384700\n2012-10-24,30.900000,30.950001,30.370001,30.600000,28.070028,21642700\n2012-10-25,30.870001,31.219999,30.709999,30.860001,28.308538,20696000\n2012-10-26,30.809999,31.100000,30.610001,30.990000,28.427792,19815600\n2012-10-31,31.240000,31.389999,30.860001,31.080000,28.510347,21844400\n2012-11-01,31.200001,31.520000,30.930000,31.480000,28.877275,22886100\n2012-11-02,31.799999,31.809999,31.180000,31.209999,28.629597,17251200\n2012-11-05,30.950001,31.350000,30.770000,31.250000,28.666292,13590100\n2012-11-06,31.430000,31.910000,31.330000,31.629999,29.014872,15018800\n2012-11-07,31.299999,31.350000,30.760000,30.790001,28.244324,22295700\n2012-11-08,30.730000,30.980000,30.410000,30.420000,27.904917,17902800\n2012-11-09,30.400000,30.730000,30.270000,30.350000,27.840704,15537900\n2012-11-12,30.410000,30.549999,30.090000,30.299999,27.794836,10964600\n2012-11-13,30.080000,30.500000,29.889999,30.020000,27.537987,20901000\n2012-11-14,30.100000,30.150000,29.520000,29.580000,27.134363,22562900\n2012-11-15,29.580000,30.070000,29.559999,29.950001,27.473772,26295000\n2012-11-16,30.030001,30.129999,29.780001,30.000000,27.519636,25491700\n2012-11-19,30.250000,30.260000,29.850000,30.139999,27.648066,22551100\n2012-11-20,30.020000,30.200001,29.780001,30.200001,27.703104,17448200\n2012-11-21,30.190001,30.530001,30.129999,30.400000,27.886570,17423900\n2012-11-23,30.650000,31.059999,30.580000,30.920000,28.363575,8211500\n2012-11-26,30.719999,30.969999,30.580000,30.959999,28.400270,15644900\n2012-11-27,31.200001,31.770000,31.160000,31.219999,28.638773,24696300\n2012-11-28,31.150000,31.820000,30.990000,31.799999,29.170822,21603200\n2012-11-29,31.920000,32.139999,31.809999,31.840000,29.207512,22205300\n2012-11-30,31.850000,32.240002,31.750000,32.180000,29.519400,26610600\n2012-12-03,32.369999,32.500000,32.209999,32.310001,29.638655,22159300\n2012-12-04,32.220001,32.470001,32.009998,32.380001,29.702868,17391100\n2012-12-05,31.950001,32.119999,31.309999,32.000000,29.354279,30775300\n2012-12-06,31.990000,32.110001,31.900000,32.029999,29.381804,25132600\n2012-12-07,32.150002,32.169998,31.770000,31.920000,29.280899,18421100\n2012-12-10,31.920000,32.230000,31.920000,32.070000,29.418493,20712600\n2012-12-11,32.180000,32.500000,32.020000,32.340000,29.666178,25716300\n2012-12-12,32.209999,32.380001,31.830000,31.940001,29.463230,20205300\n2012-12-13,31.930000,32.009998,31.389999,31.610001,29.158821,20608200\n2012-12-14,31.540001,32.110001,31.440001,31.959999,29.481680,21930800\n2012-12-17,32.000000,32.470001,31.799999,32.320000,29.813761,24047300\n2012-12-18,32.490002,32.950001,32.349998,32.880001,30.330345,37797600\n2012-12-19,33.860001,34.349998,33.830002,34.090000,31.446512,60937600\n2012-12-20,34.090000,34.250000,33.930000,33.939999,31.308142,28119900\n2012-12-21,33.509998,33.919998,33.200001,33.759998,31.142105,45601600\n2012-12-24,33.459999,33.639999,33.419998,33.610001,31.003727,6451900\n2012-12-26,33.669998,33.849998,33.340000,33.610001,31.003727,13282100\n2012-12-27,33.540001,33.619999,33.000000,33.270000,30.690096,21600200\n2012-12-28,33.040001,33.490002,33.000000,33.020000,30.459488,16792100\n2012-12-31,32.910000,33.459999,32.689999,33.320000,30.736229,25320000\n2013-01-02,34.080002,34.740002,33.930000,34.689999,31.999990,33758400\n2013-01-03,34.630001,34.750000,34.139999,34.310001,31.649454,21819500\n2013-01-04,34.450001,34.750000,34.400002,34.610001,31.926191,21687300\n2013-01-07,34.439999,34.520000,34.209999,34.430000,31.760151,14008300\n2013-01-08,34.150002,34.509998,34.060001,34.439999,31.769369,17408900\n2013-01-09,34.500000,34.799999,34.380001,34.459999,31.787817,18932700\n2013-01-10,34.560001,34.919998,34.410000,34.910000,32.202923,17843600\n2013-01-11,34.959999,35.000000,34.779999,34.860001,32.156811,15105200\n2013-01-14,34.830002,35.000000,34.599998,34.959999,32.249046,14589400\n2013-01-15,34.570000,34.880001,34.520000,34.700001,32.009205,16263600\n2013-01-16,34.630001,34.869999,34.560001,34.639999,31.953865,17608200\n2013-01-17,34.759998,34.810001,34.599998,34.619999,31.935419,17827100\n2013-01-18,34.590000,35.130001,34.410000,35.110001,32.387417,30088900\n2013-01-22,34.950001,34.980000,34.529999,34.930000,32.221378,19309500\n2013-01-23,34.959999,35.200001,34.689999,34.689999,31.999990,17235800\n2013-01-24,34.880001,35.400002,34.810001,34.939999,32.230595,18662000\n2013-01-25,35.000000,35.400002,34.880001,35.380001,32.636486,18061300\n2013-01-28,35.410000,35.790001,35.380001,35.540001,32.784073,20119500\n2013-01-29,35.360001,35.869999,35.070000,35.779999,33.005466,18284800\n2013-01-30,35.759998,35.880001,35.290001,35.380001,32.636486,14249900\n2013-01-31,35.270000,35.689999,35.250000,35.509998,32.756397,19077700\n2013-02-01,35.869999,36.310001,35.810001,36.209999,33.402119,27725700\n2013-02-04,35.810001,36.000000,35.029999,35.130001,32.405876,23595800\n2013-02-05,35.209999,35.720001,35.139999,35.480000,32.728729,16662700\n2013-02-06,35.310001,35.419998,35.009998,35.099998,32.378181,15603500\n2013-02-07,35.150002,35.189999,34.450001,34.560001,31.880070,26869300\n2013-02-08,34.759998,34.980000,34.500000,34.900002,32.193707,19255700\n2013-02-11,34.980000,35.040001,34.549999,34.959999,32.249046,12648800\n2013-02-12,34.889999,35.250000,34.849998,35.110001,32.387417,14666300\n2013-02-13,35.209999,35.259998,34.880001,34.990002,32.276730,13176800\n2013-02-14,34.869999,35.070000,34.689999,34.900002,32.193707,15886800\n2013-02-15,34.799999,34.990002,34.650002,34.810001,32.110687,18406000\n2013-02-19,34.930000,35.410000,34.820000,35.400002,32.654938,16446000\n2013-02-20,35.500000,35.590000,35.000000,35.009998,32.295170,16263700\n2013-02-21,34.950001,34.950001,34.169998,34.279999,31.621773,20923100\n2013-02-22,34.509998,34.779999,34.130001,34.750000,32.055332,13754700\n2013-02-25,35.070000,35.430000,34.270000,34.279999,31.621773,19992900\n2013-02-26,34.279999,34.570000,34.080002,34.320000,31.658682,15839500\n2013-02-27,34.250000,34.970001,34.060001,34.680000,31.990761,15671400\n2013-02-28,34.700001,34.860001,34.220001,34.240002,31.584881,23816400\n2013-03-01,34.119999,34.830002,34.000000,34.630001,31.944637,20376000\n2013-03-04,34.529999,35.080002,34.400002,35.049999,32.332066,14750500\n2013-03-05,35.220001,35.680000,35.209999,35.459999,32.710278,15410100\n2013-03-06,35.500000,35.930000,35.480000,35.860001,33.079262,21340800\n2013-03-07,35.939999,36.130001,35.759998,35.939999,33.153061,15098100\n2013-03-08,35.939999,36.090000,35.669998,35.709999,32.940887,14985000\n2013-03-11,35.700001,35.980000,35.639999,35.880001,33.097706,14111600\n2013-03-12,35.849998,35.849998,35.160000,35.430000,32.682602,18411100\n2013-03-13,35.820000,35.849998,35.349998,35.580002,32.820972,21228800\n2013-03-14,35.799999,36.330002,35.619999,36.299999,33.485146,21040700\n2013-03-15,36.110001,36.430000,36.099998,36.340000,33.522034,56178100\n2013-03-18,36.099998,36.419998,36.000000,36.040001,33.245304,20654800\n2013-03-19,36.180000,36.230000,35.410000,35.689999,32.922440,20548800\n2013-03-20,35.980000,36.070000,35.400002,35.770000,32.996235,41088100\n2013-03-21,32.779999,32.939999,32.180000,32.299999,29.795315,132669500\n2013-03-22,32.400002,32.500000,31.639999,31.980000,29.500128,64333500\n2013-03-25,32.049999,32.200001,31.160000,31.250000,28.826740,39694400\n2013-03-26,31.410000,31.790001,31.410000,31.540001,29.094248,29420300\n2013-03-27,31.410000,32.110001,31.290001,31.950001,29.472458,35028500\n2013-03-28,31.889999,32.389999,31.790001,32.330002,29.822989,23676700\n2013-04-01,32.360001,32.459999,32.040001,32.410000,29.896786,18677600\n2013-04-02,32.650002,32.939999,32.529999,32.740002,30.201202,22619600\n2013-04-03,32.930000,32.939999,32.200001,32.400002,29.887566,25545200\n2013-04-04,32.360001,32.509998,32.230000,32.369999,29.859888,18163800\n2013-04-05,31.770000,32.119999,31.670000,32.029999,29.546255,24415300\n2013-04-08,32.070000,32.360001,31.900000,32.360001,29.850662,14134400\n2013-04-09,32.500000,33.080002,32.459999,33.040001,30.477940,30087400\n2013-04-10,33.150002,33.950001,33.150002,33.730000,31.114424,35941000\n2013-04-11,33.619999,33.919998,33.560001,33.619999,31.012959,23080700\n2013-04-12,33.639999,33.669998,33.020000,33.459999,30.865362,18408200\n2013-04-15,33.389999,33.500000,32.799999,32.799999,30.256536,19617500\n2013-04-16,32.950001,33.490002,32.910000,33.419998,30.828463,17310600\n2013-04-17,33.099998,33.130001,32.450001,32.490002,29.970589,25277000\n2013-04-18,32.650002,32.799999,31.900000,32.119999,29.629274,24892500\n2013-04-19,31.750000,32.459999,31.670000,32.369999,29.859888,30391400\n2013-04-22,32.490002,32.660000,32.160000,32.520000,29.998255,18754900\n2013-04-23,32.720001,33.000000,32.369999,32.459999,29.942902,23964900\n2013-04-24,32.490002,32.830002,32.439999,32.509998,29.989031,22601800\n2013-04-25,32.560001,32.580002,32.209999,32.270000,29.767647,25910200\n2013-04-26,32.200001,32.529999,32.169998,32.360001,29.850662,22376200\n2013-04-29,32.389999,32.500000,32.139999,32.240002,29.739971,31381300\n2013-04-30,32.220001,32.869999,32.220001,32.779999,30.238091,50028100\n2013-05-01,32.750000,33.619999,32.720001,33.160000,30.588631,32712000\n2013-05-02,33.110001,33.779999,32.980000,33.689999,31.077528,22992700\n2013-05-03,33.930000,33.950001,33.279999,33.380001,30.791565,23976800\n2013-05-06,33.439999,33.509998,33.080002,33.509998,30.911486,17964500\n2013-05-07,33.529999,33.790001,33.189999,33.259998,30.680868,17955000\n2013-05-08,33.090000,33.570000,33.090000,33.459999,30.865362,21382700\n2013-05-09,33.299999,34.000000,33.279999,33.700001,31.086754,18722100\n2013-05-10,33.830002,34.029999,33.650002,34.020000,31.381947,17364100\n2013-05-13,33.950001,34.000000,33.650002,33.779999,31.160553,12193400\n2013-05-14,33.650002,34.250000,33.549999,33.669998,31.059084,23560400\n2013-05-15,33.740002,34.099998,33.709999,33.990002,31.354259,18360500\n2013-05-16,34.090000,34.610001,34.090000,34.369999,31.704798,25526300\n2013-05-17,34.590000,35.029999,34.439999,35.029999,32.313614,26986800\n2013-05-20,34.810001,35.029999,34.560001,34.900002,32.193707,18326400\n2013-05-21,34.900002,35.320000,34.900002,35.099998,32.378181,19682900\n2013-05-22,35.070000,35.150002,33.919998,34.119999,31.474184,33742400\n2013-05-23,33.950001,34.410000,33.860001,34.230000,31.575651,20442500\n2013-05-24,33.689999,34.139999,33.419998,34.049999,31.409618,22642500\n2013-05-28,34.669998,34.779999,34.259998,34.529999,31.852386,21432200\n2013-05-29,34.400002,34.560001,34.119999,34.400002,31.732477,16004800\n2013-05-30,34.490002,34.790001,34.340000,34.340000,31.677116,17928400\n2013-05-31,34.119999,34.459999,33.750000,33.779999,31.160553,24412100\n2013-06-03,33.849998,34.400002,33.730000,34.389999,31.723244,19782700\n2013-06-04,34.340000,34.750000,33.959999,34.160000,31.511086,20324900\n2013-06-05,34.099998,34.610001,34.000000,34.119999,31.474184,22005600\n2013-06-06,33.980000,33.980000,33.130001,33.349998,30.763895,29158700\n2013-06-07,33.590000,34.029999,33.320000,33.810001,31.188236,20548900\n2013-06-10,33.980000,34.090000,33.820000,34.049999,31.409618,16901500\n2013-06-11,33.660000,34.150002,33.490002,33.570000,30.966839,15274500\n2013-06-12,33.830002,33.869999,33.500000,33.520000,30.920706,13731100\n2013-06-13,33.470001,34.320000,33.410000,34.250000,31.594107,15727400\n2013-06-14,34.150002,34.320000,33.700001,33.770000,31.151321,17551400\n2013-06-17,34.029999,34.630001,34.000000,34.270000,31.612556,19398200\n2013-06-18,34.259998,34.590000,34.209999,34.400002,31.732477,16949300\n2013-06-19,34.430000,34.590000,34.080002,34.090000,31.446512,19408400\n2013-06-20,33.880001,34.020000,33.029999,33.209999,30.634750,35222400\n2013-06-21,30.709999,30.840000,29.980000,30.139999,27.802814,140813500\n2013-06-24,30.120001,30.440001,30.030001,30.170000,27.830486,78919200\n2013-06-25,30.500000,30.530001,29.889999,29.959999,27.636766,64051500\n2013-06-26,30.190001,30.230000,29.860001,30.139999,27.802814,52429800\n2013-06-27,30.309999,31.139999,30.290001,30.450001,28.088776,43014900\n2013-06-28,30.280001,30.809999,30.250000,30.709999,28.328608,39787100\n2013-07-01,30.889999,30.980000,30.070000,30.110001,27.775137,33962900\n2013-07-02,30.090000,30.350000,29.950001,30.100000,27.765917,33114500\n2013-07-03,30.049999,30.799999,30.040001,30.700001,28.319387,18629700\n2013-07-05,30.990000,31.200001,30.540001,31.190001,28.771393,22193800\n2013-07-08,31.350000,31.650000,31.250000,31.650000,29.195726,28904300\n2013-07-09,31.500000,31.600000,31.230000,31.520000,29.075800,28854300\n2013-07-10,31.360001,31.440001,31.049999,31.230000,28.918385,28458600\n2013-07-11,31.570000,32.000000,31.570000,31.860001,29.501751,33193000\n2013-07-12,31.900000,32.000000,31.240000,31.250000,28.936905,157674700\n2013-07-15,31.480000,32.049999,31.320000,32.009998,29.640652,36543400\n2013-07-16,31.990000,32.150002,31.860001,32.000000,29.631388,22531400\n2013-07-17,32.070000,32.439999,32.049999,32.160000,29.779552,22357000\n2013-07-18,31.959999,32.459999,31.809999,32.009998,29.640652,23615600\n2013-07-19,32.029999,32.029999,31.510000,31.860001,29.501751,28512000\n2013-07-22,31.790001,31.900000,31.700001,31.870001,29.511015,16760100\n2013-07-23,31.870001,32.189999,31.809999,32.070000,29.696209,16771000\n2013-07-24,32.380001,32.560001,32.299999,32.389999,29.992521,20003600\n2013-07-25,32.410000,32.410000,31.969999,32.369999,29.974003,21050300\n2013-07-26,32.360001,32.599998,32.160000,32.540001,30.131420,17308500\n2013-07-29,32.389999,32.560001,32.169998,32.480000,30.075861,16119300\n2013-07-30,32.599998,32.709999,32.490002,32.549999,30.140682,18340700\n2013-07-31,32.580002,32.750000,31.950001,32.349998,29.955482,30540500\n2013-08-01,32.619999,32.830002,32.400002,32.750000,30.325884,15797000\n2013-08-02,32.619999,32.700001,32.480000,32.570000,30.159199,18998100\n2013-08-05,32.590000,32.900002,32.549999,32.779999,30.353651,11151300\n2013-08-06,32.750000,33.220001,32.700001,33.000000,30.557367,18620900\n2013-08-07,32.770000,33.000000,32.680000,32.820000,30.390694,17416900\n2013-08-08,32.910000,33.099998,32.759998,33.020000,30.575895,14204600\n2013-08-09,32.910000,33.110001,32.700001,32.919998,30.483288,11646000\n2013-08-12,32.810001,33.340000,32.750000,33.250000,30.788860,11746400\n2013-08-13,33.389999,33.459999,33.110001,33.250000,30.788860,12738700\n2013-08-14,33.259998,33.650002,33.230000,33.570000,31.085184,19684400\n2013-08-15,33.240002,33.240002,32.540001,32.730000,30.307360,19574600\n2013-08-16,32.599998,32.849998,32.299999,32.410000,30.011042,19504100\n2013-08-19,32.400002,32.700001,32.009998,32.060001,29.686951,13385600\n2013-08-20,32.060001,32.419998,32.000000,32.200001,29.816584,13870200\n2013-08-21,32.189999,32.619999,32.099998,32.299999,29.909182,11955400\n2013-08-22,32.419998,32.529999,32.130001,32.400002,30.001785,10271600\n2013-08-23,32.380001,32.660000,31.770000,31.770000,29.418417,27128400\n2013-08-26,31.760000,32.599998,31.760000,32.340000,29.946230,18888600\n2013-08-27,31.650000,32.200001,31.600000,31.780001,29.427675,16061600\n2013-08-28,31.790001,31.910000,31.660000,31.660000,29.316557,15919100\n2013-08-29,31.570000,31.980000,31.559999,31.700001,29.353600,14012100\n2013-08-30,31.740000,32.099998,31.709999,31.860001,29.501751,14044300\n2013-09-03,32.169998,32.369999,31.820000,32.020000,29.649908,14647300\n2013-09-04,32.009998,32.490002,31.959999,32.320000,29.927698,13040800\n2013-09-05,32.380001,32.520000,32.160000,32.259998,29.872139,11437900\n2013-09-06,32.299999,32.459999,31.850000,32.200001,29.816584,12625400\n2013-09-09,32.310001,32.889999,32.250000,32.750000,30.325884,12400500\n2013-09-10,32.799999,32.990002,32.750000,32.860001,30.427734,15918900\n2013-09-11,32.869999,33.230000,32.740002,33.020000,30.575895,19692300\n2013-09-12,33.009998,33.110001,32.740002,32.790001,30.362913,16250100\n2013-09-13,32.840000,32.869999,32.349998,32.459999,30.057335,17638400\n2013-09-16,32.840000,33.150002,32.779999,32.970001,30.529598,25316900\n2013-09-17,32.990002,33.430000,32.930000,33.259998,30.798122,20282300\n2013-09-18,33.209999,33.910000,33.130001,33.869999,31.362978,39152100\n2013-09-19,33.639999,34.000000,33.250000,33.889999,31.381487,63316300\n2013-09-20,33.939999,34.130001,33.669998,34.049999,31.529655,53470400\n2013-09-23,33.799999,34.340000,33.750000,33.939999,31.427792,26293100\n2013-09-24,33.830002,33.889999,33.590000,33.639999,31.149996,18958300\n2013-09-25,33.759998,34.090000,33.700001,33.869999,31.362978,19653100\n2013-09-26,33.980000,34.259998,33.689999,33.810001,31.307426,15621000\n2013-09-27,33.630001,33.950001,33.509998,33.779999,31.279638,14068700\n2013-09-30,33.490002,33.529999,33.040001,33.169998,30.714790,25132600\n2013-10-01,33.200001,33.549999,33.060001,33.500000,31.020361,16300300\n2013-10-02,33.310001,33.730000,33.259998,33.680000,31.187037,19451600\n2013-10-03,33.529999,33.669998,33.080002,33.240002,30.779608,15480100\n2013-10-04,33.180000,33.490002,33.060001,33.209999,30.863247,15054900\n2013-10-07,32.860001,33.240002,32.790001,32.840000,30.519398,14150100\n2013-10-08,32.830002,32.919998,32.270000,32.369999,30.082605,23780400\n2013-10-09,32.450001,32.459999,32.000000,32.189999,29.915327,19656000\n2013-10-10,32.480000,33.000000,32.340000,32.990002,30.658802,21580700\n2013-10-11,33.080002,33.380001,32.939999,33.259998,30.909710,14018800\n2013-10-14,33.009998,33.349998,32.889999,33.279999,30.928297,12882400\n2013-10-15,33.139999,33.259998,32.700001,32.750000,30.435760,20677000\n2013-10-16,32.910000,33.200001,32.889999,33.020000,30.686678,16398300\n2013-10-17,32.619999,33.049999,32.520000,32.869999,30.547274,22821900\n2013-10-18,32.750000,32.990002,32.549999,32.900002,30.575153,17472700\n2013-10-21,33.230000,33.400002,32.830002,32.950001,30.621616,16568800\n2013-10-22,33.090000,33.139999,32.849998,32.900002,30.575153,19741200\n2013-10-23,32.860001,32.889999,32.439999,32.700001,30.389286,24610300\n2013-10-24,32.740002,33.250000,32.730000,33.070000,30.733139,26573600\n2013-10-25,33.209999,33.490002,33.009998,33.150002,30.807489,19820600\n2013-10-28,33.240002,33.459999,33.090000,33.139999,30.798195,17632800\n2013-10-29,33.240002,33.730000,33.240002,33.709999,31.327921,15954700\n2013-10-30,33.820000,33.950001,33.419998,33.529999,31.160637,14959100\n2013-10-31,33.500000,33.910000,33.439999,33.500000,31.132755,16171500\n2013-11-01,33.700001,33.820000,33.430000,33.529999,31.160637,15115800\n2013-11-04,33.700001,33.759998,33.459999,33.709999,31.327921,12725000\n2013-11-05,33.549999,33.689999,33.410000,33.500000,31.132755,11161500\n2013-11-06,33.660000,34.340000,33.619999,34.070000,31.662470,25184600\n2013-11-07,34.180000,34.459999,33.939999,34.000000,31.597422,17101200\n2013-11-08,33.919998,34.349998,33.759998,34.349998,31.922689,14028300\n2013-11-11,34.310001,34.630001,34.279999,34.369999,31.941277,11415100\n2013-11-12,34.459999,34.849998,34.270000,34.700001,32.247952,16145000\n2013-11-13,34.599998,35.000000,34.590000,35.000000,32.526756,14815800\n2013-11-14,34.169998,34.570000,34.060001,34.380001,31.950569,25790900\n2013-11-15,34.360001,34.930000,34.310001,34.919998,32.452415,21477700\n2013-11-18,34.880001,35.130001,34.820000,34.930000,32.461708,15093200\n2013-11-19,34.990002,34.990002,34.630001,34.759998,32.303726,14532900\n2013-11-20,34.840000,34.970001,34.669998,34.750000,32.294422,12165500\n2013-11-21,34.840000,35.049999,34.709999,34.939999,32.470997,11773000\n2013-11-22,34.820000,34.970001,34.680000,34.830002,32.368778,13826300\n2013-11-25,34.919998,34.959999,34.599998,34.779999,32.322304,14753800\n2013-11-26,34.689999,35.160000,34.610001,34.930000,32.461708,28403700\n2013-11-27,35.060001,35.400002,35.020000,35.290001,32.796261,16120200\n2013-11-29,35.099998,35.419998,35.040001,35.290001,32.796261,11851500\n2013-12-02,35.369999,35.389999,34.959999,35.080002,32.601112,20284400\n2013-12-03,34.990002,35.110001,34.840000,35.070000,32.591816,16545300\n2013-12-04,34.900002,35.180000,34.820000,35.070000,32.591816,20004000\n2013-12-05,35.169998,35.169998,34.820000,34.849998,32.387356,20839500\n2013-12-06,35.150002,35.509998,35.099998,35.480000,32.972843,15995300\n2013-12-09,35.480000,35.750000,35.400002,35.599998,33.084358,16795000\n2013-12-10,35.419998,35.470001,34.770000,34.799999,32.340889,25491700\n2013-12-11,34.950001,35.060001,34.419998,34.560001,32.117855,17184000\n2013-12-12,33.849998,33.900002,33.290001,33.599998,31.225689,30946000\n2013-12-13,33.660000,33.700001,33.220001,33.230000,30.881830,18221200\n2013-12-16,33.400002,33.880001,33.349998,33.540001,31.169922,22756300\n2013-12-17,33.630001,33.790001,33.380001,33.630001,31.253567,21782100\n2013-12-18,33.869999,34.759998,33.700001,34.599998,32.155018,40179900\n2013-12-19,35.520000,36.959999,35.500000,36.599998,34.013691,62855300\n2013-12-20,36.650002,36.799999,36.369999,36.369999,33.799957,40783000\n2013-12-23,36.529999,37.020000,36.520000,36.930000,34.320377,18002800\n2013-12-24,36.959999,37.380001,36.880001,37.320000,34.682816,9670100\n2013-12-26,37.330002,37.750000,37.299999,37.689999,35.026672,11516900\n2013-12-27,37.889999,38.220001,37.779999,37.980000,35.296185,15373100\n2013-12-30,37.950001,38.110001,37.810001,37.990002,35.305481,11683000\n2013-12-31,37.939999,38.340000,37.880001,38.259998,35.556389,11746400\n2014-01-02,37.779999,38.029999,37.549999,37.840000,35.166069,18162100\n2014-01-03,37.650002,37.860001,37.560001,37.619999,35.072853,11693900\n2014-01-06,37.639999,37.799999,37.419998,37.470001,34.932995,15329400\n2014-01-07,37.660000,37.930000,37.500000,37.849998,35.287270,16792200\n2014-01-08,37.790001,37.910000,37.560001,37.720001,35.166077,16111600\n2014-01-09,37.849998,37.849998,37.459999,37.650002,35.100822,13623500\n2014-01-10,37.750000,38.139999,37.590000,38.110001,35.529667,15402900\n2014-01-13,37.950001,38.200001,37.700001,37.750000,35.194050,20848300\n2014-01-14,37.779999,38.250000,37.709999,38.209999,35.622894,13486400\n2014-01-15,38.200001,38.570000,38.119999,38.410000,35.809361,17010900\n2014-01-16,38.389999,38.770000,38.169998,38.290001,35.697491,13463000\n2014-01-17,38.119999,38.470001,38.029999,38.209999,35.622894,14051100\n2014-01-21,38.520000,38.520000,37.799999,38.110001,35.529667,13540000\n2014-01-22,38.029999,38.279999,37.950001,37.980000,35.408474,14006300\n2014-01-23,38.169998,38.259998,37.930000,38.150002,35.566963,14174200\n2014-01-24,37.919998,37.959999,37.110001,37.110001,34.597382,26815600\n2014-01-27,37.259998,37.369999,36.490002,36.490002,34.019360,19073800\n2014-01-28,36.599998,37.130001,36.580002,37.099998,34.588047,13899900\n2014-01-29,37.180000,37.250000,36.709999,36.970001,34.466854,16553600\n2014-01-30,37.189999,37.560001,37.080002,37.400002,34.867741,12975500\n2014-01-31,37.029999,37.200001,36.680000,36.900002,34.401588,17039700\n2014-02-03,37.090000,37.090000,35.820000,35.840000,33.413364,21272600\n2014-02-04,35.650002,36.020000,35.439999,35.959999,33.525238,16228000\n2014-02-05,35.520000,36.250000,35.470001,35.950001,33.515923,11458400\n2014-02-06,36.119999,36.830002,36.110001,36.720001,34.233772,14762200\n2014-02-07,36.880001,37.230000,36.709999,37.189999,34.671955,13114700\n2014-02-10,37.240002,37.439999,37.070000,37.299999,34.774513,10976900\n2014-02-11,37.500000,37.900002,37.389999,37.840000,35.277946,12066100\n2014-02-12,37.799999,38.250000,37.660000,38.070000,35.492378,12343200\n2014-02-13,37.840000,38.490002,37.779999,38.419998,35.818676,11683200\n2014-02-14,38.330002,38.330002,37.919998,37.980000,35.408474,15641400\n2014-02-18,38.060001,38.119999,37.730000,37.970001,35.399147,10560300\n2014-02-19,37.830002,38.299999,37.799999,37.869999,35.305916,12491400\n2014-02-20,37.840000,38.349998,37.700001,38.270000,35.678833,11786000\n2014-02-21,38.330002,38.490002,38.080002,38.099998,35.520336,13243600\n2014-02-24,38.160000,38.459999,38.040001,38.139999,35.557640,10388100\n2014-02-25,38.110001,38.430000,37.889999,38.250000,35.660191,11766400\n2014-02-26,38.419998,38.830002,38.349998,38.500000,35.893257,11482900\n2014-02-27,38.500000,39.099998,38.360001,38.950001,36.312805,14055700\n2014-02-28,38.950001,39.369999,38.650002,39.110001,36.461967,19257800\n2014-03-03,38.720001,38.990002,38.380001,38.509998,35.902576,13293700\n2014-03-04,39.139999,39.500000,39.060001,39.410000,36.741653,13682100\n2014-03-05,39.410000,39.700001,39.299999,39.500000,36.825558,11929200\n2014-03-06,39.680000,39.849998,39.419998,39.459999,36.788265,13081900\n2014-03-07,39.570000,39.590000,38.599998,38.830002,36.200920,13821500\n2014-03-10,38.820000,38.950001,38.650002,38.860001,36.228897,8670300\n2014-03-11,39.000000,39.020000,38.619999,38.900002,36.266186,12841500\n2014-03-12,38.820000,38.820000,38.279999,38.520000,35.911907,13226200\n2014-03-13,38.619999,38.660000,37.520000,37.650002,35.100822,15361200\n2014-03-14,37.689999,38.000000,37.500000,37.599998,35.054203,14308300\n2014-03-17,37.799999,38.480000,37.799999,38.220001,35.632221,14981300\n2014-03-18,38.369999,38.939999,38.160000,38.840000,36.210239,29707200\n2014-03-19,37.799999,38.959999,37.400002,38.549999,35.939880,45154900\n2014-03-20,38.500000,38.689999,38.009998,38.369999,35.772049,18960200\n2014-03-21,38.700001,38.849998,37.500000,37.500000,34.960968,33897900\n2014-03-24,37.490002,38.340000,37.380001,38.180000,35.594929,22539000\n2014-03-25,38.130001,38.500000,38.099998,38.400002,35.800026,19750600\n2014-03-26,38.400002,39.459999,38.360001,39.080002,36.433994,31357500\n2014-03-27,38.990002,39.560001,38.799999,39.240002,36.583157,26283600\n2014-03-28,39.520000,39.860001,39.189999,39.570000,36.890823,18405100\n2014-03-31,39.750000,41.430000,39.630001,40.910000,38.140087,48340300\n2014-04-01,41.040001,42.000000,40.959999,41.490002,38.680820,35431800\n2014-04-02,41.369999,41.619999,40.849998,41.130001,38.345192,22754900\n2014-04-03,41.040001,41.139999,40.340000,40.369999,37.636642,22497000\n2014-04-04,40.599998,40.730000,39.660000,39.980000,37.384174,23836200\n2014-04-07,39.799999,39.919998,39.040001,39.470001,36.907307,27311900\n2014-04-08,39.439999,40.349998,39.360001,40.240002,37.627296,22197600\n2014-04-09,40.470001,40.919998,40.180000,40.880001,38.225746,20314000\n2014-04-10,40.889999,41.049999,39.480000,39.790001,37.206516,26397800\n2014-04-11,39.509998,39.880001,38.970001,38.980000,36.449104,18655800\n2014-04-14,39.080002,39.750000,39.080002,39.570000,37.000805,16022000\n2014-04-15,39.700001,39.980000,39.240002,39.730000,37.150414,14553400\n2014-04-16,39.939999,40.150002,39.509998,40.130001,37.524445,13614800\n2014-04-17,39.959999,40.180000,39.389999,40.080002,37.477695,14644100\n2014-04-21,40.240002,40.439999,40.060001,40.240002,37.627296,8593600\n2014-04-22,40.270000,40.619999,40.139999,40.459999,37.833012,10396100\n2014-04-23,40.279999,40.340000,39.750000,39.790001,37.206516,10048500\n2014-04-24,39.759998,39.860001,39.020000,39.750000,37.169109,13966400\n2014-04-25,39.810001,39.810001,39.230000,39.450001,36.888588,11647800\n2014-04-28,39.750000,40.279999,39.650002,40.130001,37.524445,20141200\n2014-04-29,40.250000,40.610001,40.070000,40.110001,37.505741,14996300\n2014-04-30,40.090000,40.930000,40.020000,40.880001,38.225746,16480900\n2014-05-01,40.720001,41.189999,40.639999,40.970001,38.309902,13945500\n2014-05-02,41.160000,41.209999,40.810001,40.810001,38.160286,10710100\n2014-05-05,41.130001,41.259998,40.770000,41.209999,38.534317,13722700\n2014-05-06,41.000000,41.290001,40.970001,41.009998,38.347301,12647500\n2014-05-07,41.150002,41.279999,40.490002,41.060001,38.394058,12570400\n2014-05-08,41.090000,41.259998,40.549999,40.869999,38.216400,10212900\n2014-05-09,40.799999,41.259998,40.540001,41.040001,38.375355,10262400\n2014-05-12,41.220001,42.139999,41.189999,41.950001,39.226269,18751400\n2014-05-13,42.020000,42.090000,41.639999,41.889999,39.170166,10319200\n2014-05-14,41.980000,42.020000,41.709999,41.880001,39.160816,14015200\n2014-05-15,41.840000,42.169998,41.639999,41.930000,39.207577,19267000\n2014-05-16,41.889999,41.970001,41.320000,41.689999,38.983154,15497400\n2014-05-19,41.480000,42.200001,41.410000,42.160000,39.422634,11929700\n2014-05-20,42.070000,42.099998,41.450001,41.560001,38.861603,10580200\n2014-05-21,41.669998,41.790001,41.480000,41.680000,38.973804,11151700\n2014-05-22,41.599998,41.939999,41.509998,41.520000,38.824196,12276200\n2014-05-23,41.650002,42.230000,41.490002,42.150002,39.413288,12044200\n2014-05-27,42.259998,42.349998,41.730000,41.910000,39.188869,12680200\n2014-05-28,41.990002,42.189999,41.560001,41.570000,38.870949,11308800\n2014-05-29,41.790001,42.209999,41.610001,42.200001,39.460037,9629500\n2014-05-30,42.080002,42.200001,41.849998,42.020000,39.291733,13496500\n2014-06-02,41.959999,42.020000,41.610001,41.970001,39.244972,11284900\n2014-06-03,41.840000,41.919998,41.580002,41.810001,39.095356,10968400\n2014-06-04,41.790001,41.790001,41.330002,41.700001,38.992508,8936300\n2014-06-05,41.849998,42.330002,41.740002,42.099998,39.366535,10647800\n2014-06-06,42.290001,42.630001,42.250000,42.630001,39.862125,11447800\n2014-06-09,42.650002,42.810001,42.410000,42.700001,39.927574,10307400\n2014-06-10,42.570000,42.880001,42.490002,42.660000,39.890175,13457200\n2014-06-11,42.450001,42.880001,42.360001,42.560001,39.796661,9622700\n2014-06-12,42.529999,42.619999,41.840000,42.000000,39.273022,11060900\n2014-06-13,42.049999,42.180000,41.709999,42.139999,39.403923,10324600\n2014-06-16,42.000000,42.230000,41.770000,42.150002,39.413288,8150200\n2014-06-17,42.189999,42.700001,41.980000,42.320000,39.572247,12792400\n2014-06-18,42.380001,42.860001,42.299999,42.810001,40.030437,10307000\n2014-06-19,42.930000,43.189999,42.430000,42.509998,39.749908,27255800\n2014-06-20,40.259998,40.939999,39.930000,40.820000,38.169636,65103700\n2014-06-23,40.930000,41.330002,40.750000,41.099998,38.431465,16956600\n2014-06-24,40.990002,41.389999,40.660000,40.759998,38.113522,16459200\n2014-06-25,40.730000,40.840000,40.389999,40.459999,37.833012,13889400\n2014-06-26,40.549999,40.549999,39.980000,40.150002,37.543140,16642500\n2014-06-27,40.029999,40.660000,40.029999,40.529999,37.898464,15320500\n2014-06-30,40.599998,40.820000,40.490002,40.529999,37.898464,14098200\n2014-07-01,40.410000,40.910000,40.410000,40.770000,38.122887,13147000\n2014-07-02,40.930000,41.200001,40.770000,40.950001,38.291203,13400200\n2014-07-03,40.980000,41.360001,40.970001,41.340000,38.655888,7863600\n2014-07-07,41.009998,41.110001,40.750000,40.889999,38.346409,11959400\n2014-07-08,40.689999,40.849998,40.380001,40.560001,38.036942,12350600\n2014-07-09,40.610001,40.720001,39.990002,40.259998,37.755585,14711600\n2014-07-10,39.889999,40.520000,39.889999,40.320000,37.811855,9566900\n2014-07-11,40.490002,40.490002,39.980000,40.130001,37.633686,11942300\n2014-07-14,40.430000,40.680000,40.259998,40.490002,37.971291,13586800\n2014-07-15,40.380001,40.810001,40.360001,40.540001,38.018177,11813800\n2014-07-16,40.810001,40.880001,40.130001,40.259998,37.755585,14722600\n2014-07-17,40.209999,40.709999,39.860001,39.910000,37.427368,24447800\n2014-07-18,39.980000,40.160000,39.889999,40.000000,37.511768,19123500\n2014-07-21,40.029999,40.240002,39.919998,40.009998,37.521152,15864700\n2014-07-22,40.139999,40.700001,39.959999,40.430000,37.915028,13728100\n2014-07-23,40.430000,40.650002,40.240002,40.310001,37.802479,9191700\n2014-07-24,40.349998,40.669998,40.349998,40.470001,37.952534,10797700\n2014-07-25,40.270000,40.639999,40.270000,40.330002,37.821239,7483800\n2014-07-28,40.310001,40.820000,40.230000,40.549999,38.027554,9658200\n2014-07-29,40.709999,40.919998,40.500000,40.630001,38.102581,9450400\n2014-07-30,40.709999,41.029999,40.580002,40.959999,38.412048,11406300\n2014-07-31,40.650002,40.939999,40.349998,40.389999,37.877506,13689500\n2014-08-01,40.189999,40.529999,39.570000,39.610001,37.146038,15074700\n2014-08-04,39.630001,40.220001,39.529999,40.099998,37.605545,12356200\n2014-08-05,40.009998,40.380001,39.810001,39.959999,37.474258,8806600\n2014-08-06,39.849998,40.349998,39.779999,40.160000,37.661819,8184800\n2014-08-07,40.299999,40.430000,39.590000,39.669998,37.202290,9180500\n2014-08-08,39.730000,39.970001,39.560001,39.939999,37.455502,8862000\n2014-08-11,39.990002,40.139999,39.810001,39.919998,37.436737,10292800\n2014-08-12,39.740002,40.040001,39.730000,39.900002,37.417995,6704300\n2014-08-13,40.119999,40.299999,40.020000,40.240002,37.736843,10629700\n2014-08-14,40.290001,40.400002,39.980000,40.220001,37.718086,9707000\n2014-08-15,40.240002,40.590000,39.980000,40.279999,37.774349,13418800\n2014-08-18,40.450001,40.770000,40.400002,40.639999,38.111950,7633600\n2014-08-19,40.720001,41.580002,40.639999,41.410000,38.834057,14378600\n2014-08-20,41.580002,41.580002,41.090000,41.250000,38.684006,9627100\n2014-08-21,41.160000,41.810001,41.160000,41.580002,38.993484,9569200\n2014-08-22,41.340000,41.799999,41.270000,41.630001,39.040375,9260700\n2014-08-25,41.740002,42.040001,41.639999,41.740002,39.143536,8856700\n2014-08-26,41.849998,42.000000,41.779999,41.840000,39.237309,7320800\n2014-08-27,41.750000,41.799999,41.419998,41.639999,39.049747,8440000\n2014-08-28,41.669998,41.669998,41.209999,41.270000,38.702766,8737100\n2014-08-29,41.240002,41.730000,41.240002,41.529999,38.946590,8970900\n2014-09-02,41.599998,41.680000,41.459999,41.660000,39.068508,8538600\n2014-09-03,41.799999,41.950001,41.619999,41.900002,39.293579,10041600\n2014-09-04,41.889999,42.090000,41.369999,41.549999,38.965351,12248100\n2014-09-05,41.610001,41.759998,41.259998,41.270000,38.702766,15155600\n2014-09-08,41.009998,41.180000,40.270000,40.639999,38.111950,19658500\n2014-09-09,40.509998,40.910000,40.430000,40.709999,38.177605,14044100\n2014-09-10,40.700001,40.810001,40.570000,40.709999,38.177605,9134500\n2014-09-11,40.250000,40.689999,40.200001,40.680000,38.149467,12389100\n2014-09-12,40.740002,40.740002,40.400002,40.500000,37.980663,11912300\n2014-09-15,40.500000,40.770000,40.209999,40.660000,38.130707,14018100\n2014-09-16,40.810001,41.330002,40.500000,41.189999,38.627747,13220100\n2014-09-17,41.189999,41.330002,40.770000,41.139999,38.580856,14083300\n2014-09-18,41.349998,41.770000,41.200001,41.549999,38.965351,26454500\n2014-09-19,40.580002,40.660000,39.279999,39.799999,37.324219,86679100\n2014-09-22,39.680000,39.740002,39.240002,39.580002,37.117893,24572600\n2014-09-23,39.500000,39.590000,38.799999,38.830002,36.414551,34353300\n2014-09-24,38.770000,39.560001,38.570000,39.419998,36.967842,18937000\n2014-09-25,39.349998,39.349998,38.650002,38.759998,36.348900,13287800\n2014-09-26,38.770000,39.009998,38.520000,38.950001,36.527084,16006400\n2014-09-29,38.570000,38.630001,38.270000,38.439999,36.048805,16586000\n2014-09-30,38.459999,38.570000,38.139999,38.279999,35.898754,21143300\n2014-10-01,38.320000,38.410000,37.950001,38.090000,35.720577,17452400\n2014-10-02,38.150002,38.549999,37.919998,38.270000,35.889385,14808100\n2014-10-03,38.500000,39.119999,38.400002,38.889999,36.470814,15289500\n2014-10-06,38.970001,39.240002,38.950001,39.080002,36.762436,14168000\n2014-10-07,38.939999,39.080002,38.430000,38.459999,36.179203,14309200\n2014-10-08,38.820000,39.049999,38.040001,39.020000,36.705994,16005500\n2014-10-09,38.990002,39.209999,38.509998,38.740002,36.442600,15004900\n2014-10-10,38.660000,39.099998,38.090000,38.099998,35.840542,18234100\n2014-10-13,38.110001,38.779999,37.860001,38.230000,35.962833,20723700\n2014-10-14,38.660000,39.040001,38.419998,38.459999,36.179203,19508500\n2014-10-15,37.980000,38.430000,37.180000,38.299999,36.028690,24561500\n2014-10-16,37.990002,38.180000,37.520000,37.560001,35.332577,21419300\n2014-10-17,37.689999,38.020000,37.340000,37.869999,35.624191,21122700\n2014-10-20,36.310001,37.810001,35.820000,37.799999,35.558342,16654100\n2014-10-21,38.290001,38.470001,38.040001,38.349998,36.075722,15381900\n2014-10-22,38.369999,38.430000,37.580002,37.639999,35.407825,16810200\n2014-10-23,38.080002,38.500000,38.009998,38.230000,35.962833,9659100\n2014-10-24,38.320000,38.740002,38.250000,38.730000,36.433197,8975900\n2014-10-27,38.500000,38.720001,38.349998,38.430000,36.150974,7525300\n2014-10-28,38.340000,38.730000,38.340000,38.650002,36.357933,11631800\n2014-10-29,38.730000,38.740002,38.459999,38.580002,36.292084,10923800\n2014-10-30,38.400002,38.660000,38.389999,38.500000,36.216820,9644400\n2014-10-31,38.880001,39.049999,38.830002,39.049999,36.734211,16142800\n2014-11-03,39.020000,39.040001,38.759998,38.990002,36.677769,10318600\n2014-11-04,38.930000,39.150002,38.900002,39.130001,36.809471,12671000\n2014-11-05,39.340000,39.509998,39.110001,39.290001,36.959976,12280300\n2014-11-06,39.220001,39.860001,39.110001,39.810001,37.449142,11603400\n2014-11-07,39.689999,39.970001,39.610001,39.939999,37.571430,13728500\n2014-11-10,39.970001,40.490002,39.889999,40.450001,38.051189,11058100\n2014-11-11,40.529999,40.590000,40.349998,40.470001,38.070004,7061000\n2014-11-12,40.560001,40.590000,40.049999,40.139999,37.759575,10965100\n2014-11-13,40.169998,40.770000,39.889999,40.720001,38.305172,11868700\n2014-11-14,40.860001,41.070000,40.630001,40.840000,38.418060,11476500\n2014-11-17,40.709999,41.200001,40.630001,41.160000,38.719078,11987600\n2014-11-18,41.189999,41.480000,41.110001,41.259998,38.813145,9328200\n2014-11-19,41.150002,41.270000,40.810001,40.919998,38.493309,9202600\n2014-11-20,40.709999,41.009998,40.610001,40.919998,38.493309,9062200\n2014-11-21,41.320000,41.500000,41.169998,41.439999,38.982475,12641400\n2014-11-24,41.490002,41.639999,41.360001,41.430000,38.973068,9542100\n2014-11-25,41.509998,41.639999,41.150002,41.150002,38.709671,12404200\n2014-11-26,41.180000,41.910000,41.180000,41.869999,39.386971,11590000\n2014-11-28,41.980000,42.509998,41.889999,42.410000,39.894947,11890100\n2014-12-01,42.009998,42.380001,42.009998,42.080002,39.584522,10802400\n2014-12-02,41.900002,42.360001,41.860001,42.180000,39.678596,9083200\n2014-12-03,41.939999,42.139999,41.639999,42.060001,39.565712,10326000\n2014-12-04,42.119999,42.119999,41.490002,41.889999,39.405788,9177100\n2014-12-05,42.020000,42.020000,41.590000,41.930000,39.443420,8925300\n2014-12-08,41.910000,42.029999,41.330002,41.369999,38.916622,12766500\n2014-12-09,40.980000,41.930000,40.889999,41.869999,39.386971,13897500\n2014-12-10,41.700001,41.810001,40.880001,40.919998,38.493309,12547600\n2014-12-11,41.119999,41.639999,40.709999,40.759998,38.342800,12395800\n2014-12-12,40.240002,40.779999,39.919998,39.950001,37.580837,14108200\n2014-12-15,41.209999,41.650002,40.770000,41.110001,38.672047,22343100\n2014-12-16,40.889999,41.360001,40.610001,40.630001,38.220520,16424500\n2014-12-17,41.060001,41.630001,40.680000,41.160000,38.719078,18151000\n2014-12-18,43.830002,45.369999,43.570000,45.349998,42.660591,54495600\n2014-12-19,45.099998,46.150002,44.980000,46.000000,43.272057,41782200\n2014-12-22,45.570000,46.049999,45.410000,45.650002,42.942802,21264400\n2014-12-23,45.529999,46.500000,45.459999,46.009998,43.281460,14042400\n2014-12-24,46.360001,46.709999,46.150002,46.230000,43.488419,10238200\n2014-12-26,46.189999,46.500000,46.070000,46.099998,43.366119,6901500\n2014-12-29,46.020000,46.090000,45.599998,45.610001,42.905186,9701400\n2014-12-30,45.549999,45.660000,45.290001,45.340000,42.651192,9968400\n2014-12-31,45.450001,45.560001,44.970001,44.970001,42.303135,13269200\n"
  },
  {
    "path": "datas/orcl-2003-2005.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n2003-01-02,10.940000,11.250000,10.800000,11.210000,9.971185,32064900\n2003-01-03,11.190000,11.620000,11.120000,11.560000,10.282507,30879500\n2003-01-06,11.540000,12.110000,11.540000,11.960000,10.638303,45324400\n2003-01-07,11.890000,12.800000,11.760000,12.690000,11.287631,72764800\n2003-01-08,12.570000,12.650000,12.070000,12.120000,10.780618,53623200\n2003-01-09,12.460000,13.180000,12.400000,13.010000,11.572268,71178800\n2003-01-10,12.660000,13.250000,12.490000,13.070000,11.625636,52033600\n2003-01-13,13.300000,13.360000,12.830000,12.930000,11.501109,40588200\n2003-01-14,12.880000,13.200000,12.800000,13.110000,11.661217,39310400\n2003-01-15,13.150000,13.240000,12.460000,12.530000,11.145312,41972100\n2003-01-16,12.510000,12.800000,12.100000,12.170000,10.825096,50428400\n2003-01-17,11.680000,11.740000,11.420000,11.440000,10.175767,55319200\n2003-01-21,11.590000,11.920000,11.470000,11.570000,10.291402,36345400\n2003-01-22,11.590000,12.140000,11.450000,11.620000,10.335875,45273300\n2003-01-23,12.050000,12.590000,11.890000,12.460000,11.083047,46467100\n2003-01-24,12.410000,12.440000,11.670000,11.770000,10.469296,45555000\n2003-01-27,11.800000,12.060000,11.600000,11.930000,10.611618,44095200\n2003-01-28,12.150000,12.160000,11.710000,11.970000,10.647197,36313900\n2003-01-29,11.780000,12.190000,11.550000,12.020000,10.691673,36287500\n2003-01-30,12.080000,12.480000,11.690000,11.750000,10.451510,38272500\n2003-01-31,11.590000,12.180000,11.500000,12.030000,10.700568,48082000\n2003-02-03,12.010000,12.140000,11.890000,12.010000,10.682778,30451300\n2003-02-04,11.850000,12.130000,11.520000,11.730000,10.433721,47845200\n2003-02-05,11.880000,12.040000,11.500000,11.520000,10.246928,41316900\n2003-02-06,11.510000,11.720000,11.330000,11.530000,10.255820,39066500\n2003-02-07,11.740000,11.900000,11.260000,11.340000,10.086818,43943700\n2003-02-10,11.410000,11.800000,11.380000,11.750000,10.451510,33763500\n2003-02-11,11.840000,12.140000,11.720000,11.910000,10.593827,46126300\n2003-02-12,11.820000,11.950000,11.490000,11.500000,10.229136,39650300\n2003-02-13,11.560000,11.690000,11.350000,11.540000,10.264715,34557500\n2003-02-14,11.560000,11.920000,11.350000,11.700000,10.407034,41473100\n2003-02-18,11.900000,12.440000,11.790000,12.420000,11.047471,40391400\n2003-02-19,12.330000,12.370000,12.120000,12.320000,10.958520,34828800\n2003-02-20,12.390000,12.470000,12.230000,12.310000,10.949624,31167700\n2003-02-21,12.180000,12.440000,11.870000,12.390000,11.020787,44233400\n2003-02-24,12.190000,12.450000,11.810000,11.820000,10.513773,45766300\n2003-02-25,11.640000,12.010000,11.480000,11.940000,10.620513,47223800\n2003-02-26,11.910000,12.100000,11.670000,11.720000,10.424827,40775700\n2003-02-27,11.910000,12.090000,11.730000,11.890000,10.576039,36829700\n2003-02-28,11.890000,12.140000,11.830000,11.960000,10.638303,35480000\n2003-03-03,12.200000,12.200000,11.640000,11.690000,10.398142,34375200\n2003-03-04,11.740000,11.860000,11.550000,11.630000,10.344773,37421000\n2003-03-05,11.380000,11.410000,10.990000,11.170000,9.935604,64571400\n2003-03-06,11.180000,11.350000,11.020000,11.160000,9.926711,37140800\n2003-03-07,10.940000,11.300000,10.840000,11.060000,9.837760,44083500\n2003-03-10,10.820000,11.000000,10.670000,10.760000,9.570913,30568300\n2003-03-11,10.810000,10.960000,10.650000,10.680000,9.499754,36460600\n2003-03-12,10.650000,11.060000,10.640000,11.000000,9.784389,41539800\n2003-03-13,11.310000,11.940000,11.190000,11.900000,10.584934,57891600\n2003-03-14,11.890000,12.050000,11.650000,11.940000,10.620513,51565800\n2003-03-17,11.710000,12.450000,11.600000,12.350000,10.985206,56316800\n2003-03-18,12.370000,12.450000,12.060000,12.250000,10.896253,58587300\n2003-03-19,11.650000,11.830000,11.100000,11.310000,10.060135,123560800\n2003-03-20,11.430000,11.600000,11.110000,11.500000,10.229136,55821400\n2003-03-21,11.690000,11.830000,11.270000,11.350000,10.095716,65517600\n2003-03-24,11.140000,11.300000,10.990000,11.030000,9.811075,42180200\n2003-03-25,11.190000,11.490000,11.070000,11.300000,10.051239,41673400\n2003-03-26,11.340000,11.580000,11.250000,11.440000,10.175767,38346100\n2003-03-27,11.300000,11.510000,11.230000,11.360000,10.104609,29790500\n2003-03-28,11.250000,11.390000,11.100000,11.100000,9.873343,27751300\n2003-03-31,10.830000,11.090000,10.820000,10.850000,9.650972,44908800\n2003-04-01,10.880000,10.910000,10.650000,10.760000,9.570913,50467600\n2003-04-02,11.060000,11.560000,10.900000,11.460000,10.193557,48276800\n2003-04-03,11.820000,11.860000,11.540000,11.620000,10.335875,44264100\n2003-04-04,11.660000,11.740000,11.000000,11.370000,10.113503,34937000\n2003-04-07,11.900000,12.510000,11.680000,11.710000,10.415929,45510400\n2003-04-08,11.670000,11.740000,11.480000,11.500000,10.229136,34791300\n2003-04-09,11.620000,11.640000,11.160000,11.170000,9.935604,39120000\n2003-04-10,11.190000,11.450000,11.070000,11.370000,10.113503,31242200\n2003-04-11,11.520000,11.690000,11.200000,11.290000,10.042344,27457400\n2003-04-14,11.330000,11.710000,11.230000,11.660000,10.371456,28588700\n2003-04-15,11.530000,11.750000,11.460000,11.540000,10.264715,33429700\n2003-04-16,11.760000,11.950000,11.560000,11.580000,10.300299,41489400\n2003-04-17,11.550000,12.010000,11.460000,12.000000,10.673881,35670800\n2003-04-21,11.980000,12.190000,11.800000,11.840000,10.531563,29742500\n2003-04-22,11.790000,12.190000,11.700000,12.130000,10.789515,33697200\n2003-04-23,11.930000,12.080000,11.870000,12.000000,10.673881,30255100\n2003-04-24,11.830000,12.090000,11.760000,12.030000,10.700568,31261600\n2003-04-25,11.960000,12.020000,11.770000,11.790000,10.487089,26159300\n2003-04-28,11.800000,12.040000,11.660000,11.970000,10.647197,29737500\n2003-04-29,11.950000,12.200000,11.930000,12.020000,10.691673,31540200\n2003-04-30,11.960000,12.030000,11.810000,11.880000,10.567142,40601500\n2003-05-01,11.850000,11.990000,11.740000,11.920000,10.602724,26984400\n2003-05-02,11.790000,12.240000,11.790000,12.200000,10.851779,35190700\n2003-05-05,12.190000,12.300000,12.060000,12.080000,10.745041,34043100\n2003-05-06,11.980000,12.550000,11.930000,12.410000,11.038571,44153800\n2003-05-07,12.360000,12.550000,12.140000,12.190000,10.842883,45258000\n2003-05-08,12.000000,12.360000,12.000000,12.100000,10.762835,34438600\n2003-05-09,12.240000,12.500000,12.200000,12.420000,11.047471,33759800\n2003-05-12,12.290000,12.530000,12.200000,12.460000,11.083047,33784200\n2003-05-13,12.360000,12.650000,12.320000,12.420000,11.047471,34690400\n2003-05-14,12.600000,12.640000,12.340000,12.530000,11.145312,34511800\n2003-05-15,12.600000,13.010000,12.560000,12.910000,11.483317,45269100\n2003-05-16,12.910000,13.000000,12.470000,12.560000,11.172000,34563400\n2003-05-19,12.450000,12.620000,12.100000,12.170000,10.825096,32926600\n2003-05-20,12.210000,12.280000,12.010000,12.160000,10.816200,33688700\n2003-05-21,12.120000,12.220000,11.970000,12.100000,10.762835,35936400\n2003-05-22,12.130000,12.410000,12.120000,12.300000,10.940730,26953500\n2003-05-23,12.220000,12.300000,12.060000,12.100000,10.762835,25251500\n2003-05-27,12.030000,12.740000,11.980000,12.650000,11.252048,35590200\n2003-05-28,12.810000,13.400000,12.700000,13.260000,11.794641,78128000\n2003-05-29,13.070000,13.280000,12.810000,12.830000,11.412163,50293400\n2003-05-30,12.950000,13.250000,12.890000,13.010000,11.572268,43628800\n2003-06-02,13.210000,13.250000,12.760000,12.800000,11.385474,41425900\n2003-06-03,12.860000,13.160000,12.760000,13.020000,11.581161,33190800\n2003-06-04,13.110000,13.700000,13.000000,13.580000,12.079280,53947300\n2003-06-05,13.400000,13.570000,13.280000,13.360000,11.883589,37461900\n2003-06-06,13.640000,13.950000,12.950000,13.090000,11.643428,102963900\n2003-06-09,13.130000,13.250000,12.710000,12.860000,11.438843,51279400\n2003-06-10,13.050000,13.090000,12.860000,13.020000,11.581161,40820000\n2003-06-11,13.210000,13.420000,13.030000,13.270000,11.803535,41013300\n2003-06-12,13.400000,13.480000,13.100000,13.330000,11.856905,40907500\n2003-06-13,13.920000,14.000000,13.360000,13.480000,11.990325,81322400\n2003-06-16,13.620000,13.900000,13.300000,13.650000,12.141539,31357300\n2003-06-17,13.740000,13.770000,13.280000,13.350000,11.874691,36730100\n2003-06-18,13.290000,13.540000,13.260000,13.420000,11.936957,49885300\n2003-06-19,13.350000,13.510000,13.260000,13.340000,11.865800,39496600\n2003-06-20,13.520000,13.610000,12.860000,12.930000,11.501109,51764300\n2003-06-23,12.950000,13.050000,12.650000,12.770000,11.358789,30410900\n2003-06-24,12.860000,13.010000,12.600000,12.650000,11.252048,30663200\n2003-06-25,12.650000,12.810000,12.350000,12.380000,11.011891,26269000\n2003-06-26,12.520000,12.610000,12.150000,12.520000,11.136417,30859200\n2003-06-27,12.550000,12.690000,12.240000,12.430000,11.056364,29954600\n2003-06-30,12.490000,12.550000,12.000000,12.010000,10.682778,42454900\n2003-07-01,12.040000,12.380000,11.740000,12.330000,10.967413,45514700\n2003-07-02,12.480000,12.750000,12.320000,12.450000,11.074152,40358900\n2003-07-03,12.330000,12.520000,12.120000,12.180000,10.833991,15602700\n2003-07-07,12.360000,12.760000,12.290000,12.570000,11.180889,29498700\n2003-07-08,12.600000,12.880000,12.550000,12.730000,11.323209,43898700\n2003-07-09,12.920000,13.050000,12.600000,12.670000,11.269840,33649900\n2003-07-10,12.510000,12.740000,12.410000,12.600000,11.207576,41053100\n2003-07-11,12.600000,12.880000,12.580000,12.840000,11.421054,30605400\n2003-07-14,12.940000,13.090000,12.530000,12.640000,11.243156,28583900\n2003-07-15,12.850000,12.890000,12.540000,12.630000,11.234262,34859600\n2003-07-16,12.690000,12.710000,12.300000,12.410000,11.038571,30646000\n2003-07-17,12.220000,12.310000,12.030000,12.090000,10.753934,29515500\n2003-07-18,12.100000,12.160000,11.990000,12.080000,10.745041,24285200\n2003-07-21,12.060000,12.110000,11.590000,11.690000,10.398142,36377800\n2003-07-22,11.900000,12.250000,11.820000,12.070000,10.736146,43591000\n2003-07-23,12.190000,12.210000,11.830000,12.100000,10.762835,27594900\n2003-07-24,12.210000,12.360000,11.650000,11.680000,10.389247,42418200\n2003-07-25,11.740000,12.130000,11.600000,12.100000,10.762835,29301700\n2003-07-28,12.170000,12.240000,11.800000,11.880000,10.567142,35409100\n2003-07-29,11.950000,12.060000,11.690000,11.920000,10.602724,30663400\n2003-07-30,12.020000,12.060000,11.810000,11.880000,10.567142,27817400\n2003-07-31,12.080000,12.310000,11.880000,11.990000,10.664987,34629900\n2003-08-01,11.900000,11.990000,11.730000,11.820000,10.513773,29348000\n2003-08-04,11.880000,12.000000,11.670000,11.860000,10.549355,27503500\n2003-08-05,11.820000,11.960000,11.620000,11.640000,10.353663,30777600\n2003-08-06,11.560000,11.640000,11.430000,11.450000,10.184662,44154700\n2003-08-07,11.460000,11.530000,11.180000,11.390000,10.131290,30669300\n2003-08-08,11.490000,11.510000,11.170000,11.290000,10.042344,25653500\n2003-08-11,11.780000,11.900000,11.600000,11.680000,10.389247,51264000\n2003-08-12,11.860000,12.160000,11.810000,12.160000,10.816200,48958700\n2003-08-13,12.390000,12.390000,11.800000,11.900000,10.584934,68194900\n2003-08-14,11.980000,12.200000,11.880000,12.120000,10.780618,29768000\n2003-08-15,12.090000,12.140000,11.960000,12.080000,10.745041,12464200\n2003-08-18,12.160000,12.200000,12.090000,12.180000,10.833991,28071100\n2003-08-19,12.290000,12.320000,11.980000,12.150000,10.807303,40467800\n2003-08-20,12.050000,12.160000,11.960000,12.120000,10.780618,23000600\n2003-08-21,12.230000,12.320000,12.050000,12.160000,10.816200,36844900\n2003-08-22,12.240000,12.500000,12.150000,12.300000,10.940730,45221100\n2003-08-25,12.230000,12.410000,12.190000,12.370000,11.002991,30133800\n2003-08-26,12.270000,12.520000,12.030000,12.440000,11.065258,49911800\n2003-08-27,12.360000,12.570000,12.310000,12.450000,11.074152,38240700\n2003-08-28,12.500000,12.800000,12.480000,12.770000,11.358789,37764900\n2003-08-29,12.710000,12.890000,12.640000,12.830000,11.412163,33163800\n2003-09-02,12.960000,13.450000,12.940000,13.390000,11.910271,86313000\n2003-09-03,13.730000,14.030000,13.580000,13.760000,12.239388,100807000\n2003-09-04,13.650000,13.780000,13.510000,13.720000,12.203808,41802700\n2003-09-05,13.400000,13.510000,13.000000,13.080000,11.634531,77735500\n2003-09-08,13.250000,13.540000,13.230000,13.480000,11.990325,58859800\n2003-09-09,13.430000,13.480000,13.260000,13.360000,11.883589,39313700\n2003-09-10,13.150000,13.370000,12.790000,12.850000,11.429949,48143700\n2003-09-11,13.030000,13.180000,12.860000,12.980000,11.545584,55297300\n2003-09-12,12.140000,12.600000,12.050000,12.550000,11.163103,125872200\n2003-09-15,12.560000,12.640000,12.380000,12.450000,11.074152,44944600\n2003-09-16,12.470000,12.560000,12.410000,12.530000,11.145312,42621000\n2003-09-17,12.510000,12.540000,12.220000,12.280000,10.922938,48337000\n2003-09-18,12.270000,12.410000,12.140000,12.360000,10.994098,53130900\n2003-09-19,12.320000,12.350000,12.070000,12.120000,10.780618,56562500\n2003-09-22,12.020000,12.080000,11.870000,11.970000,10.647197,48600400\n2003-09-23,12.070000,12.130000,11.970000,12.030000,10.700568,41884000\n2003-09-24,12.030000,12.090000,11.600000,11.600000,10.318087,73146100\n2003-09-25,11.670000,11.930000,11.530000,11.560000,10.282507,41716800\n2003-09-26,11.650000,11.710000,11.390000,11.410000,10.149080,45417900\n2003-09-29,11.550000,11.640000,11.360000,11.640000,10.353663,41382800\n2003-09-30,11.500000,11.520000,11.210000,11.250000,10.006766,54694100\n2003-10-01,11.380000,11.730000,11.350000,11.690000,10.398142,47601100\n2003-10-02,11.570000,11.630000,11.370000,11.400000,10.140189,53302900\n2003-10-03,11.860000,12.090000,11.710000,11.980000,10.656094,76447800\n2003-10-06,12.070000,12.300000,12.040000,12.190000,10.842883,36214900\n2003-10-07,12.050000,12.260000,11.960000,12.200000,10.851779,45506900\n2003-10-08,12.530000,12.750000,12.380000,12.630000,11.234262,71375900\n2003-10-09,12.750000,12.890000,12.310000,12.330000,10.967413,63201300\n2003-10-10,12.450000,12.510000,12.290000,12.330000,10.967413,38087200\n2003-10-13,12.390000,12.490000,12.210000,12.280000,10.922938,45863300\n2003-10-14,12.250000,12.400000,12.160000,12.330000,10.967413,32292100\n2003-10-15,12.460000,12.500000,12.030000,12.120000,10.780618,44173200\n2003-10-16,12.100000,12.160000,11.860000,11.970000,10.647197,60555300\n2003-10-17,11.910000,12.010000,11.680000,11.720000,10.424827,49571700\n2003-10-20,11.780000,11.970000,11.760000,11.910000,10.593827,34152800\n2003-10-21,12.030000,12.100000,11.920000,11.980000,10.656094,33965400\n2003-10-22,11.840000,11.960000,11.700000,11.720000,10.424827,30664800\n2003-10-23,11.660000,11.870000,11.600000,11.750000,10.451510,29827900\n2003-10-24,11.600000,11.780000,11.520000,11.730000,10.433721,40662500\n2003-10-27,11.800000,11.890000,11.610000,11.700000,10.407034,27969800\n2003-10-28,11.720000,12.000000,11.550000,11.980000,10.656094,44104200\n2003-10-29,11.930000,12.080000,11.760000,11.890000,10.576039,40955000\n2003-10-30,12.090000,12.290000,11.920000,12.190000,10.842883,53247200\n2003-10-31,12.120000,12.280000,11.960000,11.970000,10.647197,32516500\n2003-11-03,12.060000,12.320000,12.020000,12.190000,10.842883,35722600\n2003-11-04,12.070000,12.480000,12.040000,12.210000,10.860674,42082700\n2003-11-05,12.330000,12.480000,12.190000,12.350000,10.985206,36371900\n2003-11-06,12.530000,12.720000,12.200000,12.700000,11.296529,76866900\n2003-11-07,12.790000,12.880000,12.430000,12.460000,11.083047,50302100\n2003-11-10,12.410000,12.750000,12.350000,12.570000,11.180889,44400800\n2003-11-11,12.690000,12.740000,12.400000,12.540000,11.154209,34508000\n2003-11-12,12.560000,12.850000,12.540000,12.770000,11.358789,38815500\n2003-11-13,12.630000,12.720000,12.460000,12.570000,11.180889,34809000\n2003-11-14,12.570000,12.670000,12.270000,12.290000,10.931831,36909100\n2003-11-17,12.240000,12.250000,11.980000,12.090000,10.753934,34247700\n2003-11-18,12.190000,12.240000,11.780000,11.810000,10.504880,42238700\n2003-11-19,11.850000,12.130000,11.790000,12.030000,10.700568,37597900\n2003-11-20,11.920000,12.140000,11.770000,11.820000,10.513773,41329600\n2003-11-21,11.920000,12.000000,11.750000,11.880000,10.567142,31832800\n2003-11-24,12.050000,12.100000,11.920000,12.050000,10.718357,43397800\n2003-11-25,12.070000,12.080000,11.860000,11.870000,10.558247,40057100\n2003-11-26,12.000000,12.050000,11.860000,12.040000,10.709458,30882000\n2003-11-28,12.020000,12.060000,11.980000,12.020000,10.691673,8159500\n2003-12-01,12.170000,12.570000,12.160000,12.510000,11.127522,50681500\n2003-12-02,12.490000,12.690000,12.350000,12.400000,11.029679,47466000\n2003-12-03,12.710000,13.100000,12.650000,12.900000,11.474422,89509200\n2003-12-04,12.950000,13.060000,12.820000,12.990000,11.554479,56952500\n2003-12-05,12.860000,12.990000,12.710000,12.740000,11.332106,39383800\n2003-12-08,12.690000,12.930000,12.640000,12.810000,11.394370,32397300\n2003-12-09,12.920000,12.970000,12.510000,12.610000,11.216468,40658700\n2003-12-10,12.610000,12.800000,12.600000,12.780000,11.367684,41922500\n2003-12-11,12.740000,12.900000,12.720000,12.830000,11.412163,39950200\n2003-12-12,12.880000,12.900000,12.690000,12.830000,11.412163,37379900\n2003-12-15,13.070000,13.080000,12.650000,12.700000,11.296529,82537400\n2003-12-16,12.980000,13.230000,12.750000,13.120000,11.670113,95028600\n2003-12-17,13.080000,13.260000,13.050000,13.250000,11.785744,46581000\n2003-12-18,13.220000,13.430000,13.200000,13.330000,11.856905,48645300\n2003-12-19,13.340000,13.430000,12.980000,13.090000,11.643428,52988700\n2003-12-22,12.970000,13.210000,12.920000,13.200000,11.741268,37429800\n2003-12-23,13.240000,13.240000,12.980000,13.050000,11.607845,27584700\n2003-12-24,12.990000,13.130000,12.950000,12.970000,11.536691,15177900\n2003-12-26,12.980000,13.060000,12.950000,13.000000,11.563371,9305200\n2003-12-29,12.990000,13.210000,12.960000,13.180000,11.723480,24670600\n2003-12-30,13.180000,13.230000,13.050000,13.190000,11.732375,21820800\n2003-12-31,13.170000,13.240000,13.050000,13.230000,11.767954,24268300\n2004-01-02,13.250000,13.310000,13.110000,13.140000,11.687901,20730800\n2004-01-05,13.280000,13.560000,13.260000,13.550000,12.052594,35329600\n2004-01-06,13.520000,13.710000,13.400000,13.600000,12.097069,40106000\n2004-01-07,13.670000,13.990000,13.590000,13.970000,12.426177,45151100\n2004-01-08,13.990000,14.380000,13.750000,14.240000,12.666341,70741300\n2004-01-09,14.070000,14.360000,14.000000,14.170000,12.604078,41121800\n2004-01-12,14.280000,15.510000,14.240000,14.660000,13.039927,62729400\n2004-01-13,14.440000,14.480000,14.040000,14.360000,12.773076,78363800\n2004-01-14,14.480000,14.670000,14.390000,14.590000,12.977662,30545500\n2004-01-15,14.440000,14.980000,14.440000,14.890000,13.244508,50439200\n2004-01-16,14.990000,15.030000,14.670000,14.850000,13.208930,46809800\n2004-01-20,14.910000,14.970000,14.560000,14.710000,13.084402,40751300\n2004-01-21,14.630000,14.920000,14.510000,14.710000,13.084402,36834500\n2004-01-22,14.790000,14.910000,14.420000,14.530000,12.924294,34476800\n2004-01-23,14.550000,14.670000,14.350000,14.540000,12.933187,28790500\n2004-01-26,14.460000,14.540000,14.280000,14.470000,12.870920,33787100\n2004-01-27,14.420000,14.680000,14.180000,14.200000,12.630759,32503900\n2004-01-28,14.310000,14.400000,13.860000,13.940000,12.399492,44593900\n2004-01-29,14.050000,14.220000,13.730000,14.190000,12.621868,50196100\n2004-01-30,14.110000,14.300000,13.780000,13.860000,12.328335,45136500\n2004-02-02,13.760000,13.900000,13.510000,13.640000,12.132647,42162300\n2004-02-03,13.570000,13.990000,13.520000,13.910000,12.372808,32484300\n2004-02-04,13.190000,13.690000,13.120000,13.270000,11.803535,47107800\n2004-02-05,13.440000,13.770000,13.320000,13.560000,12.061490,39729800\n2004-02-06,13.580000,13.760000,13.360000,13.420000,11.936957,41298900\n2004-02-09,13.540000,13.630000,13.250000,13.280000,11.812428,33219100\n2004-02-10,13.270000,13.530000,13.260000,13.390000,11.910271,30386400\n2004-02-11,13.530000,13.790000,13.330000,13.700000,12.186015,38713100\n2004-02-12,13.620000,13.850000,13.510000,13.720000,12.203808,27981100\n2004-02-13,13.780000,14.100000,13.660000,13.790000,12.266070,41834100\n2004-02-17,13.910000,13.980000,13.730000,13.760000,12.239388,21836800\n2004-02-18,13.880000,14.160000,13.710000,14.060000,12.506234,38796400\n2004-02-19,14.180000,14.210000,13.770000,13.800000,12.274967,29936900\n2004-02-20,13.960000,13.970000,13.540000,13.710000,12.194913,27880000\n2004-02-23,13.680000,13.720000,13.220000,13.340000,11.865800,30737700\n2004-02-24,13.280000,13.360000,13.040000,13.260000,11.794641,56492900\n2004-02-25,13.290000,13.340000,13.080000,13.190000,11.732375,35990900\n2004-02-26,13.100000,13.500000,12.860000,13.280000,11.812428,45428900\n2004-02-27,13.300000,13.370000,12.860000,12.870000,11.447742,44508600\n2004-03-01,13.110000,13.170000,12.880000,13.080000,11.634531,46943200\n2004-03-02,13.130000,13.280000,12.950000,12.980000,11.545584,39962100\n2004-03-03,12.910000,13.140000,12.890000,13.010000,11.572268,29869200\n2004-03-04,12.920000,13.100000,12.890000,13.000000,11.563371,32745100\n2004-03-05,12.870000,13.100000,12.710000,12.710000,11.305421,59897400\n2004-03-08,12.860000,12.880000,12.320000,12.360000,10.994098,59836100\n2004-03-09,12.350000,12.480000,12.130000,12.310000,10.949624,59151200\n2004-03-10,12.400000,12.620000,12.310000,12.410000,11.038571,73298000\n2004-03-11,12.340000,12.600000,12.170000,12.250000,10.896253,88238400\n2004-03-12,12.490000,12.500000,11.950000,12.060000,10.727255,109858800\n2004-03-15,12.030000,12.050000,11.580000,11.660000,10.371456,71864700\n2004-03-16,11.790000,11.890000,11.370000,11.700000,10.407034,84172400\n2004-03-17,11.850000,11.930000,11.680000,11.850000,10.540460,59616200\n2004-03-18,11.800000,11.830000,11.560000,11.610000,10.326982,59118700\n2004-03-19,11.600000,11.780000,11.490000,11.500000,10.229136,47572800\n2004-03-22,11.380000,11.450000,11.150000,11.340000,10.086818,54723000\n2004-03-23,11.450000,11.630000,11.300000,11.400000,10.140189,62015900\n2004-03-24,11.480000,11.690000,11.300000,11.530000,10.255820,43124500\n2004-03-25,11.650000,12.030000,11.630000,11.940000,10.620513,61981700\n2004-03-26,11.930000,12.150000,11.900000,11.920000,10.602724,47907200\n2004-03-29,12.040000,12.120000,11.960000,12.080000,10.745041,39093100\n2004-03-30,11.970000,12.130000,11.840000,12.080000,10.745041,49915300\n2004-03-31,12.100000,12.160000,11.950000,12.000000,10.673881,48584200\n2004-04-01,11.990000,12.360000,11.960000,12.290000,10.931831,60501700\n2004-04-02,12.620000,12.650000,12.400000,12.580000,11.189787,48908400\n2004-04-05,12.600000,12.860000,12.550000,12.770000,11.358789,48809700\n2004-04-06,12.650000,12.740000,12.420000,12.460000,11.083047,36671400\n2004-04-07,12.430000,12.460000,12.220000,12.350000,10.985206,45873800\n2004-04-08,12.540000,12.580000,12.300000,12.380000,11.011891,25128300\n2004-04-12,12.340000,12.570000,12.320000,12.410000,11.038571,37987000\n2004-04-13,12.430000,12.450000,12.230000,12.310000,10.949624,34207400\n2004-04-14,12.220000,12.470000,12.210000,12.370000,11.002991,40484800\n2004-04-15,12.420000,12.420000,11.980000,12.080000,10.745041,41139700\n2004-04-16,12.170000,12.220000,11.910000,11.990000,10.664987,37456900\n2004-04-19,12.050000,12.320000,11.970000,12.320000,10.958520,39837500\n2004-04-20,12.290000,12.430000,11.990000,12.000000,10.673881,46891200\n2004-04-21,11.990000,12.150000,11.870000,12.070000,10.736146,39061300\n2004-04-22,11.980000,12.500000,11.950000,12.370000,11.002991,47915400\n2004-04-23,12.470000,12.580000,12.350000,12.530000,11.145312,38928500\n2004-04-26,12.480000,12.560000,12.200000,12.310000,10.949624,35321200\n2004-04-27,12.270000,12.400000,12.100000,12.150000,10.807303,38910400\n2004-04-28,12.080000,12.220000,11.770000,11.900000,10.584934,38196000\n2004-04-29,11.870000,11.890000,11.340000,11.430000,10.166874,86524700\n2004-04-30,11.500000,11.550000,11.220000,11.250000,10.006766,61729600\n2004-05-03,11.360000,11.520000,11.200000,11.330000,10.077927,47395000\n2004-05-04,11.260000,11.530000,11.170000,11.350000,10.095716,66183600\n2004-05-05,11.380000,11.600000,11.350000,11.350000,10.095716,29772000\n2004-05-06,11.260000,11.700000,11.250000,11.490000,10.220240,44245700\n2004-05-07,11.470000,11.680000,11.400000,11.400000,10.140189,39423200\n2004-05-10,11.260000,11.450000,11.260000,11.400000,10.140189,36486800\n2004-05-11,11.510000,11.670000,11.430000,11.670000,10.380351,36158300\n2004-05-12,11.550000,11.660000,11.350000,11.590000,10.309194,42703600\n2004-05-13,11.520000,11.850000,11.500000,11.800000,10.495983,34109400\n2004-05-14,11.740000,11.780000,11.460000,11.600000,10.318087,33566500\n2004-05-17,11.400000,11.500000,11.300000,11.360000,10.104609,49025700\n2004-05-18,11.430000,11.530000,11.370000,11.370000,10.113503,26005300\n2004-05-19,11.480000,11.590000,11.290000,11.290000,10.042344,39327800\n2004-05-20,11.380000,11.380000,11.150000,11.230000,9.988976,35553700\n2004-05-21,11.320000,11.390000,11.180000,11.230000,9.988976,38074300\n2004-05-24,11.320000,11.430000,11.280000,11.360000,10.104609,30700600\n2004-05-25,11.310000,11.520000,11.180000,11.500000,10.229136,44651300\n2004-05-26,11.450000,11.500000,11.280000,11.480000,10.211349,32837400\n2004-05-27,11.490000,11.620000,11.370000,11.480000,10.211349,40369500\n2004-05-28,11.420000,11.490000,11.320000,11.400000,10.140189,30497100\n2004-06-01,11.240000,11.310000,11.050000,11.120000,9.891130,42016100\n2004-06-02,11.220000,11.260000,11.080000,11.150000,9.917816,39112300\n2004-06-03,11.160000,11.210000,10.850000,10.970000,9.757706,53652200\n2004-06-04,11.090000,11.180000,11.010000,11.040000,9.819971,48278700\n2004-06-07,11.180000,11.420000,11.130000,11.420000,10.157976,43849600\n2004-06-08,11.420000,11.610000,11.340000,11.590000,10.309194,49357800\n2004-06-09,11.590000,11.720000,11.500000,11.540000,10.264715,47534000\n2004-06-10,11.570000,11.720000,11.530000,11.710000,10.415929,42342500\n2004-06-14,11.620000,11.660000,11.450000,11.550000,10.273612,41450900\n2004-06-15,11.630000,11.860000,11.610000,11.710000,10.415929,62721200\n2004-06-16,11.360000,11.430000,11.230000,11.350000,10.095716,80914200\n2004-06-17,11.270000,11.320000,11.120000,11.140000,9.908919,41264700\n2004-06-18,11.100000,11.350000,11.050000,11.140000,9.908919,62933800\n2004-06-21,11.130000,11.210000,11.110000,11.150000,9.917816,38332300\n2004-06-22,11.110000,11.190000,11.050000,11.120000,9.891130,55112100\n2004-06-23,11.090000,11.210000,11.080000,11.150000,9.917816,45101400\n2004-06-24,11.160000,11.570000,11.140000,11.500000,10.229136,70678600\n2004-06-25,11.560000,11.960000,11.510000,11.800000,10.495983,88673100\n2004-06-28,11.780000,11.850000,11.600000,11.630000,10.344773,47118600\n2004-06-29,11.620000,11.860000,11.580000,11.770000,10.469296,39040900\n2004-06-30,11.760000,12.070000,11.640000,11.930000,10.611618,62400000\n2004-07-01,11.850000,11.960000,11.610000,11.810000,10.504880,61520000\n2004-07-02,11.750000,11.820000,11.620000,11.650000,10.362561,32076700\n2004-07-06,11.550000,11.600000,11.140000,11.200000,9.962291,61782900\n2004-07-07,11.150000,11.320000,11.130000,11.200000,9.962291,50583800\n2004-07-08,11.140000,11.150000,10.860000,10.920000,9.713232,71465200\n2004-07-09,11.030000,11.250000,10.980000,11.030000,9.811075,47046600\n2004-07-12,11.070000,11.230000,11.010000,11.090000,9.864447,37216900\n2004-07-13,11.140000,11.150000,11.000000,11.000000,9.784389,39466700\n2004-07-14,10.950000,11.010000,10.680000,10.790000,9.597600,79172000\n2004-07-15,10.970000,11.000000,10.690000,10.720000,9.535335,72403300\n2004-07-16,10.840000,10.870000,10.210000,10.220000,9.090592,100621100\n2004-07-19,10.380000,10.480000,10.290000,10.330000,9.188433,54154100\n2004-07-20,10.380000,10.540000,10.270000,10.500000,9.339647,45273400\n2004-07-21,10.550000,10.810000,10.330000,10.350000,9.206223,67054800\n2004-07-22,10.360000,10.460000,10.120000,10.360000,9.215117,34995200\n2004-07-23,10.280000,10.310000,10.030000,10.100000,8.983853,36626900\n2004-07-26,10.120000,10.270000,10.030000,10.080000,8.966062,42494100\n2004-07-27,10.110000,10.490000,10.100000,10.380000,9.232909,44267700\n2004-07-28,10.310000,10.370000,10.050000,10.250000,9.117275,45714900\n2004-07-29,10.340000,10.500000,10.270000,10.380000,9.232909,41100200\n2004-07-30,10.390000,10.520000,10.350000,10.510000,9.348543,31709700\n2004-08-02,10.370000,10.670000,10.330000,10.670000,9.490860,40242900\n2004-08-03,10.570000,10.680000,10.520000,10.560000,9.393018,44096400\n2004-08-04,10.560000,10.970000,10.520000,10.840000,9.642075,51684300\n2004-08-05,10.830000,10.850000,10.540000,10.640000,9.464179,46577100\n2004-08-06,10.430000,10.540000,10.190000,10.190000,9.063905,38588500\n2004-08-09,10.300000,10.470000,10.200000,10.370000,9.224017,31533900\n2004-08-10,10.450000,10.610000,10.310000,10.600000,9.428595,31955300\n2004-08-11,10.390000,10.420000,10.090000,10.190000,9.063905,43650500\n2004-08-12,10.090000,10.200000,9.780000,9.900000,8.805953,56499100\n2004-08-13,9.950000,10.280000,9.930000,10.250000,9.117275,46512000\n2004-08-16,10.250000,10.420000,10.200000,10.250000,9.117275,32335500\n2004-08-17,10.290000,10.430000,10.120000,10.280000,9.143956,40834000\n2004-08-18,10.140000,10.530000,10.120000,10.510000,9.348543,40961900\n2004-08-19,10.440000,10.490000,10.340000,10.420000,9.268490,32090200\n2004-08-20,10.390000,10.430000,10.300000,10.310000,9.170645,24015500\n2004-08-23,10.330000,10.390000,10.220000,10.300000,9.161748,27130700\n2004-08-24,10.330000,10.360000,10.150000,10.330000,9.188433,38644600\n2004-08-25,10.350000,10.440000,10.260000,10.400000,9.250698,29812200\n2004-08-26,10.370000,10.420000,10.210000,10.230000,9.099482,27281500\n2004-08-27,10.240000,10.340000,10.230000,10.290000,9.152852,20328400\n2004-08-30,10.200000,10.240000,10.080000,10.110000,8.992745,33704600\n2004-08-31,10.110000,10.140000,9.820000,9.970000,8.868216,37907800\n2004-09-01,9.960000,10.110000,9.940000,10.050000,8.939380,28920000\n2004-09-02,10.070000,10.350000,9.970000,10.290000,9.152852,40370000\n2004-09-03,10.200000,10.290000,9.970000,10.030000,8.921587,33742000\n2004-09-07,10.170000,10.220000,9.980000,10.080000,8.966062,31732100\n2004-09-08,9.940000,10.030000,9.860000,9.860000,8.770370,47062500\n2004-09-09,9.980000,10.020000,9.900000,9.930000,8.832635,44902800\n2004-09-10,10.120000,10.500000,10.040000,10.460000,9.304066,66209200\n2004-09-13,10.550000,10.700000,10.510000,10.620000,9.446383,52492300\n2004-09-14,10.640000,10.690000,10.460000,10.550000,9.384121,72170200\n2004-09-15,11.090000,11.410000,11.030000,11.330000,10.077927,135089500\n2004-09-16,11.250000,11.400000,11.170000,11.230000,9.988976,57893500\n2004-09-17,11.250000,11.580000,11.230000,11.510000,10.238035,59258000\n2004-09-20,11.350000,11.550000,11.310000,11.400000,10.140189,40527500\n2004-09-21,11.670000,11.680000,11.340000,11.410000,10.149080,44463000\n2004-09-22,11.280000,11.390000,11.100000,11.140000,9.908919,55341300\n2004-09-23,11.160000,11.240000,11.020000,11.050000,9.828863,40709000\n2004-09-24,11.120000,11.210000,11.010000,11.040000,9.819971,30796100\n2004-09-27,10.980000,11.280000,10.930000,11.190000,9.953397,40616600\n2004-09-28,11.240000,11.360000,11.090000,11.360000,10.104609,45610200\n2004-09-29,11.340000,11.520000,11.280000,11.430000,10.166874,41868100\n2004-09-30,11.420000,11.450000,11.240000,11.280000,10.033448,49604900\n2004-10-01,11.650000,11.950000,11.510000,11.900000,10.584934,69604100\n2004-10-04,12.100000,12.180000,11.830000,11.870000,10.558247,66003300\n2004-10-05,11.840000,12.210000,11.830000,12.210000,10.860674,46999300\n2004-10-06,12.140000,12.260000,12.060000,12.240000,10.887359,44461400\n2004-10-07,12.210000,12.420000,12.190000,12.290000,10.931831,50909000\n2004-10-08,12.170000,12.470000,12.020000,12.170000,10.825096,45517700\n2004-10-11,12.170000,12.270000,12.080000,12.200000,10.851779,25741700\n2004-10-12,12.030000,12.230000,11.980000,12.150000,10.807303,35379900\n2004-10-13,12.150000,12.170000,11.930000,11.990000,10.664987,40599700\n2004-10-14,11.930000,12.110000,11.920000,12.000000,10.673881,28269600\n2004-10-15,12.040000,12.250000,12.000000,12.240000,10.887359,41393100\n2004-10-18,12.150000,12.460000,12.100000,12.420000,11.047471,33181100\n2004-10-19,12.450000,12.540000,12.310000,12.310000,10.949624,44047000\n2004-10-20,12.240000,12.420000,12.180000,12.420000,11.047471,35207600\n2004-10-21,12.440000,12.470000,12.280000,12.440000,11.065258,40699800\n2004-10-22,12.430000,12.480000,12.190000,12.310000,10.949624,33118300\n2004-10-25,12.260000,12.330000,12.050000,12.130000,10.789515,33386800\n2004-10-26,12.160000,12.300000,12.110000,12.270000,10.914046,33466400\n2004-10-27,12.160000,12.720000,12.150000,12.590000,11.198681,43334500\n2004-10-28,12.480000,12.770000,12.210000,12.740000,11.332106,31068300\n2004-10-29,12.810000,12.810000,12.550000,12.660000,11.260947,34619900\n2004-11-01,12.720000,12.870000,12.550000,12.750000,11.341000,27994800\n2004-11-02,12.760000,13.000000,12.680000,12.800000,11.385474,40570200\n2004-11-03,12.950000,13.000000,12.720000,12.830000,11.412163,33987500\n2004-11-04,12.850000,13.140000,12.830000,13.100000,11.652321,37692700\n2004-11-05,13.120000,13.280000,13.080000,13.170000,11.714587,34605000\n2004-11-08,13.070000,13.200000,13.010000,13.110000,11.661217,21120600\n2004-11-09,13.090000,13.380000,13.070000,13.350000,11.874691,32825300\n2004-11-10,13.340000,13.500000,13.290000,13.380000,11.901380,40553300\n2004-11-11,13.230000,13.280000,12.780000,13.140000,11.687901,48867000\n2004-11-12,13.010000,13.400000,12.970000,13.390000,11.910271,41742700\n2004-11-15,13.300000,13.310000,12.970000,13.010000,11.572268,35834100\n2004-11-16,12.970000,13.040000,12.870000,12.920000,11.492210,29547200\n2004-11-17,12.990000,13.210000,12.950000,13.130000,11.679008,28451100\n2004-11-18,13.110000,13.150000,12.950000,12.970000,11.536691,25803100\n2004-11-19,13.070000,13.160000,12.690000,12.750000,11.341000,30991800\n2004-11-22,12.670000,12.750000,12.510000,12.680000,11.278737,41035900\n2004-11-23,12.600000,12.810000,12.510000,12.700000,11.296529,27711900\n2004-11-24,12.740000,12.860000,12.710000,12.790000,11.376582,19122000\n2004-11-26,12.780000,12.790000,12.640000,12.660000,11.260947,9101000\n2004-11-29,12.630000,12.790000,12.580000,12.680000,11.278737,32675200\n2004-11-30,12.640000,12.810000,12.620000,12.740000,11.332106,32502200\n2004-12-01,12.750000,13.090000,12.660000,13.090000,11.643428,46113400\n2004-12-02,12.900000,13.070000,12.820000,12.950000,11.518897,27804600\n2004-12-03,12.840000,13.110000,12.740000,13.030000,11.590058,69334000\n2004-12-06,12.980000,13.510000,12.960000,13.340000,11.865800,55786100\n2004-12-07,13.360000,13.570000,13.020000,13.060000,11.616741,41045600\n2004-12-08,13.140000,13.420000,13.090000,13.210000,11.750168,39890300\n2004-12-09,13.060000,13.400000,13.010000,13.290000,11.821325,35971400\n2004-12-10,13.160000,13.450000,13.140000,13.280000,11.812428,32027500\n2004-12-13,14.210000,14.870000,13.750000,14.630000,13.013240,181316700\n2004-12-14,14.460000,14.610000,14.180000,14.230000,12.657444,78544300\n2004-12-15,14.140000,14.180000,13.920000,14.090000,12.532915,73641400\n2004-12-16,14.000000,14.170000,13.980000,14.090000,12.532915,53533600\n2004-12-17,14.000000,14.170000,13.920000,13.980000,12.435071,62424100\n2004-12-20,14.000000,14.100000,13.550000,13.580000,12.079280,53505200\n2004-12-21,13.530000,13.900000,13.530000,13.790000,12.266070,50640900\n2004-12-22,13.800000,13.900000,13.650000,13.700000,12.186015,35878500\n2004-12-23,13.640000,13.780000,13.600000,13.640000,12.132647,20796300\n2004-12-27,13.720000,13.780000,13.610000,13.650000,12.141539,28715500\n2004-12-28,13.600000,13.890000,13.580000,13.840000,12.310545,34572700\n2004-12-29,13.730000,13.870000,13.660000,13.720000,12.203808,42544900\n2004-12-30,13.680000,13.940000,13.660000,13.880000,12.346124,37261100\n2004-12-31,13.860000,14.030000,13.680000,13.720000,12.203808,43515400\n2005-01-03,13.880000,13.890000,13.390000,13.410000,11.928063,60319300\n2005-01-04,13.460000,13.480000,12.920000,13.060000,11.616741,80906400\n2005-01-05,13.030000,13.260000,13.010000,13.100000,11.652321,42548400\n2005-01-06,13.130000,13.350000,13.080000,13.220000,11.759061,55580100\n2005-01-07,13.340000,13.450000,13.150000,13.330000,11.856905,45685800\n2005-01-10,13.320000,13.450000,13.170000,13.190000,11.732375,47571800\n2005-01-11,13.090000,13.390000,13.060000,13.200000,11.741268,63973000\n2005-01-12,13.260000,13.490000,13.240000,13.480000,11.990325,53420800\n2005-01-13,13.380000,13.670000,13.340000,13.480000,11.990325,56987700\n2005-01-14,13.560000,13.760000,13.490000,13.630000,12.123753,42509100\n2005-01-18,13.590000,13.900000,13.520000,13.780000,12.257174,60758900\n2005-01-19,13.660000,13.800000,13.450000,13.470000,11.981432,51115100\n2005-01-20,13.440000,13.680000,13.280000,13.280000,11.812428,45253200\n2005-01-21,13.350000,13.490000,13.280000,13.310000,11.839114,40716100\n2005-01-24,13.360000,13.500000,13.210000,13.240000,11.776849,37540700\n2005-01-25,13.490000,13.740000,13.460000,13.590000,12.088172,48682500\n2005-01-26,13.960000,14.010000,13.610000,13.620000,12.114855,78543500\n2005-01-27,13.670000,13.980000,13.500000,13.970000,12.426177,61917900\n2005-01-28,13.910000,13.950000,13.550000,13.680000,12.168226,47465300\n2005-01-31,13.770000,13.890000,13.630000,13.770000,12.248281,38555200\n2005-02-01,13.730000,13.760000,13.580000,13.650000,12.141539,43567600\n2005-02-02,13.670000,13.700000,13.450000,13.560000,12.061490,42057200\n2005-02-03,13.470000,13.550000,13.280000,13.340000,11.865800,39310700\n2005-02-04,13.310000,13.700000,13.300000,13.660000,12.150435,35832700\n2005-02-07,13.570000,13.610000,13.410000,13.550000,12.052594,43465100\n2005-02-08,13.550000,13.600000,13.460000,13.470000,11.981432,28869900\n2005-02-09,13.410000,13.480000,13.150000,13.170000,11.714587,42305100\n2005-02-10,13.210000,13.240000,13.020000,13.140000,11.687901,41274700\n2005-02-11,13.110000,13.390000,13.010000,13.350000,11.874691,50626000\n2005-02-14,13.260000,13.380000,13.230000,13.310000,11.839114,34744600\n2005-02-15,13.340000,13.460000,13.260000,13.290000,11.821325,43226900\n2005-02-16,13.240000,13.460000,13.230000,13.330000,11.856905,28360700\n2005-02-17,13.300000,13.380000,12.890000,12.960000,11.527794,44724400\n2005-02-18,12.970000,12.990000,12.840000,12.940000,11.510002,34769400\n2005-02-22,12.760000,12.870000,12.640000,12.660000,11.260947,50815200\n2005-02-23,12.730000,12.990000,12.590000,12.950000,11.518897,40930600\n2005-02-24,12.840000,13.120000,12.830000,13.010000,11.572268,39114400\n2005-02-25,13.040000,13.140000,12.960000,13.130000,11.679008,29254000\n2005-02-28,13.080000,13.250000,12.910000,12.950000,11.518897,37646400\n2005-03-01,13.030000,13.240000,12.980000,13.150000,11.696795,47027400\n2005-03-02,13.030000,13.200000,12.820000,13.050000,11.607845,49438200\n2005-03-03,13.080000,13.170000,12.960000,13.090000,11.643428,35449800\n2005-03-04,13.220000,13.460000,13.180000,13.280000,11.812428,55955700\n2005-03-07,13.370000,13.760000,13.340000,13.600000,12.097069,54894700\n2005-03-08,13.600000,13.800000,13.590000,13.620000,12.114855,38824300\n2005-03-09,13.440000,13.640000,13.310000,13.350000,11.874691,38544700\n2005-03-10,13.360000,13.420000,13.220000,13.260000,11.794641,28878100\n2005-03-11,13.330000,13.380000,13.000000,13.090000,11.643428,36704200\n2005-03-14,13.100000,13.250000,13.010000,13.150000,11.696795,30111500\n2005-03-15,13.270000,13.290000,13.110000,13.150000,11.696795,34154200\n2005-03-16,13.040000,13.210000,12.900000,13.020000,11.581161,44721200\n2005-03-17,13.010000,13.340000,12.990000,13.160000,11.705689,43835700\n2005-03-18,12.940000,13.010000,12.510000,12.540000,11.154209,153018100\n2005-03-21,12.600000,12.690000,12.420000,12.650000,11.252048,57215900\n2005-03-22,12.680000,12.740000,12.390000,12.490000,11.109732,50698700\n2005-03-23,12.320000,12.590000,12.240000,12.510000,11.127522,69699700\n2005-03-24,12.530000,12.550000,12.360000,12.400000,11.029679,34531200\n2005-03-28,12.400000,12.580000,12.260000,12.430000,11.056364,35841500\n2005-03-29,12.390000,12.520000,12.230000,12.280000,10.922938,35637300\n2005-03-30,12.340000,12.630000,12.320000,12.480000,11.100841,35214200\n2005-03-31,12.470000,12.670000,12.440000,12.480000,11.100841,32835900\n2005-04-01,12.560000,12.720000,12.520000,12.530000,11.145312,38333200\n2005-04-04,12.570000,12.730000,12.540000,12.690000,11.287631,48303100\n2005-04-05,12.650000,12.700000,12.380000,12.450000,11.074152,42466000\n2005-04-06,12.410000,12.560000,12.320000,12.380000,11.011891,30283800\n2005-04-07,12.370000,12.480000,12.280000,12.450000,11.074152,40822100\n2005-04-08,12.420000,12.530000,12.330000,12.360000,10.994098,38601300\n2005-04-11,12.370000,12.420000,12.310000,12.400000,11.029679,24216700\n2005-04-12,12.350000,12.530000,12.340000,12.490000,11.109732,41508400\n2005-04-13,12.400000,12.490000,12.170000,12.260000,10.905152,34983000\n2005-04-14,12.290000,12.360000,12.060000,12.090000,10.753934,49235100\n2005-04-15,11.940000,11.970000,11.660000,11.700000,10.407034,62108300\n2005-04-18,11.710000,11.970000,11.670000,11.800000,10.495983,42602500\n2005-04-19,11.900000,11.960000,11.690000,11.880000,10.567142,48096200\n2005-04-20,11.880000,12.030000,11.730000,11.780000,10.478193,55428000\n2005-04-21,11.930000,12.200000,11.910000,12.170000,10.825096,51078800\n2005-04-22,12.120000,12.170000,11.830000,11.920000,10.602724,43471400\n2005-04-25,11.930000,12.110000,11.920000,12.070000,10.736146,32411300\n2005-04-26,12.000000,12.300000,11.850000,11.880000,10.567142,30723400\n2005-04-27,11.830000,12.000000,11.810000,11.900000,10.584934,26514600\n2005-04-28,11.860000,11.900000,11.550000,11.620000,10.335875,39434000\n2005-04-29,11.670000,11.680000,11.250000,11.560000,10.282507,41386100\n2005-05-02,11.570000,11.680000,11.510000,11.600000,10.318087,27176700\n2005-05-03,11.530000,11.730000,11.510000,11.590000,10.309194,39877600\n2005-05-04,11.650000,11.870000,11.630000,11.720000,10.424827,37634100\n2005-05-05,11.710000,11.770000,11.560000,11.660000,10.371456,44792300\n2005-05-06,11.720000,11.800000,11.670000,11.760000,10.460404,27731800\n2005-05-09,11.740000,11.850000,11.690000,11.750000,10.451510,28091400\n2005-05-10,11.580000,11.720000,11.490000,11.520000,10.246928,36598000\n2005-05-11,11.580000,11.760000,11.480000,11.700000,10.407034,32542900\n2005-05-12,11.660000,12.020000,11.640000,11.890000,10.576039,62649000\n2005-05-13,11.920000,12.390000,11.910000,12.360000,10.994098,69496400\n2005-05-16,12.260000,12.450000,12.250000,12.350000,10.985206,41887000\n2005-05-17,12.260000,12.280000,11.980000,12.210000,10.860674,61633100\n2005-05-18,12.210000,12.430000,12.130000,12.330000,10.967413,44940000\n2005-05-19,12.360000,12.640000,12.350000,12.430000,11.056364,40463700\n2005-05-20,12.450000,12.640000,12.400000,12.550000,11.163103,25230900\n2005-05-23,12.620000,12.770000,12.600000,12.700000,11.296529,47390500\n2005-05-24,12.660000,12.860000,12.640000,12.800000,11.385474,43792600\n2005-05-25,12.720000,12.790000,12.610000,12.750000,11.341000,32280900\n2005-05-26,12.820000,12.980000,12.770000,12.920000,11.492210,31827400\n2005-05-27,12.860000,12.900000,12.790000,12.850000,11.429949,21594400\n2005-05-31,12.770000,12.870000,12.690000,12.800000,11.385474,28423900\n2005-06-01,12.790000,12.970000,12.770000,12.890000,11.465528,33329000\n2005-06-02,12.880000,12.990000,12.840000,12.980000,11.545584,33375700\n2005-06-03,12.950000,12.960000,12.550000,12.590000,11.198681,49038900\n2005-06-06,12.570000,12.720000,12.550000,12.650000,11.252048,29298000\n2005-06-07,12.640000,12.800000,12.560000,12.590000,11.198681,34230100\n2005-06-08,12.630000,12.750000,12.600000,12.670000,11.269840,35934900\n2005-06-09,12.630000,12.730000,12.580000,12.670000,11.269840,30027400\n2005-06-10,12.650000,12.850000,12.550000,12.640000,11.243156,28917900\n2005-06-13,12.580000,12.790000,12.560000,12.600000,11.207576,29601000\n2005-06-14,12.570000,12.640000,12.420000,12.480000,11.100841,36616900\n2005-06-15,12.580000,12.700000,12.300000,12.620000,11.225367,42236600\n2005-06-16,12.560000,12.630000,12.350000,12.460000,11.083047,40706600\n2005-06-17,12.600000,12.640000,12.280000,12.340000,10.976313,58512100\n2005-06-20,12.300000,12.550000,12.280000,12.410000,11.038571,34560100\n2005-06-21,12.400000,12.590000,12.370000,12.550000,11.163103,25868700\n2005-06-22,12.600000,12.700000,12.500000,12.630000,11.234262,31376000\n2005-06-23,12.630000,12.840000,12.480000,12.510000,11.127522,40990400\n2005-06-24,12.590000,12.660000,12.410000,12.500000,11.118629,34563900\n2005-06-27,12.500000,12.630000,12.500000,12.540000,11.154209,29560700\n2005-06-28,12.590000,12.920000,12.570000,12.830000,11.412163,49229600\n2005-06-29,13.470000,13.790000,13.230000,13.570000,12.070382,155754700\n2005-06-30,13.560000,13.630000,13.160000,13.200000,11.741268,73638100\n2005-07-01,13.390000,13.400000,13.210000,13.290000,11.821325,40126400\n2005-07-05,13.250000,13.310000,12.990000,13.270000,11.803535,43866000\n2005-07-06,13.230000,13.660000,13.210000,13.320000,11.848005,60319100\n2005-07-07,13.230000,13.350000,13.190000,13.290000,11.821325,50565700\n2005-07-08,13.280000,13.570000,13.260000,13.560000,12.061490,36333200\n2005-07-11,13.570000,13.740000,13.540000,13.710000,12.194913,37520900\n2005-07-12,13.660000,13.890000,13.620000,13.800000,12.274967,30736600\n2005-07-13,13.760000,14.000000,13.710000,13.960000,12.417285,34444700\n2005-07-14,13.980000,14.100000,13.860000,14.050000,12.497337,45097400\n2005-07-15,14.020000,14.110000,13.980000,14.040000,12.488443,43579300\n2005-07-18,13.960000,13.990000,13.900000,13.900000,12.363915,41776800\n2005-07-19,13.980000,14.510000,13.750000,13.940000,12.399492,36381100\n2005-07-20,13.790000,14.080000,13.780000,14.030000,12.479549,33567000\n2005-07-21,13.950000,14.050000,13.540000,13.720000,12.203808,41179300\n2005-07-22,13.670000,13.840000,13.570000,13.800000,12.274967,27661200\n2005-07-25,13.800000,13.900000,13.710000,13.790000,12.266070,18455700\n2005-07-26,13.800000,13.960000,13.760000,13.790000,12.266070,24798000\n2005-07-27,13.890000,13.950000,13.700000,13.840000,12.310545,22664400\n2005-07-28,13.860000,13.900000,13.710000,13.850000,12.319440,18985900\n2005-07-29,13.830000,13.860000,13.570000,13.570000,12.070382,27162200\n2005-08-01,13.670000,13.690000,13.450000,13.520000,12.025908,25341800\n2005-08-02,13.520000,13.690000,13.440000,13.580000,12.079280,28944700\n2005-08-03,13.500000,13.520000,13.290000,13.380000,11.901380,31846100\n2005-08-04,13.250000,13.380000,13.210000,13.300000,11.830220,30788400\n2005-08-05,13.270000,13.360000,13.140000,13.280000,11.812428,25542900\n2005-08-08,13.340000,13.420000,13.250000,13.290000,11.821325,24940300\n2005-08-09,13.330000,13.440000,13.300000,13.360000,11.883589,21887400\n2005-08-10,13.380000,13.570000,13.300000,13.350000,11.874691,29897300\n2005-08-11,13.330000,13.470000,13.260000,13.370000,11.892487,25785900\n2005-08-12,13.320000,13.360000,13.200000,13.300000,11.830220,31991200\n2005-08-15,13.260000,13.380000,13.220000,13.290000,11.821325,37981700\n2005-08-16,13.260000,13.350000,13.250000,13.300000,11.830220,32583500\n2005-08-17,13.280000,13.330000,13.140000,13.240000,11.776849,29401000\n2005-08-18,13.200000,13.270000,13.040000,13.090000,11.643428,28469400\n2005-08-19,13.140000,13.220000,13.060000,13.070000,11.625636,22327200\n2005-08-22,13.060000,13.200000,12.990000,13.090000,11.643428,22938400\n2005-08-23,13.060000,13.180000,12.960000,13.100000,11.652321,26582100\n2005-08-24,13.070000,13.120000,12.870000,12.950000,11.518897,34968300\n2005-08-25,12.970000,13.060000,12.920000,12.970000,11.536691,23002700\n2005-08-26,12.950000,13.000000,12.820000,12.900000,11.474422,21404700\n2005-08-29,12.840000,13.170000,12.830000,13.080000,11.634531,24065700\n2005-08-30,13.010000,13.070000,12.840000,13.030000,11.590058,24651900\n2005-08-31,13.000000,13.030000,12.820000,12.990000,11.554479,41226700\n2005-09-01,12.940000,13.400000,12.920000,13.310000,11.839114,48010000\n2005-09-02,13.360000,13.560000,13.350000,13.390000,11.910271,30062900\n2005-09-06,13.430000,13.620000,13.390000,13.560000,12.061490,21904000\n2005-09-07,13.500000,13.580000,13.330000,13.410000,11.928063,21709400\n2005-09-08,13.490000,13.530000,13.260000,13.370000,11.892487,21637400\n2005-09-09,13.460000,13.480000,13.000000,13.280000,11.812428,26508800\n2005-09-12,13.490000,13.500000,13.280000,13.490000,11.999223,63897300\n2005-09-13,13.480000,14.000000,13.460000,13.640000,12.132647,52205500\n2005-09-14,13.680000,13.750000,13.440000,13.440000,11.954747,42778400\n2005-09-15,13.510000,13.530000,13.270000,13.370000,11.892487,35539600\n2005-09-16,13.430000,13.470000,13.120000,13.250000,11.785744,139633800\n2005-09-19,13.280000,13.390000,13.140000,13.290000,11.821325,34865300\n2005-09-20,13.320000,13.570000,13.270000,13.400000,11.919167,50218900\n2005-09-21,13.420000,13.470000,13.170000,13.290000,11.821325,41807500\n2005-09-22,13.320000,13.620000,13.210000,13.520000,12.025908,50974700\n2005-09-23,12.540000,12.600000,12.260000,12.450000,11.074152,171863900\n2005-09-26,12.530000,12.550000,12.320000,12.400000,11.029679,59122300\n2005-09-27,12.430000,12.460000,12.290000,12.330000,10.967413,37175600\n2005-09-28,12.330000,12.340000,12.180000,12.190000,10.842883,44322900\n2005-09-29,12.190000,12.350000,12.000000,12.320000,10.958520,52676000\n2005-09-30,12.300000,12.550000,12.250000,12.400000,11.029679,47203900\n2005-10-03,12.420000,12.570000,12.370000,12.380000,11.011891,29586900\n2005-10-04,12.380000,12.450000,12.140000,12.240000,10.887359,41009900\n2005-10-05,12.220000,12.250000,12.030000,12.170000,10.825096,34813500\n2005-10-06,12.190000,12.280000,11.900000,12.030000,10.700568,45171900\n2005-10-07,12.070000,12.100000,11.850000,11.980000,10.656094,39090400\n2005-10-10,11.970000,12.070000,11.850000,12.010000,10.682778,29861900\n2005-10-11,12.010000,12.210000,11.990000,12.080000,10.745041,45667300\n2005-10-12,12.060000,12.250000,12.000000,12.000000,10.673881,38115600\n2005-10-13,11.990000,12.220000,11.970000,12.080000,10.745041,27465200\n2005-10-14,12.140000,12.350000,12.060000,12.310000,10.949624,32795600\n2005-10-17,12.280000,12.590000,12.210000,12.380000,11.011891,39140000\n2005-10-18,12.330000,12.470000,12.320000,12.370000,11.002991,25834800\n2005-10-19,12.320000,12.590000,11.960000,12.190000,10.842883,58423300\n2005-10-20,12.290000,12.410000,12.110000,12.140000,10.798413,47209000\n2005-10-21,12.210000,12.380000,12.180000,12.260000,10.905152,35759000\n2005-10-24,12.380000,12.850000,12.310000,12.820000,11.403267,57706100\n2005-10-25,12.730000,13.050000,12.700000,12.970000,11.536691,51784400\n2005-10-26,12.850000,12.980000,12.570000,12.660000,11.260947,43585600\n2005-10-27,12.600000,12.730000,12.440000,12.450000,11.074152,29631200\n2005-10-28,12.560000,12.770000,12.480000,12.710000,11.305421,33849500\n2005-10-31,12.650000,12.780000,12.570000,12.680000,11.278737,41947800\n2005-11-01,12.580000,12.860000,12.580000,12.730000,11.323209,24436100\n2005-11-02,12.580000,12.660000,12.300000,12.480000,11.100841,50044000\n2005-11-03,12.400000,12.410000,11.750000,12.200000,10.851779,111121100\n2005-11-04,12.180000,12.640000,12.170000,12.610000,11.216468,44196600\n2005-11-07,12.590000,12.640000,12.450000,12.610000,11.216468,29100600\n2005-11-08,12.550000,12.650000,12.490000,12.620000,11.225367,25869100\n2005-11-09,12.560000,12.620000,12.480000,12.510000,11.127522,23907100\n2005-11-10,12.490000,12.710000,12.380000,12.700000,11.296529,31650400\n2005-11-11,12.700000,13.030000,12.650000,12.810000,11.394370,30479200\n2005-11-14,12.780000,12.940000,12.750000,12.820000,11.403267,23442500\n2005-11-15,12.730000,12.800000,12.600000,12.670000,11.269840,27329000\n2005-11-16,12.620000,12.630000,12.410000,12.490000,11.109732,31078200\n2005-11-17,12.450000,12.630000,12.380000,12.610000,11.216468,42275000\n2005-11-18,12.800000,12.820000,12.570000,12.620000,11.225367,33066200\n2005-11-21,12.530000,12.650000,12.340000,12.440000,11.065258,41774600\n2005-11-22,12.330000,12.490000,12.310000,12.390000,11.020787,46235900\n2005-11-23,12.350000,12.670000,12.340000,12.640000,11.243156,34181400\n2005-11-25,12.670000,12.770000,12.600000,12.610000,11.216468,7851700\n2005-11-28,12.590000,12.600000,12.470000,12.540000,11.154209,23031900\n2005-11-29,12.580000,12.800000,12.570000,12.730000,11.323209,28170600\n2005-11-30,12.710000,12.810000,12.560000,12.600000,11.207576,34494400\n2005-12-01,12.680000,12.920000,12.670000,12.860000,11.438843,30461000\n2005-12-02,12.940000,12.950000,12.730000,12.760000,11.349896,28696700\n2005-12-05,12.720000,12.740000,12.420000,12.510000,11.127522,44188500\n2005-12-06,12.540000,12.630000,12.420000,12.520000,11.136417,31834600\n2005-12-07,12.520000,12.580000,12.360000,12.510000,11.127522,40344700\n2005-12-08,12.500000,12.520000,12.230000,12.440000,11.065258,74267000\n2005-12-09,12.430000,12.580000,12.430000,12.500000,11.118629,44904200\n2005-12-12,12.510000,12.860000,12.500000,12.840000,11.421054,47509200\n2005-12-13,12.700000,12.860000,12.600000,12.830000,11.412163,40282800\n2005-12-14,12.820000,12.900000,12.680000,12.810000,11.394370,36832500\n2005-12-15,12.710000,12.850000,12.640000,12.830000,11.412163,39606200\n2005-12-16,12.540000,12.730000,11.990000,12.690000,11.287631,203707200\n2005-12-19,12.550000,12.620000,12.280000,12.320000,10.958520,88450900\n2005-12-20,12.390000,12.420000,12.250000,12.280000,10.922938,88569800\n2005-12-21,12.320000,12.320000,12.140000,12.180000,10.833991,42154200\n2005-12-22,12.160000,12.420000,12.150000,12.320000,10.958520,64662200\n2005-12-23,12.380000,12.510000,12.310000,12.340000,10.976313,28028200\n2005-12-27,12.330000,12.410000,12.240000,12.350000,10.985206,20909100\n2005-12-28,12.350000,12.440000,12.270000,12.280000,10.922938,21423600\n2005-12-29,12.270000,12.360000,12.230000,12.290000,10.931831,21138100\n2005-12-30,12.210000,12.400000,12.160000,12.210000,10.860674,22598000\n"
  },
  {
    "path": "datas/orcl-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n2014-01-02,37.779999,38.029999,37.549999,37.840000,35.166069,18162100\n2014-01-03,37.650002,37.860001,37.560001,37.619999,35.072853,11693900\n2014-01-06,37.639999,37.799999,37.419998,37.470001,34.932995,15329400\n2014-01-07,37.660000,37.930000,37.500000,37.849998,35.287270,16792200\n2014-01-08,37.790001,37.910000,37.560001,37.720001,35.166077,16111600\n2014-01-09,37.849998,37.849998,37.459999,37.650002,35.100822,13623500\n2014-01-10,37.750000,38.139999,37.590000,38.110001,35.529667,15402900\n2014-01-13,37.950001,38.200001,37.700001,37.750000,35.194050,20848300\n2014-01-14,37.779999,38.250000,37.709999,38.209999,35.622894,13486400\n2014-01-15,38.200001,38.570000,38.119999,38.410000,35.809361,17010900\n2014-01-16,38.389999,38.770000,38.169998,38.290001,35.697491,13463000\n2014-01-17,38.119999,38.470001,38.029999,38.209999,35.622894,14051100\n2014-01-21,38.520000,38.520000,37.799999,38.110001,35.529667,13540000\n2014-01-22,38.029999,38.279999,37.950001,37.980000,35.408474,14006300\n2014-01-23,38.169998,38.259998,37.930000,38.150002,35.566963,14174200\n2014-01-24,37.919998,37.959999,37.110001,37.110001,34.597382,26815600\n2014-01-27,37.259998,37.369999,36.490002,36.490002,34.019360,19073800\n2014-01-28,36.599998,37.130001,36.580002,37.099998,34.588047,13899900\n2014-01-29,37.180000,37.250000,36.709999,36.970001,34.466854,16553600\n2014-01-30,37.189999,37.560001,37.080002,37.400002,34.867741,12975500\n2014-01-31,37.029999,37.200001,36.680000,36.900002,34.401588,17039700\n2014-02-03,37.090000,37.090000,35.820000,35.840000,33.413364,21272600\n2014-02-04,35.650002,36.020000,35.439999,35.959999,33.525238,16228000\n2014-02-05,35.520000,36.250000,35.470001,35.950001,33.515923,11458400\n2014-02-06,36.119999,36.830002,36.110001,36.720001,34.233772,14762200\n2014-02-07,36.880001,37.230000,36.709999,37.189999,34.671955,13114700\n2014-02-10,37.240002,37.439999,37.070000,37.299999,34.774513,10976900\n2014-02-11,37.500000,37.900002,37.389999,37.840000,35.277946,12066100\n2014-02-12,37.799999,38.250000,37.660000,38.070000,35.492378,12343200\n2014-02-13,37.840000,38.490002,37.779999,38.419998,35.818676,11683200\n2014-02-14,38.330002,38.330002,37.919998,37.980000,35.408474,15641400\n2014-02-18,38.060001,38.119999,37.730000,37.970001,35.399147,10560300\n2014-02-19,37.830002,38.299999,37.799999,37.869999,35.305916,12491400\n2014-02-20,37.840000,38.349998,37.700001,38.270000,35.678833,11786000\n2014-02-21,38.330002,38.490002,38.080002,38.099998,35.520336,13243600\n2014-02-24,38.160000,38.459999,38.040001,38.139999,35.557640,10388100\n2014-02-25,38.110001,38.430000,37.889999,38.250000,35.660191,11766400\n2014-02-26,38.419998,38.830002,38.349998,38.500000,35.893257,11482900\n2014-02-27,38.500000,39.099998,38.360001,38.950001,36.312805,14055700\n2014-02-28,38.950001,39.369999,38.650002,39.110001,36.461967,19257800\n2014-03-03,38.720001,38.990002,38.380001,38.509998,35.902576,13293700\n2014-03-04,39.139999,39.500000,39.060001,39.410000,36.741653,13682100\n2014-03-05,39.410000,39.700001,39.299999,39.500000,36.825558,11929200\n2014-03-06,39.680000,39.849998,39.419998,39.459999,36.788265,13081900\n2014-03-07,39.570000,39.590000,38.599998,38.830002,36.200920,13821500\n2014-03-10,38.820000,38.950001,38.650002,38.860001,36.228897,8670300\n2014-03-11,39.000000,39.020000,38.619999,38.900002,36.266186,12841500\n2014-03-12,38.820000,38.820000,38.279999,38.520000,35.911907,13226200\n2014-03-13,38.619999,38.660000,37.520000,37.650002,35.100822,15361200\n2014-03-14,37.689999,38.000000,37.500000,37.599998,35.054203,14308300\n2014-03-17,37.799999,38.480000,37.799999,38.220001,35.632221,14981300\n2014-03-18,38.369999,38.939999,38.160000,38.840000,36.210239,29707200\n2014-03-19,37.799999,38.959999,37.400002,38.549999,35.939880,45154900\n2014-03-20,38.500000,38.689999,38.009998,38.369999,35.772049,18960200\n2014-03-21,38.700001,38.849998,37.500000,37.500000,34.960968,33897900\n2014-03-24,37.490002,38.340000,37.380001,38.180000,35.594929,22539000\n2014-03-25,38.130001,38.500000,38.099998,38.400002,35.800026,19750600\n2014-03-26,38.400002,39.459999,38.360001,39.080002,36.433994,31357500\n2014-03-27,38.990002,39.560001,38.799999,39.240002,36.583157,26283600\n2014-03-28,39.520000,39.860001,39.189999,39.570000,36.890823,18405100\n2014-03-31,39.750000,41.430000,39.630001,40.910000,38.140087,48340300\n2014-04-01,41.040001,42.000000,40.959999,41.490002,38.680820,35431800\n2014-04-02,41.369999,41.619999,40.849998,41.130001,38.345192,22754900\n2014-04-03,41.040001,41.139999,40.340000,40.369999,37.636642,22497000\n2014-04-04,40.599998,40.730000,39.660000,39.980000,37.384174,23836200\n2014-04-07,39.799999,39.919998,39.040001,39.470001,36.907307,27311900\n2014-04-08,39.439999,40.349998,39.360001,40.240002,37.627296,22197600\n2014-04-09,40.470001,40.919998,40.180000,40.880001,38.225746,20314000\n2014-04-10,40.889999,41.049999,39.480000,39.790001,37.206516,26397800\n2014-04-11,39.509998,39.880001,38.970001,38.980000,36.449104,18655800\n2014-04-14,39.080002,39.750000,39.080002,39.570000,37.000805,16022000\n2014-04-15,39.700001,39.980000,39.240002,39.730000,37.150414,14553400\n2014-04-16,39.939999,40.150002,39.509998,40.130001,37.524445,13614800\n2014-04-17,39.959999,40.180000,39.389999,40.080002,37.477695,14644100\n2014-04-21,40.240002,40.439999,40.060001,40.240002,37.627296,8593600\n2014-04-22,40.270000,40.619999,40.139999,40.459999,37.833012,10396100\n2014-04-23,40.279999,40.340000,39.750000,39.790001,37.206516,10048500\n2014-04-24,39.759998,39.860001,39.020000,39.750000,37.169109,13966400\n2014-04-25,39.810001,39.810001,39.230000,39.450001,36.888588,11647800\n2014-04-28,39.750000,40.279999,39.650002,40.130001,37.524445,20141200\n2014-04-29,40.250000,40.610001,40.070000,40.110001,37.505741,14996300\n2014-04-30,40.090000,40.930000,40.020000,40.880001,38.225746,16480900\n2014-05-01,40.720001,41.189999,40.639999,40.970001,38.309902,13945500\n2014-05-02,41.160000,41.209999,40.810001,40.810001,38.160286,10710100\n2014-05-05,41.130001,41.259998,40.770000,41.209999,38.534317,13722700\n2014-05-06,41.000000,41.290001,40.970001,41.009998,38.347301,12647500\n2014-05-07,41.150002,41.279999,40.490002,41.060001,38.394058,12570400\n2014-05-08,41.090000,41.259998,40.549999,40.869999,38.216400,10212900\n2014-05-09,40.799999,41.259998,40.540001,41.040001,38.375355,10262400\n2014-05-12,41.220001,42.139999,41.189999,41.950001,39.226269,18751400\n2014-05-13,42.020000,42.090000,41.639999,41.889999,39.170166,10319200\n2014-05-14,41.980000,42.020000,41.709999,41.880001,39.160816,14015200\n2014-05-15,41.840000,42.169998,41.639999,41.930000,39.207577,19267000\n2014-05-16,41.889999,41.970001,41.320000,41.689999,38.983154,15497400\n2014-05-19,41.480000,42.200001,41.410000,42.160000,39.422634,11929700\n2014-05-20,42.070000,42.099998,41.450001,41.560001,38.861603,10580200\n2014-05-21,41.669998,41.790001,41.480000,41.680000,38.973804,11151700\n2014-05-22,41.599998,41.939999,41.509998,41.520000,38.824196,12276200\n2014-05-23,41.650002,42.230000,41.490002,42.150002,39.413288,12044200\n2014-05-27,42.259998,42.349998,41.730000,41.910000,39.188869,12680200\n2014-05-28,41.990002,42.189999,41.560001,41.570000,38.870949,11308800\n2014-05-29,41.790001,42.209999,41.610001,42.200001,39.460037,9629500\n2014-05-30,42.080002,42.200001,41.849998,42.020000,39.291733,13496500\n2014-06-02,41.959999,42.020000,41.610001,41.970001,39.244972,11284900\n2014-06-03,41.840000,41.919998,41.580002,41.810001,39.095356,10968400\n2014-06-04,41.790001,41.790001,41.330002,41.700001,38.992508,8936300\n2014-06-05,41.849998,42.330002,41.740002,42.099998,39.366535,10647800\n2014-06-06,42.290001,42.630001,42.250000,42.630001,39.862125,11447800\n2014-06-09,42.650002,42.810001,42.410000,42.700001,39.927574,10307400\n2014-06-10,42.570000,42.880001,42.490002,42.660000,39.890175,13457200\n2014-06-11,42.450001,42.880001,42.360001,42.560001,39.796661,9622700\n2014-06-12,42.529999,42.619999,41.840000,42.000000,39.273022,11060900\n2014-06-13,42.049999,42.180000,41.709999,42.139999,39.403923,10324600\n2014-06-16,42.000000,42.230000,41.770000,42.150002,39.413288,8150200\n2014-06-17,42.189999,42.700001,41.980000,42.320000,39.572247,12792400\n2014-06-18,42.380001,42.860001,42.299999,42.810001,40.030437,10307000\n2014-06-19,42.930000,43.189999,42.430000,42.509998,39.749908,27255800\n2014-06-20,40.259998,40.939999,39.930000,40.820000,38.169636,65103700\n2014-06-23,40.930000,41.330002,40.750000,41.099998,38.431465,16956600\n2014-06-24,40.990002,41.389999,40.660000,40.759998,38.113522,16459200\n2014-06-25,40.730000,40.840000,40.389999,40.459999,37.833012,13889400\n2014-06-26,40.549999,40.549999,39.980000,40.150002,37.543140,16642500\n2014-06-27,40.029999,40.660000,40.029999,40.529999,37.898464,15320500\n2014-06-30,40.599998,40.820000,40.490002,40.529999,37.898464,14098200\n2014-07-01,40.410000,40.910000,40.410000,40.770000,38.122887,13147000\n2014-07-02,40.930000,41.200001,40.770000,40.950001,38.291203,13400200\n2014-07-03,40.980000,41.360001,40.970001,41.340000,38.655888,7863600\n2014-07-07,41.009998,41.110001,40.750000,40.889999,38.346409,11959400\n2014-07-08,40.689999,40.849998,40.380001,40.560001,38.036942,12350600\n2014-07-09,40.610001,40.720001,39.990002,40.259998,37.755585,14711600\n2014-07-10,39.889999,40.520000,39.889999,40.320000,37.811855,9566900\n2014-07-11,40.490002,40.490002,39.980000,40.130001,37.633686,11942300\n2014-07-14,40.430000,40.680000,40.259998,40.490002,37.971291,13586800\n2014-07-15,40.380001,40.810001,40.360001,40.540001,38.018177,11813800\n2014-07-16,40.810001,40.880001,40.130001,40.259998,37.755585,14722600\n2014-07-17,40.209999,40.709999,39.860001,39.910000,37.427368,24447800\n2014-07-18,39.980000,40.160000,39.889999,40.000000,37.511768,19123500\n2014-07-21,40.029999,40.240002,39.919998,40.009998,37.521152,15864700\n2014-07-22,40.139999,40.700001,39.959999,40.430000,37.915028,13728100\n2014-07-23,40.430000,40.650002,40.240002,40.310001,37.802479,9191700\n2014-07-24,40.349998,40.669998,40.349998,40.470001,37.952534,10797700\n2014-07-25,40.270000,40.639999,40.270000,40.330002,37.821239,7483800\n2014-07-28,40.310001,40.820000,40.230000,40.549999,38.027554,9658200\n2014-07-29,40.709999,40.919998,40.500000,40.630001,38.102581,9450400\n2014-07-30,40.709999,41.029999,40.580002,40.959999,38.412048,11406300\n2014-07-31,40.650002,40.939999,40.349998,40.389999,37.877506,13689500\n2014-08-01,40.189999,40.529999,39.570000,39.610001,37.146038,15074700\n2014-08-04,39.630001,40.220001,39.529999,40.099998,37.605545,12356200\n2014-08-05,40.009998,40.380001,39.810001,39.959999,37.474258,8806600\n2014-08-06,39.849998,40.349998,39.779999,40.160000,37.661819,8184800\n2014-08-07,40.299999,40.430000,39.590000,39.669998,37.202290,9180500\n2014-08-08,39.730000,39.970001,39.560001,39.939999,37.455502,8862000\n2014-08-11,39.990002,40.139999,39.810001,39.919998,37.436737,10292800\n2014-08-12,39.740002,40.040001,39.730000,39.900002,37.417995,6704300\n2014-08-13,40.119999,40.299999,40.020000,40.240002,37.736843,10629700\n2014-08-14,40.290001,40.400002,39.980000,40.220001,37.718086,9707000\n2014-08-15,40.240002,40.590000,39.980000,40.279999,37.774349,13418800\n2014-08-18,40.450001,40.770000,40.400002,40.639999,38.111950,7633600\n2014-08-19,40.720001,41.580002,40.639999,41.410000,38.834057,14378600\n2014-08-20,41.580002,41.580002,41.090000,41.250000,38.684006,9627100\n2014-08-21,41.160000,41.810001,41.160000,41.580002,38.993484,9569200\n2014-08-22,41.340000,41.799999,41.270000,41.630001,39.040375,9260700\n2014-08-25,41.740002,42.040001,41.639999,41.740002,39.143536,8856700\n2014-08-26,41.849998,42.000000,41.779999,41.840000,39.237309,7320800\n2014-08-27,41.750000,41.799999,41.419998,41.639999,39.049747,8440000\n2014-08-28,41.669998,41.669998,41.209999,41.270000,38.702766,8737100\n2014-08-29,41.240002,41.730000,41.240002,41.529999,38.946590,8970900\n2014-09-02,41.599998,41.680000,41.459999,41.660000,39.068508,8538600\n2014-09-03,41.799999,41.950001,41.619999,41.900002,39.293579,10041600\n2014-09-04,41.889999,42.090000,41.369999,41.549999,38.965351,12248100\n2014-09-05,41.610001,41.759998,41.259998,41.270000,38.702766,15155600\n2014-09-08,41.009998,41.180000,40.270000,40.639999,38.111950,19658500\n2014-09-09,40.509998,40.910000,40.430000,40.709999,38.177605,14044100\n2014-09-10,40.700001,40.810001,40.570000,40.709999,38.177605,9134500\n2014-09-11,40.250000,40.689999,40.200001,40.680000,38.149467,12389100\n2014-09-12,40.740002,40.740002,40.400002,40.500000,37.980663,11912300\n2014-09-15,40.500000,40.770000,40.209999,40.660000,38.130707,14018100\n2014-09-16,40.810001,41.330002,40.500000,41.189999,38.627747,13220100\n2014-09-17,41.189999,41.330002,40.770000,41.139999,38.580856,14083300\n2014-09-18,41.349998,41.770000,41.200001,41.549999,38.965351,26454500\n2014-09-19,40.580002,40.660000,39.279999,39.799999,37.324219,86679100\n2014-09-22,39.680000,39.740002,39.240002,39.580002,37.117893,24572600\n2014-09-23,39.500000,39.590000,38.799999,38.830002,36.414551,34353300\n2014-09-24,38.770000,39.560001,38.570000,39.419998,36.967842,18937000\n2014-09-25,39.349998,39.349998,38.650002,38.759998,36.348900,13287800\n2014-09-26,38.770000,39.009998,38.520000,38.950001,36.527084,16006400\n2014-09-29,38.570000,38.630001,38.270000,38.439999,36.048805,16586000\n2014-09-30,38.459999,38.570000,38.139999,38.279999,35.898754,21143300\n2014-10-01,38.320000,38.410000,37.950001,38.090000,35.720577,17452400\n2014-10-02,38.150002,38.549999,37.919998,38.270000,35.889385,14808100\n2014-10-03,38.500000,39.119999,38.400002,38.889999,36.470814,15289500\n2014-10-06,38.970001,39.240002,38.950001,39.080002,36.762436,14168000\n2014-10-07,38.939999,39.080002,38.430000,38.459999,36.179203,14309200\n2014-10-08,38.820000,39.049999,38.040001,39.020000,36.705994,16005500\n2014-10-09,38.990002,39.209999,38.509998,38.740002,36.442600,15004900\n2014-10-10,38.660000,39.099998,38.090000,38.099998,35.840542,18234100\n2014-10-13,38.110001,38.779999,37.860001,38.230000,35.962833,20723700\n2014-10-14,38.660000,39.040001,38.419998,38.459999,36.179203,19508500\n2014-10-15,37.980000,38.430000,37.180000,38.299999,36.028690,24561500\n2014-10-16,37.990002,38.180000,37.520000,37.560001,35.332577,21419300\n2014-10-17,37.689999,38.020000,37.340000,37.869999,35.624191,21122700\n2014-10-20,36.310001,37.810001,35.820000,37.799999,35.558342,16654100\n2014-10-21,38.290001,38.470001,38.040001,38.349998,36.075722,15381900\n2014-10-22,38.369999,38.430000,37.580002,37.639999,35.407825,16810200\n2014-10-23,38.080002,38.500000,38.009998,38.230000,35.962833,9659100\n2014-10-24,38.320000,38.740002,38.250000,38.730000,36.433197,8975900\n2014-10-27,38.500000,38.720001,38.349998,38.430000,36.150974,7525300\n2014-10-28,38.340000,38.730000,38.340000,38.650002,36.357933,11631800\n2014-10-29,38.730000,38.740002,38.459999,38.580002,36.292084,10923800\n2014-10-30,38.400002,38.660000,38.389999,38.500000,36.216820,9644400\n2014-10-31,38.880001,39.049999,38.830002,39.049999,36.734211,16142800\n2014-11-03,39.020000,39.040001,38.759998,38.990002,36.677769,10318600\n2014-11-04,38.930000,39.150002,38.900002,39.130001,36.809471,12671000\n2014-11-05,39.340000,39.509998,39.110001,39.290001,36.959976,12280300\n2014-11-06,39.220001,39.860001,39.110001,39.810001,37.449142,11603400\n2014-11-07,39.689999,39.970001,39.610001,39.939999,37.571430,13728500\n2014-11-10,39.970001,40.490002,39.889999,40.450001,38.051189,11058100\n2014-11-11,40.529999,40.590000,40.349998,40.470001,38.070004,7061000\n2014-11-12,40.560001,40.590000,40.049999,40.139999,37.759575,10965100\n2014-11-13,40.169998,40.770000,39.889999,40.720001,38.305172,11868700\n2014-11-14,40.860001,41.070000,40.630001,40.840000,38.418060,11476500\n2014-11-17,40.709999,41.200001,40.630001,41.160000,38.719078,11987600\n2014-11-18,41.189999,41.480000,41.110001,41.259998,38.813145,9328200\n2014-11-19,41.150002,41.270000,40.810001,40.919998,38.493309,9202600\n2014-11-20,40.709999,41.009998,40.610001,40.919998,38.493309,9062200\n2014-11-21,41.320000,41.500000,41.169998,41.439999,38.982475,12641400\n2014-11-24,41.490002,41.639999,41.360001,41.430000,38.973068,9542100\n2014-11-25,41.509998,41.639999,41.150002,41.150002,38.709671,12404200\n2014-11-26,41.180000,41.910000,41.180000,41.869999,39.386971,11590000\n2014-11-28,41.980000,42.509998,41.889999,42.410000,39.894947,11890100\n2014-12-01,42.009998,42.380001,42.009998,42.080002,39.584522,10802400\n2014-12-02,41.900002,42.360001,41.860001,42.180000,39.678596,9083200\n2014-12-03,41.939999,42.139999,41.639999,42.060001,39.565712,10326000\n2014-12-04,42.119999,42.119999,41.490002,41.889999,39.405788,9177100\n2014-12-05,42.020000,42.020000,41.590000,41.930000,39.443420,8925300\n2014-12-08,41.910000,42.029999,41.330002,41.369999,38.916622,12766500\n2014-12-09,40.980000,41.930000,40.889999,41.869999,39.386971,13897500\n2014-12-10,41.700001,41.810001,40.880001,40.919998,38.493309,12547600\n2014-12-11,41.119999,41.639999,40.709999,40.759998,38.342800,12395800\n2014-12-12,40.240002,40.779999,39.919998,39.950001,37.580837,14108200\n2014-12-15,41.209999,41.650002,40.770000,41.110001,38.672047,22343100\n2014-12-16,40.889999,41.360001,40.610001,40.630001,38.220520,16424500\n2014-12-17,41.060001,41.630001,40.680000,41.160000,38.719078,18151000\n2014-12-18,43.830002,45.369999,43.570000,45.349998,42.660591,54495600\n2014-12-19,45.099998,46.150002,44.980000,46.000000,43.272057,41782200\n2014-12-22,45.570000,46.049999,45.410000,45.650002,42.942802,21264400\n2014-12-23,45.529999,46.500000,45.459999,46.009998,43.281460,14042400\n2014-12-24,46.360001,46.709999,46.150002,46.230000,43.488419,10238200\n2014-12-26,46.189999,46.500000,46.070000,46.099998,43.366119,6901500\n2014-12-29,46.020000,46.090000,45.599998,45.610001,42.905186,9701400\n2014-12-30,45.549999,45.660000,45.290001,45.340000,42.651192,9968400\n2014-12-31,45.450001,45.560001,44.970001,44.970001,42.303135,13269200\n"
  },
  {
    "path": "datas/ticksample.csv",
    "content": 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  },
  {
    "path": "datas/yhoo-1996-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n1996-04-12,1.052083,1.791667,1.020833,1.375000,1.375000,408720000\n1996-04-15,1.489583,1.500000,1.250000,1.343750,1.343750,79219200\n1996-04-16,1.343750,1.343750,1.166667,1.197917,1.197917,48016000\n1996-04-17,1.177083,1.177083,1.031250,1.125000,1.125000,42816000\n1996-04-18,1.255208,1.255208,1.166667,1.218750,1.218750,27268800\n1996-04-19,1.255208,1.281250,1.197917,1.203125,1.203125,12913600\n1996-04-22,1.208333,1.208333,1.145833,1.177083,1.177083,8041600\n1996-04-23,1.197917,1.208333,1.166667,1.166667,1.166667,4297600\n1996-04-24,1.187500,1.213542,1.156250,1.208333,1.208333,7795200\n1996-04-25,1.250000,1.343750,1.208333,1.302083,1.302083,19478400\n1996-04-26,1.333333,1.343750,1.302083,1.322917,1.322917,7561600\n1996-04-29,1.312500,1.333333,1.270833,1.291667,1.291667,5928000\n1996-04-30,1.302083,1.312500,1.229167,1.239583,1.239583,5003200\n1996-05-01,1.260417,1.322917,1.250000,1.317708,1.317708,4881600\n1996-05-02,1.312500,1.385417,1.312500,1.369792,1.369792,9731200\n1996-05-03,1.343750,1.354167,1.302083,1.333333,1.333333,6116800\n1996-05-06,1.354167,1.354167,1.223958,1.255208,1.255208,8214400\n1996-05-07,1.250000,1.281250,1.239583,1.265625,1.265625,5569600\n1996-05-08,1.270833,1.281250,1.213542,1.260417,1.260417,6288000\n1996-05-09,1.250000,1.281250,1.239583,1.281250,1.281250,4032000\n1996-05-10,1.281250,1.322917,1.270833,1.302083,1.302083,5875200\n1996-05-13,1.307292,1.312500,1.250000,1.260417,1.260417,2747200\n1996-05-14,1.281250,1.291667,1.229167,1.229167,1.229167,4003200\n1996-05-15,1.250000,1.281250,1.239583,1.260417,1.260417,2200000\n1996-05-16,1.239583,1.270833,1.239583,1.260417,1.260417,3390400\n1996-05-17,1.260417,1.270833,1.239583,1.250000,1.250000,2448000\n1996-05-20,1.250000,1.265625,1.208333,1.208333,1.208333,4257600\n1996-05-21,1.208333,1.213542,1.156250,1.166667,1.166667,4048000\n1996-05-22,1.166667,1.166667,1.125000,1.145833,1.145833,2563200\n1996-05-23,1.145833,1.229167,1.145833,1.229167,1.229167,2918400\n1996-05-24,1.229167,1.250000,1.197917,1.229167,1.229167,2491200\n1996-05-28,1.218750,1.234375,1.187500,1.208333,1.208333,2224000\n1996-05-29,1.197917,1.197917,1.125000,1.145833,1.145833,3726400\n1996-05-30,1.145833,1.208333,1.145833,1.177083,1.177083,3038400\n1996-05-31,1.197917,1.197917,1.135417,1.166667,1.166667,1734400\n1996-06-03,1.156250,1.166667,1.135417,1.135417,1.135417,1142400\n1996-06-04,1.135417,1.166667,1.130208,1.130208,1.130208,2468800\n1996-06-05,1.145833,1.145833,1.125000,1.130208,1.130208,1166400\n1996-06-06,1.187500,1.197917,1.145833,1.156250,1.156250,3873600\n1996-06-07,1.135417,1.135417,1.104167,1.119792,1.119792,3457600\n1996-06-10,1.119792,1.119792,1.088542,1.104167,1.104167,1849600\n1996-06-11,1.088542,1.104167,1.062500,1.062500,1.062500,4243200\n1996-06-12,1.072917,1.114583,1.072917,1.083333,1.083333,2608000\n1996-06-13,1.072917,1.093750,1.020833,1.062500,1.062500,5668800\n1996-06-14,1.031250,1.062500,1.031250,1.031250,1.031250,2046400\n1996-06-17,1.031250,1.041667,0.937500,0.958333,0.958333,3249600\n1996-06-18,0.906250,0.927083,0.854167,0.854167,0.854167,5564800\n1996-06-19,0.875000,0.895833,0.854167,0.864583,0.864583,4033600\n1996-06-20,0.875000,0.906250,0.854167,0.906250,0.906250,2958400\n1996-06-21,0.927083,0.947917,0.906250,0.927083,0.927083,2544000\n1996-06-24,0.927083,0.927083,0.906250,0.906250,0.906250,633600\n1996-06-25,0.906250,0.927083,0.895833,0.906250,0.906250,993600\n1996-06-26,0.895833,0.916667,0.864583,0.875000,0.875000,1488000\n1996-06-27,0.885417,0.916667,0.760417,0.760417,0.760417,7392000\n1996-06-28,0.812500,0.875000,0.791667,0.875000,0.875000,4067200\n1996-07-01,0.854167,0.927083,0.854167,0.906250,0.906250,2286400\n1996-07-02,0.927083,0.927083,0.885417,0.885417,0.885417,984000\n1996-07-03,0.906250,0.906250,0.854167,0.875000,0.875000,1384000\n1996-07-05,0.833333,0.859375,0.822917,0.833333,0.833333,748800\n1996-07-08,0.833333,0.833333,0.802083,0.833333,0.833333,1211200\n1996-07-09,0.812500,0.833333,0.770833,0.770833,0.770833,2112000\n1996-07-10,0.781250,0.781250,0.666667,0.682292,0.682292,5899200\n1996-07-11,0.666667,0.718750,0.645833,0.718750,0.718750,3510400\n1996-07-12,0.708333,0.750000,0.708333,0.729167,0.729167,1696000\n1996-07-15,0.750000,0.770833,0.729167,0.744792,0.744792,1900800\n1996-07-16,0.739583,0.770833,0.723958,0.750000,0.750000,3726400\n1996-07-17,0.755208,0.802083,0.739583,0.802083,0.802083,1849600\n1996-07-18,0.812500,0.828125,0.781250,0.802083,0.802083,1608000\n1996-07-19,0.828125,0.828125,0.781250,0.786458,0.786458,1235200\n1996-07-22,0.791667,0.791667,0.729167,0.750000,0.750000,1132800\n1996-07-23,0.729167,0.750000,0.677083,0.677083,0.677083,1881600\n1996-07-24,0.677083,0.682292,0.645833,0.656250,0.656250,888000\n1996-07-25,0.656250,0.697917,0.656250,0.677083,0.677083,1283200\n1996-07-26,0.677083,0.692708,0.656250,0.692708,0.692708,600000\n1996-07-29,0.677083,0.692708,0.671875,0.671875,0.671875,371200\n1996-07-30,0.677083,0.729167,0.677083,0.708333,0.708333,686400\n1996-07-31,0.708333,0.750000,0.708333,0.750000,0.750000,931200\n1996-08-01,0.750000,0.791667,0.729167,0.791667,0.791667,1388800\n1996-08-02,0.770833,0.802083,0.770833,0.786458,0.786458,1168000\n1996-08-05,0.791667,0.807292,0.786458,0.786458,0.786458,510400\n1996-08-06,0.802083,0.802083,0.755208,0.755208,0.755208,817600\n1996-08-07,0.744792,0.760417,0.739583,0.750000,0.750000,971200\n1996-08-08,0.750000,0.770833,0.739583,0.770833,0.770833,1748800\n1996-08-09,0.723958,0.739583,0.687500,0.739583,0.739583,1833600\n1996-08-12,0.729167,0.729167,0.708333,0.718750,0.718750,864000\n1996-08-13,0.708333,0.854167,0.708333,0.828125,0.828125,10464000\n1996-08-14,0.838542,0.859375,0.833333,0.848958,0.848958,4852800\n1996-08-15,0.848958,0.848958,0.817708,0.828125,0.828125,1177600\n1996-08-16,0.812500,0.828125,0.796875,0.807292,0.807292,864000\n1996-08-19,0.807292,0.817708,0.807292,0.817708,0.817708,428800\n1996-08-20,0.817708,0.817708,0.796875,0.796875,0.796875,494400\n1996-08-21,0.796875,0.802083,0.760417,0.776042,0.776042,688000\n1996-08-22,0.776042,0.833333,0.760417,0.828125,0.828125,1921600\n1996-08-23,0.822917,0.843750,0.822917,0.822917,0.822917,1024000\n1996-08-26,0.838542,0.838542,0.822917,0.822917,0.822917,388800\n1996-08-27,0.822917,0.848958,0.822917,0.838542,0.838542,1897600\n1996-08-28,0.838542,0.921875,0.838542,0.880208,0.880208,5193600\n1996-08-29,0.869792,0.880208,0.822917,0.822917,0.822917,1987200\n1996-08-30,0.828125,0.838542,0.807292,0.817708,0.817708,913600\n1996-09-03,0.791667,0.807292,0.781250,0.791667,0.791667,1012800\n1996-09-04,0.791667,0.802083,0.776042,0.786458,0.786458,528000\n1996-09-05,0.765625,0.776042,0.765625,0.765625,0.765625,148800\n1996-09-06,0.760417,0.776042,0.755208,0.765625,0.765625,753600\n1996-09-09,0.755208,0.786458,0.755208,0.781250,0.781250,835200\n1996-09-10,0.781250,0.796875,0.770833,0.770833,0.770833,907200\n1996-09-11,0.781250,0.791667,0.770833,0.786458,0.786458,1267200\n1996-09-12,0.781250,0.812500,0.781250,0.812500,0.812500,1374400\n1996-09-13,0.828125,0.869792,0.822917,0.859375,0.859375,3193600\n1996-09-16,0.859375,0.875000,0.854167,0.859375,0.859375,1382400\n1996-09-17,0.880208,0.901042,0.864583,0.901042,0.901042,2665600\n1996-09-18,0.895833,0.901042,0.848958,0.864583,0.864583,1977600\n1996-09-19,0.864583,0.895833,0.854167,0.895833,0.895833,1761600\n1996-09-20,0.895833,1.000000,0.890625,1.000000,1.000000,7460800\n1996-09-23,0.994792,1.026042,0.989583,0.992188,0.992188,5332800\n1996-09-24,0.989583,0.994792,0.937500,0.947917,0.947917,3774400\n1996-09-25,0.937500,0.942708,0.901042,0.911458,0.911458,2040000\n1996-09-26,0.901042,0.921875,0.901042,0.911458,0.911458,1067200\n1996-09-27,0.911458,0.921875,0.895833,0.906250,0.906250,688000\n1996-09-30,0.906250,0.906250,0.885417,0.885417,0.885417,849600\n1996-10-01,0.875000,0.885417,0.796875,0.817708,0.817708,4105600\n1996-10-02,0.848958,0.942708,0.848958,0.906250,0.906250,5827200\n1996-10-03,0.921875,0.979167,0.916667,0.942708,0.942708,4324800\n1996-10-04,0.963542,0.968750,0.916667,0.916667,0.916667,2046400\n1996-10-07,0.916667,0.942708,0.916667,0.927083,0.927083,715200\n1996-10-08,0.932292,0.942708,0.869792,0.869792,0.869792,2299200\n1996-10-09,0.869792,0.937500,0.869792,0.937500,0.937500,2366400\n1996-10-10,0.947917,0.953125,0.848958,0.854167,0.854167,8673600\n1996-10-11,0.848958,0.869792,0.848958,0.859375,0.859375,2382400\n1996-10-14,0.869792,0.901042,0.859375,0.901042,0.901042,6452800\n1996-10-15,0.895833,0.906250,0.875000,0.895833,0.895833,3884800\n1996-10-16,0.890625,0.901042,0.875000,0.880208,0.880208,2702400\n1996-10-17,0.880208,0.921875,0.880208,0.916667,0.916667,3504000\n1996-10-18,0.927083,0.927083,0.906250,0.916667,0.916667,2582400\n1996-10-21,0.906250,0.927083,0.906250,0.911458,0.911458,2232000\n1996-10-22,0.911458,0.921875,0.885417,0.885417,0.885417,1868800\n1996-10-23,0.885417,0.895833,0.875000,0.880208,0.880208,1492800\n1996-10-24,0.875000,0.880208,0.869792,0.869792,0.869792,1244800\n1996-10-25,0.869792,0.875000,0.854167,0.854167,0.854167,1984000\n1996-10-28,0.854167,0.864583,0.854167,0.859375,0.859375,558400\n1996-10-29,0.859375,0.864583,0.854167,0.854167,0.854167,625600\n1996-10-30,0.854167,0.859375,0.838542,0.838542,0.838542,969600\n1996-10-31,0.833333,0.843750,0.812500,0.822917,0.822917,1646400\n1996-11-01,0.812500,0.822917,0.812500,0.812500,0.812500,340800\n1996-11-04,0.812500,0.822917,0.791667,0.791667,0.791667,995200\n1996-11-05,0.791667,0.802083,0.734375,0.760417,0.760417,2982400\n1996-11-06,0.750000,0.770833,0.744792,0.750000,0.750000,1656000\n1996-11-07,0.744792,0.765625,0.744792,0.755208,0.755208,932800\n1996-11-08,0.755208,0.812500,0.755208,0.812500,0.812500,2179200\n1996-11-11,0.812500,0.843750,0.812500,0.838542,0.838542,2348800\n1996-11-12,0.828125,0.838542,0.817708,0.822917,0.822917,712000\n1996-11-13,0.822917,0.822917,0.776042,0.791667,0.791667,1340800\n1996-11-14,0.791667,0.791667,0.755208,0.757813,0.757813,1681600\n1996-11-15,0.765625,0.776042,0.760417,0.770833,0.770833,1192000\n1996-11-18,0.760417,0.770833,0.744792,0.755208,0.755208,1729600\n1996-11-19,0.755208,0.755208,0.739583,0.744792,0.744792,2137600\n1996-11-20,0.744792,0.755208,0.734375,0.739583,0.739583,1022400\n1996-11-21,0.734375,0.739583,0.718750,0.723958,0.723958,1588800\n1996-11-22,0.729167,0.734375,0.718750,0.734375,0.734375,1124800\n1996-11-25,0.734375,0.802083,0.723958,0.796875,0.796875,6734400\n1996-11-26,0.802083,0.822917,0.786458,0.786458,0.786458,3419200\n1996-11-27,0.791667,0.791667,0.770833,0.773438,0.773438,1057600\n1996-11-29,0.770833,0.796875,0.770833,0.796875,0.796875,803200\n1996-12-02,0.781250,0.796875,0.781250,0.791667,0.791667,1081600\n1996-12-03,0.781250,0.859375,0.781250,0.833333,0.833333,9120000\n1996-12-04,0.828125,0.848958,0.822917,0.822917,0.822917,1633600\n1996-12-05,0.822917,0.921875,0.822917,0.888021,0.888021,8190400\n1996-12-06,0.843750,0.906250,0.828125,0.854167,0.854167,5596800\n1996-12-09,0.848958,0.890625,0.843750,0.885417,0.885417,3827200\n1996-12-10,0.885417,0.890625,0.843750,0.843750,0.843750,2521600\n1996-12-11,0.828125,0.828125,0.796875,0.807292,0.807292,2592000\n1996-12-12,0.812500,0.838542,0.791667,0.833333,0.833333,2851200\n1996-12-13,0.812500,0.843750,0.812500,0.828125,0.828125,1353600\n1996-12-16,0.833333,0.843750,0.776042,0.781250,0.781250,1886400\n1996-12-17,0.776042,0.781250,0.744792,0.755208,0.755208,1732800\n1996-12-18,0.750000,0.807292,0.744792,0.765625,0.765625,5496000\n1996-12-19,0.770833,0.776042,0.744792,0.750000,0.750000,2049600\n1996-12-20,0.755208,0.755208,0.708333,0.708333,0.708333,4926400\n1996-12-23,0.729167,0.770833,0.723958,0.747396,0.747396,3619200\n1996-12-24,0.755208,0.755208,0.739583,0.755208,0.755208,715200\n1996-12-26,0.750000,0.760417,0.744792,0.744792,0.744792,1513600\n1996-12-27,0.760417,0.781250,0.744792,0.760417,0.760417,1806400\n1996-12-30,0.760417,0.760417,0.739583,0.750000,0.750000,1396800\n1996-12-31,0.729167,0.734375,0.697917,0.708333,0.708333,3923200\n1997-01-02,0.708333,0.729167,0.697917,0.729167,0.729167,2579200\n1997-01-03,0.734375,0.781250,0.729817,0.765625,0.765625,2180800\n1997-01-06,0.796875,0.828125,0.791667,0.828125,0.828125,6640000\n1997-01-07,0.828125,0.854167,0.809896,0.838542,0.838542,5008000\n1997-01-08,0.841146,0.848958,0.781250,0.786458,0.786458,2924800\n1997-01-09,0.786458,0.822917,0.786458,0.807292,0.807292,4907200\n1997-01-10,0.791667,0.802083,0.791667,0.802083,0.802083,2577600\n1997-01-13,0.828125,0.921875,0.822917,0.906250,0.906250,18164800\n1997-01-14,0.911458,0.911458,0.869792,0.869792,0.869792,5376000\n1997-01-15,0.958333,1.083333,0.953125,1.057292,1.057292,50636800\n1997-01-16,1.057292,1.125000,1.031250,1.088542,1.088542,20267200\n1997-01-17,1.083333,1.119792,1.036458,1.109375,1.109375,24388800\n1997-01-20,1.104167,1.302083,1.104167,1.229167,1.229167,36244800\n1997-01-21,1.203125,1.343750,1.192708,1.328125,1.328125,30428800\n1997-01-22,1.317708,1.385417,1.291667,1.328125,1.328125,29809600\n1997-01-23,1.338542,1.468750,1.338542,1.468750,1.468750,28028800\n1997-01-24,1.442708,1.458333,1.333333,1.380208,1.380208,28099200\n1997-01-27,1.380208,1.557292,1.380208,1.518229,1.518229,41558400\n1997-01-28,1.526042,1.526042,1.317708,1.359375,1.359375,27313600\n1997-01-29,1.359375,1.406250,1.328125,1.401042,1.401042,17718400\n1997-01-30,1.375000,1.473958,1.354167,1.421875,1.421875,21408000\n1997-01-31,1.437500,1.463542,1.406250,1.411458,1.411458,6904000\n1997-02-03,1.411458,1.458333,1.395833,1.453125,1.453125,16043200\n1997-02-04,1.442708,1.510417,1.416667,1.442708,1.442708,13686400\n1997-02-05,1.432292,1.458333,1.380208,1.411458,1.411458,7427200\n1997-02-06,1.395833,1.421875,1.328125,1.343750,1.343750,11481600\n1997-02-07,1.322917,1.322917,1.239583,1.255208,1.255208,18787200\n1997-02-10,1.255208,1.265625,1.197917,1.213542,1.213542,9270400\n1997-02-11,1.218750,1.307292,1.218750,1.307292,1.307292,12691200\n1997-02-12,1.338542,1.510417,1.312500,1.484375,1.484375,28483200\n1997-02-13,1.479167,1.505208,1.437500,1.494792,1.494792,17510400\n1997-02-14,1.479167,1.489583,1.390625,1.432292,1.432292,10555200\n1997-02-18,1.427083,1.437500,1.317708,1.421875,1.421875,10705600\n1997-02-19,1.416667,1.416667,1.343750,1.375000,1.375000,9553600\n1997-02-20,1.364583,1.375000,1.302083,1.328125,1.328125,7259200\n1997-02-21,1.333333,1.338542,1.281250,1.296875,1.296875,6304000\n1997-02-24,1.302083,1.375000,1.265625,1.265625,1.265625,9985600\n1997-02-25,1.302083,1.416667,1.291667,1.348958,1.348958,13734400\n1997-02-26,1.333333,1.348958,1.281250,1.302083,1.302083,12100800\n1997-02-27,1.302083,1.317708,1.270833,1.270833,1.270833,4944000\n1997-02-28,1.276042,1.286458,1.234375,1.260417,1.260417,8812800\n1997-03-03,1.244792,1.328125,1.239583,1.250000,1.250000,10776000\n1997-03-04,1.255208,1.255208,1.192708,1.195313,1.195313,7508800\n1997-03-05,1.192708,1.197917,1.109375,1.125000,1.125000,12091200\n1997-03-06,1.114583,1.135417,1.062500,1.093750,1.093750,12792000\n1997-03-07,1.093750,1.140625,1.088542,1.135417,1.135417,6217600\n1997-03-10,1.135417,1.135417,1.104167,1.109375,1.109375,3513600\n1997-03-11,1.114583,1.140625,1.083333,1.083333,1.083333,7019200\n1997-03-12,1.083333,1.114583,1.041667,1.067708,1.067708,7958400\n1997-03-13,1.067708,1.067708,0.947917,0.950521,0.950521,13540800\n1997-03-14,0.963542,1.057292,0.932292,1.052083,1.052083,11526400\n1997-03-17,1.062500,1.098958,0.937500,0.963542,0.963542,24931200\n1997-03-18,0.968750,1.005208,0.916667,0.942708,0.942708,11500800\n1997-03-19,0.947917,1.057292,0.942708,1.031250,1.031250,21164800\n1997-03-20,1.130208,1.229167,1.125000,1.208333,1.208333,29731200\n1997-03-21,1.223958,1.276042,1.104167,1.197917,1.197917,27048000\n1997-03-24,1.197917,1.250000,1.135417,1.197917,1.197917,14780800\n1997-03-25,1.223958,1.255208,1.125000,1.169271,1.169271,10316800\n1997-03-26,1.171875,1.250000,1.151042,1.234375,1.234375,10580800\n1997-03-27,1.250000,1.250000,1.177083,1.190104,1.190104,7811200\n1997-03-31,1.203125,1.203125,1.125000,1.171875,1.171875,5640000\n1997-04-01,1.161458,1.229167,1.156250,1.229167,1.229167,6278400\n1997-04-02,1.223958,1.250000,1.187500,1.247396,1.247396,7403200\n1997-04-03,1.250000,1.281250,1.169271,1.218750,1.218750,9009600\n1997-04-04,1.213542,1.348958,1.213542,1.317708,1.317708,17539200\n1997-04-07,1.364583,1.427083,1.322917,1.401042,1.401042,23224000\n1997-04-08,1.401042,1.406250,1.333333,1.385417,1.385417,10574400\n1997-04-09,1.442708,1.500000,1.432292,1.434896,1.434896,25516800\n1997-04-10,1.453125,1.458333,1.307292,1.361979,1.361979,34768000\n1997-04-11,1.312500,1.437500,1.286458,1.429688,1.429688,21049600\n1997-04-14,1.411458,1.432292,1.348958,1.369792,1.369792,10651200\n1997-04-15,1.375000,1.421875,1.291667,1.304688,1.304688,14208000\n1997-04-16,1.291667,1.348958,1.270833,1.304688,1.304688,16086400\n1997-04-17,1.312500,1.401042,1.302083,1.351563,1.351563,10315200\n1997-04-18,1.380208,1.390625,1.281250,1.291667,1.291667,10238400\n1997-04-21,1.270833,1.291667,1.114583,1.177083,1.177083,12880000\n1997-04-22,1.170571,1.171875,1.031250,1.143229,1.143229,27371200\n1997-04-23,1.156250,1.307292,1.151042,1.302083,1.302083,13531200\n1997-04-24,1.302083,1.307292,1.239583,1.270833,1.270833,17889600\n1997-04-25,1.276042,1.276042,1.260417,1.260417,1.260417,6452800\n1997-04-28,1.260417,1.369792,1.250000,1.307292,1.307292,12057600\n1997-04-29,1.317708,1.333333,1.281250,1.322917,1.322917,20836800\n1997-04-30,1.328125,1.442708,1.307292,1.421875,1.421875,23041600\n1997-05-01,1.437500,1.437500,1.359375,1.416667,1.416667,9956800\n1997-05-02,1.406250,1.479167,1.406250,1.458333,1.458333,13300800\n1997-05-05,1.479167,1.541667,1.458333,1.500000,1.500000,16374400\n1997-05-06,1.473958,1.479167,1.333333,1.372396,1.372396,19278400\n1997-05-07,1.359375,1.447917,1.354167,1.395833,1.395833,16603200\n1997-05-08,1.411458,1.479167,1.406250,1.421875,1.421875,7969600\n1997-05-09,1.432292,1.453125,1.403646,1.406250,1.406250,9508800\n1997-05-12,1.416667,1.416667,1.333333,1.364583,1.364583,9524800\n1997-05-13,1.364583,1.364583,1.244792,1.265625,1.265625,25048000\n1997-05-14,1.270833,1.322917,1.250000,1.260417,1.260417,14406400\n1997-05-15,1.260417,1.296875,1.255208,1.296875,1.296875,11044800\n1997-05-16,1.276042,1.348958,1.265625,1.328125,1.328125,12323200\n1997-05-19,1.322917,1.346354,1.307292,1.343750,1.343750,6510400\n1997-05-20,1.338542,1.354167,1.322917,1.351563,1.351563,6846400\n1997-05-21,1.348958,1.421875,1.338542,1.380208,1.380208,14593600\n1997-05-22,1.385417,1.385417,1.286458,1.304688,1.304688,5865600\n1997-05-23,1.302083,1.333333,1.296875,1.309896,1.309896,2622400\n1997-05-27,1.307292,1.348958,1.291667,1.320313,1.320313,2836800\n1997-05-28,1.317708,1.390625,1.302083,1.333333,1.333333,5318400\n1997-05-29,1.328125,1.354167,1.302083,1.328125,1.328125,5289600\n1997-05-30,1.312500,1.395833,1.286458,1.343750,1.343750,9692800\n1997-06-02,1.364583,1.395833,1.354167,1.380208,1.380208,3259200\n1997-06-03,1.380208,1.385417,1.330729,1.354167,1.354167,2300800\n1997-06-04,1.364583,1.375000,1.296875,1.312500,1.312500,2668800\n1997-06-05,1.338542,1.359375,1.333333,1.351563,1.351563,2003200\n1997-06-06,1.333333,1.375000,1.312500,1.333333,1.333333,6145600\n1997-06-09,1.333333,1.416667,1.333333,1.356771,1.356771,6096000\n1997-06-10,1.354167,1.380208,1.333333,1.348958,1.348958,5601600\n1997-06-11,1.348958,1.354167,1.286458,1.291667,1.291667,17387200\n1997-06-12,1.302083,1.338542,1.294271,1.333333,1.333333,5771200\n1997-06-13,1.333333,1.375000,1.333333,1.343750,1.343750,3307200\n1997-06-16,1.354167,1.468750,1.348958,1.445313,1.445313,15921600\n1997-06-17,1.447917,1.463542,1.411458,1.458333,1.458333,5377600\n1997-06-18,1.447917,1.473958,1.406250,1.421875,1.421875,8027200\n1997-06-19,1.437500,1.468750,1.406250,1.447917,1.447917,5457600\n1997-06-20,1.458333,1.640625,1.447917,1.635417,1.635417,22753600\n1997-06-23,1.588542,1.609375,1.494792,1.541667,1.541667,17841600\n1997-06-24,1.552083,1.578125,1.510417,1.549479,1.549479,6438400\n1997-06-25,1.565104,1.604167,1.541667,1.552083,1.552083,6720000\n1997-06-26,1.526042,1.531250,1.489583,1.510417,1.510417,5118400\n1997-06-27,1.505208,1.536458,1.427083,1.437500,1.437500,8419200\n1997-06-30,1.432292,1.479167,1.351563,1.468750,1.468750,14171200\n1997-07-01,1.458333,1.468750,1.406250,1.419271,1.419271,4000000\n1997-07-02,1.421875,1.437500,1.395833,1.406250,1.406250,5891200\n1997-07-03,1.432292,1.437500,1.395833,1.395833,1.395833,4416000\n1997-07-07,1.416667,1.572917,1.411458,1.572917,1.572917,14356800\n1997-07-08,1.572917,1.666667,1.567708,1.656250,1.656250,17337600\n1997-07-09,1.697917,1.880208,1.697917,1.833333,1.833333,37545600\n1997-07-10,1.890625,1.921875,1.739583,1.791667,1.791667,44035200\n1997-07-11,1.791667,1.880208,1.760417,1.833333,1.833333,15331200\n1997-07-14,1.833333,2.020833,1.828125,2.020833,2.020833,24980800\n1997-07-15,2.010417,2.114583,1.989583,2.104167,2.104167,33832000\n1997-07-16,2.135417,2.135417,2.041667,2.046875,2.046875,11449600\n1997-07-17,2.046875,2.046875,1.937500,1.953125,1.953125,12688000\n1997-07-18,1.932292,2.015625,1.869792,1.953125,1.953125,12059200\n1997-07-21,1.979167,2.083333,1.958333,2.067708,2.067708,11200000\n1997-07-22,2.072917,2.130208,2.010417,2.101563,2.101563,11822400\n1997-07-23,2.114583,2.114583,2.046875,2.046875,2.046875,7364800\n1997-07-24,2.041667,2.062500,1.947917,1.979167,1.979167,15115200\n1997-07-25,1.989583,2.005208,1.924479,1.994792,1.994792,9232000\n1997-07-28,2.010417,2.041667,1.979167,1.981771,1.981771,3806400\n1997-07-29,1.984375,2.010417,1.958333,2.010417,2.010417,4523200\n1997-07-30,2.072917,2.291667,2.067708,2.276042,2.276042,47521600\n1997-07-31,2.291667,2.354167,2.182292,2.354167,2.354167,33768000\n1997-08-01,2.333333,2.333333,2.223958,2.302083,2.302083,19910400\n1997-08-04,2.281250,2.281250,2.213542,2.223958,2.223958,12841600\n1997-08-05,2.239583,2.312500,2.218750,2.265625,2.265625,11304000\n1997-08-06,2.276042,2.333333,2.250000,2.291667,2.291667,7033600\n1997-08-07,2.312500,2.338542,2.239583,2.242188,2.242188,8430400\n1997-08-08,2.229167,2.276042,2.135417,2.250000,2.250000,13401600\n1997-08-11,2.250000,2.250000,2.156250,2.218750,2.218750,18528000\n1997-08-12,2.229167,2.260417,2.109375,2.122396,2.122396,10715200\n1997-08-13,2.125000,2.187500,2.067708,2.098958,2.098958,18326400\n1997-08-14,2.098958,2.125000,2.057292,2.065104,2.065104,5505600\n1997-08-15,2.062500,2.072917,2.020833,2.020833,2.020833,9004800\n1997-08-18,2.026042,2.187500,2.010417,2.182292,2.182292,18100800\n1997-08-19,2.192708,2.333333,2.187500,2.302083,2.302083,20222400\n1997-08-20,2.312500,2.406250,2.260417,2.390625,2.390625,21724800\n1997-08-21,2.395833,2.406250,2.302083,2.322917,2.322917,10432000\n1997-08-22,2.229167,2.338542,2.213542,2.320313,2.320313,12489600\n1997-08-25,2.333333,2.385417,2.328125,2.364583,2.364583,10302400\n1997-08-26,2.354167,2.364583,2.312500,2.328125,2.328125,6016000\n1997-08-27,2.328125,2.348958,2.281250,2.325521,2.325521,11371200\n1997-08-28,2.307292,2.403646,2.229167,2.338542,2.338542,24696000\n1997-08-29,2.354167,2.494792,2.343750,2.479167,2.479167,13696000\n1997-09-02,2.515625,2.546875,2.445313,2.492188,2.492188,10619200\n1997-09-03,2.523438,2.617188,2.492188,2.539063,2.539063,11555200\n1997-09-04,2.578125,2.648438,2.539063,2.609375,2.609375,9294400\n1997-09-05,2.640625,2.859375,2.625000,2.835938,2.835938,16643200\n1997-09-08,2.921875,3.070313,2.921875,2.949219,2.949219,21164800\n1997-09-09,3.007813,3.148438,3.000000,3.148438,3.148438,17556800\n1997-09-10,3.230469,3.375000,3.148438,3.332031,3.332031,23131200\n1997-09-11,3.312500,3.546875,3.281250,3.460938,3.460938,33902400\n1997-09-12,3.539063,3.625000,3.296875,3.371094,3.371094,22862400\n1997-09-15,3.312500,3.359375,3.000000,3.011719,3.011719,31624000\n1997-09-16,3.015625,3.195313,2.828125,3.195313,3.195313,37563200\n1997-09-17,3.218750,3.242188,2.960938,3.054688,3.054688,20712000\n1997-09-18,3.070313,3.140625,3.023438,3.109375,3.109375,12360000\n1997-09-19,3.093750,3.289063,3.078125,3.210938,3.210938,24308800\n1997-09-22,3.257813,3.460938,3.250000,3.351563,3.351563,17758400\n1997-09-23,3.382813,3.437500,3.132813,3.167969,3.167969,14896000\n1997-09-24,3.195313,3.320313,3.179688,3.218750,3.218750,12670400\n1997-09-25,3.234375,3.250000,3.046875,3.128906,3.128906,14795200\n1997-09-26,3.156250,3.234375,3.125000,3.140625,3.140625,10222400\n1997-09-29,3.156250,3.187500,3.085938,3.167969,3.167969,6649600\n1997-09-30,3.164063,3.164063,3.109375,3.132813,3.132813,3744000\n1997-10-01,3.140625,3.226563,3.132813,3.195313,3.195313,14475200\n1997-10-02,3.195313,3.437500,3.132813,3.437500,3.437500,22676800\n1997-10-03,3.437500,3.515625,3.359375,3.453125,3.453125,19518400\n1997-10-06,3.453125,3.664063,3.453125,3.640625,3.640625,15339200\n1997-10-07,3.609375,3.632813,3.445313,3.484375,3.484375,15825600\n1997-10-08,3.578125,3.625000,3.500000,3.546875,3.546875,32020800\n1997-10-09,3.468750,3.523438,3.421875,3.468750,3.468750,33960000\n1997-10-10,3.375000,3.468750,3.296875,3.300781,3.300781,18844800\n1997-10-13,3.320313,3.328125,3.140625,3.195313,3.195313,18051200\n1997-10-14,3.226563,3.289063,3.093750,3.187500,3.187500,14172800\n1997-10-15,3.171875,3.234375,3.140625,3.218750,3.218750,11564800\n1997-10-16,3.234375,3.320313,3.015625,3.039063,3.039063,21169600\n1997-10-17,3.015625,3.062500,2.843750,3.031250,3.031250,24849600\n1997-10-20,3.046875,3.078125,2.929688,3.054688,3.054688,20217600\n1997-10-21,3.109375,3.210938,3.101563,3.195313,3.195313,13385600\n1997-10-22,3.273438,3.335938,3.164063,3.308594,3.308594,14001600\n1997-10-23,3.171875,3.234375,3.078125,3.160156,3.160156,15209600\n1997-10-24,3.234375,3.234375,2.906250,2.972656,2.972656,15764800\n1997-10-27,2.937500,2.937500,2.375000,2.375000,2.375000,35051200\n1997-10-28,2.132813,2.921875,2.132813,2.695313,2.695313,51822400\n1997-10-29,2.781250,2.890625,2.523438,2.578125,2.578125,30163200\n1997-10-30,2.460938,2.703125,2.453125,2.605469,2.605469,17641600\n1997-10-31,2.695313,2.765625,2.656250,2.740231,2.740231,14144000\n1997-11-03,2.812500,2.906250,2.796875,2.880856,2.880856,13121600\n1997-11-04,2.851563,3.210938,2.781250,3.187500,3.187500,25473600\n1997-11-05,3.179688,3.406250,3.179688,3.351563,3.351563,39339200\n1997-11-06,3.312500,3.484375,3.265625,3.296875,3.296875,29057600\n1997-11-07,3.062500,3.234375,3.046875,3.093750,3.093750,23028800\n1997-11-10,3.101563,3.187500,3.000000,3.039063,3.039063,13699200\n1997-11-11,3.070313,3.093750,2.843750,2.875000,2.875000,20819200\n1997-11-12,2.796875,2.960938,2.679688,2.718750,2.718750,25264000\n1997-11-13,2.820313,2.906250,2.625000,2.855469,2.855469,29244800\n1997-11-14,2.875000,3.070313,2.875000,2.992188,2.992188,24700800\n1997-11-17,3.117188,3.296875,3.101563,3.250000,3.250000,25088000\n1997-11-18,3.226563,3.390625,3.210938,3.234375,3.234375,22524800\n1997-11-19,3.179688,3.226563,3.097656,3.164063,3.164063,13123200\n1997-11-20,3.203125,3.382813,3.179688,3.351563,3.351563,24377600\n1997-11-21,3.382813,3.406250,3.226563,3.304688,3.304688,12600000\n1997-11-24,3.281250,3.281250,3.007813,3.031250,3.031250,20104000\n1997-11-25,3.140625,3.234375,3.000000,3.175781,3.175781,29675200\n1997-11-26,3.234375,3.265625,3.140625,3.179688,3.179688,8777600\n1997-11-28,3.195313,3.218750,3.171875,3.195313,3.195313,2153600\n1997-12-01,3.218750,3.398438,3.203125,3.375000,3.375000,16558400\n1997-12-02,3.359375,3.429688,3.250000,3.312500,3.312500,15512000\n1997-12-03,3.281250,3.390625,3.242188,3.367188,3.367188,9440000\n1997-12-04,3.398438,3.437500,3.335938,3.363281,3.363281,10012800\n1997-12-05,3.347656,3.523438,3.289063,3.515625,3.515625,25928000\n1997-12-08,3.531250,3.734375,3.476563,3.726563,3.726563,30825600\n1997-12-09,3.679688,3.812500,3.625000,3.707031,3.707031,27473600\n1997-12-10,3.656250,3.710938,3.562500,3.679688,3.679688,14763200\n1997-12-11,3.562500,3.679688,3.523438,3.664063,3.664063,17451200\n1997-12-12,3.671875,3.750000,3.562500,3.718750,3.718750,14584000\n1997-12-15,3.750000,3.765625,3.531250,3.625000,3.625000,14430400\n1997-12-16,3.617188,3.781250,3.570313,3.769531,3.769531,13553600\n1997-12-17,3.781250,3.843750,3.718750,3.722656,3.722656,10875200\n1997-12-18,3.718750,3.718750,3.578125,3.632813,3.632813,12747200\n1997-12-19,3.593750,3.937500,3.515625,3.867188,3.867188,29721600\n1997-12-22,3.867188,4.085938,3.867188,4.027344,4.027344,23824000\n1997-12-23,4.000000,4.242188,3.976563,4.070313,4.070313,22833600\n1997-12-24,4.074219,4.125000,4.031250,4.031250,4.031250,6185600\n1997-12-26,4.019531,4.148438,4.015625,4.132813,4.132813,9587200\n1997-12-29,4.187500,4.312500,4.148438,4.308594,4.308594,15100800\n1997-12-30,4.304688,4.437500,4.250000,4.437500,4.437500,16508800\n1997-12-31,4.414063,4.429688,4.320313,4.328125,4.328125,15467200\n1998-01-02,4.328125,4.343750,4.062500,4.140625,4.140625,17828800\n1998-01-05,4.023438,4.085938,3.914063,3.933594,3.933594,26601600\n1998-01-06,3.859375,4.070313,3.828125,4.000000,4.000000,28688000\n1998-01-07,3.921875,4.054688,3.921875,3.988281,3.988281,15758400\n1998-01-08,4.000000,4.123044,3.921875,4.015625,4.015625,21748800\n1998-01-09,4.031250,4.078125,3.796875,3.867188,3.867188,30296000\n1998-01-12,3.750000,4.007813,3.687500,3.906250,3.906250,38262400\n1998-01-13,4.046875,4.265625,4.035156,4.111325,4.111325,52755200\n1998-01-14,4.171875,4.242188,4.125000,4.187500,4.187500,26678400\n1998-01-15,4.078125,4.171875,4.000000,4.083981,4.083981,27916800\n1998-01-16,4.125000,4.218750,4.062500,4.078125,4.078125,18288000\n1998-01-20,4.078125,4.078125,3.937500,4.031250,4.031250,35096000\n1998-01-21,4.007813,4.031250,3.929688,3.992188,3.992188,18336000\n1998-01-22,3.960938,4.000000,3.890625,3.894531,3.894531,11137600\n1998-01-23,3.921875,3.933594,3.820313,3.859375,3.859375,10700800\n1998-01-26,3.898438,3.906250,3.718750,3.742188,3.742188,10534400\n1998-01-27,3.765625,3.828125,3.750000,3.753906,3.753906,15113600\n1998-01-28,3.789063,3.789063,3.613281,3.628906,3.628906,29641600\n1998-01-29,3.625000,3.890625,3.601563,3.867188,3.867188,33180800\n1998-01-30,3.937500,4.031250,3.828125,3.960938,3.960938,32681600\n1998-02-02,4.015625,4.132813,3.992188,4.125000,4.125000,24558400\n1998-02-03,4.109375,4.132813,3.992188,4.052731,4.052731,33953600\n1998-02-04,4.039063,4.039063,3.949219,3.980469,3.980469,13721600\n1998-02-05,4.023438,4.054688,3.851563,3.890625,3.890625,18446400\n1998-02-06,3.882813,4.039063,3.851563,4.015625,4.015625,14387200\n1998-02-09,4.046875,4.078125,3.937500,3.993162,3.993162,16547200\n1998-02-10,4.000000,4.093750,3.937500,4.039063,4.039063,20785600\n1998-02-11,4.039063,4.109375,4.000000,4.068356,4.068356,11950400\n1998-02-12,4.015625,4.078125,3.984375,4.070313,4.070313,9059200\n1998-02-13,4.046875,4.171875,4.023438,4.046875,4.046875,13256000\n1998-02-17,4.031250,4.062500,3.968750,4.015625,4.015625,11427200\n1998-02-18,4.015625,4.046875,3.914063,3.968750,3.968750,11323200\n1998-02-19,3.968750,4.101563,3.953125,4.001950,4.001950,13486400\n1998-02-20,4.031250,4.046875,3.851563,4.007813,4.007813,12539200\n1998-02-23,4.023438,4.039063,3.933594,3.955075,3.955075,11187200\n1998-02-24,3.992188,3.992188,3.820313,3.845700,3.845700,14260800\n1998-02-25,3.867188,3.890625,3.804688,3.857419,3.857419,20102400\n1998-02-26,3.875000,4.281250,3.859375,4.257813,4.257813,39760000\n1998-02-27,4.265625,4.640625,4.234375,4.574219,4.574219,99968000\n1998-03-02,4.671875,4.683594,4.484375,4.574219,4.574219,32520000\n1998-03-03,4.500000,4.625000,4.421875,4.558594,4.558594,22182400\n1998-03-04,4.484375,4.531250,4.421875,4.476563,4.476563,22900800\n1998-03-05,4.343750,4.726563,4.296875,4.707031,4.707031,53112000\n1998-03-06,4.796875,5.109375,4.734375,5.035156,5.035156,52110400\n1998-03-09,5.109375,5.531250,5.101563,5.488281,5.488281,66227200\n1998-03-10,5.656250,5.773438,5.269531,5.468750,5.468750,105219200\n1998-03-11,5.335938,5.421875,5.187500,5.265625,5.265625,66195200\n1998-03-12,5.242188,5.312500,5.078125,5.125000,5.125000,69780800\n1998-03-13,5.140625,5.312500,5.093750,5.210938,5.210938,31441600\n1998-03-16,5.343750,5.406250,5.281250,5.312500,5.312500,24947200\n1998-03-17,5.320313,5.328125,5.164063,5.240231,5.240231,14350400\n1998-03-18,5.156250,5.429688,5.101563,5.392575,5.392575,41563200\n1998-03-19,5.359375,5.464844,5.242188,5.242188,5.242188,33745600\n1998-03-20,5.273438,5.308594,5.171875,5.197262,5.197262,18041600\n1998-03-23,5.156250,5.238281,5.148438,5.187500,5.187500,10816000\n1998-03-24,5.171875,5.437500,5.171875,5.425781,5.425781,28342400\n1998-03-25,5.507813,5.621094,5.460938,5.515625,5.515625,38163200\n1998-03-26,5.507813,5.656250,5.458981,5.558594,5.558594,27820800\n1998-03-27,5.636719,5.761719,5.546875,5.664063,5.664063,28928000\n1998-03-30,5.726563,5.890625,5.695313,5.816406,5.816406,30766400\n1998-03-31,5.875000,5.882813,5.734375,5.777344,5.777344,19136000\n1998-04-01,5.777344,6.113281,5.679688,6.113281,6.113281,39004800\n1998-04-02,6.187500,6.535156,6.156250,6.492188,6.492188,64988800\n1998-04-03,6.566406,6.609375,6.312500,6.402344,6.402344,58545600\n1998-04-06,6.484375,6.484375,6.156250,6.191406,6.191406,47131200\n1998-04-07,6.156250,6.156250,5.734375,5.828125,5.828125,81860800\n1998-04-08,5.875000,6.171875,5.867188,6.078125,6.078125,93374400\n1998-04-09,6.734375,7.171875,6.625000,7.156250,7.156250,176787200\n1998-04-13,7.031250,7.289063,6.800781,7.062500,7.062500,114054400\n1998-04-14,7.046875,7.390625,6.976563,7.179688,7.179688,77942400\n1998-04-15,7.296875,7.414063,7.238281,7.386719,7.386719,40574400\n1998-04-16,7.437500,8.101563,7.312500,8.024412,8.024412,146963200\n1998-04-17,7.726563,7.843750,7.507813,7.593750,7.593750,93952000\n1998-04-20,7.640625,8.054688,7.539063,7.859375,7.859375,67028800\n1998-04-21,7.921875,8.062500,7.625000,7.705075,7.705075,51115200\n1998-04-22,7.765625,7.789063,7.320313,7.398438,7.398438,57531200\n1998-04-23,7.226563,7.250000,6.941406,7.011719,7.011719,82996800\n1998-04-24,7.117188,7.359375,6.945313,7.171875,7.171875,78507200\n1998-04-27,6.976563,7.046875,6.832031,7.007813,7.007813,67828800\n1998-04-28,7.324219,7.460938,7.203125,7.406250,7.406250,75300800\n1998-04-29,7.375000,7.468750,7.285156,7.390625,7.390625,38995200\n1998-04-30,7.515625,7.601563,7.375000,7.433594,7.433594,35766400\n1998-05-01,7.460938,7.460938,7.296875,7.414063,7.414063,20518400\n1998-05-04,7.503906,7.625000,7.453125,7.554688,7.554688,15729600\n1998-05-05,7.398438,7.523438,7.281250,7.296875,7.296875,23513600\n1998-05-06,7.320313,7.328125,7.140625,7.191406,7.191406,22596800\n1998-05-07,7.187500,7.398438,7.156250,7.199219,7.199219,26564800\n1998-05-08,7.171875,7.359375,7.105469,7.359375,7.359375,26433600\n1998-05-11,7.414063,7.429688,7.125000,7.136719,7.136719,27179200\n1998-05-12,7.093750,7.281250,7.035156,7.230469,7.230469,33731200\n1998-05-13,7.250000,7.753906,7.203125,7.750000,7.750000,60171200\n1998-05-14,7.691406,7.898438,7.515625,7.515625,7.515625,57985600\n1998-05-15,7.625000,7.687500,7.359375,7.378906,7.378906,25552000\n1998-05-18,7.429688,7.464844,7.136719,7.285156,7.285156,33620800\n1998-05-19,7.359375,7.484375,7.296875,7.384762,7.384762,23678400\n1998-05-20,7.460938,7.460938,7.234375,7.304688,7.304688,15969600\n1998-05-21,7.406250,7.406250,7.234375,7.312500,7.312500,18348800\n1998-05-22,7.273438,7.296875,7.062500,7.148438,7.148438,15713600\n1998-05-26,7.195313,7.218750,6.757813,6.765625,6.765625,46486400\n1998-05-27,6.656250,7.203125,6.648438,7.195313,7.195313,103491200\n1998-05-28,7.132813,7.187500,6.867188,6.875000,6.875000,47590400\n1998-05-29,6.906250,7.000000,6.792969,6.843750,6.843750,36216000\n1998-06-01,6.765625,6.828125,6.343750,6.523438,6.523438,72801600\n1998-06-02,6.562500,6.609375,6.195313,6.550781,6.550781,114208000\n1998-06-03,6.609375,6.609375,6.351563,6.375000,6.375000,71544000\n1998-06-04,6.375000,6.507813,6.281250,6.414063,6.414063,49841600\n1998-06-05,6.406250,6.625000,6.343750,6.562500,6.562500,37105600\n1998-06-08,6.562500,6.843750,6.554688,6.835938,6.835938,33300800\n1998-06-09,6.941406,7.406250,6.859375,7.367188,7.367188,95710400\n1998-06-10,7.312500,7.453125,7.148438,7.152344,7.152344,69064000\n1998-06-11,7.195313,7.296875,7.089844,7.203125,7.203125,51329600\n1998-06-12,7.250000,7.250000,6.937500,7.113281,7.113281,48417600\n1998-06-15,6.992188,7.273438,6.968750,7.203125,7.203125,53963200\n1998-06-16,7.273438,7.648438,7.156250,7.621094,7.621094,63780800\n1998-06-17,7.789063,8.226563,7.765625,8.164063,8.164063,130657600\n1998-06-18,8.296875,8.523438,7.976563,7.984375,7.984375,81768000\n1998-06-19,7.945313,8.156250,7.796875,8.078125,8.078125,59110400\n1998-06-22,8.062500,8.773438,8.031250,8.722656,8.722656,81326400\n1998-06-23,8.703125,9.398438,8.625000,9.253906,9.253906,122494400\n1998-06-24,9.308594,9.500000,8.937500,9.296875,9.296875,96169600\n1998-06-25,9.281250,9.765625,9.187500,9.515625,9.515625,99208000\n1998-06-26,9.421875,9.601563,9.156250,9.292969,9.292969,67873600\n1998-06-29,9.343750,9.671875,9.335938,9.652344,9.652344,51121600\n1998-06-30,9.671875,9.984375,9.601563,9.843750,9.843750,63260800\n1998-07-01,10.007813,10.625000,10.000000,10.617188,10.617188,73984000\n1998-07-02,10.843750,11.218750,10.375000,10.804688,10.804688,119217600\n1998-07-06,11.179688,12.500000,11.058594,12.453125,12.453125,216720000\n1998-07-07,12.921875,12.968750,11.875000,11.937500,11.937500,198368000\n1998-07-08,11.562500,12.406250,10.937500,11.636719,11.636719,224849600\n1998-07-09,12.484375,12.750000,11.500000,11.500000,11.500000,207491200\n1998-07-10,11.335938,11.632813,11.101563,11.406250,11.406250,112896000\n1998-07-13,11.101563,11.789063,11.062500,11.773438,11.773438,85763200\n1998-07-14,11.796875,11.960938,11.500000,11.656250,11.656250,59248000\n1998-07-15,11.710938,11.710938,11.320313,11.359375,11.359375,36636800\n1998-07-16,11.398438,11.718750,11.226563,11.667969,11.667969,51748800\n1998-07-17,11.609375,11.835938,11.414063,11.609375,11.609375,46369600\n1998-07-20,11.656250,12.328125,11.546875,12.269531,12.269531,63902400\n1998-07-21,12.289063,12.964844,11.714844,11.812500,11.812500,115219200\n1998-07-22,11.875000,12.289063,11.781250,12.109375,12.109375,68036800\n1998-07-23,12.132813,12.421875,11.796875,11.835938,11.835938,43572800\n1998-07-24,11.968750,12.062500,11.101563,11.382813,11.382813,87747200\n1998-07-27,11.171875,11.843750,10.875000,11.824219,11.824219,83516800\n1998-07-28,11.781250,11.906250,11.390625,11.453125,11.453125,61753600\n1998-07-29,11.609375,11.664063,10.828125,10.847656,10.847656,66641600\n1998-07-30,11.085938,11.585938,10.656250,11.417969,11.417969,96512000\n1998-07-31,11.484375,11.562500,11.156250,11.371094,11.371094,63755200\n1998-08-03,11.250000,11.312500,10.765625,10.804688,10.804688,34780000\n1998-08-04,11.078125,11.218750,10.625000,10.640625,10.640625,42092800\n1998-08-05,10.734375,10.968750,9.875000,10.484375,10.484375,54120000\n1998-08-06,10.250000,11.046875,10.148438,10.921875,10.921875,36946400\n1998-08-07,11.078125,11.656250,10.914063,11.453125,11.453125,51663200\n1998-08-10,11.500000,11.750000,11.093750,11.750000,11.750000,34913600\n1998-08-11,11.210938,11.781250,11.046875,11.421875,11.421875,50840800\n1998-08-12,11.687500,12.039063,11.625000,11.921875,11.921875,42176000\n1998-08-13,11.890625,12.093750,11.578125,11.593750,11.593750,26801600\n1998-08-14,11.750000,11.796875,11.250000,11.468750,11.468750,25372000\n1998-08-17,11.359375,11.562500,11.250000,11.500000,11.500000,20256800\n1998-08-18,11.609375,12.250000,11.578125,12.156250,12.156250,42212800\n1998-08-19,12.359375,12.500000,11.859375,11.906250,11.906250,33248000\n1998-08-20,11.921875,12.234375,11.843750,12.187500,12.187500,23878400\n1998-08-21,12.015625,12.171875,11.656250,11.921875,11.921875,30939200\n1998-08-24,12.000000,12.250000,11.953125,12.210938,12.210938,21888000\n1998-08-25,12.367188,12.406250,11.968750,12.187500,12.187500,19356800\n1998-08-26,11.968750,12.117188,11.765625,12.109375,12.109375,22042400\n1998-08-27,11.812500,11.875000,11.343750,11.382813,11.382813,39107200\n1998-08-28,11.359375,11.546875,10.218750,10.382813,10.382813,62074400\n1998-08-31,10.375000,10.515625,8.312500,8.625000,8.625000,77024800\n1998-09-01,8.265625,9.562500,7.375000,9.031250,9.031250,96534400\n1998-09-02,9.625000,10.492188,9.328125,9.718750,9.718750,78278400\n1998-09-03,9.250000,9.734375,8.937500,9.398438,9.398438,63705600\n1998-09-04,9.617188,9.765625,9.062500,9.421875,9.421875,33694400\n1998-09-08,10.359375,10.625000,9.890625,10.578125,10.578125,54988000\n1998-09-09,10.453125,10.726563,9.968750,10.000000,10.000000,38174400\n1998-09-10,9.593750,10.062500,9.125000,9.984375,9.984375,61207200\n1998-09-11,10.062500,10.234375,9.593750,9.984375,9.984375,45369600\n1998-09-14,10.281250,10.609375,10.203125,10.484375,10.484375,35400800\n1998-09-15,10.328125,10.562500,10.250000,10.546875,10.546875,33928800\n1998-09-16,10.726563,11.718750,10.625000,11.671875,11.671875,97708000\n1998-09-17,11.171875,11.718750,11.164063,11.257813,11.257813,103429600\n1998-09-18,11.250000,11.546875,11.234375,11.304688,11.304688,40134400\n1998-09-21,10.906250,12.125000,10.851563,12.039063,12.039063,61918400\n1998-09-22,12.281250,13.125000,12.250000,12.867188,12.867188,88165600\n1998-09-23,13.093750,14.750000,13.062500,14.734375,14.734375,121677600\n1998-09-24,14.843750,15.671875,14.093750,14.406250,14.406250,119551200\n1998-09-25,14.000000,15.156250,13.906250,15.125000,15.125000,80061600\n1998-09-28,15.750000,16.187500,15.226563,15.992188,15.992188,85004800\n1998-09-29,16.093750,16.828125,15.593750,16.437500,16.437500,87640800\n1998-09-30,16.121088,16.523438,15.593750,16.187500,16.187500,83716800\n1998-10-01,15.421875,15.796875,14.085938,14.117188,14.117188,122895200\n1998-10-02,14.445313,15.937500,14.218750,15.875000,15.875000,135588000\n1998-10-05,15.765625,16.195313,14.632813,15.726563,15.726563,130274400\n1998-10-06,16.390625,16.515625,15.218750,15.601563,15.601563,123448000\n1998-10-07,15.335938,15.375000,13.812500,14.296875,14.296875,137588800\n1998-10-08,13.015625,13.562500,12.187500,13.101563,13.101563,172985600\n1998-10-09,13.484375,13.750000,12.750000,13.203125,13.203125,74280000\n1998-10-12,13.812500,14.750000,13.585938,14.304688,14.304688,103243200\n1998-10-13,14.179688,14.296875,13.703125,13.742188,13.742188,51824000\n1998-10-14,13.562500,14.562500,13.562500,13.984375,13.984375,59580000\n1998-10-15,14.109375,15.015625,13.781250,14.921875,14.921875,71287200\n1998-10-16,15.015625,15.250000,14.390625,14.453125,14.453125,54677600\n1998-10-19,14.328125,14.906250,14.187500,14.687500,14.687500,42296000\n1998-10-20,15.031250,15.140625,14.421875,14.437500,14.437500,48166400\n1998-10-21,14.703125,14.984375,14.457025,14.968750,14.968750,35041600\n1998-10-22,14.867188,15.531250,14.656250,15.265625,15.265625,60401600\n1998-10-23,15.210938,15.500000,15.062500,15.265625,15.265625,28093600\n1998-10-26,15.406250,16.000000,15.406250,15.992188,15.992188,40869600\n1998-10-27,16.312500,16.515625,15.437500,15.468750,15.468750,47267200\n1998-10-28,15.453125,16.000000,15.125000,15.843750,15.843750,42363200\n1998-10-29,16.031250,16.406250,15.750000,16.398438,16.398438,41452000\n1998-10-30,16.234375,16.640625,16.156250,16.355463,16.355463,39603200\n1998-11-02,16.632813,18.218750,16.468750,18.179688,18.179688,82252800\n1998-11-03,18.093750,18.625000,17.632813,17.765625,17.765625,88573600\n1998-11-04,18.453125,18.937500,18.187500,18.921875,18.921875,75329600\n1998-11-05,18.726563,19.257813,18.726563,18.960938,18.960938,82464800\n1998-11-06,18.992188,19.289063,18.875000,19.195313,19.195313,39160800\n1998-11-09,19.250000,20.671875,19.234375,20.593750,20.593750,73947200\n1998-11-10,21.062500,23.203125,21.046875,22.070313,22.070313,104089600\n1998-11-11,22.187500,22.734375,20.500000,20.625000,20.625000,96396800\n1998-11-12,20.437500,21.921875,20.406250,21.656250,21.656250,76820000\n1998-11-13,22.109375,22.210938,20.562500,21.000000,21.000000,59292800\n1998-11-16,21.718750,21.875000,20.968750,21.656250,21.656250,47338400\n1998-11-17,21.460938,22.687500,21.031250,22.093750,22.093750,65894400\n1998-11-18,22.421875,23.781250,22.304688,23.765625,23.765625,80068000\n1998-11-19,24.242188,24.796875,23.062500,23.234375,23.234375,83217600\n1998-11-20,24.125000,24.140625,22.687500,23.875000,23.875000,74551200\n1998-11-23,24.609375,27.750000,23.875000,27.679688,27.679688,92021600\n1998-11-24,27.000000,28.468750,25.375000,26.281250,26.281250,132245600\n1998-11-25,26.343750,27.000000,25.406250,26.234375,26.234375,56652000\n1998-11-27,26.601563,27.156250,26.468750,27.117188,27.117188,16614400\n1998-11-30,27.203125,27.203125,23.937500,24.000000,24.000000,56202400\n1998-12-01,22.984375,25.921875,22.750000,25.781250,25.781250,98687200\n1998-12-02,25.601563,25.796875,24.375000,24.632813,24.632813,63236800\n1998-12-03,24.718750,25.343750,22.828125,22.968750,22.968750,67581600\n1998-12-04,23.914063,24.109375,22.500000,23.718750,23.718750,73370400\n1998-12-07,24.062500,24.250000,23.328125,23.820313,23.820313,30444000\n1998-12-08,23.687500,25.000000,23.421875,24.812500,24.812500,50747200\n1998-12-09,25.000000,25.812500,24.257813,24.734375,24.734375,63276000\n1998-12-10,24.804688,25.250000,23.578125,24.093750,24.093750,47940800\n1998-12-11,23.890625,24.718750,23.843750,24.460938,24.460938,42621600\n1998-12-14,24.046875,24.609375,23.695313,23.906250,23.906250,40104000\n1998-12-15,24.312500,24.796875,24.187500,24.750000,24.750000,32498400\n1998-12-16,25.515625,26.312500,25.156250,25.640625,25.640625,55996800\n1998-12-17,25.015625,26.687500,24.937500,25.687500,25.687500,54028800\n1998-12-18,26.453125,26.890625,25.906250,26.539063,26.539063,37685600\n1998-12-21,27.625000,31.359375,27.250000,30.937500,30.937500,68780000\n1998-12-22,31.562500,31.734375,29.125000,30.625000,30.625000,63622400\n1998-12-23,31.406250,31.671875,30.687500,31.250000,31.250000,29891200\n1998-12-24,30.765625,31.375000,30.500000,30.890625,30.890625,9348800\n1998-12-28,31.687500,35.750000,31.250000,34.437500,34.437500,60430400\n1998-12-29,34.421875,34.421875,32.921875,33.750000,33.750000,41398400\n1998-12-30,33.250000,33.921875,30.125000,30.578125,30.578125,59023200\n1998-12-31,30.234375,31.875000,29.000000,29.617188,29.617188,37516800\n1999-01-04,30.250000,31.500000,30.000000,31.000000,31.000000,33860000\n1999-01-05,30.320313,32.625000,29.960938,32.234375,32.234375,43924800\n1999-01-06,33.500000,37.375000,33.375000,36.375000,36.375000,71474400\n1999-01-07,35.500000,40.718750,35.375000,40.000000,40.000000,77141600\n1999-01-08,43.250000,44.671875,41.250000,42.953125,42.953125,61498400\n1999-01-11,45.992188,55.625000,45.437500,51.921875,51.921875,80186400\n1999-01-12,54.828125,55.375000,46.250000,50.250000,50.250000,104092000\n1999-01-13,49.890625,50.750000,41.500000,46.000000,46.000000,97093600\n1999-01-14,46.484375,48.250000,42.875000,42.992188,42.992188,56675200\n1999-01-15,43.117188,44.312500,38.000000,39.625000,39.625000,83922400\n1999-01-19,42.484375,43.125000,39.742188,40.375000,40.375000,34664800\n1999-01-20,40.804688,41.343750,35.625000,35.898438,35.898438,43305600\n1999-01-21,34.257813,35.000000,31.171875,33.125000,33.125000,89164000\n1999-01-22,31.625000,36.375000,31.625000,35.750000,35.750000,73045600\n1999-01-25,37.093750,39.125000,35.625000,39.000000,39.000000,49068800\n1999-01-26,39.937500,44.015625,39.875000,43.906250,43.906250,66213600\n1999-01-27,46.546875,47.648438,41.250000,41.984375,41.984375,54030400\n1999-01-28,43.609375,46.125000,41.875000,45.968750,45.968750,52440000\n1999-01-29,45.000000,45.625000,43.125000,44.281250,44.281250,33787200\n1999-02-01,44.625000,44.875000,41.625000,41.945313,41.945313,39826400\n1999-02-02,41.968750,42.250000,38.578125,40.367188,40.367188,49295200\n1999-02-03,40.390625,45.000000,40.390625,44.757813,44.757813,45029600\n1999-02-04,44.562500,44.875000,41.875000,42.125000,42.125000,48534400\n1999-02-05,43.015625,44.125000,41.875000,43.187500,43.187500,49096000\n1999-02-08,43.187500,43.375000,38.656250,39.656250,39.656250,38321600\n1999-02-09,39.343750,39.468750,34.750000,35.187500,35.187500,41688400\n1999-02-10,34.875000,37.156250,32.234375,35.593750,35.593750,47980400\n1999-02-11,37.250000,39.750000,36.375000,39.625000,39.625000,32700800\n1999-02-12,38.640625,38.750000,37.000000,37.750000,37.750000,24872000\n1999-02-16,38.125000,39.000000,32.984375,33.343750,33.343750,58302000\n1999-02-17,33.625000,34.812500,31.375000,32.406250,32.406250,38656400\n1999-02-18,33.500000,33.625000,31.000000,32.218750,32.218750,35252000\n1999-02-19,33.390625,34.359375,32.500000,33.828125,33.828125,33774000\n1999-02-22,34.250000,37.500000,32.968750,36.437500,36.437500,33567600\n1999-02-23,37.125000,39.312500,37.000000,38.218750,38.218750,45360800\n1999-02-24,39.125000,40.125000,37.375000,37.546875,37.546875,35772800\n1999-02-25,37.390625,38.875000,36.125000,38.843750,38.843750,32932400\n1999-02-26,38.875000,39.593750,37.500000,38.375000,38.375000,29360000\n1999-03-01,38.390625,41.250000,37.281250,40.031250,40.031250,39223200\n1999-03-02,40.343750,41.250000,38.218750,38.296875,38.296875,29651200\n1999-03-03,38.718750,39.343750,37.156250,38.359375,38.359375,25215200\n1999-03-04,39.187500,39.500000,36.531250,37.875000,37.875000,23268000\n1999-03-05,39.593750,40.500000,39.000000,39.953125,39.953125,32062800\n1999-03-08,40.589825,43.296875,40.000000,42.609375,42.609375,36341600\n1999-03-09,42.703125,43.250000,40.937500,41.828125,41.828125,25655600\n1999-03-10,43.250000,43.625000,42.250000,43.406250,43.406250,22300000\n1999-03-11,44.468750,45.843750,44.015625,44.750000,44.750000,34746000\n1999-03-12,44.687500,44.781250,42.750000,44.000000,44.000000,18828400\n1999-03-15,44.250000,44.921875,43.187500,44.859375,44.859375,13907200\n1999-03-16,45.078125,45.125000,43.687500,43.718750,43.718750,12136000\n1999-03-17,43.531250,43.562500,42.500000,43.031250,43.031250,11562800\n1999-03-18,42.515625,44.000000,42.468750,43.828125,43.828125,13022800\n1999-03-19,44.187500,44.562500,42.437500,42.500000,42.500000,13999600\n1999-03-22,42.718750,44.500000,41.156250,41.250000,41.250000,16258800\n1999-03-23,40.500000,41.000000,38.796875,38.875000,38.875000,20626000\n1999-03-24,38.093750,40.125000,36.781250,40.125000,40.125000,22805600\n1999-03-25,41.984375,44.812500,41.250000,44.750000,44.750000,32558000\n1999-03-26,43.593750,44.312500,42.500000,42.843750,42.843750,23164800\n1999-03-29,44.250000,44.687500,42.937500,44.000000,44.000000,15764000\n1999-03-30,43.843750,46.468750,43.031250,43.078125,43.078125,38020000\n1999-03-31,44.000000,45.375000,42.000000,42.093750,42.093750,32183600\n1999-04-01,44.750000,45.250000,42.000000,44.937500,44.937500,40504800\n1999-04-05,46.562500,55.250000,46.250000,54.781250,54.781250,82058000\n1999-04-06,55.000000,61.000000,52.500000,53.718750,53.718750,100101200\n1999-04-07,57.250000,57.750000,50.750000,52.109375,52.109375,69661600\n1999-04-08,54.250000,54.250000,49.234375,51.671875,51.671875,56466800\n1999-04-09,51.171875,52.750000,50.500000,51.750000,51.750000,24151600\n1999-04-12,48.281250,51.515625,48.218750,50.734375,50.734375,39976800\n1999-04-13,51.187500,54.093750,50.500000,50.750000,50.750000,29236400\n1999-04-14,51.062500,52.000000,47.375000,47.750000,47.750000,25956800\n1999-04-15,47.437500,50.015625,43.000000,48.656250,48.656250,45416800\n1999-04-16,48.875000,49.250000,46.265625,47.296875,47.296875,23426400\n1999-04-19,47.218750,47.750000,40.312500,40.921875,40.921875,42021200\n1999-04-20,40.312500,43.500000,38.750000,42.750000,42.750000,42084400\n1999-04-21,43.656250,45.000000,42.500000,43.718750,43.718750,24596400\n1999-04-22,45.671875,46.250000,43.859375,46.000000,46.000000,25307200\n1999-04-23,45.843750,48.031250,45.125000,46.921875,46.921875,19913600\n1999-04-26,47.281250,48.625000,46.812500,48.062500,48.062500,13915600\n1999-04-27,48.734375,49.390625,45.375000,46.125000,46.125000,20129200\n1999-04-28,45.687500,46.234375,42.750000,43.375000,43.375000,18786800\n1999-04-29,42.031250,43.875000,41.156250,43.750000,43.750000,25935200\n1999-04-30,45.015625,45.500000,42.000000,43.671875,43.671875,14938800\n1999-05-03,42.781250,43.312500,40.250000,40.640625,40.640625,20424000\n1999-05-04,40.562500,42.562500,39.500000,39.812500,39.812500,25120000\n1999-05-05,40.093750,40.531250,37.218750,40.328125,40.328125,39324000\n1999-05-06,40.500000,40.625000,37.500000,37.968750,37.968750,23365200\n1999-05-07,37.906250,39.375000,36.250000,36.859375,36.859375,27588800\n1999-05-10,37.062500,39.203125,36.875000,38.921875,38.921875,25932800\n1999-05-11,41.093750,43.828125,40.218750,43.500000,43.500000,42985600\n1999-05-12,42.718750,43.375000,41.218750,42.484375,42.484375,22728400\n1999-05-13,42.875000,43.375000,39.968750,40.093750,40.093750,18511600\n1999-05-14,38.609375,40.437500,38.250000,39.343750,39.343750,23758400\n1999-05-17,38.765625,40.687500,37.515625,40.453125,40.453125,26168000\n1999-05-18,39.843750,40.375000,38.828125,39.203125,39.203125,18851600\n1999-05-19,39.734375,40.281250,38.812500,39.562500,39.562500,16702000\n1999-05-20,39.593750,39.781250,37.750000,37.875000,37.875000,10570000\n1999-05-21,38.312500,38.328125,37.187500,37.828125,37.828125,14906400\n1999-05-24,37.343750,37.562500,33.968750,34.468750,34.468750,30008400\n1999-05-25,34.609375,35.281250,31.656250,31.734375,31.734375,37816800\n1999-05-26,32.500000,35.312500,30.125000,35.218750,35.218750,52978400\n1999-05-27,34.750000,35.406250,33.218750,33.343750,33.343750,30726800\n1999-05-28,33.625000,37.062500,32.875000,37.000000,37.000000,28661200\n1999-06-01,36.328125,37.500000,33.765625,34.546875,34.546875,31400400\n1999-06-02,34.062500,37.250000,32.531250,35.625000,35.625000,45042400\n1999-06-03,35.625000,36.125000,33.375000,33.843750,33.843750,30196000\n1999-06-04,34.031250,36.937500,33.500000,36.859375,36.859375,36142000\n1999-06-07,36.656250,39.437500,36.062500,37.968750,37.968750,36826000\n1999-06-08,38.093750,38.375000,35.632801,35.828125,35.828125,27203600\n1999-06-09,36.218750,37.296875,35.765625,36.593750,36.593750,23841200\n1999-06-10,35.921875,36.968750,35.187500,36.187500,36.187500,20716000\n1999-06-11,36.093750,36.625000,33.562500,33.812500,33.812500,25944000\n1999-06-14,33.671875,33.718750,29.500000,29.812500,29.812500,50811600\n1999-06-15,29.406250,32.406250,29.406250,31.312500,31.312500,49996000\n1999-06-16,33.312500,35.875000,31.296875,35.406250,35.406250,59128800\n1999-06-17,34.906250,37.484375,34.312500,35.562500,35.562500,48852400\n1999-06-18,35.343750,36.375000,35.125000,36.109375,36.109375,17448800\n1999-06-21,37.125000,40.125000,37.000000,39.718750,39.718750,50007600\n1999-06-22,39.343750,41.531250,37.625000,38.125000,38.125000,50848000\n1999-06-23,37.437500,39.125000,36.562500,38.875000,38.875000,42335200\n1999-06-24,38.750000,38.921875,36.750000,37.750000,37.750000,28072800\n1999-06-25,38.187500,38.468750,36.250000,36.718750,36.718750,21633200\n1999-06-28,36.890625,39.125000,36.890625,39.125000,39.125000,38500400\n1999-06-29,38.953125,41.078125,38.250000,40.000000,40.000000,45476000\n1999-06-30,39.968750,44.593750,39.453125,43.062500,43.062500,59339600\n1999-07-01,43.593750,44.968750,42.953125,44.312500,44.312500,46766800\n1999-07-02,44.250000,44.718750,43.125000,44.531250,44.531250,29583200\n1999-07-06,45.625000,47.312500,43.125000,43.781250,43.781250,62996800\n1999-07-07,43.062500,43.500000,41.250000,41.765625,41.765625,67031200\n1999-07-08,43.453125,43.812500,40.500000,41.109375,41.109375,67836800\n1999-07-09,41.359375,41.750000,39.750000,40.000000,40.000000,28462000\n1999-07-12,39.875000,39.937500,37.500000,37.562500,37.562500,47432400\n1999-07-13,36.968750,39.500000,36.250000,39.234375,39.234375,47375200\n1999-07-14,39.937500,40.375000,39.218750,39.859375,39.859375,36978400\n1999-07-15,40.125000,40.437500,38.250000,38.609375,38.609375,24413600\n1999-07-16,38.437500,38.875000,37.468750,37.562500,37.562500,20528000\n1999-07-19,37.718750,38.125000,36.875000,37.375000,37.375000,25438400\n1999-07-20,37.031250,37.625000,35.437500,35.531250,35.531250,24332400\n1999-07-21,35.718750,38.125000,35.562500,37.968750,37.968750,32751200\n1999-07-22,37.078125,37.875000,35.765625,36.281250,36.281250,39331200\n1999-07-23,36.640625,37.031250,35.890625,36.437500,36.437500,19178800\n1999-07-26,35.375000,35.968750,33.000000,33.578125,33.578125,41694400\n1999-07-27,34.531250,35.125000,32.765625,32.828125,32.828125,39426000\n1999-07-28,33.359375,35.804676,32.875000,35.750000,35.750000,46910800\n1999-07-29,34.781250,35.000000,33.500000,34.250000,34.250000,42611200\n1999-07-30,34.437500,35.125000,33.375000,34.109375,34.109375,25167200\n1999-08-02,33.765625,34.937500,33.000000,33.078125,33.078125,24568000\n1999-08-03,33.609375,33.609375,30.718750,31.343750,31.343750,60916800\n1999-08-04,31.250000,31.937500,29.937500,30.250000,30.250000,45760800\n1999-08-05,30.031250,32.406250,27.500000,32.093750,32.093750,93246000\n1999-08-06,32.781250,34.000000,31.437500,31.734375,31.734375,58423200\n1999-08-09,32.031250,32.218750,30.003901,30.296875,30.296875,30964400\n1999-08-10,30.187500,32.187500,29.000000,31.875000,31.875000,59756000\n1999-08-11,32.562500,32.906250,30.640625,32.015625,32.015625,47123600\n1999-08-12,32.000000,33.312500,31.640625,32.093750,32.093750,31806800\n1999-08-13,33.093750,33.500000,32.437500,33.203125,33.203125,24487600\n1999-08-16,33.000000,33.843750,32.687500,33.625000,33.625000,20766000\n1999-08-17,34.093750,34.875000,33.812500,34.718750,34.718750,29511600\n1999-08-18,35.812500,37.375000,35.750000,36.265625,36.265625,41488000\n1999-08-19,35.375000,35.875000,34.500000,34.796875,34.796875,31132400\n1999-08-20,34.906250,36.328125,34.625000,36.250000,36.250000,20089600\n1999-08-23,36.750000,38.375000,36.718750,38.031250,38.031250,42162000\n1999-08-24,37.484375,39.875000,37.468750,38.234375,38.234375,46909600\n1999-08-25,38.687500,39.765625,38.375000,39.640625,39.640625,25081200\n1999-08-26,39.375000,40.125000,38.093750,38.171875,38.171875,23626800\n1999-08-27,38.343750,38.375000,36.812500,37.250000,37.250000,20174400\n1999-08-30,37.125000,37.437500,35.640625,35.953125,35.953125,17183600\n1999-08-31,35.609375,37.062500,34.812500,36.875000,36.875000,42270800\n1999-09-01,37.187500,37.343750,35.578125,35.828125,35.828125,17971600\n1999-09-02,35.062500,36.128899,34.843750,35.390625,35.390625,21898800\n1999-09-03,36.906250,38.765625,36.718750,38.750000,38.750000,33040800\n1999-09-07,38.390625,39.250000,38.015625,38.750000,38.750000,24489600\n1999-09-08,38.203125,38.875000,37.953125,38.359375,38.359375,17771200\n1999-09-09,39.453125,40.843750,39.453125,40.671875,40.671875,41091200\n1999-09-10,41.406250,43.015625,41.250000,42.625000,42.625000,41157200\n1999-09-13,41.687500,41.937500,40.125000,40.187500,40.187500,28529600\n1999-09-14,39.937500,41.984375,39.921875,41.296875,41.296875,25134000\n1999-09-15,42.062500,42.437500,40.562500,40.593750,40.593750,26740800\n1999-09-16,40.531250,40.968750,39.328125,40.859375,40.859375,25113200\n1999-09-17,40.703125,41.656250,40.265625,40.781250,40.781250,19720000\n1999-09-20,41.125000,42.187500,41.000000,42.093750,42.093750,20120000\n1999-09-21,41.453125,43.750000,41.078125,42.390625,42.390625,43461600\n1999-09-22,42.375000,45.000000,42.156250,44.875000,44.875000,47312800\n1999-09-23,45.078125,46.609375,42.812500,43.437500,43.437500,66187200\n1999-09-24,43.328125,46.250000,43.328125,45.828125,45.828125,56219600\n1999-09-27,46.500000,46.843750,44.578125,45.343750,45.343750,38259200\n1999-09-28,45.312500,46.468750,43.812500,46.171875,46.171875,32783600\n1999-09-29,45.500000,46.750000,44.671875,44.828125,44.828125,26710400\n1999-09-30,44.906250,45.359375,43.687500,44.875000,44.875000,23179600\n1999-10-01,44.625000,45.000000,43.156250,43.859375,43.859375,24662400\n1999-10-04,44.296875,44.625000,41.656250,42.796875,42.796875,34314400\n1999-10-05,43.054676,44.453125,41.937500,43.328125,43.328125,52034800\n1999-10-06,44.000000,44.234375,42.890625,43.937500,43.937500,35948400\n1999-10-07,46.171875,48.265625,45.500000,47.562500,47.562500,99988000\n1999-10-08,47.000000,48.093750,46.265625,48.031250,48.031250,37374800\n1999-10-11,46.750000,47.000000,45.000000,45.343750,45.343750,70550400\n1999-10-12,45.468750,45.484375,43.000000,43.468750,43.468750,45610000\n1999-10-13,43.296875,44.250000,41.812500,41.890625,41.890625,45434800\n1999-10-14,42.484375,43.484375,41.843750,43.343750,43.343750,42182000\n1999-10-15,41.750000,43.187500,41.328125,42.390625,42.390625,44574800\n1999-10-18,42.421875,43.187500,41.125000,42.593750,42.593750,33723200\n1999-10-19,43.625000,44.187500,43.406250,43.718750,43.718750,35864000\n1999-10-20,44.187500,45.125000,43.343750,45.035149,45.035149,29566000\n1999-10-21,44.218750,45.718750,44.062500,45.484375,45.484375,38491600\n1999-10-22,45.562500,45.953125,44.312500,44.531250,44.531250,20509200\n1999-10-25,44.148426,45.062500,44.062500,44.687500,44.687500,15003200\n1999-10-26,44.812500,45.031250,43.500000,44.796875,44.796875,12201600\n1999-10-27,44.375000,44.406250,43.000000,43.546875,43.546875,14534800\n1999-10-28,43.515625,44.875000,43.187500,43.750000,43.750000,29123600\n1999-10-29,44.625000,45.000000,44.250000,44.765625,44.765625,29416400\n1999-11-01,44.875000,45.750000,44.500000,45.171875,45.171875,22136000\n1999-11-02,45.250000,45.375000,44.218750,44.500000,44.500000,16212000\n1999-11-03,44.859375,45.593750,44.656250,45.156250,45.156250,18202400\n1999-11-04,45.765625,46.375000,45.328125,45.531250,45.531250,22840400\n1999-11-05,46.531250,46.625000,45.750000,45.859375,45.859375,19503200\n1999-11-08,45.656250,49.906250,45.468750,49.296875,49.296875,39462400\n1999-11-09,49.812500,49.875000,48.062500,48.640625,48.640625,29762000\n1999-11-10,48.343750,50.593750,48.312500,49.421875,49.421875,26834000\n1999-11-11,49.625000,50.750000,48.062500,48.281250,48.281250,15894400\n1999-11-12,49.000000,49.718750,47.562500,49.234375,49.234375,17907200\n1999-11-15,49.000000,51.875000,48.843750,51.250000,51.250000,23674800\n1999-11-16,51.421875,53.234375,50.921875,53.140625,53.140625,23657200\n1999-11-17,52.765625,53.000000,51.218750,51.546875,51.546875,16416800\n1999-11-18,51.656250,53.875000,50.750000,53.468750,53.468750,16049600\n1999-11-19,53.484375,54.796875,52.500000,54.687500,54.687500,17340400\n1999-11-22,54.875000,57.546875,54.500000,56.703125,56.703125,22806400\n1999-11-23,56.500000,57.312500,54.500000,55.296875,55.296875,25955600\n1999-11-24,56.562500,58.250000,56.312500,57.750000,57.750000,22665200\n1999-11-26,58.250000,58.812500,56.343750,56.718750,56.718750,8035600\n1999-11-29,57.312500,58.625000,56.218750,56.531250,56.531250,18530400\n1999-11-30,55.859375,55.906250,52.625000,53.187500,53.187500,24242400\n1999-12-01,57.500000,58.500000,56.234375,57.218750,57.218750,52774000\n1999-12-02,57.593750,62.437500,56.937500,61.453125,61.453125,39232400\n1999-12-03,62.496075,64.687500,62.234375,63.250000,63.250000,40032400\n1999-12-06,63.250000,70.500000,62.671875,70.203125,70.203125,64394800\n1999-12-07,74.000000,88.250000,71.531250,87.000000,87.000000,265342000\n1999-12-08,81.000000,82.328125,77.750000,79.906250,79.906250,99627600\n1999-12-09,79.968750,85.312500,78.015625,85.000000,85.000000,45672000\n1999-12-10,86.687500,89.375000,83.562500,88.375000,88.375000,38182800\n1999-12-13,87.003899,89.062500,86.125000,87.765625,87.765625,22786400\n1999-12-14,87.062500,87.625000,83.250000,83.281250,83.281250,28800000\n1999-12-15,81.843750,83.687500,78.875000,81.875000,81.875000,33132400\n1999-12-16,83.125000,85.468750,83.093750,85.250000,85.250000,19881200\n1999-12-17,86.187500,88.031250,84.250000,87.500000,87.500000,20652000\n1999-12-20,87.000000,92.468750,86.500000,92.375000,92.375000,27528400\n1999-12-21,91.906250,102.078125,91.203125,101.390625,101.390625,40430400\n1999-12-22,101.437500,105.296875,98.687500,104.828125,104.828125,34557200\n1999-12-23,104.375000,106.562500,100.000000,100.656250,100.656250,18468400\n1999-12-27,98.437500,107.015625,94.468750,103.750000,103.750000,38158000\n1999-12-28,102.500000,105.000000,97.500000,97.562500,97.562500,20896400\n1999-12-29,99.109375,102.500000,98.500000,100.921875,100.921875,11763200\n1999-12-30,105.437500,112.000000,101.687500,104.015625,104.015625,24972400\n1999-12-31,105.109375,110.375000,102.515625,108.171875,108.171875,10116400\n2000-01-03,110.730453,119.250000,107.375000,118.750000,118.750000,38469600\n2000-01-04,116.125000,125.031250,110.500000,110.750000,110.750000,69868800\n2000-01-05,107.625000,107.781250,100.500000,102.625000,102.625000,83194800\n2000-01-06,101.562500,103.250000,90.250000,92.046875,92.046875,71301200\n2000-01-07,91.687500,102.000000,90.750000,101.812500,101.812500,48999600\n2000-01-10,108.125000,112.812500,105.000000,109.015625,109.015625,61022400\n2000-01-11,105.968750,106.562500,98.000000,99.343750,99.343750,75761600\n2000-01-12,97.468750,98.500000,88.750000,89.390625,89.390625,74100000\n2000-01-13,91.625000,94.343750,84.500000,86.718750,86.718750,67762800\n2000-01-14,88.750000,90.750000,85.500000,88.250000,88.250000,49232800\n2000-01-18,85.437500,87.500000,83.750000,85.296875,85.296875,30706000\n2000-01-19,84.000000,91.843750,84.000000,91.000000,91.000000,31800000\n2000-01-20,92.265625,92.984375,87.250000,87.984375,87.984375,31349600\n2000-01-21,88.750000,90.000000,87.000000,87.984375,87.984375,17615200\n2000-01-24,88.484375,90.125000,81.000000,81.078125,81.078125,25329200\n2000-01-25,81.750000,86.750000,79.062500,86.390625,86.390625,34588000\n2000-01-26,85.125000,85.871078,81.937500,82.140625,82.140625,19404000\n2000-01-27,83.109375,84.890625,81.281250,84.343750,84.343750,19222000\n2000-01-28,83.390625,85.750000,77.406250,78.375000,78.375000,36656000\n2000-01-31,77.500000,80.515625,75.750000,80.515625,80.515625,35825200\n2000-02-01,79.859375,82.437500,77.703125,79.343750,79.343750,24690800\n2000-02-02,80.371078,84.250000,79.250000,82.000000,82.000000,26813200\n2000-02-03,83.714828,90.250000,83.500000,90.062500,90.062500,39057600\n2000-02-04,91.125000,93.125000,86.750000,88.375000,88.375000,33816000\n2000-02-07,88.511703,90.750000,86.750000,88.500000,88.500000,20864400\n2000-02-08,89.750000,94.953125,89.625000,93.281250,93.281250,29828800\n2000-02-09,92.500000,94.312500,90.031250,90.578125,90.578125,23918800\n2000-02-10,90.625000,91.500000,88.484375,91.250000,91.250000,17980400\n2000-02-11,90.968750,91.250000,85.437500,85.671875,85.671875,19158400\n2000-02-14,86.750000,86.875000,81.875000,82.875000,82.875000,15165600\n2000-02-15,83.187500,86.625000,78.000000,85.000000,85.000000,21323200\n2000-02-16,84.125000,85.000000,80.000000,80.781250,80.781250,12820400\n2000-02-17,82.937500,84.000000,80.531250,81.593750,81.593750,12434600\n2000-02-18,80.625000,81.593750,77.687500,78.062500,78.062500,14643800\n2000-02-22,78.437500,78.500000,74.468750,76.906250,76.906250,17691600\n2000-02-23,76.812500,85.000000,76.500000,83.101547,83.101547,21189800\n2000-02-24,83.242149,85.812500,79.625000,84.031250,84.031250,16506000\n2000-02-25,82.812500,85.156250,80.156250,82.593750,82.593750,11418000\n2000-02-28,80.742149,82.375000,76.062500,80.968750,80.968750,18420200\n2000-02-29,82.218750,84.937500,77.750000,79.843750,79.843750,13684600\n2000-03-01,78.750000,81.500000,77.500000,79.250000,79.250000,11652200\n2000-03-02,77.507797,79.500000,76.000000,77.468750,77.468750,12227400\n2000-03-03,78.000000,81.500000,75.500000,79.000000,79.000000,14972000\n2000-03-06,81.750000,88.500000,81.367149,85.781250,85.781250,25566400\n2000-03-07,87.437500,90.187500,84.000000,85.687500,85.687500,17345600\n2000-03-08,87.312500,90.500000,82.500000,88.500000,88.500000,17234400\n2000-03-09,87.625000,92.500000,86.000000,91.625000,91.625000,17405000\n2000-03-10,90.585899,91.500000,87.812500,89.031250,89.031250,10406600\n2000-03-13,84.062500,90.250000,84.000000,87.906250,87.906250,12033000\n2000-03-14,89.250000,91.765602,83.968750,84.375000,84.375000,15768600\n2000-03-15,84.375000,84.500000,77.562500,79.250000,79.250000,17643400\n2000-03-16,79.593750,86.500000,78.031250,85.093750,85.093750,17049200\n2000-03-17,84.562500,88.468750,84.500000,85.562500,85.562500,11223000\n2000-03-20,86.093750,87.687500,82.625000,86.007797,86.007797,10404600\n2000-03-21,86.500000,96.625000,84.281250,95.875000,95.875000,25232800\n2000-03-22,94.718750,102.812500,94.250000,98.593750,98.593750,31384600\n2000-03-23,96.687500,101.500000,95.250000,95.500000,95.500000,14708600\n2000-03-24,96.750000,100.500000,94.000000,97.000000,97.000000,14707800\n2000-03-27,97.812500,102.593750,97.500000,100.375000,100.375000,17279800\n2000-03-28,98.500000,100.375000,96.000000,97.500000,97.500000,12830200\n2000-03-29,96.718750,98.250000,87.000000,88.531250,88.531250,21540000\n2000-03-30,86.250000,93.531250,80.125000,84.750000,84.750000,31733800\n2000-03-31,87.625000,88.625000,80.250000,85.687500,85.687500,21684000\n2000-04-03,84.375000,86.500000,79.687500,80.062500,80.062500,19322800\n2000-04-04,82.500000,85.500000,66.375000,83.687500,83.687500,42528400\n2000-04-05,81.000000,84.937500,79.250000,82.781250,82.781250,27371800\n2000-04-06,80.968750,85.625000,75.343750,77.000000,77.000000,55990400\n2000-04-07,78.375000,80.000000,75.375000,75.562500,75.562500,24960400\n2000-04-10,76.437500,76.500000,70.500000,70.968750,70.968750,24860000\n2000-04-11,69.781250,71.250000,66.250000,66.750000,66.750000,28853600\n2000-04-12,68.312500,71.468750,65.250000,68.093750,68.093750,29695800\n2000-04-13,68.484352,74.062500,67.156250,68.062500,68.062500,28022800\n2000-04-14,65.125000,67.625000,55.500000,58.000000,58.000000,38466800\n2000-04-17,55.625000,61.468750,54.000000,57.187500,57.187500,44468600\n2000-04-18,58.468750,63.750000,57.750000,63.343750,63.343750,24866000\n2000-04-19,64.687500,67.250000,61.000000,62.937500,62.937500,18326000\n2000-04-20,63.250000,64.562500,59.750000,61.562500,61.562500,13100600\n2000-04-24,57.500000,59.562500,53.500000,56.937500,56.937500,21974800\n2000-04-25,59.375000,63.500000,59.375000,62.250000,62.250000,25156400\n2000-04-26,62.250000,63.437500,59.125000,59.562500,59.562500,16669600\n2000-04-27,57.250000,63.375000,56.500000,62.156250,62.156250,19964200\n2000-04-28,63.375000,65.937500,62.750000,65.125000,65.125000,14908800\n2000-05-01,67.375000,68.000000,63.468750,65.437500,65.437500,14252400\n2000-05-02,64.562500,65.750000,60.812500,61.281250,61.281250,13658200\n2000-05-03,60.156250,62.375000,58.031250,61.031250,61.031250,14383000\n2000-05-04,62.250000,63.500000,60.531250,62.093750,62.093750,13000000\n2000-05-05,61.000000,64.000000,61.000000,62.843750,62.843750,8375000\n2000-05-08,61.468750,62.750000,60.250000,60.375000,60.375000,7958800\n2000-05-09,60.750000,61.125000,57.500000,58.718750,58.718750,13656200\n2000-05-10,57.656250,61.250000,56.250000,59.445301,59.445301,18772600\n2000-05-11,60.906250,63.000000,59.750000,62.656250,62.656250,14962800\n2000-05-12,63.250000,65.718750,62.531250,62.843750,62.843750,14853400\n2000-05-15,62.562500,65.000000,60.320301,65.000000,65.000000,11592000\n2000-05-16,66.687500,69.125000,65.000000,67.812500,67.812500,20359400\n2000-05-17,66.250000,69.875000,65.937500,68.906250,68.906250,20842400\n2000-05-18,68.750000,68.781250,65.000000,66.000000,66.000000,15213200\n2000-05-19,65.687500,67.343750,60.000000,60.156250,60.156250,28261600\n2000-05-22,60.062500,64.000000,56.625000,63.125000,63.125000,31994400\n2000-05-23,62.625000,63.687500,59.000000,59.156250,59.156250,17904400\n2000-05-24,58.750000,62.000000,56.000000,61.375000,61.375000,22729200\n2000-05-25,60.750000,61.812500,56.500000,57.500000,57.500000,18788800\n2000-05-26,57.250000,58.062500,55.500000,56.031250,56.031250,12662200\n2000-05-30,57.843750,60.000000,57.250000,58.500000,58.500000,17734000\n2000-05-31,56.875000,58.656250,56.406250,56.531250,56.531250,28353800\n2000-06-01,58.093750,61.000000,57.812500,60.031250,60.031250,16573800\n2000-06-02,64.929649,67.437500,63.656250,67.250000,67.250000,22187400\n2000-06-05,65.437500,70.968750,65.250000,68.656250,68.656250,17966800\n2000-06-06,67.875000,71.093750,67.500000,67.531250,67.531250,13933800\n2000-06-07,69.250000,73.000000,67.750000,72.250000,72.250000,20657200\n2000-06-08,73.437500,73.875000,70.250000,72.000000,72.000000,17499800\n2000-06-09,73.281250,73.382797,71.125000,71.593750,71.593750,8727400\n2000-06-12,72.500000,72.750000,68.375000,68.718750,68.718750,11717000\n2000-06-13,68.343750,69.781250,65.625000,69.750000,69.750000,14961200\n2000-06-14,70.031250,70.750000,68.562500,69.750000,69.750000,8810400\n2000-06-15,69.125000,70.875000,67.406250,69.843750,69.843750,10597600\n2000-06-16,69.937500,70.625000,67.750000,70.468750,70.468750,13738800\n2000-06-19,70.000000,70.312500,67.968750,69.531250,69.531250,14533600\n2000-06-20,70.187500,75.000000,70.156250,74.000000,74.000000,20704400\n2000-06-21,71.156250,72.781250,70.250000,71.406250,71.406250,15826200\n2000-06-22,70.937500,71.062500,65.812500,65.843750,65.843750,16783000\n2000-06-23,64.625000,65.000000,61.125000,62.656250,62.656250,18099800\n2000-06-26,62.250000,62.437500,58.562500,59.656250,59.656250,23421800\n2000-06-27,59.437500,64.437500,59.375000,62.968750,62.968750,20571400\n2000-06-28,62.656250,63.812500,61.562500,61.781250,61.781250,13065200\n2000-06-29,61.281250,63.000000,59.375000,59.656250,59.656250,12176400\n2000-06-30,59.406250,62.250000,59.406250,61.937500,61.937500,9068000\n2000-07-03,61.250000,64.125000,61.062500,63.937500,63.937500,4773200\n2000-07-05,63.000000,63.937500,60.125000,60.406250,60.406250,8643000\n2000-07-06,60.687500,62.093750,59.250000,61.187500,61.187500,11706400\n2000-07-07,58.531250,59.250000,57.500000,58.250000,58.250000,25520400\n2000-07-10,56.906250,57.000000,54.859348,55.000000,55.000000,23104200\n2000-07-11,52.468750,53.281250,49.937500,52.750000,52.750000,61754000\n2000-07-12,60.250000,63.687500,58.437500,62.468750,62.468750,74122200\n2000-07-13,62.781250,63.562500,60.757801,61.281250,61.281250,20465600\n2000-07-14,62.312500,64.125000,61.250000,64.000000,64.000000,18338800\n2000-07-17,63.375000,66.750000,62.531250,65.812500,65.812500,15484200\n2000-07-18,64.687500,66.687500,63.562500,64.968750,64.968750,15129400\n2000-07-19,65.031250,69.000000,65.000000,67.000000,67.000000,20859200\n2000-07-20,67.000000,71.343750,66.843750,69.906250,69.906250,19580200\n2000-07-21,69.062500,70.375000,68.781250,69.156250,69.156250,10598400\n2000-07-24,68.437500,69.375000,66.125000,66.281250,66.281250,12922000\n2000-07-25,67.031250,69.687500,65.187500,69.000000,69.000000,12744800\n2000-07-26,68.156250,69.625000,66.843750,67.968750,67.968750,11078600\n2000-07-27,67.093750,68.312500,65.656250,67.031250,67.031250,11889800\n2000-07-28,67.343750,68.375000,63.031250,63.375000,63.375000,14022600\n2000-07-31,63.093750,64.875000,61.375000,64.343750,64.343750,11073200\n2000-08-01,64.250000,65.000000,63.000000,63.718750,63.718750,8777800\n2000-08-02,63.343750,66.531250,63.125000,63.562500,63.562500,9287400\n2000-08-03,62.437500,65.781250,61.750000,65.593750,65.593750,12216200\n2000-08-04,66.375000,68.437500,65.625000,66.968750,66.968750,10833600\n2000-08-07,66.734352,68.875000,65.375000,68.250000,68.250000,9502600\n2000-08-08,67.593750,69.000000,66.531250,67.062500,67.062500,8953400\n2000-08-09,68.187500,68.750000,66.250000,66.343750,66.343750,8145800\n2000-08-10,66.281250,66.906250,64.156250,64.656250,64.656250,6857000\n2000-08-11,64.125000,64.875000,62.687500,64.312500,64.312500,7436000\n2000-08-14,64.625000,66.875000,64.093750,66.187500,66.187500,8142800\n2000-08-15,65.593750,67.625000,65.562500,66.156250,66.156250,6694400\n2000-08-16,67.250000,69.000000,66.750000,67.000000,67.000000,11161800\n2000-08-17,66.656250,67.062500,65.437500,65.562500,65.562500,11038200\n2000-08-18,65.187500,65.687500,62.500000,62.593750,62.593750,14911600\n2000-08-21,62.343750,65.281250,61.625000,65.218750,65.218750,15705600\n2000-08-22,64.500000,65.000000,63.156250,63.750000,63.750000,18488000\n2000-08-23,62.875000,67.187500,62.468750,66.906250,66.906250,14610600\n2000-08-24,66.687500,70.000000,66.062500,69.906250,69.906250,19643800\n2000-08-25,69.406250,69.843750,66.437500,67.125000,67.125000,13895600\n2000-08-28,64.250000,65.750000,60.312500,61.031250,61.031250,39080600\n2000-08-29,60.367149,63.375000,60.000000,60.500000,60.500000,27184600\n2000-08-30,60.843750,62.250000,60.257801,61.625000,61.625000,15051800\n2000-08-31,61.812500,62.000000,60.375000,60.750000,60.750000,11091400\n2000-09-01,58.937500,58.968750,55.062500,56.968750,56.968750,35473000\n2000-09-05,55.937500,59.625000,55.187500,58.562500,58.562500,27535600\n2000-09-06,58.687500,58.875000,56.000000,56.031250,56.031250,19088600\n2000-09-07,55.281250,57.375000,53.000000,53.468750,53.468750,35515800\n2000-09-08,53.593750,54.687500,49.875000,52.062500,52.062500,36988200\n2000-09-11,51.625000,54.687500,51.437500,53.156250,53.156250,17564200\n2000-09-12,54.406250,55.117149,52.500000,53.500000,53.500000,12909600\n2000-09-13,52.781250,54.093750,52.250000,53.187500,53.187500,11120400\n2000-09-14,53.906250,54.687500,53.000000,53.468750,53.468750,11057000\n2000-09-15,53.500000,53.750000,52.187500,52.937500,52.937500,13341000\n2000-09-18,52.093750,53.750000,51.187500,52.531250,52.531250,11642800\n2000-09-19,52.750000,54.125000,52.562500,54.031250,54.031250,9642600\n2000-09-20,54.625000,56.218750,53.812500,54.843750,54.843750,16960800\n2000-09-21,54.429649,56.062500,54.000000,54.062500,54.062500,8599200\n2000-09-22,51.937500,56.000000,51.937500,55.718750,55.718750,12025600\n2000-09-25,55.171848,56.187500,52.531250,52.750000,52.750000,10145800\n2000-09-26,53.000000,53.031250,50.250000,51.218750,51.218750,14132200\n2000-09-27,51.375000,51.375000,44.000000,45.187500,45.187500,59994600\n2000-09-28,45.687500,48.500000,44.968750,47.843750,47.843750,27555400\n2000-09-29,48.562500,48.625000,45.250000,45.500000,45.500000,13879800\n2000-10-02,45.781250,45.937500,42.062500,43.031250,43.031250,25121600\n2000-10-03,43.750000,45.375000,41.312500,42.000000,42.000000,25678000\n2000-10-04,42.218750,44.375000,41.250000,43.968750,43.968750,18776000\n2000-10-05,44.250000,45.312500,41.750000,42.343750,42.343750,19689600\n2000-10-06,42.750000,43.000000,39.718750,40.625000,40.625000,23314400\n2000-10-09,40.781250,43.750000,37.750000,42.875000,42.875000,25993800\n2000-10-10,43.687500,44.375000,40.937500,41.343750,41.343750,38555200\n2000-10-11,36.343750,36.781250,32.500000,32.687500,32.687500,92244000\n2000-10-12,33.343750,33.375000,27.718750,28.312500,28.312500,63441200\n2000-10-13,27.593750,30.187500,27.375000,30.000000,30.000000,56348600\n2000-10-16,30.375000,30.812500,27.531250,27.625000,27.625000,31040200\n2000-10-17,27.968750,28.062500,23.718750,24.468750,24.468750,58899000\n2000-10-18,23.218750,27.125000,22.531250,26.375000,26.375000,59887600\n2000-10-19,28.687500,30.062500,26.843750,29.781250,29.781250,34329800\n2000-10-20,29.687500,31.875000,28.343750,29.500000,29.500000,25588200\n2000-10-23,30.125000,31.046850,29.531250,29.812500,29.812500,15772600\n2000-10-24,30.718750,32.125000,29.000000,29.312500,29.312500,23606200\n2000-10-25,30.437500,30.898399,27.046850,27.781250,27.781250,20160200\n2000-10-26,28.375000,28.500000,25.437500,28.000000,28.000000,19796600\n2000-10-27,28.562500,29.218750,26.593750,27.625000,27.625000,14792400\n2000-10-30,26.906250,27.812500,25.500000,26.312500,26.312500,16900200\n2000-10-31,26.843750,30.000000,26.250000,29.312500,29.312500,23011600\n2000-11-01,28.890600,33.500000,28.500000,32.179649,32.179649,34524000\n2000-11-02,33.250000,34.625000,32.125000,33.718750,33.718750,29210800\n2000-11-03,34.687500,35.281250,33.312500,34.375000,34.375000,20381800\n2000-11-06,35.125000,35.218750,32.687500,32.812500,32.812500,14251200\n2000-11-07,32.968750,34.562500,31.812500,34.250000,34.250000,13889800\n2000-11-08,34.625000,35.312500,32.468750,32.500000,32.500000,16011400\n2000-11-09,30.429649,31.437500,28.250000,29.406250,29.406250,26721000\n2000-11-10,28.906250,30.875000,28.062500,28.218750,28.218750,19196200\n2000-11-13,27.406250,29.562500,26.000000,27.656250,27.656250,19343200\n2000-11-14,28.843750,29.750000,27.750000,29.718750,29.718750,13959400\n2000-11-15,29.125000,30.000000,27.375000,28.562500,28.562500,16191200\n2000-11-16,27.500000,28.250000,26.312500,26.468750,26.468750,13573000\n2000-11-17,26.101549,27.750000,25.000000,25.625000,25.625000,21516400\n2000-11-20,25.187500,25.687500,23.937500,24.437500,24.437500,18448400\n2000-11-21,23.500000,24.000000,20.281250,20.843750,20.843750,49950200\n2000-11-22,20.187500,21.500000,19.031250,19.093750,19.093750,43183200\n2000-11-24,20.125000,21.125000,19.687500,20.437500,20.437500,19702400\n2000-11-27,21.867149,22.500000,20.000000,20.062500,20.062500,24838400\n2000-11-28,19.968750,20.250000,17.875000,18.484350,18.484350,29390800\n2000-11-29,18.570299,19.625000,17.843750,19.531250,19.531250,35039400\n2000-11-30,18.796850,19.812500,17.593750,19.812500,19.812500,33938200\n2000-12-01,19.406250,20.562500,18.187500,19.468750,19.468750,40172600\n2000-12-04,19.218750,19.656250,18.093750,18.968750,18.968750,29997600\n2000-12-05,19.843750,22.000000,19.656250,21.937500,21.937500,30714800\n2000-12-06,20.812500,21.468750,18.562500,18.750000,18.750000,32559800\n2000-12-07,18.031250,18.109350,15.750000,17.468750,17.468750,55136200\n2000-12-08,18.562500,18.562500,16.062500,17.468750,17.468750,49184000\n2000-12-11,16.812500,18.531250,15.312500,16.937500,16.937500,71038800\n2000-12-12,16.625000,19.750000,16.468750,17.906250,17.906250,79275800\n2000-12-13,19.156250,19.312500,17.125000,17.437500,17.437500,33640400\n2000-12-14,17.656250,17.953100,15.968750,16.000000,16.000000,20899800\n2000-12-15,16.000000,17.000000,15.531250,16.500000,16.500000,40448000\n2000-12-18,16.937500,17.000000,15.125000,16.000000,16.000000,31697600\n2000-12-19,15.281250,15.984350,14.000000,14.000000,14.000000,36131600\n2000-12-20,12.906250,14.187500,12.750000,13.968750,13.968750,44862800\n2000-12-21,13.375000,14.125000,12.531250,12.812500,12.812500,27794400\n2000-12-22,13.218750,14.937500,13.031250,14.781250,14.781250,28347400\n2000-12-26,16.000000,17.000000,15.062500,15.593750,15.593750,37536200\n2000-12-27,15.500000,15.750000,14.562500,14.875000,14.875000,22045400\n2000-12-28,14.718750,15.875000,14.562500,15.500000,15.500000,24374600\n2000-12-29,15.156250,15.593750,14.781250,15.031250,15.031250,20893400\n2001-01-02,15.156250,15.187500,13.750000,14.093750,14.093750,21939200\n2001-01-03,13.875000,16.281250,12.992150,15.468750,15.468750,49936600\n2001-01-04,14.929650,16.093750,14.718750,14.781250,14.781250,35051800\n2001-01-05,14.687500,15.687500,13.937500,14.250000,14.250000,26867400\n2001-01-08,13.687500,13.750000,12.687500,13.593750,13.593750,26165200\n2001-01-09,13.281250,15.281250,13.000000,15.062500,15.062500,43097200\n2001-01-10,14.656250,15.625000,13.937500,15.250000,15.250000,54304200\n2001-01-11,12.210900,13.312500,12.062500,12.937500,12.937500,132926800\n2001-01-12,13.031250,13.437500,12.531250,13.281250,13.281250,50575600\n2001-01-16,13.500000,14.218750,13.312500,13.687500,13.687500,32059000\n2001-01-17,14.312500,15.875000,13.968750,15.125000,15.125000,66939000\n2001-01-18,15.500000,17.375000,14.843750,17.218750,17.218750,57925400\n2001-01-19,18.000000,18.031250,16.281250,16.906250,16.906250,40979800\n2001-01-22,16.656250,17.875000,16.281250,17.343750,17.343750,25512600\n2001-01-23,17.218750,19.500000,17.093750,19.476549,19.476549,34783200\n2001-01-24,19.156250,21.687500,19.000000,21.437500,21.437500,57294800\n2001-01-25,20.937500,21.406250,19.281250,19.593750,19.593750,44249200\n2001-01-26,18.812500,19.312500,18.062500,18.843750,18.843750,24462600\n2001-01-29,18.875000,20.187500,18.875000,19.937500,19.937500,18819000\n2001-01-30,20.562500,20.875000,18.875000,19.843750,19.843750,18776000\n2001-01-31,19.906250,20.531250,18.500000,18.656250,18.656250,22458600\n2001-02-01,18.750000,19.093750,17.531250,18.031250,18.031250,20113200\n2001-02-02,18.250000,18.312500,16.437500,16.500000,16.500000,21816200\n2001-02-05,16.343750,17.992149,16.031250,17.531250,17.531250,19448400\n2001-02-06,17.593750,18.250000,17.062500,18.187500,18.187500,20752000\n2001-02-07,17.562500,17.843750,16.312500,16.718750,16.718750,19541600\n2001-02-08,16.843750,16.937500,14.937500,15.093750,15.093750,28289800\n2001-02-09,15.093750,15.250000,13.875000,13.968750,13.968750,23027200\n2001-02-12,14.156250,15.000000,13.843750,14.250000,14.250000,18094400\n2001-02-13,14.468750,14.875000,13.500000,13.562500,13.562500,21768800\n2001-02-14,13.718750,14.468750,12.875000,14.250000,14.250000,22815200\n2001-02-15,14.500000,16.250000,14.500000,15.656250,15.656250,40358600\n2001-02-16,14.656250,15.000000,13.875000,14.093750,14.093750,19290600\n2001-02-20,14.468750,14.937500,13.250000,13.281250,13.281250,26573400\n2001-02-21,13.093750,14.125000,12.937500,13.062500,13.062500,23493200\n2001-02-22,13.250000,13.875000,11.812500,12.000000,12.000000,46159600\n2001-02-23,12.093750,12.750000,11.437500,12.718750,12.718750,28155400\n2001-02-26,12.937500,12.968750,11.718750,12.875000,12.875000,24700600\n2001-02-27,12.625000,12.812500,11.687500,11.718750,11.718750,19961600\n2001-02-28,11.843750,12.562500,11.531250,11.906250,11.906250,20347000\n2001-03-01,11.781250,12.218750,11.093750,12.218750,12.218750,21860200\n2001-03-02,11.460900,11.875000,10.812500,10.843750,10.843750,21483200\n2001-03-05,11.250000,11.437500,10.843750,11.093750,11.093750,17513000\n2001-03-06,11.750000,12.218750,11.156250,11.187500,11.187500,20773600\n2001-03-07,10.984350,11.000000,10.406250,10.468750,10.468750,10498800\n2001-03-08,8.531250,8.875000,8.125000,8.843750,8.843750,118728200\n2001-03-09,8.593750,8.656250,8.218750,8.500000,8.500000,28098800\n2001-03-12,8.125000,8.750000,8.054650,8.187500,8.187500,32844000\n2001-03-13,8.375000,8.601550,7.812500,8.031250,8.031250,29766600\n2001-03-14,7.687500,8.000000,7.468750,7.656250,7.656250,21191000\n2001-03-15,7.937500,8.062500,7.500000,7.500000,7.500000,16375400\n2001-03-16,7.312500,7.531250,6.750000,6.781250,6.781250,24668000\n2001-03-19,7.031250,7.562500,6.843750,7.468750,7.468750,17516200\n2001-03-20,7.625000,7.812500,6.875000,6.968750,6.968750,23528400\n2001-03-21,6.968750,7.250000,6.750000,6.843750,6.843750,15176000\n2001-03-22,7.031250,7.468750,6.765600,7.437500,7.437500,20599000\n2001-03-23,7.687500,7.789050,6.968750,7.218750,7.218750,18004600\n2001-03-26,7.562500,7.562500,7.078100,7.093750,7.093750,12504000\n2001-03-27,7.250000,7.875000,7.125000,7.781250,7.781250,21399000\n2001-03-28,7.687500,7.781250,7.250000,7.468750,7.468750,18186800\n2001-03-29,7.437500,7.500000,7.125000,7.500000,7.500000,17917800\n2001-03-30,7.500000,8.218750,7.187500,7.875000,7.875000,20178000\n2001-04-02,7.687500,7.875000,6.718750,7.000000,7.000000,19148200\n2001-04-03,6.781250,6.843750,5.687500,5.687500,5.687500,29801200\n2001-04-04,5.937500,6.656250,5.875000,6.218750,6.218750,30154800\n2001-04-05,7.531250,7.937500,7.312500,7.625000,7.625000,51246000\n2001-04-06,7.625000,7.906250,7.125000,7.406250,7.406250,30974000\n2001-04-09,7.910000,8.045000,7.475000,7.820000,7.820000,18480400\n2001-04-10,8.020000,8.460000,7.575000,8.010000,8.010000,39976000\n2001-04-11,8.500000,8.625000,7.600000,7.930000,7.930000,37044200\n2001-04-12,7.940000,8.500000,7.575000,8.480000,8.480000,34184400\n2001-04-16,8.260000,9.275000,8.100000,8.810000,8.810000,34724200\n2001-04-17,8.660000,8.900000,8.300000,8.655000,8.655000,35402800\n2001-04-18,9.205000,10.045000,8.995000,9.310000,9.310000,37386800\n2001-04-19,9.495000,10.075000,9.425000,9.980000,9.980000,26405400\n2001-04-20,10.100000,10.490000,9.610000,9.925000,9.925000,25914000\n2001-04-23,9.555000,9.585000,8.935000,8.980000,8.980000,20566200\n2001-04-24,9.125000,9.550000,8.875000,9.005000,9.005000,20524000\n2001-04-25,8.925000,9.370000,8.770000,9.340000,9.340000,14547200\n2001-04-26,9.475000,9.875000,9.060000,9.130000,9.130000,14672000\n2001-04-27,9.555000,9.925000,9.380000,9.750000,9.750000,15259400\n2001-04-30,10.130000,10.525000,9.925000,10.090000,10.090000,21019200\n2001-05-01,10.055000,11.200000,10.000000,11.155000,11.155000,20895600\n2001-05-02,11.385000,11.850000,10.560000,11.460000,11.460000,35659200\n2001-05-03,10.905000,10.985000,10.165000,10.415000,10.415000,19632800\n2001-05-04,9.935000,10.240000,9.675000,10.065000,10.065000,24910200\n2001-05-07,10.010000,10.135000,9.780000,9.990000,9.990000,13814200\n2001-05-08,10.180000,10.190000,9.575000,9.870000,9.870000,15375200\n2001-05-09,9.620000,9.620000,9.200000,9.430000,9.430000,17152000\n2001-05-10,9.660000,9.680000,9.005000,9.115000,9.115000,12491400\n2001-05-11,9.120000,9.215000,8.750000,8.895000,8.895000,9188200\n2001-05-14,8.900000,8.915000,8.475000,8.550000,8.550000,9832800\n2001-05-15,8.650000,9.525000,8.500000,9.030000,9.030000,16877400\n2001-05-16,8.910000,9.935000,8.750000,9.690000,9.690000,19513600\n2001-05-17,9.745000,10.160000,9.690000,9.925000,9.925000,18521800\n2001-05-18,9.780000,10.020000,9.450000,9.680000,9.680000,10363200\n2001-05-21,9.700000,10.750000,9.600000,10.750000,10.750000,23925600\n2001-05-22,11.075000,11.535000,10.750000,11.065000,11.065000,30289800\n2001-05-23,10.935000,10.940000,10.200000,10.220000,10.220000,15063000\n2001-05-24,10.200000,10.775000,9.940000,10.765000,10.765000,17315000\n2001-05-25,10.660000,10.680000,10.260000,10.460000,10.460000,7707000\n2001-05-29,10.425000,10.425000,9.310000,9.395000,9.395000,15425400\n2001-05-30,9.185000,9.520000,8.675000,8.835000,8.835000,16173200\n2001-05-31,8.965000,9.800000,8.925000,9.055000,9.055000,18587600\n2001-06-01,9.295000,10.075000,8.950000,9.730000,9.730000,17945200\n2001-06-04,10.230000,10.250000,9.765000,9.890000,9.890000,24160400\n2001-06-05,9.850000,10.050000,9.680000,10.000000,10.000000,14149800\n2001-06-06,9.945000,10.410000,9.800000,9.840000,9.840000,16235000\n2001-06-07,9.650000,9.715000,9.250000,9.710000,9.710000,15290400\n2001-06-08,9.695000,9.720000,9.225000,9.275000,9.275000,11039600\n2001-06-11,9.120000,9.270000,8.740000,8.930000,8.930000,13595800\n2001-06-12,8.750000,9.260000,8.500000,9.055000,9.055000,15636800\n2001-06-13,9.165000,9.195000,8.540000,8.575000,8.575000,12258000\n2001-06-14,8.530000,8.740000,8.025000,8.235000,8.235000,16570400\n2001-06-15,8.075000,8.375000,7.860000,8.005000,8.005000,17234800\n2001-06-18,8.255000,8.320000,7.640000,7.655000,7.655000,11646000\n2001-06-19,8.190000,8.255000,7.620000,7.780000,7.780000,19567800\n2001-06-20,7.655000,9.255000,7.650000,9.245000,9.245000,21971600\n2001-06-21,9.090000,9.250000,8.610000,8.900000,8.900000,21789600\n2001-06-22,9.020000,9.105000,8.600000,8.655000,8.655000,12910400\n2001-06-25,9.045000,9.985000,9.000000,9.885000,9.885000,33834000\n2001-06-26,9.525000,9.810000,9.155000,9.570000,9.570000,27588400\n2001-06-27,9.750000,9.820000,9.170000,9.365000,9.365000,21202000\n2001-06-28,9.605000,9.840000,9.560000,9.690000,9.690000,16157600\n2001-06-29,9.730000,10.000000,9.550000,9.995000,9.995000,11881000\n2001-07-02,9.830000,10.275000,9.730000,10.020000,10.020000,14062400\n2001-07-03,9.880000,10.075000,9.850000,9.905000,9.905000,7351400\n2001-07-05,10.000000,10.435000,9.480000,9.595000,9.595000,19023800\n2001-07-06,9.470000,9.500000,8.825000,8.940000,8.940000,19318200\n2001-07-09,9.075000,9.435000,9.010000,9.285000,9.285000,14335000\n2001-07-10,9.460000,9.510000,8.890000,8.915000,8.915000,12927200\n2001-07-11,8.470000,8.775000,7.655000,8.515000,8.515000,50231200\n2001-07-12,9.285000,9.310000,8.820000,9.310000,9.310000,31990000\n2001-07-13,9.085000,9.530000,8.875000,9.125000,9.125000,19426200\n2001-07-16,9.015000,9.595000,8.975000,9.005000,9.005000,23582200\n2001-07-17,8.920000,9.350000,8.770000,9.240000,9.240000,15734200\n2001-07-18,8.975000,9.125000,8.400000,8.515000,8.515000,20664000\n2001-07-19,8.785000,8.945000,8.375000,8.715000,8.715000,16326400\n2001-07-20,8.640000,9.025000,8.635000,8.970000,8.970000,17394400\n2001-07-23,9.115000,9.145000,8.710000,8.780000,8.780000,11828200\n2001-07-24,8.540000,8.885000,8.215000,8.485000,8.485000,11831600\n2001-07-25,8.495000,8.625000,8.235000,8.435000,8.435000,10177800\n2001-07-26,8.440000,8.850000,8.300000,8.740000,8.740000,11784000\n2001-07-27,8.710000,9.250000,8.600000,9.010000,9.010000,12615800\n2001-07-30,9.090000,9.195000,8.740000,8.900000,8.900000,8501600\n2001-07-31,8.975000,9.125000,8.750000,8.810000,8.810000,9468400\n2001-08-01,9.030000,9.295000,8.935000,9.145000,9.145000,14035200\n2001-08-02,9.345000,9.350000,9.000000,9.225000,9.225000,7531600\n2001-08-03,9.245000,9.255000,8.855000,8.935000,8.935000,7477600\n2001-08-06,8.875000,8.920000,8.630000,8.695000,8.695000,7260600\n2001-08-07,8.675000,8.910000,8.515000,8.650000,8.650000,7591400\n2001-08-08,8.615000,8.750000,8.220000,8.275000,8.275000,10008800\n2001-08-09,8.280000,8.285000,7.800000,8.140000,8.140000,16024400\n2001-08-10,8.045000,8.130000,7.625000,7.710000,7.710000,18642400\n2001-08-13,7.760000,7.900000,7.650000,7.820000,7.820000,10381800\n2001-08-14,7.945000,8.005000,7.370000,7.490000,7.490000,17311400\n2001-08-15,7.525000,7.540000,6.920000,7.130000,7.130000,21956200\n2001-08-16,6.980000,7.470000,6.975000,7.395000,7.395000,14791200\n2001-08-17,7.250000,7.310000,7.000000,7.025000,7.025000,9049600\n2001-08-20,7.020000,7.390000,6.875000,7.230000,7.230000,9762600\n2001-08-21,7.340000,7.345000,6.500000,6.505000,6.505000,12589800\n2001-08-22,6.720000,6.735000,6.375000,6.700000,6.700000,18209000\n2001-08-23,6.645000,6.925000,6.565000,6.630000,6.630000,15656400\n2001-08-24,6.690000,7.135000,6.600000,7.055000,7.055000,13311000\n2001-08-27,7.035000,7.035000,6.505000,6.710000,6.710000,15045400\n2001-08-28,6.760000,6.860000,6.500000,6.500000,6.500000,14270400\n2001-08-29,6.570000,6.670000,6.000000,6.070000,6.070000,21579600\n2001-08-30,6.000000,6.000000,5.510000,5.660000,5.660000,23788000\n2001-08-31,5.660000,5.950000,5.585000,5.930000,5.930000,15667000\n2001-09-04,5.980000,6.205000,5.740000,5.850000,5.850000,18605800\n2001-09-05,5.845000,5.845000,5.225000,5.320000,5.320000,24114600\n2001-09-06,5.515000,5.775000,5.285000,5.550000,5.550000,29971200\n2001-09-07,5.370000,5.580000,5.270000,5.375000,5.375000,17791800\n2001-09-10,5.365000,6.175000,5.355000,5.870000,5.870000,29562800\n2001-09-17,5.275000,5.660000,5.125000,5.440000,5.440000,34958200\n2001-09-18,5.400000,5.565000,5.015000,5.050000,5.050000,20893400\n2001-09-19,5.095000,5.200000,4.900000,5.035000,5.035000,24542000\n2001-09-20,4.975000,5.170000,4.905000,4.985000,4.985000,16103200\n2001-09-21,4.665000,4.700000,4.250000,4.340000,4.340000,25924800\n2001-09-24,4.545000,4.730000,4.410000,4.625000,4.625000,15538800\n2001-09-25,4.580000,5.020000,4.500000,4.640000,4.640000,23675000\n2001-09-26,4.675000,4.750000,4.050000,4.055000,4.055000,15748000\n2001-09-27,4.020000,4.625000,4.010000,4.555000,4.555000,29073200\n2001-09-28,4.580000,4.625000,4.300000,4.405000,4.405000,13111800\n2001-10-01,4.350000,4.600000,4.225000,4.545000,4.545000,14021600\n2001-10-02,4.510000,4.625000,4.445000,4.620000,4.620000,10246400\n2001-10-03,4.455000,5.000000,4.420000,4.955000,4.955000,23861000\n2001-10-04,5.085000,5.795000,4.840000,5.340000,5.340000,35863200\n2001-10-05,5.150000,5.300000,5.025000,5.175000,5.175000,12420400\n2001-10-08,5.025000,5.445000,4.955000,5.245000,5.245000,14124400\n2001-10-09,5.205000,5.300000,5.005000,5.080000,5.080000,12246400\n2001-10-10,5.040000,5.625000,5.005000,5.465000,5.465000,26617400\n2001-10-11,5.980000,6.340000,5.850000,6.250000,6.250000,58265400\n2001-10-12,6.105000,6.130000,5.730000,6.040000,6.040000,29939200\n2001-10-15,5.930000,6.195000,5.775000,6.035000,6.035000,11493000\n2001-10-16,6.095000,6.335000,6.005000,6.250000,6.250000,13847800\n2001-10-17,6.515000,6.590000,5.655000,5.680000,5.680000,23678200\n2001-10-18,5.745000,5.920000,5.540000,5.635000,5.635000,14633600\n2001-10-19,5.560000,5.730000,5.405000,5.685000,5.685000,13111600\n2001-10-22,5.700000,5.940000,5.535000,5.890000,5.890000,11827000\n2001-10-23,5.965000,6.145000,5.700000,5.790000,5.790000,20593400\n2001-10-24,5.890000,6.020000,5.625000,5.975000,5.975000,12465200\n2001-10-25,5.735000,6.160000,5.585000,6.125000,6.125000,20753600\n2001-10-26,6.070000,6.290000,5.865000,6.030000,6.030000,11832200\n2001-10-29,5.975000,6.075000,5.645000,5.650000,5.650000,14799000\n2001-10-30,5.520000,5.710000,5.310000,5.545000,5.545000,14171600\n2001-10-31,5.765000,5.845000,5.435000,5.440000,5.440000,11277200\n2001-11-01,5.535000,5.670000,5.335000,5.600000,5.600000,14626000\n2001-11-02,5.565000,5.625000,5.415000,5.480000,5.480000,10678000\n2001-11-05,5.630000,6.000000,5.590000,5.995000,5.995000,15136800\n2001-11-06,5.950000,6.575000,5.915000,6.495000,6.495000,23447200\n2001-11-07,6.400000,7.005000,6.400000,6.715000,6.715000,29029000\n2001-11-08,6.890000,7.140000,6.485000,6.560000,6.560000,22932000\n2001-11-09,6.610000,6.885000,6.485000,6.860000,6.860000,18362800\n2001-11-12,6.775000,6.885000,6.420000,6.850000,6.850000,15510000\n2001-11-13,7.130000,7.145000,6.900000,6.985000,6.985000,15337600\n2001-11-14,7.285000,7.690000,7.210000,7.605000,7.605000,29540000\n2001-11-15,7.445000,7.730000,7.275000,7.415000,7.415000,30830600\n2001-11-16,7.635000,8.000000,7.525000,7.735000,7.735000,31970800\n2001-11-19,8.020000,8.175000,7.810000,8.140000,8.140000,17486200\n2001-11-20,7.940000,8.000000,7.440000,7.445000,7.445000,26776200\n2001-11-21,7.490000,7.630000,7.110000,7.465000,7.465000,16417400\n2001-11-23,7.590000,7.890000,7.505000,7.865000,7.865000,9200200\n2001-11-26,8.175000,9.045000,8.100000,9.035000,9.035000,45330600\n2001-11-27,8.700000,8.970000,8.450000,8.700000,8.700000,43562200\n2001-11-28,8.520000,8.725000,8.050000,8.105000,8.105000,25570400\n2001-11-29,8.300000,8.350000,7.750000,8.350000,8.350000,33130200\n2001-11-30,8.350000,8.390000,7.680000,7.785000,7.785000,25159000\n2001-12-03,8.150000,8.175000,7.875000,7.915000,7.915000,22941800\n2001-12-04,8.145000,8.515000,8.005000,8.480000,8.480000,22457600\n2001-12-05,8.565000,8.800000,8.265000,8.530000,8.530000,40721000\n2001-12-06,8.770000,9.750000,8.635000,9.510000,9.510000,61513000\n2001-12-07,8.955000,9.115000,8.735000,8.835000,8.835000,32549200\n2001-12-10,8.815000,9.350000,8.800000,8.910000,8.910000,23105800\n2001-12-11,9.250000,9.500000,9.005000,9.210000,9.210000,29282400\n2001-12-12,9.515000,9.665000,9.325000,9.570000,9.570000,31213200\n2001-12-13,9.105000,9.155000,8.790000,8.790000,8.790000,22921200\n2001-12-14,9.020000,9.020000,8.270000,8.605000,8.605000,20105600\n2001-12-17,8.600000,9.035000,8.565000,8.930000,8.930000,15448400\n2001-12-18,9.170000,9.225000,8.980000,9.190000,9.190000,15585200\n2001-12-19,8.975000,9.150000,8.715000,8.855000,8.855000,13653200\n2001-12-20,8.800000,9.095000,8.075000,8.110000,8.110000,20588400\n2001-12-21,8.485000,8.640000,8.250000,8.460000,8.460000,23752600\n2001-12-24,8.445000,8.510000,8.275000,8.335000,8.335000,4194400\n2001-12-26,9.025000,9.135000,8.655000,8.755000,8.755000,25327400\n2001-12-27,8.975000,9.045000,8.770000,8.885000,8.885000,15643400\n2001-12-28,9.325000,9.440000,9.145000,9.150000,9.150000,25317400\n2001-12-31,9.255000,9.275000,8.800000,8.870000,8.870000,18827800\n2002-01-02,9.070000,9.345000,8.840000,9.315000,9.315000,21903600\n2002-01-03,9.350000,9.645000,9.270000,9.565000,9.565000,23668000\n2002-01-04,9.500000,9.905000,9.265000,9.450000,9.450000,24050200\n2002-01-07,9.350000,9.970000,9.325000,9.865000,9.865000,29516400\n2002-01-08,9.700000,9.865000,9.625000,9.765000,9.765000,19021200\n2002-01-09,9.900000,10.675000,9.885000,10.125000,10.125000,38134400\n2002-01-10,10.030000,10.355000,9.975000,10.245000,10.245000,21084800\n2002-01-11,10.260000,10.450000,10.010000,10.080000,10.080000,14488200\n2002-01-14,9.855000,9.960000,9.435000,9.505000,9.505000,21948400\n2002-01-15,9.610000,9.740000,9.410000,9.735000,9.735000,16099200\n2002-01-16,9.460000,9.540000,8.900000,8.935000,8.935000,39965800\n2002-01-17,9.685000,10.190000,9.625000,10.060000,10.060000,59843400\n2002-01-18,9.830000,9.990000,9.475000,9.600000,9.600000,35842800\n2002-01-22,9.950000,10.025000,9.200000,9.210000,9.210000,28990600\n2002-01-23,9.400000,9.425000,8.985000,9.220000,9.220000,21565200\n2002-01-24,9.465000,9.700000,9.010000,9.095000,9.095000,29277400\n2002-01-25,9.160000,9.425000,9.030000,9.340000,9.340000,20250600\n2002-01-28,9.415000,9.455000,9.200000,9.350000,9.350000,12314400\n2002-01-29,9.405000,9.405000,8.855000,9.090000,9.090000,20109600\n2002-01-30,9.095000,9.100000,8.090000,8.595000,8.595000,37318600\n2002-01-31,8.850000,8.900000,8.395000,8.620000,8.620000,15431600\n2002-02-01,8.630000,8.650000,8.175000,8.340000,8.340000,13860200\n2002-02-04,8.275000,8.300000,7.800000,7.875000,7.875000,17827400\n2002-02-05,7.780000,8.080000,7.615000,7.885000,7.885000,21340200\n2002-02-06,8.045000,8.050000,7.750000,7.945000,7.945000,25175200\n2002-02-07,7.830000,7.875000,7.475000,7.675000,7.675000,21492200\n2002-02-08,7.705000,8.360000,7.665000,8.325000,8.325000,18556800\n2002-02-11,8.200000,8.410000,8.060000,8.275000,8.275000,12847800\n2002-02-12,8.190000,8.265000,8.060000,8.165000,8.165000,9701200\n2002-02-13,8.340000,8.590000,8.205000,8.395000,8.395000,24922800\n2002-02-14,8.460000,8.675000,8.250000,8.285000,8.285000,13740600\n2002-02-15,8.350000,8.355000,7.745000,7.835000,7.835000,15085000\n2002-02-19,7.560000,7.575000,7.125000,7.220000,7.220000,24867000\n2002-02-20,7.370000,7.715000,7.005000,7.645000,7.645000,25165200\n2002-02-21,7.575000,7.675000,7.175000,7.220000,7.220000,20302000\n2002-02-22,7.150000,7.330000,6.705000,7.230000,7.230000,18192000\n2002-02-25,7.210000,7.625000,7.045000,7.500000,7.500000,19819800\n2002-02-26,7.555000,7.565000,7.080000,7.465000,7.465000,16967000\n2002-02-27,7.545000,7.690000,7.225000,7.275000,7.275000,16609200\n2002-02-28,7.315000,7.505000,7.125000,7.230000,7.230000,16732200\n2002-03-01,7.465000,8.345000,7.465000,8.305000,8.305000,33485400\n2002-03-04,8.565000,9.035000,8.475000,8.905000,8.905000,32436200\n2002-03-05,8.645000,9.130000,8.585000,9.095000,9.095000,28806400\n2002-03-06,8.925000,9.250000,8.815000,9.130000,9.130000,23403200\n2002-03-07,9.155000,9.250000,8.810000,8.970000,8.970000,16618600\n2002-03-08,9.220000,9.490000,9.025000,9.465000,9.465000,19056800\n2002-03-11,9.255000,10.270000,9.255000,10.250000,10.250000,34095200\n2002-03-12,9.675000,9.905000,9.450000,9.680000,9.680000,29150400\n2002-03-13,9.375000,9.800000,9.375000,9.610000,9.610000,16346600\n2002-03-14,9.520000,9.695000,9.450000,9.615000,9.615000,11820400\n2002-03-15,9.750000,9.800000,9.065000,9.360000,9.360000,26581200\n2002-03-18,9.370000,9.630000,9.330000,9.605000,9.605000,15079000\n2002-03-19,9.585000,9.725000,9.495000,9.545000,9.545000,10785200\n2002-03-20,9.335000,9.545000,9.080000,9.100000,9.100000,10253600\n2002-03-21,9.175000,9.375000,8.800000,9.295000,9.295000,20458800\n2002-03-22,9.210000,9.380000,9.090000,9.215000,9.215000,13243400\n2002-03-25,9.200000,9.440000,8.860000,8.915000,8.915000,10465600\n2002-03-26,8.810000,9.225000,8.785000,8.845000,8.845000,16236600\n2002-03-27,8.855000,8.975000,8.645000,8.925000,8.925000,11252400\n2002-03-28,9.015000,9.245000,8.935000,9.235000,9.235000,10132400\n2002-04-01,9.375000,9.425000,9.000000,9.340000,9.340000,12873600\n2002-04-02,9.220000,9.250000,8.925000,9.025000,9.025000,14504000\n2002-04-03,9.115000,9.140000,8.755000,8.910000,8.910000,14094000\n2002-04-04,8.905000,8.910000,8.550000,8.830000,8.830000,15151200\n2002-04-05,8.870000,9.240000,8.855000,9.085000,9.085000,18153400\n2002-04-08,8.800000,9.425000,8.675000,9.420000,9.420000,26425800\n2002-04-09,9.475000,9.575000,9.195000,9.230000,9.230000,21637800\n2002-04-10,9.350000,9.405000,8.750000,9.220000,9.220000,33023200\n2002-04-11,8.430000,8.435000,7.630000,7.725000,7.725000,68269000\n2002-04-12,7.910000,7.995000,7.750000,7.860000,7.860000,23181000\n2002-04-15,7.950000,8.035000,7.660000,7.705000,7.705000,18348600\n2002-04-16,7.765000,7.775000,7.525000,7.695000,7.695000,29637400\n2002-04-17,7.790000,7.950000,7.740000,7.945000,7.945000,22728800\n2002-04-18,7.885000,7.920000,7.500000,7.530000,7.530000,16957400\n2002-04-19,7.600000,7.625000,7.375000,7.380000,7.380000,18159800\n2002-04-22,7.365000,7.365000,6.940000,7.070000,7.070000,19980800\n2002-04-23,7.055000,7.140000,6.935000,7.085000,7.085000,14515400\n2002-04-24,7.340000,7.545000,7.250000,7.305000,7.305000,26954000\n2002-04-25,7.120000,7.385000,7.085000,7.175000,7.175000,16614200\n2002-04-26,7.455000,7.475000,7.175000,7.250000,7.250000,19087600\n2002-04-29,7.235000,7.350000,6.985000,7.105000,7.105000,15803200\n2002-04-30,7.110000,7.525000,7.080000,7.380000,7.380000,21189800\n2002-05-01,7.395000,7.925000,7.060000,7.820000,7.820000,26775600\n2002-05-02,7.595000,7.885000,7.400000,7.500000,7.500000,21428600\n2002-05-03,7.510000,7.550000,7.235000,7.385000,7.385000,12639200\n2002-05-06,7.320000,7.630000,7.195000,7.300000,7.300000,15049000\n2002-05-07,7.390000,7.525000,7.280000,7.370000,7.370000,12768800\n2002-05-08,7.615000,8.185000,7.550000,8.160000,8.160000,21358200\n2002-05-09,7.825000,8.325000,7.795000,8.185000,8.185000,22037600\n2002-05-10,8.100000,8.225000,7.700000,7.730000,7.730000,17620000\n2002-05-13,7.830000,8.115000,7.825000,7.990000,7.990000,14218400\n2002-05-14,8.345000,8.910000,8.325000,8.775000,8.775000,24921600\n2002-05-15,8.585000,8.990000,8.525000,8.890000,8.890000,21283600\n2002-05-16,8.830000,9.100000,8.775000,9.015000,9.015000,14107400\n2002-05-17,9.095000,9.225000,8.835000,9.000000,9.000000,12264200\n2002-05-20,8.855000,8.860000,8.445000,8.585000,8.585000,14262800\n2002-05-21,8.610000,8.635000,8.250000,8.365000,8.365000,9908600\n2002-05-22,8.295000,8.570000,7.965000,8.135000,8.135000,16974200\n2002-05-23,8.265000,8.565000,8.125000,8.545000,8.545000,14567800\n2002-05-24,8.435000,8.550000,8.250000,8.505000,8.505000,8892600\n2002-05-28,8.575000,8.580000,8.080000,8.275000,8.275000,9969600\n2002-05-29,8.245000,8.440000,8.115000,8.290000,8.290000,10859600\n2002-05-30,8.180000,8.330000,8.025000,8.210000,8.210000,9002800\n2002-05-31,8.315000,8.350000,7.975000,8.010000,8.010000,11485200\n2002-06-03,8.060000,8.200000,7.825000,7.840000,7.840000,12299800\n2002-06-04,7.755000,8.150000,7.575000,8.000000,8.000000,15346800\n2002-06-05,8.030000,8.045000,7.745000,8.005000,8.005000,11977400\n2002-06-06,7.985000,8.210000,7.855000,7.995000,7.995000,13621000\n2002-06-07,7.750000,8.115000,7.725000,7.930000,7.930000,15696600\n2002-06-10,7.935000,8.105000,7.775000,7.920000,7.920000,9751200\n2002-06-11,7.985000,8.195000,7.880000,7.930000,7.930000,10988400\n2002-06-12,7.815000,8.025000,7.540000,7.915000,7.915000,17325200\n2002-06-13,7.815000,8.100000,7.750000,7.985000,7.985000,10379800\n2002-06-14,7.750000,8.035000,7.510000,7.980000,7.980000,13859800\n2002-06-17,7.955000,8.535000,7.885000,8.390000,8.390000,14372200\n2002-06-18,8.260000,8.525000,8.225000,8.325000,8.325000,11408600\n2002-06-19,8.230000,8.435000,8.005000,8.010000,8.010000,13765800\n2002-06-20,8.015000,8.110000,7.735000,7.825000,7.825000,14256800\n2002-06-21,7.530000,7.800000,7.450000,7.745000,7.745000,17888200\n2002-06-24,7.695000,7.700000,7.265000,7.540000,7.540000,19801800\n2002-06-25,7.600000,7.685000,6.735000,6.860000,6.860000,29930600\n2002-06-26,6.515000,7.350000,6.410000,7.090000,7.090000,27075400\n2002-06-27,7.215000,7.350000,6.620000,7.090000,7.090000,23792600\n2002-06-28,7.050000,7.435000,6.960000,7.380000,7.380000,13724200\n2002-07-01,7.380000,7.430000,6.775000,6.815000,6.815000,15985000\n2002-07-02,6.790000,6.795000,5.830000,5.940000,5.940000,34056000\n2002-07-03,5.975000,6.490000,5.935000,6.390000,6.390000,25270400\n2002-07-05,6.590000,6.825000,6.500000,6.810000,6.810000,9540600\n2002-07-08,6.650000,6.900000,6.425000,6.445000,6.445000,21260400\n2002-07-09,6.490000,6.560000,6.275000,6.350000,6.350000,18565400\n2002-07-10,6.460000,6.535000,6.030000,6.095000,6.095000,43756600\n2002-07-11,5.575000,6.580000,5.555000,6.460000,6.460000,80174600\n2002-07-12,6.395000,6.665000,6.310000,6.470000,6.470000,35516000\n2002-07-15,6.405000,6.835000,6.180000,6.530000,6.530000,39270800\n2002-07-16,6.430000,7.165000,6.410000,6.880000,6.880000,34376200\n2002-07-17,7.120000,7.400000,6.960000,7.130000,7.130000,31584000\n2002-07-18,7.035000,7.125000,6.765000,6.790000,6.790000,21366600\n2002-07-19,6.670000,6.740000,6.490000,6.685000,6.685000,19755600\n2002-07-22,6.580000,6.985000,6.420000,6.660000,6.660000,26279400\n2002-07-23,6.770000,6.845000,6.325000,6.330000,6.330000,24089400\n2002-07-24,6.150000,6.795000,5.950000,6.790000,6.790000,30755600\n2002-07-25,6.530000,6.570000,5.955000,6.080000,6.080000,39191600\n2002-07-26,6.235000,6.425000,6.095000,6.350000,6.350000,24620400\n2002-07-29,6.475000,6.635000,6.420000,6.595000,6.595000,17167200\n2002-07-30,6.460000,6.945000,6.435000,6.695000,6.695000,19163200\n2002-07-31,6.580000,6.740000,6.465000,6.585000,6.585000,14406800\n2002-08-01,6.530000,6.535000,6.055000,6.080000,6.080000,16597800\n2002-08-02,6.085000,6.090000,5.660000,5.790000,5.790000,17923400\n2002-08-05,5.795000,5.815000,5.375000,5.445000,5.445000,16354600\n2002-08-06,5.620000,5.970000,5.555000,5.750000,5.750000,15271000\n2002-08-07,6.005000,6.095000,5.375000,5.715000,5.715000,16859000\n2002-08-08,5.695000,6.050000,5.650000,5.980000,5.980000,13103000\n2002-08-09,5.875000,6.095000,5.815000,5.980000,5.980000,9686400\n2002-08-12,5.840000,5.990000,5.745000,5.985000,5.985000,9145000\n2002-08-13,5.945000,6.225000,5.580000,5.595000,5.595000,20229400\n2002-08-14,5.565000,5.985000,5.465000,5.855000,5.855000,19843800\n2002-08-15,5.950000,6.145000,5.880000,6.110000,6.110000,13778400\n2002-08-16,6.060000,6.135000,5.830000,6.050000,6.050000,14823000\n2002-08-19,6.025000,6.775000,6.020000,6.735000,6.735000,25111800\n2002-08-20,6.585000,6.730000,6.450000,6.545000,6.545000,16508200\n2002-08-21,6.675000,6.740000,6.350000,6.450000,6.450000,20940400\n2002-08-22,6.510000,6.550000,6.265000,6.400000,6.400000,21010800\n2002-08-23,6.375000,6.385000,5.900000,6.010000,6.010000,17538200\n2002-08-26,6.080000,6.085000,5.570000,5.655000,5.655000,22961600\n2002-08-27,5.765000,5.765000,5.280000,5.350000,5.350000,25004800\n2002-08-28,5.320000,5.325000,4.565000,4.565000,4.565000,55790200\n2002-08-29,4.870000,5.205000,4.860000,5.125000,5.125000,70994200\n2002-08-30,5.085000,5.225000,5.005000,5.145000,5.145000,23827400\n2002-09-03,5.020000,5.040000,4.805000,4.855000,4.855000,26393200\n2002-09-04,4.890000,4.975000,4.715000,4.885000,4.885000,26636600\n2002-09-05,4.815000,4.815000,4.570000,4.595000,4.595000,19218400\n2002-09-06,4.780000,5.010000,4.755000,4.970000,4.970000,17477400\n2002-09-09,4.815000,5.180000,4.760000,5.075000,5.075000,18977400\n2002-09-10,5.075000,5.340000,5.065000,5.230000,5.230000,19370400\n2002-09-11,5.215000,5.550000,5.215000,5.360000,5.360000,15065800\n2002-09-12,5.240000,5.310000,5.125000,5.175000,5.175000,20129400\n2002-09-13,5.100000,5.325000,5.015000,5.230000,5.230000,13731400\n2002-09-16,5.230000,5.295000,5.090000,5.090000,5.090000,9599200\n2002-09-17,5.325000,5.340000,5.000000,5.005000,5.005000,10153200\n2002-09-18,5.000000,5.060000,4.835000,5.000000,5.000000,9826200\n2002-09-19,4.780000,4.950000,4.750000,4.750000,4.750000,9647400\n2002-09-20,4.850000,4.885000,4.700000,4.875000,4.875000,12771200\n2002-09-23,4.790000,4.825000,4.500000,4.540000,4.540000,16616400\n2002-09-24,4.475000,4.730000,4.470000,4.500000,4.500000,18029000\n2002-09-25,4.625000,5.030000,4.525000,4.955000,4.955000,24466200\n2002-09-26,5.115000,5.355000,5.060000,5.295000,5.295000,36120400\n2002-09-27,5.100000,5.410000,5.075000,5.290000,5.290000,14591000\n2002-09-30,5.190000,5.190000,4.770000,4.785000,4.785000,21264200\n2002-10-01,4.950000,4.970000,4.660000,4.850000,4.850000,18278800\n2002-10-02,4.835000,5.140000,4.700000,4.740000,4.740000,17789000\n2002-10-03,4.780000,5.000000,4.650000,4.695000,4.695000,12065600\n2002-10-04,4.770000,4.785000,4.625000,4.670000,4.670000,11016800\n2002-10-07,4.625000,4.745000,4.505000,4.540000,4.540000,10617800\n2002-10-08,4.690000,4.790000,4.530000,4.750000,4.750000,16115000\n2002-10-09,4.720000,5.045000,4.640000,4.990000,4.990000,38622600\n2002-10-10,5.680000,6.150000,5.650000,6.135000,6.135000,125565800\n2002-10-11,6.125000,6.750000,6.125000,6.680000,6.680000,65590000\n2002-10-14,6.445000,7.350000,6.440000,7.130000,7.130000,65224200\n2002-10-15,7.490000,7.615000,7.070000,7.210000,7.210000,75204200\n2002-10-16,6.900000,7.415000,6.860000,7.340000,7.340000,45494600\n2002-10-17,7.370000,7.490000,6.955000,7.335000,7.335000,45500400\n2002-10-18,7.205000,7.525000,7.145000,7.515000,7.515000,30130400\n2002-10-21,7.305000,7.550000,7.125000,7.480000,7.480000,35637800\n2002-10-22,7.255000,7.455000,7.155000,7.425000,7.425000,29231800\n2002-10-23,7.280000,7.535000,7.175000,7.535000,7.535000,29811600\n2002-10-24,7.700000,7.795000,7.425000,7.530000,7.530000,35035000\n2002-10-25,7.425000,7.520000,7.350000,7.460000,7.460000,24087400\n2002-10-28,7.675000,7.675000,7.265000,7.330000,7.330000,20800000\n2002-10-29,7.255000,7.400000,7.110000,7.150000,7.150000,19701000\n2002-10-30,7.145000,7.530000,7.050000,7.490000,7.490000,18673200\n2002-10-31,7.510000,7.660000,7.355000,7.460000,7.460000,20530800\n2002-11-01,7.350000,7.615000,7.250000,7.575000,7.575000,19034000\n2002-11-04,7.755000,8.745000,7.750000,8.385000,8.385000,45498600\n2002-11-05,8.150000,8.545000,8.130000,8.515000,8.515000,24968000\n2002-11-06,8.545000,8.720000,8.310000,8.690000,8.690000,50040000\n2002-11-07,8.075000,8.090000,7.665000,7.800000,7.800000,45190000\n2002-11-08,7.740000,7.970000,7.680000,7.840000,7.840000,18175400\n2002-11-11,7.765000,7.850000,7.425000,7.460000,7.460000,15788200\n2002-11-12,7.545000,7.865000,7.420000,7.740000,7.740000,16587000\n2002-11-13,7.695000,7.950000,7.540000,7.720000,7.720000,21902200\n2002-11-14,7.980000,8.375000,7.925000,8.350000,8.350000,21356200\n2002-11-15,8.190000,8.755000,8.000000,8.725000,8.725000,29216000\n2002-11-18,8.700000,9.000000,8.695000,8.880000,8.880000,19682600\n2002-11-19,8.630000,8.795000,8.285000,8.375000,8.375000,21809200\n2002-11-20,8.585000,9.005000,8.425000,9.000000,9.000000,21584600\n2002-11-21,8.995000,9.400000,8.965000,9.155000,9.155000,27018400\n2002-11-22,9.350000,9.380000,9.055000,9.200000,9.200000,16801400\n2002-11-25,9.250000,9.300000,8.925000,9.195000,9.195000,15369200\n2002-11-26,9.210000,9.250000,8.950000,9.065000,9.065000,18048200\n2002-11-27,9.165000,9.295000,9.085000,9.195000,9.195000,12832400\n2002-11-29,9.245000,9.300000,9.045000,9.135000,9.135000,8669600\n2002-12-02,9.350000,9.485000,8.960000,9.020000,9.020000,15975200\n2002-12-03,8.680000,8.810000,8.610000,8.680000,8.680000,14968400\n2002-12-04,8.580000,8.625000,8.285000,8.370000,8.370000,21054800\n2002-12-05,8.530000,8.560000,8.250000,8.275000,8.275000,10059200\n2002-12-06,8.160000,8.470000,8.085000,8.370000,8.370000,9903400\n2002-12-09,8.300000,8.330000,7.855000,7.870000,7.870000,12543800\n2002-12-10,7.935000,8.345000,7.935000,8.135000,8.135000,16256400\n2002-12-11,8.150000,8.390000,8.045000,8.230000,8.230000,10198600\n2002-12-12,8.400000,8.925000,8.180000,8.840000,8.840000,25788000\n2002-12-13,8.700000,9.095000,8.640000,8.700000,8.700000,31478800\n2002-12-16,8.690000,8.800000,8.520000,8.650000,8.650000,18587400\n2002-12-17,8.550000,8.875000,8.545000,8.760000,8.760000,15719400\n2002-12-18,8.610000,8.675000,8.295000,8.400000,8.400000,13168600\n2002-12-19,8.285000,8.560000,8.050000,8.355000,8.355000,21200200\n2002-12-20,8.505000,8.575000,8.350000,8.540000,8.540000,18247400\n2002-12-23,8.400000,8.890000,8.285000,8.860000,8.860000,14434400\n2002-12-24,8.665000,8.900000,8.660000,8.685000,8.685000,6323400\n2002-12-26,8.660000,8.770000,8.425000,8.475000,8.475000,9446200\n2002-12-27,8.430000,8.690000,8.215000,8.290000,8.290000,9223400\n2002-12-30,8.225000,8.405000,8.090000,8.240000,8.240000,11204800\n2002-12-31,8.175000,8.310000,8.090000,8.175000,8.175000,8761000\n2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400\n2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600\n2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400\n2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600\n2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600\n2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400\n2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600\n2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600\n2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600\n2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000\n2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400\n2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600\n2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600\n2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600\n2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400\n2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400\n2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600\n2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800\n2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800\n2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000\n2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000\n2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600\n2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400\n2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800\n2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000\n2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200\n2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400\n2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800\n2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000\n2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800\n2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600\n2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400\n2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400\n2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000\n2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200\n2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400\n2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200\n2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400\n2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600\n2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000\n2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600\n2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000\n2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000\n2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200\n2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200\n2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800\n2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800\n2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400\n2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400\n2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000\n2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000\n2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000\n2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000\n2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600\n2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200\n2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000\n2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400\n2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800\n2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400\n2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600\n2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200\n2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200\n2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400\n2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400\n2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200\n2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400\n2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000\n2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400\n2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000\n2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000\n2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000\n2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400\n2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600\n2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000\n2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800\n2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200\n2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000\n2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600\n2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800\n2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400\n2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400\n2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800\n2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600\n2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000\n2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600\n2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600\n2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200\n2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200\n2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000\n2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200\n2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200\n2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400\n2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400\n2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200\n2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400\n2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400\n2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400\n2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600\n2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200\n2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600\n2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200\n2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800\n2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800\n2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600\n2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400\n2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000\n2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800\n2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200\n2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400\n2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600\n2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800\n2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000\n2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000\n2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000\n2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600\n2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800\n2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200\n2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800\n2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200\n2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600\n2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600\n2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600\n2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200\n2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200\n2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600\n2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800\n2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600\n2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200\n2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200\n2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200\n2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800\n2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000\n2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600\n2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200\n2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000\n2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600\n2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200\n2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800\n2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400\n2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400\n2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000\n2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800\n2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800\n2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200\n2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800\n2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000\n2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200\n2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200\n2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200\n2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000\n2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600\n2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000\n2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400\n2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200\n2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400\n2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400\n2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000\n2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800\n2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600\n2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200\n2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000\n2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000\n2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800\n2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400\n2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800\n2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400\n2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400\n2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000\n2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600\n2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200\n2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800\n2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600\n2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200\n2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200\n2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000\n2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400\n2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400\n2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600\n2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000\n2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800\n2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800\n2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000\n2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600\n2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000\n2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000\n2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000\n2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600\n2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000\n2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400\n2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000\n2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800\n2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400\n2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000\n2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600\n2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800\n2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200\n2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800\n2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800\n2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600\n2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800\n2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000\n2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600\n2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400\n2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000\n2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400\n2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600\n2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000\n2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600\n2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800\n2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800\n2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000\n2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400\n2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800\n2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200\n2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200\n2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600\n2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200\n2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600\n2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800\n2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200\n2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600\n2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400\n2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800\n2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000\n2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400\n2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200\n2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000\n2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800\n2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600\n2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200\n2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000\n2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400\n2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400\n2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800\n2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000\n2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600\n2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000\n2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400\n2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000\n2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800\n2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000\n2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600\n2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600\n2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800\n2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800\n2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400\n2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800\n2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400\n2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400\n2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400\n2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200\n2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600\n2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000\n2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800\n2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800\n2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000\n2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200\n2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400\n2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400\n2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400\n2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200\n2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800\n2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600\n2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000\n2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800\n2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000\n2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400\n2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000\n2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800\n2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200\n2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200\n2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400\n2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400\n2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400\n2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400\n2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400\n2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600\n2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600\n2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800\n2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200\n2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000\n2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400\n2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800\n2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000\n2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800\n2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000\n2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400\n2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200\n2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000\n2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200\n2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600\n2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200\n2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200\n2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400\n2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400\n2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600\n2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600\n2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200\n2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600\n2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800\n2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800\n2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200\n2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800\n2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200\n2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200\n2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000\n2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600\n2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400\n2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400\n2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000\n2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800\n2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600\n2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400\n2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800\n2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000\n2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600\n2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400\n2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800\n2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600\n2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800\n2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800\n2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600\n2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400\n2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400\n2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600\n2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800\n2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800\n2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200\n2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000\n2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200\n2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400\n2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600\n2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400\n2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400\n2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600\n2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200\n2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800\n2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000\n2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600\n2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000\n2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600\n2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400\n2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100\n2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800\n2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900\n2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900\n2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700\n2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100\n2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200\n2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000\n2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900\n2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100\n2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100\n2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100\n2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800\n2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700\n2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600\n2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900\n2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800\n2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200\n2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200\n2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900\n2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700\n2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900\n2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000\n2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800\n2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700\n2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400\n2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400\n2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600\n2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700\n2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000\n2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800\n2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200\n2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200\n2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100\n2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400\n2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300\n2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900\n2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600\n2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700\n2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600\n2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900\n2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300\n2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700\n2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000\n2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300\n2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300\n2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500\n2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300\n2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400\n2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300\n2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500\n2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200\n2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700\n2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300\n2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700\n2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800\n2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200\n2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500\n2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000\n2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200\n2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700\n2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700\n2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300\n2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300\n2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400\n2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600\n2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800\n2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300\n2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500\n2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700\n2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400\n2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400\n2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100\n2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000\n2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500\n2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700\n2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700\n2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100\n2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700\n2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700\n2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200\n2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200\n2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800\n2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500\n2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400\n2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600\n2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900\n2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100\n2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000\n2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200\n2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500\n2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800\n2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100\n2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600\n2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800\n2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200\n2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700\n2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900\n2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300\n2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100\n2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400\n2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000\n2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700\n2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700\n2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400\n2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000\n2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300\n2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600\n2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500\n2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400\n2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600\n2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900\n2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000\n2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200\n2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300\n2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700\n2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100\n2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200\n2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500\n2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900\n2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400\n2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500\n2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300\n2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100\n2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500\n2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800\n2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400\n2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100\n2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200\n2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100\n2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100\n2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100\n2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000\n2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600\n2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100\n2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000\n2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200\n2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900\n2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100\n2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100\n2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800\n2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500\n2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900\n2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500\n2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900\n2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800\n2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700\n2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700\n2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600\n2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500\n2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500\n2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300\n2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900\n2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400\n2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500\n2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700\n2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500\n2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800\n2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000\n2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200\n2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700\n2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600\n2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800\n2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300\n2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100\n2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300\n2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300\n2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800\n2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900\n2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700\n2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500\n2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700\n2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600\n2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200\n2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100\n2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000\n2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400\n2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400\n2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500\n2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800\n2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700\n2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200\n2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600\n2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200\n2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400\n2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200\n2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900\n2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500\n2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100\n2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400\n2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800\n2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300\n2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900\n2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200\n2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500\n2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100\n2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600\n2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100\n2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300\n2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900\n2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400\n2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500\n2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200\n2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100\n2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800\n2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200\n2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300\n2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400\n2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200\n2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800\n2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000\n2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800\n2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000\n2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200\n2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400\n2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400\n2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600\n2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100\n2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000\n2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400\n2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700\n2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900\n2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000\n2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400\n2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300\n2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900\n2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000\n2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000\n2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300\n2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500\n2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900\n2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100\n2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300\n2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500\n2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200\n2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500\n2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400\n2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600\n2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800\n2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600\n2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200\n2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300\n2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300\n2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100\n2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500\n2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800\n2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900\n2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300\n2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200\n2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700\n2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000\n2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100\n2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700\n2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900\n2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900\n2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400\n2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000\n2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100\n2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900\n2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200\n2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300\n2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100\n2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700\n2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600\n2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300\n2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800\n2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700\n2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300\n2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000\n2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300\n2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100\n2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100\n2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900\n2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300\n2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200\n2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900\n2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700\n2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800\n2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200\n2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200\n2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100\n2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700\n2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200\n2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700\n2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200\n2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900\n2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500\n2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600\n2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700\n2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700\n2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300\n2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400\n2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000\n2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800\n2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500\n2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200\n2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200\n2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300\n2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500\n2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300\n2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500\n2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500\n2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600\n2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200\n2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500\n2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600\n2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100\n2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100\n2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900\n2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600\n2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400\n2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800\n2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200\n2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400\n2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900\n2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900\n2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100\n2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500\n2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100\n2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700\n2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200\n2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400\n2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400\n2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700\n2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500\n2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900\n2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400\n2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600\n2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000\n2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500\n2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500\n2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000\n2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300\n2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300\n2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400\n2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900\n2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300\n2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600\n2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400\n2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800\n2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300\n2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900\n2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900\n2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000\n2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400\n2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700\n2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200\n2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900\n2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800\n2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100\n2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000\n2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500\n2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000\n2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000\n2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100\n2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200\n2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800\n2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700\n2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600\n2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600\n2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200\n2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600\n2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300\n2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000\n2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000\n2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400\n2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900\n2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100\n2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600\n2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000\n2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800\n2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100\n2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100\n2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200\n2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800\n2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100\n2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700\n2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400\n2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600\n2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400\n2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400\n2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500\n2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600\n2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600\n2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000\n2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600\n2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500\n2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500\n2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000\n2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000\n2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900\n2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200\n2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700\n2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600\n2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400\n2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400\n2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800\n2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900\n2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600\n2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900\n2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300\n2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700\n2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200\n2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800\n2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000\n2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700\n2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500\n2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900\n2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300\n2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200\n2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900\n2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900\n2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600\n2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000\n2006-01-03,39.689999,41.220001,38.790001,40.910000,40.910000,24227700\n2006-01-04,41.220001,41.900002,40.770000,40.970001,40.970001,20549000\n2006-01-05,40.930000,41.730000,40.849998,41.529999,41.529999,12829100\n2006-01-06,42.880001,43.570000,42.799999,43.209999,43.209999,29418400\n2006-01-09,43.099998,43.660000,42.820000,43.419998,43.419998,16266900\n2006-01-10,42.959999,43.340000,42.340000,42.980000,42.980000,16287200\n2006-01-11,42.189999,42.310001,41.720001,41.869999,41.869999,26191400\n2006-01-12,41.919998,41.990002,40.759998,40.889999,40.889999,18921700\n2006-01-13,41.000000,41.080002,39.619999,39.900002,39.900002,30960800\n2006-01-17,39.090000,40.389999,38.959999,40.110001,40.110001,41797000\n2006-01-18,35.009998,36.160000,34.740002,35.180000,35.180000,118556100\n2006-01-19,35.820000,35.840000,34.240002,34.330002,34.330002,60913000\n2006-01-20,34.439999,34.660000,33.209999,33.740002,33.740002,57644600\n2006-01-23,34.220001,34.400002,33.980000,34.169998,34.169998,30887600\n2006-01-24,34.549999,35.200001,34.509998,34.869999,34.869999,31667800\n2006-01-25,35.430000,35.480000,34.380001,34.490002,34.490002,23779200\n2006-01-26,34.939999,35.250000,34.490002,35.169998,35.169998,28471400\n2006-01-27,35.259998,35.270000,34.660000,35.090000,35.090000,24317400\n2006-01-30,35.090000,35.230000,34.880001,35.049999,35.049999,29030600\n2006-01-31,35.200001,35.200001,34.310001,34.380001,34.380001,36538000\n2006-02-01,34.450001,35.000000,34.349998,35.000000,35.000000,43600400\n2006-02-02,35.009998,35.099998,34.099998,34.250000,34.250000,18323500\n2006-02-03,34.000000,34.049999,33.259998,33.540001,33.540001,32639600\n2006-02-06,33.900002,33.950001,32.779999,32.919998,32.919998,23523100\n2006-02-07,33.009998,33.099998,32.320000,33.020000,33.020000,37236800\n2006-02-08,33.240002,33.400002,32.509998,33.000000,33.000000,28112900\n2006-02-09,33.009998,33.360001,32.400002,32.500000,32.500000,25335200\n2006-02-10,32.580002,32.599998,32.099998,32.509998,32.509998,19628600\n2006-02-13,32.209999,32.439999,31.700001,32.040001,32.040001,26139300\n2006-02-14,32.139999,32.830002,32.049999,32.720001,32.720001,26198600\n2006-02-15,32.619999,33.330002,32.549999,33.020000,33.020000,19542100\n2006-02-16,33.299999,33.400002,32.599998,32.750000,32.750000,19500100\n2006-02-17,32.880001,33.139999,32.709999,32.759998,32.759998,12620200\n2006-02-21,32.900002,33.070000,32.380001,32.389999,32.389999,14328100\n2006-02-22,32.490002,33.340000,32.400002,33.160000,33.160000,18433500\n2006-02-23,33.009998,33.660000,32.880001,33.150002,33.150002,14947600\n2006-02-24,33.200001,33.340000,32.919998,33.009998,33.009998,10136400\n2006-02-27,33.110001,33.209999,32.570000,32.740002,32.740002,11821900\n2006-02-28,32.630001,32.980000,31.340000,32.060001,32.060001,39926200\n2006-03-01,32.209999,32.419998,31.719999,32.180000,32.180000,18466100\n2006-03-02,32.009998,32.110001,31.580000,31.700001,31.700001,23487300\n2006-03-03,31.700001,32.070000,31.379999,31.450001,31.450001,23196000\n2006-03-06,31.530001,31.940001,31.450001,31.570000,31.570000,17211200\n2006-03-07,31.420000,32.200001,31.309999,31.430000,31.430000,23365100\n2006-03-08,31.309999,31.549999,30.820000,30.990000,30.990000,20910200\n2006-03-09,31.049999,31.320000,30.250000,30.280001,30.280001,18277000\n2006-03-10,30.400000,31.100000,29.750000,30.580000,30.580000,28991400\n2006-03-13,30.719999,30.969999,30.120001,30.150000,30.150000,18437700\n2006-03-14,30.100000,31.000000,30.100000,30.990000,30.990000,19294700\n2006-03-15,31.250000,31.280001,30.469999,30.530001,30.530001,20758000\n2006-03-16,30.770000,30.879999,30.100000,30.129999,30.129999,17108000\n2006-03-17,30.350000,30.360001,29.830000,30.070000,30.070000,23629700\n2006-03-20,30.379999,30.930000,30.200001,30.440001,30.440001,21455200\n2006-03-21,30.110001,30.780001,30.020000,30.110001,30.110001,18876400\n2006-03-22,30.330000,30.910000,30.309999,30.750000,30.750000,23147400\n2006-03-23,31.520000,31.950001,31.480000,31.830000,31.830000,33834000\n2006-03-24,32.279999,32.310001,31.530001,31.770000,31.770000,17816500\n2006-03-27,31.840000,32.080002,31.299999,31.450001,31.450001,14858500\n2006-03-28,31.450001,32.500000,31.410000,32.389999,32.389999,25981500\n2006-03-29,32.439999,32.910000,32.139999,32.560001,32.560001,25508200\n2006-03-30,32.750000,32.830002,32.090000,32.419998,32.419998,14314000\n2006-03-31,32.450001,32.630001,32.009998,32.259998,32.259998,12677300\n2006-04-03,32.410000,32.529999,31.790001,31.889999,31.889999,14887900\n2006-04-04,31.690001,32.250000,31.660000,32.099998,32.099998,16232700\n2006-04-05,32.299999,32.500000,31.959999,32.110001,32.110001,11982500\n2006-04-06,32.119999,33.139999,32.110001,32.790001,32.790001,21572600\n2006-04-07,32.849998,32.970001,32.209999,32.270000,32.270000,12980200\n2006-04-10,32.279999,32.630001,32.119999,32.549999,32.549999,9618000\n2006-04-11,32.450001,32.599998,31.150000,31.389999,31.389999,22105600\n2006-04-12,31.440001,31.500000,30.889999,31.100000,31.100000,14926900\n2006-04-13,31.139999,31.400000,30.850000,31.129999,31.129999,15609800\n2006-04-17,31.160000,31.790001,30.660000,30.969999,30.969999,18239900\n2006-04-18,31.170000,31.379999,30.530001,31.299999,31.299999,38604500\n2006-04-19,33.470001,33.980000,32.759998,33.540001,33.540001,77253600\n2006-04-20,33.480000,33.700001,32.930000,33.369999,33.369999,23403900\n2006-04-21,33.360001,34.090000,32.700001,32.889999,32.889999,25215000\n2006-04-24,33.009998,33.450001,32.900002,33.009998,33.009998,15441600\n2006-04-25,32.990002,33.060001,31.879999,31.990000,31.990000,22363200\n2006-04-26,32.299999,33.090000,32.099998,33.000000,33.000000,24426400\n2006-04-27,32.790001,33.500000,32.400002,33.200001,33.200001,19635700\n2006-04-28,32.880001,33.450001,32.779999,32.779999,32.779999,13283500\n2006-05-01,32.990002,33.099998,31.860001,32.080002,32.080002,19752200\n2006-05-02,32.200001,32.910000,31.719999,31.850000,31.850000,16276000\n2006-05-03,32.400002,33.000000,31.750000,32.169998,32.169998,23292600\n2006-05-04,32.400002,32.560001,32.080002,32.189999,32.189999,10402300\n2006-05-05,32.630001,32.750000,32.220001,32.660000,32.660000,14689200\n2006-05-08,33.090000,33.430000,32.630001,32.869999,32.869999,18188200\n2006-05-09,32.680000,34.000000,32.349998,32.490002,32.490002,13396400\n2006-05-10,32.480000,32.560001,32.000000,32.090000,32.090000,13797500\n2006-05-11,31.959999,32.169998,30.870001,30.990000,30.990000,24277000\n2006-05-12,30.709999,31.180000,30.379999,30.809999,30.809999,16745600\n2006-05-15,30.850000,31.250000,30.600000,31.030001,31.030001,13350700\n2006-05-16,31.100000,31.219999,30.629999,30.969999,30.969999,15333700\n2006-05-17,30.610001,31.260000,30.040001,30.110001,30.110001,39847500\n2006-05-18,30.100000,30.360001,28.930000,29.000000,29.000000,38254000\n2006-05-19,29.049999,29.750000,28.600000,29.530001,29.530001,33121900\n2006-05-22,30.420000,30.980000,29.889999,30.459999,30.459999,35089300\n2006-05-23,31.040001,31.629999,30.760000,30.760000,30.760000,28583400\n2006-05-24,30.950001,32.020000,30.709999,31.790001,31.790001,27286300\n2006-05-25,32.939999,33.500000,32.500000,32.919998,32.919998,34732700\n2006-05-26,32.860001,33.020000,32.349998,33.020000,33.020000,13842600\n2006-05-30,32.730000,32.889999,31.790001,32.000000,32.000000,16247600\n2006-05-31,32.189999,32.320000,31.110001,31.590000,31.590000,21306700\n2006-06-01,31.830000,32.000000,31.490000,31.990000,31.990000,16652400\n2006-06-02,32.110001,32.189999,31.299999,31.520000,31.520000,16470900\n2006-06-05,31.190001,31.430000,30.790001,30.820000,30.820000,17188500\n2006-06-06,30.830000,30.969999,30.350000,30.700001,30.700001,15615600\n2006-06-07,30.799999,31.250000,30.360001,30.540001,30.540001,17470100\n2006-06-08,30.430000,30.990000,29.830000,30.450001,30.450001,20538600\n2006-06-09,30.700001,30.799999,30.230000,30.370001,30.370001,10044700\n2006-06-12,30.370001,30.650000,29.660000,29.780001,29.780001,14344600\n2006-06-13,29.770000,30.200001,29.510000,29.650000,29.650000,16435700\n2006-06-14,29.809999,30.000000,29.250000,29.620001,29.620001,19257500\n2006-06-15,29.980000,30.959999,29.719999,30.790001,30.790001,22375000\n2006-06-16,30.700001,30.860001,30.150000,30.360001,30.360001,12951700\n2006-06-19,30.510000,30.750000,30.059999,30.350000,30.350000,12236700\n2006-06-20,30.420000,30.650000,30.100000,30.600000,30.600000,12613200\n2006-06-21,30.770000,31.540001,30.650000,31.059999,31.059999,18252900\n2006-06-22,30.850000,31.160000,30.440001,30.680000,30.680000,11500300\n2006-06-23,31.080000,31.760000,30.820000,31.370001,31.370001,17378500\n2006-06-26,31.450001,31.700001,31.160000,31.549999,31.549999,11457000\n2006-06-27,31.850000,32.220001,31.320000,31.510000,31.510000,16589400\n2006-06-28,31.750000,32.169998,31.700001,31.920000,31.920000,14032800\n2006-06-29,32.259998,33.000000,32.200001,32.970001,32.970001,15745900\n2006-06-30,33.009998,33.119999,32.540001,33.000000,33.000000,22566600\n2006-07-03,32.900002,33.439999,32.900002,33.299999,33.299999,8067100\n2006-07-05,32.849998,32.990002,32.330002,32.470001,32.470001,13453900\n2006-07-06,32.770000,33.220001,32.700001,33.110001,33.110001,13801500\n2006-07-07,32.939999,33.049999,32.369999,32.500000,32.500000,12372500\n2006-07-10,32.910000,33.139999,32.730000,32.849998,32.849998,15317600\n2006-07-11,32.790001,33.349998,32.320000,33.169998,33.169998,11285900\n2006-07-12,33.029999,33.740002,32.990002,33.380001,33.380001,18708400\n2006-07-13,32.849998,33.160000,32.070000,32.230000,32.230000,19463500\n2006-07-14,32.340000,32.480000,31.850000,32.080002,32.080002,12484700\n2006-07-17,31.980000,32.400002,31.690001,31.840000,31.840000,16369600\n2006-07-18,32.080002,32.259998,31.250000,32.240002,32.240002,39767700\n2006-07-19,26.410000,26.700001,25.040001,25.200001,25.200001,204339000\n2006-07-20,25.549999,26.209999,24.910000,25.270000,25.270000,54659700\n2006-07-21,24.990000,26.059999,24.910000,25.889999,25.889999,36187100\n2006-07-24,26.240000,27.230000,25.889999,26.940001,26.940001,42631300\n2006-07-25,26.750000,27.190001,26.570000,26.950001,26.950001,21388800\n2006-07-26,26.780001,27.510000,26.570000,27.080000,27.080000,20073800\n2006-07-27,27.350000,27.500000,26.639999,26.700001,26.700001,25153000\n2006-07-28,26.900000,27.500000,26.330000,27.469999,27.469999,21584800\n2006-07-31,27.459999,27.549999,26.990000,27.139999,27.139999,16492600\n2006-08-01,27.059999,27.120001,26.740000,26.940001,26.940001,18613100\n2006-08-02,27.010000,27.100000,26.450001,26.629999,26.629999,18116200\n2006-08-03,26.500000,27.049999,26.400000,26.900000,26.900000,15468500\n2006-08-04,27.200001,27.580000,26.830000,26.990000,26.990000,11607900\n2006-08-07,26.920000,27.110001,26.580000,27.080000,27.080000,12847200\n2006-08-08,26.950001,27.700001,26.629999,27.440001,27.440001,19332800\n2006-08-09,27.750000,27.850000,27.000000,27.219999,27.219999,14736100\n2006-08-10,26.950001,27.799999,26.850000,27.490000,27.490000,12597900\n2006-08-11,27.520000,27.719999,27.400000,27.500000,27.500000,9252200\n2006-08-14,27.709999,27.799999,27.000000,27.260000,27.260000,10640100\n2006-08-15,27.580000,28.200001,27.480000,28.170000,28.170000,15298500\n2006-08-16,28.350000,28.459999,27.969999,28.389999,28.389999,12589400\n2006-08-17,28.379999,29.320000,28.340000,28.910000,28.910000,17251600\n2006-08-18,28.900000,29.969999,28.770000,29.780001,29.780001,19611300\n2006-08-21,29.219999,29.520000,28.830000,28.900000,28.900000,11575200\n2006-08-22,28.840000,29.650000,28.799999,29.260000,29.260000,10891800\n2006-08-23,29.340000,29.469999,28.680000,28.700001,28.700001,8837400\n2006-08-24,28.750000,29.129999,28.700001,28.990000,28.990000,8983600\n2006-08-25,28.950001,29.280001,28.740000,28.770000,28.770000,6203800\n2006-08-28,28.750000,29.250000,28.700001,28.910000,28.910000,10404700\n2006-08-29,28.860001,29.010000,28.510000,28.959999,28.959999,9888800\n2006-08-30,29.000000,29.139999,28.709999,29.020000,29.020000,13119300\n2006-08-31,28.990000,29.020000,28.590000,28.830000,28.830000,8879300\n2006-09-01,28.910000,29.530001,28.910000,29.490000,29.490000,11573600\n2006-09-05,29.450001,29.480000,28.950001,29.070000,29.070000,11425600\n2006-09-06,28.940001,29.010000,28.490000,28.500000,28.500000,12800600\n2006-09-07,28.400000,28.510000,27.820000,27.860001,27.860001,18434400\n2006-09-08,28.040001,28.320000,27.969999,28.139999,28.139999,9781800\n2006-09-11,28.049999,28.730000,27.670000,28.610001,28.610001,12936000\n2006-09-12,28.549999,29.219999,28.459999,29.090000,29.090000,10005000\n2006-09-13,29.059999,29.370001,28.799999,29.170000,29.170000,15248400\n2006-09-14,29.100000,29.240000,28.889999,29.030001,29.030001,9565500\n2006-09-15,29.299999,29.570000,29.219999,29.320000,29.320000,19550300\n2006-09-18,29.370001,29.389999,28.580000,29.000000,29.000000,15685000\n2006-09-19,29.090000,29.129999,25.100000,25.750000,25.750000,127718600\n2006-09-20,26.040001,26.090000,25.379999,25.639999,25.639999,55636600\n2006-09-21,25.530001,25.950001,25.209999,25.340000,25.340000,28584500\n2006-09-22,25.340000,25.690001,25.180000,25.520000,25.520000,20667400\n2006-09-25,25.639999,25.870001,25.200001,25.290001,25.290001,19992400\n2006-09-26,25.440001,25.480000,24.809999,25.049999,25.049999,34950100\n2006-09-27,25.000000,25.010000,24.600000,24.650000,24.650000,29835900\n2006-09-28,24.870001,25.500000,24.840000,25.330000,25.330000,35331200\n2006-09-29,25.500000,25.590000,25.240000,25.280001,25.280001,18982600\n2006-10-02,25.450001,25.459999,24.750000,24.879999,24.879999,19641300\n2006-10-03,24.809999,25.000000,24.700001,24.840000,24.840000,21148300\n2006-10-04,24.889999,25.260000,24.740000,25.209999,25.209999,21717900\n2006-10-05,25.160000,25.250000,24.879999,25.180000,25.180000,17634000\n2006-10-06,25.090000,25.500000,25.010000,25.469999,25.469999,20847000\n2006-10-09,25.450001,25.719999,25.000000,25.030001,25.030001,15729500\n2006-10-10,24.940001,25.030001,24.320000,24.469999,24.469999,30371900\n2006-10-11,24.290001,24.639999,23.799999,24.240000,24.240000,39356300\n2006-10-12,24.320000,24.379999,24.100000,24.120001,24.120001,25824500\n2006-10-13,23.900000,24.500000,23.570000,24.420000,24.420000,51338900\n2006-10-16,24.340000,24.520000,23.750000,24.180000,24.180000,36496400\n2006-10-17,23.740000,24.350000,23.680000,24.150000,24.150000,67417200\n2006-10-18,24.570000,24.750000,22.879999,22.990000,22.990000,111660900\n2006-10-19,23.020000,23.590000,23.000000,23.139999,23.139999,42280400\n2006-10-20,23.219999,23.270000,22.650000,23.209999,23.209999,49795600\n2006-10-23,23.139999,23.500000,23.100000,23.370001,23.370001,26301200\n2006-10-24,23.350000,23.639999,23.150000,23.530001,23.530001,31704000\n2006-10-25,23.730000,24.639999,23.690001,24.490000,24.490000,40110600\n2006-10-26,24.700001,25.330000,24.360001,25.280001,25.280001,38435800\n2006-10-27,25.230000,25.600000,24.900000,25.340000,25.340000,29647200\n2006-10-30,25.870001,26.400000,25.660000,25.950001,25.950001,35295800\n2006-10-31,26.440001,26.700001,26.100000,26.340000,26.340000,33492800\n2006-11-01,26.500000,26.620001,25.820000,25.990000,25.990000,26300200\n2006-11-02,25.940001,26.600000,25.770000,26.530001,26.530001,34824500\n2006-11-03,26.629999,26.700001,26.040001,26.180000,26.180000,15313800\n2006-11-06,26.340000,26.700001,26.100000,26.590000,26.590000,22563600\n2006-11-07,26.690001,27.150000,26.580000,26.610001,26.610001,28442700\n2006-11-08,26.360001,27.250000,26.309999,26.900000,26.900000,23384800\n2006-11-09,27.180000,27.650000,26.959999,27.450001,27.450001,27428600\n2006-11-10,27.400000,27.500000,27.030001,27.389999,27.389999,21366600\n2006-11-13,27.170000,27.620001,27.150000,27.400000,27.400000,16876500\n2006-11-14,27.400000,27.500000,27.110001,27.240000,27.240000,20145700\n2006-11-15,27.180000,27.500000,27.030001,27.150000,27.150000,22112700\n2006-11-16,27.309999,27.330000,26.200001,26.639999,26.639999,38508500\n2006-11-17,26.680000,27.049999,26.629999,26.910000,26.910000,17955200\n2006-11-20,26.959999,27.040001,26.629999,26.719999,26.719999,20272000\n2006-11-21,26.500000,27.340000,26.500000,27.139999,27.139999,21138300\n2006-11-22,27.510000,28.559999,27.290001,28.490000,28.490000,32055800\n2006-11-24,28.219999,28.490000,27.700001,28.030001,28.030001,9384400\n2006-11-27,27.500000,28.500000,27.170000,27.270000,27.270000,19922300\n2006-11-28,27.030001,27.240000,26.850000,27.000000,27.000000,14940800\n2006-11-29,27.400000,27.400000,26.709999,27.040001,27.040001,19375100\n2006-11-30,27.000000,27.150000,26.730000,27.010000,27.010000,14916300\n2006-12-01,27.000000,27.250000,26.000000,26.490000,26.490000,20055800\n2006-12-04,26.490000,27.299999,26.490000,26.889999,26.889999,28012700\n2006-12-05,26.870001,27.610001,26.860001,27.430000,27.430000,27118200\n2006-12-06,27.250000,27.450001,26.600000,26.860001,26.860001,35202800\n2006-12-07,26.950001,27.160000,26.600000,26.629999,26.629999,22407000\n2006-12-08,26.650000,26.780001,26.270000,26.340000,26.340000,19262200\n2006-12-11,26.370001,26.700001,26.120001,26.490000,26.490000,12916900\n2006-12-12,26.629999,27.379999,26.600000,26.750000,26.750000,31971600\n2006-12-13,27.049999,27.230000,26.510000,26.600000,26.600000,20428600\n2006-12-14,26.629999,26.969999,26.500000,26.870001,26.870001,14400300\n2006-12-15,27.000000,27.219999,26.760000,26.900000,26.900000,27227300\n2006-12-18,26.889999,26.969999,26.070000,26.299999,26.299999,19431200\n2006-12-19,26.049999,26.500000,25.910000,26.410000,26.410000,18973800\n2006-12-20,26.240000,26.309999,25.540001,25.590000,25.590000,24905600\n2006-12-21,25.709999,25.750000,25.129999,25.480000,25.480000,27050600\n2006-12-22,25.670000,25.879999,25.450001,25.549999,25.549999,14666100\n2006-12-26,25.490000,25.610001,25.340000,25.450001,25.450001,8400500\n2006-12-27,25.469999,25.879999,25.450001,25.750000,25.750000,12421800\n2006-12-28,25.620001,25.719999,25.299999,25.360001,25.360001,11908400\n2006-12-29,25.420000,25.820000,25.330000,25.540001,25.540001,16297800\n2007-01-03,25.850000,26.260000,25.260000,25.610001,25.610001,26352700\n2007-01-04,25.639999,26.920000,25.520000,26.850000,26.850000,32512200\n2007-01-05,26.700001,27.870001,26.660000,27.740000,27.740000,64264600\n2007-01-08,27.700001,28.040001,27.430000,27.920000,27.920000,25713700\n2007-01-09,28.000000,28.049999,27.410000,27.580000,27.580000,25621500\n2007-01-10,27.480000,28.920000,27.440001,28.700001,28.700001,40240000\n2007-01-11,28.760000,29.370001,28.700001,29.200001,29.200001,28457500\n2007-01-12,28.980000,29.500000,28.490000,29.450001,29.450001,20971100\n2007-01-16,29.879999,29.879999,28.790001,29.290001,29.290001,24448400\n2007-01-17,29.400000,29.400000,28.809999,29.049999,29.049999,17796100\n2007-01-18,28.920000,28.990000,27.820000,28.120001,28.120001,23869400\n2007-01-19,27.930000,28.340000,27.549999,27.639999,27.639999,24757700\n2007-01-22,27.850000,27.900000,27.180000,27.420000,27.420000,23199800\n2007-01-23,27.420000,27.540001,26.879999,26.959999,26.959999,43728100\n2007-01-24,28.340000,29.200001,28.219999,28.940001,28.940001,81017500\n2007-01-25,28.680000,29.049999,28.129999,28.209999,28.209999,28356200\n2007-01-26,28.330000,28.520000,27.959999,28.040001,28.040001,21334800\n2007-01-29,28.049999,28.209999,27.730000,27.870001,27.870001,16859000\n2007-01-30,27.870001,28.389999,27.610001,28.040001,28.040001,13576600\n2007-01-31,28.040001,28.480000,27.820000,28.309999,28.309999,14100300\n2007-02-01,28.680000,28.709999,28.150000,28.350000,28.350000,17905200\n2007-02-02,28.570000,28.920000,28.450001,28.770000,28.770000,16483100\n2007-02-05,28.670000,28.799999,28.360001,28.559999,28.559999,11163300\n2007-02-06,28.610001,29.559999,28.600000,29.350000,29.350000,24506800\n2007-02-07,29.350000,30.150000,29.120001,29.889999,29.889999,29162600\n2007-02-08,29.750000,30.240000,29.730000,30.080000,30.080000,15561700\n2007-02-09,30.070000,30.160000,29.510000,29.740000,29.740000,18172200\n2007-02-12,29.290001,29.770000,29.049999,29.170000,29.170000,18316200\n2007-02-13,29.370001,29.680000,29.260000,29.559999,29.559999,12802300\n2007-02-14,29.690001,30.860001,29.639999,30.660000,30.660000,30821100\n2007-02-15,30.820000,31.650000,30.690001,31.250000,31.250000,28160300\n2007-02-16,31.000000,32.000000,31.000000,31.910000,31.910000,36774800\n2007-02-20,31.799999,32.209999,31.389999,32.009998,32.009998,20026500\n2007-02-21,31.740000,31.770000,31.219999,31.650000,31.650000,27999200\n2007-02-22,31.600000,32.080002,31.320000,31.600000,31.600000,15485100\n2007-02-23,31.600000,32.180000,31.410000,32.099998,32.099998,21533500\n2007-02-26,32.799999,32.840000,30.850000,32.110001,32.110001,28295200\n2007-02-27,31.379999,31.639999,30.240000,30.950001,30.950001,31505200\n2007-02-28,30.860001,31.469999,30.090000,30.860001,30.860001,30487800\n2007-03-01,30.129999,31.230000,30.000000,30.860001,30.860001,24012900\n2007-03-02,30.540001,30.889999,30.280001,30.420000,30.420000,18136600\n2007-03-05,30.180000,31.900000,30.139999,30.309999,30.309999,21469000\n2007-03-06,30.889999,31.059999,30.520000,30.799999,30.799999,33472600\n2007-03-07,30.950001,31.030001,30.330000,30.389999,30.389999,16014300\n2007-03-08,30.820000,31.040001,30.580000,30.709999,30.709999,13715100\n2007-03-09,29.850000,30.150000,28.790001,29.120001,29.120001,72749900\n2007-03-12,29.299999,30.110001,29.290001,29.990000,29.990000,35991600\n2007-03-13,29.770000,30.240000,29.420000,29.559999,29.559999,18263800\n2007-03-14,29.629999,30.040001,29.260000,29.860001,29.860001,23604900\n2007-03-15,29.809999,30.070000,29.780001,30.059999,30.059999,15440900\n2007-03-16,30.020000,30.110001,29.719999,29.879999,29.879999,19799300\n2007-03-19,30.000000,30.190001,29.920000,30.030001,30.030001,9983800\n2007-03-20,30.000000,30.350000,29.940001,30.330000,30.330000,12203800\n2007-03-21,30.330000,31.389999,30.209999,31.290001,31.290001,26667300\n2007-03-22,31.360001,31.440001,30.850000,31.260000,31.260000,12989800\n2007-03-23,31.330000,31.700001,31.160000,31.360001,31.360001,12727900\n2007-03-26,31.250000,31.740000,31.240000,31.660000,31.660000,12907000\n2007-03-27,31.559999,31.660000,31.240000,31.549999,31.549999,9403100\n2007-03-28,31.450001,31.700001,31.250000,31.410000,31.410000,13162500\n2007-03-29,31.709999,31.730000,30.830000,31.340000,31.340000,13815000\n2007-03-30,31.209999,31.600000,31.020000,31.290001,31.290001,9425000\n2007-04-02,31.219999,31.400000,30.930000,31.280001,31.280001,8668800\n2007-04-03,31.410000,32.000000,31.410000,31.719999,31.719999,12324600\n2007-04-04,31.610001,31.870001,31.480000,31.620001,31.620001,7836200\n2007-04-05,32.000000,32.090000,31.719999,31.959999,31.959999,13878100\n2007-04-09,32.009998,32.240002,31.600000,31.639999,31.639999,12408000\n2007-04-10,31.639999,32.020000,31.600000,31.690001,31.690001,12797600\n2007-04-11,31.650000,31.730000,30.900000,31.170000,31.170000,16141100\n2007-04-12,31.260000,31.420000,31.100000,31.209999,31.209999,13904800\n2007-04-13,31.150000,31.500000,30.959999,31.410000,31.410000,12006300\n2007-04-16,31.680000,31.790001,31.240000,31.610001,31.610001,14359100\n2007-04-17,31.980000,32.139999,31.709999,32.090000,32.090000,43223800\n2007-04-18,28.420000,28.900000,27.889999,28.309999,28.309999,127875300\n2007-04-19,28.100000,28.230000,27.459999,27.510000,27.510000,45664700\n2007-04-20,27.860001,27.860001,27.370001,27.459999,27.459999,39123300\n2007-04-23,27.530001,28.139999,27.370001,27.879999,27.879999,27262400\n2007-04-24,28.030001,28.260000,27.690001,28.020000,28.020000,25964000\n2007-04-25,28.219999,28.270000,27.680000,28.059999,28.059999,35568600\n2007-04-26,27.980000,28.650000,27.730000,28.490000,28.490000,32331000\n2007-04-27,28.350000,28.860001,28.170000,28.340000,28.340000,21097000\n2007-04-30,28.320000,28.500000,28.000000,28.040001,28.040001,17596300\n2007-05-01,28.250000,28.350000,27.530001,27.730000,27.730000,18310900\n2007-05-02,27.719999,28.260000,27.719999,28.120001,28.120001,16911800\n2007-05-03,28.250000,28.500000,28.010000,28.180000,28.180000,20119500\n2007-05-04,33.270000,33.610001,29.580000,30.980000,30.980000,245611400\n2007-05-07,30.129999,30.980000,29.860001,30.379999,30.379999,41243900\n2007-05-08,30.240000,31.100000,30.209999,30.410000,30.410000,28018200\n2007-05-09,30.170000,30.440001,29.950001,30.219999,30.219999,23533100\n2007-05-10,30.520000,30.690001,29.610001,29.700001,29.700001,26570200\n2007-05-11,29.620001,30.080000,29.530001,30.049999,30.049999,13838800\n2007-05-14,29.790001,30.000000,29.080000,29.309999,29.309999,20895900\n2007-05-15,29.160000,29.420000,28.750000,28.809999,28.809999,22226800\n2007-05-16,28.889999,29.370001,28.250000,29.209999,29.209999,32944800\n2007-05-17,28.990000,29.129999,28.490000,28.570000,28.570000,23535000\n2007-05-18,28.900000,29.799999,28.780001,29.750000,29.750000,35487200\n2007-05-21,29.620001,29.860001,29.320000,29.350000,29.350000,18955900\n2007-05-22,29.330000,29.350000,28.780001,28.920000,28.920000,19131300\n2007-05-23,29.100000,29.370001,28.530001,28.610001,28.610001,27964400\n2007-05-24,28.650000,28.879999,28.250000,28.410000,28.410000,19122900\n2007-05-25,28.440001,28.730000,28.340000,28.580000,28.580000,10334600\n2007-05-29,28.360001,28.730000,28.200001,28.400000,28.400000,13981500\n2007-05-30,28.190001,28.379999,28.000000,28.379999,28.379999,16046800\n2007-05-31,28.760000,28.850000,28.490000,28.700001,28.700001,15859100\n2007-06-01,28.900000,29.129999,28.610001,28.780001,28.780001,12398800\n2007-06-04,28.600000,28.780001,28.400000,28.590000,28.590000,13428800\n2007-06-05,28.400000,28.590000,28.100000,28.230000,28.230000,20494800\n2007-06-06,28.049999,28.110001,27.299999,27.440001,27.440001,33508200\n2007-06-07,27.340000,27.730000,26.980000,26.980000,26.980000,34232300\n2007-06-08,27.020000,27.450001,26.959999,27.389999,27.389999,18618500\n2007-06-11,27.270000,27.520000,27.150000,27.350000,27.350000,14856500\n2007-06-12,27.299999,27.660000,26.980000,27.049999,27.049999,22203600\n2007-06-13,27.120001,27.410000,26.610001,27.379999,27.379999,31210700\n2007-06-14,27.379999,27.639999,27.150000,27.299999,27.299999,18919400\n2007-06-15,27.490000,27.520000,27.190001,27.309999,27.309999,23816900\n2007-06-18,27.719999,28.340000,27.500000,28.120001,28.120001,70919400\n2007-06-19,29.400000,29.400000,27.540001,27.629999,27.629999,65967500\n2007-06-20,27.889999,28.170000,27.660000,27.660000,27.660000,33496400\n2007-06-21,27.690001,27.940001,27.549999,27.670000,27.670000,17885800\n2007-06-22,27.680000,27.790001,27.309999,27.379999,27.379999,33796900\n2007-06-25,27.600000,27.770000,27.340000,27.639999,27.639999,21232200\n2007-06-26,27.730000,28.180000,27.360001,27.709999,27.709999,25324000\n2007-06-27,27.510000,27.660000,27.400000,27.580000,27.580000,13997000\n2007-06-28,27.440001,27.490000,27.120001,27.250000,27.250000,17124500\n2007-06-29,27.209999,27.379999,26.930000,27.129999,27.129999,13842500\n2007-07-02,27.190001,27.270000,26.760000,26.860001,26.860001,21011000\n2007-07-03,26.950001,27.250000,26.900000,27.000000,27.000000,11643400\n2007-07-05,26.920000,27.139999,26.900000,26.990000,26.990000,16071900\n2007-07-06,27.010000,27.139999,26.930000,27.100000,27.100000,12284500\n2007-07-09,26.920000,27.330000,26.820000,27.200001,27.200001,17515800\n2007-07-10,27.090000,27.570000,26.959999,26.969999,26.969999,24635500\n2007-07-11,27.030001,27.049999,26.549999,26.690001,26.690001,21970700\n2007-07-12,26.700001,26.969999,26.340000,26.959999,26.959999,20082300\n2007-07-13,26.870001,26.969999,26.500000,26.580000,26.580000,18522700\n2007-07-16,26.480000,26.740000,26.129999,26.700001,26.700001,30804500\n2007-07-17,26.740000,27.799999,26.700001,27.530001,27.530001,53656100\n2007-07-18,26.070000,26.719999,26.020000,26.200001,26.200001,65125900\n2007-07-19,26.320000,26.340000,25.920000,26.030001,26.030001,29537900\n2007-07-20,25.700001,25.889999,25.200001,25.350000,25.350000,38056100\n2007-07-23,25.430000,25.459999,24.980000,24.990000,24.990000,26631500\n2007-07-24,24.799999,25.340000,24.730000,24.840000,24.840000,28981000\n2007-07-25,25.010000,25.320000,24.590000,24.680000,24.680000,21882400\n2007-07-26,24.400000,24.490000,23.620001,24.030001,24.030001,33373300\n2007-07-27,23.980000,24.490000,23.469999,23.490000,23.490000,35783800\n2007-07-30,23.549999,23.879999,23.379999,23.620001,23.620001,20976600\n2007-07-31,23.879999,23.930000,23.240000,23.250000,23.250000,21575800\n2007-08-01,23.170000,23.400000,22.850000,23.250000,23.250000,22030400\n2007-08-02,22.650000,23.700001,22.650000,23.360001,23.360001,21098900\n2007-08-03,23.200001,23.389999,22.870001,22.920000,22.920000,19702100\n2007-08-06,23.030001,23.150000,22.440001,22.969999,22.969999,28948000\n2007-08-07,22.750000,23.700001,22.690001,23.440001,23.440001,20075300\n2007-08-08,23.459999,23.870001,23.430000,23.870001,23.870001,17198000\n2007-08-09,23.670000,24.450001,23.510000,23.799999,23.799999,24052500\n2007-08-10,23.930000,24.219999,23.520000,23.940001,23.940001,22939800\n2007-08-13,24.209999,24.740000,24.010000,24.570000,24.570000,21317600\n2007-08-14,24.690001,24.700001,23.690001,23.719999,23.719999,18707100\n2007-08-15,23.559999,24.000000,23.250000,23.320000,23.320000,18767700\n2007-08-16,23.000000,23.150000,22.500000,22.760000,22.760000,29652200\n2007-08-17,23.260000,23.629999,22.760000,23.540001,23.540001,19528200\n2007-08-20,23.639999,23.740000,23.180000,23.340000,23.340000,13338900\n2007-08-21,23.250000,23.480000,22.910000,23.040001,23.040001,25962900\n2007-08-22,23.219999,23.520000,23.180000,23.230000,23.230000,18763700\n2007-08-23,23.350000,23.360001,22.950001,23.129999,23.129999,15603000\n2007-08-24,23.030001,23.730000,23.030001,23.590000,23.590000,11191100\n2007-08-27,23.590000,23.760000,23.010000,23.030001,23.030001,16523800\n2007-08-28,22.950001,23.100000,22.500000,22.520000,22.520000,18030600\n2007-08-29,22.600000,22.690001,22.270000,22.549999,22.549999,24599900\n2007-08-30,22.490000,22.910000,22.379999,22.610001,22.610001,18172500\n2007-08-31,22.809999,22.830000,22.510000,22.730000,22.730000,13052500\n2007-09-04,23.299999,24.500000,23.200001,23.969999,23.969999,43598600\n2007-09-05,24.100000,24.400000,23.910000,24.100000,24.100000,23071000\n2007-09-06,24.219999,24.320000,23.620001,24.150000,24.150000,13922100\n2007-09-07,23.760000,24.049999,23.600000,23.760000,23.760000,12591900\n2007-09-10,23.850000,23.850000,23.100000,23.299999,23.299999,15246000\n2007-09-11,23.309999,23.840000,23.309999,23.709999,23.709999,17207500\n2007-09-12,23.639999,23.940001,23.530001,23.559999,23.559999,16553700\n2007-09-13,23.600000,23.959999,23.600000,23.719999,23.719999,10309000\n2007-09-14,23.690001,25.000000,23.650000,24.730000,24.730000,28868600\n2007-09-17,24.500000,25.100000,24.379999,24.950001,24.950001,20594000\n2007-09-18,25.059999,25.209999,24.530001,25.059999,25.059999,28121000\n2007-09-19,25.090000,25.370001,24.809999,25.290001,25.290001,25867900\n2007-09-20,25.280001,25.610001,25.160000,25.290001,25.290001,17312000\n2007-09-21,25.540001,26.209999,25.290001,26.049999,26.049999,53074900\n2007-09-24,26.129999,26.400000,25.510000,25.730000,25.730000,27597800\n2007-09-25,25.700001,26.650000,25.629999,26.510000,26.510000,33721300\n2007-09-26,26.700001,27.070000,26.500000,26.700001,26.700001,18692400\n2007-09-27,26.950001,26.950001,26.170000,26.270000,26.270000,21365200\n2007-09-28,26.490000,26.889999,26.200001,26.840000,26.840000,22155600\n2007-10-01,26.760000,27.100000,26.730000,27.040001,27.040001,16938700\n2007-10-02,27.200001,27.240000,26.620001,26.950001,26.950001,15133400\n2007-10-03,27.160000,27.379999,26.820000,27.170000,27.170000,18052500\n2007-10-04,27.190001,27.290001,26.900000,27.150000,27.150000,19203600\n2007-10-05,27.780001,28.160000,27.750000,27.879999,27.879999,28389600\n2007-10-08,28.010000,28.170000,27.750000,28.049999,28.049999,15060700\n2007-10-09,28.350000,28.760000,27.940001,28.370001,28.370001,19539500\n2007-10-10,28.430000,28.700001,27.900000,28.360001,28.360001,14847100\n2007-10-11,28.440001,28.680000,27.500000,27.650000,27.650000,25298300\n2007-10-12,27.760000,28.510000,27.650000,28.480000,28.480000,22130500\n2007-10-15,28.320000,28.400000,27.459999,27.860001,27.860001,22994100\n2007-10-16,27.370001,27.480000,26.549999,26.690001,26.690001,56275300\n2007-10-17,29.100000,29.200001,28.000000,28.820000,28.820000,75067700\n2007-10-18,28.590000,29.600000,28.469999,29.350000,29.350000,28152200\n2007-10-19,29.360001,29.959999,28.850000,29.030001,29.030001,41933000\n2007-10-22,28.930000,30.000000,28.799999,29.850000,29.850000,27750100\n2007-10-23,30.120001,30.879999,30.030001,30.639999,30.639999,45406200\n2007-10-24,30.680000,30.980000,30.000000,30.680000,30.680000,33603100\n2007-10-25,30.750000,31.620001,30.500000,31.340000,31.340000,38706600\n2007-10-26,32.430000,33.990002,31.610001,33.630001,33.630001,66018100\n2007-10-29,34.070000,34.080002,31.180000,31.790001,31.790001,83685800\n2007-10-30,31.549999,31.639999,30.120001,30.830000,30.830000,52417300\n2007-10-31,31.500000,31.750000,30.500000,31.100000,31.100000,34762000\n2007-11-01,30.860001,31.100000,30.040001,30.219999,30.219999,26913300\n2007-11-02,30.540001,31.209999,29.639999,31.110001,31.110001,34090300\n2007-11-05,30.709999,32.369999,30.350000,31.360001,31.360001,43520300\n2007-11-06,31.760000,31.790001,29.000000,29.930000,29.930000,63664400\n2007-11-07,29.270000,29.299999,27.559999,27.629999,27.629999,57069800\n2007-11-08,28.110001,28.240000,25.820000,26.700001,26.700001,58160600\n2007-11-09,26.129999,26.379999,25.400000,25.790001,25.790001,45199700\n2007-11-12,25.799999,26.200001,24.690001,24.780001,24.780001,31264200\n2007-11-13,25.530001,26.240000,25.299999,26.100000,26.100000,34123300\n2007-11-14,26.420000,26.440001,25.000000,25.070000,25.070000,38183700\n2007-11-15,24.940001,25.750000,24.900000,25.420000,25.420000,27920800\n2007-11-16,25.660000,27.129999,25.100000,26.820000,26.820000,53044400\n2007-11-19,27.110001,27.350000,26.350000,26.760000,26.760000,33066200\n2007-11-20,26.930000,27.250000,25.980000,26.719999,26.719999,25672500\n2007-11-21,26.110001,26.580000,25.520000,25.709999,25.709999,23320100\n2007-11-23,25.980000,26.400000,25.760000,26.129999,26.129999,9249400\n2007-11-26,26.080000,26.250000,25.200001,25.219999,25.219999,24174600\n2007-11-27,25.180000,26.000000,25.170000,25.590000,25.590000,19484500\n2007-11-28,26.030001,26.700001,25.930000,26.200001,26.200001,23239300\n2007-11-29,26.010000,26.709999,25.910000,26.629999,26.629999,17929700\n2007-11-30,26.959999,27.330000,26.510000,26.809999,26.809999,23994000\n2007-12-03,26.639999,27.200001,26.559999,26.610001,26.610001,15250100\n2007-12-04,26.139999,26.730000,26.110001,26.420000,26.420000,14668800\n2007-12-05,26.629999,26.730000,25.730000,25.980000,25.980000,21170900\n2007-12-06,25.879999,26.020000,25.389999,25.959999,25.959999,19236500\n2007-12-07,25.860001,26.110001,25.500000,25.629999,25.629999,11443200\n2007-12-10,25.510000,25.570000,24.920000,25.200001,25.200001,26074900\n2007-12-11,25.150000,25.650000,24.360001,24.469999,24.469999,28579100\n2007-12-12,24.820000,25.000000,24.110001,24.540001,24.540001,20241200\n2007-12-13,24.389999,24.750000,24.190001,24.379999,24.379999,23787400\n2007-12-14,24.129999,24.469999,24.000000,24.059999,24.059999,15125500\n2007-12-17,23.799999,24.030001,22.940001,23.040001,23.040001,37877100\n2007-12-18,23.219999,23.350000,22.799999,23.020000,23.020000,27735600\n2007-12-19,22.920000,23.690001,22.920000,23.309999,23.309999,26547300\n2007-12-20,23.500000,23.799999,23.240000,23.639999,23.639999,21030700\n2007-12-21,23.879999,24.100000,23.740000,24.010000,24.010000,24094600\n2007-12-24,24.010000,24.190001,23.940001,24.049999,24.049999,24861800\n2007-12-26,23.850000,24.250000,23.850000,23.959999,23.959999,9821600\n2007-12-27,23.600000,24.150000,23.570000,23.709999,23.709999,16041500\n2007-12-28,23.660000,23.709999,23.209999,23.450001,23.450001,13773000\n2007-12-31,23.219999,23.430000,23.110001,23.260000,23.260000,14782600\n2008-01-02,23.799999,24.150000,23.600000,23.719999,23.719999,25671700\n2008-01-03,23.860001,24.190001,23.700001,23.840000,23.840000,20179700\n2008-01-04,23.809999,23.809999,23.100000,23.160000,23.160000,20745800\n2008-01-07,23.120001,23.559999,22.730000,23.180000,23.180000,24769400\n2008-01-08,23.280001,23.650000,22.500000,22.610001,22.610001,22974000\n2008-01-09,22.469999,22.799999,21.370001,22.559999,22.559999,46662700\n2008-01-10,23.190001,24.570000,22.830000,24.090000,24.090000,52342100\n2008-01-11,23.809999,24.129999,22.980000,23.360001,23.360001,27297400\n2008-01-14,23.510000,23.760000,23.180000,23.700001,23.700001,18552900\n2008-01-15,23.000000,23.490000,22.570000,22.910000,22.910000,31911000\n2008-01-16,22.200001,22.750000,21.730000,21.950001,21.950001,38155300\n2008-01-17,22.000000,22.170000,21.139999,21.219999,21.219999,28812600\n2008-01-18,21.270000,21.610001,20.070000,20.780001,20.780001,41239300\n2008-01-22,19.290001,21.030001,19.260000,19.860001,19.860001,38126200\n2008-01-23,19.250000,20.340000,18.719999,20.010000,20.010000,42064200\n2008-01-24,20.440001,21.750000,20.420000,21.690001,21.690001,39823300\n2008-01-25,22.240000,22.370001,21.320000,21.940001,21.940001,28386800\n2008-01-28,21.559999,21.900000,20.420000,20.780001,20.780001,32473100\n2008-01-29,20.870001,20.900000,20.049999,20.809999,20.809999,79230000\n2008-01-30,18.620001,20.809999,18.580000,19.049999,19.049999,115993300\n2008-01-31,18.870001,19.350000,18.719999,19.180000,19.180000,41449800\n2008-02-01,28.680000,29.830000,27.340000,28.379999,28.379999,438248800\n2008-02-04,28.330000,29.500000,28.330000,29.330000,29.330000,144814000\n2008-02-05,28.780001,29.570000,28.750000,28.980000,28.980000,68583700\n2008-02-06,29.110001,29.330000,28.530001,28.570000,28.570000,55648800\n2008-02-07,28.629999,29.190001,28.600000,29.040001,29.040001,44248800\n2008-02-08,28.980000,29.219999,28.709999,29.200001,29.200001,55618900\n2008-02-11,29.889999,30.049999,29.320000,29.870001,29.870001,67253700\n2008-02-12,29.809999,29.840000,29.400000,29.570000,29.570000,42445600\n2008-02-13,29.780001,30.070000,29.600000,29.879999,29.879999,57047700\n2008-02-14,29.980000,30.250000,29.750000,29.980000,29.980000,38045600\n2008-02-15,29.950001,30.150000,29.430000,29.660000,29.660000,40125200\n2008-02-19,29.340000,29.420000,28.750000,29.010000,29.010000,38679600\n2008-02-20,28.709999,29.040001,28.389999,28.830000,28.830000,29338800\n2008-02-21,28.760000,29.170000,28.250000,28.420000,28.420000,34681900\n2008-02-22,28.360001,28.639999,27.980000,28.420000,28.420000,26157800\n2008-02-25,28.420000,28.570000,27.750000,28.129999,28.129999,32470600\n2008-02-26,27.930000,28.549999,27.809999,28.219999,28.219999,26013000\n2008-02-27,28.330000,28.490000,27.750000,28.370001,28.370001,27664100\n2008-02-28,27.980000,28.820000,27.959999,28.150000,28.150000,30113200\n2008-02-29,27.940001,28.410000,27.500000,27.780001,27.780001,23860500\n2008-03-03,27.730000,28.080000,27.660000,27.770000,27.770000,22765100\n2008-03-04,27.799999,28.070000,27.430000,28.059999,28.059999,28305000\n2008-03-05,28.000000,28.780001,28.000000,28.670000,28.670000,30280100\n2008-03-06,28.639999,28.980000,28.440001,28.700001,28.700001,34591000\n2008-03-07,28.580000,29.180000,28.500000,29.030001,29.030001,28266000\n2008-03-10,28.870001,28.980000,28.510000,28.510000,28.510000,29698500\n2008-03-11,28.910000,29.160000,28.430000,29.000000,29.000000,22077400\n2008-03-12,28.889999,29.020000,28.389999,28.450001,28.450001,18338300\n2008-03-13,28.070000,28.270000,27.379999,27.500000,27.500000,75429000\n2008-03-14,27.850000,27.959999,26.500000,26.709999,26.709999,44386000\n2008-03-17,26.500000,26.639999,25.719999,25.850000,25.850000,33771900\n2008-03-18,26.940001,27.719999,26.250000,27.660000,27.660000,38074400\n2008-03-19,27.559999,27.790001,26.910000,27.070000,27.070000,23317500\n2008-03-20,27.360001,27.910000,26.980000,27.660000,27.660000,29864500\n2008-03-24,27.559999,28.070000,27.450001,27.520000,27.520000,17360800\n2008-03-25,28.139999,28.750000,27.700001,28.730000,28.730000,33759600\n2008-03-26,28.629999,28.780001,28.190001,28.490000,28.490000,15271500\n2008-03-27,28.490000,28.500000,27.900000,28.090000,28.090000,15558400\n2008-03-28,28.320000,29.090000,28.150000,28.990000,28.990000,34274200\n2008-03-31,28.559999,29.120001,28.270000,28.930000,28.930000,17224600\n2008-04-01,28.070000,28.620001,28.020000,28.500000,28.500000,20483600\n2008-04-02,28.570000,28.600000,27.490000,27.820000,27.820000,30180400\n2008-04-03,27.650000,28.219999,27.580000,28.129999,28.129999,14535400\n2008-04-04,28.000000,28.450001,27.590000,28.360001,28.360001,28290700\n2008-04-07,27.799999,28.150000,27.570000,27.700001,27.700001,29455100\n2008-04-08,27.719999,27.820000,27.490000,27.700001,27.700001,17935600\n2008-04-09,27.799999,27.950001,27.129999,27.770000,27.770000,31768300\n2008-04-10,28.389999,28.690001,28.280001,28.590000,28.590000,32671200\n2008-04-11,28.410000,28.610001,28.090000,28.340000,28.340000,18433700\n2008-04-14,28.180000,28.340000,27.790001,27.799999,27.799999,14159500\n2008-04-15,28.049999,28.250000,27.770000,28.170000,28.170000,12096600\n2008-04-16,28.110001,28.400000,28.110001,28.309999,28.309999,9204900\n2008-04-17,28.400000,28.400000,27.959999,28.030001,28.030001,10848800\n2008-04-18,28.440001,28.670000,28.170000,28.430000,28.430000,25292200\n2008-04-21,28.520000,28.680000,28.219999,28.549999,28.549999,18368700\n2008-04-22,28.730000,28.879999,28.440001,28.540001,28.540001,28564000\n2008-04-23,28.240000,28.350000,27.709999,28.080000,28.080000,31134400\n2008-04-24,28.010000,28.080000,27.240000,27.299999,27.299999,25944000\n2008-04-25,26.850000,26.930000,26.080000,26.799999,26.799999,50523100\n2008-04-28,27.000000,27.090000,26.250000,26.430000,26.430000,20869300\n2008-04-29,26.350000,27.480000,25.809999,27.360001,27.360001,36678000\n2008-04-30,27.170000,27.780001,26.760000,27.410000,27.410000,31034100\n2008-05-01,27.690001,28.340000,26.500000,26.809999,26.809999,52071000\n2008-05-02,27.650000,29.730000,27.209999,28.670000,28.670000,80447300\n2008-05-05,23.049999,24.930000,22.969999,24.370001,24.370001,279318400\n2008-05-06,25.540001,26.250000,24.200001,25.719999,25.719999,180100000\n2008-05-07,25.570000,25.709999,25.030001,25.639999,25.639999,84698300\n2008-05-08,25.660000,26.440001,25.510000,26.219999,26.219999,61308600\n2008-05-09,26.010000,26.190001,25.750000,25.930000,25.930000,30686900\n2008-05-12,25.799999,25.879999,25.020000,25.260000,25.260000,41319400\n2008-05-13,25.150000,26.840000,24.389999,26.559999,26.559999,81351200\n2008-05-14,26.950001,27.360001,26.200001,27.139999,27.139999,64571100\n2008-05-15,27.540001,27.980000,26.850000,27.750000,27.750000,79748700\n2008-05-16,27.730000,27.950001,27.410000,27.660000,27.660000,61318300\n2008-05-19,27.900000,28.330000,27.420000,27.680000,27.680000,55348600\n2008-05-20,27.680000,28.200001,27.320000,27.480000,27.480000,29450900\n2008-05-21,27.340000,27.950001,26.799999,27.330000,27.330000,38317200\n2008-05-22,27.299999,27.610001,26.950001,27.530001,27.530001,24737400\n2008-05-23,27.480000,27.740000,27.260000,27.719999,27.719999,24035700\n2008-05-27,27.500000,27.629999,26.980000,27.000000,27.000000,20703900\n2008-05-28,27.420000,27.480000,26.950001,27.160000,27.160000,21785600\n2008-05-29,27.340000,27.360001,27.000000,27.070000,27.070000,17905300\n2008-05-30,27.070000,27.100000,26.629999,26.760000,26.760000,17771800\n2008-06-02,26.799999,26.809999,26.030001,26.400000,26.400000,26379400\n2008-06-03,26.360001,26.600000,25.780001,26.150000,26.150000,25586000\n2008-06-04,26.250000,27.049999,26.160000,26.850000,26.850000,29973600\n2008-06-05,26.459999,26.639999,25.969999,26.360001,26.360001,30167300\n2008-06-06,26.500000,27.080000,26.030001,26.440001,26.440001,37758400\n2008-06-09,26.500000,26.860001,26.100000,26.580000,26.580000,17278300\n2008-06-10,26.320000,26.580000,26.250000,26.400000,26.400000,11854000\n2008-06-11,26.420000,26.459999,26.000000,26.150000,26.150000,13315400\n2008-06-12,26.330000,26.330000,22.500000,23.520000,23.520000,122412100\n2008-06-13,22.820000,23.480000,21.750000,23.469999,23.469999,118467700\n2008-06-16,22.950001,23.580000,22.709999,23.540001,23.540001,44711900\n2008-06-17,23.580000,23.580000,22.900000,23.250000,23.250000,22808800\n2008-06-18,23.219999,23.219999,22.629999,22.910000,22.910000,14255900\n2008-06-19,22.780001,22.870001,22.370001,22.730000,22.730000,19001300\n2008-06-20,22.490000,22.530001,21.900000,21.990000,21.990000,34606900\n2008-06-23,22.070000,22.120001,21.299999,21.450001,21.450001,29819200\n2008-06-24,21.170000,23.709999,20.600000,22.040001,22.040001,85211700\n2008-06-25,22.000000,22.240000,21.860001,22.010000,22.010000,19530900\n2008-06-26,21.590000,21.889999,21.280001,21.370001,21.370001,23993900\n2008-06-27,21.290001,21.459999,20.700001,21.330000,21.330000,30236800\n2008-06-30,21.120001,21.200001,20.600000,20.660000,20.660000,17173500\n2008-07-01,20.480000,20.490000,19.590000,20.200001,20.200001,36634700\n2008-07-02,21.889999,21.900000,20.670000,20.879999,20.879999,58418100\n2008-07-03,21.350000,21.750000,21.030001,21.350000,21.350000,21923800\n2008-07-07,23.400000,24.250000,22.920000,23.910000,23.910000,84245900\n2008-07-08,23.830000,24.660000,23.809999,24.639999,24.639999,34234600\n2008-07-09,24.740000,24.799999,23.820000,23.820000,23.820000,21980400\n2008-07-10,23.760000,24.100000,23.040001,23.500000,23.500000,18501800\n2008-07-11,23.000000,23.889999,22.639999,23.570000,23.570000,23141900\n2008-07-14,23.120001,23.240000,22.219999,22.570000,22.570000,22785000\n2008-07-15,21.790001,22.080000,21.180000,21.540001,21.540001,25740900\n2008-07-16,21.700001,22.600000,21.590000,22.480000,22.480000,20738700\n2008-07-17,23.490000,23.490000,22.410000,22.440001,22.440001,31947900\n2008-07-18,22.549999,22.549999,21.860001,22.450001,22.450001,23375400\n2008-07-21,21.660000,22.190001,21.650000,21.670000,21.670000,24645600\n2008-07-22,21.389999,21.700001,20.850000,21.400000,21.400000,29786500\n2008-07-23,21.910000,22.480000,20.000000,20.389999,20.389999,48279700\n2008-07-24,20.610001,21.059999,20.049999,20.530001,20.530001,24422500\n2008-07-25,20.549999,21.190001,20.280001,21.129999,21.129999,20406200\n2008-07-28,20.990000,21.170000,20.059999,20.120001,20.120001,13733800\n2008-07-29,20.010000,20.340000,19.680000,20.150000,20.150000,17023800\n2008-07-30,20.180000,20.180000,19.959999,20.030001,20.030001,25016800\n2008-07-31,19.889999,20.150000,19.850000,19.889999,19.889999,16621100\n2008-08-01,20.090000,20.120001,19.530001,19.799999,19.799999,19777000\n2008-08-04,19.770000,19.770000,19.209999,19.379999,19.379999,14064400\n2008-08-05,19.700001,19.910000,19.530001,19.820000,19.820000,14415200\n2008-08-06,19.770000,20.180000,19.530001,20.000000,20.000000,14699000\n2008-08-07,19.799999,20.250000,19.639999,20.190001,20.190001,14017500\n2008-08-08,20.190001,20.190001,19.870001,19.900000,19.900000,13640000\n2008-08-11,19.889999,20.280001,19.650000,20.260000,20.260000,12903700\n2008-08-12,20.209999,20.600000,20.040001,20.430000,20.430000,13883700\n2008-08-13,20.330000,20.480000,20.059999,20.360001,20.360001,11954500\n2008-08-14,20.200001,20.570000,20.139999,20.280001,20.280001,11103300\n2008-08-15,20.270000,20.820000,20.270000,20.440001,20.440001,14945100\n2008-08-18,20.469999,20.520000,19.660000,19.730000,19.730000,14867400\n2008-08-19,19.780001,19.910000,19.410000,19.420000,19.420000,12851000\n2008-08-20,19.570000,19.650000,19.100000,19.170000,19.170000,16426500\n2008-08-21,19.059999,19.180000,18.870001,19.110001,19.110001,16995100\n2008-08-22,19.110001,19.680000,19.100000,19.530001,19.530001,11087500\n2008-08-25,19.340000,19.400000,19.049999,19.090000,19.090000,13779300\n2008-08-26,19.120001,19.200001,19.000000,19.090000,19.090000,8770500\n2008-08-27,19.080000,19.450001,18.930000,19.370001,19.370001,9300100\n2008-08-28,19.480000,19.760000,19.379999,19.650000,19.650000,11729500\n2008-08-29,19.540001,19.600000,19.280001,19.379999,19.379999,11204900\n2008-09-02,19.629999,19.770000,18.740000,18.750000,18.750000,16943700\n2008-09-03,18.850000,19.000000,18.700001,18.760000,18.760000,11557100\n2008-09-04,18.709999,18.809999,17.750000,17.750000,17.750000,23892500\n2008-09-05,17.920000,18.340000,17.799999,18.080000,18.080000,17089100\n2008-09-08,18.330000,18.370001,17.870001,18.260000,18.260000,16447400\n2008-09-09,18.139999,18.190001,17.530001,17.580000,17.580000,25271700\n2008-09-10,17.629999,17.790001,17.250000,17.700001,17.700001,19619600\n2008-09-11,17.400000,18.570000,17.330000,18.549999,18.549999,28408000\n2008-09-12,18.430000,19.170000,18.340000,19.080000,19.080000,21301100\n2008-09-15,18.270000,19.139999,18.250000,18.850000,18.850000,32567200\n2008-09-16,18.250000,19.350000,18.240000,19.260000,19.260000,33897000\n2008-09-17,18.969999,19.080000,18.200001,18.820000,18.820000,28819300\n2008-09-18,18.790001,20.820000,18.490000,20.820000,20.820000,37286300\n2008-09-19,20.580000,20.790001,19.270000,19.889999,19.889999,31649100\n2008-09-22,19.600000,19.600000,18.639999,18.680000,18.680000,16911900\n2008-09-23,18.709999,19.129999,18.670000,18.930000,18.930000,20230100\n2008-09-24,18.900000,19.190001,18.820000,19.150000,19.150000,12766200\n2008-09-25,19.090000,19.559999,18.969999,19.200001,19.200001,14512100\n2008-09-26,18.750000,19.250000,18.650000,18.920000,18.920000,14922800\n2008-09-29,18.770000,18.920000,16.879999,16.879999,16.879999,39570300\n2008-09-30,17.150000,17.620001,17.000000,17.299999,17.299999,23672300\n2008-10-01,17.170000,17.309999,16.799999,16.959999,16.959999,13725000\n2008-10-02,16.770000,16.850000,15.540000,15.580000,15.580000,23416200\n2008-10-03,15.810000,16.440001,15.750000,16.000000,16.000000,25824900\n2008-10-06,15.270000,16.070000,14.550000,15.310000,15.310000,42862100\n2008-10-07,15.190000,15.490000,14.530000,14.580000,14.580000,27696400\n2008-10-08,13.800000,14.580000,13.200000,13.760000,13.760000,31651100\n2008-10-09,13.900000,13.900000,12.470000,12.650000,12.650000,40808900\n2008-10-10,12.220000,12.920000,11.960000,12.290000,12.290000,38683200\n2008-10-13,13.140000,13.510000,12.560000,13.490000,13.490000,26049700\n2008-10-14,13.780000,13.930000,12.370000,12.650000,12.650000,26909700\n2008-10-15,12.490000,12.550000,11.750000,11.750000,11.750000,27529900\n2008-10-16,11.900000,13.730000,11.370000,12.990000,12.990000,107674200\n2008-10-17,12.880000,13.500000,12.680000,12.900000,12.900000,38974800\n2008-10-20,13.030000,13.030000,12.330000,12.860000,12.860000,25010600\n2008-10-21,12.620000,12.740000,12.040000,12.070000,12.070000,28385500\n2008-10-22,12.360000,12.840000,12.350000,12.390000,12.390000,35671000\n2008-10-23,12.150000,12.700000,11.550000,12.650000,12.650000,27751300\n2008-10-24,11.310000,12.330000,11.310000,12.100000,12.100000,29718100\n2008-10-27,11.820000,12.190000,11.500000,11.580000,11.580000,16372300\n2008-10-28,11.890000,12.400000,11.250000,12.360000,12.360000,22795700\n2008-10-29,12.200000,12.610000,11.920000,12.140000,12.140000,21443000\n2008-10-30,12.530000,13.180000,12.250000,12.930000,12.930000,26757100\n2008-10-31,13.090000,13.360000,12.710000,12.820000,12.820000,24017600\n2008-11-03,12.740000,12.890000,12.550000,12.750000,12.750000,10385600\n2008-11-04,13.050000,13.490000,12.840000,13.350000,13.350000,24980000\n2008-11-05,13.210000,14.840000,13.150000,13.920000,13.920000,71264100\n2008-11-06,14.840000,14.890000,13.750000,13.960000,13.960000,44431700\n2008-11-07,12.450000,12.500000,11.650000,12.200000,12.200000,47280400\n2008-11-10,12.370000,12.400000,11.570000,11.870000,11.870000,16708100\n2008-11-11,11.560000,11.670000,11.060000,11.350000,11.350000,33294600\n2008-11-12,11.010000,11.340000,10.020000,10.340000,10.340000,29046700\n2008-11-13,10.320000,11.170000,9.760000,11.150000,11.150000,25212700\n2008-11-14,10.840000,11.500000,10.630000,10.820000,10.820000,19072400\n2008-11-17,10.500000,10.940000,10.320000,10.630000,10.630000,14601400\n2008-11-18,11.930000,12.400000,11.000000,11.550000,11.550000,51671000\n2008-11-19,11.540000,11.580000,9.070000,9.140000,9.140000,57680800\n2008-11-20,9.100000,10.010000,8.940000,8.950000,8.950000,37311800\n2008-11-21,9.280000,9.480000,8.950000,9.390000,9.390000,29895300\n2008-11-24,9.560000,10.270000,9.420000,10.210000,10.210000,22452600\n2008-11-25,10.120000,10.200000,9.830000,10.070000,10.070000,16889200\n2008-11-26,9.930000,10.580000,9.920000,10.580000,10.580000,13640000\n2008-11-28,10.760000,11.590000,10.650000,11.510000,11.510000,12397600\n2008-12-01,11.820000,11.980000,10.730000,10.740000,10.740000,26242500\n2008-12-02,10.810000,12.500000,10.500000,11.500000,11.500000,46254900\n2008-12-03,11.120000,11.500000,10.740000,11.500000,11.500000,24094600\n2008-12-04,11.380000,11.480000,10.700000,11.050000,11.050000,18447800\n2008-12-05,10.960000,11.700000,10.620000,11.660000,11.660000,19973900\n2008-12-08,12.170000,12.490000,11.790000,12.200000,12.200000,33782200\n2008-12-09,11.900000,12.540000,11.770000,12.190000,12.190000,28943400\n2008-12-10,12.670000,13.570000,12.350000,13.400000,13.400000,46696000\n2008-12-11,13.160000,13.360000,12.570000,12.730000,12.730000,26528700\n2008-12-12,12.310000,13.230000,12.150000,13.150000,13.150000,24636700\n2008-12-15,13.100000,13.290000,12.550000,12.730000,12.730000,20131100\n2008-12-16,12.880000,13.480000,12.880000,13.360000,13.360000,18544100\n2008-12-17,13.000000,13.430000,12.830000,13.110000,13.110000,12783000\n2008-12-18,13.130000,13.270000,12.700000,12.720000,12.720000,14997900\n2008-12-19,12.920000,13.320000,12.720000,13.030000,13.030000,17551900\n2008-12-22,13.030000,13.080000,12.000000,12.350000,12.350000,12946400\n2008-12-23,12.470000,12.650000,12.250000,12.420000,12.420000,7474700\n2008-12-24,12.410000,12.480000,12.290000,12.320000,12.320000,2500100\n2008-12-26,12.300000,12.380000,12.180000,12.340000,12.340000,3873900\n2008-12-29,12.460000,12.460000,11.450000,11.880000,11.880000,9913500\n2008-12-30,11.910000,12.000000,11.720000,11.970000,11.970000,7480600\n2008-12-31,11.950000,12.300000,11.920000,12.200000,12.200000,9085500\n2009-01-02,12.170000,12.850000,12.120000,12.850000,12.850000,9514600\n2009-01-05,12.720000,13.010000,12.390000,12.860000,12.860000,11989900\n2009-01-06,12.960000,13.240000,12.880000,13.000000,13.000000,10056000\n2009-01-07,12.710000,13.160000,12.450000,12.710000,12.710000,24995900\n2009-01-08,12.370000,13.070000,12.310000,13.070000,13.070000,14355000\n2009-01-09,13.420000,13.560000,12.900000,13.130000,13.130000,19281000\n2009-01-12,13.090000,13.100000,12.080000,12.220000,12.220000,19976900\n2009-01-13,12.090000,12.790000,11.780000,12.100000,12.100000,25720400\n2009-01-14,12.260000,12.530000,11.810000,12.410000,12.410000,23595200\n2009-01-15,12.320000,12.350000,11.220000,11.610000,11.610000,25247500\n2009-01-16,11.870000,11.970000,11.440000,11.590000,11.590000,24783700\n2009-01-20,11.720000,11.800000,11.010000,11.010000,11.010000,18692000\n2009-01-21,11.170000,11.590000,11.080000,11.590000,11.590000,15892200\n2009-01-22,11.350000,11.510000,10.900000,11.280000,11.280000,17201700\n2009-01-23,10.900000,11.550000,10.860000,11.320000,11.320000,15864000\n2009-01-26,11.260000,11.280000,10.810000,11.170000,11.170000,16469800\n2009-01-27,11.200000,11.370000,10.850000,11.340000,11.340000,33708200\n2009-01-28,12.230000,12.380000,11.920000,12.240000,12.240000,35686800\n2009-01-29,12.020000,12.240000,11.730000,11.740000,11.740000,22124100\n2009-01-30,11.860000,12.150000,11.510000,11.730000,11.730000,21508900\n2009-02-02,11.500000,12.320000,11.490000,12.150000,12.150000,21223000\n2009-02-03,12.300000,12.710000,12.010000,12.680000,12.680000,18669700\n2009-02-04,12.670000,13.230000,12.550000,13.000000,13.000000,22933800\n2009-02-05,12.930000,13.520000,12.850000,13.510000,13.510000,17566800\n2009-02-06,13.410000,13.840000,13.200000,13.630000,13.630000,17594600\n2009-02-09,13.590000,14.000000,13.470000,13.900000,13.900000,15686200\n2009-02-10,13.540000,13.900000,12.720000,12.750000,12.750000,24148400\n2009-02-11,12.870000,12.910000,12.380000,12.630000,12.630000,13726600\n2009-02-12,12.500000,12.660000,12.140000,12.660000,12.660000,15452500\n2009-02-13,12.670000,12.990000,12.590000,12.840000,12.840000,11139300\n2009-02-17,12.310000,12.580000,12.010000,12.020000,12.020000,15708400\n2009-02-18,12.120000,12.530000,12.070000,12.220000,12.220000,12434300\n2009-02-19,12.350000,12.590000,11.930000,11.980000,11.980000,12537600\n2009-02-20,11.900000,12.270000,11.750000,12.140000,12.140000,16485500\n2009-02-23,12.200000,12.350000,11.830000,11.970000,11.970000,16517300\n2009-02-24,12.570000,12.860000,12.270000,12.750000,12.750000,22529300\n2009-02-25,12.450000,12.790000,12.300000,12.480000,12.480000,16195700\n2009-02-26,12.880000,13.390000,12.740000,12.980000,12.980000,26571900\n2009-02-27,12.660000,13.330000,12.610000,13.230000,13.230000,20392600\n2009-03-02,12.850000,12.970000,12.470000,12.580000,12.580000,20934900\n2009-03-03,12.790000,12.870000,12.310000,12.500000,12.500000,16509700\n2009-03-04,12.720000,13.490000,12.510000,13.160000,13.160000,24076200\n2009-03-05,12.770000,13.070000,12.480000,12.530000,12.530000,18477000\n2009-03-06,12.600000,13.180000,12.520000,13.050000,13.050000,30994200\n2009-03-09,12.850000,13.450000,12.550000,12.660000,12.660000,23119700\n2009-03-10,12.810000,13.400000,12.750000,13.230000,13.230000,22730900\n2009-03-11,13.310000,13.500000,13.030000,13.390000,13.390000,17505000\n2009-03-12,13.350000,13.600000,13.100000,13.600000,13.600000,16682500\n2009-03-13,13.580000,13.640000,13.270000,13.510000,13.510000,12522600\n2009-03-16,13.660000,13.660000,13.200000,13.220000,13.220000,19448800\n2009-03-17,13.350000,14.040000,13.220000,13.990000,13.990000,16719400\n2009-03-18,13.810000,13.950000,13.230000,13.420000,13.420000,26324300\n2009-03-19,13.680000,14.140000,13.610000,13.740000,13.740000,25954300\n2009-03-20,13.630000,13.870000,13.510000,13.600000,13.600000,22079300\n2009-03-23,13.790000,14.120000,13.620000,14.090000,14.090000,18200000\n2009-03-24,13.980000,14.020000,13.560000,13.630000,13.630000,17293600\n2009-03-25,13.690000,13.880000,13.350000,13.550000,13.550000,16746400\n2009-03-26,13.550000,13.610000,13.000000,13.350000,13.350000,24223400\n2009-03-27,13.170000,13.610000,13.120000,13.180000,13.180000,22426200\n2009-03-30,12.930000,13.140000,12.510000,12.700000,12.700000,16558800\n2009-03-31,12.760000,13.100000,12.670000,12.810000,12.810000,12066000\n2009-04-01,12.700000,13.120000,12.600000,12.750000,12.750000,14540400\n2009-04-02,13.040000,13.140000,12.800000,12.950000,12.950000,28823100\n2009-04-03,12.950000,13.390000,12.780000,13.340000,13.340000,18534900\n2009-04-06,13.080000,13.240000,12.990000,13.230000,13.230000,11935700\n2009-04-07,13.000000,13.100000,12.680000,12.810000,12.810000,12306400\n2009-04-08,12.900000,13.010000,12.750000,12.920000,12.920000,11241000\n2009-04-09,13.140000,13.590000,13.070000,13.470000,13.470000,17285800\n2009-04-13,14.020000,14.540000,13.860000,14.420000,14.420000,35067600\n2009-04-14,14.400000,14.420000,14.000000,14.070000,14.070000,15151700\n2009-04-15,13.930000,14.090000,13.770000,14.020000,14.020000,12383200\n2009-04-16,14.150000,14.530000,14.050000,14.430000,14.430000,19156500\n2009-04-17,14.430000,14.520000,14.030000,14.390000,14.390000,19800400\n2009-04-20,14.160000,14.250000,13.600000,13.660000,13.660000,13470500\n2009-04-21,13.940000,14.590000,13.710000,14.380000,14.380000,54237700\n2009-04-22,14.620000,15.390000,14.410000,14.480000,14.480000,65407800\n2009-04-23,14.560000,14.740000,14.110000,14.550000,14.550000,32943200\n2009-04-24,14.790000,14.940000,14.360000,14.730000,14.730000,25803000\n2009-04-27,14.480000,14.550000,13.880000,13.890000,13.890000,22640600\n2009-04-28,13.740000,14.050000,13.600000,13.640000,13.640000,18856500\n2009-04-29,13.700000,14.350000,13.700000,14.020000,14.020000,16570900\n2009-04-30,14.120000,14.600000,14.120000,14.290000,14.290000,25883300\n2009-05-01,14.500000,14.500000,13.910000,14.140000,14.140000,23721700\n2009-05-04,14.200000,14.250000,13.960000,14.180000,14.180000,25094600\n2009-05-05,14.550000,14.990000,14.180000,14.740000,14.740000,35233200\n2009-05-06,14.800000,15.000000,14.520000,14.850000,14.850000,19105800\n2009-05-07,15.030000,15.100000,14.380000,14.800000,14.800000,24328500\n2009-05-08,14.880000,15.300000,14.700000,15.150000,15.150000,22461200\n2009-05-11,14.900000,15.830000,14.810000,15.540000,15.540000,39492400\n2009-05-12,15.500000,15.500000,14.900000,15.100000,15.100000,31403300\n2009-05-13,14.920000,14.950000,14.500000,14.520000,14.520000,23585400\n2009-05-14,14.500000,14.860000,14.400000,14.760000,14.760000,20841800\n2009-05-15,15.000000,15.100000,14.860000,14.910000,14.910000,22525900\n2009-05-18,15.100000,15.180000,14.740000,15.170000,15.170000,18629500\n2009-05-19,15.060000,15.340000,15.020000,15.180000,15.180000,13676000\n2009-05-20,15.080000,15.310000,14.800000,14.960000,14.960000,15781600\n2009-05-21,14.920000,15.120000,14.620000,14.870000,14.870000,15186800\n2009-05-22,14.890000,15.170000,14.750000,14.980000,14.980000,19150500\n2009-05-26,14.680000,15.440000,14.670000,15.280000,15.280000,19953000\n2009-05-27,15.270000,15.530000,14.880000,14.940000,14.940000,18977400\n2009-05-28,15.090000,15.240000,14.690000,15.090000,15.090000,19131600\n2009-05-29,15.190000,15.840000,15.110000,15.840000,15.840000,29557500\n2009-06-01,16.170000,16.650000,16.129999,16.580000,16.580000,27926100\n2009-06-02,16.600000,16.750000,16.250000,16.620001,16.620001,15286700\n2009-06-03,16.500000,16.500000,15.670000,16.299999,16.299999,26358100\n2009-06-04,16.400000,16.709999,16.040001,16.650000,16.650000,19001400\n2009-06-05,16.770000,16.990000,16.299999,16.639999,16.639999,17311400\n2009-06-08,16.469999,16.490000,16.040001,16.190001,16.190001,13692600\n2009-06-09,16.230000,16.500000,16.180000,16.400000,16.400000,13083200\n2009-06-10,16.700001,16.719999,16.100000,16.320000,16.320000,15771200\n2009-06-11,16.260000,16.459999,16.150000,16.190001,16.190001,15042300\n2009-06-12,16.170000,16.469999,16.100000,16.400000,16.400000,16962900\n2009-06-15,16.559999,16.680000,16.129999,16.400000,16.400000,23251700\n2009-06-16,16.330000,16.379999,15.900000,15.960000,15.960000,15116000\n2009-06-17,15.910000,16.030001,15.460000,15.600000,15.600000,16521300\n2009-06-18,15.620000,15.640000,15.230000,15.340000,15.340000,16185400\n2009-06-19,15.500000,15.840000,15.400000,15.800000,15.800000,20323100\n2009-06-22,15.550000,15.610000,14.710000,14.710000,14.710000,26488700\n2009-06-23,14.750000,14.900000,14.550000,14.680000,14.680000,15866300\n2009-06-24,14.760000,15.600000,14.760000,15.450000,15.450000,30979700\n2009-06-25,15.440000,15.670000,15.250000,15.530000,15.530000,19827800\n2009-06-26,15.600000,15.800000,15.480000,15.740000,15.740000,26449100\n2009-06-29,15.860000,16.010000,15.600000,15.900000,15.900000,12324000\n2009-06-30,15.850000,15.900000,15.350000,15.660000,15.660000,16033900\n2009-07-01,15.490000,15.690000,15.350000,15.410000,15.410000,12716100\n2009-07-02,15.240000,15.280000,14.880000,14.990000,14.990000,16919900\n2009-07-06,14.830000,14.930000,14.550000,14.910000,14.910000,13690700\n2009-07-07,14.920000,14.930000,14.360000,14.440000,14.440000,22021700\n2009-07-08,14.440000,14.690000,14.220000,14.380000,14.380000,15352700\n2009-07-09,14.480000,14.680000,14.250000,14.550000,14.550000,15598200\n2009-07-10,14.780000,15.180000,14.750000,14.930000,14.930000,23061200\n2009-07-13,14.950000,15.060000,14.640000,15.010000,15.010000,13174400\n2009-07-14,15.070000,15.220000,14.980000,15.180000,15.180000,13039500\n2009-07-15,15.230000,15.740000,15.150000,15.710000,15.710000,18813600\n2009-07-16,15.800000,16.250000,15.780000,16.190001,16.190001,21919500\n2009-07-17,16.750000,16.910000,16.450001,16.840000,16.840000,32514700\n2009-07-20,17.180000,17.430000,16.650000,17.010000,17.010000,27760800\n2009-07-21,17.049999,17.110001,16.440001,16.750000,16.750000,33601800\n2009-07-22,16.190001,17.480000,16.120001,17.370001,17.370001,53615500\n2009-07-23,17.410000,17.680000,17.160000,17.360001,17.360001,37524900\n2009-07-24,17.430000,17.590000,17.020000,17.480000,17.480000,19944700\n2009-07-27,17.370001,17.480000,16.850000,17.000000,17.000000,19951800\n2009-07-28,16.969999,17.490000,16.520000,17.219999,17.219999,36152600\n2009-07-29,16.000000,16.200001,15.050000,15.140000,15.140000,126807700\n2009-07-30,15.130000,15.140000,14.240000,14.600000,14.600000,100889000\n2009-07-31,14.720000,14.890000,14.290000,14.320000,14.320000,62659900\n2009-08-03,14.560000,14.620000,14.300000,14.340000,14.340000,43976900\n2009-08-04,14.440000,14.680000,14.370000,14.510000,14.510000,43084800\n2009-08-05,14.760000,14.910000,14.610000,14.670000,14.670000,50910100\n2009-08-06,14.760000,14.860000,14.630000,14.740000,14.740000,35659500\n2009-08-07,14.860000,14.900000,14.560000,14.620000,14.620000,28261000\n2009-08-10,14.660000,14.680000,14.490000,14.630000,14.630000,18350900\n2009-08-11,14.540000,14.650000,14.330000,14.460000,14.460000,17823200\n2009-08-12,14.470000,14.760000,14.410000,14.680000,14.680000,24256200\n2009-08-13,14.740000,15.070000,14.610000,15.040000,15.040000,40193000\n2009-08-14,14.980000,15.140000,14.850000,15.040000,15.040000,28817100\n2009-08-17,14.690000,14.780000,14.510000,14.560000,14.560000,29268300\n2009-08-18,14.640000,14.780000,14.560000,14.750000,14.750000,14797300\n2009-08-19,14.580000,14.910000,14.550000,14.790000,14.790000,15501500\n2009-08-20,14.750000,14.900000,14.700000,14.770000,14.770000,15579900\n2009-08-21,14.880000,14.960000,14.730000,14.790000,14.790000,23537700\n2009-08-24,14.890000,15.190000,14.830000,14.990000,14.990000,26171000\n2009-08-25,15.120000,15.210000,14.940000,15.070000,15.070000,22850600\n2009-08-26,15.090000,15.140000,14.860000,14.930000,14.930000,15845300\n2009-08-27,14.920000,15.000000,14.710000,14.930000,14.930000,30411000\n2009-08-28,14.980000,15.080000,14.800000,14.850000,14.850000,33918200\n2009-08-31,14.740000,14.800000,14.560000,14.610000,14.610000,15420500\n2009-09-01,14.500000,14.680000,14.150000,14.180000,14.180000,30615300\n2009-09-02,14.080000,14.330000,13.970000,14.230000,14.230000,23591500\n2009-09-03,14.360000,14.430000,14.160000,14.280000,14.280000,14661900\n2009-09-04,14.260000,14.640000,14.230000,14.500000,14.500000,17003900\n2009-09-08,14.650000,14.660000,14.370000,14.490000,14.490000,17712200\n2009-09-09,14.450000,14.860000,14.420000,14.780000,14.780000,19096300\n2009-09-10,15.280000,15.630000,15.150000,15.450000,15.450000,49083300\n2009-09-11,15.530000,15.680000,15.410000,15.590000,15.590000,26860700\n2009-09-14,15.450000,15.580000,15.280000,15.570000,15.570000,19451200\n2009-09-15,16.010000,16.490000,15.870000,16.410000,16.410000,64668200\n2009-09-16,16.570000,17.110001,16.520000,16.990000,16.990000,53594700\n2009-09-17,17.000000,17.790001,16.959999,17.500000,17.500000,62010000\n2009-09-18,17.700001,17.700001,16.850000,17.389999,17.389999,86402600\n2009-09-21,17.230000,17.230000,16.959999,17.040001,17.040001,26826900\n2009-09-22,17.170000,17.219999,16.750000,16.860001,16.860001,30588800\n2009-09-23,17.100000,17.600000,16.969999,17.209999,17.209999,36814300\n2009-09-24,17.309999,17.320000,16.650000,16.889999,16.889999,26493700\n2009-09-25,16.799999,17.150000,16.750000,17.080000,17.080000,20701400\n2009-09-28,16.980000,17.469999,16.950001,17.469999,17.469999,26412200\n2009-09-29,17.500000,17.660000,17.209999,17.450001,17.450001,31600100\n2009-09-30,17.480000,17.940001,17.240000,17.809999,17.809999,39878200\n2009-10-01,17.650000,17.719999,17.200001,17.389999,17.389999,24871600\n2009-10-02,17.230000,17.350000,16.780001,16.840000,16.840000,32685300\n2009-10-05,16.850000,17.129999,16.660000,16.799999,16.799999,22224900\n2009-10-06,16.959999,17.350000,16.950001,17.299999,17.299999,21427600\n2009-10-07,17.219999,17.490000,17.150000,17.490000,17.490000,12456700\n2009-10-08,17.629999,17.860001,17.540001,17.580000,17.580000,27966900\n2009-10-09,17.430000,17.480000,16.840000,16.870001,16.870001,29015700\n2009-10-12,16.959999,17.110001,16.660000,16.750000,16.750000,16904700\n2009-10-13,16.950001,17.000000,16.809999,16.879999,16.879999,19492500\n2009-10-14,16.930000,17.030001,16.820000,16.950001,16.950001,17508000\n2009-10-15,16.840000,16.889999,16.459999,16.520000,16.520000,24337300\n2009-10-16,16.610001,16.850000,16.400000,16.809999,16.809999,20479000\n2009-10-19,16.799999,17.290001,16.700001,17.219999,17.219999,17878000\n2009-10-20,17.370001,17.410000,16.870001,17.170000,17.170000,38320400\n2009-10-21,17.980000,18.020000,17.570000,17.660000,17.660000,46204500\n2009-10-22,17.540001,17.750000,17.299999,17.670000,17.670000,16018100\n2009-10-23,17.709999,17.750000,17.090000,17.219999,17.219999,17760400\n2009-10-26,17.049999,17.200001,16.670000,16.870001,16.870001,21213100\n2009-10-27,16.690001,16.870001,16.350000,16.690001,16.690001,19917800\n2009-10-28,16.690001,16.770000,16.020000,16.040001,16.040001,25044800\n2009-10-29,16.190001,16.379999,15.740000,16.129999,16.129999,39146700\n2009-10-30,16.059999,16.370001,15.800000,15.900000,15.900000,22321700\n2009-11-02,15.750000,15.900000,15.590000,15.850000,15.850000,15258200\n2009-11-03,15.710000,15.790000,15.630000,15.700000,15.700000,17240200\n2009-11-04,15.900000,15.900000,15.660000,15.690000,15.690000,18697100\n2009-11-05,15.800000,16.000000,15.740000,15.900000,15.900000,27732500\n2009-11-06,15.890000,16.030001,15.760000,15.940000,15.940000,13562500\n2009-11-09,16.129999,16.190001,15.970000,16.020000,16.020000,14831900\n2009-11-10,16.080000,16.360001,16.010000,16.040001,16.040001,24097400\n2009-11-11,16.000000,16.160000,15.920000,16.090000,16.090000,16346100\n2009-11-12,16.100000,16.280001,15.970000,16.000000,16.000000,10210100\n2009-11-13,16.040001,16.100000,15.920000,15.930000,15.930000,26453800\n2009-11-16,16.080000,16.190001,15.920000,16.070000,16.070000,26125200\n2009-11-17,15.890000,16.110001,15.730000,16.049999,16.049999,22249500\n2009-11-18,16.020000,16.129999,15.840000,15.980000,15.980000,12775400\n2009-11-19,15.830000,15.850000,15.520000,15.610000,15.610000,26891000\n2009-11-20,15.600000,15.740000,15.360000,15.380000,15.380000,16127300\n2009-11-23,15.580000,15.650000,15.340000,15.450000,15.450000,24501400\n2009-11-24,15.380000,15.490000,15.200000,15.240000,15.240000,19774000\n2009-11-25,15.290000,15.350000,15.170000,15.300000,15.300000,21370600\n2009-11-27,15.040000,15.090000,14.880000,15.000000,15.000000,11452900\n2009-11-30,14.900000,15.100000,14.800000,14.970000,14.970000,17587000\n2009-12-01,15.030000,15.190000,14.850000,15.130000,15.130000,17096500\n2009-12-02,15.170000,15.500000,15.160000,15.310000,15.310000,17807800\n2009-12-03,15.330000,15.380000,15.100000,15.110000,15.110000,17196200\n2009-12-04,15.320000,15.380000,15.000000,15.190000,15.190000,17576000\n2009-12-07,15.360000,15.650000,15.320000,15.450000,15.450000,18035200\n2009-12-08,15.450000,15.900000,15.230000,15.450000,15.450000,31160600\n2009-12-09,15.520000,15.540000,15.120000,15.180000,15.180000,25396900\n2009-12-10,15.340000,15.570000,15.240000,15.490000,15.490000,18743000\n2009-12-11,15.850000,15.900000,15.620000,15.740000,15.740000,22607500\n2009-12-14,15.900000,15.970000,15.640000,15.810000,15.810000,18086300\n2009-12-15,15.770000,15.880000,15.650000,15.740000,15.740000,13272900\n2009-12-16,15.570000,15.820000,15.470000,15.790000,15.790000,20637500\n2009-12-17,15.720000,15.960000,15.640000,15.820000,15.820000,26156700\n2009-12-18,15.940000,16.139999,15.780000,16.139999,16.139999,30021100\n2009-12-21,16.110001,16.170000,15.850000,15.880000,15.880000,17806100\n2009-12-22,15.880000,16.080000,15.820000,15.980000,15.980000,10631600\n2009-12-23,16.350000,16.700001,16.000000,16.670000,16.670000,23584100\n2009-12-24,16.690001,16.750000,16.650000,16.719999,16.719999,4736600\n2009-12-28,16.740000,16.940001,16.680000,16.879999,16.879999,11504300\n2009-12-29,16.840000,16.969999,16.680000,16.920000,16.920000,13450200\n2009-12-30,16.830000,16.990000,16.809999,16.980000,16.980000,8188000\n2009-12-31,16.920000,16.959999,16.770000,16.780001,16.780001,9515600\n2010-01-04,16.940001,17.200001,16.879999,17.100000,17.100000,16587400\n2010-01-05,17.219999,17.230000,17.000000,17.230000,17.230000,11718100\n2010-01-06,17.170000,17.299999,17.070000,17.170000,17.170000,16422000\n2010-01-07,16.809999,16.900000,16.570000,16.700001,16.700001,31816300\n2010-01-08,16.680000,16.760000,16.620001,16.700001,16.700001,15470000\n2010-01-11,16.770000,16.830000,16.480000,16.740000,16.740000,16181900\n2010-01-12,16.650000,16.860001,16.600000,16.680000,16.680000,15672400\n2010-01-13,16.879999,16.980000,16.650000,16.900000,16.900000,16955600\n2010-01-14,16.809999,17.230000,16.799999,17.120001,17.120001,16715600\n2010-01-15,17.250000,17.250000,16.750000,16.820000,16.820000,18415000\n2010-01-19,16.780001,16.959999,16.639999,16.750000,16.750000,15182600\n2010-01-20,16.650000,16.680000,16.250000,16.379999,16.379999,14419500\n2010-01-21,16.389999,16.580000,16.100000,16.200001,16.200001,21858400\n2010-01-22,16.080000,16.209999,15.810000,15.880000,15.880000,25132800\n2010-01-25,16.070000,16.110001,15.740000,15.860000,15.860000,19683700\n2010-01-26,15.820000,16.170000,15.700000,15.990000,15.990000,43979400\n2010-01-27,16.459999,16.490000,15.770000,15.980000,15.980000,41701000\n2010-01-28,15.930000,15.960000,15.440000,15.440000,15.440000,30159500\n2010-01-29,15.510000,15.670000,14.900000,15.010000,15.010000,39664600\n2010-02-01,15.140000,15.300000,14.870000,15.050000,15.050000,29865700\n2010-02-02,15.100000,15.320000,15.030000,15.170000,15.170000,27555200\n2010-02-03,15.120000,15.600000,15.120000,15.460000,15.460000,24730600\n2010-02-04,15.340000,15.520000,14.990000,15.010000,15.010000,27668100\n2010-02-05,15.010000,15.250000,14.920000,15.190000,15.190000,20713800\n2010-02-08,15.180000,15.470000,14.950000,14.990000,14.990000,19856400\n2010-02-09,15.200000,15.240000,14.940000,15.070000,15.070000,16716900\n2010-02-10,15.020000,15.020000,14.480000,14.800000,14.800000,36518100\n2010-02-11,14.870000,15.250000,14.770000,15.220000,15.220000,24509500\n2010-02-12,15.070000,15.190000,14.850000,15.170000,15.170000,18926400\n2010-02-16,15.230000,15.480000,15.180000,15.410000,15.410000,21447200\n2010-02-17,15.500000,15.520000,15.320000,15.440000,15.440000,12731900\n2010-02-18,15.400000,15.600000,15.320000,15.540000,15.540000,13700100\n2010-02-19,15.490000,15.710000,15.330000,15.580000,15.580000,15407900\n2010-02-22,15.610000,15.680000,15.440000,15.490000,15.490000,10463500\n2010-02-23,15.450000,15.510000,15.140000,15.380000,15.380000,18346700\n2010-02-24,15.480000,15.710000,15.330000,15.590000,15.590000,19284200\n2010-02-25,15.320000,15.350000,15.130000,15.240000,15.240000,20126900\n2010-02-26,15.270000,15.410000,15.160000,15.310000,15.310000,14975600\n2010-03-01,15.430000,15.830000,15.400000,15.790000,15.790000,17238000\n2010-03-02,15.870000,15.960000,15.670000,15.730000,15.730000,20101800\n2010-03-03,15.850000,15.850000,15.550000,15.570000,15.570000,20613800\n2010-03-04,15.550000,15.850000,15.520000,15.810000,15.810000,22906000\n2010-03-05,15.890000,16.379999,15.890000,16.059999,16.059999,21415000\n2010-03-08,16.320000,16.610001,16.299999,16.520000,16.520000,30554000\n2010-03-09,16.410000,16.719999,16.400000,16.530001,16.530001,20755200\n2010-03-10,16.510000,16.940001,16.510000,16.790001,16.790001,33088600\n2010-03-11,16.570000,16.650000,16.100000,16.530001,16.530001,21732900\n2010-03-12,16.510000,16.590000,16.260000,16.320000,16.320000,23106400\n2010-03-15,16.350000,16.639999,16.280001,16.459999,16.459999,18967700\n2010-03-16,16.469999,16.590000,16.230000,16.360001,16.360001,18309900\n2010-03-17,16.280001,16.629999,16.280001,16.500000,16.500000,13754600\n2010-03-18,16.459999,16.570000,16.320000,16.559999,16.559999,12626200\n2010-03-19,16.620001,16.809999,16.340000,16.440001,16.440001,17871000\n2010-03-22,16.370001,16.540001,16.320000,16.340000,16.340000,18743500\n2010-03-23,16.340000,16.340000,15.970000,16.030001,16.030001,31875700\n2010-03-24,16.100000,16.200001,15.920000,16.090000,16.090000,32654500\n2010-03-25,16.170000,16.590000,16.139999,16.320000,16.320000,27487400\n2010-03-26,16.340000,16.570000,16.309999,16.540001,16.540001,23224900\n2010-03-29,16.480000,16.680000,16.469999,16.559999,16.559999,14902800\n2010-03-30,16.549999,16.690001,16.389999,16.610001,16.610001,16204100\n2010-03-31,16.450001,16.580000,16.420000,16.530001,16.530001,11996900\n2010-04-01,16.580000,16.600000,16.219999,16.290001,16.290001,20103800\n2010-04-05,16.389999,16.559999,16.299999,16.510000,16.510000,9220200\n2010-04-06,16.549999,16.980000,16.420000,16.920000,16.920000,25696700\n2010-04-07,16.780001,16.920000,16.760000,16.870001,16.870001,19921000\n2010-04-08,16.910000,17.410000,16.900000,17.350000,17.350000,45369200\n2010-04-09,17.420000,18.070000,17.250000,17.520000,17.520000,47732000\n2010-04-12,17.520000,17.879999,17.410000,17.639999,17.639999,22828900\n2010-04-13,17.510000,18.299999,17.400000,18.180000,18.180000,47514500\n2010-04-14,18.150000,18.469999,18.059999,18.379999,18.379999,41024800\n2010-04-15,18.299999,19.120001,18.129999,18.969999,18.969999,60024700\n2010-04-16,18.670000,18.680000,17.959999,18.170000,18.170000,51424700\n2010-04-19,18.010000,18.400000,17.990000,18.389999,18.389999,26971800\n2010-04-20,18.500000,18.530001,18.230000,18.379999,18.379999,39171900\n2010-04-21,17.580000,17.780001,17.299999,17.450001,17.450001,71686200\n2010-04-22,17.370001,17.780001,17.150000,17.719999,17.719999,36231400\n2010-04-23,17.709999,17.830000,17.500000,17.639999,17.639999,18901000\n2010-04-26,17.690001,17.719999,17.340000,17.389999,17.389999,17363800\n2010-04-27,17.280001,17.360001,16.879999,16.920000,16.920000,22851000\n2010-04-28,16.980000,17.000000,16.629999,16.750000,16.750000,26452500\n2010-04-29,16.820000,17.049999,16.780001,16.969999,16.969999,16788100\n2010-04-30,17.110001,17.129999,16.530001,16.530001,16.530001,19688200\n2010-05-03,16.680000,16.990000,16.559999,16.950001,16.950001,18162400\n2010-05-04,16.629999,16.900000,16.250000,16.320000,16.320000,31375300\n2010-05-05,16.170000,16.700001,16.110001,16.490000,16.490000,23004200\n2010-05-06,16.340000,16.510000,15.430000,15.920000,15.920000,32125800\n2010-05-07,15.770000,15.950000,15.250000,15.290000,15.290000,43941000\n2010-05-10,16.040001,16.830000,16.000000,16.330000,16.330000,28103500\n2010-05-11,15.950000,16.639999,15.910000,16.410000,16.410000,27786500\n2010-05-12,16.450001,16.500000,16.330000,16.469999,16.469999,16405900\n2010-05-13,16.490000,16.500000,16.080000,16.139999,16.139999,15363800\n2010-05-14,16.510000,16.660000,16.139999,16.389999,16.389999,28111400\n2010-05-17,16.410000,16.469999,15.960000,16.270000,16.270000,21935000\n2010-05-18,16.270000,16.440001,15.950000,16.030001,16.030001,16182200\n2010-05-19,15.830000,16.000000,15.510000,15.790000,15.790000,20485400\n2010-05-20,15.450000,15.490000,15.060000,15.100000,15.100000,33789000\n2010-05-21,14.810000,15.900000,14.630000,15.480000,15.480000,31215300\n2010-05-24,15.420000,15.790000,15.360000,15.540000,15.540000,20116800\n2010-05-25,15.040000,15.310000,14.890000,15.310000,15.310000,27856300\n2010-05-26,15.600000,15.830000,15.430000,15.450000,15.450000,33656000\n2010-05-27,15.830000,15.840000,15.360000,15.690000,15.690000,31091700\n2010-05-28,15.610000,15.690000,15.000000,15.340000,15.340000,17619700\n2010-06-01,15.310000,15.550000,14.980000,15.020000,15.020000,30475500\n2010-06-02,15.040000,15.200000,14.960000,15.180000,15.180000,24993000\n2010-06-03,15.320000,15.500000,15.160000,15.430000,15.430000,28395100\n2010-06-04,15.120000,15.380000,14.960000,15.000000,15.000000,23606400\n2010-06-07,15.190000,15.360000,14.940000,14.940000,14.940000,19153200\n2010-06-08,15.050000,15.120000,14.620000,14.790000,14.790000,35500700\n2010-06-09,14.930000,15.060000,14.650000,14.690000,14.690000,18108600\n2010-06-10,14.940000,15.140000,14.870000,15.100000,15.100000,21249100\n2010-06-11,15.020000,15.350000,14.980000,15.290000,15.290000,14056600\n2010-06-14,15.460000,15.490000,15.150000,15.170000,15.170000,12493100\n2010-06-15,15.290000,15.690000,15.230000,15.650000,15.650000,13888300\n2010-06-16,15.580000,15.650000,15.340000,15.490000,15.490000,15920300\n2010-06-17,15.720000,15.720000,15.440000,15.600000,15.600000,10769300\n2010-06-18,15.660000,15.670000,15.470000,15.540000,15.540000,12767100\n2010-06-21,15.710000,15.840000,15.090000,15.210000,15.210000,20412800\n2010-06-22,15.240000,15.510000,15.070000,15.090000,15.090000,22418100\n2010-06-23,15.140000,15.390000,14.950000,15.230000,15.230000,13374000\n2010-06-24,15.110000,15.190000,14.700000,14.830000,14.830000,18287700\n2010-06-25,14.860000,14.920000,14.570000,14.810000,14.810000,29817600\n2010-06-28,14.830000,14.860000,14.580000,14.730000,14.730000,8175400\n2010-06-29,14.530000,14.540000,13.880000,14.040000,14.040000,31825900\n2010-06-30,13.950000,14.220000,13.790000,13.840000,13.840000,23912900\n2010-07-01,13.990000,14.150000,13.750000,14.090000,14.090000,33222500\n2010-07-02,14.080000,14.240000,14.030000,14.070000,14.070000,18564400\n2010-07-06,14.230000,14.460000,14.000000,14.130000,14.130000,17334100\n2010-07-07,14.180000,14.420000,14.120000,14.400000,14.400000,17417900\n2010-07-08,14.430000,14.770000,14.400000,14.600000,14.600000,17088700\n2010-07-09,14.600000,14.930000,14.590000,14.890000,14.890000,12682000\n2010-07-12,14.930000,15.210000,14.780000,14.940000,14.940000,15585900\n2010-07-13,15.060000,15.600000,14.990000,15.520000,15.520000,22328800\n2010-07-14,15.320000,15.420000,15.200000,15.370000,15.370000,12255700\n2010-07-15,15.310000,15.390000,15.040000,15.370000,15.370000,12626600\n2010-07-16,15.330000,15.370000,13.860000,14.900000,14.900000,16829800\n2010-07-19,15.230000,15.380000,15.020000,15.100000,15.100000,16168200\n2010-07-20,14.990000,15.280000,14.800000,15.200000,15.200000,29578300\n2010-07-21,14.270000,14.280000,13.750000,13.910000,13.910000,78035800\n2010-07-22,13.890000,14.170000,13.810000,13.880000,13.880000,42677600\n2010-07-23,13.780000,14.040000,13.520000,13.990000,13.990000,34318400\n2010-07-26,13.960000,14.220000,13.950000,14.150000,14.150000,23247800\n2010-07-27,14.070000,14.100000,13.890000,13.950000,13.950000,20971000\n2010-07-28,13.910000,13.990000,13.850000,13.870000,13.870000,13522600\n2010-07-29,13.900000,13.960000,13.750000,13.760000,13.760000,16703000\n2010-07-30,13.690000,13.980000,13.680000,13.880000,13.880000,18380400\n2010-08-02,14.010000,14.080000,13.960000,14.000000,14.000000,14167200\n2010-08-03,13.950000,14.070000,13.910000,13.940000,13.940000,14098600\n2010-08-04,14.000000,14.200000,13.920000,14.180000,14.180000,14297200\n2010-08-05,14.160000,14.250000,14.020000,14.160000,14.160000,13072700\n2010-08-06,14.060000,14.380000,14.000000,14.340000,14.340000,13394800\n2010-08-09,14.340000,14.520000,14.340000,14.400000,14.400000,12202600\n2010-08-10,14.260000,14.460000,14.200000,14.350000,14.350000,9658000\n2010-08-11,14.140000,14.200000,13.840000,13.870000,13.870000,13235500\n2010-08-12,13.770000,13.990000,13.750000,13.850000,13.850000,11659900\n2010-08-13,13.810000,13.960000,13.760000,13.830000,13.830000,7845600\n2010-08-16,13.750000,13.900000,13.680000,13.790000,13.790000,11416400\n2010-08-17,13.840000,14.000000,13.750000,13.940000,13.940000,13298600\n2010-08-18,13.980000,14.050000,13.840000,13.990000,13.990000,15533300\n2010-08-19,13.850000,14.000000,13.800000,13.850000,13.850000,14100700\n2010-08-20,13.850000,13.950000,13.740000,13.790000,13.790000,17192200\n2010-08-23,13.810000,13.870000,13.540000,13.650000,13.650000,12297600\n2010-08-24,13.530000,13.640000,13.390000,13.400000,13.400000,13425800\n2010-08-25,13.290000,13.370000,13.140000,13.260000,13.260000,15556800\n2010-08-26,13.360000,13.400000,13.210000,13.210000,13.210000,14602700\n2010-08-27,13.240000,13.470000,13.030000,13.430000,13.430000,12705600\n2010-08-30,13.270000,13.420000,13.180000,13.180000,13.180000,7120900\n2010-08-31,13.110000,13.140000,12.940000,13.110000,13.110000,16489500\n2010-09-01,13.200000,13.410000,13.130000,13.370000,13.370000,24616700\n2010-09-02,13.330000,13.550000,13.260000,13.510000,13.510000,18190200\n2010-09-03,13.690000,13.750000,13.560000,13.620000,13.620000,12478500\n2010-09-07,13.560000,13.620000,13.500000,13.530000,13.530000,10240600\n2010-09-08,13.660000,13.820000,13.620000,13.750000,13.750000,12102700\n2010-09-09,13.880000,13.920000,13.570000,13.650000,13.650000,17735500\n2010-09-10,13.680000,13.770000,13.540000,13.680000,13.680000,18590100\n2010-09-13,13.830000,13.880000,13.610000,13.730000,13.730000,24261400\n2010-09-14,13.760000,13.760000,13.600000,13.630000,13.630000,23064500\n2010-09-15,14.030000,14.350000,13.770000,14.270000,14.270000,90035400\n2010-09-16,14.200000,14.230000,13.980000,14.190000,14.190000,27281500\n2010-09-17,14.330000,14.330000,13.880000,13.890000,13.890000,79565400\n2010-09-20,13.950000,14.060000,13.840000,13.860000,13.860000,26234600\n2010-09-21,13.940000,14.260000,13.920000,14.180000,14.180000,32048400\n2010-09-22,14.190000,14.250000,13.970000,14.040000,14.040000,18567400\n2010-09-23,13.930000,14.240000,13.930000,14.170000,14.170000,16931600\n2010-09-24,14.300000,14.510000,14.240000,14.500000,14.500000,24154800\n2010-09-27,14.460000,14.530000,14.250000,14.280000,14.280000,20674000\n2010-09-28,14.330000,14.450000,14.140000,14.390000,14.390000,16074100\n2010-09-29,14.360000,14.390000,14.060000,14.340000,14.340000,24475700\n2010-09-30,14.260000,14.350000,13.990000,14.170000,14.170000,20376200\n2010-10-01,14.190000,14.350000,14.130000,14.270000,14.270000,16096500\n2010-10-04,14.200000,14.320000,14.130000,14.280000,14.280000,20557500\n2010-10-05,14.450000,14.770000,14.400000,14.610000,14.610000,23988400\n2010-10-06,14.600000,14.700000,14.340000,14.520000,14.520000,20297000\n2010-10-07,14.600000,14.610000,14.140000,14.230000,14.230000,18068600\n2010-10-08,14.210000,14.560000,14.180000,14.490000,14.490000,16102900\n2010-10-11,14.450000,14.580000,14.380000,14.410000,14.410000,8348200\n2010-10-12,14.360000,14.470000,14.270000,14.430000,14.430000,12465700\n2010-10-13,14.570000,15.480000,14.500000,15.250000,15.250000,50773400\n2010-10-14,16.750000,16.760000,15.750000,15.930000,15.930000,123449900\n2010-10-15,16.170000,16.730000,15.900000,16.250000,16.250000,58481800\n2010-10-18,16.200001,16.280001,15.750000,15.930000,15.930000,35876500\n2010-10-19,15.730000,15.800000,15.370000,15.490000,15.490000,32678600\n2010-10-20,15.790000,16.250000,15.790000,15.800000,15.800000,37790200\n2010-10-21,15.900000,16.000000,15.730000,15.970000,15.970000,26935500\n2010-10-22,15.900000,16.410000,15.860000,16.309999,16.309999,24264100\n2010-10-25,16.299999,16.440001,16.150000,16.400000,16.400000,17251500\n2010-10-26,16.219999,16.480000,16.200001,16.459999,16.459999,22349000\n2010-10-27,16.400000,16.430000,16.200001,16.420000,16.420000,13764400\n2010-10-28,16.450001,16.450001,16.309999,16.400000,16.400000,12689500\n2010-10-29,16.370001,16.520000,16.330000,16.490000,16.490000,16013700\n2010-11-01,16.500000,16.520000,16.080000,16.150000,16.150000,14360600\n2010-11-02,16.290001,16.400000,16.180000,16.190001,16.190001,9964700\n2010-11-03,16.209999,16.230000,16.010000,16.170000,16.170000,17325500\n2010-11-04,16.309999,16.350000,16.020000,16.200001,16.200001,26484700\n2010-11-05,16.180000,16.400000,16.180000,16.270000,16.270000,13414000\n2010-11-08,16.290001,16.500000,16.250000,16.440001,16.440001,15561500\n2010-11-09,17.219999,17.600000,16.860001,16.969999,16.969999,56218900\n2010-11-10,17.000000,17.010000,16.750000,16.940001,16.940001,17012600\n2010-11-11,16.629999,16.860001,16.520000,16.799999,16.799999,15310600\n2010-11-12,16.650000,16.750000,16.400000,16.549999,16.549999,17703400\n2010-11-15,16.559999,16.889999,16.330000,16.600000,16.600000,18934600\n2010-11-16,16.450001,16.490000,16.100000,16.240000,16.240000,23484100\n2010-11-17,16.209999,16.330000,16.110001,16.150000,16.150000,10305800\n2010-11-18,16.400000,17.170000,16.290001,16.990000,16.990000,46500100\n2010-11-19,16.969999,16.969999,16.520000,16.570000,16.570000,24036200\n2010-11-22,16.430000,16.650000,16.250000,16.559999,16.559999,14316900\n2010-11-23,16.340000,16.430000,16.040001,16.190001,16.190001,22437900\n2010-11-24,16.309999,16.480000,16.150000,16.410000,16.410000,11561700\n2010-11-26,16.250000,16.400000,16.219999,16.219999,16.219999,4953900\n2010-11-29,16.100000,16.450001,15.950000,16.379999,16.379999,14653000\n2010-11-30,16.200001,16.340000,15.770000,15.820000,15.820000,24981100\n2010-12-01,16.000000,16.400000,16.000000,16.150000,16.150000,17435900\n2010-12-02,16.200001,16.410000,16.120001,16.330000,16.330000,13167300\n2010-12-03,16.270000,16.370001,16.200001,16.350000,16.350000,9228000\n2010-12-06,16.469999,16.600000,16.299999,16.330000,16.330000,12063800\n2010-12-07,16.500000,17.070000,16.500000,16.940001,16.940001,29056400\n2010-12-08,17.010000,17.219999,16.959999,17.020000,17.020000,21773300\n2010-12-09,17.120001,17.190001,16.799999,16.950001,16.950001,8673300\n2010-12-10,16.969999,17.049999,16.910000,17.010000,17.010000,8985300\n2010-12-13,16.900000,16.990000,16.690001,16.700001,16.700001,12755400\n2010-12-14,16.770000,16.840000,16.570000,16.629999,16.629999,11429500\n2010-12-15,16.549999,16.730000,16.420000,16.450001,16.450001,10944200\n2010-12-16,16.450001,16.700001,16.440001,16.510000,16.510000,12940500\n2010-12-17,16.510000,16.660000,16.320000,16.379999,16.379999,24896100\n2010-12-20,16.379999,16.420000,16.150000,16.280001,16.280001,17566400\n2010-12-21,16.309999,16.680000,16.200001,16.600000,16.600000,11394700\n2010-12-22,16.670000,16.780001,16.559999,16.629999,16.629999,6767500\n2010-12-23,16.559999,16.730000,16.450001,16.719999,16.719999,8889200\n2010-12-27,16.620001,16.629999,16.400000,16.480000,16.480000,7492300\n2010-12-28,16.469999,16.540001,16.330000,16.430000,16.430000,8389100\n2010-12-29,16.500000,16.770000,16.430000,16.610001,16.610001,7668600\n2010-12-30,16.600000,16.770000,16.520000,16.760000,16.760000,8318900\n2010-12-31,16.740000,16.760000,16.469999,16.629999,16.629999,7754500\n2011-01-03,16.809999,16.940001,16.670000,16.750000,16.750000,17684000\n2011-01-04,16.709999,16.830000,16.570000,16.590000,16.590000,11092800\n2011-01-05,16.549999,16.910000,16.340000,16.910000,16.910000,23447700\n2011-01-06,16.900000,17.340000,16.770000,17.059999,17.059999,30656800\n2011-01-07,17.030001,17.170000,16.650000,16.900000,16.900000,19869500\n2011-01-10,16.780001,16.799999,16.500000,16.600000,16.600000,16176700\n2011-01-11,16.700001,16.730000,16.530001,16.580000,16.580000,14615700\n2011-01-12,16.709999,16.809999,16.590000,16.650000,16.650000,15066200\n2011-01-13,16.639999,16.920000,16.570000,16.750000,16.750000,15961000\n2011-01-14,16.670000,16.830000,16.600000,16.809999,16.809999,13593500\n2011-01-18,16.620001,16.680000,16.420000,16.500000,16.500000,21392500\n2011-01-19,16.490000,16.549999,16.230000,16.309999,16.309999,17130000\n2011-01-20,16.290001,16.330000,16.090000,16.230000,16.230000,14622700\n2011-01-21,16.270000,16.309999,15.930000,15.970000,15.970000,23366200\n2011-01-24,16.000000,16.240000,15.760000,16.090000,16.090000,23375300\n2011-01-25,16.170000,16.190001,15.850000,16.020000,16.020000,26673100\n2011-01-26,15.930000,16.049999,15.410000,15.570000,15.570000,49690800\n2011-01-27,15.580000,16.360001,15.580000,16.200001,16.200001,39067000\n2011-01-28,16.150000,16.209999,15.680000,15.830000,15.830000,24734000\n2011-01-31,15.820000,16.200001,15.790000,16.120001,16.120001,22911400\n2011-02-01,16.330000,16.459999,16.230000,16.379999,16.379999,26938900\n2011-02-02,16.250000,16.660000,16.250000,16.570000,16.570000,21106800\n2011-02-03,16.480000,16.910000,16.400000,16.690001,16.690001,33314600\n2011-02-04,16.740000,16.910000,16.450001,16.790001,16.790001,19127900\n2011-02-07,16.809999,17.000000,16.770000,16.799999,16.799999,16046500\n2011-02-08,16.830000,16.850000,16.480000,16.600000,16.600000,17932000\n2011-02-09,16.540001,16.700001,16.350000,16.430000,16.430000,17778700\n2011-02-10,16.389999,16.719999,16.350000,16.620001,16.620001,15430500\n2011-02-11,16.580000,16.870001,16.540001,16.850000,16.850000,15386300\n2011-02-14,16.840000,16.930000,16.719999,16.889999,16.889999,14503000\n2011-02-15,16.799999,17.389999,16.780001,17.200001,17.200001,31395200\n2011-02-16,17.230000,17.820000,17.209999,17.760000,17.760000,41824100\n2011-02-17,17.750000,17.820000,17.500000,17.770000,17.770000,23566600\n2011-02-18,17.690001,17.840000,17.570000,17.660000,17.660000,13729900\n2011-02-22,17.080000,17.389999,16.870001,16.910000,16.910000,34759500\n2011-02-23,17.030001,17.100000,16.350000,16.580000,16.580000,35225100\n2011-02-24,16.660000,16.730000,16.040001,16.370001,16.370001,31570400\n2011-02-25,16.389999,16.770000,16.379999,16.500000,16.500000,16939600\n2011-02-28,16.370001,16.600000,16.280001,16.400000,16.400000,20210300\n2011-03-01,16.459999,16.490000,16.080000,16.100000,16.100000,16702800\n2011-03-02,16.650000,16.850000,16.600000,16.629999,16.629999,24521100\n2011-03-03,16.850000,17.049999,16.760000,16.860001,16.860001,35202100\n2011-03-04,16.750000,17.200001,16.719999,17.080000,17.080000,20274200\n2011-03-07,17.070000,17.150000,16.490000,16.700001,16.700001,18770800\n2011-03-08,16.740000,17.020000,16.719999,16.940001,16.940001,12717200\n2011-03-09,16.889999,17.700001,16.850000,17.650000,17.650000,33798000\n2011-03-10,17.299999,17.389999,16.930000,17.059999,17.059999,25659700\n2011-03-11,17.000000,17.540001,17.000000,17.420000,17.420000,19454900\n2011-03-14,17.240000,17.440001,17.090000,17.309999,17.309999,21615500\n2011-03-15,16.660000,16.680000,16.040001,16.330000,16.330000,51489300\n2011-03-16,16.330000,16.480000,15.850000,15.910000,15.910000,38378500\n2011-03-17,16.160000,16.420000,15.810000,15.860000,15.860000,37548800\n2011-03-18,16.100000,16.190001,16.010000,16.030001,16.030001,26660400\n2011-03-21,16.180000,16.500000,16.160000,16.290001,16.290001,20613700\n2011-03-22,16.290001,16.480000,16.160000,16.360001,16.360001,30692400\n2011-03-23,16.299999,16.340000,15.980000,16.129999,16.129999,30842500\n2011-03-24,16.190001,16.910000,16.170000,16.830000,16.830000,20120300\n2011-03-25,16.940001,17.049999,16.700001,16.959999,16.959999,21047200\n2011-03-28,17.010000,17.059999,16.580000,16.580000,16.580000,16066700\n2011-03-29,16.600000,16.780001,16.530001,16.750000,16.750000,10037900\n2011-03-30,16.830000,16.920000,16.680000,16.740000,16.740000,12944600\n2011-03-31,16.709999,16.879999,16.650000,16.680000,16.680000,15131500\n2011-04-01,16.830000,16.980000,16.719999,16.840000,16.840000,12487400\n2011-04-04,16.900000,17.049999,16.809999,16.870001,16.870001,9560800\n2011-04-05,16.809999,17.290001,16.790001,17.110001,17.110001,18464500\n2011-04-06,17.170000,17.200001,16.940001,17.049999,17.049999,13298700\n2011-04-07,16.910000,17.100000,16.790001,17.000000,17.000000,12778700\n2011-04-08,17.080000,17.110001,16.770000,16.770000,16.770000,13114200\n2011-04-11,16.910000,16.959999,16.370001,16.590000,16.590000,34841900\n2011-04-12,16.549999,16.639999,16.290001,16.360001,16.360001,19783600\n2011-04-13,16.430000,16.690001,16.430000,16.639999,16.639999,16700400\n2011-04-14,16.549999,16.820000,16.430000,16.690001,16.690001,16595500\n2011-04-15,16.639999,16.780001,16.540001,16.620001,16.620001,14756500\n2011-04-18,16.350000,16.440001,16.059999,16.350000,16.350000,21935700\n2011-04-19,16.209999,16.360001,16.080000,16.120001,16.120001,31547400\n2011-04-20,16.700001,17.230000,16.590000,16.870001,16.870001,34310400\n2011-04-21,16.930000,16.940001,16.740000,16.850000,16.850000,13985200\n2011-04-25,17.010000,17.309999,16.900000,17.110001,17.110001,17771500\n2011-04-26,17.110001,17.370001,17.020000,17.280001,17.280001,20000000\n2011-04-27,17.299999,17.430000,17.180000,17.260000,17.260000,16642400\n2011-04-28,17.219999,17.530001,17.170000,17.510000,17.510000,14400000\n2011-04-29,17.459999,17.770000,17.360001,17.700001,17.700001,30800000\n2011-05-02,17.790001,18.350000,17.570000,18.139999,18.139999,44030600\n2011-05-03,18.230000,18.639999,17.879999,17.920000,17.920000,32600000\n2011-05-04,17.990000,18.379999,17.959999,18.200001,18.200001,23584900\n2011-05-05,18.120001,18.559999,18.049999,18.430000,18.430000,30800000\n2011-05-06,18.590000,18.799999,18.379999,18.650000,18.650000,29690800\n2011-05-09,18.600000,18.840000,18.540001,18.559999,18.559999,15595600\n2011-05-10,18.670000,18.700001,18.420000,18.549999,18.549999,18475100\n2011-05-11,18.450001,18.610001,16.740000,17.200001,17.200001,131200000\n2011-05-12,17.120001,17.809999,16.930000,17.170000,17.170000,53000000\n2011-05-13,16.139999,16.840000,15.960000,16.549999,16.549999,120057600\n2011-05-16,16.680000,16.690001,15.630000,15.810000,15.810000,62082200\n2011-05-17,15.880000,16.070000,15.730000,16.000000,16.000000,31205200\n2011-05-18,16.070000,16.160000,15.750000,15.960000,15.960000,25880200\n2011-05-19,16.049999,16.490000,16.040001,16.350000,16.350000,40356400\n2011-05-20,16.320000,16.440001,16.150000,16.299999,16.299999,23582700\n2011-05-23,16.049999,16.170000,16.000000,16.059999,16.059999,19300000\n2011-05-24,16.110001,16.410000,16.049999,16.139999,16.139999,23150600\n2011-05-25,16.190001,16.990000,16.100000,16.150000,16.150000,34172600\n2011-05-26,16.180000,16.219999,15.880000,15.980000,15.980000,23999500\n2011-05-27,16.030001,16.190001,15.950000,16.020000,16.020000,20091200\n2011-05-31,16.170000,16.590000,16.120001,16.549999,16.549999,30266600\n2011-06-01,16.340000,16.430000,15.790000,15.850000,15.850000,40295600\n2011-06-02,16.000000,16.110001,15.870000,16.020000,16.020000,21005000\n2011-06-03,15.820000,16.000000,15.630000,15.680000,15.680000,22245200\n2011-06-06,15.650000,15.850000,15.410000,15.450000,15.450000,18200400\n2011-06-07,15.540000,15.650000,15.320000,15.450000,15.450000,16516100\n2011-06-08,15.370000,15.380000,15.080000,15.100000,15.100000,21986600\n2011-06-09,15.180000,15.330000,14.940000,15.220000,15.220000,18681900\n2011-06-10,15.270000,15.730000,15.110000,15.200000,15.200000,19452400\n2011-06-13,15.200000,15.340000,15.100000,15.160000,15.160000,14581200\n2011-06-14,15.260000,15.560000,15.190000,15.200000,15.200000,21994400\n2011-06-15,15.010000,15.050000,14.500000,14.810000,14.810000,41286100\n2011-06-16,15.010000,15.090000,14.650000,14.780000,14.780000,24446700\n2011-06-17,14.980000,14.980000,14.560000,14.700000,14.700000,22963400\n2011-06-20,14.660000,15.420000,14.660000,14.990000,14.990000,32646500\n2011-06-21,15.030000,15.380000,14.910000,15.350000,15.350000,17507800\n2011-06-22,15.290000,15.530000,15.190000,15.230000,15.230000,30154700\n2011-06-23,15.080000,15.090000,14.720000,15.080000,15.080000,32524700\n2011-06-24,15.080000,15.160000,14.850000,14.890000,14.890000,25340600\n2011-06-27,14.870000,14.980000,14.770000,14.880000,14.880000,13836300\n2011-06-28,14.950000,15.180000,14.880000,14.950000,14.950000,16056600\n2011-06-29,14.960000,15.050000,14.680000,14.890000,14.890000,25465200\n2011-06-30,14.980000,15.100000,14.640000,15.040000,15.040000,34905700\n2011-07-01,15.080000,15.500000,15.020000,15.450000,15.450000,16272500\n2011-07-05,15.400000,15.670000,15.250000,15.490000,15.490000,20481700\n2011-07-06,15.530000,15.810000,15.520000,15.720000,15.720000,18287200\n2011-07-07,15.780000,15.950000,15.700000,15.810000,15.810000,20991400\n2011-07-08,15.620000,15.690000,15.440000,15.610000,15.610000,14364900\n2011-07-11,15.430000,15.440000,14.990000,15.050000,15.050000,21486700\n2011-07-12,15.010000,15.180000,14.850000,14.860000,14.860000,22791100\n2011-07-13,15.010000,15.100000,14.870000,14.910000,14.910000,16646100\n2011-07-14,14.880000,14.990000,14.600000,14.630000,14.630000,27078600\n2011-07-15,14.750000,14.940000,14.610000,14.690000,14.690000,19745100\n2011-07-18,14.680000,14.690000,14.370000,14.420000,14.420000,24504800\n2011-07-19,14.570000,14.690000,14.450000,14.590000,14.590000,30168200\n2011-07-20,14.150000,14.150000,13.450000,13.480000,13.480000,63098400\n2011-07-21,13.500000,13.630000,13.360000,13.590000,13.590000,30487100\n2011-07-22,13.650000,14.050000,13.570000,13.980000,13.980000,30144800\n2011-07-25,13.840000,13.880000,13.680000,13.690000,13.690000,16725400\n2011-07-26,13.700000,13.990000,13.650000,13.940000,13.940000,20934200\n2011-07-27,13.870000,13.900000,13.570000,13.590000,13.590000,20559500\n2011-07-28,13.600000,13.710000,13.430000,13.500000,13.500000,20636500\n2011-07-29,13.890000,14.070000,13.040000,13.100000,13.100000,67798500\n2011-08-01,13.240000,13.340000,12.950000,13.100000,13.100000,26880000\n2011-08-02,12.960000,13.180000,12.750000,12.760000,12.760000,25800300\n2011-08-03,12.770000,13.070000,12.530000,13.020000,13.020000,26161900\n2011-08-04,12.800000,12.860000,11.990000,12.000000,12.000000,39442300\n2011-08-05,12.080000,12.120000,11.410000,11.740000,11.740000,47066200\n2011-08-08,11.430000,11.800000,11.090000,11.090000,11.090000,59577600\n2011-08-09,11.300000,12.090000,11.250000,12.090000,12.090000,47484100\n2011-08-10,11.770000,12.140000,11.620000,11.770000,11.770000,48027400\n2011-08-11,11.890000,12.920000,11.880000,12.860000,12.860000,51098800\n2011-08-12,12.810000,13.620000,12.760000,13.590000,13.590000,48472500\n2011-08-15,13.630000,13.690000,13.270000,13.470000,13.470000,25682800\n2011-08-16,13.340000,13.570000,13.180000,13.480000,13.480000,25581900\n2011-08-17,13.490000,13.620000,13.320000,13.470000,13.470000,17006500\n2011-08-18,13.020000,13.090000,12.800000,12.960000,12.960000,30447700\n2011-08-19,12.750000,13.080000,12.720000,12.920000,12.920000,26183900\n2011-08-22,13.160000,13.230000,12.770000,12.840000,12.840000,14199400\n2011-08-23,12.910000,13.350000,12.750000,13.350000,13.350000,17186500\n2011-08-24,13.280000,13.300000,12.790000,13.150000,13.150000,24967200\n2011-08-25,13.120000,13.210000,12.810000,12.870000,12.870000,21811800\n2011-08-26,12.800000,12.890000,12.520000,12.740000,12.740000,35882600\n2011-08-29,12.900000,13.680000,12.690000,13.680000,13.680000,30990800\n2011-08-30,13.300000,13.980000,13.230000,13.840000,13.840000,29162300\n2011-08-31,13.910000,13.940000,13.540000,13.610000,13.610000,25390700\n2011-09-01,13.670000,13.780000,13.320000,13.350000,13.350000,17962700\n2011-09-02,13.120000,13.130000,12.860000,12.870000,12.870000,20508600\n2011-09-06,12.520000,12.950000,12.450000,12.910000,12.910000,54455300\n2011-09-07,13.750000,14.000000,13.240000,13.610000,13.610000,77324200\n2011-09-08,13.570000,14.490000,13.370000,14.440000,14.440000,93972000\n2011-09-09,14.360000,14.570000,14.070000,14.480000,14.480000,60031900\n2011-09-12,14.120000,14.280000,13.920000,14.260000,14.260000,32692700\n2011-09-13,14.300000,14.340000,14.120000,14.260000,14.260000,19928800\n2011-09-14,14.470000,14.940000,14.340000,14.550000,14.550000,37385000\n2011-09-15,14.730000,15.400000,14.510000,14.890000,14.890000,58585100\n2011-09-16,15.090000,15.340000,14.940000,14.970000,14.970000,56827900\n2011-09-19,14.760000,14.790000,14.400000,14.610000,14.610000,27290100\n2011-09-20,14.530000,14.660000,14.280000,14.360000,14.360000,21767200\n2011-09-21,14.380000,14.600000,13.960000,13.960000,13.960000,32012800\n2011-09-22,14.200000,14.250000,13.690000,13.990000,13.990000,60456300\n2011-09-23,14.230000,14.830000,14.120000,14.710000,14.710000,49333200\n2011-09-26,14.790000,14.800000,14.230000,14.750000,14.750000,24466200\n2011-09-27,14.920000,15.000000,14.440000,14.540000,14.540000,25084400\n2011-09-28,14.610000,14.620000,14.150000,14.190000,14.190000,21284700\n2011-09-29,14.340000,14.390000,13.150000,13.420000,13.420000,45776600\n2011-09-30,13.210000,13.440000,13.110000,13.170000,13.170000,30232800\n2011-10-03,13.700000,14.040000,13.370000,13.530000,13.530000,43196300\n2011-10-04,14.000000,14.480000,13.870000,14.460000,14.460000,44487200\n2011-10-05,14.660000,16.150000,14.390000,15.920000,15.920000,97330200\n2011-10-06,15.160000,15.800000,14.920000,15.650000,15.650000,49961100\n2011-10-07,15.640000,15.750000,15.380000,15.470000,15.470000,27954000\n2011-10-10,15.860000,16.040001,15.620000,15.840000,15.840000,33085000\n2011-10-11,15.790000,15.950000,15.590000,15.860000,15.860000,18050300\n2011-10-12,15.930000,15.950000,15.670000,15.770000,15.770000,20585400\n2011-10-13,15.760000,16.370001,15.540000,15.930000,15.930000,32487300\n2011-10-14,16.129999,16.150000,15.660000,15.910000,15.910000,23520100\n2011-10-17,15.950000,16.040001,15.650000,15.700000,15.700000,21204000\n2011-10-18,15.720000,15.740000,15.110000,15.470000,15.470000,31377900\n2011-10-19,16.040001,16.790001,15.730000,15.940000,15.940000,54264500\n2011-10-20,16.200001,16.490000,15.970000,16.180000,16.180000,40816900\n2011-10-21,16.379999,16.389999,16.059999,16.120001,16.120001,29739400\n2011-10-24,16.570000,16.750000,16.309999,16.709999,16.709999,29864000\n2011-10-25,16.660000,16.700001,16.180000,16.240000,16.240000,24059700\n2011-10-26,16.330000,16.440001,15.860000,16.299999,16.299999,23630100\n2011-10-27,16.559999,16.700001,16.450001,16.629999,16.629999,19772200\n2011-10-28,16.410000,16.700001,16.250000,16.559999,16.559999,20286900\n2011-10-31,16.059999,16.070000,15.450000,15.640000,15.640000,39763700\n2011-11-01,14.950000,15.080000,14.750000,14.930000,14.930000,41834700\n2011-11-02,15.100000,15.300000,15.000000,15.100000,15.100000,20758800\n2011-11-03,15.200000,15.500000,15.030000,15.480000,15.480000,16809500\n2011-11-04,15.390000,15.540000,14.950000,15.240000,15.240000,41853000\n2011-11-07,15.260000,15.700000,15.250000,15.690000,15.690000,22390700\n2011-11-08,15.870000,16.180000,15.810000,15.970000,15.970000,25079700\n2011-11-09,16.170000,16.500000,15.870000,15.920000,15.920000,45328300\n2011-11-10,16.180000,16.219999,15.840000,15.950000,15.950000,15366400\n2011-11-11,15.960000,16.309999,15.910000,16.270000,16.270000,14541600\n2011-11-14,16.170000,16.309999,15.930000,16.000000,16.000000,14277600\n2011-11-15,15.930000,16.049999,15.700000,15.930000,15.930000,17650700\n2011-11-16,15.800000,16.100000,15.700000,15.720000,15.720000,14367600\n2011-11-17,15.690000,15.770000,15.200000,15.340000,15.340000,17443700\n2011-11-18,15.570000,15.690000,15.370000,15.380000,15.380000,17160300\n2011-11-21,15.190000,15.190000,14.770000,14.990000,14.990000,23676900\n2011-11-22,14.880000,15.080000,14.750000,14.970000,14.970000,14836000\n2011-11-23,15.200000,15.240000,14.830000,14.940000,14.940000,20125200\n2011-11-25,15.000000,15.250000,14.900000,15.100000,15.100000,10781800\n2011-11-28,15.240000,15.470000,15.210000,15.350000,15.350000,19029000\n2011-11-29,15.600000,15.940000,15.450000,15.700000,15.700000,29294000\n2011-11-30,15.900000,16.040001,15.650000,15.710000,15.710000,34718200\n2011-12-01,16.420000,16.459999,16.090000,16.230000,16.230000,47059800\n2011-12-02,16.309999,16.410000,16.030001,16.049999,16.049999,22714500\n2011-12-05,16.110001,16.139999,15.830000,15.890000,15.890000,19896500\n2011-12-06,15.900000,16.049999,15.840000,15.840000,15.840000,17333200\n2011-12-07,15.820000,15.860000,15.560000,15.620000,15.620000,19750500\n2011-12-08,15.600000,15.760000,15.530000,15.610000,15.610000,18126100\n2011-12-09,15.610000,15.960000,15.600000,15.940000,15.940000,13446300\n2011-12-12,15.710000,15.720000,15.410000,15.470000,15.470000,14689400\n2011-12-13,15.540000,15.740000,15.350000,15.420000,15.420000,15584400\n2011-12-14,15.190000,15.280000,14.800000,15.020000,15.020000,27251100\n2011-12-15,15.210000,15.290000,15.010000,15.160000,15.160000,14829800\n2011-12-16,15.050000,15.260000,14.920000,14.960000,14.960000,32617200\n2011-12-19,14.950000,15.000000,14.570000,14.620000,14.620000,21447300\n2011-12-20,14.680000,15.190000,14.680000,15.110000,15.110000,15885700\n2011-12-21,15.150000,16.240000,14.740000,15.990000,15.990000,47127600\n2011-12-22,16.360001,16.400000,15.950000,16.000000,16.000000,33812800\n2011-12-23,16.049999,16.260000,15.870000,16.190001,16.190001,17865900\n2011-12-27,16.160000,16.170000,16.010000,16.090000,16.090000,9739500\n2011-12-28,16.030001,16.049999,15.670000,15.780000,15.780000,14679900\n2011-12-29,15.950000,16.230000,15.800000,16.129999,16.129999,15280900\n2011-12-30,16.180000,16.209999,16.030001,16.129999,16.129999,10832800\n2012-01-03,16.270000,16.389999,16.200001,16.290001,16.290001,19708600\n2012-01-04,16.120001,16.160000,15.740000,15.780000,15.780000,35655300\n2012-01-05,15.600000,15.690000,15.440000,15.640000,15.640000,19422800\n2012-01-06,15.640000,15.660000,15.400000,15.520000,15.520000,13308400\n2012-01-09,15.590000,15.610000,15.350000,15.460000,15.460000,13191900\n2012-01-10,15.570000,15.710000,15.500000,15.510000,15.510000,14048800\n2012-01-11,15.560000,15.620000,15.350000,15.530000,15.530000,10800800\n2012-01-12,15.580000,15.730000,15.450000,15.660000,15.660000,12664600\n2012-01-13,15.650000,15.670000,15.430000,15.480000,15.480000,11704700\n2012-01-17,15.630000,15.660000,15.390000,15.430000,15.430000,15334200\n2012-01-18,15.870000,16.000000,15.690000,15.920000,15.920000,35695800\n2012-01-19,15.900000,16.150000,15.890000,16.120001,16.120001,22645000\n2012-01-20,16.110001,16.110001,15.850000,15.960000,15.960000,22003800\n2012-01-23,15.850000,15.930000,15.640000,15.680000,15.680000,17864500\n2012-01-24,15.570000,15.810000,15.550000,15.690000,15.690000,17152200\n2012-01-25,15.600000,15.710000,15.460000,15.560000,15.560000,23349500\n2012-01-26,15.630000,15.690000,15.420000,15.530000,15.530000,15408400\n2012-01-27,15.500000,15.800000,15.460000,15.740000,15.740000,10859000\n2012-01-30,15.610000,15.650000,15.500000,15.550000,15.550000,11076900\n2012-01-31,15.540000,15.620000,15.410000,15.470000,15.470000,10725500\n2012-02-01,15.570000,15.800000,15.530000,15.730000,15.730000,13221000\n2012-02-02,15.760000,15.820000,15.690000,15.720000,15.720000,9948800\n2012-02-03,15.940000,15.980000,15.830000,15.920000,15.920000,13652100\n2012-02-06,15.940000,15.950000,15.760000,15.820000,15.820000,11291100\n2012-02-07,15.840000,15.890000,15.740000,15.830000,15.830000,13504500\n2012-02-08,15.960000,15.970000,15.720000,15.780000,15.780000,13439400\n2012-02-09,16.100000,16.100000,15.900000,16.000000,16.000000,22553000\n2012-02-10,16.020000,16.309999,16.000000,16.139999,16.139999,27790100\n2012-02-13,16.129999,16.240000,16.049999,16.120001,16.120001,10067300\n2012-02-14,16.070000,16.100000,14.920000,15.370000,15.370000,88638700\n2012-02-15,15.230000,15.300000,15.080000,15.120000,15.120000,25318400\n2012-02-16,15.250000,15.380000,15.100000,15.360000,15.360000,15377400\n2012-02-17,15.410000,15.440000,15.000000,15.010000,15.010000,22889500\n2012-02-21,15.040000,15.070000,14.750000,14.750000,14.750000,29696600\n2012-02-22,14.680000,14.750000,14.430000,14.500000,14.500000,27187200\n2012-02-23,14.550000,14.810000,14.370000,14.780000,14.780000,15689700\n2012-02-24,14.860000,14.970000,14.830000,14.890000,14.890000,12105400\n2012-02-27,14.740000,14.910000,14.720000,14.860000,14.860000,13431000\n2012-02-28,14.930000,14.990000,14.760000,14.900000,14.900000,15395600\n2012-02-29,14.890000,14.930000,14.780000,14.830000,14.830000,19611100\n2012-03-01,14.890000,14.960000,14.790000,14.930000,14.930000,12283300\n2012-03-02,14.890000,14.920000,14.660000,14.720000,14.720000,9164900\n2012-03-05,14.660000,14.950000,14.520000,14.620000,14.620000,11749700\n2012-03-06,14.610000,14.690000,14.350000,14.420000,14.420000,12696600\n2012-03-07,14.480000,14.710000,14.440000,14.620000,14.620000,10622500\n2012-03-08,14.700000,14.770000,14.520000,14.620000,14.620000,11271400\n2012-03-09,14.630000,14.700000,14.610000,14.630000,14.630000,9769900\n2012-03-12,14.660000,14.760000,14.480000,14.490000,14.490000,11309200\n2012-03-13,14.540000,14.620000,14.390000,14.550000,14.550000,17134400\n2012-03-14,14.540000,14.640000,14.420000,14.630000,14.630000,14765500\n2012-03-15,14.640000,14.980000,14.570000,14.890000,14.890000,19809800\n2012-03-16,14.950000,15.180000,14.920000,15.180000,15.180000,28337600\n2012-03-19,15.080000,15.220000,14.920000,15.150000,15.150000,16649600\n2012-03-20,15.000000,15.610000,14.920000,15.410000,15.410000,22095600\n2012-03-21,15.420000,15.610000,15.170000,15.510000,15.510000,25024100\n2012-03-22,15.510000,15.560000,15.380000,15.490000,15.490000,14618600\n2012-03-23,15.520000,15.590000,15.310000,15.390000,15.390000,8493700\n2012-03-26,15.460000,15.560000,15.360000,15.540000,15.540000,11500800\n2012-03-27,15.530000,15.550000,15.410000,15.430000,15.430000,11891000\n2012-03-28,15.450000,15.480000,15.140000,15.320000,15.320000,18831800\n2012-03-29,15.190000,15.340000,15.110000,15.300000,15.300000,9933800\n2012-03-30,15.370000,15.420000,15.180000,15.220000,15.220000,15514100\n2012-04-02,15.190000,15.510000,15.110000,15.460000,15.460000,14423800\n2012-04-03,15.360000,15.430000,15.060000,15.180000,15.180000,18215000\n2012-04-04,15.150000,15.340000,15.000000,15.270000,15.270000,20954600\n2012-04-05,15.140000,15.260000,15.000000,15.070000,15.070000,11717000\n2012-04-09,15.000000,15.250000,14.960000,15.100000,15.100000,11335400\n2012-04-10,15.080000,15.180000,14.910000,14.990000,14.990000,15284200\n2012-04-11,15.080000,15.080000,14.840000,14.880000,14.880000,11200900\n2012-04-12,14.900000,15.100000,14.840000,15.060000,15.060000,9487500\n2012-04-13,14.990000,15.180000,14.860000,14.870000,14.870000,15335800\n2012-04-16,15.000000,15.040000,14.730000,14.790000,14.790000,13639200\n2012-04-17,14.820000,15.180000,14.820000,15.010000,15.010000,20559000\n2012-04-18,15.400000,15.570000,15.300000,15.490000,15.490000,36559000\n2012-04-19,15.440000,15.570000,15.360000,15.400000,15.400000,18431200\n2012-04-20,15.410000,15.700000,15.390000,15.600000,15.600000,24558400\n2012-04-23,15.410000,15.470000,15.290000,15.330000,15.330000,21683700\n2012-04-24,15.330000,15.520000,15.330000,15.430000,15.430000,12140200\n2012-04-25,15.430000,15.510000,15.380000,15.500000,15.500000,13236900\n2012-04-26,15.440000,15.550000,15.380000,15.530000,15.530000,12542800\n2012-04-27,15.510000,15.620000,15.490000,15.570000,15.570000,9711600\n2012-04-30,15.550000,15.570000,15.450000,15.540000,15.540000,10894600\n2012-05-01,15.510000,15.730000,15.500000,15.630000,15.630000,9799300\n2012-05-02,15.580000,15.770000,15.540000,15.670000,15.670000,10841000\n2012-05-03,15.650000,15.650000,15.330000,15.400000,15.400000,10932700\n2012-05-04,15.250000,15.290000,15.090000,15.150000,15.150000,13771300\n2012-05-07,15.340000,15.490000,15.160000,15.350000,15.350000,13466000\n2012-05-08,15.310000,15.440000,15.090000,15.360000,15.360000,18603600\n2012-05-09,15.170000,15.450000,15.030000,15.300000,15.300000,19008500\n2012-05-10,15.400000,15.540000,15.300000,15.440000,15.440000,11175700\n2012-05-11,14.880000,15.440000,14.800000,15.190000,15.190000,21134300\n2012-05-14,15.480000,15.770000,15.400000,15.500000,15.500000,30818600\n2012-05-15,15.470000,15.550000,15.340000,15.400000,15.400000,13742500\n2012-05-16,15.400000,15.570000,15.260000,15.280000,15.280000,17247400\n2012-05-17,15.260000,15.370000,14.850000,14.870000,14.870000,17345100\n2012-05-18,15.780000,15.870000,15.360000,15.420000,15.420000,32679400\n2012-05-21,16.000000,16.000000,15.100000,15.580000,15.580000,51145800\n2012-05-22,15.580000,15.610000,15.190000,15.290000,15.290000,33542000\n2012-05-23,15.190000,15.430000,15.140000,15.380000,15.380000,18115300\n2012-05-24,15.340000,15.510000,15.220000,15.350000,15.350000,13875600\n2012-05-25,15.400000,15.480000,15.280000,15.360000,15.360000,13629000\n2012-05-29,15.400000,15.550000,15.280000,15.470000,15.470000,18464900\n2012-05-30,15.300000,15.340000,15.160000,15.250000,15.250000,14924600\n2012-05-31,15.230000,15.370000,15.120000,15.240000,15.240000,17160000\n2012-06-01,15.040000,15.120000,14.850000,14.920000,14.920000,16196700\n2012-06-04,14.900000,15.030000,14.810000,15.010000,15.010000,15478000\n2012-06-05,15.000000,15.140000,14.910000,15.100000,15.100000,9725400\n2012-06-06,15.140000,15.410000,15.140000,15.360000,15.360000,18295500\n2012-06-07,15.470000,15.500000,15.330000,15.360000,15.360000,12635700\n2012-06-08,15.520000,15.680000,15.400000,15.650000,15.650000,16420600\n2012-06-11,15.730000,15.730000,15.270000,15.300000,15.300000,17145100\n2012-06-12,15.350000,15.520000,15.260000,15.470000,15.470000,17012500\n2012-06-13,15.470000,15.490000,15.270000,15.340000,15.340000,16454100\n2012-06-14,15.300000,15.460000,15.250000,15.360000,15.360000,11612700\n2012-06-15,15.440000,15.440000,15.330000,15.360000,15.360000,11716500\n2012-06-18,15.330000,15.540000,15.270000,15.490000,15.490000,9654000\n2012-06-19,15.520000,15.690000,15.510000,15.650000,15.650000,10635800\n2012-06-20,15.690000,15.750000,15.580000,15.740000,15.740000,11260700\n2012-06-21,15.740000,15.800000,15.470000,15.520000,15.520000,13102700\n2012-06-22,15.530000,15.700000,15.520000,15.610000,15.610000,11042700\n2012-06-25,15.510000,15.550000,15.310000,15.440000,15.440000,13383100\n2012-06-26,15.400000,15.470000,15.190000,15.350000,15.350000,13640400\n2012-06-27,15.410000,15.630000,15.380000,15.520000,15.520000,11261800\n2012-06-28,15.410000,15.480000,15.290000,15.450000,15.450000,12479200\n2012-06-29,15.610000,15.830000,15.530000,15.830000,15.830000,13501800\n2012-07-02,15.800000,15.940000,15.760000,15.840000,15.840000,7226600\n2012-07-03,15.830000,15.990000,15.820000,15.980000,15.980000,8148400\n2012-07-05,15.900000,15.990000,15.810000,15.850000,15.850000,11440800\n2012-07-06,15.800000,15.910000,15.680000,15.780000,15.780000,12151600\n2012-07-09,15.780000,15.840000,15.700000,15.750000,15.750000,10375900\n2012-07-10,15.830000,15.980000,15.710000,15.820000,15.820000,15933900\n2012-07-11,15.820000,15.940000,15.680000,15.800000,15.800000,16482300\n2012-07-12,15.630000,15.810000,15.540000,15.690000,15.690000,18390200\n2012-07-13,15.700000,15.840000,15.690000,15.740000,15.740000,11811600\n2012-07-16,15.690000,15.800000,15.600000,15.650000,15.650000,14982900\n2012-07-17,15.850000,15.890000,15.420000,15.600000,15.600000,30596300\n2012-07-18,15.640000,15.750000,15.510000,15.700000,15.700000,19270600\n2012-07-19,15.710000,15.860000,15.640000,15.730000,15.730000,15985300\n2012-07-20,15.750000,15.940000,15.680000,15.920000,15.920000,16919700\n2012-07-23,15.700000,15.810000,15.590000,15.760000,15.760000,14825800\n2012-07-24,15.740000,15.760000,15.230000,15.430000,15.430000,19733400\n2012-07-25,15.520000,15.640000,15.400000,15.500000,15.500000,15092000\n2012-07-26,15.690000,15.880000,15.620000,15.800000,15.800000,11033200\n2012-07-27,15.880000,16.170000,15.840000,16.110001,16.110001,14220800\n2012-07-30,16.150000,16.150000,15.900000,15.980000,15.980000,10187600\n2012-07-31,16.000000,16.059999,15.810000,15.840000,15.840000,13753800\n2012-08-01,15.860000,16.070000,15.830000,15.990000,15.990000,14008000\n2012-08-02,15.860000,16.000000,15.640000,15.750000,15.750000,12900500\n2012-08-03,15.890000,16.030001,15.820000,15.970000,15.970000,9140800\n2012-08-06,16.000000,16.070000,15.950000,16.040001,16.040001,8803900\n2012-08-07,16.090000,16.370001,16.070000,16.219999,16.219999,17281700\n2012-08-08,16.150000,16.320000,16.090000,16.170000,16.170000,7379000\n2012-08-09,16.160000,16.160000,15.980000,16.010000,16.010000,8613100\n2012-08-10,15.250000,15.350000,15.010000,15.150000,15.150000,61987300\n2012-08-13,15.030000,15.210000,15.000000,15.020000,15.020000,20849400\n2012-08-14,15.040000,15.050000,14.690000,14.730000,14.730000,29655200\n2012-08-15,14.770000,14.860000,14.650000,14.760000,14.760000,20682900\n2012-08-16,14.810000,15.010000,14.750000,14.990000,14.990000,24971900\n2012-08-17,15.020000,15.070000,14.850000,15.030000,15.030000,19640700\n2012-08-20,14.990000,15.050000,14.880000,14.960000,14.960000,11193900\n2012-08-21,14.950000,15.010000,14.880000,14.970000,14.970000,27934700\n2012-08-22,14.950000,14.990000,14.860000,14.920000,14.920000,9168400\n2012-08-23,14.900000,14.970000,14.820000,14.870000,14.870000,12463000\n2012-08-24,14.820000,14.940000,14.770000,14.920000,14.920000,8650400\n2012-08-27,14.920000,14.930000,14.770000,14.850000,14.850000,10054000\n2012-08-28,14.840000,14.870000,14.690000,14.720000,14.720000,12706400\n2012-08-29,14.730000,14.940000,14.700000,14.840000,14.840000,21113600\n2012-08-30,14.810000,14.840000,14.640000,14.670000,14.670000,10698800\n2012-08-31,14.790000,14.820000,14.590000,14.650000,14.650000,11619700\n2012-09-04,14.640000,14.980000,14.590000,14.890000,14.890000,18809200\n2012-09-05,14.860000,15.140000,14.850000,15.090000,15.090000,21118800\n2012-09-06,15.130000,15.150000,14.960000,15.110000,15.110000,18011600\n2012-09-07,15.120000,15.290000,15.100000,15.220000,15.220000,12988700\n2012-09-10,15.190000,15.280000,15.110000,15.110000,15.110000,10520100\n2012-09-11,15.090000,15.250000,15.060000,15.160000,15.160000,8036400\n2012-09-12,15.300000,15.550000,15.280000,15.400000,15.400000,22006000\n2012-09-13,15.380000,15.690000,15.370000,15.600000,15.600000,12136300\n2012-09-14,15.700000,15.840000,15.620000,15.770000,15.770000,17642600\n2012-09-17,15.810000,15.840000,15.630000,15.680000,15.680000,11697700\n2012-09-18,15.650000,16.170000,15.600000,15.910000,15.910000,42449600\n2012-09-19,15.960000,16.129999,15.840000,15.860000,15.860000,30681100\n2012-09-20,15.760000,15.860000,15.650000,15.790000,15.790000,18169800\n2012-09-21,15.720000,15.820000,15.660000,15.740000,15.740000,49167000\n2012-09-24,15.690000,16.040001,15.600000,16.000000,16.000000,23019900\n2012-09-25,16.090000,16.090000,15.670000,15.680000,15.680000,22966300\n2012-09-26,15.710000,15.810000,15.550000,15.610000,15.610000,12784100\n2012-09-27,15.900000,16.200001,15.790000,16.040001,16.040001,24416200\n2012-09-28,16.010000,16.090000,15.930000,15.980000,15.980000,19744300\n2012-10-01,16.000000,16.090000,15.770000,15.830000,15.830000,20601900\n2012-10-02,16.030001,16.040001,15.880000,15.940000,15.940000,13696700\n2012-10-03,16.000000,16.240000,15.990000,16.209999,16.209999,20399000\n2012-10-04,16.219999,16.350000,16.150000,16.270000,16.270000,17283900\n2012-10-05,16.270000,16.379999,16.090000,16.090000,16.090000,9240400\n2012-10-08,16.020000,16.160000,16.000000,16.030001,16.030001,11736700\n2012-10-09,16.030001,16.049999,15.810000,15.850000,15.850000,14110000\n2012-10-10,15.830000,15.990000,15.800000,15.830000,15.830000,14546300\n2012-10-11,15.940000,16.020000,15.840000,15.920000,15.920000,12973000\n2012-10-12,15.900000,16.020000,15.860000,15.880000,15.880000,12239100\n2012-10-15,15.850000,15.870000,15.650000,15.680000,15.680000,20786500\n2012-10-16,15.820000,15.980000,15.760000,15.920000,15.920000,20574100\n2012-10-17,15.850000,16.120001,15.830000,16.090000,16.090000,19570500\n2012-10-18,16.230000,16.240000,15.830000,16.000000,16.000000,26361000\n2012-10-19,16.000000,16.030001,15.830000,15.840000,15.840000,32893100\n2012-10-22,15.810000,15.950000,15.740000,15.770000,15.770000,32288000\n2012-10-23,16.530001,16.790001,16.260000,16.670000,16.670000,71575400\n2012-10-24,16.780001,16.799999,16.480000,16.549999,16.549999,25119700\n2012-10-25,16.719999,16.770000,16.490000,16.610001,16.610001,23080800\n2012-10-26,16.540001,16.820000,16.520000,16.790001,16.790001,23374200\n2012-10-31,16.809999,16.889999,16.600000,16.840000,16.840000,21058800\n2012-11-01,16.900000,17.049999,16.860001,16.950001,16.950001,19764900\n2012-11-02,17.000000,17.139999,16.950001,17.110001,17.110001,27568700\n2012-11-05,17.100000,17.430000,17.010000,17.370001,17.370001,31854300\n2012-11-06,17.440001,17.530001,17.320000,17.459999,17.459999,26321200\n2012-11-07,17.240000,17.559999,17.180000,17.389999,17.389999,24344200\n2012-11-08,17.299999,17.500000,17.230000,17.240000,17.240000,20322000\n2012-11-09,17.219999,17.520000,17.180000,17.260000,17.260000,23832100\n2012-11-12,17.180000,17.559999,17.170000,17.510000,17.510000,22361500\n2012-11-13,17.420000,17.850000,17.379999,17.850000,17.850000,29016900\n2012-11-14,17.900000,18.080000,17.750000,17.830000,17.830000,36398900\n2012-11-15,17.820000,18.160000,17.740000,17.889999,17.889999,35659000\n2012-11-16,17.910000,18.020000,17.760000,17.860001,17.860001,31014300\n2012-11-19,18.020000,18.370001,17.870001,18.360001,18.360001,32995900\n2012-11-20,18.440001,18.500000,18.190001,18.240000,18.240000,26228200\n2012-11-21,18.240000,18.500000,18.200001,18.400000,18.400000,19584800\n2012-11-23,18.500000,18.590000,18.400000,18.570000,18.570000,7714800\n2012-11-26,18.879999,19.000000,18.700001,18.760000,18.760000,34042700\n2012-11-27,18.870001,19.160000,18.799999,18.930000,18.930000,29330500\n2012-11-28,18.780001,18.950001,18.530001,18.910000,18.910000,30313200\n2012-11-29,18.950001,19.030001,18.850000,18.870001,18.870001,27259800\n2012-11-30,18.900000,18.950001,18.690001,18.770000,18.770000,24075300\n2012-12-03,18.549999,18.840000,18.340000,18.549999,18.549999,29603000\n2012-12-04,18.639999,18.959999,18.600000,18.930000,18.930000,30725600\n2012-12-05,18.980000,19.030001,18.770000,18.889999,18.889999,24739100\n2012-12-06,18.780001,19.280001,18.770000,19.200001,19.200001,25312800\n2012-12-07,19.160000,19.299999,19.059999,19.200001,19.200001,19159700\n2012-12-10,19.180000,19.469999,19.150000,19.430000,19.430000,24127800\n2012-12-11,19.530001,19.629999,19.430000,19.520000,19.520000,19049500\n2012-12-12,19.559999,19.600000,19.340000,19.379999,19.379999,22899200\n2012-12-13,19.440001,19.540001,19.260000,19.350000,19.350000,20454600\n2012-12-14,19.400000,19.719999,19.400000,19.639999,19.639999,19580400\n2012-12-17,19.719999,19.740000,19.530001,19.690001,19.690001,14760300\n2012-12-18,19.719999,19.760000,19.580000,19.620001,19.620001,17094600\n2012-12-19,19.590000,19.690001,19.580000,19.600000,19.600000,12351400\n2012-12-20,19.580000,19.709999,19.410000,19.690001,19.690001,24572800\n2012-12-21,19.490000,19.490000,19.230000,19.350000,19.350000,32727700\n2012-12-24,19.450001,19.660000,19.379999,19.650000,19.650000,11431500\n2012-12-26,19.700001,19.750000,19.520000,19.570000,19.570000,9376200\n2012-12-27,19.540001,19.670000,19.440001,19.600000,19.600000,13999400\n2012-12-28,19.440001,19.570000,19.280001,19.500000,19.500000,16667800\n2012-12-31,19.430000,19.969999,19.400000,19.900000,19.900000,20645100\n2013-01-02,20.200001,20.320000,20.010000,20.080000,20.080000,20463100\n2013-01-03,20.049999,20.100000,19.719999,19.780001,19.780001,19504400\n2013-01-04,19.760000,19.950001,19.719999,19.860001,19.860001,12489600\n2013-01-07,19.559999,19.580000,19.280001,19.400000,19.400000,23864500\n2013-01-08,19.320000,19.680000,19.299999,19.660000,19.660000,16931700\n2013-01-09,19.730000,19.750000,19.219999,19.320000,19.320000,21646700\n2013-01-10,19.190001,19.379999,18.930000,18.990000,18.990000,30647000\n2013-01-11,19.049999,19.379999,18.889999,19.290001,19.290001,21552200\n2013-01-14,19.330000,19.540001,19.250000,19.430000,19.430000,13828400\n2013-01-15,19.280001,19.540001,19.280001,19.520000,19.520000,16087600\n2013-01-16,19.910000,20.139999,19.620001,20.070000,20.070000,33291700\n2013-01-17,20.139999,20.209999,20.000000,20.129999,20.129999,14500600\n2013-01-18,20.070000,20.170000,19.969999,20.020000,20.020000,13535100\n2013-01-22,19.910000,19.950001,19.719999,19.900000,19.900000,13866900\n2013-01-23,19.980000,20.190001,19.910000,20.110001,20.110001,13857900\n2013-01-24,20.080000,20.520000,20.070000,20.440001,20.440001,13711400\n2013-01-25,20.430000,20.480000,20.230000,20.370001,20.370001,14954300\n2013-01-28,20.500000,20.500000,20.200001,20.309999,20.309999,39510100\n2013-01-29,20.870001,20.879999,19.680000,19.700001,19.700001,57652300\n2013-01-30,19.920000,20.120001,19.690001,20.120001,20.120001,36572300\n2013-01-31,19.920000,19.990000,19.570000,19.629999,19.629999,34973700\n2013-02-01,19.770000,19.830000,19.580000,19.760000,19.760000,27610600\n2013-02-04,19.760000,19.809999,19.309999,19.340000,19.340000,23906500\n2013-02-05,19.490000,19.780001,19.420000,19.660000,19.660000,13559800\n2013-02-06,19.629999,19.900000,19.590000,19.850000,19.850000,15392300\n2013-02-07,20.100000,20.430000,19.930000,20.320000,20.320000,24705600\n2013-02-08,20.379999,20.610001,20.299999,20.500000,20.500000,22249700\n2013-02-11,20.440001,20.980000,20.389999,20.900000,20.900000,22089900\n2013-02-12,20.940001,21.400000,20.889999,21.209999,21.209999,27750200\n2013-02-13,21.150000,21.430000,21.070000,21.150000,21.150000,18797900\n2013-02-14,21.100000,21.260000,21.059999,21.180000,21.180000,12817900\n2013-02-15,21.150000,21.250000,20.900000,21.020000,21.020000,12584000\n2013-02-19,21.030001,21.410000,20.969999,21.290001,21.290001,16665800\n2013-02-20,21.309999,21.450001,20.900000,20.920000,20.920000,14438900\n2013-02-21,20.920000,21.000000,20.740000,20.830000,20.830000,13296100\n2013-02-22,20.870001,21.309999,20.850000,21.219999,21.219999,13673300\n2013-02-25,21.260000,21.320000,20.719999,20.730000,20.730000,13334900\n2013-02-26,20.680000,20.850000,20.580000,20.760000,20.760000,14038200\n2013-02-27,20.809999,21.309999,20.690001,21.160000,21.160000,15697300\n2013-02-28,21.059999,21.570000,21.049999,21.309999,21.309999,18873700\n2013-03-01,21.360001,22.280001,21.260000,21.940001,21.940001,33776700\n2013-03-04,22.370001,22.740000,22.200001,22.700001,22.700001,30075300\n2013-03-05,22.910000,23.080000,22.610001,22.950001,22.950001,30497400\n2013-03-06,23.080000,23.090000,22.709999,22.799999,22.799999,15193900\n2013-03-07,22.920000,23.000000,22.650000,22.700001,22.700001,12881800\n2013-03-08,22.920000,22.959999,22.709999,22.900000,22.900000,10583500\n2013-03-11,22.799999,23.000000,22.570000,22.600000,22.600000,16489200\n2013-03-12,22.510000,22.580000,22.190001,22.400000,22.400000,12012300\n2013-03-13,22.480000,22.480000,22.160000,22.340000,22.340000,13956200\n2013-03-14,22.469999,22.750000,22.410000,22.430000,22.430000,12798500\n2013-03-15,22.340000,22.389999,21.969999,22.070000,22.070000,33557400\n2013-03-18,21.900000,22.170000,21.870001,22.010000,22.010000,15071700\n2013-03-19,22.059999,22.330000,21.889999,22.170000,22.170000,12846900\n2013-03-20,22.030001,22.330000,21.950001,22.100000,22.100000,18094100\n2013-03-21,22.389999,22.950001,22.360001,22.860001,22.860001,24719100\n2013-03-22,22.879999,23.260000,22.719999,23.260000,23.260000,18062100\n2013-03-25,23.410000,23.879999,23.309999,23.379999,23.379999,23138900\n2013-03-26,23.459999,23.620001,23.350000,23.590000,23.590000,16893200\n2013-03-27,23.540001,23.830000,23.410000,23.590000,23.590000,13943600\n2013-03-28,23.629999,23.770000,23.450001,23.530001,23.530001,17611900\n2013-04-01,23.309999,23.620001,23.190001,23.500000,23.500000,12344300\n2013-04-02,23.770000,23.900000,23.600000,23.780001,23.780001,14724800\n2013-04-03,23.780001,23.879999,23.240000,23.379999,23.379999,14934300\n2013-04-04,23.490000,23.719999,23.360001,23.520000,23.520000,12521200\n2013-04-05,23.180000,23.410000,23.010000,23.299999,23.299999,14243700\n2013-04-08,23.240000,23.480000,23.129999,23.480000,23.480000,9998100\n2013-04-09,23.559999,24.000000,23.440001,23.830000,23.830000,14773900\n2013-04-10,24.000000,24.320000,23.950001,24.200001,24.200001,17281900\n2013-04-11,24.410000,24.570000,24.309999,24.490000,24.490000,12362500\n2013-04-12,24.580000,24.799999,24.340000,24.690001,24.690001,13342800\n2013-04-15,24.719999,24.990000,23.830000,23.980000,23.980000,28129600\n2013-04-16,24.059999,24.260000,23.760000,23.790001,23.790001,30877500\n2013-04-17,23.450001,24.100000,23.129999,23.700001,23.700001,45148600\n2013-04-18,23.660000,23.700001,22.700001,23.260000,23.260000,25822300\n2013-04-19,23.120001,23.629999,22.830000,23.469999,23.469999,17860200\n2013-04-22,23.709999,23.959999,23.469999,23.950001,23.950001,15539700\n2013-04-23,23.959999,24.450001,23.959999,24.379999,24.379999,16718000\n2013-04-24,24.450001,24.969999,24.440001,24.750000,24.750000,15138800\n2013-04-25,24.930000,25.290001,24.879999,25.200001,25.200001,17289100\n2013-04-26,25.139999,25.370001,24.580000,24.680000,24.680000,19573300\n2013-04-29,24.850000,24.910000,24.350000,24.430000,24.430000,12533100\n2013-04-30,24.379999,24.790001,24.360001,24.730000,24.730000,10091200\n2013-05-01,24.670000,24.719999,24.260000,24.299999,24.299999,11075000\n2013-05-02,24.340000,24.969999,24.180000,24.969999,24.969999,10651000\n2013-05-03,25.129999,25.250000,24.990000,25.070000,25.070000,11513900\n2013-05-06,25.049999,25.340000,24.920000,25.170000,25.170000,11990500\n2013-05-07,26.010000,26.790001,25.549999,26.070000,26.070000,25883100\n2013-05-08,26.170000,26.660000,25.959999,26.410000,26.410000,24960800\n2013-05-09,26.410000,26.490000,26.139999,26.240000,26.240000,11186000\n2013-05-10,26.320000,26.860001,26.309999,26.830000,26.830000,16236400\n2013-05-13,26.760000,26.830000,26.360001,26.389999,26.389999,15808000\n2013-05-14,26.750000,26.870001,26.520000,26.639999,26.639999,14828200\n2013-05-15,26.629999,27.680000,26.549999,27.340000,27.340000,21956500\n2013-05-16,27.430000,27.430000,26.570000,26.580000,26.580000,18192300\n2013-05-17,26.780001,26.980000,26.459999,26.520000,26.520000,14889300\n2013-05-20,26.680000,27.049999,26.209999,26.580000,26.580000,25099100\n2013-05-21,26.900000,27.129999,26.719999,27.000000,27.000000,14889000\n2013-05-22,27.070000,27.190001,26.440001,26.540001,26.540001,16046200\n2013-05-23,25.950001,26.270000,25.700001,26.020000,26.020000,23307000\n2013-05-24,25.900000,26.480000,25.650000,26.330000,26.330000,14967100\n2013-05-28,26.650000,26.770000,25.980000,26.070000,26.070000,19015300\n2013-05-29,25.900000,26.040001,25.320000,25.809999,25.809999,18738900\n2013-05-30,25.830000,26.500000,25.799999,26.330000,26.330000,12916200\n2013-05-31,26.200001,26.600000,26.090000,26.299999,26.299999,23994200\n2013-06-03,26.370001,26.620001,26.129999,26.389999,26.389999,16454100\n2013-06-04,26.459999,26.570000,25.969999,26.260000,26.260000,13218300\n2013-06-05,26.110001,26.250000,25.690001,25.750000,25.750000,14270500\n2013-06-06,25.879999,26.209999,25.660000,26.209999,26.209999,13559000\n2013-06-07,26.389999,27.090000,26.280001,27.040001,27.040001,16948700\n2013-06-10,27.040001,27.120001,26.700001,26.740000,26.740000,15850700\n2013-06-11,26.430000,26.879999,26.320000,26.400000,26.400000,10097100\n2013-06-12,26.500000,26.530001,25.889999,25.889999,25.889999,11920800\n2013-06-13,25.790001,26.459999,25.709999,26.370001,26.370001,9763800\n2013-06-14,26.320000,26.549999,26.160000,26.280001,26.280001,7398800\n2013-06-17,26.290001,26.850000,26.240000,26.540001,26.540001,10289700\n2013-06-18,26.570000,26.889999,26.510000,26.660000,26.660000,9710700\n2013-06-19,26.600000,26.780001,26.230000,26.240000,26.240000,11398300\n2013-06-20,26.030001,26.049999,25.230000,25.350000,25.350000,19115500\n2013-06-21,25.290001,25.430000,24.940001,25.190001,25.190001,24574100\n2013-06-24,24.980000,25.090000,23.820000,24.070000,24.070000,37006200\n2013-06-25,24.290001,25.010000,24.230000,24.959999,24.959999,18883900\n2013-06-26,25.219999,25.680000,25.010000,25.290001,25.290001,12583100\n2013-06-27,25.469999,25.980000,25.440001,25.469999,25.469999,14489800\n2013-06-28,25.430000,25.540001,24.889999,25.129999,25.129999,26774300\n2013-07-01,25.260000,25.540001,25.180000,25.240000,25.240000,10679300\n2013-07-02,25.270000,25.500000,24.900000,24.990000,24.990000,10129600\n2013-07-03,24.840000,25.639999,24.820000,25.590000,25.590000,6059100\n2013-07-05,25.850000,26.260000,25.520000,25.680000,25.680000,11097500\n2013-07-08,25.719999,25.990000,25.490000,25.530001,25.530001,10478400\n2013-07-09,25.740000,26.700001,25.740000,26.680000,26.680000,17567800\n2013-07-10,26.879999,27.070000,26.190001,26.559999,26.559999,15103300\n2013-07-11,26.950001,27.190001,26.940001,27.040001,27.040001,17589800\n2013-07-12,27.080000,27.440001,27.010000,27.230000,27.230000,17315300\n2013-07-15,27.469999,27.469999,27.059999,27.340000,27.340000,16674800\n2013-07-16,27.299999,27.450001,26.730000,26.879999,26.879999,31375200\n2013-07-17,27.660000,29.730000,27.520000,29.660000,29.660000,83791400\n2013-07-18,29.570000,29.830000,28.730000,29.660000,29.660000,35025600\n2013-07-19,29.410000,29.719999,29.040001,29.110001,29.110001,20756900\n2013-07-22,28.080000,28.420000,27.629999,27.860001,27.860001,46046400\n2013-07-23,28.030001,28.040001,27.209999,27.360001,27.360001,25923400\n2013-07-24,27.540001,27.920000,27.230000,27.840000,27.840000,22739800\n2013-07-25,27.730000,28.459999,27.650000,28.270000,28.270000,20000600\n2013-07-26,28.000000,28.340000,27.740000,28.110001,28.110001,11918700\n2013-07-29,27.950001,28.330000,27.799999,27.930000,27.930000,11095100\n2013-07-30,28.090000,28.230000,27.860001,28.049999,28.049999,10337800\n2013-07-31,27.920000,28.209999,27.570000,28.090000,28.090000,20920100\n2013-08-01,28.350000,28.450001,27.910000,27.959999,27.959999,13157600\n2013-08-02,28.070000,28.090000,27.549999,27.650000,27.650000,11863400\n2013-08-05,27.709999,27.799999,27.450001,27.670000,27.670000,7839200\n2013-08-06,27.670000,27.750000,27.150000,27.320000,27.320000,10951100\n2013-08-07,27.309999,27.510000,27.059999,27.389999,27.389999,9450700\n2013-08-08,27.549999,27.620001,27.230000,27.480000,27.480000,8934400\n2013-08-09,27.410000,27.700001,27.200001,27.680000,27.680000,13051100\n2013-08-12,27.549999,28.370001,27.500000,28.350000,28.350000,16561900\n2013-08-13,28.379999,28.600000,28.230000,28.340000,28.340000,14891300\n2013-08-14,28.190001,28.209999,28.000000,28.049999,28.049999,8471400\n2013-08-15,27.830000,27.830000,27.120001,27.139999,27.139999,14217100\n2013-08-16,27.000000,27.600000,27.000000,27.320000,27.320000,14823400\n2013-08-19,27.270000,27.440001,26.910000,26.910000,26.910000,11876000\n2013-08-20,26.920000,27.309999,26.900000,27.120001,27.120001,10707200\n2013-08-21,27.090000,27.490000,27.000000,27.059999,27.059999,8791300\n2013-08-22,27.600000,28.010000,27.370001,27.900000,27.900000,15728600\n2013-08-23,28.299999,28.320000,27.809999,27.990000,27.990000,13192900\n2013-08-26,27.990000,28.040001,27.700001,27.700001,27.700001,9754400\n2013-08-27,27.240000,27.459999,26.750000,27.000000,27.000000,14549500\n2013-08-28,26.900000,27.240000,26.830000,27.110001,27.110001,9603100\n2013-08-29,27.030001,27.450001,27.030001,27.299999,27.299999,13911900\n2013-08-30,27.389999,27.440001,26.820000,27.120001,27.120001,16344400\n2013-09-03,27.379999,27.870001,27.370001,27.780001,27.780001,14591100\n2013-09-04,27.700001,28.120001,27.600000,28.070000,28.070000,8880500\n2013-09-05,28.100000,28.350000,27.910000,28.230000,28.230000,8989600\n2013-09-06,28.350000,28.500000,27.820000,28.170000,28.170000,10807500\n2013-09-09,28.320000,29.320000,28.320000,29.240000,29.240000,21178000\n2013-09-10,29.430000,29.629999,29.080000,29.480000,29.480000,13007600\n2013-09-11,29.379999,29.410000,28.969999,29.190001,29.190001,10374600\n2013-09-12,29.719999,30.270000,29.500000,29.650000,29.650000,22060700\n2013-09-13,29.469999,29.469999,28.799999,29.260000,29.260000,13836600\n2013-09-16,29.639999,30.040001,29.510000,29.620001,29.620001,15748700\n2013-09-17,29.639999,30.000000,29.309999,30.000000,30.000000,10499700\n2013-09-18,30.010000,30.459999,29.850000,30.440001,30.440001,15570600\n2013-09-19,30.530001,31.049999,30.340000,31.030001,31.030001,12795100\n2013-09-20,31.049999,31.100000,30.760000,30.930000,30.930000,14925400\n2013-09-23,31.030001,31.030001,30.020000,30.260000,30.260000,15728900\n2013-09-24,30.549999,31.660000,30.540001,31.270000,31.270000,27820600\n2013-09-25,31.400000,32.029999,31.120001,31.340000,31.340000,19146600\n2013-09-26,31.650000,33.000000,31.580000,32.750000,32.750000,39233700\n2013-09-27,33.330002,33.849998,32.759998,33.549999,33.549999,31791600\n2013-09-30,33.040001,33.750000,32.680000,33.169998,33.169998,30065800\n2013-10-01,33.360001,34.439999,33.299999,34.310001,34.310001,28180900\n2013-10-02,34.150002,34.700001,33.900002,34.139999,34.139999,21637400\n2013-10-03,34.320000,34.360001,33.200001,33.880001,33.880001,23263900\n2013-10-04,33.959999,35.060001,33.959999,34.889999,34.889999,23950200\n2013-10-07,34.459999,34.689999,34.080002,34.139999,34.139999,15448700\n2013-10-08,34.459999,34.500000,32.099998,32.930000,32.930000,42914600\n2013-10-09,33.070000,33.330002,31.790001,33.009998,33.009998,33509700\n2013-10-10,33.490002,33.910000,33.330002,33.869999,33.869999,23448100\n2013-10-11,33.669998,34.369999,33.610001,34.150002,34.150002,17012300\n2013-10-14,33.799999,34.099998,33.680000,34.000000,34.000000,17614000\n2013-10-15,34.200001,34.320000,33.060001,33.380001,33.380001,42773900\n2013-10-16,33.900002,34.110001,32.830002,33.090000,33.090000,44820000\n2013-10-17,32.880001,33.009998,32.310001,32.740002,32.740002,25229700\n2013-10-18,33.169998,33.750000,33.110001,33.430000,33.430000,24622900\n2013-10-21,33.650002,34.349998,33.650002,34.060001,34.060001,17776700\n2013-10-22,34.240002,34.599998,33.580002,33.939999,33.939999,17549100\n2013-10-23,33.759998,33.840000,33.020000,33.099998,33.099998,15931700\n2013-10-24,33.160000,33.310001,32.810001,33.080002,33.080002,15086700\n2013-10-25,32.310001,32.950001,32.000000,32.250000,32.250000,22290000\n2013-10-28,32.090000,32.700001,31.700001,32.349998,32.349998,18325700\n2013-10-29,33.070000,34.000000,32.820000,33.169998,33.169998,29349200\n2013-10-30,33.330002,33.480000,32.380001,32.570000,32.570000,14292300\n2013-10-31,32.430000,33.119999,32.279999,32.939999,32.939999,15301900\n2013-11-01,33.150002,33.349998,33.000000,33.180000,33.180000,15201400\n2013-11-04,33.200001,33.660000,33.009998,33.189999,33.189999,15778500\n2013-11-05,33.029999,33.080002,32.549999,32.970001,32.970001,13471100\n2013-11-06,33.070000,33.299999,32.709999,32.880001,32.880001,10826400\n2013-11-07,32.990002,33.049999,32.060001,32.110001,32.110001,16861300\n2013-11-08,32.230000,33.119999,32.200001,33.119999,33.119999,15082800\n2013-11-11,33.570000,33.990002,33.250000,33.820000,33.820000,15846800\n2013-11-12,34.000000,34.520000,33.880001,34.070000,34.070000,18227600\n2013-11-13,33.820000,35.119999,33.630001,35.099998,35.099998,21359400\n2013-11-14,35.070000,35.889999,34.759998,35.689999,35.689999,21411400\n2013-11-15,35.799999,35.939999,35.299999,35.470001,35.470001,15615700\n2013-11-18,35.650002,36.189999,34.509998,34.980000,34.980000,19070000\n2013-11-19,35.029999,35.169998,34.509998,34.630001,34.630001,14955300\n2013-11-20,35.430000,36.220001,35.220001,35.619999,35.619999,32439800\n2013-11-21,36.230000,36.660000,36.220001,36.299999,36.299999,26425000\n2013-11-22,36.189999,36.630001,35.959999,36.490002,36.490002,13247500\n2013-11-25,36.779999,36.849998,35.959999,36.290001,36.290001,15159800\n2013-11-26,36.320000,36.750000,36.110001,36.639999,36.639999,10458300\n2013-11-27,36.700001,37.119999,36.509998,36.959999,36.959999,10427500\n2013-11-29,36.910000,37.349998,36.900002,36.980000,36.980000,6455400\n2013-12-02,37.040001,37.150002,36.680000,37.009998,37.009998,11573000\n2013-12-03,36.770000,37.070000,36.340000,36.560001,36.560001,14098300\n2013-12-04,36.470001,38.150002,36.250000,38.130001,38.130001,26139700\n2013-12-05,38.240002,39.310001,38.049999,38.869999,38.869999,27662000\n2013-12-06,39.240002,39.279999,38.529999,38.860001,38.860001,22215000\n2013-12-09,39.130001,39.200001,38.570000,38.869999,38.869999,14386300\n2013-12-10,38.919998,40.250000,38.919998,40.220001,40.220001,25479700\n2013-12-11,39.900002,40.160000,38.919998,39.160000,39.160000,20915200\n2013-12-12,39.020000,40.000000,39.000000,39.349998,39.349998,16184600\n2013-12-13,39.610001,40.200001,39.560001,39.730000,39.730000,13773700\n2013-12-16,39.970001,40.270000,39.599998,39.730000,39.730000,11439100\n2013-12-17,39.990002,40.000000,39.400002,39.509998,39.509998,9842000\n2013-12-18,39.529999,40.040001,38.820000,40.040001,40.040001,16844000\n2013-12-19,40.040001,40.380001,39.910000,40.200001,40.200001,10710200\n2013-12-20,40.389999,40.599998,40.110001,40.119999,40.119999,24637200\n2013-12-23,40.250000,40.799999,40.130001,40.770000,40.770000,7447900\n2013-12-24,40.910000,40.950001,40.660000,40.849998,40.849998,5113900\n2013-12-26,41.000000,41.049999,40.220001,40.650002,40.650002,7364600\n2013-12-27,40.720001,40.750000,40.320000,40.490002,40.490002,6138700\n2013-12-30,40.459999,40.580002,39.849998,40.200001,40.200001,8676800\n2013-12-31,40.169998,40.500000,40.000000,40.439999,40.439999,8291400\n2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200\n2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200\n2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500\n2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000\n2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200\n2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300\n2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700\n2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200\n2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900\n2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500\n2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200\n2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500\n2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400\n2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600\n2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300\n2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000\n2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000\n2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300\n2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500\n2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700\n2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400\n2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200\n2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500\n2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900\n2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000\n2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500\n2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900\n2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000\n2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500\n2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100\n2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800\n2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400\n2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900\n2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900\n2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900\n2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900\n2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900\n2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900\n2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400\n2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100\n2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700\n2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400\n2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800\n2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700\n2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500\n2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200\n2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300\n2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700\n2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700\n2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300\n2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300\n2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700\n2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600\n2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000\n2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200\n2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000\n2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100\n2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800\n2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600\n2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900\n2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200\n2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000\n2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800\n2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800\n2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900\n2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200\n2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100\n2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200\n2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900\n2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700\n2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600\n2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400\n2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100\n2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700\n2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400\n2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200\n2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700\n2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300\n2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600\n2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200\n2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000\n2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500\n2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700\n2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100\n2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100\n2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000\n2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700\n2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700\n2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400\n2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600\n2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100\n2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000\n2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800\n2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100\n2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700\n2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700\n2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500\n2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800\n2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400\n2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000\n2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500\n2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800\n2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000\n2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900\n2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500\n2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100\n2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800\n2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200\n2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000\n2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300\n2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500\n2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100\n2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300\n2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300\n2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900\n2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000\n2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000\n2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800\n2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400\n2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800\n2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400\n2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000\n2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600\n2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100\n2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600\n2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600\n2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900\n2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800\n2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900\n2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900\n2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800\n2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500\n2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500\n2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600\n2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600\n2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900\n2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900\n2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000\n2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600\n2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500\n2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000\n2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800\n2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200\n2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900\n2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700\n2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400\n2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000\n2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200\n2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400\n2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500\n2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600\n2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700\n2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100\n2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700\n2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300\n2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300\n2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900\n2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200\n2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900\n2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300\n2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900\n2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100\n2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400\n2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800\n2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000\n2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600\n2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100\n2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300\n2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900\n2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300\n2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400\n2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200\n2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000\n2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800\n2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000\n2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500\n2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900\n2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700\n2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500\n2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100\n2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100\n2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100\n2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300\n2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100\n2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500\n2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200\n2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300\n2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500\n2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900\n2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400\n2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700\n2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100\n2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300\n2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500\n2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600\n2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500\n2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900\n2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000\n2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500\n2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500\n2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000\n2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400\n2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200\n2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900\n2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400\n2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800\n2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500\n2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300\n2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100\n2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600\n2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800\n2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500\n2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500\n2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500\n2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000\n2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700\n2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300\n2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300\n2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700\n2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200\n2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700\n2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800\n2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300\n2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000\n2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000\n2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000\n2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500\n2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600\n2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500\n2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700\n2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900\n2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600\n2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000\n2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700\n2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100\n2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100\n2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600\n2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100\n2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200\n2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500\n2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500\n2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300\n2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300\n2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900\n2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200\n2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100\n2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000\n2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900\n2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700\n2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500\n2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500\n2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000\n"
  },
  {
    "path": "datas/yhoo-1996-2015.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n1996-04-12,1.052083,1.791667,1.020833,1.375000,1.375000,408720000\n1996-04-15,1.489583,1.500000,1.250000,1.343750,1.343750,79219200\n1996-04-16,1.343750,1.343750,1.166667,1.197917,1.197917,48016000\n1996-04-17,1.177083,1.177083,1.031250,1.125000,1.125000,42816000\n1996-04-18,1.255208,1.255208,1.166667,1.218750,1.218750,27268800\n1996-04-19,1.255208,1.281250,1.197917,1.203125,1.203125,12913600\n1996-04-22,1.208333,1.208333,1.145833,1.177083,1.177083,8041600\n1996-04-23,1.197917,1.208333,1.166667,1.166667,1.166667,4297600\n1996-04-24,1.187500,1.213542,1.156250,1.208333,1.208333,7795200\n1996-04-25,1.250000,1.343750,1.208333,1.302083,1.302083,19478400\n1996-04-26,1.333333,1.343750,1.302083,1.322917,1.322917,7561600\n1996-04-29,1.312500,1.333333,1.270833,1.291667,1.291667,5928000\n1996-04-30,1.302083,1.312500,1.229167,1.239583,1.239583,5003200\n1996-05-01,1.260417,1.322917,1.250000,1.317708,1.317708,4881600\n1996-05-02,1.312500,1.385417,1.312500,1.369792,1.369792,9731200\n1996-05-03,1.343750,1.354167,1.302083,1.333333,1.333333,6116800\n1996-05-06,1.354167,1.354167,1.223958,1.255208,1.255208,8214400\n1996-05-07,1.250000,1.281250,1.239583,1.265625,1.265625,5569600\n1996-05-08,1.270833,1.281250,1.213542,1.260417,1.260417,6288000\n1996-05-09,1.250000,1.281250,1.239583,1.281250,1.281250,4032000\n1996-05-10,1.281250,1.322917,1.270833,1.302083,1.302083,5875200\n1996-05-13,1.307292,1.312500,1.250000,1.260417,1.260417,2747200\n1996-05-14,1.281250,1.291667,1.229167,1.229167,1.229167,4003200\n1996-05-15,1.250000,1.281250,1.239583,1.260417,1.260417,2200000\n1996-05-16,1.239583,1.270833,1.239583,1.260417,1.260417,3390400\n1996-05-17,1.260417,1.270833,1.239583,1.250000,1.250000,2448000\n1996-05-20,1.250000,1.265625,1.208333,1.208333,1.208333,4257600\n1996-05-21,1.208333,1.213542,1.156250,1.166667,1.166667,4048000\n1996-05-22,1.166667,1.166667,1.125000,1.145833,1.145833,2563200\n1996-05-23,1.145833,1.229167,1.145833,1.229167,1.229167,2918400\n1996-05-24,1.229167,1.250000,1.197917,1.229167,1.229167,2491200\n1996-05-28,1.218750,1.234375,1.187500,1.208333,1.208333,2224000\n1996-05-29,1.197917,1.197917,1.125000,1.145833,1.145833,3726400\n1996-05-30,1.145833,1.208333,1.145833,1.177083,1.177083,3038400\n1996-05-31,1.197917,1.197917,1.135417,1.166667,1.166667,1734400\n1996-06-03,1.156250,1.166667,1.135417,1.135417,1.135417,1142400\n1996-06-04,1.135417,1.166667,1.130208,1.130208,1.130208,2468800\n1996-06-05,1.145833,1.145833,1.125000,1.130208,1.130208,1166400\n1996-06-06,1.187500,1.197917,1.145833,1.156250,1.156250,3873600\n1996-06-07,1.135417,1.135417,1.104167,1.119792,1.119792,3457600\n1996-06-10,1.119792,1.119792,1.088542,1.104167,1.104167,1849600\n1996-06-11,1.088542,1.104167,1.062500,1.062500,1.062500,4243200\n1996-06-12,1.072917,1.114583,1.072917,1.083333,1.083333,2608000\n1996-06-13,1.072917,1.093750,1.020833,1.062500,1.062500,5668800\n1996-06-14,1.031250,1.062500,1.031250,1.031250,1.031250,2046400\n1996-06-17,1.031250,1.041667,0.937500,0.958333,0.958333,3249600\n1996-06-18,0.906250,0.927083,0.854167,0.854167,0.854167,5564800\n1996-06-19,0.875000,0.895833,0.854167,0.864583,0.864583,4033600\n1996-06-20,0.875000,0.906250,0.854167,0.906250,0.906250,2958400\n1996-06-21,0.927083,0.947917,0.906250,0.927083,0.927083,2544000\n1996-06-24,0.927083,0.927083,0.906250,0.906250,0.906250,633600\n1996-06-25,0.906250,0.927083,0.895833,0.906250,0.906250,993600\n1996-06-26,0.895833,0.916667,0.864583,0.875000,0.875000,1488000\n1996-06-27,0.885417,0.916667,0.760417,0.760417,0.760417,7392000\n1996-06-28,0.812500,0.875000,0.791667,0.875000,0.875000,4067200\n1996-07-01,0.854167,0.927083,0.854167,0.906250,0.906250,2286400\n1996-07-02,0.927083,0.927083,0.885417,0.885417,0.885417,984000\n1996-07-03,0.906250,0.906250,0.854167,0.875000,0.875000,1384000\n1996-07-05,0.833333,0.859375,0.822917,0.833333,0.833333,748800\n1996-07-08,0.833333,0.833333,0.802083,0.833333,0.833333,1211200\n1996-07-09,0.812500,0.833333,0.770833,0.770833,0.770833,2112000\n1996-07-10,0.781250,0.781250,0.666667,0.682292,0.682292,5899200\n1996-07-11,0.666667,0.718750,0.645833,0.718750,0.718750,3510400\n1996-07-12,0.708333,0.750000,0.708333,0.729167,0.729167,1696000\n1996-07-15,0.750000,0.770833,0.729167,0.744792,0.744792,1900800\n1996-07-16,0.739583,0.770833,0.723958,0.750000,0.750000,3726400\n1996-07-17,0.755208,0.802083,0.739583,0.802083,0.802083,1849600\n1996-07-18,0.812500,0.828125,0.781250,0.802083,0.802083,1608000\n1996-07-19,0.828125,0.828125,0.781250,0.786458,0.786458,1235200\n1996-07-22,0.791667,0.791667,0.729167,0.750000,0.750000,1132800\n1996-07-23,0.729167,0.750000,0.677083,0.677083,0.677083,1881600\n1996-07-24,0.677083,0.682292,0.645833,0.656250,0.656250,888000\n1996-07-25,0.656250,0.697917,0.656250,0.677083,0.677083,1283200\n1996-07-26,0.677083,0.692708,0.656250,0.692708,0.692708,600000\n1996-07-29,0.677083,0.692708,0.671875,0.671875,0.671875,371200\n1996-07-30,0.677083,0.729167,0.677083,0.708333,0.708333,686400\n1996-07-31,0.708333,0.750000,0.708333,0.750000,0.750000,931200\n1996-08-01,0.750000,0.791667,0.729167,0.791667,0.791667,1388800\n1996-08-02,0.770833,0.802083,0.770833,0.786458,0.786458,1168000\n1996-08-05,0.791667,0.807292,0.786458,0.786458,0.786458,510400\n1996-08-06,0.802083,0.802083,0.755208,0.755208,0.755208,817600\n1996-08-07,0.744792,0.760417,0.739583,0.750000,0.750000,971200\n1996-08-08,0.750000,0.770833,0.739583,0.770833,0.770833,1748800\n1996-08-09,0.723958,0.739583,0.687500,0.739583,0.739583,1833600\n1996-08-12,0.729167,0.729167,0.708333,0.718750,0.718750,864000\n1996-08-13,0.708333,0.854167,0.708333,0.828125,0.828125,10464000\n1996-08-14,0.838542,0.859375,0.833333,0.848958,0.848958,4852800\n1996-08-15,0.848958,0.848958,0.817708,0.828125,0.828125,1177600\n1996-08-16,0.812500,0.828125,0.796875,0.807292,0.807292,864000\n1996-08-19,0.807292,0.817708,0.807292,0.817708,0.817708,428800\n1996-08-20,0.817708,0.817708,0.796875,0.796875,0.796875,494400\n1996-08-21,0.796875,0.802083,0.760417,0.776042,0.776042,688000\n1996-08-22,0.776042,0.833333,0.760417,0.828125,0.828125,1921600\n1996-08-23,0.822917,0.843750,0.822917,0.822917,0.822917,1024000\n1996-08-26,0.838542,0.838542,0.822917,0.822917,0.822917,388800\n1996-08-27,0.822917,0.848958,0.822917,0.838542,0.838542,1897600\n1996-08-28,0.838542,0.921875,0.838542,0.880208,0.880208,5193600\n1996-08-29,0.869792,0.880208,0.822917,0.822917,0.822917,1987200\n1996-08-30,0.828125,0.838542,0.807292,0.817708,0.817708,913600\n1996-09-03,0.791667,0.807292,0.781250,0.791667,0.791667,1012800\n1996-09-04,0.791667,0.802083,0.776042,0.786458,0.786458,528000\n1996-09-05,0.765625,0.776042,0.765625,0.765625,0.765625,148800\n1996-09-06,0.760417,0.776042,0.755208,0.765625,0.765625,753600\n1996-09-09,0.755208,0.786458,0.755208,0.781250,0.781250,835200\n1996-09-10,0.781250,0.796875,0.770833,0.770833,0.770833,907200\n1996-09-11,0.781250,0.791667,0.770833,0.786458,0.786458,1267200\n1996-09-12,0.781250,0.812500,0.781250,0.812500,0.812500,1374400\n1996-09-13,0.828125,0.869792,0.822917,0.859375,0.859375,3193600\n1996-09-16,0.859375,0.875000,0.854167,0.859375,0.859375,1382400\n1996-09-17,0.880208,0.901042,0.864583,0.901042,0.901042,2665600\n1996-09-18,0.895833,0.901042,0.848958,0.864583,0.864583,1977600\n1996-09-19,0.864583,0.895833,0.854167,0.895833,0.895833,1761600\n1996-09-20,0.895833,1.000000,0.890625,1.000000,1.000000,7460800\n1996-09-23,0.994792,1.026042,0.989583,0.992188,0.992188,5332800\n1996-09-24,0.989583,0.994792,0.937500,0.947917,0.947917,3774400\n1996-09-25,0.937500,0.942708,0.901042,0.911458,0.911458,2040000\n1996-09-26,0.901042,0.921875,0.901042,0.911458,0.911458,1067200\n1996-09-27,0.911458,0.921875,0.895833,0.906250,0.906250,688000\n1996-09-30,0.906250,0.906250,0.885417,0.885417,0.885417,849600\n1996-10-01,0.875000,0.885417,0.796875,0.817708,0.817708,4105600\n1996-10-02,0.848958,0.942708,0.848958,0.906250,0.906250,5827200\n1996-10-03,0.921875,0.979167,0.916667,0.942708,0.942708,4324800\n1996-10-04,0.963542,0.968750,0.916667,0.916667,0.916667,2046400\n1996-10-07,0.916667,0.942708,0.916667,0.927083,0.927083,715200\n1996-10-08,0.932292,0.942708,0.869792,0.869792,0.869792,2299200\n1996-10-09,0.869792,0.937500,0.869792,0.937500,0.937500,2366400\n1996-10-10,0.947917,0.953125,0.848958,0.854167,0.854167,8673600\n1996-10-11,0.848958,0.869792,0.848958,0.859375,0.859375,2382400\n1996-10-14,0.869792,0.901042,0.859375,0.901042,0.901042,6452800\n1996-10-15,0.895833,0.906250,0.875000,0.895833,0.895833,3884800\n1996-10-16,0.890625,0.901042,0.875000,0.880208,0.880208,2702400\n1996-10-17,0.880208,0.921875,0.880208,0.916667,0.916667,3504000\n1996-10-18,0.927083,0.927083,0.906250,0.916667,0.916667,2582400\n1996-10-21,0.906250,0.927083,0.906250,0.911458,0.911458,2232000\n1996-10-22,0.911458,0.921875,0.885417,0.885417,0.885417,1868800\n1996-10-23,0.885417,0.895833,0.875000,0.880208,0.880208,1492800\n1996-10-24,0.875000,0.880208,0.869792,0.869792,0.869792,1244800\n1996-10-25,0.869792,0.875000,0.854167,0.854167,0.854167,1984000\n1996-10-28,0.854167,0.864583,0.854167,0.859375,0.859375,558400\n1996-10-29,0.859375,0.864583,0.854167,0.854167,0.854167,625600\n1996-10-30,0.854167,0.859375,0.838542,0.838542,0.838542,969600\n1996-10-31,0.833333,0.843750,0.812500,0.822917,0.822917,1646400\n1996-11-01,0.812500,0.822917,0.812500,0.812500,0.812500,340800\n1996-11-04,0.812500,0.822917,0.791667,0.791667,0.791667,995200\n1996-11-05,0.791667,0.802083,0.734375,0.760417,0.760417,2982400\n1996-11-06,0.750000,0.770833,0.744792,0.750000,0.750000,1656000\n1996-11-07,0.744792,0.765625,0.744792,0.755208,0.755208,932800\n1996-11-08,0.755208,0.812500,0.755208,0.812500,0.812500,2179200\n1996-11-11,0.812500,0.843750,0.812500,0.838542,0.838542,2348800\n1996-11-12,0.828125,0.838542,0.817708,0.822917,0.822917,712000\n1996-11-13,0.822917,0.822917,0.776042,0.791667,0.791667,1340800\n1996-11-14,0.791667,0.791667,0.755208,0.757813,0.757813,1681600\n1996-11-15,0.765625,0.776042,0.760417,0.770833,0.770833,1192000\n1996-11-18,0.760417,0.770833,0.744792,0.755208,0.755208,1729600\n1996-11-19,0.755208,0.755208,0.739583,0.744792,0.744792,2137600\n1996-11-20,0.744792,0.755208,0.734375,0.739583,0.739583,1022400\n1996-11-21,0.734375,0.739583,0.718750,0.723958,0.723958,1588800\n1996-11-22,0.729167,0.734375,0.718750,0.734375,0.734375,1124800\n1996-11-25,0.734375,0.802083,0.723958,0.796875,0.796875,6734400\n1996-11-26,0.802083,0.822917,0.786458,0.786458,0.786458,3419200\n1996-11-27,0.791667,0.791667,0.770833,0.773438,0.773438,1057600\n1996-11-29,0.770833,0.796875,0.770833,0.796875,0.796875,803200\n1996-12-02,0.781250,0.796875,0.781250,0.791667,0.791667,1081600\n1996-12-03,0.781250,0.859375,0.781250,0.833333,0.833333,9120000\n1996-12-04,0.828125,0.848958,0.822917,0.822917,0.822917,1633600\n1996-12-05,0.822917,0.921875,0.822917,0.888021,0.888021,8190400\n1996-12-06,0.843750,0.906250,0.828125,0.854167,0.854167,5596800\n1996-12-09,0.848958,0.890625,0.843750,0.885417,0.885417,3827200\n1996-12-10,0.885417,0.890625,0.843750,0.843750,0.843750,2521600\n1996-12-11,0.828125,0.828125,0.796875,0.807292,0.807292,2592000\n1996-12-12,0.812500,0.838542,0.791667,0.833333,0.833333,2851200\n1996-12-13,0.812500,0.843750,0.812500,0.828125,0.828125,1353600\n1996-12-16,0.833333,0.843750,0.776042,0.781250,0.781250,1886400\n1996-12-17,0.776042,0.781250,0.744792,0.755208,0.755208,1732800\n1996-12-18,0.750000,0.807292,0.744792,0.765625,0.765625,5496000\n1996-12-19,0.770833,0.776042,0.744792,0.750000,0.750000,2049600\n1996-12-20,0.755208,0.755208,0.708333,0.708333,0.708333,4926400\n1996-12-23,0.729167,0.770833,0.723958,0.747396,0.747396,3619200\n1996-12-24,0.755208,0.755208,0.739583,0.755208,0.755208,715200\n1996-12-26,0.750000,0.760417,0.744792,0.744792,0.744792,1513600\n1996-12-27,0.760417,0.781250,0.744792,0.760417,0.760417,1806400\n1996-12-30,0.760417,0.760417,0.739583,0.750000,0.750000,1396800\n1996-12-31,0.729167,0.734375,0.697917,0.708333,0.708333,3923200\n1997-01-02,0.708333,0.729167,0.697917,0.729167,0.729167,2579200\n1997-01-03,0.734375,0.781250,0.729817,0.765625,0.765625,2180800\n1997-01-06,0.796875,0.828125,0.791667,0.828125,0.828125,6640000\n1997-01-07,0.828125,0.854167,0.809896,0.838542,0.838542,5008000\n1997-01-08,0.841146,0.848958,0.781250,0.786458,0.786458,2924800\n1997-01-09,0.786458,0.822917,0.786458,0.807292,0.807292,4907200\n1997-01-10,0.791667,0.802083,0.791667,0.802083,0.802083,2577600\n1997-01-13,0.828125,0.921875,0.822917,0.906250,0.906250,18164800\n1997-01-14,0.911458,0.911458,0.869792,0.869792,0.869792,5376000\n1997-01-15,0.958333,1.083333,0.953125,1.057292,1.057292,50636800\n1997-01-16,1.057292,1.125000,1.031250,1.088542,1.088542,20267200\n1997-01-17,1.083333,1.119792,1.036458,1.109375,1.109375,24388800\n1997-01-20,1.104167,1.302083,1.104167,1.229167,1.229167,36244800\n1997-01-21,1.203125,1.343750,1.192708,1.328125,1.328125,30428800\n1997-01-22,1.317708,1.385417,1.291667,1.328125,1.328125,29809600\n1997-01-23,1.338542,1.468750,1.338542,1.468750,1.468750,28028800\n1997-01-24,1.442708,1.458333,1.333333,1.380208,1.380208,28099200\n1997-01-27,1.380208,1.557292,1.380208,1.518229,1.518229,41558400\n1997-01-28,1.526042,1.526042,1.317708,1.359375,1.359375,27313600\n1997-01-29,1.359375,1.406250,1.328125,1.401042,1.401042,17718400\n1997-01-30,1.375000,1.473958,1.354167,1.421875,1.421875,21408000\n1997-01-31,1.437500,1.463542,1.406250,1.411458,1.411458,6904000\n1997-02-03,1.411458,1.458333,1.395833,1.453125,1.453125,16043200\n1997-02-04,1.442708,1.510417,1.416667,1.442708,1.442708,13686400\n1997-02-05,1.432292,1.458333,1.380208,1.411458,1.411458,7427200\n1997-02-06,1.395833,1.421875,1.328125,1.343750,1.343750,11481600\n1997-02-07,1.322917,1.322917,1.239583,1.255208,1.255208,18787200\n1997-02-10,1.255208,1.265625,1.197917,1.213542,1.213542,9270400\n1997-02-11,1.218750,1.307292,1.218750,1.307292,1.307292,12691200\n1997-02-12,1.338542,1.510417,1.312500,1.484375,1.484375,28483200\n1997-02-13,1.479167,1.505208,1.437500,1.494792,1.494792,17510400\n1997-02-14,1.479167,1.489583,1.390625,1.432292,1.432292,10555200\n1997-02-18,1.427083,1.437500,1.317708,1.421875,1.421875,10705600\n1997-02-19,1.416667,1.416667,1.343750,1.375000,1.375000,9553600\n1997-02-20,1.364583,1.375000,1.302083,1.328125,1.328125,7259200\n1997-02-21,1.333333,1.338542,1.281250,1.296875,1.296875,6304000\n1997-02-24,1.302083,1.375000,1.265625,1.265625,1.265625,9985600\n1997-02-25,1.302083,1.416667,1.291667,1.348958,1.348958,13734400\n1997-02-26,1.333333,1.348958,1.281250,1.302083,1.302083,12100800\n1997-02-27,1.302083,1.317708,1.270833,1.270833,1.270833,4944000\n1997-02-28,1.276042,1.286458,1.234375,1.260417,1.260417,8812800\n1997-03-03,1.244792,1.328125,1.239583,1.250000,1.250000,10776000\n1997-03-04,1.255208,1.255208,1.192708,1.195313,1.195313,7508800\n1997-03-05,1.192708,1.197917,1.109375,1.125000,1.125000,12091200\n1997-03-06,1.114583,1.135417,1.062500,1.093750,1.093750,12792000\n1997-03-07,1.093750,1.140625,1.088542,1.135417,1.135417,6217600\n1997-03-10,1.135417,1.135417,1.104167,1.109375,1.109375,3513600\n1997-03-11,1.114583,1.140625,1.083333,1.083333,1.083333,7019200\n1997-03-12,1.083333,1.114583,1.041667,1.067708,1.067708,7958400\n1997-03-13,1.067708,1.067708,0.947917,0.950521,0.950521,13540800\n1997-03-14,0.963542,1.057292,0.932292,1.052083,1.052083,11526400\n1997-03-17,1.062500,1.098958,0.937500,0.963542,0.963542,24931200\n1997-03-18,0.968750,1.005208,0.916667,0.942708,0.942708,11500800\n1997-03-19,0.947917,1.057292,0.942708,1.031250,1.031250,21164800\n1997-03-20,1.130208,1.229167,1.125000,1.208333,1.208333,29731200\n1997-03-21,1.223958,1.276042,1.104167,1.197917,1.197917,27048000\n1997-03-24,1.197917,1.250000,1.135417,1.197917,1.197917,14780800\n1997-03-25,1.223958,1.255208,1.125000,1.169271,1.169271,10316800\n1997-03-26,1.171875,1.250000,1.151042,1.234375,1.234375,10580800\n1997-03-27,1.250000,1.250000,1.177083,1.190104,1.190104,7811200\n1997-03-31,1.203125,1.203125,1.125000,1.171875,1.171875,5640000\n1997-04-01,1.161458,1.229167,1.156250,1.229167,1.229167,6278400\n1997-04-02,1.223958,1.250000,1.187500,1.247396,1.247396,7403200\n1997-04-03,1.250000,1.281250,1.169271,1.218750,1.218750,9009600\n1997-04-04,1.213542,1.348958,1.213542,1.317708,1.317708,17539200\n1997-04-07,1.364583,1.427083,1.322917,1.401042,1.401042,23224000\n1997-04-08,1.401042,1.406250,1.333333,1.385417,1.385417,10574400\n1997-04-09,1.442708,1.500000,1.432292,1.434896,1.434896,25516800\n1997-04-10,1.453125,1.458333,1.307292,1.361979,1.361979,34768000\n1997-04-11,1.312500,1.437500,1.286458,1.429688,1.429688,21049600\n1997-04-14,1.411458,1.432292,1.348958,1.369792,1.369792,10651200\n1997-04-15,1.375000,1.421875,1.291667,1.304688,1.304688,14208000\n1997-04-16,1.291667,1.348958,1.270833,1.304688,1.304688,16086400\n1997-04-17,1.312500,1.401042,1.302083,1.351563,1.351563,10315200\n1997-04-18,1.380208,1.390625,1.281250,1.291667,1.291667,10238400\n1997-04-21,1.270833,1.291667,1.114583,1.177083,1.177083,12880000\n1997-04-22,1.170571,1.171875,1.031250,1.143229,1.143229,27371200\n1997-04-23,1.156250,1.307292,1.151042,1.302083,1.302083,13531200\n1997-04-24,1.302083,1.307292,1.239583,1.270833,1.270833,17889600\n1997-04-25,1.276042,1.276042,1.260417,1.260417,1.260417,6452800\n1997-04-28,1.260417,1.369792,1.250000,1.307292,1.307292,12057600\n1997-04-29,1.317708,1.333333,1.281250,1.322917,1.322917,20836800\n1997-04-30,1.328125,1.442708,1.307292,1.421875,1.421875,23041600\n1997-05-01,1.437500,1.437500,1.359375,1.416667,1.416667,9956800\n1997-05-02,1.406250,1.479167,1.406250,1.458333,1.458333,13300800\n1997-05-05,1.479167,1.541667,1.458333,1.500000,1.500000,16374400\n1997-05-06,1.473958,1.479167,1.333333,1.372396,1.372396,19278400\n1997-05-07,1.359375,1.447917,1.354167,1.395833,1.395833,16603200\n1997-05-08,1.411458,1.479167,1.406250,1.421875,1.421875,7969600\n1997-05-09,1.432292,1.453125,1.403646,1.406250,1.406250,9508800\n1997-05-12,1.416667,1.416667,1.333333,1.364583,1.364583,9524800\n1997-05-13,1.364583,1.364583,1.244792,1.265625,1.265625,25048000\n1997-05-14,1.270833,1.322917,1.250000,1.260417,1.260417,14406400\n1997-05-15,1.260417,1.296875,1.255208,1.296875,1.296875,11044800\n1997-05-16,1.276042,1.348958,1.265625,1.328125,1.328125,12323200\n1997-05-19,1.322917,1.346354,1.307292,1.343750,1.343750,6510400\n1997-05-20,1.338542,1.354167,1.322917,1.351563,1.351563,6846400\n1997-05-21,1.348958,1.421875,1.338542,1.380208,1.380208,14593600\n1997-05-22,1.385417,1.385417,1.286458,1.304688,1.304688,5865600\n1997-05-23,1.302083,1.333333,1.296875,1.309896,1.309896,2622400\n1997-05-27,1.307292,1.348958,1.291667,1.320313,1.320313,2836800\n1997-05-28,1.317708,1.390625,1.302083,1.333333,1.333333,5318400\n1997-05-29,1.328125,1.354167,1.302083,1.328125,1.328125,5289600\n1997-05-30,1.312500,1.395833,1.286458,1.343750,1.343750,9692800\n1997-06-02,1.364583,1.395833,1.354167,1.380208,1.380208,3259200\n1997-06-03,1.380208,1.385417,1.330729,1.354167,1.354167,2300800\n1997-06-04,1.364583,1.375000,1.296875,1.312500,1.312500,2668800\n1997-06-05,1.338542,1.359375,1.333333,1.351563,1.351563,2003200\n1997-06-06,1.333333,1.375000,1.312500,1.333333,1.333333,6145600\n1997-06-09,1.333333,1.416667,1.333333,1.356771,1.356771,6096000\n1997-06-10,1.354167,1.380208,1.333333,1.348958,1.348958,5601600\n1997-06-11,1.348958,1.354167,1.286458,1.291667,1.291667,17387200\n1997-06-12,1.302083,1.338542,1.294271,1.333333,1.333333,5771200\n1997-06-13,1.333333,1.375000,1.333333,1.343750,1.343750,3307200\n1997-06-16,1.354167,1.468750,1.348958,1.445313,1.445313,15921600\n1997-06-17,1.447917,1.463542,1.411458,1.458333,1.458333,5377600\n1997-06-18,1.447917,1.473958,1.406250,1.421875,1.421875,8027200\n1997-06-19,1.437500,1.468750,1.406250,1.447917,1.447917,5457600\n1997-06-20,1.458333,1.640625,1.447917,1.635417,1.635417,22753600\n1997-06-23,1.588542,1.609375,1.494792,1.541667,1.541667,17841600\n1997-06-24,1.552083,1.578125,1.510417,1.549479,1.549479,6438400\n1997-06-25,1.565104,1.604167,1.541667,1.552083,1.552083,6720000\n1997-06-26,1.526042,1.531250,1.489583,1.510417,1.510417,5118400\n1997-06-27,1.505208,1.536458,1.427083,1.437500,1.437500,8419200\n1997-06-30,1.432292,1.479167,1.351563,1.468750,1.468750,14171200\n1997-07-01,1.458333,1.468750,1.406250,1.419271,1.419271,4000000\n1997-07-02,1.421875,1.437500,1.395833,1.406250,1.406250,5891200\n1997-07-03,1.432292,1.437500,1.395833,1.395833,1.395833,4416000\n1997-07-07,1.416667,1.572917,1.411458,1.572917,1.572917,14356800\n1997-07-08,1.572917,1.666667,1.567708,1.656250,1.656250,17337600\n1997-07-09,1.697917,1.880208,1.697917,1.833333,1.833333,37545600\n1997-07-10,1.890625,1.921875,1.739583,1.791667,1.791667,44035200\n1997-07-11,1.791667,1.880208,1.760417,1.833333,1.833333,15331200\n1997-07-14,1.833333,2.020833,1.828125,2.020833,2.020833,24980800\n1997-07-15,2.010417,2.114583,1.989583,2.104167,2.104167,33832000\n1997-07-16,2.135417,2.135417,2.041667,2.046875,2.046875,11449600\n1997-07-17,2.046875,2.046875,1.937500,1.953125,1.953125,12688000\n1997-07-18,1.932292,2.015625,1.869792,1.953125,1.953125,12059200\n1997-07-21,1.979167,2.083333,1.958333,2.067708,2.067708,11200000\n1997-07-22,2.072917,2.130208,2.010417,2.101563,2.101563,11822400\n1997-07-23,2.114583,2.114583,2.046875,2.046875,2.046875,7364800\n1997-07-24,2.041667,2.062500,1.947917,1.979167,1.979167,15115200\n1997-07-25,1.989583,2.005208,1.924479,1.994792,1.994792,9232000\n1997-07-28,2.010417,2.041667,1.979167,1.981771,1.981771,3806400\n1997-07-29,1.984375,2.010417,1.958333,2.010417,2.010417,4523200\n1997-07-30,2.072917,2.291667,2.067708,2.276042,2.276042,47521600\n1997-07-31,2.291667,2.354167,2.182292,2.354167,2.354167,33768000\n1997-08-01,2.333333,2.333333,2.223958,2.302083,2.302083,19910400\n1997-08-04,2.281250,2.281250,2.213542,2.223958,2.223958,12841600\n1997-08-05,2.239583,2.312500,2.218750,2.265625,2.265625,11304000\n1997-08-06,2.276042,2.333333,2.250000,2.291667,2.291667,7033600\n1997-08-07,2.312500,2.338542,2.239583,2.242188,2.242188,8430400\n1997-08-08,2.229167,2.276042,2.135417,2.250000,2.250000,13401600\n1997-08-11,2.250000,2.250000,2.156250,2.218750,2.218750,18528000\n1997-08-12,2.229167,2.260417,2.109375,2.122396,2.122396,10715200\n1997-08-13,2.125000,2.187500,2.067708,2.098958,2.098958,18326400\n1997-08-14,2.098958,2.125000,2.057292,2.065104,2.065104,5505600\n1997-08-15,2.062500,2.072917,2.020833,2.020833,2.020833,9004800\n1997-08-18,2.026042,2.187500,2.010417,2.182292,2.182292,18100800\n1997-08-19,2.192708,2.333333,2.187500,2.302083,2.302083,20222400\n1997-08-20,2.312500,2.406250,2.260417,2.390625,2.390625,21724800\n1997-08-21,2.395833,2.406250,2.302083,2.322917,2.322917,10432000\n1997-08-22,2.229167,2.338542,2.213542,2.320313,2.320313,12489600\n1997-08-25,2.333333,2.385417,2.328125,2.364583,2.364583,10302400\n1997-08-26,2.354167,2.364583,2.312500,2.328125,2.328125,6016000\n1997-08-27,2.328125,2.348958,2.281250,2.325521,2.325521,11371200\n1997-08-28,2.307292,2.403646,2.229167,2.338542,2.338542,24696000\n1997-08-29,2.354167,2.494792,2.343750,2.479167,2.479167,13696000\n1997-09-02,2.515625,2.546875,2.445313,2.492188,2.492188,10619200\n1997-09-03,2.523438,2.617188,2.492188,2.539063,2.539063,11555200\n1997-09-04,2.578125,2.648438,2.539063,2.609375,2.609375,9294400\n1997-09-05,2.640625,2.859375,2.625000,2.835938,2.835938,16643200\n1997-09-08,2.921875,3.070313,2.921875,2.949219,2.949219,21164800\n1997-09-09,3.007813,3.148438,3.000000,3.148438,3.148438,17556800\n1997-09-10,3.230469,3.375000,3.148438,3.332031,3.332031,23131200\n1997-09-11,3.312500,3.546875,3.281250,3.460938,3.460938,33902400\n1997-09-12,3.539063,3.625000,3.296875,3.371094,3.371094,22862400\n1997-09-15,3.312500,3.359375,3.000000,3.011719,3.011719,31624000\n1997-09-16,3.015625,3.195313,2.828125,3.195313,3.195313,37563200\n1997-09-17,3.218750,3.242188,2.960938,3.054688,3.054688,20712000\n1997-09-18,3.070313,3.140625,3.023438,3.109375,3.109375,12360000\n1997-09-19,3.093750,3.289063,3.078125,3.210938,3.210938,24308800\n1997-09-22,3.257813,3.460938,3.250000,3.351563,3.351563,17758400\n1997-09-23,3.382813,3.437500,3.132813,3.167969,3.167969,14896000\n1997-09-24,3.195313,3.320313,3.179688,3.218750,3.218750,12670400\n1997-09-25,3.234375,3.250000,3.046875,3.128906,3.128906,14795200\n1997-09-26,3.156250,3.234375,3.125000,3.140625,3.140625,10222400\n1997-09-29,3.156250,3.187500,3.085938,3.167969,3.167969,6649600\n1997-09-30,3.164063,3.164063,3.109375,3.132813,3.132813,3744000\n1997-10-01,3.140625,3.226563,3.132813,3.195313,3.195313,14475200\n1997-10-02,3.195313,3.437500,3.132813,3.437500,3.437500,22676800\n1997-10-03,3.437500,3.515625,3.359375,3.453125,3.453125,19518400\n1997-10-06,3.453125,3.664063,3.453125,3.640625,3.640625,15339200\n1997-10-07,3.609375,3.632813,3.445313,3.484375,3.484375,15825600\n1997-10-08,3.578125,3.625000,3.500000,3.546875,3.546875,32020800\n1997-10-09,3.468750,3.523438,3.421875,3.468750,3.468750,33960000\n1997-10-10,3.375000,3.468750,3.296875,3.300781,3.300781,18844800\n1997-10-13,3.320313,3.328125,3.140625,3.195313,3.195313,18051200\n1997-10-14,3.226563,3.289063,3.093750,3.187500,3.187500,14172800\n1997-10-15,3.171875,3.234375,3.140625,3.218750,3.218750,11564800\n1997-10-16,3.234375,3.320313,3.015625,3.039063,3.039063,21169600\n1997-10-17,3.015625,3.062500,2.843750,3.031250,3.031250,24849600\n1997-10-20,3.046875,3.078125,2.929688,3.054688,3.054688,20217600\n1997-10-21,3.109375,3.210938,3.101563,3.195313,3.195313,13385600\n1997-10-22,3.273438,3.335938,3.164063,3.308594,3.308594,14001600\n1997-10-23,3.171875,3.234375,3.078125,3.160156,3.160156,15209600\n1997-10-24,3.234375,3.234375,2.906250,2.972656,2.972656,15764800\n1997-10-27,2.937500,2.937500,2.375000,2.375000,2.375000,35051200\n1997-10-28,2.132813,2.921875,2.132813,2.695313,2.695313,51822400\n1997-10-29,2.781250,2.890625,2.523438,2.578125,2.578125,30163200\n1997-10-30,2.460938,2.703125,2.453125,2.605469,2.605469,17641600\n1997-10-31,2.695313,2.765625,2.656250,2.740231,2.740231,14144000\n1997-11-03,2.812500,2.906250,2.796875,2.880856,2.880856,13121600\n1997-11-04,2.851563,3.210938,2.781250,3.187500,3.187500,25473600\n1997-11-05,3.179688,3.406250,3.179688,3.351563,3.351563,39339200\n1997-11-06,3.312500,3.484375,3.265625,3.296875,3.296875,29057600\n1997-11-07,3.062500,3.234375,3.046875,3.093750,3.093750,23028800\n1997-11-10,3.101563,3.187500,3.000000,3.039063,3.039063,13699200\n1997-11-11,3.070313,3.093750,2.843750,2.875000,2.875000,20819200\n1997-11-12,2.796875,2.960938,2.679688,2.718750,2.718750,25264000\n1997-11-13,2.820313,2.906250,2.625000,2.855469,2.855469,29244800\n1997-11-14,2.875000,3.070313,2.875000,2.992188,2.992188,24700800\n1997-11-17,3.117188,3.296875,3.101563,3.250000,3.250000,25088000\n1997-11-18,3.226563,3.390625,3.210938,3.234375,3.234375,22524800\n1997-11-19,3.179688,3.226563,3.097656,3.164063,3.164063,13123200\n1997-11-20,3.203125,3.382813,3.179688,3.351563,3.351563,24377600\n1997-11-21,3.382813,3.406250,3.226563,3.304688,3.304688,12600000\n1997-11-24,3.281250,3.281250,3.007813,3.031250,3.031250,20104000\n1997-11-25,3.140625,3.234375,3.000000,3.175781,3.175781,29675200\n1997-11-26,3.234375,3.265625,3.140625,3.179688,3.179688,8777600\n1997-11-28,3.195313,3.218750,3.171875,3.195313,3.195313,2153600\n1997-12-01,3.218750,3.398438,3.203125,3.375000,3.375000,16558400\n1997-12-02,3.359375,3.429688,3.250000,3.312500,3.312500,15512000\n1997-12-03,3.281250,3.390625,3.242188,3.367188,3.367188,9440000\n1997-12-04,3.398438,3.437500,3.335938,3.363281,3.363281,10012800\n1997-12-05,3.347656,3.523438,3.289063,3.515625,3.515625,25928000\n1997-12-08,3.531250,3.734375,3.476563,3.726563,3.726563,30825600\n1997-12-09,3.679688,3.812500,3.625000,3.707031,3.707031,27473600\n1997-12-10,3.656250,3.710938,3.562500,3.679688,3.679688,14763200\n1997-12-11,3.562500,3.679688,3.523438,3.664063,3.664063,17451200\n1997-12-12,3.671875,3.750000,3.562500,3.718750,3.718750,14584000\n1997-12-15,3.750000,3.765625,3.531250,3.625000,3.625000,14430400\n1997-12-16,3.617188,3.781250,3.570313,3.769531,3.769531,13553600\n1997-12-17,3.781250,3.843750,3.718750,3.722656,3.722656,10875200\n1997-12-18,3.718750,3.718750,3.578125,3.632813,3.632813,12747200\n1997-12-19,3.593750,3.937500,3.515625,3.867188,3.867188,29721600\n1997-12-22,3.867188,4.085938,3.867188,4.027344,4.027344,23824000\n1997-12-23,4.000000,4.242188,3.976563,4.070313,4.070313,22833600\n1997-12-24,4.074219,4.125000,4.031250,4.031250,4.031250,6185600\n1997-12-26,4.019531,4.148438,4.015625,4.132813,4.132813,9587200\n1997-12-29,4.187500,4.312500,4.148438,4.308594,4.308594,15100800\n1997-12-30,4.304688,4.437500,4.250000,4.437500,4.437500,16508800\n1997-12-31,4.414063,4.429688,4.320313,4.328125,4.328125,15467200\n1998-01-02,4.328125,4.343750,4.062500,4.140625,4.140625,17828800\n1998-01-05,4.023438,4.085938,3.914063,3.933594,3.933594,26601600\n1998-01-06,3.859375,4.070313,3.828125,4.000000,4.000000,28688000\n1998-01-07,3.921875,4.054688,3.921875,3.988281,3.988281,15758400\n1998-01-08,4.000000,4.123044,3.921875,4.015625,4.015625,21748800\n1998-01-09,4.031250,4.078125,3.796875,3.867188,3.867188,30296000\n1998-01-12,3.750000,4.007813,3.687500,3.906250,3.906250,38262400\n1998-01-13,4.046875,4.265625,4.035156,4.111325,4.111325,52755200\n1998-01-14,4.171875,4.242188,4.125000,4.187500,4.187500,26678400\n1998-01-15,4.078125,4.171875,4.000000,4.083981,4.083981,27916800\n1998-01-16,4.125000,4.218750,4.062500,4.078125,4.078125,18288000\n1998-01-20,4.078125,4.078125,3.937500,4.031250,4.031250,35096000\n1998-01-21,4.007813,4.031250,3.929688,3.992188,3.992188,18336000\n1998-01-22,3.960938,4.000000,3.890625,3.894531,3.894531,11137600\n1998-01-23,3.921875,3.933594,3.820313,3.859375,3.859375,10700800\n1998-01-26,3.898438,3.906250,3.718750,3.742188,3.742188,10534400\n1998-01-27,3.765625,3.828125,3.750000,3.753906,3.753906,15113600\n1998-01-28,3.789063,3.789063,3.613281,3.628906,3.628906,29641600\n1998-01-29,3.625000,3.890625,3.601563,3.867188,3.867188,33180800\n1998-01-30,3.937500,4.031250,3.828125,3.960938,3.960938,32681600\n1998-02-02,4.015625,4.132813,3.992188,4.125000,4.125000,24558400\n1998-02-03,4.109375,4.132813,3.992188,4.052731,4.052731,33953600\n1998-02-04,4.039063,4.039063,3.949219,3.980469,3.980469,13721600\n1998-02-05,4.023438,4.054688,3.851563,3.890625,3.890625,18446400\n1998-02-06,3.882813,4.039063,3.851563,4.015625,4.015625,14387200\n1998-02-09,4.046875,4.078125,3.937500,3.993162,3.993162,16547200\n1998-02-10,4.000000,4.093750,3.937500,4.039063,4.039063,20785600\n1998-02-11,4.039063,4.109375,4.000000,4.068356,4.068356,11950400\n1998-02-12,4.015625,4.078125,3.984375,4.070313,4.070313,9059200\n1998-02-13,4.046875,4.171875,4.023438,4.046875,4.046875,13256000\n1998-02-17,4.031250,4.062500,3.968750,4.015625,4.015625,11427200\n1998-02-18,4.015625,4.046875,3.914063,3.968750,3.968750,11323200\n1998-02-19,3.968750,4.101563,3.953125,4.001950,4.001950,13486400\n1998-02-20,4.031250,4.046875,3.851563,4.007813,4.007813,12539200\n1998-02-23,4.023438,4.039063,3.933594,3.955075,3.955075,11187200\n1998-02-24,3.992188,3.992188,3.820313,3.845700,3.845700,14260800\n1998-02-25,3.867188,3.890625,3.804688,3.857419,3.857419,20102400\n1998-02-26,3.875000,4.281250,3.859375,4.257813,4.257813,39760000\n1998-02-27,4.265625,4.640625,4.234375,4.574219,4.574219,99968000\n1998-03-02,4.671875,4.683594,4.484375,4.574219,4.574219,32520000\n1998-03-03,4.500000,4.625000,4.421875,4.558594,4.558594,22182400\n1998-03-04,4.484375,4.531250,4.421875,4.476563,4.476563,22900800\n1998-03-05,4.343750,4.726563,4.296875,4.707031,4.707031,53112000\n1998-03-06,4.796875,5.109375,4.734375,5.035156,5.035156,52110400\n1998-03-09,5.109375,5.531250,5.101563,5.488281,5.488281,66227200\n1998-03-10,5.656250,5.773438,5.269531,5.468750,5.468750,105219200\n1998-03-11,5.335938,5.421875,5.187500,5.265625,5.265625,66195200\n1998-03-12,5.242188,5.312500,5.078125,5.125000,5.125000,69780800\n1998-03-13,5.140625,5.312500,5.093750,5.210938,5.210938,31441600\n1998-03-16,5.343750,5.406250,5.281250,5.312500,5.312500,24947200\n1998-03-17,5.320313,5.328125,5.164063,5.240231,5.240231,14350400\n1998-03-18,5.156250,5.429688,5.101563,5.392575,5.392575,41563200\n1998-03-19,5.359375,5.464844,5.242188,5.242188,5.242188,33745600\n1998-03-20,5.273438,5.308594,5.171875,5.197262,5.197262,18041600\n1998-03-23,5.156250,5.238281,5.148438,5.187500,5.187500,10816000\n1998-03-24,5.171875,5.437500,5.171875,5.425781,5.425781,28342400\n1998-03-25,5.507813,5.621094,5.460938,5.515625,5.515625,38163200\n1998-03-26,5.507813,5.656250,5.458981,5.558594,5.558594,27820800\n1998-03-27,5.636719,5.761719,5.546875,5.664063,5.664063,28928000\n1998-03-30,5.726563,5.890625,5.695313,5.816406,5.816406,30766400\n1998-03-31,5.875000,5.882813,5.734375,5.777344,5.777344,19136000\n1998-04-01,5.777344,6.113281,5.679688,6.113281,6.113281,39004800\n1998-04-02,6.187500,6.535156,6.156250,6.492188,6.492188,64988800\n1998-04-03,6.566406,6.609375,6.312500,6.402344,6.402344,58545600\n1998-04-06,6.484375,6.484375,6.156250,6.191406,6.191406,47131200\n1998-04-07,6.156250,6.156250,5.734375,5.828125,5.828125,81860800\n1998-04-08,5.875000,6.171875,5.867188,6.078125,6.078125,93374400\n1998-04-09,6.734375,7.171875,6.625000,7.156250,7.156250,176787200\n1998-04-13,7.031250,7.289063,6.800781,7.062500,7.062500,114054400\n1998-04-14,7.046875,7.390625,6.976563,7.179688,7.179688,77942400\n1998-04-15,7.296875,7.414063,7.238281,7.386719,7.386719,40574400\n1998-04-16,7.437500,8.101563,7.312500,8.024412,8.024412,146963200\n1998-04-17,7.726563,7.843750,7.507813,7.593750,7.593750,93952000\n1998-04-20,7.640625,8.054688,7.539063,7.859375,7.859375,67028800\n1998-04-21,7.921875,8.062500,7.625000,7.705075,7.705075,51115200\n1998-04-22,7.765625,7.789063,7.320313,7.398438,7.398438,57531200\n1998-04-23,7.226563,7.250000,6.941406,7.011719,7.011719,82996800\n1998-04-24,7.117188,7.359375,6.945313,7.171875,7.171875,78507200\n1998-04-27,6.976563,7.046875,6.832031,7.007813,7.007813,67828800\n1998-04-28,7.324219,7.460938,7.203125,7.406250,7.406250,75300800\n1998-04-29,7.375000,7.468750,7.285156,7.390625,7.390625,38995200\n1998-04-30,7.515625,7.601563,7.375000,7.433594,7.433594,35766400\n1998-05-01,7.460938,7.460938,7.296875,7.414063,7.414063,20518400\n1998-05-04,7.503906,7.625000,7.453125,7.554688,7.554688,15729600\n1998-05-05,7.398438,7.523438,7.281250,7.296875,7.296875,23513600\n1998-05-06,7.320313,7.328125,7.140625,7.191406,7.191406,22596800\n1998-05-07,7.187500,7.398438,7.156250,7.199219,7.199219,26564800\n1998-05-08,7.171875,7.359375,7.105469,7.359375,7.359375,26433600\n1998-05-11,7.414063,7.429688,7.125000,7.136719,7.136719,27179200\n1998-05-12,7.093750,7.281250,7.035156,7.230469,7.230469,33731200\n1998-05-13,7.250000,7.753906,7.203125,7.750000,7.750000,60171200\n1998-05-14,7.691406,7.898438,7.515625,7.515625,7.515625,57985600\n1998-05-15,7.625000,7.687500,7.359375,7.378906,7.378906,25552000\n1998-05-18,7.429688,7.464844,7.136719,7.285156,7.285156,33620800\n1998-05-19,7.359375,7.484375,7.296875,7.384762,7.384762,23678400\n1998-05-20,7.460938,7.460938,7.234375,7.304688,7.304688,15969600\n1998-05-21,7.406250,7.406250,7.234375,7.312500,7.312500,18348800\n1998-05-22,7.273438,7.296875,7.062500,7.148438,7.148438,15713600\n1998-05-26,7.195313,7.218750,6.757813,6.765625,6.765625,46486400\n1998-05-27,6.656250,7.203125,6.648438,7.195313,7.195313,103491200\n1998-05-28,7.132813,7.187500,6.867188,6.875000,6.875000,47590400\n1998-05-29,6.906250,7.000000,6.792969,6.843750,6.843750,36216000\n1998-06-01,6.765625,6.828125,6.343750,6.523438,6.523438,72801600\n1998-06-02,6.562500,6.609375,6.195313,6.550781,6.550781,114208000\n1998-06-03,6.609375,6.609375,6.351563,6.375000,6.375000,71544000\n1998-06-04,6.375000,6.507813,6.281250,6.414063,6.414063,49841600\n1998-06-05,6.406250,6.625000,6.343750,6.562500,6.562500,37105600\n1998-06-08,6.562500,6.843750,6.554688,6.835938,6.835938,33300800\n1998-06-09,6.941406,7.406250,6.859375,7.367188,7.367188,95710400\n1998-06-10,7.312500,7.453125,7.148438,7.152344,7.152344,69064000\n1998-06-11,7.195313,7.296875,7.089844,7.203125,7.203125,51329600\n1998-06-12,7.250000,7.250000,6.937500,7.113281,7.113281,48417600\n1998-06-15,6.992188,7.273438,6.968750,7.203125,7.203125,53963200\n1998-06-16,7.273438,7.648438,7.156250,7.621094,7.621094,63780800\n1998-06-17,7.789063,8.226563,7.765625,8.164063,8.164063,130657600\n1998-06-18,8.296875,8.523438,7.976563,7.984375,7.984375,81768000\n1998-06-19,7.945313,8.156250,7.796875,8.078125,8.078125,59110400\n1998-06-22,8.062500,8.773438,8.031250,8.722656,8.722656,81326400\n1998-06-23,8.703125,9.398438,8.625000,9.253906,9.253906,122494400\n1998-06-24,9.308594,9.500000,8.937500,9.296875,9.296875,96169600\n1998-06-25,9.281250,9.765625,9.187500,9.515625,9.515625,99208000\n1998-06-26,9.421875,9.601563,9.156250,9.292969,9.292969,67873600\n1998-06-29,9.343750,9.671875,9.335938,9.652344,9.652344,51121600\n1998-06-30,9.671875,9.984375,9.601563,9.843750,9.843750,63260800\n1998-07-01,10.007813,10.625000,10.000000,10.617188,10.617188,73984000\n1998-07-02,10.843750,11.218750,10.375000,10.804688,10.804688,119217600\n1998-07-06,11.179688,12.500000,11.058594,12.453125,12.453125,216720000\n1998-07-07,12.921875,12.968750,11.875000,11.937500,11.937500,198368000\n1998-07-08,11.562500,12.406250,10.937500,11.636719,11.636719,224849600\n1998-07-09,12.484375,12.750000,11.500000,11.500000,11.500000,207491200\n1998-07-10,11.335938,11.632813,11.101563,11.406250,11.406250,112896000\n1998-07-13,11.101563,11.789063,11.062500,11.773438,11.773438,85763200\n1998-07-14,11.796875,11.960938,11.500000,11.656250,11.656250,59248000\n1998-07-15,11.710938,11.710938,11.320313,11.359375,11.359375,36636800\n1998-07-16,11.398438,11.718750,11.226563,11.667969,11.667969,51748800\n1998-07-17,11.609375,11.835938,11.414063,11.609375,11.609375,46369600\n1998-07-20,11.656250,12.328125,11.546875,12.269531,12.269531,63902400\n1998-07-21,12.289063,12.964844,11.714844,11.812500,11.812500,115219200\n1998-07-22,11.875000,12.289063,11.781250,12.109375,12.109375,68036800\n1998-07-23,12.132813,12.421875,11.796875,11.835938,11.835938,43572800\n1998-07-24,11.968750,12.062500,11.101563,11.382813,11.382813,87747200\n1998-07-27,11.171875,11.843750,10.875000,11.824219,11.824219,83516800\n1998-07-28,11.781250,11.906250,11.390625,11.453125,11.453125,61753600\n1998-07-29,11.609375,11.664063,10.828125,10.847656,10.847656,66641600\n1998-07-30,11.085938,11.585938,10.656250,11.417969,11.417969,96512000\n1998-07-31,11.484375,11.562500,11.156250,11.371094,11.371094,63755200\n1998-08-03,11.250000,11.312500,10.765625,10.804688,10.804688,34780000\n1998-08-04,11.078125,11.218750,10.625000,10.640625,10.640625,42092800\n1998-08-05,10.734375,10.968750,9.875000,10.484375,10.484375,54120000\n1998-08-06,10.250000,11.046875,10.148438,10.921875,10.921875,36946400\n1998-08-07,11.078125,11.656250,10.914063,11.453125,11.453125,51663200\n1998-08-10,11.500000,11.750000,11.093750,11.750000,11.750000,34913600\n1998-08-11,11.210938,11.781250,11.046875,11.421875,11.421875,50840800\n1998-08-12,11.687500,12.039063,11.625000,11.921875,11.921875,42176000\n1998-08-13,11.890625,12.093750,11.578125,11.593750,11.593750,26801600\n1998-08-14,11.750000,11.796875,11.250000,11.468750,11.468750,25372000\n1998-08-17,11.359375,11.562500,11.250000,11.500000,11.500000,20256800\n1998-08-18,11.609375,12.250000,11.578125,12.156250,12.156250,42212800\n1998-08-19,12.359375,12.500000,11.859375,11.906250,11.906250,33248000\n1998-08-20,11.921875,12.234375,11.843750,12.187500,12.187500,23878400\n1998-08-21,12.015625,12.171875,11.656250,11.921875,11.921875,30939200\n1998-08-24,12.000000,12.250000,11.953125,12.210938,12.210938,21888000\n1998-08-25,12.367188,12.406250,11.968750,12.187500,12.187500,19356800\n1998-08-26,11.968750,12.117188,11.765625,12.109375,12.109375,22042400\n1998-08-27,11.812500,11.875000,11.343750,11.382813,11.382813,39107200\n1998-08-28,11.359375,11.546875,10.218750,10.382813,10.382813,62074400\n1998-08-31,10.375000,10.515625,8.312500,8.625000,8.625000,77024800\n1998-09-01,8.265625,9.562500,7.375000,9.031250,9.031250,96534400\n1998-09-02,9.625000,10.492188,9.328125,9.718750,9.718750,78278400\n1998-09-03,9.250000,9.734375,8.937500,9.398438,9.398438,63705600\n1998-09-04,9.617188,9.765625,9.062500,9.421875,9.421875,33694400\n1998-09-08,10.359375,10.625000,9.890625,10.578125,10.578125,54988000\n1998-09-09,10.453125,10.726563,9.968750,10.000000,10.000000,38174400\n1998-09-10,9.593750,10.062500,9.125000,9.984375,9.984375,61207200\n1998-09-11,10.062500,10.234375,9.593750,9.984375,9.984375,45369600\n1998-09-14,10.281250,10.609375,10.203125,10.484375,10.484375,35400800\n1998-09-15,10.328125,10.562500,10.250000,10.546875,10.546875,33928800\n1998-09-16,10.726563,11.718750,10.625000,11.671875,11.671875,97708000\n1998-09-17,11.171875,11.718750,11.164063,11.257813,11.257813,103429600\n1998-09-18,11.250000,11.546875,11.234375,11.304688,11.304688,40134400\n1998-09-21,10.906250,12.125000,10.851563,12.039063,12.039063,61918400\n1998-09-22,12.281250,13.125000,12.250000,12.867188,12.867188,88165600\n1998-09-23,13.093750,14.750000,13.062500,14.734375,14.734375,121677600\n1998-09-24,14.843750,15.671875,14.093750,14.406250,14.406250,119551200\n1998-09-25,14.000000,15.156250,13.906250,15.125000,15.125000,80061600\n1998-09-28,15.750000,16.187500,15.226563,15.992188,15.992188,85004800\n1998-09-29,16.093750,16.828125,15.593750,16.437500,16.437500,87640800\n1998-09-30,16.121088,16.523438,15.593750,16.187500,16.187500,83716800\n1998-10-01,15.421875,15.796875,14.085938,14.117188,14.117188,122895200\n1998-10-02,14.445313,15.937500,14.218750,15.875000,15.875000,135588000\n1998-10-05,15.765625,16.195313,14.632813,15.726563,15.726563,130274400\n1998-10-06,16.390625,16.515625,15.218750,15.601563,15.601563,123448000\n1998-10-07,15.335938,15.375000,13.812500,14.296875,14.296875,137588800\n1998-10-08,13.015625,13.562500,12.187500,13.101563,13.101563,172985600\n1998-10-09,13.484375,13.750000,12.750000,13.203125,13.203125,74280000\n1998-10-12,13.812500,14.750000,13.585938,14.304688,14.304688,103243200\n1998-10-13,14.179688,14.296875,13.703125,13.742188,13.742188,51824000\n1998-10-14,13.562500,14.562500,13.562500,13.984375,13.984375,59580000\n1998-10-15,14.109375,15.015625,13.781250,14.921875,14.921875,71287200\n1998-10-16,15.015625,15.250000,14.390625,14.453125,14.453125,54677600\n1998-10-19,14.328125,14.906250,14.187500,14.687500,14.687500,42296000\n1998-10-20,15.031250,15.140625,14.421875,14.437500,14.437500,48166400\n1998-10-21,14.703125,14.984375,14.457025,14.968750,14.968750,35041600\n1998-10-22,14.867188,15.531250,14.656250,15.265625,15.265625,60401600\n1998-10-23,15.210938,15.500000,15.062500,15.265625,15.265625,28093600\n1998-10-26,15.406250,16.000000,15.406250,15.992188,15.992188,40869600\n1998-10-27,16.312500,16.515625,15.437500,15.468750,15.468750,47267200\n1998-10-28,15.453125,16.000000,15.125000,15.843750,15.843750,42363200\n1998-10-29,16.031250,16.406250,15.750000,16.398438,16.398438,41452000\n1998-10-30,16.234375,16.640625,16.156250,16.355463,16.355463,39603200\n1998-11-02,16.632813,18.218750,16.468750,18.179688,18.179688,82252800\n1998-11-03,18.093750,18.625000,17.632813,17.765625,17.765625,88573600\n1998-11-04,18.453125,18.937500,18.187500,18.921875,18.921875,75329600\n1998-11-05,18.726563,19.257813,18.726563,18.960938,18.960938,82464800\n1998-11-06,18.992188,19.289063,18.875000,19.195313,19.195313,39160800\n1998-11-09,19.250000,20.671875,19.234375,20.593750,20.593750,73947200\n1998-11-10,21.062500,23.203125,21.046875,22.070313,22.070313,104089600\n1998-11-11,22.187500,22.734375,20.500000,20.625000,20.625000,96396800\n1998-11-12,20.437500,21.921875,20.406250,21.656250,21.656250,76820000\n1998-11-13,22.109375,22.210938,20.562500,21.000000,21.000000,59292800\n1998-11-16,21.718750,21.875000,20.968750,21.656250,21.656250,47338400\n1998-11-17,21.460938,22.687500,21.031250,22.093750,22.093750,65894400\n1998-11-18,22.421875,23.781250,22.304688,23.765625,23.765625,80068000\n1998-11-19,24.242188,24.796875,23.062500,23.234375,23.234375,83217600\n1998-11-20,24.125000,24.140625,22.687500,23.875000,23.875000,74551200\n1998-11-23,24.609375,27.750000,23.875000,27.679688,27.679688,92021600\n1998-11-24,27.000000,28.468750,25.375000,26.281250,26.281250,132245600\n1998-11-25,26.343750,27.000000,25.406250,26.234375,26.234375,56652000\n1998-11-27,26.601563,27.156250,26.468750,27.117188,27.117188,16614400\n1998-11-30,27.203125,27.203125,23.937500,24.000000,24.000000,56202400\n1998-12-01,22.984375,25.921875,22.750000,25.781250,25.781250,98687200\n1998-12-02,25.601563,25.796875,24.375000,24.632813,24.632813,63236800\n1998-12-03,24.718750,25.343750,22.828125,22.968750,22.968750,67581600\n1998-12-04,23.914063,24.109375,22.500000,23.718750,23.718750,73370400\n1998-12-07,24.062500,24.250000,23.328125,23.820313,23.820313,30444000\n1998-12-08,23.687500,25.000000,23.421875,24.812500,24.812500,50747200\n1998-12-09,25.000000,25.812500,24.257813,24.734375,24.734375,63276000\n1998-12-10,24.804688,25.250000,23.578125,24.093750,24.093750,47940800\n1998-12-11,23.890625,24.718750,23.843750,24.460938,24.460938,42621600\n1998-12-14,24.046875,24.609375,23.695313,23.906250,23.906250,40104000\n1998-12-15,24.312500,24.796875,24.187500,24.750000,24.750000,32498400\n1998-12-16,25.515625,26.312500,25.156250,25.640625,25.640625,55996800\n1998-12-17,25.015625,26.687500,24.937500,25.687500,25.687500,54028800\n1998-12-18,26.453125,26.890625,25.906250,26.539063,26.539063,37685600\n1998-12-21,27.625000,31.359375,27.250000,30.937500,30.937500,68780000\n1998-12-22,31.562500,31.734375,29.125000,30.625000,30.625000,63622400\n1998-12-23,31.406250,31.671875,30.687500,31.250000,31.250000,29891200\n1998-12-24,30.765625,31.375000,30.500000,30.890625,30.890625,9348800\n1998-12-28,31.687500,35.750000,31.250000,34.437500,34.437500,60430400\n1998-12-29,34.421875,34.421875,32.921875,33.750000,33.750000,41398400\n1998-12-30,33.250000,33.921875,30.125000,30.578125,30.578125,59023200\n1998-12-31,30.234375,31.875000,29.000000,29.617188,29.617188,37516800\n1999-01-04,30.250000,31.500000,30.000000,31.000000,31.000000,33860000\n1999-01-05,30.320313,32.625000,29.960938,32.234375,32.234375,43924800\n1999-01-06,33.500000,37.375000,33.375000,36.375000,36.375000,71474400\n1999-01-07,35.500000,40.718750,35.375000,40.000000,40.000000,77141600\n1999-01-08,43.250000,44.671875,41.250000,42.953125,42.953125,61498400\n1999-01-11,45.992188,55.625000,45.437500,51.921875,51.921875,80186400\n1999-01-12,54.828125,55.375000,46.250000,50.250000,50.250000,104092000\n1999-01-13,49.890625,50.750000,41.500000,46.000000,46.000000,97093600\n1999-01-14,46.484375,48.250000,42.875000,42.992188,42.992188,56675200\n1999-01-15,43.117188,44.312500,38.000000,39.625000,39.625000,83922400\n1999-01-19,42.484375,43.125000,39.742188,40.375000,40.375000,34664800\n1999-01-20,40.804688,41.343750,35.625000,35.898438,35.898438,43305600\n1999-01-21,34.257813,35.000000,31.171875,33.125000,33.125000,89164000\n1999-01-22,31.625000,36.375000,31.625000,35.750000,35.750000,73045600\n1999-01-25,37.093750,39.125000,35.625000,39.000000,39.000000,49068800\n1999-01-26,39.937500,44.015625,39.875000,43.906250,43.906250,66213600\n1999-01-27,46.546875,47.648438,41.250000,41.984375,41.984375,54030400\n1999-01-28,43.609375,46.125000,41.875000,45.968750,45.968750,52440000\n1999-01-29,45.000000,45.625000,43.125000,44.281250,44.281250,33787200\n1999-02-01,44.625000,44.875000,41.625000,41.945313,41.945313,39826400\n1999-02-02,41.968750,42.250000,38.578125,40.367188,40.367188,49295200\n1999-02-03,40.390625,45.000000,40.390625,44.757813,44.757813,45029600\n1999-02-04,44.562500,44.875000,41.875000,42.125000,42.125000,48534400\n1999-02-05,43.015625,44.125000,41.875000,43.187500,43.187500,49096000\n1999-02-08,43.187500,43.375000,38.656250,39.656250,39.656250,38321600\n1999-02-09,39.343750,39.468750,34.750000,35.187500,35.187500,41688400\n1999-02-10,34.875000,37.156250,32.234375,35.593750,35.593750,47980400\n1999-02-11,37.250000,39.750000,36.375000,39.625000,39.625000,32700800\n1999-02-12,38.640625,38.750000,37.000000,37.750000,37.750000,24872000\n1999-02-16,38.125000,39.000000,32.984375,33.343750,33.343750,58302000\n1999-02-17,33.625000,34.812500,31.375000,32.406250,32.406250,38656400\n1999-02-18,33.500000,33.625000,31.000000,32.218750,32.218750,35252000\n1999-02-19,33.390625,34.359375,32.500000,33.828125,33.828125,33774000\n1999-02-22,34.250000,37.500000,32.968750,36.437500,36.437500,33567600\n1999-02-23,37.125000,39.312500,37.000000,38.218750,38.218750,45360800\n1999-02-24,39.125000,40.125000,37.375000,37.546875,37.546875,35772800\n1999-02-25,37.390625,38.875000,36.125000,38.843750,38.843750,32932400\n1999-02-26,38.875000,39.593750,37.500000,38.375000,38.375000,29360000\n1999-03-01,38.390625,41.250000,37.281250,40.031250,40.031250,39223200\n1999-03-02,40.343750,41.250000,38.218750,38.296875,38.296875,29651200\n1999-03-03,38.718750,39.343750,37.156250,38.359375,38.359375,25215200\n1999-03-04,39.187500,39.500000,36.531250,37.875000,37.875000,23268000\n1999-03-05,39.593750,40.500000,39.000000,39.953125,39.953125,32062800\n1999-03-08,40.589825,43.296875,40.000000,42.609375,42.609375,36341600\n1999-03-09,42.703125,43.250000,40.937500,41.828125,41.828125,25655600\n1999-03-10,43.250000,43.625000,42.250000,43.406250,43.406250,22300000\n1999-03-11,44.468750,45.843750,44.015625,44.750000,44.750000,34746000\n1999-03-12,44.687500,44.781250,42.750000,44.000000,44.000000,18828400\n1999-03-15,44.250000,44.921875,43.187500,44.859375,44.859375,13907200\n1999-03-16,45.078125,45.125000,43.687500,43.718750,43.718750,12136000\n1999-03-17,43.531250,43.562500,42.500000,43.031250,43.031250,11562800\n1999-03-18,42.515625,44.000000,42.468750,43.828125,43.828125,13022800\n1999-03-19,44.187500,44.562500,42.437500,42.500000,42.500000,13999600\n1999-03-22,42.718750,44.500000,41.156250,41.250000,41.250000,16258800\n1999-03-23,40.500000,41.000000,38.796875,38.875000,38.875000,20626000\n1999-03-24,38.093750,40.125000,36.781250,40.125000,40.125000,22805600\n1999-03-25,41.984375,44.812500,41.250000,44.750000,44.750000,32558000\n1999-03-26,43.593750,44.312500,42.500000,42.843750,42.843750,23164800\n1999-03-29,44.250000,44.687500,42.937500,44.000000,44.000000,15764000\n1999-03-30,43.843750,46.468750,43.031250,43.078125,43.078125,38020000\n1999-03-31,44.000000,45.375000,42.000000,42.093750,42.093750,32183600\n1999-04-01,44.750000,45.250000,42.000000,44.937500,44.937500,40504800\n1999-04-05,46.562500,55.250000,46.250000,54.781250,54.781250,82058000\n1999-04-06,55.000000,61.000000,52.500000,53.718750,53.718750,100101200\n1999-04-07,57.250000,57.750000,50.750000,52.109375,52.109375,69661600\n1999-04-08,54.250000,54.250000,49.234375,51.671875,51.671875,56466800\n1999-04-09,51.171875,52.750000,50.500000,51.750000,51.750000,24151600\n1999-04-12,48.281250,51.515625,48.218750,50.734375,50.734375,39976800\n1999-04-13,51.187500,54.093750,50.500000,50.750000,50.750000,29236400\n1999-04-14,51.062500,52.000000,47.375000,47.750000,47.750000,25956800\n1999-04-15,47.437500,50.015625,43.000000,48.656250,48.656250,45416800\n1999-04-16,48.875000,49.250000,46.265625,47.296875,47.296875,23426400\n1999-04-19,47.218750,47.750000,40.312500,40.921875,40.921875,42021200\n1999-04-20,40.312500,43.500000,38.750000,42.750000,42.750000,42084400\n1999-04-21,43.656250,45.000000,42.500000,43.718750,43.718750,24596400\n1999-04-22,45.671875,46.250000,43.859375,46.000000,46.000000,25307200\n1999-04-23,45.843750,48.031250,45.125000,46.921875,46.921875,19913600\n1999-04-26,47.281250,48.625000,46.812500,48.062500,48.062500,13915600\n1999-04-27,48.734375,49.390625,45.375000,46.125000,46.125000,20129200\n1999-04-28,45.687500,46.234375,42.750000,43.375000,43.375000,18786800\n1999-04-29,42.031250,43.875000,41.156250,43.750000,43.750000,25935200\n1999-04-30,45.015625,45.500000,42.000000,43.671875,43.671875,14938800\n1999-05-03,42.781250,43.312500,40.250000,40.640625,40.640625,20424000\n1999-05-04,40.562500,42.562500,39.500000,39.812500,39.812500,25120000\n1999-05-05,40.093750,40.531250,37.218750,40.328125,40.328125,39324000\n1999-05-06,40.500000,40.625000,37.500000,37.968750,37.968750,23365200\n1999-05-07,37.906250,39.375000,36.250000,36.859375,36.859375,27588800\n1999-05-10,37.062500,39.203125,36.875000,38.921875,38.921875,25932800\n1999-05-11,41.093750,43.828125,40.218750,43.500000,43.500000,42985600\n1999-05-12,42.718750,43.375000,41.218750,42.484375,42.484375,22728400\n1999-05-13,42.875000,43.375000,39.968750,40.093750,40.093750,18511600\n1999-05-14,38.609375,40.437500,38.250000,39.343750,39.343750,23758400\n1999-05-17,38.765625,40.687500,37.515625,40.453125,40.453125,26168000\n1999-05-18,39.843750,40.375000,38.828125,39.203125,39.203125,18851600\n1999-05-19,39.734375,40.281250,38.812500,39.562500,39.562500,16702000\n1999-05-20,39.593750,39.781250,37.750000,37.875000,37.875000,10570000\n1999-05-21,38.312500,38.328125,37.187500,37.828125,37.828125,14906400\n1999-05-24,37.343750,37.562500,33.968750,34.468750,34.468750,30008400\n1999-05-25,34.609375,35.281250,31.656250,31.734375,31.734375,37816800\n1999-05-26,32.500000,35.312500,30.125000,35.218750,35.218750,52978400\n1999-05-27,34.750000,35.406250,33.218750,33.343750,33.343750,30726800\n1999-05-28,33.625000,37.062500,32.875000,37.000000,37.000000,28661200\n1999-06-01,36.328125,37.500000,33.765625,34.546875,34.546875,31400400\n1999-06-02,34.062500,37.250000,32.531250,35.625000,35.625000,45042400\n1999-06-03,35.625000,36.125000,33.375000,33.843750,33.843750,30196000\n1999-06-04,34.031250,36.937500,33.500000,36.859375,36.859375,36142000\n1999-06-07,36.656250,39.437500,36.062500,37.968750,37.968750,36826000\n1999-06-08,38.093750,38.375000,35.632801,35.828125,35.828125,27203600\n1999-06-09,36.218750,37.296875,35.765625,36.593750,36.593750,23841200\n1999-06-10,35.921875,36.968750,35.187500,36.187500,36.187500,20716000\n1999-06-11,36.093750,36.625000,33.562500,33.812500,33.812500,25944000\n1999-06-14,33.671875,33.718750,29.500000,29.812500,29.812500,50811600\n1999-06-15,29.406250,32.406250,29.406250,31.312500,31.312500,49996000\n1999-06-16,33.312500,35.875000,31.296875,35.406250,35.406250,59128800\n1999-06-17,34.906250,37.484375,34.312500,35.562500,35.562500,48852400\n1999-06-18,35.343750,36.375000,35.125000,36.109375,36.109375,17448800\n1999-06-21,37.125000,40.125000,37.000000,39.718750,39.718750,50007600\n1999-06-22,39.343750,41.531250,37.625000,38.125000,38.125000,50848000\n1999-06-23,37.437500,39.125000,36.562500,38.875000,38.875000,42335200\n1999-06-24,38.750000,38.921875,36.750000,37.750000,37.750000,28072800\n1999-06-25,38.187500,38.468750,36.250000,36.718750,36.718750,21633200\n1999-06-28,36.890625,39.125000,36.890625,39.125000,39.125000,38500400\n1999-06-29,38.953125,41.078125,38.250000,40.000000,40.000000,45476000\n1999-06-30,39.968750,44.593750,39.453125,43.062500,43.062500,59339600\n1999-07-01,43.593750,44.968750,42.953125,44.312500,44.312500,46766800\n1999-07-02,44.250000,44.718750,43.125000,44.531250,44.531250,29583200\n1999-07-06,45.625000,47.312500,43.125000,43.781250,43.781250,62996800\n1999-07-07,43.062500,43.500000,41.250000,41.765625,41.765625,67031200\n1999-07-08,43.453125,43.812500,40.500000,41.109375,41.109375,67836800\n1999-07-09,41.359375,41.750000,39.750000,40.000000,40.000000,28462000\n1999-07-12,39.875000,39.937500,37.500000,37.562500,37.562500,47432400\n1999-07-13,36.968750,39.500000,36.250000,39.234375,39.234375,47375200\n1999-07-14,39.937500,40.375000,39.218750,39.859375,39.859375,36978400\n1999-07-15,40.125000,40.437500,38.250000,38.609375,38.609375,24413600\n1999-07-16,38.437500,38.875000,37.468750,37.562500,37.562500,20528000\n1999-07-19,37.718750,38.125000,36.875000,37.375000,37.375000,25438400\n1999-07-20,37.031250,37.625000,35.437500,35.531250,35.531250,24332400\n1999-07-21,35.718750,38.125000,35.562500,37.968750,37.968750,32751200\n1999-07-22,37.078125,37.875000,35.765625,36.281250,36.281250,39331200\n1999-07-23,36.640625,37.031250,35.890625,36.437500,36.437500,19178800\n1999-07-26,35.375000,35.968750,33.000000,33.578125,33.578125,41694400\n1999-07-27,34.531250,35.125000,32.765625,32.828125,32.828125,39426000\n1999-07-28,33.359375,35.804676,32.875000,35.750000,35.750000,46910800\n1999-07-29,34.781250,35.000000,33.500000,34.250000,34.250000,42611200\n1999-07-30,34.437500,35.125000,33.375000,34.109375,34.109375,25167200\n1999-08-02,33.765625,34.937500,33.000000,33.078125,33.078125,24568000\n1999-08-03,33.609375,33.609375,30.718750,31.343750,31.343750,60916800\n1999-08-04,31.250000,31.937500,29.937500,30.250000,30.250000,45760800\n1999-08-05,30.031250,32.406250,27.500000,32.093750,32.093750,93246000\n1999-08-06,32.781250,34.000000,31.437500,31.734375,31.734375,58423200\n1999-08-09,32.031250,32.218750,30.003901,30.296875,30.296875,30964400\n1999-08-10,30.187500,32.187500,29.000000,31.875000,31.875000,59756000\n1999-08-11,32.562500,32.906250,30.640625,32.015625,32.015625,47123600\n1999-08-12,32.000000,33.312500,31.640625,32.093750,32.093750,31806800\n1999-08-13,33.093750,33.500000,32.437500,33.203125,33.203125,24487600\n1999-08-16,33.000000,33.843750,32.687500,33.625000,33.625000,20766000\n1999-08-17,34.093750,34.875000,33.812500,34.718750,34.718750,29511600\n1999-08-18,35.812500,37.375000,35.750000,36.265625,36.265625,41488000\n1999-08-19,35.375000,35.875000,34.500000,34.796875,34.796875,31132400\n1999-08-20,34.906250,36.328125,34.625000,36.250000,36.250000,20089600\n1999-08-23,36.750000,38.375000,36.718750,38.031250,38.031250,42162000\n1999-08-24,37.484375,39.875000,37.468750,38.234375,38.234375,46909600\n1999-08-25,38.687500,39.765625,38.375000,39.640625,39.640625,25081200\n1999-08-26,39.375000,40.125000,38.093750,38.171875,38.171875,23626800\n1999-08-27,38.343750,38.375000,36.812500,37.250000,37.250000,20174400\n1999-08-30,37.125000,37.437500,35.640625,35.953125,35.953125,17183600\n1999-08-31,35.609375,37.062500,34.812500,36.875000,36.875000,42270800\n1999-09-01,37.187500,37.343750,35.578125,35.828125,35.828125,17971600\n1999-09-02,35.062500,36.128899,34.843750,35.390625,35.390625,21898800\n1999-09-03,36.906250,38.765625,36.718750,38.750000,38.750000,33040800\n1999-09-07,38.390625,39.250000,38.015625,38.750000,38.750000,24489600\n1999-09-08,38.203125,38.875000,37.953125,38.359375,38.359375,17771200\n1999-09-09,39.453125,40.843750,39.453125,40.671875,40.671875,41091200\n1999-09-10,41.406250,43.015625,41.250000,42.625000,42.625000,41157200\n1999-09-13,41.687500,41.937500,40.125000,40.187500,40.187500,28529600\n1999-09-14,39.937500,41.984375,39.921875,41.296875,41.296875,25134000\n1999-09-15,42.062500,42.437500,40.562500,40.593750,40.593750,26740800\n1999-09-16,40.531250,40.968750,39.328125,40.859375,40.859375,25113200\n1999-09-17,40.703125,41.656250,40.265625,40.781250,40.781250,19720000\n1999-09-20,41.125000,42.187500,41.000000,42.093750,42.093750,20120000\n1999-09-21,41.453125,43.750000,41.078125,42.390625,42.390625,43461600\n1999-09-22,42.375000,45.000000,42.156250,44.875000,44.875000,47312800\n1999-09-23,45.078125,46.609375,42.812500,43.437500,43.437500,66187200\n1999-09-24,43.328125,46.250000,43.328125,45.828125,45.828125,56219600\n1999-09-27,46.500000,46.843750,44.578125,45.343750,45.343750,38259200\n1999-09-28,45.312500,46.468750,43.812500,46.171875,46.171875,32783600\n1999-09-29,45.500000,46.750000,44.671875,44.828125,44.828125,26710400\n1999-09-30,44.906250,45.359375,43.687500,44.875000,44.875000,23179600\n1999-10-01,44.625000,45.000000,43.156250,43.859375,43.859375,24662400\n1999-10-04,44.296875,44.625000,41.656250,42.796875,42.796875,34314400\n1999-10-05,43.054676,44.453125,41.937500,43.328125,43.328125,52034800\n1999-10-06,44.000000,44.234375,42.890625,43.937500,43.937500,35948400\n1999-10-07,46.171875,48.265625,45.500000,47.562500,47.562500,99988000\n1999-10-08,47.000000,48.093750,46.265625,48.031250,48.031250,37374800\n1999-10-11,46.750000,47.000000,45.000000,45.343750,45.343750,70550400\n1999-10-12,45.468750,45.484375,43.000000,43.468750,43.468750,45610000\n1999-10-13,43.296875,44.250000,41.812500,41.890625,41.890625,45434800\n1999-10-14,42.484375,43.484375,41.843750,43.343750,43.343750,42182000\n1999-10-15,41.750000,43.187500,41.328125,42.390625,42.390625,44574800\n1999-10-18,42.421875,43.187500,41.125000,42.593750,42.593750,33723200\n1999-10-19,43.625000,44.187500,43.406250,43.718750,43.718750,35864000\n1999-10-20,44.187500,45.125000,43.343750,45.035149,45.035149,29566000\n1999-10-21,44.218750,45.718750,44.062500,45.484375,45.484375,38491600\n1999-10-22,45.562500,45.953125,44.312500,44.531250,44.531250,20509200\n1999-10-25,44.148426,45.062500,44.062500,44.687500,44.687500,15003200\n1999-10-26,44.812500,45.031250,43.500000,44.796875,44.796875,12201600\n1999-10-27,44.375000,44.406250,43.000000,43.546875,43.546875,14534800\n1999-10-28,43.515625,44.875000,43.187500,43.750000,43.750000,29123600\n1999-10-29,44.625000,45.000000,44.250000,44.765625,44.765625,29416400\n1999-11-01,44.875000,45.750000,44.500000,45.171875,45.171875,22136000\n1999-11-02,45.250000,45.375000,44.218750,44.500000,44.500000,16212000\n1999-11-03,44.859375,45.593750,44.656250,45.156250,45.156250,18202400\n1999-11-04,45.765625,46.375000,45.328125,45.531250,45.531250,22840400\n1999-11-05,46.531250,46.625000,45.750000,45.859375,45.859375,19503200\n1999-11-08,45.656250,49.906250,45.468750,49.296875,49.296875,39462400\n1999-11-09,49.812500,49.875000,48.062500,48.640625,48.640625,29762000\n1999-11-10,48.343750,50.593750,48.312500,49.421875,49.421875,26834000\n1999-11-11,49.625000,50.750000,48.062500,48.281250,48.281250,15894400\n1999-11-12,49.000000,49.718750,47.562500,49.234375,49.234375,17907200\n1999-11-15,49.000000,51.875000,48.843750,51.250000,51.250000,23674800\n1999-11-16,51.421875,53.234375,50.921875,53.140625,53.140625,23657200\n1999-11-17,52.765625,53.000000,51.218750,51.546875,51.546875,16416800\n1999-11-18,51.656250,53.875000,50.750000,53.468750,53.468750,16049600\n1999-11-19,53.484375,54.796875,52.500000,54.687500,54.687500,17340400\n1999-11-22,54.875000,57.546875,54.500000,56.703125,56.703125,22806400\n1999-11-23,56.500000,57.312500,54.500000,55.296875,55.296875,25955600\n1999-11-24,56.562500,58.250000,56.312500,57.750000,57.750000,22665200\n1999-11-26,58.250000,58.812500,56.343750,56.718750,56.718750,8035600\n1999-11-29,57.312500,58.625000,56.218750,56.531250,56.531250,18530400\n1999-11-30,55.859375,55.906250,52.625000,53.187500,53.187500,24242400\n1999-12-01,57.500000,58.500000,56.234375,57.218750,57.218750,52774000\n1999-12-02,57.593750,62.437500,56.937500,61.453125,61.453125,39232400\n1999-12-03,62.496075,64.687500,62.234375,63.250000,63.250000,40032400\n1999-12-06,63.250000,70.500000,62.671875,70.203125,70.203125,64394800\n1999-12-07,74.000000,88.250000,71.531250,87.000000,87.000000,265342000\n1999-12-08,81.000000,82.328125,77.750000,79.906250,79.906250,99627600\n1999-12-09,79.968750,85.312500,78.015625,85.000000,85.000000,45672000\n1999-12-10,86.687500,89.375000,83.562500,88.375000,88.375000,38182800\n1999-12-13,87.003899,89.062500,86.125000,87.765625,87.765625,22786400\n1999-12-14,87.062500,87.625000,83.250000,83.281250,83.281250,28800000\n1999-12-15,81.843750,83.687500,78.875000,81.875000,81.875000,33132400\n1999-12-16,83.125000,85.468750,83.093750,85.250000,85.250000,19881200\n1999-12-17,86.187500,88.031250,84.250000,87.500000,87.500000,20652000\n1999-12-20,87.000000,92.468750,86.500000,92.375000,92.375000,27528400\n1999-12-21,91.906250,102.078125,91.203125,101.390625,101.390625,40430400\n1999-12-22,101.437500,105.296875,98.687500,104.828125,104.828125,34557200\n1999-12-23,104.375000,106.562500,100.000000,100.656250,100.656250,18468400\n1999-12-27,98.437500,107.015625,94.468750,103.750000,103.750000,38158000\n1999-12-28,102.500000,105.000000,97.500000,97.562500,97.562500,20896400\n1999-12-29,99.109375,102.500000,98.500000,100.921875,100.921875,11763200\n1999-12-30,105.437500,112.000000,101.687500,104.015625,104.015625,24972400\n1999-12-31,105.109375,110.375000,102.515625,108.171875,108.171875,10116400\n2000-01-03,110.730453,119.250000,107.375000,118.750000,118.750000,38469600\n2000-01-04,116.125000,125.031250,110.500000,110.750000,110.750000,69868800\n2000-01-05,107.625000,107.781250,100.500000,102.625000,102.625000,83194800\n2000-01-06,101.562500,103.250000,90.250000,92.046875,92.046875,71301200\n2000-01-07,91.687500,102.000000,90.750000,101.812500,101.812500,48999600\n2000-01-10,108.125000,112.812500,105.000000,109.015625,109.015625,61022400\n2000-01-11,105.968750,106.562500,98.000000,99.343750,99.343750,75761600\n2000-01-12,97.468750,98.500000,88.750000,89.390625,89.390625,74100000\n2000-01-13,91.625000,94.343750,84.500000,86.718750,86.718750,67762800\n2000-01-14,88.750000,90.750000,85.500000,88.250000,88.250000,49232800\n2000-01-18,85.437500,87.500000,83.750000,85.296875,85.296875,30706000\n2000-01-19,84.000000,91.843750,84.000000,91.000000,91.000000,31800000\n2000-01-20,92.265625,92.984375,87.250000,87.984375,87.984375,31349600\n2000-01-21,88.750000,90.000000,87.000000,87.984375,87.984375,17615200\n2000-01-24,88.484375,90.125000,81.000000,81.078125,81.078125,25329200\n2000-01-25,81.750000,86.750000,79.062500,86.390625,86.390625,34588000\n2000-01-26,85.125000,85.871078,81.937500,82.140625,82.140625,19404000\n2000-01-27,83.109375,84.890625,81.281250,84.343750,84.343750,19222000\n2000-01-28,83.390625,85.750000,77.406250,78.375000,78.375000,36656000\n2000-01-31,77.500000,80.515625,75.750000,80.515625,80.515625,35825200\n2000-02-01,79.859375,82.437500,77.703125,79.343750,79.343750,24690800\n2000-02-02,80.371078,84.250000,79.250000,82.000000,82.000000,26813200\n2000-02-03,83.714828,90.250000,83.500000,90.062500,90.062500,39057600\n2000-02-04,91.125000,93.125000,86.750000,88.375000,88.375000,33816000\n2000-02-07,88.511703,90.750000,86.750000,88.500000,88.500000,20864400\n2000-02-08,89.750000,94.953125,89.625000,93.281250,93.281250,29828800\n2000-02-09,92.500000,94.312500,90.031250,90.578125,90.578125,23918800\n2000-02-10,90.625000,91.500000,88.484375,91.250000,91.250000,17980400\n2000-02-11,90.968750,91.250000,85.437500,85.671875,85.671875,19158400\n2000-02-14,86.750000,86.875000,81.875000,82.875000,82.875000,15165600\n2000-02-15,83.187500,86.625000,78.000000,85.000000,85.000000,21323200\n2000-02-16,84.125000,85.000000,80.000000,80.781250,80.781250,12820400\n2000-02-17,82.937500,84.000000,80.531250,81.593750,81.593750,12434600\n2000-02-18,80.625000,81.593750,77.687500,78.062500,78.062500,14643800\n2000-02-22,78.437500,78.500000,74.468750,76.906250,76.906250,17691600\n2000-02-23,76.812500,85.000000,76.500000,83.101547,83.101547,21189800\n2000-02-24,83.242149,85.812500,79.625000,84.031250,84.031250,16506000\n2000-02-25,82.812500,85.156250,80.156250,82.593750,82.593750,11418000\n2000-02-28,80.742149,82.375000,76.062500,80.968750,80.968750,18420200\n2000-02-29,82.218750,84.937500,77.750000,79.843750,79.843750,13684600\n2000-03-01,78.750000,81.500000,77.500000,79.250000,79.250000,11652200\n2000-03-02,77.507797,79.500000,76.000000,77.468750,77.468750,12227400\n2000-03-03,78.000000,81.500000,75.500000,79.000000,79.000000,14972000\n2000-03-06,81.750000,88.500000,81.367149,85.781250,85.781250,25566400\n2000-03-07,87.437500,90.187500,84.000000,85.687500,85.687500,17345600\n2000-03-08,87.312500,90.500000,82.500000,88.500000,88.500000,17234400\n2000-03-09,87.625000,92.500000,86.000000,91.625000,91.625000,17405000\n2000-03-10,90.585899,91.500000,87.812500,89.031250,89.031250,10406600\n2000-03-13,84.062500,90.250000,84.000000,87.906250,87.906250,12033000\n2000-03-14,89.250000,91.765602,83.968750,84.375000,84.375000,15768600\n2000-03-15,84.375000,84.500000,77.562500,79.250000,79.250000,17643400\n2000-03-16,79.593750,86.500000,78.031250,85.093750,85.093750,17049200\n2000-03-17,84.562500,88.468750,84.500000,85.562500,85.562500,11223000\n2000-03-20,86.093750,87.687500,82.625000,86.007797,86.007797,10404600\n2000-03-21,86.500000,96.625000,84.281250,95.875000,95.875000,25232800\n2000-03-22,94.718750,102.812500,94.250000,98.593750,98.593750,31384600\n2000-03-23,96.687500,101.500000,95.250000,95.500000,95.500000,14708600\n2000-03-24,96.750000,100.500000,94.000000,97.000000,97.000000,14707800\n2000-03-27,97.812500,102.593750,97.500000,100.375000,100.375000,17279800\n2000-03-28,98.500000,100.375000,96.000000,97.500000,97.500000,12830200\n2000-03-29,96.718750,98.250000,87.000000,88.531250,88.531250,21540000\n2000-03-30,86.250000,93.531250,80.125000,84.750000,84.750000,31733800\n2000-03-31,87.625000,88.625000,80.250000,85.687500,85.687500,21684000\n2000-04-03,84.375000,86.500000,79.687500,80.062500,80.062500,19322800\n2000-04-04,82.500000,85.500000,66.375000,83.687500,83.687500,42528400\n2000-04-05,81.000000,84.937500,79.250000,82.781250,82.781250,27371800\n2000-04-06,80.968750,85.625000,75.343750,77.000000,77.000000,55990400\n2000-04-07,78.375000,80.000000,75.375000,75.562500,75.562500,24960400\n2000-04-10,76.437500,76.500000,70.500000,70.968750,70.968750,24860000\n2000-04-11,69.781250,71.250000,66.250000,66.750000,66.750000,28853600\n2000-04-12,68.312500,71.468750,65.250000,68.093750,68.093750,29695800\n2000-04-13,68.484352,74.062500,67.156250,68.062500,68.062500,28022800\n2000-04-14,65.125000,67.625000,55.500000,58.000000,58.000000,38466800\n2000-04-17,55.625000,61.468750,54.000000,57.187500,57.187500,44468600\n2000-04-18,58.468750,63.750000,57.750000,63.343750,63.343750,24866000\n2000-04-19,64.687500,67.250000,61.000000,62.937500,62.937500,18326000\n2000-04-20,63.250000,64.562500,59.750000,61.562500,61.562500,13100600\n2000-04-24,57.500000,59.562500,53.500000,56.937500,56.937500,21974800\n2000-04-25,59.375000,63.500000,59.375000,62.250000,62.250000,25156400\n2000-04-26,62.250000,63.437500,59.125000,59.562500,59.562500,16669600\n2000-04-27,57.250000,63.375000,56.500000,62.156250,62.156250,19964200\n2000-04-28,63.375000,65.937500,62.750000,65.125000,65.125000,14908800\n2000-05-01,67.375000,68.000000,63.468750,65.437500,65.437500,14252400\n2000-05-02,64.562500,65.750000,60.812500,61.281250,61.281250,13658200\n2000-05-03,60.156250,62.375000,58.031250,61.031250,61.031250,14383000\n2000-05-04,62.250000,63.500000,60.531250,62.093750,62.093750,13000000\n2000-05-05,61.000000,64.000000,61.000000,62.843750,62.843750,8375000\n2000-05-08,61.468750,62.750000,60.250000,60.375000,60.375000,7958800\n2000-05-09,60.750000,61.125000,57.500000,58.718750,58.718750,13656200\n2000-05-10,57.656250,61.250000,56.250000,59.445301,59.445301,18772600\n2000-05-11,60.906250,63.000000,59.750000,62.656250,62.656250,14962800\n2000-05-12,63.250000,65.718750,62.531250,62.843750,62.843750,14853400\n2000-05-15,62.562500,65.000000,60.320301,65.000000,65.000000,11592000\n2000-05-16,66.687500,69.125000,65.000000,67.812500,67.812500,20359400\n2000-05-17,66.250000,69.875000,65.937500,68.906250,68.906250,20842400\n2000-05-18,68.750000,68.781250,65.000000,66.000000,66.000000,15213200\n2000-05-19,65.687500,67.343750,60.000000,60.156250,60.156250,28261600\n2000-05-22,60.062500,64.000000,56.625000,63.125000,63.125000,31994400\n2000-05-23,62.625000,63.687500,59.000000,59.156250,59.156250,17904400\n2000-05-24,58.750000,62.000000,56.000000,61.375000,61.375000,22729200\n2000-05-25,60.750000,61.812500,56.500000,57.500000,57.500000,18788800\n2000-05-26,57.250000,58.062500,55.500000,56.031250,56.031250,12662200\n2000-05-30,57.843750,60.000000,57.250000,58.500000,58.500000,17734000\n2000-05-31,56.875000,58.656250,56.406250,56.531250,56.531250,28353800\n2000-06-01,58.093750,61.000000,57.812500,60.031250,60.031250,16573800\n2000-06-02,64.929649,67.437500,63.656250,67.250000,67.250000,22187400\n2000-06-05,65.437500,70.968750,65.250000,68.656250,68.656250,17966800\n2000-06-06,67.875000,71.093750,67.500000,67.531250,67.531250,13933800\n2000-06-07,69.250000,73.000000,67.750000,72.250000,72.250000,20657200\n2000-06-08,73.437500,73.875000,70.250000,72.000000,72.000000,17499800\n2000-06-09,73.281250,73.382797,71.125000,71.593750,71.593750,8727400\n2000-06-12,72.500000,72.750000,68.375000,68.718750,68.718750,11717000\n2000-06-13,68.343750,69.781250,65.625000,69.750000,69.750000,14961200\n2000-06-14,70.031250,70.750000,68.562500,69.750000,69.750000,8810400\n2000-06-15,69.125000,70.875000,67.406250,69.843750,69.843750,10597600\n2000-06-16,69.937500,70.625000,67.750000,70.468750,70.468750,13738800\n2000-06-19,70.000000,70.312500,67.968750,69.531250,69.531250,14533600\n2000-06-20,70.187500,75.000000,70.156250,74.000000,74.000000,20704400\n2000-06-21,71.156250,72.781250,70.250000,71.406250,71.406250,15826200\n2000-06-22,70.937500,71.062500,65.812500,65.843750,65.843750,16783000\n2000-06-23,64.625000,65.000000,61.125000,62.656250,62.656250,18099800\n2000-06-26,62.250000,62.437500,58.562500,59.656250,59.656250,23421800\n2000-06-27,59.437500,64.437500,59.375000,62.968750,62.968750,20571400\n2000-06-28,62.656250,63.812500,61.562500,61.781250,61.781250,13065200\n2000-06-29,61.281250,63.000000,59.375000,59.656250,59.656250,12176400\n2000-06-30,59.406250,62.250000,59.406250,61.937500,61.937500,9068000\n2000-07-03,61.250000,64.125000,61.062500,63.937500,63.937500,4773200\n2000-07-05,63.000000,63.937500,60.125000,60.406250,60.406250,8643000\n2000-07-06,60.687500,62.093750,59.250000,61.187500,61.187500,11706400\n2000-07-07,58.531250,59.250000,57.500000,58.250000,58.250000,25520400\n2000-07-10,56.906250,57.000000,54.859348,55.000000,55.000000,23104200\n2000-07-11,52.468750,53.281250,49.937500,52.750000,52.750000,61754000\n2000-07-12,60.250000,63.687500,58.437500,62.468750,62.468750,74122200\n2000-07-13,62.781250,63.562500,60.757801,61.281250,61.281250,20465600\n2000-07-14,62.312500,64.125000,61.250000,64.000000,64.000000,18338800\n2000-07-17,63.375000,66.750000,62.531250,65.812500,65.812500,15484200\n2000-07-18,64.687500,66.687500,63.562500,64.968750,64.968750,15129400\n2000-07-19,65.031250,69.000000,65.000000,67.000000,67.000000,20859200\n2000-07-20,67.000000,71.343750,66.843750,69.906250,69.906250,19580200\n2000-07-21,69.062500,70.375000,68.781250,69.156250,69.156250,10598400\n2000-07-24,68.437500,69.375000,66.125000,66.281250,66.281250,12922000\n2000-07-25,67.031250,69.687500,65.187500,69.000000,69.000000,12744800\n2000-07-26,68.156250,69.625000,66.843750,67.968750,67.968750,11078600\n2000-07-27,67.093750,68.312500,65.656250,67.031250,67.031250,11889800\n2000-07-28,67.343750,68.375000,63.031250,63.375000,63.375000,14022600\n2000-07-31,63.093750,64.875000,61.375000,64.343750,64.343750,11073200\n2000-08-01,64.250000,65.000000,63.000000,63.718750,63.718750,8777800\n2000-08-02,63.343750,66.531250,63.125000,63.562500,63.562500,9287400\n2000-08-03,62.437500,65.781250,61.750000,65.593750,65.593750,12216200\n2000-08-04,66.375000,68.437500,65.625000,66.968750,66.968750,10833600\n2000-08-07,66.734352,68.875000,65.375000,68.250000,68.250000,9502600\n2000-08-08,67.593750,69.000000,66.531250,67.062500,67.062500,8953400\n2000-08-09,68.187500,68.750000,66.250000,66.343750,66.343750,8145800\n2000-08-10,66.281250,66.906250,64.156250,64.656250,64.656250,6857000\n2000-08-11,64.125000,64.875000,62.687500,64.312500,64.312500,7436000\n2000-08-14,64.625000,66.875000,64.093750,66.187500,66.187500,8142800\n2000-08-15,65.593750,67.625000,65.562500,66.156250,66.156250,6694400\n2000-08-16,67.250000,69.000000,66.750000,67.000000,67.000000,11161800\n2000-08-17,66.656250,67.062500,65.437500,65.562500,65.562500,11038200\n2000-08-18,65.187500,65.687500,62.500000,62.593750,62.593750,14911600\n2000-08-21,62.343750,65.281250,61.625000,65.218750,65.218750,15705600\n2000-08-22,64.500000,65.000000,63.156250,63.750000,63.750000,18488000\n2000-08-23,62.875000,67.187500,62.468750,66.906250,66.906250,14610600\n2000-08-24,66.687500,70.000000,66.062500,69.906250,69.906250,19643800\n2000-08-25,69.406250,69.843750,66.437500,67.125000,67.125000,13895600\n2000-08-28,64.250000,65.750000,60.312500,61.031250,61.031250,39080600\n2000-08-29,60.367149,63.375000,60.000000,60.500000,60.500000,27184600\n2000-08-30,60.843750,62.250000,60.257801,61.625000,61.625000,15051800\n2000-08-31,61.812500,62.000000,60.375000,60.750000,60.750000,11091400\n2000-09-01,58.937500,58.968750,55.062500,56.968750,56.968750,35473000\n2000-09-05,55.937500,59.625000,55.187500,58.562500,58.562500,27535600\n2000-09-06,58.687500,58.875000,56.000000,56.031250,56.031250,19088600\n2000-09-07,55.281250,57.375000,53.000000,53.468750,53.468750,35515800\n2000-09-08,53.593750,54.687500,49.875000,52.062500,52.062500,36988200\n2000-09-11,51.625000,54.687500,51.437500,53.156250,53.156250,17564200\n2000-09-12,54.406250,55.117149,52.500000,53.500000,53.500000,12909600\n2000-09-13,52.781250,54.093750,52.250000,53.187500,53.187500,11120400\n2000-09-14,53.906250,54.687500,53.000000,53.468750,53.468750,11057000\n2000-09-15,53.500000,53.750000,52.187500,52.937500,52.937500,13341000\n2000-09-18,52.093750,53.750000,51.187500,52.531250,52.531250,11642800\n2000-09-19,52.750000,54.125000,52.562500,54.031250,54.031250,9642600\n2000-09-20,54.625000,56.218750,53.812500,54.843750,54.843750,16960800\n2000-09-21,54.429649,56.062500,54.000000,54.062500,54.062500,8599200\n2000-09-22,51.937500,56.000000,51.937500,55.718750,55.718750,12025600\n2000-09-25,55.171848,56.187500,52.531250,52.750000,52.750000,10145800\n2000-09-26,53.000000,53.031250,50.250000,51.218750,51.218750,14132200\n2000-09-27,51.375000,51.375000,44.000000,45.187500,45.187500,59994600\n2000-09-28,45.687500,48.500000,44.968750,47.843750,47.843750,27555400\n2000-09-29,48.562500,48.625000,45.250000,45.500000,45.500000,13879800\n2000-10-02,45.781250,45.937500,42.062500,43.031250,43.031250,25121600\n2000-10-03,43.750000,45.375000,41.312500,42.000000,42.000000,25678000\n2000-10-04,42.218750,44.375000,41.250000,43.968750,43.968750,18776000\n2000-10-05,44.250000,45.312500,41.750000,42.343750,42.343750,19689600\n2000-10-06,42.750000,43.000000,39.718750,40.625000,40.625000,23314400\n2000-10-09,40.781250,43.750000,37.750000,42.875000,42.875000,25993800\n2000-10-10,43.687500,44.375000,40.937500,41.343750,41.343750,38555200\n2000-10-11,36.343750,36.781250,32.500000,32.687500,32.687500,92244000\n2000-10-12,33.343750,33.375000,27.718750,28.312500,28.312500,63441200\n2000-10-13,27.593750,30.187500,27.375000,30.000000,30.000000,56348600\n2000-10-16,30.375000,30.812500,27.531250,27.625000,27.625000,31040200\n2000-10-17,27.968750,28.062500,23.718750,24.468750,24.468750,58899000\n2000-10-18,23.218750,27.125000,22.531250,26.375000,26.375000,59887600\n2000-10-19,28.687500,30.062500,26.843750,29.781250,29.781250,34329800\n2000-10-20,29.687500,31.875000,28.343750,29.500000,29.500000,25588200\n2000-10-23,30.125000,31.046850,29.531250,29.812500,29.812500,15772600\n2000-10-24,30.718750,32.125000,29.000000,29.312500,29.312500,23606200\n2000-10-25,30.437500,30.898399,27.046850,27.781250,27.781250,20160200\n2000-10-26,28.375000,28.500000,25.437500,28.000000,28.000000,19796600\n2000-10-27,28.562500,29.218750,26.593750,27.625000,27.625000,14792400\n2000-10-30,26.906250,27.812500,25.500000,26.312500,26.312500,16900200\n2000-10-31,26.843750,30.000000,26.250000,29.312500,29.312500,23011600\n2000-11-01,28.890600,33.500000,28.500000,32.179649,32.179649,34524000\n2000-11-02,33.250000,34.625000,32.125000,33.718750,33.718750,29210800\n2000-11-03,34.687500,35.281250,33.312500,34.375000,34.375000,20381800\n2000-11-06,35.125000,35.218750,32.687500,32.812500,32.812500,14251200\n2000-11-07,32.968750,34.562500,31.812500,34.250000,34.250000,13889800\n2000-11-08,34.625000,35.312500,32.468750,32.500000,32.500000,16011400\n2000-11-09,30.429649,31.437500,28.250000,29.406250,29.406250,26721000\n2000-11-10,28.906250,30.875000,28.062500,28.218750,28.218750,19196200\n2000-11-13,27.406250,29.562500,26.000000,27.656250,27.656250,19343200\n2000-11-14,28.843750,29.750000,27.750000,29.718750,29.718750,13959400\n2000-11-15,29.125000,30.000000,27.375000,28.562500,28.562500,16191200\n2000-11-16,27.500000,28.250000,26.312500,26.468750,26.468750,13573000\n2000-11-17,26.101549,27.750000,25.000000,25.625000,25.625000,21516400\n2000-11-20,25.187500,25.687500,23.937500,24.437500,24.437500,18448400\n2000-11-21,23.500000,24.000000,20.281250,20.843750,20.843750,49950200\n2000-11-22,20.187500,21.500000,19.031250,19.093750,19.093750,43183200\n2000-11-24,20.125000,21.125000,19.687500,20.437500,20.437500,19702400\n2000-11-27,21.867149,22.500000,20.000000,20.062500,20.062500,24838400\n2000-11-28,19.968750,20.250000,17.875000,18.484350,18.484350,29390800\n2000-11-29,18.570299,19.625000,17.843750,19.531250,19.531250,35039400\n2000-11-30,18.796850,19.812500,17.593750,19.812500,19.812500,33938200\n2000-12-01,19.406250,20.562500,18.187500,19.468750,19.468750,40172600\n2000-12-04,19.218750,19.656250,18.093750,18.968750,18.968750,29997600\n2000-12-05,19.843750,22.000000,19.656250,21.937500,21.937500,30714800\n2000-12-06,20.812500,21.468750,18.562500,18.750000,18.750000,32559800\n2000-12-07,18.031250,18.109350,15.750000,17.468750,17.468750,55136200\n2000-12-08,18.562500,18.562500,16.062500,17.468750,17.468750,49184000\n2000-12-11,16.812500,18.531250,15.312500,16.937500,16.937500,71038800\n2000-12-12,16.625000,19.750000,16.468750,17.906250,17.906250,79275800\n2000-12-13,19.156250,19.312500,17.125000,17.437500,17.437500,33640400\n2000-12-14,17.656250,17.953100,15.968750,16.000000,16.000000,20899800\n2000-12-15,16.000000,17.000000,15.531250,16.500000,16.500000,40448000\n2000-12-18,16.937500,17.000000,15.125000,16.000000,16.000000,31697600\n2000-12-19,15.281250,15.984350,14.000000,14.000000,14.000000,36131600\n2000-12-20,12.906250,14.187500,12.750000,13.968750,13.968750,44862800\n2000-12-21,13.375000,14.125000,12.531250,12.812500,12.812500,27794400\n2000-12-22,13.218750,14.937500,13.031250,14.781250,14.781250,28347400\n2000-12-26,16.000000,17.000000,15.062500,15.593750,15.593750,37536200\n2000-12-27,15.500000,15.750000,14.562500,14.875000,14.875000,22045400\n2000-12-28,14.718750,15.875000,14.562500,15.500000,15.500000,24374600\n2000-12-29,15.156250,15.593750,14.781250,15.031250,15.031250,20893400\n2001-01-02,15.156250,15.187500,13.750000,14.093750,14.093750,21939200\n2001-01-03,13.875000,16.281250,12.992150,15.468750,15.468750,49936600\n2001-01-04,14.929650,16.093750,14.718750,14.781250,14.781250,35051800\n2001-01-05,14.687500,15.687500,13.937500,14.250000,14.250000,26867400\n2001-01-08,13.687500,13.750000,12.687500,13.593750,13.593750,26165200\n2001-01-09,13.281250,15.281250,13.000000,15.062500,15.062500,43097200\n2001-01-10,14.656250,15.625000,13.937500,15.250000,15.250000,54304200\n2001-01-11,12.210900,13.312500,12.062500,12.937500,12.937500,132926800\n2001-01-12,13.031250,13.437500,12.531250,13.281250,13.281250,50575600\n2001-01-16,13.500000,14.218750,13.312500,13.687500,13.687500,32059000\n2001-01-17,14.312500,15.875000,13.968750,15.125000,15.125000,66939000\n2001-01-18,15.500000,17.375000,14.843750,17.218750,17.218750,57925400\n2001-01-19,18.000000,18.031250,16.281250,16.906250,16.906250,40979800\n2001-01-22,16.656250,17.875000,16.281250,17.343750,17.343750,25512600\n2001-01-23,17.218750,19.500000,17.093750,19.476549,19.476549,34783200\n2001-01-24,19.156250,21.687500,19.000000,21.437500,21.437500,57294800\n2001-01-25,20.937500,21.406250,19.281250,19.593750,19.593750,44249200\n2001-01-26,18.812500,19.312500,18.062500,18.843750,18.843750,24462600\n2001-01-29,18.875000,20.187500,18.875000,19.937500,19.937500,18819000\n2001-01-30,20.562500,20.875000,18.875000,19.843750,19.843750,18776000\n2001-01-31,19.906250,20.531250,18.500000,18.656250,18.656250,22458600\n2001-02-01,18.750000,19.093750,17.531250,18.031250,18.031250,20113200\n2001-02-02,18.250000,18.312500,16.437500,16.500000,16.500000,21816200\n2001-02-05,16.343750,17.992149,16.031250,17.531250,17.531250,19448400\n2001-02-06,17.593750,18.250000,17.062500,18.187500,18.187500,20752000\n2001-02-07,17.562500,17.843750,16.312500,16.718750,16.718750,19541600\n2001-02-08,16.843750,16.937500,14.937500,15.093750,15.093750,28289800\n2001-02-09,15.093750,15.250000,13.875000,13.968750,13.968750,23027200\n2001-02-12,14.156250,15.000000,13.843750,14.250000,14.250000,18094400\n2001-02-13,14.468750,14.875000,13.500000,13.562500,13.562500,21768800\n2001-02-14,13.718750,14.468750,12.875000,14.250000,14.250000,22815200\n2001-02-15,14.500000,16.250000,14.500000,15.656250,15.656250,40358600\n2001-02-16,14.656250,15.000000,13.875000,14.093750,14.093750,19290600\n2001-02-20,14.468750,14.937500,13.250000,13.281250,13.281250,26573400\n2001-02-21,13.093750,14.125000,12.937500,13.062500,13.062500,23493200\n2001-02-22,13.250000,13.875000,11.812500,12.000000,12.000000,46159600\n2001-02-23,12.093750,12.750000,11.437500,12.718750,12.718750,28155400\n2001-02-26,12.937500,12.968750,11.718750,12.875000,12.875000,24700600\n2001-02-27,12.625000,12.812500,11.687500,11.718750,11.718750,19961600\n2001-02-28,11.843750,12.562500,11.531250,11.906250,11.906250,20347000\n2001-03-01,11.781250,12.218750,11.093750,12.218750,12.218750,21860200\n2001-03-02,11.460900,11.875000,10.812500,10.843750,10.843750,21483200\n2001-03-05,11.250000,11.437500,10.843750,11.093750,11.093750,17513000\n2001-03-06,11.750000,12.218750,11.156250,11.187500,11.187500,20773600\n2001-03-07,10.984350,11.000000,10.406250,10.468750,10.468750,10498800\n2001-03-08,8.531250,8.875000,8.125000,8.843750,8.843750,118728200\n2001-03-09,8.593750,8.656250,8.218750,8.500000,8.500000,28098800\n2001-03-12,8.125000,8.750000,8.054650,8.187500,8.187500,32844000\n2001-03-13,8.375000,8.601550,7.812500,8.031250,8.031250,29766600\n2001-03-14,7.687500,8.000000,7.468750,7.656250,7.656250,21191000\n2001-03-15,7.937500,8.062500,7.500000,7.500000,7.500000,16375400\n2001-03-16,7.312500,7.531250,6.750000,6.781250,6.781250,24668000\n2001-03-19,7.031250,7.562500,6.843750,7.468750,7.468750,17516200\n2001-03-20,7.625000,7.812500,6.875000,6.968750,6.968750,23528400\n2001-03-21,6.968750,7.250000,6.750000,6.843750,6.843750,15176000\n2001-03-22,7.031250,7.468750,6.765600,7.437500,7.437500,20599000\n2001-03-23,7.687500,7.789050,6.968750,7.218750,7.218750,18004600\n2001-03-26,7.562500,7.562500,7.078100,7.093750,7.093750,12504000\n2001-03-27,7.250000,7.875000,7.125000,7.781250,7.781250,21399000\n2001-03-28,7.687500,7.781250,7.250000,7.468750,7.468750,18186800\n2001-03-29,7.437500,7.500000,7.125000,7.500000,7.500000,17917800\n2001-03-30,7.500000,8.218750,7.187500,7.875000,7.875000,20178000\n2001-04-02,7.687500,7.875000,6.718750,7.000000,7.000000,19148200\n2001-04-03,6.781250,6.843750,5.687500,5.687500,5.687500,29801200\n2001-04-04,5.937500,6.656250,5.875000,6.218750,6.218750,30154800\n2001-04-05,7.531250,7.937500,7.312500,7.625000,7.625000,51246000\n2001-04-06,7.625000,7.906250,7.125000,7.406250,7.406250,30974000\n2001-04-09,7.910000,8.045000,7.475000,7.820000,7.820000,18480400\n2001-04-10,8.020000,8.460000,7.575000,8.010000,8.010000,39976000\n2001-04-11,8.500000,8.625000,7.600000,7.930000,7.930000,37044200\n2001-04-12,7.940000,8.500000,7.575000,8.480000,8.480000,34184400\n2001-04-16,8.260000,9.275000,8.100000,8.810000,8.810000,34724200\n2001-04-17,8.660000,8.900000,8.300000,8.655000,8.655000,35402800\n2001-04-18,9.205000,10.045000,8.995000,9.310000,9.310000,37386800\n2001-04-19,9.495000,10.075000,9.425000,9.980000,9.980000,26405400\n2001-04-20,10.100000,10.490000,9.610000,9.925000,9.925000,25914000\n2001-04-23,9.555000,9.585000,8.935000,8.980000,8.980000,20566200\n2001-04-24,9.125000,9.550000,8.875000,9.005000,9.005000,20524000\n2001-04-25,8.925000,9.370000,8.770000,9.340000,9.340000,14547200\n2001-04-26,9.475000,9.875000,9.060000,9.130000,9.130000,14672000\n2001-04-27,9.555000,9.925000,9.380000,9.750000,9.750000,15259400\n2001-04-30,10.130000,10.525000,9.925000,10.090000,10.090000,21019200\n2001-05-01,10.055000,11.200000,10.000000,11.155000,11.155000,20895600\n2001-05-02,11.385000,11.850000,10.560000,11.460000,11.460000,35659200\n2001-05-03,10.905000,10.985000,10.165000,10.415000,10.415000,19632800\n2001-05-04,9.935000,10.240000,9.675000,10.065000,10.065000,24910200\n2001-05-07,10.010000,10.135000,9.780000,9.990000,9.990000,13814200\n2001-05-08,10.180000,10.190000,9.575000,9.870000,9.870000,15375200\n2001-05-09,9.620000,9.620000,9.200000,9.430000,9.430000,17152000\n2001-05-10,9.660000,9.680000,9.005000,9.115000,9.115000,12491400\n2001-05-11,9.120000,9.215000,8.750000,8.895000,8.895000,9188200\n2001-05-14,8.900000,8.915000,8.475000,8.550000,8.550000,9832800\n2001-05-15,8.650000,9.525000,8.500000,9.030000,9.030000,16877400\n2001-05-16,8.910000,9.935000,8.750000,9.690000,9.690000,19513600\n2001-05-17,9.745000,10.160000,9.690000,9.925000,9.925000,18521800\n2001-05-18,9.780000,10.020000,9.450000,9.680000,9.680000,10363200\n2001-05-21,9.700000,10.750000,9.600000,10.750000,10.750000,23925600\n2001-05-22,11.075000,11.535000,10.750000,11.065000,11.065000,30289800\n2001-05-23,10.935000,10.940000,10.200000,10.220000,10.220000,15063000\n2001-05-24,10.200000,10.775000,9.940000,10.765000,10.765000,17315000\n2001-05-25,10.660000,10.680000,10.260000,10.460000,10.460000,7707000\n2001-05-29,10.425000,10.425000,9.310000,9.395000,9.395000,15425400\n2001-05-30,9.185000,9.520000,8.675000,8.835000,8.835000,16173200\n2001-05-31,8.965000,9.800000,8.925000,9.055000,9.055000,18587600\n2001-06-01,9.295000,10.075000,8.950000,9.730000,9.730000,17945200\n2001-06-04,10.230000,10.250000,9.765000,9.890000,9.890000,24160400\n2001-06-05,9.850000,10.050000,9.680000,10.000000,10.000000,14149800\n2001-06-06,9.945000,10.410000,9.800000,9.840000,9.840000,16235000\n2001-06-07,9.650000,9.715000,9.250000,9.710000,9.710000,15290400\n2001-06-08,9.695000,9.720000,9.225000,9.275000,9.275000,11039600\n2001-06-11,9.120000,9.270000,8.740000,8.930000,8.930000,13595800\n2001-06-12,8.750000,9.260000,8.500000,9.055000,9.055000,15636800\n2001-06-13,9.165000,9.195000,8.540000,8.575000,8.575000,12258000\n2001-06-14,8.530000,8.740000,8.025000,8.235000,8.235000,16570400\n2001-06-15,8.075000,8.375000,7.860000,8.005000,8.005000,17234800\n2001-06-18,8.255000,8.320000,7.640000,7.655000,7.655000,11646000\n2001-06-19,8.190000,8.255000,7.620000,7.780000,7.780000,19567800\n2001-06-20,7.655000,9.255000,7.650000,9.245000,9.245000,21971600\n2001-06-21,9.090000,9.250000,8.610000,8.900000,8.900000,21789600\n2001-06-22,9.020000,9.105000,8.600000,8.655000,8.655000,12910400\n2001-06-25,9.045000,9.985000,9.000000,9.885000,9.885000,33834000\n2001-06-26,9.525000,9.810000,9.155000,9.570000,9.570000,27588400\n2001-06-27,9.750000,9.820000,9.170000,9.365000,9.365000,21202000\n2001-06-28,9.605000,9.840000,9.560000,9.690000,9.690000,16157600\n2001-06-29,9.730000,10.000000,9.550000,9.995000,9.995000,11881000\n2001-07-02,9.830000,10.275000,9.730000,10.020000,10.020000,14062400\n2001-07-03,9.880000,10.075000,9.850000,9.905000,9.905000,7351400\n2001-07-05,10.000000,10.435000,9.480000,9.595000,9.595000,19023800\n2001-07-06,9.470000,9.500000,8.825000,8.940000,8.940000,19318200\n2001-07-09,9.075000,9.435000,9.010000,9.285000,9.285000,14335000\n2001-07-10,9.460000,9.510000,8.890000,8.915000,8.915000,12927200\n2001-07-11,8.470000,8.775000,7.655000,8.515000,8.515000,50231200\n2001-07-12,9.285000,9.310000,8.820000,9.310000,9.310000,31990000\n2001-07-13,9.085000,9.530000,8.875000,9.125000,9.125000,19426200\n2001-07-16,9.015000,9.595000,8.975000,9.005000,9.005000,23582200\n2001-07-17,8.920000,9.350000,8.770000,9.240000,9.240000,15734200\n2001-07-18,8.975000,9.125000,8.400000,8.515000,8.515000,20664000\n2001-07-19,8.785000,8.945000,8.375000,8.715000,8.715000,16326400\n2001-07-20,8.640000,9.025000,8.635000,8.970000,8.970000,17394400\n2001-07-23,9.115000,9.145000,8.710000,8.780000,8.780000,11828200\n2001-07-24,8.540000,8.885000,8.215000,8.485000,8.485000,11831600\n2001-07-25,8.495000,8.625000,8.235000,8.435000,8.435000,10177800\n2001-07-26,8.440000,8.850000,8.300000,8.740000,8.740000,11784000\n2001-07-27,8.710000,9.250000,8.600000,9.010000,9.010000,12615800\n2001-07-30,9.090000,9.195000,8.740000,8.900000,8.900000,8501600\n2001-07-31,8.975000,9.125000,8.750000,8.810000,8.810000,9468400\n2001-08-01,9.030000,9.295000,8.935000,9.145000,9.145000,14035200\n2001-08-02,9.345000,9.350000,9.000000,9.225000,9.225000,7531600\n2001-08-03,9.245000,9.255000,8.855000,8.935000,8.935000,7477600\n2001-08-06,8.875000,8.920000,8.630000,8.695000,8.695000,7260600\n2001-08-07,8.675000,8.910000,8.515000,8.650000,8.650000,7591400\n2001-08-08,8.615000,8.750000,8.220000,8.275000,8.275000,10008800\n2001-08-09,8.280000,8.285000,7.800000,8.140000,8.140000,16024400\n2001-08-10,8.045000,8.130000,7.625000,7.710000,7.710000,18642400\n2001-08-13,7.760000,7.900000,7.650000,7.820000,7.820000,10381800\n2001-08-14,7.945000,8.005000,7.370000,7.490000,7.490000,17311400\n2001-08-15,7.525000,7.540000,6.920000,7.130000,7.130000,21956200\n2001-08-16,6.980000,7.470000,6.975000,7.395000,7.395000,14791200\n2001-08-17,7.250000,7.310000,7.000000,7.025000,7.025000,9049600\n2001-08-20,7.020000,7.390000,6.875000,7.230000,7.230000,9762600\n2001-08-21,7.340000,7.345000,6.500000,6.505000,6.505000,12589800\n2001-08-22,6.720000,6.735000,6.375000,6.700000,6.700000,18209000\n2001-08-23,6.645000,6.925000,6.565000,6.630000,6.630000,15656400\n2001-08-24,6.690000,7.135000,6.600000,7.055000,7.055000,13311000\n2001-08-27,7.035000,7.035000,6.505000,6.710000,6.710000,15045400\n2001-08-28,6.760000,6.860000,6.500000,6.500000,6.500000,14270400\n2001-08-29,6.570000,6.670000,6.000000,6.070000,6.070000,21579600\n2001-08-30,6.000000,6.000000,5.510000,5.660000,5.660000,23788000\n2001-08-31,5.660000,5.950000,5.585000,5.930000,5.930000,15667000\n2001-09-04,5.980000,6.205000,5.740000,5.850000,5.850000,18605800\n2001-09-05,5.845000,5.845000,5.225000,5.320000,5.320000,24114600\n2001-09-06,5.515000,5.775000,5.285000,5.550000,5.550000,29971200\n2001-09-07,5.370000,5.580000,5.270000,5.375000,5.375000,17791800\n2001-09-10,5.365000,6.175000,5.355000,5.870000,5.870000,29562800\n2001-09-17,5.275000,5.660000,5.125000,5.440000,5.440000,34958200\n2001-09-18,5.400000,5.565000,5.015000,5.050000,5.050000,20893400\n2001-09-19,5.095000,5.200000,4.900000,5.035000,5.035000,24542000\n2001-09-20,4.975000,5.170000,4.905000,4.985000,4.985000,16103200\n2001-09-21,4.665000,4.700000,4.250000,4.340000,4.340000,25924800\n2001-09-24,4.545000,4.730000,4.410000,4.625000,4.625000,15538800\n2001-09-25,4.580000,5.020000,4.500000,4.640000,4.640000,23675000\n2001-09-26,4.675000,4.750000,4.050000,4.055000,4.055000,15748000\n2001-09-27,4.020000,4.625000,4.010000,4.555000,4.555000,29073200\n2001-09-28,4.580000,4.625000,4.300000,4.405000,4.405000,13111800\n2001-10-01,4.350000,4.600000,4.225000,4.545000,4.545000,14021600\n2001-10-02,4.510000,4.625000,4.445000,4.620000,4.620000,10246400\n2001-10-03,4.455000,5.000000,4.420000,4.955000,4.955000,23861000\n2001-10-04,5.085000,5.795000,4.840000,5.340000,5.340000,35863200\n2001-10-05,5.150000,5.300000,5.025000,5.175000,5.175000,12420400\n2001-10-08,5.025000,5.445000,4.955000,5.245000,5.245000,14124400\n2001-10-09,5.205000,5.300000,5.005000,5.080000,5.080000,12246400\n2001-10-10,5.040000,5.625000,5.005000,5.465000,5.465000,26617400\n2001-10-11,5.980000,6.340000,5.850000,6.250000,6.250000,58265400\n2001-10-12,6.105000,6.130000,5.730000,6.040000,6.040000,29939200\n2001-10-15,5.930000,6.195000,5.775000,6.035000,6.035000,11493000\n2001-10-16,6.095000,6.335000,6.005000,6.250000,6.250000,13847800\n2001-10-17,6.515000,6.590000,5.655000,5.680000,5.680000,23678200\n2001-10-18,5.745000,5.920000,5.540000,5.635000,5.635000,14633600\n2001-10-19,5.560000,5.730000,5.405000,5.685000,5.685000,13111600\n2001-10-22,5.700000,5.940000,5.535000,5.890000,5.890000,11827000\n2001-10-23,5.965000,6.145000,5.700000,5.790000,5.790000,20593400\n2001-10-24,5.890000,6.020000,5.625000,5.975000,5.975000,12465200\n2001-10-25,5.735000,6.160000,5.585000,6.125000,6.125000,20753600\n2001-10-26,6.070000,6.290000,5.865000,6.030000,6.030000,11832200\n2001-10-29,5.975000,6.075000,5.645000,5.650000,5.650000,14799000\n2001-10-30,5.520000,5.710000,5.310000,5.545000,5.545000,14171600\n2001-10-31,5.765000,5.845000,5.435000,5.440000,5.440000,11277200\n2001-11-01,5.535000,5.670000,5.335000,5.600000,5.600000,14626000\n2001-11-02,5.565000,5.625000,5.415000,5.480000,5.480000,10678000\n2001-11-05,5.630000,6.000000,5.590000,5.995000,5.995000,15136800\n2001-11-06,5.950000,6.575000,5.915000,6.495000,6.495000,23447200\n2001-11-07,6.400000,7.005000,6.400000,6.715000,6.715000,29029000\n2001-11-08,6.890000,7.140000,6.485000,6.560000,6.560000,22932000\n2001-11-09,6.610000,6.885000,6.485000,6.860000,6.860000,18362800\n2001-11-12,6.775000,6.885000,6.420000,6.850000,6.850000,15510000\n2001-11-13,7.130000,7.145000,6.900000,6.985000,6.985000,15337600\n2001-11-14,7.285000,7.690000,7.210000,7.605000,7.605000,29540000\n2001-11-15,7.445000,7.730000,7.275000,7.415000,7.415000,30830600\n2001-11-16,7.635000,8.000000,7.525000,7.735000,7.735000,31970800\n2001-11-19,8.020000,8.175000,7.810000,8.140000,8.140000,17486200\n2001-11-20,7.940000,8.000000,7.440000,7.445000,7.445000,26776200\n2001-11-21,7.490000,7.630000,7.110000,7.465000,7.465000,16417400\n2001-11-23,7.590000,7.890000,7.505000,7.865000,7.865000,9200200\n2001-11-26,8.175000,9.045000,8.100000,9.035000,9.035000,45330600\n2001-11-27,8.700000,8.970000,8.450000,8.700000,8.700000,43562200\n2001-11-28,8.520000,8.725000,8.050000,8.105000,8.105000,25570400\n2001-11-29,8.300000,8.350000,7.750000,8.350000,8.350000,33130200\n2001-11-30,8.350000,8.390000,7.680000,7.785000,7.785000,25159000\n2001-12-03,8.150000,8.175000,7.875000,7.915000,7.915000,22941800\n2001-12-04,8.145000,8.515000,8.005000,8.480000,8.480000,22457600\n2001-12-05,8.565000,8.800000,8.265000,8.530000,8.530000,40721000\n2001-12-06,8.770000,9.750000,8.635000,9.510000,9.510000,61513000\n2001-12-07,8.955000,9.115000,8.735000,8.835000,8.835000,32549200\n2001-12-10,8.815000,9.350000,8.800000,8.910000,8.910000,23105800\n2001-12-11,9.250000,9.500000,9.005000,9.210000,9.210000,29282400\n2001-12-12,9.515000,9.665000,9.325000,9.570000,9.570000,31213200\n2001-12-13,9.105000,9.155000,8.790000,8.790000,8.790000,22921200\n2001-12-14,9.020000,9.020000,8.270000,8.605000,8.605000,20105600\n2001-12-17,8.600000,9.035000,8.565000,8.930000,8.930000,15448400\n2001-12-18,9.170000,9.225000,8.980000,9.190000,9.190000,15585200\n2001-12-19,8.975000,9.150000,8.715000,8.855000,8.855000,13653200\n2001-12-20,8.800000,9.095000,8.075000,8.110000,8.110000,20588400\n2001-12-21,8.485000,8.640000,8.250000,8.460000,8.460000,23752600\n2001-12-24,8.445000,8.510000,8.275000,8.335000,8.335000,4194400\n2001-12-26,9.025000,9.135000,8.655000,8.755000,8.755000,25327400\n2001-12-27,8.975000,9.045000,8.770000,8.885000,8.885000,15643400\n2001-12-28,9.325000,9.440000,9.145000,9.150000,9.150000,25317400\n2001-12-31,9.255000,9.275000,8.800000,8.870000,8.870000,18827800\n2002-01-02,9.070000,9.345000,8.840000,9.315000,9.315000,21903600\n2002-01-03,9.350000,9.645000,9.270000,9.565000,9.565000,23668000\n2002-01-04,9.500000,9.905000,9.265000,9.450000,9.450000,24050200\n2002-01-07,9.350000,9.970000,9.325000,9.865000,9.865000,29516400\n2002-01-08,9.700000,9.865000,9.625000,9.765000,9.765000,19021200\n2002-01-09,9.900000,10.675000,9.885000,10.125000,10.125000,38134400\n2002-01-10,10.030000,10.355000,9.975000,10.245000,10.245000,21084800\n2002-01-11,10.260000,10.450000,10.010000,10.080000,10.080000,14488200\n2002-01-14,9.855000,9.960000,9.435000,9.505000,9.505000,21948400\n2002-01-15,9.610000,9.740000,9.410000,9.735000,9.735000,16099200\n2002-01-16,9.460000,9.540000,8.900000,8.935000,8.935000,39965800\n2002-01-17,9.685000,10.190000,9.625000,10.060000,10.060000,59843400\n2002-01-18,9.830000,9.990000,9.475000,9.600000,9.600000,35842800\n2002-01-22,9.950000,10.025000,9.200000,9.210000,9.210000,28990600\n2002-01-23,9.400000,9.425000,8.985000,9.220000,9.220000,21565200\n2002-01-24,9.465000,9.700000,9.010000,9.095000,9.095000,29277400\n2002-01-25,9.160000,9.425000,9.030000,9.340000,9.340000,20250600\n2002-01-28,9.415000,9.455000,9.200000,9.350000,9.350000,12314400\n2002-01-29,9.405000,9.405000,8.855000,9.090000,9.090000,20109600\n2002-01-30,9.095000,9.100000,8.090000,8.595000,8.595000,37318600\n2002-01-31,8.850000,8.900000,8.395000,8.620000,8.620000,15431600\n2002-02-01,8.630000,8.650000,8.175000,8.340000,8.340000,13860200\n2002-02-04,8.275000,8.300000,7.800000,7.875000,7.875000,17827400\n2002-02-05,7.780000,8.080000,7.615000,7.885000,7.885000,21340200\n2002-02-06,8.045000,8.050000,7.750000,7.945000,7.945000,25175200\n2002-02-07,7.830000,7.875000,7.475000,7.675000,7.675000,21492200\n2002-02-08,7.705000,8.360000,7.665000,8.325000,8.325000,18556800\n2002-02-11,8.200000,8.410000,8.060000,8.275000,8.275000,12847800\n2002-02-12,8.190000,8.265000,8.060000,8.165000,8.165000,9701200\n2002-02-13,8.340000,8.590000,8.205000,8.395000,8.395000,24922800\n2002-02-14,8.460000,8.675000,8.250000,8.285000,8.285000,13740600\n2002-02-15,8.350000,8.355000,7.745000,7.835000,7.835000,15085000\n2002-02-19,7.560000,7.575000,7.125000,7.220000,7.220000,24867000\n2002-02-20,7.370000,7.715000,7.005000,7.645000,7.645000,25165200\n2002-02-21,7.575000,7.675000,7.175000,7.220000,7.220000,20302000\n2002-02-22,7.150000,7.330000,6.705000,7.230000,7.230000,18192000\n2002-02-25,7.210000,7.625000,7.045000,7.500000,7.500000,19819800\n2002-02-26,7.555000,7.565000,7.080000,7.465000,7.465000,16967000\n2002-02-27,7.545000,7.690000,7.225000,7.275000,7.275000,16609200\n2002-02-28,7.315000,7.505000,7.125000,7.230000,7.230000,16732200\n2002-03-01,7.465000,8.345000,7.465000,8.305000,8.305000,33485400\n2002-03-04,8.565000,9.035000,8.475000,8.905000,8.905000,32436200\n2002-03-05,8.645000,9.130000,8.585000,9.095000,9.095000,28806400\n2002-03-06,8.925000,9.250000,8.815000,9.130000,9.130000,23403200\n2002-03-07,9.155000,9.250000,8.810000,8.970000,8.970000,16618600\n2002-03-08,9.220000,9.490000,9.025000,9.465000,9.465000,19056800\n2002-03-11,9.255000,10.270000,9.255000,10.250000,10.250000,34095200\n2002-03-12,9.675000,9.905000,9.450000,9.680000,9.680000,29150400\n2002-03-13,9.375000,9.800000,9.375000,9.610000,9.610000,16346600\n2002-03-14,9.520000,9.695000,9.450000,9.615000,9.615000,11820400\n2002-03-15,9.750000,9.800000,9.065000,9.360000,9.360000,26581200\n2002-03-18,9.370000,9.630000,9.330000,9.605000,9.605000,15079000\n2002-03-19,9.585000,9.725000,9.495000,9.545000,9.545000,10785200\n2002-03-20,9.335000,9.545000,9.080000,9.100000,9.100000,10253600\n2002-03-21,9.175000,9.375000,8.800000,9.295000,9.295000,20458800\n2002-03-22,9.210000,9.380000,9.090000,9.215000,9.215000,13243400\n2002-03-25,9.200000,9.440000,8.860000,8.915000,8.915000,10465600\n2002-03-26,8.810000,9.225000,8.785000,8.845000,8.845000,16236600\n2002-03-27,8.855000,8.975000,8.645000,8.925000,8.925000,11252400\n2002-03-28,9.015000,9.245000,8.935000,9.235000,9.235000,10132400\n2002-04-01,9.375000,9.425000,9.000000,9.340000,9.340000,12873600\n2002-04-02,9.220000,9.250000,8.925000,9.025000,9.025000,14504000\n2002-04-03,9.115000,9.140000,8.755000,8.910000,8.910000,14094000\n2002-04-04,8.905000,8.910000,8.550000,8.830000,8.830000,15151200\n2002-04-05,8.870000,9.240000,8.855000,9.085000,9.085000,18153400\n2002-04-08,8.800000,9.425000,8.675000,9.420000,9.420000,26425800\n2002-04-09,9.475000,9.575000,9.195000,9.230000,9.230000,21637800\n2002-04-10,9.350000,9.405000,8.750000,9.220000,9.220000,33023200\n2002-04-11,8.430000,8.435000,7.630000,7.725000,7.725000,68269000\n2002-04-12,7.910000,7.995000,7.750000,7.860000,7.860000,23181000\n2002-04-15,7.950000,8.035000,7.660000,7.705000,7.705000,18348600\n2002-04-16,7.765000,7.775000,7.525000,7.695000,7.695000,29637400\n2002-04-17,7.790000,7.950000,7.740000,7.945000,7.945000,22728800\n2002-04-18,7.885000,7.920000,7.500000,7.530000,7.530000,16957400\n2002-04-19,7.600000,7.625000,7.375000,7.380000,7.380000,18159800\n2002-04-22,7.365000,7.365000,6.940000,7.070000,7.070000,19980800\n2002-04-23,7.055000,7.140000,6.935000,7.085000,7.085000,14515400\n2002-04-24,7.340000,7.545000,7.250000,7.305000,7.305000,26954000\n2002-04-25,7.120000,7.385000,7.085000,7.175000,7.175000,16614200\n2002-04-26,7.455000,7.475000,7.175000,7.250000,7.250000,19087600\n2002-04-29,7.235000,7.350000,6.985000,7.105000,7.105000,15803200\n2002-04-30,7.110000,7.525000,7.080000,7.380000,7.380000,21189800\n2002-05-01,7.395000,7.925000,7.060000,7.820000,7.820000,26775600\n2002-05-02,7.595000,7.885000,7.400000,7.500000,7.500000,21428600\n2002-05-03,7.510000,7.550000,7.235000,7.385000,7.385000,12639200\n2002-05-06,7.320000,7.630000,7.195000,7.300000,7.300000,15049000\n2002-05-07,7.390000,7.525000,7.280000,7.370000,7.370000,12768800\n2002-05-08,7.615000,8.185000,7.550000,8.160000,8.160000,21358200\n2002-05-09,7.825000,8.325000,7.795000,8.185000,8.185000,22037600\n2002-05-10,8.100000,8.225000,7.700000,7.730000,7.730000,17620000\n2002-05-13,7.830000,8.115000,7.825000,7.990000,7.990000,14218400\n2002-05-14,8.345000,8.910000,8.325000,8.775000,8.775000,24921600\n2002-05-15,8.585000,8.990000,8.525000,8.890000,8.890000,21283600\n2002-05-16,8.830000,9.100000,8.775000,9.015000,9.015000,14107400\n2002-05-17,9.095000,9.225000,8.835000,9.000000,9.000000,12264200\n2002-05-20,8.855000,8.860000,8.445000,8.585000,8.585000,14262800\n2002-05-21,8.610000,8.635000,8.250000,8.365000,8.365000,9908600\n2002-05-22,8.295000,8.570000,7.965000,8.135000,8.135000,16974200\n2002-05-23,8.265000,8.565000,8.125000,8.545000,8.545000,14567800\n2002-05-24,8.435000,8.550000,8.250000,8.505000,8.505000,8892600\n2002-05-28,8.575000,8.580000,8.080000,8.275000,8.275000,9969600\n2002-05-29,8.245000,8.440000,8.115000,8.290000,8.290000,10859600\n2002-05-30,8.180000,8.330000,8.025000,8.210000,8.210000,9002800\n2002-05-31,8.315000,8.350000,7.975000,8.010000,8.010000,11485200\n2002-06-03,8.060000,8.200000,7.825000,7.840000,7.840000,12299800\n2002-06-04,7.755000,8.150000,7.575000,8.000000,8.000000,15346800\n2002-06-05,8.030000,8.045000,7.745000,8.005000,8.005000,11977400\n2002-06-06,7.985000,8.210000,7.855000,7.995000,7.995000,13621000\n2002-06-07,7.750000,8.115000,7.725000,7.930000,7.930000,15696600\n2002-06-10,7.935000,8.105000,7.775000,7.920000,7.920000,9751200\n2002-06-11,7.985000,8.195000,7.880000,7.930000,7.930000,10988400\n2002-06-12,7.815000,8.025000,7.540000,7.915000,7.915000,17325200\n2002-06-13,7.815000,8.100000,7.750000,7.985000,7.985000,10379800\n2002-06-14,7.750000,8.035000,7.510000,7.980000,7.980000,13859800\n2002-06-17,7.955000,8.535000,7.885000,8.390000,8.390000,14372200\n2002-06-18,8.260000,8.525000,8.225000,8.325000,8.325000,11408600\n2002-06-19,8.230000,8.435000,8.005000,8.010000,8.010000,13765800\n2002-06-20,8.015000,8.110000,7.735000,7.825000,7.825000,14256800\n2002-06-21,7.530000,7.800000,7.450000,7.745000,7.745000,17888200\n2002-06-24,7.695000,7.700000,7.265000,7.540000,7.540000,19801800\n2002-06-25,7.600000,7.685000,6.735000,6.860000,6.860000,29930600\n2002-06-26,6.515000,7.350000,6.410000,7.090000,7.090000,27075400\n2002-06-27,7.215000,7.350000,6.620000,7.090000,7.090000,23792600\n2002-06-28,7.050000,7.435000,6.960000,7.380000,7.380000,13724200\n2002-07-01,7.380000,7.430000,6.775000,6.815000,6.815000,15985000\n2002-07-02,6.790000,6.795000,5.830000,5.940000,5.940000,34056000\n2002-07-03,5.975000,6.490000,5.935000,6.390000,6.390000,25270400\n2002-07-05,6.590000,6.825000,6.500000,6.810000,6.810000,9540600\n2002-07-08,6.650000,6.900000,6.425000,6.445000,6.445000,21260400\n2002-07-09,6.490000,6.560000,6.275000,6.350000,6.350000,18565400\n2002-07-10,6.460000,6.535000,6.030000,6.095000,6.095000,43756600\n2002-07-11,5.575000,6.580000,5.555000,6.460000,6.460000,80174600\n2002-07-12,6.395000,6.665000,6.310000,6.470000,6.470000,35516000\n2002-07-15,6.405000,6.835000,6.180000,6.530000,6.530000,39270800\n2002-07-16,6.430000,7.165000,6.410000,6.880000,6.880000,34376200\n2002-07-17,7.120000,7.400000,6.960000,7.130000,7.130000,31584000\n2002-07-18,7.035000,7.125000,6.765000,6.790000,6.790000,21366600\n2002-07-19,6.670000,6.740000,6.490000,6.685000,6.685000,19755600\n2002-07-22,6.580000,6.985000,6.420000,6.660000,6.660000,26279400\n2002-07-23,6.770000,6.845000,6.325000,6.330000,6.330000,24089400\n2002-07-24,6.150000,6.795000,5.950000,6.790000,6.790000,30755600\n2002-07-25,6.530000,6.570000,5.955000,6.080000,6.080000,39191600\n2002-07-26,6.235000,6.425000,6.095000,6.350000,6.350000,24620400\n2002-07-29,6.475000,6.635000,6.420000,6.595000,6.595000,17167200\n2002-07-30,6.460000,6.945000,6.435000,6.695000,6.695000,19163200\n2002-07-31,6.580000,6.740000,6.465000,6.585000,6.585000,14406800\n2002-08-01,6.530000,6.535000,6.055000,6.080000,6.080000,16597800\n2002-08-02,6.085000,6.090000,5.660000,5.790000,5.790000,17923400\n2002-08-05,5.795000,5.815000,5.375000,5.445000,5.445000,16354600\n2002-08-06,5.620000,5.970000,5.555000,5.750000,5.750000,15271000\n2002-08-07,6.005000,6.095000,5.375000,5.715000,5.715000,16859000\n2002-08-08,5.695000,6.050000,5.650000,5.980000,5.980000,13103000\n2002-08-09,5.875000,6.095000,5.815000,5.980000,5.980000,9686400\n2002-08-12,5.840000,5.990000,5.745000,5.985000,5.985000,9145000\n2002-08-13,5.945000,6.225000,5.580000,5.595000,5.595000,20229400\n2002-08-14,5.565000,5.985000,5.465000,5.855000,5.855000,19843800\n2002-08-15,5.950000,6.145000,5.880000,6.110000,6.110000,13778400\n2002-08-16,6.060000,6.135000,5.830000,6.050000,6.050000,14823000\n2002-08-19,6.025000,6.775000,6.020000,6.735000,6.735000,25111800\n2002-08-20,6.585000,6.730000,6.450000,6.545000,6.545000,16508200\n2002-08-21,6.675000,6.740000,6.350000,6.450000,6.450000,20940400\n2002-08-22,6.510000,6.550000,6.265000,6.400000,6.400000,21010800\n2002-08-23,6.375000,6.385000,5.900000,6.010000,6.010000,17538200\n2002-08-26,6.080000,6.085000,5.570000,5.655000,5.655000,22961600\n2002-08-27,5.765000,5.765000,5.280000,5.350000,5.350000,25004800\n2002-08-28,5.320000,5.325000,4.565000,4.565000,4.565000,55790200\n2002-08-29,4.870000,5.205000,4.860000,5.125000,5.125000,70994200\n2002-08-30,5.085000,5.225000,5.005000,5.145000,5.145000,23827400\n2002-09-03,5.020000,5.040000,4.805000,4.855000,4.855000,26393200\n2002-09-04,4.890000,4.975000,4.715000,4.885000,4.885000,26636600\n2002-09-05,4.815000,4.815000,4.570000,4.595000,4.595000,19218400\n2002-09-06,4.780000,5.010000,4.755000,4.970000,4.970000,17477400\n2002-09-09,4.815000,5.180000,4.760000,5.075000,5.075000,18977400\n2002-09-10,5.075000,5.340000,5.065000,5.230000,5.230000,19370400\n2002-09-11,5.215000,5.550000,5.215000,5.360000,5.360000,15065800\n2002-09-12,5.240000,5.310000,5.125000,5.175000,5.175000,20129400\n2002-09-13,5.100000,5.325000,5.015000,5.230000,5.230000,13731400\n2002-09-16,5.230000,5.295000,5.090000,5.090000,5.090000,9599200\n2002-09-17,5.325000,5.340000,5.000000,5.005000,5.005000,10153200\n2002-09-18,5.000000,5.060000,4.835000,5.000000,5.000000,9826200\n2002-09-19,4.780000,4.950000,4.750000,4.750000,4.750000,9647400\n2002-09-20,4.850000,4.885000,4.700000,4.875000,4.875000,12771200\n2002-09-23,4.790000,4.825000,4.500000,4.540000,4.540000,16616400\n2002-09-24,4.475000,4.730000,4.470000,4.500000,4.500000,18029000\n2002-09-25,4.625000,5.030000,4.525000,4.955000,4.955000,24466200\n2002-09-26,5.115000,5.355000,5.060000,5.295000,5.295000,36120400\n2002-09-27,5.100000,5.410000,5.075000,5.290000,5.290000,14591000\n2002-09-30,5.190000,5.190000,4.770000,4.785000,4.785000,21264200\n2002-10-01,4.950000,4.970000,4.660000,4.850000,4.850000,18278800\n2002-10-02,4.835000,5.140000,4.700000,4.740000,4.740000,17789000\n2002-10-03,4.780000,5.000000,4.650000,4.695000,4.695000,12065600\n2002-10-04,4.770000,4.785000,4.625000,4.670000,4.670000,11016800\n2002-10-07,4.625000,4.745000,4.505000,4.540000,4.540000,10617800\n2002-10-08,4.690000,4.790000,4.530000,4.750000,4.750000,16115000\n2002-10-09,4.720000,5.045000,4.640000,4.990000,4.990000,38622600\n2002-10-10,5.680000,6.150000,5.650000,6.135000,6.135000,125565800\n2002-10-11,6.125000,6.750000,6.125000,6.680000,6.680000,65590000\n2002-10-14,6.445000,7.350000,6.440000,7.130000,7.130000,65224200\n2002-10-15,7.490000,7.615000,7.070000,7.210000,7.210000,75204200\n2002-10-16,6.900000,7.415000,6.860000,7.340000,7.340000,45494600\n2002-10-17,7.370000,7.490000,6.955000,7.335000,7.335000,45500400\n2002-10-18,7.205000,7.525000,7.145000,7.515000,7.515000,30130400\n2002-10-21,7.305000,7.550000,7.125000,7.480000,7.480000,35637800\n2002-10-22,7.255000,7.455000,7.155000,7.425000,7.425000,29231800\n2002-10-23,7.280000,7.535000,7.175000,7.535000,7.535000,29811600\n2002-10-24,7.700000,7.795000,7.425000,7.530000,7.530000,35035000\n2002-10-25,7.425000,7.520000,7.350000,7.460000,7.460000,24087400\n2002-10-28,7.675000,7.675000,7.265000,7.330000,7.330000,20800000\n2002-10-29,7.255000,7.400000,7.110000,7.150000,7.150000,19701000\n2002-10-30,7.145000,7.530000,7.050000,7.490000,7.490000,18673200\n2002-10-31,7.510000,7.660000,7.355000,7.460000,7.460000,20530800\n2002-11-01,7.350000,7.615000,7.250000,7.575000,7.575000,19034000\n2002-11-04,7.755000,8.745000,7.750000,8.385000,8.385000,45498600\n2002-11-05,8.150000,8.545000,8.130000,8.515000,8.515000,24968000\n2002-11-06,8.545000,8.720000,8.310000,8.690000,8.690000,50040000\n2002-11-07,8.075000,8.090000,7.665000,7.800000,7.800000,45190000\n2002-11-08,7.740000,7.970000,7.680000,7.840000,7.840000,18175400\n2002-11-11,7.765000,7.850000,7.425000,7.460000,7.460000,15788200\n2002-11-12,7.545000,7.865000,7.420000,7.740000,7.740000,16587000\n2002-11-13,7.695000,7.950000,7.540000,7.720000,7.720000,21902200\n2002-11-14,7.980000,8.375000,7.925000,8.350000,8.350000,21356200\n2002-11-15,8.190000,8.755000,8.000000,8.725000,8.725000,29216000\n2002-11-18,8.700000,9.000000,8.695000,8.880000,8.880000,19682600\n2002-11-19,8.630000,8.795000,8.285000,8.375000,8.375000,21809200\n2002-11-20,8.585000,9.005000,8.425000,9.000000,9.000000,21584600\n2002-11-21,8.995000,9.400000,8.965000,9.155000,9.155000,27018400\n2002-11-22,9.350000,9.380000,9.055000,9.200000,9.200000,16801400\n2002-11-25,9.250000,9.300000,8.925000,9.195000,9.195000,15369200\n2002-11-26,9.210000,9.250000,8.950000,9.065000,9.065000,18048200\n2002-11-27,9.165000,9.295000,9.085000,9.195000,9.195000,12832400\n2002-11-29,9.245000,9.300000,9.045000,9.135000,9.135000,8669600\n2002-12-02,9.350000,9.485000,8.960000,9.020000,9.020000,15975200\n2002-12-03,8.680000,8.810000,8.610000,8.680000,8.680000,14968400\n2002-12-04,8.580000,8.625000,8.285000,8.370000,8.370000,21054800\n2002-12-05,8.530000,8.560000,8.250000,8.275000,8.275000,10059200\n2002-12-06,8.160000,8.470000,8.085000,8.370000,8.370000,9903400\n2002-12-09,8.300000,8.330000,7.855000,7.870000,7.870000,12543800\n2002-12-10,7.935000,8.345000,7.935000,8.135000,8.135000,16256400\n2002-12-11,8.150000,8.390000,8.045000,8.230000,8.230000,10198600\n2002-12-12,8.400000,8.925000,8.180000,8.840000,8.840000,25788000\n2002-12-13,8.700000,9.095000,8.640000,8.700000,8.700000,31478800\n2002-12-16,8.690000,8.800000,8.520000,8.650000,8.650000,18587400\n2002-12-17,8.550000,8.875000,8.545000,8.760000,8.760000,15719400\n2002-12-18,8.610000,8.675000,8.295000,8.400000,8.400000,13168600\n2002-12-19,8.285000,8.560000,8.050000,8.355000,8.355000,21200200\n2002-12-20,8.505000,8.575000,8.350000,8.540000,8.540000,18247400\n2002-12-23,8.400000,8.890000,8.285000,8.860000,8.860000,14434400\n2002-12-24,8.665000,8.900000,8.660000,8.685000,8.685000,6323400\n2002-12-26,8.660000,8.770000,8.425000,8.475000,8.475000,9446200\n2002-12-27,8.430000,8.690000,8.215000,8.290000,8.290000,9223400\n2002-12-30,8.225000,8.405000,8.090000,8.240000,8.240000,11204800\n2002-12-31,8.175000,8.310000,8.090000,8.175000,8.175000,8761000\n2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400\n2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600\n2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400\n2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600\n2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600\n2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400\n2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600\n2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600\n2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600\n2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000\n2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400\n2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600\n2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600\n2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600\n2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400\n2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400\n2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600\n2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800\n2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800\n2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000\n2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000\n2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600\n2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400\n2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800\n2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000\n2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200\n2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400\n2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800\n2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000\n2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800\n2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600\n2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400\n2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400\n2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000\n2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200\n2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400\n2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200\n2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400\n2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600\n2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000\n2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600\n2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000\n2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000\n2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200\n2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200\n2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800\n2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800\n2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400\n2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400\n2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000\n2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000\n2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000\n2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000\n2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600\n2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200\n2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000\n2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400\n2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800\n2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400\n2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600\n2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200\n2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200\n2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400\n2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400\n2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200\n2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400\n2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000\n2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400\n2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000\n2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000\n2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000\n2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400\n2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600\n2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000\n2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800\n2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200\n2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000\n2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600\n2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800\n2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400\n2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400\n2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800\n2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600\n2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000\n2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600\n2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600\n2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200\n2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200\n2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000\n2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200\n2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200\n2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400\n2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400\n2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200\n2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400\n2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400\n2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400\n2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600\n2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200\n2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600\n2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200\n2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800\n2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800\n2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600\n2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400\n2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000\n2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800\n2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200\n2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400\n2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600\n2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800\n2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000\n2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000\n2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000\n2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600\n2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800\n2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200\n2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800\n2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200\n2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600\n2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600\n2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600\n2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200\n2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200\n2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600\n2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800\n2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600\n2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200\n2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200\n2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200\n2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800\n2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000\n2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600\n2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200\n2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000\n2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600\n2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200\n2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800\n2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400\n2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400\n2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000\n2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800\n2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800\n2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200\n2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800\n2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000\n2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200\n2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200\n2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200\n2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000\n2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600\n2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000\n2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400\n2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200\n2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400\n2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400\n2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000\n2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800\n2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600\n2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200\n2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000\n2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000\n2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800\n2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400\n2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800\n2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400\n2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400\n2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000\n2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600\n2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200\n2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800\n2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600\n2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200\n2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200\n2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000\n2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400\n2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400\n2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600\n2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000\n2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800\n2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800\n2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000\n2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600\n2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000\n2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000\n2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000\n2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600\n2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000\n2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400\n2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000\n2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800\n2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400\n2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000\n2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600\n2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800\n2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200\n2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800\n2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800\n2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600\n2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800\n2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000\n2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600\n2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400\n2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000\n2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400\n2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600\n2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000\n2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600\n2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800\n2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800\n2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000\n2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400\n2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800\n2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200\n2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200\n2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600\n2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200\n2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600\n2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800\n2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200\n2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600\n2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400\n2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800\n2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000\n2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400\n2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200\n2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000\n2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800\n2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600\n2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200\n2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000\n2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400\n2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400\n2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800\n2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000\n2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600\n2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000\n2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400\n2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000\n2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800\n2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000\n2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600\n2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600\n2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800\n2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800\n2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400\n2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800\n2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400\n2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400\n2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400\n2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200\n2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600\n2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000\n2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800\n2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800\n2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000\n2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200\n2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400\n2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400\n2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400\n2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200\n2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800\n2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600\n2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000\n2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800\n2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000\n2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400\n2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000\n2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800\n2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200\n2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200\n2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400\n2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400\n2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400\n2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400\n2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400\n2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600\n2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600\n2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800\n2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200\n2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000\n2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400\n2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800\n2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000\n2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800\n2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000\n2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400\n2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200\n2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000\n2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200\n2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600\n2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200\n2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200\n2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400\n2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400\n2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600\n2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600\n2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200\n2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600\n2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800\n2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800\n2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200\n2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800\n2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200\n2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200\n2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000\n2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600\n2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400\n2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400\n2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000\n2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800\n2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600\n2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400\n2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800\n2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000\n2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600\n2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400\n2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800\n2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600\n2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800\n2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800\n2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600\n2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400\n2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400\n2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600\n2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800\n2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800\n2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200\n2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000\n2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200\n2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400\n2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600\n2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400\n2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400\n2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600\n2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200\n2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800\n2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000\n2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600\n2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000\n2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600\n2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400\n2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100\n2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800\n2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900\n2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900\n2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700\n2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100\n2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200\n2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000\n2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900\n2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100\n2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100\n2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100\n2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800\n2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700\n2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600\n2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900\n2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800\n2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200\n2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200\n2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900\n2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700\n2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900\n2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000\n2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800\n2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700\n2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400\n2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400\n2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600\n2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700\n2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000\n2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800\n2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200\n2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200\n2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100\n2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400\n2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300\n2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900\n2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600\n2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700\n2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600\n2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900\n2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300\n2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700\n2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000\n2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300\n2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300\n2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500\n2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300\n2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400\n2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300\n2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500\n2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200\n2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700\n2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300\n2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700\n2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800\n2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200\n2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500\n2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000\n2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200\n2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700\n2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700\n2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300\n2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300\n2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400\n2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600\n2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800\n2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300\n2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500\n2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700\n2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400\n2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400\n2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100\n2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000\n2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500\n2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700\n2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700\n2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100\n2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700\n2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700\n2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200\n2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200\n2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800\n2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500\n2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400\n2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600\n2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900\n2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100\n2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000\n2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200\n2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500\n2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800\n2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100\n2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600\n2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800\n2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200\n2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700\n2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900\n2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300\n2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100\n2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400\n2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000\n2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700\n2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700\n2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400\n2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000\n2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300\n2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600\n2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500\n2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400\n2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600\n2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900\n2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000\n2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200\n2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300\n2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700\n2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100\n2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200\n2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500\n2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900\n2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400\n2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500\n2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300\n2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100\n2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500\n2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800\n2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400\n2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100\n2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200\n2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100\n2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100\n2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100\n2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000\n2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600\n2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100\n2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000\n2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200\n2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900\n2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100\n2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100\n2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800\n2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500\n2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900\n2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500\n2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900\n2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800\n2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700\n2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700\n2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600\n2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500\n2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500\n2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300\n2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900\n2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400\n2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500\n2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700\n2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500\n2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800\n2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000\n2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200\n2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700\n2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600\n2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800\n2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300\n2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100\n2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300\n2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300\n2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800\n2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900\n2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700\n2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500\n2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700\n2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600\n2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200\n2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100\n2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000\n2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400\n2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400\n2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500\n2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800\n2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700\n2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200\n2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600\n2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200\n2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400\n2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200\n2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900\n2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500\n2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100\n2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400\n2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800\n2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300\n2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900\n2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200\n2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500\n2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100\n2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600\n2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100\n2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300\n2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900\n2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400\n2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500\n2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200\n2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100\n2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800\n2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200\n2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300\n2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400\n2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200\n2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800\n2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000\n2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800\n2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000\n2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200\n2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400\n2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400\n2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600\n2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100\n2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000\n2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400\n2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700\n2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900\n2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000\n2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400\n2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300\n2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900\n2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000\n2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000\n2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300\n2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500\n2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900\n2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100\n2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300\n2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500\n2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200\n2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500\n2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400\n2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600\n2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800\n2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600\n2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200\n2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300\n2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300\n2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100\n2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500\n2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800\n2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900\n2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300\n2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200\n2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700\n2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000\n2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100\n2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700\n2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900\n2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900\n2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400\n2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000\n2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100\n2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900\n2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200\n2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300\n2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100\n2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700\n2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600\n2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300\n2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800\n2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700\n2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300\n2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000\n2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300\n2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100\n2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100\n2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900\n2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300\n2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200\n2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900\n2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700\n2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800\n2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200\n2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200\n2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100\n2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700\n2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200\n2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700\n2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200\n2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900\n2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500\n2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600\n2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700\n2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700\n2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300\n2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400\n2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000\n2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800\n2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500\n2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200\n2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200\n2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300\n2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500\n2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300\n2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500\n2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500\n2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600\n2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200\n2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500\n2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600\n2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100\n2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100\n2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900\n2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600\n2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400\n2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800\n2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200\n2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400\n2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900\n2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900\n2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100\n2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500\n2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100\n2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700\n2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200\n2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400\n2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400\n2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700\n2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500\n2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900\n2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400\n2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600\n2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000\n2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500\n2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500\n2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000\n2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300\n2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300\n2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400\n2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900\n2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300\n2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600\n2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400\n2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800\n2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300\n2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900\n2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900\n2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000\n2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400\n2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700\n2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200\n2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900\n2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800\n2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100\n2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000\n2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500\n2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000\n2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000\n2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100\n2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200\n2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800\n2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700\n2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600\n2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600\n2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200\n2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600\n2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300\n2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000\n2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000\n2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400\n2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900\n2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100\n2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600\n2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000\n2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800\n2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100\n2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100\n2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200\n2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800\n2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100\n2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700\n2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400\n2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600\n2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400\n2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400\n2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500\n2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600\n2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600\n2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000\n2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600\n2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500\n2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500\n2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000\n2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000\n2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900\n2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200\n2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700\n2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600\n2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400\n2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400\n2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800\n2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900\n2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600\n2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900\n2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300\n2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700\n2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200\n2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800\n2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000\n2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700\n2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500\n2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900\n2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300\n2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200\n2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900\n2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900\n2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600\n2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000\n2006-01-03,39.689999,41.220001,38.790001,40.910000,40.910000,24227700\n2006-01-04,41.220001,41.900002,40.770000,40.970001,40.970001,20549000\n2006-01-05,40.930000,41.730000,40.849998,41.529999,41.529999,12829100\n2006-01-06,42.880001,43.570000,42.799999,43.209999,43.209999,29418400\n2006-01-09,43.099998,43.660000,42.820000,43.419998,43.419998,16266900\n2006-01-10,42.959999,43.340000,42.340000,42.980000,42.980000,16287200\n2006-01-11,42.189999,42.310001,41.720001,41.869999,41.869999,26191400\n2006-01-12,41.919998,41.990002,40.759998,40.889999,40.889999,18921700\n2006-01-13,41.000000,41.080002,39.619999,39.900002,39.900002,30960800\n2006-01-17,39.090000,40.389999,38.959999,40.110001,40.110001,41797000\n2006-01-18,35.009998,36.160000,34.740002,35.180000,35.180000,118556100\n2006-01-19,35.820000,35.840000,34.240002,34.330002,34.330002,60913000\n2006-01-20,34.439999,34.660000,33.209999,33.740002,33.740002,57644600\n2006-01-23,34.220001,34.400002,33.980000,34.169998,34.169998,30887600\n2006-01-24,34.549999,35.200001,34.509998,34.869999,34.869999,31667800\n2006-01-25,35.430000,35.480000,34.380001,34.490002,34.490002,23779200\n2006-01-26,34.939999,35.250000,34.490002,35.169998,35.169998,28471400\n2006-01-27,35.259998,35.270000,34.660000,35.090000,35.090000,24317400\n2006-01-30,35.090000,35.230000,34.880001,35.049999,35.049999,29030600\n2006-01-31,35.200001,35.200001,34.310001,34.380001,34.380001,36538000\n2006-02-01,34.450001,35.000000,34.349998,35.000000,35.000000,43600400\n2006-02-02,35.009998,35.099998,34.099998,34.250000,34.250000,18323500\n2006-02-03,34.000000,34.049999,33.259998,33.540001,33.540001,32639600\n2006-02-06,33.900002,33.950001,32.779999,32.919998,32.919998,23523100\n2006-02-07,33.009998,33.099998,32.320000,33.020000,33.020000,37236800\n2006-02-08,33.240002,33.400002,32.509998,33.000000,33.000000,28112900\n2006-02-09,33.009998,33.360001,32.400002,32.500000,32.500000,25335200\n2006-02-10,32.580002,32.599998,32.099998,32.509998,32.509998,19628600\n2006-02-13,32.209999,32.439999,31.700001,32.040001,32.040001,26139300\n2006-02-14,32.139999,32.830002,32.049999,32.720001,32.720001,26198600\n2006-02-15,32.619999,33.330002,32.549999,33.020000,33.020000,19542100\n2006-02-16,33.299999,33.400002,32.599998,32.750000,32.750000,19500100\n2006-02-17,32.880001,33.139999,32.709999,32.759998,32.759998,12620200\n2006-02-21,32.900002,33.070000,32.380001,32.389999,32.389999,14328100\n2006-02-22,32.490002,33.340000,32.400002,33.160000,33.160000,18433500\n2006-02-23,33.009998,33.660000,32.880001,33.150002,33.150002,14947600\n2006-02-24,33.200001,33.340000,32.919998,33.009998,33.009998,10136400\n2006-02-27,33.110001,33.209999,32.570000,32.740002,32.740002,11821900\n2006-02-28,32.630001,32.980000,31.340000,32.060001,32.060001,39926200\n2006-03-01,32.209999,32.419998,31.719999,32.180000,32.180000,18466100\n2006-03-02,32.009998,32.110001,31.580000,31.700001,31.700001,23487300\n2006-03-03,31.700001,32.070000,31.379999,31.450001,31.450001,23196000\n2006-03-06,31.530001,31.940001,31.450001,31.570000,31.570000,17211200\n2006-03-07,31.420000,32.200001,31.309999,31.430000,31.430000,23365100\n2006-03-08,31.309999,31.549999,30.820000,30.990000,30.990000,20910200\n2006-03-09,31.049999,31.320000,30.250000,30.280001,30.280001,18277000\n2006-03-10,30.400000,31.100000,29.750000,30.580000,30.580000,28991400\n2006-03-13,30.719999,30.969999,30.120001,30.150000,30.150000,18437700\n2006-03-14,30.100000,31.000000,30.100000,30.990000,30.990000,19294700\n2006-03-15,31.250000,31.280001,30.469999,30.530001,30.530001,20758000\n2006-03-16,30.770000,30.879999,30.100000,30.129999,30.129999,17108000\n2006-03-17,30.350000,30.360001,29.830000,30.070000,30.070000,23629700\n2006-03-20,30.379999,30.930000,30.200001,30.440001,30.440001,21455200\n2006-03-21,30.110001,30.780001,30.020000,30.110001,30.110001,18876400\n2006-03-22,30.330000,30.910000,30.309999,30.750000,30.750000,23147400\n2006-03-23,31.520000,31.950001,31.480000,31.830000,31.830000,33834000\n2006-03-24,32.279999,32.310001,31.530001,31.770000,31.770000,17816500\n2006-03-27,31.840000,32.080002,31.299999,31.450001,31.450001,14858500\n2006-03-28,31.450001,32.500000,31.410000,32.389999,32.389999,25981500\n2006-03-29,32.439999,32.910000,32.139999,32.560001,32.560001,25508200\n2006-03-30,32.750000,32.830002,32.090000,32.419998,32.419998,14314000\n2006-03-31,32.450001,32.630001,32.009998,32.259998,32.259998,12677300\n2006-04-03,32.410000,32.529999,31.790001,31.889999,31.889999,14887900\n2006-04-04,31.690001,32.250000,31.660000,32.099998,32.099998,16232700\n2006-04-05,32.299999,32.500000,31.959999,32.110001,32.110001,11982500\n2006-04-06,32.119999,33.139999,32.110001,32.790001,32.790001,21572600\n2006-04-07,32.849998,32.970001,32.209999,32.270000,32.270000,12980200\n2006-04-10,32.279999,32.630001,32.119999,32.549999,32.549999,9618000\n2006-04-11,32.450001,32.599998,31.150000,31.389999,31.389999,22105600\n2006-04-12,31.440001,31.500000,30.889999,31.100000,31.100000,14926900\n2006-04-13,31.139999,31.400000,30.850000,31.129999,31.129999,15609800\n2006-04-17,31.160000,31.790001,30.660000,30.969999,30.969999,18239900\n2006-04-18,31.170000,31.379999,30.530001,31.299999,31.299999,38604500\n2006-04-19,33.470001,33.980000,32.759998,33.540001,33.540001,77253600\n2006-04-20,33.480000,33.700001,32.930000,33.369999,33.369999,23403900\n2006-04-21,33.360001,34.090000,32.700001,32.889999,32.889999,25215000\n2006-04-24,33.009998,33.450001,32.900002,33.009998,33.009998,15441600\n2006-04-25,32.990002,33.060001,31.879999,31.990000,31.990000,22363200\n2006-04-26,32.299999,33.090000,32.099998,33.000000,33.000000,24426400\n2006-04-27,32.790001,33.500000,32.400002,33.200001,33.200001,19635700\n2006-04-28,32.880001,33.450001,32.779999,32.779999,32.779999,13283500\n2006-05-01,32.990002,33.099998,31.860001,32.080002,32.080002,19752200\n2006-05-02,32.200001,32.910000,31.719999,31.850000,31.850000,16276000\n2006-05-03,32.400002,33.000000,31.750000,32.169998,32.169998,23292600\n2006-05-04,32.400002,32.560001,32.080002,32.189999,32.189999,10402300\n2006-05-05,32.630001,32.750000,32.220001,32.660000,32.660000,14689200\n2006-05-08,33.090000,33.430000,32.630001,32.869999,32.869999,18188200\n2006-05-09,32.680000,34.000000,32.349998,32.490002,32.490002,13396400\n2006-05-10,32.480000,32.560001,32.000000,32.090000,32.090000,13797500\n2006-05-11,31.959999,32.169998,30.870001,30.990000,30.990000,24277000\n2006-05-12,30.709999,31.180000,30.379999,30.809999,30.809999,16745600\n2006-05-15,30.850000,31.250000,30.600000,31.030001,31.030001,13350700\n2006-05-16,31.100000,31.219999,30.629999,30.969999,30.969999,15333700\n2006-05-17,30.610001,31.260000,30.040001,30.110001,30.110001,39847500\n2006-05-18,30.100000,30.360001,28.930000,29.000000,29.000000,38254000\n2006-05-19,29.049999,29.750000,28.600000,29.530001,29.530001,33121900\n2006-05-22,30.420000,30.980000,29.889999,30.459999,30.459999,35089300\n2006-05-23,31.040001,31.629999,30.760000,30.760000,30.760000,28583400\n2006-05-24,30.950001,32.020000,30.709999,31.790001,31.790001,27286300\n2006-05-25,32.939999,33.500000,32.500000,32.919998,32.919998,34732700\n2006-05-26,32.860001,33.020000,32.349998,33.020000,33.020000,13842600\n2006-05-30,32.730000,32.889999,31.790001,32.000000,32.000000,16247600\n2006-05-31,32.189999,32.320000,31.110001,31.590000,31.590000,21306700\n2006-06-01,31.830000,32.000000,31.490000,31.990000,31.990000,16652400\n2006-06-02,32.110001,32.189999,31.299999,31.520000,31.520000,16470900\n2006-06-05,31.190001,31.430000,30.790001,30.820000,30.820000,17188500\n2006-06-06,30.830000,30.969999,30.350000,30.700001,30.700001,15615600\n2006-06-07,30.799999,31.250000,30.360001,30.540001,30.540001,17470100\n2006-06-08,30.430000,30.990000,29.830000,30.450001,30.450001,20538600\n2006-06-09,30.700001,30.799999,30.230000,30.370001,30.370001,10044700\n2006-06-12,30.370001,30.650000,29.660000,29.780001,29.780001,14344600\n2006-06-13,29.770000,30.200001,29.510000,29.650000,29.650000,16435700\n2006-06-14,29.809999,30.000000,29.250000,29.620001,29.620001,19257500\n2006-06-15,29.980000,30.959999,29.719999,30.790001,30.790001,22375000\n2006-06-16,30.700001,30.860001,30.150000,30.360001,30.360001,12951700\n2006-06-19,30.510000,30.750000,30.059999,30.350000,30.350000,12236700\n2006-06-20,30.420000,30.650000,30.100000,30.600000,30.600000,12613200\n2006-06-21,30.770000,31.540001,30.650000,31.059999,31.059999,18252900\n2006-06-22,30.850000,31.160000,30.440001,30.680000,30.680000,11500300\n2006-06-23,31.080000,31.760000,30.820000,31.370001,31.370001,17378500\n2006-06-26,31.450001,31.700001,31.160000,31.549999,31.549999,11457000\n2006-06-27,31.850000,32.220001,31.320000,31.510000,31.510000,16589400\n2006-06-28,31.750000,32.169998,31.700001,31.920000,31.920000,14032800\n2006-06-29,32.259998,33.000000,32.200001,32.970001,32.970001,15745900\n2006-06-30,33.009998,33.119999,32.540001,33.000000,33.000000,22566600\n2006-07-03,32.900002,33.439999,32.900002,33.299999,33.299999,8067100\n2006-07-05,32.849998,32.990002,32.330002,32.470001,32.470001,13453900\n2006-07-06,32.770000,33.220001,32.700001,33.110001,33.110001,13801500\n2006-07-07,32.939999,33.049999,32.369999,32.500000,32.500000,12372500\n2006-07-10,32.910000,33.139999,32.730000,32.849998,32.849998,15317600\n2006-07-11,32.790001,33.349998,32.320000,33.169998,33.169998,11285900\n2006-07-12,33.029999,33.740002,32.990002,33.380001,33.380001,18708400\n2006-07-13,32.849998,33.160000,32.070000,32.230000,32.230000,19463500\n2006-07-14,32.340000,32.480000,31.850000,32.080002,32.080002,12484700\n2006-07-17,31.980000,32.400002,31.690001,31.840000,31.840000,16369600\n2006-07-18,32.080002,32.259998,31.250000,32.240002,32.240002,39767700\n2006-07-19,26.410000,26.700001,25.040001,25.200001,25.200001,204339000\n2006-07-20,25.549999,26.209999,24.910000,25.270000,25.270000,54659700\n2006-07-21,24.990000,26.059999,24.910000,25.889999,25.889999,36187100\n2006-07-24,26.240000,27.230000,25.889999,26.940001,26.940001,42631300\n2006-07-25,26.750000,27.190001,26.570000,26.950001,26.950001,21388800\n2006-07-26,26.780001,27.510000,26.570000,27.080000,27.080000,20073800\n2006-07-27,27.350000,27.500000,26.639999,26.700001,26.700001,25153000\n2006-07-28,26.900000,27.500000,26.330000,27.469999,27.469999,21584800\n2006-07-31,27.459999,27.549999,26.990000,27.139999,27.139999,16492600\n2006-08-01,27.059999,27.120001,26.740000,26.940001,26.940001,18613100\n2006-08-02,27.010000,27.100000,26.450001,26.629999,26.629999,18116200\n2006-08-03,26.500000,27.049999,26.400000,26.900000,26.900000,15468500\n2006-08-04,27.200001,27.580000,26.830000,26.990000,26.990000,11607900\n2006-08-07,26.920000,27.110001,26.580000,27.080000,27.080000,12847200\n2006-08-08,26.950001,27.700001,26.629999,27.440001,27.440001,19332800\n2006-08-09,27.750000,27.850000,27.000000,27.219999,27.219999,14736100\n2006-08-10,26.950001,27.799999,26.850000,27.490000,27.490000,12597900\n2006-08-11,27.520000,27.719999,27.400000,27.500000,27.500000,9252200\n2006-08-14,27.709999,27.799999,27.000000,27.260000,27.260000,10640100\n2006-08-15,27.580000,28.200001,27.480000,28.170000,28.170000,15298500\n2006-08-16,28.350000,28.459999,27.969999,28.389999,28.389999,12589400\n2006-08-17,28.379999,29.320000,28.340000,28.910000,28.910000,17251600\n2006-08-18,28.900000,29.969999,28.770000,29.780001,29.780001,19611300\n2006-08-21,29.219999,29.520000,28.830000,28.900000,28.900000,11575200\n2006-08-22,28.840000,29.650000,28.799999,29.260000,29.260000,10891800\n2006-08-23,29.340000,29.469999,28.680000,28.700001,28.700001,8837400\n2006-08-24,28.750000,29.129999,28.700001,28.990000,28.990000,8983600\n2006-08-25,28.950001,29.280001,28.740000,28.770000,28.770000,6203800\n2006-08-28,28.750000,29.250000,28.700001,28.910000,28.910000,10404700\n2006-08-29,28.860001,29.010000,28.510000,28.959999,28.959999,9888800\n2006-08-30,29.000000,29.139999,28.709999,29.020000,29.020000,13119300\n2006-08-31,28.990000,29.020000,28.590000,28.830000,28.830000,8879300\n2006-09-01,28.910000,29.530001,28.910000,29.490000,29.490000,11573600\n2006-09-05,29.450001,29.480000,28.950001,29.070000,29.070000,11425600\n2006-09-06,28.940001,29.010000,28.490000,28.500000,28.500000,12800600\n2006-09-07,28.400000,28.510000,27.820000,27.860001,27.860001,18434400\n2006-09-08,28.040001,28.320000,27.969999,28.139999,28.139999,9781800\n2006-09-11,28.049999,28.730000,27.670000,28.610001,28.610001,12936000\n2006-09-12,28.549999,29.219999,28.459999,29.090000,29.090000,10005000\n2006-09-13,29.059999,29.370001,28.799999,29.170000,29.170000,15248400\n2006-09-14,29.100000,29.240000,28.889999,29.030001,29.030001,9565500\n2006-09-15,29.299999,29.570000,29.219999,29.320000,29.320000,19550300\n2006-09-18,29.370001,29.389999,28.580000,29.000000,29.000000,15685000\n2006-09-19,29.090000,29.129999,25.100000,25.750000,25.750000,127718600\n2006-09-20,26.040001,26.090000,25.379999,25.639999,25.639999,55636600\n2006-09-21,25.530001,25.950001,25.209999,25.340000,25.340000,28584500\n2006-09-22,25.340000,25.690001,25.180000,25.520000,25.520000,20667400\n2006-09-25,25.639999,25.870001,25.200001,25.290001,25.290001,19992400\n2006-09-26,25.440001,25.480000,24.809999,25.049999,25.049999,34950100\n2006-09-27,25.000000,25.010000,24.600000,24.650000,24.650000,29835900\n2006-09-28,24.870001,25.500000,24.840000,25.330000,25.330000,35331200\n2006-09-29,25.500000,25.590000,25.240000,25.280001,25.280001,18982600\n2006-10-02,25.450001,25.459999,24.750000,24.879999,24.879999,19641300\n2006-10-03,24.809999,25.000000,24.700001,24.840000,24.840000,21148300\n2006-10-04,24.889999,25.260000,24.740000,25.209999,25.209999,21717900\n2006-10-05,25.160000,25.250000,24.879999,25.180000,25.180000,17634000\n2006-10-06,25.090000,25.500000,25.010000,25.469999,25.469999,20847000\n2006-10-09,25.450001,25.719999,25.000000,25.030001,25.030001,15729500\n2006-10-10,24.940001,25.030001,24.320000,24.469999,24.469999,30371900\n2006-10-11,24.290001,24.639999,23.799999,24.240000,24.240000,39356300\n2006-10-12,24.320000,24.379999,24.100000,24.120001,24.120001,25824500\n2006-10-13,23.900000,24.500000,23.570000,24.420000,24.420000,51338900\n2006-10-16,24.340000,24.520000,23.750000,24.180000,24.180000,36496400\n2006-10-17,23.740000,24.350000,23.680000,24.150000,24.150000,67417200\n2006-10-18,24.570000,24.750000,22.879999,22.990000,22.990000,111660900\n2006-10-19,23.020000,23.590000,23.000000,23.139999,23.139999,42280400\n2006-10-20,23.219999,23.270000,22.650000,23.209999,23.209999,49795600\n2006-10-23,23.139999,23.500000,23.100000,23.370001,23.370001,26301200\n2006-10-24,23.350000,23.639999,23.150000,23.530001,23.530001,31704000\n2006-10-25,23.730000,24.639999,23.690001,24.490000,24.490000,40110600\n2006-10-26,24.700001,25.330000,24.360001,25.280001,25.280001,38435800\n2006-10-27,25.230000,25.600000,24.900000,25.340000,25.340000,29647200\n2006-10-30,25.870001,26.400000,25.660000,25.950001,25.950001,35295800\n2006-10-31,26.440001,26.700001,26.100000,26.340000,26.340000,33492800\n2006-11-01,26.500000,26.620001,25.820000,25.990000,25.990000,26300200\n2006-11-02,25.940001,26.600000,25.770000,26.530001,26.530001,34824500\n2006-11-03,26.629999,26.700001,26.040001,26.180000,26.180000,15313800\n2006-11-06,26.340000,26.700001,26.100000,26.590000,26.590000,22563600\n2006-11-07,26.690001,27.150000,26.580000,26.610001,26.610001,28442700\n2006-11-08,26.360001,27.250000,26.309999,26.900000,26.900000,23384800\n2006-11-09,27.180000,27.650000,26.959999,27.450001,27.450001,27428600\n2006-11-10,27.400000,27.500000,27.030001,27.389999,27.389999,21366600\n2006-11-13,27.170000,27.620001,27.150000,27.400000,27.400000,16876500\n2006-11-14,27.400000,27.500000,27.110001,27.240000,27.240000,20145700\n2006-11-15,27.180000,27.500000,27.030001,27.150000,27.150000,22112700\n2006-11-16,27.309999,27.330000,26.200001,26.639999,26.639999,38508500\n2006-11-17,26.680000,27.049999,26.629999,26.910000,26.910000,17955200\n2006-11-20,26.959999,27.040001,26.629999,26.719999,26.719999,20272000\n2006-11-21,26.500000,27.340000,26.500000,27.139999,27.139999,21138300\n2006-11-22,27.510000,28.559999,27.290001,28.490000,28.490000,32055800\n2006-11-24,28.219999,28.490000,27.700001,28.030001,28.030001,9384400\n2006-11-27,27.500000,28.500000,27.170000,27.270000,27.270000,19922300\n2006-11-28,27.030001,27.240000,26.850000,27.000000,27.000000,14940800\n2006-11-29,27.400000,27.400000,26.709999,27.040001,27.040001,19375100\n2006-11-30,27.000000,27.150000,26.730000,27.010000,27.010000,14916300\n2006-12-01,27.000000,27.250000,26.000000,26.490000,26.490000,20055800\n2006-12-04,26.490000,27.299999,26.490000,26.889999,26.889999,28012700\n2006-12-05,26.870001,27.610001,26.860001,27.430000,27.430000,27118200\n2006-12-06,27.250000,27.450001,26.600000,26.860001,26.860001,35202800\n2006-12-07,26.950001,27.160000,26.600000,26.629999,26.629999,22407000\n2006-12-08,26.650000,26.780001,26.270000,26.340000,26.340000,19262200\n2006-12-11,26.370001,26.700001,26.120001,26.490000,26.490000,12916900\n2006-12-12,26.629999,27.379999,26.600000,26.750000,26.750000,31971600\n2006-12-13,27.049999,27.230000,26.510000,26.600000,26.600000,20428600\n2006-12-14,26.629999,26.969999,26.500000,26.870001,26.870001,14400300\n2006-12-15,27.000000,27.219999,26.760000,26.900000,26.900000,27227300\n2006-12-18,26.889999,26.969999,26.070000,26.299999,26.299999,19431200\n2006-12-19,26.049999,26.500000,25.910000,26.410000,26.410000,18973800\n2006-12-20,26.240000,26.309999,25.540001,25.590000,25.590000,24905600\n2006-12-21,25.709999,25.750000,25.129999,25.480000,25.480000,27050600\n2006-12-22,25.670000,25.879999,25.450001,25.549999,25.549999,14666100\n2006-12-26,25.490000,25.610001,25.340000,25.450001,25.450001,8400500\n2006-12-27,25.469999,25.879999,25.450001,25.750000,25.750000,12421800\n2006-12-28,25.620001,25.719999,25.299999,25.360001,25.360001,11908400\n2006-12-29,25.420000,25.820000,25.330000,25.540001,25.540001,16297800\n2007-01-03,25.850000,26.260000,25.260000,25.610001,25.610001,26352700\n2007-01-04,25.639999,26.920000,25.520000,26.850000,26.850000,32512200\n2007-01-05,26.700001,27.870001,26.660000,27.740000,27.740000,64264600\n2007-01-08,27.700001,28.040001,27.430000,27.920000,27.920000,25713700\n2007-01-09,28.000000,28.049999,27.410000,27.580000,27.580000,25621500\n2007-01-10,27.480000,28.920000,27.440001,28.700001,28.700001,40240000\n2007-01-11,28.760000,29.370001,28.700001,29.200001,29.200001,28457500\n2007-01-12,28.980000,29.500000,28.490000,29.450001,29.450001,20971100\n2007-01-16,29.879999,29.879999,28.790001,29.290001,29.290001,24448400\n2007-01-17,29.400000,29.400000,28.809999,29.049999,29.049999,17796100\n2007-01-18,28.920000,28.990000,27.820000,28.120001,28.120001,23869400\n2007-01-19,27.930000,28.340000,27.549999,27.639999,27.639999,24757700\n2007-01-22,27.850000,27.900000,27.180000,27.420000,27.420000,23199800\n2007-01-23,27.420000,27.540001,26.879999,26.959999,26.959999,43728100\n2007-01-24,28.340000,29.200001,28.219999,28.940001,28.940001,81017500\n2007-01-25,28.680000,29.049999,28.129999,28.209999,28.209999,28356200\n2007-01-26,28.330000,28.520000,27.959999,28.040001,28.040001,21334800\n2007-01-29,28.049999,28.209999,27.730000,27.870001,27.870001,16859000\n2007-01-30,27.870001,28.389999,27.610001,28.040001,28.040001,13576600\n2007-01-31,28.040001,28.480000,27.820000,28.309999,28.309999,14100300\n2007-02-01,28.680000,28.709999,28.150000,28.350000,28.350000,17905200\n2007-02-02,28.570000,28.920000,28.450001,28.770000,28.770000,16483100\n2007-02-05,28.670000,28.799999,28.360001,28.559999,28.559999,11163300\n2007-02-06,28.610001,29.559999,28.600000,29.350000,29.350000,24506800\n2007-02-07,29.350000,30.150000,29.120001,29.889999,29.889999,29162600\n2007-02-08,29.750000,30.240000,29.730000,30.080000,30.080000,15561700\n2007-02-09,30.070000,30.160000,29.510000,29.740000,29.740000,18172200\n2007-02-12,29.290001,29.770000,29.049999,29.170000,29.170000,18316200\n2007-02-13,29.370001,29.680000,29.260000,29.559999,29.559999,12802300\n2007-02-14,29.690001,30.860001,29.639999,30.660000,30.660000,30821100\n2007-02-15,30.820000,31.650000,30.690001,31.250000,31.250000,28160300\n2007-02-16,31.000000,32.000000,31.000000,31.910000,31.910000,36774800\n2007-02-20,31.799999,32.209999,31.389999,32.009998,32.009998,20026500\n2007-02-21,31.740000,31.770000,31.219999,31.650000,31.650000,27999200\n2007-02-22,31.600000,32.080002,31.320000,31.600000,31.600000,15485100\n2007-02-23,31.600000,32.180000,31.410000,32.099998,32.099998,21533500\n2007-02-26,32.799999,32.840000,30.850000,32.110001,32.110001,28295200\n2007-02-27,31.379999,31.639999,30.240000,30.950001,30.950001,31505200\n2007-02-28,30.860001,31.469999,30.090000,30.860001,30.860001,30487800\n2007-03-01,30.129999,31.230000,30.000000,30.860001,30.860001,24012900\n2007-03-02,30.540001,30.889999,30.280001,30.420000,30.420000,18136600\n2007-03-05,30.180000,31.900000,30.139999,30.309999,30.309999,21469000\n2007-03-06,30.889999,31.059999,30.520000,30.799999,30.799999,33472600\n2007-03-07,30.950001,31.030001,30.330000,30.389999,30.389999,16014300\n2007-03-08,30.820000,31.040001,30.580000,30.709999,30.709999,13715100\n2007-03-09,29.850000,30.150000,28.790001,29.120001,29.120001,72749900\n2007-03-12,29.299999,30.110001,29.290001,29.990000,29.990000,35991600\n2007-03-13,29.770000,30.240000,29.420000,29.559999,29.559999,18263800\n2007-03-14,29.629999,30.040001,29.260000,29.860001,29.860001,23604900\n2007-03-15,29.809999,30.070000,29.780001,30.059999,30.059999,15440900\n2007-03-16,30.020000,30.110001,29.719999,29.879999,29.879999,19799300\n2007-03-19,30.000000,30.190001,29.920000,30.030001,30.030001,9983800\n2007-03-20,30.000000,30.350000,29.940001,30.330000,30.330000,12203800\n2007-03-21,30.330000,31.389999,30.209999,31.290001,31.290001,26667300\n2007-03-22,31.360001,31.440001,30.850000,31.260000,31.260000,12989800\n2007-03-23,31.330000,31.700001,31.160000,31.360001,31.360001,12727900\n2007-03-26,31.250000,31.740000,31.240000,31.660000,31.660000,12907000\n2007-03-27,31.559999,31.660000,31.240000,31.549999,31.549999,9403100\n2007-03-28,31.450001,31.700001,31.250000,31.410000,31.410000,13162500\n2007-03-29,31.709999,31.730000,30.830000,31.340000,31.340000,13815000\n2007-03-30,31.209999,31.600000,31.020000,31.290001,31.290001,9425000\n2007-04-02,31.219999,31.400000,30.930000,31.280001,31.280001,8668800\n2007-04-03,31.410000,32.000000,31.410000,31.719999,31.719999,12324600\n2007-04-04,31.610001,31.870001,31.480000,31.620001,31.620001,7836200\n2007-04-05,32.000000,32.090000,31.719999,31.959999,31.959999,13878100\n2007-04-09,32.009998,32.240002,31.600000,31.639999,31.639999,12408000\n2007-04-10,31.639999,32.020000,31.600000,31.690001,31.690001,12797600\n2007-04-11,31.650000,31.730000,30.900000,31.170000,31.170000,16141100\n2007-04-12,31.260000,31.420000,31.100000,31.209999,31.209999,13904800\n2007-04-13,31.150000,31.500000,30.959999,31.410000,31.410000,12006300\n2007-04-16,31.680000,31.790001,31.240000,31.610001,31.610001,14359100\n2007-04-17,31.980000,32.139999,31.709999,32.090000,32.090000,43223800\n2007-04-18,28.420000,28.900000,27.889999,28.309999,28.309999,127875300\n2007-04-19,28.100000,28.230000,27.459999,27.510000,27.510000,45664700\n2007-04-20,27.860001,27.860001,27.370001,27.459999,27.459999,39123300\n2007-04-23,27.530001,28.139999,27.370001,27.879999,27.879999,27262400\n2007-04-24,28.030001,28.260000,27.690001,28.020000,28.020000,25964000\n2007-04-25,28.219999,28.270000,27.680000,28.059999,28.059999,35568600\n2007-04-26,27.980000,28.650000,27.730000,28.490000,28.490000,32331000\n2007-04-27,28.350000,28.860001,28.170000,28.340000,28.340000,21097000\n2007-04-30,28.320000,28.500000,28.000000,28.040001,28.040001,17596300\n2007-05-01,28.250000,28.350000,27.530001,27.730000,27.730000,18310900\n2007-05-02,27.719999,28.260000,27.719999,28.120001,28.120001,16911800\n2007-05-03,28.250000,28.500000,28.010000,28.180000,28.180000,20119500\n2007-05-04,33.270000,33.610001,29.580000,30.980000,30.980000,245611400\n2007-05-07,30.129999,30.980000,29.860001,30.379999,30.379999,41243900\n2007-05-08,30.240000,31.100000,30.209999,30.410000,30.410000,28018200\n2007-05-09,30.170000,30.440001,29.950001,30.219999,30.219999,23533100\n2007-05-10,30.520000,30.690001,29.610001,29.700001,29.700001,26570200\n2007-05-11,29.620001,30.080000,29.530001,30.049999,30.049999,13838800\n2007-05-14,29.790001,30.000000,29.080000,29.309999,29.309999,20895900\n2007-05-15,29.160000,29.420000,28.750000,28.809999,28.809999,22226800\n2007-05-16,28.889999,29.370001,28.250000,29.209999,29.209999,32944800\n2007-05-17,28.990000,29.129999,28.490000,28.570000,28.570000,23535000\n2007-05-18,28.900000,29.799999,28.780001,29.750000,29.750000,35487200\n2007-05-21,29.620001,29.860001,29.320000,29.350000,29.350000,18955900\n2007-05-22,29.330000,29.350000,28.780001,28.920000,28.920000,19131300\n2007-05-23,29.100000,29.370001,28.530001,28.610001,28.610001,27964400\n2007-05-24,28.650000,28.879999,28.250000,28.410000,28.410000,19122900\n2007-05-25,28.440001,28.730000,28.340000,28.580000,28.580000,10334600\n2007-05-29,28.360001,28.730000,28.200001,28.400000,28.400000,13981500\n2007-05-30,28.190001,28.379999,28.000000,28.379999,28.379999,16046800\n2007-05-31,28.760000,28.850000,28.490000,28.700001,28.700001,15859100\n2007-06-01,28.900000,29.129999,28.610001,28.780001,28.780001,12398800\n2007-06-04,28.600000,28.780001,28.400000,28.590000,28.590000,13428800\n2007-06-05,28.400000,28.590000,28.100000,28.230000,28.230000,20494800\n2007-06-06,28.049999,28.110001,27.299999,27.440001,27.440001,33508200\n2007-06-07,27.340000,27.730000,26.980000,26.980000,26.980000,34232300\n2007-06-08,27.020000,27.450001,26.959999,27.389999,27.389999,18618500\n2007-06-11,27.270000,27.520000,27.150000,27.350000,27.350000,14856500\n2007-06-12,27.299999,27.660000,26.980000,27.049999,27.049999,22203600\n2007-06-13,27.120001,27.410000,26.610001,27.379999,27.379999,31210700\n2007-06-14,27.379999,27.639999,27.150000,27.299999,27.299999,18919400\n2007-06-15,27.490000,27.520000,27.190001,27.309999,27.309999,23816900\n2007-06-18,27.719999,28.340000,27.500000,28.120001,28.120001,70919400\n2007-06-19,29.400000,29.400000,27.540001,27.629999,27.629999,65967500\n2007-06-20,27.889999,28.170000,27.660000,27.660000,27.660000,33496400\n2007-06-21,27.690001,27.940001,27.549999,27.670000,27.670000,17885800\n2007-06-22,27.680000,27.790001,27.309999,27.379999,27.379999,33796900\n2007-06-25,27.600000,27.770000,27.340000,27.639999,27.639999,21232200\n2007-06-26,27.730000,28.180000,27.360001,27.709999,27.709999,25324000\n2007-06-27,27.510000,27.660000,27.400000,27.580000,27.580000,13997000\n2007-06-28,27.440001,27.490000,27.120001,27.250000,27.250000,17124500\n2007-06-29,27.209999,27.379999,26.930000,27.129999,27.129999,13842500\n2007-07-02,27.190001,27.270000,26.760000,26.860001,26.860001,21011000\n2007-07-03,26.950001,27.250000,26.900000,27.000000,27.000000,11643400\n2007-07-05,26.920000,27.139999,26.900000,26.990000,26.990000,16071900\n2007-07-06,27.010000,27.139999,26.930000,27.100000,27.100000,12284500\n2007-07-09,26.920000,27.330000,26.820000,27.200001,27.200001,17515800\n2007-07-10,27.090000,27.570000,26.959999,26.969999,26.969999,24635500\n2007-07-11,27.030001,27.049999,26.549999,26.690001,26.690001,21970700\n2007-07-12,26.700001,26.969999,26.340000,26.959999,26.959999,20082300\n2007-07-13,26.870001,26.969999,26.500000,26.580000,26.580000,18522700\n2007-07-16,26.480000,26.740000,26.129999,26.700001,26.700001,30804500\n2007-07-17,26.740000,27.799999,26.700001,27.530001,27.530001,53656100\n2007-07-18,26.070000,26.719999,26.020000,26.200001,26.200001,65125900\n2007-07-19,26.320000,26.340000,25.920000,26.030001,26.030001,29537900\n2007-07-20,25.700001,25.889999,25.200001,25.350000,25.350000,38056100\n2007-07-23,25.430000,25.459999,24.980000,24.990000,24.990000,26631500\n2007-07-24,24.799999,25.340000,24.730000,24.840000,24.840000,28981000\n2007-07-25,25.010000,25.320000,24.590000,24.680000,24.680000,21882400\n2007-07-26,24.400000,24.490000,23.620001,24.030001,24.030001,33373300\n2007-07-27,23.980000,24.490000,23.469999,23.490000,23.490000,35783800\n2007-07-30,23.549999,23.879999,23.379999,23.620001,23.620001,20976600\n2007-07-31,23.879999,23.930000,23.240000,23.250000,23.250000,21575800\n2007-08-01,23.170000,23.400000,22.850000,23.250000,23.250000,22030400\n2007-08-02,22.650000,23.700001,22.650000,23.360001,23.360001,21098900\n2007-08-03,23.200001,23.389999,22.870001,22.920000,22.920000,19702100\n2007-08-06,23.030001,23.150000,22.440001,22.969999,22.969999,28948000\n2007-08-07,22.750000,23.700001,22.690001,23.440001,23.440001,20075300\n2007-08-08,23.459999,23.870001,23.430000,23.870001,23.870001,17198000\n2007-08-09,23.670000,24.450001,23.510000,23.799999,23.799999,24052500\n2007-08-10,23.930000,24.219999,23.520000,23.940001,23.940001,22939800\n2007-08-13,24.209999,24.740000,24.010000,24.570000,24.570000,21317600\n2007-08-14,24.690001,24.700001,23.690001,23.719999,23.719999,18707100\n2007-08-15,23.559999,24.000000,23.250000,23.320000,23.320000,18767700\n2007-08-16,23.000000,23.150000,22.500000,22.760000,22.760000,29652200\n2007-08-17,23.260000,23.629999,22.760000,23.540001,23.540001,19528200\n2007-08-20,23.639999,23.740000,23.180000,23.340000,23.340000,13338900\n2007-08-21,23.250000,23.480000,22.910000,23.040001,23.040001,25962900\n2007-08-22,23.219999,23.520000,23.180000,23.230000,23.230000,18763700\n2007-08-23,23.350000,23.360001,22.950001,23.129999,23.129999,15603000\n2007-08-24,23.030001,23.730000,23.030001,23.590000,23.590000,11191100\n2007-08-27,23.590000,23.760000,23.010000,23.030001,23.030001,16523800\n2007-08-28,22.950001,23.100000,22.500000,22.520000,22.520000,18030600\n2007-08-29,22.600000,22.690001,22.270000,22.549999,22.549999,24599900\n2007-08-30,22.490000,22.910000,22.379999,22.610001,22.610001,18172500\n2007-08-31,22.809999,22.830000,22.510000,22.730000,22.730000,13052500\n2007-09-04,23.299999,24.500000,23.200001,23.969999,23.969999,43598600\n2007-09-05,24.100000,24.400000,23.910000,24.100000,24.100000,23071000\n2007-09-06,24.219999,24.320000,23.620001,24.150000,24.150000,13922100\n2007-09-07,23.760000,24.049999,23.600000,23.760000,23.760000,12591900\n2007-09-10,23.850000,23.850000,23.100000,23.299999,23.299999,15246000\n2007-09-11,23.309999,23.840000,23.309999,23.709999,23.709999,17207500\n2007-09-12,23.639999,23.940001,23.530001,23.559999,23.559999,16553700\n2007-09-13,23.600000,23.959999,23.600000,23.719999,23.719999,10309000\n2007-09-14,23.690001,25.000000,23.650000,24.730000,24.730000,28868600\n2007-09-17,24.500000,25.100000,24.379999,24.950001,24.950001,20594000\n2007-09-18,25.059999,25.209999,24.530001,25.059999,25.059999,28121000\n2007-09-19,25.090000,25.370001,24.809999,25.290001,25.290001,25867900\n2007-09-20,25.280001,25.610001,25.160000,25.290001,25.290001,17312000\n2007-09-21,25.540001,26.209999,25.290001,26.049999,26.049999,53074900\n2007-09-24,26.129999,26.400000,25.510000,25.730000,25.730000,27597800\n2007-09-25,25.700001,26.650000,25.629999,26.510000,26.510000,33721300\n2007-09-26,26.700001,27.070000,26.500000,26.700001,26.700001,18692400\n2007-09-27,26.950001,26.950001,26.170000,26.270000,26.270000,21365200\n2007-09-28,26.490000,26.889999,26.200001,26.840000,26.840000,22155600\n2007-10-01,26.760000,27.100000,26.730000,27.040001,27.040001,16938700\n2007-10-02,27.200001,27.240000,26.620001,26.950001,26.950001,15133400\n2007-10-03,27.160000,27.379999,26.820000,27.170000,27.170000,18052500\n2007-10-04,27.190001,27.290001,26.900000,27.150000,27.150000,19203600\n2007-10-05,27.780001,28.160000,27.750000,27.879999,27.879999,28389600\n2007-10-08,28.010000,28.170000,27.750000,28.049999,28.049999,15060700\n2007-10-09,28.350000,28.760000,27.940001,28.370001,28.370001,19539500\n2007-10-10,28.430000,28.700001,27.900000,28.360001,28.360001,14847100\n2007-10-11,28.440001,28.680000,27.500000,27.650000,27.650000,25298300\n2007-10-12,27.760000,28.510000,27.650000,28.480000,28.480000,22130500\n2007-10-15,28.320000,28.400000,27.459999,27.860001,27.860001,22994100\n2007-10-16,27.370001,27.480000,26.549999,26.690001,26.690001,56275300\n2007-10-17,29.100000,29.200001,28.000000,28.820000,28.820000,75067700\n2007-10-18,28.590000,29.600000,28.469999,29.350000,29.350000,28152200\n2007-10-19,29.360001,29.959999,28.850000,29.030001,29.030001,41933000\n2007-10-22,28.930000,30.000000,28.799999,29.850000,29.850000,27750100\n2007-10-23,30.120001,30.879999,30.030001,30.639999,30.639999,45406200\n2007-10-24,30.680000,30.980000,30.000000,30.680000,30.680000,33603100\n2007-10-25,30.750000,31.620001,30.500000,31.340000,31.340000,38706600\n2007-10-26,32.430000,33.990002,31.610001,33.630001,33.630001,66018100\n2007-10-29,34.070000,34.080002,31.180000,31.790001,31.790001,83685800\n2007-10-30,31.549999,31.639999,30.120001,30.830000,30.830000,52417300\n2007-10-31,31.500000,31.750000,30.500000,31.100000,31.100000,34762000\n2007-11-01,30.860001,31.100000,30.040001,30.219999,30.219999,26913300\n2007-11-02,30.540001,31.209999,29.639999,31.110001,31.110001,34090300\n2007-11-05,30.709999,32.369999,30.350000,31.360001,31.360001,43520300\n2007-11-06,31.760000,31.790001,29.000000,29.930000,29.930000,63664400\n2007-11-07,29.270000,29.299999,27.559999,27.629999,27.629999,57069800\n2007-11-08,28.110001,28.240000,25.820000,26.700001,26.700001,58160600\n2007-11-09,26.129999,26.379999,25.400000,25.790001,25.790001,45199700\n2007-11-12,25.799999,26.200001,24.690001,24.780001,24.780001,31264200\n2007-11-13,25.530001,26.240000,25.299999,26.100000,26.100000,34123300\n2007-11-14,26.420000,26.440001,25.000000,25.070000,25.070000,38183700\n2007-11-15,24.940001,25.750000,24.900000,25.420000,25.420000,27920800\n2007-11-16,25.660000,27.129999,25.100000,26.820000,26.820000,53044400\n2007-11-19,27.110001,27.350000,26.350000,26.760000,26.760000,33066200\n2007-11-20,26.930000,27.250000,25.980000,26.719999,26.719999,25672500\n2007-11-21,26.110001,26.580000,25.520000,25.709999,25.709999,23320100\n2007-11-23,25.980000,26.400000,25.760000,26.129999,26.129999,9249400\n2007-11-26,26.080000,26.250000,25.200001,25.219999,25.219999,24174600\n2007-11-27,25.180000,26.000000,25.170000,25.590000,25.590000,19484500\n2007-11-28,26.030001,26.700001,25.930000,26.200001,26.200001,23239300\n2007-11-29,26.010000,26.709999,25.910000,26.629999,26.629999,17929700\n2007-11-30,26.959999,27.330000,26.510000,26.809999,26.809999,23994000\n2007-12-03,26.639999,27.200001,26.559999,26.610001,26.610001,15250100\n2007-12-04,26.139999,26.730000,26.110001,26.420000,26.420000,14668800\n2007-12-05,26.629999,26.730000,25.730000,25.980000,25.980000,21170900\n2007-12-06,25.879999,26.020000,25.389999,25.959999,25.959999,19236500\n2007-12-07,25.860001,26.110001,25.500000,25.629999,25.629999,11443200\n2007-12-10,25.510000,25.570000,24.920000,25.200001,25.200001,26074900\n2007-12-11,25.150000,25.650000,24.360001,24.469999,24.469999,28579100\n2007-12-12,24.820000,25.000000,24.110001,24.540001,24.540001,20241200\n2007-12-13,24.389999,24.750000,24.190001,24.379999,24.379999,23787400\n2007-12-14,24.129999,24.469999,24.000000,24.059999,24.059999,15125500\n2007-12-17,23.799999,24.030001,22.940001,23.040001,23.040001,37877100\n2007-12-18,23.219999,23.350000,22.799999,23.020000,23.020000,27735600\n2007-12-19,22.920000,23.690001,22.920000,23.309999,23.309999,26547300\n2007-12-20,23.500000,23.799999,23.240000,23.639999,23.639999,21030700\n2007-12-21,23.879999,24.100000,23.740000,24.010000,24.010000,24094600\n2007-12-24,24.010000,24.190001,23.940001,24.049999,24.049999,24861800\n2007-12-26,23.850000,24.250000,23.850000,23.959999,23.959999,9821600\n2007-12-27,23.600000,24.150000,23.570000,23.709999,23.709999,16041500\n2007-12-28,23.660000,23.709999,23.209999,23.450001,23.450001,13773000\n2007-12-31,23.219999,23.430000,23.110001,23.260000,23.260000,14782600\n2008-01-02,23.799999,24.150000,23.600000,23.719999,23.719999,25671700\n2008-01-03,23.860001,24.190001,23.700001,23.840000,23.840000,20179700\n2008-01-04,23.809999,23.809999,23.100000,23.160000,23.160000,20745800\n2008-01-07,23.120001,23.559999,22.730000,23.180000,23.180000,24769400\n2008-01-08,23.280001,23.650000,22.500000,22.610001,22.610001,22974000\n2008-01-09,22.469999,22.799999,21.370001,22.559999,22.559999,46662700\n2008-01-10,23.190001,24.570000,22.830000,24.090000,24.090000,52342100\n2008-01-11,23.809999,24.129999,22.980000,23.360001,23.360001,27297400\n2008-01-14,23.510000,23.760000,23.180000,23.700001,23.700001,18552900\n2008-01-15,23.000000,23.490000,22.570000,22.910000,22.910000,31911000\n2008-01-16,22.200001,22.750000,21.730000,21.950001,21.950001,38155300\n2008-01-17,22.000000,22.170000,21.139999,21.219999,21.219999,28812600\n2008-01-18,21.270000,21.610001,20.070000,20.780001,20.780001,41239300\n2008-01-22,19.290001,21.030001,19.260000,19.860001,19.860001,38126200\n2008-01-23,19.250000,20.340000,18.719999,20.010000,20.010000,42064200\n2008-01-24,20.440001,21.750000,20.420000,21.690001,21.690001,39823300\n2008-01-25,22.240000,22.370001,21.320000,21.940001,21.940001,28386800\n2008-01-28,21.559999,21.900000,20.420000,20.780001,20.780001,32473100\n2008-01-29,20.870001,20.900000,20.049999,20.809999,20.809999,79230000\n2008-01-30,18.620001,20.809999,18.580000,19.049999,19.049999,115993300\n2008-01-31,18.870001,19.350000,18.719999,19.180000,19.180000,41449800\n2008-02-01,28.680000,29.830000,27.340000,28.379999,28.379999,438248800\n2008-02-04,28.330000,29.500000,28.330000,29.330000,29.330000,144814000\n2008-02-05,28.780001,29.570000,28.750000,28.980000,28.980000,68583700\n2008-02-06,29.110001,29.330000,28.530001,28.570000,28.570000,55648800\n2008-02-07,28.629999,29.190001,28.600000,29.040001,29.040001,44248800\n2008-02-08,28.980000,29.219999,28.709999,29.200001,29.200001,55618900\n2008-02-11,29.889999,30.049999,29.320000,29.870001,29.870001,67253700\n2008-02-12,29.809999,29.840000,29.400000,29.570000,29.570000,42445600\n2008-02-13,29.780001,30.070000,29.600000,29.879999,29.879999,57047700\n2008-02-14,29.980000,30.250000,29.750000,29.980000,29.980000,38045600\n2008-02-15,29.950001,30.150000,29.430000,29.660000,29.660000,40125200\n2008-02-19,29.340000,29.420000,28.750000,29.010000,29.010000,38679600\n2008-02-20,28.709999,29.040001,28.389999,28.830000,28.830000,29338800\n2008-02-21,28.760000,29.170000,28.250000,28.420000,28.420000,34681900\n2008-02-22,28.360001,28.639999,27.980000,28.420000,28.420000,26157800\n2008-02-25,28.420000,28.570000,27.750000,28.129999,28.129999,32470600\n2008-02-26,27.930000,28.549999,27.809999,28.219999,28.219999,26013000\n2008-02-27,28.330000,28.490000,27.750000,28.370001,28.370001,27664100\n2008-02-28,27.980000,28.820000,27.959999,28.150000,28.150000,30113200\n2008-02-29,27.940001,28.410000,27.500000,27.780001,27.780001,23860500\n2008-03-03,27.730000,28.080000,27.660000,27.770000,27.770000,22765100\n2008-03-04,27.799999,28.070000,27.430000,28.059999,28.059999,28305000\n2008-03-05,28.000000,28.780001,28.000000,28.670000,28.670000,30280100\n2008-03-06,28.639999,28.980000,28.440001,28.700001,28.700001,34591000\n2008-03-07,28.580000,29.180000,28.500000,29.030001,29.030001,28266000\n2008-03-10,28.870001,28.980000,28.510000,28.510000,28.510000,29698500\n2008-03-11,28.910000,29.160000,28.430000,29.000000,29.000000,22077400\n2008-03-12,28.889999,29.020000,28.389999,28.450001,28.450001,18338300\n2008-03-13,28.070000,28.270000,27.379999,27.500000,27.500000,75429000\n2008-03-14,27.850000,27.959999,26.500000,26.709999,26.709999,44386000\n2008-03-17,26.500000,26.639999,25.719999,25.850000,25.850000,33771900\n2008-03-18,26.940001,27.719999,26.250000,27.660000,27.660000,38074400\n2008-03-19,27.559999,27.790001,26.910000,27.070000,27.070000,23317500\n2008-03-20,27.360001,27.910000,26.980000,27.660000,27.660000,29864500\n2008-03-24,27.559999,28.070000,27.450001,27.520000,27.520000,17360800\n2008-03-25,28.139999,28.750000,27.700001,28.730000,28.730000,33759600\n2008-03-26,28.629999,28.780001,28.190001,28.490000,28.490000,15271500\n2008-03-27,28.490000,28.500000,27.900000,28.090000,28.090000,15558400\n2008-03-28,28.320000,29.090000,28.150000,28.990000,28.990000,34274200\n2008-03-31,28.559999,29.120001,28.270000,28.930000,28.930000,17224600\n2008-04-01,28.070000,28.620001,28.020000,28.500000,28.500000,20483600\n2008-04-02,28.570000,28.600000,27.490000,27.820000,27.820000,30180400\n2008-04-03,27.650000,28.219999,27.580000,28.129999,28.129999,14535400\n2008-04-04,28.000000,28.450001,27.590000,28.360001,28.360001,28290700\n2008-04-07,27.799999,28.150000,27.570000,27.700001,27.700001,29455100\n2008-04-08,27.719999,27.820000,27.490000,27.700001,27.700001,17935600\n2008-04-09,27.799999,27.950001,27.129999,27.770000,27.770000,31768300\n2008-04-10,28.389999,28.690001,28.280001,28.590000,28.590000,32671200\n2008-04-11,28.410000,28.610001,28.090000,28.340000,28.340000,18433700\n2008-04-14,28.180000,28.340000,27.790001,27.799999,27.799999,14159500\n2008-04-15,28.049999,28.250000,27.770000,28.170000,28.170000,12096600\n2008-04-16,28.110001,28.400000,28.110001,28.309999,28.309999,9204900\n2008-04-17,28.400000,28.400000,27.959999,28.030001,28.030001,10848800\n2008-04-18,28.440001,28.670000,28.170000,28.430000,28.430000,25292200\n2008-04-21,28.520000,28.680000,28.219999,28.549999,28.549999,18368700\n2008-04-22,28.730000,28.879999,28.440001,28.540001,28.540001,28564000\n2008-04-23,28.240000,28.350000,27.709999,28.080000,28.080000,31134400\n2008-04-24,28.010000,28.080000,27.240000,27.299999,27.299999,25944000\n2008-04-25,26.850000,26.930000,26.080000,26.799999,26.799999,50523100\n2008-04-28,27.000000,27.090000,26.250000,26.430000,26.430000,20869300\n2008-04-29,26.350000,27.480000,25.809999,27.360001,27.360001,36678000\n2008-04-30,27.170000,27.780001,26.760000,27.410000,27.410000,31034100\n2008-05-01,27.690001,28.340000,26.500000,26.809999,26.809999,52071000\n2008-05-02,27.650000,29.730000,27.209999,28.670000,28.670000,80447300\n2008-05-05,23.049999,24.930000,22.969999,24.370001,24.370001,279318400\n2008-05-06,25.540001,26.250000,24.200001,25.719999,25.719999,180100000\n2008-05-07,25.570000,25.709999,25.030001,25.639999,25.639999,84698300\n2008-05-08,25.660000,26.440001,25.510000,26.219999,26.219999,61308600\n2008-05-09,26.010000,26.190001,25.750000,25.930000,25.930000,30686900\n2008-05-12,25.799999,25.879999,25.020000,25.260000,25.260000,41319400\n2008-05-13,25.150000,26.840000,24.389999,26.559999,26.559999,81351200\n2008-05-14,26.950001,27.360001,26.200001,27.139999,27.139999,64571100\n2008-05-15,27.540001,27.980000,26.850000,27.750000,27.750000,79748700\n2008-05-16,27.730000,27.950001,27.410000,27.660000,27.660000,61318300\n2008-05-19,27.900000,28.330000,27.420000,27.680000,27.680000,55348600\n2008-05-20,27.680000,28.200001,27.320000,27.480000,27.480000,29450900\n2008-05-21,27.340000,27.950001,26.799999,27.330000,27.330000,38317200\n2008-05-22,27.299999,27.610001,26.950001,27.530001,27.530001,24737400\n2008-05-23,27.480000,27.740000,27.260000,27.719999,27.719999,24035700\n2008-05-27,27.500000,27.629999,26.980000,27.000000,27.000000,20703900\n2008-05-28,27.420000,27.480000,26.950001,27.160000,27.160000,21785600\n2008-05-29,27.340000,27.360001,27.000000,27.070000,27.070000,17905300\n2008-05-30,27.070000,27.100000,26.629999,26.760000,26.760000,17771800\n2008-06-02,26.799999,26.809999,26.030001,26.400000,26.400000,26379400\n2008-06-03,26.360001,26.600000,25.780001,26.150000,26.150000,25586000\n2008-06-04,26.250000,27.049999,26.160000,26.850000,26.850000,29973600\n2008-06-05,26.459999,26.639999,25.969999,26.360001,26.360001,30167300\n2008-06-06,26.500000,27.080000,26.030001,26.440001,26.440001,37758400\n2008-06-09,26.500000,26.860001,26.100000,26.580000,26.580000,17278300\n2008-06-10,26.320000,26.580000,26.250000,26.400000,26.400000,11854000\n2008-06-11,26.420000,26.459999,26.000000,26.150000,26.150000,13315400\n2008-06-12,26.330000,26.330000,22.500000,23.520000,23.520000,122412100\n2008-06-13,22.820000,23.480000,21.750000,23.469999,23.469999,118467700\n2008-06-16,22.950001,23.580000,22.709999,23.540001,23.540001,44711900\n2008-06-17,23.580000,23.580000,22.900000,23.250000,23.250000,22808800\n2008-06-18,23.219999,23.219999,22.629999,22.910000,22.910000,14255900\n2008-06-19,22.780001,22.870001,22.370001,22.730000,22.730000,19001300\n2008-06-20,22.490000,22.530001,21.900000,21.990000,21.990000,34606900\n2008-06-23,22.070000,22.120001,21.299999,21.450001,21.450001,29819200\n2008-06-24,21.170000,23.709999,20.600000,22.040001,22.040001,85211700\n2008-06-25,22.000000,22.240000,21.860001,22.010000,22.010000,19530900\n2008-06-26,21.590000,21.889999,21.280001,21.370001,21.370001,23993900\n2008-06-27,21.290001,21.459999,20.700001,21.330000,21.330000,30236800\n2008-06-30,21.120001,21.200001,20.600000,20.660000,20.660000,17173500\n2008-07-01,20.480000,20.490000,19.590000,20.200001,20.200001,36634700\n2008-07-02,21.889999,21.900000,20.670000,20.879999,20.879999,58418100\n2008-07-03,21.350000,21.750000,21.030001,21.350000,21.350000,21923800\n2008-07-07,23.400000,24.250000,22.920000,23.910000,23.910000,84245900\n2008-07-08,23.830000,24.660000,23.809999,24.639999,24.639999,34234600\n2008-07-09,24.740000,24.799999,23.820000,23.820000,23.820000,21980400\n2008-07-10,23.760000,24.100000,23.040001,23.500000,23.500000,18501800\n2008-07-11,23.000000,23.889999,22.639999,23.570000,23.570000,23141900\n2008-07-14,23.120001,23.240000,22.219999,22.570000,22.570000,22785000\n2008-07-15,21.790001,22.080000,21.180000,21.540001,21.540001,25740900\n2008-07-16,21.700001,22.600000,21.590000,22.480000,22.480000,20738700\n2008-07-17,23.490000,23.490000,22.410000,22.440001,22.440001,31947900\n2008-07-18,22.549999,22.549999,21.860001,22.450001,22.450001,23375400\n2008-07-21,21.660000,22.190001,21.650000,21.670000,21.670000,24645600\n2008-07-22,21.389999,21.700001,20.850000,21.400000,21.400000,29786500\n2008-07-23,21.910000,22.480000,20.000000,20.389999,20.389999,48279700\n2008-07-24,20.610001,21.059999,20.049999,20.530001,20.530001,24422500\n2008-07-25,20.549999,21.190001,20.280001,21.129999,21.129999,20406200\n2008-07-28,20.990000,21.170000,20.059999,20.120001,20.120001,13733800\n2008-07-29,20.010000,20.340000,19.680000,20.150000,20.150000,17023800\n2008-07-30,20.180000,20.180000,19.959999,20.030001,20.030001,25016800\n2008-07-31,19.889999,20.150000,19.850000,19.889999,19.889999,16621100\n2008-08-01,20.090000,20.120001,19.530001,19.799999,19.799999,19777000\n2008-08-04,19.770000,19.770000,19.209999,19.379999,19.379999,14064400\n2008-08-05,19.700001,19.910000,19.530001,19.820000,19.820000,14415200\n2008-08-06,19.770000,20.180000,19.530001,20.000000,20.000000,14699000\n2008-08-07,19.799999,20.250000,19.639999,20.190001,20.190001,14017500\n2008-08-08,20.190001,20.190001,19.870001,19.900000,19.900000,13640000\n2008-08-11,19.889999,20.280001,19.650000,20.260000,20.260000,12903700\n2008-08-12,20.209999,20.600000,20.040001,20.430000,20.430000,13883700\n2008-08-13,20.330000,20.480000,20.059999,20.360001,20.360001,11954500\n2008-08-14,20.200001,20.570000,20.139999,20.280001,20.280001,11103300\n2008-08-15,20.270000,20.820000,20.270000,20.440001,20.440001,14945100\n2008-08-18,20.469999,20.520000,19.660000,19.730000,19.730000,14867400\n2008-08-19,19.780001,19.910000,19.410000,19.420000,19.420000,12851000\n2008-08-20,19.570000,19.650000,19.100000,19.170000,19.170000,16426500\n2008-08-21,19.059999,19.180000,18.870001,19.110001,19.110001,16995100\n2008-08-22,19.110001,19.680000,19.100000,19.530001,19.530001,11087500\n2008-08-25,19.340000,19.400000,19.049999,19.090000,19.090000,13779300\n2008-08-26,19.120001,19.200001,19.000000,19.090000,19.090000,8770500\n2008-08-27,19.080000,19.450001,18.930000,19.370001,19.370001,9300100\n2008-08-28,19.480000,19.760000,19.379999,19.650000,19.650000,11729500\n2008-08-29,19.540001,19.600000,19.280001,19.379999,19.379999,11204900\n2008-09-02,19.629999,19.770000,18.740000,18.750000,18.750000,16943700\n2008-09-03,18.850000,19.000000,18.700001,18.760000,18.760000,11557100\n2008-09-04,18.709999,18.809999,17.750000,17.750000,17.750000,23892500\n2008-09-05,17.920000,18.340000,17.799999,18.080000,18.080000,17089100\n2008-09-08,18.330000,18.370001,17.870001,18.260000,18.260000,16447400\n2008-09-09,18.139999,18.190001,17.530001,17.580000,17.580000,25271700\n2008-09-10,17.629999,17.790001,17.250000,17.700001,17.700001,19619600\n2008-09-11,17.400000,18.570000,17.330000,18.549999,18.549999,28408000\n2008-09-12,18.430000,19.170000,18.340000,19.080000,19.080000,21301100\n2008-09-15,18.270000,19.139999,18.250000,18.850000,18.850000,32567200\n2008-09-16,18.250000,19.350000,18.240000,19.260000,19.260000,33897000\n2008-09-17,18.969999,19.080000,18.200001,18.820000,18.820000,28819300\n2008-09-18,18.790001,20.820000,18.490000,20.820000,20.820000,37286300\n2008-09-19,20.580000,20.790001,19.270000,19.889999,19.889999,31649100\n2008-09-22,19.600000,19.600000,18.639999,18.680000,18.680000,16911900\n2008-09-23,18.709999,19.129999,18.670000,18.930000,18.930000,20230100\n2008-09-24,18.900000,19.190001,18.820000,19.150000,19.150000,12766200\n2008-09-25,19.090000,19.559999,18.969999,19.200001,19.200001,14512100\n2008-09-26,18.750000,19.250000,18.650000,18.920000,18.920000,14922800\n2008-09-29,18.770000,18.920000,16.879999,16.879999,16.879999,39570300\n2008-09-30,17.150000,17.620001,17.000000,17.299999,17.299999,23672300\n2008-10-01,17.170000,17.309999,16.799999,16.959999,16.959999,13725000\n2008-10-02,16.770000,16.850000,15.540000,15.580000,15.580000,23416200\n2008-10-03,15.810000,16.440001,15.750000,16.000000,16.000000,25824900\n2008-10-06,15.270000,16.070000,14.550000,15.310000,15.310000,42862100\n2008-10-07,15.190000,15.490000,14.530000,14.580000,14.580000,27696400\n2008-10-08,13.800000,14.580000,13.200000,13.760000,13.760000,31651100\n2008-10-09,13.900000,13.900000,12.470000,12.650000,12.650000,40808900\n2008-10-10,12.220000,12.920000,11.960000,12.290000,12.290000,38683200\n2008-10-13,13.140000,13.510000,12.560000,13.490000,13.490000,26049700\n2008-10-14,13.780000,13.930000,12.370000,12.650000,12.650000,26909700\n2008-10-15,12.490000,12.550000,11.750000,11.750000,11.750000,27529900\n2008-10-16,11.900000,13.730000,11.370000,12.990000,12.990000,107674200\n2008-10-17,12.880000,13.500000,12.680000,12.900000,12.900000,38974800\n2008-10-20,13.030000,13.030000,12.330000,12.860000,12.860000,25010600\n2008-10-21,12.620000,12.740000,12.040000,12.070000,12.070000,28385500\n2008-10-22,12.360000,12.840000,12.350000,12.390000,12.390000,35671000\n2008-10-23,12.150000,12.700000,11.550000,12.650000,12.650000,27751300\n2008-10-24,11.310000,12.330000,11.310000,12.100000,12.100000,29718100\n2008-10-27,11.820000,12.190000,11.500000,11.580000,11.580000,16372300\n2008-10-28,11.890000,12.400000,11.250000,12.360000,12.360000,22795700\n2008-10-29,12.200000,12.610000,11.920000,12.140000,12.140000,21443000\n2008-10-30,12.530000,13.180000,12.250000,12.930000,12.930000,26757100\n2008-10-31,13.090000,13.360000,12.710000,12.820000,12.820000,24017600\n2008-11-03,12.740000,12.890000,12.550000,12.750000,12.750000,10385600\n2008-11-04,13.050000,13.490000,12.840000,13.350000,13.350000,24980000\n2008-11-05,13.210000,14.840000,13.150000,13.920000,13.920000,71264100\n2008-11-06,14.840000,14.890000,13.750000,13.960000,13.960000,44431700\n2008-11-07,12.450000,12.500000,11.650000,12.200000,12.200000,47280400\n2008-11-10,12.370000,12.400000,11.570000,11.870000,11.870000,16708100\n2008-11-11,11.560000,11.670000,11.060000,11.350000,11.350000,33294600\n2008-11-12,11.010000,11.340000,10.020000,10.340000,10.340000,29046700\n2008-11-13,10.320000,11.170000,9.760000,11.150000,11.150000,25212700\n2008-11-14,10.840000,11.500000,10.630000,10.820000,10.820000,19072400\n2008-11-17,10.500000,10.940000,10.320000,10.630000,10.630000,14601400\n2008-11-18,11.930000,12.400000,11.000000,11.550000,11.550000,51671000\n2008-11-19,11.540000,11.580000,9.070000,9.140000,9.140000,57680800\n2008-11-20,9.100000,10.010000,8.940000,8.950000,8.950000,37311800\n2008-11-21,9.280000,9.480000,8.950000,9.390000,9.390000,29895300\n2008-11-24,9.560000,10.270000,9.420000,10.210000,10.210000,22452600\n2008-11-25,10.120000,10.200000,9.830000,10.070000,10.070000,16889200\n2008-11-26,9.930000,10.580000,9.920000,10.580000,10.580000,13640000\n2008-11-28,10.760000,11.590000,10.650000,11.510000,11.510000,12397600\n2008-12-01,11.820000,11.980000,10.730000,10.740000,10.740000,26242500\n2008-12-02,10.810000,12.500000,10.500000,11.500000,11.500000,46254900\n2008-12-03,11.120000,11.500000,10.740000,11.500000,11.500000,24094600\n2008-12-04,11.380000,11.480000,10.700000,11.050000,11.050000,18447800\n2008-12-05,10.960000,11.700000,10.620000,11.660000,11.660000,19973900\n2008-12-08,12.170000,12.490000,11.790000,12.200000,12.200000,33782200\n2008-12-09,11.900000,12.540000,11.770000,12.190000,12.190000,28943400\n2008-12-10,12.670000,13.570000,12.350000,13.400000,13.400000,46696000\n2008-12-11,13.160000,13.360000,12.570000,12.730000,12.730000,26528700\n2008-12-12,12.310000,13.230000,12.150000,13.150000,13.150000,24636700\n2008-12-15,13.100000,13.290000,12.550000,12.730000,12.730000,20131100\n2008-12-16,12.880000,13.480000,12.880000,13.360000,13.360000,18544100\n2008-12-17,13.000000,13.430000,12.830000,13.110000,13.110000,12783000\n2008-12-18,13.130000,13.270000,12.700000,12.720000,12.720000,14997900\n2008-12-19,12.920000,13.320000,12.720000,13.030000,13.030000,17551900\n2008-12-22,13.030000,13.080000,12.000000,12.350000,12.350000,12946400\n2008-12-23,12.470000,12.650000,12.250000,12.420000,12.420000,7474700\n2008-12-24,12.410000,12.480000,12.290000,12.320000,12.320000,2500100\n2008-12-26,12.300000,12.380000,12.180000,12.340000,12.340000,3873900\n2008-12-29,12.460000,12.460000,11.450000,11.880000,11.880000,9913500\n2008-12-30,11.910000,12.000000,11.720000,11.970000,11.970000,7480600\n2008-12-31,11.950000,12.300000,11.920000,12.200000,12.200000,9085500\n2009-01-02,12.170000,12.850000,12.120000,12.850000,12.850000,9514600\n2009-01-05,12.720000,13.010000,12.390000,12.860000,12.860000,11989900\n2009-01-06,12.960000,13.240000,12.880000,13.000000,13.000000,10056000\n2009-01-07,12.710000,13.160000,12.450000,12.710000,12.710000,24995900\n2009-01-08,12.370000,13.070000,12.310000,13.070000,13.070000,14355000\n2009-01-09,13.420000,13.560000,12.900000,13.130000,13.130000,19281000\n2009-01-12,13.090000,13.100000,12.080000,12.220000,12.220000,19976900\n2009-01-13,12.090000,12.790000,11.780000,12.100000,12.100000,25720400\n2009-01-14,12.260000,12.530000,11.810000,12.410000,12.410000,23595200\n2009-01-15,12.320000,12.350000,11.220000,11.610000,11.610000,25247500\n2009-01-16,11.870000,11.970000,11.440000,11.590000,11.590000,24783700\n2009-01-20,11.720000,11.800000,11.010000,11.010000,11.010000,18692000\n2009-01-21,11.170000,11.590000,11.080000,11.590000,11.590000,15892200\n2009-01-22,11.350000,11.510000,10.900000,11.280000,11.280000,17201700\n2009-01-23,10.900000,11.550000,10.860000,11.320000,11.320000,15864000\n2009-01-26,11.260000,11.280000,10.810000,11.170000,11.170000,16469800\n2009-01-27,11.200000,11.370000,10.850000,11.340000,11.340000,33708200\n2009-01-28,12.230000,12.380000,11.920000,12.240000,12.240000,35686800\n2009-01-29,12.020000,12.240000,11.730000,11.740000,11.740000,22124100\n2009-01-30,11.860000,12.150000,11.510000,11.730000,11.730000,21508900\n2009-02-02,11.500000,12.320000,11.490000,12.150000,12.150000,21223000\n2009-02-03,12.300000,12.710000,12.010000,12.680000,12.680000,18669700\n2009-02-04,12.670000,13.230000,12.550000,13.000000,13.000000,22933800\n2009-02-05,12.930000,13.520000,12.850000,13.510000,13.510000,17566800\n2009-02-06,13.410000,13.840000,13.200000,13.630000,13.630000,17594600\n2009-02-09,13.590000,14.000000,13.470000,13.900000,13.900000,15686200\n2009-02-10,13.540000,13.900000,12.720000,12.750000,12.750000,24148400\n2009-02-11,12.870000,12.910000,12.380000,12.630000,12.630000,13726600\n2009-02-12,12.500000,12.660000,12.140000,12.660000,12.660000,15452500\n2009-02-13,12.670000,12.990000,12.590000,12.840000,12.840000,11139300\n2009-02-17,12.310000,12.580000,12.010000,12.020000,12.020000,15708400\n2009-02-18,12.120000,12.530000,12.070000,12.220000,12.220000,12434300\n2009-02-19,12.350000,12.590000,11.930000,11.980000,11.980000,12537600\n2009-02-20,11.900000,12.270000,11.750000,12.140000,12.140000,16485500\n2009-02-23,12.200000,12.350000,11.830000,11.970000,11.970000,16517300\n2009-02-24,12.570000,12.860000,12.270000,12.750000,12.750000,22529300\n2009-02-25,12.450000,12.790000,12.300000,12.480000,12.480000,16195700\n2009-02-26,12.880000,13.390000,12.740000,12.980000,12.980000,26571900\n2009-02-27,12.660000,13.330000,12.610000,13.230000,13.230000,20392600\n2009-03-02,12.850000,12.970000,12.470000,12.580000,12.580000,20934900\n2009-03-03,12.790000,12.870000,12.310000,12.500000,12.500000,16509700\n2009-03-04,12.720000,13.490000,12.510000,13.160000,13.160000,24076200\n2009-03-05,12.770000,13.070000,12.480000,12.530000,12.530000,18477000\n2009-03-06,12.600000,13.180000,12.520000,13.050000,13.050000,30994200\n2009-03-09,12.850000,13.450000,12.550000,12.660000,12.660000,23119700\n2009-03-10,12.810000,13.400000,12.750000,13.230000,13.230000,22730900\n2009-03-11,13.310000,13.500000,13.030000,13.390000,13.390000,17505000\n2009-03-12,13.350000,13.600000,13.100000,13.600000,13.600000,16682500\n2009-03-13,13.580000,13.640000,13.270000,13.510000,13.510000,12522600\n2009-03-16,13.660000,13.660000,13.200000,13.220000,13.220000,19448800\n2009-03-17,13.350000,14.040000,13.220000,13.990000,13.990000,16719400\n2009-03-18,13.810000,13.950000,13.230000,13.420000,13.420000,26324300\n2009-03-19,13.680000,14.140000,13.610000,13.740000,13.740000,25954300\n2009-03-20,13.630000,13.870000,13.510000,13.600000,13.600000,22079300\n2009-03-23,13.790000,14.120000,13.620000,14.090000,14.090000,18200000\n2009-03-24,13.980000,14.020000,13.560000,13.630000,13.630000,17293600\n2009-03-25,13.690000,13.880000,13.350000,13.550000,13.550000,16746400\n2009-03-26,13.550000,13.610000,13.000000,13.350000,13.350000,24223400\n2009-03-27,13.170000,13.610000,13.120000,13.180000,13.180000,22426200\n2009-03-30,12.930000,13.140000,12.510000,12.700000,12.700000,16558800\n2009-03-31,12.760000,13.100000,12.670000,12.810000,12.810000,12066000\n2009-04-01,12.700000,13.120000,12.600000,12.750000,12.750000,14540400\n2009-04-02,13.040000,13.140000,12.800000,12.950000,12.950000,28823100\n2009-04-03,12.950000,13.390000,12.780000,13.340000,13.340000,18534900\n2009-04-06,13.080000,13.240000,12.990000,13.230000,13.230000,11935700\n2009-04-07,13.000000,13.100000,12.680000,12.810000,12.810000,12306400\n2009-04-08,12.900000,13.010000,12.750000,12.920000,12.920000,11241000\n2009-04-09,13.140000,13.590000,13.070000,13.470000,13.470000,17285800\n2009-04-13,14.020000,14.540000,13.860000,14.420000,14.420000,35067600\n2009-04-14,14.400000,14.420000,14.000000,14.070000,14.070000,15151700\n2009-04-15,13.930000,14.090000,13.770000,14.020000,14.020000,12383200\n2009-04-16,14.150000,14.530000,14.050000,14.430000,14.430000,19156500\n2009-04-17,14.430000,14.520000,14.030000,14.390000,14.390000,19800400\n2009-04-20,14.160000,14.250000,13.600000,13.660000,13.660000,13470500\n2009-04-21,13.940000,14.590000,13.710000,14.380000,14.380000,54237700\n2009-04-22,14.620000,15.390000,14.410000,14.480000,14.480000,65407800\n2009-04-23,14.560000,14.740000,14.110000,14.550000,14.550000,32943200\n2009-04-24,14.790000,14.940000,14.360000,14.730000,14.730000,25803000\n2009-04-27,14.480000,14.550000,13.880000,13.890000,13.890000,22640600\n2009-04-28,13.740000,14.050000,13.600000,13.640000,13.640000,18856500\n2009-04-29,13.700000,14.350000,13.700000,14.020000,14.020000,16570900\n2009-04-30,14.120000,14.600000,14.120000,14.290000,14.290000,25883300\n2009-05-01,14.500000,14.500000,13.910000,14.140000,14.140000,23721700\n2009-05-04,14.200000,14.250000,13.960000,14.180000,14.180000,25094600\n2009-05-05,14.550000,14.990000,14.180000,14.740000,14.740000,35233200\n2009-05-06,14.800000,15.000000,14.520000,14.850000,14.850000,19105800\n2009-05-07,15.030000,15.100000,14.380000,14.800000,14.800000,24328500\n2009-05-08,14.880000,15.300000,14.700000,15.150000,15.150000,22461200\n2009-05-11,14.900000,15.830000,14.810000,15.540000,15.540000,39492400\n2009-05-12,15.500000,15.500000,14.900000,15.100000,15.100000,31403300\n2009-05-13,14.920000,14.950000,14.500000,14.520000,14.520000,23585400\n2009-05-14,14.500000,14.860000,14.400000,14.760000,14.760000,20841800\n2009-05-15,15.000000,15.100000,14.860000,14.910000,14.910000,22525900\n2009-05-18,15.100000,15.180000,14.740000,15.170000,15.170000,18629500\n2009-05-19,15.060000,15.340000,15.020000,15.180000,15.180000,13676000\n2009-05-20,15.080000,15.310000,14.800000,14.960000,14.960000,15781600\n2009-05-21,14.920000,15.120000,14.620000,14.870000,14.870000,15186800\n2009-05-22,14.890000,15.170000,14.750000,14.980000,14.980000,19150500\n2009-05-26,14.680000,15.440000,14.670000,15.280000,15.280000,19953000\n2009-05-27,15.270000,15.530000,14.880000,14.940000,14.940000,18977400\n2009-05-28,15.090000,15.240000,14.690000,15.090000,15.090000,19131600\n2009-05-29,15.190000,15.840000,15.110000,15.840000,15.840000,29557500\n2009-06-01,16.170000,16.650000,16.129999,16.580000,16.580000,27926100\n2009-06-02,16.600000,16.750000,16.250000,16.620001,16.620001,15286700\n2009-06-03,16.500000,16.500000,15.670000,16.299999,16.299999,26358100\n2009-06-04,16.400000,16.709999,16.040001,16.650000,16.650000,19001400\n2009-06-05,16.770000,16.990000,16.299999,16.639999,16.639999,17311400\n2009-06-08,16.469999,16.490000,16.040001,16.190001,16.190001,13692600\n2009-06-09,16.230000,16.500000,16.180000,16.400000,16.400000,13083200\n2009-06-10,16.700001,16.719999,16.100000,16.320000,16.320000,15771200\n2009-06-11,16.260000,16.459999,16.150000,16.190001,16.190001,15042300\n2009-06-12,16.170000,16.469999,16.100000,16.400000,16.400000,16962900\n2009-06-15,16.559999,16.680000,16.129999,16.400000,16.400000,23251700\n2009-06-16,16.330000,16.379999,15.900000,15.960000,15.960000,15116000\n2009-06-17,15.910000,16.030001,15.460000,15.600000,15.600000,16521300\n2009-06-18,15.620000,15.640000,15.230000,15.340000,15.340000,16185400\n2009-06-19,15.500000,15.840000,15.400000,15.800000,15.800000,20323100\n2009-06-22,15.550000,15.610000,14.710000,14.710000,14.710000,26488700\n2009-06-23,14.750000,14.900000,14.550000,14.680000,14.680000,15866300\n2009-06-24,14.760000,15.600000,14.760000,15.450000,15.450000,30979700\n2009-06-25,15.440000,15.670000,15.250000,15.530000,15.530000,19827800\n2009-06-26,15.600000,15.800000,15.480000,15.740000,15.740000,26449100\n2009-06-29,15.860000,16.010000,15.600000,15.900000,15.900000,12324000\n2009-06-30,15.850000,15.900000,15.350000,15.660000,15.660000,16033900\n2009-07-01,15.490000,15.690000,15.350000,15.410000,15.410000,12716100\n2009-07-02,15.240000,15.280000,14.880000,14.990000,14.990000,16919900\n2009-07-06,14.830000,14.930000,14.550000,14.910000,14.910000,13690700\n2009-07-07,14.920000,14.930000,14.360000,14.440000,14.440000,22021700\n2009-07-08,14.440000,14.690000,14.220000,14.380000,14.380000,15352700\n2009-07-09,14.480000,14.680000,14.250000,14.550000,14.550000,15598200\n2009-07-10,14.780000,15.180000,14.750000,14.930000,14.930000,23061200\n2009-07-13,14.950000,15.060000,14.640000,15.010000,15.010000,13174400\n2009-07-14,15.070000,15.220000,14.980000,15.180000,15.180000,13039500\n2009-07-15,15.230000,15.740000,15.150000,15.710000,15.710000,18813600\n2009-07-16,15.800000,16.250000,15.780000,16.190001,16.190001,21919500\n2009-07-17,16.750000,16.910000,16.450001,16.840000,16.840000,32514700\n2009-07-20,17.180000,17.430000,16.650000,17.010000,17.010000,27760800\n2009-07-21,17.049999,17.110001,16.440001,16.750000,16.750000,33601800\n2009-07-22,16.190001,17.480000,16.120001,17.370001,17.370001,53615500\n2009-07-23,17.410000,17.680000,17.160000,17.360001,17.360001,37524900\n2009-07-24,17.430000,17.590000,17.020000,17.480000,17.480000,19944700\n2009-07-27,17.370001,17.480000,16.850000,17.000000,17.000000,19951800\n2009-07-28,16.969999,17.490000,16.520000,17.219999,17.219999,36152600\n2009-07-29,16.000000,16.200001,15.050000,15.140000,15.140000,126807700\n2009-07-30,15.130000,15.140000,14.240000,14.600000,14.600000,100889000\n2009-07-31,14.720000,14.890000,14.290000,14.320000,14.320000,62659900\n2009-08-03,14.560000,14.620000,14.300000,14.340000,14.340000,43976900\n2009-08-04,14.440000,14.680000,14.370000,14.510000,14.510000,43084800\n2009-08-05,14.760000,14.910000,14.610000,14.670000,14.670000,50910100\n2009-08-06,14.760000,14.860000,14.630000,14.740000,14.740000,35659500\n2009-08-07,14.860000,14.900000,14.560000,14.620000,14.620000,28261000\n2009-08-10,14.660000,14.680000,14.490000,14.630000,14.630000,18350900\n2009-08-11,14.540000,14.650000,14.330000,14.460000,14.460000,17823200\n2009-08-12,14.470000,14.760000,14.410000,14.680000,14.680000,24256200\n2009-08-13,14.740000,15.070000,14.610000,15.040000,15.040000,40193000\n2009-08-14,14.980000,15.140000,14.850000,15.040000,15.040000,28817100\n2009-08-17,14.690000,14.780000,14.510000,14.560000,14.560000,29268300\n2009-08-18,14.640000,14.780000,14.560000,14.750000,14.750000,14797300\n2009-08-19,14.580000,14.910000,14.550000,14.790000,14.790000,15501500\n2009-08-20,14.750000,14.900000,14.700000,14.770000,14.770000,15579900\n2009-08-21,14.880000,14.960000,14.730000,14.790000,14.790000,23537700\n2009-08-24,14.890000,15.190000,14.830000,14.990000,14.990000,26171000\n2009-08-25,15.120000,15.210000,14.940000,15.070000,15.070000,22850600\n2009-08-26,15.090000,15.140000,14.860000,14.930000,14.930000,15845300\n2009-08-27,14.920000,15.000000,14.710000,14.930000,14.930000,30411000\n2009-08-28,14.980000,15.080000,14.800000,14.850000,14.850000,33918200\n2009-08-31,14.740000,14.800000,14.560000,14.610000,14.610000,15420500\n2009-09-01,14.500000,14.680000,14.150000,14.180000,14.180000,30615300\n2009-09-02,14.080000,14.330000,13.970000,14.230000,14.230000,23591500\n2009-09-03,14.360000,14.430000,14.160000,14.280000,14.280000,14661900\n2009-09-04,14.260000,14.640000,14.230000,14.500000,14.500000,17003900\n2009-09-08,14.650000,14.660000,14.370000,14.490000,14.490000,17712200\n2009-09-09,14.450000,14.860000,14.420000,14.780000,14.780000,19096300\n2009-09-10,15.280000,15.630000,15.150000,15.450000,15.450000,49083300\n2009-09-11,15.530000,15.680000,15.410000,15.590000,15.590000,26860700\n2009-09-14,15.450000,15.580000,15.280000,15.570000,15.570000,19451200\n2009-09-15,16.010000,16.490000,15.870000,16.410000,16.410000,64668200\n2009-09-16,16.570000,17.110001,16.520000,16.990000,16.990000,53594700\n2009-09-17,17.000000,17.790001,16.959999,17.500000,17.500000,62010000\n2009-09-18,17.700001,17.700001,16.850000,17.389999,17.389999,86402600\n2009-09-21,17.230000,17.230000,16.959999,17.040001,17.040001,26826900\n2009-09-22,17.170000,17.219999,16.750000,16.860001,16.860001,30588800\n2009-09-23,17.100000,17.600000,16.969999,17.209999,17.209999,36814300\n2009-09-24,17.309999,17.320000,16.650000,16.889999,16.889999,26493700\n2009-09-25,16.799999,17.150000,16.750000,17.080000,17.080000,20701400\n2009-09-28,16.980000,17.469999,16.950001,17.469999,17.469999,26412200\n2009-09-29,17.500000,17.660000,17.209999,17.450001,17.450001,31600100\n2009-09-30,17.480000,17.940001,17.240000,17.809999,17.809999,39878200\n2009-10-01,17.650000,17.719999,17.200001,17.389999,17.389999,24871600\n2009-10-02,17.230000,17.350000,16.780001,16.840000,16.840000,32685300\n2009-10-05,16.850000,17.129999,16.660000,16.799999,16.799999,22224900\n2009-10-06,16.959999,17.350000,16.950001,17.299999,17.299999,21427600\n2009-10-07,17.219999,17.490000,17.150000,17.490000,17.490000,12456700\n2009-10-08,17.629999,17.860001,17.540001,17.580000,17.580000,27966900\n2009-10-09,17.430000,17.480000,16.840000,16.870001,16.870001,29015700\n2009-10-12,16.959999,17.110001,16.660000,16.750000,16.750000,16904700\n2009-10-13,16.950001,17.000000,16.809999,16.879999,16.879999,19492500\n2009-10-14,16.930000,17.030001,16.820000,16.950001,16.950001,17508000\n2009-10-15,16.840000,16.889999,16.459999,16.520000,16.520000,24337300\n2009-10-16,16.610001,16.850000,16.400000,16.809999,16.809999,20479000\n2009-10-19,16.799999,17.290001,16.700001,17.219999,17.219999,17878000\n2009-10-20,17.370001,17.410000,16.870001,17.170000,17.170000,38320400\n2009-10-21,17.980000,18.020000,17.570000,17.660000,17.660000,46204500\n2009-10-22,17.540001,17.750000,17.299999,17.670000,17.670000,16018100\n2009-10-23,17.709999,17.750000,17.090000,17.219999,17.219999,17760400\n2009-10-26,17.049999,17.200001,16.670000,16.870001,16.870001,21213100\n2009-10-27,16.690001,16.870001,16.350000,16.690001,16.690001,19917800\n2009-10-28,16.690001,16.770000,16.020000,16.040001,16.040001,25044800\n2009-10-29,16.190001,16.379999,15.740000,16.129999,16.129999,39146700\n2009-10-30,16.059999,16.370001,15.800000,15.900000,15.900000,22321700\n2009-11-02,15.750000,15.900000,15.590000,15.850000,15.850000,15258200\n2009-11-03,15.710000,15.790000,15.630000,15.700000,15.700000,17240200\n2009-11-04,15.900000,15.900000,15.660000,15.690000,15.690000,18697100\n2009-11-05,15.800000,16.000000,15.740000,15.900000,15.900000,27732500\n2009-11-06,15.890000,16.030001,15.760000,15.940000,15.940000,13562500\n2009-11-09,16.129999,16.190001,15.970000,16.020000,16.020000,14831900\n2009-11-10,16.080000,16.360001,16.010000,16.040001,16.040001,24097400\n2009-11-11,16.000000,16.160000,15.920000,16.090000,16.090000,16346100\n2009-11-12,16.100000,16.280001,15.970000,16.000000,16.000000,10210100\n2009-11-13,16.040001,16.100000,15.920000,15.930000,15.930000,26453800\n2009-11-16,16.080000,16.190001,15.920000,16.070000,16.070000,26125200\n2009-11-17,15.890000,16.110001,15.730000,16.049999,16.049999,22249500\n2009-11-18,16.020000,16.129999,15.840000,15.980000,15.980000,12775400\n2009-11-19,15.830000,15.850000,15.520000,15.610000,15.610000,26891000\n2009-11-20,15.600000,15.740000,15.360000,15.380000,15.380000,16127300\n2009-11-23,15.580000,15.650000,15.340000,15.450000,15.450000,24501400\n2009-11-24,15.380000,15.490000,15.200000,15.240000,15.240000,19774000\n2009-11-25,15.290000,15.350000,15.170000,15.300000,15.300000,21370600\n2009-11-27,15.040000,15.090000,14.880000,15.000000,15.000000,11452900\n2009-11-30,14.900000,15.100000,14.800000,14.970000,14.970000,17587000\n2009-12-01,15.030000,15.190000,14.850000,15.130000,15.130000,17096500\n2009-12-02,15.170000,15.500000,15.160000,15.310000,15.310000,17807800\n2009-12-03,15.330000,15.380000,15.100000,15.110000,15.110000,17196200\n2009-12-04,15.320000,15.380000,15.000000,15.190000,15.190000,17576000\n2009-12-07,15.360000,15.650000,15.320000,15.450000,15.450000,18035200\n2009-12-08,15.450000,15.900000,15.230000,15.450000,15.450000,31160600\n2009-12-09,15.520000,15.540000,15.120000,15.180000,15.180000,25396900\n2009-12-10,15.340000,15.570000,15.240000,15.490000,15.490000,18743000\n2009-12-11,15.850000,15.900000,15.620000,15.740000,15.740000,22607500\n2009-12-14,15.900000,15.970000,15.640000,15.810000,15.810000,18086300\n2009-12-15,15.770000,15.880000,15.650000,15.740000,15.740000,13272900\n2009-12-16,15.570000,15.820000,15.470000,15.790000,15.790000,20637500\n2009-12-17,15.720000,15.960000,15.640000,15.820000,15.820000,26156700\n2009-12-18,15.940000,16.139999,15.780000,16.139999,16.139999,30021100\n2009-12-21,16.110001,16.170000,15.850000,15.880000,15.880000,17806100\n2009-12-22,15.880000,16.080000,15.820000,15.980000,15.980000,10631600\n2009-12-23,16.350000,16.700001,16.000000,16.670000,16.670000,23584100\n2009-12-24,16.690001,16.750000,16.650000,16.719999,16.719999,4736600\n2009-12-28,16.740000,16.940001,16.680000,16.879999,16.879999,11504300\n2009-12-29,16.840000,16.969999,16.680000,16.920000,16.920000,13450200\n2009-12-30,16.830000,16.990000,16.809999,16.980000,16.980000,8188000\n2009-12-31,16.920000,16.959999,16.770000,16.780001,16.780001,9515600\n2010-01-04,16.940001,17.200001,16.879999,17.100000,17.100000,16587400\n2010-01-05,17.219999,17.230000,17.000000,17.230000,17.230000,11718100\n2010-01-06,17.170000,17.299999,17.070000,17.170000,17.170000,16422000\n2010-01-07,16.809999,16.900000,16.570000,16.700001,16.700001,31816300\n2010-01-08,16.680000,16.760000,16.620001,16.700001,16.700001,15470000\n2010-01-11,16.770000,16.830000,16.480000,16.740000,16.740000,16181900\n2010-01-12,16.650000,16.860001,16.600000,16.680000,16.680000,15672400\n2010-01-13,16.879999,16.980000,16.650000,16.900000,16.900000,16955600\n2010-01-14,16.809999,17.230000,16.799999,17.120001,17.120001,16715600\n2010-01-15,17.250000,17.250000,16.750000,16.820000,16.820000,18415000\n2010-01-19,16.780001,16.959999,16.639999,16.750000,16.750000,15182600\n2010-01-20,16.650000,16.680000,16.250000,16.379999,16.379999,14419500\n2010-01-21,16.389999,16.580000,16.100000,16.200001,16.200001,21858400\n2010-01-22,16.080000,16.209999,15.810000,15.880000,15.880000,25132800\n2010-01-25,16.070000,16.110001,15.740000,15.860000,15.860000,19683700\n2010-01-26,15.820000,16.170000,15.700000,15.990000,15.990000,43979400\n2010-01-27,16.459999,16.490000,15.770000,15.980000,15.980000,41701000\n2010-01-28,15.930000,15.960000,15.440000,15.440000,15.440000,30159500\n2010-01-29,15.510000,15.670000,14.900000,15.010000,15.010000,39664600\n2010-02-01,15.140000,15.300000,14.870000,15.050000,15.050000,29865700\n2010-02-02,15.100000,15.320000,15.030000,15.170000,15.170000,27555200\n2010-02-03,15.120000,15.600000,15.120000,15.460000,15.460000,24730600\n2010-02-04,15.340000,15.520000,14.990000,15.010000,15.010000,27668100\n2010-02-05,15.010000,15.250000,14.920000,15.190000,15.190000,20713800\n2010-02-08,15.180000,15.470000,14.950000,14.990000,14.990000,19856400\n2010-02-09,15.200000,15.240000,14.940000,15.070000,15.070000,16716900\n2010-02-10,15.020000,15.020000,14.480000,14.800000,14.800000,36518100\n2010-02-11,14.870000,15.250000,14.770000,15.220000,15.220000,24509500\n2010-02-12,15.070000,15.190000,14.850000,15.170000,15.170000,18926400\n2010-02-16,15.230000,15.480000,15.180000,15.410000,15.410000,21447200\n2010-02-17,15.500000,15.520000,15.320000,15.440000,15.440000,12731900\n2010-02-18,15.400000,15.600000,15.320000,15.540000,15.540000,13700100\n2010-02-19,15.490000,15.710000,15.330000,15.580000,15.580000,15407900\n2010-02-22,15.610000,15.680000,15.440000,15.490000,15.490000,10463500\n2010-02-23,15.450000,15.510000,15.140000,15.380000,15.380000,18346700\n2010-02-24,15.480000,15.710000,15.330000,15.590000,15.590000,19284200\n2010-02-25,15.320000,15.350000,15.130000,15.240000,15.240000,20126900\n2010-02-26,15.270000,15.410000,15.160000,15.310000,15.310000,14975600\n2010-03-01,15.430000,15.830000,15.400000,15.790000,15.790000,17238000\n2010-03-02,15.870000,15.960000,15.670000,15.730000,15.730000,20101800\n2010-03-03,15.850000,15.850000,15.550000,15.570000,15.570000,20613800\n2010-03-04,15.550000,15.850000,15.520000,15.810000,15.810000,22906000\n2010-03-05,15.890000,16.379999,15.890000,16.059999,16.059999,21415000\n2010-03-08,16.320000,16.610001,16.299999,16.520000,16.520000,30554000\n2010-03-09,16.410000,16.719999,16.400000,16.530001,16.530001,20755200\n2010-03-10,16.510000,16.940001,16.510000,16.790001,16.790001,33088600\n2010-03-11,16.570000,16.650000,16.100000,16.530001,16.530001,21732900\n2010-03-12,16.510000,16.590000,16.260000,16.320000,16.320000,23106400\n2010-03-15,16.350000,16.639999,16.280001,16.459999,16.459999,18967700\n2010-03-16,16.469999,16.590000,16.230000,16.360001,16.360001,18309900\n2010-03-17,16.280001,16.629999,16.280001,16.500000,16.500000,13754600\n2010-03-18,16.459999,16.570000,16.320000,16.559999,16.559999,12626200\n2010-03-19,16.620001,16.809999,16.340000,16.440001,16.440001,17871000\n2010-03-22,16.370001,16.540001,16.320000,16.340000,16.340000,18743500\n2010-03-23,16.340000,16.340000,15.970000,16.030001,16.030001,31875700\n2010-03-24,16.100000,16.200001,15.920000,16.090000,16.090000,32654500\n2010-03-25,16.170000,16.590000,16.139999,16.320000,16.320000,27487400\n2010-03-26,16.340000,16.570000,16.309999,16.540001,16.540001,23224900\n2010-03-29,16.480000,16.680000,16.469999,16.559999,16.559999,14902800\n2010-03-30,16.549999,16.690001,16.389999,16.610001,16.610001,16204100\n2010-03-31,16.450001,16.580000,16.420000,16.530001,16.530001,11996900\n2010-04-01,16.580000,16.600000,16.219999,16.290001,16.290001,20103800\n2010-04-05,16.389999,16.559999,16.299999,16.510000,16.510000,9220200\n2010-04-06,16.549999,16.980000,16.420000,16.920000,16.920000,25696700\n2010-04-07,16.780001,16.920000,16.760000,16.870001,16.870001,19921000\n2010-04-08,16.910000,17.410000,16.900000,17.350000,17.350000,45369200\n2010-04-09,17.420000,18.070000,17.250000,17.520000,17.520000,47732000\n2010-04-12,17.520000,17.879999,17.410000,17.639999,17.639999,22828900\n2010-04-13,17.510000,18.299999,17.400000,18.180000,18.180000,47514500\n2010-04-14,18.150000,18.469999,18.059999,18.379999,18.379999,41024800\n2010-04-15,18.299999,19.120001,18.129999,18.969999,18.969999,60024700\n2010-04-16,18.670000,18.680000,17.959999,18.170000,18.170000,51424700\n2010-04-19,18.010000,18.400000,17.990000,18.389999,18.389999,26971800\n2010-04-20,18.500000,18.530001,18.230000,18.379999,18.379999,39171900\n2010-04-21,17.580000,17.780001,17.299999,17.450001,17.450001,71686200\n2010-04-22,17.370001,17.780001,17.150000,17.719999,17.719999,36231400\n2010-04-23,17.709999,17.830000,17.500000,17.639999,17.639999,18901000\n2010-04-26,17.690001,17.719999,17.340000,17.389999,17.389999,17363800\n2010-04-27,17.280001,17.360001,16.879999,16.920000,16.920000,22851000\n2010-04-28,16.980000,17.000000,16.629999,16.750000,16.750000,26452500\n2010-04-29,16.820000,17.049999,16.780001,16.969999,16.969999,16788100\n2010-04-30,17.110001,17.129999,16.530001,16.530001,16.530001,19688200\n2010-05-03,16.680000,16.990000,16.559999,16.950001,16.950001,18162400\n2010-05-04,16.629999,16.900000,16.250000,16.320000,16.320000,31375300\n2010-05-05,16.170000,16.700001,16.110001,16.490000,16.490000,23004200\n2010-05-06,16.340000,16.510000,15.430000,15.920000,15.920000,32125800\n2010-05-07,15.770000,15.950000,15.250000,15.290000,15.290000,43941000\n2010-05-10,16.040001,16.830000,16.000000,16.330000,16.330000,28103500\n2010-05-11,15.950000,16.639999,15.910000,16.410000,16.410000,27786500\n2010-05-12,16.450001,16.500000,16.330000,16.469999,16.469999,16405900\n2010-05-13,16.490000,16.500000,16.080000,16.139999,16.139999,15363800\n2010-05-14,16.510000,16.660000,16.139999,16.389999,16.389999,28111400\n2010-05-17,16.410000,16.469999,15.960000,16.270000,16.270000,21935000\n2010-05-18,16.270000,16.440001,15.950000,16.030001,16.030001,16182200\n2010-05-19,15.830000,16.000000,15.510000,15.790000,15.790000,20485400\n2010-05-20,15.450000,15.490000,15.060000,15.100000,15.100000,33789000\n2010-05-21,14.810000,15.900000,14.630000,15.480000,15.480000,31215300\n2010-05-24,15.420000,15.790000,15.360000,15.540000,15.540000,20116800\n2010-05-25,15.040000,15.310000,14.890000,15.310000,15.310000,27856300\n2010-05-26,15.600000,15.830000,15.430000,15.450000,15.450000,33656000\n2010-05-27,15.830000,15.840000,15.360000,15.690000,15.690000,31091700\n2010-05-28,15.610000,15.690000,15.000000,15.340000,15.340000,17619700\n2010-06-01,15.310000,15.550000,14.980000,15.020000,15.020000,30475500\n2010-06-02,15.040000,15.200000,14.960000,15.180000,15.180000,24993000\n2010-06-03,15.320000,15.500000,15.160000,15.430000,15.430000,28395100\n2010-06-04,15.120000,15.380000,14.960000,15.000000,15.000000,23606400\n2010-06-07,15.190000,15.360000,14.940000,14.940000,14.940000,19153200\n2010-06-08,15.050000,15.120000,14.620000,14.790000,14.790000,35500700\n2010-06-09,14.930000,15.060000,14.650000,14.690000,14.690000,18108600\n2010-06-10,14.940000,15.140000,14.870000,15.100000,15.100000,21249100\n2010-06-11,15.020000,15.350000,14.980000,15.290000,15.290000,14056600\n2010-06-14,15.460000,15.490000,15.150000,15.170000,15.170000,12493100\n2010-06-15,15.290000,15.690000,15.230000,15.650000,15.650000,13888300\n2010-06-16,15.580000,15.650000,15.340000,15.490000,15.490000,15920300\n2010-06-17,15.720000,15.720000,15.440000,15.600000,15.600000,10769300\n2010-06-18,15.660000,15.670000,15.470000,15.540000,15.540000,12767100\n2010-06-21,15.710000,15.840000,15.090000,15.210000,15.210000,20412800\n2010-06-22,15.240000,15.510000,15.070000,15.090000,15.090000,22418100\n2010-06-23,15.140000,15.390000,14.950000,15.230000,15.230000,13374000\n2010-06-24,15.110000,15.190000,14.700000,14.830000,14.830000,18287700\n2010-06-25,14.860000,14.920000,14.570000,14.810000,14.810000,29817600\n2010-06-28,14.830000,14.860000,14.580000,14.730000,14.730000,8175400\n2010-06-29,14.530000,14.540000,13.880000,14.040000,14.040000,31825900\n2010-06-30,13.950000,14.220000,13.790000,13.840000,13.840000,23912900\n2010-07-01,13.990000,14.150000,13.750000,14.090000,14.090000,33222500\n2010-07-02,14.080000,14.240000,14.030000,14.070000,14.070000,18564400\n2010-07-06,14.230000,14.460000,14.000000,14.130000,14.130000,17334100\n2010-07-07,14.180000,14.420000,14.120000,14.400000,14.400000,17417900\n2010-07-08,14.430000,14.770000,14.400000,14.600000,14.600000,17088700\n2010-07-09,14.600000,14.930000,14.590000,14.890000,14.890000,12682000\n2010-07-12,14.930000,15.210000,14.780000,14.940000,14.940000,15585900\n2010-07-13,15.060000,15.600000,14.990000,15.520000,15.520000,22328800\n2010-07-14,15.320000,15.420000,15.200000,15.370000,15.370000,12255700\n2010-07-15,15.310000,15.390000,15.040000,15.370000,15.370000,12626600\n2010-07-16,15.330000,15.370000,13.860000,14.900000,14.900000,16829800\n2010-07-19,15.230000,15.380000,15.020000,15.100000,15.100000,16168200\n2010-07-20,14.990000,15.280000,14.800000,15.200000,15.200000,29578300\n2010-07-21,14.270000,14.280000,13.750000,13.910000,13.910000,78035800\n2010-07-22,13.890000,14.170000,13.810000,13.880000,13.880000,42677600\n2010-07-23,13.780000,14.040000,13.520000,13.990000,13.990000,34318400\n2010-07-26,13.960000,14.220000,13.950000,14.150000,14.150000,23247800\n2010-07-27,14.070000,14.100000,13.890000,13.950000,13.950000,20971000\n2010-07-28,13.910000,13.990000,13.850000,13.870000,13.870000,13522600\n2010-07-29,13.900000,13.960000,13.750000,13.760000,13.760000,16703000\n2010-07-30,13.690000,13.980000,13.680000,13.880000,13.880000,18380400\n2010-08-02,14.010000,14.080000,13.960000,14.000000,14.000000,14167200\n2010-08-03,13.950000,14.070000,13.910000,13.940000,13.940000,14098600\n2010-08-04,14.000000,14.200000,13.920000,14.180000,14.180000,14297200\n2010-08-05,14.160000,14.250000,14.020000,14.160000,14.160000,13072700\n2010-08-06,14.060000,14.380000,14.000000,14.340000,14.340000,13394800\n2010-08-09,14.340000,14.520000,14.340000,14.400000,14.400000,12202600\n2010-08-10,14.260000,14.460000,14.200000,14.350000,14.350000,9658000\n2010-08-11,14.140000,14.200000,13.840000,13.870000,13.870000,13235500\n2010-08-12,13.770000,13.990000,13.750000,13.850000,13.850000,11659900\n2010-08-13,13.810000,13.960000,13.760000,13.830000,13.830000,7845600\n2010-08-16,13.750000,13.900000,13.680000,13.790000,13.790000,11416400\n2010-08-17,13.840000,14.000000,13.750000,13.940000,13.940000,13298600\n2010-08-18,13.980000,14.050000,13.840000,13.990000,13.990000,15533300\n2010-08-19,13.850000,14.000000,13.800000,13.850000,13.850000,14100700\n2010-08-20,13.850000,13.950000,13.740000,13.790000,13.790000,17192200\n2010-08-23,13.810000,13.870000,13.540000,13.650000,13.650000,12297600\n2010-08-24,13.530000,13.640000,13.390000,13.400000,13.400000,13425800\n2010-08-25,13.290000,13.370000,13.140000,13.260000,13.260000,15556800\n2010-08-26,13.360000,13.400000,13.210000,13.210000,13.210000,14602700\n2010-08-27,13.240000,13.470000,13.030000,13.430000,13.430000,12705600\n2010-08-30,13.270000,13.420000,13.180000,13.180000,13.180000,7120900\n2010-08-31,13.110000,13.140000,12.940000,13.110000,13.110000,16489500\n2010-09-01,13.200000,13.410000,13.130000,13.370000,13.370000,24616700\n2010-09-02,13.330000,13.550000,13.260000,13.510000,13.510000,18190200\n2010-09-03,13.690000,13.750000,13.560000,13.620000,13.620000,12478500\n2010-09-07,13.560000,13.620000,13.500000,13.530000,13.530000,10240600\n2010-09-08,13.660000,13.820000,13.620000,13.750000,13.750000,12102700\n2010-09-09,13.880000,13.920000,13.570000,13.650000,13.650000,17735500\n2010-09-10,13.680000,13.770000,13.540000,13.680000,13.680000,18590100\n2010-09-13,13.830000,13.880000,13.610000,13.730000,13.730000,24261400\n2010-09-14,13.760000,13.760000,13.600000,13.630000,13.630000,23064500\n2010-09-15,14.030000,14.350000,13.770000,14.270000,14.270000,90035400\n2010-09-16,14.200000,14.230000,13.980000,14.190000,14.190000,27281500\n2010-09-17,14.330000,14.330000,13.880000,13.890000,13.890000,79565400\n2010-09-20,13.950000,14.060000,13.840000,13.860000,13.860000,26234600\n2010-09-21,13.940000,14.260000,13.920000,14.180000,14.180000,32048400\n2010-09-22,14.190000,14.250000,13.970000,14.040000,14.040000,18567400\n2010-09-23,13.930000,14.240000,13.930000,14.170000,14.170000,16931600\n2010-09-24,14.300000,14.510000,14.240000,14.500000,14.500000,24154800\n2010-09-27,14.460000,14.530000,14.250000,14.280000,14.280000,20674000\n2010-09-28,14.330000,14.450000,14.140000,14.390000,14.390000,16074100\n2010-09-29,14.360000,14.390000,14.060000,14.340000,14.340000,24475700\n2010-09-30,14.260000,14.350000,13.990000,14.170000,14.170000,20376200\n2010-10-01,14.190000,14.350000,14.130000,14.270000,14.270000,16096500\n2010-10-04,14.200000,14.320000,14.130000,14.280000,14.280000,20557500\n2010-10-05,14.450000,14.770000,14.400000,14.610000,14.610000,23988400\n2010-10-06,14.600000,14.700000,14.340000,14.520000,14.520000,20297000\n2010-10-07,14.600000,14.610000,14.140000,14.230000,14.230000,18068600\n2010-10-08,14.210000,14.560000,14.180000,14.490000,14.490000,16102900\n2010-10-11,14.450000,14.580000,14.380000,14.410000,14.410000,8348200\n2010-10-12,14.360000,14.470000,14.270000,14.430000,14.430000,12465700\n2010-10-13,14.570000,15.480000,14.500000,15.250000,15.250000,50773400\n2010-10-14,16.750000,16.760000,15.750000,15.930000,15.930000,123449900\n2010-10-15,16.170000,16.730000,15.900000,16.250000,16.250000,58481800\n2010-10-18,16.200001,16.280001,15.750000,15.930000,15.930000,35876500\n2010-10-19,15.730000,15.800000,15.370000,15.490000,15.490000,32678600\n2010-10-20,15.790000,16.250000,15.790000,15.800000,15.800000,37790200\n2010-10-21,15.900000,16.000000,15.730000,15.970000,15.970000,26935500\n2010-10-22,15.900000,16.410000,15.860000,16.309999,16.309999,24264100\n2010-10-25,16.299999,16.440001,16.150000,16.400000,16.400000,17251500\n2010-10-26,16.219999,16.480000,16.200001,16.459999,16.459999,22349000\n2010-10-27,16.400000,16.430000,16.200001,16.420000,16.420000,13764400\n2010-10-28,16.450001,16.450001,16.309999,16.400000,16.400000,12689500\n2010-10-29,16.370001,16.520000,16.330000,16.490000,16.490000,16013700\n2010-11-01,16.500000,16.520000,16.080000,16.150000,16.150000,14360600\n2010-11-02,16.290001,16.400000,16.180000,16.190001,16.190001,9964700\n2010-11-03,16.209999,16.230000,16.010000,16.170000,16.170000,17325500\n2010-11-04,16.309999,16.350000,16.020000,16.200001,16.200001,26484700\n2010-11-05,16.180000,16.400000,16.180000,16.270000,16.270000,13414000\n2010-11-08,16.290001,16.500000,16.250000,16.440001,16.440001,15561500\n2010-11-09,17.219999,17.600000,16.860001,16.969999,16.969999,56218900\n2010-11-10,17.000000,17.010000,16.750000,16.940001,16.940001,17012600\n2010-11-11,16.629999,16.860001,16.520000,16.799999,16.799999,15310600\n2010-11-12,16.650000,16.750000,16.400000,16.549999,16.549999,17703400\n2010-11-15,16.559999,16.889999,16.330000,16.600000,16.600000,18934600\n2010-11-16,16.450001,16.490000,16.100000,16.240000,16.240000,23484100\n2010-11-17,16.209999,16.330000,16.110001,16.150000,16.150000,10305800\n2010-11-18,16.400000,17.170000,16.290001,16.990000,16.990000,46500100\n2010-11-19,16.969999,16.969999,16.520000,16.570000,16.570000,24036200\n2010-11-22,16.430000,16.650000,16.250000,16.559999,16.559999,14316900\n2010-11-23,16.340000,16.430000,16.040001,16.190001,16.190001,22437900\n2010-11-24,16.309999,16.480000,16.150000,16.410000,16.410000,11561700\n2010-11-26,16.250000,16.400000,16.219999,16.219999,16.219999,4953900\n2010-11-29,16.100000,16.450001,15.950000,16.379999,16.379999,14653000\n2010-11-30,16.200001,16.340000,15.770000,15.820000,15.820000,24981100\n2010-12-01,16.000000,16.400000,16.000000,16.150000,16.150000,17435900\n2010-12-02,16.200001,16.410000,16.120001,16.330000,16.330000,13167300\n2010-12-03,16.270000,16.370001,16.200001,16.350000,16.350000,9228000\n2010-12-06,16.469999,16.600000,16.299999,16.330000,16.330000,12063800\n2010-12-07,16.500000,17.070000,16.500000,16.940001,16.940001,29056400\n2010-12-08,17.010000,17.219999,16.959999,17.020000,17.020000,21773300\n2010-12-09,17.120001,17.190001,16.799999,16.950001,16.950001,8673300\n2010-12-10,16.969999,17.049999,16.910000,17.010000,17.010000,8985300\n2010-12-13,16.900000,16.990000,16.690001,16.700001,16.700001,12755400\n2010-12-14,16.770000,16.840000,16.570000,16.629999,16.629999,11429500\n2010-12-15,16.549999,16.730000,16.420000,16.450001,16.450001,10944200\n2010-12-16,16.450001,16.700001,16.440001,16.510000,16.510000,12940500\n2010-12-17,16.510000,16.660000,16.320000,16.379999,16.379999,24896100\n2010-12-20,16.379999,16.420000,16.150000,16.280001,16.280001,17566400\n2010-12-21,16.309999,16.680000,16.200001,16.600000,16.600000,11394700\n2010-12-22,16.670000,16.780001,16.559999,16.629999,16.629999,6767500\n2010-12-23,16.559999,16.730000,16.450001,16.719999,16.719999,8889200\n2010-12-27,16.620001,16.629999,16.400000,16.480000,16.480000,7492300\n2010-12-28,16.469999,16.540001,16.330000,16.430000,16.430000,8389100\n2010-12-29,16.500000,16.770000,16.430000,16.610001,16.610001,7668600\n2010-12-30,16.600000,16.770000,16.520000,16.760000,16.760000,8318900\n2010-12-31,16.740000,16.760000,16.469999,16.629999,16.629999,7754500\n2011-01-03,16.809999,16.940001,16.670000,16.750000,16.750000,17684000\n2011-01-04,16.709999,16.830000,16.570000,16.590000,16.590000,11092800\n2011-01-05,16.549999,16.910000,16.340000,16.910000,16.910000,23447700\n2011-01-06,16.900000,17.340000,16.770000,17.059999,17.059999,30656800\n2011-01-07,17.030001,17.170000,16.650000,16.900000,16.900000,19869500\n2011-01-10,16.780001,16.799999,16.500000,16.600000,16.600000,16176700\n2011-01-11,16.700001,16.730000,16.530001,16.580000,16.580000,14615700\n2011-01-12,16.709999,16.809999,16.590000,16.650000,16.650000,15066200\n2011-01-13,16.639999,16.920000,16.570000,16.750000,16.750000,15961000\n2011-01-14,16.670000,16.830000,16.600000,16.809999,16.809999,13593500\n2011-01-18,16.620001,16.680000,16.420000,16.500000,16.500000,21392500\n2011-01-19,16.490000,16.549999,16.230000,16.309999,16.309999,17130000\n2011-01-20,16.290001,16.330000,16.090000,16.230000,16.230000,14622700\n2011-01-21,16.270000,16.309999,15.930000,15.970000,15.970000,23366200\n2011-01-24,16.000000,16.240000,15.760000,16.090000,16.090000,23375300\n2011-01-25,16.170000,16.190001,15.850000,16.020000,16.020000,26673100\n2011-01-26,15.930000,16.049999,15.410000,15.570000,15.570000,49690800\n2011-01-27,15.580000,16.360001,15.580000,16.200001,16.200001,39067000\n2011-01-28,16.150000,16.209999,15.680000,15.830000,15.830000,24734000\n2011-01-31,15.820000,16.200001,15.790000,16.120001,16.120001,22911400\n2011-02-01,16.330000,16.459999,16.230000,16.379999,16.379999,26938900\n2011-02-02,16.250000,16.660000,16.250000,16.570000,16.570000,21106800\n2011-02-03,16.480000,16.910000,16.400000,16.690001,16.690001,33314600\n2011-02-04,16.740000,16.910000,16.450001,16.790001,16.790001,19127900\n2011-02-07,16.809999,17.000000,16.770000,16.799999,16.799999,16046500\n2011-02-08,16.830000,16.850000,16.480000,16.600000,16.600000,17932000\n2011-02-09,16.540001,16.700001,16.350000,16.430000,16.430000,17778700\n2011-02-10,16.389999,16.719999,16.350000,16.620001,16.620001,15430500\n2011-02-11,16.580000,16.870001,16.540001,16.850000,16.850000,15386300\n2011-02-14,16.840000,16.930000,16.719999,16.889999,16.889999,14503000\n2011-02-15,16.799999,17.389999,16.780001,17.200001,17.200001,31395200\n2011-02-16,17.230000,17.820000,17.209999,17.760000,17.760000,41824100\n2011-02-17,17.750000,17.820000,17.500000,17.770000,17.770000,23566600\n2011-02-18,17.690001,17.840000,17.570000,17.660000,17.660000,13729900\n2011-02-22,17.080000,17.389999,16.870001,16.910000,16.910000,34759500\n2011-02-23,17.030001,17.100000,16.350000,16.580000,16.580000,35225100\n2011-02-24,16.660000,16.730000,16.040001,16.370001,16.370001,31570400\n2011-02-25,16.389999,16.770000,16.379999,16.500000,16.500000,16939600\n2011-02-28,16.370001,16.600000,16.280001,16.400000,16.400000,20210300\n2011-03-01,16.459999,16.490000,16.080000,16.100000,16.100000,16702800\n2011-03-02,16.650000,16.850000,16.600000,16.629999,16.629999,24521100\n2011-03-03,16.850000,17.049999,16.760000,16.860001,16.860001,35202100\n2011-03-04,16.750000,17.200001,16.719999,17.080000,17.080000,20274200\n2011-03-07,17.070000,17.150000,16.490000,16.700001,16.700001,18770800\n2011-03-08,16.740000,17.020000,16.719999,16.940001,16.940001,12717200\n2011-03-09,16.889999,17.700001,16.850000,17.650000,17.650000,33798000\n2011-03-10,17.299999,17.389999,16.930000,17.059999,17.059999,25659700\n2011-03-11,17.000000,17.540001,17.000000,17.420000,17.420000,19454900\n2011-03-14,17.240000,17.440001,17.090000,17.309999,17.309999,21615500\n2011-03-15,16.660000,16.680000,16.040001,16.330000,16.330000,51489300\n2011-03-16,16.330000,16.480000,15.850000,15.910000,15.910000,38378500\n2011-03-17,16.160000,16.420000,15.810000,15.860000,15.860000,37548800\n2011-03-18,16.100000,16.190001,16.010000,16.030001,16.030001,26660400\n2011-03-21,16.180000,16.500000,16.160000,16.290001,16.290001,20613700\n2011-03-22,16.290001,16.480000,16.160000,16.360001,16.360001,30692400\n2011-03-23,16.299999,16.340000,15.980000,16.129999,16.129999,30842500\n2011-03-24,16.190001,16.910000,16.170000,16.830000,16.830000,20120300\n2011-03-25,16.940001,17.049999,16.700001,16.959999,16.959999,21047200\n2011-03-28,17.010000,17.059999,16.580000,16.580000,16.580000,16066700\n2011-03-29,16.600000,16.780001,16.530001,16.750000,16.750000,10037900\n2011-03-30,16.830000,16.920000,16.680000,16.740000,16.740000,12944600\n2011-03-31,16.709999,16.879999,16.650000,16.680000,16.680000,15131500\n2011-04-01,16.830000,16.980000,16.719999,16.840000,16.840000,12487400\n2011-04-04,16.900000,17.049999,16.809999,16.870001,16.870001,9560800\n2011-04-05,16.809999,17.290001,16.790001,17.110001,17.110001,18464500\n2011-04-06,17.170000,17.200001,16.940001,17.049999,17.049999,13298700\n2011-04-07,16.910000,17.100000,16.790001,17.000000,17.000000,12778700\n2011-04-08,17.080000,17.110001,16.770000,16.770000,16.770000,13114200\n2011-04-11,16.910000,16.959999,16.370001,16.590000,16.590000,34841900\n2011-04-12,16.549999,16.639999,16.290001,16.360001,16.360001,19783600\n2011-04-13,16.430000,16.690001,16.430000,16.639999,16.639999,16700400\n2011-04-14,16.549999,16.820000,16.430000,16.690001,16.690001,16595500\n2011-04-15,16.639999,16.780001,16.540001,16.620001,16.620001,14756500\n2011-04-18,16.350000,16.440001,16.059999,16.350000,16.350000,21935700\n2011-04-19,16.209999,16.360001,16.080000,16.120001,16.120001,31547400\n2011-04-20,16.700001,17.230000,16.590000,16.870001,16.870001,34310400\n2011-04-21,16.930000,16.940001,16.740000,16.850000,16.850000,13985200\n2011-04-25,17.010000,17.309999,16.900000,17.110001,17.110001,17771500\n2011-04-26,17.110001,17.370001,17.020000,17.280001,17.280001,20000000\n2011-04-27,17.299999,17.430000,17.180000,17.260000,17.260000,16642400\n2011-04-28,17.219999,17.530001,17.170000,17.510000,17.510000,14400000\n2011-04-29,17.459999,17.770000,17.360001,17.700001,17.700001,30800000\n2011-05-02,17.790001,18.350000,17.570000,18.139999,18.139999,44030600\n2011-05-03,18.230000,18.639999,17.879999,17.920000,17.920000,32600000\n2011-05-04,17.990000,18.379999,17.959999,18.200001,18.200001,23584900\n2011-05-05,18.120001,18.559999,18.049999,18.430000,18.430000,30800000\n2011-05-06,18.590000,18.799999,18.379999,18.650000,18.650000,29690800\n2011-05-09,18.600000,18.840000,18.540001,18.559999,18.559999,15595600\n2011-05-10,18.670000,18.700001,18.420000,18.549999,18.549999,18475100\n2011-05-11,18.450001,18.610001,16.740000,17.200001,17.200001,131200000\n2011-05-12,17.120001,17.809999,16.930000,17.170000,17.170000,53000000\n2011-05-13,16.139999,16.840000,15.960000,16.549999,16.549999,120057600\n2011-05-16,16.680000,16.690001,15.630000,15.810000,15.810000,62082200\n2011-05-17,15.880000,16.070000,15.730000,16.000000,16.000000,31205200\n2011-05-18,16.070000,16.160000,15.750000,15.960000,15.960000,25880200\n2011-05-19,16.049999,16.490000,16.040001,16.350000,16.350000,40356400\n2011-05-20,16.320000,16.440001,16.150000,16.299999,16.299999,23582700\n2011-05-23,16.049999,16.170000,16.000000,16.059999,16.059999,19300000\n2011-05-24,16.110001,16.410000,16.049999,16.139999,16.139999,23150600\n2011-05-25,16.190001,16.990000,16.100000,16.150000,16.150000,34172600\n2011-05-26,16.180000,16.219999,15.880000,15.980000,15.980000,23999500\n2011-05-27,16.030001,16.190001,15.950000,16.020000,16.020000,20091200\n2011-05-31,16.170000,16.590000,16.120001,16.549999,16.549999,30266600\n2011-06-01,16.340000,16.430000,15.790000,15.850000,15.850000,40295600\n2011-06-02,16.000000,16.110001,15.870000,16.020000,16.020000,21005000\n2011-06-03,15.820000,16.000000,15.630000,15.680000,15.680000,22245200\n2011-06-06,15.650000,15.850000,15.410000,15.450000,15.450000,18200400\n2011-06-07,15.540000,15.650000,15.320000,15.450000,15.450000,16516100\n2011-06-08,15.370000,15.380000,15.080000,15.100000,15.100000,21986600\n2011-06-09,15.180000,15.330000,14.940000,15.220000,15.220000,18681900\n2011-06-10,15.270000,15.730000,15.110000,15.200000,15.200000,19452400\n2011-06-13,15.200000,15.340000,15.100000,15.160000,15.160000,14581200\n2011-06-14,15.260000,15.560000,15.190000,15.200000,15.200000,21994400\n2011-06-15,15.010000,15.050000,14.500000,14.810000,14.810000,41286100\n2011-06-16,15.010000,15.090000,14.650000,14.780000,14.780000,24446700\n2011-06-17,14.980000,14.980000,14.560000,14.700000,14.700000,22963400\n2011-06-20,14.660000,15.420000,14.660000,14.990000,14.990000,32646500\n2011-06-21,15.030000,15.380000,14.910000,15.350000,15.350000,17507800\n2011-06-22,15.290000,15.530000,15.190000,15.230000,15.230000,30154700\n2011-06-23,15.080000,15.090000,14.720000,15.080000,15.080000,32524700\n2011-06-24,15.080000,15.160000,14.850000,14.890000,14.890000,25340600\n2011-06-27,14.870000,14.980000,14.770000,14.880000,14.880000,13836300\n2011-06-28,14.950000,15.180000,14.880000,14.950000,14.950000,16056600\n2011-06-29,14.960000,15.050000,14.680000,14.890000,14.890000,25465200\n2011-06-30,14.980000,15.100000,14.640000,15.040000,15.040000,34905700\n2011-07-01,15.080000,15.500000,15.020000,15.450000,15.450000,16272500\n2011-07-05,15.400000,15.670000,15.250000,15.490000,15.490000,20481700\n2011-07-06,15.530000,15.810000,15.520000,15.720000,15.720000,18287200\n2011-07-07,15.780000,15.950000,15.700000,15.810000,15.810000,20991400\n2011-07-08,15.620000,15.690000,15.440000,15.610000,15.610000,14364900\n2011-07-11,15.430000,15.440000,14.990000,15.050000,15.050000,21486700\n2011-07-12,15.010000,15.180000,14.850000,14.860000,14.860000,22791100\n2011-07-13,15.010000,15.100000,14.870000,14.910000,14.910000,16646100\n2011-07-14,14.880000,14.990000,14.600000,14.630000,14.630000,27078600\n2011-07-15,14.750000,14.940000,14.610000,14.690000,14.690000,19745100\n2011-07-18,14.680000,14.690000,14.370000,14.420000,14.420000,24504800\n2011-07-19,14.570000,14.690000,14.450000,14.590000,14.590000,30168200\n2011-07-20,14.150000,14.150000,13.450000,13.480000,13.480000,63098400\n2011-07-21,13.500000,13.630000,13.360000,13.590000,13.590000,30487100\n2011-07-22,13.650000,14.050000,13.570000,13.980000,13.980000,30144800\n2011-07-25,13.840000,13.880000,13.680000,13.690000,13.690000,16725400\n2011-07-26,13.700000,13.990000,13.650000,13.940000,13.940000,20934200\n2011-07-27,13.870000,13.900000,13.570000,13.590000,13.590000,20559500\n2011-07-28,13.600000,13.710000,13.430000,13.500000,13.500000,20636500\n2011-07-29,13.890000,14.070000,13.040000,13.100000,13.100000,67798500\n2011-08-01,13.240000,13.340000,12.950000,13.100000,13.100000,26880000\n2011-08-02,12.960000,13.180000,12.750000,12.760000,12.760000,25800300\n2011-08-03,12.770000,13.070000,12.530000,13.020000,13.020000,26161900\n2011-08-04,12.800000,12.860000,11.990000,12.000000,12.000000,39442300\n2011-08-05,12.080000,12.120000,11.410000,11.740000,11.740000,47066200\n2011-08-08,11.430000,11.800000,11.090000,11.090000,11.090000,59577600\n2011-08-09,11.300000,12.090000,11.250000,12.090000,12.090000,47484100\n2011-08-10,11.770000,12.140000,11.620000,11.770000,11.770000,48027400\n2011-08-11,11.890000,12.920000,11.880000,12.860000,12.860000,51098800\n2011-08-12,12.810000,13.620000,12.760000,13.590000,13.590000,48472500\n2011-08-15,13.630000,13.690000,13.270000,13.470000,13.470000,25682800\n2011-08-16,13.340000,13.570000,13.180000,13.480000,13.480000,25581900\n2011-08-17,13.490000,13.620000,13.320000,13.470000,13.470000,17006500\n2011-08-18,13.020000,13.090000,12.800000,12.960000,12.960000,30447700\n2011-08-19,12.750000,13.080000,12.720000,12.920000,12.920000,26183900\n2011-08-22,13.160000,13.230000,12.770000,12.840000,12.840000,14199400\n2011-08-23,12.910000,13.350000,12.750000,13.350000,13.350000,17186500\n2011-08-24,13.280000,13.300000,12.790000,13.150000,13.150000,24967200\n2011-08-25,13.120000,13.210000,12.810000,12.870000,12.870000,21811800\n2011-08-26,12.800000,12.890000,12.520000,12.740000,12.740000,35882600\n2011-08-29,12.900000,13.680000,12.690000,13.680000,13.680000,30990800\n2011-08-30,13.300000,13.980000,13.230000,13.840000,13.840000,29162300\n2011-08-31,13.910000,13.940000,13.540000,13.610000,13.610000,25390700\n2011-09-01,13.670000,13.780000,13.320000,13.350000,13.350000,17962700\n2011-09-02,13.120000,13.130000,12.860000,12.870000,12.870000,20508600\n2011-09-06,12.520000,12.950000,12.450000,12.910000,12.910000,54455300\n2011-09-07,13.750000,14.000000,13.240000,13.610000,13.610000,77324200\n2011-09-08,13.570000,14.490000,13.370000,14.440000,14.440000,93972000\n2011-09-09,14.360000,14.570000,14.070000,14.480000,14.480000,60031900\n2011-09-12,14.120000,14.280000,13.920000,14.260000,14.260000,32692700\n2011-09-13,14.300000,14.340000,14.120000,14.260000,14.260000,19928800\n2011-09-14,14.470000,14.940000,14.340000,14.550000,14.550000,37385000\n2011-09-15,14.730000,15.400000,14.510000,14.890000,14.890000,58585100\n2011-09-16,15.090000,15.340000,14.940000,14.970000,14.970000,56827900\n2011-09-19,14.760000,14.790000,14.400000,14.610000,14.610000,27290100\n2011-09-20,14.530000,14.660000,14.280000,14.360000,14.360000,21767200\n2011-09-21,14.380000,14.600000,13.960000,13.960000,13.960000,32012800\n2011-09-22,14.200000,14.250000,13.690000,13.990000,13.990000,60456300\n2011-09-23,14.230000,14.830000,14.120000,14.710000,14.710000,49333200\n2011-09-26,14.790000,14.800000,14.230000,14.750000,14.750000,24466200\n2011-09-27,14.920000,15.000000,14.440000,14.540000,14.540000,25084400\n2011-09-28,14.610000,14.620000,14.150000,14.190000,14.190000,21284700\n2011-09-29,14.340000,14.390000,13.150000,13.420000,13.420000,45776600\n2011-09-30,13.210000,13.440000,13.110000,13.170000,13.170000,30232800\n2011-10-03,13.700000,14.040000,13.370000,13.530000,13.530000,43196300\n2011-10-04,14.000000,14.480000,13.870000,14.460000,14.460000,44487200\n2011-10-05,14.660000,16.150000,14.390000,15.920000,15.920000,97330200\n2011-10-06,15.160000,15.800000,14.920000,15.650000,15.650000,49961100\n2011-10-07,15.640000,15.750000,15.380000,15.470000,15.470000,27954000\n2011-10-10,15.860000,16.040001,15.620000,15.840000,15.840000,33085000\n2011-10-11,15.790000,15.950000,15.590000,15.860000,15.860000,18050300\n2011-10-12,15.930000,15.950000,15.670000,15.770000,15.770000,20585400\n2011-10-13,15.760000,16.370001,15.540000,15.930000,15.930000,32487300\n2011-10-14,16.129999,16.150000,15.660000,15.910000,15.910000,23520100\n2011-10-17,15.950000,16.040001,15.650000,15.700000,15.700000,21204000\n2011-10-18,15.720000,15.740000,15.110000,15.470000,15.470000,31377900\n2011-10-19,16.040001,16.790001,15.730000,15.940000,15.940000,54264500\n2011-10-20,16.200001,16.490000,15.970000,16.180000,16.180000,40816900\n2011-10-21,16.379999,16.389999,16.059999,16.120001,16.120001,29739400\n2011-10-24,16.570000,16.750000,16.309999,16.709999,16.709999,29864000\n2011-10-25,16.660000,16.700001,16.180000,16.240000,16.240000,24059700\n2011-10-26,16.330000,16.440001,15.860000,16.299999,16.299999,23630100\n2011-10-27,16.559999,16.700001,16.450001,16.629999,16.629999,19772200\n2011-10-28,16.410000,16.700001,16.250000,16.559999,16.559999,20286900\n2011-10-31,16.059999,16.070000,15.450000,15.640000,15.640000,39763700\n2011-11-01,14.950000,15.080000,14.750000,14.930000,14.930000,41834700\n2011-11-02,15.100000,15.300000,15.000000,15.100000,15.100000,20758800\n2011-11-03,15.200000,15.500000,15.030000,15.480000,15.480000,16809500\n2011-11-04,15.390000,15.540000,14.950000,15.240000,15.240000,41853000\n2011-11-07,15.260000,15.700000,15.250000,15.690000,15.690000,22390700\n2011-11-08,15.870000,16.180000,15.810000,15.970000,15.970000,25079700\n2011-11-09,16.170000,16.500000,15.870000,15.920000,15.920000,45328300\n2011-11-10,16.180000,16.219999,15.840000,15.950000,15.950000,15366400\n2011-11-11,15.960000,16.309999,15.910000,16.270000,16.270000,14541600\n2011-11-14,16.170000,16.309999,15.930000,16.000000,16.000000,14277600\n2011-11-15,15.930000,16.049999,15.700000,15.930000,15.930000,17650700\n2011-11-16,15.800000,16.100000,15.700000,15.720000,15.720000,14367600\n2011-11-17,15.690000,15.770000,15.200000,15.340000,15.340000,17443700\n2011-11-18,15.570000,15.690000,15.370000,15.380000,15.380000,17160300\n2011-11-21,15.190000,15.190000,14.770000,14.990000,14.990000,23676900\n2011-11-22,14.880000,15.080000,14.750000,14.970000,14.970000,14836000\n2011-11-23,15.200000,15.240000,14.830000,14.940000,14.940000,20125200\n2011-11-25,15.000000,15.250000,14.900000,15.100000,15.100000,10781800\n2011-11-28,15.240000,15.470000,15.210000,15.350000,15.350000,19029000\n2011-11-29,15.600000,15.940000,15.450000,15.700000,15.700000,29294000\n2011-11-30,15.900000,16.040001,15.650000,15.710000,15.710000,34718200\n2011-12-01,16.420000,16.459999,16.090000,16.230000,16.230000,47059800\n2011-12-02,16.309999,16.410000,16.030001,16.049999,16.049999,22714500\n2011-12-05,16.110001,16.139999,15.830000,15.890000,15.890000,19896500\n2011-12-06,15.900000,16.049999,15.840000,15.840000,15.840000,17333200\n2011-12-07,15.820000,15.860000,15.560000,15.620000,15.620000,19750500\n2011-12-08,15.600000,15.760000,15.530000,15.610000,15.610000,18126100\n2011-12-09,15.610000,15.960000,15.600000,15.940000,15.940000,13446300\n2011-12-12,15.710000,15.720000,15.410000,15.470000,15.470000,14689400\n2011-12-13,15.540000,15.740000,15.350000,15.420000,15.420000,15584400\n2011-12-14,15.190000,15.280000,14.800000,15.020000,15.020000,27251100\n2011-12-15,15.210000,15.290000,15.010000,15.160000,15.160000,14829800\n2011-12-16,15.050000,15.260000,14.920000,14.960000,14.960000,32617200\n2011-12-19,14.950000,15.000000,14.570000,14.620000,14.620000,21447300\n2011-12-20,14.680000,15.190000,14.680000,15.110000,15.110000,15885700\n2011-12-21,15.150000,16.240000,14.740000,15.990000,15.990000,47127600\n2011-12-22,16.360001,16.400000,15.950000,16.000000,16.000000,33812800\n2011-12-23,16.049999,16.260000,15.870000,16.190001,16.190001,17865900\n2011-12-27,16.160000,16.170000,16.010000,16.090000,16.090000,9739500\n2011-12-28,16.030001,16.049999,15.670000,15.780000,15.780000,14679900\n2011-12-29,15.950000,16.230000,15.800000,16.129999,16.129999,15280900\n2011-12-30,16.180000,16.209999,16.030001,16.129999,16.129999,10832800\n2012-01-03,16.270000,16.389999,16.200001,16.290001,16.290001,19708600\n2012-01-04,16.120001,16.160000,15.740000,15.780000,15.780000,35655300\n2012-01-05,15.600000,15.690000,15.440000,15.640000,15.640000,19422800\n2012-01-06,15.640000,15.660000,15.400000,15.520000,15.520000,13308400\n2012-01-09,15.590000,15.610000,15.350000,15.460000,15.460000,13191900\n2012-01-10,15.570000,15.710000,15.500000,15.510000,15.510000,14048800\n2012-01-11,15.560000,15.620000,15.350000,15.530000,15.530000,10800800\n2012-01-12,15.580000,15.730000,15.450000,15.660000,15.660000,12664600\n2012-01-13,15.650000,15.670000,15.430000,15.480000,15.480000,11704700\n2012-01-17,15.630000,15.660000,15.390000,15.430000,15.430000,15334200\n2012-01-18,15.870000,16.000000,15.690000,15.920000,15.920000,35695800\n2012-01-19,15.900000,16.150000,15.890000,16.120001,16.120001,22645000\n2012-01-20,16.110001,16.110001,15.850000,15.960000,15.960000,22003800\n2012-01-23,15.850000,15.930000,15.640000,15.680000,15.680000,17864500\n2012-01-24,15.570000,15.810000,15.550000,15.690000,15.690000,17152200\n2012-01-25,15.600000,15.710000,15.460000,15.560000,15.560000,23349500\n2012-01-26,15.630000,15.690000,15.420000,15.530000,15.530000,15408400\n2012-01-27,15.500000,15.800000,15.460000,15.740000,15.740000,10859000\n2012-01-30,15.610000,15.650000,15.500000,15.550000,15.550000,11076900\n2012-01-31,15.540000,15.620000,15.410000,15.470000,15.470000,10725500\n2012-02-01,15.570000,15.800000,15.530000,15.730000,15.730000,13221000\n2012-02-02,15.760000,15.820000,15.690000,15.720000,15.720000,9948800\n2012-02-03,15.940000,15.980000,15.830000,15.920000,15.920000,13652100\n2012-02-06,15.940000,15.950000,15.760000,15.820000,15.820000,11291100\n2012-02-07,15.840000,15.890000,15.740000,15.830000,15.830000,13504500\n2012-02-08,15.960000,15.970000,15.720000,15.780000,15.780000,13439400\n2012-02-09,16.100000,16.100000,15.900000,16.000000,16.000000,22553000\n2012-02-10,16.020000,16.309999,16.000000,16.139999,16.139999,27790100\n2012-02-13,16.129999,16.240000,16.049999,16.120001,16.120001,10067300\n2012-02-14,16.070000,16.100000,14.920000,15.370000,15.370000,88638700\n2012-02-15,15.230000,15.300000,15.080000,15.120000,15.120000,25318400\n2012-02-16,15.250000,15.380000,15.100000,15.360000,15.360000,15377400\n2012-02-17,15.410000,15.440000,15.000000,15.010000,15.010000,22889500\n2012-02-21,15.040000,15.070000,14.750000,14.750000,14.750000,29696600\n2012-02-22,14.680000,14.750000,14.430000,14.500000,14.500000,27187200\n2012-02-23,14.550000,14.810000,14.370000,14.780000,14.780000,15689700\n2012-02-24,14.860000,14.970000,14.830000,14.890000,14.890000,12105400\n2012-02-27,14.740000,14.910000,14.720000,14.860000,14.860000,13431000\n2012-02-28,14.930000,14.990000,14.760000,14.900000,14.900000,15395600\n2012-02-29,14.890000,14.930000,14.780000,14.830000,14.830000,19611100\n2012-03-01,14.890000,14.960000,14.790000,14.930000,14.930000,12283300\n2012-03-02,14.890000,14.920000,14.660000,14.720000,14.720000,9164900\n2012-03-05,14.660000,14.950000,14.520000,14.620000,14.620000,11749700\n2012-03-06,14.610000,14.690000,14.350000,14.420000,14.420000,12696600\n2012-03-07,14.480000,14.710000,14.440000,14.620000,14.620000,10622500\n2012-03-08,14.700000,14.770000,14.520000,14.620000,14.620000,11271400\n2012-03-09,14.630000,14.700000,14.610000,14.630000,14.630000,9769900\n2012-03-12,14.660000,14.760000,14.480000,14.490000,14.490000,11309200\n2012-03-13,14.540000,14.620000,14.390000,14.550000,14.550000,17134400\n2012-03-14,14.540000,14.640000,14.420000,14.630000,14.630000,14765500\n2012-03-15,14.640000,14.980000,14.570000,14.890000,14.890000,19809800\n2012-03-16,14.950000,15.180000,14.920000,15.180000,15.180000,28337600\n2012-03-19,15.080000,15.220000,14.920000,15.150000,15.150000,16649600\n2012-03-20,15.000000,15.610000,14.920000,15.410000,15.410000,22095600\n2012-03-21,15.420000,15.610000,15.170000,15.510000,15.510000,25024100\n2012-03-22,15.510000,15.560000,15.380000,15.490000,15.490000,14618600\n2012-03-23,15.520000,15.590000,15.310000,15.390000,15.390000,8493700\n2012-03-26,15.460000,15.560000,15.360000,15.540000,15.540000,11500800\n2012-03-27,15.530000,15.550000,15.410000,15.430000,15.430000,11891000\n2012-03-28,15.450000,15.480000,15.140000,15.320000,15.320000,18831800\n2012-03-29,15.190000,15.340000,15.110000,15.300000,15.300000,9933800\n2012-03-30,15.370000,15.420000,15.180000,15.220000,15.220000,15514100\n2012-04-02,15.190000,15.510000,15.110000,15.460000,15.460000,14423800\n2012-04-03,15.360000,15.430000,15.060000,15.180000,15.180000,18215000\n2012-04-04,15.150000,15.340000,15.000000,15.270000,15.270000,20954600\n2012-04-05,15.140000,15.260000,15.000000,15.070000,15.070000,11717000\n2012-04-09,15.000000,15.250000,14.960000,15.100000,15.100000,11335400\n2012-04-10,15.080000,15.180000,14.910000,14.990000,14.990000,15284200\n2012-04-11,15.080000,15.080000,14.840000,14.880000,14.880000,11200900\n2012-04-12,14.900000,15.100000,14.840000,15.060000,15.060000,9487500\n2012-04-13,14.990000,15.180000,14.860000,14.870000,14.870000,15335800\n2012-04-16,15.000000,15.040000,14.730000,14.790000,14.790000,13639200\n2012-04-17,14.820000,15.180000,14.820000,15.010000,15.010000,20559000\n2012-04-18,15.400000,15.570000,15.300000,15.490000,15.490000,36559000\n2012-04-19,15.440000,15.570000,15.360000,15.400000,15.400000,18431200\n2012-04-20,15.410000,15.700000,15.390000,15.600000,15.600000,24558400\n2012-04-23,15.410000,15.470000,15.290000,15.330000,15.330000,21683700\n2012-04-24,15.330000,15.520000,15.330000,15.430000,15.430000,12140200\n2012-04-25,15.430000,15.510000,15.380000,15.500000,15.500000,13236900\n2012-04-26,15.440000,15.550000,15.380000,15.530000,15.530000,12542800\n2012-04-27,15.510000,15.620000,15.490000,15.570000,15.570000,9711600\n2012-04-30,15.550000,15.570000,15.450000,15.540000,15.540000,10894600\n2012-05-01,15.510000,15.730000,15.500000,15.630000,15.630000,9799300\n2012-05-02,15.580000,15.770000,15.540000,15.670000,15.670000,10841000\n2012-05-03,15.650000,15.650000,15.330000,15.400000,15.400000,10932700\n2012-05-04,15.250000,15.290000,15.090000,15.150000,15.150000,13771300\n2012-05-07,15.340000,15.490000,15.160000,15.350000,15.350000,13466000\n2012-05-08,15.310000,15.440000,15.090000,15.360000,15.360000,18603600\n2012-05-09,15.170000,15.450000,15.030000,15.300000,15.300000,19008500\n2012-05-10,15.400000,15.540000,15.300000,15.440000,15.440000,11175700\n2012-05-11,14.880000,15.440000,14.800000,15.190000,15.190000,21134300\n2012-05-14,15.480000,15.770000,15.400000,15.500000,15.500000,30818600\n2012-05-15,15.470000,15.550000,15.340000,15.400000,15.400000,13742500\n2012-05-16,15.400000,15.570000,15.260000,15.280000,15.280000,17247400\n2012-05-17,15.260000,15.370000,14.850000,14.870000,14.870000,17345100\n2012-05-18,15.780000,15.870000,15.360000,15.420000,15.420000,32679400\n2012-05-21,16.000000,16.000000,15.100000,15.580000,15.580000,51145800\n2012-05-22,15.580000,15.610000,15.190000,15.290000,15.290000,33542000\n2012-05-23,15.190000,15.430000,15.140000,15.380000,15.380000,18115300\n2012-05-24,15.340000,15.510000,15.220000,15.350000,15.350000,13875600\n2012-05-25,15.400000,15.480000,15.280000,15.360000,15.360000,13629000\n2012-05-29,15.400000,15.550000,15.280000,15.470000,15.470000,18464900\n2012-05-30,15.300000,15.340000,15.160000,15.250000,15.250000,14924600\n2012-05-31,15.230000,15.370000,15.120000,15.240000,15.240000,17160000\n2012-06-01,15.040000,15.120000,14.850000,14.920000,14.920000,16196700\n2012-06-04,14.900000,15.030000,14.810000,15.010000,15.010000,15478000\n2012-06-05,15.000000,15.140000,14.910000,15.100000,15.100000,9725400\n2012-06-06,15.140000,15.410000,15.140000,15.360000,15.360000,18295500\n2012-06-07,15.470000,15.500000,15.330000,15.360000,15.360000,12635700\n2012-06-08,15.520000,15.680000,15.400000,15.650000,15.650000,16420600\n2012-06-11,15.730000,15.730000,15.270000,15.300000,15.300000,17145100\n2012-06-12,15.350000,15.520000,15.260000,15.470000,15.470000,17012500\n2012-06-13,15.470000,15.490000,15.270000,15.340000,15.340000,16454100\n2012-06-14,15.300000,15.460000,15.250000,15.360000,15.360000,11612700\n2012-06-15,15.440000,15.440000,15.330000,15.360000,15.360000,11716500\n2012-06-18,15.330000,15.540000,15.270000,15.490000,15.490000,9654000\n2012-06-19,15.520000,15.690000,15.510000,15.650000,15.650000,10635800\n2012-06-20,15.690000,15.750000,15.580000,15.740000,15.740000,11260700\n2012-06-21,15.740000,15.800000,15.470000,15.520000,15.520000,13102700\n2012-06-22,15.530000,15.700000,15.520000,15.610000,15.610000,11042700\n2012-06-25,15.510000,15.550000,15.310000,15.440000,15.440000,13383100\n2012-06-26,15.400000,15.470000,15.190000,15.350000,15.350000,13640400\n2012-06-27,15.410000,15.630000,15.380000,15.520000,15.520000,11261800\n2012-06-28,15.410000,15.480000,15.290000,15.450000,15.450000,12479200\n2012-06-29,15.610000,15.830000,15.530000,15.830000,15.830000,13501800\n2012-07-02,15.800000,15.940000,15.760000,15.840000,15.840000,7226600\n2012-07-03,15.830000,15.990000,15.820000,15.980000,15.980000,8148400\n2012-07-05,15.900000,15.990000,15.810000,15.850000,15.850000,11440800\n2012-07-06,15.800000,15.910000,15.680000,15.780000,15.780000,12151600\n2012-07-09,15.780000,15.840000,15.700000,15.750000,15.750000,10375900\n2012-07-10,15.830000,15.980000,15.710000,15.820000,15.820000,15933900\n2012-07-11,15.820000,15.940000,15.680000,15.800000,15.800000,16482300\n2012-07-12,15.630000,15.810000,15.540000,15.690000,15.690000,18390200\n2012-07-13,15.700000,15.840000,15.690000,15.740000,15.740000,11811600\n2012-07-16,15.690000,15.800000,15.600000,15.650000,15.650000,14982900\n2012-07-17,15.850000,15.890000,15.420000,15.600000,15.600000,30596300\n2012-07-18,15.640000,15.750000,15.510000,15.700000,15.700000,19270600\n2012-07-19,15.710000,15.860000,15.640000,15.730000,15.730000,15985300\n2012-07-20,15.750000,15.940000,15.680000,15.920000,15.920000,16919700\n2012-07-23,15.700000,15.810000,15.590000,15.760000,15.760000,14825800\n2012-07-24,15.740000,15.760000,15.230000,15.430000,15.430000,19733400\n2012-07-25,15.520000,15.640000,15.400000,15.500000,15.500000,15092000\n2012-07-26,15.690000,15.880000,15.620000,15.800000,15.800000,11033200\n2012-07-27,15.880000,16.170000,15.840000,16.110001,16.110001,14220800\n2012-07-30,16.150000,16.150000,15.900000,15.980000,15.980000,10187600\n2012-07-31,16.000000,16.059999,15.810000,15.840000,15.840000,13753800\n2012-08-01,15.860000,16.070000,15.830000,15.990000,15.990000,14008000\n2012-08-02,15.860000,16.000000,15.640000,15.750000,15.750000,12900500\n2012-08-03,15.890000,16.030001,15.820000,15.970000,15.970000,9140800\n2012-08-06,16.000000,16.070000,15.950000,16.040001,16.040001,8803900\n2012-08-07,16.090000,16.370001,16.070000,16.219999,16.219999,17281700\n2012-08-08,16.150000,16.320000,16.090000,16.170000,16.170000,7379000\n2012-08-09,16.160000,16.160000,15.980000,16.010000,16.010000,8613100\n2012-08-10,15.250000,15.350000,15.010000,15.150000,15.150000,61987300\n2012-08-13,15.030000,15.210000,15.000000,15.020000,15.020000,20849400\n2012-08-14,15.040000,15.050000,14.690000,14.730000,14.730000,29655200\n2012-08-15,14.770000,14.860000,14.650000,14.760000,14.760000,20682900\n2012-08-16,14.810000,15.010000,14.750000,14.990000,14.990000,24971900\n2012-08-17,15.020000,15.070000,14.850000,15.030000,15.030000,19640700\n2012-08-20,14.990000,15.050000,14.880000,14.960000,14.960000,11193900\n2012-08-21,14.950000,15.010000,14.880000,14.970000,14.970000,27934700\n2012-08-22,14.950000,14.990000,14.860000,14.920000,14.920000,9168400\n2012-08-23,14.900000,14.970000,14.820000,14.870000,14.870000,12463000\n2012-08-24,14.820000,14.940000,14.770000,14.920000,14.920000,8650400\n2012-08-27,14.920000,14.930000,14.770000,14.850000,14.850000,10054000\n2012-08-28,14.840000,14.870000,14.690000,14.720000,14.720000,12706400\n2012-08-29,14.730000,14.940000,14.700000,14.840000,14.840000,21113600\n2012-08-30,14.810000,14.840000,14.640000,14.670000,14.670000,10698800\n2012-08-31,14.790000,14.820000,14.590000,14.650000,14.650000,11619700\n2012-09-04,14.640000,14.980000,14.590000,14.890000,14.890000,18809200\n2012-09-05,14.860000,15.140000,14.850000,15.090000,15.090000,21118800\n2012-09-06,15.130000,15.150000,14.960000,15.110000,15.110000,18011600\n2012-09-07,15.120000,15.290000,15.100000,15.220000,15.220000,12988700\n2012-09-10,15.190000,15.280000,15.110000,15.110000,15.110000,10520100\n2012-09-11,15.090000,15.250000,15.060000,15.160000,15.160000,8036400\n2012-09-12,15.300000,15.550000,15.280000,15.400000,15.400000,22006000\n2012-09-13,15.380000,15.690000,15.370000,15.600000,15.600000,12136300\n2012-09-14,15.700000,15.840000,15.620000,15.770000,15.770000,17642600\n2012-09-17,15.810000,15.840000,15.630000,15.680000,15.680000,11697700\n2012-09-18,15.650000,16.170000,15.600000,15.910000,15.910000,42449600\n2012-09-19,15.960000,16.129999,15.840000,15.860000,15.860000,30681100\n2012-09-20,15.760000,15.860000,15.650000,15.790000,15.790000,18169800\n2012-09-21,15.720000,15.820000,15.660000,15.740000,15.740000,49167000\n2012-09-24,15.690000,16.040001,15.600000,16.000000,16.000000,23019900\n2012-09-25,16.090000,16.090000,15.670000,15.680000,15.680000,22966300\n2012-09-26,15.710000,15.810000,15.550000,15.610000,15.610000,12784100\n2012-09-27,15.900000,16.200001,15.790000,16.040001,16.040001,24416200\n2012-09-28,16.010000,16.090000,15.930000,15.980000,15.980000,19744300\n2012-10-01,16.000000,16.090000,15.770000,15.830000,15.830000,20601900\n2012-10-02,16.030001,16.040001,15.880000,15.940000,15.940000,13696700\n2012-10-03,16.000000,16.240000,15.990000,16.209999,16.209999,20399000\n2012-10-04,16.219999,16.350000,16.150000,16.270000,16.270000,17283900\n2012-10-05,16.270000,16.379999,16.090000,16.090000,16.090000,9240400\n2012-10-08,16.020000,16.160000,16.000000,16.030001,16.030001,11736700\n2012-10-09,16.030001,16.049999,15.810000,15.850000,15.850000,14110000\n2012-10-10,15.830000,15.990000,15.800000,15.830000,15.830000,14546300\n2012-10-11,15.940000,16.020000,15.840000,15.920000,15.920000,12973000\n2012-10-12,15.900000,16.020000,15.860000,15.880000,15.880000,12239100\n2012-10-15,15.850000,15.870000,15.650000,15.680000,15.680000,20786500\n2012-10-16,15.820000,15.980000,15.760000,15.920000,15.920000,20574100\n2012-10-17,15.850000,16.120001,15.830000,16.090000,16.090000,19570500\n2012-10-18,16.230000,16.240000,15.830000,16.000000,16.000000,26361000\n2012-10-19,16.000000,16.030001,15.830000,15.840000,15.840000,32893100\n2012-10-22,15.810000,15.950000,15.740000,15.770000,15.770000,32288000\n2012-10-23,16.530001,16.790001,16.260000,16.670000,16.670000,71575400\n2012-10-24,16.780001,16.799999,16.480000,16.549999,16.549999,25119700\n2012-10-25,16.719999,16.770000,16.490000,16.610001,16.610001,23080800\n2012-10-26,16.540001,16.820000,16.520000,16.790001,16.790001,23374200\n2012-10-31,16.809999,16.889999,16.600000,16.840000,16.840000,21058800\n2012-11-01,16.900000,17.049999,16.860001,16.950001,16.950001,19764900\n2012-11-02,17.000000,17.139999,16.950001,17.110001,17.110001,27568700\n2012-11-05,17.100000,17.430000,17.010000,17.370001,17.370001,31854300\n2012-11-06,17.440001,17.530001,17.320000,17.459999,17.459999,26321200\n2012-11-07,17.240000,17.559999,17.180000,17.389999,17.389999,24344200\n2012-11-08,17.299999,17.500000,17.230000,17.240000,17.240000,20322000\n2012-11-09,17.219999,17.520000,17.180000,17.260000,17.260000,23832100\n2012-11-12,17.180000,17.559999,17.170000,17.510000,17.510000,22361500\n2012-11-13,17.420000,17.850000,17.379999,17.850000,17.850000,29016900\n2012-11-14,17.900000,18.080000,17.750000,17.830000,17.830000,36398900\n2012-11-15,17.820000,18.160000,17.740000,17.889999,17.889999,35659000\n2012-11-16,17.910000,18.020000,17.760000,17.860001,17.860001,31014300\n2012-11-19,18.020000,18.370001,17.870001,18.360001,18.360001,32995900\n2012-11-20,18.440001,18.500000,18.190001,18.240000,18.240000,26228200\n2012-11-21,18.240000,18.500000,18.200001,18.400000,18.400000,19584800\n2012-11-23,18.500000,18.590000,18.400000,18.570000,18.570000,7714800\n2012-11-26,18.879999,19.000000,18.700001,18.760000,18.760000,34042700\n2012-11-27,18.870001,19.160000,18.799999,18.930000,18.930000,29330500\n2012-11-28,18.780001,18.950001,18.530001,18.910000,18.910000,30313200\n2012-11-29,18.950001,19.030001,18.850000,18.870001,18.870001,27259800\n2012-11-30,18.900000,18.950001,18.690001,18.770000,18.770000,24075300\n2012-12-03,18.549999,18.840000,18.340000,18.549999,18.549999,29603000\n2012-12-04,18.639999,18.959999,18.600000,18.930000,18.930000,30725600\n2012-12-05,18.980000,19.030001,18.770000,18.889999,18.889999,24739100\n2012-12-06,18.780001,19.280001,18.770000,19.200001,19.200001,25312800\n2012-12-07,19.160000,19.299999,19.059999,19.200001,19.200001,19159700\n2012-12-10,19.180000,19.469999,19.150000,19.430000,19.430000,24127800\n2012-12-11,19.530001,19.629999,19.430000,19.520000,19.520000,19049500\n2012-12-12,19.559999,19.600000,19.340000,19.379999,19.379999,22899200\n2012-12-13,19.440001,19.540001,19.260000,19.350000,19.350000,20454600\n2012-12-14,19.400000,19.719999,19.400000,19.639999,19.639999,19580400\n2012-12-17,19.719999,19.740000,19.530001,19.690001,19.690001,14760300\n2012-12-18,19.719999,19.760000,19.580000,19.620001,19.620001,17094600\n2012-12-19,19.590000,19.690001,19.580000,19.600000,19.600000,12351400\n2012-12-20,19.580000,19.709999,19.410000,19.690001,19.690001,24572800\n2012-12-21,19.490000,19.490000,19.230000,19.350000,19.350000,32727700\n2012-12-24,19.450001,19.660000,19.379999,19.650000,19.650000,11431500\n2012-12-26,19.700001,19.750000,19.520000,19.570000,19.570000,9376200\n2012-12-27,19.540001,19.670000,19.440001,19.600000,19.600000,13999400\n2012-12-28,19.440001,19.570000,19.280001,19.500000,19.500000,16667800\n2012-12-31,19.430000,19.969999,19.400000,19.900000,19.900000,20645100\n2013-01-02,20.200001,20.320000,20.010000,20.080000,20.080000,20463100\n2013-01-03,20.049999,20.100000,19.719999,19.780001,19.780001,19504400\n2013-01-04,19.760000,19.950001,19.719999,19.860001,19.860001,12489600\n2013-01-07,19.559999,19.580000,19.280001,19.400000,19.400000,23864500\n2013-01-08,19.320000,19.680000,19.299999,19.660000,19.660000,16931700\n2013-01-09,19.730000,19.750000,19.219999,19.320000,19.320000,21646700\n2013-01-10,19.190001,19.379999,18.930000,18.990000,18.990000,30647000\n2013-01-11,19.049999,19.379999,18.889999,19.290001,19.290001,21552200\n2013-01-14,19.330000,19.540001,19.250000,19.430000,19.430000,13828400\n2013-01-15,19.280001,19.540001,19.280001,19.520000,19.520000,16087600\n2013-01-16,19.910000,20.139999,19.620001,20.070000,20.070000,33291700\n2013-01-17,20.139999,20.209999,20.000000,20.129999,20.129999,14500600\n2013-01-18,20.070000,20.170000,19.969999,20.020000,20.020000,13535100\n2013-01-22,19.910000,19.950001,19.719999,19.900000,19.900000,13866900\n2013-01-23,19.980000,20.190001,19.910000,20.110001,20.110001,13857900\n2013-01-24,20.080000,20.520000,20.070000,20.440001,20.440001,13711400\n2013-01-25,20.430000,20.480000,20.230000,20.370001,20.370001,14954300\n2013-01-28,20.500000,20.500000,20.200001,20.309999,20.309999,39510100\n2013-01-29,20.870001,20.879999,19.680000,19.700001,19.700001,57652300\n2013-01-30,19.920000,20.120001,19.690001,20.120001,20.120001,36572300\n2013-01-31,19.920000,19.990000,19.570000,19.629999,19.629999,34973700\n2013-02-01,19.770000,19.830000,19.580000,19.760000,19.760000,27610600\n2013-02-04,19.760000,19.809999,19.309999,19.340000,19.340000,23906500\n2013-02-05,19.490000,19.780001,19.420000,19.660000,19.660000,13559800\n2013-02-06,19.629999,19.900000,19.590000,19.850000,19.850000,15392300\n2013-02-07,20.100000,20.430000,19.930000,20.320000,20.320000,24705600\n2013-02-08,20.379999,20.610001,20.299999,20.500000,20.500000,22249700\n2013-02-11,20.440001,20.980000,20.389999,20.900000,20.900000,22089900\n2013-02-12,20.940001,21.400000,20.889999,21.209999,21.209999,27750200\n2013-02-13,21.150000,21.430000,21.070000,21.150000,21.150000,18797900\n2013-02-14,21.100000,21.260000,21.059999,21.180000,21.180000,12817900\n2013-02-15,21.150000,21.250000,20.900000,21.020000,21.020000,12584000\n2013-02-19,21.030001,21.410000,20.969999,21.290001,21.290001,16665800\n2013-02-20,21.309999,21.450001,20.900000,20.920000,20.920000,14438900\n2013-02-21,20.920000,21.000000,20.740000,20.830000,20.830000,13296100\n2013-02-22,20.870001,21.309999,20.850000,21.219999,21.219999,13673300\n2013-02-25,21.260000,21.320000,20.719999,20.730000,20.730000,13334900\n2013-02-26,20.680000,20.850000,20.580000,20.760000,20.760000,14038200\n2013-02-27,20.809999,21.309999,20.690001,21.160000,21.160000,15697300\n2013-02-28,21.059999,21.570000,21.049999,21.309999,21.309999,18873700\n2013-03-01,21.360001,22.280001,21.260000,21.940001,21.940001,33776700\n2013-03-04,22.370001,22.740000,22.200001,22.700001,22.700001,30075300\n2013-03-05,22.910000,23.080000,22.610001,22.950001,22.950001,30497400\n2013-03-06,23.080000,23.090000,22.709999,22.799999,22.799999,15193900\n2013-03-07,22.920000,23.000000,22.650000,22.700001,22.700001,12881800\n2013-03-08,22.920000,22.959999,22.709999,22.900000,22.900000,10583500\n2013-03-11,22.799999,23.000000,22.570000,22.600000,22.600000,16489200\n2013-03-12,22.510000,22.580000,22.190001,22.400000,22.400000,12012300\n2013-03-13,22.480000,22.480000,22.160000,22.340000,22.340000,13956200\n2013-03-14,22.469999,22.750000,22.410000,22.430000,22.430000,12798500\n2013-03-15,22.340000,22.389999,21.969999,22.070000,22.070000,33557400\n2013-03-18,21.900000,22.170000,21.870001,22.010000,22.010000,15071700\n2013-03-19,22.059999,22.330000,21.889999,22.170000,22.170000,12846900\n2013-03-20,22.030001,22.330000,21.950001,22.100000,22.100000,18094100\n2013-03-21,22.389999,22.950001,22.360001,22.860001,22.860001,24719100\n2013-03-22,22.879999,23.260000,22.719999,23.260000,23.260000,18062100\n2013-03-25,23.410000,23.879999,23.309999,23.379999,23.379999,23138900\n2013-03-26,23.459999,23.620001,23.350000,23.590000,23.590000,16893200\n2013-03-27,23.540001,23.830000,23.410000,23.590000,23.590000,13943600\n2013-03-28,23.629999,23.770000,23.450001,23.530001,23.530001,17611900\n2013-04-01,23.309999,23.620001,23.190001,23.500000,23.500000,12344300\n2013-04-02,23.770000,23.900000,23.600000,23.780001,23.780001,14724800\n2013-04-03,23.780001,23.879999,23.240000,23.379999,23.379999,14934300\n2013-04-04,23.490000,23.719999,23.360001,23.520000,23.520000,12521200\n2013-04-05,23.180000,23.410000,23.010000,23.299999,23.299999,14243700\n2013-04-08,23.240000,23.480000,23.129999,23.480000,23.480000,9998100\n2013-04-09,23.559999,24.000000,23.440001,23.830000,23.830000,14773900\n2013-04-10,24.000000,24.320000,23.950001,24.200001,24.200001,17281900\n2013-04-11,24.410000,24.570000,24.309999,24.490000,24.490000,12362500\n2013-04-12,24.580000,24.799999,24.340000,24.690001,24.690001,13342800\n2013-04-15,24.719999,24.990000,23.830000,23.980000,23.980000,28129600\n2013-04-16,24.059999,24.260000,23.760000,23.790001,23.790001,30877500\n2013-04-17,23.450001,24.100000,23.129999,23.700001,23.700001,45148600\n2013-04-18,23.660000,23.700001,22.700001,23.260000,23.260000,25822300\n2013-04-19,23.120001,23.629999,22.830000,23.469999,23.469999,17860200\n2013-04-22,23.709999,23.959999,23.469999,23.950001,23.950001,15539700\n2013-04-23,23.959999,24.450001,23.959999,24.379999,24.379999,16718000\n2013-04-24,24.450001,24.969999,24.440001,24.750000,24.750000,15138800\n2013-04-25,24.930000,25.290001,24.879999,25.200001,25.200001,17289100\n2013-04-26,25.139999,25.370001,24.580000,24.680000,24.680000,19573300\n2013-04-29,24.850000,24.910000,24.350000,24.430000,24.430000,12533100\n2013-04-30,24.379999,24.790001,24.360001,24.730000,24.730000,10091200\n2013-05-01,24.670000,24.719999,24.260000,24.299999,24.299999,11075000\n2013-05-02,24.340000,24.969999,24.180000,24.969999,24.969999,10651000\n2013-05-03,25.129999,25.250000,24.990000,25.070000,25.070000,11513900\n2013-05-06,25.049999,25.340000,24.920000,25.170000,25.170000,11990500\n2013-05-07,26.010000,26.790001,25.549999,26.070000,26.070000,25883100\n2013-05-08,26.170000,26.660000,25.959999,26.410000,26.410000,24960800\n2013-05-09,26.410000,26.490000,26.139999,26.240000,26.240000,11186000\n2013-05-10,26.320000,26.860001,26.309999,26.830000,26.830000,16236400\n2013-05-13,26.760000,26.830000,26.360001,26.389999,26.389999,15808000\n2013-05-14,26.750000,26.870001,26.520000,26.639999,26.639999,14828200\n2013-05-15,26.629999,27.680000,26.549999,27.340000,27.340000,21956500\n2013-05-16,27.430000,27.430000,26.570000,26.580000,26.580000,18192300\n2013-05-17,26.780001,26.980000,26.459999,26.520000,26.520000,14889300\n2013-05-20,26.680000,27.049999,26.209999,26.580000,26.580000,25099100\n2013-05-21,26.900000,27.129999,26.719999,27.000000,27.000000,14889000\n2013-05-22,27.070000,27.190001,26.440001,26.540001,26.540001,16046200\n2013-05-23,25.950001,26.270000,25.700001,26.020000,26.020000,23307000\n2013-05-24,25.900000,26.480000,25.650000,26.330000,26.330000,14967100\n2013-05-28,26.650000,26.770000,25.980000,26.070000,26.070000,19015300\n2013-05-29,25.900000,26.040001,25.320000,25.809999,25.809999,18738900\n2013-05-30,25.830000,26.500000,25.799999,26.330000,26.330000,12916200\n2013-05-31,26.200001,26.600000,26.090000,26.299999,26.299999,23994200\n2013-06-03,26.370001,26.620001,26.129999,26.389999,26.389999,16454100\n2013-06-04,26.459999,26.570000,25.969999,26.260000,26.260000,13218300\n2013-06-05,26.110001,26.250000,25.690001,25.750000,25.750000,14270500\n2013-06-06,25.879999,26.209999,25.660000,26.209999,26.209999,13559000\n2013-06-07,26.389999,27.090000,26.280001,27.040001,27.040001,16948700\n2013-06-10,27.040001,27.120001,26.700001,26.740000,26.740000,15850700\n2013-06-11,26.430000,26.879999,26.320000,26.400000,26.400000,10097100\n2013-06-12,26.500000,26.530001,25.889999,25.889999,25.889999,11920800\n2013-06-13,25.790001,26.459999,25.709999,26.370001,26.370001,9763800\n2013-06-14,26.320000,26.549999,26.160000,26.280001,26.280001,7398800\n2013-06-17,26.290001,26.850000,26.240000,26.540001,26.540001,10289700\n2013-06-18,26.570000,26.889999,26.510000,26.660000,26.660000,9710700\n2013-06-19,26.600000,26.780001,26.230000,26.240000,26.240000,11398300\n2013-06-20,26.030001,26.049999,25.230000,25.350000,25.350000,19115500\n2013-06-21,25.290001,25.430000,24.940001,25.190001,25.190001,24574100\n2013-06-24,24.980000,25.090000,23.820000,24.070000,24.070000,37006200\n2013-06-25,24.290001,25.010000,24.230000,24.959999,24.959999,18883900\n2013-06-26,25.219999,25.680000,25.010000,25.290001,25.290001,12583100\n2013-06-27,25.469999,25.980000,25.440001,25.469999,25.469999,14489800\n2013-06-28,25.430000,25.540001,24.889999,25.129999,25.129999,26774300\n2013-07-01,25.260000,25.540001,25.180000,25.240000,25.240000,10679300\n2013-07-02,25.270000,25.500000,24.900000,24.990000,24.990000,10129600\n2013-07-03,24.840000,25.639999,24.820000,25.590000,25.590000,6059100\n2013-07-05,25.850000,26.260000,25.520000,25.680000,25.680000,11097500\n2013-07-08,25.719999,25.990000,25.490000,25.530001,25.530001,10478400\n2013-07-09,25.740000,26.700001,25.740000,26.680000,26.680000,17567800\n2013-07-10,26.879999,27.070000,26.190001,26.559999,26.559999,15103300\n2013-07-11,26.950001,27.190001,26.940001,27.040001,27.040001,17589800\n2013-07-12,27.080000,27.440001,27.010000,27.230000,27.230000,17315300\n2013-07-15,27.469999,27.469999,27.059999,27.340000,27.340000,16674800\n2013-07-16,27.299999,27.450001,26.730000,26.879999,26.879999,31375200\n2013-07-17,27.660000,29.730000,27.520000,29.660000,29.660000,83791400\n2013-07-18,29.570000,29.830000,28.730000,29.660000,29.660000,35025600\n2013-07-19,29.410000,29.719999,29.040001,29.110001,29.110001,20756900\n2013-07-22,28.080000,28.420000,27.629999,27.860001,27.860001,46046400\n2013-07-23,28.030001,28.040001,27.209999,27.360001,27.360001,25923400\n2013-07-24,27.540001,27.920000,27.230000,27.840000,27.840000,22739800\n2013-07-25,27.730000,28.459999,27.650000,28.270000,28.270000,20000600\n2013-07-26,28.000000,28.340000,27.740000,28.110001,28.110001,11918700\n2013-07-29,27.950001,28.330000,27.799999,27.930000,27.930000,11095100\n2013-07-30,28.090000,28.230000,27.860001,28.049999,28.049999,10337800\n2013-07-31,27.920000,28.209999,27.570000,28.090000,28.090000,20920100\n2013-08-01,28.350000,28.450001,27.910000,27.959999,27.959999,13157600\n2013-08-02,28.070000,28.090000,27.549999,27.650000,27.650000,11863400\n2013-08-05,27.709999,27.799999,27.450001,27.670000,27.670000,7839200\n2013-08-06,27.670000,27.750000,27.150000,27.320000,27.320000,10951100\n2013-08-07,27.309999,27.510000,27.059999,27.389999,27.389999,9450700\n2013-08-08,27.549999,27.620001,27.230000,27.480000,27.480000,8934400\n2013-08-09,27.410000,27.700001,27.200001,27.680000,27.680000,13051100\n2013-08-12,27.549999,28.370001,27.500000,28.350000,28.350000,16561900\n2013-08-13,28.379999,28.600000,28.230000,28.340000,28.340000,14891300\n2013-08-14,28.190001,28.209999,28.000000,28.049999,28.049999,8471400\n2013-08-15,27.830000,27.830000,27.120001,27.139999,27.139999,14217100\n2013-08-16,27.000000,27.600000,27.000000,27.320000,27.320000,14823400\n2013-08-19,27.270000,27.440001,26.910000,26.910000,26.910000,11876000\n2013-08-20,26.920000,27.309999,26.900000,27.120001,27.120001,10707200\n2013-08-21,27.090000,27.490000,27.000000,27.059999,27.059999,8791300\n2013-08-22,27.600000,28.010000,27.370001,27.900000,27.900000,15728600\n2013-08-23,28.299999,28.320000,27.809999,27.990000,27.990000,13192900\n2013-08-26,27.990000,28.040001,27.700001,27.700001,27.700001,9754400\n2013-08-27,27.240000,27.459999,26.750000,27.000000,27.000000,14549500\n2013-08-28,26.900000,27.240000,26.830000,27.110001,27.110001,9603100\n2013-08-29,27.030001,27.450001,27.030001,27.299999,27.299999,13911900\n2013-08-30,27.389999,27.440001,26.820000,27.120001,27.120001,16344400\n2013-09-03,27.379999,27.870001,27.370001,27.780001,27.780001,14591100\n2013-09-04,27.700001,28.120001,27.600000,28.070000,28.070000,8880500\n2013-09-05,28.100000,28.350000,27.910000,28.230000,28.230000,8989600\n2013-09-06,28.350000,28.500000,27.820000,28.170000,28.170000,10807500\n2013-09-09,28.320000,29.320000,28.320000,29.240000,29.240000,21178000\n2013-09-10,29.430000,29.629999,29.080000,29.480000,29.480000,13007600\n2013-09-11,29.379999,29.410000,28.969999,29.190001,29.190001,10374600\n2013-09-12,29.719999,30.270000,29.500000,29.650000,29.650000,22060700\n2013-09-13,29.469999,29.469999,28.799999,29.260000,29.260000,13836600\n2013-09-16,29.639999,30.040001,29.510000,29.620001,29.620001,15748700\n2013-09-17,29.639999,30.000000,29.309999,30.000000,30.000000,10499700\n2013-09-18,30.010000,30.459999,29.850000,30.440001,30.440001,15570600\n2013-09-19,30.530001,31.049999,30.340000,31.030001,31.030001,12795100\n2013-09-20,31.049999,31.100000,30.760000,30.930000,30.930000,14925400\n2013-09-23,31.030001,31.030001,30.020000,30.260000,30.260000,15728900\n2013-09-24,30.549999,31.660000,30.540001,31.270000,31.270000,27820600\n2013-09-25,31.400000,32.029999,31.120001,31.340000,31.340000,19146600\n2013-09-26,31.650000,33.000000,31.580000,32.750000,32.750000,39233700\n2013-09-27,33.330002,33.849998,32.759998,33.549999,33.549999,31791600\n2013-09-30,33.040001,33.750000,32.680000,33.169998,33.169998,30065800\n2013-10-01,33.360001,34.439999,33.299999,34.310001,34.310001,28180900\n2013-10-02,34.150002,34.700001,33.900002,34.139999,34.139999,21637400\n2013-10-03,34.320000,34.360001,33.200001,33.880001,33.880001,23263900\n2013-10-04,33.959999,35.060001,33.959999,34.889999,34.889999,23950200\n2013-10-07,34.459999,34.689999,34.080002,34.139999,34.139999,15448700\n2013-10-08,34.459999,34.500000,32.099998,32.930000,32.930000,42914600\n2013-10-09,33.070000,33.330002,31.790001,33.009998,33.009998,33509700\n2013-10-10,33.490002,33.910000,33.330002,33.869999,33.869999,23448100\n2013-10-11,33.669998,34.369999,33.610001,34.150002,34.150002,17012300\n2013-10-14,33.799999,34.099998,33.680000,34.000000,34.000000,17614000\n2013-10-15,34.200001,34.320000,33.060001,33.380001,33.380001,42773900\n2013-10-16,33.900002,34.110001,32.830002,33.090000,33.090000,44820000\n2013-10-17,32.880001,33.009998,32.310001,32.740002,32.740002,25229700\n2013-10-18,33.169998,33.750000,33.110001,33.430000,33.430000,24622900\n2013-10-21,33.650002,34.349998,33.650002,34.060001,34.060001,17776700\n2013-10-22,34.240002,34.599998,33.580002,33.939999,33.939999,17549100\n2013-10-23,33.759998,33.840000,33.020000,33.099998,33.099998,15931700\n2013-10-24,33.160000,33.310001,32.810001,33.080002,33.080002,15086700\n2013-10-25,32.310001,32.950001,32.000000,32.250000,32.250000,22290000\n2013-10-28,32.090000,32.700001,31.700001,32.349998,32.349998,18325700\n2013-10-29,33.070000,34.000000,32.820000,33.169998,33.169998,29349200\n2013-10-30,33.330002,33.480000,32.380001,32.570000,32.570000,14292300\n2013-10-31,32.430000,33.119999,32.279999,32.939999,32.939999,15301900\n2013-11-01,33.150002,33.349998,33.000000,33.180000,33.180000,15201400\n2013-11-04,33.200001,33.660000,33.009998,33.189999,33.189999,15778500\n2013-11-05,33.029999,33.080002,32.549999,32.970001,32.970001,13471100\n2013-11-06,33.070000,33.299999,32.709999,32.880001,32.880001,10826400\n2013-11-07,32.990002,33.049999,32.060001,32.110001,32.110001,16861300\n2013-11-08,32.230000,33.119999,32.200001,33.119999,33.119999,15082800\n2013-11-11,33.570000,33.990002,33.250000,33.820000,33.820000,15846800\n2013-11-12,34.000000,34.520000,33.880001,34.070000,34.070000,18227600\n2013-11-13,33.820000,35.119999,33.630001,35.099998,35.099998,21359400\n2013-11-14,35.070000,35.889999,34.759998,35.689999,35.689999,21411400\n2013-11-15,35.799999,35.939999,35.299999,35.470001,35.470001,15615700\n2013-11-18,35.650002,36.189999,34.509998,34.980000,34.980000,19070000\n2013-11-19,35.029999,35.169998,34.509998,34.630001,34.630001,14955300\n2013-11-20,35.430000,36.220001,35.220001,35.619999,35.619999,32439800\n2013-11-21,36.230000,36.660000,36.220001,36.299999,36.299999,26425000\n2013-11-22,36.189999,36.630001,35.959999,36.490002,36.490002,13247500\n2013-11-25,36.779999,36.849998,35.959999,36.290001,36.290001,15159800\n2013-11-26,36.320000,36.750000,36.110001,36.639999,36.639999,10458300\n2013-11-27,36.700001,37.119999,36.509998,36.959999,36.959999,10427500\n2013-11-29,36.910000,37.349998,36.900002,36.980000,36.980000,6455400\n2013-12-02,37.040001,37.150002,36.680000,37.009998,37.009998,11573000\n2013-12-03,36.770000,37.070000,36.340000,36.560001,36.560001,14098300\n2013-12-04,36.470001,38.150002,36.250000,38.130001,38.130001,26139700\n2013-12-05,38.240002,39.310001,38.049999,38.869999,38.869999,27662000\n2013-12-06,39.240002,39.279999,38.529999,38.860001,38.860001,22215000\n2013-12-09,39.130001,39.200001,38.570000,38.869999,38.869999,14386300\n2013-12-10,38.919998,40.250000,38.919998,40.220001,40.220001,25479700\n2013-12-11,39.900002,40.160000,38.919998,39.160000,39.160000,20915200\n2013-12-12,39.020000,40.000000,39.000000,39.349998,39.349998,16184600\n2013-12-13,39.610001,40.200001,39.560001,39.730000,39.730000,13773700\n2013-12-16,39.970001,40.270000,39.599998,39.730000,39.730000,11439100\n2013-12-17,39.990002,40.000000,39.400002,39.509998,39.509998,9842000\n2013-12-18,39.529999,40.040001,38.820000,40.040001,40.040001,16844000\n2013-12-19,40.040001,40.380001,39.910000,40.200001,40.200001,10710200\n2013-12-20,40.389999,40.599998,40.110001,40.119999,40.119999,24637200\n2013-12-23,40.250000,40.799999,40.130001,40.770000,40.770000,7447900\n2013-12-24,40.910000,40.950001,40.660000,40.849998,40.849998,5113900\n2013-12-26,41.000000,41.049999,40.220001,40.650002,40.650002,7364600\n2013-12-27,40.720001,40.750000,40.320000,40.490002,40.490002,6138700\n2013-12-30,40.459999,40.580002,39.849998,40.200001,40.200001,8676800\n2013-12-31,40.169998,40.500000,40.000000,40.439999,40.439999,8291400\n2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200\n2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200\n2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500\n2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000\n2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200\n2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300\n2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700\n2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200\n2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900\n2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500\n2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200\n2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500\n2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400\n2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600\n2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300\n2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000\n2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000\n2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300\n2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500\n2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700\n2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400\n2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200\n2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500\n2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900\n2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000\n2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500\n2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900\n2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000\n2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500\n2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100\n2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800\n2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400\n2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900\n2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900\n2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900\n2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900\n2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900\n2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900\n2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400\n2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100\n2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700\n2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400\n2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800\n2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700\n2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500\n2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200\n2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300\n2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700\n2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700\n2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300\n2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300\n2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700\n2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600\n2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000\n2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200\n2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000\n2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100\n2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800\n2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600\n2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900\n2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200\n2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000\n2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800\n2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800\n2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900\n2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200\n2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100\n2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200\n2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900\n2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700\n2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600\n2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400\n2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100\n2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700\n2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400\n2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200\n2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700\n2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300\n2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600\n2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200\n2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000\n2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500\n2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700\n2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100\n2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100\n2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000\n2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700\n2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700\n2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400\n2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600\n2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100\n2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000\n2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800\n2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100\n2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700\n2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700\n2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500\n2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800\n2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400\n2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000\n2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500\n2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800\n2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000\n2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900\n2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500\n2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100\n2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800\n2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200\n2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000\n2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300\n2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500\n2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100\n2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300\n2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300\n2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900\n2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000\n2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000\n2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800\n2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400\n2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800\n2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400\n2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000\n2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600\n2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100\n2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600\n2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600\n2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900\n2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800\n2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900\n2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900\n2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800\n2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500\n2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500\n2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600\n2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600\n2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900\n2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900\n2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000\n2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600\n2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500\n2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000\n2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800\n2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200\n2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900\n2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700\n2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400\n2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000\n2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200\n2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400\n2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500\n2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600\n2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700\n2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100\n2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700\n2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300\n2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300\n2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900\n2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200\n2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900\n2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300\n2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900\n2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100\n2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400\n2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800\n2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000\n2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600\n2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100\n2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300\n2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900\n2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300\n2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400\n2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200\n2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000\n2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800\n2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000\n2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500\n2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900\n2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700\n2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500\n2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100\n2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100\n2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100\n2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300\n2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100\n2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500\n2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200\n2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300\n2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500\n2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900\n2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400\n2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700\n2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100\n2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300\n2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500\n2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600\n2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500\n2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900\n2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000\n2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500\n2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500\n2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000\n2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400\n2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200\n2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900\n2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400\n2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800\n2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500\n2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300\n2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100\n2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600\n2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800\n2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500\n2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500\n2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500\n2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000\n2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700\n2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300\n2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300\n2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700\n2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200\n2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700\n2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800\n2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300\n2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000\n2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000\n2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000\n2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500\n2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600\n2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500\n2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700\n2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900\n2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600\n2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000\n2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700\n2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100\n2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100\n2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600\n2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100\n2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200\n2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500\n2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500\n2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300\n2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300\n2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900\n2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200\n2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100\n2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000\n2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900\n2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700\n2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500\n2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500\n2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000\n2015-01-02,50.660000,50.779999,49.470001,50.169998,50.169998,11924500\n2015-01-05,49.709999,49.880001,48.910000,49.130001,49.130001,14389300\n2015-01-06,49.200001,49.880001,48.330002,49.209999,49.209999,16204300\n2015-01-07,49.619999,49.639999,48.509998,48.590000,48.590000,11788000\n2015-01-08,48.990002,50.230000,48.720001,50.230000,50.230000,14704800\n2015-01-09,50.279999,50.410000,49.619999,49.720001,49.720001,7462800\n2015-01-12,49.919998,49.930000,48.560001,48.799999,48.799999,10170700\n2015-01-13,49.150002,49.480000,47.400002,48.299999,48.299999,21605200\n2015-01-14,47.700001,48.090000,47.070000,47.509998,47.509998,15911600\n2015-01-15,47.540001,47.750000,46.200001,46.230000,46.230000,17126000\n2015-01-16,46.060001,46.590000,45.849998,46.470001,46.470001,14681800\n2015-01-20,46.790001,47.889999,46.770000,47.630001,47.630001,15780000\n2015-01-21,47.599998,48.380001,47.320000,48.180000,48.180000,16305100\n2015-01-22,48.430000,49.080002,48.009998,48.889999,48.889999,12647400\n2015-01-23,48.740002,49.230000,48.630001,48.950001,48.950001,14206100\n2015-01-26,49.570000,49.790001,49.070000,49.439999,49.439999,18976400\n2015-01-27,49.139999,49.279999,47.660000,47.990002,47.990002,45777200\n2015-01-28,49.799999,50.320000,46.299999,46.459999,46.459999,84839700\n2015-01-29,43.560001,43.799999,41.799999,43.730000,43.730000,74370100\n2015-01-30,43.750000,44.849998,43.509998,43.990002,43.990002,36033600\n2015-02-02,44.430000,44.759998,43.880001,44.689999,44.689999,20305700\n2015-02-03,45.099998,45.250000,44.380001,44.700001,44.700001,16944100\n2015-02-04,44.799999,44.980000,43.880001,44.049999,44.049999,16281400\n2015-02-05,44.080002,44.259998,43.029999,43.549999,43.549999,18414500\n2015-02-06,43.570000,43.660000,42.669998,42.939999,42.939999,16005100\n2015-02-09,42.610001,43.150002,42.540001,42.570000,42.570000,15507600\n2015-02-10,42.900002,43.180000,42.660000,43.070000,43.070000,12160800\n2015-02-11,43.180000,43.259998,42.759998,42.959999,42.959999,9791100\n2015-02-12,43.070000,44.160000,42.860001,43.930000,43.930000,18158200\n2015-02-13,44.119999,44.590000,44.000000,44.419998,44.419998,13785800\n2015-02-17,44.369999,44.540001,43.349998,43.529999,43.529999,12798400\n2015-02-18,43.560001,43.820000,43.299999,43.650002,43.650002,10355900\n2015-02-19,43.650002,44.419998,43.500000,44.369999,44.369999,13301000\n2015-02-20,44.299999,44.360001,43.759998,44.110001,44.110001,12036200\n2015-02-23,43.990002,43.990002,43.419998,43.529999,43.529999,12129100\n2015-02-24,43.450001,43.520000,42.910000,43.380001,43.380001,9778000\n2015-02-25,43.209999,44.720001,43.209999,44.430000,44.430000,17922900\n2015-02-26,44.599998,44.759998,44.259998,44.450001,44.450001,9223800\n2015-02-27,44.380001,44.570000,44.049999,44.279999,44.279999,10044200\n2015-03-02,44.060001,44.430000,43.700001,44.110001,44.110001,11027300\n2015-03-03,43.700001,43.950001,42.419998,42.619999,42.619999,22392400\n2015-03-04,42.080002,44.380001,41.970001,43.990002,43.990002,30024800\n2015-03-05,44.180000,44.310001,43.500000,44.160000,44.160000,11867700\n2015-03-06,43.980000,44.240002,43.400002,43.439999,43.439999,11888000\n2015-03-09,43.599998,43.930000,42.669998,42.980000,42.980000,11801900\n2015-03-10,42.570000,42.919998,42.180000,42.680000,42.680000,10526300\n2015-03-11,42.770000,42.990002,42.360001,42.500000,42.500000,10007300\n2015-03-12,42.700001,43.360001,42.580002,42.950001,42.950001,8384800\n2015-03-13,42.840000,42.980000,42.439999,42.869999,42.869999,9087000\n2015-03-16,42.930000,43.880001,42.750000,43.509998,43.509998,11376400\n2015-03-17,43.540001,44.160000,43.459999,43.790001,43.790001,9636300\n2015-03-18,43.580002,44.709999,43.430000,44.669998,44.669998,18825000\n2015-03-19,44.900002,45.450001,44.810001,44.980000,44.980000,14758000\n2015-03-20,45.369999,45.580002,44.910000,45.040001,45.040001,14194200\n2015-03-23,45.250000,45.540001,44.709999,44.720001,44.720001,8244400\n2015-03-24,44.639999,44.779999,44.279999,44.419998,44.419998,7559100\n2015-03-25,44.590000,44.930000,44.130001,44.200001,44.200001,14036900\n2015-03-26,43.779999,44.669998,43.680000,44.470001,44.470001,16162900\n2015-03-27,45.200001,45.669998,45.009998,45.099998,45.099998,20520400\n2015-03-30,45.360001,45.419998,44.820000,44.950001,44.950001,8884300\n2015-03-31,44.820000,45.200001,44.419998,44.439999,44.439999,10415500\n2015-04-01,44.450001,44.599998,43.950001,44.130001,44.130001,14683300\n2015-04-02,44.240002,44.360001,43.680000,44.150002,44.150002,12229400\n2015-04-06,43.820000,44.029999,43.610001,43.669998,43.669998,10717000\n2015-04-07,43.790001,44.220001,43.560001,43.610001,43.610001,11382000\n2015-04-08,43.860001,45.189999,43.799999,45.169998,45.169998,16071000\n2015-04-09,45.700001,46.169998,45.160000,45.630001,45.630001,13678000\n2015-04-10,45.790001,45.790001,45.000000,45.180000,45.180000,8436400\n2015-04-13,45.250000,45.590000,44.720001,44.770000,44.770000,8837300\n2015-04-14,44.820000,45.639999,44.790001,45.529999,45.529999,12342900\n2015-04-15,45.459999,45.830002,45.230000,45.730000,45.730000,15039600\n2015-04-16,45.820000,46.130001,45.529999,45.779999,45.779999,13833100\n2015-04-17,45.299999,45.439999,44.250000,44.450001,44.450001,13591600\n2015-04-20,44.730000,44.910000,44.410000,44.660000,44.660000,10052900\n2015-04-21,45.150002,45.180000,44.450001,44.490002,44.490002,18617900\n2015-04-22,44.580002,44.849998,43.669998,43.980000,43.980000,32284300\n2015-04-23,43.919998,44.060001,43.580002,43.700001,43.700001,14298900\n2015-04-24,43.730000,44.709999,43.689999,44.520000,44.520000,11281100\n2015-04-27,44.650002,45.099998,44.250000,44.360001,44.360001,10855400\n2015-04-28,44.340000,44.570000,43.939999,44.340000,44.340000,7197100\n2015-04-29,43.880001,44.049999,43.090000,43.279999,43.279999,12712600\n2015-04-30,43.119999,43.310001,42.259998,42.570000,42.570000,14257900\n2015-05-01,42.549999,42.680000,42.090000,42.509998,42.509998,10467600\n2015-05-04,42.500000,42.549999,41.830002,42.040001,42.040001,14483800\n2015-05-05,41.860001,42.000000,40.810001,41.299999,41.299999,19377100\n2015-05-06,41.310001,41.730000,41.209999,41.660000,41.660000,13976300\n2015-05-07,44.930000,44.980000,43.549999,43.869999,43.869999,28213800\n2015-05-08,44.340000,44.549999,44.000000,44.090000,44.090000,15750200\n2015-05-11,43.820000,44.139999,43.590000,43.599998,43.599998,11509600\n2015-05-12,44.299999,44.310001,43.689999,43.840000,43.840000,14264800\n2015-05-13,44.029999,44.669998,43.980000,44.400002,44.400002,10987200\n2015-05-14,44.529999,44.990002,44.450001,44.950001,44.950001,10301800\n2015-05-15,45.000000,45.070000,44.689999,44.750000,44.750000,7768600\n2015-05-18,44.520000,44.570000,44.040001,44.360001,44.360001,8278800\n2015-05-19,44.380001,44.660000,39.119999,40.980000,40.980000,45363900\n2015-05-20,42.279999,43.040001,42.160000,42.790001,42.790001,54530800\n2015-05-21,43.060001,43.869999,43.049999,43.680000,43.680000,30404300\n2015-05-22,43.580002,44.000000,43.470001,43.490002,43.490002,10279400\n2015-05-26,43.410000,43.500000,42.580002,42.849998,42.849998,12796000\n2015-05-27,42.599998,43.439999,42.279999,43.380001,43.380001,13686500\n2015-05-28,43.060001,43.419998,42.930000,43.070000,43.070000,9414000\n2015-05-29,43.450001,43.590000,42.810001,42.939999,42.939999,10901500\n2015-06-01,43.049999,43.630001,42.910000,43.349998,43.349998,11152900\n2015-06-02,43.180000,43.619999,42.919998,43.150002,43.150002,8863900\n2015-06-03,43.299999,43.779999,42.980000,43.209999,43.209999,11893400\n2015-06-04,43.090000,43.439999,42.759998,42.880001,42.880001,10033400\n2015-06-05,42.830002,43.259998,42.700001,42.810001,42.810001,9831100\n2015-06-08,42.720001,42.889999,42.000000,42.009998,42.009998,7596300\n2015-06-09,41.919998,41.950001,41.020000,41.630001,41.630001,11995200\n2015-06-10,41.700001,42.310001,41.689999,42.060001,42.060001,7943800\n2015-06-11,42.090000,42.209999,40.549999,40.939999,40.939999,23695000\n2015-06-12,40.770000,41.110001,40.459999,40.529999,40.529999,9232700\n2015-06-15,40.240002,40.669998,40.209999,40.470001,40.470001,10876300\n2015-06-16,40.349998,41.400002,40.020000,40.639999,40.639999,20454500\n2015-06-17,40.799999,41.520000,40.779999,40.959999,40.959999,11943100\n2015-06-18,41.040001,41.270000,40.790001,40.910000,40.910000,10017600\n2015-06-19,40.900002,40.930000,40.369999,40.509998,40.509998,11661500\n2015-06-22,40.660000,40.889999,40.540001,40.730000,40.730000,6141500\n2015-06-23,40.740002,40.799999,40.509998,40.650002,40.650002,6860600\n2015-06-24,40.680000,41.230000,40.580002,40.939999,40.939999,11462200\n2015-06-25,41.099998,41.389999,40.900002,41.070000,41.070000,10776200\n2015-06-26,40.830002,40.869999,39.930000,40.060001,40.060001,16430900\n2015-06-29,39.490002,39.779999,38.849998,38.910000,38.910000,12481300\n2015-06-30,39.389999,39.650002,39.189999,39.290001,39.290001,11258300\n2015-07-01,39.459999,39.779999,39.150002,39.330002,39.330002,6398400\n2015-07-02,39.259998,39.639999,39.189999,39.380001,39.380001,7713000\n2015-07-06,38.759998,39.119999,38.459999,38.610001,38.610001,11803400\n2015-07-07,38.240002,38.380001,36.580002,38.230000,38.230000,19432500\n2015-07-08,37.200001,37.490002,36.939999,37.230000,37.230000,20529200\n2015-07-09,38.230000,38.680000,37.520000,37.610001,37.610001,16909400\n2015-07-10,38.349998,38.419998,37.779999,37.919998,37.919998,10057600\n2015-07-13,38.250000,38.799999,38.099998,38.759998,38.759998,8713200\n2015-07-14,38.650002,39.029999,38.439999,38.630001,38.630001,9506500\n2015-07-15,38.509998,38.799999,38.150002,38.380001,38.380001,9147300\n2015-07-16,38.700001,38.959999,38.599998,38.910000,38.910000,8462400\n2015-07-17,39.189999,39.790001,38.930000,39.680000,39.680000,14864300\n2015-07-20,39.980000,39.980000,39.259998,39.540001,39.540001,14752100\n2015-07-21,39.610001,39.849998,39.349998,39.730000,39.730000,14861600\n2015-07-22,38.570000,39.630001,38.259998,39.240002,39.240002,17714800\n2015-07-23,39.299999,39.779999,39.060001,39.209999,39.209999,9267400\n2015-07-24,39.580002,39.580002,38.669998,38.849998,38.849998,8590700\n2015-07-27,38.310001,38.310001,37.650002,37.840000,37.840000,12942700\n2015-07-28,37.639999,37.919998,37.270000,37.720001,37.720001,10333100\n2015-07-29,37.919998,37.919998,37.380001,37.669998,37.669998,10290600\n2015-07-30,37.500000,37.689999,37.299999,37.419998,37.419998,9542700\n2015-07-31,37.560001,37.570000,36.619999,36.669998,36.669998,15446100\n2015-08-03,36.669998,36.980000,36.369999,36.689999,36.689999,9887300\n2015-08-04,36.610001,37.209999,36.599998,37.119999,37.119999,9051900\n2015-08-05,37.320000,37.709999,37.230000,37.250000,37.250000,6844000\n2015-08-06,37.340000,37.520000,36.299999,36.459999,36.459999,12299700\n2015-08-07,36.520000,36.759998,36.150002,36.669998,36.669998,11845500\n2015-08-10,36.869999,37.689999,36.869999,37.150002,37.150002,11351400\n2015-08-11,36.740002,36.770000,35.730000,36.029999,36.029999,13677300\n2015-08-12,34.290001,34.770000,33.849998,34.490002,34.490002,31405700\n2015-08-13,35.080002,36.610001,34.820000,35.930000,35.930000,28987700\n2015-08-14,35.820000,36.349998,35.720001,36.240002,36.240002,12238300\n2015-08-17,36.240002,36.240002,35.770000,36.099998,36.099998,7933600\n2015-08-18,35.779999,36.189999,35.599998,35.689999,35.689999,11445300\n2015-08-19,35.669998,35.669998,35.029999,35.189999,35.189999,8976700\n2015-08-20,34.770000,34.950001,33.869999,34.099998,34.099998,15604400\n2015-08-21,33.580002,34.020000,32.910000,32.930000,32.930000,18373600\n2015-08-24,29.020000,32.279999,29.000000,31.309999,31.309999,23163400\n2015-08-25,32.980000,33.029999,31.540001,31.740000,31.740000,15752300\n2015-08-26,32.459999,32.619999,31.110001,32.520000,32.520000,25414500\n2015-08-27,33.360001,33.770000,32.950001,33.689999,33.689999,19105100\n2015-08-28,33.320000,33.570000,32.930000,33.139999,33.139999,9366100\n2015-08-31,32.910000,32.990002,32.230000,32.240002,32.240002,13575100\n2015-09-01,31.490000,32.099998,31.230000,31.600000,31.600000,19903500\n2015-09-02,32.009998,32.029999,31.379999,31.770000,31.770000,15688100\n2015-09-03,31.860001,32.740002,31.799999,32.540001,32.540001,13748900\n2015-09-04,32.000000,32.290001,31.440001,31.580000,31.580000,13854100\n2015-09-08,32.200001,32.830002,30.860001,30.900000,30.900000,26873900\n2015-09-09,30.400000,31.799999,30.350000,31.520000,31.520000,46957000\n2015-09-10,31.350000,31.590000,31.030001,31.150000,31.150000,14330900\n2015-09-11,31.090000,31.430000,30.629999,31.430000,31.430000,14365400\n2015-09-14,30.680000,30.920000,30.000000,30.320000,30.320000,22186900\n2015-09-15,29.719999,31.230000,29.410000,31.040001,31.040001,25637600\n2015-09-16,31.139999,31.770000,30.990000,31.400000,31.400000,22179700\n2015-09-17,31.309999,31.330000,30.809999,30.930000,30.930000,17094200\n2015-09-18,30.510000,30.799999,30.410000,30.740000,30.740000,20144700\n2015-09-21,31.200001,31.740000,30.879999,31.170000,31.170000,18745000\n2015-09-22,30.780001,30.920000,30.170000,30.400000,30.400000,15614900\n2015-09-23,30.559999,30.570000,29.629999,29.740000,29.740000,12755400\n2015-09-24,29.469999,29.570000,28.850000,29.340000,29.340000,19109900\n2015-09-25,29.660000,29.709999,28.910000,29.129999,29.129999,12817500\n2015-09-28,29.030001,29.219999,27.200001,27.600000,27.600000,49541300\n2015-09-29,28.580000,29.230000,27.850000,28.260000,28.260000,41895400\n2015-09-30,28.650000,29.110001,28.490000,28.910000,28.910000,17861800\n2015-10-01,28.950001,29.000000,28.440001,28.910000,28.910000,14467600\n2015-10-02,28.620001,30.709999,28.430000,30.709999,30.709999,29250500\n2015-10-05,30.799999,31.200001,30.350000,30.850000,30.850000,12883300\n2015-10-06,30.790001,31.190001,30.660000,30.959999,30.959999,10572800\n2015-10-07,31.309999,31.990000,31.209999,31.870001,31.870001,12224800\n2015-10-08,31.790001,32.500000,31.730000,32.369999,32.369999,14245400\n2015-10-09,32.349998,32.689999,31.990000,32.520000,32.520000,11830400\n2015-10-12,32.709999,33.020000,32.549999,32.860001,32.860001,12580300\n2015-10-13,32.560001,32.830002,32.320000,32.340000,32.340000,15873800\n2015-10-14,32.279999,32.490002,31.770000,32.090000,32.090000,11282800\n2015-10-15,32.419998,33.490002,32.400002,33.480000,33.480000,19403800\n2015-10-16,33.639999,33.860001,33.160000,33.369999,33.369999,12498900\n2015-10-19,33.259998,33.630001,33.180000,33.500000,33.500000,10856500\n2015-10-20,33.490002,33.590000,32.770000,32.830002,32.830002,18644700\n2015-10-21,32.060001,32.430000,31.010000,31.120001,31.120001,30390400\n2015-10-22,31.260000,31.900000,31.209999,31.670000,31.670000,18501200\n2015-10-23,32.650002,33.360001,32.240002,33.169998,33.169998,24308600\n2015-10-26,33.130001,33.490002,33.000000,33.400002,33.400002,15810300\n2015-10-27,34.970001,35.470001,33.880001,34.299999,34.299999,26380900\n2015-10-28,34.299999,35.270000,34.299999,35.189999,35.189999,15174300\n2015-10-29,34.869999,35.150002,34.700001,35.049999,35.049999,10788300\n2015-10-30,35.139999,35.700001,35.049999,35.619999,35.619999,17418900\n2015-11-02,35.459999,35.480000,35.070000,35.270000,35.270000,15206700\n2015-11-03,35.150002,35.340000,34.650002,34.720001,34.720001,12394300\n2015-11-04,34.889999,35.240002,34.750000,35.070000,35.070000,17495900\n2015-11-05,35.020000,35.299999,34.160000,35.119999,35.119999,15679100\n2015-11-06,34.939999,35.200001,33.459999,34.200001,34.200001,16608600\n2015-11-09,34.070000,34.080002,33.080002,33.680000,33.680000,13645500\n2015-11-10,33.450001,34.130001,33.259998,33.990002,33.990002,11511000\n2015-11-11,34.209999,34.230000,33.029999,33.380001,33.380001,11804100\n2015-11-12,33.200001,33.849998,33.130001,33.230000,33.230000,14273100\n2015-11-13,32.779999,33.040001,32.169998,32.189999,32.189999,11063300\n2015-11-16,32.230000,32.990002,32.119999,32.950001,32.950001,11087800\n2015-11-17,33.009998,33.119999,32.619999,32.860001,32.860001,10270400\n2015-11-18,32.889999,33.020000,32.320000,32.980000,32.980000,11105600\n2015-11-19,33.209999,33.500000,32.580002,32.630001,32.630001,14222100\n2015-11-20,32.860001,33.299999,32.689999,33.110001,33.110001,12498500\n2015-11-23,33.000000,33.869999,32.869999,33.360001,33.360001,11899700\n2015-11-24,33.090000,33.189999,32.610001,32.959999,32.959999,13364700\n2015-11-25,32.770000,33.520000,32.750000,33.160000,33.160000,13257200\n2015-11-27,32.790001,33.090000,32.439999,32.939999,32.939999,5316100\n2015-11-30,33.029999,33.830002,32.849998,33.810001,33.810001,17534700\n2015-12-01,33.869999,33.889999,33.470001,33.709999,33.709999,11020400\n2015-12-02,35.000000,36.389999,34.770000,35.650002,35.650002,56708100\n2015-12-03,35.590000,35.720001,34.099998,34.340000,34.340000,17080500\n2015-12-04,34.340000,35.200001,34.180000,34.910000,34.910000,16109600\n2015-12-07,34.759998,34.919998,34.470001,34.680000,34.680000,12047900\n2015-12-08,34.240002,34.980000,34.029999,34.849998,34.849998,19852600\n2015-12-09,35.799999,35.840000,33.150002,34.400002,34.400002,45101900\n2015-12-10,34.490002,34.730000,33.910000,34.630001,34.630001,16128800\n2015-12-11,34.009998,34.150002,32.820000,32.910000,32.910000,14936200\n2015-12-14,32.939999,33.270000,32.209999,32.590000,32.590000,15949600\n2015-12-15,32.529999,33.389999,32.500000,33.029999,33.029999,16187300\n2015-12-16,33.150002,33.880001,32.910000,33.779999,33.779999,12689400\n2015-12-17,33.810001,34.080002,33.110001,33.230000,33.230000,13243500\n2015-12-18,33.099998,33.630001,32.869999,32.950001,32.950001,16921800\n2015-12-21,33.119999,33.299999,32.689999,32.970001,32.970001,9106700\n2015-12-22,32.990002,34.209999,32.970001,34.189999,34.189999,15521100\n2015-12-23,34.240002,34.580002,33.990002,34.450001,34.450001,13469200\n2015-12-24,34.189999,34.740002,34.099998,34.110001,34.110001,3470700\n2015-12-28,33.900002,33.910000,33.349998,33.599998,33.599998,10869100\n2015-12-29,33.630001,34.169998,33.599998,34.040001,34.040001,12621900\n2015-12-30,33.849998,34.040001,33.349998,33.369999,33.369999,5933500\n2015-12-31,33.220001,33.689999,33.180000,33.259998,33.259998,7423300\n"
  },
  {
    "path": "datas/yhoo-2003-2005.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400\n2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600\n2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400\n2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600\n2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600\n2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400\n2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600\n2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600\n2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600\n2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000\n2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400\n2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600\n2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600\n2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600\n2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400\n2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400\n2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600\n2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800\n2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800\n2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000\n2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000\n2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600\n2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400\n2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800\n2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000\n2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200\n2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400\n2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800\n2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000\n2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800\n2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600\n2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400\n2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400\n2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000\n2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200\n2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400\n2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200\n2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400\n2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600\n2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000\n2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600\n2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000\n2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000\n2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200\n2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200\n2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800\n2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800\n2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400\n2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400\n2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000\n2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000\n2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000\n2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000\n2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600\n2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200\n2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000\n2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400\n2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800\n2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400\n2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600\n2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200\n2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200\n2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400\n2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400\n2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200\n2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400\n2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000\n2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400\n2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000\n2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000\n2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000\n2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400\n2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600\n2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000\n2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800\n2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200\n2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000\n2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600\n2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800\n2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400\n2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400\n2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800\n2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600\n2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000\n2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600\n2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600\n2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200\n2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200\n2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000\n2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200\n2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200\n2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400\n2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400\n2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200\n2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400\n2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400\n2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400\n2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600\n2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200\n2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600\n2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200\n2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800\n2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800\n2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600\n2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400\n2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000\n2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800\n2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200\n2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400\n2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600\n2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800\n2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000\n2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000\n2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000\n2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600\n2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800\n2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200\n2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800\n2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200\n2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600\n2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600\n2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600\n2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200\n2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200\n2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600\n2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800\n2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600\n2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200\n2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200\n2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200\n2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800\n2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000\n2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600\n2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200\n2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000\n2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600\n2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200\n2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800\n2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400\n2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400\n2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000\n2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800\n2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800\n2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200\n2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800\n2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000\n2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200\n2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200\n2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200\n2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000\n2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600\n2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000\n2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400\n2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200\n2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400\n2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400\n2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000\n2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800\n2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600\n2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200\n2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000\n2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000\n2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800\n2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400\n2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800\n2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400\n2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400\n2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000\n2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600\n2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200\n2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800\n2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600\n2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200\n2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200\n2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000\n2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400\n2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400\n2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600\n2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000\n2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800\n2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800\n2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000\n2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600\n2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000\n2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000\n2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000\n2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600\n2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000\n2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400\n2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000\n2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800\n2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400\n2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000\n2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600\n2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800\n2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200\n2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800\n2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800\n2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600\n2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800\n2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000\n2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600\n2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400\n2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000\n2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400\n2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600\n2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000\n2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600\n2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800\n2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800\n2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000\n2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400\n2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800\n2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200\n2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200\n2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600\n2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200\n2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600\n2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800\n2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200\n2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600\n2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400\n2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800\n2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000\n2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400\n2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200\n2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000\n2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800\n2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600\n2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200\n2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000\n2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400\n2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400\n2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800\n2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000\n2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600\n2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000\n2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400\n2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000\n2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800\n2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000\n2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600\n2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600\n2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800\n2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800\n2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400\n2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800\n2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400\n2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400\n2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400\n2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200\n2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600\n2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000\n2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800\n2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800\n2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000\n2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200\n2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400\n2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400\n2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400\n2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200\n2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800\n2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600\n2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000\n2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800\n2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000\n2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400\n2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000\n2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800\n2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200\n2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200\n2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400\n2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400\n2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400\n2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400\n2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400\n2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600\n2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600\n2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800\n2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200\n2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000\n2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400\n2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800\n2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000\n2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800\n2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000\n2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400\n2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200\n2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000\n2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200\n2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600\n2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200\n2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200\n2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400\n2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400\n2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600\n2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600\n2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200\n2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600\n2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800\n2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800\n2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200\n2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800\n2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200\n2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200\n2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000\n2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600\n2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400\n2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400\n2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000\n2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800\n2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600\n2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400\n2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800\n2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000\n2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600\n2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400\n2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800\n2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600\n2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800\n2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800\n2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600\n2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400\n2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400\n2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600\n2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800\n2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800\n2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200\n2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000\n2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200\n2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400\n2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600\n2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400\n2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400\n2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600\n2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200\n2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800\n2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000\n2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600\n2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000\n2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600\n2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400\n2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100\n2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800\n2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900\n2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900\n2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700\n2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100\n2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200\n2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000\n2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900\n2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100\n2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100\n2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100\n2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800\n2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700\n2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600\n2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900\n2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800\n2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200\n2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200\n2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900\n2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700\n2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900\n2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000\n2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800\n2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700\n2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400\n2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400\n2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600\n2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700\n2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000\n2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800\n2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200\n2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200\n2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100\n2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400\n2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300\n2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900\n2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600\n2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700\n2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600\n2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900\n2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300\n2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700\n2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000\n2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300\n2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300\n2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500\n2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300\n2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400\n2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300\n2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500\n2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200\n2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700\n2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300\n2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700\n2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800\n2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200\n2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500\n2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000\n2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200\n2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700\n2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700\n2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300\n2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300\n2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400\n2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600\n2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800\n2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300\n2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500\n2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700\n2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400\n2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400\n2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100\n2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000\n2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500\n2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700\n2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700\n2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100\n2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700\n2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700\n2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200\n2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200\n2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800\n2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500\n2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400\n2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600\n2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900\n2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100\n2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000\n2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200\n2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500\n2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800\n2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100\n2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600\n2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800\n2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200\n2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700\n2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900\n2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300\n2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100\n2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400\n2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000\n2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700\n2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700\n2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400\n2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000\n2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300\n2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600\n2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500\n2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400\n2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600\n2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900\n2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000\n2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200\n2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300\n2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700\n2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100\n2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200\n2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500\n2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900\n2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400\n2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500\n2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300\n2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100\n2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500\n2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800\n2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400\n2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100\n2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200\n2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100\n2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100\n2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100\n2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000\n2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600\n2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100\n2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000\n2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200\n2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900\n2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100\n2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100\n2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800\n2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500\n2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900\n2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500\n2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900\n2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800\n2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700\n2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700\n2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600\n2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500\n2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500\n2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300\n2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900\n2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400\n2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500\n2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700\n2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500\n2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800\n2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000\n2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200\n2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700\n2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600\n2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800\n2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300\n2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100\n2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300\n2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300\n2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800\n2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900\n2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700\n2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500\n2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700\n2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600\n2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200\n2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100\n2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000\n2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400\n2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400\n2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500\n2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800\n2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700\n2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200\n2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600\n2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200\n2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400\n2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200\n2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900\n2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500\n2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100\n2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400\n2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800\n2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300\n2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900\n2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200\n2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500\n2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100\n2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600\n2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100\n2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300\n2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900\n2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400\n2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500\n2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200\n2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100\n2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800\n2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200\n2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300\n2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400\n2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200\n2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800\n2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000\n2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800\n2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000\n2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200\n2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400\n2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400\n2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600\n2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100\n2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000\n2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400\n2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700\n2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900\n2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000\n2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400\n2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300\n2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900\n2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000\n2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000\n2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300\n2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500\n2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900\n2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100\n2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300\n2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500\n2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200\n2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500\n2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400\n2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600\n2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800\n2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600\n2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200\n2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300\n2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300\n2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100\n2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500\n2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800\n2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900\n2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300\n2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200\n2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700\n2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000\n2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100\n2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700\n2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900\n2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900\n2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400\n2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000\n2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100\n2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900\n2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200\n2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300\n2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100\n2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700\n2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600\n2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300\n2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800\n2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700\n2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300\n2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000\n2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300\n2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100\n2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100\n2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900\n2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300\n2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200\n2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900\n2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700\n2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800\n2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200\n2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200\n2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100\n2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700\n2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200\n2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700\n2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200\n2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900\n2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500\n2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600\n2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700\n2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700\n2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300\n2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400\n2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000\n2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800\n2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500\n2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200\n2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200\n2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300\n2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500\n2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300\n2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500\n2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500\n2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600\n2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200\n2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500\n2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600\n2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100\n2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100\n2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900\n2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600\n2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400\n2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800\n2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200\n2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400\n2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900\n2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900\n2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100\n2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500\n2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100\n2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700\n2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200\n2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400\n2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400\n2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700\n2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500\n2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900\n2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400\n2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600\n2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000\n2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500\n2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500\n2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000\n2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300\n2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300\n2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400\n2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900\n2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300\n2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600\n2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400\n2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800\n2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300\n2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900\n2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900\n2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000\n2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400\n2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700\n2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200\n2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900\n2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800\n2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100\n2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000\n2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500\n2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000\n2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000\n2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100\n2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200\n2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800\n2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700\n2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600\n2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600\n2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200\n2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600\n2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300\n2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000\n2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000\n2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400\n2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900\n2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100\n2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600\n2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000\n2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800\n2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100\n2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100\n2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200\n2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800\n2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100\n2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700\n2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400\n2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600\n2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400\n2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400\n2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500\n2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600\n2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600\n2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000\n2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600\n2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500\n2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500\n2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000\n2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000\n2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900\n2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200\n2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700\n2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600\n2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400\n2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400\n2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800\n2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900\n2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600\n2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900\n2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300\n2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700\n2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200\n2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800\n2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000\n2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700\n2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500\n2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900\n2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300\n2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200\n2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900\n2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900\n2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600\n2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000\n"
  },
  {
    "path": "datas/yhoo-2014.txt",
    "content": "Date,Open,High,Low,Close,Adj Close,Volume\n2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200\n2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200\n2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500\n2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000\n2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200\n2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300\n2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700\n2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200\n2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900\n2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500\n2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200\n2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500\n2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400\n2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600\n2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300\n2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000\n2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000\n2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300\n2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500\n2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700\n2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400\n2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200\n2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500\n2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900\n2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000\n2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500\n2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900\n2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000\n2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500\n2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100\n2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800\n2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400\n2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900\n2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900\n2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900\n2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900\n2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900\n2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900\n2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400\n2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100\n2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700\n2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400\n2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800\n2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700\n2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500\n2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200\n2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300\n2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700\n2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700\n2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300\n2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300\n2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700\n2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600\n2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000\n2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200\n2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000\n2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100\n2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800\n2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600\n2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900\n2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200\n2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000\n2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800\n2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800\n2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900\n2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200\n2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100\n2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200\n2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900\n2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700\n2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600\n2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400\n2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100\n2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700\n2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400\n2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200\n2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700\n2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300\n2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600\n2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200\n2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000\n2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500\n2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700\n2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100\n2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100\n2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000\n2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700\n2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700\n2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400\n2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600\n2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100\n2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000\n2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800\n2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100\n2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700\n2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700\n2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500\n2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800\n2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400\n2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000\n2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500\n2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800\n2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000\n2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900\n2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500\n2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100\n2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800\n2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200\n2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000\n2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300\n2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500\n2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100\n2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300\n2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300\n2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900\n2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000\n2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000\n2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800\n2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400\n2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800\n2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400\n2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000\n2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600\n2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100\n2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600\n2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600\n2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900\n2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800\n2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900\n2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900\n2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800\n2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500\n2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500\n2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600\n2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600\n2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900\n2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900\n2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000\n2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600\n2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500\n2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000\n2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800\n2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200\n2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900\n2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700\n2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400\n2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000\n2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200\n2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400\n2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500\n2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600\n2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700\n2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100\n2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700\n2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300\n2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300\n2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900\n2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200\n2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900\n2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300\n2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900\n2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100\n2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400\n2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800\n2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000\n2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600\n2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100\n2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300\n2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900\n2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300\n2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400\n2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200\n2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000\n2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800\n2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000\n2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500\n2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900\n2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700\n2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500\n2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100\n2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100\n2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100\n2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300\n2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100\n2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500\n2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200\n2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300\n2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500\n2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900\n2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400\n2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700\n2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100\n2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300\n2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500\n2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600\n2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500\n2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900\n2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000\n2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500\n2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500\n2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000\n2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400\n2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200\n2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900\n2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400\n2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800\n2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500\n2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300\n2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100\n2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600\n2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800\n2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500\n2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500\n2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500\n2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000\n2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700\n2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300\n2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300\n2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700\n2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200\n2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700\n2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800\n2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300\n2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000\n2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000\n2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000\n2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500\n2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600\n2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500\n2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700\n2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900\n2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600\n2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000\n2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700\n2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100\n2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100\n2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600\n2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100\n2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200\n2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500\n2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500\n2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300\n2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300\n2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900\n2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200\n2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100\n2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000\n2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900\n2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700\n2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500\n2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500\n2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000\n"
  },
  {
    "path": "pypi.sh",
    "content": "#!/bin/sh\n#\n# Generate pypi wheels universal package and upload\n#\nrm dist/*\npython setup.py bdist_wheel --universal\ntwine upload dist/*\n"
  },
  {
    "path": "samples/analyzer-annualreturn/analyzer-annualreturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nfrom backtrader.analyzers import (SQN, AnnualReturn, TimeReturn, SharpeRatio,\n                                  TradeAnalyzer)\n\n\nclass LongShortStrategy(bt.Strategy):\n    '''This strategy buys/sells upong the close price crossing\n    upwards/downwards a Simple Moving Average.\n\n    It can be a long-only strategy by setting the param \"onlylong\" to True\n    '''\n    params = dict(\n        period=15,\n        stake=1,\n        printout=False,\n        onlylong=False,\n        csvcross=False,\n    )\n\n    def start(self):\n        pass\n\n    def stop(self):\n        pass\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = None\n\n        # Create SMA on 2nd data\n        sma = btind.MovAv.SMA(self.data, period=self.p.period)\n        # Create a CrossOver Signal from close an moving average\n        self.signal = btind.CrossOver(self.data.close, sma)\n        self.signal.csv = self.p.csvcross\n\n    def next(self):\n        if self.orderid:\n            return  # if an order is active, no new orders are allowed\n\n        if self.signal > 0.0:  # cross upwards\n            if self.position:\n                self.log('CLOSE SHORT , %.2f' % self.data.close[0])\n                self.close()\n\n            self.log('BUY CREATE , %.2f' % self.data.close[0])\n            self.buy(size=self.p.stake)\n\n        elif self.signal < 0.0:\n            if self.position:\n                self.log('CLOSE LONG , %.2f' % self.data.close[0])\n                self.close()\n\n            if not self.p.onlylong:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n                self.sell(size=self.p.stake)\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.orderid = None\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %\n                     (trade.pnl, trade.pnlcomm))\n\n        elif trade.justopened:\n            self.log('TRADE OPENED, SIZE %2d' % trade.size)\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add the strategy\n    cerebro.addstrategy(LongShortStrategy,\n                        period=args.period,\n                        onlylong=args.onlylong,\n                        csvcross=args.csvcross,\n                        stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.comm,\n                                 mult=args.mult,\n                                 margin=args.margin)\n\n    tframes = dict(\n        days=bt.TimeFrame.Days,\n        weeks=bt.TimeFrame.Weeks,\n        months=bt.TimeFrame.Months,\n        years=bt.TimeFrame.Years)\n\n    # Add the Analyzers\n    cerebro.addanalyzer(SQN)\n    if args.legacyannual:\n        cerebro.addanalyzer(AnnualReturn)\n        cerebro.addanalyzer(SharpeRatio, legacyannual=True)\n    else:\n        cerebro.addanalyzer(TimeReturn, timeframe=tframes[args.tframe])\n        cerebro.addanalyzer(SharpeRatio, timeframe=tframes[args.tframe])\n\n    cerebro.addanalyzer(TradeAnalyzer)\n\n    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)\n\n    # And run it\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='TimeReturn')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--onlylong', '-ol', action='store_true',\n                        help='Do only long operations')\n\n    parser.add_argument('--writercsv', '-wcsv', action='store_true',\n                        help='Tell the writer to produce a csv stream')\n\n    parser.add_argument('--csvcross', action='store_true',\n                        help='Output the CrossOver signals to CSV')\n\n    group = parser.add_mutually_exclusive_group()\n    group.add_argument('--tframe', default='years', required=False,\n                       choices=['days', 'weeks', 'months', 'years'],\n                       help='TimeFrame for the returns/Sharpe calculations')\n\n    group.add_argument('--legacyannual', action='store_true',\n                       help='Use legacy annual return analyzer')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--comm', default=2, type=float,\n                        help='Commission for operation')\n\n    parser.add_argument('--mult', default=10, type=int,\n                        help='Multiplier for futures')\n\n    parser.add_argument('--margin', default=2000.0, type=float,\n                        help='Margin for each future')\n\n    parser.add_argument('--stake', default=1, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/bidask-to-ohlc/bidask-to-ohlc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,)\n#                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\n\nclass St(bt.Strategy):\n    def next(self):\n        print(','.join(str(x) for x in [\n            self.data.datetime.datetime(),\n            self.data.open[0], self.data.high[0],\n            self.data.high[0], self.data.close[0],\n            self.data.volume[0]]))\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n\n    data = btfeeds.GenericCSVData(\n        dataname=args.data,\n        dtformat='%d/%m/%y',\n        # tmformat='%H%M%S',  # already the default value\n        # datetime=0,  # position at default\n        time=1,  # position of time\n        open=5,  # position of open\n        high=5,\n        low=5,\n        close=5,\n        volume=7,\n        openinterest=-1,  # -1 for not present\n        timeframe=bt.TimeFrame.Ticks)\n\n    cerebro.resampledata(data,\n                         timeframe=bt.TimeFrame.Ticks,\n                         compression=args.compression)\n\n    cerebro.addstrategy(St)\n\n    cerebro.run()\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='BidAsk to OHLC')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/bidask2.csv',\n                        help='Data file to be read in')\n\n    parser.add_argument('--compression', required=False, default=2, type=int,\n                        help='How much to compress the bars')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help='Plot the vars')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/bracket/bracket.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        ma=bt.ind.SMA,\n        p1=5,\n        p2=15,\n        limit=0.005,\n        limdays=3,\n        limdays2=1000,\n        hold=10,\n        usebracket=False,  # use order_target_size\n        switchp1p2=False,  # switch prices of order1 and order2\n    )\n\n    def notify_order(self, order):\n        print('{}: Order ref: {} / Type {} / Status {}'.format(\n            self.data.datetime.date(0),\n            order.ref, 'Buy' * order.isbuy() or 'Sell',\n            order.getstatusname()))\n\n        if order.status == order.Completed:\n            self.holdstart = len(self)\n\n        if not order.alive() and order.ref in self.orefs:\n            self.orefs.remove(order.ref)\n\n    def __init__(self):\n        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)\n        self.cross = bt.ind.CrossOver(ma1, ma2)\n\n        self.orefs = list()\n\n        if self.p.usebracket:\n            print('-' * 5, 'Using buy_bracket')\n\n    def next(self):\n        if self.orefs:\n            return  # pending orders do nothing\n\n        if not self.position:\n            if self.cross > 0.0:  # crossing up\n\n                close = self.data.close[0]\n                p1 = close * (1.0 - self.p.limit)\n                p2 = p1 - 0.02 * close\n                p3 = p1 + 0.02 * close\n\n                valid1 = datetime.timedelta(self.p.limdays)\n                valid2 = valid3 = datetime.timedelta(self.p.limdays2)\n\n                if self.p.switchp1p2:\n                    p1, p2 = p2, p1\n                    valid1, valid2 = valid2, valid1\n\n                if not self.p.usebracket:\n                    o1 = self.buy(exectype=bt.Order.Limit,\n                                  price=p1,\n                                  valid=valid1,\n                                  transmit=False)\n\n                    print('{}: Oref {} / Buy at {}'.format(\n                        self.datetime.date(), o1.ref, p1))\n\n                    o2 = self.sell(exectype=bt.Order.Stop,\n                                   price=p2,\n                                   valid=valid2,\n                                   parent=o1,\n                                   transmit=False)\n\n                    print('{}: Oref {} / Sell Stop at {}'.format(\n                        self.datetime.date(), o2.ref, p2))\n\n                    o3 = self.sell(exectype=bt.Order.Limit,\n                                   price=p3,\n                                   valid=valid3,\n                                   parent=o1,\n                                   transmit=True)\n\n                    print('{}: Oref {} / Sell Limit at {}'.format(\n                        self.datetime.date(), o3.ref, p3))\n\n                    self.orefs = [o1.ref, o2.ref, o3.ref]\n\n                else:\n                    os = self.buy_bracket(\n                        price=p1, valid=valid1,\n                        stopprice=p2, stopargs=dict(valid=valid2),\n                        limitprice=p3, limitargs=dict(valid=valid3),)\n\n                    self.orefs = [o.ref for o in os]\n\n        else:  # in the market\n            if (len(self) - self.holdstart) >= self.p.hold:\n                pass  # do nothing in this case\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/btfd/btfd.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# References:\n#  - https://www.reddit.com/r/algotrading/comments/5jez2b/can_anyone_replicate_this_strategy/\n#  - http://dark-bid.com/BTFD-only-strategy-that-matters.html\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass ValueUnlever(bt.observers.Value):\n    '''Extension of regular Value observer to add leveraged view'''\n    lines = ('value_lever', 'asset')\n    params = (('assetstart', 100000.0), ('lever', True),)\n\n    def next(self):\n        super(ValueUnlever, self).next()\n        if self.p.lever:\n            self.lines.value_lever[0] = self._owner.broker._valuelever\n\n        if len(self) == 1:\n            self.lines.asset[0] = self.p.assetstart\n        else:\n            change = self.data[0] / self.data[-1]\n            self.lines.asset[0] = change * self.lines.asset[-1]\n\n\nclass St(bt.Strategy):\n    params = (\n        ('fall', -0.01),\n        ('hold', 2),\n        ('approach', 'highlow'),\n        ('target', 1.0),\n        ('prorder', False),\n        ('prtrade', False),\n        ('prdata', False),\n    )\n\n    def __init__(self):\n        if self.p.approach == 'closeclose':\n            self.pctdown = self.data.close / self.data.close(-1) - 1.0\n        elif self.p.approach == 'openclose':\n            self.pctdown = self.data.close / self.data.open - 1.0\n        elif self.p.approach == 'highclose':\n            self.pctdown = self.data.close / self.data.high - 1.0\n        elif self.p.approach == 'highlow':\n            self.pctdown = self.data.low / self.data.high - 1.0\n\n    def next(self):\n        if self.position:\n            if len(self) == self.barexit:\n                self.close()\n                if self.p.prdata:\n                    print(','.join(str(x) for x in\n                                   ['DATA', 'CLOSE',\n                                    self.data.datetime.date().isoformat(),\n                                    self.data.close[0],\n                                    float('NaN')]))\n        else:\n            if self.pctdown <= self.p.fall:\n                self.order_target_percent(target=self.p.target)\n                self.barexit = len(self) + self.p.hold\n\n                if self.p.prdata:\n                    print(','.join(str(x) for x in\n                                   ['DATA', 'OPEN',\n                                    self.data.datetime.date().isoformat(),\n                                    self.data.close[0],\n                                    self.pctdown[0]]))\n\n    def start(self):\n        if self.p.prtrade:\n            print(','.join(\n                ['TRADE', 'Status', 'Date', 'Value', 'PnL', 'Commission']))\n        if self.p.prorder:\n            print(','.join(\n                ['ORDER', 'Type', 'Date', 'Price', 'Size', 'Commission']))\n        if self.p.prdata:\n            print(','.join(['DATA', 'Action', 'Date', 'Price', 'PctDown']))\n\n    def notify_order(self, order):\n        if order.status in [order.Margin, order.Rejected, order.Canceled]:\n            print('ORDER FAILED with status:', order.getstatusname())\n        elif order.status == order.Completed:\n            if self.p.prorder:\n                print(','.join(map(str, [\n                    'ORDER', 'BUY' * order.isbuy() or 'SELL',\n                    self.data.num2date(order.executed.dt).date().isoformat(),\n                    order.executed.price,\n                    order.executed.size,\n                    order.executed.comm,\n                ]\n                )))\n\n    def notify_trade(self, trade):\n        if not self.p.prtrade:\n            return\n\n        if trade.isclosed:\n            print(','.join(map(str, [\n                'TRADE', 'CLOSE',\n                self.data.num2date(trade.dtclose).date().isoformat(),\n                trade.value,\n                trade.pnl,\n                trade.commission,\n            ]\n            )))\n        elif trade.justopened:\n            print(','.join(map(str, [\n                'TRADE', 'OPEN',\n                self.data.num2date(trade.dtopen).date().isoformat(),\n                trade.value,\n                trade.pnl,\n                trade.commission,\n            ]\n            )))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        kwargs[d] = datetime.datetime.strptime(a, dtfmt + tmfmt * ('T' in a))\n\n    if not args.offline:\n        YahooData = bt.feeds.YahooFinanceData\n    else:\n        YahooData = bt.feeds.YahooFinanceCSVData\n\n    # Data feed - no plot - observer will do the job\n    data = YahooData(dataname=args.data, plot=False, **kwargs)\n    cerebro.adddata(data)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Add a commission\n    cerebro.broker.setcommission(**eval('dict(' + args.comminfo + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Add specific observer\n    cerebro.addobserver(ValueUnlever, **eval('dict(' + args.valobserver + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(' - '.join([\n            'BTFD',\n            'http://dark-bid.com/BTFD-only-strategy-that-matters.html',\n            ('https://www.reddit.com/r/algotrading/comments/5jez2b/'\n             'can_anyone_replicate_this_strategy/')]))\n        )\n\n    parser.add_argument('--offline', required=False, action='store_true',\n                        help='Use offline file with ticker name')\n\n    parser.add_argument('--data', required=False, default='^GSPC',\n                        metavar='TICKER', help='Yahoo ticker to download')\n\n    parser.add_argument('--fromdate', required=False, default='1990-01-01',\n                        metavar='YYYY-MM-DD[THH:MM:SS]',\n                        help='Starting date[time]')\n\n    parser.add_argument('--todate', required=False, default='2016-10-01',\n                        metavar='YYYY-MM-DD[THH:MM:SS]',\n                        help='Ending date[time]')\n\n    parser.add_argument('--cerebro', required=False, default='stdstats=False',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False,\n                        default='cash=100000.0, coc=True',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--valobserver', required=False,\n                        default='assetstart=100000.0',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False,\n                        default='approach=\"highlow\"',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--comminfo', required=False, default='leverage=2.0',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='volume=False',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/calendar-days/calendar-days.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.indicators as btind\nimport backtrader.feeds as btfeeds\nimport backtrader.filters as btfilters\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    if args.calendar:\n        if args.fprice is not None:\n            args.fprice = float(args.fprice)\n\n        data.addfilter(\n            btfilters.CalendarDays,\n            fill_price=args.fprice,\n            fill_vol=args.fvol)\n\n    # Add the resample data instead of the original\n    cerebro.adddata(data)\n\n    # Add a simple moving average if requirested\n    if args.sma:\n        cerebro.addindicator(btind.SMA, period=args.period)\n\n    # Add a writer with CSV\n    if args.writer:\n        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(style='bar', numfigs=args.numfigs, volume=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Calendar Days Filter Sample')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--calendar', '-cal', required=False,\n                        action='store_true',\n                        help='Add a CalendarDays filter')\n\n    parser.add_argument('--fprice', required=False, default=None,\n                        help='Use as fill for price (None for previous close)')\n\n    parser.add_argument('--fvol', required=False, default=0.0,\n                        type=float,\n                        help='Use as fill volume for missing bar (def: 0.0)')\n\n    parser.add_argument('--sma', required=False,\n                        action='store_true',\n                        help='Add a Simple Moving Average')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--writer', '-w', action='store_true',\n                        help='Add a writer to cerebro')\n\n    parser.add_argument('--wrcsv', '-wc', action='store_true',\n                        help='Enable CSV Output in the writer')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/calmar/calmar-test.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.SignalStrategy):\n    params = (\n    )\n\n    def __init__(self):\n        ma1, ma2, = bt.ind.SMA(period=15), bt.ind.SMA(period=50)\n        self.signal_add(bt.signal.SIGNAL_LONG, bt.ind.CrossOver(ma1, ma2))\n\n    def next2(self):\n        pass\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    cerebro.addanalyzer(bt.analyzers.Calmar)\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    st0 = cerebro.run(**eval('dict(' + args.cerebro + ')'))[0]\n    i = 1\n    for k, v in st0.analyzers.calmar.get_analysis().items():\n        print(i, ': '.join((str(k), str(v))))\n        i += 1\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/orcl-1995-2014.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/cheat-on-open/cheat-on-open.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        periods=[10, 30],\n        matype=bt.ind.SMA,\n    )\n\n    def __init__(self):\n        self.cheating = self.cerebro.p.cheat_on_open\n        mas = [self.p.matype(period=x) for x in self.p.periods]\n        self.signal = bt.ind.CrossOver(*mas)\n        self.order = None\n\n    def notify_order(self, order):\n        if order.status != order.Completed:\n            return\n\n        self.order = None\n        print('{} {} Executed at price {}'.format(\n            bt.num2date(order.executed.dt).date(),\n            'Buy' * order.isbuy() or 'Sell', order.executed.price)\n        )\n\n    def operate(self, fromopen):\n        if self.order is not None:\n            return\n        if self.position:\n            if self.signal < 0:\n                self.order = self.close()\n        elif self.signal > 0:\n            print('{} Send Buy, fromopen {}, close {}'.format(\n                self.data.datetime.date(),\n                fromopen, self.data.close[0])\n            )\n            self.order = self.buy()\n\n    def next(self):\n        print('{} next, open {} close {}'.format(\n            self.data.datetime.date(),\n            self.data.open[0], self.data.close[0])\n        )\n\n        if self.cheating:\n            return\n        self.operate(fromopen=False)\n\n    def next_open(self):\n        if not self.cheating:\n            return\n        self.operate(fromopen=True)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Cheat-On-Open Sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/commission-schemes/commission-schemes.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass SMACrossOver(bt.Strategy):\n    params = (\n        ('stake', 1),\n        ('period', 30),\n    )\n\n    def log(self, txt, dt=None):\n        ''' Logging function fot this strategy'''\n        dt = dt or self.datas[0].datetime.date(0)\n        print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [order.Submitted, order.Accepted]:\n            # Buy/Sell order submitted/accepted to/by broker - Nothing to do\n            return\n\n        # Check if an order has been completed\n        # Attention: broker could reject order if not enougth cash\n        if order.status in [order.Completed, order.Canceled, order.Margin]:\n            if order.isbuy():\n                self.log(\n                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                    (order.executed.price,\n                     order.executed.value,\n                     order.executed.comm))\n            else:  # Sell\n                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                         (order.executed.price,\n                          order.executed.value,\n                          order.executed.comm))\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %\n                     (trade.pnl, trade.pnlcomm))\n\n    def __init__(self):\n        sma = btind.SMA(self.data, period=self.p.period)\n        # > 0 crossing up / < 0 crossing down\n        self.buysell_sig = btind.CrossOver(self.data, sma)\n\n    def next(self):\n        if self.buysell_sig > 0:\n            self.log('BUY CREATE, %.2f' % self.data.close[0])\n            self.buy(size=self.p.stake)  # keep order ref to avoid 2nd orders\n\n        elif self.position and self.buysell_sig < 0:\n            self.log('SELL CREATE, %.2f' % self.data.close[0])\n            self.sell(size=self.p.stake)\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add a strategy\n    cerebro.addstrategy(SMACrossOver, period=args.period, stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    commtypes = dict(\n        none=None,\n        perc=bt.CommInfoBase.COMM_PERC,\n        fixed=bt.CommInfoBase.COMM_FIXED)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.comm,\n                                 mult=args.mult,\n                                 margin=args.margin,\n                                 percabs=not args.percrel,\n                                 commtype=commtypes[args.commtype],\n                                 stocklike=args.stocklike)\n\n    # And run it\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Commission schemes',\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,)\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--stake', default=1, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--period', default=30, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--cash', default=10000.0, type=float,\n                        help='Starting Cash')\n\n    parser.add_argument('--comm', default=2.0, type=float,\n                        help=('Commission factor for operation, either a'\n                              'percentage or a per stake unit absolute value'))\n\n    parser.add_argument('--mult', default=10, type=int,\n                        help='Multiplier for operations calculation')\n\n    parser.add_argument('--margin', default=2000.0, type=float,\n                        help='Margin for futures-like operations')\n\n    parser.add_argument('--commtype', required=False, default='none',\n                        choices=['none', 'perc', 'fixed'],\n                        help=('Commission - choose none for the old'\n                              ' CommissionInfo behavior'))\n\n    parser.add_argument('--stocklike', required=False, action='store_true',\n                        help=('If the operation is for stock-like assets or'\n                              'future-like assets'))\n\n    parser.add_argument('--percrel', required=False, action='store_true',\n                        help=('If perc is expressed in relative xx% rather'\n                              'than absolute value 0.xx'))\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/credit-interest/credit-interest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport collections\nimport datetime\nimport itertools\n\nimport backtrader as bt\n\n\nclass SMACrossOver(bt.Signal):\n    params = (('p1', 10), ('p2', 30),)\n\n    def __init__(self):\n        sma1 = bt.indicators.SMA(period=self.p.p1)\n        sma2 = bt.indicators.SMA(period=self.p.p2)\n        self.lines.signal = bt.indicators.CrossOver(sma1, sma2)\n\n\nclass NoExit(bt.Signal):\n    def next(self):\n        self.lines.signal[0] = 0.0\n\n\nclass St(bt.SignalStrategy):\n    opcounter = itertools.count(1)\n\n    def notify_order(self, order):\n        if order.status == bt.Order.Completed:\n            t = ''\n            t += '{:02d}'.format(next(self.opcounter))\n            t += ' {}'.format(order.data.datetime.datetime())\n            t += ' BUY ' * order.isbuy() or ' SELL'\n            t += ' Size: {:+d} / Price: {:.2f}'\n            print(t.format(order.executed.size, order.executed.price))\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            print('Trade closed with P&L: Gross {} Net {}'.format(\n                trade.pnl, trade.pnlcomm))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n    cerebro.broker.set_int2pnl(args.no_int2pnl)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # if dataset is None, args.data has been given\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)\n\n    cerebro.signal_strategy(St)\n    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\n\n    sigtype = bt.signal.SIGNAL_LONGSHORT\n    if args.long:\n        sigtype = bt.signal.SIGNAL_LONG\n    elif args.short:\n        sigtype = bt.signal.SIGNAL_SHORT\n\n    cerebro.add_signal(sigtype,\n                       SMACrossOver, p1=args.period1, p2=args.period2)\n\n    if args.no_exit:\n        if args.long:\n            cerebro.add_signal(bt.signal.SIGNAL_LONGEXIT, NoExit)\n        elif args.short:\n            cerebro.add_signal(bt.signal.SIGNAL_SHORTEXIT, NoExit)\n\n    comminfo = bt.CommissionInfo(\n        mult=args.mult,\n        margin=args.margin,\n        stocklike=args.stocklike,\n        interest=args.interest,\n        interest_long=args.interest_long)\n\n    cerebro.broker.addcommissioninfo(comminfo)\n\n    cerebro.run()\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Slippage')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Specific data to be read in')\n\n    parser.add_argument('--fromdate', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--period1', required=False, action='store',\n                        type=int, default=10,\n                        help=('Fast moving average period'))\n\n    parser.add_argument('--period2', required=False, action='store',\n                        type=int, default=30,\n                        help=('Slow moving average period'))\n\n    parser.add_argument('--interest', required=False, action='store',\n                        default=0.0, type=float,\n                        help=('Activate credit interest rate'))\n\n    parser.add_argument('--no-int2pnl', required=False, action='store_false',\n                        help=('Do not assign interest to pnl'))\n\n    parser.add_argument('--interest_long', required=False, action='store_true',\n                        help=('Credit interest rate for long positions'))\n\n    pgroup = parser.add_mutually_exclusive_group()\n    pgroup.add_argument('--long', required=False, action='store_true',\n                        help=('Do a long only strategy'))\n\n    pgroup.add_argument('--short', required=False, action='store_true',\n                        help=('Do a long only strategy'))\n\n    parser.add_argument('--no-exit', required=False, action='store_true',\n                        help=('The 1st taken position will not be exited'))\n\n    parser.add_argument('--stocklike', required=False, action='store_true',\n                        help=('Consider the asset to be stocklike'))\n\n    parser.add_argument('--margin', required=False, action='store',\n                        default=0.0, type=float,\n                        help=('Margin for future like instruments'))\n\n    parser.add_argument('--mult', required=False, action='store',\n                        default=1.0, type=float,\n                        help=('Multiplier for future like instruments'))\n\n    parser.add_argument('--stake', required=False, action='store',\n                        default=10, type=int,\n                        help=('Stake to apply'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/data-bid-ask/bidask.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass BidAskCSV(btfeeds.GenericCSVData):\n    linesoverride = True  # discard usual OHLC structure\n    # datetime must be present and last\n    lines = ('bid', 'ask', 'datetime')\n    # datetime (always 1st) and then the desired order for\n    params = (\n        # (datetime, 0), # inherited from parent class\n        ('bid', 1),  # default field pos 1\n        ('ask', 2),  # default field pos 2\n    )\n\n\nclass St(bt.Strategy):\n    params = (('sma', False), ('period', 3))\n\n    def __init__(self):\n        if self.p.sma:\n            self.sma = btind.SMA(self.data, period=self.p.period)\n\n    def next(self):\n        dtstr = self.data.datetime.datetime().isoformat()\n        txt = '%4d: %s - Bid %.4f - %.4f Ask' % (\n            (len(self), dtstr, self.data.bid[0], self.data.ask[0]))\n\n        if self.p.sma:\n            txt += ' - SMA: %.4f' % self.sma[0]\n        print(txt)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Bid/Ask Line Hierarchy',\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n    )\n\n    parser.add_argument('--data', '-d', action='store',\n                        required=False, default='../../datas/bidask.csv',\n                        help='data to add to the system')\n\n    parser.add_argument('--dtformat', '-dt',\n                        required=False, default='%m/%d/%Y %H:%M:%S',\n                        help='Format of datetime in input')\n\n    parser.add_argument('--sma', '-s', action='store_true',\n                        required=False,\n                        help='Add an SMA to the mix')\n\n    parser.add_argument('--period', '-p', action='store',\n                        required=False, default=5, type=int,\n                        help='Period for the sma')\n\n    return parser.parse_args()\n\n\ndef runstrategy():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()  # Create a cerebro\n\n    data = BidAskCSV(dataname=args.data, dtformat=args.dtformat)\n    cerebro.adddata(data)  # Add the 1st data to cerebro\n    # Add the strategy to cerebro\n    cerebro.addstrategy(St, sma=args.sma, period=args.period)\n    cerebro.run()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/data-filler/data-filler.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport math\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.utils.flushfile\nimport backtrader.filters as btfilters\n\nfrom relativevolume import RelativeVolume\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Get the session times to pass them to the indicator\n    # datetime.time has no strptime ...\n    dtstart = datetime.datetime.strptime(args.tstart, '%H:%M')\n    dtend = datetime.datetime.strptime(args.tend, '%H:%M')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate,\n        timeframe=bt.TimeFrame.Minutes,\n        compression=1,\n        sessionstart=dtstart,  # internally just the \"time\" part will be used\n        sessionend=dtend,  # internally just the \"time\" part will be used\n    )\n\n    if args.filter:\n        data.addfilter(btfilters.SessionFilter)\n\n    if args.filler:\n        data.addfilter(btfilters.SessionFiller, fill_vol=args.fvol)\n\n    # Add the data to cerebro\n    cerebro.adddata(data)\n\n    if args.relvol:\n        # Calculate backward period - tend tstart are in same day\n        # + 1 to include last moment of the interval dstart <-> dtend\n        td = ((dtend - dtstart).seconds // 60) + 1\n        cerebro.addindicator(RelativeVolume,\n                             period=td,\n                             volisnan=math.isnan(args.fvol))\n\n    # Add an empty strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Add a writer with CSV\n    if args.writer:\n        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)\n\n    # And run it - no trading - disable stdstats\n    cerebro.run(stdstats=False)\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=True)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='DataFilter/DataFiller Sample')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-01-02-volume-min-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--filter', '-ft', action='store_true',\n                        help='Filter using session start/end times')\n\n    parser.add_argument('--filler', '-fl', action='store_true',\n                        help='Fill missing bars inside start/end times')\n\n    parser.add_argument('--fvol', required=False, default=0.0,\n                        type=float,\n                        help='Use as fill volume for missing bar (def: 0.0)')\n\n    parser.add_argument('--tstart', '-ts',\n                        # default='09:14:59',\n                        # help='Start time for the Session Filter (%H:%M:%S)')\n                        default='09:15',\n                        help='Start time for the Session Filter (HH:MM)')\n\n    parser.add_argument('--tend', '-te',\n                        # default='17:15:59',\n                        # help='End time for the Session Filter (%H:%M:%S)')\n                        default='17:15',\n                        help='End time for the Session Filter (HH:MM)')\n\n    parser.add_argument('--relvol', '-rv', action='store_true',\n                        help='Add relative volume indicator')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--writer', '-w', action='store_true',\n                        help='Add a writer to cerebro')\n\n    parser.add_argument('--wrcsv', '-wc', action='store_true',\n                        help='Enable CSV Output in the writer')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/data-filler/relativevolume.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\n\nclass RelativeVolume(bt.Indicator):\n    csv = True  # show up in csv output (default for indicators is False)\n\n    lines = ('relvol',)\n    params = (\n        ('period', 20),\n        ('volisnan', True),\n    )\n\n    def __init__(self):\n        if self.p.volisnan:\n            # if missing volume will be NaN, do a simple division\n            # the end result for missing volumes will also be NaN\n            relvol = self.data.volume(-self.p.period) / self.data.volume\n        else:\n            # Else do a controlled Div with a built-in function\n            relvol = bt.DivByZero(\n                self.data.volume(-self.p.period),\n                self.data.volume,\n                zero=0.0)\n\n        self.lines.relvol = relvol\n"
  },
  {
    "path": "samples/data-multitimeframe/data-multitimeframe.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nfrom backtrader import ResamplerDaily, ResamplerWeekly, ResamplerMonthly\nfrom backtrader import ReplayerDaily, ReplayerWeekly, ReplayerMonthly\nfrom backtrader.utils import flushfile\n\n\nclass SMAStrategy(bt.Strategy):\n    params = (\n        ('period', 10),\n        ('onlydaily', False),\n    )\n\n    def __init__(self):\n        self.sma_small_tf = btind.SMA(self.data, period=self.p.period)\n        bt.indicators.MACD(self.data0)\n\n        if not self.p.onlydaily:\n            self.sma_large_tf = btind.SMA(self.data1, period=self.p.period)\n            bt.indicators.MACD(self.data1)\n\n    def prenext(self):\n        self.next()\n\n    def nextstart(self):\n        print('--------------------------------------------------')\n        print('nextstart called with len', len(self))\n        print('--------------------------------------------------')\n\n        super(SMAStrategy, self).nextstart()\n\n    def next(self):\n        print('Strategy:', len(self))\n\n        txt = list()\n        txt.append('Data0')\n        txt.append('%04d' % len(self.data0))\n        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n        txt.append('{:f}'.format(self.data.datetime[0]))\n        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))\n        # txt.append('{:f}'.format(self.data.open[0]))\n        # txt.append('{:f}'.format(self.data.high[0]))\n        # txt.append('{:f}'.format(self.data.low[0]))\n        txt.append('{:f}'.format(self.data.close[0]))\n        # txt.append('{:6d}'.format(int(self.data.volume[0])))\n        # txt.append('{:d}'.format(int(self.data.openinterest[0])))\n        # txt.append('{:f}'.format(self.sma_small[0]))\n        print(', '.join(txt))\n\n        if len(self.datas) > 1 and len(self.data1):\n            txt = list()\n            txt.append('Data1')\n            txt.append('%04d' % len(self.data1))\n            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n            txt.append('{:f}'.format(self.data1.datetime[0]))\n            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))\n            # txt.append('{}'.format(self.data1.open[0]))\n            # txt.append('{}'.format(self.data1.high[0]))\n            # txt.append('{}'.format(self.data1.low[0]))\n            txt.append('{}'.format(self.data1.close[0]))\n            # txt.append('{}'.format(self.data1.volume[0]))\n            # txt.append('{}'.format(self.data1.openinterest[0]))\n            # txt.append('{}'.format(float('NaN')))\n            print(', '.join(txt))\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro()\n\n    # Add a strategy\n    if not args.indicators:\n        cerebro.addstrategy(bt.Strategy)\n    else:\n        cerebro.addstrategy(\n            SMAStrategy,\n\n            # args for the strategy\n            period=args.period,\n            onlydaily=args.onlydaily,\n        )\n\n    # Load the Data\n    datapath = args.dataname or '../../datas/2006-day-001.txt'\n    data = btfeeds.BacktraderCSVData(\n        dataname=datapath)\n\n    tframes = dict(\n        daily=bt.TimeFrame.Days,\n        weekly=bt.TimeFrame.Weeks,\n        monthly=bt.TimeFrame.Months)\n\n    # Handy dictionary for the argument timeframe conversion\n    # Resample the data\n    if args.noresample:\n        datapath = args.dataname2 or '../../datas/2006-week-001.txt'\n        data2 = btfeeds.BacktraderCSVData(\n            dataname=datapath)\n    else:\n        if args.oldrs:\n            if args.replay:\n                data2 = bt.DataReplayer(\n                    dataname=data,\n                    timeframe=tframes[args.timeframe],\n                    compression=args.compression)\n            else:\n                data2 = bt.DataResampler(\n                    dataname=data,\n                    timeframe=tframes[args.timeframe],\n                    compression=args.compression)\n\n        else:\n            data2 = bt.DataClone(dataname=data)\n            if args.replay:\n                if args.timeframe == 'daily':\n                    data2.addfilter(ReplayerDaily)\n                elif args.timeframe == 'weekly':\n                    data2.addfilter(ReplayerWeekly)\n                elif args.timeframe == 'monthly':\n                    data2.addfilter(ReplayerMonthly)\n            else:\n                if args.timeframe == 'daily':\n                    data2.addfilter(ResamplerDaily)\n                elif args.timeframe == 'weekly':\n                    data2.addfilter(ResamplerWeekly)\n                elif args.timeframe == 'monthly':\n                    data2.addfilter(ResamplerMonthly)\n\n    # First add the original data - smaller timeframe\n    cerebro.adddata(data)\n\n    # And then the large timeframe\n    cerebro.adddata(data2)\n\n    # Run over everything\n    cerebro.run(runonce=not args.runnext,\n                preload=not args.nopreload,\n                oldsync=args.oldsync,\n                stdstats=False)\n\n    # Plot the result\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Pandas test script')\n\n    parser.add_argument('--dataname', default='', required=False,\n                        help='File Data to Load')\n\n    parser.add_argument('--dataname2', default='', required=False,\n                        help='Larger timeframe file to load')\n\n    parser.add_argument('--runnext', action='store_true',\n                        help='Use next by next instead of runonce')\n\n    parser.add_argument('--nopreload', action='store_true',\n                        help='Do not preload the data')\n\n    parser.add_argument('--oldsync', action='store_true',\n                        help='Use old data synchronization method')\n\n    parser.add_argument('--oldrs', action='store_true',\n                        help='Use old resampler')\n\n    parser.add_argument('--replay', action='store_true',\n                        help='Replay instead of resample')\n\n    parser.add_argument('--noresample', action='store_true',\n                        help='Do not resample, rather load larger timeframe')\n\n    parser.add_argument('--timeframe', default='weekly', required=False,\n                        choices=['daily', 'weekly', 'monthly'],\n                        help='Timeframe to resample to')\n\n    parser.add_argument('--compression', default=1, required=False, type=int,\n                        help='Compress n bars into 1')\n\n    parser.add_argument('--indicators', action='store_true',\n                        help='Wether to apply Strategy with indicators')\n\n    parser.add_argument('--onlydaily', action='store_true',\n                        help='Indicator only to be applied to daily timeframe')\n\n    parser.add_argument('--period', default=10, required=False, type=int,\n                        help='Period to apply to indicator')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help='Plot the chart')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/data-pandas/data-pandas-optix.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\nimport pandas\n\n\nclass PandasDataOptix(btfeeds.PandasData):\n\n    lines = ('optix_close', 'optix_pess', 'optix_opt',)\n    params = (('optix_close', -1),\n              ('optix_pess', -1),\n              ('optix_opt', -1))\n\n    if False:\n        # No longer needed with version 1.9.62.122\n        datafields = btfeeds.PandasData.datafields + (\n            ['optix_close', 'optix_pess', 'optix_opt'])\n\n\nclass StrategyOptix(bt.Strategy):\n\n    def next(self):\n        print('%03d %f %f, %f' % (\n            len(self),\n            self.data.optix_close[0],\n            self.data.lines.optix_pess[0],\n            self.data.optix_opt[0],))\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(StrategyOptix)\n\n    # Get a pandas dataframe\n    datapath = ('../../datas/2006-day-001-optix.txt')\n\n    # Simulate the header row isn't there if noheaders requested\n    skiprows = 1 if args.noheaders else 0\n    header = None if args.noheaders else 0\n\n    dataframe = pandas.read_csv(datapath,\n                                skiprows=skiprows,\n                                header=header,\n                                parse_dates=True,\n                                index_col=0)\n\n    if not args.noprint:\n        print('--------------------------------------------------')\n        print(dataframe)\n        print('--------------------------------------------------')\n\n    # Pass it to the backtrader datafeed and add it to the cerebro\n    data = PandasDataOptix(dataname=dataframe)\n\n    cerebro.adddata(data)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot the result\n    if not args.noplot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Pandas test script')\n\n    parser.add_argument('--noheaders', action='store_true', default=False,\n                        required=False,\n                        help='Do not use header rows')\n\n    parser.add_argument('--noprint', action='store_true', default=False,\n                        help='Print the dataframe')\n\n    parser.add_argument('--noplot', action='store_true', default=False,\n                        help='Do not plot the chart')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/data-pandas/data-pandas.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\nimport pandas\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Get a pandas dataframe\n    datapath = ('../../datas/2006-day-001.txt')\n\n    # Simulate the header row isn't there if noheaders requested\n    skiprows = 1 if args.noheaders else 0\n    header = None if args.noheaders else 0\n\n    dataframe = pandas.read_csv(\n        datapath,\n        skiprows=skiprows,\n        header=header,\n        # parse_dates=[0],\n        parse_dates=True,\n        index_col=0,\n    )\n\n    if not args.noprint:\n        print('--------------------------------------------------')\n        print(dataframe)\n        print('--------------------------------------------------')\n\n    # Pass it to the backtrader datafeed and add it to the cerebro\n    data = bt.feeds.PandasData(dataname=dataframe,\n                               # datetime='Date',\n                               nocase=True,\n                               )\n\n    cerebro.adddata(data)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot the result\n    cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Pandas test script')\n\n    parser.add_argument('--noheaders', action='store_true', default=False,\n                        required=False,\n                        help='Do not use header rows')\n\n    parser.add_argument('--noprint', action='store_true', default=False,\n                        help='Print the dataframe')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/data-replay/data-replay.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass SMAStrategy(bt.Strategy):\n    params = (\n        ('period', 10),\n        ('onlydaily', False),\n    )\n\n    def __init__(self):\n        self.sma = btind.SMA(self.data, period=self.p.period)\n\n    def start(self):\n        self.counter = 0\n\n    def prenext(self):\n        self.counter += 1\n        print('prenext len %d - counter %d' % (len(self), self.counter))\n\n    def next(self):\n        self.counter += 1\n        print('---next len %d - counter %d' % (len(self), self.counter))\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    cerebro.addstrategy(\n        SMAStrategy,\n        # args for the strategy\n        period=args.period,\n    )\n\n    # Load the Data\n    datapath = args.dataname or '../../datas//2006-day-001.txt'\n    data = btfeeds.BacktraderCSVData(\n        dataname=datapath)\n\n    tframes = dict(\n        daily=bt.TimeFrame.Days,\n        weekly=bt.TimeFrame.Weeks,\n        monthly=bt.TimeFrame.Months)\n\n    # Handy dictionary for the argument timeframe conversion\n    # Resample the data\n    if args.oldrp:\n        data = bt.DataReplayer(\n            dataname=data,\n            timeframe=tframes[args.timeframe],\n            compression=args.compression)\n    else:\n        data.replay(\n            timeframe=tframes[args.timeframe],\n            compression=args.compression)\n\n    # First add the original data - smaller timeframe\n    cerebro.adddata(data)\n\n    # Run over everything\n    cerebro.run(preload=False)\n\n    # Plot the result\n    cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Pandas test script')\n\n    parser.add_argument('--dataname', default='', required=False,\n                        help='File Data to Load')\n\n    parser.add_argument('--oldrp', required=False, action='store_true',\n                        help='Use deprecated DataReplayer')\n\n    parser.add_argument('--timeframe', default='weekly', required=False,\n                        choices=['daily', 'weekly', 'monthly'],\n                        help='Timeframe to resample to')\n\n    parser.add_argument('--compression', default=1, required=False, type=int,\n                        help='Compress n bars into 1')\n\n    parser.add_argument('--period', default=10, required=False, type=int,\n                        help='Period to apply to indicator')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/data-resample/data-resample.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Load the Data\n    datapath = args.dataname or '../../datas/2006-day-001.txt'\n    data = btfeeds.BacktraderCSVData(\n        dataname=datapath)\n\n    # Handy dictionary for the argument timeframe conversion\n    tframes = dict(\n        daily=bt.TimeFrame.Days,\n        weekly=bt.TimeFrame.Weeks,\n        monthly=bt.TimeFrame.Months)\n\n    # Resample the data\n    if args.oldrs:\n        # Old resampler, fully deprecated\n        data = bt.DataResampler(\n            dataname=data,\n            timeframe=tframes[args.timeframe],\n            compression=args.compression)\n\n        # Add the resample data instead of the original\n        cerebro.adddata(data)\n    else:\n        # New resampler\n        cerebro.resampledata(\n            data,\n            timeframe=tframes[args.timeframe],\n            compression=args.compression)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot the result\n    cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Resample down to minutes')\n\n    parser.add_argument('--dataname', default='', required=False,\n                        help='File Data to Load')\n\n    parser.add_argument('--oldrs', required=False, action='store_true',\n                        help='Use deprecated DataResampler')\n\n    parser.add_argument('--timeframe', default='weekly', required=False,\n                        choices=['daily', 'weekly', 'monthly'],\n                        help='Timeframe to resample to')\n\n    parser.add_argument('--compression', default=1, required=False, type=int,\n                        help='Compress n bars into 1')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/daysteps/daysteps.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = ()\n\n    def __init__(self):\n        pass\n\n    def start(self):\n        self.callcounter = 0\n        txtfields = list()\n        txtfields.append('Calls')\n        txtfields.append('Len Strat')\n        txtfields.append('Len Data')\n        txtfields.append('Datetime')\n        txtfields.append('Open')\n        txtfields.append('High')\n        txtfields.append('Low')\n        txtfields.append('Close')\n        txtfields.append('Volume')\n        txtfields.append('OpenInterest')\n        print(','.join(txtfields))\n\n        self.lcontrol = 0\n\n    def next(self):\n        self.callcounter += 1\n\n        txtfields = list()\n        txtfields.append('%04d' % self.callcounter)\n        txtfields.append('%04d' % len(self))\n        txtfields.append('%04d' % len(self.data0))\n        txtfields.append(self.data.datetime.datetime(0).isoformat())\n        txtfields.append('%.2f' % self.data0.open[0])\n        txtfields.append('%.2f' % self.data0.high[0])\n        txtfields.append('%.2f' % self.data0.low[0])\n        txtfields.append('%.2f' % self.data0.close[0])\n        txtfields.append('%.2f' % self.data0.volume[0])\n        txtfields.append('%.2f' % self.data0.openinterest[0])\n        print(','.join(txtfields))\n\n        if len(self.data) > self.lcontrol:\n            print('- I could issue a buy order during the Opening')\n\n        self.lcontrol = len(self.data)\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    data = bt.feeds.BacktraderCSVData(dataname=args.data)\n\n    data.addfilter(bt.filters.DayStepsFilter)\n    cerebro.adddata(data)\n\n    cerebro.addstrategy(St)\n\n    cerebro._doreplay = True\n    cerebro.run(**(eval('dict(' + args.cerebro + ')')))\n    if args.plot:\n        cerebro.plot(**(eval('dict(' + args.plot + ')')))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pivot point and cross plotting')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--cerebro', required=False, action='store',\n                        default='', help=('Arguments for cerebro'))\n\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const='{}',\n                        help=('Plot (with additional args if passed'))\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/future-spot/future-spot.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport random\nimport backtrader as bt\n\n\n# The filter which changes the close price\ndef close_changer(data, *args, **kwargs):\n    data.close[0] += 50.0 * random.randint(-1, 1)\n    return False  # length of stream is unchanged\n\n\n# override the standard markers\nclass BuySellArrows(bt.observers.BuySell):\n    plotlines = dict(buy=dict(marker='$\\u21E7$', markersize=12.0),\n                     sell=dict(marker='$\\u21E9$', markersize=12.0))\n\n\nclass St(bt.Strategy):\n    def __init__(self):\n        bt.obs.BuySell(self.data0, barplot=True)  # done here for\n        BuySellArrows(self.data1, barplot=True)  # different markers per data\n\n    def next(self):\n        if not self.position:\n            if random.randint(0, 1):\n                self.buy(data=self.data0)\n                self.entered = len(self)\n\n        else:  # in the market\n            if (len(self) - self.entered) >= 10:\n                self.sell(data=self.data1)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n    cerebro = bt.Cerebro()\n\n    dataname = '../../datas/2006-day-001.txt'  # data feed\n\n    data0 = bt.feeds.BacktraderCSVData(dataname=dataname, name='data0')\n    cerebro.adddata(data0)\n\n    data1 = bt.feeds.BacktraderCSVData(dataname=dataname, name='data1')\n    data1.addfilter(close_changer)\n    if not args.no_comp:\n        data1.compensate(data0)\n    data1.plotinfo.plotmaster = data0\n    if args.sameaxis:\n        data1.plotinfo.sameaxis = True\n    cerebro.adddata(data1)\n\n    cerebro.addstrategy(St)  # sample strategy\n\n    cerebro.addobserver(bt.obs.Broker)  # removed below with stdstats=False\n    cerebro.addobserver(bt.obs.Trades)  # removed below with stdstats=False\n\n    cerebro.broker.set_coc(True)\n    cerebro.run(stdstats=False)  # execute\n    cerebro.plot(volume=False)  # and plot\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=('Compensation example'))\n\n    parser.add_argument('--no-comp', required=False, action='store_true')\n    parser.add_argument('--sameaxis', required=False, action='store_true')\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/gold-vs-sp500/gold-vs-sp500.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n# Reference\n# https://estrategiastrading.com/oro-bolsa-estadistica-con-python/\n\nimport argparse\nimport datetime\n\nimport scipy.stats\n\nimport backtrader as bt\n\n\nclass PearsonR(bt.ind.PeriodN):\n    _mindatas = 2  # hint to the platform\n\n    lines = ('correlation',)\n    params = (('period', 20),)\n\n    def next(self):\n        c, p = scipy.stats.pearsonr(self.data0.get(size=self.p.period),\n                                    self.data1.get(size=self.p.period))\n\n        self.lines.correlation[0] = c\n\n\nclass MACrossOver(bt.Strategy):\n    params = (\n        ('ma', bt.ind.MovAv.SMA),\n        ('pd1', 20),\n        ('pd2', 20),\n    )\n\n    def __init__(self):\n        ma1 = self.p.ma(self.data0, period=self.p.pd1, subplot=True)\n        self.p.ma(self.data1, period=self.p.pd2, plotmaster=ma1)\n        PearsonR(self.data0, self.data1)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    if not args.offline:\n        YahooData = bt.feeds.YahooFinanceData\n    else:\n        YahooData = bt.feeds.YahooFinanceCSVData\n\n    # Data feeds\n    data0 = YahooData(dataname=args.data0, **kwargs)\n    # cerebro.adddata(data0)\n    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Weeks)\n\n    data1 = YahooData(dataname=args.data1, **kwargs)\n    # cerebro.adddata(data1)\n    cerebro.resampledata(data1, timeframe=bt.TimeFrame.Weeks)\n    data1.plotinfo.plotmaster = data0\n\n    # Broker\n    kwargs = eval('dict(' + args.broker + ')')\n    cerebro.broker = bt.brokers.BackBroker(**kwargs)\n\n    # Sizer\n    kwargs = eval('dict(' + args.sizer + ')')\n    cerebro.addsizer(bt.sizers.FixedSize, **kwargs)\n\n    # Strategy\n    if True:\n        kwargs = eval('dict(' + args.strat + ')')\n        cerebro.addstrategy(MACrossOver, **kwargs)\n\n    cerebro.addobserver(bt.observers.LogReturns2,\n                        timeframe=bt.TimeFrame.Weeks,\n                        compression=20)\n\n    # Execute\n    cerebro.run(**(eval('dict(' + args.cerebro + ')')))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**(eval('dict(' + args.plot + ')')))\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Gold vs SP500 from '\n            'https://estrategiastrading.com/oro-bolsa-estadistica-con-python/')\n    )\n\n    parser.add_argument('--data0', required=False, default='SPY',\n                        metavar='TICKER', help='Yahoo ticker to download')\n\n    parser.add_argument('--data1', required=False, default='GLD',\n                        metavar='TICKER', help='Yahoo ticker to download')\n\n    parser.add_argument('--offline', required=False, action='store_true',\n                        help='Use the offline files')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='2005-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='2016-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/ib-cash-bid-ask/ib-cash-bid-ask.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\n\n# When setting the parameter \"what='ASK'\" the quoted price for Ask will be used from the incoming messages (field 2) instead of the default Bid price (field 1).\n\n# BID: <tickPrice tickerId=16777217, field=1, price=1.11582, canAutoExecute=1>\n# ASK: <tickPrice tickerId=16777219, field=2, price=1.11583, canAutoExecute=1>\n\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nimport datetime\n\n\nclass St(bt.Strategy):\n    def logdata(self):\n        txt = []\n        txt.append('{}'.format(len(self)))\n        txt.append('{}'.format(self.data.datetime.datetime(0).isoformat()))\n        txt.append(' open BID: ' + '{}'.format(self.datas[0].open[0]))\n        txt.append(' open ASK: ' + '{}'.format(self.datas[1].open[0]))\n        txt.append(' high BID: ' + '{}'.format(self.datas[0].high[0]))\n        txt.append(' high ASK: ' + '{}'.format(self.datas[1].high[0]))\n        txt.append(' low BID: ' + '{}'.format(self.datas[0].low[0]))\n        txt.append(' low ASK: ' + '{}'.format(self.datas[1].low[0]))\n        txt.append(' close BID: ' + '{}'.format(self.datas[0].close[0]))\n        txt.append(' close ASK: ' + '{}'.format(self.datas[1].close[0]))\n        txt.append(' volume: ' + '{:.2f}'.format(self.data.volume[0]))\n        print(','.join(txt))\n\n    data_live = False\n\n    def notify_data(self, data, status, *args, **kwargs):\n        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)\n        if self.datas[0]._laststatus == self.datas[0].LIVE and self.datas[1]._laststatus == self.datas[1].LIVE:\n            self.data_live = True\n\n    # def notify_order(self, order):\n    #     if order.status == order.Completed:\n    #         buysell = 'BUY ' if order.isbuy() else 'SELL'\n    #         txt = '{} {}@{}'.format(buysell, order.executed.size,\n    #                                 order.executed.price)\n    #         print(txt)\n\n    # bought = 0\n    # sold = 0\n\n    def next(self):\n        self.logdata()\n        if not self.data_live:\n            return\n\n        # if not self.bought:\n        #     self.bought = len(self)  # keep entry bar\n        #     self.buy()\n        # elif not self.sold:\n        #     if len(self) == (self.bought + 3):\n        #         self.sell()\n\n\nib_symbol = 'EUR.USD-CASH-IDEALPRO'\ncompression = 5\n\ndef run(args=None):\n    cerebro = bt.Cerebro(stdstats=False)\n    store = bt.stores.IBStore(port=7497,\n                              # _debug=True\n                              )\n\n    data0 = store.getdata(dataname=ib_symbol,\n                          timeframe=bt.TimeFrame.Ticks,\n                          )\n    cerebro.resampledata(data0,\n                         timeframe=bt.TimeFrame.Seconds,\n                         compression=compression\n                         )\n\n    data1 = store.getdata(dataname=ib_symbol,\n                          timeframe=bt.TimeFrame.Ticks,\n                          what='ASK'\n                          )\n    cerebro.resampledata(data1,\n                         timeframe=bt.TimeFrame.Seconds,\n                         compression=compression\n                         )\n\n    cerebro.broker = store.getbroker()\n    cerebro.addstrategy(St)\n    cerebro.run()\n\n\nif __name__ == '__main__':\n    run()\n"
  },
  {
    "path": "samples/ibtest/ibtest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nfrom backtrader.utils import flushfile  # win32 quick stdout flushing\n\n\nclass TestStrategy(bt.Strategy):\n    params = dict(\n        smaperiod=5,\n        trade=False,\n        stake=10,\n        exectype=bt.Order.Market,\n        stopafter=0,\n        valid=None,\n        cancel=0,\n        donotsell=False,\n        stoptrail=False,\n        stoptraillimit=False,\n        trailamount=None,\n        trailpercent=None,\n        limitoffset=None,\n        oca=False,\n        bracket=False,\n    )\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = list()\n        self.order = None\n\n        self.counttostop = 0\n        self.datastatus = 0\n\n        # Create SMA on 2nd data\n        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)\n\n        print('--------------------------------------------------')\n        print('Strategy Created')\n        print('--------------------------------------------------')\n\n    def notify_data(self, data, status, *args, **kwargs):\n        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)\n        if status == data.LIVE:\n            self.counttostop = self.p.stopafter\n            self.datastatus = 1\n\n    def notify_store(self, msg, *args, **kwargs):\n        print('*' * 5, 'STORE NOTIF:', msg)\n\n    def notify_order(self, order):\n        if order.status in [order.Completed, order.Cancelled, order.Rejected]:\n            self.order = None\n\n        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())\n        print(order)\n        print('-' * 50, 'ORDER END')\n\n    def notify_trade(self, trade):\n        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())\n        print(trade)\n        print('-' * 50, 'TRADE END')\n\n    def prenext(self):\n        self.next(frompre=True)\n\n    def next(self, frompre=False):\n        txt = list()\n        txt.append('Data0')\n        txt.append('%04d' % len(self.data0))\n        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n        txt.append('{}'.format(self.data.datetime[0]))\n        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))\n        txt.append('{}'.format(self.data.open[0]))\n        txt.append('{}'.format(self.data.high[0]))\n        txt.append('{}'.format(self.data.low[0]))\n        txt.append('{}'.format(self.data.close[0]))\n        txt.append('{}'.format(self.data.volume[0]))\n        txt.append('{}'.format(self.data.openinterest[0]))\n        txt.append('{}'.format(self.sma[0]))\n        print(', '.join(txt))\n\n        if len(self.datas) > 1 and len(self.data1):\n            txt = list()\n            txt.append('Data1')\n            txt.append('%04d' % len(self.data1))\n            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n            txt.append('{}'.format(self.data1.datetime[0]))\n            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))\n            txt.append('{}'.format(self.data1.open[0]))\n            txt.append('{}'.format(self.data1.high[0]))\n            txt.append('{}'.format(self.data1.low[0]))\n            txt.append('{}'.format(self.data1.close[0]))\n            txt.append('{}'.format(self.data1.volume[0]))\n            txt.append('{}'.format(self.data1.openinterest[0]))\n            txt.append('{}'.format(float('NaN')))\n            print(', '.join(txt))\n\n        if self.counttostop:  # stop after x live lines\n            self.counttostop -= 1\n            if not self.counttostop:\n                self.env.runstop()\n                return\n\n        if not self.p.trade:\n            return\n\n        if self.datastatus and not self.position and len(self.orderid) < 1:\n            exectype = self.p.exectype if not self.p.oca else bt.Order.Limit\n            close = self.data0.close[0]\n            price = round(close * 0.90, 2)\n            self.order = self.buy(size=self.p.stake,\n                                  exectype=exectype,\n                                  price=price,\n                                  valid=self.p.valid,\n                                  transmit=not self.p.bracket)\n\n            self.orderid.append(self.order)\n\n            if self.p.bracket:\n                # low side\n                self.sell(size=self.p.stake,\n                          exectype=bt.Order.Stop,\n                          price=round(price * 0.90, 2),\n                          valid=self.p.valid,\n                          transmit=False,\n                          parent=self.order)\n\n                # high side\n                self.sell(size=self.p.stake,\n                          exectype=bt.Order.Limit,\n                          price=round(close * 1.10, 2),\n                          valid=self.p.valid,\n                          transmit=True,\n                          parent=self.order)\n\n            elif self.p.oca:\n                self.buy(size=self.p.stake,\n                         exectype=bt.Order.Limit,\n                         price=round(self.data0.close[0] * 0.80, 2),\n                         oco=self.order)\n\n            elif self.p.stoptrail:\n                self.sell(size=self.p.stake,\n                          exectype=bt.Order.StopTrail,\n                          # price=round(self.data0.close[0] * 0.90, 2),\n                          valid=self.p.valid,\n                          trailamount=self.p.trailamount,\n                          trailpercent=self.p.trailpercent)\n\n            elif self.p.stoptraillimit:\n                p = round(self.data0.close[0] - self.p.trailamount, 2)\n                # p = self.data0.close[0]\n                self.sell(size=self.p.stake,\n                          exectype=bt.Order.StopTrailLimit,\n                          price=p,\n                          plimit=p + self.p.limitoffset,\n                          valid=self.p.valid,\n                          trailamount=self.p.trailamount,\n                          trailpercent=self.p.trailpercent)\n\n        elif self.position.size > 0 and not self.p.donotsell:\n            if self.order is None:\n                self.order = self.sell(size=self.p.stake // 2,\n                                       exectype=bt.Order.Market,\n                                       price=self.data0.close[0])\n\n        elif self.order is not None and self.p.cancel:\n            if self.datastatus > self.p.cancel:\n                self.cancel(self.order)\n\n        if self.datastatus:\n            self.datastatus += 1\n\n    def start(self):\n        if self.data0.contractdetails is not None:\n            print('Timezone from ContractDetails: {}'.format(\n                  self.data0.contractdetails.m_timeZoneId))\n\n        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',\n                  'OpenInterest', 'SMA']\n        print(', '.join(header))\n\n        self.done = False\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    storekwargs = dict(\n        host=args.host, port=args.port,\n        clientId=args.clientId, timeoffset=not args.no_timeoffset,\n        reconnect=args.reconnect, timeout=args.timeout,\n        notifyall=args.notifyall, _debug=args.debug\n    )\n\n    if args.usestore:\n        ibstore = bt.stores.IBStore(**storekwargs)\n\n    if args.broker:\n        if args.usestore:\n            broker = ibstore.getbroker()\n        else:\n            broker = bt.brokers.IBBroker(**storekwargs)\n\n        cerebro.setbroker(broker)\n\n    timeframe = bt.TimeFrame.TFrame(args.timeframe)\n    # Manage data1 parameters\n    tf1 = args.timeframe1\n    tf1 = bt.TimeFrame.TFrame(tf1) if tf1 is not None else timeframe\n    cp1 = args.compression1\n    cp1 = cp1 if cp1 is not None else args.compression\n\n    if args.resample or args.replay:\n        datatf = datatf1 = bt.TimeFrame.Ticks\n        datacomp = datacomp1 = 1\n    else:\n        datatf = timeframe\n        datacomp = args.compression\n        datatf1 = tf1\n        datacomp1 = cp1\n\n    fromdate = None\n    if args.fromdate:\n        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))\n        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)\n\n    IBDataFactory = ibstore.getdata if args.usestore else bt.feeds.IBData\n\n    datakwargs = dict(\n        timeframe=datatf, compression=datacomp,\n        historical=args.historical, fromdate=fromdate,\n        rtbar=args.rtbar,\n        qcheck=args.qcheck,\n        what=args.what,\n        backfill_start=not args.no_backfill_start,\n        backfill=not args.no_backfill,\n        latethrough=args.latethrough,\n        tz=args.timezone\n    )\n\n    if not args.usestore and not args.broker:   # neither store nor broker\n        datakwargs.update(storekwargs)  # pass the store args over the data\n\n    data0 = IBDataFactory(dataname=args.data0, **datakwargs)\n\n    data1 = None\n    if args.data1 is not None:\n        if args.data1 != args.data0:\n            datakwargs['timeframe'] = datatf1\n            datakwargs['compression'] = datacomp1\n            data1 = IBDataFactory(dataname=args.data1, **datakwargs)\n        else:\n            data1 = data0\n\n    rekwargs = dict(\n        timeframe=timeframe, compression=args.compression,\n        bar2edge=not args.no_bar2edge,\n        adjbartime=not args.no_adjbartime,\n        rightedge=not args.no_rightedge,\n        takelate=not args.no_takelate,\n    )\n\n    if args.replay:\n        cerebro.replaydata(data0, **rekwargs)\n\n        if data1 is not None:\n            rekwargs['timeframe'] = tf1\n            rekwargs['compression'] = cp1\n            cerebro.replaydata(data1, **rekwargs)\n\n    elif args.resample:\n        cerebro.resampledata(data0, **rekwargs)\n\n        if data1 is not None:\n            rekwargs['timeframe'] = tf1\n            rekwargs['compression'] = cp1\n            cerebro.resampledata(data1, **rekwargs)\n\n    else:\n        cerebro.adddata(data0)\n        if data1 is not None:\n            cerebro.adddata(data1)\n\n    if args.valid is None:\n        valid = None\n    else:\n        valid = datetime.timedelta(seconds=args.valid)\n    # Add the strategy\n    cerebro.addstrategy(TestStrategy,\n                        smaperiod=args.smaperiod,\n                        trade=args.trade,\n                        exectype=bt.Order.ExecType(args.exectype),\n                        stake=args.stake,\n                        stopafter=args.stopafter,\n                        valid=valid,\n                        cancel=args.cancel,\n                        donotsell=args.donotsell,\n                        stoptrail=args.stoptrail,\n                        stoptraillimit=args.traillimit,\n                        trailamount=args.trailamount,\n                        trailpercent=args.trailpercent,\n                        limitoffset=args.limitoffset,\n                        oca=args.oca,\n                        bracket=args.bracket)\n\n    # Live data ... avoid long data accumulation by switching to \"exactbars\"\n    cerebro.run(exactbars=args.exactbars)\n\n    if args.plot and args.exactbars < 1:  # plot if possible\n        cerebro.plot()\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Test Interactive Brokers integration')\n\n    parser.add_argument('--exactbars', default=1, type=int,\n                        required=False, action='store',\n                        help='exactbars level, use 0/-1/-2 to enable plotting')\n\n    parser.add_argument('--plot',\n                        required=False, action='store_true',\n                        help='Plot if possible')\n\n    parser.add_argument('--stopafter', default=0, type=int,\n                        required=False, action='store',\n                        help='Stop after x lines of LIVE data')\n\n    parser.add_argument('--usestore',\n                        required=False, action='store_true',\n                        help='Use the store pattern')\n\n    parser.add_argument('--notifyall',\n                        required=False, action='store_true',\n                        help='Notify all messages to strategy as store notifs')\n\n    parser.add_argument('--debug',\n                        required=False, action='store_true',\n                        help='Display all info received form IB')\n\n    parser.add_argument('--host', default='127.0.0.1',\n                        required=False, action='store',\n                        help='Host for the Interactive Brokers TWS Connection')\n\n    parser.add_argument('--qcheck', default=0.5, type=float,\n                        required=False, action='store',\n                        help=('Timeout for periodic '\n                              'notification/resampling/replaying check'))\n\n    parser.add_argument('--port', default=7496, type=int,\n                        required=False, action='store',\n                        help='Port for the Interactive Brokers TWS Connection')\n\n    parser.add_argument('--clientId', default=None, type=int,\n                        required=False, action='store',\n                        help='Client Id to connect to TWS (default: random)')\n\n    parser.add_argument('--no-timeoffset',\n                        required=False, action='store_true',\n                        help=('Do not Use TWS/System time offset for non '\n                              'timestamped prices and to align resampling'))\n\n    parser.add_argument('--reconnect', default=3, type=int,\n                        required=False, action='store',\n                        help='Number of recconnection attempts to TWS')\n\n    parser.add_argument('--timeout', default=3.0, type=float,\n                        required=False, action='store',\n                        help='Timeout between reconnection attempts to TWS')\n\n    parser.add_argument('--data0', default=None,\n                        required=True, action='store',\n                        help='data 0 into the system')\n\n    parser.add_argument('--data1', default=None,\n                        required=False, action='store',\n                        help='data 1 into the system')\n\n    parser.add_argument('--timezone', default=None,\n                        required=False, action='store',\n                        help='timezone to get time output into (pytz names)')\n\n    parser.add_argument('--what', default=None,\n                        required=False, action='store',\n                        help='specific price type for historical requests')\n\n    parser.add_argument('--no-backfill_start',\n                        required=False, action='store_true',\n                        help='Disable backfilling at the start')\n\n    parser.add_argument('--latethrough',\n                        required=False, action='store_true',\n                        help=('if resampling replaying, adjusting time '\n                              'and disabling time offset, let late samples '\n                              'through'))\n\n    parser.add_argument('--no-backfill',\n                        required=False, action='store_true',\n                        help='Disable backfilling after a disconnection')\n\n    parser.add_argument('--rtbar', default=False,\n                        required=False, action='store_true',\n                        help='Use 5 seconds real time bar updates if possible')\n\n    parser.add_argument('--historical',\n                        required=False, action='store_true',\n                        help='do only historical download')\n\n    parser.add_argument('--fromdate',\n                        required=False, action='store',\n                        help=('Starting date for historical download '\n                              'with format: YYYY-MM-DD[THH:MM:SS]'))\n\n    parser.add_argument('--smaperiod', default=5, type=int,\n                        required=False, action='store',\n                        help='Period to apply to the Simple Moving Average')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n\n    pgroup.add_argument('--replay',\n                        required=False, action='store_true',\n                        help='replay to chosen timeframe')\n\n    pgroup.add_argument('--resample',\n                        required=False, action='store_true',\n                        help='resample to chosen timeframe')\n\n    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[0],\n                        choices=bt.TimeFrame.Names,\n                        required=False, action='store',\n                        help='TimeFrame for Resample/Replay')\n\n    parser.add_argument('--compression', default=1, type=int,\n                        required=False, action='store',\n                        help='Compression for Resample/Replay')\n\n    parser.add_argument('--timeframe1', default=None,\n                        choices=bt.TimeFrame.Names,\n                        required=False, action='store',\n                        help='TimeFrame for Resample/Replay - Data1')\n\n    parser.add_argument('--compression1', default=None, type=int,\n                        required=False, action='store',\n                        help='Compression for Resample/Replay - Data1')\n\n    parser.add_argument('--no-takelate',\n                        required=False, action='store_true',\n                        help=('resample/replay, do not accept late samples '\n                              'in new bar if the data source let them through '\n                              '(latethrough)'))\n\n    parser.add_argument('--no-bar2edge',\n                        required=False, action='store_true',\n                        help='no bar2edge for resample/replay')\n\n    parser.add_argument('--no-adjbartime',\n                        required=False, action='store_true',\n                        help='no adjbartime for resample/replay')\n\n    parser.add_argument('--no-rightedge',\n                        required=False, action='store_true',\n                        help='no rightedge for resample/replay')\n\n    parser.add_argument('--broker',\n                        required=False, action='store_true',\n                        help='Use IB as broker')\n\n    parser.add_argument('--trade',\n                        required=False, action='store_true',\n                        help='Do Sample Buy/Sell operations')\n\n    parser.add_argument('--donotsell',\n                        required=False, action='store_true',\n                        help='Do not sell after a buy')\n\n    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],\n                        choices=bt.Order.ExecTypes,\n                        required=False, action='store',\n                        help='Execution to Use when opening position')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        required=False, action='store',\n                        help='Stake to use in buy operations')\n\n    parser.add_argument('--valid', default=None, type=int,\n                        required=False, action='store',\n                        help='Seconds to keep the order alive (0 means DAY)')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n    pgroup.add_argument('--stoptrail',\n                        required=False, action='store_true',\n                        help='Issue a stoptraillimit after buy( do not sell')\n\n    pgroup.add_argument('--traillimit',\n                        required=False, action='store_true',\n                        help='Issue a stoptrail after buying (do not sell')\n\n    pgroup.add_argument('--oca',\n                        required=False, action='store_true',\n                        help='Test oca by putting 2 orders in a group')\n\n    pgroup.add_argument('--bracket',\n                        required=False, action='store_true',\n                        help='Test bracket orders by issuing high/low sides')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n    pgroup.add_argument('--trailamount', default=None, type=float,\n                        required=False, action='store',\n                        help='trailamount for StopTrail order')\n\n    pgroup.add_argument('--trailpercent', default=None, type=float,\n                        required=False, action='store',\n                        help='trailpercent for StopTrail order')\n\n    parser.add_argument('--limitoffset', default=None, type=float,\n                        required=False, action='store',\n                        help='limitoffset for StopTrailLimit orders')\n\n    parser.add_argument('--cancel', default=0, type=int,\n                        required=False, action='store',\n                        help=('Cancel a buy order after n bars in operation,'\n                              ' to be combined with orders like Limit'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/kselrsi/ksignal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass TheStrategy(bt.SignalStrategy):\n    params = dict(rsi_per=14, rsi_upper=65.0, rsi_lower=35.0, rsi_out=50.0,\n                  warmup=35)\n\n    def notify_order(self, order):\n        super(TheStrategy, self).notify_order(order)\n        if order.status == order.Completed:\n            print('%s: Size: %d @ Price %f' %\n                  ('buy' if order.isbuy() else 'sell',\n                   order.executed.size, order.executed.price))\n\n            d = order.data\n            print('Close[-1]: %f - Open[0]: %f' % (d.close[-1], d.open[0]))\n\n    def __init__(self):\n        # Original code needs artificial warmup phase - hidden sma to replic\n        if self.p.warmup:\n            bt.indicators.SMA(period=self.p.warmup, plot=False)\n\n        rsi = bt.indicators.RSI(period=self.p.rsi_per,\n                                upperband=self.p.rsi_upper,\n                                lowerband=self.p.rsi_lower)\n\n        crossup = bt.ind.CrossUp(rsi, self.p.rsi_lower)\n        self.signal_add(bt.SIGNAL_LONG, crossup)\n        self.signal_add(bt.SIGNAL_LONGEXIT, -(rsi > self.p.rsi_out))\n\n        crossdown = bt.ind.CrossDown(rsi, self.p.rsi_upper)\n        self.signal_add(bt.SIGNAL_SHORT, -crossdown)\n        self.signal_add(bt.SIGNAL_SHORTEXIT, rsi < self.p.rsi_out)\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n    cerebro.broker.set_coc(args.coc)\n    data0 = bt.feeds.YahooFinanceData(\n        dataname=args.data,\n        fromdate=datetime.datetime.strptime(args.fromdate, '%Y-%m-%d'),\n        todate=datetime.datetime.strptime(args.todate, '%Y-%m-%d'),\n        round=False)\n\n    cerebro.adddata(data0)\n\n    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\n    cerebro.addstrategy(TheStrategy, **(eval('dict(' + args.strat + ')')))\n    cerebro.addobserver(bt.observers.Value)\n    cerebro.addobserver(bt.observers.Trades)\n    cerebro.addobserver(bt.observers.BuySell, barplot=True)\n\n    cerebro.run(stdstats=False)\n    if args.plot:\n        cerebro.plot(**(eval('dict(' + args.plot + ')')))\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample after post at keithselover.wordpress.com')\n\n    parser.add_argument('--data', required=False, default='XOM',\n                        help='Yahoo Ticker')\n\n    parser.add_argument('--fromdate', required=False, default='2012-09-01',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False, default='2016-01-01',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store', type=float,\n                        default=100000, help=('Cash to start with'))\n\n    parser.add_argument('--stake', required=False, action='store', type=int,\n                        default=100, help=('Cash to start with'))\n\n    parser.add_argument('--coc', required=False, action='store_true',\n                        help=('Buy on close of same bar as order is issued'))\n\n    parser.add_argument('--strat', required=False, action='store', default='',\n                        help=('Arguments for the strategy'))\n\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const='{}',\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/lineplotter/lineplotter.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n        ('ondata', False),\n    )\n\n    def __init__(self):\n        if not self.p.ondata:\n            a = self.data.high - self.data.low\n        else:\n            a = 1.05 * (self.data.high + self.data.low) / 2.0\n\n        b = bt.LinePlotterIndicator(a, name='hilo')\n        b.plotinfo.subplot = not self.p.ondata\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    cerebro = bt.Cerebro()\n\n    dkwargs = dict()\n    # Get the dates from the args\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)\n\n    cerebro.addstrategy(St, ondata=args.ondata)\n    cerebro.run(stdstats=False)\n\n    # Plot if requested\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Fake Indicator')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--ondata', '-o', action='store_true',\n                        help='Plot fake indicator on the data')\n\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/lrsi/lrsi-test.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n    )\n\n    def __init__(self):\n        mid = (self.data.high + self.data.low) / 2.0\n        bt.ind.LaguerreRSI(mid)\n        bt.ind.LaguerreRSI3(mid)\n        bt.ind.LaguerreRSI2(mid)\n        pass\n\n    def next(self):\n        pass\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'lrsi sampl'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/macd-settings/macd-settings.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\n\nBTVERSION = tuple(int(x) for x in bt.__version__.split('.'))\n\n\nclass FixedPerc(bt.Sizer):\n    '''This sizer simply returns a fixed size for any operation\n\n    Params:\n      - ``perc`` (default: ``0.20``) Perc of cash to allocate for operation\n    '''\n\n    params = (\n        ('perc', 0.20),  # perc of cash to use for operation\n    )\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        cashtouse = self.p.perc * cash\n        if BTVERSION > (1, 7, 1, 93):\n            size = comminfo.getsize(data.close[0], cashtouse)\n        else:\n            size = cashtouse // data.close[0]\n        return size\n\n\nclass TheStrategy(bt.Strategy):\n    '''\n    This strategy is loosely based on some of the examples from the Van\n    K. Tharp book: *Trade Your Way To Financial Freedom*. The logic:\n\n      - Enter the market if:\n        - The MACD.macd line crosses the MACD.signal line to the upside\n        - The Simple Moving Average has a negative direction in the last x\n          periods (actual value below value x periods ago)\n\n     - Set a stop price x times the ATR value away from the close\n\n     - If in the market:\n\n       - Check if the current close has gone below the stop price. If yes,\n         exit.\n       - If not, update the stop price if the new stop price would be higher\n         than the current\n    '''\n\n    params = (\n        # Standard MACD Parameters\n        ('macd1', 12),\n        ('macd2', 26),\n        ('macdsig', 9),\n        ('atrperiod', 14),  # ATR Period (standard)\n        ('atrdist', 3.0),   # ATR distance for stop price\n        ('smaperiod', 30),  # SMA Period (pretty standard)\n        ('dirperiod', 10),  # Lookback period to consider SMA trend direction\n    )\n\n    def notify_order(self, order):\n        if order.status == order.Completed:\n            pass\n\n        if not order.alive():\n            self.order = None  # indicate no order is pending\n\n    def __init__(self):\n        self.macd = bt.indicators.MACD(self.data,\n                                       period_me1=self.p.macd1,\n                                       period_me2=self.p.macd2,\n                                       period_signal=self.p.macdsig)\n\n        # Cross of macd.macd and macd.signal\n        self.mcross = bt.indicators.CrossOver(self.macd.macd, self.macd.signal)\n\n        # To set the stop price\n        self.atr = bt.indicators.ATR(self.data, period=self.p.atrperiod)\n\n        # Control market trend\n        self.sma = bt.indicators.SMA(self.data, period=self.p.smaperiod)\n        self.smadir = self.sma - self.sma(-self.p.dirperiod)\n\n    def start(self):\n        self.order = None  # sentinel to avoid operrations on pending order\n\n    def next(self):\n        if self.order:\n            return  # pending order execution\n\n        if not self.position:  # not in the market\n            if self.mcross[0] > 0.0 and self.smadir < 0.0:\n                self.order = self.buy()\n                pdist = self.atr[0] * self.p.atrdist\n                self.pstop = self.data.close[0] - pdist\n\n        else:  # in the market\n            pclose = self.data.close[0]\n            pstop = self.pstop\n\n            if pclose < pstop:\n                self.close()  # stop met - get out\n            else:\n                pdist = self.atr[0] * self.p.atrdist\n                # Update only if greater than\n                self.pstop = max(pstop, pclose - pdist)\n\n\nDATASETS = {\n    'yhoo': '../../datas/yhoo-1996-2014.txt',\n    'orcl': '../../datas/orcl-1995-2014.txt',\n    'nvda': '../../datas/nvda-1999-2014.txt',\n}\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n    comminfo = bt.commissions.CommInfo_Stocks_Perc(commission=args.commperc,\n                                                   percabs=True)\n\n    cerebro.broker.addcommissioninfo(comminfo)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # if dataset is None, args.data has been given\n    dataname = DATASETS.get(args.dataset, args.data)\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=dataname, **dkwargs)\n    cerebro.adddata(data0)\n\n    cerebro.addstrategy(TheStrategy,\n                        macd1=args.macd1, macd2=args.macd2,\n                        macdsig=args.macdsig,\n                        atrperiod=args.atrperiod,\n                        atrdist=args.atrdist,\n                        smaperiod=args.smaperiod,\n                        dirperiod=args.dirperiod)\n\n    cerebro.addsizer(FixedPerc, perc=args.cashalloc)\n\n    # Add TimeReturn Analyzers for self and the benchmark data\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, _name='alltime_roi',\n                        timeframe=bt.TimeFrame.NoTimeFrame)\n\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, data=data0, _name='benchmark',\n                        timeframe=bt.TimeFrame.NoTimeFrame)\n\n    # Add TimeReturn Analyzers fot the annuyl returns\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)\n    # Add a SharpeRatio\n    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years,\n                        riskfreerate=args.riskfreerate)\n\n    # Add SQN to qualify the trades\n    cerebro.addanalyzer(bt.analyzers.SQN)\n    cerebro.addobserver(bt.observers.DrawDown)  # visualize the drawdown evol\n\n    results = cerebro.run()\n    st0 = results[0]\n\n    for alyzer in st0.analyzers:\n        alyzer.print()\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Tharp example with MACD')\n\n    group1 = parser.add_mutually_exclusive_group(required=True)\n    group1.add_argument('--data', required=False, default=None,\n                        help='Specific data to be read in')\n\n    group1.add_argument('--dataset', required=False, action='store',\n                        default=None, choices=DATASETS.keys(),\n                        help='Choose one of the predefined data sets')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--cashalloc', required=False, action='store',\n                        type=float, default=0.20,\n                        help=('Perc (abs) of cash to allocate for ops'))\n\n    parser.add_argument('--commperc', required=False, action='store',\n                        type=float, default=0.0033,\n                        help=('Perc (abs) commision in each operation. '\n                              '0.001 -> 0.1%%, 0.01 -> 1%%'))\n\n    parser.add_argument('--macd1', required=False, action='store',\n                        type=int, default=12,\n                        help=('MACD Period 1 value'))\n\n    parser.add_argument('--macd2', required=False, action='store',\n                        type=int, default=26,\n                        help=('MACD Period 2 value'))\n\n    parser.add_argument('--macdsig', required=False, action='store',\n                        type=int, default=9,\n                        help=('MACD Signal Period value'))\n\n    parser.add_argument('--atrperiod', required=False, action='store',\n                        type=int, default=14,\n                        help=('ATR Period To Consider'))\n\n    parser.add_argument('--atrdist', required=False, action='store',\n                        type=float, default=3.0,\n                        help=('ATR Factor for stop price calculation'))\n\n    parser.add_argument('--smaperiod', required=False, action='store',\n                        type=int, default=30,\n                        help=('Period for the moving average'))\n\n    parser.add_argument('--dirperiod', required=False, action='store',\n                        type=int, default=10,\n                        help=('Period for SMA direction calculation'))\n\n    parser.add_argument('--riskfreerate', required=False, action='store',\n                        type=float, default=0.01,\n                        help=('Risk free rate in Perc (abs) of the asset for '\n                              'the Sharpe Ratio'))\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/memory-savings/memory-savings.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport sys\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nimport backtrader.utils.flushfile\n\n\nclass TestInd(bt.Indicator):\n    lines = ('a', 'b')\n\n    def __init__(self):\n        self.lines.a = b = self.data.close - self.data.high\n        self.lines.b = btind.SMA(b, period=20)\n\n\nclass St(bt.Strategy):\n    params = (\n        ('datalines', False),\n        ('lendetails', False),\n    )\n\n    def __init__(self):\n        btind.SMA()\n        btind.Stochastic()\n        btind.RSI()\n        btind.MACD()\n        btind.CCI()\n        TestInd().plotinfo.plot = False\n\n    def next(self):\n        if self.p.datalines:\n            txt = ','.join(\n                ['%04d' % len(self),\n                 '%04d' % len(self.data0),\n                 self.data.datetime.date(0).isoformat()]\n            )\n\n            print(txt)\n\n    def loglendetails(self, msg):\n        if self.p.lendetails:\n            print(msg)\n\n    def stop(self):\n        super(St, self).stop()\n\n        tlen = 0\n        self.loglendetails('-- Evaluating Datas')\n        for i, data in enumerate(self.datas):\n            tdata = 0\n            for line in data.lines:\n                tdata += len(line.array)\n                tline = len(line.array)\n\n            tlen += tdata\n            logtxt = '---- Data {} Total Cells {} - Cells per Line {}'\n            self.loglendetails(logtxt.format(i, tdata, tline))\n\n        self.loglendetails('-- Evaluating Indicators')\n        for i, ind in enumerate(self.getindicators()):\n            tlen += self.rindicator(ind, i, 0)\n\n        self.loglendetails('-- Evaluating Observers')\n        for i, obs in enumerate(self.getobservers()):\n            tobs = 0\n            for line in obs.lines:\n                tobs += len(line.array)\n                tline = len(line.array)\n\n            tlen += tdata\n            logtxt = '---- Observer {} Total Cells {} - Cells per Line {}'\n            self.loglendetails(logtxt.format(i, tobs, tline))\n\n        print('Total memory cells used: {}'.format(tlen))\n\n    def rindicator(self, ind, i, deep):\n        tind = 0\n        for line in ind.lines:\n            tind += len(line.array)\n            tline = len(line.array)\n\n        thisind = tind\n\n        tsub = 0\n        for j, sind in enumerate(ind.getindicators()):\n            tsub += self.rindicator(sind, j, deep + 1)\n\n        iname = ind.__class__.__name__.split('.')[-1]\n\n        logtxt = '---- Indicator {}.{} {} Total Cells {} - Cells per line {}'\n        self.loglendetails(logtxt.format(deep, i, iname, tind, tline))\n        logtxt = '---- SubIndicators Total Cells {}'\n        self.loglendetails(logtxt.format(deep, i, iname, tsub))\n\n        return tind + tsub\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    data = btfeeds.YahooFinanceCSVData(dataname=args.data)\n    cerebro.adddata(data)\n    cerebro.addstrategy(\n        St, datalines=args.datalines, lendetails=args.lendetails)\n\n    cerebro.run(runonce=False, exactbars=args.save)\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Check Memory Savings')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--save', required=False, type=int, default=0,\n                        help=('Memory saving level [1, 0, -1, -2]'))\n\n    parser.add_argument('--datalines', required=False, action='store_true',\n                        help=('Print data lines'))\n\n    parser.add_argument('--lendetails', required=False, action='store_true',\n                        help=('Print individual items memory usage'))\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help=('Plot the result'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/mixing-timeframes/mixing-timeframes.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nimport backtrader.utils.flushfile\n\n\nclass St(bt.Strategy):\n    params = dict(multi=True)\n\n    def __init__(self):\n        self.pp = pp = btind.PivotPoint(self.data1)\n        pp.plotinfo.plot = False  # deactivate plotting\n\n        if self.p.multi:\n            pp1 = pp()  # couple the entire indicators\n            self.sellsignal = self.data0.close < pp1.s1\n        else:\n            self.sellsignal = self.data0.close < pp.s1()\n\n    def next(self):\n        txt = ','.join(\n            ['%04d' % len(self),\n             '%04d' % len(self.data0),\n             '%04d' % len(self.data1),\n             self.data.datetime.date(0).isoformat(),\n             '%.2f' % self.data0.close[0],\n             '%.2f' % self.pp.s1[0],\n             '%.2f' % self.sellsignal[0]])\n\n        print(txt)\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    data = btfeeds.BacktraderCSVData(dataname=args.data)\n    cerebro.adddata(data)\n    cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)\n\n    cerebro.addstrategy(St, multi=args.multi)\n\n    cerebro.run(stdstats=False, runonce=False)\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pivot point and cross plotting')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--multi', required=False, action='store_true',\n                        help='Couple all lines of the indicator')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help=('Plot the result'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/multi-copy/multi-copy.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\n\n\nclass TheStrategy(bt.Strategy):\n    '''\n    This strategy is capable of:\n\n      - Going Long with a Moving Average upwards CrossOver\n\n      - Going Long again with a MACD upwards CrossOver\n\n      - Closing the aforementioned longs with the corresponding downwards\n        crossovers\n    '''\n\n    params = (\n        ('myname', None),\n        ('dtarget', None),\n        ('stake', 100),\n        ('macd1', 12),\n        ('macd2', 26),\n        ('macdsig', 9),\n        ('sma1', 10),\n        ('sma2', 30),\n    )\n\n    def notify_order(self, order):\n        if not order.alive():\n            if not order.isbuy():  # going flat\n                self.order = 0\n\n            if order.status == order.Completed:\n                tfields = [self.p.myname,\n                           len(self),\n                           order.data.datetime.date(),\n                           order.data._name,\n                           'BUY' * order.isbuy() or 'SELL',\n                           order.executed.size, order.executed.price]\n\n                print(','.join(str(x) for x in tfields))\n\n    def __init__(self):\n        # Choose data to buy from\n        self.dtarget = self.getdatabyname(self.p.dtarget)\n\n        # Create indicators\n        sma1 = bt.ind.SMA(self.dtarget, period=self.p.sma1)\n        sma2 = bt.ind.SMA(self.dtarget, period=self.p.sma2)\n        self.smasig = bt.ind.CrossOver(sma1, sma2)\n\n        macd = bt.ind.MACD(self.dtarget,\n                           period_me1=self.p.macd1,\n                           period_me2=self.p.macd2,\n                           period_signal=self.p.macdsig)\n\n        # Cross of macd.macd and macd.signal\n        self.macdsig = bt.ind.CrossOver(macd.macd, macd.signal)\n\n    def start(self):\n        self.order = 0  # sentinel to avoid operrations on pending order\n\n        tfields = ['Name', 'Length', 'Datetime', 'Operation/Names',\n                   'Position1.Size', 'Position2.Size']\n        print(','.join(str(x) for x in tfields))\n\n    def next(self):\n        tfields = [self.p.myname,\n                   len(self),\n                   self.data.datetime.date(),\n                   self.getposition(self.data0).size]\n        if len(self.datas) > 1:\n            tfields.append(self.getposition(self.data1).size)\n\n        print(','.join(str(x) for x in tfields))\n\n        buysize = self.p.stake // 2  # let each signal buy half\n        if self.macdsig[0] > 0.0:\n            self.buy(data=self.dtarget, size=buysize)\n\n        if self.smasig[0] > 0.0:\n            self.buy(data=self.dtarget, size=buysize)\n\n        size = self.getposition(self.dtarget).size\n\n        # if 2x in the market, let each potential close ... close 1/2\n        if size == self.p.stake:\n            size //= 2\n\n        if self.macdsig[0] < 0.0:\n            self.close(data=self.dtarget, size=size)\n\n        if self.smasig[0] < 0.0:\n            self.close(data=self.dtarget, size=size)\n\n\nclass TheStrategy2(TheStrategy):\n    '''\n    Subclass of TheStrategy to simply change the parameters\n\n    '''\n    params = (\n        ('stake', 200),\n        ('macd1', 15),\n        ('macd2', 22),\n        ('macdsig', 7),\n        ('sma1', 15),\n        ('sma2', 50),\n    )\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # if dataset is None, args.data has been given\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0, name='MyData0')\n\n    st0kwargs = dict()\n    if args.st0 is not None:\n        tmpdict = eval('dict(' + args.st0 + ')')  # args were passed\n        st0kwargs.update(tmpdict)\n\n    cerebro.addstrategy(TheStrategy,\n                        myname='St1', dtarget='MyData0', **st0kwargs)\n\n    if args.copydata:\n        data1 = data0.copyas('MyData1')\n        cerebro.adddata(data1)\n        dtarget = 'MyData1'\n\n    else:  # use same target\n        dtarget = 'MyData0'\n\n    st1kwargs = dict()\n    if args.st1 is not None:\n        tmpdict = eval('dict(' + args.st1 + ')')  # args were passed\n        st1kwargs.update(tmpdict)\n\n    cerebro.addstrategy(TheStrategy2,\n                        myname='St2', dtarget=dtarget, **st1kwargs)\n\n    results = cerebro.run()\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Tharp example with MACD')\n\n    # pgroup = parser.add_mutually_exclusive_group(required=True)\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2014.txt',\n                        help='Specific data0 to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--copydata', required=False, action='store_true',\n                        help=('Copy Data for 2nd strategy'))\n\n    parser.add_argument('--st0', required=False, action='store',\n                        default=None,\n                        help=('Params for 1st strategy: as a list of comma '\n                              'separated name=value pairs like: '\n                              'stake=100,macd1=12,macd2=26,macdsig=9,'\n                              'sma1=10,sma2=30'))\n\n    parser.add_argument('--st1', required=False, action='store',\n                        default=None,\n                        help=('Params for 1st strategy: as a list of comma '\n                              'separated name=value pairs like: '\n                              'stake=200,macd1=15,macd2=22,macdsig=7,'\n                              'sma1=15,sma2=50'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/multi-example/mult-values.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass TestSizer(bt.Sizer):\n    params = dict(stake=1)\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        dt, i = self.strategy.datetime.date(), data._id\n        s = self.p.stake * (1 + (not isbuy))\n        print('{} Data {} OType {} Sizing to {}'.format(\n            dt, data._name, ('buy' * isbuy) or 'sell', s))\n\n        return s\n\n\nclass St(bt.Strategy):\n    params = dict(\n        enter=[1, 3, 4],  # data ids are 1 based\n        hold=[7, 10, 15],  # data ids are 1 based\n        usebracket=True,\n        rawbracket=True,\n        pentry=0.015,\n        plimits=0.03,\n        valid=10,\n    )\n\n    def notify_order(self, order):\n        if order.status == order.Submitted:\n            return\n\n        dt, dn = self.datetime.date(), order.data._name\n        print('{} {} Order {} Status {}'.format(\n            dt, dn, order.ref, order.getstatusname())\n        )\n\n        whichord = ['main', 'stop', 'limit', 'close']\n        if not order.alive():  # not alive - nullify\n            dorders = self.o[order.data]\n            idx = dorders.index(order)\n            dorders[idx] = None\n            print('-- No longer alive {} Ref'.format(whichord[idx]))\n\n            if all(x is None for x in dorders):\n                dorders[:] = []  # empty list - New orders allowed\n\n    def __init__(self):\n        self.o = dict()  # orders per data (main, stop, limit, manual-close)\n        self.holding = dict()  # holding periods per data\n\n    def next(self):\n        for i, d in enumerate(self.datas):\n            dt, dn = self.datetime.date(), d._name\n            pos = self.getposition(d).size\n            print('{} {} Position {}'.format(dt, dn, pos))\n\n            if not pos and not self.o.get(d, None):  # no market / no orders\n                if dt.weekday() == self.p.enter[i]:\n                    if not self.p.usebracket:\n                        self.o[d] = [self.buy(data=d)]\n                        print('{} {} Buy {}'.format(dt, dn, self.o[d][0].ref))\n\n                    else:\n                        p = d.close[0] * (1.0 - self.p.pentry)\n                        pstp = p * (1.0 - self.p.plimits)\n                        plmt = p * (1.0 + self.p.plimits)\n                        valid = datetime.timedelta(self.p.valid)\n\n                        if self.p.rawbracket:\n                            o1 = self.buy(data=d, exectype=bt.Order.Limit,\n                                          price=p, valid=valid, transmit=False)\n\n                            o2 = self.sell(data=d, exectype=bt.Order.Stop,\n                                           price=pstp, size=o1.size,\n                                           transmit=False, parent=o1)\n\n                            o3 = self.sell(data=d, exectype=bt.Order.Limit,\n                                           price=plmt, size=o1.size,\n                                           transmit=True, parent=o1)\n\n                            self.o[d] = [o1, o2, o3]\n\n                        else:\n                            self.o[d] = self.buy_bracket(\n                                data=d, price=p, stopprice=pstp,\n                                limitprice=plmt, oargs=dict(valid=valid))\n\n                        print('{} {} Main {} Stp {} Lmt {}'.format(\n                            dt, dn, *(x.ref for x in self.o[d])))\n\n                    self.holding[d] = 0\n\n            elif pos:  # exiting can also happen after a number of days\n                self.holding[d] += 1\n                if self.holding[d] >= self.p.hold[i]:\n                    o = self.close(data=d)\n                    self.o[d].append(o)  # manual order to list of orders\n                    print('{} {} Manual Close {}'.format(dt, dn, o.ref))\n                    if self.p.usebracket:\n                        self.cancel(self.o[d][1])  # cancel stop side\n                        print('{} {} Cancel {}'.format(dt, dn, self.o[d][1]))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0, name='d0')\n\n    data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **kwargs)\n    data1.plotinfo.plotmaster = data0\n    cerebro.adddata(data1, name='d1')\n\n    data2 = bt.feeds.YahooFinanceCSVData(dataname=args.data2, **kwargs)\n    data2.plotinfo.plotmaster = data0\n    cerebro.adddata(data2, name='d2')\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n    cerebro.broker.setcommission(commission=0.001)\n\n    # Sizer\n    # cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n    cerebro.addsizer(TestSizer, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Multiple Values and Brackets'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/nvda-1999-2014.txt',\n                        required=False, help='Data0 to read in')\n\n    parser.add_argument('--data1', default='../../datas/yhoo-1996-2014.txt',\n                        required=False, help='Data1 to read in')\n\n    parser.add_argument('--data2', default='../../datas/orcl-1995-2014.txt',\n                        required=False, help='Data1 to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='2001-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='2007-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/multidata-strategy/multidata-strategy-unaligned.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass MultiDataStrategy(bt.Strategy):\n    '''\n    This strategy operates on 2 datas. The expectation is that the 2 datas are\n    correlated and the 2nd data is used to generate signals on the 1st\n\n      - Buy/Sell Operationss will be executed on the 1st data\n      - The signals are generated using a Simple Moving Average on the 2nd data\n        when the close price crosses upwwards/downwards\n\n    The strategy is a long-only strategy\n    '''\n    params = dict(\n        period=15,\n        stake=10,\n        printout=True,\n    )\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = None\n\n        # Create SMA on 2nd data\n        sma = btind.MovAv.SMA(self.data1, period=self.p.period)\n        # Create a CrossOver Signal from close an moving average\n        self.signal = btind.CrossOver(self.data1.close, sma)\n\n    def next(self):\n        if self.orderid:\n            return  # if an order is active, no new orders are allowed\n\n        if self.p.printout:\n            print('Self  len:', len(self))\n            print('Data0 len:', len(self.data0))\n            print('Data1 len:', len(self.data1))\n            print('Data0 len == Data1 len:',\n                  len(self.data0) == len(self.data1))\n\n            print('Data0 dt:', self.data0.datetime.datetime())\n            print('Data1 dt:', self.data1.datetime.datetime())\n\n        if not self.position:  # not yet in market\n            if self.signal > 0.0:  # cross upwards\n                self.log('BUY CREATE , %.2f' % self.data1.close[0])\n                self.buy(size=self.p.stake)\n\n        else:  # in the market\n            if self.signal < 0.0:  # crosss downwards\n                self.log('SELL CREATE , %.2f' % self.data1.close[0])\n                self.sell(size=self.p.stake)\n\n    def stop(self):\n        print('==================================================')\n        print('Starting Value - %.2f' % self.broker.startingcash)\n        print('Ending   Value - %.2f' % self.broker.getvalue())\n        print('==================================================')\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data0 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data0,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data0)\n\n    # Create the 2nd data\n    data1 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data1,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 2nd data to cerebro\n    cerebro.adddata(data1)\n\n    # Add the strategy\n    cerebro.addstrategy(MultiDataStrategy,\n                        period=args.period,\n                        stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.commperc)\n\n    # And run it\n    cerebro.run(runonce=not args.runnext,\n                preload=not args.nopreload,\n                oldsync=args.oldsync)\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiData Strategy')\n\n    parser.add_argument('--data0', '-d0',\n                        default='../../datas/orcl-2003-2005.txt',\n                        help='1st data into the system')\n\n    parser.add_argument('--data1', '-d1',\n                        default='../../datas/yhoo-2003-2005.txt',\n                        help='2nd data into the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2003-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2005-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--runnext', action='store_true',\n                        help='Use next by next instead of runonce')\n\n    parser.add_argument('--nopreload', action='store_true',\n                        help='Do not preload the data')\n\n    parser.add_argument('--oldsync', action='store_true',\n                        help='Use old data synchronization method')\n\n    parser.add_argument('--commperc', default=0.005, type=float,\n                        help='Percentage commission (0.005 is 0.5%%')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/multidata-strategy/multidata-strategy.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass MultiDataStrategy(bt.Strategy):\n    '''\n    This strategy operates on 2 datas. The expectation is that the 2 datas are\n    correlated and the 2nd data is used to generate signals on the 1st\n\n      - Buy/Sell Operationss will be executed on the 1st data\n      - The signals are generated using a Simple Moving Average on the 2nd data\n        when the close price crosses upwwards/downwards\n\n    The strategy is a long-only strategy\n    '''\n    params = dict(\n        period=15,\n        stake=10,\n        printout=True,\n    )\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = None\n\n        # Create SMA on 2nd data\n        sma = btind.MovAv.SMA(self.data1, period=self.p.period)\n        # Create a CrossOver Signal from close an moving average\n        self.signal = btind.CrossOver(self.data1.close, sma)\n\n    def next(self):\n        if self.orderid:\n            return  # if an order is active, no new orders are allowed\n\n        if self.p.printout:\n            print('Self  len:', len(self))\n            print('Data0 len:', len(self.data0))\n            print('Data1 len:', len(self.data1))\n            print('Data0 len == Data1 len:',\n                  len(self.data0) == len(self.data1))\n\n            print('Data0 dt:', self.data0.datetime.datetime())\n            print('Data1 dt:', self.data1.datetime.datetime())\n\n        if not self.position:  # not yet in market\n            if self.signal > 0.0:  # cross upwards\n                self.log('BUY CREATE , %.2f' % self.data1.close[0])\n                self.buy(size=self.p.stake)\n                self.buy(data=self.data1, size=self.p.stake)\n\n        else:  # in the market\n            if self.signal < 0.0:  # crosss downwards\n                self.log('SELL CREATE , %.2f' % self.data1.close[0])\n                self.sell(size=self.p.stake)\n                self.sell(data=self.data1, size=self.p.stake)\n\n    def stop(self):\n        print('==================================================')\n        print('Starting Value - %.2f' % self.broker.startingcash)\n        print('Ending   Value - %.2f' % self.broker.getvalue())\n        print('==================================================')\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data0 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data0,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data0)\n\n    # Create the 2nd data\n    data1 = btfeeds.YahooFinanceCSVData(\n        dataname=args.data1,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 2nd data to cerebro\n    cerebro.adddata(data1)\n\n    # Add the strategy\n    cerebro.addstrategy(MultiDataStrategy,\n                        period=args.period,\n                        stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.commperc)\n\n    # And run it\n    cerebro.run(runonce=not args.runnext,\n                preload=not args.nopreload,\n                oldsync=args.oldsync)\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiData Strategy')\n\n    parser.add_argument('--data0', '-d0',\n                        default='../../datas/orcl-1995-2014.txt',\n                        help='1st data into the system')\n\n    parser.add_argument('--data1', '-d1',\n                        default='../../datas/yhoo-1996-2014.txt',\n                        help='2nd data into the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2003-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2005-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--runnext', action='store_true',\n                        help='Use next by next instead of runonce')\n\n    parser.add_argument('--nopreload', action='store_true',\n                        help='Do not preload the data')\n\n    parser.add_argument('--oldsync', action='store_true',\n                        help='Use old data synchronization method')\n\n    parser.add_argument('--commperc', default=0.005, type=float,\n                        help='Percentage commission (0.005 is 0.5%%')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/multitrades/mtradeobserver.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nimport backtrader as bt\n\n\nclass MTradeObserver(bt.observer.Observer):\n    lines = ('Id_0', 'Id_1', 'Id_2')\n\n    plotinfo = dict(plot=True, subplot=True, plotlinelabels=True)\n\n    plotlines = dict(\n        Id_0=dict(marker='*', markersize=8.0, color='lime', fillstyle='full'),\n        Id_1=dict(marker='o', markersize=8.0, color='red', fillstyle='full'),\n        Id_2=dict(marker='s', markersize=8.0, color='blue', fillstyle='full')\n    )\n\n    def next(self):\n        for trade in self._owner._tradespending:\n\n            if trade.data is not self.data:\n                continue\n\n            if not trade.isclosed:\n                continue\n\n            self.lines[trade.tradeid][0] = trade.pnlcomm\n"
  },
  {
    "path": "samples/multitrades/multitrades.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport itertools\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\nimport mtradeobserver\n\n\nclass MultiTradeStrategy(bt.Strategy):\n    '''This strategy buys/sells upong the close price crossing\n    upwards/downwards a Simple Moving Average.\n\n    It can be a long-only strategy by setting the param \"onlylong\" to True\n    '''\n    params = dict(\n        period=15,\n        stake=1,\n        printout=False,\n        onlylong=False,\n        mtrade=False,\n    )\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def __init__(self):\n        # To control operation entries\n        self.order = None\n\n        # Create SMA on 2nd data\n        sma = btind.MovAv.SMA(self.data, period=self.p.period)\n        # Create a CrossOver Signal from close an moving average\n        self.signal = btind.CrossOver(self.data.close, sma)\n\n        # To alternate amongst different tradeids\n        if self.p.mtrade:\n            self.tradeid = itertools.cycle([0, 1, 2])\n        else:\n            self.tradeid = itertools.cycle([0])\n\n    def next(self):\n        if self.order:\n            return  # if an order is active, no new orders are allowed\n\n        if self.signal > 0.0:  # cross upwards\n            if self.position:\n                self.log('CLOSE SHORT , %.2f' % self.data.close[0])\n                self.close(tradeid=self.curtradeid)\n\n            self.log('BUY CREATE , %.2f' % self.data.close[0])\n            self.curtradeid = next(self.tradeid)\n            self.buy(size=self.p.stake, tradeid=self.curtradeid)\n\n        elif self.signal < 0.0:\n            if self.position:\n                self.log('CLOSE LONG , %.2f' % self.data.close[0])\n                self.close(tradeid=self.curtradeid)\n\n            if not self.p.onlylong:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n                self.curtradeid = next(self.tradeid)\n                self.sell(size=self.p.stake, tradeid=self.curtradeid)\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.order = None\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %\n                     (trade.pnl, trade.pnlcomm))\n\n        elif trade.justopened:\n            self.log('TRADE OPENED, SIZE %2d' % trade.size)\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add the strategy\n    cerebro.addstrategy(MultiTradeStrategy,\n                        period=args.period,\n                        onlylong=args.onlylong,\n                        stake=args.stake,\n                        printout=args.printout,\n                        mtrade=args.mtrade)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.comm,\n                                 mult=args.mult,\n                                 margin=args.margin)\n\n    # Add the MultiTradeObserver\n    cerebro.addobserver(mtradeobserver.MTradeObserver)\n\n    # And run it\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiTrades')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--mtrade', action='store_true',\n                        help='Activate MultiTrade Ids')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--onlylong', '-ol', action='store_true',\n                        help='Do only long operations')\n\n    parser.add_argument('--printout', action='store_true',\n                        help='Print operation log from strategy')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--comm', default=2, type=float,\n                        help='Commission for operation')\n\n    parser.add_argument('--mult', default=10, type=int,\n                        help='Multiplier for futures')\n\n    parser.add_argument('--margin', default=2000.0, type=float,\n                        help='Margin for each future')\n\n    parser.add_argument('--stake', default=1, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/oandatest/oandatest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nfrom backtrader.utils import flushfile  # win32 quick stdout flushing\n\nStoreCls = bt.stores.OandaStore\nDataCls = bt.feeds.OandaData\n# BrokerCls = bt.brokers.OandaBroker\n\n\nclass TestStrategy(bt.Strategy):\n    params = dict(\n        smaperiod=5,\n        trade=False,\n        stake=10,\n        exectype=bt.Order.Market,\n        stopafter=0,\n        valid=None,\n        cancel=0,\n        donotcounter=False,\n        sell=False,\n        usebracket=False,\n    )\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = list()\n        self.order = None\n\n        self.counttostop = 0\n        self.datastatus = 0\n\n        # Create SMA on 2nd data\n        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)\n\n        print('--------------------------------------------------')\n        print('Strategy Created')\n        print('--------------------------------------------------')\n\n    def notify_data(self, data, status, *args, **kwargs):\n        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)\n        if status == data.LIVE:\n            self.counttostop = self.p.stopafter\n            self.datastatus = 1\n\n    def notify_store(self, msg, *args, **kwargs):\n        print('*' * 5, 'STORE NOTIF:', msg)\n\n    def notify_order(self, order):\n        if order.status in [order.Completed, order.Cancelled, order.Rejected]:\n            self.order = None\n\n        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())\n        print(order)\n        print('-' * 50, 'ORDER END')\n\n    def notify_trade(self, trade):\n        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())\n        print(trade)\n        print('-' * 50, 'TRADE END')\n\n    def prenext(self):\n        self.next(frompre=True)\n\n    def next(self, frompre=False):\n        txt = list()\n        txt.append('Data0')\n        txt.append('%04d' % len(self.data0))\n        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n        txt.append('{:f}'.format(self.data.datetime[0]))\n        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))\n        txt.append('{:f}'.format(self.data.open[0]))\n        txt.append('{:f}'.format(self.data.high[0]))\n        txt.append('{:f}'.format(self.data.low[0]))\n        txt.append('{:f}'.format(self.data.close[0]))\n        txt.append('{:6d}'.format(int(self.data.volume[0])))\n        txt.append('{:d}'.format(int(self.data.openinterest[0])))\n        txt.append('{:f}'.format(self.sma[0]))\n        print(', '.join(txt))\n\n        if len(self.datas) > 1 and len(self.data1):\n            txt = list()\n            txt.append('Data1')\n            txt.append('%04d' % len(self.data1))\n            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n            txt.append('{}'.format(self.data1.datetime[0]))\n            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))\n            txt.append('{}'.format(self.data1.open[0]))\n            txt.append('{}'.format(self.data1.high[0]))\n            txt.append('{}'.format(self.data1.low[0]))\n            txt.append('{}'.format(self.data1.close[0]))\n            txt.append('{}'.format(self.data1.volume[0]))\n            txt.append('{}'.format(self.data1.openinterest[0]))\n            txt.append('{}'.format(float('NaN')))\n            print(', '.join(txt))\n\n        if self.counttostop:  # stop after x live lines\n            self.counttostop -= 1\n            if not self.counttostop:\n                self.env.runstop()\n                return\n\n        if not self.p.trade:\n            return\n\n        if self.datastatus and not self.position and len(self.orderid) < 1:\n            if not self.p.usebracket:\n                if not self.p.sell:\n                    # price = round(self.data0.close[0] * 0.90, 2)\n                    price = self.data0.close[0] - 0.005\n                    self.order = self.buy(size=self.p.stake,\n                                          exectype=self.p.exectype,\n                                          price=price,\n                                          valid=self.p.valid)\n                else:\n                    # price = round(self.data0.close[0] * 1.10, 4)\n                    price = self.data0.close[0] - 0.05\n                    self.order = self.sell(size=self.p.stake,\n                                           exectype=self.p.exectype,\n                                           price=price,\n                                           valid=self.p.valid)\n\n            else:\n                print('USING BRACKET')\n                price = self.data0.close[0] - 0.05\n                self.order, _, _ = self.buy_bracket(size=self.p.stake,\n                                                    exectype=bt.Order.Market,\n                                                    price=price,\n                                                    stopprice=price - 0.10,\n                                                    limitprice=price + 0.10,\n                                                    valid=self.p.valid)\n\n            self.orderid.append(self.order)\n        elif self.position and not self.p.donotcounter:\n            if self.order is None:\n                if not self.p.sell:\n                    self.order = self.sell(size=self.p.stake // 2,\n                                           exectype=bt.Order.Market,\n                                           price=self.data0.close[0])\n                else:\n                    self.order = self.buy(size=self.p.stake // 2,\n                                          exectype=bt.Order.Market,\n                                          price=self.data0.close[0])\n\n            self.orderid.append(self.order)\n\n        elif self.order is not None and self.p.cancel:\n            if self.datastatus > self.p.cancel:\n                self.cancel(self.order)\n\n        if self.datastatus:\n            self.datastatus += 1\n\n    def start(self):\n        if self.data0.contractdetails is not None:\n            print('-- Contract Details:')\n            print(self.data0.contractdetails)\n\n        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',\n                  'OpenInterest', 'SMA']\n        print(', '.join(header))\n\n        self.done = False\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    storekwargs = dict(\n        token=args.token,\n        account=args.account,\n        practice=not args.live\n    )\n\n    if not args.no_store:\n        store = StoreCls(**storekwargs)\n\n    if args.broker:\n        if args.no_store:\n            broker = BrokerCls(**storekwargs)\n        else:\n            broker = store.getbroker()\n\n        cerebro.setbroker(broker)\n\n    timeframe = bt.TimeFrame.TFrame(args.timeframe)\n    # Manage data1 parameters\n    tf1 = args.timeframe1\n    tf1 = bt.TimeFrame.TFrame(tf1) if tf1 is not None else timeframe\n    cp1 = args.compression1\n    cp1 = cp1 if cp1 is not None else args.compression\n\n    if args.resample or args.replay:\n        datatf = datatf1 = bt.TimeFrame.Ticks\n        datacomp = datacomp1 = 1\n    else:\n        datatf = timeframe\n        datacomp = args.compression\n        datatf1 = tf1\n        datacomp1 = cp1\n\n    fromdate = None\n    if args.fromdate:\n        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))\n        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)\n\n    DataFactory = DataCls if args.no_store else store.getdata\n\n    datakwargs = dict(\n        timeframe=datatf, compression=datacomp,\n        qcheck=args.qcheck,\n        historical=args.historical,\n        fromdate=fromdate,\n        bidask=args.bidask,\n        useask=args.useask,\n        backfill_start=not args.no_backfill_start,\n        backfill=not args.no_backfill,\n        tz=args.timezone\n    )\n\n    if args.no_store and not args.broker:   # neither store nor broker\n        datakwargs.update(storekwargs)  # pass the store args over the data\n\n    data0 = DataFactory(dataname=args.data0, **datakwargs)\n\n    data1 = None\n    if args.data1 is not None:\n        if args.data1 != args.data0:\n            datakwargs['timeframe'] = datatf1\n            datakwargs['compression'] = datacomp1\n            data1 = DataFactory(dataname=args.data1, **datakwargs)\n        else:\n            data1 = data0\n\n    rekwargs = dict(\n        timeframe=timeframe, compression=args.compression,\n        bar2edge=not args.no_bar2edge,\n        adjbartime=not args.no_adjbartime,\n        rightedge=not args.no_rightedge,\n        takelate=not args.no_takelate,\n    )\n\n    if args.replay:\n        cerebro.replaydata(data0, **rekwargs)\n\n        if data1 is not None:\n            rekwargs['timeframe'] = tf1\n            rekwargs['compression'] = cp1\n            cerebro.replaydata(data1, **rekwargs)\n\n    elif args.resample:\n        cerebro.resampledata(data0, **rekwargs)\n\n        if data1 is not None:\n            rekwargs['timeframe'] = tf1\n            rekwargs['compression'] = cp1\n            cerebro.resampledata(data1, **rekwargs)\n\n    else:\n        cerebro.adddata(data0)\n        if data1 is not None:\n            cerebro.adddata(data1)\n\n    if args.valid is None:\n        valid = None\n    else:\n        valid = datetime.timedelta(seconds=args.valid)\n    # Add the strategy\n    cerebro.addstrategy(TestStrategy,\n                        smaperiod=args.smaperiod,\n                        trade=args.trade,\n                        exectype=bt.Order.ExecType(args.exectype),\n                        stake=args.stake,\n                        stopafter=args.stopafter,\n                        valid=valid,\n                        cancel=args.cancel,\n                        donotcounter=args.donotcounter,\n                        sell=args.sell,\n                        usebracket=args.usebracket)\n\n    # Live data ... avoid long data accumulation by switching to \"exactbars\"\n    cerebro.run(exactbars=args.exactbars)\n    if args.exactbars < 1:  # plotting is possible\n        if args.plot:\n            pkwargs = dict(style='line')\n            if args.plot is not True:  # evals to True but is not True\n                npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n                pkwargs.update(npkwargs)\n\n            cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Test Oanda integration')\n\n    parser.add_argument('--exactbars', default=1, type=int,\n                        required=False, action='store',\n                        help='exactbars level, use 0/-1/-2 to enable plotting')\n\n    parser.add_argument('--stopafter', default=0, type=int,\n                        required=False, action='store',\n                        help='Stop after x lines of LIVE data')\n\n    parser.add_argument('--no-store',\n                        required=False, action='store_true',\n                        help='Do not use the store pattern')\n\n    parser.add_argument('--debug',\n                        required=False, action='store_true',\n                        help='Display all info received from source')\n\n    parser.add_argument('--token', default=None,\n                        required=True, action='store',\n                        help='Access token to use')\n\n    parser.add_argument('--account', default=None,\n                        required=True, action='store',\n                        help='Account identifier to use')\n\n    parser.add_argument('--live', default=None,\n                        required=False, action='store',\n                        help='Go to live server rather than practice')\n\n    parser.add_argument('--qcheck', default=0.5, type=float,\n                        required=False, action='store',\n                        help=('Timeout for periodic '\n                              'notification/resampling/replaying check'))\n\n    parser.add_argument('--data0', default=None,\n                        required=True, action='store',\n                        help='data 0 into the system')\n\n    parser.add_argument('--data1', default=None,\n                        required=False, action='store',\n                        help='data 1 into the system')\n\n    parser.add_argument('--timezone', default=None,\n                        required=False, action='store',\n                        help='timezone to get time output into (pytz names)')\n\n    parser.add_argument('--bidask', default=None,\n                        required=False, action='store_true',\n                        help='Use bidask ... if False use midpoint')\n\n    parser.add_argument('--useask', default=None,\n                        required=False, action='store_true',\n                        help='Use the \"ask\" of bidask prices/streaming')\n\n    parser.add_argument('--no-backfill_start',\n                        required=False, action='store_true',\n                        help='Disable backfilling at the start')\n\n    parser.add_argument('--no-backfill',\n                        required=False, action='store_true',\n                        help='Disable backfilling after a disconnection')\n\n    parser.add_argument('--historical',\n                        required=False, action='store_true',\n                        help='do only historical download')\n\n    parser.add_argument('--fromdate',\n                        required=False, action='store',\n                        help=('Starting date for historical download '\n                              'with format: YYYY-MM-DD[THH:MM:SS]'))\n\n    parser.add_argument('--smaperiod', default=5, type=int,\n                        required=False, action='store',\n                        help='Period to apply to the Simple Moving Average')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n\n    pgroup.add_argument('--replay',\n                        required=False, action='store_true',\n                        help='replay to chosen timeframe')\n\n    pgroup.add_argument('--resample',\n                        required=False, action='store_true',\n                        help='resample to chosen timeframe')\n\n    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[1],\n                        choices=bt.TimeFrame.Names,\n                        required=False, action='store',\n                        help='TimeFrame for Resample/Replay')\n\n    parser.add_argument('--compression', default=1, type=int,\n                        required=False, action='store',\n                        help='Compression for Resample/Replay')\n\n    parser.add_argument('--timeframe1', default=None,\n                        choices=bt.TimeFrame.Names,\n                        required=False, action='store',\n                        help='TimeFrame for Resample/Replay - Data1')\n\n    parser.add_argument('--compression1', default=None, type=int,\n                        required=False, action='store',\n                        help='Compression for Resample/Replay - Data1')\n\n    parser.add_argument('--no-takelate',\n                        required=False, action='store_true',\n                        help=('resample/replay, do not accept late samples'))\n\n    parser.add_argument('--no-bar2edge',\n                        required=False, action='store_true',\n                        help='no bar2edge for resample/replay')\n\n    parser.add_argument('--no-adjbartime',\n                        required=False, action='store_true',\n                        help='no adjbartime for resample/replay')\n\n    parser.add_argument('--no-rightedge',\n                        required=False, action='store_true',\n                        help='no rightedge for resample/replay')\n\n    parser.add_argument('--broker',\n                        required=False, action='store_true',\n                        help='Use Oanda as broker')\n\n    parser.add_argument('--trade',\n                        required=False, action='store_true',\n                        help='Do Sample Buy/Sell operations')\n\n    parser.add_argument('--sell',\n                        required=False, action='store_true',\n                        help='Start by selling')\n\n    parser.add_argument('--usebracket',\n                        required=False, action='store_true',\n                        help='Test buy_bracket')\n\n    parser.add_argument('--donotcounter',\n                        required=False, action='store_true',\n                        help='Do not counter the 1st operation')\n\n    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],\n                        choices=bt.Order.ExecTypes,\n                        required=False, action='store',\n                        help='Execution to Use when opening position')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        required=False, action='store',\n                        help='Stake to use in buy operations')\n\n    parser.add_argument('--valid', default=None, type=float,\n                        required=False, action='store',\n                        help='Seconds to keep the order alive (0 means DAY)')\n\n    parser.add_argument('--cancel', default=0, type=int,\n                        required=False, action='store',\n                        help=('Cancel a buy order after n bars in operation,'\n                              ' to be combined with orders like Limit'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example (escape the quotes if needed):\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/observer-benchmark/observer-benchmark.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n        ('period', 10),\n        ('printout', False),\n        ('stake', 1000),\n    )\n\n    def __init__(self):\n        sma = bt.indicators.SMA(self.data, period=self.p.period)\n        self.crossover = bt.indicators.CrossOver(self.data, sma)\n\n    def start(self):\n        if self.p.printout:\n            txtfields = list()\n            txtfields.append('Len')\n            txtfields.append('Datetime')\n            txtfields.append('Open')\n            txtfields.append('High')\n            txtfields.append('Low')\n            txtfields.append('Close')\n            txtfields.append('Volume')\n            txtfields.append('OpenInterest')\n            print(','.join(txtfields))\n\n    def next(self):\n        if self.p.printout:\n            # Print only 1st data ... is just a check that things are running\n            txtfields = list()\n            txtfields.append('%04d' % len(self))\n            txtfields.append(self.data.datetime.datetime(0).isoformat())\n            txtfields.append('%.2f' % self.data0.open[0])\n            txtfields.append('%.2f' % self.data0.high[0])\n            txtfields.append('%.2f' % self.data0.low[0])\n            txtfields.append('%.2f' % self.data0.close[0])\n            txtfields.append('%.2f' % self.data0.volume[0])\n            txtfields.append('%.2f' % self.data0.openinterest[0])\n            print(','.join(txtfields))\n\n        if self.position:\n            if self.crossover < 0.0:\n                if self.p.printout:\n                    print('CLOSE {} @%{}'.format(size,\n                                                 self.data.close[0]))\n                self.close()\n\n        else:\n            if self.crossover > 0.0:\n                self.buy(size=self.p.stake)\n                if self.p.printout:\n                    print('BUY   {} @%{}'.format(self.p.stake,\n                                                self.data.close[0]))\n\n\nTIMEFRAMES = {\n    None: None,\n    'days': bt.TimeFrame.Days,\n    'weeks': bt.TimeFrame.Weeks,\n    'months': bt.TimeFrame.Months,\n    'years': bt.TimeFrame.Years,\n    'notimeframe': bt.TimeFrame.NoTimeFrame,\n}\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0, name='Data0')\n\n    cerebro.addstrategy(St,\n                        period=args.period,\n                        stake=args.stake,\n                        printout=args.printout)\n\n    if args.timereturn:\n        cerebro.addobserver(bt.observers.TimeReturn,\n                            timeframe=TIMEFRAMES[args.timeframe])\n    else:\n        benchdata = data0\n        if args.benchdata1:\n            data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **dkwargs)\n            cerebro.adddata(data1, name='Data1')\n            benchdata = data1\n\n        cerebro.addobserver(bt.observers.Benchmark,\n                            data=benchdata,\n                            timeframe=TIMEFRAMES[args.timeframe])\n\n    cerebro.run()\n\n    if args.plot:\n        pkwargs = dict()\n        if args.plot is not True:  # evals to True but is not True\n            pkwargs = eval('dict(' + args.plot + ')')  # args were passed\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Benchmark/TimeReturn Observers Sample')\n\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data0 to be read in')\n\n    parser.add_argument('--data1', required=False,\n                        default='../../datas/orcl-1995-2014.txt',\n                        help='Data1 to be read in')\n\n    parser.add_argument('--benchdata1', required=False, action='store_true',\n                        help=('Benchmark against data1'))\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--printout', required=False, action='store_true',\n                        help=('Print data lines'))\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--period', required=False, action='store',\n                        type=int, default=30,\n                        help=('Period for the crossover moving average'))\n\n    parser.add_argument('--stake', required=False, action='store',\n                        type=int, default=1000,\n                        help=('Stake to apply for the buy operations'))\n\n    parser.add_argument('--timereturn', required=False, action='store_true',\n                        default=None,\n                        help=('Use TimeReturn observer instead of Benchmark'))\n\n    parser.add_argument('--timeframe', required=False, action='store',\n                        default=None, choices=TIMEFRAMES.keys(),\n                        help=('TimeFrame to apply to the Observer'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/observers/observers-default-drawdown.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport os.path\nimport time\nimport sys\n\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass MyStrategy(bt.Strategy):\n    params = (('smaperiod', 15),)\n\n    def log(self, txt, dt=None):\n        ''' Logging function fot this strategy'''\n        dt = dt or self.data.datetime[0]\n        if isinstance(dt, float):\n            dt = bt.num2date(dt)\n        print('%s, %s' % (dt.isoformat(), txt))\n\n    def __init__(self):\n        # SimpleMovingAverage on main data\n        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)\n        sma = btind.SMA(period=self.p.smaperiod)\n\n        # CrossOver (1: up, -1: down) close / sma\n        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)\n\n        # Sentinel to None: new ordersa allowed\n        self.order = None\n\n    def next(self):\n        # Access -1, because drawdown[0] will be calculated after \"next\"\n        self.log('DrawDown: %.2f' % self.stats.drawdown.drawdown[-1])\n        self.log('MaxDrawDown: %.2f' % self.stats.drawdown.maxdrawdown[-1])\n\n        # Check if we are in the market\n        if self.position:\n            if self.buysell < 0:\n                self.log('SELL CREATE, %.2f' % self.data.close[0])\n                self.sell()\n\n        elif self.buysell > 0:\n            self.log('BUY CREATE, %.2f' % self.data.close[0])\n            self.buy()\n\n\ndef runstrat():\n    cerebro = bt.Cerebro()\n\n    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')\n    cerebro.adddata(data)\n\n    cerebro.addobserver(bt.observers.DrawDown)\n    cerebro.addobserver(bt.observers.DrawDown_Old)\n\n    cerebro.addstrategy(MyStrategy)\n    cerebro.run()\n\n    cerebro.plot()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/observers/observers-default.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\nif __name__ == '__main__':\n    cerebro = bt.Cerebro(stdstats=True)\n    cerebro.addstrategy(bt.Strategy)\n\n    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')\n    cerebro.adddata(data)\n\n    cerebro.run()\n    cerebro.plot()\n"
  },
  {
    "path": "samples/observers/observers-orderobserver.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\nfrom orderobserver import OrderObserver\n\n\nclass MyStrategy(bt.Strategy):\n    params = (\n        ('smaperiod', 15),\n        ('limitperc', 1.0),\n        ('valid', 7),\n    )\n\n    def log(self, txt, dt=None):\n        ''' Logging function fot this strategy'''\n        dt = dt or self.data.datetime[0]\n        if isinstance(dt, float):\n            dt = bt.num2date(dt)\n        print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [order.Submitted, order.Accepted]:\n            # Buy/Sell order submitted/accepted to/by broker - Nothing to do\n            self.log('ORDER ACCEPTED/SUBMITTED', dt=order.created.dt)\n            self.order = order\n            return\n\n        if order.status in [order.Expired]:\n            self.log('BUY EXPIRED')\n\n        elif order.status in [order.Completed]:\n            if order.isbuy():\n                self.log(\n                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                    (order.executed.price,\n                     order.executed.value,\n                     order.executed.comm))\n\n            else:  # Sell\n                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                         (order.executed.price,\n                          order.executed.value,\n                          order.executed.comm))\n\n        # Sentinel to None: new orders allowed\n        self.order = None\n\n    def __init__(self):\n        # SimpleMovingAverage on main data\n        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)\n        sma = btind.SMA(period=self.p.smaperiod)\n\n        # CrossOver (1: up, -1: down) close / sma\n        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)\n\n        # Sentinel to None: new ordersa allowed\n        self.order = None\n\n    def next(self):\n        if self.order:\n            # pending order ... do nothing\n            return\n\n        # Check if we are in the market\n        if self.position:\n            if self.buysell < 0:\n                self.log('SELL CREATE, %.2f' % self.data.close[0])\n                self.sell()\n\n        elif self.buysell > 0:\n            plimit = self.data.close[0] * (1.0 - self.p.limitperc / 100.0)\n            valid = self.data.datetime.date(0) + \\\n                datetime.timedelta(days=self.p.valid)\n            self.log('BUY CREATE, %.2f' % plimit)\n            self.buy(exectype=bt.Order.Limit, price=plimit, valid=valid)\n\n\ndef runstrat():\n    cerebro = bt.Cerebro()\n\n    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')\n    cerebro.adddata(data)\n\n    cerebro.addobserver(OrderObserver)\n\n    cerebro.addstrategy(MyStrategy)\n    cerebro.run()\n\n    cerebro.plot()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/observers/orderobserver.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport math\n\nimport backtrader as bt\n\n\nclass OrderObserver(bt.observer.Observer):\n    lines = ('created', 'expired',)\n\n    plotinfo = dict(plot=True, subplot=True, plotlinelabels=True)\n\n    plotlines = dict(\n        created=dict(marker='*', markersize=8.0, color='lime', fillstyle='full'),\n        expired=dict(marker='s', markersize=8.0, color='red', fillstyle='full')\n    )\n\n    def next(self):\n        for order in self._owner._orderspending:\n            if order.data is not self.data:\n                continue\n\n            if not order.isbuy():\n                continue\n\n            # Only interested in \"buy\" orders, because the sell orders\n            # in the strategy are Market orders and will be immediately\n            # executed\n\n            if order.status in [bt.Order.Accepted, bt.Order.Submitted]:\n                self.lines.created[0] = order.created.price\n\n            elif order.status in [bt.Order.Expired]:\n                self.lines.expired[0] = order.created.price\n"
  },
  {
    "path": "samples/oco/oco.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        ma=bt.ind.SMA,\n        p1=5,\n        p2=15,\n        limit=0.005,\n        limdays=3,\n        limdays2=1000,\n        hold=10,\n        usetarget=False,  # use order_target_size\n        switchp1p2=False,  # switch prices of order1 and order2\n        oco1oco2=False,  # False - use order1 as oco for order3, else order2\n        do_oco=True,  # use oco or not\n    )\n\n    def notify_order(self, order):\n        print('{}: Order ref: {} / Type {} / Status {}'.format(\n            self.data.datetime.date(0),\n            order.ref, 'Buy' * order.isbuy() or 'Sell',\n            order.getstatusname()))\n\n        if order.status == order.Completed:\n            self.holdstart = len(self)\n\n        if not order.alive() and order.ref in self.orefs:\n            self.orefs.remove(order.ref)\n\n    def __init__(self):\n        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)\n        self.cross = bt.ind.CrossOver(ma1, ma2)\n\n        self.orefs = list()\n\n        if self.p.usetarget:\n            print('-' * 5, 'Using order_target_size')\n            self._dobuy = self.order_target_size\n            self._doclose = self.order_target_size\n        else:\n            self._dobuy = self.buy\n            self._doclose = self.close\n\n    def next(self):\n        if self.orefs:\n            return  # pending orders do nothing\n\n        if not self.position:\n            if self.cross > 0.0:  # crossing up\n\n                p1 = self.data.close[0] * (1.0 - self.p.limit)\n                p2 = self.data.close[0] * (1.0 - 2 * 2 * self.p.limit)\n                p3 = self.data.close[0] * (1.0 - 3 * 3 * self.p.limit)\n\n                valid1 = datetime.timedelta(self.p.limdays)\n                valid2 = valid3 = datetime.timedelta(self.p.limdays2)\n\n                if self.p.switchp1p2:\n                    p1, p2 = p2, p1\n                    valid1, valid2 = valid2, valid1\n\n                print('valid1 is:', valid1)\n\n                kargs = dict(exectype=bt.Order.Limit)\n                kargs[('target' * self.p.usetarget) or 'size'] = 1\n\n                o1 = self._dobuy(price=p1, valid=valid1, **kargs)\n                print('{}: Oref {} / Buy at {}'.format(\n                    self.datetime.date(), o1.ref, p1))\n\n                oco2 = o1 if self.p.do_oco else None\n                o2 = self._dobuy(price=p2, valid=valid2, oco=oco2, **kargs)\n\n                print('{}: Oref {} / Buy at {}'.format(\n                    self.datetime.date(), o2.ref, p2))\n\n                if self.p.do_oco:\n                    oco3 = o1 if not self.p.oco1oco2 else oco2\n                else:\n                    oco3 = None\n\n                o3 = self._dobuy(price=p3, valid=valid3, oco=oco3, **kargs)\n\n                print('{}: Oref {} / Buy at {}'.format(\n                    self.datetime.date(), o3.ref, p3))\n\n                self.orefs = [o1.ref, o2.ref, o3.ref]\n\n        else:  # in the market\n            if (len(self) - self.holdstart) >= self.p.hold:\n                self._doclose()\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/optimization/optimization.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport time\n\nfrom backtrader.utils.py3 import range\n\nimport backtrader as bt\nimport backtrader.indicators as btind\nimport backtrader.feeds as btfeeds\n\n\nclass OptimizeStrategy(bt.Strategy):\n    params = (('smaperiod', 15),\n              ('macdperiod1', 12),\n              ('macdperiod2', 26),\n              ('macdperiod3', 9),\n              )\n\n    def __init__(self):\n        # Add indicators to add load\n\n        btind.SMA(period=self.p.smaperiod)\n        btind.MACD(period_me1=self.p.macdperiod1,\n                   period_me2=self.p.macdperiod2,\n                   period_signal=self.p.macdperiod3)\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(maxcpus=args.maxcpus,\n                         runonce=not args.no_runonce,\n                         exactbars=args.exactbars,\n                         optdatas=not args.no_optdatas,\n                         optreturn=not args.no_optreturn)\n\n    # Add a strategy\n    cerebro.optstrategy(\n        OptimizeStrategy,\n        smaperiod=range(args.ma_low, args.ma_high),\n        macdperiod1=range(args.m1_low, args.m1_high),\n        macdperiod2=range(args.m2_low, args.m2_high),\n        macdperiod3=range(args.m3_low, args.m3_high),\n    )\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the Data Feed to Cerebro\n    cerebro.adddata(data)\n\n    # clock the start of the process\n    tstart = time.clock()\n\n    # Run over everything\n    stratruns = cerebro.run()\n\n    # clock the end of the process\n    tend = time.clock()\n\n    print('==================================================')\n    for stratrun in stratruns:\n        print('**************************************************')\n        for strat in stratrun:\n            print('--------------------------------------------------')\n            print(strat.p._getkwargs())\n    print('==================================================')\n\n    # print out the result\n    print('Time used:', str(tend - tstart))\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Optimization',\n        formatter_class=argparse.RawTextHelpFormatter,\n    )\n\n    parser.add_argument(\n        '--data', '-d',\n        default='../../datas/2006-day-001.txt',\n        help='data to add to the system')\n\n    parser.add_argument(\n        '--fromdate', '-f',\n        default='2006-01-01',\n        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument(\n        '--todate', '-t',\n        default='2006-12-31',\n        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument(\n        '--maxcpus', '-m',\n        type=int, required=False, default=0,\n        help=('Number of CPUs to use in the optimization'\n              '\\n'\n              '  - 0 (default): use all available CPUs\\n'\n              '  - 1 -> n: use as many as specified\\n'))\n\n    parser.add_argument(\n        '--no-runonce', action='store_true', required=False,\n        help='Run in next mode')\n\n    parser.add_argument(\n        '--exactbars', required=False, type=int, default=0,\n        help=('Use the specified exactbars still compatible with preload\\n'\n              '  0 No memory savings\\n'\n              '  -1 Moderate memory savings\\n'\n              '  -2 Less moderate memory savings\\n'))\n\n    parser.add_argument(\n        '--no-optdatas', action='store_true', required=False,\n        help='Do not optimize data preloading in optimization')\n\n    parser.add_argument(\n        '--no-optreturn', action='store_true', required=False,\n        help='Do not optimize the returned values to save time')\n\n    parser.add_argument(\n        '--ma_low', type=int,\n        default=10, required=False,\n        help='SMA range low to optimize')\n\n    parser.add_argument(\n        '--ma_high', type=int,\n        default=30, required=False,\n        help='SMA range high to optimize')\n\n    parser.add_argument(\n        '--m1_low', type=int,\n        default=12, required=False,\n        help='MACD Fast MA range low to optimize')\n\n    parser.add_argument(\n        '--m1_high', type=int,\n        default=20, required=False,\n        help='MACD Fast MA range high to optimize')\n\n    parser.add_argument(\n        '--m2_low', type=int,\n        default=26, required=False,\n        help='MACD Slow MA range low to optimize')\n\n    parser.add_argument(\n        '--m2_high', type=int,\n        default=30, required=False,\n        help='MACD Slow MA range high to optimize')\n\n    parser.add_argument(\n        '--m3_low', type=int,\n        default=9, required=False,\n        help='MACD Signal range low to optimize')\n\n    parser.add_argument(\n        '--m3_high', type=int,\n        default=15, required=False,\n        help='MACD Signal range high to optimize')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/order-close/close-daily.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,)\n#                        unicode_literals)\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\nfrom backtrader.utils.py3 import with_metaclass\n\n\nclass St(bt.Strategy):\n    def __init__(self):\n        self.order = None\n\n    def notify_order(self, order):\n        curdtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d')\n        if order.status in [order.Completed]:\n            dtstr = bt.num2date(order.executed.dt).strftime('%a %Y-%m-%d')\n            if order.isbuy():\n                print('%s: BUY  EXECUTED, on:' % curdtstr, dtstr)\n            else:  # Sell\n                print('%s: SELL EXECUTED, on:' % curdtstr, dtstr)\n\n            self.order = None\n\n    def next(self):\n        dtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')\n        # print('%s: data' % dtstr)\n        if self.order:\n            return\n\n        if not random.randint(0, 5):  # roll a dice to decide entering/exit\n            if self.position:\n                print('%s: SELL CREATED' % dtstr)\n                self.order = self.close(exectype=bt.Order.Close)\n            else:  # no pending order\n                print('%s: BUY  CREATED' % dtstr)\n                self.order = self.buy(exectype=bt.Order.Close)\n\n\nclass SessionEndFiller(with_metaclass(bt.metabase.MetaParams, object)):\n    '''This data filter simply adds the time given in param ``endtime`` to the\n    current data datetime\n\n    It is intended for daily bars which come from sources with no time\n    indication and can be used to signal the bar is passed the end of the\n    session\n\n    The default value for ``endtime`` is 1 second before midnight 23:59:59\n    '''\n    params = (('endtime', datetime.time(23, 59, 59)),)\n\n    def __call__(self, data):\n        '''\n        Params:\n          - data: the data source to filter/process\n\n        Returns:\n          - False (always) because this filter does not remove bars from the\n            stream\n        '''\n        # Get time of current (from data source) bar\n        dtime = datetime.combine(data.datetime.date(), self.p.endtime)\n        data.datetime[0] = data.date2num(dtime)\n        return False\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    cerebro.adddata(getdata(args))\n    cerebro.addstrategy(St)\n    if args.eosbar:\n        cerebro.broker.seteosbar(True)\n\n    cerebro.run()\n\n\ndef getdata(args):\n\n    dataformat = dict(\n        bt=btfeeds.BacktraderCSVData,\n        visualchart=btfeeds.VChartCSVData,\n        sierrachart=btfeeds.SierraChartCSVData,\n        yahoo=btfeeds.YahooFinanceCSVData,\n        yahoo_unreversed=btfeeds.YahooFinanceCSVData\n    )\n\n    dfkwargs = dict()\n    if args.csvformat == 'yahoo_unreversed':\n        dfkwargs['reverse'] = True\n\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dfkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dfkwargs['todate'] = todate\n\n    if args.tend is not None:\n        # internally only the \"time\" part is used\n        dfkwargs['sessionend'] = datetime.datetime.strptime(args.tend, '%H:%M')\n\n    dfkwargs['dataname'] = args.infile\n    dfcls = dataformat[args.csvformat]\n\n    data = dfcls(**dfkwargs)\n\n    if args.filltime is not None:\n        filltime = datetime.datetime.strptime(args.filltime, '%H:%M:%S').time()\n        data.addfilter(SessionEndFiller, endtime=filltime)\n\n    return data\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Close Orders with daily data')\n\n    parser.add_argument('--infile', '-i', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='File to be read in')\n\n    parser.add_argument('--csvformat', '-c', required=False, default='bt',\n                        choices=['bt', 'visualchart', 'sierrachart',\n                                 'yahoo', 'yahoo_unreversed'],\n                        help='CSV Format')\n\n    parser.add_argument('--fromdate', '-f', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--eosbar', required=False, action='store_true',\n                        help=('Consider a bar with the end of session time to'\n                              'be the end of the session'))\n\n    parser.add_argument('--tend', '-te',\n                        default=None, required=False,\n                        help='End time for the Session Filter (HH:MM)')\n\n    parser.add_argument('--filltime', '-ftime',\n                        default=None, required=False,\n                        help='Add Time to daily bars (HH:MM:SS)')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/order-close/close-minute.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,)\n#                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\n\nclass St(bt.Strategy):\n    def __init__(self):\n        self.curdate = datetime.date.min\n        self.elapsed = 0\n        self.order = None\n\n    def notify_order(self, order):\n        curdtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')\n        if order.status in [order.Completed]:\n            dtstr = bt.num2date(order.executed.dt).strftime('%a %Y-%m-%d %H:%M:%S')\n            if order.isbuy():\n                print('%s: BUY  EXECUTED, on:' % curdtstr, dtstr)\n                self.order = None\n            else:  # Sell\n                print('%s: SELL EXECUTED, on:' % curdtstr, dtstr)\n\n    def next(self):\n        curdate = self.data.datetime.date()\n        if curdate > self.curdate:\n            self.elapsed += 1\n            self.curdate = curdate\n\n        dtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')\n        if self.position and self.elapsed == 2:\n            print('%s: SELL CREATED' % dtstr)\n            self.close(exectype=bt.Order.Close)\n            self.elapsed = 0\n        elif self.order is None and self.elapsed == 2:  # no pending order\n            print('%s: BUY  CREATED' % dtstr)\n            self.order = self.buy(exectype=bt.Order.Close)\n            self.elapsed = 0\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    cerebro.adddata(getdata(args))\n    cerebro.addstrategy(St)\n    if args.eosbar:\n        cerebro.broker.seteosbar(True)\n\n    cerebro.run()\n\n\ndef getdata(args):\n\n    dataformat = dict(\n        bt=btfeeds.BacktraderCSVData,\n        visualchart=btfeeds.VChartCSVData,\n        sierrachart=btfeeds.SierraChartCSVData,\n        yahoo=btfeeds.YahooFinanceCSVData,\n        yahoo_unreversed=btfeeds.YahooFinanceCSVData\n    )\n\n    dfkwargs = dict()\n    if args.csvformat == 'yahoo_unreversed':\n        dfkwargs['reverse'] = True\n\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dfkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dfkwargs['todate'] = todate\n\n    if args.tend is not None:\n        # internally only the \"time\" part is used\n        dfkwargs['sessionend'] = datetime.datetime.strptime(args.tend, '%H:%M')\n\n    dfkwargs['dataname'] = args.infile\n    dfcls = dataformat[args.csvformat]\n\n    data = dfcls(**dfkwargs)\n\n    return data\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Close Orders with daily data')\n\n    parser.add_argument('--infile', '-i', required=False,\n                        default='../../datas/2006-min-005.txt',\n                        help='File to be read in')\n\n    parser.add_argument('--csvformat', '-c', required=False, default='bt',\n                        choices=['bt', 'visualchart', 'sierrachart',\n                                 'yahoo', 'yahoo_unreversed'],\n                        help='CSV Format')\n\n    parser.add_argument('--fromdate', '-f', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--eosbar', required=False, action='store_true',\n                        help=('Consider a bar with the end of session time to'\n                              'be the end of the session'))\n\n    parser.add_argument('--tend', '-te',\n                        default=None, required=False,\n                        help='End time for the Session Filter (HH:MM)')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/order-execution/order-execution.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport os.path\nimport time\nimport sys\n\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass OrderExecutionStrategy(bt.Strategy):\n    params = (\n        ('smaperiod', 15),\n        ('exectype', 'Market'),\n        ('perc1', 3),\n        ('perc2', 1),\n        ('valid', 4),\n    )\n\n    def log(self, txt, dt=None):\n        ''' Logging function fot this strategy'''\n        dt = dt or self.data.datetime[0]\n        if isinstance(dt, float):\n            dt = bt.num2date(dt)\n        print('%s, %s' % (dt.isoformat(), txt))\n\n    def notify_order(self, order):\n        if order.status in [order.Submitted, order.Accepted]:\n            # Buy/Sell order submitted/accepted to/by broker - Nothing to do\n            self.log('ORDER ACCEPTED/SUBMITTED', dt=order.created.dt)\n            self.order = order\n            return\n\n        if order.status in [order.Expired]:\n            self.log('BUY EXPIRED')\n\n        elif order.status in [order.Completed]:\n            if order.isbuy():\n                self.log(\n                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                    (order.executed.price,\n                     order.executed.value,\n                     order.executed.comm))\n\n            else:  # Sell\n                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n                         (order.executed.price,\n                          order.executed.value,\n                          order.executed.comm))\n\n        # Sentinel to None: new orders allowed\n        self.order = None\n\n    def __init__(self):\n        # SimpleMovingAverage on main data\n        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)\n        sma = btind.SMA(period=self.p.smaperiod)\n\n        # CrossOver (1: up, -1: down) close / sma\n        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)\n\n        # Sentinel to None: new ordersa allowed\n        self.order = None\n\n    def next(self):\n        if self.order:\n            # An order is pending ... nothing can be done\n            return\n\n        # Check if we are in the market\n        if self.position:\n            # In the maerket - check if it's the time to sell\n            if self.buysell < 0:\n                self.log('SELL CREATE, %.2f' % self.data.close[0])\n                self.sell()\n\n        elif self.buysell > 0:\n            if self.p.valid:\n                valid = self.data.datetime.date(0) + \\\n                        datetime.timedelta(days=self.p.valid)\n            else:\n                valid = None\n\n            # Not in the market and signal to buy\n            if self.p.exectype == 'Market':\n                self.buy(exectype=bt.Order.Market)  # default if not given\n\n                self.log('BUY CREATE, exectype Market, price %.2f' %\n                         self.data.close[0])\n\n            elif self.p.exectype == 'Close':\n                self.buy(exectype=bt.Order.Close)\n\n                self.log('BUY CREATE, exectype Close, price %.2f' %\n                         self.data.close[0])\n\n            elif self.p.exectype == 'Limit':\n                price = self.data.close * (1.0 - self.p.perc1 / 100.0)\n\n                self.buy(exectype=bt.Order.Limit, price=price, valid=valid)\n\n                if self.p.valid:\n                    txt = 'BUY CREATE, exectype Limit, price %.2f, valid: %s'\n                    self.log(txt % (price, valid.strftime('%Y-%m-%d')))\n                else:\n                    txt = 'BUY CREATE, exectype Limit, price %.2f'\n                    self.log(txt % price)\n\n            elif self.p.exectype == 'Stop':\n                price = self.data.close * (1.0 + self.p.perc1 / 100.0)\n\n                self.buy(exectype=bt.Order.Stop, price=price, valid=valid)\n\n                if self.p.valid:\n                    txt = 'BUY CREATE, exectype Stop, price %.2f, valid: %s'\n                    self.log(txt % (price, valid.strftime('%Y-%m-%d')))\n                else:\n                    txt = 'BUY CREATE, exectype Stop, price %.2f'\n                    self.log(txt % price)\n\n            elif self.p.exectype == 'StopLimit':\n                price = self.data.close * (1.0 + self.p.perc1 / 100.0)\n\n                plimit = self.data.close * (1.0 + self.p.perc2 / 100.0)\n\n                self.buy(exectype=bt.Order.StopLimit, price=price, valid=valid,\n                         plimit=plimit)\n\n                if self.p.valid:\n                    txt = ('BUY CREATE, exectype StopLimit, price %.2f,'\n                           ' valid: %s, pricelimit: %.2f')\n                    self.log(txt % (price, valid.strftime('%Y-%m-%d'), plimit))\n                else:\n                    txt = ('BUY CREATE, exectype StopLimit, price %.2f,'\n                           ' pricelimit: %.2f')\n                    self.log(txt % (price, plimit))\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n\n    data = getdata(args)\n    cerebro.adddata(data)\n\n    cerebro.addstrategy(\n        OrderExecutionStrategy,\n        exectype=args.exectype,\n        perc1=args.perc1,\n        perc2=args.perc2,\n        valid=args.valid,\n        smaperiod=args.smaperiod\n    )\n    cerebro.run()\n\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, style=args.plotstyle)\n\n\ndef getdata(args):\n\n    dataformat = dict(\n        bt=btfeeds.BacktraderCSVData,\n        visualchart=btfeeds.VChartCSVData,\n        sierrachart=btfeeds.SierraChartCSVData,\n        yahoo=btfeeds.YahooFinanceCSVData,\n        yahoo_unreversed=btfeeds.YahooFinanceCSVData\n    )\n\n    dfkwargs = dict()\n    if args.csvformat == 'yahoo_unreversed':\n        dfkwargs['reverse'] = True\n\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dfkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dfkwargs['todate'] = todate\n\n    dfkwargs['dataname'] = args.infile\n\n    dfcls = dataformat[args.csvformat]\n\n    return dfcls(**dfkwargs)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Showcase for Order Execution Types')\n\n    parser.add_argument('--infile', '-i', required=False,\n                        default='../../datas/2006-day-001.txt',\n                        help='File to be read in')\n\n    parser.add_argument('--csvformat', '-c', required=False, default='bt',\n                        choices=['bt', 'visualchart', 'sierrachart',\n                                 'yahoo', 'yahoo_unreversed'],\n                        help='CSV Format')\n\n    parser.add_argument('--fromdate', '-f', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--plot', '-p', action='store_true', required=False,\n                        help='Plot the read data')\n\n    parser.add_argument('--plotstyle', '-ps', required=False, default='bar',\n                        choices=['bar', 'line', 'candle'],\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', required=False, default=1,\n                        help='Plot using n figures')\n\n    parser.add_argument('--smaperiod', '-s', required=False, default=15,\n                        help='Simple Moving Average Period')\n\n    parser.add_argument('--exectype', '-e', required=False, default='Market',\n                        help=('Execution Type: Market (default), Close, Limit,'\n                              ' Stop, StopLimit'))\n\n    parser.add_argument('--valid', '-v', required=False, default=0, type=int,\n                        help='Validity for Limit sample: default 0 days')\n\n    parser.add_argument('--perc1', '-p1', required=False, default=0.0,\n                        type=float,\n                        help=('%% distance from close price at order creation'\n                              ' time for the limit/trigger price in Limit/Stop'\n                              ' orders'))\n\n    parser.add_argument('--perc2', '-p2', required=False, default=0.0,\n                        type=float,\n                        help=('%% distance from close price at order creation'\n                              ' time for the limit price in StopLimit orders'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/order-history/order-history.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nORDER_HISTORY = (\n    ('2005-02-01', 1, 2984.63),\n    ('2005-03-04', -1, 3079.93),\n    ('2005-03-08', 1, 3113.82),\n    ('2005-03-22', -1, 3040.55),\n    ('2005-04-08', 1, 3092.07),\n    ('2005-04-20', -1, 2957.92),\n    ('2005-05-13', 1, 2991.71),\n    ('2005-08-19', -1, 3284.35),\n    ('2005-08-22', 1, 3328.84),\n    ('2005-08-25', -1, 3293.69),\n    ('2005-09-12', 1, 3361.1),\n    ('2005-10-18', -1, 3356.73),\n    ('2005-11-09', 1, 3361.92),\n    ('2006-01-24', -1, 3544.78),\n    ('2006-02-06', 1, 3678.87),\n    ('2006-03-13', -1, 3801.03),\n    ('2006-03-20', 1, 3833.25),\n    ('2006-04-13', -1, 3777.24),\n    ('2006-05-02', 1, 3839.24),\n    ('2006-05-16', -1, 3711.46),\n    ('2006-06-30', 1, 3592.01),\n    ('2006-07-21', -1, 3580.53),\n    ('2006-08-01', 1, 3687.82),\n    ('2006-09-14', -1, 3809.08),\n    ('2006-09-25', 1, 3815.13),\n    ('2006-12-01', -1, 3993.03),\n    ('2006-12-18', 1, 4140.99),\n)\n\n\nclass SmaCross(bt.SignalStrategy):\n    params = dict(sma1=10, sma2=20)\n\n    def notify_order(self, order):\n        if not order.alive():\n            print(','.join(str(x) for x in\n                           (self.data.num2date(order.executed.dt).date(),\n                            order.executed.size * 1 if order.isbuy() else -1,\n                            order.executed.price)))\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            print('profit {}'.format(trade.pnlcomm))\n\n    def __init__(self):\n        print('Creating Signal Strategy')\n        sma1 = bt.ind.SMA(period=self.params.sma1)\n        sma2 = bt.ind.SMA(period=self.params.sma2)\n        crossover = bt.ind.CrossOver(sma1, sma2)\n        self.signal_add(bt.SIGNAL_LONG, crossover)\n\n\nclass St(bt.Strategy):\n    params = dict(\n    )\n\n    def notify_order(self, order):\n        if not order.alive():\n            print(','.join(str(x) for x in\n                           (self.data.num2date(order.executed.dt).date(),\n                            order.executed.size * 1 if order.isbuy() else -1,\n                            order.executed.price)))\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            print('profit {}'.format(trade.pnlcomm))\n\n    def __init__(self):\n        print('Creating Empty Strategy')\n        pass\n\n    def next(self):\n        pass\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    if not args.order_history:\n        cerebro.addstrategy(SmaCross, **eval('dict(' + args.strat + ')'))\n    else:\n        cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n        cerebro.add_order_history(ORDER_HISTORY, notify=True)\n\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Months)\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)\n    cerebro.addanalyzer(bt.analyzers.TradeAnalyzer)\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Order History Sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--order-history', required=False, action='store_true',\n                        help='use order history')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/order_target/order_target.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nfrom datetime import datetime\n\nimport backtrader as bt\n\n\nclass TheStrategy(bt.Strategy):\n    '''\n    This strategy is loosely based on some of the examples from the Van\n    K. Tharp book: *Trade Your Way To Financial Freedom*. The logic:\n\n      - Enter the market if:\n        - The MACD.macd line crosses the MACD.signal line to the upside\n        - The Simple Moving Average has a negative direction in the last x\n          periods (actual value below value x periods ago)\n\n     - Set a stop price x times the ATR value away from the close\n\n     - If in the market:\n\n       - Check if the current close has gone below the stop price. If yes,\n         exit.\n       - If not, update the stop price if the new stop price would be higher\n         than the current\n    '''\n\n    params = (\n        ('use_target_size', False),\n        ('use_target_value', False),\n        ('use_target_percent', False),\n    )\n\n    def notify_order(self, order):\n        if order.status == order.Completed:\n            pass\n\n        if not order.alive():\n            self.order = None  # indicate no order is pending\n\n    def start(self):\n        self.order = None  # sentinel to avoid operrations on pending order\n\n    def next(self):\n        dt = self.data.datetime.date()\n\n        portfolio_value = self.broker.get_value()\n        print('%04d - %s - Position Size:     %02d - Value %.2f' %\n              (len(self), dt.isoformat(), self.position.size, portfolio_value))\n\n        data_value = self.broker.get_value([self.data])\n\n        if self.p.use_target_value:\n            print('%04d - %s - data value %.2f' %\n                  (len(self), dt.isoformat(), data_value))\n\n        elif self.p.use_target_percent:\n            port_perc = data_value / portfolio_value\n            print('%04d - %s - data percent %.2f' %\n                  (len(self), dt.isoformat(), port_perc))\n\n        if self.order:\n            return  # pending order execution\n\n        size = dt.day\n        if (dt.month % 2) == 0:\n            size = 31 - size\n\n        if self.p.use_target_size:\n            target = size\n            print('%04d - %s - Order Target Size: %02d' %\n                  (len(self), dt.isoformat(), size))\n\n            self.order = self.order_target_size(target=size)\n\n        elif self.p.use_target_value:\n            value = size * 1000\n\n            print('%04d - %s - Order Target Value: %.2f' %\n                  (len(self), dt.isoformat(), value))\n\n            self.order = self.order_target_value(target=value)\n\n        elif self.p.use_target_percent:\n            percent = size / 100.0\n\n            print('%04d - %s - Order Target Percent: %.2f' %\n                  (len(self), dt.isoformat(), percent))\n\n            self.order = self.order_target_percent(target=percent)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.setcash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        dkwargs['fromdate'] = datetime.strptime(args.fromdate, '%Y-%m-%d')\n    if args.todate is not None:\n        dkwargs['todate'] = datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # data\n    data = bt.feeds.YahooFinanceCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)\n\n    # strategy\n    cerebro.addstrategy(TheStrategy,\n                        use_target_size=args.target_size,\n                        use_target_value=args.target_value,\n                        use_target_percent=args.target_percent)\n\n    cerebro.run()\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Order Target')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Specific data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=1000000,\n                        help='Ending date in YYYY-MM-DD format')\n\n    pgroup = parser.add_mutually_exclusive_group(required=True)\n\n    pgroup.add_argument('--target-size', required=False, action='store_true',\n                        help=('Use order_target_size'))\n\n    pgroup.add_argument('--target-value', required=False, action='store_true',\n                        help=('Use order_target_value'))\n\n    pgroup.add_argument('--target-percent', required=False,\n                        action='store_true',\n                        help=('Use order_target_percent'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/partial-plot/partial-plot.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n    )\n\n    def __init__(self):\n        # self.schedule_once(self.pepe, when=datetime.datetime())\n        # This one won't have the expected fidelity in backtesting\n        # self.schedule_once(self.pepe, when=datetime.timedelta())\n        # self.schedule_reps(self.pepe, when=datetime.time(), days=bt.sched.)\n\n        bt.ind.SMA()\n        stoc = bt.ind.Stochastic()\n        bt.ind.CrossOver(stoc.lines.percK, stoc.lines.percD)\n\n    def next(self):\n        pass\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Weeks)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample for partial plotting'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/pinkfish-challenge/pinkfish-challenge.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\n\nclass DayStepsCloseFilter(bt.with_metaclass(bt.MetaParams, object)):\n    '''\n    Replays a bar in 2 steps:\n\n      - In the 1st step the \"Open-High-Low\" could be evaluated to decide if to\n        act on the close (the close is still there ... should not be evaluated)\n\n      - If a \"Close\" order has been executed\n\n        In this 1st fragment the \"Close\" is replaced through the \"open\" althoug\n        other alternatives would be possible like high - low average, or an\n        algorithm based on where the \"close\" ac\n\n      and\n\n      - Open-High-Low-Close\n    '''\n    params = (\n        ('cvol', 0.5),  # 0 -> 1 amount of volume to keep for close\n    )\n\n    def __init__(self, data):\n        self.pendingbar = None\n\n    def __call__(self, data):\n        # Make a copy of the new bar and remove it from stream\n        closebar = [data.lines[i][0] for i in range(data.size())]\n        datadt = data.datetime.date()  # keep the date\n\n        ohlbar = closebar[:]  # Make an open-high-low bar\n\n        # Adjust volume\n        ohlbar[data.Volume] = int(closebar[data.Volume] * (1.0 - self.p.cvol))\n\n        dt = datetime.datetime.combine(datadt, data.p.sessionstart)\n        ohlbar[data.DateTime] = data.date2num(dt)\n\n        dt = datetime.datetime.combine(datadt, data.p.sessionend)\n        closebar[data.DateTime] = data.date2num(dt)\n\n        # Update stream\n        data.backwards()  # remove the copied bar from stream\n        # Overwrite the new data bar with our pending data - except start point\n        if self.pendingbar is not None:\n            data._updatebar(self.pendingbar)\n\n        self.pendingbar = closebar  # update the pending bar to the new bar\n        data._add2stack(ohlbar)  # Add the openbar to the stack for processing\n\n        return False  # the length of the stream was not changed\n\n    def last(self, data):\n        '''Called when the data is no longer producing bars\n        Can be called multiple times. It has the chance to (for example)\n        produce extra bars'''\n        if self.pendingbar is not None:\n            data.backwards()  # remove delivered open bar\n            data._add2stack(self.pendingbar)  # add remaining\n            self.pendingbar = None  # No further action\n            return True  # something delivered\n\n        return False  # nothing delivered here\n\n\nclass DayStepsReplayFilter(bt.with_metaclass(bt.MetaParams, object)):\n    '''\n    Replays a bar in 2 steps:\n\n      - In the 1st step the \"Open-High-Low\" could be evaluated to decide if to\n        act on the close (the close is still there ... should not be evaluated)\n\n      - If a \"Close\" order has been executed\n\n        In this 1st fragment the \"Close\" is replaced through the \"open\" althoug\n        other alternatives would be possible like high - low average, or an\n        algorithm based on where the \"close\" ac\n\n      and\n\n      - Open-High-Low-Close\n    '''\n    params = (\n        ('closevol', 0.5),  # 0 -> 1 amount of volume to keep for close\n    )\n\n    # replaying = True\n\n    def __init__(self, data):\n        self.lastdt = None\n        pass\n\n    def __call__(self, data):\n        # Make a copy of the new bar and remove it from stream\n        datadt = data.datetime.date()  # keep the date\n\n        if self.lastdt == datadt:\n            return False  # skip bars that come again in the filter\n\n        self.lastdt = datadt  # keep ref to last seen bar\n\n        # Make a copy of current data for ohlbar\n        ohlbar = [data.lines[i][0] for i in range(data.size())]\n        closebar = ohlbar[:]  # Make a copy for the close\n\n        # replace close price with o-h-l average\n        ohlprice = ohlbar[data.Open] + ohlbar[data.High] + ohlbar[data.Low]\n        ohlbar[data.Close] = ohlprice / 3.0\n\n        vol = ohlbar[data.Volume]  # adjust volume\n        ohlbar[data.Volume] = vohl = int(vol * (1.0 - self.p.closevol))\n\n        oi = ohlbar[data.OpenInterest]  # adjust open interst\n        ohlbar[data.OpenInterest] = 0\n\n        # Adjust times\n        dt = datetime.datetime.combine(datadt, data.p.sessionstart)\n        ohlbar[data.DateTime] = data.date2num(dt)\n\n        # Ajust closebar to generate a single tick -> close price\n        closebar[data.Open] = cprice = closebar[data.Close]\n        closebar[data.High] = cprice\n        closebar[data.Low] = cprice\n        closebar[data.Volume] = vol - vohl\n        ohlbar[data.OpenInterest] = oi\n\n        # Adjust times\n        dt = datetime.datetime.combine(datadt, data.p.sessionend)\n        closebar[data.DateTime] = data.date2num(dt)\n\n        # Update stream\n        data.backwards(force=True)  # remove the copied bar from stream\n        data._add2stack(ohlbar)  # add ohlbar to stack\n        # Add 2nd part to stash to delay processing to next round\n        data._add2stack(closebar, stash=True)\n\n        return False  # the length of the stream was not changed\n\n\nclass St(bt.Strategy):\n    params = (\n        ('highperiod', 20),\n        ('sellafter', 2),\n        ('market', False),\n    )\n\n    def __init__(self):\n        pass\n\n    def start(self):\n        self.callcounter = 0\n        txtfields = list()\n        txtfields.append('Calls')\n        txtfields.append('Len Strat')\n        txtfields.append('Len Data')\n        txtfields.append('Datetime')\n        txtfields.append('Open')\n        txtfields.append('High')\n        txtfields.append('Low')\n        txtfields.append('Close')\n        txtfields.append('Volume')\n        txtfields.append('OpenInterest')\n        print(','.join(txtfields))\n\n        self.lcontrol = 0  # control if 1st or 2nd call\n        self.inmarket = 0\n\n        # Get the highest but delayed 1 ... to avoid \"today\"\n        self.highest = btind.Highest(self.data.high,\n                                     period=self.p.highperiod,\n                                     subplot=False)\n\n    def notify_order(self, order):\n        if order.isbuy() and order.status == order.Completed:\n            print('-- BUY Completed on:',\n                  self.data.num2date(order.executed.dt).strftime('%Y-%m-%d'))\n            print('-- BUY Price:', order.executed.price)\n\n    def next(self):\n        self.callcounter += 1\n\n        txtfields = list()\n        txtfields.append('%04d' % self.callcounter)\n        txtfields.append('%04d' % len(self))\n        txtfields.append('%04d' % len(self.data0))\n        txtfields.append(self.data.datetime.datetime(0).isoformat())\n        txtfields.append('%.2f' % self.data0.open[0])\n        txtfields.append('%.2f' % self.data0.high[0])\n        txtfields.append('%.2f' % self.data0.low[0])\n        txtfields.append('%.2f' % self.data0.close[0])\n        txtfields.append('%.2f' % self.data0.volume[0])\n        txtfields.append('%.2f' % self.data0.openinterest[0])\n        print(','.join(txtfields))\n\n        if not self.position:\n            if len(self.data) > self.lcontrol:\n                if self.data.high == self.highest:  # today is highest!!!\n                    print('High %.2f > Highest %.2f' %\n                          (self.data.high[0], self.highest[0]))\n                    print('LAST 19 highs:',\n                          self.data.high.get(size=19, ago=-1))\n                    print('-- BUY on date:',\n                          self.data.datetime.date().strftime('%Y-%m-%d'))\n                    ex = bt.Order.Market if self.p.market else bt.Order.Close\n                    self.buy(exectype=ex)\n                    self.inmarket = len(self)  # reset period in market\n\n        else:  # in the market\n            if (len(self) - self.inmarket) >= self.p.sellafter:\n                self.sell()\n\n        self.lcontrol = len(self.data)\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n    cerebro.broker.set_eosbar(True)\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    if args.no_replay:\n        data = bt.feeds.YahooFinanceCSVData(dataname=args.data,\n                                            timeframe=bt.TimeFrame.Days,\n                                            compression=1,\n                                            **dkwargs)\n        data.addfilter(DayStepsCloseFilter)\n        cerebro.adddata(data)\n    else:\n        data = bt.feeds.YahooFinanceCSVData(dataname=args.data,\n                                            timeframe=bt.TimeFrame.Minutes,\n                                            compression=1,\n                                            **dkwargs)\n        data.addfilter(DayStepsReplayFilter)\n        cerebro.replaydata(data, timeframe=bt.TimeFrame.Days, compression=1)\n\n    cerebro.addstrategy(St,\n                        sellafter=args.sellafter,\n                        highperiod=args.highperiod,\n                        market=args.market)\n\n    cerebro.run(runonce=False, preload=False, oldbuysell=args.oldbuysell)\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pinkfish challenge')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--sellafter', required=False, action='store',\n                        type=int, default=2,\n                        help=('Sell after so many bars in market'))\n\n    parser.add_argument('--highperiod', required=False, action='store',\n                        type=int, default=20,\n                        help=('Period to look for the highest'))\n\n    parser.add_argument('--no-replay', required=False, action='store_true',\n                        help=('Use Replay + replay filter'))\n\n    parser.add_argument('--market', required=False, action='store_true',\n                        help=('Use Market exec instead of Close'))\n\n    parser.add_argument('--oldbuysell', required=False, action='store_true',\n                        help=('Old buysell plot behavior - ON THE PRICE'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example (escape the quotes if needed):\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/pivot-point/pivotpoint.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,)\n#                        unicode_literals)\n\nimport backtrader as bt\n\n\nclass PivotPoint1(bt.Indicator):\n    lines = ('p', 's1', 's2', 'r1', 'r2',)\n\n    def __init__(self):\n        h = self.data.high(-1)  # previous high\n        l = self.data.low(-1)  # previous low\n        c = self.data.close(-1)  # previous close\n\n        self.lines.p = p = (h + l + c) / 3.0\n\n        p2 = p * 2.0\n        self.lines.s1 = p2 - h  # (p x 2) - high\n        self.lines.r1 = p2 - l  # (p x 2) - low\n\n        hilo = h - l\n        self.lines.s2 = p - hilo  # p - (high - low)\n        self.lines.r2 = p + hilo  # p + (high - low)\n\n\nclass PivotPoint(bt.Indicator):\n    lines = ('p', 's1', 's2', 'r1', 'r2',)\n    plotinfo = dict(subplot=False)\n\n    def __init__(self):\n        h = self.data.high  # current high\n        l = self.data.low  # current high\n        c = self.data.close  # current high\n\n        self.lines.p = p = (h + l + c) / 3.0\n\n        p2 = p * 2.0\n        self.lines.s1 = p2 - h  # (p x 2) - high\n        self.lines.r1 = p2 - l  # (p x 2) - low\n\n        hilo = h - l\n        self.lines.s2 = p - hilo  # p - (high - low)\n        self.lines.r2 = p + hilo  # p + (high - low)\n"
  },
  {
    "path": "samples/pivot-point/ppsample.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.utils.flushfile\n\n\nclass St(bt.Strategy):\n    params = (('usepp1', False),\n              ('plot_on_daily', False))\n\n    def __init__(self):\n        autoplot = self.p.plot_on_daily\n        self.pp = pp = bt.ind.PivotPoint(self.data1, _autoplot=autoplot)\n\n    def next(self):\n        txt = ','.join(\n            ['%04d' % len(self),\n             '%04d' % len(self.data0),\n             '%04d' % len(self.data1),\n             self.data.datetime.date(0).isoformat(),\n             '%04d' % len(self.pp),\n             '%.2f' % self.pp[0]])\n\n        print(txt)\n\n\ndef runstrat():\n    args = parse_args()\n\n    cerebro = bt.Cerebro()\n    data = btfeeds.BacktraderCSVData(dataname=args.data)\n    cerebro.adddata(data)\n    cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)\n\n    cerebro.addstrategy(St,\n                        usepp1=args.usepp1,\n                        plot_on_daily=args.plot_on_daily)\n    cerebro.run(runonce=False)\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pivot point and cross plotting')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help=('Plot the result'))\n\n    parser.add_argument('--plot-on-daily', required=False, action='store_true',\n                        help=('Plot the indicator on the daily data'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/plot-same-axis/plot-same-axis.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\n\n\nclass PlotStrategy(bt.Strategy):\n    '''\n    The strategy does nothing but create indicators for plotting purposes\n    '''\n    params = dict(\n        smasubplot=False,  # default for Moving averages\n        nomacdplot=False,\n        rsioverstoc=False,\n        rsioversma=False,\n        stocrsi=False,\n        stocrsilabels=False,\n    )\n\n    def __init__(self):\n        sma = btind.SMA(subplot=self.params.smasubplot)\n\n        macd = btind.MACD()\n        # In SMA we passed plot directly as kwarg, here the plotinfo.plot\n        # attribute is changed - same effect\n        macd.plotinfo.plot = not self.params.nomacdplot\n\n        # Let's put rsi on stochastic/sma or the other way round\n        stoc = btind.Stochastic()\n        rsi = btind.RSI()\n        if self.params.stocrsi:\n            stoc.plotinfo.plotmaster = rsi\n            stoc.plotinfo.plotlinelabels = self.p.stocrsilabels\n        elif self.params.rsioverstoc:\n            rsi.plotinfo.plotmaster = stoc\n        elif self.params.rsioversma:\n            rsi.plotinfo.plotmaster = sma\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add the strategy\n    cerebro.addstrategy(PlotStrategy,\n                        smasubplot=args.smasubplot,\n                        nomacdplot=args.nomacdplot,\n                        rsioverstoc=args.rsioverstoc,\n                        rsioversma=args.rsioversma,\n                        stocrsi=args.stocrsi,\n                        stocrsilabels=args.stocrsilabels)\n\n    # And run it\n    cerebro.run(stdstats=args.stdstats)\n\n    # Plot\n    cerebro.plot(numfigs=args.numfigs, volume=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='Plotting Example')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--stdstats', '-st', action='store_true',\n                        help='Show standard observers')\n\n    parser.add_argument('--smasubplot', '-ss', action='store_true',\n                        help='Put SMA on own subplot/axis')\n\n    parser.add_argument('--nomacdplot', '-nm', action='store_true',\n                        help='Hide the indicator from the plot')\n\n    group = parser.add_mutually_exclusive_group(required=False)\n\n    group.add_argument('--rsioverstoc', '-ros', action='store_true',\n                       help='Plot the RSI indicator on the Stochastic axis')\n\n    group.add_argument('--rsioversma', '-rom', action='store_true',\n                       help='Plot the RSI indicator on the SMA axis')\n\n    group.add_argument('--stocrsi', '-strsi', action='store_true',\n                       help='Plot the Stochastic indicator on the RSI axis')\n\n    parser.add_argument('--stocrsilabels', action='store_true',\n                        help='Plot line names instead of indicator name')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/psar/psar-intraday.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n    )\n\n    def __init__(self):\n        self.psar0 = bt.ind.ParabolicSAR(self.data0)\n        self.psar1 = bt.ind.ParabolicSAR(self.data1)\n        pass\n\n    def next(self):\n        txt = []\n        txt.append('{:04d}'.format(len(self)))\n        txt.append('{:04d}'.format(len(self.data0)))\n        txt.append(self.data0.datetime.datetime())\n        txt.append('{:.2f}'.format(self.data0.close[0]))\n        txt.append('PSAR')\n        txt.append('{:04.2f}'.format(self.psar0[0]))\n        if len(self.data1):\n            txt.append('{:04d}'.format(len(self.data1)))\n            txt.append(self.data1.datetime.datetime())\n            txt.append('{:.2f}'.format(self.data1.close[0]))\n            txt.append('PSAR')\n            txt.append('{:04.2f}'.format(self.psar1[0]))\n\n        print(','.join(str(x) for x in txt))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict(\n        timeframe=bt.TimeFrame.Minutes,\n        compression=5,\n    )\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Minutes, compression=15)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas//2006-min-005.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/psar/psar.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n    )\n\n    def __init__(self):\n        self.psar = bt.ind.ParabolicSAR(period=20)\n        pass\n\n    def next(self):\n        txt = ['{:4d}'.format(len(self))]\n        txt.append('{}'.format(self.datetime.date()))\n        txt.append('{:.2f}'.format(self.psar[0]))\n        print(','.join(txt))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/pyfolio2/backtrader-pyfolio.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from __future__ import (absolute_import, division, print_function,\\n\",\n    \"                        unicode_literals)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"import argparse\\n\",\n    \"import collections\\n\",\n    \"import datetime\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"import backtrader as bt\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"class St(bt.SignalStrategy):\\n\",\n    \"    params = (\\n\",\n    \"        ('pfast', 13),\\n\",\n    \"        ('pslow', 50),\\n\",\n    \"        ('printdata', False),\\n\",\n    \"        ('stake', 1000),\\n\",\n    \"        ('short', False),\\n\",\n    \"    )\\n\",\n    \"\\n\",\n    \"    def __init__(self):\\n\",\n    \"        self.sfast = bt.indicators.SMA(period=self.p.pfast)\\n\",\n    \"        self.sslow = bt.indicators.SMA(period=self.p.pslow)\\n\",\n    \"        self.cover = bt.indicators.CrossOver(self.sfast, self.sslow)\\n\",\n    \"        if self.p.short:\\n\",\n    \"            self.signal_add(bt.SIGNAL_LONGSHORT, self.cover)\\n\",\n    \"        else:\\n\",\n    \"            self.signal_add(bt.SIGNAL_LONG, self.cover)\\n\",\n    \"\\n\",\n    \"    def start(self):\\n\",\n    \"        super(self.__class__, self).start()\\n\",\n    \"        if self.p.printdata:\\n\",\n    \"            txtfields = list()\\n\",\n    \"            txtfields.append('Len')\\n\",\n    \"            txtfields.append('Datetime')\\n\",\n    \"            txtfields.append('Open')\\n\",\n    \"            txtfields.append('High')\\n\",\n    \"            txtfields.append('Low')\\n\",\n    \"            txtfields.append('Close')\\n\",\n    \"            txtfields.append('Volume')\\n\",\n    \"            txtfields.append('OpenInterest')\\n\",\n    \"            print(','.join(txtfields))\\n\",\n    \"\\n\",\n    \"    def next(self):\\n\",\n    \"        super(self.__class__, self).next()\\n\",\n    \"        if self.p.printdata:\\n\",\n    \"            # Print only 1st data ... is just a check that things are running\\n\",\n    \"            txtfields = list()\\n\",\n    \"            txtfields.append('%04d' % len(self))\\n\",\n    \"            txtfields.append(self.data.datetime.datetime(0).isoformat())\\n\",\n    \"            txtfields.append('%.2f' % self.data0.open[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.high[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.low[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.close[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.volume[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.openinterest[0])\\n\",\n    \"            print(','.join(txtfields))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"_TFRAMES = collections.OrderedDict(\\n\",\n    \"    (\\n\",\n    \"        ('minutes', bt.TimeFrame.Minutes),\\n\",\n    \"        ('days', bt.TimeFrame.Days),\\n\",\n    \"        ('weeks', bt.TimeFrame.Weeks),\\n\",\n    \"        ('months', bt.TimeFrame.Months),\\n\",\n    \"        ('years', bt.TimeFrame.Years),\\n\",\n    \"    )\\n\",\n    \")\\n\",\n    \"\\n\",\n    \"_TFS = _TFRAMES.keys()\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def runstrat(args=None):\\n\",\n    \"    args = parse_args(args)\\n\",\n    \"\\n\",\n    \"    cerebro = bt.Cerebro()\\n\",\n    \"    cerebro.broker.set_cash(args.cash)\\n\",\n    \"\\n\",\n    \"    dkwargs = dict()\\n\",\n    \"    if args.fromdate:\\n\",\n    \"        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\\n\",\n    \"        dkwargs['fromdate'] = fromdate\\n\",\n    \"\\n\",\n    \"    if args.todate:\\n\",\n    \"        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\\n\",\n    \"        dkwargs['todate'] = todate\\n\",\n    \"\\n\",\n    \"    if args.timeframe:\\n\",\n    \"        dkwargs['timeframe'] = _TFRAMES[args.timeframe]\\n\",\n    \"\\n\",\n    \"    if args.compression:\\n\",\n    \"        dkwargs['compression'] = args.compression\\n\",\n    \"\\n\",\n    \"    # data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\\n\",\n    \"    data0 = bt.feeds.VCData(dataname=args.data0, historical=True, **dkwargs)\\n\",\n    \"    cerebro.adddata(data0, name='Data0')\\n\",\n    \"\\n\",\n    \"    cerebro.addstrategy(St, short=args.short, printdata=args.printdata)\\n\",\n    \"    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\\n\",\n    \"\\n\",\n    \"    # Own analyzerset\\n\",\n    \"    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)\\n\",\n    \"    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years)\\n\",\n    \"    cerebro.addanalyzer(bt.analyzers.SQN,)\\n\",\n    \"\\n\",\n    \"    if args.pyfolio:\\n\",\n    \"        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio',\\n\",\n    \"                            timeframe=_TFRAMES[args.pftimeframe])\\n\",\n    \"\\n\",\n    \"    if args.printout:\\n\",\n    \"        print('Start run')\\n\",\n    \"    results = cerebro.run()\\n\",\n    \"    if args.printout:\\n\",\n    \"        print('End Run')\\n\",\n    \"    strat = results[0]\\n\",\n    \"\\n\",\n    \"    # Results of own analyzers\\n\",\n    \"    al = strat.analyzers.timereturn\\n\",\n    \"    print('-- Time Return:')\\n\",\n    \"    for k, v in al.get_analysis().items():\\n\",\n    \"        print('{}: {}'.format(k, v))\\n\",\n    \"\\n\",\n    \"    al = strat.analyzers.sharperatio\\n\",\n    \"    print('-- Sharpe Ratio:')\\n\",\n    \"    for k, v in al.get_analysis().items():\\n\",\n    \"        print('{}: {}'.format(k, v))\\n\",\n    \"\\n\",\n    \"    al = strat.analyzers.sqn\\n\",\n    \"    print('-- SQN:')\\n\",\n    \"    for k, v in al.get_analysis().items():\\n\",\n    \"        print('{}: {}'.format(k, v))\\n\",\n    \"\\n\",\n    \"    if args.pyfolio:\\n\",\n    \"        pyfoliozer = strat.analyzers.getbyname('pyfolio',)\\n\",\n    \"\\n\",\n    \"        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\\n\",\n    \"        if args.printout:\\n\",\n    \"            print('-- RETURNS')\\n\",\n    \"            print(returns)\\n\",\n    \"            print('-- POSITIONS')\\n\",\n    \"            print(positions)\\n\",\n    \"            print('-- TRANSACTIONS')\\n\",\n    \"            print(transactions)\\n\",\n    \"            print('-- GROSS LEVERAGE')\\n\",\n    \"            print(gross_lev)\\n\",\n    \"\\n\",\n    \"        if True:\\n\",\n    \"            import pyfolio as pf\\n\",\n    \"            pf.create_full_tear_sheet(\\n\",\n    \"                returns,\\n\",\n    \"                positions=positions,\\n\",\n    \"                transactions=transactions,\\n\",\n    \"                gross_lev=gross_lev,\\n\",\n    \"                round_trips=True)\\n\",\n    \"\\n\",\n    \"    if args.plot:\\n\",\n    \"        pkwargs = dict(style='bar')\\n\",\n    \"        if args.plot is not True:  # evals to True but is not True\\n\",\n    \"            pkwargs = eval('dict(' + args.plot + ')')  # args were passed\\n\",\n    \"\\n\",\n    \"        cerebro.plot(**pkwargs)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def parse_args(pargs=None):\\n\",\n    \"\\n\",\n    \"    parser = argparse.ArgumentParser(\\n\",\n    \"        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\\n\",\n    \"        description='Sample for pivot point and cross plotting')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--data0', required=True,\\n\",\n    \"                        # default='../../datas/yhoo-1996-2015.txt',\\n\",\n    \"                        help='Data to be read in')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--timeframe', required=False,\\n\",\n    \"                        default=next(iter(_TFS)), choices=_TFS,\\n\",\n    \"                        help='Starting date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--compression', required=False,\\n\",\n    \"                        default=1, type=int,\\n\",\n    \"                        help='Starting date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    if False:\\n\",\n    \"        parser.add_argument('--data1', required=False,\\n\",\n    \"                            default='../../datas/orcl-1995-2014.txt',\\n\",\n    \"                            help='Data to be read in')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--fromdate', required=False,\\n\",\n    \"                        default='2013-01-01',\\n\",\n    \"                        help='Starting date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--todate', required=False,\\n\",\n    \"                        default='2015-12-31',\\n\",\n    \"                        help='Ending date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--stake', required=False, action='store',\\n\",\n    \"                        default=10, type=int,\\n\",\n    \"                        help=('Stake size'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--short', required=False, action='store_true',\\n\",\n    \"                        help=('Go short too'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--cash', required=False, action='store',\\n\",\n    \"                        type=float, default=50000,\\n\",\n    \"                        help=('Cash to start with'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--pyfolio', required=False, action='store_true',\\n\",\n    \"                        help=('Do pyfolio things'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--pftimeframe', required=False,\\n\",\n    \"                        default='days', choices=_TFS,\\n\",\n    \"                        help='Starting date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--printout', required=False, action='store_true',\\n\",\n    \"                        help=('Print infos'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--printdata', required=False, action='store_true',\\n\",\n    \"                        help=('Print data lines'))\\n\",\n    \"\\n\",\n    \"    # Plot options\\n\",\n    \"    parser.add_argument('--plot', '-p', nargs='?', required=False,\\n\",\n    \"                        metavar='kwargs', const=True,\\n\",\n    \"                        help=('Plot the read data applying any kwargs passed\\\\n'\\n\",\n    \"                              '\\\\n'\\n\",\n    \"                              'For example:\\\\n'\\n\",\n    \"                              '\\\\n'\\n\",\n    \"                              '  --plot style=\\\"candle\\\" (to plot candles)\\\\n'))\\n\",\n    \"\\n\",\n    \"    if pargs is not None:\\n\",\n    \"        return parser.parse_args(pargs)\\n\",\n    \"\\n\",\n    \"    return parser.parse_args()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"scrolled\": false\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"UnboundLocalError\",\n     \"evalue\": \"local variable 'txt' referenced before assignment\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mUnboundLocalError\\u001b[0m                         Traceback (most recent call last)\",\n      \"\\u001b[0;32m<ipython-input-7-3298d240ea06>\\u001b[0m in \\u001b[0;36m<module>\\u001b[0;34m()\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0;31m \\u001b[0mrunstrat\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m'--data0 015ES --timeframe days --compression 1 --pyfolio --printout --cash 200000 --short'\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0msplit\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\",\n      \"\\u001b[0;32m<ipython-input-6-c5b3d4ae126d>\\u001b[0m in \\u001b[0;36mrunstrat\\u001b[0;34m(args)\\u001b[0m\\n\\u001b[1;32m     94\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m     95\\u001b[0m     \\u001b[0;31m# data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m---> 96\\u001b[0;31m     \\u001b[0mdata0\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mbt\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mfeeds\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mVCData\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mdataname\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0margs\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mdata0\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mhistorical\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0;32mTrue\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m**\\u001b[0m\\u001b[0mdkwargs\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m     97\\u001b[0m     \\u001b[0mcerebro\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0madddata\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mdata0\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mname\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0;34m'Data0'\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m     98\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32md:\\\\dro\\\\01-docs\\\\01-home\\\\src\\\\backtrader\\\\backtrader\\\\metabase.py\\u001b[0m in \\u001b[0;36m__call__\\u001b[0;34m(cls, *args, **kwargs)\\u001b[0m\\n\\u001b[1;32m     85\\u001b[0m         \\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkwargs\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mcls\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mdonew\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m*\\u001b[0m\\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m**\\u001b[0m\\u001b[0mkwargs\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m     86\\u001b[0m         \\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkwargs\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mcls\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mdopreinit\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m*\\u001b[0m\\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m**\\u001b[0m\\u001b[0mkwargs\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m---> 87\\u001b[0;31m         \\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkwargs\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mcls\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mdoinit\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m*\\u001b[0m\\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m**\\u001b[0m\\u001b[0mkwargs\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m     88\\u001b[0m         \\u001b[0m_obj\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0margs\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkwargs\\u001b[0m \\u001b[0;34m=\\u001b[0m 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  },
  {
    "path": "samples/pyfolio2/pyfoliotest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport collections\nimport datetime\n\n\nimport backtrader as bt\n\n\nclass St(bt.SignalStrategy):\n    params = (\n        ('pfast', 13),\n        ('pslow', 50),\n        ('printdata', False),\n        ('stake', 1000),\n        ('short', False),\n    )\n\n    def __init__(self):\n        self.sfast = bt.indicators.SMA(period=self.p.pfast)\n        self.sslow = bt.indicators.SMA(period=self.p.pslow)\n        self.cover = bt.indicators.CrossOver(self.sfast, self.sslow)\n        if self.p.short:\n            self.signal_add(bt.SIGNAL_LONGSHORT, self.cover)\n        else:\n            self.signal_add(bt.SIGNAL_LONG, self.cover)\n\n    def start(self):\n        super(self.__class__, self).start()\n        if self.p.printdata:\n            txtfields = list()\n            txtfields.append('Len')\n            txtfields.append('Datetime')\n            txtfields.append('Open')\n            txtfields.append('High')\n            txtfields.append('Low')\n            txtfields.append('Close')\n            txtfields.append('Volume')\n            txtfields.append('OpenInterest')\n            print(','.join(txtfields))\n\n    def next(self):\n        super(self.__class__, self).next()\n        if self.p.printdata:\n            # Print only 1st data ... is just a check that things are running\n            txtfields = list()\n            txtfields.append('%04d' % len(self))\n            txtfields.append(self.data.datetime.datetime(0).isoformat())\n            txtfields.append('%.2f' % self.data0.open[0])\n            txtfields.append('%.2f' % self.data0.high[0])\n            txtfields.append('%.2f' % self.data0.low[0])\n            txtfields.append('%.2f' % self.data0.close[0])\n            txtfields.append('%.2f' % self.data0.volume[0])\n            txtfields.append('%.2f' % self.data0.openinterest[0])\n            print(','.join(txtfields))\n\n\n_TFRAMES = collections.OrderedDict(\n    (\n        ('minutes', bt.TimeFrame.Minutes),\n        ('days', bt.TimeFrame.Days),\n        ('weeks', bt.TimeFrame.Weeks),\n        ('months', bt.TimeFrame.Months),\n        ('years', bt.TimeFrame.Years),\n    )\n)\n\n_TFS = _TFRAMES.keys()\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    if args.timeframe:\n        dkwargs['timeframe'] = _TFRAMES[args.timeframe]\n\n    if args.compression:\n        dkwargs['compression'] = args.compression\n\n    # data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\n    data0 = bt.feeds.VCData(dataname=args.data0, historical=True, **dkwargs)\n    cerebro.adddata(data0, name='Data0')\n\n    cerebro.addstrategy(St, short=args.short, printdata=args.printdata)\n    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\n\n    # Own analyzerset\n    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)\n    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years)\n    cerebro.addanalyzer(bt.analyzers.SQN,)\n\n    if args.pyfolio:\n        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio',\n                            timeframe=_TFRAMES[args.pftimeframe])\n\n    if args.printout:\n        print('Start run')\n    results = cerebro.run()\n    if args.printout:\n        print('End Run')\n    strat = results[0]\n\n    # Results of own analyzers\n    al = strat.analyzers.timereturn\n    print('-- Time Return:')\n    for k, v in al.get_analysis().items():\n        print('{}: {}'.format(k, v))\n\n    al = strat.analyzers.sharperatio\n    print('-- Sharpe Ratio:')\n    for k, v in al.get_analysis().items():\n        print('{}: {}'.format(k, v))\n\n    al = strat.analyzers.sqn\n    print('-- SQN:')\n    for k, v in al.get_analysis().items():\n        print('{}: {}'.format(k, v))\n\n    if args.pyfolio:\n        pyfoliozer = strat.analyzers.getbyname('pyfolio',)\n\n        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\n        if args.printout:\n            print('-- RETURNS')\n            print(returns)\n            print('-- POSITIONS')\n            print(positions)\n            print('-- TRANSACTIONS')\n            print(transactions)\n            print('-- GROSS LEVERAGE')\n            print(gross_lev)\n\n        if True:\n            import pyfolio as pf\n            pf.create_full_tear_sheet(\n                returns,\n                positions=positions,\n                transactions=transactions,\n                gross_lev=gross_lev,\n                round_trips=True)\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            pkwargs = eval('dict(' + args.plot + ')')  # args were passed\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pivot point and cross plotting')\n\n    parser.add_argument('--data0', required=True,\n                        help='Data to be read in')\n\n    parser.add_argument('--timeframe', required=False,\n                        default=_TFS[0], choices=_TFS,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--compression', required=False,\n                        default=1, type=int,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2013-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2015-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--stake', required=False, action='store',\n                        default=10, type=int,\n                        help=('Stake size'))\n\n    parser.add_argument('--short', required=False, action='store_true',\n                        help=('Go short too'))\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--pyfolio', required=False, action='store_true',\n                        help=('Do pyfolio things'))\n\n    parser.add_argument('--pftimeframe', required=False,\n                        default='days', choices=_TFS,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--printout', required=False, action='store_true',\n                        help=('Print infos'))\n\n    parser.add_argument('--printdata', required=False, action='store_true',\n                        help=('Print data lines'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/pyfoliotest/backtrader-pyfolio.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from __future__ import (absolute_import, division, print_function,\\n\",\n    \"                        unicode_literals)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"import argparse\\n\",\n    \"import datetime\\n\",\n    \"import random\\n\",\n    \"\\n\",\n    \"import backtrader as bt\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"class St(bt.Strategy):\\n\",\n    \"    params = (\\n\",\n    \"        ('printout', False),\\n\",\n    \"        ('stake', 1000),\\n\",\n    \"    )\\n\",\n    \"\\n\",\n    \"    def __init__(self):\\n\",\n    \"        pass\\n\",\n    \"\\n\",\n    \"    def start(self):\\n\",\n    \"        if self.p.printout:\\n\",\n    \"            txtfields = list()\\n\",\n    \"            txtfields.append('Len')\\n\",\n    \"            txtfields.append('Datetime')\\n\",\n    \"            txtfields.append('Open')\\n\",\n    \"            txtfields.append('High')\\n\",\n    \"            txtfields.append('Low')\\n\",\n    \"            txtfields.append('Close')\\n\",\n    \"            txtfields.append('Volume')\\n\",\n    \"            txtfields.append('OpenInterest')\\n\",\n    \"            print(','.join(txtfields))\\n\",\n    \"\\n\",\n    \"    def next(self):\\n\",\n    \"        if self.p.printout:\\n\",\n    \"            # Print only 1st data ... is just a check that things are running\\n\",\n    \"            txtfields = list()\\n\",\n    \"            txtfields.append('%04d' % len(self))\\n\",\n    \"            txtfields.append(self.data.datetime.datetime(0).isoformat())\\n\",\n    \"            txtfields.append('%.2f' % self.data0.open[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.high[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.low[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.close[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.volume[0])\\n\",\n    \"            txtfields.append('%.2f' % self.data0.openinterest[0])\\n\",\n    \"            print(','.join(txtfields))\\n\",\n    \"\\n\",\n    \"        # Data 0\\n\",\n    \"        for data in self.datas:\\n\",\n    \"            toss = random.randint(1, 10)\\n\",\n    \"            curpos = self.getposition(data)\\n\",\n    \"            if curpos.size:\\n\",\n    \"                if toss > 5:\\n\",\n    \"                    size = curpos.size // 2\\n\",\n    \"                    self.sell(data=data, size=size)\\n\",\n    \"                    if self.p.printout:\\n\",\n    \"                        print('SELL {} @%{}'.format(size, data.close[0]))\\n\",\n    \"\\n\",\n    \"            elif toss < 5:\\n\",\n    \"                self.buy(data=data, size=self.p.stake)\\n\",\n    \"                if self.p.printout:\\n\",\n    \"                    print('BUY  {} @%{}'.format(self.p.stake, data.close[0]))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def runstrat(args=None):\\n\",\n    \"    args = parse_args(args)\\n\",\n    \"\\n\",\n    \"    cerebro = bt.Cerebro()\\n\",\n    \"    cerebro.broker.set_cash(args.cash)\\n\",\n    \"\\n\",\n    \"    dkwargs = dict()\\n\",\n    \"    if args.fromdate:\\n\",\n    \"        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\\n\",\n    \"        dkwargs['fromdate'] = fromdate\\n\",\n    \"\\n\",\n    \"    if args.todate:\\n\",\n    \"        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\\n\",\n    \"        dkwargs['todate'] = todate\\n\",\n    \"\\n\",\n    \"    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\\n\",\n    \"    cerebro.adddata(data0, name='Data0')\\n\",\n    \"\\n\",\n    \"    data1 = bt.feeds.BacktraderCSVData(dataname=args.data1, **dkwargs)\\n\",\n    \"    cerebro.adddata(data1, name='Data1')\\n\",\n    \"\\n\",\n    \"    data2 = bt.feeds.BacktraderCSVData(dataname=args.data2, **dkwargs)\\n\",\n    \"    cerebro.adddata(data2, name='Data2')\\n\",\n    \"\\n\",\n    \"    cerebro.addstrategy(St, printout=args.printout)\\n\",\n    \"    if not args.no_pyfolio:\\n\",\n    \"        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio')\\n\",\n    \"\\n\",\n    \"    results = cerebro.run()\\n\",\n    \"    if not args.no_pyfolio:\\n\",\n    \"        strat = results[0]\\n\",\n    \"        pyfoliozer = strat.analyzers.getbyname('pyfolio')\\n\",\n    \"\\n\",\n    \"        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\\n\",\n    \"        if args.printout:\\n\",\n    \"            print('-- RETURNS')\\n\",\n    \"            print(returns)\\n\",\n    \"            print('-- POSITIONS')\\n\",\n    \"            print(positions)\\n\",\n    \"            print('-- TRANSACTIONS')\\n\",\n    \"            print(transactions)\\n\",\n    \"            print('-- GROSS LEVERAGE')\\n\",\n    \"            print(gross_lev)\\n\",\n    \"\\n\",\n    \"        import pyfolio as pf\\n\",\n    \"        pf.create_full_tear_sheet(\\n\",\n    \"            returns,\\n\",\n    \"            positions=positions,\\n\",\n    \"            transactions=transactions,\\n\",\n    \"            gross_lev=gross_lev,\\n\",\n    \"            live_start_date='2005-05-01',\\n\",\n    \"            round_trips=True)\\n\",\n    \"\\n\",\n    \"    if args.plot:\\n\",\n    \"        cerebro.plot(style=args.plot_style)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def parse_args(args=None):\\n\",\n    \"\\n\",\n    \"    parser = argparse.ArgumentParser(\\n\",\n    \"        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\\n\",\n    \"        description='Sample for pivot point and cross plotting')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--data0', required=False,\\n\",\n    \"                        default='../../datas/yhoo-1996-2015.txt',\\n\",\n    \"                        help='Data to be read in')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--data1', required=False,\\n\",\n    \"                        default='../../datas/orcl-1995-2014.txt',\\n\",\n    \"                        help='Data to be read in')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--data2', required=False,\\n\",\n    \"                        default='../../datas/nvda-1999-2014.txt',\\n\",\n    \"                        help='Data to be read in')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--fromdate', required=False,\\n\",\n    \"                        default='2005-01-01',\\n\",\n    \"                        help='Starting date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--todate', required=False,\\n\",\n    \"                        default='2006-12-31',\\n\",\n    \"                        help='Ending date in YYYY-MM-DD format')\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--printout', required=False, action='store_true',\\n\",\n    \"                        help=('Print data lines'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--cash', required=False, action='store',\\n\",\n    \"                        type=float, default=50000,\\n\",\n    \"                        help=('Cash to start with'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--plot', required=False, action='store_true',\\n\",\n    \"                        help=('Plot the result'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--plot-style', required=False, action='store',\\n\",\n    \"                        default='bar', choices=['bar', 'candle', 'line'],\\n\",\n    \"                        help=('Plot style'))\\n\",\n    \"\\n\",\n    \"    parser.add_argument('--no-pyfolio', required=False, action='store_true',\\n\",\n    \"                        help=('Do not do pyfolio things'))\\n\",\n    \"\\n\",\n    \"    import sys\\n\",\n    \"    aargs = args if args is not None else sys.argv[1:]\\n\",\n    \"    return parser.parse_args(aargs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"scrolled\": false\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Entire data start date: 2005-01-03\\n\",\n      \"Entire data end date: 2006-12-29\\n\",\n      \"\\n\",\n      \"\\n\",\n      \"Out-of-Sample Months: 20\\n\",\n      \"Backtest Months: 3\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Performance statistics</th>\\n\",\n       \"      <th>All history</th>\\n\",\n       \"      <th>Backtest</th>\\n\",\n       \"      <th>Out of sample</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>annual_return</th>\\n\",\n       \"      <td>0.13</td>\\n\",\n       \"      <td>0.01</td>\\n\",\n       \"      <td>0.15</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>annual_volatility</th>\\n\",\n       \"      <td>0.13</td>\\n\",\n       \"      <td>0.13</td>\\n\",\n       \"      <td>0.13</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>sharpe_ratio</th>\\n\",\n       \"      <td>1.02</td>\\n\",\n       \"      <td>0.17</td>\\n\",\n       \"      <td>1.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>calmar_ratio</th>\\n\",\n       \"      <td>1.19</td>\\n\",\n       \"      <td>0.29</td>\\n\",\n       \"      <td>1.42</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>stability_of_timeseries</th>\\n\",\n       \"      <td>0.94</td>\\n\",\n       \"      <td>0.18</td>\\n\",\n       \"      <td>0.95</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>max_drawdown</th>\\n\",\n       \"      <td>-0.11</td>\\n\",\n       \"      <td>-0.05</td>\\n\",\n       \"      <td>-0.11</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>omega_ratio</th>\\n\",\n       \"      <td>1.29</td>\\n\",\n       \"      <td>1.04</td>\\n\",\n       \"      <td>1.35</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>sortino_ratio</th>\\n\",\n       \"      <td>1.63</td>\\n\",\n       \"      <td>0.26</td>\\n\",\n       \"      <td>1.91</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>skew</th>\\n\",\n       \"      <td>0.53</td>\\n\",\n       \"      <td>0.57</td>\\n\",\n       \"      <td>0.53</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>kurtosis</th>\\n\",\n       \"      <td>13.97</td>\\n\",\n       \"      <td>5.91</td>\\n\",\n       \"      <td>15.41</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>tail_ratio</th>\\n\",\n       \"      <td>1.28</td>\\n\",\n       \"      <td>1.23</td>\\n\",\n       \"      <td>1.43</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>common_sense_ratio</th>\\n\",\n       \"      <td>1.45</td>\\n\",\n       \"      <td>1.25</td>\\n\",\n       \"      <td>1.65</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>information_ratio</th>\\n\",\n       \"      <td>0.01</td>\\n\",\n       \"      <td>0.05</td>\\n\",\n       \"      <td>0.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>alpha</th>\\n\",\n       \"      <td>0.09</td>\\n\",\n       \"      <td>0.04</td>\\n\",\n       \"      <td>0.09</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>beta</th>\\n\",\n       \"      <td>0.39</td>\\n\",\n       \"      <td>0.18</td>\\n\",\n       \"      <td>0.45</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Performance statistics   All history  Backtest  Out of sample\\n\",\n       \"annual_return                   0.13      0.01           0.15\\n\",\n       \"annual_volatility               0.13      0.13           0.13\\n\",\n       \"sharpe_ratio                    1.02      0.17           1.19\\n\",\n       \"calmar_ratio                    1.19      0.29           1.42\\n\",\n       \"stability_of_timeseries         0.94      0.18           0.95\\n\",\n       \"max_drawdown                   -0.11     -0.05          -0.11\\n\",\n       \"omega_ratio                     1.29      1.04           1.35\\n\",\n       \"sortino_ratio                   1.63      0.26           1.91\\n\",\n       \"skew                            0.53      0.57           0.53\\n\",\n       \"kurtosis                       13.97      5.91          15.41\\n\",\n       \"tail_ratio                      1.28      1.23           1.43\\n\",\n       \"common_sense_ratio              1.45      1.25           1.65\\n\",\n       \"information_ratio               0.01      0.05           0.00\\n\",\n       \"alpha                           0.09      0.04           0.09\\n\",\n       \"beta                            0.39      0.18           0.45\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Worst Drawdown Periods</th>\\n\",\n       \"      <th>net drawdown in %</th>\\n\",\n       \"      <th>peak date</th>\\n\",\n       \"      <th>valley date</th>\\n\",\n       \"      <th>recovery date</th>\\n\",\n       \"      <th>duration</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>10.90</td>\\n\",\n       \"      <td>2006-04-06</td>\\n\",\n       \"      <td>2006-06-13</td>\\n\",\n       \"      <td>2006-10-26</td>\\n\",\n       \"      <td>146</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>7.28</td>\\n\",\n       \"      <td>2005-04-21</td>\\n\",\n       \"      <td>2005-06-27</td>\\n\",\n       \"      <td>2005-10-31</td>\\n\",\n       \"      <td>138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>6.75</td>\\n\",\n       \"      <td>2005-11-25</td>\\n\",\n       \"      <td>2005-12-30</td>\\n\",\n       \"      <td>2006-01-11</td>\\n\",\n       \"      <td>34</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4.62</td>\\n\",\n       \"      <td>2005-01-18</td>\\n\",\n       \"      <td>2005-02-09</td>\\n\",\n       \"      <td>2005-02-18</td>\\n\",\n       \"      <td>24</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>3.12</td>\\n\",\n       \"      <td>2006-11-30</td>\\n\",\n       \"      <td>2006-12-26</td>\\n\",\n       \"      <td>NaT</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Worst Drawdown Periods net drawdown in %  peak date valley date recovery date  \\\\\\n\",\n       \"0                                  10.90 2006-04-06  2006-06-13    2006-10-26   \\n\",\n       \"1                                   7.28 2005-04-21  2005-06-27    2005-10-31   \\n\",\n       \"2                                   6.75 2005-11-25  2005-12-30    2006-01-11   \\n\",\n       \"3                                   4.62 2005-01-18  2005-02-09    2005-02-18   \\n\",\n       \"4                                   3.12 2006-11-30  2006-12-26           NaT   \\n\",\n       \"\\n\",\n       \"Worst Drawdown Periods duration  \\n\",\n       \"0                           146  \\n\",\n       \"1                           138  \\n\",\n       \"2                            34  \\n\",\n       \"3                            24  \\n\",\n       \"4                           NaN  \"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"\\n\",\n      \"[-0.016 -0.036]\\n\"\n     ]\n    },\n    {\n  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n7yk5+P7AMTERERkVEVRob2fJEpFSls22JTfYZ0wSeMIkJjiCLDrKkV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\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/WR6ekmOzzsJeLw1vfx/u8kE2R6erCCQXzFJWadn3TaDAm0bdKdHWDb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\\nAElFTkSuQmCC\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x25404f98>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Stress Events</th>\\n\",\n       \"      <th>mean</th>\\n\",\n       \"      <th>min</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Low Volatility Bull Market</th>\\n\",\n       \"      <td>0.05%</td>\\n\",\n       \"      <td>-6.05%</td>\\n\",\n       \"      <td>4.91%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Stress Events               mean    min   max\\n\",\n       \"Low Volatility Bull Market 0.05% -6.05% 4.91%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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81ly5bNWb4SjWb8Yk9cs/sMwuEwHk8JoVBwyP+r3QzlcDgT3o/G56A1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\\n/wEHKcp+hXRk4QAAAABJRU5ErkJggg==\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x2467a240>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Top 10 long positions of all time</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data2</th>\\n\",\n       \"      <td>91.56%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data0</th>\\n\",\n       \"      <td>77.49%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data1</th>\\n\",\n       \"      <td>30.45%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Top 10 long positions of all time    max\\n\",\n       \"Data2                             91.56%\\n\",\n       \"Data0                             77.49%\\n\",\n       \"Data1                             30.45%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Top 10 short positions of all time</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Empty DataFrame\\n\",\n       \"Columns: [max]\\n\",\n       \"Index: []\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Top 10 positions of all time</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data2</th>\\n\",\n       \"      <td>91.56%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data0</th>\\n\",\n       \"      <td>77.49%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data1</th>\\n\",\n       \"      <td>30.45%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Top 10 positions of all time    max\\n\",\n       \"Data2                        91.56%\\n\",\n       \"Data0                        77.49%\\n\",\n       \"Data1                        30.45%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>All positions ever held</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data2</th>\\n\",\n       \"      <td>91.56%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data0</th>\\n\",\n       \"      <td>77.49%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data1</th>\\n\",\n       \"      <td>30.45%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"All positions ever held    max\\n\",\n       \"Data2                   91.56%\\n\",\n       \"Data0                   77.49%\\n\",\n       \"Data1                   30.45%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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omkfaS/s2Q65yxFTRHNGjlpNPwFSmqKU26DRCKRSCQSiUQiaR9p7yyp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\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hcKbft4i8Tzzr8sPE+m0gSlWK+UQkTCRyNXGF6Iztu0jC5qwGqV211q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\\nCIIgCIIgCIKgCv4fOEzailJMKAEAAAAASUVORK5CYII=\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x254042b0>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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z8//vhja7L0rVt/o3z5is7XkZGt+eGH71i1ajnVqt1N2bLlAahQoSIX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\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x24b22470>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Summary stats</th>\\n\",\n       \"      <th>All trades</th>\\n\",\n       \"      <th>Long trades</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Total number of round_trips</th>\\n\",\n       \"      <td>668.00</td>\\n\",\n       \"      <td>668.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Percent profitable</th>\\n\",\n       \"      <td>0.55</td>\\n\",\n       \"      <td>0.55</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Winning round_trips</th>\\n\",\n       \"      <td>365.00</td>\\n\",\n       \"      <td>365.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Losing round_trips</th>\\n\",\n       \"      <td>301.00</td>\\n\",\n       \"      <td>301.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Even round_trips</th>\\n\",\n       \"      <td>2.00</td>\\n\",\n       \"      <td>2.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Summary stats                All trades  Long trades\\n\",\n       \"Total number of round_trips      668.00       668.00\\n\",\n       \"Percent profitable                 0.55         0.55\\n\",\n       \"Winning round_trips              365.00       365.00\\n\",\n       \"Losing round_trips               301.00       301.00\\n\",\n       \"Even round_trips                   2.00         2.00\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>PnL stats</th>\\n\",\n       \"      <th>All trades</th>\\n\",\n       \"      <th>Long trades</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Total profit</th>\\n\",\n       \"      <td>$13825.01</td>\\n\",\n       \"      <td>$13825.01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Gross profit</th>\\n\",\n       \"      <td>$33970.19</td>\\n\",\n       \"      <td>$33970.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Gross loss</th>\\n\",\n       \"      <td>$-20145.17</td>\\n\",\n       \"      <td>$-20145.17</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Profit factor</th>\\n\",\n       \"      <td>$1.69</td>\\n\",\n       \"      <td>$1.69</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg. trade net profit</th>\\n\",\n       \"      <td>$20.70</td>\\n\",\n       \"      <td>$20.70</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg. winning trade</th>\\n\",\n       \"      <td>$93.07</td>\\n\",\n       \"      <td>$93.07</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg. losing trade</th>\\n\",\n       \"      <td>$-66.93</td>\\n\",\n       \"      <td>$-66.93</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Ratio Avg. Win:Avg. Loss</th>\\n\",\n       \"      <td>$1.39</td>\\n\",\n       \"      <td>$1.39</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest winning trade</th>\\n\",\n       \"      <td>$2425.01</td>\\n\",\n       \"      <td>$2425.01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest losing trade</th>\\n\",\n       \"      <td>$-1403.06</td>\\n\",\n       \"      <td>$-1403.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"PnL stats                 All trades  Long trades\\n\",\n       \"Total profit               $13825.01    $13825.01\\n\",\n       \"Gross profit               $33970.19    $33970.19\\n\",\n       \"Gross loss                $-20145.17   $-20145.17\\n\",\n       \"Profit factor                  $1.69        $1.69\\n\",\n       \"Avg. trade net profit         $20.70       $20.70\\n\",\n       \"Avg. winning trade            $93.07       $93.07\\n\",\n       \"Avg. losing trade            $-66.93      $-66.93\\n\",\n       \"Ratio Avg. Win:Avg. Loss       $1.39        $1.39\\n\",\n       \"Largest winning trade       $2425.01     $2425.01\\n\",\n       \"Largest losing trade       $-1403.06    $-1403.06\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Duration stats</th>\\n\",\n       \"      <th>All trades</th>\\n\",\n       \"      <th>Long trades</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg duration</th>\\n\",\n       \"      <td>17 days 06:28:01.440119</td>\\n\",\n       \"      <td>17 days 06:28:01.440119</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median duration</th>\\n\",\n       \"      <td>17 days 00:00:00</td>\\n\",\n       \"      <td>17 days 00:00:00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg # round_trips per day</th>\\n\",\n       \"      <td>13.63</td>\\n\",\n       \"      <td>13.63</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg # round_trips per month</th>\\n\",\n       \"      <td>286.29</td>\\n\",\n       \"      <td>286.29</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Duration stats                            All trades              Long trades\\n\",\n       \"Avg duration                 17 days 06:28:01.440119  17 days 06:28:01.440119\\n\",\n       \"Median duration                     17 days 00:00:00         17 days 00:00:00\\n\",\n       \"Avg # round_trips per day                      13.63                    13.63\\n\",\n       \"Avg # round_trips per month                   286.29                   286.29\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Return stats</th>\\n\",\n       \"      <th>All trades</th>\\n\",\n       \"      <th>Long trades</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns all round_trips</th>\\n\",\n       \"      <td>0.04%</td>\\n\",\n       \"      <td>0.04%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns winning</th>\\n\",\n       \"      <td>0.17%</td>\\n\",\n       \"      <td>0.17%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns losing</th>\\n\",\n       \"      <td>-0.12%</td>\\n\",\n       \"      <td>-0.12%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns all round_trips</th>\\n\",\n       \"      <td>0.00%</td>\\n\",\n       \"      <td>0.00%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns winning</th>\\n\",\n       \"      <td>0.03%</td>\\n\",\n       \"      <td>0.03%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns losing</th>\\n\",\n       \"      <td>-0.03%</td>\\n\",\n       \"      <td>-0.03%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest winning trade</th>\\n\",\n       \"      <td>4.36%</td>\\n\",\n       \"      <td>4.36%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest losing trade</th>\\n\",\n       \"      <td>-2.21%</td>\\n\",\n       \"      <td>-2.21%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Return stats                    All trades  Long trades\\n\",\n       \"Avg returns all round_trips          0.04%        0.04%\\n\",\n       \"Avg returns winning                  0.17%        0.17%\\n\",\n       \"Avg returns losing                  -0.12%       -0.12%\\n\",\n       \"Median returns all round_trips       0.00%        0.00%\\n\",\n       \"Median returns winning               0.03%        0.03%\\n\",\n       \"Median returns losing               -0.03%       -0.03%\\n\",\n       \"Largest winning trade                4.36%        4.36%\\n\",\n       \"Largest losing trade                -2.21%       -2.21%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Symbol stats</th>\\n\",\n       \"      <th>Data0</th>\\n\",\n       \"      <th>Data1</th>\\n\",\n       \"      <th>Data2</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns all round_trips</th>\\n\",\n       \"      <td>0.01%</td>\\n\",\n       \"      <td>0.01%</td>\\n\",\n       \"      <td>0.10%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns winning</th>\\n\",\n       \"      <td>0.19%</td>\\n\",\n       \"      <td>0.04%</td>\\n\",\n       \"      <td>0.24%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Avg returns losing</th>\\n\",\n       \"      <td>-0.15%</td>\\n\",\n       \"      <td>-0.03%</td>\\n\",\n       \"      <td>-0.20%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns all round_trips</th>\\n\",\n       \"      <td>-0.00%</td>\\n\",\n       \"      <td>0.00%</td>\\n\",\n       \"      <td>0.01%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns winning</th>\\n\",\n       \"      <td>0.03%</td>\\n\",\n       \"      <td>0.01%</td>\\n\",\n       \"      <td>0.04%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Median returns losing</th>\\n\",\n       \"      <td>-0.03%</td>\\n\",\n       \"      <td>-0.01%</td>\\n\",\n       \"      <td>-0.06%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest winning trade</th>\\n\",\n       \"      <td>2.02%</td>\\n\",\n       \"      <td>0.34%</td>\\n\",\n       \"      <td>4.36%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Largest losing trade</th>\\n\",\n       \"      <td>-1.95%</td>\\n\",\n       \"      <td>-0.27%</td>\\n\",\n       \"      <td>-2.21%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Symbol stats                    Data0  Data1  Data2\\n\",\n       \"Avg returns all round_trips     0.01%  0.01%  0.10%\\n\",\n       \"Avg returns winning             0.19%  0.04%  0.24%\\n\",\n       \"Avg returns losing             -0.15% -0.03% -0.20%\\n\",\n       \"Median returns all round_trips -0.00%  0.00%  0.01%\\n\",\n       \"Median returns winning          0.03%  0.01%  0.04%\\n\",\n       \"Median returns losing          -0.03% -0.01% -0.06%\\n\",\n       \"Largest winning trade           2.02%  0.34%  4.36%\\n\",\n       \"Largest losing trade           -1.95% -0.27% -2.21%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>Profitability (PnL / PnL total) per name</th>\\n\",\n       \"      <th>pnl</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>symbol</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data2</th>\\n\",\n       \"      <td>0.89%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data0</th>\\n\",\n       \"      <td>0.06%</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Data1</th>\\n\",\n       \"      <td>0.06%</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"Profitability (PnL / PnL total) per name   pnl\\n\",\n       \"symbol                                        \\n\",\n       \"Data2                                    0.89%\\n\",\n       \"Data0                                    0.06%\\n\",\n       \"Data1                                    0.06%\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x261e9f60>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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ryt1nrzRCZUStkhyTa11jMmWrhSykuT/GuSrZJcleSDtdYTJvp9AAAA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\\nYII=\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x261ceba8>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"runstrat([])\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 2\",\n   \"language\": \"python\",\n   \"name\": \"python2\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 2\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython2\",\n   \"version\": \"2.7.10\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 0\n}\n"
  },
  {
    "path": "samples/pyfoliotest/pyfoliotest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n        ('printout', False),\n        ('stake', 1000),\n    )\n\n    def __init__(self):\n        pass\n\n    def start(self):\n        if self.p.printout:\n            txtfields = list()\n            txtfields.append('Len')\n            txtfields.append('Datetime')\n            txtfields.append('Open')\n            txtfields.append('High')\n            txtfields.append('Low')\n            txtfields.append('Close')\n            txtfields.append('Volume')\n            txtfields.append('OpenInterest')\n            print(','.join(txtfields))\n\n    def next(self):\n        if self.p.printout:\n            # Print only 1st data ... is just a check that things are running\n            txtfields = list()\n            txtfields.append('%04d' % len(self))\n            txtfields.append(self.data.datetime.datetime(0).isoformat())\n            txtfields.append('%.2f' % self.data0.open[0])\n            txtfields.append('%.2f' % self.data0.high[0])\n            txtfields.append('%.2f' % self.data0.low[0])\n            txtfields.append('%.2f' % self.data0.close[0])\n            txtfields.append('%.2f' % self.data0.volume[0])\n            txtfields.append('%.2f' % self.data0.openinterest[0])\n            print(','.join(txtfields))\n\n        # Data 0\n        for data in self.datas:\n            toss = random.randint(1, 10)\n            curpos = self.getposition(data)\n            if curpos.size:\n                if toss > 5:\n                    size = curpos.size // 2\n                    self.sell(data=data, size=size)\n                    if self.p.printout:\n                        print('SELL {} @%{}'.format(size, data.close[0]))\n\n            elif toss < 5:\n                self.buy(data=data, size=self.p.stake)\n                if self.p.printout:\n                    print('BUY  {} @%{}'.format(self.p.stake, data.close[0]))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0, name='Data0')\n\n    data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **dkwargs)\n    cerebro.adddata(data1, name='Data1')\n\n    data2 = bt.feeds.YahooFinanceCSVData(dataname=args.data2, **dkwargs)\n    cerebro.adddata(data2, name='Data2')\n\n    cerebro.addstrategy(St, printout=args.printout)\n    if not args.no_pyfolio:\n        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio')\n\n    results = cerebro.run()\n    if not args.no_pyfolio:\n        strat = results[0]\n        pyfoliozer = strat.analyzers.getbyname('pyfolio')\n\n        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\n        if args.printout:\n            print('-- RETURNS')\n            print(returns)\n            print('-- POSITIONS')\n            print(positions)\n            print('-- TRANSACTIONS')\n            print(transactions)\n            print('-- GROSS LEVERAGE')\n            print(gross_lev)\n\n        import pyfolio as pf\n        pf.create_full_tear_sheet(\n            returns,\n            positions=positions,\n            transactions=transactions,\n            gross_lev=gross_lev,\n            live_start_date='2005-05-01',\n            round_trips=True)\n\n    if args.plot:\n        cerebro.plot(style=args.plot_style)\n\n\ndef parse_args(args=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for pivot point and cross plotting')\n\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--data1', required=False,\n                        default='../../datas/orcl-1995-2014.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--data2', required=False,\n                        default='../../datas/nvda-1999-2014.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--printout', required=False, action='store_true',\n                        help=('Print data lines'))\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help=('Plot the result'))\n\n    parser.add_argument('--plot-style', required=False, action='store',\n                        default='bar', choices=['bar', 'candle', 'line'],\n                        help=('Plot style'))\n\n    parser.add_argument('--no-pyfolio', required=False, action='store_true',\n                        help=('Do not do pyfolio things'))\n\n    import sys\n    aargs = args if args is not None else sys.argv[1:]\n    return parser.parse_args(aargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/relative-volume/relative-volume.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\nfrom relvolbybar import RelativeVolumeByBar\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate,\n        )\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add an empty strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Get the session times to pass them to the indicator\n    prestart = datetime.datetime.strptime(args.prestart, '%H:%M').time()\n    start = datetime.datetime.strptime(args.start, '%H:%M').time()\n    end = datetime.datetime.strptime(args.end, '%H:%M').time()\n\n    # Add the Relative volume indicator\n    cerebro.addindicator(RelativeVolumeByBar,\n                         prestart=prestart, start=start, end=end)\n\n    # Add a writer with CSV\n    if args.writer:\n        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)\n\n    # And run it\n    cerebro.run(stdstats=False)\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=True)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiData Strategy')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-01-02-volume-min-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--prestart',\n                        default='08:00',\n                        help='Start time for the Session Filter')\n\n    parser.add_argument('--start',\n                        default='09:15',\n                        help='Start time for the Session Filter')\n\n    parser.add_argument('--end', '-te',\n                        default='17:15',\n                        help='End time for the Session Filter')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--writer', '-w', action='store_true',\n                        help='Add a writer to cerebro')\n\n    parser.add_argument('--wrcsv', '-wc', action='store_true',\n                        help='Enable CSV Output in the writer')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/relative-volume/relvolbybar.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport collections\nimport datetime\nimport math\n\n\nimport backtrader as bt\n\n\nclass RelativeVolumeByBar(bt.Indicator):\n    alias = ('RVBB',)\n    lines = ('rvbb',)\n\n    params = (\n        ('prestart', datetime.time(8, 00)),\n        ('start', datetime.time(9, 10)),\n        ('end', datetime.time(17, 15)),\n    )\n\n    def _plotlabel(self):\n        plabels = []\n        for name, value in self.params._getitems():\n            plabels.append('%s: %s' % (name, value.strftime('%H:%M')))\n\n        return plabels\n\n    def __init__(self):\n        # Inform the platform about the minimum period needs\n        minbuffer = self._calcbuffer()\n        self.addminperiod(minbuffer)\n\n        # Structures/variable to keep synchronization\n        self.pvol = dict()\n        self.vcount = collections.defaultdict(int)\n\n        self.days = 0\n        self.dtlast = datetime.date.min\n\n        # Done after calc to ensure coop inheritance and composition work\n        super(RelativeVolumeByBar, self).__init__()\n\n    def _barisvalid(self, tm):\n        return self.p.start <= tm <= self.p.end\n\n    def _daycount(self):\n        dt = self.data.datetime.date()\n        if dt > self.dtlast:\n            self.days += 1\n            self.dtlast = dt\n\n    def prenext(self):\n        self._daycount()\n\n        tm = self.data.datetime.time()\n        if self._barisvalid(tm):\n            self.pvol[tm] = self.data.volume[0]\n            self.vcount[tm] += 1\n\n    def next(self):\n        self._daycount()\n\n        tm = self.data.datetime.time()\n        if not self._barisvalid(tm):\n            return\n\n        # Record the \"minute/second\" of this day has been seen\n        self.vcount[tm] += 1\n\n        # Get the bar's volume\n        vol = self.data.volume[0]\n\n        # If number of days is right, we saw the same \"minute/second\" last day\n        if self.vcount[tm] == self.days:\n            self.lines.rvbb[0] = vol / self.pvol[tm]\n\n        # Synchronize the days and volume count for next cycle\n        self.vcount[tm] = self.days\n\n        # Record the volume for this bar for next cycle\n        self.pvol[tm] = vol\n\n    def _calcbuffer(self):\n        # Period calculation\n        minend = self.p.end.hour * 60 + self.p.end.minute\n        # minstart = session_start.hour * 60 + session_start.minute\n        # use prestart to account for market_data\n        minstart = self.p.prestart.hour * 60 + self.p.prestart.minute\n\n        minbuffer = minend - minstart\n\n        tframe = self.data._timeframe\n        tcomp = self.data._compression\n\n        if tframe == bt.TimeFrame.Seconds:\n            minbuffer = (minperiod * 60)\n\n        minbuffer = (minbuffer // tcomp) + tcomp\n\n        return minbuffer\n"
  },
  {
    "path": "samples/renko/renko.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n    )\n\n    def __init__(self):\n        for d in self.datas:\n            bt.ind.RSI(d)\n\n    def next(self):\n        pass\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n\n    fkwargs = dict()\n    fkwargs.update(**eval('dict(' + args.renko + ')'))\n\n    if not args.dual:\n        data0.addfilter(bt.filters.Renko, **fkwargs)\n        cerebro.adddata(data0)\n    else:\n        cerebro.adddata(data0)\n        data1 = data0.clone()\n        data1.addfilter(bt.filters.Renko, **fkwargs)\n        cerebro.adddata(data1)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    kwargs = dict(stdstats=False)\n    kwargs.update(**eval('dict(' + args.cerebro + ')'))\n    cerebro.run(**kwargs)\n\n    if args.plot:  # Plot if requested to\n        kwargs = dict(style='candle')\n        kwargs.update(**eval('dict(' + args.plot + ')'))\n        cerebro.plot(**kwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Renko bricks sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--renko', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--dual', required=False, action='store_true',\n                        help='put the filter on a second version of the data')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/resample-tickdata/resample-tickdata.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Load the Data\n    datapath = args.dataname or '../../datas/ticksample.csv'\n\n    data = btfeeds.GenericCSVData(\n        dataname=datapath,\n        dtformat='%Y-%m-%dT%H:%M:%S.%f',\n        timeframe=bt.TimeFrame.Ticks,\n    )\n\n    # Handy dictionary for the argument timeframe conversion\n    tframes = dict(\n        ticks=bt.TimeFrame.Ticks,\n        microseconds=bt.TimeFrame.MicroSeconds,\n        seconds=bt.TimeFrame.Seconds,\n        minutes=bt.TimeFrame.Minutes,\n        daily=bt.TimeFrame.Days,\n        weekly=bt.TimeFrame.Weeks,\n        monthly=bt.TimeFrame.Months)\n\n    # Resample the data\n    cerebro.resampledata(\n        data,\n        timeframe=tframes[args.timeframe],\n        compression=args.compression,\n        bar2edge=not args.nobar2edge,\n        adjbartime=not args.noadjbartime,\n        rightedge=args.rightedge)\n\n    if args.writer:\n        # add a writer\n        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot the result\n    cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Resampling script down to tick data')\n\n    parser.add_argument('--dataname', default='', required=False,\n                        help='File Data to Load')\n\n    parser.add_argument('--timeframe', default='ticks', required=False,\n                        choices=['ticks', 'microseconds', 'seconds',\n                                 'minutes', 'daily', 'weekly', 'monthly'],\n                        help='Timeframe to resample to')\n\n    parser.add_argument('--compression', default=1, required=False, type=int,\n                        help=('Compress n bars into 1'))\n\n    parser.add_argument('--nobar2edge', required=False, action='store_true',\n                        help=('Do not Resample IntraDay Timed Bars to edges'))\n\n    parser.add_argument('--noadjbartime', required=False,\n                        action='store_true',\n                        help=('Do not adjust the time bar to meet the edges'))\n\n    parser.add_argument('--rightedge', required=False, action='store_true',\n                        help=('Resample to right edge of boundary'))\n\n    parser.add_argument('--writer', required=False, action='store_true',\n                        help=('Add a Writer'))\n\n    parser.add_argument('--wrcsv', required=False, action='store_true',\n                        help=('Add CSV to the Writer'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/rollover/rollover.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport bisect\nimport calendar\nimport datetime\n\nimport backtrader as bt\n\n\nclass TheStrategy(bt.Strategy):\n    def start(self):\n        header = ['Len', 'Name', 'RollName', 'Datetime', 'WeekDay', 'Open',\n                  'High', 'Low', 'Close', 'Volume', 'OpenInterest']\n        print(', '.join(header))\n\n    def next(self):\n        txt = list()\n        txt.append('%04d' % len(self.data0))\n        txt.append('{}'.format(self.data0._dataname))\n        # Internal knowledge ... current expiration in use is in _d\n        txt.append('{}'.format(self.data0._d._dataname))\n        txt.append('{}'.format(self.data.datetime.date()))\n        txt.append('{}'.format(self.data.datetime.date().strftime('%a')))\n        txt.append('{}'.format(self.data.open[0]))\n        txt.append('{}'.format(self.data.high[0]))\n        txt.append('{}'.format(self.data.low[0]))\n        txt.append('{}'.format(self.data.close[0]))\n        txt.append('{}'.format(self.data.volume[0]))\n        txt.append('{}'.format(self.data.openinterest[0]))\n        print(', '.join(txt))\n\n\ndef checkdate(dt, d):\n    # Check if the date is in the week where the 3rd friday of Mar/Jun/Sep/Dec\n\n    # EuroStoxx50 expiry codes: MY\n    # M -> H, M, U, Z (Mar, Jun, Sep, Dec)\n    # Y -> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 -> year code. 5 -> 2015\n    MONTHS = dict(H=3, M=6, U=9, Z=12)\n\n    M = MONTHS[d._dataname[-2]]\n\n    centuria, year = divmod(dt.year, 10)\n    decade = centuria * 10\n\n    YCode = int(d._dataname[-1])\n    Y = decade + YCode\n    if Y < dt.year:  # Example: year 2019 ... YCode is 0 for 2023\n        Y += 10\n\n    exp_day = 21 - (calendar.weekday(Y, M, 1) + 2) % 7\n    exp_dt = datetime.datetime(Y, M, exp_day)\n\n    # Get the year, week numbers\n    exp_year, exp_week, _ = exp_dt.isocalendar()\n    dt_year, dt_week, _ = dt.isocalendar()\n\n    # print('dt {} vs {} exp_dt'.format(dt, exp_dt))\n    # print('dt_week {} vs {} exp_week'.format(dt_week, exp_week))\n\n    # can switch if in same week\n    return (dt_year, dt_week) == (exp_year, exp_week)\n\n\ndef checkvolume(d0, d1):\n    return d0.volume[0] < d1.volume[0]  # Switch if volume from d0 < d1\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    fcodes = ['199FESXM4', '199FESXU4', '199FESXZ4', '199FESXH5', '199FESXM5']\n    store = bt.stores.VChartFile()\n    ffeeds = [store.getdata(dataname=x) for x in fcodes]\n\n    rollkwargs = dict()\n    if args.checkdate:\n        rollkwargs['checkdate'] = checkdate\n\n        if args.checkcondition:\n            rollkwargs['checkcondition'] = checkvolume\n\n    if not args.no_cerebro:\n        if args.rollover:\n            cerebro.rolloverdata(name='FESX', *ffeeds, **rollkwargs)\n        else:\n            cerebro.chaindata(name='FESX', *ffeeds)\n    else:\n        drollover = bt.feeds.RollOver(*ffeeds, dataname='FESX', **rollkwargs)\n        cerebro.adddata(drollover)\n\n    cerebro.addstrategy(TheStrategy)\n    cerebro.run(stdstats=False)\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Roll Over of Futures')\n\n    parser.add_argument('--no-cerebro', required=False, action='store_true',\n                        help='Use RollOver Directly')\n\n    parser.add_argument('--rollover', required=False, action='store_true')\n\n    parser.add_argument('--checkdate', required=False, action='store_true',\n                        help='Change during expiration week')\n\n    parser.add_argument('--checkcondition', required=False,\n                        action='store_true',\n                        help='Change when a given condition is met')\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/sharpe-timereturn/sharpe-timereturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    if args.cash is not None:\n        cerebro.broker.set_cash(args.cash)\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = bt.feeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    cerebro.adddata(data)  # Add the data to cerebro\n\n    # Add the strategy\n    cerebro.addstrategy(bt.strategies.SMA_CrossOver)\n\n    tframes = dict(\n        days=bt.TimeFrame.Days,\n        weeks=bt.TimeFrame.Weeks,\n        months=bt.TimeFrame.Months,\n        years=bt.TimeFrame.Years)\n\n    # Add the Analyzers\n    cerebro.addanalyzer(bt.analyzers.TimeReturn,\n                        timeframe=tframes[args.tframe])\n\n    shkwargs = dict()\n    if args.annualize:\n        shkwargs['annualize'] = True\n\n    if args.riskfreerate is not None:\n        shkwargs['riskfreerate'] = args.riskfreerate\n\n    if args.factor is not None:\n        shkwargs['factor'] = args.factor\n\n    if args.stddev_sample:\n        shkwargs['stddev_sample'] = True\n\n    if args.no_convertrate:\n        shkwargs['convertrate'] = False\n\n    cerebro.addanalyzer(bt.analyzers.SharpeRatio,\n                        timeframe=tframes[args.tframe],\n                        **shkwargs)\n\n    # Add a writer to get output\n    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)\n\n    cerebro.run()  # And run it\n\n    # Plot if requested\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='TimeReturns and SharpeRatio')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--cash', default=None, type=float, required=False,\n                        help='Starting Cash')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--writercsv', '-wcsv', action='store_true',\n                        help='Tell the writer to produce a csv stream')\n\n    parser.add_argument('--tframe', '--timeframe', default='years',\n                        required=False,\n                        choices=['days', 'weeks', 'months', 'years'],\n                        help='TimeFrame for the Returns/Sharpe calculations')\n\n    parser.add_argument('--annualize', required=False, action='store_true',\n                        help='Annualize Sharpe Ratio')\n\n    parser.add_argument('--riskfreerate', required=False, action='store',\n                        type=float, default=None,\n                        help='Riskfree Rate (annual) for Sharpe')\n\n    parser.add_argument('--factor', required=False, action='store',\n                        type=float, default=None,\n                        help=('Riskfree Rate conversion factor for Sharpe '\n                              'to downgrade riskfree rate to timeframe'))\n\n    parser.add_argument('--stddev-sample', required=False, action='store_true',\n                        help='Consider Bessels correction for stddeviation')\n\n    parser.add_argument('--no-convertrate', required=False,\n                        action='store_true',\n                        help=('Upgrade returns to target timeframe rather than'\n                              'downgrading the riskfreerate'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/signals-strategy/signals-strategy.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport collections\nimport datetime\n\nimport backtrader as bt\n\nMAINSIGNALS = collections.OrderedDict(\n    (('longshort', bt.SIGNAL_LONGSHORT),\n     ('longonly', bt.SIGNAL_LONG),\n     ('shortonly', bt.SIGNAL_SHORT),)\n)\n\n\nEXITSIGNALS = {\n    'longexit': bt.SIGNAL_LONGEXIT,\n    'shortexit': bt.SIGNAL_LONGEXIT,\n}\n\n\nclass SMACloseSignal(bt.Indicator):\n    lines = ('signal',)\n    params = (('period', 30),)\n\n    def __init__(self):\n        self.lines.signal = self.data - bt.indicators.SMA(period=self.p.period)\n\n\nclass SMAExitSignal(bt.Indicator):\n    lines = ('signal',)\n    params = (('p1', 5), ('p2', 30),)\n\n    def __init__(self):\n        sma1 = bt.indicators.SMA(period=self.p.p1)\n        sma2 = bt.indicators.SMA(period=self.p.p2)\n        self.lines.signal = sma1 - sma2\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # if dataset is None, args.data has been given\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)\n\n    cerebro.add_signal(MAINSIGNALS[args.signal],\n                       SMACloseSignal, period=args.smaperiod)\n\n    if args.exitsignal is not None:\n        cerebro.add_signal(EXITSIGNALS[args.exitsignal],\n                           SMAExitSignal,\n                           p1=args.exitperiod,\n                           p2=args.smaperiod)\n\n    cerebro.run()\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Signal concepts')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Specific data to be read in')\n\n    parser.add_argument('--fromdate', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--smaperiod', required=False, action='store',\n                        type=int, default=30,\n                        help=('Period for the moving average'))\n\n    parser.add_argument('--exitperiod', required=False, action='store',\n                        type=int, default=5,\n                        help=('Period for the exit control SMA'))\n\n    parser.add_argument('--signal', required=False, action='store',\n                        default=MAINSIGNALS.keys()[0], choices=MAINSIGNALS,\n                        help=('Signal type to use for the main signal'))\n\n    parser.add_argument('--exitsignal', required=False, action='store',\n                        default=None, choices=EXITSIGNALS,\n                        help=('Signal type to use for the exit signal'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/sigsmacross/sigsmacross.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass SmaCross(bt.SignalStrategy):\n    params = dict(sma1=10, sma2=20)\n\n    def notify_order(self, order):\n        if not order.alive():\n            print('{} {} {}@{}'.format(\n                bt.num2date(order.executed.dt),\n                'buy' if order.isbuy() else 'sell',\n                order.executed.size,\n                order.executed.price)\n            )\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            print('profit {}'.format(trade.pnlcomm))\n\n    def __init__(self):\n        sma1 = bt.ind.SMA(period=self.params.sma1)\n        sma2 = bt.ind.SMA(period=self.params.sma2)\n        crossover = bt.ind.CrossOver(sma1, sma2)\n        self.signal_add(bt.SIGNAL_LONG, crossover)\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    data0 = bt.feeds.YahooFinanceData(\n        dataname=args.data,\n        fromdate=datetime.datetime.strptime(args.fromdate, '%Y-%m-%d'),\n        todate=datetime.datetime.strptime(args.todate, '%Y-%m-%d'))\n    cerebro.adddata(data0)\n\n    cerebro.addstrategy(SmaCross, **(eval('dict(' + args.strat + ')')))\n    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\n\n    cerebro.run()\n    if args.plot:\n        cerebro.plot(**(eval('dict(' + args.plot + ')')))\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='sigsmacross')\n\n    parser.add_argument('--data', required=False, default='YHOO',\n                        help='Yahoo Ticker')\n\n    parser.add_argument('--fromdate', required=False, default='2011-01-01',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False, default='2012-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store', type=float,\n                        default=10000, help=('Starting cash'))\n\n    parser.add_argument('--stake', required=False, action='store', type=int,\n                        default=1, help=('Stake to apply'))\n\n    parser.add_argument('--strat', required=False, action='store', default='',\n                        help=('Arguments for the strategy'))\n\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const='{}',\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/sigsmacross/sigsmacross2.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom datetime import datetime\nimport backtrader as bt\n\n\nclass SmaCross(bt.SignalStrategy):\n    def __init__(self):\n        sma1 = bt.ind.SMA(period=10)\n        sma2 = bt.ind.SMA(period=30)\n        crossover = bt.ind.CrossOver(sma1, sma2)\n        self.signal_add(bt.SIGNAL_LONG, crossover)\n\n\ncerebro = bt.Cerebro()\ncerebro.addstrategy(SmaCross)\n\ndata0 = bt.feeds.YahooFinanceData(dataname='YHOO',\n                                  fromdate=datetime(2011, 1, 1),\n                                  todate=datetime(2012, 12, 31))\n\ncerebro.adddata(data0)\n\ncerebro.run()\ncerebro.plot()\n"
  },
  {
    "path": "samples/sizertest/sizertest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport random\n\nimport backtrader as bt\n\n\nclass CloseSMA(bt.Strategy):\n    params = (('period', 15),)\n\n    def __init__(self):\n        sma = bt.indicators.SMA(self.data, period=self.p.period)\n        self.crossover = bt.indicators.CrossOver(self.data, sma)\n\n    def next(self):\n        if self.crossover > 0:\n            self.buy()\n\n        elif self.crossover < 0:\n            self.sell()\n\n\nclass LongOnly(bt.Sizer):\n    params = (('stake', 1),)\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        if isbuy:\n            return self.p.stake\n\n        # Sell situation\n        position = self.broker.getposition(data)\n        if not position.size:\n            return 0  # do not sell if nothing is open\n\n        return self.p.stake\n\n\nclass FixedReverser(bt.Sizer):\n    params = (('stake', 1),)\n\n    def _getsizing(self, comminfo, cash, data, isbuy):\n        position = self.strategy.getposition(data)\n        size = self.p.stake * (1 + (position.size != 0))\n        return size\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0, name='Data0')\n\n    cerebro.addstrategy(CloseSMA, period=args.period)\n\n    if args.longonly:\n        cerebro.addsizer(LongOnly, stake=args.stake)\n    else:\n        cerebro.addsizer(bt.sizers.FixedReverser, stake=args.stake)\n\n    cerebro.run()\n    if args.plot:\n        pkwargs = dict()\n        if args.plot is not True:  # evals to True but is not True\n            pkwargs = eval('dict(' + args.plot + ')')  # args were passed\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for sizer')\n\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--longonly', required=False, action='store_true',\n                        help=('Use the LongOnly sizer'))\n\n    parser.add_argument('--stake', required=False, action='store',\n                        type=int, default=1,\n                        help=('Stake to pass to the sizers'))\n\n    parser.add_argument('--period', required=False, action='store',\n                        type=int, default=15,\n                        help=('Period for the Simple Moving Average'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/slippage/slippage.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport collections\nimport datetime\nimport itertools\n\nimport backtrader as bt\n\n\nclass SMACrossOver(bt.Indicator):\n    lines = ('signal',)\n    params = (('p1', 10), ('p2', 30),)\n\n    def __init__(self):\n        sma1 = bt.indicators.SMA(period=self.p.p1)\n        sma2 = bt.indicators.SMA(period=self.p.p2)\n        self.lines.signal = bt.indicators.CrossOver(sma1, sma2)\n\n\nclass SlipSt(bt.SignalStrategy):\n    opcounter = itertools.count(1)\n\n    def notify_order(self, order):\n        if order.status == bt.Order.Completed:\n            t = ''\n            t += '{:02d}'.format(next(self.opcounter))\n            t += ' {}'.format(order.data.datetime.datetime())\n            t += ' BUY ' * order.isbuy() or ' SELL'\n            t += ' Size: {:+d} / Price: {:.2f}'\n            print(t.format(order.executed.size, order.executed.price))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n    cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # if dataset is None, args.data has been given\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)\n\n    cerebro.signal_strategy(SlipSt)\n    if not args.longonly:\n        stype = bt.signal.SIGNAL_LONGSHORT\n    else:\n        stype = bt.signal.SIGNAL_LONG\n\n    cerebro.add_signal(stype, SMACrossOver, p1=args.period1, p2=args.period2)\n\n    if args.slip_perc is not None:\n        cerebro.broker.set_slippage_perc(args.slip_perc,\n                                         slip_open=args.slip_open,\n                                         slip_match=not args.no_slip_match,\n                                         slip_out=args.slip_out)\n\n    elif args.slip_fixed is not None:\n        cerebro.broker.set_slippage_fixed(args.slip_fixed,\n                                          slip_open=args.slip_open,\n                                          slip_match=not args.no_slip_match,\n                                          slip_out=args.slip_out)\n\n    cerebro.run()\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for Slippage')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Specific data to be read in')\n\n    parser.add_argument('--fromdate', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        type=float, default=50000,\n                        help=('Cash to start with'))\n\n    parser.add_argument('--period1', required=False, action='store',\n                        type=int, default=10,\n                        help=('Fast moving average period'))\n\n    parser.add_argument('--period2', required=False, action='store',\n                        type=int, default=30,\n                        help=('Slow moving average period'))\n\n    parser.add_argument('--longonly', required=False, action='store_true',\n                        help=('Long only strategy'))\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n    pgroup.add_argument('--slip_perc', required=False, default=None,\n                        type=float,\n                        help='Set the value for commission percentage')\n\n    pgroup.add_argument('--slip_fixed', required=False, default=None,\n                        type=float,\n                        help='Set the value for commission percentage')\n\n    parser.add_argument('--no-slip_match', required=False, action='store_true',\n                        help=('Match by capping slippage at bar ends'))\n\n    parser.add_argument('--slip_out', required=False, action='store_true',\n                        help=('Disable capping and return non-real prices'))\n\n    parser.add_argument('--slip_open', required=False, action='store_true',\n                        help=('Slip even if match price is next open'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/sratio/sratio.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport itertools\nimport math\nimport operator\nimport sys\n\n\nif sys.version_info.major == 2:\n    map = itertools.imap\n\n\ndef average(x):\n    return math.fsum(x) / len(x)\n\n\ndef variance(x):\n    avgx = average(x)\n    return list(map(lambda y: (y - avgx) ** 2, x))\n\n\ndef standarddev(x):\n    return math.sqrt(average(variance(x)))\n\n\ndef run(pargs=None):\n    args = parse_args(pargs)\n\n    returns = [args.ret1, args.ret2]\n    retfree = args.riskfreerate\n\n    print('returns is:', returns, ' - retfree is:', retfree)\n\n    # Directly from backtrader\n    retfree = itertools.repeat(retfree)\n    ret_free = map(operator.sub, returns, retfree)  # excess returns\n    ret_free_avg = average(list(ret_free))  # mean of the excess returns\n    print('returns excess mean:', ret_free_avg)\n    retdev = standarddev(returns)  # standard deviation\n    print('returns standard deviation:', retdev)\n    ratio = ret_free_avg / retdev  # mean excess returns  / std deviation\n    print('Sharpe Ratio is:', ratio)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample Sharpe Ratio')\n\n    parser.add_argument('--ret1', required=False, action='store',\n                        type=float, default=0.023286,\n                        help=('Annual Return 1'))\n\n    parser.add_argument('--ret2', required=False, action='store',\n                        type=float, default=0.0257816485323,\n                        help=('Annual Return 2'))\n\n    parser.add_argument('--riskfreerate', required=False, action='store',\n                        type=float, default=0.01,\n                        help=('Risk free rate (decimal) for the Sharpe Ratio'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    run()\n"
  },
  {
    "path": "samples/stop-trading/stop-loss-approaches.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass BaseStrategy(bt.Strategy):\n    params = dict(\n        fast_ma=10,\n        slow_ma=20,\n    )\n\n    def __init__(self):\n        # omitting a data implies self.datas[0] (aka self.data and self.data0)\n        fast_ma = bt.ind.EMA(period=self.p.fast_ma)\n        slow_ma = bt.ind.EMA(period=self.p.slow_ma)\n        # our entry point\n        self.crossup = bt.ind.CrossUp(fast_ma, slow_ma)\n\n\nclass ManualStopOrStopTrail(BaseStrategy):\n    params = dict(\n        stop_loss=0.02,  # price is 2% less than the entry point\n        trail=False,\n    )\n\n    def notify_order(self, order):\n        if not order.status == order.Completed:\n            return  # discard any other notification\n\n        if not self.position:  # we left the market\n            print('SELL@price: {:.2f}'.format(order.executed.price))\n            return\n\n        # We have entered the market\n        print('BUY @price: {:.2f}'.format(order.executed.price))\n\n        if not self.p.trail:\n            stop_price = order.executed.price * (1.0 - self.p.stop_loss)\n            self.sell(exectype=bt.Order.Stop, price=stop_price)\n        else:\n            self.sell(exectype=bt.Order.StopTrail, trailamount=self.p.trail)\n\n    def next(self):\n        if not self.position and self.crossup > 0:\n            # not in the market and signal triggered\n            self.buy()\n\n\nclass ManualStopOrStopTrailCheat(BaseStrategy):\n    params = dict(\n        stop_loss=0.02,  # price is 2% less than the entry point\n        trail=False,\n    )\n\n    def __init__(self):\n        super().__init__()\n        self.broker.set_coc(True)\n\n    def notify_order(self, order):\n        if not order.status == order.Completed:\n            return  # discard any other notification\n\n        if not self.position:  # we left the market\n            print('SELL@price: {:.2f}'.format(order.executed.price))\n            return\n\n        # We have entered the market\n        print('BUY @price: {:.2f}'.format(order.executed.price))\n\n    def next(self):\n        if not self.position and self.crossup > 0:\n            # not in the market and signal triggered\n            self.buy()\n\n            if not self.p.trail:\n                stop_price = self.data.close[0] * (1.0 - self.p.stop_loss)\n                self.sell(exectype=bt.Order.Stop, price=stop_price)\n            else:\n                self.sell(exectype=bt.Order.StopTrail,\n                          trailamount=self.p.trail)\n\n\nclass AutoStopOrStopTrail(BaseStrategy):\n    params = dict(\n        stop_loss=0.02,  # price is 2% less than the entry point\n        trail=False,\n        buy_limit=False,\n    )\n\n    buy_order = None  # default value for a potential buy_order\n\n    def notify_order(self, order):\n        if order.status == order.Cancelled:\n            print('CANCEL@price: {:.2f} {}'.format(\n                order.executed.price, 'buy' if order.isbuy() else 'sell'))\n            return\n\n        if not order.status == order.Completed:\n            return  # discard any other notification\n\n        if not self.position:  # we left the market\n            print('SELL@price: {:.2f}'.format(order.executed.price))\n            return\n\n        # We have entered the market\n        print('BUY @price: {:.2f}'.format(order.executed.price))\n\n    def next(self):\n        if not self.position and self.crossup > 0:\n            if self.buy_order:  # something was pending\n                self.cancel(self.buy_order)\n\n            # not in the market and signal triggered\n            if not self.p.buy_limit:\n                self.buy_order = self.buy(transmit=False)\n            else:\n                price = self.data.close[0] * (1.0 - self.p.buy_limit)\n\n                # transmit = False ... await child order before transmission\n                self.buy_order = self.buy(price=price, exectype=bt.Order.Limit,\n                                          transmit=False)\n\n            # Setting parent=buy_order ... sends both together\n            if not self.p.trail:\n                stop_price = self.data.close[0] * (1.0 - self.p.stop_loss)\n                self.sell(exectype=bt.Order.Stop, price=stop_price,\n                          parent=self.buy_order)\n            else:\n                self.sell(exectype=bt.Order.StopTrail,\n                          trailamount=self.p.trail,\n                          parent=self.buy_order)\n\n\nAPPROACHES = dict(\n    manual=ManualStopOrStopTrail,\n    manualcheat=ManualStopOrStopTrailCheat,\n    auto=AutoStopOrStopTrail,\n)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    StClass = APPROACHES[args.approach]\n    cerebro.addstrategy(StClass, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Stop-Loss Approaches'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Strategy to choose\n    parser.add_argument('approach', choices=APPROACHES.keys(),\n                        help='Stop approach to use')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/stoptrail/trail.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        ma=bt.ind.SMA,\n        p1=10,\n        p2=30,\n        stoptype=bt.Order.StopTrail,\n        trailamount=0.0,\n        trailpercent=0.0,\n        limitoffset=0.0,\n    )\n\n    def __init__(self):\n        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)\n        self.crup = bt.ind.CrossUp(ma1, ma2)\n        self.order = None\n\n    def next(self):\n        if not self.position:\n            if self.crup:\n                o = self.buy()\n                self.order = None\n                print('*' * 50)\n\n        elif self.order is None:\n            if self.p.stoptype == bt.Order.StopTrailLimit:\n                price = self.data.close[0]\n                plimit = self.data.close[0] + self.p.limitoffset\n            else:\n                price = None\n                plimit = None\n\n            self.order = self.sell(exectype=self.p.stoptype,\n                                   price=price,\n                                   plimit=plimit,\n                                   trailamount=self.p.trailamount,\n                                   trailpercent=self.p.trailpercent)\n\n            if self.p.trailamount:\n                tcheck = self.data.close - self.p.trailamount\n            else:\n                tcheck = self.data.close * (1.0 - self.p.trailpercent)\n            print(','.join(\n                map(str, [self.datetime.date(), self.data.close[0],\n                          self.order.created.price, tcheck])\n                )\n            )\n            print('-' * 10)\n        else:\n            if self.p.trailamount:\n                tcheck = self.data.close - self.p.trailamount\n            else:\n                tcheck = self.data.close * (1.0 - self.p.trailpercent)\n            print(','.join(\n                map(str, [self.datetime.date(), self.data.close[0],\n                          self.order.created.price, tcheck])\n                )\n            )\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'StopTrail Sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/strategy-selection/strategy-selection.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\n\nimport backtrader as bt\n\n\nclass St0(bt.SignalStrategy):\n    def __init__(self):\n        sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)\n        crossover = bt.ind.CrossOver(sma1, sma2)\n        self.signal_add(bt.SIGNAL_LONG, crossover)\n\n\nclass St1(bt.SignalStrategy):\n    def __init__(self):\n        sma1 = bt.ind.SMA(period=10)\n        crossover = bt.ind.CrossOver(self.data.close, sma1)\n        self.signal_add(bt.SIGNAL_LONG, crossover)\n\n\nclass StFetcher(object):\n    _STRATS = [St0, St1]\n\n    def __new__(cls, *args, **kwargs):\n        idx = kwargs.pop('idx')\n\n        obj = cls._STRATS[idx](*args, **kwargs)\n        return obj\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    cerebro = bt.Cerebro()\n    data = bt.feeds.BacktraderCSVData(dataname=args.data)\n    cerebro.adddata(data)\n\n    cerebro.addanalyzer(bt.analyzers.Returns)\n    cerebro.optstrategy(StFetcher, idx=[0, 1])\n    results = cerebro.run(maxcpus=args.maxcpus, optreturn=args.optreturn)\n\n    strats = [x[0] for x in results]  # flatten the result\n    for i, strat in enumerate(strats):\n        rets = strat.analyzers.returns.get_analysis()\n        print('Strat {} Name {}:\\n  - analyzer: {}\\n'.format(\n            i, strat.__class__.__name__, rets))\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for strategy selection')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--maxcpus', required=False, action='store',\n                        default=None, type=int,\n                        help='Limit the numer of CPUs to use')\n\n    parser.add_argument('--optreturn', required=False, action='store_true',\n                        help='Return reduced/mocked strategy object')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/talib/tablibsartest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass TALibStrategy(bt.Strategy):\n    def __init__(self):\n        bt.talib.SAR(self.data.high, self.data.low)\n        bt.ind.PSAR()\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0)\n\n    cerebro.addstrategy(TALibStrategy)\n    cerebro.run(runonce=not args.use_next, stdstats=False)\n    if args.plot:\n        pkwargs = dict(style='candle')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for sizer')\n\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--use-next', required=False, action='store_true',\n                        help=('Use next (step by step) '\n                              'instead of once (batch)'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example (escape the quotes if needed):\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/talib/talibtest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass TALibStrategy(bt.Strategy):\n    params = (('ind', 'sma'), ('doji', True),)\n\n    INDS = ['sma', 'ema', 'stoc', 'rsi', 'macd', 'bollinger', 'aroon',\n            'ultimate', 'trix', 'kama', 'adxr', 'dema', 'ppo', 'tema',\n            'roc', 'williamsr']\n\n    def __init__(self):\n        if self.p.doji:\n            bt.talib.CDLDOJI(self.data.open, self.data.high,\n                             self.data.low, self.data.close)\n\n        if self.p.ind == 'sma':\n            bt.talib.SMA(self.data.close, timeperiod=25, plotname='TA_SMA')\n            bt.indicators.SMA(self.data, period=25)\n        elif self.p.ind == 'ema':\n            bt.talib.EMA(timeperiod=25, plotname='TA_SMA')\n            bt.indicators.EMA(period=25)\n        elif self.p.ind == 'stoc':\n            bt.talib.STOCH(self.data.high, self.data.low, self.data.close,\n                           fastk_period=14, slowk_period=3, slowd_period=3,\n                           plotname='TA_STOCH')\n\n            bt.indicators.Stochastic(self.data)\n\n        elif self.p.ind == 'macd':\n            bt.talib.MACD(self.data, plotname='TA_MACD')\n            bt.indicators.MACD(self.data)\n            bt.indicators.MACDHisto(self.data)\n        elif self.p.ind == 'bollinger':\n            bt.talib.BBANDS(self.data, timeperiod=25,\n                            plotname='TA_BBANDS')\n            bt.indicators.BollingerBands(self.data, period=25)\n\n        elif self.p.ind == 'rsi':\n            bt.talib.RSI(self.data, plotname='TA_RSI')\n            bt.indicators.RSI(self.data)\n\n        elif self.p.ind == 'aroon':\n            bt.talib.AROON(self.data.high, self.data.low, plotname='TA_AROON')\n            bt.indicators.AroonIndicator(self.data)\n\n        elif self.p.ind == 'ultimate':\n            bt.talib.ULTOSC(self.data.high, self.data.low, self.data.close,\n                            plotname='TA_ULTOSC')\n            bt.indicators.UltimateOscillator(self.data)\n\n        elif self.p.ind == 'trix':\n            bt.talib.TRIX(self.data, timeperiod=25,  plotname='TA_TRIX')\n            bt.indicators.Trix(self.data, period=25)\n\n        elif self.p.ind == 'adxr':\n            bt.talib.ADXR(self.data.high, self.data.low, self.data.close,\n                          plotname='TA_ADXR')\n            bt.indicators.ADXR(self.data)\n\n        elif self.p.ind == 'kama':\n            bt.talib.KAMA(self.data, timeperiod=25, plotname='TA_KAMA')\n            bt.indicators.KAMA(self.data, period=25)\n\n        elif self.p.ind == 'dema':\n            bt.talib.DEMA(self.data, timeperiod=25, plotname='TA_DEMA')\n            bt.indicators.DEMA(self.data, period=25)\n\n        elif self.p.ind == 'ppo':\n            bt.talib.PPO(self.data, plotname='TA_PPO')\n            bt.indicators.PPO(self.data, _movav=bt.indicators.SMA)\n\n        elif self.p.ind == 'tema':\n            bt.talib.TEMA(self.data, timeperiod=25, plotname='TA_TEMA')\n            bt.indicators.TEMA(self.data, period=25)\n\n        elif self.p.ind == 'roc':\n            bt.talib.ROC(self.data, timeperiod=12, plotname='TA_ROC')\n            bt.talib.ROCP(self.data, timeperiod=12, plotname='TA_ROCP')\n            bt.talib.ROCR(self.data, timeperiod=12, plotname='TA_ROCR')\n            bt.talib.ROCR100(self.data, timeperiod=12, plotname='TA_ROCR100')\n            bt.indicators.ROC(self.data, period=12)\n            bt.indicators.Momentum(self.data, period=12)\n            bt.indicators.MomentumOscillator(self.data, period=12)\n\n        elif self.p.ind == 'williamsr':\n            bt.talib.WILLR(self.data.high, self.data.low, self.data.close,\n                           plotname='TA_WILLR')\n            bt.indicators.WilliamsR(self.data)\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    dkwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)\n    cerebro.adddata(data0)\n\n    cerebro.addstrategy(TALibStrategy, ind=args.ind, doji=not args.no_doji)\n\n    cerebro.run(runcone=not args.use_next, stdstats=False)\n    if args.plot:\n        pkwargs = dict(style='candle')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for sizer')\n\n    parser.add_argument('--data0', required=False,\n                        default='../../datas/yhoo-1996-2015.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--fromdate', required=False,\n                        default='2005-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=False,\n                        default='2006-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--ind', required=False, action='store',\n                        default=TALibStrategy.INDS[0],\n                        choices=TALibStrategy.INDS,\n                        help=('Which indicator pair to show together'))\n\n    parser.add_argument('--no-doji', required=False, action='store_true',\n                        help=('Remove Doji CandleStick pattern checker'))\n\n    parser.add_argument('--use-next', required=False, action='store_true',\n                        help=('Use next (step by step) '\n                              'instead of once (batch)'))\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example (escape the quotes if needed):\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/timers/scheduled-min.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        when=bt.timer.SESSION_START,\n        timer=True,\n        cheat=False,\n        offset=datetime.timedelta(),\n        repeat=datetime.timedelta(),\n        weekdays=[],\n        weekcarry=False,\n        monthdays=[],\n        monthcarry=True,\n    )\n\n    def __init__(self):\n        bt.ind.SMA()\n        if self.p.timer:\n            self.add_timer(\n                when=self.p.when,\n                offset=self.p.offset,\n                repeat=self.p.repeat,\n                weekdays=self.p.weekdays,\n                weekcarry=self.p.weekcarry,\n                monthdays=self.p.monthdays,\n                monthcarry=self.p.monthcarry,\n                # tzdata=self.data0,\n            )\n        if self.p.cheat:\n            self.add_timer(\n                when=self.p.when,\n                offset=self.p.offset,\n                repeat=self.p.repeat,\n                weekdays=self.p.weekdays,\n                weekcarry=self.p.weekcarry,\n                monthdays=self.p.monthdays,\n                monthcarry=self.p.monthcarry,\n                tzdata=self.data0,\n                cheat=True,\n            )\n\n        self.order = None\n\n    def prenext(self):\n        self.next()\n\n    def next(self):\n        _, isowk, isowkday = self.datetime.date().isocalendar()\n        txt = '{}, {}, Week {}, Day {}, O {}, H {}, L {}, C {}'.format(\n            len(self), self.datetime.datetime(),\n            isowk, isowkday,\n            self.data.open[0], self.data.high[0],\n            self.data.low[0], self.data.close[0])\n\n        print(txt)\n\n    def notify_timer(self, timer, when, *args, **kwargs):\n        print('strategy notify_timer with tid {}, when {} cheat {}'.\n              format(timer.p.tid, when, timer.p.cheat))\n\n        if self.order is None and timer.params.cheat:\n            print('-- {} Create buy order'.format(\n                self.data.datetime.datetime()))\n            self.order = self.buy()\n\n    def notify_order(self, order):\n        if order.status == order.Completed:\n            print('-- {} Buy Exec @ {}'.format(\n                self.data.datetime.datetime(), order.executed.price))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict(\n        timeframe=bt.TimeFrame.Minutes,\n        compression=5,\n        sessionstart=datetime.time(9, 0),\n        sessionend=datetime.time(17, 30),\n    )\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Timer Test Intraday'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2006-min-005.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/timers/scheduled.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = dict(\n        when=bt.timer.SESSION_START,\n        timer=True,\n        cheat=False,\n        offset=datetime.timedelta(),\n        repeat=datetime.timedelta(),\n        weekdays=[],\n    )\n\n    def __init__(self):\n        bt.ind.SMA()\n        if self.p.timer:\n            self.add_timer(\n                when=self.p.when,\n                offset=self.p.offset,\n                repeat=self.p.repeat,\n                weekdays=self.p.weekdays,\n            )\n        if self.p.cheat:\n            self.add_timer(\n                when=self.p.when,\n                offset=self.p.offset,\n                repeat=self.p.repeat,\n                cheat=True,\n            )\n\n        self.order = None\n\n    def prenext(self):\n        self.next()\n\n    def next(self):\n        _, isowk, isowkday = self.datetime.date().isocalendar()\n        txt = '{}, {}, Week {}, Day {}, O {}, H {}, L {}, C {}'.format(\n            len(self), self.datetime.datetime(),\n            isowk, isowkday,\n            self.data.open[0], self.data.high[0],\n            self.data.low[0], self.data.close[0])\n\n        print(txt)\n\n    def notify_timer(self, timer, when, *args, **kwargs):\n        print('strategy notify_timer with tid {}, when {} cheat {}'.\n              format(timer.p.tid, when, timer.p.cheat))\n\n        if self.order is None and timer.p.cheat:\n            print('-- {} Create buy order'.format(self.data.datetime.date()))\n            self.order = self.buy()\n\n    def notify_order(self, order):\n        if order.status == order.Completed:\n            print('-- {} Buy Exec @ {}'.format(\n                self.data.datetime.date(), order.executed.price))\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict(\n        timeframe=bt.TimeFrame.Days,\n        compression=1,\n        sessionstart=datetime.time(9, 0),\n        sessionend=datetime.time(17, 30),\n    )\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Sample Skeleton'\n        )\n    )\n\n    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/tradingcalendar/tcal-intra.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass NYSE_2016(bt.TradingCalendar):\n    params = dict(\n        holidays=[\n            datetime.date(2016, 1, 1),\n            datetime.date(2016, 1, 18),\n            datetime.date(2016, 2, 15),\n            datetime.date(2016, 3, 25),\n            datetime.date(2016, 5, 30),\n            datetime.date(2016, 7, 4),\n            datetime.date(2016, 9, 5),\n            datetime.date(2016, 11, 24),\n            datetime.date(2016, 12, 26),\n        ],\n        earlydays=[\n            (datetime.date(2016, 11, 25),\n             datetime.time(9, 30), datetime.time(13, 1))\n        ],\n        open=datetime.time(9, 30),\n        close=datetime.time(16, 0),\n    )\n\n\nclass St(bt.Strategy):\n    params = dict(\n    )\n\n    def __init__(self):\n        pass\n\n    def prenext(self):\n        self.next()\n\n    def next(self):\n        print('Strategy len {} datetime {}'.format(\n            len(self), self.datetime.datetime()), end=' ')\n\n        print('Data0 len {} datetime {}'.format(\n            len(self.data0), self.data0.datetime.datetime()), end=' ')\n\n        if len(self.data1):\n            print('Data1 len {} datetime {}'.format(\n                len(self.data1), self.data1.datetime.datetime()))\n        else:\n            print()\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    # kwargs = dict(tz='US/Eastern')\n    # import pytz\n    # tz = tzinput = pytz.timezone('Europe/Berlin')\n    tzinput = 'Europe/Berlin'\n    # tz = tzinput\n    tz = 'US/Eastern'\n    kwargs = dict(tzinput=tzinput, tz=tz)\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    # Data feed\n    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    d1 = cerebro.resampledata(data0,\n                              timeframe=getattr(bt.TimeFrame, args.timeframe))\n    # d1.plotinfo.plotmaster = data0\n    # d1.plotinfo.sameaxis = False\n\n    if args.pandascal:\n        cerebro.addcalendar(args.pandascal)\n    elif args.owncal:\n        cerebro.addcalendar(NYSE_2016())  # or NYSE_2016() to pass an instance\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Trading Calendar Sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='yhoo-2016-11.csv',\n                        required=False, help='Data to read in')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='2016-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='2016-12-31',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n    pgroup.add_argument('--pandascal', required=False, action='store',\n                        default='', help='Name of trading calendar to use')\n\n    pgroup.add_argument('--owncal', required=False, action='store_true',\n                        help='Apply custom NYSE 2016 calendar')\n\n    parser.add_argument('--timeframe', required=False, action='store',\n                        default='Days', choices=['Days'],\n                        help='Timeframe to resample to')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/tradingcalendar/tcal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\n\nclass NYSE_2016(bt.TradingCalendar):\n    params = dict(\n        holidays=[\n            datetime.date(2016, 1, 1),\n            datetime.date(2016, 1, 18),\n            datetime.date(2016, 2, 15),\n            datetime.date(2016, 3, 25),\n            datetime.date(2016, 5, 30),\n            datetime.date(2016, 7, 4),\n            datetime.date(2016, 9, 5),\n            datetime.date(2016, 11, 24),\n            datetime.date(2016, 12, 26),\n        ]\n    )\n\n\nclass St(bt.Strategy):\n    params = dict(\n    )\n\n    def __init__(self):\n        pass\n\n    def start(self):\n        self.t0 = datetime.datetime.utcnow()\n\n    def stop(self):\n        t1 = datetime.datetime.utcnow()\n        print('Duration:', t1 - self.t0)\n\n    def prenext(self):\n        self.next()\n\n    def next(self):\n        print('Strategy len {} datetime {}'.format(\n            len(self), self.datetime.date()), end=' ')\n\n        print('Data0 len {} datetime {}'.format(\n            len(self.data0), self.data0.datetime.date()), end=' ')\n\n        if len(self.data1):\n            print('Data1 len {} datetime {}'.format(\n                len(self.data1), self.data1.datetime.date()))\n        else:\n            print()\n\n\ndef runstrat(args=None):\n    args = parse_args(args)\n\n    cerebro = bt.Cerebro()\n\n    # Data feed kwargs\n    kwargs = dict()\n\n    # Parse from/to-date\n    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'\n    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):\n        if a:\n            strpfmt = dtfmt + tmfmt * ('T' in a)\n            kwargs[d] = datetime.datetime.strptime(a, strpfmt)\n\n    YahooData = bt.feeds.YahooFinanceData\n    if args.offline:\n        YahooData = bt.feeds.YahooFinanceCSVData  # change to read file\n\n    # Data feed\n    data0 = YahooData(dataname=args.data0, **kwargs)\n    cerebro.adddata(data0)\n\n    d1 = cerebro.resampledata(data0,\n                              timeframe=getattr(bt.TimeFrame, args.timeframe))\n    d1.plotinfo.plotmaster = data0\n    d1.plotinfo.sameaxis = True\n\n    if args.pandascal:\n        cerebro.addcalendar(args.pandascal)\n    elif args.owncal:\n        cerebro.addcalendar(NYSE_2016)\n\n    # Broker\n    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))\n\n    # Sizer\n    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))\n\n    # Strategy\n    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))\n\n    # Execute\n    cerebro.run(**eval('dict(' + args.cerebro + ')'))\n\n    if args.plot:  # Plot if requested to\n        cerebro.plot(**eval('dict(' + args.plot + ')'))\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description=(\n            'Trading Calendar Sample'\n        )\n    )\n\n    parser.add_argument('--data0', default='YHOO',\n                        required=False, help='Data to read in')\n\n    parser.add_argument('--offline', required=False, action='store_true',\n                        help='Read from disk with same name as ticker')\n\n    # Defaults for dates\n    parser.add_argument('--fromdate', required=False, default='2016-01-01',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--todate', required=False, default='2016-12-31',\n                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')\n\n    parser.add_argument('--cerebro', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--broker', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--sizer', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--strat', required=False, default='',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    parser.add_argument('--plot', required=False, default='',\n                        nargs='?', const='{}',\n                        metavar='kwargs', help='kwargs in key=value format')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n    pgroup.add_argument('--pandascal', required=False, action='store',\n                        default='', help='Name of trading calendar to use')\n\n    pgroup.add_argument('--owncal', required=False, action='store_true',\n                        help='Apply custom NYSE 2016 calendar')\n\n    parser.add_argument('--timeframe', required=False, action='store',\n                        default='Weeks', choices=['Weeks', 'Months', 'Years'],\n                        help='Timeframe to resample to')\n\n    return parser.parse_args(pargs)\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/vctest/vctest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nfrom backtrader.utils import flushfile  # win32 quick stdout flushing\nfrom backtrader.utils.py3 import string_types\n\n\nclass TestStrategy(bt.Strategy):\n    params = dict(\n        smaperiod=5,\n        trade=False,\n        stake=10,\n        exectype=bt.Order.Market,\n        stopafter=0,\n        valid=None,\n        cancel=0,\n        donotsell=False,\n        price=None,\n        pstoplimit=None,\n    )\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = list()\n        self.order = None\n\n        self.counttostop = 0\n        self.datastatus = 0\n\n        # Create SMA on 2nd data\n        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)\n\n        print('--------------------------------------------------')\n        print('Strategy Created')\n        print('--------------------------------------------------')\n\n    def notify_data(self, data, status, *args, **kwargs):\n        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)\n        if status == data.LIVE:\n            self.counttostop = self.p.stopafter\n            self.datastatus = 1\n\n    def notify_store(self, msg, *args, **kwargs):\n        print('*' * 5, 'STORE NOTIF:', msg)\n\n    def notify_order(self, order):\n        if order.status in [order.Completed, order.Cancelled, order.Rejected]:\n            self.order = None\n\n        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())\n        print(order)\n        print('-' * 50, 'ORDER END')\n\n    def notify_trade(self, trade):\n        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())\n        print(trade)\n        print('-' * 50, 'TRADE END')\n\n    def prenext(self):\n        self.next(frompre=True)\n\n    def next(self, frompre=False):\n        txt = list()\n        txt.append('%04d' % len(self))\n        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))\n        txt.append('{}'.format(self.data.open[0]))\n        txt.append('{}'.format(self.data.high[0]))\n        txt.append('{}'.format(self.data.low[0]))\n        txt.append('{}'.format(self.data.close[0]))\n        txt.append('{}'.format(self.data.volume[0]))\n        txt.append('{}'.format(self.data.openinterest[0]))\n        txt.append('{}'.format(self.sma[0]))\n        print(', '.join(txt))\n\n        if len(self.datas) > 1:\n            txt = list()\n            txt.append('%04d' % len(self))\n            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'\n            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))\n            txt.append('{}'.format(self.data1.open[0]))\n            txt.append('{}'.format(self.data1.high[0]))\n            txt.append('{}'.format(self.data1.low[0]))\n            txt.append('{}'.format(self.data1.close[0]))\n            txt.append('{}'.format(self.data1.volume[0]))\n            txt.append('{}'.format(self.data1.openinterest[0]))\n            txt.append('{}'.format(float('NaN')))\n            print(', '.join(txt))\n\n        if self.counttostop:  # stop after x live lines\n            self.counttostop -= 1\n            if not self.counttostop:\n                self.env.runstop()\n                return\n\n        if not self.p.trade:\n            return\n\n        # if True and len(self.orderid) < 1:\n        if self.datastatus and not self.position and len(self.orderid) < 1:\n            self.order = self.buy(size=self.p.stake,\n                                  exectype=self.p.exectype,\n                                  price=self.p.price,\n                                  plimit=self.p.pstoplimit,\n                                  valid=self.p.valid)\n\n            self.orderid.append(self.order)\n        elif self.position.size > 0 and not self.p.donotsell:\n            if self.order is None:\n                size = self.p.stake // 2\n                if not size:\n                    size = self.position.size  # use the remaining\n                self.order = self.sell(size=size, exectype=bt.Order.Market)\n\n        elif self.order is not None and self.p.cancel:\n            if self.datastatus > self.p.cancel:\n                self.cancel(self.order)\n\n        if self.datastatus:\n            self.datastatus += 1\n\n    def start(self):\n        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',\n                  'OpenInterest', 'SMA']\n        print(', '.join(header))\n\n        self.done = False\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    storekwargs = dict()\n\n    if not args.nostore:\n        vcstore = bt.stores.VCStore(**storekwargs)\n\n    if args.broker:\n        brokerargs = dict(account=args.account, **storekwargs)\n        if not args.nostore:\n            broker = vcstore.getbroker(**brokerargs)\n        else:\n            broker = bt.brokers.VCBroker(**brokerargs)\n\n        cerebro.setbroker(broker)\n\n    timeframe = bt.TimeFrame.TFrame(args.timeframe)\n    if args.resample or args.replay:\n        datatf = bt.TimeFrame.Ticks\n        datacomp = 1\n    else:\n        datatf = timeframe\n        datacomp = args.compression\n\n    fromdate = None\n    if args.fromdate:\n        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))\n        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)\n\n    todate = None\n    if args.todate:\n        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.todate))\n        todate = datetime.datetime.strptime(args.todate, dtformat)\n\n    VCDataFactory = vcstore.getdata if not args.nostore else bt.feeds.VCData\n\n    datakwargs = dict(\n        timeframe=datatf, compression=datacomp,\n        fromdate=fromdate, todate=todate,\n        historical=args.historical,\n        qcheck=args.qcheck,\n        tz=args.timezone\n    )\n\n    if args.nostore and not args.broker:   # neither store nor broker\n        datakwargs.update(storekwargs)  # pass the store args over the data\n\n    data0 = VCDataFactory(dataname=args.data0, tradename=args.tradename,\n                          **datakwargs)\n\n    data1 = None\n    if args.data1 is not None:\n        data1 = VCDataFactory(dataname=args.data1, **datakwargs)\n\n    rekwargs = dict(\n        timeframe=timeframe, compression=args.compression,\n        bar2edge=not args.no_bar2edge,\n        adjbartime=not args.no_adjbartime,\n        rightedge=not args.no_rightedge,\n    )\n\n    if args.replay:\n        cerebro.replaydata(data0, **rekwargs)\n\n        if data1 is not None:\n            cerebro.replaydata(data1, **rekwargs)\n\n    elif args.resample:\n        cerebro.resampledata(data0, **rekwargs)\n\n        if data1 is not None:\n            cerebro.resampledata(data1, **rekwargs)\n\n    else:\n        cerebro.adddata(data0)\n        if data1 is not None:\n            cerebro.adddata(data1)\n\n    if args.valid is None:\n        valid = None\n    else:\n        try:\n            valid = float(args.valid)\n        except:\n            dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.valid))\n            valid = datetime.datetime.strptime(args.valid, dtformat)\n        else:\n            valid = datetime.timedelta(seconds=args.valid)\n\n    # Add the strategy\n    cerebro.addstrategy(TestStrategy,\n                        smaperiod=args.smaperiod,\n                        trade=args.trade,\n                        exectype=bt.Order.ExecType(args.exectype),\n                        stake=args.stake,\n                        stopafter=args.stopafter,\n                        valid=valid,\n                        cancel=args.cancel,\n                        donotsell=args.donotsell,\n                        price=args.price,\n                        pstoplimit=args.pstoplimit)\n\n    # Live data ... avoid long data accumulation by switching to \"exactbars\"\n    cerebro.run(exactbars=args.exactbars)\n\n    if args.plot and args.exactbars < 1:  # plot if possible\n        cerebro.plot()\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Test Visual Chart 6 integration')\n\n    parser.add_argument('--exactbars', default=1, type=int,\n                        required=False, action='store',\n                        help='exactbars level, use 0/-1/-2 to enable plotting')\n\n    parser.add_argument('--plot',\n                        required=False, action='store_true',\n                        help='Plot if possible')\n\n    parser.add_argument('--stopafter', default=0, type=int,\n                        required=False, action='store',\n                        help='Stop after x lines of LIVE data')\n\n    parser.add_argument('--nostore',\n                        required=False, action='store_true',\n                        help='Do not Use the store pattern')\n\n    parser.add_argument('--qcheck', default=0.5, type=float,\n                        required=False, action='store',\n                        help=('Timeout for periodic '\n                              'notification/resampling/replaying check'))\n\n    parser.add_argument('--no-timeoffset',\n                        required=False, action='store_true',\n                        help=('Do not Use TWS/System time offset for non '\n                              'timestamped prices and to align resampling'))\n\n    parser.add_argument('--data0', default=None,\n                        required=True, action='store',\n                        help='data 0 into the system')\n\n    parser.add_argument('--tradename', default=None,\n                        required=False, action='store',\n                        help='Actual Trading Name of the asset')\n\n    parser.add_argument('--data1', default=None,\n                        required=False, action='store',\n                        help='data 1 into the system')\n\n    parser.add_argument('--timezone', default=None,\n                        required=False, action='store',\n                        help='timezone to get time output into (pytz names)')\n\n    parser.add_argument('--historical',\n                        required=False, action='store_true',\n                        help='do only historical download')\n\n    parser.add_argument('--fromdate',\n                        required=False, action='store',\n                        help=('Starting date for historical download '\n                              'with format: YYYY-MM-DD[THH:MM:SS]'))\n\n    parser.add_argument('--todate',\n                        required=False, action='store',\n                        help=('End date for historical download '\n                              'with format: YYYY-MM-DD[THH:MM:SS]'))\n\n    parser.add_argument('--smaperiod', default=5, type=int,\n                        required=False, action='store',\n                        help='Period to apply to the Simple Moving Average')\n\n    pgroup = parser.add_mutually_exclusive_group(required=False)\n\n    pgroup.add_argument('--replay',\n                        required=False, action='store_true',\n                        help='replay to chosen timeframe')\n\n    pgroup.add_argument('--resample',\n                        required=False, action='store_true',\n                        help='resample to chosen timeframe')\n\n    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[0],\n                        choices=bt.TimeFrame.Names,\n                        required=False, action='store',\n                        help='TimeFrame for Resample/Replay')\n\n    parser.add_argument('--compression', default=1, type=int,\n                        required=False, action='store',\n                        help='Compression for Resample/Replay')\n\n    parser.add_argument('--no-bar2edge',\n                        required=False, action='store_true',\n                        help='no bar2edge for resample/replay')\n\n    parser.add_argument('--no-adjbartime',\n                        required=False, action='store_true',\n                        help='no adjbartime for resample/replay')\n\n    parser.add_argument('--no-rightedge',\n                        required=False, action='store_true',\n                        help='no rightedge for resample/replay')\n\n    parser.add_argument('--broker',\n                        required=False, action='store_true',\n                        help='Use VisualChart as broker')\n\n    parser.add_argument('--account', default=None,\n                        required=False, action='store',\n                        help='Choose broker account (else first)')\n\n    parser.add_argument('--trade',\n                        required=False, action='store_true',\n                        help='Do Sample Buy/Sell operations')\n\n    parser.add_argument('--donotsell',\n                        required=False, action='store_true',\n                        help='Do not sell after a buy')\n\n    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],\n                        choices=bt.Order.ExecTypes,\n                        required=False, action='store',\n                        help='Execution to Use when opening position')\n\n    parser.add_argument('--price', default=None, type=float,\n                        required=False, action='store',\n                        help='Price in Limit orders or Stop Trigger Price')\n\n    parser.add_argument('--pstoplimit', default=None, type=float,\n                        required=False, action='store',\n                        help='Price for the limit in StopLimit')\n\n    parser.add_argument('--stake', default=10, type=int,\n                        required=False, action='store',\n                        help='Stake to use in buy operations')\n\n    parser.add_argument('--valid', default=None,\n                        required=False, action='store',\n                        help='Seconds or YYYY-MM-DD')\n\n    parser.add_argument('--cancel', default=0, type=int,\n                        required=False, action='store',\n                        help=('Cancel a buy order after n bars in operation,'\n                              ' to be combined with orders like Limit'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/volumefilling/volumefilling.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport os.path\nimport time\nimport sys\n\n\nimport backtrader as bt\n\n\nclass St(bt.Strategy):\n    params = (\n        ('stakeperc', 10.0),\n        ('opbreak', 10),\n    )\n\n    def notify_order(self, order):\n        print('-- NOTIFY ORDER BEGIN')\n        print(order)\n        print('-- NOTIFY ORDER END')\n        print('-- ORDER REMSIZE:', order.executed.remsize)\n\n        if order.status == order.Completed:\n            print('++ ORDER COMPLETED at data.len:', len(order.data))\n            self.doop = -self.p.opbreak\n\n    def __init__(self):\n        pass\n\n    def start(self):\n        self.callcounter = 0\n        txtfields = list()\n        txtfields.append('Len')\n        txtfields.append('Datetime')\n        txtfields.append('Open')\n        txtfields.append('High')\n        txtfields.append('Low')\n        txtfields.append('Close')\n        txtfields.append('Volume')\n        txtfields.append('OpenInterest')\n        print(','.join(txtfields))\n\n        self.doop = 0\n\n    def next(self):\n        txtfields = list()\n        txtfields.append('%04d' % len(self))\n        txtfields.append(self.data0.datetime.date(0).isoformat())\n        txtfields.append('%.2f' % self.data0.open[0])\n        txtfields.append('%.2f' % self.data0.high[0])\n        txtfields.append('%.2f' % self.data0.low[0])\n        txtfields.append('%.2f' % self.data0.close[0])\n        txtfields.append('%.2f' % self.data0.volume[0])\n        txtfields.append('%.2f' % self.data0.openinterest[0])\n        print(','.join(txtfields))\n\n        # Single order\n        if self.doop == 0:\n            if not self.position.size:\n                stakevol = (self.data0.volume[0] * self.p.stakeperc) // 100\n                print('++ STAKE VOLUME:', stakevol)\n                self.buy(size=stakevol)\n\n            else:\n                self.close()\n\n        self.doop += 1\n\n\nFILLERS = {\n    'FixedSize': bt.broker.fillers.FixedSize,\n    'FixedBarPerc': bt.broker.fillers.FixedBarPerc,\n    'BarPointPerc': bt.broker.fillers.BarPointPerc,\n}\n\n\ndef runstrat():\n    args = parse_args()\n\n    datakwargs = dict()\n    if args.fromdate:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        datakwargs['fromdate'] = fromdate\n\n    if args.todate:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        datakwargs['todate'] = todate\n\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **datakwargs)\n\n    cerebro = bt.Cerebro()\n    cerebro.adddata(data)\n\n    cerebro.broker.set_cash(args.cash)\n    if args.filler is not None:\n        fillerkwargs = dict()\n        if args.filler_args is not None:\n            fillerkwargs = eval('dict(' + args.filler_args + ')')\n\n        filler = FILLERS[args.filler](**fillerkwargs)\n        cerebro.broker.set_filler(filler)\n\n    cerebro.addstrategy(St, stakeperc=args.stakeperc, opbreak=args.opbreak)\n\n    cerebro.run()\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Volume Filling Sample')\n\n    parser.add_argument('--data', required=False,\n                        default='../../datas/2006-volume-day-001.txt',\n                        help='Data to be read in')\n\n    parser.add_argument('--cash', required=False, action='store',\n                        default=500e6, type=float,\n                        help=('Starting cash'))\n\n    parser.add_argument('--filler', required=False, action='store',\n                        default=None, choices=FILLERS.keys(),\n                        help=('Apply a volume filler for the execution'))\n\n    parser.add_argument('--filler-args', required=False, action='store',\n                        default=None,\n                        help=('kwargs for the filler with format:\\n'\n                              '\\n'\n                              'arg1=val1,arg2=val2...'))\n\n    parser.add_argument('--stakeperc', required=False, action='store',\n                        type=float, default=10.0,\n                        help=('Percentage of 1st bar to use for stake'))\n\n    parser.add_argument('--opbreak', required=False, action='store',\n                        type=int, default=10,\n                        help=('Bars to wait for new op after completing '\n                              'another'))\n\n    parser.add_argument('--fromdate', '-f', required=False, default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', required=False, default=None,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help=('Plot the result'))\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/vwr/vwr.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\n\nTFRAMES = dict(\n    days=bt.TimeFrame.Days,\n    weeks=bt.TimeFrame.Weeks,\n    months=bt.TimeFrame.Months,\n    years=bt.TimeFrame.Years)\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    if args.cash is not None:\n        cerebro.broker.set_cash(args.cash)\n\n    dkwargs = dict()\n    # Get the dates from the args\n    if args.fromdate is not None:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n        dkwargs['fromdate'] = fromdate\n    if args.todate is not None:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n        dkwargs['todate'] = todate\n\n    # Create the 1st data\n    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)\n    cerebro.adddata(data)  # Add the data to cerebro\n\n    cerebro.addstrategy(bt.strategies.SMA_CrossOver)  # Add the strategy\n\n    lrkwargs = dict()\n    if args.tframe is not None:\n        lrkwargs['timeframe'] = TFRAMES[args.tframe]\n\n    if args.tann is not None:\n        lrkwargs['tann'] = args.tann\n\n    cerebro.addanalyzer(bt.analyzers.Returns, **lrkwargs)  # Returns\n\n    vwrkwargs = dict()\n    if args.tframe is not None:\n        vwrkwargs['timeframe'] = TFRAMES[args.tframe]\n\n    if args.tann is not None:\n        vwrkwargs['tann'] = args.tann\n\n    if args.sigma_max is not None:\n        vwrkwargs['sigma_max'] = args.sigma_max\n\n    if args.tau is not None:\n        vwrkwargs['tau'] = args.tau\n\n    cerebro.addanalyzer(bt.analyzers.SQN)  # VWR Analyzer\n    cerebro.addanalyzer(bt.analyzers.SharpeRatio_A)  # VWR Analyzer\n    cerebro.addanalyzer(bt.analyzers.VWR, **vwrkwargs)  # VWR Analyzer\n    # Sample time return analyzers\n    cerebro.addanalyzer(bt.analyzers.TimeReturn,\n                        timeframe=bt.TimeFrame.Months)\n    cerebro.addanalyzer(bt.analyzers.TimeReturn,\n                        timeframe=bt.TimeFrame.Years)\n\n    # Add a writer to get output\n    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)\n\n    cerebro.run()  # And run it\n\n    # Plot if requested\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='VWR')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2005-2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--cash', default=None, type=float, required=False,\n                        help='Starting Cash')\n\n    parser.add_argument('--fromdate', '-f',\n                        default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default=None,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--writercsv', '-wcsv', action='store_true',\n                        help='Tell the writer to produce a csv stream')\n\n    parser.add_argument('--tframe', '--timeframe', default=None,\n                        required=False, choices=TFRAMES.keys(),\n                        help='TimeFrame for the Returns/Sharpe calculations')\n\n    parser.add_argument('--sigma-max', required=False, action='store',\n                        type=float, default=None,\n                        help='VWR Sigma Max')\n\n    parser.add_argument('--tau', required=False, action='store',\n                        type=float, default=None,\n                        help='VWR tau factor')\n\n    parser.add_argument('--tann', required=False, action='store',\n                        type=float, default=None,\n                        help=('Annualization factor'))\n\n    parser.add_argument('--stddev-sample', required=False, action='store_true',\n                        help='Consider Bessels correction for stddeviation')\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/weekdays-filler/weekdaysaligner.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nimport backtrader.utils.flushfile\n\n# from wkdaysfiller import WeekDaysFiller\nfrom weekdaysfiller import WeekDaysFiller\n\n\nclass St(bt.Strategy):\n    params = (('sma', 0),)\n\n    def __init__(self):\n        if self.p.sma:\n            btind.SMA(self.data0, period=self.p.sma)\n            btind.SMA(self.data1, period=self.p.sma)\n\n    def next(self):\n        dtequal = (self.data0.datetime.datetime() ==\n                   self.data1.datetime.datetime())\n\n        txt = ''\n        txt += '%04d, %5s' % (len(self), str(dtequal))\n        txt += ', data0, %s' % self.data0.datetime.datetime().isoformat()\n        txt += ', %s, data1' % self.data1.datetime.datetime().isoformat()\n        print(txt)\n\n\ndef runstrat():\n    args = parse_args()\n\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    cerebro = bt.Cerebro(stdstats=False)\n\n    DataFeed = btfeeds.YahooFinanceCSVData\n    if args.online:\n        DataFeed = btfeeds.YahooFinanceData\n\n    data0 = DataFeed(dataname=args.data0, fromdate=fromdate, todate=todate)\n\n    if args.data1:\n        data1 = DataFeed(dataname=args.data1, fromdate=fromdate, todate=todate)\n    else:\n        data1 = data0.clone()\n\n    if args.filler or args.filler0:\n        data0.addfilter(WeekDaysFiller, fillclose=args.fillclose)\n\n    if args.filler or args.filler1:\n        data1.addfilter(WeekDaysFiller, fillclose=args.fillclose)\n\n    cerebro.adddata(data0)\n    cerebro.adddata(data1)\n\n    cerebro.addstrategy(St, sma=args.sma)\n    cerebro.run(runonce=True, preload=True)\n\n    if args.plot:\n        cerebro.plot(style='bar')\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Sample for aligning with trade ')\n\n    parser.add_argument('--online', required=False, action='store_true',\n                        help='Fetch data online from Yahoo')\n\n    parser.add_argument('--data0', required=True, help='Data 0 to be read in')\n    parser.add_argument('--data1', required=False, help='Data 1 to be read in')\n\n    parser.add_argument('--sma', required=False, default=0, type=int,\n                        help='Add a sma to the datas')\n\n    parser.add_argument('--fillclose', required=False, action='store_true',\n                        help='Fill with Close price instead of NaN')\n\n    parser.add_argument('--filler', required=False, action='store_true',\n                        help='Add Filler to Datas 0 and 1')\n\n    parser.add_argument('--filler0', required=False, action='store_true',\n                        help='Add Filler to Data 0')\n\n    parser.add_argument('--filler1', required=False, action='store_true',\n                        help='Add Filler to Data 1')\n\n    parser.add_argument('--fromdate', '-f', default='2012-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', default='2012-12-31',\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--plot', required=False, action='store_true',\n                        help='Do plot')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "samples/weekdays-filler/weekdaysfiller.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\n\n\nclass WeekDaysFiller(object):\n    '''Bar Filler to add missing calendar days to trading days'''\n    # kickstart value for date comparisons\n    ONEDAY = datetime.timedelta(days=1)\n    lastdt = datetime.date.max - ONEDAY\n\n    def __init__(self, data, fillclose=False):\n        self.fillclose = fillclose\n        self.voidbar = [float('Nan')] * data.size()  # init a void bar\n\n    def __call__(self, data):\n        '''Empty bars (NaN) or with last close price are added for weekdays with no\n        data\n\n        Params:\n          - data: the data source to filter/process\n\n        Returns:\n          - True (always): bars are removed (even if put back on the stack)\n\n        '''\n        dt = data.datetime.date()  # current date in int format\n        lastdt = self.lastdt + self.ONEDAY  # move last seen data once forward\n\n        while lastdt < dt:  # loop over gap bars\n            if lastdt.isoweekday() < 6:  # Mon-Fri\n                # Fill in date and add new bar to the stack\n                if self.fillclose:\n                    self.voidbar = [self.lastclose] * data.size()\n                dtime = datetime.datetime.combine(lastdt, data.p.sessionend)\n                self.voidbar[-1] = data.date2num(dtime)\n                data._add2stack(self.voidbar[:])\n\n            lastdt += self.ONEDAY  # move lastdt forward\n\n        self.lastdt = dt  # keep a record of the last seen date\n\n        self.lastclose = data.close[0]\n        data._save2stack(erase=True)  # dt bar to the stack and out of stream\n        return True  # bars are on the stack (new and original)\n"
  },
  {
    "path": "samples/writer-test/writer-test.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\n# The above could be sent to an independent module\nimport backtrader as bt\nimport backtrader.feeds as btfeeds\nimport backtrader.indicators as btind\nfrom backtrader.analyzers import SQN\n\n\nclass LongShortStrategy(bt.Strategy):\n    '''This strategy buys/sells upong the close price crossing\n    upwards/downwards a Simple Moving Average.\n\n    It can be a long-only strategy by setting the param \"onlylong\" to True\n    '''\n    params = dict(\n        period=15,\n        stake=1,\n        printout=False,\n        onlylong=False,\n        csvcross=False,\n    )\n\n    def start(self):\n        pass\n\n    def stop(self):\n        pass\n\n    def log(self, txt, dt=None):\n        if self.p.printout:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n\n    def __init__(self):\n        # To control operation entries\n        self.orderid = None\n\n        # Create SMA on 2nd data\n        sma = btind.MovAv.SMA(self.data, period=self.p.period)\n        # Create a CrossOver Signal from close an moving average\n        self.signal = btind.CrossOver(self.data.close, sma)\n        self.signal.csv = self.p.csvcross\n\n    def next(self):\n        if self.orderid:\n            return  # if an order is active, no new orders are allowed\n\n        if self.signal > 0.0:  # cross upwards\n            if self.position:\n                self.log('CLOSE SHORT , %.2f' % self.data.close[0])\n                self.close()\n\n            self.log('BUY CREATE , %.2f' % self.data.close[0])\n            self.buy(size=self.p.stake)\n\n        elif self.signal < 0.0:\n            if self.position:\n                self.log('CLOSE LONG , %.2f' % self.data.close[0])\n                self.close()\n\n            if not self.p.onlylong:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n                self.sell(size=self.p.stake)\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if order.isbuy():\n                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price\n                self.log(buytxt, order.executed.dt)\n            else:\n                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n                self.log(selltxt, order.executed.dt)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            self.log('%s ,' % order.Status[order.status])\n            pass  # Simply log\n\n        # Allow new orders\n        self.orderid = None\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %\n                     (trade.pnl, trade.pnlcomm))\n\n        elif trade.justopened:\n            self.log('TRADE OPENED, SIZE %2d' % trade.size)\n\n\ndef runstrategy():\n    args = parse_args()\n\n    # Create a cerebro\n    cerebro = bt.Cerebro()\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    # Create the 1st data\n    data = btfeeds.BacktraderCSVData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the 1st data to cerebro\n    cerebro.adddata(data)\n\n    # Add the strategy\n    cerebro.addstrategy(LongShortStrategy,\n                        period=args.period,\n                        onlylong=args.onlylong,\n                        csvcross=args.csvcross,\n                        stake=args.stake)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcash(args.cash)\n\n    # Add the commission - only stocks like a for each operation\n    cerebro.broker.setcommission(commission=args.comm,\n                                 mult=args.mult,\n                                 margin=args.margin)\n\n    cerebro.addanalyzer(SQN)\n\n    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=2)\n\n    # And run it\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(description='MultiData Strategy')\n\n    parser.add_argument('--data', '-d',\n                        default='../../datas/2006-day-001.txt',\n                        help='data to add to the system')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--onlylong', '-ol', action='store_true',\n                        help='Do only long operations')\n\n    parser.add_argument('--writercsv', '-wcsv', action='store_true',\n                        help='Tell the writer to produce a csv stream')\n\n    parser.add_argument('--csvcross', action='store_true',\n                        help='Output the CrossOver signals to CSV')\n\n    parser.add_argument('--cash', default=100000, type=int,\n                        help='Starting Cash')\n\n    parser.add_argument('--comm', default=2, type=float,\n                        help='Commission for operation')\n\n    parser.add_argument('--mult', default=10, type=int,\n                        help='Multiplier for futures')\n\n    parser.add_argument('--margin', default=2000.0, type=float,\n                        help='Margin for each future')\n\n    parser.add_argument('--stake', default=1, type=int,\n                        help='Stake to apply in each operation')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrategy()\n"
  },
  {
    "path": "samples/yahoo-test/yahoo-test.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\n\nimport backtrader as bt\nimport backtrader.indicators as btind\nimport backtrader.feeds as btfeeds\nimport backtrader.filters as btfilters\n\n\ndef runstrat():\n    args = parse_args()\n\n    # Create a cerebro entity\n    cerebro = bt.Cerebro(stdstats=False)\n\n    # Add a strategy\n    cerebro.addstrategy(bt.Strategy)\n\n    # Get the dates from the args\n    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n\n    data = btfeeds.YahooFinanceData(\n        dataname=args.data,\n        fromdate=fromdate,\n        todate=todate)\n\n    # Add the resample data instead of the original\n    cerebro.adddata(data)\n\n    # Add a simple moving average if requirested\n    cerebro.addindicator(btind.SMA, period=args.period)\n\n    # Add a writer with CSV\n    if args.writer:\n        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)\n\n    # Run over everything\n    cerebro.run()\n\n    # Plot if requested\n    if args.plot:\n        cerebro.plot(style='bar', numfigs=args.numfigs, volume=False)\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Calendar Days Filter Sample')\n\n    parser.add_argument('--data', '-d',\n                        default='YHOO',\n                        help='Ticker to download from Yahoo')\n\n    parser.add_argument('--fromdate', '-f',\n                        default='2006-01-01',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t',\n                        default='2006-12-31',\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--period', default=15, type=int,\n                        help='Period to apply to the Simple Moving Average')\n\n    parser.add_argument('--writer', '-w', action='store_true',\n                        help='Add a writer to cerebro')\n\n    parser.add_argument('--wrcsv', '-wc', action='store_true',\n                        help='Enable CSV Output in the writer')\n\n    parser.add_argument('--plot', '-p', action='store_true',\n                        help='Plot the read data')\n\n    parser.add_argument('--numfigs', '-n', default=1, type=int,\n                        help='Plot using numfigs figures')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "setup.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nimport os.path\nimport codecs  # To use a consistent encoding\nimport setuptools\n\nhere = os.path.abspath(os.path.dirname(__file__))\n\n# Get the long description from the relevant file\nwith codecs.open(os.path.join(here, 'README.rst'), encoding='utf-8') as f:\n    long_description = f.read()\n\n# Package name\npname = 'backtrader'\n\n# Get the version ... execfile is only on Py2 ... use exec + compile + open\nvname = 'version.py'\nwith open(os.path.join(pname, vname)) as f:\n    exec(compile(f.read(), vname, 'exec'))\n\n# Generate links\ngurl = 'https://github.com/mementum/' + pname\ngdurl = gurl + '/tarball/' + __version__\n\nsetuptools.setup(\n    name=pname,\n\n    # Versions should comply with PEP440.  For a discussion on single-sourcing\n    # the version across setup.py and the project code, see\n    # https://packaging.python.org/en/latest/single_source_version.html\n    version=__version__,\n\n    description='BackTesting Engine',\n    long_description=long_description,\n\n    # The project's main homepage.\n    url=gurl,\n    download_url=gdurl,\n\n    # Author details\n    author='Daniel Rodriguez',\n    author_email='danjrod@gmail.com',\n\n    # Choose your license\n    license='GPLv3+',\n\n    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers\n    classifiers=[\n        # How mature is this project? Common values are\n        #   3 - Alpha\n        #   4 - Beta\n        #   5 - Production/Stable\n        'Development Status :: 5 - Production/Stable',\n\n        # Indicate who your project is intended for\n        'Intended Audience :: Developers',\n        'Intended Audience :: Financial and Insurance Industry',\n\n        # Indicate which Topics are covered by the package\n        'Topic :: Software Development',\n        'Topic :: Office/Business :: Financial',\n\n        # Pick your license as you wish (should match \"license\" above)\n        ('License :: OSI Approved :: ' +\n         'GNU General Public License v3 or later (GPLv3+)'),\n\n        # Specify the Python versions you support here. In particular, ensure\n        # that you indicate whether you support Python 2, Python 3 or both.\n        'Programming Language :: Python :: 3',\n        'Programming Language :: Python :: 3.2',\n        'Programming Language :: Python :: 3.3',\n        'Programming Language :: Python :: 3.4',\n        'Programming Language :: Python :: 3.5',\n        'Programming Language :: Python :: 3.6',\n        'Programming Language :: Python :: 3.7',\n\n        # Operating Systems on which it runs\n        'Operating System :: OS Independent',\n    ],\n\n    # What does your project relate to?\n    keywords=['trading', 'development'],\n\n    # You can just specify the packages manually here if your project is\n    # simple. Or you can use find_packages().\n    packages=setuptools.find_packages(exclude=['docs', 'docs2', 'samples']),\n    # packages=['backtrader', '],\n\n    # List run-time dependencies here.\n    # These will be installed by pip when your\n    # project is installed. For an analysis of \"install_requires\" vs pip's\n    # requirements files see:\n    # https://packaging.python.org/en/latest/requirements.html\n    # install_requires=['six'],\n\n    # List additional groups of dependencies here\n    # (e.g. development dependencies).\n    # You can install these using the following syntax, for example:\n    # $ pip install -e .[dev,test]\n    extras_require={\n        'plotting':  ['matplotlib'],\n    },\n\n    # If there are data files included in your packages that need to be\n    # installed, specify them here.  If using Python 2.6 or less, then these\n    # have to be included in MANIFEST.in as well.\n    # package_data={'sample': ['package_data.dat'],},\n\n    # Although 'package_data' is the preferred approach, in some case you may\n    # need to place data files outside of your packages. See:\n    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files\n    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'\n    # data_files=[('my_data', ['data/data_file'])],\n\n    # To provide executable scripts, use entry points in preference to the\n    # \"scripts\" keyword. Entry points provide cross-platform support and allow\n    # pip to create the appropriate form of executable for the target platform.\n    # entry_points={'console_scripts': ['sample=sample:main',],},\n    entry_points={'console_scripts': ['btrun=backtrader.btrun:btrun']},\n\n    scripts=['tools/bt-run.py'],\n)\n"
  },
  {
    "path": "tests/test_analyzer-sqn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport time\ntry:\n    time_clock = time.process_time\nexcept:\n    time_clock = time.clock\n\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\n\nclass TestStrategy(bt.Strategy):\n    params = (\n        ('period', 15),\n        ('maxtrades', None),\n        ('printdata', True),\n        ('printops', True),\n        ('stocklike', True),\n    )\n\n    def log(self, txt, dt=None, nodate=False):\n        if not nodate:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n        else:\n            print('---------- %s' % (txt))\n\n    def notify_trade(self, trade):\n        if trade.isclosed:\n            self.tradecount += 1\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if isinstance(order, bt.BuyOrder):\n                if self.p.printops:\n                    txt = 'BUY, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n                chkprice = '%.2f' % order.executed.price\n                self.buyexec.append(chkprice)\n            else:  # elif isinstance(order, SellOrder):\n                if self.p.printops:\n                    txt = 'SELL, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n\n                chkprice = '%.2f' % order.executed.price\n                self.sellexec.append(chkprice)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            if self.p.printops:\n                self.log('%s ,' % order.Status[order.status])\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # Flag to allow new orders in the system or not\n        self.orderid = None\n\n        self.sma = btind.SMA(self.data, period=self.p.period)\n        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)\n\n    def start(self):\n        if not self.p.stocklike:\n            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)\n\n        if self.p.printdata:\n            self.log('-------------------------', nodate=True)\n            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),\n                     nodate=True)\n\n        self.tstart = time_clock()\n\n        self.buycreate = list()\n        self.sellcreate = list()\n        self.buyexec = list()\n        self.sellexec = list()\n        self.tradecount = 0\n\n    def stop(self):\n        tused = time_clock() - self.tstart\n        if self.p.printdata:\n            self.log('Time used: %s' % str(tused))\n            self.log('Final portfolio value: %.2f' % self.broker.getvalue())\n            self.log('Final cash value: %.2f' % self.broker.getcash())\n            self.log('-------------------------')\n        else:\n            pass\n\n    def next(self):\n        if self.p.printdata:\n            self.log(\n                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %\n                (self.data.open[0], self.data.high[0],\n                 self.data.low[0], self.data.close[0],\n                 self.sma[0]))\n            self.log('Close %.2f - Sma %.2f' %\n                     (self.data.close[0], self.sma[0]))\n\n        if self.orderid:\n            # if an order is active, no new orders are allowed\n            return\n\n        if not self.position.size:\n            if self.p.maxtrades is None or self.tradecount < self.p.maxtrades:\n                if self.cross > 0.0:\n                    if self.p.printops:\n                        self.log('BUY CREATE , %.2f' % self.data.close[0])\n\n                    self.orderid = self.buy()\n                    chkprice = '%.2f' % self.data.close[0]\n                    self.buycreate.append(chkprice)\n\n        elif self.cross < 0.0:\n            if self.p.printops:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n\n            self.orderid = self.close()\n            chkprice = '%.2f' % self.data.close[0]\n            self.sellcreate.append(chkprice)\n\n\nchkdatas = 1\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n\n    for maxtrades in [None, 0, 1]:\n        cerebros = testcommon.runtest(datas,\n                                      TestStrategy,\n                                      printdata=main,\n                                      stocklike=False,\n                                      maxtrades=maxtrades,\n                                      printops=main,\n                                      plot=main,\n                                      analyzer=(bt.analyzers.SQN, {}))\n\n        for cerebro in cerebros:\n            strat = cerebro.runstrats[0][0]  # no optimization, only 1\n            analyzer = strat.analyzers[0]  # only 1\n            analysis = analyzer.get_analysis()\n            if main:\n                print(analysis)\n                print(str(analysis.sqn))\n            else:\n                if maxtrades == 0 or maxtrades == 1:\n                    assert analysis.sqn == 0\n                    assert analysis.trades == maxtrades\n                else:\n                    # Handle different precision\n                    assert str(analysis.sqn)[0:14] == '0.912550316439'\n                    assert str(analysis.trades) == '11'\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_analyzer-timereturn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport time\ntry:\n    time_clock = time.process_time\nexcept:\n    time_clock = time.clock\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\nfrom backtrader.utils.py3 import PY2\n\n\nclass TestStrategy(bt.Strategy):\n    params = (\n        ('period', 15),\n        ('printdata', True),\n        ('printops', True),\n        ('stocklike', True),\n    )\n\n    def log(self, txt, dt=None, nodate=False):\n        if not nodate:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n        else:\n            print('---------- %s' % (txt))\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if isinstance(order, bt.BuyOrder):\n                if self.p.printops:\n                    txt = 'BUY, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n                chkprice = '%.2f' % order.executed.price\n                self.buyexec.append(chkprice)\n            else:  # elif isinstance(order, SellOrder):\n                if self.p.printops:\n                    txt = 'SELL, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n\n                chkprice = '%.2f' % order.executed.price\n                self.sellexec.append(chkprice)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            if self.p.printops:\n                self.log('%s ,' % order.Status[order.status])\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # Flag to allow new orders in the system or not\n        self.orderid = None\n\n        self.sma = btind.SMA(self.data, period=self.p.period)\n        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)\n\n    def start(self):\n        if not self.p.stocklike:\n            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)\n\n        if self.p.printdata:\n            self.log('-------------------------', nodate=True)\n            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),\n                     nodate=True)\n\n        self.tstart = time_clock()\n\n        self.buycreate = list()\n        self.sellcreate = list()\n        self.buyexec = list()\n        self.sellexec = list()\n\n    def stop(self):\n        tused = time_clock() - self.tstart\n        if self.p.printdata:\n            self.log('Time used: %s' % str(tused))\n            self.log('Final portfolio value: %.2f' % self.broker.getvalue())\n            self.log('Final cash value: %.2f' % self.broker.getcash())\n            self.log('-------------------------')\n        else:\n            pass\n\n    def next(self):\n        if self.p.printdata:\n            self.log(\n                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %\n                (self.data.open[0], self.data.high[0],\n                 self.data.low[0], self.data.close[0],\n                 self.sma[0]))\n            self.log('Close %.2f - Sma %.2f' %\n                     (self.data.close[0], self.sma[0]))\n\n        if self.orderid:\n            # if an order is active, no new orders are allowed\n            return\n\n        if not self.position.size:\n            if self.cross > 0.0:\n                if self.p.printops:\n                    self.log('BUY CREATE , %.2f' % self.data.close[0])\n\n                self.orderid = self.buy()\n                chkprice = '%.2f' % self.data.close[0]\n                self.buycreate.append(chkprice)\n\n        elif self.cross < 0.0:\n            if self.p.printops:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n\n            self.orderid = self.close()\n            chkprice = '%.2f' % self.data.close[0]\n            self.sellcreate.append(chkprice)\n\n\nchkdatas = 1\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    cerebros = testcommon.runtest(datas,\n                                  TestStrategy,\n                                  printdata=main,\n                                  stocklike=False,\n                                  printops=main,\n                                  plot=main,\n                                  analyzer=(bt.analyzers.TimeReturn,\n                                            dict(timeframe=bt.TimeFrame.Years))\n                                  )\n\n    for cerebro in cerebros:\n        strat = cerebro.runstrats[0][0]  # no optimization, only 1\n        analyzer = strat.analyzers[0]  # only 1\n        analysis = analyzer.get_analysis()\n        if main:\n            print(analysis)\n            print(str(analysis[next(iter(analysis.keys()))]))\n        else:\n            # Handle different precision\n            if PY2:\n                sval = '0.2795'\n            else:\n                sval = '0.2794999999999983'\n\n            assert str(analysis[next(iter(analysis.keys()))]) == sval\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_comminfo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nfrom backtrader import CommissionInfo, Position\n\n\ndef check_stocks():\n    commission = 0.5\n    comm = bt.CommissionInfo(commission=commission)\n\n    price = 10.0\n    cash = 10000.0\n    size = 100.0\n\n    opcost = comm.getoperationcost(size=size, price=price)\n    assert opcost == size * price\n\n    pos = Position(size=size, price=price)\n    value = comm.getvalue(pos, price)\n    assert value == size * price\n\n    commcost = comm.getcommission(size, price)\n    assert commcost == size * price * commission\n\n    newprice = 5.0\n    pnl = comm.profitandloss(pos.size, pos.price, newprice)\n    assert pnl == pos.size * (newprice - price)\n\n    ca = comm.cashadjust(size, price, newprice)\n    assert not ca\n\n\ndef check_futures():\n    commission = 0.5\n    margin = 10.0\n    mult = 10.0\n    comm = bt.CommissionInfo(commission=commission, mult=mult, margin=margin)\n\n    price = 10.0\n    cash = 10000.0\n    size = 100.0\n\n    opcost = comm.getoperationcost(size=size, price=price)\n    assert opcost == size * margin\n\n    pos = Position(size=size, price=price)\n    value = comm.getvalue(pos, price)\n    assert value == size * margin\n\n    commcost = comm.getcommission(size, price)\n    assert commcost == size * commission\n\n    newprice = 5.0\n    pnl = comm.profitandloss(pos.size, pos.price, newprice)\n    assert pnl == pos.size * (newprice - price) * mult\n\n    ca = comm.cashadjust(size, price, newprice)\n    assert ca == size * (newprice - price) * mult\n\n\ndef test_run(main=False):\n    check_stocks()\n    check_futures()\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_data_multiframe.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 2\nchkvals = []\n\nchkmin = 151  # because of the weekly data\nchkind = [btind.SMA]\nchkargs = dict()\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_data_replay.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchknext = 113\nchkvals = [\n    ['3836.453333', '3703.962333', '3741.802000']\n]\n\nchkmin = 30  # period will be in weeks\nchkind = [btind.SMA]\nchkargs = dict()\n\n\ndef test_run(main=False, exbar=False):\n    data = testcommon.getdata(0)\n    data.replay(timeframe=bt.TimeFrame.Weeks, compression=1)\n    datas = [data]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chknext=chknext,\n                       chkargs=chkargs,\n                       runonce=False,\n                       preload=False,\n                       exbar=exbar)\n\n\nif __name__ == '__main__':\n    for exbar in [False, -1, -2]:\n        test_run(main=True, exbar=exbar)\n"
  },
  {
    "path": "tests/test_data_resample.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['3836.453333', '3703.962333', '3741.802000']\n]\n\nchkmin = 30  # period will be in weeks\nchkind = [btind.SMA]\nchkargs = dict()\n\n\ndef test_run(main=False):\n    for runonce in [True, False]:\n        data = testcommon.getdata(0)\n        data.resample(timeframe=bt.TimeFrame.Weeks, compression=1)\n\n        datas = [data]\n        testcommon.runtest(datas,\n                           testcommon.TestStrategy,\n                           main=main,\n                           runonce=runonce,\n                           plot=main,\n                           chkind=chkind,\n                           chkmin=chkmin,\n                           chkvals=chkvals,\n                           chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_accdecosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\nchkdatas = 1\nchkvals = [\n    ['-2.097441', '14.156647', '30.408335']\n]\n\nchkmin = 38\nchkind = bt.ind.AccelerationDecelerationOscillator\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_aroonoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['35.714286', '-50.000000', '57.142857']\n]\n\nchkmin = 15\nchkind = btind.AroonOscillator\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_aroonupdown.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['42.857143', '35.714286', '85.714286'],\n    ['7.142857', '85.714286', '28.571429']\n]\n\nchkmin = 15\nchkind = btind.AroonUpDown\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_atr.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['35.866308', '34.264286', '54.329064'],\n]\n\nchkmin = 15\nchkind = btind.ATR\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_awesomeoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\nchkdatas = 1\nchkvals = [\n    ['50.804206', '72.983735', '33.655941']\n]\n\nchkmin = 34\nchkind = bt.ind.AO\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_bbands.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4065.884000', '3621.185000', '3582.895500'],\n    ['4190.782310', '3712.008864', '3709.453081'],\n    ['3940.985690', '3530.361136', '3456.337919'],\n]\n\nchkmin = 20\nchkind = btind.BBands\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_cci.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['69.574287', '91.196363', '82.175663'],\n]\n\nchkmin = 39\nchkind = btind.CCI\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_dema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4115.563246', '3852.837209', '3665.728415']\n]\n\nchkmin = 59\nchkind = btind.DEMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_demaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4115.563246', '3852.837209', '3665.728415'],\n    ['4218.452327', '3949.158140', '3757.371626'],\n    ['4012.674165', '3756.516279', '3574.085205']\n]\n\nchkmin = 59\nchkind = btind.DEMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_demaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4.376754', '7.292791', '9.371585']\n]\n\nchkmin = 59\nchkind = btind.DEMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_dm.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['15.302485', '31.674648', '15.961767'],\n    ['18.839142', '26.946536', '18.161738'],\n    ['28.809535', '30.460124', '31.386311'],\n    ['24.638772', '18.914537', '21.564611'],\n]\n\nchkmin = 42\nchkind = btind.DM\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_dma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4121.903804', '3677.634675', '3579.962958']\n]\n\n\nchkmin = 30\nchkind = btind.DMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_downmove.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['10.720000', '-10.010000', '-14.000000'],\n]\n\nchkmin = 2\nchkind = btind.DownMove\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_dpo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['83.271000', '105.625000', '1.187000'],\n]\n\nchkmin = 29\nchkind = btind.DPO\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_dv2.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['17.460317', '55.952381', '80.555556'],\n]\n\nchkmin = 253\nchkind = btind.DV2\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_ema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4070.115719', '3644.444667', '3581.728712'],\n]\n\nchkmin = 30\nchkind = btind.EMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_emaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4070.115719', '3644.444667', '3581.728712'],\n    ['4171.868612', '3735.555783', '3671.271930'],\n    ['3968.362826', '3553.333550', '3492.185494'],\n]\n\nchkmin = 30\nchkind = btind.EMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_emaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['49.824281', '51.185333', '-24.648712']\n]\n\nchkmin = 30\nchkind = btind.EMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_envelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4063.463000', '3644.444667', '3554.693333'],\n    ['4165.049575', '3735.555783', '3643.560667'],\n    ['3961.876425', '3553.333550', '3465.826000']\n]\n\nchkmin = 30\nchkind = btind.Envelope\n\n\nclass TS2(testcommon.TestStrategy):\n    def __init__(self):\n        ind = btind.MovAv.SMA(self.data)\n        self.p.inddata = [ind]\n        super(TS2, self).__init__()\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       TS2,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_heikinashi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\nchkdatas = 1\nchkvals = [\n    ['4119.466107', '3591.732500', '3578.625259'],\n    ['4142.010000', '3638.420000', '3662.920000'],\n    ['4119.466107', '3591.732500', '3578.625259'],\n    ['4128.002500', '3614.670000', '3653.455000']\n]\n\nchkmin = 2\nchkind = bt.ind.HeikinAshi\n\n\ndef test_run(main=False):\n    if False:\n        datas = [testcommon.getdata(i) for i in range(chkdatas)]\n        testcommon.runtest(datas,\n                           testcommon.TestStrategy,\n                           main=main,\n                           plot=main,\n                           chkind=chkind,\n                           chkmin=chkmin,\n                           chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_highest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4140.660000', '3671.780000', '3670.750000'],\n]\n\nchkmin = 14\nchkind = btind.Highest\nchkargs = dict(period=14)\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_hma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4135.661250', '3736.429214', '3578.389024'],\n]\n\n\nchkmin = 34\nchkind = btind.HMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_ichimoku.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4110.000000', '3821.030000', '3748.785000'],\n    ['4030.920000', '3821.030000', '3676.860000'],\n    ['4057.485000', '3753.502500', '3546.152500'],\n    ['3913.300000', '3677.815000', '3637.130000'],\n    [('nan', '3682.320000'), '3590.910000', '3899.410000']\n]\n\nchkmin = 78\nchkind = bt.ind.Ichimoku\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_kama.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4054.187922', '3648.549000', '3592.979190'],\n]\n\nchkmin = 31\nchkind = btind.KAMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_kamaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4063.463000', '3644.444667', '3554.693333'],\n    ['4165.049575', '3735.555783', '3643.560667'],\n    ['3961.876425', '3553.333550', '3465.826000'],\n]\n\nchkmin = 30\nchkind = btind.SMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_kamaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['65.752078', '78.911000', '39.950810']\n]\n\nchkmin = 31\nchkind = btind.KAMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_kst.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['18.966300', '33.688645', '27.643797'],\n    ['11.123593', '37.882890', '16.602624']\n]\n\nchkmin = 48\nchkind = bt.ind.KST\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_lowest.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4019.890000', '3570.170000', '3506.070000'],\n]\n\nchkmin = 14\nchkind = btind.Lowest\nchkargs = dict(period=14)\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_lrsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.748915', '0.714286', '1.000000'],\n]\n\nchkmin = 6\nchkind = btind.LRSI\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_macdhisto.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['25.821368', '32.469404', '1.772445'],\n    ['21.977853', '26.469735', '-2.845646'],\n    ['3.843516', '5.999669', '4.618090'],\n]\n\nchkmin = 34\nchkind = btind.MACDHisto\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_minperiod.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = []\n\nchkmin = 34  # from MACD\nchkind = [btind.SMA, btind.Stochastic, btind.MACD, btind.Highest]\nchkargs = dict()\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_momentum.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['67.050000', '-34.160000', '67.630000'],\n]\n\nchkmin = 13\nchkind = btind.Momentum\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_momentumoscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['101.654375', '99.052251', '101.904990'],\n]\n\nchkmin = 13\nchkind = btind.MomentumOscillator\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_oscillator.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['56.477000', '51.185333', '2.386667']\n]\n\nchkmin = 30\nchkind = btind.Oscillator\n\n\nclass TS2(testcommon.TestStrategy):\n    def __init__(self):\n        ind = btind.MovAv.SMA(self.data)\n        self.p.inddata = [ind]\n        super(TS2, self).__init__()\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       TS2,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_pctchange.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.002704', '0.034162', '0.043717']\n]\n\nchkmin = 31\nchkind = btind.PctChange\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_pctrank.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.900000', '0.880000', '0.980000'],\n]\n\nchkmin = 50\nchkind = btind.PercentRank\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_pgo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.543029', '-2.347884', '0.416325']\n]\n\nchkmin = 15\nchkind = btind.PGO\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_ppo.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.633439', '0.883552', '0.049430'],\n    ['0.540516', '0.724136', '-0.079820'],\n    ['0.092923', '0.159416', '0.129250']\n]\n\nchkmin = 34\nchkind = btind.PPO\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_pposhort.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.629452', '0.875813', '0.049405'],\n    ['0.537193', '0.718852', '-0.080645'],\n    ['0.092259', '0.156962', '0.130050']\n]\n\nchkmin = 34\nchkind = btind.PPOShort\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_priceosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['25.821368', '23.202675', '-9.927422']\n]\n\nchkmin = 26\nchkind = btind.PriceOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_rmi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\nchkdatas = 1\nchkvals = [\n    ['67.786097', '59.856230', '38.287526']\n]\n\nchkmin = 25\nchkind = bt.ind.RMI\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_roc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.016544', '-0.009477', '0.019050'],\n]\n\nchkmin = 13\nchkind = btind.ROC\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_rsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['57.644284', '41.630968', '53.352553'],\n]\n\nchkmin = 15\nchkind = btind.RSI\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_rsi_safe.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['57.644284', '41.630968', '53.352553'],\n]\n\nchkmin = 15\nchkind = btind.RSI_Safe\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_sma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4063.463000', '3644.444667', '3554.693333'],\n]\n\nchkmin = 30\nchkind = btind.SMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_smaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4063.463000', '3644.444667', '3554.693333'],\n    ['4165.049575', '3735.555783', '3643.560667'],\n    ['3961.876425', '3553.333550', '3465.826000'],\n]\n\nchkmin = 30\nchkind = btind.SMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_smaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['56.477000', '51.185333', '2.386667']\n]\n\nchkmin = 30\nchkind = btind.SMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_smma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4021.569725', '3644.444667', '3616.427648'],\n]\n\nchkmin = 30\nchkind = btind.SMMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_smmaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4021.569725', '3644.444667', '3616.427648'],\n    ['4122.108968', '3735.555783', '3706.838340'],\n    ['3921.030482', '3553.333550', '3526.016957'],\n]\n\nchkmin = 30\nchkind = btind.SMMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_smmaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['98.370275', '51.185333', '-59.347648']\n]\n\nchkmin = 30\nchkind = btind.SMMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_stochastic.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['88.667626', '21.409626', '63.796187'],\n    ['82.845850', '15.710059', '77.642219'],\n]\n\nchkmin = 18\nchkind = btind.Stochastic\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_stochasticfull.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['83.541267', '36.818395', '41.769503'],\n    ['88.667626', '21.409626', '63.796187'],\n    ['82.845850', '15.710059', '77.642219'],\n]\n\nchkmin = 18\nchkind = btind.StochasticFull\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_sumn.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['57406.490000', '50891.010000', '50424.690000'],\n]\n\nchkmin = 14\nchkind = btind.SumN\nchkargs = dict(period=14)\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals,\n                       chkargs=chkargs)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_tema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4113.721705', '3862.386854', '3832.691054']\n]\n\nchkmin = 88\nchkind = btind.TEMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_temaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4113.721705', '3862.386854', '3832.691054'],\n    ['4216.564748', '3958.946525', '3928.508331'],\n    ['4010.878663', '3765.827182', '3736.873778']\n]\n\nchkmin = 88\nchkind = btind.TEMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_temaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['6.218295', '15.143146', '-23.991054']\n]\n\nchkmin = 88\nchkind = btind.TEMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_trix.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['0.071304', '0.181480', '0.050954']\n]\n\nchkmin = 44\nchkind = btind.Trix\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_tsi.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['16.012364', '22.866307', '4.990750']\n]\n\nchkmin = 38\nchkind = bt.ind.TSI\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_ultosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\nchkdatas = 1\nchkvals = [\n    ['51.991177', '62.334055', '46.707445']\n]\n\nchkmin = 29  # 28 from longest SumN/Sum + 1 extra from truelow/truerange\nchkind = bt.indicators.UltimateOscillator\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_upmove.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['-10.720000', '10.010000', '14.000000'],\n]\n\nchkmin = 2\nchkind = btind.UpMove\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_vortex.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['1.245434', '0.921076', '1.062278'],\n    ['0.707948', '0.966375', '0.803849']\n]\n\nchkmin = 15\nchkind = btind.Vortex\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_williamsad.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['755.050000', '12.500000', '242.980000']\n]\n\nchkmin = 2\nchkind = btind.WilliamsAD\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_williamsr.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['-16.458733', '-68.298609', '-28.602854'],\n]\n\nchkmin = 14\nchkind = btind.WilliamsR\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_wma.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4076.212366', '3655.193634', '3576.228000'],\n]\n\nchkmin = 30\nchkind = btind.WMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_wmaenvelope.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4076.212366', '3655.193634', '3576.228000'],\n    ['4178.117675', '3746.573475', '3665.633700'],\n    ['3974.307056', '3563.813794', '3486.822300'],\n]\n\nchkmin = 30\nchkind = btind.WMAEnvelope\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_wmaosc.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['43.727634', '40.436366', '-19.148000']\n]\n\nchkmin = 30\nchkind = btind.WMAOsc\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_zlema.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4125.487746', '3778.694000', '3620.284712']\n]\n\nchkmin = 44\nchkind = btind.ZLEMA\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_ind_zlind.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nchkdatas = 1\nchkvals = [\n    ['4110.282052', '3644.444667', '3564.906194']\n]\n\nchkmin = 30\nchkind = btind.ZeroLagIndicator\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_metaclass.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nimport testcommon\n\nclass TestFrompackages(testcommon.SampleParamsHolder):\n    \"\"\"\n    This class is used for testing that inheriting from base class that\n    uses `frompackages` import mechanism, doesnt brake the functionality\n    of the base class.\n    \"\"\"\n    def __init__(self):\n        super(TestFrompackages, self).__init__()\n        # Prepare the lags array\n\ndef test_run(main=False):\n    \"\"\"\n    Instantiate the TestFrompackages and see that no exception is raised\n    Bug Discussion:\n    https://community.backtrader.com/topic/2661/frompackages-directive-functionality-seems-to-be-broken-when-using-inheritance\n    \"\"\"\n    test = TestFrompackages()\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_order.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader as bt\nfrom backtrader import Order, Position\n\n\nclass FakeCommInfo(object):\n    def getvaluesize(self, size, price):\n        return 0\n\n    def profitandloss(self, size, price, newprice):\n        return 0\n\n    def getoperationcost(self, size, price):\n        return 0.0\n\n    def getcommission(self, size, price):\n        return 0.0\n\n\nclass FakeData(object):\n    '''\n    Minimal interface to avoid errors when trade tries to get information from\n    the data during the test\n    '''\n    def __len__(self):\n        return 0\n\n    @property\n    def datetime(self):\n        return [0.0]\n\n    @property\n    def close(self):\n        return [0.0]\n\n\ndef _execute(position, order, size, price, partial):\n    # Find position and do a real update - accounting happens here\n    pprice_orig = position.price\n    psize, pprice, opened, closed = position.update(size, price)\n\n    comminfo = order.comminfo\n    closedvalue = comminfo.getoperationcost(closed, pprice_orig)\n    closedcomm = comminfo.getcommission(closed, price)\n\n    openedvalue = comminfo.getoperationcost(opened, price)\n    openedcomm = comminfo.getcommission(opened, price)\n\n    pnl = comminfo.profitandloss(-closed, pprice_orig, price)\n    margin = comminfo.getvaluesize(size, price)\n\n    order.execute(order.data.datetime[0],\n                  size, price,\n                  closed, closedvalue, closedcomm,\n                  opened, openedvalue, openedcomm,\n                  margin, pnl,\n                  psize, pprice)  # pnl\n\n    if partial:\n        order.partial()\n    else:\n        order.completed()\n\n\ndef test_run(main=False):\n    position = Position()\n    comminfo = FakeCommInfo()\n    order = bt.BuyOrder(data=FakeData(),\n                        size=100, price=1.0,\n                        exectype=bt.Order.Market,\n                        simulated=True)\n    order.addcomminfo(comminfo)\n\n    ### Test that partially updating order will maintain correct iterpending sequence\n    ### (Orders are cloned for each notification. The pending bits should be reported\n    ###  related to the previous notification (clone))\n\n    # Add two bits and validate we have two pending bits\n    _execute(position, order, 10, 1.0, True)\n    _execute(position, order, 20, 1.1, True)\n\n    clone = order.clone()\n    pending = clone.executed.getpending()\n    assert len(pending) == 2\n    assert pending[0].size == 10\n    assert pending[0].price == 1.0\n    assert pending[1].size == 20\n    assert pending[1].price == 1.1\n\n    # Add additional two bits and validate we still have two pending bits after clone\n    _execute(position, order, 30, 1.2, True)\n    _execute(position, order, 40, 1.3, False)\n\n    clone = order.clone()\n    pending = clone.executed.getpending()\n    assert len(pending) == 2\n    assert pending[0].size == 30\n    assert pending[0].price == 1.2\n    assert pending[1].size == 40\n    assert pending[1].price == 1.3\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_position.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nfrom backtrader import position\n\n\ndef test_run(main=False):\n    size = 10\n    price = 10.0\n\n    pos = position.Position(size=size, price=price)\n    assert pos.size == size\n    assert pos.price == price\n\n    upsize = 5\n    upprice = 12.5\n    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)\n\n    if main:\n        print('pos.size/price', pos.size, pos.price)\n        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)\n\n    assert pos.size == size + upsize\n    assert pos.size == nsize\n    assert pos.price == ((size * price) + (upsize * upprice)) / pos.size\n    assert pos.price == nprice\n    assert opened == upsize\n    assert not closed\n\n    size = pos.size\n    price = pos.price\n    upsize = -7\n    upprice = 14.5\n\n    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)\n\n    if main:\n        print('pos.size/price', pos.size, pos.price)\n        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)\n\n    assert pos.size == size + upsize\n\n    assert pos.size == nsize\n    assert pos.price == price\n    assert pos.price == nprice\n    assert not opened\n    assert closed == upsize  # the closed must have the sign of \"update\" size\n\n    size = pos.size\n    price = pos.price\n    upsize = -15\n    upprice = 17.5\n\n    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)\n\n    if main:\n        print('pos.size/price', pos.size, pos.price)\n        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)\n\n    assert pos.size == size + upsize\n    assert pos.size == nsize\n    assert pos.price == upprice\n    assert pos.price == nprice\n    assert opened == size + upsize\n    assert closed == -size\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_strategy_optimized.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport itertools\nimport time\ntry:\n    time_clock = time.process_time\nexcept:\n    time_clock = time.clock\n\nimport testcommon\n\nfrom backtrader.utils.py3 import range\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nCHKVALUES = [\n    '14525.80', '14525.80', '15408.20', '15408.20', '14763.90',\n    '14763.90', '14763.90', '14763.90', '14763.90', '14763.90',\n    '14763.90', '14763.90', '14763.90', '14763.90', '13187.10',\n    '13187.10', '13187.10', '13684.40', '13684.40', '13684.40',\n    '13684.40', '13684.40', '13684.40', '13656.10', '13656.10',\n    '13656.10', '13656.10', '12988.10', '12988.10', '12988.10',\n    '12988.10', '12988.10', '12988.10', '12988.10', '12988.10',\n    '12988.10', '12988.10', '12988.10', '12988.10', '12988.10'\n]\n\nCHKCASH = [\n    '13525.80', '13525.80', '14408.20', '14408.20', '13763.90',\n    '13763.90', '13763.90', '13763.90', '13763.90', '13763.90',\n    '13763.90', '13763.90', '13763.90', '13763.90', '12187.10',\n    '12187.10', '12187.10', '12684.40', '12684.40', '12684.40',\n    '12684.40', '12684.40', '12684.40', '12656.10', '12656.10',\n    '12656.10', '12656.10', '11988.10', '11988.10', '11988.10',\n    '11988.10', '11988.10', '11988.10', '11988.10', '11988.10',\n    '11988.10', '11988.10', '11988.10', '11988.10', '11988.10'\n]\n\n_chkvalues = []\n_chkcash = []\n\n\nclass TestStrategy(bt.Strategy):\n    params = (\n        ('period', 15),\n        ('printdata', True),\n        ('printops', True),\n    )\n\n    def log(self, txt, dt=None):\n        dt = dt or self.data.datetime[0]\n        dt = bt.num2date(dt)\n        print('%s, %s' % (dt.isoformat(), txt))\n\n    def __init__(self):\n        # Flag to allow new orders in the system or not\n        self.orderid = None\n\n        self.sma = btind.SMA(self.data, period=self.p.period)\n        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)\n\n    def start(self):\n        self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)\n        self.tstart = time_clock()\n        self.buy_create_idx = itertools.count()\n\n    def stop(self):\n        global _chkvalues\n        global _chkcash\n\n        tused = time_clock() - self.tstart\n        if self.p.printdata:\n            self.log(('Time used: %s  - Period % d - '\n                      'Start value: %.2f - End value: %.2f') %\n                     (str(tused), self.p.period,\n                      self.broker.startingcash, self.broker.getvalue()))\n\n        value = '%.2f' % self.broker.getvalue()\n        _chkvalues.append(value)\n\n        cash = '%.2f' % self.broker.getcash()\n        _chkcash.append(cash)\n\n    def next(self):\n        # print('self.data.close.array:', self.data.close.array)\n        if self.orderid:\n            # if an order is active, no new orders are allowed\n            return\n\n        if not self.position.size:\n            if self.cross > 0.0:\n                self.orderid = self.buy()\n\n        elif self.cross < 0.0:\n            self.orderid = self.close()\n\n\nchkdatas = 1\n\n\ndef test_run(main=False):\n    global _chkvalues\n    global _chkcash\n\n    for runonce in [True, False]:\n        for preload in [True, False]:\n            for exbar in [True, False, -1, -2]:\n                _chkvalues = list()\n                _chkcash = list()\n\n                datas = [testcommon.getdata(i) for i in range(chkdatas)]\n                testcommon.runtest(datas,\n                                   TestStrategy,\n                                   runonce=runonce,\n                                   preload=preload,\n                                   exbar=exbar,\n                                   optimize=True,\n                                   period=range(5, 45),\n                                   printdata=main,\n                                   printops=main,\n                                   plot=False)\n\n                if not main:\n                    assert CHKVALUES == _chkvalues\n                    assert CHKCASH == _chkcash\n\n                else:\n                    print('*' * 50)\n                    print(CHKVALUES == _chkvalues)\n                    print('-' * 50)\n                    print(CHKVALUES)\n                    print('-' * 50)\n                    print(_chkvalues)\n                    print('*' * 50)\n                    print(CHKCASH == _chkcash)\n                    print('-' * 50)\n                    print(CHKCASH)\n                    print('-' * 50)\n                    print(_chkcash)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_strategy_unoptimized.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport time\ntry:\n    time_clock = time.process_time\nexcept:\n    time_clock = time.clock\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\nBUYCREATE = [\n    '3641.42', '3798.46', '3874.61', '3860.00', '3843.08', '3648.33',\n    '3526.84', '3632.93', '3788.96', '3841.31', '4045.22', '4052.89',\n]\n\nSELLCREATE = [\n    '3763.73', '3811.45', '3823.11', '3821.97', '3837.86', '3604.33',\n    '3562.56', '3772.21', '3780.18', '3974.62', '4048.16'\n]\n\nBUYEXEC = [\n    '3643.35', '3801.03', '3872.37', '3863.57', '3845.32', '3656.43',\n    '3542.65', '3639.65', '3799.86', '3840.20', '4047.63', '4052.55'\n]\n\nSELLEXEC = [\n    '3763.95', '3811.85', '3822.35', '3822.57', '3829.82', '3598.58',\n    '3545.92', '3766.80', '3782.15', '3979.73', '4045.05'\n]\n\n\nclass TestStrategy(bt.Strategy):\n    params = (\n        ('period', 15),\n        ('printdata', True),\n        ('printops', True),\n        ('stocklike', True),\n    )\n\n    def log(self, txt, dt=None, nodate=False):\n        if not nodate:\n            dt = dt or self.data.datetime[0]\n            dt = bt.num2date(dt)\n            print('%s, %s' % (dt.isoformat(), txt))\n        else:\n            print('---------- %s' % (txt))\n\n    def notify_order(self, order):\n        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n            return  # Await further notifications\n\n        if order.status == order.Completed:\n            if isinstance(order, bt.BuyOrder):\n                if self.p.printops:\n                    txt = 'BUY, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n                chkprice = '%.2f' % order.executed.price\n                self.buyexec.append(chkprice)\n            else:  # elif isinstance(order, SellOrder):\n                if self.p.printops:\n                    txt = 'SELL, %.2f' % order.executed.price\n                    self.log(txt, order.executed.dt)\n\n                chkprice = '%.2f' % order.executed.price\n                self.sellexec.append(chkprice)\n\n        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n            if self.p.printops:\n                self.log('%s ,' % order.Status[order.status])\n\n        # Allow new orders\n        self.orderid = None\n\n    def __init__(self):\n        # Flag to allow new orders in the system or not\n        self.orderid = None\n\n        self.sma = btind.SMA(self.data, period=self.p.period)\n        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)\n\n    def start(self):\n        if not self.p.stocklike:\n            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)\n\n        if self.p.printdata:\n            self.log('-------------------------', nodate=True)\n            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),\n                     nodate=True)\n\n        self.tstart = time_clock()\n\n        self.buycreate = list()\n        self.sellcreate = list()\n        self.buyexec = list()\n        self.sellexec = list()\n\n    def stop(self):\n        tused = time_clock() - self.tstart\n        if self.p.printdata:\n            self.log('Time used: %s' % str(tused))\n            self.log('Final portfolio value: %.2f' % self.broker.getvalue())\n            self.log('Final cash value: %.2f' % self.broker.getcash())\n            self.log('-------------------------')\n\n            print('buycreate')\n            print(self.buycreate)\n            print('sellcreate')\n            print(self.sellcreate)\n            print('buyexec')\n            print(self.buyexec)\n            print('sellexec')\n            print(self.sellexec)\n\n        else:\n            if not self.p.stocklike:\n                assert '%.2f' % self.broker.getvalue() == '12795.00'\n                assert '%.2f' % self.broker.getcash() == '11795.00'\n            else:\n                assert '%.2f' % self.broker.getvalue() == '10284.10'\n                assert '%.2f' % self.broker.getcash() == '6164.16'\n\n            assert self.buycreate == BUYCREATE\n            assert self.sellcreate == SELLCREATE\n            assert self.buyexec == BUYEXEC\n            assert self.sellexec == SELLEXEC\n\n    def next(self):\n        if self.p.printdata:\n            self.log(\n                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %\n                (self.data.open[0], self.data.high[0],\n                 self.data.low[0], self.data.close[0],\n                 self.sma[0]))\n            self.log('Close %.2f - Sma %.2f' %\n                     (self.data.close[0], self.sma[0]))\n\n        if self.orderid:\n            # if an order is active, no new orders are allowed\n            return\n\n        if not self.position.size:\n            if self.cross > 0.0:\n                if self.p.printops:\n                    self.log('BUY CREATE , %.2f' % self.data.close[0])\n\n                self.orderid = self.buy()\n                chkprice = '%.2f' % self.data.close[0]\n                self.buycreate.append(chkprice)\n\n        elif self.cross < 0.0:\n            if self.p.printops:\n                self.log('SELL CREATE , %.2f' % self.data.close[0])\n\n            self.orderid = self.close()\n            chkprice = '%.2f' % self.data.close[0]\n            self.sellcreate.append(chkprice)\n\n\nchkdatas = 1\n\n\ndef test_run(main=False):\n    for stlike in [False, True]:\n        datas = [testcommon.getdata(i) for i in range(chkdatas)]\n        testcommon.runtest(datas,\n                           TestStrategy,\n                           printdata=main,\n                           printops=main,\n                           stocklike=stlike,\n                           plot=main)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_study_fractal.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\n\n\nchkdatas = 1\nchkvals = [\n    ['nan', 'nan', 'nan'],\n    ['nan', 'nan', '3553.692850']\n]\n\nchkmin = 5\nchkind = bt.studies.Fractal\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    testcommon.runtest(datas,\n                       testcommon.TestStrategy,\n                       main=main,\n                       plot=main,\n                       chkind=chkind,\n                       chkmin=chkmin,\n                       chkvals=chkvals)\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_trade.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport testcommon\n\nimport backtrader as bt\nfrom backtrader import trade\n\n\nclass FakeCommInfo(object):\n    def getvaluesize(self, size, price):\n        return 0\n\n    def profitandloss(self, size, price, newprice):\n        return 0\n\n\nclass FakeData(object):\n    '''\n    Minimal interface to avoid errors when trade tries to get information from\n    the data during the test\n    '''\n    def __len__(self):\n        return 0\n\n    @property\n    def datetime(self):\n        return [0.0]\n\n    @property\n    def close(self):\n        return [0.0]\n\n\ndef test_run(main=False):\n    tr = trade.Trade(data=FakeData())\n\n    order = bt.BuyOrder(data=FakeData(),\n                        size=0, price=1.0,\n                        exectype=bt.Order.Market,\n                        simulated=True)\n\n    commrate = 0.025\n    size = 10\n    price = 10.0\n    value = size * price\n    commission = value * commrate\n\n    tr.update(order=order, size=size, price=price, value=value,\n              commission=commission, pnl=0.0, comminfo=FakeCommInfo())\n\n    assert not tr.isclosed\n    assert tr.size == size\n    assert tr.price == price\n    # assert tr.value == value\n    assert tr.commission == commission\n    assert not tr.pnl\n    assert tr.pnlcomm == tr.pnl - tr.commission\n\n    upsize = -5\n    upprice = 12.5\n    upvalue = upsize * upprice\n    upcomm = abs(value) * commrate\n\n    tr.update(order=order, size=upsize, price=upprice, value=upvalue,\n              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())\n\n    assert not tr.isclosed\n    assert tr.size == size + upsize\n    assert tr.price == price  # size is being reduced, price must not change\n    # assert tr.value == upvalue\n    assert tr.commission == commission + upcomm\n\n    size = tr.size\n    price = tr.price\n    commission = tr.commission\n\n    upsize = 7\n    upprice = 14.5\n    upvalue = upsize * upprice\n    upcomm = abs(value) * commrate\n\n    tr.update(order=order, size=upsize, price=upprice, value=upvalue,\n              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())\n\n    assert not tr.isclosed\n    assert tr.size == size + upsize\n    assert tr.price == ((size * price) + (upsize * upprice)) / (size + upsize)\n    # assert tr.value == upvalue\n    assert tr.commission == commission + upcomm\n\n    size = tr.size\n    price = tr.price\n    commission = tr.commission\n\n    upsize = -size\n    upprice = 12.5\n    upvalue = upsize * upprice\n    upcomm = abs(value) * commrate\n\n    tr.update(order=order, size=upsize, price=upprice, value=upvalue,\n              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())\n\n    assert tr.isclosed\n    assert tr.size == size + upsize\n    assert tr.price == price  # no change ... we simple closed the operation\n    # assert tr.value == upvalue\n    assert tr.commission == commission + upcomm\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/test_writer.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport time\n\nimport testcommon\n\nimport backtrader as bt\nimport backtrader.indicators as btind\n\n\nchkdatas = 1\n\n\nclass TestStrategy(bt.Strategy):\n    params = dict(main=False)\n\n    def __init__(self):\n        btind.SMA()\n\n\ndef test_run(main=False):\n    datas = [testcommon.getdata(i) for i in range(chkdatas)]\n    cerebros = testcommon.runtest(datas,\n                                  TestStrategy,\n                                  main=main,\n                                  plot=main,\n                                  writer=(bt.WriterStringIO, dict(csv=True)))\n\n    for cerebro in cerebros:\n        writer = cerebro.runwriters[0]\n        if main:\n            # writer.out.seek(0)\n            for l in writer.out:\n                print(l.rstrip('\\r\\n'))\n\n        else:\n            lines = iter(writer.out)\n            l = next(lines).rstrip('\\r\\n')\n            assert l == '=' * 79\n\n            count = 0\n            while True:\n                l = next(lines).rstrip('\\r\\n')\n                if l[0] == '=':\n                    break\n                count += 1\n\n            assert count == 256  # header + 256 lines data\n\n\nif __name__ == '__main__':\n    test_run(main=True)\n"
  },
  {
    "path": "tests/testcommon.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport datetime\nimport os\nimport os.path\nimport sys\n\n# append module root directory to sys.path\nsys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))\n\nimport backtrader as bt\nimport backtrader.utils.flushfile\nfrom backtrader.metabase import ParamsBase\n\n\nmodpath = os.path.dirname(os.path.abspath(__file__))\ndataspath = '../datas'\ndatafiles = [\n    '2006-day-001.txt',\n    '2006-week-001.txt',\n]\n\nDATAFEED = bt.feeds.BacktraderCSVData\n\nFROMDATE = datetime.datetime(2006, 1, 1)\nTODATE = datetime.datetime(2006, 12, 31)\n\n\ndef getdata(index, fromdate=FROMDATE, todate=TODATE):\n\n    datapath = os.path.join(modpath, dataspath, datafiles[index])\n    data = DATAFEED(\n        dataname=datapath,\n        fromdate=fromdate,\n        todate=todate)\n\n    return data\n\n\ndef runtest(datas,\n            strategy,\n            runonce=None,\n            preload=None,\n            exbar=None,\n            plot=False,\n            optimize=False,\n            maxcpus=1,\n            writer=None,\n            analyzer=None,\n            **kwargs):\n\n    runonces = [True, False] if runonce is None else [runonce]\n    preloads = [True, False] if preload is None else [preload]\n    exbars = [-2, -1, False] if exbar is None else [exbar]\n\n    cerebros = list()\n    for prload in preloads:\n        for ronce in runonces:\n            for exbar in exbars:\n                cerebro = bt.Cerebro(runonce=ronce,\n                                     preload=prload,\n                                     maxcpus=maxcpus,\n                                     exactbars=exbar)\n\n                if kwargs.get('main', False):\n                    print('prload {} / ronce {} exbar {}'.format(\n                        prload, ronce, exbar))\n\n                if isinstance(datas, bt.LineSeries):\n                    datas = [datas]\n                for data in datas:\n                    cerebro.adddata(data)\n\n                if not optimize:\n                    cerebro.addstrategy(strategy, **kwargs)\n\n                    if writer:\n                        wr = writer[0]\n                        wrkwargs = writer[1]\n                        cerebro.addwriter(wr, **wrkwargs)\n\n                    if analyzer:\n                        al = analyzer[0]\n                        alkwargs = analyzer[1]\n                        cerebro.addanalyzer(al, **alkwargs)\n\n                else:\n                    cerebro.optstrategy(strategy, **kwargs)\n\n                cerebro.run()\n                if plot:\n                    cerebro.plot()\n\n                cerebros.append(cerebro)\n\n    return cerebros\n\n\nclass TestStrategy(bt.Strategy):\n    params = dict(main=False,\n                  chkind=[],\n                  inddata=[],\n                  chkmin=1,\n                  chknext=0,\n                  chkvals=None,\n                  chkargs=dict())\n\n    def __init__(self):\n        try:\n            ind = self.p.chkind[0]\n        except TypeError:\n            chkind = [self.p.chkind]\n        else:\n            chkind = self.p.chkind\n\n        if len(self.p.inddata):\n            self.ind = chkind[0](*self.p.inddata, **self.p.chkargs)\n        else:\n            self.ind = chkind[0](self.data, **self.p.chkargs)\n\n        for ind in chkind[1:]:\n            ind(self.data)\n\n        for data in self.datas[1:]:\n            chkind[0](data, **self.p.chkargs)\n\n            for ind in chkind[1:]:\n                ind(data)\n\n    def prenext(self):\n        pass\n\n    def nextstart(self):\n        self.chkmin = len(self)\n        super(TestStrategy, self).nextstart()\n\n    def next(self):\n        self.nextcalls += 1\n\n        if self.p.main:\n            dtstr = self.data.datetime.date(0).strftime('%Y-%m-%d')\n            print('%s - %d - %f' % (dtstr, len(self), self.ind[0]))\n            pstr = ', '.join(str(x) for x in\n                             [self.data.open[0], self.data.high[0],\n                              self.data.low[0], self.data.close[0]])\n            print('%s - %d, %s' % (dtstr, len(self), pstr))\n\n    def start(self):\n        self.nextcalls = 0\n\n    def stop(self):\n        l = len(self.ind)\n        mp = self.chkmin\n        chkpts = [0, -l + mp, (-l + mp) // 2]\n\n        if self.p.main:\n            print('----------------------------------------')\n            print('len ind %d == %d len self' % (l, len(self)))\n            print('minperiod %d' % self.chkmin)\n            print('self.p.chknext %d nextcalls %d'\n                  % (self.p.chknext, self.nextcalls))\n\n            print('chkpts are', chkpts)\n            for chkpt in chkpts:\n                dtstr = self.data.datetime.date(chkpt).strftime('%Y-%m-%d')\n                print('chkpt %d -> %s' % (chkpt, dtstr))\n\n            for lidx in range(self.ind.size()):\n                chkvals = list()\n                outtxt = '    ['\n                for chkpt in chkpts:\n                    valtxt = \"'%f'\" % self.ind.lines[lidx][chkpt]\n                    outtxt += \"'%s',\" % valtxt\n                    chkvals.append(valtxt)\n\n                    outtxt = '    [' + ', '.join(chkvals) + '],'\n\n                if lidx == self.ind.size() - 1:\n                    outtxt = outtxt.rstrip(',')\n\n                print(outtxt)\n\n            print('vs expected')\n\n            for chkval in self.p.chkvals:\n                print(chkval)\n\n        else:\n            assert l == len(self)\n            if self.p.chknext:\n                assert self.p.chknext == self.nextcalls\n            assert mp == self.p.chkmin\n            for lidx, linevals in enumerate(self.p.chkvals):\n                for i, chkpt in enumerate(chkpts):\n                    chkval = '%f' % self.ind.lines[lidx][chkpt]\n                    if not isinstance(linevals[i], tuple):\n                        assert chkval == linevals[i]\n                    else:\n                        try:\n                            assert chkval == linevals[i][0]\n                        except AssertionError:\n                            assert chkval == linevals[i][1]\n\n\nclass SampleParamsHolder(ParamsBase):\n    \"\"\"\n    This class is used as base for tests that check the proper\n    handling of meta parameters like `frompackages`, `packages`, `params`, `lines`\n    in inherited classes\n    \"\"\"\n    frompackages = (\n        ('math', ('factorial')),\n    )\n\n    def __init__(self):\n        self.range = factorial(10)\n"
  },
  {
    "path": "tools/bt-run.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport backtrader.btrun as btrun\n\n\nif __name__ == '__main__':\n    btrun.btrun()\n"
  },
  {
    "path": "tools/rewrite-data.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\nimport argparse\nimport datetime\nimport os.path\nimport time\nimport sys\n\n\nimport backtrader as bt\nfrom backtrader.utils.py3 import bytes\n\n\nDATAFORMATS = dict(\n    btcsv=bt.feeds.BacktraderCSVData,\n    vchartcsv=bt.feeds.VChartCSVData,\n    vchart=bt.feeds.VChartData,\n    vcdata=bt.feeds.VCData,\n    vcfile=bt.feeds.VChartFile,\n    ibdata=bt.feeds.IBData,\n    sierracsv=bt.feeds.SierraChartCSVData,\n    mt4csv=bt.feeds.MT4CSVData,\n    yahoocsv=bt.feeds.YahooFinanceCSVData,\n    yahoocsv_unreversed=bt.feeds.YahooFinanceCSVData,\n    yahoo=bt.feeds.YahooFinanceData,\n)\n\n\nclass RewriteStrategy(bt.Strategy):\n    params = (\n        ('separator', ','),\n        ('outfile', None),\n    )\n\n    def start(self):\n        if self.p.outfile is None:\n            self.f = sys.stdout\n        else:\n            self.f = open(self.p.outfile, 'wb')\n\n        if self.data._timeframe < bt.TimeFrame.Days:\n            headers = 'Date,Time,Open,High,Low,Close,Volume,OpenInterest'\n        else:\n            headers = 'Date,Open,High,Low,Close,Volume,OpenInterest'\n\n        headers += '\\n'\n        self.f.write(bytes(headers))\n\n    def next(self):\n        fields = list()\n        dt = self.data.datetime.date(0).strftime('%Y-%m-%d')\n        fields.append(dt)\n        if self.data._timeframe < bt.TimeFrame.Days:\n            tm = self.data.datetime.time(0).strftime('%H:%M:%S')\n            fields.append(tm)\n\n        o = '%.2f' % self.data.open[0]\n        fields.append(o)\n        h = '%.2f' % self.data.high[0]\n        fields.append(h)\n        l = '%.2f' % self.data.low[0]\n        fields.append(l)\n        c = '%.2f' % self.data.close[0]\n        fields.append(c)\n        v = '%d' % self.data.volume[0]\n        fields.append(v)\n        oi = '%d' % self.data.openinterest[0]\n        fields.append(oi)\n\n        txt = self.p.separator.join(fields)\n        txt += '\\n'\n        self.f.write(bytes(txt))\n\n\ndef runstrat(pargs=None):\n    args = parse_args(pargs)\n\n    cerebro = bt.Cerebro()\n\n    dfkwargs = dict()\n    if args.format == 'yahoo_unreversed':\n        dfkwargs['reverse'] = True\n\n    fmtstr = '%Y-%m-%d'\n    if args.fromdate:\n        dtsplit = args.fromdate.split('T')\n        if len(dtsplit) > 1:\n            fmtstr += 'T%H:%M:%S'\n\n        fromdate = datetime.datetime.strptime(args.fromdate, fmtstr)\n        dfkwargs['fromdate'] = fromdate\n\n    fmtstr = '%Y-%m-%d'\n    if args.todate:\n        dtsplit = args.todate.split('T')\n        if len(dtsplit) > 1:\n            fmtstr += 'T%H:%M:%S'\n        todate = datetime.datetime.strptime(args.todate, fmtstr)\n        dfkwargs['todate'] = todate\n\n    dfcls = DATAFORMATS[args.format]\n    data = dfcls(dataname=args.infile, **dfkwargs)\n    cerebro.adddata(data)\n\n    cerebro.addstrategy(RewriteStrategy,\n                        separator=args.separator,\n                        outfile=args.outfile)\n\n    cerebro.run(stdstats=False)\n\n    if args.plot:\n        pkwargs = dict(style='bar')\n        if args.plot is not True:  # evals to True but is not True\n            npkwargs = eval('dict(' + args.plot + ')')  # args were passed\n            pkwargs.update(npkwargs)\n\n        cerebro.plot(**pkwargs)\n\n\ndef parse_args(pargs=None):\n    parser = argparse.ArgumentParser(\n        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n        description='Rewrite formats to BacktraderCSVData format')\n\n    parser.add_argument('--format', '-fmt', required=False,\n                        choices=DATAFORMATS.keys(),\n                        default=next(iter(DATAFORMATS)),\n                        help='File to be read in')\n\n    parser.add_argument('--infile', '-i', required=True,\n                        help='File to be read in')\n\n    parser.add_argument('--outfile', '-o', default=None, required=False,\n                        help='File to write to')\n\n    parser.add_argument('--fromdate', '-f', required=False,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', '-t', required=False,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--separator', '-s', required=False, default=',',\n                        help='Plot the read data')\n\n    # Plot options\n    parser.add_argument('--plot', '-p', nargs='?', required=False,\n                        metavar='kwargs', const=True,\n                        help=('Plot the read data applying any kwargs passed\\n'\n                              '\\n'\n                              'For example:\\n'\n                              '\\n'\n                              '  --plot style=\"candle\" (to plot candles)\\n'))\n\n    if pargs is not None:\n        return parser.parse_args(pargs)\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n    runstrat()\n"
  },
  {
    "path": "tools/yahoodownload.py",
    "content": "#!/usr/bin/env python\n# -*- coding: utf-8; py-indent-offset:4 -*-\n###############################################################################\n#\n# Copyright (C) 2015-2023 Daniel Rodriguez\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n###############################################################################\nfrom __future__ import (absolute_import, division, print_function,\n                        unicode_literals)\n\n\nimport argparse\nimport collections\nimport datetime\nimport io\nimport logging\nimport sys\n\n\nPY2 = sys.version_info.major == 2\nif PY2:\n    from urllib2 import urlopen\n    from urllib import quote as urlquote\nelse:\n    from urllib.request import urlopen\n    from urllib.parse import quote as urlquote\n\n\nlogging.basicConfig(\n    format='%(levelname)s: %(message)s',\n    level=logging.INFO)\n\n\nclass YahooDownload(object):\n    urlhist = 'https://finance.yahoo.com/quote/{}/history'\n    urldown = 'https://query1.finance.yahoo.com/v7/finance/download'\n    retries = 3\n\n    def __init__(self, ticker, fromdate, todate, period='d', reverse=False):\n        try:\n            import requests\n        except ImportError:\n            msg = ('The new Yahoo data feed requires to have the requests '\n                   'module installed. Please use pip install requests or '\n                   'the method of your choice')\n            raise Exception(msg)\n\n        url = self.urlhist.format(ticker)\n\n        sesskwargs = dict()\n        if False and self.p.proxies:\n            sesskwargs['proxies'] = self.p.proxies\n\n        crumb = None\n        sess = requests.Session()\n        for i in range(self.retries + 1):  # at least once\n            resp = sess.get(url, **sesskwargs)\n            if resp.status_code != requests.codes.ok:\n                continue\n\n            txt = resp.text\n            i = txt.find('CrumbStore')\n            if i == -1:\n                continue\n            i = txt.find('crumb', i)\n            if i == -1:\n                continue\n            istart = txt.find('\"', i + len('crumb') + 1)\n            if istart == -1:\n                continue\n            istart += 1\n            iend = txt.find('\"', istart)\n            if iend == -1:\n                continue\n\n            crumb = txt[istart:iend]\n            crumb = crumb.encode('ascii').decode('unicode-escape')\n            break\n\n        if crumb is None:\n            self.error = 'Crumb not found'\n            self.f = None\n            return\n\n        # urldown/ticker?period1=posix1&period2=posix2&interval=1d&events=history&crumb=crumb\n\n        # Try to download\n        urld = '{}/{}'.format(self.urldown, ticker)\n\n        urlargs = []\n        posix = datetime.date(1970, 1, 1)\n        if todate is not None:\n            period2 = (todate.date() - posix).total_seconds()\n            urlargs.append('period2={}'.format(int(period2)))\n\n        if todate is not None:\n            period1 = (fromdate.date() - posix).total_seconds()\n            urlargs.append('period1={}'.format(int(period1)))\n\n        intervals = {\n            'd': '1d',\n            'w': '1wk',\n            'm': '1mo',\n        }\n\n        urlargs.append('interval={}'.format(intervals[period]))\n        urlargs.append('events=history')\n        urlargs.append('crumb={}'.format(crumb))\n\n        urld = '{}?{}'.format(urld, '&'.join(urlargs))\n        f = None\n        for i in range(self.retries + 1):  # at least once\n            resp = sess.get(urld, **sesskwargs)\n            if resp.status_code != requests.codes.ok:\n                continue\n\n            ctype = resp.headers['Content-Type']\n            if 'text/csv' not in ctype:\n                self.error = 'Wrong content type: %s' % ctype\n                continue  # HTML returned? wrong url?\n\n            # buffer everything from the socket into a local buffer\n            try:\n                # r.encoding = 'UTF-8'\n                f = io.StringIO(resp.text, newline=None)\n            except Exception:\n                continue  # try again if possible\n\n            break\n\n        self.datafile = f\n\n    def writetofile(self, filename):\n        if not self.datafile:\n            return\n\n        if not hasattr(filename, 'read'):\n            # It's not a file - open it\n            f = io.open(filename, 'w')\n        else:\n            f = filename\n\n        self.datafile.seek(0)\n        for line in self.datafile:\n            f.write(line)\n\n        f.close()\n\n\ndef parse_args():\n    parser = argparse.ArgumentParser(\n        description='Download Yahoo CSV Finance Data')\n\n    parser.add_argument('--ticker', required=True,\n                        help='Ticker to be downloaded')\n\n    parser.add_argument('--reverse', action='store_true', default=False,\n                        help='Do reverse the downloaded files')\n\n    parser.add_argument('--timeframe', default='d',\n                        help='Timeframe: d -> day, w -> week, m -> month')\n\n    parser.add_argument('--fromdate', required=True,\n                        help='Starting date in YYYY-MM-DD format')\n\n    parser.add_argument('--todate', required=True,\n                        help='Ending date in YYYY-MM-DD format')\n\n    parser.add_argument('--outfile', required=True,\n                        help='Output file name')\n\n    return parser.parse_args()\n\n\nif __name__ == '__main__':\n\n    args = parse_args()\n\n    logging.info('Processing input parameters')\n    logging.info('Processing fromdate')\n    try:\n        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n    except Exception as e:\n        logging.error('Converting fromdate failed')\n        logging.error(str(e))\n        sys.exit(1)\n\n    logging.info('Processing todate')\n    try:\n        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n    except Exception as e:\n        logging.error('Converting todate failed')\n        logging.error(str(e))\n        sys.exit(1)\n\n    logging.info('Do Not Reverse flag status')\n    reverse = args.reverse\n\n    logging.info('Downloading from yahoo')\n    try:\n        yahoodown = YahooDownload(\n            ticker=args.ticker,\n            fromdate=fromdate,\n            todate=todate,\n            period=args.timeframe,\n            reverse=reverse)\n\n    except Exception as e:\n        logging.error('Downloading data from Yahoo failed')\n        logging.error(str(e))\n        sys.exit(1)\n\n    logging.info('Opening output file')\n    try:\n        ofile = io.open(args.outfile, 'w')\n    except IOError as e:\n        logging.error('Error opening output file')\n        logging.error(str(e))\n        sys.exit(1)\n\n    logging.info('Writing downloaded data to output file')\n    try:\n        yahoodown.writetofile(ofile)\n    except Exception as e:\n        logging.error('Writing to output file failed')\n        logging.error(str(e))\n        sys.exit(1)\n\n    logging.info('All operations completed successfully')\n    sys.exit(0)\n"
  }
]