Repository: mementum/backtrader
Branch: master
Commit: b853d7c90b67
Files: 378
Total size: 6.7 MB

Directory structure:
gitextract_g33g5s6j/

├── .github/
│   └── FUNDING.yml
├── .gitignore
├── .travis.yml
├── LICENSE
├── README.rst
├── backtrader/
│   ├── __init__.py
│   ├── analyzer.py
│   ├── analyzers/
│   │   ├── __init__.py
│   │   ├── annualreturn.py
│   │   ├── calmar.py
│   │   ├── drawdown.py
│   │   ├── leverage.py
│   │   ├── logreturnsrolling.py
│   │   ├── periodstats.py
│   │   ├── positions.py
│   │   ├── pyfolio.py
│   │   ├── returns.py
│   │   ├── sharpe.py
│   │   ├── sqn.py
│   │   ├── timereturn.py
│   │   ├── tradeanalyzer.py
│   │   ├── transactions.py
│   │   └── vwr.py
│   ├── broker.py
│   ├── brokers/
│   │   ├── __init__.py
│   │   ├── bbroker.py
│   │   ├── ibbroker.py
│   │   ├── oandabroker.py
│   │   └── vcbroker.py
│   ├── btrun/
│   │   ├── __init__.py
│   │   └── btrun.py
│   ├── cerebro.py
│   ├── comminfo.py
│   ├── commissions/
│   │   └── __init__.py
│   ├── dataseries.py
│   ├── errors.py
│   ├── feed.py
│   ├── feeds/
│   │   ├── __init__.py
│   │   ├── blaze.py
│   │   ├── btcsv.py
│   │   ├── chainer.py
│   │   ├── csvgeneric.py
│   │   ├── ibdata.py
│   │   ├── influxfeed.py
│   │   ├── mt4csv.py
│   │   ├── oanda.py
│   │   ├── pandafeed.py
│   │   ├── quandl.py
│   │   ├── rollover.py
│   │   ├── sierrachart.py
│   │   ├── vcdata.py
│   │   ├── vchart.py
│   │   ├── vchartcsv.py
│   │   ├── vchartfile.py
│   │   └── yahoo.py
│   ├── fillers.py
│   ├── filters/
│   │   ├── __init__.py
│   │   ├── bsplitter.py
│   │   ├── calendardays.py
│   │   ├── datafiller.py
│   │   ├── datafilter.py
│   │   ├── daysteps.py
│   │   ├── heikinashi.py
│   │   ├── renko.py
│   │   └── session.py
│   ├── flt.py
│   ├── functions.py
│   ├── indicator.py
│   ├── indicators/
│   │   ├── __init__.py
│   │   ├── accdecoscillator.py
│   │   ├── aroon.py
│   │   ├── atr.py
│   │   ├── awesomeoscillator.py
│   │   ├── basicops.py
│   │   ├── bollinger.py
│   │   ├── cci.py
│   │   ├── contrib/
│   │   │   ├── __init__.py
│   │   │   └── vortex.py
│   │   ├── crossover.py
│   │   ├── dema.py
│   │   ├── deviation.py
│   │   ├── directionalmove.py
│   │   ├── dma.py
│   │   ├── dpo.py
│   │   ├── dv2.py
│   │   ├── ema.py
│   │   ├── envelope.py
│   │   ├── hadelta.py
│   │   ├── heikinashi.py
│   │   ├── hma.py
│   │   ├── hurst.py
│   │   ├── ichimoku.py
│   │   ├── kama.py
│   │   ├── kst.py
│   │   ├── lrsi.py
│   │   ├── mabase.py
│   │   ├── macd.py
│   │   ├── momentum.py
│   │   ├── ols.py
│   │   ├── oscillator.py
│   │   ├── percentchange.py
│   │   ├── percentrank.py
│   │   ├── pivotpoint.py
│   │   ├── prettygoodoscillator.py
│   │   ├── priceoscillator.py
│   │   ├── psar.py
│   │   ├── rmi.py
│   │   ├── rsi.py
│   │   ├── sma.py
│   │   ├── smma.py
│   │   ├── stochastic.py
│   │   ├── trix.py
│   │   ├── tsi.py
│   │   ├── ultimateoscillator.py
│   │   ├── vortex.py
│   │   ├── williams.py
│   │   ├── wma.py
│   │   ├── zlema.py
│   │   └── zlind.py
│   ├── linebuffer.py
│   ├── lineiterator.py
│   ├── lineroot.py
│   ├── lineseries.py
│   ├── mathsupport.py
│   ├── metabase.py
│   ├── observer.py
│   ├── observers/
│   │   ├── __init__.py
│   │   ├── benchmark.py
│   │   ├── broker.py
│   │   ├── buysell.py
│   │   ├── drawdown.py
│   │   ├── logreturns.py
│   │   ├── timereturn.py
│   │   └── trades.py
│   ├── order.py
│   ├── plot/
│   │   ├── __init__.py
│   │   ├── finance.py
│   │   ├── formatters.py
│   │   ├── locator.py
│   │   ├── multicursor.py
│   │   ├── plot.py
│   │   ├── scheme.py
│   │   └── utils.py
│   ├── position.py
│   ├── resamplerfilter.py
│   ├── signal.py
│   ├── signals/
│   │   └── __init__.py
│   ├── sizer.py
│   ├── sizers/
│   │   ├── __init__.py
│   │   ├── fixedsize.py
│   │   └── percents_sizer.py
│   ├── store.py
│   ├── stores/
│   │   ├── __init__.py
│   │   ├── ibstore.py
│   │   ├── oandastore.py
│   │   ├── vchartfile.py
│   │   └── vcstore.py
│   ├── strategies/
│   │   ├── __init__.py
│   │   └── sma_crossover.py
│   ├── strategy.py
│   ├── studies/
│   │   ├── __init__.py
│   │   └── contrib/
│   │       ├── __init__.py
│   │       └── fractal.py
│   ├── talib.py
│   ├── timer.py
│   ├── trade.py
│   ├── tradingcal.py
│   ├── utils/
│   │   ├── __init__.py
│   │   ├── autodict.py
│   │   ├── date.py
│   │   ├── dateintern.py
│   │   ├── flushfile.py
│   │   ├── ordereddefaultdict.py
│   │   └── py3.py
│   ├── version.py
│   └── writer.py
├── changelog.txt
├── contrib/
│   ├── datas/
│   │   ├── daily-KO.csv
│   │   └── daily-PEP.csv
│   ├── samples/
│   │   └── pair-trading/
│   │       └── pair-trading.py
│   └── utils/
│       ├── influxdb-import.py
│       └── iqfeed-to-influxdb.py
├── datas/
│   ├── 2005-2006-day-001.txt
│   ├── 2006-01-02-volume-min-001.txt
│   ├── 2006-day-001-optix.txt
│   ├── 2006-day-001.txt
│   ├── 2006-day-002.txt
│   ├── 2006-min-005.txt
│   ├── 2006-month-001.txt
│   ├── 2006-volume-day-001.txt
│   ├── 2006-week-001.txt
│   ├── 2006-week-002.txt
│   ├── bidask.csv
│   ├── bidask2.csv
│   ├── nvda-1999-2014.txt
│   ├── nvda-2014.txt
│   ├── orcl-1995-2014.txt
│   ├── orcl-2003-2005.txt
│   ├── orcl-2014.txt
│   ├── ticksample.csv
│   ├── yhoo-1996-2014.txt
│   ├── yhoo-1996-2015.txt
│   ├── yhoo-2003-2005.txt
│   └── yhoo-2014.txt
├── pypi.sh
├── samples/
│   ├── analyzer-annualreturn/
│   │   └── analyzer-annualreturn.py
│   ├── bidask-to-ohlc/
│   │   └── bidask-to-ohlc.py
│   ├── bracket/
│   │   └── bracket.py
│   ├── btfd/
│   │   └── btfd.py
│   ├── calendar-days/
│   │   └── calendar-days.py
│   ├── calmar/
│   │   └── calmar-test.py
│   ├── cheat-on-open/
│   │   └── cheat-on-open.py
│   ├── commission-schemes/
│   │   └── commission-schemes.py
│   ├── credit-interest/
│   │   └── credit-interest.py
│   ├── data-bid-ask/
│   │   └── bidask.py
│   ├── data-filler/
│   │   ├── data-filler.py
│   │   └── relativevolume.py
│   ├── data-multitimeframe/
│   │   └── data-multitimeframe.py
│   ├── data-pandas/
│   │   ├── data-pandas-optix.py
│   │   └── data-pandas.py
│   ├── data-replay/
│   │   └── data-replay.py
│   ├── data-resample/
│   │   └── data-resample.py
│   ├── daysteps/
│   │   └── daysteps.py
│   ├── future-spot/
│   │   └── future-spot.py
│   ├── gold-vs-sp500/
│   │   └── gold-vs-sp500.py
│   ├── ib-cash-bid-ask/
│   │   └── ib-cash-bid-ask.py
│   ├── ibtest/
│   │   └── ibtest.py
│   ├── kselrsi/
│   │   └── ksignal.py
│   ├── lineplotter/
│   │   └── lineplotter.py
│   ├── lrsi/
│   │   └── lrsi-test.py
│   ├── macd-settings/
│   │   └── macd-settings.py
│   ├── memory-savings/
│   │   └── memory-savings.py
│   ├── mixing-timeframes/
│   │   └── mixing-timeframes.py
│   ├── multi-copy/
│   │   └── multi-copy.py
│   ├── multi-example/
│   │   └── mult-values.py
│   ├── multidata-strategy/
│   │   ├── multidata-strategy-unaligned.py
│   │   └── multidata-strategy.py
│   ├── multitrades/
│   │   ├── mtradeobserver.py
│   │   └── multitrades.py
│   ├── oandatest/
│   │   └── oandatest.py
│   ├── observer-benchmark/
│   │   └── observer-benchmark.py
│   ├── observers/
│   │   ├── observers-default-drawdown.py
│   │   ├── observers-default.py
│   │   ├── observers-orderobserver.py
│   │   └── orderobserver.py
│   ├── oco/
│   │   └── oco.py
│   ├── optimization/
│   │   └── optimization.py
│   ├── order-close/
│   │   ├── close-daily.py
│   │   └── close-minute.py
│   ├── order-execution/
│   │   └── order-execution.py
│   ├── order-history/
│   │   └── order-history.py
│   ├── order_target/
│   │   └── order_target.py
│   ├── partial-plot/
│   │   └── partial-plot.py
│   ├── pinkfish-challenge/
│   │   └── pinkfish-challenge.py
│   ├── pivot-point/
│   │   ├── pivotpoint.py
│   │   └── ppsample.py
│   ├── plot-same-axis/
│   │   └── plot-same-axis.py
│   ├── psar/
│   │   ├── psar-intraday.py
│   │   └── psar.py
│   ├── pyfolio2/
│   │   ├── backtrader-pyfolio.ipynb
│   │   └── pyfoliotest.py
│   ├── pyfoliotest/
│   │   ├── backtrader-pyfolio.ipynb
│   │   └── pyfoliotest.py
│   ├── relative-volume/
│   │   ├── relative-volume.py
│   │   └── relvolbybar.py
│   ├── renko/
│   │   └── renko.py
│   ├── resample-tickdata/
│   │   └── resample-tickdata.py
│   ├── rollover/
│   │   └── rollover.py
│   ├── sharpe-timereturn/
│   │   └── sharpe-timereturn.py
│   ├── signals-strategy/
│   │   └── signals-strategy.py
│   ├── sigsmacross/
│   │   ├── sigsmacross.py
│   │   └── sigsmacross2.py
│   ├── sizertest/
│   │   └── sizertest.py
│   ├── slippage/
│   │   └── slippage.py
│   ├── sratio/
│   │   └── sratio.py
│   ├── stop-trading/
│   │   └── stop-loss-approaches.py
│   ├── stoptrail/
│   │   └── trail.py
│   ├── strategy-selection/
│   │   └── strategy-selection.py
│   ├── talib/
│   │   ├── tablibsartest.py
│   │   └── talibtest.py
│   ├── timers/
│   │   ├── scheduled-min.py
│   │   └── scheduled.py
│   ├── tradingcalendar/
│   │   ├── tcal-intra.py
│   │   └── tcal.py
│   ├── vctest/
│   │   └── vctest.py
│   ├── volumefilling/
│   │   └── volumefilling.py
│   ├── vwr/
│   │   └── vwr.py
│   ├── weekdays-filler/
│   │   ├── weekdaysaligner.py
│   │   └── weekdaysfiller.py
│   ├── writer-test/
│   │   └── writer-test.py
│   └── yahoo-test/
│       └── yahoo-test.py
├── setup.py
├── tests/
│   ├── test_analyzer-sqn.py
│   ├── test_analyzer-timereturn.py
│   ├── test_comminfo.py
│   ├── test_data_multiframe.py
│   ├── test_data_replay.py
│   ├── test_data_resample.py
│   ├── test_ind_accdecosc.py
│   ├── test_ind_aroonoscillator.py
│   ├── test_ind_aroonupdown.py
│   ├── test_ind_atr.py
│   ├── test_ind_awesomeoscillator.py
│   ├── test_ind_bbands.py
│   ├── test_ind_cci.py
│   ├── test_ind_dema.py
│   ├── test_ind_demaenvelope.py
│   ├── test_ind_demaosc.py
│   ├── test_ind_dm.py
│   ├── test_ind_dma.py
│   ├── test_ind_downmove.py
│   ├── test_ind_dpo.py
│   ├── test_ind_dv2.py
│   ├── test_ind_ema.py
│   ├── test_ind_emaenvelope.py
│   ├── test_ind_emaosc.py
│   ├── test_ind_envelope.py
│   ├── test_ind_heikinashi.py
│   ├── test_ind_highest.py
│   ├── test_ind_hma.py
│   ├── test_ind_ichimoku.py
│   ├── test_ind_kama.py
│   ├── test_ind_kamaenvelope.py
│   ├── test_ind_kamaosc.py
│   ├── test_ind_kst.py
│   ├── test_ind_lowest.py
│   ├── test_ind_lrsi.py
│   ├── test_ind_macdhisto.py
│   ├── test_ind_minperiod.py
│   ├── test_ind_momentum.py
│   ├── test_ind_momentumoscillator.py
│   ├── test_ind_oscillator.py
│   ├── test_ind_pctchange.py
│   ├── test_ind_pctrank.py
│   ├── test_ind_pgo.py
│   ├── test_ind_ppo.py
│   ├── test_ind_pposhort.py
│   ├── test_ind_priceosc.py
│   ├── test_ind_rmi.py
│   ├── test_ind_roc.py
│   ├── test_ind_rsi.py
│   ├── test_ind_rsi_safe.py
│   ├── test_ind_sma.py
│   ├── test_ind_smaenvelope.py
│   ├── test_ind_smaosc.py
│   ├── test_ind_smma.py
│   ├── test_ind_smmaenvelope.py
│   ├── test_ind_smmaosc.py
│   ├── test_ind_stochastic.py
│   ├── test_ind_stochasticfull.py
│   ├── test_ind_sumn.py
│   ├── test_ind_tema.py
│   ├── test_ind_temaenvelope.py
│   ├── test_ind_temaosc.py
│   ├── test_ind_trix.py
│   ├── test_ind_tsi.py
│   ├── test_ind_ultosc.py
│   ├── test_ind_upmove.py
│   ├── test_ind_vortex.py
│   ├── test_ind_williamsad.py
│   ├── test_ind_williamsr.py
│   ├── test_ind_wma.py
│   ├── test_ind_wmaenvelope.py
│   ├── test_ind_wmaosc.py
│   ├── test_ind_zlema.py
│   ├── test_ind_zlind.py
│   ├── test_metaclass.py
│   ├── test_order.py
│   ├── test_position.py
│   ├── test_strategy_optimized.py
│   ├── test_strategy_unoptimized.py
│   ├── test_study_fractal.py
│   ├── test_trade.py
│   ├── test_writer.py
│   └── testcommon.py
└── tools/
    ├── bt-run.py
    ├── rewrite-data.py
    └── yahoodownload.py

================================================
FILE CONTENTS
================================================

================================================
FILE: .github/FUNDING.yml
================================================
# These are supported funding model platforms

github: mementum # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']


================================================
FILE: .gitignore
================================================
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

# C extensions
*.so

# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
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# Installer logs
pip-log.txt
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# Unit test / coverage reports
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# Translations
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# Django stuff:
*.log

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# PyBuilder
target/

# Backups
*.bak
*~
.#*
*#
*.swp
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.ipynb*
samples2/

# Ignore test files in Datas
datas/*.py

.idea/


================================================
FILE: .travis.yml
================================================
dist: xenial
language: python
python:
  - "3.6"
  - "3.7"
  - "3.8"
  - "nightly"
  - "pypy"
  - "pypy3"

matrix:
  allow_failures:
    python: "3.8-dev"
    python: "nightly"

# command to install dependencies
# install:
#  - pip install your_package
#    pip install git+https://github.com/blampe/IbPy.git

# command to run tests
script: cd tests && nosetests -v -v


================================================
FILE: LICENSE
================================================
GNU GENERAL PUBLIC LICENSE
                       Version 3, 29 June 2007

 Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
 Everyone is permitted to copy and distribute verbatim copies
 of this license document, but changing it is not allowed.

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your programs, too.

  When we speak of free software, we are referring to freedom, not
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            How to Apply These Terms to Your New Programs

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Also add information on how to contact you by electronic and paper mail.

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The hypothetical commands `show w' and `show c' should show the appropriate
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For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.

  The GNU General Public License does not permit incorporating your program
into proprietary programs.  If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
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Public License instead of this License.  But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.


================================================
FILE: README.rst
================================================
backtrader
==========

.. image:: https://img.shields.io/pypi/v/backtrader.svg
   :alt: PyPi Version
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   :target: https://pypi.python.org/pypi/backtrader/

..  .. image:: https://img.shields.io/pypi/dm/backtrader.svg
       :alt: PyPi Monthly Donwloads
       :scale: 100%
       :target: https://pypi.python.org/pypi/backtrader/

.. image:: https://img.shields.io/pypi/l/backtrader.svg
   :alt: License
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   :target: https://github.com/backtrader/backtrader/blob/master/LICENSE
.. image:: https://travis-ci.org/backtrader/backtrader.png?branch=master
   :alt: Travis-ci Build Status
   :scale: 100%
   :target: https://travis-ci.org/backtrader/backtrader
.. image:: https://img.shields.io/pypi/pyversions/backtrader.svg
   :alt: Python versions
   :scale: 100%
   :target: https://pypi.python.org/pypi/backtrader/

**Yahoo API Note**:

  [2018-11-16] After some testing it would seem that data downloads can be
  again relied upon over the web interface (or API ``v7``)

**Tickets**

  The ticket system is (was, actually) more often than not abused to ask for
  advice about samples.

For **feedback/questions/...** use the `Community <https://community.backtrader.com>`_

Here a snippet of a Simple Moving Average CrossOver. It can be done in several
different ways. Use the docs (and examples) Luke!
::

  from datetime import datetime
  import backtrader as bt

  class SmaCross(bt.SignalStrategy):
      def __init__(self):
          sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
          crossover = bt.ind.CrossOver(sma1, sma2)
          self.signal_add(bt.SIGNAL_LONG, crossover)

  cerebro = bt.Cerebro()
  cerebro.addstrategy(SmaCross)

  data0 = bt.feeds.YahooFinanceData(dataname='MSFT', fromdate=datetime(2011, 1, 1),
                                    todate=datetime(2012, 12, 31))
  cerebro.adddata(data0)

  cerebro.run()
  cerebro.plot()

Including a full featured chart. Give it a try! This is included in the samples
as ``sigsmacross/sigsmacross2.py``. Along it is ``sigsmacross.py`` which can be
parametrized from the command line.

Features:
=========

Live Trading and backtesting platform written in Python.

  - Live Data Feed and Trading with

    - Interactive Brokers (needs ``IbPy`` and benefits greatly from an
      installed ``pytz``)
    - *Visual Chart* (needs a fork of ``comtypes`` until a pull request is
      integrated in the release and benefits from ``pytz``)
    - *Oanda* (needs ``oandapy``) (REST API Only - v20 did not support
      streaming when implemented)

  - Data feeds from csv/files, online sources or from *pandas* and *blaze*
  - Filters for datas, like breaking a daily bar into chunks to simulate
    intraday or working with Renko bricks
  - Multiple data feeds and multiple strategies supported
  - Multiple timeframes at once
  - Integrated Resampling and Replaying
  - Step by Step backtesting or at once (except in the evaluation of the Strategy)
  - Integrated battery of indicators
  - *TA-Lib* indicator support (needs python *ta-lib* / check the docs)
  - Easy development of custom indicators
  - Analyzers (for example: TimeReturn, Sharpe Ratio, SQN) and ``pyfolio``
    integration (**deprecated**)
  - Flexible definition of commission schemes
  - Integrated broker simulation with *Market*, *Close*, *Limit*, *Stop*,
    *StopLimit*, *StopTrail*, *StopTrailLimit*and *OCO* orders, bracket order,
    slippage, volume filling strategies and continuous cash adjustmet for
    future-like instruments
  - Sizers for automated staking
  - Cheat-on-Close and Cheat-on-Open modes
  - Schedulers
  - Trading Calendars
  - Plotting (requires matplotlib)

Documentation
=============

The blog:

  - `Blog <http://www.backtrader.com/blog>`_

Read the full documentation at:

  - `Documentation <http://www.backtrader.com/docu>`_

List of built-in Indicators (122)

  - `Indicators Reference <http://www.backtrader.com/docu/indautoref.html>`_

Python 2/3 Support
==================

  - Python >= ``3.2``

  - It also works with ``pypy`` and ``pypy3`` (no plotting - ``matplotlib`` is
    not supported under *pypy*)

Installation
============

``backtrader`` is self-contained with no external dependencies (except if you
want to plot)

From *pypi*:

  - ``pip install backtrader``

  - ``pip install backtrader[plotting]``

    If ``matplotlib`` is not installed and you wish to do some plotting

.. note:: The minimum matplotlib version is ``1.4.1``

An example for *IB* Data Feeds/Trading:

  - ``IbPy`` doesn't seem to be in PyPi. Do either::

      pip install git+https://github.com/blampe/IbPy.git

    or (if ``git`` is not available in your system)::

      pip install https://github.com/blampe/IbPy/archive/master.zip

For other functionalities like: ``Visual Chart``, ``Oanda``, ``TA-Lib``, check
the dependencies in the documentation.

From source:

  - Place the *backtrader* directory found in the sources inside your project

Version numbering
=================

X.Y.Z.I

  - X: Major version number. Should stay stable unless something big is changed
    like an overhaul to use ``numpy``
  - Y: Minor version number. To be changed upon adding a complete new feature or
    (god forbids) an incompatible API change.
  - Z: Revision version number. To be changed for documentation updates, small
    changes, small bug fixes
  - I: Number of Indicators already built into the platform


================================================
FILE: backtrader/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from .version import __version__, __btversion__

from .errors import *
from . import errors as errors

from .utils import num2date, date2num, time2num, num2time

from .linebuffer import *
from .functions import *

from .order import *
from .comminfo import *
from .trade import *
from .position import *

from .store import Store

from . import broker as broker
from .broker import *

from .lineseries import *

from .dataseries import *
from .feed import *
from .resamplerfilter import *

from .lineiterator import *
from .indicator import *
from .analyzer import *
from .observer import *
from .sizer import *
from .sizers import SizerFix  # old sizer for compatibility
from .strategy import *

from .writer import *

from .signal import *

from .cerebro import *
from .timer import *
from .flt import *

from . import utils as utils

from . import feeds as feeds
from . import indicators as indicators
from . import indicators as ind
from . import studies as studies
from . import strategies as strategies
from . import strategies as strats
from . import observers as observers
from . import observers as obs
from . import analyzers as analyzers
from . import commissions as commissions
from . import commissions as comms
from . import filters as filters
from . import signals as signals
from . import sizers as sizers
from . import stores as stores
from . import brokers as brokers
from . import timer as timer

from . import talib as talib

# Load contributed indicators and studies
import backtrader.indicators.contrib
import backtrader.studies.contrib


================================================
FILE: backtrader/analyzer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import calendar
from collections import OrderedDict
import datetime
import pprint as pp

import backtrader as bt
from backtrader import TimeFrame
from backtrader.utils.py3 import MAXINT, with_metaclass


class MetaAnalyzer(bt.MetaParams):
    def donew(cls, *args, **kwargs):
        '''
        Intercept the strategy parameter
        '''
        # Create the object and set the params in place
        _obj, args, kwargs = super(MetaAnalyzer, cls).donew(*args, **kwargs)

        _obj._children = list()

        _obj.strategy = strategy = bt.metabase.findowner(_obj, bt.Strategy)
        _obj._parent = bt.metabase.findowner(_obj, Analyzer)

        # Register with a master observer if created inside one
        masterobs = bt.metabase.findowner(_obj, bt.Observer)
        if masterobs is not None:
            masterobs._register_analyzer(_obj)

        _obj.datas = strategy.datas

        # For each data add aliases: for first data: data and data0
        if _obj.datas:
            _obj.data = data = _obj.datas[0]

            for l, line in enumerate(data.lines):
                linealias = data._getlinealias(l)
                if linealias:
                    setattr(_obj, 'data_%s' % linealias, line)
                setattr(_obj, 'data_%d' % l, line)

            for d, data in enumerate(_obj.datas):
                setattr(_obj, 'data%d' % d, data)

                for l, line in enumerate(data.lines):
                    linealias = data._getlinealias(l)
                    if linealias:
                        setattr(_obj, 'data%d_%s' % (d, linealias), line)
                    setattr(_obj, 'data%d_%d' % (d, l), line)

        _obj.create_analysis()

        # Return to the normal chain
        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaAnalyzer, cls).dopostinit(_obj, *args, **kwargs)

        if _obj._parent is not None:
            _obj._parent._register(_obj)

        # Return to the normal chain
        return _obj, args, kwargs


class Analyzer(with_metaclass(MetaAnalyzer, object)):
    '''Analyzer base class. All analyzers are subclass of this one

    An Analyzer instance operates in the frame of a strategy and provides an
    analysis for that strategy.

    Automagically set member attributes:

      - ``self.strategy`` (giving access to the *strategy* and anything
        accessible from it)

      - ``self.datas[x]`` giving access to the array of data feeds present in
        the the system, which could also be accessed via the strategy reference

      - ``self.data``, giving access to ``self.datas[0]``

      - ``self.dataX`` -> ``self.datas[X]``

      - ``self.dataX_Y`` -> ``self.datas[X].lines[Y]``

      - ``self.dataX_name`` -> ``self.datas[X].name``

      - ``self.data_name`` -> ``self.datas[0].name``

      - ``self.data_Y`` -> ``self.datas[0].lines[Y]``

    This is not a *Lines* object, but the methods and operation follow the same
    design

      - ``__init__`` during instantiation and initial setup

      - ``start`` / ``stop`` to signal the begin and end of operations

      - ``prenext`` / ``nextstart`` / ``next`` family of methods that follow
        the calls made to the same methods in the strategy

      - ``notify_trade`` / ``notify_order`` / ``notify_cashvalue`` /
        ``notify_fund`` which receive the same notifications as the equivalent
        methods of the strategy

    The mode of operation is open and no pattern is preferred. As such the
    analysis can be generated with the ``next`` calls, at the end of operations
    during ``stop`` and even with a single method like ``notify_trade``

    The important thing is to override ``get_analysis`` to return a *dict-like*
    object containing the results of the analysis (the actual format is
    implementation dependent)

    '''
    csv = True

    def __len__(self):
        '''Support for invoking ``len`` on analyzers by actually returning the
        current length of the strategy the analyzer operates on'''
        return len(self.strategy)

    def _register(self, child):
        self._children.append(child)

    def _prenext(self):
        for child in self._children:
            child._prenext()

        self.prenext()

    def _notify_cashvalue(self, cash, value):
        for child in self._children:
            child._notify_cashvalue(cash, value)

        self.notify_cashvalue(cash, value)

    def _notify_fund(self, cash, value, fundvalue, shares):
        for child in self._children:
            child._notify_fund(cash, value, fundvalue, shares)

        self.notify_fund(cash, value, fundvalue, shares)

    def _notify_trade(self, trade):
        for child in self._children:
            child._notify_trade(trade)

        self.notify_trade(trade)

    def _notify_order(self, order):
        for child in self._children:
            child._notify_order(order)

        self.notify_order(order)

    def _nextstart(self):
        for child in self._children:
            child._nextstart()

        self.nextstart()

    def _next(self):
        for child in self._children:
            child._next()

        self.next()

    def _start(self):
        for child in self._children:
            child._start()

        self.start()

    def _stop(self):
        for child in self._children:
            child._stop()

        self.stop()

    def notify_cashvalue(self, cash, value):
        '''Receives the cash/value notification before each next cycle'''
        pass

    def notify_fund(self, cash, value, fundvalue, shares):
        '''Receives the current cash, value, fundvalue and fund shares'''
        pass

    def notify_order(self, order):
        '''Receives order notifications before each next cycle'''
        pass

    def notify_trade(self, trade):
        '''Receives trade notifications before each next cycle'''
        pass

    def next(self):
        '''Invoked for each next invocation of the strategy, once the minum
        preiod of the strategy has been reached'''
        pass

    def prenext(self):
        '''Invoked for each prenext invocation of the strategy, until the minimum
        period of the strategy has been reached

        The default behavior for an analyzer is to invoke ``next``
        '''
        self.next()

    def nextstart(self):
        '''Invoked exactly once for the nextstart invocation of the strategy,
        when the minimum period has been first reached
        '''
        self.next()

    def start(self):
        '''Invoked to indicate the start of operations, giving the analyzer
        time to setup up needed things'''
        pass

    def stop(self):
        '''Invoked to indicate the end of operations, giving the analyzer
        time to shut down needed things'''
        pass

    def create_analysis(self):
        '''Meant to be overriden by subclasses. Gives a chance to create the
        structures that hold the analysis.

        The default behaviour is to create a ``OrderedDict`` named ``rets``
        '''
        self.rets = OrderedDict()

    def get_analysis(self):
        '''Returns a *dict-like* object with the results of the analysis

        The keys and format of analysis results in the dictionary is
        implementation dependent.

        It is not even enforced that the result is a *dict-like object*, just
        the convention

        The default implementation returns the default OrderedDict ``rets``
        created by the default ``create_analysis`` method

        '''
        return self.rets

    def print(self, *args, **kwargs):
        '''Prints the results returned by ``get_analysis`` via a standard
        ``Writerfile`` object, which defaults to writing things to standard
        output
        '''
        writer = bt.WriterFile(*args, **kwargs)
        writer.start()
        pdct = dict()
        pdct[self.__class__.__name__] = self.get_analysis()
        writer.writedict(pdct)
        writer.stop()

    def pprint(self, *args, **kwargs):
        '''Prints the results returned by ``get_analysis`` using the pretty
        print Python module (*pprint*)
        '''
        pp.pprint(self.get_analysis(), *args, **kwargs)


class MetaTimeFrameAnalyzerBase(Analyzer.__class__):
    def __new__(meta, name, bases, dct):
        # Hack to support original method name
        if '_on_dt_over' in dct:
            dct['on_dt_over'] = dct.pop('_on_dt_over')  # rename method

        return super(MetaTimeFrameAnalyzerBase, meta).__new__(meta, name,
                                                              bases, dct)


class TimeFrameAnalyzerBase(with_metaclass(MetaTimeFrameAnalyzerBase,
                                           Analyzer)):
    params = (
        ('timeframe', None),
        ('compression', None),
        ('_doprenext', True),
    )

    def _start(self):
        # Override to add specific attributes
        self.timeframe = self.p.timeframe or self.data._timeframe
        self.compression = self.p.compression or self.data._compression

        self.dtcmp, self.dtkey = self._get_dt_cmpkey(datetime.datetime.min)
        super(TimeFrameAnalyzerBase, self)._start()

    def _prenext(self):
        for child in self._children:
            child._prenext()

        if self._dt_over():
            self.on_dt_over()

        if self.p._doprenext:
            self.prenext()

    def _nextstart(self):
        for child in self._children:
            child._nextstart()

        if self._dt_over() or not self.p._doprenext:  # exec if no prenext
            self.on_dt_over()

        self.nextstart()

    def _next(self):
        for child in self._children:
            child._next()

        if self._dt_over():
            self.on_dt_over()

        self.next()

    def on_dt_over(self):
        pass

    def _dt_over(self):
        if self.timeframe == TimeFrame.NoTimeFrame:
            dtcmp, dtkey = MAXINT, datetime.datetime.max
        else:
            # With >= 1.9.x the system datetime is in the strategy
            dt = self.strategy.datetime.datetime()
            dtcmp, dtkey = self._get_dt_cmpkey(dt)

        if self.dtcmp is None or dtcmp > self.dtcmp:
            self.dtkey, self.dtkey1 = dtkey, self.dtkey
            self.dtcmp, self.dtcmp1 = dtcmp, self.dtcmp
            return True

        return False

    def _get_dt_cmpkey(self, dt):
        if self.timeframe == TimeFrame.NoTimeFrame:
            return None, None

        if self.timeframe == TimeFrame.Years:
            dtcmp = dt.year
            dtkey = datetime.date(dt.year, 12, 31)

        elif self.timeframe == TimeFrame.Months:
            dtcmp = dt.year * 100 + dt.month
            _, lastday = calendar.monthrange(dt.year, dt.month)
            dtkey = datetime.datetime(dt.year, dt.month, lastday)

        elif self.timeframe == TimeFrame.Weeks:
            isoyear, isoweek, isoweekday = dt.isocalendar()
            dtcmp = isoyear * 100 + isoweek
            sunday = dt + datetime.timedelta(days=7 - isoweekday)
            dtkey = datetime.datetime(sunday.year, sunday.month, sunday.day)

        elif self.timeframe == TimeFrame.Days:
            dtcmp = dt.year * 10000 + dt.month * 100 + dt.day
            dtkey = datetime.datetime(dt.year, dt.month, dt.day)

        else:
            dtcmp, dtkey = self._get_subday_cmpkey(dt)

        return dtcmp, dtkey

    def _get_subday_cmpkey(self, dt):
        # Calculate intraday position
        point = dt.hour * 60 + dt.minute

        if self.timeframe < TimeFrame.Minutes:
            point = point * 60 + dt.second

        if self.timeframe < TimeFrame.Seconds:
            point = point * 1e6 + dt.microsecond

        # Apply compression to update point position (comp 5 -> 200 // 5)
        point = point // self.compression

        # Move to next boundary
        point += 1

        # Restore point to the timeframe units by de-applying compression
        point *= self.compression

        # Get hours, minutes, seconds and microseconds
        if self.timeframe == TimeFrame.Minutes:
            ph, pm = divmod(point, 60)
            ps = 0
            pus = 0
        elif self.timeframe == TimeFrame.Seconds:
            ph, pm = divmod(point, 60 * 60)
            pm, ps = divmod(pm, 60)
            pus = 0
        elif self.timeframe == TimeFrame.MicroSeconds:
            ph, pm = divmod(point, 60 * 60 * 1e6)
            pm, psec = divmod(pm, 60 * 1e6)
            ps, pus = divmod(psec, 1e6)

        extradays = 0
        if ph > 23:  # went over midnight:
            extradays = ph // 24
            ph %= 24

        # moving 1 minor unit to the left to be in the boundary
        # pm -= self.timeframe == TimeFrame.Minutes
        # ps -= self.timeframe == TimeFrame.Seconds
        # pus -= self.timeframe == TimeFrame.MicroSeconds

        tadjust = datetime.timedelta(
            minutes=self.timeframe == TimeFrame.Minutes,
            seconds=self.timeframe == TimeFrame.Seconds,
            microseconds=self.timeframe == TimeFrame.MicroSeconds)

        # Add extra day if present
        if extradays:
            dt += datetime.timedelta(days=extradays)

        # Replace intraday parts with the calculated ones and update it
        dtcmp = dt.replace(hour=ph, minute=pm, second=ps, microsecond=pus)
        dtcmp -= tadjust
        dtkey = dtcmp

        return dtcmp, dtkey


================================================
FILE: backtrader/analyzers/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the objects wishes
# or prepend an "_" (underscore) to private classes/variables

from .annualreturn import *
from .drawdown import *
from .timereturn import *
from .sharpe import *
from .tradeanalyzer import *
from .sqn import *
from .leverage import *
from .positions import *
from .transactions import *
from .pyfolio import *
from .returns import *
from .vwr import *

from .logreturnsrolling import *

from .calmar import *
from .periodstats import *


================================================
FILE: backtrader/analyzers/annualreturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict

from backtrader.utils.py3 import range
from backtrader import Analyzer


class AnnualReturn(Analyzer):
    '''
    This analyzer calculates the AnnualReturns by looking at the beginning
    and end of the year

    Params:

      - (None)

    Member Attributes:

      - ``rets``: list of calculated annual returns

      - ``ret``: dictionary (key: year) of annual returns

    **get_analysis**:

      - Returns a dictionary of annual returns (key: year)
    '''

    def stop(self):
        # Must have stats.broker
        cur_year = -1

        value_start = 0.0
        value_cur = 0.0
        value_end = 0.0

        self.rets = list()
        self.ret = OrderedDict()

        for i in range(len(self.data) - 1, -1, -1):
            dt = self.data.datetime.date(-i)
            value_cur = self.strategy.stats.broker.value[-i]

            if dt.year > cur_year:
                if cur_year >= 0:
                    annualret = (value_end / value_start) - 1.0
                    self.rets.append(annualret)
                    self.ret[cur_year] = annualret

                    # changing between real years, use last value as new start
                    value_start = value_end
                else:
                    # No value set whatsoever, use the currently loaded value
                    value_start = value_cur

                cur_year = dt.year

            # No matter what, the last value is always the last loaded value
            value_end = value_cur

        if cur_year not in self.ret:
            # finish calculating pending data
            annualret = (value_end / value_start) - 1.0
            self.rets.append(annualret)
            self.ret[cur_year] = annualret

    def get_analysis(self):
        return self.ret


================================================
FILE: backtrader/analyzers/calmar.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import TimeDrawDown


__all__ = ['Calmar']


class Calmar(bt.TimeFrameAnalyzerBase):
    '''This analyzer calculates the CalmarRatio
    timeframe which can be different from the one used in the underlying data
    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used
      - *None*

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    See also:

      - https://en.wikipedia.org/wiki/Calmar_ratio

    Methods:
      - ``get_analysis``

        Returns a OrderedDict with a key for the time period and the
        corresponding rolling Calmar ratio

    Attributes:
      - ``calmar`` the latest calculated calmar ratio
    '''

    packages = ('collections', 'math',)

    params = (
        ('timeframe', bt.TimeFrame.Months),  # default in calmar
        ('period', 36),
        ('fund', None),
    )

    def __init__(self):
        self._maxdd = TimeDrawDown(timeframe=self.p.timeframe,
                                   compression=self.p.compression)

    def start(self):
        self._mdd = float('-inf')
        self._values = collections.deque([float('Nan')] * self.p.period,
                                         maxlen=self.p.period)
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

        if not self._fundmode:
            self._values.append(self.strategy.broker.getvalue())
        else:
            self._values.append(self.strategy.broker.fundvalue)

    def on_dt_over(self):
        self._mdd = max(self._mdd, self._maxdd.maxdd)
        if not self._fundmode:
            self._values.append(self.strategy.broker.getvalue())
        else:
            self._values.append(self.strategy.broker.fundvalue)
        rann = math.log(self._values[-1] / self._values[0]) / len(self._values)
        self.calmar = calmar = rann / (self._mdd or float('Inf'))

        self.rets[self.dtkey] = calmar

    def stop(self):
        self.on_dt_over()  # update last values


================================================
FILE: backtrader/analyzers/drawdown.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from backtrader.utils import AutoOrderedDict


__all__ = ['DrawDown', 'TimeDrawDown']


class DrawDown(bt.Analyzer):
    '''This analyzer calculates trading system drawdowns stats such as drawdown
    values in %s and in dollars, max drawdown in %s and in dollars, drawdown
    length and drawdown max length

    Params:

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - ``get_analysis``

        Returns a dictionary (with . notation support and subdctionaries) with
        drawdown stats as values, the following keys/attributes are available:

        - ``drawdown`` - drawdown value in 0.xx %
        - ``moneydown`` - drawdown value in monetary units
        - ``len`` - drawdown length

        - ``max.drawdown`` - max drawdown value in 0.xx %
        - ``max.moneydown`` - max drawdown value in monetary units
        - ``max.len`` - max drawdown length
    '''

    params = (
        ('fund', None),
    )

    def start(self):
        super(DrawDown, self).start()
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

    def create_analysis(self):
        self.rets = AutoOrderedDict()  # dict with . notation

        self.rets.len = 0
        self.rets.drawdown = 0.0
        self.rets.moneydown = 0.0

        self.rets.max.len = 0.0
        self.rets.max.drawdown = 0.0
        self.rets.max.moneydown = 0.0

        self._maxvalue = float('-inf')  # any value will outdo it

    def stop(self):
        self.rets._close()  # . notation cannot create more keys

    def notify_fund(self, cash, value, fundvalue, shares):
        if not self._fundmode:
            self._value = value  # record current value
            self._maxvalue = max(self._maxvalue, value)  # update peak value
        else:
            self._value = fundvalue  # record current value
            self._maxvalue = max(self._maxvalue, fundvalue)  # update peak

    def next(self):
        r = self.rets

        # calculate current drawdown values
        r.moneydown = moneydown = self._maxvalue - self._value
        r.drawdown = drawdown = 100.0 * moneydown / self._maxvalue

        # maxximum drawdown values
        r.max.moneydown = max(r.max.moneydown, moneydown)
        r.max.drawdown = maxdrawdown = max(r.max.drawdown, drawdown)

        r.len = r.len + 1 if drawdown else 0
        r.max.len = max(r.max.len, r.len)


class TimeDrawDown(bt.TimeFrameAnalyzerBase):
    '''This analyzer calculates trading system drawdowns on the chosen
    timeframe which can be different from the one used in the underlying data
    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used
      - *None*

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - ``get_analysis``

        Returns a dictionary (with . notation support and subdctionaries) with
        drawdown stats as values, the following keys/attributes are available:

        - ``drawdown`` - drawdown value in 0.xx %
        - ``maxdrawdown`` - drawdown value in monetary units
        - ``maxdrawdownperiod`` - drawdown length

      - Those are available during runs as attributes
        - ``dd``
        - ``maxdd``
        - ``maxddlen``
    '''

    params = (
        ('fund', None),
    )

    def start(self):
        super(TimeDrawDown, self).start()
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund
        self.dd = 0.0
        self.maxdd = 0.0
        self.maxddlen = 0
        self.peak = float('-inf')
        self.ddlen = 0

    def on_dt_over(self):
        if not self._fundmode:
            value = self.strategy.broker.getvalue()
        else:
            value = self.strategy.broker.fundvalue

        # update the maximum seen peak
        if value > self.peak:
            self.peak = value
            self.ddlen = 0  # start of streak

        # calculate the current drawdown
        self.dd = dd = 100.0 * (self.peak - value) / self.peak
        self.ddlen += bool(dd)  # if peak == value -> dd = 0

        # update the maxdrawdown if needed
        self.maxdd = max(self.maxdd, dd)
        self.maxddlen = max(self.maxddlen, self.ddlen)

    def stop(self):
        self.rets['maxdrawdown'] = self.maxdd
        self.rets['maxdrawdownperiod'] = self.maxddlen


================================================
FILE: backtrader/analyzers/leverage.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt


class GrossLeverage(bt.Analyzer):
    '''This analyzer calculates the Gross Leverage of the current strategy
    on a timeframe basis

    Params:

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''

    params = (
        ('fund', None),
    )

    def start(self):
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

    def notify_fund(self, cash, value, fundvalue, shares):
        self._cash = cash
        if not self._fundmode:
            self._value = value
        else:
            self._value = fundvalue

    def next(self):
        # Updates the leverage for "dtkey" (see base class) for each cycle
        # 0.0 if 100% in cash, 1.0 if no short selling and fully invested
        lev = (self._value - self._cash) / self._value
        self.rets[self.data0.datetime.datetime()] = lev


================================================
FILE: backtrader/analyzers/logreturnsrolling.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import math

import backtrader as bt


__all__ = ['LogReturnsRolling']


class LogReturnsRolling(bt.TimeFrameAnalyzerBase):
    '''This analyzer calculates rolling returns for a given timeframe and
    compression

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - ``data`` (default: ``None``)

        Reference asset to track instead of the portfolio value.

        .. note:: this data must have been added to a ``cerebro`` instance with
                  ``addata``, ``resampledata`` or ``replaydata``

      - ``firstopen`` (default: ``True``)

        When tracking the returns of a ``data`` the following is done when
        crossing a timeframe boundary, for example ``Years``:

          - Last ``close`` of previous year is used as the reference price to
            see the return in the current year

        The problem is the 1st calculation, because the data has** no
        previous** closing price. As such and when this parameter is ``True``
        the *opening* price will be used for the 1st calculation.

        This requires the data feed to have an ``open`` price (for ``close``
        the standard [0] notation will be used without reference to a field
        price)

        Else the initial close will be used.

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''

    params = (
        ('data', None),
        ('firstopen', True),
        ('fund', None),
    )

    def start(self):
        super(LogReturnsRolling, self).start()
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

        self._values = collections.deque([float('Nan')] * self.compression,
                                         maxlen=self.compression)

        if self.p.data is None:
            # keep the initial portfolio value if not tracing a data
            if not self._fundmode:
                self._lastvalue = self.strategy.broker.getvalue()
            else:
                self._lastvalue = self.strategy.broker.fundvalue

    def notify_fund(self, cash, value, fundvalue, shares):
        if not self._fundmode:
            self._value = value if self.p.data is None else self.p.data[0]
        else:
            self._value = fundvalue if self.p.data is None else self.p.data[0]

    def _on_dt_over(self):
        # next is called in a new timeframe period
        if self.p.data is None or len(self.p.data) > 1:
            # Not tracking a data feed or data feed has data already
            vst = self._lastvalue  # update value_start to last
        else:
            # The 1st tick has no previous reference, use the opening price
            vst = self.p.data.open[0] if self.p.firstopen else self.p.data[0]

        self._values.append(vst)  # push values backwards (and out)

    def next(self):
        # Calculate the return
        super(LogReturnsRolling, self).next()
        self.rets[self.dtkey] = math.log(self._value / self._values[0])
        self._lastvalue = self._value  # keep last value


================================================
FILE: backtrader/analyzers/periodstats.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from backtrader.utils.py3 import itervalues
from backtrader.mathsupport import average, standarddev
from . import TimeReturn


__all__ = ['PeriodStats']


class PeriodStats(bt.Analyzer):
    '''Calculates basic statistics for given timeframe

    Params:

      - ``timeframe`` (default: ``Years``)
        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``1``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior


    ``get_analysis`` returns a dictionary containing the keys:

      - ``average``
      - ``stddev``
      - ``positive``
      - ``negative``
      - ``nochange``
      - ``best``
      - ``worst``

    If the parameter ``zeroispos`` is set to ``True``, periods with no change
    will be counted as positive
    '''

    params = (
        ('timeframe', bt.TimeFrame.Years),
        ('compression', 1),
        ('zeroispos', False),
        ('fund', None),
    )

    def __init__(self):
        self._tr = TimeReturn(timeframe=self.p.timeframe,
                              compression=self.p.compression, fund=self.p.fund)

    def stop(self):
        trets = self._tr.get_analysis()  # dict key = date, value = ret
        pos = nul = neg = 0
        trets = list(itervalues(trets))
        for tret in trets:
            if tret > 0.0:
                pos += 1
            elif tret < 0.0:
                neg += 1
            else:
                if self.p.zeroispos:
                    pos += tret == 0.0
                else:
                    nul += tret == 0.0

        self.rets['average'] = avg = average(trets)
        self.rets['stddev'] = standarddev(trets, avg)

        self.rets['positive'] = pos
        self.rets['negative'] = neg
        self.rets['nochange'] = nul

        self.rets['best'] = max(trets)
        self.rets['worst'] = min(trets)


================================================
FILE: backtrader/analyzers/positions.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt


class PositionsValue(bt.Analyzer):
    '''This analyzer reports the value of the positions of the current set of
    datas

    Params:

      - timeframe (default: ``None``)
        If ``None`` then the timeframe of the 1st data of the system will be
        used

      - compression (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - headers (default: ``False``)

        Add an initial key to the dictionary holding the results with the names
        of the datas ('Datetime' as key

      - cash (default: ``False``)

        Include the actual cash as an extra position (for the header 'cash'
        will be used as name)

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''
    params = (
        ('headers',  False),
        ('cash', False),
    )

    def start(self):
        if self.p.headers:
            headers = [d._name or 'Data%d' % i
                       for i, d in enumerate(self.datas)]
            self.rets['Datetime'] = headers + ['cash'] * self.p.cash

        tf = min(d._timeframe for d in self.datas)
        self._usedate = tf >= bt.TimeFrame.Days

    def next(self):
        pvals = [self.strategy.broker.get_value([d]) for d in self.datas]
        if self.p.cash:
            pvals.append(self.strategy.broker.get_cash())

        if self._usedate:
            self.rets[self.strategy.datetime.date()] = pvals
        else:
            self.rets[self.strategy.datetime.datetime()] = pvals


================================================
FILE: backtrader/analyzers/pyfolio.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import collections

import backtrader as bt
from backtrader.utils.py3 import items, iteritems

from . import TimeReturn, PositionsValue, Transactions, GrossLeverage


class PyFolio(bt.Analyzer):
    '''This analyzer uses 4 children analyzers to collect data and transforms it
    in to a data set compatible with ``pyfolio``

    Children Analyzer

      - ``TimeReturn``

        Used to calculate the returns of the global portfolio value

      - ``PositionsValue``

        Used to calculate the value of the positions per data. It sets the
        ``headers`` and ``cash`` parameters to ``True``

      - ``Transactions``

        Used to record each transaction on a data (size, price, value). Sets
        the ``headers`` parameter to ``True``

      - ``GrossLeverage``

        Keeps track of the gross leverage (how much the strategy is invested)

    Params:
      These are passed transparently to the children

      - timeframe (default: ``bt.TimeFrame.Days``)

        If ``None`` then the timeframe of the 1st data of the system will be
        used

      - compression (default: `1``)

        If ``None`` then the compression of the 1st data of the system will be
        used

    Both ``timeframe`` and ``compression`` are set following the default
    behavior of ``pyfolio`` which is working with *daily* data and upsample it
    to obtaine values like yearly returns.

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''
    params = (
        ('timeframe', bt.TimeFrame.Days),
        ('compression', 1)
    )

    def __init__(self):
        dtfcomp = dict(timeframe=self.p.timeframe,
                       compression=self.p.compression)

        self._returns = TimeReturn(**dtfcomp)
        self._positions = PositionsValue(headers=True, cash=True)
        self._transactions = Transactions(headers=True)
        self._gross_lev = GrossLeverage()

    def stop(self):
        super(PyFolio, self).stop()
        self.rets['returns'] = self._returns.get_analysis()
        self.rets['positions'] = self._positions.get_analysis()
        self.rets['transactions'] = self._transactions.get_analysis()
        self.rets['gross_lev'] = self._gross_lev.get_analysis()

    def get_pf_items(self):
        '''Returns a tuple of 4 elements which can be used for further processing with
          ``pyfolio``

          returns, positions, transactions, gross_leverage

        Because the objects are meant to be used as direct input to ``pyfolio``
        this method makes a local import of ``pandas`` to convert the internal
        *backtrader* results to *pandas DataFrames* which is the expected input
        by, for example, ``pyfolio.create_full_tear_sheet``

        The method will break if ``pandas`` is not installed
        '''
        # keep import local to avoid disturbing installations with no pandas
        import pandas
        from pandas import DataFrame as DF

        #
        # Returns
        cols = ['index', 'return']
        returns = DF.from_records(iteritems(self.rets['returns']),
                                  index=cols[0], columns=cols)
        returns.index = pandas.to_datetime(returns.index)
        returns.index = returns.index.tz_localize('UTC')
        rets = returns['return']
        #
        # Positions
        pss = self.rets['positions']
        ps = [[k] + v[-2:] for k, v in iteritems(pss)]
        cols = ps.pop(0)  # headers are in the first entry
        positions = DF.from_records(ps, index=cols[0], columns=cols)
        positions.index = pandas.to_datetime(positions.index)
        positions.index = positions.index.tz_localize('UTC')

        #
        # Transactions
        txss = self.rets['transactions']
        txs = list()
        # The transactions have a common key (date) and can potentially happend
        # for several assets. The dictionary has a single key and a list of
        # lists. Each sublist contains the fields of a transaction
        # Hence the double loop to undo the list indirection
        for k, v in iteritems(txss):
            for v2 in v:
                txs.append([k] + v2)

        cols = txs.pop(0)  # headers are in the first entry
        transactions = DF.from_records(txs, index=cols[0], columns=cols)
        transactions.index = pandas.to_datetime(transactions.index)
        transactions.index = transactions.index.tz_localize('UTC')

        # Gross Leverage
        cols = ['index', 'gross_lev']
        gross_lev = DF.from_records(iteritems(self.rets['gross_lev']),
                                    index=cols[0], columns=cols)

        gross_lev.index = pandas.to_datetime(gross_lev.index)
        gross_lev.index = gross_lev.index.tz_localize('UTC')
        glev = gross_lev['gross_lev']

        # Return all together
        return rets, positions, transactions, glev


================================================
FILE: backtrader/analyzers/returns.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

import backtrader as bt
from backtrader import TimeFrameAnalyzerBase


class Returns(TimeFrameAnalyzerBase):
    '''Total, Average, Compound and Annualized Returns calculated using a
    logarithmic approach

    See:

      - https://www.crystalbull.com/sharpe-ratio-better-with-log-returns/

    Params:

      - ``timeframe`` (default: ``None``)

        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - ``tann`` (default: ``None``)

        Number of periods to use for the annualization (normalization) of the

        namely:

          - ``days: 252``
          - ``weeks: 52``
          - ``months: 12``
          - ``years: 1``

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys

        The returned dict the following keys:

          - ``rtot``: Total compound return
          - ``ravg``: Average return for the entire period (timeframe specific)
          - ``rnorm``: Annualized/Normalized return
          - ``rnorm100``: Annualized/Normalized return expressed in 100%

    '''

    params = (
        ('tann', None),
        ('fund', None),
    )

    _TANN = {
        bt.TimeFrame.Days: 252.0,
        bt.TimeFrame.Weeks: 52.0,
        bt.TimeFrame.Months: 12.0,
        bt.TimeFrame.Years: 1.0,
    }

    def start(self):
        super(Returns, self).start()
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

        if not self._fundmode:
            self._value_start = self.strategy.broker.getvalue()
        else:
            self._value_start = self.strategy.broker.fundvalue

        self._tcount = 0

    def stop(self):
        super(Returns, self).stop()

        if not self._fundmode:
            self._value_end = self.strategy.broker.getvalue()
        else:
            self._value_end = self.strategy.broker.fundvalue

        # Compound return
        try:
            nlrtot = self._value_end / self._value_start
        except ZeroDivisionError:
            rtot = float('-inf')
        else:
            if nlrtot < 0.0:
                rtot = float('-inf')
            else:
                rtot = math.log(nlrtot)

        self.rets['rtot'] = rtot

        # Average return
        self.rets['ravg'] = ravg = rtot / self._tcount

        # Annualized normalized return
        tann = self.p.tann or self._TANN.get(self.timeframe, None)
        if tann is None:
            tann = self._TANN.get(self.data._timeframe, 1.0)  # assign default

        if ravg > float('-inf'):
            self.rets['rnorm'] = rnorm = math.expm1(ravg * tann)
        else:
            self.rets['rnorm'] = rnorm = ravg

        self.rets['rnorm100'] = rnorm * 100.0  # human readable %

    def _on_dt_over(self):
        self._tcount += 1  # count the subperiod


================================================
FILE: backtrader/analyzers/sharpe.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

from backtrader.utils.py3 import itervalues

from backtrader import Analyzer, TimeFrame
from backtrader.mathsupport import average, standarddev
from backtrader.analyzers import TimeReturn, AnnualReturn


class SharpeRatio(Analyzer):
    '''This analyzer calculates the SharpeRatio of a strategy using a risk free
    asset which is simply an interest rate

    See also:

      - https://en.wikipedia.org/wiki/Sharpe_ratio

    Params:

      - ``timeframe``: (default: ``TimeFrame.Years``)

      - ``compression`` (default: ``1``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

      - ``riskfreerate`` (default: 0.01 -> 1%)

        Expressed in annual terms (see ``convertrate`` below)

      - ``convertrate`` (default: ``True``)

        Convert the ``riskfreerate`` from annual to monthly, weekly or daily
        rate. Sub-day conversions are not supported

      - ``factor`` (default: ``None``)

        If ``None``, the conversion factor for the riskfree rate from *annual*
        to the chosen timeframe will be chosen from a predefined table

          Days: 252, Weeks: 52, Months: 12, Years: 1

        Else the specified value will be used

      - ``annualize`` (default: ``False``)

        If ``convertrate`` is ``True``, the *SharpeRatio* will be delivered in
        the ``timeframe`` of choice.

        In most occasions the SharpeRatio is delivered in annualized form.
        Convert the ``riskfreerate`` from annual to monthly, weekly or daily
        rate. Sub-day conversions are not supported

      - ``stddev_sample`` (default: ``False``)

        If this is set to ``True`` the *standard deviation* will be calculated
        decreasing the denominator in the mean by ``1``. This is used when
        calculating the *standard deviation* if it's considered that not all
        samples are used for the calculation. This is known as the *Bessels'
        correction*

      - ``daysfactor`` (default: ``None``)

        Old naming for ``factor``. If set to anything else than ``None`` and
        the ``timeframe`` is ``TimeFrame.Days`` it will be assumed this is old
        code and the value will be used

      - ``legacyannual`` (default: ``False``)

        Use the ``AnnualReturn`` return analyzer, which as the name implies
        only works on years

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with key "sharperatio" holding the ratio

    '''
    params = (
        ('timeframe', TimeFrame.Years),
        ('compression', 1),
        ('riskfreerate', 0.01),
        ('factor', None),
        ('convertrate', True),
        ('annualize', False),
        ('stddev_sample', False),

        # old behavior
        ('daysfactor', None),
        ('legacyannual', False),
        ('fund', None),
    )

    RATEFACTORS = {
        TimeFrame.Days: 252,
        TimeFrame.Weeks: 52,
        TimeFrame.Months: 12,
        TimeFrame.Years: 1,
    }

    def __init__(self):
        if self.p.legacyannual:
            self.anret = AnnualReturn()
        else:
            self.timereturn = TimeReturn(
                timeframe=self.p.timeframe,
                compression=self.p.compression,
                fund=self.p.fund)

    def stop(self):
        super(SharpeRatio, self).stop()
        if self.p.legacyannual:
            rate = self.p.riskfreerate
            retavg = average([r - rate for r in self.anret.rets])
            retdev = standarddev(self.anret.rets)

            self.ratio = retavg / retdev
        else:
            # Get the returns from the subanalyzer
            returns = list(itervalues(self.timereturn.get_analysis()))

            rate = self.p.riskfreerate  #

            factor = None

            # Hack to identify old code
            if self.p.timeframe == TimeFrame.Days and \
               self.p.daysfactor is not None:

                factor = self.p.daysfactor

            else:
                if self.p.factor is not None:
                    factor = self.p.factor  # user specified factor
                elif self.p.timeframe in self.RATEFACTORS:
                    # Get the conversion factor from the default table
                    factor = self.RATEFACTORS[self.p.timeframe]

            if factor is not None:
                # A factor was found

                if self.p.convertrate:
                    # Standard: downgrade annual returns to timeframe factor
                    rate = pow(1.0 + rate, 1.0 / factor) - 1.0
                else:
                    # Else upgrade returns to yearly returns
                    returns = [pow(1.0 + x, factor) - 1.0 for x in returns]

            lrets = len(returns) - self.p.stddev_sample
            # Check if the ratio can be calculated
            if lrets:
                # Get the excess returns - arithmetic mean - original sharpe
                ret_free = [r - rate for r in returns]
                ret_free_avg = average(ret_free)
                retdev = standarddev(ret_free, avgx=ret_free_avg,
                                     bessel=self.p.stddev_sample)

                try:
                    ratio = ret_free_avg / retdev

                    if factor is not None and \
                       self.p.convertrate and self.p.annualize:

                        ratio = math.sqrt(factor) * ratio
                except (ValueError, TypeError, ZeroDivisionError):
                    ratio = None
            else:
                # no returns or stddev_sample was active and 1 return
                ratio = None

            self.ratio = ratio

        self.rets['sharperatio'] = self.ratio


class SharpeRatio_A(SharpeRatio):
    '''Extension of the SharpeRatio which returns the Sharpe Ratio directly in
    annualized form

    The following param has been changed from ``SharpeRatio``

      - ``annualize`` (default: ``True``)

    '''

    params = (
        ('annualize', True),
    )


================================================
FILE: backtrader/analyzers/sqn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

from backtrader import Analyzer
from backtrader.mathsupport import average, standarddev
from backtrader.utils import AutoOrderedDict


class SQN(Analyzer):
    '''SQN or SystemQualityNumber. Defined by Van K. Tharp to categorize trading
    systems.

      - 1.6 - 1.9 Below average
      - 2.0 - 2.4 Average
      - 2.5 - 2.9 Good
      - 3.0 - 5.0 Excellent
      - 5.1 - 6.9 Superb
      - 7.0 -     Holy Grail?

    The formula:

      - SquareRoot(NumberTrades) * Average(TradesProfit) / StdDev(TradesProfit)

    The sqn value should be deemed reliable when the number of trades >= 30

    Methods:

      - get_analysis

        Returns a dictionary with keys "sqn" and "trades" (number of
        considered trades)

    '''
    alias = ('SystemQualityNumber',)

    def create_analysis(self):
        '''Replace default implementation to instantiate an AutoOrdereDict
        rather than an OrderedDict'''
        self.rets = AutoOrderedDict()

    def start(self):
        super(SQN, self).start()
        self.pnl = list()
        self.count = 0

    def notify_trade(self, trade):
        if trade.status == trade.Closed:
            self.pnl.append(trade.pnlcomm)
            self.count += 1

    def stop(self):
        if self.count > 1:
            pnl_av = average(self.pnl)
            pnl_stddev = standarddev(self.pnl)
            try:
                sqn = math.sqrt(len(self.pnl)) * pnl_av / pnl_stddev
            except ZeroDivisionError:
                sqn = None
        else:
            sqn = 0

        self.rets.sqn = sqn
        self.rets.trades = self.count


================================================
FILE: backtrader/analyzers/timereturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from backtrader import TimeFrameAnalyzerBase


class TimeReturn(TimeFrameAnalyzerBase):
    '''This analyzer calculates the Returns by looking at the beginning
    and end of the timeframe

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` the ``timeframe`` of the 1st data in the system will be
        used

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - ``data`` (default: ``None``)

        Reference asset to track instead of the portfolio value.

        .. note:: this data must have been added to a ``cerebro`` instance with
                  ``addata``, ``resampledata`` or ``replaydata``

      - ``firstopen`` (default: ``True``)

        When tracking the returns of a ``data`` the following is done when
        crossing a timeframe boundary, for example ``Years``:

          - Last ``close`` of previous year is used as the reference price to
            see the return in the current year

        The problem is the 1st calculation, because the data has** no
        previous** closing price. As such and when this parameter is ``True``
        the *opening* price will be used for the 1st calculation.

        This requires the data feed to have an ``open`` price (for ``close``
        the standard [0] notation will be used without reference to a field
        price)

        Else the initial close will be used.

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''

    params = (
        ('data', None),
        ('firstopen', True),
        ('fund', None),
    )

    def start(self):
        super(TimeReturn, self).start()
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

        self._value_start = 0.0
        self._lastvalue = None
        if self.p.data is None:
            # keep the initial portfolio value if not tracing a data
            if not self._fundmode:
                self._lastvalue = self.strategy.broker.getvalue()
            else:
                self._lastvalue = self.strategy.broker.fundvalue

    def notify_fund(self, cash, value, fundvalue, shares):
        if not self._fundmode:
            # Record current value
            if self.p.data is None:
                self._value = value  # the portofolio value if tracking no data
            else:
                self._value = self.p.data[0]  # the data value if tracking data
        else:
            if self.p.data is None:
                self._value = fundvalue  # the fund value if tracking no data
            else:
                self._value = self.p.data[0]  # the data value if tracking data

    def on_dt_over(self):
        # next is called in a new timeframe period
        # if self.p.data is None or len(self.p.data) > 1:
        if self.p.data is None or self._lastvalue is not None:
            self._value_start = self._lastvalue  # update value_start to last

        else:
            # The 1st tick has no previous reference, use the opening price
            if self.p.firstopen:
                self._value_start = self.p.data.open[0]
            else:
                self._value_start = self.p.data[0]

    def next(self):
        # Calculate the return
        super(TimeReturn, self).next()
        self.rets[self.dtkey] = (self._value / self._value_start) - 1.0
        self._lastvalue = self._value  # keep last value


================================================
FILE: backtrader/analyzers/tradeanalyzer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys

from backtrader import Analyzer
from backtrader.utils import AutoOrderedDict, AutoDict
from backtrader.utils.py3 import MAXINT


class TradeAnalyzer(Analyzer):
    '''
    Provides statistics on closed trades (keeps also the count of open ones)

      - Total Open/Closed Trades

      - Streak Won/Lost Current/Longest

      - ProfitAndLoss Total/Average

      - Won/Lost Count/ Total PNL/ Average PNL / Max PNL

      - Long/Short Count/ Total PNL / Average PNL / Max PNL

          - Won/Lost Count/ Total PNL/ Average PNL / Max PNL

      - Length (bars in the market)

        - Total/Average/Max/Min

        - Won/Lost Total/Average/Max/Min

        - Long/Short Total/Average/Max/Min

          - Won/Lost Total/Average/Max/Min

    Note:

      The analyzer uses an "auto"dict for the fields, which means that if no
      trades are executed, no statistics will be generated.

      In that case there will be a single field/subfield in the dictionary
      returned by ``get_analysis``, namely:

        - dictname['total']['total'] which will have a value of 0 (the field is
          also reachable with dot notation dictname.total.total
    '''
    def create_analysis(self):
        self.rets = AutoOrderedDict()
        self.rets.total.total = 0

    def stop(self):
        super(TradeAnalyzer, self).stop()
        self.rets._close()

    def notify_trade(self, trade):
        if trade.justopened:
            # Trade just opened
            self.rets.total.total += 1
            self.rets.total.open += 1

        elif trade.status == trade.Closed:
            trades = self.rets

            res = AutoDict()
            # Trade just closed

            won = res.won = int(trade.pnlcomm >= 0.0)
            lost = res.lost = int(not won)
            tlong = res.tlong = trade.long
            tshort = res.tshort = not trade.long

            trades.total.open -= 1
            trades.total.closed += 1

            # Streak
            for wlname in ['won', 'lost']:
                wl = res[wlname]

                trades.streak[wlname].current *= wl
                trades.streak[wlname].current += wl

                ls = trades.streak[wlname].longest or 0
                trades.streak[wlname].longest = \
                    max(ls, trades.streak[wlname].current)

            trpnl = trades.pnl
            trpnl.gross.total += trade.pnl
            trpnl.gross.average = trades.pnl.gross.total / trades.total.closed
            trpnl.net.total += trade.pnlcomm
            trpnl.net.average = trades.pnl.net.total / trades.total.closed

            # Won/Lost statistics
            for wlname in ['won', 'lost']:
                wl = res[wlname]
                trwl = trades[wlname]

                trwl.total += wl  # won.total / lost.total

                trwlpnl = trwl.pnl
                pnlcomm = trade.pnlcomm * wl

                trwlpnl.total += pnlcomm
                trwlpnl.average = trwlpnl.total / (trwl.total or 1.0)

                wm = trwlpnl.max or 0.0
                func = max if wlname == 'won' else min
                trwlpnl.max = func(wm, pnlcomm)

            # Long/Short statistics
            for tname in ['long', 'short']:
                trls = trades[tname]
                ls = res['t' + tname]

                trls.total += ls  # long.total / short.total
                trls.pnl.total += trade.pnlcomm * ls
                trls.pnl.average = trls.pnl.total / (trls.total or 1.0)

                for wlname in ['won', 'lost']:
                    wl = res[wlname]
                    pnlcomm = trade.pnlcomm * wl * ls

                    trls[wlname] += wl * ls  # long.won / short.won

                    trls.pnl[wlname].total += pnlcomm
                    trls.pnl[wlname].average = \
                        trls.pnl[wlname].total / (trls[wlname] or 1.0)

                    wm = trls.pnl[wlname].max or 0.0
                    func = max if wlname == 'won' else min
                    trls.pnl[wlname].max = func(wm, pnlcomm)

            # Length
            trades.len.total += trade.barlen
            trades.len.average = trades.len.total / trades.total.closed
            ml = trades.len.max or 0
            trades.len.max = max(ml, trade.barlen)

            ml = trades.len.min or MAXINT
            trades.len.min = min(ml, trade.barlen)

            # Length Won/Lost
            for wlname in ['won', 'lost']:
                trwl = trades.len[wlname]
                wl = res[wlname]

                trwl.total += trade.barlen * wl
                trwl.average = trwl.total / (trades[wlname].total or 1.0)

                m = trwl.max or 0
                trwl.max = max(m, trade.barlen * wl)
                if trade.barlen * wl:
                    m = trwl.min or MAXINT
                    trwl.min = min(m, trade.barlen * wl)

            # Length Long/Short
            for lsname in ['long', 'short']:
                trls = trades.len[lsname]  # trades.len.long
                ls = res['t' + lsname]  # tlong/tshort

                barlen = trade.barlen * ls

                trls.total += barlen  # trades.len.long.total
                total_ls = trades[lsname].total   # trades.long.total
                trls.average = trls.total / (total_ls or 1.0)

                # max/min
                m = trls.max or 0
                trls.max = max(m, barlen)
                m = trls.min or MAXINT
                trls.min = min(m, barlen or m)

                for wlname in ['won', 'lost']:
                    wl = res[wlname]  # won/lost

                    barlen2 = trade.barlen * ls * wl

                    trls_wl = trls[wlname]  # trades.len.long.won
                    trls_wl.total += barlen2  # trades.len.long.won.total

                    trls_wl.average = \
                        trls_wl.total / (trades[lsname][wlname] or 1.0)

                    # max/min
                    m = trls_wl.max or 0
                    trls_wl.max = max(m, barlen2)
                    m = trls_wl.min or MAXINT
                    trls_wl.min = min(m, barlen2 or m)


================================================
FILE: backtrader/analyzers/transactions.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import collections

import backtrader as bt
from backtrader import Order, Position


class Transactions(bt.Analyzer):
    '''This analyzer reports the transactions occurred with each an every data in
    the system

    It looks at the order execution bits to create a ``Position`` starting from
    0 during each ``next`` cycle.

    The result is used during next to record the transactions

    Params:

      - headers (default: ``True``)

        Add an initial key to the dictionary holding the results with the names
        of the datas

        This analyzer was modeled to facilitate the integration with
        ``pyfolio`` and the header names are taken from the samples used for
        it::

          'date', 'amount', 'price', 'sid', 'symbol', 'value'

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys
    '''
    params = (
        ('headers', False),
        ('_pfheaders', ('date', 'amount', 'price', 'sid', 'symbol', 'value')),
    )

    def start(self):
        super(Transactions, self).start()
        if self.p.headers:
            self.rets[self.p._pfheaders[0]] = [list(self.p._pfheaders[1:])]

        self._positions = collections.defaultdict(Position)
        self._idnames = list(enumerate(self.strategy.getdatanames()))

    def notify_order(self, order):
        # An order could have several partial executions per cycle (unlikely
        # but possible) and therefore: collect each new execution notification
        # and let the work for next

        # We use a fresh Position object for each round to get summary of what
        # the execution bits have done in that round
        if order.status not in [Order.Partial, Order.Completed]:
            return  # It's not an execution

        pos = self._positions[order.data._name]
        for exbit in order.executed.iterpending():
            if exbit is None:
                break  # end of pending reached

            pos.update(exbit.size, exbit.price)

    def next(self):
        # super(Transactions, self).next()  # let dtkey update
        entries = []
        for i, dname in self._idnames:
            pos = self._positions.get(dname, None)
            if pos is not None:
                size, price = pos.size, pos.price
                if size:
                    entries.append([size, price, i, dname, -size * price])

        if entries:
            self.rets[self.strategy.datetime.datetime()] = entries

        self._positions.clear()


================================================
FILE: backtrader/analyzers/vwr.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

import backtrader as bt
from backtrader import TimeFrameAnalyzerBase
from . import Returns
from ..mathsupport import standarddev


class VWR(TimeFrameAnalyzerBase):
    '''Variability-Weighted Return: Better SharpeRatio with Log Returns

    Alias:

      - VariabilityWeightedReturn

    See:

      - https://www.crystalbull.com/sharpe-ratio-better-with-log-returns/

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` then the complete return over the entire backtested period
        will be reported

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

        If ``None`` then the compression of the 1st data of the system will be
        used

      - ``tann`` (default: ``None``)

        Number of periods to use for the annualization (normalization) of the
        average returns. If ``None``, then standard ``t`` values will be used,
        namely:

          - ``days: 252``
          - ``weeks: 52``
          - ``months: 12``
          - ``years: 1``

      - ``tau`` (default: ``2.0``)

        factor for the calculation (see the literature)

      - ``sdev_max`` (default: ``0.20``)

        max standard deviation (see the literature)

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Methods:

      - get_analysis

        Returns a dictionary with returns as values and the datetime points for
        each return as keys

        The returned dict contains the following keys:

          - ``vwr``: Variability-Weighted Return
    '''

    params = (
        ('tann', None),
        ('tau', 0.20),
        ('sdev_max', 2.0),
        ('fund', None),
    )

    _TANN = {
        bt.TimeFrame.Days: 252.0,
        bt.TimeFrame.Weeks: 52.0,
        bt.TimeFrame.Months: 12.0,
        bt.TimeFrame.Years: 1.0,
    }

    def __init__(self):
        # Children log return analyzer
        self._returns = Returns(timeframe=self.p.timeframe,
                                compression=self.p.compression,
                                tann=self.p.tann)

    def start(self):
        super(VWR, self).start()
        # Add an initial placeholder for [-1] operation
        if self.p.fund is None:
            self._fundmode = self.strategy.broker.fundmode
        else:
            self._fundmode = self.p.fund

        if not self._fundmode:
            self._pis = [self.strategy.broker.getvalue()]  # keep initial value
        else:
            self._pis = [self.strategy.broker.fundvalue]  # keep initial value

        self._pns = [None]  # keep final prices (value)

    def stop(self):
        super(VWR, self).stop()
        # Check if no value has been seen after the last 'dt_over'
        # If so, there is one 'pi' out of place and a None 'pn'. Purge
        if self._pns[-1] is None:
            self._pis.pop()
            self._pns.pop()

        # Get results from children
        rs = self._returns.get_analysis()
        ravg = rs['ravg']
        rnorm100 = rs['rnorm100']

        # make n 1 based in enumerate (number of periods and not index)
        # skip initial placeholders for synchronization
        dts = []
        for n, pipn in enumerate(zip(self._pis, self._pns), 1):
            pi, pn = pipn

            dt = pn / (pi * math.exp(ravg * n)) - 1.0
            dts.append(dt)

        sdev_p = standarddev(dts, bessel=True)

        vwr = rnorm100 * (1.0 - pow(sdev_p / self.p.sdev_max, self.p.tau))
        self.rets['vwr'] = vwr

    def notify_fund(self, cash, value, fundvalue, shares):
        if not self._fundmode:
            self._pns[-1] = value  # annotate last seen pn for current period
        else:
            self._pns[-1] = fundvalue  # annotate last pn for current period

    def _on_dt_over(self):
        self._pis.append(self._pns[-1])  # last pn is pi in next period
        self._pns.append(None)  # placeholder for [-1] operation


VariabilityWeightedReturn = VWR


================================================
FILE: backtrader/broker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from backtrader.comminfo import CommInfoBase
from backtrader.metabase import MetaParams
from backtrader.utils.py3 import with_metaclass

from . import fillers as fillers
from . import fillers as filler


class MetaBroker(MetaParams):
    def __init__(cls, name, bases, dct):
        '''
        Class has already been created ... fill missing methods if needed be
        '''
        # Initialize the class
        super(MetaBroker, cls).__init__(name, bases, dct)
        translations = {
            'get_cash': 'getcash',
            'get_value': 'getvalue',
        }

        for attr, trans in translations.items():
            if not hasattr(cls, attr):
                setattr(cls, name, getattr(cls, trans))


class BrokerBase(with_metaclass(MetaBroker, object)):
    params = (
        ('commission', CommInfoBase(percabs=True)),
    )

    def __init__(self):
        self.comminfo = dict()
        self.init()

    def init(self):
        # called from init and from start
        if None not in self.comminfo:
            self.comminfo = dict({None: self.p.commission})

    def start(self):
        self.init()

    def stop(self):
        pass

    def add_order_history(self, orders, notify=False):
        '''Add order history. See cerebro for details'''
        raise NotImplementedError

    def set_fund_history(self, fund):
        '''Add fund history. See cerebro for details'''
        raise NotImplementedError

    def getcommissioninfo(self, data):
        '''Retrieves the ``CommissionInfo`` scheme associated with the given
        ``data``'''
        if data._name in self.comminfo:
            return self.comminfo[data._name]

        return self.comminfo[None]

    def setcommission(self,
                      commission=0.0, margin=None, mult=1.0,
                      commtype=None, percabs=True, stocklike=False,
                      interest=0.0, interest_long=False, leverage=1.0,
                      automargin=False,
                      name=None):

        '''This method sets a `` CommissionInfo`` object for assets managed in
        the broker with the parameters. Consult the reference for
        ``CommInfoBase``

        If name is ``None``, this will be the default for assets for which no
        other ``CommissionInfo`` scheme can be found
        '''

        comm = CommInfoBase(commission=commission, margin=margin, mult=mult,
                            commtype=commtype, stocklike=stocklike,
                            percabs=percabs,
                            interest=interest, interest_long=interest_long,
                            leverage=leverage, automargin=automargin)
        self.comminfo[name] = comm

    def addcommissioninfo(self, comminfo, name=None):
        '''Adds a ``CommissionInfo`` object that will be the default for all assets if
        ``name`` is ``None``'''
        self.comminfo[name] = comminfo

    def getcash(self):
        raise NotImplementedError

    def getvalue(self, datas=None):
        raise NotImplementedError

    def get_fundshares(self):
        '''Returns the current number of shares in the fund-like mode'''
        return 1.0  # the abstract mode has only 1 share

    fundshares = property(get_fundshares)

    def get_fundvalue(self):
        return self.getvalue()

    fundvalue = property(get_fundvalue)

    def set_fundmode(self, fundmode, fundstartval=None):
        '''Set the actual fundmode (True or False)

        If the argument fundstartval is not ``None``, it will used
        '''
        pass  # do nothing, not all brokers can support this

    def get_fundmode(self):
        '''Returns the actual fundmode (True or False)'''
        return False

    fundmode = property(get_fundmode, set_fundmode)

    def getposition(self, data):
        raise NotImplementedError

    def submit(self, order):
        raise NotImplementedError

    def cancel(self, order):
        raise NotImplementedError

    def buy(self, owner, data, size, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0, oco=None,
            trailamount=None, trailpercent=None,
            **kwargs):

        raise NotImplementedError

    def sell(self, owner, data, size, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0, oco=None,
             trailamount=None, trailpercent=None,
             **kwargs):

        raise NotImplementedError

    def next(self):
        pass

# __all__ = ['BrokerBase', 'fillers', 'filler']


================================================
FILE: backtrader/brokers/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the objects wishes
# or prepend an "_" (underscore) to private classes/variables

from .bbroker import BackBroker, BrokerBack

try:
    from .ibbroker import IBBroker
except ImportError:
    pass  # The user may not have ibpy installed

try:
    from .vcbroker import VCBroker
except ImportError:
    pass  # The user may not have something installed

try:
    from .oandabroker import OandaBroker
except ImportError as e:
    pass  # The user may not have something installed


================================================
FILE: backtrader/brokers/bbroker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import datetime

import backtrader as bt
from backtrader.comminfo import CommInfoBase
from backtrader.order import Order, BuyOrder, SellOrder
from backtrader.position import Position
from backtrader.utils.py3 import string_types, integer_types

__all__ = ['BackBroker', 'BrokerBack']


class BackBroker(bt.BrokerBase):
    '''Broker Simulator

      The simulation supports different order types, checking a submitted order
      cash requirements against current cash, keeping track of cash and value
      for each iteration of ``cerebro`` and keeping the current position on
      different datas.

      *cash* is adjusted on each iteration for instruments like ``futures`` for
       which a price change implies in real brokers the addition/substracion of
       cash.

      Supported order types:

        - ``Market``: to be executed with the 1st tick of the next bar (namely
          the ``open`` price)

        - ``Close``: meant for intraday in which the order is executed with the
          closing price of the last bar of the session

        - ``Limit``: executes if the given limit price is seen during the
          session

        - ``Stop``: executes a ``Market`` order if the given stop price is seen

        - ``StopLimit``: sets a ``Limit`` order in motion if the given stop
          price is seen

      Because the broker is instantiated by ``Cerebro`` and there should be
      (mostly) no reason to replace the broker, the params are not controlled
      by the user for the instance.  To change this there are two options:

        1. Manually create an instance of this class with the desired params
           and use ``cerebro.broker = instance`` to set the instance as the
           broker for the ``run`` execution

        2. Use the ``set_xxx`` to set the value using
           ``cerebro.broker.set_xxx`` where ```xxx`` stands for the name of the
           parameter to set

        .. note::

           ``cerebro.broker`` is a *property* supported by the ``getbroker``
           and ``setbroker`` methods of ``Cerebro``

      Params:

        - ``cash`` (default: ``10000``): starting cash

        - ``commission`` (default: ``CommInfoBase(percabs=True)``)
          base commission scheme which applies to all assets

        - ``checksubmit`` (default: ``True``)
          check margin/cash before accepting an order into the system

        - ``eosbar`` (default: ``False``):
          With intraday bars consider a bar with the same ``time`` as the end
          of session to be the end of the session. This is not usually the
          case, because some bars (final auction) are produced by many
          exchanges for many products for a couple of minutes after the end of
          the session

        - ``filler`` (default: ``None``)

          A callable with signature: ``callable(order, price, ago)``

            - ``order``: obviously the order in execution. This provides access
              to the *data* (and with it the *ohlc* and *volume* values), the
              *execution type*, remaining size (``order.executed.remsize``) and
              others.

              Please check the ``Order`` documentation and reference for things
              available inside an ``Order`` instance

            - ``price`` the price at which the order is going to be executed in
              the ``ago`` bar

            - ``ago``: index meant to be used with ``order.data`` for the
              extraction of the *ohlc* and *volume* prices. In most cases this
              will be ``0`` but on a corner case for ``Close`` orders, this
              will be ``-1``.

              In order to get the bar volume (for example) do: ``volume =
              order.data.voluume[ago]``

          The callable must return the *executed size* (a value >= 0)

          The callable may of course be an object with ``__call__`` matching
          the aforementioned signature

          With the default ``None`` orders will be completely executed in a
          single shot

        - ``slip_perc`` (default: ``0.0``) Percentage in absolute termns (and
          positive) that should be used to slip prices up/down for buy/sell
          orders

          Note:

            - ``0.01`` is ``1%``

            - ``0.001`` is ``0.1%``

        - ``slip_fixed`` (default: ``0.0``) Percentage in units (and positive)
          that should be used to slip prices up/down for buy/sell orders

          Note: if ``slip_perc`` is non zero, it takes precendence over this.

        - ``slip_open`` (default: ``False``) whether to slip prices for order
          execution which would specifically used the *opening* price of the
          next bar. An example would be ``Market`` order which is executed with
          the next available tick, i.e: the opening price of the bar.

          This also applies to some of the other executions, because the logic
          tries to detect if the *opening* price would match the requested
          price/execution type when moving to a new bar.

        - ``slip_match`` (default: ``True``)

          If ``True`` the broker will offer a match by capping slippage at
          ``high/low`` prices in case they would be exceeded.

          If ``False`` the broker will not match the order with the current
          prices and will try execution during the next iteration

        - ``slip_limit`` (default: ``True``)

          ``Limit`` orders, given the exact match price requested, will be
          matched even if ``slip_match`` is ``False``.

          This option controls that behavior.

          If ``True``, then ``Limit`` orders will be matched by capping prices
          to the ``limit`` / ``high/low`` prices

          If ``False`` and slippage exceeds the cap, then there will be no
          match

        - ``slip_out`` (default: ``False``)

          Provide *slippage* even if the price falls outside the ``high`` -
          ``low`` range.

        - ``coc`` (default: ``False``)

          *Cheat-On-Close* Setting this to ``True`` with ``set_coc`` enables
           matching a ``Market`` order to the closing price of the bar in which
           the order was issued. This is actually *cheating*, because the bar
           is *closed* and any order should first be matched against the prices
           in the next bar

        - ``coo`` (default: ``False``)

          *Cheat-On-Open* Setting this to ``True`` with ``set_coo`` enables
           matching a ``Market`` order to the opening price, by for example
           using a timer with ``cheat`` set to ``True``, because such a timer
           gets executed before the broker has evaluated

        - ``int2pnl`` (default: ``True``)

          Assign generated interest (if any) to the profit and loss of
          operation that reduces a position (be it long or short). There may be
          cases in which this is undesired, because different strategies are
          competing and the interest would be assigned on a non-deterministic
          basis to any of them.

        - ``shortcash`` (default: ``True``)

          If True then cash will be increased when a stocklike asset is shorted
          and the calculated value for the asset will be negative.

          If ``False`` then the cash will be deducted as operation cost and the
          calculated value will be positive to end up with the same amount

        - ``fundstartval`` (default: ``100.0``)

          This parameter controls the start value for measuring the performance
          in a fund-like way, i.e.: cash can be added and deducted increasing
          the amount of shares. Performance is not measured using the net
          asset value of the porftoflio but using the value of the fund

        - ``fundmode`` (default: ``False``)

          If this is set to ``True`` analyzers like ``TimeReturn`` can
          automatically calculate returns based on the fund value and not on
          the total net asset value

    '''
    params = (
        ('cash', 10000.0),
        ('checksubmit', True),
        ('eosbar', False),
        ('filler', None),
        # slippage options
        ('slip_perc', 0.0),
        ('slip_fixed', 0.0),
        ('slip_open', False),
        ('slip_match', True),
        ('slip_limit', True),
        ('slip_out', False),
        ('coc', False),
        ('coo', False),
        ('int2pnl', True),
        ('shortcash', True),
        ('fundstartval', 100.0),
        ('fundmode', False),
    )

    def __init__(self):
        super(BackBroker, self).__init__()
        self._userhist = []
        self._fundhist = []
        # share_value, net asset value
        self._fhistlast = [float('NaN'), float('NaN')]

    def init(self):
        super(BackBroker, self).init()
        self.startingcash = self.cash = self.p.cash
        self._value = self.cash
        self._valuemkt = 0.0  # no open position

        self._valuelever = 0.0  # no open position
        self._valuemktlever = 0.0  # no open position

        self._leverage = 1.0  # initially nothing is open
        self._unrealized = 0.0  # no open position

        self.orders = list()  # will only be appending
        self.pending = collections.deque()  # popleft and append(right)
        self._toactivate = collections.deque()  # to activate in next cycle

        self.positions = collections.defaultdict(Position)
        self.d_credit = collections.defaultdict(float)  # credit per data
        self.notifs = collections.deque()

        self.submitted = collections.deque()

        # to keep dependent orders if needed
        self._pchildren = collections.defaultdict(collections.deque)

        self._ocos = dict()
        self._ocol = collections.defaultdict(list)

        self._fundval = self.p.fundstartval
        self._fundshares = self.p.cash / self._fundval
        self._cash_addition = collections.deque()

    def get_notification(self):
        try:
            return self.notifs.popleft()
        except IndexError:
            pass

        return None

    def set_fundmode(self, fundmode, fundstartval=None):
        '''Set the actual fundmode (True or False)

        If the argument fundstartval is not ``None``, it will used
        '''
        self.p.fundmode = fundmode
        if fundstartval is not None:
            self.set_fundstartval(fundstartval)

    def get_fundmode(self):
        '''Returns the actual fundmode (True or False)'''
        return self.p.fundmode

    fundmode = property(get_fundmode, set_fundmode)

    def set_fundstartval(self, fundstartval):
        '''Set the starting value of the fund-like performance tracker'''
        self.p.fundstartval = fundstartval

    def set_int2pnl(self, int2pnl):
        '''Configure assignment of interest to profit and loss'''
        self.p.int2pnl = int2pnl

    def set_coc(self, coc):
        '''Configure the Cheat-On-Close method to buy the close on order bar'''
        self.p.coc = coc

    def set_coo(self, coo):
        '''Configure the Cheat-On-Open method to buy the close on order bar'''
        self.p.coo = coo

    def set_shortcash(self, shortcash):
        '''Configure the shortcash parameters'''
        self.p.shortcash = shortcash

    def set_slippage_perc(self, perc,
                          slip_open=True, slip_limit=True,
                          slip_match=True, slip_out=False):
        '''Configure slippage to be percentage based'''
        self.p.slip_perc = perc
        self.p.slip_fixed = 0.0
        self.p.slip_open = slip_open
        self.p.slip_limit = slip_limit
        self.p.slip_match = slip_match
        self.p.slip_out = slip_out

    def set_slippage_fixed(self, fixed,
                           slip_open=True, slip_limit=True,
                           slip_match=True, slip_out=False):
        '''Configure slippage to be fixed points based'''
        self.p.slip_perc = 0.0
        self.p.slip_fixed = fixed
        self.p.slip_open = slip_open
        self.p.slip_limit = slip_limit
        self.p.slip_match = slip_match
        self.p.slip_out = slip_out

    def set_filler(self, filler):
        '''Sets a volume filler for volume filling execution'''
        self.p.filler = filler

    def set_checksubmit(self, checksubmit):
        '''Sets the checksubmit parameter'''
        self.p.checksubmit = checksubmit

    def set_eosbar(self, eosbar):
        '''Sets the eosbar parameter (alias: ``seteosbar``'''
        self.p.eosbar = eosbar

    seteosbar = set_eosbar

    def get_cash(self):
        '''Returns the current cash (alias: ``getcash``)'''
        return self.cash

    getcash = get_cash

    def set_cash(self, cash):
        '''Sets the cash parameter (alias: ``setcash``)'''
        self.startingcash = self.cash = self.p.cash = cash
        self._value = cash

    setcash = set_cash

    def add_cash(self, cash):
        '''Add/Remove cash to the system (use a negative value to remove)'''
        self._cash_addition.append(cash)

    def get_fundshares(self):
        '''Returns the current number of shares in the fund-like mode'''
        return self._fundshares

    fundshares = property(get_fundshares)

    def get_fundvalue(self):
        '''Returns the Fund-like share value'''
        return self._fundval

    fundvalue = property(get_fundvalue)

    def cancel(self, order, bracket=False):
        try:
            self.pending.remove(order)
        except ValueError:
            # If the list didn't have the element we didn't cancel anything
            return False

        order.cancel()
        self.notify(order)
        self._ococheck(order)
        if not bracket:
            self._bracketize(order, cancel=True)
        return True

    def get_value(self, datas=None, mkt=False, lever=False):
        '''Returns the portfolio value of the given datas (if datas is ``None``, then
        the total portfolio value will be returned (alias: ``getvalue``)
        '''
        if datas is None:
            if mkt:
                return self._valuemkt if not lever else self._valuemktlever

            return self._value if not lever else self._valuelever

        return self._get_value(datas=datas, lever=lever)

    getvalue = get_value

    def get_value_lever(self, datas=None, mkt=False):
        return self.get_value(datas=datas, mkt=mkt)

    def _get_value(self, datas=None, lever=False):
        pos_value = 0.0
        pos_value_unlever = 0.0
        unrealized = 0.0

        while self._cash_addition:
            c = self._cash_addition.popleft()
            self._fundshares += c / self._fundval
            self.cash += c

        for data in datas or self.positions:
            comminfo = self.getcommissioninfo(data)
            position = self.positions[data]
            # use valuesize:  returns raw value, rather than negative adj val
            if not self.p.shortcash:
                dvalue = comminfo.getvalue(position, data.close[0])
            else:
                dvalue = comminfo.getvaluesize(position.size, data.close[0])

            dunrealized = comminfo.profitandloss(position.size, position.price,
                                                 data.close[0])
            if datas and len(datas) == 1:
                if lever and dvalue > 0:
                    dvalue -= dunrealized
                    return (dvalue / comminfo.get_leverage()) + dunrealized
                return dvalue  # raw data value requested, short selling is neg

            if not self.p.shortcash:
                dvalue = abs(dvalue)  # short selling adds value in this case

            pos_value += dvalue
            unrealized += dunrealized

            if dvalue > 0:  # long position - unlever
                dvalue -= dunrealized
                pos_value_unlever += (dvalue / comminfo.get_leverage())
                pos_value_unlever += dunrealized
            else:
                pos_value_unlever += dvalue

        if not self._fundhist:
            self._value = v = self.cash + pos_value_unlever
            self._fundval = self._value / self._fundshares  # update fundvalue
        else:
            # Try to fetch a value
            fval, fvalue = self._process_fund_history()

            self._value = fvalue
            self.cash = fvalue - pos_value_unlever
            self._fundval = fval
            self._fundshares = fvalue / fval
            lev = pos_value / (pos_value_unlever or 1.0)

            # update the calculated values above to the historical values
            pos_value_unlever = fvalue
            pos_value = fvalue * lev

        self._valuemkt = pos_value_unlever

        self._valuelever = self.cash + pos_value
        self._valuemktlever = pos_value

        self._leverage = pos_value / (pos_value_unlever or 1.0)
        self._unrealized = unrealized

        return self._value if not lever else self._valuelever

    def get_leverage(self):
        return self._leverage

    def get_orders_open(self, safe=False):
        '''Returns an iterable with the orders which are still open (either not
        executed or partially executed

        The orders returned must not be touched.

        If order manipulation is needed, set the parameter ``safe`` to True
        '''
        if safe:
            os = [x.clone() for x in self.pending]
        else:
            os = [x for x in self.pending]

        return os

    def getposition(self, data):
        '''Returns the current position status (a ``Position`` instance) for
        the given ``data``'''
        return self.positions[data]

    def orderstatus(self, order):
        try:
            o = self.orders.index(order)
        except ValueError:
            o = order

        return o.status

    def _take_children(self, order):
        oref = order.ref
        pref = getattr(order.parent, 'ref', oref)  # parent ref or self

        if oref != pref:
            if pref not in self._pchildren:
                order.reject()  # parent not there - may have been rejected
                self.notify(order)  # reject child, notify
                return None

        return pref

    def submit(self, order, check=True):
        pref = self._take_children(order)
        if pref is None:  # order has not been taken
            return order

        pc = self._pchildren[pref]
        pc.append(order)  # store in parent/children queue

        if order.transmit:  # if single order, sent and queue cleared
            # if parent-child, the parent will be sent, the other kept
            rets = [self.transmit(x, check=check) for x in pc]
            return rets[-1]  # last one is the one triggering transmission

        return order

    def transmit(self, order, check=True):
        if check and self.p.checksubmit:
            order.submit()
            self.submitted.append(order)
            self.orders.append(order)
            self.notify(order)
        else:
            self.submit_accept(order)

        return order

    def check_submitted(self):
        cash = self.cash
        positions = dict()

        while self.submitted:
            order = self.submitted.popleft()

            if self._take_children(order) is None:  # children not taken
                continue

            comminfo = self.getcommissioninfo(order.data)

            position = positions.setdefault(
                order.data, self.positions[order.data].clone())

            # pseudo-execute the order to get the remaining cash after exec
            cash = self._execute(order, cash=cash, position=position)

            if cash >= 0.0:
                self.submit_accept(order)
                continue

            order.margin()
            self.notify(order)
            self._ococheck(order)
            self._bracketize(order, cancel=True)

    def submit_accept(self, order):
        order.pannotated = None
        order.submit()
        order.accept()
        self.pending.append(order)
        self.notify(order)

    def _bracketize(self, order, cancel=False):
        oref = order.ref
        pref = getattr(order.parent, 'ref', oref)
        parent = oref == pref

        pc = self._pchildren[pref]  # defdict - guaranteed
        if cancel or not parent:  # cancel left or child exec -> cancel other
            while pc:
                self.cancel(pc.popleft(), bracket=True)  # idempotent

            del self._pchildren[pref]  # defdict guaranteed

        else:  # not cancel -> parent exec'd
            pc.popleft()  # remove parent
            for o in pc:  # activate childnre
                self._toactivate.append(o)

    def _ococheck(self, order):
        # ocoref = self._ocos[order.ref] or order.ref  # a parent or self
        parentref = self._ocos[order.ref]
        ocoref = self._ocos.get(parentref, None)
        ocol = self._ocol.pop(ocoref, None)
        if ocol:
            for i in range(len(self.pending) - 1, -1, -1):
                o = self.pending[i]
                if o is not None and o.ref in ocol:
                    del self.pending[i]
                    o.cancel()
                    self.notify(o)

    def _ocoize(self, order, oco):
        oref = order.ref
        if oco is None:
            self._ocos[oref] = oref  # current order is parent
            self._ocol[oref].append(oref)  # create ocogroup
        else:
            ocoref = self._ocos[oco.ref]  # ref to group leader
            self._ocos[oref] = ocoref  # ref to group leader
            self._ocol[ocoref].append(oref)  # add to group

    def add_order_history(self, orders, notify=True):
        oiter = iter(orders)
        o = next(oiter, None)
        self._userhist.append([o, oiter, notify])

    def set_fund_history(self, fund):
        # iterable with the following pro item
        # [datetime, share_value, net asset value]
        fiter = iter(fund)
        f = list(next(fiter))  # must not be empty
        self._fundhist = [f, fiter]
        # self._fhistlast = f[1:]

        self.set_cash(float(f[2]))

    def buy(self, owner, data,
            size, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0, oco=None,
            trailamount=None, trailpercent=None,
            parent=None, transmit=True,
            histnotify=False, _checksubmit=True,
            **kwargs):

        order = BuyOrder(owner=owner, data=data,
                         size=size, price=price, pricelimit=plimit,
                         exectype=exectype, valid=valid, tradeid=tradeid,
                         trailamount=trailamount, trailpercent=trailpercent,
                         parent=parent, transmit=transmit,
                         histnotify=histnotify)

        order.addinfo(**kwargs)
        self._ocoize(order, oco)

        return self.submit(order, check=_checksubmit)

    def sell(self, owner, data,
             size, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0, oco=None,
             trailamount=None, trailpercent=None,
             parent=None, transmit=True,
             histnotify=False, _checksubmit=True,
             **kwargs):

        order = SellOrder(owner=owner, data=data,
                          size=size, price=price, pricelimit=plimit,
                          exectype=exectype, valid=valid, tradeid=tradeid,
                          trailamount=trailamount, trailpercent=trailpercent,
                          parent=parent, transmit=transmit,
                          histnotify=histnotify)

        order.addinfo(**kwargs)
        self._ocoize(order, oco)

        return self.submit(order, check=_checksubmit)

    def _execute(self, order, ago=None, price=None, cash=None, position=None,
                 dtcoc=None):
        # ago = None is used a flag for pseudo execution
        if ago is not None and price is None:
            return  # no psuedo exec no price - no execution

        if self.p.filler is None or ago is None:
            # Order gets full size or pseudo-execution
            size = order.executed.remsize
        else:
            # Execution depends on volume filler
            size = self.p.filler(order, price, ago)
            if not order.isbuy():
                size = -size

        # Get comminfo object for the data
        comminfo = self.getcommissioninfo(order.data)

        # Check if something has to be compensated
        if order.data._compensate is not None:
            data = order.data._compensate
            cinfocomp = self.getcommissioninfo(data)  # for actual commission
        else:
            data = order.data
            cinfocomp = comminfo

        # Adjust position with operation size
        if ago is not None:
            # Real execution with date
            position = self.positions[data]
            pprice_orig = position.price

            psize, pprice, opened, closed = position.pseudoupdate(size, price)

            # if part/all of a position has been closed, then there has been
            # a profitandloss ... record it
            pnl = comminfo.profitandloss(-closed, pprice_orig, price)
            cash = self.cash
        else:
            pnl = 0
            if not self.p.coo:
                price = pprice_orig = order.created.price
            else:
                # When doing cheat on open, the price to be considered for a
                # market order is the opening price and not the default closing
                # price with which the order was created
                if order.exectype == Order.Market:
                    price = pprice_orig = order.data.open[0]
                else:
                    price = pprice_orig = order.created.price

            psize, pprice, opened, closed = position.update(size, price)

        # "Closing" totally or partially is possible. Cash may be re-injected
        if closed:
            # Adjust to returned value for closed items & acquired opened items
            if self.p.shortcash:
                closedvalue = comminfo.getvaluesize(-closed, pprice_orig)
            else:
                closedvalue = comminfo.getoperationcost(closed, pprice_orig)

            closecash = closedvalue
            if closedvalue > 0:  # long position closed
                closecash /= comminfo.get_leverage()  # inc cash with lever

            cash += closecash + pnl * comminfo.stocklike
            # Calculate and substract commission
            closedcomm = comminfo.getcommission(closed, price)
            cash -= closedcomm

            if ago is not None:
                # Cashadjust closed contracts: prev close vs exec price
                # The operation can inject or take cash out
                cash += comminfo.cashadjust(-closed,
                                            position.adjbase,
                                            price)

                # Update system cash
                self.cash = cash
        else:
            closedvalue = closedcomm = 0.0

        popened = opened
        if opened:
            if self.p.shortcash:
                openedvalue = comminfo.getvaluesize(opened, price)
            else:
                openedvalue = comminfo.getoperationcost(opened, price)

            opencash = openedvalue
            if openedvalue > 0:  # long position being opened
                opencash /= comminfo.get_leverage()  # dec cash with level

            cash -= opencash  # original behavior

            openedcomm = cinfocomp.getcommission(opened, price)
            cash -= openedcomm

            if cash < 0.0:
                # execution is not possible - nullify
                opened = 0
                openedvalue = openedcomm = 0.0

            elif ago is not None:  # real execution
                if abs(psize) > abs(opened):
                    # some futures were opened - adjust the cash of the
                    # previously existing futures to the operation price and
                    # use that as new adjustment base, because it already is
                    # for the new futures At the end of the cycle the
                    # adjustment to the close price will be done for all open
                    # futures from a common base price with regards to the
                    # close price
                    adjsize = psize - opened
                    cash += comminfo.cashadjust(adjsize,
                                                position.adjbase, price)

                # record adjust price base for end of bar cash adjustment
                position.adjbase = price

                # update system cash - checking if opened is still != 0
                self.cash = cash
        else:
            openedvalue = openedcomm = 0.0

        if ago is None:
            # return cash from pseudo-execution
            return cash

        execsize = closed + opened

        if execsize:
            # Confimrm the operation to the comminfo object
            comminfo.confirmexec(execsize, price)

            # do a real position update if something was executed
            position.update(execsize, price, data.datetime.datetime())

            if closed and self.p.int2pnl:  # Assign accumulated interest data
                closedcomm += self.d_credit.pop(data, 0.0)

            # Execute and notify the order
            order.execute(dtcoc or data.datetime[ago],
                          execsize, price,
                          closed, closedvalue, closedcomm,
                          opened, openedvalue, openedcomm,
                          comminfo.margin, pnl,
                          psize, pprice)

            order.addcomminfo(comminfo)

            self.notify(order)
            self._ococheck(order)

        if popened and not opened:
            # opened was not executed - not enough cash
            order.margin()
            self.notify(order)
            self._ococheck(order)
            self._bracketize(order, cancel=True)

    def notify(self, order):
        self.notifs.append(order.clone())

    def _try_exec_historical(self, order):
        self._execute(order, ago=0, price=order.created.price)

    def _try_exec_market(self, order, popen, phigh, plow):
        ago = 0
        if self.p.coc and order.info.get('coc', True):
            dtcoc = order.created.dt
            exprice = order.created.pclose
        else:
            if not self.p.coo and order.data.datetime[0] <= order.created.dt:
                return    # can only execute after creation time

            dtcoc = None
            exprice = popen

        if order.isbuy():
            p = self._slip_up(phigh, exprice, doslip=self.p.slip_open)
        else:
            p = self._slip_down(plow, exprice, doslip=self.p.slip_open)

        self._execute(order, ago=0, price=p, dtcoc=dtcoc)

    def _try_exec_close(self, order, pclose):
        # pannotated allows to keep track of the closing bar if there is no
        # information which lets us know that the current bar is the closing
        # bar (like matching end of session bar)
        # The actual matching will be done one bar afterwards but using the
        # information from the actual closing bar

        dt0 = order.data.datetime[0]
        # don't use "len" -> in replay the close can be reached with same len
        if dt0 > order.created.dt:  # can only execute after creation time
            # or (self.p.eosbar and dt0 == order.dteos):
            if dt0 >= order.dteos:
                # past the end of session or right at it and eosbar is True
                if order.pannotated and dt0 > order.dteos:
                    ago = -1
                    execprice = order.pannotated
                else:
                    ago = 0
                    execprice = pclose

                self._execute(order, ago=ago, price=execprice)
                return

        # If no exexcution has taken place ... annotate the closing price
        order.pannotated = pclose

    def _try_exec_limit(self, order, popen, phigh, plow, plimit):
        if order.isbuy():
            if plimit >= popen:
                # open smaller/equal than requested - buy cheaper
                pmax = min(phigh, plimit)
                p = self._slip_up(pmax, popen, doslip=self.p.slip_open,
                                  lim=True)
                self._execute(order, ago=0, price=p)
            elif plimit >= plow:
                # day low below req price ... match limit price
                self._execute(order, ago=0, price=plimit)

        else:  # Sell
            if plimit <= popen:
                # open greater/equal than requested - sell more expensive
                pmin = max(plow, plimit)
                p = self._slip_down(plimit, popen, doslip=self.p.slip_open,
                                    lim=True)
                self._execute(order, ago=0, price=p)
            elif plimit <= phigh:
                # day high above req price ... match limit price
                self._execute(order, ago=0, price=plimit)

    def _try_exec_stop(self, order, popen, phigh, plow, pcreated, pclose):
        if order.isbuy():
            if popen >= pcreated:
                # price penetrated with an open gap - use open
                p = self._slip_up(phigh, popen, doslip=self.p.slip_open)
                self._execute(order, ago=0, price=p)
            elif phigh >= pcreated:
                # price penetrated during the session - use trigger price
                p = self._slip_up(phigh, pcreated)
                self._execute(order, ago=0, price=p)

        else:  # Sell
            if popen <= pcreated:
                # price penetrated with an open gap - use open
                p = self._slip_down(plow, popen, doslip=self.p.slip_open)
                self._execute(order, ago=0, price=p)
            elif plow <= pcreated:
                # price penetrated during the session - use trigger price
                p = self._slip_down(plow, pcreated)
                self._execute(order, ago=0, price=p)

        # not (completely) executed and trailing stop
        if order.alive() and order.exectype == Order.StopTrail:
            order.trailadjust(pclose)

    def _try_exec_stoplimit(self, order,
                            popen, phigh, plow, pclose,
                            pcreated, plimit):
        if order.isbuy():
            if popen >= pcreated:
                order.triggered = True
                self._try_exec_limit(order, popen, phigh, plow, plimit)

            elif phigh >= pcreated:
                # price penetrated upwards during the session
                order.triggered = True
                # can calculate execution for a few cases - datetime is fixed
                if popen > pclose:
                    if plimit >= pcreated:  # limit above stop trigger
                        p = self._slip_up(phigh, pcreated, lim=True)
                        self._execute(order, ago=0, price=p)
                    elif plimit >= pclose:
                        self._execute(order, ago=0, price=plimit)
                else:  # popen < pclose
                    if plimit >= pcreated:
                        p = self._slip_up(phigh, pcreated, lim=True)
                        self._execute(order, ago=0, price=p)
        else:  # Sell
            if popen <= pcreated:
                # price penetrated downwards with an open gap
                order.triggered = True
                self._try_exec_limit(order, popen, phigh, plow, plimit)

            elif plow <= pcreated:
                # price penetrated downwards during the session
                order.triggered = True
                # can calculate execution for a few cases - datetime is fixed
                if popen <= pclose:
                    if plimit <= pcreated:
                        p = self._slip_down(plow, pcreated, lim=True)
                        self._execute(order, ago=0, price=p)
                    elif plimit <= pclose:
                        self._execute(order, ago=0, price=plimit)
                else:
                    # popen > pclose
                    if plimit <= pcreated:
                        p = self._slip_down(plow, pcreated, lim=True)
                        self._execute(order, ago=0, price=p)

        # not (completely) executed and trailing stop
        if order.alive() and order.exectype == Order.StopTrailLimit:
            order.trailadjust(pclose)

    def _slip_up(self, pmax, price, doslip=True, lim=False):
        if not doslip:
            return price

        slip_perc = self.p.slip_perc
        slip_fixed = self.p.slip_fixed
        if slip_perc:
            pslip = price * (1 + slip_perc)
        elif slip_fixed:
            pslip = price + slip_fixed
        else:
            return price

        if pslip <= pmax:  # slipping can return price
            return pslip
        elif self.p.slip_match or (lim and self.p.slip_limit):
            if not self.p.slip_out:
                return pmax

            return pslip  # non existent price

        return None  # no price can be returned

    def _slip_down(self, pmin, price, doslip=True, lim=False):
        if not doslip:
            return price

        slip_perc = self.p.slip_perc
        slip_fixed = self.p.slip_fixed
        if slip_perc:
            pslip = price * (1 - slip_perc)
        elif slip_fixed:
            pslip = price - slip_fixed
        else:
            return price

        if pslip >= pmin:  # slipping can return price
            return pslip
        elif self.p.slip_match or (lim and self.p.slip_limit):
            if not self.p.slip_out:
                return pmin

            return pslip  # non existent price

        return None  # no price can be returned

    def _try_exec(self, order):
        data = order.data

        popen = getattr(data, 'tick_open', None)
        if popen is None:
            popen = data.open[0]
        phigh = getattr(data, 'tick_high', None)
        if phigh is None:
            phigh = data.high[0]
        plow = getattr(data, 'tick_low', None)
        if plow is None:
            plow = data.low[0]
        pclose = getattr(data, 'tick_close', None)
        if pclose is None:
            pclose = data.close[0]

        pcreated = order.created.price
        plimit = order.created.pricelimit

        if order.exectype == Order.Market:
            self._try_exec_market(order, popen, phigh, plow)

        elif order.exectype == Order.Close:
            self._try_exec_close(order, pclose)

        elif order.exectype == Order.Limit:
            self._try_exec_limit(order, popen, phigh, plow, pcreated)

        elif (order.triggered and
              order.exectype in [Order.StopLimit, Order.StopTrailLimit]):
            self._try_exec_limit(order, popen, phigh, plow, plimit)

        elif order.exectype in [Order.Stop, Order.StopTrail]:
            self._try_exec_stop(order, popen, phigh, plow, pcreated, pclose)

        elif order.exectype in [Order.StopLimit, Order.StopTrailLimit]:
            self._try_exec_stoplimit(order,
                                     popen, phigh, plow, pclose,
                                     pcreated, plimit)

        elif order.exectype == Order.Historical:
            self._try_exec_historical(order)

    def _process_fund_history(self):
        fhist = self._fundhist  # [last element, iterator]
        f, funds = fhist
        if not f:
            return self._fhistlast

        dt = f[0]  # date/datetime instance
        if isinstance(dt, string_types):
            dtfmt = '%Y-%m-%d'
            if 'T' in dt:
                dtfmt += 'T%H:%M:%S'
                if '.' in dt:
                    dtfmt += '.%f'
            dt = datetime.datetime.strptime(dt, dtfmt)
            f[0] = dt  # update value

        elif isinstance(dt, datetime.datetime):
            pass
        elif isinstance(dt, datetime.date):
            dt = datetime.datetime(year=dt.year, month=dt.month, day=dt.day)
            f[0] = dt  # Update the value

        # Synchronization with the strategy is not possible because the broker
        # is called before the strategy advances. The 2 lines below would do it
        # if possible
        # st0 = self.cerebro.runningstrats[0]
        # if dt <= st0.datetime.datetime():
        if dt <= self.cerebro._dtmaster:
            self._fhistlast = f[1:]
            fhist[0] = list(next(funds, []))

        return self._fhistlast

    def _process_order_history(self):
        for uhist in self._userhist:
            uhorder, uhorders, uhnotify = uhist
            while uhorder is not None:
                uhorder = list(uhorder)  # to support assignment (if tuple)
                try:
                    dataidx = uhorder[3]  # 2nd field
                except IndexError:
                    dataidx = None  # Field not present, use default

                if dataidx is None:
                    d = self.cerebro.datas[0]
                elif isinstance(dataidx, integer_types):
                    d = self.cerebro.datas[dataidx]
                else:  # assume string
                    d = self.cerebro.datasbyname[dataidx]

                if not len(d):
                    break  # may start later as oter data feeds

                dt = uhorder[0]  # date/datetime instance
                if isinstance(dt, string_types):
                    dtfmt = '%Y-%m-%d'
                    if 'T' in dt:
                        dtfmt += 'T%H:%M:%S'
                        if '.' in dt:
                            dtfmt += '.%f'
                    dt = datetime.datetime.strptime(dt, dtfmt)
                    uhorder[0] = dt
                elif isinstance(dt, datetime.datetime):
                    pass
                elif isinstance(dt, datetime.date):
                    dt = datetime.datetime(year=dt.year,
                                           month=dt.month,
                                           day=dt.day)
                    uhorder[0] = dt

                if dt > d.datetime.datetime():
                    break  # cannot execute yet 1st in queue, stop processing

                size = uhorder[1]
                price = uhorder[2]
                owner = self.cerebro.runningstrats[0]
                if size > 0:
                    o = self.buy(owner=owner, data=d,
                                 size=size, price=price,
                                 exectype=Order.Historical,
                                 histnotify=uhnotify,
                                 _checksubmit=False)

                elif size < 0:
                    o = self.sell(owner=owner, data=d,
                                  size=abs(size), price=price,
                                  exectype=Order.Historical,
                                  histnotify=uhnotify,
                                  _checksubmit=False)

                # update to next potential order
                uhist[0] = uhorder = next(uhorders, None)

    def next(self):
        while self._toactivate:
            self._toactivate.popleft().activate()

        if self.p.checksubmit:
            self.check_submitted()

        # Discount any cash for positions hold
        credit = 0.0
        for data, pos in self.positions.items():
            if pos:
                comminfo = self.getcommissioninfo(data)
                dt0 = data.datetime.datetime()
                dcredit = comminfo.get_credit_interest(data, pos, dt0)
                self.d_credit[data] += dcredit
                credit += dcredit
                pos.datetime = dt0  # mark last credit operation

        self.cash -= credit

        self._process_order_history()

        # Iterate once over all elements of the pending queue
        self.pending.append(None)
        while True:
            order = self.pending.popleft()
            if order is None:
                break

            if order.expire():
                self.notify(order)
                self._ococheck(order)
                self._bracketize(order, cancel=True)

            elif not order.active():
                self.pending.append(order)  # cannot yet be processed

            else:
                self._try_exec(order)
                if order.alive():
                    self.pending.append(order)

                elif order.status == Order.Completed:
                    # a bracket parent order may have been executed
                    self._bracketize(order)

        # Operations have been executed ... adjust cash end of bar
        for data, pos in self.positions.items():
            # futures change cash every bar
            if pos:
                comminfo = self.getcommissioninfo(data)
                self.cash += comminfo.cashadjust(pos.size,
                                                 pos.adjbase,
                                                 data.close[0])
                # record the last adjustment price
                pos.adjbase = data.close[0]

        self._get_value()  # update value


# Alias
BrokerBack = BackBroker


================================================
FILE: backtrader/brokers/ibbroker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from copy import copy
from datetime import date, datetime, timedelta
import threading
import uuid

import ib.ext.Order
import ib.opt as ibopt

from backtrader.feed import DataBase
from backtrader import (TimeFrame, num2date, date2num, BrokerBase,
                        Order, OrderBase, OrderData)
from backtrader.utils.py3 import bytes, bstr, with_metaclass, queue, MAXFLOAT
from backtrader.metabase import MetaParams
from backtrader.comminfo import CommInfoBase
from backtrader.position import Position
from backtrader.stores import ibstore
from backtrader.utils import AutoDict, AutoOrderedDict
from backtrader.comminfo import CommInfoBase

bytes = bstr  # py2/3 need for ibpy


class IBOrderState(object):
    # wraps OrderState object and can print it
    _fields = ['status', 'initMargin', 'maintMargin', 'equityWithLoan',
               'commission', 'minCommission', 'maxCommission',
               'commissionCurrency', 'warningText']

    def __init__(self, orderstate):
        for f in self._fields:
            fname = 'm_' + f
            setattr(self, fname, getattr(orderstate, fname))

    def __str__(self):
        txt = list()
        txt.append('--- ORDERSTATE BEGIN')
        for f in self._fields:
            fname = 'm_' + f
            txt.append('{}: {}'.format(f.capitalize(), getattr(self, fname)))
        txt.append('--- ORDERSTATE END')
        return '\n'.join(txt)


class IBOrder(OrderBase, ib.ext.Order.Order):
    '''Subclasses the IBPy order to provide the minimum extra functionality
    needed to be compatible with the internally defined orders

    Once ``OrderBase`` has processed the parameters, the __init__ method takes
    over to use the parameter values and set the appropriate values in the
    ib.ext.Order.Order object

    Any extra parameters supplied with kwargs are applied directly to the
    ib.ext.Order.Order object, which could be used as follows::

      Example: if the 4 order execution types directly supported by
      ``backtrader`` are not enough, in the case of for example
      *Interactive Brokers* the following could be passed as *kwargs*::

        orderType='LIT', lmtPrice=10.0, auxPrice=9.8

      This would override the settings created by ``backtrader`` and
      generate a ``LIMIT IF TOUCHED`` order with a *touched* price of 9.8
      and a *limit* price of 10.0.

    This would be done almost always from the ``Buy`` and ``Sell`` methods of
    the ``Strategy`` subclass being used in ``Cerebro``
    '''

    def __str__(self):
        '''Get the printout from the base class and add some ib.Order specific
        fields'''
        basetxt = super(IBOrder, self).__str__()
        tojoin = [basetxt]
        tojoin.append('Ref: {}'.format(self.ref))
        tojoin.append('orderId: {}'.format(self.m_orderId))
        tojoin.append('Action: {}'.format(self.m_action))
        tojoin.append('Size (ib): {}'.format(self.m_totalQuantity))
        tojoin.append('Lmt Price: {}'.format(self.m_lmtPrice))
        tojoin.append('Aux Price: {}'.format(self.m_auxPrice))
        tojoin.append('OrderType: {}'.format(self.m_orderType))
        tojoin.append('Tif (Time in Force): {}'.format(self.m_tif))
        tojoin.append('GoodTillDate: {}'.format(self.m_goodTillDate))
        return '\n'.join(tojoin)

    # Map backtrader order types to the ib specifics
    _IBOrdTypes = {
        None: bytes('MKT'),  # default
        Order.Market: bytes('MKT'),
        Order.Limit: bytes('LMT'),
        Order.Close: bytes('MOC'),
        Order.Stop: bytes('STP'),
        Order.StopLimit: bytes('STPLMT'),
        Order.StopTrail: bytes('TRAIL'),
        Order.StopTrailLimit: bytes('TRAIL LIMIT'),
    }

    def __init__(self, action, **kwargs):

        # Marker to indicate an openOrder has been seen with
        # PendinCancel/Cancelled which is indication of an upcoming
        # cancellation
        self._willexpire = False

        self.ordtype = self.Buy if action == 'BUY' else self.Sell

        super(IBOrder, self).__init__()
        ib.ext.Order.Order.__init__(self)  # Invoke 2nd base class

        # Now fill in the specific IB parameters
        self.m_orderType = self._IBOrdTypes[self.exectype]
        self.m_permid = 0

        # 'B' or 'S' should be enough
        self.m_action = bytes(action)

        # Set the prices
        self.m_lmtPrice = 0.0
        self.m_auxPrice = 0.0

        if self.exectype == self.Market:  # is it really needed for Market?
            pass
        elif self.exectype == self.Close:  # is it ireally needed for Close?
            pass
        elif self.exectype == self.Limit:
            self.m_lmtPrice = self.price
        elif self.exectype == self.Stop:
            self.m_auxPrice = self.price  # stop price / exec is market
        elif self.exectype == self.StopLimit:
            self.m_lmtPrice = self.pricelimit  # req limit execution
            self.m_auxPrice = self.price  # trigger price
        elif self.exectype == self.StopTrail:
            if self.trailamount is not None:
                self.m_auxPrice = self.trailamount
            elif self.trailpercent is not None:
                # value expected in % format ... multiply 100.0
                self.m_trailingPercent = self.trailpercent * 100.0
        elif self.exectype == self.StopTrailLimit:
            self.m_trailStopPrice = self.m_lmtPrice = self.price
            # The limit offset is set relative to the price difference in TWS
            self.m_lmtPrice = self.pricelimit
            if self.trailamount is not None:
                self.m_auxPrice = self.trailamount
            elif self.trailpercent is not None:
                # value expected in % format ... multiply 100.0
                self.m_trailingPercent = self.trailpercent * 100.0

        self.m_totalQuantity = abs(self.size)  # ib takes only positives

        self.m_transmit = self.transmit
        if self.parent is not None:
            self.m_parentId = self.parent.m_orderId

        # Time In Force: DAY, GTC, IOC, GTD
        if self.valid is None:
            tif = 'GTC'  # Good til cancelled
        elif isinstance(self.valid, (datetime, date)):
            tif = 'GTD'  # Good til date
            self.m_goodTillDate = bytes(self.valid.strftime('%Y%m%d %H:%M:%S'))
        elif isinstance(self.valid, (timedelta,)):
            if self.valid == self.DAY:
                tif = 'DAY'
            else:
                tif = 'GTD'  # Good til date
                valid = datetime.now() + self.valid  # .now, using localtime
                self.m_goodTillDate = bytes(valid.strftime('%Y%m%d %H:%M:%S'))

        elif self.valid == 0:
            tif = 'DAY'
        else:
            tif = 'GTD'  # Good til date
            valid = num2date(self.valid)
            self.m_goodTillDate = bytes(valid.strftime('%Y%m%d %H:%M:%S'))

        self.m_tif = bytes(tif)

        # OCA
        self.m_ocaType = 1  # Cancel all remaining orders with block

        # pass any custom arguments to the order
        for k in kwargs:
            setattr(self, (not hasattr(self, k)) * 'm_' + k, kwargs[k])


class IBCommInfo(CommInfoBase):
    '''
    Commissions are calculated by ib, but the trades calculations in the
    ```Strategy`` rely on the order carrying a CommInfo object attached for the
    calculation of the operation cost and value.

    These are non-critical informations, but removing them from the trade could
    break existing usage and it is better to provide a CommInfo objet which
    enables those calculations even if with approvimate values.

    The margin calculation is not a known in advance information with IB
    (margin impact can be gotten from OrderState objects) and therefore it is
    left as future exercise to get it'''

    def getvaluesize(self, size, price):
        # In real life the margin approaches the price
        return abs(size) * price

    def getoperationcost(self, size, price):
        '''Returns the needed amount of cash an operation would cost'''
        # Same reasoning as above
        return abs(size) * price


class MetaIBBroker(BrokerBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaIBBroker, cls).__init__(name, bases, dct)
        ibstore.IBStore.BrokerCls = cls


class IBBroker(with_metaclass(MetaIBBroker, BrokerBase)):
    '''Broker implementation for Interactive Brokers.

    This class maps the orders/positions from Interactive Brokers to the
    internal API of ``backtrader``.

    Notes:

      - ``tradeid`` is not really supported, because the profit and loss are
        taken directly from IB. Because (as expected) calculates it in FIFO
        manner, the pnl is not accurate for the tradeid.

      - Position

        If there is an open position for an asset at the beginning of
        operaitons or orders given by other means change a position, the trades
        calculated in the ``Strategy`` in cerebro will not reflect the reality.

        To avoid this, this broker would have to do its own position
        management which would also allow tradeid with multiple ids (profit and
        loss would also be calculated locally), but could be considered to be
        defeating the purpose of working with a live broker
    '''
    params = ()

    def __init__(self, **kwargs):
        super(IBBroker, self).__init__()

        self.ib = ibstore.IBStore(**kwargs)

        self.startingcash = self.cash = 0.0
        self.startingvalue = self.value = 0.0

        self._lock_orders = threading.Lock()  # control access
        self.orderbyid = dict()  # orders by order id
        self.executions = dict()  # notified executions
        self.ordstatus = collections.defaultdict(dict)
        self.notifs = queue.Queue()  # holds orders which are notified
        self.tonotify = collections.deque()  # hold oids to be notified

    def start(self):
        super(IBBroker, self).start()
        self.ib.start(broker=self)

        if self.ib.connected():
            self.ib.reqAccountUpdates()
            self.startingcash = self.cash = self.ib.get_acc_cash()
            self.startingvalue = self.value = self.ib.get_acc_value()
        else:
            self.startingcash = self.cash = 0.0
            self.startingvalue = self.value = 0.0

    def stop(self):
        super(IBBroker, self).stop()
        self.ib.stop()

    def getcash(self):
        # This call cannot block if no answer is available from ib
        self.cash = self.ib.get_acc_cash()
        return self.cash

    def getvalue(self, datas=None):
        self.value = self.ib.get_acc_value()
        return self.value

    def getposition(self, data, clone=True):
        return self.ib.getposition(data.tradecontract, clone=clone)

    def cancel(self, order):
        try:
            o = self.orderbyid[order.m_orderId]
        except (ValueError, KeyError):
            return  # not found ... not cancellable

        if order.status == Order.Cancelled:  # already cancelled
            return

        self.ib.cancelOrder(order.m_orderId)

    def orderstatus(self, order):
        try:
            o = self.orderbyid[order.m_orderId]
        except (ValueError, KeyError):
            o = order

        return o.status

    def submit(self, order):
        order.submit(self)

        # ocoize if needed
        if order.oco is None:  # Generate a UniqueId
            order.m_ocaGroup = bytes(uuid.uuid4())
        else:
            order.m_ocaGroup = self.orderbyid[order.oco.m_orderId].m_ocaGroup

        self.orderbyid[order.m_orderId] = order
        self.ib.placeOrder(order.m_orderId, order.data.tradecontract, order)
        self.notify(order)

        return order

    def getcommissioninfo(self, data):
        contract = data.tradecontract
        try:
            mult = float(contract.m_multiplier)
        except (ValueError, TypeError):
            mult = 1.0

        stocklike = contract.m_secType not in ('FUT', 'OPT', 'FOP',)

        return IBCommInfo(mult=mult, stocklike=stocklike)

    def _makeorder(self, action, owner, data,
                   size, price=None, plimit=None,
                   exectype=None, valid=None,
                   tradeid=0, **kwargs):

        order = IBOrder(action, owner=owner, data=data,
                        size=size, price=price, pricelimit=plimit,
                        exectype=exectype, valid=valid,
                        tradeid=tradeid,
                        m_clientId=self.ib.clientId,
                        m_orderId=self.ib.nextOrderId(),
                        **kwargs)

        order.addcomminfo(self.getcommissioninfo(data))
        return order

    def buy(self, owner, data,
            size, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0,
            **kwargs):

        order = self._makeorder(
            'BUY',
            owner, data, size, price, plimit, exectype, valid, tradeid,
            **kwargs)

        return self.submit(order)

    def sell(self, owner, data,
             size, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0,
             **kwargs):

        order = self._makeorder(
            'SELL',
            owner, data, size, price, plimit, exectype, valid, tradeid,
            **kwargs)

        return self.submit(order)

    def notify(self, order):
        self.notifs.put(order.clone())

    def get_notification(self):
        try:
            return self.notifs.get(False)
        except queue.Empty:
            pass

        return None

    def next(self):
        self.notifs.put(None)  # mark notificatino boundary

    # Order statuses in msg
    (SUBMITTED, FILLED, CANCELLED, INACTIVE,
     PENDINGSUBMIT, PENDINGCANCEL, PRESUBMITTED) = (
        'Submitted', 'Filled', 'Cancelled', 'Inactive',
         'PendingSubmit', 'PendingCancel', 'PreSubmitted',)

    def push_orderstatus(self, msg):
        # Cancelled and Submitted with Filled = 0 can be pushed immediately
        try:
            order = self.orderbyid[msg.orderId]
        except KeyError:
            return  # not found, it was not an order

        if msg.status == self.SUBMITTED and msg.filled == 0:
            if order.status == order.Accepted:  # duplicate detection
                return

            order.accept(self)
            self.notify(order)

        elif msg.status == self.CANCELLED:
            # duplicate detection
            if order.status in [order.Cancelled, order.Expired]:
                return

            if order._willexpire:
                # An openOrder has been seen with PendingCancel/Cancelled
                # and this happens when an order expires
                order.expire()
            else:
                # Pure user cancellation happens without an openOrder
                order.cancel()
            self.notify(order)

        elif msg.status == self.PENDINGCANCEL:
            # In theory this message should not be seen according to the docs,
            # but other messages like PENDINGSUBMIT which are similarly
            # described in the docs have been received in the demo
            if order.status == order.Cancelled:  # duplicate detection
                return

            # We do nothing because the situation is handled with the 202 error
            # code if no orderStatus with CANCELLED is seen
            # order.cancel()
            # self.notify(order)

        elif msg.status == self.INACTIVE:
            # This is a tricky one, because the instances seen have led to
            # order rejection in the demo, but according to the docs there may
            # be a number of reasons and it seems like it could be reactivated
            if order.status == order.Rejected:  # duplicate detection
                return

            order.reject(self)
            self.notify(order)

        elif msg.status in [self.SUBMITTED, self.FILLED]:
            # These two are kept inside the order until execdetails and
            # commission are all in place - commission is the last to come
            self.ordstatus[msg.orderId][msg.filled] = msg

        elif msg.status in [self.PENDINGSUBMIT, self.PRESUBMITTED]:
            # According to the docs, these statuses can only be set by the
            # programmer but the demo account sent it back at random times with
            # "filled"
            if msg.filled:
                self.ordstatus[msg.orderId][msg.filled] = msg
        else:  # Unknown status ...
            pass

    def push_execution(self, ex):
        self.executions[ex.m_execId] = ex

    def push_commissionreport(self, cr):
        with self._lock_orders:
            ex = self.executions.pop(cr.m_execId)
            oid = ex.m_orderId
            order = self.orderbyid[oid]
            ostatus = self.ordstatus[oid].pop(ex.m_cumQty)

            position = self.getposition(order.data, clone=False)
            pprice_orig = position.price
            size = ex.m_shares if ex.m_side[0] == 'B' else -ex.m_shares
            price = ex.m_price
            # use pseudoupdate and let the updateportfolio do the real update?
            psize, pprice, opened, closed = position.update(size, price)

            # split commission between closed and opened
            comm = cr.m_commission
            closedcomm = comm * closed / size
            openedcomm = comm - closedcomm

            comminfo = order.comminfo
            closedvalue = comminfo.getoperationcost(closed, pprice_orig)
            openedvalue = comminfo.getoperationcost(opened, price)

            # default in m_pnl is MAXFLOAT
            pnl = cr.m_realizedPNL if closed else 0.0

            # The internal broker calc should yield the same result
            # pnl = comminfo.profitandloss(-closed, pprice_orig, price)

            # Use the actual time provided by the execution object
            # The report from TWS is in actual local time, not the data's tz
            dt = date2num(datetime.strptime(ex.m_time, '%Y%m%d  %H:%M:%S'))

            # Need to simulate a margin, but it plays no role, because it is
            # controlled by a real broker. Let's set the price of the item
            margin = order.data.close[0]

            order.execute(dt, size, price,
                          closed, closedvalue, closedcomm,
                          opened, openedvalue, openedcomm,
                          margin, pnl,
                          psize, pprice)

            if ostatus.status == self.FILLED:
                order.completed()
                self.ordstatus.pop(oid)  # nothing left to be reported
            else:
                order.partial()

            if oid not in self.tonotify:  # Lock needed
                self.tonotify.append(oid)

    def push_portupdate(self):
        # If the IBStore receives a Portfolio update, then this method will be
        # indicated. If the execution of an order is split in serveral lots,
        # updatePortfolio messages will be intermixed, which is used as a
        # signal to indicate that the strategy can be notified
        with self._lock_orders:
            while self.tonotify:
                oid = self.tonotify.popleft()
                order = self.orderbyid[oid]
                self.notify(order)

    def push_ordererror(self, msg):
        with self._lock_orders:
            try:
                order = self.orderbyid[msg.id]
            except (KeyError, AttributeError):
                return  # no order or no id in error

            if msg.errorCode == 202:
                if not order.alive():
                    return
                order.cancel()

            elif msg.errorCode == 201:  # rejected
                if order.status == order.Rejected:
                    return
                order.reject()

            else:
                order.reject()  # default for all other cases

            self.notify(order)

    def push_orderstate(self, msg):
        with self._lock_orders:
            try:
                order = self.orderbyid[msg.orderId]
            except (KeyError, AttributeError):
                return  # no order or no id in error

            if msg.orderState.m_status in ['PendingCancel', 'Cancelled',
                                           'Canceled']:
                # This is most likely due to an expiration]
                order._willexpire = True


================================================
FILE: backtrader/brokers/oandabroker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from copy import copy
from datetime import date, datetime, timedelta
import threading

from backtrader.feed import DataBase
from backtrader import (TimeFrame, num2date, date2num, BrokerBase,
                        Order, BuyOrder, SellOrder, OrderBase, OrderData)
from backtrader.utils.py3 import bytes, with_metaclass, MAXFLOAT
from backtrader.metabase import MetaParams
from backtrader.comminfo import CommInfoBase
from backtrader.position import Position
from backtrader.stores import oandastore
from backtrader.utils import AutoDict, AutoOrderedDict
from backtrader.comminfo import CommInfoBase


class OandaCommInfo(CommInfoBase):
    def getvaluesize(self, size, price):
        # In real life the margin approaches the price
        return abs(size) * price

    def getoperationcost(self, size, price):
        '''Returns the needed amount of cash an operation would cost'''
        # Same reasoning as above
        return abs(size) * price


class MetaOandaBroker(BrokerBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaOandaBroker, cls).__init__(name, bases, dct)
        oandastore.OandaStore.BrokerCls = cls


class OandaBroker(with_metaclass(MetaOandaBroker, BrokerBase)):
    '''Broker implementation for Oanda.

    This class maps the orders/positions from Oanda to the
    internal API of ``backtrader``.

    Params:

      - ``use_positions`` (default:``True``): When connecting to the broker
        provider use the existing positions to kickstart the broker.

        Set to ``False`` during instantiation to disregard any existing
        position
    '''
    params = (
        ('use_positions', True),
        ('commission', OandaCommInfo(mult=1.0, stocklike=False)),
    )

    def __init__(self, **kwargs):
        super(OandaBroker, self).__init__()

        self.o = oandastore.OandaStore(**kwargs)

        self.orders = collections.OrderedDict()  # orders by order id
        self.notifs = collections.deque()  # holds orders which are notified

        self.opending = collections.defaultdict(list)  # pending transmission
        self.brackets = dict()  # confirmed brackets

        self.startingcash = self.cash = 0.0
        self.startingvalue = self.value = 0.0
        self.positions = collections.defaultdict(Position)

    def start(self):
        super(OandaBroker, self).start()
        self.o.start(broker=self)
        self.startingcash = self.cash = cash = self.o.get_cash()
        self.startingvalue = self.value = self.o.get_value()

        if self.p.use_positions:
            for p in self.o.get_positions():
                print('position for instrument:', p['instrument'])
                is_sell = p['side'] == 'sell'
                size = p['units']
                if is_sell:
                    size = -size
                price = p['avgPrice']
                self.positions[p['instrument']] = Position(size, price)

    def data_started(self, data):
        pos = self.getposition(data)

        if pos.size < 0:
            order = SellOrder(data=data,
                              size=pos.size, price=pos.price,
                              exectype=Order.Market,
                              simulated=True)

            order.addcomminfo(self.getcommissioninfo(data))
            order.execute(0, pos.size, pos.price,
                          0, 0.0, 0.0,
                          pos.size, 0.0, 0.0,
                          0.0, 0.0,
                          pos.size, pos.price)

            order.completed()
            self.notify(order)

        elif pos.size > 0:
            order = BuyOrder(data=data,
                             size=pos.size, price=pos.price,
                             exectype=Order.Market,
                             simulated=True)

            order.addcomminfo(self.getcommissioninfo(data))
            order.execute(0, pos.size, pos.price,
                          0, 0.0, 0.0,
                          pos.size, 0.0, 0.0,
                          0.0, 0.0,
                          pos.size, pos.price)

            order.completed()
            self.notify(order)

    def stop(self):
        super(OandaBroker, self).stop()
        self.o.stop()

    def getcash(self):
        # This call cannot block if no answer is available from oanda
        self.cash = cash = self.o.get_cash()
        return cash

    def getvalue(self, datas=None):
        self.value = self.o.get_value()
        return self.value

    def getposition(self, data, clone=True):
        # return self.o.getposition(data._dataname, clone=clone)
        pos = self.positions[data._dataname]
        if clone:
            pos = pos.clone()

        return pos

    def orderstatus(self, order):
        o = self.orders[order.ref]
        return o.status

    def _submit(self, oref):
        order = self.orders[oref]
        order.submit(self)
        self.notify(order)
        for o in self._bracketnotif(order):
            o.submit(self)
            self.notify(o)

    def _reject(self, oref):
        order = self.orders[oref]
        order.reject(self)
        self.notify(order)
        self._bracketize(order, cancel=True)

    def _accept(self, oref):
        order = self.orders[oref]
        order.accept()
        self.notify(order)
        for o in self._bracketnotif(order):
            o.accept(self)
            self.notify(o)

    def _cancel(self, oref):
        order = self.orders[oref]
        order.cancel()
        self.notify(order)
        self._bracketize(order, cancel=True)

    def _expire(self, oref):
        order = self.orders[oref]
        order.expire()
        self.notify(order)
        self._bracketize(order, cancel=True)

    def _bracketnotif(self, order):
        pref = getattr(order.parent, 'ref', order.ref)  # parent ref or self
        br = self.brackets.get(pref, None)  # to avoid recursion
        return br[-2:] if br is not None else []

    def _bracketize(self, order, cancel=False):
        pref = getattr(order.parent, 'ref', order.ref)  # parent ref or self
        br = self.brackets.pop(pref, None)  # to avoid recursion
        if br is None:
            return

        if not cancel:
            if len(br) == 3:  # all 3 orders in place, parent was filled
                br = br[1:]  # discard index 0, parent
                for o in br:
                    o.activate()  # simulate activate for children
                self.brackets[pref] = br  # not done - reinsert children

            elif len(br) == 2:  # filling a children
                oidx = br.index(order)  # find index to filled (0 or 1)
                self._cancel(br[1 - oidx].ref)  # cancel remaining (1 - 0 -> 1)
        else:
            # Any cancellation cancel the others
            for o in br:
                if o.alive():
                    self._cancel(o.ref)

    def _fill(self, oref, size, price, ttype, **kwargs):
        order = self.orders[oref]

        if not order.alive():  # can be a bracket
            pref = getattr(order.parent, 'ref', order.ref)
            if pref not in self.brackets:
                msg = ('Order fill received for {}, with price {} and size {} '
                       'but order is no longer alive and is not a bracket. '
                       'Unknown situation')
                msg.format(order.ref, price, size)
                self.put_notification(msg, order, price, size)
                return

            # [main, stopside, takeside], neg idx to array are -3, -2, -1
            if ttype == 'STOP_LOSS_FILLED':
                order = self.brackets[pref][-2]
            elif ttype == 'TAKE_PROFIT_FILLED':
                order = self.brackets[pref][-1]
            else:
                msg = ('Order fill received for {}, with price {} and size {} '
                       'but order is no longer alive and is a bracket. '
                       'Unknown situation')
                msg.format(order.ref, price, size)
                self.put_notification(msg, order, price, size)
                return

        data = order.data
        pos = self.getposition(data, clone=False)
        psize, pprice, opened, closed = pos.update(size, price)

        comminfo = self.getcommissioninfo(data)

        closedvalue = closedcomm = 0.0
        openedvalue = openedcomm = 0.0
        margin = pnl = 0.0

        order.execute(data.datetime[0], size, price,
                      closed, closedvalue, closedcomm,
                      opened, openedvalue, openedcomm,
                      margin, pnl,
                      psize, pprice)

        if order.executed.remsize:
            order.partial()
            self.notify(order)
        else:
            order.completed()
            self.notify(order)
            self._bracketize(order)

    def _transmit(self, order):
        oref = order.ref
        pref = getattr(order.parent, 'ref', oref)  # parent ref or self

        if order.transmit:
            if oref != pref:  # children order
                # Put parent in orders dict, but add stopside and takeside
                # to order creation. Return the takeside order, to have 3s
                takeside = order  # alias for clarity
                parent, stopside = self.opending.pop(pref)
                for o in parent, stopside, takeside:
                    self.orders[o.ref] = o  # write them down

                self.brackets[pref] = [parent, stopside, takeside]
                self.o.order_create(parent, stopside, takeside)
                return takeside  # parent was already returned

            else:  # Parent order, which is not being transmitted
                self.orders[order.ref] = order
                return self.o.order_create(order)

        # Not transmitting
        self.opending[pref].append(order)
        return order

    def buy(self, owner, data,
            size, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0, oco=None,
            trailamount=None, trailpercent=None,
            parent=None, transmit=True,
            **kwargs):

        order = BuyOrder(owner=owner, data=data,
                         size=size, price=price, pricelimit=plimit,
                         exectype=exectype, valid=valid, tradeid=tradeid,
                         trailamount=trailamount, trailpercent=trailpercent,
                         parent=parent, transmit=transmit)

        order.addinfo(**kwargs)
        order.addcomminfo(self.getcommissioninfo(data))
        return self._transmit(order)

    def sell(self, owner, data,
             size, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0, oco=None,
             trailamount=None, trailpercent=None,
             parent=None, transmit=True,
             **kwargs):

        order = SellOrder(owner=owner, data=data,
                          size=size, price=price, pricelimit=plimit,
                          exectype=exectype, valid=valid, tradeid=tradeid,
                          trailamount=trailamount, trailpercent=trailpercent,
                          parent=parent, transmit=transmit)

        order.addinfo(**kwargs)
        order.addcomminfo(self.getcommissioninfo(data))
        return self._transmit(order)

    def cancel(self, order):
        o = self.orders[order.ref]
        if order.status == Order.Cancelled:  # already cancelled
            return

        return self.o.order_cancel(order)

    def notify(self, order):
        self.notifs.append(order.clone())

    def get_notification(self):
        if not self.notifs:
            return None

        return self.notifs.popleft()

    def next(self):
        self.notifs.append(None)  # mark notification boundary


================================================
FILE: backtrader/brokers/vcbroker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from datetime import date, datetime, timedelta
import threading

from backtrader import BrokerBase, Order, BuyOrder, SellOrder
from backtrader.comminfo import CommInfoBase
from backtrader.feed import DataBase
from backtrader.metabase import MetaParams
from backtrader.position import Position
from backtrader.utils.py3 import with_metaclass

from backtrader.stores import vcstore


class VCCommInfo(CommInfoBase):
    '''
    Commissions are calculated by ib, but the trades calculations in the
    ```Strategy`` rely on the order carrying a CommInfo object attached for the
    calculation of the operation cost and value.

    These are non-critical informations, but removing them from the trade could
    break existing usage and it is better to provide a CommInfo objet which
    enables those calculations even if with approvimate values.

    The margin calculation is not a known in advance information with IB
    (margin impact can be gotten from OrderState objects) and therefore it is
    left as future exercise to get it'''

    def getvaluesize(self, size, price):
        # In real life the margin approaches the price
        return abs(size) * price

    def getoperationcost(self, size, price):
        '''Returns the needed amount of cash an operation would cost'''
        # Same reasoning as above
        return abs(size) * price


class MetaVCBroker(BrokerBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaVCBroker, cls).__init__(name, bases, dct)
        vcstore.VCStore.BrokerCls = cls


class VCBroker(with_metaclass(MetaVCBroker, BrokerBase)):
    '''Broker implementation for VisualChart.

    This class maps the orders/positions from VisualChart to the
    internal API of ``backtrader``.

    Params:

      - ``account`` (default: None)

        VisualChart supports several accounts simultaneously on the broker. If
        the default ``None`` is in place the 1st account in the ComTrader
        ``Accounts`` collection will be used.

        If an account name is provided, the ``Accounts`` collection will be
        checked and used if present

      - ``commission`` (default: None)

        An object will be autogenerated if no commission-scheme is passed as
        parameter

        See the notes below for further explanations

    Notes:

      - Position

        VisualChart reports "OpenPositions" updates through the ComTrader
        interface but only when the position has a "size". An update to
        indicate a position has moved to ZERO is reported by the absence of
        such position. This forces to keep accounting of the positions by
        looking at the execution events, just like the simulation broker does

      - Commission

        The ComTrader interface of VisualChart does not report commissions and
        as such the auto-generated CommissionInfo object cannot use
        non-existent commissions to properly account for them. In order to
        support commissions a ``commission`` parameter has to be passed with
        the appropriate commission schemes.

        The documentation on Commission Schemes details how to do this

      - Expiration Timing

        The ComTrader interface (or is it the comtypes module?) discards
        ``time`` information from ``datetime`` objects and expiration dates are
        always full dates.

      - Expiration Reporting

        At the moment no heuristic is in place to determine when a cancelled
        order has been cancelled due to expiration. And therefore expired
        orders are reported as cancelled.
    '''
    params = (
        ('account', None),
        ('commission', None),
    )

    def __init__(self, **kwargs):
        super(VCBroker, self).__init__()

        self.store = vcstore.VCStore(**kwargs)

        # Account data
        self._acc_name = None
        self.startingcash = self.cash = 0.0
        self.startingvalue = self.value = 0.0

        # Position accounting
        self._lock_pos = threading.Lock()  # sync account updates
        self.positions = collections.defaultdict(Position)  # actual positions

        # Order storage
        self._lock_orders = threading.Lock()  # control access
        self.orderbyid = dict()  # orders by order id

        # Notifications
        self.notifs = collections.deque()

        # Dictionaries of values for order mapping
        self._otypes = {
            Order.Market: self.store.vcctmod.OT_Market,
            Order.Close: self.store.vcctmod.OT_Market,
            Order.Limit: self.store.vcctmod.OT_Limit,
            Order.Stop: self.store.vcctmod.OT_StopMarket,
            Order.StopLimit: self.store.vcctmod.OT_StopLimit,
        }

        self._osides = {
            Order.Buy: self.store.vcctmod.OS_Buy,
            Order.Sell: self.store.vcctmod.OS_Sell,
        }

        self._otrestriction = {
            Order.T_None: self.store.vcctmod.TR_NoRestriction,
            Order.T_Date: self.store.vcctmod.TR_Date,
            Order.T_Close: self.store.vcctmod.TR_CloseAuction,
            Order.T_Day: self.store.vcctmod.TR_Session,
        }

        self._ovrestriction = {
            Order.V_None: self.store.vcctmod.VR_NoRestriction,
        }

        self._futlikes = (
            self.store.vcdsmod.IT_Future, self.store.vcdsmod.IT_Option,
            self.store.vcdsmod.IT_Fund,
        )

    def start(self):
        super(VCBroker, self).start()
        self.store.start(broker=self)

    def stop(self):
        super(VCBroker, self).stop()
        self.store.stop()

    def getcash(self):
        # This call cannot block if no answer is available from ib
        return self.cash

    def getvalue(self, datas=None):
        return self.value

    def get_notification(self):
        return self.notifs.popleft()  # at leat a None is present

    def notify(self, order):
        self.notifs.append(order.clone())

    def next(self):
        self.notifs.append(None)  # mark notificatino boundary

    def getposition(self, data, clone=True):
        with self._lock_pos:
            pos = self.positions[data._tradename]
            if clone:
                return pos.clone()

        return pos

    def getcommissioninfo(self, data):
        if data._tradename in self.comminfo:
            return self.comminfo[data._tradename]

        comminfo = self.comminfo[None]
        if comminfo is not None:
            return comminfo

        stocklike = data._syminfo.Type in self._futlikes

        return VCCommInfo(mult=data._syminfo.PointValue, stocklike=stocklike)

    def _makeorder(self, ordtype, owner, data,
                   size, price=None, plimit=None,
                   exectype=None, valid=None,
                   tradeid=0, **kwargs):

        order = self.store.vcctmod.Order()
        order.Account = self._acc_name
        order.SymbolCode = data._tradename
        order.OrderType = self._otypes[exectype]
        order.OrderSide = self._osides[ordtype]

        order.VolumeRestriction = self._ovrestriction[Order.V_None]
        order.HideVolume = 0
        order.MinVolume = 0

        # order.UserName = 'danjrod'  # str(tradeid)
        # order.OrderId = 'a' * 50  # str(tradeid)
        order.UserOrderId = ''
        if tradeid:
            order.ExtendedInfo = 'TradeId {}'.format(tradeid)
        else:
            order.ExtendedInfo = ''

        order.Volume = abs(size)

        order.StopPrice = 0.0
        order.Price = 0.0
        if exectype == Order.Market:
            pass
        elif exectype == Order.Limit:
            order.Price = price or plimit  # cover naming confusion cases
        elif exectype == Order.Close:
            pass
        elif exectype == Order.Stop:
            order.StopPrice = price
        elif exectype == Order.StopLimit:
            order.StopPrice = price
            order.Price = plimit

        order.ValidDate = None
        if exectype == Order.Close:
            order.TimeRestriction = self._otrestriction[Order.T_Close]
        else:
            if valid is None:
                order.TimeRestriction = self._otrestriction[Order.T_None]
            elif isinstance(valid, (datetime, date)):
                order.TimeRestriction = self._otrestriction[Order.T_Date]
                order.ValidDate = valid
            elif isinstance(valid, (timedelta,)):
                if valid == Order.DAY:
                    order.TimeRestriction = self._otrestriction[Order.T_Day]
                else:
                    order.TimeRestriction = self._otrestriction[Order.T_Date]
                    order.ValidDate = datetime.now() + valid

            elif not self.valid:  # DAY
                order.TimeRestriction = self._otrestriction[Order.T_Day]

        # Support for custom user arguments
        for k in kwargs:
            if hasattr(order, k):
                setattr(order, k, kwargs[k])

        return order

    def submit(self, order, vcorder):
        order.submit(self)

        vco = vcorder
        oid = self.store.vcct.SendOrder(
            vco.Account, vco.SymbolCode,
            vco.OrderType, vco.OrderSide, vco.Volume, vco.Price, vco.StopPrice,
            vco.VolumeRestriction, vco.TimeRestriction,
            ValidDate=vco.ValidDate
        )

        order.vcorder = oid
        order.addcomminfo(self.getcommissioninfo(order.data))

        with self._lock_orders:
            self.orderbyid[oid] = order
        self.notify(order)
        return order

    def buy(self, owner, data,
            size, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0,
            **kwargs):

        order = BuyOrder(owner=owner, data=data,
                         size=size, price=price, pricelimit=plimit,
                         exectype=exectype, valid=valid, tradeid=tradeid)

        order.addinfo(**kwargs)

        vcorder = self._makeorder(order.ordtype, owner, data, size, price,
                                  plimit, exectype, valid, tradeid,
                                  **kwargs)

        return self.submit(order, vcorder)

    def sell(self, owner, data,
             size, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0,
             **kwargs):

        order = SellOrder(owner=owner, data=data,
                          size=size, price=price, pricelimit=plimit,
                          exectype=exectype, valid=valid, tradeid=tradeid)

        order.addinfo(**kwargs)

        vcorder = self._makeorder(order.ordtype, owner, data, size, price,
                                  plimit, exectype, valid, tradeid,
                                  **kwargs)

        return self.submit(order, vcorder)

    #
    # COM Events implementation
    #
    def __call__(self, trader):
        # Called to start the process, call in sub-thread. only the passed
        # trader can be used in the thread
        self.trader = trader

        for acc in trader.Accounts:
            if self.p.account is None or self.p.account == acc.Account:
                self.startingcash = self.cash = acc.Balance.Cash
                self.startingvalue = self.value = acc.Balance.NetWorth
                self._acc_name = acc.Account
                break  # found the account

        return self

    def OnChangedBalance(self, Account):
        if self._acc_name is None or self._acc_name != Account:
            return  # skip notifs for other accounts

        for acc in self.trader.Accounts:
            if acc.Account == Account:
                # Update store values
                self.cash = acc.Balance.Cash
                self.value = acc.Balance.NetWorth
                break

    def OnModifiedOrder(self, Order):
        # We are not expecting this: unless backtrader starts implementing
        # modify order method
        pass

    def OnCancelledOrder(self, Order):
        with self._lock_orders:
            try:
                border = self.orderbyid[Order.OrderId]
            except KeyError:
                return  # possibly external order

        border.cancel()
        self.notify(border)

    def OnTotalExecutedOrder(self, Order):
        self.OnExecutedOrder(Order, partial=False)

    def OnPartialExecutedOrder(self, Order):
        self.OnExecutedOrder(Order, partial=True)

    def OnExecutedOrder(self, Order, partial):
        with self._lock_orders:
            try:
                border = self.orderbyid[Order.OrderId]
            except KeyError:
                return  # possibly external order

        price = Order.Price
        size = Order.Volume
        if border.issell():
            size *= -1

        # Find position and do a real update - accounting happens here
        position = self.getposition(border.data, clone=False)
        pprice_orig = position.price
        psize, pprice, opened, closed = position.update(size, price)

        comminfo = border.comminfo
        closedvalue = comminfo.getoperationcost(closed, pprice_orig)
        closedcomm = comminfo.getcommission(closed, price)

        openedvalue = comminfo.getoperationcost(opened, price)
        openedcomm = comminfo.getcommission(opened, price)

        pnl = comminfo.profitandloss(-closed, pprice_orig, price)
        margin = comminfo.getvaluesize(size, price)

        # NOTE: No commission information available in the Trader interface
        # CHECK: Use reported time instead of last data time?
        border.execute(border.data.datetime[0],
                       size, price,
                       closed, closedvalue, closedcomm,
                       opened, openedvalue, openedcomm,
                       margin, pnl,
                       psize, pprice)  # pnl

        if partial:
            border.partial()
        else:
            border.completed()

        self.notify(border)

    def OnOrderInMarket(self, Order):
        # Other is in ther market ... therefore "accepted"
        with self._lock_orders:
            try:
                border = self.orderbyid[Order.OrderId]
            except KeyError:
                return  # possibly external order

        border.accept()
        self.notify(border)

    def OnNewOrderLocation(self, Order):
        # Can be used for "submitted", but the status is set manually
        pass

    def OnChangedOpenPositions(self, Account):
        # This would be useful if it reported a position moving back to 0. In
        # this case the report contains a no-position and this doesn't help in
        # the accounting. That's why the accounting is delegated to the
        # reception of order execution
        pass

    def OnNewClosedOperations(self, Account):
        # This call-back has not been seen
        pass

    def OnServerShutDown(self):
        pass

    def OnInternalEvent(self, p1, p2, p3):
        pass


================================================
FILE: backtrader/btrun/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from .btrun import btrun


================================================
FILE: backtrader/btrun/btrun.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import inspect
import itertools
import random
import string
import sys

import backtrader as bt


DATAFORMATS = dict(
    btcsv=bt.feeds.BacktraderCSVData,
    vchartcsv=bt.feeds.VChartCSVData,
    vcfile=bt.feeds.VChartFile,
    sierracsv=bt.feeds.SierraChartCSVData,
    mt4csv=bt.feeds.MT4CSVData,
    yahoocsv=bt.feeds.YahooFinanceCSVData,
    yahoocsv_unreversed=bt.feeds.YahooFinanceCSVData,
    yahoo=bt.feeds.YahooFinanceData,
)

try:
    DATAFORMATS['vcdata'] = bt.feeds.VCData
except AttributeError:
    pass  # no comtypes available

try:
    DATAFORMATS['ibdata'] = bt.feeds.IBData,
except AttributeError:
    pass  # no ibpy available

try:
    DATAFORMATS['oandadata'] = bt.feeds.OandaData,
except AttributeError:
    pass  # no oandapy available


TIMEFRAMES = dict(
    microseconds=bt.TimeFrame.MicroSeconds,
    seconds=bt.TimeFrame.Seconds,
    minutes=bt.TimeFrame.Minutes,
    days=bt.TimeFrame.Days,
    weeks=bt.TimeFrame.Weeks,
    months=bt.TimeFrame.Months,
    years=bt.TimeFrame.Years,
)


def btrun(pargs=''):
    args = parse_args(pargs)

    if args.flush:
        import backtrader.utils.flushfile

    stdstats = not args.nostdstats

    cer_kwargs_str = args.cerebro
    cer_kwargs = eval('dict(' + cer_kwargs_str + ')')
    if 'stdstats' not in cer_kwargs:
        cer_kwargs.update(stdstats=stdstats)

    cerebro = bt.Cerebro(**cer_kwargs)

    if args.resample is not None or args.replay is not None:
        if args.resample is not None:
            tfcp = args.resample.split(':')
        elif args.replay is not None:
            tfcp = args.replay.split(':')

        # compression may be skipped and it will default to 1
        if len(tfcp) == 1 or tfcp[1] == '':
            tf, cp = tfcp[0], 1
        else:
            tf, cp = tfcp

        cp = int(cp)  # convert any value to int
        tf = TIMEFRAMES.get(tf, None)

    for data in getdatas(args):
        if args.resample is not None:
            cerebro.resampledata(data, timeframe=tf, compression=cp)
        elif args.replay is not None:
            cerebro.replaydata(data, timeframe=tf, compression=cp)
        else:
            cerebro.adddata(data)

    # get and add signals
    signals = getobjects(args.signals, bt.Indicator, bt.signals, issignal=True)
    for sig, kwargs, sigtype in signals:
        stype = getattr(bt.signal, 'SIGNAL_' + sigtype.upper())
        cerebro.add_signal(stype, sig, **kwargs)

    # get and add strategies
    strategies = getobjects(args.strategies, bt.Strategy, bt.strategies)
    for strat, kwargs in strategies:
        cerebro.addstrategy(strat, **kwargs)

    inds = getobjects(args.indicators, bt.Indicator, bt.indicators)
    for ind, kwargs in inds:
        cerebro.addindicator(ind, **kwargs)

    obs = getobjects(args.observers, bt.Observer, bt.observers)
    for ob, kwargs in obs:
        cerebro.addobserver(ob, **kwargs)

    ans = getobjects(args.analyzers, bt.Analyzer, bt.analyzers)
    for an, kwargs in ans:
        cerebro.addanalyzer(an, **kwargs)

    setbroker(args, cerebro)

    for wrkwargs_str in args.writers or []:
        wrkwargs = eval('dict(' + wrkwargs_str + ')')
        cerebro.addwriter(bt.WriterFile, **wrkwargs)

    ans = getfunctions(args.hooks, bt.Cerebro)
    for hook, kwargs in ans:
        hook(cerebro, **kwargs)
    runsts = cerebro.run()
    runst = runsts[0]  # single strategy and no optimization

    if args.pranalyzer or args.ppranalyzer:
        if runst.analyzers:
            print('====================')
            print('== Analyzers')
            print('====================')
            for name, analyzer in runst.analyzers.getitems():
                if args.pranalyzer:
                    analyzer.print()
                elif args.ppranalyzer:
                    print('##########')
                    print(name)
                    print('##########')
                    analyzer.pprint()

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:
            # evaluates to True but is not "True" - args were passed
            ekwargs = eval('dict(' + args.plot + ')')
            pkwargs.update(ekwargs)

        # cerebro.plot(numfigs=args.plotfigs, style=args.plotstyle)
        cerebro.plot(**pkwargs)


def setbroker(args, cerebro):
    broker = cerebro.getbroker()

    if args.cash is not None:
        broker.setcash(args.cash)

    commkwargs = dict()
    if args.commission is not None:
        commkwargs['commission'] = args.commission
    if args.margin is not None:
        commkwargs['margin'] = args.margin
    if args.mult is not None:
        commkwargs['mult'] = args.mult
    if args.interest is not None:
        commkwargs['interest'] = args.interest
    if args.interest_long is not None:
        commkwargs['interest_long'] = args.interest_long

    if commkwargs:
        broker.setcommission(**commkwargs)

    if args.slip_perc is not None:
        cerebro.broker.set_slippage_perc(args.slip_perc,
                                         slip_open=args.slip_open,
                                         slip_match=not args.no_slip_match,
                                         slip_out=args.slip_out)
    elif args.slip_fixed is not None:
        cerebro.broker.set_slippage_fixed(args.slip_fixed,
                                          slip_open=args.slip_open,
                                          slip_match=not args.no_slip_match,
                                          slip_out=args.slip_out)


def getdatas(args):
    # Get the data feed class from the global dictionary
    dfcls = DATAFORMATS[args.format]

    # Prepare some args
    dfkwargs = dict()
    if args.format == 'yahoo_unreversed':
        dfkwargs['reverse'] = True

    fmtstr = '%Y-%m-%d'
    if args.fromdate:
        dtsplit = args.fromdate.split('T')
        if len(dtsplit) > 1:
            fmtstr += 'T%H:%M:%S'

        fromdate = datetime.datetime.strptime(args.fromdate, fmtstr)
        dfkwargs['fromdate'] = fromdate

    fmtstr = '%Y-%m-%d'
    if args.todate:
        dtsplit = args.todate.split('T')
        if len(dtsplit) > 1:
            fmtstr += 'T%H:%M:%S'
        todate = datetime.datetime.strptime(args.todate, fmtstr)
        dfkwargs['todate'] = todate

    if args.timeframe is not None:
        dfkwargs['timeframe'] = TIMEFRAMES[args.timeframe]

    if args.compression is not None:
        dfkwargs['compression'] = args.compression

    datas = list()
    for dname in args.data:
        dfkwargs['dataname'] = dname
        data = dfcls(**dfkwargs)
        datas.append(data)

    return datas


def getmodclasses(mod, clstype, clsname=None):
    clsmembers = inspect.getmembers(mod, inspect.isclass)

    clslist = list()
    for name, cls in clsmembers:
        if not issubclass(cls, clstype):
            continue

        if clsname:
            if clsname == name:
                clslist.append(cls)
                break
        else:
            clslist.append(cls)

    return clslist


def getmodfunctions(mod, funcname=None):
    members = inspect.getmembers(mod, inspect.isfunction) + \
        inspect.getmembers(mod, inspect.ismethod)

    funclist = list()
    for name, member in members:
        if funcname:
            if name == funcname:
                funclist.append(member)
                break
        else:
            funclist.append(member)

    return funclist


def loadmodule(modpath, modname=''):
    # generate a random name for the module

    if not modpath.endswith('.py'):
        modpath += '.py'

    if not modname:
        chars = string.ascii_uppercase + string.digits
        modname = ''.join(random.choice(chars) for _ in range(10))

    version = (sys.version_info[0], sys.version_info[1])

    if version < (3, 3):
        mod, e = loadmodule2(modpath, modname)
    else:
        mod, e = loadmodule3(modpath, modname)

    return mod, e


def loadmodule2(modpath, modname):
    import imp

    try:
        mod = imp.load_source(modname, modpath)
    except Exception as e:
        return (None, e)

    return (mod, None)


def loadmodule3(modpath, modname):
    import importlib.machinery

    try:
        loader = importlib.machinery.SourceFileLoader(modname, modpath)
        mod = loader.load_module()
    except Exception as e:
        return (None, e)

    return (mod, None)


def getobjects(iterable, clsbase, modbase, issignal=False):
    retobjects = list()

    for item in iterable or []:
        if issignal:
            sigtokens = item.split('+', 1)
            if len(sigtokens) == 1:  # no + seen
                sigtype = 'longshort'
            else:
                sigtype, item = sigtokens

        tokens = item.split(':', 1)

        if len(tokens) == 1:
            modpath = tokens[0]
            name = ''
            kwargs = dict()
        else:
            modpath, name = tokens
            kwtokens = name.split(':', 1)
            if len(kwtokens) == 1:
                # no '(' found
                kwargs = dict()
            else:
                name = kwtokens[0]
                kwtext = 'dict(' + kwtokens[1] + ')'
                kwargs = eval(kwtext)

        if modpath:
            mod, e = loadmodule(modpath)

            if not mod:
                print('')
                print('Failed to load module %s:' % modpath, e)
                sys.exit(1)
        else:
            mod = modbase

        loaded = getmodclasses(mod=mod, clstype=clsbase, clsname=name)

        if not loaded:
            print('No class %s / module %s' % (str(name), modpath))
            sys.exit(1)

        if issignal:
            retobjects.append((loaded[0], kwargs, sigtype))
        else:
            retobjects.append((loaded[0], kwargs))

    return retobjects

def getfunctions(iterable, modbase):
    retfunctions = list()

    for item in iterable or []:
        tokens = item.split(':', 1)

        if len(tokens) == 1:
            modpath = tokens[0]
            name = ''
            kwargs = dict()
        else:
            modpath, name = tokens
            kwtokens = name.split(':', 1)
            if len(kwtokens) == 1:
                # no '(' found
                kwargs = dict()
            else:
                name = kwtokens[0]
                kwtext = 'dict(' + kwtokens[1] + ')'
                kwargs = eval(kwtext)

        if modpath:
            mod, e = loadmodule(modpath)

            if not mod:
                print('')
                print('Failed to load module %s:' % modpath, e)
                sys.exit(1)
        else:
            mod = modbase

        loaded = getmodfunctions(mod=mod, funcname=name)

        if not loaded:
            print('No function %s / module %s' % (str(name), modpath))
            sys.exit(1)

        retfunctions.append((loaded[0], kwargs))

    return retfunctions


def parse_args(pargs=''):
    parser = argparse.ArgumentParser(
        description='Backtrader Run Script',
        formatter_class=argparse.RawTextHelpFormatter,
    )

    group = parser.add_argument_group(title='Data options')
    # Data options
    group.add_argument('--data', '-d', action='append', required=True,
                       help='Data files to be added to the system')

    group = parser.add_argument_group(title='Cerebro options')
    group.add_argument(
        '--cerebro', '-cer',
        metavar='kwargs',
        required=False, const='', default='', nargs='?',
        help=('The argument can be specified with the following form:\n'
              '\n'
              '  - kwargs\n'
              '\n'
              '    Example: "preload=True" which set its to True\n'
              '\n'
              'The passed kwargs will be passed directly to the cerebro\n'
              'instance created for the execution\n'
              '\n'
              'The available kwargs to cerebro are:\n'
              '  - preload (default: True)\n'
              '  - runonce (default: True)\n'
              '  - maxcpus (default: None)\n'
              '  - stdstats (default: True)\n'
              '  - live (default: False)\n'
              '  - exactbars (default: False)\n'
              '  - preload (default: True)\n'
              '  - writer (default False)\n'
              '  - oldbuysell (default False)\n'
              '  - tradehistory (default False)\n')
    )

    group.add_argument('--nostdstats', action='store_true',
                       help='Disable the standard statistics observers')

    datakeys = list(DATAFORMATS)
    group.add_argument('--format', '--csvformat', '-c', required=False,
                       default='btcsv', choices=datakeys,
                       help='CSV Format')

    group.add_argument('--fromdate', '-f', required=False, default=None,
                       help='Starting date in YYYY-MM-DD[THH:MM:SS] format')

    group.add_argument('--todate', '-t', required=False, default=None,
                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')

    group.add_argument('--timeframe', '-tf', required=False, default='days',
                       choices=TIMEFRAMES.keys(),
                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')

    group.add_argument('--compression', '-cp', required=False, default=1,
                       type=int,
                       help='Ending date in YYYY-MM-DD[THH:MM:SS] format')

    group = parser.add_mutually_exclusive_group(required=False)

    group.add_argument('--resample', '-rs', required=False, default=None,
                       help='resample with timeframe:compression values')

    group.add_argument('--replay', '-rp', required=False, default=None,
                       help='replay with timeframe:compression values')

    group.add_argument(
        '--hook', dest='hooks',
        action='append', required=False,
        metavar='module:hookfunction:kwargs',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - module:hookfunction:kwargs\n'
              '\n'
              '    Example: mymod:myhook:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'If module is omitted then hookfunction will be sought\n'
              'as the built-in cerebro method. Example:\n'
              '\n'
              '  - :addtz:tz=America/St_Johns\n'
              '\n'
              'If name is omitted, then the 1st function found in the\n'
              'mod will be used. Such as in:\n'
              '\n'
              '  - module or module::kwargs\n'
              '\n'
              'The function specified will be called, with cerebro\n'
              'instance passed as the first argument together with\n'
              'kwargs, if any were specified. This allows to customize\n'
              'cerebro, beyond options provided by this script\n\n')
    )

    # Module where to read the strategy from
    group = parser.add_argument_group(title='Strategy options')
    group.add_argument(
        '--strategy', '-st', dest='strategies',
        action='append', required=False,
        metavar='module:name:kwargs',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - module:classname:kwargs\n'
              '\n'
              '    Example: mymod:myclass:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'If module is omitted then class name will be sought in\n'
              'the built-in strategies module. Such as in:\n'
              '\n'
              '  - :name:kwargs or :name\n'
              '\n'
              'If name is omitted, then the 1st strategy found in the mod\n'
              'will be used. Such as in:\n'
              '\n'
              '  - module or module::kwargs')
    )

    # Module where to read the strategy from
    group = parser.add_argument_group(title='Signals')
    group.add_argument(
        '--signal', '-sig', dest='signals',
        action='append', required=False,
        metavar='module:signaltype:name:kwargs',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - signaltype:module:signaltype:classname:kwargs\n'
              '\n'
              '    Example: longshort+mymod:myclass:a=1,b=2\n'
              '\n'
              'signaltype may be ommited: longshort will be used\n'
              '\n'
              '    Example: mymod:myclass:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'signaltype will be uppercased to match the defintions\n'
              'fromt the backtrader.signal module\n'
              '\n'
              'If module is omitted then class name will be sought in\n'
              'the built-in signals module. Such as in:\n'
              '\n'
              '  - LONGSHORT::name:kwargs or :name\n'
              '\n'
              'If name is omitted, then the 1st signal found in the mod\n'
              'will be used. Such as in:\n'
              '\n'
              '  - module or module:::kwargs')
    )

    # Observers
    group = parser.add_argument_group(title='Observers and statistics')
    group.add_argument(
        '--observer', '-ob', dest='observers',
        action='append', required=False,
        metavar='module:name:kwargs',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - module:classname:kwargs\n'
              '\n'
              '    Example: mymod:myclass:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'If module is omitted then class name will be sought in\n'
              'the built-in observers module. Such as in:\n'
              '\n'
              '  - :name:kwargs or :name\n'
              '\n'
              'If name is omitted, then the 1st observer found in the\n'
              'will be used. Such as in:\n'
              '\n'
              '  - module or module::kwargs')
    )
    # Analyzers
    group = parser.add_argument_group(title='Analyzers')
    group.add_argument(
        '--analyzer', '-an', dest='analyzers',
        action='append', required=False,
        metavar='module:name:kwargs',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - module:classname:kwargs\n'
              '\n'
              '    Example: mymod:myclass:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'If module is omitted then class name will be sought in\n'
              'the built-in analyzers module. Such as in:\n'
              '\n'
              '  - :name:kwargs or :name\n'
              '\n'
              'If name is omitted, then the 1st analyzer found in the\n'
              'will be used. Such as in:\n'
              '\n'
              '  - module or module::kwargs')
    )

    # Analyzer - Print
    group = parser.add_mutually_exclusive_group(required=False)
    group.add_argument('--pranalyzer', '-pralyzer',
                       required=False, action='store_true',
                       help=('Automatically print analyzers'))

    group.add_argument('--ppranalyzer', '-ppralyzer',
                       required=False, action='store_true',
                       help=('Automatically PRETTY print analyzers'))

    # Indicators
    group = parser.add_argument_group(title='Indicators')
    group.add_argument(
        '--indicator', '-ind', dest='indicators',
        metavar='module:name:kwargs',
        action='append', required=False,
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - module:classname:kwargs\n'
              '\n'
              '    Example: mymod:myclass:a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'If module is omitted then class name will be sought in\n'
              'the built-in analyzers module. Such as in:\n'
              '\n'
              '  - :name:kwargs or :name\n'
              '\n'
              'If name is omitted, then the 1st analyzer found in the\n'
              'will be used. Such as in:\n'
              '\n'
              '  - module or module::kwargs')
    )

    # Writer
    group = parser.add_argument_group(title='Writers')
    group.add_argument(
        '--writer', '-wr',
        dest='writers', metavar='kwargs', nargs='?',
        action='append', required=False, const='',
        help=('This option can be specified multiple times.\n'
              '\n'
              'The argument can be specified with the following form:\n'
              '\n'
              '  - kwargs\n'
              '\n'
              '    Example: a=1,b=2\n'
              '\n'
              'kwargs is optional\n'
              '\n'
              'It creates a system wide writer which outputs run data\n'
              '\n'
              'Please see the documentation for the available kwargs')
    )

    # Broker/Commissions
    group = parser.add_argument_group(title='Cash and Commission Scheme Args')
    group.add_argument('--cash', '-cash', required=False, type=float,
                       help='Cash to set to the broker')
    group.add_argument('--commission', '-comm', required=False, type=float,
                       help='Commission value to set')
    group.add_argument('--margin', '-marg', required=False, type=float,
                       help='Margin type to set')
    group.add_argument('--mult', '-mul', required=False, type=float,
                       help='Multiplier to use')

    group.add_argument('--interest', required=False, type=float,
                       default=None,
                       help='Credit Interest rate to apply (0.0x)')

    group.add_argument('--interest_long', action='store_true',
                       required=False, default=None,
                       help='Apply credit interest to long positions')

    group.add_argument('--slip_perc', required=False, default=None,
                       type=float,
                       help='Enable slippage with a percentage value')
    group.add_argument('--slip_fixed', required=False, default=None,
                       type=float,
                       help='Enable slippage with a fixed point value')

    group.add_argument('--slip_open', required=False, action='store_true',
                       help='enable slippage for when matching opening prices')

    group.add_argument('--no-slip_match', required=False, action='store_true',
                       help=('Disable slip_match, ie: matching capped at \n'
                             'high-low if slippage goes over those limits'))
    group.add_argument('--slip_out', required=False, action='store_true',
                       help='with slip_match enabled, match outside high-low')

    # Output flushing
    group.add_argument('--flush', required=False, action='store_true',
                       help='flush the output - useful under win32 systems')

    # Plot options
    parser.add_argument(
        '--plot', '-p', nargs='?',
        metavar='kwargs',
        default=False, const=True, required=False,
        help=('Plot the read data applying any kwargs passed\n'
              '\n'
              'For example:\n'
              '\n'
              '  --plot style="candle" (to plot candlesticks)\n')
    )

    if pargs:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    btrun()


================================================
FILE: backtrader/cerebro.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime
import collections
import itertools
import multiprocessing

try:  # For new Python versions
    collectionsAbc = collections.abc  # collections.Iterable -> collections.abc.Iterable
except AttributeError:  # For old Python versions
    collectionsAbc = collections  # Используем collections.Iterable

import backtrader as bt
from .utils.py3 import (map, range, zip, with_metaclass, string_types,
                        integer_types)

from . import linebuffer
from . import indicator
from .brokers import BackBroker
from .metabase import MetaParams
from . import observers
from .writer import WriterFile
from .utils import OrderedDict, tzparse, num2date, date2num
from .strategy import Strategy, SignalStrategy
from .tradingcal import (TradingCalendarBase, TradingCalendar,
                         PandasMarketCalendar)
from .timer import Timer

# Defined here to make it pickable. Ideally it could be defined inside Cerebro


class OptReturn(object):
    def __init__(self, params, **kwargs):
        self.p = self.params = params
        for k, v in kwargs.items():
            setattr(self, k, v)


class Cerebro(with_metaclass(MetaParams, object)):
    '''Params:

      - ``preload`` (default: ``True``)

        Whether to preload the different ``data feeds`` passed to cerebro for
        the Strategies

      - ``runonce`` (default: ``True``)

        Run ``Indicators`` in vectorized mode to speed up the entire system.
        Strategies and Observers will always be run on an event based basis

      - ``live`` (default: ``False``)

        If no data has reported itself as *live* (via the data's ``islive``
        method but the end user still want to run in ``live`` mode, this
        parameter can be set to true

        This will simultaneously deactivate ``preload`` and ``runonce``. It
        will have no effect on memory saving schemes.

        Run ``Indicators`` in vectorized mode to speed up the entire system.
        Strategies and Observers will always be run on an event based basis

      - ``maxcpus`` (default: None -> all available cores)

         How many cores to use simultaneously for optimization

      - ``stdstats`` (default: ``True``)

        If True default Observers will be added: Broker (Cash and Value),
        Trades and BuySell

      - ``oldbuysell`` (default: ``False``)

        If ``stdstats`` is ``True`` and observers are getting automatically
        added, this switch controls the main behavior of the ``BuySell``
        observer

        - ``False``: use the modern behavior in which the buy / sell signals
          are plotted below / above the low / high prices respectively to avoid
          cluttering the plot

        - ``True``: use the deprecated behavior in which the buy / sell signals
          are plotted where the average price of the order executions for the
          given moment in time is. This will of course be on top of an OHLC bar
          or on a Line on Cloe bar, difficulting the recognition of the plot.

      - ``oldtrades`` (default: ``False``)

        If ``stdstats`` is ``True`` and observers are getting automatically
        added, this switch controls the main behavior of the ``Trades``
        observer

        - ``False``: use the modern behavior in which trades for all datas are
          plotted with different markers

        - ``True``: use the old Trades observer which plots the trades with the
          same markers, differentiating only if they are positive or negative

      - ``exactbars`` (default: ``False``)

        With the default value each and every value stored in a line is kept in
        memory

        Possible values:
          - ``True`` or ``1``: all "lines" objects reduce memory usage to the
            automatically calculated minimum period.

            If a Simple Moving Average has a period of 30, the underlying data
            will have always a running buffer of 30 bars to allow the
            calculation of the Simple Moving Average

            - This setting will deactivate ``preload`` and ``runonce``
            - Using this setting also deactivates **plotting**

          - ``-1``: datafreeds and indicators/operations at strategy level will
            keep all data in memory.

            For example: a ``RSI`` internally uses the indicator ``UpDay`` to
            make calculations. This subindicator will not keep all data in
            memory

            - This allows to keep ``plotting`` and ``preloading`` active.

            - ``runonce`` will be deactivated

          - ``-2``: data feeds and indicators kept as attributes of the
            strategy will keep all points in memory.

            For example: a ``RSI`` internally uses the indicator ``UpDay`` to
            make calculations. This subindicator will not keep all data in
            memory

            If in the ``__init__`` something like
            ``a = self.data.close - self.data.high`` is defined, then ``a``
            will not keep all data in memory

            - This allows to keep ``plotting`` and ``preloading`` active.

            - ``runonce`` will be deactivated

      - ``objcache`` (default: ``False``)

        Experimental option to implement a cache of lines objects and reduce
        the amount of them. Example from UltimateOscillator::

          bp = self.data.close - TrueLow(self.data)
          tr = TrueRange(self.data)  # -> creates another TrueLow(self.data)

        If this is ``True`` the 2nd ``TrueLow(self.data)`` inside ``TrueRange``
        matches the signature of the one in the ``bp`` calculation. It will be
        reused.

        Corner cases may happen in which this drives a line object off its
        minimum period and breaks things and it is therefore disabled.

      - ``writer`` (default: ``False``)

        If set to ``True`` a default WriterFile will be created which will
        print to stdout. It will be added to the strategy (in addition to any
        other writers added by the user code)

      - ``tradehistory`` (default: ``False``)

        If set to ``True``, it will activate update event logging in each trade
        for all strategies. This can also be accomplished on a per strategy
        basis with the strategy method ``set_tradehistory``

      - ``optdatas`` (default: ``True``)

        If ``True`` and optimizing (and the system can ``preload`` and use
        ``runonce``, data preloading will be done only once in the main process
        to save time and resources.

        The tests show an approximate ``20%`` speed-up moving from a sample
        execution in ``83`` seconds to ``66``

      - ``optreturn`` (default: ``True``)

        If ``True`` the optimization results will not be full ``Strategy``
        objects (and all *datas*, *indicators*, *observers* ...) but and object
        with the following attributes (same as in ``Strategy``):

          - ``params`` (or ``p``) the strategy had for the execution
          - ``analyzers`` the strategy has executed

        In most occassions, only the *analyzers* and with which *params* are
        the things needed to evaluate a the performance of a strategy. If
        detailed analysis of the generated values for (for example)
        *indicators* is needed, turn this off

        The tests show a ``13% - 15%`` improvement in execution time. Combined
        with ``optdatas`` the total gain increases to a total speed-up of
        ``32%`` in an optimization run.

      - ``oldsync`` (default: ``False``)

        Starting with release 1.9.0.99 the synchronization of multiple datas
        (same or different timeframes) has been changed to allow datas of
        different lengths.

        If the old behavior with data0 as the master of the system is wished,
        set this parameter to true

      - ``tz`` (default: ``None``)

        Adds a global timezone for strategies. The argument ``tz`` can be

          - ``None``: in this case the datetime displayed by strategies will be
            in UTC, which has been always the standard behavior

          - ``pytz`` instance. It will be used as such to convert UTC times to
            the chosen timezone

          - ``string``. Instantiating a ``pytz`` instance will be attempted.

          - ``integer``. Use, for the strategy, the same timezone as the
            corresponding ``data`` in the ``self.datas`` iterable (``0`` would
            use the timezone from ``data0``)

      - ``cheat_on_open`` (default: ``False``)

        The ``next_open`` method of strategies will be called. This happens
        before ``next`` and before the broker has had a chance to evaluate
        orders. The indicators have not yet been recalculated. This allows
        issuing an orde which takes into account the indicators of the previous
        day but uses the ``open`` price for stake calculations

        For cheat_on_open order execution, it is also necessary to make the
        call ``cerebro.broker.set_coo(True)`` or instantite a broker with
        ``BackBroker(coo=True)`` (where *coo* stands for cheat-on-open) or set
        the ``broker_coo`` parameter to ``True``. Cerebro will do it
        automatically unless disabled below.

      - ``broker_coo`` (default: ``True``)

        This will automatically invoke the ``set_coo`` method of the broker
        with ``True`` to activate ``cheat_on_open`` execution. Will only do it
        if ``cheat_on_open`` is also ``True``

      - ``quicknotify`` (default: ``False``)

        Broker notifications are delivered right before the delivery of the
        *next* prices. For backtesting this has no implications, but with live
        brokers a notification can take place long before the bar is
        delivered. When set to ``True`` notifications will be delivered as soon
        as possible (see ``qcheck`` in live feeds)

        Set to ``False`` for compatibility. May be changed to ``True``

    '''

    params = (
        ('preload', True),
        ('runonce', True),
        ('maxcpus', None),
        ('stdstats', True),
        ('oldbuysell', False),
        ('oldtrades', False),
        ('lookahead', 0),
        ('exactbars', False),
        ('optdatas', True),
        ('optreturn', True),
        ('objcache', False),
        ('live', False),
        ('writer', False),
        ('tradehistory', False),
        ('oldsync', False),
        ('tz', None),
        ('cheat_on_open', False),
        ('broker_coo', True),
        ('quicknotify', False),
    )

    def __init__(self):
        self._dolive = False
        self._doreplay = False
        self._dooptimize = False
        self.stores = list()
        self.feeds = list()
        self.datas = list()
        self.datasbyname = collections.OrderedDict()
        self.strats = list()
        self.optcbs = list()  # holds a list of callbacks for opt strategies
        self.observers = list()
        self.analyzers = list()
        self.indicators = list()
        self.sizers = dict()
        self.writers = list()
        self.storecbs = list()
        self.datacbs = list()
        self.signals = list()
        self._signal_strat = (None, None, None)
        self._signal_concurrent = False
        self._signal_accumulate = False

        self._dataid = itertools.count(1)

        self._broker = BackBroker()
        self._broker.cerebro = self

        self._tradingcal = None  # TradingCalendar()

        self._pretimers = list()
        self._ohistory = list()
        self._fhistory = None

    @staticmethod
    def iterize(iterable):
        '''Handy function which turns things into things that can be iterated upon
        including iterables
        '''
        niterable = list()
        for elem in iterable:
            if isinstance(elem, string_types):
                elem = (elem,)
            elif not isinstance(elem, collectionsAbc.Iterable):  # Different functions will be called for different Python versions
                elem = (elem,)

            niterable.append(elem)

        return niterable

    def set_fund_history(self, fund):
        '''
        Add a history of orders to be directly executed in the broker for
        performance evaluation

          - ``fund``: is an iterable (ex: list, tuple, iterator, generator)
            in which each element will be also an iterable (with length) with
            the following sub-elements (2 formats are possible)

            ``[datetime, share_value, net asset value]``

            **Note**: it must be sorted (or produce sorted elements) by
              datetime ascending

            where:

              - ``datetime`` is a python ``date/datetime`` instance or a string
                with format YYYY-MM-DD[THH:MM:SS[.us]] where the elements in
                brackets are optional
              - ``share_value`` is an float/integer
              - ``net_asset_value`` is a float/integer
        '''
        self._fhistory = fund

    def add_order_history(self, orders, notify=True):
        '''
        Add a history of orders to be directly executed in the broker for
        performance evaluation

          - ``orders``: is an iterable (ex: list, tuple, iterator, generator)
            in which each element will be also an iterable (with length) with
            the following sub-elements (2 formats are possible)

            ``[datetime, size, price]`` or ``[datetime, size, price, data]``

            **Note**: it must be sorted (or produce sorted elements) by
              datetime ascending

            where:

              - ``datetime`` is a python ``date/datetime`` instance or a string
                with format YYYY-MM-DD[THH:MM:SS[.us]] where the elements in
                brackets are optional
              - ``size`` is an integer (positive to *buy*, negative to *sell*)
              - ``price`` is a float/integer
              - ``data`` if present can take any of the following values

                - *None* - The 1st data feed will be used as target
                - *integer* - The data with that index (insertion order in
                  **Cerebro**) will be used
                - *string* - a data with that name, assigned for example with
                  ``cerebro.addata(data, name=value)``, will be the target

          - ``notify`` (default: *True*)

            If ``True`` the 1st strategy inserted in the system will be
            notified of the artificial orders created following the information
            from each order in ``orders``

        **Note**: Implicit in the description is the need to add a data feed
          which is the target of the orders. This is for example needed by
          analyzers which track for example the returns
        '''
        self._ohistory.append((orders, notify))

    def notify_timer(self, timer, when, *args, **kwargs):
        '''Receives a timer notification where ``timer`` is the timer which was
        returned by ``add_timer``, and ``when`` is the calling time. ``args``
        and ``kwargs`` are any additional arguments passed to ``add_timer``

        The actual ``when`` time can be later, but the system may have not be
        able to call the timer before. This value is the timer value and no the
        system time.
        '''
        pass

    def _add_timer(self, owner, when,
                   offset=datetime.timedelta(), repeat=datetime.timedelta(),
                   weekdays=[], weekcarry=False,
                   monthdays=[], monthcarry=True,
                   allow=None,
                   tzdata=None, strats=False, cheat=False,
                   *args, **kwargs):
        '''Internal method to really create the timer (not started yet) which
        can be called by cerebro instances or other objects which can access
        cerebro'''

        timer = Timer(
            tid=len(self._pretimers),
            owner=owner, strats=strats,
            when=when, offset=offset, repeat=repeat,
            weekdays=weekdays, weekcarry=weekcarry,
            monthdays=monthdays, monthcarry=monthcarry,
            allow=allow,
            tzdata=tzdata, cheat=cheat,
            *args, **kwargs
        )

        self._pretimers.append(timer)
        return timer

    def add_timer(self, when,
                  offset=datetime.timedelta(), repeat=datetime.timedelta(),
                  weekdays=[], weekcarry=False,
                  monthdays=[], monthcarry=True,
                  allow=None,
                  tzdata=None, strats=False, cheat=False,
                  *args, **kwargs):
        '''
        Schedules a timer to invoke ``notify_timer``

        Arguments:

          - ``when``: can be

            - ``datetime.time`` instance (see below ``tzdata``)
            - ``bt.timer.SESSION_START`` to reference a session start
            - ``bt.timer.SESSION_END`` to reference a session end

         - ``offset`` which must be a ``datetime.timedelta`` instance

           Used to offset the value ``when``. It has a meaningful use in
           combination with ``SESSION_START`` and ``SESSION_END``, to indicated
           things like a timer being called ``15 minutes`` after the session
           start.

          - ``repeat`` which must be a ``datetime.timedelta`` instance

            Indicates if after a 1st call, further calls will be scheduled
            within the same session at the scheduled ``repeat`` delta

            Once the timer goes over the end of the session it is reset to the
            original value for ``when``

          - ``weekdays``: a **sorted** iterable with integers indicating on
            which days (iso codes, Monday is 1, Sunday is 7) the timers can
            be actually invoked

            If not specified, the timer will be active on all days

          - ``weekcarry`` (default: ``False``). If ``True`` and the weekday was
            not seen (ex: trading holiday), the timer will be executed on the
            next day (even if in a new week)

          - ``monthdays``: a **sorted** iterable with integers indicating on
            which days of the month a timer has to be executed. For example
            always on day *15* of the month

            If not specified, the timer will be active on all days

          - ``monthcarry`` (default: ``True``). If the day was not seen
            (weekend, trading holiday), the timer will be executed on the next
            available day.

          - ``allow`` (default: ``None``). A callback which receives a
            `datetime.date`` instance and returns ``True`` if the date is
            allowed for timers or else returns ``False``

          - ``tzdata`` which can be either ``None`` (default), a ``pytz``
            instance or a ``data feed`` instance.

            ``None``: ``when`` is interpreted at face value (which translates
            to handling it as if it where UTC even if it's not)

            ``pytz`` instance: ``when`` will be interpreted as being specified
            in the local time specified by the timezone instance.

            ``data feed`` instance: ``when`` will be interpreted as being
            specified in the local time specified by the ``tz`` parameter of
            the data feed instance.

            **Note**: If ``when`` is either ``SESSION_START`` or
              ``SESSION_END`` and ``tzdata`` is ``None``, the 1st *data feed*
              in the system (aka ``self.data0``) will be used as the reference
              to find out the session times.

          - ``strats`` (default: ``False``) call also the ``notify_timer`` of
            strategies

          - ``cheat`` (default ``False``) if ``True`` the timer will be called
            before the broker has a chance to evaluate the orders. This opens
            the chance to issue orders based on opening price for example right
            before the session starts
          - ``*args``: any extra args will be passed to ``notify_timer``

          - ``**kwargs``: any extra kwargs will be passed to ``notify_timer``

        Return Value:

          - The created timer

        '''
        return self._add_timer(
            owner=self, when=when, offset=offset, repeat=repeat,
            weekdays=weekdays, weekcarry=weekcarry,
            monthdays=monthdays, monthcarry=monthcarry,
            allow=allow,
            tzdata=tzdata, strats=strats, cheat=cheat,
            *args, **kwargs)

    def addtz(self, tz):
        '''
        This can also be done with the parameter ``tz``

        Adds a global timezone for strategies. The argument ``tz`` can be

          - ``None``: in this case the datetime displayed by strategies will be
            in UTC, which has been always the standard behavior

          - ``pytz`` instance. It will be used as such to convert UTC times to
            the chosen timezone

          - ``string``. Instantiating a ``pytz`` instance will be attempted.

          - ``integer``. Use, for the strategy, the same timezone as the
            corresponding ``data`` in the ``self.datas`` iterable (``0`` would
            use the timezone from ``data0``)

        '''
        self.p.tz = tz

    def addcalendar(self, cal):
        '''Adds a global trading calendar to the system. Individual data feeds
        may have separate calendars which override the global one

        ``cal`` can be an instance of ``TradingCalendar`` a string or an
        instance of ``pandas_market_calendars``. A string will be will be
        instantiated as a ``PandasMarketCalendar`` (which needs the module
        ``pandas_market_calendar`` installed in the system.

        If a subclass of `TradingCalendarBase` is passed (not an instance) it
        will be instantiated
        '''
        if isinstance(cal, string_types):
            cal = PandasMarketCalendar(calendar=cal)
        elif hasattr(cal, 'valid_days'):
            cal = PandasMarketCalendar(calendar=cal)

        else:
            try:
                if issubclass(cal, TradingCalendarBase):
                    cal = cal()
            except TypeError:  # already an instance
                pass

        self._tradingcal = cal

    def add_signal(self, sigtype, sigcls, *sigargs, **sigkwargs):
        '''Adds a signal to the system which will be later added to a
        ``SignalStrategy``'''
        self.signals.append((sigtype, sigcls, sigargs, sigkwargs))

    def signal_strategy(self, stratcls, *args, **kwargs):
        '''Adds a SignalStrategy subclass which can accept signals'''
        self._signal_strat = (stratcls, args, kwargs)

    def signal_concurrent(self, onoff):
        '''If signals are added to the system and the ``concurrent`` value is
        set to True, concurrent orders will be allowed'''
        self._signal_concurrent = onoff

    def signal_accumulate(self, onoff):
        '''If signals are added to the system and the ``accumulate`` value is
        set to True, entering the market when already in the market, will be
        allowed to increase a position'''
        self._signal_accumulate = onoff

    def addstore(self, store):
        '''Adds an ``Store`` instance to the if not already present'''
        if store not in self.stores:
            self.stores.append(store)

    def addwriter(self, wrtcls, *args, **kwargs):
        '''Adds an ``Writer`` class to the mix. Instantiation will be done at
        ``run`` time in cerebro
        '''
        self.writers.append((wrtcls, args, kwargs))

    def addsizer(self, sizercls, *args, **kwargs):
        '''Adds a ``Sizer`` class (and args) which is the default sizer for any
        strategy added to cerebro
        '''
        self.sizers[None] = (sizercls, args, kwargs)

    def addsizer_byidx(self, idx, sizercls, *args, **kwargs):
        '''Adds a ``Sizer`` class by idx. This idx is a reference compatible to
        the one returned by ``addstrategy``. Only the strategy referenced by
        ``idx`` will receive this size
        '''
        self.sizers[idx] = (sizercls, args, kwargs)

    def addindicator(self, indcls, *args, **kwargs):
        '''
        Adds an ``Indicator`` class to the mix. Instantiation will be done at
        ``run`` time in the passed strategies
        '''
        self.indicators.append((indcls, args, kwargs))

    def addanalyzer(self, ancls, *args, **kwargs):
        '''
        Adds an ``Analyzer`` class to the mix. Instantiation will be done at
        ``run`` time
        '''
        self.analyzers.append((ancls, args, kwargs))

    def addobserver(self, obscls, *args, **kwargs):
        '''
        Adds an ``Observer`` class to the mix. Instantiation will be done at
        ``run`` time
        '''
        self.observers.append((False, obscls, args, kwargs))

    def addobservermulti(self, obscls, *args, **kwargs):
        '''
        Adds an ``Observer`` class to the mix. Instantiation will be done at
        ``run`` time

        It will be added once per "data" in the system. A use case is a
        buy/sell observer which observes individual datas.

        A counter-example is the CashValue, which observes system-wide values
        '''
        self.observers.append((True, obscls, args, kwargs))

    def addstorecb(self, callback):
        '''Adds a callback to get messages which would be handled by the
        notify_store method

        The signature of the callback must support the following:

          - callback(msg, \*args, \*\*kwargs)

        The actual ``msg``, ``*args`` and ``**kwargs`` received are
        implementation defined (depend entirely on the *data/broker/store*) but
        in general one should expect them to be *printable* to allow for
        reception and experimentation.
        '''
        self.storecbs.append(callback)

    def _notify_store(self, msg, *args, **kwargs):
        for callback in self.storecbs:
            callback(msg, *args, **kwargs)

        self.notify_store(msg, *args, **kwargs)

    def notify_store(self, msg, *args, **kwargs):
        '''Receive store notifications in cerebro

        This method can be overridden in ``Cerebro`` subclasses

        The actual ``msg``, ``*args`` and ``**kwargs`` received are
        implementation defined (depend entirely on the *data/broker/store*) but
        in general one should expect them to be *printable* to allow for
        reception and experimentation.
        '''
        pass

    def _storenotify(self):
        for store in self.stores:
            for notif in store.get_notifications():
                msg, args, kwargs = notif

                self._notify_store(msg, *args, **kwargs)
                for strat in self.runningstrats:
                    strat.notify_store(msg, *args, **kwargs)

    def adddatacb(self, callback):
        '''Adds a callback to get messages which would be handled by the
        notify_data method

        The signature of the callback must support the following:

          - callback(data, status, \*args, \*\*kwargs)

        The actual ``*args`` and ``**kwargs`` received are implementation
        defined (depend entirely on the *data/broker/store*) but in general one
        should expect them to be *printable* to allow for reception and
        experimentation.
        '''
        self.datacbs.append(callback)

    def _datanotify(self):
        for data in self.datas:
            for notif in data.get_notifications():
                status, args, kwargs = notif
                self._notify_data(data, status, *args, **kwargs)
                for strat in self.runningstrats:
                    strat.notify_data(data, status, *args, **kwargs)

    def _notify_data(self, data, status, *args, **kwargs):
        for callback in self.datacbs:
            callback(data, status, *args, **kwargs)

        self.notify_data(data, status, *args, **kwargs)

    def notify_data(self, data, status, *args, **kwargs):
        '''Receive data notifications in cerebro

        This method can be overridden in ``Cerebro`` subclasses

        The actual ``*args`` and ``**kwargs`` received are
        implementation defined (depend entirely on the *data/broker/store*) but
        in general one should expect them to be *printable* to allow for
        reception and experimentation.
        '''
        pass

    def adddata(self, data, name=None):
        '''
        Adds a ``Data Feed`` instance to the mix.

        If ``name`` is not None it will be put into ``data._name`` which is
        meant for decoration/plotting purposes.
        '''
        if name is not None:
            data._name = name

        data._id = next(self._dataid)
        data.setenvironment(self)

        self.datas.append(data)
        self.datasbyname[data._name] = data
        feed = data.getfeed()
        if feed and feed not in self.feeds:
            self.feeds.append(feed)

        if data.islive():
            self._dolive = True

        return data

    def chaindata(self, *args, **kwargs):
        '''
        Chains several data feeds into one

        If ``name`` is passed as named argument and is not None it will be put
        into ``data._name`` which is meant for decoration/plotting purposes.

        If ``None``, then the name of the 1st data will be used
        '''
        dname = kwargs.pop('name', None)
        if dname is None:
            dname = args[0]._dataname
        d = bt.feeds.Chainer(dataname=dname, *args)
        self.adddata(d, name=dname)

        return d

    def rolloverdata(self, *args, **kwargs):
        '''Chains several data feeds into one

        If ``name`` is passed as named argument and is not None it will be put
        into ``data._name`` which is meant for decoration/plotting purposes.

        If ``None``, then the name of the 1st data will be used

        Any other kwargs will be passed to the RollOver class

        '''
        dname = kwargs.pop('name', None)
        if dname is None:
            dname = args[0]._dataname
        d = bt.feeds.RollOver(dataname=dname, *args, **kwargs)
        self.adddata(d, name=dname)

        return d

    def replaydata(self, dataname, name=None, **kwargs):
        '''
        Adds a ``Data Feed`` to be replayed by the system

        If ``name`` is not None it will be put into ``data._name`` which is
        meant for decoration/plotting purposes.

        Any other kwargs like ``timeframe``, ``compression``, ``todate`` which
        are supported by the replay filter will be passed transparently
        '''
        if any(dataname is x for x in self.datas):
            dataname = dataname.clone()

        dataname.replay(**kwargs)
        self.adddata(dataname, name=name)
        self._doreplay = True

        return dataname

    def resampledata(self, dataname, name=None, **kwargs):
        '''
        Adds a ``Data Feed`` to be resample by the system

        If ``name`` is not None it will be put into ``data._name`` which is
        meant for decoration/plotting purposes.

        Any other kwargs like ``timeframe``, ``compression``, ``todate`` which
        are supported by the resample filter will be passed transparently
        '''
        if any(dataname is x for x in self.datas):
            dataname = dataname.clone()

        dataname.resample(**kwargs)
        self.adddata(dataname, name=name)
        self._doreplay = True

        return dataname

    def optcallback(self, cb):
        '''
        Adds a *callback* to the list of callbacks that will be called with the
        optimizations when each of the strategies has been run

        The signature: cb(strategy)
        '''
        self.optcbs.append(cb)

    def optstrategy(self, strategy, *args, **kwargs):
        '''
        Adds a ``Strategy`` class to the mix for optimization. Instantiation
        will happen during ``run`` time.

        args and kwargs MUST BE iterables which hold the values to check.

        Example: if a Strategy accepts a parameter ``period``, for optimization
        purposes the call to ``optstrategy`` looks like:

          - cerebro.optstrategy(MyStrategy, period=(15, 25))

        This will execute an optimization for values 15 and 25. Whereas

          - cerebro.optstrategy(MyStrategy, period=range(15, 25))

        will execute MyStrategy with ``period`` values 15 -> 25 (25 not
        included, because ranges are semi-open in Python)

        If a parameter is passed but shall not be optimized the call looks
        like:

          - cerebro.optstrategy(MyStrategy, period=(15,))

        Notice that ``period`` is still passed as an iterable ... of just 1
        element

        ``backtrader`` will anyhow try to identify situations like:

          - cerebro.optstrategy(MyStrategy, period=15)

        and will create an internal pseudo-iterable if possible
        '''
        self._dooptimize = True
        args = self.iterize(args)
        optargs = itertools.product(*args)

        optkeys = list(kwargs)

        vals = self.iterize(kwargs.values())
        optvals = itertools.product(*vals)

        okwargs1 = map(zip, itertools.repeat(optkeys), optvals)

        optkwargs = map(dict, okwargs1)

        it = itertools.product([strategy], optargs, optkwargs)
        self.strats.append(it)

    def addstrategy(self, strategy, *args, **kwargs):
        '''
        Adds a ``Strategy`` class to the mix for a single pass run.
        Instantiation will happen during ``run`` time.

        args and kwargs will be passed to the strategy as they are during
        instantiation.

        Returns the index with which addition of other objects (like sizers)
        can be referenced
        '''
        self.strats.append([(strategy, args, kwargs)])
        return len(self.strats) - 1

    def setbroker(self, broker):
        '''
        Sets a specific ``broker`` instance for this strategy, replacing the
        one inherited from cerebro.
        '''
        self._broker = broker
        broker.cerebro = self
        return broker

    def getbroker(self):
        '''
        Returns the broker instance.

        This is also available as a ``property`` by the name ``broker``
        '''
        return self._broker

    broker = property(getbroker, setbroker)

    def plot(self, plotter=None, numfigs=1, iplot=True, start=None, end=None,
             width=16, height=9, dpi=300, tight=True, use=None,
             **kwargs):
        '''
        Plots the strategies inside cerebro

        If ``plotter`` is None a default ``Plot`` instance is created and
        ``kwargs`` are passed to it during instantiation.

        ``numfigs`` split the plot in the indicated number of charts reducing
        chart density if wished

        ``iplot``: if ``True`` and running in a ``notebook`` the charts will be
        displayed inline

        ``use``: set it to the name of the desired matplotlib backend. It will
        take precedence over ``iplot``

        ``start``: An index to the datetime line array of the strategy or a
        ``datetime.date``, ``datetime.datetime`` instance indicating the start
        of the plot

        ``end``: An index to the datetime line array of the strategy or a
        ``datetime.date``, ``datetime.datetime`` instance indicating the end
        of the plot

        ``width``: in inches of the saved figure

        ``height``: in inches of the saved figure

        ``dpi``: quality in dots per inches of the saved figure

        ``tight``: only save actual content and not the frame of the figure
        '''
        if self._exactbars > 0:
            return

        if not plotter:
            from . import plot
            if self.p.oldsync:
                plotter = plot.Plot_OldSync(**kwargs)
            else:
                plotter = plot.Plot(**kwargs)

        # pfillers = {self.datas[i]: self._plotfillers[i]
        # for i, x in enumerate(self._plotfillers)}

        # pfillers2 = {self.datas[i]: self._plotfillers2[i]
        # for i, x in enumerate(self._plotfillers2)}

        figs = []
        for stratlist in self.runstrats:
            for si, strat in enumerate(stratlist):
                rfig = plotter.plot(strat, figid=si * 100,
                                    numfigs=numfigs, iplot=iplot,
                                    start=start, end=end, use=use)
                # pfillers=pfillers2)

                figs.append(rfig)

            plotter.show()

        return figs

    def __call__(self, iterstrat):
        '''
        Used during optimization to pass the cerebro over the multiprocesing
        module without complains
        '''

        predata = self.p.optdatas and self._dopreload and self._dorunonce
        return self.runstrategies(iterstrat, predata=predata)

    def __getstate__(self):
        '''
        Used during optimization to prevent optimization result `runstrats`
        from being pickled to subprocesses
        '''

        rv = vars(self).copy()
        if 'runstrats' in rv:
            del(rv['runstrats'])
        return rv

    def runstop(self):
        '''If invoked from inside a strategy or anywhere else, including other
        threads the execution will stop as soon as possible.'''
        self._event_stop = True  # signal a stop has been requested

    def run(self, **kwargs):
        '''The core method to perform backtesting. Any ``kwargs`` passed to it
        will affect the value of the standard parameters ``Cerebro`` was
        instantiated with.

        If ``cerebro`` has not datas the method will immediately bail out.

        It has different return values:

          - For No Optimization: a list contanining instances of the Strategy
            classes added with ``addstrategy``

          - For Optimization: a list of lists which contain instances of the
            Strategy classes added with ``addstrategy``
        '''
        self._event_stop = False  # Stop is requested

        if not self.datas:
            return []  # nothing can be run

        pkeys = self.params._getkeys()
        for key, val in kwargs.items():
            if key in pkeys:
                setattr(self.params, key, val)

        # Manage activate/deactivate object cache
        linebuffer.LineActions.cleancache()  # clean cache
        indicator.Indicator.cleancache()  # clean cache

        linebuffer.LineActions.usecache(self.p.objcache)
        indicator.Indicator.usecache(self.p.objcache)

        self._dorunonce = self.p.runonce
        self._dopreload = self.p.preload
        self._exactbars = int(self.p.exactbars)

        if self._exactbars:
            self._dorunonce = False  # something is saving memory, no runonce
            self._dopreload = self._dopreload and self._exactbars < 1

        self._doreplay = self._doreplay or any(x.replaying for x in self.datas)
        if self._doreplay:
            # preloading is not supported with replay. full timeframe bars
            # are constructed in realtime
            self._dopreload = False

        if self._dolive or self.p.live:
            # in this case both preload and runonce must be off
            self._dorunonce = False
            self._dopreload = False

        self.runwriters = list()

        # Add the system default writer if requested
        if self.p.writer is True:
            wr = WriterFile()
            self.runwriters.append(wr)

        # Instantiate any other writers
        for wrcls, wrargs, wrkwargs in self.writers:
            wr = wrcls(*wrargs, **wrkwargs)
            self.runwriters.append(wr)

        # Write down if any writer wants the full csv output
        self.writers_csv = any(map(lambda x: x.p.csv, self.runwriters))

        self.runstrats = list()

        if self.signals:  # allow processing of signals
            signalst, sargs, skwargs = self._signal_strat
            if signalst is None:
                # Try to see if the 1st regular strategy is a signal strategy
                try:
                    signalst, sargs, skwargs = self.strats.pop(0)
                except IndexError:
                    pass  # Nothing there
                else:
                    if not isinstance(signalst, SignalStrategy):
                        # no signal ... reinsert at the beginning
                        self.strats.insert(0, (signalst, sargs, skwargs))
                        signalst = None  # flag as not presetn

            if signalst is None:  # recheck
                # Still None, create a default one
                signalst, sargs, skwargs = SignalStrategy, tuple(), dict()

            # Add the signal strategy
            self.addstrategy(signalst,
                             _accumulate=self._signal_accumulate,
                             _concurrent=self._signal_concurrent,
                             signals=self.signals,
                             *sargs,
                             **skwargs)

        if not self.strats:  # Datas are present, add a strategy
            self.addstrategy(Strategy)

        iterstrats = itertools.product(*self.strats)
        if not self._dooptimize or self.p.maxcpus == 1:
            # If no optimmization is wished ... or 1 core is to be used
            # let's skip process "spawning"
            for iterstrat in iterstrats:
                runstrat = self.runstrategies(iterstrat)
                self.runstrats.append(runstrat)
                if self._dooptimize:
                    for cb in self.optcbs:
                        cb(runstrat)  # callback receives finished strategy
        else:
            if self.p.optdatas and self._dopreload and self._dorunonce:
                for data in self.datas:
                    data.reset()
                    if self._exactbars < 1:  # datas can be full length
                        data.extend(size=self.params.lookahead)
                    data._start()
                    if self._dopreload:
                        data.preload()

            pool = multiprocessing.Pool(self.p.maxcpus or None)
            for r in pool.imap(self, iterstrats):
                self.runstrats.append(r)
                for cb in self.optcbs:
                    cb(r)  # callback receives finished strategy

            pool.close()

            if self.p.optdatas and self._dopreload and self._dorunonce:
                for data in self.datas:
                    data.stop()

        if not self._dooptimize:
            # avoid a list of list for regular cases
            return self.runstrats[0]

        return self.runstrats

    def _init_stcount(self):
        self.stcount = itertools.count(0)

    def _next_stid(self):
        return next(self.stcount)

    def runstrategies(self, iterstrat, predata=False):
        '''
        Internal method invoked by ``run``` to run a set of strategies
        '''
        self._init_stcount()

        self.runningstrats = runstrats = list()
        for store in self.stores:
            store.start()

        if self.p.cheat_on_open and self.p.broker_coo:
            # try to activate in broker
            if hasattr(self._broker, 'set_coo'):
                self._broker.set_coo(True)

        if self._fhistory is not None:
            self._broker.set_fund_history(self._fhistory)

        for orders, onotify in self._ohistory:
            self._broker.add_order_history(orders, onotify)

        self._broker.start()

        for feed in self.feeds:
            feed.start()

        if self.writers_csv:
            wheaders = list()
            for data in self.datas:
                if data.csv:
                    wheaders.extend(data.getwriterheaders())

            for writer in self.runwriters:
                if writer.p.csv:
                    writer.addheaders(wheaders)

        # self._plotfillers = [list() for d in self.datas]
        # self._plotfillers2 = [list() for d in self.datas]

        if not predata:
            for data in self.datas:
                data.reset()
                if self._exactbars < 1:  # datas can be full length
                    data.extend(size=self.params.lookahead)
                data._start()
                if self._dopreload:
                    data.preload()

        for stratcls, sargs, skwargs in iterstrat:
            sargs = self.datas + list(sargs)
            try:
                strat = stratcls(*sargs, **skwargs)
            except bt.errors.StrategySkipError:
                continue  # do not add strategy to the mix

            if self.p.oldsync:
                strat._oldsync = True  # tell strategy to use old clock update
            if self.p.tradehistory:
                strat.set_tradehistory()
            runstrats.append(strat)

        tz = self.p.tz
        if isinstance(tz, integer_types):
            tz = self.datas[tz]._tz
        else:
            tz = tzparse(tz)

        if runstrats:
            # loop separated for clarity
            defaultsizer = self.sizers.get(None, (None, None, None))
            for idx, strat in enumerate(runstrats):
                if self.p.stdstats:
                    strat._addobserver(False, observers.Broker)
                    if self.p.oldbuysell:
                        strat._addobserver(True, observers.BuySell)
                    else:
                        strat._addobserver(True, observers.BuySell,
                                           barplot=True)

                    if self.p.oldtrades or len(self.datas) == 1:
                        strat._addobserver(False, observers.Trades)
                    else:
                        strat._addobserver(False, observers.DataTrades)

                for multi, obscls, obsargs, obskwargs in self.observers:
                    strat._addobserver(multi, obscls, *obsargs, **obskwargs)

                for indcls, indargs, indkwargs in self.indicators:
                    strat._addindicator(indcls, *indargs, **indkwargs)

                for ancls, anargs, ankwargs in self.analyzers:
                    strat._addanalyzer(ancls, *anargs, **ankwargs)

                sizer, sargs, skwargs = self.sizers.get(idx, defaultsizer)
                if sizer is not None:
                    strat._addsizer(sizer, *sargs, **skwargs)

                strat._settz(tz)
                strat._start()

                for writer in self.runwriters:
                    if writer.p.csv:
                        writer.addheaders(strat.getwriterheaders())

            if not predata:
                for strat in runstrats:
                    strat.qbuffer(self._exactbars, replaying=self._doreplay)

            for writer in self.runwriters:
                writer.start()

            # Prepare timers
            self._timers = []
            self._timerscheat = []
            for timer in self._pretimers:
                # preprocess tzdata if needed
                timer.start(self.datas[0])

                if timer.params.cheat:
                    self._timerscheat.append(timer)
                else:
                    self._timers.append(timer)

            if self._dopreload and self._dorunonce:
                if self.p.oldsync:
                    self._runonce_old(runstrats)
                else:
                    self._runonce(runstrats)
            else:
                if self.p.oldsync:
                    self._runnext_old(runstrats)
                else:
                    self._runnext(runstrats)

            for strat in runstrats:
                strat._stop()

        self._broker.stop()

        if not predata:
            for data in self.datas:
                data.stop()

        for feed in self.feeds:
            feed.stop()

        for store in self.stores:
            store.stop()

        self.stop_writers(runstrats)

        if self._dooptimize and self.p.optreturn:
            # Results can be optimized
            results = list()
            for strat in runstrats:
                for a in strat.analyzers:
                    a.strategy = None
                    a._parent = None
                    for attrname in dir(a):
                        if attrname.startswith('data'):
                            setattr(a, attrname, None)

                oreturn = OptReturn(strat.params, analyzers=strat.analyzers, strategycls=type(strat))
                results.append(oreturn)

            return results

        return runstrats

    def stop_writers(self, runstrats):
        cerebroinfo = OrderedDict()
        datainfos = OrderedDict()

        for i, data in enumerate(self.datas):
            datainfos['Data%d' % i] = data.getwriterinfo()

        cerebroinfo['Datas'] = datainfos

        stratinfos = dict()
        for strat in runstrats:
            stname = strat.__class__.__name__
            stratinfos[stname] = strat.getwriterinfo()

        cerebroinfo['Strategies'] = stratinfos

        for writer in self.runwriters:
            writer.writedict(dict(Cerebro=cerebroinfo))
            writer.stop()

    def _brokernotify(self):
        '''
        Internal method which kicks the broker and delivers any broker
        notification to the strategy
        '''
        self._broker.next()
        while True:
            order = self._broker.get_notification()
            if order is None:
                break

            owner = order.owner
            if owner is None:
                owner = self.runningstrats[0]  # default

            owner._addnotification(order, quicknotify=self.p.quicknotify)

    def _runnext_old(self, runstrats):
        '''
        Actual implementation of run in full next mode. All objects have its
        ``next`` method invoke on each data arrival
        '''
        data0 = self.datas[0]
        d0ret = True
        while d0ret or d0ret is None:
            lastret = False
            # Notify anything from the store even before moving datas
            # because datas may not move due to an error reported by the store
            self._storenotify()
            if self._event_stop:  # stop if requested
                return
            self._datanotify()
            if self._event_stop:  # stop if requested
                return

            d0ret = data0.next()
            if d0ret:
                for data in self.datas[1:]:
                    if not data.next(datamaster=data0):  # no delivery
                        data._check(forcedata=data0)  # check forcing output
                        data.next(datamaster=data0)  # retry

            elif d0ret is None:
                # meant for things like live feeds which may not produce a bar
                # at the moment but need the loop to run for notifications and
                # getting resample and others to produce timely bars
                data0._check()
                for data in self.datas[1:]:
                    data._check()
            else:
                lastret = data0._last()
                for data in self.datas[1:]:
                    lastret += data._last(datamaster=data0)

                if not lastret:
                    # Only go extra round if something was changed by "lasts"
                    break

            # Datas may have generated a new notification after next
            self._datanotify()
            if self._event_stop:  # stop if requested
                return

            self._brokernotify()
            if self._event_stop:  # stop if requested
                return

            if d0ret or lastret:  # bars produced by data or filters
                for strat in runstrats:
                    strat._next()
                    if self._event_stop:  # stop if requested
                        return

                    self._next_writers(runstrats)

        # Last notification chance before stopping
        self._datanotify()
        if self._event_stop:  # stop if requested
            return
        self._storenotify()
        if self._event_stop:  # stop if requested
            return

    def _runonce_old(self, runstrats):
        '''
        Actual implementation of run in vector mode.
        Strategies are still invoked on a pseudo-event mode in which ``next``
        is called for each data arrival
        '''
        for strat in runstrats:
            strat._once()

        # The default once for strategies does nothing and therefore
        # has not moved forward all datas/indicators/observers that
        # were homed before calling once, Hence no "need" to do it
        # here again, because pointers are at 0
        data0 = self.datas[0]
        datas = self.datas[1:]
        for i in range(data0.buflen()):
            data0.advance()
            for data in datas:
                data.advance(datamaster=data0)

            self._brokernotify()
            if self._event_stop:  # stop if requested
                return

            for strat in runstrats:
                # data0.datetime[0] for compat. w/ new strategy's oncepost
                strat._oncepost(data0.datetime[0])
                if self._event_stop:  # stop if requested
                    return

                self._next_writers(runstrats)

    def _next_writers(self, runstrats):
        if not self.runwriters:
            return

        if self.writers_csv:
            wvalues = list()
            for data in self.datas:
                if data.csv:
                    wvalues.extend(data.getwritervalues())

            for strat in runstrats:
                wvalues.extend(strat.getwritervalues())

            for writer in self.runwriters:
                if writer.p.csv:
                    writer.addvalues(wvalues)

                    writer.next()

    def _disable_runonce(self):
        '''API for lineiterators to disable runonce (see HeikinAshi)'''
        self._dorunonce = False

    def _runnext(self, runstrats):
        '''
        Actual implementation of run in full next mode. All objects have its
        ``next`` method invoke on each data arrival
        '''
        datas = sorted(self.datas,
                       key=lambda x: (x._timeframe, x._compression))
        datas1 = datas[1:]
        data0 = datas[0]
        d0ret = True

        rs = [i for i, x in enumerate(datas) if x.resampling]
        rp = [i for i, x in enumerate(datas) if x.replaying]
        rsonly = [i for i, x in enumerate(datas)
                  if x.resampling and not x.replaying]
        onlyresample = len(datas) == len(rsonly)
        noresample = not rsonly

        clonecount = sum(d._clone for d in datas)
        ldatas = len(datas)
        ldatas_noclones = ldatas - clonecount
        lastqcheck = False
        dt0 = date2num(datetime.datetime.max) - 2  # default at max
        while d0ret or d0ret is None:
            # if any has live data in the buffer, no data will wait anything
            newqcheck = not any(d.haslivedata() for d in datas)
            if not newqcheck:
                # If no data has reached the live status or all, wait for
                # the next incoming data
                livecount = sum(d._laststatus == d.LIVE for d in datas)
                newqcheck = not livecount or livecount == ldatas_noclones

            lastret = False
            # Notify anything from the store even before moving datas
            # because datas may not move due to an error reported by the store
            self._storenotify()
            if self._event_stop:  # stop if requested
                return
            self._datanotify()
            if self._event_stop:  # stop if requested
                return

            # record starting time and tell feeds to discount the elapsed time
            # from the qcheck value
            drets = []
            qstart = datetime.datetime.utcnow()
            for d in datas:
                qlapse = datetime.datetime.utcnow() - qstart
                d.do_qcheck(newqcheck, qlapse.total_seconds())
                drets.append(d.next(ticks=False))

            d0ret = any((dret for dret in drets))
            if not d0ret and any((dret is None for dret in drets)):
                d0ret = None

            if d0ret:
                dts = []
                for i, ret in enumerate(drets):
                    dts.append(datas[i].datetime[0] if ret else None)

                # Get index to minimum datetime
                if onlyresample or noresample:
                    dt0 = min((d for d in dts if d is not None))
                else:
                    dt0 = min((d for i, d in enumerate(dts)
                               if d is not None and i not in rsonly))

                dmaster = datas[dts.index(dt0)]  # and timemaster
                self._dtmaster = dmaster.num2date(dt0)
                self._udtmaster = num2date(dt0)

                # slen = len(runstrats[0])
                # Try to get something for those that didn't return
                for i, ret in enumerate(drets):
                    if ret:  # dts already contains a valid datetime for this i
                        continue

                    # try to get a data by checking with a master
                    d = datas[i]
                    d._check(forcedata=dmaster)  # check to force output
                    if d.next(datamaster=dmaster, ticks=False):  # retry
                        dts[i] = d.datetime[0]  # good -> store
                        # self._plotfillers2[i].append(slen)  # mark as fill
                    else:
                        # self._plotfillers[i].append(slen)  # mark as empty
                        pass

                # make sure only those at dmaster level end up delivering
                for i, dti in enumerate(dts):
                    if dti is not None:
                        di = datas[i]
                        rpi = False and di.replaying   # to check behavior
                        if dti > dt0:
                            if not rpi:  # must see all ticks ...
                                di.rewind()  # cannot deliver yet
                            # self._plotfillers[i].append(slen)
                        elif not di.replaying:
                            # Replay forces tick fill, else force here
                            di._tick_fill(force=True)

                        # self._plotfillers2[i].append(slen)  # mark as fill

            elif d0ret is None:
                # meant for things like live feeds which may not produce a bar
                # at the moment but need the loop to run for notifications and
                # getting resample and others to produce timely bars
                for data in datas:
                    data._check()
            else:
                lastret = data0._last()
                for data in datas1:
                    lastret += data._last(datamaster=data0)

                if not lastret:
                    # Only go extra round if something was changed by "lasts"
                    break

            # Datas may have generated a new notification after next
            self._datanotify()
            if self._event_stop:  # stop if requested
                return

            if d0ret or lastret:  # if any bar, check timers before broker
                self._check_timers(runstrats, dt0, cheat=True)
                if self.p.cheat_on_open:
                    for strat in runstrats:
                        strat._next_open()
                        if self._event_stop:  # stop if requested
                            return

            self._brokernotify()
            if self._event_stop:  # stop if requested
                return

            if d0ret or lastret:  # bars produced by data or filters
                self._check_timers(runstrats, dt0, cheat=False)
                for strat in runstrats:
                    strat._next()
                    if self._event_stop:  # stop if requested
                        return

                    self._next_writers(runstrats)

        # Last notification chance before stopping
        self._datanotify()
        if self._event_stop:  # stop if requested
            return
        self._storenotify()
        if self._event_stop:  # stop if requested
            return

    def _runonce(self, runstrats):
        '''
        Actual implementation of run in vector mode.

        Strategies are still invoked on a pseudo-event mode in which ``next``
        is called for each data arrival
        '''
        for strat in runstrats:
            strat._once()
            strat.reset()  # strat called next by next - reset lines

        # The default once for strategies does nothing and therefore
        # has not moved forward all datas/indicators/observers that
        # were homed before calling once, Hence no "need" to do it
        # here again, because pointers are at 0
        datas = sorted(self.datas,
                       key=lambda x: (x._timeframe, x._compression))

        while True:
            # Check next incoming date in the datas
            dts = [d.advance_peek() for d in datas]
            dt0 = min(dts)
            if dt0 == float('inf'):
                break  # no data delivers anything

            # Timemaster if needed be
            # dmaster = datas[dts.index(dt0)]  # and timemaster
            slen = len(runstrats[0])
            for i, dti in enumerate(dts):
                if dti <= dt0:
                    datas[i].advance()
                    # self._plotfillers2[i].append(slen)  # mark as fill
                else:
                    # self._plotfillers[i].append(slen)
                    pass

            self._check_timers(runstrats, dt0, cheat=True)

            if self.p.cheat_on_open:
                for strat in runstrats:
                    strat._oncepost_open()
                    if self._event_stop:  # stop if requested
                        return

            self._brokernotify()
            if self._event_stop:  # stop if requested
                return

            self._check_timers(runstrats, dt0, cheat=False)

            for strat in runstrats:
                strat._oncepost(dt0)
                if self._event_stop:  # stop if requested
                    return

                self._next_writers(runstrats)

    def _check_timers(self, runstrats, dt0, cheat=False):
        timers = self._timers if not cheat else self._timerscheat
        for t in timers:
            if not t.check(dt0):
                continue

            t.params.owner.notify_timer(t, t.lastwhen, *t.args, **t.kwargs)

            if t.params.strats:
                for strat in runstrats:
                    strat.notify_timer(t, t.lastwhen, *t.args, **t.kwargs)


================================================
FILE: backtrader/comminfo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime

from .utils.py3 import with_metaclass
from .metabase import MetaParams


class CommInfoBase(with_metaclass(MetaParams)):
    '''Base Class for the Commission Schemes.

    Params:

      - ``commission`` (def: ``0.0``): base commission value in percentage or
        monetary units

      - ``mult`` (def ``1.0``): multiplier applied to the asset for
        value/profit

      - ``margin`` (def: ``None``): amount of monetary units needed to
        open/hold an operation. It only applies if the final ``_stocklike``
        attribute in the class is set to ``False``

      - ``automargin`` (def: ``False``): Used by the method ``get_margin``
        to automatically calculate the margin/guarantees needed with the
        following policy

          - Use param ``margin`` if param ``automargin`` evaluates to ``False``

          - Use param ``mult`` * ``price`` if ``automargin < 0``

          - Use param ``automargin`` * ``price`` if ``automargin > 0``

      - ``commtype`` (def: ``None``): Supported values are
        ``CommInfoBase.COMM_PERC`` (commission to be understood as %) and
        ``CommInfoBase.COMM_FIXED`` (commission to be understood as monetary
        units)

        The default value of ``None`` is a supported value to retain
        compatibility with the legacy ``CommissionInfo`` object. If
        ``commtype`` is set to None, then the following applies:

          - ``margin`` is ``None``: Internal ``_commtype`` is set to
            ``COMM_PERC`` and ``_stocklike`` is set to ``True`` (Operating
            %-wise with Stocks)

          - ``margin`` is not ``None``: ``_commtype`` set to ``COMM_FIXED`` and
            ``_stocklike`` set to ``False`` (Operating with fixed rount-trip
            commission with Futures)

        If this param is set to something else than ``None``, then it will be
        passed to the internal ``_commtype`` attribute and the same will be
        done with the param ``stocklike`` and the internal attribute
        ``_stocklike``

      - ``stocklike`` (def: ``False``): Indicates if the instrument is
        Stock-like or Futures-like (see the ``commtype`` discussion above)

      - ``percabs`` (def: ``False``): when ``commtype`` is set to COMM_PERC,
        whether the parameter ``commission`` has to be understood as XX% or
        0.XX

        If this param is ``True``: 0.XX
        If this param is ``False``: XX%

      - ``interest`` (def: ``0.0``)

        If this is non-zero, this is the yearly interest charged for holding a
        short selling position. This is mostly meant for stock short-selling

        The formula: ``days * price * abs(size) * (interest / 365)``

        It must be specified in absolute terms: 0.05 -> 5%

        .. note:: the behavior can be changed by overriding the method:
                 ``_get_credit_interest``

      - ``interest_long`` (def: ``False``)

        Some products like ETFs get charged on interest for short and long
        positions. If ths is ``True`` and ``interest`` is non-zero the interest
        will be charged on both directions

      - ``leverage`` (def: ``1.0``)

        Amount of leverage for the asset with regards to the needed cash

    Attributes:

      - ``_stocklike``: Final value to use for Stock-like/Futures-like behavior
      - ``_commtype``: Final value to use for PERC vs FIXED commissions

      This two are used internally instead of the declared params to enable the
      compatibility check described above for the legacy ``CommissionInfo``
      object

    '''

    COMM_PERC, COMM_FIXED = range(2)

    params = (
        ('commission', 0.0), ('mult', 1.0), ('margin', None),
        ('commtype', None),
        ('stocklike', False),
        ('percabs', False),
        ('interest', 0.0),
        ('interest_long', False),
        ('leverage', 1.0),
        ('automargin', False),
    )

    def __init__(self):
        super(CommInfoBase, self).__init__()

        self._stocklike = self.p.stocklike
        self._commtype = self.p.commtype

        # The intial block checks for the behavior of the original
        # CommissionInfo in which the commission scheme (perc/fixed) was
        # determined by parameter "margin" evaluating to False/True
        # If the parameter "commtype" is None, this behavior is emulated
        # else, the parameter values are used

        if self._commtype is None:  # original CommissionInfo behavior applies
            if self.p.margin:
                self._stocklike = False
                self._commtype = self.COMM_FIXED
            else:
                self._stocklike = True
                self._commtype = self.COMM_PERC

        if not self._stocklike and not self.p.margin:
            self.p.margin = 1.0  # avoid having None/0

        if self._commtype == self.COMM_PERC and not self.p.percabs:
            self.p.commission /= 100.0

        self._creditrate = self.p.interest / 365.0

    @property
    def margin(self):
        return self.p.margin

    @property
    def stocklike(self):
        return self._stocklike

    def get_margin(self, price):
        '''Returns the actual margin/guarantees needed for a single item of the
        asset at the given price. The default implementation has this policy:

          - Use param ``margin`` if param ``automargin`` evaluates to ``False``

          - Use param ``mult`` * ``price`` if ``automargin < 0``

          - Use param ``automargin`` * ``price`` if ``automargin > 0``
        '''
        if not self.p.automargin:
            return self.p.margin

        elif self.p.automargin < 0:
            return price * self.p.mult

        return price * self.p.automargin  # int/float expected

    def get_leverage(self):

        '''Returns the level of leverage allowed for this comission scheme'''
        return self.p.leverage

    def getsize(self, price, cash):
        '''Returns the needed size to meet a cash operation at a given price'''
        if not self._stocklike:
            return int(self.p.leverage * (cash // self.get_margin(price)))

        return int(self.p.leverage * (cash // price))

    def getoperationcost(self, size, price):
        '''Returns the needed amount of cash an operation would cost'''
        if not self._stocklike:
            return abs(size) * self.get_margin(price)

        return abs(size) * price

    def getvaluesize(self, size, price):
        '''Returns the value of size for given a price. For future-like
        objects it is fixed at size * margin'''
        if not self._stocklike:
            return abs(size) * self.get_margin(price)

        return size * price

    def getvalue(self, position, price):
        '''Returns the value of a position given a price. For future-like
        objects it is fixed at size * margin'''
        if not self._stocklike:
            return abs(position.size) * self.get_margin(price)

        size = position.size
        if size >= 0:
            return size * price

        # With stocks, a short position is worth more as the price goes down
        value = position.price * size  # original value
        value += (position.price - price) * size  # increased value
        return value

    def _getcommission(self, size, price, pseudoexec):
        '''Calculates the commission of an operation at a given price

        pseudoexec: if True the operation has not yet been executed
        '''
        if self._commtype == self.COMM_PERC:
            return abs(size) * self.p.commission * price

        return abs(size) * self.p.commission

    def getcommission(self, size, price):
        '''Calculates the commission of an operation at a given price
        '''
        return self._getcommission(size, price, pseudoexec=True)

    def confirmexec(self, size, price):
        return self._getcommission(size, price, pseudoexec=False)

    def profitandloss(self, size, price, newprice):
        '''Return actual profit and loss a position has'''
        return size * (newprice - price) * self.p.mult

    def cashadjust(self, size, price, newprice):
        '''Calculates cash adjustment for a given price difference'''
        if not self._stocklike:
            return size * (newprice - price) * self.p.mult

        return 0.0

    def get_credit_interest(self, data, pos, dt):
        '''Calculates the credit due for short selling or product specific'''
        size, price = pos.size, pos.price

        if size > 0 and not self.p.interest_long:
            return 0.0  # long positions not charged

        dt0 = dt.date()
        dt1 = pos.datetime.date()

        if dt0 <= dt1:
            return 0.0

        return self._get_credit_interest(data, size, price,
                                         (dt0 - dt1).days, dt0, dt1)

    def _get_credit_interest(self, data, size, price, days, dt0, dt1):
        '''
        This method returns  the cost in terms of credit interest charged by
        the broker.

        In the case of ``size > 0`` this method will only be called if the
        parameter to the class ``interest_long`` is ``True``

        The formulat for the calculation of the credit interest rate is:

          The formula: ``days * price * abs(size) * (interest / 365)``


        Params:
          - ``data``: data feed for which interest is charged

          - ``size``: current position size. > 0 for long positions and < 0 for
            short positions (this parameter will not be ``0``)

          - ``price``: current position price

          - ``days``: number of days elapsed since last credit calculation
            (this is (dt0 - dt1).days)

          - ``dt0``: (datetime.datetime) current datetime

          - ``dt1``: (datetime.datetime) datetime of previous calculation

        ``dt0`` and ``dt1`` are not used in the default implementation and are
        provided as extra input for overridden methods
        '''
        return days * self._creditrate * abs(size) * price


class CommissionInfo(CommInfoBase):
    '''Base Class for the actual Commission Schemes.

    CommInfoBase was created to keep suppor for the original, incomplete,
    support provided by *backtrader*. New commission schemes derive from this
    class which subclasses ``CommInfoBase``.

    The default value of ``percabs`` is also changed to ``True``

    Params:

      - ``percabs`` (def: True): when ``commtype`` is set to COMM_PERC, whether
        the parameter ``commission`` has to be understood as XX% or 0.XX

        If this param is True: 0.XX
        If this param is False: XX%

    '''
    params = (
        ('percabs', True),  # Original CommissionInfo took 0.xx for percentages
    )


================================================
FILE: backtrader/commissions/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from ..comminfo import CommInfoBase


class CommInfo(CommInfoBase):
    pass  # clone of CommissionInfo but with xx% instead of 0.xx


class CommInfo_Futures(CommInfoBase):
    params = (
        ('stocklike', False),
    )


class CommInfo_Futures_Perc(CommInfo_Futures):
    params = (
        ('commtype', CommInfoBase.COMM_PERC),
    )


class CommInfo_Futures_Fixed(CommInfo_Futures):
    params = (
        ('commtype', CommInfoBase.COMM_FIXED),
    )


class CommInfo_Stocks(CommInfoBase):
    params = (
        ('stocklike', True),
    )


class CommInfo_Stocks_Perc(CommInfo_Stocks):
    params = (
        ('commtype', CommInfoBase.COMM_PERC),
    )


class CommInfo_Stocks_Fixed(CommInfo_Stocks):
    params = (
        ('commtype', CommInfoBase.COMM_FIXED),
    )


================================================
FILE: backtrader/dataseries.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime as _datetime
from datetime import datetime
import inspect

from .utils.py3 import range, with_metaclass
from .lineseries import LineSeries
from .utils import AutoOrderedDict, OrderedDict, date2num


class TimeFrame(object):
    (Ticks, MicroSeconds, Seconds, Minutes,
     Days, Weeks, Months, Years, NoTimeFrame) = range(1, 10)

    Names = ['', 'Ticks', 'MicroSeconds', 'Seconds', 'Minutes',
             'Days', 'Weeks', 'Months', 'Years', 'NoTimeFrame']

    names = Names  # support old naming convention

    @classmethod
    def getname(cls, tframe, compression=None):
        tname = cls.Names[tframe]
        if compression > 1 or tname == cls.Names[-1]:
            return tname  # for plural or 'NoTimeFrame' return plain entry

        # return singular if compression is 1
        return cls.Names[tframe][:-1]

    @classmethod
    def TFrame(cls, name):
        return getattr(cls, name)

    @classmethod
    def TName(cls, tframe):
        return cls.Names[tframe]


class DataSeries(LineSeries):
    plotinfo = dict(plot=True, plotind=True, plotylimited=True)

    _name = ''
    _compression = 1
    _timeframe = TimeFrame.Days

    Close, Low, High, Open, Volume, OpenInterest, DateTime = range(7)

    LineOrder = [DateTime, Open, High, Low, Close, Volume, OpenInterest]

    def getwriterheaders(self):
        headers = [self._name, 'len']

        for lo in self.LineOrder:
            headers.append(self._getlinealias(lo))

        morelines = self.getlinealiases()[len(self.LineOrder):]
        headers.extend(morelines)

        return headers

    def getwritervalues(self):
        l = len(self)
        values = [self._name, l]

        if l:
            values.append(self.datetime.datetime(0))
            for line in self.LineOrder[1:]:
                values.append(self.lines[line][0])
            for i in range(len(self.LineOrder), self.lines.size()):
                values.append(self.lines[i][0])
        else:
            values.extend([''] * self.lines.size())  # no values yet

        return values

    def getwriterinfo(self):
        # returns dictionary with information
        info = OrderedDict()
        info['Name'] = self._name
        info['Timeframe'] = TimeFrame.TName(self._timeframe)
        info['Compression'] = self._compression

        return info


class OHLC(DataSeries):
    lines = ('close', 'low', 'high', 'open', 'volume', 'openinterest',)


class OHLCDateTime(OHLC):
    lines = (('datetime'),)


class SimpleFilterWrapper(object):
    '''Wrapper for filters added via .addfilter to turn them
    into processors.

    Filters are callables which

      - Take a ``data`` as an argument
      - Return False if the current bar has not triggered the filter
      - Return True if the current bar must be filtered

    The wrapper takes the return value and executes the bar removal
    if needed be
    '''
    def __init__(self, data, ffilter, *args, **kwargs):
        if inspect.isclass(ffilter):
            ffilter = ffilter(data, *args, **kwargs)
            args = []
            kwargs = {}

        self.ffilter = ffilter
        self.args = args
        self.kwargs = kwargs

    def __call__(self, data):
        if self.ffilter(data, *self.args, **self.kwargs):
            data.backwards()
            return True

        return False


class _Bar(AutoOrderedDict):
    '''
    This class is a placeholder for the values of the standard lines of a
    DataBase class (from OHLCDateTime)

    It inherits from AutoOrderedDict to be able to easily return the values as
    an iterable and address the keys as attributes

    Order of definition is important and must match that of the lines
    definition in DataBase (which directly inherits from OHLCDateTime)
    '''
    replaying = False

    # Without - 1 ... converting back to time will not work
    # Need another -1 to support timezones which may move the time forward
    MAXDATE = date2num(_datetime.datetime.max) - 2

    def __init__(self, maxdate=False):
        super(_Bar, self).__init__()
        self.bstart(maxdate=maxdate)

    def bstart(self, maxdate=False):
        '''Initializes a bar to the default not-updated vaues'''
        # Order is important: defined in DataSeries/OHLC/OHLCDateTime
        self.close = float('NaN')
        self.low = float('inf')
        self.high = float('-inf')
        self.open = float('NaN')
        self.volume = 0.0
        self.openinterest = 0.0
        self.datetime = self.MAXDATE if maxdate else None

    def isopen(self):
        '''Returns if a bar has already been updated

        Uses the fact that NaN is the value which is not equal to itself
        and ``open`` is initialized to NaN
        '''
        o = self.open
        return o == o  # False if NaN, True in other cases

    def bupdate(self, data, reopen=False):
        '''Updates a bar with the values from data

        Returns True if the update was the 1st on a bar (just opened)

        Returns False otherwise
        '''
        if reopen:
            self.bstart()

        self.datetime = data.datetime[0]

        self.high = max(self.high, data.high[0])
        self.low = min(self.low, data.low[0])
        self.close = data.close[0]

        self.volume += data.volume[0]
        self.openinterest = data.openinterest[0]

        o = self.open
        if reopen or not o == o:
            self.open = data.open[0]
            return True  # just opened the bar

        return False


================================================
FILE: backtrader/errors.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


__all__ = ['BacktraderError', 'StrategySkipError']


class BacktraderError(Exception):
    '''Base exception for all other exceptions'''
    pass


class StrategySkipError(BacktraderError):
    '''Requests the platform to skip this strategy for backtesting. To be
    raised during the initialization (``__init__``) phase of the instance'''
    pass


class ModuleImportError(BacktraderError):
    '''Raised if a class requests a module to be present to work and it cannot
    be imported'''
    def __init__(self, message, *args):
        super(ModuleImportError, self).__init__(message)
        self.args = args


class FromModuleImportError(ModuleImportError):
    '''Raised if a class requests a module to be present to work and it cannot
    be imported'''
    def __init__(self, message, *args):
        super(FromModuleImportError, self).__init__(message, *args)


================================================
FILE: backtrader/feed.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import datetime
import inspect
import io
import os.path

import backtrader as bt
from backtrader import (date2num, num2date, time2num, TimeFrame, dataseries,
                        metabase)

from backtrader.utils.py3 import with_metaclass, zip, range, string_types
from backtrader.utils import tzparse
from .dataseries import SimpleFilterWrapper
from .resamplerfilter import Resampler, Replayer
from .tradingcal import PandasMarketCalendar


class MetaAbstractDataBase(dataseries.OHLCDateTime.__class__):
    _indcol = dict()

    def __init__(cls, name, bases, dct):
        '''
        Class has already been created ... register subclasses
        '''
        # Initialize the class
        super(MetaAbstractDataBase, cls).__init__(name, bases, dct)

        if not cls.aliased and \
           name != 'DataBase' and not name.startswith('_'):
            cls._indcol[name] = cls

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaAbstractDataBase, cls).dopreinit(_obj, *args, **kwargs)

        # Find the owner and store it
        _obj._feed = metabase.findowner(_obj, FeedBase)

        _obj.notifs = collections.deque()  # store notifications for cerebro

        _obj._dataname = _obj.p.dataname
        _obj._name = ''
        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaAbstractDataBase, cls).dopostinit(_obj, *args, **kwargs)

        # Either set by subclass or the parameter or use the dataname (ticker)
        _obj._name = _obj._name or _obj.p.name
        if not _obj._name and isinstance(_obj.p.dataname, string_types):
            _obj._name = _obj.p.dataname
        _obj._compression = _obj.p.compression
        _obj._timeframe = _obj.p.timeframe

        if isinstance(_obj.p.sessionstart, datetime.datetime):
            _obj.p.sessionstart = _obj.p.sessionstart.time()

        elif _obj.p.sessionstart is None:
            _obj.p.sessionstart = datetime.time.min

        if isinstance(_obj.p.sessionend, datetime.datetime):
            _obj.p.sessionend = _obj.p.sessionend.time()

        elif _obj.p.sessionend is None:
            # remove 9 to avoid precision rounding errors
            _obj.p.sessionend = datetime.time(23, 59, 59, 999990)

        if isinstance(_obj.p.fromdate, datetime.date):
            # push it to the end of the day, or else intraday
            # values before the end of the day would be gone
            if not hasattr(_obj.p.fromdate, 'hour'):
                _obj.p.fromdate = datetime.datetime.combine(
                    _obj.p.fromdate, _obj.p.sessionstart)

        if isinstance(_obj.p.todate, datetime.date):
            # push it to the end of the day, or else intraday
            # values before the end of the day would be gone
            if not hasattr(_obj.p.todate, 'hour'):
                _obj.p.todate = datetime.datetime.combine(
                    _obj.p.todate, _obj.p.sessionend)

        _obj._barstack = collections.deque()  # for filter operations
        _obj._barstash = collections.deque()  # for filter operations

        _obj._filters = list()
        _obj._ffilters = list()
        for fp in _obj.p.filters:
            if inspect.isclass(fp):
                fp = fp(_obj)
                if hasattr(fp, 'last'):
                    _obj._ffilters.append((fp, [], {}))

            _obj._filters.append((fp, [], {}))

        return _obj, args, kwargs


class AbstractDataBase(with_metaclass(MetaAbstractDataBase,
                                      dataseries.OHLCDateTime)):

    params = (
        ('dataname', None),
        ('name', ''),
        ('compression', 1),
        ('timeframe', TimeFrame.Days),
        ('fromdate', None),
        ('todate', None),
        ('sessionstart', None),
        ('sessionend', None),
        ('filters', []),
        ('tz', None),
        ('tzinput', None),
        ('qcheck', 0.0),  # timeout in seconds (float) to check for events
        ('calendar', None),
    )

    (CONNECTED, DISCONNECTED, CONNBROKEN, DELAYED,
     LIVE, NOTSUBSCRIBED, NOTSUPPORTED_TF, UNKNOWN) = range(8)

    _NOTIFNAMES = [
        'CONNECTED', 'DISCONNECTED', 'CONNBROKEN', 'DELAYED',
        'LIVE', 'NOTSUBSCRIBED', 'NOTSUPPORTED_TIMEFRAME', 'UNKNOWN']

    @classmethod
    def _getstatusname(cls, status):
        return cls._NOTIFNAMES[status]

    _compensate = None
    _feed = None
    _store = None

    _clone = False
    _qcheck = 0.0

    _tmoffset = datetime.timedelta()

    # Set to non 0 if resampling/replaying
    resampling = 0
    replaying = 0

    _started = False

    def _start_finish(self):
        # A live feed (for example) may have learnt something about the
        # timezones after the start and that's why the date/time related
        # parameters are converted at this late stage
        # Get the output timezone (if any)
        self._tz = self._gettz()
        # Lines have already been create, set the tz
        self.lines.datetime._settz(self._tz)

        # This should probably be also called from an override-able method
        self._tzinput = bt.utils.date.Localizer(self._gettzinput())

        # Convert user input times to the output timezone (or min/max)
        if self.p.fromdate is None:
            self.fromdate = float('-inf')
        else:
            self.fromdate = self.date2num(self.p.fromdate)

        if self.p.todate is None:
            self.todate = float('inf')
        else:
            self.todate = self.date2num(self.p.todate)

        # FIXME: These two are never used and could be removed
        self.sessionstart = time2num(self.p.sessionstart)
        self.sessionend = time2num(self.p.sessionend)

        self._calendar = cal = self.p.calendar
        if cal is None:
            self._calendar = self._env._tradingcal
        elif isinstance(cal, string_types):
            self._calendar = PandasMarketCalendar(calendar=cal)

        self._started = True

    def _start(self):
        self.start()

        if not self._started:
            self._start_finish()

    def _timeoffset(self):
        return self._tmoffset

    def _getnexteos(self):
        '''Returns the next eos using a trading calendar if available'''
        if self._clone:
            return self.data._getnexteos()

        if not len(self):
            return datetime.datetime.min, 0.0

        dt = self.lines.datetime[0]
        dtime = num2date(dt)
        if self._calendar is None:
            nexteos = datetime.datetime.combine(dtime, self.p.sessionend)
            nextdteos = self.date2num(nexteos)  # locl'ed -> utc-like
            nexteos = num2date(nextdteos)  # utc
            while dtime > nexteos:
                nexteos += datetime.timedelta(days=1)  # already utc-like

            nextdteos = date2num(nexteos)  # -> utc-like

        else:
            # returns times in utc
            _, nexteos = self._calendar.schedule(dtime, self._tz)
            nextdteos = date2num(nexteos)  # nextos is already utc

        return nexteos, nextdteos

    def _gettzinput(self):
        '''Can be overriden by classes to return a timezone for input'''
        return tzparse(self.p.tzinput)

    def _gettz(self):
        '''To be overriden by subclasses which may auto-calculate the
        timezone'''
        return tzparse(self.p.tz)

    def date2num(self, dt):
        if self._tz is not None:
            return date2num(self._tz.localize(dt))

        return date2num(dt)

    def num2date(self, dt=None, tz=None, naive=True):
        if dt is None:
            return num2date(self.lines.datetime[0], tz or self._tz, naive)

        return num2date(dt, tz or self._tz, naive)

    def haslivedata(self):
        return False  # must be overriden for those that can

    def do_qcheck(self, onoff, qlapse):
        # if onoff is True the data will wait p.qcheck for incoming live data
        # on its queue.
        qwait = self.p.qcheck if onoff else 0.0
        qwait = max(0.0, qwait - qlapse)
        self._qcheck = qwait

    def islive(self):
        '''If this returns True, ``Cerebro`` will deactivate ``preload`` and
        ``runonce`` because a live data source must be fetched tick by tick (or
        bar by bar)'''
        return False

    def put_notification(self, status, *args, **kwargs):
        '''Add arguments to notification queue'''
        if self._laststatus != status:
            self.notifs.append((status, args, kwargs))
            self._laststatus = status

    def get_notifications(self):
        '''Return the pending "store" notifications'''
        # The background thread could keep on adding notifications. The None
        # mark allows to identify which is the last notification to deliver
        self.notifs.append(None)  # put a mark
        notifs = list()
        while True:
            notif = self.notifs.popleft()
            if notif is None:  # mark is reached
                break
            notifs.append(notif)

        return notifs

    def getfeed(self):
        return self._feed

    def qbuffer(self, savemem=0, replaying=False):
        extrasize = self.resampling or replaying
        for line in self.lines:
            line.qbuffer(savemem=savemem, extrasize=extrasize)

    def start(self):
        self._barstack = collections.deque()
        self._barstash = collections.deque()
        self._laststatus = self.CONNECTED

    def stop(self):
        pass

    def clone(self, **kwargs):
        return DataClone(dataname=self, **kwargs)

    def copyas(self, _dataname, **kwargs):
        d = DataClone(dataname=self, **kwargs)
        d._dataname = _dataname
        d._name = _dataname
        return d

    def setenvironment(self, env):
        '''Keep a reference to the environment'''
        self._env = env

    def getenvironment(self):
        return self._env

    def addfilter_simple(self, f, *args, **kwargs):
        fp = SimpleFilterWrapper(self, f, *args, **kwargs)
        self._filters.append((fp, fp.args, fp.kwargs))

    def addfilter(self, p, *args, **kwargs):
        if inspect.isclass(p):
            pobj = p(self, *args, **kwargs)
            self._filters.append((pobj, [], {}))

            if hasattr(pobj, 'last'):
                self._ffilters.append((pobj, [], {}))

        else:
            self._filters.append((p, args, kwargs))

    def compensate(self, other):
        '''Call it to let the broker know that actions on this asset will
        compensate open positions in another'''

        self._compensate = other

    def _tick_nullify(self):
        # These are the updating prices in case the new bar is "updated"
        # and the length doesn't change like if a replay is happening or
        # a real-time data feed is in use and 1 minutes bars are being
        # constructed with 5 seconds updates
        for lalias in self.getlinealiases():
            if lalias != 'datetime':
                setattr(self, 'tick_' + lalias, None)

        self.tick_last = None

    def _tick_fill(self, force=False):
        # If nothing filled the tick_xxx attributes, the bar is the tick
        alias0 = self._getlinealias(0)
        if force or getattr(self, 'tick_' + alias0, None) is None:
            for lalias in self.getlinealiases():
                if lalias != 'datetime':
                    setattr(self, 'tick_' + lalias,
                            getattr(self.lines, lalias)[0])

            self.tick_last = getattr(self.lines, alias0)[0]

    def advance_peek(self):
        if len(self) < self.buflen():
            return self.lines.datetime[1]  # return the future

        return float('inf')  # max date else

    def advance(self, size=1, datamaster=None, ticks=True):
        if ticks:
            self._tick_nullify()

        # Need intercepting this call to support datas with
        # different lengths (timeframes)
        self.lines.advance(size)

        if datamaster is not None:
            if len(self) > self.buflen():
                # if no bar can be delivered, fill with an empty bar
                self.rewind()
                self.lines.forward()
                return

            if self.lines.datetime[0] > datamaster.lines.datetime[0]:
                self.lines.rewind()
            else:
                if ticks:
                    self._tick_fill()
        elif len(self) < self.buflen():
            # a resampler may have advance us past the last point
            if ticks:
                self._tick_fill()

    def next(self, datamaster=None, ticks=True):

        if len(self) >= self.buflen():
            if ticks:
                self._tick_nullify()

            # not preloaded - request next bar
            ret = self.load()
            if not ret:
                # if load cannot produce bars - forward the result
                return ret

            if datamaster is None:
                # bar is there and no master ... return load's result
                if ticks:
                    self._tick_fill()
                return ret
        else:
            self.advance(ticks=ticks)

        # a bar is "loaded" or was preloaded - index has been moved to it
        if datamaster is not None:
            # there is a time reference to check against
            if self.lines.datetime[0] > datamaster.lines.datetime[0]:
                # can't deliver new bar, too early, go back
                self.rewind()
                return False
            else:
                if ticks:
                    self._tick_fill()

        else:
            if ticks:
                self._tick_fill()

        # tell the world there is a bar (either the new or the previous
        return True

    def preload(self):
        while self.load():
            pass

        self._last()
        self.home()

    def _last(self, datamaster=None):
        # Last chance for filters to deliver something
        ret = 0
        for ff, fargs, fkwargs in self._ffilters:
            ret += ff.last(self, *fargs, **fkwargs)

        doticks = False
        if datamaster is not None and self._barstack:
            doticks = True

        while self._fromstack(forward=True):
            # consume bar(s) produced by "last"s - adding room
            pass

        if doticks:
            self._tick_fill()

        return bool(ret)

    def _check(self, forcedata=None):
        ret = 0
        for ff, fargs, fkwargs in self._filters:
            if not hasattr(ff, 'check'):
                continue
            ff.check(self, _forcedata=forcedata, *fargs, **fkwargs)

    def load(self):
        while True:
            # move data pointer forward for new bar
            self.forward()

            if self._fromstack():  # bar is available
                return True

            if not self._fromstack(stash=True):
                _loadret = self._load()
                if not _loadret:  # no bar use force to make sure in exactbars
                    # the pointer is undone this covers especially (but not
                    # uniquely) the case in which the last bar has been seen
                    # and a backwards would ruin pointer accounting in the
                    # "stop" method of the strategy
                    self.backwards(force=True)  # undo data pointer

                    # return the actual returned value which may be None to
                    # signal no bar is available, but the data feed is not
                    # done. False means game over
                    return _loadret

            # Get a reference to current loaded time
            dt = self.lines.datetime[0]

            # A bar has been loaded, adapt the time
            if self._tzinput:
                # Input has been converted at face value but it's not UTC in
                # the input stream
                dtime = num2date(dt)  # get it in a naive datetime
                # localize it
                dtime = self._tzinput.localize(dtime)  # pytz compatible-ized
                self.lines.datetime[0] = dt = date2num(dtime)  # keep UTC val

            # Check standard date from/to filters
            if dt < self.fromdate:
                # discard loaded bar and carry on
                self.backwards()
                continue
            if dt > self.todate:
                # discard loaded bar and break out
                self.backwards(force=True)
                break

            # Pass through filters
            retff = False
            for ff, fargs, fkwargs in self._filters:
                # previous filter may have put things onto the stack
                if self._barstack:
                    for i in range(len(self._barstack)):
                        self._fromstack(forward=True)
                        retff = ff(self, *fargs, **fkwargs)
                else:
                    retff = ff(self, *fargs, **fkwargs)

                if retff:  # bar removed from systemn
                    break  # out of the inner loop

            if retff:  # bar removed from system - loop to get new bar
                continue  # in the greater loop

            # Checks let the bar through ... notify it
            return True

        # Out of the loop ... no more bars or past todate
        return False

    def _load(self):
        return False

    def _add2stack(self, bar, stash=False):
        '''Saves given bar (list of values) to the stack for later retrieval'''
        if not stash:
            self._barstack.append(bar)
        else:
            self._barstash.append(bar)

    def _save2stack(self, erase=False, force=False, stash=False):
        '''Saves current bar to the bar stack for later retrieval

        Parameter ``erase`` determines removal from the data stream
        '''
        bar = [line[0] for line in self.itersize()]
        if not stash:
            self._barstack.append(bar)
        else:
            self._barstash.append(bar)

        if erase:  # remove bar if requested
            self.backwards(force=force)

    def _updatebar(self, bar, forward=False, ago=0):
        '''Load a value from the stack onto the lines to form the new bar

        Returns True if values are present, False otherwise
        '''
        if forward:
            self.forward()

        for line, val in zip(self.itersize(), bar):
            line[0 + ago] = val

    def _fromstack(self, forward=False, stash=False):
        '''Load a value from the stack onto the lines to form the new bar

        Returns True if values are present, False otherwise
        '''

        coll = self._barstack if not stash else self._barstash

        if coll:
            if forward:
                self.forward()

            for line, val in zip(self.itersize(), coll.popleft()):
                line[0] = val

            return True

        return False

    def resample(self, **kwargs):
        self.addfilter(Resampler, **kwargs)

    def replay(self, **kwargs):
        self.addfilter(Replayer, **kwargs)


class DataBase(AbstractDataBase):
    pass


class FeedBase(with_metaclass(metabase.MetaParams, object)):
    params = () + DataBase.params._gettuple()

    def __init__(self):
        self.datas = list()

    def start(self):
        for data in self.datas:
            data.start()

    def stop(self):
        for data in self.datas:
            data.stop()

    def getdata(self, dataname, name=None, **kwargs):
        for pname, pvalue in self.p._getitems():
            kwargs.setdefault(pname, getattr(self.p, pname))

        kwargs['dataname'] = dataname
        data = self._getdata(**kwargs)

        data._name = name

        self.datas.append(data)
        return data

    def _getdata(self, dataname, **kwargs):
        for pname, pvalue in self.p._getitems():
            kwargs.setdefault(pname, getattr(self.p, pname))

        kwargs['dataname'] = dataname
        return self.DataCls(**kwargs)


class MetaCSVDataBase(DataBase.__class__):
    def dopostinit(cls, _obj, *args, **kwargs):
        # Before going to the base class to make sure it overrides the default
        if not _obj.p.name and not _obj._name:
            _obj._name, _ = os.path.splitext(os.path.basename(_obj.p.dataname))

        _obj, args, kwargs = \
            super(MetaCSVDataBase, cls).dopostinit(_obj, *args, **kwargs)

        return _obj, args, kwargs


class CSVDataBase(with_metaclass(MetaCSVDataBase, DataBase)):
    '''
    Base class for classes implementing CSV DataFeeds

    The class takes care of opening the file, reading the lines and
    tokenizing them.

    Subclasses do only need to override:

      - _loadline(tokens)

    The return value of ``_loadline`` (True/False) will be the return value
    of ``_load`` which has been overriden by this base class
    '''

    f = None
    params = (('headers', True), ('separator', ','),)

    def start(self):
        super(CSVDataBase, self).start()

        if self.f is None:
            if hasattr(self.p.dataname, 'readline'):
                self.f = self.p.dataname
            else:
                # Let an exception propagate to let the caller know
                self.f = io.open(self.p.dataname, 'r')

        if self.p.headers:
            self.f.readline()  # skip the headers

        self.separator = self.p.separator

    def stop(self):
        super(CSVDataBase, self).stop()
        if self.f is not None:
            self.f.close()
            self.f = None

    def preload(self):
        while self.load():
            pass

        self._last()
        self.home()

        # preloaded - no need to keep the object around - breaks multip in 3.x
        self.f.close()
        self.f = None

    def _load(self):
        if self.f is None:
            return False

        # Let an exception propagate to let the caller know
        line = self.f.readline()

        if not line:
            return False

        line = line.rstrip('\n')
        linetokens = line.split(self.separator)
        return self._loadline(linetokens)

    def _getnextline(self):
        if self.f is None:
            return None

        # Let an exception propagate to let the caller know
        line = self.f.readline()

        if not line:
            return None

        line = line.rstrip('\n')
        linetokens = line.split(self.separator)
        return linetokens


class CSVFeedBase(FeedBase):
    params = (('basepath', ''),) + CSVDataBase.params._gettuple()

    def _getdata(self, dataname, **kwargs):
        return self.DataCls(dataname=self.p.basepath + dataname,
                            **self.p._getkwargs())


class DataClone(AbstractDataBase):
    _clone = True

    def __init__(self):
        self.data = self.p.dataname
        self._dataname = self.data._dataname

        # Copy date/session parameters
        self.p.fromdate = self.p.fromdate
        self.p.todate = self.p.todate
        self.p.sessionstart = self.data.p.sessionstart
        self.p.sessionend = self.data.p.sessionend

        self.p.timeframe = self.data.p.timeframe
        self.p.compression = self.data.p.compression

    def _start(self):
        # redefine to copy data bits from guest data
        self.start()

        # Copy tz infos
        self._tz = self.data._tz
        self.lines.datetime._settz(self._tz)

        self._calendar = self.data._calendar

        # input has already been converted by guest data
        self._tzinput = None  # no need to further converr

        # Copy dates/session infos
        self.fromdate = self.data.fromdate
        self.todate = self.data.todate

        # FIXME: if removed from guest, remove here too
        self.sessionstart = self.data.sessionstart
        self.sessionend = self.data.sessionend

    def start(self):
        super(DataClone, self).start()
        self._dlen = 0
        self._preloading = False

    def preload(self):
        self._preloading = True
        super(DataClone, self).preload()
        self.data.home()  # preloading data was pushed forward
        self._preloading = False

    def _load(self):
        # assumption: the data is in the system
        # simply copy the lines
        if self._preloading:
            # data is preloaded, we are preloading too, can move
            # forward until have full bar or data source is exhausted
            self.data.advance()
            if len(self.data) > self.data.buflen():
                return False

            for line, dline in zip(self.lines, self.data.lines):
                line[0] = dline[0]

            return True

        # Not preloading
        if not (len(self.data) > self._dlen):
            # Data not beyond last seen bar
            return False

        self._dlen += 1

        for line, dline in zip(self.lines, self.data.lines):
            line[0] = dline[0]

        return True

    def advance(self, size=1, datamaster=None, ticks=True):
        self._dlen += size
        super(DataClone, self).advance(size, datamaster, ticks=ticks)


================================================
FILE: backtrader/feeds/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .csvgeneric import *
from .btcsv import *
from .vchartcsv import *
from .vchart import *
from .yahoo import *
from .quandl import *
from .sierrachart import *
from .mt4csv import *
from .pandafeed import *
from .influxfeed import *
try:
    from .ibdata import *
except ImportError:
    pass  # The user may not have ibpy installed

try:
    from .vcdata import *
except ImportError:
    pass  # The user may not have something installed

try:
    from .oanda import OandaData
except ImportError:
    pass  # The user may not have something installed


from .vchartfile import VChartFile

from .rollover import RollOver
from .chainer import Chainer


================================================
FILE: backtrader/feeds/blaze.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from backtrader import date2num
import backtrader.feed as feed


class BlazeData(feed.DataBase):
    '''
    Support for `Blaze <blaze.pydata.org>`_ ``Data`` objects.

    Only numeric indices to columns are supported.

    Note:

      - The ``dataname`` parameter is a blaze ``Data`` object

      - A negative value in any of the parameters for the Data lines
        indicates it's not present in the DataFrame
        it is
    '''

    params = (
        # datetime must be present
        ('datetime', 0),
        # pass -1 for any of the following to indicate absence
        ('open', 1),
        ('high', 2),
        ('low', 3),
        ('close', 4),
        ('volume', 5),
        ('openinterest', 6),
    )

    datafields = [
        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'
    ]

    def start(self):
        super(BlazeData, self).start()

        # reset the iterator on each start
        self._rows = iter(self.p.dataname)

    def _load(self):
        try:
            row = next(self._rows)
        except StopIteration:
            return False

        # Set the standard datafields - except for datetime
        for datafield in self.datafields[1:]:
            # get the column index
            colidx = getattr(self.params, datafield)

            if colidx < 0:
                # column not present -- skip
                continue

            # get the line to be set
            line = getattr(self.lines, datafield)
            line[0] = row[colidx]

        # datetime - assumed blaze always serves a native datetime.datetime
        colidx = getattr(self.params, self.datafields[0])
        dt = row[colidx]
        dtnum = date2num(dt)

        # get the line to be set
        line = getattr(self.lines, self.datafields[0])
        line[0] = dtnum

        # Done ... return
        return True


================================================
FILE: backtrader/feeds/btcsv.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import date, datetime, time

from .. import feed
from ..utils import date2num


class BacktraderCSVData(feed.CSVDataBase):
    '''
    Parses a self-defined CSV Data used for testing.

    Specific parameters:

      - ``dataname``: The filename to parse or a file-like object
    '''

    def _loadline(self, linetokens):
        itoken = iter(linetokens)

        dttxt = next(itoken)  # Format is YYYY-MM-DD - skip char 4 and 7
        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))

        if len(linetokens) == 8:
            tmtxt = next(itoken)  # Format if present HH:MM:SS, skip 3 and 6
            tm = time(int(tmtxt[0:2]), int(tmtxt[3:5]), int(tmtxt[6:8]))
        else:
            tm = self.p.sessionend  # end of the session parameter

        self.lines.datetime[0] = date2num(datetime.combine(dt, tm))
        self.lines.open[0] = float(next(itoken))
        self.lines.high[0] = float(next(itoken))
        self.lines.low[0] = float(next(itoken))
        self.lines.close[0] = float(next(itoken))
        self.lines.volume[0] = float(next(itoken))
        self.lines.openinterest[0] = float(next(itoken))

        return True


class BacktraderCSV(feed.CSVFeedBase):
    DataCls = BacktraderCSVData


================================================
FILE: backtrader/feeds/chainer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from datetime import datetime

import backtrader as bt
from backtrader.utils.py3 import range


class MetaChainer(bt.DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaChainer, cls).__init__(name, bases, dct)

    def donew(cls, *args, **kwargs):
        '''Intercept const. to copy timeframe/compression from 1st data'''
        # Create the object and set the params in place
        _obj, args, kwargs = super(MetaChainer, cls).donew(*args, **kwargs)

        if args:
            _obj.p.timeframe = args[0]._timeframe
            _obj.p.compression = args[0]._compression

        return _obj, args, kwargs


class Chainer(bt.with_metaclass(MetaChainer, bt.DataBase)):
    '''Class that chains datas'''

    def islive(self):
        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce
        should be deactivated'''
        return True

    def __init__(self, *args):
        self._args = args

    def start(self):
        super(Chainer, self).start()
        for d in self._args:
            d.setenvironment(self._env)
            d._start()

        # put the references in a separate list to have pops
        self._ds = list(self._args)
        self._d = self._ds.pop(0) if self._ds else None
        self._lastdt = datetime.min

    def stop(self):
        super(Chainer, self).stop()
        for d in self._args:
            d.stop()

    def get_notifications(self):
        return [] if self._d is None else self._d.get_notifications()

    def _gettz(self):
        '''To be overriden by subclasses which may auto-calculate the
        timezone'''
        if self._args:
            return self._args[0]._gettz()
        return bt.utils.date.Localizer(self.p.tz)

    def _load(self):
        while self._d is not None:
            if not self._d.next():  # no values from current data source
                self._d = self._ds.pop(0) if self._ds else None
                continue

            # Cannot deliver a date equal or less than an alredy delivered
            dt = self._d.datetime.datetime()
            if dt <= self._lastdt:
                continue

            self._lastdt = dt

            for i in range(self._d.size()):
                self.lines[i][0] = self._d.lines[i][0]

            return True

        # Out of the loop -> self._d is None, no data feed to return from
        return False


================================================
FILE: backtrader/feeds/csvgeneric.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import datetime
import itertools

from .. import feed, TimeFrame
from ..utils import date2num
from ..utils.py3 import integer_types, string_types


class GenericCSVData(feed.CSVDataBase):
    '''Parses a CSV file according to the order and field presence defined by the
    parameters

    Specific parameters (or specific meaning):

      - ``dataname``: The filename to parse or a file-like object

      - The lines parameters (datetime, open, high ...) take numeric values

        A value of -1 indicates absence of that field in the CSV source

      - If ``time`` is present (parameter time >=0) the source contains
        separated fields for date and time, which will be combined

      - ``nullvalue``

        Value that will be used if a value which should be there is missing
        (the CSV field is empty)

      - ``dtformat``: Format used to parse the datetime CSV field. See the
        python strptime/strftime documentation for the format.

        If a numeric value is specified, it will be interpreted as follows

          - ``1``: The value is a Unix timestamp of type ``int`` representing
            the number of seconds since Jan 1st, 1970

          - ``2``: The value is a Unix timestamp of type ``float``

        If a **callable** is passed

          - it will accept a string and return a `datetime.datetime` python
            instance

      - ``tmformat``: Format used to parse the time CSV field if "present"
        (the default for the "time" CSV field is not to be present)

    '''

    params = (
        ('nullvalue', float('NaN')),
        ('dtformat', '%Y-%m-%d %H:%M:%S'),
        ('tmformat', '%H:%M:%S'),

        ('datetime', 0),
        ('time', -1),
        ('open', 1),
        ('high', 2),
        ('low', 3),
        ('close', 4),
        ('volume', 5),
        ('openinterest', 6),
    )

    def start(self):
        super(GenericCSVData, self).start()

        self._dtstr = False
        if isinstance(self.p.dtformat, string_types):
            self._dtstr = True
        elif isinstance(self.p.dtformat, integer_types):
            idt = int(self.p.dtformat)
            if idt == 1:
                self._dtconvert = lambda x: datetime.utcfromtimestamp(int(x))
            elif idt == 2:
                self._dtconvert = lambda x: datetime.utcfromtimestamp(float(x))

        else:  # assume callable
            self._dtconvert = self.p.dtformat

    def _loadline(self, linetokens):
        # Datetime needs special treatment
        dtfield = linetokens[self.p.datetime]
        if self._dtstr:
            dtformat = self.p.dtformat

            if self.p.time >= 0:
                # add time value and format if it's in a separate field
                dtfield += 'T' + linetokens[self.p.time]
                dtformat += 'T' + self.p.tmformat

            dt = datetime.strptime(dtfield, dtformat)
        else:
            dt = self._dtconvert(dtfield)

        if self.p.timeframe >= TimeFrame.Days:
            # check if the expected end of session is larger than parsed
            if self._tzinput:
                dtin = self._tzinput.localize(dt)  # pytz compatible-ized
            else:
                dtin = dt

            dtnum = date2num(dtin)  # utc'ize

            dteos = datetime.combine(dt.date(), self.p.sessionend)
            dteosnum = self.date2num(dteos)  # utc'ize

            if dteosnum > dtnum:
                self.lines.datetime[0] = dteosnum
            else:
                # Avoid reconversion if already converted dtin == dt
                self.l.datetime[0] = date2num(dt) if self._tzinput else dtnum
        else:
            self.lines.datetime[0] = date2num(dt)

        # The rest of the fields can be done with the same procedure
        for linefield in (x for x in self.getlinealiases() if x != 'datetime'):
            # Get the index created from the passed params
            csvidx = getattr(self.params, linefield)

            if csvidx is None or csvidx < 0:
                # the field will not be present, assignt the "nullvalue"
                csvfield = self.p.nullvalue
            else:
                # get it from the token
                csvfield = linetokens[csvidx]

            if csvfield == '':
                # if empty ... assign the "nullvalue"
                csvfield = self.p.nullvalue

            # get the corresponding line reference and set the value
            line = getattr(self.lines, linefield)
            line[0] = float(float(csvfield))

        return True


class GenericCSV(feed.CSVFeedBase):
    DataCls = GenericCSVData


================================================
FILE: backtrader/feeds/ibdata.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime

import backtrader as bt
from backtrader.feed import DataBase
from backtrader import TimeFrame, date2num, num2date
from backtrader.utils.py3 import (integer_types, queue, string_types,
                                  with_metaclass)
from backtrader.metabase import MetaParams
from backtrader.stores import ibstore


class MetaIBData(DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaIBData, cls).__init__(name, bases, dct)

        # Register with the store
        ibstore.IBStore.DataCls = cls


class IBData(with_metaclass(MetaIBData, DataBase)):
    '''Interactive Brokers Data Feed.

    Supports the following contract specifications in parameter ``dataname``:

          - TICKER  # Stock type and SMART exchange
          - TICKER-STK  # Stock and SMART exchange
          - TICKER-STK-EXCHANGE  # Stock
          - TICKER-STK-EXCHANGE-CURRENCY  # Stock

          - TICKER-CFD  # CFD and SMART exchange
          - TICKER-CFD-EXCHANGE  # CFD
          - TICKER-CDF-EXCHANGE-CURRENCY  # Stock

          - TICKER-IND-EXCHANGE  # Index
          - TICKER-IND-EXCHANGE-CURRENCY  # Index

          - TICKER-YYYYMM-EXCHANGE  # Future
          - TICKER-YYYYMM-EXCHANGE-CURRENCY  # Future
          - TICKER-YYYYMM-EXCHANGE-CURRENCY-MULT  # Future
          - TICKER-FUT-EXCHANGE-CURRENCY-YYYYMM-MULT # Future

          - TICKER-YYYYMM-EXCHANGE-CURRENCY-STRIKE-RIGHT  # FOP
          - TICKER-YYYYMM-EXCHANGE-CURRENCY-STRIKE-RIGHT-MULT  # FOP
          - TICKER-FOP-EXCHANGE-CURRENCY-YYYYMM-STRIKE-RIGHT # FOP
          - TICKER-FOP-EXCHANGE-CURRENCY-YYYYMM-STRIKE-RIGHT-MULT # FOP

          - CUR1.CUR2-CASH-IDEALPRO  # Forex

          - TICKER-YYYYMMDD-EXCHANGE-CURRENCY-STRIKE-RIGHT  # OPT
          - TICKER-YYYYMMDD-EXCHANGE-CURRENCY-STRIKE-RIGHT-MULT  # OPT
          - TICKER-OPT-EXCHANGE-CURRENCY-YYYYMMDD-STRIKE-RIGHT # OPT
          - TICKER-OPT-EXCHANGE-CURRENCY-YYYYMMDD-STRIKE-RIGHT-MULT # OPT

    Params:

      - ``sectype`` (default: ``STK``)

        Default value to apply as *security type* if not provided in the
        ``dataname`` specification

      - ``exchange`` (default: ``SMART``)

        Default value to apply as *exchange* if not provided in the
        ``dataname`` specification

      - ``currency`` (default: ``''``)

        Default value to apply as *currency* if not provided in the
        ``dataname`` specification

      - ``historical`` (default: ``False``)

        If set to ``True`` the data feed will stop after doing the first
        download of data.

        The standard data feed parameters ``fromdate`` and ``todate`` will be
        used as reference.

        The data feed will make multiple requests if the requested duration is
        larger than the one allowed by IB given the timeframe/compression
        chosen for the data.

      - ``what`` (default: ``None``)

        If ``None`` the default for different assets types will be used for
        historical data requests:

          - 'BID' for CASH assets
          - 'TRADES' for any other

        Use 'ASK' for the Ask quote of cash assets
        
        Check the IB API docs if another value is wished

      - ``rtbar`` (default: ``False``)

        If ``True`` the ``5 Seconds Realtime bars`` provided by Interactive
        Brokers will be used as the smalles tick. According to the
        documentation they correspond to real-time values (once collated and
        curated by IB)

        If ``False`` then the ``RTVolume`` prices will be used, which are based
        on receiving ticks. In the case of ``CASH`` assets (like for example
        EUR.JPY) ``RTVolume`` will always be used and from it the ``bid`` price
        (industry de-facto standard with IB according to the literature
        scattered over the Internet)

        Even if set to ``True``, if the data is resampled/kept to a
        timeframe/compression below Seconds/5, no real time bars will be used,
        because IB doesn't serve them below that level

      - ``qcheck`` (default: ``0.5``)

        Time in seconds to wake up if no data is received to give a chance to
        resample/replay packets properly and pass notifications up the chain

      - ``backfill_start`` (default: ``True``)

        Perform backfilling at the start. The maximum possible historical data
        will be fetched in a single request.

      - ``backfill`` (default: ``True``)

        Perform backfilling after a disconnection/reconnection cycle. The gap
        duration will be used to download the smallest possible amount of data

      - ``backfill_from`` (default: ``None``)

        An additional data source can be passed to do an initial layer of
        backfilling. Once the data source is depleted and if requested,
        backfilling from IB will take place. This is ideally meant to backfill
        from already stored sources like a file on disk, but not limited to.

      - ``latethrough`` (default: ``False``)

        If the data source is resampled/replayed, some ticks may come in too
        late for the already delivered resampled/replayed bar. If this is
        ``True`` those ticks will bet let through in any case.

        Check the Resampler documentation to see who to take those ticks into
        account.

        This can happen especially if ``timeoffset`` is set to ``False``  in
        the ``IBStore`` instance and the TWS server time is not in sync with
        that of the local computer

      - ``tradename`` (default: ``None``)
        Useful for some specific cases like ``CFD`` in which prices are offered
        by one asset and trading happens in a different onel

        - SPY-STK-SMART-USD -> SP500 ETF (will be specified as ``dataname``)

        - SPY-CFD-SMART-USD -> which is the corresponding CFD which offers not
          price tracking but in this case will be the trading asset (specified
          as ``tradename``)

    The default values in the params are the to allow things like ```TICKER``,
    to which the parameter ``sectype`` (default: ``STK``) and ``exchange``
    (default: ``SMART``) are applied.

    Some assets like ``AAPL`` need full specification including ``currency``
    (default: '') whereas others like ``TWTR`` can be simply passed as it is.

      - ``AAPL-STK-SMART-USD`` would be the full specification for dataname

        Or else: ``IBData`` as ``IBData(dataname='AAPL', currency='USD')``
        which uses the default values (``STK`` and ``SMART``) and overrides
        the currency to be ``USD``
    '''
    params = (
        ('sectype', 'STK'),  # usual industry value
        ('exchange', 'SMART'),  # usual industry value
        ('currency', ''),
        ('rtbar', False),  # use RealTime 5 seconds bars
        ('historical', False),  # only historical download
        ('what', None),  # historical - what to show
        ('useRTH', False),  # historical - download only Regular Trading Hours
        ('qcheck', 0.5),  # timeout in seconds (float) to check for events
        ('backfill_start', True),  # do backfilling at the start
        ('backfill', True),  # do backfilling when reconnecting
        ('backfill_from', None),  # additional data source to do backfill from
        ('latethrough', False),  # let late samples through
        ('tradename', None),  # use a different asset as order target
    )

    _store = ibstore.IBStore

    # Minimum size supported by real-time bars
    RTBAR_MINSIZE = (TimeFrame.Seconds, 5)

    # States for the Finite State Machine in _load
    _ST_FROM, _ST_START, _ST_LIVE, _ST_HISTORBACK, _ST_OVER = range(5)

    def _timeoffset(self):
        return self.ib.timeoffset()

    def _gettz(self):
        # If no object has been provided by the user and a timezone can be
        # found via contractdtails, then try to get it from pytz, which may or
        # may not be available.

        # The timezone specifications returned by TWS seem to be abbreviations
        # understood by pytz, but the full list which TWS may return is not
        # documented and one of the abbreviations may fail
        tzstr = isinstance(self.p.tz, string_types)
        if self.p.tz is not None and not tzstr:
            return bt.utils.date.Localizer(self.p.tz)

        if self.contractdetails is None:
            return None  # nothing can be done

        try:
            import pytz  # keep the import very local
        except ImportError:
            return None  # nothing can be done

        tzs = self.p.tz if tzstr else self.contractdetails.m_timeZoneId

        if tzs == 'CST':  # reported by TWS, not compatible with pytz. patch it
            tzs = 'CST6CDT'

        try:
            tz = pytz.timezone(tzs)
        except pytz.UnknownTimeZoneError:
            return None  # nothing can be done

        # contractdetails there, import ok, timezone found, return it
        return tz

    def islive(self):
        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce
        should be deactivated'''
        return not self.p.historical

    def __init__(self, **kwargs):
        self.ib = self._store(**kwargs)
        self.precontract = self.parsecontract(self.p.dataname)
        self.pretradecontract = self.parsecontract(self.p.tradename)

    def setenvironment(self, env):
        '''Receives an environment (cerebro) and passes it over to the store it
        belongs to'''
        super(IBData, self).setenvironment(env)
        env.addstore(self.ib)

    def parsecontract(self, dataname):
        '''Parses dataname generates a default contract'''
        # Set defaults for optional tokens in the ticker string
        if dataname is None:
            return None

        exch = self.p.exchange
        curr = self.p.currency
        expiry = ''
        strike = 0.0
        right = ''
        mult = ''

        # split the ticker string
        tokens = iter(dataname.split('-'))

        # Symbol and security type are compulsory
        symbol = next(tokens)
        try:
            sectype = next(tokens)
        except StopIteration:
            sectype = self.p.sectype

        # security type can be an expiration date
        if sectype.isdigit():
            expiry = sectype  # save the expiration ate

            if len(sectype) == 6:  # YYYYMM
                sectype = 'FUT'
            else:  # Assume OPTIONS - YYYYMMDD
                sectype = 'OPT'

        if sectype == 'CASH':  # need to address currency for Forex
            symbol, curr = symbol.split('.')

        # See if the optional tokens were provided
        try:
            exch = next(tokens)  # on exception it will be the default
            curr = next(tokens)  # on exception it will be the default

            if sectype == 'FUT':
                if not expiry:
                    expiry = next(tokens)
                mult = next(tokens)

                # Try to see if this is FOP - Futures on OPTIONS
                right = next(tokens)
                # if still here this is a FOP and not a FUT
                sectype = 'FOP'
                strike, mult = float(mult), ''  # assign to strike and void

                mult = next(tokens)  # try again to see if there is any

            elif sectype == 'OPT':
                if not expiry:
                    expiry = next(tokens)
                strike = float(next(tokens))  # on exception - default
                right = next(tokens)  # on exception it will be the default

                mult = next(tokens)  # ?? no harm in any case

        except StopIteration:
            pass

        # Make the initial contract
        precon = self.ib.makecontract(
            symbol=symbol, sectype=sectype, exch=exch, curr=curr,
            expiry=expiry, strike=strike, right=right, mult=mult)

        return precon

    def start(self):
        '''Starts the IB connecction and gets the real contract and
        contractdetails if it exists'''
        super(IBData, self).start()
        # Kickstart store and get queue to wait on
        self.qlive = self.ib.start(data=self)
        self.qhist = None

        self._usertvol = not self.p.rtbar
        tfcomp = (self._timeframe, self._compression)
        if tfcomp < self.RTBAR_MINSIZE:
            # Requested timeframe/compression not supported by rtbars
            self._usertvol = True

        self.contract = None
        self.contractdetails = None
        self.tradecontract = None
        self.tradecontractdetails = None

        if self.p.backfill_from is not None:
            self._state = self._ST_FROM
            self.p.backfill_from.setenvironment(self._env)
            self.p.backfill_from._start()
        else:
            self._state = self._ST_START  # initial state for _load
        self._statelivereconn = False  # if reconnecting in live state
        self._subcription_valid = False  # subscription state
        self._storedmsg = dict()  # keep pending live message (under None)

        if not self.ib.connected():
            return

        self.put_notification(self.CONNECTED)
        # get real contract details with real conId (contractId)
        cds = self.ib.getContractDetails(self.precontract, maxcount=1)
        if cds is not None:
            cdetails = cds[0]
            self.contract = cdetails.contractDetails.m_summary
            self.contractdetails = cdetails.contractDetails
        else:
            # no contract can be found (or many)
            self.put_notification(self.DISCONNECTED)
            return

        if self.pretradecontract is None:
            # no different trading asset - default to standard asset
            self.tradecontract = self.contract
            self.tradecontractdetails = self.contractdetails
        else:
            # different target asset (typical of some CDS products)
            # use other set of details
            cds = self.ib.getContractDetails(self.pretradecontract, maxcount=1)
            if cds is not None:
                cdetails = cds[0]
                self.tradecontract = cdetails.contractDetails.m_summary
                self.tradecontractdetails = cdetails.contractDetails
            else:
                # no contract can be found (or many)
                self.put_notification(self.DISCONNECTED)
                return

        if self._state == self._ST_START:
            self._start_finish()  # to finish initialization
            self._st_start()

    def stop(self):
        '''Stops and tells the store to stop'''
        super(IBData, self).stop()
        self.ib.stop()

    def reqdata(self):
        '''request real-time data. checks cash vs non-cash) and param useRT'''
        if self.contract is None or self._subcription_valid:
            return

        if self._usertvol:
            self.qlive = self.ib.reqMktData(self.contract, self.p.what)
        else:
            self.qlive = self.ib.reqRealTimeBars(self.contract)

        self._subcription_valid = True
        return self.qlive

    def canceldata(self):
        '''Cancels Market Data subscription, checking asset type and rtbar'''
        if self.contract is None:
            return

        if self._usertvol:
            self.ib.cancelMktData(self.qlive)
        else:
            self.ib.cancelRealTimeBars(self.qlive)

    def haslivedata(self):
        return bool(self._storedmsg or self.qlive)

    def _load(self):
        if self.contract is None or self._state == self._ST_OVER:
            return False  # nothing can be done

        while True:
            if self._state == self._ST_LIVE:
                try:
                    msg = (self._storedmsg.pop(None, None) or
                           self.qlive.get(timeout=self._qcheck))
                except queue.Empty:
                    if True:
                        return None

                # Code invalidated until further checking is done
                    if not self._statelivereconn:
                        return None  # indicate timeout situation

                    # Awaiting data and nothing came in - fake it up until now
                    dtend = self.num2date(date2num(datetime.datetime.utcnow()))
                    dtbegin = None
                    if len(self) > 1:
                        dtbegin = self.num2date(self.datetime[-1])

                    self.qhist = self.ib.reqHistoricalDataEx(
                        contract=self.contract,
                        enddate=dtend, begindate=dtbegin,
                        timeframe=self._timeframe,
                        compression=self._compression,
                        what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,
                        sessionend=self.p.sessionend)

                    if self._laststatus != self.DELAYED:
                        self.put_notification(self.DELAYED)

                    self._state = self._ST_HISTORBACK

                    self._statelivereconn = False
                    continue  # to reenter the loop and hit st_historback

                if msg is None:  # Conn broken during historical/backfilling
                    self._subcription_valid = False
                    self.put_notification(self.CONNBROKEN)
                    # Try to reconnect
                    if not self.ib.reconnect(resub=True):
                        self.put_notification(self.DISCONNECTED)
                        return False  # failed

                    self._statelivereconn = self.p.backfill
                    continue

                if msg == -354:
                    self.put_notification(self.NOTSUBSCRIBED)
                    return False

                elif msg == -1100:  # conn broken
                    # Tell to wait for a message to do a backfill
                    # self._state = self._ST_DISCONN
                    self._subcription_valid = False
                    self._statelivereconn = self.p.backfill
                    continue

                elif msg == -1102:  # conn broken/restored tickerId maintained
                    # The message may be duplicated
                    if not self._statelivereconn:
                        self._statelivereconn = self.p.backfill
                    continue

                elif msg == -1101:  # conn broken/restored tickerId gone
                    # The message may be duplicated
                    self._subcription_valid = False
                    if not self._statelivereconn:
                        self._statelivereconn = self.p.backfill
                        self.reqdata()  # resubscribe
                    continue

                elif msg == -10225:  # Bust event occurred, current subscription is deactivated.
                    self._subcription_valid = False
                    if not self._statelivereconn:
                        self._statelivereconn = self.p.backfill
                        self.reqdata()  # resubscribe
                    continue

                elif isinstance(msg, integer_types):
                    # Unexpected notification for historical data skip it
                    # May be a "not connected not yet processed"
                    self.put_notification(self.UNKNOWN, msg)
                    continue

                # Process the message according to expected return type
                if not self._statelivereconn:
                    if self._laststatus != self.LIVE:
                        if self.qlive.qsize() <= 1:  # very short live queue
                            self.put_notification(self.LIVE)

                    if self._usertvol:
                        ret = self._load_rtvolume(msg)
                    else:
                        ret = self._load_rtbar(msg)
                    if ret:
                        return True

                    # could not load bar ... go and get new one
                    continue

                # Fall through to processing reconnect - try to backfill
                self._storedmsg[None] = msg  # keep the msg

                # else do a backfill
                if self._laststatus != self.DELAYED:
                    self.put_notification(self.DELAYED)

                dtend = None
                if len(self) > 1:
                    # len == 1 ... forwarded for the 1st time
                    # get begin date in utc-like format like msg.datetime
                    dtbegin = num2date(self.datetime[-1])
                elif self.fromdate > float('-inf'):
                    dtbegin = num2date(self.fromdate)
                else:  # 1st bar and no begin set
                    # passing None to fetch max possible in 1 request
                    dtbegin = None

                dtend = msg.datetime if self._usertvol else msg.time

                self.qhist = self.ib.reqHistoricalDataEx(
                    contract=self.contract, enddate=dtend, begindate=dtbegin,
                    timeframe=self._timeframe, compression=self._compression,
                    what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,
                    sessionend=self.p.sessionend)

                self._state = self._ST_HISTORBACK
                self._statelivereconn = False  # no longer in live
                continue

            elif self._state == self._ST_HISTORBACK:
                msg = self.qhist.get()
                if msg is None:  # Conn broken during historical/backfilling
                    # Situation not managed. Simply bail out
                    self._subcription_valid = False
                    self.put_notification(self.DISCONNECTED)
                    return False  # error management cancelled the queue

                elif msg == -354:  # Data not subscribed
                    self._subcription_valid = False
                    self.put_notification(self.NOTSUBSCRIBED)
                    return False

                elif msg == -420:  # No permissions for the data
                    self._subcription_valid = False
                    self.put_notification(self.NOTSUBSCRIBED)
                    return False

                elif isinstance(msg, integer_types):
                    # Unexpected notification for historical data skip it
                    # May be a "not connected not yet processed"
                    self.put_notification(self.UNKNOWN, msg)
                    continue

                if msg.date is not None:
                    if self._load_rtbar(msg, hist=True):
                        return True  # loading worked

                    # the date is from overlapping historical request
                    continue

                # End of histdata
                if self.p.historical:  # only historical
                    self.put_notification(self.DISCONNECTED)
                    return False  # end of historical

                # Live is also wished - go for it
                self._state = self._ST_LIVE
                continue

            elif self._state == self._ST_FROM:
                if not self.p.backfill_from.next():
                    # additional data source is consumed
                    self._state = self._ST_START
                    continue

                # copy lines of the same name
                for alias in self.lines.getlinealiases():
                    lsrc = getattr(self.p.backfill_from.lines, alias)
                    ldst = getattr(self.lines, alias)

                    ldst[0] = lsrc[0]

                return True

            elif self._state == self._ST_START:
                if not self._st_start():
                    return False

    def _st_start(self):
        if self.p.historical:
            self.put_notification(self.DELAYED)
            dtend = None
            if self.todate < float('inf'):
                dtend = num2date(self.todate)

            dtbegin = None
            if self.fromdate > float('-inf'):
                dtbegin = num2date(self.fromdate)

            self.qhist = self.ib.reqHistoricalDataEx(
                contract=self.contract, enddate=dtend, begindate=dtbegin,
                timeframe=self._timeframe, compression=self._compression,
                what=self.p.what, useRTH=self.p.useRTH, tz=self._tz,
                sessionend=self.p.sessionend)

            self._state = self._ST_HISTORBACK
            return True  # continue before

        # Live is requested
        if not self.ib.reconnect(resub=True):
            self.put_notification(self.DISCONNECTED)
            self._state = self._ST_OVER
            return False  # failed - was so

        self._statelivereconn = self.p.backfill_start
        if self.p.backfill_start:
            self.put_notification(self.DELAYED)

        self._state = self._ST_LIVE
        return True  # no return before - implicit continue

    def _load_rtbar(self, rtbar, hist=False):
        # A complete 5 second bar made of real-time ticks is delivered and
        # contains open/high/low/close/volume prices
        # The historical data has the same data but with 'date' instead of
        # 'time' for datetime
        dt = date2num(rtbar.time if not hist else rtbar.date)
        if dt < self.lines.datetime[-1] and not self.p.latethrough:
            return False  # cannot deliver earlier than already delivered

        self.lines.datetime[0] = dt
        # Put the tick into the bar
        self.lines.open[0] = rtbar.open
        self.lines.high[0] = rtbar.high
        self.lines.low[0] = rtbar.low
        self.lines.close[0] = rtbar.close
        self.lines.volume[0] = rtbar.volume
        self.lines.openinterest[0] = 0

        return True

    def _load_rtvolume(self, rtvol):
        # A single tick is delivered and is therefore used for the entire set
        # of prices. Ideally the
        # contains open/high/low/close/volume prices
        # Datetime transformation
        dt = date2num(rtvol.datetime)
        if dt < self.lines.datetime[-1] and not self.p.latethrough:
            return False  # cannot deliver earlier than already delivered

        self.lines.datetime[0] = dt

        # Put the tick into the bar
        tick = rtvol.price
        self.lines.open[0] = tick
        self.lines.high[0] = tick
        self.lines.low[0] = tick
        self.lines.close[0] = tick
        self.lines.volume[0] = rtvol.size
        self.lines.openinterest[0] = 0

        return True


================================================
FILE: backtrader/feeds/influxfeed.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
import backtrader.feed as feed
from ..utils import date2num
import datetime as dt

TIMEFRAMES = dict(
    (
        (bt.TimeFrame.Seconds, 's'),
        (bt.TimeFrame.Minutes, 'm'),
        (bt.TimeFrame.Days, 'd'),
        (bt.TimeFrame.Weeks, 'w'),
        (bt.TimeFrame.Months, 'm'),
        (bt.TimeFrame.Years, 'y'),
    )
)


class InfluxDB(feed.DataBase):
    frompackages = (
        ('influxdb', [('InfluxDBClient', 'idbclient')]),
        ('influxdb.exceptions', 'InfluxDBClientError')
    )

    params = (
        ('host', '127.0.0.1'),
        ('port', '8086'),
        ('username', None),
        ('password', None),
        ('database', None),
        ('timeframe', bt.TimeFrame.Days),
        ('startdate', None),
        ('high', 'high_p'),
        ('low', 'low_p'),
        ('open', 'open_p'),
        ('close', 'close_p'),
        ('volume', 'volume'),
        ('ointerest', 'oi'),
    )

    def start(self):
        super(InfluxDB, self).start()
        try:
            self.ndb = idbclient(self.p.host, self.p.port, self.p.username,
                                 self.p.password, self.p.database)
        except InfluxDBClientError as err:
            print('Failed to establish connection to InfluxDB: %s' % err)

        tf = '{multiple}{timeframe}'.format(
            multiple=(self.p.compression if self.p.compression else 1),
            timeframe=TIMEFRAMES.get(self.p.timeframe, 'd'))

        if not self.p.startdate:
            st = '<= now()'
        else:
            st = '>= \'%s\'' % self.p.startdate

        # The query could already consider parameters like fromdate and todate
        # to have the database skip them and not the internal code
        qstr = ('SELECT mean("{open_f}") AS "open", mean("{high_f}") AS "high", '
                'mean("{low_f}") AS "low", mean("{close_f}") AS "close", '
                'mean("{vol_f}") AS "volume", mean("{oi_f}") AS "openinterest" '
                'FROM "{dataname}" '
                'WHERE time {begin} '
                'GROUP BY time({timeframe}) fill(none)').format(
                    open_f=self.p.open, high_f=self.p.high,
                    low_f=self.p.low, close_f=self.p.close,
                    vol_f=self.p.volume, oi_f=self.p.ointerest,
                    timeframe=tf, begin=st, dataname=self.p.dataname)

        try:
            dbars = list(self.ndb.query(qstr).get_points())
        except InfluxDBClientError as err:
            print('InfluxDB query failed: %s' % err)

        self.biter = iter(dbars)

    def _load(self):
        try:
            bar = next(self.biter)
        except StopIteration:
            return False

        self.l.datetime[0] = date2num(dt.datetime.strptime(bar['time'],
                                                           '%Y-%m-%dT%H:%M:%SZ'))

        self.l.open[0] = bar['open']
        self.l.high[0] = bar['high']
        self.l.low[0] = bar['low']
        self.l.close[0] = bar['close']
        self.l.volume[0] = bar['volume']

        return True


================================================
FILE: backtrader/feeds/mt4csv.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import GenericCSVData


class MT4CSVData(GenericCSVData):
    '''
    Parses a `Metatrader4 <https://www.metaquotes.net/en/metatrader4>`_ History
    center CSV exported file.

    Specific parameters (or specific meaning):

      - ``dataname``: The filename to parse or a file-like object

      - Uses GenericCSVData and simply modifies the params
    '''

    params = (
        ('dtformat', '%Y.%m.%d'),
        ('tmformat', '%H:%M'),
        ('datetime', 0),
        ('time',  1),
        ('open',  2),
        ('high',  3),
        ('low',   4),
        ('close', 5),
        ('volume', 6),
        ('openinterest', -1),
    )


================================================
FILE: backtrader/feeds/oanda.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import datetime, timedelta

from backtrader.feed import DataBase
from backtrader import TimeFrame, date2num, num2date
from backtrader.utils.py3 import (integer_types, queue, string_types,
                                  with_metaclass)
from backtrader.metabase import MetaParams
from backtrader.stores import oandastore


class MetaOandaData(DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaOandaData, cls).__init__(name, bases, dct)

        # Register with the store
        oandastore.OandaStore.DataCls = cls


class OandaData(with_metaclass(MetaOandaData, DataBase)):
    '''Oanda Data Feed.

    Params:

      - ``qcheck`` (default: ``0.5``)

        Time in seconds to wake up if no data is received to give a chance to
        resample/replay packets properly and pass notifications up the chain

      - ``historical`` (default: ``False``)

        If set to ``True`` the data feed will stop after doing the first
        download of data.

        The standard data feed parameters ``fromdate`` and ``todate`` will be
        used as reference.

        The data feed will make multiple requests if the requested duration is
        larger than the one allowed by IB given the timeframe/compression
        chosen for the data.

      - ``backfill_start`` (default: ``True``)

        Perform backfilling at the start. The maximum possible historical data
        will be fetched in a single request.

      - ``backfill`` (default: ``True``)

        Perform backfilling after a disconnection/reconnection cycle. The gap
        duration will be used to download the smallest possible amount of data

      - ``backfill_from`` (default: ``None``)

        An additional data source can be passed to do an initial layer of
        backfilling. Once the data source is depleted and if requested,
        backfilling from IB will take place. This is ideally meant to backfill
        from already stored sources like a file on disk, but not limited to.

      - ``bidask`` (default: ``True``)

        If ``True``, then the historical/backfilling requests will request
        bid/ask prices from the server

        If ``False``, then *midpoint* will be requested

      - ``useask`` (default: ``False``)

        If ``True`` the *ask* part of the *bidask* prices will be used instead
        of the default use of *bid*

      - ``includeFirst`` (default: ``True``)

        Influence the delivery of the 1st bar of a historical/backfilling
        request by setting the parameter directly to the Oanda API calls

      - ``reconnect`` (default: ``True``)

        Reconnect when network connection is down

      - ``reconnections`` (default: ``-1``)

        Number of times to attempt reconnections: ``-1`` means forever

      - ``reconntimeout`` (default: ``5.0``)

        Time in seconds to wait in between reconnection attemps

    This data feed supports only this mapping of ``timeframe`` and
    ``compression``, which comply with the definitions in the OANDA API
    Developer's Guid::

        (TimeFrame.Seconds, 5): 'S5',
        (TimeFrame.Seconds, 10): 'S10',
        (TimeFrame.Seconds, 15): 'S15',
        (TimeFrame.Seconds, 30): 'S30',
        (TimeFrame.Minutes, 1): 'M1',
        (TimeFrame.Minutes, 2): 'M3',
        (TimeFrame.Minutes, 3): 'M3',
        (TimeFrame.Minutes, 4): 'M4',
        (TimeFrame.Minutes, 5): 'M5',
        (TimeFrame.Minutes, 10): 'M10',
        (TimeFrame.Minutes, 15): 'M15',
        (TimeFrame.Minutes, 30): 'M30',
        (TimeFrame.Minutes, 60): 'H1',
        (TimeFrame.Minutes, 120): 'H2',
        (TimeFrame.Minutes, 180): 'H3',
        (TimeFrame.Minutes, 240): 'H4',
        (TimeFrame.Minutes, 360): 'H6',
        (TimeFrame.Minutes, 480): 'H8',
        (TimeFrame.Days, 1): 'D',
        (TimeFrame.Weeks, 1): 'W',
        (TimeFrame.Months, 1): 'M',

    Any other combination will be rejected
    '''
    params = (
        ('qcheck', 0.5),
        ('historical', False),  # do backfilling at the start
        ('backfill_start', True),  # do backfilling at the start
        ('backfill', True),  # do backfilling when reconnecting
        ('backfill_from', None),  # additional data source to do backfill from
        ('bidask', True),
        ('useask', False),
        ('includeFirst', True),
        ('reconnect', True),
        ('reconnections', -1),  # forever
        ('reconntimeout', 5.0),
    )

    _store = oandastore.OandaStore

    # States for the Finite State Machine in _load
    _ST_FROM, _ST_START, _ST_LIVE, _ST_HISTORBACK, _ST_OVER = range(5)

    _TOFFSET = timedelta()

    def _timeoffset(self):
        # Effective way to overcome the non-notification?
        return self._TOFFSET

    def islive(self):
        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce
        should be deactivated'''
        return True

    def __init__(self, **kwargs):
        self.o = self._store(**kwargs)
        self._candleFormat = 'bidask' if self.p.bidask else 'midpoint'

    def setenvironment(self, env):
        '''Receives an environment (cerebro) and passes it over to the store it
        belongs to'''
        super(OandaData, self).setenvironment(env)
        env.addstore(self.o)

    def start(self):
        '''Starts the Oanda connecction and gets the real contract and
        contractdetails if it exists'''
        super(OandaData, self).start()

        # Create attributes as soon as possible
        self._statelivereconn = False  # if reconnecting in live state
        self._storedmsg = dict()  # keep pending live message (under None)
        self.qlive = queue.Queue()
        self._state = self._ST_OVER

        # Kickstart store and get queue to wait on
        self.o.start(data=self)

        # check if the granularity is supported
        otf = self.o.get_granularity(self._timeframe, self._compression)
        if otf is None:
            self.put_notification(self.NOTSUPPORTED_TF)
            self._state = self._ST_OVER
            return

        self.contractdetails = cd = self.o.get_instrument(self.p.dataname)
        if cd is None:
            self.put_notification(self.NOTSUBSCRIBED)
            self._state = self._ST_OVER
            return

        if self.p.backfill_from is not None:
            self._state = self._ST_FROM
            self.p.backfill_from._start()
        else:
            self._start_finish()
            self._state = self._ST_START  # initial state for _load
            self._st_start()

        self._reconns = 0

    def _st_start(self, instart=True, tmout=None):
        if self.p.historical:
            self.put_notification(self.DELAYED)
            dtend = None
            if self.todate < float('inf'):
                dtend = num2date(self.todate)

            dtbegin = None
            if self.fromdate > float('-inf'):
                dtbegin = num2date(self.fromdate)

            self.qhist = self.o.candles(
                self.p.dataname, dtbegin, dtend,
                self._timeframe, self._compression,
                candleFormat=self._candleFormat,
                includeFirst=self.p.includeFirst)

            self._state = self._ST_HISTORBACK
            return True

        self.qlive = self.o.streaming_prices(self.p.dataname, tmout=tmout)
        if instart:
            self._statelivereconn = self.p.backfill_start
        else:
            self._statelivereconn = self.p.backfill

        if self._statelivereconn:
            self.put_notification(self.DELAYED)

        self._state = self._ST_LIVE
        if instart:
            self._reconns = self.p.reconnections

        return True  # no return before - implicit continue

    def stop(self):
        '''Stops and tells the store to stop'''
        super(OandaData, self).stop()
        self.o.stop()

    def haslivedata(self):
        return bool(self._storedmsg or self.qlive)  # do not return the objs

    def _load(self):
        if self._state == self._ST_OVER:
            return False

        while True:
            if self._state == self._ST_LIVE:
                try:
                    msg = (self._storedmsg.pop(None, None) or
                           self.qlive.get(timeout=self._qcheck))
                except queue.Empty:
                    return None  # indicate timeout situation

                if msg is None:  # Conn broken during historical/backfilling
                    self.put_notification(self.CONNBROKEN)
                    # Try to reconnect
                    if not self.p.reconnect or self._reconns == 0:
                        # Can no longer reconnect
                        self.put_notification(self.DISCONNECTED)
                        self._state = self._ST_OVER
                        return False  # failed

                    self._reconns -= 1
                    self._st_start(instart=False, tmout=self.p.reconntimeout)
                    continue

                if 'code' in msg:
                    self.put_notification(self.CONNBROKEN)
                    code = msg['code']
                    if code not in [599, 598, 596]:
                        self.put_notification(self.DISCONNECTED)
                        self._state = self._ST_OVER
                        return False  # failed

                    if not self.p.reconnect or self._reconns == 0:
                        # Can no longer reconnect
                        self.put_notification(self.DISCONNECTED)
                        self._state = self._ST_OVER
                        return False  # failed

                    # Can reconnect
                    self._reconns -= 1
                    self._st_start(instart=False, tmout=self.p.reconntimeout)
                    continue

                self._reconns = self.p.reconnections

                # Process the message according to expected return type
                if not self._statelivereconn:
                    if self._laststatus != self.LIVE:
                        if self.qlive.qsize() <= 1:  # very short live queue
                            self.put_notification(self.LIVE)

                    ret = self._load_tick(msg)
                    if ret:
                        return True

                    # could not load bar ... go and get new one
                    continue

                # Fall through to processing reconnect - try to backfill
                self._storedmsg[None] = msg  # keep the msg

                # else do a backfill
                if self._laststatus != self.DELAYED:
                    self.put_notification(self.DELAYED)

                dtend = None
                if len(self) > 1:
                    # len == 1 ... forwarded for the 1st time
                    dtbegin = self.datetime.datetime(-1)
                elif self.fromdate > float('-inf'):
                    dtbegin = num2date(self.fromdate)
                else:  # 1st bar and no begin set
                    # passing None to fetch max possible in 1 request
                    dtbegin = None

                dtend = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)

                self.qhist = self.o.candles(
                    self.p.dataname, dtbegin, dtend,
                    self._timeframe, self._compression,
                    candleFormat=self._candleFormat,
                    includeFirst=self.p.includeFirst)

                self._state = self._ST_HISTORBACK
                self._statelivereconn = False  # no longer in live
                continue

            elif self._state == self._ST_HISTORBACK:
                msg = self.qhist.get()
                if msg is None:  # Conn broken during historical/backfilling
                    # Situation not managed. Simply bail out
                    self.put_notification(self.DISCONNECTED)
                    self._state = self._ST_OVER
                    return False  # error management cancelled the queue

                elif 'code' in msg:  # Error
                    self.put_notification(self.NOTSUBSCRIBED)
                    self.put_notification(self.DISCONNECTED)
                    self._state = self._ST_OVER
                    return False

                if msg:
                    if self._load_history(msg):
                        return True  # loading worked

                    continue  # not loaded ... date may have been seen
                else:
                    # End of histdata
                    if self.p.historical:  # only historical
                        self.put_notification(self.DISCONNECTED)
                        self._state = self._ST_OVER
                        return False  # end of historical

                # Live is also wished - go for it
                self._state = self._ST_LIVE
                continue

            elif self._state == self._ST_FROM:
                if not self.p.backfill_from.next():
                    # additional data source is consumed
                    self._state = self._ST_START
                    continue

                # copy lines of the same name
                for alias in self.lines.getlinealiases():
                    lsrc = getattr(self.p.backfill_from.lines, alias)
                    ldst = getattr(self.lines, alias)

                    ldst[0] = lsrc[0]

                return True

            elif self._state == self._ST_START:
                if not self._st_start(instart=False):
                    self._state = self._ST_OVER
                    return False

    def _load_tick(self, msg):
        dtobj = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)
        dt = date2num(dtobj)
        if dt <= self.lines.datetime[-1]:
            return False  # time already seen

        # Common fields
        self.lines.datetime[0] = dt
        self.lines.volume[0] = 0.0
        self.lines.openinterest[0] = 0.0

        # Put the prices into the bar
        tick = float(msg['ask']) if self.p.useask else float(msg['bid'])
        self.lines.open[0] = tick
        self.lines.high[0] = tick
        self.lines.low[0] = tick
        self.lines.close[0] = tick
        self.lines.volume[0] = 0.0
        self.lines.openinterest[0] = 0.0

        return True

    def _load_history(self, msg):
        dtobj = datetime.utcfromtimestamp(int(msg['time']) / 10 ** 6)
        dt = date2num(dtobj)
        if dt <= self.lines.datetime[-1]:
            return False  # time already seen

        # Common fields
        self.lines.datetime[0] = dt
        self.lines.volume[0] = float(msg['volume'])
        self.lines.openinterest[0] = 0.0

        # Put the prices into the bar
        if self.p.bidask:
            if not self.p.useask:
                self.lines.open[0] = float(msg['openBid'])
                self.lines.high[0] = float(msg['highBid'])
                self.lines.low[0] = float(msg['lowBid'])
                self.lines.close[0] = float(msg['closeBid'])
            else:
                self.lines.open[0] = float(msg['openAsk'])
                self.lines.high[0] = float(msg['highAsk'])
                self.lines.low[0] = float(msg['lowAsk'])
                self.lines.close[0] = float(msg['closeAsk'])
        else:
            self.lines.open[0] = float(msg['openMid'])
            self.lines.high[0] = float(msg['highMid'])
            self.lines.low[0] = float(msg['lowMid'])
            self.lines.close[0] = float(msg['closeMid'])

        return True


================================================
FILE: backtrader/feeds/pandafeed.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from backtrader.utils.py3 import filter, string_types, integer_types

from backtrader import date2num
import backtrader.feed as feed


class PandasDirectData(feed.DataBase):
    '''
    Uses a Pandas DataFrame as the feed source, iterating directly over the
    tuples returned by "itertuples".

    This means that all parameters related to lines must have numeric
    values as indices into the tuples

    Note:

      - The ``dataname`` parameter is a Pandas DataFrame

      - A negative value in any of the parameters for the Data lines
        indicates it's not present in the DataFrame
        it is
    '''

    params = (
        ('datetime', 0),
        ('open', 1),
        ('high', 2),
        ('low', 3),
        ('close', 4),
        ('volume', 5),
        ('openinterest', 6),
    )

    datafields = [
        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'
    ]

    def start(self):
        super(PandasDirectData, self).start()

        # reset the iterator on each start
        self._rows = self.p.dataname.itertuples()

    def _load(self):
        try:
            row = next(self._rows)
        except StopIteration:
            return False

        # Set the standard datafields - except for datetime
        for datafield in self.getlinealiases():
            if datafield == 'datetime':
                continue

            # get the column index
            colidx = getattr(self.params, datafield)

            if colidx < 0:
                # column not present -- skip
                continue

            # get the line to be set
            line = getattr(self.lines, datafield)

            # indexing for pandas: 1st is colum, then row
            line[0] = row[colidx]

        # datetime
        colidx = getattr(self.params, 'datetime')
        tstamp = row[colidx]

        # convert to float via datetime and store it
        dt = tstamp.to_pydatetime()
        dtnum = date2num(dt)

        # get the line to be set
        line = getattr(self.lines, 'datetime')
        line[0] = dtnum

        # Done ... return
        return True


class PandasData(feed.DataBase):
    '''
    Uses a Pandas DataFrame as the feed source, using indices into column
    names (which can be "numeric")

    This means that all parameters related to lines must have numeric
    values as indices into the tuples

    Params:

      - ``nocase`` (default *True*) case insensitive match of column names

    Note:

      - The ``dataname`` parameter is a Pandas DataFrame

      - Values possible for datetime

        - None: the index contains the datetime
        - -1: no index, autodetect column
        - >= 0 or string: specific colum identifier

      - For other lines parameters

        - None: column not present
        - -1: autodetect
        - >= 0 or string: specific colum identifier
    '''

    params = (
        ('nocase', True),

        # Possible values for datetime (must always be present)
        #  None : datetime is the "index" in the Pandas Dataframe
        #  -1 : autodetect position or case-wise equal name
        #  >= 0 : numeric index to the colum in the pandas dataframe
        #  string : column name (as index) in the pandas dataframe
        ('datetime', None),

        # Possible values below:
        #  None : column not present
        #  -1 : autodetect position or case-wise equal name
        #  >= 0 : numeric index to the colum in the pandas dataframe
        #  string : column name (as index) in the pandas dataframe
        ('open', -1),
        ('high', -1),
        ('low', -1),
        ('close', -1),
        ('volume', -1),
        ('openinterest', -1),
    )

    datafields = [
        'datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest'
    ]

    def __init__(self):
        super(PandasData, self).__init__()

        # these "colnames" can be strings or numeric types
        colnames = list(self.p.dataname.columns.values)
        if self.p.datetime is None:
            # datetime is expected as index col and hence not returned
            pass

        # try to autodetect if all columns are numeric
        cstrings = filter(lambda x: isinstance(x, string_types), colnames)
        colsnumeric = not len(list(cstrings))

        # Where each datafield find its value
        self._colmapping = dict()

        # Build the column mappings to internal fields in advance
        for datafield in self.getlinealiases():
            defmapping = getattr(self.params, datafield)

            if isinstance(defmapping, integer_types) and defmapping < 0:
                # autodetection requested
                for colname in colnames:
                    if isinstance(colname, string_types):
                        if self.p.nocase:
                            found = datafield.lower() == colname.lower()
                        else:
                            found = datafield == colname

                        if found:
                            self._colmapping[datafield] = colname
                            break

                if datafield not in self._colmapping:
                    # autodetection requested and not found
                    self._colmapping[datafield] = None
                    continue
            else:
                # all other cases -- used given index
                self._colmapping[datafield] = defmapping

    def start(self):
        super(PandasData, self).start()

        # reset the length with each start
        self._idx = -1

        # Transform names (valid for .ix) into indices (good for .iloc)
        if self.p.nocase:
            colnames = [x.lower() for x in self.p.dataname.columns.values]
        else:
            colnames = [x for x in self.p.dataname.columns.values]

        for k, v in self._colmapping.items():
            if v is None:
                continue  # special marker for datetime
            if isinstance(v, string_types):
                try:
                    if self.p.nocase:
                        v = colnames.index(v.lower())
                    else:
                        v = colnames.index(v)
                except ValueError as e:
                    defmap = getattr(self.params, k)
                    if isinstance(defmap, integer_types) and defmap < 0:
                        v = None
                    else:
                        raise e  # let user now something failed

            self._colmapping[k] = v

    def _load(self):
        self._idx += 1

        if self._idx >= len(self.p.dataname):
            # exhausted all rows
            return False

        # Set the standard datafields
        for datafield in self.getlinealiases():
            if datafield == 'datetime':
                continue

            colindex = self._colmapping[datafield]
            if colindex is None:
                # datafield signaled as missing in the stream: skip it
                continue

            # get the line to be set
            line = getattr(self.lines, datafield)

            # indexing for pandas: 1st is colum, then row
            line[0] = self.p.dataname.iloc[self._idx, colindex]

        # datetime conversion
        coldtime = self._colmapping['datetime']

        if coldtime is None:
            # standard index in the datetime
            tstamp = self.p.dataname.index[self._idx]
        else:
            # it's in a different column ... use standard column index
            tstamp = self.p.dataname.iloc[self._idx, coldtime]

        # convert to float via datetime and store it
        dt = tstamp.to_pydatetime()
        dtnum = date2num(dt)
        self.lines.datetime[0] = dtnum

        # Done ... return
        return True


================================================
FILE: backtrader/feeds/quandl.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from datetime import date, datetime
import io
import itertools

from ..utils.py3 import (urlopen, urlquote, ProxyHandler, build_opener,
                         install_opener)

from .. import feed
from ..utils import date2num


__all__ = ['QuandlCSV', 'Quandl']


class QuandlCSV(feed.CSVDataBase):
    '''
    Parses pre-downloaded Quandl CSV Data Feeds (or locally generated if they
    comply to the Quandl format)

    Specific parameters:

      - ``dataname``: The filename to parse or a file-like object

      - ``reverse`` (default: ``False``)

        It is assumed that locally stored files have already been reversed
        during the download process

      - ``adjclose`` (default: ``True``)

        Whether to use the dividend/split adjusted close and adjust all
        values according to it.

      - ``round`` (default: ``False``)

        Whether to round the values to a specific number of decimals after
        having adjusted the close

      - ``decimals`` (default: ``2``)

        Number of decimals to round to
    '''
    _online = False  # flag to avoid double reversal

    params = (
        ('reverse', False),
        ('adjclose', True),
        ('round', False),
        ('decimals', 2),
    )

    def start(self):
        super(QuandlCSV, self).start()

        if not self.params.reverse:
            return
        elif self._online:
            return  # revers is True but also online, managed with order=asc

        # Quandl data can be in reverse order -> reverse
        dq = collections.deque()
        for line in self.f:
            dq.appendleft(line)

        f = io.StringIO(newline=None)
        f.writelines(dq)
        f.seek(0)
        self.f.close()
        self.f = f

    def _loadline(self, linetokens):
        i = itertools.count(0)

        dttxt = linetokens[next(i)]  # YYYY-MM-DD
        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))
        dtnum = date2num(datetime.combine(dt, self.p.sessionend))

        self.lines.datetime[0] = dtnum
        if self.p.adjclose:
            for _ in range(7):
                next(i)  # skip ohlcv, ex-dividend, split ratio

        o = float(linetokens[next(i)])
        h = float(linetokens[next(i)])
        l = float(linetokens[next(i)])
        c = float(linetokens[next(i)])
        v = float(linetokens[next(i)])
        self.lines.openinterest[0] = 0.0

        if self.p.round:
            decimals = self.p.decimals
            o = round(o, decimals)
            h = round(h, decimals)
            l = round(l, decimals)
            c = round(c, decimals)
            v = round(v, decimals)

        self.lines.open[0] = o
        self.lines.high[0] = h
        self.lines.low[0] = l
        self.lines.close[0] = c
        self.lines.volume[0] = v

        return True


class Quandl(QuandlCSV):
    '''
    Executes a direct download of data from Quandl servers for the given time
    range.

    Specific parameters (or specific meaning):

      - ``dataname``

        The ticker to download ('YHOO' for example)

      - ``baseurl``

        The server url. Someone might decide to open a Quandl compatible
        service in the future.

      - ``proxies``

        A dict indicating which proxy to go through for the download as in
        {'http': 'http://myproxy.com'} or {'http': 'http://127.0.0.1:8080'}

      - ``buffered``

        If True the entire socket connection wil be buffered locally before
        parsing starts.

      - ``reverse``

        Quandl returns the value in descending order (newest first). If this is
        ``True`` (the default), the request will tell Quandl to return in
        ascending (oldest to newest) format

      - ``adjclose``

        Whether to use the dividend/split adjusted close and adjust all values
        according to it.

      - ``apikey``

        apikey identification in case it may be needed

      - ``dataset``

        string identifying the dataset to query. Defaults to ``WIKI``

      '''

    _online = True  # flag to avoid double reversal

    params = (
        ('baseurl', 'https://www.quandl.com/api/v3/datasets'),
        ('proxies', {}),
        ('buffered', True),
        ('reverse', True),
        ('apikey', None),
        ('dataset', 'WIKI'),
    )

    def start(self):
        self.error = None

        url = '{}/{}/{}.csv'.format(
            self.p.baseurl, self.p.dataset, urlquote(self.p.dataname))

        urlargs = []
        if self.p.reverse:
            urlargs.append('order=asc')

        if self.p.apikey is not None:
            urlargs.append('api_key={}'.format(self.p.apikey))

        if self.p.fromdate:
            dtxt = self.p.fromdate.strftime('%Y-%m-%d')
            urlargs.append('start_date={}'.format(dtxt))

        if self.p.todate:
            dtxt = self.p.todate.strftime('%Y-%m-%d')
            urlargs.append('end_date={}'.format(dtxt))

        if urlargs:
            url += '?' + '&'.join(urlargs)

        if self.p.proxies:
            proxy = ProxyHandler(self.p.proxies)
            opener = build_opener(proxy)
            install_opener(opener)

        try:
            datafile = urlopen(url)
        except IOError as e:
            self.error = str(e)
            # leave us empty
            return

        if datafile.headers['Content-Type'] != 'text/csv':
            self.error = 'Wrong content type: %s' % datafile.headers
            return  # HTML returned? wrong url?

        if self.params.buffered:
            # buffer everything from the socket into a local buffer
            f = io.StringIO(datafile.read().decode('utf-8'), newline=None)
            datafile.close()
        else:
            f = datafile

        self.f = f

        # Prepared a "path" file -  CSV Parser can take over
        super(Quandl, self).start()


================================================
FILE: backtrader/feeds/rollover.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from datetime import datetime

import backtrader as bt


class MetaRollOver(bt.DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaRollOver, cls).__init__(name, bases, dct)

    def donew(cls, *args, **kwargs):
        '''Intercept const. to copy timeframe/compression from 1st data'''
        # Create the object and set the params in place
        _obj, args, kwargs = super(MetaRollOver, cls).donew(*args, **kwargs)

        if args:
            _obj.p.timeframe = args[0]._timeframe
            _obj.p.compression = args[0]._compression

        return _obj, args, kwargs


class RollOver(bt.with_metaclass(MetaRollOver, bt.DataBase)):
    '''Class that rolls over to the next future when a condition is met

    Params:

        - ``checkdate`` (default: ``None``)

          This must be a *callable* with the following signature::

            checkdate(dt, d):

          Where:

            - ``dt`` is a ``datetime.datetime`` object
            - ``d`` is the current data feed for the active future

          Expected Return Values:

            - ``True``: as long as the callable returns this, a switchover can
              happen to the next future

        If a commodity expires on the 3rd Friday of March, ``checkdate`` could
        return ``True`` for the entire week in which the expiration takes
        place.

            - ``False``: the expiration cannot take place

        - ``checkcondition`` (default: ``None``)

          **Note**: This will only be called if ``checkdate`` has returned
          ``True``

          If ``None`` this will evaluate to ``True`` (execute roll over)
          internally

          Else this must be a *callable* with this signature::

            checkcondition(d0, d1)

          Where:

            - ``d0`` is the current data feed for the active future
            - ``d1`` is the data feed for the next expiration

          Expected Return Values:

            - ``True``: roll-over to the next future

        Following with the example from ``checkdate``, this could say that the
        roll-over can only happend if the *volume* from ``d0`` is already less
        than the volume from ``d1``

            - ``False``: the expiration cannot take place
    '''

    params = (
        # ('rolls', []),  # array of futures to roll over
        ('checkdate', None),  # callable
        ('checkcondition', None),  # callable
    )

    def islive(self):
        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce
        should be deactivated'''
        return True

    def __init__(self, *args):
        self._rolls = args

    def start(self):
        super(RollOver, self).start()
        for d in self._rolls:
            d.setenvironment(self._env)
            d._start()

        # put the references in a separate list to have pops
        self._ds = list(self._rolls)
        self._d = self._ds.pop(0) if self._ds else None
        self._dexp = None
        self._dts = [datetime.min for xx in self._ds]

    def stop(self):
        super(RollOver, self).stop()
        for d in self._rolls:
            d.stop()

    def _gettz(self):
        '''To be overriden by subclasses which may auto-calculate the
        timezone'''
        if self._rolls:
            return self._rolls[0]._gettz()
        return bt.utils.date.Localizer(self.p.tz)

    def _checkdate(self, dt, d):
        if self.p.checkdate is not None:
            return self.p.checkdate(dt, d)

        return False

    def _checkcondition(self, d0, d1):
        if self.p.checkcondition is not None:
            return self.p.checkcondition(d0, d1)

        return True

    def _load(self):
        while self._d is not None:
            _next = self._d.next()
            if _next is None:  # no values yet, more will come
                continue
            if _next is False:  # no values from current data src
                if self._ds:
                    self._d = self._ds.pop(0)
                    self._dts.pop(0)
                else:
                    self._d = None
                continue

            dt0 = self._d.datetime.datetime()  # current dt for active data

            # Synchronize other datas using dt0
            for i, d_dt in enumerate(zip(self._ds, self._dts)):
                d, dt = d_dt
                while dt < dt0:
                    if d.next() is None:
                        continue
                    self._dts[i] = dt = d.datetime.datetime()

            # Move expired future as much as needed
            while self._dexp is not None:
                if not self._dexp.next():
                    self._dexp = None
                    break

                if self._dexp.datetime.datetime() < dt0:
                    continue

            if self._dexp is None and self._checkdate(dt0, self._d):
                # rule has been met ... check other factors only if 2 datas
                # still there
                if self._ds and self._checkcondition(self._d, self._ds[0]):
                    # Time to switch to next data
                    self._dexp = self._d
                    self._d = self._ds.pop(0)
                    self._dts.pop(0)

            # Fill the line and tell we die
            self.lines.datetime[0] = self._d.lines.datetime[0]
            self.lines.open[0] = self._d.lines.open[0]
            self.lines.high[0] = self._d.lines.high[0]
            self.lines.low[0] = self._d.lines.low[0]
            self.lines.close[0] = self._d.lines.close[0]
            self.lines.volume[0] = self._d.lines.volume[0]
            self.lines.openinterest[0] = self._d.lines.openinterest[0]
            return True

        # Out of the loop -> self._d is None, no data feed to return from
        return False


================================================
FILE: backtrader/feeds/sierrachart.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import GenericCSVData


class SierraChartCSVData(GenericCSVData):
    '''
    Parses a `SierraChart <http://www.sierrachart.com>`_ CSV exported file.

    Specific parameters (or specific meaning):

      - ``dataname``: The filename to parse or a file-like object

      - Uses GenericCSVData and simply modifies the dateformat (dtformat) to
    '''

    params = (('dtformat', '%Y/%m/%d'),)


================================================
FILE: backtrader/feeds/vcdata.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from datetime import datetime, timedelta, tzinfo

import backtrader as bt
from backtrader import TimeFrame, date2num, num2date
from backtrader.feed import DataBase
from backtrader.metabase import MetaParams
from backtrader.utils.py3 import (integer_types, queue, string_types,
                                  with_metaclass)

from backtrader.stores import vcstore


class MetaVCData(DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaVCData, cls).__init__(name, bases, dct)

        # Register with the store
        vcstore.VCStore.DataCls = cls


class VCData(with_metaclass(MetaVCData, DataBase)):
    '''VisualChart Data Feed.

    Params:

      - ``qcheck`` (default: ``0.5``)
        Default timeout for waking up to let a resampler/replayer that the
        current bar can be check for due delivery

        The value is only used if a resampling/replaying filter has been
        inserted in the data

      - ``historical`` (default: ``False``)
        If no ``todate`` parameter is supplied (defined in the base class),
        this will force a historical only download if set to ``True``

        If ``todate`` is supplied the same effect is achieved

      - ``milliseconds`` (default: ``True``)
        The bars constructed by *Visual Chart* have this aspect:
        HH:MM:59.999000

        If this parameter is ``True`` a millisecond will be added to this time
        to make it look like: HH::MM + 1:00.000000

      - ``tradename`` (default: ``None``)
        Continous futures cannot be traded but are ideal for data tracking. If
        this parameter is supplied it will be the name of the current future
        which will be the trading asset. Example:

        - 001ES -> ES-Mini continuous supplied as ``dataname``

        - ESU16 -> ES-Mini 2016-09. If this is supplied in ``tradename`` it
          will be the trading asset.

      - ``usetimezones`` (default: ``True``)
        For most markets the time offset information provided by *Visual Chart*
        allows for datetime to be converted to market time (*backtrader* choice
        for representation)

        Some markets are special (``096``) and need special internal coverage
        and timezone support to display in the user expected market time.

        If this parameter is set to ``True`` importing ``pytz`` will be
        attempted to use timezones (default)

        Disabling it will remove timezone usage (may help if the load is
        excesive)
    '''
    params = (
        ('qcheck', 0.5),  # timeout in seconds (float) to check for events
        ('historical', False),  # usual industry value
        ('millisecond', True),  # fix missing millisecond in time
        ('tradename', None),  # name of the real asset to trade on
        ('usetimezones', True),  # use pytz timezones if found
    )

    # Holds the calculated offset to the timestamps of the VC Server
    _TOFFSET = timedelta()

    # States for the Finite State Machine in _load
    _ST_START, _ST_FEEDING, _ST_NOTFOUND = range(3)

    # Base NULL Date for VB/Excel date compatibility
    NULLDATE = datetime(1899, 12, 30, 0, 0, 0)

    # To correct HH:MM:59.999 times
    MILLISECOND = timedelta(microseconds=1000)

    # Large ping timeout
    PING_TIMEOUT = 25.0

    # Timezones for the different exchanges
    _TZS = {
        'Europe/London': ('011', '024', '027', '036', '049', '092', '114',
                          # These are the global markets
                          '033', '034', '035', '043', '054', '096', '300',),

        'Europe/Berlin': ('005', '006', '008', '012', '013', '014', '015',
                          '017', '019', '025', '029', '030', '037', '038',
                          '052', '053', '060', '061', '072', '073', '074',
                          '075', '080', '093', '094', '097', '111', '112',
                          '113',),

        'Asia/Tokyo': ('031',),
        'Australia/Melbourne': ('032',),
        'America/Argentina/Buenos_Aires': ('044',),
        'America/Sao_Paulo': ('045',),
        'America/Mexico_City': ('046',),
        'America/Santiago': ('047',),

        'US/Eastern': ('003', '004', '009', '010', '028', '040', '041', '055',
                       '090', '095', '099',),
        'US/Central': ('001', '002', '020', '021', '022', '023', '056',),
    }

    # The global assets may have a different output timezoe
    _TZOUT = {
        '096.FTSE': 'Europe/London',
        '096.FTEU3': 'Europe/London',
        '096.MIB30': 'Europe/Berlin',
        '096.SSMI': 'Europe/Berlin',
        '096.HSI': 'Asia/Hong_Kong',
        '096.BVSP': 'America/Sao_Paulo',
        '096.MERVAL': 'America/Argentina/Buenos_Aires',
        '096.DJI': 'US/Eastern',
        '096.IXIC': 'US/Eastern',
        '096.NDX': 'US/Eastern',
    }

    # These global markets deliver data in local time dst adjuste unlike those
    # from above and need a readjustment
    _EXTRA_TIMEOFFSET = ('096',)

    _TIMEFRAME_BACKFILL = {
        TimeFrame.Ticks: timedelta(days=1),
        TimeFrame.MicroSeconds: timedelta(days=1),
        TimeFrame.Seconds: timedelta(days=1),
        TimeFrame.Minutes: timedelta(days=2),
        TimeFrame.Days: timedelta(days=365),
        TimeFrame.Weeks: timedelta(days=365*2),
        TimeFrame.Months: timedelta(days=365*5),
        TimeFrame.Years: timedelta(days=365*20),
    }

    def _timeoffset(self):
        '''Returns the calculated time offset local equipment -> data server'''
        return self._TOFFSET

    def _gettzinput(self):
        '''Returns the timezone to consider for the input data'''
        return self._gettz(tzin=True)

    def _gettz(self, tzin=False):
        '''Returns the default output timezone for the data

        This defaults to be the timezone in which the market is traded
        '''
        # If no object has been provided by the user and a timezone can be
        # found via contractdtails, then try to get it from pytz, which may or
        # may not be available.

        # The timezone specifications returned by TWS seem to be abbreviations
        # understood by pytz, but the full list which TWS may return is not
        # documented and one of the abbreviations may fail
        ptz = self.p.tz
        tzstr = isinstance(ptz, string_types)
        if ptz is not None and not tzstr:
            return bt.utils.date.Localizer(ptz)

        if self._state == self._ST_NOTFOUND:
            return None  # nothing else can be done

        if not self.p.usetimezones:
            return None

        try:
            import pytz  # keep the import very local
        except ImportError:
            return None  # nothing can be done

        # dataname 010ABCXXXXX -> ABC (3, 4 and 5) is market code
        if tzstr:
            tzs = ptz
        else:
            tzs = None

            if not tzin:
                if self.p.dataname in self._TZOUT:
                    tzs = self._TZOUT[self.p.dataname]

            if tzs is None:
                for mktz, mktcodes in self._TZS.items():
                    if self._mktcode in mktcodes:
                        tzs = mktz
                        break

            if tzs is None:
                return None

            if isinstance(tzs, tzinfo):
                return bt.utils.date.Localizer(tzs)

        if tzs:
            try:
                tz = pytz.timezone(tzs)
            except pytz.UnknownTimeZoneError:
                return None  # nothing can be done
        else:
            return None

        # contractdetails there, import ok, timezone found, return it
        return tz

    def islive(self):
        '''Returns ``True`` to notify ``Cerebro`` that preloading and runonce
        should be deactivated'''
        return True

    def __init__(self, **kwargs):
        self.store = vcstore.VCStore(**kwargs)

        # Correct a copy past directly from VisualChart
        dataname = self.p.dataname
        if dataname[3].isspace():
            dataname = dataname[0:2] + dataname[4:]
            self.p.dataname = dataname

        self._dataname = '010' + self.p.dataname
        self._mktcode = self.p.dataname[0:3]

        self._tradename = tradename = self.p.tradename or self._dataname
        # Correct a copy past directly from VisualChart
        if tradename[3].isspace():
            tradename = tradename[0:2] + tradename[4:]
            self._tradename = tradename

    def setenvironment(self, env):
        '''Receives an environment (cerebro) and passes it over to the store it
        belongs to'''
        super(VCData, self).setenvironment(env)
        env.addstore(self.store)

    def start(self):
        '''Starts the VC connecction and gets the real contract and
        contractdetails if it exists'''
        super(VCData, self).start()

        self._state = self._ST_START  # mini finite state machine

        self._newticks = True  # control processing of initial ticks

        self._pingtmout = self.PING_TIMEOUT  # Initial timeout for ping

        self.idx = 1  # counter for the dataserie (vb is based at 1)
        self.q = None  # where bars are received

        # market time offsets
        self._mktoffset = None
        self._mktoff1 = None
        self._mktoffdiff = None

        if not self.store.connected():
            # Not connected -> go away
            self.put_notification(self.DISCONNECTED)
            self._state = self._ST_NOTFOUND
            return

        self.put_notification(self.CONNECTED)
        # get real contract details with real conId (contractId)
        self.qrt = queue.Queue()  # to await a ping
        self.store._rtdata(self, self._dataname)
        symfound = self.qrt.get()
        if not symfound:
            # Kill any further action and signal it
            self.put_notification(self.NOTSUBSCRIBED)
            self.put_notification(self.DISCONNECTED)
            self._state = self._ST_NOTFOUND
            return

        if self.replaying:
            # In this case don't request the final
            # timeframe from vc, but the original that has to be replayed
            self._tf, self._comp = self.p.timeframe, self.p.compression
        else:
            # Else (even if resampling) pass the final timeframe which may
            # been modified by a resampling filter
            self._tf, self._comp = self._timeframe, self._compression,

        self._ticking = self.store._ticking(self._tf)
        self._syminfo = syminfo = self.store._symboldata(self._dataname)

        # For most markets:
        # mktoffset == mktoff1 and substracting this value from reported times
        # is enough to report the "market time". Visual Chart changes this from
        # a value X to 0 if the appropriate setting in the GUI is changed to
        # change display of time from local <-> market
        #
        # But some markets (at least 096XXX) that theoretically live in
        # Europe/London seem to be displaced 1 hour to the west and an extra
        # hour is needed.
        # These markets do also need "usetimezoned" True to actually display
        # the market time, because this is done internally using the
        # definitions in TZOUTS

        # Record and calculate market offsets
        self._mktoffset = timedelta(seconds=syminfo.TimeOffset)
        # Add millisecond to pusth HH:MM:59.999 -> 00.000 unless ticks
        if self.p.millisecond and not self._ticking:
            self._mktoffset -= self.MILLISECOND

        self._mktoff1 = self._mktoffset
        if self._mktcode in self._EXTRA_TIMEOFFSET:
            # These codes live theoretically in
            # (UTC+00:00) Dublin, Edinburgh, Lisbon, London which is
            # 'Europe/London'
            # But all experiments show the times to be displaced 1 hour to
            # the west and hence the extra 3600 seconds
            self._mktoffset -= timedelta(seconds=3600)

        self._mktoffdiff = self._mktoffset - self._mktoff1

        if self._state == self._ST_START:
            self.put_notification(self.DELAYED)

            # Now request the data and get a comms queue for it
            self.q = self.store._directdata(
                self,
                self._dataname,
                self._tf, self._comp,
                self.p.fromdate, self.p.todate,
                self.p.historical)

            self._state = self._ST_FEEDING

    def stop(self):
        '''Stops and tells the store to stop'''
        super(VCData, self).stop()
        if self.q:
            self.store._canceldirectdata(self.q)

    def _setserie(self, serie):
        # Accepts a serie (COM Object) to use in ping events
        self._serie = serie

    def haslivedata(self):
        return self._laststatus == self.LIVE and self.q

    def _load(self):
        if self._state == self._ST_NOTFOUND:
            return False  # nothing can be done

        while True:
            try:
                # tmout <> 0 only if resampling/replaying, else no waking up
                tmout = self._qcheck * bool(self.resampling)
                msg = self.q.get(timeout=tmout)
            except queue.Empty:
                return None

            if msg is None:
                return False  # end of stream

            if msg == self.store._RT_SHUTDOWN:
                self.put_notification(self.DISCONNECTED)
                return False  # VC has exited

            if msg == self.store._RT_DISCONNECTED:
                self.put_notification(self.CONNBROKEN)
                continue

            if msg == self.store._RT_CONNECTED:
                self.put_notification(self.CONNECTED)
                self.put_notification(self.DELAYED)
                continue

            if msg == self.store._RT_LIVE:
                if self._laststatus != self.LIVE:
                    self.put_notification(self.LIVE)
                continue

            if msg == self.store._RT_DELAYED:
                if self._laststatus != self.DELAYED:
                    self.put_notification(self.DELAYED)
                continue

            if isinstance(msg, integer_types):
                self.put_notification(self.UNKNOWN, msg)
                continue

            # it must be a bar
            bar = msg

            # Put the tick into the bar
            self.lines.open[0] = bar.Open
            self.lines.high[0] = bar.High
            self.lines.low[0] = bar.Low
            self.lines.close[0] = bar.Close
            self.lines.volume[0] = bar.Volume
            self.lines.openinterest[0] = bar.OpenInterest

            # Convert time to "market" time (096 exception)
            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffset
            self.lines.datetime[0] = date2num(dt)

            return True

    #
    # DS Events
    #
    def _getpingtmout(self):
        '''Returns the actual ping timeout for PumpEvents to wake up and call
        ping, which will check if the not yet delivered bar can be
        delivered. The bar may be stalled because vc awaits a new tick and
        during low negotiation hour this can take several seconds after the
        actual expected delivery time'''
        if self._ticking:
            return -1  # no timeout

        return self._pingtmout

    def OnNewDataSerieBar(self, DataSerie, forcepush=False):
        # Processes the COM Event (also called directly when 1st creating the
        # data serie
        ssize = DataSerie.Size

        if ssize - self.idx > 1:
            # More than 1 bar on-board -> delay in place
            if self._laststatus != self.DELAYED:
                self.q.put(self.store._RT_DELAYED)

        # return everything if original tf is ticks or force pushing
        ssize += forcepush or self._ticking
        for idx in range(self.idx, ssize):
            bar = DataSerie.GetBarValues(idx)
            self.q.put(bar)

        if not forcepush and not self._ticking and ssize:
            # A bar has been left in place
            dtnow = datetime.now() - self._TOFFSET  # adjust local time

            bar = DataSerie.GetBarValues(ssize)
            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffdiff
            if dtnow < dt:
                # A bar is there, not deliverable yet - LIVE
                if self._laststatus != self.LIVE:
                    self.q.put(self.store._RT_LIVE)

                # Adjust ping timeout to the bar boundary (plus mini leeway)
                self._pingtmout = (dt - dtnow).total_seconds() + 0.5

            else:
                self._pingtmout = self.PING_TIMEOUT  # no bar left, long pause
                self.q.put(bar)  # push bar and update index
                ssize += 1  # pushed last one out

        # Write down the last processed bar
        self.idx = max(1, ssize)

    def ping(self):
        ssize = self._serie.Size

        if self.idx > ssize:
            return  # no bar available

        if self._laststatus == self.CONNBROKEN:
            self._pingtmout = self.PING_TIMEOUT
            return  # do not push during disconnection

        dtnow = datetime.now() - self._TOFFSET
        # CHECK: there should be a maximum of 1 bar when pinging
        # In any case the algorithm doesn't hurt
        for idx in range(self.idx, ssize + 1):  # reach ssize
            bar = self._serie.GetBarValues(self.idx)
            # dt = (self.NULLDATE + timedelta(days=bar.Date) + self._mktoff1)
            dt = self.NULLDATE + timedelta(days=bar.Date) - self._mktoffdiff
            if dtnow < dt:
                self._pingtmout = (dt - dtnow).total_seconds() + 0.5
                break  # cannot deliver anything

            # Adjust ping timeout to the bar boundary (plus mini leeway)
            self._pingtmout = self.PING_TIMEOUT  # no bar, nothing to check
            self.q.put(bar)  # push bar and update index
            self.idx += 1

    #
    # RTEvents
    #
    # Can be used on a per data basis to check the connection status
    if False:
        def OnInternalEvent(self, p1, p2, p3):
            if p1 != 1:  # Apparently "Connection Event"
                return

            if p2 == self.lastconn:
                return  # do not notify twice

            self.lastconn = p2  # keep new notification code

            # p2 should be 0 (disconn), 1 (conn)
            self.store._vcrt_connection(self.store._RT_BASEMSG - p2)

    def OnNewTicks(self, ArrayTicks):
        # Process the COM Event for New Ticks. This is only used temporarily
        # for 2 purposes
        #
        # 1. If tick.Field == Field_Description is returned, it can be checked
        # if the requested symbol has been found or not (tick.Date == 0 -> not
        # found). tick.Text has 'Not Found', but this is more likely to change
        # Once Field_Description has been seen, the 2nd stage takes place
        #
        # 2. When a tick.Field == Field_Time is seen and tick.TickIndex == 0,
        # the 1st tick of a second is seen and the tick.Date value can be used
        # to calculate a time offset to the feed server. This is later used to
        # check if a bar is due delivery or not
        #
        # After this the reception of ticks is cancelled

        aticks = ArrayTicks[0]
        # self.debug_ticks(aticks)
        ticks = dict()
        for tick in aticks:
            ticks[tick.Field] = tick

        if self.store.vcrtmod.Field_Description in ticks:
            if self._newticks:
                self._newticks = False
                hasdate = bool(ticks.get(self.store.vcrtmod.Field_Date, False))
                self.qrt.put(hasdate)
                return

        else:
            try:
                tick = ticks[self.store.vcrtmod.Field_Time]
            except KeyError:
                return

            if tick.TickIndex == 0 and self._mktoff1 is not None:
                # Adjust the tick time using the mktoffset (with the 096 excep)
                dttick = (self.NULLDATE + timedelta(days=tick.Date) +
                          self._mktoff1)

                self._TOFFSET = datetime.now() - dttick
                if self._mktcode in self._EXTRA_TIMEOFFSET:
                    # These codes live theoretically in (UTC+00:00) Dublin,
                    # Edinburgh, Lisbon, London which is 'Europe/London'
                    # But all experiments show the times to be displaced 1
                    # hour to the west and hence the extra 3600 seconds
                    self._TOFFSET -= timedelta(seconds=3600)

                # Cancel ticks
                self._vcrt.CancelSymbolFeed(self._dataname, False)

    def debug_ticks(self, ticks):
        print('*' * 50, 'DEBUG OnNewTicks')
        for tick in ticks:
            print('-' * 40)
            print('tick.SymbolCode', tick.SymbolCode.encode('ascii', 'ignore'))
            fname = self.store.vcrtfields.get(tick.Field, tick.Field)
            print('  tick.Field   : {} ({})'.format(fname, tick.Field))
            print('  tick.FieldEx :', tick.FieldEx)
            tdate = tick.Date
            if tdate:
                tdate = self.NULLDATE + timedelta(days=tick.Date)
            print('  tick.Date    :', tdate)

            print('  tick.Index   :', tick.TickIndex)
            print('  tick.Value   :', tick.Value)
            print('  tick.Text    :', tick.Text.encode('ascii', 'ignore'))


================================================
FILE: backtrader/feeds/vchart.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime
import struct
import os.path

from .. import feed
from .. import TimeFrame
from ..utils import date2num


class VChartData(feed.DataBase):
    '''
    Support for `Visual Chart <www.visualchart.com>`_ binary on-disk files for
    both daily and intradaily formats.

    Note:

      - ``dataname``: to file or open file-like object

        If a file-like object is passed, the ``timeframe`` parameter will be
        used to determine which is the actual timeframe.

        Else the file extension (``.fd`` for daily and ``.min`` for intraday)
        will be used.
    '''

    def start(self):
        super(VChartData, self).start()

        # Not yet known if a extension is needed
        self.ext = ''

        if not hasattr(self.p.dataname, 'read'):
            # assume is a string because it has no write method

            if self.p.dataname.endswith('.fd'):
                self.p.timeframe = TimeFrame.Days
            elif self.p.dataname.endswith('.min'):
                self.p.timeframe = TimeFrame.Minutes
            else:
                # Neither fd nor min ... just the code, assign extension
                if self.p.timeframe == TimeFrame.Days:
                    self.ext = '.fd'
                else:
                    self.ext = '.min'

        if self.p.timeframe >= TimeFrame.Days:
            self.barsize = 28
            self.dtsize = 1
            self.barfmt = 'IffffII'
        else:
            self.dtsize = 2
            self.barsize = 32
            self.barfmt = 'IIffffII'

        self.f = None
        if hasattr(self.p.dataname, 'read'):
            # A file has been passed in (ex: from a GUI)
            self.f = self.p.dataname
        else:
            dataname = self.p.dataname + self.ext
            # Let an exception propagate
            self.f = open(dataname, 'rb')

    def stop(self):
        if self.f is not None:
            self.f.close()
            self.f = None

    def _load(self):
        if self.f is None:
            return False

        # Let an exception propagate to let the caller know
        bardata = self.f.read(self.barsize)
        if not bardata:
            return False

        bdata = struct.unpack(self.barfmt, bardata)

        # Years are stored as if they had 500 days
        y, md = divmod(bdata[0], 500)
        # Months are stored as if they had 32 days
        m, d = divmod(md, 32)
        dt = datetime.datetime(y, m, d)

        if self.dtsize > 1:  # Minute Bars
            # Daily Time is stored in seconds
            hhmm, ss = divmod(bdata[1], 60)
            hh, mm = divmod(hhmm, 60)
            dt = dt.replace(hour=hh, minute=mm, second=ss)

        self.lines.datetime[0] = date2num(dt)

        o, h, l, c, v, oi = bdata[self.dtsize:]
        self.lines.open[0] = o
        self.lines.high[0] = h
        self.lines.low[0] = l
        self.lines.close[0] = c
        self.lines.volume[0] = v
        self.lines.openinterest[0] = oi

        return True


class VChartFeed(feed.FeedBase):
    DataCls = VChartData

    params = (('basepath', ''),) + DataCls.params._gettuple()

    def _getdata(self, dataname, **kwargs):
        maincode = dataname[0:2]
        subcode = dataname[2:6]

        datapath = os.path.join(self.p.basepath,
                                'RealServer', 'Data',
                                maincode, subcode,  # 01 00XX
                                dataname)

        newkwargs = self.p._getkwargs()
        newkwargs.update(kwargs)
        kwargs['dataname'] = datapath
        return self.DataCls(**kwargs)


================================================
FILE: backtrader/feeds/vchartcsv.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime

from .. import feed
from .. import TimeFrame
from ..utils import date2num


class VChartCSVData(feed.CSVDataBase):
    '''
    Parses a `VisualChart <http://www.visualchart.com>`_ CSV exported file.

    Specific parameters (or specific meaning):

      - ``dataname``: The filename to parse or a file-like object
    '''

    vctframes = dict(
        I=TimeFrame.Minutes,
        D=TimeFrame.Days,
        W=TimeFrame.Weeks,
        M=TimeFrame.Months)

    def _loadline(self, linetokens):
        itokens = iter(linetokens)

        ticker = next(itokens)  # skip ticker name
        if not self._name:
            self._name = ticker

        # day/intraday indication
        timeframe = next(itokens)

        self._timeframe = self.vctframes[timeframe]

        dttxt = next(itokens)
        y, m, d = int(dttxt[0:4]), int(dttxt[4:6]), int(dttxt[6:8])

        tmtxt = next(itokens)
        if timeframe == 'I':
            # use the provided time
            hh, mmss = divmod(int(tmtxt), 10000)
            mm, ss = divmod(mmss, 100)
        else:
            # put it at the end of the session parameter
            hh = self.p.sessionend.hour
            mm = self.p.sessionend.minute
            ss = self.p.sessionend.second

        dtnum = date2num(datetime.datetime(y, m, d, hh, mm, ss))

        self.lines.datetime[0] = dtnum
        self.lines.open[0] = float(next(itokens))
        self.lines.high[0] = float(next(itokens))
        self.lines.low[0] = float(next(itokens))
        self.lines.close[0] = float(next(itokens))
        self.lines.volume[0] = float(next(itokens))
        self.lines.openinterest[0] = float(next(itokens))

        return True


class VChartCSV(feed.CSVFeedBase):
    DataCls = VChartCSVData


================================================
FILE: backtrader/feeds/vchartfile.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import datetime
from struct import unpack
import os.path

import backtrader as bt
from backtrader import date2num  # avoid dict lookups


class MetaVChartFile(bt.DataBase.__class__):
    def __init__(cls, name, bases, dct):
        '''Class has already been created ... register'''
        # Initialize the class
        super(MetaVChartFile, cls).__init__(name, bases, dct)

        # Register with the store
        bt.stores.VChartFile.DataCls = cls


class VChartFile(bt.with_metaclass(MetaVChartFile, bt.DataBase)):
    '''
    Support for `Visual Chart <www.visualchart.com>`_ binary on-disk files for
    both daily and intradaily formats.

    Note:

      - ``dataname``: Market code displayed by Visual Chart. Example: 015ES for
        EuroStoxx 50 continuous future
    '''

    def start(self):
        super(VChartFile, self).start()
        if self._store is None:
            self._store = bt.stores.VChartFile()
            self._store.start()

        self._store.start(data=self)

        # Choose extension and extraction/calculation parameters
        if self.p.timeframe < bt.TimeFrame.Minutes:
            ext = '.tck'  # seconds will still need resampling
            # FIXME: find reference to tick counter for format
        elif self.p.timeframe < bt.TimeFrame.Days:
            ext = '.min'
            self._dtsize = 2
            self._barsize = 32
            self._barfmt = 'IIffffII'
        else:
            ext = '.fd'
            self._barsize = 28
            self._dtsize = 1
            self._barfmt = 'IffffII'

        # Construct full path
        basepath = self._store.get_datapath()

        # Example: 01 + 0 + 015ES + .fd -> 010015ES.fd
        dataname = '01' + '0' + self.p.dataname + ext
        # 015ES -> 0 + 015 -> 0015
        mktcode = '0' + self.p.dataname[0:3]

        # basepath/0015/010015ES.fd
        path = os.path.join(basepath, mktcode, dataname)
        try:
            self.f = open(path, 'rb')
        except IOError:
            self.f = None

    def stop(self):
        if self.f is not None:
            self.f.close()
            self.f = None

    def _load(self):
        if self.f is None:
            return False  # cannot load more

        try:
            bardata = self.f.read(self._barsize)
        except IOError:
            self.f = None  # cannot return, nullify file
            return False  # cannot load more

        if not bardata or len(bardata) < self._barsize:
            self.f = None  # cannot return, nullify file
            return False  # cannot load more

        try:
            bdata = unpack(self._barfmt, bardata)
        except:
            self.f = None
            return False

        # First Date
        y, md = divmod(bdata[0], 500)  # Years stored as if they had 500 days
        m, d = divmod(md, 32)  # Months stored as if they had 32 days
        dt = datetime(y, m, d)

        # Time
        if self._dtsize > 1:  # Minute Bars
            # Daily Time is stored in seconds
            hhmm, ss = divmod(bdata[1], 60)
            hh, mm = divmod(hhmm, 60)
            dt = dt.replace(hour=hh, minute=mm, second=ss)
        else:  # Daily Bars
            dt = datetime.combine(dt, self.p.sessionend)

        self.lines.datetime[0] = date2num(dt)  # Store time

        # Get the rest of the fields
        o, h, l, c, v, oi = bdata[self._dtsize:]
        self.lines.open[0] = o
        self.lines.high[0] = h
        self.lines.low[0] = l
        self.lines.close[0] = c
        self.lines.volume[0] = v
        self.lines.openinterest[0] = oi

        return True  # a bar has been successfully loaded


================================================
FILE: backtrader/feeds/yahoo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from datetime import date, datetime
import io
import itertools

from ..utils.py3 import (urlopen, urlquote, ProxyHandler, build_opener,
                         install_opener)

import backtrader as bt
from .. import feed
from ..utils import date2num


class YahooFinanceCSVData(feed.CSVDataBase):
    '''
    Parses pre-downloaded Yahoo CSV Data Feeds (or locally generated if they
    comply to the Yahoo format)

    Specific parameters:

      - ``dataname``: The filename to parse or a file-like object

      - ``reverse`` (default: ``False``)

        It is assumed that locally stored files have already been reversed
        during the download process

      - ``adjclose`` (default: ``True``)

        Whether to use the dividend/split adjusted close and adjust all
        values according to it.

      - ``adjvolume`` (default: ``True``)

        Do also adjust ``volume`` if ``adjclose`` is also ``True``

      - ``round`` (default: ``True``)

        Whether to round the values to a specific number of decimals after
        having adjusted the close

      - ``roundvolume`` (default: ``0``)

        Round the resulting volume to the given number of decimals after having
        adjusted it

      - ``decimals`` (default: ``2``)

        Number of decimals to round to

      - ``swapcloses`` (default: ``False``)

        [2018-11-16] It would seem that the order of *close* and *adjusted
        close* is now fixed. The parameter is retained, in case the need to
        swap the columns again arose.

    '''
    lines = ('adjclose',)

    params = (
        ('reverse', False),
        ('adjclose', True),
        ('adjvolume', True),
        ('round', True),
        ('decimals', 2),
        ('roundvolume', False),
        ('swapcloses', False),
    )

    def start(self):
        super(YahooFinanceCSVData, self).start()

        if not self.params.reverse:
            return

        # Yahoo sends data in reverse order and the file is still unreversed
        dq = collections.deque()
        for line in self.f:
            dq.appendleft(line)

        f = io.StringIO(newline=None)
        f.writelines(dq)
        f.seek(0)
        self.f.close()
        self.f = f

    def _loadline(self, linetokens):
        while True:
            nullseen = False
            for tok in linetokens[1:]:
                if tok == 'null':
                    nullseen = True
                    linetokens = self._getnextline()  # refetch tokens
                    if not linetokens:
                        return False  # cannot fetch, go away

                    # out of for to carry on wiwth while True logic
                    break

            if not nullseen:
                break  # can proceed

        i = itertools.count(0)

        dttxt = linetokens[next(i)]
        dt = date(int(dttxt[0:4]), int(dttxt[5:7]), int(dttxt[8:10]))
        dtnum = date2num(datetime.combine(dt, self.p.sessionend))

        self.lines.datetime[0] = dtnum
        o = float(linetokens[next(i)])
        h = float(linetokens[next(i)])
        l = float(linetokens[next(i)])
        c = float(linetokens[next(i)])
        self.lines.openinterest[0] = 0.0

        # 2018-11-16 ... Adjusted Close seems to always be delivered after
        # the close and before the volume columns
        adjustedclose = float(linetokens[next(i)])
        try:
            v = float(linetokens[next(i)])
        except:  # cover the case in which volume is "null"
            v = 0.0

        if self.p.swapcloses:  # swap closing prices if requested
            c, adjustedclose = adjustedclose, c

        adjfactor = c / adjustedclose

        # in v7 "adjusted prices" seem to be given, scale back for non adj
        if self.params.adjclose:
            o /= adjfactor
            h /= adjfactor
            l /= adjfactor
            c = adjustedclose
            # If the price goes down, volume must go up and viceversa
            if self.p.adjvolume:
                v *= adjfactor

        if self.p.round:
            decimals = self.p.decimals
            o = round(o, decimals)
            h = round(h, decimals)
            l = round(l, decimals)
            c = round(c, decimals)

        v = round(v, self.p.roundvolume)

        self.lines.open[0] = o
        self.lines.high[0] = h
        self.lines.low[0] = l
        self.lines.close[0] = c
        self.lines.volume[0] = v
        self.lines.adjclose[0] = adjustedclose

        return True


class YahooLegacyCSV(YahooFinanceCSVData):
    '''
    This is intended to load files which were downloaded before Yahoo
    discontinued the original service in May-2017

    '''
    params = (
        ('version', ''),
    )


class YahooFinanceCSV(feed.CSVFeedBase):
    DataCls = YahooFinanceCSVData


class YahooFinanceData(YahooFinanceCSVData):
    '''
    Executes a direct download of data from Yahoo servers for the given time
    range.

    Specific parameters (or specific meaning):

      - ``dataname``

        The ticker to download ('YHOO' for Yahoo own stock quotes)

      - ``proxies``

        A dict indicating which proxy to go through for the download as in
        {'http': 'http://myproxy.com'} or {'http': 'http://127.0.0.1:8080'}

      - ``period``

        The timeframe to download data in. Pass 'w' for weekly and 'm' for
        monthly.

      - ``reverse``

        [2018-11-16] The latest incarnation of Yahoo online downloads returns
        the data in the proper order. The default value of ``reverse`` for the
        online download is therefore set to ``False``

      - ``adjclose``

        Whether to use the dividend/split adjusted close and adjust all values
        according to it.

      - ``urlhist``

        The url of the historical quotes in Yahoo Finance used to gather a
        ``crumb`` authorization cookie for the download

      - ``urldown``

        The url of the actual download server

      - ``retries``

        Number of times (each) to try to get a ``crumb`` cookie and download
        the data

      '''

    params = (
        ('proxies', {}),
        ('period', 'd'),
        ('reverse', False),
        ('urlhist', 'https://finance.yahoo.com/quote/{}/history'),
        ('urldown', 'https://query1.finance.yahoo.com/v7/finance/download'),
        ('retries', 3),
    )

    def start_v7(self):
        try:
            import requests
        except ImportError:
            msg = ('The new Yahoo data feed requires to have the requests '
                   'module installed. Please use pip install requests or '
                   'the method of your choice')
            raise Exception(msg)

        self.error = None
        url = self.p.urlhist.format(self.p.dataname)

        sesskwargs = dict()
        if self.p.proxies:
            sesskwargs['proxies'] = self.p.proxies

        crumb = None
        sess = requests.Session()
        sess.headers['User-Agent'] = 'backtrader'
        for i in range(self.p.retries + 1):  # at least once
            resp = sess.get(url, **sesskwargs)
            if resp.status_code != requests.codes.ok:
                continue

            txt = resp.text
            i = txt.find('CrumbStore')
            if i == -1:
                continue
            i = txt.find('crumb', i)
            if i == -1:
                continue
            istart = txt.find('"', i + len('crumb') + 1)
            if istart == -1:
                continue
            istart += 1
            iend = txt.find('"', istart)
            if iend == -1:
                continue

            crumb = txt[istart:iend]
            crumb = crumb.encode('ascii').decode('unicode-escape')
            break

        if crumb is None:
            self.error = 'Crumb not found'
            self.f = None
            return

        crumb = urlquote(crumb)

        # urldown/ticker?period1=posix1&period2=posix2&interval=1d&events=history&crumb=crumb

        # Try to download
        urld = '{}/{}'.format(self.p.urldown, self.p.dataname)

        urlargs = []
        posix = date(1970, 1, 1)
        if self.p.todate is not None:
            period2 = (self.p.todate.date() - posix).total_seconds()
            urlargs.append('period2={}'.format(int(period2)))

        if self.p.todate is not None:
            period1 = (self.p.fromdate.date() - posix).total_seconds()
            urlargs.append('period1={}'.format(int(period1)))

        intervals = {
            bt.TimeFrame.Days: '1d',
            bt.TimeFrame.Weeks: '1wk',
            bt.TimeFrame.Months: '1mo',
        }

        urlargs.append('interval={}'.format(intervals[self.p.timeframe]))
        urlargs.append('events=history')
        urlargs.append('crumb={}'.format(crumb))

        urld = '{}?{}'.format(urld, '&'.join(urlargs))
        f = None
        for i in range(self.p.retries + 1):  # at least once
            resp = sess.get(urld, **sesskwargs)
            if resp.status_code != requests.codes.ok:
                continue

            ctype = resp.headers['Content-Type']
            # Cover as many text types as possible for Yahoo changes
            if not ctype.startswith('text/'):
                self.error = 'Wrong content type: %s' % ctype
                continue  # HTML returned? wrong url?

            # buffer everything from the socket into a local buffer
            try:
                # r.encoding = 'UTF-8'
                f = io.StringIO(resp.text, newline=None)
            except Exception:
                continue  # try again if possible

            break

        self.f = f

    def start(self):
        self.start_v7()

        # Prepared a "path" file -  CSV Parser can take over
        super(YahooFinanceData, self).start()


class YahooFinance(feed.CSVFeedBase):
    DataCls = YahooFinanceData

    params = DataCls.params._gettuple()


================================================
FILE: backtrader/fillers.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from backtrader.utils.py3 import MAXINT, with_metaclass

from backtrader.metabase import MetaParams


class FixedSize(with_metaclass(MetaParams, object)):
    '''Returns the execution size for a given order using a *percentage* of the
    volume in a bar.

    This percentage is set with the parameter ``perc``

    Params:

      - ``size`` (default: ``None``)  maximum size to be executed. The actual
        volume of the bar at execution time is also a limit if smaller than the
        size

        If the value of this parameter evaluates to False, the entire volume
        of the bar will be used to match the order
    '''
    params = (('size', None),)

    def __call__(self, order, price, ago):
        size = self.p.size or MAXINT
        return min((order.data.volume[ago], abs(order.executed.remsize), size))


class FixedBarPerc(with_metaclass(MetaParams, object)):
    '''Returns the execution size for a given order using a *percentage* of the
    volume in a bar.

    This percentage is set with the parameter ``perc``

    Params:

      - ``perc`` (default: ``100.0``) (valied values: ``0.0 - 100.0``)

        Percentage of the volume bar to use to execute an order
    '''
    params = (('perc', 100.0),)

    def __call__(self, order, price, ago):
        # Get the volume and scale it to the requested perc
        maxsize = (order.data.volume[ago] * self.p.perc) // 100
        # Return the maximum possible executed volume
        return min(maxsize, abs(order.executed.remsize))


class BarPointPerc(with_metaclass(MetaParams, object)):
    '''Returns the execution size for a given order. The volume will be
    distributed uniformly in the range *high*-*low* using ``minmov`` to
    partition.

    From the allocated volume for the given price, the ``perc`` percentage will
    be used

    Params:

      - ``minmov`` (default: ``0.01``)

        Minimum price movement. Used to partition the range *high*-*low* to
        proportionally distribute the volume amongst possible prices

      - ``perc`` (default: ``100.0``) (valied values: ``0.0 - 100.0``)

        Percentage of the volume allocated to the order execution price to use
        for matching

    '''
    params = (
        ('minmov', None),
        ('perc', 100.0),
    )

    def __call__(self, order, price, ago):
        data = order.data
        minmov = self.p.minmov

        parts = 1
        if minmov:
            # high - low + minmov to account for open ended minus op
            parts = (data.high[ago] - data.low[ago] + minmov) // minmov

        alloc_vol = ((data.volume[ago] / parts) * self.p.perc) // 100.0

        # return max possible executable volume
        return min(alloc_vol, abs(order.executed.remsize))


================================================
FILE: backtrader/filters/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .. import Filter

from .datafilter import *
from .datafiller import *
from .session import *
from .calendardays import *
from .daysteps import *
from .bsplitter import *
from .heikinashi import *
from .renko import *


================================================
FILE: backtrader/filters/bsplitter.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime

import backtrader as bt


class DaySplitter_Close(bt.with_metaclass(bt.MetaParams, object)):
    '''
    Splits a daily bar in two parts simulating 2 ticks which will be used to
    replay the data:

      - First tick: ``OHLX``

        The ``Close`` will be replaced by the *average* of ``Open``, ``High``
        and ``Low``

        The session opening time is used for this tick

      and

      - Second tick: ``CCCC``

        The ``Close`` price will be used for the four components of the price

        The session closing time is used for this tick

    The volume will be split amongst the 2 ticks using the parameters:

      - ``closevol`` (default: ``0.5``) The value indicate which percentage, in
        absolute terms from 0.0 to 1.0, has to be assigned to the *closing*
        tick. The rest will be assigned to the ``OHLX`` tick.

    **This filter is meant to be used together with** ``cerebro.replaydata``

    '''
    params = (
        ('closevol', 0.5),  # 0 -> 1 amount of volume to keep for close
    )

    # replaying = True

    def __init__(self, data):
        self.lastdt = None

    def __call__(self, data):
        # Make a copy of the new bar and remove it from stream
        datadt = data.datetime.date()  # keep the date

        if self.lastdt == datadt:
            return False  # skip bars that come again in the filter

        self.lastdt = datadt  # keep ref to last seen bar

        # Make a copy of current data for ohlbar
        ohlbar = [data.lines[i][0] for i in range(data.size())]
        closebar = ohlbar[:]  # Make a copy for the close

        # replace close price with o-h-l average
        ohlprice = ohlbar[data.Open] + ohlbar[data.High] + ohlbar[data.Low]
        ohlbar[data.Close] = ohlprice / 3.0

        vol = ohlbar[data.Volume]  # adjust volume
        ohlbar[data.Volume] = vohl = int(vol * (1.0 - self.p.closevol))

        oi = ohlbar[data.OpenInterest]  # adjust open interst
        ohlbar[data.OpenInterest] = 0

        # Adjust times
        dt = datetime.datetime.combine(datadt, data.p.sessionstart)
        ohlbar[data.DateTime] = data.date2num(dt)

        # Ajust closebar to generate a single tick -> close price
        closebar[data.Open] = cprice = closebar[data.Close]
        closebar[data.High] = cprice
        closebar[data.Low] = cprice
        closebar[data.Volume] = vol - vohl
        ohlbar[data.OpenInterest] = oi

        # Adjust times
        dt = datetime.datetime.combine(datadt, data.p.sessionend)
        closebar[data.DateTime] = data.date2num(dt)

        # Update stream
        data.backwards(force=True)  # remove the copied bar from stream
        data._add2stack(ohlbar)  # add ohlbar to stack
        # Add 2nd part to stash to delay processing to next round
        data._add2stack(closebar, stash=True)

        return False  # initial tick can be further processed from stack


================================================
FILE: backtrader/filters/calendardays.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import date, datetime, timedelta

from backtrader import TimeFrame
from backtrader.utils.py3 import with_metaclass
from .. import metabase


class CalendarDays(with_metaclass(metabase.MetaParams, object)):
    '''
    Bar Filler to add missing calendar days to trading days

    Params:

      - fill_price (def: None):

        > 0: The given value to fill
        0 or None: Use the last known closing price
        -1: Use the midpoint of the last bar (High-Low average)

      - fill_vol (def: float('NaN')):

        Value to use to fill the missing volume

      - fill_oi (def: float('NaN')):

        Value to use to fill the missing Open Interest
    '''
    params = (('fill_price', None),
              ('fill_vol', float('NaN')),
              ('fill_oi', float('NaN')),)

    ONEDAY = timedelta(days=1)
    lastdt = date.max

    def __init__(self, data):
        pass

    def __call__(self, data):
        '''
        If the data has a gap larger than 1 day amongst bars, the missing bars
        are added to the stream.

        Params:
          - data: the data source to filter/process

        Returns:
          - False (always): this filter does not remove bars from the stream

        '''
        dt = data.datetime.date()
        if (dt - self.lastdt) > self.ONEDAY:  # gap in place
            self._fillbars(data, dt, self.lastdt)

        self.lastdt = dt
        return False  # no bar has been removed from the stream

    def _fillbars(self, data, dt, lastdt):
        '''
        Fills one by one bars as needed from time_start to time_end

        Invalidates the control dtime_prev if requested
        '''
        tm = data.datetime.time(0)  # get time part

        # Same price for all bars
        if self.p.fill_price > 0:
            price = self.p.fill_price
        elif not self.p.fill_price:
            price = data.close[-1]
        elif self.p.fill_price == -1:
            price = (data.high[-1] + data.low[-1]) / 2.0

        while lastdt < dt:
            lastdt += self.ONEDAY

            # Prepare an array of the needed size
            bar = [float('Nan')] * data.size()
            # Fill the datetime
            bar[data.DateTime] = data.date2num(datetime.combine(lastdt, tm))

            # Fill price fields
            for pricetype in [data.Open, data.High, data.Low, data.Close]:
                bar[pricetype] = price

            # Fill volume and open interest
            bar[data.Volume] = self.p.fill_vol
            bar[data.OpenInterest] = self.p.fill_oi

            # Fill extra lines the data feed may have defined beyond DateTime
            for i in range(data.DateTime + 1, data.size()):
                bar[i] = data.lines[i][0]

            # Add this constructed bar to the stack of the stream
            data._add2stack(bar)

        # Save to stack the bar that signaled the gap
        data._save2stack(erase=True)


================================================
FILE: backtrader/filters/datafiller.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from datetime import datetime, timedelta

from backtrader import AbstractDataBase, TimeFrame


class DataFiller(AbstractDataBase):
    '''This class will fill gaps in the source data using the following
    information bits from the underlying data source

      - timeframe and compression to dimension the output bars

      - sessionstart and sessionend

    If a data feed has missing bars in between 10:31 and 10:34 and the
    timeframe is minutes, the output will be filled with bars for minutes
    10:32 and 10:33 using the closing price of the last bar (10:31)

    Bars can be missinga amongst other things because

    Params:
      - ``fill_price`` (def: None): if None (or evaluates to False),the
        closing price will be used, else the passed value (which can be
        for example 'NaN' to have a missing bar in terms of evaluation but
        present in terms of time

      - ``fill_vol`` (def: NaN): used to fill the volume of missing bars

      - ``fill_oi`` (def: NaN): used to fill the openinterest of missing bars
    '''

    params = (
        ('fill_price', None),
        ('fill_vol', float('NaN')),
        ('fill_oi', float('NaN')),
        )

    def start(self):
        super(DataFiller, self).start()
        self._fillbars = collections.deque()
        self._dbar = False

    def preload(self):
        if len(self.p.dataname) == self.p.dataname.buflen():
            # if data is not preloaded .... do it
            self.p.dataname.start()
            self.p.dataname.preload()
            self.p.dataname.home()

        # Copy timeframe from data after start (some sources do autodetection)
        self.p.timeframe = self._timeframe = self.p.dataname._timeframe
        self.p.compression = self._compression = self.p.dataname._compression

        super(DataFiller, self).preload()

    def _copyfromdata(self):
        # Data is allowed - Copy size which is "number of lines"
        for i in range(self.p.dataname.size()):
            self.lines[i][0] = self.p.dataname.lines[i][0]

        self._dbar = False  # invalidate flag for read bar

        return True

    def _frombars(self):
        dtime, price = self._fillbars.popleft()

        price = self.p.fill_price or price

        self.lines.datetime[0] = self.p.dataname.date2num(dtime)
        self.lines.open[0] = price
        self.lines.high[0] = price
        self.lines.low[0] = price
        self.lines.close[0] = price
        self.lines.volume[0] = self.p.fill_vol
        self.lines.openinterest[0] = self.p.fill_oi

        return True

    # Minimum delta unit in between bars
    _tdeltas = {
        TimeFrame.Minutes: timedelta(seconds=60),
        TimeFrame.Seconds: timedelta(seconds=1),
        TimeFrame.MicroSeconds: timedelta(microseconds=1),
    }

    def _load(self):
        if not len(self.p.dataname):
            self.p.dataname.start()  # start data if not done somewhere else

            # Copy from underlying data
            self._timeframe = self.p.dataname._timeframe
            self._compression = self.p.dataname._compression

            self.p.timeframe = self._timeframe
            self.p.compression = self._compression

            # Calculate and save timedelta for timeframe
            self._tdunit = self._tdeltas[self._timeframe]
            self._tdunit *= self._compression

        if self._fillbars:
            return self._frombars()

        # use existing bar or fetch a bar
        self._dbar = self._dbar or self.p.dataname.next()
        if not self._dbar:
            return False  # no more data

        if len(self) == 1:
            # Cannot yet look backwards - deliver data as is
            return self._copyfromdata()

        # previous (delivered) close
        pclose = self.lines.close[-1]
        # Get time of previous (already delivered) bar
        dtime_prev = self.lines.datetime.datetime(-1)
        # Get time of current (from data source) bar
        dtime_cur = self.p.dataname.datetime.datetime(0)

        # Calculate session end for previous bar
        send = datetime.combine(dtime_prev.date(), self.p.dataname.sessionend)

        if dtime_cur > send:  # if jumped boundary
            # 1. check for missing bars until boundary (end)
            dtime_prev += self._tdunit
            while dtime_prev < send:
                self._fillbars.append((dtime_prev, pclose))
                dtime_prev += self._tdunit

            # Calculate session start for new bar
            sstart = datetime.combine(
                dtime_cur.date(), self.p.dataname.sessionstart)

            # 2. check for missing bars from new boundary (start)
            # check gap from new sessionstart
            while sstart < dtime_cur:
                self._fillbars.append((sstart, pclose))
                sstart += self._tdunit
        else:
            # no boundary jumped - check gap until current time
            dtime_prev += self._tdunit
            while dtime_prev < dtime_cur:
                self._fillbars.append((dtime_prev, pclose))
                dtime_prev += self._tdunit

        if self._fillbars:
            self._dbar = True  # flag a pending data bar is available

            # return an accumulated bar in current cycle
            return self._frombars()

        return self._copyfromdata()


================================================
FILE: backtrader/filters/datafilter.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt


class DataFilter(bt.AbstractDataBase):
    '''
    This class filters out bars from a given data source. In addition to the
    standard parameters of a DataBase it takes a ``funcfilter`` parameter which
    can be any callable

    Logic:

      - ``funcfilter`` will be called with the underlying data source

        It can be any callable

        - Return value ``True``: current data source bar values will used
        - Return value ``False``: current data source bar values will discarded
    '''
    params = (('funcfilter', None),)

    def preload(self):
        if len(self.p.dataname) == self.p.dataname.buflen():
            # if data is not preloaded .... do it
            self.p.dataname.start()
            self.p.dataname.preload()
            self.p.dataname.home()

        # Copy timeframe from data after start (some sources do autodetection)
        self.p.timeframe = self._timeframe = self.p.dataname._timeframe
        self.p.compression = self._compression = self.p.dataname._compression

        super(DataFilter, self).preload()

    def _load(self):
        if not len(self.p.dataname):
            self.p.dataname.start()  # start data if not done somewhere else

        # Tell underlying source to get next data
        while self.p.dataname.next():
            # Try to load the data from the underlying source
            if not self.p.funcfilter(self.p.dataname):
                continue

            # Data is allowed - Copy size which is "number of lines"
            for i in range(self.p.dataname.size()):
                self.lines[i][0] = self.p.dataname.lines[i][0]

            return True

        return False  # no more data from underlying source


================================================
FILE: backtrader/filters/daysteps.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


class BarReplayer_Open(object):
    '''
    This filters splits a bar in two parts:

      - ``Open``: the opening price of the bar will be used to deliver an
        initial price bar in which the four components (OHLC) are equal

        The volume/openinterest fields are 0 for this initial bar

      - ``OHLC``: the original bar is delivered complete with the original
        ``volume``/``openinterest``

    The split simulates a replay without the need to use the *replay* filter.
    '''
    def __init__(self, data):
        self.pendingbar = None
        data.resampling = 1
        data.replaying = True

    def __call__(self, data):
        ret = True

        # Make a copy of the new bar and remove it from stream
        newbar = [data.lines[i][0] for i in range(data.size())]
        data.backwards()  # remove the copied bar from stream

        openbar = newbar[:]  # Make an open only bar
        o = newbar[data.Open]
        for field_idx in [data.High, data.Low, data.Close]:
            openbar[field_idx] = o

        # Nullify Volume/OpenInteres at the open
        openbar[data.Volume] = 0.0
        openbar[data.OpenInterest] = 0.0

        # Overwrite the new data bar with our pending data - except start point
        if self.pendingbar is not None:
            data._updatebar(self.pendingbar)
            ret = False

        self.pendingbar = newbar  # update the pending bar to the new bar
        data._add2stack(openbar)  # Add the openbar to the stack for processing

        return ret  # the length of the stream was not changed

    def last(self, data):
        '''Called when the data is no longer producing bars
        Can be called multiple times. It has the chance to (for example)
        produce extra bars'''
        if self.pendingbar is not None:
            data.backwards()  # remove delivered open bar
            data._add2stack(self.pendingbar)  # add remaining
            self.pendingbar = None  # No further action
            return True  # something delivered

        return False  # nothing delivered here


# Alias
DayStepsFilter = BarReplayer_Open


================================================
FILE: backtrader/filters/heikinashi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


__all__ = ['HeikinAshi']


class HeikinAshi(object):
    '''
    The filter remodels the open, high, low, close to make HeikinAshi
    candlesticks

    See:
      - https://en.wikipedia.org/wiki/Candlestick_chart#Heikin_Ashi_candlesticks
      - http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:heikin_ashi

    '''
    def __init__(self, data):
        pass

    def __call__(self, data):
        o, h, l, c = data.open[0], data.high[0], data.low[0], data.close[0]

        data.close[0] = ha_close0 = (o + h + l + c) / 4.0

        if len(data) > 1:
            data.open[0] = ha_open0 = (data.open[-1] + data.close[-1]) / 2.0
            data.high[0] = max(ha_open0, ha_close0, h)
            data.low[0] = min(ha_open0, ha_close0, l)

        else:  # len is 1, no lookback is possible
            data.open[0] = ha_open0 = (o + c) / 2.0

        return False  # length of data stream is unaltered


================================================
FILE: backtrader/filters/renko.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import Filter


__all__ = ['Renko']


class Renko(Filter):
    '''Modify the data stream to draw Renko bars (or bricks)

    Params:

      - ``hilo`` (default: *False*) Use high and low instead of close to decide
        if a new brick is needed

      - ``size`` (default: *None*) The size to consider for each brick

      - ``autosize`` (default: *20.0*) If *size* is *None*, this will be used
        to autocalculate the size of the bricks (simply dividing the current
        price by the given value)

      - ``dynamic`` (default: *False*) If *True* and using *autosize*, the size
        of the bricks will be recalculated when moving to a new brick. This
        will of course eliminate the perfect alignment of Renko bricks.

      - ``align`` (default: *1.0*) Factor use to align the price boundaries of
        the bricks. If the price is for example *3563.25* and *align* is
        *10.0*, the resulting aligned price will be *3560*. The calculation:

          - 3563.25 / 10.0 = 356.325
          - round it and remove the decimals -> 356
          - 356 * 10.0 -> 3560

      - ``roundstart`` (default: *True*)  If *True*, round the initial start
        value to int. Else keep the original value, which should aid when
        backtesting penny stocks

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:renko

    '''

    params = (
        ('hilo', False),
        ('size', None),
        ('autosize', 20.0),
        ('dynamic', False),
        ('align', 1.0),
        ('roundstart', True),
    )

    def nextstart(self, data):
        o = data.open[0]
        o = round(o / self.p.align, 0) * self.p.align  # aligned
        self._size = self.p.size or float(o // self.p.autosize)
        if self.p.roundstart:
            o = int(o)

        self._top = o + self._size
        self._bot = o - self._size

    def next(self, data):
        c = data.close[0]
        h = data.high[0]
        l = data.low[0]

        if self.p.hilo:
            hiprice = h
            loprice = l
        else:
            hiprice = loprice = c

        if hiprice >= self._top:
            # deliver a renko brick from top -> top + size
            self._bot = bot = self._top

            if self.p.size is None and self.p.dynamic:
                self._size = float(c // self.p.autosize)
                top = bot + self._size
                top = round(top / self.p.align, 0) * self.p.align  # aligned
            else:
                top = bot + self._size

            self._top = top

            data.open[0] = bot
            data.low[0] = bot
            data.high[0] = top
            data.close[0] = top
            data.volume[0] = 0.0
            data.openinterest[0] = 0.0
            return False  # length of data stream is unaltered

        elif loprice <= self._bot:
            # deliver a renko brick from bot -> bot - size
            self._top = top = self._bot

            if self.p.size is None and self.p.dynamic:
                self._size = float(c // self.p.autosize)
                bot = top - self._size
                bot = round(bot / self.p.align, 0) * self.p.align  # aligned
            else:
                bot = top - self._size

            self._bot = bot

            data.open[0] = top
            data.low[0] = top
            data.high[0] = bot
            data.close[0] = bot
            data.volume[0] = 0.0
            data.openinterest[0] = 0.0
            return False  # length of data stream is unaltered

        data.backwards()
        return True  # length of stream was changed, get new bar


================================================
FILE: backtrader/filters/session.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from datetime import datetime, timedelta

from backtrader import TimeFrame
from backtrader.utils.py3 import with_metaclass
from .. import metabase


class SessionFiller(with_metaclass(metabase.MetaParams, object)):
    '''
    Bar Filler for a Data Source inside the declared session start/end times.

    The fill bars are constructed using the declared Data Source ``timeframe``
    and ``compression`` (used to calculate the intervening missing times)

    Params:

      - fill_price (def: None):

        If None is passed, the closing price of the previous bar will be
        used. To end up with a bar which for example takes time but it is not
        displayed in a plot ... use float('Nan')

      - fill_vol (def: float('NaN')):

        Value to use to fill the missing volume

      - fill_oi (def: float('NaN')):

        Value to use to fill the missing Open Interest

      - skip_first_fill (def: True):

        Upon seeing the 1st valid bar do not fill from the sessionstart up to
        that bar
    '''
    params = (('fill_price', None),
              ('fill_vol', float('NaN')),
              ('fill_oi', float('NaN')),
              ('skip_first_fill', True))

    MAXDATE = datetime.max

    # Minimum delta unit in between bars
    _tdeltas = {
        TimeFrame.Minutes: timedelta(seconds=60),
        TimeFrame.Seconds: timedelta(seconds=1),
        TimeFrame.MicroSeconds: timedelta(microseconds=1),
    }

    def __init__(self, data):
        # Calculate and save timedelta for timeframe
        self._tdframe = self._tdeltas[data._timeframe]
        self._tdunit = self._tdeltas[data._timeframe] * data._compression

        self.seenbar = False  # control if at least one bar has been seen
        self.sessend = self.MAXDATE  # maxdate is the control for session bar

    def __call__(self, data):
        '''
        Params:
          - data: the data source to filter/process

        Returns:
          - False (always) because this filter does not remove bars from the
        stream

        The logic (starting with a session end control flag of MAXDATE)

          - If new bar is over session end (never true for 1st bar)

            Fill up to session end. Reset sessionend to MAXDATE & fall through

          - If session end is flagged as MAXDATE

            Recalculate session limits and check whether the bar is within them

            if so, fill up and record the last seen tim

          - Else ... the incoming bar is in the session, fill up to it
        '''
        # Get time of current (from data source) bar
        ret = False

        dtime_cur = data.datetime.datetime()

        if dtime_cur > self.sessend:
            # bar over session end - fill up and invalidate
            # Do not put current bar in stack to let it be evaluated below
            # Fill up to endsession + smallest unit of timeframe
            ret = self._fillbars(data, self.dtime_prev,
                                 self.sessend + self._tdframe,
                                 tostack=False)
            self.sessend = self.MAXDATE

        # Fall through from previous check ... the bar which is over the
        # session could already be in a new session and within the limits
        if self.sessend == self.MAXDATE:
            # No bar seen yet or one went over previous session limit
            ddate = dtime_cur.date()
            sessstart = datetime.combine(ddate, data.p.sessionstart)
            self.sessend = sessend = datetime.combine(ddate, data.p.sessionend)

            if sessstart <= dtime_cur <= sessend:
                # 1st bar from session in the session - fill from session start
                if self.seenbar or not self.p.skip_first_fill:
                    ret = self._fillbars(data,
                                         sessstart - self._tdunit, dtime_cur)

            self.seenbar = True
            self.dtime_prev = dtime_cur

        else:
            # Seen a previous bar and this is in the session - fill up to it
            ret = self._fillbars(data, self.dtime_prev, dtime_cur)
            self.dtime_prev = dtime_cur

        return ret

    def _fillbars(self, data, time_start, time_end, tostack=True):
        '''
        Fills one by one bars as needed from time_start to time_end

        Invalidates the control dtime_prev if requested
        '''
        # Control flag - bars added to the stack
        dirty = 0

        time_start += self._tdunit
        while time_start < time_end:
            dirty += self._fillbar(data, time_start)
            time_start += self._tdunit

        if dirty and tostack:
            data._save2stack(erase=True)

        return bool(dirty) or not tostack

    def _fillbar(self, data, dtime):
        # Prepare an array of the needed size
        bar = [float('Nan')] * data.size()

        # Fill datetime
        bar[data.DateTime] = data.date2num(dtime)

        # Fill the prices
        price = self.p.fill_price or data.close[-1]
        for pricetype in [data.Open, data.High, data.Low, data.Close]:
            bar[pricetype] = price

        # Fill volume and open interest
        bar[data.Volume] = self.p.fill_vol
        bar[data.OpenInterest] = self.p.fill_oi

        # Fill extra lines the data feed may have defined beyond DateTime
        for i in range(data.DateTime + 1, data.size()):
            bar[i] = data.lines[i][0]

        # Add tot he stack of bars to save
        data._add2stack(bar)

        return True


class SessionFilterSimple(with_metaclass(metabase.MetaParams, object)):
    '''
    This class can be applied to a data source as a filter and will filter out
    intraday bars which fall outside of the regular session times (ie: pre/post
    market data)

    This is a "simple" filter and must NOT manage the stack of the data (passed
    during init and __call__)

    It needs no "last" method because it has nothing to deliver

    Bar Management will be done by the SimpleFilterWrapper class made which is
    added durint the DataBase.addfilter_simple call
    '''
    def __init__(self, data):
        pass

    def __call__(self, data):
        '''
        Return Values:

          - False: nothing to filter
          - True: filter current bar (because it's not in the session times)
        '''
        # Both ends of the comparison are in the session
        return not (
            data.p.sessionstart <= data.datetime.time(0) <= data.p.sessionend)


class SessionFilter(with_metaclass(metabase.MetaParams, object)):
    '''
    This class can be applied to a data source as a filter and will filter out
    intraday bars which fall outside of the regular session times (ie: pre/post
    market data)

    This is a "non-simple" filter and must manage the stack of the data (passed
    during init and __call__)

    It needs no "last" method because it has nothing to deliver
    '''
    def __init__(self, data):
        pass

    def __call__(self, data):
        '''
        Return Values:

          - False: data stream was not touched
          - True: data stream was manipulated (bar outside of session times and
          - removed)
        '''
        if data.p.sessionstart <= data.datetime.time(0) <= data.p.sessionend:
            # Both ends of the comparison are in the session
            return False  # say the stream is untouched

        # bar outside of the regular session times
        data.backwards()  # remove bar from data stack
        return True  # signal the data was manipulated


================================================
FILE: backtrader/flt.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .metabase import MetaParams
from .utils.py3 import with_metaclass


__all__ = ['Filter']


class MetaFilter(MetaParams):
    pass


class Filter(with_metaclass(MetaParams, object)):

    _firsttime = True

    def __init__(self, data):
        pass

    def __call__(self, data):
        if self._firsttime:
            self.nextstart(data)
            self._firsttime = False

        self.next(data)

    def nextstart(self, data):
        pass

    def next(self, data):
        pass


================================================
FILE: backtrader/functions.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import functools
import math

from .linebuffer import LineActions
from .utils.py3 import cmp, range


# Generate a List equivalent which uses "is" for contains
class List(list):
    def __contains__(self, other):
        return any(x.__hash__() == other.__hash__() for x in self)


class Logic(LineActions):
    def __init__(self, *args):
        super(Logic, self).__init__()
        self.args = [self.arrayize(arg) for arg in args]


class DivByZero(Logic):
    '''This operation is a Lines object and fills it values by executing a
    division on the numerator / denominator arguments and avoiding a division
    by zero exception by checking the denominator

    Params:
      - a: numerator (numeric or iterable object ... mostly a Lines object)
      - b: denominator (numeric or iterable object ... mostly a Lines object)
      - zero (def: 0.0): value to apply if division by zero would be raised

    '''
    def __init__(self, a, b, zero=0.0):
        super(DivByZero, self).__init__(a, b)
        self.a = a
        self.b = b
        self.zero = zero

    def next(self):
        b = self.b[0]
        self[0] = self.a[0] / b if b else self.zero

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array
        zero = self.zero

        for i in range(start, end):
            b = srcb[i]
            dst[i] = srca[i] / b if b else zero


class DivZeroByZero(Logic):
    '''This operation is a Lines object and fills it values by executing a
    division on the numerator / denominator arguments and avoiding a division
    by zero exception or an indetermination by checking the
    denominator/numerator pair

    Params:
      - a: numerator (numeric or iterable object ... mostly a Lines object)
      - b: denominator (numeric or iterable object ... mostly a Lines object)
      - single (def: +inf): value to apply if division is x / 0
      - dual (def: 0.0): value to apply if division is 0 / 0
    '''
    def __init__(self, a, b, single=float('inf'), dual=0.0):
        super(DivZeroByZero, self).__init__(a, b)
        self.a = a
        self.b = b
        self.single = single
        self.dual = dual

    def next(self):
        b = self.b[0]
        a = self.a[0]
        if b == 0.0:
            self[0] = self.dual if a == 0.0 else self.single
        else:
            self[0] = self.a[0] / b

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array
        single = self.single
        dual = self.dual

        for i in range(start, end):
            b = srcb[i]
            a = srca[i]
            if b == 0.0:
                dst[i] = dual if a == 0.0 else single
            else:
                dst[i] = a / b


class Cmp(Logic):
    def __init__(self, a, b):
        super(Cmp, self).__init__(a, b)
        self.a = self.args[0]
        self.b = self.args[1]

    def next(self):
        self[0] = cmp(self.a[0], self.b[0])

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array

        for i in range(start, end):
            dst[i] = cmp(srca[i], srcb[i])


class CmpEx(Logic):
    def __init__(self, a, b, r1, r2, r3):
        super(CmpEx, self).__init__(a, b, r1, r2, r3)
        self.a = self.args[0]
        self.b = self.args[1]
        self.r1 = self.args[2]
        self.r2 = self.args[3]
        self.r3 = self.args[4]

    def next(self):
        self[0] = cmp(self.a[0], self.b[0])

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array
        r1 = self.r1.array
        r2 = self.r2.array
        r3 = self.r3.array

        for i in range(start, end):
            ai = srca[i]
            bi = srcb[i]

            if ai < bi:
                dst[i] = r1[i]
            elif ai > bi:
                dst[i] = r3[i]
            else:
                dst[i] = r2[i]


class If(Logic):
    def __init__(self, cond, a, b):
        super(If, self).__init__(a, b)
        self.a = self.args[0]
        self.b = self.args[1]
        self.cond = self.arrayize(cond)

    def next(self):
        self[0] = self.a[0] if self.cond[0] else self.b[0]

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array
        cond = self.cond.array

        for i in range(start, end):
            dst[i] = srca[i] if cond[i] else srcb[i]


class MultiLogic(Logic):
    def next(self):
        self[0] = self.flogic([arg[0] for arg in self.args])

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        arrays = [arg.array for arg in self.args]
        flogic = self.flogic

        for i in range(start, end):
            dst[i] = flogic([arr[i] for arr in arrays])


class MultiLogicReduce(MultiLogic):
    def __init__(self, *args, **kwargs):
        super(MultiLogicReduce, self).__init__(*args)
        if 'initializer' not in kwargs:
            self.flogic = functools.partial(functools.reduce, self.flogic)
        else:
            self.flogic = functools.partial(functools.reduce, self.flogic,
                                            initializer=kwargs['initializer'])


class Reduce(MultiLogicReduce):
    def __init__(self, flogic, *args, **kwargs):
        self.flogic = flogic
        super(Reduce, self).__init__(*args, **kwargs)


# The _xxxlogic functions are defined at module scope to make them
# pickable and therefore compatible with multiprocessing
def _andlogic(x, y):
    return bool(x and y)


class And(MultiLogicReduce):
    flogic = staticmethod(_andlogic)


def _orlogic(x, y):
    return bool(x or y)


class Or(MultiLogicReduce):
    flogic = staticmethod(_orlogic)


class Max(MultiLogic):
    flogic = max


class Min(MultiLogic):
    flogic = min


class Sum(MultiLogic):
    flogic = math.fsum


class Any(MultiLogic):
    flogic = any


class All(MultiLogic):
    flogic = all


================================================
FILE: backtrader/indicator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .utils.py3 import range, with_metaclass

from .lineiterator import LineIterator, IndicatorBase
from .lineseries import LineSeriesMaker, Lines
from .metabase import AutoInfoClass


class MetaIndicator(IndicatorBase.__class__):
    _refname = '_indcol'
    _indcol = dict()

    _icache = dict()
    _icacheuse = False

    @classmethod
    def cleancache(cls):
        cls._icache = dict()

    @classmethod
    def usecache(cls, onoff):
        cls._icacheuse = onoff

    # Object cache deactivated on 2016-08-17. If the object is being used
    # inside another object, the minperiod information carried over
    # influences the first usage when being modified during the 2nd usage

    def __call__(cls, *args, **kwargs):
        if not cls._icacheuse:
            return super(MetaIndicator, cls).__call__(*args, **kwargs)

        # implement a cache to avoid duplicating lines actions
        ckey = (cls, tuple(args), tuple(kwargs.items()))  # tuples hashable
        try:
            return cls._icache[ckey]
        except TypeError:  # something not hashable
            return super(MetaIndicator, cls).__call__(*args, **kwargs)
        except KeyError:
            pass  # hashable but not in the cache

        _obj = super(MetaIndicator, cls).__call__(*args, **kwargs)
        return cls._icache.setdefault(ckey, _obj)

    def __init__(cls, name, bases, dct):
        '''
        Class has already been created ... register subclasses
        '''
        # Initialize the class
        super(MetaIndicator, cls).__init__(name, bases, dct)

        if not cls.aliased and \
           name != 'Indicator' and not name.startswith('_'):
            refattr = getattr(cls, cls._refname)
            refattr[name] = cls

        # Check if next and once have both been overridden
        next_over = cls.next != IndicatorBase.next
        once_over = cls.once != IndicatorBase.once

        if next_over and not once_over:
            # No -> need pointer movement to once simulation via next
            cls.once = cls.once_via_next
            cls.preonce = cls.preonce_via_prenext
            cls.oncestart = cls.oncestart_via_nextstart


class Indicator(with_metaclass(MetaIndicator, IndicatorBase)):
    _ltype = LineIterator.IndType

    csv = False

    def advance(self, size=1):
        # Need intercepting this call to support datas with
        # different lengths (timeframes)
        if len(self) < len(self._clock):
            self.lines.advance(size=size)

    def preonce_via_prenext(self, start, end):
        # generic implementation if prenext is overridden but preonce is not
        for i in range(start, end):
            for data in self.datas:
                data.advance()

            for indicator in self._lineiterators[LineIterator.IndType]:
                indicator.advance()

            self.advance()
            self.prenext()

    def oncestart_via_nextstart(self, start, end):
        # nextstart has been overriden, but oncestart has not and the code is
        # here. call the overriden nextstart
        for i in range(start, end):
            for data in self.datas:
                data.advance()

            for indicator in self._lineiterators[LineIterator.IndType]:
                indicator.advance()

            self.advance()
            self.nextstart()

    def once_via_next(self, start, end):
        # Not overridden, next must be there ...
        for i in range(start, end):
            for data in self.datas:
                data.advance()

            for indicator in self._lineiterators[LineIterator.IndType]:
                indicator.advance()

            self.advance()
            self.next()


class MtLinePlotterIndicator(Indicator.__class__):
    def donew(cls, *args, **kwargs):
        lname = kwargs.pop('name')
        name = cls.__name__

        lines = getattr(cls, 'lines', Lines)
        cls.lines = lines._derive(name, (lname,), 0, [])

        plotlines = AutoInfoClass
        newplotlines = dict()
        newplotlines.setdefault(lname, dict())
        cls.plotlines = plotlines._derive(name, newplotlines, [], recurse=True)

        # Create the object and set the params in place
        _obj, args, kwargs =  \
            super(MtLinePlotterIndicator, cls).donew(*args, **kwargs)

        _obj.owner = _obj.data.owner._clock
        _obj.data.lines[0].addbinding(_obj.lines[0])

        # Return the object and arguments to the chain
        return _obj, args, kwargs


class LinePlotterIndicator(with_metaclass(MtLinePlotterIndicator, Indicator)):
    pass


================================================
FILE: backtrader/indicators/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from backtrader import Indicator
from backtrader.functions import *

# The modules below should/must define __all__ with the Indicator objects
# of prepend an "_" (underscore) to private classes/variables

from .basicops import *

# base for moving averages
from .mabase import *

# moving averages (so envelope and oscillators can be auto-generated)
from .sma import *
from .ema import *
from .smma import *
from .wma import *
from .dema import *
from .kama import *
from .zlema import *
from .hma import *
from .zlind import *
from .dma import *

# depends on moving averages
from .deviation import *

# depend on basicops, moving averages and deviations
from .atr import *
from .aroon import *
from .bollinger import *
from .cci import *
from .crossover import *
from .dpo import *
from .directionalmove import *
from .envelope import *
from .heikinashi import *
from .lrsi import *
from .macd import *
from .momentum import *
from .oscillator import *
from .percentchange import *
from .percentrank import *
from .pivotpoint import *
from .prettygoodoscillator import *
from .priceoscillator import *
from .psar import *
from .rsi import *
from .stochastic import *
from .trix import *
from .tsi import *
from .ultimateoscillator import *
from .williams import *
from .rmi import *
from .awesomeoscillator import *
from .accdecoscillator import *


from .dv2 import *  # depends on percentrank

# Depends on Momentum
from .kst import *

from .ichimoku import *

from .hurst import *
from .ols import *
from .hadelta import *


================================================
FILE: backtrader/indicators/accdecoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Ssoftware Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import MovAv, AwesomeOscillator


__all__ = ['AccelerationDecelerationOscillator', 'AccDeOsc']


class AccelerationDecelerationOscillator(bt.Indicator):
    '''
    Acceleration/Deceleration Technical Indicator (AC) measures acceleration
    and deceleration of the current driving force. This indicator will change
    direction before any changes in the driving force, which, it its turn, will
    change its direction before the price.

    Formula:
     - AcdDecOsc = AwesomeOscillator - SMA(AwesomeOscillator, period)

    See:
      - https://www.metatrader5.com/en/terminal/help/indicators/bw_indicators/ao
      - https://www.ifcmarkets.com/en/ntx-indicators/ntx-indicators-accelerator-decelerator-oscillator

    '''
    alias = ('AccDeOsc',)
    lines = ('accde', )

    params = (
        ('period', 5),
        ('movav', MovAv.SMA),
    )

    plotlines = dict(accde=dict(_method='bar', alpha=0.50, width=1.0))

    def __init__(self):
        ao = AwesomeOscillator()
        self.l.accde = ao - self.p.movav(ao, period=self.p.period)
        super(AccelerationDecelerationOscillator, self).__init__()


================================================
FILE: backtrader/indicators/aroon.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, FindFirstIndexHighest, FindFirstIndexLowest


class _AroonBase(Indicator):
    '''
    Base class which does the calculation of the AroonUp/AroonDown values and
    defines the common parameters.

    It uses the class attributes _up and _down (boolean flags) to decide which
    value has to be calculated.

    Values are not assigned to lines but rather stored in the "up" and "down"
    instance variables, which can be used by subclasses to for assignment or
    further calculations
    '''
    _up = False
    _down = False

    params = (('period', 14), ('upperband', 70), ('lowerband', 30),)
    plotinfo = dict(plotymargin=0.05, plotyhlines=[0, 100])

    def _plotlabel(self):
        plabels = [self.p.period]
        return plabels

    def _plotinit(self):
        self.plotinfo.plotyhlines += [self.p.lowerband, self.p.upperband]

    def __init__(self):
        # Look backwards period + 1 for current data because the formula mus
        # produce values between 0 and 100 and can only do that if the
        # calculated hhidx/llidx go from 0 to period (hence period + 1 values)
        idxperiod = self.p.period + 1

        if self._up:
            hhidx = FindFirstIndexHighest(self.data.high, period=idxperiod)
            self.up = (100.0 / self.p.period) * (self.p.period - hhidx)

        if self._down:
            llidx = FindFirstIndexLowest(self.data.low, period=idxperiod)
            self.down = (100.0 / self.p.period) * (self.p.period - llidx)

        super(_AroonBase, self).__init__()


class AroonUp(_AroonBase):
    '''
    This is the AroonUp from the indicator AroonUpDown developed by Tushar
    Chande in 1995.

    Formula:
      - up = 100 * (period - distance to highest high) / period

    Note:
      The lines oscillate between 0 and 100. That means that the "distance" to
      the last highest or lowest must go from 0 to period so that the formula
      can yield 0 and 100.

      Hence the lookback period is period + 1, because the current bar is also
      taken into account. And therefore this indicator needs an effective
      lookback period of period + 1.

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon
    '''
    _up = True

    lines = ('aroonup',)

    def __init__(self):
        super(AroonUp, self).__init__()

        self.lines.aroonup = self.up


class AroonDown(_AroonBase):
    '''
    This is the AroonDown from the indicator AroonUpDown developed by Tushar
    Chande in 1995.

    Formula:
      - down = 100 * (period - distance to lowest low) / period

    Note:
      The lines oscillate between 0 and 100. That means that the "distance" to
      the last highest or lowest must go from 0 to period so that the formula
      can yield 0 and 100.

      Hence the lookback period is period + 1, because the current bar is also
      taken into account. And therefore this indicator needs an effective
      lookback period of period + 1.

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon
    '''
    _down = True

    lines = ('aroondown',)

    def __init__(self):
        super(AroonDown, self).__init__()

        self.lines.aroondown = self.down


class AroonUpDown(AroonUp, AroonDown):
    '''
    Developed by Tushar Chande in 1995.

    It tries to determine if a trend exists or not by calculating how far away
    within a given period the last highs/lows are (AroonUp/AroonDown)

    Formula:
      - up = 100 * (period - distance to highest high) / period
      - down = 100 * (period - distance to lowest low) / period

    Note:
      The lines oscillate between 0 and 100. That means that the "distance" to
      the last highest or lowest must go from 0 to period so that the formula
      can yield 0 and 100.

      Hence the lookback period is period + 1, because the current bar is also
      taken into account. And therefore this indicator needs an effective
      lookback period of period + 1.

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon
    '''
    alias = ('AroonIndicator',)


class AroonOscillator(_AroonBase):
    '''
    It is a variation of the AroonUpDown indicator which shows the current
    difference between the AroonUp and AroonDown value, trying to present a
    visualization which indicates which is stronger (greater than 0 -> AroonUp
    and less than 0 -> AroonDown)

    Formula:
      - aroonosc = aroonup - aroondown

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon
    '''
    _up = True
    _down = True

    alias = ('AroonOsc',)

    lines = ('aroonosc',)

    def _plotinit(self):
        super(AroonOscillator, self)._plotinit()

        for yhline in self.plotinfo.plotyhlines[:]:
            self.plotinfo.plotyhlines.append(-yhline)

    def __init__(self):
        super(AroonOscillator, self).__init__()

        self.lines.aroonosc = self.up - self.down


class AroonUpDownOscillator(AroonUpDown, AroonOscillator):
    '''
    Presents together the indicators AroonUpDown and AroonOsc

    Formula:
      (None, uses the aforementioned indicators)

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:aroon
    '''
    alias = ('AroonUpDownOsc',)


================================================
FILE: backtrader/indicators/atr.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, Max, Min, MovAv


class TrueHigh(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the ATR

    Records the "true high" which is the maximum of today's high and
    yesterday's close

    Formula:
      - truehigh = max(high, close_prev)

    See:
      - http://en.wikipedia.org/wiki/Average_true_range
    '''
    lines = ('truehigh',)

    def __init__(self):
        self.lines.truehigh = Max(self.data.high, self.data.close(-1))
        super(TrueHigh, self).__init__()


class TrueLow(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the ATR

    Records the "true low" which is the minimum of today's low and
    yesterday's close

    Formula:
      - truelow = min(low, close_prev)

    See:
      - http://en.wikipedia.org/wiki/Average_true_range
    '''
    lines = ('truelow',)

    def __init__(self):
        self.lines.truelow = Min(self.data.low, self.data.close(-1))
        super(TrueLow, self).__init__()


class TrueRange(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book New Concepts in
    Technical Trading Systems.

    Formula:
      - max(high - low, abs(high - prev_close), abs(prev_close - low)

      which can be simplified to

      - max(high, prev_close) - min(low, prev_close)

    See:
      - http://en.wikipedia.org/wiki/Average_true_range

    The idea is to take the previous close into account to calculate the range
    if it yields a larger range than the daily range (High - Low)
    '''
    alias = ('TR',)

    lines = ('tr',)

    def __init__(self):
        self.lines.tr = TrueHigh(self.data) - TrueLow(self.data)
        super(TrueRange, self).__init__()


class AverageTrueRange(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    The idea is to take the close into account to calculate the range if it
    yields a larger range than the daily range (High - Low)

    Formula:
      - SmoothedMovingAverage(TrueRange, period)

    See:
      - http://en.wikipedia.org/wiki/Average_true_range
    '''
    alias = ('ATR',)

    lines = ('atr',)
    params = (('period', 14), ('movav', MovAv.Smoothed))

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        self.lines.atr = self.p.movav(TR(self.data), period=self.p.period)
        super(AverageTrueRange, self).__init__()


================================================
FILE: backtrader/indicators/awesomeoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Ssoftware Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import MovAv


__all__ = ['AwesomeOscillator', 'AwesomeOsc', 'AO']


class AwesomeOscillator(bt.Indicator):
    '''
    Awesome Oscillator (AO) is a momentum indicator reflecting the precise
    changes in the market driving force which helps to identify the trend’s
    strength up to the points of formation and reversal.


    Formula:
     - median price = (high + low) / 2
     - AO = SMA(median price, 5)- SMA(median price, 34)

    See:
      - https://www.metatrader5.com/en/terminal/help/indicators/bw_indicators/awesome
      - https://www.ifcmarkets.com/en/ntx-indicators/awesome-oscillator

    '''
    alias = ('AwesomeOsc', 'AO')
    lines = ('ao',)

    params = (
        ('fast', 5),
        ('slow', 34),
        ('movav', MovAv.SMA),
    )

    plotlines = dict(ao=dict(_method='bar', alpha=0.50, width=1.0))

    def __init__(self):
        median_price = (self.data.high + self.data.low) / 2.0
        sma1 = self.p.movav(median_price, period=self.p.fast)
        sma2 = self.p.movav(median_price, period=self.p.slow)
        self.l.ao = sma1 - sma2

        super(AwesomeOscillator, self).__init__()


================================================
FILE: backtrader/indicators/basicops.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import functools
import math
import operator

from ..utils.py3 import map, range

from . import Indicator


class PeriodN(Indicator):
    '''
    Base class for indicators which take a period (__init__ has to be called
    either via super or explicitly)

    This class has no defined lines
    '''
    params = (('period', 1),)

    def __init__(self):
        super(PeriodN, self).__init__()
        self.addminperiod(self.p.period)


class OperationN(PeriodN):
    '''
    Calculates "func" for a given period

    Serves as a base for classes that work with a period and can express the
    logic in a callable object

    Note:
      Base classes must provide a "func" attribute which is a callable

    Formula:
      - line = func(data, period)
    '''
    def next(self):
        self.line[0] = self.func(self.data.get(size=self.p.period))

    def once(self, start, end):
        dst = self.line.array
        src = self.data.array
        period = self.p.period
        func = self.func

        for i in range(start, end):
            dst[i] = func(src[i - period + 1: i + 1])


class BaseApplyN(OperationN):
    '''
    Base class for ApplyN and others which may take a ``func`` as a parameter
    but want to define the lines in the indicator.

    Calculates ``func`` for a given period where func is given as a parameter,
    aka named argument or ``kwarg``

    Formula:
      - lines[0] = func(data, period)

    Any extra lines defined beyond the first (index 0) are not calculated
    '''
    params = (('func', None),)

    def __init__(self):
        self.func = self.p.func
        super(BaseApplyN, self).__init__()


class ApplyN(BaseApplyN):
    '''
    Calculates ``func`` for a given period

    Formula:
      - line = func(data, period)
    '''
    lines = ('apply',)


class Highest(OperationN):
    '''
    Calculates the highest value for the data in a given period

    Uses the built-in ``max`` for the calculation

    Formula:
      - highest = max(data, period)
    '''
    alias = ('MaxN',)
    lines = ('highest',)
    func = max


class Lowest(OperationN):
    '''
    Calculates the lowest value for the data in a given period

    Uses the built-in ``min`` for the calculation

    Formula:
      - lowest = min(data, period)
    '''
    alias = ('MinN',)
    lines = ('lowest',)
    func = min


class ReduceN(OperationN):
    '''
    Calculates the Reduced value of the ``period`` data points applying
    ``function``

    Uses the built-in ``reduce`` for the calculation plus the ``func`` that
    subclassess define

    Formula:
      - reduced = reduce(function(data, period)), initializer=initializer)

    Notes:

      - In order to mimic the python ``reduce``, this indicator takes a
        ``function`` non-named argument as the 1st argument, unlike other
        Indicators which take only named arguments
    '''
    lines = ('reduced',)
    func = functools.reduce

    def __init__(self, function, **kwargs):
        if 'initializer' not in kwargs:
            self.func = functools.partial(self.func, function)
        else:
            self.func = functools.partial(self.func, function,
                                          initializer=kwargs['initializer'])

        super(ReduceN, self).__init__()


class SumN(OperationN):
    '''
    Calculates the Sum of the data values over a given period

    Uses ``math.fsum`` for the calculation rather than the built-in ``sum`` to
    avoid precision errors

    Formula:
      - sumn = sum(data, period)
    '''
    lines = ('sumn',)
    func = math.fsum


class AnyN(OperationN):
    '''
    Has a value of ``True`` (stored as ``1.0`` in the lines) if *any* of the
    values in the ``period`` evaluates to non-zero (ie: ``True``)

    Uses the built-in ``any`` for the calculation

    Formula:
      - anyn = any(data, period)
    '''
    lines = ('anyn',)
    func = any


class AllN(OperationN):
    '''
    Has a value of ``True`` (stored as ``1.0`` in the lines) if *all* of the
    values in the ``period`` evaluates to non-zero (ie: ``True``)

    Uses the built-in ``all`` for the calculation

    Formula:
      - alln = all(data, period)
    '''
    lines = ('alln',)
    func = all


class FindFirstIndex(OperationN):
    '''
    Returns the index of the last data that satisfies equality with the
    condition generated by the parameter _evalfunc

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = first for which data[index] == _evalfunc(data)
    '''
    lines = ('index',)
    params = (('_evalfunc', None),)

    def func(self, iterable):
        m = self.p._evalfunc(iterable)
        return next(i for i, v in enumerate(reversed(iterable)) if v == m)


class FindFirstIndexHighest(FindFirstIndex):
    '''
    Returns the index of the first data that is the highest in the period

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = index of first data which is the highest
    '''
    params = (('_evalfunc', max),)


class FindFirstIndexLowest(FindFirstIndex):
    '''
    Returns the index of the first data that is the lowest in the period

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = index of first data which is the lowest
    '''
    params = (('_evalfunc', min),)


class FindLastIndex(OperationN):
    '''
    Returns the index of the last data that satisfies equality with the
    condition generated by the parameter _evalfunc

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = last for which data[index] == _evalfunc(data)
    '''
    lines = ('index',)
    params = (('_evalfunc', None),)

    def func(self, iterable):
        m = self.p._evalfunc(iterable)
        index = next(i for i, v in enumerate(iterable) if v == m)
        # The iterable goes from 0 -> period - 1. If the last element
        # which is the current bar is returned and without the -1 then
        # period - index = 1 ... and must be zero!
        return self.p.period - index - 1


class FindLastIndexHighest(FindLastIndex):
    '''
    Returns the index of the last data that is the highest in the period

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = index of last data which is the highest
    '''
    params = (('_evalfunc', max),)


class FindLastIndexLowest(FindLastIndex):
    '''
    Returns the index of the last data that is the lowest in the period

    Note:
      Returned indexes look backwards. 0 is the current index and 1 is
      the previous bar.

    Formula:
      - index = index of last data which is the lowest
    '''
    params = (('_evalfunc', min),)


class Accum(Indicator):
    '''
    Cummulative sum of the data values

    Formula:
      - accum += data
    '''
    alias = ('CumSum', 'CumulativeSum',)
    lines = ('accum',)
    params = (('seed', 0.0),)

    # xxxstart methods use the seed (starting value) and passed data to
    # construct the first value keeping the minperiod to 1 since no
    # initial look-back value is needed

    def nextstart(self):
        self.line[0] = self.p.seed + self.data[0]

    def next(self):
        self.line[0] = self.line[-1] + self.data[0]

    def oncestart(self, start, end):
        dst = self.line.array
        src = self.data.array
        prev = self.p.seed

        for i in range(start, end):
            dst[i] = prev = prev + src[i]

    def once(self, start, end):
        dst = self.line.array
        src = self.data.array
        prev = dst[start - 1]

        for i in range(start, end):
            dst[i] = prev = prev + src[i]


class Average(PeriodN):
    '''
    Averages a given data arithmetically over a period

    Formula:
      - av = data(period) / period

    See also:
      - https://en.wikipedia.org/wiki/Arithmetic_mean
    '''
    alias = ('ArithmeticMean', 'Mean',)
    lines = ('av',)

    def next(self):
        self.line[0] = \
            math.fsum(self.data.get(size=self.p.period)) / self.p.period

    def once(self, start, end):
        src = self.data.array
        dst = self.line.array
        period = self.p.period

        for i in range(start, end):
            dst[i] = math.fsum(src[i - period + 1:i + 1]) / period


class ExponentialSmoothing(Average):
    '''
    Averages a given data over a period using exponential smoothing

    A regular ArithmeticMean (Average) is used as the seed value considering
    the first period values of data

    Formula:
      - av = prev * (1 - alpha) + data * alpha

    See also:
      - https://en.wikipedia.org/wiki/Exponential_smoothing
    '''
    alias = ('ExpSmoothing',)
    params = (('alpha', None),)

    def __init__(self):
        self.alpha = self.p.alpha
        if self.alpha is None:
            self.alpha = 2.0 / (1.0 + self.p.period)  # def EMA value

        self.alpha1 = 1.0 - self.alpha

        super(ExponentialSmoothing, self).__init__()

    def nextstart(self):
        # Fetch the seed value from the base class calculation
        super(ExponentialSmoothing, self).next()

    def next(self):
        self.line[0] = self.line[-1] * self.alpha1 + self.data[0] * self.alpha

    def oncestart(self, start, end):
        # Fetch the seed value from the base class calculation
        super(ExponentialSmoothing, self).once(start, end)

    def once(self, start, end):
        darray = self.data.array
        larray = self.line.array
        alpha = self.alpha
        alpha1 = self.alpha1

        # Seed value from SMA calculated with the call to oncestart
        prev = larray[start - 1]
        for i in range(start, end):
            larray[i] = prev = prev * alpha1 + darray[i] * alpha


class ExponentialSmoothingDynamic(ExponentialSmoothing):
    '''
    Averages a given data over a period using exponential smoothing

    A regular ArithmeticMean (Average) is used as the seed value considering
    the first period values of data

    Note:
      - alpha is an array of values which can be calculated dynamically

    Formula:
      - av = prev * (1 - alpha) + data * alpha

    See also:
      - https://en.wikipedia.org/wiki/Exponential_smoothing
    '''
    alias = ('ExpSmoothingDynamic',)

    def __init__(self):
        super(ExponentialSmoothingDynamic, self).__init__()

        # Hack: alpha is a "line" and carries a minperiod which is not being
        # considered because this indicator makes no line assignment. It has
        # therefore to be considered manually
        minperioddiff = max(0, self.alpha._minperiod - self.p.period)
        self.lines[0].incminperiod(minperioddiff)

    def next(self):
        self.line[0] = \
            self.line[-1] * self.alpha1[0] + self.data[0] * self.alpha[0]

    def once(self, start, end):
        darray = self.data.array
        larray = self.line.array
        alpha = self.alpha.array
        alpha1 = self.alpha1.array

        # Seed value from SMA calculated with the call to oncestart
        prev = larray[start - 1]
        for i in range(start, end):
            larray[i] = prev = prev * alpha1[i] + darray[i] * alpha[i]


class WeightedAverage(PeriodN):
    '''
    Calculates the weighted average of the given data over a period

    The default weights (if none are provided) are linear to assigne more
    weight to the most recent data

    The result will be multiplied by a given "coef"

    Formula:
      - av = coef * sum(mul(data, period), weights)

    See:
      - https://en.wikipedia.org/wiki/Weighted_arithmetic_mean
    '''
    alias = ('AverageWeighted',)
    lines = ('av',)
    params = (('coef', 1.0), ('weights', tuple()),)

    def __init__(self):
        super(WeightedAverage, self).__init__()

    def next(self):
        data = self.data.get(size=self.p.period)
        dataweighted = map(operator.mul, data, self.p.weights)
        self.line[0] = self.p.coef * math.fsum(dataweighted)

    def once(self, start, end):
        darray = self.data.array
        larray = self.line.array
        period = self.p.period
        coef = self.p.coef
        weights = self.p.weights

        for i in range(start, end):
            data = darray[i - period + 1: i + 1]
            larray[i] = coef * math.fsum(map(operator.mul, data, weights))


================================================
FILE: backtrader/indicators/bollinger.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, MovAv, StdDev


class BollingerBands(Indicator):
    '''
    Defined by John Bollinger in the 80s. It measures volatility by defining
    upper and lower bands at distance x standard deviations

    Formula:
      - midband = SimpleMovingAverage(close, period)
      - topband = midband + devfactor * StandardDeviation(data, period)
      - botband = midband - devfactor * StandardDeviation(data, period)

    See:
      - http://en.wikipedia.org/wiki/Bollinger_Bands
    '''
    alias = ('BBands',)

    lines = ('mid', 'top', 'bot',)
    params = (('period', 20), ('devfactor', 2.0), ('movav', MovAv.Simple),)

    plotinfo = dict(subplot=False)
    plotlines = dict(
        mid=dict(ls='--'),
        top=dict(_samecolor=True),
        bot=dict(_samecolor=True),
    )

    def _plotlabel(self):
        plabels = [self.p.period, self.p.devfactor]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        self.lines.mid = ma = self.p.movav(self.data, period=self.p.period)
        stddev = self.p.devfactor * StdDev(self.data, ma, period=self.p.period,
                                           movav=self.p.movav)
        self.lines.top = ma + stddev
        self.lines.bot = ma - stddev

        super(BollingerBands, self).__init__()


class BollingerBandsPct(BollingerBands):
    '''
    Extends the Bollinger Bands with a Percentage line
    '''
    lines = ('pctb',)
    plotlines = dict(pctb=dict(_name='%B'))  # display the line as %B on chart

    def __init__(self):
        super(BollingerBandsPct, self).__init__()
        self.l.pctb = (self.data - self.l.bot) / (self.l.top - self.l.bot)


================================================
FILE: backtrader/indicators/cci.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, Max, MovAv, MeanDev


class CommodityChannelIndex(Indicator):
    '''
    Introduced by Donald Lambert in 1980 to measure variations of the
    "typical price" (see below) from its mean to identify extremes and
    reversals

    Formula:
      - tp = typical_price = (high + low + close) / 3
      - tpmean = MovingAverage(tp, period)
      - deviation = tp - tpmean
      - meandev = MeanDeviation(tp)
      - cci = deviation / (meandeviation * factor)

    See:
      - https://en.wikipedia.org/wiki/Commodity_channel_index
    '''
    alias = ('CCI',)

    lines = ('cci',)

    params = (('period', 20),
              ('factor', 0.015),
              ('movav', MovAv.Simple),
              ('upperband', 100.0),
              ('lowerband', -100.0),)

    def _plotlabel(self):
        plabels = [self.p.period, self.p.factor]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def _plotinit(self):
        self.plotinfo.plotyhlines = [0.0, self.p.upperband, self.p.lowerband]

    def __init__(self):
        tp = (self.data.high + self.data.low + self.data.close) / 3.0
        tpmean = self.p.movav(tp, period=self.p.period)

        dev = tp - tpmean
        meandev = MeanDev(tp, tpmean, period=self.p.period)

        self.lines.cci = dev / (self.p.factor * meandev)

        super(CommodityChannelIndex, self).__init__()


================================================
FILE: backtrader/indicators/contrib/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt

from .import vortex as vortex
for name in vortex.__all__:
    setattr(bt.indicators, name, getattr(vortex, name))


================================================
FILE: backtrader/indicators/contrib/vortex.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt

__all__ = ['Vortex']


class Vortex(bt.Indicator):
    '''
    See:
      - http://www.vortexindicator.com/VFX_VORTEX.PDF

    '''
    lines = ('vi_plus', 'vi_minus',)

    params = (('period', 14),)

    plotlines = dict(vi_plus=dict(_name='+VI'), vi_minus=dict(_name='-VI'))

    def __init__(self):
        h0l1 = abs(self.data.high(0) - self.data.low(-1))
        vm_plus = bt.ind.SumN(h0l1, period=self.p.period)

        l0h1 = abs(self.data.low(0) - self.data.high(-1))
        vm_minus = bt.ind.SumN(l0h1, period=self.p.period)

        h0c1 = abs(self.data.high(0) - self.data.close(-1))
        l0c1 = abs(self.data.low(0) - self.data.close(-1))
        h0l0 = abs(self.data.high(0) - self.data.low(0))

        tr = bt.ind.SumN(bt.Max(h0l0, h0c1, l0c1), period=self.p.period)

        self.l.vi_plus = vm_plus / tr
        self.l.vi_minus = vm_minus / tr


================================================
FILE: backtrader/indicators/crossover.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, And


class NonZeroDifference(Indicator):
    '''
    Keeps track of the difference between two data inputs skipping, memorizing
    the last non zero value if the current difference is zero

    Formula:
      - diff = data - data1
      - nzd = diff if diff else diff(-1)
    '''
    _mindatas = 2  # requires two (2) data sources
    alias = ('NZD',)
    lines = ('nzd',)

    def nextstart(self):
        self.l.nzd[0] = self.data0[0] - self.data1[0]  # seed value

    def next(self):
        d = self.data0[0] - self.data1[0]
        self.l.nzd[0] = d if d else self.l.nzd[-1]

    def oncestart(self, start, end):
        self.line.array[start] = (
            self.data0.array[start] - self.data1.array[start])

    def once(self, start, end):
        d0array = self.data0.array
        d1array = self.data1.array
        larray = self.line.array

        prev = larray[start - 1]
        for i in range(start, end):
            d = d0array[i] - d1array[i]
            larray[i] = prev = d if d else prev


class _CrossBase(Indicator):
    _mindatas = 2

    lines = ('cross',)

    plotinfo = dict(plotymargin=0.05, plotyhlines=[0.0, 1.0])

    def __init__(self):
        nzd = NonZeroDifference(self.data0, self.data1)

        if self._crossup:
            before = nzd(-1) < 0.0  # data0 was below or at 0
            after = self.data0 > self.data1
        else:
            before = nzd(-1) > 0.0  # data0 was above or at 0
            after = self.data0 < self.data1

        self.lines.cross = And(before, after)


class CrossUp(_CrossBase):
    '''
    This indicator gives a signal if the 1st provided data crosses over the 2nd
    indicator upwards

    It does need to look into the current time index (0) and the previous time
    index (-1) of both the 1st and 2nd data

    Formula:
      - diff = data - data1
      - upcross =  last_non_zero_diff < 0 and data0(0) > data1(0)
    '''
    _crossup = True


class CrossDown(_CrossBase):
    '''
    This indicator gives a signal if the 1st provided data crosses over the 2nd
    indicator upwards

    It does need to look into the current time index (0) and the previous time
    index (-1) of both the 1st and 2nd data

    Formula:
      - diff = data - data1
      - downcross = last_non_zero_diff > 0 and data0(0) < data1(0)
    '''
    _crossup = False


class CrossOver(Indicator):
    '''
    This indicator gives a signal if the provided datas (2) cross up or down.

      - 1.0 if the 1st data crosses the 2nd data upwards
      - -1.0 if the 1st data crosses the 2nd data downwards

    It does need to look into the current time index (0) and the previous time
    index (-1) of both the 1t and 2nd data

    Formula:
      - diff = data - data1
      - upcross =  last_non_zero_diff < 0 and data0(0) > data1(0)
      - downcross = last_non_zero_diff > 0 and data0(0) < data1(0)
      - crossover = upcross - downcross
    '''
    _mindatas = 2

    lines = ('crossover',)

    plotinfo = dict(plotymargin=0.05, plotyhlines=[-1.0, 1.0])

    def __init__(self):
        upcross = CrossUp(self.data, self.data1)
        downcross = CrossDown(self.data, self.data1)

        self.lines.crossover = upcross - downcross


================================================
FILE: backtrader/indicators/dema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import Indicator, MovingAverageBase, MovAv


class DoubleExponentialMovingAverage(MovingAverageBase):
    '''
    DEMA was first time introduced in 1994, in the article "Smoothing Data with
    Faster Moving Averages" by Patrick G. Mulloy in "Technical Analysis of
    Stocks & Commodities" magazine.

    It attempts to reduce the inherent lag associated to Moving Averages

    Formula:
      - dema = (2.0 - ema(data, period) - ema(ema(data, period), period)

    See:
      (None)
    '''
    alias = ('DEMA', 'MovingAverageDoubleExponential',)

    lines = ('dema',)
    params = (('_movav', MovAv.EMA),)

    def __init__(self):
        ema = self.p._movav(self.data, period=self.p.period)
        ema2 = self.p._movav(ema, period=self.p.period)
        self.lines.dema = 2.0 * ema - ema2

        super(DoubleExponentialMovingAverage, self).__init__()


class TripleExponentialMovingAverage(MovingAverageBase):
    '''
    TEMA was first time introduced in 1994, in the article "Smoothing Data with
    Faster Moving Averages" by Patrick G. Mulloy in "Technical Analysis of
    Stocks & Commodities" magazine.

    It attempts to reduce the inherent lag associated to Moving Averages

    Formula:
      - ema1 = ema(data, period)
      - ema2 = ema(ema1, period)
      - ema3 = ema(ema2, period)
      - tema = 3 * ema1 - 3 * ema2 + ema3

    See:
      (None)
    '''
    alias = ('TEMA', 'MovingAverageTripleExponential',)

    lines = ('tema',)
    params = (('_movav', MovAv.EMA),)

    def __init__(self):
        ema1 = self.p._movav(self.data, period=self.p.period)
        ema2 = self.p._movav(ema1, period=self.p.period)
        ema3 = self.p._movav(ema2, period=self.p.period)

        self.lines.tema = 3.0 * ema1 - 3.0 * ema2 + ema3
        super(TripleExponentialMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/deviation.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, MovAv


class StandardDeviation(Indicator):
    '''
    Calculates the standard deviation of the passed data for a given period

    Note:
      - If 2 datas are provided as parameters, the 2nd is considered to be the
        mean of the first

      - ``safepow`` (default: False) If this parameter is True, the standard
        deviation will be calculated as pow(abs(meansq - sqmean), 0.5) to safe
        guard for possible negative results of ``meansq - sqmean`` caused by
        the floating point representation.

    Formula:
      - meansquared = SimpleMovingAverage(pow(data, 2), period)
      - squaredmean = pow(SimpleMovingAverage(data, period), 2)
      - stddev = pow(meansquared - squaredmean, 0.5)  # square root

    See:
      - http://en.wikipedia.org/wiki/Standard_deviation
    '''
    alias = ('StdDev',)

    lines = ('stddev',)
    params = (('period', 20), ('movav', MovAv.Simple), ('safepow', True),)

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        if len(self.datas) > 1:
            mean = self.data1
        else:
            mean = self.p.movav(self.data, period=self.p.period)

        meansq = self.p.movav(pow(self.data, 2), period=self.p.period)
        sqmean = pow(mean, 2)

        if self.p.safepow:
            self.lines.stddev = pow(abs(meansq - sqmean), 0.5)
        else:
            self.lines.stddev = pow(meansq - sqmean, 0.5)


class MeanDeviation(Indicator):
    '''MeanDeviation (alias MeanDev)

    Calculates the Mean Deviation of the passed data for a given period

    Note:
      - If 2 datas are provided as parameters, the 2nd is considered to be the
        mean of the first

    Formula:
      - mean = MovingAverage(data, period) (or provided mean)
      - absdeviation = abs(data - mean)
      - meandev = MovingAverage(absdeviation, period)

    See:
      - https://en.wikipedia.org/wiki/Average_absolute_deviation
    '''
    alias = ('MeanDev',)

    lines = ('meandev',)
    params = (('period', 20), ('movav', MovAv.Simple),)

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        if len(self.datas) > 1:
            mean = self.data1
        else:
            mean = self.p.movav(self.data, period=self.p.period)

        absdev = abs(self.data - mean)
        self.lines.meandev = self.p.movav(absdev, period=self.p.period)


================================================
FILE: backtrader/indicators/directionalmove.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, And, If, MovAv, ATR


class UpMove(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* as part of the Directional Move System to
    calculate Directional Indicators.

    Positive if the given data has moved higher than the previous day

    Formula:
      - upmove = data - data(-1)

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    lines = ('upmove',)

    def __init__(self):
        self.lines.upmove = self.data - self.data(-1)
        super(UpMove, self).__init__()


class DownMove(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* as part of the Directional Move System to
    calculate Directional Indicators.

    Positive if the given data has moved lower than the previous day

    Formula:
      - downmove = data(-1) - data

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    lines = ('downmove',)

    def __init__(self):
        self.lines.downmove = self.data(-1) - self.data
        super(DownMove, self).__init__()


class _DirectionalIndicator(Indicator):
    '''
    This class serves as the root base class for all "Directional Movement
    System" related indicators, given that the calculations are first common
    and then derived from the common calculations.

    It can calculate the +DI and -DI values (using kwargs as the hint as to
    what to calculate) but doesn't assign them to lines. This is left for
    sublcases of this class.
    '''
    params = (('period', 14), ('movav', MovAv.Smoothed))

    plotlines = dict(plusDI=dict(_name='+DI'), minusDI=dict(_name='-DI'))

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self, _plus=True, _minus=True):
        atr = ATR(self.data, period=self.p.period, movav=self.p.movav)

        upmove = self.data.high - self.data.high(-1)
        downmove = self.data.low(-1) - self.data.low

        if _plus:
            plus = And(upmove > downmove, upmove > 0.0)
            plusDM = If(plus, upmove, 0.0)
            plusDMav = self.p.movav(plusDM, period=self.p.period)

            self.DIplus = 100.0 * plusDMav / atr

        if _minus:
            minus = And(downmove > upmove, downmove > 0.0)
            minusDM = If(minus, downmove, 0.0)
            minusDMav = self.p.movav(minusDM, period=self.p.period)

            self.DIminus = 100.0 * minusDMav / atr

        super(_DirectionalIndicator, self).__init__()


class DirectionalIndicator(_DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator shows +DI, -DI:
      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)
      - -di = 100 * MovingAverage(-dm, period) / atr(period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = ('DI',)
    lines = ('plusDI', 'minusDI',)

    def __init__(self):
        super(DirectionalIndicator, self).__init__()

        self.lines.plusDI = self.DIplus
        self.lines.minusDI = self.DIminus


class PlusDirectionalIndicator(_DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator shows +DI:
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = (('PlusDI', '+DI'),)
    lines = ('plusDI',)

    plotinfo = dict(plotname='+DirectionalIndicator')

    def __init__(self):
        super(PlusDirectionalIndicator, self).__init__(_minus=False)

        self.lines.plusDI = self.DIplus


class MinusDirectionalIndicator(_DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator shows -DI:
      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - -di = 100 * MovingAverage(-dm, period) / atr(period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = (('MinusDI', '-DI'),)
    lines = ('minusDI',)

    plotinfo = dict(plotname='-DirectionalIndicator')

    def __init__(self):
        super(MinusDirectionalIndicator, self).__init__(_plus=False)

        self.lines.minusDI = self.DIminus


class AverageDirectionalMovementIndex(_DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator only shows ADX:
      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)
      - -di = 100 * MovingAverage(-dm, period) / atr(period)
      - dx = 100 * abs(+di - -di) / (+di + -di)
      - adx = MovingAverage(dx, period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = ('ADX',)

    lines = ('adx',)

    plotlines = dict(adx=dict(_name='ADX'))

    def __init__(self):
        super(AverageDirectionalMovementIndex, self).__init__()

        dx = abs(self.DIplus - self.DIminus) / (self.DIplus + self.DIminus)
        self.lines.adx = 100.0 * self.p.movav(dx, period=self.p.period)


class AverageDirectionalMovementIndexRating(AverageDirectionalMovementIndex):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength.

    ADXR is the average of ADX with a value period bars ago

    This indicator shows the ADX and ADXR:
      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)
      - -di = 100 * MovingAverage(-dm, period) / atr(period)
      - dx = 100 * abs(+di - -di) / (+di + -di)
      - adx = MovingAverage(dx, period)
      - adxr = (adx + adx(-period)) / 2

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = ('ADXR',)

    lines = ('adxr',)
    plotlines = dict(adxr=dict(_name='ADXR'))

    def __init__(self):
        super(AverageDirectionalMovementIndexRating, self).__init__()

        self.lines.adxr = (self.l.adx + self.l.adx(-self.p.period)) / 2.0


class DirectionalMovementIndex(AverageDirectionalMovementIndex,
                               DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator shows the ADX, +DI, -DI:
      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use AverageDirectionalIndexRating (ADXRating) to get ADX, ADXR
      - Use DirectionalMovement (DM) to get ADX, ADXR, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)
      - -di = 100 * MovingAverage(-dm, period) / atr(period)
      - dx = 100 * abs(+di - -di) / (+di + -di)
      - adx = MovingAverage(dx, period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = ('DMI',)


class DirectionalMovement(AverageDirectionalMovementIndexRating,
                          DirectionalIndicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    Intended to measure trend strength

    This indicator shows ADX, ADXR, +DI, -DI.

      - Use PlusDirectionalIndicator (PlusDI) to get +DI
      - Use MinusDirectionalIndicator (MinusDI) to get -DI
      - Use Directional Indicator (DI) to get +DI, -DI
      - Use AverageDirectionalIndex (ADX) to get ADX
      - Use AverageDirectionalIndexRating (ADXR) to get ADX, ADXR
      - Use DirectionalMovementIndex (DMI) to get ADX, +DI, -DI

    Formula:
      - upmove = high - high(-1)
      - downmove = low(-1) - low
      - +dm = upmove if upmove > downmove and upmove > 0 else 0
      - -dm = downmove if downmove > upmove and downmove > 0 else 0
      - +di = 100 * MovingAverage(+dm, period) / atr(period)
      - -di = 100 * MovingAverage(-dm, period) / atr(period)
      - dx = 100 * abs(+di - -di) / (+di + -di)
      - adx = MovingAverage(dx, period)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Average_directional_movement_index
    '''
    alias = ('DM',)


================================================
FILE: backtrader/indicators/dma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import MovingAverageBase, MovAv, ZeroLagIndicator


class DicksonMovingAverage(MovingAverageBase):
    '''By Nathan Dickson

    The *Dickson Moving Average* combines the ``ZeroLagIndicator`` (aka
    *ErrorCorrecting* or *EC*) by *Ehlers*, and the ``HullMovingAverage`` to
    try to deliver a result close to that of the *Jurik* Moving Averages

    Formula:
      - ec = ZeroLagIndicator(period, gainlimit)
      - hma = HullMovingAverage(hperiod)

      - dma = (ec + hma) / 2

      - The default moving average for the *ZeroLagIndicator* is EMA, but can
        be changed with the parameter ``_movav``

        .. note:: the passed moving average must calculate alpha (and 1 -
                  alpha) and make them available as attributes ``alpha`` and
                  ``alpha1``

      - The 2nd moving averag can be changed from *Hull* to anything else with
        the param *_hma*

    See also:
      - https://www.reddit.com/r/algotrading/comments/4xj3vh/dickson_moving_average
    '''
    alias = ('DMA', 'DicksonMA',)
    lines = ('dma',)
    params = (
        ('gainlimit', 50),
        ('hperiod', 7),
        ('_movav', MovAv.EMA),
        ('_hma', MovAv.HMA),
    )

    def _plotlabel(self):
        plabels = [self.p.period, self.p.gainlimit, self.p.hperiod]
        plabels += [self.p._movav] * self.p.notdefault('_movav')
        plabels += [self.p._hma] * self.p.notdefault('_hma')
        return plabels

    def __init__(self):
        ec = ZeroLagIndicator(period=self.p.period,
                              gainlimit=self.p.gainlimit,
                              _movav=self.p._movav)

        hull = self.p._hma(period=self.p.hperiod)

        self.lines.dma = (ec + hull) / 2.0

        # To make mixins work - super at the end for cooperative inheritance
        super(DicksonMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/dpo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
# Python 2/3 compatibility imports
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, MovAv


class DetrendedPriceOscillator(Indicator):
    '''
    Defined by Joe DiNapoli in his book *"Trading with DiNapoli levels"*

    It measures the price variations against a Moving Average (the trend)
    and therefore removes the "trend" factor from the price.

    Formula:
      - movav = MovingAverage(close, period)
      - dpo = close - movav(shifted period / 2 + 1)

    See:
      - http://en.wikipedia.org/wiki/Detrended_price_oscillator
    '''
    # Named alias for invocation
    alias = ('DPO',)

    # Named output lines
    lines = ('dpo',)

    # Accepted parameters (and defaults) -
    # MovAvg also parameter to allow experimentation
    params = (('period', 20), ('movav', MovAv.Simple))

    # Emphasize central 0.0 line in plot
    plotinfo = dict(plothlines=[0.0])

    # Indicator information after the name (in brackets)
    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        # Create the Moving Average
        ma = self.p.movav(self.data, period=self.p.period)

        # Calculate value (look back period/2 + 1 in MA) and bind to 'dpo' line
        self.lines.dpo = self.data - ma(-self.p.period // 2 + 1)

        super(DetrendedPriceOscillator, self).__init__()


================================================
FILE: backtrader/indicators/dv2.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import Indicator, SMA, PercentRank


__all__ = ['DV2']


class DV2(Indicator):
    '''
    RSI(2) alternative
    Developed by David Varadi of http://cssanalytics.wordpress.com/

    This seems to be the *Bounded* version.

    See also:

      - http://web.archive.org/web/20131216100741/http://quantingdutchman.wordpress.com/2010/08/06/dv2-indicator-for-amibroker/

    '''
    params = (
        ('period', 252),
        ('maperiod', 2),
        ('_movav', SMA),
    )
    lines = ('dv2',)

    def __init__(self):
        chl = self.data.close / ((self.data.high + self.data.low) / 2.0)
        dvu = self.p._movav(chl, period=self.p.maperiod)
        self.lines.dv2 = PercentRank(dvu, period=self.p.period) * 100
        super(DV2, self).__init__()


================================================
FILE: backtrader/indicators/ema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import MovingAverageBase, ExponentialSmoothing


class ExponentialMovingAverage(MovingAverageBase):
    '''
    A Moving Average that smoothes data exponentially over time.

    It is a subclass of SmoothingMovingAverage.

      - self.smfactor -> 2 / (1 + period)
      - self.smfactor1 -> `1 - self.smfactor`

    Formula:
      - movav = prev * (1.0 - smoothfactor) + newdata * smoothfactor

    See also:
      - http://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
    '''
    alias = ('EMA', 'MovingAverageExponential',)
    lines = ('ema',)

    def __init__(self):
        # Before super to ensure mixins (right-hand side in subclassing)
        # can see the assignment operation and operate on the line
        self.lines[0] = es = ExponentialSmoothing(
            self.data,
            period=self.p.period,
            alpha=2.0 / (1.0 + self.p.period))

        self.alpha, self.alpha1 = es.alpha, es.alpha1

        super(ExponentialMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/envelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys

from . import Indicator, MovingAverage


class EnvelopeMixIn(object):
    '''
    MixIn class to create a subclass with another indicator. The main line of
    that indicator will be surrounded by an upper and lower band separated a
    given "perc"entage from the input main line

    The usage is:

      - Class XXXEnvelope(XXX, EnvelopeMixIn)

    Formula:
      - 'line' (inherited from XXX))
      - top = 'line' * (1 + perc)
      - bot = 'line' * (1 - perc)

    See also:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes
    '''
    lines = ('top', 'bot',)
    params = (('perc', 2.5),)
    plotlines = dict(top=dict(_samecolor=True), bot=dict(_samecolor=True),)

    def __init__(self):
        # Mix-in & directly from object -> does not necessarily need super
        # super(EnvelopeMixIn, self).__init__()
        perc = self.p.perc / 100.0

        self.lines.top = self.lines[0] * (1.0 + perc)
        self.lines.bot = self.lines[0] * (1.0 - perc)

        super(EnvelopeMixIn, self).__init__()


class _EnvelopeBase(Indicator):
    lines = ('src',)

    # plot the envelope lines along the passed source
    plotinfo = dict(subplot=False)

    # Do not replot the data line
    plotlines = dict(src=dict(_plotskip=True))

    def __init__(self):
        self.lines.src = self.data
        super(_EnvelopeBase, self).__init__()


class Envelope(_EnvelopeBase, EnvelopeMixIn):
    '''
    It creates envelopes bands separated from the source data by a given
    percentage

    Formula:
      - src = datasource
      - top = src * (1 + perc)
      - bot = src * (1 - perc)

    See also:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes
    '''


# Automatic creation of Moving Average Envelope classes

for movav in MovingAverage._movavs[1:]:
    _newclsdoc = '''
    %s and envelope bands separated "perc" from it

    Formula:
      - %s (from %s)
      - top = %s * (1 + perc)
      - bot = %s * (1 - perc)

    See also:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_envelopes
    '''
    # Skip aliases - they will be created automatically
    if getattr(movav, 'aliased', ''):
        continue

    movname = movav.__name__
    linename = movav.lines._getlinealias(0)
    newclsname = movname + 'Envelope'

    newaliases = []
    for alias in getattr(movav, 'alias', []):
        for suffix in ['Envelope']:
            newaliases.append(alias + suffix)

    newclsdoc = _newclsdoc % (movname, linename, movname, linename, linename)

    newclsdct = {'__doc__': newclsdoc,
                 '__module__': EnvelopeMixIn.__module__,
                 '_notregister': True,
                 'alias': newaliases}
    newcls = type(str(newclsname), (movav, EnvelopeMixIn), newclsdct)
    module = sys.modules[EnvelopeMixIn.__module__]
    setattr(module, newclsname, newcls)


================================================
FILE: backtrader/indicators/hadelta.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from . import MovAv


__all__ = ['haDelta', 'haD']


class haDelta(bt.Indicator):
    '''Heikin Ashi Delta. Defined by Dan Valcu in his book "Heikin-Ashi: How to
    Trade Without Candlestick Patterns ".

    This indicator measures difference between Heikin Ashi close and open of
    Heikin Ashi candles, the body of the candle.

    To get signals add haDelta smoothed by 3 period moving average.

    For correct use, the data for the indicator must have been previously
    passed by the Heikin Ahsi filter.

    Formula:
      - haDelta = Heikin Ashi close - Heikin Ashi open
      - smoothed = movav(haDelta, period)

    '''
    alias = ('haD',)

    lines = ('haDelta', 'smoothed')

    params = (
        ('period', 3),
        ('movav', MovAv.SMA),
        ('autoheikin', True),
    )

    plotinfo = dict(subplot=True)

    plotlines = dict(
        haDelta=dict(color='red'),
        smoothed=dict(color='grey', _fill_gt=(0, 'green'), _fill_lt=(0, 'red'))
    )

    def __init__(self):
        d = bt.ind.HeikinAshi(self.data) if self.p.autoheikin else self.data

        self.lines.haDelta = hd = d.close - d.open
        self.lines.smoothed = self.p.movav(hd, period=self.p.period)
        super(haDelta, self).__init__()


================================================
FILE: backtrader/indicators/heikinashi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from backtrader.utils.py3 import range


__all__ = ['HeikinAshi']


class HeikinAshi(bt.Indicator):
    '''
    Heikin Ashi candlesticks in the forms of lines

    Formula:
        ha_open = (ha_open(-1) + ha_close(-1)) / 2
        ha_high = max(hi, ha_open, ha_close)
        ha_low = min(lo, ha_open, ha_close)
        ha_close = (open + high + low + close) / 4

    See also:
        https://en.wikipedia.org/wiki/Candlestick_chart#Heikin_Ashi_candlesticks
        http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:heikin_ashi
    '''
    lines = ('ha_open', 'ha_high', 'ha_low', 'ha_close',)

    linealias = (
        ('ha_open', 'open',),
        ('ha_high', 'high',),
        ('ha_low', 'low',),
        ('ha_close', 'close',),
    )

    plotinfo = dict(subplot=False)

    _nextforce = True

    def __init__(self):
        o = self.data.open
        h = self.data.high
        l = self.data.low
        c = self.data.close

        self.l.ha_close = ha_close = (o + h + l + c) / 4.0
        self.l.ha_open = ha_open = (self.l.ha_open(-1) + ha_close(-1)) / 2.0
        self.l.ha_high = bt.Max(h, ha_open, ha_close)
        self.l.ha_low = bt.Min(l, ha_open, ha_close)

        super(HeikinAshi, self).__init__()

    def prenext(self):
        # seed recursive value
        self.lines.ha_open[0] = (self.data.open[0] + self.data.close[0]) / 2.0


================================================
FILE: backtrader/indicators/hma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import MovingAverageBase, MovAv


# Inherits from MovingAverageBase to auto-register as MovingAverage type
class HullMovingAverage(MovingAverageBase):
    '''By Alan Hull

    The Hull Moving Average solves the age old dilemma of making a moving
    average more responsive to current price activity whilst maintaining curve
    smoothness. In fact the HMA almost eliminates lag altogether and manages to
    improve smoothing at the same time.

    Formula:
      - hma = wma(2 * wma(data, period // 2) - wma(data, period), sqrt(period))

    See also:
      - http://alanhull.com/hull-moving-average

    Note:

      - Please note that the final minimum period is not the period passed with
        the parameter ``period``. A final moving average on moving average is
        done in which the period is the *square root* of the original.

        In the default case of ``30`` the final minimum period before the
        moving average produces a non-NAN value is ``34``
    '''
    alias = ('HMA', 'HullMA',)
    lines = ('hma',)

    # param 'period' is inherited from MovingAverageBase
    params = (('_movav', MovAv.WMA),)

    def __init__(self):
        wma = self.p._movav(self.data, period=self.params.period)
        wma2 = 2.0 * self.p._movav(self.data, period=self.params.period // 2)

        sqrtperiod = pow(self.params.period, 0.5)
        self.lines.hma = self.p._movav(wma2 - wma, period=int(sqrtperiod))

        # Done after calc to ensure coop inheritance and composition work
        super(HullMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/hurst.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import PeriodN


__all__ = ['HurstExponent', 'Hurst']


class HurstExponent(PeriodN):
    '''
    References:

      - https://www.quantopian.com/posts/hurst-exponent
      - https://www.quantopian.com/posts/some-code-from-ernie-chans-new-book-implemented-in-python

   Interpretation of the results

      1. Geometric random walk (H=0.5)
      2. Mean-reverting series (H<0.5)
      3. Trending Series (H>0.5)

    Important notes:

      - The default period is ``40``, but experimentation by users has shown
        that it would be advisable to have at least 2000 samples (i.e.: a
        period of at least 2000) to have stable values.

      - The `lag_start` and `lag_end` values will default to be ``2`` and
        ``self.p.period / 2`` unless the parameters are specified.

        Experimentation by users has also shown that values of around ``10``
        and ``500`` produce good results

    The original values (40, 2, self.p.period / 2) are kept for backwards
    compatibility

    '''
    frompackages = (
        ('numpy', ('asarray', 'log10', 'polyfit', 'sqrt', 'std', 'subtract')),
    )

    alias = ('Hurst',)
    lines = ('hurst',)
    params = (
        ('period', 40),  # 2000 was proposed
        ('lag_start', None),  # 10 was proposed
        ('lag_end', None),  # 500 was proposed
    )

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self._lag_start]
        plabels += [self._lag_end]
        return plabels

    def __init__(self):
        super(HurstExponent, self).__init__()
        # Prepare the lags array
        self._lag_start = lag_start = self.p.lag_start or 2
        self._lag_end = lag_end = self.p.lag_end or (self.p.period // 2)
        self.lags = asarray(range(lag_start, lag_end))
        self.log10lags = log10(self.lags)

    def next(self):
        # Fetch the data
        ts = asarray(self.data.get(size=self.p.period))

        # Calculate the array of the variances of the lagged differences
        tau = [sqrt(std(subtract(ts[lag:], ts[:-lag]))) for lag in self.lags]

        # Use a linear fit to estimate the Hurst Exponent
        poly = polyfit(self.log10lags, log10(tau), 1)

        # Return the Hurst exponent from the polyfit output
        self.lines.hurst[0] = poly[0] * 2.0


================================================
FILE: backtrader/indicators/ichimoku.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import Highest, Lowest


class Ichimoku(bt.Indicator):
    '''
    Developed and published in his book in 1969 by journalist Goichi Hosoda

    Formula:
      - tenkan_sen = (Highest(High, tenkan) + Lowest(Low, tenkan)) / 2.0
      - kijun_sen = (Highest(High, kijun) + Lowest(Low, kijun)) / 2.0

      The next 2 are pushed 26 bars into the future

      - senkou_span_a = (tenkan_sen + kijun_sen) / 2.0
      - senkou_span_b = ((Highest(High, senkou) + Lowest(Low, senkou)) / 2.0

      This is pushed 26 bars into the past

      - chikou = close

    The cloud (Kumo) is formed by the area between the senkou_spans

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ichimoku_cloud

    '''
    lines = ('tenkan_sen', 'kijun_sen',
             'senkou_span_a', 'senkou_span_b', 'chikou_span',)
    params = (
        ('tenkan', 9),
        ('kijun', 26),
        ('senkou', 52),
        ('senkou_lead', 26),  # forward push
        ('chikou', 26),  # backwards push
    )

    plotinfo = dict(subplot=False)
    plotlines = dict(
        senkou_span_a=dict(_fill_gt=('senkou_span_b', 'g'),
                           _fill_lt=('senkou_span_b', 'r')),
    )

    def __init__(self):
        hi_tenkan = Highest(self.data.high, period=self.p.tenkan)
        lo_tenkan = Lowest(self.data.low, period=self.p.tenkan)
        self.l.tenkan_sen = (hi_tenkan + lo_tenkan) / 2.0

        hi_kijun = Highest(self.data.high, period=self.p.kijun)
        lo_kijun = Lowest(self.data.low, period=self.p.kijun)
        self.l.kijun_sen = (hi_kijun + lo_kijun) / 2.0

        senkou_span_a = (self.l.tenkan_sen + self.l.kijun_sen) / 2.0
        self.l.senkou_span_a = senkou_span_a(-self.p.senkou_lead)

        hi_senkou = Highest(self.data.high, period=self.p.senkou)
        lo_senkou = Lowest(self.data.low, period=self.p.senkou)
        senkou_span_b = (hi_senkou + lo_senkou) / 2.0
        self.l.senkou_span_b = senkou_span_b(-self.p.senkou_lead)

        self.l.chikou_span = self.data.close(self.p.chikou)

        super(Ichimoku, self).__init__()


================================================
FILE: backtrader/indicators/kama.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import (SumN, MovingAverageBase, ExponentialSmoothingDynamic)


class AdaptiveMovingAverage(MovingAverageBase):
    '''
    Defined by Perry Kaufman in his book `"Smarter Trading"`.

    It is A Moving Average with a continuously scaled smoothing factor by
    taking into account market direction and volatility. The smoothing factor
    is calculated from 2 ExponetialMovingAverage smoothing factors, a fast one
    and slow one.

    If the market trends the value will tend to the fast ema smoothing
    period. If the market doesn't trend it will move towards the slow EMA
    smoothing period.

    It is a subclass of SmoothingMovingAverage, overriding once to account for
    the live nature of the smoothing factor

    Formula:
      - direction = close - close_period
      - volatility = sumN(abs(close - close_n), period)
      - effiency_ratio = abs(direction / volatility)
      - fast = 2 / (fast_period + 1)
      - slow = 2 / (slow_period + 1)

      - smfactor = squared(efficienty_ratio * (fast - slow) + slow)
      - smfactor1 = 1.0  - smfactor

      - The initial seed value is a SimpleMovingAverage

    See also:
      - http://fxcodebase.com/wiki/index.php/Kaufman's_Adaptive_Moving_Average_(KAMA)
      - http://www.metatrader5.com/en/terminal/help/analytics/indicators/trend_indicators/ama
      - http://help.cqg.com/cqgic/default.htm#!Documents/adaptivemovingaverag2.htm
    '''
    alias = ('KAMA', 'MovingAverageAdaptive',)
    lines = ('kama',)
    params = (('fast', 2), ('slow', 30))

    def __init__(self):
        # Before super to ensure mixins (right-hand side in subclassing)
        # can see the assignment operation and operate on the line
        direction = self.data - self.data(-self.p.period)
        volatility = SumN(abs(self.data - self.data(-1)), period=self.p.period)

        er = abs(direction / volatility)  # efficiency ratio

        fast = 2.0 / (self.p.fast + 1.0)  # fast ema smoothing factor
        slow = 2.0 / (self.p.slow + 1.0)  # slow ema smoothing factor

        sc = pow((er * (fast - slow)) + slow, 2)  # scalable constant

        self.lines[0] = ExponentialSmoothingDynamic(self.data,
                                                    period=self.p.period,
                                                    alpha=sc)

        super(AdaptiveMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/kst.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import SMA, ROC100


class KnowSureThing(bt.Indicator):
    '''
    It is a "summed" momentum indicator. Developed by Martin Pring and
    published in 1992 in Stocks & Commodities.

    Formula:
      - rcma1 = MovAv(roc100(rp1), period)
      - rcma2 = MovAv(roc100(rp2), period)
      - rcma3 = MovAv(roc100(rp3), period)
      - rcma4 = MovAv(roc100(rp4), period)

      - kst = 1.0 * rcma1 + 2.0 * rcma2 + 3.0 * rcma3 + 4.0 * rcma4
      - signal = MovAv(kst, speriod)

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:know_sure_thing_kst

    Params

      - ``rma1``, ``rma2``, ``rma3``, ``rma4``: for the MovingAverages on ROCs
      - ``rp1``, ``rp2``, ``rp3``, ``rp4``: for the ROCs
      - ``rsig``: for the MovingAverage for the signal line
      - ``rfactors``: list of factors to apply to the different MovAv(ROCs)
      - ``_movav`` and ``_movavs``, allows to change the Moving Average type
        applied for the calculation of kst and signal

    '''
    alias = ('KST',)
    lines = ('kst', 'signal',)
    params = (
        ('rp1', 10), ('rp2', 15), ('rp3', 20), ('rp4', 30),
        ('rma1', 10), ('rma2', 10), ('rma3', 10), ('rma4', 10),
        ('rsignal', 9),
        ('rfactors', [1.0, 2.0, 3.0, 4.0]),
        ('_rmovav', SMA),
        ('_smovav', SMA),
    )

    plotinfo = dict(plothlines=[0.0])

    def __init__(self):
        rcma1 = self.p._rmovav(ROC100(period=self.p.rp1), period=self.p.rma1)
        rcma2 = self.p._rmovav(ROC100(period=self.p.rp2), period=self.p.rma2)
        rcma3 = self.p._rmovav(ROC100(period=self.p.rp3), period=self.p.rma3)
        rcma4 = self.p._rmovav(ROC100(period=self.p.rp4), period=self.p.rma4)
        self.l.kst = sum([rfi * rci for rfi, rci in
                          zip(self.p.rfactors, [rcma1, rcma2, rcma3, rcma4])])

        self.l.signal = self.p._smovav(self.l.kst, period=self.p.rsignal)
        super(KnowSureThing, self).__init__()


================================================
FILE: backtrader/indicators/lrsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import PeriodN


__all__ = ['LaguerreRSI', 'LRSI', 'LaguerreFilter', 'LAGF']


class LaguerreRSI(PeriodN):
    '''
    Defined by John F. Ehlers in `Cybernetic Analysis for Stock and Futures`,
    2004, published by Wiley. `ISBN: 978-0-471-46307-8`

    The Laguerre RSI tries to implements a better RSI by providing a sort of
    *Time Warp without Time Travel* using a Laguerre filter. This provides for
    faster reactions to price changes

    ``gamma`` is meant to have values between ``0.2`` and ``0.8``, with the
    best balance found theoretically at the default of ``0.5``
    '''
    alias = ('LRSI',)
    lines = ('lrsi',)
    params = (
        ('gamma', 0.5),
        ('period', 6),
    )

    plotinfo = dict(
        plotymargin=0.15,
        plotyticks=[0.0, 0.2, 0.5, 0.8, 1.0]
    )

    l0, l1, l2, l3 = 0.0, 0.0, 0.0, 0.0

    def next(self):
        l0_1 = self.l0  # cache previous intermediate values
        l1_1 = self.l1
        l2_1 = self.l2

        g = self.p.gamma  # avoid more lookups
        self.l0 = l0 = (1.0 - g) * self.data + g * l0_1
        self.l1 = l1 = -g * l0 + l0_1 + g * l1_1
        self.l2 = l2 = -g * l1 + l1_1 + g * l2_1
        self.l3 = l3 = -g * l2 + l2_1 + g * self.l3

        cu = 0.0
        cd = 0.0
        if l0 >= l1:
            cu = l0 - l1
        else:
            cd = l1 - l0

        if l1 >= l2:
            cu += l1 - l2
        else:
            cd += l2 - l1

        if l2 >= l3:
            cu += l2 - l3
        else:
            cd += l3 - l2

        den = cu + cd
        self.lines.lrsi[0] = 1.0 if not den else cu / den


class LaguerreFilter(PeriodN):
    '''
    Defined by John F. Ehlers in `Cybernetic Analysis for Stock and Futures`,
    2004, published by Wiley. `ISBN: 978-0-471-46307-8`

    ``gamma`` is meant to have values between ``0.2`` and ``0.8``, with the
    best balance found theoretically at the default of ``0.5``
    '''
    alias = ('LAGF',)
    lines = ('lfilter',)
    params = (('gamma', 0.5),)
    plotinfo = dict(subplot=False)

    l0, l1, l2, l3 = 0.0, 0.0, 0.0, 0.0

    def next(self):
        l0_1 = self.l0  # cache previous intermediate values
        l1_1 = self.l1
        l2_1 = self.l2

        g = self.p.gamma  # avoid more lookups
        self.l0 = l0 = (1.0 - g) * self.data + g * l0_1
        self.l1 = l1 = -g * l0 + l0_1 + g * l1_1
        self.l2 = l2 = -g * l1 + l1_1 + g * l2_1
        self.l3 = l3 = -g * l2 + l2_1 + g * self.l3
        self.lines.lfilter[0] = (l0 + (2 * l1) + (2 * l2) + l3) / 6


================================================
FILE: backtrader/indicators/mabase.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from ..utils.py3 import with_metaclass

from . import Indicator


class MovingAverage(object):
    '''MovingAverage (alias MovAv)

    A placeholder to gather all Moving Average Types in a single place.

    Instantiating a SimpleMovingAverage can be achieved as follows::

      sma = MovingAverage.Simple(self.data, period)

    Or using the shorter aliases::

      sma = MovAv.SMA(self.data, period)

    or with the full (forwards and backwards) names:

      sma = MovAv.SimpleMovingAverage(self.data, period)

      sma = MovAv.MovingAverageSimple(self.data, period)

    '''
    _movavs = []

    @classmethod
    def register(cls, regcls):
        if getattr(regcls, '_notregister', False):
            return

        cls._movavs.append(regcls)

        clsname = regcls.__name__
        setattr(cls, clsname, regcls)

        clsalias = ''
        if clsname.endswith('MovingAverage'):
            clsalias = clsname.split('MovingAverage')[0]
        elif clsname.startswith('MovingAverage'):
            clsalias = clsname.split('MovingAverage')[1]

        if clsalias:
            setattr(cls, clsalias, regcls)


class MovAv(MovingAverage):
    pass  # alias


class MetaMovAvBase(Indicator.__class__):
    # Register any MovingAverage with the placeholder to allow the automatic
    # creation of envelopes and oscillators

    def __new__(meta, name, bases, dct):
        # Create the class
        cls = super(MetaMovAvBase, meta).__new__(meta, name, bases, dct)

        MovingAverage.register(cls)

        # return the class
        return cls


class MovingAverageBase(with_metaclass(MetaMovAvBase, Indicator)):
    params = (('period', 30),)
    plotinfo = dict(subplot=False)


================================================
FILE: backtrader/indicators/macd.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, MovAv


class MACD(Indicator):
    '''
    Moving Average Convergence Divergence. Defined by Gerald Appel in the 70s.

    It measures the distance of a short and a long term moving average to
    try to identify the trend.

    A second lagging moving average over the convergence-divergence should
    provide a "signal" upon being crossed by the macd

    Formula:
      - macd = ema(data, me1_period) - ema(data, me2_period)
      - signal = ema(macd, signal_period)

    See:
      - http://en.wikipedia.org/wiki/MACD
    '''
    lines = ('macd', 'signal',)
    params = (('period_me1', 12), ('period_me2', 26), ('period_signal', 9),
              ('movav', MovAv.Exponential),)

    plotinfo = dict(plothlines=[0.0])
    plotlines = dict(signal=dict(ls='--'))

    def _plotlabel(self):
        plabels = super(MACD, self)._plotlabel()
        if self.p.isdefault('movav'):
            plabels.remove(self.p.movav)
        return plabels

    def __init__(self):
        super(MACD, self).__init__()
        me1 = self.p.movav(self.data, period=self.p.period_me1)
        me2 = self.p.movav(self.data, period=self.p.period_me2)
        self.lines.macd = me1 - me2
        self.lines.signal = self.p.movav(self.lines.macd,
                                         period=self.p.period_signal)


class MACDHisto(MACD):
    '''
    Subclass of MACD which adds a "histogram" of the difference between the
    macd and signal lines

    Formula:
      - histo = macd - signal

    See:
      - http://en.wikipedia.org/wiki/MACD
    '''
    alias = ('MACDHistogram',)

    lines = ('histo',)
    plotlines = dict(histo=dict(_method='bar', alpha=0.50, width=1.0))

    def __init__(self):
        super(MACDHisto, self).__init__()
        self.lines.histo = self.lines.macd - self.lines.signal


================================================
FILE: backtrader/indicators/momentum.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator


class Momentum(Indicator):
    '''
    Measures the change in price by calculating the difference between the
    current price and the price from a given period ago


    Formula:
      - momentum = data - data_period

    See:
      - http://en.wikipedia.org/wiki/Momentum_(technical_analysis)
    '''
    lines = ('momentum',)
    params = (('period', 12),)
    plotinfo = dict(plothlines=[0.0])

    def __init__(self):
        self.l.momentum = self.data - self.data(-self.p.period)
        super(Momentum, self).__init__()


class MomentumOscillator(Indicator):
    '''
    Measures the ratio of change in prices over a period

    Formula:
      - mosc = 100 * (data / data_period)

    See:
      - http://ta.mql4.com/indicators/oscillators/momentum
    '''
    alias = ('MomentumOsc',)

    # Named output lines
    lines = ('momosc',)

    # Accepted parameters (and defaults) -
    params = (('period', 12),
              ('band', 100.0))

    def _plotlabel(self):
        plabels = [self.p.period]
        return plabels

    def _plotinit(self):
        self.plotinfo.plothlines = [self.p.band]

    def __init__(self):
        self.l.momosc = 100.0 * (self.data / self.data(-self.p.period))
        super(MomentumOscillator, self).__init__()


class RateOfChange(Indicator):
    '''
    Measures the ratio of change in prices over a period

    Formula:
      - roc = (data - data_period) / data_period

    See:
      - http://en.wikipedia.org/wiki/Momentum_(technical_analysis)
    '''
    alias = ('ROC',)

    # Named output lines
    lines = ('roc',)

    # Accepted parameters (and defaults) -
    params = (('period', 12),)

    def __init__(self):
        dperiod = self.data(-self.p.period)
        self.l.roc = (self.data - dperiod) / dperiod
        super(RateOfChange, self).__init__()


class RateOfChange100(Indicator):
    '''
    Measures the ratio of change in prices over a period with base 100

    This is for example how ROC is defined in stockcharts

    Formula:
      - roc = 100 * (data - data_period) / data_period

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:rate_of_change_roc_and_momentum

    '''
    alias = ('ROC100',)

    # Named output lines
    lines = ('roc100',)

    # Accepted parameters (and defaults)
    params = (('period', 12),)

    def __init__(self):
        self.l.roc100 = 100.0 * ROC(self.data, period=self.p.period)
        super(RateOfChange100, self).__init__()


================================================
FILE: backtrader/indicators/ols.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import PeriodN


__all__ = ['OLS_Slope_InterceptN', 'OLS_TransformationN', 'OLS_BetaN',
           'CointN']


class OLS_Slope_InterceptN(PeriodN):
    '''
    Calculates a linear regression using ``statsmodel.OLS`` (Ordinary least
    squares) of data1 on data0

    Uses ``pandas`` and ``statsmodels``
    '''
    _mindatas = 2  # ensure at least 2 data feeds are passed

    packages = (
        ('pandas', 'pd'),
        ('statsmodels.api', 'sm'),
    )
    lines = ('slope', 'intercept',)
    params = (
        ('period', 10),
    )

    def next(self):
        p0 = pd.Series(self.data0.get(size=self.p.period))
        p1 = pd.Series(self.data1.get(size=self.p.period))
        p1 = sm.add_constant(p1)
        intercept, slope = sm.OLS(p0, p1).fit().params

        self.lines.slope[0] = slope
        self.lines.intercept[0] = intercept


class OLS_TransformationN(PeriodN):
    '''
    Calculates the ``zscore`` for data0 and data1. Although it doesn't directly
    uses any external package it relies on ``OLS_SlopeInterceptN`` which uses
    ``pandas`` and ``statsmodels``
    '''
    _mindatas = 2  # ensure at least 2 data feeds are passed
    lines = ('spread', 'spread_mean', 'spread_std', 'zscore',)
    params = (('period', 10),)

    def __init__(self):
        slint = OLS_Slope_InterceptN(*self.datas)

        spread = self.data0 - (slint.slope * self.data1 + slint.intercept)
        self.l.spread = spread

        self.l.spread_mean = bt.ind.SMA(spread, period=self.p.period)
        self.l.spread_std = bt.ind.StdDev(spread, period=self.p.period)
        self.l.zscore = (spread - self.l.spread_mean) / self.l.spread_std


class OLS_BetaN(PeriodN):
    '''
    Calculates a regression of data1 on data0 using ``pandas.ols``

    Uses ``pandas``
    '''
    _mindatas = 2  # ensure at least 2 data feeds are passed

    packages = (
        ('pandas', 'pd'),
    )

    lines = ('beta',)
    params = (('period', 10),)

    def next(self):
        y, x = (pd.Series(d.get(size=self.p.period)) for d in self.datas)
        r_beta = pd.ols(y=y, x=x, window_type='full_sample')
        self.lines.beta[0] = r_beta.beta['x']


class CointN(PeriodN):
    '''
    Calculates the score (coint_t) and pvalue for a given ``period`` for the
    data feeds

    Uses ``pandas`` and ``statsmodels`` (for ``coint``)
    '''
    _mindatas = 2  # ensure at least 2 data feeds are passed

    packages = (
        ('pandas', 'pd'),  # import pandas as pd
    )
    frompackages = (
        ('statsmodels.tsa.stattools', 'coint'),  # from st... import coint
    )

    lines = ('score', 'pvalue',)
    params = (
        ('period', 10),
        ('trend', 'c'),  # see statsmodel.tsa.statttools
    )

    def next(self):
        x, y = (pd.Series(d.get(size=self.p.period)) for d in self.datas)
        score, pvalue, _ = coint(x, y, trend=self.p.trend)
        self.lines.score[0] = score
        self.lines.pvalue[0] = pvalue


================================================
FILE: backtrader/indicators/oscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys


from . import Indicator, MovingAverage


class OscillatorMixIn(Indicator):
    '''
    MixIn class to create a subclass with another indicator. The main line of
    that indicator will be substracted from the other base class main line
    creating an oscillator

    The usage is:

      - Class XXXOscillator(XXX, OscillatorMixIn)

    Formula:
      - XXX calculates lines[0]
      - osc = self.data - XXX.lines[0]
    '''
    plotlines = dict(_0=dict(_name='osc'))

    def _plotinit(self):
        try:
            lname = self.lines._getlinealias(0)
            self.plotlines._0._name = lname + '_osc'
        except AttributeError:
            pass

    def __init__(self):
        self.lines[0] = self.data - self.lines[0]
        super(OscillatorMixIn, self).__init__()


class Oscillator(Indicator):
    '''
    Oscillation of a given data around another data

    Datas:
      This indicator can accept 1 or 2 datas for the calculation.

      - If 1 data is provided, it must be a complex "Lines" object (indicator)
        which also has "datas". Example: A moving average

        The calculated oscillation will be that of the Moving Average (in the
        example) around the data that was used for the average calculation

      - If 2 datas are provided the calculated oscillation will be that of the
        2nd data around the 1st data

    Formula:
      - 1 data -> osc = data.data - data
      - 2 datas -> osc = data0 - data1
    '''
    lines = ('osc',)

    # Have a default value which can be later modified if needed
    plotlines = dict(_0=dict(_name='osc'))

    def _plotinit(self):
        try:
            lname = self.dataosc._getlinealias(0)
            self.plotlines._0._name = lname + '_osc'
        except AttributeError:
            pass

    def __init__(self):
        super(Oscillator, self).__init__()

        if len(self.datas) > 1:
            datasrc = self.data
            self.dataosc = self.data1
        else:
            datasrc = self.data.data
            self.dataosc = self.data

        self.lines[0] = datasrc - self.dataosc


# Automatic creation of Oscillating Lines

for movav in MovingAverage._movavs[1:]:
    _newclsdoc = '''
    Oscillation of a %s around its data
    '''
    # Skip aliases - they will be created automatically
    if getattr(movav, 'aliased', ''):
        continue

    movname = movav.__name__
    linename = movav.lines._getlinealias(0)
    newclsname = movname + 'Oscillator'

    newaliases = [movname + 'Osc']
    for alias in getattr(movav, 'alias', []):
        for suffix in ['Oscillator', 'Osc']:
            newaliases.append(alias + suffix)

    newclsdoc = _newclsdoc % movname
    newclsdct = {'__doc__': newclsdoc,
                 '__module__': OscillatorMixIn.__module__,
                 '_notregister': True,
                 'alias': newaliases}

    newcls = type(str(newclsname), (movav, OscillatorMixIn), newclsdct)
    module = sys.modules[OscillatorMixIn.__module__]
    setattr(module, newclsname, newcls)


================================================
FILE: backtrader/indicators/percentchange.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator


__all__ = ['PercentChange', 'PctChange']


class PercentChange(Indicator):
    '''
      Measures the perccentage change of the current value with respect to that
      of period bars ago
    '''
    alias = ('PctChange',)
    lines = ('pctchange',)

    # Fancy plotting name
    plotlines = dict(pctchange=dict(_name='%change'))

    # update value to standard for Moving Averages
    params = (('period', 30),)

    def __init__(self):
        self.lines.pctchange = self.data / self.data(-self.p.period) - 1.0
        super(PercentChange, self).__init__()


================================================
FILE: backtrader/indicators/percentrank.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from math import fsum

from . import BaseApplyN


__all__ = ['PercentRank', 'PctRank']


class PercentRank(BaseApplyN):
    '''
    Measures the percent rank of the current value with respect to that of
    period bars ago
    '''
    alias = ('PctRank',)
    lines = ('pctrank',)
    params = (
        ('period', 50),
        ('func', lambda d: fsum(x < d[-1] for x in d) / len(d)),
    )


================================================
FILE: backtrader/indicators/pivotpoint.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, CmpEx


class PivotPoint(Indicator):
    '''
    Defines a level of significance by taking into account the average of price
    bar components of the past period of a larger timeframe. For example when
    operating with days, the values are taking from the already "past" month
    fixed prices.

    Example of using this indicator:

      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)
      cerebro.adddata(data)
      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)

    In the ``__init__`` method of the strategy:

      pivotindicator = btind.PivotPoiont(self.data1)  # the resampled data

    The indicator will try to automatically plo to the non-resampled data. To
    disable this behavior use the following during construction:

      - _autoplot=False

    Note:

      The example shows *days* and *months*, but any combination of timeframes
      can be used. See the literature for recommended combinations

    Formula:
      - pivot = (h + l + c) / 3  # variants duplicate close or add open
      - support1 = 2.0 * pivot - high
      - support2 = pivot - (high - low)
      - resistance1 = 2.0 * pivot - low
      - resistance2 = pivot + (high - low)

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points
      - https://en.wikipedia.org/wiki/Pivot_point_(technical_analysis)
    '''
    lines = ('p', 's1', 's2', 'r1', 'r2',)
    plotinfo = dict(subplot=False)

    params = (
        ('open', False),  # add opening price to the pivot point
        ('close', False),  # use close twice in the calcs
        ('_autoplot', True),  # attempt to plot on real target data
    )

    def _plotinit(self):
        # Try to plot to the actual timeframe master
        if self.p._autoplot:
            if hasattr(self.data, 'data'):
                self.plotinfo.plotmaster = self.data.data

    def __init__(self):
        o = self.data.open
        h = self.data.high  # current high
        l = self.data.low  # current low
        c = self.data.close  # current close

        if self.p.close:
            self.lines.p = p = (h + l + 2.0 * c) / 4.0
        elif self.p.open:
            self.lines.p = p = (h + l + c + o) / 4.0
        else:
            self.lines.p = p = (h + l + c) / 3.0

        self.lines.s1 = 2.0 * p - h
        self.lines.r1 = 2.0 * p - l

        self.lines.s2 = p - (h - l)
        self.lines.r2 = p + (h - l)

        super(PivotPoint, self).__init__()  # enable coopertive inheritance

        if self.p._autoplot:
            self.plotinfo.plot = False  # disable own plotting
            self()  # Coupler to follow real object


class FibonacciPivotPoint(Indicator):
    '''
    Defines a level of significance by taking into account the average of price
    bar components of the past period of a larger timeframe. For example when
    operating with days, the values are taking from the already "past" month
    fixed prices.

    Fibonacci levels (configurable) are used to define the support/resistance levels

    Example of using this indicator:

      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)
      cerebro.adddata(data)
      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)

    In the ``__init__`` method of the strategy:

      pivotindicator = btind.FibonacciPivotPoiont(self.data1)  # the resampled data

    The indicator will try to automatically plo to the non-resampled data. To
    disable this behavior use the following during construction:

      - _autoplot=False

    Note:

      The example shows *days* and *months*, but any combination of timeframes
      can be used. See the literature for recommended combinations

    Formula:
      - pivot = (h + l + c) / 3  # variants duplicate close or add open
      - support1 = p - level1 * (high - low)  # level1 0.382
      - support2 = p - level2 * (high - low)  # level2 0.618
      - support3 = p - level3 * (high - low)  # level3 1.000
      - resistance1 = p + level1 * (high - low)  # level1 0.382
      - resistance2 = p + level2 * (high - low)  # level2 0.618
      - resistance3 = p + level3 * (high - low)  # level3 1.000

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points
    '''
    lines = ('p', 's1', 's2', 's3', 'r1', 'r2', 'r3')
    plotinfo = dict(subplot=False)
    params = (
        ('open', False),  # add opening price to the pivot point
        ('close', False),  # use close twice in the calcs
        ('_autoplot', True),  # attempt to plot on real target data
        ('level1', 0.382),
        ('level2', 0.618),
        ('level3', 1.0),
    )

    def _plotinit(self):
        # Try to plot to the actual timeframe master
        if self.p._autoplot:
            if hasattr(self.data, 'data'):
                self.plotinfo.plotmaster = self.data.data

    def __init__(self):
        o = self.data.open
        h = self.data.high  # current high
        l = self.data.low  # current high
        c = self.data.close  # current high

        if self.p.close:
            self.lines.p = p = (h + l + 2.0 * c) / 4.0
        elif self.p.open:
            self.lines.p = p = (h + l + c + o) / 4.0
        else:
            self.lines.p = p = (h + l + c) / 3.0

        self.lines.s1 = p - self.p.level1 * (h - l)
        self.lines.s2 = p - self.p.level2 * (h - l)
        self.lines.s3 = p - self.p.level3 * (h - l)

        self.lines.r1 = p + self.p.level1 * (h - l)
        self.lines.r2 = p + self.p.level2 * (h - l)
        self.lines.r3 = p + self.p.level3 * (h - l)

        super(FibonacciPivotPoint, self).__init__()

        if self.p._autoplot:
            self.plotinfo.plot = False  # disable own plotting
            self()  # Coupler to follow real object


class DemarkPivotPoint(Indicator):
    '''
    Defines a level of significance by taking into account the average of price
    bar components of the past period of a larger timeframe. For example when
    operating with days, the values are taking from the already "past" month
    fixed prices.

    Example of using this indicator:

      data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days)
      cerebro.adddata(data)
      cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)

    In the ``__init__`` method of the strategy:

      pivotindicator = btind.DemarkPivotPoiont(self.data1)  # the resampled data

    The indicator will try to automatically plo to the non-resampled data. To
    disable this behavior use the following during construction:

      - _autoplot=False

    Note:

      The example shows *days* and *months*, but any combination of timeframes
      can be used. See the literature for recommended combinations

    Formula:
      - if close < open x = high + (2 x low) + close

      - if close > open x = (2 x high) + low + close

      - if Close == open x = high + low + (2 x close)

      - p = x / 4

      - support1 = x / 2 - high
      - resistance1 = x / 2 - low

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points
    '''
    lines = ('p', 's1', 'r1',)
    plotinfo = dict(subplot=False)
    params = (
        ('open', False),  # add opening price to the pivot point
        ('close', False),  # use close twice in the calcs
        ('_autoplot', True),  # attempt to plot on real target data
        ('level1', 0.382),
        ('level2', 0.618),
        ('level3', 1.0),
    )

    def _plotinit(self):
        # Try to plot to the actual timeframe master
        if self.p._autoplot:
            if hasattr(self.data, 'data'):
                self.plotinfo.plotmaster = self.data.data

    def __init__(self):
        x1 = self.data.high + 2.0 * self.data.low + self.data.close
        x2 = 2.0 * self.data.high + self.data.low + self.data.close
        x3 = self.data.high + self.data.low + 2.0 * self.data.close

        x = CmpEx(self.data.close, self.data.open, x1, x2, x3)
        self.lines.p = x / 4.0

        self.lines.s1 = x / 2.0 - self.data.high
        self.lines.r1 = x / 2.0 - self.data.low

        super(DemarkPivotPoint, self).__init__()

        if self.p._autoplot:
            self.plotinfo.plot = False  # disable own plotting
            self()  # Coupler to follow real object


================================================
FILE: backtrader/indicators/prettygoodoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import Indicator, MovAv, ATR


class PrettyGoodOscillator(Indicator):
    '''
    The "Pretty Good Oscillator" (PGO) by Mark Johnson measures the distance of
    the current close from its simple moving average of period
    Average), expressed in terms of an average true range (see Average True
    Range) over a similar period.

    So for instance a PGO value of +2.5 would mean the current close is 2.5
    average days' range above the SMA.

    Johnson's approach was to use it as a breakout system for longer term
    trades. If the PGO rises above 3.0 then go long, or below -3.0 then go
    short, and in both cases exit on returning to zero (which is a close back
    at the SMA).

    Formula:
      - pgo = (data.close - sma(data, period)) / atr(data, period)

    See also:
      - http://user42.tuxfamily.org/chart/manual/Pretty-Good-Oscillator.html

    '''
    alias = ('PGO', 'PrettyGoodOsc',)
    lines = ('pgo',)

    params = (('period', 14), ('_movav', MovAv.Simple),)

    def __init__(self):
        movav = self.p._movav(self.data, period=self.p.period)
        atr = ATR(self.data, period=self.p.period)

        self.lines.pgo = (self.data - movav) / atr
        super(PrettyGoodOscillator, self).__init__()


================================================
FILE: backtrader/indicators/priceoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, Max, MovAv


class _PriceOscBase(Indicator):
    params = (('period1', 12), ('period2', 26),
              ('_movav', MovAv.Exponential),)

    plotinfo = dict(plothlines=[0.0])

    def __init__(self):
        self.ma1 = self.p._movav(self.data, period=self.p.period1)
        self.ma2 = self.p._movav(self.data, period=self.p.period2)
        self.lines[0] = self.ma1 - self.ma2

        super(_PriceOscBase, self).__init__()


class PriceOscillator(_PriceOscBase):
    '''
    Shows the difference between a short and long exponential moving
    averages expressed in points.

    Formula:
      - po = ema(short) - ema(long)

    See:
      - http://www.metastock.com/Customer/Resources/TAAZ/?c=3&p=94
    '''
    alias = ('PriceOsc', 'AbsolutePriceOscillator', 'APO', 'AbsPriceOsc',)
    lines = ('po',)


class PercentagePriceOscillator(_PriceOscBase):
    '''
    Shows the difference between a short and long exponential moving
    averages expressed in percentage. The MACD does the same but expressed in
    absolute points.

    Expressing the difference in percentage allows to compare the indicator at
    different points in time when the underlying value has significatnly
    different values.

    Formula:
      - po = 100 * (ema(short) - ema(long)) / ema(long)

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:price_oscillators_ppo
    '''
    _long = True

    alias = ('PPO', 'PercPriceOsc',)

    lines = ('ppo', 'signal', 'histo')
    params = (('period_signal', 9),)

    plotlines = dict(histo=dict(_method='bar', alpha=0.50, width=1.0))

    def __init__(self):
        super(PercentagePriceOscillator, self).__init__()

        den = self.ma2 if self._long else self.ma1

        self.lines.ppo = 100.0 * self.lines[0] / den
        self.l.signal = self.p._movav(self.l.ppo, period=self.p.period_signal)
        self.lines.histo = self.lines.ppo - self.lines.signal


class PercentagePriceOscillatorShort(PercentagePriceOscillator):
    '''
    Shows the difference between a short and long exponential moving
    averages expressed in percentage. The MACD does the same but expressed in
    absolute points.

    Expressing the difference in percentage allows to compare the indicator at
    different points in time when the underlying value has significatnly
    different values.

    Most on-line literature shows the percentage calculation having the long
    exponential moving average as the denominator. Some sources like MetaStock
    use the short one.

    Formula:
      - po = 100 * (ema(short) - ema(long)) / ema(short)

    See:
      - http://www.metastock.com/Customer/Resources/TAAZ/?c=3&p=94
    '''
    _long = False
    alias = ('PPOShort', 'PercPriceOscShort',)


================================================
FILE: backtrader/indicators/psar.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import PeriodN


__all__ = ['ParabolicSAR', 'PSAR']


class _SarStatus(object):
    sar = None
    tr = None
    af = 0.0
    ep = 0.0

    def __str__(self):
        txt = []
        txt.append('sar: {}'.format(self.sar))
        txt.append('tr: {}'.format(self.tr))
        txt.append('af: {}'.format(self.af))
        txt.append('ep: {}'.format(self.ep))
        return '\n'.join(txt)


class ParabolicSAR(PeriodN):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the RSI

    SAR stands for *Stop and Reverse* and the indicator was meant as a signal
    for entry (and reverse)

    How to select the 1st signal is left unspecified in the book and the
    increase/decrease of bars

    See:
      - https://en.wikipedia.org/wiki/Parabolic_SAR
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:parabolic_sar
    '''
    alias = ('PSAR',)
    lines = ('psar',)
    params = (
        ('period', 2),  # when to start showing values
        ('af', 0.02),
        ('afmax', 0.20),
    )

    plotinfo = dict(subplot=False)
    plotlines = dict(
        psar=dict(
            marker='.', markersize=4.0, color='black', fillstyle='full', ls=''
        ),
    )

    def prenext(self):
        if len(self) == 1:
            self._status = []  # empty status
            return  # not enough data to do anything

        elif len(self) == 2:
            self.nextstart()  # kickstart calculation
        else:
            self.next()  # regular calc

        self.lines.psar[0] = float('NaN')  # no return yet still prenext

    def nextstart(self):
        if self._status:  # some states have been calculated
            self.next()  # delegate
            return

        # Prepare a status holding array, for current and previous lengths
        self._status = [_SarStatus(), _SarStatus()]

        # Start by looking if price has gone up/down (close) in the 2nd day to
        # get an *entry* signal and configure the values as they would have
        # been in the previous trend, including a sar value which is
        # immediately invalidated in next, which reverses and sets the trend to
        # the actual up/down value calculated with the close
        # Put the 4 status variables in a Status holder
        plenidx = (len(self) - 1) % 2  # previous length index (0 or 1)
        status = self._status[plenidx]

        # Calculate the status for previous length
        status.sar = (self.data.high[0] + self.data.low[0]) / 2.0

        status.af = self.p.af
        if self.data.close[0] >= self.data.close[-1]:  # uptrend
            status.tr = not True  # uptrend when reversed
            status.ep = self.data.low[-1]  # ep from prev trend
        else:
            status.tr = not False  # downtrend when reversed
            status.ep = self.data.high[-1]  # ep from prev trend

        # With the fake prev trend in place and a sar which will be invalidated
        # go to next to get the calculation done
        self.next()

    def next(self):
        hi = self.data.high[0]
        lo = self.data.low[0]

        plenidx = (len(self) - 1) % 2  # previous length index (0 or 1)
        status = self._status[plenidx]  # use prev status for calculations

        tr = status.tr
        sar = status.sar

        # Check if the sar penetrated the price to switch the trend
        if (tr and sar >= lo) or (not tr and sar <= hi):
            tr = not tr  # reverse the trend
            sar = status.ep  # new sar is prev SIP (Significant price)
            ep = hi if tr else lo  # select new SIP / Extreme Price
            af = self.p.af  # reset acceleration factor

        else:  # use the precalculated values
            ep = status.ep
            af = status.af

        # Update sar value for today
        self.lines.psar[0] = sar

        # Update ep and af if needed
        if tr:  # long trade
            if hi > ep:
                ep = hi
                af = min(af + self.p.af, self.p.afmax)

        else:  # downtrend
            if lo < ep:
                ep = lo
                af = min(af + self.p.af, self.p.afmax)

        sar = sar + af * (ep - sar)  # calculate the sar for tomorrow

        # make sure sar doesn't go into hi/lows
        if tr:  # long trade
            lo1 = self.data.low[-1]
            if sar > lo or sar > lo1:
                sar = min(lo, lo1)  # sar not above last 2 lows -> lower
        else:
            hi1 = self.data.high[-1]
            if sar < hi or sar < hi1:
                sar = max(hi, hi1)  # sar not below last 2 highs -> highest

        # new status has been calculated, keep it in current length
        # will be used when length moves forward
        newstatus = self._status[not plenidx]
        newstatus.tr = tr
        newstatus.sar = sar
        newstatus.ep = ep
        newstatus.af = af


================================================
FILE: backtrader/indicators/rmi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Ssoftware Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import RSI


class RelativeMomentumIndex(RSI):
    '''
    Description:
    The Relative Momentum Index was developed by Roger Altman and was
    introduced in his article in the February, 1993 issue of Technical Analysis
    of Stocks & Commodities magazine.

    While your typical RSI counts up and down days from close to close, the
    Relative Momentum Index counts up and down days from the close relative to
    a close x number of days ago. The result is an RSI that is a bit smoother.

    Usage:
    Use in the same way you would any other RSI . There are overbought and
    oversold zones, and can also be used for divergence and trend analysis.

    See:
      - https://www.marketvolume.com/technicalanalysis/relativemomentumindex.asp
      - https://www.tradingview.com/script/UCm7fIvk-FREE-INDICATOR-Relative-Momentum-Index-RMI/
      - https://www.prorealcode.com/prorealtime-indicators/relative-momentum-index-rmi/

    '''
    alias = ('RMI', )

    linealias = (('rsi', 'rmi',),)  # add an alias for this class rmi -> rsi
    plotlines = dict(rsi=dict(_name='rmi'))  # change line plotting name

    params = (
        ('period', 20),
        ('lookback', 5),
    )

    def _plotlabel(self):
        # override to always print the lookback label and do it before movav
        plabels = [self.p.period]
        plabels += [self.p.lookback]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels


================================================
FILE: backtrader/indicators/rsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, Max, MovAv
from . import DivZeroByZero


class UpDay(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the RSI

    Records days which have been "up", i.e.: the close price has been
    higher than the day before.

    Formula:
      - upday = max(close - close_prev, 0)

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    lines = ('upday',)
    params = (('period', 1),)

    def __init__(self):
        self.lines.upday = Max(self.data - self.data(-self.p.period), 0.0)
        super(UpDay, self).__init__()


class DownDay(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the RSI

    Records days which have been "down", i.e.: the close price has been
    lower than the day before.

    Formula:
      - downday = max(close_prev - close, 0)

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    lines = ('downday',)
    params = (('period', 1),)

    def __init__(self):
        self.lines.downday = Max(self.data(-self.p.period) - self.data, 0.0)
        super(DownDay, self).__init__()


class UpDayBool(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the RSI

    Records days which have been "up", i.e.: the close price has been
    higher than the day before.

    Note:
      - This version returns a bool rather than the difference

    Formula:
      - upday = close > close_prev

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    lines = ('upday',)
    params = (('period', 1),)

    def __init__(self):
        self.lines.upday = self.data > self.data(-self.p.period)
        super(UpDayBool, self).__init__()


class DownDayBool(Indicator):
    '''
    Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"* for the RSI

    Records days which have been "down", i.e.: the close price has been
    lower than the day before.

    Note:
      - This version returns a bool rather than the difference

    Formula:
      - downday = close_prev > close

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    lines = ('downday',)
    params = (('period', 1),)

    def __init__(self):
        self.lines.downday = self.data(-self.p.period) > self.data
        super(DownDayBool, self).__init__()


class RelativeStrengthIndex(Indicator):
    '''Defined by J. Welles Wilder, Jr. in 1978 in his book *"New Concepts in
    Technical Trading Systems"*.

    It measures momentum by calculating the ration of higher closes and
    lower closes after having been smoothed by an average, normalizing
    the result between 0 and 100

    Formula:
      - up = upday(data)
      - down = downday(data)
      - maup = movingaverage(up, period)
      - madown = movingaverage(down, period)
      - rs = maup / madown
      - rsi = 100 - 100 / (1 + rs)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index

    Notes:
      - ``safediv`` (default: False) If this parameter is True the division
        rs = maup / madown will be checked for the special cases in which a
        ``0 / 0`` or ``x / 0`` division will happen

      - ``safehigh`` (default: 100.0) will be used as RSI value for the
        ``x / 0`` case

      - ``safelow``  (default: 50.0) will be used as RSI value for the
        ``0 / 0`` case
    '''
    alias = ('RSI', 'RSI_SMMA', 'RSI_Wilder',)

    lines = ('rsi',)
    params = (
        ('period', 14),
        ('movav', MovAv.Smoothed),
        ('upperband', 70.0),
        ('lowerband', 30.0),
        ('safediv', False),
        ('safehigh', 100.0),
        ('safelow', 50.0),
        ('lookback', 1),
    )

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        plabels += [self.p.lookback] * self.p.notdefault('lookback')
        return plabels

    def _plotinit(self):
        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]

    def __init__(self):
        upday = UpDay(self.data, period=self.p.lookback)
        downday = DownDay(self.data, period=self.p.lookback)
        maup = self.p.movav(upday, period=self.p.period)
        madown = self.p.movav(downday, period=self.p.period)
        if not self.p.safediv:
            rs = maup / madown
        else:
            highrs = self._rscalc(self.p.safehigh)
            lowrs = self._rscalc(self.p.safelow)
            rs = DivZeroByZero(maup, madown, highrs, lowrs)

        self.lines.rsi = 100.0 - 100.0 / (1.0 + rs)
        super(RelativeStrengthIndex, self).__init__()

    def _rscalc(self, rsi):
        try:
            rs = (-100.0 / (rsi - 100.0)) - 1.0
        except ZeroDivisionError:
            return float('inf')

        return rs


class RSI_Safe(RSI):
    '''
    Subclass of RSI which changes parameers ``safediv`` to ``True`` as the
    default value

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    params = (('safediv', True),)


class RSI_SMA(RSI):
    '''
    Uses a SimpleMovingAverage as described in Wikipedia and other soures

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    alias = ('RSI_Cutler',)

    params = (('movav', MovAv.Simple),)


class RSI_EMA(RSI):
    '''
    Uses an ExponentialMovingAverage as described in Wikipedia

    See:
      - http://en.wikipedia.org/wiki/Relative_strength_index
    '''
    params = (('movav', MovAv.Exponential),)


================================================
FILE: backtrader/indicators/sma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import MovingAverageBase, Average


class MovingAverageSimple(MovingAverageBase):
    '''
    Non-weighted average of the last n periods

    Formula:
      - movav = Sum(data, period) / period

    See also:
      - http://en.wikipedia.org/wiki/Moving_average#Simple_moving_average
    '''
    alias = ('SMA', 'SimpleMovingAverage',)
    lines = ('sma',)

    def __init__(self):
        # Before super to ensure mixins (right-hand side in subclassing)
        # can see the assignment operation and operate on the line
        self.lines[0] = Average(self.data, period=self.p.period)

        super(MovingAverageSimple, self).__init__()


================================================
FILE: backtrader/indicators/smma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import MovingAverageBase, ExponentialSmoothing


class SmoothedMovingAverage(MovingAverageBase):
    '''
    Smoothing Moving Average used by Wilder in his 1978 book `New Concepts in
    Technical Trading`

    Defined in his book originally as:

      - new_value = (old_value * (period - 1) + new_data) / period

    Can be expressed as a SmoothingMovingAverage with the following factors:

      - self.smfactor -> 1.0 / period
      - self.smfactor1 -> `1.0 - self.smfactor`

    Formula:
      - movav = prev * (1.0 - smoothfactor) + newdata * smoothfactor

    See also:
      - http://en.wikipedia.org/wiki/Moving_average#Modified_moving_average
    '''
    alias = ('SMMA', 'WilderMA', 'MovingAverageSmoothed',
             'MovingAverageWilder', 'ModifiedMovingAverage',)
    lines = ('smma',)

    def __init__(self):
        # Before super to ensure mixins (right-hand side in subclassing)
        # can see the assignment operation and operate on the line
        self.lines[0] = ExponentialSmoothing(
            self.data,
            period=self.p.period,
            alpha=1.0 / self.p.period)
        super(SmoothedMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/stochastic.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, Max, MovAv, Highest, Lowest, DivByZero


class _StochasticBase(Indicator):
    lines = ('percK', 'percD',)
    params = (('period', 14), ('period_dfast', 3), ('movav', MovAv.Simple),
              ('upperband', 80.0), ('lowerband', 20.0),
              ('safediv', False), ('safezero', 0.0))

    plotlines = dict(percD=dict(_name='%D', ls='--'),
                     percK=dict(_name='%K'))

    def _plotlabel(self):
        plabels = [self.p.period, self.p.period_dfast]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def _plotinit(self):
        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]

    def __init__(self):
        highesthigh = Highest(self.data.high, period=self.p.period)
        lowestlow = Lowest(self.data.low, period=self.p.period)
        knum = self.data.close - lowestlow
        kden = highesthigh - lowestlow
        if self.p.safediv:
            self.k = 100.0 * DivByZero(knum, kden, zero=self.p.safezero)
        else:
            self.k = 100.0 * (knum / kden)
        self.d = self.p.movav(self.k, period=self.p.period_dfast)

        super(_StochasticBase, self).__init__()


class StochasticFast(_StochasticBase):
    '''
    By Dr. George Lane in the 50s. It compares a closing price to the price
    range and tries to show convergence if the closing prices are close to the
    extremes

      - It will go up if closing prices are close to the highs
      - It will roughly go down if closing prices are close to the lows

    It shows divergence if the extremes keep on growing but closing prices
    do not in the same manner (distance to the extremes grow)

    Formula:
      - hh = highest(data.high, period)
      - ll = lowest(data.low, period)
      - knum = data.close - ll
      - kden = hh - ll
      - k = 100 * (knum / kden)
      - d = MovingAverage(k, period_dfast)

    See:
      - http://en.wikipedia.org/wiki/Stochastic_oscillator
    '''
    def __init__(self):
        super(StochasticFast, self).__init__()
        self.lines.percK = self.k
        self.lines.percD = self.d


class Stochastic(_StochasticBase):
    '''
    The regular (or slow version) adds an additional moving average layer and
    thus:

      - The percD line of the StochasticFast becomes the percK line
      - percD becomes a  moving average of period_dslow of the original percD

    Formula:
      - k = k
      - d = d
      - d = MovingAverage(d, period_dslow)

    See:
      - http://en.wikipedia.org/wiki/Stochastic_oscillator
    '''
    alias = ('StochasticSlow',)
    params = (('period_dslow', 3),)

    def _plotlabel(self):
        plabels = [self.p.period, self.p.period_dfast, self.p.period_dslow]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        super(Stochastic, self).__init__()
        self.lines.percK = self.d
        self.l.percD = self.p.movav(self.l.percK, period=self.p.period_dslow)


class StochasticFull(_StochasticBase):
    '''
    This version displays the 3 possible lines:

      - percK
      - percD
      - percSlow

    Formula:
      - k = d
      - d = MovingAverage(k, period_dslow)
      - dslow =

    See:
      - http://en.wikipedia.org/wiki/Stochastic_oscillator
    '''
    lines = ('percDSlow',)
    params = (('period_dslow', 3),)

    plotlines = dict(percDSlow=dict(_name='%DSlow'))

    def _plotlabel(self):
        plabels = [self.p.period, self.p.period_dfast, self.p.period_dslow]
        plabels += [self.p.movav] * self.p.notdefault('movav')
        return plabels

    def __init__(self):
        super(StochasticFull, self).__init__()
        self.lines.percK = self.k
        self.lines.percD = self.d
        self.l.percDSlow = self.p.movav(
            self.l.percD, period=self.p.period_dslow)


================================================
FILE: backtrader/indicators/trix.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import Indicator, MovAv


class Trix(Indicator):
    '''
    Defined by Jack Hutson in the 80s and shows the Rate of Change (%) or slope
    of a triple exponentially smoothed moving average

    Formula:
      - ema1 = EMA(data, period)
      - ema2 = EMA(ema1, period)
      - ema3 = EMA(ema2, period)
      - trix = 100 * (ema3 - ema3(-1)) / ema3(-1)

      The final formula can be simplified to: 100 * (ema3 / ema3(-1) - 1)

    The moving average used is the one originally defined by Wilder,
    the SmoothedMovingAverage

    See:
      - https://en.wikipedia.org/wiki/Trix_(technical_analysis)
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:trix
    '''
    alias = ('TRIX',)
    lines = ('trix',)
    params = (('period', 15), ('_rocperiod', 1), ('_movav', MovAv.EMA),)

    plotinfo = dict(plothlines=[0.0])

    def _plotlabel(self):
        plabels = [self.p.period]
        plabels += [self.p._rocperiod] * self.p.notdefault('_rocperiod')
        plabels += [self.p._movav] * self.p.notdefault('_movav')
        return plabels

    def __init__(self):

        ema1 = self.p._movav(self.data, period=self.p.period)
        ema2 = self.p._movav(ema1, period=self.p.period)
        ema3 = self.p._movav(ema2, period=self.p.period)

        # 1 period Percentage Rate of Change
        self.lines.trix = 100.0 * (ema3 / ema3(-self.p._rocperiod) - 1.0)

        super(Trix, self).__init__()


class TrixSignal(Trix):
    '''
    Extension of Trix with a signal line (ala MACD)

    Formula:
      - trix = Trix(data, period)
      - signal = EMA(trix, sigperiod)

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:trix
    '''
    lines = ('signal',)
    params = (('sigperiod', 9),)

    def __init__(self):
        super(TrixSignal, self).__init__()

        self.l.signal = self.p._movav(self.lines[0], period=self.p.sigperiod)


================================================
FILE: backtrader/indicators/tsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from . import EMA


class TrueStrengthIndicator(bt.Indicator):
    '''
    The True Strength Indicators was first introduced in Stocks & Commodities
    Magazine by its author William Blau. It measures momentum with a double
    exponential (default) of the prices.

    It shows divergence if the extremes keep on growign but closing prices
    do not in the same manner (distance to the extremes grow)

    Formula:
      - price_change = close - close(pchange periods ago)
      - sm1_simple = EMA(price_close_change, period1)
      - sm1_double = EMA(sm1_simple, period2)
      - sm2_simple = EMA(abs(price_close_change), period1)
      - sm2_double = EMA(sm2_simple, period2)
      - tsi = 100.0 * sm1_double / sm2_double

    See:
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:true_strength_index

    Params

      - ``period1``: the period for the 1st smoothing
      - ``period2``: the period for the 2nd smoothing
      - ``pchange``: the lookback period for the price change
      - ``_movav``: the moving average to apply for the smoothing
    '''
    alias = ('TSI',)
    params = (
        ('period1', 25),
        ('period2', 13),
        ('pchange', 1),
        ('_movav', EMA),
    )
    lines = ('tsi',)

    def __init__(self):
        pc = self.data - self.data(-self.p.pchange)

        sm1 = self.p._movav(pc, period=self.p.period1)
        sm12 = self.p._movav(sm1, period=self.p.period2)

        sm2 = self.p._movav(abs(pc), period=self.p.period1)
        sm22 = self.p._movav(sm2, period=self.p.period2)

        self.lines.tsi = 100.0 * (sm12 / sm22)


================================================
FILE: backtrader/indicators/ultimateoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from backtrader.indicators import SumN, TrueLow, TrueRange


class UltimateOscillator(bt.Indicator):
    '''
    Formula:
      # Buying Pressure = Close - TrueLow
      BP = Close - Minimum(Low or Prior Close)

      # TrueRange = TrueHigh - TrueLow
      TR = Maximum(High or Prior Close)  -  Minimum(Low or Prior Close)

      Average7 = (7-period BP Sum) / (7-period TR Sum)
      Average14 = (14-period BP Sum) / (14-period TR Sum)
      Average28 = (28-period BP Sum) / (28-period TR Sum)

      UO = 100 x [(4 x Average7)+(2 x Average14)+Average28]/(4+2+1)

    See:

      - https://en.wikipedia.org/wiki/Ultimate_oscillator
      - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ultimate_oscillator
    '''
    lines = ('uo',)

    params = (
        ('p1', 7),
        ('p2', 14),
        ('p3', 28),
        ('upperband', 70.0),
        ('lowerband', 30.0),
    )

    def _plotinit(self):
        baseticks = [10.0, 50.0, 90.0]
        hlines = [self.p.upperband, self.p.lowerband]

        # Plot lines at 0 & 100 to make the scale complete + upper/lower/bands
        self.plotinfo.plotyhlines = hlines
        # Plot ticks at "baseticks" + the user specified upper/lower bands
        self.plotinfo.plotyticks = baseticks + hlines

    def __init__(self):
        bp = self.data.close - TrueLow(self.data)
        tr = TrueRange(self.data)

        av7 = SumN(bp, period=self.p.p1) / SumN(tr, period=self.p.p1)
        av14 = SumN(bp, period=self.p.p2) / SumN(tr, period=self.p.p2)
        av28 = SumN(bp, period=self.p.p3) / SumN(tr, period=self.p.p3)

        # Multiply/divide floats outside of formula to reduce line objects
        factor = 100.0 / (4.0 + 2.0 + 1.0)
        uo = (4.0 * factor) * av7 + (2.0 * factor) * av14 + factor * av28
        self.lines.uo = uo

        super(UltimateOscillator, self).__init__()


================================================
FILE: backtrader/indicators/vortex.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt


class Vortex(bt.Indicator):
    '''
    See:
      - http://www.vortexindicator.com/VFX_VORTEX.PDF

    '''
    lines = ('vi_plus', 'vi_minus',)

    params = (('period', 14),)

    plotlines = dict(vi_plus=dict(_name='+VI'), vi_minus=dict(_name='-VI'))

    def __init__(self):
        h0l1 = abs(self.data.high(0) - self.data.low(-1))
        vm_plus = bt.ind.SumN(h0l1, period=self.p.period)

        l0h1 = abs(self.data.low(0) - self.data.high(-1))
        vm_minus = bt.ind.SumN(l0h1, period=self.p.period)

        h0c1 = abs(self.data.high(0) - self.data.close(-1))
        l0c1 = abs(self.data.low(0) - self.data.close(-1))
        h0l0 = abs(self.data.high(0) - self.data.low(0))

        tr = bt.ind.SumN(bt.Max(h0l0, h0c1, l0c1), period=self.p.period)

        self.l.vi_plus = vm_plus / tr
        self.l.vi_minus = vm_minus / tr


================================================
FILE: backtrader/indicators/williams.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from . import (Indicator, Highest, Lowest, If, UpDay, DownDay, Accum, TrueLow,
               TrueHigh)


class WilliamsR(Indicator):
    '''
    Developed by Larry Williams to show the relation of closing prices to
    the highest-lowest range of a given period.

    Known as Williams %R (but % is not allowed in Python identifiers)

    Formula:
      - num = highest_period - close
      - den = highestg_period - lowest_period
      - percR = (num / den) * -100.0

    See:
      - http://en.wikipedia.org/wiki/Williams_%25R
    '''
    lines = ('percR',)
    params = (('period', 14),
              ('upperband', -20.0),
              ('lowerband', -80.0),)

    plotinfo = dict(plotname='Williams R%')
    plotlines = dict(percR=dict(_name='R%'))

    def _plotinif(self):
        self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]

    def __init__(self):
        h = Highest(self.data.high, period=self.p.period)
        l = Lowest(self.data.low, period=self.p.period)
        c = self.data.close

        self.lines.percR = -100.0 * (h - c) / (h - l)

        super(WilliamsR, self).__init__()


class WilliamsAD(Indicator):
    '''
    By Larry Williams. It does cumulatively measure if the price is
    accumulating (upwards) or distributing (downwards) by using the concept of
    UpDays and DownDays.

    Prices can go upwards but do so in a fashion that no longer shows
    accumulation because updays and downdays are canceling out each other,
    creating a divergence.

    See:
    - http://www.metastock.com/Customer/Resources/TAAZ/?p=125
    - http://ta.mql4.com/indicators/trends/williams_accumulation_distribution
    '''
    lines = ('ad',)

    def __init__(self):
        upday = UpDay(self.data.close)
        downday = DownDay(self.data.close)

        adup = If(upday, self.data.close - TrueLow(self.data), 0.0)
        addown = If(downday, self.data.close - TrueHigh(self.data), 0.0)

        self.lines.ad = Accum(adup + addown)

        super(WilliamsAD, self).__init__()


================================================
FILE: backtrader/indicators/wma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from ..utils.py3 import range

from . import MovingAverageBase, AverageWeighted


class WeightedMovingAverage(MovingAverageBase):
    '''
    A Moving Average which gives an arithmetic weighting to values with the
    newest having the more weight

    Formula:
      - weights = range(1, period + 1)
      - coef = 2 / (period * (period + 1))
      - movav = coef * Sum(weight[i] * data[period - i] for i in range(period))

    See also:
      - http://en.wikipedia.org/wiki/Moving_average#Weighted_moving_average
    '''
    alias = ('WMA', 'MovingAverageWeighted',)
    lines = ('wma',)

    def __init__(self):
        coef = 2.0 / (self.p.period * (self.p.period + 1.0))
        weights = tuple(float(x) for x in range(1, self.p.period + 1))

        # Before super to ensure mixins (right-hand side in subclassing)
        # can see the assignment operation and operate on the line
        self.lines[0] = AverageWeighted(
            self.data, period=self.p.period,
            coef=coef, weights=weights)

        super(WeightedMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/zlema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from . import Indicator, MovingAverageBase, MovAv


class ZeroLagExponentialMovingAverage(MovingAverageBase):
    '''
    The zero-lag exponential moving average (ZLEMA) is a variation of the EMA
    which adds a momentum term aiming to reduce lag in the average so as to
    track current prices more closely.

    Formula:
      - lag = (period - 1) / 2
      - zlema = ema(2 * data - data(-lag))

    See also:
      - http://user42.tuxfamily.org/chart/manual/Zero_002dLag-Exponential-Moving-Average.html

    '''
    alias = ('ZLEMA', 'ZeroLagEma',)
    lines = ('zlema',)
    params = (('_movav', MovAv.EMA),)

    def __init__(self):
        lag = (self.p.period - 1) // 2
        data = 2 * self.data - self.data(-lag)
        self.lines.zlema = self.p._movav(data, period=self.p.period)

        super(ZeroLagExponentialMovingAverage, self).__init__()


================================================
FILE: backtrader/indicators/zlind.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from backtrader.utils.py3 import MAXINT


from . import MovingAverageBase, MovAv


class ZeroLagIndicator(MovingAverageBase):
    '''By John Ehlers and Ric Way

    The zero-lag indicator (ZLIndicator) is a variation of the EMA
    which modifies the EMA by trying to minimize the error (distance price -
    error correction) and thus reduce the lag

    Formula:
      - EMA(data, period)

      - For each iteration calculate a best-error-correction of the ema (see
        the paper and/or the code) iterating over ``-bestgain`` ->
        ``+bestgain`` for the error correction factor (both incl.)

      - The default moving average is EMA, but can be changed with the
        parameter ``_movav``

        .. note:: the passed moving average must calculate alpha (and 1 -
                  alpha) and make them available as attributes ``alpha`` and
                  ``alpha1`` in the instance

    See also:
      - http://www.mesasoftware.com/papers/ZeroLag.pdf

    '''
    alias = ('ZLIndicator', 'ZLInd', 'EC', 'ErrorCorrecting',)
    lines = ('ec',)
    params = (
        ('gainlimit', 50),
        ('_movav', MovAv.EMA),
    )

    def _plotlabel(self):
        plabels = [self.p.period, self.p.gainlimit]
        plabels += [self.p._movav] * self.p.notdefault('_movav')
        return plabels

    def __init__(self):
        self.ema = MovAv.EMA(period=self.p.period)
        self.limits = [-self.p.gainlimit, self.p.gainlimit + 1]

        # To make mixins work - super at the end for cooperative inheritance
        super(ZeroLagIndicator, self).__init__()

    def next(self):
        leasterror = MAXINT  # 1000000 in original code
        bestec = ema = self.ema[0]  # seed value 1st time for ec
        price = self.data[0]
        ec1 = self.lines.ec[-1]
        alpha, alpha1 = self.ema.alpha, self.ema.alpha1

        for value1 in range(*self.limits):
            gain = value1 / 10
            ec = alpha * (ema + gain * (price - ec1)) + alpha1 * ec1
            error = abs(price - ec)
            if error < leasterror:
                leasterror = error
                bestec = ec

        self.lines.ec[0] = bestec


================================================
FILE: backtrader/linebuffer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
'''

.. module:: linebuffer

Classes that hold the buffer for a *line* and can operate on it
with appends, forwarding, rewinding, resetting and other

.. moduleauthor:: Daniel Rodriguez

'''
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import array
import collections
import datetime
from itertools import islice
import math

from .utils.py3 import range, with_metaclass, string_types

from .lineroot import LineRoot, LineSingle, LineMultiple
from . import metabase
from .utils import num2date, time2num


NAN = float('NaN')


class LineBuffer(LineSingle):
    '''
    LineBuffer defines an interface to an "array.array" (or list) in which
    index 0 points to the item which is active for input and output.

    Positive indices fetch values from the past (left hand side)
    Negative indices fetch values from the future (if the array has been
    extended on the right hand side)

    With this behavior no index has to be passed around to entities which have
    to work with the current value produced by other entities: the value is
    always reachable at "0".

    Likewise storing the current value produced by "self" is done at 0.

    Additional operations to move the pointer (home, forward, extend, rewind,
    advance getzero) are provided

    The class can also hold "bindings" to other LineBuffers. When a value
    is set in this class
    it will also be set in the binding.
    '''

    UnBounded, QBuffer = (0, 1)

    def __init__(self):
        self.lines = [self]
        self.mode = self.UnBounded
        self.bindings = list()
        self.reset()
        self._tz = None

    def get_idx(self):
        return self._idx

    def set_idx(self, idx, force=False):
        # if QBuffer and the last position of the buffer was reached, keep
        # it (unless force) as index 0. This allows resampling
        #  - forward adds a position, but the 1st one is discarded, the 0 is
        #  invariant
        # force supports replaying, which needs the extra bar to float
        # forward/backwards, because the last input is read, and after a
        # "backwards" is used to update the previous data. Unless the position
        # 0 was moved to the previous index, it would fail
        if self.mode == self.QBuffer:
            if force or self._idx < self.lenmark:
                self._idx = idx
        else:  # default: UnBounded
            self._idx = idx

    idx = property(get_idx, set_idx)

    def reset(self):
        ''' Resets the internal buffer structure and the indices
        '''
        if self.mode == self.QBuffer:
            # add extrasize to ensure resample/replay work because they will
            # use backwards to erase the last bar/tick before delivering a new
            # bar The previous forward would have discarded the bar "period"
            # times ago and it will not come back. Having + 1 in the size
            # allows the forward without removing that bar
            self.array = collections.deque(maxlen=self.maxlen + self.extrasize)
            self.useislice = True
        else:
            self.array = array.array(str('d'))
            self.useislice = False

        self.lencount = 0
        self.idx = -1
        self.extension = 0

    def qbuffer(self, savemem=0, extrasize=0):
        self.mode = self.QBuffer
        self.maxlen = self._minperiod
        self.extrasize = extrasize
        self.lenmark = self.maxlen - (not self.extrasize)
        self.reset()

    def getindicators(self):
        return []

    def minbuffer(self, size):
        '''The linebuffer must guarantee the minimum requested size to be
        available.

        In non-dqbuffer mode, this is always true (of course until data is
        filled at the beginning, there are less values, but minperiod in the
        framework should account for this.

        In dqbuffer mode the buffer has to be adjusted for this if currently
        less than requested
        '''
        if self.mode != self.QBuffer or self.maxlen >= size:
            return

        self.maxlen = size
        self.lenmark = self.maxlen - (not self.extrasize)
        self.reset()

    def __len__(self):
        return self.lencount

    def buflen(self):
        ''' Real data that can be currently held in the internal buffer

        The internal buffer can be longer than the actual stored data to
        allow for "lookahead" operations. The real amount of data that is
        held/can be held in the buffer
        is returned
        '''
        return len(self.array) - self.extension

    def __getitem__(self, ago):
        return self.array[self.idx + ago]

    def get(self, ago=0, size=1):
        ''' Returns a slice of the array relative to *ago*

        Keyword Args:
            ago (int): Point of the array to which size will be added
            to return the slice size(int): size of the slice to return,
            can be positive or negative

        If size is positive *ago* will mark the end of the iterable and vice
        versa if size is negative

        Returns:
            A slice of the underlying buffer
        '''
        if self.useislice:
            start = self.idx + ago - size + 1
            end = self.idx + ago + 1
            return list(islice(self.array, start, end))

        return self.array[self.idx + ago - size + 1:self.idx + ago + 1]

    def getzeroval(self, idx=0):
        ''' Returns a single value of the array relative to the real zero
        of the buffer

        Keyword Args:
            idx (int): Where to start relative to the real start of the buffer
            size(int): size of the slice to return

        Returns:
            A slice of the underlying buffer
        '''
        return self.array[idx]

    def getzero(self, idx=0, size=1):
        ''' Returns a slice of the array relative to the real zero of the buffer

        Keyword Args:
            idx (int): Where to start relative to the real start of the buffer
            size(int): size of the slice to return

        Returns:
            A slice of the underlying buffer
        '''
        if self.useislice:
            return list(islice(self.array, idx, idx + size))

        return self.array[idx:idx + size]

    def __setitem__(self, ago, value):
        ''' Sets a value at position "ago" and executes any associated bindings

        Keyword Args:
            ago (int): Point of the array to which size will be added to return
            the slice
            value (variable): value to be set
        '''
        self.array[self.idx + ago] = value
        for binding in self.bindings:
            binding[ago] = value

    def set(self, value, ago=0):
        ''' Sets a value at position "ago" and executes any associated bindings

        Keyword Args:
            value (variable): value to be set
            ago (int): Point of the array to which size will be added to return
            the slice
        '''
        self.array[self.idx + ago] = value
        for binding in self.bindings:
            binding[ago] = value

    def home(self):
        ''' Rewinds the logical index to the beginning

        The underlying buffer remains untouched and the actual len can be found
        out with buflen
        '''
        self.idx = -1
        self.lencount = 0

    def forward(self, value=NAN, size=1):
        ''' Moves the logical index foward and enlarges the buffer as much as needed

        Keyword Args:
            value (variable): value to be set in new positins
            size (int): How many extra positions to enlarge the buffer
        '''
        self.idx += size
        self.lencount += size

        for i in range(size):
            self.array.append(value)

    def backwards(self, size=1, force=False):
        ''' Moves the logical index backwards and reduces the buffer as much as needed

        Keyword Args:
            size (int): How many extra positions to rewind and reduce the
            buffer
        '''
        # Go directly to property setter to support force
        self.set_idx(self._idx - size, force=force)
        self.lencount -= size
        for i in range(size):
            self.array.pop()

    def rewind(self, size=1):
        self.idx -= size
        self.lencount -= size

    def advance(self, size=1):
        ''' Advances the logical index without touching the underlying buffer

        Keyword Args:
            size (int): How many extra positions to move forward
        '''
        self.idx += size
        self.lencount += size

    def extend(self, value=NAN, size=0):
        ''' Extends the underlying array with positions that the index will not reach

        Keyword Args:
            value (variable): value to be set in new positins
            size (int): How many extra positions to enlarge the buffer

        The purpose is to allow for lookahead operations or to be able to
        set values in the buffer "future"
        '''
        self.extension += size
        for i in range(size):
            self.array.append(value)

    def addbinding(self, binding):
        ''' Adds another line binding

        Keyword Args:
            binding (LineBuffer): another line that must be set when this line
            becomes a value
        '''
        self.bindings.append(binding)
        # record in the binding when the period is starting (never sooner
        # than self)
        binding.updateminperiod(self._minperiod)

    def plot(self, idx=0, size=None):
        ''' Returns a slice of the array relative to the real zero of the buffer

        Keyword Args:
            idx (int): Where to start relative to the real start of the buffer
            size(int): size of the slice to return

        This is a variant of getzero which unless told otherwise returns the
        entire buffer, which is usually the idea behind plottint (all must
        plotted)

        Returns:
            A slice of the underlying buffer
        '''
        return self.getzero(idx, size or len(self))

    def plotrange(self, start, end):
        if self.useislice:
            return list(islice(self.array, start, end))

        return self.array[start:end]

    def oncebinding(self):
        '''
        Executes the bindings when running in "once" mode
        '''
        larray = self.array
        blen = self.buflen()
        for binding in self.bindings:
            binding.array[0:blen] = larray[0:blen]

    def bind2lines(self, binding=0):
        '''
        Stores a binding to another line. "binding" can be an index or a name
        '''
        if isinstance(binding, string_types):
            line = getattr(self._owner.lines, binding)
        else:
            line = self._owner.lines[binding]

        self.addbinding(line)

        return self

    bind2line = bind2lines

    def __call__(self, ago=None):
        '''Returns either a delayed verison of itself in the form of a
        LineDelay object or a timeframe adapting version with regards to a ago

        Param: ago (default: None)

          If ago is None or an instance of LineRoot (a lines object) the
          returned valued is a LineCoupler instance

          If ago is anything else, it is assumed to be an int and a LineDelay
          object will be returned
        '''
        from .lineiterator import LineCoupler
        if ago is None or isinstance(ago, LineRoot):
            return LineCoupler(self, ago)

        return LineDelay(self, ago)

    def _makeoperation(self, other, operation, r=False, _ownerskip=None):
        return LinesOperation(self, other, operation, r=r,
                              _ownerskip=_ownerskip)

    def _makeoperationown(self, operation, _ownerskip=None):
        return LineOwnOperation(self, operation, _ownerskip=_ownerskip)

    def _settz(self, tz):
        self._tz = tz

    def datetime(self, ago=0, tz=None, naive=True):
        return num2date(self.array[self.idx + ago],
                        tz=tz or self._tz, naive=naive)

    def date(self, ago=0, tz=None, naive=True):
        return num2date(self.array[self.idx + ago],
                        tz=tz or self._tz, naive=naive).date()

    def time(self, ago=0, tz=None, naive=True):
        return num2date(self.array[self.idx + ago],
                        tz=tz or self._tz, naive=naive).time()

    def dt(self, ago=0):
        '''
        return numeric date part of datetimefloat
        '''
        return math.trunc(self.array[self.idx + ago])

    def tm_raw(self, ago=0):
        '''
        return raw numeric time part of datetimefloat
        '''
        # This function is named raw because it retrieves the fractional part
        # without transforming it to time to avoid the influence of the day
        # count (integer part of coding)
        return math.modf(self.array[self.idx + ago])[0]

    def tm(self, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To avoid precision errors, this returns the fractional part after
        # having converted it to a datetime.time object to avoid precision
        # errors in comparisons
        return time2num(num2date(self.array[self.idx + ago]).time())

    def tm_lt(self, other, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To compare a raw "tm" part (fractional part of coded datetime)
        # with the tm of the current datetime, the raw "tm" has to be
        # brought in sync with the current "day" count (integer part) to avoid
        dtime = self.array[self.idx + ago]
        tm, dt = math.modf(dtime)

        return dtime < (dt + other)

    def tm_le(self, other, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To compare a raw "tm" part (fractional part of coded datetime)
        # with the tm of the current datetime, the raw "tm" has to be
        # brought in sync with the current "day" count (integer part) to avoid
        dtime = self.array[self.idx + ago]
        tm, dt = math.modf(dtime)

        return dtime <= (dt + other)

    def tm_eq(self, other, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To compare a raw "tm" part (fractional part of coded datetime)
        # with the tm of the current datetime, the raw "tm" has to be
        # brought in sync with the current "day" count (integer part) to avoid
        dtime = self.array[self.idx + ago]
        tm, dt = math.modf(dtime)

        return dtime == (dt + other)

    def tm_gt(self, other, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To compare a raw "tm" part (fractional part of coded datetime)
        # with the tm of the current datetime, the raw "tm" has to be
        # brought in sync with the current "day" count (integer part) to avoid
        dtime = self.array[self.idx + ago]
        tm, dt = math.modf(dtime)

        return dtime > (dt + other)

    def tm_ge(self, other, ago=0):
        '''
        return numeric time part of datetimefloat
        '''
        # To compare a raw "tm" part (fractional part of coded datetime)
        # with the tm of the current datetime, the raw "tm" has to be
        # brought in sync with the current "day" count (integer part) to avoid
        dtime = self.array[self.idx + ago]
        tm, dt = math.modf(dtime)

        return dtime >= (dt + other)

    def tm2dtime(self, tm, ago=0):
        '''
        Returns the given ``tm`` in the frame of the (ago bars) datatime.

        Useful for external comparisons to avoid precision errors
        '''
        return int(self.array[self.idx + ago]) + tm

    def tm2datetime(self, tm, ago=0):
        '''
        Returns the given ``tm`` in the frame of the (ago bars) datatime.

        Useful for external comparisons to avoid precision errors
        '''
        return num2date(int(self.array[self.idx + ago]) + tm)


class MetaLineActions(LineBuffer.__class__):
    '''
    Metaclass for Lineactions

    Scans the instance before init for LineBuffer (or parentclass LineSingle)
    instances to calculate the minperiod for this instance

    postinit it registers the instance to the owner (remember that owner has
    been found in the base Metaclass for LineRoot)
    '''
    _acache = dict()
    _acacheuse = False

    @classmethod
    def cleancache(cls):
        cls._acache = dict()

    @classmethod
    def usecache(cls, onoff):
        cls._acacheuse = onoff

    def __call__(cls, *args, **kwargs):
        if not cls._acacheuse:
            return super(MetaLineActions, cls).__call__(*args, **kwargs)

        # implement a cache to avoid duplicating lines actions
        ckey = (cls, tuple(args), tuple(kwargs.items()))  # tuples hashable
        try:
            return cls._acache[ckey]
        except TypeError:  # something not hashable
            return super(MetaLineActions, cls).__call__(*args, **kwargs)
        except KeyError:
            pass  # hashable but not in the cache

        _obj = super(MetaLineActions, cls).__call__(*args, **kwargs)
        return cls._acache.setdefault(ckey, _obj)

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaLineActions, cls).dopreinit(_obj, *args, **kwargs)

        _obj._clock = _obj._owner  # default setting

        if isinstance(args[0], LineRoot):
            _obj._clock = args[0]

        # Keep a reference to the datas for buffer adjustment purposes
        _obj._datas = [x for x in args if isinstance(x, LineRoot)]

        # Do not produce anything until the operation lines produce something
        _minperiods = [x._minperiod for x in args if isinstance(x, LineSingle)]

        mlines = [x.lines[0] for x in args if isinstance(x, LineMultiple)]
        _minperiods += [x._minperiod for x in mlines]

        _minperiod = max(_minperiods or [1])

        # update own minperiod if needed
        _obj.updateminperiod(_minperiod)

        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaLineActions, cls).dopostinit(_obj, *args, **kwargs)

        # register with _owner to be kicked later
        _obj._owner.addindicator(_obj)

        return _obj, args, kwargs


class PseudoArray(object):
    def __init__(self, wrapped):
        self.wrapped = wrapped

    def __getitem__(self, key):
        return self.wrapped

    @property
    def array(self):
        return self


class LineActions(with_metaclass(MetaLineActions, LineBuffer)):
    '''
    Base class derived from LineBuffer intented to defined the
    minimum interface to make it compatible with a LineIterator by
    providing operational _next and _once interfaces.

    The metaclass does the dirty job of calculating minperiods and registering
    '''

    _ltype = LineBuffer.IndType

    def getindicators(self):
        return []

    def qbuffer(self, savemem=0):
        super(LineActions, self).qbuffer(savemem=savemem)
        for data in self._datas:
            data.minbuffer(size=self._minperiod)

    @staticmethod
    def arrayize(obj):
        if isinstance(obj, LineRoot):
            if not isinstance(obj, LineSingle):
                obj = obj.lines[0]  # get 1st line from multiline
        else:
            obj = PseudoArray(obj)

        return obj

    def _next(self):
        clock_len = len(self._clock)
        if clock_len > len(self):
            self.forward()

        if clock_len > self._minperiod:
            self.next()
        elif clock_len == self._minperiod:
            # only called for the 1st value
            self.nextstart()
        else:
            self.prenext()

    def _once(self):
        self.forward(size=self._clock.buflen())
        self.home()

        self.preonce(0, self._minperiod - 1)
        self.oncestart(self._minperiod - 1, self._minperiod)
        self.once(self._minperiod, self.buflen())

        self.oncebinding()


def LineDelay(a, ago=0, **kwargs):
    if ago <= 0:
        return _LineDelay(a, ago, **kwargs)

    return _LineForward(a, ago, **kwargs)


def LineNum(num):
    return LineDelay(PseudoArray(num))


class _LineDelay(LineActions):
    '''
    Takes a LineBuffer (or derived) object and stores the value from
    "ago" periods effectively delaying the delivery of data
    '''
    def __init__(self, a, ago):
        super(_LineDelay, self).__init__()
        self.a = a
        self.ago = ago

        # Need to add the delay to the period. "ago" is 0 based and therefore
        # we need to pass and extra 1 which is the minimum defined period for
        # any data (which will be substracted inside addminperiod)
        self.addminperiod(abs(ago) + 1)

    def next(self):
        self[0] = self.a[self.ago]

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        src = self.a.array
        ago = self.ago

        for i in range(start, end):
            dst[i] = src[i + ago]


class _LineForward(LineActions):
    '''
    Takes a LineBuffer (or derived) object and stores the value from
    "ago" periods from the future
    '''
    def __init__(self, a, ago):
        super(_LineForward, self).__init__()
        self.a = a
        self.ago = ago

        # Need to add the delay to the period. "ago" is 0 based and therefore
        # we need to pass and extra 1 which is the minimum defined period for
        # any data (which will be substracted inside addminperiod)
        # self.addminperiod(abs(ago) + 1)
        if ago > self.a._minperiod:
            self.addminperiod(ago - self.a._minperiod + 1)

    def next(self):
        self[-self.ago] = self.a[0]

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        src = self.a.array
        ago = self.ago

        for i in range(start, end):
            dst[i - ago] = src[i]


class LinesOperation(LineActions):

    '''
    Holds an operation that operates on a two operands. Example: mul

    It will "next"/traverse the array applying the operation on the
    two operands and storing the result in self.

    To optimize the operations and avoid conditional checks the right
    next/once is chosen using the operation direction (normal or reversed)
    and the nature of the operands (LineBuffer vs non-LineBuffer)

    In the "once" operations "map" could be used as in:

        operated = map(self.operation, srca[start:end], srcb[start:end])
        self.array[start:end] = array.array(str(self.typecode), operated)

    No real execution time benefits were appreciated and therefore the loops
    have been kept in place for clarity (although the maps are not really
    unclear here)
    '''

    def __init__(self, a, b, operation, r=False):
        super(LinesOperation, self).__init__()

        self.operation = operation
        self.a = a  # always a linebuffer
        self.b = b

        self.r = r
        self.bline = isinstance(b, LineBuffer)
        self.btime = isinstance(b, datetime.time)
        self.bfloat = not self.bline and not self.btime

        if r:
            self.a, self.b = b, a

    def next(self):
        if self.bline:
            self[0] = self.operation(self.a[0], self.b[0])
        elif not self.r:
            if not self.btime:
                self[0] = self.operation(self.a[0], self.b)
            else:
                self[0] = self.operation(self.a.time(), self.b)
        else:
            self[0] = self.operation(self.a, self.b[0])

    def once(self, start, end):
        if self.bline:
            self._once_op(start, end)
        elif not self.r:
            if not self.btime:
                self._once_val_op(start, end)
            else:
                self._once_time_op(start, end)
        else:
            self._once_val_op_r(start, end)

    def _once_op(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b.array
        op = self.operation

        for i in range(start, end):
            dst[i] = op(srca[i], srcb[i])

    def _once_time_op(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b
        op = self.operation
        tz = self._tz

        for i in range(start, end):
            dst[i] = op(num2date(srca[i], tz=tz).time(), srcb)

    def _once_val_op(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        srcb = self.b
        op = self.operation

        for i in range(start, end):
            dst[i] = op(srca[i], srcb)

    def _once_val_op_r(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a
        srcb = self.b.array
        op = self.operation

        for i in range(start, end):
            dst[i] = op(srca, srcb[i])


class LineOwnOperation(LineActions):
    '''
    Holds an operation that operates on a single operand. Example: abs

    It will "next"/traverse the array applying the operation and storing
    the result in self
    '''
    def __init__(self, a, operation):
        super(LineOwnOperation, self).__init__()

        self.operation = operation
        self.a = a

    def next(self):
        self[0] = self.operation(self.a[0])

    def once(self, start, end):
        # cache python dictionary lookups
        dst = self.array
        srca = self.a.array
        op = self.operation

        for i in range(start, end):
            dst[i] = op(srca[i])


================================================
FILE: backtrader/lineiterator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import operator
import sys

from .utils.py3 import map, range, zip, with_metaclass, string_types
from .utils import DotDict

from .lineroot import LineRoot, LineSingle
from .linebuffer import LineActions, LineNum
from .lineseries import LineSeries, LineSeriesMaker
from .dataseries import DataSeries
from . import metabase


class MetaLineIterator(LineSeries.__class__):
    def donew(cls, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaLineIterator, cls).donew(*args, **kwargs)

        # Prepare to hold children that need to be calculated and
        # influence minperiod - Moved here to support LineNum below
        _obj._lineiterators = collections.defaultdict(list)

        # Scan args for datas ... if none are found,
        # use the _owner (to have a clock)
        mindatas = _obj._mindatas
        lastarg = 0
        _obj.datas = []
        for arg in args:
            if isinstance(arg, LineRoot):
                _obj.datas.append(LineSeriesMaker(arg))

            elif not mindatas:
                break  # found not data and must not be collected
            else:
                try:
                    _obj.datas.append(LineSeriesMaker(LineNum(arg)))
                except:
                    # Not a LineNum and is not a LineSeries - bail out
                    break

            mindatas = max(0, mindatas - 1)
            lastarg += 1

        newargs = args[lastarg:]

        # If no datas have been passed to an indicator ... use the
        # main datas of the owner, easing up adding "self.data" ...
        if not _obj.datas and isinstance(_obj, (IndicatorBase, ObserverBase)):
            _obj.datas = _obj._owner.datas[0:mindatas]

        # Create a dictionary to be able to check for presence
        # lists in python use "==" operator when testing for presence with "in"
        # which doesn't really check for presence but for equality
        _obj.ddatas = {x: None for x in _obj.datas}

        # For each found data add access member -
        # for the first data 2 (data and data0)
        if _obj.datas:
            _obj.data = data = _obj.datas[0]

            for l, line in enumerate(data.lines):
                linealias = data._getlinealias(l)
                if linealias:
                    setattr(_obj, 'data_%s' % linealias, line)
                setattr(_obj, 'data_%d' % l, line)

            for d, data in enumerate(_obj.datas):
                setattr(_obj, 'data%d' % d, data)

                for l, line in enumerate(data.lines):
                    linealias = data._getlinealias(l)
                    if linealias:
                        setattr(_obj, 'data%d_%s' % (d, linealias), line)
                    setattr(_obj, 'data%d_%d' % (d, l), line)

        # Parameter values have now been set before __init__
        _obj.dnames = DotDict([(d._name, d)
                               for d in _obj.datas if getattr(d, '_name', '')])

        return _obj, newargs, kwargs

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaLineIterator, cls).dopreinit(_obj, *args, **kwargs)

        # if no datas were found use, use the _owner (to have a clock)
        _obj.datas = _obj.datas or [_obj._owner]

        # 1st data source is our ticking clock
        _obj._clock = _obj.datas[0]

        # To automatically set the period Start by scanning the found datas
        # No calculation can take place until all datas have yielded "data"
        # A data could be an indicator and it could take x bars until
        # something is produced
        _obj._minperiod = \
            max([x._minperiod for x in _obj.datas] or [_obj._minperiod])

        # The lines carry at least the same minperiod as
        # that provided by the datas
        for line in _obj.lines:
            line.addminperiod(_obj._minperiod)

        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaLineIterator, cls).dopostinit(_obj, *args, **kwargs)

        # my minperiod is as large as the minperiod of my lines
        _obj._minperiod = max([x._minperiod for x in _obj.lines])

        # Recalc the period
        _obj._periodrecalc()

        # Register (my)self as indicator to owner once
        # _minperiod has been calculated
        if _obj._owner is not None:
            _obj._owner.addindicator(_obj)

        return _obj, args, kwargs


class LineIterator(with_metaclass(MetaLineIterator, LineSeries)):
    _nextforce = False  # force cerebro to run in next mode (runonce=False)

    _mindatas = 1
    _ltype = LineSeries.IndType

    plotinfo = dict(plot=True,
                    subplot=True,
                    plotname='',
                    plotskip=False,
                    plotabove=False,
                    plotlinelabels=False,
                    plotlinevalues=True,
                    plotvaluetags=True,
                    plotymargin=0.0,
                    plotyhlines=[],
                    plotyticks=[],
                    plothlines=[],
                    plotforce=False,
                    plotmaster=None,)

    def _periodrecalc(self):
        # last check in case not all lineiterators were assigned to
        # lines (directly or indirectly after some operations)
        # An example is Kaufman's Adaptive Moving Average
        indicators = self._lineiterators[LineIterator.IndType]
        indperiods = [ind._minperiod for ind in indicators]
        indminperiod = max(indperiods or [self._minperiod])
        self.updateminperiod(indminperiod)

    def _stage2(self):
        super(LineIterator, self)._stage2()

        for data in self.datas:
            data._stage2()

        for lineiterators in self._lineiterators.values():
            for lineiterator in lineiterators:
                lineiterator._stage2()

    def _stage1(self):
        super(LineIterator, self)._stage1()

        for data in self.datas:
            data._stage1()

        for lineiterators in self._lineiterators.values():
            for lineiterator in lineiterators:
                lineiterator._stage1()

    def getindicators(self):
        return self._lineiterators[LineIterator.IndType]

    def getindicators_lines(self):
        return [x for x in self._lineiterators[LineIterator.IndType]
                if hasattr(x.lines, 'getlinealiases')]

    def getobservers(self):
        return self._lineiterators[LineIterator.ObsType]

    def addindicator(self, indicator):
        # store in right queue
        self._lineiterators[indicator._ltype].append(indicator)

        # use getattr because line buffers don't have this attribute
        if getattr(indicator, '_nextforce', False):
            # the indicator needs runonce=False
            o = self
            while o is not None:
                if o._ltype == LineIterator.StratType:
                    o.cerebro._disable_runonce()
                    break

                o = o._owner  # move up the hierarchy

    def bindlines(self, owner=None, own=None):
        if not owner:
            owner = 0

        if isinstance(owner, string_types):
            owner = [owner]
        elif not isinstance(owner, collections.Iterable):
            owner = [owner]

        if not own:
            own = range(len(owner))

        if isinstance(own, string_types):
            own = [own]
        elif not isinstance(own, collections.Iterable):
            own = [own]

        for lineowner, lineown in zip(owner, own):
            if isinstance(lineowner, string_types):
                lownerref = getattr(self._owner.lines, lineowner)
            else:
                lownerref = self._owner.lines[lineowner]

            if isinstance(lineown, string_types):
                lownref = getattr(self.lines, lineown)
            else:
                lownref = self.lines[lineown]

            lownref.addbinding(lownerref)

        return self

    # Alias which may be more readable
    bind2lines = bindlines
    bind2line = bind2lines

    def _next(self):
        clock_len = self._clk_update()

        for indicator in self._lineiterators[LineIterator.IndType]:
            indicator._next()

        self._notify()

        if self._ltype == LineIterator.StratType:
            # supporting datas with different lengths
            minperstatus = self._getminperstatus()
            if minperstatus < 0:
                self.next()
            elif minperstatus == 0:
                self.nextstart()  # only called for the 1st value
            else:
                self.prenext()
        else:
            # assume indicators and others operate on same length datas
            # although the above operation can be generalized
            if clock_len > self._minperiod:
                self.next()
            elif clock_len == self._minperiod:
                self.nextstart()  # only called for the 1st value
            elif clock_len:
                self.prenext()

    def _clk_update(self):
        clock_len = len(self._clock)
        if clock_len != len(self):
            self.forward()

        return clock_len

    def _once(self):
        self.forward(size=self._clock.buflen())

        for indicator in self._lineiterators[LineIterator.IndType]:
            indicator._once()

        for observer in self._lineiterators[LineIterator.ObsType]:
            observer.forward(size=self.buflen())

        for data in self.datas:
            data.home()

        for indicator in self._lineiterators[LineIterator.IndType]:
            indicator.home()

        for observer in self._lineiterators[LineIterator.ObsType]:
            observer.home()

        self.home()

        # These 3 remain empty for a strategy and therefore play no role
        # because a strategy will always be executed on a next basis
        # indicators are each called with its min period
        self.preonce(0, self._minperiod - 1)
        self.oncestart(self._minperiod - 1, self._minperiod)
        self.once(self._minperiod, self.buflen())

        for line in self.lines:
            line.oncebinding()

    def preonce(self, start, end):
        pass

    def oncestart(self, start, end):
        self.once(start, end)

    def once(self, start, end):
        pass

    def prenext(self):
        '''
        This method will be called before the minimum period of all
        datas/indicators have been meet for the strategy to start executing
        '''
        pass

    def nextstart(self):
        '''
        This method will be called once, exactly when the minimum period for
        all datas/indicators have been meet. The default behavior is to call
        next
        '''

        # Called once for 1st full calculation - defaults to regular next
        self.next()

    def next(self):
        '''
        This method will be called for all remaining data points when the
        minimum period for all datas/indicators have been meet.
        '''
        pass

    def _addnotification(self, *args, **kwargs):
        pass

    def _notify(self):
        pass

    def _plotinit(self):
        pass

    def qbuffer(self, savemem=0):
        if savemem:
            for line in self.lines:
                line.qbuffer()

        # If called, anything under it, must save
        for obj in self._lineiterators[self.IndType]:
            obj.qbuffer(savemem=1)

        # Tell datas to adjust buffer to minimum period
        for data in self.datas:
            data.minbuffer(self._minperiod)


# This 3 subclasses can be used for identification purposes within LineIterator
# or even outside (like in LineObservers)
# for the 3 subbranches without generating circular import references

class DataAccessor(LineIterator):
    PriceClose = DataSeries.Close
    PriceLow = DataSeries.Low
    PriceHigh = DataSeries.High
    PriceOpen = DataSeries.Open
    PriceVolume = DataSeries.Volume
    PriceOpenInteres = DataSeries.OpenInterest
    PriceDateTime = DataSeries.DateTime


class IndicatorBase(DataAccessor):
    pass


class ObserverBase(DataAccessor):
    pass


class StrategyBase(DataAccessor):
    pass


# Utility class to couple lines/lineiterators which may have different lengths
# Will only work when runonce=False is passed to Cerebro

class SingleCoupler(LineActions):
    def __init__(self, cdata, clock=None):
        super(SingleCoupler, self).__init__()
        self._clock = clock if clock is not None else self._owner

        self.cdata = cdata
        self.dlen = 0
        self.val = float('NaN')

    def next(self):
        if len(self.cdata) > self.dlen:
            self.val = self.cdata[0]
            self.dlen += 1

        self[0] = self.val


class MultiCoupler(LineIterator):
    _ltype = LineIterator.IndType

    def __init__(self):
        super(MultiCoupler, self).__init__()
        self.dlen = 0
        self.dsize = self.fullsize()  # shorcut for number of lines
        self.dvals = [float('NaN')] * self.dsize

    def next(self):
        if len(self.data) > self.dlen:
            self.dlen += 1

            for i in range(self.dsize):
                self.dvals[i] = self.data.lines[i][0]

        for i in range(self.dsize):
            self.lines[i][0] = self.dvals[i]


def LinesCoupler(cdata, clock=None, **kwargs):
    if isinstance(cdata, LineSingle):
        return SingleCoupler(cdata, clock)  # return for single line

    cdatacls = cdata.__class__  # copy important structures before creation
    try:
        LinesCoupler.counter += 1  # counter for unique class name
    except AttributeError:
        LinesCoupler.counter = 0

    # Prepare a MultiCoupler subclass
    nclsname = str('LinesCoupler_%d' % LinesCoupler.counter)
    ncls = type(nclsname, (MultiCoupler,), {})
    thismod = sys.modules[LinesCoupler.__module__]
    setattr(thismod, ncls.__name__, ncls)
    # Replace lines et al., to get a sensible clone
    ncls.lines = cdatacls.lines
    ncls.params = cdatacls.params
    ncls.plotinfo = cdatacls.plotinfo
    ncls.plotlines = cdatacls.plotlines

    obj = ncls(cdata, **kwargs)  # instantiate
    # The clock is set here to avoid it being interpreted as a data by the
    # LineIterator background scanning code
    if clock is None:
        clock = getattr(cdata, '_clock', None)
        if clock is not None:
            nclock = getattr(clock, '_clock', None)
            if nclock is not None:
                clock = nclock
            else:
                nclock = getattr(clock, 'data', None)
                if nclock is not None:
                    clock = nclock

        if clock is None:
            clock = obj._owner

    obj._clock = clock
    return obj


# Add an alias (which seems a lot more sensible for "Single Line" lines
LineCoupler = LinesCoupler


================================================
FILE: backtrader/lineroot.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
'''

.. module:: lineroot

Definition of the base class LineRoot and base classes LineSingle/LineMultiple
to define interfaces and hierarchy for the real operational classes

.. moduleauthor:: Daniel Rodriguez

'''
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import operator

from .utils.py3 import range, with_metaclass

from . import metabase


class MetaLineRoot(metabase.MetaParams):
    '''
    Once the object is created (effectively pre-init) the "owner" of this
    class is sought
    '''

    def donew(cls, *args, **kwargs):
        _obj, args, kwargs = super(MetaLineRoot, cls).donew(*args, **kwargs)

        # Find the owner and store it
        # startlevel = 4 ... to skip intermediate call stacks
        ownerskip = kwargs.pop('_ownerskip', None)
        _obj._owner = metabase.findowner(_obj,
                                         _obj._OwnerCls or LineMultiple,
                                         skip=ownerskip)

        # Parameter values have now been set before __init__
        return _obj, args, kwargs


class LineRoot(with_metaclass(MetaLineRoot, object)):
    '''
    Defines a common base and interfaces for Single and Multiple
    LineXXX instances

        Period management
        Iteration management
        Operation (dual/single operand) Management
        Rich Comparison operator definition
    '''
    _OwnerCls = None
    _minperiod = 1
    _opstage = 1

    IndType, StratType, ObsType = range(3)

    def _stage1(self):
        self._opstage = 1

    def _stage2(self):
        self._opstage = 2

    def _operation(self, other, operation, r=False, intify=False):
        if self._opstage == 1:
            return self._operation_stage1(
                other, operation, r=r, intify=intify)

        return self._operation_stage2(other, operation, r=r)

    def _operationown(self, operation):
        if self._opstage == 1:
            return self._operationown_stage1(operation)

        return self._operationown_stage2(operation)

    def qbuffer(self, savemem=0):
        '''Change the lines to implement a minimum size qbuffer scheme'''
        raise NotImplementedError

    def minbuffer(self, size):
        '''Receive notification of how large the buffer must at least be'''
        raise NotImplementedError

    def setminperiod(self, minperiod):
        '''
        Direct minperiod manipulation. It could be used for example
        by a strategy
        to not wait for all indicators to produce a value
        '''
        self._minperiod = minperiod

    def updateminperiod(self, minperiod):
        '''
        Update the minperiod if needed. The minperiod will have been
        calculated elsewhere
        and has to take over if greater that self's
        '''
        self._minperiod = max(self._minperiod, minperiod)

    def addminperiod(self, minperiod):
        '''
        Add a minperiod to own ... to be defined by subclasses
        '''
        raise NotImplementedError

    def incminperiod(self, minperiod):
        '''
        Increment the minperiod with no considerations
        '''
        raise NotImplementedError

    def prenext(self):
        '''
        It will be called during the "minperiod" phase of an iteration.
        '''
        pass

    def nextstart(self):
        '''
        It will be called when the minperiod phase is over for the 1st
        post-minperiod value. Only called once and defaults to automatically
        calling next
        '''
        self.next()

    def next(self):
        '''
        Called to calculate values when the minperiod is over
        '''
        pass

    def preonce(self, start, end):
        '''
        It will be called during the "minperiod" phase of a "once" iteration
        '''
        pass

    def oncestart(self, start, end):
        '''
        It will be called when the minperiod phase is over for the 1st
        post-minperiod value

        Only called once and defaults to automatically calling once
        '''
        self.once(start, end)

    def once(self, start, end):
        '''
        Called to calculate values at "once" when the minperiod is over
        '''
        pass

    # Arithmetic operators
    def _makeoperation(self, other, operation, r=False, _ownerskip=None):
        raise NotImplementedError

    def _makeoperationown(self, operation, _ownerskip=None):
        raise NotImplementedError

    def _operationown_stage1(self, operation):
        '''
        Operation with single operand which is "self"
        '''
        return self._makeoperationown(operation, _ownerskip=self)

    def _roperation(self, other, operation, intify=False):
        '''
        Relies on self._operation to and passes "r" True to define a
        reverse operation
        '''
        return self._operation(other, operation, r=True, intify=intify)

    def _operation_stage1(self, other, operation, r=False, intify=False):
        '''
        Two operands' operation. Scanning of other happens to understand
        if other must be directly an operand or rather a subitem thereof
        '''
        if isinstance(other, LineMultiple):
            other = other.lines[0]

        return self._makeoperation(other, operation, r, self)

    def _operation_stage2(self, other, operation, r=False):
        '''
        Rich Comparison operators. Scans other and returns either an
        operation with other directly or a subitem from other
        '''
        if isinstance(other, LineRoot):
            other = other[0]

        # operation(float, other) ... expecting other to be a float
        if r:
            return operation(other, self[0])

        return operation(self[0], other)

    def _operationown_stage2(self, operation):
        return operation(self[0])

    def __add__(self, other):
        return self._operation(other, operator.__add__)

    def __radd__(self, other):
        return self._roperation(other, operator.__add__)

    def __sub__(self, other):
        return self._operation(other, operator.__sub__)

    def __rsub__(self, other):
        return self._roperation(other, operator.__sub__)

    def __mul__(self, other):
        return self._operation(other, operator.__mul__)

    def __rmul__(self, other):
        return self._roperation(other, operator.__mul__)

    def __div__(self, other):
        return self._operation(other, operator.__div__)

    def __rdiv__(self, other):
        return self._roperation(other, operator.__div__)

    def __floordiv__(self, other):
        return self._operation(other, operator.__floordiv__)

    def __rfloordiv__(self, other):
        return self._roperation(other, operator.__floordiv__)

    def __truediv__(self, other):
        return self._operation(other, operator.__truediv__)

    def __rtruediv__(self, other):
        return self._roperation(other, operator.__truediv__)

    def __pow__(self, other):
        return self._operation(other, operator.__pow__)

    def __rpow__(self, other):
        return self._roperation(other, operator.__pow__)

    def __abs__(self):
        return self._operationown(operator.__abs__)

    def __neg__(self):
        return self._operationown(operator.__neg__)

    def __lt__(self, other):
        return self._operation(other, operator.__lt__)

    def __gt__(self, other):
        return self._operation(other, operator.__gt__)

    def __le__(self, other):
        return self._operation(other, operator.__le__)

    def __ge__(self, other):
        return self._operation(other, operator.__ge__)

    def __eq__(self, other):
        return self._operation(other, operator.__eq__)

    def __ne__(self, other):
        return self._operation(other, operator.__ne__)

    def __nonzero__(self):
        return self._operationown(bool)

    __bool__ = __nonzero__

    # Python 3 forces explicit implementation of hash if
    # the class has redefined __eq__
    __hash__ = object.__hash__


class LineMultiple(LineRoot):
    '''
    Base class for LineXXX instances that hold more than one line
    '''
    def reset(self):
        self._stage1()
        self.lines.reset()

    def _stage1(self):
        super(LineMultiple, self)._stage1()
        for line in self.lines:
            line._stage1()

    def _stage2(self):
        super(LineMultiple, self)._stage2()
        for line in self.lines:
            line._stage2()

    def addminperiod(self, minperiod):
        '''
        The passed minperiod is fed to the lines
        '''
        # pass it down to the lines
        for line in self.lines:
            line.addminperiod(minperiod)

    def incminperiod(self, minperiod):
        '''
        The passed minperiod is fed to the lines
        '''
        # pass it down to the lines
        for line in self.lines:
            line.incminperiod(minperiod)

    def _makeoperation(self, other, operation, r=False, _ownerskip=None):
        return self.lines[0]._makeoperation(other, operation, r, _ownerskip)

    def _makeoperationown(self, operation, _ownerskip=None):
        return self.lines[0]._makeoperationown(operation, _ownerskip)

    def qbuffer(self, savemem=0):
        for line in self.lines:
            line.qbuffer(savemem=1)

    def minbuffer(self, size):
        for line in self.lines:
            line.minbuffer(size)


class LineSingle(LineRoot):
    '''
    Base class for LineXXX instances that hold a single line
    '''
    def addminperiod(self, minperiod):
        '''
        Add the minperiod (substracting the overlapping 1 minimum period)
        '''
        self._minperiod += minperiod - 1

    def incminperiod(self, minperiod):
        '''
        Increment the minperiod with no considerations
        '''
        self._minperiod += minperiod


================================================
FILE: backtrader/lineseries.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
'''

.. module:: lineroot

Defines LineSeries and Descriptors inside of it for classes that hold multiple
lines at once.

.. moduleauthor:: Daniel Rodriguez

'''
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys

from .utils.py3 import map, range, string_types, with_metaclass

from .linebuffer import LineBuffer, LineActions, LinesOperation, LineDelay, NAN
from .lineroot import LineRoot, LineSingle, LineMultiple
from .metabase import AutoInfoClass
from . import metabase


class LineAlias(object):
    ''' Descriptor class that store a line reference and returns that line
    from the owner

    Keyword Args:
        line (int): reference to the line that will be returned from
        owner's *lines* buffer

    As a convenience the __set__ method of the descriptor is used not set
    the *line* reference because this is a constant along the live of the
    descriptor instance, but rather to set the value of the *line* at the
    instant '0' (the current one)
    '''

    def __init__(self, line):
        self.line = line

    def __get__(self, obj, cls=None):
        return obj.lines[self.line]

    def __set__(self, obj, value):
        '''
        A line cannot be "set" once it has been created. But the values
        inside the line can be "set". This is achieved by adding a binding
        to the line inside "value"
        '''
        if isinstance(value, LineMultiple):
            value = value.lines[0]

        # If the now for sure, LineBuffer 'value' is not a LineActions the
        # binding below could kick-in too early in the chain writing the value
        # into a not yet "forwarded" line, effectively writing the value 1
        # index too early and breaking the functionality (all in next mode)
        # Hence the need to transform it into a LineDelay object of null delay
        if not isinstance(value, LineActions):
            value = value(0)

        value.addbinding(obj.lines[self.line])


class Lines(object):
    '''
    Defines an "array" of lines which also has most of the interface of
    a LineBuffer class (forward, rewind, advance...).

    This interface operations are passed to the lines held by self

    The class can autosubclass itself (_derive) to hold new lines keeping them
    in the defined order.
    '''
    _getlinesbase = classmethod(lambda cls: ())
    _getlines = classmethod(lambda cls: ())
    _getlinesextra = classmethod(lambda cls: 0)
    _getlinesextrabase = classmethod(lambda cls: 0)

    @classmethod
    def _derive(cls, name, lines, extralines, otherbases, linesoverride=False,
                lalias=None):
        '''
        Creates a subclass of this class with the lines of this class as
        initial input for the subclass. It will include num "extralines" and
        lines present in "otherbases"

        "name" will be used as the suffix of the final class name

        "linesoverride": if True the lines of all bases will be discarded and
        the baseclass will be the topmost class "Lines". This is intended to
        create a new hierarchy
        '''
        obaseslines = ()
        obasesextralines = 0

        for otherbase in otherbases:
            if isinstance(otherbase, tuple):
                obaseslines += otherbase
            else:
                obaseslines += otherbase._getlines()
                obasesextralines += otherbase._getlinesextra()

        if not linesoverride:
            baselines = cls._getlines() + obaseslines
            baseextralines = cls._getlinesextra() + obasesextralines
        else:  # overriding lines, skip anything from baseclasses
            baselines = ()
            baseextralines = 0

        clslines = baselines + lines
        clsextralines = baseextralines + extralines
        lines2add = obaseslines + lines

        # str for Python 2/3 compatibility
        basecls = cls if not linesoverride else Lines

        newcls = type(str(cls.__name__ + '_' + name), (basecls,), {})
        clsmodule = sys.modules[cls.__module__]
        newcls.__module__ = cls.__module__
        setattr(clsmodule, str(cls.__name__ + '_' + name), newcls)

        setattr(newcls, '_getlinesbase', classmethod(lambda cls: baselines))
        setattr(newcls, '_getlines', classmethod(lambda cls: clslines))

        setattr(newcls, '_getlinesextrabase',
                classmethod(lambda cls: baseextralines))
        setattr(newcls, '_getlinesextra',
                classmethod(lambda cls: clsextralines))

        l2start = len(cls._getlines()) if not linesoverride else 0
        l2add = enumerate(lines2add, start=l2start)
        l2alias = {} if lalias is None else lalias._getkwargsdefault()
        for line, linealias in l2add:
            if not isinstance(linealias, string_types):
                # a tuple or list was passed, 1st is name
                linealias = linealias[0]

            desc = LineAlias(line)  # keep a reference below
            setattr(newcls, linealias, desc)

        # Create extra aliases for the given name, checking if the names is in
        # l2alias (which is from the argument lalias and comes from the
        # directive 'linealias', hence the confusion here (the LineAlias come
        # from the directive 'lines')
        for line, linealias in enumerate(newcls._getlines()):
            if not isinstance(linealias, string_types):
                # a tuple or list was passed, 1st is name
                linealias = linealias[0]

            desc = LineAlias(line)  # keep a reference below
            if linealias in l2alias:
                extranames = l2alias[linealias]
                if isinstance(linealias, string_types):
                    extranames = [extranames]

                for ename in extranames:
                    setattr(newcls, ename, desc)

        return newcls

    @classmethod
    def _getlinealias(cls, i):
        '''
        Return the alias for a line given the index
        '''
        lines = cls._getlines()
        if i >= len(lines):
            return ''
        linealias = lines[i]
        return linealias

    @classmethod
    def getlinealiases(cls):
        return cls._getlines()

    def itersize(self):
        return iter(self.lines[0:self.size()])

    def __init__(self, initlines=None):
        '''
        Create the lines recording during "_derive" or else use the
        provided "initlines"
        '''
        self.lines = list()
        for line, linealias in enumerate(self._getlines()):
            kwargs = dict()
            self.lines.append(LineBuffer(**kwargs))

        # Add the required extralines
        for i in range(self._getlinesextra()):
            if not initlines:
                self.lines.append(LineBuffer())
            else:
                self.lines.append(initlines[i])

    def __len__(self):
        '''
        Proxy line operation
        '''
        return len(self.lines[0])

    def size(self):
        return len(self.lines) - self._getlinesextra()

    def fullsize(self):
        return len(self.lines)

    def extrasize(self):
        return self._getlinesextra()

    def __getitem__(self, line):
        '''
        Proxy line operation
        '''
        return self.lines[line]

    def get(self, ago=0, size=1, line=0):
        '''
        Proxy line operation
        '''
        return self.lines[line].get(ago, size=size)

    def __setitem__(self, line, value):
        '''
        Proxy line operation
        '''
        setattr(self, self._getlinealias(line), value)

    def forward(self, value=NAN, size=1):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.forward(value, size=size)

    def backwards(self, size=1, force=False):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.backwards(size, force=force)

    def rewind(self, size=1):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.rewind(size)

    def extend(self, value=NAN, size=0):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.extend(value, size)

    def reset(self):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.reset()

    def home(self):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.home()

    def advance(self, size=1):
        '''
        Proxy line operation
        '''
        for line in self.lines:
            line.advance(size)

    def buflen(self, line=0):
        '''
        Proxy line operation
        '''
        return self.lines[line].buflen()


class MetaLineSeries(LineMultiple.__class__):
    '''
    Dirty job manager for a LineSeries

      - During __new__ (class creation), it reads "lines", "plotinfo",
        "plotlines" class variable definitions and turns them into
        Classes of type Lines or AutoClassInfo (plotinfo/plotlines)

      - During "new" (instance creation) the lines/plotinfo/plotlines
        classes are substituted in the instance with instances of the
        aforementioned classes and aliases are added for the "lines" held
        in the "lines" instance

        Additionally and for remaining kwargs, these are matched against
        args in plotinfo and if existent are set there and removed from kwargs

        Remember that this Metaclass has a MetaParams (from metabase)
        as root class and therefore "params" defined for the class have been
        removed from kwargs at an earlier state
    '''

    def __new__(meta, name, bases, dct):
        '''
        Intercept class creation, identifiy lines/plotinfo/plotlines class
        attributes and create corresponding classes for them which take over
        the class attributes
        '''

        # Get the aliases - don't leave it there for subclasses
        aliases = dct.setdefault('alias', ())
        aliased = dct.setdefault('aliased', '')

        # Remove the line definition (if any) from the class creation
        linesoverride = dct.pop('linesoverride', False)
        newlines = dct.pop('lines', ())
        extralines = dct.pop('extralines', 0)

        # remove the new plotinfo/plotlines definition if any
        newlalias = dict(dct.pop('linealias', {}))

        # remove the new plotinfo/plotlines definition if any
        newplotinfo = dict(dct.pop('plotinfo', {}))
        newplotlines = dict(dct.pop('plotlines', {}))

        # Create the class - pulling in any existing "lines"
        cls = super(MetaLineSeries, meta).__new__(meta, name, bases, dct)

        # Check the line aliases before creating the lines
        lalias = getattr(cls, 'linealias', AutoInfoClass)
        oblalias = [x.linealias for x in bases[1:] if hasattr(x, 'linealias')]
        cls.linealias = la = lalias._derive('la_' + name, newlalias, oblalias)

        # Get the actual lines or a default
        lines = getattr(cls, 'lines', Lines)

        # Create a subclass of the lines class with our name and newlines
        # and put it in the class
        morebaseslines = [x.lines for x in bases[1:] if hasattr(x, 'lines')]
        cls.lines = lines._derive(name, newlines, extralines, morebaseslines,
                                  linesoverride, lalias=la)

        # Get a copy from base class plotinfo/plotlines (created with the
        # class or set a default)
        plotinfo = getattr(cls, 'plotinfo', AutoInfoClass)
        plotlines = getattr(cls, 'plotlines', AutoInfoClass)

        # Create a plotinfo/plotlines subclass and set it in the class
        morebasesplotinfo = \
            [x.plotinfo for x in bases[1:] if hasattr(x, 'plotinfo')]
        cls.plotinfo = plotinfo._derive('pi_' + name, newplotinfo,
                                        morebasesplotinfo)

        # Before doing plotline newlines have been added and no plotlineinfo
        # is there add a default
        for line in newlines:
            newplotlines.setdefault(line, dict())

        morebasesplotlines = \
            [x.plotlines for x in bases[1:] if hasattr(x, 'plotlines')]
        cls.plotlines = plotlines._derive(
            'pl_' + name, newplotlines, morebasesplotlines, recurse=True)

        # create declared class aliases (a subclass with no modifications)
        for alias in aliases:
            newdct = {'__doc__': cls.__doc__,
                      '__module__': cls.__module__,
                      'aliased': cls.__name__}

            if not isinstance(alias, string_types):
                # a tuple or list was passed, 1st is name, 2nd plotname
                aliasplotname = alias[1]
                alias = alias[0]
                newdct['plotinfo'] = dict(plotname=aliasplotname)

            newcls = type(str(alias), (cls,), newdct)
            clsmodule = sys.modules[cls.__module__]
            setattr(clsmodule, alias, newcls)

        # return the class
        return cls

    def donew(cls, *args, **kwargs):
        '''
        Intercept instance creation, take over lines/plotinfo/plotlines
        class attributes by creating corresponding instance variables and add
        aliases for "lines" and the "lines" held within it
        '''
        # _obj.plotinfo shadows the plotinfo (class) definition in the class
        plotinfo = cls.plotinfo()

        for pname, pdef in cls.plotinfo._getitems():
            setattr(plotinfo, pname, kwargs.pop(pname, pdef))

        # Create the object and set the params in place
        _obj, args, kwargs = super(MetaLineSeries, cls).donew(*args, **kwargs)

        # set the plotinfo member in the class
        _obj.plotinfo = plotinfo

        # _obj.lines shadows the lines (class) definition in the class
        _obj.lines = cls.lines()

        # _obj.plotinfo shadows the plotinfo (class) definition in the class
        _obj.plotlines = cls.plotlines()

        # add aliases for lines and for the lines class itself
        _obj.l = _obj.lines
        if _obj.lines.fullsize():
            _obj.line = _obj.lines[0]

        for l, line in enumerate(_obj.lines):
            setattr(_obj, 'line_%s' % l, _obj._getlinealias(l))
            setattr(_obj, 'line_%d' % l, line)
            setattr(_obj, 'line%d' % l, line)

        # Parameter values have now been set before __init__
        return _obj, args, kwargs


class LineSeries(with_metaclass(MetaLineSeries, LineMultiple)):
    plotinfo = dict(
        plot=True,
        plotmaster=None,
        legendloc=None,
    )

    csv = True

    @property
    def array(self):
        return self.lines[0].array

    def __getattr__(self, name):
        # to refer to line by name directly if the attribute was not found
        # in this object if we set an attribute in this object it will be
        # found before we end up here
        return getattr(self.lines, name)

    def __len__(self):
        return len(self.lines)

    def __getitem__(self, key):
        return self.lines[0][key]

    def __setitem__(self, key, value):
        setattr(self.lines, self.lines._getlinealias(key), value)

    def __init__(self, *args, **kwargs):
        # if any args, kwargs make it up to here, something is broken
        # defining a __init__ guarantees the existence of im_func to findbases
        # in lineiterator later, because object.__init__ has no im_func
        # (object has slots)
        super(LineSeries, self).__init__()
        pass

    def plotlabel(self):
        label = self.plotinfo.plotname or self.__class__.__name__
        sublabels = self._plotlabel()
        if sublabels:
            for i, sublabel in enumerate(sublabels):
                # if isinstance(sublabel, LineSeries): ## DOESN'T WORK ???
                if hasattr(sublabel, 'plotinfo'):
                    try:
                        s = sublabel.plotinfo.plotname
                    except:
                        s = ''

                    sublabels[i] = s or sublabel.__name__

            label += ' (%s)' % ', '.join(map(str, sublabels))
        return label

    def _plotlabel(self):
        return self.params._getvalues()

    def _getline(self, line, minusall=False):
        if isinstance(line, string_types):
            lineobj = getattr(self.lines, line)
        else:
            if line == -1:  # restore original api behavior - default -> 0
                if minusall:  # minus means ... all lines
                    return None
                line = 0
            lineobj = self.lines[line]

        return lineobj

    def __call__(self, ago=None, line=-1):
        '''Returns either a delayed verison of itself in the form of a
        LineDelay object or a timeframe adapting version with regards to a ago

        Param: ago (default: None)

          If ago is None or an instance of LineRoot (a lines object) the
          returned valued is a LineCoupler instance

          If ago is anything else, it is assumed to be an int and a LineDelay
          object will be returned

        Param: line (default: -1)
          If a LinesCoupler will be returned ``-1`` means to return a
          LinesCoupler which adapts all lines of the current LineMultiple
          object. Else the appropriate line (referenced by name or index) will
          be LineCoupled

          If a LineDelay object will be returned, ``-1`` is the same as ``0``
          (to retain compatibility with the previous default value of 0). This
          behavior will change to return all existing lines in a LineDelayed
          form

          The referenced line (index or name) will be LineDelayed
        '''
        from .lineiterator import LinesCoupler  # avoid circular import

        if ago is None or isinstance(ago, LineRoot):
            args = [self, ago]
            lineobj = self._getline(line, minusall=True)
            if lineobj is not None:
                args[0] = lineobj

            return LinesCoupler(*args, _ownerskip=self)

        # else -> assume type(ago) == int -> return LineDelay object
        return LineDelay(self._getline(line), ago, _ownerskip=self)

    # The operations below have to be overriden to make sure subclasses can
    # reach them using "super" which will not call __getattr__ and
    # LineSeriesStub (see below) already uses super
    def forward(self, value=NAN, size=1):
        self.lines.forward(value, size)

    def backwards(self, size=1, force=False):
        self.lines.backwards(size, force=force)

    def rewind(self, size=1):
        self.lines.rewind(size)

    def extend(self, value=NAN, size=0):
        self.lines.extend(value, size)

    def reset(self):
        self.lines.reset()

    def home(self):
        self.lines.home()

    def advance(self, size=1):
        self.lines.advance(size)


class LineSeriesStub(LineSeries):
    '''Simulates a LineMultiple object based on LineSeries from a single line

    The index management operations are overriden to take into account if the
    line is a slave, ie:

      - The line reference is a line from many in a LineMultiple object
      - Both the LineMultiple object and the Line are managed by the same
        object

    Were slave not to be taken into account, the individual line would for
    example be advanced twice:

      - Once under when the LineMultiple object is advanced (because it
        advances all lines it is holding
      - Again as part of the regular management of the object holding it
    '''

    extralines = 1

    def __init__(self, line, slave=False):
        self.lines = self.__class__.lines(initlines=[line])
        # give a change to find the line owner (for plotting at least)
        self.owner = self._owner = line._owner
        self._minperiod = line._minperiod
        self.slave = slave

    # Only execute the operations below if the object is not a slave
    def forward(self, value=NAN, size=1):
        if not self.slave:
            super(LineSeriesStub, self).forward(value, size)

    def backwards(self, size=1, force=False):
        if not self.slave:
            super(LineSeriesStub, self).backwards(size, force=force)

    def rewind(self, size=1):
        if not self.slave:
            super(LineSeriesStub, self).rewind(size)

    def extend(self, value=NAN, size=0):
        if not self.slave:
            super(LineSeriesStub, self).extend(value, size)

    def reset(self):
        if not self.slave:
            super(LineSeriesStub, self).reset()

    def home(self):
        if not self.slave:
            super(LineSeriesStub, self).home()

    def advance(self, size=1):
        if not self.slave:
            super(LineSeriesStub, self).advance(size)

    def qbuffer(self):
        if not self.slave:
            super(LineSeriesStub, self).qbuffer()

    def minbuffer(self, size):
        if not self.slave:
            super(LineSeriesStub, self).minbuffer(size)


def LineSeriesMaker(arg, slave=False):
    if isinstance(arg, LineSeries):
        return arg

    return LineSeriesStub(arg, slave=slave)


================================================
FILE: backtrader/mathsupport.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math


def average(x, bessel=False):
    '''
    Args:
      x: iterable with len

      oneless: (default ``False``) reduces the length of the array for the
                division.

    Returns:
      A float with the average of the elements of x
    '''
    return math.fsum(x) / (len(x) - bessel)


def variance(x, avgx=None):
    '''
    Args:
      x: iterable with len

    Returns:
      A list with the variance for each element of x
    '''
    if avgx is None:
        avgx = average(x)
    return [pow(y - avgx, 2.0) for y in x]


def standarddev(x, avgx=None, bessel=False):
    '''
    Args:
      x: iterable with len

      bessel: (default ``False``) to be passed to the average to divide by
      ``N - 1`` (Bessel's correction)

    Returns:
      A float with the standard deviation of the elements of x
    '''
    return math.sqrt(average(variance(x, avgx), bessel=bessel))


================================================
FILE: backtrader/metabase.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict
import itertools
import sys

import backtrader as bt
from .utils.py3 import zip, string_types, with_metaclass


def findbases(kls, topclass):
    retval = list()
    for base in kls.__bases__:
        if issubclass(base, topclass):
            retval.extend(findbases(base, topclass))
            retval.append(base)

    return retval


def findowner(owned, cls, startlevel=2, skip=None):
    # skip this frame and the caller's -> start at 2
    for framelevel in itertools.count(startlevel):
        try:
            frame = sys._getframe(framelevel)
        except ValueError:
            # Frame depth exceeded ... no owner ... break away
            break

        # 'self' in regular code
        self_ = frame.f_locals.get('self', None)
        if skip is not self_:
            if self_ is not owned and isinstance(self_, cls):
                return self_

        # '_obj' in metaclasses
        obj_ = frame.f_locals.get('_obj', None)
        if skip is not obj_:
            if obj_ is not owned and isinstance(obj_, cls):
                return obj_

    return None


class MetaBase(type):
    def doprenew(cls, *args, **kwargs):
        return cls, args, kwargs

    def donew(cls, *args, **kwargs):
        _obj = cls.__new__(cls, *args, **kwargs)
        return _obj, args, kwargs

    def dopreinit(cls, _obj, *args, **kwargs):
        return _obj, args, kwargs

    def doinit(cls, _obj, *args, **kwargs):
        _obj.__init__(*args, **kwargs)
        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        return _obj, args, kwargs

    def __call__(cls, *args, **kwargs):
        cls, args, kwargs = cls.doprenew(*args, **kwargs)
        _obj, args, kwargs = cls.donew(*args, **kwargs)
        _obj, args, kwargs = cls.dopreinit(_obj, *args, **kwargs)
        _obj, args, kwargs = cls.doinit(_obj, *args, **kwargs)
        _obj, args, kwargs = cls.dopostinit(_obj, *args, **kwargs)
        return _obj


class AutoInfoClass(object):
    _getpairsbase = classmethod(lambda cls: OrderedDict())
    _getpairs = classmethod(lambda cls: OrderedDict())
    _getrecurse = classmethod(lambda cls: False)

    @classmethod
    def _derive(cls, name, info, otherbases, recurse=False):
        # collect the 3 set of infos
        # info = OrderedDict(info)
        baseinfo = cls._getpairs().copy()
        obasesinfo = OrderedDict()
        for obase in otherbases:
            if isinstance(obase, (tuple, dict)):
                obasesinfo.update(obase)
            else:
                obasesinfo.update(obase._getpairs())

        # update the info of this class (base) with that from the other bases
        baseinfo.update(obasesinfo)

        # The info of the new class is a copy of the full base info
        # plus and update from parameter
        clsinfo = baseinfo.copy()
        clsinfo.update(info)

        # The new items to update/set are those from the otherbase plus the new
        info2add = obasesinfo.copy()
        info2add.update(info)

        clsmodule = sys.modules[cls.__module__]
        newclsname = str(cls.__name__ + '_' + name)  # str - Python 2/3 compat

        # This loop makes sure that if the name has already been defined, a new
        # unique name is found. A collision example is in the plotlines names
        # definitions of bt.indicators.MACD and bt.talib.MACD. Both end up
        # definining a MACD_pl_macd and this makes it impossible for the pickle
        # module to send results over a multiprocessing channel
        namecounter = 1
        while hasattr(clsmodule, newclsname):
            newclsname += str(namecounter)
            namecounter += 1

        newcls = type(newclsname, (cls,), {})
        setattr(clsmodule, newclsname, newcls)

        setattr(newcls, '_getpairsbase',
                classmethod(lambda cls: baseinfo.copy()))
        setattr(newcls, '_getpairs', classmethod(lambda cls: clsinfo.copy()))
        setattr(newcls, '_getrecurse', classmethod(lambda cls: recurse))

        for infoname, infoval in info2add.items():
            if recurse:
                recursecls = getattr(newcls, infoname, AutoInfoClass)
                infoval = recursecls._derive(name + '_' + infoname,
                                             infoval,
                                             [])

            setattr(newcls, infoname, infoval)

        return newcls

    def isdefault(self, pname):
        return self._get(pname) == self._getkwargsdefault()[pname]

    def notdefault(self, pname):
        return self._get(pname) != self._getkwargsdefault()[pname]

    def _get(self, name, default=None):
        return getattr(self, name, default)

    @classmethod
    def _getkwargsdefault(cls):
        return cls._getpairs()

    @classmethod
    def _getkeys(cls):
        return cls._getpairs().keys()

    @classmethod
    def _getdefaults(cls):
        return list(cls._getpairs().values())

    @classmethod
    def _getitems(cls):
        return cls._getpairs().items()

    @classmethod
    def _gettuple(cls):
        return tuple(cls._getpairs().items())

    def _getkwargs(self, skip_=False):
        l = [
            (x, getattr(self, x))
            for x in self._getkeys() if not skip_ or not x.startswith('_')]
        return OrderedDict(l)

    def _getvalues(self):
        return [getattr(self, x) for x in self._getkeys()]

    def __new__(cls, *args, **kwargs):
        obj = super(AutoInfoClass, cls).__new__(cls, *args, **kwargs)

        if cls._getrecurse():
            for infoname in obj._getkeys():
                recursecls = getattr(cls, infoname)
                setattr(obj, infoname, recursecls())

        return obj


class MetaParams(MetaBase):
    def __new__(meta, name, bases, dct):
        # Remove params from class definition to avoid inheritance
        # (and hence "repetition")
        newparams = dct.pop('params', ())

        packs = 'packages'
        newpackages = tuple(dct.pop(packs, ()))  # remove before creation

        fpacks = 'frompackages'
        fnewpackages = tuple(dct.pop(fpacks, ()))  # remove before creation

        # Create the new class - this pulls predefined "params"
        cls = super(MetaParams, meta).__new__(meta, name, bases, dct)

        # Pulls the param class out of it - default is the empty class
        params = getattr(cls, 'params', AutoInfoClass)

        # Pulls the packages class out of it - default is the empty class
        packages = tuple(getattr(cls, packs, ()))
        fpackages = tuple(getattr(cls, fpacks, ()))

        # get extra (to the right) base classes which have a param attribute
        morebasesparams = [x.params for x in bases[1:] if hasattr(x, 'params')]

        # Get extra packages, add them to the packages and put all in the class
        for y in [x.packages for x in bases[1:] if hasattr(x, packs)]:
            packages += tuple(y)

        for y in [x.frompackages for x in bases[1:] if hasattr(x, fpacks)]:
            fpackages += tuple(y)

        cls.packages = packages + newpackages
        cls.frompackages = fpackages + fnewpackages

        # Subclass and store the newly derived params class
        cls.params = params._derive(name, newparams, morebasesparams)

        return cls

    def donew(cls, *args, **kwargs):
        clsmod = sys.modules[cls.__module__]
        # import specified packages
        for p in cls.packages:
            if isinstance(p, (tuple, list)):
                p, palias = p
            else:
                palias = p

            pmod = __import__(p)

            plevels = p.split('.')
            if p == palias and len(plevels) > 1:  # 'os.path' not aliased
                setattr(clsmod, pmod.__name__, pmod)  # set 'os' in module

            else:  # aliased and/or dots
                for plevel in plevels[1:]:  # recurse down the mod
                    pmod = getattr(pmod, plevel)

                setattr(clsmod, palias, pmod)

        # import from specified packages - the 2nd part is a string or iterable
        for p, frompackage in cls.frompackages:
            if isinstance(frompackage, string_types):
                frompackage = (frompackage,)  # make it a tuple

            for fp in frompackage:
                if isinstance(fp, (tuple, list)):
                    fp, falias = fp
                else:
                    fp, falias = fp, fp  # assumed is string

                # complain "not string" without fp (unicode vs bytes)
                pmod = __import__(p, fromlist=[str(fp)])
                pattr = getattr(pmod, fp)
                setattr(clsmod, falias, pattr)
                for basecls in cls.__bases__:
                    setattr(sys.modules[basecls.__module__], falias, pattr)

        # Create params and set the values from the kwargs
        params = cls.params()
        for pname, pdef in cls.params._getitems():
            setattr(params, pname, kwargs.pop(pname, pdef))

        # Create the object and set the params in place
        _obj, args, kwargs = super(MetaParams, cls).donew(*args, **kwargs)
        _obj.params = params
        _obj.p = params  # shorter alias

        # Parameter values have now been set before __init__
        return _obj, args, kwargs


class ParamsBase(with_metaclass(MetaParams, object)):
    pass  # stub to allow easy subclassing without metaclasses


class ItemCollection(object):
    '''
    Holds a collection of items that can be reached by

      - Index
      - Name (if set in the append operation)
    '''
    def __init__(self):
        self._items = list()
        self._names = list()

    def __len__(self):
        return len(self._items)

    def append(self, item, name=None):
        setattr(self, name, item)
        self._items.append(item)
        if name:
            self._names.append(name)

    def __getitem__(self, key):
        return self._items[key]

    def getnames(self):
        return self._names

    def getitems(self):
        return zip(self._names, self._items)

    def getbyname(self, name):
        idx = self._names.index(name)
        return self._items[idx]


================================================
FILE: backtrader/observer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .lineiterator import LineIterator, ObserverBase, StrategyBase
from backtrader.utils.py3 import with_metaclass


class MetaObserver(ObserverBase.__class__):
    def donew(cls, *args, **kwargs):
        _obj, args, kwargs = super(MetaObserver, cls).donew(*args, **kwargs)
        _obj._analyzers = list()  # keep children analyzers

        return _obj, args, kwargs  # return the instantiated object and args

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaObserver, cls).dopreinit(_obj, *args, **kwargs)

        if _obj._stclock:  # Change clock if strategy wide observer
            _obj._clock = _obj._owner

        return _obj, args, kwargs


class Observer(with_metaclass(MetaObserver, ObserverBase)):
    _stclock = False

    _OwnerCls = StrategyBase
    _ltype = LineIterator.ObsType

    csv = True

    plotinfo = dict(plot=False, subplot=True)

    # An Observer is ideally always observing and that' why prenext calls
    # next. The behaviour can be overriden by subclasses
    def prenext(self):
        self.next()

    def _register_analyzer(self, analyzer):
        self._analyzers.append(analyzer)

    def _start(self):
        self.start()

    def start(self):
        pass


================================================
FILE: backtrader/observers/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the Indicator objects
# of prepend an "_" (underscore) to private classes/variables

from .broker import *
from .buysell import *
from .trades import *
from .drawdown import *
from .timereturn import *
from .benchmark import *

from .logreturns import *


================================================
FILE: backtrader/observers/benchmark.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from . import TimeReturn


class Benchmark(TimeReturn):
    '''This observer stores the *returns* of the strategy and the *return* of a
    reference asset which is one of the datas passed to the system.

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` then the complete return over the entire backtested period
        will be reported

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

      - ``data`` (default: ``None``)

        Reference asset to track to allow for comparison.

        .. note:: this data must have been added to a ``cerebro`` instance with
                  ``addata``, ``resampledata`` or ``replaydata``.


      - ``_doprenext`` (default: ``False``)

        Benchmarking will take place from the point at which the strategy kicks
        in (i.e.: when the minimum period of the strategy has been met).

        Setting this to ``True`` will record benchmarking values from the
        starting point of the data feeds

      - ``firstopen`` (default: ``False``)

        Keepint it as ``False`` ensures that the 1st comparison point between
        the value and the benchmark starts at 0%, because the benchmark will
        not use its opening price.

        See the ``TimeReturn`` analyzer reference for a full explanation of the
        meaning of the parameter

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Remember that at any moment of a ``run`` the current values can be checked
    by looking at the *lines* by name at index ``0``.

    '''
    _stclock = True

    lines = ('benchmark',)
    plotlines = dict(benchmark=dict(_name='Benchmark'))

    params = (
        ('data', None),
        ('_doprenext', False),
        # Set to false to ensure the asset is measured at 0% in the 1st tick
        ('firstopen', False),
        ('fund', None)
    )

    def _plotlabel(self):
        labels = super(Benchmark, self)._plotlabel()
        labels.append(self.p.data._name)
        return labels

    def __init__(self):
        if self.p.data is None:  # use the 1st data in the system if none given
            self.p.data = self.data0

        super(Benchmark, self).__init__()  # treturn including data parameter
        # Create a time return object without the data
        kwargs = self.p._getkwargs()
        kwargs.update(data=None)  # to create a return for the stratey
        t = self._owner._addanalyzer_slave(bt.analyzers.TimeReturn, **kwargs)

        # swap for consistency
        self.treturn, self.tbench = t, self.treturn

    def next(self):
        super(Benchmark, self).next()
        self.lines.benchmark[0] = self.tbench.rets.get(self.treturn.dtkey,
                                                       float('NaN'))

    def prenext(self):
        if self.p._doprenext:
            super(TimeReturn, self).prenext()


================================================
FILE: backtrader/observers/broker.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from .. import Observer


class Cash(Observer):
    '''This observer keeps track of the current amount of cash in the broker

    Params: None
    '''
    _stclock = True

    lines = ('cash',)

    plotinfo = dict(plot=True, subplot=True)

    def next(self):
        self.lines[0][0] = self._owner.broker.getcash()


class Value(Observer):
    '''This observer keeps track of the current portfolio value in the broker
    including the cash

    Params:

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    '''
    _stclock = True

    params = (
        ('fund', None),
    )

    lines = ('value',)

    plotinfo = dict(plot=True, subplot=True)

    def start(self):
        if self.p.fund is None:
            self._fundmode = self._owner.broker.fundmode
        else:
            self._fundmode = self.p.fund

    def next(self):
        if not self._fundmode:
            self.lines[0][0] = self._owner.broker.getvalue()
        else:
            self.lines[0][0] = self._owner.broker.fundvalue


class Broker(Observer):
    '''This observer keeps track of the current cash amount and portfolio value in
    the broker (including the cash)

    Params: None
    '''
    _stclock = True

    params = (
        ('fund', None),
    )

    alias = ('CashValue',)
    lines = ('cash', 'value')

    plotinfo = dict(plot=True, subplot=True)

    def start(self):
        if self.p.fund is None:
            self._fundmode = self._owner.broker.fundmode
        else:
            self._fundmode = self.p.fund

        if self._fundmode:
            self.plotlines.cash._plotskip = True
            self.plotlines.value._name = 'FundValue'

    def next(self):
        if not self._fundmode:
            self.lines.value[0] = value = self._owner.broker.getvalue()
            self.lines.cash[0] = self._owner.broker.getcash()
        else:
            self.lines.value[0] = self._owner.broker.fundvalue


class FundValue(Observer):
    '''This observer keeps track of the current fund-like value

    Params: None
    '''
    _stclock = True

    alias = ('FundShareValue', 'FundVal')
    lines = ('fundval',)

    plotinfo = dict(plot=True, subplot=True)

    def next(self):
        self.lines.fundval[0] = self._owner.broker.fundvalue


class FundShares(Observer):
    '''This observer keeps track of the current fund-like shares

    Params: None
    '''
    _stclock = True

    lines = ('fundshares',)

    plotinfo = dict(plot=True, subplot=True)

    def next(self):
        self.lines.fundshares[0] = self._owner.broker.fundshares


================================================
FILE: backtrader/observers/buysell.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

from ..observer import Observer


class BuySell(Observer):
    '''
    This observer keeps track of the individual buy/sell orders (individual
    executions) and will plot them on the chart along the data around the
    execution price level

    Params:
      - ``barplot`` (default: ``False``) Plot buy signals below the minimum and
        sell signals above the maximum.

        If ``False`` it will plot on the average price of executions during a
        bar

      - ``bardist`` (default: ``0.015`` 1.5%) Distance to max/min when
        ``barplot`` is ``True``
    '''
    lines = ('buy', 'sell',)

    plotinfo = dict(plot=True, subplot=False, plotlinelabels=True)
    plotlines = dict(
        buy=dict(marker='^', markersize=8.0, color='lime',
                 fillstyle='full', ls=''),
        sell=dict(marker='v', markersize=8.0, color='red',
                  fillstyle='full', ls='')
    )

    params = (
        ('barplot', False),  # plot above/below max/min for clarity in bar plot
        ('bardist', 0.015),  # distance to max/min in absolute perc
    )

    def next(self):
        buy = list()
        sell = list()

        for order in self._owner._orderspending:
            if order.data is not self.data or not order.executed.size:
                continue

            if order.isbuy():
                buy.append(order.executed.price)
            else:
                sell.append(order.executed.price)

        # Take into account replay ... something could already be in there
        # Write down the average buy/sell price

        # BUY
        curbuy = self.lines.buy[0]
        if curbuy != curbuy:  # NaN
            curbuy = 0.0
            self.curbuylen = curbuylen = 0
        else:
            curbuylen = self.curbuylen

        buyops = (curbuy + math.fsum(buy))
        buylen = curbuylen + len(buy)

        value = buyops / float(buylen or 'NaN')
        if not self.p.barplot:
            self.lines.buy[0] = value
        elif value == value:  # Not NaN
            pbuy = self.data.low[0] * (1 - self.p.bardist)
            self.lines.buy[0] = pbuy

        # Update buylen values
        curbuy = buyops
        self.curbuylen = buylen

        # SELL
        cursell = self.lines.sell[0]
        if cursell != cursell:  # NaN
            cursell = 0.0
            self.curselllen = curselllen = 0
        else:
            curselllen = self.curselllen

        sellops = (cursell + math.fsum(sell))
        selllen = curselllen + len(sell)

        value = sellops / float(selllen or 'NaN')
        if not self.p.barplot:
            self.lines.sell[0] = value
        elif value == value:  # Not NaN
            psell = self.data.high[0] * (1 + self.p.bardist)
            self.lines.sell[0] = psell

        # Update selllen values
        cursell = sellops
        self.curselllen = selllen


================================================
FILE: backtrader/observers/drawdown.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from .. import Observer


class DrawDown(Observer):
    '''This observer keeps track of the current drawdown level (plotted) and
    the maxdrawdown (not plotted) levels

    Params:

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    '''
    _stclock = True

    params = (
        ('fund', None),
    )

    lines = ('drawdown', 'maxdrawdown',)

    plotinfo = dict(plot=True, subplot=True)

    plotlines = dict(maxdrawdown=dict(_plotskip=True,))

    def __init__(self):
        kwargs = self.p._getkwargs()
        self._dd = self._owner._addanalyzer_slave(bt.analyzers.DrawDown,
                                                  **kwargs)

    def next(self):
        self.lines.drawdown[0] = self._dd.rets.drawdown  # update drawdown
        self.lines.maxdrawdown[0] = self._dd.rets.max.drawdown  # update max


class DrawDownLength(Observer):
    '''This observer keeps track of the current drawdown length (plotted) and
    the drawdown max length (not plotted)

    Params: None
    '''
    _stclock = True

    lines = ('len', 'maxlen',)

    plotinfo = dict(plot=True, subplot=True)

    plotlines = dict(maxlength=dict(_plotskip=True,))

    def __init__(self):
        self._dd = self._owner._addanalyzer_slave(bt.analyzers.DrawDown)

    def next(self):
        self.lines.len[0] = self._dd.rets.len  # update drawdown length
        self.lines.maxlen[0] = self._dd.rets.max.len  # update max length


class DrawDown_Old(Observer):
    '''This observer keeps track of the current drawdown level (plotted) and
    the maxdrawdown (not plotted) levels

    Params: None
    '''
    _stclock = True

    lines = ('drawdown', 'maxdrawdown',)

    plotinfo = dict(plot=True, subplot=True)

    plotlines = dict(maxdrawdown=dict(_plotskip='True',))

    def __init__(self):
        super(DrawDown_Old, self).__init__()

        self.maxdd = 0.0
        self.peak = float('-inf')

    def next(self):
        value = self._owner.broker.getvalue()

        # update the maximum seen peak
        if value > self.peak:
            self.peak = value

        # calculate the current drawdown
        self.lines.drawdown[0] = dd = 100.0 * (self.peak - value) / self.peak

        # update the maxdrawdown if needed
        self.lines.maxdrawdown[0] = self.maxdd = max(self.maxdd, dd)


================================================
FILE: backtrader/observers/logreturns.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt


__all__ = ['LogReturns', 'LogReturns2']


class LogReturns(bt.Observer):
    '''This observer stores the *log returns* of the strategy or a

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` then the complete return over the entire backtested period
        will be reported

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Remember that at any moment of a ``run`` the current values can be checked
    by looking at the *lines* by name at index ``0``.

    '''
    _stclock = True

    lines = ('logret1',)
    plotinfo = dict(plot=True, subplot=True)

    params = (
        ('timeframe', None),
        ('compression', None),
        ('fund', None),
    )

    def _plotlabel(self):
        return [bt.TimeFrame.getname(self.p.timeframe, self.p.compression),
                str(self.p.compression or 1)]

    def __init__(self):
        self.logret1 = self._owner._addanalyzer_slave(
            bt.analyzers.LogReturnsRolling,
            data=self.data0, **self.p._getkwargs())

    def next(self):
        self.lines.logret1[0] = self.logret1.rets[self.logret1.dtkey]


class LogReturns2(LogReturns):
    '''Extends the observer LogReturns to show two instruments'''
    lines = ('logret2',)

    def __init__(self):
        super(LogReturns2, self).__init__()

        self.logret2 = self._owner._addanalyzer_slave(
            bt.analyzers.LogReturnsRolling,
            data=self.data1, **self.p._getkwargs())

    def next(self):
        super(LogReturns2, self).next()
        self.lines.logret2[0] = self.logret2.rets[self.logret2.dtkey]


================================================
FILE: backtrader/observers/timereturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import calendar
import datetime

import backtrader as bt
from .. import Observer, TimeFrame

from backtrader.utils.py3 import MAXINT


class TimeReturn(Observer):
    '''This observer stores the *returns* of the strategy.

    Params:

      - ``timeframe`` (default: ``None``)
        If ``None`` then the complete return over the entire backtested period
        will be reported

        Pass ``TimeFrame.NoTimeFrame`` to consider the entire dataset with no
        time constraints

      - ``compression`` (default: ``None``)

        Only used for sub-day timeframes to for example work on an hourly
        timeframe by specifying "TimeFrame.Minutes" and 60 as compression

      - ``fund`` (default: ``None``)

        If ``None`` the actual mode of the broker (fundmode - True/False) will
        be autodetected to decide if the returns are based on the total net
        asset value or on the fund value. See ``set_fundmode`` in the broker
        documentation

        Set it to ``True`` or ``False`` for a specific behavior

    Remember that at any moment of a ``run`` the current values can be checked
    by looking at the *lines* by name at index ``0``.

    '''
    _stclock = True

    lines = ('timereturn',)
    plotinfo = dict(plot=True, subplot=True)
    plotlines = dict(timereturn=dict(_name='Return'))

    params = (
        ('timeframe', None),
        ('compression', None),
        ('fund', None),
    )

    def _plotlabel(self):
        return [
            # Use the final tf/comp values calculated by the return analyzer
            TimeFrame.getname(self.treturn.timeframe,
                              self.treturn.compression),
            str(self.treturn.compression)
        ]

    def __init__(self):
        self.treturn = self._owner._addanalyzer_slave(bt.analyzers.TimeReturn,
                                                      **self.p._getkwargs())

    def next(self):
        self.lines.timereturn[0] = self.treturn.rets.get(self.treturn.dtkey,
                                                         float('NaN'))


================================================
FILE: backtrader/observers/trades.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import uuid

from .. import Observer
from ..utils.py3 import with_metaclass

from ..trade import Trade


class Trades(Observer):
    '''This observer keeps track of full trades and plot the PnL level achieved
    when a trade is closed.

    A trade is open when a position goes from 0 (or crossing over 0) to X and
    is then closed when it goes back to 0 (or crosses over 0 in the opposite
    direction)

    Params:
      - ``pnlcomm`` (def: ``True``)

        Show net/profit and loss, i.e.: after commission. If set to ``False``
        if will show the result of trades before commission
    '''
    _stclock = True

    lines = ('pnlplus', 'pnlminus')

    params = dict(pnlcomm=True)

    plotinfo = dict(plot=True, subplot=True,
                    plotname='Trades - Net Profit/Loss',
                    plotymargin=0.10,
                    plothlines=[0.0])

    plotlines = dict(
        pnlplus=dict(_name='Positive',
                     ls='', marker='o', color='blue',
                     markersize=8.0, fillstyle='full'),
        pnlminus=dict(_name='Negative',
                      ls='', marker='o', color='red',
                      markersize=8.0, fillstyle='full')
    )

    def __init__(self):

        self.trades = 0

        self.trades_long = 0
        self.trades_short = 0

        self.trades_plus = 0
        self.trades_minus = 0

        self.trades_plus_gross = 0
        self.trades_minus_gross = 0

        self.trades_win = 0
        self.trades_win_max = 0
        self.trades_win_min = 0

        self.trades_loss = 0
        self.trades_loss_max = 0
        self.trades_loss_min = 0

        self.trades_length = 0
        self.trades_length_max = 0
        self.trades_length_min = 0

    def next(self):
        for trade in self._owner._tradespending:
            if trade.data not in self.ddatas:
                continue

            if not trade.isclosed:
                continue

            pnl = trade.pnlcomm if self.p.pnlcomm else trade.pnl

            if pnl >= 0.0:
                self.lines.pnlplus[0] = pnl
            else:
                self.lines.pnlminus[0] = pnl


class MetaDataTrades(Observer.__class__):
    def donew(cls, *args, **kwargs):
        _obj, args, kwargs = super(MetaDataTrades, cls).donew(*args, **kwargs)

        # Recreate the lines dynamically
        if _obj.params.usenames:
            lnames = tuple(x._name for x in _obj.datas)
        else:
            lnames = tuple('data{}'.format(x) for x in range(len(_obj.datas)))

        # Generate a new lines class
        linescls = cls.lines._derive(uuid.uuid4().hex, lnames, 0, ())

        # Instantiate lines
        _obj.lines = linescls()

        # Generate plotlines info
        markers = ['o', 'v', '^', '<', '>', '1', '2', '3', '4', '8', 's', 'p',
                   '*', 'h', 'H', '+', 'x', 'D', 'd']

        colors = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'b', 'g', 'r', 'c', 'm',
                  'y', 'k', 'b', 'g', 'r', 'c', 'm']

        basedict = dict(ls='', markersize=8.0, fillstyle='full')

        plines = dict()
        for lname, marker, color in zip(lnames, markers, colors):
            plines[lname] = d = basedict.copy()
            d.update(marker=marker, color=color)

        plotlines = cls.plotlines._derive(
            uuid.uuid4().hex, plines, [], recurse=True)
        _obj.plotlines = plotlines()

        return _obj, args, kwargs  # return the instantiated object and args


class DataTrades(with_metaclass(MetaDataTrades, Observer)):
    _stclock = True

    params = (('usenames', True),)

    plotinfo = dict(plot=True, subplot=True, plothlines=[0.0],
                    plotymargin=0.10)

    plotlines = dict()

    def next(self):
        for trade in self._owner._tradespending:
            if trade.data not in self.ddatas:
                continue

            if not trade.isclosed:
                continue

            self.lines[trade.data._id - 1][0] = trade.pnl


================================================
FILE: backtrader/order.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from copy import copy
import datetime
import itertools

from .utils.py3 import range, with_metaclass, iteritems

from .metabase import MetaParams
from .utils import AutoOrderedDict


class OrderExecutionBit(object):
    '''
    Intended to hold information about order execution. A "bit" does not
    determine if the order has been fully/partially executed, it just holds
    information.

    Member Attributes:

      - dt: datetime (float) execution time
      - size: how much was executed
      - price: execution price
      - closed: how much of the execution closed an existing postion
      - opened: how much of the execution opened a new position
      - openedvalue: market value of the "opened" part
      - closedvalue: market value of the "closed" part
      - closedcomm: commission for the "closed" part
      - openedcomm: commission for the "opened" part

      - value: market value for the entire bit size
      - comm: commission for the entire bit execution
      - pnl: pnl generated by this bit (if something was closed)

      - psize: current open position size
      - pprice: current open position price

    '''

    def __init__(self,
                 dt=None, size=0, price=0.0,
                 closed=0, closedvalue=0.0, closedcomm=0.0,
                 opened=0, openedvalue=0.0, openedcomm=0.0,
                 pnl=0.0,
                 psize=0, pprice=0.0):

        self.dt = dt
        self.size = size
        self.price = price

        self.closed = closed
        self.opened = opened
        self.closedvalue = closedvalue
        self.openedvalue = openedvalue
        self.closedcomm = closedcomm
        self.openedcomm = openedcomm

        self.value = closedvalue + openedvalue
        self.comm = closedcomm + openedcomm
        self.pnl = pnl

        self.psize = psize
        self.pprice = pprice


class OrderData(object):
    '''
    Holds actual order data for Creation and Execution.

    In the case of Creation the request made and in the case of Execution the
    actual outcome.

    Member Attributes:

      - exbits : iterable of OrderExecutionBits for this OrderData

      - dt: datetime (float) creation/execution time
      - size: requested/executed size
      - price: execution price
        Note: if no price is given and no pricelimite is given, the closing
        price at the time or order creation will be used as reference
      - pricelimit: holds pricelimit for StopLimit (which has trigger first)
      - trailamount: absolute price distance in trailing stops
      - trailpercent: percentage price distance in trailing stops

      - value: market value for the entire bit size
      - comm: commission for the entire bit execution
      - pnl: pnl generated by this bit (if something was closed)
      - margin: margin incurred by the Order (if any)

      - psize: current open position size
      - pprice: current open position price

    '''
    # According to the docs, collections.deque is thread-safe with appends at
    # both ends, there will be no pop (nowhere) and therefore to know which the
    # new exbits are two indices are needed. At time of cloning (__copy__) the
    # indices can be updated to match the previous end, and the new end
    # (len(exbits)
    # Example: start 0, 0 -> islice(exbits, 0, 0) -> []
    # One added -> copy -> updated 0, 1 -> islice(exbits, 0, 1) -> [1 elem]
    # Other added -> copy -> updated 1, 2 -> islice(exbits, 1, 2) -> [1 elem]
    # "add" and "__copy__" happen always in the same thread (with all current
    # implementations) and therefore no append will happen during a copy and
    # the len of the exbits can be queried with no concerns about another
    # thread making an append and with no need for a lock

    def __init__(self, dt=None, size=0, price=0.0, pricelimit=0.0, remsize=0,
                 pclose=0.0, trailamount=0.0, trailpercent=0.0):

        self.pclose = pclose
        self.exbits = collections.deque()  # for historical purposes
        self.p1, self.p2 = 0, 0  # indices to pending notifications

        self.dt = dt
        self.size = size
        self.remsize = remsize
        self.price = price
        self.pricelimit = pricelimit
        self.trailamount = trailamount
        self.trailpercent = trailpercent

        if not pricelimit:
            # if no pricelimit is given, use the given price
            self.pricelimit = self.price

        if pricelimit and not price:
            # price must always be set if pricelimit is set ...
            self.price = pricelimit

        self.plimit = pricelimit

        self.value = 0.0
        self.comm = 0.0
        self.margin = None
        self.pnl = 0.0

        self.psize = 0
        self.pprice = 0

    def _getplimit(self):
        return self._plimit

    def _setplimit(self, val):
        self._plimit = val

    plimit = property(_getplimit, _setplimit)

    def __len__(self):
        return len(self.exbits)

    def __getitem__(self, key):
        return self.exbits[key]

    def add(self, dt, size, price,
            closed=0, closedvalue=0.0, closedcomm=0.0,
            opened=0, openedvalue=0.0, openedcomm=0.0,
            pnl=0.0,
            psize=0, pprice=0.0):

        self.addbit(
            OrderExecutionBit(dt, size, price,
                              closed, closedvalue, closedcomm,
                              opened, openedvalue, openedcomm, pnl,
                              psize, pprice))

    def addbit(self, exbit):
        # Stores an ExecutionBit and recalculates own values from ExBit
        self.exbits.append(exbit)

        self.remsize -= exbit.size

        self.dt = exbit.dt
        oldvalue = self.size * self.price
        newvalue = exbit.size * exbit.price
        self.size += exbit.size
        self.price = (oldvalue + newvalue) / self.size
        self.value += exbit.value
        self.comm += exbit.comm
        self.pnl += exbit.pnl
        self.psize = exbit.psize
        self.pprice = exbit.pprice

    def getpending(self):
        return list(self.iterpending())

    def iterpending(self):
        return itertools.islice(self.exbits, self.p1, self.p2)

    def markpending(self):
        # rebuild the indices to mark which exbits are pending in clone
        self.p1, self.p2 = self.p2, len(self.exbits)

    def clone(self):
        self.markpending()
        obj = copy(self)
        return obj


class OrderBase(with_metaclass(MetaParams, object)):
    params = (
        ('owner', None), ('data', None),
        ('size', None), ('price', None), ('pricelimit', None),
        ('exectype', None), ('valid', None), ('tradeid', 0), ('oco', None),
        ('trailamount', None), ('trailpercent', None),
        ('parent', None), ('transmit', True),
        ('simulated', False),
        # To support historical order evaluation
        ('histnotify', False),
    )

    DAY = datetime.timedelta()  # constant for DAY order identification

    # Time Restrictions for orders
    T_Close, T_Day, T_Date, T_None = range(4)

    # Volume Restrictions for orders
    V_None = range(1)

    (Market, Close, Limit, Stop, StopLimit, StopTrail, StopTrailLimit,
     Historical) = range(8)
    ExecTypes = ['Market', 'Close', 'Limit', 'Stop', 'StopLimit', 'StopTrail',
                 'StopTrailLimit', 'Historical']

    OrdTypes = ['Buy', 'Sell']
    Buy, Sell = range(2)

    Created, Submitted, Accepted, Partial, Completed, \
        Canceled, Expired, Margin, Rejected = range(9)

    Cancelled = Canceled  # alias

    Status = [
        'Created', 'Submitted', 'Accepted', 'Partial', 'Completed',
        'Canceled', 'Expired', 'Margin', 'Rejected',
    ]

    refbasis = itertools.count(1)  # for a unique identifier per order

    def _getplimit(self):
        return self._plimit

    def _setplimit(self, val):
        self._plimit = val

    plimit = property(_getplimit, _setplimit)

    def __getattr__(self, name):
        # Return attr from params if not found in order
        return getattr(self.params, name)

    def __setattribute__(self, name, value):
        if hasattr(self.params, name):
            setattr(self.params, name, value)
        else:
            super(Order, self).__setattribute__(name, value)

    def __str__(self):
        tojoin = list()
        tojoin.append('Ref: {}'.format(self.ref))
        tojoin.append('OrdType: {}'.format(self.ordtype))
        tojoin.append('OrdType: {}'.format(self.ordtypename()))
        tojoin.append('Status: {}'.format(self.status))
        tojoin.append('Status: {}'.format(self.getstatusname()))
        tojoin.append('Size: {}'.format(self.size))
        tojoin.append('Price: {}'.format(self.price))
        tojoin.append('Price Limit: {}'.format(self.pricelimit))
        tojoin.append('TrailAmount: {}'.format(self.trailamount))
        tojoin.append('TrailPercent: {}'.format(self.trailpercent))
        tojoin.append('ExecType: {}'.format(self.exectype))
        tojoin.append('ExecType: {}'.format(self.getordername()))
        tojoin.append('CommInfo: {}'.format(self.comminfo))
        tojoin.append('End of Session: {}'.format(self.dteos))
        tojoin.append('Info: {}'.format(self.info))
        tojoin.append('Broker: {}'.format(self.broker))
        tojoin.append('Alive: {}'.format(self.alive()))

        return '\n'.join(tojoin)

    def __init__(self):
        self.ref = next(self.refbasis)
        self.broker = None
        self.info = AutoOrderedDict()
        self.comminfo = None
        self.triggered = False

        self._active = self.parent is None
        self.status = Order.Created

        self.plimit = self.p.pricelimit  # alias via property

        if self.exectype is None:
            self.exectype = Order.Market

        if not self.isbuy():
            self.size = -self.size

        # Set a reference price if price is not set using
        # the close price
        pclose = self.data.close[0] if not self.p.simulated else self.price
        price = pclose if not self.price and not self.pricelimit else self.price

        dcreated = self.data.datetime[0] if not self.p.simulated else 0.0
        self.created = OrderData(dt=dcreated,
                                 size=self.size,
                                 price=price,
                                 pricelimit=self.pricelimit,
                                 pclose=pclose,
                                 trailamount=self.trailamount,
                                 trailpercent=self.trailpercent)

        # Adjust price in case a trailing limit is wished
        if self.exectype in [Order.StopTrail, Order.StopTrailLimit]:
            self._limitoffset = self.created.price - self.created.pricelimit
            price = self.created.price
            self.created.price = float('inf' * self.isbuy() or '-inf')
            self.trailadjust(price)
        else:
            self._limitoffset = 0.0

        self.executed = OrderData(remsize=self.size)
        self.position = 0

        if isinstance(self.valid, datetime.date):
            # comparison will later be done against the raw datetime[0] value
            self.valid = self.data.date2num(self.valid)
        elif isinstance(self.valid, datetime.timedelta):
            # offset with regards to now ... get utcnow + offset
            # when reading with date2num ... it will be automatically localized
            if self.valid == self.DAY:
                valid = datetime.datetime.combine(
                    self.data.datetime.date(), datetime.time(23, 59, 59, 9999))
            else:
                valid = self.data.datetime.datetime() + self.valid

            self.valid = self.data.date2num(valid)

        elif self.valid is not None:
            if not self.valid:  # avoid comparing None and 0
                valid = datetime.datetime.combine(
                    self.data.datetime.date(), datetime.time(23, 59, 59, 9999))
            else:  # assume float
                valid = self.data.datetime[0] + self.valid

        if not self.p.simulated:
            # provisional end-of-session
            # get next session end
            dtime = self.data.datetime.datetime(0)
            session = self.data.p.sessionend
            dteos = dtime.replace(hour=session.hour, minute=session.minute,
                                  second=session.second,
                                  microsecond=session.microsecond)

            if dteos < dtime:
                # eos before current time ... no ... must be at least next day
                dteos += datetime.timedelta(days=1)

            self.dteos = self.data.date2num(dteos)
        else:
            self.dteos = 0.0

    def clone(self):
        # status, triggered and executed are the only moving parts in order
        # status and triggered are covered by copy
        # executed has to be replaced with an intelligent clone of itself
        obj = copy(self)
        obj.executed = self.executed.clone()
        return obj  # status could change in next to completed

    def getstatusname(self, status=None):
        '''Returns the name for a given status or the one of the order'''
        return self.Status[self.status if status is None else status]

    def getordername(self, exectype=None):
        '''Returns the name for a given exectype or the one of the order'''
        return self.ExecTypes[self.exectype if exectype is None else exectype]

    @classmethod
    def ExecType(cls, exectype):
        return getattr(cls, exectype)

    def ordtypename(self, ordtype=None):
        '''Returns the name for a given ordtype or the one of the order'''
        return self.OrdTypes[self.ordtype if ordtype is None else ordtype]

    def active(self):
        return self._active

    def activate(self):
        self._active = True

    def alive(self):
        '''Returns True if the order is in a status in which it can still be
        executed
        '''
        return self.status in [Order.Created, Order.Submitted,
                               Order.Partial, Order.Accepted]

    def addcomminfo(self, comminfo):
        '''Stores a CommInfo scheme associated with the asset'''
        self.comminfo = comminfo

    def addinfo(self, **kwargs):
        '''Add the keys, values of kwargs to the internal info dictionary to
        hold custom information in the order
        '''
        for key, val in iteritems(kwargs):
            self.info[key] = val

    def __eq__(self, other):
        return other is not None and self.ref == other.ref

    def __ne__(self, other):
        return self.ref != other.ref

    def isbuy(self):
        '''Returns True if the order is a Buy order'''
        return self.ordtype == self.Buy

    def issell(self):
        '''Returns True if the order is a Sell order'''
        return self.ordtype == self.Sell

    def setposition(self, position):
        '''Receives the current position for the asset and stotres it'''
        self.position = position

    def submit(self, broker=None):
        '''Marks an order as submitted and stores the broker to which it was
        submitted'''
        self.status = Order.Submitted
        self.broker = broker
        self.plen = len(self.data)

    def accept(self, broker=None):
        '''Marks an order as accepted'''
        self.status = Order.Accepted
        self.broker = broker

    def brokerstatus(self):
        '''Tries to retrieve the status from the broker in which the order is.

        Defaults to last known status if no broker is associated'''
        if self.broker:
            return self.broker.orderstatus(self)

        return self.status

    def reject(self, broker=None):
        '''Marks an order as rejected'''
        if self.status == Order.Rejected:
            return False

        self.status = Order.Rejected
        self.broker = broker
        if not self.p.simulated:
            self.executed.dt = self.data.datetime[0]
        return True

    def cancel(self):
        '''Marks an order as cancelled'''
        self.status = Order.Canceled
        if not self.p.simulated:
            self.executed.dt = self.data.datetime[0]

    def margin(self):
        '''Marks an order as having met a margin call'''
        self.status = Order.Margin
        if not self.p.simulated:
            self.executed.dt = self.data.datetime[0]

    def completed(self):
        '''Marks an order as completely filled'''
        self.status = self.Completed

    def partial(self):
        '''Marks an order as partially filled'''
        self.status = self.Partial

    def execute(self, dt, size, price,
                closed, closedvalue, closedcomm,
                opened, openedvalue, openedcomm,
                margin, pnl,
                psize, pprice):

        '''Receives data execution input and stores it'''
        if not size:
            return

        self.executed.add(dt, size, price,
                          closed, closedvalue, closedcomm,
                          opened, openedvalue, openedcomm,
                          pnl, psize, pprice)

        self.executed.margin = margin

    def expire(self):
        '''Marks an order as expired. Returns True if it worked'''
        self.status = self.Expired
        return True

    def trailadjust(self, price):
        pass  # generic interface


class Order(OrderBase):
    '''
    Class which holds creation/execution data and type of oder.

    The order may have the following status:

      - Submitted: sent to the broker and awaiting confirmation
      - Accepted: accepted by the broker
      - Partial: partially executed
      - Completed: fully exexcuted
      - Canceled/Cancelled: canceled by the user
      - Expired: expired
      - Margin: not enough cash to execute the order.
      - Rejected: Rejected by the broker

        This can happen during order submission (and therefore the order will
        not reach the Accepted status) or before execution with each new bar
        price because cash has been drawn by other sources (future-like
        instruments may have reduced the cash or orders orders may have been
        executed)

    Member Attributes:

      - ref: unique order identifier
      - created: OrderData holding creation data
      - executed: OrderData holding execution data

      - info: custom information passed over method :func:`addinfo`. It is kept
        in the form of an OrderedDict which has been subclassed, so that keys
        can also be specified using '.' notation

    User Methods:

      - isbuy(): returns bool indicating if the order buys
      - issell(): returns bool indicating if the order sells
      - alive(): returns bool if order is in status Partial or Accepted
    '''

    def execute(self, dt, size, price,
                closed, closedvalue, closedcomm,
                opened, openedvalue, openedcomm,
                margin, pnl,
                psize, pprice):

        super(Order, self).execute(dt, size, price,
                                   closed, closedvalue, closedcomm,
                                   opened, openedvalue, openedcomm,
                                   margin, pnl, psize, pprice)

        if self.executed.remsize:
            self.status = Order.Partial
        else:
            self.status = Order.Completed

        # self.comminfo = None

    def expire(self):
        if self.exectype == Order.Market:
            return False  # will be executed yes or yes

        if self.valid and self.data.datetime[0] > self.valid:
            self.status = Order.Expired
            self.executed.dt = self.data.datetime[0]
            return True

        return False

    def trailadjust(self, price):
        if self.trailamount:
            pamount = self.trailamount
        elif self.trailpercent:
            pamount = price * self.trailpercent
        else:
            pamount = 0.0

        # Stop sell is below (-), stop buy is above, move only if needed
        if self.isbuy():
            price += pamount
            if price < self.created.price:
                self.created.price = price
                if self.exectype == Order.StopTrailLimit:
                    self.created.pricelimit = price - self._limitoffset
        else:
            price -= pamount
            if price > self.created.price:
                self.created.price = price
                if self.exectype == Order.StopTrailLimit:
                    # limitoffset is negative when pricelimit was greater
                    # the - allows increasing the price limit if stop increases
                    self.created.pricelimit = price - self._limitoffset


class BuyOrder(Order):
    ordtype = Order.Buy


class StopBuyOrder(BuyOrder):
    pass


class StopLimitBuyOrder(BuyOrder):
    pass


class SellOrder(Order):
    ordtype = Order.Sell


class StopSellOrder(SellOrder):
    pass


class StopLimitSellOrder(SellOrder):
    pass


================================================
FILE: backtrader/plot/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys


try:
    import matplotlib
except ImportError:
    raise ImportError(
        'Matplotlib seems to be missing. Needed for plotting support')
else:
    touse = 'TKAgg' if sys.platform != 'darwin' else 'MacOSX'
    try:
        matplotlib.use(touse)
    except:
        # if another backend has already been loaded, an exception will be
        # generated and this can be skipped
        pass


from .plot import Plot, Plot_OldSync
from .scheme import PlotScheme


================================================
FILE: backtrader/plot/finance.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from ..utils.py3 import range, zip

import matplotlib.collections as mcol
import matplotlib.colors as mcolors
import matplotlib.legend as mlegend
import matplotlib.lines as mlines

from .utils import shade_color


class CandlestickPlotHandler(object):
    legend_opens = [0.50, 0.50, 0.50]
    legend_highs = [1.00, 1.00, 1.00]
    legend_lows = [0.00, 0.00, 0.00]
    legend_closes = [0.80, 0.00, 1.00]

    def __init__(self,
                 ax, x, opens, highs, lows, closes,
                 colorup='k', colordown='r',
                 edgeup=None, edgedown=None,
                 tickup=None, tickdown=None,
                 width=1, tickwidth=1,
                 edgeadjust=0.05, edgeshading=-10,
                 alpha=1.0,
                 label='_nolegend',
                 fillup=True,
                 filldown=True,
                 **kwargs):

        # Manager up/down bar colors
        r, g, b = mcolors.colorConverter.to_rgb(colorup)
        self.colorup = r, g, b, alpha
        r, g, b = mcolors.colorConverter.to_rgb(colordown)
        self.colordown = r, g, b, alpha
        # Manage the edge up/down colors for the bars
        if edgeup:
            r, g, b = mcolors.colorConverter.to_rgb(edgeup)
            self.edgeup = ((r, g, b, alpha),)
        else:
            self.edgeup = shade_color(self.colorup, edgeshading)

        if edgedown:
            r, g, b = mcolors.colorConverter.to_rgb(edgedown)
            self.edgedown = ((r, g, b, alpha),)
        else:
            self.edgedown = shade_color(self.colordown, edgeshading)

            # Manage the up/down tick colors
        if tickup:
            r, g, b = mcolors.colorConverter.to_rgb(tickup)
            self.tickup = ((r, g, b, alpha),)
        else:
            self.tickup = self.edgeup

        if tickdown:
            r, g, b = mcolors.colorConverter.to_rgb(tickdown)
            self.tickdown = ((r, g, b, alpha),)
        else:
            self.tickdown = self.edgedown

        self.barcol, self.tickcol = self.barcollection(
            x, opens, highs, lows, closes,
            width, tickwidth, edgeadjust,
            label=label,
            fillup=fillup, filldown=filldown,
            **kwargs)

        # add collections to the axis and return them
        ax.add_collection(self.tickcol)
        ax.add_collection(self.barcol)

        # Update the axis
        ax.update_datalim(((0, min(lows)), (len(opens), max(highs))))
        ax.autoscale_view()

        # Add self as legend handler for this object
        mlegend.Legend.update_default_handler_map({self.barcol: self})

    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
        x0 = handlebox.xdescent
        y0 = handlebox.ydescent
        width = handlebox.width / len(self.legend_opens)
        height = handlebox.height

        # Generate the x axis coordinates (handlebox based)
        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_opens))]

        barcol, tickcol = self.barcollection(
            xs,
            self.legend_opens, self.legend_highs,
            self.legend_lows, self.legend_closes,
            width=width, tickwidth=2,
            scaling=height, bot=y0)

        barcol.set_transform(handlebox.get_transform())
        handlebox.add_artist(barcol)
        tickcol.set_transform(handlebox.get_transform())
        handlebox.add_artist(tickcol)

        return barcol, tickcol

    def barcollection(self,
                      xs,
                      opens, highs, lows, closes,
                      width, tickwidth=1, edgeadjust=0,
                      label='_nolegend',
                      scaling=1.0, bot=0,
                      fillup=True, filldown=True,
                      **kwargs):

        # Prepack different zips of the series values
        oc = lambda: zip(opens, closes)  # NOQA: E731
        xoc = lambda: zip(xs, opens, closes)  # NOQA: E731
        iohlc = lambda: zip(xs, opens, highs, lows, closes)  # NOQA: E731

        colorup = self.colorup if fillup else 'None'
        colordown = self.colordown if filldown else 'None'
        colord = {True: colorup, False: colordown}
        colors = [colord[o < c] for o, c in oc()]

        edgecolord = {True: self.edgeup, False: self.edgedown}
        edgecolors = [edgecolord[o < c] for o, c in oc()]

        tickcolord = {True: self.tickup, False: self.tickdown}
        tickcolors = [tickcolord[o < c] for o, c in oc()]

        delta = width / 2 - edgeadjust

        def barbox(i, open, close):
            # delta seen as closure
            left, right = i - delta, i + delta
            open = open * scaling + bot
            close = close * scaling + bot
            return (left, open), (left, close), (right, close), (right, open)

        barareas = [barbox(i, o, c) for i, o, c in xoc()]

        def tup(i, open, high, close):
            high = high * scaling + bot
            open = open * scaling + bot
            close = close * scaling + bot

            return (i, high), (i, max(open, close))

        tickrangesup = [tup(i, o, h, c) for i, o, h, l, c in iohlc()]

        def tdown(i, open, low, close):
            low = low * scaling + bot
            open = open * scaling + bot
            close = close * scaling + bot

            return (i, low), (i, min(open, close))

        tickrangesdown = [tdown(i, o, l, c) for i, o, h, l, c in iohlc()]

        # Extra variables for the collections
        useaa = 0,  # use tuple here
        lw = 0.5,   # and here
        tlw = tickwidth,

        # Bar collection for the candles
        barcol = mcol.PolyCollection(
            barareas,
            facecolors=colors,
            edgecolors=edgecolors,
            antialiaseds=useaa,
            linewidths=lw,
            label=label,
            **kwargs)

        # LineCollections have a higher zorder than PolyCollections
        # to ensure the edges of the bars are not overwriten by the Lines
        # we need to put the bars slightly over the LineCollections
        kwargs['zorder'] = barcol.get_zorder() * 0.9999

        # Up/down ticks from the body
        tickcol = mcol.LineCollection(
            tickrangesup + tickrangesdown,
            colors=tickcolors,
            linewidths=tlw,
            antialiaseds=useaa,
            **kwargs)

        # return barcol, tickcol
        return barcol, tickcol


def plot_candlestick(ax,
                     x, opens, highs, lows, closes,
                     colorup='k', colordown='r',
                     edgeup=None, edgedown=None,
                     tickup=None, tickdown=None,
                     width=1, tickwidth=1.25,
                     edgeadjust=0.05, edgeshading=-10,
                     alpha=1.0,
                     label='_nolegend',
                     fillup=True,
                     filldown=True,
                     **kwargs):

    chandler = CandlestickPlotHandler(
        ax, x, opens, highs, lows, closes,
        colorup, colordown,
        edgeup, edgedown,
        tickup, tickdown,
        width, tickwidth,
        edgeadjust, edgeshading,
        alpha,
        label,
        fillup,
        filldown,
        **kwargs)

    # Return the collections. the barcol goes first because
    # is the larger,  has the dominant zorder and defines the legend
    return chandler.barcol, chandler.tickcol


class VolumePlotHandler(object):
    legend_vols = [0.5, 1.0, 0.75]
    legend_opens = [0, 1, 0]
    legend_closes = [1, 0, 1]

    def __init__(self,
                 ax, x, opens, closes, volumes,
                 colorup='k', colordown='r',
                 edgeup=None, edgedown=None,
                 edgeshading=-5, edgeadjust=0.05,
                 width=1, alpha=1.0,
                 **kwargs):

        # Manage the up/down colors
        r, g, b = mcolors.colorConverter.to_rgb(colorup)
        self.colorup = r, g, b, alpha
        r, g, b = mcolors.colorConverter.to_rgb(colordown)
        self.colordown = r, g, b, alpha

        # Prepare the edge colors
        if not edgeup:
            self.edgeup = shade_color(self.colorup, edgeshading)
        else:
            r, g, b = mcolors.colorConverter.to_rgb(edgeup)
            self.edgeup = r, g, b, alpha

        if not edgedown:
            self.edgedown = shade_color(self.colordown, edgeshading)
        else:
            r, g, b = mcolors.colorConverter.to_rgb(edgedown)
            self.edgedown = r, g, b, alpha

        corners = (0, 0), (len(closes), max(volumes))
        ax.update_datalim(corners)
        ax.autoscale_view()

        self.barcol = self.barcollection(
            x, opens, closes, volumes,
            width=width, edgeadjust=edgeadjust,
            **kwargs)

        # add to axes
        ax.add_collection(self.barcol)

        # Add a legend handler for this object
        mlegend.Legend.update_default_handler_map({self.barcol: self})

    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
        x0 = handlebox.xdescent
        y0 = handlebox.ydescent
        width = handlebox.width / len(self.legend_vols)
        height = handlebox.height

        # Generate the x axis coordinates (handlebox based)
        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_vols))]

        barcol = self.barcollection(
            xs, self.legend_opens, self.legend_closes, self.legend_vols,
            width=width, vscaling=height, vbot=y0)

        barcol.set_transform(handlebox.get_transform())
        handlebox.add_artist(barcol)

        return barcol

    def barcollection(self,
                      x, opens, closes, vols,
                      width, edgeadjust=0,
                      vscaling=1.0, vbot=0,
                      **kwargs):

        # Prepare the data
        openclose = lambda: zip(opens, closes)  # NOQA: E731

        # Calculate bars colors
        colord = {True: self.colorup, False: self.colordown}
        colors = [colord[open < close] for open, close in openclose()]
        edgecolord = {True: self.edgeup, False: self.edgedown}
        edgecolors = [edgecolord[open < close] for open, close in openclose()]

        # bar width to the sides
        delta = width / 2 - edgeadjust

        # small auxiliary func to return the bar coordinates
        def volbar(i, v):
            left, right = i - delta, i + delta
            v = vbot + v * vscaling
            return (left, vbot), (left, v), (right, v), (right, vbot)

        barareas = [volbar(i, v) for i, v in zip(x, vols)]
        barcol = mcol.PolyCollection(
            barareas,
            facecolors=colors,
            edgecolors=edgecolors,
            antialiaseds=(0,),
            linewidths=(0.5,),
            **kwargs)

        return barcol


def plot_volume(
        ax, x, opens, closes, volumes,
        colorup='k', colordown='r',
        edgeup=None, edgedown=None,
        edgeshading=-5, edgeadjust=0.05,
        width=1, alpha=1.0,
        **kwargs):

    vhandler = VolumePlotHandler(
        ax, x, opens, closes, volumes,
        colorup, colordown,
        edgeup, edgedown,
        edgeshading, edgeadjust,
        width, alpha,
        **kwargs)

    return vhandler.barcol,


class OHLCPlotHandler(object):
    legend_opens = [0.50, 0.50, 0.50]
    legend_highs = [1.00, 1.00, 1.00]
    legend_lows = [0.00, 0.00, 0.00]
    legend_closes = [0.80, 0.20, 0.90]

    def __init__(self,
                 ax, x, opens, highs, lows, closes,
                 colorup='k', colordown='r',
                 width=1, tickwidth=0.5,
                 alpha=1.0,
                 label='_nolegend',
                 **kwargs):

        # Manager up/down bar colors
        r, g, b = mcolors.colorConverter.to_rgb(colorup)
        self.colorup = r, g, b, alpha
        r, g, b = mcolors.colorConverter.to_rgb(colordown)
        self.colordown = r, g, b, alpha

        bcol, ocol, ccol = self.barcollection(
            x, opens, highs, lows, closes,
            width=width, tickwidth=tickwidth,
            label=label,
            **kwargs)

        self.barcol = bcol
        self.opencol = ocol
        self.closecol = ccol

        # add collections to the axis and return them
        ax.add_collection(self.barcol)
        ax.add_collection(self.opencol)
        ax.add_collection(self.closecol)

        # Update the axis
        ax.update_datalim(((0, min(lows)), (len(opens), max(highs))))
        ax.autoscale_view()

        # Add self as legend handler for this object
        mlegend.Legend.update_default_handler_map({self.barcol: self})

    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
        x0 = handlebox.xdescent
        y0 = handlebox.ydescent
        width = handlebox.width / len(self.legend_opens)
        height = handlebox.height

        # Generate the x axis coordinates (handlebox based)
        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_opens))]

        barcol, opencol, closecol = self.barcollection(
            xs,
            self.legend_opens, self.legend_highs,
            self.legend_lows, self.legend_closes,
            width=1.5, tickwidth=2,
            scaling=height, bot=y0)

        barcol.set_transform(handlebox.get_transform())
        handlebox.add_artist(barcol)
        # opencol.set_transform(handlebox.get_transform())
        handlebox.add_artist(opencol)
        # closecol.set_transform(handlebox.get_transform())
        handlebox.add_artist(closecol)

        return barcol, opencol, closecol

    def barcollection(self,
                      xs,
                      opens, highs, lows, closes,
                      width, tickwidth,
                      label='_nolegend',
                      scaling=1.0, bot=0,
                      **kwargs):

        # Prepack different zips of the series values
        ihighlow = lambda: zip(xs, highs, lows)  # NOQA: E731
        iopen = lambda: zip(xs, opens)  # NOQA: E731
        iclose = lambda: zip(xs, closes)  # NOQA: E731
        openclose = lambda: zip(opens, closes)  # NOQA: E731

        colord = {True: self.colorup, False: self.colordown}
        colors = [colord[open < close] for open, close in openclose()]

        # Extra variables for the collections
        useaa = 0,
        lw = width,
        tlw = tickwidth,

        # Calculate the barranges
        def barrange(i, high, low):
            return (i, low * scaling + bot), (i, high * scaling + bot)

        barranges = [barrange(i, high, low) for i, high, low in ihighlow()]

        barcol = mcol.LineCollection(
            barranges,
            colors=colors,
            linewidths=lw,
            antialiaseds=useaa,
            label=label,
            **kwargs)

        def tickopen(i, open):
            open = open * scaling + bot
            return (i - tickwidth, open), (i, open)

        openticks = [tickopen(i, open) for i, open in iopen()]
        opencol = mcol.LineCollection(
            openticks,
            colors=colors,
            antialiaseds=useaa,
            linewidths=tlw,
            label='_nolegend',
            **kwargs)

        def tickclose(i, close):
            close = close * scaling + bot
            return (i, close), (i + tickwidth, close)

        closeticks = [tickclose(i, close) for i, close in iclose()]
        closecol = mcol.LineCollection(
            closeticks,
            colors=colors,
            antialiaseds=useaa,
            linewidths=tlw,
            label='_nolegend',
            **kwargs)

        # return barcol, tickcol
        return barcol, opencol, closecol


def plot_ohlc(ax, x, opens, highs, lows, closes,
              colorup='k', colordown='r',
              width=1.5, tickwidth=0.5,
              alpha=1.0,
              label='_nolegend',
              **kwargs):

    handler = OHLCPlotHandler(
        ax, x, opens, highs, lows, closes,
        colorup, colordown,
        width, tickwidth,
        alpha,
        label,
        **kwargs)

    return handler.barcol, handler.opencol, handler.closecol


class LineOnClosePlotHandler(object):
    legend_closes = [0.00, 0.66, 0.33, 1.00]

    def __init__(self,
                 ax, x, closes, color='k',
                 width=1, alpha=1.0,
                 label='_nolegend',
                 **kwargs):

        self.color = color
        self.alpha = alpha

        self.loc, = self.barcollection(
            x, closes,
            width=width,
            label=label,
            **kwargs)

        # add collections to the axis and return them
        ax.add_line(self.loc)

        # Update the axis
        ax.update_datalim(((x[0], min(closes)), (x[-1], max(closes))))
        ax.autoscale_view()

        # Add self as legend handler for this object
        mlegend.Legend.update_default_handler_map({self.loc: self})

    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
        x0 = handlebox.xdescent
        y0 = handlebox.ydescent
        width = handlebox.width / len(self.legend_closes)
        height = handlebox.height

        # Generate the x axis coordinates (handlebox based)
        xs = [x0 + width * (i + 0.5) for i in range(len(self.legend_closes))]

        linecol, = self.barcollection(
            xs, self.legend_closes,
            width=1.5,
            scaling=height, bot=y0)

        linecol.set_transform(handlebox.get_transform())
        handlebox.add_artist(linecol)

        return linecol,

    def barcollection(self,
                      xs, closes,
                      width,
                      label='_nolegend',
                      scaling=1.0, bot=0,
                      **kwargs):

        # Prepack different zips of the series values
        scaled = [close * scaling + bot for close in closes]

        loc = mlines.Line2D(
            xs, scaled,
            color=self.color,
            lw=width,
            label=label,
            alpha=self.alpha,
            **kwargs)

        return loc,


def plot_lineonclose(ax, x, closes,
                     color='k',
                     width=1.5,
                     alpha=1.0,
                     label='_nolegend',
                     **kwargs):

    handler = LineOnClosePlotHandler(
        ax, x, closes,
        color=color, width=width,
        alpha=alpha, label=label,
        **kwargs)

    return handler.loc,


================================================
FILE: backtrader/plot/formatters.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import matplotlib.dates as mdates
import matplotlib.ticker as mplticker

from ..utils import num2date


class MyVolFormatter(mplticker.Formatter):
    Suffixes = ['', 'K', 'M', 'G', 'T', 'P']

    def __init__(self, volmax):
        self.volmax = volmax
        magnitude = 0
        self.divisor = 1.0
        while abs(volmax / self.divisor) >= 1000:
            magnitude += 1
            self.divisor *= 1000.0

        self.suffix = self.Suffixes[magnitude]

    def __call__(self, y, pos=0):
        '''Return the label for time x at position pos'''

        if y > self.volmax * 1.20:
            return ''

        y = int(y / self.divisor)
        return '%d%s' % (y, self.suffix)


class MyDateFormatter(mplticker.Formatter):
    def __init__(self, dates, fmt='%Y-%m-%d'):
        self.dates = dates
        self.lendates = len(dates)
        self.fmt = fmt

    def __call__(self, x, pos=0):
        '''Return the label for time x at position pos'''
        ind = int(round(x))
        if ind >= self.lendates:
            ind = self.lendates - 1

        if ind < 0:
            ind = 0

        return num2date(self.dates[ind]).strftime(self.fmt)


def patch_locator(locator, xdates):
    def _patched_datalim_to_dt(self):
        dmin, dmax = self.axis.get_data_interval()

        # proxy access to xdates
        dmin, dmax = xdates[int(dmin)], xdates[min(int(dmax), len(xdates) - 1)]

        a, b = num2date(dmin, self.tz), num2date(dmax, self.tz)
        return a, b

    def _patched_viewlim_to_dt(self):
        vmin, vmax = self.axis.get_view_interval()

        # proxy access to xdates
        vmin, vmax = xdates[int(vmin)], xdates[min(int(vmax), len(xdates) - 1)]
        a, b = num2date(vmin, self.tz), num2date(vmax, self.tz)
        return a, b

    # patch the instance with a bound method
    bound_datalim = _patched_datalim_to_dt.__get__(locator, locator.__class__)
    locator.datalim_to_dt = bound_datalim

    # patch the instance with a bound method
    bound_viewlim = _patched_viewlim_to_dt.__get__(locator, locator.__class__)
    locator.viewlim_to_dt = bound_viewlim


def patch_formatter(formatter, xdates):
    def newcall(self, x, pos=0):
        if False and x < 0:
            raise ValueError('DateFormatter found a value of x=0, which is '
                             'an illegal date.  This usually occurs because '
                             'you have not informed the axis that it is '
                             'plotting dates, e.g., with ax.xaxis_date()')

        x = xdates[int(x)]
        dt = num2date(x, self.tz)
        return self.strftime(dt, self.fmt)

    bound_call = newcall.__get__(formatter, formatter.__class__)
    formatter.__call__ = bound_call


def getlocator(xdates, numticks=5, tz=None):
    span = xdates[-1] - xdates[0]

    locator, formatter = mdates.date_ticker_factory(
        span=span,
        tz=tz,
        numticks=numticks)

    patch_locator(locator, xdates)
    patch_formatter(formatter, xdates)
    return locator, formatter


================================================
FILE: backtrader/plot/locator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

'''
Redefine/Override matplotlib locators to make them work with index base x axis
which can be converted from/to dates
'''

import datetime
import warnings

from matplotlib.dates import AutoDateLocator as ADLocator
from matplotlib.dates import RRuleLocator as RRLocator
from matplotlib.dates import AutoDateFormatter as ADFormatter

from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
                              MONTHS_PER_YEAR, DAYS_PER_WEEK,
                              SEC_PER_HOUR, SEC_PER_DAY,
                              num2date, rrulewrapper, YearLocator,
                              MicrosecondLocator)

from dateutil.relativedelta import relativedelta
import numpy as np


def _idx2dt(idx, dates, tz):
    if isinstance(idx, datetime.date):
        return idx

    ldates = len(dates)

    idx = int(round(idx))
    if idx >= ldates:
        idx = ldates - 1
    if idx < 0:
        idx = 0

    return num2date(dates[idx], tz)


class RRuleLocator(RRLocator):

    def __init__(self, dates, o, tz=None):
        self._dates = dates
        super(RRuleLocator, self).__init__(o, tz)

    def datalim_to_dt(self):
        """
        Convert axis data interval to datetime objects.
        """
        dmin, dmax = self.axis.get_data_interval()
        if dmin > dmax:
            dmin, dmax = dmax, dmin

        return (_idx2dt(dmin, self._dates, self.tz),
                _idx2dt(dmax, self._dates, self.tz))

    def viewlim_to_dt(self):
        """
        Converts the view interval to datetime objects.
        """
        vmin, vmax = self.axis.get_view_interval()
        if vmin > vmax:
            vmin, vmax = vmax, vmin

        return (_idx2dt(vmin, self._dates, self.tz),
                _idx2dt(vmax, self._dates, self.tz))

    def tick_values(self, vmin, vmax):
        import bisect
        dtnums = super(RRuleLocator, self).tick_values(vmin, vmax)
        return [bisect.bisect_left(self._dates, x) for x in dtnums]


class AutoDateLocator(ADLocator):

    def __init__(self, dates, *args, **kwargs):
        self._dates = dates
        super(AutoDateLocator, self).__init__(*args, **kwargs)

    def datalim_to_dt(self):
        """
        Convert axis data interval to datetime objects.
        """
        dmin, dmax = self.axis.get_data_interval()
        if dmin > dmax:
            dmin, dmax = dmax, dmin

        return (_idx2dt(dmin, self._dates, self.tz),
                _idx2dt(dmax, self._dates, self.tz))

    def viewlim_to_dt(self):
        """
        Converts the view interval to datetime objects.
        """
        vmin, vmax = self.axis.get_view_interval()
        if vmin > vmax:
            vmin, vmax = vmax, vmin

        return (_idx2dt(vmin, self._dates, self.tz),
                _idx2dt(vmax, self._dates, self.tz))

    def tick_values(self, vmin, vmax):
        import bisect
        dtnums = super(AutoDateLocator, self).tick_values(vmin, vmax)
        return [bisect.bisect_left(self._dates, x) for x in dtnums]

    def get_locator(self, dmin, dmax):
        'Pick the best locator based on a distance.'
        delta = relativedelta(dmax, dmin)
        tdelta = dmax - dmin

        # take absolute difference
        if dmin > dmax:
            delta = -delta
            tdelta = -tdelta

        # The following uses a mix of calls to relativedelta and timedelta
        # methods because there is incomplete overlap in the functionality of
        # these similar functions, and it's best to avoid doing our own math
        # whenever possible.
        numYears = float(delta.years)
        numMonths = (numYears * MONTHS_PER_YEAR) + delta.months
        numDays = tdelta.days   # Avoids estimates of days/month, days/year
        numHours = (numDays * HOURS_PER_DAY) + delta.hours
        numMinutes = (numHours * MIN_PER_HOUR) + delta.minutes
        numSeconds = np.floor(tdelta.total_seconds())
        numMicroseconds = np.floor(tdelta.total_seconds() * 1e6)

        nums = [numYears, numMonths, numDays, numHours, numMinutes,
                numSeconds, numMicroseconds]

        use_rrule_locator = [True] * 6 + [False]

        # Default setting of bymonth, etc. to pass to rrule
        # [unused (for year), bymonth, bymonthday, byhour, byminute,
        #  bysecond, unused (for microseconds)]
        byranges = [None, 1, 1, 0, 0, 0, None]

        usemicro = False  # use as flag to avoid raising an exception

        # Loop over all the frequencies and try to find one that gives at
        # least a minticks tick positions.  Once this is found, look for
        # an interval from an list specific to that frequency that gives no
        # more than maxticks tick positions. Also, set up some ranges
        # (bymonth, etc.) as appropriate to be passed to rrulewrapper.
        for i, (freq, num) in enumerate(zip(self._freqs, nums)):
            # If this particular frequency doesn't give enough ticks, continue
            if num < self.minticks:
                # Since we're not using this particular frequency, set
                # the corresponding by_ to None so the rrule can act as
                # appropriate
                byranges[i] = None
                continue

            # Find the first available interval that doesn't give too many
            # ticks
            for interval in self.intervald[freq]:
                if num <= interval * (self.maxticks[freq] - 1):
                    break
            else:
                # We went through the whole loop without breaking, default to
                # the last interval in the list and raise a warning
                warnings.warn('AutoDateLocator was unable to pick an '
                              'appropriate interval for this date range. '
                              'It may be necessary to add an interval value '
                              "to the AutoDateLocator's intervald dictionary."
                              ' Defaulting to {0}.'.format(interval))

            # Set some parameters as appropriate
            self._freq = freq

            if self._byranges[i] and self.interval_multiples:
                byranges[i] = self._byranges[i][::interval]
                interval = 1
            else:
                byranges[i] = self._byranges[i]

            # We found what frequency to use
            break
        else:
            if False:
                raise ValueError(
                    'No sensible date limit could be found in the '
                    'AutoDateLocator.')
            else:
                usemicro = True

        if not usemicro and use_rrule_locator[i]:
            _, bymonth, bymonthday, byhour, byminute, bysecond, _ = byranges

            rrule = rrulewrapper(self._freq, interval=interval,
                                 dtstart=dmin, until=dmax,
                                 bymonth=bymonth, bymonthday=bymonthday,
                                 byhour=byhour, byminute=byminute,
                                 bysecond=bysecond)

            locator = RRuleLocator(self._dates, rrule, self.tz)
        else:
            if usemicro:
                interval = 1  # not set because the for else: was met
            locator = MicrosecondLocator(interval, tz=self.tz)

        locator.set_axis(self.axis)

        try:
            # try for matplotlib < 3.6.0
            locator.set_view_interval(*self.axis.get_view_interval())
            locator.set_data_interval(*self.axis.get_data_interval())
        except Exception as e:
            try:
                # try for matplotlib >= 3.6.0
                self.axis.set_view_interval(*self.axis.get_view_interval())
                self.axis.set_data_interval(*self.axis.get_data_interval())
                locator.set_axis(self.axis)
            except Exception as e:
                print("Error:", e)

        return locator


class AutoDateFormatter(ADFormatter):
    def __init__(self, dates, locator, tz=None, defaultfmt='%Y-%m-%d'):
        self._dates = dates
        super(AutoDateFormatter, self).__init__(locator, tz, defaultfmt)

    def __call__(self, x, pos=None):
        '''Return the label for time x at position pos'''
        x = int(round(x))
        ldates = len(self._dates)
        if x >= ldates:
            x = ldates - 1

        if x < 0:
            x = 0

        ix = self._dates[x]

        return super(AutoDateFormatter, self).__call__(ix, pos)


================================================
FILE: backtrader/plot/multicursor.py
================================================
# LICENSE AGREEMENT FOR MATPLOTLIB 1.2.0
# --------------------------------------
#
# 1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
# Individual or Organization ("Licensee") accessing and otherwise using
# matplotlib software in source or binary form and its associated
# documentation.
#
# 2. Subject to the terms and conditions of this License Agreement, JDH
# hereby grants Licensee a nonexclusive, royalty-free, world-wide license
# to reproduce, analyze, test, perform and/or display publicly, prepare
# derivative works, distribute, and otherwise use matplotlib 1.2.0
# alone or in any derivative version, provided, however, that JDH's
# License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
# 2002-2011 John D. Hunter; All Rights Reserved" are retained in
# matplotlib 1.2.0 alone or in any derivative version prepared by
# Licensee.
#
# 3. In the event Licensee prepares a derivative work that is based on or
# incorporates matplotlib 1.2.0 or any part thereof, and wants to
# make the derivative work available to others as provided herein, then
# Licensee hereby agrees to include in any such work a brief summary of
# the changes made to matplotlib 1.2.0.
#
# 4. JDH is making matplotlib 1.2.0 available to Licensee on an "AS
# IS" basis.  JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
# IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
# DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
# FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB 1.2.0
# WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
#
# 5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
# 1.2.0 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
# LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
# MATPLOTLIB 1.2.0, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
# THE POSSIBILITY THEREOF.

# 6. This License Agreement will automatically terminate upon a material
# breach of its terms and conditions.
#
# 7. Nothing in this License Agreement shall be deemed to create any
# relationship of agency, partnership, or joint venture between JDH and
# Licensee.  This License Agreement does not grant permission to use JDH
# trademarks or trade name in a trademark sense to endorse or promote
# products or services of Licensee, or any third party.
#
# 8. By copying, installing or otherwise using matplotlib 1.2.0,
# Licensee agrees to be bound by the terms and conditions of this License
# Agreement.

# CHANGES
# The original MultiCursor plots all horizontal lines at the same time
# The modified version plots only the horizontal line in the axis in which the
# motion event takes place
#
# The original MultiCursos uses the ylimit of the las passed axis, to calculate
# the mid point of the axis. which creates a huge distorsion if all axis don't
# have the same y dimensions
#
# The modified version uses the y limits of each axis to calculate the initial
# position of each line avoiding the distorsion

from ..utils.py3 import zip

class Widget(object):
    """
    Abstract base class for GUI neutral widgets
    """
    drawon = True
    eventson = True
    _active = True

    def set_active(self, active):
        """Set whether the widget is active.
        """
        self._active = active

    def get_active(self):
        """Get whether the widget is active.
        """
        return self._active

    # set_active is overriden by SelectorWidgets.
    active = property(get_active, lambda self, active: self.set_active(active),
                      doc="Is the widget active?")

    def ignore(self, event):
        """Return True if event should be ignored.
        This method (or a version of it) should be called at the beginning
        of any event callback.
        """
        return not self.active


class MultiCursor(Widget):
    """
    Provide a vertical (default) and/or horizontal line cursor shared between
    multiple axes.

    For the cursor to remain responsive you much keep a reference to
    it.

    Example usage::

        from matplotlib.widgets import MultiCursor
        from pylab import figure, show, np

        t = np.arange(0.0, 2.0, 0.01)
        s1 = np.sin(2*np.pi*t)
        s2 = np.sin(4*np.pi*t)
        fig = figure()
        ax1 = fig.add_subplot(211)
        ax1.plot(t, s1)


        ax2 = fig.add_subplot(212, sharex=ax1)
        ax2.plot(t, s2)

        multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,
                            horizOn=False, vertOn=True)
        show()

    """
    def __init__(self, canvas, axes, useblit=True,
                 horizOn=False, vertOn=True,
                 horizMulti=False, vertMulti=True,
                 horizShared=True, vertShared=False,
                 **lineprops):

        self.canvas = canvas
        self.axes = axes
        self.horizOn = horizOn
        self.vertOn = vertOn
        self.horizMulti = horizMulti
        self.vertMulti = vertMulti

        self.visible = True
        self.useblit = useblit and self.canvas.supports_blit
        self.background = None
        self.needclear = False

        if self.useblit:
            lineprops['animated'] = True

        self.vlines = []
        if vertOn:
            xmin, xmax = axes[-1].get_xlim()
            xmid = 0.5 * (xmin + xmax)

            for ax in axes:
                if not horizShared:
                    xmin, xmax = ax.get_xlim()
                    xmid = 0.5 * (xmin + xmax)

                vline = ax.axvline(xmid, visible=False, **lineprops)
                self.vlines.append(vline)

        self.hlines = []
        if horizOn:
            ymin, ymax = axes[-1].get_ylim()
            ymid = 0.5 * (ymin + ymax)

            for ax in axes:
                if not vertShared:
                    ymin, ymax = ax.get_ylim()
                    ymid = 0.5 * (ymin + ymax)

                hline = ax.axhline(ymid, visible=False, **lineprops)
                self.hlines.append(hline)

        self.connect()

    def connect(self):
        """connect events"""
        self._cidmotion = self.canvas.mpl_connect('motion_notify_event',
                                                  self.onmove)
        self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear)

    def disconnect(self):
        """disconnect events"""
        self.canvas.mpl_disconnect(self._cidmotion)
        self.canvas.mpl_disconnect(self._ciddraw)

    def clear(self, event):
        """clear the cursor"""
        if self.ignore(event):
            return
        if self.useblit:
            self.background = (
                self.canvas.copy_from_bbox(self.canvas.figure.bbox))
        for line in self.vlines + self.hlines:
            line.set_visible(False)

    def onmove(self, event):
        if self.ignore(event):
            return
        if event.inaxes is None:
            return
        if not self.canvas.widgetlock.available(self):
            return
        self.needclear = True
        if not self.visible:
            return
        if self.vertOn:
            for line in self.vlines:
                visible = self.visible
                if not self.vertMulti:
                    visible = visible and line.axes == event.inaxes

                if visible:
                    line.set_xdata((event.xdata, event.xdata))
                    line.set_visible(visible)
        if self.horizOn:
            for line in self.hlines:
                visible = self.visible
                if not self.horizMulti:
                    visible = visible and line.axes == event.inaxes
                if visible:
                    line.set_ydata((event.ydata, event.ydata))
                    line.set_visible(self.visible)
        self._update(event)

    def _update(self, event):
        if self.useblit:
            if self.background is not None:
                self.canvas.restore_region(self.background)
            if self.vertOn:
                for ax, line in zip(self.axes, self.vlines):
                    if self.vertMulti or event.inaxes == line.axes:
                        ax.draw_artist(line)

            if self.horizOn:
                for ax, line in zip(self.axes, self.hlines):
                    if self.horizMulti or event.inaxes == line.axes:
                        ax.draw_artist(line)
            self.canvas.blit(self.canvas.figure.bbox)
        else:
            self.canvas.draw_idle()

class MultiCursor2(Widget):
    """
    Provide a vertical (default) and/or horizontal line cursor shared between
    multiple axes.
    For the cursor to remain responsive you much keep a reference to
    it.
    Example usage::
        from matplotlib.widgets import MultiCursor
        from pylab import figure, show, np
        t = np.arange(0.0, 2.0, 0.01)
        s1 = np.sin(2*np.pi*t)
        s2 = np.sin(4*np.pi*t)
        fig = figure()
        ax1 = fig.add_subplot(211)
        ax1.plot(t, s1)
        ax2 = fig.add_subplot(212, sharex=ax1)
        ax2.plot(t, s2)
        multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,
                            horizOn=False, vertOn=True)
        show()
    """
    def __init__(self, canvas, axes, useblit=True, horizOn=False, vertOn=True,
                 **lineprops):

        self.canvas = canvas
        self.axes = axes
        self.horizOn = horizOn
        self.vertOn = vertOn

        xmin, xmax = axes[-1].get_xlim()
        xmid = 0.5 * (xmin + xmax)

        self.visible = True
        self.useblit = useblit and self.canvas.supports_blit
        self.background = None
        self.needclear = False

        if self.useblit:
            lineprops['animated'] = True

        if vertOn:
            self.vlines = [ax.axvline(xmid, visible=False, **lineprops)
                           for ax in axes]
        else:
            self.vlines = []

        if horizOn:
            self.hlines = []
            for ax in axes:
                ymin, ymax = ax.get_ylim()
                ymid = 0.5 * (ymin + ymax)
                hline = ax.axhline(ymid, visible=False, **lineprops)
                self.hlines.append(hline)
        else:
            self.hlines = []

        self.connect()

    def connect(self):
        """connect events"""
        self._cidmotion = self.canvas.mpl_connect('motion_notify_event',
                                                  self.onmove)
        self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear)

    def disconnect(self):
        """disconnect events"""
        self.canvas.mpl_disconnect(self._cidmotion)
        self.canvas.mpl_disconnect(self._ciddraw)

    def clear(self, event):
        """clear the cursor"""
        if self.ignore(event):
            return
        if self.useblit:
            self.background = (
                self.canvas.copy_from_bbox(self.canvas.figure.bbox))
        for line in self.vlines + self.hlines:
            line.set_visible(False)

    def onmove(self, event):
        if self.ignore(event):
            return
        if event.inaxes is None:
            return

        if not self.canvas.widgetlock.available(self):
            return
        self.needclear = True
        if not self.visible:
            return
        if self.vertOn:
            for line in self.vlines:
                visible = True or line.axes == event.inaxes
                line.set_xdata((event.xdata, event.xdata))
                line.set_visible(visible)
        if self.horizOn:
            for line in self.hlines:
                visible = line.axes == event.inaxes
                line.set_ydata((event.ydata, event.ydata))
                line.set_visible(visible)
        self._update(event)

    def _update(self, event):
        if self.useblit:
            if self.background is not None:
                self.canvas.restore_region(self.background)
            if self.vertOn:
                for ax, line in zip(self.axes, self.vlines):
                    ax.draw_artist(line)
            if self.horizOn:
                for ax, line in zip(self.axes, self.hlines):
                    ax.draw_artist(line)
            self.canvas.blit(self.canvas.figure.bbox)
        else:
            self.canvas.draw_idle()


================================================
FILE: backtrader/plot/plot.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import bisect
import collections
import datetime
import itertools
import math
import operator
import sys

import matplotlib
import numpy as np  # guaranteed by matplotlib
import matplotlib.dates as mdates
import matplotlib.font_manager as mfontmgr
import matplotlib.legend as mlegend
import matplotlib.ticker as mticker

from ..utils.py3 import range, with_metaclass, string_types, integer_types
from .. import AutoInfoClass, MetaParams, TimeFrame, date2num

from .finance import plot_candlestick, plot_ohlc, plot_volume, plot_lineonclose
from .formatters import (MyVolFormatter, MyDateFormatter, getlocator)
from . import locator as loc
from .multicursor import MultiCursor
from .scheme import PlotScheme
from .utils import tag_box_style


class PInfo(object):
    def __init__(self, sch):
        self.sch = sch
        self.nrows = 0
        self.row = 0
        self.clock = None
        self.x = None
        self.xlen = 0
        self.sharex = None
        self.figs = list()
        self.cursors = list()
        self.daxis = collections.OrderedDict()
        self.vaxis = list()
        self.zorder = dict()
        self.coloridx = collections.defaultdict(lambda: -1)
        self.handles = collections.defaultdict(list)
        self.labels = collections.defaultdict(list)
        self.legpos = collections.defaultdict(int)

        self.prop = mfontmgr.FontProperties(size=self.sch.subtxtsize)

    def newfig(self, figid, numfig, mpyplot):
        fig = mpyplot.figure(figid + numfig)
        self.figs.append(fig)
        self.daxis = collections.OrderedDict()
        self.vaxis = list()
        self.row = 0
        self.sharex = None
        return fig

    def nextcolor(self, ax):
        self.coloridx[ax] += 1
        return self.coloridx[ax]

    def color(self, ax):
        return self.sch.color(self.coloridx[ax])

    def zordernext(self, ax):
        z = self.zorder[ax]
        if self.sch.zdown:
            return z * 0.9999
        return z * 1.0001

    def zordercur(self, ax):
        return self.zorder[ax]


class Plot_OldSync(with_metaclass(MetaParams, object)):
    params = (('scheme', PlotScheme()),)

    def __init__(self, **kwargs):
        for pname, pvalue in kwargs.items():
            setattr(self.p.scheme, pname, pvalue)
        if not hasattr(self.p.scheme, 'locbg'):
            setattr(self.p.scheme, 'locbg', 'white')
            setattr(self.p.scheme, 'locbgother', 'white')

    def drawtag(self, ax, x, y, facecolor, edgecolor, alpha=0.9, **kwargs):

        txt = ax.text(x, y, '%.2f' % y, va='center', ha='left',
                      fontsize=self.pinf.sch.subtxtsize,
                      bbox=dict(boxstyle=tag_box_style,
                                facecolor=facecolor,
                                edgecolor=edgecolor,
                                alpha=alpha),
                      # 3.0 is the minimum default for text
                      zorder=self.pinf.zorder[ax] + 3.0,
                      **kwargs)

    def plot(self, strategy, figid=0, numfigs=1, iplot=True,
             start=None, end=None, **kwargs):
        # pfillers={}):
        if not strategy.datas:
            return

        if not len(strategy):
            return

        if iplot:
            if 'ipykernel' in sys.modules:
                matplotlib.use('nbagg')

        # this import must not happen before matplotlib.use
        import matplotlib.pyplot as mpyplot
        self.mpyplot = mpyplot

        self.pinf = PInfo(self.p.scheme)
        self.sortdataindicators(strategy)
        self.calcrows(strategy)

        st_dtime = strategy.lines.datetime.plot()
        if start is None:
            start = 0
        if end is None:
            end = len(st_dtime)

        if isinstance(start, datetime.date):
            start = bisect.bisect_left(st_dtime, date2num(start))

        if isinstance(end, datetime.date):
            end = bisect.bisect_right(st_dtime, date2num(end))

        if end < 0:
            end = len(st_dtime) + 1 + end  # -1 =  len() -2 = len() - 1

        slen = len(st_dtime[start:end])
        d, m = divmod(slen, numfigs)
        pranges = list()
        for i in range(numfigs):
            a = d * i + start
            if i == (numfigs - 1):
                d += m  # add remainder to last stint
            b = a + d

            pranges.append([a, b, d])

        figs = []

        for numfig in range(numfigs):
            # prepare a figure
            fig = self.pinf.newfig(figid, numfig, self.mpyplot)
            figs.append(fig)

            self.pinf.pstart, self.pinf.pend, self.pinf.psize = pranges[numfig]
            self.pinf.xstart = self.pinf.pstart
            self.pinf.xend = self.pinf.pend

            self.pinf.clock = strategy
            self.pinf.xreal = self.pinf.clock.datetime.plot(
                self.pinf.pstart, self.pinf.psize)
            self.pinf.xlen = len(self.pinf.xreal)
            self.pinf.x = list(range(self.pinf.xlen))
            # self.pinf.pfillers = {None: []}
            # for key, val in pfillers.items():
            #     pfstart = bisect.bisect_left(val, self.pinf.pstart)
            #     pfend = bisect.bisect_right(val, self.pinf.pend)
            #     self.pinf.pfillers[key] = val[pfstart:pfend]

            # Do the plotting
            # Things that go always at the top (observers)
            self.pinf.xdata = self.pinf.x
            for ptop in self.dplotstop:
                self.plotind(None, ptop, subinds=self.dplotsover[ptop])

            # Create the rest on a per data basis
            dt0, dt1 = self.pinf.xreal[0], self.pinf.xreal[-1]
            for data in strategy.datas:
                if not data.plotinfo.plot:
                    continue

                self.pinf.xdata = self.pinf.x
                xd = data.datetime.plotrange(self.pinf.xstart, self.pinf.xend)
                if len(xd) < self.pinf.xlen:
                    self.pinf.xdata = xdata = []
                    xreal = self.pinf.xreal
                    dts = data.datetime.plot()
                    xtemp = list()
                    for dt in (x for x in dts if dt0 <= x <= dt1):
                        dtidx = bisect.bisect_left(xreal, dt)
                        xdata.append(dtidx)
                        xtemp.append(dt)

                    self.pinf.xstart = bisect.bisect_left(dts, xtemp[0])
                    self.pinf.xend = bisect.bisect_right(dts, xtemp[-1])

                for ind in self.dplotsup[data]:
                    self.plotind(
                        data,
                        ind,
                        subinds=self.dplotsover[ind],
                        upinds=self.dplotsup[ind],
                        downinds=self.dplotsdown[ind])

                self.plotdata(data, self.dplotsover[data])

                for ind in self.dplotsdown[data]:
                    self.plotind(
                        data,
                        ind,
                        subinds=self.dplotsover[ind],
                        upinds=self.dplotsup[ind],
                        downinds=self.dplotsdown[ind])

            cursor = MultiCursor(
                fig.canvas, list(self.pinf.daxis.values()),
                useblit=True,
                horizOn=True, vertOn=True,
                horizMulti=False, vertMulti=True,
                horizShared=True, vertShared=False,
                color='black', lw=1, ls=':')

            self.pinf.cursors.append(cursor)

            # Put the subplots as indicated by hspace
            fig.subplots_adjust(hspace=self.pinf.sch.plotdist,
                                top=0.98, left=0.05, bottom=0.05, right=0.95)

            laxis = list(self.pinf.daxis.values())

            # Find last axis which is not a twinx (date locator fails there)
            i = -1
            while True:
                lastax = laxis[i]
                if lastax not in self.pinf.vaxis:
                    break

                i -= 1

            self.setlocators(lastax)  # place the locators/fmts

            # Applying fig.autofmt_xdate if the data axis is the last one
            # breaks the presentation of the date labels. why?
            # Applying the manual rotation with setp cures the problem
            # but the labels from all axis but the last have to be hidden
            for ax in laxis:
                self.mpyplot.setp(ax.get_xticklabels(), visible=False)

            self.mpyplot.setp(lastax.get_xticklabels(), visible=True,
                              rotation=self.pinf.sch.tickrotation)

            # Things must be tight along the x axis (to fill both ends)
            axtight = 'x' if not self.pinf.sch.ytight else 'both'
            self.mpyplot.autoscale(enable=True, axis=axtight, tight=True)

        return figs

    def setlocators(self, ax):
        clock = sorted(self.pinf.clock.datas,
                       key=lambda x: (x._timeframe, x._compression))[0]

        comp = getattr(clock, '_compression', 1)
        tframe = getattr(clock, '_timeframe', TimeFrame.Days)

        if self.pinf.sch.fmt_x_data is None:
            if tframe == TimeFrame.Years:
                fmtdata = '%Y'
            elif tframe == TimeFrame.Months:
                fmtdata = '%Y-%m'
            elif tframe == TimeFrame.Weeks:
                fmtdata = '%Y-%m-%d'
            elif tframe == TimeFrame.Days:
                fmtdata = '%Y-%m-%d'
            elif tframe == TimeFrame.Minutes:
                fmtdata = '%Y-%m-%d %H:%M'
            elif tframe == TimeFrame.Seconds:
                fmtdata = '%Y-%m-%d %H:%M:%S'
            elif tframe == TimeFrame.MicroSeconds:
                fmtdata = '%Y-%m-%d %H:%M:%S.%f'
            elif tframe == TimeFrame.Ticks:
                fmtdata = '%Y-%m-%d %H:%M:%S.%f'
        else:
            fmtdata = self.pinf.sch.fmt_x_data

        fordata = MyDateFormatter(self.pinf.xreal, fmt=fmtdata)
        for dax in self.pinf.daxis.values():
            dax.fmt_xdata = fordata

        # Major locator / formatter
        locmajor = loc.AutoDateLocator(self.pinf.xreal)
        ax.xaxis.set_major_locator(locmajor)
        if self.pinf.sch.fmt_x_ticks is None:
            autofmt = loc.AutoDateFormatter(self.pinf.xreal, locmajor)
        else:
            autofmt = MyDateFormatter(self.pinf.xreal,
                                      fmt=self.pinf.sch.fmt_x_ticks)
        ax.xaxis.set_major_formatter(autofmt)

    def calcrows(self, strategy):
        # Calculate the total number of rows
        rowsmajor = self.pinf.sch.rowsmajor
        rowsminor = self.pinf.sch.rowsminor
        nrows = 0

        datasnoplot = 0
        for data in strategy.datas:
            if not data.plotinfo.plot:
                # neither data nor indicators nor volume add rows
                datasnoplot += 1
                self.dplotsup.pop(data, None)
                self.dplotsdown.pop(data, None)
                self.dplotsover.pop(data, None)

            else:
                pmaster = data.plotinfo.plotmaster
                if pmaster is data:
                    pmaster = None
                if pmaster is not None:
                    # data doesn't add a row, but volume may
                    if self.pinf.sch.volume:
                        nrows += rowsminor
                else:
                    # data adds rows, volume may
                    nrows += rowsmajor
                    if self.pinf.sch.volume and not self.pinf.sch.voloverlay:
                        nrows += rowsminor

        if False:
            # Datas and volumes
            nrows += (len(strategy.datas) - datasnoplot) * rowsmajor
            if self.pinf.sch.volume and not self.pinf.sch.voloverlay:
                nrows += (len(strategy.datas) - datasnoplot) * rowsminor

        # top indicators/observers
        nrows += len(self.dplotstop) * rowsminor

        # indicators above datas
        nrows += sum(len(v) for v in self.dplotsup.values())
        nrows += sum(len(v) for v in self.dplotsdown.values())

        self.pinf.nrows = nrows

    def newaxis(self, obj, rowspan):
        ax = self.mpyplot.subplot2grid(
            (self.pinf.nrows, 1), (self.pinf.row, 0),
            rowspan=rowspan, sharex=self.pinf.sharex)

        # update the sharex information if not available
        if self.pinf.sharex is None:
            self.pinf.sharex = ax

        # update the row index with the taken rows
        self.pinf.row += rowspan

        # save the mapping indicator - axis and return
        self.pinf.daxis[obj] = ax

        # Activate grid in all axes if requested
        ax.yaxis.tick_right()
        ax.grid(self.pinf.sch.grid, which='both')

        return ax

    def plotind(self, iref, ind,
                subinds=None, upinds=None, downinds=None,
                masterax=None):

        sch = self.p.scheme

        # check subind
        subinds = subinds or []
        upinds = upinds or []
        downinds = downinds or []

        # plot subindicators on self with independent axis above
        for upind in upinds:
            self.plotind(iref, upind)

        # Get an axis for this plot
        ax = masterax or self.newaxis(ind, rowspan=self.pinf.sch.rowsminor)

        indlabel = ind.plotlabel()

        # Scan lines quickly to find out if some lines have to be skipped for
        # legend (because matplotlib reorders the legend)
        toskip = 0
        for lineidx in range(ind.size()):
            line = ind.lines[lineidx]
            linealias = ind.lines._getlinealias(lineidx)
            lineplotinfo = getattr(ind.plotlines, '_%d' % lineidx, None)
            if not lineplotinfo:
                lineplotinfo = getattr(ind.plotlines, linealias, None)
            if not lineplotinfo:
                lineplotinfo = AutoInfoClass()
            pltmethod = lineplotinfo._get('_method', 'plot')
            if pltmethod != 'plot':
                toskip += 1 - lineplotinfo._get('_plotskip', False)

        if toskip >= ind.size():
            toskip = 0

        for lineidx in range(ind.size()):
            line = ind.lines[lineidx]
            linealias = ind.lines._getlinealias(lineidx)

            lineplotinfo = getattr(ind.plotlines, '_%d' % lineidx, None)
            if not lineplotinfo:
                lineplotinfo = getattr(ind.plotlines, linealias, None)

            if not lineplotinfo:
                lineplotinfo = AutoInfoClass()

            if lineplotinfo._get('_plotskip', False):
                continue

            # Legend label only when plotting 1st line
            if masterax and not ind.plotinfo.plotlinelabels:
                label = indlabel * (not toskip) or '_nolegend'
            else:
                label = (indlabel + '\n') * (not toskip)
                label += lineplotinfo._get('_name', '') or linealias

            toskip -= 1  # one line less until legend can be added

            # plot data
            lplot = line.plotrange(self.pinf.xstart, self.pinf.xend)

            # Global and generic for indicator
            if self.pinf.sch.linevalues and ind.plotinfo.plotlinevalues:
                plotlinevalue = lineplotinfo._get('_plotvalue', True)
                if plotlinevalue and not math.isnan(lplot[-1]):
                    label += ' %.2f' % lplot[-1]

            plotkwargs = dict()
            linekwargs = lineplotinfo._getkwargs(skip_=True)

            if linekwargs.get('color', None) is None:
                if not lineplotinfo._get('_samecolor', False):
                    self.pinf.nextcolor(ax)
                plotkwargs['color'] = self.pinf.color(ax)

            plotkwargs.update(dict(aa=True, label=label))
            plotkwargs.update(**linekwargs)

            if ax in self.pinf.zorder:
                plotkwargs['zorder'] = self.pinf.zordernext(ax)

            pltmethod = getattr(ax, lineplotinfo._get('_method', 'plot'))

            xdata, lplotarray = self.pinf.xdata, lplot
            if lineplotinfo._get('_skipnan', False):
                # Get the full array and a mask to skipnan
                lplotarray = np.array(lplot)
                lplotmask = np.isfinite(lplotarray)

                # Get both the axis and the data masked
                lplotarray = lplotarray[lplotmask]
                xdata = np.array(xdata)[lplotmask]

            plottedline = pltmethod(xdata, lplotarray, **plotkwargs)
            try:
                plottedline = plottedline[0]
            except:
                # Possibly a container of artists (when plotting bars)
                pass

            self.pinf.zorder[ax] = plottedline.get_zorder()

            vtags = lineplotinfo._get('plotvaluetags', True)
            if self.pinf.sch.valuetags and vtags:
                linetag = lineplotinfo._get('_plotvaluetag', True)
                if linetag and not math.isnan(lplot[-1]):
                    # line has valid values, plot a tag for the last value
                    self.drawtag(ax, len(self.pinf.xreal), lplot[-1],
                                 facecolor=self.pinf.sch.locbgother,
                                 edgecolor=self.pinf.color(ax))

            farts = (('_gt', operator.gt), ('_lt', operator.lt), ('', None),)
            for fcmp, fop in farts:
                fattr = '_fill' + fcmp
                fref, fcol = lineplotinfo._get(fattr, (None, None))
                if fref is not None:
                    y1 = np.array(lplot)
                    if isinstance(fref, integer_types):
                        y2 = np.full_like(y1, fref)
                    else:  # string, naming a line, nothing else is supported
                        l2 = getattr(ind, fref)
                        prl2 = l2.plotrange(self.pinf.xstart, self.pinf.xend)
                        y2 = np.array(prl2)
                    kwargs = dict()
                    if fop is not None:
                        kwargs['where'] = fop(y1, y2)

                    falpha = self.pinf.sch.fillalpha
                    if isinstance(fcol, (list, tuple)):
                        fcol, falpha = fcol

                    ax.fill_between(self.pinf.xdata, y1, y2,
                                    facecolor=fcol,
                                    alpha=falpha,
                                    interpolate=True,
                                    **kwargs)

        # plot subindicators that were created on self
        for subind in subinds:
            self.plotind(iref, subind, subinds=self.dplotsover[subind],
                         masterax=ax)

        if not masterax:
            # adjust margin if requested ... general of particular
            ymargin = ind.plotinfo._get('plotymargin', 0.0)
            ymargin = max(ymargin, self.pinf.sch.yadjust)
            if ymargin:
                ax.margins(y=ymargin)

            # Set specific or generic ticks
            yticks = ind.plotinfo._get('plotyticks', [])
            if not yticks:
                yticks = ind.plotinfo._get('plotyhlines', [])

            if yticks:
                ax.set_yticks(yticks)
            else:
                locator = mticker.MaxNLocator(nbins=4, prune='both')
                ax.yaxis.set_major_locator(locator)

            # Set specific hlines if asked to
            hlines = ind.plotinfo._get('plothlines', [])
            if not hlines:
                hlines = ind.plotinfo._get('plotyhlines', [])
            for hline in hlines:
                ax.axhline(hline, color=self.pinf.sch.hlinescolor,
                           ls=self.pinf.sch.hlinesstyle,
                           lw=self.pinf.sch.hlineswidth)

            if self.pinf.sch.legendind and \
               ind.plotinfo._get('plotlegend', True):

                handles, labels = ax.get_legend_handles_labels()
                # Ensure that we have something to show
                if labels:
                    # location can come from the user
                    loc = ind.plotinfo.legendloc or self.pinf.sch.legendindloc

                    # Legend done here to ensure it includes all plots
                    legend = ax.legend(loc=loc,
                                       numpoints=1, frameon=False,
                                       shadow=False, fancybox=False,
                                       prop=self.pinf.prop)

                    # legend.set_title(indlabel, prop=self.pinf.prop)
                    # hack: if title is set. legend has a Vbox for the labels
                    # which has a default "center" set
                    legend._legend_box.align = 'left'

        # plot subindicators on self with independent axis below
        for downind in downinds:
            self.plotind(iref, downind)

    def plotvolume(self, data, opens, highs, lows, closes, volumes, label):
        pmaster = data.plotinfo.plotmaster
        if pmaster is data:
            pmaster = None
        voloverlay = (self.pinf.sch.voloverlay and pmaster is None)

        # if sefl.pinf.sch.voloverlay:
        if voloverlay:
            rowspan = self.pinf.sch.rowsmajor
        else:
            rowspan = self.pinf.sch.rowsminor

        ax = self.newaxis(data.volume, rowspan=rowspan)

        # if self.pinf.sch.voloverlay:
        if voloverlay:
            volalpha = self.pinf.sch.voltrans
        else:
            volalpha = 1.0

        maxvol = volylim = max(volumes)
        if maxvol:

            # Plot the volume (no matter if as overlay or standalone)
            vollabel = label
            volplot, = plot_volume(ax, self.pinf.xdata, opens, closes, volumes,
                                   colorup=self.pinf.sch.volup,
                                   colordown=self.pinf.sch.voldown,
                                   alpha=volalpha, label=vollabel)

            nbins = 6
            prune = 'both'
            # if self.pinf.sch.voloverlay:
            if voloverlay:
                # store for a potential plot over it
                nbins = int(nbins / self.pinf.sch.volscaling)
                prune = None

                volylim /= self.pinf.sch.volscaling
                ax.set_ylim(0, volylim, auto=True)
            else:
                # plot a legend
                handles, labels = ax.get_legend_handles_labels()
                if handles:

                    # location can come from the user
                    loc = data.plotinfo.legendloc or self.pinf.sch.legendindloc

                    # Legend done here to ensure it includes all plots
                    legend = ax.legend(loc=loc,
                                       numpoints=1, frameon=False,
                                       shadow=False, fancybox=False,
                                       prop=self.pinf.prop)

            locator = mticker.MaxNLocator(nbins=nbins, prune=prune)
            ax.yaxis.set_major_locator(locator)
            ax.yaxis.set_major_formatter(MyVolFormatter(maxvol))

        if not maxvol:
            ax.set_yticks([])
            return None

        return volplot

    def plotdata(self, data, indicators):
        for ind in indicators:
            upinds = self.dplotsup[ind]
            for upind in upinds:
                self.plotind(data, upind,
                             subinds=self.dplotsover[upind],
                             upinds=self.dplotsup[upind],
                             downinds=self.dplotsdown[upind])

        opens = data.open.plotrange(self.pinf.xstart, self.pinf.xend)
        highs = data.high.plotrange(self.pinf.xstart, self.pinf.xend)
        lows = data.low.plotrange(self.pinf.xstart, self.pinf.xend)
        closes = data.close.plotrange(self.pinf.xstart, self.pinf.xend)
        volumes = data.volume.plotrange(self.pinf.xstart, self.pinf.xend)

        vollabel = 'Volume'
        pmaster = data.plotinfo.plotmaster
        if pmaster is data:
            pmaster = None

        datalabel = ''
        if hasattr(data, '_name') and data._name:
            datalabel += data._name

        voloverlay = (self.pinf.sch.voloverlay and pmaster is None)

        if not voloverlay:
            vollabel += ' ({})'.format(datalabel)

        # if self.pinf.sch.volume and self.pinf.sch.voloverlay:
        axdatamaster = None
        if self.pinf.sch.volume and voloverlay:
            volplot = self.plotvolume(
                data, opens, highs, lows, closes, volumes, vollabel)
            axvol = self.pinf.daxis[data.volume]
            ax = axvol.twinx()
            self.pinf.daxis[data] = ax
            self.pinf.vaxis.append(ax)
        else:
            if pmaster is None:
                ax = self.newaxis(data, rowspan=self.pinf.sch.rowsmajor)
            elif getattr(data.plotinfo, 'sameaxis', False):
                axdatamaster = self.pinf.daxis[pmaster]
                ax = axdatamaster
            else:
                axdatamaster = self.pinf.daxis[pmaster]
                ax = axdatamaster.twinx()
                self.pinf.vaxis.append(ax)

        if hasattr(data, '_compression') and \
           hasattr(data, '_timeframe'):
            tfname = TimeFrame.getname(data._timeframe, data._compression)
            datalabel += ' (%d %s)' % (data._compression, tfname)

        plinevalues = getattr(data.plotinfo, 'plotlinevalues', True)
        if self.pinf.sch.style.startswith('line'):
            if self.pinf.sch.linevalues and plinevalues:
                datalabel += ' C:%.2f' % closes[-1]

            if axdatamaster is None:
                color = self.pinf.sch.loc
            else:
                self.pinf.nextcolor(axdatamaster)
                color = self.pinf.color(axdatamaster)

            plotted = plot_lineonclose(
                ax, self.pinf.xdata, closes,
                color=color, label=datalabel)
        else:
            if self.pinf.sch.linevalues and plinevalues:
                datalabel += ' O:%.2f H:%.2f L:%.2f C:%.2f' % \
                             (opens[-1], highs[-1], lows[-1], closes[-1])
            if self.pinf.sch.style.startswith('candle'):
                plotted = plot_candlestick(
                    ax, self.pinf.xdata, opens, highs, lows, closes,
                    colorup=self.pinf.sch.barup,
                    colordown=self.pinf.sch.bardown,
                    label=datalabel,
                    alpha=self.pinf.sch.baralpha,
                    fillup=self.pinf.sch.barupfill,
                    filldown=self.pinf.sch.bardownfill)

            elif self.pinf.sch.style.startswith('bar') or True:
                # final default option -- should be "else"
                plotted = plot_ohlc(
                    ax, self.pinf.xdata, opens, highs, lows, closes,
                    colorup=self.pinf.sch.barup,
                    colordown=self.pinf.sch.bardown,
                    label=datalabel)

        self.pinf.zorder[ax] = plotted[0].get_zorder()

        # Code to place a label at the right hand side with the last value
        vtags = data.plotinfo._get('plotvaluetags', True)
        if self.pinf.sch.valuetags and vtags:
            self.drawtag(ax, len(self.pinf.xreal), closes[-1],
                         facecolor=self.pinf.sch.locbg,
                         edgecolor=self.pinf.sch.loc)

        ax.yaxis.set_major_locator(mticker.MaxNLocator(prune='both'))
        # make sure "over" indicators do not change our scale
        if data.plotinfo._get('plotylimited', True):
            if axdatamaster is None:
                ax.set_ylim(ax.get_ylim())

        if self.pinf.sch.volume:
            # if not self.pinf.sch.voloverlay:
            if not voloverlay:
                self.plotvolume(
                    data, opens, highs, lows, closes, volumes, vollabel)
            else:
                # Prepare overlay scaling/pushup or manage own axis
                if self.pinf.sch.volpushup:
                    # push up overlaid axis by lowering the bottom limit
                    axbot, axtop = ax.get_ylim()
                    axbot *= (1.0 - self.pinf.sch.volpushup)
                    ax.set_ylim(axbot, axtop)

        for ind in indicators:
            self.plotind(data, ind, subinds=self.dplotsover[ind], masterax=ax)

        handles, labels = ax.get_legend_handles_labels()
        a = axdatamaster or ax
        if handles:
            # put data and volume legend entries in the 1st positions
            # because they are "collections" they are considered after Line2D
            # for the legend entries, which is not our desire
            # if self.pinf.sch.volume and self.pinf.sch.voloverlay:

            ai = self.pinf.legpos[a]
            if self.pinf.sch.volume and voloverlay:
                if volplot:
                    # even if volume plot was requested, there may be no volume
                    labels.insert(ai, vollabel)
                    handles.insert(ai, volplot)

            didx = labels.index(datalabel)
            labels.insert(ai, labels.pop(didx))
            handles.insert(ai, handles.pop(didx))

            if axdatamaster is None:
                self.pinf.handles[ax] = handles
                self.pinf.labels[ax] = labels
            else:
                self.pinf.handles[axdatamaster] = handles
                self.pinf.labels[axdatamaster] = labels
                # self.pinf.handles[axdatamaster].extend(handles)
                # self.pinf.labels[axdatamaster].extend(labels)

            h = self.pinf.handles[a]
            l = self.pinf.labels[a]

            axlegend = a
            loc = data.plotinfo.legendloc or self.pinf.sch.legenddataloc
            legend = axlegend.legend(h, l,
                                     loc=loc,
                                     frameon=False, shadow=False,
                                     fancybox=False, prop=self.pinf.prop,
                                     numpoints=1, ncol=1)

            # hack: if title is set. legend has a Vbox for the labels
            # which has a default "center" set
            legend._legend_box.align = 'left'

        for ind in indicators:
            downinds = self.dplotsdown[ind]
            for downind in downinds:
                self.plotind(data, downind,
                             subinds=self.dplotsover[downind],
                             upinds=self.dplotsup[downind],
                             downinds=self.dplotsdown[downind])

        self.pinf.legpos[a] = len(self.pinf.handles[a])

        if data.plotinfo._get('plotlog', False):
            a = axdatamaster or ax
            a.set_yscale('log')

    def show(self):
        self.mpyplot.show()

    def savefig(self, fig, filename, width=16, height=9, dpi=300, tight=True):
        fig.set_size_inches(width, height)
        bbox_inches = 'tight' * tight or None
        fig.savefig(filename, dpi=dpi, bbox_inches=bbox_inches)

    def sortdataindicators(self, strategy):
        # These lists/dictionaries hold the subplots that go above each data
        self.dplotstop = list()
        self.dplotsup = collections.defaultdict(list)
        self.dplotsdown = collections.defaultdict(list)
        self.dplotsover = collections.defaultdict(list)

        # Sort observers in the different lists/dictionaries
        for x in strategy.getobservers():
            if not x.plotinfo.plot or x.plotinfo.plotskip:
                continue

            if x.plotinfo.subplot:
                self.dplotstop.append(x)
            else:
                key = getattr(x._clock, 'owner', x._clock)
                self.dplotsover[key].append(x)

        # Sort indicators in the different lists/dictionaries
        for x in strategy.getindicators():
            if not hasattr(x, 'plotinfo'):
                # no plotting support - so far LineSingle derived classes
                continue

            if not x.plotinfo.plot or x.plotinfo.plotskip:
                continue

            x._plotinit()  # will be plotted ... call its init function

            # support LineSeriesStub which has "owner" to point to the data
            key = getattr(x._clock, 'owner', x._clock)
            if key is strategy:  # a LinesCoupler
                key = strategy.data

            if getattr(x.plotinfo, 'plotforce', False):
                if key not in strategy.datas:
                    datas = strategy.datas
                    while True:
                        if key not in strategy.datas:
                            key = key._clock
                        else:
                            break

            xpmaster = x.plotinfo.plotmaster
            if xpmaster is x:
                xpmaster = None
            if xpmaster is not None:
                key = xpmaster

            if x.plotinfo.subplot and xpmaster is None:
                if x.plotinfo.plotabove:
                    self.dplotsup[key].append(x)
                else:
                    self.dplotsdown[key].append(x)
            else:
                self.dplotsover[key].append(x)


Plot = Plot_OldSync


================================================
FILE: backtrader/plot/scheme.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


tableau20 = [
    'steelblue',  # 0
    'lightsteelblue',  # 1
    'darkorange',  # 2
    'peachpuff',  # 3
    'green',  # 4
    'lightgreen',  # 5
    'crimson',  # 6
    'lightcoral',  # 7
    'mediumpurple',  # 8
    'thistle',  # 9
    'saddlebrown',  # 10
    'rosybrown',  # 11
    'orchid',  # 12
    'lightpink',  # 13
    'gray',  # 14
    'lightgray',  # 15
    'olive',  # 16
    'palegoldenrod',  # 17
    'mediumturquoise',  # 18
    'paleturquoise',  # 19
]

tableau10 = [
    'blue',  # 'steelblue',  # 0
    'darkorange',  # 1
    'green',  # 2
    'crimson',  # 3
    'mediumpurple',  # 4
    'saddlebrown',  # 5
    'orchid',  # 6
    'gray',  # 7
    'olive',  # 8
    'mediumturquoise',  # 9
]

tableau10_light = [
    'lightsteelblue',  # 0
    'peachpuff',  # 1
    'lightgreen',  # 2
    'lightcoral',  # 3
    'thistle',  # 4
    'rosybrown',  # 5
    'lightpink',  # 6
    'lightgray',  # 7
    'palegoldenrod',  # 8
    'paleturquoise',  # 9
]

tab10_index = [3, 0, 2, 1, 2, 4, 5, 6, 7, 8, 9]


class PlotScheme(object):
    def __init__(self):
        # to have a tight packing on the chart wether only the x axis or also
        # the y axis have (see matplotlib)
        self.ytight = False

        # y-margin (top/bottom) for the subcharts. This will not overrule the
        # option plotinfo.plotymargin
        self.yadjust = 0.0
        # Each new line is in z-order below the previous one. change it False
        # to have lines paint above the previous line
        self.zdown = True
        # Rotation of the date labes on the x axis
        self.tickrotation = 15

        # How many "subparts" takes a major chart (datas) in the overall chart
        # This is proportional to the total number of subcharts
        self.rowsmajor = 5

        # How many "subparts" takes a minor chart (indicators/observers) in the
        # overall chart. This is proportional to the total number of subcharts
        # Together with rowsmajor, this defines a proportion ratio betwen data
        # charts and indicators/observers charts
        self.rowsminor = 1

        # Distance in between subcharts
        self.plotdist = 0.0

        # Have a grid in the background of all charts
        self.grid = True

        # Default plotstyle for the OHLC bars which (line -> line on close)
        # Other options: 'bar' and 'candle'
        self.style = 'line'

        # Default color for the 'line on close' plot
        self.loc = 'black'
        # Default color for a bullish bar/candle (0.75 -> intensity of gray)
        self.barup = '0.75'
        # Default color for a bearish bar/candle
        self.bardown = 'red'
        # Level of transparency to apply to bars/cancles (NOT USED)
        self.bartrans = 1.0

        # Wether the candlesticks have to be filled or be transparent
        self.barupfill = True
        self.bardownfill = True

        # Opacity for the filled candlesticks (1.0 opaque - 0.0 transparent)
        self.baralpha = 1.0

        # Alpha blending for fill areas between lines (_fill_gt and _fill_lt)
        self.fillalpha = 0.20

        # Wether to plot volume or not. Note: if the data in question has no
        # volume values, volume plotting will be skipped even if this is True
        self.volume = True

        # Wether to overlay the volume on the data or use a separate subchart
        self.voloverlay = True
        # Scaling of the volume to the data when plotting as overlay
        self.volscaling = 0.33
        # Pushing overlay volume up for better visibiliy. Experimentation
        # needed if the volume and data overlap too much
        self.volpushup = 0.00

        # Default colour for the volume of a bullish day
        self.volup = '#aaaaaa'  # 0.66 of gray
        # Default colour for the volume of a bearish day
        self.voldown = '#cc6073'  # (204, 96, 115)
        # Transparency to apply to the volume when overlaying
        self.voltrans = 0.50

        # Transparency for text labels (NOT USED CURRENTLY)
        self.subtxttrans = 0.66
        # Default font text size for labels on the chart
        self.subtxtsize = 9

        # Transparency for the legend (NOT USED CURRENTLY)
        self.legendtrans = 0.25
        # Wether indicators have a leged displaey in their charts
        self.legendind = True
        # Location of the legend for indicators (see matplotlib)
        self.legendindloc = 'upper left'

        # Location of the legend for datafeeds (see matplotlib)
        self.legenddataloc = 'upper left'

        # Plot the last value of a line after the Object name
        self.linevalues = True

        # Plot a tag at the end of each line with the last value
        self.valuetags = True

        # Default color for horizontal lines (see plotinfo.plothlines)
        self.hlinescolor = '0.66'  # shade of gray
        # Default style for horizontal lines
        self.hlinesstyle = '--'
        # Default width for horizontal lines
        self.hlineswidth = 1.0

        # Default color scheme: Tableau 10
        self.lcolors = tableau10

        # strftime Format string for the display of ticks on the x axis
        self.fmt_x_ticks = '%Y-%m-%d %H:%M'

        # strftime Format string for the display of data points values
        self.fmt_x_data = None

    def color(self, idx):
        colidx = tab10_index[idx % len(tab10_index)]
        return self.lcolors[colidx]


================================================
FILE: backtrader/plot/utils.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from colorsys import rgb_to_hls as rgb2hls, hls_to_rgb as hls2rgb

import matplotlib.colors as mplcolors
import matplotlib.path as mplpath


def tag_box_style(x0, y0, width, height, mutation_size, mutation_aspect=1):
    """
    Given the location and size of the box, return the path of
    the box around it.

     - *x0*, *y0*, *width*, *height* : location and size of the box
     - *mutation_size* : a reference scale for the mutation.
     - *aspect_ratio* : aspect-ration for the mutation.
    """

    # note that we are ignoring mutation_aspect. This is okay in general.
    mypad = 0.2
    pad = mutation_size * mypad

    # width and height with padding added.
    width, height = width + 2.*pad, height + 2.*pad,

    # boundary of the padded box
    x0, y0 = x0-pad, y0-pad,
    x1, y1 = x0+width, y0 + height

    cp = [(x0, y0),
          (x1, y0), (x1, y1), (x0, y1),
          (x0-pad, (y0+y1)/2.), (x0, y0),
          (x0, y0)]

    com = [mplpath.Path.MOVETO,
           mplpath.Path.LINETO, mplpath.Path.LINETO, mplpath.Path.LINETO,
           mplpath.Path.LINETO, mplpath.Path.LINETO,
           mplpath.Path.CLOSEPOLY]

    path = mplpath.Path(cp, com)

    return path


def shade_color(color, percent):
    """Shade Color
    This color utility function allows the user to easily darken or
    lighten a color for plotting purposes.
    Parameters
    ----------
    color : string, list, hexvalue
        Any acceptable Matplotlib color value, such as
        'red', 'slategrey', '#FFEE11', (1,0,0)
    percent :  the amount by which to brighten or darken the color.
    Returns
    -------
    color : tuple of floats
        tuple representing converted rgb values
    """

    rgb = mplcolors.colorConverter.to_rgb(color)

    h, l, s = rgb2hls(*rgb)

    l *= 1 + float(percent)/100

    l = min(1, l)
    l = max(0, l)

    r, g, b = hls2rgb(h, l, s)

    return r, g, b


================================================
FILE: backtrader/position.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from copy import copy


class Position(object):
    '''
    Keeps and updates the size and price of a position. The object has no
    relationship to any asset. It only keeps size and price.

    Member Attributes:
      - size (int): current size of the position
      - price (float): current price of the position

    The Position instances can be tested using len(position) to see if size
    is not null
    '''

    def __str__(self):
        items = list()
        items.append('--- Position Begin')
        items.append('- Size: {}'.format(self.size))
        items.append('- Price: {}'.format(self.price))
        items.append('- Price orig: {}'.format(self.price_orig))
        items.append('- Closed: {}'.format(self.upclosed))
        items.append('- Opened: {}'.format(self.upopened))
        items.append('- Adjbase: {}'.format(self.adjbase))
        items.append('--- Position End')
        return '\n'.join(items)

    def __init__(self, size=0, price=0.0):
        self.size = size
        if size:
            self.price = self.price_orig = price
        else:
            self.price = 0.0

        self.adjbase = None

        self.upopened = size
        self.upclosed = 0
        self.set(size, price)

        self.updt = None

    def fix(self, size, price):
        oldsize = self.size
        self.size = size
        self.price = price
        return self.size == oldsize

    def set(self, size, price):
        if self.size > 0:
            if size > self.size:
                self.upopened = size - self.size  # new 10 - old 5 -> 5
                self.upclosed = 0
            else:
                # same side min(0, 3) -> 0 / reversal min(0, -3) -> -3
                self.upopened = min(0, size)
                # same side min(10, 10 - 5) -> 5
                # reversal min(10, 10 - -5) -> min(10, 15) -> 10
                self.upclosed = min(self.size, self.size - size)

        elif self.size < 0:
            if size < self.size:
                self.upopened = size - self.size  # ex: -5 - -3 -> -2
                self.upclosed = 0
            else:
                # same side max(0, -5) -> 0 / reversal max(0, 5) -> 5
                self.upopened = max(0, size)
                # same side max(-10, -10 - -5) -> max(-10, -5) -> -5
                # reversal max(-10, -10 - 5) -> max(-10, -15) -> -10
                self.upclosed = max(self.size, self.size - size)

        else:  # self.size == 0
            self.upopened = self.size
            self.upclosed = 0

        self.size = size
        self.price_orig = self.price
        if size:
            self.price = price
        else:
            self.price = 0.0

        return self.size, self.price, self.upopened, self.upclosed

    def __len__(self):
        return abs(self.size)

    def __bool__(self):
        return bool(self.size != 0)

    __nonzero__ = __bool__

    def clone(self):
        return Position(size=self.size, price=self.price)

    def pseudoupdate(self, size, price):
        return Position(self.size, self.price).update(size, price)

    def update(self, size, price, dt=None):
        '''
        Updates the current position and returns the updated size, price and
        units used to open/close a position

        Args:
            size (int): amount to update the position size
                size < 0: A sell operation has taken place
                size > 0: A buy operation has taken place

            price (float):
                Must always be positive to ensure consistency

        Returns:
            A tuple (non-named) contaning
               size - new position size
                   Simply the sum of the existing size plus the "size" argument
               price - new position price
                   If a position is increased the new average price will be
                   returned
                   If a position is reduced the price of the remaining size
                   does not change
                   If a position is closed the price is nullified
                   If a position is reversed the price is the price given as
                   argument
               opened - amount of contracts from argument "size" that were used
                   to open/increase a position.
                   A position can be opened from 0 or can be a reversal.
                   If a reversal is performed then opened is less than "size",
                   because part of "size" will have been used to close the
                   existing position
               closed - amount of units from arguments "size" that were used to
                   close/reduce a position

            Both opened and closed carry the same sign as the "size" argument
            because they refer to a part of the "size" argument
        '''
        self.datetime = dt  # record datetime update (datetime.datetime)

        self.price_orig = self.price
        oldsize = self.size
        self.size += size

        if not self.size:
            # Update closed existing position
            opened, closed = 0, size
            self.price = 0.0
        elif not oldsize:
            # Update opened a position from 0
            opened, closed = size, 0
            self.price = price
        elif oldsize > 0:  # existing "long" position updated

            if size > 0:  # increased position
                opened, closed = size, 0
                self.price = (self.price * oldsize + size * price) / self.size

            elif self.size > 0:  # reduced position
                opened, closed = 0, size
                # self.price = self.price

            else:  # self.size < 0 # reversed position form plus to minus
                opened, closed = self.size, -oldsize
                self.price = price

        else:  # oldsize < 0 - existing short position updated

            if size < 0:  # increased position
                opened, closed = size, 0
                self.price = (self.price * oldsize + size * price) / self.size

            elif self.size < 0:  # reduced position
                opened, closed = 0, size
                # self.price = self.price

            else:  # self.size > 0 - reversed position from minus to plus
                opened, closed = self.size, -oldsize
                self.price = price

        self.upopened = opened
        self.upclosed = closed

        return self.size, self.price, opened, closed


================================================
FILE: backtrader/resamplerfilter.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from datetime import datetime, date, timedelta

from .dataseries import TimeFrame, _Bar
from .utils.py3 import with_metaclass
from . import metabase
from .utils.date import date2num, num2date


class DTFaker(object):
    # This will only be used for data sources which at some point in time
    # return None from _load to indicate that a check of the resampler and/or
    # notification queue is needed
    # This is meant (at least initially) for real-time feeds, because those are
    # the ones in need of events like the ones described above.
    # These data sources should also be producing ``utc`` time directly because
    # the real-time feed is (more often than not)  timestamped and utc provides
    # a universal reference
    # That's why below the timestamp is chosen in UTC and passed directly to
    # date2num to avoid a localization. But it is extracted from data.num2date
    # to ensure the returned datetime object is localized according to the
    # expected output by the user (local timezone or any specified)

    def __init__(self, data, forcedata=None):
        self.data = data

        # Aliases
        self.datetime = self
        self.p = self

        if forcedata is None:
            _dtime = datetime.utcnow() + data._timeoffset()
            self._dt = dt = date2num(_dtime)  # utc-like time
            self._dtime = data.num2date(dt)  # localized time
        else:
            self._dt = forcedata.datetime[0]  # utc-like time
            self._dtime = forcedata.datetime.datetime()  # localized time

        self.sessionend = data.p.sessionend

    def __len__(self):
        return len(self.data)

    def __call__(self, idx=0):
        return self._dtime  # simulates data.datetime.datetime()

    def datetime(self, idx=0):
        return self._dtime

    def date(self, idx=0):
        return self._dtime.date()

    def time(self, idx=0):
        return self._dtime.time()

    @property
    def _calendar(self):
        return self.data._calendar

    def __getitem__(self, idx):
        return self._dt if idx == 0 else float('-inf')

    def num2date(self, *args, **kwargs):
        return self.data.num2date(*args, **kwargs)

    def date2num(self, *args, **kwargs):
        return self.data.date2num(*args, **kwargs)

    def _getnexteos(self):
        return self.data._getnexteos()


class _BaseResampler(with_metaclass(metabase.MetaParams, object)):
    params = (
        ('bar2edge', True),
        ('adjbartime', True),
        ('rightedge', True),
        ('boundoff', 0),

        ('timeframe', TimeFrame.Days),
        ('compression', 1),

        ('takelate', True),

        ('sessionend', True),
    )

    def __init__(self, data):
        self.subdays = TimeFrame.Ticks < self.p.timeframe < TimeFrame.Days
        self.subweeks = self.p.timeframe < TimeFrame.Weeks
        self.componly = (not self.subdays and
                         data._timeframe == self.p.timeframe and
                         not (self.p.compression % data._compression))

        self.bar = _Bar(maxdate=True)  # bar holder
        self.compcount = 0  # count of produced bars to control compression
        self._firstbar = True
        self.doadjusttime = (self.p.bar2edge and self.p.adjbartime and
                             self.subweeks)

        self._nexteos = None

        # Modify data information according to own parameters
        data.resampling = 1
        data.replaying = self.replaying
        data._timeframe = self.p.timeframe
        data._compression = self.p.compression

        self.data = data

    def _latedata(self, data):
        # new data at position 0, still untouched from stream
        if not self.subdays:
            return False

        # Time already delivered
        return len(data) > 1 and data.datetime[0] <= data.datetime[-1]

    def _checkbarover(self, data, fromcheck=False, forcedata=None):
        chkdata = DTFaker(data, forcedata) if fromcheck else data

        isover = False
        if not self.componly and not self._barover(chkdata):
            return isover

        if self.subdays and self.p.bar2edge:
            isover = True
        elif not fromcheck:  # fromcheck doesn't increase compcount
            self.compcount += 1
            if not (self.compcount % self.p.compression):
                # boundary crossed and enough bars for compression ... proceed
                isover = True

        return isover

    def _barover(self, data):
        tframe = self.p.timeframe

        if tframe == TimeFrame.Ticks:
            # Ticks is already the lowest level
            return self.bar.isopen()

        elif tframe < TimeFrame.Days:
            return self._barover_subdays(data)

        elif tframe == TimeFrame.Days:
            return self._barover_days(data)

        elif tframe == TimeFrame.Weeks:
            return self._barover_weeks(data)

        elif tframe == TimeFrame.Months:
            return self._barover_months(data)

        elif tframe == TimeFrame.Years:
            return self._barover_years(data)

    def _eosset(self):
        if self._nexteos is None:
            self._nexteos, self._nextdteos = self.data._getnexteos()
            return

    def _eoscheck(self, data, seteos=True, exact=False):
        if seteos:
            self._eosset()

        equal = data.datetime[0] == self._nextdteos
        grter = data.datetime[0] > self._nextdteos

        if exact:
            ret = equal
        else:
            # if the compared data goes over the endofsession
            # make sure the resampled bar is open and has something before that
            # end of session. It could be a weekend and nothing was delivered
            # until Monday
            if grter:
                ret = (self.bar.isopen() and
                       self.bar.datetime <= self._nextdteos)
            else:
                ret = equal

        if ret:
            self._lasteos = self._nexteos
            self._lastdteos = self._nextdteos
            self._nexteos = None
            self._nextdteos = float('-inf')

        return ret

    def _barover_days(self, data):
        return self._eoscheck(data)

    def _barover_weeks(self, data):
        if self.data._calendar is None:
            year, week, _ = data.num2date(self.bar.datetime).date().isocalendar()
            yearweek = year * 100 + week

            baryear, barweek, _ = data.datetime.date().isocalendar()
            bar_yearweek = baryear * 100 + barweek

            return bar_yearweek > yearweek
        else:
            return data._calendar.last_weekday(data.datetime.date())

    def _barover_months(self, data):
        dt = data.num2date(self.bar.datetime).date()
        yearmonth = dt.year * 100 + dt.month

        bardt = data.datetime.datetime()
        bar_yearmonth = bardt.year * 100 + bardt.month

        return bar_yearmonth > yearmonth

    def _barover_years(self, data):
        return (data.datetime.datetime().year >
                data.num2date(self.bar.datetime).year)

    def _gettmpoint(self, tm):
        '''Returns the point of time intraday for a given time according to the
        timeframe

          - Ex 1: 00:05:00 in minutes -> point = 5
          - Ex 2: 00:05:20 in seconds -> point = 5 * 60 + 20 = 320
        '''
        point = tm.hour * 60 + tm.minute
        restpoint = 0

        if self.p.timeframe < TimeFrame.Minutes:
            point = point * 60 + tm.second

            if self.p.timeframe < TimeFrame.Seconds:
                point = point * 1e6 + tm.microsecond
            else:
                restpoint = tm.microsecond
        else:
            restpoint = tm.second + tm.microsecond

        point += self.p.boundoff

        return point, restpoint

    def _barover_subdays(self, data):
        if self._eoscheck(data):
            return True

        if data.datetime[0] < self.bar.datetime:
            return False

        # Get time objects for the comparisons - in utc-like format
        tm = num2date(self.bar.datetime).time()
        bartm = num2date(data.datetime[0]).time()

        point, _ = self._gettmpoint(tm)
        barpoint, _ = self._gettmpoint(bartm)

        ret = False
        if barpoint > point:
            # The data bar has surpassed the internal bar
            if not self.p.bar2edge:
                # Compression done on simple bar basis (like days)
                ret = True
            elif self.p.compression == 1:
                # no bar compression requested -> internal bar done
                ret = True
            else:
                point_comp = point // self.p.compression
                barpoint_comp = barpoint // self.p.compression

                # Went over boundary including compression
                if barpoint_comp > point_comp:
                    ret = True

        return ret

    def check(self, data, _forcedata=None):
        '''Called to check if the current stored bar has to be delivered in
        spite of the data not having moved forward. If no ticks from a live
        feed come in, a 5 second resampled bar could be delivered 20 seconds
        later. When this method is called the wall clock (incl data time
        offset) is called to check if the time has gone so far as to have to
        deliver the already stored data
        '''
        if not self.bar.isopen():
            return

        return self(data, fromcheck=True, forcedata=_forcedata)

    def _dataonedge(self, data):
        if not self.subweeks:
            if data._calendar is None:
                return False, True  # nothing can be done

            tframe = self.p.timeframe
            ret = False
            if tframe == TimeFrame.Weeks:  # Ticks is already the lowest
                ret = data._calendar.last_weekday(data.datetime.date())
            elif tframe == TimeFrame.Months:
                ret = data._calendar.last_monthday(data.datetime.date())
            elif tframe == TimeFrame.Years:
                ret = data._calendar.last_yearday(data.datetime.date())

            if ret:
                # Data must be consumed but compression may not be met yet
                # Prevent barcheckover from being called because it could again
                # increase compcount
                docheckover = False
                self.compcount += 1
                ret = not (self.compcount % self.p.compression)
            else:
                docheckover = True

            return ret, docheckover

        if self._eoscheck(data, exact=True):
            return True, True

        if self.subdays:
            point, prest = self._gettmpoint(data.datetime.time())
            if prest:
                return False, True  # cannot be on boundary, subunits present

            # Pass through compression to get boundary and rest over boundary
            bound, brest = divmod(point, self.p.compression)

            # if no extra and decomp bound is point
            return (brest == 0 and point == (bound * self.p.compression), True)

        # Code overriden by eoscheck
        if False and self.p.sessionend:
            # Days scenario - get datetime to compare in output timezone
            # because p.sessionend is expected in output timezone
            bdtime = data.datetime.datetime()
            bsend = datetime.combine(bdtime.date(), data.p.sessionend)
            return bdtime == bsend

        return False, True  # subweeks, not subdays and not sessionend

    def _calcadjtime(self, greater=False):
        if self._nexteos is None:
            # Session has been exceeded - end of session is the mark
            return self._lastdteos  # utc-like

        dt = self.data.num2date(self.bar.datetime)

        # Get current time
        tm = dt.time()
        # Get the point of the day in the time frame unit (ex: minute 200)
        point, _ = self._gettmpoint(tm)

        # Apply compression to update the point position (comp 5 -> 200 // 5)
        # point = (point // self.p.compression)
        point = point // self.p.compression

        # If rightedge (end of boundary is activated) add it unless recursing
        point += self.p.rightedge

        # Restore point to the timeframe units by de-applying compression
        point *= self.p.compression

        # Get hours, minutes, seconds and microseconds
        extradays = 0
        if self.p.timeframe == TimeFrame.Minutes:
            ph, pm = divmod(point, 60)
            ps = 0
            pus = 0
        elif self.p.timeframe == TimeFrame.Seconds:
            ph, pm = divmod(point, 60 * 60)
            pm, ps = divmod(pm, 60)
            pus = 0
        elif self.p.timeframe <= TimeFrame.MicroSeconds:
            ph, pm = divmod(point, 60 * 60 * 1e6)
            pm, psec = divmod(pm, 60 * 1e6)
            ps, pus = divmod(psec, 1e6)
        elif self.p.timeframe == TimeFrame.Days:
            # last resort
            eost = self._nexteos.time()
            ph = eost.hour
            pm = eost.minute
            ps = eost.second
            pus = eost.microsecond

        if ph > 23:  # went over midnight:
            extradays = ph // 24
            ph %= 24

        # Replace intraday parts with the calculated ones and update it
        dt = dt.replace(hour=int(ph), minute=int(pm),
                        second=int(ps), microsecond=int(pus))
        if extradays:
            dt += timedelta(days=extradays)
        dtnum = self.data.date2num(dt)
        return dtnum

    def _adjusttime(self, greater=False, forcedata=None):
        '''
        Adjusts the time of calculated bar (from underlying data source) by
        using the timeframe to the appropriate boundary, with compression taken
        into account

        Depending on param ``rightedge`` uses the starting boundary or the
        ending one
        '''
        dtnum = self._calcadjtime(greater=greater)
        if greater and dtnum <= self.bar.datetime:
            return False

        self.bar.datetime = dtnum
        return True


class Resampler(_BaseResampler):
    '''This class resamples data of a given timeframe to a larger timeframe.

    Params

      - bar2edge (default: True)

        resamples using time boundaries as the target. For example with a
        "ticks -> 5 seconds" the resulting 5 seconds bars will be aligned to
        xx:00, xx:05, xx:10 ...

      - adjbartime (default: True)

        Use the time at the boundary to adjust the time of the delivered
        resampled bar instead of the last seen timestamp. If resampling to "5
        seconds" the time of the bar will be adjusted for example to hh:mm:05
        even if the last seen timestamp was hh:mm:04.33

        .. note::

           Time will only be adjusted if "bar2edge" is True. It wouldn't make
           sense to adjust the time if the bar has not been aligned to a
           boundary

      - rightedge (default: True)

        Use the right edge of the time boundaries to set the time.

        If False and compressing to 5 seconds the time of a resampled bar for
        seconds between hh:mm:00 and hh:mm:04 will be hh:mm:00 (the starting
        boundary

        If True the used boundary for the time will be hh:mm:05 (the ending
        boundary)
    '''
    params = (
        ('bar2edge', True),
        ('adjbartime', True),
        ('rightedge', True),
    )

    replaying = False

    def last(self, data):
        '''Called when the data is no longer producing bars

        Can be called multiple times. It has the chance to (for example)
        produce extra bars which may still be accumulated and have to be
        delivered
        '''
        if self.bar.isopen():
            if self.doadjusttime:
                self._adjusttime()

            data._add2stack(self.bar.lvalues())
            self.bar.bstart(maxdate=True)  # close the bar to avoid dups
            return True

        return False

    def __call__(self, data, fromcheck=False, forcedata=None):
        '''Called for each set of values produced by the data source'''
        consumed = False
        onedge = False
        docheckover = True
        if not fromcheck:
            if self._latedata(data):
                if not self.p.takelate:
                    data.backwards()
                    return True  # get a new bar

                self.bar.bupdate(data)  # update new or existing bar
                # push time beyond reference
                self.bar.datetime = data.datetime[-1] + 0.000001
                data.backwards()  # remove used bar
                return True

            if self.componly:  # only if not subdays
                # Get a session ref before rewinding
                _, self._lastdteos = self.data._getnexteos()
                consumed = True

            else:
                onedge, docheckover = self._dataonedge(data)  # for subdays
                consumed = onedge

        if consumed:
            self.bar.bupdate(data)  # update new or existing bar
            data.backwards()  # remove used bar

        # if self.bar.isopen and (onedge or (docheckover and checkbarover))
        cond = self.bar.isopen()
        if cond:  # original is and, the 2nd term must also be true
            if not onedge:  # onedge true is sufficient
                if docheckover:
                    cond = self._checkbarover(data, fromcheck=fromcheck,
                                              forcedata=forcedata)
        if cond:
            dodeliver = False
            if forcedata is not None:
                # check our delivery time is not larger than that of forcedata
                tframe = self.p.timeframe
                if tframe == TimeFrame.Ticks:  # Ticks is already the lowest
                    dodeliver = True
                elif tframe == TimeFrame.Minutes:
                    dtnum = self._calcadjtime(greater=True)
                    dodeliver = dtnum <= forcedata.datetime[0]
                elif tframe == TimeFrame.Days:
                    dtnum = self._calcadjtime(greater=True)
                    dodeliver = dtnum <= forcedata.datetime[0]
            else:
                dodeliver = True

            if dodeliver:
                if not onedge and self.doadjusttime:
                    self._adjusttime(greater=True, forcedata=forcedata)

                data._add2stack(self.bar.lvalues())
                self.bar.bstart(maxdate=True)  # bar delivered -> restart

        if not fromcheck:
            if not consumed:
                self.bar.bupdate(data)  # update new or existing bar
                data.backwards()  # remove used bar

        return True


class Replayer(_BaseResampler):
    '''This class replays data of a given timeframe to a larger timeframe.

    It simulates the action of the market by slowly building up (for ex.) a
    daily bar from tick/seconds/minutes data

    Only when the bar is complete will the "length" of the data be changed
    effectively delivering a closed bar

    Params

      - bar2edge (default: True)

        replays using time boundaries as the target of the closed bar. For
        example with a "ticks -> 5 seconds" the resulting 5 seconds bars will
        be aligned to xx:00, xx:05, xx:10 ...

      - adjbartime (default: False)

        Use the time at the boundary to adjust the time of the delivered
        resampled bar instead of the last seen timestamp. If resampling to "5
        seconds" the time of the bar will be adjusted for example to hh:mm:05
        even if the last seen timestamp was hh:mm:04.33

        .. note::

           Time will only be adjusted if "bar2edge" is True. It wouldn't make
           sense to adjust the time if the bar has not been aligned to a
           boundary

        .. note:: if this parameter is True an extra tick with the *adjusted*
                  time will be introduced at the end of the *replayed* bar

      - rightedge (default: True)

        Use the right edge of the time boundaries to set the time.

        If False and compressing to 5 seconds the time of a resampled bar for
        seconds between hh:mm:00 and hh:mm:04 will be hh:mm:00 (the starting
        boundary

        If True the used boundary for the time will be hh:mm:05 (the ending
        boundary)
    '''
    params = (
        ('bar2edge', True),
        ('adjbartime', False),
        ('rightedge', True),
    )

    replaying = True

    def __call__(self, data, fromcheck=False, forcedata=None):
        consumed = False
        onedge = False
        takinglate = False
        docheckover = True

        if not fromcheck:
            if self._latedata(data):
                if not self.p.takelate:
                    data.backwards(force=True)
                    return True  # get a new bar

                consumed = True
                takinglate = True

            elif self.componly:  # only if not subdays
                consumed = True

            else:
                onedge, docheckover = self._dataonedge(data)  # for subdays
                consumed = onedge

            data._tick_fill(force=True)  # update

        if consumed:
            self.bar.bupdate(data)
            if takinglate:
                self.bar.datetime = data.datetime[-1] + 0.000001

        # if onedge or (checkbarover and self._checkbarover)
        cond = onedge
        if not cond:  # original is or, if true it would suffice
            if docheckover:
                cond = self._checkbarover(data, fromcheck=fromcheck)
        if cond:
            if not onedge and self.doadjusttime:  # insert tick with adjtime
                adjusted = self._adjusttime(greater=True)
                if adjusted:
                    ago = 0 if (consumed or fromcheck) else -1
                    # Update to the point right before the new data
                    data._updatebar(self.bar.lvalues(), forward=False, ago=ago)

                if not fromcheck:
                    if not consumed:
                        # Reopen bar with real new data and save data to queue
                        self.bar.bupdate(data, reopen=True)
                        # erase is True, but the tick will not be seen below
                        # and therefore no need to mark as 1st
                        data._save2stack(erase=True, force=True)
                    else:
                        self.bar.bstart(maxdate=True)
                        self._firstbar = True  # next is first
                else:  # from check
                    # fromcheck or consumed have  forced delivery, reopen
                    self.bar.bstart(maxdate=True)
                    self._firstbar = True  # next is first
                    if adjusted:
                        # after adjusting need to redeliver if this was a check
                        data._save2stack(erase=True, force=True)

            elif not fromcheck:
                if not consumed:
                    # Data already "forwarded" and we replay to new bar
                    # No need to go backwards. simply reopen internal cache
                    self.bar.bupdate(data, reopen=True)
                else:
                    # compression only, used data to update bar, hence remove
                    # from stream, update existing data, reopen bar
                    if not self._firstbar:  # only discard data if not firstbar
                        data.backwards(force=True)
                    data._updatebar(self.bar.lvalues(), forward=False, ago=0)
                    self.bar.bstart(maxdate=True)
                    self._firstbar = True  # make sure next tick moves forward

        elif not fromcheck:
            # not over, update, remove new entry, deliver
            if not consumed:
                self.bar.bupdate(data)

            if not self._firstbar:  # only discard data if not firstbar
                data.backwards(force=True)

            data._updatebar(self.bar.lvalues(), forward=False, ago=0)
            self._firstbar = False

        return False  # the existing bar can be processed by the system


class ResamplerTicks(Resampler):
    params = (('timeframe', TimeFrame.Ticks),)


class ResamplerSeconds(Resampler):
    params = (('timeframe', TimeFrame.Seconds),)


class ResamplerMinutes(Resampler):
    params = (('timeframe', TimeFrame.Minutes),)


class ResamplerDaily(Resampler):
    params = (('timeframe', TimeFrame.Days),)


class ResamplerWeekly(Resampler):
    params = (('timeframe', TimeFrame.Weeks),)


class ResamplerMonthly(Resampler):
    params = (('timeframe', TimeFrame.Months),)


class ResamplerYearly(Resampler):
    params = (('timeframe', TimeFrame.Years),)


class ReplayerTicks(Replayer):
    params = (('timeframe', TimeFrame.Ticks),)


class ReplayerSeconds(Replayer):
    params = (('timeframe', TimeFrame.Seconds),)


class ReplayerMinutes(Replayer):
    params = (('timeframe', TimeFrame.Minutes),)


class ReplayerDaily(Replayer):
    params = (('timeframe', TimeFrame.Days),)


class ReplayerWeekly(Replayer):
    params = (('timeframe', TimeFrame.Weeks),)


class ReplayerMonthly(Replayer):
    params = (('timeframe', TimeFrame.Months),)


================================================
FILE: backtrader/signal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt

(

    SIGNAL_NONE,
    SIGNAL_LONGSHORT,
    SIGNAL_LONG,
    SIGNAL_LONG_INV,
    SIGNAL_LONG_ANY,
    SIGNAL_SHORT,
    SIGNAL_SHORT_INV,
    SIGNAL_SHORT_ANY,
    SIGNAL_LONGEXIT,
    SIGNAL_LONGEXIT_INV,
    SIGNAL_LONGEXIT_ANY,
    SIGNAL_SHORTEXIT,
    SIGNAL_SHORTEXIT_INV,
    SIGNAL_SHORTEXIT_ANY,

) = range(14)


SignalTypes = [
    SIGNAL_NONE,
    SIGNAL_LONGSHORT,
    SIGNAL_LONG, SIGNAL_LONG_INV, SIGNAL_LONG_ANY,
    SIGNAL_SHORT, SIGNAL_SHORT_INV, SIGNAL_SHORT_ANY,
    SIGNAL_LONGEXIT, SIGNAL_LONGEXIT_INV, SIGNAL_LONGEXIT_ANY,
    SIGNAL_SHORTEXIT, SIGNAL_SHORTEXIT_INV, SIGNAL_SHORTEXIT_ANY
]


class Signal(bt.Indicator):
    SignalTypes = SignalTypes

    lines = ('signal',)

    def __init__(self):
        self.lines.signal = self.data0.lines[0]
        self.plotinfo.plotmaster = getattr(self.data0, '_clock', self.data0)


================================================
FILE: backtrader/signals/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)



================================================
FILE: backtrader/sizer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from .utils.py3 import with_metaclass

from .metabase import MetaParams


class Sizer(with_metaclass(MetaParams, object)):
    '''This is the base class for *Sizers*. Any *sizer* should subclass this
    and override the ``_getsizing`` method

    Member Attribs:

      - ``strategy``: will be set by the strategy in which the sizer is working

        Gives access to the entire api of the strategy, for example if the
        actual data position would be needed in ``_getsizing``::

           position = self.strategy.getposition(data)

      - ``broker``: will be set by the strategy in which the sizer is working

        Gives access to information some complex sizers may need like portfolio
        value, ..
    '''
    strategy = None
    broker = None

    def getsizing(self, data, isbuy):
        comminfo = self.broker.getcommissioninfo(data)
        return self._getsizing(comminfo, self.broker.getcash(), data, isbuy)

    def _getsizing(self, comminfo, cash, data, isbuy):
        '''This method has to be overriden by subclasses of Sizer to provide
        the sizing functionality

        Params:
          - ``comminfo``: The CommissionInfo instance that contains
            information about the commission for the data and allows
            calculation of position value, operation cost, commision for the
            operation

          - ``cash``: current available cash in the *broker*

          - ``data``: target of the operation

          - ``isbuy``: will be ``True`` for *buy* operations and ``False``
            for *sell* operations

        The method has to return the actual size (an int) to be executed. If
        ``0`` is returned nothing will be executed.

        The absolute value of the returned value will be used

        '''
        raise NotImplementedError

    def set(self, strategy, broker):
        self.strategy = strategy
        self.broker = broker


SizerBase = Sizer  # alias for old naming


================================================
FILE: backtrader/sizers/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the objects wishes
# or prepend an "_" (underscore) to private classes/variables

from .fixedsize import *
from .percents_sizer import *


================================================
FILE: backtrader/sizers/fixedsize.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt


class FixedSize(bt.Sizer):
    '''
    This sizer simply returns a fixed size for any operation.
    Size can be controlled by number of tranches that a system
    wishes to use to scale into trades by specifying the ``tranches``
    parameter.


    Params:
      - ``stake`` (default: ``1``)
      - ``tranches`` (default: ``1``)
    '''

    params = (('stake', 1),
              ('tranches', 1))

    def _getsizing(self, comminfo, cash, data, isbuy):
        if self.p.tranches > 1:
            return abs(int(self.p.stake / self.p.tranches))
        else:
            return self.p.stake

    def setsizing(self, stake):
        if self.p.tranches > 1:
            self.p.stake = abs(int(self.p.stake / self.p.tranches))
        else:
            self.p.stake = stake  # OLD METHOD FOR SAMPLE COMPATIBILITY


SizerFix = FixedSize


class FixedReverser(bt.Sizer):
    '''This sizer returns the needes fixed size to reverse an open position or
    the fixed size to open one

      - To open a position: return the param ``stake``

      - To reverse a position: return 2 * ``stake``

    Params:
      - ``stake`` (default: ``1``)
    '''
    params = (('stake', 1),)

    def _getsizing(self, comminfo, cash, data, isbuy):
        position = self.strategy.getposition(data)
        size = self.p.stake * (1 + (position.size != 0))
        return size


class FixedSizeTarget(bt.Sizer):
    '''
    This sizer simply returns a fixed target size, useful when coupled
    with Target Orders and specifically ``cerebro.target_order_size()``.
    Size can be controlled by number of tranches that a system
    wishes to use to scale into trades by specifying the ``tranches``
    parameter.


    Params:
      - ``stake`` (default: ``1``)
      - ``tranches`` (default: ``1``)
    '''

    params = (('stake', 1),
              ('tranches', 1))

    def _getsizing(self, comminfo, cash, data, isbuy):
        if self.p.tranches > 1:
            size = abs(int(self.p.stake / self.p.tranches))
            return min((self.strategy.position.size + size), self.p.stake)
        else:
            return self.p.stake

    def setsizing(self, stake):
        if self.p.tranches > 1:
            size = abs(int(self.p.stake / self.p.tranches))
            self.p.stake = min((self.strategy.position.size + size),
                               self.p.stake)
        else:
            self.p.stake = stake  # OLD METHOD FOR SAMPLE COMPATIBILITY


================================================
FILE: backtrader/sizers/percents_sizer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt

__all__ = ['PercentSizer', 'AllInSizer', 'PercentSizerInt', 'AllInSizerInt']


class PercentSizer(bt.Sizer):
    '''This sizer return percents of available cash

    Params:
      - ``percents`` (default: ``20``)
    '''

    params = (
        ('percents', 20),
        ('retint', False),  # return an int size or rather the float value
    )

    def __init__(self):
        pass

    def _getsizing(self, comminfo, cash, data, isbuy):
        position = self.broker.getposition(data)
        if not position:
            size = cash / data.close[0] * (self.params.percents / 100)
        else:
            size = position.size

        if self.p.retint:
            size = int(size)

        return size


class AllInSizer(PercentSizer):
    '''This sizer return all available cash of broker

     Params:
       - ``percents`` (default: ``100``)
     '''
    params = (
        ('percents', 100),
    )


class PercentSizerInt(PercentSizer):
    '''This sizer return percents of available cash in form of size truncated
    to an int

    Params:
      - ``percents`` (default: ``20``)
    '''

    params = (
        ('retint', True),  # return an int size or rather the float value
    )


class AllInSizerInt(PercentSizerInt):
    '''This sizer return all available cash of broker with the
    size truncated to an int

     Params:
       - ``percents`` (default: ``100``)
     '''
    params = (
        ('percents', 100),
    )


================================================
FILE: backtrader/store.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections

from backtrader.metabase import MetaParams
from backtrader.utils.py3 import with_metaclass


class MetaSingleton(MetaParams):
    '''Metaclass to make a metaclassed class a singleton'''
    def __init__(cls, name, bases, dct):
        super(MetaSingleton, cls).__init__(name, bases, dct)
        cls._singleton = None

    def __call__(cls, *args, **kwargs):
        if cls._singleton is None:
            cls._singleton = (
                super(MetaSingleton, cls).__call__(*args, **kwargs))

        return cls._singleton


class Store(with_metaclass(MetaSingleton, object)):
    '''Base class for all Stores'''

    _started = False

    params = ()

    def getdata(self, *args, **kwargs):
        '''Returns ``DataCls`` with args, kwargs'''
        data = self.DataCls(*args, **kwargs)
        data._store = self
        return data

    @classmethod
    def getbroker(cls, *args, **kwargs):
        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''
        broker = cls.BrokerCls(*args, **kwargs)
        broker._store = cls
        return broker

    BrokerCls = None  # broker class will autoregister
    DataCls = None  # data class will auto register

    def start(self, data=None, broker=None):
        if not self._started:
            self._started = True
            self.notifs = collections.deque()
            self.datas = list()
            self.broker = None

        if data is not None:
            self._cerebro = self._env = data._env
            self.datas.append(data)

            if self.broker is not None:
                if hasattr(self.broker, 'data_started'):
                    self.broker.data_started(data)

        elif broker is not None:
            self.broker = broker

    def stop(self):
        pass

    def put_notification(self, msg, *args, **kwargs):
        self.notifs.append((msg, args, kwargs))

    def get_notifications(self):
        '''Return the pending "store" notifications'''
        self.notifs.append(None)  # put a mark / threads could still append
        return [x for x in iter(self.notifs.popleft, None)]


================================================
FILE: backtrader/stores/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the objects wishes
# or prepend an "_" (underscore) to private classes/variables

try:
    from .ibstore import IBStore
except ImportError:
    pass  # The user may not have ibpy installed

try:
    from .vcstore import VCStore
except ImportError:
    pass  # The user may not have a module installed

try:
    from .oandastore import OandaStore
except ImportError:
    pass  # The user may not have a module installed


from .vchartfile import VChartFile


================================================
FILE: backtrader/stores/ibstore.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from copy import copy
from datetime import date, datetime, timedelta
import inspect
import itertools
import random
import threading
import time

from ib.ext.Contract import Contract
import ib.opt as ibopt

from backtrader import TimeFrame, Position
from backtrader.metabase import MetaParams
from backtrader.utils.py3 import bytes, bstr, queue, with_metaclass, long
from backtrader.utils import AutoDict, UTC

bytes = bstr  # py2/3 need for ibpy


def _ts2dt(tstamp=None):
    # Transforms a RTVolume timestamp to a datetime object
    if not tstamp:
        return datetime.utcnow()

    sec, msec = divmod(long(tstamp), 1000)
    usec = msec * 1000
    return datetime.utcfromtimestamp(sec).replace(microsecond=usec)


class RTVolume(object):
    '''Parses a tickString tickType 48 (RTVolume) event from the IB API into its
    constituent fields

    Supports using a "price" to simulate an RTVolume from a tickPrice event
    '''
    _fields = [
        ('price', float),
        ('size', int),
        ('datetime', _ts2dt),
        ('volume', int),
        ('vwap', float),
        ('single', bool)
    ]

    def __init__(self, rtvol='', price=None, tmoffset=None):
        # Use a provided string or simulate a list of empty tokens
        tokens = iter(rtvol.split(';'))

        # Put the tokens as attributes using the corresponding func
        for name, func in self._fields:
            setattr(self, name, func(next(tokens)) if rtvol else func())

        # If price was provided use it
        if price is not None:
            self.price = price

        if tmoffset is not None:
            self.datetime += tmoffset


class MetaSingleton(MetaParams):
    '''Metaclass to make a metaclassed class a singleton'''
    def __init__(cls, name, bases, dct):
        super(MetaSingleton, cls).__init__(name, bases, dct)
        cls._singleton = None

    def __call__(cls, *args, **kwargs):
        if cls._singleton is None:
            cls._singleton = (
                super(MetaSingleton, cls).__call__(*args, **kwargs))

        return cls._singleton


# Decorator to mark methods to register with ib.opt
def ibregister(f):
    f._ibregister = True
    return f


class IBStore(with_metaclass(MetaSingleton, object)):
    '''Singleton class wrapping an ibpy ibConnection instance.

    The parameters can also be specified in the classes which use this store,
    like ``IBData`` and ``IBBroker``

    Params:

      - ``host`` (default:``127.0.0.1``): where IB TWS or IB Gateway are
        actually running. And although this will usually be the localhost, it
        must not be

      - ``port`` (default: ``7496``): port to connect to. The demo system uses
        ``7497``

      - ``clientId`` (default: ``None``): which clientId to use to connect to
        TWS.

        ``None``: generates a random id between 1 and 65535
        An ``integer``: will be passed as the value to use.

      - ``notifyall`` (default: ``False``)

        If ``False`` only ``error`` messages will be sent to the
        ``notify_store`` methods of ``Cerebro`` and ``Strategy``.

        If ``True``, each and every message received from TWS will be notified

      - ``_debug`` (default: ``False``)

        Print all messages received from TWS to standard output

      - ``reconnect`` (default: ``3``)

        Number of attempts to try to reconnect after the 1st connection attempt
        fails

        Set it to a ``-1`` value to keep on reconnecting forever

      - ``timeout`` (default: ``3.0``)

        Time in seconds between reconnection attemps

      - ``timeoffset`` (default: ``True``)

        If True, the time obtained from ``reqCurrentTime`` (IB Server time)
        will be used to calculate the offset to localtime and this offset will
        be used for the price notifications (tickPrice events, for example for
        CASH markets) to modify the locally calculated timestamp.

        The time offset will propagate to other parts of the ``backtrader``
        ecosystem like the **resampling** to align resampling timestamps using
        the calculated offset.

      - ``timerefresh`` (default: ``60.0``)

        Time in seconds: how often the time offset has to be refreshed

      - ``indcash`` (default: ``True``)

        Manage IND codes as if they were cash for price retrieval
    '''

    # Set a base for the data requests (historical/realtime) to distinguish the
    # id in the error notifications from orders, where the basis (usually
    # starting at 1) is set by TWS
    REQIDBASE = 0x01000000

    BrokerCls = None  # broker class will autoregister
    DataCls = None  # data class will auto register

    params = (
        ('host', '127.0.0.1'),
        ('port', 7496),
        ('clientId', None),  # None generates a random clientid 1 -> 2^16
        ('notifyall', False),
        ('_debug', False),
        ('reconnect', 3),  # -1 forever, 0 No, > 0 number of retries
        ('timeout', 3.0),  # timeout between reconnections
        ('timeoffset', True),  # Use offset to server for timestamps if needed
        ('timerefresh', 60.0),  # How often to refresh the timeoffset
        ('indcash', True),  # Treat IND codes as CASH elements
    )

    @classmethod
    def getdata(cls, *args, **kwargs):
        '''Returns ``DataCls`` with args, kwargs'''
        return cls.DataCls(*args, **kwargs)

    @classmethod
    def getbroker(cls, *args, **kwargs):
        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''
        return cls.BrokerCls(*args, **kwargs)

    def __init__(self):
        super(IBStore, self).__init__()

        self._lock_q = threading.Lock()  # sync access to _tickerId/Queues
        self._lock_accupd = threading.Lock()  # sync account updates
        self._lock_pos = threading.Lock()  # sync account updates
        self._lock_notif = threading.Lock()  # sync access to notif queue

        # Account list received
        self._event_managed_accounts = threading.Event()
        self._event_accdownload = threading.Event()

        self.dontreconnect = False  # for non-recoverable connect errors

        self._env = None  # reference to cerebro for general notifications
        self.broker = None  # broker instance
        self.datas = list()  # datas that have registered over start
        self.ccount = 0  # requests to start (from cerebro or datas)

        self._lock_tmoffset = threading.Lock()
        self.tmoffset = timedelta()  # to control time difference with server

        # Structures to hold datas requests
        self.qs = collections.OrderedDict()  # key: tickerId -> queues
        self.ts = collections.OrderedDict()  # key: queue -> tickerId
        self.iscash = dict()  # tickerIds from cash products (for ex: EUR.JPY)

        self.histexreq = dict()  # holds segmented historical requests
        self.histfmt = dict()  # holds datetimeformat for request
        self.histsend = dict()  # holds sessionend (data time) for request
        self.histtz = dict()  # holds sessionend (data time) for request

        self.acc_cash = AutoDict()  # current total cash per account
        self.acc_value = AutoDict()  # current total value per account
        self.acc_upds = AutoDict()  # current account valueinfos per account

        self.port_update = False  # indicate whether to signal to broker

        self.positions = collections.defaultdict(Position)  # actual positions

        self._tickerId = itertools.count(self.REQIDBASE)  # unique tickerIds
        self.orderid = None  # next possible orderid (will be itertools.count)

        self.cdetails = collections.defaultdict(list)  # hold cdetails requests

        self.managed_accounts = list()  # received via managedAccounts

        self.notifs = queue.Queue()  # store notifications for cerebro

        # Use the provided clientId or a random one
        if self.p.clientId is None:
            self.clientId = random.randint(1, pow(2, 16) - 1)
        else:
            self.clientId = self.p.clientId

        # ibpy connection object
        self.conn = ibopt.ibConnection(
            host=self.p.host, port=self.p.port, clientId=self.clientId)

        # register a printall method if requested
        if self.p._debug or self.p.notifyall:
            self.conn.registerAll(self.watcher)

        # Register decorated methods with the conn
        methods = inspect.getmembers(self, inspect.ismethod)
        for name, method in methods:
            if not getattr(method, '_ibregister', False):
                continue

            message = getattr(ibopt.message, name)
            self.conn.register(method, message)

        # This utility key function transforms a barsize into a:
        #   (Timeframe, Compression) tuple which can be sorted
        def keyfn(x):
            n, t = x.split()
            tf, comp = self._sizes[t]
            return (tf, int(n) * comp)

        # This utility key function transforms a duration into a:
        #   (Timeframe, Compression) tuple which can be sorted
        def key2fn(x):
            n, d = x.split()
            tf = self._dur2tf[d]
            return (tf, int(n))

        # Generate a table of reverse durations
        self.revdur = collections.defaultdict(list)
        # The table (dict) is a ONE to MANY relation of
        #   duration -> barsizes
        # Here it is reversed to get a ONE to MANY relation of
        #   barsize -> durations
        for duration, barsizes in self._durations.items():
            for barsize in barsizes:
                self.revdur[keyfn(barsize)].append(duration)

        # Once managed, sort the durations according to real duration and not
        # to the text form using the utility key above
        for barsize in self.revdur:
            self.revdur[barsize].sort(key=key2fn)

    def start(self, data=None, broker=None):
        self.reconnect(fromstart=True)  # reconnect should be an invariant

        # Datas require some processing to kickstart data reception
        if data is not None:
            self._env = data._env
            # For datas simulate a queue with None to kickstart co
            self.datas.append(data)

            # if connection fails, get a fake registration that will force the
            # datas to try to reconnect or else bail out
            return self.getTickerQueue(start=True)

        elif broker is not None:
            self.broker = broker

    def stop(self):
        try:
            self.conn.disconnect()  # disconnect should be an invariant
        except AttributeError:
            pass    # conn may have never been connected and lack "disconnect"

        # Unblock any calls set on these events
        self._event_managed_accounts.set()
        self._event_accdownload.set()

    def logmsg(self, *args):
        # for logging purposes
        if self.p._debug:
            print(*args)

    def watcher(self, msg):
        # will be registered to see all messages if debug is requested
        self.logmsg(str(msg))
        if self.p.notifyall:
            self.notifs.put((msg, tuple(msg.values()), dict(msg.items())))

    def connected(self):
        # The isConnected method is available through __getattr__ indirections
        # and may not be present, which indicates that no connection has been
        # made because the subattribute sender has not yet been created, hence
        # the check for the AttributeError exception
        try:
            return self.conn.isConnected()
        except AttributeError:
            pass

        return False  # non-connected (including non-initialized)

    def reconnect(self, fromstart=False, resub=False):
        # This method must be an invariant in that it can be called several
        # times from the same source and must be consistent. An exampler would
        # be 5 datas which are being received simultaneously and all request a
        # reconnect

        # Policy:
        #  - if dontreconnect has been set, no option to connect is possible
        #  - check connection and use the absence of isConnected as signal of
        #    first ever connection (add 1 to retries too)
        #  - Calculate the retries (forever or not)
        #  - Try to connct
        #  - If achieved and fromstart is false, the datas will be
        #    re-kickstarted to recreate the subscription
        firstconnect = False
        try:
            if self.conn.isConnected():
                if resub:
                    self.startdatas()
                return True  # nothing to do
        except AttributeError:
            # Not connected, several __getattr__ indirections to
            # self.conn.sender.client.isConnected
            firstconnect = True

        if self.dontreconnect:
            return False

        # This is only invoked from the main thread by datas and therefore no
        # lock is needed to control synchronicity to it
        retries = self.p.reconnect
        if retries >= 0:
            retries += firstconnect

        while retries < 0 or retries:
            if not firstconnect:
                time.sleep(self.p.timeout)

            firstconnect = False

            if self.conn.connect():
                if not fromstart or resub:
                    self.startdatas()
                return True  # connection successful

            if retries > 0:
                retries -= 1

        self.dontreconnect = True
        return False  # connection/reconnection failed

    def startdatas(self):
        # kickstrat datas, not returning until all of them have been done
        ts = list()
        for data in self.datas:
            t = threading.Thread(target=data.reqdata)
            t.start()
            ts.append(t)

        for t in ts:
            t.join()

    def stopdatas(self):
        # stop subs and force datas out of the loop (in LIFO order)
        qs = list(self.qs.values())
        ts = list()
        for data in self.datas:
            t = threading.Thread(target=data.canceldata)
            t.start()
            ts.append(t)

        for t in ts:
            t.join()

        for q in reversed(qs):  # datamaster the last one to get a None
            q.put(None)

    def get_notifications(self):
        '''Return the pending "store" notifications'''
        # The background thread could keep on adding notifications. The None
        # mark allows to identify which is the last notification to deliver
        self.notifs.put(None)  # put a mark
        notifs = list()
        while True:
            notif = self.notifs.get()
            if notif is None:  # mark is reached
                break
            notifs.append(notif)

        return notifs

    @ibregister
    def error(self, msg):
        # 100-199 Order/Data/Historical related
        # 200-203 tickerId and Order Related
        # 300-399 A mix of things: orders, connectivity, tickers, misc errors
        # 400-449 Seem order related again
        # 500-531 Connectivity/Communication Errors
        # 10000-100027 Mix of special orders/routing
        # 1100-1102 TWS connectivy to the outside
        # 1300- Socket dropped in client-TWS communication
        # 2100-2110 Informative about Data Farm status (id=-1)

        # All errors are logged to the environment (cerebro), because many
        # errors in Interactive Brokers are actually informational and many may
        # actually be of interest to the user
        if not self.p.notifyall:
            self.notifs.put((msg, tuple(msg.values()), dict(msg.items())))

        # Manage those events which have to do with connection
        if msg.errorCode is None:
            # Usually received as an error in connection of just before disconn
            pass
        elif msg.errorCode in [200, 203, 162, 320, 321, 322]:
            # cdetails 200 security not found, notify over right queue
            # cdetails 203 security not allowed for acct
            try:
                q = self.qs[msg.id]
            except KeyError:
                pass  # should not happend but it can
            else:
                self.cancelQueue(q, True)

        elif msg.errorCode in [354, 420]:
            # 354 no subscription, 420 no real-time bar for contract
            # the calling data to let the data know ... it cannot resub
            try:
                q = self.qs[msg.id]
            except KeyError:
                pass  # should not happend but it can
            else:
                q.put(-msg.errorCode)
                self.cancelQueue(q)

        elif msg.errorCode == 10225:
            # 10225-Bust event occurred, current subscription is deactivated.
            # Please resubscribe real-time bars immediately.
            try:
                q = self.qs[msg.id]
            except KeyError:
                pass  # should not happend but it can
            else:
                q.put(-msg.errorCode)

        elif msg.errorCode == 326:  # not recoverable, clientId in use
            self.dontreconnect = True
            self.conn.disconnect()
            self.stopdatas()

        elif msg.errorCode == 502:
            # Cannot connect to TWS: port, config not open, tws off (504 then)
            self.conn.disconnect()
            self.stopdatas()

        elif msg.errorCode == 504:  # Not Connected for data op
            # Once for each data
            pass  # don't need to manage it

        elif msg.errorCode == 1300:
            # TWS has been closed. The port for a new connection is there
            # newport = int(msg.errorMsg.split('-')[-1])  # bla bla bla -7496
            self.conn.disconnect()
            self.stopdatas()

        elif msg.errorCode == 1100:
            # Connection lost - Notify ... datas will wait on the queue
            # with no messages arriving
            for q in self.ts:  # key: queue -> ticker
                q.put(-msg.errorCode)

        elif msg.errorCode == 1101:
            # Connection restored and tickerIds are gone
            for q in self.ts:  # key: queue -> ticker
                q.put(-msg.errorCode)

        elif msg.errorCode == 1102:
            # Connection restored and tickerIds maintained
            for q in self.ts:  # key: queue -> ticker
                q.put(-msg.errorCode)

        elif msg.errorCode < 500:
            # Given the myriad of errorCodes, start by assuming is an order
            # error and if not, the checks there will let it go
            if msg.id < self.REQIDBASE:
                if self.broker is not None:
                    self.broker.push_ordererror(msg)
            else:
                # Cancel the queue if a "data" reqId error is given: sanity
                q = self.qs[msg.id]
                self.cancelQueue(q, True)

    @ibregister
    def connectionClosed(self, msg):
        # Sometmes this comes without 1300/502 or any other and will not be
        # seen in error hence the need to manage the situation independently
        self.conn.disconnect()
        self.stopdatas()

    @ibregister
    def managedAccounts(self, msg):
        # 1st message in the stream
        self.managed_accounts = msg.accountsList.split(',')
        self._event_managed_accounts.set()

        # Request time to avoid synchronization issues
        self.reqCurrentTime()

    def reqCurrentTime(self):
        self.conn.reqCurrentTime()

    @ibregister
    def currentTime(self, msg):
        if not self.p.timeoffset:  # only if requested ... apply timeoffset
            return
        curtime = datetime.fromtimestamp(float(msg.time))
        with self._lock_tmoffset:
            self.tmoffset = curtime - datetime.now()

        threading.Timer(self.p.timerefresh, self.reqCurrentTime).start()

    def timeoffset(self):
        with self._lock_tmoffset:
            return self.tmoffset

    def nextTickerId(self):
        # Get the next ticker using next on the itertools.count
        return next(self._tickerId)

    @ibregister
    def nextValidId(self, msg):
        # Create a counter from the TWS notified value to apply to orders
        self.orderid = itertools.count(msg.orderId)

    def nextOrderId(self):
        # Get the next ticker using next on the itertools.count made with the
        # notified value from TWS
        return next(self.orderid)

    def reuseQueue(self, tickerId):
        '''Reuses queue for tickerId, returning the new tickerId and q'''
        with self._lock_q:
            # Invalidate tickerId in qs (where it is a key)
            q = self.qs.pop(tickerId, None)  # invalidate old
            iscash = self.iscash.pop(tickerId, None)

            # Update ts: q -> ticker
            tickerId = self.nextTickerId()  # get new tickerId
            self.ts[q] = tickerId  # Update ts: q -> tickerId
            self.qs[tickerId] = q  # Update qs: tickerId -> q
            self.iscash[tickerId] = iscash

        return tickerId, q

    def getTickerQueue(self, start=False):
        '''Creates ticker/Queue for data delivery to a data feed'''
        q = queue.Queue()
        if start:
            q.put(None)
            return q

        with self._lock_q:
            tickerId = self.nextTickerId()
            self.qs[tickerId] = q  # can be managed from other thread
            self.ts[q] = tickerId
            self.iscash[tickerId] = False

        return tickerId, q

    def cancelQueue(self, q, sendnone=False):
        '''Cancels a Queue for data delivery'''
        # pop ts (tickers) and with the result qs (queues)
        tickerId = self.ts.pop(q, None)
        self.qs.pop(tickerId, None)

        self.iscash.pop(tickerId, None)

        if sendnone:
            q.put(None)

    def validQueue(self, q):
        '''Returns (bool)  if a queue is still valid'''
        return q in self.ts  # queue -> ticker

    def getContractDetails(self, contract, maxcount=None):
        cds = list()
        q = self.reqContractDetails(contract)
        while True:
            msg = q.get()
            if msg is None:
                break
            cds.append(msg)

        if not cds or (maxcount and len(cds) > maxcount):
            err = 'Ambiguous contract: none/multiple answers received'
            self.notifs.put((err, cds, {}))
            return None

        return cds

    def reqContractDetails(self, contract):
        # get a ticker/queue for identification/data delivery
        tickerId, q = self.getTickerQueue()
        self.conn.reqContractDetails(tickerId, contract)
        return q

    @ibregister
    def contractDetailsEnd(self, msg):
        '''Signal end of contractdetails'''
        self.cancelQueue(self.qs[msg.reqId], True)

    @ibregister
    def contractDetails(self, msg):
        '''Receive answer and pass it to the queue'''
        self.qs[msg.reqId].put(msg)

    def reqHistoricalDataEx(self, contract, enddate, begindate,
                            timeframe, compression,
                            what=None, useRTH=False, tz='', sessionend=None,
                            tickerId=None):
        '''
        Extension of the raw reqHistoricalData proxy, which takes two dates
        rather than a duration, barsize and date

        It uses the IB published valid duration/barsizes to make a mapping and
        spread a historical request over several historical requests if needed
        '''
        # Keep a copy for error reporting purposes
        kwargs = locals().copy()
        kwargs.pop('self', None)  # remove self, no need to report it

        if timeframe < TimeFrame.Seconds:
            # Ticks are not supported
            return self.getTickerQueue(start=True)

        if enddate is None:
            enddate = datetime.now()

        if begindate is None:
            duration = self.getmaxduration(timeframe, compression)
            if duration is None:
                err = ('No duration for historical data request for '
                       'timeframe/compresison')
                self.notifs.put((err, (), kwargs))
                return self.getTickerQueue(start=True)
            barsize = self.tfcomp_to_size(timeframe, compression)
            if barsize is None:
                err = ('No supported barsize for historical data request for '
                       'timeframe/compresison')
                self.notifs.put((err, (), kwargs))
                return self.getTickerQueue(start=True)

            return self.reqHistoricalData(contract=contract, enddate=enddate,
                                          duration=duration, barsize=barsize,
                                          what=what, useRTH=useRTH, tz=tz,
                                          sessionend=sessionend)

        # Check if the requested timeframe/compression is supported by IB
        durations = self.getdurations(timeframe, compression)
        if not durations:  # return a queue and put a None in it
            return self.getTickerQueue(start=True)

        # Get or reuse a queue
        if tickerId is None:
            tickerId, q = self.getTickerQueue()
        else:
            tickerId, q = self.reuseQueue(tickerId)  # reuse q for old tickerId

        # Get the best possible duration to reduce number of requests
        duration = None
        for dur in durations:
            intdate = self.dt_plus_duration(begindate, dur)
            if intdate >= enddate:
                intdate = enddate
                duration = dur  # begin -> end fits in single request
                break

        if duration is None:  # no duration large enough to fit the request
            duration = durations[-1]

            # Store the calculated data
            self.histexreq[tickerId] = dict(
                contract=contract, enddate=enddate, begindate=intdate,
                timeframe=timeframe, compression=compression,
                what=what, useRTH=useRTH, tz=tz, sessionend=sessionend)

        barsize = self.tfcomp_to_size(timeframe, compression)
        self.histfmt[tickerId] = timeframe >= TimeFrame.Days
        self.histsend[tickerId] = sessionend
        self.histtz[tickerId] = tz

        if contract.m_secType in ['CASH', 'CFD']:
            self.iscash[tickerId] = 1  # msg.field code
            if not what:
                what = 'BID'  # default for cash unless otherwise specified

        elif contract.m_secType in ['IND'] and self.p.indcash:
            self.iscash[tickerId] = 4  # msg.field code

        what = what or 'TRADES'

        self.conn.reqHistoricalData(
            tickerId,
            contract,
            bytes(intdate.strftime('%Y%m%d %H:%M:%S') + ' GMT'),
            bytes(duration),
            bytes(barsize),
            bytes(what),
            int(useRTH),
            2)  # dateformat 1 for string, 2 for unix time in seconds

        return q

    def reqHistoricalData(self, contract, enddate, duration, barsize,
                          what=None, useRTH=False, tz='', sessionend=None):
        '''Proxy to reqHistorical Data'''

        # get a ticker/queue for identification/data delivery
        tickerId, q = self.getTickerQueue()

        if contract.m_secType in ['CASH', 'CFD']:
            self.iscash[tickerId] = True
            if not what:
                what = 'BID'  # TRADES doesn't work
            elif what == 'ASK':
                self.iscash[tickerId] = 2
        else:
            what = what or 'TRADES'

        # split barsize "x time", look in sizes for (tf, comp) get tf
        tframe = self._sizes[barsize.split()[1]][0]
        self.histfmt[tickerId] = tframe >= TimeFrame.Days
        self.histsend[tickerId] = sessionend
        self.histtz[tickerId] = tz

        self.conn.reqHistoricalData(
            tickerId,
            contract,
            bytes(enddate.strftime('%Y%m%d %H:%M:%S') + ' GMT'),
            bytes(duration),
            bytes(barsize),
            bytes(what),
            int(useRTH),
            2)

        return q

    def cancelHistoricalData(self, q):
        '''Cancels an existing HistoricalData request

        Params:
          - q: the Queue returned by reqMktData
        '''
        with self._lock_q:
            self.conn.cancelHistoricalData(self.ts[q])
            self.cancelQueue(q, True)

    def reqRealTimeBars(self, contract, useRTH=False, duration=5):
        '''Creates a request for (5 seconds) Real Time Bars

        Params:
          - contract: a ib.ext.Contract.Contract intance
          - useRTH: (default: False) passed to TWS
          - duration: (default: 5) passed to TWS, no other value works in 2016)

        Returns:
          - a Queue the client can wait on to receive a RTVolume instance
        '''
        # get a ticker/queue for identification/data delivery
        tickerId, q = self.getTickerQueue()

        # 20150929 - Only 5 secs supported for duration
        self.conn.reqRealTimeBars(
            tickerId,
            contract,
            duration,
            bytes('TRADES'),
            int(useRTH))

        return q

    def cancelRealTimeBars(self, q):
        '''Cancels an existing MarketData subscription

        Params:
          - q: the Queue returned by reqMktData
        '''
        with self._lock_q:
            tickerId = self.ts.get(q, None)
            if tickerId is not None:
                self.conn.cancelRealTimeBars(tickerId)

            self.cancelQueue(q, True)

    def reqMktData(self, contract, what=None):
        '''Creates a MarketData subscription

        Params:
          - contract: a ib.ext.Contract.Contract intance

        Returns:
          - a Queue the client can wait on to receive a RTVolume instance
        '''
        # get a ticker/queue for identification/data delivery
        tickerId, q = self.getTickerQueue()
        ticks = '233'  # request RTVOLUME tick delivered over tickString

        if contract.m_secType in ['CASH', 'CFD']:
            self.iscash[tickerId] = True
            ticks = ''  # cash markets do not get RTVOLUME
            if what == 'ASK':
                self.iscash[tickerId] = 2

        # q.put(None)  # to kickstart backfilling
        # Can request 233 also for cash ... nothing will arrive
        self.conn.reqMktData(tickerId, contract, bytes(ticks), False)
        return q

    def cancelMktData(self, q):
        '''Cancels an existing MarketData subscription

        Params:
          - q: the Queue returned by reqMktData
        '''
        with self._lock_q:
            tickerId = self.ts.get(q, None)
            if tickerId is not None:
                self.conn.cancelMktData(tickerId)

            self.cancelQueue(q, True)

    @ibregister
    def tickString(self, msg):
        # Receive and process a tickString message
        if msg.tickType == 48:  # RTVolume
            try:
                rtvol = RTVolume(msg.value)
            except ValueError:  # price not in message ...
                pass
            else:
                # Don't need to adjust the time, because it is in "timestamp"
                # form in the message
                self.qs[msg.tickerId].put(rtvol)

    @ibregister
    def tickPrice(self, msg):
        '''Cash Markets have no notion of "last_price"/"last_size" and the
        tracking of the price is done (industry de-facto standard at least with
        the IB API) following the BID price

        A RTVolume which will only contain a price is put into the client's
        queue to have a consistent cross-market interface
        '''
        # Used for "CASH" markets
        # The price field has been seen to be missing in some instances even if
        # "field" is 1
        tickerId = msg.tickerId
        fieldcode = self.iscash[tickerId]
        if fieldcode:
            if msg.field == fieldcode:  # Expected cash field code
                try:
                    if msg.price == -1.0:
                        # seems to indicate the stream is halted for example in
                        # between 23:00 - 23:15 CET for FOREX
                        return
                except AttributeError:
                    pass

                try:
                    rtvol = RTVolume(price=msg.price, tmoffset=self.tmoffset)
                    # print('rtvol with datetime:', rtvol.datetime)
                except ValueError:  # price not in message ...
                    pass
                else:
                    self.qs[tickerId].put(rtvol)

    @ibregister
    def realtimeBar(self, msg):
        '''Receives x seconds Real Time Bars (at the time of writing only 5
        seconds are supported)

        Not valid for cash markets
        '''
        # Get a naive localtime object
        msg.time = datetime.utcfromtimestamp(float(msg.time))
        self.qs[msg.reqId].put(msg)

    @ibregister
    def historicalData(self, msg):
        '''Receives the events of a historical data request'''
        # For multi-tiered downloads we'd need to rebind the queue to a new
        # tickerId (in case tickerIds are not reusable) and instead of putting
        # None, issue a new reqHistData with the new data and move formward
        tickerId = msg.reqId
        q = self.qs[tickerId]
        if msg.date.startswith('finished-'):
            self.histfmt.pop(tickerId, None)
            self.histsend.pop(tickerId, None)
            self.histtz.pop(tickerId, None)
            kargs = self.histexreq.pop(tickerId, None)
            if kargs is not None:
                self.reqHistoricalDataEx(tickerId=tickerId, **kargs)
                return

            msg.date = None
            self.cancelQueue(q)
        else:
            dtstr = msg.date  # Format when string req: YYYYMMDD[  HH:MM:SS]
            if self.histfmt[tickerId]:
                sessionend = self.histsend[tickerId]
                dt = datetime.strptime(dtstr, '%Y%m%d')
                dteos = datetime.combine(dt, sessionend)
                tz = self.histtz[tickerId]
                if tz:
                    dteostz = tz.localize(dteos)
                    dteosutc = dteostz.astimezone(UTC).replace(tzinfo=None)
                    # When requesting for example daily bars, the current day
                    # will be returned with the already happened data. If the
                    # session end were added, the new ticks wouldn't make it
                    # through, because they happen before the end of time
                else:
                    dteosutc = dteos

                if dteosutc <= datetime.utcnow():
                    dt = dteosutc

                msg.date = dt
            else:
                msg.date = datetime.utcfromtimestamp(long(dtstr))

        q.put(msg)

    # The _durations are meant to calculate the needed historical data to
    # perform backfilling at the start of a connetion or a connection is lost.
    # Using a timedelta as a key allows to quickly find out which bar size
    # bar size (values in the tuples int the dict) can be used.

    _durations = dict([
        # 60 seconds - 1 min
        ('60 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min')),

        # 120 seconds - 2 mins
        ('120 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins')),

        # 180 seconds - 3 mins
        ('180 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins')),

        # 300 seconds - 5 mins
        ('300 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins')),

        # 600 seconds - 10 mins
        ('600 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins')),

        # 900 seconds - 15 mins
        ('900 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins')),

        # 1200 seconds - 20 mins
        ('1200 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins')),

        # 1800 seconds - 30 mins
        ('1800 S',
         ('1 secs', '5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins')),

        # 3600 seconds - 1 hour
        ('3600 S',
         ('5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour')),

        # 7200 seconds - 2 hours
        ('7200 S',
         ('5 secs', '10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours')),

        # 10800 seconds - 3 hours
        ('10800 S',
         ('10 secs', '15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours')),

        # 14400 seconds - 4 hours
        ('14400 S',
         ('15 secs', '30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours')),

        # 28800 seconds - 8 hours
        ('28800 S',
         ('30 secs',
          '1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours')),

        # 1 days
        ('1 D',
         ('1 min', '2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',
          '1 day')),

        # 2 days
        ('2 D',
         ('2 mins', '3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',
          '1 day')),

        # 1 weeks
        ('1 W',
         ('3 mins', '5 mins', '10 mins', '15 mins',
          '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',
          '1 day', '1 W')),

        # 2 weeks
        ('2 W',
         ('15 mins', '20 mins', '30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',
          '1 day', '1 W')),

        # 1 months
        ('1 M',
         ('30 mins',
          '1 hour', '2 hours', '3 hours', '4 hours', '8 hours',
          '1 day', '1 W', '1 M')),

        # 2+ months
        ('2 M', ('1 day', '1 W', '1 M')),
        ('3 M', ('1 day', '1 W', '1 M')),
        ('4 M', ('1 day', '1 W', '1 M')),
        ('5 M', ('1 day', '1 W', '1 M')),
        ('6 M', ('1 day', '1 W', '1 M')),
        ('7 M', ('1 day', '1 W', '1 M')),
        ('8 M', ('1 day', '1 W', '1 M')),
        ('9 M', ('1 day', '1 W', '1 M')),
        ('10 M', ('1 day', '1 W', '1 M')),
        ('11 M', ('1 day', '1 W', '1 M')),

        # 1+ years
        ('1 Y',  ('1 day', '1 W', '1 M')),
    ])

    # Sizes allow for quick translation from bar sizes above to actual
    # timeframes to make a comparison with the actual data
    _sizes = {
        'secs': (TimeFrame.Seconds, 1),
        'min': (TimeFrame.Minutes, 1),
        'mins': (TimeFrame.Minutes, 1),
        'hour': (TimeFrame.Minutes, 60),
        'hours': (TimeFrame.Minutes, 60),
        'day': (TimeFrame.Days, 1),
        'W': (TimeFrame.Weeks, 1),
        'M': (TimeFrame.Months, 1),
    }

    _dur2tf = {
        'S': TimeFrame.Seconds,
        'D': TimeFrame.Days,
        'W': TimeFrame.Weeks,
        'M': TimeFrame.Months,
        'Y': TimeFrame.Years,
    }

    def getdurations(self,  timeframe, compression):
        key = (timeframe, compression)
        if key not in self.revdur:
            return []

        return self.revdur[key]

    def getmaxduration(self, timeframe, compression):
        key = (timeframe, compression)
        try:
            return self.revdur[key][-1]
        except (KeyError, IndexError):
            pass

        return None

    def tfcomp_to_size(self, timeframe, compression):
        if timeframe == TimeFrame.Months:
            return '{} M'.format(compression)

        if timeframe == TimeFrame.Weeks:
            return '{} W'.format(compression)

        if timeframe == TimeFrame.Days:
            if not compression % 7:
                return '{} W'.format(compression // 7)

            return '{} day'.format(compression)

        if timeframe == TimeFrame.Minutes:
            if not compression % 60:
                hours = compression // 60
                return ('{} hour'.format(hours)) + ('s' * (hours > 1))

            return ('{} min'.format(compression)) + ('s' * (compression > 1))

        if timeframe == TimeFrame.Seconds:
            return '{} secs'.format(compression)

        # Microseconds or ticks
        return None

    def dt_plus_duration(self, dt, duration):
        size, dim = duration.split()
        size = int(size)
        if dim == 'S':
            return dt + timedelta(seconds=size)

        if dim == 'D':
            return dt + timedelta(days=size)

        if dim == 'W':
            return dt + timedelta(days=size * 7)

        if dim == 'M':
            month = dt.month - 1 + size  # -1 to make it 0 based, readd below
            years, month = divmod(month, 12)
            return dt.replace(year=dt.year + years, month=month + 1)

        if dim == 'Y':
            return dt.replace(year=dt.year + size)

        return dt  # could do nothing with it ... return it intact

    def calcdurations(self, dtbegin, dtend):
        '''Calculate a duration in between 2 datetimes'''
        duration = self.histduration(dtbegin, dtend)

        if duration[-1] == 'M':
            m = int(duration.split()[0])
            m1 = min(2, m)  # (2, 1) -> 1, (2, 7) -> 2. Bottomline: 1 or 2
            m2 = max(1, m1)  # m1 can only be 1 or 2
            checkdur = '{} M'.format(m2)
        elif duration[-1] == 'Y':
            checkdur = '1 Y'
        else:
            checkdur = duration

        sizes = self._durations[checkduration]
        return duration, sizes

    def calcduration(self, dtbegin, dtend):
        '''Calculate a duration in between 2 datetimes. Returns single size'''
        duration, sizes = self._calcdurations(dtbegin, dtend)
        return duration, sizes[0]

    def histduration(self, dt1, dt2):
        # Given two dates calculates the smallest possible duration according
        # to the table from the Historical Data API limitations provided by IB
        #
        # Seconds: 'x S' (x: [60, 120, 180, 300, 600, 900, 1200, 1800, 3600,
        #                     7200, 10800, 14400, 28800])
        # Days: 'x D' (x: [1, 2]
        # Weeks: 'x W' (x: [1, 2])
        # Months: 'x M' (x: [1, 11])
        # Years: 'x Y' (x: [1])

        td = dt2 - dt1  # get a timedelta for calculations

        # First: array of secs
        tsecs = td.total_seconds()
        secs = [60, 120, 180, 300, 600, 900, 1200, 1800, 3600, 7200, 10800,
                14400, 28800]

        idxsec = bisect.bisect_left(secs, tsecs)
        if idxsec < len(secs):
            return '{} S'.format(secs[idxsec])

        tdextra = bool(td.seconds or td.microseconds)  # over days/weeks

        # Next: 1 or 2 days
        days = td.days + tdextra
        if td.days <= 2:
            return '{} D'.format(days)

        # Next: 1 or 2 weeks
        weeks, d = divmod(td.days, 7)
        weeks += bool(d or tdextra)
        if weeks <= 2:
            return '{} W'.format(weeks)

        # Get references to dt components
        y2, m2, d2 = dt2.year, dt2.month, dt2.day
        y1, m1, d1 = dt1.year, dt1.month, dt2.day

        H2, M2, S2, US2 = dt2.hour, dt2.minute, dt2.second, dt2.microsecond
        H1, M1, S1, US1 = dt1.hour, dt1.minute, dt1.second, dt1.microsecond

        # Next: 1 -> 11 months (11 incl)
        months = (y2 * 12 + m2) - (y1 * 12 + m1) + (
            (d2, H2, M2, S2, US2) > (d1, H1, M1, S1, US1))
        if months <= 1:  # months <= 11
            return '1 M'  # return '{} M'.format(months)
        elif months <= 11:
            return '2 M'  # cap at 2 months to keep the table clean

        # Next: years
        # y = y2 - y1 + (m2, d2, H2, M2, S2, US2) > (m1, d1, H1, M1, S1, US1)
        # return '{} Y'.format(y)

        return '1 Y'  # to keep the table clean

    def makecontract(self, symbol, sectype, exch, curr,
                     expiry='', strike=0.0, right='', mult=1):
        '''returns a contract from the parameters without check'''

        contract = Contract()
        contract.m_symbol = bytes(symbol)
        contract.m_secType = bytes(sectype)
        contract.m_exchange = bytes(exch)
        if curr:
            contract.m_currency = bytes(curr)
        if sectype in ['FUT', 'OPT', 'FOP']:
            contract.m_expiry = bytes(expiry)
        if sectype in ['OPT', 'FOP']:
            contract.m_strike = strike
            contract.m_right = bytes(right)
        if mult:
            contract.m_multiplier = bytes(mult)
        return contract

    def cancelOrder(self, orderid):
        '''Proxy to cancelOrder'''
        self.conn.cancelOrder(orderid)

    def placeOrder(self, orderid, contract, order):
        '''Proxy to placeOrder'''
        self.conn.placeOrder(orderid, contract, order)

    @ibregister
    def openOrder(self, msg):
        '''Receive the event ``openOrder`` events'''
        self.broker.push_orderstate(msg)

    @ibregister
    def execDetails(self, msg):
        '''Receive execDetails'''
        self.broker.push_execution(msg.execution)

    @ibregister
    def orderStatus(self, msg):
        '''Receive the event ``orderStatus``'''
        self.broker.push_orderstatus(msg)

    @ibregister
    def commissionReport(self, msg):
        '''Receive the event commissionReport'''
        self.broker.push_commissionreport(msg.commissionReport)

    def reqPositions(self):
        '''Proxy to reqPositions'''
        self.conn.reqPositions()

    @ibregister
    def position(self, msg):
        '''Receive event positions'''
        pass  # Not implemented yet

    def reqAccountUpdates(self, subscribe=True, account=None):
        '''Proxy to reqAccountUpdates

        If ``account`` is ``None``, wait for the ``managedAccounts`` message to
        set the account codes
        '''
        if account is None:
            self._event_managed_accounts.wait()
            account = self.managed_accounts[0]

        self.conn.reqAccountUpdates(subscribe, bytes(account))

    @ibregister
    def accountDownloadEnd(self, msg):
        # Signals the end of an account update
        # the event indicates it's over. It's only false once, and can be used
        # to find out if it has at least been downloaded once
        self._event_accdownload.set()
        if False:
            if self.port_update:
                self.broker.push_portupdate()

                self.port_update = False

    @ibregister
    def updatePortfolio(self, msg):
        # Lock access to the position dicts. This is called in sub-thread and
        # can kick in at any time
        with self._lock_pos:
            if not self._event_accdownload.is_set():  # 1st event seen
                position = Position(msg.position, msg.averageCost)
                self.positions[msg.contract.m_conId] = position
            else:
                position = self.positions[msg.contract.m_conId]
                if not position.fix(msg.position, msg.averageCost):
                    err = ('The current calculated position and '
                           'the position reported by the broker do not match. '
                           'Operation can continue, but the trades '
                           'calculated in the strategy may be wrong')

                    self.notifs.put((err, (), {}))

                # Flag signal to broker at the end of account download
                # self.port_update = True
                self.broker.push_portupdate()

    def getposition(self, contract, clone=False):
        # Lock access to the position dicts. This is called from main thread
        # and updates could be happening in the background
        with self._lock_pos:
            position = self.positions[contract.m_conId]
            if clone:
                return copy(position)

            return position

    @ibregister
    def updateAccountValue(self, msg):
        # Lock access to the dicts where values are updated. This happens in a
        # sub-thread and could kick it at anytime
        with self._lock_accupd:
            try:
                value = float(msg.value)
            except ValueError:
                value = msg.value

            self.acc_upds[msg.accountName][msg.key][msg.currency] = value

            if msg.key == 'NetLiquidation':
                # NetLiquidationByCurrency and currency == 'BASE' is the same
                self.acc_value[msg.accountName] = value
            elif msg.key == 'TotalCashBalance' and msg.currency == 'BASE':
                self.acc_cash[msg.accountName] = value

    def get_acc_values(self, account=None):
        '''Returns all account value infos sent by TWS during regular updates
        Waits for at least 1 successful download

        If ``account`` is ``None`` then a dictionary with accounts as keys will
        be returned containing all accounts

        If account is specified or the system has only 1 account the dictionary
        corresponding to that account is returned
        '''
        # Wait for at least 1 account update download to have been finished
        # before the account infos can be returned to the calling client
        if self.connected():
            self._event_accdownload.wait()
        # Lock access to acc_cash to avoid an event intefering
        with self._updacclock:
            if account is None:
                # wait for the managedAccount Messages
                if self.connected():
                    self._event_managed_accounts.wait()

                if not self.managed_accounts:
                    return self.acc_upds.copy()

                elif len(self.managed_accounts) > 1:
                    return self.acc_upds.copy()

                # Only 1 account, fall through to return only 1
                account = self.managed_accounts[0]

            try:
                return self.acc_upds[account].copy()
            except KeyError:
                pass

            return self.acc_upds.copy()

    def get_acc_value(self, account=None):
        '''Returns the net liquidation value sent by TWS during regular updates
        Waits for at least 1 successful download

        If ``account`` is ``None`` then a dictionary with accounts as keys will
        be returned containing all accounts

        If account is specified or the system has only 1 account the dictionary
        corresponding to that account is returned
        '''
        # Wait for at least 1 account update download to have been finished
        # before the value can be returned to the calling client
        if self.connected():
            self._event_accdownload.wait()
        # Lock access to acc_cash to avoid an event intefering
        with self._lock_accupd:
            if account is None:
                # wait for the managedAccount Messages
                if self.connected():
                    self._event_managed_accounts.wait()

                if not self.managed_accounts:
                    return float()

                elif len(self.managed_accounts) > 1:
                    return sum(self.acc_value.values())

                # Only 1 account, fall through to return only 1
                account = self.managed_accounts[0]

            try:
                return self.acc_value[account]
            except KeyError:
                pass

            return float()

    def get_acc_cash(self, account=None):
        '''Returns the total cash value sent by TWS during regular updates
        Waits for at least 1 successful download

        If ``account`` is ``None`` then a dictionary with accounts as keys will
        be returned containing all accounts

        If account is specified or the system has only 1 account the dictionary
        corresponding to that account is returned
        '''
        # Wait for at least 1 account update download to have been finished
        # before the cash can be returned to the calling client
        if self.connected():
            self._event_accdownload.wait()
        # Lock access to acc_cash to avoid an event intefering
        with self._lock_accupd:
            if account is None:
                # wait for the managedAccount Messages
                if self.connected():
                    self._event_managed_accounts.wait()

                if not self.managed_accounts:
                    return float()

                elif len(self.managed_accounts) > 1:
                    return sum(self.acc_cash.values())

                # Only 1 account, fall through to return only 1
                account = self.managed_accounts[0]

            try:
                return self.acc_cash[account]
            except KeyError:
                pass


================================================
FILE: backtrader/stores/oandastore.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
from datetime import datetime, timedelta
import time as _time
import json
import threading

import oandapy
import requests  # oandapy depdendency

import backtrader as bt
from backtrader.metabase import MetaParams
from backtrader.utils.py3 import queue, with_metaclass
from backtrader.utils import AutoDict


# Extend the exceptions to support extra cases

class OandaRequestError(oandapy.OandaError):
    def __init__(self):
        er = dict(code=599, message='Request Error', description='')
        super(self.__class__, self).__init__(er)


class OandaStreamError(oandapy.OandaError):
    def __init__(self, content=''):
        er = dict(code=598, message='Failed Streaming', description=content)
        super(self.__class__, self).__init__(er)


class OandaTimeFrameError(oandapy.OandaError):
    def __init__(self, content):
        er = dict(code=597, message='Not supported TimeFrame', description='')
        super(self.__class__, self).__init__(er)


class OandaNetworkError(oandapy.OandaError):
    def __init__(self):
        er = dict(code=596, message='Network Error', description='')
        super(self.__class__, self).__init__(er)


class API(oandapy.API):
    def request(self, endpoint, method='GET', params=None):
        # Overriden to make something sensible out of a
        # request.RequestException rather than simply issuing a print(str(e))
        url = '%s/%s' % (self.api_url, endpoint)

        method = method.lower()
        params = params or {}

        func = getattr(self.client, method)

        request_args = {}
        if method == 'get':
            request_args['params'] = params
        else:
            request_args['data'] = params

        # Added the try block
        try:
            response = func(url, **request_args)
        except requests.RequestException as e:
            return OandaRequestError().error_response

        content = response.content.decode('utf-8')
        content = json.loads(content)

        # error message
        if response.status_code >= 400:
            # changed from raise to return
            return oandapy.OandaError(content).error_response

        return content


class Streamer(oandapy.Streamer):
    def __init__(self, q, headers=None, *args, **kwargs):
        # Override to provide headers, which is in the standard API interface
        super(Streamer, self).__init__(*args, **kwargs)

        if headers:
            self.client.headers.update(headers)

        self.q = q

    def run(self, endpoint, params=None):
        # Override to better manage exceptions.
        # Kept as much as possible close to the original
        self.connected = True

        params = params or {}

        ignore_heartbeat = None
        if 'ignore_heartbeat' in params:
            ignore_heartbeat = params['ignore_heartbeat']

        request_args = {}
        request_args['params'] = params

        url = '%s/%s' % (self.api_url, endpoint)

        while self.connected:
            # Added exception control here
            try:
                response = self.client.get(url, **request_args)
            except requests.RequestException as e:
                self.q.put(OandaRequestError().error_response)
                break

            if response.status_code != 200:
                self.on_error(response.content)
                break  # added break here

            # Changed chunk_size 90 -> None
            try:
                for line in response.iter_lines(chunk_size=None):
                    if not self.connected:
                        break

                    if line:
                        data = json.loads(line.decode('utf-8'))
                        if not (ignore_heartbeat and 'heartbeat' in data):
                            self.on_success(data)

            except:  # socket.error has been seen
                self.q.put(OandaStreamError().error_response)
                break

    def on_success(self, data):
        if 'tick' in data:
            self.q.put(data['tick'])
        elif 'transaction' in data:
            self.q.put(data['transaction'])

    def on_error(self, data):
        self.disconnect()
        self.q.put(OandaStreamError(data).error_response)


class MetaSingleton(MetaParams):
    '''Metaclass to make a metaclassed class a singleton'''
    def __init__(cls, name, bases, dct):
        super(MetaSingleton, cls).__init__(name, bases, dct)
        cls._singleton = None

    def __call__(cls, *args, **kwargs):
        if cls._singleton is None:
            cls._singleton = (
                super(MetaSingleton, cls).__call__(*args, **kwargs))

        return cls._singleton


class OandaStore(with_metaclass(MetaSingleton, object)):
    '''Singleton class wrapping to control the connections to Oanda.

    Params:

      - ``token`` (default:``None``): API access token

      - ``account`` (default: ``None``): account id

      - ``practice`` (default: ``False``): use the test environment

      - ``account_tmout`` (default: ``10.0``): refresh period for account
        value/cash refresh
    '''

    BrokerCls = None  # broker class will autoregister
    DataCls = None  # data class will auto register

    params = (
        ('token', ''),
        ('account', ''),
        ('practice', False),
        ('account_tmout', 10.0),  # account balance refresh timeout
    )

    _DTEPOCH = datetime(1970, 1, 1)
    _ENVPRACTICE = 'practice'
    _ENVLIVE = 'live'

    @classmethod
    def getdata(cls, *args, **kwargs):
        '''Returns ``DataCls`` with args, kwargs'''
        return cls.DataCls(*args, **kwargs)

    @classmethod
    def getbroker(cls, *args, **kwargs):
        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''
        return cls.BrokerCls(*args, **kwargs)

    def __init__(self):
        super(OandaStore, self).__init__()

        self.notifs = collections.deque()  # store notifications for cerebro

        self._env = None  # reference to cerebro for general notifications
        self.broker = None  # broker instance
        self.datas = list()  # datas that have registered over start

        self._orders = collections.OrderedDict()  # map order.ref to oid
        self._ordersrev = collections.OrderedDict()  # map oid to order.ref
        self._transpend = collections.defaultdict(collections.deque)

        self._oenv = self._ENVPRACTICE if self.p.practice else self._ENVLIVE
        self.oapi = API(environment=self._oenv,
                        access_token=self.p.token,
                        headers={'X-Accept-Datetime-Format': 'UNIX'})

        self._cash = 0.0
        self._value = 0.0
        self._evt_acct = threading.Event()

    def start(self, data=None, broker=None):
        # Datas require some processing to kickstart data reception
        if data is None and broker is None:
            self.cash = None
            return

        if data is not None:
            self._env = data._env
            # For datas simulate a queue with None to kickstart co
            self.datas.append(data)

            if self.broker is not None:
                self.broker.data_started(data)

        elif broker is not None:
            self.broker = broker
            self.streaming_events()
            self.broker_threads()

    def stop(self):
        # signal end of thread
        if self.broker is not None:
            self.q_ordercreate.put(None)
            self.q_orderclose.put(None)
            self.q_account.put(None)

    def put_notification(self, msg, *args, **kwargs):
        self.notifs.append((msg, args, kwargs))

    def get_notifications(self):
        '''Return the pending "store" notifications'''
        self.notifs.append(None)  # put a mark / threads could still append
        return [x for x in iter(self.notifs.popleft, None)]

    # Oanda supported granularities
    _GRANULARITIES = {
        (bt.TimeFrame.Seconds, 5): 'S5',
        (bt.TimeFrame.Seconds, 10): 'S10',
        (bt.TimeFrame.Seconds, 15): 'S15',
        (bt.TimeFrame.Seconds, 30): 'S30',
        (bt.TimeFrame.Minutes, 1): 'M1',
        (bt.TimeFrame.Minutes, 2): 'M3',
        (bt.TimeFrame.Minutes, 3): 'M3',
        (bt.TimeFrame.Minutes, 4): 'M4',
        (bt.TimeFrame.Minutes, 5): 'M5',
        (bt.TimeFrame.Minutes, 10): 'M5',
        (bt.TimeFrame.Minutes, 15): 'M5',
        (bt.TimeFrame.Minutes, 30): 'M5',
        (bt.TimeFrame.Minutes, 60): 'H1',
        (bt.TimeFrame.Minutes, 120): 'H2',
        (bt.TimeFrame.Minutes, 180): 'H3',
        (bt.TimeFrame.Minutes, 240): 'H4',
        (bt.TimeFrame.Minutes, 360): 'H6',
        (bt.TimeFrame.Minutes, 480): 'H8',
        (bt.TimeFrame.Days, 1): 'D',
        (bt.TimeFrame.Weeks, 1): 'W',
        (bt.TimeFrame.Months, 1): 'M',
    }

    def get_positions(self):
        try:
            positions = self.oapi.get_positions(self.p.account)
        except (oandapy.OandaError, OandaRequestError,):
            return None

        poslist = positions.get('positions', [])
        return poslist

    def get_granularity(self, timeframe, compression):
        return self._GRANULARITIES.get((timeframe, compression), None)

    def get_instrument(self, dataname):
        try:
            insts = self.oapi.get_instruments(self.p.account,
                                              instruments=dataname)
        except (oandapy.OandaError, OandaRequestError,):
            return None

        i = insts.get('instruments', [{}])
        return i[0] or None

    def streaming_events(self, tmout=None):
        q = queue.Queue()
        kwargs = {'q': q, 'tmout': tmout}

        t = threading.Thread(target=self._t_streaming_listener, kwargs=kwargs)
        t.daemon = True
        t.start()

        t = threading.Thread(target=self._t_streaming_events, kwargs=kwargs)
        t.daemon = True
        t.start()
        return q

    def _t_streaming_listener(self, q, tmout=None):
        while True:
            trans = q.get()
            self._transaction(trans)

    def _t_streaming_events(self, q, tmout=None):
        if tmout is not None:
            _time.sleep(tmout)

        streamer = Streamer(q,
                            environment=self._oenv,
                            access_token=self.p.token,
                            headers={'X-Accept-Datetime-Format': 'UNIX'})

        streamer.events(ignore_heartbeat=False)

    def candles(self, dataname, dtbegin, dtend, timeframe, compression,
                candleFormat, includeFirst):

        kwargs = locals().copy()
        kwargs.pop('self')
        kwargs['q'] = q = queue.Queue()
        t = threading.Thread(target=self._t_candles, kwargs=kwargs)
        t.daemon = True
        t.start()
        return q

    def _t_candles(self, dataname, dtbegin, dtend, timeframe, compression,
                   candleFormat, includeFirst, q):

        granularity = self.get_granularity(timeframe, compression)
        if granularity is None:
            e = OandaTimeFrameError()
            q.put(e.error_response)
            return

        dtkwargs = {}
        if dtbegin is not None:
            dtkwargs['start'] = int((dtbegin - self._DTEPOCH).total_seconds())

        if dtend is not None:
            dtkwargs['end'] = int((dtend - self._DTEPOCH).total_seconds())

        try:
            response = self.oapi.get_history(instrument=dataname,
                                             granularity=granularity,
                                             candleFormat=candleFormat,
                                             **dtkwargs)

        except oandapy.OandaError as e:
            q.put(e.error_response)
            q.put(None)
            return

        for candle in response.get('candles', []):
            q.put(candle)

        q.put({})  # end of transmission

    def streaming_prices(self, dataname, tmout=None):
        q = queue.Queue()
        kwargs = {'q': q, 'dataname': dataname, 'tmout': tmout}
        t = threading.Thread(target=self._t_streaming_prices, kwargs=kwargs)
        t.daemon = True
        t.start()
        return q

    def _t_streaming_prices(self, dataname, q, tmout):
        if tmout is not None:
            _time.sleep(tmout)

        streamer = Streamer(q, environment=self._oenv,
                            access_token=self.p.token,
                            headers={'X-Accept-Datetime-Format': 'UNIX'})

        streamer.rates(self.p.account, instruments=dataname)

    def get_cash(self):
        return self._cash

    def get_value(self):
        return self._value

    _ORDEREXECS = {
        bt.Order.Market: 'market',
        bt.Order.Limit: 'limit',
        bt.Order.Stop: 'stop',
        bt.Order.StopLimit: 'stop',
    }

    def broker_threads(self):
        self.q_account = queue.Queue()
        self.q_account.put(True)  # force an immediate update
        t = threading.Thread(target=self._t_account)
        t.daemon = True
        t.start()

        self.q_ordercreate = queue.Queue()
        t = threading.Thread(target=self._t_order_create)
        t.daemon = True
        t.start()

        self.q_orderclose = queue.Queue()
        t = threading.Thread(target=self._t_order_cancel)
        t.daemon = True
        t.start()

        # Wait once for the values to be set
        self._evt_acct.wait(self.p.account_tmout)

    def _t_account(self):
        while True:
            try:
                msg = self.q_account.get(timeout=self.p.account_tmout)
                if msg is None:
                    break  # end of thread
            except queue.Empty:  # tmout -> time to refresh
                pass

            try:
                accinfo = self.oapi.get_account(self.p.account)
            except Exception as e:
                self.put_notification(e)
                continue

            try:
                self._cash = accinfo['marginAvail']
                self._value = accinfo['balance']
            except KeyError:
                pass

            self._evt_acct.set()

    def order_create(self, order, stopside=None, takeside=None, **kwargs):
        okwargs = dict()
        okwargs['instrument'] = order.data._dataname
        okwargs['units'] = abs(order.created.size)
        okwargs['side'] = 'buy' if order.isbuy() else 'sell'
        okwargs['type'] = self._ORDEREXECS[order.exectype]
        if order.exectype != bt.Order.Market:
            okwargs['price'] = order.created.price
            if order.valid is None:
                # 1 year and datetime.max fail ... 1 month works
                valid = datetime.utcnow() + timedelta(days=30)
            else:
                valid = order.data.num2date(order.valid)
                # To timestamp with seconds precision
            okwargs['expiry'] = int((valid - self._DTEPOCH).total_seconds())

        if order.exectype == bt.Order.StopLimit:
            okwargs['lowerBound'] = order.created.pricelimit
            okwargs['upperBound'] = order.created.pricelimit

        if order.exectype == bt.Order.StopTrail:
            okwargs['trailingStop'] = order.trailamount

        if stopside is not None:
            okwargs['stopLoss'] = stopside.price

        if takeside is not None:
            okwargs['takeProfit'] = takeside.price

        okwargs.update(**kwargs)  # anything from the user

        self.q_ordercreate.put((order.ref, okwargs,))
        return order

    _OIDSINGLE = ['orderOpened', 'tradeOpened', 'tradeReduced']
    _OIDMULTIPLE = ['tradesClosed']

    def _t_order_create(self):
        while True:
            msg = self.q_ordercreate.get()
            if msg is None:
                break

            oref, okwargs = msg
            try:
                o = self.oapi.create_order(self.p.account, **okwargs)
            except Exception as e:
                self.put_notification(e)
                self.broker._reject(oref)
                return

            # Ids are delivered in different fields and all must be fetched to
            # match them (as executions) to the order generated here
            oids = list()
            for oidfield in self._OIDSINGLE:
                if oidfield in o and 'id' in o[oidfield]:
                    oids.append(o[oidfield]['id'])

            for oidfield in self._OIDMULTIPLE:
                if oidfield in o:
                    for suboidfield in o[oidfield]:
                        oids.append(suboidfield['id'])

            if not oids:
                self.broker._reject(oref)
                return

            self._orders[oref] = oids[0]
            self.broker._submit(oref)
            if okwargs['type'] == 'market':
                self.broker._accept(oref)  # taken immediately

            for oid in oids:
                self._ordersrev[oid] = oref  # maps ids to backtrader order

                # An transaction may have happened and was stored
                tpending = self._transpend[oid]
                tpending.append(None)  # eom marker
                while True:
                    trans = tpending.popleft()
                    if trans is None:
                        break
                    self._process_transaction(oid, trans)

    def order_cancel(self, order):
        self.q_orderclose.put(order.ref)
        return order

    def _t_order_cancel(self):
        while True:
            oref = self.q_orderclose.get()
            if oref is None:
                break

            oid = self._orders.get(oref, None)
            if oid is None:
                continue  # the order is no longer there
            try:
                o = self.oapi.close_order(self.p.account, oid)
            except Exception as e:
                continue  # not cancelled - FIXME: notify

            self.broker._cancel(oref)

    _X_ORDER_CREATE = ('STOP_ORDER_CREATE',
                       'LIMIT_ORDER_CREATE', 'MARKET_IF_TOUCHED_ORDER_CREATE',)

    def _transaction(self, trans):
        # Invoked from Streaming Events. May actually receive an event for an
        # oid which has not yet been returned after creating an order. Hence
        # store if not yet seen, else forward to processer
        ttype = trans['type']
        if ttype == 'MARKET_ORDER_CREATE':
            try:
                oid = trans['tradeReduced']['id']
            except KeyError:
                try:
                    oid = trans['tradeOpened']['id']
                except KeyError:
                    return  # cannot do anything else

        elif ttype in self._X_ORDER_CREATE:
            oid = trans['id']
        elif ttype == 'ORDER_FILLED':
            oid = trans['orderId']

        elif ttype == 'ORDER_CANCEL':
            oid = trans['orderId']

        elif ttype == 'TRADE_CLOSE':
            oid = trans['id']
            pid = trans['tradeId']
            if pid in self._orders and False:  # Know nothing about trade
                return  # can do nothing

            # Skip above - at the moment do nothing
            # Received directly from an event in the WebGUI for example which
            # closes an existing position related to order with id -> pid
            # COULD BE DONE: Generate a fake counter order to gracefully
            # close the existing position
            msg = ('Received TRADE_CLOSE for unknown order, possibly generated'
                   ' over a different client or GUI')
            self.put_notification(msg, trans)
            return

        else:  # Go aways gracefully
            try:
                oid = trans['id']
            except KeyError:
                oid = 'None'

            msg = 'Received {} with oid {}. Unknown situation'
            msg = msg.format(ttype, oid)
            self.put_notification(msg, trans)
            return

        try:
            oref = self._ordersrev[oid]
            self._process_transaction(oid, trans)
        except KeyError:  # not yet seen, keep as pending
            self._transpend[oid].append(trans)

    _X_ORDER_FILLED = ('MARKET_ORDER_CREATE',
                       'ORDER_FILLED', 'TAKE_PROFIT_FILLED',
                       'STOP_LOSS_FILLED', 'TRAILING_STOP_FILLED',)

    def _process_transaction(self, oid, trans):
        try:
            oref = self._ordersrev.pop(oid)
        except KeyError:
            return

        ttype = trans['type']

        if ttype in self._X_ORDER_FILLED:
            size = trans['units']
            if trans['side'] == 'sell':
                size = -size
            price = trans['price']
            self.broker._fill(oref, size, price, ttype=ttype)

        elif ttype in self._X_ORDER_CREATE:
            self.broker._accept(oref)
            self._ordersrev[oid] = oref

        elif ttype in 'ORDER_CANCEL':
            reason = trans['reason']
            if reason == 'ORDER_FILLED':
                pass  # individual execs have done the job
            elif reason == 'TIME_IN_FORCE_EXPIRED':
                self.broker._expire(oref)
            elif reason == 'CLIENT_REQUEST':
                self.broker._cancel(oref)
            else:  # default action ... if nothing else
                self.broker._reject(oref)


================================================
FILE: backtrader/stores/vchartfile.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import os.path

import backtrader as bt


class VChartFile(bt.Store):
    '''Store provider for Visual Chart binary files

    Params:

      - ``path`` (default:``None``):

        If the path is ``None`` and running under *Windows*, the registry will
        be examined to find the root directory of the *Visual Chart* files.
    '''

    params = (
        ('path', None),
    )

    def __init__(self):
        self._path = self.p.path
        if self._path is None:
            self._path = self._find_vchart()

    @staticmethod
    def _find_vchart():
        # Find VisualChart registry key to get data directory
        # If not found returns ''
        VC_KEYNAME = r'SOFTWARE\VCG\Visual Chart 6\Config'
        VC_KEYVAL = 'DocsDirectory'
        VC_DATADIR = ['Realserver', 'Data', '01']

        VC_NONE = ''

        from backtrader.utils.py3 import winreg
        if winreg is None:
            return VC_NONE

        vcdir = None
        # Search for Directory in the usual root keys
        for rkey in (winreg.HKEY_CURRENT_USER, winreg.HKEY_LOCAL_MACHINE,):
            try:
                vckey = winreg.OpenKey(rkey, VC_KEYNAME)
            except WindowsError as e:
                continue

            # Try to get the key value
            try:
                vcdir, _ = winreg.QueryValueEx(vckey, VC_KEYVAL)
            except WindowsError as e:
                continue
            else:
                break  # found vcdir

        if vcdir is not None:  # something was found
            vcdir = os.path.join(vcdir, *VC_DATADIR)
        else:
            vcdir = VC_NONE

        return vcdir

    def get_datapath(self):
        return self._path


================================================
FILE: backtrader/stores/vcstore.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import collections
from datetime import date, datetime, time, timedelta
import os.path
import threading
import time as _timemod

import ctypes

from backtrader import TimeFrame, Position
from backtrader.feed import DataBase
from backtrader.metabase import MetaParams
from backtrader.utils.py3 import (MAXINT, range, queue, string_types,
                                  with_metaclass)
from backtrader.utils import AutoDict


class _SymInfo(object):
    # Replica of the SymbolInfo COM object to pass it over thread boundaries
    _fields = ['Type', 'Description', 'Decimals', 'TimeOffset',
               'PointValue', 'MinMovement']

    def __init__(self, syminfo):
        for f in self._fields:
            setattr(self, f, getattr(syminfo, f))

# This type is used inside 'PumpEvents', but if we create the type
# afresh each time 'PumpEvents' is called we end up creating cyclic
# garbage for each call.  So we define it here instead.
_handles_type = ctypes.c_void_p * 1


def PumpEvents(timeout=-1, hevt=None, cb=None):
    """This following code waits for 'timeout' seconds in the way
    required for COM, internally doing the correct things depending
    on the COM appartment of the current thread.  It is possible to
    terminate the message loop by pressing CTRL+C, which will raise
    a KeyboardInterrupt.
    """
    # XXX Should there be a way to pass additional event handles which
    # can terminate this function?

    # XXX XXX XXX
    #
    # It may be that I misunderstood the CoWaitForMultipleHandles
    # function.  Is a message loop required in a STA?  Seems so...
    #
    # MSDN says:
    #
    # If the caller resides in a single-thread apartment,
    # CoWaitForMultipleHandles enters the COM modal loop, and the
    # thread's message loop will continue to dispatch messages using
    # the thread's message filter. If no message filter is registered
    # for the thread, the default COM message processing is used.
    #
    # If the calling thread resides in a multithread apartment (MTA),
    # CoWaitForMultipleHandles calls the Win32 function
    # MsgWaitForMultipleObjects.

    # Timeout expected as float in seconds - *1000 to miliseconds
    # timeout = -1 -> INFINITE 0xFFFFFFFF;
    # It can also be a callable which should return an amount in seconds

    if hevt is None:
        hevt = ctypes.windll.kernel32.CreateEventA(None, True, False, None)

    handles = _handles_type(hevt)
    RPC_S_CALLPENDING = -2147417835

    # @ctypes.WINFUNCTYPE(ctypes.c_int, ctypes.c_uint)
    def HandlerRoutine(dwCtrlType):
        if dwCtrlType == 0:  # CTRL+C
            ctypes.windll.kernel32.SetEvent(hevt)
            return 1
        return 0

    HandlerRoutine = (
        ctypes.WINFUNCTYPE(ctypes.c_int, ctypes.c_uint)(HandlerRoutine)
    )

    ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 1)
    while True:
        try:
            tmout = timeout()  # check if it's a callable
        except TypeError:
            tmout = timeout  # it seems to be a number

        if tmout > 0:
            tmout *= 1000
        tmout = int(tmout)

        try:
            res = ctypes.oledll.ole32.CoWaitForMultipleHandles(
                0,  # COWAIT_FLAGS
                int(tmout),  # dwtimeout
                len(handles),  # number of handles in handles
                handles,  # handles array
                # pointer to indicate which handle was signaled
                ctypes.byref(ctypes.c_ulong())
            )

        except WindowsError as details:
            if details.args[0] == RPC_S_CALLPENDING:  # timeout expired
                if cb is not None:
                    cb()

                continue

            else:
                ctypes.windll.kernel32.CloseHandle(hevt)
                ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)
                raise  # something else happened
        else:
            ctypes.windll.kernel32.CloseHandle(hevt)
            ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)
            raise KeyboardInterrupt

        # finally:
        # if False:
            # ctypes.windll.kernel32.CloseHandle(hevt)
            # ctypes.windll.kernel32.SetConsoleCtrlHandler(HandlerRoutine, 0)
            # break


class RTEventSink(object):
    def __init__(self, store):
        self.store = store
        self.vcrtmod = store.vcrtmod
        self.lastconn = None

    def OnNewTicks(self, ArrayTicks):
        pass

    def OnServerShutDown(self):
        self.store._vcrt_connection(self.store._RT_SHUTDOWN)

    def OnInternalEvent(self, p1, p2, p3):
        if p1 != 1:  # Apparently "Connection Event"
            return

        if p2 == self.lastconn:
            return  # do not notify twice

        self.lastconn = p2  # keep new notification code

        # p2 should be 0 (disconn), 1 (conn)
        self.store._vcrt_connection(self.store._RT_BASEMSG - p2)


class MetaSingleton(MetaParams):
    '''Metaclass to make a metaclassed class a singleton'''
    def __init__(cls, name, bases, dct):
        super(MetaSingleton, cls).__init__(name, bases, dct)
        cls._singleton = None

    def __call__(cls, *args, **kwargs):
        if cls._singleton is None:
            cls._singleton = (
                super(MetaSingleton, cls).__call__(*args, **kwargs))

        return cls._singleton


class VCStore(with_metaclass(MetaSingleton, object)):
    '''Singleton class wrapping an ibpy ibConnection instance.

    The parameters can also be specified in the classes which use this store,
    like ``VCData`` and ``VCBroker``

    '''
    BrokerCls = None  # broker class will autoregister
    DataCls = None  # data class will auto register

    # 32 bit max unsigned int for openinterest correction
    MAXUINT = 0xffffffff // 2

    # to remove at least 1 sec or else there seem to be internal conv problems
    MAXDATE1 = datetime.max - timedelta(days=1, seconds=1)
    MAXDATE2 = datetime.max - timedelta(seconds=1)

    _RT_SHUTDOWN = -0xffff
    _RT_BASEMSG = -0xfff0
    _RT_DISCONNECTED = -0xfff0
    _RT_CONNECTED = -0xfff1
    _RT_LIVE = -0xfff2
    _RT_DELAYED = -0xfff3
    _RT_TYPELIB = -0xffe0
    _RT_TYPEOBJ = -0xffe1
    _RT_COMTYPES = -0xffe2

    @classmethod
    def getdata(cls, *args, **kwargs):
        '''Returns ``DataCls`` with args, kwargs'''
        return cls.DataCls(*args, **kwargs)

    @classmethod
    def getbroker(cls, *args, **kwargs):
        '''Returns broker with *args, **kwargs from registered ``BrokerCls``'''
        return cls.BrokerCls(*args, **kwargs)

    # DLLs to parse if found for TypeLibs
    VC64_DLLS = ('VCDataSource64.dll', 'VCRealTimeLib64.dll',
                 'COMTraderInterfaces64.dll',)

    VC_DLLS = ('VCDataSource.dll', 'VCRealTimeLib.dll',
               'COMTraderInterfaces.dll',)

    # Well known CLSDI
    VC_TLIBS = (
        ['{EB2A77DC-A317-4160-8833-DECF16275A05}', 1, 0],  # vcdatasource64
        ['{86F1DB04-2591-4866-A361-BB053D77FA18}', 1, 0],  # vcrealtime64
        ['{20F8873C-35BE-4DB4-8C2A-0A8D40F8AEC3}', 1, 0],  # raderinterface64
    )

    VC_KEYNAME = r'SOFTWARE\VCG\Visual Chart 6\Config'
    VC_KEYVAL = 'Directory'
    VC_BINPATH = 'bin'

    def find_vchart(self):
        # Tries to locate VisualChart in the registry to get the installation
        # directory
        # If not found returns well-known typelibs clsid
        # Else it will scan the directory to locate the 64/32 bit dlls and
        # return the paths
        import _winreg  # keep import local to avoid breaking test cases

        vcdir = None

        # Search for Directory in the usual root keys
        for rkey in (_winreg.HKEY_CURRENT_USER, _winreg.HKEY_LOCAL_MACHINE,):
            try:
                vckey = _winreg.OpenKey(rkey, self.VC_KEYNAME)
            except WindowsError as e:
                continue

            # Try to get the key value
            try:
                vcdir, _ = _winreg.QueryValueEx(vckey, self.VC_KEYVAL)
            except WindowsError as e:
                continue
            else:
                break  # found vcdir

        if vcdir is None:
            return self.VC_TLIBS  # no dir found, last resort

        # DLLs are in the bin directory
        vcbin = os.path.join(vcdir, self.VC_BINPATH)

        # Search for the 3 libraries (64/32 bits) in the found dir
        for dlls in (self.VC64_DLLS, self.VC_DLLS,):
            dfound = []
            for dll in dlls:
                fpath = os.path.join(vcbin, dll)
                if not os.path.isfile(fpath):
                    break
                dfound.append(fpath)

            if len(dfound) == len(dlls):
                return dfound

        # not all dlls were found, last resort
        return self.VC_TLIBS

    def _load_comtypes(self):
        # Keep comtypes imports local to avoid breaking testcases
        try:
            import comtypes
            self.comtypes = comtypes

            from comtypes.client import CreateObject, GetEvents, GetModule
            self.CreateObject = CreateObject
            self.GetEvents = GetEvents
            self.GetModule = GetModule
        except ImportError:
            return False

        return True  # notifiy comtypes was loaded

    def __init__(self):
        self._connected = False  # modules/objects created

        self.notifs = collections.deque()  # hold notifications to deliver

        self.t_vcconn = None  # control connection status

        # hold deques to market data symbols
        self._dqs = collections.deque()
        self._qdatas = dict()
        self._tftable = dict()

        if not self._load_comtypes():
            txt = 'Failed to import comtypes'
            msg = self._RT_COMTYPES, txt
            self.put_notification(msg, *msg)
            return

        vctypelibs = self.find_vchart()
        # Try to load the modules
        try:
            self.vcdsmod = self.GetModule(vctypelibs[0])
            self.vcrtmod = self.GetModule(vctypelibs[1])
            self.vcctmod = self.GetModule(vctypelibs[2])
        except WindowsError as e:
            self.vcdsmod = None
            self.vcrtmod = None
            self.vcctmod = None
            txt = 'Failed to Load COM TypeLib Modules {}'.format(e)
            msg = self._RT_TYPELIB, txt
            self.put_notification(msg, *msg)
            return

        # Try to load the main objects
        try:
            self.vcds = self.CreateObject(self.vcdsmod.DataSourceManager)
            # self.vcrt = self.CreateObject(self.vcrtmod.RealTime)
            self.vcct = self.CreateObject(self.vcctmod.Trader)
        except WindowsError as e:
            txt = ('Failed to Load COM TypeLib Objects but the COM TypeLibs '
                   'have been loaded. If VisualChart has been recently '
                   'installed/updated, restarting Windows may be necessary '
                   'to register the Objects: {}'.format(e))
            msg = self._RT_TYPELIB, txt
            self.put_notification(msg, *msg)
            self.vcds = None
            self.vcrt = None
            self.vcct = None
            return

        self._connected = True

        # Build a table of VCRT Field_XX mappings for debugging purposes
        self.vcrtfields = dict()
        for name in dir(self.vcrtmod):
            if name.startswith('Field'):
                self.vcrtfields[getattr(self.vcrtmod, name)] = name

        # Modules and objects can be created
        self._tftable = {
            TimeFrame.Ticks: (self.vcdsmod.CT_Ticks, 1),
            TimeFrame.MicroSeconds: (self.vcdsmod.CT_Ticks, 1),  # To Resample
            TimeFrame.Seconds: (self.vcdsmod.CT_Ticks, 1),  # To Resample
            TimeFrame.Minutes: (self.vcdsmod.CT_Minutes, 1),
            TimeFrame.Days: (self.vcdsmod.CT_Days, 1),
            TimeFrame.Weeks: (self.vcdsmod.CT_Weeks, 1),
            TimeFrame.Months: (self.vcdsmod.CT_Months, 1),
            TimeFrame.Years: (self.vcdsmod.CT_Months, 12),
        }

    def put_notification(self, msg, *args, **kwargs):
        self.notifs.append((msg, args, kwargs))

    def get_notifications(self):
        '''Return the pending "store" notifications'''
        self.notifs.append(None)  # Mark current end of notifs
        return [x for x in iter(self.notifs.popleft, None)]  # popleft til None

    def start(self, data=None, broker=None):
        if not self._connected:
            return

        if self.t_vcconn is None:
            # Kickstart connection thread check
            self.t_vcconn = t = threading.Thread(target=self._start_vcrt)
            t.daemon = True  # Do not stop a general exit
            t.start()

        if broker is not None:
            t = threading.Thread(target=self._t_broker, args=(broker,))
            t.daemon = True
            t.start()

    def stop(self):
        pass  # nothing to do

    def connected(self):
        return self._connected

    def _start_vcrt(self):
        # Use VCRealTime to monitor the connection status
        self.comtypes.CoInitialize()  # running in another thread
        vcrt = self.CreateObject(self.vcrtmod.RealTime)
        sink = RTEventSink(self)
        conn = self.GetEvents(vcrt, sink)
        PumpEvents()
        self.comtypes.CoUninitialize()

    def _vcrt_connection(self, status):
        if status == -0xffff:
            txt = 'VisualChart shutting down',
        # p2: 0 -> Disconnected /  p2: 1 -> Reconnected
        elif status == -0xfff0:
            txt = 'VisualChart is Disconnected'
        elif status == -0xfff1:
            txt = 'VisualChart is Connected'
        else:
            txt = 'VisualChart unknown connection status '

        msg = txt, status
        self.put_notification(msg, *msg)

        for q in self._dqs:
            q.put(status)

    def _tf2ct(self, timeframe, compression):
        # Translates timeframes to known compression types in VisualChart
        timeframe, extracomp = self._tftable[timeframe]
        return timeframe, compression * extracomp

    def _ticking(self, timeframe):
        # Translates timeframes to known compression types in VisualChart
        vctimeframe, _ = self._tftable[timeframe]
        return vctimeframe == self.vcdsmod.CT_Ticks

    def _getq(self, data):
        q = queue.Queue()
        self._dqs.append(q)
        self._qdatas[q] = data
        return q

    def _delq(self, q):
        self._dqs.remove(q)
        self._qdatas.pop(q)

    def _rtdata(self, data, symbol):
        kwargs = dict(data=data, symbol=symbol)
        t = threading.Thread(target=self._t_rtdata, kwargs=kwargs)
        t.daemon = True
        t.start()

    # Broker functions
    def _t_rtdata(self, data, symbol):
        self.comtypes.CoInitialize()  # running in another thread
        vcrt = self.CreateObject(self.vcrtmod.RealTime)
        conn = self.GetEvents(vcrt, data)
        data._vcrt = vcrt
        vcrt.RequestSymbolFeed(symbol, False)  # no limits
        PumpEvents()
        del conn  # ensure events go away
        self.comtypes.CoUninitialize()

    def _symboldata(self, symbol):

        # Assumption -> we are connected and the symbol has been found
        self.vcds.ActiveEvents = 0
        # self.vcds.EventsType = self.vcdsmod.EF_Always

        serie = self.vcds.NewDataSerie(symbol,
                                       self.vcdsmod.CT_Days, 1,
                                       self.MAXDATE1, self.MAXDATE2)

        syminfo = _SymInfo(serie.GetSymbolInfo())
        self.vcds.DeleteDataSource(serie)
        return syminfo

    def _canceldirectdata(self, q):
        self._delq(q)

    def _directdata(self, data,
                    symbol, timeframe, compression, d1, d2=None,
                    historical=False):

        # Assume the data has checked the existence of the symbol
        timeframe, compression = self._tf2ct(timeframe, compression)
        kwargs = locals().copy()  # make a copy of the args
        kwargs.pop('self')
        kwargs['q'] = q = self._getq(data)

        t = threading.Thread(target=self._t_directdata, kwargs=kwargs)
        t.daemon = True
        t.start()

        # use the queue to synchronize until symbolinfo has been gotten
        return q  # tell the caller where to expect the hist data

    def _t_directdata(self, data,
                      symbol, timeframe, compression, d1, d2, q,
                      historical):

        self.comtypes.CoInitialize()  # start com threading
        vcds = self.CreateObject(self.vcdsmod.DataSourceManager)

        historical = historical or d2 is not None
        if not historical:
            vcds.ActiveEvents = 1
            vcds.EventsType = self.vcdsmod.EF_Always
        else:
            vcds.ActiveEvents = 0

        if d2 is not None:
            serie = vcds.NewDataSerie(symbol, timeframe, compression, d1, d2)
        else:
            serie = vcds.NewDataSerie(symbol, timeframe, compression, d1)

        data._setserie(serie)

        # processing of bars can continue
        data.OnNewDataSerieBar(serie, forcepush=historical)
        if historical:  # push the last bar
            q.put(None)        # Signal end of transmission
            dsconn = None
        else:
            dsconn = self.GetEvents(vcds, data)  # finally connect the events
            pass

        # pump events in this thread - call ping
        PumpEvents(timeout=data._getpingtmout, cb=data.ping)
        if dsconn is not None:
            del dsconn  # Docs recommend deleting the connection

        # Delete the series before coming out of the thread
        vcds.DeleteDataSource(serie)
        self.comtypes.CoUninitialize()  # Terminate com threading

    # Broker functions
    def _t_broker(self, broker):
        self.comtypes.CoInitialize()  # running in another thread
        trader = self.CreateObject(self.vcctmod.Trader)
        conn = self.GetEvents(trader, broker(trader))
        PumpEvents()
        del conn  # ensure events go away
        self.comtypes.CoUninitialize()


================================================
FILE: backtrader/strategies/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from .sma_crossover import *


================================================
FILE: backtrader/strategies/sma_crossover.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
import backtrader.indicators as btind


class MA_CrossOver(bt.Strategy):
    '''This is a long-only strategy which operates on a moving average cross

    Note:
      - Although the default

    Buy Logic:
      - No position is open on the data

      - The ``fast`` moving averagecrosses over the ``slow`` strategy to the
        upside.

    Sell Logic:
      - A position exists on the data

      - The ``fast`` moving average crosses over the ``slow`` strategy to the
        downside

    Order Execution Type:
      - Market

    '''
    alias = ('SMA_CrossOver',)

    params = (
        # period for the fast Moving Average
        ('fast', 10),
        # period for the slow moving average
        ('slow', 30),
        # moving average to use
        ('_movav', btind.MovAv.SMA)
    )

    def __init__(self):
        sma_fast = self.p._movav(period=self.p.fast)
        sma_slow = self.p._movav(period=self.p.slow)

        self.buysig = btind.CrossOver(sma_fast, sma_slow)

    def next(self):
        if self.position.size:
            if self.buysig < 0:
                self.sell()

        elif self.buysig > 0:
            self.buy()


================================================
FILE: backtrader/strategy.py
================================================
#!/usr/bin389/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import copy
import datetime
import inspect
import itertools
import operator

from .utils.py3 import (filter, keys, integer_types, iteritems, itervalues,
                        map, MAXINT, string_types, with_metaclass)

import backtrader as bt
from .lineiterator import LineIterator, StrategyBase
from .lineroot import LineSingle
from .lineseries import LineSeriesStub
from .metabase import ItemCollection, findowner
from .trade import Trade
from .utils import OrderedDict, AutoOrderedDict, AutoDictList


class MetaStrategy(StrategyBase.__class__):
    _indcol = dict()

    def __new__(meta, name, bases, dct):
        # Hack to support original method name for notify_order
        if 'notify' in dct:
            # rename 'notify' to 'notify_order'
            dct['notify_order'] = dct.pop('notify')
        if 'notify_operation' in dct:
            # rename 'notify' to 'notify_order'
            dct['notify_trade'] = dct.pop('notify_operation')

        return super(MetaStrategy, meta).__new__(meta, name, bases, dct)

    def __init__(cls, name, bases, dct):
        '''
        Class has already been created ... register subclasses
        '''
        # Initialize the class
        super(MetaStrategy, cls).__init__(name, bases, dct)

        if not cls.aliased and \
           name != 'Strategy' and not name.startswith('_'):
            cls._indcol[name] = cls

    def donew(cls, *args, **kwargs):
        _obj, args, kwargs = super(MetaStrategy, cls).donew(*args, **kwargs)

        # Find the owner and store it
        _obj.env = _obj.cerebro = cerebro = findowner(_obj, bt.Cerebro)
        _obj._id = cerebro._next_stid()

        return _obj, args, kwargs

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaStrategy, cls).dopreinit(_obj, *args, **kwargs)
        _obj.broker = _obj.env.broker
        _obj._sizer = bt.sizers.FixedSize()
        _obj._orders = list()
        _obj._orderspending = list()
        _obj._trades = collections.defaultdict(AutoDictList)
        _obj._tradespending = list()

        _obj.stats = _obj.observers = ItemCollection()
        _obj.analyzers = ItemCollection()
        _obj._alnames = collections.defaultdict(itertools.count)
        _obj.writers = list()

        _obj._slave_analyzers = list()

        _obj._tradehistoryon = False

        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaStrategy, cls).dopostinit(_obj, *args, **kwargs)

        _obj._sizer.set(_obj, _obj.broker)

        return _obj, args, kwargs


class Strategy(with_metaclass(MetaStrategy, StrategyBase)):
    '''
    Base class to be subclassed for user defined strategies.
    '''

    _ltype = LineIterator.StratType

    csv = True
    _oldsync = False  # update clock using old methodology : data 0

    # keep the latest delivered data date in the line
    lines = ('datetime',)

    def qbuffer(self, savemem=0, replaying=False):
        '''Enable the memory saving schemes. Possible values for ``savemem``:

          0: No savings. Each lines object keeps in memory all values

          1: All lines objects save memory, using the strictly minimum needed

        Negative values are meant to be used when plotting is required:

          -1: Indicators at Strategy Level and Observers do not enable memory
              savings (but anything declared below it does)

          -2: Same as -1 plus activation of memory saving for any indicators
              which has declared *plotinfo.plot* as False (will not be plotted)
        '''
        if savemem < 0:
            # Get any attribute which labels itself as Indicator
            for ind in self._lineiterators[self.IndType]:
                subsave = isinstance(ind, (LineSingle,))
                if not subsave and savemem < -1:
                    subsave = not ind.plotinfo.plot
                ind.qbuffer(savemem=subsave)

        elif savemem > 0:
            for data in self.datas:
                data.qbuffer(replaying=replaying)

            for line in self.lines:
                line.qbuffer(savemem=1)

            # Save in all object types depending on the strategy
            for itcls in self._lineiterators:
                for it in self._lineiterators[itcls]:
                    it.qbuffer(savemem=1)

    def _periodset(self):
        dataids = [id(data) for data in self.datas]

        _dminperiods = collections.defaultdict(list)
        for lineiter in self._lineiterators[LineIterator.IndType]:
            # if multiple datas are used and multiple timeframes the larger
            # timeframe may place larger time constraints in calling next.
            clk = getattr(lineiter, '_clock', None)
            if clk is None:
                clk = getattr(lineiter._owner, '_clock', None)
                if clk is None:
                    continue

            while True:
                if id(clk) in dataids:
                    break  # already top-level clock (data feed)

                # See if the current clock has higher level clocks
                clk2 = getattr(clk, '_clock', None)
                if clk2 is None:
                    clk2 = getattr(clk._owner, '_clock', None)

                if clk2 is None:
                    break  # if no clock found, bail out

                clk = clk2  # keep the ref and try to go up the hierarchy

            if clk is None:
                continue  # no clock found, go to next

            # LineSeriesStup wraps a line and the clock is the wrapped line and
            # no the wrapper itself.
            if isinstance(clk, LineSeriesStub):
                clk = clk.lines[0]

            _dminperiods[clk].append(lineiter._minperiod)

        self._minperiods = list()
        for data in self.datas:

            # Do not only consider the data as clock but also its lines which
            # may have been individually passed as clock references and
            # discovered as clocks above

            # Initialize with data min period if any
            dlminperiods = _dminperiods[data]

            for l in data.lines:  # search each line for min periods
                if l in _dminperiods:
                    dlminperiods += _dminperiods[l]  # found, add it

            # keep the reference to the line if any was found
            _dminperiods[data] = [max(dlminperiods)] if dlminperiods else []

            dminperiod = max(_dminperiods[data] or [data._minperiod])
            self._minperiods.append(dminperiod)

        # Set the minperiod
        minperiods = \
            [x._minperiod for x in self._lineiterators[LineIterator.IndType]]
        self._minperiod = max(minperiods or [self._minperiod])

    def _addwriter(self, writer):
        '''
        Unlike the other _addxxx functions this one receives an instance
        because the writer works at cerebro level and is only passed to the
        strategy to simplify the logic
        '''
        self.writers.append(writer)

    def _addindicator(self, indcls, *indargs, **indkwargs):
        indcls(*indargs, **indkwargs)

    def _addanalyzer_slave(self, ancls, *anargs, **ankwargs):
        '''Like _addanalyzer but meant for observers (or other entities) which
        rely on the output of an analyzer for the data. These analyzers have
        not been added by the user and are kept separate from the main
        analyzers

        Returns the created analyzer
        '''
        analyzer = ancls(*anargs, **ankwargs)
        self._slave_analyzers.append(analyzer)
        return analyzer

    def _getanalyzer_slave(self, idx):
        return self._slave_analyzers.append[idx]

    def _addanalyzer(self, ancls, *anargs, **ankwargs):
        anname = ankwargs.pop('_name', '') or ancls.__name__.lower()
        nsuffix = next(self._alnames[anname])
        anname += str(nsuffix or '')  # 0 (first instance) gets no suffix
        analyzer = ancls(*anargs, **ankwargs)
        self.analyzers.append(analyzer, anname)

    def _addobserver(self, multi, obscls, *obsargs, **obskwargs):
        obsname = obskwargs.pop('obsname', '')
        if not obsname:
            obsname = obscls.__name__.lower()

        if not multi:
            newargs = list(itertools.chain(self.datas, obsargs))
            obs = obscls(*newargs, **obskwargs)
            self.stats.append(obs, obsname)
            return

        setattr(self.stats, obsname, list())
        l = getattr(self.stats, obsname)

        for data in self.datas:
            obs = obscls(data, *obsargs, **obskwargs)
            l.append(obs)

    def _getminperstatus(self):
        # check the min period status connected to datas
        dlens = map(operator.sub, self._minperiods, map(len, self.datas))
        self._minperstatus = minperstatus = max(dlens)
        return minperstatus

    def prenext_open(self):
        pass

    def nextstart_open(self):
        self.next_open()

    def next_open(self):
        pass

    def _oncepost_open(self):
        minperstatus = self._minperstatus
        if minperstatus < 0:
            self.next_open()
        elif minperstatus == 0:
            self.nextstart_open()  # only called for the 1st value
        else:
            self.prenext_open()

    def _oncepost(self, dt):
        for indicator in self._lineiterators[LineIterator.IndType]:
            if len(indicator._clock) > len(indicator):
                indicator.advance()

        if self._oldsync:
            # Strategy has not been reset, the line is there
            self.advance()
        else:
            # strategy has been reset to beginning. advance step by step
            self.forward()

        self.lines.datetime[0] = dt
        self._notify()

        minperstatus = self._getminperstatus()
        if minperstatus < 0:
            self.next()
        elif minperstatus == 0:
            self.nextstart()  # only called for the 1st value
        else:
            self.prenext()

        self._next_analyzers(minperstatus, once=True)
        self._next_observers(minperstatus, once=True)

        self.clear()

    def _clk_update(self):
        if self._oldsync:
            clk_len = super(Strategy, self)._clk_update()
            self.lines.datetime[0] = max(d.datetime[0]
                                         for d in self.datas if len(d))
            return clk_len

        newdlens = [len(d) for d in self.datas]
        if any(nl > l for l, nl in zip(self._dlens, newdlens)):
            self.forward()

        self.lines.datetime[0] = max(d.datetime[0]
                                     for d in self.datas if len(d))
        self._dlens = newdlens

        return len(self)

    def _next_open(self):
        minperstatus = self._minperstatus
        if minperstatus < 0:
            self.next_open()
        elif minperstatus == 0:
            self.nextstart_open()  # only called for the 1st value
        else:
            self.prenext_open()

    def _next(self):
        super(Strategy, self)._next()

        minperstatus = self._getminperstatus()
        self._next_analyzers(minperstatus)
        self._next_observers(minperstatus)

        self.clear()

    def _next_observers(self, minperstatus, once=False):
        for observer in self._lineiterators[LineIterator.ObsType]:
            for analyzer in observer._analyzers:
                if minperstatus < 0:
                    analyzer._next()
                elif minperstatus == 0:
                    analyzer._nextstart()  # only called for the 1st value
                else:
                    analyzer._prenext()

            if once:
                if len(self) > len(observer):
                    if self._oldsync:
                        observer.advance()
                    else:
                        observer.forward()

                if minperstatus < 0:
                    observer.next()
                elif minperstatus == 0:
                    observer.nextstart()  # only called for the 1st value
                elif len(observer):
                    observer.prenext()
            else:
                observer._next()

    def _next_analyzers(self, minperstatus, once=False):
        for analyzer in self.analyzers:
            if minperstatus < 0:
                analyzer._next()
            elif minperstatus == 0:
                analyzer._nextstart()  # only called for the 1st value
            else:
                analyzer._prenext()

    def _settz(self, tz):
        self.lines.datetime._settz(tz)

    def _start(self):
        self._periodset()

        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):
            analyzer._start()

        for obs in self.observers:
            if not isinstance(obs, list):
                obs = [obs]  # support of multi-data observers

            for o in obs:
                o._start()

        # change operators to stage 2
        self._stage2()

        self._dlens = [len(data) for data in self.datas]

        self._minperstatus = MAXINT  # start in prenext

        self.start()

    def start(self):
        '''Called right before the backtesting is about to be started.'''
        pass

    def getwriterheaders(self):
        self.indobscsv = [self]

        indobs = itertools.chain(
            self.getindicators_lines(), self.getobservers())
        self.indobscsv.extend(filter(lambda x: x.csv, indobs))

        headers = list()

        # prepare the indicators/observers data headers
        for iocsv in self.indobscsv:
            name = iocsv.plotinfo.plotname or iocsv.__class__.__name__
            headers.append(name)
            headers.append('len')
            headers.extend(iocsv.getlinealiases())

        return headers

    def getwritervalues(self):
        values = list()

        for iocsv in self.indobscsv:
            name = iocsv.plotinfo.plotname or iocsv.__class__.__name__
            values.append(name)
            lio = len(iocsv)
            values.append(lio)
            if lio:
                values.extend(map(lambda l: l[0], iocsv.lines.itersize()))
            else:
                values.extend([''] * iocsv.lines.size())

        return values

    def getwriterinfo(self):
        wrinfo = AutoOrderedDict()

        wrinfo['Params'] = self.p._getkwargs()

        sections = [
            ['Indicators', self.getindicators_lines()],
            ['Observers', self.getobservers()]
        ]

        for sectname, sectitems in sections:
            sinfo = wrinfo[sectname]
            for item in sectitems:
                itname = item.__class__.__name__
                sinfo[itname].Lines = item.lines.getlinealiases() or None
                sinfo[itname].Params = item.p._getkwargs() or None

        ainfo = wrinfo.Analyzers

        # Internal Value Analyzer
        ainfo.Value.Begin = self.broker.startingcash
        ainfo.Value.End = self.broker.getvalue()

        # no slave analyzers for writer
        for aname, analyzer in self.analyzers.getitems():
            ainfo[aname].Params = analyzer.p._getkwargs() or None
            ainfo[aname].Analysis = analyzer.get_analysis()

        return wrinfo

    def _stop(self):
        self.stop()

        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):
            analyzer._stop()

        # change operators back to stage 1 - allows reuse of datas
        self._stage1()

    def stop(self):
        '''Called right before the backtesting is about to be stopped'''
        pass

    def set_tradehistory(self, onoff=True):
        self._tradehistoryon = onoff

    def clear(self):
        self._orders.extend(self._orderspending)
        self._orderspending = list()
        self._tradespending = list()

    def _addnotification(self, order, quicknotify=False):
        if not order.p.simulated:
            self._orderspending.append(order)

        if quicknotify:
            qorders = [order]
            qtrades = []

        if not order.executed.size:
            if quicknotify:
                self._notify(qorders=qorders, qtrades=qtrades)
            return

        tradedata = order.data._compensate
        if tradedata is None:
            tradedata = order.data

        datatrades = self._trades[tradedata][order.tradeid]
        if not datatrades:
            trade = Trade(data=tradedata, tradeid=order.tradeid,
                          historyon=self._tradehistoryon)
            datatrades.append(trade)
        else:
            trade = datatrades[-1]

        for exbit in order.executed.iterpending():
            if exbit is None:
                break

            if exbit.closed:
                trade.update(order,
                             exbit.closed,
                             exbit.price,
                             exbit.closedvalue,
                             exbit.closedcomm,
                             exbit.pnl,
                             comminfo=order.comminfo)

                if trade.isclosed:
                    self._tradespending.append(copy.copy(trade))
                    if quicknotify:
                        qtrades.append(copy.copy(trade))

            # Update it if needed
            if exbit.opened:
                if trade.isclosed:
                    trade = Trade(data=tradedata, tradeid=order.tradeid,
                                  historyon=self._tradehistoryon)
                    datatrades.append(trade)

                trade.update(order,
                             exbit.opened,
                             exbit.price,
                             exbit.openedvalue,
                             exbit.openedcomm,
                             exbit.pnl,
                             comminfo=order.comminfo)

                # This extra check covers the case in which different tradeid
                # orders have put the position down to 0 and the next order
                # "opens" a position but "closes" the trade
                if trade.isclosed:
                    self._tradespending.append(copy.copy(trade))
                    if quicknotify:
                        qtrades.append(copy.copy(trade))

            if trade.justopened:
                self._tradespending.append(copy.copy(trade))
                if quicknotify:
                    qtrades.append(copy.copy(trade))

        if quicknotify:
            self._notify(qorders=qorders, qtrades=qtrades)

    def _notify(self, qorders=[], qtrades=[]):
        if self.cerebro.p.quicknotify:
            # need to know if quicknotify is on, to not reprocess pendingorders
            # and pendingtrades, which have to exist for things like observers
            # which look into it
            procorders = qorders
            proctrades = qtrades
        else:
            procorders = self._orderspending
            proctrades = self._tradespending

        for order in procorders:
            if order.exectype != order.Historical or order.histnotify:
                self.notify_order(order)
            for analyzer in itertools.chain(self.analyzers,
                                            self._slave_analyzers):
                analyzer._notify_order(order)

        for trade in proctrades:
            self.notify_trade(trade)
            for analyzer in itertools.chain(self.analyzers,
                                            self._slave_analyzers):
                analyzer._notify_trade(trade)

        if qorders:
            return  # cash is notified on a regular basis

        cash = self.broker.getcash()
        value = self.broker.getvalue()
        fundvalue = self.broker.fundvalue
        fundshares = self.broker.fundshares

        self.notify_cashvalue(cash, value)
        self.notify_fund(cash, value, fundvalue, fundshares)
        for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):
            analyzer._notify_cashvalue(cash, value)
            analyzer._notify_fund(cash, value, fundvalue, fundshares)

    def add_timer(self, when,
                  offset=datetime.timedelta(), repeat=datetime.timedelta(),
                  weekdays=[], weekcarry=False,
                  monthdays=[], monthcarry=True,
                  allow=None,
                  tzdata=None, cheat=False,
                  *args, **kwargs):
        '''
        **Note**: can be called during ``__init__`` or ``start``

        Schedules a timer to invoke either a specified callback or the
        ``notify_timer`` of one or more strategies.

        Arguments:

          - ``when``: can be

            - ``datetime.time`` instance (see below ``tzdata``)
            - ``bt.timer.SESSION_START`` to reference a session start
            - ``bt.timer.SESSION_END`` to reference a session end

         - ``offset`` which must be a ``datetime.timedelta`` instance

           Used to offset the value ``when``. It has a meaningful use in
           combination with ``SESSION_START`` and ``SESSION_END``, to indicated
           things like a timer being called ``15 minutes`` after the session
           start.

          - ``repeat`` which must be a ``datetime.timedelta`` instance

            Indicates if after a 1st call, further calls will be scheduled
            within the same session at the scheduled ``repeat`` delta

            Once the timer goes over the end of the session it is reset to the
            original value for ``when``

          - ``weekdays``: a **sorted** iterable with integers indicating on
            which days (iso codes, Monday is 1, Sunday is 7) the timers can
            be actually invoked

            If not specified, the timer will be active on all days

          - ``weekcarry`` (default: ``False``). If ``True`` and the weekday was
            not seen (ex: trading holiday), the timer will be executed on the
            next day (even if in a new week)

          - ``monthdays``: a **sorted** iterable with integers indicating on
            which days of the month a timer has to be executed. For example
            always on day *15* of the month

            If not specified, the timer will be active on all days

          - ``monthcarry`` (default: ``True``). If the day was not seen
            (weekend, trading holiday), the timer will be executed on the next
            available day.

          - ``allow`` (default: ``None``). A callback which receives a
            `datetime.date`` instance and returns ``True`` if the date is
            allowed for timers or else returns ``False``

          - ``tzdata`` which can be either ``None`` (default), a ``pytz``
            instance or a ``data feed`` instance.

            ``None``: ``when`` is interpreted at face value (which translates
            to handling it as if it where UTC even if it's not)

            ``pytz`` instance: ``when`` will be interpreted as being specified
            in the local time specified by the timezone instance.

            ``data feed`` instance: ``when`` will be interpreted as being
            specified in the local time specified by the ``tz`` parameter of
            the data feed instance.

            **Note**: If ``when`` is either ``SESSION_START`` or
              ``SESSION_END`` and ``tzdata`` is ``None``, the 1st *data feed*
              in the system (aka ``self.data0``) will be used as the reference
              to find out the session times.

          - ``cheat`` (default ``False``) if ``True`` the timer will be called
            before the broker has a chance to evaluate the orders. This opens
            the chance to issue orders based on opening price for example right
            before the session starts

          - ``*args``: any extra args will be passed to ``notify_timer``

          - ``**kwargs``: any extra kwargs will be passed to ``notify_timer``

        Return Value:

          - The created timer

        '''
        return self.cerebro._add_timer(
            owner=self, when=when, offset=offset, repeat=repeat,
            weekdays=weekdays, weekcarry=weekcarry,
            monthdays=monthdays, monthcarry=monthcarry,
            allow=allow,
            tzdata=tzdata, strats=False, cheat=cheat,
            *args, **kwargs)

    def notify_timer(self, timer, when, *args, **kwargs):
        '''Receives a timer notification where ``timer`` is the timer which was
        returned by ``add_timer``, and ``when`` is the calling time. ``args``
        and ``kwargs`` are any additional arguments passed to ``add_timer``

        The actual ``when`` time can be later, but the system may have not be
        able to call the timer before. This value is the timer value and no the
        system time.
        '''
        pass

    def notify_cashvalue(self, cash, value):
        '''
        Receives the current fund value, value status of the strategy's broker
        '''
        pass

    def notify_fund(self, cash, value, fundvalue, shares):
        '''
        Receives the current cash, value, fundvalue and fund shares
        '''
        pass

    def notify_order(self, order):
        '''
        Receives an order whenever there has been a change in one
        '''
        pass

    def notify_trade(self, trade):
        '''
        Receives a trade whenever there has been a change in one
        '''
        pass

    def notify_store(self, msg, *args, **kwargs):
        '''Receives a notification from a store provider'''
        pass

    def notify_data(self, data, status, *args, **kwargs):
        '''Receives a notification from data'''
        pass

    def getdatanames(self):
        '''
        Returns a list of the existing data names
        '''
        return keys(self.env.datasbyname)

    def getdatabyname(self, name):
        '''
        Returns a given data by name using the environment (cerebro)
        '''
        return self.env.datasbyname[name]

    def cancel(self, order):
        '''Cancels the order in the broker'''
        self.broker.cancel(order)

    def buy(self, data=None,
            size=None, price=None, plimit=None,
            exectype=None, valid=None, tradeid=0, oco=None,
            trailamount=None, trailpercent=None,
            parent=None, transmit=True,
            **kwargs):
        '''Create a buy (long) order and send it to the broker

          - ``data`` (default: ``None``)

            For which data the order has to be created. If ``None`` then the
            first data in the system, ``self.datas[0] or self.data0`` (aka
            ``self.data``) will be used

          - ``size`` (default: ``None``)

            Size to use (positive) of units of data to use for the order.

            If ``None`` the ``sizer`` instance retrieved via ``getsizer`` will
            be used to determine the size.

          - ``price`` (default: ``None``)

            Price to use (live brokers may place restrictions on the actual
            format if it does not comply to minimum tick size requirements)

            ``None`` is valid for ``Market`` and ``Close`` orders (the market
            determines the price)

            For ``Limit``, ``Stop`` and ``StopLimit`` orders this value
            determines the trigger point (in the case of ``Limit`` the trigger
            is obviously at which price the order should be matched)

          - ``plimit`` (default: ``None``)

            Only applicable to ``StopLimit`` orders. This is the price at which
            to set the implicit *Limit* order, once the *Stop* has been
            triggered (for which ``price`` has been used)

          - ``trailamount`` (default: ``None``)

            If the order type is StopTrail or StopTrailLimit, this is an
            absolute amount which determines the distance to the price (below
            for a Sell order and above for a buy order) to keep the trailing
            stop

          - ``trailpercent`` (default: ``None``)

            If the order type is StopTrail or StopTrailLimit, this is a
            percentage amount which determines the distance to the price (below
            for a Sell order and above for a buy order) to keep the trailing
            stop (if ``trailamount`` is also specified it will be used)

          - ``exectype`` (default: ``None``)

            Possible values:

            - ``Order.Market`` or ``None``. A market order will be executed
              with the next available price. In backtesting it will be the
              opening price of the next bar

            - ``Order.Limit``. An order which can only be executed at the given
              ``price`` or better

            - ``Order.Stop``. An order which is triggered at ``price`` and
              executed like an ``Order.Market`` order

            - ``Order.StopLimit``. An order which is triggered at ``price`` and
              executed as an implicit *Limit* order with price given by
              ``pricelimit``

            - ``Order.Close``. An order which can only be executed with the
              closing price of the session (usually during a closing auction)

            - ``Order.StopTrail``. An order which is triggered at ``price``
              minus ``trailamount`` (or ``trailpercent``) and which is updated
              if the price moves away from the stop

            - ``Order.StopTrailLimit``. An order which is triggered at
              ``price`` minus ``trailamount`` (or ``trailpercent``) and which
              is updated if the price moves away from the stop

          - ``valid`` (default: ``None``)

            Possible values:

              - ``None``: this generates an order that will not expire (aka
                *Good till cancel*) and remain in the market until matched or
                canceled. In reality brokers tend to impose a temporal limit,
                but this is usually so far away in time to consider it as not
                expiring

              - ``datetime.datetime`` or ``datetime.date`` instance: the date
                will be used to generate an order valid until the given
                datetime (aka *good till date*)

              - ``Order.DAY`` or ``0`` or ``timedelta()``: a day valid until
                the *End of the Session* (aka *day* order) will be generated

              - ``numeric value``: This is assumed to be a value corresponding
                to a datetime in ``matplotlib`` coding (the one used by
                ``backtrader``) and will used to generate an order valid until
                that time (*good till date*)

          - ``tradeid`` (default: ``0``)

            This is an internal value applied by ``backtrader`` to keep track
            of overlapping trades on the same asset. This ``tradeid`` is sent
            back to the *strategy* when notifying changes to the status of the
            orders.

          - ``oco`` (default: ``None``)

            Another ``order`` instance. This order will become part of an OCO
            (Order Cancel Others) group. The execution of one of the orders,
            immediately cancels all others in the same group

          - ``parent`` (default: ``None``)

            Controls the relationship of a group of orders, for example a buy
            which is bracketed by a high-side limit sell and a low side stop
            sell. The high/low side orders remain inactive until the parent
            order has been either executed (they become active) or is
            canceled/expires (the children are also canceled) bracket orders
            have the same size

          - ``transmit`` (default: ``True``)

            Indicates if the order has to be **transmitted**, ie: not only
            placed in the broker but also issued. This is meant for example to
            control bracket orders, in which one disables the transmission for
            the parent and 1st set of children and activates it for the last
            children, which triggers the full placement of all bracket orders.

          - ``**kwargs``: additional broker implementations may support extra
            parameters. ``backtrader`` will pass the *kwargs* down to the
            created order objects

            Example: if the 4 order execution types directly supported by
            ``backtrader`` are not enough, in the case of for example
            *Interactive Brokers* the following could be passed as *kwargs*::

              orderType='LIT', lmtPrice=10.0, auxPrice=9.8

            This would override the settings created by ``backtrader`` and
            generate a ``LIMIT IF TOUCHED`` order with a *touched* price of 9.8
            and a *limit* price of 10.0.

        Returns:
          - the submitted order

        '''
        if isinstance(data, string_types):
            data = self.getdatabyname(data)

        data = data if data is not None else self.datas[0]
        size = size if size is not None else self.getsizing(data, isbuy=True)

        if size:
            return self.broker.buy(
                self, data,
                size=abs(size), price=price, plimit=plimit,
                exectype=exectype, valid=valid, tradeid=tradeid, oco=oco,
                trailamount=trailamount, trailpercent=trailpercent,
                parent=parent, transmit=transmit,
                **kwargs)

        return None

    def sell(self, data=None,
             size=None, price=None, plimit=None,
             exectype=None, valid=None, tradeid=0, oco=None,
             trailamount=None, trailpercent=None,
             parent=None, transmit=True,
             **kwargs):
        '''
        To create a selll (short) order and send it to the broker

        See the documentation for ``buy`` for an explanation of the parameters

        Returns: the submitted order
        '''
        if isinstance(data, string_types):
            data = self.getdatabyname(data)

        data = data if data is not None else self.datas[0]
        size = size if size is not None else self.getsizing(data, isbuy=False)

        if size:
            return self.broker.sell(
                self, data,
                size=abs(size), price=price, plimit=plimit,
                exectype=exectype, valid=valid, tradeid=tradeid, oco=oco,
                trailamount=trailamount, trailpercent=trailpercent,
                parent=parent, transmit=transmit,
                **kwargs)

        return None

    def close(self, data=None, size=None, **kwargs):
        '''
        Counters a long/short position closing it

        See the documentation for ``buy`` for an explanation of the parameters

        Note:

          - ``size``: automatically calculated from the existing position if
            not provided (default: ``None``) by the caller

        Returns: the submitted order
        '''
        if isinstance(data, string_types):
            data = self.getdatabyname(data)
        elif data is None:
            data = self.data

        possize = self.getposition(data, self.broker).size
        size = abs(size if size is not None else possize)

        if possize > 0:
            return self.sell(data=data, size=size, **kwargs)
        elif possize < 0:
            return self.buy(data=data, size=size, **kwargs)

        return None

    def buy_bracket(self, data=None, size=None, price=None, plimit=None,
                    exectype=bt.Order.Limit, valid=None, tradeid=0,
                    trailamount=None, trailpercent=None, oargs={},
                    stopprice=None, stopexec=bt.Order.Stop, stopargs={},
                    limitprice=None, limitexec=bt.Order.Limit, limitargs={},
                    **kwargs):
        '''
        Create a bracket order group (low side - buy order - high side). The
        default behavior is as follows:

          - Issue a **buy** order with execution ``Limit``

          - Issue a *low side* bracket **sell** order with execution ``Stop``

          - Issue a *high side* bracket **sell** order with execution
            ``Limit``.

        See below for the different parameters

          - ``data`` (default: ``None``)

            For which data the order has to be created. If ``None`` then the
            first data in the system, ``self.datas[0] or self.data0`` (aka
            ``self.data``) will be used

          - ``size`` (default: ``None``)

            Size to use (positive) of units of data to use for the order.

            If ``None`` the ``sizer`` instance retrieved via ``getsizer`` will
            be used to determine the size.

            **Note**: The same size is applied to all 3 orders of the bracket

          - ``price`` (default: ``None``)

            Price to use (live brokers may place restrictions on the actual
            format if it does not comply to minimum tick size requirements)

            ``None`` is valid for ``Market`` and ``Close`` orders (the market
            determines the price)

            For ``Limit``, ``Stop`` and ``StopLimit`` orders this value
            determines the trigger point (in the case of ``Limit`` the trigger
            is obviously at which price the order should be matched)

          - ``plimit`` (default: ``None``)

            Only applicable to ``StopLimit`` orders. This is the price at which
            to set the implicit *Limit* order, once the *Stop* has been
            triggered (for which ``price`` has been used)

          - ``trailamount`` (default: ``None``)

            If the order type is StopTrail or StopTrailLimit, this is an
            absolute amount which determines the distance to the price (below
            for a Sell order and above for a buy order) to keep the trailing
            stop

          - ``trailpercent`` (default: ``None``)

            If the order type is StopTrail or StopTrailLimit, this is a
            percentage amount which determines the distance to the price (below
            for a Sell order and above for a buy order) to keep the trailing
            stop (if ``trailamount`` is also specified it will be used)

          - ``exectype`` (default: ``bt.Order.Limit``)

            Possible values: (see the documentation for the method ``buy``

          - ``valid`` (default: ``None``)

            Possible values: (see the documentation for the method ``buy``

          - ``tradeid`` (default: ``0``)

            Possible values: (see the documentation for the method ``buy``

          - ``oargs`` (default: ``{}``)

            Specific keyword arguments (in a ``dict``) to pass to the main side
            order. Arguments from the default ``**kwargs`` will be applied on
            top of this.

          - ``**kwargs``: additional broker implementations may support extra
            parameters. ``backtrader`` will pass the *kwargs* down to the
            created order objects

            Possible values: (see the documentation for the method ``buy``

            **Note**: this ``kwargs`` will be applied to the 3 orders of a
            bracket. See below for specific keyword arguments for the low and
            high side orders

          - ``stopprice`` (default: ``None``)

            Specific price for the *low side* stop order

          - ``stopexec`` (default: ``bt.Order.Stop``)

            Specific execution type for the *low side* order

          - ``stopargs`` (default: ``{}``)

            Specific keyword arguments (in a ``dict``) to pass to the low side
            order. Arguments from the default ``**kwargs`` will be applied on
            top of this.

          - ``limitprice`` (default: ``None``)

            Specific price for the *high side* stop order

          - ``stopexec`` (default: ``bt.Order.Limit``)

            Specific execution type for the *high side* order

          - ``limitargs`` (default: ``{}``)

            Specific keyword arguments (in a ``dict``) to pass to the high side
            order. Arguments from the default ``**kwargs`` will be applied on
            top of this.

        High/Low Side orders can be suppressed by using:

          - ``limitexec=None`` to suppress the *high side*

          - ``stopexec=None`` to suppress the *low side*

        Returns:

          - A list containing the 3 orders [order, stop side, limit side]

          - If high/low orders have been suppressed the return value will still
            contain 3 orders, but those suppressed will have a value of
            ``None``
        '''

        kargs = dict(size=size,
                     data=data, price=price, plimit=plimit, exectype=exectype,
                     valid=valid, tradeid=tradeid,
                     trailamount=trailamount, trailpercent=trailpercent)
        kargs.update(oargs)
        kargs.update(kwargs)
        kargs['transmit'] = limitexec is None and stopexec is None
        o = self.buy(**kargs)

        if stopexec is not None:
            # low side / stop
            kargs = dict(data=data, price=stopprice, exectype=stopexec,
                         valid=valid, tradeid=tradeid)
            kargs.update(stopargs)
            kargs.update(kwargs)
            kargs['parent'] = o
            kargs['transmit'] = limitexec is None
            kargs['size'] = o.size
            ostop = self.sell(**kargs)
        else:
            ostop = None

        if limitexec is not None:
            # high side / limit
            kargs = dict(data=data, price=limitprice, exectype=limitexec,
                         valid=valid, tradeid=tradeid)
            kargs.update(limitargs)
            kargs.update(kwargs)
            kargs['parent'] = o
            kargs['transmit'] = True
            kargs['size'] = o.size
            olimit = self.sell(**kargs)
        else:
            olimit = None

        return [o, ostop, olimit]

    def sell_bracket(self, data=None,
                     size=None, price=None, plimit=None,
                     exectype=bt.Order.Limit, valid=None, tradeid=0,
                     trailamount=None, trailpercent=None,
                     oargs={},
                     stopprice=None, stopexec=bt.Order.Stop, stopargs={},
                     limitprice=None, limitexec=bt.Order.Limit, limitargs={},
                     **kwargs):
        '''
        Create a bracket order group (low side - buy order - high side). The
        default behavior is as follows:

          - Issue a **sell** order with execution ``Limit``

          - Issue a *high side* bracket **buy** order with execution ``Stop``

          - Issue a *low side* bracket **buy** order with execution ``Limit``.

        See ``bracket_buy`` for the meaning of the parameters

        High/Low Side orders can be suppressed by using:

          - ``stopexec=None`` to suppress the *high side*

          - ``limitexec=None`` to suppress the *low side*

        Returns:

          - A list containing the 3 orders [order, stop side, limit side]

          - If high/low orders have been suppressed the return value will still
            contain 3 orders, but those suppressed will have a value of
            ``None``
        '''

        kargs = dict(size=size,
                     data=data, price=price, plimit=plimit, exectype=exectype,
                     valid=valid, tradeid=tradeid,
                     trailamount=trailamount, trailpercent=trailpercent)
        kargs.update(oargs)
        kargs.update(kwargs)
        kargs['transmit'] = limitexec is None and stopexec is None
        o = self.sell(**kargs)

        if stopexec is not None:
            # high side / stop
            kargs = dict(data=data, price=stopprice, exectype=stopexec,
                         valid=valid, tradeid=tradeid)
            kargs.update(stopargs)
            kargs.update(kwargs)
            kargs['parent'] = o
            kargs['transmit'] = limitexec is None  # transmit if last
            kargs['size'] = o.size
            ostop = self.buy(**kargs)
        else:
            ostop = None

        if limitexec is not None:
            # low side / limit
            kargs = dict(data=data, price=limitprice, exectype=limitexec,
                         valid=valid, tradeid=tradeid)
            kargs.update(limitargs)
            kargs.update(kwargs)
            kargs['parent'] = o
            kargs['transmit'] = True
            kargs['size'] = o.size
            olimit = self.buy(**kargs)
        else:
            olimit = None

        return [o, ostop, olimit]

    def order_target_size(self, data=None, target=0, **kwargs):
        '''
        Place an order to rebalance a position to have final size of ``target``

        The current ``position`` size is taken into account as the start point
        to achieve ``target``

          - If ``target`` > ``pos.size`` -> buy ``target - pos.size``

          - If ``target`` < ``pos.size`` -> sell ``pos.size - target``

        It returns either:

          - The generated order

          or

          - ``None`` if no order has been issued (``target == position.size``)
        '''
        if isinstance(data, string_types):
            data = self.getdatabyname(data)
        elif data is None:
            data = self.data

        possize = self.getposition(data, self.broker).size
        if not target and possize:
            return self.close(data=data, size=possize, **kwargs)

        elif target > possize:
            return self.buy(data=data, size=target - possize, **kwargs)

        elif target < possize:
            return self.sell(data=data, size=possize - target, **kwargs)

        return None  # no execution target == possize

    def order_target_value(self, data=None, target=0.0, price=None, **kwargs):
        '''
        Place an order to rebalance a position to have final value of
        ``target``

        The current ``value`` is taken into account as the start point to
        achieve ``target``

          - If no ``target`` then close postion on data
          - If ``target`` > ``value`` then buy on data
          - If ``target`` < ``value`` then sell on data

        It returns either:

          - The generated order

          or

          - ``None`` if no order has been issued
        '''

        if isinstance(data, string_types):
            data = self.getdatabyname(data)
        elif data is None:
            data = self.data

        possize = self.getposition(data, self.broker).size
        if not target and possize:  # closing a position
            return self.close(data=data, size=possize, price=price, **kwargs)

        else:
            value = self.broker.getvalue(datas=[data])
            comminfo = self.broker.getcommissioninfo(data)

            # Make sure a price is there
            price = price if price is not None else data.close[0]

            if target > value:
                size = comminfo.getsize(price, target - value)
                return self.buy(data=data, size=size, price=price, **kwargs)

            elif target < value:
                size = comminfo.getsize(price, value - target)
                return self.sell(data=data, size=size, price=price, **kwargs)

        return None  # no execution size == possize

    def order_target_percent(self, data=None, target=0.0, **kwargs):
        '''
        Place an order to rebalance a position to have final value of
        ``target`` percentage of current portfolio ``value``

        ``target`` is expressed in decimal: ``0.05`` -> ``5%``

        It uses ``order_target_value`` to execute the order.

        Example:
          - ``target=0.05`` and portfolio value is ``100``

          - The ``value`` to be reached is ``0.05 * 100 = 5``

          - ``5`` is passed as the ``target`` value to ``order_target_value``

        The current ``value`` is taken into account as the start point to
        achieve ``target``

        The ``position.size`` is used to determine if a position is ``long`` /
        ``short``

          - If ``target`` > ``value``
            - buy if ``pos.size >= 0`` (Increase a long position)
            - sell if ``pos.size < 0`` (Increase a short position)

          - If ``target`` < ``value``
            - sell if ``pos.size >= 0`` (Decrease a long position)
            - buy if ``pos.size < 0`` (Decrease a short position)

        It returns either:

          - The generated order

          or

          - ``None`` if no order has been issued (``target == position.size``)
        '''
        if isinstance(data, string_types):
            data = self.getdatabyname(data)
        elif data is None:
            data = self.data

        possize = self.getposition(data, self.broker).size
        target *= self.broker.getvalue()

        return self.order_target_value(data=data, target=target, **kwargs)

    def getposition(self, data=None, broker=None):
        '''
        Returns the current position for a given data in a given broker.

        If both are None, the main data and the default broker will be used

        A property ``position`` is also available
        '''
        data = data if data is not None else self.datas[0]
        broker = broker or self.broker
        return broker.getposition(data)

    position = property(getposition)

    def getpositionbyname(self, name=None, broker=None):
        '''
        Returns the current position for a given name in a given broker.

        If both are None, the main data and the default broker will be used

        A property ``positionbyname`` is also available
        '''
        data = self.datas[0] if not name else self.getdatabyname(name)
        broker = broker or self.broker
        return broker.getposition(data)

    positionbyname = property(getpositionbyname)

    def getpositions(self, broker=None):
        '''
        Returns the current by data positions directly from the broker

        If the given ``broker`` is None, the default broker will be used

        A property ``positions`` is also available
        '''
        broker = broker or self.broker
        return broker.positions

    positions = property(getpositions)

    def getpositionsbyname(self, broker=None):
        '''
        Returns the current by name positions directly from the broker

        If the given ``broker`` is None, the default broker will be used

        A property ``positionsbyname`` is also available
        '''
        broker = broker or self.broker
        positions = broker.positions

        posbyname = collections.OrderedDict()
        for name, data in iteritems(self.env.datasbyname):
            posbyname[name] = positions[data]

        return posbyname

    positionsbyname = property(getpositionsbyname)

    def _addsizer(self, sizer, *args, **kwargs):
        if sizer is None:
            self.setsizer(bt.sizers.FixedSize())
        else:
            self.setsizer(sizer(*args, **kwargs))

    def setsizer(self, sizer):
        '''
        Replace the default (fixed stake) sizer
        '''
        self._sizer = sizer
        sizer.set(self, self.broker)
        return sizer

    def getsizer(self):
        '''
        Returns the sizer which is in used if automatic statke calculation is
        used

        Also available as ``sizer``
        '''
        return self._sizer

    sizer = property(getsizer, setsizer)

    def getsizing(self, data=None, isbuy=True):
        '''
        Return the stake calculated by the sizer instance for the current
        situation
        '''
        data = data if data is not None else self.datas[0]
        return self._sizer.getsizing(data, isbuy=isbuy)


class MetaSigStrategy(Strategy.__class__):

    def __new__(meta, name, bases, dct):
        # map user defined next to custom to be able to call own method before
        if 'next' in dct:
            dct['_next_custom'] = dct.pop('next')

        cls = super(MetaSigStrategy, meta).__new__(meta, name, bases, dct)

        # after class creation remap _next_catch to be next
        cls.next = cls._next_catch
        return cls

    def dopreinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaSigStrategy, cls).dopreinit(_obj, *args, **kwargs)

        _obj._signals = collections.defaultdict(list)

        _data = _obj.p._data
        if _data is None:
            _obj._dtarget = _obj.data0
        elif isinstance(_data, integer_types):
            _obj._dtarget = _obj.datas[_data]
        elif isinstance(_data, string_types):
            _obj._dtarget = _obj.getdatabyname(_data)
        elif isinstance(_data, bt.LineRoot):
            _obj._dtarget = _data
        else:
            _obj._dtarget = _obj.data0

        return _obj, args, kwargs

    def dopostinit(cls, _obj, *args, **kwargs):
        _obj, args, kwargs = \
            super(MetaSigStrategy, cls).dopostinit(_obj, *args, **kwargs)

        for sigtype, sigcls, sigargs, sigkwargs in _obj.p.signals:
            _obj._signals[sigtype].append(sigcls(*sigargs, **sigkwargs))

        # Record types of signals
        _obj._longshort = bool(_obj._signals[bt.SIGNAL_LONGSHORT])

        _obj._long = bool(_obj._signals[bt.SIGNAL_LONG])
        _obj._short = bool(_obj._signals[bt.SIGNAL_SHORT])

        _obj._longexit = bool(_obj._signals[bt.SIGNAL_LONGEXIT])
        _obj._shortexit = bool(_obj._signals[bt.SIGNAL_SHORTEXIT])

        return _obj, args, kwargs


class SignalStrategy(with_metaclass(MetaSigStrategy, Strategy)):
    '''This subclass of ``Strategy`` is meant to to auto-operate using
    **signals**.

    *Signals* are usually indicators and the expected output values:

      - ``> 0`` is a ``long`` indication

      - ``< 0`` is a ``short`` indication

    There are 5 types of *Signals*, broken in 2 groups.

    **Main Group**:

      - ``LONGSHORT``: both ``long`` and ``short`` indications from this signal
        are taken

      - ``LONG``:
        - ``long`` indications are taken to go long
        - ``short`` indications are taken to *close* the long position. But:

          - If a ``LONGEXIT`` (see below) signal is in the system it will be
            used to exit the long

          - If a ``SHORT`` signal is available and no ``LONGEXIT`` is available
            , it will be used to close a ``long`` before opening a ``short``

      - ``SHORT``:
        - ``short`` indications are taken to go short
        - ``long`` indications are taken to *close* the short position. But:

          - If a ``SHORTEXIT`` (see below) signal is in the system it will be
            used to exit the short

          - If a ``LONG`` signal is available and no ``SHORTEXIT`` is available
            , it will be used to close a ``short`` before opening a ``long``

    **Exit Group**:

      This 2 signals are meant to override others and provide criteria for
      exitins a ``long``/``short`` position

      - ``LONGEXIT``: ``short`` indications are taken to exit ``long``
        positions

      - ``SHORTEXIT``: ``long`` indications are taken to exit ``short``
        positions

    **Order Issuing**

      Orders execution type is ``Market`` and validity is ``None`` (*Good until
      Canceled*)

    Params:

      - ``signals`` (default: ``[]``): a list/tuple of lists/tuples that allows
        the instantiation of the signals and allocation to the right type

        This parameter is expected to be managed through ``cerebro.add_signal``

      - ``_accumulate`` (default: ``False``): allow to enter the market
        (long/short) even if already in the market

      - ``_concurrent`` (default: ``False``): allow orders to be issued even if
        orders are already pending execution

      - ``_data`` (default: ``None``): if multiple datas are present in the
        system which is the target for orders. This can be

        - ``None``: The first data in the system will be used

        - An ``int``: indicating the data that was inserted at that position

        - An ``str``: name given to the data when creating it (parameter
          ``name``) or when adding it cerebro with ``cerebro.adddata(...,
          name=)``

        - A ``data`` instance

    '''

    params = (
        ('signals', []),
        ('_accumulate', False),
        ('_concurrent', False),
        ('_data', None),
    )

    def _start(self):
        self._sentinel = None  # sentinel for order concurrency
        super(SignalStrategy, self)._start()

    def signal_add(self, sigtype, signal):
        self._signals[sigtype].append(signal)

    def _notify(self, qorders=[], qtrades=[]):
        # Nullify the sentinel if done
        procorders = qorders or self._orderspending
        if self._sentinel is not None:
            for order in procorders:
                if order == self._sentinel and not order.alive():
                    self._sentinel = None
                    break

        super(SignalStrategy, self)._notify(qorders=qorders, qtrades=qtrades)

    def _next_catch(self):
        self._next_signal()
        if hasattr(self, '_next_custom'):
            self._next_custom()

    def _next_signal(self):
        if self._sentinel is not None and not self.p._concurrent:
            return  # order active and more than 1 not allowed

        sigs = self._signals
        nosig = [[0.0]]

        # Calculate current status of the signals
        ls_long = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONGSHORT] or nosig)
        ls_short = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONGSHORT] or nosig)

        l_enter0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONG] or nosig)
        l_enter1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONG_INV] or nosig)
        l_enter2 = all(x[0] for x in sigs[bt.SIGNAL_LONG_ANY] or nosig)
        l_enter = l_enter0 or l_enter1 or l_enter2

        s_enter0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORT] or nosig)
        s_enter1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORT_INV] or nosig)
        s_enter2 = all(x[0] for x in sigs[bt.SIGNAL_SHORT_ANY] or nosig)
        s_enter = s_enter0 or s_enter1 or s_enter2

        l_ex0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONGEXIT] or nosig)
        l_ex1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONGEXIT_INV] or nosig)
        l_ex2 = all(x[0] for x in sigs[bt.SIGNAL_LONGEXIT_ANY] or nosig)
        l_exit = l_ex0 or l_ex1 or l_ex2

        s_ex0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORTEXIT] or nosig)
        s_ex1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORTEXIT_INV] or nosig)
        s_ex2 = all(x[0] for x in sigs[bt.SIGNAL_SHORTEXIT_ANY] or nosig)
        s_exit = s_ex0 or s_ex1 or s_ex2

        # Use oppossite signales to start reversal (by closing)
        # but only if no "xxxExit" exists
        l_rev = not self._longexit and s_enter
        s_rev = not self._shortexit and l_enter

        # Opposite of individual long and short
        l_leav0 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_LONG] or nosig)
        l_leav1 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_LONG_INV] or nosig)
        l_leav2 = all(x[0] for x in sigs[bt.SIGNAL_LONG_ANY] or nosig)
        l_leave = l_leav0 or l_leav1 or l_leav2

        s_leav0 = all(x[0] > 0.0 for x in sigs[bt.SIGNAL_SHORT] or nosig)
        s_leav1 = all(x[0] < 0.0 for x in sigs[bt.SIGNAL_SHORT_INV] or nosig)
        s_leav2 = all(x[0] for x in sigs[bt.SIGNAL_SHORT_ANY] or nosig)
        s_leave = s_leav0 or s_leav1 or s_leav2

        # Invalidate long leave if longexit signals are available
        l_leave = not self._longexit and l_leave
        # Invalidate short leave if shortexit signals are available
        s_leave = not self._shortexit and s_leave

        # Take size and start logic
        size = self.getposition(self._dtarget).size
        if not size:
            if ls_long or l_enter:
                self._sentinel = self.buy(self._dtarget)

            elif ls_short or s_enter:
                self._sentinel = self.sell(self._dtarget)

        elif size > 0:  # current long position
            if ls_short or l_exit or l_rev or l_leave:
                # closing position - not relevant for concurrency
                self.close(self._dtarget)

            if ls_short or l_rev:
                self._sentinel = self.sell(self._dtarget)

            if ls_long or l_enter:
                if self.p._accumulate:
                    self._sentinel = self.buy(self._dtarget)

        elif size < 0:  # current short position
            if ls_long or s_exit or s_rev or s_leave:
                # closing position - not relevant for concurrency
                self.close(self._dtarget)

            if ls_long or s_rev:
                self._sentinel = self.buy(self._dtarget)

            if ls_short or s_enter:
                if self.p._accumulate:
                    self._sentinel = self.sell(self._dtarget)


================================================
FILE: backtrader/studies/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from backtrader import Indicator


================================================
FILE: backtrader/studies/contrib/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt

from .import fractal as fractal
for name in fractal.__all__:
    setattr(bt.studies, name, getattr(fractal, name))


================================================
FILE: backtrader/studies/contrib/fractal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-

###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
# (based on backtrader from Daniel Rodriguez)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################

import backtrader as bt


__all__ = ['Fractal']


class Fractal(bt.ind.PeriodN):
    '''
    References:
        [Ref 1] http://www.investopedia.com/articles/trading/06/fractals.asp

    '''
    lines = ('fractal_bearish', 'fractal_bullish')

    plotinfo = dict(subplot=False, plotlinelabels=False, plot=True)

    plotlines = dict(
        fractal_bearish=dict(marker='^', markersize=4.0, color='lightblue',
                             fillstyle='full', ls=''),
        fractal_bullish=dict(marker='v', markersize=4.0, color='lightblue',
                             fillstyle='full', ls='')
    )
    params = (
        ('period', 5),
        ('bardist', 0.015),  # distance to max/min in absolute perc
        ('shift_to_potential_fractal', 2),
    )

    def next(self):
        # A bearish turning point occurs when there is a pattern with the
        # highest high in the middle and two lower highs on each side. [Ref 1]

        last_five_highs = self.data.high.get(size=self.p.period)
        max_val = max(last_five_highs)
        max_idx = last_five_highs.index(max_val)

        if max_idx == self.p.shift_to_potential_fractal:
            self.lines.fractal_bearish[-2] = max_val * (1 + self.p.bardist)

        # A bullish turning point occurs when there is a pattern with the
        # lowest low in the middle and two higher lowers on each side. [Ref 1]
        last_five_lows = self.data.low.get(size=self.p.period)
        min_val = min(last_five_lows)
        min_idx = last_five_lows.index(min_val)

        if min_idx == self.p.shift_to_potential_fractal:
            self.l.fractal_bullish[-2] = min_val * (1 - self.p.bardist)


================================================
FILE: backtrader/talib.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# The modules below should/must define __all__ with the objects wishes
# or prepend an "_" (underscore) to private classes/variables

import sys

import backtrader as bt
from backtrader.utils.py3 import with_metaclass


try:
    import talib
except ImportError:
    __all__ = []  # talib is not available
else:
    import numpy as np  # talib dependency
    import talib.abstract

    MA_Type = talib.MA_Type

    # Reverse TA_FUNC_FLAGS dict
    R_TA_FUNC_FLAGS = dict(
        zip(talib.abstract.TA_FUNC_FLAGS.values(),
            talib.abstract.TA_FUNC_FLAGS.keys()))

    FUNC_FLAGS_SAMESCALE = 16777216
    FUNC_FLAGS_UNSTABLE = 134217728
    FUNC_FLAGS_CANDLESTICK = 268435456

    R_TA_OUTPUT_FLAGS = dict(
        zip(talib.abstract.TA_OUTPUT_FLAGS.values(),
            talib.abstract.TA_OUTPUT_FLAGS.keys()))

    OUT_FLAGS_LINE = 1
    OUT_FLAGS_DOTTED = 2
    OUT_FLAGS_DASH = 4
    OUT_FLAGS_HISTO = 16
    OUT_FLAGS_UPPER = 2048
    OUT_FLAGS_LOWER = 4096

    # Generate all indicators as subclasses

    class _MetaTALibIndicator(bt.Indicator.__class__):
        _refname = '_taindcol'
        _taindcol = dict()

        _KNOWN_UNSTABLE = ['SAR']

        def dopostinit(cls, _obj, *args, **kwargs):
            # Go to parent
            res = super(_MetaTALibIndicator, cls).dopostinit(_obj,
                                                             *args, **kwargs)
            _obj, args, kwargs = res

            # Get the minimum period by using the abstract interface and params
            _obj._tabstract.set_function_args(**_obj.p._getkwargs())
            _obj._lookback = lookback = _obj._tabstract.lookback + 1
            _obj.updateminperiod(lookback)
            if _obj._unstable:
                _obj._lookback = 0

            elif cls.__name__ in cls._KNOWN_UNSTABLE:
                _obj._lookback = 0

            cerebro = bt.metabase.findowner(_obj, bt.Cerebro)
            tafuncinfo = _obj._tabstract.info
            _obj._tafunc = getattr(talib, tafuncinfo['name'], None)
            return _obj, args, kwargs  # return the object and args

    class _TALibIndicator(with_metaclass(_MetaTALibIndicator, bt.Indicator)):
        CANDLEOVER = 1.02  # 2% over
        CANDLEREF = 1  # Open, High, Low, Close (0, 1, 2, 3)

        @classmethod
        def _subclass(cls, name):
            # Module where the class has to end (namely this one)
            clsmodule = sys.modules[cls.__module__]

            # Create an abstract interface to get lines names
            _tabstract = talib.abstract.Function(name)

            # Variables about the the info learnt from func_flags
            iscandle = False
            unstable = False

            # Prepare plotinfo
            plotinfo = dict()
            fflags = _tabstract.function_flags or []
            for fflag in fflags:
                rfflag = R_TA_FUNC_FLAGS[fflag]
                if rfflag == FUNC_FLAGS_SAMESCALE:
                    plotinfo['subplot'] = False
                elif rfflag == FUNC_FLAGS_UNSTABLE:
                    unstable = True
                elif rfflag == FUNC_FLAGS_CANDLESTICK:
                    plotinfo['subplot'] = False
                    plotinfo['plotlinelabels'] = True
                    iscandle = True

            # Prepare plotlines
            lines = _tabstract.output_names
            output_flags = _tabstract.output_flags
            plotlines = dict()
            samecolor = False
            for lname in lines:
                oflags = output_flags.get(lname, None)
                pline = dict()
                for oflag in oflags or []:
                    orflag = R_TA_OUTPUT_FLAGS[oflag]
                    if orflag & OUT_FLAGS_LINE:
                        if not iscandle:
                            pline['ls'] = '-'
                        else:
                            pline['_plotskip'] = True  # do not plot candles

                    elif orflag & OUT_FLAGS_DASH:
                        pline['ls'] = '--'
                    elif orflag & OUT_FLAGS_DOTTED:
                        pline['ls'] = ':'
                    elif orflag & OUT_FLAGS_HISTO:
                        pline['_method'] = 'bar'

                    if samecolor:
                        pline['_samecolor'] = True

                    if orflag & OUT_FLAGS_LOWER:
                        samecolor = False

                    elif orflag & OUT_FLAGS_UPPER:
                        samecolor = True  # last: other values in loop are seen

                if pline:  # the dict has something
                    plotlines[lname] = pline

            if iscandle:
                # This is the line that will be plotted when the output of the
                # indicator is a candle. The values of a candle (100) will be
                # used to plot a sign above the maximum of the bar which
                # produces the candle
                pline = dict()
                pline['_name'] = name  # plotted name
                lname = '_candleplot'  # change name
                lines.append(lname)
                pline['ls'] = ''
                pline['marker'] = 'd'
                pline['markersize'] = '7.0'
                pline['fillstyle'] = 'full'
                plotlines[lname] = pline

            # Prepare dictionary for subclassing
            clsdict = {
                '__module__': cls.__module__,
                '__doc__': str(_tabstract),
                '_tabstract': _tabstract,  # keep ref for lookback calcs
                '_iscandle': iscandle,
                '_unstable': unstable,
                'params': _tabstract.get_parameters(),
                'lines': tuple(lines),
                'plotinfo': plotinfo,
                'plotlines': plotlines,
            }
            newcls = type(str(name), (cls,), clsdict)  # subclass
            setattr(clsmodule, str(name), newcls)  # add to module

        def oncestart(self, start, end):
            pass  # if not ... a call with a single value to once will happen

        def once(self, start, end):
            import array

            # prepare the data arrays - single shot
            narrays = [np.array(x.lines[0].array) for x in self.datas]
            # Execute
            output = self._tafunc(*narrays, **self.p._getkwargs())

            fsize = self.size()
            lsize = fsize - self._iscandle
            if lsize == 1:  # only 1 output, no tuple returned
                self.lines[0].array = array.array(str('d'), output)

                if fsize > lsize:  # candle is present
                    candleref = narrays[self.CANDLEREF] * self.CANDLEOVER
                    output2 = candleref * (output / 100.0)
                    self.lines[1].array = array.array(str('d'), output2)

            else:
                for i, o in enumerate(output):
                    self.lines[i].array = array.array(str('d'), o)

        def next(self):
            # prepare the data arrays - single shot
            size = self._lookback or len(self)
            narrays = [np.array(x.lines[0].get(size=size)) for x in self.datas]

            out = self._tafunc(*narrays, **self.p._getkwargs())

            fsize = self.size()
            lsize = fsize - self._iscandle
            if lsize == 1:  # only 1 output, no tuple returned
                self.lines[0][0] = o = out[-1]

                if fsize > lsize:  # candle is present
                    candleref = narrays[self.CANDLEREF][-1] * self.CANDLEOVER
                    o2 = candleref * (o / 100.0)
                    self.lines[1][0] = o2

            else:
                for i, o in enumerate(out):
                    self.lines[i][0] = o[-1]

    # When importing the module do an automatic declaration of thed
    tafunctions = talib.get_functions()
    for tafunc in tafunctions:
        _TALibIndicator._subclass(tafunc)

    __all__ = tafunctions + ['MA_Type', '_TALibIndicator']


================================================
FILE: backtrader/timer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import bisect
import collections
from datetime import date, datetime, timedelta
from itertools import islice

from .feed import AbstractDataBase
from .metabase import MetaParams
from .utils import date2num, num2date
from .utils.py3 import integer_types, range, with_metaclass
from .utils import TIME_MAX


__all__ = ['SESSION_TIME', 'SESSION_START', 'SESSION_END', 'Timer']

SESSION_TIME, SESSION_START, SESSION_END = range(3)


class Timer(with_metaclass(MetaParams, object)):
    params = (
        ('tid', None),
        ('owner', None),
        ('strats', False),
        ('when', None),
        ('offset', timedelta()),
        ('repeat', timedelta()),
        ('weekdays', []),
        ('weekcarry', False),
        ('monthdays', []),
        ('monthcarry', True),
        ('allow', None),  # callable that allows a timer to take place
        ('tzdata', None),
        ('cheat', False),
    )

    SESSION_TIME, SESSION_START, SESSION_END = range(3)

    def __init__(self, *args, **kwargs):
        self.args = args
        self.kwargs = kwargs

    def start(self, data):
        # write down the 'reset when' value
        if not isinstance(self.p.when, integer_types):  # expect time/datetime
            self._rstwhen = self.p.when
            self._tzdata = self.p.tzdata
        else:
            self._tzdata = data if self.p.tzdata is None else self.p.tzdata

            if self.p.when == SESSION_START:
                self._rstwhen = self._tzdata.p.sessionstart
            elif self.p.when == SESSION_END:
                self._rstwhen = self._tzdata.p.sessionend

        self._isdata = isinstance(self._tzdata, AbstractDataBase)
        self._reset_when()

        self._nexteos = datetime.min
        self._curdate = date.min

        self._curmonth = -1  # non-existent month
        self._monthmask = collections.deque()

        self._curweek = -1  # non-existent week
        self._weekmask = collections.deque()

    def _reset_when(self, ddate=datetime.min):
        self._when = self._rstwhen
        self._dtwhen = self._dwhen = None

        self._lastcall = ddate

    def _check_month(self, ddate):
        if not self.p.monthdays:
            return True

        mask = self._monthmask
        daycarry = False
        dmonth = ddate.month
        if dmonth != self._curmonth:
            self._curmonth = dmonth  # write down new month
            daycarry = self.p.monthcarry and bool(mask)
            self._monthmask = mask = collections.deque(self.p.monthdays)

        dday = ddate.day
        dc = bisect.bisect_left(mask, dday)  # "left" for days before dday
        daycarry = daycarry or (self.p.monthcarry and dc > 0)
        if dc < len(mask):
            curday = bisect.bisect_right(mask, dday, lo=dc) > 0  # check dday
            dc += curday
        else:
            curday = False

        while dc:
            mask.popleft()
            dc -= 1

        return daycarry or curday

    def _check_week(self, ddate=date.min):
        if not self.p.weekdays:
            return True

        _, dweek, dwkday = ddate.isocalendar()

        mask = self._weekmask
        daycarry = False
        if dweek != self._curweek:
            self._curweek = dweek  # write down new month
            daycarry = self.p.weekcarry and bool(mask)
            self._weekmask = mask = collections.deque(self.p.weekdays)

        dc = bisect.bisect_left(mask, dwkday)  # "left" for days before dday
        daycarry = daycarry or (self.p.weekcarry and dc > 0)
        if dc < len(mask):
            curday = bisect.bisect_right(mask, dwkday, lo=dc) > 0  # check dday
            dc += curday
        else:
            curday = False

        while dc:
            mask.popleft()
            dc -= 1

        return daycarry or curday

    def check(self, dt):
        d = num2date(dt)
        ddate = d.date()
        if self._lastcall == ddate:  # not repeating, awaiting date change
            return False

        if d > self._nexteos:
            if self._isdata:  # eos provided by data
                nexteos, _ = self._tzdata._getnexteos()
            else:  # generic eos
                nexteos = datetime.combine(ddate, TIME_MAX)
            self._nexteos = nexteos
            self._reset_when()

        if ddate > self._curdate:  # day change
            self._curdate = ddate
            ret = self._check_month(ddate)
            if ret:
                ret = self._check_week(ddate)
            if ret and self.p.allow is not None:
                ret = self.p.allow(ddate)

            if not ret:
                self._reset_when(ddate)  # this day won't make it
                return False  # timer target not met

        # no day change or passed month, week and allow filters on date change
        dwhen = self._dwhen
        dtwhen = self._dtwhen
        if dtwhen is None:
            dwhen = datetime.combine(ddate, self._when)
            if self.p.offset:
                dwhen += self.p.offset

            self._dwhen = dwhen

            if self._isdata:
                self._dtwhen = dtwhen = self._tzdata.date2num(dwhen)
            else:
                self._dtwhen = dtwhen = date2num(dwhen, tz=self._tzdata)

        if dt < dtwhen:
            return False  # timer target not met

        self.lastwhen = dwhen  # record when the last timer "when" happened

        if not self.p.repeat:  # cannot repeat
            self._reset_when(ddate)  # reset and mark as called on ddate
        else:
            if d > self._nexteos:
                if self._isdata:  # eos provided by data
                    nexteos, _ = self._tzdata._getnexteos()
                else:  # generic eos
                    nexteos = datetime.combine(ddate, TIME_MAX)

                self._nexteos = nexteos
            else:
                nexteos = self._nexteos

            while True:
                dwhen += self.p.repeat
                if dwhen > nexteos:  # new schedule is beyone session
                    self._reset_when(ddate)  # reset to original point
                    break

                if dwhen > d:  # gone over current datetime
                    self._dtwhen = dtwhen = date2num(dwhen)  # float timestamp
                    # Get the localized expected next time
                    if self._isdata:
                        self._dwhen = self._tzdata.num2date(dtwhen)
                    else:  # assume pytz compatible or None
                        self._dwhen = num2date(dtwhen, tz=self._tzdata)

                    break

        return True  # timer target was met


================================================
FILE: backtrader/trade.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import itertools

from .utils import AutoOrderedDict
from .utils.date import num2date
from .utils.py3 import range


class TradeHistory(AutoOrderedDict):
    '''Represents the status and update event for each update a Trade has

    This object is a dictionary which allows '.' notation

    Attributes:
      - ``status`` (``dict`` with '.' notation): Holds the resulting status of
        an update event and has the following sub-attributes

        - ``status`` (``int``): Trade status
        - ``dt`` (``float``): float coded datetime
        - ``barlen`` (``int``): number of bars the trade has been active
        - ``size`` (``int``): current size of the Trade
        - ``price`` (``float``): current price of the Trade
        - ``value`` (``float``): current monetary value of the Trade
        - ``pnl`` (``float``): current profit and loss of the Trade
        - ``pnlcomm`` (``float``): current profit and loss minus commission

      - ``event`` (``dict`` with '.' notation): Holds the event update
        - parameters

        - ``order`` (``object``): the order which initiated the``update``
        - ``size`` (``int``): size of the update
        - ``price`` (``float``):price of the update
        - ``commission`` (``float``): price of the update
    '''

    def __init__(self,
                 status, dt, barlen, size, price, value, pnl, pnlcomm, tz, event=None):
        '''Initializes the object to the current status of the Trade'''
        super(TradeHistory, self).__init__()
        self.status.status = status
        self.status.dt = dt
        self.status.barlen = barlen
        self.status.size = size
        self.status.price = price
        self.status.value = value
        self.status.pnl = pnl
        self.status.pnlcomm = pnlcomm
        self.status.tz = tz
        if event is not None:
            self.event = event

    def __reduce__(self):
        return (self.__class__, (self.status.status, self.status.dt, self.status.barlen, self.status.size,
                                 self.status.price, self.status.value, self.status.pnl, self.status.pnlcomm,
                                 self.status.tz, self.event, ))

    def doupdate(self, order, size, price, commission):
        '''Used to fill the ``update`` part of the history entry'''
        self.event.order = order
        self.event.size = size
        self.event.price = price
        self.event.commission = commission

        # Do not allow updates (avoids typing errors)
        self._close()

    def datetime(self, tz=None, naive=True):
        '''Returns a datetime for the time the update event happened'''
        return num2date(self.status.dt, tz or self.status.tz, naive)


class Trade(object):
    '''Keeps track of the life of an trade: size, price,
    commission (and value?)

    An trade starts at 0 can be increased and reduced and can
    be considered closed if it goes back to 0.

    The trade can be long (positive size) or short (negative size)

    An trade is not meant to be reversed (no support in the logic for it)

    Member Attributes:

      - ``ref``: unique trade identifier
      - ``status`` (``int``): one of Created, Open, Closed
      - ``tradeid``: grouping tradeid passed to orders during creation
        The default in orders is 0
      - ``size`` (``int``): current size of the trade
      - ``price`` (``float``): current price of the trade
      - ``value`` (``float``): current value of the trade
      - ``commission`` (``float``): current accumulated commission
      - ``pnl`` (``float``): current profit and loss of the trade (gross pnl)
      - ``pnlcomm`` (``float``): current profit and loss of the trade minus
        commission (net pnl)
      - ``isclosed`` (``bool``): records if the last update closed (set size to
        null the trade
      - ``isopen`` (``bool``): records if any update has opened the trade
      - ``justopened`` (``bool``): if the trade was just opened
      - ``baropen`` (``int``): bar in which this trade was opened

      - ``dtopen`` (``float``): float coded datetime in which the trade was
        opened

        - Use method ``open_datetime`` to get a Python datetime.datetime
          or use the platform provided ``num2date`` method

      - ``barclose`` (``int``): bar in which this trade was closed

      - ``dtclose`` (``float``): float coded datetime in which the trade was
        closed

        - Use method ``close_datetime`` to get a Python datetime.datetime
          or use the platform provided ``num2date`` method

      - ``barlen`` (``int``): number of bars this trade was open
      - ``historyon`` (``bool``): whether history has to be recorded
      - ``history`` (``list``): holds a list updated with each "update" event
        containing the resulting status and parameters used in the update

        The first entry in the history is the Opening Event
        The last entry in the history is the Closing Event

    '''
    refbasis = itertools.count(1)

    status_names = ['Created', 'Open', 'Closed']
    Created, Open, Closed = range(3)

    def __str__(self):
        toprint = (
            'ref', 'data', 'tradeid',
            'size', 'price', 'value', 'commission', 'pnl', 'pnlcomm',
            'justopened', 'isopen', 'isclosed',
            'baropen', 'dtopen', 'barclose', 'dtclose', 'barlen',
            'historyon', 'history',
            'status')

        return '\n'.join(
            (':'.join((x, str(getattr(self, x)))) for x in toprint)
        )

    def __init__(self, data=None, tradeid=0, historyon=False,
                 size=0, price=0.0, value=0.0, commission=0.0):

        self.ref = next(self.refbasis)
        self.data = data
        self.tradeid = tradeid
        self.size = size
        self.price = price
        self.value = value
        self.commission = commission

        self.pnl = 0.0
        self.pnlcomm = 0.0

        self.justopened = False
        self.isopen = False
        self.isclosed = False

        self.baropen = 0
        self.dtopen = 0.0
        self.barclose = 0
        self.dtclose = 0.0
        self.barlen = 0

        self.historyon = historyon
        self.history = list()

        self.status = self.Created

    def __len__(self):
        '''Absolute size of the trade'''
        return abs(self.size)

    def __bool__(self):
        '''Trade size is not 0'''
        return self.size != 0

    __nonzero__ = __bool__

    def getdataname(self):
        '''Shortcut to retrieve the name of the data this trade references'''
        return self.data._name

    def open_datetime(self, tz=None, naive=True):
        '''Returns a datetime.datetime object with the datetime in which
        the trade was opened
        '''
        return self.data.num2date(self.dtopen, tz=tz, naive=naive)

    def close_datetime(self, tz=None, naive=True):
        '''Returns a datetime.datetime object with the datetime in which
        the trade was closed
        '''
        return self.data.num2date(self.dtclose, tz=tz, naive=naive)

    def update(self, order, size, price, value, commission, pnl,
               comminfo):
        '''
        Updates the current trade. The logic does not check if the
        trade is reversed, which is not conceptually supported by the
        object.

        If an update sets the size attribute to 0, "closed" will be
        set to true

        Updates may be received twice for each order, once for the existing
        size which has been closed (sell undoing a buy) and a second time for
        the the opening part (sell reversing a buy)

        Args:
            order: the order object which has (completely or partially)
                generated this update
            size (int): amount to update the order
                if size has the same sign as the current trade a
                position increase will happen
                if size has the opposite sign as current op size a
                reduction/close will happen

            price (float): always be positive to ensure consistency
            value (float): (unused) cost incurred in new size/price op
                           Not used because the value is calculated for the
                           trade
            commission (float): incurred commission in the new size/price op
            pnl (float): (unused) generated by the executed part
                         Not used because the trade has an independent pnl
        '''
        if not size:
            return  # empty update, skip all other calculations

        # Commission can only increase
        self.commission += commission

        # Update size and keep a reference for logic an calculations
        oldsize = self.size
        self.size += size  # size will carry the opposite sign if reducing

        # Check if it has been currently opened
        self.justopened = bool(not oldsize and size)

        if self.justopened:
            self.baropen = len(self.data)
            self.dtopen = 0.0 if order.p.simulated else self.data.datetime[0]
            self.long = self.size > 0

        # Any size means the trade was opened
        self.isopen = bool(self.size)

        # Update current trade length
        self.barlen = len(self.data) - self.baropen

        # record if the position was closed (set to null)
        self.isclosed = bool(oldsize and not self.size)

        # record last bar for the trade
        if self.isclosed:
            self.isopen = False
            self.barclose = len(self.data)
            self.dtclose = self.data.datetime[0]

            self.status = self.Closed
        elif self.isopen:
            self.status = self.Open

        if abs(self.size) > abs(oldsize):
            # position increased (be it positive or negative)
            # update the average price
            self.price = (oldsize * self.price + size * price) / self.size
            pnl = 0.0

        else:  # abs(self.size) < abs(oldsize)
            # position reduced/closed
            pnl = comminfo.profitandloss(-size, self.price, price)

        self.pnl += pnl
        self.pnlcomm = self.pnl - self.commission

        self.value = comminfo.getvaluesize(self.size, self.price)

        # Update the history if needed
        if self.historyon:
            dt0 = self.data.datetime[0] if not order.p.simulated else 0.0
            histentry = TradeHistory(
                self.status, dt0, self.barlen,
                self.size, self.price, self.value,
                self.pnl, self.pnlcomm, self.data._tz)
            histentry.doupdate(order, size, price, commission)
            self.history.append(histentry)


================================================
FILE: backtrader/tradingcal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from datetime import datetime, timedelta, time

from .metabase import MetaParams
from backtrader.utils.py3 import string_types, with_metaclass
from backtrader.utils import UTC

__all__ = ['TradingCalendarBase', 'TradingCalendar', 'PandasMarketCalendar']

# Imprecission in the full time conversion to float would wrap over to next day
# if microseconds is 999999 as defined in time.max
_time_max = time(hour=23, minute=59, second=59, microsecond=999990)


MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY = range(7)
(ISONODAY, ISOMONDAY, ISOTUESDAY, ISOWEDNESDAY, ISOTHURSDAY, ISOFRIDAY,
 ISOSATURDAY, ISOSUNDAY) = range(8)

WEEKEND = [SATURDAY, SUNDAY]
ISOWEEKEND = [ISOSATURDAY, ISOSUNDAY]
ONEDAY = timedelta(days=1)


class TradingCalendarBase(with_metaclass(MetaParams, object)):
    def _nextday(self, day):
        '''
        Returns the next trading day (datetime/date instance) after ``day``
        (datetime/date instance) and the isocalendar components

        The return value is a tuple with 2 components: (nextday, (y, w, d))
        '''
        raise NotImplementedError

    def schedule(self, day):
        '''
        Returns a tuple with the opening and closing times (``datetime.time``)
        for the given ``date`` (``datetime/date`` instance)
        '''
        raise NotImplementedError

    def nextday(self, day):
        '''
        Returns the next trading day (datetime/date instance) after ``day``
        (datetime/date instance)
        '''
        return self._nextday(day)[0]  # 1st ret elem is next day

    def nextday_week(self, day):
        '''
        Returns the iso week number of the next trading day, given a ``day``
        (datetime/date) instance
        '''
        self._nextday(day)[1][1]  # 2 elem is isocal / 0 - y, 1 - wk, 2 - day

    def last_weekday(self, day):
        '''
        Returns ``True`` if the given ``day`` (datetime/date) instance is the
        last trading day of this week
        '''
        # Next day must be greater than day. If the week changes is enough for
        # a week change even if the number is smaller (year change)
        return day.isocalendar()[1] != self._nextday(day)[1][1]

    def last_monthday(self, day):
        '''
        Returns ``True`` if the given ``day`` (datetime/date) instance is the
        last trading day of this month
        '''
        # Next day must be greater than day. If the week changes is enough for
        # a week change even if the number is smaller (year change)
        return day.month != self._nextday(day)[0].month

    def last_yearday(self, day):
        '''
        Returns ``True`` if the given ``day`` (datetime/date) instance is the
        last trading day of this month
        '''
        # Next day must be greater than day. If the week changes is enough for
        # a week change even if the number is smaller (year change)
        return day.year != self._nextday(day)[0].year


class TradingCalendar(TradingCalendarBase):
    '''
    Wrapper of ``pandas_market_calendars`` for a trading calendar. The package
    ``pandas_market_calendar`` must be installed

    Params:

      - ``open`` (default ``time.min``)

        Regular start of the session

      - ``close`` (default ``time.max``)

        Regular end of the session

      - ``holidays`` (default ``[]``)

        List of non-trading days (``datetime.datetime`` instances)

      - ``earlydays`` (default ``[]``)

        List of tuples determining the date and opening/closing times of days
        which do not conform to the regular trading hours where each tuple has
        (``datetime.datetime``, ``datetime.time``, ``datetime.time`` )

      - ``offdays`` (default ``ISOWEEKEND``)

        A list of weekdays in ISO format (Monday: 1 -> Sunday: 7) in which the
        market doesn't trade. This is usually Saturday and Sunday and hence the
        default

    '''
    params = (
        ('open', time.min),
        ('close', _time_max),
        ('holidays', []),  # list of non trading days (date)
        ('earlydays', []),  # list of tuples (date, opentime, closetime)
        ('offdays', ISOWEEKEND),  # list of non trading (isoweekdays)
    )

    def __init__(self):
        self._earlydays = [x[0] for x in self.p.earlydays]  # speed up searches

    def _nextday(self, day):
        '''
        Returns the next trading day (datetime/date instance) after ``day``
        (datetime/date instance) and the isocalendar components

        The return value is a tuple with 2 components: (nextday, (y, w, d))
        '''
        while True:
            day += ONEDAY
            isocal = day.isocalendar()
            if isocal[2] in self.p.offdays or day in self.p.holidays:
                continue

            return day, isocal

    def schedule(self, day, tz=None):
        '''
        Returns the opening and closing times for the given ``day``. If the
        method is called, the assumption is that ``day`` is an actual trading
        day

        The return value is a tuple with 2 components: opentime, closetime
        '''
        while True:
            dt = day.date()
            try:
                i = self._earlydays.index(dt)
                o, c = self.p.earlydays[i][1:]
            except ValueError:  # not found
                o, c = self.p.open, self.p.close

            closing = datetime.combine(dt, c)
            if tz is not None:
                closing = tz.localize(closing).astimezone(UTC)
                closing = closing.replace(tzinfo=None)

            if day > closing:  # current time over eos
                day += ONEDAY
                continue

            opening = datetime.combine(dt, o)
            if tz is not None:
                opening = tz.localize(opening).astimezone(UTC)
                opening = opening.replace(tzinfo=None)

            return opening, closing


class PandasMarketCalendar(TradingCalendarBase):
    '''
    Wrapper of ``pandas_market_calendars`` for a trading calendar. The package
    ``pandas_market_calendar`` must be installed

    Params:

      - ``calendar`` (default ``None``)

        The param ``calendar`` accepts the following:

        - string: the name of one of the calendars supported, for example
          `NYSE`. The wrapper will attempt to get a calendar instance

        - calendar instance: as returned by ``get_calendar('NYSE')``

      - ``cachesize`` (default ``365``)

        Number of days to cache in advance for lookup

    See also:

      - https://github.com/rsheftel/pandas_market_calendars

      - http://pandas-market-calendars.readthedocs.io/

    '''
    params = (
        ('calendar', None),  # A pandas_market_calendars instance or exch name
        ('cachesize', 365),  # Number of days to cache in advance
    )

    def __init__(self):
        self._calendar = self.p.calendar

        if isinstance(self._calendar, string_types):  # use passed mkt name
            import pandas_market_calendars as mcal
            self._calendar = mcal.get_calendar(self._calendar)

        import pandas as pd  # guaranteed because of pandas_market_calendars
        self.dcache = pd.DatetimeIndex([0.0])
        self.idcache = pd.DataFrame(index=pd.DatetimeIndex([0.0]))
        self.csize = timedelta(days=self.p.cachesize)

    def _nextday(self, day):
        '''
        Returns the next trading day (datetime/date instance) after ``day``
        (datetime/date instance) and the isocalendar components

        The return value is a tuple with 2 components: (nextday, (y, w, d))
        '''
        day += ONEDAY
        while True:
            i = self.dcache.searchsorted(day)
            if i == len(self.dcache):
                # keep a cache of 1 year to speed up searching
                self.dcache = self._calendar.valid_days(day, day + self.csize)
                continue

            d = self.dcache[i].to_pydatetime()
            return d, d.isocalendar()

    def schedule(self, day, tz=None):
        '''
        Returns the opening and closing times for the given ``day``. If the
        method is called, the assumption is that ``day`` is an actual trading
        day

        The return value is a tuple with 2 components: opentime, closetime
        '''
        while True:
            i = self.idcache.index.searchsorted(day.date())
            if i == len(self.idcache):
                # keep a cache of 1 year to speed up searching
                self.idcache = self._calendar.schedule(day, day + self.csize)
                continue

            st = (x.tz_localize(None) for x in self.idcache.iloc[i, 0:2])
            opening, closing = st  # Get utc naive times
            if day > closing:  # passed time is over the sessionend
                day += ONEDAY  # wrap over to next day
                continue

            return opening.to_pydatetime(), closing.to_pydatetime()


================================================
FILE: backtrader/utils/__init__.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict
import sys

from .date import *
from .ordereddefaultdict import *
from .autodict import *


================================================
FILE: backtrader/utils/autodict.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict, defaultdict

from .py3 import values as py3lvalues


def Tree():
    return defaultdict(Tree)


class AutoDictList(dict):
    def __missing__(self, key):
        value = self[key] = list()
        return value


class DotDict(dict):
    # If the attribut is not found in the usual places try the dict itself
    def __getattr__(self, key):
        if key.startswith('__'):
            return super(DotDict, self).__getattr__(key)
        return self[key]


class AutoDict(dict):
    _closed = False

    def _close(self):
        self._closed = True
        for key, val in self.items():
            if isinstance(val, (AutoDict, AutoOrderedDict)):
                val._close()

    def _open(self):
        self._closed = False

    def __missing__(self, key):
        if self._closed:
            raise KeyError

        value = self[key] = AutoDict()
        return value

    def __getattr__(self, key):
        if False and key.startswith('_'):
            raise AttributeError

        return self[key]

    def __setattr__(self, key, value):
        if False and key.startswith('_'):
            self.__dict__[key] = value
            return

        self[key] = value


class AutoOrderedDict(OrderedDict):
    _closed = False

    def _close(self):
        self._closed = True
        for key, val in self.items():
            if isinstance(val, (AutoDict, AutoOrderedDict)):
                val._close()

    def _open(self):
        self._closed = False

    def __missing__(self, key):
        if self._closed:
            raise KeyError

        # value = self[key] = type(self)()
        value = self[key] = AutoOrderedDict()
        return value

    def __getattr__(self, key):
        if key.startswith('_'):
            raise AttributeError

        return self[key]

    def __setattr__(self, key, value):
        if key.startswith('_'):
            self.__dict__[key] = value
            return

        self[key] = value

    # Define math operations
    def __iadd__(self, other):
        if type(self) != type(other):
            return type(other)() + other

        return self + other

    def __isub__(self, other):
        if type(self) != type(other):
            return type(other)() - other

        return self - other

    def __imul__(self, other):
        if type(self) != type(other):
            return type(other)() * other

        return self + other

    def __idiv__(self, other):
        if type(self) != type(other):
            return type(other)() // other

        return self + other

    def __itruediv__(self, other):
        if type(self) != type(other):
            return type(other)() / other

        return self + other

    def lvalues(self):
        return py3lvalues(self)


================================================
FILE: backtrader/utils/date.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


from .dateintern import (num2date, num2dt, date2num, time2num, num2time,
                         UTC, TZLocal, Localizer, tzparse, TIME_MAX, TIME_MIN)

__all__ = ('num2date', 'num2dt', 'date2num', 'time2num', 'num2time',
           'UTC', 'TZLocal', 'Localizer', 'tzparse', 'TIME_MAX', 'TIME_MIN')


================================================
FILE: backtrader/utils/dateintern.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime
import math
import time as _time

from .py3 import string_types


ZERO = datetime.timedelta(0)

STDOFFSET = datetime.timedelta(seconds=-_time.timezone)
if _time.daylight:
    DSTOFFSET = datetime.timedelta(seconds=-_time.altzone)
else:
    DSTOFFSET = STDOFFSET

DSTDIFF = DSTOFFSET - STDOFFSET

# To avoid rounding errors taking dates to next day
TIME_MAX = datetime.time(23, 59, 59, 999990)

# To avoid rounding errors taking dates to next day
TIME_MIN = datetime.time.min


def tzparse(tz):
    # If no object has been provided by the user and a timezone can be
    # found via contractdtails, then try to get it from pytz, which may or
    # may not be available.
    tzstr = isinstance(tz, string_types)
    if tz is None or not tzstr:
        return Localizer(tz)

    try:
        import pytz  # keep the import very local
    except ImportError:
        return Localizer(tz)    # nothing can be done

    tzs = tz
    if tzs == 'CST':  # usual alias
        tzs = 'CST6CDT'

    try:
        tz = pytz.timezone(tzs)
    except pytz.UnknownTimeZoneError:
        return Localizer(tz)    # nothing can be done

    return tz


def Localizer(tz):
    import types

    def localize(self, dt):
        return dt.replace(tzinfo=self)

    if tz is not None and not hasattr(tz, 'localize'):
        # patch the tz instance with a bound method
        tz.localize = types.MethodType(localize, tz)

    return tz


# A UTC class, same as the one in the Python Docs
class _UTC(datetime.tzinfo):
    """UTC"""

    def utcoffset(self, dt):
        return ZERO

    def tzname(self, dt):
        return "UTC"

    def dst(self, dt):
        return ZERO

    def localize(self, dt):
        return dt.replace(tzinfo=self)


class _LocalTimezone(datetime.tzinfo):

    def utcoffset(self, dt):
        if self._isdst(dt):
            return DSTOFFSET
        else:
            return STDOFFSET

    def dst(self, dt):
        if self._isdst(dt):
            return DSTDIFF
        else:
            return ZERO

    def tzname(self, dt):
        return _time.tzname[self._isdst(dt)]

    def _isdst(self, dt):
        tt = (dt.year, dt.month, dt.day,
              dt.hour, dt.minute, dt.second,
              dt.weekday(), 0, 0)
        try:
            stamp = _time.mktime(tt)
        except (ValueError, OverflowError):
            return False  # Too far in the future, not relevant

        tt = _time.localtime(stamp)
        return tt.tm_isdst > 0

    def localize(self, dt):
        return dt.replace(tzinfo=self)


UTC = _UTC()
TZLocal = _LocalTimezone()


HOURS_PER_DAY = 24.0
MINUTES_PER_HOUR = 60.0
SECONDS_PER_MINUTE = 60.0
MUSECONDS_PER_SECOND = 1e6
MINUTES_PER_DAY = MINUTES_PER_HOUR * HOURS_PER_DAY
SECONDS_PER_DAY = SECONDS_PER_MINUTE * MINUTES_PER_DAY
MUSECONDS_PER_DAY = MUSECONDS_PER_SECOND * SECONDS_PER_DAY


def num2date(x, tz=None, naive=True):
    # Same as matplotlib except if tz is None a naive datetime object
    # will be returned.
    """
    *x* is a float value which gives the number of days
    (fraction part represents hours, minutes, seconds) since
    0001-01-01 00:00:00 UTC *plus* *one*.
    The addition of one here is a historical artifact.  Also, note
    that the Gregorian calendar is assumed; this is not universal
    practice.  For details, see the module docstring.
    Return value is a :class:`datetime` instance in timezone *tz* (default to
    rcparams TZ value).
    If *x* is a sequence, a sequence of :class:`datetime` objects will
    be returned.
    """

    ix = int(x)
    dt = datetime.datetime.fromordinal(ix)
    remainder = float(x) - ix
    hour, remainder = divmod(HOURS_PER_DAY * remainder, 1)
    minute, remainder = divmod(MINUTES_PER_HOUR * remainder, 1)
    second, remainder = divmod(SECONDS_PER_MINUTE * remainder, 1)
    microsecond = int(MUSECONDS_PER_SECOND * remainder)
    if microsecond < 10:
        microsecond = 0  # compensate for rounding errors

    if True and tz is not None:
        dt = datetime.datetime(
            dt.year, dt.month, dt.day, int(hour), int(minute), int(second),
            microsecond, tzinfo=UTC)
        dt = dt.astimezone(tz)
        if naive:
            dt = dt.replace(tzinfo=None)
    else:
        # If not tz has been passed return a non-timezoned dt
        dt = datetime.datetime(
            dt.year, dt.month, dt.day, int(hour), int(minute), int(second),
            microsecond)

    if microsecond > 999990:  # compensate for rounding errors
        dt += datetime.timedelta(microseconds=1e6 - microsecond)

    return dt


def num2dt(num, tz=None, naive=True):
    return num2date(num, tz=tz, naive=naive).date()


def num2time(num, tz=None, naive=True):
    return num2date(num, tz=tz, naive=naive).time()


def date2num(dt, tz=None):
    """
    Convert :mod:`datetime` to the Gregorian date as UTC float days,
    preserving hours, minutes, seconds and microseconds.  Return value
    is a :func:`float`.
    """
    if tz is not None:
        dt = tz.localize(dt)

    if hasattr(dt, 'tzinfo') and dt.tzinfo is not None:
        delta = dt.tzinfo.utcoffset(dt)
        if delta is not None:
            dt -= delta

    base = float(dt.toordinal())
    if hasattr(dt, 'hour'):
        # base += (dt.hour / HOURS_PER_DAY +
        #          dt.minute / MINUTES_PER_DAY +
        #          dt.second / SECONDS_PER_DAY +
        #          dt.microsecond / MUSECONDS_PER_DAY
        #         )
        base = math.fsum(
            (base, dt.hour / HOURS_PER_DAY, dt.minute / MINUTES_PER_DAY,
             dt.second / SECONDS_PER_DAY, dt.microsecond / MUSECONDS_PER_DAY))

    return base


def time2num(tm):
    """
    Converts the hour/minute/second/microsecond part of tm (datetime.datetime
    or time) to a num
    """
    num = (tm.hour / HOURS_PER_DAY +
           tm.minute / MINUTES_PER_DAY +
           tm.second / SECONDS_PER_DAY +
           tm.microsecond / MUSECONDS_PER_DAY)

    return num


================================================
FILE: backtrader/utils/flushfile.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
#  Copyright (C) 2015, 2016, 2017 Daniel Rodriguez
#
#  This program is free software: you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU General Public License for more details.
#
#  You should have received a copy of the GNU General Public License
#  along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import sys


class flushfile(object):

    def __init__(self, f):
        self.f = f

    def write(self, x):
        self.f.write(x)
        self.f.flush()

    def flush(self):
        self.f.flush()

if sys.platform == 'win32':
    sys.stdout = flushfile(sys.stdout)
    sys.stderr = flushfile(sys.stderr)


class StdOutDevNull(object):

    def __init__(self):
        self.stdout = sys.stdout
        sys.stdout = self

    def write(self, x):
        pass

    def flush(self):
        pass

    def stop(self):
        sys.stdout = self.stdout


================================================
FILE: backtrader/utils/ordereddefaultdict.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
# From: http://stackoverflow.com/questions/4126348/how-do-i-rewrite-this-function-to-implement-ordereddict/4127426#4127426
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict

from .py3 import iteritems


class OrderedDefaultdict(OrderedDict):
    def __init__(self, *args, **kwargs):
        if not args:
            self.default_factory = None
        else:
            if not (args[0] is None or callable(args[0])):
                raise TypeError('first argument must be callable or None')
            self.default_factory = args[0]
            args = args[1:]
        super(OrderedDefaultdict, self).__init__(*args, **kwargs)

    def __missing__(self, key):
        if self.default_factory is None:
            raise KeyError(key)
        self[key] = default = self.default_factory()
        return default

    def __reduce__(self):  # optional, for pickle support
        args = (self.default_factory,) if self.default_factory else ()
        return self.__class__, args, None, None, iteritems(self)


================================================
FILE: backtrader/utils/py3.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import itertools
import sys

PY2 = sys.version_info.major == 2


if PY2:
    try:
        import _winreg as winreg
    except ImportError:
        winreg = None

    MAXINT = sys.maxint
    MININT = -sys.maxint - 1

    MAXFLOAT = sys.float_info.max
    MINFLOAT = sys.float_info.min

    string_types = str, unicode
    integer_types = int, long

    filter = itertools.ifilter
    map = itertools.imap
    range = xrange
    zip = itertools.izip
    long = long

    cmp = cmp

    bytes = bytes
    bstr = bytes

    from io import StringIO

    from urllib2 import urlopen, ProxyHandler, build_opener, install_opener
    from urllib import quote as urlquote

    def iterkeys(d): return d.iterkeys()

    def itervalues(d): return d.itervalues()

    def iteritems(d): return d.iteritems()

    def keys(d): return d.keys()

    def values(d): return d.values()

    def items(d): return d.items()

    import Queue as queue

else:
    try:
        import winreg
    except ImportError:
        winreg = None

    MAXINT = sys.maxsize
    MININT = -sys.maxsize - 1

    MAXFLOAT = sys.float_info.max
    MINFLOAT = sys.float_info.min

    string_types = str,
    integer_types = int,

    filter = filter
    map = map
    range = range
    zip = zip
    long = int

    def cmp(a, b): return (a > b) - (a < b)

    def bytes(x): return x.encode('utf-8')

    def bstr(x): return str(x)

    from io import StringIO

    from urllib.request import (urlopen, ProxyHandler, build_opener,
                                install_opener)
    from urllib.parse import quote as urlquote

    def iterkeys(d): return iter(d.keys())

    def itervalues(d): return iter(d.values())

    def iteritems(d): return iter(d.items())

    def keys(d): return list(d.keys())

    def values(d): return list(d.values())

    def items(d): return list(d.items())

    import queue as queue


# This is from Armin Ronacher from Flash simplified later by six
def with_metaclass(meta, *bases):
    """Create a base class with a metaclass."""
    # This requires a bit of explanation: the basic idea is to make a dummy
    # metaclass for one level of class instantiation that replaces itself with
    # the actual metaclass.
    class metaclass(meta):

        def __new__(cls, name, this_bases, d):
            return meta(name, bases, d)
    return type.__new__(metaclass, str('temporary_class'), (), {})


================================================
FILE: backtrader/version.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


__version__ = '1.9.78.123'

__btversion__ = tuple(int(x) for x in __version__.split('.'))


================================================
FILE: backtrader/writer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import io
import itertools
import sys

try:  # For new Python versions
    collectionsAbc = collections.abc  # collections.Iterable -> collections.abc.Iterable
except AttributeError:  # For old Python versions
    collectionsAbc = collections  # Используем collections.Iterable

import backtrader as bt
from backtrader.utils.py3 import (map, with_metaclass, string_types,
                                  integer_types)


class WriterBase(with_metaclass(bt.MetaParams, object)):
    pass


class WriterFile(WriterBase):
    '''The system wide writer class.

    It can be parametrized with:

      - ``out`` (default: ``sys.stdout``): output stream to write to

        If a string is passed a filename with the content of the parameter will
        be used.

        If you wish to run with ``sys.stdout`` while doing multiprocess optimization, leave it as ``None``, which will
        automatically initiate ``sys.stdout`` on the child processes.

      - ``close_out``  (default: ``False``)

        If ``out`` is a stream whether it has to be explicitly closed by the
        writer

      - ``csv`` (default: ``False``)

        If a csv stream of the data feeds, strategies, observers and indicators
        has to be written to the stream during execution

        Which objects actually go into the csv stream can be controlled with
        the ``csv`` attribute of each object (defaults to ``True`` for ``data
        feeds`` and ``observers`` / False for ``indicators``)

      - ``csv_filternan`` (default: ``True``) whether ``nan`` values have to be
        purged out of the csv stream (replaced by an empty field)

      - ``csv_counter`` (default: ``True``) if the writer shall keep and print
        out a counter of the lines actually output

      - ``indent`` (default: ``2``) indentation spaces for each level

      - ``separators`` (default: ``['=', '-', '+', '*', '.', '~', '"', '^',
        '#']``)

        Characters used for line separators across section/sub(sub)sections

      - ``seplen`` (default: ``79``)

        total length of a line separator including indentation

      - ``rounding`` (default: ``None``)

        Number of decimal places to round floats down to. With ``None`` no
        rounding is performed

    '''
    params = (
        ('out', None),
        ('close_out', False),

        ('csv', False),
        ('csvsep', ','),
        ('csv_filternan', True),
        ('csv_counter', True),

        ('indent', 2),
        ('separators', ['=', '-', '+', '*', '.', '~', '"', '^', '#']),
        ('seplen', 79),
        ('rounding', None),
    )

    def __init__(self):
        self._len = itertools.count(1)
        self.headers = list()
        self.values = list()

    def _start_output(self):
        # open file if needed
        if not hasattr(self, 'out') or not self.out:
            if self.p.out is None:
                self.out = sys.stdout
                self.close_out = False
            elif isinstance(self.p.out, string_types):
                self.out = open(self.p.out, 'w')
                self.close_out = True
            else:
                self.out = self.p.out
                self.close_out = self.p.close_out

    def start(self):
        self._start_output()

        if self.p.csv:
            self.writelineseparator()
            self.writeiterable(self.headers, counter='Id')

    def stop(self):
        if self.close_out:
            self.out.close()

    def next(self):
        if self.p.csv:
            self.writeiterable(self.values, func=str, counter=next(self._len))
            self.values = list()

    def addheaders(self, headers):
        if self.p.csv:
            self.headers.extend(headers)

    def addvalues(self, values):
        if self.p.csv:
            if self.p.csv_filternan:
                values = map(lambda x: x if x == x else '', values)
            self.values.extend(values)

    def writeiterable(self, iterable, func=None, counter=''):
        if self.p.csv_counter:
            iterable = itertools.chain([counter], iterable)

        if func is not None:
            iterable = map(lambda x: func(x), iterable)

        line = self.p.csvsep.join(iterable)
        self.writeline(line)

    def writeline(self, line):
        self.out.write(line + '\n')

    def writelines(self, lines):
        for l in lines:
            self.out.write(l + '\n')

    def writelineseparator(self, level=0):
        sepnum = level % len(self.p.separators)
        separator = self.p.separators[sepnum]

        line = ' ' * (level * self.p.indent)
        line += separator * (self.p.seplen - (level * self.p.indent))
        self.writeline(line)

    def writedict(self, dct, level=0, recurse=False):
        if not recurse:
            self.writelineseparator(level)

        indent0 = level * self.p.indent
        for key, val in dct.items():
            kline = ' ' * indent0
            if recurse:
                kline += '- '

            kline += str(key) + ':'

            try:
                sclass = issubclass(val, bt.LineSeries)
            except TypeError:
                sclass = False

            if sclass:
                kline += ' ' + val.__name__
                self.writeline(kline)
            elif isinstance(val, string_types):
                kline += ' ' + val
                self.writeline(kline)
            elif isinstance(val, integer_types):
                kline += ' ' + str(val)
                self.writeline(kline)
            elif isinstance(val, float):
                if self.p.rounding is not None:
                    val = round(val, self.p.rounding)
                kline += ' ' + str(val)
                self.writeline(kline)
            elif isinstance(val, dict):
                if recurse:
                    self.writelineseparator(level=level)
                self.writeline(kline)
                self.writedict(val, level=level + 1, recurse=True)
            elif isinstance(val, (list, tuple, collectionsAbc.Iterable)):  # Для разных версий Python будут вызываться разные функции
                line = ', '.join(map(str, val))
                self.writeline(kline + ' ' + line)
            else:
                kline += ' ' + str(val)
                self.writeline(kline)


class WriterStringIO(WriterFile):
    params = (('out', io.StringIO),)

    def __init__(self):
        super(WriterStringIO, self).__init__()

    def _start_output(self):
        super(WriterStringIO, self)._start_output()
        self.out = self.out()

    def stop(self):
        super(WriterStringIO, self).stop()
        # Leave the file positioned at the beginning
        self.out.seek(0)


================================================
FILE: changelog.txt
================================================
1.9.78.123:
  - PR#479 Fix errors for simulated orders
1.9.77.123:
  - PR#472
    - Added posibitity for Black theme for charts
    - Added posibitity to run on matplotlib 3.6+
    - Added posibitity to run on Python 3.9+

1.9.76.123:
  - PR#405 Fix initial Renko bricks
  - Add option to select fixing of initial Renko bricks
  - PR#403 partial order execution iterpending reported incorrectly
  - PR#402 bug fix: #5 fixing writer.py after 1.9.75.123 pull
  - PR#406 trade.py upgraded to be able to be unpickled. (#406)
  - PR#411 [bug fix] frompackages directive functionality seems to be
    broken when using inheritance (#411)
  - Typo corrections PR#409, PR#407

1.9.75.123:
  - Adding extra day before dtcmp calc, as otherwise the extradays
    have no effect (#388)
  - Fixing the issue with TWS API Bust events (err code 10225) (#396)
  - Add support for ASK quotes for CASH assets (#395) plus fixes
  - Remove duplicated note (#386)
  - Fixing time.clock for python>=3.8 (#394)
  - Changed file initiation for WriterFile to make it work under
    multi-process optimization (#397) plus fixes
  - Fixed backend loading if a backend is loaded (Google Collab) and
    backend to use on MacOSX
  - Fix: crumb in feeds.YahooFinanceData (#400)
  - Fix color assignments, ticks line widths and some pep-8 improvements
  - Fix timeframe/compression detection when plotting
  - Fix default value for ticks display format on X-axis
  - Sample with ta-lib SAR test
  - Generic support of multiple "text/*" content types for Yahoo

1.9.74.123:
  - Correct calculation in haDelta indicator
  - Use initial datalabel for non-overlaid volume plot

1.9.73.123:
  - Add utility NonZeroDifference indicator
  - Redefine CrossUp, CrossDown and CrossOver indicators using
    NonZeroDifference to cover the case in which the crossing entities
    converge right before crossing up and down
  - PR #382 (Travis: Python 3.7, 3.8-dev travis), PR #383 PivotPoint doc

1.9.72.122:
  - Cover case in which result in high-level overridden operations have
    multiple lines and wer not be taken into account for minimum period
    calculations
  - Add "Int" variants of percentage based sizers to import
  - Trades observer to show net profit instead of brutto, with parameter
    to control behavior

1.9.71.122:
  - Improve on indicator legend plotting to overcome matplotlib legend
    reordering
  - Added PercenSizerInt and AllSizerInt which truncate the returned size
    to an int, suited better for stocks/futures

1.9.70.122:
  - Use opening price for submission check for Market orders when
    cheat-on-open is active
  - Update pnlcomm on all operations and not just profit/loss locking
  - Correct comment for fillalpha and add baralpha for candlestick opacity
  - Merge PR 378 (doc typo) PR 378 (rollover for live feeds and tz use
    in datetime utilities)
  - Use internal dict for data feed presence test and update trade observer

1.9.69.122:
  - Fix offline Yahoo feed by moving the new adjclose line up to the offline
    feed
  - Adapt the yahoodownload tool to the current status (ex: data not reversed)
  - Redownload all yahoo data feeds

1.9.68.122
  - [PR 376] Fix call to _nextday in TradingCalendar
  - Clean up and rework of Yahoo Data. The data feeds seems to be reliable
    again
  - IBStore Support for IND prices (simplfication of PR 373)

1.9.67.122
  - Fix compression only scenarios when resampling and resampling after
    changes in 1.9.66.122
  - Final correction for rollover fix introduced in 1.9.66.122
  - Cover use case for mininum period calculation when all
    operations/indicators don't use the data feeds directly but lines of it

1.9.66.122
  - Fix regression introduced with 8f537a1c2c271eb5cfc592b373697732597d26d6
    which voids the count of lost trades
  - Allow rollover to distinguish between no values temporarily (with None)
    and no values permanently (with False)
  - Avoid math domain error for negative returns in logarithmic calculations
  - Fix local variable declaration for compound returns
  - Fix typo in date2num tz conversion which shows up in direct usage

1.9.65.122
  - Fix commission info assigment and orderref seeking in OandaStore (PR#367)
  - Add strategy type to OptReturn (PR#364)
  - Fix prepend_constant for OLS_Transformation (PR#368)
  - Fix LogReturnsRolling compression when not specified (PR#369)
  - Have ints instead of bools in some values with 1 Trade in TradeAnalyzer

1.9.64.122
  - Avoid stage2 comparison using [0] in API methods
  - Support plotname, if given, as name of indicator in csv output

1.9.63.122
  - Add optimization callbacks when running with 1 Core
  - Correct sell_bracket by removing old append code
  - Correct typo in store.py
  - Pass period from RateOfChange100 to underlying ROC

1.9.62.122
  - Correct PSAR acceleration capping
  - Enable PandasData line extension without the need to extend datafields

1.9.61.122
  - Add `_skipnan` to plotlines to allow joining two points with a line
  - buy_bracket/sell_bracket allow suppressing stop/limit orders
  - Add stop-loss approaches sample
  - Correct codes for minutes compression

1.9.60.122
  - Remove unused files
  - README update, Docstring corrections, documentation corrections
  - Update travis settings

1.9.58.122
  - Provide default fundmode methods for all brokers
  - Correct order notification if positions exist when starting the broker
    and will be simulated
  - Correct csv values output if object has no length

1.9.57.122
  - PR #326 Fix set_fundmode in bbroker
  - Synchronize fund history mode with master clock
  - Allow relocation of legend in plotting charts
  - Adapt broker observer to fund mode

1.9.56.122
  - Handle volume as string null in YahooFinanceData
  - Corrections/Improvements to order history support
  - Add fund history support
  - Increase plotting margin of trade observers

1.9.55.122
  - Add addorder_history support to replay history of orders
  - Add swapcloses to YahooFinanceXXX family to allow end users to control what
    the adjusted price actually is
  - Some docs and samples updates
  - Change default for _nextforce to False as it should be for most indicators

1.9.54.122
  - Add haDelta indicator
  - Allow indicators to disable runonce
  - Add Renko bricks
  - Rework ix -> iloc pull request and autodetection algorithm in PandasData

1.9.53.121
  - Fix #323 by providing default properties/methods for fundvalue/fundshares
    for all brokers

1.9.52.121
  - Redownload the YahooFinance sample data yhoo-1996-2015
  - Add unstable exception for TALIB SAR
  - Add notes about usage of Hurst exponent and lag_start/lag_end parameters
    to override default lag values
  - Fix #321 by correcting typo in Writer.writelines
  - Add _start/start methods to Observers
  - Add fund tracking mode to the observers
  - Add new observers FundValue/FundShares
  - Adapt observers to fundmode: Value, TimeReturn, LogReturns, DrawDown,
    Benchmark
  - Adapt analyzers to fundmode: DrawDown, Leverage, LogReturnsRolling,
    PeriodStats, LogReturns, Sharpe, TimeReturn, VWR
  - PR #319 for Pandas .ix deprecation (rewritten)

1.9.51.121
  - Fix PSAR calculations for resampled/replayed streams
  - Sample for psar with intraday resampling 5 -> 15 minutes
  - Set the environment of a backfill_from data in master ibdata
  - Add dnames to the strategy documentation
  - Allow plotmaster to point to itself
  - Add plotylimited option to control vertical scaling locking on data plots
  - Add (semi)logarithmic plotlog control to plotinfo
  - Simplify live status detection for IB to allow optimization
  - Keep the observer cycles always synchronized with the strategy cycles
    regardless of running mode
  - Correct arguments for top level cerebro callback for data notifications
  - Add HeikinAshi candles indicator (plotted as lines)
  - Add HeikinAshi as filter to directly modify the data
  - Plot only last close value if lineonclose is plotted and correct high
    printout
  - Add PR #320 with indicators AwesomeOscillator,
    AccelerationDecelerationOscillator, RelativeMomentumIndex
  - Doc corrections and additions, including PR #319
  - PR #315 with rewrite to generalize setting the backend

1.9.50.117
  - Add TrueStrengthIndicator
  - Port YahooDownload tool to v7 API
  - rewrite tool py3 bytes/str compatibility during write
  - Support internal re-fetching of linetokens in csv based datas
  - Support Yahoo skipping of lines with null values
  - New adaptations to Yahoo new format for adjusted prices
  - Update of data samples in Yahoo format
  - Update of documents and samples to make use of YahooFinanceCSVData
    consistent with chosen data sample

1.9.49.116
  - Add support for new Yahoo v7 api
  - Quandl: Allow dataset specification, apikey correction and cosmetics

1.9.48.116
  - Quandl Data Feed Online/Offline (at least for WIKI EOD)
    - Online: bt.feeds.Quandl
    - Offline: bt.feeds.QuandlCSV
  - Add studies category for indicators that draw in the past
    (study events in past price movements)
  - PR #307 Fractal study added to studies/contributions
  - PR #304 Timer corrections for weekdays filter
  - Docs corrections and typos

1.9.47.116
  - Add PR #303 with hook support for btrun
  - Fix regression introduced with trading calendars for replaying
  - Avoid a DivisionByZeroError in SharpeRatio if not enough returns for the
    calculation

1.9.46.116
  - Finish timers implementation and documentation
  - Add timers samples and cheat-on-open sample
  - Add a List class to check for containment with __contains__ rather than
    standard list is or __eq__

1.9.45.116
  - Fix #302 to plot resampled data with non aligned end of sessions
  - PR #297 to save figures to files (refactored to save multiple strategies
    and multiple figures)
  - Ensure a data feed has always a non-empty _name if possible
  - Alias getcash/getvalue to get_cash/get_value in broker subclasses if the
    latter are missing
  - PR #300 Set tools as executables
  - PR #301 Metatrader4 csv format
  - Documentation updates

1.9.44.116
  - Timer calls implementation
  - Broker support for cheat-on-open
  - Add cheat_on_open to cerebro to allow next_open
  - Finish trading calendar resampling for weeks
  - Support Yahoo download over proxies
  - Doc corrections/additions
  - Support quick broker notifications

1.9.43.116
  - Oanda support for bracket orders
  - Oanda support for stop trailing order
  - Filling in plotting support numeric values and control of alpha blending
  - Documentation updates (filling, addobservermulti)
  - Fix wrong calling of sizer with fixed isbuy=True after refactoring for
    mixing of buy/sell and order_target_xxx

1.9.42.116
  - Add tradingcalendar
  - Add tz support for strategies
  - Docs updates
  - Add multi/tradingcalendar samples
  - Add div/floordiv operations to lines
  - Return data references in all cerebro methods adding data stream

1.9.41.116
  - Keep processing orders after create in OandaStore after change to process
    new messages
  - Manage CFDs also as cash data in rqtMktData

1.9.40.116
  - Fix #295 by only managing tf and cp if resample/replay have been specified
  - Correct expire and cancel in OandaStore
  - Correct BollingerBands to use the chosen movav for the StdDev calcs
  - Ensure parameters wit plotinfo and no plotname get a name granted

1.9.39.116
  - Fix #294 which break plotting by plotting with no indicators/observers

1.9.38.116
  - Plotting control options for last value in legend and right hand side
    tag
  - Documentation improvements
  - Support numeric timestamps in CSVGenericData

1.9.37.116
  - Add new samples (OCO, StopTrail/Limit, LRSI, partial-plot, psar,
    future-spot)
  - Add Bracket order support
  - Bracket order for IB and adapted sample
  - Correct cancel order message reception in OandaStore
  - Cosmectic changes to quickstart examples
  - Document bracket, stoptrail/limit, oco, partial-plotting, same axis
    plotting, future-vs-spot

1.9.36.116
  - StopTrail/StopTrailLimit/Oco for Interactive Brokers
  - PR #290 for child OCO orders
  - Oco and other generic parameters passed transparently from any order
    generating method (ex: order_target_size) down to buy and sell
  - Correct pricelimit parameter in ib
  - Use strategy datetime instead of data0 and ensure a complete header in
    Positions analyzer

1.9.35.116
  - Catch limit/stop order creation earlier in Oanda Store
  - StopTrail/StopTrailLimit orders for backtesting

1.9.34.116
  - Docs updates
  - OCO implementation for backtesting

1.9.33.116
  - Make sure sizer is only used if size is not None (default)
  - Doc corrections
  - Improve legend presentation in sameaxis mode

1.9.32.116
  - Added Calmar, TimeDrawDown and PeriodStats analyzers
  - Reach data by names as dict or dot notation
  - Allow one asset to compensate the positions of another
  - Add more python versions to Travis PR #276
  - Support plotting datas on same y-axis
  - Update sample in contrib pair trading PR #273
  - PR #274 number of tranches to FixedSize Sizer and add FixedSizeTarget
  - Close #280 exception when get pyfolio analyzer agaist multiple data
  - Close #277 (inc PR #277) by entering re-calculation of xstart and xend
    plotting indices

1.9.31.116
  - Add Indicator HurstExponent (requires numpy)
  - Allow plotting specific date ranges with start and end named arguments
    to plot
  - Address #269 missing last bar backfill_from
  - Fix typo (#271) in frompackages import for InfluxDB feed
  - Add OLS_Slope_InterceptN, OLS_BetaN, OLS_TransformationN and Coint
  - Ensure broker has prices even if tick_xxx is not defined

1.9.30.111
  - Add LaguerreRSI PR #265
  - Add LaguerreFilter PR #267
  - Doc maintenance (also PR #266)
  - Add ParabolicSAR
  - Add InfluxDB Data feed (PR #257) and Import Tool (#PR268)
  - Add auto-pytz code from IBData to generic feeds to allow passing strings
    Address #262
  - Add support for packages and frompackages
  - Finish import of new sizers
  - Fix #263 - Refresh resample-tickdata to specify timeframe
  - Store module name and not module in talib autogenerated wrapper class
  - pyfolio api change note

1.9.29.108
  - Correct csvgeneric import

1.9.28.108
  - Set eos time from param.sessionend in csv timeframes
  - Improve support for timeframe/compression in btrun
  - Add ApplyN indicator (and base for it and variants BaseApplyN)
  - Add PercentSizer and AllInSizer
  - Add DV2 Indicator
  - Add PercentRank Indicator

1.9.27.105
  - Patch CST timezone name to CST6CDT
  - Support automatic argument wrapping as line objects in CrossOver
  - Initialize attributes before rejection can happen in OandaData
  - Stop considering clones to decide if live feeds have to wait or not to
    avoid cpu hogging
  - Use _mindatas to decide how many from the parent datas to pass if none
    is specified by the user
  - Some doc corrections

1.9.26.105
  - Adapt order_target_value to short cash semantics in broker
  - Several refinements to resampling to deliver synchronized bars on end of
    session
  - Add exceptions and strategy skip exception
  - IBData - Deactivate code for faster downloads during absence of live data
    to avoid breaking reconnection code
  - Allow selective order based skipping of coc

1.9.25.105
  - Close #244 by giving feeds the chance to finish initialization by
    themselves, ensuring proper initialization and allowing early data
    download (merged and refactored PR #245)
  - Add support for live data detection and dynamic queue check
    timeouts to avoid pausing on historical traversal when other feeds
    are live
  - Add PR #242 DrawDown length observer
  - Assimilate PR #240 into cash asset
  - Fixes #239 by providing empty values if the data or indicator has
    not produced a value yet
  - New DrawDown Analyzer and refactoring of DrawDown observer
  - Closes #235 by updating PivotPoint Family to make plotting work under new
    sync scheme and automate self-coupling
  - Some usual documentation updates / typo corrections
  - Minor corrections/improvements
  - Address #243 by sorting (timeframe, compression) data feeds internally to
    avoid forcing users to pass smaller timeframes first
  - Add end-of-session calculation, including adding end-of-session to daily
    data from IB


1.9.24.105
  - Complete TimeFrameAnalyzerBase with a call to _nextstart and children
  - Improve 1st comparison point of benchmark
  - Documentation updates / samples clean-up
  - IBData feed timezone and backfill gap corrections
  - Initial support for CFD products (untested) to request BID and not TRADES
  - Ensure initialization of backfill_from data feeds

1.9.23.105
  - Benchmark observer will observer after the strategy has reached its
    minimum period
  - Refactoring of TimeFrameAnalyzerBase
  - Ensure NoTimeFrame name is always returned rightly
  - Documentation updates
  - btrun will only load data feeds if they can be imported

1.9.22.105
  - Improve unleveraged value by not unleveraging profit and loss
  - Doc edits from PR #223, #224
  - Correct refactoring leftover for backfill_from for IBData and OandaData
  - Extend btfd sample with logs
  - Add ZeroDivisionError to SharpeRatio
  - Add automargin to commission info schemes

1.9.21.105
  - Closes #230 by closing the pool on completion rather than waiting for
    garbage collection
  - Default to show unleveraged value and allow retrieval of leveraged
    value
  - Update btfd sample to updated leveraged value
  - Improve order value reporting with leverage
  - Correct dataseries TimeFrame name presentation in writers
  - Doc updates

1.9.20.105
  - Added pair-trading sample from @remroc: PR #223, #224, #225
  - Some documentation updates
  - Leverage support
  - Closes #227 numfigs type=int in arg parsing
  - Correct no-plotting of datas
  - Correct pandasdata integer addressing issue
  - Correct time comparison when running with runonce=True
  - Update SessionFiller to more stringent standards in modern versions

1.9.19.105
  - Add time comparison for single line operations
  - Correct plotting error calculations with volume and improve data on data
  - Remove cosmetic comma

1.9.18.105
  - PR #221 Correct onda candleFormat parameter
  - Allow data on data plotting and no data plotting
  - Remove double labeling on indicators
  - Analyzer LogReturnsRolling
  - Observer LogReturns
  - Improved order management of input for validity
  - Set default end date for online downloads in Yahoo if not set
  - Gold vs SP500 Sample

1.9.17.105
  - PR #195 make runstrats iterable to allow callbacks
  - Fixes #189 by adding callback during optimization
  - Fixes #205 to avoid errors during unnamed argument usage in strategy
  - Regression correction for no short-cashing

1.9.16.105:
  - PR #212 added Vortex indicator
  - Closed #215 writer opens file in binary mode
  - Closed #210 missing comma in status definitions lists in feed
  - PR #203 python3 compatiblity for ib (long)
  - Added shortcash parameter to broker to control cash increase/decrease

1.9.15.104:
  - PR #202 to fix import in ibdata
  - PR #196, #198 - doc updates
  - PR #199 delegate notifications in Chainer Data Feed
  - PercentChange indicator request from #192
  - %B BollingerBands from #190
  - Check bar time before market type execution #190

1.9.14.102:
  - Pull Request #187 to improve SQN and test
  - Update some samples
  - Refactor new KST - Closes #183
  - Closes #163 adding interest as commission to correct calculate PNL
  - Improve SignalStrategy overriden methods to avoid impacting user subclasses
  - Closes #168 - Fetching open orders
  - #173 short-circuit calculation sqn in case of no trades
  - strategy selection sample

1.9.13.102:
  - Closes #179 Ichimoku indicator
  - Plotting allows now filling areas and showing the indicator name even with
    plotlinelabels active
  - Use _minperiod in linebuffer.qbuffer for maxlen rather than default 1
  - Closes #169 - Correct DaySteps filter
  - Add ROC100 indicator
  - Add KnowSureThing indicator

1.9.12.99:
  - Improve cheat-on-close to provide exact match price even during replay
  - Allow offsetting resampling bar set by timeframe/compression units

1.9.11.99:
  - Separate resampling from replaying for synchronization purposes
  - Modernize sample to better check #169

1.9.10.99
  - Further use cases coverage for new synchronizatio method and
    resample/replay
  - PR #173 - SharpeRatio returns None if it cannot be calculated
  - PR #173 - SQN returns 0 (instead of raising exception) if no trades have
    been made
  - Cover replay case for cheat-on-close
  - Extra analyzers in VWR Sample and modernized PivotPoint sample
  - Reworked of plotting for datas of different length by matching date indexes
  - Removed old mlen accounting for plotting different timeframes
  - #172 cover extra unwinding of linebuffer and add extra size to qbuffer

1.9.9.99
  - Correct RSI_EMA, RSI_SMA subclassing
  - Add cheat-on-close to the broker
  - Correct own operation bug directly on lines (was fine on line
    actions/operations)
  - Add support for __neg__ operator (-) to lines
  - Adresses #170 by forcing a bool as return
  - Extend signal trigger detection to inverse and any values
  - Support for embedding in a line non-line types
  - Closes #171. Make safepow the default
  - Use DataTrades only if several datas are in place

1.9.8.99
  - Workaround IbPy not converting bytes by passing strings in Python3
  - safepow parameter for StandardDeviation

1.9.7.99
  - Closes #156 by adding LinePlotterIndicator
  - Closes #154 by providing hollow candlesticks
  - Ensure unique name for analyzers to get all printed out by writers
  - Fix installation instructions for plotting

1.9.6.99:
  - Allow defining the datetime format string for the x axis and data points.
    Closes #148
  - Rework plotting to account for datas with different lengths and work with
    auto locators/formatters
  - Improve signals to handle multiple datas and wrap LineIterators (Indicators)
  - Use excess returns for the standard deviation in Sharpe Ratio

1.9.5.99
  - Improve data synchronization behavior
  - Make new DataTrades synchronize to strategy
  - Correct TimeFrameAnalyzerBase to synchronize with strategy

1.9.4.99
  - Add DataTrades Observer to plot the trades of multiple datas independently
  - Make this observer the default in cerebro (old behavior via oldtrades=True)

1.9.3.99:
  - copyas method in data feeds to let a clone data be seen differently in the
    broker
  - Count trades on strategy basis and not main data basis
  - Add RQAlpha link
  - Fixes #153 by closing file descriptors after preloading

1.9.2.99:
  - Correct plotting for multi strategy approach
  - Make Crossover plot like any other indicator

1.9.1.99:
  - Automatic inline plotting if running inside a notebook
  - Correct new plotting code for Python 3

1.8.14.99:
  - README Updates
  - Improvements to generic Store management and VChartfile
  - Addresses time underflow/overflow in #143

1.8.13.99:
  - Set annualization factor for days to 252 in SharpeRatio to match the value
    most used in the literature
  - Add Returns analyzer
  - Closes #137 Added VWR (VariabilityWeightedReturn) analyzer
  - Fixes #141. optreturn must only be applied when optimizing
  - Correct getting default value for ptfimeframe in pyfolio2 sample. Fixes #142

1.8.12.99:
  - Rework SharpeRatio, add annualization and add SharpeRatio_A with default
    annualization
  - Improve data / results message passing during optimization
  - Some documentation improvements/corrections

1.8.11.99:
  - Add rounding control to YahooFinanceCSVData and update docs. Closes #138
  - Sharpe Ratio external testing sample. Addresses #137
  - order_target_api, sample and cos. Closes #134

1.8.10.99:
  - Added Any, All, Reduce, function replacements
  - Added AnyN, AllN, ReduceN indicators
  - Aliased Highest -> MaxN, Lowest -> MinN
  - Added VChartfile Store and Feed improving over existing feed
    implementing the store pattern and fetching the basepath location
    from the registry if possible
  - Some docs improvements/corrections
  - Add a generic Store to let stores subclass
  - Add a Chainer, RollOver data feed and sample
  - Add shortcuts for some subpackages: indicators -> ind, observers -> obs
    strategies -> strats, commissions -> comms
  - Add framework for analyzer testing and tests for 2 analyzers: SQN,
    TimeReturn

1.8.9.96:
  - Finalize Oanda integration
  - Allow simulated orders (meant to fetch initial positions from live brokers)

1.8.8.96:
  - Add support for credit interest rate (#125), with update of docs, sample,
    support in broker and btrun
  - urlencode tickers for yahoo downloads (feed and tool)

1.8.7.96:
  - Added indicators (3): Hull MA, ZeroLag Indicator, Dickson MA
  - Added control of object cache to cerebro (default deactivated)
  - Refactored the support for "next" only indicators
  - Typos and Docs updates (also from pull-requests)

1.8.6.93:
  - Refactor bt.signals to bt.signal (keeping compatibility for prev uses)
  - Improve writer to write non-string lists and fetch headers after anylzers
  - Add base bt.Signal strategy class for easier subclassing
  - Update btrun to support signals/slippage/flushing, update feeds and minors
  - Correct writer collections of analyzers parameters
  - Correct reverse overloaded operations in stage2
  - Some docs/docstrings corrections

1.8.5.93:
  - Slippage implementation in broker, documented and with sample
  - Refactoring/File Reordering of broker and volume fillers
  - Documentation updates/corrections/cleanup
  - Merge #120

1.8.4.93:
  - Filters documentation and reference
  - Add pinkfish ohl + o filter
  - Some filter refactoring
  - README Updates

1.8.3.93:
  - Refactoring of pyfolio and children analyzers following #116 to try to
    support future intraday support in *pyfolio*
  - Allow adding a specific signal strategy subclass to cerebro
  - Refactor SignalStrategy to ease up subclassing

1.8.2.93:
  - #106 Oanda Data Feed
  - Adding _dataname to always be able to identify a data by symbol, including
    *resampled/replayed*
  - Address #115 resampling of same ibdata which was losing timezone information
    in cloning
  - Display raw datetime information in ibtest. For same data resample topic
    in #115

1.8.1.93:
  - Addresses #115 - improvement in ib multiple data handling
  - Improvements in vcdata multiple data handling

1.8.0.93:
  - Added signals api
  - Correct value calculation for shorted stocks
  - Add a symbolic margin to commissioninfo if not specified
  - Remove line amonst marker in Trades observers

1.7.2.93:
  - Added getsize to CommissionInfo API to allow, for example, a sizer to
    calculate the size of a trade using percentages
  - Add __btversion__ which is a tuple of ints for easy version comparison
  - Add macd-settings sample

1.7.1.93:
  - Pinkfish challange sample
  - Add stash to feeds to allow filtered output to be resent to filters
  - Restore deprecated setsizing method in FixedSize sizer for old quickstart
    guide
  - Rework quickstart tutorial and samples to use addsizer and deprecate
    setsizing
  - Allow BuySell observer to plot above / below high / low for clarity,
    especially when plotting ohlc/candles bars
  - Add support for observer orders during replay
  - Improve Close order execution logic
  - Fix microsecond precision errors in end of session calculations in order
    and feed
  - Docstrings cosmetic changes

1.7.0.93:
  - Changes to support separate auto-documentation for a branch of an object
    hierarchy
  - ta-lib integration: Closes #53
  - ta-lib documentation
  - Improve sizers internal interface by having a strategy attribute, which
    can be used before resorting to the broker
  - observer and benchmarking documentation update

1.6.4.93:
  - Reworked and published sizers interface (addresses #104) with changes
    in cerebro and Strategy
  - Observers documentation
  - Refactor timereturn analyzer logic for better readability

1.6.3.93:
  - Correct lastvalue update in TimeReturn
  - Closes #111 by annualizing the returns if the rate is not downgraded

1.6.2.93:
  - Closes #89 by adding benchmarking to TimeReturn and new observers
    TimeReturn/Benchmark (sample included)
  - Analyzers can be embedded in observers to share functionality
  - Added TimeFrame.NoTimeFrame
  - ibpy imported in readthedocs for IBStore/IBBroker/IBData doc generation


1.6.1.93:
  - Closes #108 - Plotting documentation
  - Some updates to analyzer docs
  - Further refactoring/improvements/corrections to the analyzers

1.6.0.93:
  - Pyfolio integration
  - Refactoring/reorganization of analyzers

1.5.3.93:
  - Correct filler implementation in the broker to consider order side for the
    value returned from a filler
  - Extend volumefilling sample to cover sell and repetition scenarios

1.5.2.93
  - Added support for volume filling strategies in the broker
  - Added 3 volume fillers: FixedSize, FixedBarPerc, BarPointPerc
  - Added broker and fillers to the docs
  - Added TimeReturn to the Analyzers reference
  - Added DaySteps filter and sample to downsample a day bar in open + rest

1.5.1.93
  - UltimateOscillator added. Requested with ticket #103
  - VisualChart Live Data Feed/Trading integration
  - Add YahooFinanceData (online) to formats supported by btrun

1.5.0.92
  - InteractiveBroker Live Data Feed/Broker
  - Rework of many internals to support live feeds
  - DateTime Management (timezones) support added
  - Extra Rework of Resampler/Replayer to support live feeds and earliest
    possible bar delivery

1.3.3.92
  - Fixes #99 by conditionally importing ib modules

1.3.2.92
  - safediv added to Stochastic from Pull Request #97
  - Initial integration fo ib feed/broker. Can operate but it is not yet fully
    ocmplete
  - Comprehensive ib testing sample
  - Added "store" and "data" notifications to cerebro and strategy for the
    integration of live feeds
  - Internal datetime clarifications
  - Fixes #94 removing leftover decode('utf-8') after removing 'b' from 'rb'
    when opening csv files
  - Fix bug in strategy.close and add plimit support to it
  - Some documentation updates

1.3.1.92
  - Memory saving schemes (exactbars parameter to cerebro) full implemented
  - Add mixing-timeframes to the docs
  - Add memory-savings to the docs
  - Cosmetic corrections to data-resampling sample

1.3.0.92
  - Address #84 #86 by implemting a LinesCoupler lines object which fills longer
    timeframe lines with shorter timeframes
  - Add sample for LinesCoupler
  - New links for readthedocs io domain
  - Detection Improvement for objects supported by writers

1.2.9.92
  - Add 3 new indicators (from #81): PivotPoint, FibonacciPivotPoint,
    DemarkPivotPoint
  - Add new function CmpEx
  - Change plotinit to the intial stages of plotting
  - Add plotinfo information to any LineSeries objects
  - Implement LineActions Cache
  - Implement Indicator Cache
  - Cover resampling across midnight border #81
  - Correct error in docs (concepts) #82
  - Addresses #82 by only advancing indicators in runonce mode if the clock
    has overtaken it
  - Addresses #82 by having LinesOperations define and internal clock which
    may not be the owner

1.2.8.88
  - WeekDaysFiller sample for #76
  - Implement new memory saving schemes. Addresses #74
  - Additions/Refactoring to the intenal api offered to filters and internal
    utils objects and removal of leftover prints
  - Refactoring of replay/resample filters
  - Some testing refactoring
  - Support for cross-plotting across datas of different timeframes
  - PivotPoint sample for #81

1.2.7.88
  - Correct resampling/replaying behavior for calculating the delivery with
    configured compression fator for timeframes ticks and days or larger.
    Addresses #47, #77, #78
  - Adapt resample/replay tests to improved resampling/replaying code which
    delivers the bar 1 tick earlier
  - Sample for bidask data to OHLC. Closes #78

1.2.6.88
  - Fix broken data-multitimeframe sample
  - Address #72 by improving _getsizing method which not also takes data as
    parameter
  - Fixes #77 by correctly calculating when the current session ends for the
    last bar (when next session data is already in)

1.2.5.88
  - Fixes #67 by having the Buy Sell Observer be displayed for all datas in the
    system
  - Improve support of live data feed resampling/replaying. Addresses comments
    in #69 and #44
  - Support safe division by zero RSI calculations. Closes #68
  - Fixes #71. Single Lines (LineOperations in this case) don't get added to
    the indicator mix for writers

1.2.4.88
  - Improved detection in cerebro.resampledata of existing datas before cloning
  - Added detection in cerebro.replaydata of existing datas before cloning

1.2.3.88:
  - Add samples following 'Close' order corrections/improvements for
    testing. Addresses #62
  - Improve 'Close' execution support and correct conflicting behavior
    with method checksubmit. Addresses #62
  - Correct method close of strategy by using kwargs which was not
    taking into account the existence of a plimit parameter in methods
    buy/sell and would pass the execution type as plimit
  - PandasData extension sample and data supporting discussion in
    ticket #65
  - If datas have been passed to cerebro, ensure cerebro has a
    strategy to run against (which can get indicators, analyzers,
    observers and other through the appropriate interface)
  - Addresses #64 by auto-cloning datas in resampledata if the data
    was already in the system
  - Return a list in case cerebro.run is not run due to missing datas

1.2.2.88:
  - Update of bidask sample
  - SessionFiller correction to avoid moving the evaluated bar too early into
    the stack and avoid the previous session to fill into new session

1.2.1.88:
  - Remove old DataReplayer/DataResampler and cerebro resampledata_old and
    replaydata_old which were using them
  - Adapt docs and test to remove DataReplayer/DataResampler and document the
    newer interfaces
  - Add ``linesoverride`` parameter to enable redefining the lines of an object
    at any stage. Allows removing OHLC default support
  - Generalized GenericCSV to use the defined line aliases
  - Generalized tick assignment to use the defined line aliases

1.1.27.88
  - Closes #61 by checking datamaster against None to prevent operator
    overloading to evaluate the object as False because line 0, contains a value
    of 0 at index 0

1.1.26.88
  - Closes #49 by setting the matplotlib backend to "tkagg" to avoid using other
    non-tested backends
  - io.StringIO instead of internally imported one from py3
  - CSVDataBase unicode/bytes unification and also for YahooFinanceData feed
  - yahoodownlaod tool bytes/unicode clarification and urlopen bug correction

1.1.25.88
  - Fixes #55 and improves management of CSV subclasses opening a file from
    other sources
  - Sample which tests yahoo online downloading

1.1.24.88
  - Fixes #51 - a trade may reopen a position but close a trade if overlapping
    (different tradeid) trades are active
  - Address Pull Request #52 by adding Py 2/3 MAXINT compatible "constant" which
    is imported into TradeAnalyzer and used instead of sys.maxint
  - Fixes #50 by correcting open/popen typo in StopLimit order

1.1.23.88
  - Fixes #46 by adding a default of total.total = 0 to indicate that no trades
    were executed and therefore no statistics
  - Fixes #46 by adding a default of total.total = 0 to indicate that no trades
    were executed and therefore no statistics
  - CalendarDays filter implementation and added sample
  - Removed gitter from README

1.1.22.88
  - Filters moved to submodule filters
  - Full docstring update for CommInfoBase
  - Small improvements to internal AutoDict/AutoOrdereDict
  - Implementation of Trade history log (#40)
  - Added __bool__, __nonzero__ to Position for position testing
  - Orders support miscellaneous information from end-users (#42)
  - Trades get unique identifier and datetime for opening/closing time (#42, #43)
  - Corrected typo in iteritems (#38)

1.1.21.88
  - Addition of keys, values, items to py2/3 compatibility layer
  - Add getdatanames to strategy
  - Strategy.buy/sell/close take data or name as key for operation
  - Close #37 pannotated typo in "atclose" order type in broker
  - Close #35 adding getpositionbyname, getpositionsbyname, getpositions and the
    associated properties without "get"

1.1.20.88
  - #33 correction of typo added during correction of #33
  - Added getdatabyname and string_types check in buy/sell/close to retrieve
    datas in Strategy

1.1.19.88
  - Fixes #33 by properly adjusting the cash for existing open futures (added
    long comment to explain the logic)
  - TimeReturn analyzer added. Can calculate returns for all timeframes
  - SharpeRatio updated to use TimeReturn including automatic adjustment of
    the (annual) riskfreerate for timeframes days, weeks, months. It can still
    use the legacy AnnualReturn analyzer
  - CommInfoBase added as root of all commission schemes to make commission
    schemes more flexible by not tying margin to commission type deduction
  - Added 4 CommInfoBase derived classes with standard commission schemes
  - Extended broker.setcommission call with parameters to work with the new
    CommInfoBase
  - Implemented the legacy CommissionInfo as a subclass of CommInfoBase, fully
    retaining the existing behavior
  - Some in-code documentation updates

1.1.18.88
  - Fixes #31 - Packaging issue under Python 3.x introduced in 1.1.17.88

1.1.17.88
  - #29 extend commissions to support additional schemes
  - #27 convert iterable in pandas datasource to list before checking len
  - Packaging reordering to suppor introduction of dependencies

1.1.16.88
  - Correct missing super in start some Data Feeds. Closes #27

1.1.15.88
  - DivByZero function included to perform division without triggering
    exceptions
  - SessionFiller completed as data filter
  - Corrections to WriterStringIO
  - Final renaming of data filter API
  - Reset of operators to stage1 to be able to run over same data again withoug
    re-init
  - Update data-replay/resample samples to use new filter API
  - Rework of testcaes to use new filter API and run all combinations of
    runonce/preload

1.1.14.88
  - Comminfo passed down to trades for multitrade profit and loss calculation
    for issue #226
  - Addition of filters/processors (naming not final) to data sources
  - (Re)Implementation of Resampling/Replaying as Processors - Old
    Implementation still available
  - Changed X axis formatting for Weeks/Months/Years
  - DataFilter/DataFiller implemented as DataSources and also as
    Filters/Processors
  - DataFilter/DataFiller sample
  - Time management improvement to address precision issues when isolating time
    from coded datetime with new functions in LineBuffer

1.1.13.88
  - Further refactoring of resampling (keeping previous parameter names
    compatible) killing corner case for last bar still having the sub-bar
    timestamp - Close #25
  - Added sessionstart parameter to DataBase to complement sessionend
  - Some module import refactoring to refer to main module
  - Added DataFilter class
  - Close #24 by enabling writer to handle Analyzer dictionaries which carry
    non-string as keys
  - Correct/enhance some of the samples

1.1.12.88:
  - Refactoring of minute/seconds/microseconds bar compression scheme to allow
    time adjusted bars
  - Added tick_last to datas - alias of tick_close
  - resampledata and replaydata methods added to cerebro
  - Added tick_last to datas - alias of tick_close
  - Added multitrade support and sample
  - Added helper time2num and num2time to complement date2num and num2date
  - RelativeVolumeByBar Sample
  - Corrected fromdate being set at the end of session
  - Refactor some data feeds to use iterators and discard itertools.count
  - Add dm/tm methods to LineBuffer to get numeric parts (int/fraction) of
    numeric datetime representation
  - Added sample datas with volume
  - Corrected _orlogic for "Or" function and bool'ized And and Or
  - Refactored starting points in running strategies
  - Added queue/Queue to py3 compatibility
  - Further rework of minute (and sub-minute) Data Resampling/Replaying
  - Added tia/visualize-wealth/QSTK/TradingWithPython to README
  - Added tick_last to set of tick variables (open/high/low/close)
  - Added resampledata and replaydata to cerebro to avoid having to instantiate
    DataReplayer/DataResampler

1.1.11.88:
  - Added TimeFrame for Ticks, MicroSeconds and Seconds
  - Plot support for new Ticks, MicroSeconds and Seconds TimeFrames
  - Removed flushing of sys.stdout on Win32 platforms to avoid interactions with
    ipython (fixes #20)
  - Reworked Resampling for TimeFrame Minutes (closes #19) and added Resampling
    for Seconds, MicroSeconds and TickData
  - Sample of plot-on-same-axis added
  - Added pypy/pypy3 tests to Travis and added to to documentation
  - Added sample which resamples tickdata

1.1.10.88:
  - Small documentation updates
  - Indicators can be plotted on/over other indicators
  - Sample of plot-on-same-axis added

1.1.9.88:
  - Doc/Readme additions for 3.5
  - Removed dangling py3 in writer from six transition
  - Added writer testcase

1.1.8.88:
  - Added Python 3.5 to Travis CI
  - Removed 2.6 and added 3.5 from setup.py
  - Refactored bt-run.py to internal function and added btrun executable to
    installation
  - Added cerebro parameters and writers support to btrun
  - Fixed duplicate writers next call in "next" mode
  - Improved LineSeries objects name printing in WriterFile and changed "csv"
    to False
  - Correct sign of "closed" if a long/short position if a position is reduced:
    closes #18
  - Removed six dependency through small internal Py2/Py3 module and updated
    docs and setup.py
  - Removed nose-exclude from test requirements
  - Implement current order status in broker
  - 0 can be passed as number of maxcpus for optimization (same as None)
  - SQN and TradeAnalyzer documented

1.1.7.88:
  - Drop Python 2.6 support (also removing internal OrderedDict) after adding
    nexbars which needs collections.deque with maxlen (>= 2.7)
  - First Writer Implemenatation for CSV Output
  - TradeAnalyzer implementation
  - SystemQualityNumber (SQN) implementation

1.1.6.88:
  - Broker reworked to check margin/cost limits on order submission/execution
  - Broker fix to avoid having the wrong sign on short "Trades"
  - Rework Trades commission deduction
  - Additions to Position, Order to support broker new checks
  - Add missing analyzers loop call to "_next"
  - Observers loop handled in Strategy now (only object holding them)
  - Observers reachable in strategy via new alias "observers" (in addition to
    "stats")
  - Cosmetic changes to analyer pprint
  - Correction to Position.__len__ to work with negative sizes (short positions)
  - Crossover defaults to true for plotting just like any other indicator
  - "Exactbars" mode added which limits the amounts of bars to those needed by
    each indicator. Disables runonce, preloading and plotting. It uses a
    ringbuffer method
  - Documentation/Samples directory (and hence doc fixes) rework
  - Documentationn rework for direct execution of scripts against sample datas
    #16
  - Multiple Data Strategy added as Sample
  - Automatic import of flushfile
  - Added LineForward as complement to LineDelay
  - Correct double call to Analyzer._next
  - Cover case in which a line from a data is directly assigned, avoiding the
    binding to kick-in too early
  - Correction in Accum indicator (typo line -> lines) and super addition to
    WilliamsAD

1.1.5.88:
  - Added reversion to stage1 operator behavior when the strategy backtesting is
    over
  - Refactoring of minimum period calculation in LineIterator
  - Refactoring of strategy minimum period calculation to allow indicator
    injection
  - Cerebro support for addition of indictors to inject into strategies
  - bt-run rework to support multiple strategies (o none), observers, indicators
    and analyzers with individual kwargs per entry
  - bt-run rework of plotting to single argument with kwargs
  - Corrected ill behavior when separatin multiple line objects passed as single
    argument to an indicator which lead to multi-owner management for the 2nd
    line and posterior
  - Analyzer defines stubs for print pprint and get_analysis
  - Addion of LineDelay opposite: LineForward to support positive (look/write
    backwards) arguments in the line(period) notation
  - Added datas and data alias in Analyzers

1.1.4.88:
  - Thorough documentation rework
  - Corner case for multiple timeframe datas when the larger timeframe doesn't
    contribute to minimum period with indicators
  - Correction of data resampling which affected same timeframe (which is valid
    because compression can be different)
  - Built-In Strategies auto-documentation added
  - Blaze data support and Pandas Datafeed with only numeric indices support
  - bt-run accepts kwargs per loaded object (strategy, observer, analyzer) and
    can load the default Strategy object if none is specified

1.1.3.88:
  - Automation bt-run.py script added
  - Pandas Dataframe support
  - Improvements to OrderedDict imports for Python 2.6 compatibility
  - Default reference price for orders is bar closing price if not set like in
    Market orders
  - Analyzers added: non-lines objects offering in-run/post-run statistics
  - Analyzers added: SharpeRatio and AnnualReturn
  - Improved Observers which now support (like Indicators/Strategies)
    prenext/nextstart
  - Simplified cerebro return values for run: single list if not optimizing and
    list of lists if optimizing
  - Order Execution Sample script added
  - SMA_CrosssOver Strategy included in submodule backtrader.strategies

1.1.2.88:
  - Generic Data Feed Development Documentation
  - Observers Documentation
  - Support for last tick values in data feeds (data.tick_xxx with xxx being,
    open, high, low, close, volume, openinterest. Unless a real-time feed is
    used or a replay is done, the values will be those of the regular bar
  - Replayer support filling up the last used tick_xxx values
  - Orders have new attribute with the next end of session after the order
  - Broker uses the tick prices for order execution supporting with it the same
    logic in replay and regular mode
  - Fixes #11: On Market Close Orders new logic including end of session check
    support
  - VisualChart binary file direct support

1.1.1.88:
  - Quickstart documentation update to use Trades
  - Issue #3 setcash before the run corrected
  - Addition of GenericCSVData (following #6)
  - Documentation on DataFeeds
  - SierraChartCSVData added
  - Documentation on DataFeed development
  - #8 to address valid for order limited in time
  - Improved to order creation (via buy/sell) from the strategy
  - Corrected plimit typo in order execution
  - Corrected redefinition of enum for order execution types Stop/StopLimit
  - Order cloning and unique id per order to allow same order notified
    twice in same interval with different events
  - Added missing notification for order.accept
  - Broker refactoring on BuyOrder detection and price naming for limit
  - Documentation on order creation and execution

1.1.0.88:
  - Added Gitter stuff to README.rst
  - Documentation updates
  - Moved operations calculations to strategy with extra P&L information from
    the broker (with an updated CommissionInfo profitandloss method) and
    simplified Operations observer along the way
  - Removal of the analyzer paradigm, refactoring the introduction of observers,
    which now can be done through Cerebro to make them really usable as
    statistics generators. Default observers get added from Cerebro unless
    explicitly indicatoed not to do so
  - notify renamed to notify_order (patch support included)
  - notify_operation renamed to notify_trade
  - All "Operation" references changed to "Trade"
  - Minor version bump due to the "Operation" and "Observer" refactoring
  - Addition of a drawdown observer

1.0.10.88:
  - Further corrections for more "unpickable" cases

1.0.9.88:
  - Multicore support for optimization
  - Corrected quickstart samples to change Yahoo "reversed" to "reverse" and
    change the value from True to False
  - Changes needed to support pickling: adding dynamic classes to modules,
    assigning unique names to dynamic classes, not keeping instance methods in
    variables and removing lambda definitions for functions defined at module
    level
  - Changes to testcommon and test_strategy_optimized to avoid nosetests errors
    with multiprocessing

1.0.8.88:
  - Correction to yahoodownload from landscape.io check when exception is raised
  - alias plotname assignment done before the alias variable is overwritten to
    avoid plotname from just being the 2nd letter of the alias
  - Added incminperiod to increase minperiods with non further calculations
  - Notation relaxation: indicators may not indicate on which data they operate
    and the data of the owner will be used automatically
  - zlema now calles super on init
  - Cosmetic corrections to moving averages to not use aliased names
  - Corner minimum period calculation case covered in
    ExponentialSmoothingDynamic in which a passed line as a parameter is not being
    considered in any calculation because there is no line assignment in the
    indicator
  - Corrections to FeedBase to avoid passing "dataname" twice
  - Added a crosshairs cursor to the charts using modified MultiCursor from
    matplotlib (submitted to Matplotlib)
  - Moving Average Refactoring into separated files
  - Indicators (88): Trix/TrixSignal (w doc/test)

1.0.7.86
  - Import Indicator and functions into the indicators package to enable
    indicators to do a "from ." import
  - Improvements to class alias definition
  - Indicators (74): basicops receives Average, WeightedAverage, ExpSmoothing,
    ExpSmoothingDynamic
  - Indicator (75): ZLEMA with tests and documentation
  - Refactored MovingAverage placeholder and MovingAverages to use basic
    operations and autoregister in the placeholder
  - Refactored DEMA, TEMA, ZLEMA to subclasses of MovingAverageBase for
    autoregistrattion
  - Refactored envelope to automatically create envelopes from all
    auto-registered MovingAverages
  - Refactored oscillator to automatically create envelopes from all
    auto-registered MovingAverages
  - Indicators (77): ZLEMAEnvelope, ZLEMAOscillator added
  - Indicators (79): TrueLow, TrueHigh added and TrueRange refactored to use them
  - Indicators (81): UpDayBool, DownDayBool as specialized versions of UpDay and
    DownDay
  - Refactored all indicators to do a relative "." import for Indicator and
    functions
  - Removed docstring code from LineSeries to move it to a sphinx extension
  - Added sphinx etension to automate documentation of indicators
  - Removed previous indicator documentation and added "indautoref" own
    directive for autodocumentation
  - indicators autoregister with Indicator (for things like autodocumentation)
  - Avoid automatically generated Envelope/Oscillator from MovingAverages to
    register to avoid "EnvelopeOscillator" subclasses
  - Indicators receiving only 1 data get the 2nd and later lines as extras (use
    case: a crossover uses line 0 and 1 automatically)
  - Indicators (85): PriceOscillator, PercentagePriceOscillator,
    PercentagePriceOscillatorShort, PrettyGoodOscillator added
  - Indicators (86) - Williams Accumulation/Distribution (WilliamsAD) added

1.0.6.70
  - Correction of bug which prevented lines in different indicators to have the
    same name and different index at the same hierarchy level
  - Added AroonUpDown, AroonOscillator, AroonUp, AroonDown,
    AroonUpDownOscillator (with tests and docs)
  - Added basic indicators FindFirstIndex, FindFirstIndexHighest,
    FindFirstIndexLowest (with test and docs)
  - Added basic indicators FindLastIndex, FindLastIndexHighest,
    FindLastIndexLowest (with test and docs)
  - Documented OperationN (so anyone can subclass it if wished)
  - Removed old MaxN and MinN (same as Highest and Lowest)
  - Made RSI_SMA the class and RSI_Cutler the alias
  - Added support in plot and lineiterator to put plot specific code (like
    dynamically setting plothlines) in a separate method to fully separate
    indicator logic from any plotting logic
  - Fully specified Python versions supported in setup.py and some PEP8 changes
  - Changed test case generation string printing to simplify operations (Python
    3.2 doesn't support 'u')
  - Existing indicators updated to use new plot/indicator code logic separation
  - Improvements to envelope object hierarchy with method to prepare periods
  - Changed (previously unused) behavior of assignment to lines[x],
    allowing establishing line bindings without knowing the alias
  - Subclass OperationN from new PeriodN to allow for subclasses of
    basic PeriodN with no need to define "func"
  - LineSeries objects "lines" can be mixed with objects holding "lines"
    attributes
  - MetaParams objects can be mixed with other objects containing "params"
  - MetaLineSeries support for alias definition and autodocumentation of alias,
    lines, parameters, plotinfo and plotlines
  - Correction to AutoInfoClass._getdefaults to correctly return a list under
    Py3
  - Refactored Moving Averages to be "formulated" objects rather than next/once
    based to allow for easy mixin/subclassing
  - Refactored and simplified envelope indicators
  - Refactored indicators to use alias and semi-autodocumentation facilities
    from LineSeries
  - Indicators (60): DEMA, TEMA (with tests and docs)
  - Indicators (62): DEMAEnvelope, TEMAEnvelope (with tests and docs)
  - Indicators (70): Oscillator, SMAOsc, EMAOsc, SMMAOsc, WMAOsc, DEMAOsc and
    TEMAOsc (with testcases and docs) added (MixIn also documented)
  - Testcase for Envelope added
  - Plot bug correccted which could prevent indicators (on same plot as data) on
    indicators from being plotted
  - Plot support for plotlines properties to be specified as lines

1.0.5.47
  - CCI Plotting labels improved
  - WilliamsR plotname/plotlines names improved
  - Stochastic plotlines names improved
  - Momentum plotting labels improved
  - DirectionalMovement plotting labels improved
  - XXXDeviations plotting labels improved
  - Changes (__hash__ in lineroot and list(xxx.values) when plotting) for Python
    3.4 compatibility
  - test_strategy_optimized import xrange from six for Python 3 and travis.yml
    updated to runn with Python 3.4 too
  - OrderedDict recipe added for Python 2.6 compatibility
  - Continuous integration check under Travis added for 2.6/3.2/3.3
  - Updated Readme and docs about Python compatibility

1.0.4.47
  - Tests for strategy optimized/not optimized added
  - Cosmetic change to "triggered" parameter initialization in StopLimitOrders
  - Test added for "Operation"
  - Test for "Position"
  - All indicators changed to used absolute imports for clarity and possible
    independence
  - Added indicator MeanDeviation (and doc)
  - Added indicator CommodityChannelIndex (CCI) (docs and test)
  - Reordered StdDeviation/MeanDeviation into own module and doc sub-section
  - Plot support for lines having a name different than the class alias (ex:
    plusDI can be plotted as +DI)
  - Update docs badge link to project, add direct link to indicators in docs and
    clarify installation from sources with header
  - Refactoring of UpDays/DownDays to UpDay/DownDay for RSI
  - DirectionalMove Indicators (+tests/docs): DI, +DI, -DI, ADX, ADXR, DMI, DM

1.0.3.36
  - Wikipedia link for DetrendedPriceOscillator
  - Renaming of Stochastic and Williams lines to include "perc" (originally %)
  - Removal of specific plotnames in MovingAverages
  - Williams renamed to WilliamsR for accuracy and line renamed to percR
  - Stochastic lines renamed to percK and percD from kperc and dperc for
    accuracy
  - StochasticFull added (3 lines)
  - CrossOver, CrossUp, CrossDown indicators and documentation
  - Correct broker usage in "close" operation
  - Operations observer plotting style changed to "full"
  - BuySell observer plotting style changed to full and buy color changed to
    lime for visibility
  - Broker correction of initial commission assigment. Introduced error when
    adding support for optimization
  - Added indicators: Envelope, SMAEnvelope, EMAEnvelope, SMMAEnvelope,
    WMAEnvelope, KAMAEnvelope (tests and docs included)
  - Corrected label plotting when a LineSeries object is passed as label
  - Documentation and test for CommissionInfo

1.0.2.26
  - Correction to minperiod calculation to correctly calculate and take into
    account indicator on indicator/single lines minperiods together with
    multi-timeframe datas
  - Extra plotting defaults to lineiterator to simplify plotting code
  - Added plotforce to force plotting of an indicator which relies on
    non-plotted/plottable data/clock sources
  - Plotting support for indicator on indicator respecting above/below order
  - Support plotting indicators which don't have a data/indicator clock by
    looking up the chain
  - Add badges' alternative test and add a badge for the documentation
  - KAMA sets plotname to override inherited one from SimpleMovingAverage
  - Williams %R indicator and test
  - Momentum, RateOfChange, MomentumOscillator and tests

1.0.1.22
  - Reordering and addition of sample datas
  - Addition of samples limited to 2014 and 2006
  - Independent Yahoo Online Download Tool
  - TrueRange formula improvement
  - Changed LineSeries "array" access to property
  - data_0 references changed to more generic data
  - Added AdaptiveMovingAverage
  - AdaptiveMovingAverage added to the docs
  - YahooCSV "reversed" parameter changed to reverse (and inverted default to
    False
  - Changes to make online downloads Py3 compatible
  - Multi-Timeframe datas which are exhausted will return empty bars
  - Improvements in VChartCSVData for name and timeframe recognition
  - Added own simple csv format for sample
  - Reordering/Addition of data samples
  - Addition of nosetest testcases covering indicators, data multi timeframe
    and resampling
  - Travis-ci integration
  - Extra minperiod check in LineIterator postinit hook to account for
    indicators with calculations in __init__ not applied directly to line
    assignments

1.0.0.21
  - First tagged and documented release


================================================
FILE: contrib/datas/daily-KO.csv
================================================
Date,Open,High,Low,Close,Volume,Adj Close
1997-01-02,52.5,52.5,51.125,51.875,7161800,16.206907
1997-01-03,52.25,53.375,52.25,53.125,5312000,16.597435
1997-01-06,53.125,53.625,52.25,52.625,6259600,16.441224
1997-01-07,52.625,54.375,51.875,54.375,7325400,16.987963
1997-01-08,54.375,54.5,53.125,53.375,5712000,16.675541
1997-01-09,53.625,54.375,53.625,53.875,5715000,16.831752
1997-01-10,53.875,54.125,52.625,54.125,6061600,16.909857
1997-01-13,54.125,54.5,53.625,54.0,4327400,16.870804
1997-01-14,54.5,55.75,54.5,55.5,7006000,17.339438
1997-01-15,55.5,57.5,55.0,57.0,9699000,17.808071
1997-01-16,57.0,57.875,56.625,57.625,6928200,18.003335
1997-01-17,57.625,59.125,57.5,58.75,11371200,18.35481
1997-01-20,58.75,59.875,58.75,58.75,7465600,18.35481
1997-01-21,58.75,60.25,58.25,59.625,10445800,18.62818
1997-01-22,59.625,59.75,58.875,59.375,6367200,18.550074
1997-01-23,59.375,59.375,57.375,57.5,6414200,17.964283
1997-01-24,57.5,57.75,56.125,57.125,10216000,17.847124
1997-01-27,56.875,56.875,56.0,56.375,6329200,17.612807
1997-01-28,56.375,57.125,55.0,55.5,8533400,17.339438
1997-01-29,55.625,56.5,55.625,56.5,7654800,17.65186
1997-01-30,56.625,57.5,56.625,57.375,5516800,17.92523
1997-01-31,57.375,58.5,57.125,57.875,8654800,18.081441
1997-02-03,57.875,59.5,57.75,59.5,7693400,18.589127
1997-02-04,59.5,59.625,58.75,59.375,7997800,18.550074
1997-02-05,59.375,59.875,57.875,58.25,7809800,18.198599
1997-02-06,58.25,58.5,57.625,57.75,6090800,18.042388
1997-02-07,57.75,58.375,57.0,58.25,6966000,18.198599
1997-02-10,58.25,59.625,58.25,58.25,4787000,18.198599
1997-02-11,58.25,59.25,58.25,59.25,4324600,18.511022
1997-02-12,59.25,60.25,59.25,60.25,7335800,18.823444
1997-02-13,60.25,61.0,60.0,61.0,7387800,19.057761
1997-02-14,61.0,61.0,60.25,60.625,5933000,18.940602
1997-02-18,60.625,61.5,60.5,61.5,5406800,19.213972
1997-02-19,61.5,62.25,61.25,62.0,5995200,19.370183
1997-02-20,61.875,61.875,61.125,61.25,5168600,19.135866
1997-02-21,61.25,62.25,61.125,62.0,8153200,19.370183
1997-02-24,62.0,63.0,61.5,62.875,6032000,19.643552
1997-02-25,62.875,63.25,62.125,62.625,5326600,19.565447
1997-02-26,62.5,62.5,60.5,61.0,7813600,19.057761
1997-02-27,61.25,62.125,61.25,61.625,6025400,19.253025
1997-02-28,61.625,61.75,60.625,61.0,5767400,19.057761
1997-03-03,60.625,60.625,60.0,60.375,5929600,18.862497
1997-03-04,60.375,60.875,59.25,59.25,7598400,18.511022
1997-03-05,59.25,60.375,59.0,60.25,7617000,18.823444
1997-03-06,60.625,61.375,60.625,60.875,10409400,19.018708
1997-03-07,60.875,61.125,60.5,60.5,4057000,18.901549
1997-03-10,60.5,61.25,60.375,61.125,6053600,19.096813
1997-03-11,61.375,62.25,61.375,62.0,6334000,19.370183
1997-03-12,61.875,61.875,60.75,61.0,5602800,19.100891
1997-03-13,60.5,60.5,59.75,59.875,8282200,18.748621
1997-03-14,59.875,60.125,59.25,59.5,6156600,18.631197
1997-03-17,59.5,60.25,58.75,60.25,5342800,18.866044
1997-03-18,60.25,60.625,59.875,60.375,5711800,18.905185
1997-03-19,60.375,60.5,59.125,59.625,6087200,18.670338
1997-03-20,59.625,59.75,58.625,59.0,4601200,18.474633
1997-03-21,59.25,60.25,59.25,60.0,9848000,18.787762
1997-03-24,60.0,60.125,58.875,59.75,6487000,18.70948
1997-03-25,59.75,60.375,59.5,59.5,6652000,18.631197
1997-03-26,59.375,59.375,58.125,58.625,7335200,18.357209
1997-03-27,58.625,59.0,56.625,57.375,9268200,17.965797
1997-03-31,56.875,56.875,55.25,55.75,13222800,17.456962
1997-04-01,55.75,56.625,55.125,56.125,10285200,17.574386
1997-04-02,56.125,56.75,55.5,55.75,5577000,17.456962
1997-04-03,55.75,55.875,55.125,55.375,6560000,17.339539
1997-04-04,55.375,57.375,55.125,57.375,6555400,17.965797
1997-04-07,57.375,57.625,56.375,56.375,4746800,17.652668
1997-04-08,56.375,57.0,55.625,56.75,4562400,17.770091
1997-04-09,56.75,57.625,56.5,57.625,4871200,18.04408
1997-04-10,57.625,57.75,57.0,57.0,3512200,17.848374
1997-04-11,56.5,56.5,52.75,53.75,9281800,16.830703
1997-04-14,54.25,55.875,54.25,55.625,9076800,17.417821
1997-04-15,56.5,58.25,56.5,58.0,9081200,18.161503
1997-04-16,58.0,59.0,57.75,58.75,7066000,18.39635
1997-04-17,58.75,59.375,58.375,58.5,6547600,18.318068
1997-04-18,58.5,59.875,58.5,59.625,7851400,18.670338
1997-04-21,59.625,60.0,58.5,58.625,6825800,18.357209
1997-04-22,59.0,61.875,59.0,61.875,10975200,19.374879
1997-04-23,61.875,61.875,59.875,60.25,7897400,18.866044
1997-04-24,60.25,61.0,59.75,60.0,4965000,18.787762
1997-04-25,60.0,60.125,59.0,59.125,3983000,18.513774
1997-04-28,59.125,61.125,58.875,61.125,4662200,19.140032
1997-04-29,61.5,62.75,61.5,62.625,8004600,19.609727
1997-04-30,62.625,63.75,62.25,63.625,8171000,19.922856
1997-05-01,63.125,63.125,62.125,62.125,6145400,19.453162
1997-05-02,62.375,64.25,62.375,64.0,5663200,20.040279
1997-05-05,64.0,66.0,64.0,66.0,7260200,20.666538
1997-05-06,66.0,67.125,65.625,66.5,10744400,20.823103
1997-05-07,66.5,66.5,65.25,65.375,6473600,20.470832
1997-05-08,65.375,66.125,64.625,64.625,8315800,20.235985
1997-05-09,64.625,65.625,64.25,65.375,6832400,20.470832
1997-05-12,65.375,66.75,65.375,66.5,5201600,20.823103
1997-05-13,66.5,66.75,65.625,66.5,5670800,20.823103
1997-05-14,66.75,67.5,66.75,67.0,5574600,20.979667
1997-05-15,67.0,68.0,66.5,67.875,4740400,21.253656
1997-05-16,67.875,68.375,66.75,66.875,9446000,20.940526
1997-05-19,67.25,68.375,67.25,68.0,5010000,21.292797
1997-05-20,68.0,68.5,67.5,68.375,5029600,21.41022
1997-05-21,68.375,68.75,67.125,67.375,6042600,21.097091
1997-05-22,67.375,67.625,66.375,66.5,4778200,20.823103
1997-05-23,66.875,68.375,66.875,68.125,3512600,21.331938
1997-05-27,68.125,69.0,66.875,68.5,6125800,21.449362
1997-05-28,68.25,68.25,67.0,67.25,4731400,21.05795
1997-05-29,67.25,67.5,66.875,67.5,3060200,21.136232
1997-05-30,67.5,68.625,67.0,68.5,4255600,21.449362
1997-06-02,68.375,68.375,67.5,67.625,3519200,21.175373
1997-06-03,67.625,68.375,67.125,67.875,4326200,21.253656
1997-06-04,67.875,67.875,66.625,66.625,5249800,20.862244
1997-06-05,66.625,67.125,66.125,66.5,5899200,20.823103
1997-06-06,66.625,68.0,66.625,67.75,4925600,21.214515
1997-06-09,67.875,68.5,67.875,68.5,4292200,21.449362
1997-06-10,68.5,69.25,68.125,68.375,5444600,21.41022
1997-06-11,68.375,69.0,68.125,68.375,4033200,21.454148
1997-06-12,69.25,70.0,69.25,70.0,6430400,21.964027
1997-06-13,70.375,72.125,70.375,71.875,8388800,22.552349
1997-06-16,71.875,72.625,71.625,71.625,5651000,22.473906
1997-06-17,71.625,71.875,70.75,71.625,5209400,22.473906
1997-06-18,71.625,72.25,71.25,71.375,5276800,22.395463
1997-06-19,71.375,72.0,70.875,71.5,6765000,22.434685
1997-06-20,71.5,71.75,71.125,71.375,10990600,22.395463
1997-06-23,71.25,71.25,69.625,69.75,4148600,21.885584
1997-06-24,69.75,70.5,69.25,70.3125,6552200,22.062081
1997-06-25,70.3125,70.9375,68.625,69.4375,5855200,21.78753
1997-06-26,69.4375,70.25,69.3125,69.875,4747200,21.924806
1997-06-27,69.9375,71.1875,69.9375,71.0,5457400,22.277799
1997-06-30,71.0,71.0625,67.078102,68.0,8405600,21.336483
1997-07-01,68.0,69.5,67.875,68.625,11291400,21.532591
1997-07-02,68.625,70.4375,68.125,70.4375,7417800,22.101302
1997-07-03,70.625,71.5,70.625,70.75,4004000,22.199356
1997-07-07,70.75,71.4375,69.5625,69.875,6065200,21.924806
1997-07-08,69.875,70.5625,69.25,70.5625,5503200,22.140524
1997-07-09,70.5625,70.75,69.0625,69.375,6557600,21.76792
1997-07-10,69.375,70.375,68.9375,69.625,5044800,21.846363
1997-07-11,69.625,70.0625,69.5625,69.8125,3087400,21.905195
1997-07-14,69.8125,70.125,69.125,69.75,3563400,21.885584
1997-07-15,69.75,70.1875,69.25,70.125,5041400,22.003248
1997-07-16,70.125,71.5,70.0625,70.875,5546200,22.238577
1997-07-17,70.875,71.9375,69.0625,69.875,7063600,21.924806
1997-07-18,69.8125,69.8125,69.0625,69.25,9139600,21.728698
1997-07-21,68.875,68.875,67.75,68.3125,6144800,21.434537
1997-07-22,68.8125,70.25,68.8125,70.125,8252800,22.003248
1997-07-23,70.125,70.75,69.0,69.0625,6741600,21.669866
1997-07-24,69.0625,70.4375,68.4375,70.1875,6158800,22.022859
1997-07-25,70.1875,70.9375,69.875,70.125,5221000,22.003248
1997-07-28,70.125,70.4375,69.375,69.6875,3888000,21.865973
1997-07-29,69.6875,70.0,68.75,69.6875,5037800,21.865973
1997-07-30,69.6875,70.1875,69.3125,69.875,4879000,21.924806
1997-07-31,69.875,69.9375,68.875,69.125,6088000,21.689477
1997-08-01,69.125,70.0,68.25,68.625,7182200,21.532591
1997-08-04,68.625,69.25,68.125,68.9375,4070000,21.630644
1997-08-05,68.8125,68.8125,68.0,68.0,4023600,21.336483
1997-08-06,68.0,68.625,67.4375,68.125,7832200,21.375705
1997-08-07,67.9375,67.9375,66.5625,66.5625,7551600,20.885436
1997-08-08,65.75,65.75,62.6875,62.6875,18877800,19.669571
1997-08-11,62.6875,63.5,59.625,61.75,25320000,19.37541
1997-08-12,61.75,62.25,60.625,60.9375,14184800,19.12047
1997-08-13,60.9375,62.1875,59.875,60.4375,14515800,18.963584
1997-08-14,60.4375,61.0625,59.5,60.0625,10822200,18.84592
1997-08-15,59.9375,59.9375,58.0625,58.75,12587600,18.434094
1997-08-18,58.75,60.375,58.0625,60.375,12737600,18.943973
1997-08-19,60.375,60.9375,60.375,60.8125,10347800,19.081248
1997-08-20,60.8125,61.8125,60.5,61.5,9331400,19.296967
1997-08-21,61.5,61.625,59.9375,60.5625,8738400,19.002805
1997-08-22,60.5625,60.6875,58.875,60.6875,7904800,19.042027
1997-08-25,60.6875,61.25,59.4375,59.6875,5655800,18.728255
1997-08-26,59.6875,60.0,59.0,59.0,6479800,18.512537
1997-08-27,59.0,59.0,57.1875,58.625,10290200,18.394873
1997-08-28,58.625,58.8125,57.125,58.25,9693800,18.277208
1997-08-29,58.25,58.25,57.25,57.3125,9787600,17.983047
1997-09-02,57.3125,59.9375,57.0,59.875,9126200,18.787087
1997-09-03,59.875,60.3125,59.0,59.0,7742000,18.512537
1997-09-04,59.0,59.75,58.3125,59.625,7006200,18.708644
1997-09-05,59.625,60.625,59.625,59.875,7411800,18.787087
1997-09-08,59.875,60.625,59.125,59.125,5261200,18.551759
1997-09-09,59.125,59.3125,58.3125,58.75,8264600,18.434094
1997-09-10,58.75,59.1875,57.5625,57.625,6071800,18.081101
1997-09-11,57.5,57.5,55.375,56.125,15022400,17.653333
1997-09-12,56.125,57.25,55.0625,57.0625,13883800,17.948211
1997-09-15,57.0625,58.0625,57.0625,57.5625,7217600,18.105479
1997-09-16,57.9375,60.125,57.9375,59.25,9876400,18.636258
1997-09-17,59.25,59.9375,58.8125,59.0625,6530000,18.577283
1997-09-18,59.0625,59.3125,58.5,58.8125,7354800,18.498649
1997-09-19,58.8125,59.1875,58.125,59.1875,10150800,18.6166
1997-09-22,59.625,60.1875,59.625,59.8437,5835000,18.822998
1997-09-23,59.8437,60.1875,59.375,59.75,4942000,18.793526
1997-09-24,59.75,61.125,59.75,60.625,9592800,19.068745
1997-09-25,60.625,62.0625,60.4375,61.25,10278200,19.26533
1997-09-26,61.4375,61.9375,61.4375,61.9375,5492200,19.481574
1997-09-29,62.3125,63.125,62.3125,62.5625,8656800,19.678159
1997-09-30,62.5,62.5,60.875,61.0,6843200,19.186696
1997-10-01,61.0,61.9375,61.0,61.9375,6044800,19.481574
1997-10-02,61.9375,62.875,61.75,62.875,6401600,19.776451
1997-10-03,62.875,63.6875,61.125,62.375,8069800,19.619183
1997-10-06,62.75,63.3125,62.75,62.875,4511000,19.776451
1997-10-07,63.0,64.25,63.0,63.8125,6927400,20.071329
1997-10-08,63.8125,64.125,62.5,62.75,6040800,19.737134
1997-10-09,62.25,62.25,61.5625,61.8125,5424000,19.442257
1997-10-10,61.8125,61.875,60.875,61.6875,3591200,19.40294
1997-10-13,61.625,61.625,61.1875,61.3125,3216400,19.284989
1997-10-14,61.3125,62.1875,60.375,60.75,6600200,19.108062
1997-10-15,60.5625,60.5625,59.625,59.8125,6319200,18.813185
1997-10-16,59.8125,60.9375,58.5625,58.9375,7278600,18.537966
1997-10-17,58.9375,59.125,57.0625,58.5,11165600,18.400356
1997-10-20,58.5,59.125,57.5,58.8125,8186800,18.498649
1997-10-21,58.8125,60.125,58.6875,60.0,6119400,18.87216
1997-10-22,60.0,60.1875,58.875,59.3125,4598200,18.655917
1997-10-23,58.375,58.375,56.8125,57.6875,13684000,18.144796
1997-10-24,57.6875,59.1875,55.125,55.5,15190400,17.456748
1997-10-27,55.5,56.875,53.125,53.5625,16333400,16.847335
1997-10-28,53.5625,57.9375,50.0,57.75,25395200,18.164454
1997-10-29,57.75,58.9375,56.4375,57.125,14566400,17.967869
1997-10-30,57.125,58.625,56.0,56.0,9341400,17.614016
1997-10-31,56.3125,57.625,56.3125,56.625,8183600,17.810601
1997-11-03,57.0,58.4375,57.0,58.25,6505000,18.321722
1997-11-04,58.1875,58.1875,57.1875,58.0625,6270600,18.262747
1997-11-05,58.0625,58.6875,57.5,57.625,5635600,18.125137
1997-11-06,57.625,58.3125,57.0625,57.875,6092000,18.203771
1997-11-07,57.4375,57.4375,55.9375,57.0,7584800,17.928552
1997-11-10,57.0,57.4375,55.625,55.75,6303800,17.535382
1997-11-11,56.0,56.8125,56.0,56.5625,4647200,17.790943
1997-11-12,56.5625,57.625,56.0625,56.4375,7542400,17.751626
1997-11-13,56.75,57.625,56.75,57.4375,7904800,18.066162
1997-11-14,57.4375,57.8125,56.5,57.5625,6647400,18.105479
1997-11-17,58.25,60.125,58.25,59.625,8549800,18.754209
1997-11-18,59.625,60.5625,59.25,59.75,7615600,18.793526
1997-11-19,59.75,62.125,59.5,62.125,10506400,19.540549
1997-11-20,62.625,63.8125,62.625,63.5,10096600,19.973036
1997-11-21,63.5,63.75,62.4375,63.75,9488000,20.05167
1997-11-24,63.5625,63.5625,62.5625,62.5625,6105200,19.678159
1997-11-25,62.6875,64.3125,62.6875,64.125,7393200,20.169621
1997-11-26,64.0625,64.0625,62.375,62.375,6400400,19.66211
1997-11-28,62.4375,63.0,62.4375,62.5,1953200,19.701513
1997-12-01,62.5625,64.75,62.5625,64.5625,7679400,20.351662
1997-12-02,64.9375,66.1875,64.9375,65.875,11096000,20.765394
1997-12-03,65.875,66.125,64.8125,65.8125,6606400,20.745693
1997-12-04,65.8125,66.0,64.5,64.8125,6271800,20.430468
1997-12-05,64.8125,66.5,64.75,66.0625,5987400,20.824499
1997-12-08,65.75,65.75,63.0,63.5625,10053200,20.036438
1997-12-09,63.5625,63.9375,62.875,63.625,6445200,20.05614
1997-12-10,63.625,64.125,62.9375,63.875,6047600,20.134946
1997-12-11,63.875,64.125,63.1875,63.625,6752200,20.05614
1997-12-12,63.875,65.3125,63.875,64.9375,6554600,20.469872
1997-12-15,65.0,66.3125,65.0,65.875,7177200,20.765394
1997-12-16,65.875,66.1875,65.0625,65.6875,4456200,20.70629
1997-12-17,65.6875,66.3125,65.375,65.875,4877400,20.765394
1997-12-18,65.875,66.375,64.1875,64.25,7065800,20.253155
1997-12-19,64.25,65.8125,62.25,65.4375,15696800,20.627484
1997-12-22,65.4375,66.6875,65.125,66.0625,7435400,20.824499
1997-12-23,66.0625,66.0625,64.8125,65.0,4260800,20.489573
1997-12-24,65.0,65.125,64.375,64.625,2728200,20.371364
1997-12-26,64.625,65.3125,64.375,64.375,1067400,20.292558
1997-12-29,65.3125,66.375,65.3125,66.3125,3854800,20.903305
1997-12-30,66.5625,67.1875,66.5625,67.0625,4494400,21.139723
1997-12-31,66.9375,66.9375,66.1875,66.6875,3640600,21.021514
1998-01-02,66.6875,67.0,65.9375,66.9375,5443200,21.10032
1998-01-05,66.875,66.875,65.25,66.4375,7691600,20.942708
1998-01-06,66.4375,66.625,65.8125,66.125,5448200,20.8442
1998-01-07,66.125,66.1875,65.125,66.1875,5357200,20.863902
1998-01-08,66.1875,67.0,65.75,66.625,6323800,21.001812
1998-01-09,66.625,66.6875,64.0625,64.125,8747200,20.213752
1998-01-12,64.125,66.1875,62.25,66.0625,8895200,20.824499
1998-01-13,66.0625,66.1875,64.625,65.375,6400000,20.607782
1998-01-14,65.25,65.25,64.25,64.625,5673200,20.371364
1998-01-15,64.4375,64.4375,63.5625,63.75,4166800,20.095543
1998-01-16,64.3125,65.1875,64.3125,65.0,8217000,20.489573
1998-01-20,65.0625,65.9375,65.0625,65.9375,4942000,20.785096
1998-01-21,65.9375,65.9375,65.0,65.5,4477400,20.647185
1998-01-22,65.5,66.0,64.6875,65.4375,5446400,20.627484
1998-01-23,65.4375,65.625,63.625,63.8125,5033800,20.115244
1998-01-26,63.8125,64.3125,62.4375,63.0625,5051800,19.878826
1998-01-27,63.0625,64.125,62.8125,63.25,5669200,19.937931
1998-01-28,63.25,64.75,62.375,64.125,10064600,20.213752
1998-01-29,64.1875,65.5625,64.1875,64.75,6681000,20.410767
1998-01-30,64.75,65.0,64.5,64.75,4994800,20.410767
1998-02-02,65.25,67.125,65.25,66.6875,10112200,21.021514
1998-02-03,66.6875,67.625,66.5,67.5,7294600,21.277634
1998-02-04,67.4375,67.4375,66.75,67.0625,5980800,21.139723
1998-02-05,67.0625,67.625,66.8125,67.5625,7490600,21.297335
1998-02-06,67.5625,68.0625,67.1875,67.1875,4298600,21.179126
1998-02-09,67.1875,67.4375,67.0,67.375,3552000,21.238231
1998-02-10,67.375,68.375,67.375,67.9375,5323400,21.415544
1998-02-11,67.9375,68.875,67.8125,68.875,4338000,21.711067
1998-02-12,68.875,69.5625,67.9375,69.25,5871600,21.829276
1998-02-13,69.1875,69.1875,68.25,68.5625,4396200,21.612559
1998-02-17,68.5625,69.25,68.1875,68.5,4680800,21.592858
1998-02-18,68.5,69.8125,68.125,69.125,4588800,21.789873
1998-02-19,69.0,69.0,68.4375,68.75,3483200,21.671664
1998-02-20,68.75,69.6875,68.5,69.5625,5884200,21.927783
1998-02-23,69.5625,69.75,68.625,69.1875,4430200,21.809574
1998-02-24,69.0625,69.0625,68.0625,68.3125,4511200,21.533753
1998-02-25,68.4375,69.0625,68.4375,68.625,3796400,21.632261
1998-02-26,68.625,69.25,68.375,68.875,2958600,21.711067
1998-02-27,68.875,68.9375,68.3125,68.625,3544200,21.632261
1998-03-02,68.625,68.6875,67.9375,68.0,5421800,21.435246
1998-03-03,68.0,68.25,67.5625,68.1875,3897800,21.49435
1998-03-04,68.1875,68.75,67.625,68.75,5010400,21.671664
1998-03-05,68.75,69.8125,68.375,69.3125,7645400,21.848977
1998-03-06,69.5625,70.75,69.5625,70.5,9568800,22.223306
1998-03-09,70.5,73.1875,70.5,72.5625,9636000,22.873456
1998-03-10,72.5625,72.9375,72.5625,72.625,5093400,22.893158
1998-03-11,72.5,72.5,71.875,72.4375,4748400,22.881311
1998-03-12,72.4375,72.4375,71.625,71.625,4878600,22.624662
1998-03-13,71.625,72.0,70.375,70.5625,4027200,22.289043
1998-03-16,70.8125,72.1875,70.8125,71.75,4828000,22.664146
1998-03-17,71.75,72.4375,71.375,72.4375,4683000,22.881311
1998-03-18,72.4375,75.0,72.25,74.8125,8973400,23.631518
1998-03-19,74.8125,75.25,74.25,74.9375,5914400,23.671003
1998-03-20,74.9375,77.5,74.9375,77.5,10567600,24.480437
1998-03-23,76.625,76.625,75.25,75.875,7623200,23.967137
1998-03-24,75.875,76.75,75.4375,76.0,5543200,24.006622
1998-03-25,76.0,76.375,75.4375,76.1875,5285200,24.065849
1998-03-26,76.1875,76.9375,75.3125,76.4375,4528000,24.144818
1998-03-27,76.4375,76.5,74.875,75.0625,5057400,23.710488
1998-03-30,76.3125,79.3125,76.3125,78.375,10732000,24.756829
1998-03-31,78.375,78.6875,77.125,77.4375,6896200,24.460694
1998-04-01,77.4375,80.6875,77.4375,80.625,8855000,25.467551
1998-04-02,80.625,81.375,79.8125,81.125,6690000,25.625489
1998-04-03,81.125,81.125,79.8125,80.4375,6801200,25.408324
1998-04-06,80.4375,81.3125,79.25,79.25,7718800,25.033221
1998-04-07,79.125,79.125,77.9375,79.0,6177200,24.954252
1998-04-08,79.0,79.3125,77.25,78.0625,5503200,24.658117
1998-04-09,78.0625,78.875,77.8125,78.5625,3912000,24.816056
1998-04-13,78.3125,78.3125,76.875,77.75,5482600,24.559406
1998-04-14,77.75,78.0,76.8125,77.8125,4980600,24.579148
1998-04-15,77.8125,78.0,75.625,76.6875,6630600,24.223787
1998-04-16,76.6875,76.9375,73.875,74.8125,7165000,23.631518
1998-04-17,74.8125,77.0,73.6875,76.8125,8330600,24.263272
1998-04-20,76.8125,77.125,75.0,75.3125,6923400,23.789457
1998-04-21,75.3125,75.75,74.1875,74.6875,5545200,23.592034
1998-04-22,74.6875,76.5,74.0,75.75,6809400,23.927653
1998-04-23,75.625,75.625,74.4375,74.75,5773000,23.611776
1998-04-24,74.75,74.9375,73.0,73.625,4950200,23.256415
1998-04-27,73.4375,73.4375,71.875,72.375,6224600,22.861569
1998-04-28,72.4375,74.0625,72.4375,72.4375,5871600,22.881311
1998-04-29,72.625,74.375,72.625,73.6875,5490400,23.276157
1998-04-30,74.1875,76.0625,74.1875,75.875,5719200,23.967137
1998-05-01,75.875,76.3125,75.0625,76.1875,4886600,24.065849
1998-05-04,76.1875,76.8125,76.125,76.25,4467400,24.085591
1998-05-05,76.25,76.25,74.8125,76.0625,3733400,24.026364
1998-05-06,76.0625,76.625,75.625,76.0,4714200,24.006622
1998-05-07,76.0,76.25,75.375,75.6875,5112200,23.90791
1998-05-08,75.75,77.5,75.75,76.4375,5470000,24.144818
1998-05-11,76.875,77.9375,76.875,77.4375,5788400,24.460694
1998-05-12,77.4375,77.875,76.75,77.75,4218400,24.559406
1998-05-13,77.75,78.1875,77.0,77.25,4853800,24.401468
1998-05-14,77.25,78.4375,76.875,77.75,4586200,24.559406
1998-05-15,77.75,78.25,76.75,76.875,5917800,24.283014
1998-05-18,76.875,77.75,76.875,77.375,4417000,24.440952
1998-05-19,77.625,78.375,77.625,78.0625,4154400,24.658117
1998-05-20,78.0625,79.875,77.8125,79.8125,5574400,25.210901
1998-05-21,79.8125,80.9375,79.25,79.4375,6537400,25.092448
1998-05-22,79.4375,79.75,78.3125,78.8125,3618600,24.895025
1998-05-26,78.8125,79.0,77.375,77.375,4409400,24.440952
1998-05-27,77.375,78.25,76.5,78.25,6239800,24.717344
1998-05-28,78.25,79.1875,77.75,78.9375,4448800,24.934509
1998-05-29,78.9375,79.6875,78.375,78.375,5249000,24.756829
1998-06-01,78.4375,79.75,78.4375,79.5,4791800,25.11219


================================================
FILE: contrib/datas/daily-PEP.csv
================================================
Date,Open,High,Low,Close,Volume,Adj Close
1997-01-02,30.0,30.0,29.25,29.5,4237700,17.596354
1997-01-03,29.75,30.0,29.625,29.75,2795500,17.745475
1997-01-06,29.875,30.0,28.875,29.25,5361400,17.447232
1997-01-07,29.125,29.5,28.875,29.5,4311600,17.596354
1997-01-08,29.625,29.875,29.375,29.625,3346800,17.670915
1997-01-09,29.625,29.75,29.125,29.25,4212900,17.447232
1997-01-10,28.875,29.25,28.625,29.125,5606200,17.372671
1997-01-13,29.125,29.75,29.0,29.5,3874100,17.596354
1997-01-14,29.5,29.875,29.5,29.75,3561100,17.745475
1997-01-15,29.625,29.75,29.5,29.625,3739000,17.670915
1997-01-16,29.625,30.25,29.5,30.25,5840300,18.043719
1997-01-17,30.25,30.625,30.125,30.5,6340000,18.19284
1997-01-20,30.75,32.0,30.625,31.25,6673200,18.640205
1997-01-21,31.125,32.0,31.125,31.75,5959200,18.938449
1997-01-22,31.625,32.0,31.5,32.0,4539600,19.08757
1997-01-23,35.0,35.875,33.875,35.5,30608400,21.175273
1997-01-24,35.0,35.25,33.75,33.875,15491900,20.205983
1997-01-27,34.125,34.5,34.0,34.125,8446400,20.355104
1997-01-28,34.75,35.0,34.0,34.5,8297100,20.578787
1997-01-29,34.5,34.75,34.125,34.25,5630400,20.429665
1997-01-30,34.5,34.625,34.125,34.5,4385800,20.578787
1997-01-31,34.5,34.875,34.375,34.875,5257700,20.802469
1997-02-03,34.625,34.75,33.875,34.125,4219500,20.355104
1997-02-04,33.375,33.625,32.625,32.875,10917200,19.609496
1997-02-05,32.625,32.875,31.5,31.875,11708400,19.013009
1997-02-06,31.875,32.5,31.75,32.375,6027300,19.311253
1997-02-07,32.375,32.75,31.75,32.25,4643200,19.236692
1997-02-10,32.125,32.75,32.125,32.25,3711900,19.236692
1997-02-11,32.5,32.625,32.25,32.5,3102300,19.385813
1997-02-12,32.25,32.375,31.75,32.25,4532800,19.236692
1997-02-13,32.125,32.375,31.875,31.875,4405200,19.013009
1997-02-14,32.0,32.375,31.75,32.25,5225100,19.236692
1997-02-18,32.125,32.75,32.0,32.75,3515400,19.534935
1997-02-19,32.5,33.25,32.5,32.875,4414500,19.609496
1997-02-20,32.875,34.0,32.875,33.5,6854800,19.9823
1997-02-21,33.875,34.875,33.75,34.5,8611900,20.578787
1997-02-24,34.5,34.625,34.0,34.125,4923200,20.355104
1997-02-25,34.375,34.625,33.875,33.875,3833700,20.205983
1997-02-26,33.0,33.75,32.5,33.0,5652600,19.684057
1997-02-27,33.125,33.75,32.875,33.125,4063000,19.758618
1997-02-28,33.0,33.625,32.875,33.0,4453800,19.684057
1997-03-03,32.75,33.625,32.75,33.375,2895600,19.907739
1997-03-04,33.125,33.375,32.125,32.25,3983800,19.236692
1997-03-05,32.5,32.625,32.0,32.25,4086000,19.236692
1997-03-06,32.25,32.5,31.875,31.875,4370600,19.013009
1997-03-07,31.875,32.0,31.625,31.75,4196000,18.938449
1997-03-10,32.0,32.125,31.75,32.0,2817200,19.08757
1997-03-11,31.875,32.75,31.75,32.5,4694300,19.385813
1997-03-12,32.625,32.75,32.0,32.0,4182800,19.155352
1997-03-13,31.875,32.0,31.375,31.375,3827700,18.781224
1997-03-14,31.375,31.875,30.875,31.125,4452600,18.631572
1997-03-17,31.125,31.125,30.75,30.875,4335500,18.481921
1997-03-18,31.0,31.375,30.75,31.0,4538900,18.556747
1997-03-19,31.125,32.125,31.125,32.0,4532700,19.155352
1997-03-20,32.0,32.75,32.0,32.625,4527100,19.52948
1997-03-21,32.875,33.25,32.375,32.5,5043800,19.454654
1997-03-24,32.625,32.875,32.25,32.75,2857200,19.604305
1997-03-25,32.625,33.25,32.5,33.25,3316300,19.903608
1997-03-26,33.25,33.375,32.5,33.25,2782500,19.903608
1997-03-27,33.25,33.625,33.0,33.25,3808700,19.903608
1997-03-31,33.125,33.25,32.0,32.375,4782300,19.379828
1997-04-01,32.5,32.5,31.625,31.875,3868000,19.080526
1997-04-02,31.625,32.125,31.5,31.875,3449500,19.080526
1997-04-03,31.5,31.875,31.25,31.875,2689700,19.080526
1997-04-04,31.5,31.75,31.125,31.625,3565800,18.930875
1997-04-07,31.75,32.25,31.625,32.125,2906300,19.230177
1997-04-08,32.0,32.375,31.875,32.125,2350800,19.230177
1997-04-09,32.125,32.875,32.125,32.75,3126100,19.604305
1997-04-10,32.75,33.375,32.75,33.0,3667500,19.753956
1997-04-11,32.75,33.125,31.875,31.875,3315600,19.080526
1997-04-14,31.875,32.75,31.875,32.625,3160100,19.52948
1997-04-15,32.75,33.125,32.5,32.875,3499200,19.679131
1997-04-16,32.5,33.25,32.5,32.875,3661400,19.679131
1997-04-17,32.75,33.625,32.75,33.25,4172200,19.903608
1997-04-18,33.25,33.375,32.875,33.125,3096800,19.828782
1997-04-21,32.875,33.375,32.5,32.75,2270300,19.604305
1997-04-22,32.625,33.625,32.25,33.5,3516200,20.053259
1997-04-23,33.5,33.625,33.125,33.25,2346000,19.903608
1997-04-24,33.25,33.625,33.0,33.5,2536500,20.053259
1997-04-25,33.125,33.25,31.875,32.0,4437000,19.155352
1997-04-28,32.0,32.125,31.0,31.25,4560900,18.706398
1997-04-29,34.0,34.75,33.625,34.375,12075500,20.577038
1997-04-30,33.625,34.875,33.5,34.875,6030300,20.87634
1997-05-01,34.5,35.125,34.5,34.875,5352700,20.87634
1997-05-02,34.75,35.625,34.75,35.5,4673000,21.250468
1997-05-05,35.5,36.875,35.125,36.625,6794300,21.923899
1997-05-06,36.5,36.875,36.25,36.375,5609300,21.774247
1997-05-07,36.25,36.5,35.875,36.125,3683700,21.624596
1997-05-08,35.25,36.25,35.25,35.25,3900900,21.100817
1997-05-09,35.5,36.625,35.5,36.5,3272100,21.849073
1997-05-12,36.375,37.375,36.375,36.75,4797700,21.998724
1997-05-13,36.875,37.125,36.625,36.875,4150900,22.07355
1997-05-14,37.125,37.5,37.0,37.125,3516300,22.223201
1997-05-15,37.0,37.5,36.875,37.375,2310300,22.372852
1997-05-16,37.125,37.625,36.75,36.75,4771000,21.998724
1997-05-19,36.625,37.875,36.625,37.5,3072300,22.447678
1997-05-20,37.375,37.625,36.75,37.5,3356700,22.447678
1997-05-21,37.5,37.625,36.125,36.25,4423700,21.699422
1997-05-22,36.125,36.375,35.375,35.5,4879300,21.250468
1997-05-23,35.5,36.5,35.5,36.5,3739900,21.849073
1997-05-27,36.125,37.375,36.0,37.0,4306700,22.148375
1997-05-28,36.625,37.625,36.625,37.375,3951500,22.372852
1997-05-29,37.25,37.625,37.25,37.375,2757800,22.372852
1997-05-30,37.0,37.75,36.75,36.75,5550200,21.998724
1997-06-02,37.625,38.375,37.5,37.75,5966500,22.597329
1997-06-03,37.5,38.375,37.5,38.125,3803900,22.821806
1997-06-04,38.0,38.125,35.625,36.0,9985300,21.549771
1997-06-05,36.75,37.375,36.375,36.75,9514100,21.998724
1997-06-06,36.875,37.375,36.875,37.125,3347200,22.223201
1997-06-09,37.125,37.5,36.75,37.375,3875300,22.372852
1997-06-10,37.375,37.625,37.125,37.625,2700900,22.522503
1997-06-11,37.5,37.875,36.875,37.875,3953200,22.747727
1997-06-12,38.375,38.75,38.0,38.625,4100800,23.198177
1997-06-13,38.25,39.375,38.25,39.0,5672900,23.423402
1997-06-16,38.625,39.0,38.375,38.5,3429600,23.123102
1997-06-17,38.125,38.625,37.875,38.5,3598200,23.123102
1997-06-18,38.25,38.75,38.125,38.75,2286500,23.273252
1997-06-19,38.5,39.25,38.25,38.5,2874600,23.123102
1997-06-20,38.25,38.5,38.125,38.125,4917700,22.897877
1997-06-23,37.75,38.125,37.0,37.125,4052100,22.297277
1997-06-24,37.375,37.5625,36.625,37.3125,4724400,22.40989
1997-06-25,37.0,37.875,36.8125,37.0,4194400,22.222202
1997-06-26,36.875,37.625,36.875,37.25,3509400,22.372352
1997-06-27,37.25,38.75,37.25,37.875,4402300,22.747727
1997-06-30,38.125,38.4375,37.5,37.5625,4374800,22.56004
1997-07-01,37.5625,38.5,37.5625,38.25,3927400,22.972952
1997-07-02,38.0625,38.25,37.75,38.0,4736400,22.822802
1997-07-03,38.4375,39.0,38.3125,38.9375,2954200,23.385865
1997-07-07,39.0,39.5,38.75,39.0,3951800,23.423402
1997-07-08,39.0625,39.5,39.0,39.1875,3285400,23.536015
1997-07-09,38.9375,39.1875,38.0,38.375,3676200,23.048027
1997-07-10,38.375,38.875,38.1875,38.8125,3521300,23.31079
1997-07-11,38.5625,38.875,37.125,37.375,4944400,22.447427
1997-07-14,37.4375,38.25,37.4375,37.875,3949700,22.747727
1997-07-15,37.8125,38.0,36.8125,37.25,4971000,22.372352
1997-07-16,37.25,37.3125,36.25,36.5625,5399700,21.95944
1997-07-17,36.125,36.3125,35.25,35.6875,7261900,21.433915
1997-07-18,35.75,36.625,35.125,36.0,5329800,21.621602
1997-07-21,35.1875,35.625,34.8125,35.5625,4511400,21.35884
1997-07-22,37.5,38.375,37.1875,38.0625,7571200,22.86034
1997-07-23,38.0625,38.4375,37.0,37.0,4294700,22.222202
1997-07-24,37.25,38.0625,37.0,37.5,3775200,22.522502
1997-07-25,37.375,38.75,37.375,38.4375,4376800,23.085565
1997-07-28,38.3125,38.75,38.25,38.4375,2551900,23.085565
1997-07-29,38.1875,38.1875,37.5625,37.75,3698400,22.672652
1997-07-30,37.9375,38.6875,37.6875,38.6875,4252800,23.235715
1997-07-31,38.6875,38.875,38.25,38.25,3683600,22.972952
1997-08-01,37.8125,38.5,37.0,38.0625,4529600,22.86034
1997-08-04,38.0,38.75,38.0,38.4375,3203900,23.085565
1997-08-05,38.25,38.9375,38.125,38.8125,3250100,23.31079
1997-08-06,38.25,39.75,38.1875,39.6875,5235700,23.836315
1997-08-07,39.625,39.625,38.9375,39.0,3929100,23.423402
1997-08-08,38.125,38.5625,37.25,37.5,4064100,22.522502
1997-08-11,37.5,38.1875,37.25,38.1875,3266300,22.935415
1997-08-12,38.125,38.1875,37.25,37.4375,2394600,22.484965
1997-08-13,37.5625,38.0625,36.5625,36.6875,3812000,22.034515
1997-08-14,36.625,37.25,36.0625,36.25,3904200,21.771752
1997-08-15,36.0625,36.6875,35.5625,35.75,4657900,21.471452
1997-08-18,35.625,36.3125,34.875,36.1875,5496200,21.734215
1997-08-19,36.1875,36.3125,35.8125,36.1875,3693800,21.734215
1997-08-20,35.8125,36.9375,35.6875,36.0,6454100,21.621602
1997-08-21,35.8125,36.625,35.75,36.1875,4398800,21.734215
1997-08-22,35.3125,36.9375,35.3125,36.75,3145300,22.072052
1997-08-25,36.8125,37.375,36.25,36.375,3148100,21.846827
1997-08-26,36.0625,36.8125,35.9375,36.6875,3061500,22.034515
1997-08-27,36.625,37.25,36.3125,37.0625,3330500,22.25974
1997-08-28,36.625,37.3125,36.0,36.75,2820800,22.072052
1997-08-29,36.25,36.375,35.5,36.0,3091900,21.621602
1997-09-02,36.0,36.8125,36.0,36.8125,4101600,22.10959
1997-09-03,36.8125,37.875,36.8125,37.5625,4236600,22.56004
1997-09-04,37.4375,37.9375,37.375,37.4375,2711200,22.484965
1997-09-05,37.5625,37.875,37.5,37.5,2597500,22.522502
1997-09-08,38.125,38.75,38.0,38.125,4179600,22.897877
1997-09-09,38.0625,38.5,37.75,38.4375,3310300,23.085565
1997-09-10,38.1875,38.5625,37.75,37.75,2763100,22.672652
1997-09-11,37.5625,37.6875,37.0,37.5,3758700,22.522502
1997-09-12,37.625,38.1875,37.3125,38.0625,2894000,22.86034
1997-09-15,37.8125,38.0625,37.5,37.8125,1573600,22.71019
1997-09-16,37.8125,38.75,37.5,38.5,3610000,23.123102
1997-09-17,38.0,38.875,38.0,38.75,3315600,23.349061
1997-09-18,38.875,39.1875,38.0,38.0,3336400,22.897143
1997-09-19,38.125,38.4375,37.8125,38.1875,3962000,23.010123
1997-09-22,38.3125,39.4375,38.0,38.875,2858800,23.42438
1997-09-23,38.4375,39.0625,38.375,38.75,2565700,23.349061
1997-09-24,38.5625,40.0,38.5625,39.4375,6417000,23.763318
1997-09-25,39.375,39.875,39.25,39.6875,3930500,23.913957
1997-09-26,39.75,40.25,39.625,40.1875,5412500,24.215236
1997-09-29,39.875,41.3125,39.8125,41.0,5453900,24.704813
1997-09-30,40.75,40.9375,40.0,40.5625,3716600,24.441194
1997-10-01,40.0625,40.75,40.0,40.1875,4146100,24.215236
1997-10-02,40.0625,40.3125,39.75,39.75,2670500,23.951617
1997-10-03,40.125,40.75,39.4375,39.875,3528000,24.026937
1997-10-06,40.3125,40.5,40.125,40.1875,2725200,24.215236
1997-10-07,38.0625,39.25,37.875,38.75,4749700,25.369123
1997-10-08,38.875,39.3125,38.625,39.25,4010800,25.696467
1997-10-09,38.875,39.25,38.6875,39.125,3225800,25.614631
1997-10-10,39.0,39.5,38.875,39.5,2581900,25.860138
1997-10-13,39.375,39.9375,39.125,39.125,1892000,25.614631
1997-10-14,39.375,39.5625,38.3125,38.75,2262600,25.369123
1997-10-15,38.3125,38.625,37.25,37.5,3168300,24.550764
1997-10-16,37.75,38.4375,36.375,37.25,2824800,24.387093
1997-10-17,37.0,38.1875,36.625,37.9375,3382000,24.83719
1997-10-20,38.25,39.0,38.0,38.875,3184800,25.450959
1997-10-21,39.0,40.0,38.75,40.0,3893300,26.187482
1997-10-22,40.0,40.6875,38.375,38.4375,5529700,25.164533
1997-10-23,37.125,38.0,37.0625,37.75,4334700,24.714436
1997-10-24,38.1875,38.75,37.25,37.375,3939600,24.468928
1997-10-27,36.75,37.0,34.125,34.9375,5284300,22.873129
1997-10-28,33.375,38.0,33.375,37.6875,10041500,24.673518
1997-10-29,37.4375,37.75,35.8125,36.25,5232900,23.732405
1997-10-30,36.25,36.9375,35.75,35.75,3745300,23.405062
1997-10-31,36.5,37.1875,36.3125,36.875,3898700,24.141585
1997-11-03,36.875,37.75,36.875,37.375,2964500,24.468928
1997-11-04,37.0625,37.4375,36.8125,37.25,2341700,24.387093
1997-11-05,37.0625,38.0625,37.0625,37.375,2399800,24.468928
1997-11-06,36.9375,37.375,36.75,36.9375,2793400,24.182503
1997-11-07,35.6875,36.6875,35.6875,36.4375,3396700,23.855159
1997-11-10,36.3125,36.625,35.5,35.6875,2824900,23.364144
1997-11-11,35.375,36.125,35.375,35.8125,1744900,23.44598
1997-11-12,35.5625,36.25,35.25,35.375,2406200,23.159554
1997-11-13,35.625,36.1875,35.375,35.875,2105900,23.486898
1997-11-14,35.9375,36.8125,35.875,36.5625,2099900,23.936995
1997-11-17,37.0,37.5,36.75,37.375,1705000,24.468928
1997-11-18,36.875,37.1875,36.125,36.4375,2084500,23.855159
1997-11-19,36.25,38.0625,36.25,37.5625,2839800,24.591682
1997-11-20,37.8125,38.4375,37.6875,37.6875,3179100,24.673518
1997-11-21,37.9375,38.0,37.3125,38.0,3841200,24.878108
1997-11-24,37.4375,37.5625,36.875,37.0625,2893000,24.264339
1997-11-25,37.25,37.6875,37.0625,37.1875,2838600,24.346175
1997-11-26,37.375,37.5,36.8125,36.9375,2239800,24.182503
1997-11-28,36.9375,37.5625,36.875,36.875,803600,24.141585
1997-12-01,37.375,38.1875,37.25,37.6875,2963700,24.673518
1997-12-02,37.75,38.1875,37.0625,37.375,3221900,24.468928
1997-12-03,37.375,37.875,37.3125,37.8125,2436000,24.755354
1997-12-04,37.8125,38.1875,37.1875,37.375,2484900,24.468928
1997-12-05,37.125,38.0,37.125,37.3125,2196400,24.42801
1997-12-08,37.3125,37.3125,35.875,36.5,4954000,23.896077
1997-12-09,36.1875,36.4375,35.5625,35.8125,3616000,23.44598
1997-12-10,35.6875,36.5625,35.1875,35.5,3350500,23.322796
1997-12-11,35.375,35.5625,35.125,35.25,2981100,23.158551
1997-12-12,35.5,35.9375,35.0625,35.125,3548400,23.076428
1997-12-15,35.5625,36.0625,35.4375,36.0625,2918000,23.692347
1997-12-16,35.5,35.625,34.75,35.4375,6885900,23.281734
1997-12-17,35.6875,35.6875,34.8125,34.875,3890700,22.912183
1997-12-18,34.6875,34.875,34.3125,34.75,3525900,22.83006
1997-12-19,34.3125,35.3125,34.125,34.875,5580500,22.912183
1997-12-22,34.875,35.5,34.875,35.125,2969700,23.076428
1997-12-23,35.125,35.3125,34.125,34.25,4049100,22.50157
1997-12-24,34.5,35.125,34.25,34.4375,2048500,22.624754
1997-12-26,34.5,35.125,34.5,34.75,1034400,22.83006
1997-12-29,35.25,35.3125,34.8125,34.875,3160600,22.912183
1997-12-30,35.3125,36.9375,35.0625,36.6875,3813300,24.10296
1997-12-31,36.6875,36.8125,36.25,36.25,2633900,23.815531
1998-01-02,36.3125,36.3125,35.5625,36.0,2588900,23.651286
1998-01-05,35.875,36.8125,35.625,36.5,3769900,23.979776
1998-01-06,36.5,36.625,35.0,35.1875,4391300,23.117489
1998-01-07,34.9375,35.875,34.8125,35.875,2971000,23.569163
1998-01-08,35.875,36.3125,35.8125,35.875,2920700,23.569163
1998-01-09,35.8125,36.1875,34.5,34.75,5114600,22.83006
1998-01-12,34.25,35.6875,34.1875,35.375,4438700,23.240673
1998-01-13,36.0,36.5,35.375,36.5,3309000,23.979776
1998-01-14,36.25,36.75,35.875,36.6875,3460400,24.10296
1998-01-15,36.75,36.875,35.875,35.9375,2027100,23.610224
1998-01-16,36.375,37.0,36.25,36.6875,3478200,24.10296
1998-01-20,36.875,37.75,36.5,37.625,4202400,24.718878
1998-01-21,37.0625,37.375,36.6875,37.0,2688200,24.308266
1998-01-22,36.875,37.125,36.5,36.875,2702700,24.226143
1998-01-23,36.75,37.1875,36.125,36.3125,2637600,23.856592
1998-01-26,36.1875,36.625,36.125,36.4375,2119100,23.938714
1998-01-27,35.875,36.4375,35.5625,36.0625,2979300,23.692347
1998-01-28,35.875,36.875,35.75,36.4375,2836800,23.938714
1998-01-29,36.5,37.6875,36.4375,36.875,2384000,24.226143
1998-01-30,36.625,36.75,35.9375,36.125,2563300,23.733408
1998-02-02,36.3125,36.6875,35.75,36.5,3962000,23.979776
1998-02-03,34.5,36.0,34.3125,35.1875,15324300,23.117489
1998-02-04,35.0625,36.125,35.0,35.4375,6322700,23.281734
1998-02-05,35.4375,35.9375,34.9375,35.25,4812400,23.158551
1998-02-06,35.375,35.875,35.25,35.375,4182800,23.240673
1998-02-09,35.375,35.8125,35.375,35.75,3082100,23.487041
1998-02-10,35.875,36.4375,35.5625,35.5625,5350700,23.363857
1998-02-11,35.5,35.8125,35.4375,35.625,3806500,23.404918
1998-02-12,35.625,36.375,35.5625,36.0,3617300,23.651286
1998-02-13,36.25,36.625,36.0,36.5,3557800,23.979776
1998-02-17,36.1875,36.625,35.6875,35.6875,3171100,23.445979
1998-02-18,35.6875,35.9375,35.25,35.25,3401300,23.158551
1998-02-19,35.625,35.8125,35.4375,35.4375,3192000,23.281734
1998-02-20,35.375,35.5625,35.0,35.4375,5047100,23.281734
1998-02-23,35.1875,35.4375,35.0,35.25,3474700,23.158551
1998-02-24,35.25,35.4375,35.0,35.1875,3103100,23.117489
1998-02-25,35.1875,36.625,35.1875,36.375,5038400,23.897653
1998-02-26,36.1875,37.0625,36.1875,36.8125,3758500,24.185082
1998-02-27,36.4375,36.8125,36.4375,36.5,2236000,23.979776
1998-03-02,36.75,37.1875,36.5625,37.0,3689500,24.308266
1998-03-03,36.9375,37.375,36.625,37.375,3329700,24.554633
1998-03-04,37.0,37.125,36.875,37.0625,2446900,24.349327
1998-03-05,37.0625,37.125,36.25,36.5625,3126600,24.020837
1998-03-06,36.5625,38.0,36.5625,38.0,4081500,24.965246
1998-03-09,38.625,39.4375,38.375,39.25,5917000,25.786471
1998-03-10,39.5,40.125,39.4375,40.125,5213400,26.361329
1998-03-11,40.0,40.625,39.5625,40.25,4002500,26.526085
1998-03-12,42.0,43.5,42.0,43.0,12955800,28.338427
1998-03-13,43.0,43.375,42.625,42.9375,5084500,28.297237
1998-03-16,43.0,43.4375,42.1875,43.3125,5315800,28.544375
1998-03-17,42.3125,43.875,42.3125,43.5625,4018800,28.709133
1998-03-18,43.0625,43.125,42.375,42.5625,5384600,28.0501
1998-03-19,42.3125,42.375,41.6875,41.875,3313800,27.597014
1998-03-20,42.25,43.0,42.0625,43.0,4505400,28.338427
1998-03-23,42.75,42.875,42.125,42.1875,2390400,27.802962
1998-03-24,42.4375,42.6875,42.125,42.3125,2149700,27.885341
1998-03-25,42.6875,42.875,41.9375,42.75,2731800,28.173668
1998-03-26,42.8125,43.5625,42.75,43.25,4226300,28.503185
1998-03-27,43.0625,43.25,41.9375,42.3125,2860000,27.885341
1998-03-30,42.1875,43.0625,42.125,42.75,3062900,28.173668
1998-03-31,42.625,43.4375,42.3125,42.6875,2982500,28.132479
1998-04-01,42.4375,43.875,42.375,43.625,4536300,28.750322
1998-04-02,43.4375,44.5,42.9375,44.1875,3259900,29.121029
1998-04-03,44.0625,44.8125,43.75,44.6875,3190800,29.450545
1998-04-06,44.4375,44.8125,42.9375,42.9375,3264300,28.297237
1998-04-07,42.6875,42.75,42.0625,42.375,3300100,27.926531
1998-04-08,42.5,42.6875,41.875,42.0625,3635100,27.720583
1998-04-09,42.125,42.5,42.0,42.0,1881000,27.679394
1998-04-13,42.125,42.25,41.125,41.3125,2328400,27.226308
1998-04-14,41.0,41.75,41.0,41.3125,2235400,27.226308
1998-04-15,41.25,42.0,41.0625,41.8125,3758400,27.555825
1998-04-16,41.875,41.9375,41.375,41.625,2067500,27.432256
1998-04-17,41.625,42.0,41.3125,41.8125,2625700,27.555825
1998-04-20,41.75,41.9375,41.4375,41.875,2626800,27.597014
1998-04-21,41.5,42.4375,41.125,42.0625,4160900,27.720583
1998-04-22,41.8125,44.625,41.75,43.875,4575500,28.915081
1998-04-23,43.875,44.75,43.5,44.1875,3152500,29.121029
1998-04-24,44.1875,44.5,43.125,43.625,2298600,28.750322
1998-04-27,43.0625,43.1875,41.625,43.0625,3241700,28.379616
1998-04-28,42.875,43.1875,38.75,39.75,14260400,26.196569
1998-04-29,39.625,40.0,38.375,39.375,8285600,25.949431
1998-04-30,39.5,40.25,39.5,39.6875,7405700,26.155379
1998-05-01,39.75,39.9375,38.6875,39.375,4206100,25.949431
1998-05-04,39.125,39.9375,39.0625,39.375,3726800,25.949431
1998-05-05,39.1875,40.25,39.125,40.1875,4152200,26.484896
1998-05-06,39.9375,40.25,39.0625,39.125,2585300,25.784673
1998-05-07,39.0,39.125,37.8125,37.875,5591400,24.960882
1998-05-08,38.0,38.875,38.0,38.6875,5510900,25.496346
1998-05-11,38.6875,39.25,38.375,38.75,3658700,25.537536
1998-05-12,38.6875,39.6875,38.6875,39.4375,3972400,25.990621
1998-05-13,39.0625,39.625,38.75,38.875,4009300,25.619915
1998-05-14,38.75,39.75,38.75,39.0625,4608600,25.743484
1998-05-15,38.9375,39.1875,37.5,37.5625,6201700,24.754934
1998-05-18,37.375,38.9375,37.375,37.8125,4448900,24.919692
1998-05-19,37.8125,38.375,37.8125,37.9375,3128300,25.002071
1998-05-20,39.5,40.5,39.25,40.5,8024100,26.690844
1998-05-21,40.6875,41.1875,39.9375,40.0625,4394000,26.402517
1998-05-22,40.0,40.3125,39.875,39.875,2135700,26.278948
1998-05-26,40.3125,40.875,40.0,40.375,4139600,26.608465
1998-05-27,40.0,41.375,39.9375,41.125,4131700,27.102739
1998-05-28,40.875,41.5,40.3125,40.4375,3735600,26.649654
1998-05-29,40.3125,41.4375,40.3125,40.8125,2998600,26.896792
1998-06-01,40.625,41.5625,40.5625,41.5,2411800,27.349877


================================================
FILE: contrib/samples/pair-trading/pair-trading.py
================================================
# coding: utf-8
# ##################################################################
# Pair Trading adapted to backtrader
# with PD.OLS and info for StatsModel.API
# author: Remi Roche
##################################################################

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class PairTradingStrategy(bt.Strategy):
    params = dict(
        period=10,
        stake=10,
        qty1=0,
        qty2=0,
        printout=True,
        upper=2.1,
        lower=-2.1,
        up_medium=0.5,
        low_medium=-0.5,
        status=0,
        portfolio_value=10000,
    )

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # To control operation entries
        self.orderid = None
        self.qty1 = self.p.qty1
        self.qty2 = self.p.qty2
        self.upper_limit = self.p.upper
        self.lower_limit = self.p.lower
        self.up_medium = self.p.up_medium
        self.low_medium = self.p.low_medium
        self.status = self.p.status
        self.portfolio_value = self.p.portfolio_value

        # Signals performed with PD.OLS :
        self.transform = btind.OLS_TransformationN(self.data0, self.data1,
                                                   period=self.p.period)
        self.zscore = self.transform.zscore

        # Checking signals built with StatsModel.API :
        # self.ols_transfo = btind.OLS_Transformation(self.data0, self.data1,
        #                                             period=self.p.period,
        #                                             plot=True)

    def next(self):

        if self.orderid:
            return  # if an order is active, no new orders are allowed

        if self.p.printout:
            print('Self  len:', len(self))
            print('Data0 len:', len(self.data0))
            print('Data1 len:', len(self.data1))
            print('Data0 len == Data1 len:',
                  len(self.data0) == len(self.data1))

            print('Data0 dt:', self.data0.datetime.datetime())
            print('Data1 dt:', self.data1.datetime.datetime())

        print('status is', self.status)
        print('zscore is', self.zscore[0])

        # Step 2: Check conditions for SHORT & place the order
        # Checking the condition for SHORT
        if (self.zscore[0] > self.upper_limit) and (self.status != 1):

            # Calculating the number of shares for each stock
            value = 0.5 * self.portfolio_value  # Divide the cash equally
            x = int(value / (self.data0.close))  # Find the number of shares for Stock1
            y = int(value / (self.data1.close))  # Find the number of shares for Stock2
            print('x + self.qty1 is', x + self.qty1)
            print('y + self.qty2 is', y + self.qty2)

            # Placing the order
            self.log('SELL CREATE %s, price = %.2f, qty = %d' % ("PEP", self.data0.close[0], x + self.qty1))
            self.sell(data=self.data0, size=(x + self.qty1))  # Place an order for buying y + qty2 shares
            self.log('BUY CREATE %s, price = %.2f, qty = %d' % ("KO", self.data1.close[0], y + self.qty2))
            self.buy(data=self.data1, size=(y + self.qty2))  # Place an order for selling x + qty1 shares

            # Updating the counters with new value
            self.qty1 = x  # The new open position quantity for Stock1 is x shares
            self.qty2 = y  # The new open position quantity for Stock2 is y shares

            self.status = 1  # The current status is "short the spread"

            # Step 3: Check conditions for LONG & place the order
            # Checking the condition for LONG
        elif (self.zscore[0] < self.lower_limit) and (self.status != 2):

            # Calculating the number of shares for each stock
            value = 0.5 * self.portfolio_value  # Divide the cash equally
            x = int(value / (self.data0.close))  # Find the number of shares for Stock1
            y = int(value / (self.data1.close))  # Find the number of shares for Stock2
            print('x + self.qty1 is', x + self.qty1)
            print('y + self.qty2 is', y + self.qty2)

            # Place the order
            self.log('BUY CREATE %s, price = %.2f, qty = %d' % ("PEP", self.data0.close[0], x + self.qty1))
            self.buy(data=self.data0, size=(x + self.qty1))  # Place an order for buying x + qty1 shares
            self.log('SELL CREATE %s, price = %.2f, qty = %d' % ("KO", self.data1.close[0], y + self.qty2))
            self.sell(data=self.data1, size=(y + self.qty2))  # Place an order for selling y + qty2 shares

            # Updating the counters with new value
            self.qty1 = x  # The new open position quantity for Stock1 is x shares
            self.qty2 = y  # The new open position quantity for Stock2 is y shares
            self.status = 2  # The current status is "long the spread"


            # Step 4: Check conditions for No Trade
            # If the z-score is within the two bounds, close all
        """
        elif (self.zscore[0] < self.up_medium and self.zscore[0] > self.low_medium):
            self.log('CLOSE LONG %s, price = %.2f' % ("PEP", self.data0.close[0]))
            self.close(self.data0)
            self.log('CLOSE LONG %s, price = %.2f' % ("KO", self.data1.close[0]))
            self.close(self.data1)
        """

    def stop(self):
        print('==================================================')
        print('Starting Value - %.2f' % self.broker.startingcash)
        print('Ending   Value - %.2f' % self.broker.getvalue())
        print('==================================================')


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data0 = btfeeds.YahooFinanceCSVData(
        dataname=args.data0,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data0)

    # Create the 2nd data
    data1 = btfeeds.YahooFinanceCSVData(
        dataname=args.data1,
        fromdate=fromdate,
        todate=todate)

    # Add the 2nd data to cerebro
    cerebro.adddata(data1)

    # Add the strategy
    cerebro.addstrategy(PairTradingStrategy,
                        period=args.period,
                        stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.commperc)

    # And run it
    cerebro.run(runonce=not args.runnext,
                preload=not args.nopreload,
                oldsync=args.oldsync)

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiData Strategy')

    parser.add_argument('--data0', '-d0',
                        default='../../datas/daily-PEP.csv',
                        help='1st data into the system')

    parser.add_argument('--data1', '-d1',
                        default='../../datas/daily-KO.csv',
                        help='2nd data into the system')

    parser.add_argument('--fromdate', '-f',
                        default='1997-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='1998-06-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=10, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--runnext', action='store_true',
                        help='Use next by next instead of runonce')

    parser.add_argument('--nopreload', action='store_true',
                        help='Do not preload the data')

    parser.add_argument('--oldsync', action='store_true',
                        help='Use old data synchronization method')

    parser.add_argument('--commperc', default=0.005, type=float,
                        help='Percentage commission (0.005 is 0.5%%')

    parser.add_argument('--stake', default=10, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', default=True, action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: contrib/utils/influxdb-import.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-

import sys
import os
import io
import logging
import argparse
import pandas as pd
from influxdb import DataFrameClient as dfclient
from influxdb.exceptions import InfluxDBClientError



class InfluxDBTool(object):
    def __init__(self):
        self._host = args.host if args.host else 'localhost'
        self._port = args.port if args.port else 8086
        self._username = args.username if args.username else None
        self._password = args.password if args.password else None
        self._database = args.database if args.database else 'instruments'
        self._ticker = args.ticker
        self._cache = os.path.expanduser(args.sourcepath)

        self.dfdb = dfclient(self._host, self._port,
                             self._username, self._password,
                             self._database)

    def write_dataframe_to_idb(self, ticker):
        """Write Pandas Dataframe to InfluxDB database"""
        cachepath = self._cache
        cachefile = ('%s/%s-1M.csv.gz' % (cachepath, ticker))

        if not os.path.exists(cachefile):
            log.warn('Import file does not exist: %s' %
                     (cachefile))
            return

        df = pd.read_csv(cachefile, compression='infer', header=0,
                         infer_datetime_format=True)

        df['Datetime'] = pd.to_datetime(df['Date'] + ' ' + df['Time'])
        df = df.set_index('Datetime')
        df = df.drop(['Date', 'Time'], axis=1)

        try:
            self.dfdb.write_points(df, ticker)
        except InfluxDBClientError as err:
            log.error('Write to database failed: %s' % err)

    def get_tickers_from_file(self, filename):
        """Load ticker list from txt file"""
        if not os.path.exists(filename):
            log.error("Ticker List file does not exist: %s", filename)

        tickers = []
        with io.open(filename, 'r') as fd:
            for ticker in fd:
                tickers.append(ticker.rstrip())
        return tickers


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description="Run InfluxDB Import")

    exoptgroup = parser.add_mutually_exclusive_group(required=False)
    exoptgroup.add_argument("--ticker",
                            action='store', default='SPY',
                            help="Ticker to request data for.")
    exoptgroup.add_argument('--ticker-list',
                            action='store', default=None,
                            help='Path to folder to create files.')
    parser.add_argument('--host',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB hostname.')
    parser.add_argument('--port',
                        required=False, action='store',
                        default=None, type=int,
                        help='InfluxDB port number.')
    parser.add_argument('--username',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB username.')
    parser.add_argument('--password',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB password.')
    parser.add_argument('--database',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB database to use.')
    parser.add_argument('--sourcepath',
                        required=False, action='store',
                        default='~/.iqfeed/data',
                        help='Path to CSV source folder.')
    parser.add_argument('--testrun',
                        required=False, action='store_true',
                        help='Don\'t write to InfluxDB')
    parser.add_argument('--debug',
                        required=False, action='store_true',
                        help='Turn on debug logging level.')
    parser.add_argument('--info',
                        required=False, action='store_true',
                        help='Turn on info logging level.')

    args = parser.parse_args()

    if len(sys.argv) < 2:
        parser.print_help()
        parser.exit(1)

    tool = InfluxDBTool()

    log = logging.getLogger()
    log_console = logging.StreamHandler(sys.stdout)
    log.addHandler(log_console)

    if args.debug:
        log.setLevel(logging.DEBUG)

    if args.info:
        log.setLevel(logging.INFO)

    tickers = []
    if args.ticker_list:
        tickers = tool.get_tickers_from_file(args.ticker_list)
    else:
        tickers.append(args.ticker.rstrip())

    for (i, ticker) in enumerate(tickers):
        log.info("Processing %s (%d out of %d)", ticker, i+1,
                 len(tickers))
        tool.write_dataframe_to_idb(ticker=ticker)


================================================
FILE: contrib/utils/iqfeed-to-influxdb.py
================================================
#!/usr/bin/env python3
# -*- coding: utf-8; py-indent-offset:4 -*-

import sys
import os
import io
import socket
import logging
import numpy as np
import pandas as pd
import datetime as dt
import argparse
from influxdb import DataFrameClient as dfclient
from influxdb.exceptions import InfluxDBClientError


class IQFeedTool(object):
    def __init__(self):
        timeout = 10.0
        self._dbhost = args.dbhost if args.dbhost else 'localhost'
        self._dbport = args.dbport if args.dbport else 8086
        self._username = args.username if args.username else None
        self._password = args.password if args.password else None
        self._database = args.database if args.database else 'instruments'
        self._ticker = args.ticker

        self._iqhost = args.iqhost if args.iqhost else 'localhost'
        self._iqport = args.iqport if args.iqport else 9100
        self._ticker = args.ticker
        self._year = None
        self._recv_buf = ""
        self._ndf = pd.DataFrame()

        # Open a streaming socket to the IQFeed daemon
        self._sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        self._sock.connect((self._iqhost, self._iqport))
        self._sock.settimeout(timeout)

        self.dfdb = dfclient(self._dbhost, self._dbport,
                             self._username, self._password,
                             self._database)

        if not args.fromdate:
            self._start = str(dt.datetime.today().year)
        elif len(args.fromdate) == 4 or len(args.fromdate == 10):
            self._start = args.fromdate
        else:
            log.error('Starting date required in YYYY-MM-DD or YYYY format.')
            sys.exit(-1)

        if not args.todate:
            self._stop = str(dt.datetime.today().year)
        elif len(args.fromdate) == 4 or len(args.fromdate == 10):
            self._stop = args.todate
        else:
            log.error('Starting date required in YYYY-MM-DD or YYYY format.')
            sys.exit(-1)

    def _send_cmd(self, cmd: str):
        """Encode IQFeed API messages."""
        self._sock.sendall(cmd.encode(encoding='latin-1', errors='strict'))

    def iq_query(self, message: str):
        """Send data query to IQFeed API."""
        end_msg = '!ENDMSG!'
        recv_buffer = 4096

        # Send the historical data request message and buffer the data
        self._send_cmd(message)

        chunk = ""
        data = ""
        while True:
            chunk = self._sock.recv(recv_buffer).decode('latin-1')
            data += chunk
            if chunk.startswith('E,'):  # error condition
                if chunk.startswith('E,!NO_DATA!'):
                    log.warn('No data available for the given symbol or dates')
                    return
                else:
                    raise Exception(chunk)
            elif end_msg in chunk:
                break

        # Clean up the data.
        data = data[:-1 * (len(end_msg) + 3)]
        data = "".join(data.split("\r"))
        data = data.replace(",\n", ",")[:-1]
        data = data.split(",")
        return data

    def get_historical_minute_data(self, ticker: str):
        """Request historical 5 minute data from DTN."""
        start = self._start
        stop = self._stop

        if len(stop) > 4:
            stop = stop[:4]

        if len(start) > 4:
            start = start[:4]

        for year in range(int(start), int(stop) + 1):
            beg_time = ('%s0101000000' % year)
            end_time = ('%s1231235959' % year)
            msg = "HIT,%s,60,%s,%s,,,,1,,,s\r\n" % (ticker,
                                                    beg_time,
                                                    end_time)
            try:
                data = iq.iq_query(message=msg)
                iq.add_data_to_df(data=data)
            except Exception as err:
                log.error('No data returned because %s', err)

        try:
            self.dfdb.write_points(self._ndf, ticker)
        except InfluxDBClientError as err:
            log.error('Write to database failed: %s' % err)

    def add_data_to_df(self, data: np.array):
        """Build Pandas Dataframe in memory"""

        col_names = ['high_p', 'low_p', 'open_p', 'close_p', 'volume', 'oi']

        data = np.array(data).reshape(-1, len(col_names) + 1)
        df = pd.DataFrame(data=data[:, 1:], index=data[:, 0],
                          columns=col_names)

        df.index = pd.to_datetime(df.index)

        # Sort the dataframe based on ascending dates.
        df.sort_index(ascending=True, inplace=True)

        # Convert dataframe columns to float and ints.
        df[['high_p', 'low_p', 'open_p', 'close_p']] = df[
            ['high_p', 'low_p', 'open_p', 'close_p']].astype(float)
        df[['volume', 'oi']] = df[['volume', 'oi']].astype(int)

        if self._ndf.empty:
            self._ndf = df
        else:
            self._ndf = self._ndf.append(df)

    def get_tickers_from_file(self, filename):
        """Load ticker list from txt file"""
        if not os.path.exists(filename):
            log.error("Ticker List file does not exist: %s", filename)

        tickers = []
        with io.open(filename, 'r') as fd:
            for ticker in fd:
                tickers.append(ticker.rstrip())
        return tickers


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description="Import IQFeed Historical Data to InfluxDB")

    exoptgroup = parser.add_mutually_exclusive_group(required=True)
    exoptgroup.add_argument("--ticker",
                            action='store', default='SPY',
                            help="Ticker to request data for.")
    exoptgroup.add_argument('--ticker-list',
                            action='store', default=None,
                            help='Path to folder to create files.')
    parser.add_argument('--dbhost',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB hostname.')
    parser.add_argument('--dbport',
                        required=False, action='store',
                        default=None, type=int,
                        help='InfluxDB port number.')
    parser.add_argument('--iqhost',
                        required=False, action='store',
                        default=None,
                        help='IQfeed Connect hostname.')
    parser.add_argument('--iqport',
                        required=False, action='store',
                        default=None, type=int,
                        help='IQfeed Connect port number.')
    parser.add_argument('--username',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB username.')
    parser.add_argument('--password',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB password.')
    parser.add_argument('--database',
                        required=False, action='store',
                        default=None,
                        help='InfluxDB database to use.')
    parser.add_argument('--fromdate',
                        required=False, action='store', default=None,
                        type=str,
                        help=('Starting date for historical download '
                              'with format: YYYY[-MM-DDTHH:MM:SS].'))
    parser.add_argument('--todate',
                        required=False, action='store', default=None,
                        type=str,
                        help=('Ending date for historical download '
                              'with format: YYYY[-MM-DDTHH:MM:SS].'))
    parser.add_argument('--debug',
                        required=False, action='store_true',
                        help='Turn on debug logging level.')
    parser.add_argument('--info',
                        required=False, action='store_true',
                        help='Turn on info logging level.')

    args = parser.parse_args()

    iq = IQFeedTool()

    log = logging.getLogger()
    log_console = logging.StreamHandler(sys.stdout)
    log.addHandler(log_console)

    tickers = []
    if args.ticker_list:
        tickers = iq.get_tickers_from_file(args.ticker_list)
    else:
        tickers.append(args.ticker.rstrip())

    for (i, ticker) in enumerate(tickers):
        try:
            log.info("Processing %s (%d out of %d)", ticker, i+1,
                     len(tickers))

            iq.get_historical_minute_data(ticker=ticker)

        except Exception as err:
            log.error('Error returned: %s', err)


================================================
FILE: datas/2005-2006-day-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2005-01-03,2952.29,2989.61,2946.80,2970.02,0,0
2005-01-04,2969.78,2979.88,2961.14,2971.12,0,0
2005-01-05,2969.00,2969.00,2942.69,2947.19,0,0
2005-01-06,2947.44,2967.65,2947.44,2966.24,0,0
2005-01-07,2965.54,2988.99,2964.48,2979.82,0,0
2005-01-10,2980.30,2986.07,2967.79,2977.21,0,0
2005-01-11,2977.14,2981.51,2943.42,2949.29,0,0
2005-01-12,2948.89,2952.79,2914.00,2924.01,0,0
2005-01-13,2925.60,2943.09,2922.91,2936.32,0,0
2005-01-14,2933.58,2951.77,2925.13,2948.22,0,0
2005-01-17,2948.11,2963.22,2948.11,2963.06,0,0
2005-01-18,2962.28,2965.60,2940.77,2962.50,0,0
2005-01-19,2963.91,2976.33,2957.21,2959.90,0,0
2005-01-20,2957.55,2957.55,2929.78,2937.71,0,0
2005-01-21,2937.27,2944.92,2927.62,2940.87,0,0
2005-01-24,2939.68,2940.02,2916.08,2937.83,0,0
2005-01-25,2937.66,2960.90,2932.56,2958.61,0,0
2005-01-26,2958.31,2967.62,2954.36,2956.43,0,0
2005-01-27,2956.32,2970.81,2948.55,2970.81,0,0
2005-01-28,2969.91,2977.99,2950.68,2955.89,0,0
2005-01-31,2958.07,2987.88,2958.07,2984.75,0,0
2005-02-01,2984.63,3008.85,2982.06,3008.85,0,0
2005-02-02,3009.08,3022.87,3008.92,3021.95,0,0
2005-02-03,3021.94,3023.85,3001.87,3010.39,0,0
2005-02-04,3011.58,3038.31,3011.58,3037.13,0,0
2005-02-07,3037.21,3055.27,3037.21,3051.97,0,0
2005-02-08,3052.01,3058.09,3044.78,3056.65,0,0
2005-02-09,3056.37,3064.30,3036.16,3044.36,0,0
2005-02-10,3047.97,3056.80,3035.37,3044.00,0,0
2005-02-11,3046.36,3080.08,3046.36,3079.85,0,0
2005-02-14,3079.93,3083.38,3065.27,3075.76,0,0
2005-02-15,3075.20,3091.64,3071.08,3086.95,0,0
2005-02-16,3087.30,3087.30,3057.17,3068.55,0,0
2005-02-17,3068.79,3082.69,3064.96,3067.34,0,0
2005-02-18,3067.26,3080.91,3062.52,3072.04,0,0
2005-02-21,3072.31,3079.89,3054.91,3063.64,0,0
2005-02-22,3062.99,3062.99,3029.22,3045.24,0,0
2005-02-23,3042.65,3042.65,3007.08,3028.08,0,0
2005-02-24,3030.17,3032.97,3020.33,3024.80,0,0
2005-02-25,3029.07,3062.79,3029.07,3062.72,0,0
2005-02-28,3063.85,3081.86,3058.32,3058.35,0,0
2005-03-01,3056.45,3082.87,3054.03,3078.44,0,0
2005-03-02,3078.89,3082.71,3060.09,3082.71,0,0
2005-03-03,3080.71,3091.09,3072.08,3078.11,0,0
2005-03-04,3079.93,3106.86,3079.06,3106.86,0,0
2005-03-07,3106.98,3117.77,3106.42,3114.54,0,0
2005-03-08,3113.82,3113.82,3093.64,3097.34,0,0
2005-03-09,3098.91,3115.06,3078.07,3081.99,0,0
2005-03-10,3079.01,3079.01,3048.60,3053.62,0,0
2005-03-11,3058.37,3073.75,3057.56,3060.36,0,0
2005-03-14,3060.06,3065.04,3050.05,3060.72,0,0
2005-03-15,3062.77,3086.48,3062.77,3083.73,0,0
2005-03-16,3083.33,3083.33,3030.43,3032.13,0,0
2005-03-17,3032.84,3045.04,3025.33,3039.80,0,0
2005-03-18,3040.38,3062.94,3040.38,3053.54,0,0
2005-03-21,3052.39,3059.18,3037.80,3038.14,0,0
2005-03-22,3040.55,3053.18,3021.66,3050.44,0,0
2005-03-23,3040.66,3040.82,3019.29,3036.85,0,0
2005-03-24,3039.55,3063.41,3037.20,3060.67,0,0
2005-03-29,3060.02,3069.80,3037.81,3068.49,0,0
2005-03-30,3067.30,3067.30,3045.56,3056.21,0,0
2005-03-31,3059.10,3080.25,3053.90,3055.73,0,0
2005-04-01,3055.18,3077.97,3053.37,3061.11,0,0
2005-04-04,3060.00,3060.00,3026.18,3042.17,0,0
2005-04-05,3046.56,3065.44,3046.56,3064.07,0,0
2005-04-06,3066.05,3076.23,3064.09,3076.23,0,0
2005-04-07,3073.40,3092.99,3070.02,3090.72,0,0
2005-04-08,3092.07,3100.72,3083.87,3088.92,0,0
2005-04-11,3088.47,3088.47,3073.75,3080.60,0,0
2005-04-12,3080.42,3081.53,3058.51,3065.18,0,0
2005-04-13,3065.92,3086.65,3065.92,3080.54,0,0
2005-04-14,3079.88,3086.02,3065.49,3075.33,0,0
2005-04-15,3074.21,3074.21,3013.79,3013.89,0,0
2005-04-18,3009.93,3009.93,2931.18,2947.79,0,0
2005-04-19,2948.38,2966.64,2948.38,2957.37,0,0
2005-04-20,2957.92,2974.58,2936.57,2944.33,0,0
2005-04-21,2942.95,2967.15,2933.68,2950.34,0,0
2005-04-22,2950.35,2981.00,2950.35,2976.39,0,0
2005-04-25,2975.37,2990.29,2966.17,2987.05,0,0
2005-04-26,2987.27,2990.88,2968.67,2983.22,0,0
2005-04-27,2981.82,2981.82,2930.96,2942.62,0,0
2005-04-28,2943.29,2955.25,2913.19,2930.87,0,0
2005-04-29,2929.21,2944.36,2911.48,2930.10,0,0
2005-05-02,2931.97,2957.46,2931.97,2949.09,0,0
2005-05-03,2949.35,2962.59,2944.60,2962.59,0,0
2005-05-04,2962.47,2981.04,2955.26,2981.04,0,0
2005-05-05,2981.64,3008.38,2981.64,3004.52,0,0
2005-05-06,3004.26,3022.54,2994.31,3019.26,0,0
2005-05-09,3018.05,3018.32,2999.17,3007.10,0,0
2005-05-10,3007.31,3017.59,2978.91,2983.42,0,0
2005-05-11,2983.09,2990.10,2965.88,2970.50,0,0
2005-05-12,2983.04,2998.31,2983.04,2993.09,0,0
2005-05-13,2991.71,2994.52,2971.44,2994.52,0,0
2005-05-16,2994.27,2994.27,2980.55,2988.16,0,0
2005-05-17,2990.13,2996.95,2976.73,2983.84,0,0
2005-05-18,2984.63,3036.30,2984.63,3036.30,0,0
2005-05-19,3034.88,3055.14,3034.88,3051.79,0,0
2005-05-20,3051.87,3060.30,3046.21,3050.45,0,0
2005-05-23,3051.53,3074.13,3051.53,3070.98,0,0
2005-05-24,3071.55,3071.55,3053.88,3066.55,0,0
2005-05-25,3066.57,3072.06,3054.84,3059.84,0,0
2005-05-26,3060.04,3089.54,3060.04,3086.08,0,0
2005-05-27,3086.69,3091.66,3072.90,3084.00,0,0
2005-05-30,3084.08,3096.54,3070.48,3096.54,0,0
2005-05-31,3096.46,3096.84,3076.53,3076.75,0,0
2005-06-01,3077.86,3125.88,3077.86,3125.88,0,0
2005-06-02,3125.64,3139.91,3119.40,3131.03,0,0
2005-06-03,3131.38,3138.10,3108.25,3114.27,0,0
2005-06-06,3114.04,3119.46,3094.43,3099.20,0,0
2005-06-07,3099.99,3138.29,3099.99,3134.82,0,0
2005-06-08,3131.08,3132.62,3115.73,3125.59,0,0
2005-06-09,3124.24,3126.66,3109.20,3122.93,0,0
2005-06-10,3126.26,3153.09,3126.26,3143.85,0,0
2005-06-13,3145.04,3160.86,3137.88,3159.83,0,0
2005-06-14,3159.09,3163.82,3148.63,3162.86,0,0
2005-06-15,3163.11,3172.87,3142.02,3147.55,0,0
2005-06-16,3147.88,3167.68,3147.88,3160.09,0,0
2005-06-17,3160.55,3193.34,3160.55,3178.48,0,0
2005-06-20,3178.01,3178.36,3150.02,3162.14,0,0
2005-06-21,3163.04,3183.06,3163.04,3179.62,0,0
2005-06-22,3179.61,3195.43,3174.30,3182.08,0,0
2005-06-23,3182.06,3192.93,3173.32,3190.80,0,0
2005-06-24,3187.67,3187.67,3156.99,3161.00,0,0
2005-06-27,3160.65,3160.65,3123.03,3132.50,0,0
2005-06-28,3136.42,3162.00,3136.42,3162.00,0,0
2005-06-29,3162.15,3190.63,3162.15,3178.56,0,0
2005-06-30,3178.58,3198.89,3173.89,3181.54,0,0
2005-07-01,3179.38,3208.94,3174.45,3208.54,0,0
2005-07-04,3209.14,3218.07,3202.72,3215.60,0,0
2005-07-05,3215.20,3216.34,3190.15,3207.91,0,0
2005-07-06,3208.43,3233.58,3208.43,3224.11,0,0
2005-07-07,3221.83,3221.83,3079.89,3170.06,0,0
2005-07-08,3172.00,3224.59,3172.00,3224.52,0,0
2005-07-11,3225.33,3251.39,3225.33,3246.40,0,0
2005-07-12,3246.20,3247.94,3223.75,3236.33,0,0
2005-07-13,3236.34,3261.50,3236.34,3260.67,0,0
2005-07-14,3261.39,3292.08,3261.39,3277.20,0,0
2005-07-15,3277.24,3286.64,3266.04,3278.58,0,0
2005-07-18,3279.16,3292.26,3268.82,3276.49,0,0
2005-07-19,3276.58,3314.06,3276.58,3314.06,0,0
2005-07-20,3312.96,3317.02,3292.31,3303.77,0,0
2005-07-21,3305.00,3329.67,3280.51,3299.92,0,0
2005-07-22,3299.57,3304.76,3281.45,3292.92,0,0
2005-07-25,3294.85,3304.01,3284.85,3298.27,0,0
2005-07-26,3298.41,3314.00,3288.84,3302.98,0,0
2005-07-27,3303.18,3320.01,3303.18,3310.84,0,0
2005-07-28,3311.09,3339.27,3311.09,3333.05,0,0
2005-07-29,3332.91,3346.56,3314.45,3326.51,0,0
2005-08-01,3326.17,3339.22,3312.88,3320.46,0,0
2005-08-02,3320.44,3349.91,3318.74,3349.91,0,0
2005-08-03,3349.39,3351.28,3329.44,3343.63,0,0
2005-08-04,3343.57,3343.57,3305.42,3310.62,0,0
2005-08-05,3309.74,3310.83,3280.49,3280.49,0,0
2005-08-08,3281.13,3307.45,3281.13,3292.41,0,0
2005-08-09,3292.08,3331.29,3289.21,3331.29,0,0
2005-08-10,3331.35,3370.84,3331.35,3370.84,0,0
2005-08-11,3367.38,3367.38,3338.53,3354.16,0,0
2005-08-12,3354.49,3356.66,3328.09,3334.15,0,0
2005-08-15,3334.34,3340.27,3323.06,3326.38,0,0
2005-08-16,3328.96,3343.35,3302.18,3307.42,0,0
2005-08-17,3307.15,3307.15,3278.01,3298.20,0,0
2005-08-18,3298.45,3300.83,3270.10,3283.84,0,0
2005-08-19,3284.35,3328.17,3284.35,3328.17,0,0
2005-08-22,3328.84,3340.12,3325.27,3330.44,0,0
2005-08-23,3324.01,3324.01,3299.28,3299.28,0,0
2005-08-24,3295.98,3297.57,3272.23,3294.25,0,0
2005-08-25,3293.69,3293.69,3253.53,3258.52,0,0
2005-08-26,3258.45,3270.27,3224.10,3224.10,0,0
2005-08-29,3222.52,3241.49,3196.65,3239.96,0,0
2005-08-30,3240.80,3255.43,3232.93,3234.10,0,0
2005-08-31,3237.61,3265.23,3235.34,3263.78,0,0
2005-09-01,3265.10,3293.10,3265.10,3282.29,0,0
2005-09-02,3281.13,3291.77,3264.20,3274.42,0,0
2005-09-05,3275.08,3303.05,3275.08,3303.05,0,0
2005-09-06,3303.42,3341.80,3303.42,3341.80,0,0
2005-09-07,3342.17,3359.95,3339.49,3349.46,0,0
2005-09-08,3349.72,3351.67,3332.58,3346.63,0,0
2005-09-09,3346.90,3365.98,3343.10,3359.65,0,0
2005-09-12,3361.10,3377.46,3349.70,3354.64,0,0
2005-09-13,3353.61,3358.04,3325.26,3325.55,0,0
2005-09-14,3325.71,3345.29,3325.71,3338.99,0,0
2005-09-15,3339.05,3352.08,3329.54,3339.02,0,0
2005-09-16,3339.38,3378.23,3338.38,3366.57,0,0
2005-09-19,3366.39,3368.48,3335.48,3356.28,0,0
2005-09-20,3356.55,3379.42,3356.55,3375.64,0,0
2005-09-21,3375.30,3375.30,3325.49,3326.78,0,0
2005-09-22,3325.87,3325.87,3292.44,3312.26,0,0
2005-09-23,3313.96,3332.32,3313.96,3331.55,0,0
2005-09-26,3335.00,3401.02,3335.00,3400.93,0,0
2005-09-27,3399.01,3399.06,3377.90,3384.24,0,0
2005-09-28,3385.25,3431.14,3385.25,3429.42,0,0
2005-09-29,3429.60,3435.20,3407.03,3412.75,0,0
2005-09-30,3414.77,3438.76,3414.77,3428.51,0,0
2005-10-03,3429.45,3451.34,3429.45,3449.34,0,0
2005-10-04,3449.03,3464.24,3432.47,3464.24,0,0
2005-10-05,3461.18,3461.18,3418.84,3418.84,0,0
2005-10-06,3416.82,3416.82,3363.12,3384.15,0,0
2005-10-07,3383.36,3391.60,3362.63,3374.10,0,0
2005-10-10,3374.92,3400.78,3373.58,3381.17,0,0
2005-10-11,3380.80,3405.63,3380.80,3387.46,0,0
2005-10-12,3384.89,3384.89,3350.07,3359.85,0,0
2005-10-13,3360.15,3361.28,3318.37,3331.42,0,0
2005-10-14,3334.89,3359.52,3316.15,3349.58,0,0
2005-10-17,3349.70,3368.42,3349.70,3356.61,0,0
2005-10-18,3356.73,3363.54,3330.14,3334.79,0,0
2005-10-19,3330.00,3330.00,3272.21,3279.61,0,0
2005-10-20,3285.27,3329.92,3276.61,3284.78,0,0
2005-10-21,3283.42,3288.77,3264.92,3271.05,0,0
2005-10-24,3271.03,3310.13,3267.51,3310.13,0,0
2005-10-25,3310.84,3324.13,3292.52,3292.52,0,0
2005-10-26,3291.80,3316.32,3285.75,3304.32,0,0
2005-10-27,3302.12,3302.12,3237.53,3241.14,0,0
2005-10-28,3240.31,3259.63,3212.07,3245.21,0,0
2005-10-31,3250.10,3320.15,3250.10,3319.74,0,0
2005-11-01,3320.21,3326.84,3305.42,3312.45,0,0
2005-11-02,3312.48,3328.88,3288.07,3320.62,0,0
2005-11-03,3322.52,3363.60,3322.52,3361.64,0,0
2005-11-04,3361.01,3364.71,3343.86,3355.28,0,0
2005-11-07,3355.00,3372.34,3340.34,3362.83,0,0
2005-11-08,3364.26,3380.86,3350.95,3361.75,0,0
2005-11-09,3361.92,3368.86,3351.22,3355.77,0,0
2005-11-10,3358.25,3381.06,3353.08,3361.05,0,0
2005-11-11,3361.43,3407.64,3361.43,3406.23,0,0
2005-11-14,3405.94,3426.51,3396.70,3412.34,0,0
2005-11-15,3412.24,3419.91,3397.45,3413.96,0,0
2005-11-16,3413.33,3413.33,3380.83,3391.59,0,0
2005-11-17,3393.12,3419.64,3393.12,3404.12,0,0
2005-11-18,3407.88,3447.66,3407.88,3427.18,0,0
2005-11-21,3428.25,3456.53,3426.95,3450.01,0,0
2005-11-22,3451.97,3457.13,3443.82,3450.51,0,0
2005-11-23,3453.13,3471.43,3453.13,3471.43,0,0
2005-11-24,3471.43,3474.27,3448.00,3459.15,0,0
2005-11-25,3459.85,3468.63,3457.00,3466.08,0,0
2005-11-28,3467.64,3493.40,3452.46,3453.11,0,0
2005-11-29,3452.18,3476.79,3438.91,3463.67,0,0
2005-11-30,3462.55,3462.55,3439.68,3447.07,0,0
2005-12-01,3448.23,3501.54,3448.23,3501.43,0,0
2005-12-02,3502.94,3521.05,3502.94,3519.63,0,0
2005-12-05,3519.90,3521.32,3490.27,3499.40,0,0
2005-12-06,3499.61,3523.94,3497.43,3516.84,0,0
2005-12-07,3517.33,3530.71,3495.71,3505.34,0,0
2005-12-08,3501.54,3510.38,3477.77,3510.38,0,0
2005-12-09,3509.92,3509.92,3488.89,3500.80,0,0
2005-12-12,3501.33,3532.38,3501.33,3514.07,0,0
2005-12-13,3514.30,3532.51,3507.55,3528.34,0,0
2005-12-14,3529.45,3537.46,3510.71,3519.12,0,0
2005-12-15,3520.51,3526.74,3510.40,3522.30,0,0
2005-12-16,3522.42,3566.64,3522.42,3556.76,0,0
2005-12-19,3554.74,3560.98,3546.38,3551.10,0,0
2005-12-20,3550.80,3565.25,3537.46,3561.11,0,0
2005-12-21,3562.25,3593.58,3562.25,3591.99,0,0
2005-12-22,3591.61,3600.10,3586.32,3591.02,0,0
2005-12-23,3593.16,3607.94,3593.16,3599.47,0,0
2005-12-27,3599.47,3619.61,3599.47,3612.21,0,0
2005-12-28,3611.49,3615.39,3601.65,3605.12,0,0
2005-12-29,3606.84,3621.89,3606.84,3616.33,0,0
2005-12-30,3616.09,3616.09,3572.16,3578.93,0,0
2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0
2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0
2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0
2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0
2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0
2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0
2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0
2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0
2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0
2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0
2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0
2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0
2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0
2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0
2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0
2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0
2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0
2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0
2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0
2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0
2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0
2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0
2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0
2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0
2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0
2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0
2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0
2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0
2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0
2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0
2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0
2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0
2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0
2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0
2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0
2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0
2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0
2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0
2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0
2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0
2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0
2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0
2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0
2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0
2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0
2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0
2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0
2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0
2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0
2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0
2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0
2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0
2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0
2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0
2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0
2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0
2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0
2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0
2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0
2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0
2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0
2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0
2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0
2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0
2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0
2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0
2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0
2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0
2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0
2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0
2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0
2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0
2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0
2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0
2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0
2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0
2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0
2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0
2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0
2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0
2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0
2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0
2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0
2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0
2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0
2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0
2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0
2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0
2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0
2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0
2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0
2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0
2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0
2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0
2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0
2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0
2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0
2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0
2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0
2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0
2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0
2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0
2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0
2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0
2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0
2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0
2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0
2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0
2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0
2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0
2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0
2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0
2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0
2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0
2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0
2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0
2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0
2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0
2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0
2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0
2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0
2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0
2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0
2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0
2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0
2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0
2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0
2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0
2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0
2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0
2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0
2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0
2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0
2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0
2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0
2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0
2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0
2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0
2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0
2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0
2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0
2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0
2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0
2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0
2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0
2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0
2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0
2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0
2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0
2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0
2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0
2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0
2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0
2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0
2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0
2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0
2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0
2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0
2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0
2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0
2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0
2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0
2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0
2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0
2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0
2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0
2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0
2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0
2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0
2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0
2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0
2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0
2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0
2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0
2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0
2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0
2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0
2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0
2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0
2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0
2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0
2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0
2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0
2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0
2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0
2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0
2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0
2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0
2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0
2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0
2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0
2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0
2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0
2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0
2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0
2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0
2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0
2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0
2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0
2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0
2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0
2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0
2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0
2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0
2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0
2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0
2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0
2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0
2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0
2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0
2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0
2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0
2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0
2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0
2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0
2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0
2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0
2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0
2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0
2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0
2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0
2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0
2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0
2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0
2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0
2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0
2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0
2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0
2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0
2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0
2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0
2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0
2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0
2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0
2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0
2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0
2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0
2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0
2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0
2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0
2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0
2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0
2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0
2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0
2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0
2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0
2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0
2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0
2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0
2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0
2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0
2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0
2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0
2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0
2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0


================================================
FILE: datas/2006-01-02-volume-min-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-02,09:01:00,3602.00,3603.00,3597.00,3599.00,5699,0
2006-01-02,09:02:00,3600.00,3601.00,3598.00,3599.00,894,0
2006-01-02,09:03:00,3599.00,3602.00,3598.00,3600.00,883,0
2006-01-02,09:04:00,3599.00,3599.00,3597.00,3597.00,726,0
2006-01-02,09:05:00,3597.00,3598.00,3596.00,3598.00,1085,0
2006-01-02,09:06:00,3598.00,3599.00,3597.00,3598.00,963,0
2006-01-02,09:07:00,3597.00,3599.00,3597.00,3598.00,1082,0
2006-01-02,09:08:00,3599.00,3599.00,3597.00,3599.00,350,0
2006-01-02,09:09:00,3599.00,3600.00,3599.00,3600.00,977,0
2006-01-02,09:10:00,3600.00,3601.00,3600.00,3601.00,476,0
2006-01-02,09:11:00,3600.00,3602.00,3600.00,3602.00,430,0
2006-01-02,09:12:00,3602.00,3604.00,3602.00,3602.00,901,0
2006-01-02,09:13:00,3602.00,3603.00,3602.00,3603.00,377,0
2006-01-02,09:14:00,3603.00,3604.00,3603.00,3603.00,408,0
2006-01-02,09:15:00,3604.00,3605.00,3604.00,3604.00,781,0
2006-01-02,09:16:00,3604.00,3604.00,3602.00,3602.00,1307,0
2006-01-02,09:17:00,3603.00,3604.00,3602.00,3603.00,889,0
2006-01-02,09:18:00,3603.00,3604.00,3602.00,3602.00,290,0
2006-01-02,09:19:00,3603.00,3604.00,3603.00,3604.00,224,0
2006-01-02,09:20:00,3603.00,3604.00,3603.00,3604.00,224,0
2006-01-02,09:21:00,3603.00,3605.00,3603.00,3604.00,329,0
2006-01-02,09:22:00,3604.00,3605.00,3604.00,3605.00,232,0
2006-01-02,09:23:00,3604.00,3605.00,3604.00,3604.00,775,0
2006-01-02,09:24:00,3605.00,3605.00,3604.00,3604.00,153,0
2006-01-02,09:25:00,3605.00,3605.00,3603.00,3604.00,415,0
2006-01-02,09:26:00,3604.00,3605.00,3603.00,3603.00,284,0
2006-01-02,09:27:00,3603.00,3604.00,3603.00,3603.00,154,0
2006-01-02,09:28:00,3603.00,3604.00,3603.00,3604.00,315,0
2006-01-02,09:29:00,3603.00,3604.00,3603.00,3604.00,31,0
2006-01-02,09:30:00,3604.00,3605.00,3603.00,3604.00,546,0
2006-01-02,09:31:00,3604.00,3606.00,3604.00,3606.00,438,0
2006-01-02,09:32:00,3605.00,3606.00,3605.00,3606.00,1266,0
2006-01-02,09:33:00,3606.00,3608.00,3606.00,3607.00,1415,0
2006-01-02,09:34:00,3607.00,3608.00,3607.00,3608.00,288,0
2006-01-02,09:35:00,3608.00,3612.00,3608.00,3612.00,2239,0
2006-01-02,09:36:00,3611.00,3614.00,3611.00,3614.00,2137,0
2006-01-02,09:37:00,3614.00,3616.00,3614.00,3616.00,1716,0
2006-01-02,09:38:00,3616.00,3617.00,3615.00,3616.00,1618,0
2006-01-02,09:39:00,3615.00,3616.00,3615.00,3615.00,715,0
2006-01-02,09:40:00,3616.00,3617.00,3616.00,3617.00,849,0
2006-01-02,09:41:00,3617.00,3618.00,3616.00,3618.00,977,0
2006-01-02,09:42:00,3618.00,3619.00,3617.00,3618.00,1135,0
2006-01-02,09:43:00,3618.00,3619.00,3618.00,3618.00,358,0
2006-01-02,09:44:00,3618.00,3619.00,3618.00,3618.00,328,0
2006-01-02,09:45:00,3618.00,3619.00,3617.00,3617.00,953,0
2006-01-02,09:46:00,3617.00,3618.00,3617.00,3617.00,1233,0
2006-01-02,09:47:00,3617.00,3617.00,3616.00,3617.00,282,0
2006-01-02,09:48:00,3617.00,3617.00,3616.00,3617.00,139,0
2006-01-02,09:49:00,3616.00,3616.00,3615.00,3616.00,288,0
2006-01-02,09:50:00,3616.00,3616.00,3615.00,3615.00,775,0
2006-01-02,09:51:00,3615.00,3616.00,3615.00,3615.00,242,0
2006-01-02,09:52:00,3615.00,3616.00,3615.00,3615.00,279,0
2006-01-02,09:53:00,3615.00,3615.00,3614.00,3614.00,459,0
2006-01-02,09:54:00,3615.00,3615.00,3614.00,3615.00,77,0
2006-01-02,09:55:00,3614.00,3615.00,3613.00,3614.00,758,0
2006-01-02,09:56:00,3613.00,3614.00,3613.00,3613.00,773,0
2006-01-02,09:57:00,3613.00,3613.00,3613.00,3613.00,351,0
2006-01-02,09:58:00,3612.00,3613.00,3612.00,3613.00,293,0
2006-01-02,09:59:00,3612.00,3612.00,3611.00,3612.00,907,0
2006-01-02,10:00:00,3612.00,3614.00,3612.00,3613.00,852,0
2006-01-02,10:01:00,3613.00,3615.00,3613.00,3614.00,554,0
2006-01-02,10:02:00,3614.00,3615.00,3614.00,3615.00,93,0
2006-01-02,10:03:00,3615.00,3615.00,3614.00,3615.00,542,0
2006-01-02,10:04:00,3615.00,3616.00,3615.00,3615.00,328,0
2006-01-02,10:05:00,3616.00,3616.00,3615.00,3615.00,142,0
2006-01-02,10:06:00,3615.00,3616.00,3615.00,3616.00,793,0
2006-01-02,10:07:00,3616.00,3616.00,3615.00,3616.00,326,0
2006-01-02,10:08:00,3616.00,3616.00,3614.00,3615.00,840,0
2006-01-02,10:09:00,3614.00,3615.00,3613.00,3614.00,868,0
2006-01-02,10:10:00,3614.00,3614.00,3613.00,3613.00,244,0
2006-01-02,10:11:00,3613.00,3614.00,3612.00,3613.00,107,0
2006-01-02,10:12:00,3612.00,3612.00,3612.00,3612.00,22,0
2006-01-02,10:13:00,3612.00,3613.00,3612.00,3613.00,39,0
2006-01-02,10:14:00,3612.00,3612.00,3612.00,3612.00,176,0
2006-01-02,10:15:00,3612.00,3612.00,3611.00,3612.00,399,0
2006-01-02,10:16:00,3612.00,3612.00,3612.00,3612.00,55,0
2006-01-02,10:17:00,3613.00,3613.00,3612.00,3613.00,26,0
2006-01-02,10:18:00,3612.00,3612.00,3612.00,3612.00,2,0
2006-01-02,10:19:00,3613.00,3614.00,3613.00,3614.00,1320,0
2006-01-02,10:20:00,3613.00,3614.00,3613.00,3613.00,371,0
2006-01-02,10:21:00,3613.00,3613.00,3613.00,3613.00,66,0
2006-01-02,10:22:00,3613.00,3614.00,3613.00,3614.00,580,0
2006-01-02,10:23:00,3615.00,3615.00,3615.00,3615.00,4,0
2006-01-02,10:24:00,3614.00,3615.00,3614.00,3615.00,14,0
2006-01-02,10:25:00,3614.00,3615.00,3613.00,3613.00,856,0
2006-01-02,10:26:00,3614.00,3614.00,3614.00,3614.00,47,0
2006-01-02,10:27:00,3614.00,3614.00,3613.00,3614.00,28,0
2006-01-02,10:28:00,3614.00,3614.00,3614.00,3614.00,25,0
2006-01-02,10:29:00,3613.00,3614.00,3613.00,3614.00,214,0
2006-01-02,10:30:00,3613.00,3614.00,3613.00,3614.00,112,0
2006-01-02,10:31:00,3614.00,3614.00,3614.00,3614.00,183,0
2006-01-02,10:34:00,3614.00,3614.00,3614.00,3614.00,841,0
2006-01-02,10:35:00,3614.00,3614.00,3614.00,3614.00,17,0
2006-01-02,10:36:00,3615.00,3615.00,3615.00,3615.00,2,0
2006-01-02,10:37:00,3615.00,3615.00,3615.00,3615.00,2,0
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2006-01-02,10:39:00,3615.00,3615.00,3614.00,3614.00,10,0
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2006-01-02,10:44:00,3615.00,3615.00,3615.00,3615.00,76,0
2006-01-02,10:45:00,3614.00,3615.00,3614.00,3615.00,292,0
2006-01-02,10:46:00,3615.00,3615.00,3615.00,3615.00,1,0
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2006-01-02,10:48:00,3614.00,3615.00,3614.00,3614.00,633,0
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2006-01-02,10:52:00,3615.00,3615.00,3614.00,3614.00,202,0
2006-01-02,10:53:00,3614.00,3614.00,3614.00,3614.00,80,0
2006-01-02,10:54:00,3613.00,3614.00,3613.00,3614.00,126,0
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2006-01-02,11:00:00,3613.00,3613.00,3613.00,3613.00,26,0
2006-01-02,11:01:00,3613.00,3613.00,3613.00,3613.00,314,0
2006-01-02,11:02:00,3612.00,3614.00,3612.00,3614.00,197,0
2006-01-02,11:03:00,3613.00,3613.00,3612.00,3613.00,363,0
2006-01-02,11:04:00,3613.00,3613.00,3612.00,3613.00,34,0
2006-01-02,11:05:00,3613.00,3613.00,3613.00,3613.00,60,0
2006-01-02,11:07:00,3613.00,3613.00,3613.00,3613.00,587,0
2006-01-02,11:08:00,3613.00,3613.00,3612.00,3612.00,15,0
2006-01-02,11:10:00,3612.00,3613.00,3612.00,3612.00,64,0
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2006-01-02,11:12:00,3612.00,3612.00,3612.00,3612.00,19,0
2006-01-02,11:13:00,3612.00,3612.00,3612.00,3612.00,25,0
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2006-01-02,11:15:00,3612.00,3612.00,3611.00,3611.00,604,0
2006-01-02,11:16:00,3611.00,3611.00,3610.00,3610.00,1069,0
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2006-01-02,11:18:00,3608.00,3608.00,3606.00,3606.00,1091,0
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2006-01-02,11:23:00,3606.00,3606.00,3605.00,3605.00,628,0
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2006-01-02,11:58:00,3613.00,3613.00,3612.00,3613.00,127,0
2006-01-02,11:59:00,3612.00,3612.00,3611.00,3612.00,196,0
2006-01-02,12:00:00,3612.00,3612.00,3611.00,3611.00,5,0
2006-01-02,12:01:00,3611.00,3612.00,3611.00,3612.00,399,0
2006-01-02,12:02:00,3612.00,3613.00,3612.00,3613.00,221,0
2006-01-02,12:03:00,3613.00,3613.00,3613.00,3613.00,3,0
2006-01-02,12:04:00,3613.00,3613.00,3612.00,3613.00,17,0
2006-01-02,12:05:00,3613.00,3613.00,3612.00,3612.00,6,0
2006-01-02,12:06:00,3613.00,3613.00,3612.00,3613.00,603,0
2006-01-02,12:07:00,3613.00,3613.00,3612.00,3612.00,7,0
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2006-01-02,12:09:00,3613.00,3613.00,3612.00,3612.00,1,0
2006-01-02,12:10:00,3612.00,3612.00,3612.00,3612.00,7,0
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2006-01-02,12:18:00,3614.00,3614.00,3614.00,3614.00,20,0
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2006-01-02,12:33:00,3614.00,3614.00,3613.00,3613.00,2,0
2006-01-02,12:34:00,3613.00,3613.00,3612.00,3613.00,163,0
2006-01-02,12:35:00,3613.00,3613.00,3613.00,3613.00,5,0
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2006-01-02,12:39:00,3612.00,3612.00,3612.00,3612.00,5,0
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2006-01-02,12:59:00,3610.00,3610.00,3610.00,3610.00,235,0
2006-01-02,13:01:00,3609.00,3610.00,3609.00,3610.00,54,0
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2006-01-02,13:03:00,3609.00,3609.00,3609.00,3609.00,4,0
2006-01-02,13:04:00,3610.00,3610.00,3610.00,3610.00,43,0
2006-01-02,13:05:00,3610.00,3610.00,3609.00,3609.00,46,0
2006-01-02,13:06:00,3609.00,3610.00,3609.00,3610.00,13,0
2006-01-02,13:07:00,3609.00,3610.00,3609.00,3610.00,10,0
2006-01-02,13:08:00,3609.00,3610.00,3609.00,3610.00,9,0
2006-01-02,13:09:00,3610.00,3610.00,3609.00,3610.00,67,0
2006-01-02,13:10:00,3610.00,3610.00,3609.00,3609.00,274,0
2006-01-02,13:11:00,3609.00,3609.00,3609.00,3609.00,111,0
2006-01-02,13:12:00,3609.00,3609.00,3609.00,3609.00,21,0
2006-01-02,13:14:00,3609.00,3609.00,3609.00,3609.00,14,0
2006-01-02,13:15:00,3609.00,3609.00,3609.00,3609.00,9,0
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2006-01-02,13:17:00,3610.00,3610.00,3608.00,3608.00,224,0
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2006-01-02,13:20:00,3608.00,3608.00,3608.00,3608.00,4,0
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2006-01-02,13:22:00,3609.00,3609.00,3609.00,3609.00,4,0
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2006-01-02,13:30:00,3610.00,3610.00,3609.00,3610.00,128,0
2006-01-02,13:31:00,3609.00,3610.00,3609.00,3610.00,6,0
2006-01-02,13:32:00,3610.00,3610.00,3609.00,3610.00,167,0
2006-01-02,13:33:00,3609.00,3609.00,3609.00,3609.00,135,0
2006-01-02,13:34:00,3609.00,3610.00,3609.00,3609.00,94,0
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2006-01-02,13:36:00,3609.00,3609.00,3609.00,3609.00,5,0
2006-01-02,13:37:00,3609.00,3609.00,3609.00,3609.00,140,0
2006-01-02,13:38:00,3610.00,3610.00,3610.00,3610.00,10,0
2006-01-02,13:39:00,3610.00,3610.00,3609.00,3610.00,150,0
2006-01-02,13:40:00,3609.00,3609.00,3607.00,3609.00,127,0
2006-01-02,13:41:00,3608.00,3609.00,3608.00,3608.00,64,0
2006-01-02,13:42:00,3608.00,3608.00,3608.00,3608.00,1,0
2006-01-02,13:43:00,3608.00,3609.00,3608.00,3608.00,83,0
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2006-01-02,14:01:00,3608.00,3608.00,3607.00,3608.00,330,0
2006-01-02,14:03:00,3608.00,3608.00,3607.00,3608.00,3,0
2006-01-02,14:04:00,3608.00,3608.00,3607.00,3607.00,18,0
2006-01-02,14:06:00,3608.00,3608.00,3607.00,3607.00,7,0
2006-01-02,14:07:00,3607.00,3607.00,3607.00,3607.00,210,0
2006-01-02,14:09:00,3606.00,3607.00,3606.00,3607.00,6,0
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2006-01-02,14:14:00,3607.00,3608.00,3607.00,3608.00,160,0
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2006-01-02,14:19:00,3608.00,3608.00,3608.00,3608.00,318,0
2006-01-02,14:20:00,3608.00,3608.00,3607.00,3608.00,113,0
2006-01-02,14:21:00,3608.00,3608.00,3607.00,3608.00,77,0
2006-01-02,14:22:00,3608.00,3608.00,3607.00,3608.00,21,0
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2006-01-02,14:25:00,3608.00,3608.00,3608.00,3608.00,2,0
2006-01-02,14:26:00,3608.00,3608.00,3607.00,3607.00,127,0
2006-01-02,14:27:00,3608.00,3608.00,3608.00,3608.00,34,0
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2006-01-02,14:29:00,3608.00,3608.00,3608.00,3608.00,53,0
2006-01-02,14:30:00,3608.00,3608.00,3607.00,3607.00,21,0
2006-01-02,14:31:00,3608.00,3608.00,3608.00,3608.00,26,0
2006-01-02,14:32:00,3608.00,3608.00,3608.00,3608.00,133,0
2006-01-02,14:33:00,3608.00,3608.00,3608.00,3608.00,27,0
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2006-01-16,10:39:00,3643.00,3644.00,3643.00,3644.00,13,0
2006-01-16,10:40:00,3644.00,3644.00,3643.00,3644.00,438,0
2006-01-16,10:41:00,3644.00,3644.00,3643.00,3644.00,218,0
2006-01-16,10:42:00,3644.00,3645.00,3644.00,3645.00,53,0
2006-01-16,10:43:00,3644.00,3644.00,3644.00,3644.00,28,0
2006-01-16,10:44:00,3644.00,3644.00,3644.00,3644.00,21,0
2006-01-16,10:45:00,3644.00,3645.00,3644.00,3644.00,627,0
2006-01-16,10:46:00,3644.00,3644.00,3644.00,3644.00,245,0
2006-01-16,10:47:00,3644.00,3644.00,3643.00,3643.00,32,0
2006-01-16,10:48:00,3644.00,3644.00,3643.00,3643.00,4,0
2006-01-16,10:49:00,3644.00,3644.00,3643.00,3643.00,4,0
2006-01-16,10:50:00,3644.00,3644.00,3643.00,3643.00,227,0
2006-01-16,10:51:00,3643.00,3644.00,3642.00,3643.00,549,0
2006-01-16,10:52:00,3642.00,3643.00,3642.00,3642.00,515,0
2006-01-16,10:53:00,3642.00,3643.00,3641.00,3641.00,415,0
2006-01-16,10:54:00,3642.00,3642.00,3641.00,3642.00,482,0
2006-01-16,10:55:00,3642.00,3642.00,3641.00,3641.00,70,0
2006-01-16,10:56:00,3641.00,3642.00,3641.00,3642.00,117,0
2006-01-16,10:57:00,3642.00,3642.00,3642.00,3642.00,28,0
2006-01-16,10:58:00,3642.00,3643.00,3642.00,3643.00,592,0
2006-01-16,10:59:00,3642.00,3642.00,3640.00,3641.00,1702,0
2006-01-16,11:00:00,3641.00,3641.00,3640.00,3641.00,18,0
2006-01-16,11:01:00,3641.00,3641.00,3640.00,3640.00,1400,0
2006-01-16,11:02:00,3640.00,3641.00,3640.00,3641.00,345,0
2006-01-16,11:03:00,3641.00,3641.00,3641.00,3641.00,24,0
2006-01-16,11:04:00,3642.00,3642.00,3641.00,3642.00,263,0
2006-01-16,11:05:00,3642.00,3642.00,3641.00,3641.00,379,0
2006-01-16,11:06:00,3641.00,3642.00,3641.00,3641.00,39,0
2006-01-16,11:07:00,3641.00,3642.00,3641.00,3641.00,5603,0
2006-01-16,11:08:00,3642.00,3642.00,3641.00,3641.00,71,0
2006-01-16,11:09:00,3641.00,3642.00,3641.00,3642.00,21,0
2006-01-16,11:10:00,3641.00,3642.00,3641.00,3642.00,559,0
2006-01-16,11:11:00,3642.00,3642.00,3641.00,3642.00,631,0
2006-01-16,11:12:00,3641.00,3642.00,3641.00,3642.00,785,0
2006-01-16,11:13:00,3642.00,3642.00,3642.00,3642.00,78,0
2006-01-16,11:14:00,3641.00,3642.00,3641.00,3641.00,25,0
2006-01-16,11:15:00,3641.00,3642.00,3641.00,3642.00,31,0
2006-01-16,11:16:00,3642.00,3642.00,3641.00,3642.00,77,0
2006-01-16,11:17:00,3642.00,3642.00,3642.00,3642.00,465,0
2006-01-16,11:18:00,3642.00,3642.00,3641.00,3642.00,513,0
2006-01-16,11:19:00,3642.00,3642.00,3641.00,3642.00,1229,0
2006-01-16,11:20:00,3642.00,3643.00,3642.00,3642.00,345,0
2006-01-16,11:21:00,3643.00,3643.00,3642.00,3642.00,1588,0
2006-01-16,11:22:00,3643.00,3643.00,3642.00,3642.00,1147,0
2006-01-16,11:23:00,3642.00,3643.00,3642.00,3643.00,35,0
2006-01-16,11:24:00,3643.00,3643.00,3642.00,3642.00,107,0
2006-01-16,11:25:00,3643.00,3643.00,3642.00,3643.00,453,0
2006-01-16,11:26:00,3643.00,3644.00,3643.00,3643.00,1815,0
2006-01-16,11:27:00,3643.00,3643.00,3642.00,3643.00,1383,0
2006-01-16,11:28:00,3643.00,3644.00,3643.00,3644.00,480,0
2006-01-16,11:29:00,3643.00,3644.00,3643.00,3644.00,39,0
2006-01-16,11:30:00,3643.00,3644.00,3643.00,3644.00,27,0
2006-01-16,11:31:00,3644.00,3645.00,3644.00,3645.00,1590,0
2006-01-16,11:32:00,3644.00,3645.00,3644.00,3645.00,774,0
2006-01-16,11:33:00,3644.00,3645.00,3644.00,3644.00,23,0
2006-01-16,11:34:00,3645.00,3645.00,3644.00,3644.00,4,0
2006-01-16,11:35:00,3644.00,3645.00,3644.00,3644.00,115,0
2006-01-16,11:36:00,3645.00,3646.00,3644.00,3646.00,1456,0
2006-01-16,11:37:00,3646.00,3647.00,3645.00,3646.00,2549,0
2006-01-16,11:38:00,3646.00,3646.00,3645.00,3645.00,1163,0
2006-01-16,11:39:00,3646.00,3646.00,3645.00,3645.00,129,0
2006-01-16,11:40:00,3646.00,3646.00,3645.00,3645.00,75,0
2006-01-16,11:41:00,3645.00,3646.00,3645.00,3645.00,753,0
2006-01-16,11:42:00,3645.00,3646.00,3645.00,3645.00,56,0
2006-01-16,11:43:00,3645.00,3646.00,3645.00,3646.00,62,0
2006-01-16,11:45:00,3646.00,3647.00,3646.00,3646.00,617,0
2006-01-16,11:46:00,3647.00,3647.00,3645.00,3646.00,1145,0
2006-01-16,11:47:00,3646.00,3647.00,3645.00,3645.00,133,0
2006-01-16,11:48:00,3645.00,3646.00,3645.00,3645.00,81,0
2006-01-16,11:49:00,3646.00,3646.00,3645.00,3646.00,334,0
2006-01-16,11:50:00,3646.00,3647.00,3645.00,3646.00,135,0
2006-01-16,11:51:00,3645.00,3646.00,3645.00,3646.00,92,0
2006-01-16,11:52:00,3645.00,3646.00,3645.00,3645.00,254,0
2006-01-16,11:53:00,3646.00,3646.00,3645.00,3645.00,35,0
2006-01-16,11:54:00,3646.00,3646.00,3645.00,3645.00,6,0
2006-01-16,11:55:00,3646.00,3646.00,3645.00,3645.00,16,0
2006-01-16,11:56:00,3645.00,3645.00,3644.00,3644.00,3498,0
2006-01-16,11:57:00,3644.00,3645.00,3644.00,3645.00,184,0
2006-01-16,11:58:00,3646.00,3646.00,3645.00,3645.00,80,0
2006-01-16,11:59:00,3646.00,3646.00,3645.00,3646.00,721,0
2006-01-16,12:00:00,3647.00,3648.00,3646.00,3648.00,1159,0
2006-01-16,12:01:00,3647.00,3648.00,3646.00,3646.00,741,0
2006-01-16,12:02:00,3647.00,3648.00,3646.00,3647.00,227,0
2006-01-16,12:03:00,3647.00,3647.00,3647.00,3647.00,224,0
2006-01-16,12:04:00,3647.00,3647.00,3646.00,3647.00,80,0
2006-01-16,12:05:00,3646.00,3647.00,3646.00,3647.00,26,0
2006-01-16,12:06:00,3646.00,3647.00,3646.00,3647.00,42,0
2006-01-16,12:07:00,3647.00,3647.00,3647.00,3647.00,255,0
2006-01-16,12:08:00,3647.00,3648.00,3646.00,3647.00,159,0
2006-01-16,12:09:00,3647.00,3647.00,3647.00,3647.00,30,0
2006-01-16,12:10:00,3647.00,3648.00,3646.00,3648.00,1258,0
2006-01-16,12:11:00,3647.00,3648.00,3647.00,3647.00,46,0
2006-01-16,12:12:00,3647.00,3647.00,3646.00,3646.00,232,0
2006-01-16,12:13:00,3647.00,3647.00,3646.00,3646.00,76,0
2006-01-16,12:14:00,3647.00,3647.00,3646.00,3646.00,32,0
2006-01-16,12:15:00,3647.00,3647.00,3646.00,3646.00,308,0
2006-01-16,12:16:00,3647.00,3647.00,3646.00,3646.00,5077,0
2006-01-16,12:17:00,3646.00,3646.00,3646.00,3646.00,16,0
2006-01-16,12:18:00,3647.00,3647.00,3646.00,3646.00,113,0
2006-01-16,12:19:00,3647.00,3648.00,3646.00,3647.00,554,0
2006-01-16,12:20:00,3648.00,3648.00,3647.00,3647.00,4,0
2006-01-16,12:21:00,3647.00,3647.00,3647.00,3647.00,1253,0
2006-01-16,12:22:00,3647.00,3647.00,3647.00,3647.00,162,0
2006-01-16,12:23:00,3647.00,3648.00,3647.00,3647.00,114,0
2006-01-16,12:24:00,3648.00,3648.00,3647.00,3647.00,60,0
2006-01-16,12:25:00,3647.00,3648.00,3647.00,3647.00,253,0
2006-01-16,12:26:00,3647.00,3648.00,3647.00,3647.00,35,0
2006-01-16,12:27:00,3647.00,3648.00,3647.00,3647.00,5,0
2006-01-16,12:28:00,3647.00,3648.00,3647.00,3647.00,65,0
2006-01-16,12:29:00,3647.00,3648.00,3647.00,3647.00,203,0
2006-01-16,12:30:00,3647.00,3647.00,3646.00,3647.00,523,0
2006-01-16,12:31:00,3647.00,3648.00,3646.00,3646.00,1629,0
2006-01-16,12:32:00,3647.00,3647.00,3646.00,3646.00,18,0
2006-01-16,12:33:00,3647.00,3648.00,3646.00,3646.00,111,0
2006-01-16,12:34:00,3647.00,3648.00,3646.00,3647.00,215,0
2006-01-16,12:35:00,3646.00,3646.00,3646.00,3646.00,1,0
2006-01-16,12:36:00,3647.00,3647.00,3646.00,3646.00,204,0
2006-01-16,12:37:00,3646.00,3647.00,3646.00,3647.00,745,0
2006-01-16,12:38:00,3647.00,3647.00,3646.00,3647.00,99,0
2006-01-16,12:39:00,3647.00,3647.00,3646.00,3647.00,13,0
2006-01-16,12:40:00,3646.00,3647.00,3646.00,3646.00,511,0
2006-01-16,12:41:00,3646.00,3647.00,3646.00,3646.00,36,0
2006-01-16,12:42:00,3647.00,3647.00,3646.00,3646.00,14,0
2006-01-16,12:44:00,3647.00,3647.00,3646.00,3646.00,2,0
2006-01-16,12:45:00,3646.00,3646.00,3646.00,3646.00,15,0
2006-01-16,12:46:00,3647.00,3647.00,3646.00,3646.00,33,0
2006-01-16,12:47:00,3647.00,3647.00,3646.00,3646.00,11,0
2006-01-16,12:48:00,3646.00,3646.00,3646.00,3646.00,517,0
2006-01-16,12:49:00,3647.00,3647.00,3646.00,3646.00,511,0
2006-01-16,12:50:00,3646.00,3647.00,3646.00,3647.00,20,0
2006-01-16,12:51:00,3647.00,3647.00,3646.00,3647.00,1519,0
2006-01-16,12:52:00,3647.00,3647.00,3646.00,3646.00,100,0
2006-01-16,12:53:00,3647.00,3647.00,3646.00,3647.00,20,0
2006-01-16,12:54:00,3647.00,3647.00,3646.00,3646.00,23,0
2006-01-16,12:55:00,3647.00,3647.00,3646.00,3646.00,19,0
2006-01-16,12:56:00,3647.00,3647.00,3646.00,3646.00,286,0
2006-01-16,12:57:00,3646.00,3646.00,3646.00,3646.00,81,0
2006-01-16,12:59:00,3647.00,3647.00,3646.00,3646.00,2,0
2006-01-16,13:00:00,3646.00,3647.00,3646.00,3647.00,36,0
2006-01-16,13:01:00,3646.00,3647.00,3646.00,3647.00,31,0
2006-01-16,13:02:00,3647.00,3648.00,3647.00,3647.00,515,0
2006-01-16,13:03:00,3647.00,3647.00,3647.00,3647.00,24,0
2006-01-16,13:04:00,3647.00,3648.00,3647.00,3648.00,26,0
2006-01-16,13:05:00,3648.00,3648.00,3648.00,3648.00,41,0
2006-01-16,13:06:00,3648.00,3648.00,3648.00,3648.00,2,0
2006-01-16,13:07:00,3647.00,3648.00,3647.00,3647.00,15,0
2006-01-16,13:09:00,3647.00,3648.00,3647.00,3648.00,5,0
2006-01-16,13:10:00,3648.00,3648.00,3647.00,3648.00,136,0
2006-01-16,13:11:00,3648.00,3649.00,3648.00,3648.00,1369,0
2006-01-16,13:12:00,3649.00,3649.00,3648.00,3648.00,162,0
2006-01-16,13:13:00,3648.00,3648.00,3647.00,3647.00,229,0
2006-01-16,13:14:00,3648.00,3648.00,3647.00,3648.00,261,0
2006-01-16,13:15:00,3648.00,3648.00,3648.00,3648.00,4,0
2006-01-16,13:17:00,3647.00,3648.00,3647.00,3647.00,834,0
2006-01-16,13:18:00,3648.00,3648.00,3648.00,3648.00,17,0
2006-01-16,13:19:00,3647.00,3648.00,3647.00,3647.00,363,0
2006-01-16,13:20:00,3647.00,3648.00,3646.00,3648.00,99,0
2006-01-16,13:21:00,3648.00,3648.00,3648.00,3648.00,21,0
2006-01-16,13:23:00,3647.00,3647.00,3646.00,3646.00,608,0
2006-01-16,13:24:00,3647.00,3648.00,3646.00,3648.00,907,0
2006-01-16,13:25:00,3647.00,3648.00,3647.00,3647.00,34,0
2006-01-16,13:26:00,3647.00,3648.00,3647.00,3647.00,29,0
2006-01-16,13:27:00,3647.00,3648.00,3647.00,3648.00,18,0
2006-01-16,13:28:00,3648.00,3648.00,3647.00,3647.00,151,0
2006-01-16,13:31:00,3647.00,3647.00,3647.00,3647.00,62,0
2006-01-16,13:32:00,3647.00,3647.00,3647.00,3647.00,28,0
2006-01-16,13:33:00,3648.00,3648.00,3647.00,3647.00,15,0
2006-01-16,13:34:00,3647.00,3648.00,3647.00,3648.00,12,0
2006-01-16,13:35:00,3647.00,3649.00,3647.00,3647.00,1433,0
2006-01-16,13:36:00,3647.00,3647.00,3647.00,3647.00,3,0
2006-01-16,13:37:00,3648.00,3648.00,3647.00,3648.00,17,0
2006-01-16,13:38:00,3648.00,3649.00,3648.00,3648.00,668,0
2006-01-16,13:39:00,3647.00,3647.00,3647.00,3647.00,3,0
2006-01-16,13:40:00,3647.00,3648.00,3647.00,3648.00,2,0
2006-01-16,13:42:00,3648.00,3648.00,3647.00,3647.00,205,0
2006-01-16,13:43:00,3648.00,3648.00,3648.00,3648.00,1,0
2006-01-16,13:45:00,3647.00,3647.00,3647.00,3647.00,6,0
2006-01-16,13:46:00,3648.00,3648.00,3648.00,3648.00,254,0
2006-01-16,13:47:00,3647.00,3648.00,3647.00,3648.00,15,0
2006-01-16,13:48:00,3648.00,3648.00,3648.00,3648.00,36,0
2006-01-16,13:49:00,3648.00,3648.00,3648.00,3648.00,30,0
2006-01-16,13:50:00,3648.00,3648.00,3647.00,3648.00,29,0
2006-01-16,13:51:00,3648.00,3648.00,3647.00,3648.00,25,0
2006-01-16,13:52:00,3647.00,3648.00,3647.00,3647.00,287,0
2006-01-16,13:53:00,3647.00,3648.00,3647.00,3647.00,116,0
2006-01-16,13:54:00,3648.00,3648.00,3648.00,3648.00,2,0
2006-01-16,13:55:00,3647.00,3648.00,3647.00,3648.00,84,0
2006-01-16,13:56:00,3647.00,3648.00,3647.00,3648.00,127,0
2006-01-16,13:57:00,3648.00,3648.00,3648.00,3648.00,1,0
2006-01-16,13:58:00,3648.00,3648.00,3648.00,3648.00,10,0
2006-01-16,13:59:00,3647.00,3647.00,3647.00,3647.00,145,0
2006-01-16,14:00:00,3647.00,3648.00,3647.00,3648.00,46,0
2006-01-16,14:01:00,3647.00,3648.00,3647.00,3647.00,25,0
2006-01-16,14:02:00,3648.00,3648.00,3647.00,3647.00,182,0
2006-01-16,14:03:00,3646.00,3647.00,3646.00,3647.00,190,0
2006-01-16,14:04:00,3647.00,3647.00,3647.00,3647.00,52,0
2006-01-16,14:05:00,3647.00,3648.00,3647.00,3648.00,22,0
2006-01-16,14:06:00,3648.00,3648.00,3647.00,3647.00,76,0
2006-01-16,14:07:00,3647.00,3647.00,3647.00,3647.00,42,0
2006-01-16,14:09:00,3647.00,3648.00,3647.00,3648.00,8,0
2006-01-16,14:10:00,3647.00,3648.00,3647.00,3647.00,12,0
2006-01-16,14:11:00,3647.00,3647.00,3647.00,3647.00,102,0
2006-01-16,14:12:00,3647.00,3647.00,3647.00,3647.00,1,0
2006-01-16,14:13:00,3648.00,3648.00,3648.00,3648.00,407,0
2006-01-16,14:14:00,3648.00,3648.00,3648.00,3648.00,1,0
2006-01-16,14:15:00,3647.00,3648.00,3647.00,3647.00,448,0
2006-01-16,14:16:00,3647.00,3647.00,3647.00,3647.00,41,0
2006-01-16,14:17:00,3647.00,3648.00,3647.00,3647.00,23,0
2006-01-16,14:18:00,3648.00,3648.00,3647.00,3647.00,23,0
2006-01-16,14:19:00,3647.00,3647.00,3647.00,3647.00,1,0
2006-01-16,14:20:00,3648.00,3648.00,3647.00,3647.00,35,0
2006-01-16,14:21:00,3648.00,3648.00,3647.00,3648.00,24,0
2006-01-16,14:22:00,3647.00,3648.00,3647.00,3648.00,3,0
2006-01-16,14:23:00,3648.00,3648.00,3648.00,3648.00,1,0
2006-01-16,14:24:00,3647.00,3648.00,3647.00,3648.00,11,0
2006-01-16,14:25:00,3648.00,3648.00,3648.00,3648.00,5,0
2006-01-16,14:26:00,3648.00,3648.00,3647.00,3647.00,57,0
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2006-01-16,14:28:00,3647.00,3648.00,3647.00,3647.00,128,0
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2006-02-27,19:06:00,3843.00,3844.00,3843.00,3844.00,12,0
2006-02-27,19:07:00,3844.00,3845.00,3844.00,3845.00,96,0
2006-02-27,19:08:00,3844.00,3844.00,3844.00,3844.00,10,0
2006-02-27,19:09:00,3844.00,3844.00,3843.00,3844.00,15,0
2006-02-27,19:10:00,3843.00,3844.00,3843.00,3844.00,13,0
2006-02-27,19:11:00,3844.00,3844.00,3844.00,3844.00,304,0
2006-02-27,19:12:00,3843.00,3843.00,3843.00,3843.00,39,0
2006-02-27,19:13:00,3843.00,3843.00,3843.00,3843.00,51,0
2006-02-27,19:14:00,3844.00,3844.00,3844.00,3844.00,227,0
2006-02-27,19:15:00,3844.00,3844.00,3844.00,3844.00,51,0
2006-02-27,19:16:00,3844.00,3844.00,3843.00,3844.00,3,0
2006-02-27,19:17:00,3843.00,3844.00,3843.00,3844.00,263,0
2006-02-27,19:18:00,3844.00,3844.00,3844.00,3844.00,2,0
2006-02-27,19:19:00,3843.00,3844.00,3842.00,3844.00,94,0
2006-02-27,19:21:00,3843.00,3843.00,3842.00,3843.00,114,0
2006-02-27,19:22:00,3842.00,3842.00,3842.00,3842.00,16,0
2006-02-27,19:23:00,3842.00,3842.00,3842.00,3842.00,80,0
2006-02-27,19:24:00,3842.00,3842.00,3840.00,3841.00,748,0
2006-02-27,19:25:00,3841.00,3841.00,3841.00,3841.00,51,0
2006-02-27,19:26:00,3841.00,3841.00,3840.00,3841.00,305,0
2006-02-27,19:27:00,3841.00,3842.00,3841.00,3841.00,310,0
2006-02-27,19:28:00,3842.00,3842.00,3842.00,3842.00,135,0
2006-02-27,19:29:00,3842.00,3842.00,3842.00,3842.00,5,0
2006-02-27,19:30:00,3842.00,3842.00,3841.00,3841.00,359,0
2006-02-27,19:31:00,3842.00,3842.00,3842.00,3842.00,17,0
2006-02-27,19:32:00,3841.00,3841.00,3841.00,3841.00,10,0
2006-02-27,19:33:00,3842.00,3842.00,3842.00,3842.00,6,0
2006-02-27,19:34:00,3842.00,3842.00,3842.00,3842.00,502,0
2006-02-27,19:35:00,3842.00,3842.00,3842.00,3842.00,96,0
2006-02-27,19:36:00,3843.00,3843.00,3842.00,3842.00,89,0
2006-02-27,19:37:00,3842.00,3842.00,3842.00,3842.00,33,0
2006-02-27,19:38:00,3842.00,3842.00,3842.00,3842.00,39,0
2006-02-27,19:39:00,3842.00,3842.00,3842.00,3842.00,31,0
2006-02-27,19:40:00,3842.00,3842.00,3842.00,3842.00,59,0
2006-02-27,19:41:00,3842.00,3842.00,3841.00,3842.00,163,0
2006-02-27,19:42:00,3842.00,3842.00,3841.00,3841.00,143,0
2006-02-27,19:43:00,3842.00,3842.00,3842.00,3842.00,1,0
2006-02-27,19:45:00,3841.00,3842.00,3841.00,3842.00,45,0
2006-02-27,19:46:00,3841.00,3841.00,3841.00,3841.00,32,0
2006-02-27,19:48:00,3841.00,3843.00,3841.00,3843.00,57,0
2006-02-27,19:49:00,3843.00,3843.00,3843.00,3843.00,2,0
2006-02-27,19:50:00,3843.00,3843.00,3843.00,3843.00,6,0
2006-02-27,19:52:00,3843.00,3843.00,3843.00,3843.00,225,0
2006-02-27,19:53:00,3843.00,3844.00,3843.00,3844.00,39,0
2006-02-27,19:54:00,3844.00,3845.00,3844.00,3845.00,61,0
2006-02-27,19:55:00,3845.00,3845.00,3845.00,3845.00,131,0
2006-02-27,19:56:00,3845.00,3845.00,3844.00,3844.00,25,0
2006-02-27,19:57:00,3844.00,3844.00,3843.00,3843.00,122,0
2006-02-27,19:58:00,3844.00,3844.00,3844.00,3844.00,8,0
2006-02-27,19:59:00,3844.00,3844.00,3844.00,3844.00,4,0
2006-02-27,20:00:00,3844.00,3844.00,3844.00,3844.00,10,0
2006-02-27,20:01:00,3844.00,3845.00,3844.00,3845.00,259,0
2006-02-27,20:02:00,3845.00,3846.00,3845.00,3845.00,129,0
2006-02-27,20:03:00,3844.00,3844.00,3844.00,3844.00,57,0
2006-02-27,20:05:00,3844.00,3844.00,3843.00,3843.00,59,0
2006-02-27,20:06:00,3843.00,3843.00,3843.00,3843.00,113,0
2006-02-27,20:08:00,3843.00,3844.00,3843.00,3843.00,383,0
2006-02-27,20:09:00,3842.00,3842.00,3842.00,3842.00,182,0
2006-02-27,20:10:00,3841.00,3841.00,3840.00,3841.00,272,0
2006-02-27,20:11:00,3841.00,3841.00,3839.00,3840.00,393,0
2006-02-27,20:12:00,3839.00,3839.00,3839.00,3839.00,61,0
2006-02-27,20:13:00,3839.00,3839.00,3839.00,3839.00,1,0
2006-02-27,20:14:00,3840.00,3840.00,3840.00,3840.00,185,0
2006-02-27,20:15:00,3840.00,3840.00,3839.00,3840.00,218,0
2006-02-27,20:16:00,3840.00,3840.00,3840.00,3840.00,1,0
2006-02-27,20:17:00,3840.00,3840.00,3839.00,3840.00,272,0
2006-02-27,20:18:00,3840.00,3840.00,3840.00,3840.00,109,0
2006-02-27,20:19:00,3840.00,3840.00,3840.00,3840.00,166,0
2006-02-27,20:20:00,3840.00,3840.00,3840.00,3840.00,96,0
2006-02-27,20:21:00,3840.00,3841.00,3840.00,3841.00,105,0
2006-02-27,20:22:00,3840.00,3840.00,3840.00,3840.00,165,0
2006-02-27,20:23:00,3840.00,3840.00,3839.00,3839.00,61,0
2006-02-27,20:24:00,3840.00,3840.00,3840.00,3840.00,1,0
2006-02-27,20:25:00,3839.00,3841.00,3839.00,3841.00,132,0
2006-02-27,20:26:00,3840.00,3840.00,3840.00,3840.00,125,0
2006-02-27,20:27:00,3841.00,3841.00,3841.00,3841.00,57,0
2006-02-27,20:30:00,3841.00,3841.00,3841.00,3841.00,45,0
2006-02-27,20:31:00,3842.00,3843.00,3842.00,3843.00,44,0
2006-02-27,20:32:00,3843.00,3843.00,3842.00,3842.00,56,0
2006-02-27,20:33:00,3842.00,3842.00,3842.00,3842.00,27,0
2006-02-27,20:34:00,3842.00,3842.00,3842.00,3842.00,42,0
2006-02-27,20:35:00,3842.00,3842.00,3842.00,3842.00,46,0
2006-02-27,20:36:00,3842.00,3842.00,3842.00,3842.00,10,0
2006-02-27,20:37:00,3842.00,3842.00,3842.00,3842.00,2,0
2006-02-27,20:39:00,3842.00,3842.00,3842.00,3842.00,10,0
2006-02-27,20:40:00,3843.00,3843.00,3842.00,3842.00,38,0
2006-02-27,20:41:00,3841.00,3842.00,3841.00,3842.00,36,0
2006-02-27,20:42:00,3843.00,3843.00,3843.00,3843.00,25,0
2006-02-27,20:44:00,3843.00,3843.00,3842.00,3842.00,11,0
2006-02-27,20:48:00,3843.00,3843.00,3843.00,3843.00,37,0
2006-02-27,20:49:00,3844.00,3844.00,3844.00,3844.00,82,0
2006-02-27,20:50:00,3844.00,3844.00,3843.00,3843.00,38,0
2006-02-27,20:51:00,3843.00,3843.00,3843.00,3843.00,1,0
2006-02-27,20:52:00,3843.00,3843.00,3843.00,3843.00,27,0
2006-02-27,20:53:00,3843.00,3844.00,3842.00,3843.00,35,0
2006-02-27,20:54:00,3842.00,3842.00,3842.00,3842.00,1,0
2006-02-27,20:55:00,3843.00,3843.00,3842.00,3842.00,97,0
2006-02-27,20:56:00,3842.00,3843.00,3842.00,3843.00,2,0
2006-02-27,20:57:00,3842.00,3843.00,3842.00,3843.00,2,0
2006-02-27,20:58:00,3843.00,3843.00,3843.00,3843.00,40,0
2006-02-27,20:59:00,3844.00,3845.00,3843.00,3844.00,77,0
2006-02-27,21:00:00,3844.00,3844.00,3844.00,3844.00,45,0
2006-02-27,21:01:00,3844.00,3844.00,3844.00,3844.00,5,0
2006-02-27,21:02:00,3845.00,3846.00,3845.00,3845.00,137,0
2006-02-27,21:03:00,3845.00,3845.00,3845.00,3845.00,129,0
2006-02-27,21:04:00,3845.00,3845.00,3845.00,3845.00,3,0
2006-02-27,21:05:00,3845.00,3845.00,3845.00,3845.00,5,0
2006-02-27,21:06:00,3845.00,3845.00,3845.00,3845.00,20,0
2006-02-27,21:07:00,3845.00,3845.00,3845.00,3845.00,22,0
2006-02-27,21:08:00,3845.00,3846.00,3845.00,3846.00,88,0
2006-02-27,21:09:00,3846.00,3846.00,3846.00,3846.00,247,0
2006-02-27,21:10:00,3845.00,3845.00,3845.00,3845.00,96,0
2006-02-27,21:11:00,3845.00,3845.00,3845.00,3845.00,1,0
2006-02-27,21:14:00,3844.00,3844.00,3844.00,3844.00,2,0
2006-02-27,21:15:00,3844.00,3844.00,3844.00,3844.00,30,0
2006-02-27,21:16:00,3844.00,3844.00,3844.00,3844.00,1,0
2006-02-27,21:18:00,3844.00,3844.00,3844.00,3844.00,25,0
2006-02-27,21:19:00,3844.00,3844.00,3844.00,3844.00,1,0
2006-02-27,21:20:00,3844.00,3844.00,3844.00,3844.00,11,0
2006-02-27,21:21:00,3845.00,3845.00,3844.00,3844.00,8,0
2006-02-27,21:23:00,3843.00,3844.00,3843.00,3844.00,7,0
2006-02-27,21:24:00,3844.00,3844.00,3844.00,3844.00,2,0
2006-02-27,21:27:00,3844.00,3844.00,3844.00,3844.00,55,0
2006-02-27,21:28:00,3845.00,3845.00,3845.00,3845.00,52,0
2006-02-27,21:29:00,3845.00,3845.00,3844.00,3845.00,12,0
2006-02-27,21:30:00,3844.00,3844.00,3843.00,3844.00,16,0
2006-02-27,21:31:00,3845.00,3845.00,3845.00,3845.00,170,0
2006-02-27,21:32:00,3845.00,3845.00,3845.00,3845.00,50,0
2006-02-27,21:33:00,3845.00,3846.00,3845.00,3845.00,10,0
2006-02-27,21:34:00,3845.00,3845.00,3845.00,3845.00,9,0
2006-02-27,21:35:00,3844.00,3844.00,3843.00,3843.00,33,0
2006-02-27,21:36:00,3843.00,3843.00,3843.00,3843.00,6,0
2006-02-27,21:37:00,3844.00,3844.00,3844.00,3844.00,5,0
2006-02-27,21:39:00,3843.00,3843.00,3842.00,3842.00,62,0
2006-02-27,21:40:00,3842.00,3842.00,3842.00,3842.00,55,0
2006-02-27,21:41:00,3843.00,3843.00,3842.00,3843.00,127,0
2006-02-27,21:42:00,3843.00,3843.00,3843.00,3843.00,30,0
2006-02-27,21:45:00,3843.00,3843.00,3842.00,3842.00,141,0
2006-02-27,21:46:00,3842.00,3842.00,3841.00,3842.00,32,0
2006-02-27,21:47:00,3842.00,3842.00,3841.00,3842.00,25,0
2006-02-27,21:48:00,3842.00,3842.00,3842.00,3842.00,16,0
2006-02-27,21:49:00,3842.00,3842.00,3842.00,3842.00,9,0
2006-02-27,21:51:00,3842.00,3842.00,3842.00,3842.00,32,0
2006-02-27,21:52:00,3842.00,3842.00,3841.00,3841.00,50,0
2006-02-27,21:53:00,3841.00,3841.00,3841.00,3841.00,92,0
2006-02-27,21:54:00,3842.00,3842.00,3841.00,3841.00,212,0
2006-02-27,21:55:00,3841.00,3841.00,3840.00,3840.00,266,0
2006-02-27,21:56:00,3840.00,3841.00,3840.00,3841.00,46,0
2006-02-27,21:57:00,3841.00,3841.00,3841.00,3841.00,25,0
2006-02-27,21:58:00,3841.00,3841.00,3840.00,3841.00,186,0
2006-02-27,21:59:00,3841.00,3841.00,3840.00,3840.00,120,0
2006-02-27,22:00:00,3840.00,3840.00,3838.00,3838.00,327,0


================================================
FILE: datas/2006-day-001-optix.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest,Optix_Close,Optix_Pess,Optix_Opt
2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0,1.1,2.2,3.3
2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0,1.1,2.2,3.3
2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0,1.1,2.2,3.3
2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0,1.1,2.2,3.3
2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0,1.1,2.2,3.3
2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0,1.1,2.2,3.3
2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0,1.1,2.2,3.3
2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0,1.1,2.2,3.3
2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0,1.1,2.2,3.3
2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0,1.1,2.2,3.3
2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0,1.1,2.2,3.3
2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0,1.1,2.2,3.3
2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0,1.1,2.2,3.3
2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0,1.1,2.2,3.3
2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0,1.1,2.2,3.3
2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0,1.1,2.2,3.3
2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0,1.1,2.2,3.3
2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0,1.1,2.2,3.3
2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0,1.1,2.2,3.3
2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0,1.1,2.2,3.3
2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0,1.1,2.2,3.3
2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0,1.1,2.2,3.3
2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0,1.1,2.2,3.3
2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0,1.1,2.2,3.3
2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0,1.1,2.2,3.3
2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0,1.1,2.2,3.3
2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0,1.1,2.2,3.3
2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0,1.1,2.2,3.3
2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0,1.1,2.2,3.3
2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0,1.1,2.2,3.3
2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0,1.1,2.2,3.3
2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0,1.1,2.2,3.3
2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0,1.1,2.2,3.3
2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0,1.1,2.2,3.3
2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0,1.1,2.2,3.3
2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0,1.1,2.2,3.3
2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0,1.1,2.2,3.3
2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0,1.1,2.2,3.3
2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0,1.1,2.2,3.3
2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0,1.1,2.2,3.3
2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0,1.1,2.2,3.3
2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0,1.1,2.2,3.3
2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0,1.1,2.2,3.3
2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0,1.1,2.2,3.3
2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0,1.1,2.2,3.3
2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0,1.1,2.2,3.3
2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0,1.1,2.2,3.3
2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0,1.1,2.2,3.3
2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0,1.1,2.2,3.3
2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0,1.1,2.2,3.3
2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0,1.1,2.2,3.3
2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0,1.1,2.2,3.3
2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0,1.1,2.2,3.3
2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0,1.1,2.2,3.3
2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0,1.1,2.2,3.3
2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0,1.1,2.2,3.3
2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0,1.1,2.2,3.3
2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0,1.1,2.2,3.3
2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0,1.1,2.2,3.3
2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0,1.1,2.2,3.3
2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0,1.1,2.2,3.3
2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0,1.1,2.2,3.3
2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0,1.1,2.2,3.3
2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0,1.1,2.2,3.3
2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0,1.1,2.2,3.3
2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0,1.1,2.2,3.3
2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0,1.1,2.2,3.3
2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0,1.1,2.2,3.3
2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0,1.1,2.2,3.3
2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0,1.1,2.2,3.3
2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0,1.1,2.2,3.3
2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0,1.1,2.2,3.3
2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0,1.1,2.2,3.3
2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0,1.1,2.2,3.3
2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0,1.1,2.2,3.3
2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0,1.1,2.2,3.3
2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0,1.1,2.2,3.3
2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0,1.1,2.2,3.3
2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0,1.1,2.2,3.3
2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0,1.1,2.2,3.3
2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0,1.1,2.2,3.3
2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0,1.1,2.2,3.3
2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0,1.1,2.2,3.3
2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0,1.1,2.2,3.3
2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0,1.1,2.2,3.3
2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0,1.1,2.2,3.3
2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0,1.1,2.2,3.3
2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0,1.1,2.2,3.3
2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0,1.1,2.2,3.3
2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0,1.1,2.2,3.3
2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0,1.1,2.2,3.3
2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0,1.1,2.2,3.3
2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0,1.1,2.2,3.3
2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0,1.1,2.2,3.3
2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0,1.1,2.2,3.3
2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0,1.1,2.2,3.3
2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0,1.1,2.2,3.3
2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0,1.1,2.2,3.3
2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0,1.1,2.2,3.3
2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0,1.1,2.2,3.3
2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0,1.1,2.2,3.3
2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0,1.1,2.2,3.3
2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0,1.1,2.2,3.3
2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0,1.1,2.2,3.3
2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0,1.1,2.2,3.3
2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0,1.1,2.2,3.3
2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0,1.1,2.2,3.3
2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0,1.1,2.2,3.3
2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0,1.1,2.2,3.3
2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0,1.1,2.2,3.3
2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0,1.1,2.2,3.3
2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0,1.1,2.2,3.3
2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0,1.1,2.2,3.3
2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0,1.1,2.2,3.3
2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0,1.1,2.2,3.3
2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0,1.1,2.2,3.3
2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0,1.1,2.2,3.3
2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0,1.1,2.2,3.3
2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0,1.1,2.2,3.3
2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0,1.1,2.2,3.3
2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0,1.1,2.2,3.3
2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0,1.1,2.2,3.3
2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0,1.1,2.2,3.3
2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0,1.1,2.2,3.3
2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0,1.1,2.2,3.3
2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0,1.1,2.2,3.3
2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0,1.1,2.2,3.3
2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0,1.1,2.2,3.3
2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0,1.1,2.2,3.3
2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0,1.1,2.2,3.3
2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0,1.1,2.2,3.3
2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0,1.1,2.2,3.3
2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0,1.1,2.2,3.3
2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0,1.1,2.2,3.3
2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0,1.1,2.2,3.3
2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0,1.1,2.2,3.3
2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0,1.1,2.2,3.3
2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0,1.1,2.2,3.3
2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0,1.1,2.2,3.3
2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0,1.1,2.2,3.3
2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0,1.1,2.2,3.3
2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0,1.1,2.2,3.3
2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0,1.1,2.2,3.3
2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0,1.1,2.2,3.3
2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0,1.1,2.2,3.3
2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0,1.1,2.2,3.3
2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0,1.1,2.2,3.3
2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0,1.1,2.2,3.3
2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0,1.1,2.2,3.3
2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0,1.1,2.2,3.3
2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0,1.1,2.2,3.3
2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0,1.1,2.2,3.3
2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0,1.1,2.2,3.3
2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0,1.1,2.2,3.3
2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0,1.1,2.2,3.3
2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0,1.1,2.2,3.3
2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0,1.1,2.2,3.3
2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0,1.1,2.2,3.3
2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0,1.1,2.2,3.3
2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0,1.1,2.2,3.3
2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0,1.1,2.2,3.3
2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0,1.1,2.2,3.3
2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0,1.1,2.2,3.3
2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0,1.1,2.2,3.3
2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0,1.1,2.2,3.3
2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0,1.1,2.2,3.3
2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0,1.1,2.2,3.3
2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0,1.1,2.2,3.3
2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0,1.1,2.2,3.3
2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0,1.1,2.2,3.3
2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0,1.1,2.2,3.3
2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0,1.1,2.2,3.3
2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0,1.1,2.2,3.3
2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0,1.1,2.2,3.3
2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0,1.1,2.2,3.3
2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0,1.1,2.2,3.3
2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0,1.1,2.2,3.3
2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0,1.1,2.2,3.3
2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0,1.1,2.2,3.3
2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0,1.1,2.2,3.3
2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0,1.1,2.2,3.3
2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0,1.1,2.2,3.3
2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0,1.1,2.2,3.3
2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0,1.1,2.2,3.3
2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0,1.1,2.2,3.3
2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0,1.1,2.2,3.3
2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0,1.1,2.2,3.3
2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0,1.1,2.2,3.3
2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0,1.1,2.2,3.3
2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0,1.1,2.2,3.3
2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0,1.1,2.2,3.3
2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0,1.1,2.2,3.3
2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0,1.1,2.2,3.3
2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0,1.1,2.2,3.3
2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0,1.1,2.2,3.3
2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0,1.1,2.2,3.3
2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0,1.1,2.2,3.3
2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0,1.1,2.2,3.3
2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0,1.1,2.2,3.3
2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0,1.1,2.2,3.3
2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0,1.1,2.2,3.3
2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0,1.1,2.2,3.3
2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0,1.1,2.2,3.3
2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0,1.1,2.2,3.3
2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0,1.1,2.2,3.3
2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0,1.1,2.2,3.3
2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0,1.1,2.2,3.3
2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0,1.1,2.2,3.3
2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0,1.1,2.2,3.3
2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0,1.1,2.2,3.3
2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0,1.1,2.2,3.3
2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0,1.1,2.2,3.3
2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0,1.1,2.2,3.3
2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0,1.1,2.2,3.3
2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0,1.1,2.2,3.3
2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0,1.1,2.2,3.3
2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0,1.1,2.2,3.3
2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0,1.1,2.2,3.3
2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0,1.1,2.2,3.3
2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0,1.1,2.2,3.3
2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0,1.1,2.2,3.3
2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0,1.1,2.2,3.3
2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0,1.1,2.2,3.3
2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0,1.1,2.2,3.3
2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0,1.1,2.2,3.3
2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0,1.1,2.2,3.3
2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0,1.1,2.2,3.3
2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0,1.1,2.2,3.3
2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0,1.1,2.2,3.3
2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0,1.1,2.2,3.3
2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0,1.1,2.2,3.3
2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0,1.1,2.2,3.3
2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0,1.1,2.2,3.3
2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0,1.1,2.2,3.3
2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0,1.1,2.2,3.3
2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0,1.1,2.2,3.3
2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0,1.1,2.2,3.3
2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0,1.1,2.2,3.3
2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0,1.1,2.2,3.3
2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0,1.1,2.2,3.3
2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0,1.1,2.2,3.3
2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0,1.1,2.2,3.3
2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0,1.1,2.2,3.3
2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0,1.1,2.2,3.3
2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0,1.1,2.2,3.3
2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0,1.1,2.2,3.3
2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0,1.1,2.2,3.3
2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0,1.1,2.2,3.3
2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0,1.1,2.2,3.3
2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0,1.1,2.2,3.3
2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0,1.1,2.2,3.3
2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0,1.1,2.2,3.3
2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0,1.1,2.2,3.3
2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0,1.1,2.2,3.3
2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0,1.1,2.2,3.3


================================================
FILE: datas/2006-day-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-02,3578.73,3605.95,3578.73,3604.33,0,0
2006-01-03,3604.08,3638.42,3601.84,3614.34,0,0
2006-01-04,3615.23,3652.46,3615.23,3652.46,0,0
2006-01-05,3652.19,3661.65,3643.17,3650.24,0,0
2006-01-06,3650.54,3666.99,3647.66,3666.99,0,0
2006-01-09,3667.10,3685.99,3667.10,3671.78,0,0
2006-01-10,3671.23,3671.23,3638.77,3644.94,0,0
2006-01-11,3645.73,3674.31,3645.73,3668.61,0,0
2006-01-12,3667.16,3676.00,3656.99,3670.20,0,0
2006-01-13,3670.27,3670.27,3618.06,3629.25,0,0
2006-01-16,3628.73,3649.10,3621.03,3644.41,0,0
2006-01-17,3639.57,3639.57,3606.54,3610.07,0,0
2006-01-18,3609.34,3609.34,3550.16,3570.17,0,0
2006-01-19,3572.19,3597.34,3572.19,3593.22,0,0
2006-01-20,3593.16,3612.37,3550.80,3550.80,0,0
2006-01-23,3550.24,3550.24,3515.07,3544.31,0,0
2006-01-24,3544.78,3553.16,3526.37,3532.68,0,0
2006-01-25,3532.72,3578.00,3532.72,3578.00,0,0
2006-01-26,3578.92,3641.42,3577.98,3641.42,0,0
2006-01-27,3643.35,3685.48,3643.35,3685.48,0,0
2006-01-30,3684.38,3685.65,3664.45,3677.52,0,0
2006-01-31,3676.71,3707.63,3671.67,3691.41,0,0
2006-02-01,3686.16,3728.80,3674.89,3728.25,0,0
2006-02-02,3728.92,3745.14,3677.05,3677.05,0,0
2006-02-03,3677.05,3696.00,3652.76,3678.48,0,0
2006-02-06,3678.87,3704.17,3672.53,3682.32,0,0
2006-02-07,3682.97,3698.63,3656.20,3680.80,0,0
2006-02-08,3680.05,3680.05,3637.93,3671.37,0,0
2006-02-09,3672.34,3726.81,3672.34,3726.81,0,0
2006-02-10,3725.18,3735.14,3692.63,3695.63,0,0
2006-02-13,3696.09,3727.46,3684.83,3727.46,0,0
2006-02-14,3728.16,3744.66,3707.25,3734.48,0,0
2006-02-15,3733.97,3749.36,3720.41,3729.79,0,0
2006-02-16,3730.82,3756.47,3730.82,3756.47,0,0
2006-02-17,3757.34,3777.16,3749.94,3767.70,0,0
2006-02-20,3767.11,3769.16,3749.88,3766.74,0,0
2006-02-21,3767.21,3800.78,3767.21,3779.51,0,0
2006-02-22,3778.02,3818.48,3771.06,3818.48,0,0
2006-02-23,3819.56,3831.16,3796.21,3813.29,0,0
2006-02-24,3812.76,3826.00,3805.55,3826.00,0,0
2006-02-27,3828.99,3840.56,3819.65,3840.56,0,0
2006-02-28,3840.31,3840.31,3769.25,3774.51,0,0
2006-03-01,3775.23,3806.34,3772.49,3806.03,0,0
2006-03-02,3807.30,3820.55,3745.46,3763.73,0,0
2006-03-03,3763.95,3774.03,3715.35,3733.95,0,0
2006-03-06,3737.58,3766.47,3737.58,3754.07,0,0
2006-03-07,3751.30,3751.30,3719.92,3745.20,0,0
2006-03-08,3745.10,3757.16,3702.04,3727.96,0,0
2006-03-09,3736.61,3765.56,3736.61,3757.59,0,0
2006-03-10,3754.13,3798.46,3741.51,3798.46,0,0
2006-03-13,3801.03,3827.45,3801.03,3824.97,0,0
2006-03-14,3823.18,3833.48,3808.96,3833.48,0,0
2006-03-15,3834.11,3853.33,3834.11,3842.16,0,0
2006-03-16,3844.15,3847.88,3822.56,3839.71,0,0
2006-03-17,3840.20,3874.64,3820.50,3832.43,0,0
2006-03-20,3833.25,3863.95,3833.11,3842.03,0,0
2006-03-21,3842.49,3848.17,3811.02,3848.17,0,0
2006-03-22,3840.27,3872.62,3827.40,3868.48,0,0
2006-03-23,3869.22,3878.49,3850.46,3860.13,0,0
2006-03-24,3859.58,3875.01,3853.43,3870.89,0,0
2006-03-27,3872.28,3872.28,3826.49,3828.53,0,0
2006-03-28,3829.82,3846.52,3799.04,3811.45,0,0
2006-03-29,3811.85,3830.70,3799.12,3826.30,0,0
2006-03-30,3835.21,3881.69,3835.21,3874.61,0,0
2006-03-31,3872.37,3872.37,3840.64,3853.74,0,0
2006-04-03,3859.99,3881.11,3857.23,3878.64,0,0
2006-04-04,3875.08,3875.08,3843.18,3850.11,0,0
2006-04-05,3853.28,3865.82,3835.35,3863.92,0,0
2006-04-06,3866.01,3879.70,3848.73,3861.29,0,0
2006-04-07,3860.03,3874.59,3822.26,3823.11,0,0
2006-04-10,3822.35,3843.52,3813.80,3843.52,0,0
2006-04-11,3840.89,3843.62,3781.99,3788.81,0,0
2006-04-12,3786.93,3791.15,3753.47,3776.94,0,0
2006-04-13,3777.24,3787.52,3755.69,3779.94,0,0
2006-04-18,3779.23,3779.23,3749.71,3770.79,0,0
2006-04-19,3778.46,3825.18,3778.46,3820.96,0,0
2006-04-20,3820.93,3878.29,3820.93,3860.00,0,0
2006-04-21,3863.57,3892.35,3863.57,3888.46,0,0
2006-04-24,3884.57,3884.57,3858.67,3862.27,0,0
2006-04-25,3864.64,3888.65,3860.61,3871.09,0,0
2006-04-26,3873.67,3892.16,3873.06,3887.00,0,0
2006-04-27,3889.43,3889.43,3832.10,3865.42,0,0
2006-04-28,3865.91,3865.91,3833.74,3839.90,0,0
2006-05-02,3839.24,3864.19,3830.96,3862.24,0,0
2006-05-03,3865.29,3879.31,3817.60,3821.97,0,0
2006-05-04,3822.57,3843.66,3806.35,3843.08,0,0
2006-05-05,3845.32,3874.32,3836.65,3874.32,0,0
2006-05-08,3877.74,3897.40,3872.67,3877.53,0,0
2006-05-09,3879.59,3890.94,3866.35,3890.94,0,0
2006-05-10,3883.38,3889.78,3863.56,3863.56,0,0
2006-05-11,3864.02,3894.60,3836.67,3837.86,0,0
2006-05-12,3829.82,3829.82,3750.44,3750.44,0,0
2006-05-15,3746.40,3746.40,3680.95,3711.16,0,0
2006-05-16,3711.46,3750.12,3692.35,3730.36,0,0
2006-05-17,3734.32,3750.42,3605.19,3605.37,0,0
2006-05-18,3607.41,3649.54,3558.27,3606.33,0,0
2006-05-19,3608.26,3638.38,3601.68,3625.33,0,0
2006-05-22,3622.35,3622.35,3527.05,3539.77,0,0
2006-05-23,3541.56,3637.39,3541.56,3620.28,0,0
2006-05-24,3617.11,3617.11,3542.93,3574.86,0,0
2006-05-25,3579.36,3635.00,3555.18,3635.00,0,0
2006-05-26,3647.15,3699.80,3646.42,3699.80,0,0
2006-05-29,3696.48,3696.48,3677.02,3679.57,0,0
2006-05-30,3677.67,3683.30,3581.65,3590.91,0,0
2006-05-31,3581.80,3641.83,3542.41,3637.17,0,0
2006-06-01,3634.82,3652.84,3595.27,3648.33,0,0
2006-06-02,3656.43,3688.89,3622.96,3636.89,0,0
2006-06-05,3636.83,3638.59,3592.71,3604.33,0,0
2006-06-06,3598.58,3598.58,3519.86,3529.10,0,0
2006-06-07,3536.39,3575.67,3512.25,3562.36,0,0
2006-06-08,3556.87,3556.87,3462.37,3462.37,0,0
2006-06-09,3470.27,3531.70,3470.27,3520.99,0,0
2006-06-12,3519.43,3528.27,3477.06,3480.76,0,0
2006-06-13,3476.33,3476.33,3392.75,3408.02,0,0
2006-06-14,3410.79,3433.72,3379.66,3414.21,0,0
2006-06-15,3423.23,3496.64,3423.23,3493.25,0,0
2006-06-16,3508.39,3544.27,3459.56,3463.56,0,0
2006-06-19,3469.88,3520.51,3469.88,3490.24,0,0
2006-06-20,3474.60,3514.83,3453.14,3514.83,0,0
2006-06-21,3519.86,3526.86,3476.22,3526.84,0,0
2006-06-22,3542.65,3571.24,3523.72,3544.85,0,0
2006-06-23,3545.60,3564.06,3530.00,3550.15,0,0
2006-06-26,3554.07,3566.55,3528.59,3534.84,0,0
2006-06-27,3540.49,3555.94,3500.72,3506.93,0,0
2006-06-28,3503.30,3526.09,3484.71,3506.07,0,0
2006-06-29,3519.54,3583.90,3519.54,3582.61,0,0
2006-06-30,3592.01,3655.02,3592.01,3648.92,0,0
2006-07-03,3648.91,3662.92,3639.07,3662.92,0,0
2006-07-04,3664.59,3670.75,3646.04,3670.75,0,0
2006-07-05,3656.71,3656.71,3607.81,3618.64,0,0
2006-07-06,3624.02,3665.54,3624.02,3662.39,0,0
2006-07-07,3657.00,3670.45,3627.02,3651.33,0,0
2006-07-10,3645.42,3671.09,3621.34,3666.51,0,0
2006-07-11,3656.57,3656.65,3609.05,3617.78,0,0
2006-07-12,3632.02,3662.83,3622.26,3630.50,0,0
2006-07-13,3617.55,3617.55,3552.52,3562.56,0,0
2006-07-14,3545.92,3552.04,3508.25,3508.25,0,0
2006-07-17,3512.22,3518.34,3462.77,3498.62,0,0
2006-07-18,3491.81,3516.31,3475.98,3492.11,0,0
2006-07-19,3497.48,3585.65,3497.48,3585.65,0,0
2006-07-20,3593.87,3612.48,3580.86,3589.63,0,0
2006-07-21,3580.53,3590.68,3546.24,3557.08,0,0
2006-07-24,3559.34,3633.50,3559.34,3632.93,0,0
2006-07-25,3639.65,3651.74,3621.71,3631.50,0,0
2006-07-26,3635.17,3647.02,3625.07,3640.75,0,0
2006-07-27,3649.29,3681.55,3649.29,3681.55,0,0
2006-07-28,3671.71,3711.41,3659.67,3710.60,0,0
2006-07-31,3708.82,3711.52,3688.22,3691.87,0,0
2006-08-01,3687.82,3696.52,3632.51,3640.60,0,0
2006-08-02,3655.93,3696.77,3655.93,3696.35,0,0
2006-08-03,3695.86,3703.38,3647.96,3667.91,0,0
2006-08-04,3677.44,3729.29,3677.44,3718.09,0,0
2006-08-07,3707.49,3707.49,3654.09,3659.03,0,0
2006-08-08,3672.22,3684.78,3654.51,3668.10,0,0
2006-08-09,3674.04,3712.22,3651.29,3707.19,0,0
2006-08-10,3686.63,3686.63,3638.55,3675.44,0,0
2006-08-11,3682.86,3698.24,3659.10,3675.10,0,0
2006-08-14,3690.09,3720.39,3690.09,3719.11,0,0
2006-08-15,3712.47,3773.87,3706.87,3766.38,0,0
2006-08-16,3767.86,3798.63,3765.45,3790.94,0,0
2006-08-17,3792.00,3801.01,3779.32,3800.10,0,0
2006-08-18,3798.33,3807.48,3781.99,3791.40,0,0
2006-08-21,3789.99,3790.58,3765.38,3777.25,0,0
2006-08-22,3788.55,3797.51,3754.38,3792.55,0,0
2006-08-23,3793.49,3793.49,3753.04,3758.98,0,0
2006-08-24,3761.86,3796.84,3743.26,3781.87,0,0
2006-08-25,3784.01,3797.91,3766.21,3781.17,0,0
2006-08-28,3778.79,3811.84,3758.87,3808.57,0,0
2006-08-29,3810.18,3829.39,3800.05,3806.81,0,0
2006-08-30,3815.88,3829.40,3809.02,3817.86,0,0
2006-08-31,3823.70,3828.06,3802.39,3808.70,0,0
2006-09-01,3808.99,3836.22,3808.99,3820.89,0,0
2006-09-04,3824.02,3839.30,3824.02,3837.61,0,0
2006-09-05,3835.82,3835.82,3801.14,3817.76,0,0
2006-09-06,3818.12,3818.36,3765.73,3772.21,0,0
2006-09-07,3766.80,3766.80,3729.77,3739.70,0,0
2006-09-08,3745.99,3762.09,3736.31,3750.08,0,0
2006-09-11,3745.78,3745.78,3709.81,3742.06,0,0
2006-09-12,3744.91,3792.73,3729.36,3788.96,0,0
2006-09-13,3799.86,3810.07,3787.11,3805.55,0,0
2006-09-14,3809.08,3824.77,3786.70,3796.65,0,0
2006-09-15,3800.99,3825.15,3789.18,3812.11,0,0
2006-09-18,3813.73,3823.92,3790.83,3808.47,0,0
2006-09-19,3807.67,3811.25,3770.36,3780.18,0,0
2006-09-20,3782.15,3843.26,3775.48,3841.31,0,0
2006-09-21,3840.20,3867.74,3831.23,3857.14,0,0
2006-09-22,3839.51,3839.65,3800.65,3812.73,0,0
2006-09-25,3815.13,3842.67,3802.47,3822.12,0,0
2006-09-26,3838.00,3877.79,3838.00,3872.92,0,0
2006-09-27,3877.55,3899.04,3871.12,3896.18,0,0
2006-09-28,3893.86,3907.41,3885.32,3894.98,0,0
2006-09-29,3898.07,3921.15,3894.87,3899.41,0,0
2006-10-02,3902.03,3917.40,3875.76,3892.48,0,0
2006-10-03,3886.09,3886.09,3858.87,3880.14,0,0
2006-10-04,3884.39,3914.73,3883.38,3914.73,0,0
2006-10-05,3921.17,3949.47,3921.17,3939.86,0,0
2006-10-06,3939.28,3950.06,3919.88,3940.31,0,0
2006-10-09,3932.33,3942.17,3921.81,3939.48,0,0
2006-10-10,3946.55,3963.20,3943.35,3960.67,0,0
2006-10-11,3956.15,3969.72,3939.78,3967.39,0,0
2006-10-12,3966.39,4000.49,3964.44,3999.93,0,0
2006-10-13,4002.28,4008.67,3986.41,3999.07,0,0
2006-10-16,4000.30,4007.38,3987.52,4001.97,0,0
2006-10-17,3993.04,3993.33,3947.39,3949.57,0,0
2006-10-18,3958.29,4007.17,3958.29,3991.38,0,0
2006-10-19,3986.30,4000.76,3967.98,3986.82,0,0
2006-10-20,3991.86,4016.63,3981.18,3998.19,0,0
2006-10-23,4001.63,4024.75,3982.02,4019.02,0,0
2006-10-24,4018.21,4022.87,4003.96,4014.01,0,0
2006-10-25,4011.18,4025.56,4004.86,4019.14,0,0
2006-10-26,4026.47,4047.54,4019.98,4027.29,0,0
2006-10-27,4029.07,4039.77,3998.43,4017.27,0,0
2006-10-30,4007.26,4007.26,3979.81,4004.92,0,0
2006-10-31,4003.92,4019.84,3990.01,4004.80,0,0
2006-11-01,4003.80,4029.57,3999.78,4014.34,0,0
2006-11-02,4003.97,4010.72,3961.64,3974.62,0,0
2006-11-03,3979.73,4010.44,3971.83,3990.46,0,0
2006-11-06,3991.47,4045.22,3991.47,4045.22,0,0
2006-11-07,4047.63,4075.99,4045.52,4072.86,0,0
2006-11-08,4064.92,4078.99,4047.19,4073.81,0,0
2006-11-09,4071.17,4081.70,4059.21,4073.00,0,0
2006-11-10,4067.10,4072.42,4048.97,4063.84,0,0
2006-11-13,4063.01,4095.55,4059.51,4086.14,0,0
2006-11-14,4087.11,4097.05,4068.51,4084.33,0,0
2006-11-15,4089.39,4110.53,4089.39,4108.83,0,0
2006-11-16,4107.71,4116.79,4096.67,4109.71,0,0
2006-11-17,4106.78,4107.24,4066.05,4078.36,0,0
2006-11-20,4074.59,4101.04,4049.44,4096.74,0,0
2006-11-21,4095.27,4112.27,4090.91,4096.06,0,0
2006-11-22,4105.91,4118.40,4084.71,4094.97,0,0
2006-11-23,4099.96,4105.18,4070.31,4085.76,0,0
2006-11-24,4076.14,4078.44,4028.30,4048.16,0,0
2006-11-27,4045.05,4053.68,3978.25,3978.25,0,0
2006-11-28,3976.16,3990.75,3951.94,3975.11,0,0
2006-11-29,3983.51,4023.89,3983.51,4023.09,0,0
2006-11-30,4027.46,4036.72,3983.05,3987.23,0,0
2006-12-01,3993.03,4011.96,3914.46,3932.09,0,0
2006-12-04,3935.81,3965.16,3927.40,3962.93,0,0
2006-12-05,3966.61,4014.55,3961.06,4007.94,0,0
2006-12-06,4007.75,4015.80,3987.15,4002.31,0,0
2006-12-07,3997.09,4039.25,3991.84,4018.69,0,0
2006-12-08,4011.63,4028.14,3980.66,4019.89,0,0
2006-12-11,4024.14,4055.74,4024.14,4052.89,0,0
2006-12-12,4052.55,4062.20,4044.02,4059.74,0,0
2006-12-13,4063.14,4096.28,4054.64,4094.33,0,0
2006-12-14,4100.49,4122.89,4099.98,4118.84,0,0
2006-12-15,4119.08,4147.38,4119.08,4140.66,0,0
2006-12-18,4140.99,4141.46,4129.65,4130.06,0,0
2006-12-19,4121.01,4121.01,4085.18,4100.48,0,0
2006-12-20,4108.30,4130.80,4108.30,4118.54,0,0
2006-12-21,4111.85,4125.27,4104.46,4112.10,0,0
2006-12-22,4109.86,4109.86,4072.62,4073.50,0,0
2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0
2006-12-28,4137.44,4142.06,4125.14,4130.66,0,0
2006-12-29,4130.12,4142.01,4119.94,4119.94,0,0


================================================
FILE: datas/2006-day-002.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-03,3578.73,3638.42,3578.73,3614.34,0,0
2006-01-05,3615.23,3661.65,3615.23,3650.24,0,0
2006-01-09,3650.54,3685.99,3647.66,3671.78,0,0
2006-01-11,3671.23,3674.31,3638.77,3668.61,0,0
2006-01-13,3667.16,3676.00,3618.06,3629.25,0,0
2006-01-17,3628.73,3649.10,3606.54,3610.07,0,0
2006-01-19,3609.34,3609.34,3550.16,3593.22,0,0
2006-01-23,3593.16,3612.37,3515.07,3544.31,0,0
2006-01-25,3544.78,3578.00,3526.37,3578.00,0,0
2006-01-27,3578.92,3685.48,3577.98,3685.48,0,0
2006-01-31,3684.38,3707.63,3664.45,3691.41,0,0
2006-02-02,3686.16,3745.14,3674.89,3677.05,0,0
2006-02-06,3677.05,3704.17,3652.76,3682.32,0,0
2006-02-08,3682.97,3698.63,3637.93,3671.37,0,0
2006-02-10,3672.34,3735.14,3672.34,3695.63,0,0
2006-02-14,3696.09,3744.66,3684.83,3734.48,0,0
2006-02-16,3733.97,3756.47,3720.41,3756.47,0,0
2006-02-20,3757.34,3777.16,3749.88,3766.74,0,0
2006-02-22,3767.21,3818.48,3767.21,3818.48,0,0
2006-02-24,3819.56,3831.16,3796.21,3826.00,0,0
2006-02-28,3828.99,3840.56,3769.25,3774.51,0,0
2006-03-02,3775.23,3820.55,3745.46,3763.73,0,0
2006-03-06,3763.95,3774.03,3715.35,3754.07,0,0
2006-03-08,3751.30,3757.16,3702.04,3727.96,0,0
2006-03-10,3736.61,3798.46,3736.61,3798.46,0,0
2006-03-14,3801.03,3833.48,3801.03,3833.48,0,0
2006-03-16,3834.11,3853.33,3822.56,3839.71,0,0
2006-03-20,3840.20,3874.64,3820.50,3842.03,0,0
2006-03-22,3842.49,3872.62,3811.02,3868.48,0,0
2006-03-24,3869.22,3878.49,3850.46,3870.89,0,0
2006-03-28,3872.28,3872.28,3799.04,3811.45,0,0
2006-03-30,3811.85,3881.69,3799.12,3874.61,0,0
2006-04-03,3872.37,3881.11,3840.64,3878.64,0,0
2006-04-05,3875.08,3875.08,3835.35,3863.92,0,0
2006-04-07,3866.01,3879.70,3822.26,3823.11,0,0
2006-04-11,3822.35,3843.62,3781.99,3788.81,0,0
2006-04-13,3786.93,3791.15,3753.47,3779.94,0,0
2006-04-19,3779.23,3825.18,3749.71,3820.96,0,0
2006-04-21,3820.93,3892.35,3820.93,3888.46,0,0
2006-04-25,3884.57,3888.65,3858.67,3871.09,0,0
2006-04-27,3873.67,3892.16,3832.10,3865.42,0,0
2006-05-01,3865.91,3865.91,3833.74,3839.90,0,0
2006-05-03,3839.24,3879.31,3817.60,3821.97,0,0
2006-05-05,3822.57,3874.32,3806.35,3874.32,0,0
2006-05-09,3877.74,3897.40,3866.35,3890.94,0,0
2006-05-11,3883.38,3894.60,3836.67,3837.86,0,0
2006-05-15,3829.82,3829.82,3680.95,3711.16,0,0
2006-05-17,3711.46,3750.42,3605.19,3605.37,0,0
2006-05-19,3607.41,3649.54,3558.27,3625.33,0,0
2006-05-23,3622.35,3637.39,3527.05,3620.28,0,0
2006-05-25,3617.11,3635.00,3542.93,3635.00,0,0
2006-05-29,3647.15,3699.80,3646.42,3679.57,0,0
2006-05-31,3677.67,3683.30,3542.41,3637.17,0,0
2006-06-02,3634.82,3688.89,3595.27,3636.89,0,0
2006-06-06,3636.83,3638.59,3519.86,3529.10,0,0
2006-06-08,3536.39,3575.67,3462.37,3462.37,0,0
2006-06-12,3470.27,3531.70,3470.27,3480.76,0,0
2006-06-14,3476.33,3476.33,3379.66,3414.21,0,0
2006-06-16,3423.23,3544.27,3423.23,3463.56,0,0
2006-06-20,3469.88,3520.51,3453.14,3514.83,0,0
2006-06-22,3519.86,3571.24,3476.22,3544.85,0,0
2006-06-26,3545.60,3566.55,3528.59,3534.84,0,0
2006-06-28,3540.49,3555.94,3484.71,3506.07,0,0
2006-06-30,3519.54,3655.02,3519.54,3648.92,0,0
2006-07-04,3648.91,3670.75,3639.07,3670.75,0,0
2006-07-06,3656.71,3665.54,3607.81,3662.39,0,0
2006-07-10,3657.00,3671.09,3621.34,3666.51,0,0
2006-07-12,3656.57,3662.83,3609.05,3630.50,0,0
2006-07-14,3617.55,3617.55,3508.25,3508.25,0,0
2006-07-18,3512.22,3518.34,3462.77,3492.11,0,0
2006-07-20,3497.48,3612.48,3497.48,3589.63,0,0
2006-07-24,3580.53,3633.50,3546.24,3632.93,0,0
2006-07-26,3639.65,3651.74,3621.71,3640.75,0,0
2006-07-28,3649.29,3711.41,3649.29,3710.60,0,0
2006-08-01,3708.82,3711.52,3632.51,3640.60,0,0
2006-08-03,3655.93,3703.38,3647.96,3667.91,0,0
2006-08-07,3677.44,3729.29,3654.09,3659.03,0,0
2006-08-09,3672.22,3712.22,3651.29,3707.19,0,0
2006-08-11,3686.63,3698.24,3638.55,3675.10,0,0
2006-08-15,3690.09,3773.87,3690.09,3766.38,0,0
2006-08-17,3767.86,3801.01,3765.45,3800.10,0,0
2006-08-21,3798.33,3807.48,3765.38,3777.25,0,0
2006-08-23,3788.55,3797.51,3753.04,3758.98,0,0
2006-08-25,3761.86,3797.91,3743.26,3781.17,0,0
2006-08-29,3778.79,3829.39,3758.87,3806.81,0,0
2006-08-31,3815.88,3829.40,3802.39,3808.70,0,0
2006-09-04,3808.99,3839.30,3808.99,3837.61,0,0
2006-09-06,3835.82,3835.82,3765.73,3772.21,0,0
2006-09-08,3766.80,3766.80,3729.77,3750.08,0,0
2006-09-12,3745.78,3792.73,3709.81,3788.96,0,0
2006-09-14,3799.86,3824.77,3786.70,3796.65,0,0
2006-09-18,3800.99,3825.15,3789.18,3808.47,0,0
2006-09-20,3807.67,3843.26,3770.36,3841.31,0,0
2006-09-22,3840.20,3867.74,3800.65,3812.73,0,0
2006-09-26,3815.13,3877.79,3802.47,3872.92,0,0
2006-09-28,3877.55,3907.41,3871.12,3894.98,0,0
2006-10-02,3898.07,3921.15,3875.76,3892.48,0,0
2006-10-04,3886.09,3914.73,3858.87,3914.73,0,0
2006-10-06,3921.17,3950.06,3919.88,3940.31,0,0
2006-10-10,3932.33,3963.20,3921.81,3960.67,0,0
2006-10-12,3956.15,4000.49,3939.78,3999.93,0,0
2006-10-16,4002.28,4008.67,3986.41,4001.97,0,0
2006-10-18,3993.04,4007.17,3947.39,3991.38,0,0
2006-10-20,3986.30,4016.63,3967.98,3998.19,0,0
2006-10-24,4001.63,4024.75,3982.02,4014.01,0,0
2006-10-26,4011.18,4047.54,4004.86,4027.29,0,0
2006-10-30,4029.07,4039.77,3979.81,4004.92,0,0
2006-11-01,4003.92,4029.57,3990.01,4014.34,0,0
2006-11-03,4003.97,4010.72,3961.64,3990.46,0,0
2006-11-07,3991.47,4075.99,3991.47,4072.86,0,0
2006-11-09,4064.92,4081.70,4047.19,4073.00,0,0
2006-11-13,4067.10,4095.55,4048.97,4086.14,0,0
2006-11-15,4087.11,4110.53,4068.51,4108.83,0,0
2006-11-17,4107.71,4116.79,4066.05,4078.36,0,0
2006-11-21,4074.59,4112.27,4049.44,4096.06,0,0
2006-11-23,4105.91,4118.40,4070.31,4085.76,0,0
2006-11-27,4076.14,4078.44,3978.25,3978.25,0,0
2006-11-29,3976.16,4023.89,3951.94,4023.09,0,0
2006-12-01,4027.46,4036.72,3914.46,3932.09,0,0
2006-12-05,3935.81,4014.55,3927.40,4007.94,0,0
2006-12-07,4007.75,4039.25,3987.15,4018.69,0,0
2006-12-11,4011.63,4055.74,3980.66,4052.89,0,0
2006-12-13,4052.55,4096.28,4044.02,4094.33,0,0
2006-12-15,4100.49,4147.38,4099.98,4140.66,0,0
2006-12-19,4140.99,4141.46,4085.18,4100.48,0,0
2006-12-21,4108.30,4130.80,4104.46,4112.10,0,0
2006-12-25,4109.86,4109.86,4072.62,4073.50,0,0
2006-12-27,4079.70,4134.86,4079.70,4134.86,0,0
2006-12-29,4137.44,4142.06,4119.94,4119.94,0,0


================================================
FILE: datas/2006-min-005.txt
================================================
Date,Time,Open,High,Low,Close,Volume,OpenInterest
2006-01-02,09:05:00,3578.73,3587.88,3578.73,3582.99,0,0
2006-01-02,09:10:00,3583.01,3588.40,3583.01,3588.03,0,0
2006-01-02,09:15:00,3588.09,3591.83,3587.75,3591.83,0,0
2006-01-02,09:20:00,3591.42,3591.58,3589.58,3590.62,0,0
2006-01-02,09:25:00,3590.64,3591.86,3590.29,3591.16,0,0
2006-01-02,09:30:00,3591.18,3591.18,3590.02,3590.65,0,0
2006-01-02,09:35:00,3591.40,3596.42,3591.34,3596.41,0,0
2006-01-02,09:40:00,3597.27,3602.86,3597.27,3602.43,0,0
2006-01-02,09:45:00,3602.96,3605.49,3602.57,3604.35,0,0
2006-01-02,09:50:00,3604.02,3604.11,3602.70,3602.70,0,0
2006-01-02,09:55:00,3602.61,3602.61,3601.56,3601.79,0,0
2006-01-02,10:00:00,3601.58,3601.58,3599.29,3600.40,0,0
2006-01-02,10:05:00,3600.28,3602.70,3600.28,3602.70,0,0
2006-01-02,10:10:00,3602.34,3603.31,3600.95,3601.05,0,0
2006-01-02,10:15:00,3600.82,3600.82,3598.58,3598.85,0,0
2006-01-02,10:20:00,3598.70,3600.52,3598.60,3599.74,0,0
2006-01-02,10:25:00,3599.96,3601.35,3599.87,3601.02,0,0
2006-01-02,10:30:00,3601.47,3601.57,3600.70,3601.11,0,0
2006-01-02,10:35:00,3601.48,3603.04,3601.07,3601.34,0,0
2006-01-02,10:40:00,3601.15,3602.69,3601.15,3602.69,0,0
2006-01-02,10:45:00,3602.61,3602.86,3602.15,3602.15,0,0
2006-01-02,10:50:00,3602.34,3602.39,3601.42,3601.89,0,0
2006-01-02,10:55:00,3601.99,3602.54,3601.55,3601.55,0,0
2006-01-02,11:00:00,3601.70,3601.85,3600.46,3601.22,0,0
2006-01-02,11:05:00,3601.26,3601.58,3600.66,3600.72,0,0
2006-01-02,11:10:00,3600.49,3600.88,3599.07,3599.85,0,0
2006-01-02,11:15:00,3599.72,3599.85,3598.10,3598.47,0,0
2006-01-02,11:20:00,3598.45,3598.45,3590.60,3590.63,0,0
2006-01-02,11:25:00,3590.66,3592.40,3590.32,3592.18,0,0
2006-01-02,11:30:00,3592.13,3593.72,3592.13,3593.72,0,0
2006-01-02,11:35:00,3593.78,3595.29,3593.78,3595.20,0,0
2006-01-02,11:40:00,3595.35,3595.80,3594.84,3595.26,0,0
2006-01-02,11:45:00,3595.43,3596.26,3594.81,3595.73,0,0
2006-01-02,11:50:00,3595.84,3597.04,3595.31,3597.04,0,0
2006-01-02,11:55:00,3596.77,3599.26,3596.55,3598.63,0,0
2006-01-02,12:00:00,3598.73,3599.48,3598.06,3598.40,0,0
2006-01-02,12:05:00,3598.58,3598.92,3598.16,3598.37,0,0
2006-01-02,12:10:00,3598.15,3598.57,3597.74,3597.96,0,0
2006-01-02,12:15:00,3598.24,3599.13,3597.75,3598.77,0,0
2006-01-02,12:20:00,3598.62,3600.24,3598.62,3600.24,0,0
2006-01-02,12:25:00,3600.31,3600.78,3599.95,3599.98,0,0
2006-01-02,12:30:00,3599.83,3600.05,3599.54,3599.79,0,0
2006-01-02,12:35:00,3599.77,3599.99,3598.90,3599.00,0,0
2006-01-02,12:40:00,3599.02,3599.31,3598.63,3598.76,0,0
2006-01-02,12:45:00,3598.88,3599.38,3598.31,3598.77,0,0
2006-01-02,12:50:00,3598.68,3598.91,3596.95,3596.95,0,0
2006-01-02,12:55:00,3596.84,3597.19,3596.21,3596.22,0,0
2006-01-02,13:00:00,3596.19,3596.85,3596.07,3596.85,0,0
2006-01-02,13:05:00,3596.73,3596.93,3596.24,3596.42,0,0
2006-01-02,13:10:00,3596.32,3596.32,3595.69,3595.84,0,0
2006-01-02,13:15:00,3595.85,3596.15,3595.27,3595.63,0,0
2006-01-02,13:20:00,3596.02,3596.02,3595.47,3595.59,0,0
2006-01-02,13:25:00,3595.55,3595.76,3595.25,3595.31,0,0
2006-01-02,13:30:00,3595.17,3596.48,3595.15,3596.40,0,0
2006-01-02,13:35:00,3596.30,3596.30,3595.16,3595.16,0,0
2006-01-02,13:40:00,3595.29,3595.30,3594.60,3595.30,0,0
2006-01-02,13:45:00,3595.09,3595.36,3594.73,3595.31,0,0
2006-01-02,13:50:00,3595.28,3595.37,3594.59,3594.93,0,0
2006-01-02,13:55:00,3595.20,3595.36,3594.59,3594.74,0,0
2006-01-02,14:00:00,3594.85,3595.11,3594.45,3594.79,0,0
2006-01-02,14:05:00,3594.88,3595.19,3594.28,3594.55,0,0
2006-01-02,14:10:00,3594.71,3594.71,3593.58,3593.99,0,0
2006-01-02,14:15:00,3593.92,3594.90,3593.73,3594.78,0,0
2006-01-02,14:20:00,3594.37,3595.17,3594.15,3594.15,0,0
2006-01-02,14:25:00,3594.02,3594.80,3594.00,3594.31,0,0
2006-01-02,14:30:00,3594.67,3595.51,3594.67,3595.51,0,0
2006-01-02,14:35:00,3595.50,3595.64,3594.96,3595.44,0,0
2006-01-02,14:40:00,3595.59,3595.87,3595.25,3595.52,0,0
2006-01-02,14:45:00,3595.73,3596.29,3595.19,3595.47,0,0
2006-01-02,14:50:00,3595.48,3596.15,3595.39,3595.62,0,0
2006-01-02,14:55:00,3595.55,3596.45,3595.55,3596.45,0,0
2006-01-02,15:00:00,3596.53,3596.55,3595.43,3596.52,0,0
2006-01-02,15:05:00,3596.36,3596.51,3595.80,3596.33,0,0
2006-01-02,15:10:00,3596.12,3596.63,3595.92,3596.63,0,0
2006-01-02,15:15:00,3596.36,3596.65,3596.19,3596.65,0,0
2006-01-02,15:20:00,3596.53,3599.13,3596.12,3598.90,0,0
2006-01-02,15:25:00,3599.07,3599.68,3598.47,3599.68,0,0
2006-01-02,15:30:00,3599.64,3599.73,3599.00,3599.67,0,0
2006-01-02,15:35:00,3599.61,3600.29,3599.52,3599.92,0,0
2006-01-02,15:40:00,3599.96,3602.06,3599.76,3602.05,0,0
2006-01-02,15:45:00,3601.97,3602.07,3601.45,3601.83,0,0
2006-01-02,15:50:00,3601.74,3602.80,3601.63,3602.80,0,0
2006-01-02,15:55:00,3602.53,3602.74,3602.33,3602.61,0,0
2006-01-02,16:00:00,3602.58,3602.75,3601.81,3602.14,0,0
2006-01-02,16:05:00,3602.16,3602.16,3600.86,3600.96,0,0
2006-01-02,16:10:00,3601.20,3601.49,3600.94,3601.27,0,0
2006-01-02,16:15:00,3601.47,3601.69,3600.37,3600.69,0,0
2006-01-02,16:20:00,3600.39,3600.68,3600.13,3600.50,0,0
2006-01-02,16:25:00,3600.91,3602.05,3600.91,3601.82,0,0
2006-01-02,16:30:00,3601.87,3602.18,3601.40,3602.04,0,0
2006-01-02,16:35:00,3602.25,3603.07,3601.88,3603.07,0,0
2006-01-02,16:40:00,3603.06,3603.93,3602.53,3603.93,0,0
2006-01-02,16:45:00,3603.36,3603.62,3603.14,3603.42,0,0
2006-01-02,16:50:00,3603.16,3603.87,3602.97,3603.28,0,0
2006-01-02,16:55:00,3603.48,3603.48,3602.06,3602.06,0,0
2006-01-02,17:00:00,3602.38,3603.07,3601.99,3602.56,0,0
2006-01-02,17:05:00,3602.50,3603.93,3602.25,3603.81,0,0
2006-01-02,17:10:00,3603.87,3604.12,3603.41,3604.11,0,0
2006-01-02,17:15:00,3603.96,3603.96,3602.89,3603.79,0,0
2006-01-02,17:20:00,3603.94,3605.95,3603.87,3603.91,0,0
2006-01-02,17:25:00,3604.00,3604.76,3603.85,3604.64,0,0
2006-01-02,17:30:00,3604.06,3604.41,3603.95,3604.33,0,0
2006-01-03,09:05:00,3604.08,3609.60,3604.08,3609.60,0,0
2006-01-03,09:10:00,3610.34,3617.31,3610.34,3617.31,0,0
2006-01-03,09:15:00,3617.61,3617.87,3616.03,3617.51,0,0
2006-01-03,09:20:00,3617.24,3618.86,3616.09,3618.42,0,0
2006-01-03,09:25:00,3618.36,3623.31,3618.36,3623.23,0,0
2006-01-03,09:30:00,3623.57,3625.02,3622.00,3623.99,0,0
2006-01-03,09:35:00,3623.91,3628.72,3623.61,3628.22,0,0
2006-01-03,09:40:00,3627.92,3631.61,3627.92,3631.35,0,0
2006-01-03,09:45:00,3630.88,3630.88,3628.69,3628.69,0,0
2006-01-03,09:50:00,3628.86,3629.09,3627.27,3628.61,0,0
2006-01-03,09:55:00,3628.41,3631.13,3628.41,3630.43,0,0
2006-01-03,10:00:00,3630.32,3630.97,3629.28,3630.97,0,0
2006-01-03,10:05:00,3631.34,3633.33,3631.34,3632.30,0,0
2006-01-03,10:10:00,3632.14,3632.29,3630.88,3631.50,0,0
2006-01-03,10:15:00,3631.47,3631.78,3630.82,3631.78,0,0
2006-01-03,10:20:00,3631.60,3633.50,3631.60,3633.34,0,0
2006-01-03,10:25:00,3633.43,3635.74,3633.43,3634.70,0,0
2006-01-03,10:30:00,3634.30,3635.36,3634.25,3635.04,0,0
2006-01-03,10:35:00,3634.63,3635.29,3634.26,3635.08,0,0
2006-01-03,10:40:00,3634.96,3634.96,3634.09,3634.28,0,0
2006-01-03,10:45:00,3634.76,3636.48,3634.60,3636.25,0,0
2006-01-03,10:50:00,3636.54,3637.72,3636.25,3637.00,0,0
2006-01-03,10:55:00,3636.57,3636.57,3634.30,3634.30,0,0
2006-01-03,11:00:00,3634.18,3635.82,3633.60,3635.70,0,0
2006-01-03,11:05:00,3635.70,3638.13,3635.65,3637.15,0,0
2006-01-03,11:10:00,3637.30,3638.42,3636.86,3637.30,0,0
2006-01-03,11:15:00,3636.91,3637.38,3636.45,3636.79,0,0
2006-01-03,11:20:00,3636.45,3636.63,3634.98,3634.98,0,0
2006-01-03,11:25:00,3635.04,3636.40,3634.74,3636.38,0,0
2006-01-03,11:30:00,3636.26,3636.65,3636.01,3636.47,0,0
2006-01-03,11:35:00,3636.37,3637.44,3635.72,3635.72,0,0
2006-01-03,11:40:00,3635.54,3635.89,3635.14,3635.40,0,0
2006-01-03,11:45:00,3635.37,3636.67,3635.37,3636.67,0,0
2006-01-03,11:50:00,3636.76,3637.07,3636.33,3636.54,0,0
2006-01-03,11:55:00,3636.39,3636.83,3635.68,3635.68,0,0
2006-01-03,12:00:00,3636.20,3637.13,3635.93,3636.95,0,0
2006-01-03,12:05:00,3636.49,3636.78,3635.14,3635.26,0,0
2006-01-03,12:10:00,3635.46,3635.63,3634.91,3635.63,0,0
2006-01-03,12:15:00,3635.98,3635.98,3634.66,3635.26,0,0
2006-01-03,12:20:00,3635.23,3635.43,3634.36,3634.36,0,0
2006-01-03,12:25:00,3634.19,3634.67,3633.87,3634.30,0,0
2006-01-03,12:30:00,3634.18,3634.46,3633.88,3634.22,0,0
2006-01-03,12:35:00,3634.47,3634.87,3634.06,3634.73,0,0
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2006-01-03,12:45:00,3635.01,3635.06,3634.29,3634.57,0,0
2006-01-03,12:50:00,3634.16,3634.22,3633.34,3634.05,0,0
2006-01-03,12:55:00,3634.16,3635.08,3634.16,3634.97,0,0
2006-01-03,13:00:00,3634.87,3635.06,3633.98,3634.14,0,0
2006-01-03,13:05:00,3634.35,3634.35,3633.53,3634.19,0,0
2006-01-03,13:10:00,3634.31,3634.95,3633.67,3634.95,0,0
2006-01-03,13:15:00,3634.84,3634.96,3633.58,3634.18,0,0
2006-01-03,13:20:00,3634.11,3634.27,3633.45,3634.09,0,0
2006-01-03,13:25:00,3634.40,3634.47,3633.81,3634.08,0,0
2006-01-03,13:30:00,3634.32,3634.97,3634.17,3634.69,0,0
2006-01-03,13:35:00,3634.88,3635.62,3634.58,3634.67,0,0
2006-01-03,13:40:00,3634.53,3635.11,3634.01,3634.16,0,0
2006-01-03,13:45:00,3634.07,3634.57,3633.84,3634.57,0,0
2006-01-03,13:50:00,3634.49,3634.71,3634.11,3634.34,0,0
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2006-01-03,14:00:00,3634.22,3637.00,3634.22,3637.00,0,0
2006-01-03,14:05:00,3637.26,3637.26,3635.88,3636.98,0,0
2006-01-03,14:10:00,3636.90,3637.14,3636.53,3637.05,0,0
2006-01-03,14:15:00,3637.31,3637.45,3635.24,3635.24,0,0
2006-01-03,14:20:00,3634.99,3635.14,3633.83,3633.83,0,0
2006-01-03,14:25:00,3633.76,3633.77,3631.98,3632.96,0,0
2006-01-03,14:30:00,3632.97,3634.11,3632.97,3633.97,0,0
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2006-01-03,14:40:00,3633.90,3635.40,3633.80,3635.24,0,0
2006-01-03,14:45:00,3634.90,3635.99,3634.90,3635.71,0,0
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2006-01-03,15:20:00,3634.67,3634.95,3634.34,3634.81,0,0
2006-01-03,15:25:00,3634.72,3635.00,3634.06,3634.87,0,0
2006-01-03,15:30:00,3634.81,3634.89,3634.04,3634.23,0,0
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2006-01-03,15:40:00,3633.71,3633.71,3629.56,3629.56,0,0
2006-01-03,15:45:00,3629.87,3633.71,3629.87,3633.71,0,0
2006-01-03,15:50:00,3633.65,3633.72,3631.07,3631.97,0,0
2006-01-03,15:55:00,3631.80,3632.19,3629.59,3629.68,0,0
2006-01-03,16:00:00,3629.23,3630.25,3628.56,3630.25,0,0
2006-01-03,16:05:00,3630.16,3630.16,3623.29,3623.54,0,0
2006-01-03,16:10:00,3623.42,3625.34,3620.97,3621.58,0,0
2006-01-03,16:15:00,3621.38,3621.73,3616.88,3617.21,0,0
2006-01-03,16:20:00,3617.18,3621.09,3615.81,3621.09,0,0
2006-01-03,16:25:00,3621.12,3621.18,3615.59,3615.59,0,0
2006-01-03,16:30:00,3615.31,3615.45,3609.71,3611.20,0,0
2006-01-03,16:35:00,3611.13,3611.84,3604.16,3604.84,0,0
2006-01-03,16:40:00,3604.60,3604.60,3601.84,3602.59,0,0
2006-01-03,16:45:00,3602.93,3608.80,3602.93,3608.31,0,0
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2006-01-03,16:55:00,3610.63,3613.12,3610.61,3612.59,0,0
2006-01-03,17:00:00,3612.39,3613.70,3609.20,3610.05,0,0
2006-01-03,17:05:00,3610.58,3611.56,3608.14,3608.14,0,0
2006-01-03,17:10:00,3606.85,3608.09,3603.82,3608.09,0,0
2006-01-03,17:15:00,3608.31,3609.01,3606.02,3607.36,0,0
2006-01-03,17:20:00,3607.45,3610.81,3607.29,3610.62,0,0
2006-01-03,17:25:00,3610.39,3610.71,3608.88,3609.13,0,0
2006-01-03,17:30:00,3609.22,3614.34,3608.92,3614.34,0,0
2006-01-04,09:05:00,3615.23,3643.02,3615.23,3643.02,0,0
2006-01-04,09:10:00,3643.10,3650.67,3643.10,3649.53,0,0
2006-01-04,09:15:00,3649.23,3649.95,3648.23,3648.57,0,0
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2006-01-04,09:25:00,3642.76,3644.65,3641.84,3643.55,0,0
2006-01-04,09:30:00,3642.91,3645.55,3642.91,3645.55,0,0
2006-01-04,09:35:00,3645.58,3646.37,3643.83,3646.03,0,0
2006-01-04,09:40:00,3646.24,3648.08,3646.24,3647.15,0,0
2006-01-04,09:45:00,3646.88,3646.97,3644.89,3644.89,0,0
2006-01-04,09:50:00,3644.67,3644.93,3640.14,3640.50,0,0
2006-01-04,09:55:00,3640.49,3645.12,3640.46,3644.75,0,0
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2006-01-04,10:30:00,3644.63,3644.63,3633.50,3633.50,0,0
2006-01-04,10:35:00,3631.82,3640.62,3631.82,3638.01,0,0
2006-01-04,10:40:00,3638.14,3638.32,3629.17,3634.36,0,0
2006-01-04,10:45:00,3633.36,3639.19,3633.36,3639.19,0,0
2006-01-04,10:50:00,3639.02,3641.15,3638.17,3640.68,0,0
2006-01-04,10:55:00,3640.64,3641.54,3638.83,3639.21,0,0
2006-01-04,11:00:00,3639.25,3639.25,3637.69,3637.69,0,0
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2006-01-04,11:10:00,3638.85,3640.32,3638.68,3640.32,0,0
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2006-01-04,11:30:00,3641.82,3643.98,3641.49,3643.75,0,0
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2006-01-04,12:15:00,3641.88,3642.71,3641.55,3642.50,0,0
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2006-01-04,17:25:00,3649.93,3651.08,3649.45,3650.07,0,0
2006-01-04,17:30:00,3650.19,3652.46,3650.19,3652.46,0,0
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2006-01-09,11:30:00,3684.81,3685.32,3683.41,3683.68,0,0
2006-01-09,11:35:00,3683.25,3683.66,3682.85,3682.85,0,0
2006-01-09,11:40:00,3682.60,3683.22,3681.84,3682.05,0,0
2006-01-09,11:45:00,3682.02,3683.47,3681.95,3683.47,0,0
2006-01-09,11:50:00,3683.19,3684.63,3683.19,3684.51,0,0
2006-01-09,11:55:00,3684.10,3684.38,3683.45,3683.68,0,0
2006-01-09,12:00:00,3683.87,3683.87,3683.05,3683.38,0,0
2006-01-09,12:05:00,3683.66,3683.66,3682.35,3682.47,0,0
2006-01-09,12:10:00,3682.34,3682.57,3680.48,3681.37,0,0
2006-01-09,12:15:00,3681.50,3681.51,3680.40,3680.84,0,0
2006-01-09,12:20:00,3681.03,3681.21,3677.50,3677.83,0,0
2006-01-09,12:25:00,3677.75,3678.94,3677.74,3678.82,0,0
2006-01-09,12:30:00,3679.04,3679.43,3678.75,3678.75,0,0
2006-01-09,12:35:00,3679.27,3680.33,3678.65,3680.05,0,0
2006-01-09,12:40:00,3679.98,3681.09,3679.34,3679.34,0,0
2006-01-09,12:45:00,3678.96,3679.26,3678.02,3678.65,0,0
2006-01-09,12:50:00,3678.81,3680.06,3678.14,3678.41,0,0
2006-01-09,12:55:00,3678.05,3678.05,3676.95,3677.46,0,0
2006-01-09,13:00:00,3677.15,3678.10,3676.93,3677.57,0,0
2006-01-09,13:05:00,3677.63,3678.13,3677.36,3678.13,0,0
2006-01-09,13:10:00,3677.77,3678.21,3677.49,3677.77,0,0
2006-01-09,13:15:00,3677.74,3678.38,3677.74,3678.29,0,0
2006-01-09,13:20:00,3678.58,3678.62,3678.00,3678.62,0,0
2006-01-09,13:25:00,3678.70,3679.18,3678.48,3678.54,0,0
2006-01-09,13:30:00,3678.22,3678.45,3677.80,3677.94,0,0
2006-01-09,13:35:00,3678.08,3678.23,3677.42,3677.96,0,0
2006-01-09,13:40:00,3678.07,3678.07,3677.33,3677.65,0,0
2006-01-09,13:45:00,3677.66,3678.32,3677.29,3677.93,0,0
2006-01-09,13:50:00,3677.99,3678.91,3677.99,3678.91,0,0
2006-01-09,13:55:00,3678.85,3679.22,3678.05,3678.05,0,0
2006-01-09,14:00:00,3677.95,3678.72,3677.90,3678.72,0,0
2006-01-09,14:05:00,3678.65,3678.69,3678.02,3678.69,0,0
2006-01-09,14:10:00,3678.92,3679.08,3678.19,3679.08,0,0
2006-01-09,14:15:00,3678.55,3678.55,3676.54,3677.56,0,0
2006-01-09,14:20:00,3677.80,3678.85,3677.68,3678.85,0,0
2006-01-09,14:25:00,3678.80,3679.21,3677.93,3678.87,0,0
2006-01-09,14:30:00,3678.66,3678.81,3677.39,3678.20,0,0
2006-01-09,14:35:00,3678.07,3678.73,3677.78,3677.85,0,0
2006-01-09,14:40:00,3677.86,3678.11,3676.83,3677.13,0,0
2006-01-09,14:45:00,3677.13,3677.17,3674.06,3674.22,0,0
2006-01-09,14:50:00,3674.22,3675.48,3674.22,3675.14,0,0
2006-01-09,14:55:00,3675.11,3675.39,3673.56,3674.61,0,0
2006-01-09,15:00:00,3674.45,3675.19,3674.45,3674.86,0,0
2006-01-09,15:05:00,3675.36,3675.38,3671.94,3672.73,0,0
2006-01-09,15:10:00,3672.68,3674.18,3672.33,3674.18,0,0
2006-01-09,15:15:00,3673.87,3674.57,3673.51,3674.56,0,0
2006-01-09,15:20:00,3674.69,3676.31,3674.58,3675.91,0,0
2006-01-09,15:25:00,3675.98,3676.86,3675.44,3676.76,0,0
2006-01-09,15:30:00,3676.85,3677.17,3676.51,3676.84,0,0
2006-01-09,15:35:00,3676.83,3678.59,3676.30,3678.02,0,0
2006-01-09,15:40:00,3678.25,3678.45,3676.97,3678.45,0,0
2006-01-09,15:45:00,3678.91,3679.44,3676.82,3677.13,0,0
2006-01-09,15:50:00,3676.84,3677.69,3675.84,3676.68,0,0
2006-01-09,15:55:00,3676.91,3676.91,3675.55,3675.85,0,0
2006-01-09,16:00:00,3675.68,3676.89,3672.82,3673.17,0,0
2006-01-09,16:05:00,3673.29,3674.13,3670.78,3670.78,0,0
2006-01-09,16:10:00,3670.99,3672.94,3670.40,3672.94,0,0
2006-01-09,16:15:00,3672.86,3674.33,3672.41,3674.33,0,0
2006-01-09,16:20:00,3674.29,3676.63,3674.03,3675.83,0,0
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2006-01-09,16:30:00,3673.99,3675.27,3673.71,3674.39,0,0
2006-01-09,16:35:00,3674.54,3676.04,3673.56,3675.07,0,0
2006-01-09,16:40:00,3675.01,3675.17,3673.90,3675.06,0,0
2006-01-09,16:45:00,3674.52,3675.02,3673.10,3675.02,0,0
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2006-01-09,16:55:00,3676.43,3677.19,3673.46,3673.46,0,0
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2006-01-09,17:05:00,3672.96,3673.55,3671.93,3672.30,0,0
2006-01-09,17:10:00,3672.44,3673.06,3671.98,3673.06,0,0
2006-01-09,17:15:00,3673.38,3673.87,3673.03,3673.13,0,0
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2006-01-09,17:25:00,3672.17,3673.13,3671.98,3672.50,0,0
2006-01-09,17:30:00,3672.72,3673.98,3671.75,3671.78,0,0
2006-01-10,09:05:00,3671.23,3671.23,3659.49,3660.84,0,0
2006-01-10,09:10:00,3661.04,3661.67,3658.97,3661.05,0,0
2006-01-10,09:15:00,3660.94,3662.52,3660.94,3661.85,0,0
2006-01-10,09:20:00,3662.00,3662.34,3658.08,3658.39,0,0
2006-01-10,09:25:00,3658.75,3659.87,3657.53,3658.01,0,0
2006-01-10,09:30:00,3657.74,3659.52,3656.70,3658.22,0,0
2006-01-10,09:35:00,3657.92,3660.62,3657.71,3660.62,0,0
2006-01-10,09:40:00,3661.06,3662.37,3661.06,3661.27,0,0
2006-01-10,09:45:00,3660.94,3661.66,3659.16,3659.16,0,0
2006-01-10,09:50:00,3658.99,3659.14,3651.00,3651.00,0,0
2006-01-10,09:55:00,3651.34,3651.34,3648.83,3650.79,0,0
2006-01-10,10:00:00,3651.43,3651.69,3650.11,3650.11,0,0
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2006-01-10,10:10:00,3650.84,3651.56,3650.14,3650.62,0,0
2006-01-10,10:15:00,3649.94,3650.49,3645.96,3647.00,0,0
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2006-01-10,10:30:00,3646.83,3647.85,3645.81,3647.68,0,0
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2006-01-10,10:45:00,3647.90,3648.66,3647.61,3647.78,0,0
2006-01-10,10:50:00,3647.55,3647.76,3645.66,3645.66,0,0
2006-01-10,10:55:00,3645.84,3647.47,3645.71,3647.29,0,0
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2006-01-10,11:20:00,3646.09,3647.91,3646.09,3646.95,0,0
2006-01-10,11:25:00,3647.46,3647.49,3644.51,3644.51,0,0
2006-01-10,11:30:00,3644.80,3644.93,3639.82,3641.04,0,0
2006-01-10,11:35:00,3640.58,3641.28,3638.77,3641.09,0,0
2006-01-10,11:40:00,3641.00,3641.62,3640.25,3641.16,0,0
2006-01-10,11:45:00,3640.87,3643.43,3640.87,3642.94,0,0
2006-01-10,11:50:00,3642.80,3643.07,3641.75,3642.79,0,0
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2006-01-10,12:20:00,3644.23,3644.54,3643.81,3644.00,0,0
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2006-01-10,12:35:00,3642.51,3642.51,3640.74,3640.74,0,0
2006-01-10,12:40:00,3640.96,3641.11,3640.31,3640.91,0,0
2006-01-10,12:45:00,3641.05,3641.69,3641.05,3641.50,0,0
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2006-01-10,12:55:00,3641.68,3642.49,3641.53,3641.97,0,0
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2006-01-10,13:05:00,3643.99,3645.49,3643.56,3645.03,0,0
2006-01-10,13:10:00,3645.19,3647.02,3645.19,3646.80,0,0
2006-01-10,13:15:00,3646.94,3647.38,3646.71,3647.05,0,0
2006-01-10,13:20:00,3646.98,3647.13,3646.50,3646.59,0,0
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2006-01-10,13:30:00,3646.76,3646.76,3644.94,3645.37,0,0
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2006-01-10,13:40:00,3645.74,3646.87,3645.69,3646.87,0,0
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2006-01-10,13:55:00,3645.92,3646.24,3645.36,3645.53,0,0
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2006-01-10,14:45:00,3642.82,3642.88,3641.44,3641.56,0,0
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2006-01-10,15:15:00,3642.49,3642.49,3639.16,3639.20,0,0
2006-01-10,15:20:00,3639.48,3644.31,3639.33,3644.31,0,0
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2006-01-10,15:50:00,3647.78,3647.78,3645.91,3646.45,0,0
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2006-01-10,16:05:00,3645.02,3648.73,3644.76,3648.73,0,0
2006-01-10,16:10:00,3648.93,3648.93,3646.70,3647.25,0,0
2006-01-10,16:15:00,3647.62,3650.43,3647.62,3650.43,0,0
2006-01-10,16:20:00,3649.38,3651.24,3649.31,3650.31,0,0
2006-01-10,16:25:00,3649.13,3652.06,3649.02,3652.06,0,0
2006-01-10,16:30:00,3651.85,3652.01,3650.16,3650.21,0,0
2006-01-10,16:35:00,3650.21,3651.22,3649.88,3650.72,0,0
2006-01-10,16:40:00,3650.77,3652.88,3650.55,3652.88,0,0
2006-01-10,16:45:00,3653.40,3653.53,3652.00,3652.00,0,0
2006-01-10,16:50:00,3650.73,3651.21,3650.28,3651.04,0,0
2006-01-10,16:55:00,3651.06,3652.03,3650.50,3650.70,0,0
2006-01-10,17:00:00,3650.73,3652.29,3650.34,3651.03,0,0
2006-01-10,17:05:00,3651.23,3651.80,3647.75,3647.75,0,0
2006-01-10,17:10:00,3648.35,3648.44,3645.69,3645.96,0,0
2006-01-10,17:15:00,3645.80,3646.97,3645.80,3646.23,0,0
2006-01-10,17:20:00,3646.47,3647.98,3645.99,3647.27,0,0
2006-01-10,17:25:00,3647.34,3648.75,3647.34,3648.42,0,0
2006-01-10,17:30:00,3648.22,3648.34,3644.94,3644.94,0,0
2006-01-11,09:05:00,3645.73,3666.44,3645.73,3666.44,0,0
2006-01-11,09:10:00,3666.49,3668.77,3666.49,3668.77,0,0
2006-01-11,09:15:00,3669.52,3669.52,3665.40,3667.29,0,0
2006-01-11,09:20:00,3666.83,3669.24,3665.75,3665.75,0,0
2006-01-11,09:25:00,3665.89,3668.68,3665.17,3665.17,0,0
2006-01-11,09:30:00,3665.10,3665.10,3662.27,3663.66,0,0
2006-01-11,09:35:00,3663.67,3664.48,3663.24,3663.56,0,0
2006-01-11,09:40:00,3664.09,3664.09,3662.48,3663.55,0,0
2006-01-11,09:45:00,3663.55,3666.19,3663.19,3665.61,0,0
2006-01-11,09:50:00,3665.49,3665.49,3664.41,3664.80,0,0
2006-01-11,09:55:00,3666.01,3666.01,3663.41,3663.88,0,0
2006-01-11,10:00:00,3664.04,3666.15,3663.51,3665.51,0,0
2006-01-11,10:05:00,3665.76,3667.95,3665.34,3667.76,0,0
2006-01-11,10:10:00,3667.82,3667.82,3666.12,3666.26,0,0
2006-01-11,10:15:00,3666.26,3666.66,3665.79,3666.54,0,0
2006-01-11,10:20:00,3666.28,3667.72,3666.28,3666.77,0,0
2006-01-11,10:25:00,3666.45,3666.52,3665.21,3665.40,0,0
2006-01-11,10:30:00,3665.51,3666.56,3665.07,3666.48,0,0
2006-01-11,10:35:00,3666.24,3666.24,3664.00,3664.71,0,0
2006-01-11,10:40:00,3664.58,3666.43,3664.48,3665.98,0,0
2006-01-11,10:45:00,3665.57,3666.14,3665.57,3665.60,0,0
2006-01-11,10:50:00,3665.53,3665.82,3664.76,3665.13,0,0
2006-01-11,10:55:00,3665.26,3665.47,3664.51,3665.33,0,0
2006-01-11,11:00:00,3665.86,3667.13,3665.47,3665.80,0,0
2006-01-11,11:05:00,3665.44,3665.74,3665.02,3665.26,0,0
2006-01-11,11:10:00,3665.44,3666.44,3665.44,3666.26,0,0
2006-01-11,11:15:00,3666.03,3667.39,3665.27,3666.71,0,0
2006-01-11,11:20:00,3667.21,3669.97,3667.21,3669.97,0,0
2006-01-11,11:25:00,3669.58,3670.21,3669.58,3669.81,0,0
2006-01-11,11:30:00,3670.01,3671.27,3669.93,3670.89,0,0
2006-01-11,11:35:00,3671.17,3671.48,3669.96,3671.33,0,0
2006-01-11,11:40:00,3671.15,3671.48,3669.99,3670.36,0,0
2006-01-11,11:45:00,3670.79,3671.09,3670.38,3670.90,0,0
2006-01-11,11:50:00,3670.72,3670.81,3669.88,3670.70,0,0
2006-01-11,11:55:00,3670.52,3671.11,3670.22,3670.93,0,0
2006-01-11,12:00:00,3670.76,3673.70,3670.76,3673.70,0,0
2006-01-11,12:05:00,3671.38,3674.31,3671.38,3672.84,0,0
2006-01-11,12:10:00,3672.70,3673.29,3672.36,3672.41,0,0
2006-01-11,12:15:00,3672.09,3672.44,3671.79,3672.24,0,0
2006-01-11,12:20:00,3671.99,3672.56,3671.95,3672.42,0,0
2006-01-11,12:25:00,3672.24,3673.13,3672.24,3672.44,0,0
2006-01-11,12:30:00,3672.40,3672.95,3672.35,3672.73,0,0
2006-01-11,12:35:00,3672.72,3672.89,3672.36,3672.76,0,0
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2006-01-11,12:45:00,3669.82,3670.15,3669.47,3670.15,0,0
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2006-01-11,12:55:00,3669.29,3669.92,3669.23,3669.58,0,0
2006-01-11,13:00:00,3669.54,3669.67,3668.70,3669.33,0,0
2006-01-11,13:05:00,3669.25,3669.25,3667.29,3667.46,0,0
2006-01-11,13:10:00,3667.33,3667.33,3665.21,3665.21,0,0
2006-01-11,13:15:00,3664.68,3665.53,3664.15,3665.39,0,0
2006-01-11,13:20:00,3665.36,3665.36,3664.51,3664.55,0,0
2006-01-11,13:25:00,3664.33,3664.60,3663.29,3663.29,0,0
2006-01-11,13:30:00,3663.19,3663.57,3662.83,3663.30,0,0
2006-01-11,13:35:00,3663.23,3663.72,3660.34,3660.54,0,0
2006-01-11,13:40:00,3660.68,3662.14,3659.87,3662.14,0,0
2006-01-11,13:45:00,3662.46,3665.14,3662.30,3664.90,0,0
2006-01-11,13:50:00,3665.03,3665.27,3664.05,3664.15,0,0
2006-01-11,13:55:00,3663.99,3664.87,3663.90,3664.75,0,0
2006-01-11,14:00:00,3664.84,3665.60,3664.25,3665.17,0,0
2006-01-11,14:05:00,3665.17,3665.17,3664.35,3664.64,0,0
2006-01-11,14:10:00,3664.59,3664.59,3663.78,3664.03,0,0
2006-01-11,14:15:00,3663.88,3664.47,3663.75,3664.15,0,0
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2006-01-11,14:25:00,3664.08,3664.09,3662.43,3662.76,0,0
2006-01-11,14:30:00,3662.84,3663.32,3662.32,3663.32,0,0
2006-01-11,14:35:00,3663.43,3663.43,3662.55,3663.09,0,0
2006-01-11,14:40:00,3662.73,3663.25,3662.06,3663.25,0,0
2006-01-11,14:45:00,3663.49,3665.02,3663.43,3664.70,0,0
2006-01-11,14:50:00,3664.85,3665.32,3664.39,3664.75,0,0
2006-01-11,14:55:00,3664.66,3665.46,3664.50,3665.23,0,0
2006-01-11,15:00:00,3665.28,3665.79,3665.13,3665.54,0,0
2006-01-11,15:05:00,3665.32,3665.32,3662.77,3663.19,0,0
2006-01-11,15:10:00,3663.20,3663.64,3663.03,3663.50,0,0
2006-01-11,15:15:00,3663.72,3663.81,3663.35,3663.47,0,0
2006-01-11,15:20:00,3663.48,3663.58,3662.50,3663.45,0,0
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2006-01-11,15:30:00,3662.14,3662.61,3661.88,3662.17,0,0
2006-01-11,15:35:00,3662.54,3662.54,3659.13,3659.49,0,0
2006-01-11,15:40:00,3659.60,3659.67,3656.12,3656.12,0,0
2006-01-11,15:45:00,3656.14,3656.46,3655.07,3655.89,0,0
2006-01-11,15:50:00,3656.11,3657.02,3654.91,3656.58,0,0
2006-01-11,15:55:00,3656.64,3656.97,3655.42,3655.58,0,0
2006-01-11,16:00:00,3655.92,3658.21,3655.79,3657.52,0,0
2006-01-11,16:05:00,3658.05,3659.29,3656.77,3658.09,0,0
2006-01-11,16:10:00,3658.66,3660.50,3658.66,3658.67,0,0
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2006-01-11,16:25:00,3662.56,3664.62,3662.37,3664.39,0,0
2006-01-11,16:30:00,3664.48,3664.48,3662.96,3663.61,0,0
2006-01-11,16:35:00,3663.75,3664.20,3659.79,3659.79,0,0
2006-01-11,16:40:00,3658.41,3660.99,3658.01,3660.99,0,0
2006-01-11,16:45:00,3661.09,3661.44,3659.48,3659.94,0,0
2006-01-11,16:50:00,3660.43,3661.01,3658.75,3659.51,0,0
2006-01-11,16:55:00,3659.69,3659.84,3656.30,3656.30,0,0
2006-01-11,17:00:00,3656.23,3657.94,3655.76,3657.94,0,0
2006-01-11,17:05:00,3658.26,3658.34,3656.81,3657.87,0,0
2006-01-11,17:10:00,3658.14,3660.82,3658.13,3660.82,0,0
2006-01-11,17:15:00,3660.98,3661.25,3660.47,3661.05,0,0
2006-01-11,17:20:00,3661.96,3664.62,3661.96,3664.00,0,0
2006-01-11,17:25:00,3663.94,3663.98,3662.72,3663.74,0,0
2006-01-11,17:30:00,3663.25,3668.61,3663.25,3668.61,0,0
2006-01-12,09:05:00,3667.16,3667.49,3659.17,3660.16,0,0
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2006-01-12,09:40:00,3665.00,3665.96,3664.23,3665.79,0,0
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2006-01-12,10:20:00,3661.27,3664.88,3661.27,3664.19,0,0
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2006-01-12,10:40:00,3663.65,3667.03,3663.56,3667.03,0,0
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2006-01-12,10:50:00,3665.95,3666.73,3665.69,3666.36,0,0
2006-01-12,10:55:00,3666.34,3666.83,3665.95,3666.82,0,0
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2006-01-12,11:05:00,3665.93,3666.57,3665.78,3665.90,0,0
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2006-01-12,11:20:00,3662.61,3662.61,3661.08,3661.39,0,0
2006-01-12,11:25:00,3661.27,3663.80,3661.26,3663.32,0,0
2006-01-12,11:30:00,3663.50,3664.74,3663.50,3664.54,0,0
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2006-01-12,11:40:00,3663.33,3663.86,3663.11,3663.41,0,0
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2006-01-12,11:50:00,3663.30,3663.96,3663.03,3663.14,0,0
2006-01-12,11:55:00,3663.26,3663.75,3663.07,3663.07,0,0
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2006-01-12,12:05:00,3663.10,3664.45,3663.10,3664.21,0,0
2006-01-12,12:10:00,3663.93,3663.93,3662.79,3662.79,0,0
2006-01-12,12:15:00,3663.06,3663.88,3662.45,3663.73,0,0
2006-01-12,12:20:00,3663.70,3663.70,3662.37,3662.41,0,0
2006-01-12,12:25:00,3662.18,3662.18,3660.84,3660.84,0,0
2006-01-12,12:30:00,3660.77,3660.77,3659.25,3660.11,0,0
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2006-01-12,12:40:00,3659.73,3659.73,3658.95,3659.64,0,0
2006-01-12,12:45:00,3659.77,3659.95,3659.44,3659.53,0,0
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2006-01-12,12:55:00,3659.76,3660.71,3659.59,3660.56,0,0
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2006-01-12,13:05:00,3660.26,3660.87,3659.09,3659.09,0,0
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2006-01-12,13:15:00,3658.77,3658.94,3656.99,3657.27,0,0
2006-01-12,13:20:00,3657.09,3658.00,3657.00,3657.71,0,0
2006-01-12,13:25:00,3657.75,3658.55,3657.36,3658.43,0,0
2006-01-12,13:30:00,3658.48,3658.91,3658.44,3658.77,0,0
2006-01-12,13:35:00,3658.74,3658.88,3658.37,3658.37,0,0
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2006-01-12,13:55:00,3657.75,3659.01,3657.69,3658.54,0,0
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2006-01-12,14:05:00,3658.41,3659.47,3658.24,3659.31,0,0
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2006-01-12,14:30:00,3661.01,3661.81,3660.36,3661.81,0,0
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2006-01-12,14:40:00,3662.68,3663.73,3662.01,3662.33,0,0
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2006-01-12,15:05:00,3664.09,3665.90,3663.85,3665.90,0,0
2006-01-12,15:10:00,3665.94,3665.95,3664.93,3665.19,0,0
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2006-01-12,15:20:00,3663.51,3664.25,3662.89,3663.20,0,0
2006-01-12,15:25:00,3663.15,3664.71,3663.15,3664.60,0,0
2006-01-12,15:30:00,3664.39,3664.94,3664.09,3664.48,0,0
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2006-01-12,15:45:00,3663.41,3663.60,3662.25,3662.97,0,0
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2006-01-12,15:55:00,3660.86,3662.46,3660.86,3661.17,0,0
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2006-01-12,16:05:00,3661.98,3663.56,3661.98,3663.56,0,0
2006-01-12,16:10:00,3663.71,3665.47,3663.71,3664.69,0,0
2006-01-12,16:15:00,3664.69,3665.37,3663.23,3663.36,0,0
2006-01-12,16:20:00,3663.26,3663.44,3661.63,3662.36,0,0
2006-01-12,16:25:00,3662.76,3663.90,3662.76,3662.90,0,0
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2006-01-12,16:45:00,3663.31,3663.92,3662.74,3663.92,0,0
2006-01-12,16:50:00,3663.78,3666.91,3663.78,3666.91,0,0
2006-01-12,16:55:00,3667.03,3668.99,3666.83,3668.92,0,0
2006-01-12,17:00:00,3669.64,3671.85,3669.58,3671.85,0,0
2006-01-12,17:05:00,3672.14,3676.00,3671.88,3675.37,0,0
2006-01-12,17:10:00,3675.14,3675.14,3671.42,3671.61,0,0
2006-01-12,17:15:00,3671.78,3673.06,3671.78,3672.73,0,0
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2006-01-12,17:25:00,3668.87,3668.96,3667.52,3668.74,0,0
2006-01-12,17:30:00,3668.78,3670.39,3668.57,3670.20,0,0
2006-01-13,09:05:00,3670.27,3670.27,3657.31,3658.53,0,0
2006-01-13,09:10:00,3658.58,3659.26,3657.39,3657.39,0,0
2006-01-13,09:15:00,3657.65,3657.65,3653.57,3654.15,0,0
2006-01-13,09:20:00,3654.48,3656.45,3654.48,3654.91,0,0
2006-01-13,09:25:00,3654.77,3655.27,3651.08,3651.08,0,0
2006-01-13,09:30:00,3651.57,3652.13,3645.31,3646.64,0,0
2006-01-13,09:35:00,3647.04,3647.04,3645.59,3646.35,0,0
2006-01-13,09:40:00,3646.38,3648.00,3645.99,3646.24,0,0
2006-01-13,09:45:00,3646.43,3646.43,3641.40,3642.63,0,0
2006-01-13,09:50:00,3642.38,3645.51,3641.97,3645.51,0,0
2006-01-13,09:55:00,3645.70,3646.23,3644.59,3646.17,0,0
2006-01-13,10:00:00,3646.04,3646.26,3644.70,3644.70,0,0
2006-01-13,10:05:00,3644.67,3644.87,3640.20,3640.36,0,0
2006-01-13,10:10:00,3640.36,3640.42,3636.03,3636.81,0,0
2006-01-13,10:15:00,3637.18,3638.73,3636.73,3638.27,0,0
2006-01-13,10:20:00,3637.83,3637.83,3631.91,3635.14,0,0
2006-01-13,10:25:00,3635.09,3635.92,3634.37,3635.65,0,0
2006-01-13,10:30:00,3635.77,3637.95,3635.77,3637.01,0,0
2006-01-13,10:35:00,3636.61,3636.63,3634.77,3635.15,0,0
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2006-01-13,10:45:00,3635.67,3636.68,3635.39,3636.43,0,0
2006-01-13,10:50:00,3636.66,3638.86,3636.66,3638.86,0,0
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2006-01-13,11:10:00,3635.34,3635.34,3632.71,3632.76,0,0
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2006-01-13,13:05:00,3635.76,3635.76,3633.33,3633.93,0,0
2006-01-13,13:10:00,3633.83,3634.25,3632.33,3632.50,0,0
2006-01-13,13:15:00,3632.41,3633.44,3632.24,3633.40,0,0
2006-01-13,13:20:00,3633.35,3634.78,3633.17,3634.78,0,0
2006-01-13,13:25:00,3634.57,3634.74,3634.27,3634.27,0,0
2006-01-13,13:30:00,3634.23,3634.62,3632.52,3632.52,0,0
2006-01-13,13:35:00,3632.75,3632.75,3631.68,3631.83,0,0
2006-01-13,13:40:00,3630.92,3631.17,3627.81,3628.20,0,0
2006-01-13,13:45:00,3628.20,3628.80,3626.56,3627.20,0,0
2006-01-13,13:50:00,3627.21,3627.90,3627.21,3627.90,0,0
2006-01-13,13:55:00,3627.81,3628.48,3627.27,3627.96,0,0
2006-01-13,14:00:00,3628.96,3631.03,3628.96,3630.73,0,0
2006-01-13,14:05:00,3630.37,3632.96,3630.24,3632.82,0,0
2006-01-13,14:10:00,3632.81,3632.81,3627.42,3627.42,0,0
2006-01-13,14:15:00,3627.42,3628.12,3627.21,3627.83,0,0
2006-01-13,14:20:00,3627.71,3629.31,3627.56,3629.07,0,0
2006-01-13,14:25:00,3629.22,3630.69,3629.20,3630.69,0,0
2006-01-13,14:30:00,3630.79,3631.31,3630.51,3630.52,0,0
2006-01-13,14:35:00,3630.45,3631.79,3627.70,3631.28,0,0
2006-01-13,14:40:00,3631.19,3633.85,3631.19,3633.45,0,0
2006-01-13,14:45:00,3633.73,3634.25,3632.58,3633.10,0,0
2006-01-13,14:50:00,3633.19,3633.19,3630.85,3631.07,0,0
2006-01-13,14:55:00,3631.07,3631.83,3630.43,3631.45,0,0
2006-01-13,15:00:00,3631.56,3632.45,3631.05,3631.05,0,0
2006-01-13,15:05:00,3631.14,3631.39,3630.35,3630.35,0,0
2006-01-13,15:10:00,3630.55,3630.98,3630.26,3630.49,0,0
2006-01-13,15:15:00,3630.82,3631.24,3630.42,3630.56,0,0
2006-01-13,15:20:00,3630.45,3630.62,3626.95,3627.77,0,0
2006-01-13,15:25:00,3627.56,3627.77,3627.03,3627.46,0,0
2006-01-13,15:30:00,3627.46,3627.72,3626.60,3626.74,0,0
2006-01-13,15:35:00,3626.91,3629.84,3626.91,3629.47,0,0
2006-01-13,15:40:00,3629.27,3632.98,3629.27,3632.98,0,0
2006-01-13,15:45:00,3633.14,3633.84,3630.07,3630.07,0,0
2006-01-13,15:50:00,3629.98,3630.84,3629.27,3629.68,0,0
2006-01-13,15:55:00,3629.08,3630.54,3628.57,3630.44,0,0
2006-01-13,16:00:00,3630.53,3631.41,3630.06,3630.79,0,0
2006-01-13,16:05:00,3630.85,3630.92,3629.02,3629.79,0,0
2006-01-13,16:10:00,3630.00,3631.55,3629.77,3631.23,0,0
2006-01-13,16:15:00,3631.05,3631.05,3625.77,3625.77,0,0
2006-01-13,16:20:00,3625.64,3625.74,3622.65,3623.45,0,0
2006-01-13,16:25:00,3623.66,3625.40,3622.04,3625.01,0,0
2006-01-13,16:30:00,3624.73,3624.90,3622.07,3624.50,0,0
2006-01-13,16:35:00,3624.97,3625.26,3622.28,3624.04,0,0
2006-01-13,16:40:00,3624.20,3624.55,3623.48,3623.93,0,0
2006-01-13,16:45:00,3623.85,3623.96,3620.43,3620.43,0,0
2006-01-13,16:50:00,3619.30,3619.88,3618.06,3618.06,0,0
2006-01-13,16:55:00,3618.09,3621.61,3618.07,3621.61,0,0
2006-01-13,17:00:00,3621.45,3622.68,3620.57,3622.55,0,0
2006-01-13,17:05:00,3622.96,3625.20,3622.71,3624.22,0,0
2006-01-13,17:10:00,3624.31,3624.66,3623.62,3624.45,0,0
2006-01-13,17:15:00,3624.68,3628.99,3624.25,3628.16,0,0
2006-01-13,17:20:00,3628.72,3631.75,3628.72,3630.19,0,0
2006-01-13,17:25:00,3630.09,3630.23,3628.17,3628.76,0,0
2006-01-13,17:30:00,3629.19,3630.13,3628.99,3629.25,0,0
2006-01-16,09:05:00,3628.73,3630.54,3624.88,3630.54,0,0
2006-01-16,09:10:00,3629.87,3629.87,3623.19,3623.56,0,0
2006-01-16,09:15:00,3623.29,3623.29,3621.03,3622.68,0,0
2006-01-16,09:20:00,3622.77,3626.61,3622.41,3626.61,0,0
2006-01-16,09:25:00,3626.46,3626.64,3625.27,3625.54,0,0
2006-01-16,09:30:00,3625.88,3627.27,3625.88,3627.06,0,0
2006-01-16,09:35:00,3626.93,3626.93,3624.53,3624.74,0,0
2006-01-16,09:40:00,3624.87,3626.76,3624.83,3626.76,0,0
2006-01-16,09:45:00,3627.08,3628.65,3626.90,3628.29,0,0
2006-01-16,09:50:00,3628.30,3631.04,3628.30,3631.04,0,0
2006-01-16,09:55:00,3631.01,3631.36,3628.77,3629.14,0,0
2006-01-16,10:00:00,3628.20,3628.33,3627.48,3628.09,0,0
2006-01-16,10:05:00,3628.39,3630.39,3627.98,3630.38,0,0
2006-01-16,10:10:00,3630.59,3631.41,3630.59,3631.41,0,0
2006-01-16,10:15:00,3631.42,3632.48,3631.11,3631.11,0,0
2006-01-16,10:20:00,3631.48,3631.82,3630.81,3631.65,0,0
2006-01-16,10:25:00,3631.67,3631.67,3630.26,3630.41,0,0
2006-01-16,10:30:00,3630.80,3634.43,3630.80,3633.49,0,0
2006-01-16,10:35:00,3633.91,3635.36,3633.91,3634.74,0,0
2006-01-16,10:40:00,3634.69,3634.69,3633.00,3633.00,0,0
2006-01-16,10:45:00,3633.16,3634.21,3633.14,3633.31,0,0
2006-01-16,10:50:00,3633.19,3633.37,3632.70,3632.77,0,0
2006-01-16,10:55:00,3632.63,3632.63,3631.14,3631.56,0,0
2006-01-16,11:00:00,3631.62,3632.46,3629.97,3630.24,0,0
2006-01-16,11:05:00,3630.06,3630.70,3629.69,3630.54,0,0
2006-01-16,11:10:00,3630.65,3631.38,3630.51,3631.13,0,0
2006-01-16,11:15:00,3631.49,3632.10,3631.16,3631.80,0,0
2006-01-16,11:20:00,3631.63,3631.98,3631.45,3631.90,0,0
2006-01-16,11:25:00,3631.33,3632.32,3631.28,3632.03,0,0
2006-01-16,11:30:00,3632.24,3633.40,3632.23,3633.22,0,0
2006-01-16,11:35:00,3633.41,3634.38,3633.17,3634.30,0,0
2006-01-16,11:40:00,3634.19,3636.01,3634.19,3635.52,0,0
2006-01-16,11:45:00,3635.79,3635.79,3634.33,3635.52,0,0
2006-01-16,11:50:00,3635.26,3635.59,3634.95,3635.51,0,0
2006-01-16,11:55:00,3635.25,3635.46,3634.87,3635.04,0,0
2006-01-16,12:00:00,3635.10,3635.10,3634.00,3635.01,0,0
2006-01-16,12:05:00,3634.81,3636.64,3634.81,3636.00,0,0
2006-01-16,12:10:00,3635.65,3637.11,3635.65,3636.70,0,0
2006-01-16,12:15:00,3636.73,3636.78,3635.84,3635.84,0,0
2006-01-16,12:20:00,3635.86,3636.42,3635.40,3636.12,0,0
2006-01-16,12:25:00,3636.23,3636.51,3636.13,3636.37,0,0
2006-01-16,12:30:00,3636.31,3636.67,3636.01,3636.40,0,0
2006-01-16,12:35:00,3636.09,3636.63,3635.90,3636.33,0,0
2006-01-16,12:40:00,3636.09,3636.15,3635.26,3635.95,0,0
2006-01-16,12:45:00,3636.17,3636.52,3635.79,3636.43,0,0
2006-01-16,12:50:00,3636.30,3636.73,3636.17,3636.49,0,0
2006-01-16,12:55:00,3636.69,3636.74,3636.06,3636.68,0,0
2006-01-16,13:00:00,3636.79,3637.00,3636.27,3636.59,0,0
2006-01-16,13:05:00,3636.30,3636.97,3635.98,3636.36,0,0
2006-01-16,13:10:00,3636.48,3636.92,3636.28,3636.92,0,0
2006-01-16,13:15:00,3636.79,3636.89,3636.30,3636.66,0,0
2006-01-16,13:20:00,3636.63,3636.68,3636.11,3636.11,0,0
2006-01-16,13:25:00,3636.29,3637.04,3636.18,3636.77,0,0
2006-01-16,13:30:00,3636.91,3636.91,3636.23,3636.80,0,0
2006-01-16,13:35:00,3636.36,3636.49,3636.07,3636.28,0,0
2006-01-16,13:40:00,3636.40,3636.74,3636.15,3636.61,0,0
2006-01-16,13:45:00,3636.67,3636.95,3636.36,3636.95,0,0
2006-01-16,13:50:00,3637.03,3637.30,3636.70,3637.17,0,0
2006-01-16,13:55:00,3636.97,3637.41,3636.76,3637.09,0,0
2006-01-16,14:00:00,3636.98,3637.40,3636.61,3636.95,0,0
2006-01-16,14:05:00,3636.85,3636.85,3636.36,3636.55,0,0
2006-01-16,14:10:00,3636.67,3636.83,3636.01,3636.66,0,0
2006-01-16,14:15:00,3636.66,3637.16,3636.29,3637.16,0,0
2006-01-16,14:20:00,3637.33,3637.33,3636.74,3637.06,0,0
2006-01-16,14:25:00,3636.82,3637.29,3636.77,3636.86,0,0
2006-01-16,14:30:00,3636.96,3637.53,3636.92,3637.22,0,0
2006-01-16,14:35:00,3637.36,3637.91,3637.23,3637.69,0,0
2006-01-16,14:40:00,3637.77,3638.30,3637.42,3638.03,0,0
2006-01-16,14:45:00,3638.11,3638.76,3638.03,3638.56,0,0
2006-01-16,14:50:00,3638.55,3639.33,3638.36,3639.12,0,0
2006-01-16,14:55:00,3638.99,3639.40,3638.80,3639.23,0,0
2006-01-16,15:00:00,3638.94,3639.54,3638.65,3639.41,0,0
2006-01-16,15:05:00,3639.96,3640.51,3639.69,3640.06,0,0
2006-01-16,15:10:00,3640.44,3640.44,3639.38,3639.94,0,0
2006-01-16,15:15:00,3639.87,3640.25,3639.49,3639.49,0,0
2006-01-16,15:20:00,3639.57,3639.87,3638.94,3639.21,0,0
2006-01-16,15:25:00,3639.25,3639.68,3638.92,3639.47,0,0
2006-01-16,15:30:00,3639.42,3639.42,3638.52,3638.52,0,0
2006-01-16,15:35:00,3638.29,3639.18,3638.18,3639.18,0,0
2006-01-16,15:40:00,3639.18,3640.17,3639.18,3639.94,0,0
2006-01-16,15:45:00,3639.45,3639.95,3639.22,3639.23,0,0
2006-01-16,15:50:00,3639.07,3639.61,3639.07,3639.58,0,0
2006-01-16,15:55:00,3640.08,3640.14,3639.42,3639.61,0,0
2006-01-16,16:00:00,3639.68,3639.87,3639.07,3639.36,0,0
2006-01-16,16:05:00,3639.40,3641.53,3639.40,3641.13,0,0
2006-01-16,16:10:00,3641.41,3641.41,3640.70,3640.88,0,0
2006-01-16,16:15:00,3640.77,3641.27,3640.44,3641.04,0,0
2006-01-16,16:20:00,3641.43,3643.55,3641.43,3643.52,0,0
2006-01-16,16:25:00,3643.21,3645.56,3643.04,3645.56,0,0
2006-01-16,16:30:00,3645.49,3647.13,3645.49,3646.61,0,0
2006-01-16,16:35:00,3646.70,3647.18,3644.93,3645.15,0,0
2006-01-16,16:40:00,3645.46,3645.46,3644.60,3645.15,0,0
2006-01-16,16:45:00,3645.00,3645.71,3645.00,3645.56,0,0
2006-01-16,16:50:00,3645.46,3647.29,3645.46,3647.29,0,0
2006-01-16,16:55:00,3647.24,3648.64,3646.59,3647.63,0,0
2006-01-16,17:00:00,3647.98,3648.43,3647.38,3648.30,0,0
2006-01-16,17:05:00,3648.19,3648.19,3646.82,3646.82,0,0
2006-01-16,17:10:00,3646.99,3647.30,3646.63,3647.01,0,0
2006-01-16,17:15:00,3647.11,3647.43,3646.24,3646.55,0,0
2006-01-16,17:20:00,3646.46,3647.98,3646.46,3647.64,0,0
2006-01-16,17:25:00,3647.93,3649.10,3647.39,3648.10,0,0
2006-01-16,17:30:00,3647.85,3648.16,3644.32,3644.41,0,0
2006-01-17,09:05:00,3639.57,3639.57,3618.99,3621.85,0,0
2006-01-17,09:10:00,3622.45,3622.45,3610.65,3613.72,0,0
2006-01-17,09:15:00,3614.34,3618.02,3613.94,3618.02,0,0
2006-01-17,09:20:00,3617.85,3620.82,3617.64,3618.05,0,0
2006-01-17,09:25:00,3617.68,3620.10,3615.31,3620.10,0,0
2006-01-17,09:30:00,3620.18,3620.18,3618.32,3619.05,0,0
2006-01-17,09:35:00,3618.65,3618.65,3616.13,3616.89,0,0
2006-01-17,09:40:00,3617.06,3620.48,3616.32,3620.34,0,0
2006-01-17,09:45:00,3619.63,3620.45,3617.46,3617.46,0,0
2006-01-17,09:50:00,3617.72,3618.47,3616.21,3618.18,0,0
2006-01-17,09:55:00,3618.15,3618.15,3615.00,3616.50,0,0
2006-01-17,10:00:00,3616.25,3616.34,3610.72,3612.52,0,0
2006-01-17,10:05:00,3612.95,3612.95,3607.09,3608.41,0,0
2006-01-17,10:10:00,3608.60,3609.99,3608.27,3608.44,0,0
2006-01-17,10:15:00,3608.56,3610.04,3607.23,3610.04,0,0
2006-01-17,10:20:00,3610.32,3611.84,3608.68,3608.68,0,0
2006-01-17,10:25:00,3608.92,3612.15,3608.92,3612.15,0,0
2006-01-17,10:30:00,3612.48,3614.64,3612.10,3614.53,0,0
2006-01-17,10:35:00,3614.57,3614.99,3613.94,3614.43,0,0
2006-01-17,10:40:00,3614.32,3616.01,3614.26,3616.01,0,0
2006-01-17,10:45:00,3616.07,3617.48,3615.38,3615.71,0,0
2006-01-17,10:50:00,3616.07,3616.94,3615.90,3615.94,0,0
2006-01-17,10:55:00,3616.10,3616.10,3614.54,3614.77,0,0
2006-01-17,11:00:00,3614.94,3617.02,3614.72,3616.80,0,0
2006-01-17,11:05:00,3616.68,3617.06,3615.64,3616.03,0,0
2006-01-17,11:10:00,3616.06,3616.49,3615.57,3616.06,0,0
2006-01-17,11:15:00,3616.14,3616.65,3615.91,3615.95,0,0
2006-01-17,11:20:00,3616.06,3616.87,3615.87,3616.53,0,0
2006-01-17,11:25:00,3616.31,3617.11,3615.97,3617.11,0,0
2006-01-17,11:30:00,3617.12,3617.52,3613.09,3613.09,0,0
2006-01-17,11:35:00,3612.43,3613.47,3612.36,3612.92,0,0
2006-01-17,11:40:00,3612.95,3613.60,3612.55,3612.89,0,0
2006-01-17,11:45:00,3613.02,3613.53,3612.62,3612.96,0,0
2006-01-17,11:50:00,3612.62,3613.59,3612.42,3613.44,0,0
2006-01-17,11:55:00,3613.68,3614.03,3612.53,3612.53,0,0
2006-01-17,12:00:00,3613.36,3614.21,3612.50,3614.21,0,0
2006-01-17,12:05:00,3613.38,3614.95,3612.14,3612.54,0,0
2006-01-17,12:10:00,3612.48,3612.69,3612.06,3612.40,0,0
2006-01-17,12:15:00,3612.45,3612.45,3611.67,3612.14,0,0
2006-01-17,12:20:00,3612.35,3614.15,3612.03,3614.15,0,0
2006-01-17,12:25:00,3614.43,3616.49,3614.40,3616.28,0,0
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2006-01-17,12:35:00,3616.64,3616.65,3615.64,3615.65,0,0
2006-01-17,12:40:00,3615.46,3615.57,3614.53,3614.80,0,0
2006-01-17,12:45:00,3614.69,3616.04,3614.69,3615.90,0,0
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2006-01-17,12:55:00,3615.59,3615.59,3614.73,3614.97,0,0
2006-01-17,13:00:00,3614.86,3614.99,3614.61,3614.89,0,0
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2006-01-17,13:10:00,3615.50,3615.87,3612.39,3612.63,0,0
2006-01-17,13:15:00,3612.84,3613.82,3612.60,3613.51,0,0
2006-01-17,13:20:00,3613.63,3613.67,3611.76,3612.20,0,0
2006-01-17,13:25:00,3612.24,3613.71,3612.08,3613.71,0,0
2006-01-17,13:30:00,3613.48,3614.36,3613.48,3614.01,0,0
2006-01-17,13:35:00,3614.07,3614.07,3612.45,3613.11,0,0
2006-01-17,13:40:00,3612.75,3612.76,3611.61,3611.89,0,0
2006-01-17,13:45:00,3611.96,3613.08,3611.71,3612.86,0,0
2006-01-17,13:50:00,3613.00,3613.35,3612.46,3612.84,0,0
2006-01-17,13:55:00,3612.90,3613.37,3612.56,3612.63,0,0
2006-01-17,14:00:00,3612.86,3613.15,3612.48,3612.68,0,0
2006-01-17,14:05:00,3612.79,3612.79,3612.30,3612.47,0,0
2006-01-17,14:10:00,3612.01,3612.49,3611.16,3611.31,0,0
2006-01-17,14:15:00,3611.38,3611.38,3610.60,3610.66,0,0
2006-01-17,14:20:00,3610.35,3610.57,3609.58,3610.57,0,0
2006-01-17,14:25:00,3610.50,3610.67,3610.31,3610.42,0,0
2006-01-17,14:30:00,3610.17,3610.77,3608.98,3609.14,0,0
2006-01-17,14:35:00,3609.14,3609.45,3606.54,3606.86,0,0
2006-01-17,14:40:00,3607.10,3608.58,3606.57,3608.58,0,0
2006-01-17,14:45:00,3608.58,3610.05,3607.88,3609.70,0,0
2006-01-17,14:50:00,3609.51,3609.85,3609.18,3609.79,0,0
2006-01-17,14:55:00,3609.94,3610.57,3609.94,3610.55,0,0
2006-01-17,15:00:00,3610.63,3611.49,3610.53,3611.08,0,0
2006-01-17,15:05:00,3611.26,3611.83,3610.98,3611.76,0,0
2006-01-17,15:10:00,3611.64,3612.38,3611.64,3611.93,0,0
2006-01-17,15:15:00,3611.85,3612.36,3611.76,3612.14,0,0
2006-01-17,15:20:00,3611.48,3612.70,3611.05,3612.00,0,0
2006-01-17,15:25:00,3611.54,3612.28,3611.54,3611.76,0,0
2006-01-17,15:30:00,3612.00,3612.09,3611.05,3612.09,0,0
2006-01-17,15:35:00,3612.03,3612.03,3609.80,3610.56,0,0
2006-01-17,15:40:00,3610.59,3610.89,3609.76,3610.72,0,0
2006-01-17,15:45:00,3610.78,3613.41,3610.78,3612.86,0,0
2006-01-17,15:50:00,3613.34,3617.16,3613.34,3616.70,0,0
2006-01-17,15:55:00,3616.65,3620.13,3616.36,3619.90,0,0
2006-01-17,16:00:00,3619.47,3619.47,3615.75,3615.75,0,0
2006-01-17,16:05:00,3615.57,3615.75,3613.67,3613.86,0,0
2006-01-17,16:10:00,3614.05,3615.88,3613.97,3615.15,0,0
2006-01-17,16:15:00,3615.11,3619.39,3614.88,3617.45,0,0
2006-01-17,16:20:00,3617.12,3617.12,3611.58,3613.13,0,0
2006-01-17,16:25:00,3612.81,3614.05,3610.21,3614.05,0,0
2006-01-17,16:30:00,3614.41,3615.98,3614.05,3615.56,0,0
2006-01-17,16:35:00,3615.10,3616.10,3614.27,3614.27,0,0
2006-01-17,16:40:00,3613.96,3613.96,3612.26,3612.70,0,0
2006-01-17,16:45:00,3612.37,3612.61,3609.40,3609.88,0,0
2006-01-17,16:50:00,3609.96,3610.70,3608.39,3610.49,0,0
2006-01-17,16:55:00,3610.91,3612.57,3610.91,3611.24,0,0
2006-01-17,17:00:00,3611.27,3612.14,3611.09,3611.69,0,0
2006-01-17,17:05:00,3612.55,3613.98,3612.35,3612.35,0,0
2006-01-17,17:10:00,3612.91,3615.40,3612.91,3615.02,0,0
2006-01-17,17:15:00,3615.23,3616.73,3614.14,3614.83,0,0
2006-01-17,17:20:00,3614.94,3616.02,3614.44,3615.85,0,0
2006-01-17,17:25:00,3615.64,3615.97,3612.92,3612.92,0,0
2006-01-17,17:30:00,3613.21,3613.21,3609.85,3610.07,0,0
2006-01-18,09:05:00,3609.34,3609.34,3560.30,3560.94,0,0
2006-01-18,09:10:00,3562.00,3562.00,3555.33,3559.26,0,0
2006-01-18,09:15:00,3558.77,3558.77,3554.02,3555.34,0,0
2006-01-18,09:20:00,3555.49,3556.59,3550.16,3552.78,0,0
2006-01-18,09:25:00,3552.15,3556.61,3551.97,3556.61,0,0
2006-01-18,09:30:00,3555.52,3558.55,3555.30,3558.55,0,0
2006-01-18,09:35:00,3559.29,3566.77,3559.29,3566.77,0,0
2006-01-18,09:40:00,3566.40,3566.40,3562.98,3562.98,0,0
2006-01-18,09:45:00,3561.66,3563.91,3561.11,3563.75,0,0
2006-01-18,09:50:00,3564.05,3564.97,3562.81,3563.79,0,0
2006-01-18,09:55:00,3563.73,3564.13,3561.89,3562.50,0,0
2006-01-18,10:00:00,3562.67,3565.70,3562.56,3565.58,0,0
2006-01-18,10:05:00,3565.42,3565.46,3563.70,3564.00,0,0
2006-01-18,10:10:00,3564.55,3565.04,3559.73,3561.80,0,0
2006-01-18,10:15:00,3561.86,3562.67,3560.56,3560.56,0,0
2006-01-18,10:20:00,3559.68,3559.75,3557.75,3559.75,0,0
2006-01-18,10:25:00,3559.52,3559.60,3555.33,3555.98,0,0
2006-01-18,10:30:00,3555.96,3558.67,3555.17,3558.25,0,0
2006-01-18,10:35:00,3556.12,3558.25,3556.03,3556.96,0,0
2006-01-18,10:40:00,3556.64,3557.65,3556.64,3556.90,0,0
2006-01-18,10:45:00,3556.98,3557.94,3556.92,3557.59,0,0
2006-01-18,10:50:00,3557.92,3559.76,3557.92,3558.52,0,0
2006-01-18,10:55:00,3558.61,3558.61,3556.36,3556.36,0,0
2006-01-18,11:00:00,3556.44,3558.66,3556.44,3558.55,0,0
2006-01-18,11:05:00,3558.59,3559.99,3558.42,3559.39,0,0
2006-01-18,11:10:00,3559.16,3561.17,3559.03,3561.17,0,0
2006-01-18,11:15:00,3561.31,3561.69,3560.79,3561.69,0,0
2006-01-18,11:20:00,3561.47,3563.20,3561.47,3563.02,0,0
2006-01-18,11:25:00,3562.52,3564.36,3562.52,3563.34,0,0
2006-01-18,11:30:00,3563.79,3564.11,3562.37,3562.48,0,0
2006-01-18,11:35:00,3562.23,3563.35,3562.23,3563.27,0,0
2006-01-18,11:40:00,3562.92,3563.32,3559.26,3560.34,0,0
2006-01-18,11:45:00,3560.52,3561.59,3560.18,3561.59,0,0
2006-01-18,11:50:00,3561.61,3562.19,3560.68,3561.46,0,0
2006-01-18,11:55:00,3561.16,3562.08,3561.16,3561.98,0,0
2006-01-18,12:00:00,3561.65,3562.47,3560.74,3560.74,0,0
2006-01-18,12:05:00,3561.57,3561.57,3560.05,3560.72,0,0
2006-01-18,12:10:00,3560.71,3561.25,3560.52,3560.94,0,0
2006-01-18,12:15:00,3560.83,3560.93,3559.55,3560.60,0,0
2006-01-18,12:20:00,3560.42,3560.55,3559.78,3560.41,0,0
2006-01-18,12:25:00,3560.38,3560.38,3559.11,3559.29,0,0
2006-01-18,12:30:00,3559.19,3559.78,3558.73,3559.71,0,0
2006-01-18,12:35:00,3559.42,3559.50,3558.86,3559.33,0,0
2006-01-18,12:40:00,3559.36,3559.68,3558.54,3558.59,0,0
2006-01-18,12:45:00,3558.65,3559.51,3558.13,3558.13,0,0
2006-01-18,12:50:00,3557.86,3558.69,3557.81,3557.81,0,0
2006-01-18,12:55:00,3558.16,3559.13,3558.16,3559.13,0,0
2006-01-18,13:00:00,3559.17,3559.17,3557.21,3557.89,0,0
2006-01-18,13:05:00,3558.11,3558.31,3557.33,3557.86,0,0
2006-01-18,13:10:00,3557.79,3560.39,3557.75,3560.14,0,0
2006-01-18,13:15:00,3560.29,3561.54,3560.16,3560.99,0,0
2006-01-18,13:20:00,3561.06,3563.77,3560.77,3563.77,0,0
2006-01-18,13:25:00,3563.89,3564.96,3563.70,3564.62,0,0
2006-01-18,13:30:00,3564.84,3567.44,3564.84,3567.44,0,0
2006-01-18,13:35:00,3567.66,3569.11,3567.44,3568.72,0,0
2006-01-18,13:40:00,3568.55,3569.13,3567.79,3567.79,0,0
2006-01-18,13:45:00,3567.65,3567.65,3566.46,3566.82,0,0
2006-01-18,13:50:00,3566.95,3567.53,3566.02,3566.03,0,0
2006-01-18,13:55:00,3566.02,3566.71,3565.87,3566.65,0,0
2006-01-18,14:00:00,3566.43,3567.66,3565.10,3565.52,0,0
2006-01-18,14:05:00,3565.42,3565.93,3564.96,3565.11,0,0
2006-01-18,14:10:00,3565.01,3565.01,3563.97,3564.18,0,0
2006-01-18,14:15:00,3564.27,3564.37,3563.62,3563.84,0,0
2006-01-18,14:20:00,3563.65,3564.35,3563.65,3564.35,0,0
2006-01-18,14:25:00,3564.28,3565.06,3563.96,3565.06,0,0
2006-01-18,14:30:00,3565.17,3565.45,3564.92,3565.45,0,0
2006-01-18,14:35:00,3565.22,3567.95,3565.22,3565.49,0,0
2006-01-18,14:40:00,3565.76,3565.76,3563.98,3565.31,0,0
2006-01-18,14:45:00,3565.43,3566.30,3564.84,3566.30,0,0
2006-01-18,14:50:00,3566.31,3566.39,3565.51,3565.87,0,0
2006-01-18,14:55:00,3565.82,3566.89,3565.71,3566.89,0,0
2006-01-18,15:00:00,3566.75,3569.20,3566.71,3569.20,0,0
2006-01-18,15:05:00,3569.13,3570.75,3569.13,3570.75,0,0
2006-01-18,15:10:00,3570.80,3574.25,3570.80,3574.23,0,0
2006-01-18,15:15:00,3574.52,3575.45,3574.49,3575.13,0,0
2006-01-18,15:20:00,3575.02,3575.02,3573.14,3573.51,0,0
2006-01-18,15:25:00,3573.30,3574.38,3573.25,3574.38,0,0
2006-01-18,15:30:00,3574.51,3574.77,3572.78,3572.78,0,0
2006-01-18,15:35:00,3572.43,3573.13,3571.42,3572.06,0,0
2006-01-18,15:40:00,3571.67,3571.67,3567.90,3568.26,0,0
2006-01-18,15:45:00,3568.43,3575.07,3568.43,3575.07,0,0
2006-01-18,15:50:00,3575.76,3579.21,3575.76,3577.15,0,0
2006-01-18,15:55:00,3576.66,3577.87,3576.22,3576.84,0,0
2006-01-18,16:00:00,3576.33,3576.33,3573.30,3573.61,0,0
2006-01-18,16:05:00,3573.75,3574.51,3572.95,3574.51,0,0
2006-01-18,16:10:00,3575.11,3579.43,3575.11,3579.43,0,0
2006-01-18,16:15:00,3579.45,3580.66,3578.84,3580.66,0,0
2006-01-18,16:20:00,3580.56,3583.28,3579.64,3582.55,0,0
2006-01-18,16:25:00,3582.31,3588.08,3582.03,3587.13,0,0
2006-01-18,16:30:00,3587.05,3587.93,3584.62,3584.93,0,0
2006-01-18,16:35:00,3584.93,3585.37,3584.00,3584.13,0,0
2006-01-18,16:40:00,3584.05,3584.05,3581.27,3581.27,0,0
2006-01-18,16:45:00,3581.21,3584.04,3580.75,3582.87,0,0
2006-01-18,16:50:00,3583.00,3584.13,3582.03,3582.13,0,0
2006-01-18,16:55:00,3580.96,3581.50,3579.76,3581.50,0,0
2006-01-18,17:00:00,3581.93,3582.13,3579.30,3579.30,0,0
2006-01-18,17:05:00,3579.24,3579.73,3578.60,3579.06,0,0
2006-01-18,17:10:00,3579.21,3579.59,3578.32,3578.38,0,0
2006-01-18,17:15:00,3577.74,3579.00,3577.74,3579.00,0,0
2006-01-18,17:20:00,3579.09,3579.09,3576.45,3576.85,0,0
2006-01-18,17:25:00,3577.11,3577.77,3576.78,3577.19,0,0
2006-01-18,17:30:00,3577.15,3577.60,3570.17,3570.17,0,0
2006-01-19,09:05:00,3572.19,3595.26,3572.19,3593.54,0,0
2006-01-19,09:10:00,3594.34,3597.34,3594.34,3596.54,0,0
2006-01-19,09:15:00,3596.77,3596.99,3593.77,3593.80,0,0
2006-01-19,09:20:00,3593.73,3594.80,3593.17,3594.80,0,0
2006-01-19,09:25:00,3594.78,3595.88,3588.68,3589.46,0,0
2006-01-19,09:30:00,3589.13,3589.88,3586.96,3589.88,0,0
2006-01-19,09:35:00,3590.04,3590.24,3589.08,3590.24,0,0
2006-01-19,09:40:00,3590.85,3593.26,3590.72,3593.26,0,0
2006-01-19,09:45:00,3593.09,3593.39,3588.70,3589.40,0,0
2006-01-19,09:50:00,3589.68,3590.98,3588.35,3588.45,0,0
2006-01-19,09:55:00,3588.56,3589.78,3588.45,3589.48,0,0
2006-01-19,10:00:00,3590.13,3590.84,3589.71,3589.94,0,0
2006-01-19,10:05:00,3589.78,3590.20,3586.86,3587.71,0,0
2006-01-19,10:10:00,3587.56,3591.07,3587.56,3590.60,0,0
2006-01-19,10:15:00,3590.96,3592.32,3590.96,3592.17,0,0
2006-01-19,10:20:00,3592.52,3593.08,3592.29,3592.94,0,0
2006-01-19,10:25:00,3592.71,3593.34,3592.58,3593.34,0,0
2006-01-19,10:30:00,3593.21,3594.37,3592.94,3594.37,0,0
2006-01-19,10:35:00,3594.26,3594.26,3591.80,3592.98,0,0
2006-01-19,10:40:00,3592.95,3593.64,3591.98,3593.56,0,0
2006-01-19,10:45:00,3593.54,3594.16,3592.57,3593.06,0,0
2006-01-19,10:50:00,3593.17,3593.23,3590.28,3590.28,0,0
2006-01-19,10:55:00,3590.19,3590.54,3589.10,3589.10,0,0
2006-01-19,11:00:00,3589.17,3589.98,3588.66,3589.18,0,0
2006-01-19,11:05:00,3589.32,3590.16,3589.20,3589.48,0,0
2006-01-19,11:10:00,3589.79,3590.03,3588.21,3588.73,0,0
2006-01-19,11:15:00,3588.39,3588.83,3587.12,3588.73,0,0
2006-01-19,11:20:00,3588.89,3589.86,3588.62,3589.64,0,0
2006-01-19,11:25:00,3589.96,3590.88,3589.74,3590.88,0,0
2006-01-19,11:30:00,3590.61,3590.85,3590.00,3590.51,0,0
2006-01-19,11:35:00,3590.49,3591.04,3590.42,3590.92,0,0
2006-01-19,11:40:00,3590.99,3591.02,3589.98,3589.98,0,0
2006-01-19,11:45:00,3590.15,3590.15,3587.70,3587.72,0,0
2006-01-19,11:50:00,3587.89,3587.89,3587.06,3587.31,0,0
2006-01-19,11:55:00,3587.06,3589.27,3587.06,3588.94,0,0
2006-01-19,12:00:00,3588.16,3589.34,3587.86,3588.87,0,0
2006-01-19,12:05:00,3588.35,3589.15,3587.93,3588.73,0,0
2006-01-19,12:10:00,3588.84,3588.98,3583.35,3583.71,0,0
2006-01-19,12:15:00,3584.13,3584.99,3581.33,3582.74,0,0
2006-01-19,12:20:00,3582.78,3583.39,3580.11,3582.69,0,0
2006-01-19,12:25:00,3582.60,3584.76,3580.75,3584.66,0,0
2006-01-19,12:30:00,3584.48,3584.49,3581.79,3583.26,0,0
2006-01-19,12:35:00,3583.43,3583.46,3582.17,3582.21,0,0
2006-01-19,12:40:00,3582.08,3583.93,3582.08,3583.93,0,0
2006-01-19,12:45:00,3584.31,3587.37,3583.23,3587.37,0,0
2006-01-19,12:50:00,3587.46,3588.55,3586.40,3588.34,0,0
2006-01-19,12:55:00,3587.39,3588.10,3587.34,3587.96,0,0
2006-01-19,13:00:00,3588.07,3588.07,3587.13,3587.53,0,0
2006-01-19,13:05:00,3587.48,3587.54,3583.87,3583.87,0,0
2006-01-19,13:10:00,3583.62,3583.74,3581.23,3582.79,0,0
2006-01-19,13:15:00,3582.76,3584.42,3582.67,3584.14,0,0
2006-01-19,13:20:00,3584.21,3584.79,3583.96,3584.79,0,0
2006-01-19,13:25:00,3584.50,3584.87,3584.10,3584.34,0,0
2006-01-19,13:30:00,3584.73,3585.39,3584.49,3585.25,0,0
2006-01-19,13:35:00,3585.27,3588.99,3585.16,3588.99,0,0
2006-01-19,13:40:00,3589.21,3589.53,3587.00,3587.24,0,0
2006-01-19,13:45:00,3587.27,3587.27,3585.13,3585.13,0,0
2006-01-19,13:50:00,3585.19,3586.09,3584.71,3586.09,0,0
2006-01-19,13:55:00,3585.75,3586.47,3585.08,3585.08,0,0
2006-01-19,14:00:00,3585.58,3586.37,3585.27,3586.15,0,0
2006-01-19,14:05:00,3586.50,3588.46,3586.49,3588.46,0,0
2006-01-19,14:10:00,3588.50,3590.78,3588.08,3590.60,0,0
2006-01-19,14:15:00,3590.55,3591.26,3589.42,3589.73,0,0
2006-01-19,14:20:00,3589.54,3589.55,3588.66,3589.44,0,0
2006-01-19,14:25:00,3589.37,3590.90,3589.14,3590.39,0,0
2006-01-19,14:30:00,3590.61,3591.38,3590.33,3591.38,0,0
2006-01-19,14:35:00,3591.58,3592.08,3589.27,3590.23,0,0
2006-01-19,14:40:00,3590.51,3592.13,3590.51,3592.13,0,0
2006-01-19,14:45:00,3592.07,3593.50,3591.90,3593.06,0,0
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2006-01-19,14:55:00,3592.92,3593.16,3592.21,3592.21,0,0
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2006-01-19,15:05:00,3590.84,3591.86,3590.76,3591.68,0,0
2006-01-19,15:10:00,3591.59,3594.91,3591.59,3594.88,0,0
2006-01-19,15:15:00,3595.04,3595.83,3594.20,3595.24,0,0
2006-01-19,15:20:00,3595.46,3595.64,3593.74,3593.77,0,0
2006-01-19,15:25:00,3594.50,3594.50,3593.77,3593.95,0,0
2006-01-19,15:30:00,3593.94,3593.94,3591.31,3592.70,0,0
2006-01-19,15:35:00,3592.54,3592.54,3590.91,3592.17,0,0
2006-01-19,15:40:00,3592.06,3592.87,3591.07,3592.87,0,0
2006-01-19,15:45:00,3592.82,3593.30,3592.16,3593.30,0,0
2006-01-19,15:50:00,3593.63,3593.63,3591.90,3592.83,0,0
2006-01-19,15:55:00,3593.29,3593.37,3591.53,3591.53,0,0
2006-01-19,16:00:00,3590.68,3592.27,3590.20,3592.27,0,0
2006-01-19,16:05:00,3592.79,3594.11,3590.67,3592.53,0,0
2006-01-19,16:10:00,3591.92,3591.92,3588.73,3589.42,0,0
2006-01-19,16:15:00,3588.97,3588.97,3585.81,3588.79,0,0
2006-01-19,16:20:00,3588.59,3591.82,3588.59,3590.87,0,0
2006-01-19,16:25:00,3590.80,3590.80,3588.85,3588.85,0,0
2006-01-19,16:30:00,3588.85,3590.23,3588.55,3589.92,0,0
2006-01-19,16:35:00,3590.09,3591.17,3588.82,3589.56,0,0
2006-01-19,16:40:00,3588.87,3591.90,3588.87,3591.25,0,0
2006-01-19,16:45:00,3590.88,3591.27,3590.21,3591.01,0,0
2006-01-19,16:50:00,3591.40,3591.72,3589.43,3591.45,0,0
2006-01-19,16:55:00,3591.62,3592.44,3591.20,3591.78,0,0
2006-01-19,17:00:00,3590.69,3591.64,3589.79,3589.79,0,0
2006-01-19,17:05:00,3590.04,3591.85,3589.97,3590.87,0,0
2006-01-19,17:10:00,3591.52,3593.70,3591.38,3593.70,0,0
2006-01-19,17:15:00,3594.15,3595.51,3592.71,3594.61,0,0
2006-01-19,17:20:00,3594.11,3594.14,3591.36,3592.01,0,0
2006-01-19,17:25:00,3591.64,3592.01,3589.51,3590.92,0,0
2006-01-19,17:30:00,3591.04,3593.22,3590.88,3593.22,0,0
2006-01-20,09:05:00,3593.16,3603.17,3593.16,3602.66,0,0
2006-01-20,09:10:00,3602.94,3609.06,3602.94,3609.06,0,0
2006-01-20,09:15:00,3608.80,3608.87,3607.16,3608.62,0,0
2006-01-20,09:20:00,3608.51,3609.27,3606.89,3607.99,0,0
2006-01-20,09:25:00,3607.52,3607.94,3606.80,3607.44,0,0
2006-01-20,09:30:00,3607.48,3608.37,3604.61,3604.61,0,0
2006-01-20,09:35:00,3604.09,3605.92,3604.09,3605.92,0,0
2006-01-20,09:40:00,3605.66,3607.28,3604.94,3604.94,0,0
2006-01-20,09:45:00,3605.45,3606.46,3605.22,3605.73,0,0
2006-01-20,09:50:00,3606.25,3608.28,3606.25,3607.80,0,0
2006-01-20,09:55:00,3608.41,3611.05,3608.41,3609.55,0,0
2006-01-20,10:00:00,3609.60,3611.72,3609.13,3610.88,0,0
2006-01-20,10:05:00,3612.37,3612.37,3609.13,3609.59,0,0
2006-01-20,10:10:00,3609.49,3610.62,3608.85,3610.08,0,0
2006-01-20,10:15:00,3610.17,3610.27,3608.25,3608.91,0,0
2006-01-20,10:20:00,3609.26,3609.26,3607.06,3607.53,0,0
2006-01-20,10:25:00,3607.99,3609.60,3607.99,3609.60,0,0
2006-01-20,10:30:00,3610.03,3610.11,3608.42,3608.88,0,0
2006-01-20,10:35:00,3608.97,3609.79,3608.47,3609.79,0,0
2006-01-20,10:40:00,3609.67,3611.17,3609.57,3611.07,0,0
2006-01-20,10:45:00,3610.95,3610.95,3609.32,3610.01,0,0
2006-01-20,10:50:00,3609.68,3610.00,3607.96,3608.62,0,0
2006-01-20,10:55:00,3608.82,3609.26,3608.36,3609.10,0,0
2006-01-20,11:00:00,3609.13,3609.30,3608.51,3609.00,0,0
2006-01-20,11:05:00,3609.22,3609.22,3604.48,3604.81,0,0
2006-01-20,11:10:00,3604.76,3605.22,3604.65,3605.22,0,0
2006-01-20,11:15:00,3605.27,3605.27,3600.43,3601.66,0,0
2006-01-20,11:20:00,3601.96,3602.86,3601.96,3602.81,0,0
2006-01-20,11:25:00,3602.96,3603.47,3599.83,3599.83,0,0
2006-01-20,11:30:00,3599.51,3600.80,3598.90,3599.56,0,0
2006-01-20,11:35:00,3599.74,3600.64,3597.65,3598.88,0,0
2006-01-20,11:40:00,3598.73,3600.13,3598.53,3600.12,0,0
2006-01-20,11:45:00,3600.01,3601.83,3599.95,3601.83,0,0
2006-01-20,11:50:00,3601.60,3603.24,3601.58,3602.96,0,0
2006-01-20,11:55:00,3603.94,3607.00,3603.72,3605.25,0,0
2006-01-20,12:00:00,3605.13,3605.13,3599.29,3599.29,0,0
2006-01-20,12:05:00,3603.64,3603.64,3597.63,3599.14,0,0
2006-01-20,12:10:00,3598.43,3598.66,3596.08,3596.83,0,0
2006-01-20,12:15:00,3596.83,3596.95,3596.13,3596.48,0,0
2006-01-20,12:20:00,3596.61,3597.01,3596.04,3596.54,0,0
2006-01-20,12:25:00,3596.68,3597.55,3596.45,3597.26,0,0
2006-01-20,12:30:00,3597.42,3597.82,3596.54,3596.69,0,0
2006-01-20,12:35:00,3596.84,3597.80,3596.69,3597.61,0,0
2006-01-20,12:40:00,3597.70,3597.71,3594.15,3595.04,0,0
2006-01-20,12:45:00,3595.18,3595.18,3594.28,3594.51,0,0
2006-01-20,12:50:00,3594.56,3595.01,3593.58,3593.58,0,0
2006-01-20,12:55:00,3593.53,3593.98,3592.67,3593.19,0,0
2006-01-20,13:00:00,3593.51,3593.51,3593.04,3593.20,0,0
2006-01-20,13:05:00,3593.21,3593.54,3592.62,3592.98,0,0
2006-01-20,13:10:00,3593.00,3593.00,3589.31,3589.49,0,0
2006-01-20,13:15:00,3589.59,3590.13,3589.47,3590.03,0,0
2006-01-20,13:20:00,3590.12,3590.49,3589.50,3589.93,0,0
2006-01-20,13:25:00,3590.44,3591.95,3590.44,3591.77,0,0
2006-01-20,13:30:00,3591.83,3592.07,3591.29,3591.30,0,0
2006-01-20,13:35:00,3591.60,3592.53,3591.55,3592.14,0,0
2006-01-20,13:40:00,3591.99,3592.60,3591.71,3591.95,0,0
2006-01-20,13:45:00,3592.01,3592.51,3591.61,3592.51,0,0
2006-01-20,13:50:00,3592.75,3592.75,3591.85,3592.02,0,0
2006-01-20,13:55:00,3592.45,3593.05,3592.17,3592.79,0,0
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2006-01-20,14:05:00,3593.72,3594.08,3593.23,3593.96,0,0
2006-01-20,14:10:00,3593.91,3594.38,3593.64,3594.11,0,0
2006-01-20,14:15:00,3594.21,3594.92,3593.99,3594.92,0,0
2006-01-20,14:20:00,3594.81,3594.81,3593.34,3593.71,0,0
2006-01-20,14:25:00,3593.76,3594.88,3593.76,3594.10,0,0
2006-01-20,14:30:00,3594.28,3594.39,3593.48,3594.20,0,0
2006-01-20,14:35:00,3594.05,3594.32,3593.00,3593.65,0,0
2006-01-20,14:40:00,3593.25,3593.70,3592.61,3593.59,0,0
2006-01-20,14:45:00,3593.44,3593.61,3592.69,3592.69,0,0
2006-01-20,14:50:00,3593.00,3594.06,3592.82,3594.06,0,0
2006-01-20,14:55:00,3594.29,3594.90,3593.97,3594.90,0,0
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2006-01-20,15:05:00,3591.29,3593.09,3591.29,3593.08,0,0
2006-01-20,15:10:00,3592.98,3595.22,3592.79,3594.98,0,0
2006-01-20,15:15:00,3594.78,3595.23,3593.92,3594.33,0,0
2006-01-20,15:20:00,3594.21,3596.22,3594.21,3596.22,0,0
2006-01-20,15:25:00,3595.86,3595.93,3594.76,3594.76,0,0
2006-01-20,15:30:00,3594.62,3596.65,3594.62,3596.65,0,0
2006-01-20,15:35:00,3596.81,3597.09,3595.87,3596.47,0,0
2006-01-20,15:40:00,3596.60,3596.64,3595.40,3596.58,0,0
2006-01-20,15:45:00,3596.92,3597.28,3596.39,3596.85,0,0
2006-01-20,15:50:00,3596.69,3597.82,3595.76,3597.82,0,0
2006-01-20,15:55:00,3597.45,3597.81,3596.48,3597.07,0,0
2006-01-20,16:00:00,3597.06,3597.06,3584.50,3584.50,0,0
2006-01-20,16:05:00,3584.01,3589.65,3575.40,3586.01,0,0
2006-01-20,16:10:00,3586.79,3588.14,3584.96,3584.96,0,0
2006-01-20,16:15:00,3585.80,3586.27,3576.71,3576.71,0,0
2006-01-20,16:20:00,3574.77,3581.66,3574.77,3576.86,0,0
2006-01-20,16:25:00,3576.79,3580.10,3575.65,3579.81,0,0
2006-01-20,16:30:00,3579.29,3579.75,3576.22,3576.33,0,0
2006-01-20,16:35:00,3575.75,3576.14,3566.87,3570.06,0,0
2006-01-20,16:40:00,3571.20,3571.75,3570.12,3571.67,0,0
2006-01-20,16:45:00,3571.75,3572.91,3568.36,3568.36,0,0
2006-01-20,16:50:00,3566.58,3568.06,3564.83,3564.99,0,0
2006-01-20,16:55:00,3564.88,3565.83,3555.66,3559.16,0,0
2006-01-20,17:00:00,3559.44,3562.12,3559.18,3561.36,0,0
2006-01-20,17:05:00,3559.71,3563.01,3555.91,3563.01,0,0
2006-01-20,17:10:00,3563.18,3563.52,3560.93,3562.32,0,0
2006-01-20,17:15:00,3563.02,3568.18,3560.34,3567.54,0,0
2006-01-20,17:20:00,3567.40,3567.40,3562.08,3562.08,0,0
2006-01-20,17:25:00,3560.85,3560.85,3554.04,3555.56,0,0
2006-01-20,17:30:00,3554.39,3555.60,3550.80,3550.80,0,0
2006-01-23,09:05:00,3550.24,3550.24,3516.13,3521.42,0,0
2006-01-23,09:10:00,3520.96,3520.96,3515.07,3515.64,0,0
2006-01-23,09:15:00,3515.46,3520.63,3515.46,3520.63,0,0
2006-01-23,09:20:00,3521.20,3527.25,3520.97,3525.08,0,0
2006-01-23,09:25:00,3523.73,3523.78,3522.17,3523.09,0,0
2006-01-23,09:30:00,3522.77,3523.38,3520.74,3521.73,0,0
2006-01-23,09:35:00,3522.08,3522.08,3519.58,3520.53,0,0
2006-01-23,09:40:00,3520.67,3522.09,3520.01,3521.43,0,0
2006-01-23,09:45:00,3520.19,3524.91,3520.19,3524.82,0,0
2006-01-23,09:50:00,3524.67,3525.33,3523.54,3525.33,0,0
2006-01-23,09:55:00,3525.92,3529.63,3525.68,3529.06,0,0
2006-01-23,10:00:00,3529.25,3529.95,3528.20,3528.22,0,0
2006-01-23,10:05:00,3528.17,3529.39,3525.69,3525.82,0,0
2006-01-23,10:10:00,3526.11,3529.06,3526.11,3527.69,0,0
2006-01-23,10:15:00,3527.22,3527.31,3526.01,3526.18,0,0
2006-01-23,10:20:00,3526.36,3527.60,3526.05,3527.28,0,0
2006-01-23,10:25:00,3527.71,3529.36,3527.71,3527.92,0,0
2006-01-23,10:30:00,3527.76,3530.16,3527.61,3529.84,0,0
2006-01-23,10:35:00,3529.71,3533.60,3529.71,3533.60,0,0
2006-01-23,10:40:00,3533.65,3533.65,3532.38,3533.31,0,0
2006-01-23,10:45:00,3533.13,3536.66,3533.13,3536.20,0,0
2006-01-23,10:50:00,3536.05,3537.82,3533.30,3533.68,0,0
2006-01-23,10:55:00,3534.26,3535.74,3533.91,3535.70,0,0
2006-01-23,11:00:00,3535.60,3536.60,3535.15,3535.81,0,0
2006-01-23,11:05:00,3535.35,3535.35,3531.47,3532.25,0,0
2006-01-23,11:10:00,3531.70,3532.17,3531.02,3531.77,0,0
2006-01-23,11:15:00,3531.75,3532.81,3531.56,3532.32,0,0
2006-01-23,11:20:00,3532.48,3533.22,3532.31,3532.38,0,0
2006-01-23,11:25:00,3532.43,3535.67,3532.33,3535.67,0,0
2006-01-23,11:30:00,3535.62,3536.01,3534.17,3534.41,0,0
2006-01-23,11:35:00,3534.27,3534.27,3531.34,3532.31,0,0
2006-01-23,11:40:00,3532.18,3532.59,3531.12,3531.92,0,0
2006-01-23,11:45:00,3531.70,3531.83,3530.75,3530.93,0,0
2006-01-23,11:50:00,3531.37,3533.16,3531.33,3532.85,0,0
2006-01-23,11:55:00,3532.79,3533.57,3532.36,3533.04,0,0
2006-01-23,12:00:00,3533.00,3534.07,3531.89,3532.68,0,0
2006-01-23,12:05:00,3533.06,3533.08,3532.04,3532.49,0,0
2006-01-23,12:10:00,3532.73,3532.99,3532.08,3532.78,0,0
2006-01-23,12:15:00,3532.72,3532.81,3530.89,3530.89,0,0
2006-01-23,12:20:00,3530.70,3530.70,3529.01,3529.64,0,0
2006-01-23,12:25:00,3529.63,3530.17,3524.10,3524.10,0,0
2006-01-23,12:30:00,3524.33,3525.62,3523.30,3525.62,0,0
2006-01-23,12:35:00,3525.75,3526.20,3524.66,3524.86,0,0
2006-01-23,12:40:00,3523.31,3525.12,3523.07,3525.11,0,0
2006-01-23,12:45:00,3525.24,3525.24,3520.60,3520.60,0,0
2006-01-23,12:50:00,3521.05,3521.48,3519.94,3520.35,0,0
2006-01-23,12:55:00,3520.17,3522.78,3520.00,3522.78,0,0
2006-01-23,13:00:00,3522.96,3523.52,3521.93,3523.07,0,0
2006-01-23,13:05:00,3522.97,3524.39,3522.03,3523.99,0,0
2006-01-23,13:10:00,3524.04,3526.03,3523.37,3526.03,0,0
2006-01-23,13:15:00,3526.07,3527.54,3526.07,3527.04,0,0
2006-01-23,13:20:00,3527.37,3529.63,3527.12,3529.34,0,0
2006-01-23,13:25:00,3529.46,3529.83,3529.18,3529.60,0,0
2006-01-23,13:30:00,3529.81,3529.81,3528.07,3528.74,0,0
2006-01-23,13:35:00,3528.71,3531.47,3528.64,3530.33,0,0
2006-01-23,13:40:00,3530.49,3531.07,3529.46,3529.91,0,0
2006-01-23,13:45:00,3529.89,3530.22,3529.34,3530.17,0,0
2006-01-23,13:50:00,3530.26,3533.46,3530.22,3533.38,0,0
2006-01-23,13:55:00,3533.30,3533.60,3531.57,3531.57,0,0
2006-01-23,14:00:00,3531.79,3531.91,3531.13,3531.40,0,0
2006-01-23,14:05:00,3531.33,3531.72,3529.09,3531.72,0,0
2006-01-23,14:10:00,3531.88,3534.04,3531.59,3534.04,0,0
2006-01-23,14:15:00,3533.81,3535.00,3533.81,3534.85,0,0
2006-01-23,14:20:00,3534.55,3534.76,3533.17,3533.27,0,0
2006-01-23,14:25:00,3533.30,3534.75,3533.22,3534.45,0,0
2006-01-23,14:30:00,3534.70,3534.88,3533.66,3534.19,0,0
2006-01-23,14:35:00,3533.91,3534.18,3532.57,3533.46,0,0
2006-01-23,14:40:00,3532.50,3533.56,3532.50,3533.14,0,0
2006-01-23,14:45:00,3533.09,3533.09,3532.02,3532.88,0,0
2006-01-23,14:50:00,3532.77,3535.73,3532.77,3535.60,0,0
2006-01-23,14:55:00,3535.36,3535.60,3532.44,3533.43,0,0
2006-01-23,15:00:00,3533.67,3534.06,3531.56,3531.56,0,0
2006-01-23,15:05:00,3531.33,3532.22,3529.93,3532.22,0,0
2006-01-23,15:10:00,3531.75,3532.30,3531.19,3532.20,0,0
2006-01-23,15:15:00,3532.19,3532.19,3530.78,3531.40,0,0
2006-01-23,15:20:00,3531.53,3532.08,3531.35,3532.08,0,0
2006-01-23,15:25:00,3532.00,3532.74,3531.60,3532.74,0,0
2006-01-23,15:30:00,3532.66,3533.58,3532.66,3533.37,0,0
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2006-01-23,15:40:00,3532.08,3532.68,3531.27,3532.68,0,0
2006-01-23,15:45:00,3532.66,3533.00,3531.71,3532.69,0,0
2006-01-23,15:50:00,3532.69,3532.72,3530.21,3531.60,0,0
2006-01-23,15:55:00,3531.78,3532.57,3531.44,3531.66,0,0
2006-01-23,16:00:00,3531.46,3531.95,3528.88,3529.03,0,0
2006-01-23,16:05:00,3527.17,3527.17,3522.61,3523.47,0,0
2006-01-23,16:10:00,3523.40,3524.05,3521.89,3523.35,0,0
2006-01-23,16:15:00,3523.92,3528.43,3523.92,3528.43,0,0
2006-01-23,16:20:00,3528.13,3529.30,3527.23,3527.23,0,0
2006-01-23,16:25:00,3527.23,3533.40,3526.85,3533.40,0,0
2006-01-23,16:30:00,3533.32,3535.60,3533.32,3533.65,0,0
2006-01-23,16:35:00,3533.39,3535.12,3531.01,3531.01,0,0
2006-01-23,16:40:00,3530.77,3531.39,3529.78,3530.26,0,0
2006-01-23,16:45:00,3530.09,3530.26,3527.78,3530.26,0,0
2006-01-23,16:50:00,3530.74,3534.45,3530.74,3532.05,0,0
2006-01-23,16:55:00,3532.11,3533.84,3532.03,3533.00,0,0
2006-01-23,17:00:00,3533.28,3537.33,3533.28,3536.17,0,0
2006-01-23,17:05:00,3535.93,3538.85,3534.75,3538.37,0,0
2006-01-23,17:10:00,3538.16,3540.65,3538.02,3540.02,0,0
2006-01-23,17:15:00,3540.83,3545.85,3540.83,3545.13,0,0
2006-01-23,17:20:00,3544.96,3545.00,3543.91,3544.28,0,0
2006-01-23,17:25:00,3544.32,3544.67,3543.63,3544.04,0,0
2006-01-23,17:30:00,3543.91,3544.73,3543.91,3544.31,0,0
2006-01-24,09:05:00,3544.78,3549.28,3544.78,3549.21,0,0
2006-01-24,09:10:00,3549.95,3550.83,3543.75,3543.75,0,0
2006-01-24,09:15:00,3542.61,3546.05,3541.97,3545.17,0,0
2006-01-24,09:20:00,3545.18,3546.66,3543.88,3544.47,0,0
2006-01-24,09:25:00,3544.57,3544.57,3539.13,3539.13,0,0
2006-01-24,09:30:00,3538.59,3539.61,3536.86,3536.86,0,0
2006-01-24,09:35:00,3537.21,3539.09,3536.79,3538.77,0,0
2006-01-24,09:40:00,3538.57,3541.21,3538.57,3539.70,0,0
2006-01-24,09:45:00,3539.60,3539.60,3535.26,3535.32,0,0
2006-01-24,09:50:00,3535.59,3536.22,3532.83,3533.90,0,0
2006-01-24,09:55:00,3533.77,3534.01,3530.96,3531.79,0,0
2006-01-24,10:00:00,3532.44,3534.29,3532.44,3533.82,0,0
2006-01-24,10:05:00,3534.01,3536.69,3533.93,3536.56,0,0
2006-01-24,10:10:00,3536.54,3536.97,3536.01,3536.27,0,0
2006-01-24,10:15:00,3536.53,3539.79,3536.53,3539.62,0,0
2006-01-24,10:20:00,3539.23,3539.66,3537.01,3537.38,0,0
2006-01-24,10:25:00,3537.34,3539.44,3537.34,3538.24,0,0
2006-01-24,10:30:00,3538.24,3539.04,3537.05,3537.05,0,0
2006-01-24,10:35:00,3537.34,3537.95,3536.15,3537.68,0,0
2006-01-24,10:40:00,3537.98,3537.98,3537.40,3537.88,0,0
2006-01-24,10:45:00,3537.58,3538.34,3535.49,3535.49,0,0
2006-01-24,10:50:00,3534.75,3535.81,3534.43,3534.43,0,0
2006-01-24,10:55:00,3534.13,3534.13,3531.58,3532.66,0,0
2006-01-24,11:00:00,3532.74,3534.17,3532.17,3533.06,0,0
2006-01-24,11:05:00,3533.26,3534.15,3532.53,3533.54,0,0
2006-01-24,11:10:00,3533.61,3534.35,3533.56,3534.13,0,0
2006-01-24,11:15:00,3534.46,3534.64,3532.97,3532.97,0,0
2006-01-24,11:20:00,3532.87,3532.87,3528.92,3528.99,0,0
2006-01-24,11:25:00,3529.18,3532.79,3529.11,3532.79,0,0
2006-01-24,11:30:00,3532.83,3533.09,3532.12,3532.59,0,0
2006-01-24,11:35:00,3532.81,3534.49,3532.62,3533.76,0,0
2006-01-24,11:40:00,3533.89,3535.14,3533.89,3535.14,0,0
2006-01-24,11:45:00,3535.07,3535.32,3534.13,3534.40,0,0
2006-01-24,11:50:00,3534.11,3534.11,3532.80,3532.80,0,0
2006-01-24,11:55:00,3532.85,3533.41,3532.06,3533.41,0,0
2006-01-24,12:00:00,3532.81,3533.95,3532.81,3533.32,0,0
2006-01-24,12:05:00,3533.16,3533.60,3531.61,3532.12,0,0
2006-01-24,12:10:00,3531.89,3532.80,3531.59,3532.45,0,0
2006-01-24,12:15:00,3532.68,3535.26,3532.68,3534.93,0,0
2006-01-24,12:20:00,3534.68,3534.90,3533.65,3534.61,0,0
2006-01-24,12:25:00,3534.39,3535.06,3534.35,3534.43,0,0
2006-01-24,12:30:00,3534.38,3534.69,3532.70,3533.28,0,0
2006-01-24,12:35:00,3533.54,3535.90,3533.54,3535.90,0,0
2006-01-24,12:40:00,3536.07,3539.66,3536.07,3539.66,0,0
2006-01-24,12:45:00,3539.76,3540.68,3538.61,3538.64,0,0
2006-01-24,12:50:00,3538.70,3539.84,3538.35,3539.71,0,0
2006-01-24,12:55:00,3539.20,3539.57,3538.73,3539.50,0,0
2006-01-24,13:00:00,3539.60,3541.25,3539.60,3540.87,0,0
2006-01-24,13:05:00,3541.06,3541.23,3539.80,3540.10,0,0
2006-01-24,13:10:00,3540.53,3541.25,3540.19,3541.05,0,0
2006-01-24,13:15:00,3541.04,3541.68,3540.17,3540.55,0,0
2006-01-24,13:20:00,3539.79,3539.97,3539.15,3539.59,0,0
2006-01-24,13:25:00,3539.45,3540.75,3539.39,3540.75,0,0
2006-01-24,13:30:00,3540.88,3542.23,3540.88,3542.23,0,0
2006-01-24,13:35:00,3542.12,3543.01,3542.12,3542.88,0,0
2006-01-24,13:40:00,3542.62,3542.92,3541.83,3542.64,0,0
2006-01-24,13:45:00,3542.37,3542.85,3542.18,3542.46,0,0
2006-01-24,13:50:00,3542.14,3542.83,3541.08,3542.66,0,0
2006-01-24,13:55:00,3542.56,3544.17,3542.47,3542.47,0,0
2006-01-24,14:00:00,3542.52,3543.14,3542.14,3542.93,0,0
2006-01-24,14:05:00,3543.11,3543.11,3539.15,3539.15,0,0
2006-01-24,14:10:00,3539.74,3539.92,3539.30,3539.52,0,0
2006-01-24,14:15:00,3539.18,3539.19,3537.69,3538.00,0,0
2006-01-24,14:20:00,3537.77,3539.83,3537.77,3539.38,0,0
2006-01-24,14:25:00,3539.46,3540.84,3539.33,3540.02,0,0
2006-01-24,14:30:00,3539.70,3541.20,3539.50,3541.20,0,0
2006-01-24,14:35:00,3541.12,3542.57,3541.03,3542.28,0,0
2006-01-24,14:40:00,3542.46,3542.82,3542.01,3542.16,0,0
2006-01-24,14:45:00,3542.24,3542.96,3542.08,3542.48,0,0
2006-01-24,14:50:00,3542.30,3542.30,3540.63,3542.08,0,0
2006-01-24,14:55:00,3542.07,3542.29,3540.81,3540.93,0,0
2006-01-24,15:00:00,3540.82,3541.02,3539.43,3540.24,0,0
2006-01-24,15:05:00,3540.33,3540.33,3538.32,3539.18,0,0
2006-01-24,15:10:00,3539.49,3540.77,3539.49,3540.33,0,0
2006-01-24,15:15:00,3540.58,3541.24,3540.53,3540.70,0,0
2006-01-24,15:20:00,3541.05,3541.33,3540.54,3541.20,0,0
2006-01-24,15:25:00,3541.44,3541.70,3540.74,3540.74,0,0
2006-01-24,15:30:00,3540.76,3541.15,3540.15,3541.15,0,0
2006-01-24,15:35:00,3540.55,3542.68,3540.49,3542.68,0,0
2006-01-24,15:40:00,3542.70,3544.97,3542.70,3544.12,0,0
2006-01-24,15:45:00,3544.38,3544.71,3543.40,3543.40,0,0
2006-01-24,15:50:00,3544.48,3546.24,3544.48,3546.24,0,0
2006-01-24,15:55:00,3546.21,3548.53,3546.08,3548.26,0,0
2006-01-24,16:00:00,3548.63,3550.64,3548.63,3550.23,0,0
2006-01-24,16:05:00,3550.25,3550.86,3548.30,3549.24,0,0
2006-01-24,16:10:00,3549.29,3549.29,3548.21,3548.49,0,0
2006-01-24,16:15:00,3548.10,3548.39,3546.74,3547.52,0,0
2006-01-24,16:20:00,3547.92,3548.45,3547.44,3548.36,0,0
2006-01-24,16:25:00,3549.33,3553.16,3549.33,3550.27,0,0
2006-01-24,16:30:00,3549.93,3549.95,3543.97,3544.73,0,0
2006-01-24,16:35:00,3544.63,3545.54,3543.61,3545.35,0,0
2006-01-24,16:40:00,3545.40,3546.64,3545.11,3546.39,0,0
2006-01-24,16:45:00,3546.11,3548.64,3545.58,3548.03,0,0
2006-01-24,16:50:00,3547.37,3548.85,3546.72,3546.72,0,0
2006-01-24,16:55:00,3546.54,3548.88,3545.49,3545.49,0,0
2006-01-24,17:00:00,3543.92,3543.92,3540.78,3540.82,0,0
2006-01-24,17:05:00,3540.97,3540.97,3538.17,3538.28,0,0
2006-01-24,17:10:00,3538.04,3538.09,3529.39,3530.65,0,0
2006-01-24,17:15:00,3531.12,3532.30,3526.44,3526.44,0,0
2006-01-24,17:20:00,3526.37,3529.03,3526.37,3527.59,0,0
2006-01-24,17:25:00,3528.51,3531.66,3528.51,3530.97,0,0
2006-01-24,17:30:00,3530.79,3533.11,3530.67,3532.68,0,0
2006-01-25,09:05:00,3532.72,3546.45,3532.72,3545.92,0,0
2006-01-25,09:10:00,3545.62,3546.08,3544.09,3544.93,0,0
2006-01-25,09:15:00,3544.73,3544.73,3542.12,3543.89,0,0
2006-01-25,09:20:00,3543.97,3546.58,3542.16,3546.19,0,0
2006-01-25,09:25:00,3546.58,3548.03,3544.96,3548.03,0,0
2006-01-25,09:30:00,3547.97,3549.32,3545.08,3545.08,0,0
2006-01-25,09:35:00,3543.51,3548.44,3543.51,3547.87,0,0
2006-01-25,09:40:00,3547.44,3547.84,3544.16,3544.16,0,0
2006-01-25,09:45:00,3544.58,3548.59,3544.58,3547.91,0,0
2006-01-25,09:50:00,3547.96,3549.72,3547.78,3548.29,0,0
2006-01-25,09:55:00,3548.03,3551.50,3547.56,3550.28,0,0
2006-01-25,10:00:00,3550.38,3551.63,3549.43,3551.10,0,0
2006-01-25,10:05:00,3551.29,3557.57,3551.29,3557.21,0,0
2006-01-25,10:10:00,3557.40,3557.40,3554.99,3555.35,0,0
2006-01-25,10:15:00,3555.42,3555.42,3553.87,3553.91,0,0
2006-01-25,10:20:00,3553.35,3557.35,3553.35,3557.33,0,0
2006-01-25,10:25:00,3557.70,3557.91,3555.89,3556.79,0,0
2006-01-25,10:30:00,3555.96,3556.08,3553.28,3553.53,0,0
2006-01-25,10:35:00,3553.61,3555.45,3553.44,3555.45,0,0
2006-01-25,10:40:00,3555.12,3556.53,3554.76,3555.97,0,0
2006-01-25,10:45:00,3555.72,3555.94,3554.79,3555.50,0,0
2006-01-25,10:50:00,3555.22,3555.22,3552.42,3553.54,0,0
2006-01-25,10:55:00,3552.82,3554.47,3552.82,3554.25,0,0
2006-01-25,11:00:00,3554.42,3554.52,3553.14,3553.67,0,0
2006-01-25,11:05:00,3553.70,3557.71,3553.70,3556.32,0,0
2006-01-25,11:10:00,3556.54,3557.23,3556.11,3556.11,0,0
2006-01-25,11:15:00,3556.35,3558.16,3556.24,3557.56,0,0
2006-01-25,11:20:00,3557.79,3559.41,3557.23,3558.67,0,0
2006-01-25,11:25:00,3558.41,3559.06,3558.01,3558.03,0,0
2006-01-25,11:30:00,3558.10,3559.52,3558.08,3559.11,0,0
2006-01-25,11:35:00,3559.15,3560.72,3559.15,3560.67,0,0
2006-01-25,11:40:00,3561.19,3562.61,3561.19,3561.89,0,0
2006-01-25,11:45:00,3561.14,3563.39,3561.06,3562.85,0,0
2006-01-25,11:50:00,3562.95,3565.12,3562.89,3563.34,0,0
2006-01-25,11:55:00,3563.03,3563.29,3562.26,3562.69,0,0
2006-01-25,12:00:00,3562.94,3563.88,3562.57,3563.88,0,0
2006-01-25,12:05:00,3563.09,3563.67,3562.09,3562.09,0,0
2006-01-25,12:10:00,3562.19,3562.38,3561.75,3561.98,0,0
2006-01-25,12:15:00,3562.23,3564.92,3562.22,3564.63,0,0
2006-01-25,12:20:00,3564.41,3565.18,3563.68,3564.94,0,0
2006-01-25,12:25:00,3564.88,3566.18,3564.76,3566.10,0,0
2006-01-25,12:30:00,3566.15,3566.15,3563.93,3564.43,0,0
2006-01-25,12:35:00,3564.24,3564.76,3563.32,3563.87,0,0
2006-01-25,12:40:00,3563.21,3563.89,3563.16,3563.75,0,0
2006-01-25,12:45:00,3563.67,3563.67,3561.60,3561.94,0,0
2006-01-25,12:50:00,3561.84,3561.84,3560.01,3560.43,0,0
2006-01-25,12:55:00,3560.28,3561.04,3560.13,3560.42,0,0
2006-01-25,13:00:00,3559.95,3560.08,3559.07,3559.27,0,0
2006-01-25,13:05:00,3558.67,3560.05,3558.51,3559.35,0,0
2006-01-25,13:10:00,3559.51,3561.41,3559.51,3561.41,0,0
2006-01-25,13:15:00,3561.10,3562.31,3561.10,3562.12,0,0
2006-01-25,13:20:00,3562.17,3564.48,3562.17,3564.48,0,0
2006-01-25,13:25:00,3564.24,3565.25,3564.11,3564.11,0,0
2006-01-25,13:30:00,3564.69,3565.13,3564.32,3564.94,0,0
2006-01-25,13:35:00,3565.15,3566.47,3564.80,3566.47,0,0
2006-01-25,13:40:00,3567.11,3567.65,3566.03,3566.13,0,0
2006-01-25,13:45:00,3566.38,3567.84,3566.30,3567.84,0,0
2006-01-25,13:50:00,3568.07,3568.58,3566.71,3566.86,0,0
2006-01-25,13:55:00,3566.59,3566.59,3565.16,3565.27,0,0
2006-01-25,14:00:00,3565.12,3565.42,3563.36,3563.75,0,0
2006-01-25,14:05:00,3563.88,3565.02,3563.80,3564.60,0,0
2006-01-25,14:10:00,3564.41,3566.26,3564.00,3566.26,0,0
2006-01-25,14:15:00,3566.84,3566.98,3564.96,3565.15,0,0
2006-01-25,14:20:00,3565.17,3565.37,3564.12,3564.67,0,0
2006-01-25,14:25:00,3564.62,3565.70,3564.62,3565.30,0,0
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2006-01-25,14:35:00,3565.98,3566.59,3565.84,3566.42,0,0
2006-01-25,14:40:00,3566.48,3566.54,3563.85,3563.85,0,0
2006-01-25,14:45:00,3564.01,3566.42,3564.01,3566.20,0,0
2006-01-25,14:50:00,3566.27,3566.34,3564.84,3565.53,0,0
2006-01-25,14:55:00,3565.94,3566.74,3565.73,3566.74,0,0
2006-01-25,15:00:00,3566.95,3567.82,3566.72,3567.13,0,0
2006-01-25,15:05:00,3567.40,3568.02,3567.40,3567.79,0,0
2006-01-25,15:10:00,3567.80,3568.01,3566.33,3568.01,0,0
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2006-01-25,15:20:00,3567.21,3567.74,3566.68,3567.03,0,0
2006-01-25,15:25:00,3567.19,3568.27,3566.83,3568.14,0,0
2006-01-25,15:30:00,3567.81,3569.87,3567.81,3569.67,0,0
2006-01-25,15:35:00,3569.90,3570.54,3568.59,3569.20,0,0
2006-01-25,15:40:00,3569.22,3569.30,3566.89,3567.19,0,0
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2006-01-25,15:55:00,3567.05,3568.74,3566.60,3568.74,0,0
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2006-01-25,16:05:00,3567.17,3572.97,3566.38,3572.82,0,0
2006-01-25,16:10:00,3572.71,3573.03,3566.65,3566.65,0,0
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2006-01-25,16:20:00,3564.05,3565.12,3563.30,3564.43,0,0
2006-01-25,16:25:00,3564.52,3564.56,3555.15,3555.15,0,0
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2006-01-25,16:35:00,3557.30,3558.00,3549.99,3549.99,0,0
2006-01-25,16:40:00,3550.51,3555.85,3550.51,3555.79,0,0
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2006-01-25,16:55:00,3560.55,3564.09,3559.92,3562.80,0,0
2006-01-25,17:00:00,3562.32,3562.49,3560.48,3561.57,0,0
2006-01-25,17:05:00,3561.90,3568.43,3561.45,3567.04,0,0
2006-01-25,17:10:00,3568.04,3568.24,3565.19,3565.24,0,0
2006-01-25,17:15:00,3565.29,3567.24,3565.23,3566.44,0,0
2006-01-25,17:20:00,3566.03,3572.44,3565.95,3571.84,0,0
2006-01-25,17:25:00,3572.69,3575.61,3572.69,3573.76,0,0
2006-01-25,17:30:00,3573.38,3578.00,3573.21,3578.00,0,0
2006-01-26,09:05:00,3578.92,3590.22,3577.98,3590.22,0,0
2006-01-26,09:10:00,3590.11,3598.00,3590.11,3598.00,0,0
2006-01-26,09:15:00,3600.30,3610.06,3600.30,3606.78,0,0
2006-01-26,09:20:00,3607.45,3608.95,3606.84,3608.40,0,0
2006-01-26,09:25:00,3608.14,3610.32,3606.01,3610.32,0,0
2006-01-26,09:30:00,3609.58,3612.38,3609.16,3609.79,0,0
2006-01-26,09:35:00,3609.17,3611.32,3609.17,3611.22,0,0
2006-01-26,09:40:00,3611.03,3613.81,3611.03,3612.64,0,0
2006-01-26,09:45:00,3611.67,3611.67,3608.35,3609.58,0,0
2006-01-26,09:50:00,3609.86,3609.97,3607.59,3608.07,0,0
2006-01-26,09:55:00,3608.03,3608.31,3606.93,3608.05,0,0
2006-01-26,10:00:00,3607.50,3609.44,3606.82,3608.73,0,0
2006-01-26,10:05:00,3609.05,3614.66,3609.05,3613.96,0,0
2006-01-26,10:10:00,3614.54,3624.86,3614.53,3624.25,0,0
2006-01-26,10:15:00,3623.28,3623.88,3620.58,3620.77,0,0
2006-01-26,10:20:00,3620.47,3622.71,3620.47,3621.44,0,0
2006-01-26,10:25:00,3621.07,3628.49,3621.07,3628.49,0,0
2006-01-26,10:30:00,3627.98,3637.73,3627.27,3637.06,0,0
2006-01-26,10:35:00,3635.73,3635.73,3630.59,3631.40,0,0
2006-01-26,10:40:00,3631.14,3631.63,3628.35,3629.26,0,0
2006-01-26,10:45:00,3629.21,3630.53,3627.53,3630.04,0,0
2006-01-26,10:50:00,3630.69,3640.93,3630.69,3636.56,0,0
2006-01-26,10:55:00,3635.67,3635.67,3633.00,3633.21,0,0
2006-01-26,11:00:00,3632.93,3632.93,3627.42,3627.42,0,0
2006-01-26,11:05:00,3627.61,3635.51,3627.61,3632.51,0,0
2006-01-26,11:10:00,3632.37,3633.21,3620.79,3630.09,0,0
2006-01-26,11:15:00,3628.80,3629.14,3624.38,3624.38,0,0
2006-01-26,11:20:00,3623.77,3628.03,3622.37,3627.05,0,0
2006-01-26,11:25:00,3627.16,3628.39,3626.23,3626.23,0,0
2006-01-26,11:30:00,3626.44,3627.76,3625.40,3627.57,0,0
2006-01-26,11:35:00,3627.45,3627.45,3622.96,3623.09,0,0
2006-01-26,11:40:00,3622.91,3625.26,3622.91,3625.26,0,0
2006-01-26,11:45:00,3625.15,3633.76,3624.62,3633.08,0,0
2006-01-26,11:50:00,3632.43,3633.12,3631.86,3632.38,0,0
2006-01-26,11:55:00,3632.98,3639.39,3632.67,3638.37,0,0
2006-01-26,12:00:00,3635.52,3638.56,3632.10,3634.28,0,0
2006-01-26,12:05:00,3634.74,3634.74,3628.38,3628.55,0,0
2006-01-26,12:10:00,3627.76,3627.76,3626.10,3626.10,0,0
2006-01-26,12:15:00,3627.61,3630.51,3627.61,3628.82,0,0
2006-01-26,12:20:00,3629.09,3629.09,3626.50,3628.03,0,0
2006-01-26,12:25:00,3627.43,3627.81,3625.51,3626.02,0,0
2006-01-26,12:30:00,3626.12,3627.22,3625.78,3626.87,0,0
2006-01-26,12:35:00,3626.70,3628.34,3626.70,3627.33,0,0
2006-01-26,12:40:00,3627.44,3627.70,3625.58,3625.91,0,0
2006-01-26,12:45:00,3625.71,3628.10,3625.34,3627.97,0,0
2006-01-26,12:50:00,3628.43,3630.04,3628.22,3629.21,0,0
2006-01-26,12:55:00,3628.95,3630.79,3628.95,3629.97,0,0
2006-01-26,13:00:00,3629.80,3629.80,3628.08,3628.11,0,0
2006-01-26,13:05:00,3628.38,3628.99,3627.51,3627.61,0,0
2006-01-26,13:10:00,3627.66,3627.66,3626.90,3627.11,0,0
2006-01-26,13:15:00,3626.95,3627.99,3626.78,3627.99,0,0
2006-01-26,13:20:00,3628.31,3628.31,3626.84,3627.05,0,0
2006-01-26,13:25:00,3627.07,3627.07,3626.37,3626.63,0,0
2006-01-26,13:30:00,3626.80,3628.86,3626.75,3628.86,0,0
2006-01-26,13:35:00,3628.55,3630.64,3628.12,3630.40,0,0
2006-01-26,13:40:00,3631.00,3631.00,3629.54,3629.54,0,0
2006-01-26,13:45:00,3629.93,3631.00,3629.78,3630.60,0,0
2006-01-26,13:50:00,3630.73,3632.76,3630.33,3631.66,0,0
2006-01-26,13:55:00,3631.53,3631.54,3629.93,3629.99,0,0
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2006-01-26,14:20:00,3631.50,3631.50,3630.46,3631.05,0,0
2006-01-26,14:25:00,3630.87,3632.17,3630.87,3631.35,0,0
2006-01-26,14:30:00,3630.61,3630.61,3629.42,3629.65,0,0
2006-01-26,14:35:00,3629.68,3630.72,3625.50,3625.51,0,0
2006-01-26,14:40:00,3625.70,3625.70,3622.38,3623.16,0,0
2006-01-26,14:45:00,3623.98,3624.19,3622.77,3623.87,0,0
2006-01-26,14:50:00,3623.66,3623.66,3621.55,3621.55,0,0
2006-01-26,14:55:00,3621.39,3621.39,3619.88,3619.88,0,0
2006-01-26,15:00:00,3619.59,3622.18,3618.79,3622.18,0,0
2006-01-26,15:05:00,3622.88,3623.68,3620.97,3620.97,0,0
2006-01-26,15:10:00,3620.93,3622.82,3620.61,3622.31,0,0
2006-01-26,15:15:00,3622.38,3623.66,3622.36,3622.96,0,0
2006-01-26,15:20:00,3623.13,3623.33,3621.24,3621.93,0,0
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2006-01-26,16:10:00,3622.24,3629.74,3620.81,3629.74,0,0
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2006-01-26,16:40:00,3624.98,3624.98,3618.76,3618.76,0,0
2006-01-26,16:45:00,3618.91,3622.95,3618.91,3622.30,0,0
2006-01-26,16:50:00,3622.13,3626.72,3621.80,3626.72,0,0
2006-01-26,16:55:00,3626.68,3629.66,3626.60,3629.55,0,0
2006-01-26,17:00:00,3629.31,3636.50,3627.75,3636.50,0,0
2006-01-26,17:05:00,3636.57,3636.57,3630.97,3634.53,0,0
2006-01-26,17:10:00,3634.56,3634.56,3631.74,3632.14,0,0
2006-01-26,17:15:00,3631.90,3633.00,3631.57,3632.67,0,0
2006-01-26,17:20:00,3632.73,3634.16,3630.64,3631.44,0,0
2006-01-26,17:25:00,3631.34,3634.86,3631.34,3634.83,0,0
2006-01-26,17:30:00,3634.95,3641.42,3634.90,3641.42,0,0
2006-01-27,09:05:00,3643.35,3677.29,3643.35,3677.29,0,0
2006-01-27,09:10:00,3676.45,3678.85,3676.13,3678.07,0,0
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2006-01-27,09:20:00,3673.78,3675.79,3671.68,3671.70,0,0
2006-01-27,09:25:00,3670.74,3671.62,3669.46,3671.29,0,0
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2006-01-27,09:35:00,3674.10,3676.66,3674.10,3675.54,0,0
2006-01-27,09:40:00,3675.33,3675.33,3673.68,3674.38,0,0
2006-01-27,09:45:00,3674.63,3674.71,3672.46,3672.46,0,0
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2006-01-27,10:00:00,3673.96,3676.34,3673.07,3673.43,0,0
2006-01-27,10:05:00,3673.16,3673.31,3672.16,3672.25,0,0
2006-01-27,10:10:00,3672.43,3678.88,3671.96,3677.23,0,0
2006-01-27,10:15:00,3677.14,3678.49,3676.39,3676.39,0,0
2006-01-27,10:20:00,3676.26,3677.70,3674.26,3674.79,0,0
2006-01-27,10:25:00,3675.37,3675.98,3671.37,3671.37,0,0
2006-01-27,10:30:00,3671.42,3671.61,3667.04,3669.94,0,0
2006-01-27,10:35:00,3669.52,3669.91,3666.37,3668.12,0,0
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2006-01-27,10:45:00,3668.40,3672.11,3668.40,3671.91,0,0
2006-01-27,10:50:00,3672.30,3672.30,3670.08,3670.23,0,0
2006-01-27,10:55:00,3670.78,3670.78,3668.96,3669.80,0,0
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2006-01-27,11:05:00,3667.07,3670.27,3666.70,3669.90,0,0
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2006-01-27,11:20:00,3670.77,3670.84,3669.91,3670.38,0,0
2006-01-27,11:25:00,3669.93,3669.93,3668.72,3668.99,0,0
2006-01-27,11:30:00,3669.25,3669.25,3667.06,3667.06,0,0
2006-01-27,11:35:00,3666.81,3666.81,3664.92,3666.70,0,0
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2006-01-27,11:45:00,3666.31,3666.77,3665.38,3665.38,0,0
2006-01-27,11:50:00,3664.99,3666.68,3664.62,3665.60,0,0
2006-01-27,11:55:00,3665.04,3665.26,3663.74,3664.04,0,0
2006-01-27,12:00:00,3664.41,3664.41,3662.72,3662.87,0,0
2006-01-27,12:05:00,3663.83,3663.83,3662.21,3662.83,0,0
2006-01-27,12:10:00,3662.61,3664.83,3662.61,3664.83,0,0
2006-01-27,12:15:00,3665.51,3666.64,3665.05,3665.05,0,0
2006-01-27,12:20:00,3665.15,3665.15,3664.00,3664.72,0,0
2006-01-27,12:25:00,3664.39,3664.64,3663.39,3663.39,0,0
2006-01-27,12:30:00,3663.32,3664.44,3663.32,3664.32,0,0
2006-01-27,12:35:00,3663.94,3664.64,3663.75,3664.17,0,0
2006-01-27,12:40:00,3664.34,3664.65,3663.96,3664.25,0,0
2006-01-27,12:45:00,3664.31,3665.18,3664.20,3665.18,0,0
2006-01-27,12:50:00,3665.27,3666.64,3665.27,3666.04,0,0
2006-01-27,12:55:00,3666.18,3668.87,3666.18,3668.23,0,0
2006-01-27,13:00:00,3668.27,3668.52,3667.33,3667.33,0,0
2006-01-27,13:05:00,3667.44,3667.54,3666.44,3666.65,0,0
2006-01-27,13:10:00,3666.98,3667.61,3666.58,3667.49,0,0
2006-01-27,13:15:00,3667.72,3668.23,3667.35,3667.65,0,0
2006-01-27,13:20:00,3667.28,3667.54,3665.69,3666.11,0,0
2006-01-27,13:25:00,3665.94,3666.12,3665.67,3665.69,0,0
2006-01-27,13:30:00,3665.35,3665.45,3664.30,3664.57,0,0
2006-01-27,13:35:00,3664.84,3665.27,3664.19,3664.19,0,0
2006-01-27,13:40:00,3664.13,3664.32,3662.42,3664.22,0,0
2006-01-27,13:45:00,3664.34,3665.83,3664.04,3665.83,0,0
2006-01-27,13:50:00,3665.96,3667.61,3665.77,3667.08,0,0
2006-01-27,13:55:00,3667.05,3667.73,3666.91,3667.54,0,0
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2006-01-27,14:15:00,3671.88,3674.71,3671.25,3671.68,0,0
2006-01-27,14:20:00,3671.79,3672.33,3671.50,3671.88,0,0
2006-01-27,14:25:00,3671.95,3672.35,3670.01,3670.02,0,0
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2006-01-27,14:35:00,3668.69,3668.69,3658.18,3661.37,0,0
2006-01-27,14:40:00,3660.91,3660.91,3649.80,3649.80,0,0
2006-01-27,14:45:00,3649.94,3660.20,3649.94,3659.61,0,0
2006-01-27,14:50:00,3658.54,3658.88,3656.23,3657.97,0,0
2006-01-27,14:55:00,3657.68,3657.89,3655.94,3656.69,0,0
2006-01-27,15:00:00,3656.76,3656.76,3651.00,3652.08,0,0
2006-01-27,15:05:00,3651.97,3651.97,3650.32,3651.70,0,0
2006-01-27,15:10:00,3652.06,3655.05,3652.06,3653.44,0,0
2006-01-27,15:15:00,3653.54,3657.96,3653.54,3657.96,0,0
2006-01-27,15:20:00,3658.14,3660.41,3658.14,3658.32,0,0
2006-01-27,15:25:00,3657.83,3659.40,3657.03,3658.95,0,0
2006-01-27,15:30:00,3658.91,3663.00,3658.91,3662.06,0,0
2006-01-27,15:35:00,3662.17,3667.79,3661.86,3664.78,0,0
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2006-01-27,15:50:00,3663.65,3665.23,3663.46,3664.43,0,0
2006-01-27,15:55:00,3663.48,3663.87,3660.48,3662.36,0,0
2006-01-27,16:00:00,3662.69,3664.27,3662.62,3662.93,0,0
2006-01-27,16:05:00,3663.61,3674.07,3663.33,3673.28,0,0
2006-01-27,16:10:00,3673.27,3680.40,3673.27,3675.41,0,0
2006-01-27,16:15:00,3675.68,3677.94,3675.08,3675.08,0,0
2006-01-27,16:20:00,3674.71,3680.27,3674.71,3678.34,0,0
2006-01-27,16:25:00,3678.10,3678.30,3675.51,3676.95,0,0
2006-01-27,16:30:00,3677.05,3679.47,3675.68,3677.38,0,0
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2006-01-27,17:20:00,3678.58,3684.23,3678.58,3684.23,0,0
2006-01-27,17:25:00,3683.92,3683.92,3681.77,3681.77,0,0
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2006-01-30,11:15:00,3671.09,3672.10,3669.57,3671.00,0,0
2006-01-30,11:20:00,3671.18,3672.30,3670.95,3670.95,0,0
2006-01-30,11:25:00,3671.01,3671.08,3670.59,3670.85,0,0
2006-01-30,11:30:00,3671.66,3674.01,3671.54,3674.01,0,0
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2006-01-30,11:40:00,3674.01,3675.11,3673.62,3674.32,0,0
2006-01-30,11:45:00,3674.14,3676.79,3674.14,3676.42,0,0
2006-01-30,11:50:00,3676.55,3676.86,3675.35,3675.75,0,0
2006-01-30,11:55:00,3675.32,3675.48,3674.17,3674.33,0,0
2006-01-30,12:00:00,3674.60,3674.95,3673.73,3674.65,0,0
2006-01-30,12:05:00,3674.54,3675.12,3674.32,3674.41,0,0
2006-01-30,12:10:00,3674.32,3674.65,3673.42,3673.94,0,0
2006-01-30,12:15:00,3674.22,3678.44,3674.02,3677.04,0,0
2006-01-30,12:20:00,3677.04,3677.56,3676.52,3677.10,0,0
2006-01-30,12:25:00,3677.36,3677.79,3676.93,3677.07,0,0
2006-01-30,12:30:00,3677.22,3677.72,3676.92,3677.07,0,0
2006-01-30,12:35:00,3677.05,3677.09,3676.04,3676.06,0,0
2006-01-30,12:40:00,3676.09,3676.31,3675.40,3676.16,0,0
2006-01-30,12:45:00,3676.42,3676.67,3675.57,3675.89,0,0
2006-01-30,12:50:00,3676.25,3676.70,3675.12,3676.70,0,0
2006-01-30,12:55:00,3676.75,3676.75,3675.60,3675.99,0,0
2006-01-30,13:00:00,3676.08,3676.56,3675.54,3676.06,0,0
2006-01-30,13:05:00,3675.75,3676.13,3675.72,3675.98,0,0
2006-01-30,13:10:00,3675.81,3676.73,3675.81,3676.03,0,0
2006-01-30,13:15:00,3675.83,3676.78,3675.83,3676.53,0,0
2006-01-30,13:20:00,3676.24,3676.70,3674.89,3675.05,0,0
2006-01-30,13:25:00,3674.72,3675.30,3674.55,3675.09,0,0
2006-01-30,13:30:00,3675.08,3676.17,3674.80,3675.63,0,0
2006-01-30,13:35:00,3675.68,3675.96,3673.72,3674.10,0,0
2006-01-30,13:40:00,3674.06,3674.61,3673.72,3674.27,0,0
2006-01-30,13:45:00,3674.45,3674.82,3674.03,3674.63,0,0
2006-01-30,13:50:00,3674.49,3674.49,3672.70,3672.92,0,0
2006-01-30,13:55:00,3672.43,3672.43,3671.06,3671.57,0,0
2006-01-30,14:00:00,3671.95,3672.42,3671.61,3672.42,0,0
2006-01-30,14:05:00,3672.39,3676.33,3672.39,3675.74,0,0
2006-01-30,14:10:00,3675.72,3677.62,3675.46,3677.18,0,0
2006-01-30,14:15:00,3677.02,3677.72,3676.48,3677.72,0,0
2006-01-30,14:20:00,3677.91,3677.99,3676.27,3676.78,0,0
2006-01-30,14:25:00,3676.57,3677.38,3676.57,3677.20,0,0
2006-01-30,14:30:00,3677.16,3677.26,3675.28,3675.66,0,0
2006-01-30,14:35:00,3675.68,3676.98,3673.23,3673.24,0,0
2006-01-30,14:40:00,3673.67,3674.08,3673.20,3673.91,0,0
2006-01-30,14:45:00,3673.85,3675.03,3673.78,3675.03,0,0
2006-01-30,14:50:00,3675.06,3675.85,3674.95,3675.40,0,0
2006-01-30,14:55:00,3675.00,3675.00,3673.76,3674.29,0,0
2006-01-30,15:00:00,3674.26,3675.69,3674.07,3675.38,0,0
2006-01-30,15:05:00,3675.58,3677.03,3675.58,3676.12,0,0
2006-01-30,15:10:00,3676.29,3676.29,3675.83,3675.98,0,0
2006-01-30,15:15:00,3675.95,3678.02,3675.53,3677.91,0,0
2006-01-30,15:20:00,3677.42,3677.97,3677.03,3677.97,0,0
2006-01-30,15:25:00,3678.15,3679.37,3677.60,3679.31,0,0
2006-01-30,15:30:00,3679.51,3680.81,3679.51,3679.69,0,0
2006-01-30,15:35:00,3679.45,3680.75,3678.93,3680.37,0,0
2006-01-30,15:40:00,3680.77,3681.39,3678.18,3681.39,0,0
2006-01-30,15:45:00,3680.86,3680.86,3677.83,3679.50,0,0
2006-01-30,15:50:00,3680.48,3680.66,3677.02,3677.02,0,0
2006-01-30,15:55:00,3677.05,3677.05,3675.71,3676.35,0,0
2006-01-30,16:00:00,3676.93,3677.75,3676.27,3677.04,0,0
2006-01-30,16:05:00,3677.21,3678.33,3676.53,3678.33,0,0
2006-01-30,16:10:00,3678.37,3682.04,3678.17,3680.58,0,0
2006-01-30,16:15:00,3680.32,3683.37,3679.10,3682.94,0,0
2006-01-30,16:20:00,3683.27,3684.80,3682.17,3682.59,0,0
2006-01-30,16:25:00,3682.17,3682.84,3680.36,3682.53,0,0
2006-01-30,16:30:00,3682.26,3683.11,3680.50,3681.70,0,0
2006-01-30,16:35:00,3681.56,3681.76,3680.45,3680.63,0,0
2006-01-30,16:40:00,3681.39,3682.66,3681.39,3682.26,0,0
2006-01-30,16:45:00,3682.19,3683.04,3682.19,3683.04,0,0
2006-01-30,16:50:00,3683.33,3684.04,3682.19,3684.04,0,0
2006-01-30,16:55:00,3683.66,3685.65,3683.66,3685.65,0,0
2006-01-30,17:00:00,3685.38,3685.38,3681.90,3681.90,0,0
2006-01-30,17:05:00,3681.88,3681.88,3679.22,3679.43,0,0
2006-01-30,17:10:00,3679.32,3679.64,3677.14,3677.14,0,0
2006-01-30,17:15:00,3677.33,3680.52,3677.07,3679.97,0,0
2006-01-30,17:20:00,3679.69,3680.14,3678.27,3678.68,0,0
2006-01-30,17:25:00,3678.84,3679.28,3678.10,3679.28,0,0
2006-01-30,17:30:00,3679.29,3679.40,3676.31,3677.52,0,0


================================================
FILE: datas/2006-month-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-31,3578.73,3707.63,3515.07,3691.41,0,0
2006-02-28,3686.16,3840.56,3637.93,3774.51,0,0
2006-03-31,3775.23,3881.69,3702.04,3853.74,0,0
2006-04-28,3859.99,3892.35,3749.71,3839.90,0,0
2006-05-31,3839.24,3897.40,3527.05,3637.17,0,0
2006-06-30,3634.82,3688.89,3379.66,3648.92,0,0
2006-07-31,3648.91,3711.52,3462.77,3691.87,0,0
2006-08-31,3687.82,3829.40,3632.51,3808.70,0,0
2006-09-29,3808.99,3921.15,3709.81,3899.41,0,0
2006-10-31,3902.03,4047.54,3858.87,4004.80,0,0
2006-11-30,4003.80,4118.40,3951.94,3987.23,0,0
2006-12-29,3993.03,4147.38,3914.46,4119.94,0,0


================================================
FILE: datas/2006-volume-day-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-02,3602.00,3624.00,3596.00,3617.00,164794,1511674
2006-01-03,3623.00,3665.00,3614.00,3665.00,554426,1501792
2006-01-04,3660.00,3674.00,3641.00,3666.00,517558,1503213
2006-01-05,3667.00,3674.00,3654.00,3662.00,432252,1541255
2006-01-06,3667.00,3693.00,3661.00,3691.00,416112,1501069
2006-01-09,3693.00,3699.00,3681.00,3689.00,436207,1551895
2006-01-10,3676.00,3678.00,3650.00,3671.00,484719,1569331
2006-01-11,3682.00,3689.00,3666.00,3685.00,449783,1577535
2006-01-12,3676.00,3691.00,3660.00,3664.00,444316,1586476
2006-01-13,3666.00,3671.00,3623.00,3639.00,591691,0
2006-01-16,3635.00,3664.00,3632.00,3660.00,273296,1592611
2006-01-17,3632.00,3634.00,3612.00,3622.00,555959,1579789
2006-01-18,3575.00,3598.00,3558.00,3581.00,866129,1557570
2006-01-19,3594.00,3619.00,3588.00,3610.00,644053,1601545
2006-01-20,3607.00,3622.00,3525.00,3528.00,962941,1601777
2006-01-23,3525.00,3554.00,3521.00,3540.00,669369,1702949
2006-01-24,3550.00,3562.00,3533.00,3547.00,609427,1695854
2006-01-25,3559.00,3592.00,3548.00,3592.00,757536,1683331
2006-01-26,3596.00,3665.00,3592.00,3662.00,982957,1682448
2006-01-27,3679.00,3695.00,3659.00,3685.00,762116,1658807
2006-01-30,3687.00,3709.00,3672.00,3701.00,424069,1666739
2006-01-31,3697.00,3718.00,3681.00,3704.00,749740,1642003
2006-02-01,3690.00,3747.00,3683.00,3747.00,733850,1721115
2006-02-02,3742.00,3756.00,3674.00,3682.00,870956,1720980
2006-02-03,3694.00,3711.00,3661.00,3690.00,711608,1658525
2006-02-06,3703.00,3714.00,3680.00,3692.00,407575,1690543
2006-02-07,3704.00,3709.00,3662.00,3669.00,681151,1670454
2006-02-08,3658.00,3708.00,3645.00,3708.00,638180,1709261
2006-02-09,3705.00,3749.00,3704.00,3717.00,565728,1753450
2006-02-10,3724.00,3742.00,3699.00,3729.00,538179,1690376
2006-02-13,3702.00,3742.00,3691.00,3730.00,574650,1644656
2006-02-14,3740.00,3765.00,3713.00,3763.00,672589,1673746
2006-02-15,3746.00,3757.00,3721.00,3741.00,651196,1676842
2006-02-16,3755.00,3774.00,3738.00,3773.00,502043,1662302
2006-02-17,3765.00,3783.00,3755.00,3777.00,532354,1677584
2006-02-20,3769.00,3780.00,3756.00,3775.00,179685,1716864
2006-02-21,3785.00,3808.00,3772.00,3775.00,552188,1727193
2006-02-22,3783.00,3832.00,3775.00,3829.00,540857,1736052
2006-02-23,3829.00,3838.00,3801.00,3816.00,573338,1721732
2006-02-24,3827.00,3840.00,3809.00,3829.00,420159,1683865
2006-02-27,3839.00,3849.00,3823.00,3838.00,341173,1663400
2006-02-28,3839.00,3843.00,3768.00,3778.00,806168,1691337
2006-03-01,3787.00,3815.00,3776.00,3813.00,564840,1723253
2006-03-02,3815.00,3825.00,3744.00,3765.00,822977,1694897
2006-03-03,3766.00,3778.00,3716.00,3745.00,751991,1662200
2006-03-06,3771.00,3774.00,3731.00,3739.00,507265,1700569
2006-03-07,3740.00,3751.00,3721.00,3742.00,669267,1700258
2006-03-08,3751.00,3759.00,3703.00,3744.00,801845,1725875
2006-03-09,3767.00,3770.00,3739.00,3740.00,662235,1741907
2006-03-10,3747.00,3815.00,3741.00,3812.00,885356,1714786
2006-03-13,3822.00,3830.00,3809.00,3817.00,699437,1682559
2006-03-14,3811.00,3848.00,3807.00,3848.00,1050866,1539322
2006-03-15,3845.00,3855.00,3834.00,3853.00,1153878,1266311
2006-03-16,3845.00,3849.00,3820.00,3842.00,963198,962243
2006-03-17,3795.00,3821.00,3763.00,3783.00,834457,1355933
2006-03-20,3791.00,3810.00,3776.00,3787.00,392211,1500920
2006-03-21,3788.00,3812.00,3755.00,3779.00,655677,1482004
2006-03-22,3774.00,3825.00,3768.00,3825.00,580511,1510583
2006-03-23,3821.00,3823.00,3792.00,3804.00,508721,1547034
2006-03-24,3810.00,3819.00,3790.00,3806.00,444361,1537140
2006-03-27,3814.00,3814.00,3758.00,3771.00,506035,1575845
2006-03-28,3774.00,3790.00,3739.00,3749.00,640434,1601634
2006-03-29,3759.00,3788.00,3739.00,3785.00,590338,1604818
2006-03-30,3797.00,3825.00,3780.00,3794.00,631668,1607161
2006-03-31,3804.00,3817.00,3783.00,3793.00,565216,1644981
2006-04-03,3817.00,3827.00,3802.00,3805.00,427411,1648659
2006-04-04,3812.00,3814.00,3787.00,3814.00,496039,1640704
2006-04-05,3803.00,3815.00,3779.00,3813.00,574708,1622484
2006-04-06,3816.00,3824.00,3789.00,3798.00,613372,1624616
2006-04-07,3800.00,3818.00,3750.00,3754.00,705207,1621819
2006-04-10,3760.00,3790.00,3755.00,3773.00,491924,1645637
2006-04-11,3779.00,3785.00,3707.00,3713.00,789073,1649283
2006-04-12,3723.00,3733.00,3693.00,3715.00,823485,1692389
2006-04-13,3722.00,3731.00,3697.00,3723.00,496944,1723232
2006-04-18,3721.00,3749.00,3693.00,3749.00,645187,1719735
2006-04-19,3761.00,3780.00,3742.00,3778.00,722051,1700118
2006-04-20,3768.00,3825.00,3768.00,3809.00,854085,1728414
2006-04-21,3814.00,3839.00,3814.00,3827.00,673246,1736906
2006-04-24,3806.00,3824.00,3804.00,3822.00,434005,1807907
2006-04-25,3816.00,3838.00,3807.00,3821.00,604489,1821146
2006-04-26,3826.00,3840.00,3819.00,3835.00,495302,1813733
2006-04-27,3838.00,3839.00,3780.00,3812.00,1145228,1863368
2006-04-28,3807.00,3810.00,3775.00,3781.00,656051,1814070
2006-05-02,3783.00,3828.00,3783.00,3827.00,494418,1802136
2006-05-03,3827.00,3833.00,3766.00,3779.00,736870,1824109
2006-05-04,3782.00,3810.00,3765.00,3800.00,744298,1823761
2006-05-05,3807.00,3864.00,3804.00,3864.00,659911,1815999
2006-05-08,3858.00,3870.00,3841.00,3854.00,469340,1850345
2006-05-09,3850.00,3863.00,3835.00,3859.00,455538,1868598
2006-05-10,3850.00,3865.00,3828.00,3841.00,492600,1850629
2006-05-11,3842.00,3871.00,3786.00,3789.00,827195,1899846
2006-05-12,3790.00,3798.00,3701.00,3703.00,1342476,1894512
2006-05-15,3701.00,3719.00,3659.00,3707.00,1460518,1943327
2006-05-16,3687.00,3731.00,3670.00,3706.00,1117478,2103469
2006-05-17,3727.00,3732.00,3570.00,3575.00,1788718,2043097
2006-05-18,3595.00,3633.00,3540.00,3564.00,2168228,2131643
2006-05-19,3581.00,3627.00,3579.00,3625.00,1212872,2218894
2006-05-22,3587.00,3593.00,3515.00,3549.00,1641627,2216936
2006-05-23,3552.00,3628.00,3552.00,3563.00,1381685,2160107
2006-05-24,3575.00,3593.00,3529.00,3569.00,1529421,2104592
2006-05-25,3575.00,3650.00,3540.00,3650.00,1129110,2138331
2006-05-26,3651.00,3688.00,3633.00,3685.00,1027127,2050352
2006-05-29,3679.00,3684.00,3658.00,3659.00,215809,2134952
2006-05-30,3668.00,3672.00,3566.00,3568.00,1260220,2134851
2006-05-31,3547.00,3637.00,3532.00,3633.00,1396918,2085498
2006-06-01,3637.00,3665.00,3586.00,3665.00,990387,2118324
2006-06-02,3660.00,3690.00,3615.00,3638.00,1067955,2094696
2006-06-05,3628.00,3636.00,3550.00,3552.00,681687,2093880
2006-06-06,3555.00,3573.00,3516.00,3555.00,1311007,2123492
2006-06-07,3541.00,3580.00,3511.00,3530.00,1207692,2187648
2006-06-08,3490.00,3520.00,3447.00,3501.00,1861849,2139443
2006-06-09,3503.00,3534.00,3477.00,3481.00,1055892,2243288
2006-06-12,3485.00,3529.00,3442.00,3447.00,1262995,2088629
2006-06-13,3429.00,3441.00,3378.00,3379.00,2481435,2009439
2006-06-14,3406.00,3435.00,3377.00,3421.00,2290170,1684602
2006-06-15,3433.00,3527.00,3427.00,3524.00,1599024,1684602
2006-06-16,3531.00,3555.00,3460.00,3475.00,1514636,1811106
2006-06-19,3488.00,3533.00,3465.00,3470.00,857267,2007929
2006-06-20,3460.00,3540.00,3460.00,3514.00,847971,2088828
2006-06-21,3516.00,3568.00,3487.00,3554.00,941295,2066100
2006-06-22,3577.00,3585.00,3534.00,3544.00,893527,2038981
2006-06-23,3556.00,3578.00,3540.00,3554.00,644564,1988668
2006-06-26,3563.00,3579.00,3537.00,3566.00,530862,2003961
2006-06-27,3570.00,3572.00,3490.00,3490.00,754938,2021306
2006-06-28,3490.00,3537.00,3488.00,3535.00,739095,1981724
2006-06-29,3548.00,3650.00,3534.00,3650.00,858799,2020228
2006-06-30,3645.00,3670.00,3622.00,3656.00,914321,2019762
2006-07-03,3663.00,3687.00,3651.00,3686.00,338525,2027695
2006-07-04,3687.00,3687.00,3658.00,3677.00,219059,2023196
2006-07-05,3658.00,3669.00,3618.00,3638.00,667919,2025208
2006-07-06,3647.00,3679.00,3632.00,3666.00,669766,1992150
2006-07-07,3648.00,3685.00,3633.00,3635.00,730538,2034396
2006-07-10,3655.00,3685.00,3633.00,3671.00,553661,2001511
2006-07-11,3666.00,3669.00,3620.00,3660.00,738094,1991727
2006-07-12,3662.00,3676.00,3613.00,3617.00,728707,2002733
2006-07-13,3615.00,3617.00,3540.00,3540.00,1137876,2006342
2006-07-14,3537.00,3563.00,3509.00,3529.00,940704,2173836
2006-07-17,3530.00,3535.00,3471.00,3510.00,1183232,2060540
2006-07-18,3505.00,3527.00,3474.00,3515.00,971038,2078403
2006-07-19,3515.00,3616.00,3503.00,3611.00,1247743,2073643
2006-07-20,3620.00,3625.00,3566.00,3566.00,913324,2117872
2006-07-21,3577.00,3594.00,3553.00,3554.00,977746,2059052
2006-07-24,3563.00,3654.00,3562.00,3647.00,781984,2129505
2006-07-25,3643.00,3669.00,3630.00,3663.00,758600,2137417
2006-07-26,3653.00,3668.00,3631.00,3652.00,538583,2091204
2006-07-27,3677.00,3693.00,3652.00,3662.00,798036,2087808
2006-07-28,3684.00,3729.00,3664.00,3725.00,791896,2084741
2006-07-31,3721.00,3724.00,3693.00,3697.00,525898,2118711
2006-08-01,3701.00,3706.00,3640.00,3659.00,762840,2070762
2006-08-02,3670.00,3720.00,3664.00,3710.00,631879,1997861
2006-08-03,3714.00,3718.00,3654.00,3701.00,838138,2020588
2006-08-04,3707.00,3739.00,3676.00,3693.00,796568,2022850
2006-08-07,3640.00,3691.00,3638.00,3670.00,653752,2083817
2006-08-08,3691.00,3695.00,3643.00,3653.00,625419,2045623
2006-08-09,3677.00,3725.00,3657.00,3680.00,862594,2018560
2006-08-10,3685.00,3703.00,3644.00,3694.00,965625,2038955
2006-08-11,3695.00,3708.00,3668.00,3686.00,524572,2069633
2006-08-14,3705.00,3735.00,3703.00,3709.00,457261,2050554
2006-08-15,3714.00,3798.00,3710.00,3798.00,809251,2054467
2006-08-16,3799.00,3815.00,3774.00,3813.00,746420,2103281
2006-08-17,3806.00,3818.00,3788.00,3804.00,589634,2096994
2006-08-18,3810.00,3817.00,3789.00,3815.00,659585,2078365
2006-08-21,3803.00,3803.00,3773.00,3786.00,443445,2109036
2006-08-22,3800.00,3808.00,3761.00,3793.00,686723,2096506
2006-08-23,3799.00,3801.00,3758.00,3770.00,547430,2081631
2006-08-24,3762.00,3804.00,3750.00,3795.00,697401,2061097
2006-08-25,3790.00,3805.00,3772.00,3786.00,392038,2090199
2006-08-28,3777.00,3830.00,3764.00,3824.00,402973,2079101
2006-08-29,3825.00,3837.00,3804.00,3825.00,622592,2091149
2006-08-30,3835.00,3836.00,3814.00,3820.00,557408,2084035
2006-08-31,3831.00,3837.00,3807.00,3815.00,577983,2118325
2006-09-01,3823.00,3842.00,3813.00,3829.00,550519,2084737
2006-09-04,3835.00,3845.00,3831.00,3840.00,192059,2085890
2006-09-05,3842.00,3844.00,3804.00,3826.00,726065,2081211
2006-09-06,3822.00,3825.00,3758.00,3761.00,829394,2068691
2006-09-07,3752.00,3761.00,3730.00,3744.00,880485,2029126
2006-09-08,3756.00,3765.00,3736.00,3755.00,606124,2029126
2006-09-11,3739.00,3768.00,3711.00,3758.00,1024854,2027132
2006-09-12,3753.00,3814.00,3728.00,3811.00,1615762,1794565
2006-09-13,3808.00,3817.00,3786.00,3809.00,1373203,1523326
2006-09-14,3810.00,3826.00,3787.00,3802.00,1049353,1246561
2006-09-15,3820.00,3844.00,3805.00,3827.00,1062149,1634414
2006-09-18,3835.00,3843.00,3807.00,3830.00,556228,1889978
2006-09-19,3823.00,3830.00,3774.00,3790.00,997035,1892381
2006-09-20,3794.00,3865.00,3788.00,3861.00,850817,1887128
2006-09-21,3861.00,3886.00,3836.00,3845.00,835754,1909028
2006-09-22,3847.00,3856.00,3815.00,3835.00,726456,1895010
2006-09-25,3838.00,3877.00,3818.00,3868.00,719681,1905193
2006-09-26,3866.00,3904.00,3857.00,3898.00,779519,1908637
2006-09-27,3908.00,3917.00,3885.00,3910.00,879752,1922556
2006-09-28,3917.00,3923.00,3899.00,3913.00,584648,1946249
2006-09-29,3917.00,3937.00,3906.00,3915.00,651560,1939397
2006-10-02,3928.00,3933.00,3887.00,3895.00,518041,1961560
2006-10-03,3892.00,3919.00,3871.00,3906.00,762343,1954293
2006-10-04,3898.00,3960.00,3895.00,3957.00,800505,1999756
2006-10-05,3965.00,3965.00,3944.00,3962.00,723730,1968960
2006-10-06,3952.00,3962.00,3931.00,3956.00,659552,1987876
2006-10-09,3945.00,3962.00,3931.00,3957.00,354847,1993264
2006-10-10,3958.00,3977.00,3955.00,3975.00,649293,1974426
2006-10-11,3958.00,3991.00,3950.00,3980.00,698769,2011806
2006-10-12,3985.00,4019.00,3975.00,4017.00,704630,2055129
2006-10-13,4019.00,4022.00,3996.00,4018.00,627241,2093519
2006-10-16,4022.00,4023.00,3997.00,4020.00,534606,2090486
2006-10-17,4012.00,4012.00,3955.00,3981.00,915211,2074140
2006-10-18,3976.00,4017.00,3970.00,3991.00,961202,2051473
2006-10-19,3980.00,4011.00,3975.00,3991.00,771490,2064301
2006-10-20,4003.00,4025.00,3988.00,4017.00,828299,2042974
2006-10-23,4023.00,4041.00,3991.00,4038.00,709659,2136161
2006-10-24,4031.00,4035.00,4014.00,4026.00,575676,2125016
2006-10-25,4024.00,4042.00,4013.00,4038.00,544941,2124918
2006-10-26,4038.00,4058.00,4028.00,4051.00,638495,2147155
2006-10-27,4047.00,4049.00,4005.00,4010.00,790202,2143371
2006-10-30,4008.00,4020.00,3985.00,4010.00,748619,2143056
2006-10-31,4011.00,4029.00,3990.00,4005.00,783684,2147836
2006-11-01,4012.00,4038.00,3991.00,3994.00,819735,2125314
2006-11-02,3997.00,4019.00,3967.00,3982.00,1047094,2162817
2006-11-03,3983.00,4019.00,3975.00,3991.00,893043,2178807
2006-11-06,3994.00,4065.00,3994.00,4062.00,717182,2195100
2006-11-07,4053.00,4084.00,4053.00,4066.00,681246,2204994
2006-11-08,4061.00,4093.00,4053.00,4090.00,815148,2197183
2006-11-09,4092.00,4095.00,4061.00,4065.00,641185,2212649
2006-11-10,4072.00,4081.00,4056.00,4078.00,590119,2221795
2006-11-13,4076.00,4104.00,4065.00,4086.00,666203,2220934
2006-11-14,4096.00,4114.00,4074.00,4112.00,836687,2286895
2006-11-15,4109.00,4128.00,4099.00,4117.00,697121,2328617
2006-11-16,4112.00,4125.00,4102.00,4114.00,641666,2294820
2006-11-17,4106.00,4117.00,4074.00,4102.00,925799,2244807
2006-11-20,4086.00,4112.00,4058.00,4102.00,801877,2303799
2006-11-21,4102.00,4122.00,4100.00,4111.00,756217,2322742
2006-11-22,4122.00,4129.00,4093.00,4110.00,759039,2274337
2006-11-23,4110.00,4118.00,4079.00,4092.00,385092,2190882
2006-11-24,4080.00,4087.00,4032.00,4032.00,1015631,2142261
2006-11-27,4041.00,4061.00,3965.00,3966.00,1192955,2189543
2006-11-28,3978.00,3997.00,3957.00,3987.00,1514766,2242243
2006-11-29,3999.00,4030.00,3988.00,4027.00,929793,2206435
2006-11-30,4034.00,4042.00,3981.00,4001.00,1209362,2184940
2006-12-01,4005.00,4018.00,3916.00,3941.00,1268854,2304700
2006-12-04,3936.00,3979.00,3931.00,3974.00,825305,2328923
2006-12-05,3973.00,4020.00,3964.00,4018.00,1126088,2297094
2006-12-06,4017.00,4021.00,3991.00,4000.00,718338,2311993
2006-12-07,3990.00,4044.00,3990.00,4010.00,885668,2261296
2006-12-08,4009.00,4040.00,3982.00,4029.00,1090833,2204231
2006-12-11,4034.00,4060.00,4034.00,4057.00,994201,2147274
2006-12-12,4052.00,4066.00,4040.00,4052.00,1347733,1998010
2006-12-13,4051.00,4109.00,4049.00,4107.00,1459572,1799697
2006-12-14,4112.00,4132.00,4100.00,4131.00,1120863,1530036
2006-12-15,4162.00,4179.00,4146.00,4152.00,1081297,1787685
2006-12-18,4157.00,4173.00,4138.00,4144.00,379455,1921269
2006-12-19,4137.00,4149.00,4113.00,4144.00,756938,1899981
2006-12-20,4154.00,4162.00,4127.00,4129.00,374934,1911897
2006-12-21,4134.00,4154.00,4117.00,4130.00,374608,1910869
2006-12-22,4137.00,4139.00,4086.00,4092.00,378353,1912405
2006-12-27,4113.00,4174.00,4113.00,4173.00,311003,1903141
2006-12-28,4177.00,4179.00,4146.00,4157.00,282295,1912601
2006-12-29,4157.00,4167.00,4145.00,4157.00,205816,1916930


================================================
FILE: datas/2006-week-001.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-06,3578.73,3666.99,3578.73,3666.99,0,0
2006-01-13,3667.10,3685.99,3618.06,3629.25,0,0
2006-01-20,3628.73,3649.10,3550.16,3550.80,0,0
2006-01-27,3550.24,3685.48,3515.07,3685.48,0,0
2006-02-03,3684.38,3745.14,3652.76,3678.48,0,0
2006-02-10,3678.87,3735.14,3637.93,3695.63,0,0
2006-02-17,3696.09,3777.16,3684.83,3767.70,0,0
2006-02-24,3767.11,3831.16,3749.88,3826.00,0,0
2006-03-03,3828.99,3840.56,3715.35,3733.95,0,0
2006-03-10,3737.58,3798.46,3702.04,3798.46,0,0
2006-03-17,3801.03,3874.64,3801.03,3832.43,0,0
2006-03-24,3833.25,3878.49,3811.02,3870.89,0,0
2006-03-31,3872.28,3881.69,3799.04,3853.74,0,0
2006-04-07,3859.99,3881.11,3822.26,3823.11,0,0
2006-04-13,3822.35,3843.62,3753.47,3779.94,0,0
2006-04-21,3779.23,3892.35,3749.71,3888.46,0,0
2006-04-28,3884.57,3892.16,3832.10,3839.90,0,0
2006-05-05,3839.24,3879.31,3806.35,3874.32,0,0
2006-05-12,3877.74,3897.40,3750.44,3750.44,0,0
2006-05-19,3746.40,3750.42,3558.27,3625.33,0,0
2006-05-26,3622.35,3699.80,3527.05,3699.80,0,0
2006-06-02,3696.48,3696.48,3542.41,3636.89,0,0
2006-06-09,3636.83,3638.59,3462.37,3520.99,0,0
2006-06-16,3519.43,3544.27,3379.66,3463.56,0,0
2006-06-23,3469.88,3571.24,3453.14,3550.15,0,0
2006-06-30,3554.07,3655.02,3484.71,3648.92,0,0
2006-07-07,3648.91,3670.75,3607.81,3651.33,0,0
2006-07-14,3645.42,3671.09,3508.25,3508.25,0,0
2006-07-21,3512.22,3612.48,3462.77,3557.08,0,0
2006-07-28,3559.34,3711.41,3559.34,3710.60,0,0
2006-08-04,3708.82,3729.29,3632.51,3718.09,0,0
2006-08-11,3707.49,3712.22,3638.55,3675.10,0,0
2006-08-18,3690.09,3807.48,3690.09,3791.40,0,0
2006-08-25,3789.99,3797.91,3743.26,3781.17,0,0
2006-09-01,3778.79,3836.22,3758.87,3820.89,0,0
2006-09-08,3824.02,3839.30,3729.77,3750.08,0,0
2006-09-15,3745.78,3825.15,3709.81,3812.11,0,0
2006-09-22,3813.73,3867.74,3770.36,3812.73,0,0
2006-09-29,3815.13,3921.15,3802.47,3899.41,0,0
2006-10-06,3902.03,3950.06,3858.87,3940.31,0,0
2006-10-13,3932.33,4008.67,3921.81,3999.07,0,0
2006-10-20,4000.30,4016.63,3947.39,3998.19,0,0
2006-10-27,4001.63,4047.54,3982.02,4017.27,0,0
2006-11-03,4007.26,4029.57,3961.64,3990.46,0,0
2006-11-10,3991.47,4081.70,3991.47,4063.84,0,0
2006-11-17,4063.01,4116.79,4059.51,4078.36,0,0
2006-11-24,4074.59,4118.40,4028.30,4048.16,0,0
2006-12-01,4045.05,4053.68,3914.46,3932.09,0,0
2006-12-08,3935.81,4039.25,3927.40,4019.89,0,0
2006-12-15,4024.14,4147.38,4024.14,4140.66,0,0
2006-12-22,4140.99,4141.46,4072.62,4073.50,0,0
2006-12-29,4079.70,4142.06,4079.70,4119.94,0,0


================================================
FILE: datas/2006-week-002.txt
================================================
Date,Open,High,Low,Close,Volume,OpenInterest
2006-01-13,3578.73,3685.99,3578.73,3629.25,0,0
2006-01-27,3628.73,3685.48,3515.07,3685.48,0,0
2006-02-10,3684.38,3745.14,3637.93,3695.63,0,0
2006-02-24,3696.09,3831.16,3684.83,3826.00,0,0
2006-03-10,3828.99,3840.56,3702.04,3798.46,0,0
2006-03-24,3801.03,3878.49,3801.03,3870.89,0,0
2006-04-07,3872.28,3881.69,3799.04,3823.11,0,0
2006-04-21,3822.35,3892.35,3749.71,3888.46,0,0
2006-05-05,3884.57,3892.16,3806.35,3874.32,0,0
2006-05-19,3877.74,3897.40,3558.27,3625.33,0,0
2006-06-02,3622.35,3699.80,3527.05,3636.89,0,0
2006-06-16,3636.83,3638.59,3379.66,3463.56,0,0
2006-06-30,3469.88,3655.02,3453.14,3648.92,0,0
2006-07-14,3648.91,3671.09,3508.25,3508.25,0,0
2006-07-28,3512.22,3711.41,3462.77,3710.60,0,0
2006-08-11,3708.82,3729.29,3632.51,3675.10,0,0
2006-08-25,3690.09,3807.48,3690.09,3781.17,0,0
2006-09-08,3778.79,3839.30,3729.77,3750.08,0,0
2006-09-22,3745.78,3867.74,3709.81,3812.73,0,0
2006-10-06,3815.13,3950.06,3802.47,3940.31,0,0
2006-10-20,3932.33,4016.63,3921.81,3998.19,0,0
2006-11-03,4001.63,4047.54,3961.64,3990.46,0,0
2006-11-17,3991.47,4116.79,3991.47,4078.36,0,0
2006-12-01,4074.59,4118.40,3914.46,3932.09,0,0
2006-12-15,3935.81,4147.38,3927.40,4140.66,0,0
2006-12-29,4140.99,4142.06,4072.62,4119.94,0,0


================================================
FILE: datas/bidask.csv
================================================
TIMESTAMP,BID,ASK
02/03/2010 16:53:50,0.5346,0.5347
02/03/2010 16:53:51,0.5343,0.5347
02/03/2010 16:53:52,0.5543,0.5545
02/03/2010 16:53:53,0.5342,0.5344
02/03/2010 16:53:54,0.5245,0.5464
02/03/2010 16:53:54,0.5460,0.5470
02/03/2010 16:53:56,0.5824,0.5826
02/03/2010 16:53:57,0.5371,0.5374
02/03/2010 16:53:58,0.5793,0.5794
02/03/2010 16:53:59,0.5684,0.5688


================================================
FILE: datas/bidask2.csv
================================================
TimeStamp,cross,status ("D"= dealt) (only trades "DEALT"),bid, offer, vol bid, vol offer
01/03/16,23:43:11,EUR/JPY,D,,130.520,,1000000
01/03/16,23:43:27,EUR/JPY,D,,130.520,,2000000
01/03/16,23:49:19,EUR/JPY,D,,130.510,,500000
01/03/16,23:49:22,EUR/JPY,D,,130.530,,1500000
01/03/16,23:49:25,EUR/JPY,D,,130.540,,750000
01/03/16,23:49:27,EUR/JPY,D,,130.550,,900000
01/03/16,23:51:25,EUR/JPY,D,,130.500,,1200000
01/03/16,23:52:27,EUR/JPY,D,,130.495,,1100000
01/03/16,23:53:25,EUR/JPY,D,,130.480,,600000
01/03/16,23:54:27,EUR/JPY,D,,130.470,,900000

================================================
FILE: datas/nvda-1999-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
1999-01-22,1.750000,1.953125,1.552083,1.640625,1.518424,67867200
1999-01-25,1.770833,1.833333,1.640625,1.812500,1.677496,12762000
1999-01-26,1.833333,1.869792,1.645833,1.671875,1.547346,8580000
1999-01-27,1.677083,1.718750,1.583333,1.666667,1.542525,6109200
1999-01-28,1.666667,1.677083,1.651042,1.661458,1.537705,5688000
1999-01-29,1.661458,1.666667,1.583333,1.583333,1.465399,6100800
1999-02-01,1.583333,1.625000,1.583333,1.614583,1.494321,3867600
1999-02-02,1.583333,1.625000,1.442708,1.489583,1.378632,6602400
1999-02-03,1.468750,1.541667,1.458333,1.520833,1.407555,1878000
1999-02-04,1.541667,1.645833,1.520833,1.604167,1.484681,4548000
1999-02-05,1.630208,1.666667,1.588542,1.651042,1.528064,3421200
1999-02-08,1.661458,1.666667,1.593750,1.593750,1.475040,3852000
1999-02-09,1.625000,1.635417,1.510417,1.531250,1.417195,2174400
1999-02-10,1.531250,1.572917,1.489583,1.515625,1.402734,3705600
1999-02-11,1.520833,1.708333,1.520833,1.645833,1.523244,3306000
1999-02-12,1.666667,1.750000,1.666667,1.739583,1.610011,2743200
1999-02-16,1.770833,1.843750,1.572917,1.750000,1.619651,5275200
1999-02-17,1.708333,1.729167,1.625000,1.656250,1.532884,1693200
1999-02-18,1.708333,1.729167,1.635417,1.682292,1.556986,1767600
1999-02-19,1.666667,1.770833,1.645833,1.739583,1.610011,1884000
1999-02-22,1.770833,1.791667,1.656250,1.750000,1.619651,5131200
1999-02-23,1.791667,1.869792,1.687500,1.833333,1.696778,3452400
1999-02-24,2.104167,2.187500,1.932292,1.979167,1.831748,15319200
1999-02-25,2.062500,2.125000,1.885417,1.916667,1.773904,3728400
1999-02-26,1.937500,2.000000,1.812500,1.828125,1.691957,4315200
1999-03-01,1.875000,1.916667,1.750000,1.838542,1.701598,2304000
1999-03-02,1.833333,1.843750,1.791667,1.822917,1.687137,1381200
1999-03-03,1.833333,1.833333,1.687500,1.697917,1.571447,1534800
1999-03-04,1.781250,1.791667,1.645833,1.661458,1.537705,1434000
1999-03-05,1.677083,1.760417,1.677083,1.755208,1.624472,1969200
1999-03-08,1.708333,1.833333,1.677083,1.781250,1.648574,1897200
1999-03-09,1.776042,1.864583,1.776042,1.838542,1.701598,3579600
1999-03-10,1.864583,1.864583,1.781250,1.807292,1.672675,5883600
1999-03-11,1.776042,1.807292,1.729167,1.729167,1.600370,1357200
1999-03-12,1.739583,1.739583,1.666667,1.697917,1.571447,2269200
1999-03-15,1.739583,1.791667,1.729167,1.770833,1.638933,2720400
1999-03-16,1.781250,1.802083,1.697917,1.713542,1.585909,1978800
1999-03-17,1.729167,1.760417,1.682292,1.723958,1.595549,1284000
1999-03-18,1.729167,1.770833,1.687500,1.744792,1.614831,1158000
1999-03-19,1.739583,1.802083,1.739583,1.750000,1.619651,2632800
1999-03-22,1.786458,1.791667,1.697917,1.697917,1.571447,916800
1999-03-23,1.708333,1.708333,1.562500,1.593750,1.475040,4099200
1999-03-24,1.583333,1.593750,1.520833,1.583333,1.465399,1521600
1999-03-25,1.578125,1.666667,1.572917,1.604167,1.484681,1008000
1999-03-26,1.625000,1.750000,1.625000,1.744792,1.614831,2206800
1999-03-29,1.796875,1.838542,1.765625,1.796875,1.663035,1648800
1999-03-30,1.802083,1.817708,1.635417,1.645833,1.523244,1737600
1999-03-31,1.697917,1.781250,1.619792,1.760417,1.629292,3840000
1999-04-01,1.760417,1.770833,1.677083,1.708333,1.581088,760800
1999-04-05,1.687500,1.729167,1.645833,1.656250,1.532884,2466000
1999-04-06,1.671875,1.677083,1.583333,1.614583,1.494321,1742400
1999-04-07,1.625000,1.760417,1.614583,1.750000,1.619651,2232000
1999-04-08,1.760417,1.833333,1.739583,1.781250,1.648574,3253200
1999-04-09,1.791667,1.791667,1.739583,1.750000,1.619651,1215600
1999-04-12,1.729167,1.729167,1.645833,1.677083,1.552166,832800
1999-04-13,1.708333,1.708333,1.583333,1.609375,1.489501,903600
1999-04-14,1.604167,1.640625,1.562500,1.562500,1.446117,1207200
1999-04-15,1.604167,1.604167,1.562500,1.604167,1.484681,896400
1999-04-16,1.593750,1.682292,1.593750,1.656250,1.532884,973200
1999-04-19,1.677083,1.677083,1.562500,1.583333,1.465399,782400
1999-04-20,1.583333,1.645833,1.536458,1.552083,1.436477,1692000
1999-04-21,1.552083,1.583333,1.541667,1.578125,1.460579,937200
1999-04-22,1.583333,1.583333,1.494792,1.510417,1.397913,5679600
1999-04-23,1.505208,1.510417,1.427083,1.437500,1.330428,3151200
1999-04-26,1.437500,1.458333,1.333333,1.364583,1.262943,3087600
1999-04-27,1.395833,1.520833,1.375000,1.510417,1.397913,5673600
1999-04-28,1.520833,1.520833,1.453125,1.500000,1.388273,3002400
1999-04-29,1.505208,1.510417,1.468750,1.500000,1.388273,1203600
1999-04-30,1.515625,1.583333,1.505208,1.520833,1.407555,2482800
1999-05-03,1.536458,1.536458,1.489583,1.531250,1.417195,846000
1999-05-04,1.531250,1.531250,1.416667,1.447917,1.340069,2401200
1999-05-05,1.458333,1.479167,1.375000,1.479167,1.368991,3614400
1999-05-06,1.468750,1.500000,1.406250,1.450517,1.342475,890400
1999-05-07,1.406250,1.468750,1.406250,1.458333,1.349710,625200
1999-05-10,1.447917,1.489583,1.447917,1.458333,1.349710,492000
1999-05-11,1.520833,1.583333,1.489583,1.536458,1.422016,4293600
1999-05-12,1.552083,1.588542,1.531250,1.583333,1.465399,4212000
1999-05-13,1.583333,1.625000,1.578125,1.583333,1.465399,1748400
1999-05-14,1.583333,1.583333,1.479167,1.500000,1.388273,711600
1999-05-17,1.479167,1.572917,1.473958,1.572917,1.455758,894000
1999-05-18,1.588542,1.666667,1.541667,1.645833,1.523244,3788400
1999-05-19,1.718750,1.781250,1.546875,1.572917,1.455758,11293200
1999-05-20,1.583333,1.583333,1.390625,1.447917,1.340069,4454400
1999-05-21,1.427083,1.427083,1.375000,1.416667,1.311146,7587600
1999-05-24,1.427083,1.458333,1.390625,1.411458,1.306326,4065600
1999-05-25,1.416667,1.437500,1.406250,1.421875,1.315967,3252000
1999-05-26,1.416667,1.489583,1.416667,1.416667,1.311146,2618400
1999-05-27,1.427083,1.427083,1.406250,1.406250,1.301506,2058000
1999-05-28,1.427083,1.427083,1.406250,1.421875,1.315967,2216400
1999-06-01,1.416667,1.427083,1.395833,1.427083,1.320787,2463600
1999-06-02,1.427083,1.427083,1.375000,1.375000,1.272583,3253200
1999-06-03,1.411458,1.421875,1.395833,1.411458,1.306326,1039200
1999-06-04,1.421875,1.427083,1.411458,1.421875,1.315967,1972800
1999-06-07,1.429683,1.458333,1.427083,1.437500,1.330428,3128400
1999-06-08,1.442708,1.500000,1.437500,1.473958,1.364171,3832800
1999-06-09,1.479167,1.531250,1.479167,1.500000,1.388273,2379600
1999-06-10,1.500000,1.510417,1.489583,1.505208,1.393093,902400
1999-06-11,1.505208,1.510417,1.421875,1.473958,1.364171,1525200
1999-06-14,1.476558,1.479167,1.406250,1.416667,1.311146,1291200
1999-06-15,1.416667,1.427083,1.395833,1.416667,1.311146,1232400
1999-06-16,1.437500,1.500000,1.416667,1.458333,1.349710,1610400
1999-06-17,1.447917,1.468750,1.416667,1.416667,1.311146,1873200
1999-06-18,1.427083,1.427083,1.364583,1.364583,1.262943,3968400
1999-06-21,1.406250,1.437500,1.368483,1.437500,1.330428,2086800
1999-06-22,1.437500,1.437500,1.380208,1.411458,1.306326,4826400
1999-06-23,1.395833,1.437500,1.380208,1.437500,1.330428,5272800
1999-06-24,1.447917,1.447917,1.395833,1.406250,1.301506,2880000
1999-06-25,1.395833,1.442708,1.395833,1.427083,1.320787,1838400
1999-06-28,1.473958,1.473958,1.416667,1.447917,1.340069,2728800
1999-06-29,1.468750,1.484375,1.447917,1.463542,1.354530,2317200
1999-06-30,1.510417,1.593750,1.479167,1.593750,1.475040,6730800
1999-07-01,1.593750,1.593750,1.427083,1.510417,1.397913,2224800
1999-07-02,1.531250,1.619792,1.500000,1.619792,1.499142,5622000
1999-07-06,1.635417,1.635417,1.604167,1.625000,1.503962,4952400
1999-07-07,1.635417,1.635417,1.593750,1.593750,1.475040,1578000
1999-07-08,1.604167,1.656250,1.552083,1.630208,1.508783,4651200
1999-07-09,1.625000,1.781250,1.625000,1.768225,1.636519,5293200
1999-07-12,1.875000,1.927083,1.802083,1.848958,1.711239,10026000
1999-07-13,1.869792,1.880208,1.770833,1.854167,1.716060,3471600
1999-07-14,1.854167,1.895833,1.770833,1.781250,1.648574,3448800
1999-07-15,1.796875,1.854167,1.791667,1.791667,1.658215,3426000
1999-07-16,1.822917,1.843750,1.791667,1.828125,1.691957,2596800
1999-07-19,1.833333,1.838542,1.770833,1.781250,1.648574,1090800
1999-07-20,1.781250,1.781250,1.687500,1.750000,1.619651,4468800
1999-07-21,1.729167,1.729167,1.645833,1.697917,1.571447,2802000
1999-07-22,1.687500,1.687500,1.604167,1.619792,1.499142,5331600
1999-07-23,1.614583,1.666667,1.614583,1.619792,1.499142,2006400
1999-07-26,1.661458,1.661458,1.625000,1.625000,1.503962,1513200
1999-07-27,1.625000,1.635417,1.604167,1.630208,1.508783,2464800
1999-07-28,1.625000,1.677083,1.619792,1.656250,1.532884,6105600
1999-07-29,1.625000,1.677083,1.614583,1.671875,1.547346,9720000
1999-07-30,1.671875,1.718750,1.666667,1.677083,1.552166,11307600
1999-08-02,1.677083,1.697917,1.666667,1.692708,1.566627,7833600
1999-08-03,1.692708,1.692708,1.635417,1.651042,1.528064,6380400
1999-08-04,1.661458,1.666667,1.645833,1.651042,1.528064,2248800
1999-08-05,1.651042,1.677083,1.625000,1.677083,1.552166,6014400
1999-08-06,1.671875,1.682292,1.666667,1.677083,1.552166,4599600
1999-08-09,1.682292,1.697917,1.666667,1.677083,1.552166,776400
1999-08-10,1.687500,1.781250,1.677083,1.708333,1.581088,5301600
1999-08-11,1.739583,1.843750,1.718750,1.822917,1.687137,4942800
1999-08-12,1.833333,1.958333,1.822917,1.911458,1.769083,5990400
1999-08-13,1.895833,1.932292,1.875000,1.890625,1.749802,2116800
1999-08-16,1.906250,1.906250,1.755208,1.817708,1.682317,5586000
1999-08-17,1.822917,1.854167,1.776042,1.822917,1.687137,4838400
1999-08-18,1.802083,1.885417,1.765625,1.864583,1.725700,6997200
1999-08-19,1.994792,2.364583,1.927083,2.260417,2.092050,49174800
1999-08-20,2.265625,2.281250,2.156250,2.239583,2.072768,8827200
1999-08-23,2.208333,2.208333,2.031250,2.104167,1.947438,12699600
1999-08-24,2.072917,2.114583,1.968750,2.093750,1.937797,9951600
1999-08-25,2.098958,2.119792,2.000000,2.083333,1.928156,8758800
1999-08-26,2.083333,2.114583,2.020833,2.052083,1.899234,6884400
1999-08-27,2.093750,2.250000,2.083333,2.166667,2.005283,13809600
1999-08-30,2.203125,2.244792,2.067708,2.158850,1.998048,3966000
1999-08-31,2.166667,2.354167,2.125000,2.343750,2.169176,19671600
1999-09-01,2.343750,2.343750,2.197917,2.234375,2.067948,14133600
1999-09-02,2.161458,2.218750,2.114583,2.208333,2.043846,8527200
1999-09-03,2.250000,2.281250,2.208333,2.223958,2.058307,6471600
1999-09-07,2.260417,2.260417,2.203125,2.213542,2.048666,3110400
1999-09-08,2.218750,2.234375,2.208333,2.208333,2.043846,4251600
1999-09-09,2.229167,2.244792,2.135417,2.177083,2.014924,5236800
1999-09-10,2.213542,2.239583,2.197917,2.208333,2.043846,4185600
1999-09-13,2.218750,2.218750,2.114583,2.135417,1.976361,4360800
1999-09-14,2.135417,2.135417,2.062500,2.072917,1.918516,6259200
1999-09-15,2.046875,2.114583,2.031250,2.088542,1.932977,5318400
1999-09-16,2.062500,2.083333,2.010417,2.036458,1.884773,3952800
1999-09-17,2.023433,2.041667,1.958333,2.031250,1.879953,4291200
1999-09-20,1.994792,2.020833,1.958333,1.958333,1.812467,5727600
1999-09-21,1.916667,1.927083,1.744792,1.770833,1.638933,18433200
1999-09-22,1.770833,1.822917,1.666667,1.812500,1.677496,9399600
1999-09-23,1.817708,1.822917,1.645833,1.661458,1.537705,9489600
1999-09-24,1.666667,1.708333,1.395833,1.510417,1.397913,17122800
1999-09-27,1.609375,1.635417,1.510417,1.604167,1.484681,10800000
1999-09-28,1.606767,1.770833,1.604167,1.750000,1.619651,10329600
1999-09-29,1.786458,1.854167,1.583333,1.609375,1.489501,14851200
1999-09-30,1.666667,1.718750,1.583333,1.604167,1.484681,8563200
1999-10-01,1.578125,1.635417,1.510417,1.593750,1.475040,8694000
1999-10-04,1.645833,1.651042,1.604167,1.625000,1.503962,4440000
1999-10-05,1.625000,1.791667,1.625000,1.781250,1.648574,11952000
1999-10-06,1.786458,2.083333,1.770833,1.994792,1.846210,37718400
1999-10-07,2.078125,2.078125,1.854167,1.864583,1.725700,12182400
1999-10-08,1.864583,2.015625,1.791667,1.958333,1.812467,9973200
1999-10-11,1.973958,1.979167,1.854167,1.906250,1.764263,13611600
1999-10-12,1.916667,1.937500,1.875000,1.880208,1.740161,8074800
1999-10-13,1.859375,1.859375,1.791667,1.828125,1.691957,7009200
1999-10-14,1.833333,1.833333,1.770833,1.791667,1.658215,4808400
1999-10-15,1.703125,1.791667,1.697917,1.781250,1.648574,5268000
1999-10-18,1.786458,1.786458,1.677083,1.687500,1.561807,5379600
1999-10-19,1.739583,1.739583,1.588542,1.619792,1.499142,7723200
1999-10-20,1.645833,1.697917,1.619792,1.677083,1.552166,8718000
1999-10-21,1.671875,1.755208,1.625000,1.755208,1.624472,9553200
1999-10-22,1.750000,1.848958,1.750000,1.796875,1.663035,7168800
1999-10-25,1.786458,1.812500,1.708333,1.708333,1.581088,5346000
1999-10-26,1.781250,1.937500,1.770833,1.875000,1.735341,12031200
1999-10-27,1.885417,1.895833,1.760417,1.791667,1.658215,5353200
1999-10-28,1.802083,1.833333,1.697917,1.708333,1.581088,5569200
1999-10-29,1.729167,1.875000,1.718750,1.843750,1.706419,8263200
1999-11-01,1.812500,2.031250,1.812500,1.958333,1.812467,19563600
1999-11-02,1.994792,2.093750,1.979167,2.083333,1.928156,20937600
1999-11-03,2.166667,2.343750,2.151042,2.286458,2.116152,50292000
1999-11-04,2.312500,2.494792,2.312500,2.432292,2.251123,31508400
1999-11-05,2.500000,2.520833,2.239583,2.354167,2.178817,15409200
1999-11-08,2.281250,2.489583,2.208333,2.421875,2.241482,11750400
1999-11-09,2.416667,2.427083,2.291667,2.385417,2.207740,6808800
1999-11-10,2.393225,2.395833,2.317708,2.364583,2.188458,3601200
1999-11-11,2.364583,2.656250,2.312500,2.531250,2.342711,14067600
1999-11-12,2.640625,2.666667,2.489583,2.666667,2.468041,12537600
1999-11-15,2.684892,2.765625,2.572917,2.614583,2.419837,9055200
1999-11-16,2.677083,2.916667,2.666667,2.864583,2.651215,18094800
1999-11-17,2.916667,3.125000,2.875000,2.973958,2.752443,19659600
1999-11-18,3.036458,3.062500,2.958333,2.984375,2.762084,5899200
1999-11-19,3.343750,3.697917,3.333333,3.572917,3.306788,54129600
1999-11-22,3.664058,3.666667,3.354167,3.567708,3.301968,13504800
1999-11-23,3.203125,3.348958,3.166667,3.312500,3.065768,13831200
1999-11-24,3.296875,3.333333,2.963542,3.208333,2.969361,10171200
1999-11-26,3.177083,3.208333,3.083333,3.187500,2.950080,1794000
1999-11-29,3.177083,3.218750,3.000000,3.072917,2.844031,7465200
1999-11-30,3.083333,3.135417,2.885417,2.885417,2.670497,7867200
1999-12-01,2.885417,3.072917,2.885417,3.031250,2.805467,5588400
1999-12-02,3.041667,3.296875,3.041667,3.255208,3.012744,7747200
1999-12-03,3.286458,3.343750,3.135417,3.177083,2.940439,8569200
1999-12-06,3.187500,3.281250,3.187500,3.265625,3.022386,4465200
1999-12-07,3.291667,3.296875,3.031250,3.156250,2.921157,4659600
1999-12-08,3.145833,3.328125,3.135417,3.296875,3.051308,5042400
1999-12-09,3.291667,3.375000,3.083333,3.197917,2.959720,5373600
1999-12-10,3.255208,3.270833,3.104167,3.161458,2.925978,2457600
1999-12-13,3.125000,3.234375,3.083333,3.151042,2.916337,4596000
1999-12-14,3.156250,3.234375,3.067708,3.098958,2.868133,6847200
1999-12-15,3.078125,3.093750,2.927083,3.000000,2.776546,5149200
1999-12-16,3.015625,3.062500,2.968750,2.979167,2.757264,3314400
1999-12-17,3.062500,3.182292,3.046875,3.135417,2.901876,6552000
1999-12-20,3.140625,3.457025,3.031250,3.395833,3.142895,10060800
1999-12-21,3.395833,3.546875,3.270833,3.541667,3.277866,9709200
1999-12-22,3.552083,3.666667,3.416667,3.625000,3.354993,6279600
1999-12-23,3.630208,3.875000,3.614583,3.864583,3.576730,7005600
1999-12-27,3.947917,3.953125,3.677083,3.718750,3.441760,5060400
1999-12-28,3.718750,3.854167,3.697917,3.708333,3.432119,4479600
1999-12-29,3.700517,3.875000,3.697917,3.833333,3.547807,3303600
1999-12-30,3.833333,3.890625,3.770833,3.864583,3.576730,3494400
1999-12-31,3.856767,3.916667,3.843750,3.911458,3.620114,3183600
2000-01-03,3.937500,3.968750,3.677083,3.901042,3.610473,7522800
2000-01-04,3.833333,3.843750,3.604167,3.796875,3.514066,7512000
2000-01-05,3.687500,3.750000,3.619792,3.671875,3.398376,4708800
2000-01-06,3.671875,3.671875,3.291667,3.432292,3.176638,3012000
2000-01-07,3.416667,3.526042,3.364583,3.489583,3.229662,1779600
2000-01-10,3.500000,3.750000,3.437500,3.604167,3.335711,5996400
2000-01-11,3.583333,3.625000,3.458333,3.458333,3.200740,3703200
2000-01-12,3.458333,3.463542,3.322917,3.369792,3.118793,3088800
2000-01-13,3.364583,3.541667,3.322917,3.510417,3.248944,3304800
2000-01-14,3.562500,3.807292,3.552083,3.661458,3.388735,15114000
2000-01-18,3.708333,3.833333,3.541667,3.817708,3.533347,6541200
2000-01-19,3.833333,3.833333,3.750000,3.781250,3.499604,4117200
2000-01-20,3.812500,4.020833,3.739583,3.770833,3.489963,4489200
2000-01-21,3.760417,3.776042,3.635417,3.729167,3.451401,13606800
2000-01-24,3.848958,3.848958,3.541667,3.562500,3.297148,6423600
2000-01-25,3.578125,3.614583,3.416667,3.531250,3.268226,5928000
2000-01-26,3.531250,3.625000,3.322917,3.385417,3.133255,5811600
2000-01-27,3.411458,3.411458,3.083333,3.208333,2.969361,11455200
2000-01-28,3.166667,3.187500,2.989583,3.114583,2.882594,4861200
2000-01-31,3.130208,3.197917,2.916667,3.088542,2.858492,4560000
2000-02-01,3.093750,3.187500,2.979167,3.161458,2.925978,2324400
2000-02-02,3.177083,3.312500,3.161458,3.250000,3.007924,3726000
2000-02-03,3.354167,3.421875,3.281250,3.302083,3.056128,2706000
2000-02-04,3.406250,3.406250,3.312500,3.380208,3.128434,3092400
2000-02-07,3.395833,3.395833,3.166667,3.171875,2.935618,5437200
2000-02-08,3.250000,3.437500,3.166667,3.322917,3.075409,11720400
2000-02-09,3.447917,3.505208,3.401042,3.406250,3.152536,14726400
2000-02-10,3.614583,4.166667,3.614583,4.104167,3.798469,24252000
2000-02-11,4.307292,4.312500,3.864583,4.166667,3.856313,10594800
2000-02-14,4.177083,4.833333,4.135417,4.833333,4.473323,16252800
2000-02-15,4.843750,4.848958,4.447917,4.645833,4.299788,11262000
2000-02-16,4.697917,5.020833,4.645833,4.859375,4.497425,25489200
2000-02-17,4.854167,5.062500,4.781250,5.031250,4.656496,13394400
2000-02-18,4.958333,5.687500,4.921875,5.614583,5.196381,24021600
2000-02-22,5.437500,5.510417,5.250000,5.458333,5.051770,13562400
2000-02-23,5.395833,5.546875,5.328125,5.489583,5.080692,12784800
2000-02-24,5.520833,5.557292,5.208333,5.437500,5.032489,6108000
2000-02-25,5.442708,5.442708,4.875000,5.098958,4.719164,6968400
2000-02-28,5.072917,5.125000,4.979167,5.062500,4.685421,12946800
2000-02-29,5.031250,5.395833,5.031250,5.333333,4.936082,7651200
2000-03-01,5.333333,5.333333,5.093750,5.177083,4.791470,9589200
2000-03-02,5.218750,5.218750,4.812500,4.828125,4.468503,4776000
2000-03-03,4.833333,4.958333,4.791667,4.906250,4.540808,6842400
2000-03-06,4.937500,5.312500,4.833333,4.875000,4.511886,10802400
2000-03-07,6.250000,7.270833,5.979167,6.942708,6.425582,48805200
2000-03-08,6.938800,7.062500,6.437500,7.000000,6.478606,16718400
2000-03-09,7.083333,9.000000,7.062500,8.358067,7.735517,23823600
2000-03-10,8.791667,12.083333,8.729167,9.833333,9.100898,54030000
2000-03-13,8.916667,12.500000,8.833333,12.437500,11.511096,60379200
2000-03-14,12.369792,12.369792,9.000000,9.177083,8.493527,39194400
2000-03-15,9.834633,10.088542,8.500000,8.802083,8.146460,24890400
2000-03-16,9.083333,9.395833,7.718750,7.847650,7.263118,18759600
2000-03-17,7.666667,8.916667,7.665359,8.322917,7.702986,13940400
2000-03-20,8.651042,8.927083,8.052083,8.317708,7.698164,9132000
2000-03-21,8.333333,8.406250,7.250000,7.906250,7.317354,13416000
2000-03-22,7.968750,8.208333,7.833333,7.963542,7.370378,5764800
2000-03-23,7.890625,8.541667,7.875000,8.104167,7.500529,7735200
2000-03-24,8.052083,8.416667,7.500000,7.765625,7.187204,5790000
2000-03-27,7.750000,8.000000,7.187500,7.255208,6.714807,9723600
2000-03-28,7.005208,7.083333,6.583333,6.713542,6.213484,9832800
2000-03-29,6.739583,6.895833,6.000000,6.270833,5.803751,11736000
2000-03-30,6.083333,6.812500,5.875000,6.234375,5.770008,9048000
2000-03-31,6.660150,7.322917,6.541667,7.040359,6.515959,24074400
2000-04-03,6.976558,7.000000,6.307292,6.489583,6.006207,8248800
2000-04-04,6.833333,6.947917,4.750000,6.250000,5.784469,12844800
2000-04-05,6.312500,8.125000,5.989583,7.640625,7.071514,15990000
2000-04-06,7.994792,8.401042,7.614583,7.994792,7.399301,10114800
2000-04-07,8.395833,8.750000,8.041667,8.546875,7.910261,7964400
2000-04-10,8.692708,9.197917,7.630208,7.791667,7.211305,9882000
2000-04-11,7.248692,7.916667,6.666667,7.328125,6.782290,11439600
2000-04-12,7.338542,7.500000,6.541667,6.567708,6.078513,7836000
2000-04-13,6.619792,6.854167,6.177083,6.286458,5.818213,7832400
2000-04-14,5.885417,6.338542,5.458333,5.733067,5.306039,10548000
2000-04-17,5.250000,6.250000,5.250000,6.026042,5.577194,7352400
2000-04-18,6.632808,7.479167,6.437500,7.093750,6.565373,11937600
2000-04-19,7.317708,7.416667,6.666667,6.755208,6.252047,6958800
2000-04-20,6.937500,7.067708,6.625000,6.718750,6.218304,3848400
2000-04-24,6.333333,6.614583,6.052083,6.385417,5.909800,5149200
2000-04-25,6.671875,7.291667,6.656250,7.083333,6.555732,6242400
2000-04-26,7.578125,7.750000,7.000000,7.010417,6.488246,6352800
2000-04-27,6.541667,7.656250,6.505208,7.583333,7.018491,7024800
2000-04-28,7.703125,8.000000,7.427083,7.427083,6.873878,4476000
2000-05-01,7.708333,7.875000,7.484375,7.666667,7.095615,2985600
2000-05-02,7.666667,8.114583,7.156250,7.369792,6.820854,5850000
2000-05-03,7.322917,7.562500,6.666667,7.250000,6.709986,8229600
2000-05-04,7.234375,7.645833,7.171875,7.338542,6.791931,6030000
2000-05-05,7.307292,7.854167,7.208333,7.677083,7.105257,4264800
2000-05-08,7.479167,7.750000,7.385417,7.395833,6.844956,4628400
2000-05-09,7.520833,7.583333,7.083333,7.291667,6.748549,4420800
2000-05-10,7.218750,7.223958,6.510417,6.572917,6.083333,6852000
2000-05-11,6.666667,6.973958,6.578125,6.854167,6.343636,6147600
2000-05-12,7.041667,7.416667,6.645833,6.645833,6.150819,4695600
2000-05-15,6.614583,7.218750,6.291667,7.104167,6.575014,7052400
2000-05-16,7.416667,8.057292,7.333333,7.833333,7.249868,9160800
2000-05-17,8.250000,9.552083,8.244792,9.208333,8.522453,32265600
2000-05-18,9.260417,9.411458,8.526042,8.583333,7.944006,12747600
2000-05-19,8.333333,8.791667,8.270833,8.510417,7.876523,13029600
2000-05-22,8.416667,9.062500,7.671875,9.062500,8.387482,12928800
2000-05-23,8.833333,9.828125,8.687500,8.989583,8.319996,19464000
2000-05-24,8.979167,9.125000,7.687500,8.875000,8.213944,18490800
2000-05-25,9.005208,9.541667,8.640625,8.750000,8.098257,14229600
2000-05-26,8.794267,9.036458,8.250000,8.794267,8.139227,4586400
2000-05-30,9.031250,9.385417,8.989583,9.156250,8.474247,7591200
2000-05-31,9.125000,9.666667,9.125000,9.510417,8.802034,11738400
2000-06-01,9.791667,9.880208,9.531250,9.776042,9.047874,10474800
2000-06-02,9.979167,11.083333,9.979167,10.963542,10.146925,14804400
2000-06-05,10.947917,11.750000,10.510417,11.199217,10.365046,12297600
2000-06-06,11.239583,11.656250,10.583333,10.640625,9.848060,9397200
2000-06-07,10.562500,10.651042,10.010417,10.166667,9.409404,8308800
2000-06-08,10.427083,10.437500,9.833333,10.244792,9.481709,11517600
2000-06-09,10.437500,11.000000,10.281250,10.536458,9.751653,11682000
2000-06-12,10.583333,10.671875,10.020833,10.255208,9.491349,9500400
2000-06-13,9.968750,10.583333,9.916667,10.578125,9.790216,11196000
2000-06-14,10.776042,10.833333,10.428383,10.567708,9.780574,6877200
2000-06-15,10.536458,10.843750,9.968750,10.843750,10.036056,8464800
2000-06-16,10.804684,12.500000,10.802083,12.479167,11.549659,24696000
2000-06-19,12.447917,14.270833,12.135417,13.260417,12.272716,26304000
2000-06-20,13.489583,13.645833,12.916667,13.083333,12.108825,15256800
2000-06-21,12.880208,14.666667,12.880208,14.411458,13.338022,15372000
2000-06-22,14.348958,14.645833,13.489583,13.625000,12.610145,15358800
2000-06-23,13.260417,13.427083,12.333333,12.338542,11.419507,15184800
2000-06-26,12.583333,13.906250,12.385417,13.828125,12.798139,15457200
2000-06-27,13.708333,13.937500,11.510417,11.875000,10.990492,15115200
2000-06-28,12.125000,12.583333,11.083333,11.416667,10.566298,14665200
2000-06-29,11.218750,11.218750,9.583333,9.770833,9.043055,29622000
2000-06-30,10.229167,10.770833,9.729167,10.593750,9.804674,30229800
2000-07-03,10.666667,11.000000,10.083333,10.187500,9.428687,5817000
2000-07-05,10.145833,10.166667,8.791667,9.093750,8.416405,19448400
2000-07-06,9.104167,9.979167,8.885417,9.645833,8.927365,15098400
2000-07-07,10.000000,10.166667,9.500000,9.697917,8.975570,8664000
2000-07-10,9.531250,10.437500,9.437500,10.197917,9.438328,8781600
2000-07-11,10.062500,11.541667,9.947917,11.020833,10.199949,18882600
2000-07-12,11.479167,11.906250,11.114583,11.333333,10.489170,9703800
2000-07-13,11.572917,12.458333,11.552083,12.395833,11.472531,11468400
2000-07-14,12.645833,12.885417,12.000000,12.302083,11.385764,7005000
2000-07-17,12.489583,12.500000,12.125000,12.166667,11.260436,2638800
2000-07-18,11.500000,12.500000,11.500000,11.927083,11.038693,4591800
2000-07-19,11.500000,11.583333,10.927083,11.166667,10.334916,4737600
2000-07-20,11.156250,11.750000,11.125000,11.468750,10.614503,3574800
2000-07-21,11.500000,11.833333,11.333333,11.614583,10.749472,6298200
2000-07-24,11.625000,11.708333,10.166667,10.625000,9.833597,7027800
2000-07-25,10.791667,10.875000,10.208333,10.229167,9.467249,8382600
2000-07-26,10.229167,10.229167,9.187500,9.468750,8.763471,9501600
2000-07-27,9.166667,9.291667,8.666667,8.791667,8.136823,8289000
2000-07-28,8.833333,9.656250,8.333333,9.000000,8.329637,12816600
2000-07-31,9.500000,10.020833,9.000000,10.000000,9.255151,9280800
2000-08-01,10.000000,10.083333,9.729167,9.802083,9.071979,8765400
2000-08-02,9.666667,10.161450,9.510417,10.000000,9.255151,8635800
2000-08-03,9.000000,10.666667,9.000000,10.437500,9.660064,9216600
2000-08-04,10.687500,10.833333,10.458333,10.625000,9.833597,4869600
2000-08-07,10.697917,11.552083,10.656250,11.458333,10.604859,6173400
2000-08-08,11.208333,11.833333,11.166667,11.208333,10.373482,3202800
2000-08-09,11.354167,11.427083,10.718750,10.875000,10.064978,3406200
2000-08-10,10.625000,11.250000,10.416667,11.000000,10.180667,3910800
2000-08-11,11.020833,11.104167,10.229167,10.739583,9.939647,3298200
2000-08-14,10.875000,10.979167,10.500000,10.843750,10.036056,2714400
2000-08-15,10.895833,12.083333,10.864583,11.867184,10.983258,11083200
2000-08-16,12.510417,12.510417,11.802083,12.166667,11.260436,6655800
2000-08-17,12.000000,12.458333,11.958333,12.395833,11.472531,3245400
2000-08-18,12.343750,12.979167,12.322917,12.833333,11.877445,5118000
2000-08-21,13.302083,13.531250,13.000000,13.031250,12.060618,11611800
2000-08-22,12.354167,12.625000,11.687500,11.802083,10.923006,16471800
2000-08-23,11.614583,12.510417,11.375000,12.489583,11.559299,8820000
2000-08-24,12.416667,12.947917,12.187500,12.822917,11.867805,8315400
2000-08-25,12.687500,12.958333,12.437500,12.500000,11.568938,3826200
2000-08-28,12.562500,13.166667,12.416667,13.000000,12.031697,4731600
2000-08-29,13.052083,13.083333,12.833333,12.968750,12.002778,3734400
2000-08-30,12.822917,13.260417,12.687500,13.083333,12.108825,4452000
2000-08-31,13.281250,13.750000,13.020833,13.229167,12.243793,9722400
2000-09-01,13.500000,13.625000,13.104167,13.250000,12.263074,5103600
2000-09-05,13.562500,13.572917,13.177083,13.270833,12.282356,6153600
2000-09-06,13.322917,13.322917,12.250000,12.354167,11.433969,5753400
2000-09-07,12.541667,13.041667,12.020833,13.020833,12.050978,5994000
2000-09-08,12.875000,13.166667,12.208333,12.250000,11.337561,5566200
2000-09-11,12.093750,12.166667,11.291667,11.750000,10.874804,7147200
2000-09-12,11.760417,12.375000,11.500000,11.677083,10.807316,3149400
2000-09-13,11.645833,11.864583,11.395833,11.671866,10.802488,5999400
2000-09-14,11.729167,12.250000,11.416667,11.562500,10.701268,5408400
2000-09-15,11.500000,11.979167,11.416667,11.815100,10.935052,6064800
2000-09-18,11.843750,11.916667,11.000000,11.125000,10.296354,4087200
2000-09-19,10.614583,11.500000,10.500000,11.468750,10.614503,7527600
2000-09-20,11.156250,11.375000,10.916667,11.093750,10.267433,5689200
2000-09-21,11.177083,11.822917,11.166667,11.570300,10.708488,8670600
2000-09-22,10.427083,11.916667,10.416667,11.770833,10.894087,9681600
2000-09-25,12.135417,12.791667,12.041667,12.614583,11.674989,11689200
2000-09-26,12.750000,13.062500,12.166667,12.916667,11.954571,8433600
2000-09-27,12.812500,14.229167,12.812500,13.625000,12.610145,16903200
2000-09-28,13.500000,14.125000,13.166667,14.041667,12.995776,8345400
2000-09-29,13.645833,14.166667,13.416667,13.645833,12.629425,9346800
2000-10-02,13.833333,14.375000,12.979167,13.322917,12.330560,8514600
2000-10-03,13.395833,13.500000,12.500000,12.604167,11.665348,7506600
2000-10-04,12.270833,12.666667,12.104167,12.458333,11.530377,10489200
2000-10-05,12.552083,12.552083,11.906250,12.166667,11.260436,13126200
2000-10-06,12.197917,12.281250,11.239583,11.406250,10.556657,25679400
2000-10-09,11.114583,11.833333,10.333333,11.656250,10.788036,16631400
2000-10-10,11.166667,11.729167,10.666667,10.770833,9.968570,10398600
2000-10-11,10.114583,11.458333,9.708333,10.864583,10.055337,13394400
2000-10-12,11.104167,11.750000,10.333333,10.437500,9.660064,10040400
2000-10-13,10.510417,11.166667,10.398434,10.854167,10.045699,14474400
2000-10-16,10.854167,10.854167,10.354167,10.604167,9.814318,8480400
2000-10-17,10.562500,10.604167,9.718750,9.833333,9.100898,11581200
2000-10-18,9.197917,10.239583,8.760417,9.677083,8.956287,10423800
2000-10-19,10.302083,10.750000,10.145833,10.614583,9.823956,7372200
2000-10-20,10.364583,11.875000,10.291667,11.604167,10.739830,9684000
2000-10-23,11.697917,11.770833,10.979167,11.343750,10.498813,4552800
2000-10-24,11.291667,11.479167,10.937500,10.979167,10.161384,4849200
2000-10-25,10.677083,10.833333,9.947917,10.020833,9.274434,9637800
2000-10-26,10.083333,10.833333,9.375000,10.447917,9.669706,6644400
2000-10-27,10.458333,10.716133,9.833333,10.208333,9.447967,5274000
2000-10-30,10.041667,10.268217,9.479167,9.489583,8.782752,4803000
2000-10-31,9.864583,10.520833,9.562500,10.356767,9.585344,7481400
2000-11-01,10.104167,10.500000,9.750000,10.354167,9.582939,7613400
2000-11-02,10.718750,11.416667,10.541667,11.145833,10.315639,4822200
2000-11-03,11.000000,12.083333,10.916667,11.875000,10.990492,6715800
2000-11-06,12.156250,13.333333,12.083333,12.791667,11.838880,15876000
2000-11-07,12.583333,12.583333,11.500000,11.927083,11.038693,6456000
2000-11-08,12.062500,12.062500,11.395833,11.572917,10.710909,4677000
2000-11-09,10.875000,11.416667,9.854167,10.364583,9.592580,14113200
2000-11-10,10.718750,11.250000,9.541667,9.802083,9.071979,20131200
2000-11-13,9.312500,10.916667,9.000000,9.843750,9.110538,13251000
2000-11-14,10.500000,11.729167,10.416667,11.645833,10.778393,11768400
2000-11-15,11.437500,11.802083,10.968750,11.492184,10.636189,10596600
2000-11-16,11.166667,11.458333,10.666667,10.770833,9.968570,5888400
2000-11-17,10.854167,11.406250,10.208333,10.562500,9.775755,4469400
2000-11-20,10.171866,10.177083,9.635417,9.750000,9.023772,7468800
2000-11-21,10.166667,10.250000,9.062500,9.562500,8.850239,9562800
2000-11-22,9.166667,9.458333,8.666667,9.062500,8.387482,10243800
2000-11-24,9.166667,9.937500,9.166667,9.583333,8.869518,4126800
2000-11-27,10.270833,10.333333,8.877600,9.260417,8.570656,9096600
2000-11-28,9.401033,9.500000,8.364583,8.570300,7.931941,9558600
2000-11-29,8.697917,8.708333,7.395833,8.041667,7.442685,15910200
2000-11-30,7.354167,7.354167,6.062500,6.750000,6.247227,24540600
2000-12-01,7.166667,8.125000,7.125000,7.416667,6.864238,19602000
2000-12-04,7.463533,7.708333,6.958333,7.531250,6.970286,11856600
2000-12-05,8.062500,8.354167,7.312500,8.020833,7.423403,24930600
2000-12-06,7.864583,8.083333,6.833333,6.875000,6.362917,23773200
2000-12-07,6.541667,7.114583,6.187500,6.750000,6.247227,19629600
2000-12-08,7.447917,8.333333,6.752600,8.291667,7.674064,21334800
2000-12-11,8.020833,8.458333,7.812500,8.291667,7.674064,18940800
2000-12-12,8.083333,8.229167,7.791667,8.062500,7.461966,10237800
2000-12-13,8.031250,8.166667,7.291667,7.437500,6.883520,16876800
2000-12-14,7.385417,7.447917,6.750000,6.927083,6.411121,14225400
2000-12-15,6.489583,6.895833,6.208333,6.239583,5.774829,27360600
2000-12-18,6.500000,6.666667,6.354167,6.445300,5.965223,16471800
2000-12-19,6.541667,7.125000,5.833333,5.958333,5.514528,23655000
2000-12-20,5.656250,6.479167,5.020833,5.312500,4.916799,27634800
2000-12-21,5.239583,5.958333,4.583333,4.645833,4.299788,21131400
2000-12-22,5.020833,6.375000,5.020833,5.843750,5.408479,23727000
2000-12-26,5.916667,5.979167,5.229167,5.604167,5.186741,8595600
2000-12-27,5.541667,6.208333,5.312500,5.979167,5.533811,8486400
2000-12-28,5.739583,6.166667,5.645833,6.010417,5.562732,10480800
2000-12-29,6.000000,6.197917,5.333333,5.460933,5.054176,12379200
2001-01-02,5.500000,5.572917,4.968750,4.989583,4.617936,7270200
2001-01-03,4.833333,6.572917,4.708333,6.520833,6.035130,22759200
2001-01-04,6.406250,7.437500,6.229167,7.270833,6.729269,20386200
2001-01-05,7.208333,7.239583,6.041667,6.182283,5.721796,10819200
2001-01-08,6.010417,7.041667,6.010417,6.770833,6.266510,14344200
2001-01-09,6.864583,7.041667,6.531250,6.906250,6.391839,7572600
2001-01-10,6.552083,7.416667,6.395833,7.385417,6.835315,9823200
2001-01-11,7.208333,8.312500,7.083333,8.000000,7.404121,11191200
2001-01-12,8.135417,8.625000,7.750000,7.833333,7.249868,16725000
2001-01-16,7.875000,7.875000,7.093750,7.218750,6.681062,10374600
2001-01-17,7.770833,8.000000,7.447917,7.479167,6.922081,14814600
2001-01-18,7.479167,9.125000,7.312500,8.914050,8.250087,23704200
2001-01-19,9.166667,9.500000,8.541667,8.677083,8.030773,25467600
2001-01-22,8.416667,8.750000,8.093750,8.333333,7.712626,9442800
2001-01-23,8.229167,9.333333,8.187500,9.164050,8.481467,10840800
2001-01-24,9.156250,9.250000,8.593750,9.125000,8.445326,11293200
2001-01-25,8.812500,8.833333,8.020833,8.208333,7.596938,11000400
2001-01-26,7.750000,8.567700,7.692700,8.468750,7.837956,6481200
2001-01-29,8.208333,8.520833,7.916667,8.510417,7.876523,8854200
2001-01-30,8.645833,8.880200,8.479167,8.697917,8.050054,6093000
2001-01-31,8.708333,9.041667,8.416667,8.604167,7.963287,8958600
2001-02-01,8.604167,8.708333,8.229167,8.648434,8.004256,9296400
2001-02-02,8.656250,8.854167,7.750000,7.812500,7.230587,8013000
2001-02-05,7.802083,7.854167,7.343750,7.802083,7.220946,9189600
2001-02-06,7.656250,8.000000,7.638017,7.843750,7.259509,6261000
2001-02-07,7.791667,7.854167,7.062500,7.479167,6.922081,18009600
2001-02-08,7.520833,7.947917,7.406250,7.437500,6.883520,9607200
2001-02-09,7.375000,7.427083,7.114583,7.385417,6.835315,6490200
2001-02-12,7.302083,7.385417,6.833333,7.187500,6.652139,8858400
2001-02-13,7.322917,7.750000,7.239583,7.406250,6.854598,11693400
2001-02-14,7.312500,8.166667,7.000000,7.947917,7.355917,17272200
2001-02-15,9.041667,9.562500,8.979167,9.406250,8.705626,27712800
2001-02-16,8.927083,10.166667,8.916667,9.916667,9.178026,27029400
2001-02-20,9.666667,9.875000,8.916667,8.927083,8.262151,17532600
2001-02-21,8.593750,9.708333,8.500000,9.333333,8.638139,16162800
2001-02-22,9.281250,10.000000,9.000000,9.729167,9.004492,20382600
2001-02-23,9.677083,9.833333,8.750000,9.057283,8.382653,25866600
2001-02-26,8.791667,9.041667,8.468750,8.854167,8.194665,18795600
2001-02-27,8.635417,8.979167,8.270833,8.322917,7.702986,13345800
2001-02-28,8.260417,8.750000,7.291667,7.447917,6.893159,19601400
2001-03-01,7.354167,8.166667,6.666667,8.036450,7.437856,22882200
2001-03-02,7.458333,7.989583,7.166667,7.263017,6.722032,35337600
2001-03-05,6.979167,7.520833,6.937500,7.333333,6.787111,18557400
2001-03-06,7.708333,8.302083,7.578117,8.041667,7.442685,20860200
2001-03-07,8.218750,8.708333,8.072917,8.687500,8.040412,23457000
2001-03-08,8.437500,9.072917,8.437500,8.979167,8.310355,20733600
2001-03-09,8.510417,8.552083,7.562500,8.343750,7.722268,30419400
2001-03-12,8.062500,8.437500,7.687500,8.041667,7.442685,19053600
2001-03-13,8.145833,9.125000,8.104167,9.000000,8.329637,27058800
2001-03-14,8.593750,9.541667,8.593750,9.510417,8.802034,33778200
2001-03-15,10.093750,10.622383,9.729167,9.979167,9.235871,46899600
2001-03-16,9.822917,10.208333,9.531250,9.937500,9.197307,30630000
2001-03-19,9.885417,10.583333,9.346350,10.510417,9.727550,23597400
2001-03-20,10.385417,11.041667,9.416667,9.531250,8.821319,49764000
2001-03-21,9.552083,10.520833,9.500000,10.239583,9.476891,46933800
2001-03-22,10.333333,11.312500,10.250000,11.270833,10.431326,42444000
2001-03-23,11.479167,11.687500,10.604167,11.166667,10.334916,37741800
2001-03-26,11.166667,11.833333,11.166667,11.770833,10.894087,38574000
2001-03-27,11.541667,11.947917,10.854167,11.343750,10.498813,42553800
2001-03-28,11.031250,11.645833,11.000000,11.351550,10.506031,35832000
2001-03-29,11.252600,11.916667,11.020833,11.520833,10.662707,40824000
2001-03-30,11.437500,11.656250,10.750000,10.820300,10.014354,35579400
2001-04-02,10.791667,11.052083,10.229167,10.364583,9.592580,31629000
2001-04-03,10.208333,10.989583,10.197917,10.708333,9.910724,49790400
2001-04-04,10.302083,10.322917,8.968750,9.604167,8.888803,84061800
2001-04-05,10.239583,10.656250,9.958333,10.489583,9.708267,43119000
2001-04-06,10.354167,11.000000,10.177083,10.447917,9.669706,38691600
2001-04-09,10.650000,10.908334,9.775000,9.940000,9.199619,27429000
2001-04-10,10.178333,11.200000,10.085000,10.878333,10.068062,29660400
2001-04-11,11.548333,11.966666,11.216666,11.535000,10.675818,35671800
2001-04-12,11.321667,12.208333,11.105000,11.708333,10.836239,36006600
2001-04-16,11.500000,11.741667,11.213333,11.423333,10.572468,19102800
2001-04-17,11.255000,12.075000,11.250000,11.983334,11.090759,27811200
2001-04-18,12.488334,14.066667,12.488334,12.876667,11.917553,57546600
2001-04-19,12.950000,14.205000,12.891666,13.983334,12.941788,40806600
2001-04-20,13.815000,14.998333,13.450000,14.493333,13.413800,44346000
2001-04-23,14.178333,14.191667,13.583333,13.728333,12.705780,30975000
2001-04-24,13.690000,14.715000,12.541667,12.756667,11.806487,45708000
2001-04-25,12.790000,13.798333,12.741667,13.343333,12.349456,35593200
2001-04-26,13.633333,13.633333,12.166667,12.291667,11.376124,37150200
2001-04-27,12.766666,13.221666,12.518333,13.166667,12.185952,22891800
2001-04-30,13.525000,14.658334,13.238334,13.883333,12.849236,39582000
2001-05-01,13.933333,15.216666,13.708333,15.180000,14.049319,46684200
2001-05-02,15.575000,15.575000,14.633333,14.831667,13.726934,38694600
2001-05-03,14.383333,14.833333,14.293333,14.766666,13.666773,24012600
2001-05-04,14.333333,15.205000,14.266666,14.970000,13.854959,23838000
2001-05-07,14.913333,15.750000,14.738334,15.641666,14.476599,24390000
2001-05-08,15.873333,15.880000,14.376667,14.510000,13.429223,40503600
2001-05-09,14.048333,14.353333,13.733334,13.830000,12.799874,32976000
2001-05-10,14.230000,14.398334,13.200000,13.365000,12.369508,24972600
2001-05-11,13.331667,13.416667,12.756667,13.023334,12.053291,23030400
2001-05-14,13.061666,13.290000,12.591666,13.135000,12.156641,17560800
2001-05-15,13.250000,14.166667,13.100000,13.606667,12.593176,31065000
2001-05-16,13.295000,14.333333,13.210000,14.248333,13.187048,23927400
2001-05-17,14.295000,14.916667,14.075000,14.500000,13.419971,22976400
2001-05-18,14.451667,14.833333,14.100000,14.383333,13.311996,14395800
2001-05-21,14.351666,15.333333,14.063334,15.033334,13.913580,26617200
2001-05-22,15.253333,15.633333,14.666667,15.483334,14.330060,26249400
2001-05-23,16.091667,16.666666,15.166667,15.351666,14.208200,56122800
2001-05-24,15.250000,15.973333,14.791667,15.578333,14.417984,42014400
2001-05-25,15.265000,15.491667,15.000000,15.283334,14.144956,23698800
2001-05-29,15.196667,15.200000,14.450000,14.656667,13.564968,23014200
2001-05-30,14.311666,15.038333,14.233334,14.383333,13.311996,82722600
2001-05-31,14.498333,14.583333,13.960000,14.268333,13.205561,31573200
2001-06-01,14.366667,15.180000,14.283334,15.058333,13.936717,25561800
2001-06-04,15.068334,15.148334,14.626667,14.825000,13.720761,15538800
2001-06-05,14.808333,15.758333,14.783334,15.603333,14.441122,24679200
2001-06-06,15.661667,15.875000,15.433333,15.670000,14.502824,17474400
2001-06-07,15.531667,16.600000,15.416667,16.555000,15.321903,28528800
2001-06-08,16.504999,16.530001,15.953333,16.125000,14.923932,17817000
2001-06-11,16.148333,16.166666,15.403334,15.653334,14.487400,14548200
2001-06-12,15.325000,16.408333,15.291667,16.174999,14.970208,27568200
2001-06-13,16.293333,16.540001,15.491667,15.631667,14.467347,23467800
2001-06-14,15.430000,15.865000,15.208333,15.598333,14.436495,23653800
2001-06-15,15.416667,16.116667,15.130000,15.841666,14.661702,27363600
2001-06-18,15.801666,16.058332,15.041667,15.215000,14.081714,21416400
2001-06-19,15.501667,15.863334,14.075000,14.383333,13.311996,37828200
2001-06-20,14.118333,15.166667,13.825000,15.001667,13.884270,43980000
2001-06-21,14.941667,15.550000,14.541667,15.285000,14.146498,37114200
2001-06-22,15.208333,15.615000,15.016666,15.216666,14.083254,19029600
2001-06-25,15.386666,15.450000,14.743333,15.186666,14.055489,16000800
2001-06-26,14.850000,15.700000,14.791667,15.625000,14.461173,18948000
2001-06-27,15.550000,15.583333,14.876667,15.141666,14.013843,22393800
2001-06-28,15.345000,15.541667,15.166667,15.320000,14.178894,22733400
2001-06-29,15.375000,15.700000,15.201667,15.458333,14.306922,18273000
2001-07-02,14.846666,14.971666,14.550000,14.773334,13.672941,26000400
2001-07-03,14.671667,15.116667,14.596666,14.961667,13.847250,10157400
2001-07-05,14.783334,14.875000,13.858334,13.876667,12.843067,25502400
2001-07-06,13.668333,13.775000,13.183333,13.450000,12.448180,20070600
2001-07-09,13.275000,13.596666,12.883333,13.010000,12.040955,25351800
2001-07-10,13.183333,13.358334,12.958333,13.116667,12.139672,30543600
2001-07-11,13.066667,13.301666,12.686666,13.091666,12.116535,22615800
2001-07-12,13.708333,13.875000,13.375000,13.778334,12.752058,24538800
2001-07-13,13.676666,13.826667,13.208333,13.493333,12.488284,17253600
2001-07-16,13.341666,13.500000,12.341666,12.408334,11.484100,29792400
2001-07-17,12.200000,13.223333,12.083333,13.101666,12.125792,29247600
2001-07-18,12.790000,13.143333,12.380000,12.648334,11.706226,21024600
2001-07-19,12.831667,13.386666,12.635000,12.851666,11.894415,21000600
2001-07-20,12.531667,12.816667,12.083333,12.481667,11.551970,18561600
2001-07-23,12.500000,12.516666,11.285000,11.300000,10.458320,38699400
2001-07-24,11.451667,12.075000,11.210000,12.065000,11.166340,34132800
2001-07-25,12.043333,12.066667,11.546667,11.948334,11.058365,31147200
2001-07-26,11.835000,13.250000,11.775000,13.166667,12.185952,42853800
2001-07-27,13.141666,13.645000,12.750000,13.500000,12.494454,27367200
2001-07-30,13.516666,13.571667,13.033334,13.178333,12.196746,14557200
2001-07-31,13.196667,13.541667,12.716666,13.483334,12.479029,29694000
2001-08-01,13.748333,14.376667,13.653334,14.306666,13.241036,30123600
2001-08-02,14.488334,14.698334,13.998333,14.646667,13.555715,27448200
2001-08-03,14.500000,14.756667,14.226666,14.531667,13.449279,20508600
2001-08-06,14.428333,15.120000,14.273334,14.971666,13.856503,32314200
2001-08-07,14.968333,15.041667,14.575000,14.750000,13.651348,27215400
2001-08-08,14.621667,15.000000,14.310000,14.375000,13.304278,28142400
2001-08-09,14.308333,14.590000,13.866667,14.123333,13.071360,41090400
2001-08-10,14.116667,14.300000,13.683333,14.106667,13.055935,25912200
2001-08-13,14.348333,14.858334,14.135000,14.698334,13.603531,37869600
2001-08-14,14.431666,14.525000,14.126667,14.308333,13.242579,58029000
2001-08-15,14.631667,14.803333,14.198334,14.325000,13.258005,45409800
2001-08-16,14.061666,14.950000,14.005000,14.928333,13.816398,25652400
2001-08-17,14.550000,14.740000,13.843333,13.961667,12.921734,41721000
2001-08-20,13.873333,14.015000,13.440000,13.865000,12.832266,29583000
2001-08-21,13.900000,14.266666,13.551666,13.573334,12.562328,29666400
2001-08-22,13.813334,14.146667,13.375000,14.131667,13.079075,37452600
2001-08-23,14.083333,14.265000,13.750000,13.818334,12.789079,25339800
2001-08-24,13.966666,14.498333,13.885000,14.213333,13.154656,27773400
2001-08-27,13.895000,14.893333,13.841666,14.705000,13.609700,31990200
2001-08-28,14.665000,14.991667,14.400000,14.513333,13.432309,29469000
2001-08-29,14.553333,14.645000,13.925000,14.046667,13.000402,35895000
2001-08-30,13.783334,14.100000,13.458333,14.001667,12.958755,35782800
2001-08-31,13.908334,14.246667,13.725000,14.118333,13.066731,22197600
2001-09-04,14.080000,14.080000,13.038333,13.136666,12.158184,46403400
2001-09-05,13.125000,13.516666,12.591666,13.416667,12.417330,59889600
2001-09-06,13.151667,13.566667,12.808333,12.868333,11.909836,48769200
2001-09-07,12.666667,13.200000,12.600000,13.003333,12.034780,49256400
2001-09-10,12.893333,13.091666,12.365000,12.626667,11.686171,46809000
2001-09-17,11.840000,12.130000,11.273334,11.330000,10.486089,28464900
2001-09-18,11.550000,11.633333,10.390000,10.646667,9.853652,22359300
2001-09-19,10.706667,10.830000,9.020000,10.516666,9.733335,39047700
2001-09-20,9.953333,10.316667,9.333333,9.626667,8.909625,36767400
2001-09-21,8.883333,9.426666,8.670000,8.990000,8.320382,30657600
2001-09-24,9.703333,10.146667,9.273334,10.000000,9.255151,37687500
2001-09-25,10.030000,10.463333,9.580000,9.610000,8.894202,23543100
2001-09-26,9.733334,9.766666,9.166667,9.263333,8.573357,10770300
2001-09-27,9.230000,9.333333,8.503333,8.750000,8.098257,22682400
2001-09-28,9.000000,9.603333,8.616667,9.156667,8.474634,26121900
2001-10-01,9.150000,9.300000,8.233334,8.380000,7.755816,24320100
2001-10-02,8.366667,8.700000,7.553333,7.960000,7.367101,28075800
2001-10-03,7.920000,10.030000,7.920000,9.526667,8.817075,44970600
2001-10-04,10.033334,11.266666,9.686666,10.763333,9.961626,49514400
2001-10-05,10.600000,11.230000,10.196667,10.966666,10.149814,26955300
2001-10-08,10.533334,11.630000,10.533334,11.213333,10.378112,19147500
2001-10-09,11.243333,11.466666,10.406667,10.726666,9.927691,22938900
2001-10-10,10.536667,11.500000,10.466666,11.416667,10.566298,24203100
2001-10-11,12.026667,12.686666,11.963333,12.653334,11.710854,22950000
2001-10-12,12.333333,13.500000,12.290000,13.476666,12.472858,31327500
2001-10-15,13.083333,13.833333,12.716666,13.416667,12.417330,22714200
2001-10-16,13.400000,14.873333,13.123333,14.766666,13.666773,34596300
2001-10-17,15.093333,15.100000,13.833333,13.900000,12.864659,42388500
2001-10-18,13.900000,14.623333,13.866667,14.486667,13.407632,25521600
2001-10-19,14.280000,15.000000,14.100000,14.786667,13.685285,26481600
2001-10-22,14.676666,15.333333,14.350000,15.136666,14.009214,24270600
2001-10-23,15.330000,15.603333,14.533334,14.870000,13.762410,23825700
2001-10-24,14.600000,15.563334,14.433333,15.526667,14.370166,30303600
2001-10-25,15.166667,16.713333,14.933333,16.436666,15.212382,28809900
2001-10-26,16.323334,16.813334,15.166667,15.263333,14.126447,27428100
2001-10-29,15.316667,15.583333,14.006667,14.023334,12.978809,25119900
2001-10-30,13.766666,14.646667,13.450000,14.000000,12.957211,28834500
2001-10-31,14.523334,14.916667,14.083333,14.286667,13.222528,24732300
2001-11-01,14.470000,15.623333,14.250000,15.506667,14.351655,27344400
2001-11-02,15.436666,15.913333,14.866667,15.723333,14.552183,27181200
2001-11-05,15.996667,16.433332,15.680000,15.780000,14.604630,23336400
2001-11-06,15.750000,16.936666,15.666667,16.863333,15.607271,35384400
2001-11-07,16.733334,17.526667,16.636667,16.876667,15.619611,35478600
2001-11-08,17.086666,17.313334,16.083334,16.583334,15.348127,47879700
2001-11-09,17.316668,17.746666,16.996666,17.733334,16.412470,56762100
2001-11-12,17.666666,18.663334,17.126667,18.209999,16.853632,36465900
2001-11-13,18.266666,18.270000,17.799999,18.059999,16.714800,36162900
2001-11-14,18.193333,18.366667,17.066668,17.556667,16.248960,28755600
2001-11-15,17.356667,17.889999,17.136667,17.650000,16.335339,21873600
2001-11-16,17.666666,17.853333,17.260000,17.496666,16.193436,12403200
2001-11-19,17.670000,17.833334,16.166666,17.113333,15.838648,48576300
2001-11-20,17.196667,17.496666,16.443333,16.633333,15.394403,23447100
2001-11-21,16.353333,16.856667,15.933333,16.420000,15.196957,18210300
2001-11-23,16.483334,16.666666,16.200001,16.650000,15.409825,6350400
2001-11-26,16.930000,17.863333,16.883333,17.840000,16.511189,30394500
2001-11-27,17.830000,18.433332,17.500000,18.030001,16.687037,29599800
2001-11-28,17.799999,18.096666,17.080000,17.120001,15.844821,18521100
2001-11-29,18.363333,18.456667,17.799999,17.870001,16.538958,128386800
2001-11-30,17.863333,18.343334,17.600000,18.213333,16.856716,25850700
2001-12-03,17.830000,18.053333,17.616667,17.936666,16.600655,21287400
2001-12-04,18.026667,19.400000,18.026667,19.379999,17.936481,34616100
2001-12-05,19.533333,20.983334,19.516666,20.943333,19.383369,42675900
2001-12-06,20.780001,20.833334,20.090000,20.613333,19.077955,28473600
2001-12-07,20.459999,20.646667,19.626667,19.983334,18.494877,20175900
2001-12-10,19.883333,20.639999,19.716667,20.183332,18.679981,17396700
2001-12-11,20.536667,21.383333,20.333334,20.906666,19.349432,19806300
2001-12-12,21.066668,21.566668,20.660000,21.556667,19.951023,25115700
2001-12-13,21.133333,21.403334,20.853333,20.936666,19.377203,22035000
2001-12-14,20.933332,21.983334,20.836666,21.879999,20.250271,18867000
2001-12-17,21.713333,22.983334,21.713333,22.666666,20.978340,27024000
2001-12-18,22.170000,22.483334,21.896667,22.083334,20.438459,22174200
2001-12-19,21.719999,22.163334,21.396667,21.480000,19.880068,21366300
2001-12-20,21.566668,21.956667,20.556667,20.633333,19.096462,23780700
2001-12-21,21.083334,21.666666,20.840000,21.526667,19.923252,18099300
2001-12-24,21.516666,22.173334,21.506666,22.063334,20.419950,6632700
2001-12-26,22.173334,22.980000,22.170000,22.603333,20.919725,16053900
2001-12-27,22.799999,23.230000,22.766666,23.126667,21.404083,18253800
2001-12-28,23.263334,23.416666,22.346666,22.570000,20.888874,18942000
2001-12-31,22.736666,22.866667,22.250000,22.299999,20.638985,18439500
2002-01-02,22.396667,22.816668,21.833334,22.433332,20.762388,32472600
2002-01-03,22.480000,24.000000,22.466667,23.903334,22.122898,35368800
2002-01-04,24.219999,24.219999,22.799999,23.206667,21.478121,23407200
2002-01-07,23.299999,23.333334,22.270000,22.583334,20.901218,24326700
2002-01-08,22.536667,23.393333,22.459999,22.850000,21.148024,19359000
2002-01-09,23.166666,23.583334,22.216667,22.536667,20.858028,28529700
2002-01-10,22.416666,22.723333,21.799999,21.996666,20.358252,24812700
2002-01-11,22.143333,22.150000,20.936666,21.023333,19.457413,34521300
2002-01-14,20.976667,21.123333,19.920000,19.920000,18.436260,34239000
2002-01-15,20.750000,21.793333,20.726667,21.780001,20.157722,45970200
2002-01-16,21.483334,21.623333,20.850000,20.930000,19.371033,27884700
2002-01-17,21.623333,21.666666,20.840000,21.663334,20.049744,28038600
2002-01-18,20.846666,21.416666,20.833334,21.266666,19.682619,20091900
2002-01-22,21.466667,21.523333,20.493334,20.733334,19.189013,27125700
2002-01-23,20.920000,21.273333,20.506666,21.123333,19.549963,22229100
2002-01-24,21.333334,22.100000,20.883333,21.879999,20.250271,28442100
2002-01-25,21.566668,22.366667,21.299999,21.823334,20.197832,20443800
2002-01-28,22.250000,22.666666,22.030001,22.663334,20.975264,23107200
2002-01-29,22.716667,22.783333,21.200001,21.553333,19.947937,34548300
2002-01-30,21.666666,21.830000,21.150000,21.813334,20.188572,30461400
2002-01-31,22.096666,22.266666,21.183332,21.913334,20.281124,24349500
2002-02-01,21.876667,22.110001,21.250000,21.376667,19.784428,17206800
2002-02-04,21.330000,21.850000,20.336666,20.370001,18.852745,27621600
2002-02-05,20.233334,20.410000,19.376667,20.170000,18.667641,36865500
2002-02-06,20.703333,21.030001,20.299999,20.673334,19.133480,31063200
2002-02-07,20.700001,20.700001,19.906666,20.003334,18.513390,24111900
2002-02-08,20.136667,20.250000,18.476667,19.240000,17.806911,46782300
2002-02-11,19.209999,20.333334,19.139999,20.303333,18.791044,31230600
2002-02-12,19.996666,21.116667,19.766666,20.733334,19.189013,30412500
2002-02-13,21.000000,21.353333,20.266666,20.466667,18.942211,30760800
2002-02-14,20.639999,21.150000,20.379999,20.719999,19.176670,30642300
2002-02-15,19.766666,19.883333,18.916666,19.116667,17.692762,99713700
2002-02-19,18.299999,18.490000,17.703333,17.850000,16.520443,49313100
2002-02-20,17.533333,18.983334,17.500000,18.783333,17.384262,45968400
2002-02-21,18.526667,18.533333,17.476667,17.500000,16.196514,38276100
2002-02-22,17.150000,17.350000,16.416666,16.639999,15.400569,64640400
2002-02-25,16.716667,18.073334,16.713333,17.943333,16.606827,39989100
2002-02-26,18.336666,18.650000,17.850000,18.333334,16.967775,47566800
2002-02-27,18.750000,18.830000,17.666666,17.716667,16.397041,43080600
2002-02-28,17.600000,17.916666,16.853333,17.003334,15.736845,39636000
2002-03-01,17.166666,18.666666,17.116667,18.646667,17.257771,32784900
2002-03-04,18.703333,19.900000,18.523333,19.686666,18.220312,37118100
2002-03-05,19.383333,20.163334,19.366667,19.636667,18.174030,34486200
2002-03-06,19.049999,19.243334,18.610001,19.020000,17.603296,36151500
2002-03-07,19.290001,19.353333,18.340000,18.866667,17.461386,33663300
2002-03-08,19.226667,19.830000,19.133333,19.430000,17.982759,31758900
2002-03-11,19.216667,19.430000,18.883333,19.203333,17.772972,20263500
2002-03-12,18.616667,18.716667,18.066668,18.196667,16.841291,31375800
2002-03-13,18.026667,18.156666,17.799999,17.866667,16.535868,25790400
2002-03-14,17.733334,17.733334,16.840000,16.876667,15.619611,28486500
2002-03-15,16.996666,17.610001,16.673334,17.590000,16.279812,31207200
2002-03-18,17.910000,18.296667,17.389999,17.590000,16.279812,30924900
2002-03-19,17.716667,17.750000,17.113333,17.216667,15.934286,21151800
2002-03-20,16.933332,16.966667,15.450000,15.506667,14.351655,57314700
2002-03-21,15.770000,16.516666,15.353333,16.330000,15.113661,43042800
2002-03-22,16.623333,16.623333,16.066668,16.190001,14.984091,31228500
2002-03-25,16.113333,16.133333,15.333333,15.353333,14.209741,22104000
2002-03-26,15.193334,16.056667,15.106667,15.666667,14.499737,28087800
2002-03-27,15.426666,15.740000,14.900000,15.166667,14.036982,26700300
2002-03-28,15.270000,15.366667,13.956667,14.786667,13.685285,78102000
2002-04-01,13.966666,14.656667,13.520000,14.543333,13.460077,59133600
2002-04-02,14.106667,14.896667,14.080000,14.163333,13.108379,35950200
2002-04-03,14.226666,14.613334,13.933333,14.430000,13.355184,27366000
2002-04-04,14.320000,14.850000,14.123333,14.360000,13.290398,28274100
2002-04-05,14.453333,14.686666,13.886666,14.033334,12.988063,25672500
2002-04-08,13.383333,14.503333,13.380000,14.503333,13.423056,28782900
2002-04-09,14.646667,14.766666,13.553333,13.586667,12.574666,34519200
2002-04-10,13.696667,13.800000,11.866667,12.836667,11.880532,92243100
2002-04-11,12.733334,12.896667,12.133333,12.273334,11.359158,35932200
2002-04-12,12.546667,12.646667,11.843333,12.226666,11.315964,34422000
2002-04-15,12.463333,12.930000,12.433333,12.720000,11.772552,28930200
2002-04-16,13.290000,13.426666,13.013333,13.273334,12.284669,21371400
2002-04-17,13.430000,13.626667,13.010000,13.430000,12.429671,23612100
2002-04-18,13.293333,13.436666,12.916667,13.206667,12.222973,17328900
2002-04-19,12.760000,12.916667,12.290000,12.306666,11.390006,28141800
2002-04-22,12.170000,12.616667,12.166667,12.366667,11.445538,20204400
2002-04-23,12.463333,12.606667,11.756667,11.866667,10.982780,19337700
2002-04-24,12.003333,12.180000,10.796667,10.826667,10.020245,39573900
2002-04-25,10.783334,11.463333,10.780000,11.246667,10.408962,29207400
2002-04-26,11.370000,11.383333,10.123333,10.123333,9.369297,29778000
2002-04-29,11.320000,11.980000,10.940000,11.810000,10.930335,98271300
2002-04-30,12.090000,12.250000,11.350000,11.603333,10.739060,44412600
2002-05-01,11.413333,11.976666,11.116667,11.813334,10.933418,42972600
2002-05-02,11.870000,12.163333,11.333333,11.336667,10.492259,28127100
2002-05-03,11.350000,11.436666,10.860000,10.916667,10.103540,21318900
2002-05-06,10.633333,11.133333,10.413333,10.500000,9.717910,27551100
2002-05-07,10.733334,10.956667,10.236667,10.763333,9.961626,35311200
2002-05-08,11.496667,12.186666,11.133333,12.000000,11.106183,42217200
2002-05-09,11.963333,12.210000,11.466666,11.486667,10.631083,30771000
2002-05-10,11.723333,11.766666,10.500000,10.626667,9.835141,33038700
2002-05-13,10.736667,11.306666,10.646667,11.270000,10.430556,20022300
2002-05-14,11.990000,12.516666,11.783334,12.390000,11.467134,38152800
2002-05-15,12.200000,12.866667,12.030000,12.633333,11.692340,37613700
2002-05-16,12.636666,12.916667,12.380000,12.656667,11.713936,24639000
2002-05-17,13.000000,13.093333,12.676666,13.056666,12.084144,23360100
2002-05-20,12.946667,13.283334,12.886666,13.196667,12.213715,23835300
2002-05-21,13.366667,13.550000,12.176666,12.190000,11.282030,34565100
2002-05-22,12.286667,12.756667,12.266666,12.683333,11.738618,38699700
2002-05-23,12.720000,12.746667,11.533334,11.910000,11.022884,63919500
2002-05-24,11.683333,11.743333,11.406667,11.676666,10.806932,18444600
2002-05-28,11.780000,11.786667,10.980000,11.213333,10.378112,34177200
2002-05-29,11.033334,11.683333,10.863334,11.636666,10.769912,32775300
2002-05-30,11.400000,11.743333,11.176666,11.466666,10.612573,26652000
2002-05-31,11.533334,11.583333,11.133333,11.153334,10.322577,16852800
2002-06-03,10.883333,10.933333,10.363334,10.496667,9.714825,22531200
2002-06-04,10.430000,11.083333,10.413333,11.026667,10.205348,27385800
2002-06-05,11.050000,11.053333,10.483334,10.866667,10.057265,27857700
2002-06-06,10.753333,11.016666,10.750000,10.870000,10.060352,18483900
2002-06-07,9.986667,10.900000,9.983334,10.766666,9.964713,34282500
2002-06-10,10.910000,11.213333,10.650000,10.676666,9.881415,18728700
2002-06-11,10.853333,10.900000,10.170000,10.196667,9.437170,21482700
2002-06-12,9.953333,10.133333,8.890000,9.316667,8.622714,56688600
2002-06-13,9.386666,9.560000,8.926666,9.220000,8.533250,31647300
2002-06-14,8.880000,9.463333,8.580000,9.393333,8.693673,27911100
2002-06-17,9.603333,9.726666,9.313334,9.476666,8.770797,26353500
2002-06-18,9.360000,9.700000,9.250000,9.426666,8.724523,25207500
2002-06-19,8.966666,8.966666,7.880000,7.950000,7.357846,64840500
2002-06-20,7.966667,8.183333,7.773334,7.876667,7.289974,35626200
2002-06-21,7.836667,8.140000,7.393333,7.553333,6.990725,37109100
2002-06-24,7.360000,7.930000,7.133333,7.693333,7.120296,34489800
2002-06-25,7.833333,7.833333,7.010000,7.056667,6.531053,29305800
2002-06-26,6.256667,6.926667,6.083333,6.690000,6.191697,51695700
2002-06-27,6.936666,6.990000,5.600000,5.693333,5.269266,79570200
2002-06-28,5.600000,5.963333,5.476666,5.726666,5.300117,49779600
2002-07-01,5.700000,5.866667,5.593333,5.713333,5.287776,29109300
2002-07-02,5.646667,5.666667,5.206666,5.353333,4.954590,34204500
2002-07-03,5.320000,5.826667,5.316667,5.816667,5.383414,26832600
2002-07-05,6.233333,6.333333,6.053333,6.330000,5.858512,18488100
2002-07-08,6.256667,6.746666,6.250000,6.520000,6.034359,39679500
2002-07-09,6.536667,6.620000,6.060000,6.200000,5.738194,26877000
2002-07-10,6.350000,6.400000,5.986667,6.030000,5.580856,23174700
2002-07-11,5.996666,6.666667,5.943333,6.643333,6.148506,28598700
2002-07-12,7.000000,7.026667,6.500000,6.636667,6.142334,33622500
2002-07-15,6.653333,7.300000,6.353333,7.296667,6.753175,37381800
2002-07-16,7.116667,7.783333,6.983333,7.100000,6.571157,44335800
2002-07-17,6.946667,7.083333,6.220000,6.496666,6.012763,48059100
2002-07-18,6.390000,6.766667,6.313334,6.330000,5.858512,31079700
2002-07-19,6.136667,6.380000,6.000000,6.043334,5.593197,21144300
2002-07-22,6.016667,6.186666,5.516667,5.763333,5.334052,32268600
2002-07-23,5.796667,5.833333,5.136667,5.333333,4.936082,35241300
2002-07-24,5.260000,5.760000,5.256667,5.673333,5.250755,29377500
2002-07-25,5.453333,5.470000,4.836667,5.020000,4.646086,44911200
2002-07-26,5.166667,5.286667,4.766667,4.903333,4.538109,30547500
2002-07-29,5.106667,5.133333,4.876667,5.040000,4.664597,30693000
2002-07-30,5.016667,5.660000,5.000000,5.406667,5.003953,45450300
2002-07-31,3.940000,4.020000,3.646667,3.690000,3.415151,120928500
2002-08-01,3.720000,3.720000,3.333333,3.336667,3.088135,43142700
2002-08-02,3.443333,3.466667,3.033333,3.116667,2.884522,44881500
2002-08-05,3.070000,3.076667,2.830000,2.866667,2.653143,33267900
2002-08-06,3.000000,3.130000,2.953333,3.016667,2.791971,29220000
2002-08-07,3.150000,3.180000,2.833333,2.946667,2.727185,22324500
2002-08-08,2.976667,3.193333,2.900000,3.140000,2.906118,18885600
2002-08-09,3.056667,3.166667,3.003333,3.066667,2.838246,14532600
2002-08-12,3.033333,3.183333,2.953333,3.066667,2.838246,14820000
2002-08-13,3.086667,3.236667,3.000000,3.003333,2.779630,16360500
2002-08-14,3.060000,3.233333,3.033333,3.206667,2.967819,15817200
2002-08-15,3.326667,3.496667,3.293333,3.430000,3.174517,28503000
2002-08-16,3.246667,3.683333,3.146667,3.563333,3.297919,41435700
2002-08-19,3.716667,4.483333,3.710000,4.216667,3.902589,56098200
2002-08-20,4.250000,4.333333,3.976667,4.030000,3.729826,35737200
2002-08-21,4.213333,4.296667,4.016667,4.243333,3.927269,29871900
2002-08-22,4.116667,4.283333,4.073333,4.100000,3.794612,33962400
2002-08-23,3.983333,4.010000,3.806667,3.830000,3.544724,22998300
2002-08-26,3.903333,3.930000,3.680000,3.860000,3.572488,17464200
2002-08-27,3.926667,3.946667,3.616667,3.640000,3.368876,17167800
2002-08-28,3.620000,3.626667,3.400000,3.413333,3.159091,17508900
2002-08-29,3.370000,3.613333,3.343333,3.456667,3.199198,20388000
2002-08-30,3.423333,3.566667,3.300000,3.366667,3.115901,26647200
2002-09-03,3.206667,3.223333,3.106667,3.160000,2.924628,21182100
2002-09-04,3.170000,3.253333,3.003333,3.140000,2.906118,23263800
2002-09-05,3.110000,3.123333,3.000000,3.020000,2.795055,17857800
2002-09-06,3.146667,3.173333,3.040000,3.086667,2.856757,18661500
2002-09-09,3.063333,3.180000,2.970000,3.083333,2.853672,14451000
2002-09-10,3.066667,3.683333,3.063333,3.523333,3.260899,57940800
2002-09-11,3.633333,3.966667,3.633333,3.696667,3.421321,41438400
2002-09-12,3.606667,3.803333,3.540000,3.580000,3.313344,32373300
2002-09-13,3.543333,3.713333,3.500000,3.523333,3.260899,19921800
2002-09-16,3.470000,3.483333,3.216667,3.300000,3.054200,23136600
2002-09-17,3.446667,3.530000,3.230000,3.250000,3.007924,22101300
2002-09-18,3.200000,3.263333,3.063333,3.160000,2.924628,20292300
2002-09-19,3.090000,3.200000,3.036667,3.053333,2.825907,15462300
2002-09-20,3.076667,3.140000,3.003333,3.070000,2.841331,17182800
2002-09-23,3.020000,3.050000,2.916667,2.936667,2.717930,13041900
2002-09-24,2.903333,3.100000,2.850000,2.960000,2.739525,15611100
2002-09-25,3.133333,3.183333,3.010000,3.123333,2.890692,22415400
2002-09-26,3.183333,3.216667,2.910000,2.956667,2.736439,18489000
2002-09-27,2.950000,3.026667,2.850000,2.853333,2.640803,16267200
2002-09-30,2.843333,2.976667,2.783333,2.853333,2.640803,14603100
2002-10-01,2.876667,3.033333,2.773333,3.006667,2.782716,22209000
2002-10-02,3.030000,3.183333,3.003333,3.003333,2.779630,18727500
2002-10-03,2.966667,3.016667,2.850000,2.856667,2.643888,14764200
2002-10-04,2.850000,2.940000,2.666667,2.713333,2.511231,13244700
2002-10-07,2.676667,2.730000,2.560000,2.580000,2.387829,12326700
2002-10-08,2.666667,2.673333,2.400000,2.503333,2.316873,17856300
2002-10-09,2.466667,2.626667,2.413333,2.456667,2.273682,14328300
2002-10-10,2.433333,2.663333,2.433333,2.583333,2.390915,13450800
2002-10-11,2.683333,2.983333,2.666667,2.936667,2.717930,24853500
2002-10-14,2.850000,2.936667,2.790000,2.850000,2.637718,15287100
2002-10-15,3.166667,3.280000,3.103333,3.146667,2.912287,21319200
2002-10-16,2.933333,2.960000,2.833333,2.883333,2.668568,14453100
2002-10-17,3.133333,3.250000,3.056667,3.103333,2.872182,14644800
2002-10-18,3.086667,3.166667,2.970000,3.133333,2.899947,12459300
2002-10-21,3.090000,3.530000,3.020000,3.416667,3.162177,23265600
2002-10-22,3.260000,3.733333,3.256667,3.530000,3.267068,31804200
2002-10-23,3.583333,3.723333,3.533333,3.673333,3.399726,23135700
2002-10-24,3.746667,3.786667,3.433333,3.486667,3.226963,26379300
2002-10-25,3.500000,3.716667,3.453333,3.700000,3.424406,18648900
2002-10-28,3.870000,3.900000,3.696667,3.720000,3.442916,26763600
2002-10-29,3.726667,3.753333,3.370000,3.556667,3.291749,19318200
2002-10-30,3.670000,3.866667,3.656667,3.746667,3.467597,28487400
2002-10-31,3.773333,3.993333,3.763333,3.966667,3.671210,31386900
2002-11-01,3.906667,4.756667,3.900000,4.700000,4.349922,53220900
2002-11-04,4.983333,5.503334,4.970000,5.213333,4.825018,67203300
2002-11-05,5.200000,5.286667,4.783333,5.006667,4.633745,50863500
2002-11-06,5.176667,5.400000,4.973333,5.393333,4.991611,41150400
2002-11-07,5.253334,5.253334,4.820000,4.850000,4.488749,41514000
2002-11-08,4.100000,4.343333,3.670000,3.786667,3.504618,94972500
2002-11-11,3.606667,3.660000,3.406667,3.493333,3.233133,34461300
2002-11-12,3.576667,3.933333,3.546667,3.803333,3.520042,34529700
2002-11-13,3.713333,4.033333,3.640000,3.923333,3.631104,45052800
2002-11-14,4.183333,4.263333,4.056667,4.183333,3.871738,28468200
2002-11-15,4.400000,4.636667,4.350000,4.490000,4.155563,51358200
2002-11-18,4.850000,4.866667,4.643333,4.656667,4.309816,49561800
2002-11-19,4.630000,4.960000,4.580000,4.723333,4.371515,49298700
2002-11-20,4.866667,5.000000,4.803333,4.960000,4.590555,32319900
2002-11-21,5.160000,5.626667,5.150000,5.380000,4.979271,51348000
2002-11-22,5.053333,5.346667,5.000000,5.240000,4.849699,31297500
2002-11-25,5.483333,5.563334,5.270000,5.430000,5.025548,30752100
2002-11-26,5.456666,5.563334,5.266667,5.283333,4.889805,27108300
2002-11-27,5.506667,5.786667,5.436666,5.693333,5.269266,27213900
2002-11-29,5.843333,5.926667,5.666667,5.710000,5.284691,12984900
2002-12-02,6.013333,6.090000,5.640000,5.666667,5.244585,29187600
2002-12-03,5.560000,5.573333,5.283333,5.293334,4.899061,26155500
2002-12-04,4.920000,5.000000,4.643333,4.660000,4.312899,55163700
2002-12-05,4.960000,4.993333,4.590000,4.703333,4.353006,39871800
2002-12-06,4.500000,4.800000,4.426667,4.710000,4.359177,28980600
2002-12-09,4.556667,4.630000,4.296667,4.333333,4.010565,24244800
2002-12-10,4.443333,4.783333,4.386667,4.696667,4.346837,34747200
2002-12-11,4.663333,4.800000,4.506667,4.670000,4.322156,34105200
2002-12-12,4.843333,4.900000,4.583333,4.593333,4.251200,32563800
2002-12-13,4.510000,4.510000,4.380000,4.413333,4.084607,17693100
2002-12-16,4.566667,4.700000,4.450000,4.673333,4.325241,26424300
2002-12-17,4.756667,4.916667,4.630000,4.666667,4.319069,26943600
2002-12-18,4.520000,4.526667,4.300000,4.310000,3.988971,28170900
2002-12-19,4.233333,4.456666,4.173333,4.216667,3.902589,27515100
2002-12-20,4.350000,4.396667,4.063334,4.273334,3.955034,20114400
2002-12-23,4.263333,4.406667,4.250000,4.303333,3.982800,12466200
2002-12-24,4.326667,4.413333,4.193333,4.216667,3.902589,7508400
2002-12-26,4.286667,4.350000,4.103333,4.140000,3.831633,17994000
2002-12-27,4.253334,4.263333,3.946667,3.983333,3.686635,17563200
2002-12-30,4.000000,4.043334,3.753333,3.843333,3.557063,19618500
2002-12-31,3.803333,3.933333,3.730000,3.836667,3.550893,20634900
2003-01-02,4.000000,4.150000,3.863333,4.103333,3.797697,32563500
2003-01-03,4.116667,4.250000,4.033333,4.103333,3.797697,25937400
2003-01-06,4.203333,4.503334,4.200000,4.436666,4.106203,25835700
2003-01-07,4.523334,4.626667,4.373333,4.423333,4.093863,37456800
2003-01-08,4.310000,4.436666,3.953333,3.983333,3.686635,46313100
2003-01-09,4.106667,4.150000,4.013333,4.053333,3.751420,35901900
2003-01-10,4.000000,4.183333,3.946667,4.123333,3.816208,23112300
2003-01-13,4.280000,4.316667,4.070000,4.090000,3.785357,21228000
2003-01-14,4.103333,4.160000,3.996667,4.120000,3.813123,21713100
2003-01-15,4.123333,4.156667,3.993333,3.993333,3.695891,22614600
2003-01-16,3.933333,3.983333,3.670000,3.723333,3.446002,50999400
2003-01-17,3.623333,3.673333,3.536667,3.583333,3.316429,26470800
2003-01-21,3.650000,3.726667,3.483333,3.493333,3.233133,24183900
2003-01-22,3.483333,3.586667,3.473333,3.496667,3.236218,13774800
2003-01-23,3.590000,3.650000,3.496667,3.593333,3.325685,22961400
2003-01-24,3.563333,3.580000,3.330000,3.390000,3.137496,22427700
2003-01-27,3.316667,3.490000,3.256667,3.340000,3.091220,22227900
2003-01-28,3.296667,3.523333,3.186667,3.460000,3.202282,44637000
2003-01-29,3.366667,3.556667,3.366667,3.530000,3.267068,25551000
2003-01-30,3.600000,3.630000,3.350000,3.386667,3.134412,18576600
2003-01-31,3.286667,3.533333,3.256667,3.440000,3.183773,23741400
2003-02-03,3.503333,3.573333,3.433333,3.506667,3.245473,18888900
2003-02-04,3.483333,3.500000,3.300000,3.350000,3.100476,15693000
2003-02-05,3.423333,3.516667,3.366667,3.380000,3.128241,14537700
2003-02-06,3.613333,3.620000,3.350000,3.406667,3.152921,30654600
2003-02-07,3.473333,3.490000,3.246667,3.253333,3.011009,22878900
2003-02-10,3.250000,3.316667,3.110000,3.293333,3.048030,24565800
2003-02-11,3.320000,3.416667,3.216667,3.233333,2.992499,21267900
2003-02-12,3.233333,3.370000,3.206667,3.250000,3.007924,16035000
2003-02-13,3.306667,3.323333,3.216667,3.290000,3.044945,22229100
2003-02-14,3.740000,4.016667,3.650000,4.013333,3.714401,88721100
2003-02-18,4.166667,4.323333,4.116667,4.243333,3.927269,43512900
2003-02-19,4.216667,4.310000,4.170000,4.283333,3.964290,28530300
2003-02-20,4.300000,4.413333,4.266667,4.283333,3.964290,24453300
2003-02-21,4.280000,4.296667,4.133333,4.286667,3.967376,22831500
2003-02-24,4.250000,4.496666,4.226666,4.340000,4.016736,28425300
2003-02-25,4.200000,4.333333,4.133333,4.313334,3.992056,30980100
2003-02-26,4.256667,4.326667,4.093333,4.103333,3.797697,18672300
2003-02-27,4.143333,4.210000,4.076667,4.190000,3.877908,16882800
2003-02-28,4.060000,4.216667,3.940000,4.206666,3.893335,41333400
2003-03-03,4.256667,4.333333,4.083333,4.136667,3.828548,17550900
2003-03-04,4.150000,4.190000,4.063334,4.103333,3.797697,13459800
2003-03-05,4.063334,4.193333,4.053333,4.170000,3.859399,13053900
2003-03-06,4.136667,4.176667,4.083333,4.100000,3.794612,13701600
2003-03-07,4.036667,4.176667,4.000000,4.163333,3.853228,14528700
2003-03-10,4.120000,4.140000,4.040000,4.046667,3.745251,8619900
2003-03-11,4.076667,4.143333,4.030000,4.076667,3.773017,10428600
2003-03-12,4.110000,4.200000,4.073333,4.190000,3.877908,12348000
2003-03-13,4.313334,4.633333,4.293334,4.606667,4.263539,34068300
2003-03-14,4.623333,4.666667,4.440000,4.473333,4.140139,27355500
2003-03-17,4.400000,4.823333,4.390000,4.733333,4.380772,32695200
2003-03-18,4.716667,4.770000,4.600000,4.696667,4.346837,23307000
2003-03-19,4.706666,4.753334,4.553333,4.720000,4.368432,17824800
2003-03-20,4.720000,4.863333,4.596667,4.763333,4.408537,19501500
2003-03-21,4.926667,4.943333,4.506667,4.720000,4.368432,42045000
2003-03-24,4.526667,4.666667,4.500000,4.543334,4.204923,20975400
2003-03-25,4.556667,4.743333,4.540000,4.673333,4.325241,16820700
2003-03-26,4.776667,4.883333,4.740000,4.803333,4.445557,27696000
2003-03-27,4.740000,4.840000,4.653333,4.666667,4.319069,34818300
2003-03-28,4.666667,4.683333,4.403333,4.476666,4.143223,32267100
2003-03-31,4.340000,4.393333,4.273334,4.293334,3.973545,17012700
2003-04-01,4.383333,4.466667,4.286667,4.420000,4.090778,13345200
2003-04-02,4.570000,4.660000,4.510000,4.583333,4.241944,19297500
2003-04-03,4.666667,4.666667,4.546667,4.643333,4.297476,17569500
2003-04-04,4.656667,4.663333,4.443333,4.463333,4.130882,12846000
2003-04-07,4.763333,4.800000,4.466667,4.510000,4.174074,16781400
2003-04-08,4.550000,4.573333,4.436666,4.466667,4.133967,11875800
2003-04-09,4.483333,4.603333,4.436666,4.443333,4.112372,17356500
2003-04-10,4.503334,4.510000,4.423333,4.466667,4.133967,9102600
2003-04-11,4.516667,4.553333,4.373333,4.416667,4.087693,9354600
2003-04-14,4.350000,4.506667,4.336667,4.493333,4.158648,11144400
2003-04-15,4.463333,4.526667,4.353333,4.470000,4.137052,12255300
2003-04-16,4.573333,4.583333,4.433333,4.470000,4.137052,16799700
2003-04-17,4.503334,4.560000,4.410000,4.550000,4.211094,13018500
2003-04-21,4.556667,4.680000,4.513333,4.666667,4.319069,14928600
2003-04-22,4.643333,4.730000,4.566667,4.726666,4.374602,19684800
2003-04-23,4.720000,4.863333,4.683333,4.833333,4.473323,15155100
2003-04-24,4.836667,4.836667,4.626667,4.690000,4.340666,16522800
2003-04-25,4.663333,4.743333,4.473333,4.516667,4.180245,22116300
2003-04-28,4.570000,4.736667,4.516667,4.653333,4.306731,16874700
2003-04-29,4.760000,4.863333,4.723333,4.796667,4.439387,16758600
2003-04-30,4.770000,4.900000,4.750000,4.776667,4.420877,11665500
2003-05-01,4.743333,4.853333,4.716667,4.806667,4.448643,18334200
2003-05-02,4.870000,5.333333,4.843333,5.300000,4.905230,42277200
2003-05-05,5.350000,5.680000,5.253334,5.430000,5.025548,39404100
2003-05-06,5.403333,5.576667,5.350000,5.436666,5.031717,28596600
2003-05-07,5.356667,5.483333,5.256667,5.350000,4.951506,22434300
2003-05-08,5.283333,5.566667,5.216667,5.353333,4.954590,48936300
2003-05-09,6.276667,7.176667,6.100000,7.123333,6.592753,230771400
2003-05-12,7.140000,7.300000,6.866667,6.923333,6.407650,75196500
2003-05-13,6.686666,6.900000,6.646667,6.793334,6.287333,45602700
2003-05-14,6.816667,6.900000,6.700000,6.786667,6.281164,24139500
2003-05-15,6.886667,7.033333,6.850000,7.020000,6.497116,27641400
2003-05-16,6.933333,7.210000,6.923333,7.086667,6.558818,25722900
2003-05-19,6.993333,7.060000,6.603333,6.686666,6.188612,30512100
2003-05-20,6.696667,6.783333,6.666667,6.733333,6.231802,22103100
2003-05-21,6.736667,6.973333,6.700000,6.970000,6.450840,22636800
2003-05-22,6.980000,7.056667,6.816667,6.993333,6.472435,22220400
2003-05-23,7.000000,7.133333,6.926667,6.956666,6.438500,21690300
2003-05-27,6.883333,7.600000,6.750000,7.573333,7.009235,41935200
2003-05-28,7.550000,7.633333,7.366667,7.553333,6.990725,30888900
2003-05-29,7.550000,8.326667,7.533333,8.070000,7.468907,57443400
2003-05-30,8.833333,8.876667,8.616667,8.723333,8.073578,53557800
2003-06-02,8.950000,8.960000,8.186666,8.240000,7.626245,39153600
2003-06-03,8.146667,8.660000,8.046667,8.410000,7.783581,39920100
2003-06-04,8.383333,8.616667,8.253333,8.610000,7.968687,29390100
2003-06-05,8.496667,8.886666,8.383333,8.856667,8.196979,30110100
2003-06-06,9.203333,9.250000,8.520000,8.586667,7.947089,34470900
2003-06-09,8.533334,8.753333,8.353333,8.483334,7.851453,18014700
2003-06-10,8.483334,8.613334,8.390000,8.606667,7.965600,14082600
2003-06-11,8.553333,8.690000,8.400000,8.613334,7.971773,23595900
2003-06-12,8.673333,8.766666,8.456667,8.483334,7.851453,26167200
2003-06-13,8.116667,8.350000,7.766667,7.823333,7.240614,45670200
2003-06-16,7.916667,8.090000,7.393333,7.990000,7.394866,47621700
2003-06-17,8.173333,8.233334,7.933333,8.180000,7.570715,24996300
2003-06-18,8.100000,8.656667,8.033334,8.493333,7.860709,28051800
2003-06-19,8.530000,8.573334,7.933333,7.976666,7.382526,29763300
2003-06-20,8.063334,8.066667,7.766667,7.893333,7.305400,23446200
2003-06-23,7.886667,7.926667,7.456666,7.613333,7.046255,18369600
2003-06-24,7.566667,7.733333,7.353333,7.596667,7.030830,25220400
2003-06-25,7.616667,7.926667,7.586667,7.646667,7.077106,26515500
2003-06-26,7.670000,7.760000,7.430000,7.656667,7.086362,24013500
2003-06-27,7.746666,7.816667,7.483333,7.520000,6.959876,17727600
2003-06-30,7.620000,7.770000,7.533333,7.636667,7.067852,13603200
2003-07-01,7.540000,7.960000,7.470000,7.950000,7.357846,24425400
2003-07-02,8.023334,8.126667,7.816667,7.926667,7.336250,21170700
2003-07-03,7.743333,8.040000,7.726666,7.836667,7.252954,10522800
2003-07-07,7.943333,8.393333,7.940000,8.350000,7.728051,20805000
2003-07-08,8.120000,8.366667,8.100000,8.256667,7.641670,15071400
2003-07-09,8.253333,8.583333,8.240000,8.446667,7.817518,18883800
2003-07-10,8.183333,8.290000,7.956666,8.100000,7.496672,16114200
2003-07-11,8.196667,8.246667,8.073334,8.143333,7.536778,12375000
2003-07-14,8.350000,8.400000,8.040000,8.080000,7.478162,17358600
2003-07-15,8.200000,8.236667,7.740000,7.816667,7.234443,28586400
2003-07-16,7.963333,8.000000,7.533333,7.720000,7.144977,22011900
2003-07-17,7.486667,7.583333,7.233333,7.333333,6.787111,21344100
2003-07-18,7.190000,7.213333,6.823333,7.086667,6.558818,32020800
2003-07-21,7.126667,7.150000,6.813334,6.980000,6.460096,24628500
2003-07-22,7.176667,7.230000,7.056667,7.096667,6.568073,14561100
2003-07-23,7.090000,7.233333,6.876667,7.190000,6.654455,15133200
2003-07-24,7.320000,7.373333,6.850000,6.910000,6.395310,27920700
2003-07-25,6.923333,7.060000,6.666667,7.020000,6.497116,25052100
2003-07-28,7.076667,7.093333,6.773334,6.803333,6.296588,17593800
2003-07-29,6.186666,6.720000,6.120000,6.356667,5.883191,69869700
2003-07-30,6.333333,6.406667,6.246666,6.286667,5.818405,19718100
2003-07-31,6.433333,6.526667,6.296667,6.363333,5.889361,22440000
2003-08-01,6.366667,6.626667,6.303333,6.573333,6.083719,19188900
2003-08-04,6.566667,6.940000,6.526667,6.820000,6.312014,35721300
2003-08-05,6.996666,7.156667,6.743333,6.800000,6.293503,26587200
2003-08-06,6.710000,6.800000,6.360000,6.523334,6.037443,25646700
2003-08-07,6.506667,6.600000,6.346667,6.433333,5.954146,26008500
2003-08-08,5.516667,5.540000,5.086667,5.166667,4.781829,94189500
2003-08-11,5.250000,5.516667,5.216667,5.446667,5.040973,41893800
2003-08-12,5.516667,5.570000,5.426667,5.556667,5.142780,19104000
2003-08-13,5.580000,5.683333,5.440000,5.593333,5.176715,17338800
2003-08-14,5.406667,5.486667,5.340000,5.400000,4.997781,38192400
2003-08-15,5.366667,5.416667,5.333333,5.383333,4.982357,5442900
2003-08-18,5.470000,5.543334,5.373333,5.543334,5.130439,17942100
2003-08-19,5.666667,6.000000,5.663333,5.966667,5.522241,35099400
2003-08-20,5.883333,5.993333,5.753334,5.883333,5.445114,21758700
2003-08-21,6.026667,6.100000,5.933333,6.043334,5.593197,16118700
2003-08-22,6.406667,6.493333,6.083333,6.086667,5.633301,25059900
2003-08-25,6.203333,6.203333,6.000000,6.053333,5.602452,10850700
2003-08-26,5.976666,6.066667,5.793334,5.956666,5.512984,19224600
2003-08-27,5.996666,6.200000,5.933333,6.136667,5.679579,14195400
2003-08-28,6.196667,6.230000,5.906667,5.976666,5.531495,20707800
2003-08-29,5.966667,6.083333,5.943333,6.056667,5.605537,13322100
2003-09-02,6.163333,6.216667,5.973333,6.003334,5.556176,17786400
2003-09-03,6.093333,6.110000,5.856667,5.886667,5.448199,21249300
2003-09-04,5.910000,6.083333,5.866667,5.943333,5.500645,18501600
2003-09-05,5.953333,6.366667,5.883333,6.226666,5.762874,29968500
2003-09-08,6.326667,6.586667,6.250000,6.513333,6.028189,37717800
2003-09-09,6.333333,7.156667,6.246666,6.913333,6.398396,62235900
2003-09-10,6.716667,6.896667,6.386667,6.440000,5.960318,34515600
2003-09-11,6.526667,6.716667,6.100000,6.356667,5.883191,65318400
2003-09-12,6.303333,6.590000,6.233333,6.450000,5.969573,29060100
2003-09-15,6.503334,6.536667,6.320000,6.343333,5.870850,14900700
2003-09-16,6.356667,6.560000,6.356667,6.540000,6.052870,15518400
2003-09-17,6.580000,6.743333,6.526667,6.616667,6.123825,22569600
2003-09-18,6.580000,6.670000,6.506667,6.666667,6.170101,15087300
2003-09-19,6.743333,6.786667,6.553333,6.613333,6.120740,16202400
2003-09-22,6.483333,6.496666,6.300000,6.353333,5.880108,18387600
2003-09-23,6.363333,6.450000,6.280000,6.413333,5.935638,15723300
2003-09-24,6.276667,6.333333,5.916667,5.926667,5.485220,40016700
2003-09-25,5.973333,6.080000,5.816667,5.843333,5.408092,18419400
2003-09-26,5.826667,5.843333,5.543334,5.620000,5.201395,22397700
2003-09-29,5.336667,5.526667,5.233333,5.316667,4.920655,48624900
2003-09-30,5.270000,5.503334,5.250000,5.323333,4.926826,25522200
2003-10-01,5.333333,5.430000,5.320000,5.366667,4.966932,21930600
2003-10-02,5.333333,5.526667,5.316667,5.450000,5.044057,21440700
2003-10-03,5.600000,5.733333,5.503334,5.593333,5.176715,21570300
2003-10-06,5.603333,5.660000,5.503334,5.550000,5.136609,9425700
2003-10-07,5.550000,5.600000,5.473333,5.600000,5.182886,12764700
2003-10-08,5.600000,5.650000,5.370000,5.403333,5.000866,18486000
2003-10-09,5.483333,5.693333,5.436666,5.480000,5.071824,21310200
2003-10-10,5.566667,5.616667,5.500000,5.576667,5.161289,10349400
2003-10-13,5.640000,5.750000,5.596667,5.633333,5.213736,10872600
2003-10-14,5.573333,5.753334,5.540000,5.736667,5.309373,15588900
2003-10-15,5.803333,5.910000,5.626667,5.663333,5.241501,17587200
2003-10-16,5.670000,5.753334,5.583333,5.733333,5.306286,11152200
2003-10-17,5.700000,5.810000,5.546667,5.553333,5.139693,11492400
2003-10-20,5.556667,5.683333,5.523334,5.676667,5.253840,11684700
2003-10-21,5.780000,5.960000,5.700000,5.850000,5.414263,18968100
2003-10-22,5.760000,5.893333,5.720000,5.750000,5.321712,15523800
2003-10-23,5.666667,5.833333,5.656667,5.723333,5.297032,11288100
2003-10-24,5.666667,5.753334,5.613333,5.703333,5.278522,11177100
2003-10-27,5.733333,5.800000,5.693333,5.733333,5.306286,6361500
2003-10-28,5.810000,6.126667,5.783333,6.093333,5.639472,23901600
2003-10-29,5.913333,6.166667,5.910000,6.093333,5.639472,12350100
2003-10-30,6.250000,6.253334,5.970000,5.980000,5.534581,14531400
2003-10-31,6.033333,6.083333,5.800000,5.893333,5.454369,14953800
2003-11-03,5.863333,6.116667,5.836667,6.003334,5.556176,19343100
2003-11-04,6.133333,6.150000,5.983333,6.023334,5.574686,17522400
2003-11-05,5.900000,6.106667,5.803333,6.046667,5.596282,22050600
2003-11-06,6.136667,6.166667,5.946667,6.056667,5.605537,29382000
2003-11-07,7.220000,7.353333,7.066667,7.250000,6.709986,107320500
2003-11-10,7.273334,7.373333,7.186666,7.230000,6.691474,30251400
2003-11-11,7.066667,7.190000,6.923333,7.050000,6.524881,19978500
2003-11-12,7.026667,7.166667,6.993333,7.143333,6.611264,15441600
2003-11-13,7.143333,7.246666,7.103333,7.146667,6.614349,14508300
2003-11-14,7.166667,7.166667,6.703333,6.723333,6.222547,22210500
2003-11-17,6.596667,6.733333,6.533333,6.653333,6.157760,14997000
2003-11-18,6.816667,6.900000,6.533333,6.556667,6.068294,24785700
2003-11-19,6.603333,6.766667,6.580000,6.740000,6.237972,14188800
2003-11-20,6.633333,6.780000,6.533333,6.560000,6.071380,18471300
2003-11-21,6.640000,6.650000,6.460000,6.586667,6.096060,13581000
2003-11-24,6.650000,7.000000,6.603333,6.983333,6.463180,23516100
2003-11-25,7.013333,7.163333,6.933333,7.103333,6.574244,20570100
2003-11-26,7.220000,7.243333,6.976666,7.110000,6.580413,10750800
2003-11-28,7.106667,7.126667,7.016667,7.076667,6.549562,5153400
2003-12-01,7.156667,7.230000,7.073333,7.176667,6.642114,13174500
2003-12-02,7.133333,7.293334,7.103333,7.146667,6.614349,14368500
2003-12-03,7.166667,7.400000,7.056667,7.073333,6.546477,17750700
2003-12-04,7.096667,7.223333,6.870000,7.036667,6.512541,13048800
2003-12-05,6.870000,7.066667,6.753334,6.810000,6.302759,13996200
2003-12-08,6.810000,6.930000,6.750000,6.860000,6.349034,8524500
2003-12-09,6.846667,6.913333,6.500000,6.503334,6.018934,14953200
2003-12-10,6.503334,6.683333,6.500000,6.646667,6.151590,14216400
2003-12-11,6.643333,7.066667,6.630000,6.983333,6.463180,17371800
2003-12-12,7.076667,7.123333,6.833333,6.946667,6.429245,17517300
2003-12-15,7.150000,7.160000,6.786667,6.806667,6.299674,15568800
2003-12-16,6.766667,6.943333,6.646667,6.900000,6.386054,15043200
2003-12-17,6.843333,6.866667,6.653333,6.766667,6.262654,12477900
2003-12-18,6.780000,6.990000,6.773334,6.920000,6.404565,10918200
2003-12-19,7.093333,7.200000,6.946667,7.023334,6.500201,22923900
2003-12-22,6.920000,7.050000,6.850000,7.033333,6.509456,9279600
2003-12-23,7.006667,7.390000,7.003334,7.320000,6.774771,18069000
2003-12-24,7.316667,7.340000,7.246666,7.266667,6.725410,5271300
2003-12-26,7.323333,7.623333,7.293334,7.580000,7.015405,9099000
2003-12-29,7.723333,7.926667,7.686666,7.900000,7.311569,18915600
2003-12-30,7.816667,8.066667,7.810000,7.916667,7.326994,13772100
2003-12-31,7.913333,7.950000,7.606667,7.733333,7.157317,12431700
2004-01-02,7.856667,7.963333,7.693333,7.693333,7.120296,10910400
2004-01-05,7.810000,7.996666,7.740000,7.943333,7.351676,14382300
2004-01-06,7.920000,8.376667,7.883333,8.266666,7.650925,27333600
2004-01-07,8.173333,8.380000,8.116667,8.340000,7.718798,16825800
2004-01-08,8.443334,8.483334,8.290000,8.370000,7.746562,10843800
2004-01-09,8.313334,8.593333,8.246667,8.490000,7.857621,19164600
2004-01-12,8.520000,8.613334,8.440000,8.586667,7.947089,13549500
2004-01-13,8.543333,8.626667,8.053333,8.143333,7.536778,21645000
2004-01-14,8.183333,8.300000,8.006667,8.083333,7.481248,13621800
2004-01-15,8.023334,8.163333,7.880000,8.096666,7.493587,15230100
2004-01-16,8.180000,8.290000,8.103333,8.220000,7.607735,11293200
2004-01-20,8.320000,8.463333,8.226666,8.450000,7.820603,12194100
2004-01-21,8.380000,8.413333,8.046667,8.060000,7.459653,12361500
2004-01-22,8.103333,8.233334,7.776667,7.873333,7.286890,15143100
2004-01-23,7.833333,7.990000,7.680000,7.696667,7.123382,12061800
2004-01-26,7.746666,8.033334,7.686666,8.000000,7.404121,9842100
2004-01-27,7.840000,7.966667,7.483333,7.543334,6.981470,23352600
2004-01-28,7.640000,7.760000,7.483333,7.523334,6.962959,15380100
2004-01-29,7.546667,7.583333,7.050000,7.303333,6.759346,23242500
2004-01-30,7.286667,7.583333,7.243333,7.416667,6.864238,11661600
2004-02-02,7.476666,7.683333,7.400000,7.536667,6.975299,14021100
2004-02-03,7.516667,7.646667,7.410000,7.510000,6.950618,10450800
2004-02-04,7.403333,7.463333,7.296667,7.306667,6.762431,10920000
2004-02-05,7.346667,7.500000,7.300000,7.416667,6.864238,8299500
2004-02-06,7.513333,7.693333,7.473333,7.586667,7.021574,11778300
2004-02-09,7.643333,7.766667,7.530000,7.533333,6.972214,9349800
2004-02-10,7.556667,7.816667,7.553333,7.810000,7.228272,12742500
2004-02-11,7.910000,8.110000,7.883333,8.083333,7.481248,18445200
2004-02-12,8.040000,8.083333,7.716667,7.840000,7.256040,24372300
2004-02-13,7.633333,7.963333,7.566667,7.766667,7.188168,43687500
2004-02-17,7.796667,7.876667,7.690000,7.853333,7.268380,14399400
2004-02-18,7.876667,7.916667,7.800000,7.853333,7.268380,8006100
2004-02-19,7.950000,8.090000,7.833333,7.850000,7.265296,15775800
2004-02-20,7.836667,8.066667,7.793334,8.046667,7.447313,15453000
2004-02-23,8.033334,8.046667,7.660000,7.766667,7.188168,21333300
2004-02-24,7.633333,7.730000,7.373333,7.456666,6.901258,17709600
2004-02-25,7.503334,7.643333,7.420000,7.500000,6.941364,16312800
2004-02-26,7.610000,7.623333,7.456666,7.550000,6.987640,8624400
2004-02-27,7.566667,7.573333,7.303333,7.416667,6.864238,14888700
2004-03-01,7.396667,7.540000,7.386667,7.526667,6.966044,12665700
2004-03-02,7.536667,7.590000,7.356667,7.386667,6.836471,20333700
2004-03-03,7.366667,7.366667,7.170000,7.290000,6.747006,13812300
2004-03-04,7.363333,7.463333,7.303333,7.450000,6.895088,10333800
2004-03-05,7.283333,7.566667,7.256667,7.396667,6.845727,8872200
2004-03-08,7.400000,7.500000,7.083333,7.140000,6.608179,11629200
2004-03-09,7.200000,7.206666,6.970000,7.090000,6.561903,9280800
2004-03-10,7.136667,7.213333,6.936666,6.986667,6.466266,12042300
2004-03-11,6.893333,7.140000,6.893333,6.933333,6.416906,13171800
2004-03-12,7.026667,7.166667,6.950000,7.080000,6.552649,9448800
2004-03-15,7.036667,7.066667,6.876667,6.920000,6.404565,10530600
2004-03-16,7.006667,7.250000,6.960000,7.216667,6.679134,14937600
2004-03-17,7.333333,7.463333,7.303333,7.393333,6.842642,13114800
2004-03-18,7.353333,7.566667,7.333333,7.476666,6.919767,13201200
2004-03-19,7.436666,7.513333,7.346667,7.390000,6.839557,11324100
2004-03-22,7.276667,7.390000,7.166667,7.333333,6.787111,14417700
2004-03-23,7.433333,7.513333,7.280000,7.363333,6.814876,14400900
2004-03-24,7.350000,7.816667,7.333333,7.693333,7.120296,19683600
2004-03-25,7.780000,8.180000,7.766667,8.140000,7.533693,24928200
2004-03-26,8.116667,8.243333,8.006667,8.116667,7.512099,13790100
2004-03-29,8.233334,8.576667,8.216666,8.466666,7.836025,24644100
2004-03-30,8.410000,8.760000,8.403334,8.720000,8.070494,18123900
2004-03-31,8.763333,8.893333,8.716666,8.800000,8.144534,15118800
2004-04-01,8.810000,8.990000,8.423333,8.643333,7.999538,32987700
2004-04-02,8.833333,8.890000,8.566667,8.766666,8.113682,16243500
2004-04-05,8.720000,9.116667,8.720000,9.080000,8.403676,14418600
2004-04-06,8.900000,8.963333,8.666667,8.713333,8.064321,15602400
2004-04-07,8.780000,8.783334,8.513333,8.666667,8.021131,11196600
2004-04-08,8.860000,9.000000,8.793333,8.913333,8.249424,11177400
2004-04-12,8.983334,9.023334,8.693334,8.746667,8.095174,11094600
2004-04-13,8.826667,8.833333,8.500000,8.543333,7.906985,11067600
2004-04-14,8.500000,8.746667,8.403334,8.586667,7.947089,12800400
2004-04-15,8.470000,8.506667,8.100000,8.136666,7.530610,20702100
2004-04-16,8.103333,8.106667,7.853333,7.870000,7.283804,16371600
2004-04-19,7.863333,7.916667,7.720000,7.860000,7.274549,13070100
2004-04-20,7.880000,7.966667,7.523334,7.526667,6.966044,12845100
2004-04-21,7.556667,7.800000,7.480000,7.536667,6.975299,17220300
2004-04-22,7.466667,7.706666,7.310000,7.580000,7.015405,17388000
2004-04-23,7.673333,7.876667,7.650000,7.746666,7.169657,11098200
2004-04-26,7.763333,7.796667,7.423333,7.443333,6.888918,10747800
2004-04-27,7.530000,7.730000,7.353333,7.380000,6.830302,12364200
2004-04-28,7.383333,7.496666,7.293334,7.350000,6.802537,11719200
2004-04-29,7.306667,7.356667,7.050000,7.146667,6.614349,16126200
2004-04-30,7.106667,7.150000,6.813334,6.840000,6.330523,12823200
2004-05-03,6.913333,6.983333,6.633333,6.753334,6.250313,15266700
2004-05-04,6.850000,7.270000,6.833333,7.183333,6.648283,19309500
2004-05-05,7.190000,7.306667,7.130000,7.243333,6.703816,11607000
2004-05-06,7.170000,7.360000,7.016667,7.303333,6.759346,17783700
2004-05-07,7.516667,7.656667,7.320000,7.360000,6.811792,23919300
2004-05-10,7.163333,7.240000,6.916667,7.073333,6.546477,16726800
2004-05-11,7.163333,7.316667,7.133333,7.246666,6.706900,9998400
2004-05-12,7.206666,7.216667,6.896667,7.146667,6.614349,12058200
2004-05-13,7.086667,7.300000,7.066667,7.170000,6.635944,8698800
2004-05-14,7.200000,7.326667,7.133333,7.170000,6.635944,11475000
2004-05-17,7.066667,7.160000,6.950000,7.056667,6.531053,7708500
2004-05-18,7.120000,7.253334,7.093333,7.170000,6.635944,5110500
2004-05-19,7.330000,7.433333,7.116667,7.153333,6.620518,12456900
2004-05-20,7.140000,7.260000,7.013333,7.050000,6.524881,10537200
2004-05-21,7.133333,7.143333,6.970000,7.066667,6.540307,7052400
2004-05-24,7.053333,7.123333,6.960000,7.043334,6.518712,7540500
2004-05-25,7.073333,7.383333,6.930000,7.350000,6.802537,17031600
2004-05-26,7.350000,7.600000,7.306667,7.500000,6.941364,13114200
2004-05-27,7.623333,7.736667,7.513333,7.523334,6.962959,13913700
2004-05-28,7.616667,7.860000,7.556667,7.816667,7.234443,15949500
2004-06-01,7.683333,7.890000,7.673333,7.810000,7.228272,7960500
2004-06-02,8.000000,8.036667,7.743333,7.750000,7.172742,16095000
2004-06-03,7.753334,7.770000,7.353333,7.376667,6.827216,17520600
2004-06-04,7.526667,7.543334,7.296667,7.303333,6.759346,16240200
2004-06-07,7.423333,7.563334,7.330000,7.480000,6.922854,14298900
2004-06-08,7.436666,7.450000,7.236667,7.346667,6.799452,15375000
2004-06-09,7.390000,7.400000,6.980000,7.003334,6.481692,12458400
2004-06-10,7.116667,7.130000,6.870000,6.933333,6.416906,14112900
2004-06-14,6.896667,6.896667,6.663333,6.716667,6.216376,10618800
2004-06-15,6.830000,6.920000,6.753334,6.816667,6.308928,9864600
2004-06-16,6.796667,6.840000,6.683333,6.710000,6.210208,6314400
2004-06-17,6.666667,6.830000,6.543334,6.576667,6.086806,12059400
2004-06-18,6.613333,6.770000,6.500000,6.586667,6.096060,13358400
2004-06-21,6.596667,6.700000,6.426667,6.470000,5.988083,6664200
2004-06-22,6.506667,6.683333,6.463333,6.653333,6.157760,10757700
2004-06-23,6.633333,6.793334,6.616667,6.766667,6.262654,6616500
2004-06-24,6.946667,6.970000,6.656667,6.706666,6.207122,14766300
2004-06-25,6.753334,6.830000,6.673333,6.750000,6.247227,8228100
2004-06-28,6.846667,6.870000,6.666667,6.693333,6.194782,7484400
2004-06-29,6.733333,6.933333,6.706666,6.923333,6.407650,9096300
2004-06-30,6.740000,6.930000,6.740000,6.823333,6.315099,8231700
2004-07-01,6.900000,6.910000,6.500000,6.510000,6.025105,12640500
2004-07-02,6.580000,6.583333,6.370000,6.420000,5.941807,7373700
2004-07-06,6.343333,6.410000,5.973333,6.043334,5.593197,14384700
2004-07-07,6.120000,6.246666,6.043334,6.073333,5.620962,8603400
2004-07-08,6.016667,6.116667,5.876667,5.886667,5.448199,10751400
2004-07-09,5.880000,5.886667,5.523334,5.633333,5.213736,27862500
2004-07-12,5.476666,5.633333,5.430000,5.503334,5.093419,16901100
2004-07-13,5.570000,5.666667,5.433333,5.493333,5.084163,14177700
2004-07-14,5.300000,5.446667,5.143333,5.250000,4.858955,22540200
2004-07-15,5.303333,5.360000,5.180000,5.213333,4.825018,15283800
2004-07-16,5.373333,5.380000,5.060000,5.060000,4.683107,11617500
2004-07-19,5.073333,5.173333,5.003334,5.116667,4.735553,11527200
2004-07-20,5.113333,5.240000,5.063334,5.220000,4.831189,8538600
2004-07-21,5.300000,5.306667,4.886667,4.903333,4.538109,15335400
2004-07-22,4.960000,5.033333,4.800000,5.006667,4.633745,13036500
2004-07-23,5.040000,5.046667,4.840000,4.873333,4.510344,9287400
2004-07-26,4.936666,4.980000,4.690000,4.736667,4.383857,12580200
2004-07-27,4.760000,4.906667,4.613333,4.893333,4.528854,19747200
2004-07-28,4.883333,4.900000,4.633333,4.770000,4.414706,12627900
2004-07-29,4.836667,5.206666,4.813334,5.083333,4.704702,18684000
2004-07-30,5.020000,5.233333,5.010000,5.140000,4.757148,10098900
2004-08-02,5.143333,5.226666,5.056667,5.206666,4.818849,10524600
2004-08-03,5.230000,5.233333,4.896667,4.936666,4.568959,18538500
2004-08-04,4.883333,5.036667,4.876667,4.990000,4.618320,12695400
2004-08-05,5.043334,5.066667,4.766667,4.853333,4.491833,21498000
2004-08-06,3.370000,3.400000,3.100000,3.143333,2.909203,127223700
2004-08-09,3.223333,3.356667,3.170000,3.283333,3.038775,39480300
2004-08-10,3.466667,3.576667,3.410000,3.543333,3.279409,51297900
2004-08-11,3.496667,3.496667,3.416667,3.440000,3.183773,24095400
2004-08-12,3.450000,3.460000,3.353333,3.360000,3.109731,16359600
2004-08-13,3.440000,3.523333,3.410000,3.500000,3.239303,20392500
2004-08-16,3.460000,3.553333,3.440000,3.466667,3.208453,13293300
2004-08-17,3.543333,3.676667,3.510000,3.656667,3.384301,18622800
2004-08-18,3.673333,3.900000,3.643333,3.900000,3.609509,21810600
2004-08-19,3.876667,3.946667,3.826667,3.886667,3.597169,18110100
2004-08-20,3.866667,4.173333,3.853333,4.116667,3.810037,29976000
2004-08-23,4.183333,4.250000,4.160000,4.206666,3.893335,20000700
2004-08-24,4.266667,4.286667,3.970000,4.050000,3.748336,23485500
2004-08-25,4.140000,4.253334,4.063334,4.223333,3.908759,18032700
2004-08-26,4.216667,4.260000,4.183333,4.233333,3.918013,15318000
2004-08-27,4.236667,4.373333,4.233333,4.313334,3.992056,14128200
2004-08-30,4.296667,4.320000,4.166667,4.170000,3.859399,15701400
2004-08-31,4.186666,4.206666,4.023334,4.153333,3.843972,14676600
2004-09-01,4.100000,4.293334,4.046667,4.233333,3.918013,14793600
2004-09-02,4.253334,4.440000,4.213333,4.406667,4.078437,19252200
2004-09-03,4.273334,4.360000,4.236667,4.273334,3.955034,17876400
2004-09-07,4.300000,4.390000,4.136667,4.193333,3.880993,18183300
2004-09-08,4.196667,4.233333,4.096667,4.106667,3.800782,20874600
2004-09-09,4.206666,4.590000,4.186666,4.516667,4.180245,32483100
2004-09-10,4.440000,4.713333,4.426667,4.690000,4.340666,25983600
2004-09-13,4.683333,4.873333,4.676667,4.780000,4.423964,24193800
2004-09-14,4.736667,4.833333,4.700000,4.800000,4.442473,17088900
2004-09-15,4.653333,4.666667,4.473333,4.533333,4.195668,29097600
2004-09-16,4.610000,4.750000,4.593333,4.703333,4.353006,20250600
2004-09-17,4.740000,4.923333,4.700000,4.896667,4.531938,25095000
2004-09-20,4.800000,5.030000,4.740000,4.890000,4.525771,19865700
2004-09-21,5.000000,5.060000,4.940000,5.020000,4.646086,12597600
2004-09-22,4.886667,5.006667,4.763333,4.786667,4.430132,15648000
2004-09-23,4.843333,4.856667,4.703333,4.830000,4.470239,14466600
2004-09-24,4.850000,4.856667,4.613333,4.683333,4.334496,11907900
2004-09-27,4.646667,4.700000,4.516667,4.600000,4.257370,10150500
2004-09-28,4.590000,4.706666,4.526667,4.666667,4.319069,11871000
2004-09-29,4.663333,4.913333,4.603333,4.780000,4.423964,13430700
2004-09-30,4.833333,4.950000,4.743333,4.840000,4.479494,15492000
2004-10-01,4.863333,5.066667,4.840000,5.040000,4.664597,14760300
2004-10-04,5.083333,5.250000,5.073333,5.183333,4.797253,16848300
2004-10-05,5.056667,5.190000,5.020000,5.066667,4.689277,15829500
2004-10-06,5.056667,5.110000,4.940000,5.086667,4.707788,12462600
2004-10-07,5.180000,5.296667,5.090000,5.116667,4.735553,19951800
2004-10-08,5.063334,5.083333,4.793334,4.836667,4.476409,17335500
2004-10-11,4.843333,4.940000,4.756667,4.843333,4.482577,9346200
2004-10-12,4.680000,4.810000,4.603333,4.773334,4.417792,20680800
2004-10-13,4.916667,4.980000,4.703333,4.743333,4.390027,16820400
2004-10-14,4.786667,4.786667,4.566667,4.600000,4.257370,12831600
2004-10-15,4.610000,4.616667,4.360000,4.473333,4.140139,32012100
2004-10-18,4.446667,4.600000,4.410000,4.553333,4.214179,14349300
2004-10-19,4.656667,4.703333,4.490000,4.523334,4.186414,15462000
2004-10-20,4.510000,4.596667,4.483333,4.576667,4.235775,13505100
2004-10-21,4.623333,4.740000,4.586667,4.680000,4.331410,25349100
2004-10-22,4.723333,4.733333,4.413333,4.426667,4.096948,17161500
2004-10-25,4.390000,4.543334,4.380000,4.446667,4.115457,13229100
2004-10-26,4.883333,5.063334,4.723333,4.830000,4.470239,61394400
2004-10-27,4.743333,5.053333,4.743333,4.963333,4.593640,26850900
2004-10-28,4.896667,5.000000,4.863333,4.910000,4.544279,14038800
2004-10-29,4.863333,4.930000,4.780000,4.823333,4.464067,18571500
2004-11-01,4.890000,4.930000,4.826667,4.926667,4.559705,16347300
2004-11-02,4.913333,5.100000,4.873333,4.996666,4.624490,27393900
2004-11-03,5.200000,5.216667,5.016667,5.043334,4.667682,22758900
2004-11-04,5.080000,5.200000,4.973333,5.136667,4.754062,24888600
2004-11-05,5.933333,6.256667,5.813334,5.880000,5.442029,96225300
2004-11-08,5.816667,6.023334,5.790000,5.943333,5.500645,17965500
2004-11-09,5.853333,5.993333,5.850000,5.906667,5.466709,15398400
2004-11-10,5.900000,5.963333,5.873333,5.906667,5.466709,16147800
2004-11-11,5.943333,6.023334,5.903333,6.023334,5.574686,12675000
2004-11-12,6.116667,6.133333,5.973333,6.033333,5.583941,16176900
2004-11-15,5.973333,6.166667,5.936666,6.123333,5.667237,13411800
2004-11-16,6.143333,6.210000,5.990000,6.103333,5.648727,11818200
2004-11-17,6.200000,6.370000,6.140000,6.206666,5.744364,15069300
2004-11-18,6.260000,6.340000,6.130000,6.286667,5.818405,13313100
2004-11-19,6.766667,6.843333,6.270000,6.320000,5.849256,53151300
2004-11-22,6.343333,6.500000,6.283333,6.500000,6.015849,18344700
2004-11-23,6.446667,6.596667,6.393333,6.526667,6.040529,16922400
2004-11-24,6.520000,6.660000,6.503334,6.553333,6.065209,10714500
2004-11-26,6.583333,6.680000,6.526667,6.620000,6.126910,8769000
2004-11-29,6.670000,6.716667,6.433333,6.490000,6.006593,17609700
2004-11-30,6.516667,6.523334,6.340000,6.376667,5.901703,14413500
2004-12-01,6.433333,6.536667,6.386667,6.536667,6.049784,12864300
2004-12-02,6.473333,6.673333,6.423333,6.623333,6.129994,18966300
2004-12-03,6.783333,7.000000,6.760000,6.910000,6.395310,33682800
2004-12-06,6.943333,7.296667,6.820000,7.240000,6.700728,24262500
2004-12-07,7.663333,8.320000,7.513333,7.603333,7.037001,73176300
2004-12-08,7.710000,7.833333,7.633333,7.693333,7.120296,21818100
2004-12-09,7.556667,7.703333,7.410000,7.623333,7.055511,21749100
2004-12-10,7.800000,7.853333,7.723333,7.770000,7.191253,16321200
2004-12-13,7.653333,7.753334,7.520000,7.556667,6.993810,18450600
2004-12-14,7.563334,7.716667,7.550000,7.710000,7.135721,12824700
2004-12-15,7.786667,7.803333,7.666667,7.780000,7.200507,10819200
2004-12-16,8.006667,8.286667,7.870000,7.883333,7.296144,38100900
2004-12-17,8.030000,8.063334,7.596667,7.686666,7.114126,30356100
2004-12-20,7.776667,7.896667,7.563334,7.603333,7.037001,22468200
2004-12-21,7.603333,7.713333,7.416667,7.660000,7.089447,22485000
2004-12-22,7.813334,7.850000,7.653333,7.670000,7.098701,10545600
2004-12-23,7.626667,7.776667,7.590000,7.690000,7.117211,9174300
2004-12-27,7.796667,7.830000,7.583333,7.623333,7.055511,7705200
2004-12-28,7.640000,7.700000,7.553333,7.583333,7.018491,7290300
2004-12-29,7.560000,7.743333,7.540000,7.650000,7.080191,7368300
2004-12-30,7.653333,7.716667,7.586667,7.620000,7.052426,6495300
2004-12-31,7.730000,7.893333,7.700000,7.853333,7.268380,14399100
2005-01-03,8.126667,8.240000,7.826667,7.860000,7.274549,26667900
2005-01-04,7.916667,7.930000,7.370000,7.490000,6.932107,19755600
2005-01-05,7.410000,7.650000,7.370000,7.560000,6.996895,18120300
2005-01-06,7.693333,7.783333,7.433333,7.486667,6.929022,14089200
2005-01-07,7.503334,7.560000,7.233333,7.343333,6.796367,19077300
2005-01-10,7.366667,7.433333,7.316667,7.360000,6.811792,14488800
2005-01-11,7.290000,7.330000,7.023334,7.133333,6.602008,27334500
2005-01-12,7.196667,7.223333,6.900000,7.073333,6.546477,26445000
2005-01-13,7.090000,7.333333,6.933333,7.146667,6.614349,22469100
2005-01-14,7.280000,7.296667,7.100000,7.170000,6.635944,14347800
2005-01-18,7.090000,7.300000,7.073333,7.283333,6.740834,11613900
2005-01-19,7.316667,7.333333,7.086667,7.116667,6.586583,8412300
2005-01-20,6.973333,7.306667,6.973333,7.133333,6.602008,16002000
2005-01-21,7.143333,7.286667,7.120000,7.146667,6.614349,14908800
2005-01-24,7.106667,7.210000,6.820000,6.860000,6.349034,11592600
2005-01-25,6.890000,7.076667,6.850000,6.980000,6.460096,10992600
2005-01-26,7.003334,7.166667,6.886667,7.070000,6.543393,10728000
2005-01-27,7.083333,7.670000,7.040000,7.636667,7.067852,25072800
2005-01-28,7.666667,7.696667,7.460000,7.626667,7.058596,16776300
2005-01-31,7.690000,7.783333,7.533333,7.640000,7.070936,14074200
2005-02-01,7.633333,7.816667,7.586667,7.783333,7.203594,12679500
2005-02-02,8.090000,8.280000,7.860000,8.216666,7.604649,50885100
2005-02-03,8.130000,8.186666,8.016666,8.130000,7.524439,17253000
2005-02-04,8.133333,8.620000,8.130000,8.596666,7.956344,20161200
2005-02-07,8.606667,8.766666,8.416667,8.493333,7.860709,13040700
2005-02-08,8.440000,8.713333,8.413333,8.576667,7.937836,11394300
2005-02-09,8.600000,8.626667,8.233334,8.276667,7.660179,19593900
2005-02-10,8.320000,8.513333,8.290000,8.470000,7.839112,15059400
2005-02-11,8.416667,8.780000,8.386666,8.716666,8.067407,13912800
2005-02-14,8.713333,8.746667,8.500000,8.533334,7.897729,10822500
2005-02-15,8.590000,8.883333,8.576667,8.610000,7.968687,18712500
2005-02-16,8.583333,8.706667,8.426666,8.580000,7.940920,11661600
2005-02-17,8.696667,8.700000,8.436666,8.503333,7.869962,25435200
2005-02-18,9.156667,9.433333,8.903334,9.423333,8.721437,78303000
2005-02-22,9.360000,9.763333,9.276667,9.543333,8.832500,35520000
2005-02-23,9.390000,9.506667,9.080000,9.233334,8.545593,27696000
2005-02-24,9.106667,9.490000,9.106667,9.476666,8.770797,17387400
2005-02-25,9.490000,9.663333,9.386666,9.613334,8.897285,13128300
2005-02-28,9.566667,9.666667,9.483334,9.663333,8.943562,18951600
2005-03-01,9.706667,9.866667,9.543333,9.640000,8.921967,18428700
2005-03-02,9.533334,9.586667,9.300000,9.356667,8.659735,23686500
2005-03-03,9.333333,9.393333,9.093333,9.230000,8.542503,19032300
2005-03-04,9.256667,9.336667,9.113334,9.190000,8.505485,14828100
2005-03-07,9.230000,9.476666,9.166667,9.283334,8.591866,12779400
2005-03-08,9.260000,9.280000,8.753333,8.813334,8.156874,33309600
2005-03-09,8.756667,8.920000,8.556666,8.583333,7.944006,22753500
2005-03-10,8.610000,8.686666,8.443334,8.580000,7.940920,17232000
2005-03-11,8.656667,8.670000,8.310000,8.386666,7.761986,18304500
2005-03-14,8.560000,8.660000,8.500000,8.623333,7.981024,14303700
2005-03-15,8.666667,8.750000,8.443334,8.450000,7.820603,9452700
2005-03-16,8.416667,8.550000,8.303333,8.306666,7.687944,13383900
2005-03-17,8.333333,8.363334,8.203333,8.223333,7.610821,11064600
2005-03-18,8.230000,8.256667,7.906667,8.056666,7.456567,15975300
2005-03-21,8.053333,8.353333,8.003333,8.333333,7.712626,16361400
2005-03-22,8.340000,8.416667,8.153334,8.183333,7.573801,15574800
2005-03-23,8.173333,8.416667,8.156667,8.360000,7.737307,18219600
2005-03-24,8.383333,8.610000,8.370000,8.376667,7.752734,21633900
2005-03-28,8.380000,8.500000,8.203333,8.283334,7.666350,12779700
2005-03-29,8.273334,8.366667,8.063334,8.100000,7.496672,14685000
2005-03-30,8.103333,8.216666,7.823333,8.100000,7.496672,21467700
2005-03-31,8.053333,8.110000,7.883333,7.920000,7.330080,12957900
2005-04-01,8.016666,8.063334,7.796667,7.843333,7.259122,12768900
2005-04-04,7.800000,7.823333,7.623333,7.796667,7.215932,10535700
2005-04-05,7.800000,7.963333,7.613333,7.660000,7.089447,10753200
2005-04-06,7.803333,7.933333,7.750000,7.776667,7.197423,14186700
2005-04-07,7.816667,8.000000,7.683333,7.920000,7.330080,12658800
2005-04-08,7.953333,8.130000,7.800000,7.816667,7.234443,15538500
2005-04-11,7.873333,7.900000,7.640000,7.663333,7.092532,8209500
2005-04-12,7.640000,7.770000,7.470000,7.756667,7.178913,12805800
2005-04-13,7.766667,7.786667,7.383333,7.433333,6.879663,12460200
2005-04-14,7.450000,7.520000,7.346667,7.373333,6.824131,8802000
2005-04-15,7.280000,7.333333,7.050000,7.116667,6.586583,15753900
2005-04-18,7.073333,7.226666,7.033333,7.066667,6.540307,11827500
2005-04-19,7.183333,7.366667,7.150000,7.313334,6.768601,9136500
2005-04-20,7.436666,7.483333,7.083333,7.090000,6.561903,14116800
2005-04-21,7.233333,7.510000,7.170000,7.483333,6.925939,13453800
2005-04-22,7.436666,7.486667,7.326667,7.413333,6.861152,8406900
2005-04-25,7.476666,7.586667,7.440000,7.530000,6.969129,7954200
2005-04-26,7.533333,7.690000,7.343333,7.496666,6.938279,8828700
2005-04-27,7.300000,7.326667,7.060000,7.210000,6.672964,15233700
2005-04-28,7.186666,7.330000,7.116667,7.233333,6.694559,9323700
2005-04-29,7.303333,7.360000,6.973333,7.310000,6.765516,11958900
2005-05-02,7.396667,7.480000,7.173333,7.283333,6.740834,8372700
2005-05-03,7.290000,7.423333,7.213333,7.243333,6.703816,10987800
2005-05-04,7.276667,7.526667,7.253334,7.473333,6.916683,11720400
2005-05-05,7.516667,7.713333,7.476666,7.620000,7.052426,15481800
2005-05-06,7.710000,7.726666,7.533333,7.723333,7.148062,8893200
2005-05-09,7.756667,7.920000,7.710000,7.866667,7.280720,18633300
2005-05-10,7.766667,7.770000,7.473333,7.560000,6.996895,18378000
2005-05-11,7.600000,7.633333,7.420000,7.433333,6.879663,13885500
2005-05-12,7.433333,7.696667,7.426667,7.596667,7.030830,20889600
2005-05-13,8.283334,8.490000,7.933333,8.443334,7.814434,66258000
2005-05-16,8.343333,8.530000,8.340000,8.473333,7.842198,16602600
2005-05-17,8.423333,8.606667,8.416667,8.566667,7.928581,15995100
2005-05-18,8.546667,8.650000,8.456667,8.630000,7.987198,13751400
2005-05-19,8.650000,8.686666,8.516666,8.613334,7.971773,11322000
2005-05-20,8.603333,8.770000,8.503333,8.766666,8.113682,12925200
2005-05-23,8.826667,9.060000,8.800000,8.970000,8.301869,17591700
2005-05-24,8.926666,9.130000,8.883333,9.096666,8.419103,13054800
2005-05-25,9.076667,9.123333,8.893333,8.980000,8.311127,13381800
2005-05-26,9.060000,9.303333,9.043333,9.233334,8.545593,19719600
2005-05-27,9.260000,9.260000,9.076667,9.173333,8.490056,8068500
2005-05-31,9.133333,9.210000,8.883333,9.033334,8.360491,19079400
2005-06-01,8.973333,9.283334,8.866667,9.116667,8.437613,19915800
2005-06-02,9.083333,9.456667,9.083333,9.456667,8.752291,17108700
2005-06-03,9.423333,9.510000,9.333333,9.433333,8.730693,13990500
2005-06-06,9.263333,9.446667,9.256667,9.343333,8.647397,12822300
2005-06-07,9.280000,9.433333,9.083333,9.116667,8.437613,24353400
2005-06-08,9.140000,9.266666,8.956667,9.053333,8.378999,15468000
2005-06-09,8.983334,9.436666,8.973333,9.433333,8.730693,15497700
2005-06-10,9.423333,9.433333,9.263333,9.326667,8.631971,11627400
2005-06-13,9.333333,9.796667,9.306666,9.533334,8.823245,35247900
2005-06-14,9.536667,9.693334,8.670000,8.970000,8.301869,60210300
2005-06-15,8.913333,8.983334,8.590000,8.943334,8.277192,41744700
2005-06-16,8.940000,9.050000,8.810000,8.990000,8.320382,12231000
2005-06-17,9.100000,9.116667,8.946667,8.970000,8.301869,11408700
2005-06-20,8.970000,9.166667,8.823334,9.106667,8.428358,15151500
2005-06-21,9.166667,9.236667,9.080000,9.193334,8.508569,10704300
2005-06-22,9.290000,9.353333,9.070000,9.183333,8.499314,17516700
2005-06-23,9.166667,9.440000,9.133333,9.326667,8.631971,20924400
2005-06-24,9.310000,9.313334,8.980000,9.030000,8.357400,11890800
2005-06-27,8.973333,9.046667,8.876667,8.956667,8.289530,8864700
2005-06-28,8.993333,9.073334,8.893333,9.013333,8.341974,6557700
2005-06-29,9.016666,9.033334,8.856667,8.930000,8.264852,7089300
2005-06-30,8.990000,9.073334,8.836667,8.906667,8.243255,14830800
2005-07-01,8.876667,8.960000,8.766666,8.946667,8.280277,7879200
2005-07-05,8.980000,9.123333,8.893333,9.086667,8.409846,9711000
2005-07-06,9.116667,9.370000,9.013333,9.330000,8.635056,17590800
2005-07-07,9.183333,9.333333,9.153334,9.263333,8.573357,11647500
2005-07-08,9.320000,9.410000,9.200000,9.380000,8.681332,10203300
2005-07-11,9.463333,9.616667,9.423333,9.520000,8.810903,9987300
2005-07-12,9.513333,9.540000,9.273334,9.466666,8.761544,14106300
2005-07-13,9.506667,9.533334,9.320000,9.480000,8.773884,14869500
2005-07-14,9.580000,9.766666,9.046667,9.060000,8.385170,46787400
2005-07-15,9.033334,9.060000,8.806666,8.963333,8.295699,30583800
2005-07-18,8.936666,8.940000,8.650000,8.740000,8.089001,26122500
2005-07-19,8.793333,8.880000,8.726666,8.860000,8.200062,12947400
2005-07-20,8.756667,9.030000,8.636666,8.993333,8.323465,13162500
2005-07-21,8.876667,8.916667,8.656667,8.840000,8.181556,14863200
2005-07-22,8.883333,9.010000,8.546667,8.610000,7.968687,17481600
2005-07-25,8.510000,8.926666,8.473333,8.660000,8.014959,24373800
2005-07-26,8.623333,8.853333,8.590000,8.840000,8.181556,18987300
2005-07-27,8.853333,9.060000,8.703333,9.020000,8.348148,20195700
2005-07-28,9.003333,9.133333,8.880000,9.090000,8.412932,10281000
2005-07-29,9.053333,9.150000,8.946667,9.020000,8.348148,8791500
2005-08-01,9.073334,9.196667,9.013333,9.156667,8.474634,9726000
2005-08-02,9.166667,9.310000,9.153334,9.280000,8.588781,10566300
2005-08-03,9.280000,9.366667,9.196667,9.280000,8.588781,12956400
2005-08-04,9.210000,9.250000,9.163333,9.183333,8.499314,8910600
2005-08-05,9.170000,9.436666,9.106667,9.416667,8.715269,17102400
2005-08-08,9.480000,9.656667,9.383333,9.450000,8.746119,18138600
2005-08-09,9.463333,9.486667,9.323334,9.426666,8.724523,7297500
2005-08-10,9.466666,9.513333,9.190000,9.286667,8.594952,11013900
2005-08-11,9.286667,9.433333,9.196667,9.416667,8.715269,17538900
2005-08-12,9.970000,10.070000,9.630000,9.983334,9.239722,57385500
2005-08-15,10.016666,10.340000,9.890000,10.236667,9.474190,22070100
2005-08-16,10.140000,10.230000,9.990000,10.063334,9.313769,15937200
2005-08-17,10.020000,10.186666,10.013333,10.063334,9.313769,15189300
2005-08-18,9.986667,10.036667,9.760000,9.803333,9.073134,20568300
2005-08-19,9.820000,9.850000,9.703333,9.733334,9.008348,10555800
2005-08-22,9.716666,9.873333,9.540000,9.653334,8.934306,13680600
2005-08-23,9.643333,9.766666,9.610000,9.716666,8.992922,6361500
2005-08-24,9.653334,9.930000,9.606667,9.723333,8.999093,12865500
2005-08-25,9.766666,9.843333,9.683333,9.790000,9.060793,7412100
2005-08-26,9.800000,9.800000,9.546667,9.640000,8.921967,8085900
2005-08-29,9.550000,9.666667,9.473333,9.656667,8.937391,8584800
2005-08-30,9.640000,10.026667,9.626667,10.003333,9.258239,23721300
2005-08-31,9.980000,10.353333,9.950000,10.226666,9.464934,22670100
2005-09-01,10.196667,10.323334,10.143333,10.230000,9.468021,13922100
2005-09-02,10.250000,10.250000,10.030000,10.063334,9.313769,11745000
2005-09-06,10.100000,10.200000,9.946667,10.146667,9.390894,10577400
2005-09-07,10.133333,10.496667,10.106667,10.470000,9.690145,14700300
2005-09-08,10.406667,10.723333,10.406667,10.593333,9.804291,16152900
2005-09-09,10.706667,10.753333,10.533334,10.730000,9.930777,11355900
2005-09-12,10.740000,10.773334,10.566667,10.693334,9.896841,13914600
2005-09-13,10.643333,11.070000,10.643333,11.016666,10.196093,21368100
2005-09-14,10.933333,11.080000,10.833333,10.883333,10.072692,12586200
2005-09-15,11.050000,11.200000,10.983334,11.076667,10.251625,18993900
2005-09-16,11.170000,11.230000,10.993333,11.083333,10.257793,12995700
2005-09-19,11.070000,11.106667,10.866667,10.926666,10.112795,10707900
2005-09-20,11.010000,11.263333,10.996667,11.140000,10.310238,13054800
2005-09-21,11.096666,11.316667,10.946667,11.043333,10.220770,15641400
2005-09-22,11.070000,11.070000,10.550000,10.746667,9.946202,18478800
2005-09-23,10.723333,10.996667,10.633333,10.903334,10.091202,7866000
2005-09-26,10.986667,11.070000,10.790000,10.993333,10.174496,10169400
2005-09-27,11.040000,11.136666,10.946667,11.030000,10.208431,10104000
2005-09-28,11.063334,11.126667,10.936666,11.096666,10.270132,8838900
2005-09-29,11.100000,11.333333,11.010000,11.326667,10.483002,12834300
2005-09-30,11.333333,11.530000,11.310000,11.426666,10.575553,11470800
2005-10-03,11.560000,11.823334,11.466666,11.740000,10.865548,13747200
2005-10-04,11.790000,11.983334,11.560000,11.586667,10.723637,12861900
2005-10-05,11.600000,11.600000,11.133333,11.203333,10.368854,14979600
2005-10-06,11.190000,11.363334,10.826667,11.163333,10.331835,17137800
2005-10-07,11.183333,11.296667,10.933333,11.020000,10.199178,13798800
2005-10-10,11.076667,11.096666,10.736667,10.740000,9.940034,11480400
2005-10-11,10.780000,10.873333,10.483334,10.606667,9.816631,13501200
2005-10-12,10.576667,10.896667,10.563334,10.733334,9.933864,16441500
2005-10-13,10.710000,10.726666,10.266666,10.676666,9.881415,12732600
2005-10-14,10.753333,10.886666,10.500000,10.676666,9.881415,7781400
2005-10-17,10.683333,10.886666,10.683333,10.780000,9.977053,6097800
2005-10-18,10.820000,10.840000,10.533334,10.603333,9.813545,7495800
2005-10-19,10.466666,10.530000,10.170000,10.513333,9.730251,15898800
2005-10-20,10.530000,10.806666,10.483334,10.586667,9.798121,8988000
2005-10-21,10.766666,10.800000,10.573334,10.646667,9.853652,7459200
2005-10-24,10.740000,10.936666,10.643333,10.936666,10.122051,7275300
2005-10-25,10.863334,11.040000,10.816667,11.006667,10.186837,8367000
2005-10-26,11.010000,11.033334,10.690000,10.706667,9.909181,10383600
2005-10-27,10.726666,10.760000,10.450000,10.483334,9.702484,5694600
2005-10-28,10.510000,10.826667,10.250000,10.806666,10.001733,11616000
2005-10-31,10.850000,11.260000,10.850000,11.183333,10.350346,10810500
2005-11-01,11.183333,11.266666,10.960000,11.046667,10.223859,10012200
2005-11-02,11.050000,11.700000,11.000000,11.686666,10.816185,13091700
2005-11-03,11.766666,11.833333,11.456667,11.550000,10.689701,11626800
2005-11-04,11.556666,11.583333,11.233334,11.353333,10.507680,14256900
2005-11-07,11.413333,11.453333,11.256667,11.303333,10.461407,9270600
2005-11-08,11.346666,11.356667,11.043333,11.093333,10.267047,13474200
2005-11-09,11.116667,11.666667,10.990000,11.593333,10.729808,20472000
2005-11-10,11.996667,12.256667,10.946667,11.163333,10.331835,62590500
2005-11-11,11.260000,11.480000,11.210000,11.346666,10.501510,13648200
2005-11-14,11.350000,11.666667,11.176666,11.586667,10.723637,12341700
2005-11-15,11.656667,11.766666,11.576667,11.613334,10.748317,12405000
2005-11-16,11.626667,11.690000,11.346666,11.573334,10.711294,11382000
2005-11-17,11.670000,12.096666,11.533334,12.086667,11.186394,17581500
2005-11-18,12.126667,12.226666,11.826667,12.063334,11.164798,11644200
2005-11-21,12.076667,12.296667,11.996667,12.276667,11.362241,11367600
2005-11-22,12.340000,12.723333,12.243333,12.603333,11.664578,18292500
2005-11-23,12.616667,12.750000,12.500000,12.566667,11.630641,10298700
2005-11-25,12.626667,12.710000,12.540000,12.690000,11.744785,2916900
2005-11-28,12.723333,12.833333,12.400000,12.626667,11.686171,10613100
2005-11-29,11.880000,12.216666,11.773334,11.826667,10.945757,26078400
2005-11-30,11.743333,12.110000,11.740000,12.050000,11.152459,14386200
2005-12-01,12.150000,12.250000,12.020000,12.193334,11.285114,14050800
2005-12-02,12.250000,12.280000,12.033334,12.196667,11.288199,8361900
2005-12-05,12.223333,12.223333,11.930000,11.970000,11.078419,9692700
2005-12-06,11.990000,12.183333,11.973333,12.020000,11.124692,9381300
2005-12-07,12.066667,12.140000,11.833333,12.040000,11.143202,8816700
2005-12-08,11.976666,12.133333,11.806666,11.943334,11.053739,9666600
2005-12-09,11.980000,12.130000,11.813334,12.113334,11.211075,6572400
2005-12-12,12.146667,12.316667,12.126667,12.290000,11.374582,7028400
2005-12-13,12.313334,12.556666,12.223333,12.450000,11.522662,11085300
2005-12-14,12.356667,12.416667,12.186666,12.333333,11.414687,7186800
2005-12-15,12.323334,12.416667,12.050000,12.176666,11.269689,8318100
2005-12-16,12.220000,12.336667,12.103333,12.283334,11.368410,26640000
2005-12-19,12.310000,12.400000,12.050000,12.080000,11.180222,7307400
2005-12-20,12.066667,12.250000,11.913333,12.073334,11.174052,7608900
2005-12-21,12.130000,12.230000,11.940000,12.050000,11.152459,7234500
2005-12-22,12.040000,12.430000,12.036667,12.416667,11.491814,7958400
2005-12-23,12.450000,12.530000,12.366667,12.513333,11.581277,5363400
2005-12-27,12.500000,12.726666,12.460000,12.590000,11.652235,9199200
2005-12-28,12.590000,12.746667,12.510000,12.706667,11.760216,6610500
2005-12-29,12.700000,12.740000,12.370000,12.423333,11.497983,7761600
2005-12-30,12.353333,12.356667,12.136666,12.186666,11.278945,5740200
2006-01-03,12.256667,12.833333,12.216666,12.740000,11.791061,11820300
2006-01-04,12.836667,13.116667,12.703333,13.096666,12.121163,12751800
2006-01-05,13.100000,13.416667,13.076667,13.393333,12.395735,16152300
2006-01-06,13.546667,13.663333,13.016666,13.613334,12.599348,15584700
2006-01-09,13.606667,14.066667,13.576667,13.993333,12.951041,14012100
2006-01-10,13.926666,13.996667,13.750000,13.996667,12.954129,8491500
2006-01-11,14.010000,14.583333,13.986667,14.503333,13.423056,15657600
2006-01-12,14.500000,14.723333,14.193334,14.296667,13.231782,12387600
2006-01-13,14.263333,14.380000,13.970000,14.170000,13.114550,10532400
2006-01-17,13.976666,14.166667,13.790000,14.160000,13.105297,8230800
2006-01-18,13.730000,14.280000,13.600000,14.233334,13.173166,11498700
2006-01-19,14.423333,15.220000,14.396667,15.023334,13.904321,22869000
2006-01-20,15.046667,15.220000,14.600000,14.603333,13.515608,11540100
2006-01-23,14.716666,14.810000,14.516666,14.686666,13.592733,8372100
2006-01-24,14.720000,15.066667,14.680000,14.760000,13.660604,9722400
2006-01-25,14.833333,14.930000,14.453333,14.630000,13.540288,10005900
2006-01-26,14.843333,15.143333,14.750000,15.130000,14.003043,11220900
2006-01-27,15.326667,15.586667,15.200000,15.416667,14.268358,9626100
2006-01-30,15.483334,15.500000,15.173333,15.243333,14.107936,7894500
2006-01-31,15.166667,15.250000,14.870000,14.986667,13.870388,9611400
2006-02-01,14.716666,15.056666,14.660000,14.996667,13.879642,11271300
2006-02-02,15.133333,15.143333,14.516666,14.540000,13.456992,11843400
2006-02-03,14.446667,14.853333,14.400000,14.673333,13.580393,12606300
2006-02-06,14.633333,15.103333,14.570000,15.086667,13.962939,9086700
2006-02-07,15.116667,15.116667,14.543333,14.550000,13.466246,9985200
2006-02-08,14.593333,14.970000,14.593333,14.970000,13.854959,9826800
2006-02-09,15.016666,15.250000,14.623333,14.716666,13.620496,10927500
2006-02-10,14.770000,14.836667,14.290000,14.633333,13.543372,10374900
2006-02-13,14.586667,14.786667,14.486667,14.683333,13.589648,7018500
2006-02-14,14.683333,14.763333,14.516666,14.710000,13.614330,8558700
2006-02-15,14.680000,15.033334,14.643333,14.993333,13.876558,12332400
2006-02-16,15.273334,15.766666,15.170000,15.733334,14.561440,32647200
2006-02-17,16.889999,16.906666,15.733334,15.823334,14.644734,58923900
2006-02-21,15.790000,15.816667,15.350000,15.486667,14.333142,17101500
2006-02-22,15.266666,15.583333,14.900000,15.460000,14.308464,23493900
2006-02-23,15.413333,15.516666,15.180000,15.223333,14.089426,9628200
2006-02-24,15.290000,15.473333,15.140000,15.220000,14.086342,10410300
2006-02-27,15.336667,15.933333,15.176666,15.836667,14.657075,16661700
2006-02-28,15.766666,15.900000,15.556666,15.710000,14.539842,14082900
2006-03-01,15.766666,16.400000,15.666667,16.306667,15.092067,17598300
2006-03-02,16.290001,16.559999,16.120001,16.330000,15.113661,13636500
2006-03-03,16.180000,16.670000,16.150000,16.386667,15.166108,14895000
2006-03-06,16.706667,16.816668,16.273333,16.353333,15.135261,13225500
2006-03-07,16.356667,16.483334,15.750000,16.073334,14.876115,15155100
2006-03-08,16.076666,16.160000,15.420000,15.993333,14.802073,16770000
2006-03-09,16.186666,16.456667,16.066668,16.076666,14.879198,13417500
2006-03-10,16.059999,16.263334,15.653334,15.796667,14.620051,13039500
2006-03-13,15.956667,16.063334,15.836667,15.986667,14.795903,9303300
2006-03-14,16.000000,16.496666,15.940000,16.430000,15.206213,15694800
2006-03-15,16.463333,16.716667,16.400000,16.693333,15.449929,12765000
2006-03-16,16.723333,16.743334,16.070000,16.126667,14.925476,14210400
2006-03-17,16.049999,16.299999,15.810000,16.256666,15.045790,15464700
2006-03-20,16.400000,16.403334,16.116667,16.133333,14.931646,7344300
2006-03-21,16.930000,17.233334,16.486666,16.930000,15.668972,30886800
2006-03-22,16.500000,16.580000,16.073334,16.443333,15.218554,28964400
2006-03-23,16.500000,16.816668,16.313334,16.750000,15.502376,16549800
2006-03-24,16.793333,17.346666,16.766666,17.316668,16.026834,17198400
2006-03-27,17.330000,17.796667,17.273333,17.783333,16.458744,16286100
2006-03-28,17.703333,18.293333,17.666666,18.056667,16.711720,19880100
2006-03-29,18.133333,19.059999,17.983334,19.026667,17.609470,24677400
2006-03-30,19.046667,19.260000,18.703333,19.156666,17.729788,26582700
2006-03-31,19.143333,19.410000,18.969999,19.086666,17.664999,20889000
2006-04-03,19.186666,19.566668,18.946667,19.299999,17.862440,24222900
2006-04-04,19.326666,20.233334,19.306667,20.203333,18.698492,30015300
2006-04-05,20.166666,20.466667,19.736666,20.366667,18.849655,27824400
2006-04-06,20.313334,20.559999,20.033333,20.406666,18.886679,19732800
2006-04-07,20.320000,20.500000,19.953333,20.353333,18.837320,17066800
2006-04-10,20.306667,20.426666,19.846666,20.000000,18.510302,15855700
2006-04-11,20.066668,20.066668,19.393333,19.513334,18.059885,17551800
2006-04-12,19.639999,20.406666,19.533333,20.299999,18.787958,14957700
2006-04-13,19.866667,20.093334,19.653334,19.733334,18.263498,18459000
2006-04-17,19.700001,20.280001,19.626667,19.786667,18.312860,11096700
2006-04-18,19.433332,19.440001,18.793333,19.320000,17.880955,29137200
2006-04-19,19.200001,19.653334,18.933332,19.440001,17.992018,12936900
2006-04-20,19.266666,19.760000,18.946667,19.413334,17.967333,13817100
2006-04-21,19.473333,19.553333,18.486666,18.713333,17.319469,19250400
2006-04-24,18.833334,19.473333,18.500000,19.286667,17.850105,16921200
2006-04-25,19.066668,19.320000,18.733334,19.273333,17.837765,17994100
2006-04-26,19.346666,19.639999,18.933332,19.139999,17.714365,8263200
2006-04-27,19.066668,19.626667,18.653334,19.446667,17.998186,11574100
2006-04-28,19.459999,19.726667,19.293333,19.480000,18.029036,7118400
2006-05-01,19.613333,20.980000,19.613333,20.600000,19.065613,22561800
2006-05-02,20.753334,21.000000,20.219999,20.573334,19.040928,13492500
2006-05-03,20.340000,20.933332,20.320000,20.706667,19.164333,9452800
2006-05-04,20.299999,20.799999,20.193333,20.573334,19.040928,12778200
2006-05-05,20.680000,20.926666,20.393333,20.853333,19.300072,8454600
2006-05-08,20.799999,21.253334,20.566668,20.760000,19.213694,12590500
2006-05-09,20.733334,20.840000,20.100000,20.126667,18.627539,14041200
2006-05-10,19.886667,20.120001,19.480000,19.680000,18.214140,18831600
2006-05-11,19.879999,20.066668,18.826666,18.980000,17.566278,30027700
2006-05-12,18.526667,18.620001,17.160000,17.553333,16.245872,39204300
2006-05-15,17.520000,17.959999,17.366667,17.806667,16.480341,13834500
2006-05-16,17.906666,17.913334,17.226667,17.340000,16.048433,12438300
2006-05-17,17.280001,17.379999,16.333334,16.639999,15.400569,21026800
2006-05-18,16.773333,16.933332,15.866667,15.886666,14.703351,17168200
2006-05-19,16.033333,16.600000,15.873333,16.219999,15.011855,23320200
2006-05-22,16.133333,16.166666,15.560000,16.000000,14.808243,18372100
2006-05-23,16.333334,16.713333,15.760000,15.826667,14.647819,13307800
2006-05-24,15.966666,16.506666,15.606667,16.033333,14.839091,14488000
2006-05-25,16.333334,16.573334,15.860000,15.946667,14.758883,10591600
2006-05-26,16.006666,16.113333,15.813334,15.980000,14.789731,7366000
2006-05-30,16.006666,16.013334,15.306666,15.313334,14.172724,11219700
2006-05-31,15.520000,15.666667,15.226666,15.320000,14.178894,14960500
2006-06-01,15.493333,16.120001,15.253333,16.120001,14.919306,13428100
2006-06-02,16.379999,16.459999,15.726666,15.886666,14.703351,16842700
2006-06-05,15.800000,16.093334,15.173333,15.220000,14.086342,14526300
2006-06-06,15.413333,15.426666,14.400000,14.813334,13.709965,20603200
2006-06-07,14.973333,15.000000,14.433333,14.546667,13.463160,14134500
2006-06-08,14.380000,14.566667,13.706667,14.280000,13.216358,18264300
2006-06-09,14.466666,14.713333,14.113334,14.233334,13.173166,10845600
2006-06-12,13.986667,14.173333,13.366667,13.446667,12.445093,11580700
2006-06-13,13.440000,13.713333,13.113334,13.240000,12.253820,13313700
2006-06-14,13.320000,13.666667,13.180000,13.626667,12.611685,12012300
2006-06-15,14.126667,14.866667,14.013333,14.820000,13.716134,20933400
2006-06-16,14.720000,14.760000,14.300000,14.440000,13.364439,12586200
2006-06-19,14.600000,14.673333,13.973333,14.006667,12.963384,9701100
2006-06-20,13.620000,14.100000,13.566667,13.786667,12.759768,13395400
2006-06-21,13.726666,14.160000,13.726666,13.940000,12.901680,11029300
2006-06-22,14.093333,14.133333,13.440000,13.533334,12.525309,13308400
2006-06-23,13.506667,13.820000,13.380000,13.540000,12.531474,8380000
2006-06-26,13.520000,13.666667,13.346666,13.413333,12.414245,7043400
2006-06-27,13.493333,13.506667,12.806666,12.986667,12.019357,15212800
2006-06-28,13.086667,13.920000,12.746667,13.706667,12.685727,20834400
2006-06-29,13.333333,14.326667,13.286667,14.326667,13.259547,17191600
2006-06-30,14.466666,14.693334,14.086667,14.193334,13.136147,11706000
2006-07-03,14.520000,14.533334,14.300000,14.400000,13.327418,4367400
2006-07-05,14.173333,14.300000,13.753333,13.753333,12.728921,11492700
2006-07-06,13.753333,13.886666,13.186666,13.326667,12.334032,11765800
2006-07-07,13.420000,13.446667,12.766666,12.913333,11.951486,13530700
2006-07-10,12.946667,13.040000,12.240000,12.353333,11.433196,11248000
2006-07-11,12.313334,12.813334,12.133333,12.766666,11.815743,15014500
2006-07-12,12.720000,12.866667,12.140000,12.153334,11.248095,11525800
2006-07-13,11.966666,12.266666,11.780000,11.840000,10.958099,13514500
2006-07-14,12.060000,12.126667,11.446667,11.780000,10.902568,14303700
2006-07-17,11.726666,12.006667,11.666667,11.873333,10.988948,12570100
2006-07-18,12.280000,12.646667,11.840000,12.520000,11.587451,24483300
2006-07-19,12.466666,13.226666,12.373333,13.066667,12.093397,26388700
2006-07-20,13.300000,13.533334,12.786667,12.806666,11.852763,12640000
2006-07-21,12.373333,12.426666,11.753333,11.846666,10.964270,15847900
2006-07-24,12.286667,13.340000,12.220000,13.040000,12.068719,24579400
2006-07-25,13.200000,13.640000,13.006667,13.500000,12.494454,14352600
2006-07-26,13.500000,13.660000,13.100000,13.500000,12.494454,12382900
2006-07-27,13.673333,14.233334,13.446667,13.693334,12.673386,17358400
2006-07-28,14.046667,15.140000,13.966666,15.113334,13.987619,20382400
2006-07-31,14.953333,15.106667,14.720000,14.760000,13.660604,14869000
2006-08-01,14.580000,14.606667,13.900000,14.166667,13.111465,15024100
2006-08-02,14.480000,15.326667,14.446667,15.253333,14.117191,18919300
2006-08-03,15.200000,16.626667,14.986667,16.213333,15.005680,22264200
2006-08-04,16.639999,16.666666,15.580000,15.993333,14.802073,20455800
2006-08-07,15.713333,16.006666,15.500000,15.806666,14.629309,10903600
2006-08-08,15.933333,16.566668,15.893333,16.226667,15.018026,15495100
2006-08-09,16.546667,17.000000,16.100000,16.219999,15.011855,14617600
2006-08-10,16.040001,16.200001,15.766666,16.106667,14.906963,26803500
2006-08-11,14.933333,16.006666,14.880000,15.600000,14.438037,40081800
2006-08-14,15.793333,15.953333,15.433333,15.520000,14.363994,20235300
2006-08-15,15.920000,17.100000,15.766666,17.013334,15.746097,22554300
2006-08-16,17.106667,18.306667,16.666666,18.233334,16.875225,25731100
2006-08-17,18.006666,18.480000,17.766666,17.946667,16.609909,20355600
2006-08-18,17.966667,18.333334,17.340000,18.240000,16.881397,16647400
2006-08-21,17.966667,18.000000,17.526667,17.566668,16.258219,12505500
2006-08-22,17.513334,18.026667,17.500000,17.540001,16.233538,11848200
2006-08-23,17.673334,17.853333,17.139999,17.526667,16.221195,12135300
2006-08-24,17.573334,17.799999,17.293333,17.706667,16.387793,6520000
2006-08-25,17.573334,17.966667,17.400000,17.653334,16.338427,5957800
2006-08-28,17.946667,18.780001,17.913334,18.260000,16.899906,19114000
2006-08-29,18.433332,19.173334,18.299999,19.086666,17.664999,18199000
2006-08-30,19.193333,19.680000,19.146667,19.480000,18.029036,17039100
2006-08-31,19.433332,19.520000,18.986666,19.406666,17.961163,12781900
2006-09-01,19.120001,19.273333,18.520000,18.593334,17.208410,15143500
2006-09-05,18.653334,19.073334,18.379999,19.000000,17.584789,13733800
2006-09-06,18.666666,18.693333,18.000000,18.046667,16.702465,12339300
2006-09-07,17.753334,18.813334,17.559999,18.406666,17.035648,18570900
2006-09-08,18.700001,18.780001,18.059999,18.466667,17.091187,11199400
2006-09-11,18.053333,18.966667,17.846666,18.753334,17.356493,14956600
2006-09-12,18.666666,19.366667,18.620001,19.246666,17.813082,12460800
2006-09-13,19.293333,19.653334,19.233334,19.400000,17.954996,11907100
2006-09-14,19.306667,19.666666,19.073334,19.326666,17.887123,10720300
2006-09-15,19.393333,19.799999,19.299999,19.706667,18.238821,16244100
2006-09-18,19.760000,20.486666,19.700001,20.453333,18.929869,19847400
2006-09-19,20.320000,20.466667,19.753334,19.920000,18.436260,17701300
2006-09-20,20.180000,20.673334,20.139999,20.646667,19.108803,12797100
2006-09-21,20.626667,20.833334,20.286667,20.480000,18.954550,13477600
2006-09-22,20.420000,20.546667,19.646667,19.873333,18.393066,16333300
2006-09-25,20.173334,20.673334,19.626667,20.586666,19.053270,17112100
2006-09-26,20.566668,20.620001,19.893333,20.153334,18.652218,12903000
2006-09-27,20.093334,20.733334,19.900000,20.093334,18.596684,14453500
2006-09-28,19.306667,19.793333,19.219999,19.713333,18.244991,16183600
2006-09-29,19.846666,20.000000,19.620001,19.726667,18.257334,9347200
2006-10-02,19.633333,19.760000,19.066668,19.226667,17.794571,16186000
2006-10-03,18.866667,19.013334,18.446667,18.866667,17.461386,22692300
2006-10-04,18.893333,20.726667,18.840000,20.719999,19.176670,36509500
2006-10-05,20.639999,20.846666,20.080000,20.133333,18.633699,16567000
2006-10-06,20.166666,20.833334,20.106667,20.620001,19.084124,14840200
2006-10-09,20.573334,22.219999,20.513334,21.946667,20.311975,23307600
2006-10-10,21.833334,21.920000,21.200001,21.446667,19.849218,15616200
2006-10-11,21.333334,21.946667,21.006666,21.566668,19.960276,12048600
2006-10-12,21.686666,22.100000,21.340000,21.653334,20.040489,10368000
2006-10-13,21.580000,22.639999,21.226667,22.513334,20.836430,14604700
2006-10-16,22.586666,22.953333,22.073334,22.473333,20.799412,11974200
2006-10-17,22.106667,22.260000,21.400000,21.613333,20.003466,13162600
2006-10-18,21.933332,22.166666,20.886667,21.040001,19.472839,20568700
2006-10-19,20.959999,21.600000,20.793333,21.440001,19.843042,11826000
2006-10-20,21.606667,21.620001,20.886667,21.193333,19.614754,8986900
2006-10-23,21.146667,21.660000,21.000000,21.053333,19.485178,7006200
2006-10-24,21.093334,21.906666,21.033333,21.666666,20.052826,12982200
2006-10-25,21.873333,22.200001,21.506666,21.866667,20.237932,9735900
2006-10-26,21.920000,22.633333,21.920000,22.559999,20.879622,9167200
2006-10-27,22.559999,23.059999,21.333334,21.586666,19.978786,14174700
2006-10-30,21.733334,22.233334,21.500000,21.846666,20.219421,11989800
2006-10-31,22.326666,23.246666,22.213333,23.246666,21.515141,24904300
2006-11-01,22.940001,23.153334,21.133333,21.453333,19.855383,29413500
2006-11-02,21.553333,22.020000,21.013334,21.306667,19.719639,21573600
2006-11-03,21.546667,21.760000,21.200001,21.733334,20.114531,13701700
2006-11-06,21.793333,22.693333,21.520000,22.393333,20.725363,18490000
2006-11-07,22.559999,22.973333,22.433332,22.733334,21.040043,13831300
2006-11-08,22.573334,23.346666,22.520000,23.066668,21.348547,16208100
2006-11-09,23.540001,24.133333,23.326666,23.526667,21.774288,30193900
2006-11-10,23.326666,23.440001,22.379999,22.959999,21.249823,32929800
2006-11-13,23.006666,24.066668,23.000000,24.000000,22.212366,21307000
2006-11-14,23.913334,24.286667,23.400000,24.240000,22.434484,15713200
2006-11-15,24.166666,24.500000,23.706667,23.840000,22.064285,12297300
2006-11-16,23.940001,24.233334,23.733334,24.146667,22.348104,11429500
2006-11-17,23.980000,24.280001,23.833334,24.213333,22.409807,9040200
2006-11-20,23.913334,24.573334,23.733334,24.440001,22.619589,15215800
2006-11-21,24.513334,24.553333,23.893333,24.059999,22.267895,9684600
2006-11-22,24.146667,24.500000,24.020000,24.473333,22.650444,6006400
2006-11-24,24.353333,24.706667,24.133333,24.653334,22.817036,3608400
2006-11-27,24.506666,24.833334,23.373333,23.540001,21.786627,14632300
2006-11-28,23.459999,24.193333,23.093334,23.980000,22.193855,12024100
2006-11-29,24.200001,24.626667,24.106667,24.333334,22.520872,14494800
2006-11-30,24.333334,24.860001,24.040001,24.660000,22.823200,14590800
2006-12-01,24.386667,24.420000,23.480000,23.693333,21.928539,19625200
2006-12-04,24.000000,24.959999,23.913334,24.653334,22.817036,15539200
2006-12-05,24.393333,24.540001,24.126667,24.400000,22.582567,16583800
2006-12-06,24.480000,24.480000,24.033333,24.366667,22.551718,11956000
2006-12-07,24.366667,24.500000,23.566668,23.780001,22.008749,12172300
2006-12-08,23.606667,24.026667,23.266666,23.700001,21.934710,14121400
2006-12-11,23.706667,24.393333,23.653334,24.106667,22.311090,12887100
2006-12-12,23.926666,24.006666,23.540001,23.860001,22.082792,14202900
2006-12-13,24.053333,24.333334,24.053333,24.139999,22.341932,12298800
2006-12-14,24.333334,24.873333,24.313334,24.566668,22.736820,17884500
2006-12-15,24.726667,25.000000,24.573334,25.000000,23.137877,18652300
2006-12-18,25.026667,25.733334,25.013334,25.433332,23.538937,17208900
2006-12-19,25.106667,25.933332,25.073334,25.799999,23.878292,13640500
2006-12-20,25.666666,25.973333,25.486666,25.506666,23.606812,7664800
2006-12-21,25.646667,25.719999,25.000000,25.286667,23.403196,9198000
2006-12-22,25.246666,25.333334,24.566668,24.686666,22.847885,9254200
2006-12-26,24.820000,25.040001,24.580000,24.680000,22.841715,5704800
2006-12-27,24.786667,25.093334,24.786667,25.006666,23.144049,6623800
2006-12-28,25.033333,25.059999,24.713333,24.826666,22.977455,5347800
2006-12-29,24.826666,25.346666,24.646667,24.673334,22.835548,9652300
2007-01-03,24.713333,25.013334,23.193333,24.053333,22.261728,28870500
2007-01-04,23.966667,24.053333,23.353333,23.940001,22.156837,19932400
2007-01-05,23.373333,23.466667,22.280001,22.440001,20.768562,31083600
2007-01-08,22.520000,23.040001,22.133333,22.606667,20.922813,16431700
2007-01-09,22.639999,22.793333,22.139999,22.166666,20.515587,19104100
2007-01-10,21.933332,23.466667,21.600000,23.260000,21.527485,27718600
2007-01-11,23.260000,23.440001,22.793333,23.173334,21.447273,23112600
2007-01-12,22.826666,23.580000,22.719999,23.486666,21.737265,17454700
2007-01-16,23.666666,23.680000,23.260000,23.526667,21.774288,17796600
2007-01-17,23.200001,23.340000,22.946667,23.033333,21.317699,17698300
2007-01-18,22.833334,22.833334,20.840000,21.126667,19.553049,37540900
2007-01-19,20.900000,21.693333,20.753334,21.253334,19.670282,23565100
2007-01-22,21.453333,21.799999,21.173334,21.253334,19.670282,18266100
2007-01-23,21.153334,21.600000,20.760000,21.260000,19.676455,15758800
2007-01-24,21.533333,22.206667,21.433332,21.920000,20.287294,17143000
2007-01-25,22.120001,22.200001,21.046667,21.153334,19.577732,15407100
2007-01-26,21.333334,21.540001,20.600000,20.980000,19.417307,20739600
2007-01-29,20.886667,20.900000,19.940001,20.120001,18.621368,31457100
2007-01-30,20.253334,20.639999,20.073334,20.506666,18.979227,15904300
2007-01-31,20.406666,20.626667,20.153334,20.433332,18.911362,11699400
2007-02-01,20.240000,20.799999,20.200001,20.693333,19.151989,16272400
2007-02-02,20.806667,21.333334,20.633333,21.233334,19.651770,14664700
2007-02-05,21.333334,21.760000,21.299999,21.580000,19.972612,14497600
2007-02-06,22.066668,22.626667,21.740000,22.346666,20.682180,19384600
2007-02-07,22.526667,23.273333,22.393333,23.219999,21.490459,19026400
2007-02-08,22.866667,23.246666,22.666666,22.920000,21.212803,18156900
2007-02-09,23.033333,23.226667,21.680000,21.766666,20.145384,23448900
2007-02-12,21.926666,22.719999,21.693333,22.246666,20.589626,19734000
2007-02-13,22.606667,22.846666,22.379999,22.666666,20.978340,21243300
2007-02-14,22.866667,23.000000,22.313334,22.366667,20.700691,27046200
2007-02-15,22.353333,22.613333,22.139999,22.500000,20.824089,12217000
2007-02-16,22.406666,22.433332,21.746666,21.813334,20.188572,22876500
2007-02-20,21.846666,22.126667,21.693333,22.006666,20.367502,15639400
2007-02-21,21.826666,22.059999,21.459999,21.680000,20.065166,16383300
2007-02-22,22.020000,22.373333,21.766666,21.820000,20.194742,16386300
2007-02-23,22.026667,22.040001,21.760000,21.766666,20.145384,10076200
2007-02-26,21.826666,21.993334,21.400000,21.433332,19.836874,12351700
2007-02-27,21.200001,21.700001,20.753334,20.786667,19.238379,17865700
2007-02-28,20.726667,21.113333,20.473333,20.666666,19.127317,19501200
2007-03-01,20.219999,20.793333,19.953333,20.413334,18.892847,20930700
2007-03-02,20.233334,20.480000,19.806667,19.846666,18.368387,17068200
2007-03-05,19.500000,19.886667,19.106667,19.173334,17.745213,16588900
2007-03-06,19.593334,20.526667,19.513334,20.306667,18.794128,20149300
2007-03-07,20.206667,20.299999,19.646667,19.733334,18.263498,20291400
2007-03-08,20.146667,20.773333,20.133333,20.546667,19.016249,19265500
2007-03-09,20.833334,21.066668,20.106667,20.340000,18.824976,13882600
2007-03-12,20.106667,20.513334,20.080000,20.219999,18.713917,10700200
2007-03-13,20.013334,20.133333,19.353333,19.366667,17.924143,15426700
2007-03-14,19.420000,19.533333,18.693333,19.273333,17.837765,24290200
2007-03-15,19.226667,19.400000,18.786667,19.080000,17.658825,16393800
2007-03-16,19.093334,19.126667,18.766666,18.900000,17.492239,13141200
2007-03-19,19.000000,19.299999,18.933332,18.993334,17.578619,11537700
2007-03-20,18.933332,19.366667,18.826666,18.900000,17.492239,16412200
2007-03-21,19.666666,20.293333,19.293333,19.980000,18.491789,31709400
2007-03-22,20.000000,20.540001,19.906666,20.420000,18.899019,20273800
2007-03-23,20.266666,20.626667,20.046667,20.193333,18.689236,13116000
2007-03-26,20.206667,20.400000,19.866667,20.233334,18.726255,11183400
2007-03-27,20.186666,20.226667,19.833334,19.853333,18.374561,11725500
2007-03-28,19.686666,19.853333,19.440001,19.473333,18.022863,11487600
2007-03-29,19.766666,19.793333,18.820000,19.133333,17.708191,17975400
2007-03-30,19.393333,19.533333,19.086666,19.186666,17.757547,14531100
2007-04-02,19.139999,19.299999,18.853333,19.166666,17.739037,10020700
2007-04-03,19.166666,19.379999,18.913334,19.093334,17.671169,11843100
2007-04-04,19.066668,19.219999,19.000000,19.053333,17.634150,9042300
2007-04-05,19.133333,20.620001,19.133333,20.600000,19.065613,33322500
2007-04-09,20.600000,20.833334,20.186666,20.226667,18.720093,16023700
2007-04-10,20.200001,20.433332,19.980000,20.020000,18.528816,19855500
2007-04-11,20.059999,20.260000,19.593334,19.660000,18.195627,20253700
2007-04-12,19.553333,20.280001,19.426666,20.219999,18.713917,18591000
2007-04-13,20.153334,20.426666,19.906666,20.386667,18.868170,15967300
2007-04-16,20.333334,20.486666,20.020000,20.280001,18.769444,16795900
2007-04-17,20.793333,21.266666,20.373333,20.473333,18.948380,26477700
2007-04-18,20.440001,20.906666,20.333334,20.726667,19.182840,17095000
2007-04-19,20.559999,21.133333,20.500000,21.013334,19.448162,14201400
2007-04-20,21.320000,21.333334,20.980000,21.260000,19.676455,14751300
2007-04-23,21.160000,21.200001,20.853333,20.913334,19.355606,14881800
2007-04-24,21.266666,21.893333,21.126667,21.700001,20.083681,25702200
2007-04-25,21.666666,22.193333,21.566668,22.073334,20.429199,12741000
2007-04-26,22.073334,22.513334,21.873333,22.346666,20.682180,12501700
2007-04-27,22.273333,22.520000,21.693333,22.046667,20.404524,13851400
2007-04-30,22.346666,22.626667,21.920000,21.926666,20.293461,14084700
2007-05-01,22.326666,22.473333,21.980000,22.160000,20.509415,13613800
2007-05-02,22.273333,22.366667,21.786667,21.900000,20.268782,16491400
2007-05-03,22.106667,22.459999,22.066668,22.313334,20.651331,12506200
2007-05-04,22.433332,22.586666,22.219999,22.473333,20.799412,10131100
2007-05-07,22.799999,23.053333,22.000000,22.026667,20.386017,13927500
2007-05-08,21.893333,22.246666,21.466667,22.193333,20.540264,18427500
2007-05-09,22.033333,22.420000,21.780001,22.293333,20.632811,10446700
2007-05-10,22.386667,22.680000,21.686666,21.879999,20.250271,20064600
2007-05-11,23.059999,23.653334,22.706667,23.426666,21.681732,38265700
2007-05-14,23.333334,23.553333,22.973333,23.193333,21.465778,18289200
2007-05-15,23.260000,23.400000,22.933332,22.986666,21.274508,15534000
2007-05-16,23.006666,23.280001,22.566668,23.280001,21.545996,13077600
2007-05-17,23.213333,23.333334,22.760000,22.893333,21.188129,11091600
2007-05-18,23.066668,23.413334,22.873333,23.346666,21.607698,15106600
2007-05-21,23.280001,24.000000,23.166666,23.420000,21.675570,16144200
2007-05-22,23.440001,23.760000,23.059999,23.546667,21.792795,10043400
2007-05-23,23.559999,23.700001,22.853333,22.920000,21.212803,11206200
2007-05-24,23.026667,23.093334,22.000000,22.093334,20.447718,15195000
2007-05-25,22.253334,22.553333,22.186666,22.440001,20.768562,7724400
2007-05-29,22.346666,22.753334,22.280001,22.680000,20.990686,7906000
2007-05-30,22.413334,22.733334,22.133333,22.733334,21.040043,8291200
2007-05-31,22.900000,23.233334,22.793333,23.093334,21.373234,12039300
2007-06-01,23.353333,23.700001,23.213333,23.253334,21.521315,10727100
2007-06-04,23.040001,23.513334,22.946667,23.379999,21.638540,8050000
2007-06-05,23.446667,24.113333,23.406666,24.073334,22.280233,17464600
2007-06-06,23.906666,24.639999,23.806667,24.253334,22.446831,23768400
2007-06-07,24.139999,24.500000,23.986666,23.993334,22.206194,19796500
2007-06-08,23.793333,24.400000,23.500000,24.366667,22.551718,13331700
2007-06-11,24.366667,24.600000,24.233334,24.453333,22.631927,10865800
2007-06-12,24.326666,24.666666,24.186666,24.200001,22.397467,13169200
2007-06-13,24.466667,24.786667,24.153334,24.780001,22.934269,14680800
2007-06-14,24.666666,25.313334,24.633333,25.219999,23.341492,12713700
2007-06-15,25.506666,26.566668,25.500000,26.366667,24.402748,27049900
2007-06-18,26.633333,26.726667,26.166666,26.379999,24.415089,17141500
2007-06-19,26.213333,26.606667,26.033333,26.546667,24.569338,12298800
2007-06-20,26.666666,26.799999,26.393333,26.573334,24.594023,20569800
2007-06-21,27.086666,28.886667,26.879999,28.653334,26.519094,32433100
2007-06-22,28.666666,29.246666,28.233334,29.080000,26.913984,22065400
2007-06-25,28.266666,28.959999,28.006666,28.313334,26.204422,20492500
2007-06-26,28.240000,28.320000,26.933332,27.000000,24.988909,21712000
2007-06-27,27.000000,27.760000,26.866667,27.726667,25.661451,15328500
2007-06-28,27.806667,28.293333,27.533333,27.993334,25.908258,14938300
2007-06-29,28.180000,28.186666,27.526667,27.540001,25.488688,12914200
2007-07-02,27.933332,28.700001,27.846666,28.686666,26.549942,14096200
2007-07-03,28.666666,28.959999,28.433332,28.733334,26.593134,5969200
2007-07-05,28.740000,29.133333,28.600000,29.040001,26.876961,9332200
2007-07-06,29.000000,29.293333,28.946667,29.180000,27.006531,7068000
2007-07-09,29.286667,30.166666,29.280001,30.026667,27.790138,13419600
2007-07-10,29.873333,30.500000,29.553333,30.320000,28.061621,13816300
2007-07-11,30.313334,30.520000,29.766666,30.186666,27.938221,14565300
2007-07-12,30.400000,30.799999,30.186666,30.766666,28.475014,10968300
2007-07-13,30.680000,31.046667,30.546667,30.580000,28.302254,9315700
2007-07-16,30.606667,31.260000,30.600000,31.133333,28.814375,13542700
2007-07-17,31.260000,31.886667,30.973333,31.000000,28.690969,16095300
2007-07-18,30.553333,30.646667,29.833334,30.433332,28.166508,13766400
2007-07-19,30.866667,31.020000,30.186666,30.400000,28.135658,10184400
2007-07-20,30.600000,30.706667,29.920000,30.066668,27.827160,12641200
2007-07-23,29.959999,30.986666,29.893333,30.366667,28.104807,9011800
2007-07-24,30.246666,30.500000,29.379999,29.566668,27.364401,11439000
2007-07-25,29.573334,29.993334,28.746666,29.426666,27.234827,10929900
2007-07-26,29.113333,29.986666,28.719999,29.573334,27.370569,17756700
2007-07-27,29.500000,30.860001,29.486666,29.500000,27.302696,15387000
2007-07-30,29.606667,30.373333,29.600000,30.326666,28.067789,13453900
2007-07-31,31.526667,31.953333,30.466667,30.506666,28.234383,17787300
2007-08-01,30.066668,30.806667,28.866667,30.280001,28.024597,17645700
2007-08-02,30.626667,30.653334,29.740000,30.146667,27.901197,11715100
2007-08-03,30.046667,30.266666,28.346666,28.360001,26.247610,15585300
2007-08-06,28.600000,28.813334,27.799999,28.600000,26.469730,13118100
2007-08-07,28.600000,29.526667,28.219999,29.053333,26.889301,14144100
2007-08-08,29.580000,31.299999,29.353333,30.393333,28.129488,16518600
2007-08-09,30.600000,31.600000,29.900000,30.753334,28.462675,31295800
2007-08-10,28.233334,29.526667,27.593334,29.326666,27.142271,28525300
2007-08-13,29.559999,29.760000,28.400000,29.006666,26.846111,17510200
2007-08-14,29.206667,30.600000,29.120001,30.133333,27.888857,27304300
2007-08-15,29.973333,30.400000,28.820000,28.860001,26.710367,17378500
2007-08-16,28.573334,28.780001,27.000000,28.379999,26.266119,19500700
2007-08-17,29.166666,30.080000,28.260000,30.053333,27.814814,18217800
2007-08-20,30.073334,30.400000,29.566668,29.933332,27.703754,12992100
2007-08-21,30.113333,31.793333,29.666666,31.553333,29.203089,17883400
2007-08-22,32.353333,32.459999,31.700001,32.273335,29.869459,14153800
2007-08-23,32.426666,32.806667,31.860001,32.000000,29.616486,16699600
2007-08-24,31.906666,32.226665,31.673334,32.166668,29.770739,9041100
2007-08-27,32.166668,33.233334,32.020000,32.893333,30.443283,15898600
2007-08-28,33.000000,33.133335,30.813334,30.886667,28.586077,14000500
2007-08-29,31.533333,32.680000,31.466667,32.639999,30.208818,13464000
2007-08-30,32.326668,33.259998,32.313332,32.453335,30.036053,11641500
2007-08-31,33.133335,34.233334,32.953335,34.106667,31.566244,18020800
2007-09-04,34.259998,35.306667,33.726665,35.160000,32.541119,17081700
2007-09-05,35.006668,36.000000,34.866665,34.893333,32.294312,16406800
2007-09-06,35.326668,35.646667,34.900002,35.046665,32.436222,10637400
2007-09-07,34.073334,34.426666,33.113335,33.766666,31.251554,15057600
2007-09-10,34.500000,35.099998,33.580002,33.860001,31.337944,21802800
2007-09-11,34.270000,34.840000,33.910000,34.580002,32.004322,10135600
2007-09-12,34.950001,35.119999,32.880001,33.220001,30.745615,13861300
2007-09-13,33.849998,33.889999,32.990002,33.230000,30.754866,11321600
2007-09-14,32.900002,32.939999,32.150002,32.250000,29.847864,12182700
2007-09-17,32.299999,32.639999,31.830000,32.180000,29.783079,9370700
2007-09-18,32.520000,35.500000,32.470001,35.000000,32.393028,21118500
2007-09-19,35.320000,36.000000,34.020000,34.360001,31.800695,13034000
2007-09-20,34.380001,34.750000,33.779999,34.160000,31.615599,8104300
2007-09-21,34.500000,35.000000,34.160000,34.490002,31.921015,11438300
2007-09-24,34.700001,35.900002,34.450001,35.369999,32.735474,11409000
2007-09-25,35.160000,35.970001,35.060001,35.820000,33.151951,9018700
2007-09-26,36.000000,36.750000,35.910000,36.669998,33.938637,12950800
2007-09-27,37.020000,37.200001,36.389999,36.779999,34.040443,9457000
2007-09-28,37.000000,37.130001,36.160000,36.240002,33.540680,10107300
2007-10-01,36.549999,37.950001,36.509998,37.770000,34.956703,9955000
2007-10-02,37.680000,37.750000,36.860001,37.410000,34.623516,7124000
2007-10-03,36.750000,36.750000,35.230000,35.820000,33.151951,11679900
2007-10-04,35.779999,36.189999,34.750000,35.980000,33.300037,9474400
2007-10-05,36.549999,37.130001,36.160000,36.930000,34.179276,8621000
2007-10-08,37.189999,37.590000,36.750000,37.529999,34.734581,6312100
2007-10-09,37.529999,37.700001,36.320000,36.869999,34.123737,10075200
2007-10-10,37.119999,37.119999,36.020000,36.910000,34.160778,9728400
2007-10-11,36.570000,37.029999,34.869999,35.270000,32.642914,13227600
2007-10-12,35.660000,36.130001,35.110001,36.130001,33.438854,10248800
2007-10-15,36.250000,36.860001,36.080002,36.389999,33.679497,8897500
2007-10-16,36.349998,37.369999,36.220001,36.720001,33.984913,6909000
2007-10-17,38.150002,39.650002,38.110001,39.540001,36.594883,17948600
2007-10-18,39.410000,39.669998,38.419998,39.509998,36.567104,8515500
2007-10-19,39.419998,39.439999,37.380001,37.389999,34.605000,12644200
2007-10-22,37.150002,39.240002,36.849998,39.160000,36.243172,13441400
2007-10-23,39.669998,39.669998,38.279999,39.349998,36.419018,7357300
2007-10-24,38.500000,38.500000,36.150002,38.020000,35.188091,14137500
2007-10-25,36.849998,37.200001,33.590000,34.700001,32.115383,20154800
2007-10-26,35.799999,36.040001,33.900002,34.400002,31.837725,15414500
2007-10-29,33.220001,33.750000,32.560001,33.590000,31.088053,20347400
2007-10-30,33.860001,35.529999,33.299999,34.820000,32.226440,13130300
2007-10-31,35.029999,35.400002,33.939999,35.380001,32.744732,11379700
2007-11-01,34.830002,36.090000,34.349998,35.380001,32.744732,14680900
2007-11-02,35.869999,37.000000,35.369999,36.740002,34.003422,12296100
2007-11-05,36.430000,37.619999,36.200001,36.740002,34.003422,10915900
2007-11-06,37.090000,38.200001,36.919998,37.900002,35.077026,13865500
2007-11-07,37.880001,38.029999,35.799999,36.099998,33.411098,13669200
2007-11-08,35.750000,36.400002,32.810001,33.840000,31.319435,24920600
2007-11-09,34.549999,34.799999,32.650002,33.360001,30.875193,21776400
2007-11-12,33.349998,33.590000,30.030001,30.030001,27.793217,17893300
2007-11-13,30.520000,32.709999,30.030001,32.680000,30.245836,18167400
2007-11-14,33.509998,33.830002,32.000000,32.169998,29.773821,16668000
2007-11-15,31.959999,32.259998,31.000000,31.740000,29.375851,12410900
2007-11-16,32.000000,32.540001,31.740000,32.450001,30.032969,10589800
2007-11-19,31.990000,32.150002,30.090000,30.260000,28.006086,14210300
2007-11-20,30.830000,30.879999,29.110001,30.030001,27.793217,15565700
2007-11-21,29.400000,30.420000,29.309999,29.709999,27.497055,16211300
2007-11-23,29.920000,30.350000,29.540001,30.219999,27.969067,3549400
2007-11-26,30.200001,30.820000,29.459999,29.520000,27.321207,9647400
2007-11-27,29.940001,30.879999,29.709999,30.790001,28.496613,11471400
2007-11-28,31.760000,33.290001,31.610001,32.849998,30.403172,14363700
2007-11-29,32.799999,34.099998,32.660000,33.119999,30.653063,12227100
2007-11-30,34.200001,34.200001,31.440001,31.540001,29.190750,16316400
2007-12-03,32.000000,32.590000,31.510000,32.000000,29.616486,12267200
2007-12-04,32.139999,32.250000,31.350000,31.969999,29.588720,9292800
2007-12-05,33.189999,34.250000,32.779999,33.630001,31.125072,16667600
2007-12-06,33.549999,34.419998,33.250000,34.310001,31.754421,9278800
2007-12-07,34.450001,34.490002,33.529999,33.880001,31.356447,8007300
2007-12-10,33.990002,34.650002,33.889999,34.250000,31.698889,8409000
2007-12-11,34.980000,35.619999,34.209999,34.290001,31.735918,14560900
2007-12-12,35.740002,36.090000,34.779999,35.470001,32.828026,15437600
2007-12-13,35.040001,35.270000,33.480000,34.500000,31.930283,12509100
2007-12-14,34.340000,35.450001,34.110001,35.070000,32.457817,8850400
2007-12-17,34.700001,35.029999,33.200001,33.279999,30.801138,12685200
2007-12-18,33.790001,34.500000,33.450001,34.130001,31.587835,9922400
2007-12-19,34.009998,34.770000,33.869999,34.450001,31.884001,6338400
2007-12-20,35.000000,35.250000,34.270000,35.169998,32.550365,6998500
2007-12-21,35.590000,35.900002,34.840000,35.160000,32.541119,10835200
2007-12-24,35.419998,35.950001,35.160000,35.779999,33.114941,2600200
2007-12-26,35.849998,36.259998,35.500000,36.259998,33.559174,5383500
2007-12-27,36.200001,36.400002,35.049999,35.139999,32.522606,6034200
2007-12-28,35.080002,35.500000,34.490002,34.790001,32.198673,6551600
2007-12-31,34.509998,35.139999,34.009998,34.020000,31.486027,6905900
2008-01-02,34.119999,34.250000,32.560001,33.009998,30.551252,12099100
2008-01-03,33.200001,33.860001,32.630001,32.750000,30.310623,11882700
2008-01-04,31.770000,31.930000,29.799999,30.000000,27.765457,18402300
2008-01-07,30.200001,30.450001,26.350000,26.900000,24.896360,25170000
2008-01-08,27.049999,29.290001,26.420000,27.469999,25.423901,27673900
2008-01-09,27.840000,28.900000,27.430000,28.889999,26.738134,18525900
2008-01-10,28.100000,28.740000,27.730000,28.290001,26.182819,13860800
2008-01-11,27.620001,28.200001,26.850000,27.049999,25.035185,14315300
2008-01-14,27.450001,28.889999,27.010000,28.850000,26.701115,13479700
2008-01-15,27.750000,28.080000,26.260000,26.730000,24.739016,18142300
2008-01-16,25.049999,25.360001,23.160000,23.709999,21.943970,36611800
2008-01-17,24.080000,24.719999,23.240000,23.299999,21.564501,28347500
2008-01-18,23.370001,24.969999,22.520000,24.840000,22.989794,23010700
2008-01-22,22.469999,24.180000,22.330000,23.600000,21.842157,17727300
2008-01-23,22.639999,24.740000,22.420000,24.030001,22.240126,23247000
2008-01-24,24.500000,25.879999,24.270000,25.870001,23.943081,14927300
2008-01-25,26.860001,27.459999,24.830000,24.950001,23.091604,17200300
2008-01-28,24.860001,25.110001,24.120001,24.650000,22.813946,14440200
2008-01-29,25.090000,25.510000,24.440001,25.410000,23.517345,10362100
2008-01-30,25.000000,25.570000,24.469999,25.190001,23.313725,13261900
2008-01-31,24.639999,25.049999,23.830000,24.590000,22.758421,14717700
2008-02-01,24.540001,27.000000,24.330000,26.860001,24.859343,14827600
2008-02-04,27.440001,27.590000,25.879999,26.020000,24.081909,14128200
2008-02-05,25.500000,25.510000,24.379999,24.389999,22.573315,12373200
2008-02-06,24.650000,25.330000,23.860001,24.309999,22.499277,13934500
2008-02-07,23.610001,25.240000,23.100000,24.549999,22.721399,16603200
2008-02-08,24.320000,25.180000,24.000000,24.990000,23.128624,9848300
2008-02-11,25.200001,25.610001,24.900000,25.070000,23.202663,12593300
2008-02-12,25.450001,26.360001,25.309999,26.000000,24.063395,15242200
2008-02-13,26.200001,27.100000,25.920000,27.020000,25.007423,18557800
2008-02-14,26.230000,26.250000,22.549999,22.610001,20.925894,54607400
2008-02-15,22.520000,23.129999,21.910000,22.270000,20.611221,20434100
2008-02-19,22.680000,22.719999,21.750000,21.940001,20.305799,13965200
2008-02-20,21.299999,22.100000,21.209999,21.780001,20.157722,18975400
2008-02-21,22.000000,22.110001,21.160000,21.290001,19.704216,16106800
2008-02-22,21.459999,22.360001,21.299999,22.320000,20.657497,18076300
2008-02-25,22.299999,22.559999,21.719999,22.309999,20.648235,16794600
2008-02-26,22.180000,22.840000,21.840000,22.500000,20.824089,14135500
2008-02-27,22.389999,23.030001,22.250000,22.850000,21.148024,13445400
2008-02-28,22.650000,22.690001,21.990000,21.990000,20.352079,12590200
2008-02-29,21.629999,21.920000,21.299999,21.389999,19.796770,13514400
2008-03-03,21.360001,21.510000,20.860001,21.139999,19.565390,11225700
2008-03-04,21.000000,21.040001,20.110001,20.930000,19.371033,19472200
2008-03-05,21.129999,21.670000,20.910000,21.170000,19.593159,16116400
2008-03-06,20.910000,21.049999,19.809999,19.840000,18.362219,26882100
2008-03-07,19.480000,20.320000,19.000000,19.549999,18.093821,19187500
2008-03-10,19.309999,19.549999,18.400000,18.430000,17.057243,19402500
2008-03-11,19.000000,19.230000,18.240000,19.040001,17.621805,21448500
2008-03-12,19.219999,19.389999,18.360001,18.520000,17.140541,18583000
2008-03-13,18.230000,19.980000,18.120001,19.700001,18.232649,30513200
2008-03-14,19.799999,19.820000,18.180000,18.320000,16.955439,28874300
2008-03-17,17.520000,18.480000,17.309999,17.860001,16.529703,20023800
2008-03-18,18.280001,19.000000,17.760000,18.969999,17.557016,26881400
2008-03-19,18.530001,18.790001,17.660000,17.660000,16.344597,22011900
2008-03-20,17.870001,18.559999,17.549999,18.520000,17.140541,15836500
2008-03-24,18.930000,20.139999,18.860001,20.030001,18.538071,22186000
2008-03-25,20.120001,20.700001,19.930000,20.320000,18.806469,18384700
2008-03-26,20.049999,20.190001,19.450001,19.670000,18.204885,18041300
2008-03-27,19.370001,19.920000,19.070000,19.389999,17.945732,15032700
2008-03-28,19.740000,20.190001,19.540001,19.680000,18.214140,14044700
2008-03-31,19.889999,20.260000,19.540001,19.790001,18.315941,14249800
2008-04-01,20.379999,21.049999,20.090000,21.000000,19.435820,16921800
2008-04-02,21.059999,21.059999,20.200001,20.360001,18.843487,15413400
2008-04-03,20.190001,20.219999,19.389999,19.980000,18.491789,21049600
2008-04-04,19.580000,19.680000,18.730000,18.780001,17.381182,38388200
2008-04-07,19.240000,19.520000,19.080000,19.230000,17.797657,18237400
2008-04-08,19.000000,19.740000,19.000000,19.120001,17.695854,15986900
2008-04-09,19.340000,19.700001,19.160000,19.500000,18.047544,16880800
2008-04-10,19.709999,20.510000,19.290001,19.879999,18.399239,27304600
2008-04-11,19.500000,19.620001,18.410000,18.530001,17.149796,27657000
2008-04-14,18.459999,18.500000,17.799999,17.910000,16.575975,19500100
2008-04-15,18.000000,18.190001,17.610001,18.120001,16.770340,10997900
2008-04-16,18.809999,19.080000,18.480000,18.840000,17.436707,16170900
2008-04-17,17.969999,18.650000,17.959999,18.580000,17.196070,14924200
2008-04-18,19.150000,19.320000,18.760000,19.020000,17.603296,14338500
2008-04-21,18.870001,20.000000,18.870001,19.870001,18.389984,16997300
2008-04-22,19.510000,19.719999,19.080000,19.500000,18.047544,14691700
2008-04-23,19.770000,20.660000,19.510000,20.440001,18.917532,25512400
2008-04-24,20.559999,20.660000,19.650000,19.950001,18.464027,16394100
2008-04-25,20.139999,20.200001,19.510000,20.150000,18.649128,13805200
2008-04-28,20.059999,20.360001,19.709999,19.790001,18.315941,13392500
2008-04-29,19.570000,20.450001,19.570000,20.200001,18.695410,14335200
2008-04-30,20.440001,20.770000,20.299999,20.549999,19.019335,26708000
2008-05-01,20.799999,21.549999,20.700001,21.500000,19.898571,25365600
2008-05-02,22.090000,22.520000,21.760000,22.520000,20.842598,28275400
2008-05-05,22.370001,22.469999,21.910000,21.959999,20.324314,23584800
2008-05-06,21.900000,22.580000,21.559999,22.530001,20.851856,18225900
2008-05-07,22.590000,22.889999,21.820000,22.010000,20.370594,17890800
2008-05-08,22.180000,22.250000,21.010000,21.950001,20.315060,34000000
2008-05-09,22.010000,23.430000,21.969999,22.530001,20.851856,50758800
2008-05-12,22.820000,22.820000,21.670000,21.889999,20.259523,25166300
2008-05-13,22.000000,22.000000,21.280001,21.440001,19.843042,21352700
2008-05-14,21.709999,22.639999,21.440001,22.070000,20.426119,18778700
2008-05-15,22.020000,23.879999,21.920000,23.780001,22.008749,29136600
2008-05-16,24.180000,24.459999,23.629999,24.410000,22.591824,27288900
2008-05-19,24.420000,25.309999,23.730000,23.900000,22.119810,28963300
2008-05-20,23.250000,23.520000,23.010000,23.280001,21.545996,19285100
2008-05-21,23.340000,24.240000,23.040001,23.090000,21.370148,26666500
2008-05-22,23.420000,23.840000,23.049999,23.650000,21.888437,17327700
2008-05-23,23.610001,23.799999,22.770000,23.110001,21.388655,20066800
2008-05-27,23.150000,23.389999,22.709999,23.360001,21.620035,20821400
2008-05-28,24.000000,24.059999,23.309999,23.580000,21.823645,18793400
2008-05-29,23.590000,23.629999,23.090000,23.520000,21.768116,17336500
2008-05-30,24.190001,24.780001,24.120001,24.700001,22.860229,20756100
2008-06-02,24.700001,24.990000,24.430000,24.799999,22.952778,18366500
2008-06-03,24.879999,24.920000,23.670000,23.959999,22.175343,21017400
2008-06-04,23.430000,24.290001,23.299999,24.240000,22.434484,20793100
2008-06-05,25.080000,25.350000,24.570000,24.850000,22.999048,20696500
2008-06-06,24.549999,24.580000,23.920000,24.059999,22.267895,19621900
2008-06-09,23.920000,24.250000,23.209999,23.690001,21.925455,15947900
2008-06-10,23.049999,23.080000,22.139999,22.290001,20.629730,30630200
2008-06-11,22.290001,22.830000,21.219999,21.250000,19.667194,24985700
2008-06-12,21.730000,22.150000,21.200001,21.379999,19.787516,20649800
2008-06-13,21.410000,21.660000,20.680000,21.309999,19.722723,17643700
2008-06-16,21.080000,21.280001,20.850000,21.020000,19.454330,15762400
2008-06-17,21.320000,21.330000,20.459999,20.510000,18.982315,17197800
2008-06-18,20.299999,21.000000,19.580000,19.910000,18.427010,26631800
2008-06-19,20.020000,20.299999,19.379999,19.860001,18.380733,19623200
2008-06-20,19.420000,19.980000,19.410000,19.760000,18.288177,18525200
2008-06-23,19.910000,19.930000,19.180000,19.350000,17.908716,19415400
2008-06-24,19.240000,20.450001,19.240000,19.990000,18.501047,26973200
2008-06-25,20.299999,20.450001,19.780001,20.100000,18.602858,22524400
2008-06-26,19.500000,19.650000,19.070000,19.070000,17.649570,21138300
2008-06-27,19.150000,19.389999,18.709999,19.280001,17.843933,14603500
2008-06-30,19.059999,19.230000,18.590000,18.719999,17.325642,16348500
2008-07-01,18.500000,18.770000,18.160000,18.750000,17.353405,22036600
2008-07-02,18.660000,18.780001,18.000000,18.030001,16.687037,19079900
2008-07-03,12.980000,13.130000,12.400000,12.490000,11.559683,74688000
2008-07-07,12.680000,12.760000,11.760000,12.100000,11.198733,55067300
2008-07-08,12.180000,12.480000,11.800000,12.030000,11.133947,45132200
2008-07-09,12.060000,12.240000,11.820000,11.820000,10.939589,35329200
2008-07-10,11.880000,12.020000,11.570000,11.790000,10.911822,26424800
2008-07-11,11.550000,11.960000,11.320000,11.670000,10.800762,20194000
2008-07-14,11.760000,11.850000,11.060000,11.140000,10.310238,22057900
2008-07-15,11.040000,11.490000,10.700000,11.260000,10.421299,28062100
2008-07-16,11.300000,11.620000,10.990000,11.320000,10.476832,25859800
2008-07-17,11.500000,11.500000,10.920000,11.360000,10.513852,21552000
2008-07-18,11.280000,11.630000,10.960000,11.560000,10.698956,22493000
2008-07-21,11.740000,11.910000,11.530000,11.630000,10.763742,14290900
2008-07-22,11.520000,11.570000,11.160000,11.380000,10.532364,13898100
2008-07-23,11.460000,11.840000,11.410000,11.720000,10.847041,14871900
2008-07-24,11.600000,11.710000,11.000000,11.030000,10.208431,17640700
2008-07-25,11.140000,11.600000,10.910000,11.560000,10.698956,25990000
2008-07-28,11.410000,11.910000,11.360000,11.530000,10.671188,18370200
2008-07-29,11.550000,11.940000,11.420000,11.650000,10.782250,19115900
2008-07-30,11.880000,11.900000,11.220000,11.480000,10.624911,14712300
2008-07-31,11.450000,11.690000,11.320000,11.440000,10.587892,12180900
2008-08-01,11.140000,11.180000,10.700000,10.840000,10.032583,22026500
2008-08-04,10.840000,10.900000,10.550000,10.580000,9.791950,13051300
2008-08-05,10.780000,11.190000,10.660000,11.190000,10.356513,17146100
2008-08-06,11.220000,11.590000,10.860000,11.490000,10.634171,20371600
2008-08-07,11.390000,11.900000,11.180000,11.310000,10.467578,20480800
2008-08-08,11.400000,11.500000,10.960000,11.000000,10.180667,21344100
2008-08-11,11.080000,11.500000,11.040000,11.230000,10.393536,29910900
2008-08-12,11.320000,11.350000,10.910000,11.070000,10.245454,35271700
2008-08-13,11.950000,12.440000,11.660000,12.260000,11.346816,52381500
2008-08-14,12.170000,13.490000,12.170000,13.000000,12.031697,40882600
2008-08-15,13.230000,13.380000,12.870000,12.960000,11.994676,19441300
2008-08-18,13.050000,13.340000,12.910000,13.220000,12.235312,22349200
2008-08-19,12.950000,13.500000,12.950000,13.420000,12.420416,25353500
2008-08-20,13.620000,14.120000,13.520000,14.080000,13.031255,28592300
2008-08-21,13.830000,13.940000,13.340000,13.620000,12.605517,25539000
2008-08-22,13.720000,13.880000,13.320000,13.610000,12.596261,11481600
2008-08-25,13.530000,13.850000,13.370000,13.410000,12.411159,11790000
2008-08-26,13.480000,13.490000,12.950000,13.090000,12.114991,15327800
2008-08-27,12.790000,13.350000,12.670000,13.190000,12.207544,11365500
2008-08-28,13.210000,13.350000,13.010000,13.140000,12.161269,9129800
2008-08-29,12.960000,13.000000,12.600000,12.640000,11.698512,12900100
2008-09-02,12.850000,12.960000,12.150000,12.320000,11.402347,17348200
2008-09-03,12.150000,12.200000,11.550000,11.660000,10.791505,17871400
2008-09-04,11.530000,11.650000,11.430000,11.500000,10.643424,17903200
2008-09-05,11.400000,11.700000,11.390000,11.670000,10.800762,19777500
2008-09-08,11.780000,11.780000,11.000000,11.190000,10.356513,32871000
2008-09-09,11.150000,11.830000,10.770000,10.810000,10.004818,27457400
2008-09-10,10.940000,11.160000,10.750000,10.820000,10.014074,16107100
2008-09-11,10.200000,10.520000,9.960000,10.300000,9.532806,26674400
2008-09-12,10.210000,10.280000,9.610000,10.190000,9.430999,30230000
2008-09-15,9.830000,9.980000,9.180000,9.300000,8.607290,21599600
2008-09-16,8.970000,9.660000,8.800000,9.590000,8.875690,31021000
2008-09-17,9.370000,10.220000,9.280000,10.000000,9.255151,34814500
2008-09-18,10.120000,11.420000,10.100000,10.890000,10.078861,40276500
2008-09-19,11.410000,11.500000,10.900000,11.410000,10.560126,27683600
2008-09-22,11.320000,11.650000,11.110000,11.170000,10.338002,17501800
2008-09-23,11.080000,11.490000,10.810000,10.850000,10.041841,20536700
2008-09-24,10.710000,11.470000,10.650000,11.250000,10.412045,21650900
2008-09-25,11.250000,11.740000,11.060000,11.470000,10.615657,14708200
2008-09-26,11.190000,11.770000,10.980000,11.690000,10.819270,16171300
2008-09-29,11.380000,11.520000,10.000000,10.100000,9.347705,24381000
2008-09-30,10.260000,10.810000,10.150000,10.710000,9.912269,16476100
2008-10-01,10.550000,10.740000,10.220000,10.410000,9.634611,13930200
2008-10-02,10.480000,10.480000,9.280000,9.330000,8.635056,19693200
2008-10-03,9.480000,9.750000,8.970000,9.030000,8.357400,22895700
2008-10-06,8.600000,8.620000,7.310000,7.850000,7.265296,41936000
2008-10-07,8.130000,8.150000,7.180000,7.240000,6.700728,26499600
2008-10-08,6.980000,7.820000,6.910000,7.390000,6.839557,30486400
2008-10-09,7.660000,7.770000,6.840000,6.920000,6.404565,22740900
2008-10-10,6.320000,7.330000,6.280000,6.810000,6.302759,30006300
2008-10-13,7.390000,8.060000,7.300000,8.050000,7.450396,22913400
2008-10-14,8.350000,8.400000,7.650000,7.870000,7.283804,30225300
2008-10-15,7.820000,7.860000,7.020000,7.020000,6.497116,21351600
2008-10-16,7.230000,7.740000,6.900000,7.700000,7.126466,25495500
2008-10-17,7.480000,8.090000,7.340000,7.650000,7.080191,20985400
2008-10-20,7.910000,7.970000,7.610000,7.800000,7.219018,14894100
2008-10-21,7.650000,7.730000,7.160000,7.200000,6.663709,16477900
2008-10-22,7.100000,7.400000,6.740000,6.930000,6.413820,15024900
2008-10-23,6.910000,7.080000,6.260000,6.540000,6.052870,20804800
2008-10-24,6.000000,6.950000,5.970000,6.610000,6.117656,19958400
2008-10-27,6.570000,7.380000,6.360000,6.970000,6.450840,17473400
2008-10-28,7.340000,8.030000,7.210000,8.020000,7.422632,21248000
2008-10-29,7.970000,8.800000,7.930000,8.280000,7.663266,24432100
2008-10-30,8.750000,8.800000,8.100000,8.630000,7.987198,16429400
2008-10-31,8.360000,8.930000,8.340000,8.760000,8.107513,15216800
2008-11-03,8.950000,9.110000,8.300000,8.440000,7.811349,18098100
2008-11-04,8.730000,8.980000,8.500000,8.980000,8.311127,15489000
2008-11-05,8.650000,8.900000,8.510000,8.510000,7.876133,19690500
2008-11-06,8.010000,8.310000,7.600000,7.620000,7.052426,19948400
2008-11-07,8.680000,9.070000,8.100000,8.720000,8.070494,28301700
2008-11-10,9.050000,9.100000,7.970000,8.160000,7.552205,14409900
2008-11-11,8.040000,8.100000,7.720000,7.800000,7.219018,14412100
2008-11-12,7.560000,7.740000,7.250000,7.340000,6.793281,16152300
2008-11-13,7.000000,7.950000,6.860000,7.940000,7.348591,19930700
2008-11-14,7.620000,7.660000,7.140000,7.170000,6.635944,18525600
2008-11-17,7.100000,7.290000,6.950000,7.020000,6.497116,9705600
2008-11-18,7.160000,7.200000,6.560000,6.790000,6.284248,14112200
2008-11-19,6.730000,6.900000,6.200000,6.230000,5.765961,12505500
2008-11-20,6.180000,6.490000,5.830000,5.900000,5.460539,21175900
2008-11-21,6.090000,6.380000,5.750000,6.380000,5.904786,14976600
2008-11-24,6.770000,6.880000,6.400000,6.800000,6.293503,15007700
2008-11-25,7.100000,7.120000,6.790000,6.990000,6.469351,13206400
2008-11-26,6.870000,7.630000,6.830000,7.610000,7.043171,15019800
2008-11-28,7.490000,7.600000,7.370000,7.470000,6.913598,4381200
2008-12-01,7.170000,7.240000,6.820000,6.830000,6.321269,13677800
2008-12-02,6.960000,7.300000,6.870000,7.210000,6.672964,11999700
2008-12-03,6.930000,7.590000,6.870000,7.580000,7.015405,14615800
2008-12-04,7.430000,7.800000,6.910000,7.080000,6.552649,11657300
2008-12-05,6.860000,7.390000,6.740000,7.360000,6.811792,10962100
2008-12-08,7.500000,7.650000,6.950000,7.120000,6.589668,17699800
2008-12-09,7.030000,8.090000,6.950000,7.810000,7.228272,20744000
2008-12-10,7.960000,8.750000,7.830000,8.550000,7.913153,24028100
2008-12-11,8.500000,8.800000,8.090000,8.190000,7.579970,14567500
2008-12-12,7.950000,8.650000,7.790000,8.600000,7.959431,16981700
2008-12-15,8.650000,8.700000,8.050000,8.320000,7.700284,11924900
2008-12-16,8.400000,8.900000,8.320000,8.880000,8.218574,13048500
2008-12-17,8.720000,9.450000,8.600000,9.320000,8.625798,16854500
2008-12-18,9.260000,9.290000,8.350000,8.460000,7.829859,13770200
2008-12-19,8.570000,8.900000,8.490000,8.520000,7.885391,14828000
2008-12-22,8.650000,8.670000,7.710000,8.020000,7.422632,13061600
2008-12-23,8.070000,8.240000,7.790000,7.910000,7.320825,9436300
2008-12-24,7.750000,7.940000,7.560000,7.720000,7.144977,3665400
2008-12-26,7.720000,7.820000,7.300000,7.510000,6.950618,5653900
2008-12-29,7.610000,7.750000,7.120000,7.750000,7.172742,11504200
2008-12-30,7.850000,8.140000,7.670000,8.020000,7.422632,10246500
2008-12-31,7.920000,8.270000,7.780000,8.070000,7.468907,11039500
2009-01-02,8.070000,8.770000,8.040000,8.710000,8.061236,12428100
2009-01-05,8.610000,9.070000,8.550000,8.870000,8.209316,17643400
2009-01-06,9.130000,9.430000,8.930000,9.170000,8.486974,16447600
2009-01-07,8.960000,8.960000,8.310000,8.620000,7.977942,21752400
2009-01-08,8.510000,8.510000,7.880000,8.400000,7.774329,25362400
2009-01-09,8.400000,8.400000,7.910000,7.930000,7.339336,19033800
2009-01-12,7.930000,7.970000,7.500000,7.610000,7.043171,16138300
2009-01-13,7.350000,7.940000,7.210000,7.650000,7.080191,45610600
2009-01-14,7.380000,7.470000,7.200000,7.310000,6.765516,24372700
2009-01-15,7.350000,7.690000,7.200000,7.570000,7.006149,24955100
2009-01-16,7.780000,8.060000,7.530000,7.990000,7.394866,20783100
2009-01-20,7.970000,8.000000,7.150000,7.210000,6.672964,17644700
2009-01-21,7.350000,7.610000,7.080000,7.560000,6.996895,16211800
2009-01-22,7.320000,7.620000,7.150000,7.420000,6.867322,13691400
2009-01-23,7.210000,7.940000,7.200000,7.710000,7.135721,15840400
2009-01-26,7.750000,8.200000,7.620000,7.970000,7.376356,14543700
2009-01-27,8.100000,8.500000,8.070000,8.440000,7.811349,18132500
2009-01-28,8.740000,8.930000,8.460000,8.790000,8.135280,18093800
2009-01-29,8.500000,8.600000,8.240000,8.280000,7.663266,10328200
2009-01-30,8.220000,8.440000,7.850000,7.950000,7.357846,12669000
2009-02-02,7.830000,8.470000,7.790000,8.380000,7.755816,14449800
2009-02-03,8.400000,8.550000,8.170000,8.480000,7.848369,9923700
2009-02-04,8.500000,9.150000,8.500000,8.720000,8.070494,19480800
2009-02-05,8.490000,9.460000,8.400000,9.360000,8.662821,22979800
2009-02-06,9.390000,9.930000,9.230000,9.870000,9.134834,28947000
2009-02-09,9.830000,9.970000,9.470000,9.740000,9.014518,17903200
2009-02-10,9.730000,9.860000,9.140000,9.320000,8.625798,28241600
2009-02-11,8.580000,8.890000,7.860000,8.150000,7.542948,49585000
2009-02-12,7.970000,8.370000,7.860000,8.320000,7.700284,25600500
2009-02-13,8.130000,8.410000,8.070000,8.310000,7.691030,19107600
2009-02-17,8.000000,8.190000,7.800000,7.830000,7.246785,19489400
2009-02-18,7.830000,8.300000,7.820000,8.040000,7.441142,16156300
2009-02-19,8.200000,8.270000,7.420000,7.420000,6.867322,18599700
2009-02-20,7.320000,7.730000,7.250000,7.610000,7.043171,19251400
2009-02-23,7.740000,7.780000,7.210000,7.260000,6.719240,16988700
2009-02-24,7.300000,7.920000,7.290000,7.910000,7.320825,16488100
2009-02-25,7.890000,8.240000,7.620000,8.000000,7.404121,17559000
2009-02-26,8.280000,8.540000,8.160000,8.260000,7.644756,27938900
2009-02-27,8.050000,8.470000,7.990000,8.280000,7.663266,18886100
2009-03-02,8.080000,8.250000,7.550000,7.580000,7.015405,17501600
2009-03-03,7.720000,8.180000,7.470000,7.880000,7.293059,26034300
2009-03-04,8.090000,8.700000,8.020000,8.460000,7.829859,27716700
2009-03-05,8.340000,8.680000,8.220000,8.260000,7.644756,23881300
2009-03-06,8.260000,8.690000,8.150000,8.390000,7.765073,24368900
2009-03-09,8.330000,8.960000,8.280000,8.300000,7.681777,17069200
2009-03-10,8.600000,9.210000,8.520000,9.050000,8.375913,31370000
2009-03-11,9.050000,11.850000,8.900000,9.300000,8.607290,21622900
2009-03-12,9.270000,9.950000,9.150000,9.850000,9.116324,40115100
2009-03-13,9.710000,9.940000,9.550000,9.800000,9.070047,29878900
2009-03-16,9.900000,9.910000,9.340000,9.420000,8.718353,17483600
2009-03-17,9.450000,9.910000,9.330000,9.890000,9.153346,25134600
2009-03-18,9.740000,10.490000,9.730000,10.200000,9.440252,33989000
2009-03-19,10.270000,10.270000,10.010000,10.080000,9.329193,20566200
2009-03-20,10.230000,10.240000,9.270000,9.530000,8.820158,27341800
2009-03-23,9.830000,10.240000,9.610000,10.220000,9.458766,20401200
2009-03-24,9.970000,10.060000,9.730000,9.780000,9.051541,27871700
2009-03-25,10.080000,10.400000,9.560000,9.940000,9.199619,31096300
2009-03-26,10.100000,10.580000,9.990000,10.560000,9.773440,33341600
2009-03-27,10.450000,10.710000,10.300000,10.460000,9.680890,18297300
2009-03-30,10.060000,10.190000,9.650000,9.790000,9.060793,19501300
2009-03-31,9.940000,10.100000,9.790000,9.860000,9.125580,20131800
2009-04-01,9.740000,10.200000,9.370000,10.110000,9.356958,22198000
2009-04-02,10.490000,10.770000,10.340000,10.580000,9.791950,25071500
2009-04-03,10.590000,11.350000,10.410000,11.320000,10.476832,25080200
2009-04-06,11.130000,11.450000,10.980000,11.350000,10.504598,22182200
2009-04-07,11.130000,11.250000,10.890000,10.960000,10.143647,15195100
2009-04-08,11.080000,11.440000,10.990000,11.410000,10.560126,18291300
2009-04-09,11.700000,12.080000,11.610000,12.040000,11.143202,22610300
2009-04-13,11.890000,11.900000,11.390000,11.650000,10.782250,19190700
2009-04-14,11.490000,12.000000,11.440000,11.720000,10.847041,17799000
2009-04-15,11.310000,11.440000,10.910000,11.390000,10.541617,26134200
2009-04-16,11.600000,11.820000,11.160000,11.680000,10.810018,25969300
2009-04-17,11.680000,11.870000,11.400000,11.760000,10.884058,17394100
2009-04-20,11.310000,11.410000,10.990000,11.050000,10.226943,14766500
2009-04-21,10.900000,11.480000,10.740000,11.020000,10.199178,23304600
2009-04-22,10.920000,11.810000,10.740000,11.350000,10.504598,22910100
2009-04-23,11.460000,11.560000,10.820000,11.170000,10.338002,18848800
2009-04-24,11.280000,11.510000,11.010000,11.430000,10.578639,18987700
2009-04-27,11.280000,11.600000,10.950000,11.020000,10.199178,19675600
2009-04-28,10.880000,11.280000,10.780000,11.050000,10.226943,15859800
2009-04-29,11.100000,11.150000,10.750000,10.880000,10.069605,21491700
2009-04-30,11.090000,11.800000,11.000000,11.480000,10.624911,27756900
2009-05-01,11.450000,11.940000,11.440000,11.670000,10.800762,21013700
2009-05-04,11.870000,12.390000,11.710000,12.300000,11.383839,23192600
2009-05-05,12.030000,12.110000,11.550000,11.800000,10.921079,20926900
2009-05-06,11.930000,12.040000,11.330000,11.560000,10.698956,23377200
2009-05-07,11.820000,11.820000,10.580000,10.730000,9.930777,32229900
2009-05-08,10.500000,10.500000,9.110000,9.250000,8.561014,73264100
2009-05-11,9.100000,9.660000,9.020000,9.430000,8.727609,25964900
2009-05-12,9.640000,9.640000,8.800000,8.980000,8.311127,30034600
2009-05-13,8.920000,8.970000,8.330000,8.400000,7.774329,32640200
2009-05-14,8.390000,8.700000,8.330000,8.520000,7.885391,25446600
2009-05-15,8.580000,9.040000,8.480000,8.740000,8.089001,19507700
2009-05-18,8.960000,9.330000,8.940000,9.270000,8.579525,23458000
2009-05-19,9.330000,9.560000,9.180000,9.450000,8.746119,21494200
2009-05-20,9.620000,10.250000,9.580000,9.730000,9.005262,32735900
2009-05-21,9.610000,9.800000,9.400000,9.670000,8.949731,24140000
2009-05-22,9.670000,9.960000,9.490000,9.820000,9.088557,17956500
2009-05-26,9.730000,10.430000,9.630000,10.350000,9.579082,21638500
2009-05-27,10.300000,10.680000,10.200000,10.370000,9.597591,20353800
2009-05-28,10.530000,10.600000,10.060000,10.510000,9.727165,24882200
2009-05-29,10.520000,10.540000,10.070000,10.430000,9.653123,20855800
2009-06-01,10.550000,11.000000,10.510000,10.940000,10.125135,25569100
2009-06-02,10.940000,11.180000,10.650000,10.850000,10.041841,22699600
2009-06-03,10.710000,10.750000,10.250000,10.510000,9.727165,18392200
2009-06-04,10.540000,10.910000,10.530000,10.890000,10.078861,16829500
2009-06-05,11.090000,11.090000,10.700000,10.830000,10.023329,13999800
2009-06-08,10.750000,10.920000,10.500000,10.770000,9.967798,11848700
2009-06-09,10.920000,11.480000,10.840000,11.360000,10.513852,18125800
2009-06-10,11.420000,11.790000,11.170000,11.720000,10.847041,20833000
2009-06-11,11.750000,12.200000,11.500000,11.570000,10.708207,20878900
2009-06-12,11.400000,11.550000,11.140000,11.510000,10.652681,14875000
2009-06-15,11.300000,11.450000,11.120000,11.320000,10.476832,11129100
2009-06-16,11.320000,11.460000,10.850000,11.010000,10.189922,14872800
2009-06-17,11.180000,11.390000,10.750000,11.280000,10.439811,19975400
2009-06-18,11.240000,11.450000,10.940000,11.060000,10.236197,14159400
2009-06-19,11.170000,11.460000,11.030000,11.180000,10.347261,18689100
2009-06-22,11.220000,11.220000,10.510000,10.550000,9.764187,14371600
2009-06-23,10.650000,10.670000,10.090000,10.500000,9.717910,14744100
2009-06-24,10.630000,11.100000,10.630000,10.850000,10.041841,12877400
2009-06-25,10.750000,11.440000,10.640000,11.420000,10.569383,21761100
2009-06-26,11.370000,11.610000,11.270000,11.570000,10.708207,12848900
2009-06-29,11.600000,11.780000,11.450000,11.570000,10.708207,12751400
2009-06-30,11.530000,11.690000,11.080000,11.290000,10.449068,14746100
2009-07-01,11.360000,11.490000,11.150000,11.340000,10.495343,17410500
2009-07-02,10.970000,11.110000,10.750000,10.900000,10.088115,13807800
2009-07-06,10.890000,10.900000,10.370000,10.550000,9.764187,18811400
2009-07-07,10.590000,10.650000,10.060000,10.090000,9.338448,26824900
2009-07-08,10.150000,10.180000,9.710000,10.110000,9.356958,30146500
2009-07-09,10.280000,10.500000,10.250000,10.330000,9.560570,17864100
2009-07-10,10.330000,10.440000,10.110000,10.370000,9.597591,13000200
2009-07-13,10.580000,10.580000,9.950000,10.490000,9.708653,13900300
2009-07-14,10.570000,10.750000,10.450000,10.710000,9.912269,11314200
2009-07-15,11.100000,11.370000,11.000000,11.150000,10.319492,25570200
2009-07-16,11.270000,11.770000,11.210000,11.730000,10.856294,23801900
2009-07-17,11.730000,12.110000,11.610000,12.070000,11.170966,21258900
2009-07-20,12.170000,12.350000,12.010000,12.220000,11.309794,19568900
2009-07-21,12.190000,12.240000,11.690000,11.970000,11.078419,23532400
2009-07-22,11.730000,12.380000,11.650000,12.270000,11.356070,15022700
2009-07-23,12.290000,13.040000,12.160000,13.000000,12.031697,26153000
2009-07-24,12.600000,13.000000,12.520000,12.960000,11.994676,16264800
2009-07-27,12.840000,13.210000,12.720000,13.020000,12.050210,16937100
2009-07-28,12.930000,13.180000,12.820000,13.040000,12.068719,14079500
2009-07-29,12.890000,12.970000,12.650000,12.780000,11.828083,9349300
2009-07-30,13.000000,13.170000,12.770000,12.880000,11.920636,11711100
2009-07-31,12.880000,13.110000,12.580000,12.930000,11.966911,13539000
2009-08-03,13.240000,13.430000,12.990000,13.280000,12.290840,11797500
2009-08-04,13.050000,13.600000,13.030000,13.370000,12.374138,17384500
2009-08-05,13.290000,13.500000,13.130000,13.400000,12.401902,15269200
2009-08-06,13.450000,13.690000,13.040000,13.120000,12.142759,23939700
2009-08-07,13.830000,14.230000,13.520000,13.710000,12.688812,35046800
2009-08-10,13.810000,14.010000,13.180000,13.260000,12.272332,17332800
2009-08-11,13.170000,13.370000,12.880000,12.950000,11.985421,12047100
2009-08-12,12.960000,13.570000,12.950000,13.430000,12.429671,15873500
2009-08-13,13.530000,13.880000,13.290000,13.830000,12.799874,14100700
2009-08-14,13.810000,13.830000,13.240000,13.420000,12.420416,10678700
2009-08-17,13.010000,13.050000,12.720000,12.860000,11.902123,11625800
2009-08-18,12.860000,13.480000,12.850000,13.330000,12.337117,15905000
2009-08-19,13.130000,13.260000,13.000000,13.180000,12.198291,13824900
2009-08-20,13.120000,13.760000,13.090000,13.700000,12.679556,20496000
2009-08-21,13.810000,13.950000,13.530000,13.930000,12.892426,15183100
2009-08-24,13.850000,14.000000,13.460000,13.540000,12.531474,11536400
2009-08-25,13.610000,13.800000,13.380000,13.660000,12.642537,11102200
2009-08-26,13.630000,13.850000,13.580000,13.820000,12.790620,10857700
2009-08-27,13.880000,14.070000,13.730000,14.010000,12.966466,13776800
2009-08-28,14.390000,15.030000,14.370000,14.730000,13.632838,22099800
2009-08-31,14.560000,14.630000,14.330000,14.520000,13.438480,10794900
2009-09-01,14.510000,14.920000,13.950000,14.030000,12.984977,18421400
2009-09-02,14.050000,14.370000,13.970000,14.230000,13.170080,10116400
2009-09-03,14.230000,14.590000,14.190000,14.570000,13.484754,13350500
2009-09-04,14.510000,15.210000,14.510000,15.110000,13.984533,12826200
2009-09-08,15.220000,15.530000,15.100000,15.530000,14.373251,13742800
2009-09-09,15.500000,15.990000,15.280000,15.960000,14.771221,14292100
2009-09-10,16.010000,16.490000,15.830000,16.469999,15.243233,15198800
2009-09-11,16.430000,16.490000,16.200001,16.320000,15.104409,17818300
2009-09-14,16.080000,16.209999,15.910000,16.049999,14.854517,12262900
2009-09-15,16.200001,16.580000,16.049999,16.379999,15.159940,13653400
2009-09-16,16.340000,16.370001,15.700000,15.940000,14.752711,17676600
2009-09-17,15.900000,15.900000,14.970000,15.240000,14.104853,23077400
2009-09-18,15.390000,15.500000,15.100000,15.220000,14.086342,15118500
2009-09-21,15.040000,15.410000,14.910000,15.150000,14.021555,14719400
2009-09-22,15.260000,15.350000,15.060000,15.180000,14.049319,9034700
2009-09-23,15.270000,15.400000,14.920000,14.940000,13.827196,11973400
2009-09-24,15.190000,15.190000,14.690000,14.740000,13.642094,13821900
2009-09-25,14.660000,14.730000,14.390000,14.500000,13.419971,9438900
2009-09-28,14.550000,15.200000,14.550000,14.830000,13.725390,11692700
2009-09-29,14.920000,15.100000,14.530000,14.560000,13.475502,11773200
2009-09-30,14.860000,15.210000,14.530000,15.030000,13.910491,21898900
2009-10-01,14.980000,14.980000,13.950000,13.960000,12.920193,24999000
2009-10-02,13.820000,14.150000,13.740000,13.850000,12.818384,15311900
2009-10-05,14.000000,14.050000,13.540000,13.780000,12.753601,18856900
2009-10-06,13.950000,14.250000,13.850000,14.010000,12.966466,19031800
2009-10-07,13.910000,14.060000,13.750000,13.900000,12.864659,11490200
2009-10-08,13.980000,14.020000,13.490000,13.990000,12.947957,31038100
2009-10-09,13.910000,14.190000,13.890000,14.170000,13.114550,15463500
2009-10-12,13.930000,14.280000,13.920000,14.010000,12.966466,12475200
2009-10-13,14.090000,14.250000,13.830000,13.960000,12.920193,15053100
2009-10-14,14.500000,14.500000,13.870000,13.940000,12.901680,27548700
2009-10-15,13.920000,14.050000,13.440000,13.530000,12.522220,27304900
2009-10-16,13.360000,13.400000,12.980000,13.220000,12.235312,25470800
2009-10-19,13.330000,13.810000,13.220000,13.700000,12.679556,17389700
2009-10-20,13.930000,14.030000,13.600000,13.710000,12.688812,16504500
2009-10-21,13.660000,13.870000,13.310000,13.380000,12.383393,12598900
2009-10-22,13.310000,13.540000,13.080000,13.470000,12.466689,9483200
2009-10-23,13.650000,13.650000,13.070000,13.150000,12.170524,10738200
2009-10-26,13.250000,13.450000,12.910000,12.980000,12.013186,12041300
2009-10-27,12.920000,13.110000,12.410000,12.540000,11.605959,14795900
2009-10-28,12.260000,12.540000,11.960000,12.020000,11.124692,19340800
2009-10-29,12.210000,12.610000,12.100000,12.550000,11.615216,15927500
2009-10-30,12.490000,12.540000,11.900000,11.960000,11.069161,15103600
2009-11-02,11.940000,12.330000,11.730000,12.070000,11.170966,14828400
2009-11-03,11.680000,12.070000,11.560000,12.010000,11.115438,21911800
2009-11-04,12.100000,12.230000,11.930000,11.980000,11.087671,22921000
2009-11-05,12.120000,12.390000,12.080000,12.270000,11.356070,23878900
2009-11-06,13.040000,13.430000,12.880000,13.160000,12.179779,41027800
2009-11-09,13.340000,13.650000,13.330000,13.460000,12.457435,20453100
2009-11-10,13.510000,13.510000,12.960000,13.130000,12.152014,19536800
2009-11-11,13.350000,13.820000,13.330000,13.500000,12.494454,21787800
2009-11-12,13.620000,13.850000,13.420000,13.460000,12.457435,12646600
2009-11-13,13.450000,13.630000,13.390000,13.560000,12.549986,9713100
2009-11-16,13.680000,13.910000,13.610000,13.750000,12.725834,10070500
2009-11-17,13.760000,13.760000,13.470000,13.730000,12.707322,8753100
2009-11-18,13.600000,13.650000,13.290000,13.520000,12.512964,11387900
2009-11-19,13.230000,13.230000,12.740000,12.980000,12.013186,20846000
2009-11-20,12.680000,12.960000,12.650000,12.900000,11.939146,10668700
2009-11-23,13.090000,13.330000,12.940000,13.000000,12.031697,9773100
2009-11-24,12.940000,13.030000,12.710000,12.920000,11.957652,10462600
2009-11-25,13.070000,13.250000,12.980000,13.070000,12.096482,11044000
2009-11-27,12.600000,12.940000,12.530000,12.790000,11.837342,6998300
2009-11-30,12.840000,13.070000,12.700000,13.060000,12.087229,12745900
2009-12-01,13.130000,13.470000,13.060000,13.320000,12.327860,11548400
2009-12-02,13.350000,13.750000,13.270000,13.720000,12.698068,15057300
2009-12-03,13.880000,14.130000,13.810000,13.830000,12.799874,16500900
2009-12-04,14.090000,14.320000,13.870000,14.260000,13.197845,20614100
2009-12-07,15.850000,16.450001,15.100000,16.090000,14.891540,68304600
2009-12-08,15.830000,15.900000,15.220000,15.310000,14.169638,26887800
2009-12-09,15.470000,15.810000,15.320000,15.690000,14.521331,16789700
2009-12-10,15.800000,15.900000,15.360000,15.410000,14.262189,10425300
2009-12-11,15.540000,15.560000,15.170000,15.210000,14.077087,10418600
2009-12-14,15.430000,15.720000,15.260000,15.670000,14.502824,10137200
2009-12-15,15.560000,15.910000,15.520000,15.650000,14.484312,11153800
2009-12-16,16.209999,17.090000,16.120001,16.910000,15.650460,42085000
2009-12-17,16.959999,17.480000,16.580000,16.830000,15.576420,25403300
2009-12-18,16.969999,17.030001,16.620001,16.820000,15.567163,20320700
2009-12-21,16.920000,17.490000,16.900000,17.420000,16.122473,10694800
2009-12-22,17.420000,18.059999,17.400000,17.879999,16.548208,19826100
2009-12-23,18.049999,18.180000,17.820000,18.129999,16.779587,11054900
2009-12-24,18.180000,18.209999,18.020000,18.090000,16.742569,3420300
2009-12-28,18.059999,18.219999,17.620001,17.799999,16.474169,11644000
2009-12-29,17.740000,18.070000,17.700001,18.020000,16.677786,11896200
2009-12-30,18.190001,18.780001,18.059999,18.670000,17.279371,17600200
2009-12-31,18.709999,18.950001,18.660000,18.680000,17.288624,17508500
2010-01-04,18.510000,18.620001,18.110001,18.490000,17.112780,20005100
2010-01-05,18.420000,18.959999,18.420000,18.760000,17.362663,18216200
2010-01-06,18.750000,18.920000,18.570000,18.879999,17.473728,16229200
2010-01-07,18.780001,18.860001,18.370001,18.510000,17.131287,13694800
2010-01-08,18.360001,18.680000,18.250000,18.549999,17.168303,11954200
2010-01-11,18.650000,18.730000,18.030001,18.290001,16.927671,13915300
2010-01-12,18.020000,18.090000,17.290001,17.670000,16.353855,15685800
2010-01-13,17.790001,17.969999,17.100000,17.910000,16.575975,12721700
2010-01-14,17.690001,17.820000,17.330000,17.629999,16.316832,15213100
2010-01-15,17.500000,17.650000,16.879999,17.110001,15.835566,20454800
2010-01-19,16.980000,17.540001,16.930000,17.430000,16.131727,13633200
2010-01-20,17.209999,17.430000,16.980000,17.360001,16.066944,17993200
2010-01-21,17.350000,17.660000,16.889999,17.049999,15.780033,15215800
2010-01-22,16.850000,17.160000,16.360001,16.459999,15.233979,26697900
2010-01-25,16.730000,17.059999,16.610001,16.740000,15.493124,16091900
2010-01-26,16.660000,16.770000,16.200001,16.209999,15.002598,17865900
2010-01-27,16.200001,16.709999,16.020000,16.650000,15.409825,20312600
2010-01-28,16.780001,16.840000,15.860000,16.090000,14.891540,17194100
2010-01-29,16.270000,16.450001,15.150000,15.390000,14.243677,19367500
2010-02-01,15.450000,16.600000,15.320000,16.570000,15.335786,23745800
2010-02-02,16.510000,16.950001,16.459999,16.740000,15.493124,21245300
2010-02-03,16.590000,16.950001,16.510000,16.879999,15.622698,14057400
2010-02-04,16.730000,16.730000,15.720000,15.900000,14.715692,19587000
2010-02-05,15.880000,16.260000,15.600000,16.219999,15.011855,15121400
2010-02-08,16.170000,16.580000,15.870000,16.190001,14.984091,11129000
2010-02-09,16.450001,16.530001,15.900000,16.059999,14.863774,23253600
2010-02-10,16.160000,16.520000,16.049999,16.370001,15.150683,13395700
2010-02-11,16.629999,17.299999,16.510000,17.120001,15.844821,17399500
2010-02-12,17.000000,17.700001,16.809999,17.350000,16.057692,19505300
2010-02-16,17.580000,17.740000,17.370001,17.670000,16.353855,11425600
2010-02-17,17.889999,17.900000,17.330000,17.840000,16.511189,21914000
2010-02-18,16.860001,16.950001,16.209999,16.670000,15.428340,37887700
2010-02-19,16.600000,16.780001,16.500000,16.580000,15.345040,12763700
2010-02-22,16.650000,16.900000,16.500000,16.610001,15.372808,11452100
2010-02-23,16.660000,16.730000,16.040001,16.209999,15.002598,12244100
2010-02-24,16.350000,16.709999,16.299999,16.549999,15.317273,11146700
2010-02-25,16.170000,16.440001,15.760000,16.400000,15.178449,14424300
2010-02-26,16.320000,16.440001,16.100000,16.200001,14.993344,9834900
2010-03-01,16.209999,16.930000,16.080000,16.850000,15.594929,13896700
2010-03-02,17.000000,17.209999,16.719999,16.840000,15.585675,13466200
2010-03-03,16.940001,17.030001,16.490000,16.629999,15.391317,9982500
2010-03-04,16.700001,16.830000,16.450001,16.660000,15.419081,13934900
2010-03-05,16.540001,17.290001,16.540001,17.170000,15.891098,15820800
2010-03-08,17.180000,17.230000,16.850000,16.920000,15.659718,10982800
2010-03-09,17.090000,17.719999,17.080000,17.549999,16.242788,20770800
2010-03-10,17.500000,17.780001,17.490000,17.590000,16.279812,10463000
2010-03-11,17.450001,17.510000,17.120001,17.190001,15.909604,13516500
2010-03-12,17.379999,17.430000,17.160000,17.250000,15.965141,13008800
2010-03-15,17.230000,17.400000,17.000000,17.160000,15.881840,8972600
2010-03-16,17.150000,17.860001,17.139999,17.760000,16.437147,16624700
2010-03-17,17.860001,18.340000,17.860001,18.100000,16.751825,16279200
2010-03-18,18.129999,18.129999,17.299999,17.459999,16.159498,18524100
2010-03-19,17.719999,17.770000,17.030001,17.250000,15.965141,14615300
2010-03-22,17.030001,17.600000,17.030001,17.530001,16.224277,10883400
2010-03-23,17.660000,17.980000,17.540001,17.889999,16.557470,12340300
2010-03-24,17.740000,17.790001,17.260000,17.290001,16.002161,10906300
2010-03-25,17.540001,17.650000,17.299999,17.340000,16.048433,12379600
2010-03-26,17.490000,17.670000,17.200001,17.340000,16.048433,8616900
2010-03-29,17.450001,17.600000,17.209999,17.559999,16.252045,9861400
2010-03-30,17.760000,17.850000,17.330000,17.629999,16.316832,8102600
2010-03-31,17.559999,17.639999,17.309999,17.400000,16.103962,9746000
2010-04-01,17.480000,17.680000,17.040001,17.219999,15.937373,8491600
2010-04-05,17.330000,17.510000,17.309999,17.480000,16.178001,10340900
2010-04-06,17.260000,17.299999,16.750000,17.049999,15.780033,20231500
2010-04-07,16.940001,17.450001,16.799999,17.160000,15.881840,20436700
2010-04-08,17.049999,17.180000,16.790001,16.879999,15.622698,25940000
2010-04-09,16.840000,17.049999,16.750000,16.990000,15.724502,20439300
2010-04-12,17.010000,17.370001,16.980000,17.299999,16.011414,13661500
2010-04-13,17.370001,17.719999,17.299999,17.660000,16.344597,16217400
2010-04-14,18.040001,18.129999,17.600000,17.879999,16.548208,22518000
2010-04-15,17.940001,18.120001,17.760000,18.010000,16.668528,23939900
2010-04-16,17.280001,17.350000,16.680000,17.059999,15.789289,47943400
2010-04-19,16.930000,17.030001,16.410000,16.980000,15.715242,27362300
2010-04-20,17.100000,17.280001,16.820000,17.040001,15.770782,16954700
2010-04-21,17.129999,17.150000,16.400000,16.600000,15.363553,22397700
2010-04-22,16.330000,16.719999,16.100000,16.670000,15.428340,16423300
2010-04-23,16.620001,16.660000,16.150000,16.440001,15.215470,18822900
2010-04-26,16.459999,16.799999,16.430000,16.600000,15.363553,12277300
2010-04-27,16.480000,16.650000,16.080000,16.129999,14.928557,15167600
2010-04-28,16.120001,16.389999,15.830000,16.160000,14.956325,16804100
2010-04-29,16.209999,16.670000,15.970000,16.650000,15.409825,24678200
2010-04-30,16.450001,16.480000,15.700000,15.710000,14.539842,26701200
2010-05-03,15.790000,15.880000,15.300000,15.540000,14.382506,26974300
2010-05-04,15.300000,15.330000,14.530000,14.750000,13.651348,32784400
2010-05-05,14.450000,14.870000,14.320000,14.500000,13.419971,33271000
2010-05-06,14.400000,14.700000,13.040000,14.200000,13.142314,25072200
2010-05-07,14.330000,14.330000,13.460000,13.960000,12.920193,28842800
2010-05-10,14.800000,14.980000,14.400000,14.560000,13.475502,24478900
2010-05-11,14.420000,14.690000,14.290000,14.400000,13.327418,20728100
2010-05-12,14.500000,14.760000,14.410000,14.680000,13.586561,22530900
2010-05-13,14.620000,15.290000,14.510000,14.650000,13.558796,31300000
2010-05-14,13.660000,13.700000,12.600000,12.960000,11.994676,62326700
2010-05-17,12.980000,13.150000,12.580000,12.990000,12.022442,21401500
2010-05-18,13.100000,13.180000,12.490000,12.560000,11.624471,16852800
2010-05-19,12.500000,12.780000,12.410000,12.760000,11.809572,20663000
2010-05-20,12.390000,12.760000,12.010000,12.460000,11.531922,28228400
2010-05-21,12.100000,13.080000,12.100000,12.730000,11.781806,26740000
2010-05-24,12.690000,12.840000,12.320000,12.360000,11.439368,16614100
2010-05-25,11.970000,12.750000,11.850000,12.690000,11.744785,24166300
2010-05-26,13.200000,13.450000,12.710000,12.750000,11.800319,24875700
2010-05-27,13.070000,13.500000,13.040000,13.500000,12.494454,17839000
2010-05-28,13.480000,13.480000,12.940000,13.140000,12.161269,13627900
2010-06-01,12.960000,13.110000,12.570000,12.580000,11.642981,13187300
2010-06-02,12.600000,12.740000,12.520000,12.720000,11.772552,16227200
2010-06-03,12.460000,12.730000,12.420000,12.700000,11.754042,14659000
2010-06-04,12.330000,12.550000,12.030000,12.100000,11.198733,16786400
2010-06-07,12.150000,12.230000,11.450000,11.500000,10.643424,14431200
2010-06-08,11.450000,11.450000,10.890000,11.180000,10.347261,24190900
2010-06-09,11.240000,11.540000,10.870000,10.910000,10.097371,17428800
2010-06-10,11.130000,11.400000,11.100000,11.350000,10.504598,15294200
2010-06-11,11.230000,11.660000,11.200000,11.610000,10.745230,11052600
2010-06-14,11.780000,11.800000,11.330000,11.360000,10.513852,9377000
2010-06-15,11.490000,11.980000,11.470000,11.920000,11.032143,13215800
2010-06-16,11.840000,11.950000,11.610000,11.770000,10.893313,9162000
2010-06-17,12.180000,12.250000,11.760000,12.220000,11.309794,21476700
2010-06-18,12.290000,12.450000,12.200000,12.300000,11.383839,23320800
2010-06-21,12.560000,12.590000,11.900000,12.010000,11.115438,14495900
2010-06-22,12.160000,12.310000,11.500000,11.560000,10.698956,20454100
2010-06-23,11.670000,11.810000,11.340000,11.690000,10.819270,15351500
2010-06-24,11.620000,11.680000,11.070000,11.110000,10.282472,18125700
2010-06-25,11.190000,11.200000,10.900000,11.080000,10.254707,12680500
2010-06-28,11.160000,11.260000,10.900000,11.100000,10.273217,9300200
2010-06-29,10.860000,10.870000,10.410000,10.480000,9.699398,16520200
2010-06-30,10.500000,10.610000,10.210000,10.210000,9.449510,15576800
2010-07-01,10.240000,10.450000,9.930000,10.380000,9.606847,18425200
2010-07-02,10.420000,10.440000,9.900000,10.250000,9.486529,18427400
2010-07-06,10.210000,10.540000,10.050000,10.140000,9.384722,17800500
2010-07-07,10.180000,10.690000,10.160000,10.630000,9.838227,15210300
2010-07-08,10.700000,10.710000,10.180000,10.310000,9.542062,19581800
2010-07-09,10.360000,10.420000,10.220000,10.350000,9.579082,14287900
2010-07-12,10.350000,10.670000,10.340000,10.540000,9.754930,14134900
2010-07-13,10.710000,10.990000,10.650000,10.920000,10.106626,18082900
2010-07-14,11.400000,11.480000,10.870000,11.030000,10.208431,33891600
2010-07-15,11.040000,11.050000,10.590000,10.720000,9.921521,23827200
2010-07-16,10.720000,10.750000,10.010000,10.050000,9.301429,32215100
2010-07-19,10.190000,10.500000,10.120000,10.460000,9.680890,19961000
2010-07-20,10.190000,10.780000,10.100000,10.720000,9.921521,29024700
2010-07-21,10.820000,10.830000,10.270000,10.370000,9.597591,15623500
2010-07-22,10.480000,10.650000,10.420000,10.540000,9.754930,11565300
2010-07-23,10.530000,10.540000,10.260000,10.360000,9.588335,20440100
2010-07-26,10.330000,10.590000,10.170000,10.550000,9.764187,17088700
2010-07-27,10.580000,10.600000,10.330000,10.460000,9.680890,17086800
2010-07-28,10.290000,10.470000,10.100000,10.130000,9.375468,33020200
2010-07-29,9.400000,9.600000,9.070000,9.130000,8.449953,66611900
2010-07-30,9.060000,9.350000,8.920000,9.190000,8.505485,24607200
2010-08-02,9.350000,9.390000,9.140000,9.180000,8.496228,22925500
2010-08-03,9.110000,9.120000,8.870000,8.940000,8.274104,23886100
2010-08-04,9.020000,9.350000,8.980000,9.320000,8.625798,21387400
2010-08-05,9.350000,9.460000,9.180000,9.440000,8.736864,20012600
2010-08-06,9.400000,9.650000,9.320000,9.550000,8.838668,18497600
2010-08-09,9.650000,9.660000,9.410000,9.640000,8.921967,11661400
2010-08-10,9.480000,9.500000,9.200000,9.240000,8.551761,19314000
2010-08-11,9.050000,9.050000,8.850000,8.880000,8.218574,19903700
2010-08-12,8.720000,9.160000,8.650000,8.960000,8.292617,33589600
2010-08-13,9.250000,9.520000,9.230000,9.390000,8.690591,44934800
2010-08-16,9.260000,9.450000,9.030000,9.150000,8.468465,20350200
2010-08-17,9.240000,9.440000,9.150000,9.270000,8.579525,12030600
2010-08-18,9.240000,9.400000,9.180000,9.320000,8.625798,8823000
2010-08-19,9.420000,9.910000,9.370000,9.880000,9.144089,40377500
2010-08-20,9.810000,10.210000,9.800000,9.970000,9.227387,32632700
2010-08-23,10.000000,10.250000,9.790000,9.820000,9.088557,18715500
2010-08-24,9.500000,9.820000,9.480000,9.720000,8.996009,16033300
2010-08-25,9.610000,10.000000,9.560000,9.920000,9.181109,18938300
2010-08-26,10.050000,10.160000,9.800000,9.800000,9.070047,16439900
2010-08-27,9.860000,10.200000,9.610000,10.120000,9.366214,26510400
2010-08-30,10.000000,10.080000,9.640000,9.640000,8.921967,15070100
2010-08-31,9.500000,9.800000,9.300000,9.330000,8.635056,23287200
2010-09-01,9.470000,9.590000,9.350000,9.400000,8.699843,21286000
2010-09-02,9.430000,9.600000,9.340000,9.570000,8.857183,14907300
2010-09-03,9.800000,9.930000,9.680000,9.900000,9.162601,14162100
2010-09-07,9.870000,10.220000,9.850000,9.990000,9.245894,22495500
2010-09-08,10.010000,10.390000,9.900000,10.320000,9.551317,30603900
2010-09-09,10.450000,10.460000,10.050000,10.180000,9.421743,17443700
2010-09-10,10.250000,10.280000,9.980000,10.070000,9.319938,15232300
2010-09-13,10.250000,10.770000,10.250000,10.640000,9.847481,25394800
2010-09-14,10.550000,10.680000,10.450000,10.540000,9.754930,17463400
2010-09-15,10.440000,10.570000,10.300000,10.560000,9.773440,13889300
2010-09-16,10.420000,10.660000,10.420000,10.570000,9.782695,9132000
2010-09-17,10.670000,10.680000,10.520000,10.550000,9.764187,10422100
2010-09-20,10.550000,10.750000,10.450000,10.710000,9.912269,11079200
2010-09-21,10.650000,11.470000,10.650000,11.290000,10.449068,44490600
2010-09-22,11.250000,11.490000,11.180000,11.390000,10.541617,24999900
2010-09-23,11.520000,11.980000,11.420000,11.620000,10.754486,31021800
2010-09-24,11.880000,12.300000,11.790000,12.260000,11.346816,27174400
2010-09-27,12.350000,12.360000,11.840000,12.000000,11.106183,24987600
2010-09-28,12.010000,12.140000,11.760000,11.970000,11.078419,18079800
2010-09-29,11.860000,12.230000,11.750000,11.880000,10.995119,24372600
2010-09-30,12.030000,12.170000,11.580000,11.680000,10.810018,19690800
2010-10-01,11.850000,11.870000,11.260000,11.350000,10.504598,24978000
2010-10-04,11.240000,11.430000,11.010000,11.240000,10.402789,18737500
2010-10-05,11.480000,11.500000,11.290000,11.320000,10.476832,18839700
2010-10-06,11.320000,11.370000,10.670000,10.780000,9.977053,26440100
2010-10-07,10.830000,10.840000,10.380000,10.700000,9.903011,19037200
2010-10-08,10.660000,10.950000,10.510000,10.860000,10.051095,17673300
2010-10-11,10.910000,11.000000,10.760000,10.810000,10.004818,11067000
2010-10-12,10.720000,11.070000,10.630000,11.020000,10.199178,15130200
2010-10-13,11.200000,11.500000,11.080000,11.340000,10.495343,24218300
2010-10-14,11.350000,11.370000,11.110000,11.160000,10.328749,14979300
2010-10-15,11.340000,11.470000,11.160000,11.290000,10.449068,15998500
2010-10-18,11.300000,11.410000,11.100000,11.360000,10.513852,11203900
2010-10-19,11.110000,11.370000,11.020000,11.290000,10.449068,21653400
2010-10-20,11.300000,11.600000,11.100000,11.290000,10.449068,19088300
2010-10-21,11.300000,11.320000,10.920000,11.090000,10.263966,25360700
2010-10-22,11.160000,11.890000,11.040000,11.800000,10.921079,33066900
2010-10-25,11.890000,12.000000,11.780000,11.910000,11.022884,16828400
2010-10-26,11.770000,12.050000,11.670000,11.870000,10.985863,16881200
2010-10-27,11.760000,12.080000,11.730000,12.040000,11.143202,12419900
2010-10-28,12.200000,12.240000,11.940000,12.050000,11.152459,17611200
2010-10-29,12.030000,12.150000,11.900000,12.020000,11.124692,13866600
2010-11-01,12.100000,12.290000,11.940000,12.040000,11.143202,11848000
2010-11-02,12.090000,12.490000,12.020000,12.290000,11.374582,14525900
2010-11-03,12.370000,12.460000,12.050000,12.380000,11.457877,16793700
2010-11-04,12.500000,12.630000,12.380000,12.400000,11.476389,17500400
2010-11-05,12.490000,12.720000,12.430000,12.610000,11.670746,18377900
2010-11-08,12.600000,12.770000,12.500000,12.660000,11.717024,15128900
2010-11-09,12.660000,12.760000,12.520000,12.590000,11.652235,15849100
2010-11-10,12.680000,12.740000,12.500000,12.740000,11.791061,13025400
2010-11-11,12.440000,12.820000,12.270000,12.610000,11.670746,27249500
2010-11-12,13.090000,13.680000,13.030000,13.260000,12.272332,53564000
2010-11-15,13.320000,13.510000,13.070000,13.100000,12.124250,18338700
2010-11-16,12.880000,13.060000,12.690000,12.710000,11.763298,18483900
2010-11-17,12.700000,13.070000,12.580000,12.920000,11.957652,13794100
2010-11-18,13.090000,13.450000,13.090000,13.320000,12.327860,24828000
2010-11-19,13.290000,13.800000,13.270000,13.750000,12.725834,17912100
2010-11-22,13.660000,13.840000,13.540000,13.760000,12.735090,11566700
2010-11-23,13.600000,13.740000,13.340000,13.440000,12.438923,11445800
2010-11-24,13.580000,13.820000,13.570000,13.770000,12.744344,9944600
2010-11-26,13.760000,13.840000,13.600000,13.600000,12.587007,3577600
2010-11-29,13.540000,13.800000,13.480000,13.750000,12.725834,11704800
2010-11-30,13.540000,13.680000,13.360000,13.610000,12.596261,18023400
2010-12-01,13.880000,14.300000,13.860000,14.210000,13.151568,15663400
2010-12-02,14.210000,14.470000,14.200000,14.380000,13.308910,13232900
2010-12-03,14.310000,14.790000,14.280000,14.790000,13.688369,15151100
2010-12-06,14.840000,14.870000,14.450000,14.510000,13.429223,10960600
2010-12-07,14.850000,15.330000,14.820000,14.980000,13.864214,25670300
2010-12-08,14.960000,15.270000,14.850000,15.110000,13.984533,15331300
2010-12-09,14.750000,14.960000,14.540000,14.860000,13.753155,23560200
2010-12-10,14.860000,15.090000,14.820000,14.950000,13.836452,11297500
2010-12-13,15.010000,15.040000,14.530000,14.570000,13.484754,15227700
2010-12-14,14.850000,15.120000,14.570000,14.590000,13.503265,18879000
2010-12-15,14.620000,14.800000,14.250000,14.270000,13.207104,15604400
2010-12-16,14.420000,14.500000,14.250000,14.290000,13.225613,15796800
2010-12-17,14.300000,14.450000,14.130000,14.370000,13.299651,14828900
2010-12-20,14.420000,14.490000,14.300000,14.310000,13.244121,8602200
2010-12-21,14.450000,14.870000,14.440000,14.870000,13.762410,11673800
2010-12-22,14.840000,15.050000,14.700000,15.030000,13.910491,11949700
2010-12-23,15.030000,15.030000,14.860000,14.920000,13.808686,6844600
2010-12-27,14.880000,15.110000,14.610000,15.000000,13.882729,6387500
2010-12-28,15.000000,15.100000,14.850000,14.940000,13.827196,4856500
2010-12-29,14.930000,15.050000,14.800000,14.940000,13.827196,4441500
2010-12-30,14.920000,15.080000,14.870000,14.990000,13.873473,4362200
2010-12-31,15.000000,15.420000,14.980000,15.400000,14.252933,9781300
2011-01-03,15.520000,15.970000,15.500000,15.820000,14.641649,20436200
2011-01-04,15.850000,15.920000,15.420000,15.770000,14.595375,16284600
2011-01-05,16.059999,17.000000,15.900000,16.980000,15.715242,35705400
2011-01-06,17.420000,19.340000,17.370001,19.330000,17.890209,87332800
2011-01-07,19.110001,19.930000,18.680000,19.870001,18.389984,64499600
2011-01-10,19.510000,20.670000,19.360001,20.629999,19.093374,43758700
2011-01-11,20.910000,21.110001,19.870001,20.309999,18.797215,67777200
2011-01-12,20.320000,23.370001,20.250000,23.350000,21.610779,85797400
2011-01-13,23.100000,23.840000,22.379999,23.389999,21.647800,67379800
2011-01-14,22.990000,23.980000,22.850000,23.590000,21.832897,39883800
2011-01-18,23.270000,23.430000,22.469999,23.040001,21.323872,45333700
2011-01-19,23.049999,23.600000,22.360001,22.410000,20.740799,29947400
2011-01-20,22.190001,22.559999,21.790001,22.430000,20.759306,27785200
2011-01-21,22.670000,22.990000,22.180000,22.219999,20.564943,18481100
2011-01-24,23.240000,25.049999,22.980000,24.730000,22.887989,51422500
2011-01-25,24.620001,24.879999,23.809999,23.969999,22.184601,27171400
2011-01-26,24.219999,25.000000,24.049999,24.540001,22.712139,26866500
2011-01-27,24.889999,24.950001,24.000000,24.469999,22.647354,16434900
2011-01-28,24.530001,24.940001,23.200001,23.760000,21.990238,27369900
2011-01-31,23.799999,24.250000,23.410000,23.920000,22.138323,18754000
2011-02-01,24.129999,24.650000,23.969999,24.469999,22.647354,16352600
2011-02-02,24.330000,26.170000,24.330000,25.580000,23.674685,40165400
2011-02-03,25.620001,25.620001,24.549999,25.100000,23.230433,25769400
2011-02-04,25.450001,25.870001,25.350000,25.670000,23.757975,21822500
2011-02-07,25.320000,25.430000,24.510000,24.600000,22.767677,23355900
2011-02-08,24.629999,24.790001,23.760000,23.870001,22.092047,26914600
2011-02-09,23.959999,24.200001,22.860001,23.290001,21.555248,31938000
2011-02-10,22.770000,23.209999,22.600000,22.820000,21.120253,26058800
2011-02-11,22.740000,24.209999,22.370001,23.469999,21.721844,33981900
2011-02-14,23.750000,24.500000,23.020000,23.110001,21.388655,32195700
2011-02-15,23.150000,23.230000,22.450001,22.549999,20.870367,22174500
2011-02-16,22.850000,23.709999,22.770000,23.379999,21.638540,32959100
2011-02-17,22.719999,26.010000,22.610001,25.680000,23.767229,86752400
2011-02-18,25.540001,25.950001,25.230000,25.629999,23.720953,34860300
2011-02-22,24.790001,24.860001,23.129999,23.209999,21.481209,34916200
2011-02-23,23.209999,23.430000,21.780001,22.110001,20.463144,37290100
2011-02-24,22.219999,23.040001,22.059999,22.650000,20.962917,31153000
2011-02-25,23.260000,23.500000,22.940001,23.120001,21.397911,19391300
2011-02-28,23.500000,23.510000,22.139999,22.660000,20.972178,22592400
2011-03-01,22.700001,22.990000,21.650000,21.650000,20.037405,24711200
2011-03-02,21.620001,22.030001,20.250000,20.750000,19.204445,42953500
2011-03-03,21.230000,21.350000,20.240000,20.870001,19.315498,39842600
2011-03-04,20.889999,21.100000,20.530001,20.760000,19.213694,23994000
2011-03-07,20.910000,20.980000,19.950001,20.469999,18.945293,25478500
2011-03-08,20.690001,20.799999,19.120001,19.549999,18.093821,48679600
2011-03-09,19.490000,19.680000,18.969999,19.139999,17.714365,32974400
2011-03-10,18.700001,18.840000,17.900000,17.920000,16.585234,43068400
2011-03-11,18.070000,18.549999,17.660000,18.049999,16.705549,37170800
2011-03-14,18.190001,18.650000,17.900000,18.200001,16.844376,25084000
2011-03-15,17.309999,17.959999,17.010000,17.660000,16.344597,31407000
2011-03-16,17.500000,18.350000,17.299999,17.530001,16.224277,36913000
2011-03-17,18.000000,18.030001,17.200001,17.860001,16.529703,30962900
2011-03-18,18.139999,18.200001,17.600000,17.620001,16.307581,22174000
2011-03-21,18.000000,18.180000,17.580000,17.760000,16.437147,18795800
2011-03-22,17.709999,17.879999,17.370001,17.450001,16.150238,17958300
2011-03-23,17.420000,17.860001,17.040001,17.809999,16.483425,19559900
2011-03-24,18.190001,19.450001,18.150000,19.230000,17.797657,44514800
2011-03-25,19.400000,19.450001,18.600000,18.629999,17.242340,29909800
2011-03-28,19.070000,19.639999,18.900000,19.320000,17.880955,30107100
2011-03-29,19.320000,19.389999,18.910000,19.170000,17.742123,17894100
2011-03-30,19.320000,19.400000,18.209999,18.450001,17.075752,29408000
2011-03-31,18.480000,18.680000,18.120001,18.459999,17.085007,16377800
2011-04-01,18.700001,18.719999,17.950001,18.200001,16.844376,21251800
2011-04-04,18.200001,18.250000,17.420000,17.549999,16.242788,23108200
2011-04-05,17.809999,17.950001,17.540001,17.580000,16.270559,20526900
2011-04-06,17.709999,17.730000,17.309999,17.459999,16.159498,21424600
2011-04-07,17.500000,18.209999,17.430000,18.100000,16.751825,25530200
2011-04-08,18.240000,18.240000,17.500000,17.549999,16.242788,18663800
2011-04-11,17.620001,17.709999,17.129999,17.320000,16.029919,13655200
2011-04-12,17.150000,17.490000,16.830000,17.370001,16.076199,21018900
2011-04-13,17.549999,17.870001,17.330000,17.760000,16.437147,18739700
2011-04-14,17.600000,18.520000,17.500000,18.510000,17.131287,31367600
2011-04-15,18.370001,18.940001,18.280001,18.709999,17.316389,24243000
2011-04-18,18.270000,18.389999,17.799999,18.090000,16.742569,18589600
2011-04-19,18.100000,18.170000,17.530001,18.020000,16.677786,16496500
2011-04-20,18.680000,18.950001,18.270000,18.570000,17.186817,16262900
2011-04-21,18.770000,18.889999,18.480000,18.520000,17.140541,10532500
2011-04-25,18.600000,19.120001,18.590000,18.809999,17.408937,15490300
2011-04-26,18.969999,19.490000,18.780001,19.299999,17.862440,16900000
2011-04-27,19.400000,19.400000,18.900000,19.299999,17.862440,11250100
2011-04-28,19.299999,19.900000,19.080000,19.510000,18.056805,17100000
2011-04-29,19.639999,20.440001,19.610001,20.000000,18.510302,20900000
2011-05-02,20.420000,20.430000,19.629999,19.730000,18.260410,15345600
2011-05-03,19.500000,19.559999,18.549999,18.790001,17.390429,20200000
2011-05-04,18.850000,19.059999,18.299999,18.650000,17.260859,15983900
2011-05-05,18.500000,18.879999,18.250000,18.660000,17.270111,13600000
2011-05-06,19.049999,19.500000,18.900000,19.320000,17.880955,21027000
2011-05-09,19.379999,19.850000,19.330000,19.750000,18.278925,17658200
2011-05-10,19.910000,19.930000,19.580000,19.780001,18.306692,17274400
2011-05-11,19.879999,20.080000,19.600000,19.870001,18.389984,15400000
2011-05-12,19.799999,20.520000,19.750000,20.500000,18.973059,30600000
2011-05-13,19.200001,19.250000,18.120001,18.260000,16.899906,50629800
2011-05-16,18.209999,18.250000,17.690001,17.700001,16.381624,18204700
2011-05-17,17.639999,17.650000,17.120001,17.629999,16.316832,35509100
2011-05-18,17.700001,18.190001,17.639999,18.040001,16.696297,16471100
2011-05-19,18.180000,18.190001,17.510000,17.780001,16.455658,16272100
2011-05-20,17.740000,18.129999,17.660000,18.090000,16.742569,14395500
2011-05-23,17.830000,18.200001,17.600000,18.070000,16.724060,14700000
2011-05-24,18.160000,18.870001,18.110001,18.139999,16.788843,18009300
2011-05-25,18.049999,18.480000,17.870001,18.360001,16.992456,13632800
2011-05-26,18.360001,18.980000,18.309999,18.820000,17.418196,17660900
2011-05-27,18.900000,19.530001,18.879999,19.500000,18.047544,16470600
2011-05-31,19.879999,20.049999,19.400000,20.040001,18.547325,30017900
2011-06-01,19.950001,19.980000,19.100000,19.139999,17.714365,19055200
2011-06-02,19.170000,19.309999,18.820000,19.049999,17.631063,15189800
2011-06-03,18.830000,19.000000,18.370001,18.459999,17.085007,13732500
2011-06-06,18.430000,18.600000,18.049999,18.070000,16.724060,10899700
2011-06-07,18.209999,18.309999,17.980000,18.059999,16.714800,10848900
2011-06-08,17.969999,18.080000,17.430000,17.570000,16.261303,14232200
2011-06-09,17.559999,17.600000,16.740000,17.370001,16.076199,18540800
2011-06-10,17.400000,17.510000,16.980000,17.120001,15.844821,12338700
2011-06-13,17.120001,17.340000,16.879999,17.000000,15.733760,14369000
2011-06-14,17.150000,17.520000,17.070000,17.139999,15.863327,13364400
2011-06-15,16.910000,17.010000,16.420000,16.770000,15.520890,23397900
2011-06-16,16.780001,17.040001,15.950000,16.190001,14.984091,25622700
2011-06-17,16.379999,16.389999,15.310000,15.810000,14.632396,36697100
2011-06-20,15.670000,16.000000,15.500000,15.620000,14.456545,18649000
2011-06-21,15.680000,16.080000,15.530000,15.960000,14.771221,17606900
2011-06-22,15.850000,16.059999,15.710000,15.740000,14.567608,16293000
2011-06-23,15.540000,16.320000,15.400000,16.209999,15.002598,18600600
2011-06-24,16.129999,16.270000,15.640000,15.740000,14.567608,13226300
2011-06-27,15.740000,15.840000,14.860000,15.410000,14.262189,28553800
2011-06-28,15.410000,15.680000,15.300000,15.500000,14.345485,17305000
2011-06-29,15.600000,15.900000,15.060000,15.740000,14.567608,24013600
2011-06-30,15.780000,16.110001,15.540000,15.940000,14.752711,16307500
2011-07-01,15.940000,16.209999,15.620000,16.150000,14.947068,13520100
2011-07-05,16.129999,16.280001,15.740000,15.880000,14.697182,13382400
2011-07-06,15.870000,15.900000,15.480000,15.670000,14.502824,13239500
2011-07-07,15.750000,15.830000,15.450000,15.730000,14.558353,24653400
2011-07-08,15.510000,15.620000,15.300000,15.430000,14.280700,15487900
2011-07-11,15.140000,15.200000,14.850000,14.890000,13.780923,17859700
2011-07-12,14.820000,14.960000,14.440000,14.690000,13.595817,21690100
2011-07-13,14.890000,14.990000,14.520000,14.660000,13.568051,15859200
2011-07-14,14.720000,14.810000,14.010000,14.080000,13.031255,27224900
2011-07-15,14.160000,14.250000,13.810000,14.100000,13.049762,20693400
2011-07-18,13.990000,14.070000,13.620000,13.800000,12.772108,20455000
2011-07-19,13.840000,14.250000,13.840000,14.220000,13.160826,15055600
2011-07-20,14.270000,14.350000,14.000000,14.040000,12.994231,16573900
2011-07-21,14.060000,14.800000,13.850000,14.700000,13.605074,28585500
2011-07-22,14.830000,15.050000,14.640000,15.000000,13.882729,18429800
2011-07-25,14.770000,14.830000,14.550000,14.760000,13.660604,14173000
2011-07-26,14.340000,14.700000,14.190000,14.400000,13.327418,17456900
2011-07-27,14.200000,14.270000,13.820000,13.860000,12.827640,16305300
2011-07-28,13.810000,14.120000,13.590000,13.830000,12.799874,16204400
2011-07-29,13.690000,13.960000,13.620000,13.830000,12.799874,16941400
2011-08-01,14.150000,14.610000,14.030000,14.570000,13.484754,25490500
2011-08-02,14.470000,15.380000,14.420000,14.420000,13.345928,33910800
2011-08-03,14.450000,14.860000,14.310000,14.810000,13.706879,19130900
2011-08-04,14.540000,14.540000,13.400000,13.400000,12.401902,24493300
2011-08-05,13.710000,13.880000,12.600000,12.950000,11.985421,31764700
2011-08-08,12.320000,12.760000,11.850000,11.930000,11.041396,27104500
2011-08-09,12.160000,12.950000,12.000000,12.930000,11.966911,33245800
2011-08-10,12.550000,12.910000,12.270000,12.340000,11.420857,28501300
2011-08-11,12.340000,13.590000,12.340000,13.410000,12.411159,26969800
2011-08-12,14.840000,14.860000,12.670000,12.880000,11.920636,79894600
2011-08-15,13.010000,13.400000,12.940000,13.370000,12.374138,21603800
2011-08-16,13.220000,13.400000,12.750000,12.990000,12.022442,17921700
2011-08-17,13.030000,13.250000,12.640000,12.810000,11.855849,13833200
2011-08-18,12.230000,12.350000,11.800000,11.940000,11.050653,20064100
2011-08-19,11.740000,12.390000,11.650000,11.730000,10.856294,19033300
2011-08-22,12.060000,12.200000,11.810000,11.940000,11.050653,15296900
2011-08-23,12.230000,13.240000,12.210000,13.230000,12.244564,23457800
2011-08-24,13.200000,13.240000,12.700000,13.040000,12.068719,17187500
2011-08-25,12.780000,13.010000,12.460000,12.480000,11.550429,17274200
2011-08-26,12.430000,13.140000,12.210000,13.010000,12.040955,18316500
2011-08-29,13.380000,13.410000,13.070000,13.360000,12.364880,15038200
2011-08-30,13.270000,13.790000,13.180000,13.680000,12.661047,17119000
2011-08-31,13.780000,13.920000,13.200000,13.310000,12.318607,17645200
2011-09-01,13.490000,13.780000,13.270000,13.280000,12.290840,19057800
2011-09-02,12.980000,13.160000,12.820000,12.920000,11.957652,11783900
2011-09-06,12.500000,13.210000,12.380000,13.180000,12.198291,17406200
2011-09-07,14.250000,14.640000,13.860000,14.250000,13.188593,40165500
2011-09-08,14.110000,14.450000,13.950000,14.180000,13.123805,22004100
2011-09-09,14.060000,14.440000,13.760000,13.880000,12.846150,21745700
2011-09-12,13.690000,14.330000,13.690000,14.210000,13.151568,22912000
2011-09-13,14.330000,14.600000,14.110000,14.530000,13.447735,21345900
2011-09-14,14.910000,15.470000,14.900000,15.280000,14.141871,38679800
2011-09-15,15.620000,15.700000,15.360000,15.500000,14.345485,18822700
2011-09-16,15.530000,16.100000,15.380000,15.460000,14.308464,34789700
2011-09-19,15.200000,15.310000,14.750000,15.140000,14.012299,24205100
2011-09-20,15.330000,15.390000,14.680000,14.750000,13.651348,19810900
2011-09-21,14.830000,15.090000,14.460000,14.470000,13.392203,17881300
2011-09-22,13.900000,13.920000,13.250000,13.510000,12.503712,32865800
2011-09-23,13.430000,14.180000,13.350000,13.790000,12.762855,25286000
2011-09-26,13.960000,14.000000,13.200000,13.820000,12.790620,24303100
2011-09-27,14.170000,14.290000,13.730000,13.840000,12.809130,19534700
2011-09-28,13.870000,14.220000,13.200000,13.420000,12.420416,30913300
2011-09-29,13.660000,13.890000,12.750000,13.090000,12.114991,21660400
2011-09-30,12.880000,12.950000,12.490000,12.510000,11.578194,16944600
2011-10-03,12.350000,12.740000,11.810000,11.810000,10.930335,23747400
2011-10-04,11.520000,12.900000,11.470000,12.900000,11.939146,34038700
2011-10-05,12.870000,13.480000,12.610000,13.360000,12.364880,21417700
2011-10-06,13.430000,13.930000,13.410000,13.890000,12.855405,19329800
2011-10-07,13.950000,14.360000,13.660000,14.150000,13.096040,20174400
2011-10-10,14.390000,14.780000,14.360000,14.780000,13.679114,13359400
2011-10-11,14.660000,14.900000,14.570000,14.620000,13.531032,20402000
2011-10-12,14.900000,14.910000,14.600000,14.610000,13.521777,15301600
2011-10-13,14.540000,15.490000,14.500000,15.460000,14.308464,21370800
2011-10-14,15.730000,15.890000,15.340000,15.720000,14.549099,17561300
2011-10-17,15.540000,15.540000,14.860000,14.940000,13.827196,15294500
2011-10-18,14.860000,15.520000,14.770000,15.480000,14.326974,14772900
2011-10-19,15.500000,15.770000,15.130000,15.170000,14.040063,13939200
2011-10-20,14.760000,14.820000,13.840000,14.410000,13.336673,24757700
2011-10-21,14.590000,14.830000,14.240000,14.480000,13.401456,15710700
2011-10-24,14.540000,15.250000,14.510000,15.020000,13.901237,13381400
2011-10-25,14.810000,14.930000,14.420000,14.450000,13.373693,14449900
2011-10-26,14.730000,14.810000,14.200000,14.620000,13.531032,12577900
2011-10-27,15.160000,15.400000,14.820000,15.250000,14.114105,14443300
2011-10-28,15.120000,15.740000,15.080000,15.600000,14.438037,12253900
2011-10-31,15.100000,15.190000,14.800000,14.800000,13.697624,12999600
2011-11-01,14.260000,14.300000,13.920000,14.060000,13.012742,19770600
2011-11-02,14.200000,14.270000,13.530000,13.820000,12.790620,24040200
2011-11-03,13.970000,14.680000,13.600000,14.650000,13.558796,18734300
2011-11-04,14.520000,14.870000,14.290000,14.820000,13.716134,16371000
2011-11-07,14.710000,14.960000,14.400000,14.740000,13.642094,15338400
2011-11-08,14.930000,15.170000,14.690000,15.080000,13.956767,13743200
2011-11-09,14.730000,14.920000,14.260000,14.320000,13.253376,13306100
2011-11-10,14.670000,14.820000,14.110000,14.470000,13.392203,24762100
2011-11-11,14.880000,15.100000,14.070000,14.980000,13.864214,43789000
2011-11-14,14.980000,15.130000,14.650000,14.690000,13.595817,12507300
2011-11-15,14.550000,14.990000,14.510000,14.880000,13.771665,12641500
2011-11-16,14.600000,14.990000,14.530000,14.580000,13.494012,12810500
2011-11-17,14.550000,14.590000,13.800000,14.060000,13.012742,16437600
2011-11-18,14.140000,14.140000,13.780000,13.930000,12.892426,12533800
2011-11-21,13.710000,14.770000,13.500000,14.630000,13.540288,33269700
2011-11-22,14.790000,15.160000,14.710000,15.080000,13.956767,32187000
2011-11-23,14.920000,15.030000,14.430000,14.440000,13.364439,20633500
2011-11-25,14.250000,14.580000,14.000000,14.040000,12.994231,10165500
2011-11-28,14.500000,15.050000,14.500000,14.830000,13.725390,17265400
2011-11-29,14.810000,15.100000,14.670000,14.910000,13.799432,15586000
2011-11-30,15.360000,15.670000,15.230000,15.630000,14.465802,18258100
2011-12-01,15.500000,15.860000,15.430000,15.820000,14.641649,13244000
2011-12-02,15.990000,16.049999,15.570000,15.720000,14.549099,13661600
2011-12-05,15.980000,16.000000,15.350000,15.480000,14.326974,16117400
2011-12-06,15.570000,15.600000,15.100000,15.260000,14.123362,14345800
2011-12-07,15.160000,15.280000,14.850000,15.170000,14.040063,12750400
2011-12-08,15.020000,15.270000,14.640000,14.690000,13.595817,12287200
2011-12-09,14.580000,15.020000,14.380000,14.900000,13.790175,13896000
2011-12-12,14.580000,14.640000,14.260000,14.530000,13.447735,14330200
2011-12-13,14.720000,14.900000,14.040000,14.130000,13.077529,12914900
2011-12-14,14.010000,14.090000,13.430000,13.580000,12.568496,15900500
2011-12-15,13.810000,13.900000,13.430000,13.460000,12.457435,10878700
2011-12-16,13.570000,13.830000,13.450000,13.510000,12.503712,15477900
2011-12-19,13.570000,13.730000,13.110000,13.160000,12.179779,11581900
2011-12-20,13.460000,13.950000,13.460000,13.900000,12.864659,11130200
2011-12-21,13.820000,13.970000,13.450000,13.720000,12.698068,13710600
2011-12-22,13.760000,14.350000,13.760000,14.310000,13.244121,14414000
2011-12-23,14.380000,14.400000,14.050000,14.170000,13.114550,6223700
2011-12-27,14.110000,14.280000,14.020000,14.060000,13.012742,4892800
2011-12-28,14.060000,14.090000,13.700000,13.710000,12.688812,5849000
2011-12-29,13.850000,14.000000,13.650000,13.970000,12.929446,5277800
2011-12-30,13.920000,14.070000,13.840000,13.860000,12.827640,4673900
2012-01-03,14.300000,14.400000,14.010000,14.040000,12.994231,11701100
2012-01-04,14.050000,14.260000,13.920000,14.200000,13.142314,8684300
2012-01-05,14.130000,14.780000,14.070000,14.710000,13.614330,14088700
2012-01-06,14.700000,14.710000,14.370000,14.540000,13.456992,13331300
2012-01-09,14.550000,14.820000,14.440000,14.540000,13.456992,12706100
2012-01-10,14.760000,14.770000,14.380000,14.480000,13.401456,13658200
2012-01-11,14.350000,14.480000,14.130000,14.190000,13.133060,12106800
2012-01-12,14.220000,14.230000,13.790000,14.100000,13.049762,16309100
2012-01-13,14.000000,14.030000,13.660000,13.730000,12.707322,12607500
2012-01-17,13.940000,13.940000,13.500000,13.520000,12.512964,15679400
2012-01-18,13.780000,14.090000,13.710000,13.980000,12.938703,15816900
2012-01-19,14.100000,14.370000,13.950000,14.350000,13.281140,15207800
2012-01-20,14.330000,14.500000,14.170000,14.220000,13.160826,13656800
2012-01-23,14.230000,14.620000,14.050000,14.610000,13.521777,14069800
2012-01-24,14.510000,15.000000,14.500000,14.940000,13.827196,18273000
2012-01-25,14.540000,14.890000,14.120000,14.850000,13.743901,31853800
2012-01-26,15.070000,15.240000,14.630000,14.710000,13.614330,19991800
2012-01-27,14.620000,14.990000,14.500000,14.910000,13.799432,11249900
2012-01-30,14.650000,14.870000,14.430000,14.800000,13.697624,9976900
2012-01-31,14.840000,14.850000,14.510000,14.770000,13.669857,8947500
2012-02-01,14.940000,15.100000,14.730000,14.930000,13.817945,10700500
2012-02-02,15.010000,15.550000,14.860000,15.490000,14.336228,17405900
2012-02-03,15.720000,15.950000,15.690000,15.820000,14.641649,12380800
2012-02-06,15.740000,15.760000,15.560000,15.700000,14.530591,6971700
2012-02-07,15.720000,15.830000,15.460000,15.740000,14.567608,10257400
2012-02-08,15.740000,16.620001,15.660000,16.309999,15.095154,21190300
2012-02-09,16.510000,16.600000,16.270000,16.299999,15.085896,14048600
2012-02-10,16.139999,16.200001,15.810000,15.900000,14.715692,11006700
2012-02-13,16.299999,16.360001,15.820000,16.150000,14.947068,15266700
2012-02-14,16.150000,16.379999,16.010000,16.240000,15.030365,11343900
2012-02-15,16.389999,16.900000,16.129999,16.170000,14.965582,27771400
2012-02-16,15.060000,16.580000,15.000000,16.450001,15.224727,47214700
2012-02-17,16.459999,16.570000,15.700000,15.850000,14.669415,25509000
2012-02-21,15.840000,16.320000,15.810000,15.930000,14.743457,12954400
2012-02-22,15.850000,16.240000,15.800000,15.820000,14.641649,12310800
2012-02-23,15.850000,16.000000,15.600000,15.910000,14.724942,8099200
2012-02-24,15.960000,15.980000,15.720000,15.790000,14.613883,9166700
2012-02-27,15.590000,15.660000,15.250000,15.470000,14.317719,18631700
2012-02-28,15.470000,15.650000,15.170000,15.330000,14.188148,17497100
2012-02-29,15.380000,15.640000,15.140000,15.150000,14.021555,17229900
2012-03-01,15.210000,15.430000,15.150000,15.250000,14.114105,11248600
2012-03-02,15.200000,15.600000,15.200000,15.380000,14.234423,17101900
2012-03-05,15.270000,15.300000,14.750000,14.860000,13.753155,12871200
2012-03-06,14.690000,14.810000,14.460000,14.720000,13.623584,11785000
2012-03-07,14.800000,14.870000,14.600000,14.810000,13.706879,11049600
2012-03-08,14.850000,15.010000,14.770000,14.860000,13.753155,10771300
2012-03-09,14.900000,15.010000,14.740000,14.820000,13.716134,9195900
2012-03-12,14.880000,14.980000,14.550000,14.590000,13.503265,7498700
2012-03-13,14.650000,14.870000,14.580000,14.790000,13.688369,13832200
2012-03-14,14.790000,14.820000,14.320000,14.370000,13.299651,18392700
2012-03-15,14.410000,14.660000,14.360000,14.580000,13.494012,9559500
2012-03-16,14.590000,14.660000,14.510000,14.600000,13.512524,10708500
2012-03-19,14.680000,14.750000,14.570000,14.640000,13.549541,10135000
2012-03-20,14.560000,14.560000,14.270000,14.400000,13.327418,11240400
2012-03-21,14.400000,14.590000,14.240000,14.460000,13.382948,11696000
2012-03-22,14.350000,14.560000,14.310000,14.440000,13.364439,10634300
2012-03-23,14.400000,14.590000,14.300000,14.550000,13.466246,7886400
2012-03-26,14.690000,14.790000,14.550000,14.720000,13.623584,7215000
2012-03-27,14.780000,15.000000,14.750000,14.820000,13.716134,10499200
2012-03-28,15.010000,15.360000,14.900000,15.160000,14.030810,22311200
2012-03-29,15.140000,15.350000,14.950000,15.230000,14.095595,9317500
2012-03-30,15.360000,15.490000,15.140000,15.400000,14.252933,13181000
2012-04-02,15.360000,15.490000,15.110000,15.330000,14.188148,10194400
2012-04-03,15.440000,15.460000,15.000000,15.080000,13.956767,10761900
2012-04-04,14.850000,15.040000,14.560000,14.650000,13.558796,12397400
2012-04-05,14.670000,14.850000,14.580000,14.630000,13.540288,9235600
2012-04-09,14.400000,14.490000,14.160000,14.440000,13.364439,9137600
2012-04-10,14.380000,14.580000,14.090000,14.160000,13.105297,11759000
2012-04-11,14.350000,14.650000,14.300000,14.340000,13.271889,9324000
2012-04-12,14.360000,14.760000,14.300000,14.680000,13.586561,9621700
2012-04-13,14.550000,14.630000,14.150000,14.160000,13.105297,7783100
2012-04-16,14.260000,14.300000,13.760000,13.990000,12.947957,11586700
2012-04-17,14.030000,14.200000,13.970000,14.020000,12.975723,11517400
2012-04-18,13.930000,14.000000,13.700000,13.870000,12.836898,10019100
2012-04-19,13.690000,14.210000,13.590000,13.660000,12.642537,16679700
2012-04-20,13.740000,13.780000,13.360000,13.390000,12.392650,12739800
2012-04-23,13.160000,13.290000,12.910000,13.230000,12.244564,17656100
2012-04-24,13.270000,13.380000,12.750000,12.820000,11.865105,18261000
2012-04-25,13.010000,13.180000,12.770000,13.080000,12.105740,18177800
2012-04-26,13.070000,13.200000,12.980000,13.090000,12.114991,13480200
2012-04-27,13.070000,13.150000,12.840000,12.980000,12.013186,11883900
2012-04-30,12.910000,13.070000,12.820000,13.000000,12.031697,6556700
2012-05-01,12.930000,13.370000,12.930000,13.230000,12.244564,10217000
2012-05-02,13.180000,13.230000,12.780000,12.850000,11.892871,17100200
2012-05-03,12.880000,12.960000,12.550000,12.630000,11.689256,10488400
2012-05-04,12.550000,12.620000,12.260000,12.260000,11.346816,13627300
2012-05-07,12.480000,12.690000,12.370000,12.470000,11.541173,15111000
2012-05-08,12.360000,12.540000,12.140000,12.460000,11.531922,11557800
2012-05-09,12.240000,12.610000,12.120000,12.510000,11.578194,13015200
2012-05-10,12.630000,12.650000,12.220000,12.420000,11.494897,14927300
2012-05-11,13.450000,13.680000,13.160000,13.210000,12.226056,35878500
2012-05-14,13.100000,13.330000,12.830000,13.130000,12.152014,10936800
2012-05-15,13.130000,13.420000,12.940000,13.000000,12.031697,14998500
2012-05-16,13.020000,13.170000,12.700000,12.740000,11.791061,11762100
2012-05-17,12.790000,12.910000,12.650000,12.650000,11.707766,8384100
2012-05-18,12.680000,12.740000,12.020000,12.080000,11.180222,14182200
2012-05-21,12.100000,12.350000,12.020000,12.290000,11.374582,10406500
2012-05-22,12.280000,12.300000,11.960000,12.140000,11.235756,10253500
2012-05-23,12.010000,12.460000,11.830000,12.440000,11.513409,12400000
2012-05-24,12.510000,12.530000,12.020000,12.110000,11.207987,13010500
2012-05-25,12.100000,12.500000,12.100000,12.400000,11.476389,9793800
2012-05-29,12.600000,12.800000,12.550000,12.720000,11.772552,7750000
2012-05-30,12.580000,12.670000,12.350000,12.570000,11.633727,9494800
2012-05-31,12.570000,12.620000,12.270000,12.430000,11.504153,8954800
2012-06-01,12.170000,12.290000,11.960000,11.980000,11.087671,11024600
2012-06-04,12.040000,12.110000,11.630000,11.730000,10.856294,10821400
2012-06-05,11.670000,12.100000,11.670000,12.070000,11.170966,9130600
2012-06-06,12.160000,12.420000,12.070000,12.390000,11.467134,9224200
2012-06-07,12.570000,12.640000,11.880000,11.890000,11.004375,13169500
2012-06-08,11.930000,12.160000,11.910000,12.120000,11.217242,9257700
2012-06-11,12.510000,12.730000,12.230000,12.260000,11.346816,20977000
2012-06-12,12.400000,12.630000,12.380000,12.510000,11.578194,12403200
2012-06-13,12.500000,12.530000,12.120000,12.180000,11.272774,12356900
2012-06-14,12.160000,12.260000,11.910000,12.030000,11.133947,14747100
2012-06-15,12.120000,12.300000,12.010000,12.290000,11.374582,9632200
2012-06-18,12.200000,12.500000,12.100000,12.400000,11.476389,7610600
2012-06-19,12.910000,13.430000,12.850000,13.240000,12.253820,24011900
2012-06-20,13.370000,13.700000,13.290000,13.450000,12.448180,24318000
2012-06-21,13.440000,13.440000,12.810000,12.840000,11.883615,12909400
2012-06-22,13.000000,13.150000,12.820000,13.000000,12.031697,21634000
2012-06-25,13.010000,13.050000,12.540000,12.590000,11.652235,12365400
2012-06-26,12.660000,12.820000,12.480000,12.730000,11.781806,10928800
2012-06-27,12.740000,13.230000,12.740000,13.140000,12.161269,12651600
2012-06-28,13.020000,13.320000,12.910000,13.240000,12.253820,13647400
2012-06-29,13.550000,13.850000,13.540000,13.820000,12.790620,15412700
2012-07-02,13.890000,13.900000,13.340000,13.450000,12.448180,14542100
2012-07-03,13.450000,13.830000,13.440000,13.800000,12.772108,5482100
2012-07-05,13.710000,13.770000,13.450000,13.660000,12.642537,7001900
2012-07-06,13.560000,13.600000,13.250000,13.400000,12.401902,9569000
2012-07-09,13.320000,13.380000,13.110000,13.220000,12.235312,7658400
2012-07-10,13.080000,13.470000,12.720000,12.820000,11.865105,12800700
2012-07-11,12.860000,13.020000,12.550000,12.610000,11.670746,12130400
2012-07-12,12.470000,12.490000,12.290000,12.400000,11.476389,11804000
2012-07-13,12.410000,12.620000,12.330000,12.560000,11.624471,8106500
2012-07-16,12.480000,12.700000,12.360000,12.600000,11.661491,8361500
2012-07-17,12.640000,12.710000,12.160000,12.370000,11.448624,11186900
2012-07-18,12.340000,13.240000,12.280000,13.060000,12.087229,15400200
2012-07-19,13.150000,13.360000,13.060000,13.190000,12.207544,10075900
2012-07-20,13.110000,13.200000,12.670000,12.810000,11.855849,11275000
2012-07-23,12.470000,13.070000,12.330000,12.980000,12.013186,11289600
2012-07-24,13.000000,13.080000,12.690000,12.840000,11.883615,8779100
2012-07-25,12.800000,13.220000,12.740000,13.090000,12.114991,10376100
2012-07-26,13.330000,13.480000,13.050000,13.150000,12.170524,8461000
2012-07-27,13.200000,13.520000,13.100000,13.480000,12.475944,9412900
2012-07-30,13.480000,13.650000,13.220000,13.330000,12.337117,9088800
2012-07-31,13.330000,13.730000,13.310000,13.540000,12.531474,9694700
2012-08-01,13.620000,13.750000,13.330000,13.390000,12.392650,8397800
2012-08-02,13.320000,13.640000,13.100000,13.440000,12.438923,9197800
2012-08-03,13.650000,13.860000,13.330000,13.720000,12.698068,8163700
2012-08-06,13.850000,14.080000,13.830000,14.010000,12.966466,9008100
2012-08-07,14.180000,14.300000,14.070000,14.150000,13.096040,10183500
2012-08-08,14.140000,14.380000,14.100000,14.230000,13.170080,12926600
2012-08-09,14.250000,14.740000,14.230000,14.710000,13.614330,20557500
2012-08-10,15.100000,15.220000,14.430000,14.620000,13.531032,31968600
2012-08-13,14.640000,14.820000,14.580000,14.810000,13.706879,11181100
2012-08-14,14.860000,14.880000,14.530000,14.590000,13.503265,9720700
2012-08-15,14.640000,14.760000,14.410000,14.480000,13.401456,14860100
2012-08-16,14.610000,14.830000,14.560000,14.780000,13.679114,9275200
2012-08-17,14.780000,14.780000,14.520000,14.650000,13.558796,7746600
2012-08-20,14.600000,14.670000,14.430000,14.650000,13.558796,7859800
2012-08-21,14.700000,14.790000,14.460000,14.610000,13.521777,8506200
2012-08-22,14.520000,14.700000,14.470000,14.640000,13.549541,7838900
2012-08-23,14.610000,14.620000,14.250000,14.310000,13.244121,9476000
2012-08-24,14.310000,14.670000,14.280000,14.600000,13.512524,8693100
2012-08-27,14.590000,14.630000,14.340000,14.350000,13.281140,8523600
2012-08-28,14.240000,14.430000,14.210000,14.290000,13.225613,7769100
2012-08-29,14.280000,14.410000,14.250000,14.320000,13.253376,6260300
2012-08-30,14.290000,14.340000,13.980000,14.050000,13.003490,7687200
2012-08-31,14.150000,14.250000,13.890000,14.030000,12.984977,12126600
2012-09-04,13.800000,13.850000,13.150000,13.280000,12.290840,17361300
2012-09-05,13.330000,13.520000,13.180000,13.320000,12.327860,12006400
2012-09-06,13.420000,14.090000,13.410000,13.730000,12.707322,16432400
2012-09-07,13.380000,13.490000,12.950000,13.400000,12.401902,19526600
2012-09-10,13.370000,13.560000,13.250000,13.280000,12.290840,9277700
2012-09-11,13.270000,13.650000,13.220000,13.440000,12.438923,9570200
2012-09-12,13.550000,13.660000,13.420000,13.590000,12.577751,8065200
2012-09-13,13.710000,13.760000,13.420000,13.680000,12.661047,10845900
2012-09-14,13.670000,14.080000,13.670000,13.840000,12.809130,8486700
2012-09-17,13.870000,13.870000,13.310000,13.460000,12.457435,12333700
2012-09-18,13.310000,13.710000,13.300000,13.550000,12.540729,8998800
2012-09-19,13.580000,13.900000,13.420000,13.710000,12.688812,11298400
2012-09-20,13.680000,13.750000,13.500000,13.610000,12.596261,8014900
2012-09-21,13.630000,13.750000,13.580000,13.670000,12.651793,8503400
2012-09-24,13.450000,13.680000,13.430000,13.660000,12.642537,8945800
2012-09-25,13.840000,13.900000,13.390000,13.410000,12.411159,12038600
2012-09-26,13.360000,13.370000,13.020000,13.180000,12.198291,10920300
2012-09-27,13.210000,13.300000,13.100000,13.280000,12.290840,13972200
2012-09-28,13.220000,13.530000,13.050000,13.340000,12.346373,12137700
2012-10-01,13.400000,13.480000,13.070000,13.120000,12.142759,12605900
2012-10-02,13.210000,13.210000,13.020000,13.170000,12.189035,7387300
2012-10-03,13.200000,13.240000,12.970000,13.040000,12.068719,10771800
2012-10-04,13.070000,13.700000,13.000000,13.620000,12.605517,12565200
2012-10-05,13.660000,13.800000,13.250000,13.300000,12.309353,12076700
2012-10-08,13.250000,13.310000,13.070000,13.170000,12.189035,6014900
2012-10-09,13.150000,13.190000,12.850000,12.890000,11.929889,9159000
2012-10-10,12.830000,12.890000,12.620000,12.670000,11.726276,8164200
2012-10-11,12.790000,12.830000,12.640000,12.740000,11.791061,8012900
2012-10-12,12.650000,12.750000,12.550000,12.630000,11.689256,6517400
2012-10-15,12.650000,12.800000,12.500000,12.790000,11.837342,6239500
2012-10-16,12.900000,13.200000,12.780000,13.160000,12.179779,9192400
2012-10-17,13.000000,13.120000,12.870000,13.060000,12.087229,9793800
2012-10-18,13.030000,13.030000,12.810000,12.860000,11.902123,6369300
2012-10-19,12.670000,12.760000,12.040000,12.110000,11.207987,17735300
2012-10-22,12.160000,12.230000,11.870000,11.970000,11.078419,12021000
2012-10-23,11.860000,12.410000,11.830000,12.330000,11.411600,14348700
2012-10-24,12.410000,12.460000,12.050000,12.170000,11.263521,8322900
2012-10-25,12.270000,12.400000,12.130000,12.180000,11.272774,7683900
2012-10-26,12.200000,12.270000,12.050000,12.050000,11.152459,9734400
2012-10-31,12.100000,12.200000,11.950000,11.980000,11.087671,8677800
2012-11-01,12.040000,12.560000,12.030000,12.550000,11.615216,11830500
2012-11-02,12.680000,12.700000,12.410000,12.490000,11.559683,6417500
2012-11-05,12.460000,13.070000,12.460000,13.020000,12.050210,11121000
2012-11-06,13.050000,13.050000,12.790000,13.010000,12.040955,8770100
2012-11-07,12.910000,12.990000,12.550000,12.610000,11.670746,8115500
2012-11-08,12.750000,13.080000,12.650000,12.680000,11.735536,20975600
2012-11-09,12.750000,12.900000,12.150000,12.190000,11.282030,21157000
2012-11-12,12.210000,12.260000,11.800000,11.920000,11.032143,16090600
2012-11-13,11.860000,12.130000,11.820000,11.830000,10.948846,12303000
2012-11-14,11.900000,12.020000,11.530000,11.540000,10.680446,15482500
2012-11-15,11.610000,11.910000,11.510000,11.590000,10.726722,11667200
2012-11-16,11.590000,11.630000,11.150000,11.380000,10.532364,15613800
2012-11-19,11.590000,11.740000,11.450000,11.700000,10.828526,10102300
2012-11-20,11.580000,11.630000,11.370000,11.490000,10.702775,8424400
2012-11-21,11.490000,11.850000,11.480000,11.820000,11.010168,10557800
2012-11-23,11.870000,12.040000,11.810000,11.900000,11.084687,6923300
2012-11-26,11.920000,12.140000,11.900000,12.110000,11.280297,9115000
2012-11-27,12.060000,12.340000,11.960000,12.160000,11.326873,11285100
2012-11-28,12.110000,12.320000,11.960000,12.260000,11.420021,9958300
2012-11-29,12.280000,12.340000,12.000000,12.040000,11.215091,12217200
2012-11-30,12.030000,12.120000,11.900000,11.970000,11.149891,11512600
2012-12-03,12.120000,12.120000,11.720000,11.750000,10.944963,9784500
2012-12-04,11.770000,12.120000,11.700000,12.100000,11.270984,13201700
2012-12-05,12.000000,12.080000,11.790000,11.960000,11.140575,15825600
2012-12-06,11.930000,12.060000,11.890000,11.980000,11.159203,10322400
2012-12-07,11.990000,12.050000,11.820000,11.960000,11.140575,8457200
2012-12-10,11.960000,12.450000,11.930000,12.360000,11.513167,12841100
2012-12-11,12.400000,12.810000,12.370000,12.650000,11.783299,20418100
2012-12-12,12.690000,12.760000,12.470000,12.520000,11.662207,9985100
2012-12-13,12.500000,12.770000,12.410000,12.530000,11.671519,9438900
2012-12-14,12.580000,12.720000,12.490000,12.590000,11.727410,8466500
2012-12-17,12.560000,12.630000,12.350000,12.540000,11.680838,11130800
2012-12-18,12.540000,12.700000,12.500000,12.560000,11.699467,10410900
2012-12-19,12.650000,12.800000,12.600000,12.650000,11.783299,11463600
2012-12-20,12.700000,12.710000,12.500000,12.640000,11.773988,8358300
2012-12-21,12.470000,12.470000,12.210000,12.350000,11.503856,11554300
2012-12-24,12.340000,12.380000,12.210000,12.250000,11.410707,3184400
2012-12-26,12.220000,12.420000,12.190000,12.240000,11.401391,4918500
2012-12-27,12.260000,12.280000,12.020000,12.160000,11.326873,7495100
2012-12-28,12.050000,12.290000,12.030000,12.100000,11.270984,5515000
2012-12-31,12.060000,12.310000,12.030000,12.260000,11.420021,8161500
2013-01-02,12.560000,12.730000,12.510000,12.720000,11.848505,11970900
2013-01-03,12.720000,12.870000,12.580000,12.730000,11.857819,7472200
2013-01-04,12.750000,13.190000,12.710000,13.150000,12.249041,13124200
2013-01-07,13.140000,13.180000,12.680000,12.770000,11.895081,15268300
2013-01-08,12.800000,12.840000,12.400000,12.490000,11.634263,11660600
2013-01-09,12.590000,12.650000,12.130000,12.210000,11.373447,17375500
2013-01-10,12.320000,12.380000,12.160000,12.230000,11.392076,12659200
2013-01-11,12.280000,12.290000,12.090000,12.210000,11.373447,12829300
2013-01-14,12.290000,12.290000,12.060000,12.200000,11.364130,7642100
2013-01-15,12.140000,12.140000,11.910000,11.980000,11.159203,9397200
2013-01-16,11.960000,12.190000,11.960000,12.090000,11.261669,8434400
2013-01-17,12.130000,12.300000,12.100000,12.250000,11.410707,14518400
2013-01-18,12.250000,12.250000,12.020000,12.170000,11.336187,9927200
2013-01-22,12.160000,12.270000,12.050000,12.110000,11.280297,7705600
2013-01-23,12.150000,12.160000,12.000000,12.130000,11.298926,10545200
2013-01-24,12.090000,12.240000,12.030000,12.190000,11.354815,9924500
2013-01-25,12.210000,12.420000,12.150000,12.410000,11.559747,9848000
2013-01-28,12.470000,12.690000,12.440000,12.610000,11.746040,10562300
2013-01-29,12.560000,12.590000,12.290000,12.340000,11.494538,9721800
2013-01-30,12.350000,12.520000,12.280000,12.320000,11.475911,7189800
2013-01-31,12.320000,12.460000,12.180000,12.260000,11.420021,11763600
2013-02-01,12.360000,12.410000,12.260000,12.370000,11.522485,7220400
2013-02-04,12.300000,12.550000,12.150000,12.160000,11.326873,12793600
2013-02-05,12.220000,12.510000,12.180000,12.440000,11.587689,9182400
2013-02-06,12.140000,12.440000,12.070000,12.340000,11.494538,13267200
2013-02-07,12.300000,12.400000,12.170000,12.290000,11.447966,11000000
2013-02-08,12.370000,12.470000,12.290000,12.370000,11.522485,7680800
2013-02-11,12.470000,12.640000,12.350000,12.510000,11.652892,10207700
2013-02-12,12.400000,12.570000,12.380000,12.430000,11.578375,6945100
2013-02-13,12.440000,12.670000,12.330000,12.370000,11.522485,21409900
2013-02-14,12.200000,12.740000,12.050000,12.730000,11.857819,22052400
2013-02-15,12.700000,12.790000,12.450000,12.730000,11.857819,18346500
2013-02-19,12.740000,12.750000,12.480000,12.560000,11.699467,10838800
2013-02-20,12.600000,12.800000,12.340000,12.380000,11.531799,17825300
2013-02-21,12.360000,12.500000,12.260000,12.290000,11.447966,14510200
2013-02-22,12.370000,12.530000,12.300000,12.520000,11.662207,9253700
2013-02-25,12.550000,12.650000,12.280000,12.300000,11.457280,16111100
2013-02-26,12.250000,12.440000,12.210000,12.370000,11.593175,12187600
2013-02-27,12.370000,12.690000,12.340000,12.600000,11.808730,11924500
2013-02-28,12.560000,12.850000,12.510000,12.660000,11.864965,14784800
2013-03-01,12.570000,12.750000,12.460000,12.710000,11.911822,9734900
2013-03-04,12.620000,12.780000,12.520000,12.660000,11.864965,8842000
2013-03-05,12.730000,12.820000,12.670000,12.800000,11.996166,9154200
2013-03-06,12.880000,13.000000,12.730000,12.790000,11.986802,8573200
2013-03-07,12.860000,12.990000,12.690000,12.760000,11.958680,7870600
2013-03-08,12.790000,12.880000,12.730000,12.820000,12.014915,6161600
2013-03-11,12.690000,12.750000,12.590000,12.700000,11.902450,7493700
2013-03-12,12.680000,12.780000,12.560000,12.740000,11.939939,7771400
2013-03-13,12.740000,12.960000,12.620000,12.740000,11.939939,12146000
2013-03-14,12.820000,12.860000,12.670000,12.750000,11.949310,9582600
2013-03-15,12.750000,12.750000,12.590000,12.640000,11.846218,8894400
2013-03-18,12.560000,12.670000,12.460000,12.550000,11.761870,7457800
2013-03-19,12.560000,12.620000,12.380000,12.470000,11.686893,8887000
2013-03-20,12.590000,12.660000,12.480000,12.620000,11.827474,8514700
2013-03-21,12.550000,12.570000,12.400000,12.420000,11.640034,8475800
2013-03-22,12.460000,12.530000,12.410000,12.480000,11.696265,5811900
2013-03-25,12.550000,12.560000,12.320000,12.410000,11.630664,9051900
2013-03-26,12.440000,12.510000,12.390000,12.500000,11.715012,5813500
2013-03-27,12.450000,12.720000,12.420000,12.650000,11.855590,6373600
2013-03-28,12.620000,12.840000,12.530000,12.830000,12.024289,8731900
2013-04-01,12.800000,12.800000,12.320000,12.410000,11.630664,11070700
2013-04-02,12.420000,12.450000,12.200000,12.280000,11.508826,9288100
2013-04-03,12.260000,12.330000,12.040000,12.130000,11.368246,8828900
2013-04-04,12.090000,12.290000,12.050000,12.250000,11.480711,7366900
2013-04-05,12.070000,12.460000,12.040000,12.460000,11.677524,13783800
2013-04-08,12.470000,12.470000,12.200000,12.430000,11.649407,8166500
2013-04-09,12.440000,12.720000,12.350000,12.630000,11.836847,9514600
2013-04-10,12.640000,12.850000,12.610000,12.830000,12.024289,9617200
2013-04-11,12.650000,12.850000,12.300000,12.770000,11.968055,24230500
2013-04-12,12.830000,13.230000,12.720000,13.090000,12.267958,19263700
2013-04-15,13.050000,13.090000,12.740000,12.820000,12.014915,10760500
2013-04-16,12.940000,13.050000,12.870000,12.960000,12.146123,11721100
2013-04-17,12.860000,12.980000,12.710000,12.790000,11.986802,13323700
2013-04-18,12.820000,12.900000,12.540000,12.540000,11.752500,10063700
2013-04-19,12.530000,12.610000,12.370000,12.570000,11.780614,7575700
2013-04-22,12.560000,12.700000,12.460000,12.590000,11.799358,6139200
2013-04-23,12.700000,13.050000,12.680000,12.920000,12.108632,9423700
2013-04-24,12.960000,13.470000,12.950000,13.360000,12.521003,13913900
2013-04-25,13.430000,13.500000,13.310000,13.470000,12.624096,8830600
2013-04-26,13.450000,13.470000,13.340000,13.410000,12.567863,8108300
2013-04-29,13.430000,13.620000,13.370000,13.570000,12.717815,6742800
2013-04-30,13.600000,13.770000,13.510000,13.770000,12.905254,6917800
2013-05-01,13.770000,13.860000,13.600000,13.650000,12.792790,8532900
2013-05-02,13.640000,13.850000,13.560000,13.810000,12.942741,8087000
2013-05-03,13.900000,13.970000,13.820000,13.870000,12.998977,7346600
2013-05-06,13.870000,13.950000,13.750000,13.830000,12.961487,5427900
2013-05-07,13.830000,13.860000,13.520000,13.650000,12.792790,11201700
2013-05-08,13.670000,13.980000,13.620000,13.900000,13.027090,8350800
2013-05-09,13.650000,13.970000,13.630000,13.910000,13.036464,14170000
2013-05-10,14.200000,14.600000,14.200000,14.540000,13.626901,21528400
2013-05-13,14.440000,14.500000,14.180000,14.240000,13.345739,7245300
2013-05-14,14.410000,14.570000,14.270000,14.450000,13.542554,11353500
2013-05-15,14.380000,14.750000,14.380000,14.700000,13.776852,7829300
2013-05-16,14.680000,14.830000,14.580000,14.630000,13.711250,7709200
2013-05-17,14.700000,14.970000,14.590000,14.870000,13.936177,7802900
2013-05-20,14.810000,14.900000,14.760000,14.840000,13.908061,5909500
2013-05-21,14.850000,14.980000,14.680000,14.920000,14.054066,8944600
2013-05-22,14.980000,14.980000,14.340000,14.400000,13.564244,12010100
2013-05-23,14.230000,14.680000,14.190000,14.630000,13.780897,9847100
2013-05-24,14.550000,14.670000,14.380000,14.540000,13.696119,7082600
2013-05-28,14.650000,14.690000,14.390000,14.530000,13.686699,6982500
2013-05-29,14.440000,14.530000,14.380000,14.440000,13.601923,8376300
2013-05-30,14.420000,14.780000,14.380000,14.630000,13.780897,7112600
2013-05-31,14.550000,14.760000,14.470000,14.470000,13.630183,14437700
2013-06-03,14.490000,14.600000,14.150000,14.450000,13.611341,11111700
2013-06-04,14.540000,14.800000,14.380000,14.470000,13.630183,9091900
2013-06-05,14.450000,14.560000,14.120000,14.160000,13.338175,11613000
2013-06-06,14.160000,14.360000,14.150000,14.250000,13.422951,8526100
2013-06-07,14.350000,14.540000,14.290000,14.450000,13.611341,6864600
2013-06-10,14.410000,14.530000,14.330000,14.440000,13.601923,5603700
2013-06-11,14.250000,14.450000,14.170000,14.170000,13.347591,7408400
2013-06-12,14.240000,14.360000,13.970000,14.050000,13.234560,7814700
2013-06-13,14.000000,14.440000,13.990000,14.370000,13.535985,5906400
2013-06-14,14.420000,14.440000,14.250000,14.350000,13.517149,5900300
2013-06-17,14.460000,14.620000,14.380000,14.490000,13.649022,6383400
2013-06-18,14.560000,14.720000,14.280000,14.400000,13.564244,12169300
2013-06-19,14.530000,15.480000,14.480000,14.840000,13.978707,28989700
2013-06-20,14.720000,14.740000,14.340000,14.440000,13.601923,15717400
2013-06-21,14.520000,14.570000,14.180000,14.420000,13.583083,17855700
2013-06-24,14.210000,14.390000,13.910000,14.120000,13.300495,14519300
2013-06-25,14.270000,14.300000,14.070000,14.220000,13.394695,11434000
2013-06-26,14.380000,14.400000,14.080000,14.140000,13.319337,14493800
2013-06-27,14.180000,14.200000,13.860000,14.010000,13.196878,20200900
2013-06-28,14.010000,14.180000,13.830000,14.040000,13.225141,10788400
2013-07-01,14.140000,14.170000,14.010000,14.100000,13.281655,4988100
2013-07-02,14.020000,14.300000,13.960000,14.090000,13.272236,6409800
2013-07-03,13.970000,14.300000,13.970000,14.130000,13.309916,3509700
2013-07-05,14.170000,14.270000,14.080000,14.240000,13.413530,4617100
2013-07-08,14.280000,14.350000,14.090000,14.170000,13.347591,6552100
2013-07-09,14.200000,14.330000,14.160000,14.240000,13.413530,3934100
2013-07-10,14.240000,14.470000,14.200000,14.430000,13.592507,5211700
2013-07-11,14.510000,14.650000,14.480000,14.630000,13.780897,5995800
2013-07-12,14.600000,14.780000,14.550000,14.640000,13.790315,5409000
2013-07-15,14.670000,14.670000,14.380000,14.610000,13.762056,5033300
2013-07-16,14.670000,14.770000,14.600000,14.690000,13.837413,4064000
2013-07-17,14.690000,14.740000,14.570000,14.610000,13.762056,4152500
2013-07-18,14.590000,14.640000,14.360000,14.550000,13.705538,8612200
2013-07-19,14.460000,14.530000,14.090000,14.240000,13.413530,12013300
2013-07-22,14.350000,14.480000,14.170000,14.230000,13.404108,7309600
2013-07-23,14.410000,14.410000,14.140000,14.210000,13.385272,6169800
2013-07-24,14.340000,14.380000,14.190000,14.210000,13.385272,7106300
2013-07-25,14.200000,14.450000,14.100000,14.260000,13.432370,6083000
2013-07-26,14.090000,14.290000,14.090000,14.200000,13.375853,5684000
2013-07-29,14.170000,14.350000,14.130000,14.170000,13.347591,4488500
2013-07-30,14.220000,14.600000,14.210000,14.410000,13.573665,6651900
2013-07-31,14.340000,14.580000,14.330000,14.440000,13.601923,6754000
2013-08-01,14.490000,14.670000,14.320000,14.640000,13.790315,6941200
2013-08-02,14.610000,14.790000,14.510000,14.760000,13.903353,5240700
2013-08-05,14.720000,14.880000,14.640000,14.830000,13.969288,4629700
2013-08-06,14.840000,14.870000,14.580000,14.610000,13.762056,5165200
2013-08-07,14.530000,14.750000,14.520000,14.600000,13.752641,6109500
2013-08-08,14.680000,14.770000,14.510000,14.700000,13.846831,8642400
2013-08-09,14.120000,14.710000,14.110000,14.490000,13.649022,22655600
2013-08-12,13.900000,14.580000,13.110000,14.370000,13.535985,6439200
2013-08-13,14.390000,14.480000,14.300000,14.420000,13.583083,4936700
2013-08-14,14.390000,15.120000,14.380000,15.030000,14.157681,20712700
2013-08-15,14.870000,15.250000,14.810000,15.130000,14.251877,18090400
2013-08-16,15.100000,15.400000,15.070000,15.190000,14.308393,16511400
2013-08-19,15.100000,15.150000,14.940000,14.950000,14.082324,9835800
2013-08-20,14.870000,15.050000,14.850000,14.950000,14.153326,5854800
2013-08-21,14.860000,15.050000,14.820000,14.880000,14.087059,6538500
2013-08-22,14.870000,15.100000,14.870000,14.960000,14.162795,3225400
2013-08-23,14.980000,15.100000,14.930000,14.960000,14.162795,6128000
2013-08-26,14.970000,15.030000,14.930000,14.990000,14.191192,7503800
2013-08-27,14.850000,14.950000,14.750000,14.800000,14.011321,6936600
2013-08-28,14.830000,14.940000,14.740000,14.800000,14.011321,7970600
2013-08-29,14.750000,14.910000,14.710000,14.770000,13.982918,6905400
2013-08-30,14.780000,14.820000,14.680000,14.750000,13.963984,9453000
2013-09-03,14.790000,14.970000,14.670000,14.760000,13.973454,7117000
2013-09-04,14.760000,14.990000,14.740000,14.900000,14.105989,5552000
2013-09-05,14.840000,15.000000,14.830000,14.940000,14.143860,4372600
2013-09-06,14.950000,15.030000,14.770000,14.880000,14.087059,5668900
2013-09-09,15.000000,15.130000,14.960000,15.130000,14.323735,6160200
2013-09-10,15.240000,15.460000,15.170000,15.450000,14.626683,7303300
2013-09-11,15.430000,15.750000,15.320000,15.710000,14.872828,9904100
2013-09-12,15.630000,15.900000,15.630000,15.700000,14.863362,7595200
2013-09-13,15.750000,15.870000,15.640000,15.800000,14.958030,3992400
2013-09-16,15.930000,16.040001,15.750000,15.810000,14.967499,5785300
2013-09-17,15.870000,15.990000,15.800000,15.860000,15.014835,4215200
2013-09-18,15.870000,16.040001,15.790000,16.000000,15.147372,6704200
2013-09-19,16.070000,16.100000,15.860000,15.930000,15.081105,5689300
2013-09-20,15.970000,16.070000,15.760000,15.790000,14.948565,8900900
2013-09-23,15.780000,15.910000,15.550000,15.640000,14.806558,6781100
2013-09-24,15.650000,15.760000,15.560000,15.700000,14.863362,5743300
2013-09-25,15.670000,15.840000,15.600000,15.720000,14.882296,5828900
2013-09-26,15.760000,15.790000,15.580000,15.670000,14.834960,3720400
2013-09-27,15.550000,15.680000,15.490000,15.580000,14.749754,3798000
2013-09-30,15.420000,15.670000,15.330000,15.560000,14.730823,5666000
2013-10-01,15.580000,15.650000,15.460000,15.550000,14.721354,5674400
2013-10-02,15.390000,15.600000,15.390000,15.540000,14.711887,4050900
2013-10-03,15.550000,15.690000,15.310000,15.380000,14.560412,10919200
2013-10-04,15.360000,15.720000,15.320000,15.590000,14.759222,6155700
2013-10-07,15.530000,15.700000,15.450000,15.590000,14.759222,4248800
2013-10-08,15.550000,15.770000,15.340000,15.460000,14.636149,7267800
2013-10-09,15.560000,15.570000,15.140000,15.220000,14.408940,6896500
2013-10-10,15.330000,15.430000,15.220000,15.390000,14.569881,5587100
2013-10-11,15.150000,15.340000,15.100000,15.260000,14.446809,5342600
2013-10-14,15.220000,15.490000,15.220000,15.490000,14.664552,4165700
2013-10-15,15.490000,15.580000,15.400000,15.410000,14.588814,5220500
2013-10-16,15.500000,15.660000,15.480000,15.600000,14.768688,5251800
2013-10-17,15.480000,15.670000,15.480000,15.630000,14.797091,5333100
2013-10-18,15.600000,15.860000,15.540000,15.810000,14.967499,6376700
2013-10-21,16.000000,16.010000,15.800000,15.850000,15.005366,4875200
2013-10-22,15.850000,15.860000,15.630000,15.770000,14.929631,4486300
2013-10-23,15.740000,15.740000,15.450000,15.500000,14.674018,6305400
2013-10-24,15.540000,15.640000,15.360000,15.390000,14.569881,5910900
2013-10-25,15.470000,15.480000,15.190000,15.240000,14.427872,8262300
2013-10-28,15.220000,15.290000,15.000000,15.210000,14.399472,9850600
2013-10-29,15.190000,15.260000,15.050000,15.230000,14.418406,9698800
2013-10-30,15.280000,15.350000,15.090000,15.220000,14.408940,5100800
2013-10-31,15.240000,15.350000,15.160000,15.190000,14.380537,7334200
2013-11-01,15.270000,15.330000,15.150000,15.260000,14.446809,5153400
2013-11-04,15.310000,15.310000,14.790000,14.820000,14.030255,10256600
2013-11-05,14.730000,14.870000,14.570000,14.800000,14.011321,10559200
2013-11-06,14.800000,14.910000,14.650000,14.900000,14.105989,4951100
2013-11-07,14.850000,14.890000,14.520000,14.550000,13.774642,13826900
2013-11-08,15.000000,15.610000,14.940000,15.560000,14.730823,18363300
2013-11-11,15.500000,15.730000,15.470000,15.690000,14.853892,7440600
2013-11-12,15.760000,15.850000,15.540000,15.720000,14.882296,7900800
2013-11-13,15.680000,16.150000,15.650000,16.150000,15.289380,8319800
2013-11-14,16.100000,16.320000,16.090000,16.219999,15.355650,7699500
2013-11-15,16.280001,16.299999,16.010000,16.170000,15.308316,11258300
2013-11-18,15.820000,15.960000,15.740000,15.780000,14.939096,7923700
2013-11-19,15.620000,15.760000,15.420000,15.440000,14.696378,5167900
2013-11-20,15.450000,15.490000,15.180000,15.210000,14.477456,5119400
2013-11-21,15.230000,15.360000,15.160000,15.330000,14.591679,5339200
2013-11-22,15.350000,15.350000,15.150000,15.180000,14.448900,3966700
2013-11-25,15.180000,15.530000,15.180000,15.510000,14.763006,6205200
2013-11-26,15.680000,15.810000,15.580000,15.640000,14.886745,18829400
2013-11-27,15.630000,15.750000,15.530000,15.700000,14.943857,4531800
2013-11-29,15.700000,15.740000,15.500000,15.600000,14.848674,2924100
2013-12-02,15.540000,15.860000,15.510000,15.750000,14.991447,9346800
2013-12-03,15.750000,15.960000,15.640000,15.740000,14.981932,7264000
2013-12-04,15.700000,15.990000,15.660000,15.960000,15.191336,12329400
2013-12-05,15.990000,15.990000,15.680000,15.700000,14.943857,6795300
2013-12-06,15.890000,15.890000,15.430000,15.470000,14.724933,7025000
2013-12-09,15.470000,15.520000,15.180000,15.210000,14.477456,9630500
2013-12-10,15.210000,15.630000,15.190000,15.560000,14.810599,13106700
2013-12-11,15.590000,15.610000,15.380000,15.410000,14.667824,10353900
2013-12-12,15.360000,15.440000,15.080000,15.110000,14.382273,6468100
2013-12-13,15.140000,15.250000,15.000000,15.020000,14.296606,4614700
2013-12-16,15.030000,15.170000,15.020000,15.040000,14.315645,5940500
2013-12-17,15.030000,15.150000,14.900000,15.110000,14.382273,6852600
2013-12-18,15.140000,15.350000,14.950000,15.320000,14.582159,10655800
2013-12-19,15.300000,15.400000,15.200000,15.380000,14.639268,6463600
2013-12-20,15.410000,15.700000,15.370000,15.690000,14.934338,9552000
2013-12-23,15.780000,15.910000,15.650000,15.780000,15.020003,4214200
2013-12-24,15.870000,15.870000,15.660000,15.820000,15.058077,1990000
2013-12-26,15.880000,15.930000,15.630000,15.670000,14.915301,4223000
2013-12-27,15.750000,15.790000,15.660000,15.760000,15.000966,5274400
2013-12-30,15.770000,15.980000,15.750000,15.970000,15.200851,6204500
2013-12-31,16.000000,16.100000,15.900000,16.020000,15.248446,5894400
2014-01-02,15.920000,15.980000,15.720000,15.860000,15.096152,6502300
2014-01-03,15.890000,15.920000,15.620000,15.670000,14.915301,6483300
2014-01-06,15.830000,16.000000,15.680000,15.880000,15.115188,10237300
2014-01-07,16.040001,16.200001,15.930000,16.139999,15.362666,8332200
2014-01-08,16.200001,16.440001,16.139999,16.360001,15.572070,7704800
2014-01-09,16.110001,16.139999,15.700000,15.750000,14.991447,7304300
2014-01-10,15.800000,15.910000,15.590000,15.730000,14.972411,5462300
2014-01-13,15.730000,15.830000,15.330000,15.360000,14.620232,6083300
2014-01-14,15.440000,15.870000,15.370000,15.840000,15.077115,6045700
2014-01-15,15.910000,16.070000,15.840000,16.010000,15.238929,4376100
2014-01-16,16.010000,16.090000,15.940000,16.059999,15.286519,5516300
2014-01-17,16.059999,16.250000,15.890000,15.990000,15.219892,8510000
2014-01-21,16.010000,16.150000,15.880000,16.049999,15.276999,6151900
2014-01-22,16.080000,16.100000,15.840000,16.030001,15.257964,8448500
2014-01-23,15.980000,16.150000,15.850000,15.970000,15.200851,4625700
2014-01-24,15.840000,15.900000,15.560000,15.560000,14.810599,6167400
2014-01-27,15.560000,15.780000,15.370000,15.460000,14.715416,5845300
2014-01-28,15.430000,15.620000,15.370000,15.610000,14.858193,4199900
2014-01-29,15.550000,15.640000,15.450000,15.460000,14.715416,4073600
2014-01-30,15.550000,15.750000,15.500000,15.720000,14.962893,5072400
2014-01-31,15.500000,15.790000,15.490000,15.700000,14.943857,8383700
2014-02-03,15.810000,15.830000,15.430000,15.490000,14.743970,10793200
2014-02-04,15.480000,15.610000,15.400000,15.580000,14.829636,7017300
2014-02-05,15.470000,15.520000,15.320000,15.440000,14.696378,5366900
2014-02-06,15.460000,15.680000,15.440000,15.640000,14.886745,4209500
2014-02-07,15.680000,15.890000,15.540000,15.870000,15.105667,3931200
2014-02-10,15.850000,16.129999,15.840000,15.920000,15.153262,8109300
2014-02-11,16.010000,16.290001,15.930000,16.250000,15.467368,5884600
2014-02-12,16.299999,16.950001,16.299999,16.830000,16.019436,18613200
2014-02-13,17.250000,17.459999,16.950001,17.360001,16.523907,22570900
2014-02-14,17.200001,17.950001,17.190001,17.910000,17.047417,20438400
2014-02-18,17.920000,17.980000,17.750000,17.900000,17.037903,10724700
2014-02-19,17.900000,18.299999,17.820000,18.139999,17.266336,11258500
2014-02-20,18.180000,18.820000,18.150000,18.780001,17.875525,9952200
2014-02-21,18.750000,18.990000,18.520000,18.639999,17.742262,11276300
2014-02-24,18.600000,19.049999,18.430000,18.910000,17.999254,10077800
2014-02-25,18.799999,18.879999,18.540001,18.740000,17.917986,6054600
2014-02-26,18.700001,18.980000,18.650000,18.709999,17.889301,9022100
2014-02-27,18.709999,18.900000,18.450001,18.500000,17.688515,9721200
2014-02-28,18.400000,18.580000,18.110001,18.379999,17.573780,8042300
2014-03-03,17.969999,18.290001,17.809999,18.290001,17.487722,9398700
2014-03-04,18.379999,18.600000,18.350000,18.480000,17.669390,6508600
2014-03-05,18.459999,18.650000,18.379999,18.639999,17.822372,6036800
2014-03-06,18.670000,18.770000,18.350000,18.379999,17.573780,7253600
2014-03-07,18.459999,18.490000,18.219999,18.360001,17.554655,6711300
2014-03-10,18.299999,18.379999,18.010000,18.090000,17.296495,7522200
2014-03-11,18.180000,18.430000,18.120001,18.270000,17.468601,7430500
2014-03-12,18.180000,18.430000,18.110001,18.320000,17.516407,5985700
2014-03-13,18.360001,18.430000,17.650000,17.740000,16.961849,9629300
2014-03-14,17.559999,17.980000,17.559999,17.820000,17.038338,11501200
2014-03-17,17.870001,18.000000,17.799999,17.820000,17.038338,7491400
2014-03-18,17.889999,18.360001,17.809999,18.240000,17.439919,7347600
2014-03-19,18.379999,18.910000,18.330000,18.559999,17.745882,9154200
2014-03-20,18.459999,18.730000,18.379999,18.570000,17.755442,4795000
2014-03-21,18.730000,18.879999,18.440001,18.540001,17.726755,14152900
2014-03-24,18.549999,18.700001,18.180000,18.450001,17.640705,7652400
2014-03-25,18.650000,18.670000,18.309999,18.450001,17.640705,7610600
2014-03-26,18.620001,18.969999,17.870001,18.030001,17.239130,13943900
2014-03-27,17.990000,18.139999,17.590000,17.790001,17.009659,13518200
2014-03-28,17.760000,18.010000,17.709999,17.900000,17.114834,9970500
2014-03-31,17.930000,18.090000,17.809999,17.910000,17.124388,6835100
2014-04-01,18.480000,18.870001,18.260000,18.650000,17.831930,16406800
2014-04-02,18.650000,18.690001,18.450001,18.530001,17.717197,5998700
2014-04-03,18.570000,19.180000,18.559999,18.730000,17.908424,14988700
2014-04-04,18.830000,18.940001,18.070000,18.150000,17.353865,9200800
2014-04-07,18.160000,18.559999,18.059999,18.209999,17.411230,10714400
2014-04-08,18.209999,18.910000,18.180000,18.860001,18.032722,11767300
2014-04-09,18.950001,19.110001,18.690001,18.840000,18.013599,10549200
2014-04-10,18.760000,19.020000,18.320000,18.379999,17.573780,9318700
2014-04-11,18.240000,18.520000,17.879999,18.120001,17.325182,8827800
2014-04-14,18.240000,18.389999,18.120001,18.320000,17.516407,7254600
2014-04-15,18.340000,18.549999,18.160000,18.450001,17.640705,7615900
2014-04-16,18.540001,18.559999,18.260000,18.490000,17.678951,5878400
2014-04-17,18.420000,18.730000,18.379999,18.559999,17.745882,3838300
2014-04-21,18.570000,18.760000,18.450001,18.709999,17.889301,2925100
2014-04-22,18.740000,18.990000,18.639999,18.870001,18.042284,6378000
2014-04-23,18.900000,19.139999,18.870001,19.090000,18.252630,6539500
2014-04-24,19.219999,19.459999,19.219999,19.260000,18.415174,9787300
2014-04-25,19.219999,19.400000,18.690001,18.730000,17.908424,7840000
2014-04-28,18.879999,18.980000,18.420000,18.650000,17.831930,5669700
2014-04-29,18.719999,18.760000,18.480000,18.690001,17.870176,4282500
2014-04-30,18.660000,18.680000,18.430000,18.469999,17.659830,7643500
2014-05-01,18.750000,18.790001,18.420000,18.570000,17.755442,4952600
2014-05-02,18.660000,18.660000,18.320000,18.430000,17.621580,3909400
2014-05-05,18.410000,18.770000,18.389999,18.629999,17.812811,5981500
2014-05-06,18.809999,18.969999,18.200001,18.250000,17.449478,10404700
2014-05-07,18.250000,18.420000,18.070000,18.270000,17.468601,7347500
2014-05-08,18.200001,18.790001,18.110001,18.500000,17.688515,10818200
2014-05-09,17.940001,18.110001,17.709999,18.049999,17.258253,13488300
2014-05-12,18.090000,18.620001,18.080000,18.580000,17.765001,7496400
2014-05-13,18.330000,18.629999,18.219999,18.280001,17.478165,5527600
2014-05-14,18.290001,18.360001,18.090000,18.100000,17.306061,5358000
2014-05-15,18.059999,18.160000,17.820000,18.000000,17.210443,8147400
2014-05-16,17.860001,18.090000,17.860001,17.959999,17.172197,7099000
2014-05-19,18.150000,18.639999,18.070000,18.540001,17.726755,9001900
2014-05-20,18.459999,18.510000,18.150000,18.240000,17.520245,6405000
2014-05-21,18.309999,18.469999,18.129999,18.240000,17.520245,5417800
2014-05-22,18.200001,18.420000,18.200001,18.320000,17.597084,3259100
2014-05-23,18.420000,18.580000,18.309999,18.490000,17.760378,4566400
2014-05-27,18.600000,18.820000,18.540001,18.820000,18.077356,5242000
2014-05-28,18.889999,19.100000,18.709999,18.980000,18.231039,5616900
2014-05-29,18.969999,19.129999,18.910000,18.950001,18.202223,4297100
2014-05-30,18.950001,19.049999,18.850000,19.000000,18.250257,5978200
2014-06-02,19.059999,19.180000,18.780001,18.940001,18.192621,4537500
2014-06-03,18.980000,19.000000,18.610001,18.860001,18.115776,6080300
2014-06-04,18.809999,19.020000,18.799999,18.879999,18.134987,4030900
2014-06-05,18.910000,19.020000,18.799999,18.959999,18.211832,4717400
2014-06-06,19.049999,19.200001,18.980000,19.030001,18.279070,4026300
2014-06-09,19.010000,19.230000,18.879999,19.049999,18.298279,6186400
2014-06-10,18.980000,19.240000,18.900000,19.150000,18.394333,5440200
2014-06-11,19.080000,19.450001,19.080000,19.400000,18.634468,6655700
2014-06-12,19.400000,19.610001,19.230000,19.520000,18.749731,8428700
2014-06-13,19.719999,19.730000,19.350000,19.540001,18.768940,5696300
2014-06-16,19.450001,19.610001,19.309999,19.480000,18.711311,4965500
2014-06-17,19.500000,19.690001,19.400000,19.610001,18.836180,3940200
2014-06-18,19.559999,19.680000,19.379999,19.590000,18.816978,5388400
2014-06-19,19.230000,19.330000,19.000000,19.139999,18.384727,11864800
2014-06-20,19.190001,19.260000,18.780001,18.930000,18.183014,8828700
2014-06-23,18.680000,18.719999,18.459999,18.709999,17.971695,10355000
2014-06-24,18.680000,18.830000,18.340000,18.420000,17.693142,6894500
2014-06-25,18.469999,18.620001,18.299999,18.610001,17.875643,5385500
2014-06-26,18.610001,18.620001,18.299999,18.360001,17.635508,6422700
2014-06-27,18.340000,18.490000,18.230000,18.379999,17.654716,7570500
2014-06-30,18.309999,18.590000,18.309999,18.540001,17.808403,4512800
2014-07-01,18.520000,18.860001,18.459999,18.750000,18.010117,8029500
2014-07-02,18.680000,18.760000,18.570000,18.680000,17.942877,4482100
2014-07-03,18.510000,18.900000,18.510000,18.850000,18.106169,3422300
2014-07-07,18.879999,18.889999,18.670000,18.700001,17.962095,3187400
2014-07-08,18.650000,18.730000,18.370001,18.549999,17.818007,5548500
2014-07-09,18.709999,19.190001,18.570000,19.110001,18.355913,9691700
2014-07-10,18.750000,19.090000,18.600000,19.010000,18.259857,6657700
2014-07-11,19.030001,19.110001,18.959999,19.049999,18.298279,4779700
2014-07-14,19.129999,19.340000,19.059999,19.290001,18.528809,6815900
2014-07-15,19.320000,19.420000,19.190001,19.370001,18.605650,9886000
2014-07-16,19.450001,19.600000,19.240000,19.350000,18.586443,7993200
2014-07-17,19.129999,19.500000,19.129999,19.299999,18.538412,8120800
2014-07-18,18.900000,19.049999,18.410000,18.440001,17.712351,14195400
2014-07-21,18.370001,18.680000,18.370001,18.549999,17.818007,6084100
2014-07-22,18.690001,18.790001,18.430000,18.469999,17.741167,7470400
2014-07-23,18.480000,18.490000,18.059999,18.080000,17.366556,7433800
2014-07-24,18.180000,18.230000,17.980000,18.110001,17.395372,6364400
2014-07-25,18.049999,18.090000,17.760000,17.790001,17.088001,6653300
2014-07-28,17.870001,17.870001,17.420000,17.719999,17.020761,8258800
2014-07-29,17.730000,18.020000,17.719999,17.780001,17.078396,5449300
2014-07-30,17.889999,18.129999,17.840000,18.080000,17.366556,6154600
2014-07-31,17.860001,18.000000,17.469999,17.500000,16.809444,10047000
2014-08-01,17.500000,17.790001,17.440001,17.690001,16.991943,5497100
2014-08-04,17.670000,17.820000,17.559999,17.650000,16.953524,6043100
2014-08-05,17.600000,17.920000,17.450001,17.660000,16.963131,7453400
2014-08-06,17.540001,17.860001,17.410000,17.639999,16.943914,5586400
2014-08-07,17.790001,17.950001,17.340000,17.459999,16.771021,10192400
2014-08-08,18.219999,19.100000,18.219999,19.000000,18.250257,22358700
2014-08-11,19.020000,19.100000,18.850000,18.900000,18.154200,8615600
2014-08-12,18.889999,19.000000,18.690001,18.900000,18.154200,7403800
2014-08-13,18.930000,19.170000,18.809999,19.010000,18.259857,6414900
2014-08-14,19.080000,19.080000,18.719999,18.799999,18.058144,6399800
2014-08-15,18.860001,19.150000,18.680000,19.040001,18.288673,9244900
2014-08-18,19.120001,19.320000,18.930000,19.299999,18.538412,7101900
2014-08-19,19.219999,19.469999,19.150000,19.370001,18.687956,6206500
2014-08-20,19.299999,19.389999,19.200001,19.250000,18.572180,5536700
2014-08-21,19.200001,19.299999,19.040001,19.070000,18.398521,6819900
2014-08-22,19.049999,19.240000,18.930000,19.080000,18.408167,6280600
2014-08-25,19.160000,19.290001,19.070000,19.110001,18.437113,3834500
2014-08-26,19.160000,19.490000,19.090000,19.450001,18.765139,6740900
2014-08-27,19.330000,19.480000,19.200001,19.230000,18.552885,4574300
2014-08-28,19.190001,19.430000,19.129999,19.389999,18.707249,4492600
2014-08-29,19.459999,19.490000,19.250000,19.450001,18.765139,5198300
2014-09-02,19.500000,19.500000,19.320000,19.500000,18.813377,4815900
2014-09-03,19.600000,19.750000,19.469999,19.680000,18.987040,6486400
2014-09-04,19.650000,20.150000,19.639999,20.030001,19.324717,12295800
2014-09-05,20.010000,20.100000,19.840000,19.969999,19.266825,6344800
2014-09-08,19.950001,19.990000,19.709999,19.790001,19.093166,7982200
2014-09-09,19.700001,19.830000,19.520000,19.540001,18.851969,4964700
2014-09-10,19.650000,19.680000,19.430000,19.610001,18.919504,4309400
2014-09-11,19.469999,19.540001,19.200001,19.410000,18.726542,6268000
2014-09-12,19.530001,19.530001,19.100000,19.120001,18.446758,6563400
2014-09-15,19.180000,19.209999,18.780001,18.860001,18.195913,7353800
2014-09-16,18.809999,19.240000,18.750000,19.139999,18.466053,5498400
2014-09-17,19.090000,19.330000,19.000000,19.150000,18.475702,4339600
2014-09-18,19.270000,19.459999,19.209999,19.440001,18.755489,5490100
2014-09-19,19.500000,19.520000,19.049999,19.080000,18.408167,15032900
2014-09-22,19.469999,19.469999,18.870001,18.889999,18.224855,5536600
2014-09-23,18.790001,19.020000,18.719999,18.809999,18.147671,4903600
2014-09-24,18.799999,18.980000,18.780001,18.920000,18.253801,3989800
2014-09-25,18.900000,18.950001,18.469999,18.510000,17.858242,7461000
2014-09-26,18.570000,18.690001,18.490000,18.549999,17.896828,6029700
2014-09-29,18.400000,18.650000,18.219999,18.520000,17.867882,5213500
2014-09-30,18.440001,18.580000,18.230000,18.450001,17.800352,6930100
2014-10-01,18.480000,18.610001,18.219999,18.270000,17.626688,8774400
2014-10-02,18.240000,18.330000,17.770000,18.190001,17.549507,7224900
2014-10-03,18.299999,18.549999,18.230000,18.230000,17.588097,5978500
2014-10-06,18.299999,18.450001,18.000000,18.120001,17.481970,4975800
2014-10-07,18.040001,18.219999,17.910000,17.930000,17.298664,7547400
2014-10-08,17.910000,18.350000,17.770000,18.260000,17.617041,6504300
2014-10-09,18.180000,18.200001,17.760000,17.910000,17.279362,7673900
2014-10-10,17.770000,17.830000,16.840000,16.850000,16.256691,17284400
2014-10-13,16.959999,17.299999,16.770000,16.790001,16.198801,9940700
2014-10-14,17.020000,17.650000,16.920000,17.180000,16.575071,9415500
2014-10-15,16.930000,17.530001,16.820000,17.440001,16.825918,10110700
2014-10-16,17.129999,17.650000,17.090000,17.450001,16.835562,8777900
2014-10-17,17.660000,17.860001,17.350000,17.420000,16.806616,7267900
2014-10-20,17.420000,17.730000,17.299999,17.570000,16.951340,5008400
2014-10-21,17.700001,18.340000,17.650000,18.320000,17.674927,8777300
2014-10-22,18.290001,18.350000,17.889999,17.889999,17.260071,5987800
2014-10-23,18.200001,18.420000,18.070000,18.290001,17.645983,5361900
2014-10-24,18.400000,18.590000,18.290001,18.480000,17.829294,5253900
2014-10-27,18.469999,18.559999,18.270000,18.490000,17.838942,3627300
2014-10-28,18.440001,18.950001,18.420000,18.930000,18.263449,4814500
2014-10-29,18.850000,18.959999,18.639999,18.809999,18.147671,4208500
2014-10-30,18.760000,18.840000,18.450001,18.690001,18.031898,4256500
2014-10-31,19.120001,19.549999,19.020000,19.540001,18.851969,6407900
2014-11-03,19.990000,20.059999,19.770000,19.870001,19.170351,7718300
2014-11-04,20.000000,20.200001,19.670000,20.129999,19.421200,9004900
2014-11-05,20.250000,20.260000,19.980000,20.129999,19.421200,8391300
2014-11-06,20.170000,20.250000,19.860001,20.219999,19.508024,9852200
2014-11-07,20.450001,20.690001,19.590000,19.790001,19.093166,11270000
2014-11-10,19.770000,20.150000,19.719999,20.020000,19.315071,7334700
2014-11-11,19.900000,20.010000,19.610001,19.780001,19.083521,5324800
2014-11-12,19.709999,19.760000,19.379999,19.650000,18.958096,5114600
2014-11-13,19.719999,19.750000,19.389999,19.549999,18.861618,5633200
2014-11-14,19.570000,19.790001,19.379999,19.790001,19.093166,4006200
2014-11-17,19.700001,19.910000,19.570000,19.700001,19.006338,3968300
2014-11-18,19.709999,20.219999,19.660000,20.170000,19.459791,5194300
2014-11-19,20.100000,20.160000,19.799999,20.010000,19.387121,6007500
2014-11-20,19.870001,20.360001,19.809999,20.340000,19.706846,5524200
2014-11-21,20.520000,20.549999,20.280001,20.450001,19.813425,4974400
2014-11-24,20.500000,20.670000,20.420000,20.580000,19.939379,3400100
2014-11-25,20.540001,20.719999,20.500000,20.570000,19.929693,4756000
2014-11-26,20.450001,20.940001,20.440001,20.920000,20.268797,5481600
2014-11-28,20.990000,21.090000,20.799999,20.969999,20.317238,3120800
2014-12-01,20.879999,21.000000,20.549999,20.580000,19.939379,4751500
2014-12-02,20.559999,20.700001,20.370001,20.610001,19.968447,6148800
2014-12-03,20.709999,21.150000,20.650000,21.139999,20.481945,7110600
2014-12-04,21.110001,21.190001,20.809999,20.950001,20.297861,4633300
2014-12-05,20.959999,21.180000,20.950001,21.070000,20.414127,4142000
2014-12-08,21.040001,21.250000,20.629999,20.799999,20.152531,5673600
2014-12-09,20.670000,20.780001,20.360001,20.730000,20.084709,5986200
2014-12-10,20.670000,20.750000,20.250000,20.270000,19.639027,5109100
2014-12-11,20.389999,20.530001,20.219999,20.260000,19.629343,3391300
2014-12-12,19.990000,20.170000,19.610001,19.629999,19.018950,8099100
2014-12-15,19.860001,20.219999,19.510000,19.570000,18.960817,6367400
2014-12-16,19.549999,19.860001,19.340000,19.350000,18.747669,4632700
2014-12-17,19.740000,20.170000,19.100000,20.139999,19.513073,8639900
2014-12-18,20.389999,20.629999,20.030001,20.219999,19.590582,5653900
2014-12-19,20.360001,20.500000,20.170000,20.420000,19.784357,8138200
2014-12-22,20.400000,20.780001,20.330000,20.780001,20.133152,3724400
2014-12-23,20.940001,21.040001,20.629999,20.650000,20.007196,2732000
2014-12-24,20.700001,20.730000,20.549999,20.570000,19.929693,1141100
2014-12-26,20.570000,20.700001,20.520000,20.590000,19.949068,1315900
2014-12-29,20.530001,20.700001,20.430000,20.559999,19.920000,2073600
2014-12-30,20.420000,20.520000,20.340000,20.370001,19.735916,2803000
2014-12-31,20.400000,20.510000,19.990000,20.049999,19.425875,4157500


================================================
FILE: datas/nvda-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
2014-01-02,15.920000,15.980000,15.720000,15.860000,15.096152,6502300
2014-01-03,15.890000,15.920000,15.620000,15.670000,14.915301,6483300
2014-01-06,15.830000,16.000000,15.680000,15.880000,15.115188,10237300
2014-01-07,16.040001,16.200001,15.930000,16.139999,15.362666,8332200
2014-01-08,16.200001,16.440001,16.139999,16.360001,15.572070,7704800
2014-01-09,16.110001,16.139999,15.700000,15.750000,14.991447,7304300
2014-01-10,15.800000,15.910000,15.590000,15.730000,14.972411,5462300
2014-01-13,15.730000,15.830000,15.330000,15.360000,14.620232,6083300
2014-01-14,15.440000,15.870000,15.370000,15.840000,15.077115,6045700
2014-01-15,15.910000,16.070000,15.840000,16.010000,15.238929,4376100
2014-01-16,16.010000,16.090000,15.940000,16.059999,15.286519,5516300
2014-01-17,16.059999,16.250000,15.890000,15.990000,15.219892,8510000
2014-01-21,16.010000,16.150000,15.880000,16.049999,15.276999,6151900
2014-01-22,16.080000,16.100000,15.840000,16.030001,15.257964,8448500
2014-01-23,15.980000,16.150000,15.850000,15.970000,15.200851,4625700
2014-01-24,15.840000,15.900000,15.560000,15.560000,14.810599,6167400
2014-01-27,15.560000,15.780000,15.370000,15.460000,14.715416,5845300
2014-01-28,15.430000,15.620000,15.370000,15.610000,14.858193,4199900
2014-01-29,15.550000,15.640000,15.450000,15.460000,14.715416,4073600
2014-01-30,15.550000,15.750000,15.500000,15.720000,14.962893,5072400
2014-01-31,15.500000,15.790000,15.490000,15.700000,14.943857,8383700
2014-02-03,15.810000,15.830000,15.430000,15.490000,14.743970,10793200
2014-02-04,15.480000,15.610000,15.400000,15.580000,14.829636,7017300
2014-02-05,15.470000,15.520000,15.320000,15.440000,14.696378,5366900
2014-02-06,15.460000,15.680000,15.440000,15.640000,14.886745,4209500
2014-02-07,15.680000,15.890000,15.540000,15.870000,15.105667,3931200
2014-02-10,15.850000,16.129999,15.840000,15.920000,15.153262,8109300
2014-02-11,16.010000,16.290001,15.930000,16.250000,15.467368,5884600
2014-02-12,16.299999,16.950001,16.299999,16.830000,16.019436,18613200
2014-02-13,17.250000,17.459999,16.950001,17.360001,16.523907,22570900
2014-02-14,17.200001,17.950001,17.190001,17.910000,17.047417,20438400
2014-02-18,17.920000,17.980000,17.750000,17.900000,17.037903,10724700
2014-02-19,17.900000,18.299999,17.820000,18.139999,17.266336,11258500
2014-02-20,18.180000,18.820000,18.150000,18.780001,17.875525,9952200
2014-02-21,18.750000,18.990000,18.520000,18.639999,17.742262,11276300
2014-02-24,18.600000,19.049999,18.430000,18.910000,17.999254,10077800
2014-02-25,18.799999,18.879999,18.540001,18.740000,17.917986,6054600
2014-02-26,18.700001,18.980000,18.650000,18.709999,17.889301,9022100
2014-02-27,18.709999,18.900000,18.450001,18.500000,17.688515,9721200
2014-02-28,18.400000,18.580000,18.110001,18.379999,17.573780,8042300
2014-03-03,17.969999,18.290001,17.809999,18.290001,17.487722,9398700
2014-03-04,18.379999,18.600000,18.350000,18.480000,17.669390,6508600
2014-03-05,18.459999,18.650000,18.379999,18.639999,17.822372,6036800
2014-03-06,18.670000,18.770000,18.350000,18.379999,17.573780,7253600
2014-03-07,18.459999,18.490000,18.219999,18.360001,17.554655,6711300
2014-03-10,18.299999,18.379999,18.010000,18.090000,17.296495,7522200
2014-03-11,18.180000,18.430000,18.120001,18.270000,17.468601,7430500
2014-03-12,18.180000,18.430000,18.110001,18.320000,17.516407,5985700
2014-03-13,18.360001,18.430000,17.650000,17.740000,16.961849,9629300
2014-03-14,17.559999,17.980000,17.559999,17.820000,17.038338,11501200
2014-03-17,17.870001,18.000000,17.799999,17.820000,17.038338,7491400
2014-03-18,17.889999,18.360001,17.809999,18.240000,17.439919,7347600
2014-03-19,18.379999,18.910000,18.330000,18.559999,17.745882,9154200
2014-03-20,18.459999,18.730000,18.379999,18.570000,17.755442,4795000
2014-03-21,18.730000,18.879999,18.440001,18.540001,17.726755,14152900
2014-03-24,18.549999,18.700001,18.180000,18.450001,17.640705,7652400
2014-03-25,18.650000,18.670000,18.309999,18.450001,17.640705,7610600
2014-03-26,18.620001,18.969999,17.870001,18.030001,17.239130,13943900
2014-03-27,17.990000,18.139999,17.590000,17.790001,17.009659,13518200
2014-03-28,17.760000,18.010000,17.709999,17.900000,17.114834,9970500
2014-03-31,17.930000,18.090000,17.809999,17.910000,17.124388,6835100
2014-04-01,18.480000,18.870001,18.260000,18.650000,17.831930,16406800
2014-04-02,18.650000,18.690001,18.450001,18.530001,17.717197,5998700
2014-04-03,18.570000,19.180000,18.559999,18.730000,17.908424,14988700
2014-04-04,18.830000,18.940001,18.070000,18.150000,17.353865,9200800
2014-04-07,18.160000,18.559999,18.059999,18.209999,17.411230,10714400
2014-04-08,18.209999,18.910000,18.180000,18.860001,18.032722,11767300
2014-04-09,18.950001,19.110001,18.690001,18.840000,18.013599,10549200
2014-04-10,18.760000,19.020000,18.320000,18.379999,17.573780,9318700
2014-04-11,18.240000,18.520000,17.879999,18.120001,17.325182,8827800
2014-04-14,18.240000,18.389999,18.120001,18.320000,17.516407,7254600
2014-04-15,18.340000,18.549999,18.160000,18.450001,17.640705,7615900
2014-04-16,18.540001,18.559999,18.260000,18.490000,17.678951,5878400
2014-04-17,18.420000,18.730000,18.379999,18.559999,17.745882,3838300
2014-04-21,18.570000,18.760000,18.450001,18.709999,17.889301,2925100
2014-04-22,18.740000,18.990000,18.639999,18.870001,18.042284,6378000
2014-04-23,18.900000,19.139999,18.870001,19.090000,18.252630,6539500
2014-04-24,19.219999,19.459999,19.219999,19.260000,18.415174,9787300
2014-04-25,19.219999,19.400000,18.690001,18.730000,17.908424,7840000
2014-04-28,18.879999,18.980000,18.420000,18.650000,17.831930,5669700
2014-04-29,18.719999,18.760000,18.480000,18.690001,17.870176,4282500
2014-04-30,18.660000,18.680000,18.430000,18.469999,17.659830,7643500
2014-05-01,18.750000,18.790001,18.420000,18.570000,17.755442,4952600
2014-05-02,18.660000,18.660000,18.320000,18.430000,17.621580,3909400
2014-05-05,18.410000,18.770000,18.389999,18.629999,17.812811,5981500
2014-05-06,18.809999,18.969999,18.200001,18.250000,17.449478,10404700
2014-05-07,18.250000,18.420000,18.070000,18.270000,17.468601,7347500
2014-05-08,18.200001,18.790001,18.110001,18.500000,17.688515,10818200
2014-05-09,17.940001,18.110001,17.709999,18.049999,17.258253,13488300
2014-05-12,18.090000,18.620001,18.080000,18.580000,17.765001,7496400
2014-05-13,18.330000,18.629999,18.219999,18.280001,17.478165,5527600
2014-05-14,18.290001,18.360001,18.090000,18.100000,17.306061,5358000
2014-05-15,18.059999,18.160000,17.820000,18.000000,17.210443,8147400
2014-05-16,17.860001,18.090000,17.860001,17.959999,17.172197,7099000
2014-05-19,18.150000,18.639999,18.070000,18.540001,17.726755,9001900
2014-05-20,18.459999,18.510000,18.150000,18.240000,17.520245,6405000
2014-05-21,18.309999,18.469999,18.129999,18.240000,17.520245,5417800
2014-05-22,18.200001,18.420000,18.200001,18.320000,17.597084,3259100
2014-05-23,18.420000,18.580000,18.309999,18.490000,17.760378,4566400
2014-05-27,18.600000,18.820000,18.540001,18.820000,18.077356,5242000
2014-05-28,18.889999,19.100000,18.709999,18.980000,18.231039,5616900
2014-05-29,18.969999,19.129999,18.910000,18.950001,18.202223,4297100
2014-05-30,18.950001,19.049999,18.850000,19.000000,18.250257,5978200
2014-06-02,19.059999,19.180000,18.780001,18.940001,18.192621,4537500
2014-06-03,18.980000,19.000000,18.610001,18.860001,18.115776,6080300
2014-06-04,18.809999,19.020000,18.799999,18.879999,18.134987,4030900
2014-06-05,18.910000,19.020000,18.799999,18.959999,18.211832,4717400
2014-06-06,19.049999,19.200001,18.980000,19.030001,18.279070,4026300
2014-06-09,19.010000,19.230000,18.879999,19.049999,18.298279,6186400
2014-06-10,18.980000,19.240000,18.900000,19.150000,18.394333,5440200
2014-06-11,19.080000,19.450001,19.080000,19.400000,18.634468,6655700
2014-06-12,19.400000,19.610001,19.230000,19.520000,18.749731,8428700
2014-06-13,19.719999,19.730000,19.350000,19.540001,18.768940,5696300
2014-06-16,19.450001,19.610001,19.309999,19.480000,18.711311,4965500
2014-06-17,19.500000,19.690001,19.400000,19.610001,18.836180,3940200
2014-06-18,19.559999,19.680000,19.379999,19.590000,18.816978,5388400
2014-06-19,19.230000,19.330000,19.000000,19.139999,18.384727,11864800
2014-06-20,19.190001,19.260000,18.780001,18.930000,18.183014,8828700
2014-06-23,18.680000,18.719999,18.459999,18.709999,17.971695,10355000
2014-06-24,18.680000,18.830000,18.340000,18.420000,17.693142,6894500
2014-06-25,18.469999,18.620001,18.299999,18.610001,17.875643,5385500
2014-06-26,18.610001,18.620001,18.299999,18.360001,17.635508,6422700
2014-06-27,18.340000,18.490000,18.230000,18.379999,17.654716,7570500
2014-06-30,18.309999,18.590000,18.309999,18.540001,17.808403,4512800
2014-07-01,18.520000,18.860001,18.459999,18.750000,18.010117,8029500
2014-07-02,18.680000,18.760000,18.570000,18.680000,17.942877,4482100
2014-07-03,18.510000,18.900000,18.510000,18.850000,18.106169,3422300
2014-07-07,18.879999,18.889999,18.670000,18.700001,17.962095,3187400
2014-07-08,18.650000,18.730000,18.370001,18.549999,17.818007,5548500
2014-07-09,18.709999,19.190001,18.570000,19.110001,18.355913,9691700
2014-07-10,18.750000,19.090000,18.600000,19.010000,18.259857,6657700
2014-07-11,19.030001,19.110001,18.959999,19.049999,18.298279,4779700
2014-07-14,19.129999,19.340000,19.059999,19.290001,18.528809,6815900
2014-07-15,19.320000,19.420000,19.190001,19.370001,18.605650,9886000
2014-07-16,19.450001,19.600000,19.240000,19.350000,18.586443,7993200
2014-07-17,19.129999,19.500000,19.129999,19.299999,18.538412,8120800
2014-07-18,18.900000,19.049999,18.410000,18.440001,17.712351,14195400
2014-07-21,18.370001,18.680000,18.370001,18.549999,17.818007,6084100
2014-07-22,18.690001,18.790001,18.430000,18.469999,17.741167,7470400
2014-07-23,18.480000,18.490000,18.059999,18.080000,17.366556,7433800
2014-07-24,18.180000,18.230000,17.980000,18.110001,17.395372,6364400
2014-07-25,18.049999,18.090000,17.760000,17.790001,17.088001,6653300
2014-07-28,17.870001,17.870001,17.420000,17.719999,17.020761,8258800
2014-07-29,17.730000,18.020000,17.719999,17.780001,17.078396,5449300
2014-07-30,17.889999,18.129999,17.840000,18.080000,17.366556,6154600
2014-07-31,17.860001,18.000000,17.469999,17.500000,16.809444,10047000
2014-08-01,17.500000,17.790001,17.440001,17.690001,16.991943,5497100
2014-08-04,17.670000,17.820000,17.559999,17.650000,16.953524,6043100
2014-08-05,17.600000,17.920000,17.450001,17.660000,16.963131,7453400
2014-08-06,17.540001,17.860001,17.410000,17.639999,16.943914,5586400
2014-08-07,17.790001,17.950001,17.340000,17.459999,16.771021,10192400
2014-08-08,18.219999,19.100000,18.219999,19.000000,18.250257,22358700
2014-08-11,19.020000,19.100000,18.850000,18.900000,18.154200,8615600
2014-08-12,18.889999,19.000000,18.690001,18.900000,18.154200,7403800
2014-08-13,18.930000,19.170000,18.809999,19.010000,18.259857,6414900
2014-08-14,19.080000,19.080000,18.719999,18.799999,18.058144,6399800
2014-08-15,18.860001,19.150000,18.680000,19.040001,18.288673,9244900
2014-08-18,19.120001,19.320000,18.930000,19.299999,18.538412,7101900
2014-08-19,19.219999,19.469999,19.150000,19.370001,18.687956,6206500
2014-08-20,19.299999,19.389999,19.200001,19.250000,18.572180,5536700
2014-08-21,19.200001,19.299999,19.040001,19.070000,18.398521,6819900
2014-08-22,19.049999,19.240000,18.930000,19.080000,18.408167,6280600
2014-08-25,19.160000,19.290001,19.070000,19.110001,18.437113,3834500
2014-08-26,19.160000,19.490000,19.090000,19.450001,18.765139,6740900
2014-08-27,19.330000,19.480000,19.200001,19.230000,18.552885,4574300
2014-08-28,19.190001,19.430000,19.129999,19.389999,18.707249,4492600
2014-08-29,19.459999,19.490000,19.250000,19.450001,18.765139,5198300
2014-09-02,19.500000,19.500000,19.320000,19.500000,18.813377,4815900
2014-09-03,19.600000,19.750000,19.469999,19.680000,18.987040,6486400
2014-09-04,19.650000,20.150000,19.639999,20.030001,19.324717,12295800
2014-09-05,20.010000,20.100000,19.840000,19.969999,19.266825,6344800
2014-09-08,19.950001,19.990000,19.709999,19.790001,19.093166,7982200
2014-09-09,19.700001,19.830000,19.520000,19.540001,18.851969,4964700
2014-09-10,19.650000,19.680000,19.430000,19.610001,18.919504,4309400
2014-09-11,19.469999,19.540001,19.200001,19.410000,18.726542,6268000
2014-09-12,19.530001,19.530001,19.100000,19.120001,18.446758,6563400
2014-09-15,19.180000,19.209999,18.780001,18.860001,18.195913,7353800
2014-09-16,18.809999,19.240000,18.750000,19.139999,18.466053,5498400
2014-09-17,19.090000,19.330000,19.000000,19.150000,18.475702,4339600
2014-09-18,19.270000,19.459999,19.209999,19.440001,18.755489,5490100
2014-09-19,19.500000,19.520000,19.049999,19.080000,18.408167,15032900
2014-09-22,19.469999,19.469999,18.870001,18.889999,18.224855,5536600
2014-09-23,18.790001,19.020000,18.719999,18.809999,18.147671,4903600
2014-09-24,18.799999,18.980000,18.780001,18.920000,18.253801,3989800
2014-09-25,18.900000,18.950001,18.469999,18.510000,17.858242,7461000
2014-09-26,18.570000,18.690001,18.490000,18.549999,17.896828,6029700
2014-09-29,18.400000,18.650000,18.219999,18.520000,17.867882,5213500
2014-09-30,18.440001,18.580000,18.230000,18.450001,17.800352,6930100
2014-10-01,18.480000,18.610001,18.219999,18.270000,17.626688,8774400
2014-10-02,18.240000,18.330000,17.770000,18.190001,17.549507,7224900
2014-10-03,18.299999,18.549999,18.230000,18.230000,17.588097,5978500
2014-10-06,18.299999,18.450001,18.000000,18.120001,17.481970,4975800
2014-10-07,18.040001,18.219999,17.910000,17.930000,17.298664,7547400
2014-10-08,17.910000,18.350000,17.770000,18.260000,17.617041,6504300
2014-10-09,18.180000,18.200001,17.760000,17.910000,17.279362,7673900
2014-10-10,17.770000,17.830000,16.840000,16.850000,16.256691,17284400
2014-10-13,16.959999,17.299999,16.770000,16.790001,16.198801,9940700
2014-10-14,17.020000,17.650000,16.920000,17.180000,16.575071,9415500
2014-10-15,16.930000,17.530001,16.820000,17.440001,16.825918,10110700
2014-10-16,17.129999,17.650000,17.090000,17.450001,16.835562,8777900
2014-10-17,17.660000,17.860001,17.350000,17.420000,16.806616,7267900
2014-10-20,17.420000,17.730000,17.299999,17.570000,16.951340,5008400
2014-10-21,17.700001,18.340000,17.650000,18.320000,17.674927,8777300
2014-10-22,18.290001,18.350000,17.889999,17.889999,17.260071,5987800
2014-10-23,18.200001,18.420000,18.070000,18.290001,17.645983,5361900
2014-10-24,18.400000,18.590000,18.290001,18.480000,17.829294,5253900
2014-10-27,18.469999,18.559999,18.270000,18.490000,17.838942,3627300
2014-10-28,18.440001,18.950001,18.420000,18.930000,18.263449,4814500
2014-10-29,18.850000,18.959999,18.639999,18.809999,18.147671,4208500
2014-10-30,18.760000,18.840000,18.450001,18.690001,18.031898,4256500
2014-10-31,19.120001,19.549999,19.020000,19.540001,18.851969,6407900
2014-11-03,19.990000,20.059999,19.770000,19.870001,19.170351,7718300
2014-11-04,20.000000,20.200001,19.670000,20.129999,19.421200,9004900
2014-11-05,20.250000,20.260000,19.980000,20.129999,19.421200,8391300
2014-11-06,20.170000,20.250000,19.860001,20.219999,19.508024,9852200
2014-11-07,20.450001,20.690001,19.590000,19.790001,19.093166,11270000
2014-11-10,19.770000,20.150000,19.719999,20.020000,19.315071,7334700
2014-11-11,19.900000,20.010000,19.610001,19.780001,19.083521,5324800
2014-11-12,19.709999,19.760000,19.379999,19.650000,18.958096,5114600
2014-11-13,19.719999,19.750000,19.389999,19.549999,18.861618,5633200
2014-11-14,19.570000,19.790001,19.379999,19.790001,19.093166,4006200
2014-11-17,19.700001,19.910000,19.570000,19.700001,19.006338,3968300
2014-11-18,19.709999,20.219999,19.660000,20.170000,19.459791,5194300
2014-11-19,20.100000,20.160000,19.799999,20.010000,19.387121,6007500
2014-11-20,19.870001,20.360001,19.809999,20.340000,19.706846,5524200
2014-11-21,20.520000,20.549999,20.280001,20.450001,19.813425,4974400
2014-11-24,20.500000,20.670000,20.420000,20.580000,19.939379,3400100
2014-11-25,20.540001,20.719999,20.500000,20.570000,19.929693,4756000
2014-11-26,20.450001,20.940001,20.440001,20.920000,20.268797,5481600
2014-11-28,20.990000,21.090000,20.799999,20.969999,20.317238,3120800
2014-12-01,20.879999,21.000000,20.549999,20.580000,19.939379,4751500
2014-12-02,20.559999,20.700001,20.370001,20.610001,19.968447,6148800
2014-12-03,20.709999,21.150000,20.650000,21.139999,20.481945,7110600
2014-12-04,21.110001,21.190001,20.809999,20.950001,20.297861,4633300
2014-12-05,20.959999,21.180000,20.950001,21.070000,20.414127,4142000
2014-12-08,21.040001,21.250000,20.629999,20.799999,20.152531,5673600
2014-12-09,20.670000,20.780001,20.360001,20.730000,20.084709,5986200
2014-12-10,20.670000,20.750000,20.250000,20.270000,19.639027,5109100
2014-12-11,20.389999,20.530001,20.219999,20.260000,19.629343,3391300
2014-12-12,19.990000,20.170000,19.610001,19.629999,19.018950,8099100
2014-12-15,19.860001,20.219999,19.510000,19.570000,18.960817,6367400
2014-12-16,19.549999,19.860001,19.340000,19.350000,18.747669,4632700
2014-12-17,19.740000,20.170000,19.100000,20.139999,19.513073,8639900
2014-12-18,20.389999,20.629999,20.030001,20.219999,19.590582,5653900
2014-12-19,20.360001,20.500000,20.170000,20.420000,19.784357,8138200
2014-12-22,20.400000,20.780001,20.330000,20.780001,20.133152,3724400
2014-12-23,20.940001,21.040001,20.629999,20.650000,20.007196,2732000
2014-12-24,20.700001,20.730000,20.549999,20.570000,19.929693,1141100
2014-12-26,20.570000,20.700001,20.520000,20.590000,19.949068,1315900
2014-12-29,20.530001,20.700001,20.430000,20.559999,19.920000,2073600
2014-12-30,20.420000,20.520000,20.340000,20.370001,19.735916,2803000
2014-12-31,20.400000,20.510000,19.990000,20.049999,19.425875,4157500


================================================
FILE: datas/orcl-1995-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
1995-01-03,2.179012,2.191358,2.117284,2.117284,1.883304,36301200
1995-01-04,2.123457,2.148148,2.092592,2.135803,1.899776,46051600
1995-01-05,2.141975,2.148148,2.086420,2.092592,1.861340,37762800
1995-01-06,2.092592,2.154321,2.061728,2.117284,1.883304,41864400
1995-01-09,2.135803,2.179012,2.129630,2.179012,1.938211,34639200
1995-01-10,2.191358,2.216049,2.185185,2.185185,1.943701,42088000
1995-01-11,2.203704,2.216049,2.098765,2.120370,1.886049,46762000
1995-01-12,2.123457,2.129630,2.086420,2.104938,1.872322,41294400
1995-01-13,2.129630,2.145062,2.074074,2.080247,1.850359,55039200
1995-01-16,2.024691,2.080247,1.975309,2.067901,1.839378,54574800
1995-01-17,2.067901,2.141975,2.067901,2.141975,1.905266,39588000
1995-01-18,2.135803,2.160494,2.129630,2.135803,1.899776,28841200
1995-01-19,2.129630,2.216049,2.117284,2.209877,1.965664,55818000
1995-01-20,2.209877,2.216049,2.129630,2.169753,1.929974,48518800
1995-01-23,2.154321,2.154321,2.098765,2.123457,1.888794,37551600
1995-01-24,2.123457,2.135803,2.086420,2.117284,1.883304,28960800
1995-01-25,2.104938,2.197531,2.086420,2.160494,1.921738,67278400
1995-01-26,2.154321,2.160494,2.117284,2.117284,1.883304,27543600
1995-01-27,2.123457,2.135803,2.086420,2.111111,1.877813,35708400
1995-01-30,2.111111,2.117284,2.055556,2.061728,1.833888,44440000
1995-01-31,2.074074,2.129630,2.061728,2.104938,1.872322,37908400
1995-02-01,2.129630,2.141975,2.080247,2.092592,1.861340,24384400
1995-02-02,2.092592,2.123457,2.080247,2.117284,1.883304,24165600
1995-02-03,2.135803,2.197531,2.123457,2.172839,1.932719,53942800
1995-02-06,2.172839,2.203704,2.160494,2.194444,1.951937,24818800
1995-02-07,2.197531,2.203704,2.160494,2.191358,1.949191,18529600
1995-02-08,2.197531,2.203704,2.154321,2.166667,1.927228,26293200
1995-02-09,2.185185,2.216049,2.148148,2.148148,1.910756,48528000
1995-02-10,2.160494,2.203704,2.148148,2.185185,1.943701,36315600
1995-02-13,2.191358,2.240741,2.172839,2.197531,1.954682,33372400
1995-02-14,2.216049,2.228395,2.160494,2.179012,1.938211,28029600
1995-02-15,2.185185,2.259259,2.185185,2.259259,2.009588,44546800
1995-02-16,2.259259,2.283951,2.234568,2.277778,2.026061,45473200
1995-02-17,2.271605,2.277778,2.246914,2.253086,2.004097,20790000
1995-02-21,2.271605,2.296296,2.259259,2.277778,2.026061,27059200
1995-02-22,2.265432,2.333333,2.253086,2.327161,2.069987,40435200
1995-02-23,2.351852,2.379630,2.296296,2.324074,2.067241,42390400
1995-02-24,2.324074,2.324074,2.250000,2.259259,2.009588,34297600
1995-02-27,2.268518,2.333333,2.250000,2.250000,2.001353,31061200
1995-02-28,2.277778,2.333333,2.250000,2.324074,2.067241,23047200
1995-03-01,2.342592,2.351852,2.305556,2.314815,2.059005,24346800
1995-03-02,2.333333,2.342592,2.277778,2.342592,2.083714,14650000
1995-03-03,2.342592,2.444444,2.314815,2.435185,2.166073,44342800
1995-03-06,2.416667,2.425926,2.361111,2.407408,2.141366,27613600
1995-03-07,2.398148,2.425926,2.370370,2.388889,2.124893,30264000
1995-03-08,2.388889,2.407408,2.379630,2.407408,2.141366,17985600
1995-03-09,2.416667,2.444444,2.388889,2.425926,2.157837,45533200
1995-03-10,2.416667,2.444444,2.407408,2.444444,2.174309,26088000
1995-03-13,2.453704,2.490741,2.444444,2.453704,2.182545,30138000
1995-03-14,2.490741,2.509259,2.462963,2.462963,2.190781,24872800
1995-03-15,2.481482,2.481482,2.416667,2.425926,2.157837,24435600
1995-03-16,2.425926,2.462963,2.425926,2.462963,2.190781,19735200
1995-03-17,2.472222,2.500000,2.444444,2.472222,2.199017,29170800
1995-03-20,2.481482,2.564815,2.453704,2.490741,2.215489,20464000
1995-03-21,2.527778,2.564815,2.469904,2.537037,2.256670,46642000
1995-03-22,2.453704,2.472222,2.416667,2.444444,2.174309,87223200
1995-03-23,2.453704,2.453704,2.333333,2.361111,2.100185,53838000
1995-03-24,2.361111,2.407408,2.342592,2.379630,2.116657,59328000
1995-03-27,2.379630,2.407408,2.361111,2.398148,2.133129,55688400
1995-03-28,2.398148,2.425926,2.379630,2.425926,2.157837,43761600
1995-03-29,2.425926,2.453704,2.333333,2.370370,2.108421,42786400
1995-03-30,2.388889,2.398148,2.287037,2.324074,2.067241,42184800
1995-03-31,2.277778,2.361111,2.268518,2.314815,2.059005,21330400
1995-04-03,2.305556,2.398148,2.287037,2.379630,2.116657,34187200
1995-04-04,2.333333,2.462963,2.296296,2.333333,2.075477,62237200
1995-04-05,2.333333,2.333333,2.277778,2.314815,2.059005,42781200
1995-04-06,2.296296,2.314815,2.166667,2.175926,1.935465,51303600
1995-04-07,2.222222,2.305556,2.203704,2.268518,2.017825,74368800
1995-04-10,2.259259,2.277778,2.231482,2.268518,2.017825,33039600
1995-04-11,2.296296,2.305556,2.277778,2.305556,2.050768,27496800
1995-04-12,2.333333,2.379630,2.314815,2.370370,2.108421,20217600
1995-04-13,2.388889,2.416667,2.314815,2.370370,2.108421,23033200
1995-04-17,2.379630,2.388889,2.305556,2.310185,2.054886,35958400
1995-04-18,2.324074,2.342592,2.268518,2.287037,2.034297,38097600
1995-04-19,2.277778,2.287037,2.194444,2.240741,1.993117,52083600
1995-04-20,2.259259,2.277778,2.194444,2.212963,1.968409,34000800
1995-04-21,2.222222,2.231482,2.203704,2.222222,1.976646,62858400
1995-04-24,2.231482,2.268518,2.203704,2.254630,2.005472,55102000
1995-04-25,2.259259,2.287037,2.194444,2.203704,1.960173,56012400
1995-04-26,2.203704,2.222222,2.138889,2.148148,1.910756,53532400
1995-04-27,2.148148,2.361111,2.074074,2.314815,2.059005,150139600
1995-04-28,2.324074,2.351852,2.222222,2.259259,2.009588,66034800
1995-05-01,2.268518,2.277778,2.212963,2.226852,1.980763,49532400
1995-05-02,2.231482,2.231482,2.203704,2.208333,1.964291,43858800
1995-05-03,2.222222,2.370370,2.212963,2.333333,2.075477,91555200
1995-05-04,2.361111,2.416667,2.277778,2.277778,2.026061,68866000
1995-05-05,2.314815,2.333333,2.259259,2.268518,2.017825,30326800
1995-05-08,2.287037,2.319444,2.268518,2.287037,2.034297,24262000
1995-05-09,2.314815,2.333333,2.259259,2.296296,2.042532,35996400
1995-05-10,2.305556,2.333333,2.268518,2.305556,2.050768,22288000
1995-05-11,2.296296,2.379630,2.277778,2.379630,2.116657,38153200
1995-05-12,2.370370,2.462963,2.361111,2.407408,2.141366,72420000
1995-05-15,2.435185,2.527778,2.407408,2.513889,2.236080,56471200
1995-05-16,2.518518,2.592592,2.509259,2.541667,2.260788,88011600
1995-05-17,2.564815,2.601852,2.546296,2.555556,2.273141,48359200
1995-05-18,2.555556,2.564815,2.472222,2.472222,2.199017,37798000
1995-05-19,2.453704,2.518518,2.444444,2.518518,2.240197,31640800
1995-05-22,2.546296,2.546296,2.472222,2.490741,2.215489,35697600
1995-05-23,2.500000,2.583333,2.486111,2.583333,2.297849,34003600
1995-05-24,2.712963,2.796296,2.694444,2.787037,2.479042,121257600
1995-05-25,2.805556,2.851852,2.703704,2.740741,2.437862,56305600
1995-05-26,2.740741,2.740741,2.648148,2.675926,2.380210,33050400
1995-05-30,2.685185,2.685185,2.537037,2.537037,2.256670,64638400
1995-05-31,2.546296,2.583333,2.453704,2.574074,2.289614,49482400
1995-06-01,2.592592,2.657408,2.592592,2.638889,2.347265,38858800
1995-06-02,2.629630,2.694444,2.555556,2.666667,2.371974,41282800
1995-06-05,2.740741,2.740741,2.611111,2.638889,2.347265,43310400
1995-06-06,2.638889,2.648148,2.518518,2.574074,2.289614,33982800
1995-06-07,2.592592,2.638889,2.564815,2.611111,2.322557,30613200
1995-06-08,2.629630,2.657408,2.611111,2.638889,2.347265,19054800
1995-06-09,2.638889,2.731482,2.601852,2.722222,2.421390,37538800
1995-06-12,2.759259,2.805556,2.694444,2.759259,2.454334,41046000
1995-06-13,2.796296,2.805556,2.722222,2.768518,2.462570,43446400
1995-06-14,2.768518,2.777778,2.731482,2.768518,2.462570,30049200
1995-06-15,2.768518,2.805556,2.740741,2.768518,2.462570,19678000
1995-06-16,2.796296,2.805556,2.740741,2.787037,2.479042,26305600
1995-06-19,2.805556,2.898148,2.796296,2.861111,2.544931,39504400
1995-06-20,2.879630,2.916667,2.833333,2.888889,2.569638,41228800
1995-06-21,2.935185,2.944444,2.833333,2.879630,2.561402,47905600
1995-06-22,2.907408,3.000000,2.888889,2.972222,2.643763,71226400
1995-06-23,2.962963,2.981482,2.824074,2.907408,2.586111,78650800
1995-06-26,2.907408,2.925926,2.777778,2.824074,2.511986,40346800
1995-06-27,2.805556,2.888889,2.777778,2.796296,2.487279,36228400
1995-06-28,2.787037,2.851852,2.722222,2.791667,2.483160,42115200
1995-06-29,2.805556,2.888889,2.777778,2.861111,2.544931,42813600
1995-06-30,2.870370,2.916667,2.833333,2.861111,2.544931,27302400
1995-07-03,2.870370,2.925926,2.851852,2.898148,2.577875,12094000
1995-07-05,2.907408,2.944444,2.861111,2.870370,2.553166,38658400
1995-07-06,2.879630,2.925926,2.833333,2.916667,2.594347,39179200
1995-07-07,2.907408,3.000000,2.907408,2.990741,2.660235,52280800
1995-07-10,3.000000,3.074074,2.990741,3.018518,2.684943,36128400
1995-07-11,3.018518,3.018518,2.888889,2.888889,2.569638,36520000
1995-07-12,2.925926,3.046296,2.916667,3.027778,2.693178,36703600
1995-07-13,3.027778,3.120370,2.972222,3.018518,2.684943,32470000
1995-07-14,2.990741,3.037037,2.944444,3.023148,2.689060,29300800
1995-07-17,3.046296,3.129630,3.037037,3.129630,2.783775,41150400
1995-07-18,3.129630,3.129630,2.962963,2.972222,2.643763,53179200
1995-07-19,2.814815,2.953704,2.703704,2.833333,2.520222,98179600
1995-07-20,2.833333,2.870370,2.796296,2.842592,2.528458,55798000
1995-07-21,2.814815,2.898148,2.814815,2.847222,2.532577,31044400
1995-07-24,2.870370,2.916667,2.842592,2.902778,2.581993,27229200
1995-07-25,2.944444,3.018518,2.907408,2.981482,2.651999,43365600
1995-07-26,3.018518,3.129630,3.000000,3.129630,2.783775,49709200
1995-07-27,3.148148,3.259259,3.138889,3.212963,2.857898,40500400
1995-07-28,3.203704,3.203704,3.111111,3.120370,2.775539,28096000
1995-07-31,3.129630,3.129630,3.055556,3.101852,2.759067,17105200
1995-08-01,3.111111,3.111111,2.953704,3.009259,2.676707,30454000
1995-08-02,3.046296,3.129630,2.907408,2.935185,2.610818,48919200
1995-08-03,2.870370,2.935185,2.798607,2.912037,2.590230,71761200
1995-08-04,2.907408,3.000000,2.888889,2.990741,2.660235,22397200
1995-08-07,2.990741,3.055556,2.972222,2.986111,2.656117,15670800
1995-08-08,3.000000,3.009259,2.944444,2.958333,2.631408,12747600
1995-08-09,3.009259,3.046296,2.981482,3.037037,2.701415,23404000
1995-08-10,3.037037,3.083333,3.027778,3.055556,2.717887,22918000
1995-08-11,3.064815,3.074074,2.962963,3.027778,2.693178,18044800
1995-08-14,3.018518,3.111111,2.990741,3.101852,2.759067,28754800
1995-08-15,3.111111,3.129630,3.018518,3.083333,2.742595,24782800
1995-08-16,3.083333,3.166667,3.074074,3.166667,2.816719,31606000
1995-08-17,3.166667,3.203704,3.148148,3.199074,2.845546,26641600
1995-08-18,3.231482,3.250000,3.157408,3.203704,2.849662,38806800
1995-08-21,3.259259,3.287037,3.129630,3.134259,2.787893,31201200
1995-08-22,3.138889,3.175926,3.064815,3.166667,2.816719,32065600
1995-08-23,3.166667,3.212963,3.129630,3.175926,2.824955,25450000
1995-08-24,3.185185,3.185185,3.092592,3.148148,2.800246,35103600
1995-08-25,3.166667,3.203704,3.148148,3.166667,2.816719,21133600
1995-08-28,3.166667,3.185185,3.055556,3.069444,2.730241,28777200
1995-08-29,3.037037,3.046296,2.879630,3.009259,2.676707,68792800
1995-08-30,3.018518,3.046296,2.907408,2.953704,2.627290,48200800
1995-08-31,2.962963,3.009259,2.944444,2.972222,2.643763,28209600
1995-09-01,2.972222,2.972222,2.888889,2.907408,2.586111,41072400
1995-09-05,2.907408,3.296296,2.907408,3.277778,2.915551,98296800
1995-09-06,3.129630,3.287037,3.111111,3.222222,2.866134,67087600
1995-09-07,3.231482,3.296296,3.194444,3.250000,2.890843,32711200
1995-09-08,3.250000,3.277778,3.194444,3.250000,2.890843,24305200
1995-09-11,3.240741,3.398148,3.240741,3.351852,2.981440,59000400
1995-09-12,3.388889,3.407408,3.287037,3.324074,2.956733,28701600
1995-09-13,3.324074,3.472222,3.314815,3.407408,3.030855,40741200
1995-09-14,3.435185,3.481482,3.287037,3.324074,2.956733,51487200
1995-09-15,2.870370,2.925926,2.703704,2.787037,2.479042,384968400
1995-09-18,2.851852,2.944444,2.814815,2.944444,2.619054,111745600
1995-09-19,2.953704,3.027778,2.944444,2.972222,2.643763,71098800
1995-09-20,3.009259,3.046296,2.944444,2.949074,2.623172,56149600
1995-09-21,2.944444,2.953704,2.851852,2.879630,2.561402,43666800
1995-09-22,2.861111,2.925926,2.833333,2.916667,2.594347,28744800
1995-09-25,2.935185,2.944444,2.833333,2.898148,2.577875,29098800
1995-09-26,2.935185,2.962963,2.842592,2.842592,2.528458,39080400
1995-09-27,2.814815,2.879630,2.694444,2.861111,2.544931,83973600
1995-09-28,2.888889,2.916667,2.824074,2.907408,2.586111,49926400
1995-09-29,2.907408,2.953704,2.824074,2.842592,2.528458,44082400
1995-10-02,2.861111,2.879630,2.768518,2.789348,2.481098,22100400
1995-10-03,2.814815,2.879630,2.777778,2.861111,2.544931,52653600
1995-10-04,2.824074,2.879630,2.777778,2.814815,2.503751,38646000
1995-10-05,2.814815,2.851852,2.750000,2.851852,2.536695,56722000
1995-10-06,2.870370,2.907408,2.787037,2.796296,2.487279,49298800
1995-10-09,2.777778,2.777778,2.629630,2.731482,2.429626,61938000
1995-10-10,2.685185,2.740741,2.592592,2.740741,2.437862,78254800
1995-10-11,2.870370,2.907408,2.759259,2.851852,2.536695,68326800
1995-10-12,2.879630,2.962963,2.870370,2.949074,2.623172,60048400
1995-10-13,2.972222,3.027778,2.888889,2.925926,2.602582,75654000
1995-10-16,2.935185,2.981482,2.925926,2.962963,2.635525,37395600
1995-10-17,2.972222,3.027778,2.888889,3.023148,2.689060,69709200
1995-10-18,3.064815,3.203704,3.023148,3.185185,2.833191,146953600
1995-10-19,3.166667,3.287037,3.157408,3.277778,2.915551,75375600
1995-10-20,3.287037,3.296296,3.129630,3.157408,2.808483,66593200
1995-10-23,3.120370,3.175926,3.101852,3.166667,2.816719,40321600
1995-10-24,3.194444,3.240741,3.166667,3.222222,2.866134,45973600
1995-10-25,3.250000,3.250000,3.157408,3.185185,2.833191,29930400
1995-10-26,3.166667,3.212963,3.055556,3.138889,2.792011,32054800
1995-10-27,3.120370,3.222222,3.111111,3.203704,2.849662,32740800
1995-10-30,3.250000,3.314815,3.222222,3.268518,2.907315,41167600
1995-10-31,3.314815,3.333333,3.231482,3.231482,2.874371,31107600
1995-11-01,3.240741,3.314815,3.222222,3.268518,2.907315,37859200
1995-11-02,3.287037,3.407408,3.277778,3.398148,3.022619,56992000
1995-11-03,3.407408,3.444444,3.359948,3.425926,3.047327,37718800
1995-11-06,3.398148,3.518518,3.333333,3.342592,2.973203,39362800
1995-11-07,3.324074,3.333333,3.194444,3.268518,2.907315,52207200
1995-11-08,3.296296,3.416667,3.268518,3.314815,2.948496,38385600
1995-11-09,3.388889,3.490741,3.388889,3.490741,3.104980,56284000
1995-11-10,3.462963,3.574074,3.425926,3.490741,3.104980,42308800
1995-11-13,3.481482,3.564815,3.388889,3.407408,3.030855,37776400
1995-11-14,3.370370,3.500000,3.361111,3.379630,3.006147,43621600
1995-11-15,3.425926,3.481482,3.370370,3.472222,3.088508,50058400
1995-11-16,3.462963,3.583333,3.435185,3.518518,3.129688,56000400
1995-11-17,3.537037,3.611111,3.509259,3.564815,3.170868,50357200
1995-11-20,3.592592,3.601852,3.370370,3.370370,2.997912,30148800
1995-11-21,3.370370,3.425926,3.342592,3.398148,3.022619,48174000
1995-11-22,3.416667,3.416667,3.296296,3.319444,2.952614,34026000
1995-11-24,3.351852,3.361111,3.268518,3.342592,2.973203,19988800
1995-11-27,3.398148,3.444444,3.342592,3.365741,2.993793,54459600
1995-11-28,3.370370,3.490741,3.351852,3.481482,3.096743,49608000
1995-11-29,3.518518,3.546296,3.435185,3.462963,3.080271,34668000
1995-11-30,3.462963,3.472222,3.342592,3.361111,2.989676,34887600
1995-12-01,3.370370,3.388889,3.250000,3.305556,2.940259,45725200
1995-12-04,3.296296,3.425926,3.212963,3.365741,2.993793,59076400
1995-12-05,3.342592,3.462963,3.277778,3.333333,2.964967,57186400
1995-12-06,3.324074,3.342592,3.166667,3.240741,2.882607,50563600
1995-12-07,3.361111,3.370370,3.203704,3.277778,2.915551,44253600
1995-12-08,3.351852,3.462963,3.305556,3.453704,3.072035,67216000
1995-12-11,3.509259,3.527778,3.435185,3.435185,3.055563,44804400
1995-12-12,3.453704,3.453704,3.287037,3.296296,2.932024,34990000
1995-12-13,3.287037,3.324074,3.185185,3.203704,2.849662,51724800
1995-12-14,3.222222,3.268518,2.972222,3.101852,2.759067,109447200
1995-12-15,3.194444,3.277778,3.175926,3.212963,2.857898,122081200
1995-12-18,3.212963,3.212963,2.953704,3.055556,2.717887,83241600
1995-12-19,3.111111,3.314815,3.083333,3.314815,2.948496,80933200
1995-12-20,3.388889,3.388889,3.175926,3.185185,2.833191,51554400
1995-12-21,3.203704,3.240741,3.129630,3.166667,2.816719,56762800
1995-12-22,3.166667,3.314815,3.166667,3.277778,2.915551,41440000
1995-12-26,3.305556,3.314815,3.259259,3.287037,2.923787,16459200
1995-12-27,3.296296,3.305556,3.203704,3.222222,2.866134,30029200
1995-12-28,3.203704,3.203704,3.129630,3.138889,2.792011,51989200
1995-12-29,3.148148,3.166667,3.092592,3.138889,2.792011,45870000
1996-01-02,3.166667,3.212963,3.138889,3.203704,2.849662,45602800
1996-01-03,3.148148,3.212963,3.055556,3.055556,2.717887,55518000
1996-01-04,3.083333,3.083333,2.935185,3.018518,2.684943,129803200
1996-01-05,2.972222,3.185185,2.944444,3.175926,2.824955,83783200
1996-01-08,3.222222,3.231482,3.120370,3.129630,2.783775,12593200
1996-01-09,3.138889,3.138889,2.925926,2.981482,2.651999,96068400
1996-01-10,2.935185,3.148148,2.925926,3.037037,2.701415,124564000
1996-01-11,3.083333,3.129630,3.018518,3.101852,2.759067,61104400
1996-01-12,3.111111,3.157408,3.083333,3.157408,2.808483,61249200
1996-01-15,3.175926,3.185185,2.925926,2.962963,2.635525,69793200
1996-01-16,2.990741,3.101852,2.944444,3.092592,2.750831,78514000
1996-01-17,3.046296,3.277778,3.037037,3.166667,2.816719,79512000
1996-01-18,3.203704,3.296296,3.203704,3.296296,2.932024,56856400
1996-01-19,3.324074,3.407408,3.296296,3.370370,2.997912,63830400
1996-01-22,3.351852,3.435185,3.351852,3.407408,3.030855,51492400
1996-01-23,3.388889,3.500000,3.370370,3.425926,3.047327,67290000
1996-01-24,3.481482,3.638889,3.425926,3.638889,3.236756,88524400
1996-01-25,3.657408,3.666667,3.500000,3.537037,3.146160,57434800
1996-01-26,3.509259,3.574074,3.444444,3.509259,3.121452,54751200
1996-01-29,3.518518,3.564815,3.490741,3.490741,3.104980,22008400
1996-01-30,3.509259,3.537037,3.472222,3.509259,3.121452,25807200
1996-01-31,3.537037,3.564815,3.462963,3.537037,3.146160,49115200
1996-02-01,3.527778,3.555556,3.481482,3.527778,3.137923,33097200
1996-02-02,3.537037,3.675926,3.527778,3.648148,3.244992,62912400
1996-02-05,3.648148,3.777778,3.629630,3.759259,3.343823,61314000
1996-02-06,3.768518,3.777778,3.657408,3.712963,3.302644,71672400
1996-02-07,3.703704,3.712963,3.587963,3.620370,3.220284,50296000
1996-02-08,3.611111,3.722222,3.564815,3.722222,3.310880,61416400
1996-02-09,3.712963,3.814815,3.629630,3.638889,3.236756,91428000
1996-02-12,3.638889,3.731482,3.629630,3.699074,3.290291,41428800
1996-02-13,3.620370,3.759259,3.611111,3.722222,3.310880,56459200
1996-02-14,3.731482,3.805556,3.685185,3.791667,3.372650,55507200
1996-02-15,3.777778,3.935185,3.777778,3.916667,3.483837,79474000
1996-02-16,3.907408,3.944444,3.861111,3.888889,3.459129,60269200
1996-02-20,3.796296,3.907408,3.787037,3.842592,3.417948,41756400
1996-02-21,3.870370,3.925926,3.824074,3.925926,3.492073,33825600
1996-02-22,3.962963,4.046296,3.962963,4.009259,3.566197,62515600
1996-02-23,4.027778,4.037037,3.884259,3.972222,3.533253,53784400
1996-02-26,4.000000,4.074074,3.962963,4.018518,3.574433,50557200
1996-02-27,4.037037,4.037037,3.907408,3.921296,3.487954,54656800
1996-02-28,3.935185,4.018518,3.888889,3.907408,3.475600,40702000
1996-02-29,3.851852,3.925926,3.787037,3.851852,3.426184,44960400
1996-03-01,3.861111,3.861111,3.620370,3.638889,3.236756,79750800
1996-03-04,3.694444,3.703704,3.555556,3.583333,3.187340,47477200
1996-03-05,3.564815,3.851852,3.537037,3.833333,3.409713,65632000
1996-03-06,3.740741,3.777778,3.583333,3.675926,3.269700,117099600
1996-03-07,3.722222,3.722222,3.675926,3.685185,3.277937,59216400
1996-03-08,3.592592,3.685185,3.481482,3.481482,3.096743,71002800
1996-03-11,3.555556,3.703704,3.518518,3.694444,3.286172,56098800
1996-03-12,3.666667,3.685185,3.518518,3.574074,3.179104,68634000
1996-03-13,3.629630,3.712963,3.611111,3.675926,3.269700,60023200
1996-03-14,3.694444,3.703704,3.546296,3.564815,3.170868,74817600
1996-03-15,3.592592,3.685185,3.564815,3.620370,3.220284,106088400
1996-03-18,3.675926,3.740741,3.675926,3.722222,3.310880,45759600
1996-03-19,3.768518,3.796296,3.657408,3.694444,3.286172,40910400
1996-03-20,3.694444,3.708333,3.611111,3.694444,3.286172,33072000
1996-03-21,3.703704,3.722222,3.583333,3.601852,3.203811,41194800
1996-03-22,3.648148,3.648148,3.462963,3.620370,3.220284,87752400
1996-03-25,3.648148,3.666667,3.527778,3.527778,3.137923,68666800
1996-03-26,3.509259,3.620370,3.481482,3.555556,3.162632,48683200
1996-03-27,3.564815,3.620370,3.546296,3.574074,3.179104,24835200
1996-03-28,3.537037,3.611111,3.518518,3.564815,3.170868,38156400
1996-03-29,3.583333,3.592592,3.472222,3.490741,3.104980,29840800
1996-04-01,3.518518,3.527778,3.407408,3.472222,3.088508,50288400
1996-04-02,3.518518,3.527778,3.453704,3.481482,3.096743,28574800
1996-04-03,3.453704,3.453704,3.351852,3.379630,3.006147,88381600
1996-04-04,3.388889,3.425926,3.361111,3.370370,2.997912,70027200
1996-04-08,3.259259,3.268518,3.185185,3.203704,2.849662,193920000
1996-04-09,3.250000,3.259259,2.943281,3.074074,2.734359,388101600
1996-04-10,3.129630,3.250000,3.129630,3.203704,2.849662,146442400
1996-04-11,3.222222,3.296296,3.134259,3.250000,2.890843,92761200
1996-04-12,3.268518,3.277778,3.185185,3.259259,2.899079,51095200
1996-04-15,3.259259,3.296296,3.203704,3.217592,2.862017,36982800
1996-04-16,3.342592,3.425926,3.324074,3.393518,3.018501,82638400
1996-04-17,3.402778,3.500000,3.388889,3.458333,3.076153,56881600
1996-04-18,3.513889,3.555556,3.486111,3.527778,3.137923,39338800
1996-04-19,3.638889,3.652778,3.527778,3.555556,3.162632,50414400
1996-04-22,3.625000,3.708333,3.607633,3.680556,3.273817,54228400
1996-04-23,3.708333,3.805556,3.694444,3.777778,3.360296,41809200
1996-04-24,3.833333,3.895833,3.789922,3.847222,3.422066,58420800
1996-04-25,3.861111,3.861111,3.722222,3.819444,3.397358,33487200
1996-04-26,3.777778,3.902778,3.777778,3.791667,3.372650,27234000
1996-04-29,3.791667,3.861111,3.763889,3.805556,3.385005,19857600
1996-04-30,3.833333,3.847222,3.708333,3.750000,3.335588,23940000
1996-05-01,3.750000,3.819444,3.708333,3.791667,3.372650,21137200
1996-05-02,3.791667,3.791667,3.638889,3.652778,3.249110,29428000
1996-05-03,3.715278,3.763889,3.638889,3.701389,3.292349,29212000
1996-05-06,3.708333,3.805556,3.708333,3.791667,3.372650,26137600
1996-05-07,3.805556,3.805556,3.694444,3.722222,3.310880,29140000
1996-05-08,3.722222,3.722222,3.555556,3.652778,3.249110,45999600
1996-05-09,3.694444,3.736111,3.666667,3.736111,3.323234,18920400
1996-05-10,3.776033,3.791667,3.722222,3.763889,3.347942,28980400
1996-05-13,3.777778,3.888889,3.750000,3.875000,3.446775,31298800
1996-05-14,3.902778,3.958333,3.888889,3.902778,3.471482,39534000
1996-05-15,3.902778,3.930556,3.819444,3.833333,3.409713,29282800
1996-05-16,3.791667,3.916667,3.763889,3.888889,3.459129,36248400
1996-05-17,3.930556,3.986111,3.875000,3.902778,3.471482,27947200
1996-05-20,3.930556,4.000000,3.930556,3.944444,3.508545,30397200
1996-05-21,3.984367,4.000000,3.930556,3.944444,3.508545,28045600
1996-05-22,3.930556,3.972222,3.708333,3.777778,3.360296,57283200
1996-05-23,3.861111,3.861111,3.722222,3.763889,3.347942,60604000
1996-05-24,3.819444,3.819444,3.694444,3.694444,3.286172,31228800
1996-05-28,3.736111,3.736111,3.666667,3.680556,3.273817,30819600
1996-05-29,3.708333,3.708333,3.611111,3.638889,3.236756,29542000
1996-05-30,3.652778,3.750000,3.611111,3.694444,3.286172,28426000
1996-05-31,3.750000,3.763889,3.638889,3.680556,3.273817,44240400
1996-06-03,3.680556,3.680556,3.583333,3.611111,3.212048,47610000
1996-06-04,3.652778,3.680556,3.597222,3.666667,3.261464,40732800
1996-06-05,3.680556,3.777778,3.638889,3.777778,3.360296,33570400
1996-06-06,3.791667,3.833333,3.638889,3.652778,3.249110,35834400
1996-06-07,3.597222,3.763889,3.555556,3.763889,3.347942,33907200
1996-06-10,3.777778,3.819444,3.666667,3.687500,3.279995,24889200
1996-06-11,3.722222,3.819444,3.694444,3.763889,3.347942,31120800
1996-06-12,3.819444,3.875000,3.791667,3.833333,3.409713,40072000
1996-06-13,3.833333,3.847222,3.750000,3.819444,3.397358,25837600
1996-06-14,3.819444,3.819444,3.708333,3.763889,3.347942,27813600
1996-06-17,3.819444,3.819444,3.722222,3.763889,3.347942,24302400
1996-06-18,3.777778,3.791667,3.680556,3.722222,3.310880,28930000
1996-06-19,3.736111,3.833333,3.708333,3.819444,3.397358,45619600
1996-06-20,3.861111,3.958333,3.722222,3.875000,3.446775,62536000
1996-06-21,4.236111,4.250000,4.041667,4.222222,3.755626,140348400
1996-06-24,4.208333,4.236111,4.152778,4.208333,3.743271,41875600
1996-06-25,4.208333,4.305555,4.180555,4.236111,3.767979,41244000
1996-06-26,4.236111,4.236111,4.138889,4.152778,3.693855,34527600
1996-06-27,4.152778,4.388889,4.111111,4.388889,3.903874,50740800
1996-06-28,4.402778,4.486111,4.319445,4.381945,3.897696,53573200
1996-07-01,4.388889,4.444445,4.333333,4.347222,3.866812,27046800
1996-07-02,4.319445,4.361111,4.236111,4.250000,3.780334,32082000
1996-07-03,4.236111,4.250000,4.194445,4.250000,3.780334,23870400
1996-07-05,4.180555,4.194445,4.097222,4.125000,3.669146,14092800
1996-07-08,4.125000,4.250000,4.069445,4.194445,3.730917,49334400
1996-07-09,4.263889,4.291667,4.138889,4.166667,3.706209,29491600
1996-07-10,4.194445,4.263889,4.125000,4.263889,3.792686,35836800
1996-07-11,4.208333,4.236111,4.083333,4.180555,3.718563,62100400
1996-07-12,4.222222,4.250000,4.069445,4.138889,3.681501,29214400
1996-07-15,4.140622,4.166667,3.944444,3.986111,3.545606,50607600
1996-07-16,3.944444,4.083333,3.694444,4.027778,3.582669,104452800
1996-07-17,4.138889,4.208333,4.000000,4.166667,3.706209,66102000
1996-07-18,4.180555,4.236111,4.138889,4.222222,3.755626,38336800
1996-07-19,4.180555,4.194445,4.097222,4.125000,3.669146,31993200
1996-07-22,4.111111,4.125000,4.055555,4.111111,3.656793,24928800
1996-07-23,4.138889,4.194445,3.986111,4.000000,3.557961,42314400
1996-07-24,3.833333,4.097222,3.833333,4.055555,3.607377,49374400
1996-07-25,4.055555,4.250000,4.055555,4.236111,3.767979,52945200
1996-07-26,4.222222,4.277778,4.180555,4.236111,3.767979,29223600
1996-07-29,4.194445,4.305555,4.194445,4.194445,3.730917,22145200
1996-07-30,4.222222,4.250000,4.125000,4.250000,3.780334,16802800
1996-07-31,4.263889,4.347222,4.250000,4.347222,3.866812,31266400
1996-08-01,4.347222,4.430555,4.319445,4.361111,3.879166,33699600
1996-08-02,4.402778,4.444445,4.375000,4.402778,3.916226,37225600
1996-08-05,4.416667,4.430555,4.263889,4.291667,3.817394,20058000
1996-08-06,4.277778,4.444445,4.236111,4.430555,3.940935,28454400
1996-08-07,4.458333,4.666667,4.430555,4.645833,4.132424,60687600
1996-08-08,4.597222,4.680555,4.527778,4.527778,4.027414,36590800
1996-08-09,4.513889,4.652778,4.458333,4.597222,4.089184,42211600
1996-08-12,4.611111,4.666667,4.513889,4.583333,4.076830,27784800
1996-08-13,4.541667,4.583333,4.444445,4.513889,4.015060,32004000
1996-08-14,4.527778,4.583333,4.472222,4.513889,4.015060,22608000
1996-08-15,4.513889,4.513889,4.416667,4.430555,3.940935,27615600
1996-08-16,4.472222,4.472222,4.388889,4.416667,3.928583,28794400
1996-08-19,4.444445,4.444445,4.361111,4.402778,3.916226,23042400
1996-08-20,4.388889,4.402778,4.250000,4.333333,3.854456,37595200
1996-08-21,4.208333,4.222222,4.111111,4.208333,3.743271,66442000
1996-08-22,4.208333,4.236111,4.166667,4.236111,3.767979,31723200
1996-08-23,4.236111,4.361111,4.208333,4.319445,3.842104,35185200
1996-08-26,4.305555,4.305555,4.236111,4.236111,3.767979,17714400
1996-08-27,4.263889,4.305555,4.222222,4.250000,3.780334,21181200
1996-08-28,4.263889,4.263889,4.111111,4.152778,3.693855,37978000
1996-08-29,4.138889,4.166667,4.041667,4.041667,3.595022,36720000
1996-08-30,4.000000,4.027778,3.902778,3.916667,3.483837,59006400
1996-09-03,3.861111,4.152778,3.833333,4.138889,3.681501,42780400
1996-09-04,4.125000,4.194445,4.055555,4.180555,3.718563,36766800
1996-09-05,4.166667,4.250000,4.097222,4.111111,3.656793,45176400
1996-09-06,4.138889,4.194445,4.111111,4.166667,3.706209,28922800
1996-09-09,4.180555,4.194445,4.083333,4.166667,3.706209,21618400
1996-09-10,4.194445,4.208333,4.111111,4.166667,3.706209,21914800
1996-09-11,4.138889,4.138889,4.000000,4.069445,3.619730,36380400
1996-09-12,4.097222,4.208333,4.013889,4.166667,3.706209,72135600
1996-09-13,4.513889,4.680555,4.444445,4.680555,4.163309,137418000
1996-09-16,4.666667,4.694445,4.569445,4.625000,4.113893,65257200
1996-09-17,4.694445,4.694445,4.611111,4.625000,4.113893,47449600
1996-09-18,4.611111,4.888889,4.583333,4.819445,4.286849,70453600
1996-09-19,4.819445,4.875000,4.729167,4.833333,4.299203,41036800
1996-09-20,4.847222,4.944445,4.750000,4.944445,4.398034,51914400
1996-09-23,4.902778,4.916667,4.763889,4.763889,4.237434,26159200
1996-09-24,4.777778,4.833333,4.736111,4.805555,4.274496,32218800
1996-09-25,4.847222,4.861111,4.763889,4.812500,4.280673,25498800
1996-09-26,4.833333,4.888889,4.680555,4.708333,4.188017,42944800
1996-09-27,4.708333,4.791667,4.666667,4.770833,4.243610,31670800
1996-09-30,4.763889,4.791667,4.722222,4.729167,4.206548,19625200
1996-10-01,4.715278,4.784722,4.694445,4.736111,4.212725,28844800
1996-10-02,4.750000,4.916667,4.736111,4.916667,4.373327,69026800
1996-10-03,4.958333,5.000000,4.888889,4.916667,4.373327,47147200
1996-10-04,4.958333,5.055555,4.944445,5.027778,4.472159,44636800
1996-10-07,5.055555,5.152778,5.013889,5.111111,4.546282,40375600
1996-10-08,5.125000,5.125000,4.958333,4.972222,4.422743,27200400
1996-10-09,5.027778,5.041667,4.888889,4.902778,4.360972,27216000
1996-10-10,4.888889,5.013889,4.875000,4.986111,4.435096,24118000
1996-10-11,5.013889,5.055555,4.972222,5.013889,4.459805,20200000
1996-10-14,5.027778,5.083333,4.986111,5.055555,4.496868,20278800
1996-10-15,5.097222,5.111111,4.958333,4.972222,4.422743,29950800
1996-10-16,4.958333,4.986111,4.916667,4.944445,4.398034,17309200
1996-10-17,4.986111,5.013889,4.847222,4.861111,4.323911,25298800
1996-10-18,4.875000,4.972222,4.847222,4.944445,4.398034,32248800
1996-10-21,4.944445,5.013889,4.763889,4.791667,4.262139,25776400
1996-10-22,4.750000,4.763889,4.611111,4.666667,4.150953,41041600
1996-10-23,4.666667,4.763889,4.611111,4.708333,4.188017,39315600
1996-10-24,4.750000,4.875000,4.638889,4.777778,4.249787,24696000
1996-10-25,4.763889,4.805555,4.694445,4.701389,4.181839,14218800
1996-10-28,4.750000,4.819445,4.694445,4.722222,4.200370,22207200
1996-10-29,4.736111,4.777778,4.597222,4.611111,4.101537,21115600
1996-10-30,4.638889,4.666667,4.555555,4.569445,4.064476,25898400
1996-10-31,4.597222,4.736111,4.541667,4.701389,4.181839,34004400
1996-11-01,4.763889,4.930555,4.750000,4.902778,4.360972,44876400
1996-11-04,4.944445,4.986111,4.888889,4.972222,4.422743,27158400
1996-11-05,5.013889,5.027778,4.791667,4.902778,4.360972,71874000
1996-11-06,4.958333,5.055555,4.902778,5.000000,4.447452,61610800
1996-11-07,5.013889,5.055555,4.916667,5.013889,4.459805,52985200
1996-11-08,5.013889,5.125000,5.000000,5.109367,4.544732,45939600
1996-11-11,5.138889,5.194445,5.027778,5.069445,4.509221,29286000
1996-11-12,5.097222,5.111111,4.958333,4.986111,4.435096,22622800
1996-11-13,5.013889,5.097222,4.930555,5.055555,4.496868,23460000
1996-11-14,5.069445,5.319445,5.027778,5.263889,4.682178,41656000
1996-11-15,5.319445,5.361111,5.138889,5.222222,4.645113,39432400
1996-11-18,5.222222,5.250000,5.055555,5.166667,4.595698,23641200
1996-11-19,5.166667,5.194445,5.111111,5.125000,4.558638,26652400
1996-11-20,5.180555,5.319445,5.125000,5.319445,4.731593,31980400
1996-11-21,5.333333,5.500000,5.222222,5.250000,4.669824,53435200
1996-11-22,5.263889,5.569445,5.263889,5.527778,4.916903,39298000
1996-11-25,5.541667,5.569445,5.430555,5.527778,4.916903,44185200
1996-11-26,5.527778,5.569445,5.375000,5.500000,4.892195,35476000
1996-11-27,5.527778,5.527778,5.444445,5.472222,4.867488,21384000
1996-11-29,5.493055,5.513889,5.444445,5.444445,4.842780,9448800
1996-12-02,5.430555,5.527778,5.361111,5.513889,4.904551,25705600
1996-12-03,5.541667,5.666667,5.501733,5.527778,4.916903,37220400
1996-12-04,5.513889,5.527778,5.166667,5.194445,4.620408,77348400
1996-12-05,5.194445,5.222222,5.097222,5.208333,4.632761,45355200
1996-12-06,5.055555,5.194445,4.986111,5.069445,4.509221,44388000
1996-12-09,5.111111,5.416667,5.083333,5.416667,4.818072,39070800
1996-12-10,5.541667,5.583333,5.430555,5.486111,4.879842,42397200
1996-12-11,5.402778,5.486111,5.222222,5.333333,4.743948,51596800
1996-12-12,5.416667,5.486111,5.222222,5.250000,4.669824,39253200
1996-12-13,4.875000,4.958333,4.770833,4.888889,4.348619,226649200
1996-12-16,4.958333,4.972222,4.708333,4.729167,4.206548,67174000
1996-12-17,4.694445,4.819445,4.611111,4.805555,4.274496,69094800
1996-12-18,4.819445,4.833333,4.666667,4.694445,4.175663,67948800
1996-12-19,4.763889,4.777778,4.638889,4.680555,4.163309,70351200
1996-12-20,4.708333,4.888889,4.583333,4.805555,4.274496,67197600
1996-12-23,4.819445,4.847222,4.666667,4.708333,4.188017,25519200
1996-12-24,4.722222,4.819445,4.666667,4.805555,4.274496,9664000
1996-12-26,4.819445,4.902778,4.805555,4.895833,4.354796,26186800
1996-12-27,4.902778,4.902778,4.722222,4.763889,4.237434,26539600
1996-12-30,4.791667,4.819445,4.625000,4.631945,4.120068,27697200
1996-12-31,4.652778,4.708333,4.625000,4.638889,4.126245,31612000
1997-01-02,4.680555,4.722222,4.527778,4.666667,4.150953,54342000
1997-01-03,4.750000,4.958333,4.736111,4.958333,4.410389,47344000
1997-01-06,5.000000,5.013889,4.956589,4.986111,4.435096,35467600
1997-01-07,4.972222,4.986111,4.875000,4.972222,4.422743,32473600
1997-01-08,4.979167,5.013889,4.798611,4.819445,4.286849,41618400
1997-01-09,4.875000,4.888889,4.625000,4.638889,4.126245,81560400
1997-01-10,4.625000,4.652778,4.500000,4.541667,4.039767,120012000
1997-01-13,4.583333,4.597222,4.513889,4.555555,4.052123,53683200
1997-01-14,4.611111,4.861111,4.597222,4.805555,4.274496,65166000
1997-01-15,4.847222,4.847222,4.583333,4.583333,4.076830,52612000
1997-01-16,4.652778,4.750000,4.562500,4.583333,4.076830,61376400
1997-01-17,4.583333,4.708333,4.555555,4.611111,4.101537,54756400
1997-01-20,4.652778,4.763889,4.625000,4.736111,4.212725,38761600
1997-01-21,4.763889,4.833333,4.611111,4.638889,4.126245,64057200
1997-01-22,4.638889,4.750000,4.625000,4.708333,4.188017,57422400
1997-01-23,4.763889,4.763889,4.486111,4.500000,4.002706,85063200
1997-01-24,4.513889,4.513889,4.347222,4.402778,3.916226,106879200
1997-01-27,4.416667,4.444445,4.166667,4.236111,3.767979,105248400
1997-01-28,4.402778,4.402778,4.138889,4.180555,3.718563,136550400
1997-01-29,4.236111,4.277778,4.166667,4.187500,3.724741,85716400
1997-01-30,4.236111,4.250000,4.111111,4.166667,3.706209,96756000
1997-01-31,4.208333,4.416667,4.166667,4.319445,3.842104,85518000
1997-02-03,4.375000,4.472222,4.347222,4.375000,3.891519,59693200
1997-02-04,4.416667,4.472222,4.361111,4.430555,3.940935,50998000
1997-02-05,4.500000,4.500000,4.180555,4.291667,3.817394,71854000
1997-02-06,4.319445,4.458333,4.305555,4.388889,3.903874,70651600
1997-02-07,4.458333,4.486111,4.361111,4.444445,3.953291,34070400
1997-02-10,4.472222,4.541667,4.430555,4.458333,3.965643,48582400
1997-02-11,4.458333,4.486111,4.305555,4.347222,3.866812,68290000
1997-02-12,4.444445,4.611111,4.430555,4.604167,4.095362,79970400
1997-02-13,4.652778,4.694445,4.541667,4.590278,4.083007,49575600
1997-02-14,4.597222,4.652778,4.527778,4.541667,4.039767,36990400
1997-02-18,4.569445,4.569445,4.430555,4.527778,4.027414,36747600
1997-02-19,4.527778,4.652778,4.472222,4.597222,4.089184,36259200
1997-02-20,4.625000,4.736111,4.618055,4.638889,4.126245,59025600
1997-02-21,4.652778,4.666667,4.486111,4.541667,4.039767,53787600
1997-02-24,4.500000,4.541667,4.430555,4.479167,3.984174,35872000
1997-02-25,4.513889,4.569445,4.451389,4.541667,4.039767,33200800
1997-02-26,4.541667,4.611111,4.458333,4.527778,4.027414,27000000
1997-02-27,4.527778,4.527778,4.430555,4.444445,3.953291,32756800
1997-02-28,4.416667,4.458333,4.319445,4.361111,3.879166,45770400
1997-03-03,4.361111,4.388889,4.236111,4.375000,3.891519,55296400
1997-03-04,4.402778,4.444445,4.305555,4.388889,3.903874,68404000
1997-03-05,4.416667,4.500000,4.319445,4.416667,3.928583,38626800
1997-03-06,4.416667,4.416667,3.958333,4.062500,3.613554,170809600
1997-03-07,4.125000,4.180555,3.916667,3.979167,3.539430,119399200
1997-03-10,4.013889,4.083333,3.861111,4.000000,3.557961,86598400
1997-03-11,4.055555,4.069445,3.902778,3.972222,3.533253,56134800
1997-03-12,3.958333,3.972222,3.736111,3.791667,3.372650,77609200
1997-03-13,3.805556,4.111111,3.791667,4.013889,3.570314,120247600
1997-03-14,4.402778,4.569445,4.388889,4.555555,4.052123,155834800
1997-03-17,4.500000,4.680555,4.430555,4.666667,4.150953,84920800
1997-03-18,4.680555,4.722222,4.430555,4.500000,4.002706,65855200
1997-03-19,4.416667,4.444445,4.250000,4.375000,3.891519,72075600
1997-03-20,4.361111,4.500000,4.319445,4.430555,3.940935,53210400
1997-03-21,4.472222,4.500000,4.416667,4.430555,3.940935,46664800
1997-03-24,4.388889,4.444445,4.319445,4.430555,3.940935,43705600
1997-03-25,4.458333,4.500000,4.291667,4.333333,3.854456,52729600
1997-03-26,4.361111,4.527778,4.333333,4.500000,4.002706,44324800
1997-03-27,4.513889,4.527778,4.291667,4.375000,3.891519,48680800
1997-03-31,4.347222,4.375000,4.222222,4.284722,3.811220,40222800
1997-04-01,4.055555,4.291667,4.027778,4.111111,3.656793,71017600
1997-04-02,4.125000,4.180555,4.027778,4.083333,3.632085,42739200
1997-04-03,4.097222,4.305555,4.013889,4.291667,3.817394,71208400
1997-04-04,4.222222,4.416667,4.208333,4.319445,3.842104,54000000
1997-04-07,4.388889,4.430555,4.319445,4.416667,3.928583,37730400
1997-04-08,4.388889,4.416667,4.305555,4.388889,3.903874,27486000
1997-04-09,4.402778,4.444445,4.250000,4.263889,3.792686,39940000
1997-04-10,4.263889,4.277778,4.138889,4.166667,3.706209,34047600
1997-04-11,4.097222,4.138889,4.055555,4.055555,3.607377,42588000
1997-04-14,4.069445,4.333333,4.000000,4.319445,3.842104,41932800
1997-04-15,4.361111,4.402778,4.013889,4.145833,3.687678,67640400
1997-04-16,4.111111,4.180555,4.055555,4.166667,3.706209,31331200
1997-04-17,4.194445,4.333333,4.097222,4.118055,3.662971,37100400
1997-04-18,4.152778,4.194445,4.013889,4.125000,3.669146,53864800
1997-04-21,4.083333,4.125000,3.986111,4.013889,3.570314,30331600
1997-04-22,4.041667,4.041667,3.875000,3.916667,3.483837,48248800
1997-04-23,3.944444,4.222222,3.902778,4.194445,3.730917,69930400
1997-04-24,4.250000,4.430555,4.236111,4.388889,3.903874,66722800
1997-04-25,4.347222,4.375000,4.208333,4.208333,3.743271,32589600
1997-04-28,4.222222,4.319445,4.083333,4.222222,3.755626,30512400
1997-04-29,4.333333,4.430555,4.222222,4.277778,3.805041,55114000
1997-04-30,4.236111,4.444445,4.222222,4.416667,3.928583,80145600
1997-05-01,4.430555,4.569445,4.402778,4.493055,3.996527,81002400
1997-05-02,4.486111,4.736111,4.472222,4.722222,4.200370,65894400
1997-05-05,4.763889,5.013889,4.750000,4.972222,4.422743,123752400
1997-05-06,4.958333,5.000000,4.805555,4.881945,4.342444,62184400
1997-05-07,4.805555,4.944445,4.763889,4.777778,4.249787,45734400
1997-05-08,4.736111,4.944445,4.694445,4.875000,4.336265,60463600
1997-05-09,4.902778,4.972222,4.750000,4.875000,4.336265,42534000
1997-05-12,4.847222,4.958333,4.777778,4.861111,4.323911,37386400
1997-05-13,4.916667,5.083333,4.902778,4.979167,4.428921,93182800
1997-05-14,5.111111,5.125000,4.875000,4.923611,4.379503,74369200
1997-05-15,4.930555,5.125000,4.916667,5.104167,4.540106,64282000
1997-05-16,4.986111,5.097222,4.916667,4.930555,4.385682,69361200
1997-05-19,4.916667,4.944445,4.833333,4.916667,4.373327,35838000
1997-05-20,4.930555,5.027778,4.861111,5.027778,4.472159,44722800
1997-05-21,5.097222,5.236111,5.097222,5.215278,4.638939,80141200
1997-05-22,5.263889,5.291667,5.166667,5.194445,4.620408,43659600
1997-05-23,5.194445,5.263889,5.138889,5.222222,4.645113,22555600
1997-05-27,5.166667,5.319445,5.111111,5.263889,4.682178,39391200
1997-05-28,5.250000,5.305555,5.166667,5.236111,4.657469,40014000
1997-05-29,5.263889,5.347222,5.194445,5.236111,4.657469,48439600
1997-05-30,4.888889,5.236111,4.888889,5.180555,4.608054,69277200
1997-06-02,5.194445,5.444445,5.111111,5.444445,4.842780,55036800
1997-06-03,5.416667,5.430555,5.159722,5.166667,4.595698,59567200
1997-06-04,5.180555,5.270833,5.111111,5.187500,4.614232,51326800
1997-06-05,5.236111,5.375000,5.222222,5.277778,4.694531,49992000
1997-06-06,5.277778,5.444445,5.263889,5.444445,4.842780,60370000
1997-06-09,5.437500,5.513889,5.416667,5.444445,4.842780,44697600
1997-06-10,5.437500,5.479167,5.270833,5.291667,4.706884,41639200
1997-06-11,5.291667,5.437500,5.243055,5.409722,4.811897,31883200
1997-06-12,5.402778,5.548611,5.381945,5.510411,4.901457,52849600
1997-06-13,5.500000,5.777778,5.458333,5.777778,5.139277,95150400
1997-06-16,5.777778,5.888889,5.680555,5.812500,5.170162,85806000
1997-06-17,5.784722,5.944445,5.763889,5.916667,5.262816,67363600
1997-06-18,5.625000,5.763889,5.555555,5.590278,4.972497,99493200
1997-06-19,5.583333,5.638889,5.486111,5.506945,4.898373,63288000
1997-06-20,5.513889,5.541667,5.361111,5.361111,4.768656,79124800
1997-06-23,5.416667,5.513889,5.361111,5.361111,4.768656,64330800
1997-06-24,5.444445,5.597222,5.347222,5.569445,4.953968,51370800
1997-06-25,5.611111,5.777778,5.513889,5.659722,5.034267,73665600
1997-06-26,5.638889,5.756945,5.597222,5.631945,5.009559,45954000
1997-06-27,5.652778,5.708333,5.590278,5.597222,4.978674,34057600
1997-06-30,5.597222,5.652778,5.458333,5.597222,4.978674,30344800
1997-07-01,5.548611,5.597222,5.347222,5.395833,4.799540,46398400
1997-07-02,5.409722,5.416667,5.263889,5.347222,4.756302,52347600
1997-07-03,5.375000,5.541667,5.361111,5.527778,4.916903,22314400
1997-07-07,5.541667,5.625000,5.444445,5.479167,4.873665,28595200
1997-07-08,5.479167,5.666667,5.472222,5.659722,5.034267,30799600
1997-07-09,5.694445,5.812500,5.666667,5.729167,5.096037,57402400
1997-07-10,5.722222,5.854167,5.569445,5.784722,5.145454,48904000
1997-07-11,5.777778,5.875000,5.763889,5.812500,5.170162,29149600
1997-07-14,5.812500,5.979167,5.812500,5.972222,5.312233,35348400
1997-07-15,6.111111,6.305555,6.069445,6.274300,5.580930,72235600
1997-07-16,6.402778,6.555555,6.368055,6.381945,5.676676,75413200
1997-07-17,6.395833,6.402778,6.194445,6.208333,5.522252,54171600
1997-07-18,6.187500,6.284722,6.000000,6.208333,5.522252,73792800
1997-07-21,6.208333,6.208333,6.041667,6.131945,5.454305,27925600
1997-07-22,6.152778,6.333333,6.055555,6.319445,5.621084,36589200
1997-07-23,6.381945,6.416667,6.111111,6.291667,5.596375,51559600
1997-07-24,6.236111,6.298611,6.055555,6.083333,5.411065,45484800
1997-07-25,6.097222,6.236111,6.041667,6.083333,5.411065,39303600
1997-07-28,6.104167,6.180555,5.986111,6.055555,5.386356,29468400
1997-07-29,6.048611,6.083333,5.951389,6.055555,5.386356,30496000
1997-07-30,6.069445,6.250000,6.013889,6.152778,5.472835,32689600
1997-07-31,6.166667,6.236111,6.027778,6.048611,5.380180,28381200
1997-08-01,6.069445,6.194445,6.041667,6.097222,5.423419,39107200
1997-08-04,6.125000,6.263889,6.097222,6.236111,5.546960,28911600
1997-08-05,6.291667,6.333333,6.208333,6.312500,5.614906,37244400
1997-08-06,6.333333,6.458333,6.277778,6.444445,5.732269,44258400
1997-08-07,6.472222,6.486111,6.305555,6.319445,5.621084,49798800
1997-08-08,6.250000,6.430555,6.166667,6.375000,5.670500,59587600
1997-08-11,6.416667,6.430555,6.173611,6.333333,5.633438,38808400
1997-08-12,6.381945,6.388889,6.250000,6.250000,5.559314,25628800
1997-08-13,6.333333,6.347222,6.166667,6.305555,5.608728,33688800
1997-08-14,6.333333,6.444445,6.312500,6.430555,5.719916,37004400
1997-08-15,6.430555,6.513889,6.180555,6.194445,5.509898,46280400
1997-08-18,6.208333,6.437500,6.020833,6.416667,5.707561,30523600
1997-08-19,6.572917,6.864583,6.500000,6.854167,6.096715,60157200
1997-08-20,6.979167,7.020833,6.760417,6.833333,6.078184,54691200
1997-08-21,6.885417,6.895833,6.645833,6.666667,5.929935,36745200
1997-08-22,6.562500,6.812500,6.416667,6.812500,6.059652,41149200
1997-08-25,6.833333,6.843750,6.593750,6.604167,5.874341,27442000
1997-08-26,6.604167,6.625000,6.406250,6.437500,5.726094,50060800
1997-08-27,6.479167,6.541667,6.302083,6.395833,5.689031,33187200
1997-08-28,6.395833,6.437500,6.020833,6.052083,5.383269,48157200
1997-08-29,6.145833,6.416667,6.062500,6.354167,5.651969,50159200
1997-09-02,6.437500,6.531250,6.354167,6.479167,5.763154,37926000
1997-09-03,6.541667,6.562500,6.395833,6.416667,5.707561,30378000
1997-09-04,6.458333,6.552083,6.416667,6.510417,5.790951,23112400
1997-09-05,6.562500,6.656250,6.510417,6.583333,5.855811,21586800
1997-09-08,6.614583,6.666667,6.531250,6.656250,5.920670,25388800
1997-09-09,6.656250,6.677083,6.520833,6.635417,5.902138,27785200
1997-09-10,6.604167,6.604167,6.270833,6.322917,5.624172,50615200
1997-09-11,6.333333,6.531250,6.197917,6.489583,5.772420,34526800
1997-09-12,6.541667,6.562500,6.312500,6.447917,5.735359,23408400
1997-09-15,6.479167,6.572917,6.322917,6.333333,5.633438,31686400
1997-09-16,6.395833,6.604167,6.333333,6.593750,5.865076,41924800
1997-09-17,6.229167,6.270833,5.958333,6.010417,5.346207,164461200
1997-09-18,6.135417,6.260417,6.031250,6.114583,5.438861,84763600
1997-09-19,6.145833,6.281250,6.062500,6.250000,5.559314,61997200
1997-09-22,6.312500,6.354167,6.187500,6.192700,5.508346,32969200
1997-09-23,6.197917,6.322917,6.156250,6.229167,5.540783,30796000
1997-09-24,6.416667,6.520833,6.312500,6.322917,5.624172,64599600
1997-09-25,6.302083,6.437500,6.177083,6.375000,5.670500,35756800
1997-09-26,6.406250,6.416667,6.229167,6.270833,5.577845,37310400
1997-09-29,6.291667,6.312500,6.145833,6.229167,5.540783,30647200
1997-09-30,6.229167,6.250000,6.072917,6.072917,5.401800,26588800
1997-10-01,6.166667,6.166667,5.937500,6.000000,5.336940,37809600
1997-10-02,6.041667,6.125000,5.916667,6.000000,5.336940,32830800
1997-10-03,6.104167,6.291667,6.052083,6.145833,5.466659,32593200
1997-10-06,6.208333,6.291667,6.125000,6.177083,5.494455,21720000
1997-10-07,6.187500,6.291667,6.132800,6.255200,5.563939,25854400
1997-10-08,6.291667,6.291667,6.125000,6.208333,5.522252,22747200
1997-10-09,6.166667,6.250000,6.125000,6.197917,5.512986,17358000
1997-10-10,6.104167,6.166667,6.000000,6.020833,5.355473,38638000
1997-10-13,6.083333,6.114583,6.020833,6.062500,5.392535,21827200
1997-10-14,6.052083,6.104167,5.937500,6.000000,5.336940,23269600
1997-10-15,5.937500,5.989583,5.770833,5.822917,5.179426,53672800
1997-10-16,5.875000,5.916667,5.666667,5.739583,5.105304,36670800
1997-10-17,5.625000,5.760417,5.562500,5.697917,5.068242,45437200
1997-10-20,5.750000,5.822917,5.697917,5.750000,5.114568,29237200
1997-10-21,5.833333,5.958333,5.812500,5.947917,5.290613,38733600
1997-10-22,5.968750,6.062500,5.812500,5.843750,5.197959,27979600
1997-10-23,5.583333,5.791667,5.541667,5.687500,5.058978,30819600
1997-10-24,5.791667,5.854167,5.593750,5.656250,5.031180,34748400
1997-10-27,5.562500,5.666667,5.166667,5.208333,4.632761,43253200
1997-10-28,4.833333,5.812500,4.791667,5.791667,5.151631,80150400
1997-10-29,5.812500,5.979167,5.666667,5.843750,5.197959,62920000
1997-10-30,5.583333,5.979167,5.583333,5.625000,5.003383,49981200
1997-10-31,5.843750,5.979167,5.750000,5.963533,5.304505,55548000
1997-11-03,6.020833,6.125000,5.833333,5.979167,5.318412,49340800
1997-11-04,6.000000,6.145833,5.958333,6.114583,5.438861,42404800
1997-11-05,6.145833,6.208333,6.041667,6.062500,5.392535,24966400
1997-11-06,6.052083,6.062500,5.864583,5.895833,5.244286,29761200
1997-11-07,5.687500,5.854167,5.625000,5.822917,5.179426,32662000
1997-11-10,5.895833,6.000000,5.750000,5.770833,5.133100,24766800
1997-11-11,5.833333,5.854167,5.708333,5.822917,5.179426,23399200
1997-11-12,5.708333,5.833333,5.291667,5.416667,4.818072,50317600
1997-11-13,5.541667,5.604167,5.322917,5.562500,4.947790,44474400
1997-11-14,5.604167,5.812500,5.583333,5.739583,5.105304,30315600
1997-11-17,5.864583,6.020833,5.833333,5.875000,5.225755,44148000
1997-11-18,5.895833,5.906250,5.770833,5.791667,5.151631,20984400
1997-11-19,5.791667,5.833333,5.666667,5.802083,5.160895,18663600
1997-11-20,5.854167,5.968750,5.770833,5.864583,5.216490,24085200
1997-11-21,5.958333,5.979167,5.729167,5.833333,5.188694,31270800
1997-11-24,5.687500,5.708333,5.333333,5.416667,4.818072,63726000
1997-11-25,5.604167,5.666667,5.437500,5.572917,4.957056,46028400
1997-11-26,5.635417,5.697917,5.437500,5.479167,4.873665,29482800
1997-11-28,5.479167,5.583333,5.416667,5.552083,4.938524,13800400
1997-12-01,5.375000,5.395833,5.208333,5.312500,4.725417,73718800
1997-12-02,5.270833,5.281250,5.000000,5.062500,4.503043,60875200
1997-12-03,5.031250,5.104167,4.937500,5.041667,4.484512,73313200
1997-12-04,5.125000,5.229167,5.031250,5.041667,4.484512,41658000
1997-12-05,5.041667,5.250000,5.031250,5.197917,4.623497,46664400
1997-12-08,5.312500,5.416667,5.218750,5.395833,4.799540,49045600
1997-12-09,3.833333,4.000000,3.729167,3.822917,3.400446,1030963200
1997-12-10,3.937500,3.979167,3.791667,3.906250,3.474571,397717600
1997-12-11,3.875000,3.906250,3.625000,3.656250,3.252199,197842000
1997-12-12,3.729167,3.828117,3.656250,3.791667,3.372650,110834800
1997-12-15,3.885417,3.906250,3.802083,3.864583,3.437509,90271200
1997-12-16,3.906250,3.927083,3.854167,3.885417,3.456040,84283200
1997-12-17,3.937500,3.958333,3.729167,3.770833,3.354120,79088400
1997-12-18,3.833333,3.833333,3.666667,3.666667,3.261464,72074800
1997-12-19,3.604167,3.697917,3.500000,3.604167,3.205870,105211600
1997-12-22,3.656250,3.791667,3.604167,3.625000,3.224402,58378000
1997-12-23,3.645833,3.645833,3.489583,3.520833,3.131747,62624400
1997-12-24,3.520833,3.562500,3.500000,3.510417,3.122482,28986000
1997-12-26,3.541667,3.572917,3.510417,3.572917,3.178074,22574400
1997-12-29,3.656250,3.666667,3.572917,3.625000,3.224402,45751200
1997-12-30,3.635417,3.729167,3.625000,3.729167,3.317056,43931200
1997-12-31,3.729167,3.750000,3.666667,3.718750,3.307792,51522000
1998-01-02,3.729167,3.906250,3.687500,3.833333,3.409713,29168800
1998-01-05,3.854167,3.916667,3.812500,3.895833,3.465306,66106800
1998-01-06,3.885417,3.895833,3.739583,3.781250,3.363385,41610000
1998-01-07,3.750000,3.750000,3.500000,3.520833,3.131747,98762400
1998-01-08,3.552083,3.583333,3.354167,3.385417,3.011295,97678800
1998-01-09,3.375000,3.375000,3.104167,3.125000,2.779657,149899600
1998-01-12,3.062500,3.125000,2.958333,3.010417,2.677737,150830400
1998-01-13,3.145833,3.208333,3.062500,3.177083,2.825984,129452800
1998-01-14,3.229167,3.312500,3.187500,3.260417,2.900108,99942400
1998-01-15,3.281250,3.291667,3.145833,3.208333,2.853781,59463600
1998-01-16,3.250000,3.302083,3.218750,3.239583,2.881577,71509600
1998-01-20,3.354167,3.375000,3.291667,3.375000,3.002029,60654400
1998-01-21,3.395833,3.416667,3.333333,3.354167,2.983498,45778800
1998-01-22,3.354167,3.364583,3.291667,3.322917,2.955702,40696000
1998-01-23,3.375000,3.375000,3.197917,3.239583,2.881577,54330000
1998-01-26,3.250000,3.250000,3.145833,3.156250,2.807453,45301200
1998-01-27,3.145833,3.197917,3.125000,3.166667,2.816719,53340000
1998-01-28,3.427083,3.583333,3.416667,3.531250,3.141012,153802000
1998-01-29,3.593750,3.812500,3.583333,3.723950,3.312417,125407200
1998-01-30,3.812500,3.979167,3.791667,3.875000,3.446775,128443600
1998-02-02,4.125000,4.145833,4.072917,4.104167,3.650616,100587600
1998-02-03,4.135417,4.145833,4.020833,4.114583,3.659882,67231200
1998-02-04,4.062500,4.125000,4.031250,4.072917,3.622820,50851600
1998-02-05,4.114583,4.208333,3.937500,3.979167,3.539430,70332000
1998-02-06,3.979167,4.500000,3.958333,4.500000,4.002706,133721200
1998-02-09,4.729167,4.789050,4.500000,4.614583,4.104626,161128800
1998-02-10,4.656250,4.656250,4.468750,4.541667,4.039767,99506800
1998-02-11,4.489583,4.562500,4.427083,4.489583,3.993439,58904400
1998-02-12,4.395833,4.500000,4.302083,4.479167,3.984174,65746800
1998-02-13,4.406250,4.458333,4.354167,4.416667,3.928583,35910400
1998-02-17,4.479167,4.500000,4.239583,4.270833,3.798865,43597200
1998-02-18,4.250000,4.364583,4.187500,4.322917,3.845192,37574400
1998-02-19,4.343750,4.354167,4.187500,4.218750,3.752536,54198400
1998-02-20,4.270833,4.270833,4.052083,4.187500,3.724741,59090800
1998-02-23,4.270833,4.406250,4.250000,4.395833,3.910050,67914000
1998-02-24,4.458333,4.468750,4.291667,4.364583,3.882254,50905200
1998-02-25,4.364583,4.385417,4.218750,4.343750,3.863722,55740000
1998-02-26,4.291667,4.312500,4.187500,4.260417,3.789598,53124400
1998-02-27,4.229167,4.239583,4.062500,4.104167,3.650616,79120000
1998-03-02,4.093750,4.114583,4.020833,4.020833,3.576491,41014800
1998-03-03,4.114583,4.364583,4.020833,4.343750,3.863722,105721600
1998-03-04,4.333333,4.458333,4.281250,4.343750,3.863722,57533200
1998-03-05,4.187500,4.322917,4.161450,4.218750,3.752536,50005600
1998-03-06,4.260417,4.500000,4.187500,4.479167,3.984174,73587600
1998-03-09,4.468750,4.513017,4.229167,4.260417,3.789598,79208800
1998-03-10,4.458333,4.520833,4.346350,4.500000,4.002706,83075200
1998-03-11,4.531250,4.677083,4.520833,4.656250,4.141690,110964400
1998-03-12,4.625000,4.708333,4.458333,4.614583,4.104626,94375200
1998-03-13,5.166667,5.166667,4.833333,4.864583,4.327000,264699600
1998-03-16,4.895833,4.989583,4.895833,4.937500,4.391857,64366800
1998-03-17,4.937500,4.947917,4.750000,4.791667,4.262139,57643200
1998-03-18,4.729167,4.927083,4.708333,4.895833,4.354796,61584000
1998-03-19,4.895833,4.906250,4.812500,4.875000,4.336265,38823600
1998-03-20,4.875000,4.875000,4.739583,4.822917,4.289938,56153200
1998-03-23,4.791667,5.020833,4.750000,5.010417,4.456717,83642400
1998-03-24,4.989583,5.104167,4.979167,5.052083,4.493777,86273200
1998-03-25,5.145833,5.166667,5.062500,5.114583,4.549372,83322400
1998-03-26,5.062500,5.252600,5.062500,5.250000,4.669824,65593600
1998-03-27,5.260417,5.291667,5.083333,5.177083,4.604965,45736000
1998-03-30,5.125000,5.229167,5.104167,5.218750,4.642026,42528000
1998-03-31,5.218750,5.281250,5.208333,5.260417,4.679090,42608400
1998-04-01,5.291667,5.312500,5.104167,5.229167,4.651292,51238800
1998-04-02,5.177083,5.197917,4.979167,5.020833,4.465983,42534400
1998-04-03,4.854167,4.885417,4.625000,4.687500,4.169483,135210400
1998-04-06,4.625000,4.656250,4.437500,4.520833,4.021238,75050800
1998-04-07,4.447917,4.531250,4.375000,4.520833,4.021238,60317200
1998-04-08,4.500000,4.583333,4.437500,4.510417,4.011970,35712000
1998-04-09,4.531250,4.541667,4.437500,4.489583,3.993439,27467200
1998-04-13,4.479167,4.770833,4.427083,4.739583,4.215812,49784400
1998-04-14,4.708333,4.812500,4.666667,4.750000,4.225079,32473600
1998-04-15,4.770833,4.781250,4.656250,4.708333,4.188017,26488000
1998-04-16,4.666667,4.687500,4.541667,4.583333,4.076830,25158400
1998-04-17,4.541667,4.604167,4.500000,4.541667,4.039767,31988800
1998-04-20,4.510417,4.635417,4.510417,4.583333,4.076830,36512400
1998-04-21,4.572917,4.593750,4.520833,4.593750,4.086096,24115200
1998-04-22,4.562500,4.614583,4.552083,4.583333,4.076830,30638800
1998-04-23,4.552083,4.562500,4.343750,4.343750,3.863722,54848800
1998-04-24,4.364583,4.500000,4.354167,4.447917,3.956378,29288400
1998-04-27,4.343750,4.406250,4.302083,4.385417,3.900785,37526800
1998-04-28,4.437500,4.500000,4.354167,4.375000,3.891519,41070400
1998-04-29,4.395833,4.416667,4.302083,4.395833,3.910050,40535200
1998-04-30,4.468750,4.479167,4.312500,4.312500,3.835926,46720000
1998-05-01,4.354167,4.364583,4.218750,4.260417,3.789598,52196400
1998-05-04,4.302083,4.437500,4.270833,4.385417,3.900785,40241200
1998-05-05,4.312500,4.354167,4.213533,4.302083,3.826662,65786400
1998-05-06,4.364583,4.414050,4.302083,4.385417,3.900785,43002000
1998-05-07,4.375000,4.406250,4.322917,4.343750,3.863722,34075200
1998-05-08,4.333333,4.479167,4.333333,4.479167,3.984174,28894000
1998-05-11,4.489583,4.500000,4.333333,4.333333,3.854456,27403200
1998-05-12,4.343750,4.364583,4.250000,4.343750,3.863722,34554000
1998-05-13,4.333333,4.375000,4.302083,4.333333,3.854456,26074000
1998-05-14,4.291667,4.427083,4.291667,4.375000,3.891519,31849200
1998-05-15,4.322917,4.354167,4.270833,4.312500,3.835926,33055600
1998-05-18,4.270833,4.333333,4.250000,4.281250,3.808129,32785600
1998-05-19,4.322917,4.354167,4.281250,4.343750,3.863722,27482800
1998-05-20,4.364583,4.375000,4.166667,4.187500,3.724741,36439200
1998-05-21,4.218750,4.250000,4.041667,4.104167,3.650616,33985600
1998-05-22,4.093750,4.104167,3.968750,4.062500,3.613554,31108000
1998-05-26,4.093750,4.104167,3.979167,4.000000,3.557961,27080400
1998-05-27,3.916667,4.031250,3.906250,3.979167,3.539430,31188000
1998-05-28,3.968750,4.104167,3.947917,4.104167,3.650616,28081200
1998-05-29,4.125000,4.156250,3.927083,3.937500,3.502367,60899200
1998-06-01,3.927083,4.010417,3.750000,3.802083,3.381916,39799200
1998-06-02,3.822917,4.093750,3.677083,4.062500,3.613554,83485200
1998-06-03,4.083333,4.104167,3.916667,3.927083,3.493102,48964000
1998-06-04,3.979167,4.156250,3.937500,4.135417,3.678412,46338400
1998-06-05,4.156250,4.416667,4.156250,4.322917,3.845192,61518400
1998-06-08,4.281250,4.364583,4.270833,4.312500,3.835926,33981600
1998-06-09,4.312500,4.395833,4.302083,4.343750,3.863722,25986000
1998-06-10,4.291667,4.343750,4.125000,4.145833,3.687678,35389200
1998-06-11,4.177083,4.177083,4.010417,4.062500,3.613554,38994400
1998-06-12,4.041667,4.218750,4.031250,4.177083,3.715475,52746000
1998-06-15,4.125000,4.250000,4.072917,4.093750,3.641351,29586400
1998-06-16,4.125000,4.145833,3.979167,4.041667,3.595022,38971600
1998-06-17,4.104167,4.265617,4.020833,4.052083,3.604289,65968000
1998-06-18,4.187500,4.239583,4.062500,4.104167,3.650616,112910800
1998-06-19,4.104167,4.125000,3.989583,4.041667,3.595022,43826800
1998-06-22,4.020833,4.093750,3.958333,4.031250,3.585757,39698400
1998-06-23,4.052083,4.166667,4.052083,4.072917,3.622820,33183600
1998-06-24,4.104167,4.208333,4.031250,4.166667,3.706209,44262400
1998-06-25,4.197917,4.229167,4.083333,4.114583,3.659882,32257200
1998-06-26,4.125000,4.135417,4.052083,4.104167,3.650616,15721600
1998-06-29,4.125000,4.145833,4.031250,4.083333,3.632085,22618000
1998-06-30,4.041667,4.135417,3.989583,4.093750,3.641351,30382800
1998-07-01,4.093750,4.093750,4.000000,4.010417,3.567226,37561200
1998-07-02,3.979167,4.000000,3.791667,3.812500,3.391181,61005600
1998-07-06,3.854167,3.864583,3.812500,3.843750,3.418978,30358800
1998-07-07,3.833333,3.843750,3.770833,3.812500,3.391181,25014000
1998-07-08,3.864583,3.937500,3.802083,3.927083,3.493102,48232800
1998-07-09,3.958333,4.135417,3.947917,4.072917,3.622820,61574800
1998-07-10,4.072917,4.187500,3.979167,4.177083,3.715475,41154400
1998-07-13,4.177083,4.291667,4.177083,4.270833,3.798865,41444800
1998-07-14,4.270833,4.343750,4.270833,4.333333,3.854456,56885200
1998-07-15,4.333333,4.562500,4.333333,4.510417,4.011970,74725200
1998-07-16,4.541667,4.645833,4.510417,4.614583,4.104626,48816400
1998-07-17,4.625000,4.625000,4.468750,4.513017,4.014285,39223600
1998-07-20,4.500000,4.687500,4.468750,4.593750,4.086096,50903200
1998-07-21,4.604167,4.750000,4.583333,4.625000,4.113893,51199200
1998-07-22,4.500000,4.510417,4.270833,4.322917,3.845192,53298400
1998-07-23,4.270833,4.281250,4.166667,4.187500,3.724741,31864000
1998-07-24,4.218750,4.239583,4.000000,4.104167,3.650616,38740800
1998-07-27,4.052083,4.458333,4.041667,4.447917,3.956378,45499600
1998-07-28,4.427083,4.510417,4.364583,4.489583,3.993439,45169200
1998-07-29,4.489583,4.500000,4.395833,4.437500,3.947112,41414800
1998-07-30,4.479167,4.489583,4.427083,4.447917,3.956378,43102000
1998-07-31,4.427083,4.541667,4.416667,4.416667,3.928583,37299600
1998-08-03,4.406250,4.489583,4.343750,4.437500,3.947112,34653600
1998-08-04,4.531250,4.541667,4.208333,4.250000,3.780334,53546800
1998-08-05,4.229167,4.270833,4.072917,4.197917,3.734007,36434400
1998-08-06,4.114583,4.281250,4.093750,4.270833,3.798865,27672400
1998-08-07,4.281250,4.281250,4.177083,4.187500,3.724741,25819200
1998-08-10,4.166667,4.218750,4.104167,4.104167,3.650616,19776400
1998-08-11,4.041667,4.104167,3.968750,4.083333,3.632085,31141600
1998-08-12,4.083333,4.270833,4.083333,4.218750,3.752536,32503600
1998-08-13,4.166667,4.239583,4.083333,4.083333,3.632085,25808400
1998-08-14,4.156250,4.166667,3.885417,3.968750,3.530164,43505200
1998-08-17,3.968750,4.010417,3.895833,3.968750,3.530164,34530400
1998-08-18,3.989583,4.031250,3.843750,3.885417,3.456040,50108800
1998-08-19,3.895833,4.104167,3.895833,4.072917,3.622820,70490800
1998-08-20,4.041667,4.125000,3.958333,4.093750,3.641351,34464400
1998-08-21,4.020833,4.177083,3.958333,4.156250,3.696943,47086800
1998-08-24,4.166667,4.197917,4.010417,4.041667,3.595022,22714800
1998-08-25,4.104167,4.104167,3.947917,4.020833,3.576491,25384800
1998-08-26,3.927083,4.062500,3.916667,3.968750,3.530164,19456800
1998-08-27,3.885417,3.906250,3.750000,3.770833,3.354120,36361600
1998-08-28,3.781250,3.802083,3.500000,3.552083,3.159543,42436800
1998-08-31,3.614583,3.666667,3.302083,3.322917,2.955702,61621600
1998-09-01,3.333333,3.458333,3.031250,3.427083,3.048357,76397200
1998-09-02,3.468750,3.500000,3.343750,3.385417,3.011295,76332400
1998-09-03,3.333333,3.447917,3.156250,3.177083,2.825984,57826000
1998-09-04,3.281250,3.468750,3.250000,3.447917,3.066888,51078000
1998-09-08,3.645833,3.656250,3.479167,3.604167,3.205870,44079600
1998-09-09,3.583333,3.770833,3.583333,3.635417,3.233668,35885200
1998-09-10,3.604167,3.697917,3.479167,3.687500,3.279995,47486800
1998-09-11,4.104167,4.270833,4.083333,4.250000,3.780334,146108400
1998-09-14,4.291667,4.427083,4.291667,4.427083,3.937849,60785200
1998-09-15,4.354167,4.520833,4.281250,4.500000,4.002706,64830400
1998-09-16,4.489583,4.593750,4.479167,4.541667,4.039767,56800800
1998-09-17,4.375000,4.510417,4.354167,4.468750,3.974910,53653600
1998-09-18,4.479167,4.552083,4.437500,4.531250,4.030503,47238400
1998-09-21,4.416667,4.687500,4.406250,4.635417,4.123157,54644400
1998-09-22,4.656250,4.802083,4.656250,4.770833,4.243610,52411200
1998-09-23,4.802083,4.822917,4.645833,4.770833,4.243610,75694000
1998-09-24,4.687500,4.802083,4.666667,4.729167,4.206548,48895200
1998-09-25,4.635417,4.833333,4.635417,4.822917,4.289938,46424800
1998-09-28,4.822917,4.895833,4.687500,4.687500,4.169483,44779200
1998-09-29,4.687500,4.916667,4.687500,4.843750,4.308467,72210000
1998-09-30,4.750000,4.916667,4.729167,4.854167,4.317734,58888000
1998-10-01,4.739583,4.812500,4.479167,4.500000,4.002706,66616800
1998-10-02,4.364583,4.416667,4.187500,4.333333,3.854456,88020400
1998-10-05,4.125000,4.166667,3.739583,3.958333,3.520900,104928000
1998-10-06,4.083333,4.083333,3.843750,3.864583,3.437509,49108000
1998-10-07,3.843750,4.104167,3.833333,4.062500,3.613554,49443600
1998-10-08,3.895833,4.041667,3.718750,3.979167,3.539430,63256800
1998-10-09,4.052083,4.270833,3.885417,4.250000,3.780334,61496400
1998-10-12,4.281250,4.322917,4.125000,4.135417,3.678412,30629200
1998-10-13,4.083333,4.270833,4.041667,4.125000,3.669146,26618400
1998-10-14,4.083333,4.385417,4.083333,4.281250,3.808129,49360800
1998-10-15,4.250000,4.500000,4.229167,4.458333,3.965643,29899600
1998-10-16,4.520833,4.572917,4.333333,4.406250,3.919316,40399600
1998-10-19,4.375000,4.661450,4.354167,4.645833,4.132424,45282400
1998-10-20,4.666667,4.697917,4.322917,4.364583,3.882254,51039600
1998-10-21,4.375000,4.562500,4.229167,4.520833,4.021238,39889600
1998-10-22,4.437500,4.656250,4.395833,4.531250,4.030503,28379200
1998-10-23,4.500000,4.614583,4.375000,4.515617,4.016596,31597200
1998-10-26,4.520833,4.666667,4.510417,4.604167,4.095362,44818800
1998-10-27,4.645833,4.666667,4.510417,4.510417,4.011970,32759200
1998-10-28,4.500000,4.708333,4.500000,4.692700,4.174110,38326800
1998-10-29,4.666667,4.812500,4.666667,4.781250,4.252876,39097600
1998-10-30,4.791667,4.958333,4.791667,4.927083,4.382593,62119600
1998-11-02,4.927083,5.000000,4.927083,4.989583,4.438187,49954000
1998-11-03,4.979167,5.000000,4.937500,4.968750,4.419655,44732400
1998-11-04,5.000000,5.125000,4.958333,5.104167,4.540106,79274800
1998-11-05,5.000000,5.322917,5.000000,5.302083,4.716151,69805600
1998-11-06,5.239583,5.333333,5.187500,5.239583,4.660558,52956000
1998-11-09,5.166667,5.302083,5.041667,5.302083,4.716151,59396400
1998-11-10,5.250000,5.291667,5.125000,5.250000,4.669824,31307200
1998-11-11,5.458333,5.666667,5.447917,5.583333,4.966321,113314000
1998-11-12,5.500000,5.541667,5.479167,5.489583,4.882929,43410400
1998-11-13,5.489583,5.552083,5.458333,5.531250,4.919993,28083600
1998-11-16,5.531250,5.583333,5.302083,5.406250,4.808806,42249600
1998-11-17,5.406250,5.645833,5.343750,5.510417,4.901462,47075200
1998-11-18,5.531250,5.614583,5.510417,5.593750,4.975585,33895200
1998-11-19,5.583333,5.625000,5.437500,5.625000,5.003383,44346400
1998-11-20,5.739583,5.833333,5.625000,5.802083,5.160895,55476400
1998-11-23,5.833333,6.166667,5.822917,6.145833,5.466659,60821200
1998-11-24,6.031250,6.104167,5.770833,5.833333,5.188694,47662800
1998-11-25,5.833333,5.864583,5.697917,5.770833,5.133100,24115600
1998-11-27,5.781250,5.989583,5.770833,5.979167,5.318412,12776400
1998-11-30,5.916667,5.937500,5.697917,5.708333,5.077507,33556800
1998-12-01,5.614583,6.166667,5.614583,6.156250,5.475925,78979600
1998-12-02,6.093750,6.145833,6.010417,6.052083,5.383269,45706000
1998-12-03,6.052083,6.093750,5.833333,5.833333,5.188694,41251200
1998-12-04,5.937500,6.104167,5.916667,6.093750,5.420329,46182400
1998-12-07,6.125000,6.166667,5.916667,6.104167,5.429596,28266000
1998-12-08,6.104167,6.125000,5.770833,5.885417,5.235020,39116400
1998-12-09,5.947917,6.104167,5.822917,6.104167,5.429596,39831600
1998-12-10,6.104167,6.208333,5.802083,5.822917,5.179426,64810000
1998-12-11,6.197917,6.304683,6.010417,6.208333,5.522252,124789200
1998-12-14,6.302083,6.385417,6.177083,6.187500,5.503721,76788400
1998-12-15,6.343750,6.604167,6.197917,6.593750,5.865076,69344400
1998-12-16,6.656250,6.656250,6.354167,6.437500,5.726094,57210400
1998-12-17,6.458333,6.562500,6.416667,6.531250,5.809483,38235600
1998-12-18,6.500000,6.593750,6.416667,6.552083,5.828013,53547600
1998-12-21,6.614583,6.656250,6.437500,6.510417,5.790951,48190000
1998-12-22,6.510417,6.697917,6.416667,6.656250,5.920670,50949600
1998-12-23,6.760417,7.020833,6.750000,6.947917,6.180104,74973600
1998-12-24,6.958333,6.979167,6.854167,6.864583,6.105980,10801600
1998-12-28,6.937500,7.395833,6.864583,7.312500,6.504397,58003200
1998-12-29,7.375000,7.479167,7.281250,7.416667,6.597052,37177200
1998-12-30,7.364583,7.479167,7.250000,7.291667,6.485867,33391600
1998-12-31,7.281250,7.395833,7.166667,7.187500,6.393211,20972400
1999-01-04,7.270833,7.406250,7.062500,7.166667,6.374679,43098000
1999-01-05,7.041667,7.395833,6.927083,7.385417,6.569256,67004400
1999-01-06,7.437500,7.833333,7.385417,7.729167,6.875018,75255600
1999-01-07,7.541667,7.854167,7.541667,7.604167,6.763831,48528000
1999-01-08,7.645833,7.739583,7.500000,7.708333,6.856488,50915200
1999-01-11,7.916667,8.010417,7.791667,7.864583,6.995469,55628400
1999-01-12,7.979167,8.000000,7.520833,7.656250,6.810159,43664400
1999-01-13,7.489583,7.791667,7.270833,7.625000,6.782362,63853600
1999-01-14,7.687500,7.687500,7.291667,7.437500,6.615584,59686000
1999-01-15,7.541667,7.885417,7.427083,7.854167,6.986204,69376800
1999-01-19,8.395833,8.677083,8.216133,8.614583,7.662584,95794800
1999-01-20,8.916667,8.979167,8.479167,8.479167,7.542137,81503200
1999-01-21,8.458333,8.677083,8.020833,8.114583,7.217844,92054800
1999-01-22,7.895833,8.677083,7.875000,8.312500,7.393887,61857600
1999-01-25,8.406250,8.666667,8.291667,8.510417,7.569931,32653200
1999-01-26,8.638017,8.822917,8.552083,8.812500,7.838632,40450000
1999-01-27,8.854167,8.947917,8.500000,8.500000,7.560667,54046000
1999-01-28,8.666667,9.052083,8.656250,8.947917,7.959086,55992000
1999-01-29,9.083333,9.354167,9.020833,9.229167,8.209252,68132400
1999-02-01,9.708333,10.062500,9.583333,9.854167,8.765186,88941600
1999-02-02,10.145833,10.291667,9.520833,9.802083,8.718855,105376800
1999-02-03,9.854167,10.135417,9.770833,10.125000,9.006085,56942400
1999-02-04,10.208333,10.229167,9.708333,9.718750,8.644734,49136800
1999-02-05,9.718750,9.750000,9.260417,9.364583,8.329704,81045600
1999-02-08,9.541667,9.822917,9.479167,9.562500,8.505753,56399200
1999-02-09,9.614583,9.645833,8.958333,9.104167,8.098065,52063600
1999-02-10,9.187500,9.375000,8.739583,8.947917,7.959086,74451600
1999-02-11,9.072917,9.947917,9.000000,9.927083,8.830042,77552400
1999-02-12,9.666667,9.750000,9.343750,9.447917,8.403828,65795200
1999-02-16,9.687500,9.770833,8.781250,8.906250,7.922021,61094400
1999-02-17,8.812500,9.437500,8.375000,8.541667,7.597730,84750400
1999-02-18,8.666667,8.781250,8.250000,8.468750,7.532871,94698400
1999-02-19,8.572917,9.041667,8.479167,9.031250,8.033207,51931200
1999-02-22,9.156250,9.187500,8.947917,9.093750,8.088801,59874400
1999-02-23,9.197917,9.770833,9.145833,9.750000,8.672530,60813600
1999-02-24,9.822917,9.833333,9.260417,9.281250,8.255583,45501600
1999-02-25,9.250000,9.822917,9.083333,9.666667,8.598407,87832800
1999-02-26,9.614583,9.614583,9.114583,9.312500,8.283381,55968000
1999-03-01,9.359375,9.515625,8.953125,9.156250,8.144392,46918400
1999-03-02,9.296875,9.453125,8.734375,8.828125,7.852531,41852800
1999-03-03,8.937500,8.984375,8.093750,8.750000,7.783039,67898400
1999-03-04,8.828125,9.296875,8.781250,9.093750,8.088801,53987600
1999-03-05,9.359375,9.531250,9.203125,9.359375,8.325075,30049200
1999-03-08,9.515625,9.671875,9.125000,9.578125,8.519649,79701600
1999-03-09,9.453125,9.906250,9.375000,9.687500,8.616935,60371200
1999-03-10,9.906250,9.906250,9.234375,9.484375,8.436256,101269600
1999-03-11,9.625000,9.625000,8.718750,9.218750,8.199986,96672400
1999-03-12,7.531250,7.625000,7.000000,7.140625,6.351516,403753600
1999-03-15,7.351550,7.531250,7.250000,7.500000,6.671176,120536000
1999-03-16,7.593750,7.625000,7.359375,7.453125,6.629482,80118000
1999-03-17,7.500000,7.500000,7.265625,7.265625,6.462703,47204000
1999-03-18,7.296875,7.468750,7.250000,7.421875,6.601685,52340400
1999-03-19,7.500000,7.500000,6.859375,6.890625,6.129144,112506800
1999-03-22,7.031250,7.140625,6.781250,6.796875,6.045753,48056800
1999-03-23,6.796875,6.812500,6.500000,6.515625,5.795586,59231200
1999-03-24,6.562500,6.578125,6.453125,6.484375,5.767788,57314400
1999-03-25,6.687500,6.781250,6.531250,6.671875,5.934567,61482800
1999-03-26,6.734375,7.031250,6.562500,6.875000,6.115245,48299600
1999-03-29,7.062500,7.140625,6.875000,7.125000,6.337618,46350400
1999-03-30,7.109375,7.187500,6.718750,6.718750,5.976262,38966400
1999-03-31,6.937500,7.015625,6.562500,6.593750,5.865076,62015200
1999-04-01,6.718750,6.750000,6.406250,6.453125,5.739992,73686400
1999-04-05,6.656250,6.671875,6.250000,6.328125,5.628805,82389200
1999-04-06,6.343750,6.375000,5.875000,5.921875,5.267450,99907600
1999-04-07,6.015625,6.062500,5.250000,5.359375,4.767111,194831200
1999-04-08,5.437500,5.875000,5.359375,5.828125,5.184059,137565600
1999-04-09,6.156250,6.500000,5.906250,6.468750,5.753890,152150000
1999-04-12,6.343750,6.625000,6.250000,6.250000,5.559314,90573200
1999-04-13,6.390625,6.406250,5.859375,5.906250,5.253552,86128000
1999-04-14,6.109375,6.359375,5.984375,6.031250,5.364737,62267600
1999-04-15,6.218750,6.406250,6.125000,6.218750,5.531517,62860800
1999-04-16,6.296875,6.296875,6.109375,6.125000,5.448126,50318000
1999-04-19,6.234375,6.250000,5.843750,5.843750,5.197959,70212800
1999-04-20,5.812500,6.031250,5.718750,5.812500,5.170162,89227200
1999-04-21,5.925775,6.062500,5.812500,6.031250,5.364737,60174000
1999-04-22,6.218750,6.515625,6.062500,6.453125,5.739992,64498800
1999-04-23,6.468750,6.921875,6.437500,6.835925,6.080489,71249600
1999-04-26,6.968750,7.312500,6.937500,7.171875,6.379311,70492400
1999-04-27,7.281250,7.281250,6.843750,7.015625,6.240328,52992800
1999-04-28,7.000000,7.062500,6.656250,6.828125,6.073550,40228400
1999-04-29,6.843750,6.921875,6.687500,6.812500,6.059652,38068800
1999-04-30,6.937500,7.078125,6.593750,6.765625,6.017958,39295200
1999-05-03,6.703125,6.703125,6.375000,6.515625,5.795586,77500000
1999-05-04,6.406250,6.421875,6.218750,6.296875,5.601008,77888800
1999-05-05,6.281250,6.281250,6.031250,6.250000,5.559314,84511600
1999-05-06,6.234375,6.343750,6.015625,6.046875,5.378637,56171600
1999-05-07,6.093750,6.265625,5.910150,6.125000,5.448126,58082000
1999-05-10,6.156250,6.171875,5.968750,6.093750,5.420329,62537600
1999-05-11,6.187500,6.484375,6.058575,6.203125,5.517620,83342000
1999-05-12,6.281250,6.562500,6.031250,6.328125,5.628805,100062800
1999-05-13,5.968750,6.375000,5.734375,5.750000,5.114568,229328400
1999-05-14,5.906250,6.156250,5.843750,5.968750,5.309144,159232400
1999-05-17,6.078125,6.250000,5.953125,6.125000,5.448126,55369200
1999-05-18,6.218750,6.250000,6.125000,6.203125,5.517620,42034400
1999-05-19,6.281250,6.625000,6.250000,6.593750,5.865076,68676000
1999-05-20,6.671875,6.750000,6.328125,6.328125,5.628805,82693200
1999-05-21,6.312500,6.703125,6.281250,6.437500,5.726094,47640000
1999-05-24,6.546875,6.609375,6.140625,6.187500,5.503721,51160400
1999-05-25,6.296875,6.343750,6.000000,6.000000,5.336940,49319600
1999-05-26,5.906250,6.000000,5.640625,5.859375,5.211857,91702000
1999-05-27,5.875000,6.046875,5.734375,5.890625,5.239653,51938000
1999-05-28,5.953125,6.218750,5.921875,6.203125,5.517620,37284800
1999-06-01,6.234375,6.500000,6.218750,6.375000,5.670500,59201600
1999-06-02,6.343750,6.562500,6.296875,6.546875,5.823381,52914800
1999-06-03,6.640625,6.890625,6.625000,6.875000,6.115245,97686000
1999-06-04,6.937500,7.203125,6.875000,7.171875,6.379311,95625600
1999-06-07,7.218750,7.250000,7.031250,7.125000,6.337618,54590800
1999-06-08,7.046875,7.062500,6.687500,6.781250,6.031855,47042400
1999-06-09,6.812500,6.828125,6.562500,6.671875,5.934567,43354000
1999-06-10,6.593750,6.609375,6.375000,6.515625,5.795586,50374000
1999-06-11,6.500000,6.562500,6.250000,6.328125,5.628805,55334800
1999-06-14,6.406250,6.656250,6.375000,6.609375,5.878975,68968000
1999-06-15,6.687500,6.890625,6.234375,6.281250,5.587111,114050800
1999-06-16,8.171875,8.343750,7.812500,8.234375,7.324397,405908000
1999-06-17,7.937500,8.750000,7.937500,8.718750,7.755242,202552400
1999-06-18,8.312500,8.984375,8.296875,8.765625,7.796936,124886400
1999-06-21,8.687500,8.843750,8.515625,8.531250,7.588464,62167600
1999-06-22,8.343750,8.687500,8.250000,8.531250,7.588464,62997600
1999-06-23,8.390625,8.796875,8.375000,8.781250,7.810836,75558800
1999-06-24,8.734375,9.062500,8.734375,8.921875,7.935921,85113600
1999-06-25,8.968750,9.058575,8.828125,8.937500,7.949819,34084800
1999-06-28,8.937500,9.187500,8.937500,9.171875,8.158294,43406000
1999-06-29,9.109375,9.281250,9.031250,9.281250,8.255583,45924000
1999-06-30,9.187500,9.328125,9.015625,9.281250,8.255583,47386800
1999-07-01,9.218750,9.500000,9.093750,9.437500,8.394565,48526800
1999-07-02,9.421875,9.656250,9.390625,9.609375,8.547444,41040800
1999-07-06,9.562500,9.750000,9.484375,9.671875,8.603035,47408000
1999-07-07,9.578125,9.703125,9.531250,9.671875,8.603035,43384000
1999-07-08,9.546875,9.781250,9.531250,9.734375,8.658633,41420800
1999-07-09,9.750000,9.828125,9.593750,9.828125,8.742019,40340000
1999-07-12,9.718750,9.765625,9.625000,9.718750,8.644734,42054000
1999-07-13,9.562500,9.750000,9.562500,9.671875,8.603035,57056800
1999-07-14,9.703125,9.718750,9.421875,9.515625,8.464055,63491200
1999-07-15,9.453125,9.796875,9.437500,9.750000,8.672530,66302000
1999-07-16,9.812500,9.953125,9.781250,9.937500,8.839310,60138000
1999-07-19,9.906250,9.937500,9.796875,9.875000,8.783714,41648000
1999-07-20,9.781250,9.781250,9.234375,9.375000,8.338965,57625200
1999-07-21,9.359375,9.578125,9.296875,9.531250,8.477953,31700400
1999-07-22,9.484375,9.484375,8.812500,9.062500,8.061006,44054800
1999-07-23,9.078125,9.203125,8.843750,9.046875,8.047108,27679600
1999-07-26,8.859375,9.093750,8.703125,8.750000,7.783039,29542000
1999-07-27,8.890625,9.390625,8.820300,9.265625,8.241685,46239200
1999-07-28,9.250000,9.546875,9.062500,9.421875,8.380664,33699200
1999-07-29,9.234375,9.593750,9.203125,9.515625,8.464055,46836800
1999-07-30,9.484375,9.609375,9.390625,9.515625,8.464055,29497200
1999-08-02,9.453125,9.750000,9.390625,9.531250,8.477953,32924400
1999-08-03,9.546875,9.609375,8.984375,9.281250,8.255583,44406800
1999-08-04,9.218750,9.390625,9.125000,9.187500,8.172193,34460400
1999-08-05,9.093750,9.390625,8.890625,9.281250,8.255583,42011600
1999-08-06,9.109375,9.296875,9.093750,9.125000,8.116593,18963200
1999-08-09,9.109375,9.312500,9.031250,9.093750,8.088801,17804800
1999-08-10,9.125000,9.125000,8.765625,9.000000,8.005412,24823200
1999-08-11,9.156250,9.187500,8.875000,9.187500,8.172193,24944400
1999-08-12,9.093750,9.234375,8.843750,8.875000,7.894225,29526000
1999-08-13,9.109375,9.703125,9.062500,9.656250,8.589142,48884000
1999-08-16,9.562500,9.875000,9.390625,9.828125,8.742019,47812800
1999-08-17,9.859375,9.937500,9.156250,9.328125,8.297276,46906000
1999-08-18,8.875000,9.000000,8.671875,8.859375,7.880326,104588800
1999-08-19,8.796875,9.156250,8.765625,9.000000,8.005412,37891200
1999-08-20,9.078125,9.250000,8.984375,9.250000,8.227786,22706000
1999-08-23,9.359375,9.421875,9.234375,9.390625,8.352869,26333200
1999-08-24,9.281250,9.609375,9.187500,9.234375,8.213882,35510400
1999-08-25,9.281250,9.328125,9.171875,9.234375,8.213882,28866400
1999-08-26,9.234375,9.500000,9.234375,9.281250,8.255583,28053600
1999-08-27,9.265625,9.343750,9.015625,9.250000,8.227786,23192400
1999-08-30,9.234375,9.265625,9.062500,9.125000,8.116593,17385200
1999-08-31,9.125000,9.140625,8.859375,9.125000,8.116593,24392400
1999-09-01,9.156250,9.546875,9.140625,9.421875,8.380664,39725600
1999-09-02,9.312500,9.718750,9.281250,9.609375,8.547444,48401600
1999-09-03,9.718750,10.406250,9.718750,10.375000,9.228463,102798800
1999-09-07,10.375000,11.203125,10.304675,10.953125,9.742697,97488400
1999-09-08,10.843750,11.203125,10.765625,11.078125,9.853882,71019200
1999-09-09,11.062500,11.125000,10.781250,11.015625,9.798288,51350000
1999-09-10,11.125000,11.734375,11.062500,11.593750,10.312529,64388000
1999-09-13,11.609375,11.671875,11.125000,11.437500,10.173543,59682800
1999-09-14,11.500000,11.609375,10.921875,11.359375,10.104052,80645200
1999-09-15,10.031250,10.859375,9.968750,10.671875,9.492529,256649600
1999-09-16,10.671875,10.742175,10.421875,10.546875,9.381341,61758400
1999-09-17,10.593750,10.937500,10.585925,10.890625,9.687106,64400000
1999-09-20,10.937500,11.375000,10.843750,11.281250,10.034560,42020800
1999-09-21,11.203125,11.500000,10.968750,11.125000,9.895579,53644800
1999-09-22,11.125000,11.437500,10.968750,11.421875,10.159647,38004800
1999-09-23,11.437500,11.531250,10.750000,10.875000,9.673204,40246000
1999-09-24,10.750000,10.890625,10.265625,10.546875,9.381341,50765600
1999-09-27,10.796875,10.906250,10.546875,10.578125,9.409139,41769600
1999-09-28,10.500000,10.750000,10.296875,10.718750,9.534222,37798400
1999-09-29,10.687500,11.265625,10.687500,10.828125,9.631512,45801600
1999-09-30,10.843750,11.468750,10.625000,11.375000,10.117955,58577200
1999-10-01,11.171875,11.468750,11.109375,11.312500,10.062361,34570800
1999-10-04,11.359375,11.656250,11.265625,11.625000,10.340323,40801600
1999-10-05,11.671875,11.718750,11.375000,11.562500,10.284732,46292000
1999-10-06,11.609375,11.687500,11.421875,11.468750,10.201341,31310000
1999-10-07,11.296875,11.359375,11.093750,11.171875,9.937273,38359600
1999-10-08,11.156250,11.406250,10.843750,11.312500,10.062361,28551200
1999-10-11,11.265625,11.687500,11.234375,11.515625,10.243034,25299600
1999-10-12,11.484375,11.953125,11.468750,11.750000,10.451510,45535600
1999-10-13,11.546875,12.031250,11.531250,11.859375,10.548799,57057200
1999-10-14,11.843750,11.875000,11.531250,11.695300,10.402855,47554400
1999-10-15,11.578125,11.625000,11.187500,11.250000,10.006766,56845600
1999-10-18,11.218750,11.265625,10.671875,10.968750,9.756595,47037600
1999-10-19,11.156250,11.203125,10.765625,10.953125,9.742697,39418800
1999-10-20,11.109375,11.203125,10.984375,11.187500,9.951171,45197200
1999-10-21,10.546875,11.437500,10.500000,11.296875,10.048458,55295200
1999-10-22,11.343750,11.484375,10.890625,11.031250,9.812190,40710400
1999-10-25,10.906250,11.078125,10.781250,10.828125,9.631512,41902800
1999-10-26,10.875000,10.968750,10.687500,10.859375,9.659307,42569200
1999-10-27,10.867175,11.265625,10.812500,11.203125,9.965072,39112800
1999-10-28,11.328125,11.484375,10.937500,11.468750,10.201341,39646400
1999-10-29,11.515625,12.187500,11.500000,11.890625,10.576593,53908400
1999-11-01,12.031250,13.109375,11.968750,12.796875,11.382694,90335200
1999-11-02,12.843750,13.468750,12.843750,13.250000,11.785744,83764800
1999-11-03,13.843750,14.437500,13.750000,14.328125,12.744729,87264000
1999-11-04,14.546875,14.750000,14.406250,14.546875,12.939302,83700800
1999-11-05,14.937500,15.343750,14.625000,14.671875,13.050488,84155600
1999-11-08,14.906250,15.171875,14.703125,14.859375,13.217269,54326400
1999-11-09,14.968750,14.968750,14.437500,14.609375,12.994895,55569200
1999-11-10,14.546875,15.000000,14.359375,14.718750,13.092187,50972000
1999-11-11,14.906250,15.718750,14.875000,15.515625,13.800999,47960400
1999-11-12,15.812500,16.687500,15.437500,16.281250,14.482009,69733600
1999-11-15,16.359375,16.562500,16.000000,16.015625,14.245741,42568400
1999-11-16,16.078125,16.359375,16.000000,16.125000,14.343029,58097600
1999-11-17,17.437500,18.093750,17.156250,17.750000,15.788449,100242400
1999-11-18,17.937500,18.671875,17.265625,18.546875,16.497272,64814800
1999-11-19,18.531250,19.546875,18.343750,19.031250,16.928110,60086000
1999-11-22,18.921875,19.468750,18.718750,19.359375,17.219973,40570400
1999-11-23,19.468750,19.468750,18.296875,18.375000,16.344385,64967600
1999-11-24,18.234375,18.234375,17.187500,17.953125,15.969131,73022400
1999-11-26,17.750000,18.468750,17.703125,18.406250,16.372179,18470000
1999-11-29,18.203125,18.750000,17.765625,18.140625,16.135906,35636400
1999-11-30,18.171875,18.187500,16.808575,16.953125,15.079640,63926800
1999-12-01,17.109375,17.703125,16.875000,17.671875,15.718959,40256400
1999-12-02,17.734375,19.000000,17.718750,18.984375,16.886414,49338400
1999-12-03,19.406250,20.453125,19.250000,19.671875,17.497940,74702800
1999-12-06,19.687500,19.968750,19.390625,19.609375,17.442347,38683200
1999-12-07,19.578125,20.031250,19.078125,19.812500,17.623026,51888800
1999-12-08,19.625000,19.750000,18.968750,19.031250,16.928110,42925600
1999-12-09,19.265625,19.859375,19.250000,19.640625,17.470144,66600400
1999-12-10,19.875000,21.187500,19.359375,21.156250,18.818277,49635600
1999-12-13,21.000000,21.015625,19.890625,19.953125,17.748112,60372000
1999-12-14,20.156250,20.781250,19.093750,19.234375,17.108788,75655200
1999-12-15,21.312500,22.859375,20.718750,22.593750,20.096916,148169600
1999-12-16,22.406250,22.656250,21.843750,22.390625,19.916243,59600000
1999-12-17,23.000000,23.703125,22.566401,22.671875,20.166407,81975200
1999-12-20,23.593750,24.562500,23.562500,24.078125,21.417263,70350400
1999-12-21,24.328125,24.843750,23.781250,24.421875,21.723021,60357200
1999-12-22,24.953125,26.343750,24.750000,26.265625,23.363016,54652800
1999-12-23,26.437500,27.625000,26.312500,26.671875,23.724369,56016000
1999-12-27,27.156250,27.171875,25.531250,26.093750,23.210135,38805600
1999-12-28,26.015625,27.140625,25.500000,26.531250,23.599285,34231600
1999-12-29,26.421875,27.546875,26.406250,27.500000,24.460979,22750000
1999-12-30,27.984375,28.234375,27.203125,27.843750,24.766745,27397600
1999-12-31,27.843750,28.343750,27.703125,28.015625,24.919622,10714800
2000-01-03,31.156250,31.296875,27.906250,29.531250,26.267759,98114800
2000-01-04,28.875000,29.656250,26.250000,26.921875,23.946749,116824800
2000-01-05,25.406250,26.593750,24.000000,25.500000,22.681999,166054000
2000-01-06,25.039049,26.250000,23.671875,24.000000,21.347761,109880000
2000-01-07,23.750000,25.875000,23.390625,25.843750,22.987759,91755600
2000-01-10,27.000000,29.000000,26.375000,28.937500,25.739622,91518000
2000-01-11,28.156250,28.687500,27.375000,28.093750,24.989111,86585200
2000-01-12,28.062500,28.062500,25.921875,26.406250,23.488100,83443600
2000-01-13,27.125000,27.468750,25.875000,26.265625,23.363016,55779200
2000-01-14,27.250000,27.843750,26.187500,26.703125,23.752163,57078000
2000-01-18,26.968750,28.625000,26.406250,27.812500,24.738943,66780000
2000-01-19,28.062500,29.125000,27.000000,28.562500,25.406065,49198400
2000-01-20,29.500000,30.125000,29.062500,29.625000,26.351145,54526800
2000-01-21,30.750000,30.750000,29.500000,29.843750,26.545721,50891000
2000-01-24,30.125000,30.187500,27.000000,27.093750,24.099627,50022400
2000-01-25,27.531250,28.750000,27.437500,28.218750,25.100300,53059200
2000-01-26,28.375000,29.468750,27.500000,27.531250,24.488775,47569200
2000-01-27,27.906250,28.343750,25.000000,25.906250,23.043356,61054000
2000-01-28,25.750000,25.968750,23.312500,23.687500,21.069799,86394000
2000-01-31,23.968750,25.062500,23.531250,24.976549,22.216394,68148000
2000-02-01,25.625000,27.156250,25.000000,27.000000,24.016233,57105600
2000-02-02,27.468750,28.000000,27.000000,27.156250,24.155216,63933000
2000-02-03,27.687500,28.500000,27.125000,28.343750,25.211485,55533200
2000-02-04,28.812500,29.125000,28.406250,28.906250,25.711823,40916000
2000-02-07,29.656250,30.000000,29.437500,29.968750,26.656906,44691200
2000-02-08,30.375000,30.718750,29.500000,29.781250,26.490126,55718000
2000-02-09,30.031250,30.656250,29.406250,29.968750,26.656906,52471600
2000-02-10,30.000000,31.312500,29.000000,31.156250,27.713177,45288600
2000-02-11,31.250000,32.375000,29.375000,29.843750,26.545721,55774000
2000-02-14,30.437500,31.125000,29.312500,31.093750,27.657583,37599800
2000-02-15,30.812500,31.593750,29.562500,30.687500,27.296230,47971400
2000-02-16,30.500000,31.281250,30.062500,30.625000,27.240635,33489200
2000-02-17,30.875000,31.375000,30.000000,30.812500,27.407425,40392600
2000-02-18,30.843750,31.000000,29.187500,29.281250,26.045383,63888400
2000-02-22,29.562500,30.718750,28.156250,29.656250,26.378944,75546200
2000-02-23,30.093750,31.632799,29.812500,31.531250,28.046734,69664400
2000-02-24,31.593750,32.531250,30.125000,30.968750,27.546400,70963200
2000-02-25,30.937500,35.500000,30.937500,35.312500,31.410124,103186600
2000-02-28,35.625000,38.250000,34.125000,34.312500,30.520636,122316600
2000-02-29,36.687500,37.218750,35.562500,37.125000,33.022331,55586400
2000-03-01,36.875000,37.250000,35.375000,35.750000,31.799276,44934400
2000-03-02,36.750000,36.781250,33.937500,34.250000,30.465029,52311000
2000-03-03,35.562500,37.562500,35.085899,37.500000,33.355862,47974400
2000-03-06,37.406250,38.468750,36.187500,37.875000,33.689434,45520600
2000-03-07,38.312500,40.000000,37.187500,37.468750,33.328098,53982200
2000-03-08,38.687500,41.781250,37.500000,41.562500,36.969437,62781200
2000-03-09,42.156250,42.500000,40.062500,42.000000,37.358589,56476400
2000-03-10,42.000000,42.031250,40.125000,40.812500,36.302330,44699800
2000-03-13,39.250000,41.812500,38.398399,39.375000,35.023670,65803200
2000-03-14,40.937500,41.875000,38.250000,38.500000,34.245380,72364000
2000-03-15,42.000000,42.500000,38.500000,39.312500,34.968075,144810400
2000-03-16,40.343750,41.281250,38.343750,40.968750,36.441299,95532400
2000-03-17,40.875000,41.000000,39.750000,39.906250,35.496223,66055200
2000-03-20,40.250000,40.312500,38.781250,39.062500,34.745701,47183600
2000-03-21,38.937500,40.437500,38.000000,40.343750,35.885372,52621400
2000-03-22,40.500000,42.187500,39.437500,42.031250,37.386383,53197600
2000-03-23,41.562500,44.000000,41.281250,43.437500,38.637226,50803800
2000-03-24,43.406250,44.843750,43.218750,43.500000,38.692818,52821600
2000-03-27,44.531250,44.656250,43.468750,44.218750,39.332153,32597200
2000-03-28,43.812500,45.000000,42.750000,43.281250,38.498257,36039200
2000-03-29,43.031250,43.062500,41.031250,41.250000,36.691471,51966200
2000-03-30,39.250000,42.250000,39.000000,39.218750,34.884693,70986000
2000-03-31,40.093750,40.781250,38.000000,39.031250,34.717915,79842000
2000-04-03,39.312500,40.312500,37.500000,38.437500,34.189777,71598000
2000-04-04,39.062500,39.062500,32.539051,37.968750,33.772827,123633800
2000-04-05,36.625000,40.500000,36.273399,39.125000,34.801300,73736800
2000-04-06,40.312500,41.718750,40.062500,41.093750,36.552486,62408200
2000-04-07,41.843750,43.625000,41.500000,43.562500,38.748425,46764600
2000-04-10,43.750000,43.812500,41.125000,41.250000,36.691471,56241200
2000-04-11,40.093750,40.812500,38.406250,38.687500,34.412140,70983800
2000-04-12,38.968750,40.000000,36.468750,36.562500,32.521992,67133000
2000-04-13,37.437500,38.750000,35.875000,35.968750,31.993855,63206800
2000-04-14,34.960899,35.640598,30.125000,31.250000,27.796566,109951400
2000-04-17,30.250000,37.437500,30.085899,37.406250,33.272488,115304800
2000-04-18,37.781250,39.531250,36.875000,39.468750,35.107071,78738800
2000-04-19,39.312500,39.781250,37.125000,37.281250,33.161301,46184200
2000-04-20,36.906250,37.750000,34.937500,35.406250,31.493519,50397800
2000-04-24,33.687500,36.343750,33.500000,36.218750,32.216217,59725600
2000-04-25,37.437500,38.187500,36.312500,37.781250,33.606045,61764200
2000-04-26,38.062500,38.906250,35.531250,36.093750,32.105045,47788800
2000-04-27,35.031250,38.781250,34.968750,38.656250,34.384346,52101000
2000-04-28,39.250000,40.000000,39.062500,39.968750,35.551811,41696600
2000-05-01,39.937500,40.937500,39.375000,39.843750,35.440620,37093400
2000-05-02,39.468750,39.750000,38.687500,38.906250,34.606728,35341000
2000-05-03,38.437500,38.562500,36.062500,37.906250,33.717239,49603200
2000-05-04,37.656250,38.468750,36.500000,37.125000,33.022331,39899800
2000-05-05,37.000000,38.500000,36.875000,38.406250,34.161987,35289600
2000-05-08,37.656250,38.000000,36.031250,36.156250,32.160625,36528400
2000-05-09,36.843750,37.125000,35.625000,36.000000,32.021648,43535200
2000-05-10,35.468750,36.562500,33.750000,33.812500,30.075888,71169800
2000-05-11,34.468750,36.187500,34.000000,36.187500,32.188431,46590200
2000-05-12,36.656250,38.218750,36.531250,37.093750,32.994545,39038200
2000-05-15,37.218750,38.500000,35.312500,38.500000,34.245380,41971800
2000-05-16,38.812500,39.875000,38.531250,39.593750,35.218258,38261400
2000-05-17,38.875000,39.937500,38.125000,39.093750,34.773506,33993600
2000-05-18,39.156250,39.375000,36.218750,36.531250,32.494194,46444600
2000-05-19,36.000000,37.000000,34.750000,35.031250,31.159950,52228800
2000-05-22,35.031250,35.125000,31.375000,33.906250,30.159281,91156000
2000-05-23,33.500000,34.250000,31.187500,31.312500,27.852161,58574000
2000-05-24,30.882799,32.250000,29.062500,32.125000,28.574875,85195200
2000-05-25,32.750000,35.406250,32.500000,33.218750,29.547756,80958000
2000-05-26,33.406250,34.750000,32.531250,33.500000,29.797928,28903800
2000-05-30,34.437500,37.093750,34.281250,37.093750,32.994545,38933000
2000-05-31,36.625000,38.218750,35.875000,35.937500,31.966059,50939800
2000-06-01,36.968750,38.937500,36.750000,38.937500,34.634533,53401000
2000-06-02,40.250000,40.750000,39.250000,40.093750,35.663002,57964800
2000-06-05,39.625000,41.000000,39.500000,40.468750,35.996559,38507200
2000-06-06,40.250000,40.750000,38.125000,38.531250,34.273178,40020000
2000-06-07,38.375000,40.125000,37.781250,40.000000,35.579617,34080800
2000-06-08,40.937500,41.375000,40.125000,41.187500,36.635876,46768600
2000-06-09,41.437500,41.875000,40.937500,41.343750,36.774857,32975200
2000-06-12,41.281250,41.406250,40.187500,40.281250,35.829773,24206000
2000-06-13,39.992149,40.875000,39.031250,40.843750,36.330101,37229400
2000-06-14,40.937500,41.000000,39.375000,39.500000,35.134857,33191800
2000-06-15,39.625000,41.312500,39.562500,41.250000,36.691471,36786800
2000-06-16,40.937500,41.875000,40.531250,40.937500,36.413494,41904400
2000-06-19,41.031250,43.031250,40.625000,43.000000,38.248077,51077200
2000-06-20,43.468750,43.812500,42.250000,43.023399,38.268883,57192600
2000-06-21,40.406250,43.687500,40.156250,43.093750,38.331463,108053800
2000-06-22,42.312500,42.625000,40.687500,40.750000,36.246731,42105600
2000-06-23,40.406250,40.742149,39.281250,39.750000,35.357239,40643000
2000-06-26,40.125000,41.718750,39.625000,41.343750,36.774857,38942400
2000-06-27,41.187500,41.968750,40.843750,41.125000,36.580284,28581600
2000-06-28,41.031250,42.500000,40.843750,41.468750,36.886051,32104800
2000-06-29,41.031250,41.562500,39.781250,40.437500,35.968750,35751800
2000-06-30,40.187500,42.250000,40.000000,42.031250,37.386383,38093000
2000-07-03,40.562500,40.875000,39.437500,40.093750,35.663002,42136200
2000-07-05,38.406250,38.812500,36.093750,36.156250,32.160625,94634200
2000-07-06,35.875000,37.937500,35.875000,37.812500,33.633850,50533000
2000-07-07,37.968750,38.500000,37.750000,37.937500,33.745026,31480200
2000-07-10,37.312500,37.750000,36.437500,37.062500,32.966740,43957600
2000-07-11,36.812500,37.625000,35.562500,36.156250,32.160625,42121400
2000-07-12,36.718750,37.562500,36.500000,37.343750,33.216896,34368400
2000-07-13,37.875000,38.312500,37.375000,37.875000,33.689434,41625400
2000-07-14,38.093750,38.250000,37.562500,38.062500,33.856220,31712000
2000-07-17,37.656250,39.000000,37.031250,38.062500,33.856220,32388800
2000-07-18,37.843750,38.312500,37.031250,37.093750,32.994545,29967000
2000-07-19,37.500000,37.968750,36.500000,36.875000,32.799942,31558600
2000-07-20,37.406250,39.500000,37.375000,39.062500,34.745701,35382000
2000-07-21,38.718750,38.843750,37.531250,37.718750,33.550453,30925000
2000-07-24,38.562500,39.312500,37.468750,37.500000,33.355862,38060200
2000-07-25,37.937500,38.250000,37.156250,38.000000,33.800629,27118200
2000-07-26,37.406250,39.000000,37.031250,38.375000,34.134186,31826400
2000-07-27,37.968750,39.000000,37.500000,37.531250,33.383682,32539000
2000-07-28,37.562500,38.218750,35.531250,36.187500,32.188431,33203400
2000-07-31,35.875000,37.750000,35.687500,37.593750,33.439270,34406400
2000-08-01,37.593750,37.937500,36.437500,36.562500,32.521992,30190800
2000-08-02,36.500000,37.625000,36.187500,36.562500,32.521992,30315000
2000-08-03,36.406250,38.750000,35.812500,38.718750,34.439945,44941200
2000-08-04,39.156250,41.156250,39.062500,40.781250,36.274521,73211600
2000-08-07,40.437500,41.187500,40.375000,40.937500,36.413494,40751400
2000-08-08,40.500000,41.625000,40.406250,41.500000,36.913853,34931800
2000-08-09,41.750000,42.140598,40.593750,40.687500,36.191139,30846000
2000-08-10,40.718750,41.187500,40.000000,40.031250,35.607403,24436000
2000-08-11,39.968750,40.968750,39.625000,40.562500,36.079948,22106800
2000-08-14,40.093750,41.281250,39.937500,41.187500,36.635876,21862200
2000-08-15,40.968750,41.781250,40.562500,40.625000,36.135544,31208800
2000-08-16,40.687500,41.125000,40.531250,40.593750,36.107746,22698200
2000-08-17,40.437500,42.031250,40.406250,41.968750,37.330799,30085000
2000-08-18,41.750000,42.375000,40.562500,40.656250,36.163345,31121200
2000-08-21,41.062500,41.687500,40.382801,41.593750,36.997227,20295600
2000-08-22,41.437500,42.093750,41.093750,41.781250,37.164005,23251600
2000-08-23,41.468750,41.562500,40.500000,41.437500,36.858265,25104800
2000-08-24,41.437500,42.531250,41.343750,42.343750,37.664349,40413200
2000-08-25,42.343750,43.406250,42.250000,42.312500,37.636555,26866600
2000-08-28,42.500000,43.968750,42.468750,43.375000,38.581642,25833600
2000-08-29,43.406250,44.632801,43.281250,43.875000,39.026379,37678600
2000-08-30,43.843750,44.406250,43.562500,44.125000,39.248760,27073400
2000-08-31,44.218750,45.500000,44.218750,45.468750,40.444004,39840000
2000-09-01,46.101551,46.468750,45.437500,46.312500,41.194511,30417800
2000-09-05,46.187500,46.406250,45.281250,45.531250,40.499596,25535800
2000-09-06,45.687500,45.875000,44.531250,44.625000,39.693497,38473000
2000-09-07,45.062500,45.875000,44.750000,45.593750,40.555202,28559000
2000-09-08,45.406250,45.437500,43.250000,43.281250,38.498257,34569400
2000-09-11,43.031250,43.375000,41.187500,41.718750,37.108418,41459600
2000-09-12,41.500000,42.656250,39.531250,39.687500,35.301636,49606000
2000-09-13,38.875000,41.375000,38.468750,40.906250,36.385712,68132400
2000-09-14,43.187500,43.312500,41.125000,42.468750,37.775547,64170600
2000-09-15,40.562500,41.437500,39.000000,39.156250,34.829094,122939600
2000-09-18,39.406250,40.000000,37.375000,38.234348,34.009083,72997800
2000-09-19,38.718750,39.875000,38.062500,39.656250,35.273842,53198600
2000-09-20,39.500000,40.312500,38.750000,39.968750,35.551811,37352200
2000-09-21,39.718750,40.000000,37.750000,39.468750,35.107071,27160000
2000-09-22,37.968750,40.375000,37.750000,40.367149,35.906170,58729400
2000-09-25,40.562500,41.281250,39.375000,39.375000,35.023670,34748600
2000-09-26,39.656250,40.500000,39.312500,39.718750,35.329445,39993400
2000-09-27,40.093750,40.468750,39.000000,39.937500,35.524014,48205600
2000-09-28,39.750000,41.093750,39.187500,40.742149,36.239758,42188600
2000-09-29,40.679649,40.843750,39.125000,39.375000,35.023670,34843000
2000-10-02,39.875000,41.062500,38.859348,39.375000,35.023670,46136800
2000-10-03,39.906250,40.804649,34.375000,34.750000,30.909779,96827800
2000-10-04,33.000000,35.375000,30.250000,34.062500,30.298258,204852000
2000-10-05,34.156250,34.812500,33.250000,34.156250,30.381655,54316000
2000-10-06,34.625000,35.812500,33.437500,33.812500,30.075888,53378400
2000-10-09,33.812500,34.375000,32.562500,33.375000,29.686735,40304000
2000-10-10,33.031250,33.625000,32.250000,32.312500,28.741648,50948400
2000-10-11,31.500000,32.992149,31.000000,31.125000,27.685385,71687200
2000-10-12,31.906250,32.437500,30.875000,31.500000,28.018940,50889400
2000-10-13,31.000000,35.750000,31.000000,35.625000,31.688086,38514000
2000-10-16,36.562500,37.000000,33.375000,34.562500,30.743013,36480500
2000-10-17,35.750000,35.875000,32.875000,33.687500,29.964703,29353900
2000-10-18,31.562500,35.375000,30.500000,33.562500,29.853519,52547900
2000-10-19,36.000000,36.500000,34.625000,36.375000,32.355206,39321000
2000-10-20,36.125000,36.500000,34.937500,35.250000,31.354528,34073400
2000-10-23,35.187500,35.250000,33.375000,34.062500,30.298258,28316300
2000-10-24,35.000000,36.562500,34.500000,35.812500,31.854866,36713000
2000-10-25,36.500000,36.625000,34.000000,34.375000,30.576216,33361600
2000-10-26,34.750000,35.875000,30.937500,34.062500,30.298258,49986600
2000-10-27,34.500000,35.187500,33.000000,34.187500,30.409451,34962500
2000-10-30,33.750000,34.125000,31.375000,31.625000,28.130129,35420300
2000-10-31,32.625000,34.750000,32.500000,33.000000,29.353170,41881000
2000-11-01,32.812500,33.187500,30.375000,31.375000,27.907751,62692100
2000-11-02,32.437500,32.500000,27.250000,29.562500,26.295551,149767500
2000-11-03,31.500000,31.750000,29.500000,30.312500,26.962673,65017500
2000-11-06,30.687500,31.000000,27.500000,27.937500,24.850128,75551500
2000-11-07,28.375000,28.437500,26.500000,26.562500,23.627083,58951000
2000-11-08,27.375000,27.500000,24.500000,24.812500,22.070478,63040000
2000-11-09,24.687500,27.375000,24.062500,27.187500,24.183014,67280700
2000-11-10,26.437500,26.937500,24.875000,25.437500,22.626406,54609400
2000-11-13,25.125000,25.875000,23.500000,24.750000,22.014885,61652800
2000-11-14,27.375000,28.500000,26.500000,28.375000,25.239283,77494300
2000-11-15,28.812500,29.437500,27.703100,28.875000,25.684031,50649700
2000-11-16,28.750000,29.812500,27.250000,27.375000,24.349798,37986600
2000-11-17,26.937500,29.250000,25.250000,28.812500,25.628443,59636000
2000-11-20,24.312500,25.875000,24.000000,24.750000,22.014885,89778400
2000-11-21,24.812500,25.625000,23.500000,23.875000,21.236578,58647400
2000-11-22,23.625000,24.062500,22.062500,22.312500,19.846748,53315300
2000-11-24,23.312500,24.250000,23.125000,24.125000,21.458946,22443900
2000-11-27,25.437500,25.812500,22.875000,23.125000,20.569464,45665200
2000-11-28,23.500000,23.812500,22.250000,22.656200,20.152466,43075300
2000-11-29,23.187500,23.625000,21.812500,22.875000,20.347086,75409600
2000-11-30,21.750000,27.625000,21.500000,26.500000,23.571487,84386200
2000-12-01,26.375000,27.875000,25.500000,26.437500,23.515902,48663500
2000-12-04,26.250000,28.875000,26.187500,28.187500,25.072502,40710400
2000-12-05,29.437500,31.500000,28.875000,31.500000,28.018940,59754700
2000-12-06,31.187500,31.625000,29.312500,30.187500,26.851484,42125600
2000-12-07,29.625000,29.937500,28.125000,28.312500,25.183691,41088300
2000-12-08,30.062500,30.625000,29.250000,30.062500,26.740299,40052600
2000-12-11,30.500000,32.250000,30.000000,31.937500,28.408096,50279700
2000-12-12,31.875000,32.500000,30.406200,30.750000,27.351824,26481200
2000-12-13,31.937500,32.000000,28.250000,28.375000,25.239283,37933600
2000-12-14,29.250000,29.937500,27.250000,27.500000,24.460979,45894400
2000-12-15,29.437500,30.078100,28.187500,28.562500,25.406065,120004000
2000-12-18,30.000000,32.437500,29.937500,32.000000,28.463690,61640100
2000-12-19,31.812500,33.125000,30.125000,30.625000,27.240635,58653700
2000-12-20,28.062500,29.812500,27.500000,28.500000,25.350471,54440500
2000-12-21,27.812500,30.250000,27.312500,29.500000,26.239960,46719700
2000-12-22,30.375000,31.984301,30.000000,31.875000,28.352501,35568200
2000-12-26,31.500000,32.187500,30.000000,30.937500,27.518599,20589500
2000-12-27,30.375000,31.062500,29.375000,30.687500,27.296230,26437500
2000-12-28,30.562500,31.625000,30.375000,31.062500,27.629786,25053600
2000-12-29,30.875000,31.312500,28.687500,29.062500,25.850811,31702200
2001-01-02,29.562500,29.750000,25.625000,26.375000,23.460304,46281000
2001-01-03,25.250000,32.125000,25.250000,32.000000,28.463690,76389600
2001-01-04,31.562500,33.250000,31.000000,32.562500,28.964018,57584400
2001-01-05,32.500000,32.562500,29.625000,30.125000,26.795893,38415200
2001-01-08,30.062500,30.250000,27.562500,29.937500,26.629114,40644600
2001-01-09,30.625000,32.000000,30.250000,31.500000,28.018940,44818600
2001-01-10,30.500000,33.375000,30.250000,32.750000,29.130808,64627400
2001-01-11,32.312500,34.093700,32.250000,33.312500,29.631144,50906600
2001-01-12,33.062500,34.000000,32.000000,32.312500,28.741648,40234100
2001-01-16,33.062500,33.375000,31.062500,31.812500,28.296913,31198700
2001-01-17,33.312500,34.062500,32.750000,33.250000,29.575546,52535000
2001-01-18,33.609299,34.000000,32.812500,33.812500,30.075888,33749200
2001-01-19,34.125000,35.000000,33.625000,34.562500,30.743013,50227100
2001-01-22,33.625000,33.625000,31.328100,31.812500,28.296913,57564400
2001-01-23,31.937500,32.437500,31.312500,31.484301,28.004978,42545700
2001-01-24,32.000000,32.015598,30.000000,30.062500,26.740299,65596100
2001-01-25,30.562500,30.750000,29.500000,29.937500,26.629114,60995500
2001-01-26,29.625000,30.500000,28.750000,30.375000,27.018267,46538900
2001-01-29,30.187500,31.125000,29.812500,30.437500,27.073856,33397000
2001-01-30,30.750000,31.500000,30.125000,30.312500,26.962673,42788300
2001-01-31,30.562500,30.812500,29.062500,29.125000,25.906401,46144400
2001-02-01,29.250000,30.687500,29.125000,30.062500,26.740299,38389200
2001-02-02,29.937500,30.062500,27.687500,27.750000,24.683353,38655400
2001-02-05,27.500000,28.500000,26.500000,27.500000,24.460979,35933100
2001-02-06,27.375000,28.500000,27.187500,27.625000,24.572166,28746300
2001-02-07,27.125000,28.375000,26.500000,27.687500,24.627764,42854400
2001-02-08,28.437500,28.875000,26.687500,27.125000,24.127419,41775000
2001-02-09,25.250000,25.687500,23.250000,23.562500,20.958612,91625000
2001-02-12,23.625000,24.000000,22.500000,23.000000,20.458273,51901400
2001-02-13,23.687500,24.375000,22.500000,22.562500,20.069120,44509700
2001-02-14,23.250000,25.062500,22.687500,25.000000,22.237257,41247400
2001-02-15,25.562500,26.625000,25.187500,25.500000,22.681999,46084700
2001-02-16,24.000000,24.562500,23.187500,24.000000,21.347761,40632200
2001-02-20,24.375000,24.625000,23.000000,23.125000,20.569464,39873200
2001-02-21,22.812500,24.250000,22.062500,23.000000,20.458273,57591900
2001-02-22,23.515600,24.187500,22.437500,23.375000,20.791836,54073600
2001-02-23,22.875000,23.187500,20.562500,22.000000,19.568779,72859000
2001-02-26,22.375000,23.250000,21.562500,23.187500,20.625057,44847400
2001-02-27,22.437500,22.687500,21.562500,21.687500,19.290821,41584600
2001-02-28,21.875000,22.000000,18.812500,19.000000,16.900314,62362300
2001-03-01,19.000000,21.500000,18.750000,21.375000,19.012852,76869400
2001-03-02,16.250000,17.937500,15.750000,16.875000,15.010143,224088800
2001-03-05,17.312500,17.375000,16.687500,17.000000,15.121334,51544000
2001-03-06,17.750000,18.000000,17.375000,17.625000,15.677264,57448400
2001-03-07,18.312500,18.750000,17.812500,18.625000,16.566761,52486500
2001-03-08,18.390600,18.500000,17.312500,17.500000,15.566077,40342100
2001-03-09,17.125000,17.187500,16.125000,16.375000,14.565404,58409900
2001-03-12,16.000000,16.375000,15.062500,15.187500,13.509133,66843000
2001-03-13,15.937500,17.000000,15.375000,16.937500,15.065742,57981600
2001-03-14,16.250000,16.750000,15.562500,16.062500,14.287437,52862100
2001-03-15,16.500000,16.625000,14.500000,14.687500,13.064390,77834800
2001-03-16,14.187500,14.625000,13.500000,14.062500,12.508455,89327600
2001-03-19,14.375000,15.687500,14.187500,15.437500,13.731505,50443200
2001-03-20,15.875000,16.062500,14.312500,14.375000,12.786422,65545100
2001-03-21,14.750000,16.000000,14.250000,14.750000,13.119980,50574600
2001-03-22,15.250000,15.625000,14.375000,15.500000,13.787101,63980900
2001-03-23,16.312500,16.562500,15.671800,15.875000,14.120656,72068300
2001-03-26,16.320000,16.370001,15.400000,15.440000,13.733728,34392600
2001-03-27,16.040001,16.500000,15.460000,16.420000,14.605429,43943800
2001-03-28,16.120001,16.139999,14.580000,15.060000,13.395722,46438000
2001-03-29,14.610000,15.320000,14.030000,14.330000,12.746394,54250500
2001-03-30,14.520000,15.290000,14.320000,14.630000,13.013240,36956100
2001-04-02,15.100000,16.020000,15.010000,15.200000,13.520250,39034400
2001-04-03,14.630000,15.160000,13.100000,13.160000,11.705689,71558000
2001-04-04,13.280000,14.050000,13.000000,13.420000,11.936957,49247500
2001-04-05,14.480000,14.630000,14.000000,14.470000,12.870920,44283900
2001-04-06,14.330000,14.450000,13.310000,13.550000,12.052594,43585800
2001-04-09,14.100000,14.200000,13.630000,14.050000,12.497337,28898900
2001-04-10,14.470000,15.470000,14.250000,14.970000,13.315666,48270800
2001-04-11,15.600000,15.730000,15.010000,15.530000,13.813782,66768000
2001-04-12,15.450000,16.000000,15.340000,15.820000,14.071734,46220500
2001-04-16,16.000000,16.709999,15.600000,15.960000,14.196264,43783600
2001-04-17,15.470000,16.650000,15.410000,16.219999,14.427530,40606700
2001-04-18,17.350000,19.200001,17.000000,17.920000,15.939669,95540700
2001-04-19,19.660000,20.540001,19.320000,20.320000,18.074442,103097600
2001-04-20,20.590000,20.840000,19.320000,19.750000,17.567429,60473500
2001-04-23,18.330000,18.500000,16.920000,17.150000,15.254751,61003400
2001-04-24,16.900000,18.080000,16.719999,16.969999,15.094646,53129800
2001-04-25,17.110001,17.580000,16.650000,17.250000,15.343704,42959000
2001-04-26,18.160000,18.250000,16.799999,16.900000,15.032383,45575700
2001-04-27,17.410000,17.469999,16.670000,17.150000,15.254751,47171900
2001-04-30,17.770000,17.879999,15.870000,16.160000,14.374161,92948800
2001-05-01,16.320000,16.360001,15.520000,16.040001,14.267425,64021600
2001-05-02,16.850000,17.230000,16.000000,17.170000,15.272546,65788100
2001-05-03,16.820000,17.170000,16.209999,16.450001,14.632113,50568500
2001-05-04,16.139999,17.200001,15.960000,17.090000,15.201384,48155400
2001-05-07,17.139999,17.200001,16.510000,16.870001,15.005698,46012500
2001-05-08,17.250000,17.270000,16.540001,17.040001,15.156910,34351300
2001-05-09,16.660000,17.549999,16.459999,17.059999,15.174700,41358100
2001-05-10,17.270000,17.480000,16.379999,16.389999,14.578743,40520200
2001-05-11,16.379999,16.520000,15.860000,15.900000,14.142898,34225400
2001-05-14,16.080000,16.490000,16.000000,16.040001,14.267425,27117300
2001-05-15,16.209999,16.500000,15.680000,15.930000,14.169580,38532000
2001-05-16,15.720000,16.420000,15.450000,16.400000,14.587640,61700300
2001-05-17,16.420000,16.790001,15.950000,16.120001,14.338584,44326500
2001-05-18,16.010000,16.350000,15.880000,16.280001,14.480903,29843000
2001-05-21,16.270000,18.209999,16.190001,18.100000,16.099775,68843600
2001-05-22,18.350000,18.520000,17.459999,17.580000,15.637236,61060300
2001-05-23,17.209999,17.260000,16.750000,16.830000,14.970117,41615300
2001-05-24,16.860001,17.400000,16.320000,17.299999,15.388177,30695500
2001-05-25,16.969999,17.150000,16.420000,16.510000,14.685482,27635500
2001-05-29,16.370001,16.430000,15.440000,15.610000,13.884942,44873200
2001-05-30,15.360000,16.000000,14.450000,14.510000,12.906503,60895300
2001-05-31,14.650000,15.890000,14.600000,15.300000,13.609200,77868700
2001-06-01,15.500000,15.990000,15.260000,15.860000,14.107315,38975400
2001-06-04,16.530001,16.540001,15.930000,16.059999,14.285213,34347900
2001-06-05,16.120001,16.959999,16.090000,16.760000,14.907855,37528800
2001-06-06,16.940001,17.240000,16.799999,17.000000,15.121334,43538700
2001-06-07,16.860001,17.400000,16.610001,17.330000,15.414864,33703600
2001-06-08,17.280001,17.500000,16.920000,17.010000,15.130228,21379300
2001-06-11,17.000000,17.010000,16.020000,16.190001,14.400846,26158600
2001-06-12,16.010000,16.360001,15.340000,16.139999,14.356373,35267300
2001-06-13,16.350000,16.450001,15.340000,15.500000,13.787101,34243200
2001-06-14,15.360000,15.370000,14.700000,14.850000,13.208930,45062500
2001-06-15,14.750000,15.500000,14.660000,15.000000,13.342353,59629800
2001-06-18,15.230000,15.300000,14.620000,14.840000,13.200036,51419000
2001-06-19,17.049999,17.080000,16.440001,16.760000,14.907855,123132300
2001-06-20,16.520000,17.770000,16.440001,17.520000,15.583868,64848800
2001-06-21,17.459999,18.040001,17.299999,17.900000,15.921874,42898000
2001-06-22,17.799999,17.969999,17.350000,17.480000,15.548291,29738200
2001-06-25,17.650000,18.059999,17.510000,17.770000,15.806239,30607400
2001-06-26,17.350000,19.000000,17.010000,18.440001,16.402203,58071400
2001-06-27,18.559999,18.840000,17.700001,18.040001,16.046406,56799800
2001-06-28,18.389999,19.629999,18.290001,19.180000,17.060417,72499100
2001-06-29,19.190001,20.020000,17.799999,19.000000,16.900314,60090400
2001-07-02,19.240000,20.000000,19.070000,19.580000,17.416220,29413600
2001-07-03,19.389999,20.000000,18.780001,19.770000,17.585220,22039400
2001-07-05,19.379999,19.910000,18.900000,18.930000,16.838057,29051400
2001-07-06,18.629999,18.950001,18.040001,18.209999,16.197617,28647000
2001-07-09,18.180000,19.330000,18.100000,18.910000,16.820263,32770400
2001-07-10,19.090000,19.459999,17.559999,17.590000,15.646129,37848700
2001-07-11,17.570000,18.100000,17.459999,18.000000,16.010824,35511200
2001-07-12,18.930000,19.930000,18.200001,19.660000,17.487371,45614700
2001-07-13,19.260000,19.900000,19.100000,19.540001,17.380640,31009700
2001-07-16,19.309999,19.790001,18.510000,18.700001,16.633465,27119500
2001-07-17,18.520000,19.580000,18.459999,19.500000,17.345060,30114100
2001-07-18,18.840000,19.410000,18.580000,18.780001,16.704622,27427000
2001-07-19,19.040001,19.690001,18.570000,19.170000,17.051533,32984700
2001-07-20,19.020000,19.160000,18.700001,19.070000,16.962576,25359300
2001-07-23,19.129999,19.299999,18.100000,18.129999,16.126463,25795800
2001-07-24,18.209999,18.700001,17.879999,18.209999,16.197617,33028800
2001-07-25,18.389999,19.340000,18.309999,19.260000,17.131584,36470800
2001-07-26,19.080000,19.549999,18.680000,19.410000,17.265007,36148800
2001-07-27,19.139999,20.000000,18.750000,19.059999,16.953676,28020000
2001-07-30,19.070000,19.180000,18.450001,18.670000,16.606781,25210800
2001-07-31,18.600000,18.959999,18.040001,18.080000,16.081980,43749700
2001-08-01,18.360001,18.840000,18.100000,18.320000,16.295458,37145400
2001-08-02,18.670000,18.850000,17.980000,18.309999,16.286568,33431000
2001-08-03,18.320000,18.340000,17.900000,18.000000,16.010824,28608900
2001-08-06,17.680000,18.010000,17.309999,17.459999,15.530499,24829900
2001-08-07,17.400000,17.440001,17.010000,17.240000,15.334808,33877700
2001-08-08,17.040001,17.600000,16.150000,16.299999,14.498691,47257900
2001-08-09,16.320000,16.420000,15.850000,15.990000,14.222947,46391600
2001-08-10,15.780000,15.920000,15.000000,15.160000,13.484674,61738800
2001-08-13,15.040000,15.910000,14.770000,15.690000,13.956103,47255700
2001-08-14,15.930000,16.320000,15.460000,15.550000,13.831572,37069400
2001-08-15,15.610000,15.820000,14.960000,15.010000,13.351249,33463100
2001-08-16,14.820000,15.350000,14.670000,15.310000,13.618096,38077500
2001-08-17,14.900000,15.090000,14.630000,14.720000,13.093297,25901300
2001-08-20,14.700000,14.920000,14.420000,14.810000,13.173353,25332300
2001-08-21,14.870000,15.250000,14.080000,14.130000,12.568497,28873200
2001-08-22,14.380000,14.780000,14.020000,14.640000,13.022137,28870500
2001-08-23,14.520000,15.030000,14.000000,14.010000,12.461758,31620300
2001-08-24,14.410000,15.290000,14.110000,15.190000,13.511354,33658100
2001-08-27,15.130000,15.280000,14.750000,14.930000,13.280088,23745200
2001-08-28,14.940000,15.000000,13.980000,14.010000,12.461758,36618900
2001-08-29,14.200000,14.210000,13.240000,13.350000,11.874691,43939900
2001-08-30,13.080000,13.400000,11.820000,12.000000,10.673881,76405600
2001-08-31,12.100000,12.830000,12.040000,12.210000,10.860674,38723800
2001-09-04,12.530000,13.030000,12.010000,12.080000,10.745041,45400800
2001-09-05,12.250000,12.540000,11.620000,12.070000,10.736146,58220600
2001-09-06,11.820000,12.050000,10.850000,10.920000,9.713232,74982200
2001-09-07,10.860000,11.310000,10.550000,11.070000,9.846655,48172100
2001-09-10,10.890000,11.520000,10.850000,11.460000,10.193557,53889500
2001-09-17,10.290000,11.300000,10.240000,11.010000,9.793285,63861900
2001-09-18,10.950000,11.630000,10.700000,11.380000,10.122401,77758800
2001-09-19,11.230000,11.530000,10.260000,11.200000,9.962291,67253400
2001-09-20,10.790000,11.540000,10.740000,11.310000,10.060135,57281700
2001-09-21,10.190000,11.150000,10.160000,10.760000,9.570913,80169100
2001-09-24,11.300000,12.740000,11.250000,12.520000,11.136417,76525500
2001-09-25,12.660000,13.060000,12.150000,12.250000,10.896253,57355300
2001-09-26,12.490000,12.540000,11.920000,12.200000,10.851779,39057600
2001-09-27,11.970000,12.320000,11.770000,12.040000,10.709458,41609600
2001-09-28,12.170000,12.740000,12.070000,12.580000,11.189787,44276500
2001-10-01,12.470000,12.700000,12.180000,12.580000,11.189787,30206800
2001-10-02,12.520000,12.840000,12.340000,12.600000,11.207576,42296100
2001-10-03,12.370000,14.160000,12.230000,13.660000,12.150435,71058700
2001-10-04,14.100000,14.590000,13.610000,13.790000,12.266070,57506300
2001-10-05,13.510000,14.420000,13.370000,14.200000,12.630759,39470600
2001-10-08,13.810000,14.400000,13.630000,13.900000,12.363915,30967900
2001-10-09,14.020000,14.050000,13.420000,13.700000,12.186015,28599600
2001-10-10,13.500000,14.450000,13.380000,14.290000,12.710817,38833200
2001-10-11,14.530000,15.000000,14.500000,14.970000,13.315666,49702400
2001-10-12,14.560000,14.950000,14.200000,14.940000,13.288984,41655100
2001-10-15,14.470000,14.740000,14.210000,14.440000,12.844240,49779400
2001-10-16,14.550000,14.980000,14.390000,14.940000,13.288984,32793500
2001-10-17,15.270000,15.350000,13.630000,13.660000,12.150435,54189200
2001-10-18,13.710000,14.460000,13.590000,14.260000,12.684127,40798900
2001-10-19,14.080000,14.610000,13.850000,14.540000,12.933187,35524500
2001-10-22,14.320000,14.990000,14.210000,14.950000,13.297876,24091900
2001-10-23,15.040000,15.480000,14.800000,15.010000,13.351249,38775600
2001-10-24,14.670000,15.070000,14.430000,14.660000,13.039927,59223700
2001-10-25,14.000000,14.100000,13.260000,13.950000,12.408389,82909100
2001-10-26,13.710000,14.080000,13.400000,13.580000,12.079280,46623900
2001-10-29,13.420000,13.860000,13.210000,13.400000,11.919167,39469900
2001-10-30,13.330000,13.820000,13.100000,13.500000,12.008117,39623500
2001-10-31,13.870000,14.180000,13.470000,13.560000,12.061490,36448300
2001-11-01,13.590000,14.220000,13.420000,14.170000,12.604078,37005300
2001-11-02,14.110000,14.550000,13.900000,14.450000,12.853133,30795000
2001-11-05,14.820000,15.150000,14.600000,14.960000,13.306775,35243400
2001-11-06,14.680000,15.290000,14.440000,15.220000,13.538042,34708200
2001-11-07,15.060000,15.940000,15.000000,15.580000,13.858255,44046600
2001-11-08,15.630000,16.280001,15.220000,15.450000,13.742622,46697600
2001-11-09,15.370000,15.690000,15.180000,15.380000,13.680359,29770800
2001-11-12,15.140000,15.530000,14.640000,15.400000,13.698148,27878300
2001-11-13,15.130000,15.270000,14.280000,14.520000,12.915399,89914000
2001-11-14,14.830000,15.070000,14.200000,14.920000,13.271194,52842700
2001-11-15,14.680000,15.250000,14.500000,14.790000,13.155560,41385800
2001-11-16,14.860000,14.920000,14.370000,14.550000,12.942084,40618100
2001-11-19,14.820000,15.050000,14.500000,14.870000,13.226722,30458900
2001-11-20,14.800000,15.180000,14.540000,14.560000,12.950979,40052100
2001-11-21,14.500000,14.720000,13.970000,14.080000,12.524020,33836400
2001-11-23,14.140000,14.450000,14.080000,14.410000,12.817554,10846300
2001-11-26,14.540000,14.790000,14.450000,14.740000,13.111086,32643100
2001-11-27,14.570000,14.920000,14.230000,14.420000,12.826447,36021500
2001-11-28,14.320000,14.880000,14.070000,14.120000,12.559601,30083900
2001-11-29,14.320000,14.500000,14.000000,14.190000,12.621868,36810100
2001-11-30,14.410000,14.780000,13.680000,14.030000,12.479549,74143100
2001-12-03,13.820000,14.270000,13.650000,13.700000,12.186015,42093800
2001-12-04,13.870000,13.900000,13.320000,13.800000,12.274967,47757100
2001-12-05,14.500000,15.380000,14.450000,15.370000,13.671465,113746800
2001-12-06,15.610000,16.030001,15.500000,15.900000,14.142898,67014700
2001-12-07,15.740000,15.950000,15.550000,15.910000,14.151790,42468600
2001-12-10,15.640000,16.020000,15.250000,15.420000,13.715939,35877600
2001-12-11,15.710000,15.760000,15.100000,15.110000,13.440196,41071500
2001-12-12,15.280000,15.450000,14.750000,15.100000,13.431301,44940700
2001-12-13,14.740000,15.250000,14.390000,14.670000,13.048823,52531500
2001-12-14,14.650000,14.700000,14.310000,14.570000,12.959872,54346500
2001-12-17,14.450000,15.000000,14.400000,14.790000,13.155560,32530700
2001-12-18,15.000000,15.300000,14.910000,15.050000,13.386827,40321500
2001-12-19,14.810000,15.400000,14.780000,14.920000,13.271194,59069000
2001-12-20,14.850000,14.910000,14.400000,14.490000,12.888713,44289800
2001-12-21,14.790000,14.940000,14.350000,14.380000,12.790868,59252900
2001-12-24,14.410000,14.640000,14.230000,14.340000,12.755289,12753700
2001-12-26,14.260000,14.700000,14.080000,14.090000,12.532915,26817000
2001-12-27,14.100000,14.250000,13.870000,13.990000,12.443967,31281100
2001-12-28,14.060000,14.360000,14.010000,14.060000,12.506234,24629700
2001-12-31,14.100000,14.230000,13.800000,13.810000,12.283859,29857600
2002-01-02,13.980000,14.060000,13.800000,13.980000,12.435071,42477900
2002-01-03,14.150000,15.340000,14.100000,15.290000,13.600307,77498300
2002-01-04,15.560000,15.890000,15.250000,15.450000,13.742622,42962600
2002-01-07,15.680000,15.760000,15.270000,15.490000,13.778204,33672400
2002-01-08,15.400000,16.010000,15.390000,15.750000,14.009470,39963400
2002-01-09,16.290001,17.250000,16.230000,16.730000,14.881170,104852700
2002-01-10,16.650000,17.030001,16.360001,16.690001,14.845591,42615900
2002-01-11,16.690001,16.860001,16.200001,16.270000,14.472008,41520900
2002-01-14,16.070000,16.680000,16.030001,16.389999,14.578743,36595900
2002-01-15,16.480000,17.000000,16.400000,16.990000,15.112435,42148200
2002-01-16,16.650000,17.040001,16.510000,16.580000,14.747750,38500400
2002-01-17,16.930000,17.500000,16.790001,17.219999,15.317023,49705700
2002-01-18,16.750000,16.870001,16.440001,16.480000,14.658796,44563400
2002-01-22,16.680000,16.969999,15.920000,15.940000,14.178473,42317200
2002-01-23,16.049999,16.950001,15.830000,16.750000,14.898964,45388000
2002-01-24,17.120001,17.430000,17.030001,17.250000,15.343704,46794400
2002-01-25,16.969999,17.420000,16.670000,16.690001,14.845591,41197100
2002-01-28,16.920000,17.139999,16.750000,16.900000,15.032383,27499800
2002-01-29,16.809999,17.100000,16.290001,16.500000,14.676585,42884700
2002-01-30,16.469999,16.700001,15.820000,16.620001,14.783325,46967300
2002-01-31,17.000000,17.330000,16.650000,17.260000,15.352599,52355800
2002-02-01,16.780001,17.030001,16.330000,16.389999,14.578743,50686200
2002-02-04,16.440001,16.639999,15.910000,16.120001,14.338584,40447500
2002-02-05,15.970000,16.260000,15.780000,15.810000,14.062840,40088800
2002-02-06,16.090000,16.170000,15.650000,16.040001,14.267425,39840500
2002-02-07,15.900000,16.469999,15.740000,15.920000,14.160685,34368100
2002-02-08,15.990000,16.250000,15.360000,16.180000,14.391953,35752800
2002-02-11,16.059999,16.400000,15.930000,16.350000,14.543164,27446200
2002-02-12,16.180000,16.600000,16.000000,16.180000,14.391953,27703500
2002-02-13,16.379999,16.410000,16.040001,16.120001,14.338584,24804300
2002-02-14,16.190001,16.860001,16.080000,16.320000,14.516479,31951400
2002-02-15,16.370001,16.440001,15.410000,15.490000,13.778204,35977500
2002-02-19,15.330000,15.600000,14.510000,14.790000,13.155560,46342700
2002-02-20,15.110000,15.750000,14.950000,15.510000,13.795994,42658600
2002-02-21,15.520000,15.800000,15.240000,15.260000,13.573620,35673800
2002-02-22,15.290000,15.690000,14.720000,15.500000,13.787101,31700700
2002-02-25,15.580000,16.450001,15.520000,16.340000,14.534271,41281500
2002-02-26,16.330000,16.820000,16.270000,16.530001,14.703275,41557900
2002-02-27,16.719999,16.889999,15.990000,16.370001,14.560957,40283300
2002-02-28,16.389999,16.950001,16.379999,16.620001,14.783325,48930600
2002-03-01,16.660000,16.719999,15.550000,15.990000,14.222947,78055500
2002-03-04,13.950000,14.050000,12.950000,13.670000,12.159329,208718700
2002-03-05,13.970000,14.140000,13.670000,13.850000,12.319440,72999800
2002-03-06,13.800000,14.210000,13.630000,14.140000,12.577394,47536200
2002-03-07,14.470000,14.530000,13.720000,14.000000,12.452865,38756800
2002-03-08,14.420000,14.550000,14.100000,14.200000,12.630759,42591600
2002-03-11,14.150000,14.750000,14.040000,14.500000,12.897607,31683800
2002-03-12,14.390000,14.630000,14.240000,14.440000,12.844240,30116900
2002-03-13,14.330000,14.410000,13.860000,13.890000,12.355020,33362500
2002-03-14,13.960000,14.080000,13.380000,13.440000,11.954747,46463700
2002-03-15,12.900000,13.030000,12.590000,12.600000,11.207576,121186000
2002-03-18,12.830000,13.010000,12.470000,12.600000,11.207576,49182600
2002-03-19,12.740000,13.160000,12.700000,12.810000,11.394370,37202500
2002-03-20,12.660000,13.050000,12.520000,12.540000,11.154209,35961200
2002-03-21,12.650000,13.250000,12.440000,13.150000,11.696795,49338700
2002-03-22,13.260000,13.500000,12.770000,12.850000,11.429949,40552600
2002-03-25,12.920000,13.000000,12.500000,12.520000,11.136417,30843100
2002-03-26,12.510000,13.000000,12.460000,12.710000,11.305421,37668400
2002-03-27,12.730000,12.820000,12.550000,12.630000,11.234262,28081700
2002-03-28,12.750000,12.890000,12.590000,12.800000,11.385474,24038700
2002-04-01,12.600000,12.890000,12.500000,12.840000,11.421054,28660500
2002-04-02,12.570000,12.710000,12.470000,12.530000,11.145312,28503600
2002-04-03,12.550000,12.720000,12.320000,12.480000,11.100841,29135700
2002-04-04,12.360000,12.590000,12.040000,12.220000,10.869572,31358700
2002-04-05,12.340000,12.530000,12.030000,12.130000,10.789515,25132200
2002-04-08,11.960000,12.370000,11.770000,12.340000,10.976313,29156800
2002-04-09,12.330000,12.380000,11.830000,11.980000,10.656094,36219100
2002-04-10,11.920000,12.080000,10.860000,11.550000,10.273612,60553900
2002-04-11,11.330000,11.440000,10.910000,10.940000,9.731021,41736500
2002-04-12,11.090000,11.600000,10.920000,11.510000,10.238035,45762600
2002-04-15,11.610000,11.780000,11.290000,11.300000,10.051239,34398400
2002-04-16,11.690000,12.280000,11.540000,12.060000,10.727255,29575900
2002-04-17,12.010000,12.150000,11.680000,11.780000,10.478193,32665700
2002-04-18,11.850000,12.050000,11.590000,11.650000,10.362561,32099900
2002-04-19,11.880000,12.100000,11.750000,11.930000,10.611618,26765600
2002-04-22,11.750000,11.810000,11.330000,11.430000,10.166874,41638100
2002-04-23,11.440000,11.460000,10.880000,11.120000,9.891130,52599600
2002-04-24,11.040000,11.130000,10.500000,10.500000,9.339647,57097300
2002-04-25,10.500000,10.910000,10.450000,10.500000,9.339647,44673800
2002-04-26,10.690000,10.830000,10.100000,10.130000,9.010536,39596300
2002-04-29,10.220000,10.450000,10.130000,10.430000,9.277383,42502700
2002-04-30,10.330000,10.470000,10.000000,10.040000,8.930483,69154400
2002-05-01,9.930000,10.000000,8.880000,9.450000,8.405684,108231800
2002-05-02,9.340000,9.510000,8.150000,8.550000,7.605141,127028400
2002-05-03,8.460000,8.540000,7.840000,8.430000,7.498401,110031900
2002-05-06,8.250000,8.510000,8.150000,8.220000,7.311610,64023900
2002-05-07,8.250000,8.440000,7.500000,8.250000,7.338293,100174400
2002-05-08,8.700000,9.180000,8.520000,9.150000,8.138834,64747900
2002-05-09,9.040000,9.070000,8.410000,8.480000,7.542877,44338200
2002-05-10,8.500000,8.630000,8.000000,8.010000,7.124816,51678300
2002-05-13,8.200000,8.560000,8.080000,8.470000,7.533982,47133400
2002-05-14,8.910000,9.050000,8.570000,8.810000,7.836409,69514000
2002-05-15,8.650000,9.720000,8.550000,9.190000,8.174413,84175000
2002-05-16,9.270000,9.660000,9.190000,9.580000,8.521317,44102600
2002-05-17,9.770000,10.000000,9.380000,9.560000,8.503523,46574200
2002-05-20,9.380000,9.450000,8.600000,9.110000,8.103256,36387600
2002-05-21,9.170000,9.400000,8.740000,8.850000,7.871991,42013800
2002-05-22,8.720000,8.920000,8.440000,8.800000,7.827513,59710300
2002-05-23,9.020000,9.410000,8.800000,9.370000,8.334523,43943400
2002-05-24,9.200000,9.240000,8.790000,8.850000,7.871991,28872400
2002-05-28,9.050000,9.060000,8.570000,8.940000,7.952040,30326100
2002-05-29,8.840000,8.940000,8.400000,8.400000,7.471716,37093300
2002-05-30,8.350000,8.780000,8.250000,8.420000,7.489509,45703700
2002-05-31,8.480000,8.520000,7.840000,7.920000,7.044763,52579400
2002-06-03,7.800000,8.190000,7.270000,7.320000,6.511068,86670000
2002-06-04,7.470000,8.070000,7.250000,7.820000,6.955816,80771800
2002-06-05,7.870000,8.670000,7.590000,8.660000,7.702984,60986500
2002-06-06,8.450000,8.490000,8.060000,8.150000,7.249345,59408000
2002-06-07,7.930000,8.730000,7.870000,8.360000,7.436139,54034000
2002-06-10,8.420000,8.430000,8.080000,8.140000,7.240451,38192900
2002-06-11,8.290000,8.480000,7.970000,8.030000,7.142606,39634900
2002-06-12,7.910000,8.300000,7.730000,8.260000,7.347190,61515800
2002-06-13,8.200000,8.420000,8.080000,8.260000,7.347190,45476900
2002-06-14,8.130000,8.600000,7.940000,8.570000,7.622930,45042200
2002-06-17,8.700000,9.380000,8.670000,9.200000,8.183311,73449200
2002-06-18,9.040000,9.140000,8.700000,8.980000,7.987624,87006200
2002-06-19,9.440000,9.520000,8.530000,8.800000,7.827513,111863800
2002-06-20,8.650000,8.800000,8.370000,8.460000,7.525086,56839400
2002-06-21,8.290000,8.680000,8.080000,8.120000,7.222661,62786500
2002-06-24,8.030000,8.770000,7.930000,8.610000,7.658512,59579000
2002-06-25,8.710000,8.860000,8.320000,8.700000,7.738562,57016100
2002-06-26,8.200000,9.500000,8.150000,9.170000,8.156626,76641800
2002-06-27,9.350000,9.700000,9.110000,9.680000,8.610267,80203600
2002-06-28,9.500000,9.920000,9.350000,9.470000,8.423471,51290300
2002-07-01,9.300000,9.370000,8.930000,9.000000,8.005412,42506500
2002-07-02,8.880000,9.000000,8.610000,8.680000,7.720774,48316200
2002-07-03,8.580000,9.630000,8.540000,9.550000,8.494629,50001600
2002-07-05,9.800000,10.050000,9.760000,9.980000,8.877112,24017600
2002-07-08,9.760000,10.080000,9.240000,9.310000,8.281154,47165100
2002-07-09,9.440000,9.900000,9.340000,9.400000,8.361209,47022800
2002-07-10,9.530000,9.640000,8.950000,8.980000,7.987624,53667200
2002-07-11,8.870000,9.530000,8.710000,9.420000,8.378997,73131400
2002-07-12,9.560000,9.830000,9.420000,9.680000,8.610267,50084300
2002-07-15,9.480000,10.170000,9.400000,10.150000,9.028326,62672400
2002-07-16,9.960000,10.480000,9.880000,9.990000,8.886008,79162800
2002-07-17,10.430000,10.550000,10.000000,10.470000,9.312963,72719600
2002-07-18,10.280000,10.310000,9.950000,10.050000,8.939380,68437400
2002-07-19,9.800000,10.060000,9.490000,9.720000,8.645846,59706300
2002-07-22,9.510000,9.650000,9.170000,9.230000,8.209993,62146800
2002-07-23,9.360000,9.530000,8.760000,8.800000,7.827513,66680100
2002-07-24,8.500000,9.470000,8.360000,9.400000,8.361209,70072800
2002-07-25,9.140000,9.270000,8.760000,9.010000,8.014307,62316200
2002-07-26,9.010000,9.350000,8.820000,9.330000,8.298947,44375500
2002-07-29,9.600000,9.750000,9.310000,9.550000,8.494629,49638500
2002-07-30,9.530000,10.000000,9.440000,9.870000,8.779268,51168000
2002-07-31,9.720000,10.010000,9.580000,10.010000,8.903798,43451400
2002-08-01,9.900000,10.040000,9.480000,9.670000,8.601371,47106200
2002-08-02,9.530000,9.660000,9.050000,9.410000,8.370103,50938500
2002-08-05,9.300000,9.490000,9.000000,9.010000,8.014307,40423800
2002-08-06,9.220000,9.620000,9.100000,9.330000,8.298947,51110000
2002-08-07,9.660000,9.830000,9.200000,9.520000,8.467947,51504200
2002-08-08,9.490000,10.050000,9.410000,10.010000,8.903798,45828500
2002-08-09,9.830000,10.330000,9.780000,9.810000,8.725896,48363200
2002-08-12,9.670000,10.020000,9.640000,9.730000,8.654740,33188100
2002-08-13,9.620000,9.700000,9.060000,9.090000,8.085467,54342800
2002-08-14,9.230000,10.090000,9.190000,10.050000,8.939380,54279100
2002-08-15,10.120000,10.270000,9.850000,10.120000,9.001640,56122100
2002-08-16,9.920000,10.450000,9.890000,10.390000,9.241802,45686200
2002-08-19,10.420000,11.140000,10.320000,10.930000,9.722128,56303000
2002-08-20,10.700000,11.000000,10.540000,10.760000,9.570913,38054800
2002-08-21,10.950000,11.060000,10.550000,10.760000,9.570913,45105100
2002-08-22,10.870000,11.200000,10.600000,11.190000,9.953397,42098900
2002-08-23,11.020000,11.220000,10.580000,10.790000,9.597600,29674700
2002-08-26,10.770000,10.850000,10.260000,10.570000,9.401912,35549500
2002-08-27,10.720000,10.820000,10.100000,10.150000,9.028326,36429100
2002-08-28,10.130000,10.420000,9.850000,9.910000,8.814846,33652200
2002-08-29,9.790000,10.130000,9.650000,9.960000,8.859322,39768600
2002-08-30,9.790000,9.920000,9.520000,9.590000,8.530209,34935200
2002-09-03,9.510000,9.570000,9.000000,9.060000,8.058783,43694600
2002-09-04,9.180000,9.690000,9.150000,9.600000,8.539107,43514400
2002-09-05,9.450000,9.470000,9.110000,9.120000,8.112150,44877700
2002-09-06,9.470000,9.810000,9.410000,9.630000,8.565792,39052400
2002-09-09,9.620000,9.880000,9.400000,9.780000,8.699216,39399100
2002-09-10,9.770000,9.970000,9.460000,9.790000,8.708110,40390100
2002-09-11,9.860000,10.200000,9.770000,9.800000,8.717004,34483500
2002-09-12,9.690000,9.760000,9.430000,9.480000,8.432367,33143900
2002-09-13,9.490000,9.860000,9.430000,9.730000,8.654740,36261100
2002-09-16,9.710000,9.750000,9.050000,9.280000,8.254467,52494500
2002-09-17,9.400000,9.420000,8.780000,9.030000,8.032095,81486100
2002-09-18,8.240000,8.540000,7.810000,8.320000,7.400558,122601600
2002-09-19,8.050000,8.210000,7.950000,8.110000,7.213765,47977300
2002-09-20,8.180000,8.280000,7.960000,7.990000,7.107028,69838300
2002-09-23,7.850000,7.960000,7.490000,7.640000,6.795705,54908300
2002-09-24,7.390000,8.180000,7.300000,8.000000,7.115922,77572000
2002-09-25,8.120000,8.600000,7.960000,8.590000,7.640721,63782200
2002-09-26,8.670000,8.720000,8.200000,8.290000,7.373875,58182400
2002-09-27,8.120000,8.640000,8.090000,8.400000,7.471716,47307400
2002-09-30,8.160000,8.280000,7.300000,7.860000,6.991393,49137600
2002-10-01,7.830000,8.580000,7.780000,8.540000,7.596247,54834900
2002-10-02,8.270000,8.550000,8.190000,8.310000,7.391663,45000700
2002-10-03,8.230000,8.580000,8.140000,8.330000,7.409452,49005300
2002-10-04,8.460000,8.580000,8.200000,8.200000,7.293820,45026100
2002-10-07,8.120000,8.240000,7.650000,7.700000,6.849074,50625700
2002-10-08,7.830000,8.230000,7.790000,8.070000,7.178186,48688300
2002-10-09,7.910000,8.250000,7.800000,8.070000,7.178186,55491400
2002-10-10,8.080000,8.580000,8.020000,8.510000,7.569563,39404700
2002-10-11,8.610000,9.070000,8.510000,9.050000,8.049888,49019800
2002-10-14,8.840000,9.300000,8.740000,9.250000,8.227786,32391600
2002-10-15,9.620000,9.840000,9.350000,9.690000,8.619159,52984900
2002-10-16,9.220000,9.590000,9.220000,9.320000,8.290048,41261700
2002-10-17,9.980000,10.080000,9.730000,9.870000,8.779268,52962900
2002-10-18,9.550000,9.670000,9.230000,9.490000,8.441261,54988200
2002-10-21,9.370000,9.790000,9.270000,9.640000,8.574686,47599300
2002-10-22,9.380000,9.950000,9.330000,9.890000,8.797059,46216500
2002-10-23,9.770000,10.000000,9.640000,9.960000,8.859322,50575400
2002-10-24,9.980000,10.190000,9.820000,9.860000,8.770370,55952100
2002-10-25,9.940000,10.310000,9.910000,10.260000,9.126168,45287900
2002-10-28,10.380000,10.420000,9.950000,10.070000,8.957167,40931700
2002-10-29,10.010000,10.290000,9.670000,9.960000,8.859322,43315700
2002-10-30,9.980000,10.120000,9.830000,10.010000,8.903798,50795900
2002-10-31,9.970000,10.250000,9.800000,10.190000,9.063905,53490400
2002-11-01,10.040000,10.270000,9.690000,10.130000,9.010536,44318000
2002-11-04,10.410000,10.480000,9.910000,10.240000,9.108378,61141500
2002-11-05,10.090000,10.260000,9.990000,10.170000,9.046114,40878800
2002-11-06,10.310000,10.410000,10.070000,10.360000,9.215117,53095100
2002-11-07,10.130000,10.240000,10.000000,10.200000,9.072800,41749500
2002-11-08,10.080000,10.080000,9.540000,9.550000,8.494629,56464000
2002-11-11,9.210000,9.500000,8.970000,9.050000,8.049888,48740600
2002-11-12,9.260000,9.760000,9.130000,9.500000,8.450157,52874400
2002-11-13,9.370000,9.740000,9.360000,9.620000,8.556897,43148800
2002-11-14,9.810000,10.400000,9.790000,10.350000,9.206223,47581000
2002-11-15,10.170000,10.780000,10.110000,10.710000,9.526440,57425300
2002-11-18,10.880000,11.000000,10.250000,10.250000,9.117275,42280500
2002-11-19,10.240000,10.600000,10.050000,10.370000,9.224017,39188600
2002-11-20,10.360000,10.780000,10.250000,10.740000,9.553125,48408600
2002-11-21,10.840000,11.500000,10.820000,11.460000,10.193557,59605500
2002-11-22,11.070000,11.650000,11.020000,11.580000,10.300299,47514400
2002-11-25,11.600000,12.000000,11.530000,11.910000,10.593827,45853800
2002-11-26,11.810000,12.080000,11.550000,11.630000,10.344773,58763800
2002-11-27,11.900000,12.210000,11.480000,12.000000,10.673881,47671800
2002-11-29,12.030000,12.250000,11.950000,12.150000,10.807303,16345800
2002-12-02,12.360000,12.730000,11.820000,11.900000,10.584934,46174700
2002-12-03,11.820000,11.940000,11.250000,11.370000,10.113503,46235500
2002-12-04,11.040000,11.350000,10.740000,11.050000,9.828863,45352900
2002-12-05,11.300000,11.330000,10.650000,10.690000,9.508653,39194600
2002-12-06,10.540000,11.590000,10.450000,11.280000,10.033448,47974500
2002-12-09,11.120000,11.290000,10.510000,10.530000,9.366334,41361800
2002-12-10,10.770000,11.030000,10.630000,10.700000,9.517542,35175200
2002-12-11,10.700000,11.450000,10.610000,11.300000,10.051239,42332500
2002-12-12,11.470000,11.550000,11.050000,11.400000,10.140189,31506500
2002-12-13,11.280000,11.320000,10.630000,10.650000,9.473071,49233800
2002-12-16,10.950000,11.370000,10.810000,11.300000,10.051239,36217200
2002-12-17,11.210000,11.480000,10.860000,11.020000,9.802179,38315200
2002-12-18,10.800000,10.890000,10.410000,10.630000,9.455281,59093700
2002-12-19,11.060000,11.570000,10.800000,11.000000,9.784389,97046000
2002-12-20,11.280000,11.370000,10.550000,10.740000,9.553125,70354000
2002-12-23,10.780000,11.150000,10.620000,11.060000,9.837760,32994600
2002-12-24,10.900000,11.150000,10.850000,10.990000,9.775497,9088400
2002-12-26,11.000000,11.230000,10.780000,10.830000,9.633178,19094500
2002-12-27,10.810000,11.070000,10.750000,10.790000,9.597600,24793900
2002-12-30,10.870000,11.020000,10.730000,10.940000,9.731021,29686300
2002-12-31,10.880000,10.970000,10.780000,10.800000,9.606497,26155500
2003-01-02,10.940000,11.250000,10.800000,11.210000,9.971185,32064900
2003-01-03,11.190000,11.620000,11.120000,11.560000,10.282507,30879500
2003-01-06,11.540000,12.110000,11.540000,11.960000,10.638303,45324400
2003-01-07,11.890000,12.800000,11.760000,12.690000,11.287631,72764800
2003-01-08,12.570000,12.650000,12.070000,12.120000,10.780618,53623200
2003-01-09,12.460000,13.180000,12.400000,13.010000,11.572268,71178800
2003-01-10,12.660000,13.250000,12.490000,13.070000,11.625636,52033600
2003-01-13,13.300000,13.360000,12.830000,12.930000,11.501109,40588200
2003-01-14,12.880000,13.200000,12.800000,13.110000,11.661217,39310400
2003-01-15,13.150000,13.240000,12.460000,12.530000,11.145312,41972100
2003-01-16,12.510000,12.800000,12.100000,12.170000,10.825096,50428400
2003-01-17,11.680000,11.740000,11.420000,11.440000,10.175767,55319200
2003-01-21,11.590000,11.920000,11.470000,11.570000,10.291402,36345400
2003-01-22,11.590000,12.140000,11.450000,11.620000,10.335875,45273300
2003-01-23,12.050000,12.590000,11.890000,12.460000,11.083047,46467100
2003-01-24,12.410000,12.440000,11.670000,11.770000,10.469296,45555000
2003-01-27,11.800000,12.060000,11.600000,11.930000,10.611618,44095200
2003-01-28,12.150000,12.160000,11.710000,11.970000,10.647197,36313900
2003-01-29,11.780000,12.190000,11.550000,12.020000,10.691673,36287500
2003-01-30,12.080000,12.480000,11.690000,11.750000,10.451510,38272500
2003-01-31,11.590000,12.180000,11.500000,12.030000,10.700568,48082000
2003-02-03,12.010000,12.140000,11.890000,12.010000,10.682778,30451300
2003-02-04,11.850000,12.130000,11.520000,11.730000,10.433721,47845200
2003-02-05,11.880000,12.040000,11.500000,11.520000,10.246928,41316900
2003-02-06,11.510000,11.720000,11.330000,11.530000,10.255820,39066500
2003-02-07,11.740000,11.900000,11.260000,11.340000,10.086818,43943700
2003-02-10,11.410000,11.800000,11.380000,11.750000,10.451510,33763500
2003-02-11,11.840000,12.140000,11.720000,11.910000,10.593827,46126300
2003-02-12,11.820000,11.950000,11.490000,11.500000,10.229136,39650300
2003-02-13,11.560000,11.690000,11.350000,11.540000,10.264715,34557500
2003-02-14,11.560000,11.920000,11.350000,11.700000,10.407034,41473100
2003-02-18,11.900000,12.440000,11.790000,12.420000,11.047471,40391400
2003-02-19,12.330000,12.370000,12.120000,12.320000,10.958520,34828800
2003-02-20,12.390000,12.470000,12.230000,12.310000,10.949624,31167700
2003-02-21,12.180000,12.440000,11.870000,12.390000,11.020787,44233400
2003-02-24,12.190000,12.450000,11.810000,11.820000,10.513773,45766300
2003-02-25,11.640000,12.010000,11.480000,11.940000,10.620513,47223800
2003-02-26,11.910000,12.100000,11.670000,11.720000,10.424827,40775700
2003-02-27,11.910000,12.090000,11.730000,11.890000,10.576039,36829700
2003-02-28,11.890000,12.140000,11.830000,11.960000,10.638303,35480000
2003-03-03,12.200000,12.200000,11.640000,11.690000,10.398142,34375200
2003-03-04,11.740000,11.860000,11.550000,11.630000,10.344773,37421000
2003-03-05,11.380000,11.410000,10.990000,11.170000,9.935604,64571400
2003-03-06,11.180000,11.350000,11.020000,11.160000,9.926711,37140800
2003-03-07,10.940000,11.300000,10.840000,11.060000,9.837760,44083500
2003-03-10,10.820000,11.000000,10.670000,10.760000,9.570913,30568300
2003-03-11,10.810000,10.960000,10.650000,10.680000,9.499754,36460600
2003-03-12,10.650000,11.060000,10.640000,11.000000,9.784389,41539800
2003-03-13,11.310000,11.940000,11.190000,11.900000,10.584934,57891600
2003-03-14,11.890000,12.050000,11.650000,11.940000,10.620513,51565800
2003-03-17,11.710000,12.450000,11.600000,12.350000,10.985206,56316800
2003-03-18,12.370000,12.450000,12.060000,12.250000,10.896253,58587300
2003-03-19,11.650000,11.830000,11.100000,11.310000,10.060135,123560800
2003-03-20,11.430000,11.600000,11.110000,11.500000,10.229136,55821400
2003-03-21,11.690000,11.830000,11.270000,11.350000,10.095716,65517600
2003-03-24,11.140000,11.300000,10.990000,11.030000,9.811075,42180200
2003-03-25,11.190000,11.490000,11.070000,11.300000,10.051239,41673400
2003-03-26,11.340000,11.580000,11.250000,11.440000,10.175767,38346100
2003-03-27,11.300000,11.510000,11.230000,11.360000,10.104609,29790500
2003-03-28,11.250000,11.390000,11.100000,11.100000,9.873343,27751300
2003-03-31,10.830000,11.090000,10.820000,10.850000,9.650972,44908800
2003-04-01,10.880000,10.910000,10.650000,10.760000,9.570913,50467600
2003-04-02,11.060000,11.560000,10.900000,11.460000,10.193557,48276800
2003-04-03,11.820000,11.860000,11.540000,11.620000,10.335875,44264100
2003-04-04,11.660000,11.740000,11.000000,11.370000,10.113503,34937000
2003-04-07,11.900000,12.510000,11.680000,11.710000,10.415929,45510400
2003-04-08,11.670000,11.740000,11.480000,11.500000,10.229136,34791300
2003-04-09,11.620000,11.640000,11.160000,11.170000,9.935604,39120000
2003-04-10,11.190000,11.450000,11.070000,11.370000,10.113503,31242200
2003-04-11,11.520000,11.690000,11.200000,11.290000,10.042344,27457400
2003-04-14,11.330000,11.710000,11.230000,11.660000,10.371456,28588700
2003-04-15,11.530000,11.750000,11.460000,11.540000,10.264715,33429700
2003-04-16,11.760000,11.950000,11.560000,11.580000,10.300299,41489400
2003-04-17,11.550000,12.010000,11.460000,12.000000,10.673881,35670800
2003-04-21,11.980000,12.190000,11.800000,11.840000,10.531563,29742500
2003-04-22,11.790000,12.190000,11.700000,12.130000,10.789515,33697200
2003-04-23,11.930000,12.080000,11.870000,12.000000,10.673881,30255100
2003-04-24,11.830000,12.090000,11.760000,12.030000,10.700568,31261600
2003-04-25,11.960000,12.020000,11.770000,11.790000,10.487089,26159300
2003-04-28,11.800000,12.040000,11.660000,11.970000,10.647197,29737500
2003-04-29,11.950000,12.200000,11.930000,12.020000,10.691673,31540200
2003-04-30,11.960000,12.030000,11.810000,11.880000,10.567142,40601500
2003-05-01,11.850000,11.990000,11.740000,11.920000,10.602724,26984400
2003-05-02,11.790000,12.240000,11.790000,12.200000,10.851779,35190700
2003-05-05,12.190000,12.300000,12.060000,12.080000,10.745041,34043100
2003-05-06,11.980000,12.550000,11.930000,12.410000,11.038571,44153800
2003-05-07,12.360000,12.550000,12.140000,12.190000,10.842883,45258000
2003-05-08,12.000000,12.360000,12.000000,12.100000,10.762835,34438600
2003-05-09,12.240000,12.500000,12.200000,12.420000,11.047471,33759800
2003-05-12,12.290000,12.530000,12.200000,12.460000,11.083047,33784200
2003-05-13,12.360000,12.650000,12.320000,12.420000,11.047471,34690400
2003-05-14,12.600000,12.640000,12.340000,12.530000,11.145312,34511800
2003-05-15,12.600000,13.010000,12.560000,12.910000,11.483317,45269100
2003-05-16,12.910000,13.000000,12.470000,12.560000,11.172000,34563400
2003-05-19,12.450000,12.620000,12.100000,12.170000,10.825096,32926600
2003-05-20,12.210000,12.280000,12.010000,12.160000,10.816200,33688700
2003-05-21,12.120000,12.220000,11.970000,12.100000,10.762835,35936400
2003-05-22,12.130000,12.410000,12.120000,12.300000,10.940730,26953500
2003-05-23,12.220000,12.300000,12.060000,12.100000,10.762835,25251500
2003-05-27,12.030000,12.740000,11.980000,12.650000,11.252048,35590200
2003-05-28,12.810000,13.400000,12.700000,13.260000,11.794641,78128000
2003-05-29,13.070000,13.280000,12.810000,12.830000,11.412163,50293400
2003-05-30,12.950000,13.250000,12.890000,13.010000,11.572268,43628800
2003-06-02,13.210000,13.250000,12.760000,12.800000,11.385474,41425900
2003-06-03,12.860000,13.160000,12.760000,13.020000,11.581161,33190800
2003-06-04,13.110000,13.700000,13.000000,13.580000,12.079280,53947300
2003-06-05,13.400000,13.570000,13.280000,13.360000,11.883589,37461900
2003-06-06,13.640000,13.950000,12.950000,13.090000,11.643428,102963900
2003-06-09,13.130000,13.250000,12.710000,12.860000,11.438843,51279400
2003-06-10,13.050000,13.090000,12.860000,13.020000,11.581161,40820000
2003-06-11,13.210000,13.420000,13.030000,13.270000,11.803535,41013300
2003-06-12,13.400000,13.480000,13.100000,13.330000,11.856905,40907500
2003-06-13,13.920000,14.000000,13.360000,13.480000,11.990325,81322400
2003-06-16,13.620000,13.900000,13.300000,13.650000,12.141539,31357300
2003-06-17,13.740000,13.770000,13.280000,13.350000,11.874691,36730100
2003-06-18,13.290000,13.540000,13.260000,13.420000,11.936957,49885300
2003-06-19,13.350000,13.510000,13.260000,13.340000,11.865800,39496600
2003-06-20,13.520000,13.610000,12.860000,12.930000,11.501109,51764300
2003-06-23,12.950000,13.050000,12.650000,12.770000,11.358789,30410900
2003-06-24,12.860000,13.010000,12.600000,12.650000,11.252048,30663200
2003-06-25,12.650000,12.810000,12.350000,12.380000,11.011891,26269000
2003-06-26,12.520000,12.610000,12.150000,12.520000,11.136417,30859200
2003-06-27,12.550000,12.690000,12.240000,12.430000,11.056364,29954600
2003-06-30,12.490000,12.550000,12.000000,12.010000,10.682778,42454900
2003-07-01,12.040000,12.380000,11.740000,12.330000,10.967413,45514700
2003-07-02,12.480000,12.750000,12.320000,12.450000,11.074152,40358900
2003-07-03,12.330000,12.520000,12.120000,12.180000,10.833991,15602700
2003-07-07,12.360000,12.760000,12.290000,12.570000,11.180889,29498700
2003-07-08,12.600000,12.880000,12.550000,12.730000,11.323209,43898700
2003-07-09,12.920000,13.050000,12.600000,12.670000,11.269840,33649900
2003-07-10,12.510000,12.740000,12.410000,12.600000,11.207576,41053100
2003-07-11,12.600000,12.880000,12.580000,12.840000,11.421054,30605400
2003-07-14,12.940000,13.090000,12.530000,12.640000,11.243156,28583900
2003-07-15,12.850000,12.890000,12.540000,12.630000,11.234262,34859600
2003-07-16,12.690000,12.710000,12.300000,12.410000,11.038571,30646000
2003-07-17,12.220000,12.310000,12.030000,12.090000,10.753934,29515500
2003-07-18,12.100000,12.160000,11.990000,12.080000,10.745041,24285200
2003-07-21,12.060000,12.110000,11.590000,11.690000,10.398142,36377800
2003-07-22,11.900000,12.250000,11.820000,12.070000,10.736146,43591000
2003-07-23,12.190000,12.210000,11.830000,12.100000,10.762835,27594900
2003-07-24,12.210000,12.360000,11.650000,11.680000,10.389247,42418200
2003-07-25,11.740000,12.130000,11.600000,12.100000,10.762835,29301700
2003-07-28,12.170000,12.240000,11.800000,11.880000,10.567142,35409100
2003-07-29,11.950000,12.060000,11.690000,11.920000,10.602724,30663400
2003-07-30,12.020000,12.060000,11.810000,11.880000,10.567142,27817400
2003-07-31,12.080000,12.310000,11.880000,11.990000,10.664987,34629900
2003-08-01,11.900000,11.990000,11.730000,11.820000,10.513773,29348000
2003-08-04,11.880000,12.000000,11.670000,11.860000,10.549355,27503500
2003-08-05,11.820000,11.960000,11.620000,11.640000,10.353663,30777600
2003-08-06,11.560000,11.640000,11.430000,11.450000,10.184662,44154700
2003-08-07,11.460000,11.530000,11.180000,11.390000,10.131290,30669300
2003-08-08,11.490000,11.510000,11.170000,11.290000,10.042344,25653500
2003-08-11,11.780000,11.900000,11.600000,11.680000,10.389247,51264000
2003-08-12,11.860000,12.160000,11.810000,12.160000,10.816200,48958700
2003-08-13,12.390000,12.390000,11.800000,11.900000,10.584934,68194900
2003-08-14,11.980000,12.200000,11.880000,12.120000,10.780618,29768000
2003-08-15,12.090000,12.140000,11.960000,12.080000,10.745041,12464200
2003-08-18,12.160000,12.200000,12.090000,12.180000,10.833991,28071100
2003-08-19,12.290000,12.320000,11.980000,12.150000,10.807303,40467800
2003-08-20,12.050000,12.160000,11.960000,12.120000,10.780618,23000600
2003-08-21,12.230000,12.320000,12.050000,12.160000,10.816200,36844900
2003-08-22,12.240000,12.500000,12.150000,12.300000,10.940730,45221100
2003-08-25,12.230000,12.410000,12.190000,12.370000,11.002991,30133800
2003-08-26,12.270000,12.520000,12.030000,12.440000,11.065258,49911800
2003-08-27,12.360000,12.570000,12.310000,12.450000,11.074152,38240700
2003-08-28,12.500000,12.800000,12.480000,12.770000,11.358789,37764900
2003-08-29,12.710000,12.890000,12.640000,12.830000,11.412163,33163800
2003-09-02,12.960000,13.450000,12.940000,13.390000,11.910271,86313000
2003-09-03,13.730000,14.030000,13.580000,13.760000,12.239388,100807000
2003-09-04,13.650000,13.780000,13.510000,13.720000,12.203808,41802700
2003-09-05,13.400000,13.510000,13.000000,13.080000,11.634531,77735500
2003-09-08,13.250000,13.540000,13.230000,13.480000,11.990325,58859800
2003-09-09,13.430000,13.480000,13.260000,13.360000,11.883589,39313700
2003-09-10,13.150000,13.370000,12.790000,12.850000,11.429949,48143700
2003-09-11,13.030000,13.180000,12.860000,12.980000,11.545584,55297300
2003-09-12,12.140000,12.600000,12.050000,12.550000,11.163103,125872200
2003-09-15,12.560000,12.640000,12.380000,12.450000,11.074152,44944600
2003-09-16,12.470000,12.560000,12.410000,12.530000,11.145312,42621000
2003-09-17,12.510000,12.540000,12.220000,12.280000,10.922938,48337000
2003-09-18,12.270000,12.410000,12.140000,12.360000,10.994098,53130900
2003-09-19,12.320000,12.350000,12.070000,12.120000,10.780618,56562500
2003-09-22,12.020000,12.080000,11.870000,11.970000,10.647197,48600400
2003-09-23,12.070000,12.130000,11.970000,12.030000,10.700568,41884000
2003-09-24,12.030000,12.090000,11.600000,11.600000,10.318087,73146100
2003-09-25,11.670000,11.930000,11.530000,11.560000,10.282507,41716800
2003-09-26,11.650000,11.710000,11.390000,11.410000,10.149080,45417900
2003-09-29,11.550000,11.640000,11.360000,11.640000,10.353663,41382800
2003-09-30,11.500000,11.520000,11.210000,11.250000,10.006766,54694100
2003-10-01,11.380000,11.730000,11.350000,11.690000,10.398142,47601100
2003-10-02,11.570000,11.630000,11.370000,11.400000,10.140189,53302900
2003-10-03,11.860000,12.090000,11.710000,11.980000,10.656094,76447800
2003-10-06,12.070000,12.300000,12.040000,12.190000,10.842883,36214900
2003-10-07,12.050000,12.260000,11.960000,12.200000,10.851779,45506900
2003-10-08,12.530000,12.750000,12.380000,12.630000,11.234262,71375900
2003-10-09,12.750000,12.890000,12.310000,12.330000,10.967413,63201300
2003-10-10,12.450000,12.510000,12.290000,12.330000,10.967413,38087200
2003-10-13,12.390000,12.490000,12.210000,12.280000,10.922938,45863300
2003-10-14,12.250000,12.400000,12.160000,12.330000,10.967413,32292100
2003-10-15,12.460000,12.500000,12.030000,12.120000,10.780618,44173200
2003-10-16,12.100000,12.160000,11.860000,11.970000,10.647197,60555300
2003-10-17,11.910000,12.010000,11.680000,11.720000,10.424827,49571700
2003-10-20,11.780000,11.970000,11.760000,11.910000,10.593827,34152800
2003-10-21,12.030000,12.100000,11.920000,11.980000,10.656094,33965400
2003-10-22,11.840000,11.960000,11.700000,11.720000,10.424827,30664800
2003-10-23,11.660000,11.870000,11.600000,11.750000,10.451510,29827900
2003-10-24,11.600000,11.780000,11.520000,11.730000,10.433721,40662500
2003-10-27,11.800000,11.890000,11.610000,11.700000,10.407034,27969800
2003-10-28,11.720000,12.000000,11.550000,11.980000,10.656094,44104200
2003-10-29,11.930000,12.080000,11.760000,11.890000,10.576039,40955000
2003-10-30,12.090000,12.290000,11.920000,12.190000,10.842883,53247200
2003-10-31,12.120000,12.280000,11.960000,11.970000,10.647197,32516500
2003-11-03,12.060000,12.320000,12.020000,12.190000,10.842883,35722600
2003-11-04,12.070000,12.480000,12.040000,12.210000,10.860674,42082700
2003-11-05,12.330000,12.480000,12.190000,12.350000,10.985206,36371900
2003-11-06,12.530000,12.720000,12.200000,12.700000,11.296529,76866900
2003-11-07,12.790000,12.880000,12.430000,12.460000,11.083047,50302100
2003-11-10,12.410000,12.750000,12.350000,12.570000,11.180889,44400800
2003-11-11,12.690000,12.740000,12.400000,12.540000,11.154209,34508000
2003-11-12,12.560000,12.850000,12.540000,12.770000,11.358789,38815500
2003-11-13,12.630000,12.720000,12.460000,12.570000,11.180889,34809000
2003-11-14,12.570000,12.670000,12.270000,12.290000,10.931831,36909100
2003-11-17,12.240000,12.250000,11.980000,12.090000,10.753934,34247700
2003-11-18,12.190000,12.240000,11.780000,11.810000,10.504880,42238700
2003-11-19,11.850000,12.130000,11.790000,12.030000,10.700568,37597900
2003-11-20,11.920000,12.140000,11.770000,11.820000,10.513773,41329600
2003-11-21,11.920000,12.000000,11.750000,11.880000,10.567142,31832800
2003-11-24,12.050000,12.100000,11.920000,12.050000,10.718357,43397800
2003-11-25,12.070000,12.080000,11.860000,11.870000,10.558247,40057100
2003-11-26,12.000000,12.050000,11.860000,12.040000,10.709458,30882000
2003-11-28,12.020000,12.060000,11.980000,12.020000,10.691673,8159500
2003-12-01,12.170000,12.570000,12.160000,12.510000,11.127522,50681500
2003-12-02,12.490000,12.690000,12.350000,12.400000,11.029679,47466000
2003-12-03,12.710000,13.100000,12.650000,12.900000,11.474422,89509200
2003-12-04,12.950000,13.060000,12.820000,12.990000,11.554479,56952500
2003-12-05,12.860000,12.990000,12.710000,12.740000,11.332106,39383800
2003-12-08,12.690000,12.930000,12.640000,12.810000,11.394370,32397300
2003-12-09,12.920000,12.970000,12.510000,12.610000,11.216468,40658700
2003-12-10,12.610000,12.800000,12.600000,12.780000,11.367684,41922500
2003-12-11,12.740000,12.900000,12.720000,12.830000,11.412163,39950200
2003-12-12,12.880000,12.900000,12.690000,12.830000,11.412163,37379900
2003-12-15,13.070000,13.080000,12.650000,12.700000,11.296529,82537400
2003-12-16,12.980000,13.230000,12.750000,13.120000,11.670113,95028600
2003-12-17,13.080000,13.260000,13.050000,13.250000,11.785744,46581000
2003-12-18,13.220000,13.430000,13.200000,13.330000,11.856905,48645300
2003-12-19,13.340000,13.430000,12.980000,13.090000,11.643428,52988700
2003-12-22,12.970000,13.210000,12.920000,13.200000,11.741268,37429800
2003-12-23,13.240000,13.240000,12.980000,13.050000,11.607845,27584700
2003-12-24,12.990000,13.130000,12.950000,12.970000,11.536691,15177900
2003-12-26,12.980000,13.060000,12.950000,13.000000,11.563371,9305200
2003-12-29,12.990000,13.210000,12.960000,13.180000,11.723480,24670600
2003-12-30,13.180000,13.230000,13.050000,13.190000,11.732375,21820800
2003-12-31,13.170000,13.240000,13.050000,13.230000,11.767954,24268300
2004-01-02,13.250000,13.310000,13.110000,13.140000,11.687901,20730800
2004-01-05,13.280000,13.560000,13.260000,13.550000,12.052594,35329600
2004-01-06,13.520000,13.710000,13.400000,13.600000,12.097069,40106000
2004-01-07,13.670000,13.990000,13.590000,13.970000,12.426177,45151100
2004-01-08,13.990000,14.380000,13.750000,14.240000,12.666341,70741300
2004-01-09,14.070000,14.360000,14.000000,14.170000,12.604078,41121800
2004-01-12,14.280000,15.510000,14.240000,14.660000,13.039927,62729400
2004-01-13,14.440000,14.480000,14.040000,14.360000,12.773076,78363800
2004-01-14,14.480000,14.670000,14.390000,14.590000,12.977662,30545500
2004-01-15,14.440000,14.980000,14.440000,14.890000,13.244508,50439200
2004-01-16,14.990000,15.030000,14.670000,14.850000,13.208930,46809800
2004-01-20,14.910000,14.970000,14.560000,14.710000,13.084402,40751300
2004-01-21,14.630000,14.920000,14.510000,14.710000,13.084402,36834500
2004-01-22,14.790000,14.910000,14.420000,14.530000,12.924294,34476800
2004-01-23,14.550000,14.670000,14.350000,14.540000,12.933187,28790500
2004-01-26,14.460000,14.540000,14.280000,14.470000,12.870920,33787100
2004-01-27,14.420000,14.680000,14.180000,14.200000,12.630759,32503900
2004-01-28,14.310000,14.400000,13.860000,13.940000,12.399492,44593900
2004-01-29,14.050000,14.220000,13.730000,14.190000,12.621868,50196100
2004-01-30,14.110000,14.300000,13.780000,13.860000,12.328335,45136500
2004-02-02,13.760000,13.900000,13.510000,13.640000,12.132647,42162300
2004-02-03,13.570000,13.990000,13.520000,13.910000,12.372808,32484300
2004-02-04,13.190000,13.690000,13.120000,13.270000,11.803535,47107800
2004-02-05,13.440000,13.770000,13.320000,13.560000,12.061490,39729800
2004-02-06,13.580000,13.760000,13.360000,13.420000,11.936957,41298900
2004-02-09,13.540000,13.630000,13.250000,13.280000,11.812428,33219100
2004-02-10,13.270000,13.530000,13.260000,13.390000,11.910271,30386400
2004-02-11,13.530000,13.790000,13.330000,13.700000,12.186015,38713100
2004-02-12,13.620000,13.850000,13.510000,13.720000,12.203808,27981100
2004-02-13,13.780000,14.100000,13.660000,13.790000,12.266070,41834100
2004-02-17,13.910000,13.980000,13.730000,13.760000,12.239388,21836800
2004-02-18,13.880000,14.160000,13.710000,14.060000,12.506234,38796400
2004-02-19,14.180000,14.210000,13.770000,13.800000,12.274967,29936900
2004-02-20,13.960000,13.970000,13.540000,13.710000,12.194913,27880000
2004-02-23,13.680000,13.720000,13.220000,13.340000,11.865800,30737700
2004-02-24,13.280000,13.360000,13.040000,13.260000,11.794641,56492900
2004-02-25,13.290000,13.340000,13.080000,13.190000,11.732375,35990900
2004-02-26,13.100000,13.500000,12.860000,13.280000,11.812428,45428900
2004-02-27,13.300000,13.370000,12.860000,12.870000,11.447742,44508600
2004-03-01,13.110000,13.170000,12.880000,13.080000,11.634531,46943200
2004-03-02,13.130000,13.280000,12.950000,12.980000,11.545584,39962100
2004-03-03,12.910000,13.140000,12.890000,13.010000,11.572268,29869200
2004-03-04,12.920000,13.100000,12.890000,13.000000,11.563371,32745100
2004-03-05,12.870000,13.100000,12.710000,12.710000,11.305421,59897400
2004-03-08,12.860000,12.880000,12.320000,12.360000,10.994098,59836100
2004-03-09,12.350000,12.480000,12.130000,12.310000,10.949624,59151200
2004-03-10,12.400000,12.620000,12.310000,12.410000,11.038571,73298000
2004-03-11,12.340000,12.600000,12.170000,12.250000,10.896253,88238400
2004-03-12,12.490000,12.500000,11.950000,12.060000,10.727255,109858800
2004-03-15,12.030000,12.050000,11.580000,11.660000,10.371456,71864700
2004-03-16,11.790000,11.890000,11.370000,11.700000,10.407034,84172400
2004-03-17,11.850000,11.930000,11.680000,11.850000,10.540460,59616200
2004-03-18,11.800000,11.830000,11.560000,11.610000,10.326982,59118700
2004-03-19,11.600000,11.780000,11.490000,11.500000,10.229136,47572800
2004-03-22,11.380000,11.450000,11.150000,11.340000,10.086818,54723000
2004-03-23,11.450000,11.630000,11.300000,11.400000,10.140189,62015900
2004-03-24,11.480000,11.690000,11.300000,11.530000,10.255820,43124500
2004-03-25,11.650000,12.030000,11.630000,11.940000,10.620513,61981700
2004-03-26,11.930000,12.150000,11.900000,11.920000,10.602724,47907200
2004-03-29,12.040000,12.120000,11.960000,12.080000,10.745041,39093100
2004-03-30,11.970000,12.130000,11.840000,12.080000,10.745041,49915300
2004-03-31,12.100000,12.160000,11.950000,12.000000,10.673881,48584200
2004-04-01,11.990000,12.360000,11.960000,12.290000,10.931831,60501700
2004-04-02,12.620000,12.650000,12.400000,12.580000,11.189787,48908400
2004-04-05,12.600000,12.860000,12.550000,12.770000,11.358789,48809700
2004-04-06,12.650000,12.740000,12.420000,12.460000,11.083047,36671400
2004-04-07,12.430000,12.460000,12.220000,12.350000,10.985206,45873800
2004-04-08,12.540000,12.580000,12.300000,12.380000,11.011891,25128300
2004-04-12,12.340000,12.570000,12.320000,12.410000,11.038571,37987000
2004-04-13,12.430000,12.450000,12.230000,12.310000,10.949624,34207400
2004-04-14,12.220000,12.470000,12.210000,12.370000,11.002991,40484800
2004-04-15,12.420000,12.420000,11.980000,12.080000,10.745041,41139700
2004-04-16,12.170000,12.220000,11.910000,11.990000,10.664987,37456900
2004-04-19,12.050000,12.320000,11.970000,12.320000,10.958520,39837500
2004-04-20,12.290000,12.430000,11.990000,12.000000,10.673881,46891200
2004-04-21,11.990000,12.150000,11.870000,12.070000,10.736146,39061300
2004-04-22,11.980000,12.500000,11.950000,12.370000,11.002991,47915400
2004-04-23,12.470000,12.580000,12.350000,12.530000,11.145312,38928500
2004-04-26,12.480000,12.560000,12.200000,12.310000,10.949624,35321200
2004-04-27,12.270000,12.400000,12.100000,12.150000,10.807303,38910400
2004-04-28,12.080000,12.220000,11.770000,11.900000,10.584934,38196000
2004-04-29,11.870000,11.890000,11.340000,11.430000,10.166874,86524700
2004-04-30,11.500000,11.550000,11.220000,11.250000,10.006766,61729600
2004-05-03,11.360000,11.520000,11.200000,11.330000,10.077927,47395000
2004-05-04,11.260000,11.530000,11.170000,11.350000,10.095716,66183600
2004-05-05,11.380000,11.600000,11.350000,11.350000,10.095716,29772000
2004-05-06,11.260000,11.700000,11.250000,11.490000,10.220240,44245700
2004-05-07,11.470000,11.680000,11.400000,11.400000,10.140189,39423200
2004-05-10,11.260000,11.450000,11.260000,11.400000,10.140189,36486800
2004-05-11,11.510000,11.670000,11.430000,11.670000,10.380351,36158300
2004-05-12,11.550000,11.660000,11.350000,11.590000,10.309194,42703600
2004-05-13,11.520000,11.850000,11.500000,11.800000,10.495983,34109400
2004-05-14,11.740000,11.780000,11.460000,11.600000,10.318087,33566500
2004-05-17,11.400000,11.500000,11.300000,11.360000,10.104609,49025700
2004-05-18,11.430000,11.530000,11.370000,11.370000,10.113503,26005300
2004-05-19,11.480000,11.590000,11.290000,11.290000,10.042344,39327800
2004-05-20,11.380000,11.380000,11.150000,11.230000,9.988976,35553700
2004-05-21,11.320000,11.390000,11.180000,11.230000,9.988976,38074300
2004-05-24,11.320000,11.430000,11.280000,11.360000,10.104609,30700600
2004-05-25,11.310000,11.520000,11.180000,11.500000,10.229136,44651300
2004-05-26,11.450000,11.500000,11.280000,11.480000,10.211349,32837400
2004-05-27,11.490000,11.620000,11.370000,11.480000,10.211349,40369500
2004-05-28,11.420000,11.490000,11.320000,11.400000,10.140189,30497100
2004-06-01,11.240000,11.310000,11.050000,11.120000,9.891130,42016100
2004-06-02,11.220000,11.260000,11.080000,11.150000,9.917816,39112300
2004-06-03,11.160000,11.210000,10.850000,10.970000,9.757706,53652200
2004-06-04,11.090000,11.180000,11.010000,11.040000,9.819971,48278700
2004-06-07,11.180000,11.420000,11.130000,11.420000,10.157976,43849600
2004-06-08,11.420000,11.610000,11.340000,11.590000,10.309194,49357800
2004-06-09,11.590000,11.720000,11.500000,11.540000,10.264715,47534000
2004-06-10,11.570000,11.720000,11.530000,11.710000,10.415929,42342500
2004-06-14,11.620000,11.660000,11.450000,11.550000,10.273612,41450900
2004-06-15,11.630000,11.860000,11.610000,11.710000,10.415929,62721200
2004-06-16,11.360000,11.430000,11.230000,11.350000,10.095716,80914200
2004-06-17,11.270000,11.320000,11.120000,11.140000,9.908919,41264700
2004-06-18,11.100000,11.350000,11.050000,11.140000,9.908919,62933800
2004-06-21,11.130000,11.210000,11.110000,11.150000,9.917816,38332300
2004-06-22,11.110000,11.190000,11.050000,11.120000,9.891130,55112100
2004-06-23,11.090000,11.210000,11.080000,11.150000,9.917816,45101400
2004-06-24,11.160000,11.570000,11.140000,11.500000,10.229136,70678600
2004-06-25,11.560000,11.960000,11.510000,11.800000,10.495983,88673100
2004-06-28,11.780000,11.850000,11.600000,11.630000,10.344773,47118600
2004-06-29,11.620000,11.860000,11.580000,11.770000,10.469296,39040900
2004-06-30,11.760000,12.070000,11.640000,11.930000,10.611618,62400000
2004-07-01,11.850000,11.960000,11.610000,11.810000,10.504880,61520000
2004-07-02,11.750000,11.820000,11.620000,11.650000,10.362561,32076700
2004-07-06,11.550000,11.600000,11.140000,11.200000,9.962291,61782900
2004-07-07,11.150000,11.320000,11.130000,11.200000,9.962291,50583800
2004-07-08,11.140000,11.150000,10.860000,10.920000,9.713232,71465200
2004-07-09,11.030000,11.250000,10.980000,11.030000,9.811075,47046600
2004-07-12,11.070000,11.230000,11.010000,11.090000,9.864447,37216900
2004-07-13,11.140000,11.150000,11.000000,11.000000,9.784389,39466700
2004-07-14,10.950000,11.010000,10.680000,10.790000,9.597600,79172000
2004-07-15,10.970000,11.000000,10.690000,10.720000,9.535335,72403300
2004-07-16,10.840000,10.870000,10.210000,10.220000,9.090592,100621100
2004-07-19,10.380000,10.480000,10.290000,10.330000,9.188433,54154100
2004-07-20,10.380000,10.540000,10.270000,10.500000,9.339647,45273400
2004-07-21,10.550000,10.810000,10.330000,10.350000,9.206223,67054800
2004-07-22,10.360000,10.460000,10.120000,10.360000,9.215117,34995200
2004-07-23,10.280000,10.310000,10.030000,10.100000,8.983853,36626900
2004-07-26,10.120000,10.270000,10.030000,10.080000,8.966062,42494100
2004-07-27,10.110000,10.490000,10.100000,10.380000,9.232909,44267700
2004-07-28,10.310000,10.370000,10.050000,10.250000,9.117275,45714900
2004-07-29,10.340000,10.500000,10.270000,10.380000,9.232909,41100200
2004-07-30,10.390000,10.520000,10.350000,10.510000,9.348543,31709700
2004-08-02,10.370000,10.670000,10.330000,10.670000,9.490860,40242900
2004-08-03,10.570000,10.680000,10.520000,10.560000,9.393018,44096400
2004-08-04,10.560000,10.970000,10.520000,10.840000,9.642075,51684300
2004-08-05,10.830000,10.850000,10.540000,10.640000,9.464179,46577100
2004-08-06,10.430000,10.540000,10.190000,10.190000,9.063905,38588500
2004-08-09,10.300000,10.470000,10.200000,10.370000,9.224017,31533900
2004-08-10,10.450000,10.610000,10.310000,10.600000,9.428595,31955300
2004-08-11,10.390000,10.420000,10.090000,10.190000,9.063905,43650500
2004-08-12,10.090000,10.200000,9.780000,9.900000,8.805953,56499100
2004-08-13,9.950000,10.280000,9.930000,10.250000,9.117275,46512000
2004-08-16,10.250000,10.420000,10.200000,10.250000,9.117275,32335500
2004-08-17,10.290000,10.430000,10.120000,10.280000,9.143956,40834000
2004-08-18,10.140000,10.530000,10.120000,10.510000,9.348543,40961900
2004-08-19,10.440000,10.490000,10.340000,10.420000,9.268490,32090200
2004-08-20,10.390000,10.430000,10.300000,10.310000,9.170645,24015500
2004-08-23,10.330000,10.390000,10.220000,10.300000,9.161748,27130700
2004-08-24,10.330000,10.360000,10.150000,10.330000,9.188433,38644600
2004-08-25,10.350000,10.440000,10.260000,10.400000,9.250698,29812200
2004-08-26,10.370000,10.420000,10.210000,10.230000,9.099482,27281500
2004-08-27,10.240000,10.340000,10.230000,10.290000,9.152852,20328400
2004-08-30,10.200000,10.240000,10.080000,10.110000,8.992745,33704600
2004-08-31,10.110000,10.140000,9.820000,9.970000,8.868216,37907800
2004-09-01,9.960000,10.110000,9.940000,10.050000,8.939380,28920000
2004-09-02,10.070000,10.350000,9.970000,10.290000,9.152852,40370000
2004-09-03,10.200000,10.290000,9.970000,10.030000,8.921587,33742000
2004-09-07,10.170000,10.220000,9.980000,10.080000,8.966062,31732100
2004-09-08,9.940000,10.030000,9.860000,9.860000,8.770370,47062500
2004-09-09,9.980000,10.020000,9.900000,9.930000,8.832635,44902800
2004-09-10,10.120000,10.500000,10.040000,10.460000,9.304066,66209200
2004-09-13,10.550000,10.700000,10.510000,10.620000,9.446383,52492300
2004-09-14,10.640000,10.690000,10.460000,10.550000,9.384121,72170200
2004-09-15,11.090000,11.410000,11.030000,11.330000,10.077927,135089500
2004-09-16,11.250000,11.400000,11.170000,11.230000,9.988976,57893500
2004-09-17,11.250000,11.580000,11.230000,11.510000,10.238035,59258000
2004-09-20,11.350000,11.550000,11.310000,11.400000,10.140189,40527500
2004-09-21,11.670000,11.680000,11.340000,11.410000,10.149080,44463000
2004-09-22,11.280000,11.390000,11.100000,11.140000,9.908919,55341300
2004-09-23,11.160000,11.240000,11.020000,11.050000,9.828863,40709000
2004-09-24,11.120000,11.210000,11.010000,11.040000,9.819971,30796100
2004-09-27,10.980000,11.280000,10.930000,11.190000,9.953397,40616600
2004-09-28,11.240000,11.360000,11.090000,11.360000,10.104609,45610200
2004-09-29,11.340000,11.520000,11.280000,11.430000,10.166874,41868100
2004-09-30,11.420000,11.450000,11.240000,11.280000,10.033448,49604900
2004-10-01,11.650000,11.950000,11.510000,11.900000,10.584934,69604100
2004-10-04,12.100000,12.180000,11.830000,11.870000,10.558247,66003300
2004-10-05,11.840000,12.210000,11.830000,12.210000,10.860674,46999300
2004-10-06,12.140000,12.260000,12.060000,12.240000,10.887359,44461400
2004-10-07,12.210000,12.420000,12.190000,12.290000,10.931831,50909000
2004-10-08,12.170000,12.470000,12.020000,12.170000,10.825096,45517700
2004-10-11,12.170000,12.270000,12.080000,12.200000,10.851779,25741700
2004-10-12,12.030000,12.230000,11.980000,12.150000,10.807303,35379900
2004-10-13,12.150000,12.170000,11.930000,11.990000,10.664987,40599700
2004-10-14,11.930000,12.110000,11.920000,12.000000,10.673881,28269600
2004-10-15,12.040000,12.250000,12.000000,12.240000,10.887359,41393100
2004-10-18,12.150000,12.460000,12.100000,12.420000,11.047471,33181100
2004-10-19,12.450000,12.540000,12.310000,12.310000,10.949624,44047000
2004-10-20,12.240000,12.420000,12.180000,12.420000,11.047471,35207600
2004-10-21,12.440000,12.470000,12.280000,12.440000,11.065258,40699800
2004-10-22,12.430000,12.480000,12.190000,12.310000,10.949624,33118300
2004-10-25,12.260000,12.330000,12.050000,12.130000,10.789515,33386800
2004-10-26,12.160000,12.300000,12.110000,12.270000,10.914046,33466400
2004-10-27,12.160000,12.720000,12.150000,12.590000,11.198681,43334500
2004-10-28,12.480000,12.770000,12.210000,12.740000,11.332106,31068300
2004-10-29,12.810000,12.810000,12.550000,12.660000,11.260947,34619900
2004-11-01,12.720000,12.870000,12.550000,12.750000,11.341000,27994800
2004-11-02,12.760000,13.000000,12.680000,12.800000,11.385474,40570200
2004-11-03,12.950000,13.000000,12.720000,12.830000,11.412163,33987500
2004-11-04,12.850000,13.140000,12.830000,13.100000,11.652321,37692700
2004-11-05,13.120000,13.280000,13.080000,13.170000,11.714587,34605000
2004-11-08,13.070000,13.200000,13.010000,13.110000,11.661217,21120600
2004-11-09,13.090000,13.380000,13.070000,13.350000,11.874691,32825300
2004-11-10,13.340000,13.500000,13.290000,13.380000,11.901380,40553300
2004-11-11,13.230000,13.280000,12.780000,13.140000,11.687901,48867000
2004-11-12,13.010000,13.400000,12.970000,13.390000,11.910271,41742700
2004-11-15,13.300000,13.310000,12.970000,13.010000,11.572268,35834100
2004-11-16,12.970000,13.040000,12.870000,12.920000,11.492210,29547200
2004-11-17,12.990000,13.210000,12.950000,13.130000,11.679008,28451100
2004-11-18,13.110000,13.150000,12.950000,12.970000,11.536691,25803100
2004-11-19,13.070000,13.160000,12.690000,12.750000,11.341000,30991800
2004-11-22,12.670000,12.750000,12.510000,12.680000,11.278737,41035900
2004-11-23,12.600000,12.810000,12.510000,12.700000,11.296529,27711900
2004-11-24,12.740000,12.860000,12.710000,12.790000,11.376582,19122000
2004-11-26,12.780000,12.790000,12.640000,12.660000,11.260947,9101000
2004-11-29,12.630000,12.790000,12.580000,12.680000,11.278737,32675200
2004-11-30,12.640000,12.810000,12.620000,12.740000,11.332106,32502200
2004-12-01,12.750000,13.090000,12.660000,13.090000,11.643428,46113400
2004-12-02,12.900000,13.070000,12.820000,12.950000,11.518897,27804600
2004-12-03,12.840000,13.110000,12.740000,13.030000,11.590058,69334000
2004-12-06,12.980000,13.510000,12.960000,13.340000,11.865800,55786100
2004-12-07,13.360000,13.570000,13.020000,13.060000,11.616741,41045600
2004-12-08,13.140000,13.420000,13.090000,13.210000,11.750168,39890300
2004-12-09,13.060000,13.400000,13.010000,13.290000,11.821325,35971400
2004-12-10,13.160000,13.450000,13.140000,13.280000,11.812428,32027500
2004-12-13,14.210000,14.870000,13.750000,14.630000,13.013240,181316700
2004-12-14,14.460000,14.610000,14.180000,14.230000,12.657444,78544300
2004-12-15,14.140000,14.180000,13.920000,14.090000,12.532915,73641400
2004-12-16,14.000000,14.170000,13.980000,14.090000,12.532915,53533600
2004-12-17,14.000000,14.170000,13.920000,13.980000,12.435071,62424100
2004-12-20,14.000000,14.100000,13.550000,13.580000,12.079280,53505200
2004-12-21,13.530000,13.900000,13.530000,13.790000,12.266070,50640900
2004-12-22,13.800000,13.900000,13.650000,13.700000,12.186015,35878500
2004-12-23,13.640000,13.780000,13.600000,13.640000,12.132647,20796300
2004-12-27,13.720000,13.780000,13.610000,13.650000,12.141539,28715500
2004-12-28,13.600000,13.890000,13.580000,13.840000,12.310545,34572700
2004-12-29,13.730000,13.870000,13.660000,13.720000,12.203808,42544900
2004-12-30,13.680000,13.940000,13.660000,13.880000,12.346124,37261100
2004-12-31,13.860000,14.030000,13.680000,13.720000,12.203808,43515400
2005-01-03,13.880000,13.890000,13.390000,13.410000,11.928063,60319300
2005-01-04,13.460000,13.480000,12.920000,13.060000,11.616741,80906400
2005-01-05,13.030000,13.260000,13.010000,13.100000,11.652321,42548400
2005-01-06,13.130000,13.350000,13.080000,13.220000,11.759061,55580100
2005-01-07,13.340000,13.450000,13.150000,13.330000,11.856905,45685800
2005-01-10,13.320000,13.450000,13.170000,13.190000,11.732375,47571800
2005-01-11,13.090000,13.390000,13.060000,13.200000,11.741268,63973000
2005-01-12,13.260000,13.490000,13.240000,13.480000,11.990325,53420800
2005-01-13,13.380000,13.670000,13.340000,13.480000,11.990325,56987700
2005-01-14,13.560000,13.760000,13.490000,13.630000,12.123753,42509100
2005-01-18,13.590000,13.900000,13.520000,13.780000,12.257174,60758900
2005-01-19,13.660000,13.800000,13.450000,13.470000,11.981432,51115100
2005-01-20,13.440000,13.680000,13.280000,13.280000,11.812428,45253200
2005-01-21,13.350000,13.490000,13.280000,13.310000,11.839114,40716100
2005-01-24,13.360000,13.500000,13.210000,13.240000,11.776849,37540700
2005-01-25,13.490000,13.740000,13.460000,13.590000,12.088172,48682500
2005-01-26,13.960000,14.010000,13.610000,13.620000,12.114855,78543500
2005-01-27,13.670000,13.980000,13.500000,13.970000,12.426177,61917900
2005-01-28,13.910000,13.950000,13.550000,13.680000,12.168226,47465300
2005-01-31,13.770000,13.890000,13.630000,13.770000,12.248281,38555200
2005-02-01,13.730000,13.760000,13.580000,13.650000,12.141539,43567600
2005-02-02,13.670000,13.700000,13.450000,13.560000,12.061490,42057200
2005-02-03,13.470000,13.550000,13.280000,13.340000,11.865800,39310700
2005-02-04,13.310000,13.700000,13.300000,13.660000,12.150435,35832700
2005-02-07,13.570000,13.610000,13.410000,13.550000,12.052594,43465100
2005-02-08,13.550000,13.600000,13.460000,13.470000,11.981432,28869900
2005-02-09,13.410000,13.480000,13.150000,13.170000,11.714587,42305100
2005-02-10,13.210000,13.240000,13.020000,13.140000,11.687901,41274700
2005-02-11,13.110000,13.390000,13.010000,13.350000,11.874691,50626000
2005-02-14,13.260000,13.380000,13.230000,13.310000,11.839114,34744600
2005-02-15,13.340000,13.460000,13.260000,13.290000,11.821325,43226900
2005-02-16,13.240000,13.460000,13.230000,13.330000,11.856905,28360700
2005-02-17,13.300000,13.380000,12.890000,12.960000,11.527794,44724400
2005-02-18,12.970000,12.990000,12.840000,12.940000,11.510002,34769400
2005-02-22,12.760000,12.870000,12.640000,12.660000,11.260947,50815200
2005-02-23,12.730000,12.990000,12.590000,12.950000,11.518897,40930600
2005-02-24,12.840000,13.120000,12.830000,13.010000,11.572268,39114400
2005-02-25,13.040000,13.140000,12.960000,13.130000,11.679008,29254000
2005-02-28,13.080000,13.250000,12.910000,12.950000,11.518897,37646400
2005-03-01,13.030000,13.240000,12.980000,13.150000,11.696795,47027400
2005-03-02,13.030000,13.200000,12.820000,13.050000,11.607845,49438200
2005-03-03,13.080000,13.170000,12.960000,13.090000,11.643428,35449800
2005-03-04,13.220000,13.460000,13.180000,13.280000,11.812428,55955700
2005-03-07,13.370000,13.760000,13.340000,13.600000,12.097069,54894700
2005-03-08,13.600000,13.800000,13.590000,13.620000,12.114855,38824300
2005-03-09,13.440000,13.640000,13.310000,13.350000,11.874691,38544700
2005-03-10,13.360000,13.420000,13.220000,13.260000,11.794641,28878100
2005-03-11,13.330000,13.380000,13.000000,13.090000,11.643428,36704200
2005-03-14,13.100000,13.250000,13.010000,13.150000,11.696795,30111500
2005-03-15,13.270000,13.290000,13.110000,13.150000,11.696795,34154200
2005-03-16,13.040000,13.210000,12.900000,13.020000,11.581161,44721200
2005-03-17,13.010000,13.340000,12.990000,13.160000,11.705689,43835700
2005-03-18,12.940000,13.010000,12.510000,12.540000,11.154209,153018100
2005-03-21,12.600000,12.690000,12.420000,12.650000,11.252048,57215900
2005-03-22,12.680000,12.740000,12.390000,12.490000,11.109732,50698700
2005-03-23,12.320000,12.590000,12.240000,12.510000,11.127522,69699700
2005-03-24,12.530000,12.550000,12.360000,12.400000,11.029679,34531200
2005-03-28,12.400000,12.580000,12.260000,12.430000,11.056364,35841500
2005-03-29,12.390000,12.520000,12.230000,12.280000,10.922938,35637300
2005-03-30,12.340000,12.630000,12.320000,12.480000,11.100841,35214200
2005-03-31,12.470000,12.670000,12.440000,12.480000,11.100841,32835900
2005-04-01,12.560000,12.720000,12.520000,12.530000,11.145312,38333200
2005-04-04,12.570000,12.730000,12.540000,12.690000,11.287631,48303100
2005-04-05,12.650000,12.700000,12.380000,12.450000,11.074152,42466000
2005-04-06,12.410000,12.560000,12.320000,12.380000,11.011891,30283800
2005-04-07,12.370000,12.480000,12.280000,12.450000,11.074152,40822100
2005-04-08,12.420000,12.530000,12.330000,12.360000,10.994098,38601300
2005-04-11,12.370000,12.420000,12.310000,12.400000,11.029679,24216700
2005-04-12,12.350000,12.530000,12.340000,12.490000,11.109732,41508400
2005-04-13,12.400000,12.490000,12.170000,12.260000,10.905152,34983000
2005-04-14,12.290000,12.360000,12.060000,12.090000,10.753934,49235100
2005-04-15,11.940000,11.970000,11.660000,11.700000,10.407034,62108300
2005-04-18,11.710000,11.970000,11.670000,11.800000,10.495983,42602500
2005-04-19,11.900000,11.960000,11.690000,11.880000,10.567142,48096200
2005-04-20,11.880000,12.030000,11.730000,11.780000,10.478193,55428000
2005-04-21,11.930000,12.200000,11.910000,12.170000,10.825096,51078800
2005-04-22,12.120000,12.170000,11.830000,11.920000,10.602724,43471400
2005-04-25,11.930000,12.110000,11.920000,12.070000,10.736146,32411300
2005-04-26,12.000000,12.300000,11.850000,11.880000,10.567142,30723400
2005-04-27,11.830000,12.000000,11.810000,11.900000,10.584934,26514600
2005-04-28,11.860000,11.900000,11.550000,11.620000,10.335875,39434000
2005-04-29,11.670000,11.680000,11.250000,11.560000,10.282507,41386100
2005-05-02,11.570000,11.680000,11.510000,11.600000,10.318087,27176700
2005-05-03,11.530000,11.730000,11.510000,11.590000,10.309194,39877600
2005-05-04,11.650000,11.870000,11.630000,11.720000,10.424827,37634100
2005-05-05,11.710000,11.770000,11.560000,11.660000,10.371456,44792300
2005-05-06,11.720000,11.800000,11.670000,11.760000,10.460404,27731800
2005-05-09,11.740000,11.850000,11.690000,11.750000,10.451510,28091400
2005-05-10,11.580000,11.720000,11.490000,11.520000,10.246928,36598000
2005-05-11,11.580000,11.760000,11.480000,11.700000,10.407034,32542900
2005-05-12,11.660000,12.020000,11.640000,11.890000,10.576039,62649000
2005-05-13,11.920000,12.390000,11.910000,12.360000,10.994098,69496400
2005-05-16,12.260000,12.450000,12.250000,12.350000,10.985206,41887000
2005-05-17,12.260000,12.280000,11.980000,12.210000,10.860674,61633100
2005-05-18,12.210000,12.430000,12.130000,12.330000,10.967413,44940000
2005-05-19,12.360000,12.640000,12.350000,12.430000,11.056364,40463700
2005-05-20,12.450000,12.640000,12.400000,12.550000,11.163103,25230900
2005-05-23,12.620000,12.770000,12.600000,12.700000,11.296529,47390500
2005-05-24,12.660000,12.860000,12.640000,12.800000,11.385474,43792600
2005-05-25,12.720000,12.790000,12.610000,12.750000,11.341000,32280900
2005-05-26,12.820000,12.980000,12.770000,12.920000,11.492210,31827400
2005-05-27,12.860000,12.900000,12.790000,12.850000,11.429949,21594400
2005-05-31,12.770000,12.870000,12.690000,12.800000,11.385474,28423900
2005-06-01,12.790000,12.970000,12.770000,12.890000,11.465528,33329000
2005-06-02,12.880000,12.990000,12.840000,12.980000,11.545584,33375700
2005-06-03,12.950000,12.960000,12.550000,12.590000,11.198681,49038900
2005-06-06,12.570000,12.720000,12.550000,12.650000,11.252048,29298000
2005-06-07,12.640000,12.800000,12.560000,12.590000,11.198681,34230100
2005-06-08,12.630000,12.750000,12.600000,12.670000,11.269840,35934900
2005-06-09,12.630000,12.730000,12.580000,12.670000,11.269840,30027400
2005-06-10,12.650000,12.850000,12.550000,12.640000,11.243156,28917900
2005-06-13,12.580000,12.790000,12.560000,12.600000,11.207576,29601000
2005-06-14,12.570000,12.640000,12.420000,12.480000,11.100841,36616900
2005-06-15,12.580000,12.700000,12.300000,12.620000,11.225367,42236600
2005-06-16,12.560000,12.630000,12.350000,12.460000,11.083047,40706600
2005-06-17,12.600000,12.640000,12.280000,12.340000,10.976313,58512100
2005-06-20,12.300000,12.550000,12.280000,12.410000,11.038571,34560100
2005-06-21,12.400000,12.590000,12.370000,12.550000,11.163103,25868700
2005-06-22,12.600000,12.700000,12.500000,12.630000,11.234262,31376000
2005-06-23,12.630000,12.840000,12.480000,12.510000,11.127522,40990400
2005-06-24,12.590000,12.660000,12.410000,12.500000,11.118629,34563900
2005-06-27,12.500000,12.630000,12.500000,12.540000,11.154209,29560700
2005-06-28,12.590000,12.920000,12.570000,12.830000,11.412163,49229600
2005-06-29,13.470000,13.790000,13.230000,13.570000,12.070382,155754700
2005-06-30,13.560000,13.630000,13.160000,13.200000,11.741268,73638100
2005-07-01,13.390000,13.400000,13.210000,13.290000,11.821325,40126400
2005-07-05,13.250000,13.310000,12.990000,13.270000,11.803535,43866000
2005-07-06,13.230000,13.660000,13.210000,13.320000,11.848005,60319100
2005-07-07,13.230000,13.350000,13.190000,13.290000,11.821325,50565700
2005-07-08,13.280000,13.570000,13.260000,13.560000,12.061490,36333200
2005-07-11,13.570000,13.740000,13.540000,13.710000,12.194913,37520900
2005-07-12,13.660000,13.890000,13.620000,13.800000,12.274967,30736600
2005-07-13,13.760000,14.000000,13.710000,13.960000,12.417285,34444700
2005-07-14,13.980000,14.100000,13.860000,14.050000,12.497337,45097400
2005-07-15,14.020000,14.110000,13.980000,14.040000,12.488443,43579300
2005-07-18,13.960000,13.990000,13.900000,13.900000,12.363915,41776800
2005-07-19,13.980000,14.510000,13.750000,13.940000,12.399492,36381100
2005-07-20,13.790000,14.080000,13.780000,14.030000,12.479549,33567000
2005-07-21,13.950000,14.050000,13.540000,13.720000,12.203808,41179300
2005-07-22,13.670000,13.840000,13.570000,13.800000,12.274967,27661200
2005-07-25,13.800000,13.900000,13.710000,13.790000,12.266070,18455700
2005-07-26,13.800000,13.960000,13.760000,13.790000,12.266070,24798000
2005-07-27,13.890000,13.950000,13.700000,13.840000,12.310545,22664400
2005-07-28,13.860000,13.900000,13.710000,13.850000,12.319440,18985900
2005-07-29,13.830000,13.860000,13.570000,13.570000,12.070382,27162200
2005-08-01,13.670000,13.690000,13.450000,13.520000,12.025908,25341800
2005-08-02,13.520000,13.690000,13.440000,13.580000,12.079280,28944700
2005-08-03,13.500000,13.520000,13.290000,13.380000,11.901380,31846100
2005-08-04,13.250000,13.380000,13.210000,13.300000,11.830220,30788400
2005-08-05,13.270000,13.360000,13.140000,13.280000,11.812428,25542900
2005-08-08,13.340000,13.420000,13.250000,13.290000,11.821325,24940300
2005-08-09,13.330000,13.440000,13.300000,13.360000,11.883589,21887400
2005-08-10,13.380000,13.570000,13.300000,13.350000,11.874691,29897300
2005-08-11,13.330000,13.470000,13.260000,13.370000,11.892487,25785900
2005-08-12,13.320000,13.360000,13.200000,13.300000,11.830220,31991200
2005-08-15,13.260000,13.380000,13.220000,13.290000,11.821325,37981700
2005-08-16,13.260000,13.350000,13.250000,13.300000,11.830220,32583500
2005-08-17,13.280000,13.330000,13.140000,13.240000,11.776849,29401000
2005-08-18,13.200000,13.270000,13.040000,13.090000,11.643428,28469400
2005-08-19,13.140000,13.220000,13.060000,13.070000,11.625636,22327200
2005-08-22,13.060000,13.200000,12.990000,13.090000,11.643428,22938400
2005-08-23,13.060000,13.180000,12.960000,13.100000,11.652321,26582100
2005-08-24,13.070000,13.120000,12.870000,12.950000,11.518897,34968300
2005-08-25,12.970000,13.060000,12.920000,12.970000,11.536691,23002700
2005-08-26,12.950000,13.000000,12.820000,12.900000,11.474422,21404700
2005-08-29,12.840000,13.170000,12.830000,13.080000,11.634531,24065700
2005-08-30,13.010000,13.070000,12.840000,13.030000,11.590058,24651900
2005-08-31,13.000000,13.030000,12.820000,12.990000,11.554479,41226700
2005-09-01,12.940000,13.400000,12.920000,13.310000,11.839114,48010000
2005-09-02,13.360000,13.560000,13.350000,13.390000,11.910271,30062900
2005-09-06,13.430000,13.620000,13.390000,13.560000,12.061490,21904000
2005-09-07,13.500000,13.580000,13.330000,13.410000,11.928063,21709400
2005-09-08,13.490000,13.530000,13.260000,13.370000,11.892487,21637400
2005-09-09,13.460000,13.480000,13.000000,13.280000,11.812428,26508800
2005-09-12,13.490000,13.500000,13.280000,13.490000,11.999223,63897300
2005-09-13,13.480000,14.000000,13.460000,13.640000,12.132647,52205500
2005-09-14,13.680000,13.750000,13.440000,13.440000,11.954747,42778400
2005-09-15,13.510000,13.530000,13.270000,13.370000,11.892487,35539600
2005-09-16,13.430000,13.470000,13.120000,13.250000,11.785744,139633800
2005-09-19,13.280000,13.390000,13.140000,13.290000,11.821325,34865300
2005-09-20,13.320000,13.570000,13.270000,13.400000,11.919167,50218900
2005-09-21,13.420000,13.470000,13.170000,13.290000,11.821325,41807500
2005-09-22,13.320000,13.620000,13.210000,13.520000,12.025908,50974700
2005-09-23,12.540000,12.600000,12.260000,12.450000,11.074152,171863900
2005-09-26,12.530000,12.550000,12.320000,12.400000,11.029679,59122300
2005-09-27,12.430000,12.460000,12.290000,12.330000,10.967413,37175600
2005-09-28,12.330000,12.340000,12.180000,12.190000,10.842883,44322900
2005-09-29,12.190000,12.350000,12.000000,12.320000,10.958520,52676000
2005-09-30,12.300000,12.550000,12.250000,12.400000,11.029679,47203900
2005-10-03,12.420000,12.570000,12.370000,12.380000,11.011891,29586900
2005-10-04,12.380000,12.450000,12.140000,12.240000,10.887359,41009900
2005-10-05,12.220000,12.250000,12.030000,12.170000,10.825096,34813500
2005-10-06,12.190000,12.280000,11.900000,12.030000,10.700568,45171900
2005-10-07,12.070000,12.100000,11.850000,11.980000,10.656094,39090400
2005-10-10,11.970000,12.070000,11.850000,12.010000,10.682778,29861900
2005-10-11,12.010000,12.210000,11.990000,12.080000,10.745041,45667300
2005-10-12,12.060000,12.250000,12.000000,12.000000,10.673881,38115600
2005-10-13,11.990000,12.220000,11.970000,12.080000,10.745041,27465200
2005-10-14,12.140000,12.350000,12.060000,12.310000,10.949624,32795600
2005-10-17,12.280000,12.590000,12.210000,12.380000,11.011891,39140000
2005-10-18,12.330000,12.470000,12.320000,12.370000,11.002991,25834800
2005-10-19,12.320000,12.590000,11.960000,12.190000,10.842883,58423300
2005-10-20,12.290000,12.410000,12.110000,12.140000,10.798413,47209000
2005-10-21,12.210000,12.380000,12.180000,12.260000,10.905152,35759000
2005-10-24,12.380000,12.850000,12.310000,12.820000,11.403267,57706100
2005-10-25,12.730000,13.050000,12.700000,12.970000,11.536691,51784400
2005-10-26,12.850000,12.980000,12.570000,12.660000,11.260947,43585600
2005-10-27,12.600000,12.730000,12.440000,12.450000,11.074152,29631200
2005-10-28,12.560000,12.770000,12.480000,12.710000,11.305421,33849500
2005-10-31,12.650000,12.780000,12.570000,12.680000,11.278737,41947800
2005-11-01,12.580000,12.860000,12.580000,12.730000,11.323209,24436100
2005-11-02,12.580000,12.660000,12.300000,12.480000,11.100841,50044000
2005-11-03,12.400000,12.410000,11.750000,12.200000,10.851779,111121100
2005-11-04,12.180000,12.640000,12.170000,12.610000,11.216468,44196600
2005-11-07,12.590000,12.640000,12.450000,12.610000,11.216468,29100600
2005-11-08,12.550000,12.650000,12.490000,12.620000,11.225367,25869100
2005-11-09,12.560000,12.620000,12.480000,12.510000,11.127522,23907100
2005-11-10,12.490000,12.710000,12.380000,12.700000,11.296529,31650400
2005-11-11,12.700000,13.030000,12.650000,12.810000,11.394370,30479200
2005-11-14,12.780000,12.940000,12.750000,12.820000,11.403267,23442500
2005-11-15,12.730000,12.800000,12.600000,12.670000,11.269840,27329000
2005-11-16,12.620000,12.630000,12.410000,12.490000,11.109732,31078200
2005-11-17,12.450000,12.630000,12.380000,12.610000,11.216468,42275000
2005-11-18,12.800000,12.820000,12.570000,12.620000,11.225367,33066200
2005-11-21,12.530000,12.650000,12.340000,12.440000,11.065258,41774600
2005-11-22,12.330000,12.490000,12.310000,12.390000,11.020787,46235900
2005-11-23,12.350000,12.670000,12.340000,12.640000,11.243156,34181400
2005-11-25,12.670000,12.770000,12.600000,12.610000,11.216468,7851700
2005-11-28,12.590000,12.600000,12.470000,12.540000,11.154209,23031900
2005-11-29,12.580000,12.800000,12.570000,12.730000,11.323209,28170600
2005-11-30,12.710000,12.810000,12.560000,12.600000,11.207576,34494400
2005-12-01,12.680000,12.920000,12.670000,12.860000,11.438843,30461000
2005-12-02,12.940000,12.950000,12.730000,12.760000,11.349896,28696700
2005-12-05,12.720000,12.740000,12.420000,12.510000,11.127522,44188500
2005-12-06,12.540000,12.630000,12.420000,12.520000,11.136417,31834600
2005-12-07,12.520000,12.580000,12.360000,12.510000,11.127522,40344700
2005-12-08,12.500000,12.520000,12.230000,12.440000,11.065258,74267000
2005-12-09,12.430000,12.580000,12.430000,12.500000,11.118629,44904200
2005-12-12,12.510000,12.860000,12.500000,12.840000,11.421054,47509200
2005-12-13,12.700000,12.860000,12.600000,12.830000,11.412163,40282800
2005-12-14,12.820000,12.900000,12.680000,12.810000,11.394370,36832500
2005-12-15,12.710000,12.850000,12.640000,12.830000,11.412163,39606200
2005-12-16,12.540000,12.730000,11.990000,12.690000,11.287631,203707200
2005-12-19,12.550000,12.620000,12.280000,12.320000,10.958520,88450900
2005-12-20,12.390000,12.420000,12.250000,12.280000,10.922938,88569800
2005-12-21,12.320000,12.320000,12.140000,12.180000,10.833991,42154200
2005-12-22,12.160000,12.420000,12.150000,12.320000,10.958520,64662200
2005-12-23,12.380000,12.510000,12.310000,12.340000,10.976313,28028200
2005-12-27,12.330000,12.410000,12.240000,12.350000,10.985206,20909100
2005-12-28,12.350000,12.440000,12.270000,12.280000,10.922938,21423600
2005-12-29,12.270000,12.360000,12.230000,12.290000,10.931831,21138100
2005-12-30,12.210000,12.400000,12.160000,12.210000,10.860674,22598000
2006-01-03,12.230000,12.800000,12.220000,12.600000,11.207576,56073800
2006-01-04,12.560000,12.780000,12.540000,12.620000,11.225367,56412300
2006-01-05,12.620000,12.920000,12.600000,12.790000,11.376582,52657100
2006-01-06,12.800000,13.150000,12.750000,13.120000,11.670113,95067600
2006-01-09,13.010000,13.090000,12.790000,12.880000,11.456632,48177800
2006-01-10,12.810000,12.810000,12.610000,12.620000,11.225367,43903600
2006-01-11,12.640000,12.680000,12.470000,12.600000,11.207576,60810100
2006-01-12,12.730000,12.740000,12.480000,12.520000,11.136417,43749300
2006-01-13,12.490000,12.540000,12.370000,12.510000,11.127522,33247500
2006-01-17,12.460000,12.540000,12.400000,12.440000,11.065258,22593700
2006-01-18,12.370000,12.390000,12.230000,12.340000,10.976313,44744000
2006-01-19,12.470000,12.600000,12.450000,12.520000,11.136417,41646400
2006-01-20,12.480000,12.530000,12.260000,12.290000,10.931831,53853200
2006-01-23,12.310000,12.500000,12.210000,12.300000,10.940730,36996200
2006-01-24,12.350000,12.390000,12.190000,12.200000,10.851779,48399500
2006-01-25,12.400000,12.560000,12.340000,12.510000,11.127522,92994900
2006-01-26,12.560000,12.600000,12.410000,12.440000,11.065258,63482400
2006-01-27,12.450000,12.530000,12.390000,12.410000,11.038571,61590500
2006-01-30,12.420000,12.650000,12.280000,12.610000,11.216468,62092100
2006-01-31,12.560000,12.590000,12.410000,12.570000,11.180889,53373600
2006-02-01,12.410000,12.650000,12.390000,12.580000,11.189787,54206000
2006-02-02,12.540000,12.580000,12.360000,12.390000,11.020787,41926000
2006-02-03,12.300000,12.380000,12.180000,12.210000,10.860674,63619900
2006-02-06,12.220000,12.290000,12.060000,12.250000,10.896253,61768000
2006-02-07,12.230000,12.390000,12.210000,12.370000,11.002991,51162700
2006-02-08,12.440000,12.630000,12.440000,12.570000,11.180889,54270900
2006-02-09,12.560000,12.800000,12.460000,12.690000,11.287631,107351900
2006-02-10,12.580000,12.800000,12.560000,12.690000,11.287631,59674100
2006-02-13,12.640000,12.720000,12.400000,12.490000,11.109732,37636000
2006-02-14,12.480000,12.490000,12.350000,12.400000,11.029679,47912300
2006-02-15,12.370000,12.500000,12.350000,12.410000,11.038571,37630400
2006-02-16,12.420000,12.490000,12.360000,12.440000,11.065258,29399100
2006-02-17,12.380000,12.440000,12.320000,12.400000,11.029679,35536000
2006-02-21,12.350000,12.380000,12.250000,12.340000,10.976313,41343600
2006-02-22,12.360000,12.490000,12.280000,12.480000,11.100841,40641000
2006-02-23,12.440000,12.540000,12.400000,12.400000,11.029679,39913300
2006-02-24,12.390000,12.490000,12.380000,12.460000,11.083047,31299300
2006-02-27,12.440000,12.510000,12.360000,12.460000,11.083047,38585600
2006-02-28,12.420000,12.580000,12.390000,12.420000,11.047471,43399200
2006-03-01,12.490000,12.830000,12.490000,12.810000,11.394370,72471500
2006-03-02,12.750000,12.920000,12.680000,12.800000,11.385474,63229200
2006-03-03,12.630000,12.930000,12.610000,12.790000,11.376582,52363900
2006-03-06,12.750000,12.960000,12.730000,12.770000,11.358789,48553100
2006-03-07,12.740000,12.920000,12.720000,12.880000,11.456632,36177700
2006-03-08,12.810000,12.950000,12.750000,12.860000,11.438843,38942500
2006-03-09,12.900000,13.000000,12.820000,12.840000,11.421054,48773800
2006-03-10,12.880000,13.000000,12.840000,12.900000,11.474422,38438000
2006-03-13,12.920000,12.950000,12.850000,12.900000,11.474422,24297100
2006-03-14,12.910000,12.980000,12.870000,12.960000,11.527794,44498300
2006-03-15,12.940000,13.320000,12.900000,13.240000,11.776849,76106900
2006-03-16,13.340000,13.540000,13.270000,13.500000,12.008117,81957200
2006-03-17,13.540000,13.720000,13.420000,13.600000,12.097069,70639000
2006-03-20,13.660000,13.870000,13.570000,13.720000,12.203808,123796300
2006-03-21,13.340000,13.900000,13.220000,13.620000,12.114855,144515800
2006-03-22,13.570000,14.000000,13.550000,13.990000,12.443967,83106300
2006-03-23,13.910000,13.990000,13.730000,13.800000,12.274967,51106100
2006-03-24,13.780000,13.830000,13.720000,13.790000,12.266070,35174400
2006-03-27,13.830000,13.940000,13.770000,13.840000,12.310545,36646600
2006-03-28,13.830000,13.850000,13.570000,13.590000,12.088172,47533800
2006-03-29,13.590000,13.810000,13.430000,13.720000,12.203808,55889400
2006-03-30,13.720000,13.850000,13.640000,13.780000,12.257174,50501000
2006-03-31,13.710000,13.850000,13.690000,13.690000,12.177119,33305800
2006-04-03,13.750000,13.860000,13.750000,13.790000,12.266070,26912300
2006-04-04,13.820000,13.910000,13.780000,13.840000,12.310545,30831800
2006-04-05,13.820000,14.000000,13.810000,13.950000,12.408389,70984700
2006-04-06,13.960000,13.960000,13.740000,13.800000,12.274967,32788400
2006-04-07,13.830000,13.910000,13.720000,13.750000,12.230490,29517200
2006-04-10,13.730000,13.850000,13.620000,13.830000,12.301647,28928600
2006-04-11,13.830000,14.000000,13.720000,13.840000,12.310545,44219500
2006-04-12,13.840000,13.900000,13.730000,13.780000,12.257174,29217300
2006-04-13,13.750000,13.770000,13.660000,13.680000,12.168226,29693900
2006-04-17,13.660000,13.830000,13.650000,13.740000,12.221597,28970700
2006-04-18,13.700000,14.010000,13.690000,14.000000,12.452865,41113900
2006-04-19,13.840000,14.340000,13.810000,14.310000,12.728604,58050400
2006-04-20,14.160000,14.310000,14.100000,14.150000,12.586285,32815300
2006-04-21,14.160000,14.450000,14.150000,14.280000,12.701921,56187800
2006-04-24,14.230000,14.670000,14.190000,14.480000,12.879815,61354000
2006-04-25,14.560000,14.830000,14.550000,14.650000,13.031030,58690000
2006-04-26,14.700000,14.740000,14.620000,14.720000,13.093297,47345900
2006-04-27,14.680000,15.210000,14.550000,14.930000,13.280088,108692600
2006-04-28,14.890000,14.950000,14.520000,14.590000,12.977662,67677500
2006-05-01,14.610000,14.960000,14.430000,14.580000,12.968766,41422900
2006-05-02,14.560000,14.580000,14.380000,14.430000,12.835343,29045900
2006-05-03,14.370000,14.490000,14.070000,14.320000,12.737498,40839600
2006-05-04,14.380000,14.470000,14.210000,14.290000,12.710817,21837400
2006-05-05,14.300000,14.570000,14.280000,14.450000,12.853133,26398600
2006-05-08,14.430000,14.550000,14.170000,14.230000,12.657444,29683000
2006-05-09,14.220000,14.280000,14.050000,14.110000,12.550708,21975400
2006-05-10,14.070000,14.370000,14.060000,14.240000,12.666341,23581800
2006-05-11,14.190000,14.280000,13.800000,13.910000,12.372808,31474100
2006-05-12,13.740000,14.220000,13.540000,13.980000,12.435071,39924500
2006-05-15,13.830000,14.030000,13.800000,13.970000,12.426177,26079100
2006-05-16,13.910000,14.220000,13.870000,14.190000,12.621868,42273300
2006-05-17,14.080000,14.110000,13.750000,13.850000,12.319440,47984500
2006-05-18,13.930000,13.990000,13.280000,13.770000,12.248281,46897500
2006-05-19,13.610000,13.930000,13.560000,13.700000,12.186015,46390200
2006-05-22,13.530000,13.720000,13.500000,13.550000,12.052594,29426200
2006-05-23,13.560000,13.640000,13.440000,13.470000,11.981432,27182500
2006-05-24,13.380000,13.870000,13.360000,13.780000,12.257174,32985200
2006-05-25,13.760000,14.110000,13.700000,14.070000,12.515128,37154800
2006-05-26,14.050000,14.180000,13.920000,14.050000,12.497337,18672500
2006-05-30,14.000000,14.190000,13.880000,14.020000,12.470651,26323900
2006-05-31,14.010000,14.250000,13.970000,14.220000,12.648550,34272800
2006-06-01,14.140000,14.240000,13.960000,14.220000,12.648550,37626100
2006-06-02,14.220000,14.280000,14.040000,14.150000,12.586285,22929600
2006-06-05,14.050000,14.110000,13.860000,13.860000,12.328335,22489500
2006-06-06,13.980000,14.000000,13.600000,13.820000,12.292753,31295500
2006-06-07,13.860000,13.880000,13.500000,13.540000,12.043694,30404500
2006-06-08,13.450000,13.590000,13.200000,13.530000,12.034801,50882600
2006-06-09,13.490000,13.540000,13.330000,13.470000,11.981432,26740100
2006-06-12,13.460000,13.580000,13.220000,13.250000,11.785744,36625600
2006-06-13,13.270000,13.540000,13.100000,13.150000,11.696795,36410300
2006-06-14,13.150000,13.290000,13.070000,13.190000,11.732375,27433700
2006-06-15,13.330000,13.840000,13.300000,13.700000,12.186015,47881400
2006-06-16,14.470000,14.920000,14.090000,14.190000,12.621868,115901400
2006-06-19,14.350000,14.560000,14.180000,14.290000,12.710817,35603700
2006-06-20,14.420000,14.480000,14.230000,14.250000,12.675236,29998100
2006-06-21,14.290000,14.900000,14.280000,14.530000,12.924294,58342800
2006-06-22,14.620000,14.700000,14.250000,14.330000,12.746394,48936300
2006-06-23,14.680000,15.070000,14.540000,14.900000,13.253403,72620900
2006-06-26,14.870000,14.930000,14.520000,14.670000,13.048823,32602300
2006-06-27,14.610000,14.670000,14.330000,14.500000,12.897607,41863600
2006-06-28,14.500000,14.630000,14.490000,14.580000,12.968766,25331900
2006-06-29,14.610000,14.860000,14.400000,14.740000,13.111086,52383700
2006-06-30,14.770000,14.970000,14.490000,14.490000,12.888713,49491600
2006-07-03,14.610000,14.810000,14.610000,14.810000,13.173353,16969500
2006-07-05,14.630000,14.770000,14.550000,14.570000,12.959872,29529100
2006-07-06,14.520000,14.640000,14.430000,14.500000,12.897607,28736300
2006-07-07,14.500000,14.980000,14.420000,14.780000,13.146663,53231000
2006-07-10,14.780000,14.980000,14.400000,14.590000,12.977662,32810500
2006-07-11,14.470000,14.580000,14.290000,14.540000,12.933187,35140800
2006-07-12,14.510000,14.590000,14.150000,14.220000,12.648550,26652400
2006-07-13,13.880000,14.270000,13.770000,14.100000,12.541811,52970500
2006-07-14,14.050000,14.390000,13.930000,14.290000,12.710817,40051300
2006-07-17,14.240000,14.470000,14.220000,14.420000,12.826447,32459300
2006-07-18,14.390000,14.810000,14.350000,14.720000,13.093297,52405400
2006-07-19,14.810000,15.210000,14.730000,15.070000,13.404617,66918900
2006-07-20,15.060000,15.240000,14.910000,15.120000,13.449092,48545800
2006-07-21,15.030000,15.290000,14.960000,15.120000,13.449092,57164900
2006-07-24,15.080000,15.170000,14.920000,14.980000,13.324563,47729400
2006-07-25,14.930000,15.060000,14.800000,14.930000,13.280088,36945500
2006-07-26,14.940000,15.190000,14.760000,15.020000,13.360144,35836600
2006-07-27,15.080000,15.190000,14.790000,14.870000,13.226722,37199200
2006-07-28,14.930000,15.120000,14.850000,15.070000,13.404617,25837300
2006-07-31,14.930000,15.030000,14.820000,14.970000,13.315666,35173100
2006-08-01,14.900000,14.940000,14.550000,14.730000,13.102192,33903300
2006-08-02,14.700000,14.940000,14.550000,14.810000,13.173353,33423700
2006-08-03,14.800000,15.030000,14.730000,14.770000,13.137772,31820900
2006-08-04,14.840000,14.870000,14.490000,14.620000,13.004346,35927100
2006-08-07,14.640000,14.690000,14.500000,14.620000,13.004346,31683300
2006-08-08,14.660000,15.000000,14.660000,14.800000,13.164456,42021300
2006-08-09,14.950000,15.250000,14.850000,14.950000,13.297876,50604600
2006-08-10,14.880000,15.270000,14.860000,15.130000,13.457987,34394400
2006-08-11,15.100000,15.160000,14.890000,14.990000,13.333457,19315000
2006-08-14,15.110000,15.500000,15.060000,15.290000,13.600307,36319700
2006-08-15,15.470000,15.750000,15.430000,15.720000,13.982785,47767900
2006-08-16,15.740000,15.750000,15.410000,15.540000,13.822677,49609300
2006-08-17,15.420000,15.950000,15.410000,15.810000,14.062840,46413400
2006-08-18,15.760000,15.810000,15.400000,15.710000,13.973890,33126400
2006-08-21,15.590000,15.790000,15.450000,15.640000,13.911633,28275800
2006-08-22,15.630000,15.650000,15.370000,15.480000,13.769311,39584700
2006-08-23,15.480000,15.490000,15.230000,15.320000,13.626990,37833800
2006-08-24,15.390000,15.500000,15.230000,15.380000,13.680359,41883900
2006-08-25,15.360000,15.630000,15.310000,15.410000,13.707043,28897000
2006-08-28,15.420000,15.650000,15.360000,15.540000,13.822677,28113600
2006-08-29,15.530000,15.640000,15.400000,15.520000,13.804886,28281400
2006-08-30,15.560000,15.830000,15.500000,15.760000,14.018366,27305200
2006-08-31,15.680000,15.750000,15.500000,15.660000,13.929417,27549200
2006-09-01,15.800000,15.830000,15.450000,15.500000,13.787101,24599100
2006-09-05,15.600000,15.890000,15.590000,15.840000,14.089525,40291700
2006-09-06,15.680000,15.810000,15.570000,15.620000,13.893836,44824300
2006-09-07,15.640000,16.200001,15.580000,16.010000,14.240740,77357700
2006-09-08,16.049999,16.180000,15.760000,15.910000,14.151790,46528300
2006-09-11,15.790000,16.350000,15.750000,16.290001,14.489797,42647900
2006-09-12,16.299999,16.379999,16.150000,16.299999,14.498691,44246800
2006-09-13,16.309999,16.480000,16.180000,16.389999,14.578743,40822400
2006-09-14,16.280001,16.490000,16.200001,16.469999,14.649902,27724100
2006-09-15,16.520000,16.639999,16.100000,16.330000,14.525372,81171300
2006-09-18,16.400000,16.450001,16.100000,16.250000,14.454216,59339400
2006-09-19,16.309999,16.600000,16.070000,16.129999,14.347474,91193700
2006-09-20,18.090000,18.290001,17.840000,17.930000,15.948557,202996500
2006-09-21,17.930000,18.150000,17.910000,18.080000,16.081980,68071400
2006-09-22,17.830000,17.900000,17.530001,17.540001,15.601664,49688000
2006-09-25,17.580000,17.990000,17.389999,17.969999,15.984132,54215900
2006-09-26,17.870001,18.240000,17.870001,18.190001,16.179831,64678900
2006-09-27,18.080000,18.190001,17.900000,17.930000,15.948557,34076300
2006-09-28,17.969999,18.150000,17.809999,17.990000,16.001934,43520700
2006-09-29,17.950001,18.030001,17.740000,17.740000,15.779552,33614900
2006-10-02,17.910000,17.959999,17.590000,17.660000,15.708395,41128800
2006-10-03,17.570000,18.049999,17.520000,17.900000,15.921874,53435100
2006-10-04,17.879999,18.200001,17.790001,18.170000,16.162039,46304700
2006-10-05,18.180000,18.309999,18.139999,18.260000,16.242088,43868000
2006-10-06,18.150000,18.459999,18.129999,18.190001,16.179831,33143800
2006-10-09,18.160000,18.590000,18.070000,18.549999,16.500044,33338100
2006-10-10,18.559999,18.740000,18.469999,18.740000,16.669046,50293800
2006-10-11,18.680000,18.790001,18.480000,18.580000,16.526728,37734900
2006-10-12,18.650000,19.000000,18.520000,18.990000,16.891420,44746600
2006-10-13,18.969999,19.139999,18.780001,19.070000,16.962576,36476500
2006-10-16,19.100000,19.129999,18.980000,18.990000,16.891420,24339400
2006-10-17,18.840000,18.990000,18.600000,18.629999,16.571207,27320400
2006-10-18,18.840000,18.950001,18.690001,18.740000,16.669046,26886900
2006-10-19,18.660000,18.959999,18.370001,18.870001,16.784685,33306700
2006-10-20,18.950001,19.020000,18.680000,18.980000,16.882523,23512400
2006-10-23,18.969999,19.250000,18.870001,19.150000,17.033735,29547100
2006-10-24,19.059999,19.150000,18.740000,18.889999,16.802469,28817700
2006-10-25,18.910000,18.980000,18.549999,18.620001,16.562307,36102000
2006-10-26,18.709999,18.879999,18.469999,18.719999,16.651260,30011200
2006-10-27,18.590000,18.590000,18.059999,18.100000,16.099775,42152100
2006-10-30,17.940001,18.590000,17.770000,18.520000,16.473360,29734300
2006-10-31,18.540001,18.680000,18.410000,18.469999,16.428883,28280800
2006-11-01,18.559999,18.650000,18.340000,18.469999,16.428883,31828700
2006-11-02,18.450001,18.469999,18.049999,18.270000,16.250988,34605200
2006-11-03,18.320000,18.340000,17.670000,17.780001,15.815137,47245500
2006-11-06,17.900000,18.230000,17.820000,18.100000,16.099775,38100500
2006-11-07,18.120001,18.250000,17.990000,18.200001,16.188723,27343800
2006-11-08,18.160000,18.430000,18.049999,18.360001,16.331043,24934900
2006-11-09,18.410000,18.799999,18.290001,18.540001,16.491150,40625800
2006-11-10,18.650000,18.870001,18.610001,18.780001,16.704622,24006700
2006-11-13,18.790001,19.209999,18.750000,19.180000,17.060417,34351000
2006-11-14,19.170000,19.219999,18.920000,19.170000,17.051533,33725800
2006-11-15,19.129999,19.270000,19.070000,19.120001,17.007046,19244400
2006-11-16,19.160000,19.200001,18.889999,19.100000,16.989258,22138000
2006-11-17,19.000000,19.469999,18.980000,19.459999,17.309481,34515900
2006-11-20,19.330000,19.580000,19.320000,19.480000,17.327269,24461400
2006-11-21,19.459999,19.490000,19.219999,19.480000,17.327269,20572900
2006-11-22,19.490000,19.750000,19.480000,19.660000,17.487371,22510700
2006-11-24,19.459999,19.730000,19.379999,19.600000,17.434008,7998500
2006-11-27,19.480000,19.549999,18.830000,18.920000,16.829155,36667400
2006-11-28,18.780001,19.030001,18.719999,18.900000,16.811367,38242400
2006-11-29,19.040001,19.340000,18.910000,19.150000,17.033735,23085400
2006-11-30,19.129999,19.309999,19.030001,19.049999,16.944784,32049500
2006-12-01,19.110001,19.110001,18.629999,18.809999,16.731312,35175500
2006-12-04,18.879999,19.340000,18.750000,19.280001,17.149372,47472800
2006-12-05,19.320000,19.330000,18.780001,18.860001,16.775787,54935000
2006-12-06,18.389999,18.420000,17.780001,17.879999,15.904080,94937400
2006-12-07,17.620001,17.700001,17.320000,17.500000,15.566077,93141200
2006-12-08,17.590000,17.879999,17.530001,17.799999,15.832925,37639100
2006-12-11,17.770000,18.250000,17.709999,18.070000,16.073092,43930100
2006-12-12,18.209999,18.219999,17.830000,17.990000,16.001934,41589600
2006-12-13,18.219999,18.250000,17.879999,18.020000,16.028614,33991300
2006-12-14,18.070000,18.250000,17.940001,18.020000,16.028614,26996600
2006-12-15,18.010000,18.030001,17.590000,17.680000,15.726192,70448500
2006-12-18,17.870001,18.170000,17.650000,17.910000,15.930766,58188500
2006-12-19,17.150000,17.260000,16.930000,17.100000,15.210281,102097500
2006-12-20,17.090000,17.219999,17.030001,17.100000,15.210281,48725300
2006-12-21,17.139999,17.200001,17.090000,17.100000,15.210281,34704400
2006-12-22,17.110001,17.250000,17.049999,17.110001,15.219178,19736700
2006-12-26,17.020000,17.250000,16.990000,17.129999,15.236966,15053500
2006-12-27,17.230000,17.240000,17.070000,17.100000,15.210281,16546600
2006-12-28,17.129999,17.250000,17.040001,17.200001,15.299232,20485400
2006-12-29,17.110001,17.379999,17.080000,17.139999,15.245860,23592900
2007-01-03,17.219999,17.780001,17.100000,17.510000,15.574974,52241700
2007-01-04,17.549999,17.870001,17.299999,17.680000,15.726192,33559800
2007-01-05,17.620001,17.760000,17.440001,17.639999,15.690602,36154800
2007-01-08,17.629999,17.930000,17.450001,17.860001,15.886301,31018100
2007-01-09,17.930000,17.980000,17.650000,17.820000,15.850718,31417000
2007-01-10,17.660000,17.799999,17.549999,17.770000,15.806239,27822400
2007-01-11,17.790001,17.809999,17.350000,17.389999,15.468234,65380200
2007-01-12,17.350000,17.549999,17.280001,17.500000,15.566077,42526400
2007-01-16,17.389999,17.480000,17.260000,17.299999,15.388177,35736000
2007-01-17,17.290001,17.709999,17.280001,17.520000,15.583868,31417600
2007-01-18,17.480000,17.520000,17.100000,17.120001,15.228071,61438500
2007-01-19,17.059999,17.450001,17.010000,17.270000,15.361494,28871700
2007-01-22,17.250000,17.809999,16.770000,17.000000,15.121334,52768300
2007-01-23,17.010000,17.309999,17.010000,17.120001,15.228071,33062000
2007-01-24,17.110001,17.290001,17.090000,17.139999,15.245860,31268600
2007-01-25,17.129999,17.219999,16.930000,16.980000,15.103538,35851900
2007-01-26,17.040001,17.299999,17.030001,17.150000,15.254751,36013400
2007-01-29,17.090000,17.299999,17.030001,17.270000,15.361494,33492500
2007-01-30,17.320000,17.500000,17.090000,17.160000,15.263649,42647400
2007-01-31,17.110001,17.200001,16.799999,17.160000,15.263649,39756700
2007-02-01,17.219999,17.340000,17.030001,17.049999,15.165809,29262300
2007-02-02,17.139999,17.440001,17.110001,17.420000,15.494920,41177800
2007-02-05,17.350000,17.430000,17.080000,17.160000,15.263649,28521100
2007-02-06,17.129999,17.190001,16.860001,17.020000,15.139127,31442200
2007-02-07,17.120001,17.120001,16.850000,16.910000,15.041280,45225900
2007-02-08,16.870001,16.920000,16.660000,16.709999,14.863382,45789500
2007-02-09,16.790001,16.940001,16.540001,16.700001,14.854488,41419200
2007-02-12,16.650000,16.709999,16.510000,16.650000,14.810013,31935900
2007-02-13,16.709999,16.709999,16.530001,16.620001,14.783325,28212500
2007-02-14,16.740000,16.940001,16.680000,16.770000,14.916751,42296700
2007-02-15,16.840000,16.920000,16.680000,16.910000,15.041280,33887400
2007-02-16,16.889999,16.980000,16.700001,16.700001,14.854488,34121000
2007-02-20,16.690001,16.980000,16.570000,16.980000,15.103538,31925200
2007-02-21,16.969999,17.280001,16.950001,17.200001,15.299232,50679300
2007-02-22,17.260000,17.299999,17.010000,17.270000,15.361494,32971700
2007-02-23,17.240000,17.260000,16.709999,16.820000,14.961226,54223900
2007-02-26,16.910000,17.020000,16.000000,16.820000,14.961226,32784400
2007-02-27,16.650000,16.799999,16.290001,16.290001,14.489797,39847100
2007-02-28,16.370001,16.840000,16.309999,16.430000,14.614326,47578000
2007-03-01,16.110001,17.040001,15.970000,16.770000,14.916751,81590400
2007-03-02,16.629999,16.889999,16.530001,16.709999,14.863382,37306400
2007-03-05,16.520000,17.000000,16.340000,16.370001,14.560957,34056700
2007-03-06,16.520000,16.920000,16.490000,16.879999,15.014593,38263800
2007-03-07,16.770000,16.850000,16.459999,16.490000,14.667691,30652900
2007-03-08,16.700001,16.920000,16.629999,16.690001,14.845591,30462200
2007-03-09,16.809999,16.950001,16.570000,16.629999,14.792220,24208200
2007-03-12,16.610001,17.090000,16.600000,17.070000,15.183599,30612500
2007-03-13,16.930000,17.209999,16.650000,16.650000,14.810013,31390600
2007-03-14,16.740000,16.940001,16.660000,16.879999,15.014593,33735600
2007-03-15,16.850000,16.940001,16.650000,16.719999,14.872277,24015100
2007-03-16,16.709999,16.850000,16.620001,16.700001,14.854488,34226000
2007-03-19,16.830000,17.230000,16.830000,17.180000,15.281442,29509600
2007-03-20,17.250000,17.700001,17.139999,17.549999,15.610557,65763900
2007-03-21,18.309999,18.389999,17.780001,18.170000,16.162039,95212000
2007-03-22,18.010000,18.549999,17.950001,18.490000,16.446674,49522300
2007-03-23,18.459999,18.590000,18.180000,18.240000,16.224300,34168200
2007-03-26,18.219999,18.430000,18.020000,18.389999,16.357729,50457200
2007-03-27,18.350000,18.500000,18.350000,18.490000,16.446674,33079800
2007-03-28,18.340000,18.500000,18.150000,18.170000,16.162039,33674900
2007-03-29,18.330000,18.330000,17.950001,18.160000,16.153137,28826400
2007-03-30,18.180000,18.270000,17.889999,18.129999,16.126463,20829000
2007-04-02,18.080000,18.180000,17.990000,18.139999,16.135351,20713000
2007-04-03,18.230000,18.469999,18.170000,18.360001,16.331043,32084400
2007-04-04,18.350000,18.570000,18.330000,18.559999,16.508934,23413200
2007-04-05,18.500000,18.670000,18.389999,18.670000,16.606781,21896000
2007-04-09,18.660000,18.700001,18.540001,18.570000,16.517828,19737500
2007-04-10,18.780001,18.879999,18.680000,18.850000,16.766890,24388700
2007-04-11,18.900000,18.910000,18.459999,18.590000,16.535616,29857300
2007-04-12,18.570000,18.709999,18.440001,18.700001,16.633465,22695500
2007-04-13,18.790001,18.850000,18.459999,18.629999,16.571207,32228500
2007-04-16,18.680000,18.950001,18.660000,18.900000,16.811367,26629500
2007-04-17,18.799999,19.000000,18.799999,18.889999,16.802469,26270500
2007-04-18,18.799999,18.879999,18.700001,18.730000,16.660147,31580800
2007-04-19,18.549999,18.850000,18.549999,18.760000,16.686838,31511200
2007-04-20,18.980000,19.059999,18.820000,19.000000,16.900314,37574200
2007-04-23,18.969999,19.090000,18.900000,18.940001,16.846943,24752500
2007-04-24,19.040001,19.049999,18.750000,18.820000,16.740206,21191800
2007-04-25,18.889999,18.990000,18.700001,18.900000,16.811367,24759100
2007-04-26,18.770000,19.000000,18.760000,18.950001,16.855841,16645600
2007-04-27,18.959999,19.290001,18.879999,19.100000,16.989258,25063000
2007-04-30,19.100000,19.150000,18.799999,18.799999,16.722418,27161900
2007-05-01,18.750000,18.820000,18.549999,18.590000,16.535616,33335900
2007-05-02,18.690001,18.980000,18.610001,18.860001,16.775787,22342300
2007-05-03,18.910000,19.040001,18.799999,19.020000,16.918100,18260900
2007-05-04,19.040001,19.049999,18.770000,19.030001,16.926996,24433600
2007-05-07,19.020000,19.150000,18.990000,19.049999,16.944784,16307300
2007-05-08,18.930000,19.040001,18.879999,18.950001,16.855841,17168600
2007-05-09,18.910000,18.910000,18.570000,18.830000,16.749105,22497800
2007-05-10,18.690001,18.910000,18.480000,18.490000,16.446674,30821500
2007-05-11,18.600000,19.040001,18.520000,18.980000,16.882523,30915000
2007-05-14,18.940001,19.080000,18.770000,18.940001,16.846943,17521100
2007-05-15,18.889999,19.170000,18.830000,18.840000,16.757994,23631300
2007-05-16,18.860001,18.990000,18.650000,18.990000,16.891420,24453400
2007-05-17,18.860001,19.110001,18.809999,19.049999,16.944784,21129600
2007-05-18,19.070000,19.250000,19.010000,19.250000,17.122690,25941800
2007-05-21,19.200001,19.320000,19.110001,19.320000,17.184946,18449000
2007-05-22,19.389999,19.459999,19.200001,19.370001,17.229425,22231100
2007-05-23,19.379999,19.469999,19.150000,19.160000,17.042633,23079900
2007-05-24,19.139999,19.290001,18.670000,18.750000,16.677931,33424600
2007-05-25,18.889999,19.299999,18.840000,19.240000,17.113794,24639600
2007-05-29,19.290001,19.490000,19.190001,19.309999,17.176058,27015400
2007-05-30,19.250000,19.420000,19.110001,19.420000,17.273901,28823700
2007-05-31,19.389999,19.600000,19.260000,19.379999,17.238317,32588100
2007-06-01,19.450001,19.700001,19.379999,19.660000,17.487371,25854400
2007-06-04,19.549999,19.690001,19.389999,19.670000,17.496277,21916500
2007-06-05,19.600000,19.639999,19.330000,19.480000,17.327269,26304900
2007-06-06,19.370001,19.400000,19.110001,19.350000,17.211632,31111800
2007-06-07,19.150000,19.350000,18.730000,18.730000,16.660147,39857800
2007-06-08,18.730000,19.100000,18.730000,19.059999,16.953676,35495100
2007-06-11,18.930000,19.320000,18.900000,19.209999,17.087105,24997700
2007-06-12,19.209999,19.370001,18.809999,18.840000,16.757994,33775600
2007-06-13,18.870001,19.299999,18.719999,19.299999,17.167166,29790400
2007-06-14,19.549999,19.690001,19.490000,19.639999,17.469585,41226700
2007-06-15,19.910000,19.950001,19.750000,19.860001,17.665270,40671500
2007-06-18,19.920000,19.940001,19.620001,19.790001,17.603012,36639100
2007-06-19,19.790001,19.940001,19.629999,19.879999,17.683060,24366900
2007-06-20,19.959999,19.959999,19.520000,19.530001,17.371746,34945000
2007-06-21,19.570000,19.730000,19.459999,19.680000,17.505167,27977300
2007-06-22,19.600000,19.650000,19.389999,19.389999,17.247210,39685600
2007-06-25,19.450001,19.660000,19.209999,19.480000,17.327269,28377000
2007-06-26,19.620001,19.680000,19.020000,19.160000,17.042633,49101000
2007-06-27,19.320000,19.770000,19.270000,19.690001,17.514059,76122400
2007-06-28,19.620001,20.059999,19.610001,19.850000,17.656380,46529500
2007-06-29,19.950001,20.020000,19.540001,19.709999,17.531847,31480800
2007-07-02,19.879999,19.990000,19.719999,19.920000,17.718643,23759900
2007-07-03,19.969999,20.070000,19.900000,20.070000,17.852070,18749800
2007-07-05,20.059999,20.500000,19.959999,20.490000,18.225649,36504600
2007-07-06,20.450001,20.490000,20.250000,20.400000,18.145599,26765700
2007-07-09,20.240000,20.240000,20.070000,20.160000,17.932123,27335100
2007-07-10,20.010000,20.150000,19.700001,19.719999,17.540741,29259100
2007-07-11,19.770000,20.000000,19.719999,19.980000,17.772017,29842800
2007-07-12,20.049999,20.510000,19.969999,20.500000,18.234550,36005900
2007-07-13,20.500000,20.500000,20.250000,20.400000,18.145599,23160700
2007-07-16,20.290001,20.469999,20.170000,20.200001,17.967707,19827000
2007-07-17,20.250000,20.469999,20.209999,20.379999,18.127810,21767500
2007-07-18,20.200001,20.420000,20.160000,20.410000,18.154503,30676900
2007-07-19,20.559999,20.719999,20.520000,20.600000,18.323496,29326400
2007-07-20,20.889999,20.940001,20.379999,20.610001,18.332396,43965400
2007-07-23,20.809999,20.910000,20.639999,20.780001,18.483604,29403500
2007-07-24,20.780001,20.980000,20.530001,20.639999,18.359074,39526500
2007-07-25,20.700001,20.740000,20.400000,20.580000,18.305704,31017700
2007-07-26,20.209999,20.459999,19.740000,20.010000,17.798698,41746500
2007-07-27,20.000000,20.219999,19.600000,19.620001,17.451792,32531300
2007-07-30,19.559999,19.670000,19.340000,19.580000,17.416220,21879400
2007-07-31,19.790001,19.820000,19.110001,19.120001,17.007046,35952300
2007-08-01,18.930000,19.820000,18.830000,19.790001,17.603012,54801800
2007-08-02,19.760000,20.209999,19.670000,20.090000,17.869858,31437400
2007-08-03,20.090000,20.190001,19.660000,19.660000,17.487371,35123900
2007-08-06,19.820000,20.100000,19.730000,20.080000,17.860966,29746300
2007-08-07,19.860001,20.080000,19.500000,19.680000,17.505167,34504100
2007-08-08,19.959999,20.209999,19.799999,20.200001,17.967707,26724900
2007-08-09,19.940001,20.299999,19.870001,20.090000,17.869858,33581200
2007-08-10,19.750000,20.250000,19.670000,19.990000,17.780905,36769100
2007-08-13,19.930000,19.959999,19.650000,19.719999,17.540741,22088400
2007-08-14,19.799999,19.809999,19.320000,19.350000,17.211632,22266300
2007-08-15,19.250000,19.709999,19.129999,19.180000,17.060417,27172500
2007-08-16,19.110001,19.480000,18.809999,19.139999,17.024843,42493800
2007-08-17,19.309999,19.549999,19.010000,19.350000,17.211632,36236800
2007-08-20,19.250000,19.410000,18.950001,19.110001,16.998154,23960800
2007-08-21,18.959999,19.340000,18.959999,19.270000,17.140474,23766700
2007-08-22,19.389999,19.420000,19.070000,19.320000,17.184946,23664200
2007-08-23,19.379999,19.690001,19.219999,19.370001,17.229425,31203800
2007-08-24,19.299999,19.969999,19.299999,19.940001,17.736431,26753000
2007-08-27,19.950001,20.020000,19.750000,19.860001,17.665270,18113200
2007-08-28,19.799999,19.860001,19.330000,19.360001,17.220533,21875400
2007-08-29,19.410000,20.150000,19.370001,20.129999,17.905437,30989600
2007-08-30,19.959999,20.420000,19.809999,20.209999,17.976595,30459800
2007-08-31,20.430000,20.480000,20.150000,20.280001,18.038860,24050700
2007-09-04,20.240000,20.879999,20.200001,20.719999,18.430235,36903900
2007-09-05,20.490000,20.850000,20.459999,20.730000,18.439133,30545000
2007-09-06,20.719999,20.740000,20.330000,20.540001,18.270130,26360100
2007-09-07,20.219999,20.400000,19.969999,20.160000,17.932123,29191800
2007-09-10,20.340000,20.459999,19.980000,20.170000,17.941019,25314200
2007-09-11,20.230000,20.520000,20.150000,20.459999,18.198963,20869100
2007-09-12,20.350000,20.620001,20.299999,20.540001,18.270130,30815500
2007-09-13,20.700001,20.700001,20.340000,20.450001,18.190079,24506800
2007-09-14,20.389999,20.420000,20.010000,20.070000,17.852070,35461300
2007-09-17,19.959999,20.230000,19.879999,20.020000,17.807596,23329200
2007-09-18,20.080000,20.730000,20.049999,20.730000,18.439133,28759700
2007-09-19,20.940001,21.129999,20.610001,20.840000,18.536980,46209900
2007-09-20,20.820000,21.309999,20.629999,21.040001,18.714876,56499400
2007-09-21,21.570000,22.170000,21.040001,21.980000,19.550995,95941900
2007-09-24,22.000000,22.120001,21.549999,21.790001,19.381990,37448700
2007-09-25,21.620001,21.980000,21.500000,21.940001,19.515411,30826800
2007-09-26,22.010000,22.020000,21.500000,21.770000,19.364204,32477400
2007-09-27,21.840000,21.879999,21.530001,21.629999,19.239668,21078400
2007-09-28,21.660000,21.830000,21.559999,21.650000,19.257460,20381400
2007-10-01,21.639999,21.990000,21.610001,21.969999,19.542099,23641200
2007-10-02,21.980000,21.980000,21.709999,21.850000,19.435360,24202300
2007-10-03,21.790001,21.879999,21.450001,21.570000,19.186308,25149500
2007-10-04,21.650000,21.790001,21.510000,21.760000,19.355309,18636800
2007-10-05,21.860001,22.320000,21.809999,22.180000,19.728893,31341400
2007-10-08,22.049999,22.549999,22.030001,22.510000,20.022425,23281300
2007-10-09,22.540001,22.680000,22.360001,22.580000,20.084688,24543300
2007-10-10,22.590000,22.950001,22.530001,22.920000,20.387114,32204900
2007-10-11,22.950001,23.000000,22.389999,22.459999,19.977953,35055400
2007-10-12,22.400000,22.650000,22.110001,22.440001,19.960167,39710600
2007-10-15,22.549999,22.580000,21.820000,22.070000,19.631050,34244900
2007-10-16,22.000000,22.059999,21.709999,21.750000,19.346409,31324300
2007-10-17,21.950001,21.950001,21.139999,21.490000,19.115147,42188200
2007-10-18,21.490000,21.580000,21.110001,21.430000,19.061775,32349900
2007-10-19,21.430000,21.469999,20.670000,20.750000,18.456926,40513300
2007-10-22,20.600000,21.340000,20.510000,21.200001,18.857189,31102900
2007-10-23,21.400000,21.490000,21.120001,21.450001,19.079563,30083700
2007-10-24,21.260000,21.350000,20.850000,21.180000,18.839401,31753500
2007-10-25,21.330000,21.450001,20.780001,21.000000,18.679295,40656800
2007-10-26,21.320000,21.350000,20.990000,21.350000,18.990618,31368700
2007-10-29,21.490000,21.820000,21.299999,21.770000,19.364204,29398500
2007-10-30,21.650000,21.740000,21.480000,21.629999,19.239668,25714700
2007-10-31,21.639999,22.240000,21.629999,22.170000,19.719995,31540300
2007-11-01,22.000000,22.190001,21.750000,21.760000,19.355309,34306900
2007-11-02,21.809999,22.100000,21.680000,22.030001,19.595470,30857000
2007-11-05,21.830000,22.209999,21.760000,22.070000,19.631050,26496300
2007-11-06,22.530001,22.889999,22.340000,22.830000,20.307064,34111500
2007-11-07,22.500000,22.690001,22.070000,22.100000,19.657726,38119400
2007-11-08,21.900000,22.049999,19.820000,20.350000,18.101126,94813800
2007-11-09,19.930000,20.070000,19.320000,19.360001,17.220533,77224300
2007-11-12,19.250000,19.920000,19.059999,19.440001,17.291693,55312900
2007-11-13,19.799999,20.530001,19.440001,20.520000,18.252337,48238200
2007-11-14,20.830000,20.930000,19.990000,20.180000,17.949915,47248500
2007-11-15,19.920000,20.620001,19.719999,20.420000,18.163393,54927000
2007-11-16,20.420000,21.059999,20.190001,20.799999,18.501396,44728400
2007-11-19,20.650000,20.879999,20.320000,20.530001,18.261240,29048500
2007-11-20,20.440001,20.940001,20.230000,20.690001,18.403553,34611400
2007-11-21,20.250000,20.629999,20.020000,20.209999,17.976595,29401200
2007-11-23,20.240000,20.430000,20.059999,20.309999,18.065548,11207000
2007-11-26,20.379999,20.500000,19.690001,19.700001,17.522953,26680800
2007-11-27,19.750000,20.180000,19.500000,19.889999,17.691961,33108300
2007-11-28,20.080000,20.620001,20.010000,20.510000,18.243450,28537700
2007-11-29,20.480000,20.690001,20.309999,20.480000,18.216757,25080700
2007-11-30,20.780001,20.780001,19.780001,20.180000,17.949915,47957900
2007-12-03,20.230000,20.459999,20.100000,20.240000,18.003281,36709300
2007-12-04,19.750000,20.190001,19.680000,20.030001,17.816490,33425000
2007-12-05,20.219999,21.459999,20.190001,21.219999,18.874983,56410100
2007-12-06,21.100000,21.450001,20.940001,21.420000,19.052879,29484300
2007-12-07,21.500000,21.540001,21.059999,21.139999,18.803823,24556300
2007-12-10,21.290001,21.690001,21.230000,21.639999,19.248568,25332600
2007-12-11,21.700001,21.700001,21.010000,21.070000,18.741556,30365600
2007-12-12,21.410000,21.809999,21.059999,21.370001,19.008400,39807900
2007-12-13,21.340000,21.770000,21.260000,21.610001,19.221884,30334600
2007-12-14,21.360001,21.440001,21.120001,21.200001,18.857189,26260100
2007-12-17,21.150000,21.160000,20.820000,20.940001,18.625925,36971900
2007-12-18,21.090000,21.260000,20.620001,21.250000,18.901667,38884600
2007-12-19,21.330000,21.400000,20.559999,20.760000,18.465818,68576400
2007-12-20,22.430000,22.500000,22.040001,22.100000,19.657726,78506700
2007-12-21,22.299999,22.760000,22.250000,22.709999,20.200323,58166900
2007-12-24,22.639999,22.799999,22.420000,22.760000,20.244802,15394700
2007-12-26,22.559999,23.000000,22.549999,23.000000,20.458273,24286900
2007-12-27,23.049999,23.309999,22.910000,23.040001,20.493856,34093100
2007-12-28,23.110001,23.290001,22.900000,22.969999,20.431585,21955900
2007-12-31,22.690001,22.959999,22.500000,22.580000,20.084688,20004400
2008-01-02,22.549999,22.820000,22.379999,22.490000,20.004639,42775700
2008-01-03,22.430000,23.110001,22.430000,23.110001,20.556120,42045400
2008-01-04,22.770000,22.879999,21.790001,22.030001,19.595470,44738600
2008-01-07,21.959999,22.480000,21.790001,22.250000,19.791159,40045600
2008-01-08,22.240000,22.320000,21.139999,21.150000,18.812716,43551600
2008-01-09,21.340000,21.690001,21.150000,21.610001,19.221884,47973000
2008-01-10,21.459999,21.799999,21.070000,21.680000,19.284149,42107400
2008-01-11,21.530001,21.690001,21.059999,21.100000,18.768242,46251400
2008-01-14,21.440001,22.120001,21.100000,22.059999,19.622150,48826100
2008-01-15,21.760000,22.049999,21.299999,21.309999,18.955034,39579500
2008-01-16,21.030001,22.330000,20.850000,21.920000,19.497629,76869400
2008-01-17,21.900000,21.950001,21.299999,21.410000,19.043985,52783800
2008-01-18,21.350000,21.830000,21.170000,21.580000,19.195200,51486500
2008-01-22,20.280001,20.790001,19.680000,20.219999,17.985491,66962800
2008-01-23,19.580000,20.680000,19.520000,20.610001,18.332396,56349500
2008-01-24,20.600000,20.969999,20.150000,20.610001,18.332396,43764900
2008-01-25,21.000000,21.080000,20.219999,20.280001,18.038860,42303500
2008-01-28,20.129999,20.400000,20.010000,20.260000,18.021072,29189600
2008-01-29,20.230000,20.280001,19.690001,20.070000,17.852070,35571800
2008-01-30,20.020000,20.600000,19.809999,20.270000,18.029961,42369000
2008-01-31,19.950001,20.730000,19.879999,20.549999,18.279026,52510400
2008-02-01,20.780001,20.780001,20.219999,20.680000,18.394657,41937100
2008-02-04,20.680000,20.680000,20.150000,20.200001,17.967707,26668700
2008-02-05,19.780001,19.879999,19.209999,19.260000,17.131584,55269500
2008-02-06,19.540001,20.090000,19.400000,19.680000,17.505167,50356200
2008-02-07,19.260000,19.600000,19.030001,19.200001,17.078215,59196500
2008-02-08,19.160000,19.389999,18.940001,19.190001,17.069313,38131800
2008-02-11,19.209999,19.570000,19.170000,19.440001,17.291693,44115100
2008-02-12,19.549999,19.889999,19.299999,19.410000,17.265007,36472700
2008-02-13,19.700001,19.930000,19.459999,19.660000,17.487371,33598000
2008-02-14,19.650000,19.719999,19.000000,19.090000,16.980373,36483300
2008-02-15,19.020000,19.219999,18.940001,19.090000,16.980373,25070700
2008-02-19,19.309999,19.400000,18.990000,19.020000,16.918100,34260000
2008-02-20,19.020000,19.500000,18.980000,19.430000,17.282789,36662000
2008-02-21,19.490000,19.600000,18.809999,18.889999,16.802469,55583400
2008-02-22,18.930000,19.020000,18.180000,18.900000,16.811367,61623500
2008-02-25,18.850000,19.120001,18.610001,18.969999,16.873629,56319700
2008-02-26,18.900000,19.350000,18.870001,19.209999,17.087105,48428800
2008-02-27,19.120001,19.450001,18.809999,19.190001,17.069313,37850700
2008-02-28,19.100000,19.600000,18.920000,19.410000,17.265007,42274100
2008-02-29,19.180000,19.190001,18.730000,18.799999,16.722418,43803100
2008-03-03,18.760000,19.180000,18.660000,18.950001,16.855841,41836600
2008-03-04,18.820000,18.980000,18.200001,18.440001,16.402203,71509100
2008-03-05,18.709999,18.980000,18.620001,18.799999,16.722418,58178200
2008-03-06,19.090000,19.600000,19.070000,19.230000,17.104891,69112300
2008-03-07,19.129999,19.549999,18.870001,19.000000,16.900314,46510200
2008-03-10,19.170000,19.500000,19.080000,19.280001,17.149372,36576100
2008-03-11,19.650000,19.950001,19.100000,19.510000,17.353945,48217800
2008-03-12,19.580000,20.170000,19.430000,19.680000,17.505167,48200300
2008-03-13,19.570000,19.990000,19.360001,19.840000,17.647490,43684900
2008-03-14,20.010000,20.049999,19.270000,19.520000,17.362844,43595500
2008-03-17,18.930000,19.490000,18.930000,19.280001,17.149372,41039200
2008-03-18,19.639999,20.049999,19.389999,20.020000,17.807596,38445300
2008-03-19,20.260000,20.490000,19.549999,19.559999,17.398432,43142100
2008-03-20,19.860001,20.170000,19.559999,20.080000,17.860966,45441300
2008-03-24,20.420000,20.910000,20.370001,20.770000,18.474716,34487700
2008-03-25,21.030001,21.160000,20.719999,21.080000,18.750448,43212600
2008-03-26,21.290001,21.299999,20.629999,20.940001,18.625925,85438700
2008-03-27,19.450001,19.700001,19.250000,19.430000,17.282789,117082800
2008-03-28,19.549999,19.860001,19.320000,19.370001,17.229425,38130200
2008-03-31,19.480000,19.629999,19.389999,19.559999,17.398432,32073900
2008-04-01,19.910000,20.420000,19.719999,20.410000,18.154503,44724400
2008-04-02,20.410000,20.760000,20.260000,20.490000,18.225649,32243000
2008-04-03,20.400000,20.700001,20.270000,20.680000,18.394657,36848900
2008-04-04,20.610001,20.690001,20.309999,20.350000,18.101126,53991200
2008-04-07,20.450001,20.559999,20.200001,20.230000,17.994385,24030900
2008-04-08,20.030001,20.150000,19.840000,19.920000,17.718643,35278100
2008-04-09,19.920000,20.260000,19.870001,20.219999,17.985491,31565400
2008-04-10,20.190001,20.799999,20.160000,20.450001,18.190079,49075300
2008-04-11,20.090000,20.139999,19.809999,19.840000,17.647490,28955200
2008-04-14,19.830000,20.150000,19.799999,19.860001,17.665270,21577300
2008-04-15,19.950001,20.240000,19.930000,20.180000,17.949915,24994100
2008-04-16,20.299999,20.940001,20.290001,20.770000,18.474716,47112400
2008-04-17,20.830000,21.219999,20.690001,21.200001,18.857189,37481600
2008-04-18,21.540001,21.930000,21.230000,21.799999,19.390882,47169800
2008-04-21,21.639999,21.910000,21.410000,21.760000,19.355309,26095700
2008-04-22,21.540001,21.879999,21.500000,21.780001,19.373096,29861500
2008-04-23,21.790001,21.959999,21.690001,21.910000,19.488733,25501200
2008-04-24,21.920000,22.280001,21.540001,22.010000,19.577681,35155700
2008-04-25,21.959999,21.980000,21.250000,21.590000,19.204096,28692400
2008-04-28,21.580000,21.799999,21.379999,21.510000,19.132929,24818500
2008-04-29,21.410000,21.879999,21.330000,21.760000,19.355309,25801300
2008-04-30,21.490000,21.580000,20.799999,20.850000,18.545872,41907200
2008-05-01,21.010000,21.850000,20.959999,21.820000,19.408674,35781100
2008-05-02,22.059999,22.070000,21.290001,21.510000,19.132929,36754700
2008-05-05,21.500000,21.680000,21.340000,21.549999,19.168516,30525500
2008-05-06,21.410000,21.770000,21.250000,21.500000,19.124039,32882300
2008-05-07,21.430000,21.500000,20.910000,20.990000,18.670399,37811800
2008-05-08,21.150000,21.280001,21.000000,21.100000,18.768242,26097900
2008-05-09,20.840000,21.100000,20.700001,21.000000,18.679295,21073100
2008-05-12,21.129999,21.629999,21.080000,21.510000,19.132929,24786200
2008-05-13,21.549999,21.719999,21.309999,21.670000,19.275249,20443900
2008-05-14,21.730000,22.139999,21.600000,21.780001,19.373096,26521200
2008-05-15,21.620001,21.910000,21.540001,21.870001,19.453152,21660300
2008-05-16,21.900000,21.969999,21.410000,21.680000,19.284149,33779900
2008-05-19,22.040001,22.750000,21.870001,22.430000,19.951263,41541600
2008-05-20,22.240000,22.440001,22.049999,22.160000,19.711105,25913800
2008-05-21,22.240000,22.709999,21.940001,22.010000,19.577681,30644300
2008-05-22,22.070000,22.469999,22.059999,22.309999,19.844522,24186400
2008-05-23,22.290001,22.299999,21.889999,21.980000,19.550995,19994200
2008-05-27,22.049999,22.750000,22.020000,22.660000,20.155853,29198000
2008-05-28,22.790001,22.950001,22.639999,22.790001,20.271486,26752100
2008-05-29,22.840000,23.000000,22.480000,22.790001,20.271486,32460500
2008-05-30,22.809999,22.940001,22.680000,22.840000,20.315952,25258000
2008-06-02,22.770000,22.770000,22.350000,22.680000,20.173635,31834700
2008-06-03,22.740000,23.570000,22.700001,22.910000,20.378220,50881500
2008-06-04,22.709999,23.150000,22.709999,22.910000,20.378220,35156400
2008-06-05,22.850000,23.209999,22.709999,23.180000,20.618387,31050400
2008-06-06,23.000000,23.059999,22.459999,22.459999,19.977953,41297500
2008-06-09,22.639999,22.670000,22.250000,22.549999,20.058004,26286600
2008-06-10,22.309999,22.670000,22.120001,22.500000,20.013533,28076900
2008-06-11,22.559999,22.780001,22.049999,22.070000,19.631050,28994300
2008-06-12,22.129999,22.260000,21.730000,21.860001,19.444256,35103700
2008-06-13,22.090000,22.660000,21.950001,22.629999,20.129166,31789500
2008-06-16,22.490000,23.000000,22.330000,22.940001,20.404907,32562000
2008-06-17,23.020000,23.020000,22.500000,22.530001,20.040211,27281700
2008-06-18,22.350000,22.670000,22.219999,22.440001,19.960167,23148400
2008-06-19,22.330000,23.000000,22.270000,22.700001,20.191431,41127200
2008-06-20,22.639999,22.680000,21.910000,22.100000,19.657726,52614700
2008-06-23,22.309999,22.410000,21.830000,22.080000,19.639942,32593700
2008-06-24,21.940001,22.440001,21.820000,22.230000,19.773365,28450200
2008-06-25,22.410000,22.850000,22.190001,22.549999,20.058004,61229800
2008-06-26,21.680000,22.219999,21.420000,21.420000,19.052879,70022700
2008-06-27,21.389999,21.709999,20.969999,21.290001,18.937246,40295600
2008-06-30,21.080000,21.350000,21.000000,21.000000,18.679295,36317800
2008-07-01,20.790001,21.340000,20.650000,21.309999,18.955034,47419800
2008-07-02,21.270000,21.400000,20.799999,20.820000,18.519186,32334200
2008-07-03,21.040001,21.190001,20.690001,20.730000,18.439133,21598100
2008-07-07,20.780001,21.330000,20.610001,21.090000,18.759346,34574700
2008-07-08,21.090000,21.600000,20.969999,21.580000,19.195200,38512800
2008-07-09,21.480000,21.610001,21.070000,21.110001,18.777142,41640900
2008-07-10,21.170000,21.420000,20.930000,21.290001,18.937246,31664300
2008-07-11,21.070000,21.250000,20.700001,20.959999,18.643721,36881300
2008-07-14,21.100000,21.190001,20.260000,20.450001,18.190079,38892700
2008-07-15,20.250000,20.450001,19.980000,20.250000,18.012171,51034800
2008-07-16,20.219999,20.549999,20.090000,20.440001,18.181185,37598100
2008-07-17,20.500000,21.040001,20.370001,20.860001,18.554766,37414500
2008-07-18,20.889999,21.250000,20.650000,21.180000,18.839401,35894400
2008-07-21,21.200001,21.420000,21.020000,21.090000,18.759346,21452900
2008-07-22,21.160000,21.620001,21.150000,21.590000,19.204096,32973700
2008-07-23,21.540001,21.590000,21.139999,21.500000,19.124039,32196800
2008-07-24,21.190001,21.389999,20.850000,20.950001,18.634823,30294300
2008-07-25,20.969999,20.980000,20.639999,20.950001,18.634823,22856500
2008-07-28,20.730000,21.100000,20.690001,20.719999,18.430235,20871700
2008-07-29,20.860001,21.570000,20.840000,21.430000,19.061775,31769100
2008-07-30,21.410000,21.450001,20.969999,21.309999,18.955034,31664400
2008-07-31,21.059999,21.900000,20.980000,21.530001,19.150728,37252500
2008-08-01,21.580000,21.690001,21.270000,21.500000,19.124039,25008100
2008-08-04,21.490000,21.590000,21.139999,21.250000,18.901667,26000600
2008-08-05,21.420000,22.219999,21.309999,22.209999,19.755575,42677200
2008-08-06,22.080000,22.910000,22.030001,22.860001,20.333748,42928500
2008-08-07,22.629999,23.020000,22.459999,22.750000,20.235910,38857800
2008-08-08,22.750000,23.620001,22.639999,23.520000,20.920809,47770000
2008-08-11,23.410000,23.520000,22.920000,23.080000,20.529430,33999200
2008-08-12,22.980000,23.010000,22.680000,22.900000,20.369324,29979400
2008-08-13,22.790001,23.150000,22.570000,23.010000,20.467171,26117000
2008-08-14,22.780001,23.400000,22.750000,23.190001,20.627277,32146100
2008-08-15,23.330000,23.450001,22.920000,23.059999,20.511641,26526700
2008-08-18,23.049999,23.230000,22.549999,22.770000,20.253693,23069400
2008-08-19,22.680000,22.770000,22.450001,22.559999,20.066896,22491600
2008-08-20,22.680000,22.950001,22.500000,22.660000,20.155853,21921000
2008-08-21,22.389999,22.450001,22.160000,22.299999,19.835632,22441800
2008-08-22,22.520000,22.820000,22.389999,22.700001,20.191431,18335600
2008-08-25,22.540001,22.709999,22.190001,22.209999,19.755575,20109600
2008-08-26,22.160000,22.379999,22.010000,22.150000,19.702209,16293400
2008-08-27,22.200001,22.570000,22.129999,22.340000,19.871208,21416200
2008-08-28,22.290001,22.730000,22.270000,22.639999,20.138060,18706100
2008-08-29,22.400000,22.430000,21.700001,21.930000,19.506525,35278800
2008-09-02,22.299999,22.370001,21.500000,21.549999,19.168516,43670400
2008-09-03,21.520000,21.570000,21.010000,21.190001,18.848293,40639000
2008-09-04,20.840000,20.889999,19.920000,19.930000,17.727537,80189500
2008-09-05,19.719999,20.320000,19.700001,20.070000,17.852070,47196900
2008-09-08,20.370001,20.650000,18.940001,19.260000,17.131584,93829900
2008-09-09,19.400000,19.850000,19.020000,19.170000,17.051533,62465800
2008-09-10,19.350000,19.400000,19.030001,19.160000,17.042633,52165600
2008-09-11,19.030001,19.400000,18.889999,19.350000,17.211632,49981500
2008-09-12,19.219999,19.670000,19.040001,19.610001,17.442900,39169200
2008-09-15,19.049999,19.490000,18.920000,19.010000,16.909208,41749400
2008-09-16,18.600000,19.049999,18.400000,18.959999,16.864735,61197300
2008-09-17,18.690001,18.820000,18.070000,18.100000,16.099775,50033700
2008-09-18,18.370001,18.950001,17.840000,18.750000,16.677931,76944900
2008-09-19,20.990000,21.000000,15.000000,20.070000,17.852070,76248200
2008-09-22,19.980000,20.760000,19.600000,19.750000,17.567429,39592900
2008-09-23,19.820000,20.549999,19.639999,19.690001,17.514059,42062600
2008-09-24,19.900000,20.500000,19.770000,19.950001,17.745329,32234300
2008-09-25,20.340000,20.820000,20.209999,20.469999,18.207869,40432400
2008-09-26,19.990000,20.850000,19.980000,20.620001,18.341290,39221800
2008-09-29,20.340000,20.530001,18.000000,18.770000,16.695732,59105400
2008-09-30,19.110001,20.410000,19.100000,20.309999,18.065548,51036400
2008-10-01,20.190001,20.190001,19.549999,19.860001,17.665270,35077900
2008-10-02,19.840000,19.990000,19.360001,19.490000,17.336161,43966500
2008-10-03,19.670000,20.540001,19.480000,19.480000,17.327269,53659800
2008-10-06,18.889999,19.299999,17.250000,18.299999,16.277668,79751400
2008-10-07,18.290001,18.500000,16.780001,16.780001,14.925647,64087300
2008-10-08,16.309999,17.629999,16.010000,16.879999,15.014593,75915900
2008-10-09,17.219999,17.559999,16.000000,16.209999,14.418634,58118900
2008-10-10,15.700000,17.030001,15.280000,16.680000,14.836694,96946200
2008-10-13,17.520000,18.870001,17.040001,18.860001,16.775787,54677400
2008-10-14,19.340000,19.440001,17.370001,17.690001,15.735088,59134200
2008-10-15,17.400000,17.730000,15.940000,15.950000,14.187366,55101100
2008-10-16,16.160000,16.990000,15.310000,16.990000,15.112435,70756900
2008-10-17,16.410000,17.990000,16.209999,17.020000,15.139127,52293900
2008-10-20,17.360001,18.160000,17.100000,18.160000,16.153137,42566000
2008-10-21,17.900000,18.410000,17.590000,17.690001,15.735088,46932000
2008-10-22,17.250000,17.500000,16.610001,17.170000,15.272546,46864400
2008-10-23,16.980000,17.469999,16.010000,16.950001,15.076857,62156400
2008-10-24,15.710000,16.709999,15.480000,16.200001,14.409739,54151300
2008-10-27,15.990000,16.770000,15.310000,15.770000,14.027260,62876600
2008-10-28,16.400000,17.680000,15.570000,17.620001,15.672818,47608000
2008-10-29,17.360001,18.370001,16.770000,17.290001,15.379282,58715900
2008-10-30,18.129999,18.610001,17.790001,18.320000,16.295458,71484400
2008-10-31,17.860001,18.620001,17.809999,18.290001,16.268776,55114800
2008-11-03,18.110001,18.410000,18.040001,18.330000,16.304359,28389100
2008-11-04,18.500000,19.000000,18.320000,18.900000,16.811367,38671300
2008-11-05,18.650000,18.760000,17.709999,17.820000,15.850718,37384600
2008-11-06,17.430000,17.580000,16.650000,16.850000,14.987915,54420800
2008-11-07,17.080000,17.660000,16.969999,17.530001,15.592764,35136500
2008-11-10,17.830000,17.840000,17.360001,17.559999,15.619448,24816800
2008-11-11,17.379999,17.520000,16.790001,17.290001,15.379282,35681000
2008-11-12,16.820000,17.040001,16.400000,16.469999,14.649902,44447600
2008-11-13,16.330000,17.750000,15.630000,17.719999,15.761770,62134400
2008-11-14,17.260000,17.790001,16.660000,16.900000,15.032383,51944100
2008-11-17,16.610001,16.990000,16.299999,16.410000,14.596537,41318500
2008-11-18,16.520000,17.030001,15.920000,17.020000,15.139127,55664200
2008-11-19,16.900000,17.299999,15.970000,16.000000,14.231845,65869100
2008-11-20,16.020000,16.760000,15.320000,15.400000,13.698148,67199300
2008-11-21,15.440000,16.490000,15.100000,16.379999,14.569852,73239000
2008-11-24,16.570000,16.990000,16.320000,16.639999,14.801116,75407900
2008-11-25,16.840000,16.850000,15.720000,15.980000,14.214055,73396600
2008-11-26,15.650000,16.250000,15.640000,16.139999,14.356373,52962900
2008-11-28,16.100000,16.150000,15.750000,16.090000,14.311898,19899100
2008-12-01,15.710000,16.040001,15.380000,15.470000,13.760415,51362300
2008-12-02,15.610000,16.020000,15.260000,15.790000,14.045049,41701000
2008-12-03,15.920000,16.150000,15.620000,16.129999,14.347474,72210200
2008-12-04,15.820000,15.990000,15.200000,15.440000,13.733728,48105900
2008-12-05,15.230000,16.400000,15.170000,16.320000,14.516479,57184100
2008-12-08,16.510000,17.320000,16.350000,17.040001,15.156910,49736700
2008-12-09,16.740000,17.670000,16.600000,16.940001,15.067964,44413400
2008-12-10,17.139999,17.590000,16.889999,17.389999,15.468234,36795000
2008-12-11,17.290001,17.290001,16.400000,16.459999,14.641008,36833500
2008-12-12,16.110001,16.940001,16.070000,16.840000,14.979017,33021700
2008-12-15,16.400000,16.639999,16.129999,16.450001,14.632113,37179300
2008-12-16,16.610001,17.400000,16.510000,17.270000,15.361494,57317700
2008-12-17,16.969999,17.040001,16.680000,16.740000,14.890066,38961500
2008-12-18,16.830000,16.969999,16.340000,16.610001,14.774429,45269900
2008-12-19,17.440001,18.160000,16.610001,17.780001,15.815137,90125800
2008-12-22,17.790001,17.790001,17.170000,17.520000,15.583868,32738500
2008-12-23,17.530001,17.760000,17.080000,17.299999,15.388177,26611800
2008-12-24,17.350000,17.450001,17.180000,17.320000,15.405969,8337100
2008-12-26,17.400000,17.459999,17.260000,17.430000,15.503815,9496000
2008-12-29,17.320000,17.400000,17.020000,17.219999,15.317023,21226900
2008-12-30,17.350000,17.860001,17.250000,17.830000,15.859609,24498300
2008-12-31,17.809999,17.990000,17.680000,17.730000,15.770661,23404500
2009-01-02,17.639999,18.480000,17.620001,18.410000,16.375513,27833600
2009-01-05,18.190001,18.250000,17.860001,18.090000,16.090878,28309400
2009-01-06,18.170000,18.700001,18.030001,18.389999,16.357729,29856600
2009-01-07,18.059999,18.250000,17.480000,17.650000,15.699500,38635700
2009-01-08,17.500000,17.670000,17.309999,17.620001,15.672818,35148700
2009-01-09,17.709999,17.709999,17.250000,17.360001,15.441547,32028400
2009-01-12,17.410000,17.469999,16.840000,17.049999,15.165809,34575200
2009-01-13,17.000000,17.320000,16.910000,17.139999,15.245860,32780400
2009-01-14,16.870001,16.920000,16.180000,16.360001,14.552058,39968400
2009-01-15,16.330000,16.680000,15.870000,16.530001,14.703275,45102600
2009-01-16,16.740000,17.059999,16.410000,16.910000,15.041280,38250300
2009-01-20,16.900000,16.980000,16.049999,16.100000,14.320790,34055200
2009-01-21,16.400000,16.920000,16.250000,16.889999,15.023487,56144800
2009-01-22,16.430000,16.930000,16.410000,16.650000,14.810013,36650800
2009-01-23,16.430000,17.020000,16.389999,16.780001,14.925647,34362500
2009-01-26,16.820000,17.360001,16.780001,16.959999,15.085753,27890000
2009-01-27,17.020000,17.430000,16.980000,17.280001,15.370392,27379200
2009-01-28,17.709999,18.010000,17.440001,17.840000,15.868508,32607600
2009-01-29,17.670000,17.870001,17.260000,17.590000,15.646129,27538600
2009-01-30,17.620001,17.760000,16.790001,16.830000,14.970117,33537000
2009-02-02,16.600000,17.100000,16.510000,16.900000,15.032383,25466300
2009-02-03,16.850000,17.059999,16.500000,17.049999,15.165809,31190700
2009-02-04,17.150000,17.629999,17.049999,17.209999,15.308125,26574100
2009-02-05,16.860001,17.700001,16.740000,17.620001,15.672818,35402800
2009-02-06,17.690001,18.070000,17.480000,17.969999,15.984132,29569000
2009-02-09,17.950001,18.090000,17.820000,18.049999,16.055302,23314600
2009-02-10,17.820000,18.090000,17.240000,17.580000,15.637236,44734500
2009-02-11,17.650000,18.010000,17.570000,17.799999,15.832925,28637900
2009-02-12,17.549999,17.610001,16.940001,17.549999,15.610557,42572500
2009-02-13,17.510000,17.959999,17.430000,17.719999,15.761770,27489800
2009-02-17,17.150000,17.340000,16.809999,16.959999,15.085753,41029500
2009-02-18,17.070000,17.510000,17.000000,17.240000,15.334808,41327900
2009-02-19,17.340000,17.370001,16.799999,16.830000,14.970117,32818200
2009-02-20,16.639999,16.750000,16.340000,16.559999,14.729955,46460000
2009-02-23,16.520000,16.680000,15.820000,15.860000,14.107315,32342400
2009-02-24,15.770000,16.500000,15.750000,16.440001,14.623219,37697900
2009-02-25,16.379999,16.570000,16.010000,16.240000,14.445322,33469700
2009-02-26,16.370001,16.370001,15.780000,15.780000,14.036158,36230900
2009-02-27,15.500000,15.830000,15.410000,15.540000,13.822677,52301300
2009-03-02,15.210000,15.690000,15.140000,15.200000,13.520250,47340600
2009-03-03,15.400000,15.450000,14.970000,15.010000,13.351249,39128500
2009-03-04,15.400000,15.480000,14.850000,14.960000,13.306775,71256500
2009-03-05,14.940000,15.280000,14.520000,14.530000,12.924294,67101400
2009-03-06,14.600000,14.860000,14.140000,14.470000,12.870920,52932400
2009-03-09,14.310000,14.700000,13.800000,13.850000,12.319440,60034700
2009-03-10,14.170000,15.190000,14.000000,15.090000,13.422407,58945900
2009-03-11,15.280000,15.460000,14.730000,15.340000,13.644779,46562000
2009-03-12,15.350000,15.680000,15.080000,15.630000,13.902732,27419900
2009-03-13,15.650000,15.700000,15.280000,15.560000,13.840466,30867300
2009-03-16,15.540000,15.800000,14.830000,14.900000,13.253403,39883700
2009-03-17,14.930000,15.600000,14.650000,15.400000,13.698148,52106400
2009-03-18,15.150000,16.090000,15.070000,15.830000,14.080626,58521300
2009-03-19,17.559999,18.090000,17.350000,17.370001,15.450447,112624400
2009-03-20,17.500000,17.709999,17.000000,17.100000,15.210281,75071700
2009-03-23,17.340000,18.250000,17.260000,18.250000,16.233187,46048300
2009-03-24,17.900000,18.219999,17.700001,17.910000,15.930766,32228100
2009-03-25,18.030001,18.340000,17.700001,18.090000,16.090878,34714200
2009-03-26,18.250000,18.680000,18.180000,18.680000,16.615679,34216000
2009-03-27,18.450001,18.450001,17.930000,18.010000,16.019718,34232800
2009-03-30,17.660000,17.700001,17.250000,17.660000,15.708395,33143900
2009-03-31,17.930000,18.389999,17.820000,18.070000,16.073092,34583400
2009-04-01,17.860001,18.680000,17.730000,18.580000,16.526728,37135900
2009-04-02,18.930000,19.299999,18.650000,18.820000,16.740206,46061500
2009-04-03,18.879999,19.450001,18.870001,19.290001,17.158260,40966900
2009-04-06,19.000000,19.110001,18.690001,19.110001,17.042324,29302100
2009-04-07,18.790001,18.860001,18.360001,18.540001,16.534008,29049200
2009-04-08,18.690001,18.760000,18.330000,18.570000,16.560760,25522400
2009-04-09,18.830000,19.200001,18.790001,19.110001,17.042324,25806100
2009-04-13,18.870001,19.230000,18.860001,19.059999,16.997742,21743200
2009-04-14,18.770000,19.010000,18.610001,18.870001,16.828293,30604400
2009-04-15,18.690001,18.740000,18.110001,18.590000,16.578600,28350500
2009-04-16,18.809999,19.290001,18.580000,19.180000,17.104759,30286800
2009-04-17,19.240000,19.450001,18.730000,19.059999,16.997742,32850100
2009-04-20,17.760000,19.080000,17.730000,18.820000,16.783712,84059500
2009-04-21,18.780001,19.850000,18.639999,19.530001,17.416889,66973800
2009-04-22,19.520000,19.750000,19.090000,19.350000,17.256367,40035100
2009-04-23,19.400000,19.709999,19.139999,19.680000,17.550663,36144600
2009-04-24,19.750000,20.180000,19.650000,19.790001,17.648758,42970200
2009-04-27,19.590000,20.280001,19.520000,19.770000,17.630922,29389700
2009-04-28,19.570000,19.930000,19.510000,19.740000,17.604160,25051800
2009-04-29,19.450001,19.799999,19.410000,19.600000,17.479309,28310800
2009-04-30,19.750000,19.940001,19.040001,19.340000,17.247450,49416900
2009-05-01,19.350000,19.440001,19.120001,19.340000,17.247450,20402200
2009-05-04,19.400000,19.440001,18.959999,18.969999,16.917479,38586500
2009-05-05,19.170000,19.190001,18.670000,19.010000,16.953148,29366500
2009-05-06,19.150000,19.190001,18.690001,19.059999,16.997742,27110300
2009-05-07,18.990000,19.150000,18.190001,18.420000,16.426983,54151100
2009-05-08,18.600000,18.780001,18.120001,18.320000,16.337805,41125900
2009-05-11,18.150000,18.830000,18.040001,18.559999,16.551844,32102300
2009-05-12,18.639999,18.670000,18.080000,18.379999,16.391312,33700100
2009-05-13,18.150000,18.340000,17.969999,18.070000,16.114862,29146000
2009-05-14,18.240000,18.580000,18.100000,18.459999,16.462656,26242700
2009-05-15,18.590000,18.740000,18.350000,18.420000,16.426983,22884500
2009-05-18,18.690001,18.940001,18.469999,18.920000,16.872892,22953400
2009-05-19,18.790001,19.209999,18.770000,18.969999,16.917479,23414200
2009-05-20,19.080000,19.400000,18.879999,18.940001,16.890726,29082600
2009-05-21,18.760000,18.830000,18.350000,18.570000,16.560760,26281200
2009-05-22,18.580000,19.090000,18.440001,18.650000,16.632107,24378600
2009-05-26,18.459999,19.200001,18.280001,19.070000,17.006664,28315900
2009-05-27,18.980000,19.450001,18.910000,18.990000,16.935320,27633200
2009-05-28,19.010000,19.370001,18.830000,19.209999,17.131508,25588900
2009-05-29,19.280001,19.600000,19.160000,19.590000,17.470392,42625200
2009-06-01,19.750000,20.020000,19.600000,19.920000,17.764696,31616300
2009-06-02,19.770000,20.440001,19.770000,20.350000,18.148169,31008500
2009-06-03,20.240000,20.510000,20.090000,20.340000,18.139250,27013500
2009-06-04,20.340000,20.670000,20.260000,20.610001,18.380035,30251800
2009-06-05,20.820000,20.900000,20.510000,20.709999,18.469212,26652000
2009-06-08,20.600000,21.070000,20.530001,20.870001,18.611906,34885600
2009-06-09,20.950001,21.200001,20.830000,20.990000,18.718916,23790000
2009-06-10,21.059999,21.190001,20.430000,20.740000,18.495970,33270900
2009-06-11,20.660000,21.200001,20.660000,20.940001,18.674332,26073600
2009-06-12,20.850000,21.000000,19.469999,20.850000,18.594069,23154700
2009-06-15,20.639999,20.650000,20.000000,20.219999,18.032232,40579100
2009-06-16,20.180000,20.270000,19.680000,19.690001,17.559578,41410900
2009-06-17,19.719999,20.170000,19.700001,19.940001,17.782530,33324200
2009-06-18,20.170000,20.459999,19.980000,20.250000,18.058985,34591500
2009-06-19,20.420000,20.920000,20.370001,20.660000,18.424618,51092900
2009-06-22,20.420000,20.750000,19.930000,19.969999,17.809282,38852500
2009-06-23,20.209999,20.209999,19.730000,19.870001,17.720100,39341200
2009-06-24,20.860001,21.750000,20.780001,21.260000,18.959707,99417800
2009-06-25,21.250000,21.709999,21.129999,21.629999,19.289665,49521000
2009-06-26,21.540001,21.540001,21.150000,21.240000,18.941870,37033500
2009-06-29,21.340000,21.709999,21.219999,21.500000,19.173735,28022200
2009-06-30,21.500000,21.750000,21.280001,21.420000,19.102386,32109600
2009-07-01,21.629999,22.000000,21.620001,21.740000,19.387772,28169700
2009-07-02,21.330000,21.340000,20.860001,21.040001,18.763515,27417800
2009-07-06,20.920000,21.040001,20.500000,20.670000,18.433542,37209100
2009-07-07,20.670000,20.780001,20.120001,20.180000,17.996565,35542700
2009-07-08,20.209999,20.790001,19.790001,20.570000,18.344360,55776800
2009-07-09,20.540001,20.770000,20.180000,20.320000,18.121407,31907000
2009-07-10,20.200001,20.629999,20.190001,20.490000,18.273014,22410400
2009-07-13,20.520000,20.730000,20.120001,20.719999,18.523335,26523000
2009-07-14,20.639999,20.719999,20.280001,20.629999,18.442869,22065800
2009-07-15,20.820000,21.530001,20.770000,21.510000,19.229578,32308800
2009-07-16,21.570000,21.770000,21.340000,21.639999,19.345795,24399500
2009-07-17,21.690001,21.740000,21.400000,21.740000,19.435194,21094800
2009-07-20,21.700001,21.830000,21.340000,21.510000,19.229578,28079300
2009-07-21,21.969999,22.000000,21.430000,21.930000,19.605051,36397100
2009-07-22,21.840000,21.980000,21.629999,21.750000,19.444134,26150500
2009-07-23,21.650000,22.400000,21.590000,22.200001,19.846428,33195600
2009-07-24,21.940001,22.480000,21.910000,22.330000,19.962652,24623700
2009-07-27,22.290001,22.309999,21.750000,21.980000,19.649752,23778600
2009-07-28,21.860001,22.320000,21.719999,22.240000,19.882185,26375300
2009-07-29,22.129999,22.280001,21.830000,22.010000,19.676573,21026500
2009-07-30,22.240000,22.469999,21.910000,22.139999,19.792793,28861800
2009-07-31,22.160000,22.420000,22.070000,22.129999,19.783850,24391100
2009-08-03,22.320000,22.379999,22.000000,22.299999,19.935823,24046200
2009-08-04,22.240000,22.280001,21.680000,21.889999,19.569298,28735000
2009-08-05,21.830000,21.850000,21.180000,21.440001,19.167002,36001800
2009-08-06,21.420000,21.940001,21.090000,21.209999,18.961386,28036000
2009-08-07,21.430000,21.840000,21.370001,21.430000,19.158056,25561400
2009-08-10,21.209999,21.410000,21.030001,21.250000,18.997147,19521600
2009-08-11,21.080000,21.410000,21.030001,21.280001,19.023964,25855600
2009-08-12,21.299999,22.100000,21.250000,21.879999,19.560349,34000100
2009-08-13,21.940001,22.030001,21.770000,21.990000,19.658688,25740300
2009-08-14,21.889999,22.080000,21.660000,21.959999,19.631870,24254700
2009-08-17,21.650000,21.750000,21.370001,21.400000,19.131245,19838400
2009-08-18,21.450001,21.959999,21.309999,21.580000,19.292158,16120100
2009-08-19,21.320000,21.840000,21.200001,21.780001,19.470955,22257400
2009-08-20,21.719999,22.049999,21.610001,21.940001,19.613993,21178600
2009-08-21,22.139999,22.139999,21.740000,22.110001,19.765968,29644200
2009-08-24,22.129999,22.490000,22.040001,22.320000,19.953711,22218700
2009-08-25,22.490000,22.549999,22.200001,22.230000,19.873251,30600400
2009-08-26,22.170000,22.260000,22.000000,22.200001,19.846428,18779300
2009-08-27,22.160000,22.209999,21.780001,22.160000,19.810667,20012300
2009-08-28,22.299999,22.610001,22.100000,22.160000,19.810667,23965200
2009-08-31,22.000000,22.190001,21.730000,21.879999,19.560349,26421900
2009-09-01,21.770000,22.309999,21.670000,21.940001,19.613993,34860200
2009-09-02,21.830000,22.030001,21.680000,21.770000,19.462015,21034500
2009-09-03,21.570000,21.600000,21.219999,21.559999,19.274275,28597100
2009-09-04,21.570000,22.100000,21.540001,21.969999,19.640810,17831800
2009-09-08,22.120001,22.120001,21.770000,21.879999,19.560349,24532500
2009-09-09,21.969999,22.580000,21.879999,22.520000,20.132498,31035100
2009-09-10,22.570000,22.799999,22.459999,22.760000,20.347061,23557100
2009-09-11,22.820000,22.950001,22.670000,22.860001,20.436459,22601200
2009-09-14,22.780001,22.930000,22.600000,22.719999,20.311300,24067800
2009-09-15,22.730000,22.879999,22.600000,22.660000,20.257660,24791100
2009-09-16,22.600000,22.610001,21.980000,22.129999,19.783850,86377100
2009-09-17,21.420000,21.760000,21.320000,21.520000,19.238523,92155400
2009-09-18,21.719999,21.870001,21.570000,21.620001,19.327925,70094400
2009-09-21,21.559999,21.820000,21.500000,21.570000,19.283215,25487400
2009-09-22,21.590000,21.709999,21.350000,21.410000,19.140186,34159300
2009-09-23,21.469999,21.469999,21.049999,21.129999,18.889866,40677800
2009-09-24,21.160000,21.350000,21.059999,21.170000,18.925623,28392800
2009-09-25,21.100000,21.200001,20.830000,20.860001,18.648493,35144400
2009-09-28,20.870001,21.340000,20.830000,21.170000,18.925623,28379500
2009-09-29,21.120001,21.379999,21.100000,21.120001,18.880926,23280900
2009-09-30,21.170000,21.200001,20.650000,20.840000,18.630611,44303900
2009-10-01,20.730000,20.750000,20.100000,20.360001,18.201500,45924800
2009-10-02,20.250000,20.639999,20.240000,20.340000,18.183620,41680500
2009-10-05,20.459999,20.680000,20.160000,20.389999,18.228323,34471700
2009-10-06,20.469999,20.600000,20.299999,20.540001,18.362415,37202700
2009-10-07,20.520000,20.950001,20.469999,20.570000,18.389233,41754000
2009-10-08,20.650000,21.059999,20.590000,20.799999,18.594849,46644500
2009-10-09,20.740000,21.030001,20.660000,20.740000,18.585892,39813300
2009-10-12,20.730000,20.920000,20.600000,20.719999,18.567968,32400900
2009-10-13,20.750000,20.980000,20.650000,20.910000,18.738234,27852300
2009-10-14,21.170000,21.500000,21.120001,21.190001,18.989157,41225400
2009-10-15,21.049999,21.320000,20.990000,21.320000,19.105654,30361300
2009-10-16,21.200001,22.030001,21.180000,21.809999,19.544758,65051600
2009-10-19,22.020000,22.490000,21.870001,22.420000,20.091404,51697400
2009-10-20,22.230000,22.340000,21.900000,22.190001,19.885292,35900300
2009-10-21,22.100000,22.400000,22.000000,22.030001,19.741907,31267500
2009-10-22,21.950001,22.260000,21.830000,22.190001,19.885292,27044900
2009-10-23,22.260000,22.469999,21.950001,22.049999,19.759830,31577900
2009-10-26,22.129999,22.379999,21.850000,21.990000,19.706059,28175900
2009-10-27,21.870001,22.230000,21.799999,21.870001,19.598524,28669700
2009-10-28,21.290001,21.500000,20.870001,21.299999,19.087725,30525600
2009-10-29,21.420000,21.469999,21.200001,21.450001,19.222153,32212000
2009-10-30,21.320000,21.610001,21.049999,21.100000,18.908501,37101800
2009-11-02,21.059999,21.219999,20.799999,21.090000,18.899540,27906900
2009-11-03,21.000000,21.059999,20.650000,20.889999,18.720312,20646000
2009-11-04,20.820000,21.200001,20.650000,20.900000,18.729277,32398300
2009-11-05,21.180000,21.520000,21.110001,21.320000,19.105654,22058800
2009-11-06,21.170000,21.580000,21.110001,21.420000,19.195271,22995100
2009-11-09,21.610001,21.870001,21.500000,21.830000,19.562679,22678100
2009-11-10,21.639999,21.879999,21.600000,21.799999,19.535795,22687100
2009-11-11,21.830000,22.049999,21.750000,21.900000,19.625410,19488200
2009-11-12,22.010000,22.129999,21.940001,22.040001,19.750868,24305100
2009-11-13,22.049999,22.360001,21.950001,22.340000,20.019712,24660700
2009-11-16,22.360001,22.889999,22.299999,22.830000,20.458818,33383000
2009-11-17,22.709999,22.799999,22.600000,22.799999,20.431932,26126600
2009-11-18,22.660000,22.820000,22.540001,22.799999,20.431932,14827600
2009-11-19,22.690001,22.709999,22.230000,22.389999,20.064516,17651800
2009-11-20,22.270000,22.389999,22.180000,22.340000,20.019712,24493900
2009-11-23,22.580000,22.719999,22.450001,22.600000,20.252708,22713600
2009-11-24,22.700001,22.700001,22.090000,22.139999,19.840488,24232600
2009-11-25,22.340000,22.719999,22.200001,22.600000,20.252708,24123500
2009-11-27,22.160000,22.299999,22.000000,22.090000,19.795675,12569100
2009-11-30,22.010000,22.150000,21.799999,22.080000,19.786716,26291700
2009-12-01,22.160000,22.570000,22.080000,22.440001,20.109324,28447900
2009-12-02,22.530001,22.750000,22.410000,22.660000,20.306475,21160800
2009-12-03,22.660000,22.910000,22.600000,22.639999,20.288553,22492500
2009-12-04,22.809999,23.000000,22.549999,22.830000,20.458818,27814200
2009-12-07,22.719999,22.889999,22.350000,22.480000,20.145168,24138100
2009-12-08,22.309999,22.360001,21.889999,21.910000,19.634371,27902700
2009-12-09,21.990000,22.020000,21.620001,21.950001,19.670216,28550400
2009-12-10,22.330000,22.670000,22.230000,22.590000,20.243748,34877300
2009-12-11,22.700001,22.860001,22.490000,22.780001,20.414011,26741900
2009-12-14,22.959999,23.440001,22.910000,23.309999,20.888960,32293900
2009-12-15,23.110001,23.459999,23.059999,23.160000,20.754543,24653700
2009-12-16,23.350000,23.459999,23.080000,23.120001,20.718704,30037100
2009-12-17,23.070000,23.190001,22.770000,22.879999,20.503620,35972600
2009-12-18,24.010000,24.740000,23.980000,24.340000,21.811977,88246400
2009-12-21,24.389999,24.570000,24.219999,24.430000,21.892643,26935500
2009-12-22,24.510000,24.629999,24.240000,24.459999,21.919521,23847200
2009-12-23,24.459999,24.750000,24.360001,24.730000,22.161478,19257800
2009-12-24,24.719999,24.959999,24.670000,24.950001,22.358633,7782700
2009-12-28,24.830000,24.990000,24.719999,24.969999,22.376558,15927500
2009-12-29,25.010000,25.110001,24.910000,25.010000,22.412395,16214100
2009-12-30,24.920000,25.049999,24.700001,24.930000,22.340710,18697400
2009-12-31,24.940001,24.950001,24.480000,24.530001,21.982254,17714100
2010-01-04,24.660000,25.190001,24.660000,24.850000,22.269018,26795000
2010-01-05,24.719999,24.850000,24.350000,24.820000,22.242130,28669900
2010-01-06,24.770000,24.920000,24.379999,24.459999,21.919521,24560700
2010-01-07,24.459999,24.610001,24.080000,24.379999,21.847832,30469700
2010-01-08,24.280001,24.750000,24.250000,24.680000,22.116669,23542400
2010-01-11,24.690001,24.799999,24.370001,24.690001,22.125635,19002400
2010-01-12,24.559999,24.610001,24.309999,24.559999,22.009134,26204600
2010-01-13,24.629999,24.990000,24.549999,24.799999,22.224213,24912300
2010-01-14,25.129999,25.580000,25.049999,25.340000,22.754000,44685200
2010-01-15,25.469999,25.639999,24.990000,25.240000,22.664200,42296200
2010-01-19,25.320000,25.500000,25.120001,25.330000,22.745018,22732200
2010-01-20,25.049999,25.129999,24.510000,25.059999,22.502575,39971500
2010-01-21,25.190001,25.540001,24.590000,24.830000,22.296047,41756100
2010-01-22,24.940001,25.049999,24.110001,24.150000,21.685442,33681500
2010-01-25,24.240000,24.270000,23.820000,24.030001,21.577684,26366600
2010-01-26,23.930000,24.129999,23.700001,23.879999,21.442997,28746000
2010-01-27,23.900000,24.049999,23.540001,23.860001,21.425037,28819300
2010-01-28,24.080000,24.180000,23.290001,23.469999,21.074833,41245700
2010-01-29,23.650000,23.830000,22.980000,23.059999,20.706678,49957800
2010-02-01,23.360001,23.379999,22.860001,23.219999,20.850351,29572800
2010-02-02,23.330000,23.850000,23.240000,23.760000,21.335239,32150600
2010-02-03,23.750000,23.840000,23.520000,23.750000,21.326262,23101100
2010-02-04,23.610001,23.780001,23.100000,23.110001,20.751577,33254900
2010-02-05,23.350000,23.670000,23.070000,23.549999,21.146669,45919600
2010-02-08,23.540001,23.650000,23.100000,23.120001,20.760561,32929200
2010-02-09,23.469999,23.719999,23.250000,23.510000,21.110752,34084100
2010-02-10,23.510000,23.610001,22.920000,23.110001,20.751577,40139200
2010-02-11,23.059999,23.510000,22.830000,23.350000,20.967085,28159000
2010-02-12,23.110001,23.500000,22.969999,23.410000,21.020958,33657700
2010-02-16,23.690001,23.850000,23.440001,23.809999,21.380136,21582200
2010-02-17,23.950001,24.280001,23.940001,24.180000,21.712378,26147200
2010-02-18,24.110001,24.570000,24.059999,24.520000,22.017681,31679100
2010-02-19,24.410000,24.540001,24.180000,24.320000,21.838091,25941000
2010-02-22,24.590000,24.980000,24.440001,24.809999,22.278082,37081800
2010-02-23,24.809999,24.889999,24.379999,24.480000,21.981766,25098300
2010-02-24,24.629999,24.830000,24.459999,24.770000,22.242170,24530400
2010-02-25,24.450001,24.900000,24.209999,24.870001,22.331961,29145200
2010-02-26,24.959999,24.959999,24.540001,24.650000,22.134411,21048700
2010-03-01,24.600000,24.910000,24.540001,24.740000,22.215231,19744300
2010-03-02,24.790001,24.950001,24.520000,24.580000,22.071558,23535000
2010-03-03,24.510000,24.690001,24.400000,24.500000,21.999725,20726400
2010-03-04,24.469999,24.860001,24.280001,24.760000,22.233185,20925500
2010-03-05,24.860001,25.000000,24.840000,24.950001,22.403803,19312900
2010-03-08,24.969999,24.969999,24.680000,24.700001,22.179310,16843600
2010-03-09,24.600000,25.100000,24.559999,24.879999,22.340944,21835800
2010-03-10,24.790001,25.020000,24.680000,24.870001,22.331961,23095900
2010-03-11,24.799999,25.250000,24.799999,25.139999,22.574409,24214600
2010-03-12,25.120001,25.190001,24.730000,25.049999,22.493589,35344700
2010-03-15,24.920000,25.379999,24.879999,25.280001,22.700123,22025300
2010-03-16,25.379999,25.410000,24.900000,25.209999,22.637262,25478300
2010-03-17,25.230000,25.700001,25.139999,25.469999,22.870733,30309400
2010-03-18,25.430000,25.600000,25.270000,25.379999,22.789921,29185800
2010-03-19,25.549999,25.730000,24.950001,25.190001,22.619307,45881000
2010-03-22,25.190001,25.700001,25.160000,25.559999,22.951548,24945500
2010-03-23,25.670000,26.000000,25.540001,25.990000,23.337660,25834200
2010-03-24,25.980000,26.000000,25.700001,25.760000,23.131136,28837000
2010-03-25,25.950001,26.250000,25.719999,26.040001,23.382563,54350900
2010-03-26,25.700001,26.000000,25.370001,25.690001,23.068281,58562200
2010-03-29,25.650000,25.850000,25.410000,25.570000,22.960526,28975300
2010-03-30,25.480000,25.580000,25.219999,25.540001,22.933590,29819400
2010-03-31,25.330000,25.790001,25.299999,25.709999,23.086243,27196400
2010-04-01,25.780001,25.950001,25.190001,25.459999,22.861746,26562700
2010-04-05,25.510000,25.740000,25.350000,25.580000,22.969511,19390200
2010-04-06,25.370001,25.940001,25.299999,25.830000,23.193996,26937600
2010-04-07,25.760000,25.990000,25.750000,25.910000,23.265827,29833200
2010-04-08,25.879999,26.080000,25.719999,25.830000,23.193996,28266100
2010-04-09,25.799999,26.139999,25.650000,26.129999,23.463377,19663700
2010-04-12,26.059999,26.280001,25.850000,26.200001,23.571341,24773300
2010-04-13,26.010000,26.629999,26.000000,26.350000,23.706291,33933000
2010-04-14,26.340000,26.500000,26.200001,26.379999,23.733274,27920000
2010-04-15,26.290001,26.400000,26.139999,26.200001,23.571341,23828200
2010-04-16,26.090000,26.370001,25.910000,25.950001,23.346418,42289300
2010-04-19,25.980000,26.299999,25.870001,26.190001,23.562346,27078800
2010-04-20,26.379999,26.410000,26.020000,26.150000,23.526352,23703400
2010-04-21,26.120001,26.330000,25.980000,26.290001,23.652308,24276800
2010-04-22,26.139999,26.309999,25.860001,26.240000,23.607321,27275800
2010-04-23,26.170000,26.520000,26.160000,26.480000,23.823246,27478900
2010-04-26,26.500000,26.610001,26.250000,26.469999,23.814247,20080500
2010-04-27,26.340000,26.520000,25.900000,25.980000,23.373409,26235700
2010-04-28,26.020000,26.110001,25.780001,25.860001,23.265450,31820300
2010-04-29,25.990000,26.139999,25.709999,25.969999,23.364410,18620100
2010-04-30,26.070000,26.100000,25.690001,25.870001,23.274448,25567400
2010-05-03,26.049999,26.150000,25.709999,26.010000,23.400402,19357000
2010-05-04,25.580000,25.670000,24.709999,24.969999,22.464743,48382700
2010-05-05,24.850000,25.120001,24.629999,24.940001,22.437754,33663600
2010-05-06,24.860001,24.969999,22.200001,23.910000,21.511091,56242000
2010-05-07,23.920000,24.250000,23.110001,23.410000,21.061262,63592900
2010-05-10,24.030001,25.129999,23.990000,24.389999,21.942932,38947200
2010-05-11,24.250000,24.610001,24.110001,24.190001,21.762999,29469800
2010-05-12,24.209999,24.700001,24.190001,24.600000,22.131866,27116300
2010-05-13,24.420000,24.549999,24.200001,24.240000,21.807985,22780300
2010-05-14,24.100000,24.120001,23.540001,23.780001,21.394142,28736600
2010-05-17,23.889999,23.889999,23.330000,23.740000,21.358147,22401200
2010-05-18,23.799999,23.950001,23.309999,23.430000,21.079250,29926200
2010-05-19,23.219999,23.500000,23.020000,23.190001,20.863335,29806500
2010-05-20,22.950001,23.030001,22.340000,22.350000,20.107609,40313300
2010-05-21,21.620001,22.360001,21.549999,22.160000,19.936666,63119700
2010-05-24,22.040001,22.670000,21.850000,22.280001,20.044636,32817400
2010-05-25,21.770000,22.200001,21.629999,22.200001,19.972660,41173900
2010-05-26,22.320000,22.620001,21.750000,21.910000,19.711750,43317600
2010-05-27,22.350000,22.610001,22.270000,22.580000,20.314533,29881400
2010-05-28,22.480000,22.850000,22.280001,22.570000,20.305536,35878200
2010-06-01,22.420000,22.840000,22.150000,22.200001,19.972660,32336200
2010-06-02,22.299999,22.670000,21.900000,22.639999,20.368515,28371600
2010-06-03,22.709999,22.950001,22.540001,22.840000,20.548445,28583600
2010-06-04,22.540001,22.959999,22.040001,22.129999,19.909679,35094700
2010-06-07,22.129999,22.290001,21.690001,21.700001,19.522821,25656900
2010-06-08,21.650000,21.780001,21.299999,21.760000,19.576809,29552600
2010-06-09,21.770000,22.090000,21.480000,21.540001,19.378881,22198300
2010-06-10,21.879999,22.240000,21.730000,22.200001,19.972660,25018200
2010-06-11,22.030001,22.750000,21.990000,22.690001,20.413498,30179600
2010-06-14,23.020000,23.080000,22.660000,22.690001,20.413498,22318600
2010-06-15,22.790001,23.240000,22.660000,23.200001,20.872334,24304500
2010-06-16,23.059999,23.219999,22.879999,23.180000,20.854338,20702000
2010-06-17,23.110001,23.180000,22.920000,23.070000,20.755371,22376600
2010-06-18,23.260000,23.260000,22.969999,23.200001,20.872334,29538900
2010-06-21,23.370001,23.660000,22.980000,23.090000,20.773371,19526100
2010-06-22,23.240000,23.490000,22.879999,22.889999,20.593435,19107800
2010-06-23,22.969999,23.010000,22.629999,22.680000,20.404497,23533600
2010-06-24,22.490000,22.700001,22.139999,22.219999,19.990658,30313500
2010-06-25,23.139999,23.250000,22.559999,22.660000,20.386507,62583800
2010-06-28,22.840000,22.850000,22.389999,22.450001,20.197578,24643100
2010-06-29,22.020000,22.100000,21.580000,21.750000,19.567808,34229000
2010-06-30,21.639999,21.959999,21.389999,21.459999,19.306902,35301600
2010-07-01,21.459999,21.680000,21.240000,21.549999,19.387875,38318200
2010-07-02,21.709999,22.030001,21.490000,21.830000,19.639786,31784000
2010-07-06,22.000000,22.709999,22.000000,22.320000,20.080622,39642400
2010-07-07,22.700001,23.120001,22.600000,23.090000,20.773371,36663500
2010-07-08,23.139999,23.340000,22.959999,23.219999,20.890324,27335600
2010-07-09,23.250000,23.389999,23.139999,23.370001,21.025274,16258800
2010-07-12,23.209999,23.480000,23.110001,23.379999,21.079367,19312200
2010-07-13,23.500000,23.860001,23.459999,23.709999,21.376894,22207700
2010-07-14,23.850000,24.190001,23.719999,23.940001,21.584263,34781800
2010-07-15,23.830000,23.900000,23.500000,23.830000,21.485086,26060700
2010-07-16,23.799999,23.950001,23.250000,23.270000,20.980192,30343000
2010-07-19,23.480000,23.670000,23.400000,23.590000,21.268702,19688200
2010-07-20,23.270000,23.969999,23.040001,23.920000,21.566231,38192700
2010-07-21,23.860001,23.969999,23.459999,23.559999,21.241657,38740000
2010-07-22,23.719999,24.410000,23.700001,24.309999,21.917854,32726500
2010-07-23,24.200001,24.580000,24.150000,24.500000,22.089161,29755500
2010-07-26,24.450001,24.670000,24.350000,24.639999,22.215380,27093000
2010-07-27,24.600000,24.680000,24.320000,24.570000,22.152269,23800600
2010-07-28,24.549999,24.590000,24.170000,24.280001,21.890812,21200100
2010-07-29,24.250000,24.389999,23.629999,23.700001,21.367882,39976700
2010-07-30,23.570000,23.830000,23.400000,23.639999,21.313786,48321700
2010-08-02,23.870001,24.389999,23.719999,24.290001,21.899828,26652000
2010-08-03,24.309999,24.340000,24.059999,24.209999,21.827694,16366100
2010-08-04,24.290001,24.590000,24.170000,24.490000,22.080143,19989600
2010-08-05,24.280001,24.440001,24.139999,24.290001,21.899828,18723600
2010-08-06,24.010000,24.400000,23.900000,24.379999,21.980967,33734300
2010-08-09,24.400000,24.590000,24.240000,24.260000,21.872774,20551400
2010-08-10,24.100000,24.430000,23.920000,24.290001,21.899828,28063400
2010-08-11,23.910000,23.940001,23.559999,23.660000,21.331818,25666300
2010-08-12,23.240000,23.389999,22.730000,22.940001,20.682667,33737300
2010-08-13,22.760000,22.940001,22.510000,22.660000,20.430218,29793400
2010-08-16,22.510000,23.000000,22.350000,22.719999,20.484314,19511700
2010-08-17,22.860001,23.240000,22.719999,23.049999,20.781841,22483000
2010-08-18,22.910000,23.250000,22.799999,23.090000,20.817907,18984200
2010-08-19,22.860001,23.160000,22.820000,23.000000,20.736761,26754800
2010-08-20,22.950001,23.080000,22.770000,23.020000,20.754795,21985400
2010-08-23,23.059999,23.299999,22.830000,22.840000,20.592501,18250200
2010-08-24,22.610001,22.790001,22.379999,22.410000,20.204819,23293400
2010-08-25,22.219999,22.549999,22.030001,22.420000,20.213837,18685900
2010-08-26,22.540001,22.730000,22.190001,22.250000,20.060562,18884700
2010-08-27,22.379999,22.549999,21.950001,22.510000,20.294973,21375200
2010-08-30,22.340000,22.620001,22.000000,22.020000,19.853195,23318300
2010-08-31,21.920000,21.930000,21.660000,21.840000,19.690910,41712400
2010-09-01,22.150000,22.650000,22.100000,22.620001,20.394157,29085400
2010-09-02,22.610001,22.719999,22.350000,22.480000,20.267927,18057800
2010-09-03,22.790001,22.940001,22.570000,22.920000,20.664639,21256900
2010-09-07,24.559999,24.690001,24.010000,24.260000,21.872774,113824400
2010-09-08,24.070000,24.230000,23.879999,24.139999,21.764582,54705500
2010-09-09,24.320000,24.500000,24.209999,24.330000,21.935886,25963700
2010-09-10,24.420000,25.150000,24.379999,25.049999,22.585032,44266700
2010-09-13,25.139999,25.420000,25.110001,25.110001,22.639135,46816700
2010-09-14,25.040001,25.580000,25.040001,25.379999,22.882566,31261800
2010-09-15,25.270000,25.790001,25.170000,25.740000,23.207140,37563600
2010-09-16,25.680000,25.709999,25.209999,25.360001,22.864531,52951000
2010-09-17,26.440001,27.629999,26.400000,27.480000,24.775921,150976500
2010-09-20,27.350000,27.570000,27.030001,27.490000,24.784943,49729800
2010-09-21,27.330000,27.360001,26.700001,26.820000,24.180864,82733900
2010-09-22,26.660000,27.330000,26.639999,27.200001,24.523476,51969100
2010-09-23,26.959999,27.490000,26.959999,27.120001,24.451349,33123300
2010-09-24,27.440001,27.500000,26.740000,26.959999,24.307089,58136200
2010-09-27,26.860001,27.120001,26.780001,26.950001,24.298080,34142900
2010-09-28,27.059999,27.400000,26.790001,27.190001,24.514460,43256700
2010-09-29,27.070000,27.299999,26.930000,27.170000,24.496433,36626800
2010-09-30,27.280001,27.410000,26.809999,26.850000,24.207918,42880900
2010-10-01,27.180000,27.610001,27.139999,27.240000,24.559532,33690400
2010-10-04,27.020000,27.360001,26.889999,26.900000,24.297598,36791900
2010-10-05,27.209999,27.350000,27.059999,27.299999,24.658895,42520100
2010-10-06,27.299999,27.860001,27.240000,27.580000,24.911806,50631600
2010-10-07,27.629999,27.889999,27.540001,27.690001,25.011168,40611400
2010-10-08,27.590000,28.080000,27.309999,28.000000,25.291172,33162900
2010-10-11,27.900000,28.100000,27.730000,27.850000,25.155684,22649500
2010-10-12,27.750000,28.000000,27.410000,27.950001,25.246014,27552500
2010-10-13,28.000000,28.910000,26.980000,28.600000,25.833130,49145300
2010-10-14,28.660000,28.700001,28.110001,28.330000,25.589251,38136000
2010-10-15,28.469999,28.910000,28.160000,28.900000,26.104105,54775500
2010-10-18,28.730000,29.230000,28.580000,29.230000,26.402184,35810300
2010-10-19,28.940001,29.240000,28.450001,29.129999,26.311853,44673600
2010-10-20,29.010000,29.180000,28.600000,28.639999,25.869255,39081700
2010-10-21,28.799999,29.139999,28.570000,28.820000,26.031841,30191100
2010-10-22,28.840000,29.030001,28.730000,28.990000,26.185400,16499800
2010-10-25,29.150000,29.290001,28.809999,28.840000,26.049915,30650400
2010-10-26,28.709999,28.840000,28.540001,28.629999,25.860228,28045400
2010-10-27,28.549999,28.820000,28.360001,28.700001,25.923460,33890100
2010-10-28,28.820000,29.480000,28.500000,29.360001,26.519608,35130600
2010-10-29,29.360001,29.709999,29.299999,29.379999,26.537668,35074300
2010-11-01,29.520000,29.549999,28.930000,29.129999,26.311853,21100000
2010-11-02,29.490000,29.570000,29.260000,29.530001,26.673159,24201900
2010-11-03,29.549999,29.570000,28.990000,29.200001,26.375088,30003800
2010-11-04,29.610001,29.820000,29.100000,29.469999,26.618959,35709700
2010-11-05,29.299999,29.500000,28.980000,29.250000,26.420250,28312700
2010-11-08,29.080000,29.190001,28.840000,29.040001,26.230560,27179000
2010-11-09,29.059999,29.250000,28.610001,28.740000,25.959583,34625800
2010-11-10,28.639999,28.840000,28.360001,28.690001,25.914425,27841000
2010-11-11,28.190001,28.580000,27.680000,28.570000,25.806034,37211000
2010-11-12,28.500000,28.610001,28.090000,28.320000,25.580215,25818800
2010-11-15,28.350000,28.770000,28.280001,28.400000,25.652479,21636700
2010-11-16,28.010000,28.100000,27.500000,27.580000,24.911806,31206600
2010-11-17,27.510000,28.110001,27.490000,27.910000,25.209887,24642700
2010-11-18,28.370001,28.590000,28.160000,28.309999,25.571182,32649200
2010-11-19,28.320000,28.370001,28.030001,28.150000,25.426659,25890900
2010-11-22,27.889999,28.090000,27.790001,28.049999,25.336340,27618000
2010-11-23,27.750000,27.820000,27.080000,27.190001,24.559540,31294200
2010-11-24,27.670000,27.879999,27.620001,27.740000,25.056328,34983800
2010-11-26,27.580000,27.620001,27.340000,27.490000,24.830517,12887500
2010-11-29,27.170000,27.340000,26.910000,27.219999,24.586634,32610700
2010-11-30,26.920000,27.129999,26.809999,27.049999,24.433081,38931000
2010-12-01,27.540001,27.690001,27.410000,27.650000,24.975037,34781300
2010-12-02,27.809999,28.180000,27.690001,28.100000,25.381506,32129900
2010-12-03,28.080000,28.900000,28.059999,28.809999,26.022820,34454600
2010-12-06,28.850000,28.959999,28.639999,28.730000,25.950556,21150300
2010-12-07,29.059999,29.370001,28.940001,29.049999,26.239595,32190500
2010-12-08,29.260000,29.280001,29.000000,29.230000,26.402184,14874800
2010-12-09,29.350000,29.490000,29.040001,29.260000,26.429276,18260200
2010-12-10,29.440001,29.980000,29.420000,29.940001,27.043491,28562000
2010-12-13,29.990000,30.719999,29.570000,30.420000,27.477058,45575200
2010-12-14,30.360001,30.750000,30.360001,30.510000,27.558352,25351800
2010-12-15,30.590000,30.700001,30.260000,30.490000,27.540285,30537600
2010-12-16,30.700001,30.770000,30.250000,30.270000,27.341566,47435600
2010-12-17,31.920000,32.270000,31.370001,31.459999,28.416441,92487100
2010-12-20,31.540001,31.940001,31.110001,31.670000,28.606129,33568100
2010-12-21,31.650000,32.000000,31.590000,31.760000,28.687416,20002800
2010-12-22,31.680000,31.879999,31.559999,31.660000,28.597097,14019200
2010-12-23,31.530001,31.700001,31.410000,31.540001,28.488695,13049400
2010-12-27,31.400000,31.799999,31.240000,31.660000,28.597097,13822100
2010-12-28,31.660000,31.760000,31.410000,31.570000,28.515797,9736000
2010-12-29,31.530001,31.690001,31.420000,31.500000,28.452570,9769000
2010-12-30,31.450001,31.580000,31.209999,31.290001,28.262892,12989400
2010-12-31,31.219999,31.330000,30.930000,31.299999,28.271923,11716300
2011-01-03,31.590000,31.940001,31.520000,31.620001,28.560963,20970400
2011-01-04,31.600000,31.750000,31.139999,31.480000,28.434509,22870800
2011-01-05,31.320000,31.440001,30.980000,31.040001,28.037079,36339600
2011-01-06,31.190001,31.200001,31.020000,31.170000,28.154495,21859400
2011-01-07,31.240000,31.340000,30.930000,31.030001,28.028044,27697900
2011-01-10,30.850000,31.219999,30.799999,31.040001,28.037079,29719600
2011-01-11,31.080000,31.100000,30.860001,30.990000,27.991909,26395300
2011-01-12,31.219999,31.230000,30.940001,30.940001,27.946753,33963700
2011-01-13,30.969999,31.389999,30.900000,31.180000,28.163532,43412400
2011-01-14,31.020000,31.340000,30.940001,31.250000,28.272091,37934100
2011-01-18,31.260000,31.549999,31.230000,31.530001,28.525421,26975900
2011-01-19,31.360001,31.610001,31.270000,31.600000,28.588745,26939000
2011-01-20,31.469999,32.349998,31.469999,32.310001,29.231081,47750700
2011-01-21,32.470001,32.669998,32.340000,32.509998,29.412029,34482100
2011-01-24,32.580002,32.650002,32.070000,32.400002,29.312511,20170200
2011-01-25,32.389999,32.439999,31.940001,32.290001,29.212997,25926600
2011-01-26,32.310001,32.730000,32.160000,32.560001,29.457266,21485600
2011-01-27,32.619999,33.090000,32.160000,32.919998,29.782955,25635600
2011-01-28,33.200001,33.299999,31.830000,32.000000,28.950623,30820300
2011-01-31,31.950001,32.200001,31.840000,32.029999,28.977764,20820100
2011-02-01,32.169998,33.430000,32.110001,33.240002,30.072464,32573400
2011-02-02,33.090000,33.560001,33.000000,33.139999,29.981997,19358200
2011-02-03,32.980000,33.160000,32.720001,32.990002,29.846289,17600900
2011-02-04,32.919998,32.980000,32.529999,32.619999,29.511547,38691800
2011-02-07,32.700001,33.290001,32.549999,32.980000,29.837240,22785100
2011-02-08,33.020000,33.160000,32.720001,33.029999,29.882475,15418400
2011-02-09,33.040001,33.099998,32.610001,32.889999,29.755817,17112700
2011-02-10,32.779999,33.259998,32.660000,33.259998,30.090549,17237600
2011-02-11,33.070000,33.590000,33.029999,33.470001,30.280546,17402300
2011-02-14,33.290001,33.540001,33.240002,33.290001,30.117701,16438000
2011-02-15,33.119999,33.150002,32.610001,32.759998,29.638206,19332100
2011-02-16,32.849998,33.139999,32.610001,33.110001,29.954857,15829000
2011-02-17,32.970001,33.200001,32.759998,33.009998,29.864382,14568900
2011-02-18,33.020000,33.709999,32.910000,33.680000,30.470543,25539900
2011-02-22,33.290001,33.660000,32.520000,32.529999,29.430117,24887800
2011-02-23,32.549999,32.650002,32.020000,32.180000,29.113476,22154100
2011-02-24,32.099998,32.410000,31.639999,32.250000,29.176805,23416200
2011-02-25,32.290001,33.080002,32.270000,32.950001,29.810099,20850400
2011-02-28,33.060001,33.230000,32.680000,32.900002,29.764864,19406700
2011-03-01,33.020000,33.080002,31.610001,31.670000,28.652069,30423200
2011-03-02,31.580000,32.360001,31.549999,32.119999,29.059193,23091500
2011-03-03,32.470001,33.189999,32.430000,33.029999,29.882475,24169800
2011-03-04,32.990002,33.099998,32.220001,32.759998,29.638206,19148900
2011-03-07,32.970001,33.060001,31.889999,32.099998,29.041094,20474300
2011-03-08,32.340000,33.009998,32.189999,32.740002,29.620106,21891800
2011-03-09,32.630001,33.139999,32.419998,32.790001,29.665344,17217800
2011-03-10,32.369999,32.459999,31.510000,31.799999,28.769690,29054200
2011-03-11,31.730000,32.400002,31.340000,31.910000,28.869198,23705900
2011-03-14,31.520000,31.860001,31.270000,31.590000,28.579700,18656500
2011-03-15,30.240000,31.299999,29.820000,31.170000,28.199720,34600300
2011-03-16,30.920000,31.059999,29.620001,30.200001,27.322161,45026200
2011-03-17,30.690001,31.049999,30.340000,30.549999,27.638798,31529500
2011-03-18,30.980000,31.190001,30.610001,30.760000,27.828793,34862100
2011-03-21,31.450001,31.850000,31.299999,31.420000,28.425896,23199400
2011-03-22,31.389999,31.540001,31.059999,31.129999,28.163530,20051900
2011-03-23,31.219999,31.709999,30.830000,31.410000,28.416843,23159700
2011-03-24,31.780001,32.330002,31.500000,32.139999,29.077290,38277500
2011-03-25,33.740002,34.099998,32.580002,32.639999,29.529640,64967600
2011-03-28,32.830002,32.889999,32.400002,32.560001,29.457266,31399500
2011-03-29,32.400002,33.160000,32.360001,33.160000,30.000090,29950300
2011-03-30,33.270000,33.430000,33.000000,33.049999,29.900568,25718200
2011-03-31,33.000000,33.630001,32.950001,33.430000,30.244358,38234200
2011-04-01,33.700001,34.099998,33.610001,34.020000,30.778145,43176800
2011-04-04,34.090000,34.430000,34.009998,34.139999,30.886692,26743000
2011-04-05,34.290001,34.400002,33.910000,33.919998,30.687664,30286100
2011-04-06,34.200001,34.200001,33.490002,33.580002,30.380070,24782200
2011-04-07,33.599998,34.070000,33.299999,33.720001,30.506727,22723600
2011-04-08,33.880001,33.930000,33.310001,33.540001,30.343878,16136500
2011-04-11,33.540001,33.849998,33.540001,33.779999,30.615780,15960300
2011-04-12,33.570000,33.630001,33.080002,33.400002,30.271368,16948600
2011-04-13,33.570000,33.970001,33.490002,33.700001,30.543268,24345500
2011-04-14,33.330002,33.880001,33.200001,33.799999,30.633902,17962100
2011-04-15,33.980000,34.299999,33.680000,34.180000,30.978304,25468400
2011-04-18,33.669998,33.779999,33.279999,33.630001,30.479822,20226500
2011-04-19,33.540001,33.840000,33.480000,33.669998,30.516077,20452400
2011-04-20,34.180000,34.369999,33.830002,34.110001,30.914864,24798400
2011-04-21,34.110001,34.790001,34.099998,34.750000,31.494921,21125800
2011-04-25,34.700001,34.860001,34.560001,34.830002,31.567423,12163000
2011-04-26,34.810001,35.279999,34.720001,34.970001,31.694307,30391000
2011-04-27,35.049999,35.290001,34.830002,35.250000,31.948076,21990200
2011-04-28,35.029999,35.349998,34.709999,35.290001,31.984322,22995700
2011-04-29,35.290001,36.049999,35.209999,35.959999,32.591564,94242100
2011-05-02,35.840000,36.439999,35.830002,36.369999,32.963165,30058600
2011-05-03,36.450001,36.500000,35.869999,36.139999,32.754711,24946200
2011-05-04,36.119999,36.169998,34.950001,35.250000,31.948076,38886400
2011-05-05,35.049999,35.369999,34.570000,34.669998,31.422398,23245400
2011-05-06,35.119999,35.560001,34.830002,34.869999,31.603664,23885400
2011-05-09,34.889999,35.450001,34.810001,35.200001,31.902761,16272500
2011-05-10,35.490002,35.660000,35.230000,35.619999,32.283428,17015600
2011-05-11,35.529999,35.700001,34.720001,34.980000,31.703384,20854300
2011-05-12,34.900002,35.750000,34.810001,35.730000,32.383102,23096900
2011-05-13,35.770000,35.919998,35.139999,35.189999,31.893700,20438800
2011-05-16,35.080002,35.090000,34.020000,34.180000,30.978304,31350300
2011-05-17,34.029999,34.290001,33.709999,33.939999,30.760784,27856100
2011-05-18,34.000000,34.230000,33.549999,33.910000,30.733601,30005900
2011-05-19,34.049999,34.570000,33.990002,34.500000,31.268326,22741400
2011-05-20,34.459999,34.599998,34.040001,34.270000,31.059881,16484100
2011-05-23,33.680000,33.740002,32.959999,33.160000,30.053852,29985800
2011-05-24,33.270000,33.419998,32.919998,33.040001,29.945097,21893400
2011-05-25,33.000000,33.380001,32.930000,32.990002,29.899784,23042300
2011-05-26,33.139999,33.590000,33.009998,33.400002,30.271368,20948100
2011-05-27,33.419998,33.849998,33.400002,33.700001,30.543268,16918600
2011-05-31,33.910000,34.230000,33.320000,34.220001,31.014557,30783300
2011-06-01,34.230000,34.299999,32.830002,32.880001,29.800085,31762600
2011-06-02,32.869999,32.880001,32.080002,32.720001,29.655066,38255500
2011-06-03,32.240002,32.759998,32.209999,32.330002,29.301600,23808200
2011-06-06,32.150002,32.580002,32.070000,32.189999,29.174709,21677600
2011-06-07,32.240002,32.299999,31.830000,31.840000,28.857496,28218700
2011-06-08,31.750000,31.850000,31.139999,31.250000,28.322758,36607500
2011-06-09,31.360001,31.930000,31.280001,31.629999,28.667170,21647100
2011-06-10,31.420000,31.650000,31.120001,31.180000,28.259325,23747000
2011-06-13,31.250000,31.850000,31.120001,31.629999,28.667170,26716600
2011-06-14,31.990000,32.200001,31.830000,32.080002,29.075016,23067400
2011-06-15,31.730000,31.990000,31.059999,31.160000,28.241192,34512600
2011-06-16,31.160000,31.270000,30.650000,30.799999,27.914911,29868500
2011-06-17,31.350000,31.809999,31.180000,31.180000,28.259325,42812400
2011-06-20,31.350000,31.990000,31.250000,31.910000,28.920938,23408300
2011-06-21,32.090000,32.709999,31.750000,32.650002,29.591627,26941600
2011-06-22,32.580002,32.580002,32.139999,32.200001,29.183773,25940800
2011-06-23,31.900000,32.549999,31.330000,32.459999,29.419416,54354600
2011-06-24,31.490000,31.709999,30.950001,31.139999,28.223061,75120900
2011-06-27,30.980000,31.830000,30.860001,31.580000,28.621855,29585600
2011-06-28,31.690001,32.369999,31.370001,32.340000,29.310661,32746800
2011-06-29,32.400002,32.680000,32.209999,32.430000,29.392235,27305700
2011-06-30,32.630001,32.939999,32.509998,32.910000,29.827265,22182400
2011-07-01,32.889999,33.200001,32.480000,33.049999,29.954147,25382300
2011-07-05,33.009998,33.139999,32.790001,33.060001,29.963215,21406400
2011-07-06,33.000000,33.250000,32.869999,33.209999,30.099171,22363900
2011-07-07,33.470001,34.130001,33.400002,34.090000,30.896738,29886000
2011-07-08,33.740002,33.939999,33.419998,33.939999,30.760784,23909600
2011-07-11,33.610001,33.660000,32.900002,33.139999,30.088915,21943300
2011-07-12,33.320000,33.470001,32.520000,32.599998,29.598629,35092400
2011-07-13,32.860001,33.290001,32.590000,32.689999,29.680344,36497800
2011-07-14,32.799999,33.099998,31.860001,32.049999,29.099266,32194500
2011-07-15,32.150002,32.259998,31.840000,32.090000,29.135590,25404600
2011-07-18,31.830000,31.940001,31.200001,31.490000,28.590828,25253300
2011-07-19,31.910000,32.669998,31.889999,32.639999,29.634949,26835500
2011-07-20,32.439999,32.599998,32.060001,32.080002,29.126505,23074700
2011-07-21,32.189999,32.750000,32.060001,32.470001,29.480600,24516200
2011-07-22,32.369999,32.669998,32.099998,32.549999,29.553238,21378100
2011-07-25,32.250000,32.439999,32.040001,32.209999,29.244537,20806100
2011-07-26,32.250000,32.520000,31.840000,32.150002,29.190063,33568300
2011-07-27,31.809999,31.840000,30.620001,30.709999,27.882635,43084500
2011-07-28,30.700001,31.150000,30.629999,30.670000,27.846321,29323100
2011-07-29,30.520000,31.190001,30.260000,30.580000,27.764605,38200600
2011-08-01,30.969999,31.209999,29.559999,30.110001,27.337879,38566100
2011-08-02,29.790001,30.400000,29.520000,29.549999,26.829432,40691000
2011-08-03,29.500000,30.350000,29.150000,30.190001,27.410511,44046200
2011-08-04,29.840000,29.870001,28.840000,28.879999,26.221117,49433400
2011-08-05,29.330000,29.420000,27.500000,28.350000,25.739910,82201300
2011-08-08,27.469999,28.040001,25.959999,26.020000,23.624432,80848500
2011-08-09,26.459999,27.600000,25.809999,27.600000,25.058969,82425600
2011-08-10,26.799999,27.510000,26.110001,26.480000,24.042076,82821600
2011-08-11,26.500000,28.030001,26.370001,27.700001,25.149754,58279300
2011-08-12,27.830000,27.830000,26.990000,27.389999,24.868299,43238500
2011-08-15,27.420000,27.860001,27.160000,27.639999,25.095282,38334100
2011-08-16,27.420000,27.959999,27.230000,27.570000,25.031729,37615100
2011-08-17,27.650000,28.049999,27.070000,27.469999,24.940933,34073800
2011-08-18,26.459999,26.490000,24.719999,25.190001,22.870848,78449700
2011-08-19,24.820000,25.600000,24.750000,24.780001,22.498590,46790600
2011-08-22,25.410000,25.620001,24.809999,25.059999,22.752810,37825100
2011-08-23,25.190001,26.209999,25.160000,26.200001,23.787859,36867400
2011-08-24,26.110001,26.730000,26.010000,26.680000,24.223663,31588800
2011-08-25,26.850000,27.049999,25.730000,25.900000,23.515476,38264000
2011-08-26,25.879999,26.830000,25.480000,26.650000,24.196432,34449300
2011-08-29,27.049999,27.959999,27.020000,27.910000,25.340425,28945400
2011-08-30,27.809999,28.040001,27.459999,27.870001,25.304110,29944300
2011-08-31,27.860001,28.610001,27.709999,28.070000,25.485693,31444600
2011-09-01,28.030001,28.670000,27.750000,27.840000,25.276867,34199100
2011-09-02,27.230000,27.450001,26.780001,26.969999,24.486965,30297500
2011-09-06,26.030001,26.820000,25.709999,26.490000,24.051161,30907700
2011-09-07,26.980000,27.629999,26.750000,27.629999,25.086201,26106200
2011-09-08,27.450001,27.530001,26.370001,26.719999,24.259979,50386300
2011-09-09,26.420000,26.600000,25.770000,26.000000,23.606270,38961600
2011-09-12,25.920000,26.770000,25.900000,26.750000,24.287220,37358200
2011-09-13,26.820000,27.790001,26.760000,27.719999,25.167913,42359400
2011-09-14,28.020000,28.580000,27.660000,28.150000,25.558323,34972000
2011-09-15,28.610001,29.000000,28.260000,28.950001,26.284679,28846400
2011-09-16,29.040001,29.299999,28.799999,29.230000,26.538897,58059500
2011-09-19,28.740000,29.240000,28.170000,29.020000,26.348228,34514300
2011-09-20,29.240000,29.360001,28.219999,28.350000,25.739910,50913400
2011-09-21,29.809999,30.959999,29.469999,29.540001,26.820353,83318400
2011-09-22,28.740000,29.030001,27.830000,28.340000,25.730837,61371400
2011-09-23,28.100000,29.080000,27.809999,28.900000,26.239281,43991700
2011-09-26,29.059999,29.790001,28.650000,29.709999,26.974705,37762600
2011-09-27,30.250000,30.580000,29.760000,30.129999,27.356035,38514400
2011-09-28,30.240000,30.410000,29.420000,29.450001,26.738638,31357100
2011-09-29,29.980000,30.620001,29.080000,29.650000,26.920227,44358800
2011-09-30,29.260000,29.740000,28.740000,28.740000,26.094007,42188000
2011-10-03,28.590000,29.010000,27.920000,27.940001,25.367662,45214600
2011-10-04,27.440001,28.770000,27.000000,28.690001,26.048607,50300200
2011-10-05,28.650000,29.590000,28.389999,29.510000,26.793118,43277100
2011-10-06,29.459999,30.100000,28.980000,30.070000,27.301561,34994100
2011-10-07,30.049999,30.340000,29.549999,29.910000,27.210587,37977000
2011-10-10,30.430000,31.030001,30.219999,30.969999,28.174921,27708200
2011-10-11,30.900000,31.200001,30.730000,30.930000,28.138531,25382700
2011-10-12,31.370001,31.549999,31.080000,31.110001,28.302280,30322800
2011-10-13,30.959999,31.299999,30.570000,31.139999,28.329571,27161500
2011-10-14,31.559999,31.860001,31.270000,31.850000,28.975498,23613200
2011-10-17,31.590000,31.750000,30.950001,31.230000,28.411453,25074700
2011-10-18,31.139999,32.000000,30.770000,31.879999,29.002787,29754800
2011-10-19,31.830000,32.180000,31.250000,31.490000,28.647989,25586300
2011-10-20,31.590000,31.750000,30.879999,31.530001,28.684383,25102300
2011-10-21,31.940001,32.250000,31.820000,32.119999,29.221130,32837700
2011-10-24,32.009998,32.919998,32.009998,32.869999,29.903440,27941900
2011-10-25,32.919998,32.950001,32.270000,32.369999,29.448568,30540900
2011-10-26,32.730000,32.759998,31.559999,32.400002,29.475851,33683500
2011-10-27,33.090000,33.810001,32.950001,33.660000,30.622133,35578800
2011-10-28,33.500000,33.799999,33.400002,33.689999,30.649429,26333800
2011-10-31,33.250000,33.369999,32.759998,32.770000,29.812460,28859900
2011-11-01,31.959999,32.209999,31.620001,31.690001,28.829935,31480100
2011-11-02,31.959999,32.639999,31.799999,32.279999,29.366688,26470800
2011-11-03,32.259998,33.150002,32.180000,33.110001,30.121780,27467100
2011-11-04,32.820000,32.880001,32.119999,32.549999,29.612324,23837800
2011-11-07,32.389999,32.919998,31.799999,32.869999,29.903440,23980000
2011-11-08,33.130001,33.759998,32.849998,33.610001,30.576645,30171400
2011-11-09,32.840000,32.840000,31.440001,31.590000,28.738964,36933000
2011-11-10,31.940001,32.029999,31.299999,31.730000,28.866323,25303800
2011-11-11,32.020000,32.759998,32.000000,32.369999,29.448568,21664700
2011-11-14,32.299999,32.509998,32.080002,32.299999,29.384882,16781600
2011-11-15,32.209999,33.160000,32.139999,32.959999,29.985315,21397300
2011-11-16,32.599998,33.060001,31.990000,31.990000,29.102863,24295200
2011-11-17,31.850000,32.000000,30.469999,30.820000,28.038454,41500400
2011-11-18,30.730000,30.889999,30.290001,30.600000,27.838306,26601000
2011-11-21,30.190001,30.350000,29.540001,29.910000,27.210587,25360400
2011-11-22,29.580000,29.920000,29.270000,29.809999,27.119608,25437400
2011-11-23,29.500000,29.590000,28.990000,29.000000,26.382711,24399700
2011-11-25,28.680000,29.330000,28.610001,28.740000,26.146177,13641400
2011-11-28,29.450001,30.059999,29.360001,29.870001,27.174198,21067200
2011-11-29,29.930000,30.160000,29.690001,29.740000,27.055923,20155800
2011-11-30,30.690001,31.459999,30.650000,31.350000,28.520618,31879500
2011-12-01,31.400000,31.780001,31.139999,31.670000,28.811739,22197000
2011-12-02,32.000000,32.049999,31.200001,31.200001,28.384159,22391200
2011-12-05,31.809999,32.240002,31.549999,31.900000,29.020985,19992200
2011-12-06,32.040001,32.110001,31.540001,31.730000,28.866323,21049900
2011-12-07,31.290001,31.809999,30.820000,31.540001,28.693480,31366000
2011-12-08,31.240000,31.500000,30.650000,30.740000,27.965675,24494300
2011-12-09,30.840000,31.850000,30.809999,31.690001,28.829935,22621000
2011-12-12,31.400000,31.400000,30.770000,31.320000,28.493328,22536100
2011-12-13,31.690001,31.900000,30.600000,30.830000,28.047550,25309900
2011-12-14,30.670000,30.750000,29.750000,29.870001,27.174198,26644600
2011-12-15,30.139999,30.200001,28.809999,29.030001,26.410002,43170300
2011-12-16,29.260000,30.070000,28.959999,29.209999,26.573759,46100600
2011-12-19,29.410000,29.440001,28.500000,28.610001,26.027906,24849700
2011-12-20,29.059999,29.490000,28.870001,29.170000,26.537367,46428300
2011-12-21,25.670000,25.990000,24.910000,25.770000,23.444221,183503900
2011-12-22,25.860001,25.870001,25.379999,25.690001,23.371443,44203700
2011-12-23,25.799999,26.080000,25.750000,26.059999,23.708050,32292800
2011-12-27,26.059999,26.200001,25.559999,25.629999,23.316860,21312400
2011-12-28,25.680000,25.760000,25.330000,25.510000,23.207685,25412300
2011-12-29,25.670000,25.840000,25.500000,25.799999,23.471518,19249800
2011-12-30,25.730000,25.879999,25.620001,25.650000,23.335056,19168800
2012-01-03,26.330000,26.660000,25.830000,25.860001,23.526100,37911800
2012-01-04,25.950001,26.230000,25.549999,26.010000,23.662561,45418500
2012-01-05,26.010000,26.900000,25.910000,26.590000,24.190212,50873400
2012-01-06,26.670000,27.150000,26.360001,26.930000,24.499535,55685000
2012-01-09,26.900000,27.120001,26.660000,27.030001,24.645416,38481100
2012-01-10,27.180000,27.600000,26.850000,26.969999,24.590712,48976300
2012-01-11,26.990000,27.100000,26.750000,26.889999,24.517769,30836000
2012-01-12,27.020000,27.260000,26.620001,27.170000,24.773066,31775700
2012-01-13,27.040001,27.370001,26.850000,27.340000,24.928070,31482600
2012-01-17,27.680000,27.879999,27.480000,27.660000,25.219837,35769400
2012-01-18,27.709999,28.450001,27.610001,28.340000,25.839849,35343800
2012-01-19,28.480000,28.799999,28.250000,28.559999,26.040436,36353100
2012-01-20,28.389999,28.950001,28.270000,28.709999,26.177206,37014000
2012-01-23,28.730000,28.910000,28.280001,28.389999,25.885435,27438400
2012-01-24,28.330000,28.740000,28.250000,28.510000,25.994850,23700900
2012-01-25,28.260000,28.639999,27.959999,28.510000,25.994850,39274500
2012-01-26,28.559999,28.840000,28.150000,28.290001,25.794262,34646400
2012-01-27,28.240000,28.629999,28.129999,28.420000,25.912788,24561500
2012-01-30,28.190001,28.690001,28.020000,28.600000,26.076916,23294900
2012-01-31,28.730000,28.740000,28.049999,28.209999,25.721317,32744000
2012-02-01,28.480000,28.940001,28.110001,28.879999,26.332211,38240800
2012-02-02,28.870001,29.250000,28.709999,28.809999,26.268389,27334400
2012-02-03,29.129999,29.219999,28.780001,29.110001,26.541922,26277200
2012-02-06,29.030001,29.070000,28.809999,29.000000,26.441626,16582600
2012-02-07,28.910000,29.000000,28.750000,28.950001,26.396044,20291700
2012-02-08,28.920000,28.990000,28.379999,28.730000,26.195450,29842600
2012-02-09,28.850000,28.900000,28.350000,28.889999,26.341328,31795300
2012-02-10,28.549999,28.639999,28.280001,28.500000,25.985733,30232000
2012-02-13,28.590000,28.670000,28.350000,28.430000,25.921911,20015200
2012-02-14,28.320000,28.450001,28.030001,28.240000,25.748674,30267900
2012-02-15,28.100000,28.350000,27.920000,27.980000,25.511606,34620600
2012-02-16,28.160000,29.000000,28.129999,28.950001,26.396044,36380600
2012-02-17,29.030001,29.030001,28.639999,28.790001,26.250158,34061000
2012-02-21,28.799999,28.980000,28.490000,28.740000,26.204563,20612200
2012-02-22,28.719999,29.080000,28.500000,28.549999,26.031322,25207600
2012-02-23,28.610001,28.879999,28.320000,28.809999,26.268389,25319100
2012-02-24,29.059999,29.540001,28.840000,29.250000,26.669573,24952400
2012-02-27,29.000000,29.379999,28.760000,29.260000,26.678686,30419400
2012-02-28,29.240000,29.389999,29.000000,29.389999,26.797218,29889400
2012-02-29,29.400000,29.440001,29.020000,29.250000,26.669573,33160700
2012-03-01,29.400000,29.969999,29.230000,29.830000,27.198408,32909600
2012-03-02,29.850000,30.250000,29.760000,29.959999,27.316935,28177200
2012-03-05,30.240000,30.420000,29.920000,30.240000,27.572231,33786600
2012-03-06,29.940001,30.400000,29.709999,29.940001,27.298698,28971600
2012-03-07,30.049999,30.280001,29.830000,30.219999,27.553993,23691100
2012-03-08,30.400000,30.440001,29.850000,30.070000,27.417233,30927300
2012-03-09,30.049999,30.290001,29.900000,30.129999,27.471937,30056300
2012-03-12,29.719999,29.920000,29.200001,29.709999,27.088989,40933900
2012-03-13,29.990000,30.230000,29.910000,30.129999,27.471937,32329200
2012-03-14,30.000000,30.160000,29.690001,29.840000,27.207521,30994400
2012-03-15,29.959999,30.129999,29.740000,30.059999,27.408112,35528500
2012-03-16,30.110001,30.160000,29.580000,29.740000,27.116341,38651200
2012-03-19,29.590000,29.889999,29.430000,29.760000,27.134579,32519400
2012-03-20,29.700001,30.139999,29.549999,30.100000,27.444580,46126400
2012-03-21,30.870001,31.150000,29.340000,29.410000,26.815456,94678000
2012-03-22,29.330000,29.330000,28.559999,28.629999,26.104267,59763200
2012-03-23,28.690001,28.889999,28.520000,28.549999,26.031322,36696300
2012-03-26,28.780001,29.190001,28.650000,29.160000,26.587513,30044300
2012-03-27,29.170000,29.520000,29.000000,29.350000,26.760744,31710000
2012-03-28,29.379999,29.549999,29.139999,29.360001,26.769865,29405300
2012-03-29,29.209999,29.580000,29.100000,29.299999,26.715160,34035400
2012-03-30,29.459999,29.490000,29.040001,29.160000,26.587513,32006100
2012-04-02,29.120001,29.680000,29.000000,29.530001,26.924868,28525300
2012-04-03,29.610001,29.700001,29.120001,29.389999,26.797218,29995400
2012-04-04,29.190001,29.480000,28.930000,29.160000,26.587513,31154000
2012-04-05,29.150000,29.629999,29.129999,29.559999,26.952221,43273500
2012-04-09,29.100000,29.250000,29.000000,29.010000,26.504547,21528500
2012-04-10,28.879999,28.959999,28.080000,28.350000,25.901537,41175000
2012-04-11,28.490000,28.549999,28.040001,28.139999,25.709679,30390100
2012-04-12,28.320000,28.719999,28.160000,28.700001,26.221317,29414300
2012-04-13,28.700001,28.770000,28.490000,28.559999,26.093401,16685800
2012-04-16,28.580000,28.770000,28.309999,28.639999,26.166498,21476800
2012-04-17,28.719999,29.440001,28.700001,29.280001,26.751225,24985300
2012-04-18,29.129999,29.350000,29.100000,29.129999,26.614178,21151400
2012-04-19,28.990000,29.459999,28.670000,29.010000,26.504547,26462100
2012-04-20,29.120001,29.530001,28.879999,28.879999,26.385767,35727900
2012-04-23,28.600000,28.660000,28.260000,28.480000,26.020317,23045500
2012-04-24,28.530001,28.850000,28.520000,28.690001,26.212172,20486900
2012-04-25,28.680000,28.990000,28.600000,28.870001,26.376635,26902800
2012-04-26,28.840000,29.219999,28.740000,29.020000,26.513680,20548300
2012-04-27,29.059999,29.440001,29.059999,29.240000,26.714680,16847800
2012-04-30,29.230000,29.420000,29.200001,29.400000,26.860857,18568500
2012-05-01,29.450001,29.780001,29.290001,29.570000,27.016176,19965400
2012-05-02,29.420000,29.790001,29.190001,29.709999,27.144085,22579000
2012-05-03,29.740000,29.820000,29.340000,29.379999,26.842583,19175800
2012-05-04,29.100000,29.150000,28.410000,28.410000,25.956358,33934300
2012-05-07,28.340000,28.450001,27.850000,27.920000,25.508680,33670500
2012-05-08,27.709999,28.020000,27.530001,27.930000,25.517815,24660200
2012-05-09,27.620001,27.910000,27.410000,27.780001,25.380766,25521100
2012-05-10,27.700001,27.750000,26.740000,27.020000,24.686411,52653300
2012-05-11,26.969999,27.309999,26.770000,27.000000,24.668137,25588900
2012-05-14,26.730000,27.309999,26.660000,26.959999,24.631592,22485200
2012-05-15,27.020000,27.530001,26.940001,27.059999,24.722958,26392900
2012-05-16,27.160000,27.410000,26.680000,26.719999,24.412317,29672800
2012-05-17,26.700001,26.719999,26.250000,26.250000,23.982910,29440600
2012-05-18,26.290001,26.290001,25.330000,25.610001,23.398180,68182500
2012-05-21,25.540001,26.459999,25.530001,26.260000,23.992048,30712700
2012-05-22,26.330000,26.490000,26.070000,26.360001,24.083408,22122800
2012-05-23,26.120001,26.850000,26.040001,26.680000,24.375772,33179600
2012-05-24,26.620001,26.650000,25.900000,26.120001,23.864138,34232000
2012-05-25,26.180000,26.330000,26.040001,26.139999,23.882412,18642900
2012-05-29,26.410000,26.780001,26.160000,26.459999,24.174770,24139900
2012-05-30,26.190001,26.340000,25.980000,26.170000,23.909817,21538300
2012-05-31,26.219999,26.719999,26.170000,26.469999,24.183908,32192300
2012-06-01,25.980000,26.280001,25.900000,26.000000,23.754501,30739700
2012-06-04,26.040001,26.340000,25.840000,26.200001,23.937229,28945200
2012-06-05,26.070000,26.940001,26.070000,26.709999,24.403181,28412000
2012-06-06,26.990000,27.570000,26.879999,27.530001,25.152365,27639000
2012-06-07,27.750000,27.760000,27.180000,27.180000,24.832590,32896100
2012-06-08,27.040001,27.270000,26.799999,27.160000,24.814318,22343200
2012-06-11,27.379999,27.420000,26.770000,26.809999,24.494543,20470800
2012-06-12,27.000000,27.150000,26.730000,27.030001,24.695543,26186900
2012-06-13,26.879999,27.379999,26.790001,27.020000,24.686411,19638800
2012-06-14,27.090000,27.350000,26.510000,26.910000,24.585907,34311700
2012-06-15,27.110001,27.760000,26.990000,27.700001,25.307676,40136400
2012-06-18,27.430000,27.430000,26.690001,27.120001,24.777777,38322000
2012-06-19,28.389999,28.750000,27.530001,27.959999,25.545225,81048700
2012-06-20,28.040001,28.580000,27.940001,28.490000,26.029451,29281700
2012-06-21,28.490000,28.639999,27.750000,27.809999,25.408175,32721900
2012-06-22,27.910000,28.139999,27.790001,28.000000,25.581770,22163000
2012-06-25,27.540001,27.750000,27.240000,27.620001,25.234587,24918800
2012-06-26,27.629999,27.950001,27.520000,27.830000,25.426453,20614200
2012-06-27,27.760000,28.459999,27.760000,28.170000,25.737091,19388200
2012-06-28,28.030001,28.260000,27.730000,28.170000,25.737091,27175800
2012-06-29,28.809999,29.709999,28.790001,29.700001,27.134951,35545300
2012-07-02,29.530001,29.799999,29.150000,29.799999,27.226311,24445300
2012-07-03,29.629999,29.980000,29.610001,29.969999,27.381634,14468000
2012-07-05,29.830000,29.930000,29.709999,29.719999,27.153221,19244600
2012-07-06,29.370001,29.480000,28.940001,29.180000,26.659863,25259400
2012-07-09,29.230000,29.360001,29.020000,29.100000,26.586771,21873200
2012-07-10,29.360001,29.600000,28.850000,29.049999,26.541088,23424100
2012-07-11,28.980000,29.320000,28.910000,29.230000,26.760813,27247300
2012-07-12,29.450001,29.469999,28.610001,28.820000,26.385447,23562000
2012-07-13,28.870001,29.660000,28.750000,29.580000,27.081244,22026800
2012-07-16,29.430000,29.750000,29.280001,29.520000,27.026312,16819600
2012-07-17,29.709999,30.049999,29.370001,29.920000,27.392529,23897100
2012-07-18,29.840000,30.760000,29.820000,30.500000,27.923529,24988700
2012-07-19,30.600000,31.110001,30.559999,30.870001,28.262278,26180000
2012-07-20,30.660000,30.830000,30.100000,30.120001,27.575632,25013000
2012-07-23,29.530001,29.799999,29.110001,29.650000,27.145334,23403200
2012-07-24,29.590000,29.670000,29.070000,29.320000,26.843210,23707500
2012-07-25,29.299999,29.559999,29.120001,29.260000,26.788277,22389100
2012-07-26,29.790001,30.360001,29.700001,30.000000,27.465769,26746600
2012-07-27,30.299999,30.840000,30.040001,30.770000,28.170721,23852100
2012-07-30,30.690001,31.000000,30.400000,30.580000,27.996773,20919700
2012-07-31,30.559999,30.690001,30.170000,30.200001,27.648874,20951600
2012-08-01,30.340000,30.520000,30.030001,30.320000,27.758736,17344400
2012-08-02,29.870001,30.400000,29.740000,29.920000,27.392529,22103400
2012-08-03,30.530001,30.870001,30.379999,30.719999,28.124945,17767200
2012-08-06,30.920000,31.250000,30.780001,31.000000,28.381292,18658400
2012-08-07,31.219999,31.700001,31.150000,31.500000,28.839058,21692700
2012-08-08,31.340000,31.809999,31.070000,31.160000,28.527777,22436100
2012-08-09,31.160000,31.549999,31.150000,31.370001,28.720034,14578500
2012-08-10,31.190001,31.620001,31.080000,31.610001,28.939764,13848800
2012-08-13,31.450001,31.549999,31.200001,31.360001,28.710884,14362100
2012-08-14,31.500000,31.629999,31.240000,31.350000,28.701723,13806800
2012-08-15,31.330000,31.690001,31.330000,31.549999,28.884834,16230100
2012-08-16,31.639999,32.209999,31.540001,32.029999,29.324280,20333700
2012-08-17,32.090000,32.299999,31.910000,32.200001,29.479921,20814500
2012-08-20,32.099998,32.150002,31.900000,32.040001,29.333439,11189200
2012-08-21,32.020000,32.270000,31.719999,31.750000,29.067940,19673100
2012-08-22,31.740000,31.850000,31.520000,31.700001,29.022169,18087900
2012-08-23,31.559999,31.750000,31.309999,31.590000,28.921461,14201700
2012-08-24,31.340000,32.000000,31.250000,31.950001,29.251047,14811400
2012-08-27,32.070000,32.070000,31.750000,31.830000,29.141176,14708300
2012-08-28,31.719999,32.000000,31.559999,31.580000,28.912302,15993500
2012-08-29,31.650000,31.889999,31.459999,31.490000,28.829901,15845300
2012-08-30,31.299999,31.379999,31.160000,31.170000,28.536938,17984700
2012-08-31,31.459999,31.760000,31.129999,31.650000,28.976385,21240300
2012-09-04,31.629999,31.799999,31.219999,31.570000,28.903141,16654700
2012-09-05,31.650000,32.110001,31.610001,32.070000,29.360907,22994600
2012-09-06,32.180000,32.790001,32.160000,32.630001,29.873602,22699700
2012-09-07,32.639999,32.639999,32.270000,32.599998,29.846134,19068700
2012-09-10,32.590000,32.750000,32.299999,32.310001,29.580633,18589900
2012-09-11,32.290001,32.459999,32.160000,32.320000,29.589785,21554800
2012-09-12,32.500000,32.500000,32.240002,32.259998,29.534847,20602100
2012-09-13,32.320000,32.790001,32.090000,32.619999,29.864445,27451700
2012-09-14,32.650002,33.000000,32.599998,32.950001,30.166567,23162900
2012-09-17,32.810001,33.130001,32.750000,33.099998,30.303894,25017900
2012-09-18,33.099998,33.270000,32.939999,33.020000,30.230663,25285000
2012-09-19,33.009998,33.080002,32.560001,32.779999,30.010927,20913400
2012-09-20,32.599998,32.880001,32.189999,32.259998,29.534847,38005700
2012-09-21,33.029999,33.290001,32.279999,32.470001,29.727118,62905800
2012-09-24,32.250000,32.439999,32.080002,32.220001,29.498240,18511200
2012-09-25,32.180000,32.230000,31.250000,31.299999,28.655951,30757800
2012-09-26,31.020000,31.080000,30.570000,30.730000,28.134096,29234500
2012-09-27,30.760000,31.420000,30.700001,31.219999,28.582710,23400200
2012-09-28,31.129999,31.610001,31.070000,31.459999,28.802439,27014800
2012-10-01,31.709999,32.000000,31.540001,31.670000,28.994694,28412900
2012-10-02,31.790001,32.009998,31.400000,31.650000,28.976385,21859900
2012-10-03,31.809999,32.049999,31.690001,31.820000,29.132027,19700800
2012-10-04,31.850000,31.980000,31.650000,31.900000,29.205265,25156900
2012-10-05,32.049999,32.090000,31.280001,31.389999,28.738348,31239000
2012-10-08,31.200001,31.379999,30.860001,31.180000,28.546091,22261500
2012-10-09,31.059999,31.100000,30.440001,30.650000,28.060856,23311300
2012-10-10,30.580000,30.719999,30.430000,30.580000,28.051682,23103700
2012-10-11,30.730000,31.090000,30.620001,30.719999,28.180109,20436300
2012-10-12,30.680000,31.190001,30.680000,31.000000,28.436962,18639800
2012-10-15,31.059999,31.379999,31.020000,31.299999,28.712156,26143200
2012-10-16,31.400000,31.889999,31.280001,31.870001,29.235033,22024500
2012-10-17,31.530001,31.700001,31.209999,31.230000,28.647943,28326200
2012-10-18,31.139999,31.240000,30.760000,31.120001,28.547039,26013900
2012-10-19,31.070000,31.250000,30.400000,30.480000,27.959953,26239700
2012-10-22,30.590000,30.889999,30.309999,30.799999,28.253494,17338400
2012-10-23,30.520000,30.840000,30.450001,30.590000,28.060858,21384700
2012-10-24,30.900000,30.950001,30.370001,30.600000,28.070028,21642700
2012-10-25,30.870001,31.219999,30.709999,30.860001,28.308538,20696000
2012-10-26,30.809999,31.100000,30.610001,30.990000,28.427792,19815600
2012-10-31,31.240000,31.389999,30.860001,31.080000,28.510347,21844400
2012-11-01,31.200001,31.520000,30.930000,31.480000,28.877275,22886100
2012-11-02,31.799999,31.809999,31.180000,31.209999,28.629597,17251200
2012-11-05,30.950001,31.350000,30.770000,31.250000,28.666292,13590100
2012-11-06,31.430000,31.910000,31.330000,31.629999,29.014872,15018800
2012-11-07,31.299999,31.350000,30.760000,30.790001,28.244324,22295700
2012-11-08,30.730000,30.980000,30.410000,30.420000,27.904917,17902800
2012-11-09,30.400000,30.730000,30.270000,30.350000,27.840704,15537900
2012-11-12,30.410000,30.549999,30.090000,30.299999,27.794836,10964600
2012-11-13,30.080000,30.500000,29.889999,30.020000,27.537987,20901000
2012-11-14,30.100000,30.150000,29.520000,29.580000,27.134363,22562900
2012-11-15,29.580000,30.070000,29.559999,29.950001,27.473772,26295000
2012-11-16,30.030001,30.129999,29.780001,30.000000,27.519636,25491700
2012-11-19,30.250000,30.260000,29.850000,30.139999,27.648066,22551100
2012-11-20,30.020000,30.200001,29.780001,30.200001,27.703104,17448200
2012-11-21,30.190001,30.530001,30.129999,30.400000,27.886570,17423900
2012-11-23,30.650000,31.059999,30.580000,30.920000,28.363575,8211500
2012-11-26,30.719999,30.969999,30.580000,30.959999,28.400270,15644900
2012-11-27,31.200001,31.770000,31.160000,31.219999,28.638773,24696300
2012-11-28,31.150000,31.820000,30.990000,31.799999,29.170822,21603200
2012-11-29,31.920000,32.139999,31.809999,31.840000,29.207512,22205300
2012-11-30,31.850000,32.240002,31.750000,32.180000,29.519400,26610600
2012-12-03,32.369999,32.500000,32.209999,32.310001,29.638655,22159300
2012-12-04,32.220001,32.470001,32.009998,32.380001,29.702868,17391100
2012-12-05,31.950001,32.119999,31.309999,32.000000,29.354279,30775300
2012-12-06,31.990000,32.110001,31.900000,32.029999,29.381804,25132600
2012-12-07,32.150002,32.169998,31.770000,31.920000,29.280899,18421100
2012-12-10,31.920000,32.230000,31.920000,32.070000,29.418493,20712600
2012-12-11,32.180000,32.500000,32.020000,32.340000,29.666178,25716300
2012-12-12,32.209999,32.380001,31.830000,31.940001,29.463230,20205300
2012-12-13,31.930000,32.009998,31.389999,31.610001,29.158821,20608200
2012-12-14,31.540001,32.110001,31.440001,31.959999,29.481680,21930800
2012-12-17,32.000000,32.470001,31.799999,32.320000,29.813761,24047300
2012-12-18,32.490002,32.950001,32.349998,32.880001,30.330345,37797600
2012-12-19,33.860001,34.349998,33.830002,34.090000,31.446512,60937600
2012-12-20,34.090000,34.250000,33.930000,33.939999,31.308142,28119900
2012-12-21,33.509998,33.919998,33.200001,33.759998,31.142105,45601600
2012-12-24,33.459999,33.639999,33.419998,33.610001,31.003727,6451900
2012-12-26,33.669998,33.849998,33.340000,33.610001,31.003727,13282100
2012-12-27,33.540001,33.619999,33.000000,33.270000,30.690096,21600200
2012-12-28,33.040001,33.490002,33.000000,33.020000,30.459488,16792100
2012-12-31,32.910000,33.459999,32.689999,33.320000,30.736229,25320000
2013-01-02,34.080002,34.740002,33.930000,34.689999,31.999990,33758400
2013-01-03,34.630001,34.750000,34.139999,34.310001,31.649454,21819500
2013-01-04,34.450001,34.750000,34.400002,34.610001,31.926191,21687300
2013-01-07,34.439999,34.520000,34.209999,34.430000,31.760151,14008300
2013-01-08,34.150002,34.509998,34.060001,34.439999,31.769369,17408900
2013-01-09,34.500000,34.799999,34.380001,34.459999,31.787817,18932700
2013-01-10,34.560001,34.919998,34.410000,34.910000,32.202923,17843600
2013-01-11,34.959999,35.000000,34.779999,34.860001,32.156811,15105200
2013-01-14,34.830002,35.000000,34.599998,34.959999,32.249046,14589400
2013-01-15,34.570000,34.880001,34.520000,34.700001,32.009205,16263600
2013-01-16,34.630001,34.869999,34.560001,34.639999,31.953865,17608200
2013-01-17,34.759998,34.810001,34.599998,34.619999,31.935419,17827100
2013-01-18,34.590000,35.130001,34.410000,35.110001,32.387417,30088900
2013-01-22,34.950001,34.980000,34.529999,34.930000,32.221378,19309500
2013-01-23,34.959999,35.200001,34.689999,34.689999,31.999990,17235800
2013-01-24,34.880001,35.400002,34.810001,34.939999,32.230595,18662000
2013-01-25,35.000000,35.400002,34.880001,35.380001,32.636486,18061300
2013-01-28,35.410000,35.790001,35.380001,35.540001,32.784073,20119500
2013-01-29,35.360001,35.869999,35.070000,35.779999,33.005466,18284800
2013-01-30,35.759998,35.880001,35.290001,35.380001,32.636486,14249900
2013-01-31,35.270000,35.689999,35.250000,35.509998,32.756397,19077700
2013-02-01,35.869999,36.310001,35.810001,36.209999,33.402119,27725700
2013-02-04,35.810001,36.000000,35.029999,35.130001,32.405876,23595800
2013-02-05,35.209999,35.720001,35.139999,35.480000,32.728729,16662700
2013-02-06,35.310001,35.419998,35.009998,35.099998,32.378181,15603500
2013-02-07,35.150002,35.189999,34.450001,34.560001,31.880070,26869300
2013-02-08,34.759998,34.980000,34.500000,34.900002,32.193707,19255700
2013-02-11,34.980000,35.040001,34.549999,34.959999,32.249046,12648800
2013-02-12,34.889999,35.250000,34.849998,35.110001,32.387417,14666300
2013-02-13,35.209999,35.259998,34.880001,34.990002,32.276730,13176800
2013-02-14,34.869999,35.070000,34.689999,34.900002,32.193707,15886800
2013-02-15,34.799999,34.990002,34.650002,34.810001,32.110687,18406000
2013-02-19,34.930000,35.410000,34.820000,35.400002,32.654938,16446000
2013-02-20,35.500000,35.590000,35.000000,35.009998,32.295170,16263700
2013-02-21,34.950001,34.950001,34.169998,34.279999,31.621773,20923100
2013-02-22,34.509998,34.779999,34.130001,34.750000,32.055332,13754700
2013-02-25,35.070000,35.430000,34.270000,34.279999,31.621773,19992900
2013-02-26,34.279999,34.570000,34.080002,34.320000,31.658682,15839500
2013-02-27,34.250000,34.970001,34.060001,34.680000,31.990761,15671400
2013-02-28,34.700001,34.860001,34.220001,34.240002,31.584881,23816400
2013-03-01,34.119999,34.830002,34.000000,34.630001,31.944637,20376000
2013-03-04,34.529999,35.080002,34.400002,35.049999,32.332066,14750500
2013-03-05,35.220001,35.680000,35.209999,35.459999,32.710278,15410100
2013-03-06,35.500000,35.930000,35.480000,35.860001,33.079262,21340800
2013-03-07,35.939999,36.130001,35.759998,35.939999,33.153061,15098100
2013-03-08,35.939999,36.090000,35.669998,35.709999,32.940887,14985000
2013-03-11,35.700001,35.980000,35.639999,35.880001,33.097706,14111600
2013-03-12,35.849998,35.849998,35.160000,35.430000,32.682602,18411100
2013-03-13,35.820000,35.849998,35.349998,35.580002,32.820972,21228800
2013-03-14,35.799999,36.330002,35.619999,36.299999,33.485146,21040700
2013-03-15,36.110001,36.430000,36.099998,36.340000,33.522034,56178100
2013-03-18,36.099998,36.419998,36.000000,36.040001,33.245304,20654800
2013-03-19,36.180000,36.230000,35.410000,35.689999,32.922440,20548800
2013-03-20,35.980000,36.070000,35.400002,35.770000,32.996235,41088100
2013-03-21,32.779999,32.939999,32.180000,32.299999,29.795315,132669500
2013-03-22,32.400002,32.500000,31.639999,31.980000,29.500128,64333500
2013-03-25,32.049999,32.200001,31.160000,31.250000,28.826740,39694400
2013-03-26,31.410000,31.790001,31.410000,31.540001,29.094248,29420300
2013-03-27,31.410000,32.110001,31.290001,31.950001,29.472458,35028500
2013-03-28,31.889999,32.389999,31.790001,32.330002,29.822989,23676700
2013-04-01,32.360001,32.459999,32.040001,32.410000,29.896786,18677600
2013-04-02,32.650002,32.939999,32.529999,32.740002,30.201202,22619600
2013-04-03,32.930000,32.939999,32.200001,32.400002,29.887566,25545200
2013-04-04,32.360001,32.509998,32.230000,32.369999,29.859888,18163800
2013-04-05,31.770000,32.119999,31.670000,32.029999,29.546255,24415300
2013-04-08,32.070000,32.360001,31.900000,32.360001,29.850662,14134400
2013-04-09,32.500000,33.080002,32.459999,33.040001,30.477940,30087400
2013-04-10,33.150002,33.950001,33.150002,33.730000,31.114424,35941000
2013-04-11,33.619999,33.919998,33.560001,33.619999,31.012959,23080700
2013-04-12,33.639999,33.669998,33.020000,33.459999,30.865362,18408200
2013-04-15,33.389999,33.500000,32.799999,32.799999,30.256536,19617500
2013-04-16,32.950001,33.490002,32.910000,33.419998,30.828463,17310600
2013-04-17,33.099998,33.130001,32.450001,32.490002,29.970589,25277000
2013-04-18,32.650002,32.799999,31.900000,32.119999,29.629274,24892500
2013-04-19,31.750000,32.459999,31.670000,32.369999,29.859888,30391400
2013-04-22,32.490002,32.660000,32.160000,32.520000,29.998255,18754900
2013-04-23,32.720001,33.000000,32.369999,32.459999,29.942902,23964900
2013-04-24,32.490002,32.830002,32.439999,32.509998,29.989031,22601800
2013-04-25,32.560001,32.580002,32.209999,32.270000,29.767647,25910200
2013-04-26,32.200001,32.529999,32.169998,32.360001,29.850662,22376200
2013-04-29,32.389999,32.500000,32.139999,32.240002,29.739971,31381300
2013-04-30,32.220001,32.869999,32.220001,32.779999,30.238091,50028100
2013-05-01,32.750000,33.619999,32.720001,33.160000,30.588631,32712000
2013-05-02,33.110001,33.779999,32.980000,33.689999,31.077528,22992700
2013-05-03,33.930000,33.950001,33.279999,33.380001,30.791565,23976800
2013-05-06,33.439999,33.509998,33.080002,33.509998,30.911486,17964500
2013-05-07,33.529999,33.790001,33.189999,33.259998,30.680868,17955000
2013-05-08,33.090000,33.570000,33.090000,33.459999,30.865362,21382700
2013-05-09,33.299999,34.000000,33.279999,33.700001,31.086754,18722100
2013-05-10,33.830002,34.029999,33.650002,34.020000,31.381947,17364100
2013-05-13,33.950001,34.000000,33.650002,33.779999,31.160553,12193400
2013-05-14,33.650002,34.250000,33.549999,33.669998,31.059084,23560400
2013-05-15,33.740002,34.099998,33.709999,33.990002,31.354259,18360500
2013-05-16,34.090000,34.610001,34.090000,34.369999,31.704798,25526300
2013-05-17,34.590000,35.029999,34.439999,35.029999,32.313614,26986800
2013-05-20,34.810001,35.029999,34.560001,34.900002,32.193707,18326400
2013-05-21,34.900002,35.320000,34.900002,35.099998,32.378181,19682900
2013-05-22,35.070000,35.150002,33.919998,34.119999,31.474184,33742400
2013-05-23,33.950001,34.410000,33.860001,34.230000,31.575651,20442500
2013-05-24,33.689999,34.139999,33.419998,34.049999,31.409618,22642500
2013-05-28,34.669998,34.779999,34.259998,34.529999,31.852386,21432200
2013-05-29,34.400002,34.560001,34.119999,34.400002,31.732477,16004800
2013-05-30,34.490002,34.790001,34.340000,34.340000,31.677116,17928400
2013-05-31,34.119999,34.459999,33.750000,33.779999,31.160553,24412100
2013-06-03,33.849998,34.400002,33.730000,34.389999,31.723244,19782700
2013-06-04,34.340000,34.750000,33.959999,34.160000,31.511086,20324900
2013-06-05,34.099998,34.610001,34.000000,34.119999,31.474184,22005600
2013-06-06,33.980000,33.980000,33.130001,33.349998,30.763895,29158700
2013-06-07,33.590000,34.029999,33.320000,33.810001,31.188236,20548900
2013-06-10,33.980000,34.090000,33.820000,34.049999,31.409618,16901500
2013-06-11,33.660000,34.150002,33.490002,33.570000,30.966839,15274500
2013-06-12,33.830002,33.869999,33.500000,33.520000,30.920706,13731100
2013-06-13,33.470001,34.320000,33.410000,34.250000,31.594107,15727400
2013-06-14,34.150002,34.320000,33.700001,33.770000,31.151321,17551400
2013-06-17,34.029999,34.630001,34.000000,34.270000,31.612556,19398200
2013-06-18,34.259998,34.590000,34.209999,34.400002,31.732477,16949300
2013-06-19,34.430000,34.590000,34.080002,34.090000,31.446512,19408400
2013-06-20,33.880001,34.020000,33.029999,33.209999,30.634750,35222400
2013-06-21,30.709999,30.840000,29.980000,30.139999,27.802814,140813500
2013-06-24,30.120001,30.440001,30.030001,30.170000,27.830486,78919200
2013-06-25,30.500000,30.530001,29.889999,29.959999,27.636766,64051500
2013-06-26,30.190001,30.230000,29.860001,30.139999,27.802814,52429800
2013-06-27,30.309999,31.139999,30.290001,30.450001,28.088776,43014900
2013-06-28,30.280001,30.809999,30.250000,30.709999,28.328608,39787100
2013-07-01,30.889999,30.980000,30.070000,30.110001,27.775137,33962900
2013-07-02,30.090000,30.350000,29.950001,30.100000,27.765917,33114500
2013-07-03,30.049999,30.799999,30.040001,30.700001,28.319387,18629700
2013-07-05,30.990000,31.200001,30.540001,31.190001,28.771393,22193800
2013-07-08,31.350000,31.650000,31.250000,31.650000,29.195726,28904300
2013-07-09,31.500000,31.600000,31.230000,31.520000,29.075800,28854300
2013-07-10,31.360001,31.440001,31.049999,31.230000,28.918385,28458600
2013-07-11,31.570000,32.000000,31.570000,31.860001,29.501751,33193000
2013-07-12,31.900000,32.000000,31.240000,31.250000,28.936905,157674700
2013-07-15,31.480000,32.049999,31.320000,32.009998,29.640652,36543400
2013-07-16,31.990000,32.150002,31.860001,32.000000,29.631388,22531400
2013-07-17,32.070000,32.439999,32.049999,32.160000,29.779552,22357000
2013-07-18,31.959999,32.459999,31.809999,32.009998,29.640652,23615600
2013-07-19,32.029999,32.029999,31.510000,31.860001,29.501751,28512000
2013-07-22,31.790001,31.900000,31.700001,31.870001,29.511015,16760100
2013-07-23,31.870001,32.189999,31.809999,32.070000,29.696209,16771000
2013-07-24,32.380001,32.560001,32.299999,32.389999,29.992521,20003600
2013-07-25,32.410000,32.410000,31.969999,32.369999,29.974003,21050300
2013-07-26,32.360001,32.599998,32.160000,32.540001,30.131420,17308500
2013-07-29,32.389999,32.560001,32.169998,32.480000,30.075861,16119300
2013-07-30,32.599998,32.709999,32.490002,32.549999,30.140682,18340700
2013-07-31,32.580002,32.750000,31.950001,32.349998,29.955482,30540500
2013-08-01,32.619999,32.830002,32.400002,32.750000,30.325884,15797000
2013-08-02,32.619999,32.700001,32.480000,32.570000,30.159199,18998100
2013-08-05,32.590000,32.900002,32.549999,32.779999,30.353651,11151300
2013-08-06,32.750000,33.220001,32.700001,33.000000,30.557367,18620900
2013-08-07,32.770000,33.000000,32.680000,32.820000,30.390694,17416900
2013-08-08,32.910000,33.099998,32.759998,33.020000,30.575895,14204600
2013-08-09,32.910000,33.110001,32.700001,32.919998,30.483288,11646000
2013-08-12,32.810001,33.340000,32.750000,33.250000,30.788860,11746400
2013-08-13,33.389999,33.459999,33.110001,33.250000,30.788860,12738700
2013-08-14,33.259998,33.650002,33.230000,33.570000,31.085184,19684400
2013-08-15,33.240002,33.240002,32.540001,32.730000,30.307360,19574600
2013-08-16,32.599998,32.849998,32.299999,32.410000,30.011042,19504100
2013-08-19,32.400002,32.700001,32.009998,32.060001,29.686951,13385600
2013-08-20,32.060001,32.419998,32.000000,32.200001,29.816584,13870200
2013-08-21,32.189999,32.619999,32.099998,32.299999,29.909182,11955400
2013-08-22,32.419998,32.529999,32.130001,32.400002,30.001785,10271600
2013-08-23,32.380001,32.660000,31.770000,31.770000,29.418417,27128400
2013-08-26,31.760000,32.599998,31.760000,32.340000,29.946230,18888600
2013-08-27,31.650000,32.200001,31.600000,31.780001,29.427675,16061600
2013-08-28,31.790001,31.910000,31.660000,31.660000,29.316557,15919100
2013-08-29,31.570000,31.980000,31.559999,31.700001,29.353600,14012100
2013-08-30,31.740000,32.099998,31.709999,31.860001,29.501751,14044300
2013-09-03,32.169998,32.369999,31.820000,32.020000,29.649908,14647300
2013-09-04,32.009998,32.490002,31.959999,32.320000,29.927698,13040800
2013-09-05,32.380001,32.520000,32.160000,32.259998,29.872139,11437900
2013-09-06,32.299999,32.459999,31.850000,32.200001,29.816584,12625400
2013-09-09,32.310001,32.889999,32.250000,32.750000,30.325884,12400500
2013-09-10,32.799999,32.990002,32.750000,32.860001,30.427734,15918900
2013-09-11,32.869999,33.230000,32.740002,33.020000,30.575895,19692300
2013-09-12,33.009998,33.110001,32.740002,32.790001,30.362913,16250100
2013-09-13,32.840000,32.869999,32.349998,32.459999,30.057335,17638400
2013-09-16,32.840000,33.150002,32.779999,32.970001,30.529598,25316900
2013-09-17,32.990002,33.430000,32.930000,33.259998,30.798122,20282300
2013-09-18,33.209999,33.910000,33.130001,33.869999,31.362978,39152100
2013-09-19,33.639999,34.000000,33.250000,33.889999,31.381487,63316300
2013-09-20,33.939999,34.130001,33.669998,34.049999,31.529655,53470400
2013-09-23,33.799999,34.340000,33.750000,33.939999,31.427792,26293100
2013-09-24,33.830002,33.889999,33.590000,33.639999,31.149996,18958300
2013-09-25,33.759998,34.090000,33.700001,33.869999,31.362978,19653100
2013-09-26,33.980000,34.259998,33.689999,33.810001,31.307426,15621000
2013-09-27,33.630001,33.950001,33.509998,33.779999,31.279638,14068700
2013-09-30,33.490002,33.529999,33.040001,33.169998,30.714790,25132600
2013-10-01,33.200001,33.549999,33.060001,33.500000,31.020361,16300300
2013-10-02,33.310001,33.730000,33.259998,33.680000,31.187037,19451600
2013-10-03,33.529999,33.669998,33.080002,33.240002,30.779608,15480100
2013-10-04,33.180000,33.490002,33.060001,33.209999,30.863247,15054900
2013-10-07,32.860001,33.240002,32.790001,32.840000,30.519398,14150100
2013-10-08,32.830002,32.919998,32.270000,32.369999,30.082605,23780400
2013-10-09,32.450001,32.459999,32.000000,32.189999,29.915327,19656000
2013-10-10,32.480000,33.000000,32.340000,32.990002,30.658802,21580700
2013-10-11,33.080002,33.380001,32.939999,33.259998,30.909710,14018800
2013-10-14,33.009998,33.349998,32.889999,33.279999,30.928297,12882400
2013-10-15,33.139999,33.259998,32.700001,32.750000,30.435760,20677000
2013-10-16,32.910000,33.200001,32.889999,33.020000,30.686678,16398300
2013-10-17,32.619999,33.049999,32.520000,32.869999,30.547274,22821900
2013-10-18,32.750000,32.990002,32.549999,32.900002,30.575153,17472700
2013-10-21,33.230000,33.400002,32.830002,32.950001,30.621616,16568800
2013-10-22,33.090000,33.139999,32.849998,32.900002,30.575153,19741200
2013-10-23,32.860001,32.889999,32.439999,32.700001,30.389286,24610300
2013-10-24,32.740002,33.250000,32.730000,33.070000,30.733139,26573600
2013-10-25,33.209999,33.490002,33.009998,33.150002,30.807489,19820600
2013-10-28,33.240002,33.459999,33.090000,33.139999,30.798195,17632800
2013-10-29,33.240002,33.730000,33.240002,33.709999,31.327921,15954700
2013-10-30,33.820000,33.950001,33.419998,33.529999,31.160637,14959100
2013-10-31,33.500000,33.910000,33.439999,33.500000,31.132755,16171500
2013-11-01,33.700001,33.820000,33.430000,33.529999,31.160637,15115800
2013-11-04,33.700001,33.759998,33.459999,33.709999,31.327921,12725000
2013-11-05,33.549999,33.689999,33.410000,33.500000,31.132755,11161500
2013-11-06,33.660000,34.340000,33.619999,34.070000,31.662470,25184600
2013-11-07,34.180000,34.459999,33.939999,34.000000,31.597422,17101200
2013-11-08,33.919998,34.349998,33.759998,34.349998,31.922689,14028300
2013-11-11,34.310001,34.630001,34.279999,34.369999,31.941277,11415100
2013-11-12,34.459999,34.849998,34.270000,34.700001,32.247952,16145000
2013-11-13,34.599998,35.000000,34.590000,35.000000,32.526756,14815800
2013-11-14,34.169998,34.570000,34.060001,34.380001,31.950569,25790900
2013-11-15,34.360001,34.930000,34.310001,34.919998,32.452415,21477700
2013-11-18,34.880001,35.130001,34.820000,34.930000,32.461708,15093200
2013-11-19,34.990002,34.990002,34.630001,34.759998,32.303726,14532900
2013-11-20,34.840000,34.970001,34.669998,34.750000,32.294422,12165500
2013-11-21,34.840000,35.049999,34.709999,34.939999,32.470997,11773000
2013-11-22,34.820000,34.970001,34.680000,34.830002,32.368778,13826300
2013-11-25,34.919998,34.959999,34.599998,34.779999,32.322304,14753800
2013-11-26,34.689999,35.160000,34.610001,34.930000,32.461708,28403700
2013-11-27,35.060001,35.400002,35.020000,35.290001,32.796261,16120200
2013-11-29,35.099998,35.419998,35.040001,35.290001,32.796261,11851500
2013-12-02,35.369999,35.389999,34.959999,35.080002,32.601112,20284400
2013-12-03,34.990002,35.110001,34.840000,35.070000,32.591816,16545300
2013-12-04,34.900002,35.180000,34.820000,35.070000,32.591816,20004000
2013-12-05,35.169998,35.169998,34.820000,34.849998,32.387356,20839500
2013-12-06,35.150002,35.509998,35.099998,35.480000,32.972843,15995300
2013-12-09,35.480000,35.750000,35.400002,35.599998,33.084358,16795000
2013-12-10,35.419998,35.470001,34.770000,34.799999,32.340889,25491700
2013-12-11,34.950001,35.060001,34.419998,34.560001,32.117855,17184000
2013-12-12,33.849998,33.900002,33.290001,33.599998,31.225689,30946000
2013-12-13,33.660000,33.700001,33.220001,33.230000,30.881830,18221200
2013-12-16,33.400002,33.880001,33.349998,33.540001,31.169922,22756300
2013-12-17,33.630001,33.790001,33.380001,33.630001,31.253567,21782100
2013-12-18,33.869999,34.759998,33.700001,34.599998,32.155018,40179900
2013-12-19,35.520000,36.959999,35.500000,36.599998,34.013691,62855300
2013-12-20,36.650002,36.799999,36.369999,36.369999,33.799957,40783000
2013-12-23,36.529999,37.020000,36.520000,36.930000,34.320377,18002800
2013-12-24,36.959999,37.380001,36.880001,37.320000,34.682816,9670100
2013-12-26,37.330002,37.750000,37.299999,37.689999,35.026672,11516900
2013-12-27,37.889999,38.220001,37.779999,37.980000,35.296185,15373100
2013-12-30,37.950001,38.110001,37.810001,37.990002,35.305481,11683000
2013-12-31,37.939999,38.340000,37.880001,38.259998,35.556389,11746400
2014-01-02,37.779999,38.029999,37.549999,37.840000,35.166069,18162100
2014-01-03,37.650002,37.860001,37.560001,37.619999,35.072853,11693900
2014-01-06,37.639999,37.799999,37.419998,37.470001,34.932995,15329400
2014-01-07,37.660000,37.930000,37.500000,37.849998,35.287270,16792200
2014-01-08,37.790001,37.910000,37.560001,37.720001,35.166077,16111600
2014-01-09,37.849998,37.849998,37.459999,37.650002,35.100822,13623500
2014-01-10,37.750000,38.139999,37.590000,38.110001,35.529667,15402900
2014-01-13,37.950001,38.200001,37.700001,37.750000,35.194050,20848300
2014-01-14,37.779999,38.250000,37.709999,38.209999,35.622894,13486400
2014-01-15,38.200001,38.570000,38.119999,38.410000,35.809361,17010900
2014-01-16,38.389999,38.770000,38.169998,38.290001,35.697491,13463000
2014-01-17,38.119999,38.470001,38.029999,38.209999,35.622894,14051100
2014-01-21,38.520000,38.520000,37.799999,38.110001,35.529667,13540000
2014-01-22,38.029999,38.279999,37.950001,37.980000,35.408474,14006300
2014-01-23,38.169998,38.259998,37.930000,38.150002,35.566963,14174200
2014-01-24,37.919998,37.959999,37.110001,37.110001,34.597382,26815600
2014-01-27,37.259998,37.369999,36.490002,36.490002,34.019360,19073800
2014-01-28,36.599998,37.130001,36.580002,37.099998,34.588047,13899900
2014-01-29,37.180000,37.250000,36.709999,36.970001,34.466854,16553600
2014-01-30,37.189999,37.560001,37.080002,37.400002,34.867741,12975500
2014-01-31,37.029999,37.200001,36.680000,36.900002,34.401588,17039700
2014-02-03,37.090000,37.090000,35.820000,35.840000,33.413364,21272600
2014-02-04,35.650002,36.020000,35.439999,35.959999,33.525238,16228000
2014-02-05,35.520000,36.250000,35.470001,35.950001,33.515923,11458400
2014-02-06,36.119999,36.830002,36.110001,36.720001,34.233772,14762200
2014-02-07,36.880001,37.230000,36.709999,37.189999,34.671955,13114700
2014-02-10,37.240002,37.439999,37.070000,37.299999,34.774513,10976900
2014-02-11,37.500000,37.900002,37.389999,37.840000,35.277946,12066100
2014-02-12,37.799999,38.250000,37.660000,38.070000,35.492378,12343200
2014-02-13,37.840000,38.490002,37.779999,38.419998,35.818676,11683200
2014-02-14,38.330002,38.330002,37.919998,37.980000,35.408474,15641400
2014-02-18,38.060001,38.119999,37.730000,37.970001,35.399147,10560300
2014-02-19,37.830002,38.299999,37.799999,37.869999,35.305916,12491400
2014-02-20,37.840000,38.349998,37.700001,38.270000,35.678833,11786000
2014-02-21,38.330002,38.490002,38.080002,38.099998,35.520336,13243600
2014-02-24,38.160000,38.459999,38.040001,38.139999,35.557640,10388100
2014-02-25,38.110001,38.430000,37.889999,38.250000,35.660191,11766400
2014-02-26,38.419998,38.830002,38.349998,38.500000,35.893257,11482900
2014-02-27,38.500000,39.099998,38.360001,38.950001,36.312805,14055700
2014-02-28,38.950001,39.369999,38.650002,39.110001,36.461967,19257800
2014-03-03,38.720001,38.990002,38.380001,38.509998,35.902576,13293700
2014-03-04,39.139999,39.500000,39.060001,39.410000,36.741653,13682100
2014-03-05,39.410000,39.700001,39.299999,39.500000,36.825558,11929200
2014-03-06,39.680000,39.849998,39.419998,39.459999,36.788265,13081900
2014-03-07,39.570000,39.590000,38.599998,38.830002,36.200920,13821500
2014-03-10,38.820000,38.950001,38.650002,38.860001,36.228897,8670300
2014-03-11,39.000000,39.020000,38.619999,38.900002,36.266186,12841500
2014-03-12,38.820000,38.820000,38.279999,38.520000,35.911907,13226200
2014-03-13,38.619999,38.660000,37.520000,37.650002,35.100822,15361200
2014-03-14,37.689999,38.000000,37.500000,37.599998,35.054203,14308300
2014-03-17,37.799999,38.480000,37.799999,38.220001,35.632221,14981300
2014-03-18,38.369999,38.939999,38.160000,38.840000,36.210239,29707200
2014-03-19,37.799999,38.959999,37.400002,38.549999,35.939880,45154900
2014-03-20,38.500000,38.689999,38.009998,38.369999,35.772049,18960200
2014-03-21,38.700001,38.849998,37.500000,37.500000,34.960968,33897900
2014-03-24,37.490002,38.340000,37.380001,38.180000,35.594929,22539000
2014-03-25,38.130001,38.500000,38.099998,38.400002,35.800026,19750600
2014-03-26,38.400002,39.459999,38.360001,39.080002,36.433994,31357500
2014-03-27,38.990002,39.560001,38.799999,39.240002,36.583157,26283600
2014-03-28,39.520000,39.860001,39.189999,39.570000,36.890823,18405100
2014-03-31,39.750000,41.430000,39.630001,40.910000,38.140087,48340300
2014-04-01,41.040001,42.000000,40.959999,41.490002,38.680820,35431800
2014-04-02,41.369999,41.619999,40.849998,41.130001,38.345192,22754900
2014-04-03,41.040001,41.139999,40.340000,40.369999,37.636642,22497000
2014-04-04,40.599998,40.730000,39.660000,39.980000,37.384174,23836200
2014-04-07,39.799999,39.919998,39.040001,39.470001,36.907307,27311900
2014-04-08,39.439999,40.349998,39.360001,40.240002,37.627296,22197600
2014-04-09,40.470001,40.919998,40.180000,40.880001,38.225746,20314000
2014-04-10,40.889999,41.049999,39.480000,39.790001,37.206516,26397800
2014-04-11,39.509998,39.880001,38.970001,38.980000,36.449104,18655800
2014-04-14,39.080002,39.750000,39.080002,39.570000,37.000805,16022000
2014-04-15,39.700001,39.980000,39.240002,39.730000,37.150414,14553400
2014-04-16,39.939999,40.150002,39.509998,40.130001,37.524445,13614800
2014-04-17,39.959999,40.180000,39.389999,40.080002,37.477695,14644100
2014-04-21,40.240002,40.439999,40.060001,40.240002,37.627296,8593600
2014-04-22,40.270000,40.619999,40.139999,40.459999,37.833012,10396100
2014-04-23,40.279999,40.340000,39.750000,39.790001,37.206516,10048500
2014-04-24,39.759998,39.860001,39.020000,39.750000,37.169109,13966400
2014-04-25,39.810001,39.810001,39.230000,39.450001,36.888588,11647800
2014-04-28,39.750000,40.279999,39.650002,40.130001,37.524445,20141200
2014-04-29,40.250000,40.610001,40.070000,40.110001,37.505741,14996300
2014-04-30,40.090000,40.930000,40.020000,40.880001,38.225746,16480900
2014-05-01,40.720001,41.189999,40.639999,40.970001,38.309902,13945500
2014-05-02,41.160000,41.209999,40.810001,40.810001,38.160286,10710100
2014-05-05,41.130001,41.259998,40.770000,41.209999,38.534317,13722700
2014-05-06,41.000000,41.290001,40.970001,41.009998,38.347301,12647500
2014-05-07,41.150002,41.279999,40.490002,41.060001,38.394058,12570400
2014-05-08,41.090000,41.259998,40.549999,40.869999,38.216400,10212900
2014-05-09,40.799999,41.259998,40.540001,41.040001,38.375355,10262400
2014-05-12,41.220001,42.139999,41.189999,41.950001,39.226269,18751400
2014-05-13,42.020000,42.090000,41.639999,41.889999,39.170166,10319200
2014-05-14,41.980000,42.020000,41.709999,41.880001,39.160816,14015200
2014-05-15,41.840000,42.169998,41.639999,41.930000,39.207577,19267000
2014-05-16,41.889999,41.970001,41.320000,41.689999,38.983154,15497400
2014-05-19,41.480000,42.200001,41.410000,42.160000,39.422634,11929700
2014-05-20,42.070000,42.099998,41.450001,41.560001,38.861603,10580200
2014-05-21,41.669998,41.790001,41.480000,41.680000,38.973804,11151700
2014-05-22,41.599998,41.939999,41.509998,41.520000,38.824196,12276200
2014-05-23,41.650002,42.230000,41.490002,42.150002,39.413288,12044200
2014-05-27,42.259998,42.349998,41.730000,41.910000,39.188869,12680200
2014-05-28,41.990002,42.189999,41.560001,41.570000,38.870949,11308800
2014-05-29,41.790001,42.209999,41.610001,42.200001,39.460037,9629500
2014-05-30,42.080002,42.200001,41.849998,42.020000,39.291733,13496500
2014-06-02,41.959999,42.020000,41.610001,41.970001,39.244972,11284900
2014-06-03,41.840000,41.919998,41.580002,41.810001,39.095356,10968400
2014-06-04,41.790001,41.790001,41.330002,41.700001,38.992508,8936300
2014-06-05,41.849998,42.330002,41.740002,42.099998,39.366535,10647800
2014-06-06,42.290001,42.630001,42.250000,42.630001,39.862125,11447800
2014-06-09,42.650002,42.810001,42.410000,42.700001,39.927574,10307400
2014-06-10,42.570000,42.880001,42.490002,42.660000,39.890175,13457200
2014-06-11,42.450001,42.880001,42.360001,42.560001,39.796661,9622700
2014-06-12,42.529999,42.619999,41.840000,42.000000,39.273022,11060900
2014-06-13,42.049999,42.180000,41.709999,42.139999,39.403923,10324600
2014-06-16,42.000000,42.230000,41.770000,42.150002,39.413288,8150200
2014-06-17,42.189999,42.700001,41.980000,42.320000,39.572247,12792400
2014-06-18,42.380001,42.860001,42.299999,42.810001,40.030437,10307000
2014-06-19,42.930000,43.189999,42.430000,42.509998,39.749908,27255800
2014-06-20,40.259998,40.939999,39.930000,40.820000,38.169636,65103700
2014-06-23,40.930000,41.330002,40.750000,41.099998,38.431465,16956600
2014-06-24,40.990002,41.389999,40.660000,40.759998,38.113522,16459200
2014-06-25,40.730000,40.840000,40.389999,40.459999,37.833012,13889400
2014-06-26,40.549999,40.549999,39.980000,40.150002,37.543140,16642500
2014-06-27,40.029999,40.660000,40.029999,40.529999,37.898464,15320500
2014-06-30,40.599998,40.820000,40.490002,40.529999,37.898464,14098200
2014-07-01,40.410000,40.910000,40.410000,40.770000,38.122887,13147000
2014-07-02,40.930000,41.200001,40.770000,40.950001,38.291203,13400200
2014-07-03,40.980000,41.360001,40.970001,41.340000,38.655888,7863600
2014-07-07,41.009998,41.110001,40.750000,40.889999,38.346409,11959400
2014-07-08,40.689999,40.849998,40.380001,40.560001,38.036942,12350600
2014-07-09,40.610001,40.720001,39.990002,40.259998,37.755585,14711600
2014-07-10,39.889999,40.520000,39.889999,40.320000,37.811855,9566900
2014-07-11,40.490002,40.490002,39.980000,40.130001,37.633686,11942300
2014-07-14,40.430000,40.680000,40.259998,40.490002,37.971291,13586800
2014-07-15,40.380001,40.810001,40.360001,40.540001,38.018177,11813800
2014-07-16,40.810001,40.880001,40.130001,40.259998,37.755585,14722600
2014-07-17,40.209999,40.709999,39.860001,39.910000,37.427368,24447800
2014-07-18,39.980000,40.160000,39.889999,40.000000,37.511768,19123500
2014-07-21,40.029999,40.240002,39.919998,40.009998,37.521152,15864700
2014-07-22,40.139999,40.700001,39.959999,40.430000,37.915028,13728100
2014-07-23,40.430000,40.650002,40.240002,40.310001,37.802479,9191700
2014-07-24,40.349998,40.669998,40.349998,40.470001,37.952534,10797700
2014-07-25,40.270000,40.639999,40.270000,40.330002,37.821239,7483800
2014-07-28,40.310001,40.820000,40.230000,40.549999,38.027554,9658200
2014-07-29,40.709999,40.919998,40.500000,40.630001,38.102581,9450400
2014-07-30,40.709999,41.029999,40.580002,40.959999,38.412048,11406300
2014-07-31,40.650002,40.939999,40.349998,40.389999,37.877506,13689500
2014-08-01,40.189999,40.529999,39.570000,39.610001,37.146038,15074700
2014-08-04,39.630001,40.220001,39.529999,40.099998,37.605545,12356200
2014-08-05,40.009998,40.380001,39.810001,39.959999,37.474258,8806600
2014-08-06,39.849998,40.349998,39.779999,40.160000,37.661819,8184800
2014-08-07,40.299999,40.430000,39.590000,39.669998,37.202290,9180500
2014-08-08,39.730000,39.970001,39.560001,39.939999,37.455502,8862000
2014-08-11,39.990002,40.139999,39.810001,39.919998,37.436737,10292800
2014-08-12,39.740002,40.040001,39.730000,39.900002,37.417995,6704300
2014-08-13,40.119999,40.299999,40.020000,40.240002,37.736843,10629700
2014-08-14,40.290001,40.400002,39.980000,40.220001,37.718086,9707000
2014-08-15,40.240002,40.590000,39.980000,40.279999,37.774349,13418800
2014-08-18,40.450001,40.770000,40.400002,40.639999,38.111950,7633600
2014-08-19,40.720001,41.580002,40.639999,41.410000,38.834057,14378600
2014-08-20,41.580002,41.580002,41.090000,41.250000,38.684006,9627100
2014-08-21,41.160000,41.810001,41.160000,41.580002,38.993484,9569200
2014-08-22,41.340000,41.799999,41.270000,41.630001,39.040375,9260700
2014-08-25,41.740002,42.040001,41.639999,41.740002,39.143536,8856700
2014-08-26,41.849998,42.000000,41.779999,41.840000,39.237309,7320800
2014-08-27,41.750000,41.799999,41.419998,41.639999,39.049747,8440000
2014-08-28,41.669998,41.669998,41.209999,41.270000,38.702766,8737100
2014-08-29,41.240002,41.730000,41.240002,41.529999,38.946590,8970900
2014-09-02,41.599998,41.680000,41.459999,41.660000,39.068508,8538600
2014-09-03,41.799999,41.950001,41.619999,41.900002,39.293579,10041600
2014-09-04,41.889999,42.090000,41.369999,41.549999,38.965351,12248100
2014-09-05,41.610001,41.759998,41.259998,41.270000,38.702766,15155600
2014-09-08,41.009998,41.180000,40.270000,40.639999,38.111950,19658500
2014-09-09,40.509998,40.910000,40.430000,40.709999,38.177605,14044100
2014-09-10,40.700001,40.810001,40.570000,40.709999,38.177605,9134500
2014-09-11,40.250000,40.689999,40.200001,40.680000,38.149467,12389100
2014-09-12,40.740002,40.740002,40.400002,40.500000,37.980663,11912300
2014-09-15,40.500000,40.770000,40.209999,40.660000,38.130707,14018100
2014-09-16,40.810001,41.330002,40.500000,41.189999,38.627747,13220100
2014-09-17,41.189999,41.330002,40.770000,41.139999,38.580856,14083300
2014-09-18,41.349998,41.770000,41.200001,41.549999,38.965351,26454500
2014-09-19,40.580002,40.660000,39.279999,39.799999,37.324219,86679100
2014-09-22,39.680000,39.740002,39.240002,39.580002,37.117893,24572600
2014-09-23,39.500000,39.590000,38.799999,38.830002,36.414551,34353300
2014-09-24,38.770000,39.560001,38.570000,39.419998,36.967842,18937000
2014-09-25,39.349998,39.349998,38.650002,38.759998,36.348900,13287800
2014-09-26,38.770000,39.009998,38.520000,38.950001,36.527084,16006400
2014-09-29,38.570000,38.630001,38.270000,38.439999,36.048805,16586000
2014-09-30,38.459999,38.570000,38.139999,38.279999,35.898754,21143300
2014-10-01,38.320000,38.410000,37.950001,38.090000,35.720577,17452400
2014-10-02,38.150002,38.549999,37.919998,38.270000,35.889385,14808100
2014-10-03,38.500000,39.119999,38.400002,38.889999,36.470814,15289500
2014-10-06,38.970001,39.240002,38.950001,39.080002,36.762436,14168000
2014-10-07,38.939999,39.080002,38.430000,38.459999,36.179203,14309200
2014-10-08,38.820000,39.049999,38.040001,39.020000,36.705994,16005500
2014-10-09,38.990002,39.209999,38.509998,38.740002,36.442600,15004900
2014-10-10,38.660000,39.099998,38.090000,38.099998,35.840542,18234100
2014-10-13,38.110001,38.779999,37.860001,38.230000,35.962833,20723700
2014-10-14,38.660000,39.040001,38.419998,38.459999,36.179203,19508500
2014-10-15,37.980000,38.430000,37.180000,38.299999,36.028690,24561500
2014-10-16,37.990002,38.180000,37.520000,37.560001,35.332577,21419300
2014-10-17,37.689999,38.020000,37.340000,37.869999,35.624191,21122700
2014-10-20,36.310001,37.810001,35.820000,37.799999,35.558342,16654100
2014-10-21,38.290001,38.470001,38.040001,38.349998,36.075722,15381900
2014-10-22,38.369999,38.430000,37.580002,37.639999,35.407825,16810200
2014-10-23,38.080002,38.500000,38.009998,38.230000,35.962833,9659100
2014-10-24,38.320000,38.740002,38.250000,38.730000,36.433197,8975900
2014-10-27,38.500000,38.720001,38.349998,38.430000,36.150974,7525300
2014-10-28,38.340000,38.730000,38.340000,38.650002,36.357933,11631800
2014-10-29,38.730000,38.740002,38.459999,38.580002,36.292084,10923800
2014-10-30,38.400002,38.660000,38.389999,38.500000,36.216820,9644400
2014-10-31,38.880001,39.049999,38.830002,39.049999,36.734211,16142800
2014-11-03,39.020000,39.040001,38.759998,38.990002,36.677769,10318600
2014-11-04,38.930000,39.150002,38.900002,39.130001,36.809471,12671000
2014-11-05,39.340000,39.509998,39.110001,39.290001,36.959976,12280300
2014-11-06,39.220001,39.860001,39.110001,39.810001,37.449142,11603400
2014-11-07,39.689999,39.970001,39.610001,39.939999,37.571430,13728500
2014-11-10,39.970001,40.490002,39.889999,40.450001,38.051189,11058100
2014-11-11,40.529999,40.590000,40.349998,40.470001,38.070004,7061000
2014-11-12,40.560001,40.590000,40.049999,40.139999,37.759575,10965100
2014-11-13,40.169998,40.770000,39.889999,40.720001,38.305172,11868700
2014-11-14,40.860001,41.070000,40.630001,40.840000,38.418060,11476500
2014-11-17,40.709999,41.200001,40.630001,41.160000,38.719078,11987600
2014-11-18,41.189999,41.480000,41.110001,41.259998,38.813145,9328200
2014-11-19,41.150002,41.270000,40.810001,40.919998,38.493309,9202600
2014-11-20,40.709999,41.009998,40.610001,40.919998,38.493309,9062200
2014-11-21,41.320000,41.500000,41.169998,41.439999,38.982475,12641400
2014-11-24,41.490002,41.639999,41.360001,41.430000,38.973068,9542100
2014-11-25,41.509998,41.639999,41.150002,41.150002,38.709671,12404200
2014-11-26,41.180000,41.910000,41.180000,41.869999,39.386971,11590000
2014-11-28,41.980000,42.509998,41.889999,42.410000,39.894947,11890100
2014-12-01,42.009998,42.380001,42.009998,42.080002,39.584522,10802400
2014-12-02,41.900002,42.360001,41.860001,42.180000,39.678596,9083200
2014-12-03,41.939999,42.139999,41.639999,42.060001,39.565712,10326000
2014-12-04,42.119999,42.119999,41.490002,41.889999,39.405788,9177100
2014-12-05,42.020000,42.020000,41.590000,41.930000,39.443420,8925300
2014-12-08,41.910000,42.029999,41.330002,41.369999,38.916622,12766500
2014-12-09,40.980000,41.930000,40.889999,41.869999,39.386971,13897500
2014-12-10,41.700001,41.810001,40.880001,40.919998,38.493309,12547600
2014-12-11,41.119999,41.639999,40.709999,40.759998,38.342800,12395800
2014-12-12,40.240002,40.779999,39.919998,39.950001,37.580837,14108200
2014-12-15,41.209999,41.650002,40.770000,41.110001,38.672047,22343100
2014-12-16,40.889999,41.360001,40.610001,40.630001,38.220520,16424500
2014-12-17,41.060001,41.630001,40.680000,41.160000,38.719078,18151000
2014-12-18,43.830002,45.369999,43.570000,45.349998,42.660591,54495600
2014-12-19,45.099998,46.150002,44.980000,46.000000,43.272057,41782200
2014-12-22,45.570000,46.049999,45.410000,45.650002,42.942802,21264400
2014-12-23,45.529999,46.500000,45.459999,46.009998,43.281460,14042400
2014-12-24,46.360001,46.709999,46.150002,46.230000,43.488419,10238200
2014-12-26,46.189999,46.500000,46.070000,46.099998,43.366119,6901500
2014-12-29,46.020000,46.090000,45.599998,45.610001,42.905186,9701400
2014-12-30,45.549999,45.660000,45.290001,45.340000,42.651192,9968400
2014-12-31,45.450001,45.560001,44.970001,44.970001,42.303135,13269200


================================================
FILE: datas/orcl-2003-2005.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
2003-01-02,10.940000,11.250000,10.800000,11.210000,9.971185,32064900
2003-01-03,11.190000,11.620000,11.120000,11.560000,10.282507,30879500
2003-01-06,11.540000,12.110000,11.540000,11.960000,10.638303,45324400
2003-01-07,11.890000,12.800000,11.760000,12.690000,11.287631,72764800
2003-01-08,12.570000,12.650000,12.070000,12.120000,10.780618,53623200
2003-01-09,12.460000,13.180000,12.400000,13.010000,11.572268,71178800
2003-01-10,12.660000,13.250000,12.490000,13.070000,11.625636,52033600
2003-01-13,13.300000,13.360000,12.830000,12.930000,11.501109,40588200
2003-01-14,12.880000,13.200000,12.800000,13.110000,11.661217,39310400
2003-01-15,13.150000,13.240000,12.460000,12.530000,11.145312,41972100
2003-01-16,12.510000,12.800000,12.100000,12.170000,10.825096,50428400
2003-01-17,11.680000,11.740000,11.420000,11.440000,10.175767,55319200
2003-01-21,11.590000,11.920000,11.470000,11.570000,10.291402,36345400
2003-01-22,11.590000,12.140000,11.450000,11.620000,10.335875,45273300
2003-01-23,12.050000,12.590000,11.890000,12.460000,11.083047,46467100
2003-01-24,12.410000,12.440000,11.670000,11.770000,10.469296,45555000
2003-01-27,11.800000,12.060000,11.600000,11.930000,10.611618,44095200
2003-01-28,12.150000,12.160000,11.710000,11.970000,10.647197,36313900
2003-01-29,11.780000,12.190000,11.550000,12.020000,10.691673,36287500
2003-01-30,12.080000,12.480000,11.690000,11.750000,10.451510,38272500
2003-01-31,11.590000,12.180000,11.500000,12.030000,10.700568,48082000
2003-02-03,12.010000,12.140000,11.890000,12.010000,10.682778,30451300
2003-02-04,11.850000,12.130000,11.520000,11.730000,10.433721,47845200
2003-02-05,11.880000,12.040000,11.500000,11.520000,10.246928,41316900
2003-02-06,11.510000,11.720000,11.330000,11.530000,10.255820,39066500
2003-02-07,11.740000,11.900000,11.260000,11.340000,10.086818,43943700
2003-02-10,11.410000,11.800000,11.380000,11.750000,10.451510,33763500
2003-02-11,11.840000,12.140000,11.720000,11.910000,10.593827,46126300
2003-02-12,11.820000,11.950000,11.490000,11.500000,10.229136,39650300
2003-02-13,11.560000,11.690000,11.350000,11.540000,10.264715,34557500
2003-02-14,11.560000,11.920000,11.350000,11.700000,10.407034,41473100
2003-02-18,11.900000,12.440000,11.790000,12.420000,11.047471,40391400
2003-02-19,12.330000,12.370000,12.120000,12.320000,10.958520,34828800
2003-02-20,12.390000,12.470000,12.230000,12.310000,10.949624,31167700
2003-02-21,12.180000,12.440000,11.870000,12.390000,11.020787,44233400
2003-02-24,12.190000,12.450000,11.810000,11.820000,10.513773,45766300
2003-02-25,11.640000,12.010000,11.480000,11.940000,10.620513,47223800
2003-02-26,11.910000,12.100000,11.670000,11.720000,10.424827,40775700
2003-02-27,11.910000,12.090000,11.730000,11.890000,10.576039,36829700
2003-02-28,11.890000,12.140000,11.830000,11.960000,10.638303,35480000
2003-03-03,12.200000,12.200000,11.640000,11.690000,10.398142,34375200
2003-03-04,11.740000,11.860000,11.550000,11.630000,10.344773,37421000
2003-03-05,11.380000,11.410000,10.990000,11.170000,9.935604,64571400
2003-03-06,11.180000,11.350000,11.020000,11.160000,9.926711,37140800
2003-03-07,10.940000,11.300000,10.840000,11.060000,9.837760,44083500
2003-03-10,10.820000,11.000000,10.670000,10.760000,9.570913,30568300
2003-03-11,10.810000,10.960000,10.650000,10.680000,9.499754,36460600
2003-03-12,10.650000,11.060000,10.640000,11.000000,9.784389,41539800
2003-03-13,11.310000,11.940000,11.190000,11.900000,10.584934,57891600
2003-03-14,11.890000,12.050000,11.650000,11.940000,10.620513,51565800
2003-03-17,11.710000,12.450000,11.600000,12.350000,10.985206,56316800
2003-03-18,12.370000,12.450000,12.060000,12.250000,10.896253,58587300
2003-03-19,11.650000,11.830000,11.100000,11.310000,10.060135,123560800
2003-03-20,11.430000,11.600000,11.110000,11.500000,10.229136,55821400
2003-03-21,11.690000,11.830000,11.270000,11.350000,10.095716,65517600
2003-03-24,11.140000,11.300000,10.990000,11.030000,9.811075,42180200
2003-03-25,11.190000,11.490000,11.070000,11.300000,10.051239,41673400
2003-03-26,11.340000,11.580000,11.250000,11.440000,10.175767,38346100
2003-03-27,11.300000,11.510000,11.230000,11.360000,10.104609,29790500
2003-03-28,11.250000,11.390000,11.100000,11.100000,9.873343,27751300
2003-03-31,10.830000,11.090000,10.820000,10.850000,9.650972,44908800
2003-04-01,10.880000,10.910000,10.650000,10.760000,9.570913,50467600
2003-04-02,11.060000,11.560000,10.900000,11.460000,10.193557,48276800
2003-04-03,11.820000,11.860000,11.540000,11.620000,10.335875,44264100
2003-04-04,11.660000,11.740000,11.000000,11.370000,10.113503,34937000
2003-04-07,11.900000,12.510000,11.680000,11.710000,10.415929,45510400
2003-04-08,11.670000,11.740000,11.480000,11.500000,10.229136,34791300
2003-04-09,11.620000,11.640000,11.160000,11.170000,9.935604,39120000
2003-04-10,11.190000,11.450000,11.070000,11.370000,10.113503,31242200
2003-04-11,11.520000,11.690000,11.200000,11.290000,10.042344,27457400
2003-04-14,11.330000,11.710000,11.230000,11.660000,10.371456,28588700
2003-04-15,11.530000,11.750000,11.460000,11.540000,10.264715,33429700
2003-04-16,11.760000,11.950000,11.560000,11.580000,10.300299,41489400
2003-04-17,11.550000,12.010000,11.460000,12.000000,10.673881,35670800
2003-04-21,11.980000,12.190000,11.800000,11.840000,10.531563,29742500
2003-04-22,11.790000,12.190000,11.700000,12.130000,10.789515,33697200
2003-04-23,11.930000,12.080000,11.870000,12.000000,10.673881,30255100
2003-04-24,11.830000,12.090000,11.760000,12.030000,10.700568,31261600
2003-04-25,11.960000,12.020000,11.770000,11.790000,10.487089,26159300
2003-04-28,11.800000,12.040000,11.660000,11.970000,10.647197,29737500
2003-04-29,11.950000,12.200000,11.930000,12.020000,10.691673,31540200
2003-04-30,11.960000,12.030000,11.810000,11.880000,10.567142,40601500
2003-05-01,11.850000,11.990000,11.740000,11.920000,10.602724,26984400
2003-05-02,11.790000,12.240000,11.790000,12.200000,10.851779,35190700
2003-05-05,12.190000,12.300000,12.060000,12.080000,10.745041,34043100
2003-05-06,11.980000,12.550000,11.930000,12.410000,11.038571,44153800
2003-05-07,12.360000,12.550000,12.140000,12.190000,10.842883,45258000
2003-05-08,12.000000,12.360000,12.000000,12.100000,10.762835,34438600
2003-05-09,12.240000,12.500000,12.200000,12.420000,11.047471,33759800
2003-05-12,12.290000,12.530000,12.200000,12.460000,11.083047,33784200
2003-05-13,12.360000,12.650000,12.320000,12.420000,11.047471,34690400
2003-05-14,12.600000,12.640000,12.340000,12.530000,11.145312,34511800
2003-05-15,12.600000,13.010000,12.560000,12.910000,11.483317,45269100
2003-05-16,12.910000,13.000000,12.470000,12.560000,11.172000,34563400
2003-05-19,12.450000,12.620000,12.100000,12.170000,10.825096,32926600
2003-05-20,12.210000,12.280000,12.010000,12.160000,10.816200,33688700
2003-05-21,12.120000,12.220000,11.970000,12.100000,10.762835,35936400
2003-05-22,12.130000,12.410000,12.120000,12.300000,10.940730,26953500
2003-05-23,12.220000,12.300000,12.060000,12.100000,10.762835,25251500
2003-05-27,12.030000,12.740000,11.980000,12.650000,11.252048,35590200
2003-05-28,12.810000,13.400000,12.700000,13.260000,11.794641,78128000
2003-05-29,13.070000,13.280000,12.810000,12.830000,11.412163,50293400
2003-05-30,12.950000,13.250000,12.890000,13.010000,11.572268,43628800
2003-06-02,13.210000,13.250000,12.760000,12.800000,11.385474,41425900
2003-06-03,12.860000,13.160000,12.760000,13.020000,11.581161,33190800
2003-06-04,13.110000,13.700000,13.000000,13.580000,12.079280,53947300
2003-06-05,13.400000,13.570000,13.280000,13.360000,11.883589,37461900
2003-06-06,13.640000,13.950000,12.950000,13.090000,11.643428,102963900
2003-06-09,13.130000,13.250000,12.710000,12.860000,11.438843,51279400
2003-06-10,13.050000,13.090000,12.860000,13.020000,11.581161,40820000
2003-06-11,13.210000,13.420000,13.030000,13.270000,11.803535,41013300
2003-06-12,13.400000,13.480000,13.100000,13.330000,11.856905,40907500
2003-06-13,13.920000,14.000000,13.360000,13.480000,11.990325,81322400
2003-06-16,13.620000,13.900000,13.300000,13.650000,12.141539,31357300
2003-06-17,13.740000,13.770000,13.280000,13.350000,11.874691,36730100
2003-06-18,13.290000,13.540000,13.260000,13.420000,11.936957,49885300
2003-06-19,13.350000,13.510000,13.260000,13.340000,11.865800,39496600
2003-06-20,13.520000,13.610000,12.860000,12.930000,11.501109,51764300
2003-06-23,12.950000,13.050000,12.650000,12.770000,11.358789,30410900
2003-06-24,12.860000,13.010000,12.600000,12.650000,11.252048,30663200
2003-06-25,12.650000,12.810000,12.350000,12.380000,11.011891,26269000
2003-06-26,12.520000,12.610000,12.150000,12.520000,11.136417,30859200
2003-06-27,12.550000,12.690000,12.240000,12.430000,11.056364,29954600
2003-06-30,12.490000,12.550000,12.000000,12.010000,10.682778,42454900
2003-07-01,12.040000,12.380000,11.740000,12.330000,10.967413,45514700
2003-07-02,12.480000,12.750000,12.320000,12.450000,11.074152,40358900
2003-07-03,12.330000,12.520000,12.120000,12.180000,10.833991,15602700
2003-07-07,12.360000,12.760000,12.290000,12.570000,11.180889,29498700
2003-07-08,12.600000,12.880000,12.550000,12.730000,11.323209,43898700
2003-07-09,12.920000,13.050000,12.600000,12.670000,11.269840,33649900
2003-07-10,12.510000,12.740000,12.410000,12.600000,11.207576,41053100
2003-07-11,12.600000,12.880000,12.580000,12.840000,11.421054,30605400
2003-07-14,12.940000,13.090000,12.530000,12.640000,11.243156,28583900
2003-07-15,12.850000,12.890000,12.540000,12.630000,11.234262,34859600
2003-07-16,12.690000,12.710000,12.300000,12.410000,11.038571,30646000
2003-07-17,12.220000,12.310000,12.030000,12.090000,10.753934,29515500
2003-07-18,12.100000,12.160000,11.990000,12.080000,10.745041,24285200
2003-07-21,12.060000,12.110000,11.590000,11.690000,10.398142,36377800
2003-07-22,11.900000,12.250000,11.820000,12.070000,10.736146,43591000
2003-07-23,12.190000,12.210000,11.830000,12.100000,10.762835,27594900
2003-07-24,12.210000,12.360000,11.650000,11.680000,10.389247,42418200
2003-07-25,11.740000,12.130000,11.600000,12.100000,10.762835,29301700
2003-07-28,12.170000,12.240000,11.800000,11.880000,10.567142,35409100
2003-07-29,11.950000,12.060000,11.690000,11.920000,10.602724,30663400
2003-07-30,12.020000,12.060000,11.810000,11.880000,10.567142,27817400
2003-07-31,12.080000,12.310000,11.880000,11.990000,10.664987,34629900
2003-08-01,11.900000,11.990000,11.730000,11.820000,10.513773,29348000
2003-08-04,11.880000,12.000000,11.670000,11.860000,10.549355,27503500
2003-08-05,11.820000,11.960000,11.620000,11.640000,10.353663,30777600
2003-08-06,11.560000,11.640000,11.430000,11.450000,10.184662,44154700
2003-08-07,11.460000,11.530000,11.180000,11.390000,10.131290,30669300
2003-08-08,11.490000,11.510000,11.170000,11.290000,10.042344,25653500
2003-08-11,11.780000,11.900000,11.600000,11.680000,10.389247,51264000
2003-08-12,11.860000,12.160000,11.810000,12.160000,10.816200,48958700
2003-08-13,12.390000,12.390000,11.800000,11.900000,10.584934,68194900
2003-08-14,11.980000,12.200000,11.880000,12.120000,10.780618,29768000
2003-08-15,12.090000,12.140000,11.960000,12.080000,10.745041,12464200
2003-08-18,12.160000,12.200000,12.090000,12.180000,10.833991,28071100
2003-08-19,12.290000,12.320000,11.980000,12.150000,10.807303,40467800
2003-08-20,12.050000,12.160000,11.960000,12.120000,10.780618,23000600
2003-08-21,12.230000,12.320000,12.050000,12.160000,10.816200,36844900
2003-08-22,12.240000,12.500000,12.150000,12.300000,10.940730,45221100
2003-08-25,12.230000,12.410000,12.190000,12.370000,11.002991,30133800
2003-08-26,12.270000,12.520000,12.030000,12.440000,11.065258,49911800
2003-08-27,12.360000,12.570000,12.310000,12.450000,11.074152,38240700
2003-08-28,12.500000,12.800000,12.480000,12.770000,11.358789,37764900
2003-08-29,12.710000,12.890000,12.640000,12.830000,11.412163,33163800
2003-09-02,12.960000,13.450000,12.940000,13.390000,11.910271,86313000
2003-09-03,13.730000,14.030000,13.580000,13.760000,12.239388,100807000
2003-09-04,13.650000,13.780000,13.510000,13.720000,12.203808,41802700
2003-09-05,13.400000,13.510000,13.000000,13.080000,11.634531,77735500
2003-09-08,13.250000,13.540000,13.230000,13.480000,11.990325,58859800
2003-09-09,13.430000,13.480000,13.260000,13.360000,11.883589,39313700
2003-09-10,13.150000,13.370000,12.790000,12.850000,11.429949,48143700
2003-09-11,13.030000,13.180000,12.860000,12.980000,11.545584,55297300
2003-09-12,12.140000,12.600000,12.050000,12.550000,11.163103,125872200
2003-09-15,12.560000,12.640000,12.380000,12.450000,11.074152,44944600
2003-09-16,12.470000,12.560000,12.410000,12.530000,11.145312,42621000
2003-09-17,12.510000,12.540000,12.220000,12.280000,10.922938,48337000
2003-09-18,12.270000,12.410000,12.140000,12.360000,10.994098,53130900
2003-09-19,12.320000,12.350000,12.070000,12.120000,10.780618,56562500
2003-09-22,12.020000,12.080000,11.870000,11.970000,10.647197,48600400
2003-09-23,12.070000,12.130000,11.970000,12.030000,10.700568,41884000
2003-09-24,12.030000,12.090000,11.600000,11.600000,10.318087,73146100
2003-09-25,11.670000,11.930000,11.530000,11.560000,10.282507,41716800
2003-09-26,11.650000,11.710000,11.390000,11.410000,10.149080,45417900
2003-09-29,11.550000,11.640000,11.360000,11.640000,10.353663,41382800
2003-09-30,11.500000,11.520000,11.210000,11.250000,10.006766,54694100
2003-10-01,11.380000,11.730000,11.350000,11.690000,10.398142,47601100
2003-10-02,11.570000,11.630000,11.370000,11.400000,10.140189,53302900
2003-10-03,11.860000,12.090000,11.710000,11.980000,10.656094,76447800
2003-10-06,12.070000,12.300000,12.040000,12.190000,10.842883,36214900
2003-10-07,12.050000,12.260000,11.960000,12.200000,10.851779,45506900
2003-10-08,12.530000,12.750000,12.380000,12.630000,11.234262,71375900
2003-10-09,12.750000,12.890000,12.310000,12.330000,10.967413,63201300
2003-10-10,12.450000,12.510000,12.290000,12.330000,10.967413,38087200
2003-10-13,12.390000,12.490000,12.210000,12.280000,10.922938,45863300
2003-10-14,12.250000,12.400000,12.160000,12.330000,10.967413,32292100
2003-10-15,12.460000,12.500000,12.030000,12.120000,10.780618,44173200
2003-10-16,12.100000,12.160000,11.860000,11.970000,10.647197,60555300
2003-10-17,11.910000,12.010000,11.680000,11.720000,10.424827,49571700
2003-10-20,11.780000,11.970000,11.760000,11.910000,10.593827,34152800
2003-10-21,12.030000,12.100000,11.920000,11.980000,10.656094,33965400
2003-10-22,11.840000,11.960000,11.700000,11.720000,10.424827,30664800
2003-10-23,11.660000,11.870000,11.600000,11.750000,10.451510,29827900
2003-10-24,11.600000,11.780000,11.520000,11.730000,10.433721,40662500
2003-10-27,11.800000,11.890000,11.610000,11.700000,10.407034,27969800
2003-10-28,11.720000,12.000000,11.550000,11.980000,10.656094,44104200
2003-10-29,11.930000,12.080000,11.760000,11.890000,10.576039,40955000
2003-10-30,12.090000,12.290000,11.920000,12.190000,10.842883,53247200
2003-10-31,12.120000,12.280000,11.960000,11.970000,10.647197,32516500
2003-11-03,12.060000,12.320000,12.020000,12.190000,10.842883,35722600
2003-11-04,12.070000,12.480000,12.040000,12.210000,10.860674,42082700
2003-11-05,12.330000,12.480000,12.190000,12.350000,10.985206,36371900
2003-11-06,12.530000,12.720000,12.200000,12.700000,11.296529,76866900
2003-11-07,12.790000,12.880000,12.430000,12.460000,11.083047,50302100
2003-11-10,12.410000,12.750000,12.350000,12.570000,11.180889,44400800
2003-11-11,12.690000,12.740000,12.400000,12.540000,11.154209,34508000
2003-11-12,12.560000,12.850000,12.540000,12.770000,11.358789,38815500
2003-11-13,12.630000,12.720000,12.460000,12.570000,11.180889,34809000
2003-11-14,12.570000,12.670000,12.270000,12.290000,10.931831,36909100
2003-11-17,12.240000,12.250000,11.980000,12.090000,10.753934,34247700
2003-11-18,12.190000,12.240000,11.780000,11.810000,10.504880,42238700
2003-11-19,11.850000,12.130000,11.790000,12.030000,10.700568,37597900
2003-11-20,11.920000,12.140000,11.770000,11.820000,10.513773,41329600
2003-11-21,11.920000,12.000000,11.750000,11.880000,10.567142,31832800
2003-11-24,12.050000,12.100000,11.920000,12.050000,10.718357,43397800
2003-11-25,12.070000,12.080000,11.860000,11.870000,10.558247,40057100
2003-11-26,12.000000,12.050000,11.860000,12.040000,10.709458,30882000
2003-11-28,12.020000,12.060000,11.980000,12.020000,10.691673,8159500
2003-12-01,12.170000,12.570000,12.160000,12.510000,11.127522,50681500
2003-12-02,12.490000,12.690000,12.350000,12.400000,11.029679,47466000
2003-12-03,12.710000,13.100000,12.650000,12.900000,11.474422,89509200
2003-12-04,12.950000,13.060000,12.820000,12.990000,11.554479,56952500
2003-12-05,12.860000,12.990000,12.710000,12.740000,11.332106,39383800
2003-12-08,12.690000,12.930000,12.640000,12.810000,11.394370,32397300
2003-12-09,12.920000,12.970000,12.510000,12.610000,11.216468,40658700
2003-12-10,12.610000,12.800000,12.600000,12.780000,11.367684,41922500
2003-12-11,12.740000,12.900000,12.720000,12.830000,11.412163,39950200
2003-12-12,12.880000,12.900000,12.690000,12.830000,11.412163,37379900
2003-12-15,13.070000,13.080000,12.650000,12.700000,11.296529,82537400
2003-12-16,12.980000,13.230000,12.750000,13.120000,11.670113,95028600
2003-12-17,13.080000,13.260000,13.050000,13.250000,11.785744,46581000
2003-12-18,13.220000,13.430000,13.200000,13.330000,11.856905,48645300
2003-12-19,13.340000,13.430000,12.980000,13.090000,11.643428,52988700
2003-12-22,12.970000,13.210000,12.920000,13.200000,11.741268,37429800
2003-12-23,13.240000,13.240000,12.980000,13.050000,11.607845,27584700
2003-12-24,12.990000,13.130000,12.950000,12.970000,11.536691,15177900
2003-12-26,12.980000,13.060000,12.950000,13.000000,11.563371,9305200
2003-12-29,12.990000,13.210000,12.960000,13.180000,11.723480,24670600
2003-12-30,13.180000,13.230000,13.050000,13.190000,11.732375,21820800
2003-12-31,13.170000,13.240000,13.050000,13.230000,11.767954,24268300
2004-01-02,13.250000,13.310000,13.110000,13.140000,11.687901,20730800
2004-01-05,13.280000,13.560000,13.260000,13.550000,12.052594,35329600
2004-01-06,13.520000,13.710000,13.400000,13.600000,12.097069,40106000
2004-01-07,13.670000,13.990000,13.590000,13.970000,12.426177,45151100
2004-01-08,13.990000,14.380000,13.750000,14.240000,12.666341,70741300
2004-01-09,14.070000,14.360000,14.000000,14.170000,12.604078,41121800
2004-01-12,14.280000,15.510000,14.240000,14.660000,13.039927,62729400
2004-01-13,14.440000,14.480000,14.040000,14.360000,12.773076,78363800
2004-01-14,14.480000,14.670000,14.390000,14.590000,12.977662,30545500
2004-01-15,14.440000,14.980000,14.440000,14.890000,13.244508,50439200
2004-01-16,14.990000,15.030000,14.670000,14.850000,13.208930,46809800
2004-01-20,14.910000,14.970000,14.560000,14.710000,13.084402,40751300
2004-01-21,14.630000,14.920000,14.510000,14.710000,13.084402,36834500
2004-01-22,14.790000,14.910000,14.420000,14.530000,12.924294,34476800
2004-01-23,14.550000,14.670000,14.350000,14.540000,12.933187,28790500
2004-01-26,14.460000,14.540000,14.280000,14.470000,12.870920,33787100
2004-01-27,14.420000,14.680000,14.180000,14.200000,12.630759,32503900
2004-01-28,14.310000,14.400000,13.860000,13.940000,12.399492,44593900
2004-01-29,14.050000,14.220000,13.730000,14.190000,12.621868,50196100
2004-01-30,14.110000,14.300000,13.780000,13.860000,12.328335,45136500
2004-02-02,13.760000,13.900000,13.510000,13.640000,12.132647,42162300
2004-02-03,13.570000,13.990000,13.520000,13.910000,12.372808,32484300
2004-02-04,13.190000,13.690000,13.120000,13.270000,11.803535,47107800
2004-02-05,13.440000,13.770000,13.320000,13.560000,12.061490,39729800
2004-02-06,13.580000,13.760000,13.360000,13.420000,11.936957,41298900
2004-02-09,13.540000,13.630000,13.250000,13.280000,11.812428,33219100
2004-02-10,13.270000,13.530000,13.260000,13.390000,11.910271,30386400
2004-02-11,13.530000,13.790000,13.330000,13.700000,12.186015,38713100
2004-02-12,13.620000,13.850000,13.510000,13.720000,12.203808,27981100
2004-02-13,13.780000,14.100000,13.660000,13.790000,12.266070,41834100
2004-02-17,13.910000,13.980000,13.730000,13.760000,12.239388,21836800
2004-02-18,13.880000,14.160000,13.710000,14.060000,12.506234,38796400
2004-02-19,14.180000,14.210000,13.770000,13.800000,12.274967,29936900
2004-02-20,13.960000,13.970000,13.540000,13.710000,12.194913,27880000
2004-02-23,13.680000,13.720000,13.220000,13.340000,11.865800,30737700
2004-02-24,13.280000,13.360000,13.040000,13.260000,11.794641,56492900
2004-02-25,13.290000,13.340000,13.080000,13.190000,11.732375,35990900
2004-02-26,13.100000,13.500000,12.860000,13.280000,11.812428,45428900
2004-02-27,13.300000,13.370000,12.860000,12.870000,11.447742,44508600
2004-03-01,13.110000,13.170000,12.880000,13.080000,11.634531,46943200
2004-03-02,13.130000,13.280000,12.950000,12.980000,11.545584,39962100
2004-03-03,12.910000,13.140000,12.890000,13.010000,11.572268,29869200
2004-03-04,12.920000,13.100000,12.890000,13.000000,11.563371,32745100
2004-03-05,12.870000,13.100000,12.710000,12.710000,11.305421,59897400
2004-03-08,12.860000,12.880000,12.320000,12.360000,10.994098,59836100
2004-03-09,12.350000,12.480000,12.130000,12.310000,10.949624,59151200
2004-03-10,12.400000,12.620000,12.310000,12.410000,11.038571,73298000
2004-03-11,12.340000,12.600000,12.170000,12.250000,10.896253,88238400
2004-03-12,12.490000,12.500000,11.950000,12.060000,10.727255,109858800
2004-03-15,12.030000,12.050000,11.580000,11.660000,10.371456,71864700
2004-03-16,11.790000,11.890000,11.370000,11.700000,10.407034,84172400
2004-03-17,11.850000,11.930000,11.680000,11.850000,10.540460,59616200
2004-03-18,11.800000,11.830000,11.560000,11.610000,10.326982,59118700
2004-03-19,11.600000,11.780000,11.490000,11.500000,10.229136,47572800
2004-03-22,11.380000,11.450000,11.150000,11.340000,10.086818,54723000
2004-03-23,11.450000,11.630000,11.300000,11.400000,10.140189,62015900
2004-03-24,11.480000,11.690000,11.300000,11.530000,10.255820,43124500
2004-03-25,11.650000,12.030000,11.630000,11.940000,10.620513,61981700
2004-03-26,11.930000,12.150000,11.900000,11.920000,10.602724,47907200
2004-03-29,12.040000,12.120000,11.960000,12.080000,10.745041,39093100
2004-03-30,11.970000,12.130000,11.840000,12.080000,10.745041,49915300
2004-03-31,12.100000,12.160000,11.950000,12.000000,10.673881,48584200
2004-04-01,11.990000,12.360000,11.960000,12.290000,10.931831,60501700
2004-04-02,12.620000,12.650000,12.400000,12.580000,11.189787,48908400
2004-04-05,12.600000,12.860000,12.550000,12.770000,11.358789,48809700
2004-04-06,12.650000,12.740000,12.420000,12.460000,11.083047,36671400
2004-04-07,12.430000,12.460000,12.220000,12.350000,10.985206,45873800
2004-04-08,12.540000,12.580000,12.300000,12.380000,11.011891,25128300
2004-04-12,12.340000,12.570000,12.320000,12.410000,11.038571,37987000
2004-04-13,12.430000,12.450000,12.230000,12.310000,10.949624,34207400
2004-04-14,12.220000,12.470000,12.210000,12.370000,11.002991,40484800
2004-04-15,12.420000,12.420000,11.980000,12.080000,10.745041,41139700
2004-04-16,12.170000,12.220000,11.910000,11.990000,10.664987,37456900
2004-04-19,12.050000,12.320000,11.970000,12.320000,10.958520,39837500
2004-04-20,12.290000,12.430000,11.990000,12.000000,10.673881,46891200
2004-04-21,11.990000,12.150000,11.870000,12.070000,10.736146,39061300
2004-04-22,11.980000,12.500000,11.950000,12.370000,11.002991,47915400
2004-04-23,12.470000,12.580000,12.350000,12.530000,11.145312,38928500
2004-04-26,12.480000,12.560000,12.200000,12.310000,10.949624,35321200
2004-04-27,12.270000,12.400000,12.100000,12.150000,10.807303,38910400
2004-04-28,12.080000,12.220000,11.770000,11.900000,10.584934,38196000
2004-04-29,11.870000,11.890000,11.340000,11.430000,10.166874,86524700
2004-04-30,11.500000,11.550000,11.220000,11.250000,10.006766,61729600
2004-05-03,11.360000,11.520000,11.200000,11.330000,10.077927,47395000
2004-05-04,11.260000,11.530000,11.170000,11.350000,10.095716,66183600
2004-05-05,11.380000,11.600000,11.350000,11.350000,10.095716,29772000
2004-05-06,11.260000,11.700000,11.250000,11.490000,10.220240,44245700
2004-05-07,11.470000,11.680000,11.400000,11.400000,10.140189,39423200
2004-05-10,11.260000,11.450000,11.260000,11.400000,10.140189,36486800
2004-05-11,11.510000,11.670000,11.430000,11.670000,10.380351,36158300
2004-05-12,11.550000,11.660000,11.350000,11.590000,10.309194,42703600
2004-05-13,11.520000,11.850000,11.500000,11.800000,10.495983,34109400
2004-05-14,11.740000,11.780000,11.460000,11.600000,10.318087,33566500
2004-05-17,11.400000,11.500000,11.300000,11.360000,10.104609,49025700
2004-05-18,11.430000,11.530000,11.370000,11.370000,10.113503,26005300
2004-05-19,11.480000,11.590000,11.290000,11.290000,10.042344,39327800
2004-05-20,11.380000,11.380000,11.150000,11.230000,9.988976,35553700
2004-05-21,11.320000,11.390000,11.180000,11.230000,9.988976,38074300
2004-05-24,11.320000,11.430000,11.280000,11.360000,10.104609,30700600
2004-05-25,11.310000,11.520000,11.180000,11.500000,10.229136,44651300
2004-05-26,11.450000,11.500000,11.280000,11.480000,10.211349,32837400
2004-05-27,11.490000,11.620000,11.370000,11.480000,10.211349,40369500
2004-05-28,11.420000,11.490000,11.320000,11.400000,10.140189,30497100
2004-06-01,11.240000,11.310000,11.050000,11.120000,9.891130,42016100
2004-06-02,11.220000,11.260000,11.080000,11.150000,9.917816,39112300
2004-06-03,11.160000,11.210000,10.850000,10.970000,9.757706,53652200
2004-06-04,11.090000,11.180000,11.010000,11.040000,9.819971,48278700
2004-06-07,11.180000,11.420000,11.130000,11.420000,10.157976,43849600
2004-06-08,11.420000,11.610000,11.340000,11.590000,10.309194,49357800
2004-06-09,11.590000,11.720000,11.500000,11.540000,10.264715,47534000
2004-06-10,11.570000,11.720000,11.530000,11.710000,10.415929,42342500
2004-06-14,11.620000,11.660000,11.450000,11.550000,10.273612,41450900
2004-06-15,11.630000,11.860000,11.610000,11.710000,10.415929,62721200
2004-06-16,11.360000,11.430000,11.230000,11.350000,10.095716,80914200
2004-06-17,11.270000,11.320000,11.120000,11.140000,9.908919,41264700
2004-06-18,11.100000,11.350000,11.050000,11.140000,9.908919,62933800
2004-06-21,11.130000,11.210000,11.110000,11.150000,9.917816,38332300
2004-06-22,11.110000,11.190000,11.050000,11.120000,9.891130,55112100
2004-06-23,11.090000,11.210000,11.080000,11.150000,9.917816,45101400
2004-06-24,11.160000,11.570000,11.140000,11.500000,10.229136,70678600
2004-06-25,11.560000,11.960000,11.510000,11.800000,10.495983,88673100
2004-06-28,11.780000,11.850000,11.600000,11.630000,10.344773,47118600
2004-06-29,11.620000,11.860000,11.580000,11.770000,10.469296,39040900
2004-06-30,11.760000,12.070000,11.640000,11.930000,10.611618,62400000
2004-07-01,11.850000,11.960000,11.610000,11.810000,10.504880,61520000
2004-07-02,11.750000,11.820000,11.620000,11.650000,10.362561,32076700
2004-07-06,11.550000,11.600000,11.140000,11.200000,9.962291,61782900
2004-07-07,11.150000,11.320000,11.130000,11.200000,9.962291,50583800
2004-07-08,11.140000,11.150000,10.860000,10.920000,9.713232,71465200
2004-07-09,11.030000,11.250000,10.980000,11.030000,9.811075,47046600
2004-07-12,11.070000,11.230000,11.010000,11.090000,9.864447,37216900
2004-07-13,11.140000,11.150000,11.000000,11.000000,9.784389,39466700
2004-07-14,10.950000,11.010000,10.680000,10.790000,9.597600,79172000
2004-07-15,10.970000,11.000000,10.690000,10.720000,9.535335,72403300
2004-07-16,10.840000,10.870000,10.210000,10.220000,9.090592,100621100
2004-07-19,10.380000,10.480000,10.290000,10.330000,9.188433,54154100
2004-07-20,10.380000,10.540000,10.270000,10.500000,9.339647,45273400
2004-07-21,10.550000,10.810000,10.330000,10.350000,9.206223,67054800
2004-07-22,10.360000,10.460000,10.120000,10.360000,9.215117,34995200
2004-07-23,10.280000,10.310000,10.030000,10.100000,8.983853,36626900
2004-07-26,10.120000,10.270000,10.030000,10.080000,8.966062,42494100
2004-07-27,10.110000,10.490000,10.100000,10.380000,9.232909,44267700
2004-07-28,10.310000,10.370000,10.050000,10.250000,9.117275,45714900
2004-07-29,10.340000,10.500000,10.270000,10.380000,9.232909,41100200
2004-07-30,10.390000,10.520000,10.350000,10.510000,9.348543,31709700
2004-08-02,10.370000,10.670000,10.330000,10.670000,9.490860,40242900
2004-08-03,10.570000,10.680000,10.520000,10.560000,9.393018,44096400
2004-08-04,10.560000,10.970000,10.520000,10.840000,9.642075,51684300
2004-08-05,10.830000,10.850000,10.540000,10.640000,9.464179,46577100
2004-08-06,10.430000,10.540000,10.190000,10.190000,9.063905,38588500
2004-08-09,10.300000,10.470000,10.200000,10.370000,9.224017,31533900
2004-08-10,10.450000,10.610000,10.310000,10.600000,9.428595,31955300
2004-08-11,10.390000,10.420000,10.090000,10.190000,9.063905,43650500
2004-08-12,10.090000,10.200000,9.780000,9.900000,8.805953,56499100
2004-08-13,9.950000,10.280000,9.930000,10.250000,9.117275,46512000
2004-08-16,10.250000,10.420000,10.200000,10.250000,9.117275,32335500
2004-08-17,10.290000,10.430000,10.120000,10.280000,9.143956,40834000
2004-08-18,10.140000,10.530000,10.120000,10.510000,9.348543,40961900
2004-08-19,10.440000,10.490000,10.340000,10.420000,9.268490,32090200
2004-08-20,10.390000,10.430000,10.300000,10.310000,9.170645,24015500
2004-08-23,10.330000,10.390000,10.220000,10.300000,9.161748,27130700
2004-08-24,10.330000,10.360000,10.150000,10.330000,9.188433,38644600
2004-08-25,10.350000,10.440000,10.260000,10.400000,9.250698,29812200
2004-08-26,10.370000,10.420000,10.210000,10.230000,9.099482,27281500
2004-08-27,10.240000,10.340000,10.230000,10.290000,9.152852,20328400
2004-08-30,10.200000,10.240000,10.080000,10.110000,8.992745,33704600
2004-08-31,10.110000,10.140000,9.820000,9.970000,8.868216,37907800
2004-09-01,9.960000,10.110000,9.940000,10.050000,8.939380,28920000
2004-09-02,10.070000,10.350000,9.970000,10.290000,9.152852,40370000
2004-09-03,10.200000,10.290000,9.970000,10.030000,8.921587,33742000
2004-09-07,10.170000,10.220000,9.980000,10.080000,8.966062,31732100
2004-09-08,9.940000,10.030000,9.860000,9.860000,8.770370,47062500
2004-09-09,9.980000,10.020000,9.900000,9.930000,8.832635,44902800
2004-09-10,10.120000,10.500000,10.040000,10.460000,9.304066,66209200
2004-09-13,10.550000,10.700000,10.510000,10.620000,9.446383,52492300
2004-09-14,10.640000,10.690000,10.460000,10.550000,9.384121,72170200
2004-09-15,11.090000,11.410000,11.030000,11.330000,10.077927,135089500
2004-09-16,11.250000,11.400000,11.170000,11.230000,9.988976,57893500
2004-09-17,11.250000,11.580000,11.230000,11.510000,10.238035,59258000
2004-09-20,11.350000,11.550000,11.310000,11.400000,10.140189,40527500
2004-09-21,11.670000,11.680000,11.340000,11.410000,10.149080,44463000
2004-09-22,11.280000,11.390000,11.100000,11.140000,9.908919,55341300
2004-09-23,11.160000,11.240000,11.020000,11.050000,9.828863,40709000
2004-09-24,11.120000,11.210000,11.010000,11.040000,9.819971,30796100
2004-09-27,10.980000,11.280000,10.930000,11.190000,9.953397,40616600
2004-09-28,11.240000,11.360000,11.090000,11.360000,10.104609,45610200
2004-09-29,11.340000,11.520000,11.280000,11.430000,10.166874,41868100
2004-09-30,11.420000,11.450000,11.240000,11.280000,10.033448,49604900
2004-10-01,11.650000,11.950000,11.510000,11.900000,10.584934,69604100
2004-10-04,12.100000,12.180000,11.830000,11.870000,10.558247,66003300
2004-10-05,11.840000,12.210000,11.830000,12.210000,10.860674,46999300
2004-10-06,12.140000,12.260000,12.060000,12.240000,10.887359,44461400
2004-10-07,12.210000,12.420000,12.190000,12.290000,10.931831,50909000
2004-10-08,12.170000,12.470000,12.020000,12.170000,10.825096,45517700
2004-10-11,12.170000,12.270000,12.080000,12.200000,10.851779,25741700
2004-10-12,12.030000,12.230000,11.980000,12.150000,10.807303,35379900
2004-10-13,12.150000,12.170000,11.930000,11.990000,10.664987,40599700
2004-10-14,11.930000,12.110000,11.920000,12.000000,10.673881,28269600
2004-10-15,12.040000,12.250000,12.000000,12.240000,10.887359,41393100
2004-10-18,12.150000,12.460000,12.100000,12.420000,11.047471,33181100
2004-10-19,12.450000,12.540000,12.310000,12.310000,10.949624,44047000
2004-10-20,12.240000,12.420000,12.180000,12.420000,11.047471,35207600
2004-10-21,12.440000,12.470000,12.280000,12.440000,11.065258,40699800
2004-10-22,12.430000,12.480000,12.190000,12.310000,10.949624,33118300
2004-10-25,12.260000,12.330000,12.050000,12.130000,10.789515,33386800
2004-10-26,12.160000,12.300000,12.110000,12.270000,10.914046,33466400
2004-10-27,12.160000,12.720000,12.150000,12.590000,11.198681,43334500
2004-10-28,12.480000,12.770000,12.210000,12.740000,11.332106,31068300
2004-10-29,12.810000,12.810000,12.550000,12.660000,11.260947,34619900
2004-11-01,12.720000,12.870000,12.550000,12.750000,11.341000,27994800
2004-11-02,12.760000,13.000000,12.680000,12.800000,11.385474,40570200
2004-11-03,12.950000,13.000000,12.720000,12.830000,11.412163,33987500
2004-11-04,12.850000,13.140000,12.830000,13.100000,11.652321,37692700
2004-11-05,13.120000,13.280000,13.080000,13.170000,11.714587,34605000
2004-11-08,13.070000,13.200000,13.010000,13.110000,11.661217,21120600
2004-11-09,13.090000,13.380000,13.070000,13.350000,11.874691,32825300
2004-11-10,13.340000,13.500000,13.290000,13.380000,11.901380,40553300
2004-11-11,13.230000,13.280000,12.780000,13.140000,11.687901,48867000
2004-11-12,13.010000,13.400000,12.970000,13.390000,11.910271,41742700
2004-11-15,13.300000,13.310000,12.970000,13.010000,11.572268,35834100
2004-11-16,12.970000,13.040000,12.870000,12.920000,11.492210,29547200
2004-11-17,12.990000,13.210000,12.950000,13.130000,11.679008,28451100
2004-11-18,13.110000,13.150000,12.950000,12.970000,11.536691,25803100
2004-11-19,13.070000,13.160000,12.690000,12.750000,11.341000,30991800
2004-11-22,12.670000,12.750000,12.510000,12.680000,11.278737,41035900
2004-11-23,12.600000,12.810000,12.510000,12.700000,11.296529,27711900
2004-11-24,12.740000,12.860000,12.710000,12.790000,11.376582,19122000
2004-11-26,12.780000,12.790000,12.640000,12.660000,11.260947,9101000
2004-11-29,12.630000,12.790000,12.580000,12.680000,11.278737,32675200
2004-11-30,12.640000,12.810000,12.620000,12.740000,11.332106,32502200
2004-12-01,12.750000,13.090000,12.660000,13.090000,11.643428,46113400
2004-12-02,12.900000,13.070000,12.820000,12.950000,11.518897,27804600
2004-12-03,12.840000,13.110000,12.740000,13.030000,11.590058,69334000
2004-12-06,12.980000,13.510000,12.960000,13.340000,11.865800,55786100
2004-12-07,13.360000,13.570000,13.020000,13.060000,11.616741,41045600
2004-12-08,13.140000,13.420000,13.090000,13.210000,11.750168,39890300
2004-12-09,13.060000,13.400000,13.010000,13.290000,11.821325,35971400
2004-12-10,13.160000,13.450000,13.140000,13.280000,11.812428,32027500
2004-12-13,14.210000,14.870000,13.750000,14.630000,13.013240,181316700
2004-12-14,14.460000,14.610000,14.180000,14.230000,12.657444,78544300
2004-12-15,14.140000,14.180000,13.920000,14.090000,12.532915,73641400
2004-12-16,14.000000,14.170000,13.980000,14.090000,12.532915,53533600
2004-12-17,14.000000,14.170000,13.920000,13.980000,12.435071,62424100
2004-12-20,14.000000,14.100000,13.550000,13.580000,12.079280,53505200
2004-12-21,13.530000,13.900000,13.530000,13.790000,12.266070,50640900
2004-12-22,13.800000,13.900000,13.650000,13.700000,12.186015,35878500
2004-12-23,13.640000,13.780000,13.600000,13.640000,12.132647,20796300
2004-12-27,13.720000,13.780000,13.610000,13.650000,12.141539,28715500
2004-12-28,13.600000,13.890000,13.580000,13.840000,12.310545,34572700
2004-12-29,13.730000,13.870000,13.660000,13.720000,12.203808,42544900
2004-12-30,13.680000,13.940000,13.660000,13.880000,12.346124,37261100
2004-12-31,13.860000,14.030000,13.680000,13.720000,12.203808,43515400
2005-01-03,13.880000,13.890000,13.390000,13.410000,11.928063,60319300
2005-01-04,13.460000,13.480000,12.920000,13.060000,11.616741,80906400
2005-01-05,13.030000,13.260000,13.010000,13.100000,11.652321,42548400
2005-01-06,13.130000,13.350000,13.080000,13.220000,11.759061,55580100
2005-01-07,13.340000,13.450000,13.150000,13.330000,11.856905,45685800
2005-01-10,13.320000,13.450000,13.170000,13.190000,11.732375,47571800
2005-01-11,13.090000,13.390000,13.060000,13.200000,11.741268,63973000
2005-01-12,13.260000,13.490000,13.240000,13.480000,11.990325,53420800
2005-01-13,13.380000,13.670000,13.340000,13.480000,11.990325,56987700
2005-01-14,13.560000,13.760000,13.490000,13.630000,12.123753,42509100
2005-01-18,13.590000,13.900000,13.520000,13.780000,12.257174,60758900
2005-01-19,13.660000,13.800000,13.450000,13.470000,11.981432,51115100
2005-01-20,13.440000,13.680000,13.280000,13.280000,11.812428,45253200
2005-01-21,13.350000,13.490000,13.280000,13.310000,11.839114,40716100
2005-01-24,13.360000,13.500000,13.210000,13.240000,11.776849,37540700
2005-01-25,13.490000,13.740000,13.460000,13.590000,12.088172,48682500
2005-01-26,13.960000,14.010000,13.610000,13.620000,12.114855,78543500
2005-01-27,13.670000,13.980000,13.500000,13.970000,12.426177,61917900
2005-01-28,13.910000,13.950000,13.550000,13.680000,12.168226,47465300
2005-01-31,13.770000,13.890000,13.630000,13.770000,12.248281,38555200
2005-02-01,13.730000,13.760000,13.580000,13.650000,12.141539,43567600
2005-02-02,13.670000,13.700000,13.450000,13.560000,12.061490,42057200
2005-02-03,13.470000,13.550000,13.280000,13.340000,11.865800,39310700
2005-02-04,13.310000,13.700000,13.300000,13.660000,12.150435,35832700
2005-02-07,13.570000,13.610000,13.410000,13.550000,12.052594,43465100
2005-02-08,13.550000,13.600000,13.460000,13.470000,11.981432,28869900
2005-02-09,13.410000,13.480000,13.150000,13.170000,11.714587,42305100
2005-02-10,13.210000,13.240000,13.020000,13.140000,11.687901,41274700
2005-02-11,13.110000,13.390000,13.010000,13.350000,11.874691,50626000
2005-02-14,13.260000,13.380000,13.230000,13.310000,11.839114,34744600
2005-02-15,13.340000,13.460000,13.260000,13.290000,11.821325,43226900
2005-02-16,13.240000,13.460000,13.230000,13.330000,11.856905,28360700
2005-02-17,13.300000,13.380000,12.890000,12.960000,11.527794,44724400
2005-02-18,12.970000,12.990000,12.840000,12.940000,11.510002,34769400
2005-02-22,12.760000,12.870000,12.640000,12.660000,11.260947,50815200
2005-02-23,12.730000,12.990000,12.590000,12.950000,11.518897,40930600
2005-02-24,12.840000,13.120000,12.830000,13.010000,11.572268,39114400
2005-02-25,13.040000,13.140000,12.960000,13.130000,11.679008,29254000
2005-02-28,13.080000,13.250000,12.910000,12.950000,11.518897,37646400
2005-03-01,13.030000,13.240000,12.980000,13.150000,11.696795,47027400
2005-03-02,13.030000,13.200000,12.820000,13.050000,11.607845,49438200
2005-03-03,13.080000,13.170000,12.960000,13.090000,11.643428,35449800
2005-03-04,13.220000,13.460000,13.180000,13.280000,11.812428,55955700
2005-03-07,13.370000,13.760000,13.340000,13.600000,12.097069,54894700
2005-03-08,13.600000,13.800000,13.590000,13.620000,12.114855,38824300
2005-03-09,13.440000,13.640000,13.310000,13.350000,11.874691,38544700
2005-03-10,13.360000,13.420000,13.220000,13.260000,11.794641,28878100
2005-03-11,13.330000,13.380000,13.000000,13.090000,11.643428,36704200
2005-03-14,13.100000,13.250000,13.010000,13.150000,11.696795,30111500
2005-03-15,13.270000,13.290000,13.110000,13.150000,11.696795,34154200
2005-03-16,13.040000,13.210000,12.900000,13.020000,11.581161,44721200
2005-03-17,13.010000,13.340000,12.990000,13.160000,11.705689,43835700
2005-03-18,12.940000,13.010000,12.510000,12.540000,11.154209,153018100
2005-03-21,12.600000,12.690000,12.420000,12.650000,11.252048,57215900
2005-03-22,12.680000,12.740000,12.390000,12.490000,11.109732,50698700
2005-03-23,12.320000,12.590000,12.240000,12.510000,11.127522,69699700
2005-03-24,12.530000,12.550000,12.360000,12.400000,11.029679,34531200
2005-03-28,12.400000,12.580000,12.260000,12.430000,11.056364,35841500
2005-03-29,12.390000,12.520000,12.230000,12.280000,10.922938,35637300
2005-03-30,12.340000,12.630000,12.320000,12.480000,11.100841,35214200
2005-03-31,12.470000,12.670000,12.440000,12.480000,11.100841,32835900
2005-04-01,12.560000,12.720000,12.520000,12.530000,11.145312,38333200
2005-04-04,12.570000,12.730000,12.540000,12.690000,11.287631,48303100
2005-04-05,12.650000,12.700000,12.380000,12.450000,11.074152,42466000
2005-04-06,12.410000,12.560000,12.320000,12.380000,11.011891,30283800
2005-04-07,12.370000,12.480000,12.280000,12.450000,11.074152,40822100
2005-04-08,12.420000,12.530000,12.330000,12.360000,10.994098,38601300
2005-04-11,12.370000,12.420000,12.310000,12.400000,11.029679,24216700
2005-04-12,12.350000,12.530000,12.340000,12.490000,11.109732,41508400
2005-04-13,12.400000,12.490000,12.170000,12.260000,10.905152,34983000
2005-04-14,12.290000,12.360000,12.060000,12.090000,10.753934,49235100
2005-04-15,11.940000,11.970000,11.660000,11.700000,10.407034,62108300
2005-04-18,11.710000,11.970000,11.670000,11.800000,10.495983,42602500
2005-04-19,11.900000,11.960000,11.690000,11.880000,10.567142,48096200
2005-04-20,11.880000,12.030000,11.730000,11.780000,10.478193,55428000
2005-04-21,11.930000,12.200000,11.910000,12.170000,10.825096,51078800
2005-04-22,12.120000,12.170000,11.830000,11.920000,10.602724,43471400
2005-04-25,11.930000,12.110000,11.920000,12.070000,10.736146,32411300
2005-04-26,12.000000,12.300000,11.850000,11.880000,10.567142,30723400
2005-04-27,11.830000,12.000000,11.810000,11.900000,10.584934,26514600
2005-04-28,11.860000,11.900000,11.550000,11.620000,10.335875,39434000
2005-04-29,11.670000,11.680000,11.250000,11.560000,10.282507,41386100
2005-05-02,11.570000,11.680000,11.510000,11.600000,10.318087,27176700
2005-05-03,11.530000,11.730000,11.510000,11.590000,10.309194,39877600
2005-05-04,11.650000,11.870000,11.630000,11.720000,10.424827,37634100
2005-05-05,11.710000,11.770000,11.560000,11.660000,10.371456,44792300
2005-05-06,11.720000,11.800000,11.670000,11.760000,10.460404,27731800
2005-05-09,11.740000,11.850000,11.690000,11.750000,10.451510,28091400
2005-05-10,11.580000,11.720000,11.490000,11.520000,10.246928,36598000
2005-05-11,11.580000,11.760000,11.480000,11.700000,10.407034,32542900
2005-05-12,11.660000,12.020000,11.640000,11.890000,10.576039,62649000
2005-05-13,11.920000,12.390000,11.910000,12.360000,10.994098,69496400
2005-05-16,12.260000,12.450000,12.250000,12.350000,10.985206,41887000
2005-05-17,12.260000,12.280000,11.980000,12.210000,10.860674,61633100
2005-05-18,12.210000,12.430000,12.130000,12.330000,10.967413,44940000
2005-05-19,12.360000,12.640000,12.350000,12.430000,11.056364,40463700
2005-05-20,12.450000,12.640000,12.400000,12.550000,11.163103,25230900
2005-05-23,12.620000,12.770000,12.600000,12.700000,11.296529,47390500
2005-05-24,12.660000,12.860000,12.640000,12.800000,11.385474,43792600
2005-05-25,12.720000,12.790000,12.610000,12.750000,11.341000,32280900
2005-05-26,12.820000,12.980000,12.770000,12.920000,11.492210,31827400
2005-05-27,12.860000,12.900000,12.790000,12.850000,11.429949,21594400
2005-05-31,12.770000,12.870000,12.690000,12.800000,11.385474,28423900
2005-06-01,12.790000,12.970000,12.770000,12.890000,11.465528,33329000
2005-06-02,12.880000,12.990000,12.840000,12.980000,11.545584,33375700
2005-06-03,12.950000,12.960000,12.550000,12.590000,11.198681,49038900
2005-06-06,12.570000,12.720000,12.550000,12.650000,11.252048,29298000
2005-06-07,12.640000,12.800000,12.560000,12.590000,11.198681,34230100
2005-06-08,12.630000,12.750000,12.600000,12.670000,11.269840,35934900
2005-06-09,12.630000,12.730000,12.580000,12.670000,11.269840,30027400
2005-06-10,12.650000,12.850000,12.550000,12.640000,11.243156,28917900
2005-06-13,12.580000,12.790000,12.560000,12.600000,11.207576,29601000
2005-06-14,12.570000,12.640000,12.420000,12.480000,11.100841,36616900
2005-06-15,12.580000,12.700000,12.300000,12.620000,11.225367,42236600
2005-06-16,12.560000,12.630000,12.350000,12.460000,11.083047,40706600
2005-06-17,12.600000,12.640000,12.280000,12.340000,10.976313,58512100
2005-06-20,12.300000,12.550000,12.280000,12.410000,11.038571,34560100
2005-06-21,12.400000,12.590000,12.370000,12.550000,11.163103,25868700
2005-06-22,12.600000,12.700000,12.500000,12.630000,11.234262,31376000
2005-06-23,12.630000,12.840000,12.480000,12.510000,11.127522,40990400
2005-06-24,12.590000,12.660000,12.410000,12.500000,11.118629,34563900
2005-06-27,12.500000,12.630000,12.500000,12.540000,11.154209,29560700
2005-06-28,12.590000,12.920000,12.570000,12.830000,11.412163,49229600
2005-06-29,13.470000,13.790000,13.230000,13.570000,12.070382,155754700
2005-06-30,13.560000,13.630000,13.160000,13.200000,11.741268,73638100
2005-07-01,13.390000,13.400000,13.210000,13.290000,11.821325,40126400
2005-07-05,13.250000,13.310000,12.990000,13.270000,11.803535,43866000
2005-07-06,13.230000,13.660000,13.210000,13.320000,11.848005,60319100
2005-07-07,13.230000,13.350000,13.190000,13.290000,11.821325,50565700
2005-07-08,13.280000,13.570000,13.260000,13.560000,12.061490,36333200
2005-07-11,13.570000,13.740000,13.540000,13.710000,12.194913,37520900
2005-07-12,13.660000,13.890000,13.620000,13.800000,12.274967,30736600
2005-07-13,13.760000,14.000000,13.710000,13.960000,12.417285,34444700
2005-07-14,13.980000,14.100000,13.860000,14.050000,12.497337,45097400
2005-07-15,14.020000,14.110000,13.980000,14.040000,12.488443,43579300
2005-07-18,13.960000,13.990000,13.900000,13.900000,12.363915,41776800
2005-07-19,13.980000,14.510000,13.750000,13.940000,12.399492,36381100
2005-07-20,13.790000,14.080000,13.780000,14.030000,12.479549,33567000
2005-07-21,13.950000,14.050000,13.540000,13.720000,12.203808,41179300
2005-07-22,13.670000,13.840000,13.570000,13.800000,12.274967,27661200
2005-07-25,13.800000,13.900000,13.710000,13.790000,12.266070,18455700
2005-07-26,13.800000,13.960000,13.760000,13.790000,12.266070,24798000
2005-07-27,13.890000,13.950000,13.700000,13.840000,12.310545,22664400
2005-07-28,13.860000,13.900000,13.710000,13.850000,12.319440,18985900
2005-07-29,13.830000,13.860000,13.570000,13.570000,12.070382,27162200
2005-08-01,13.670000,13.690000,13.450000,13.520000,12.025908,25341800
2005-08-02,13.520000,13.690000,13.440000,13.580000,12.079280,28944700
2005-08-03,13.500000,13.520000,13.290000,13.380000,11.901380,31846100
2005-08-04,13.250000,13.380000,13.210000,13.300000,11.830220,30788400
2005-08-05,13.270000,13.360000,13.140000,13.280000,11.812428,25542900
2005-08-08,13.340000,13.420000,13.250000,13.290000,11.821325,24940300
2005-08-09,13.330000,13.440000,13.300000,13.360000,11.883589,21887400
2005-08-10,13.380000,13.570000,13.300000,13.350000,11.874691,29897300
2005-08-11,13.330000,13.470000,13.260000,13.370000,11.892487,25785900
2005-08-12,13.320000,13.360000,13.200000,13.300000,11.830220,31991200
2005-08-15,13.260000,13.380000,13.220000,13.290000,11.821325,37981700
2005-08-16,13.260000,13.350000,13.250000,13.300000,11.830220,32583500
2005-08-17,13.280000,13.330000,13.140000,13.240000,11.776849,29401000
2005-08-18,13.200000,13.270000,13.040000,13.090000,11.643428,28469400
2005-08-19,13.140000,13.220000,13.060000,13.070000,11.625636,22327200
2005-08-22,13.060000,13.200000,12.990000,13.090000,11.643428,22938400
2005-08-23,13.060000,13.180000,12.960000,13.100000,11.652321,26582100
2005-08-24,13.070000,13.120000,12.870000,12.950000,11.518897,34968300
2005-08-25,12.970000,13.060000,12.920000,12.970000,11.536691,23002700
2005-08-26,12.950000,13.000000,12.820000,12.900000,11.474422,21404700
2005-08-29,12.840000,13.170000,12.830000,13.080000,11.634531,24065700
2005-08-30,13.010000,13.070000,12.840000,13.030000,11.590058,24651900
2005-08-31,13.000000,13.030000,12.820000,12.990000,11.554479,41226700
2005-09-01,12.940000,13.400000,12.920000,13.310000,11.839114,48010000
2005-09-02,13.360000,13.560000,13.350000,13.390000,11.910271,30062900
2005-09-06,13.430000,13.620000,13.390000,13.560000,12.061490,21904000
2005-09-07,13.500000,13.580000,13.330000,13.410000,11.928063,21709400
2005-09-08,13.490000,13.530000,13.260000,13.370000,11.892487,21637400
2005-09-09,13.460000,13.480000,13.000000,13.280000,11.812428,26508800
2005-09-12,13.490000,13.500000,13.280000,13.490000,11.999223,63897300
2005-09-13,13.480000,14.000000,13.460000,13.640000,12.132647,52205500
2005-09-14,13.680000,13.750000,13.440000,13.440000,11.954747,42778400
2005-09-15,13.510000,13.530000,13.270000,13.370000,11.892487,35539600
2005-09-16,13.430000,13.470000,13.120000,13.250000,11.785744,139633800
2005-09-19,13.280000,13.390000,13.140000,13.290000,11.821325,34865300
2005-09-20,13.320000,13.570000,13.270000,13.400000,11.919167,50218900
2005-09-21,13.420000,13.470000,13.170000,13.290000,11.821325,41807500
2005-09-22,13.320000,13.620000,13.210000,13.520000,12.025908,50974700
2005-09-23,12.540000,12.600000,12.260000,12.450000,11.074152,171863900
2005-09-26,12.530000,12.550000,12.320000,12.400000,11.029679,59122300
2005-09-27,12.430000,12.460000,12.290000,12.330000,10.967413,37175600
2005-09-28,12.330000,12.340000,12.180000,12.190000,10.842883,44322900
2005-09-29,12.190000,12.350000,12.000000,12.320000,10.958520,52676000
2005-09-30,12.300000,12.550000,12.250000,12.400000,11.029679,47203900
2005-10-03,12.420000,12.570000,12.370000,12.380000,11.011891,29586900
2005-10-04,12.380000,12.450000,12.140000,12.240000,10.887359,41009900
2005-10-05,12.220000,12.250000,12.030000,12.170000,10.825096,34813500
2005-10-06,12.190000,12.280000,11.900000,12.030000,10.700568,45171900
2005-10-07,12.070000,12.100000,11.850000,11.980000,10.656094,39090400
2005-10-10,11.970000,12.070000,11.850000,12.010000,10.682778,29861900
2005-10-11,12.010000,12.210000,11.990000,12.080000,10.745041,45667300
2005-10-12,12.060000,12.250000,12.000000,12.000000,10.673881,38115600
2005-10-13,11.990000,12.220000,11.970000,12.080000,10.745041,27465200
2005-10-14,12.140000,12.350000,12.060000,12.310000,10.949624,32795600
2005-10-17,12.280000,12.590000,12.210000,12.380000,11.011891,39140000
2005-10-18,12.330000,12.470000,12.320000,12.370000,11.002991,25834800
2005-10-19,12.320000,12.590000,11.960000,12.190000,10.842883,58423300
2005-10-20,12.290000,12.410000,12.110000,12.140000,10.798413,47209000
2005-10-21,12.210000,12.380000,12.180000,12.260000,10.905152,35759000
2005-10-24,12.380000,12.850000,12.310000,12.820000,11.403267,57706100
2005-10-25,12.730000,13.050000,12.700000,12.970000,11.536691,51784400
2005-10-26,12.850000,12.980000,12.570000,12.660000,11.260947,43585600
2005-10-27,12.600000,12.730000,12.440000,12.450000,11.074152,29631200
2005-10-28,12.560000,12.770000,12.480000,12.710000,11.305421,33849500
2005-10-31,12.650000,12.780000,12.570000,12.680000,11.278737,41947800
2005-11-01,12.580000,12.860000,12.580000,12.730000,11.323209,24436100
2005-11-02,12.580000,12.660000,12.300000,12.480000,11.100841,50044000
2005-11-03,12.400000,12.410000,11.750000,12.200000,10.851779,111121100
2005-11-04,12.180000,12.640000,12.170000,12.610000,11.216468,44196600
2005-11-07,12.590000,12.640000,12.450000,12.610000,11.216468,29100600
2005-11-08,12.550000,12.650000,12.490000,12.620000,11.225367,25869100
2005-11-09,12.560000,12.620000,12.480000,12.510000,11.127522,23907100
2005-11-10,12.490000,12.710000,12.380000,12.700000,11.296529,31650400
2005-11-11,12.700000,13.030000,12.650000,12.810000,11.394370,30479200
2005-11-14,12.780000,12.940000,12.750000,12.820000,11.403267,23442500
2005-11-15,12.730000,12.800000,12.600000,12.670000,11.269840,27329000
2005-11-16,12.620000,12.630000,12.410000,12.490000,11.109732,31078200
2005-11-17,12.450000,12.630000,12.380000,12.610000,11.216468,42275000
2005-11-18,12.800000,12.820000,12.570000,12.620000,11.225367,33066200
2005-11-21,12.530000,12.650000,12.340000,12.440000,11.065258,41774600
2005-11-22,12.330000,12.490000,12.310000,12.390000,11.020787,46235900
2005-11-23,12.350000,12.670000,12.340000,12.640000,11.243156,34181400
2005-11-25,12.670000,12.770000,12.600000,12.610000,11.216468,7851700
2005-11-28,12.590000,12.600000,12.470000,12.540000,11.154209,23031900
2005-11-29,12.580000,12.800000,12.570000,12.730000,11.323209,28170600
2005-11-30,12.710000,12.810000,12.560000,12.600000,11.207576,34494400
2005-12-01,12.680000,12.920000,12.670000,12.860000,11.438843,30461000
2005-12-02,12.940000,12.950000,12.730000,12.760000,11.349896,28696700
2005-12-05,12.720000,12.740000,12.420000,12.510000,11.127522,44188500
2005-12-06,12.540000,12.630000,12.420000,12.520000,11.136417,31834600
2005-12-07,12.520000,12.580000,12.360000,12.510000,11.127522,40344700
2005-12-08,12.500000,12.520000,12.230000,12.440000,11.065258,74267000
2005-12-09,12.430000,12.580000,12.430000,12.500000,11.118629,44904200
2005-12-12,12.510000,12.860000,12.500000,12.840000,11.421054,47509200
2005-12-13,12.700000,12.860000,12.600000,12.830000,11.412163,40282800
2005-12-14,12.820000,12.900000,12.680000,12.810000,11.394370,36832500
2005-12-15,12.710000,12.850000,12.640000,12.830000,11.412163,39606200
2005-12-16,12.540000,12.730000,11.990000,12.690000,11.287631,203707200
2005-12-19,12.550000,12.620000,12.280000,12.320000,10.958520,88450900
2005-12-20,12.390000,12.420000,12.250000,12.280000,10.922938,88569800
2005-12-21,12.320000,12.320000,12.140000,12.180000,10.833991,42154200
2005-12-22,12.160000,12.420000,12.150000,12.320000,10.958520,64662200
2005-12-23,12.380000,12.510000,12.310000,12.340000,10.976313,28028200
2005-12-27,12.330000,12.410000,12.240000,12.350000,10.985206,20909100
2005-12-28,12.350000,12.440000,12.270000,12.280000,10.922938,21423600
2005-12-29,12.270000,12.360000,12.230000,12.290000,10.931831,21138100
2005-12-30,12.210000,12.400000,12.160000,12.210000,10.860674,22598000


================================================
FILE: datas/orcl-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
2014-01-02,37.779999,38.029999,37.549999,37.840000,35.166069,18162100
2014-01-03,37.650002,37.860001,37.560001,37.619999,35.072853,11693900
2014-01-06,37.639999,37.799999,37.419998,37.470001,34.932995,15329400
2014-01-07,37.660000,37.930000,37.500000,37.849998,35.287270,16792200
2014-01-08,37.790001,37.910000,37.560001,37.720001,35.166077,16111600
2014-01-09,37.849998,37.849998,37.459999,37.650002,35.100822,13623500
2014-01-10,37.750000,38.139999,37.590000,38.110001,35.529667,15402900
2014-01-13,37.950001,38.200001,37.700001,37.750000,35.194050,20848300
2014-01-14,37.779999,38.250000,37.709999,38.209999,35.622894,13486400
2014-01-15,38.200001,38.570000,38.119999,38.410000,35.809361,17010900
2014-01-16,38.389999,38.770000,38.169998,38.290001,35.697491,13463000
2014-01-17,38.119999,38.470001,38.029999,38.209999,35.622894,14051100
2014-01-21,38.520000,38.520000,37.799999,38.110001,35.529667,13540000
2014-01-22,38.029999,38.279999,37.950001,37.980000,35.408474,14006300
2014-01-23,38.169998,38.259998,37.930000,38.150002,35.566963,14174200
2014-01-24,37.919998,37.959999,37.110001,37.110001,34.597382,26815600
2014-01-27,37.259998,37.369999,36.490002,36.490002,34.019360,19073800
2014-01-28,36.599998,37.130001,36.580002,37.099998,34.588047,13899900
2014-01-29,37.180000,37.250000,36.709999,36.970001,34.466854,16553600
2014-01-30,37.189999,37.560001,37.080002,37.400002,34.867741,12975500
2014-01-31,37.029999,37.200001,36.680000,36.900002,34.401588,17039700
2014-02-03,37.090000,37.090000,35.820000,35.840000,33.413364,21272600
2014-02-04,35.650002,36.020000,35.439999,35.959999,33.525238,16228000
2014-02-05,35.520000,36.250000,35.470001,35.950001,33.515923,11458400
2014-02-06,36.119999,36.830002,36.110001,36.720001,34.233772,14762200
2014-02-07,36.880001,37.230000,36.709999,37.189999,34.671955,13114700
2014-02-10,37.240002,37.439999,37.070000,37.299999,34.774513,10976900
2014-02-11,37.500000,37.900002,37.389999,37.840000,35.277946,12066100
2014-02-12,37.799999,38.250000,37.660000,38.070000,35.492378,12343200
2014-02-13,37.840000,38.490002,37.779999,38.419998,35.818676,11683200
2014-02-14,38.330002,38.330002,37.919998,37.980000,35.408474,15641400
2014-02-18,38.060001,38.119999,37.730000,37.970001,35.399147,10560300
2014-02-19,37.830002,38.299999,37.799999,37.869999,35.305916,12491400
2014-02-20,37.840000,38.349998,37.700001,38.270000,35.678833,11786000
2014-02-21,38.330002,38.490002,38.080002,38.099998,35.520336,13243600
2014-02-24,38.160000,38.459999,38.040001,38.139999,35.557640,10388100
2014-02-25,38.110001,38.430000,37.889999,38.250000,35.660191,11766400
2014-02-26,38.419998,38.830002,38.349998,38.500000,35.893257,11482900
2014-02-27,38.500000,39.099998,38.360001,38.950001,36.312805,14055700
2014-02-28,38.950001,39.369999,38.650002,39.110001,36.461967,19257800
2014-03-03,38.720001,38.990002,38.380001,38.509998,35.902576,13293700
2014-03-04,39.139999,39.500000,39.060001,39.410000,36.741653,13682100
2014-03-05,39.410000,39.700001,39.299999,39.500000,36.825558,11929200
2014-03-06,39.680000,39.849998,39.419998,39.459999,36.788265,13081900
2014-03-07,39.570000,39.590000,38.599998,38.830002,36.200920,13821500
2014-03-10,38.820000,38.950001,38.650002,38.860001,36.228897,8670300
2014-03-11,39.000000,39.020000,38.619999,38.900002,36.266186,12841500
2014-03-12,38.820000,38.820000,38.279999,38.520000,35.911907,13226200
2014-03-13,38.619999,38.660000,37.520000,37.650002,35.100822,15361200
2014-03-14,37.689999,38.000000,37.500000,37.599998,35.054203,14308300
2014-03-17,37.799999,38.480000,37.799999,38.220001,35.632221,14981300
2014-03-18,38.369999,38.939999,38.160000,38.840000,36.210239,29707200
2014-03-19,37.799999,38.959999,37.400002,38.549999,35.939880,45154900
2014-03-20,38.500000,38.689999,38.009998,38.369999,35.772049,18960200
2014-03-21,38.700001,38.849998,37.500000,37.500000,34.960968,33897900
2014-03-24,37.490002,38.340000,37.380001,38.180000,35.594929,22539000
2014-03-25,38.130001,38.500000,38.099998,38.400002,35.800026,19750600
2014-03-26,38.400002,39.459999,38.360001,39.080002,36.433994,31357500
2014-03-27,38.990002,39.560001,38.799999,39.240002,36.583157,26283600
2014-03-28,39.520000,39.860001,39.189999,39.570000,36.890823,18405100
2014-03-31,39.750000,41.430000,39.630001,40.910000,38.140087,48340300
2014-04-01,41.040001,42.000000,40.959999,41.490002,38.680820,35431800
2014-04-02,41.369999,41.619999,40.849998,41.130001,38.345192,22754900
2014-04-03,41.040001,41.139999,40.340000,40.369999,37.636642,22497000
2014-04-04,40.599998,40.730000,39.660000,39.980000,37.384174,23836200
2014-04-07,39.799999,39.919998,39.040001,39.470001,36.907307,27311900
2014-04-08,39.439999,40.349998,39.360001,40.240002,37.627296,22197600
2014-04-09,40.470001,40.919998,40.180000,40.880001,38.225746,20314000
2014-04-10,40.889999,41.049999,39.480000,39.790001,37.206516,26397800
2014-04-11,39.509998,39.880001,38.970001,38.980000,36.449104,18655800
2014-04-14,39.080002,39.750000,39.080002,39.570000,37.000805,16022000
2014-04-15,39.700001,39.980000,39.240002,39.730000,37.150414,14553400
2014-04-16,39.939999,40.150002,39.509998,40.130001,37.524445,13614800
2014-04-17,39.959999,40.180000,39.389999,40.080002,37.477695,14644100
2014-04-21,40.240002,40.439999,40.060001,40.240002,37.627296,8593600
2014-04-22,40.270000,40.619999,40.139999,40.459999,37.833012,10396100
2014-04-23,40.279999,40.340000,39.750000,39.790001,37.206516,10048500
2014-04-24,39.759998,39.860001,39.020000,39.750000,37.169109,13966400
2014-04-25,39.810001,39.810001,39.230000,39.450001,36.888588,11647800
2014-04-28,39.750000,40.279999,39.650002,40.130001,37.524445,20141200
2014-04-29,40.250000,40.610001,40.070000,40.110001,37.505741,14996300
2014-04-30,40.090000,40.930000,40.020000,40.880001,38.225746,16480900
2014-05-01,40.720001,41.189999,40.639999,40.970001,38.309902,13945500
2014-05-02,41.160000,41.209999,40.810001,40.810001,38.160286,10710100
2014-05-05,41.130001,41.259998,40.770000,41.209999,38.534317,13722700
2014-05-06,41.000000,41.290001,40.970001,41.009998,38.347301,12647500
2014-05-07,41.150002,41.279999,40.490002,41.060001,38.394058,12570400
2014-05-08,41.090000,41.259998,40.549999,40.869999,38.216400,10212900
2014-05-09,40.799999,41.259998,40.540001,41.040001,38.375355,10262400
2014-05-12,41.220001,42.139999,41.189999,41.950001,39.226269,18751400
2014-05-13,42.020000,42.090000,41.639999,41.889999,39.170166,10319200
2014-05-14,41.980000,42.020000,41.709999,41.880001,39.160816,14015200
2014-05-15,41.840000,42.169998,41.639999,41.930000,39.207577,19267000
2014-05-16,41.889999,41.970001,41.320000,41.689999,38.983154,15497400
2014-05-19,41.480000,42.200001,41.410000,42.160000,39.422634,11929700
2014-05-20,42.070000,42.099998,41.450001,41.560001,38.861603,10580200
2014-05-21,41.669998,41.790001,41.480000,41.680000,38.973804,11151700
2014-05-22,41.599998,41.939999,41.509998,41.520000,38.824196,12276200
2014-05-23,41.650002,42.230000,41.490002,42.150002,39.413288,12044200
2014-05-27,42.259998,42.349998,41.730000,41.910000,39.188869,12680200
2014-05-28,41.990002,42.189999,41.560001,41.570000,38.870949,11308800
2014-05-29,41.790001,42.209999,41.610001,42.200001,39.460037,9629500
2014-05-30,42.080002,42.200001,41.849998,42.020000,39.291733,13496500
2014-06-02,41.959999,42.020000,41.610001,41.970001,39.244972,11284900
2014-06-03,41.840000,41.919998,41.580002,41.810001,39.095356,10968400
2014-06-04,41.790001,41.790001,41.330002,41.700001,38.992508,8936300
2014-06-05,41.849998,42.330002,41.740002,42.099998,39.366535,10647800
2014-06-06,42.290001,42.630001,42.250000,42.630001,39.862125,11447800
2014-06-09,42.650002,42.810001,42.410000,42.700001,39.927574,10307400
2014-06-10,42.570000,42.880001,42.490002,42.660000,39.890175,13457200
2014-06-11,42.450001,42.880001,42.360001,42.560001,39.796661,9622700
2014-06-12,42.529999,42.619999,41.840000,42.000000,39.273022,11060900
2014-06-13,42.049999,42.180000,41.709999,42.139999,39.403923,10324600
2014-06-16,42.000000,42.230000,41.770000,42.150002,39.413288,8150200
2014-06-17,42.189999,42.700001,41.980000,42.320000,39.572247,12792400
2014-06-18,42.380001,42.860001,42.299999,42.810001,40.030437,10307000
2014-06-19,42.930000,43.189999,42.430000,42.509998,39.749908,27255800
2014-06-20,40.259998,40.939999,39.930000,40.820000,38.169636,65103700
2014-06-23,40.930000,41.330002,40.750000,41.099998,38.431465,16956600
2014-06-24,40.990002,41.389999,40.660000,40.759998,38.113522,16459200
2014-06-25,40.730000,40.840000,40.389999,40.459999,37.833012,13889400
2014-06-26,40.549999,40.549999,39.980000,40.150002,37.543140,16642500
2014-06-27,40.029999,40.660000,40.029999,40.529999,37.898464,15320500
2014-06-30,40.599998,40.820000,40.490002,40.529999,37.898464,14098200
2014-07-01,40.410000,40.910000,40.410000,40.770000,38.122887,13147000
2014-07-02,40.930000,41.200001,40.770000,40.950001,38.291203,13400200
2014-07-03,40.980000,41.360001,40.970001,41.340000,38.655888,7863600
2014-07-07,41.009998,41.110001,40.750000,40.889999,38.346409,11959400
2014-07-08,40.689999,40.849998,40.380001,40.560001,38.036942,12350600
2014-07-09,40.610001,40.720001,39.990002,40.259998,37.755585,14711600
2014-07-10,39.889999,40.520000,39.889999,40.320000,37.811855,9566900
2014-07-11,40.490002,40.490002,39.980000,40.130001,37.633686,11942300
2014-07-14,40.430000,40.680000,40.259998,40.490002,37.971291,13586800
2014-07-15,40.380001,40.810001,40.360001,40.540001,38.018177,11813800
2014-07-16,40.810001,40.880001,40.130001,40.259998,37.755585,14722600
2014-07-17,40.209999,40.709999,39.860001,39.910000,37.427368,24447800
2014-07-18,39.980000,40.160000,39.889999,40.000000,37.511768,19123500
2014-07-21,40.029999,40.240002,39.919998,40.009998,37.521152,15864700
2014-07-22,40.139999,40.700001,39.959999,40.430000,37.915028,13728100
2014-07-23,40.430000,40.650002,40.240002,40.310001,37.802479,9191700
2014-07-24,40.349998,40.669998,40.349998,40.470001,37.952534,10797700
2014-07-25,40.270000,40.639999,40.270000,40.330002,37.821239,7483800
2014-07-28,40.310001,40.820000,40.230000,40.549999,38.027554,9658200
2014-07-29,40.709999,40.919998,40.500000,40.630001,38.102581,9450400
2014-07-30,40.709999,41.029999,40.580002,40.959999,38.412048,11406300
2014-07-31,40.650002,40.939999,40.349998,40.389999,37.877506,13689500
2014-08-01,40.189999,40.529999,39.570000,39.610001,37.146038,15074700
2014-08-04,39.630001,40.220001,39.529999,40.099998,37.605545,12356200
2014-08-05,40.009998,40.380001,39.810001,39.959999,37.474258,8806600
2014-08-06,39.849998,40.349998,39.779999,40.160000,37.661819,8184800
2014-08-07,40.299999,40.430000,39.590000,39.669998,37.202290,9180500
2014-08-08,39.730000,39.970001,39.560001,39.939999,37.455502,8862000
2014-08-11,39.990002,40.139999,39.810001,39.919998,37.436737,10292800
2014-08-12,39.740002,40.040001,39.730000,39.900002,37.417995,6704300
2014-08-13,40.119999,40.299999,40.020000,40.240002,37.736843,10629700
2014-08-14,40.290001,40.400002,39.980000,40.220001,37.718086,9707000
2014-08-15,40.240002,40.590000,39.980000,40.279999,37.774349,13418800
2014-08-18,40.450001,40.770000,40.400002,40.639999,38.111950,7633600
2014-08-19,40.720001,41.580002,40.639999,41.410000,38.834057,14378600
2014-08-20,41.580002,41.580002,41.090000,41.250000,38.684006,9627100
2014-08-21,41.160000,41.810001,41.160000,41.580002,38.993484,9569200
2014-08-22,41.340000,41.799999,41.270000,41.630001,39.040375,9260700
2014-08-25,41.740002,42.040001,41.639999,41.740002,39.143536,8856700
2014-08-26,41.849998,42.000000,41.779999,41.840000,39.237309,7320800
2014-08-27,41.750000,41.799999,41.419998,41.639999,39.049747,8440000
2014-08-28,41.669998,41.669998,41.209999,41.270000,38.702766,8737100
2014-08-29,41.240002,41.730000,41.240002,41.529999,38.946590,8970900
2014-09-02,41.599998,41.680000,41.459999,41.660000,39.068508,8538600
2014-09-03,41.799999,41.950001,41.619999,41.900002,39.293579,10041600
2014-09-04,41.889999,42.090000,41.369999,41.549999,38.965351,12248100
2014-09-05,41.610001,41.759998,41.259998,41.270000,38.702766,15155600
2014-09-08,41.009998,41.180000,40.270000,40.639999,38.111950,19658500
2014-09-09,40.509998,40.910000,40.430000,40.709999,38.177605,14044100
2014-09-10,40.700001,40.810001,40.570000,40.709999,38.177605,9134500
2014-09-11,40.250000,40.689999,40.200001,40.680000,38.149467,12389100
2014-09-12,40.740002,40.740002,40.400002,40.500000,37.980663,11912300
2014-09-15,40.500000,40.770000,40.209999,40.660000,38.130707,14018100
2014-09-16,40.810001,41.330002,40.500000,41.189999,38.627747,13220100
2014-09-17,41.189999,41.330002,40.770000,41.139999,38.580856,14083300
2014-09-18,41.349998,41.770000,41.200001,41.549999,38.965351,26454500
2014-09-19,40.580002,40.660000,39.279999,39.799999,37.324219,86679100
2014-09-22,39.680000,39.740002,39.240002,39.580002,37.117893,24572600
2014-09-23,39.500000,39.590000,38.799999,38.830002,36.414551,34353300
2014-09-24,38.770000,39.560001,38.570000,39.419998,36.967842,18937000
2014-09-25,39.349998,39.349998,38.650002,38.759998,36.348900,13287800
2014-09-26,38.770000,39.009998,38.520000,38.950001,36.527084,16006400
2014-09-29,38.570000,38.630001,38.270000,38.439999,36.048805,16586000
2014-09-30,38.459999,38.570000,38.139999,38.279999,35.898754,21143300
2014-10-01,38.320000,38.410000,37.950001,38.090000,35.720577,17452400
2014-10-02,38.150002,38.549999,37.919998,38.270000,35.889385,14808100
2014-10-03,38.500000,39.119999,38.400002,38.889999,36.470814,15289500
2014-10-06,38.970001,39.240002,38.950001,39.080002,36.762436,14168000
2014-10-07,38.939999,39.080002,38.430000,38.459999,36.179203,14309200
2014-10-08,38.820000,39.049999,38.040001,39.020000,36.705994,16005500
2014-10-09,38.990002,39.209999,38.509998,38.740002,36.442600,15004900
2014-10-10,38.660000,39.099998,38.090000,38.099998,35.840542,18234100
2014-10-13,38.110001,38.779999,37.860001,38.230000,35.962833,20723700
2014-10-14,38.660000,39.040001,38.419998,38.459999,36.179203,19508500
2014-10-15,37.980000,38.430000,37.180000,38.299999,36.028690,24561500
2014-10-16,37.990002,38.180000,37.520000,37.560001,35.332577,21419300
2014-10-17,37.689999,38.020000,37.340000,37.869999,35.624191,21122700
2014-10-20,36.310001,37.810001,35.820000,37.799999,35.558342,16654100
2014-10-21,38.290001,38.470001,38.040001,38.349998,36.075722,15381900
2014-10-22,38.369999,38.430000,37.580002,37.639999,35.407825,16810200
2014-10-23,38.080002,38.500000,38.009998,38.230000,35.962833,9659100
2014-10-24,38.320000,38.740002,38.250000,38.730000,36.433197,8975900
2014-10-27,38.500000,38.720001,38.349998,38.430000,36.150974,7525300
2014-10-28,38.340000,38.730000,38.340000,38.650002,36.357933,11631800
2014-10-29,38.730000,38.740002,38.459999,38.580002,36.292084,10923800
2014-10-30,38.400002,38.660000,38.389999,38.500000,36.216820,9644400
2014-10-31,38.880001,39.049999,38.830002,39.049999,36.734211,16142800
2014-11-03,39.020000,39.040001,38.759998,38.990002,36.677769,10318600
2014-11-04,38.930000,39.150002,38.900002,39.130001,36.809471,12671000
2014-11-05,39.340000,39.509998,39.110001,39.290001,36.959976,12280300
2014-11-06,39.220001,39.860001,39.110001,39.810001,37.449142,11603400
2014-11-07,39.689999,39.970001,39.610001,39.939999,37.571430,13728500
2014-11-10,39.970001,40.490002,39.889999,40.450001,38.051189,11058100
2014-11-11,40.529999,40.590000,40.349998,40.470001,38.070004,7061000
2014-11-12,40.560001,40.590000,40.049999,40.139999,37.759575,10965100
2014-11-13,40.169998,40.770000,39.889999,40.720001,38.305172,11868700
2014-11-14,40.860001,41.070000,40.630001,40.840000,38.418060,11476500
2014-11-17,40.709999,41.200001,40.630001,41.160000,38.719078,11987600
2014-11-18,41.189999,41.480000,41.110001,41.259998,38.813145,9328200
2014-11-19,41.150002,41.270000,40.810001,40.919998,38.493309,9202600
2014-11-20,40.709999,41.009998,40.610001,40.919998,38.493309,9062200
2014-11-21,41.320000,41.500000,41.169998,41.439999,38.982475,12641400
2014-11-24,41.490002,41.639999,41.360001,41.430000,38.973068,9542100
2014-11-25,41.509998,41.639999,41.150002,41.150002,38.709671,12404200
2014-11-26,41.180000,41.910000,41.180000,41.869999,39.386971,11590000
2014-11-28,41.980000,42.509998,41.889999,42.410000,39.894947,11890100
2014-12-01,42.009998,42.380001,42.009998,42.080002,39.584522,10802400
2014-12-02,41.900002,42.360001,41.860001,42.180000,39.678596,9083200
2014-12-03,41.939999,42.139999,41.639999,42.060001,39.565712,10326000
2014-12-04,42.119999,42.119999,41.490002,41.889999,39.405788,9177100
2014-12-05,42.020000,42.020000,41.590000,41.930000,39.443420,8925300
2014-12-08,41.910000,42.029999,41.330002,41.369999,38.916622,12766500
2014-12-09,40.980000,41.930000,40.889999,41.869999,39.386971,13897500
2014-12-10,41.700001,41.810001,40.880001,40.919998,38.493309,12547600
2014-12-11,41.119999,41.639999,40.709999,40.759998,38.342800,12395800
2014-12-12,40.240002,40.779999,39.919998,39.950001,37.580837,14108200
2014-12-15,41.209999,41.650002,40.770000,41.110001,38.672047,22343100
2014-12-16,40.889999,41.360001,40.610001,40.630001,38.220520,16424500
2014-12-17,41.060001,41.630001,40.680000,41.160000,38.719078,18151000
2014-12-18,43.830002,45.369999,43.570000,45.349998,42.660591,54495600
2014-12-19,45.099998,46.150002,44.980000,46.000000,43.272057,41782200
2014-12-22,45.570000,46.049999,45.410000,45.650002,42.942802,21264400
2014-12-23,45.529999,46.500000,45.459999,46.009998,43.281460,14042400
2014-12-24,46.360001,46.709999,46.150002,46.230000,43.488419,10238200
2014-12-26,46.189999,46.500000,46.070000,46.099998,43.366119,6901500
2014-12-29,46.020000,46.090000,45.599998,45.610001,42.905186,9701400
2014-12-30,45.549999,45.660000,45.290001,45.340000,42.651192,9968400
2014-12-31,45.450001,45.560001,44.970001,44.970001,42.303135,13269200


================================================
FILE: datas/ticksample.csv
================================================
Datetime,Open,High,Low,Close,Volume,OpenInterest
2015-09-23T20:57:42.146,3067.00,3067.00,3067.00,3067.00,180,0
2015-09-23T20:57:46.151,3066.00,3066.00,3066.00,3066.00,2,0
2015-09-23T20:57:53.821,3066.00,3066.00,3066.00,3066.00,1,0
2015-09-23T20:57:55.073,3066.00,3066.00,3066.00,3066.00,2,0
2015-09-23T20:57:57.330,3066.00,3066.00,3066.00,3066.00,1,0
2015-09-23T20:58:00.079,3066.00,3066.00,3066.00,3066.00,168,0
2015-09-23T20:58:00.267,3066.00,3066.00,3066.00,3066.00,15,0
2015-09-23T20:58:00.578,3066.00,3066.00,3066.00,3066.00,3,0
2015-09-23T20:58:01.091,3065.00,3065.00,3065.00,3065.00,4,0
2015-09-23T20:58:01.341,3066.00,3066.00,3066.00,3066.00,4,0
2015-09-23T20:58:02.587,3067.00,3067.00,3067.00,3067.00,50,0
2015-09-23T20:58:03.271,3066.00,3066.00,3066.00,3066.00,191,0
2015-09-23T20:58:05.052,3067.00,3067.00,3067.00,3067.00,69,0
2015-09-23T20:58:06.540,3066.00,3066.00,3066.00,3066.00,10,0
2015-09-23T20:58:10.550,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:58:12.301,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:58:12.551,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:58:13.049,3066.00,3066.00,3066.00,3066.00,1,0
2015-09-23T20:58:13.549,3067.00,3067.00,3067.00,3067.00,4,0
2015-09-23T20:58:19.561,3068.00,3068.00,3068.00,3068.00,198,0
2015-09-23T20:58:21.068,3068.00,3068.00,3068.00,3068.00,6,0
2015-09-23T20:58:22.316,3068.00,3068.00,3068.00,3068.00,60,0
2015-09-23T20:58:22.316,3069.00,3069.00,3069.00,3069.00,1,0
2015-09-23T20:58:22.665,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:29.429,3068.00,3068.00,3068.00,3068.00,5,0
2015-09-23T20:58:29.679,3068.00,3068.00,3068.00,3068.00,65,0
2015-09-23T20:58:30.590,3068.00,3068.00,3068.00,3068.00,2,0
2015-09-23T20:58:31.182,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:31.674,3068.00,3068.00,3068.00,3068.00,2,0
2015-09-23T20:58:32.832,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:37.189,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:39.451,3068.00,3068.00,3068.00,3068.00,2,0
2015-09-23T20:58:41.701,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:58:41.841,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:42.948,3069.00,3069.00,3069.00,3069.00,8,0
2015-09-23T20:58:43.188,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:44.201,3069.00,3069.00,3069.00,3069.00,7,0
2015-09-23T20:58:44.451,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:46.946,3069.00,3069.00,3069.00,3069.00,16,0
2015-09-23T20:58:47.186,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:52.192,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:53.953,3068.00,3068.00,3068.00,3068.00,61,0
2015-09-23T20:58:55.208,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:58:57.958,3069.00,3069.00,3069.00,3069.00,30,0
2015-09-23T20:58:58.463,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:58.970,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:58:59.971,3067.00,3067.00,3067.00,3067.00,12,0
2015-09-23T20:59:00.222,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:00.412,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:00.713,3067.00,3067.00,3067.00,3067.00,10,0
2015-09-23T20:59:00.963,3068.00,3068.00,3068.00,3068.00,9,0
2015-09-23T20:59:01.213,3067.00,3067.00,3067.00,3067.00,3,0
2015-09-23T20:59:01.471,3068.00,3068.00,3068.00,3068.00,4,0
2015-09-23T20:59:01.627,3068.00,3068.00,3068.00,3068.00,3,0
2015-09-23T20:59:03.723,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:59:05.223,3068.00,3068.00,3068.00,3068.00,6,0
2015-09-23T20:59:05.973,3067.00,3067.00,3067.00,3067.00,3,0
2015-09-23T20:59:06.380,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:59:09.235,3068.00,3068.00,3068.00,3068.00,25,0
2015-09-23T20:59:10.237,3068.00,3068.00,3068.00,3068.00,17,0
2015-09-23T20:59:12.477,3067.00,3067.00,3067.00,3067.00,4,0
2015-09-23T20:59:12.633,3067.00,3067.00,3067.00,3067.00,4,0
2015-09-23T20:59:12.966,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:13.232,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:15.237,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:15.487,3068.00,3068.00,3068.00,3068.00,9,0
2015-09-23T20:59:16.739,3068.00,3068.00,3068.00,3068.00,27,0
2015-09-23T20:59:16.895,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:17.902,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:59:18.496,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:59:18.987,3068.00,3068.00,3068.00,3068.00,11,0
2015-09-23T20:59:19.402,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:21.490,3068.00,3068.00,3068.00,3068.00,4,0
2015-09-23T20:59:26.998,3068.00,3068.00,3068.00,3068.00,14,0
2015-09-23T20:59:27.248,3068.00,3068.00,3068.00,3068.00,2,0
2015-09-23T20:59:27.749,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:59:28.506,3067.00,3067.00,3067.00,3067.00,15,0
2015-09-23T20:59:30.002,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:31.018,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:31.757,3068.00,3068.00,3068.00,3068.00,25,0
2015-09-23T20:59:32.015,3067.00,3067.00,3067.00,3067.00,40,0
2015-09-23T20:59:32.257,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:59:33.508,3067.00,3067.00,3067.00,3067.00,31,0
2015-09-23T20:59:35.019,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:35.265,3068.00,3068.00,3068.00,3068.00,25,0
2015-09-23T20:59:35.769,3067.00,3067.00,3067.00,3067.00,10,0
2015-09-23T20:59:37.016,3068.00,3068.00,3068.00,3068.00,24,0
2015-09-23T20:59:38.276,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:59:38.515,3067.00,3067.00,3067.00,3067.00,5,0
2015-09-23T20:59:38.771,3068.00,3068.00,3068.00,3068.00,25,0
2015-09-23T20:59:40.458,3068.00,3068.00,3068.00,3068.00,72,0
2015-09-23T20:59:41.028,3068.00,3068.00,3068.00,3068.00,2,0
2015-09-23T20:59:42.272,3069.00,3069.00,3069.00,3069.00,25,0
2015-09-23T20:59:43.012,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:43.528,3069.00,3069.00,3069.00,3069.00,11,0
2015-09-23T20:59:43.778,3069.00,3069.00,3069.00,3069.00,25,0
2015-09-23T20:59:44.035,3068.00,3068.00,3068.00,3068.00,10,0
2015-09-23T20:59:44.285,3068.00,3068.00,3068.00,3068.00,30,0
2015-09-23T20:59:44.535,3069.00,3069.00,3069.00,3069.00,3,0
2015-09-23T20:59:44.785,3069.00,3069.00,3069.00,3069.00,1,0
2015-09-23T20:59:45.440,3069.00,3069.00,3069.00,3069.00,25,0
2015-09-23T20:59:46.193,3069.00,3069.00,3069.00,3069.00,4,0
2015-09-23T20:59:46.444,3069.00,3069.00,3069.00,3069.00,3,0
2015-09-23T20:59:47.034,3069.00,3069.00,3069.00,3069.00,1,0
2015-09-23T20:59:47.278,3069.00,3069.00,3069.00,3069.00,26,0
2015-09-23T20:59:48.542,3069.00,3069.00,3069.00,3069.00,4,0
2015-09-23T20:59:48.780,3068.00,3068.00,3068.00,3068.00,5,0
2015-09-23T20:59:49.030,3069.00,3069.00,3069.00,3069.00,25,0
2015-09-23T20:59:49.298,3069.00,3069.00,3069.00,3069.00,9,0
2015-09-23T20:59:49.446,3069.00,3069.00,3069.00,3069.00,1,0
2015-09-23T20:59:49.789,3069.00,3069.00,3069.00,3069.00,1,0
2015-09-23T20:59:50.031,3068.00,3068.00,3068.00,3068.00,201,0
2015-09-23T20:59:50.480,3069.00,3069.00,3069.00,3069.00,8,0
2015-09-23T20:59:50.794,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:51.039,3068.00,3068.00,3068.00,3068.00,17,0
2015-09-23T20:59:51.289,3068.00,3068.00,3068.00,3068.00,7,0
2015-09-23T20:59:51.445,3068.00,3068.00,3068.00,3068.00,5,0
2015-09-23T20:59:52.040,3068.00,3068.00,3068.00,3068.00,3,0
2015-09-23T20:59:52.286,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:52.536,3068.00,3068.00,3068.00,3068.00,29,0
2015-09-23T20:59:53.539,3067.00,3067.00,3067.00,3067.00,1,0
2015-09-23T20:59:54.302,3068.00,3068.00,3068.00,3068.00,25,0
2015-09-23T20:59:55.053,3067.00,3067.00,3067.00,3067.00,2,0
2015-09-23T20:59:55.282,3068.00,3068.00,3068.00,3068.00,66,0
2015-09-23T20:59:56.055,3068.00,3068.00,3068.00,3068.00,26,0
2015-09-23T20:59:56.301,3068.00,3068.00,3068.00,3068.00,7,0
2015-09-23T20:59:56.792,3067.00,3067.00,3067.00,3067.00,10,0
2015-09-23T20:59:57.287,3068.00,3068.00,3068.00,3068.00,7,0
2015-09-23T20:59:57.552,3068.00,3068.00,3068.00,3068.00,5,0
2015-09-23T20:59:57.802,3069.00,3069.00,3069.00,3069.00,16,0
2015-09-23T20:59:58.048,3068.00,3068.00,3068.00,3068.00,8,0
2015-09-23T20:59:58.548,3068.00,3068.00,3068.00,3068.00,1,0
2015-09-23T20:59:59.049,3069.00,3069.00,3069.00,3069.00,230,0
2015-09-23T20:59:59.547,3068.00,3068.00,3068.00,3068.00,19,0
2015-09-23T21:00:00.238,3069.00,3069.00,3069.00,3069.00,1,0


================================================
FILE: datas/yhoo-1996-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
1996-04-12,1.052083,1.791667,1.020833,1.375000,1.375000,408720000
1996-04-15,1.489583,1.500000,1.250000,1.343750,1.343750,79219200
1996-04-16,1.343750,1.343750,1.166667,1.197917,1.197917,48016000
1996-04-17,1.177083,1.177083,1.031250,1.125000,1.125000,42816000
1996-04-18,1.255208,1.255208,1.166667,1.218750,1.218750,27268800
1996-04-19,1.255208,1.281250,1.197917,1.203125,1.203125,12913600
1996-04-22,1.208333,1.208333,1.145833,1.177083,1.177083,8041600
1996-04-23,1.197917,1.208333,1.166667,1.166667,1.166667,4297600
1996-04-24,1.187500,1.213542,1.156250,1.208333,1.208333,7795200
1996-04-25,1.250000,1.343750,1.208333,1.302083,1.302083,19478400
1996-04-26,1.333333,1.343750,1.302083,1.322917,1.322917,7561600
1996-04-29,1.312500,1.333333,1.270833,1.291667,1.291667,5928000
1996-04-30,1.302083,1.312500,1.229167,1.239583,1.239583,5003200
1996-05-01,1.260417,1.322917,1.250000,1.317708,1.317708,4881600
1996-05-02,1.312500,1.385417,1.312500,1.369792,1.369792,9731200
1996-05-03,1.343750,1.354167,1.302083,1.333333,1.333333,6116800
1996-05-06,1.354167,1.354167,1.223958,1.255208,1.255208,8214400
1996-05-07,1.250000,1.281250,1.239583,1.265625,1.265625,5569600
1996-05-08,1.270833,1.281250,1.213542,1.260417,1.260417,6288000
1996-05-09,1.250000,1.281250,1.239583,1.281250,1.281250,4032000
1996-05-10,1.281250,1.322917,1.270833,1.302083,1.302083,5875200
1996-05-13,1.307292,1.312500,1.250000,1.260417,1.260417,2747200
1996-05-14,1.281250,1.291667,1.229167,1.229167,1.229167,4003200
1996-05-15,1.250000,1.281250,1.239583,1.260417,1.260417,2200000
1996-05-16,1.239583,1.270833,1.239583,1.260417,1.260417,3390400
1996-05-17,1.260417,1.270833,1.239583,1.250000,1.250000,2448000
1996-05-20,1.250000,1.265625,1.208333,1.208333,1.208333,4257600
1996-05-21,1.208333,1.213542,1.156250,1.166667,1.166667,4048000
1996-05-22,1.166667,1.166667,1.125000,1.145833,1.145833,2563200
1996-05-23,1.145833,1.229167,1.145833,1.229167,1.229167,2918400
1996-05-24,1.229167,1.250000,1.197917,1.229167,1.229167,2491200
1996-05-28,1.218750,1.234375,1.187500,1.208333,1.208333,2224000
1996-05-29,1.197917,1.197917,1.125000,1.145833,1.145833,3726400
1996-05-30,1.145833,1.208333,1.145833,1.177083,1.177083,3038400
1996-05-31,1.197917,1.197917,1.135417,1.166667,1.166667,1734400
1996-06-03,1.156250,1.166667,1.135417,1.135417,1.135417,1142400
1996-06-04,1.135417,1.166667,1.130208,1.130208,1.130208,2468800
1996-06-05,1.145833,1.145833,1.125000,1.130208,1.130208,1166400
1996-06-06,1.187500,1.197917,1.145833,1.156250,1.156250,3873600
1996-06-07,1.135417,1.135417,1.104167,1.119792,1.119792,3457600
1996-06-10,1.119792,1.119792,1.088542,1.104167,1.104167,1849600
1996-06-11,1.088542,1.104167,1.062500,1.062500,1.062500,4243200
1996-06-12,1.072917,1.114583,1.072917,1.083333,1.083333,2608000
1996-06-13,1.072917,1.093750,1.020833,1.062500,1.062500,5668800
1996-06-14,1.031250,1.062500,1.031250,1.031250,1.031250,2046400
1996-06-17,1.031250,1.041667,0.937500,0.958333,0.958333,3249600
1996-06-18,0.906250,0.927083,0.854167,0.854167,0.854167,5564800
1996-06-19,0.875000,0.895833,0.854167,0.864583,0.864583,4033600
1996-06-20,0.875000,0.906250,0.854167,0.906250,0.906250,2958400
1996-06-21,0.927083,0.947917,0.906250,0.927083,0.927083,2544000
1996-06-24,0.927083,0.927083,0.906250,0.906250,0.906250,633600
1996-06-25,0.906250,0.927083,0.895833,0.906250,0.906250,993600
1996-06-26,0.895833,0.916667,0.864583,0.875000,0.875000,1488000
1996-06-27,0.885417,0.916667,0.760417,0.760417,0.760417,7392000
1996-06-28,0.812500,0.875000,0.791667,0.875000,0.875000,4067200
1996-07-01,0.854167,0.927083,0.854167,0.906250,0.906250,2286400
1996-07-02,0.927083,0.927083,0.885417,0.885417,0.885417,984000
1996-07-03,0.906250,0.906250,0.854167,0.875000,0.875000,1384000
1996-07-05,0.833333,0.859375,0.822917,0.833333,0.833333,748800
1996-07-08,0.833333,0.833333,0.802083,0.833333,0.833333,1211200
1996-07-09,0.812500,0.833333,0.770833,0.770833,0.770833,2112000
1996-07-10,0.781250,0.781250,0.666667,0.682292,0.682292,5899200
1996-07-11,0.666667,0.718750,0.645833,0.718750,0.718750,3510400
1996-07-12,0.708333,0.750000,0.708333,0.729167,0.729167,1696000
1996-07-15,0.750000,0.770833,0.729167,0.744792,0.744792,1900800
1996-07-16,0.739583,0.770833,0.723958,0.750000,0.750000,3726400
1996-07-17,0.755208,0.802083,0.739583,0.802083,0.802083,1849600
1996-07-18,0.812500,0.828125,0.781250,0.802083,0.802083,1608000
1996-07-19,0.828125,0.828125,0.781250,0.786458,0.786458,1235200
1996-07-22,0.791667,0.791667,0.729167,0.750000,0.750000,1132800
1996-07-23,0.729167,0.750000,0.677083,0.677083,0.677083,1881600
1996-07-24,0.677083,0.682292,0.645833,0.656250,0.656250,888000
1996-07-25,0.656250,0.697917,0.656250,0.677083,0.677083,1283200
1996-07-26,0.677083,0.692708,0.656250,0.692708,0.692708,600000
1996-07-29,0.677083,0.692708,0.671875,0.671875,0.671875,371200
1996-07-30,0.677083,0.729167,0.677083,0.708333,0.708333,686400
1996-07-31,0.708333,0.750000,0.708333,0.750000,0.750000,931200
1996-08-01,0.750000,0.791667,0.729167,0.791667,0.791667,1388800
1996-08-02,0.770833,0.802083,0.770833,0.786458,0.786458,1168000
1996-08-05,0.791667,0.807292,0.786458,0.786458,0.786458,510400
1996-08-06,0.802083,0.802083,0.755208,0.755208,0.755208,817600
1996-08-07,0.744792,0.760417,0.739583,0.750000,0.750000,971200
1996-08-08,0.750000,0.770833,0.739583,0.770833,0.770833,1748800
1996-08-09,0.723958,0.739583,0.687500,0.739583,0.739583,1833600
1996-08-12,0.729167,0.729167,0.708333,0.718750,0.718750,864000
1996-08-13,0.708333,0.854167,0.708333,0.828125,0.828125,10464000
1996-08-14,0.838542,0.859375,0.833333,0.848958,0.848958,4852800
1996-08-15,0.848958,0.848958,0.817708,0.828125,0.828125,1177600
1996-08-16,0.812500,0.828125,0.796875,0.807292,0.807292,864000
1996-08-19,0.807292,0.817708,0.807292,0.817708,0.817708,428800
1996-08-20,0.817708,0.817708,0.796875,0.796875,0.796875,494400
1996-08-21,0.796875,0.802083,0.760417,0.776042,0.776042,688000
1996-08-22,0.776042,0.833333,0.760417,0.828125,0.828125,1921600
1996-08-23,0.822917,0.843750,0.822917,0.822917,0.822917,1024000
1996-08-26,0.838542,0.838542,0.822917,0.822917,0.822917,388800
1996-08-27,0.822917,0.848958,0.822917,0.838542,0.838542,1897600
1996-08-28,0.838542,0.921875,0.838542,0.880208,0.880208,5193600
1996-08-29,0.869792,0.880208,0.822917,0.822917,0.822917,1987200
1996-08-30,0.828125,0.838542,0.807292,0.817708,0.817708,913600
1996-09-03,0.791667,0.807292,0.781250,0.791667,0.791667,1012800
1996-09-04,0.791667,0.802083,0.776042,0.786458,0.786458,528000
1996-09-05,0.765625,0.776042,0.765625,0.765625,0.765625,148800
1996-09-06,0.760417,0.776042,0.755208,0.765625,0.765625,753600
1996-09-09,0.755208,0.786458,0.755208,0.781250,0.781250,835200
1996-09-10,0.781250,0.796875,0.770833,0.770833,0.770833,907200
1996-09-11,0.781250,0.791667,0.770833,0.786458,0.786458,1267200
1996-09-12,0.781250,0.812500,0.781250,0.812500,0.812500,1374400
1996-09-13,0.828125,0.869792,0.822917,0.859375,0.859375,3193600
1996-09-16,0.859375,0.875000,0.854167,0.859375,0.859375,1382400
1996-09-17,0.880208,0.901042,0.864583,0.901042,0.901042,2665600
1996-09-18,0.895833,0.901042,0.848958,0.864583,0.864583,1977600
1996-09-19,0.864583,0.895833,0.854167,0.895833,0.895833,1761600
1996-09-20,0.895833,1.000000,0.890625,1.000000,1.000000,7460800
1996-09-23,0.994792,1.026042,0.989583,0.992188,0.992188,5332800
1996-09-24,0.989583,0.994792,0.937500,0.947917,0.947917,3774400
1996-09-25,0.937500,0.942708,0.901042,0.911458,0.911458,2040000
1996-09-26,0.901042,0.921875,0.901042,0.911458,0.911458,1067200
1996-09-27,0.911458,0.921875,0.895833,0.906250,0.906250,688000
1996-09-30,0.906250,0.906250,0.885417,0.885417,0.885417,849600
1996-10-01,0.875000,0.885417,0.796875,0.817708,0.817708,4105600
1996-10-02,0.848958,0.942708,0.848958,0.906250,0.906250,5827200
1996-10-03,0.921875,0.979167,0.916667,0.942708,0.942708,4324800
1996-10-04,0.963542,0.968750,0.916667,0.916667,0.916667,2046400
1996-10-07,0.916667,0.942708,0.916667,0.927083,0.927083,715200
1996-10-08,0.932292,0.942708,0.869792,0.869792,0.869792,2299200
1996-10-09,0.869792,0.937500,0.869792,0.937500,0.937500,2366400
1996-10-10,0.947917,0.953125,0.848958,0.854167,0.854167,8673600
1996-10-11,0.848958,0.869792,0.848958,0.859375,0.859375,2382400
1996-10-14,0.869792,0.901042,0.859375,0.901042,0.901042,6452800
1996-10-15,0.895833,0.906250,0.875000,0.895833,0.895833,3884800
1996-10-16,0.890625,0.901042,0.875000,0.880208,0.880208,2702400
1996-10-17,0.880208,0.921875,0.880208,0.916667,0.916667,3504000
1996-10-18,0.927083,0.927083,0.906250,0.916667,0.916667,2582400
1996-10-21,0.906250,0.927083,0.906250,0.911458,0.911458,2232000
1996-10-22,0.911458,0.921875,0.885417,0.885417,0.885417,1868800
1996-10-23,0.885417,0.895833,0.875000,0.880208,0.880208,1492800
1996-10-24,0.875000,0.880208,0.869792,0.869792,0.869792,1244800
1996-10-25,0.869792,0.875000,0.854167,0.854167,0.854167,1984000
1996-10-28,0.854167,0.864583,0.854167,0.859375,0.859375,558400
1996-10-29,0.859375,0.864583,0.854167,0.854167,0.854167,625600
1996-10-30,0.854167,0.859375,0.838542,0.838542,0.838542,969600
1996-10-31,0.833333,0.843750,0.812500,0.822917,0.822917,1646400
1996-11-01,0.812500,0.822917,0.812500,0.812500,0.812500,340800
1996-11-04,0.812500,0.822917,0.791667,0.791667,0.791667,995200
1996-11-05,0.791667,0.802083,0.734375,0.760417,0.760417,2982400
1996-11-06,0.750000,0.770833,0.744792,0.750000,0.750000,1656000
1996-11-07,0.744792,0.765625,0.744792,0.755208,0.755208,932800
1996-11-08,0.755208,0.812500,0.755208,0.812500,0.812500,2179200
1996-11-11,0.812500,0.843750,0.812500,0.838542,0.838542,2348800
1996-11-12,0.828125,0.838542,0.817708,0.822917,0.822917,712000
1996-11-13,0.822917,0.822917,0.776042,0.791667,0.791667,1340800
1996-11-14,0.791667,0.791667,0.755208,0.757813,0.757813,1681600
1996-11-15,0.765625,0.776042,0.760417,0.770833,0.770833,1192000
1996-11-18,0.760417,0.770833,0.744792,0.755208,0.755208,1729600
1996-11-19,0.755208,0.755208,0.739583,0.744792,0.744792,2137600
1996-11-20,0.744792,0.755208,0.734375,0.739583,0.739583,1022400
1996-11-21,0.734375,0.739583,0.718750,0.723958,0.723958,1588800
1996-11-22,0.729167,0.734375,0.718750,0.734375,0.734375,1124800
1996-11-25,0.734375,0.802083,0.723958,0.796875,0.796875,6734400
1996-11-26,0.802083,0.822917,0.786458,0.786458,0.786458,3419200
1996-11-27,0.791667,0.791667,0.770833,0.773438,0.773438,1057600
1996-11-29,0.770833,0.796875,0.770833,0.796875,0.796875,803200
1996-12-02,0.781250,0.796875,0.781250,0.791667,0.791667,1081600
1996-12-03,0.781250,0.859375,0.781250,0.833333,0.833333,9120000
1996-12-04,0.828125,0.848958,0.822917,0.822917,0.822917,1633600
1996-12-05,0.822917,0.921875,0.822917,0.888021,0.888021,8190400
1996-12-06,0.843750,0.906250,0.828125,0.854167,0.854167,5596800
1996-12-09,0.848958,0.890625,0.843750,0.885417,0.885417,3827200
1996-12-10,0.885417,0.890625,0.843750,0.843750,0.843750,2521600
1996-12-11,0.828125,0.828125,0.796875,0.807292,0.807292,2592000
1996-12-12,0.812500,0.838542,0.791667,0.833333,0.833333,2851200
1996-12-13,0.812500,0.843750,0.812500,0.828125,0.828125,1353600
1996-12-16,0.833333,0.843750,0.776042,0.781250,0.781250,1886400
1996-12-17,0.776042,0.781250,0.744792,0.755208,0.755208,1732800
1996-12-18,0.750000,0.807292,0.744792,0.765625,0.765625,5496000
1996-12-19,0.770833,0.776042,0.744792,0.750000,0.750000,2049600
1996-12-20,0.755208,0.755208,0.708333,0.708333,0.708333,4926400
1996-12-23,0.729167,0.770833,0.723958,0.747396,0.747396,3619200
1996-12-24,0.755208,0.755208,0.739583,0.755208,0.755208,715200
1996-12-26,0.750000,0.760417,0.744792,0.744792,0.744792,1513600
1996-12-27,0.760417,0.781250,0.744792,0.760417,0.760417,1806400
1996-12-30,0.760417,0.760417,0.739583,0.750000,0.750000,1396800
1996-12-31,0.729167,0.734375,0.697917,0.708333,0.708333,3923200
1997-01-02,0.708333,0.729167,0.697917,0.729167,0.729167,2579200
1997-01-03,0.734375,0.781250,0.729817,0.765625,0.765625,2180800
1997-01-06,0.796875,0.828125,0.791667,0.828125,0.828125,6640000
1997-01-07,0.828125,0.854167,0.809896,0.838542,0.838542,5008000
1997-01-08,0.841146,0.848958,0.781250,0.786458,0.786458,2924800
1997-01-09,0.786458,0.822917,0.786458,0.807292,0.807292,4907200
1997-01-10,0.791667,0.802083,0.791667,0.802083,0.802083,2577600
1997-01-13,0.828125,0.921875,0.822917,0.906250,0.906250,18164800
1997-01-14,0.911458,0.911458,0.869792,0.869792,0.869792,5376000
1997-01-15,0.958333,1.083333,0.953125,1.057292,1.057292,50636800
1997-01-16,1.057292,1.125000,1.031250,1.088542,1.088542,20267200
1997-01-17,1.083333,1.119792,1.036458,1.109375,1.109375,24388800
1997-01-20,1.104167,1.302083,1.104167,1.229167,1.229167,36244800
1997-01-21,1.203125,1.343750,1.192708,1.328125,1.328125,30428800
1997-01-22,1.317708,1.385417,1.291667,1.328125,1.328125,29809600
1997-01-23,1.338542,1.468750,1.338542,1.468750,1.468750,28028800
1997-01-24,1.442708,1.458333,1.333333,1.380208,1.380208,28099200
1997-01-27,1.380208,1.557292,1.380208,1.518229,1.518229,41558400
1997-01-28,1.526042,1.526042,1.317708,1.359375,1.359375,27313600
1997-01-29,1.359375,1.406250,1.328125,1.401042,1.401042,17718400
1997-01-30,1.375000,1.473958,1.354167,1.421875,1.421875,21408000
1997-01-31,1.437500,1.463542,1.406250,1.411458,1.411458,6904000
1997-02-03,1.411458,1.458333,1.395833,1.453125,1.453125,16043200
1997-02-04,1.442708,1.510417,1.416667,1.442708,1.442708,13686400
1997-02-05,1.432292,1.458333,1.380208,1.411458,1.411458,7427200
1997-02-06,1.395833,1.421875,1.328125,1.343750,1.343750,11481600
1997-02-07,1.322917,1.322917,1.239583,1.255208,1.255208,18787200
1997-02-10,1.255208,1.265625,1.197917,1.213542,1.213542,9270400
1997-02-11,1.218750,1.307292,1.218750,1.307292,1.307292,12691200
1997-02-12,1.338542,1.510417,1.312500,1.484375,1.484375,28483200
1997-02-13,1.479167,1.505208,1.437500,1.494792,1.494792,17510400
1997-02-14,1.479167,1.489583,1.390625,1.432292,1.432292,10555200
1997-02-18,1.427083,1.437500,1.317708,1.421875,1.421875,10705600
1997-02-19,1.416667,1.416667,1.343750,1.375000,1.375000,9553600
1997-02-20,1.364583,1.375000,1.302083,1.328125,1.328125,7259200
1997-02-21,1.333333,1.338542,1.281250,1.296875,1.296875,6304000
1997-02-24,1.302083,1.375000,1.265625,1.265625,1.265625,9985600
1997-02-25,1.302083,1.416667,1.291667,1.348958,1.348958,13734400
1997-02-26,1.333333,1.348958,1.281250,1.302083,1.302083,12100800
1997-02-27,1.302083,1.317708,1.270833,1.270833,1.270833,4944000
1997-02-28,1.276042,1.286458,1.234375,1.260417,1.260417,8812800
1997-03-03,1.244792,1.328125,1.239583,1.250000,1.250000,10776000
1997-03-04,1.255208,1.255208,1.192708,1.195313,1.195313,7508800
1997-03-05,1.192708,1.197917,1.109375,1.125000,1.125000,12091200
1997-03-06,1.114583,1.135417,1.062500,1.093750,1.093750,12792000
1997-03-07,1.093750,1.140625,1.088542,1.135417,1.135417,6217600
1997-03-10,1.135417,1.135417,1.104167,1.109375,1.109375,3513600
1997-03-11,1.114583,1.140625,1.083333,1.083333,1.083333,7019200
1997-03-12,1.083333,1.114583,1.041667,1.067708,1.067708,7958400
1997-03-13,1.067708,1.067708,0.947917,0.950521,0.950521,13540800
1997-03-14,0.963542,1.057292,0.932292,1.052083,1.052083,11526400
1997-03-17,1.062500,1.098958,0.937500,0.963542,0.963542,24931200
1997-03-18,0.968750,1.005208,0.916667,0.942708,0.942708,11500800
1997-03-19,0.947917,1.057292,0.942708,1.031250,1.031250,21164800
1997-03-20,1.130208,1.229167,1.125000,1.208333,1.208333,29731200
1997-03-21,1.223958,1.276042,1.104167,1.197917,1.197917,27048000
1997-03-24,1.197917,1.250000,1.135417,1.197917,1.197917,14780800
1997-03-25,1.223958,1.255208,1.125000,1.169271,1.169271,10316800
1997-03-26,1.171875,1.250000,1.151042,1.234375,1.234375,10580800
1997-03-27,1.250000,1.250000,1.177083,1.190104,1.190104,7811200
1997-03-31,1.203125,1.203125,1.125000,1.171875,1.171875,5640000
1997-04-01,1.161458,1.229167,1.156250,1.229167,1.229167,6278400
1997-04-02,1.223958,1.250000,1.187500,1.247396,1.247396,7403200
1997-04-03,1.250000,1.281250,1.169271,1.218750,1.218750,9009600
1997-04-04,1.213542,1.348958,1.213542,1.317708,1.317708,17539200
1997-04-07,1.364583,1.427083,1.322917,1.401042,1.401042,23224000
1997-04-08,1.401042,1.406250,1.333333,1.385417,1.385417,10574400
1997-04-09,1.442708,1.500000,1.432292,1.434896,1.434896,25516800
1997-04-10,1.453125,1.458333,1.307292,1.361979,1.361979,34768000
1997-04-11,1.312500,1.437500,1.286458,1.429688,1.429688,21049600
1997-04-14,1.411458,1.432292,1.348958,1.369792,1.369792,10651200
1997-04-15,1.375000,1.421875,1.291667,1.304688,1.304688,14208000
1997-04-16,1.291667,1.348958,1.270833,1.304688,1.304688,16086400
1997-04-17,1.312500,1.401042,1.302083,1.351563,1.351563,10315200
1997-04-18,1.380208,1.390625,1.281250,1.291667,1.291667,10238400
1997-04-21,1.270833,1.291667,1.114583,1.177083,1.177083,12880000
1997-04-22,1.170571,1.171875,1.031250,1.143229,1.143229,27371200
1997-04-23,1.156250,1.307292,1.151042,1.302083,1.302083,13531200
1997-04-24,1.302083,1.307292,1.239583,1.270833,1.270833,17889600
1997-04-25,1.276042,1.276042,1.260417,1.260417,1.260417,6452800
1997-04-28,1.260417,1.369792,1.250000,1.307292,1.307292,12057600
1997-04-29,1.317708,1.333333,1.281250,1.322917,1.322917,20836800
1997-04-30,1.328125,1.442708,1.307292,1.421875,1.421875,23041600
1997-05-01,1.437500,1.437500,1.359375,1.416667,1.416667,9956800
1997-05-02,1.406250,1.479167,1.406250,1.458333,1.458333,13300800
1997-05-05,1.479167,1.541667,1.458333,1.500000,1.500000,16374400
1997-05-06,1.473958,1.479167,1.333333,1.372396,1.372396,19278400
1997-05-07,1.359375,1.447917,1.354167,1.395833,1.395833,16603200
1997-05-08,1.411458,1.479167,1.406250,1.421875,1.421875,7969600
1997-05-09,1.432292,1.453125,1.403646,1.406250,1.406250,9508800
1997-05-12,1.416667,1.416667,1.333333,1.364583,1.364583,9524800
1997-05-13,1.364583,1.364583,1.244792,1.265625,1.265625,25048000
1997-05-14,1.270833,1.322917,1.250000,1.260417,1.260417,14406400
1997-05-15,1.260417,1.296875,1.255208,1.296875,1.296875,11044800
1997-05-16,1.276042,1.348958,1.265625,1.328125,1.328125,12323200
1997-05-19,1.322917,1.346354,1.307292,1.343750,1.343750,6510400
1997-05-20,1.338542,1.354167,1.322917,1.351563,1.351563,6846400
1997-05-21,1.348958,1.421875,1.338542,1.380208,1.380208,14593600
1997-05-22,1.385417,1.385417,1.286458,1.304688,1.304688,5865600
1997-05-23,1.302083,1.333333,1.296875,1.309896,1.309896,2622400
1997-05-27,1.307292,1.348958,1.291667,1.320313,1.320313,2836800
1997-05-28,1.317708,1.390625,1.302083,1.333333,1.333333,5318400
1997-05-29,1.328125,1.354167,1.302083,1.328125,1.328125,5289600
1997-05-30,1.312500,1.395833,1.286458,1.343750,1.343750,9692800
1997-06-02,1.364583,1.395833,1.354167,1.380208,1.380208,3259200
1997-06-03,1.380208,1.385417,1.330729,1.354167,1.354167,2300800
1997-06-04,1.364583,1.375000,1.296875,1.312500,1.312500,2668800
1997-06-05,1.338542,1.359375,1.333333,1.351563,1.351563,2003200
1997-06-06,1.333333,1.375000,1.312500,1.333333,1.333333,6145600
1997-06-09,1.333333,1.416667,1.333333,1.356771,1.356771,6096000
1997-06-10,1.354167,1.380208,1.333333,1.348958,1.348958,5601600
1997-06-11,1.348958,1.354167,1.286458,1.291667,1.291667,17387200
1997-06-12,1.302083,1.338542,1.294271,1.333333,1.333333,5771200
1997-06-13,1.333333,1.375000,1.333333,1.343750,1.343750,3307200
1997-06-16,1.354167,1.468750,1.348958,1.445313,1.445313,15921600
1997-06-17,1.447917,1.463542,1.411458,1.458333,1.458333,5377600
1997-06-18,1.447917,1.473958,1.406250,1.421875,1.421875,8027200
1997-06-19,1.437500,1.468750,1.406250,1.447917,1.447917,5457600
1997-06-20,1.458333,1.640625,1.447917,1.635417,1.635417,22753600
1997-06-23,1.588542,1.609375,1.494792,1.541667,1.541667,17841600
1997-06-24,1.552083,1.578125,1.510417,1.549479,1.549479,6438400
1997-06-25,1.565104,1.604167,1.541667,1.552083,1.552083,6720000
1997-06-26,1.526042,1.531250,1.489583,1.510417,1.510417,5118400
1997-06-27,1.505208,1.536458,1.427083,1.437500,1.437500,8419200
1997-06-30,1.432292,1.479167,1.351563,1.468750,1.468750,14171200
1997-07-01,1.458333,1.468750,1.406250,1.419271,1.419271,4000000
1997-07-02,1.421875,1.437500,1.395833,1.406250,1.406250,5891200
1997-07-03,1.432292,1.437500,1.395833,1.395833,1.395833,4416000
1997-07-07,1.416667,1.572917,1.411458,1.572917,1.572917,14356800
1997-07-08,1.572917,1.666667,1.567708,1.656250,1.656250,17337600
1997-07-09,1.697917,1.880208,1.697917,1.833333,1.833333,37545600
1997-07-10,1.890625,1.921875,1.739583,1.791667,1.791667,44035200
1997-07-11,1.791667,1.880208,1.760417,1.833333,1.833333,15331200
1997-07-14,1.833333,2.020833,1.828125,2.020833,2.020833,24980800
1997-07-15,2.010417,2.114583,1.989583,2.104167,2.104167,33832000
1997-07-16,2.135417,2.135417,2.041667,2.046875,2.046875,11449600
1997-07-17,2.046875,2.046875,1.937500,1.953125,1.953125,12688000
1997-07-18,1.932292,2.015625,1.869792,1.953125,1.953125,12059200
1997-07-21,1.979167,2.083333,1.958333,2.067708,2.067708,11200000
1997-07-22,2.072917,2.130208,2.010417,2.101563,2.101563,11822400
1997-07-23,2.114583,2.114583,2.046875,2.046875,2.046875,7364800
1997-07-24,2.041667,2.062500,1.947917,1.979167,1.979167,15115200
1997-07-25,1.989583,2.005208,1.924479,1.994792,1.994792,9232000
1997-07-28,2.010417,2.041667,1.979167,1.981771,1.981771,3806400
1997-07-29,1.984375,2.010417,1.958333,2.010417,2.010417,4523200
1997-07-30,2.072917,2.291667,2.067708,2.276042,2.276042,47521600
1997-07-31,2.291667,2.354167,2.182292,2.354167,2.354167,33768000
1997-08-01,2.333333,2.333333,2.223958,2.302083,2.302083,19910400
1997-08-04,2.281250,2.281250,2.213542,2.223958,2.223958,12841600
1997-08-05,2.239583,2.312500,2.218750,2.265625,2.265625,11304000
1997-08-06,2.276042,2.333333,2.250000,2.291667,2.291667,7033600
1997-08-07,2.312500,2.338542,2.239583,2.242188,2.242188,8430400
1997-08-08,2.229167,2.276042,2.135417,2.250000,2.250000,13401600
1997-08-11,2.250000,2.250000,2.156250,2.218750,2.218750,18528000
1997-08-12,2.229167,2.260417,2.109375,2.122396,2.122396,10715200
1997-08-13,2.125000,2.187500,2.067708,2.098958,2.098958,18326400
1997-08-14,2.098958,2.125000,2.057292,2.065104,2.065104,5505600
1997-08-15,2.062500,2.072917,2.020833,2.020833,2.020833,9004800
1997-08-18,2.026042,2.187500,2.010417,2.182292,2.182292,18100800
1997-08-19,2.192708,2.333333,2.187500,2.302083,2.302083,20222400
1997-08-20,2.312500,2.406250,2.260417,2.390625,2.390625,21724800
1997-08-21,2.395833,2.406250,2.302083,2.322917,2.322917,10432000
1997-08-22,2.229167,2.338542,2.213542,2.320313,2.320313,12489600
1997-08-25,2.333333,2.385417,2.328125,2.364583,2.364583,10302400
1997-08-26,2.354167,2.364583,2.312500,2.328125,2.328125,6016000
1997-08-27,2.328125,2.348958,2.281250,2.325521,2.325521,11371200
1997-08-28,2.307292,2.403646,2.229167,2.338542,2.338542,24696000
1997-08-29,2.354167,2.494792,2.343750,2.479167,2.479167,13696000
1997-09-02,2.515625,2.546875,2.445313,2.492188,2.492188,10619200
1997-09-03,2.523438,2.617188,2.492188,2.539063,2.539063,11555200
1997-09-04,2.578125,2.648438,2.539063,2.609375,2.609375,9294400
1997-09-05,2.640625,2.859375,2.625000,2.835938,2.835938,16643200
1997-09-08,2.921875,3.070313,2.921875,2.949219,2.949219,21164800
1997-09-09,3.007813,3.148438,3.000000,3.148438,3.148438,17556800
1997-09-10,3.230469,3.375000,3.148438,3.332031,3.332031,23131200
1997-09-11,3.312500,3.546875,3.281250,3.460938,3.460938,33902400
1997-09-12,3.539063,3.625000,3.296875,3.371094,3.371094,22862400
1997-09-15,3.312500,3.359375,3.000000,3.011719,3.011719,31624000
1997-09-16,3.015625,3.195313,2.828125,3.195313,3.195313,37563200
1997-09-17,3.218750,3.242188,2.960938,3.054688,3.054688,20712000
1997-09-18,3.070313,3.140625,3.023438,3.109375,3.109375,12360000
1997-09-19,3.093750,3.289063,3.078125,3.210938,3.210938,24308800
1997-09-22,3.257813,3.460938,3.250000,3.351563,3.351563,17758400
1997-09-23,3.382813,3.437500,3.132813,3.167969,3.167969,14896000
1997-09-24,3.195313,3.320313,3.179688,3.218750,3.218750,12670400
1997-09-25,3.234375,3.250000,3.046875,3.128906,3.128906,14795200
1997-09-26,3.156250,3.234375,3.125000,3.140625,3.140625,10222400
1997-09-29,3.156250,3.187500,3.085938,3.167969,3.167969,6649600
1997-09-30,3.164063,3.164063,3.109375,3.132813,3.132813,3744000
1997-10-01,3.140625,3.226563,3.132813,3.195313,3.195313,14475200
1997-10-02,3.195313,3.437500,3.132813,3.437500,3.437500,22676800
1997-10-03,3.437500,3.515625,3.359375,3.453125,3.453125,19518400
1997-10-06,3.453125,3.664063,3.453125,3.640625,3.640625,15339200
1997-10-07,3.609375,3.632813,3.445313,3.484375,3.484375,15825600
1997-10-08,3.578125,3.625000,3.500000,3.546875,3.546875,32020800
1997-10-09,3.468750,3.523438,3.421875,3.468750,3.468750,33960000
1997-10-10,3.375000,3.468750,3.296875,3.300781,3.300781,18844800
1997-10-13,3.320313,3.328125,3.140625,3.195313,3.195313,18051200
1997-10-14,3.226563,3.289063,3.093750,3.187500,3.187500,14172800
1997-10-15,3.171875,3.234375,3.140625,3.218750,3.218750,11564800
1997-10-16,3.234375,3.320313,3.015625,3.039063,3.039063,21169600
1997-10-17,3.015625,3.062500,2.843750,3.031250,3.031250,24849600
1997-10-20,3.046875,3.078125,2.929688,3.054688,3.054688,20217600
1997-10-21,3.109375,3.210938,3.101563,3.195313,3.195313,13385600
1997-10-22,3.273438,3.335938,3.164063,3.308594,3.308594,14001600
1997-10-23,3.171875,3.234375,3.078125,3.160156,3.160156,15209600
1997-10-24,3.234375,3.234375,2.906250,2.972656,2.972656,15764800
1997-10-27,2.937500,2.937500,2.375000,2.375000,2.375000,35051200
1997-10-28,2.132813,2.921875,2.132813,2.695313,2.695313,51822400
1997-10-29,2.781250,2.890625,2.523438,2.578125,2.578125,30163200
1997-10-30,2.460938,2.703125,2.453125,2.605469,2.605469,17641600
1997-10-31,2.695313,2.765625,2.656250,2.740231,2.740231,14144000
1997-11-03,2.812500,2.906250,2.796875,2.880856,2.880856,13121600
1997-11-04,2.851563,3.210938,2.781250,3.187500,3.187500,25473600
1997-11-05,3.179688,3.406250,3.179688,3.351563,3.351563,39339200
1997-11-06,3.312500,3.484375,3.265625,3.296875,3.296875,29057600
1997-11-07,3.062500,3.234375,3.046875,3.093750,3.093750,23028800
1997-11-10,3.101563,3.187500,3.000000,3.039063,3.039063,13699200
1997-11-11,3.070313,3.093750,2.843750,2.875000,2.875000,20819200
1997-11-12,2.796875,2.960938,2.679688,2.718750,2.718750,25264000
1997-11-13,2.820313,2.906250,2.625000,2.855469,2.855469,29244800
1997-11-14,2.875000,3.070313,2.875000,2.992188,2.992188,24700800
1997-11-17,3.117188,3.296875,3.101563,3.250000,3.250000,25088000
1997-11-18,3.226563,3.390625,3.210938,3.234375,3.234375,22524800
1997-11-19,3.179688,3.226563,3.097656,3.164063,3.164063,13123200
1997-11-20,3.203125,3.382813,3.179688,3.351563,3.351563,24377600
1997-11-21,3.382813,3.406250,3.226563,3.304688,3.304688,12600000
1997-11-24,3.281250,3.281250,3.007813,3.031250,3.031250,20104000
1997-11-25,3.140625,3.234375,3.000000,3.175781,3.175781,29675200
1997-11-26,3.234375,3.265625,3.140625,3.179688,3.179688,8777600
1997-11-28,3.195313,3.218750,3.171875,3.195313,3.195313,2153600
1997-12-01,3.218750,3.398438,3.203125,3.375000,3.375000,16558400
1997-12-02,3.359375,3.429688,3.250000,3.312500,3.312500,15512000
1997-12-03,3.281250,3.390625,3.242188,3.367188,3.367188,9440000
1997-12-04,3.398438,3.437500,3.335938,3.363281,3.363281,10012800
1997-12-05,3.347656,3.523438,3.289063,3.515625,3.515625,25928000
1997-12-08,3.531250,3.734375,3.476563,3.726563,3.726563,30825600
1997-12-09,3.679688,3.812500,3.625000,3.707031,3.707031,27473600
1997-12-10,3.656250,3.710938,3.562500,3.679688,3.679688,14763200
1997-12-11,3.562500,3.679688,3.523438,3.664063,3.664063,17451200
1997-12-12,3.671875,3.750000,3.562500,3.718750,3.718750,14584000
1997-12-15,3.750000,3.765625,3.531250,3.625000,3.625000,14430400
1997-12-16,3.617188,3.781250,3.570313,3.769531,3.769531,13553600
1997-12-17,3.781250,3.843750,3.718750,3.722656,3.722656,10875200
1997-12-18,3.718750,3.718750,3.578125,3.632813,3.632813,12747200
1997-12-19,3.593750,3.937500,3.515625,3.867188,3.867188,29721600
1997-12-22,3.867188,4.085938,3.867188,4.027344,4.027344,23824000
1997-12-23,4.000000,4.242188,3.976563,4.070313,4.070313,22833600
1997-12-24,4.074219,4.125000,4.031250,4.031250,4.031250,6185600
1997-12-26,4.019531,4.148438,4.015625,4.132813,4.132813,9587200
1997-12-29,4.187500,4.312500,4.148438,4.308594,4.308594,15100800
1997-12-30,4.304688,4.437500,4.250000,4.437500,4.437500,16508800
1997-12-31,4.414063,4.429688,4.320313,4.328125,4.328125,15467200
1998-01-02,4.328125,4.343750,4.062500,4.140625,4.140625,17828800
1998-01-05,4.023438,4.085938,3.914063,3.933594,3.933594,26601600
1998-01-06,3.859375,4.070313,3.828125,4.000000,4.000000,28688000
1998-01-07,3.921875,4.054688,3.921875,3.988281,3.988281,15758400
1998-01-08,4.000000,4.123044,3.921875,4.015625,4.015625,21748800
1998-01-09,4.031250,4.078125,3.796875,3.867188,3.867188,30296000
1998-01-12,3.750000,4.007813,3.687500,3.906250,3.906250,38262400
1998-01-13,4.046875,4.265625,4.035156,4.111325,4.111325,52755200
1998-01-14,4.171875,4.242188,4.125000,4.187500,4.187500,26678400
1998-01-15,4.078125,4.171875,4.000000,4.083981,4.083981,27916800
1998-01-16,4.125000,4.218750,4.062500,4.078125,4.078125,18288000
1998-01-20,4.078125,4.078125,3.937500,4.031250,4.031250,35096000
1998-01-21,4.007813,4.031250,3.929688,3.992188,3.992188,18336000
1998-01-22,3.960938,4.000000,3.890625,3.894531,3.894531,11137600
1998-01-23,3.921875,3.933594,3.820313,3.859375,3.859375,10700800
1998-01-26,3.898438,3.906250,3.718750,3.742188,3.742188,10534400
1998-01-27,3.765625,3.828125,3.750000,3.753906,3.753906,15113600
1998-01-28,3.789063,3.789063,3.613281,3.628906,3.628906,29641600
1998-01-29,3.625000,3.890625,3.601563,3.867188,3.867188,33180800
1998-01-30,3.937500,4.031250,3.828125,3.960938,3.960938,32681600
1998-02-02,4.015625,4.132813,3.992188,4.125000,4.125000,24558400
1998-02-03,4.109375,4.132813,3.992188,4.052731,4.052731,33953600
1998-02-04,4.039063,4.039063,3.949219,3.980469,3.980469,13721600
1998-02-05,4.023438,4.054688,3.851563,3.890625,3.890625,18446400
1998-02-06,3.882813,4.039063,3.851563,4.015625,4.015625,14387200
1998-02-09,4.046875,4.078125,3.937500,3.993162,3.993162,16547200
1998-02-10,4.000000,4.093750,3.937500,4.039063,4.039063,20785600
1998-02-11,4.039063,4.109375,4.000000,4.068356,4.068356,11950400
1998-02-12,4.015625,4.078125,3.984375,4.070313,4.070313,9059200
1998-02-13,4.046875,4.171875,4.023438,4.046875,4.046875,13256000
1998-02-17,4.031250,4.062500,3.968750,4.015625,4.015625,11427200
1998-02-18,4.015625,4.046875,3.914063,3.968750,3.968750,11323200
1998-02-19,3.968750,4.101563,3.953125,4.001950,4.001950,13486400
1998-02-20,4.031250,4.046875,3.851563,4.007813,4.007813,12539200
1998-02-23,4.023438,4.039063,3.933594,3.955075,3.955075,11187200
1998-02-24,3.992188,3.992188,3.820313,3.845700,3.845700,14260800
1998-02-25,3.867188,3.890625,3.804688,3.857419,3.857419,20102400
1998-02-26,3.875000,4.281250,3.859375,4.257813,4.257813,39760000
1998-02-27,4.265625,4.640625,4.234375,4.574219,4.574219,99968000
1998-03-02,4.671875,4.683594,4.484375,4.574219,4.574219,32520000
1998-03-03,4.500000,4.625000,4.421875,4.558594,4.558594,22182400
1998-03-04,4.484375,4.531250,4.421875,4.476563,4.476563,22900800
1998-03-05,4.343750,4.726563,4.296875,4.707031,4.707031,53112000
1998-03-06,4.796875,5.109375,4.734375,5.035156,5.035156,52110400
1998-03-09,5.109375,5.531250,5.101563,5.488281,5.488281,66227200
1998-03-10,5.656250,5.773438,5.269531,5.468750,5.468750,105219200
1998-03-11,5.335938,5.421875,5.187500,5.265625,5.265625,66195200
1998-03-12,5.242188,5.312500,5.078125,5.125000,5.125000,69780800
1998-03-13,5.140625,5.312500,5.093750,5.210938,5.210938,31441600
1998-03-16,5.343750,5.406250,5.281250,5.312500,5.312500,24947200
1998-03-17,5.320313,5.328125,5.164063,5.240231,5.240231,14350400
1998-03-18,5.156250,5.429688,5.101563,5.392575,5.392575,41563200
1998-03-19,5.359375,5.464844,5.242188,5.242188,5.242188,33745600
1998-03-20,5.273438,5.308594,5.171875,5.197262,5.197262,18041600
1998-03-23,5.156250,5.238281,5.148438,5.187500,5.187500,10816000
1998-03-24,5.171875,5.437500,5.171875,5.425781,5.425781,28342400
1998-03-25,5.507813,5.621094,5.460938,5.515625,5.515625,38163200
1998-03-26,5.507813,5.656250,5.458981,5.558594,5.558594,27820800
1998-03-27,5.636719,5.761719,5.546875,5.664063,5.664063,28928000
1998-03-30,5.726563,5.890625,5.695313,5.816406,5.816406,30766400
1998-03-31,5.875000,5.882813,5.734375,5.777344,5.777344,19136000
1998-04-01,5.777344,6.113281,5.679688,6.113281,6.113281,39004800
1998-04-02,6.187500,6.535156,6.156250,6.492188,6.492188,64988800
1998-04-03,6.566406,6.609375,6.312500,6.402344,6.402344,58545600
1998-04-06,6.484375,6.484375,6.156250,6.191406,6.191406,47131200
1998-04-07,6.156250,6.156250,5.734375,5.828125,5.828125,81860800
1998-04-08,5.875000,6.171875,5.867188,6.078125,6.078125,93374400
1998-04-09,6.734375,7.171875,6.625000,7.156250,7.156250,176787200
1998-04-13,7.031250,7.289063,6.800781,7.062500,7.062500,114054400
1998-04-14,7.046875,7.390625,6.976563,7.179688,7.179688,77942400
1998-04-15,7.296875,7.414063,7.238281,7.386719,7.386719,40574400
1998-04-16,7.437500,8.101563,7.312500,8.024412,8.024412,146963200
1998-04-17,7.726563,7.843750,7.507813,7.593750,7.593750,93952000
1998-04-20,7.640625,8.054688,7.539063,7.859375,7.859375,67028800
1998-04-21,7.921875,8.062500,7.625000,7.705075,7.705075,51115200
1998-04-22,7.765625,7.789063,7.320313,7.398438,7.398438,57531200
1998-04-23,7.226563,7.250000,6.941406,7.011719,7.011719,82996800
1998-04-24,7.117188,7.359375,6.945313,7.171875,7.171875,78507200
1998-04-27,6.976563,7.046875,6.832031,7.007813,7.007813,67828800
1998-04-28,7.324219,7.460938,7.203125,7.406250,7.406250,75300800
1998-04-29,7.375000,7.468750,7.285156,7.390625,7.390625,38995200
1998-04-30,7.515625,7.601563,7.375000,7.433594,7.433594,35766400
1998-05-01,7.460938,7.460938,7.296875,7.414063,7.414063,20518400
1998-05-04,7.503906,7.625000,7.453125,7.554688,7.554688,15729600
1998-05-05,7.398438,7.523438,7.281250,7.296875,7.296875,23513600
1998-05-06,7.320313,7.328125,7.140625,7.191406,7.191406,22596800
1998-05-07,7.187500,7.398438,7.156250,7.199219,7.199219,26564800
1998-05-08,7.171875,7.359375,7.105469,7.359375,7.359375,26433600
1998-05-11,7.414063,7.429688,7.125000,7.136719,7.136719,27179200
1998-05-12,7.093750,7.281250,7.035156,7.230469,7.230469,33731200
1998-05-13,7.250000,7.753906,7.203125,7.750000,7.750000,60171200
1998-05-14,7.691406,7.898438,7.515625,7.515625,7.515625,57985600
1998-05-15,7.625000,7.687500,7.359375,7.378906,7.378906,25552000
1998-05-18,7.429688,7.464844,7.136719,7.285156,7.285156,33620800
1998-05-19,7.359375,7.484375,7.296875,7.384762,7.384762,23678400
1998-05-20,7.460938,7.460938,7.234375,7.304688,7.304688,15969600
1998-05-21,7.406250,7.406250,7.234375,7.312500,7.312500,18348800
1998-05-22,7.273438,7.296875,7.062500,7.148438,7.148438,15713600
1998-05-26,7.195313,7.218750,6.757813,6.765625,6.765625,46486400
1998-05-27,6.656250,7.203125,6.648438,7.195313,7.195313,103491200
1998-05-28,7.132813,7.187500,6.867188,6.875000,6.875000,47590400
1998-05-29,6.906250,7.000000,6.792969,6.843750,6.843750,36216000
1998-06-01,6.765625,6.828125,6.343750,6.523438,6.523438,72801600
1998-06-02,6.562500,6.609375,6.195313,6.550781,6.550781,114208000
1998-06-03,6.609375,6.609375,6.351563,6.375000,6.375000,71544000
1998-06-04,6.375000,6.507813,6.281250,6.414063,6.414063,49841600
1998-06-05,6.406250,6.625000,6.343750,6.562500,6.562500,37105600
1998-06-08,6.562500,6.843750,6.554688,6.835938,6.835938,33300800
1998-06-09,6.941406,7.406250,6.859375,7.367188,7.367188,95710400
1998-06-10,7.312500,7.453125,7.148438,7.152344,7.152344,69064000
1998-06-11,7.195313,7.296875,7.089844,7.203125,7.203125,51329600
1998-06-12,7.250000,7.250000,6.937500,7.113281,7.113281,48417600
1998-06-15,6.992188,7.273438,6.968750,7.203125,7.203125,53963200
1998-06-16,7.273438,7.648438,7.156250,7.621094,7.621094,63780800
1998-06-17,7.789063,8.226563,7.765625,8.164063,8.164063,130657600
1998-06-18,8.296875,8.523438,7.976563,7.984375,7.984375,81768000
1998-06-19,7.945313,8.156250,7.796875,8.078125,8.078125,59110400
1998-06-22,8.062500,8.773438,8.031250,8.722656,8.722656,81326400
1998-06-23,8.703125,9.398438,8.625000,9.253906,9.253906,122494400
1998-06-24,9.308594,9.500000,8.937500,9.296875,9.296875,96169600
1998-06-25,9.281250,9.765625,9.187500,9.515625,9.515625,99208000
1998-06-26,9.421875,9.601563,9.156250,9.292969,9.292969,67873600
1998-06-29,9.343750,9.671875,9.335938,9.652344,9.652344,51121600
1998-06-30,9.671875,9.984375,9.601563,9.843750,9.843750,63260800
1998-07-01,10.007813,10.625000,10.000000,10.617188,10.617188,73984000
1998-07-02,10.843750,11.218750,10.375000,10.804688,10.804688,119217600
1998-07-06,11.179688,12.500000,11.058594,12.453125,12.453125,216720000
1998-07-07,12.921875,12.968750,11.875000,11.937500,11.937500,198368000
1998-07-08,11.562500,12.406250,10.937500,11.636719,11.636719,224849600
1998-07-09,12.484375,12.750000,11.500000,11.500000,11.500000,207491200
1998-07-10,11.335938,11.632813,11.101563,11.406250,11.406250,112896000
1998-07-13,11.101563,11.789063,11.062500,11.773438,11.773438,85763200
1998-07-14,11.796875,11.960938,11.500000,11.656250,11.656250,59248000
1998-07-15,11.710938,11.710938,11.320313,11.359375,11.359375,36636800
1998-07-16,11.398438,11.718750,11.226563,11.667969,11.667969,51748800
1998-07-17,11.609375,11.835938,11.414063,11.609375,11.609375,46369600
1998-07-20,11.656250,12.328125,11.546875,12.269531,12.269531,63902400
1998-07-21,12.289063,12.964844,11.714844,11.812500,11.812500,115219200
1998-07-22,11.875000,12.289063,11.781250,12.109375,12.109375,68036800
1998-07-23,12.132813,12.421875,11.796875,11.835938,11.835938,43572800
1998-07-24,11.968750,12.062500,11.101563,11.382813,11.382813,87747200
1998-07-27,11.171875,11.843750,10.875000,11.824219,11.824219,83516800
1998-07-28,11.781250,11.906250,11.390625,11.453125,11.453125,61753600
1998-07-29,11.609375,11.664063,10.828125,10.847656,10.847656,66641600
1998-07-30,11.085938,11.585938,10.656250,11.417969,11.417969,96512000
1998-07-31,11.484375,11.562500,11.156250,11.371094,11.371094,63755200
1998-08-03,11.250000,11.312500,10.765625,10.804688,10.804688,34780000
1998-08-04,11.078125,11.218750,10.625000,10.640625,10.640625,42092800
1998-08-05,10.734375,10.968750,9.875000,10.484375,10.484375,54120000
1998-08-06,10.250000,11.046875,10.148438,10.921875,10.921875,36946400
1998-08-07,11.078125,11.656250,10.914063,11.453125,11.453125,51663200
1998-08-10,11.500000,11.750000,11.093750,11.750000,11.750000,34913600
1998-08-11,11.210938,11.781250,11.046875,11.421875,11.421875,50840800
1998-08-12,11.687500,12.039063,11.625000,11.921875,11.921875,42176000
1998-08-13,11.890625,12.093750,11.578125,11.593750,11.593750,26801600
1998-08-14,11.750000,11.796875,11.250000,11.468750,11.468750,25372000
1998-08-17,11.359375,11.562500,11.250000,11.500000,11.500000,20256800
1998-08-18,11.609375,12.250000,11.578125,12.156250,12.156250,42212800
1998-08-19,12.359375,12.500000,11.859375,11.906250,11.906250,33248000
1998-08-20,11.921875,12.234375,11.843750,12.187500,12.187500,23878400
1998-08-21,12.015625,12.171875,11.656250,11.921875,11.921875,30939200
1998-08-24,12.000000,12.250000,11.953125,12.210938,12.210938,21888000
1998-08-25,12.367188,12.406250,11.968750,12.187500,12.187500,19356800
1998-08-26,11.968750,12.117188,11.765625,12.109375,12.109375,22042400
1998-08-27,11.812500,11.875000,11.343750,11.382813,11.382813,39107200
1998-08-28,11.359375,11.546875,10.218750,10.382813,10.382813,62074400
1998-08-31,10.375000,10.515625,8.312500,8.625000,8.625000,77024800
1998-09-01,8.265625,9.562500,7.375000,9.031250,9.031250,96534400
1998-09-02,9.625000,10.492188,9.328125,9.718750,9.718750,78278400
1998-09-03,9.250000,9.734375,8.937500,9.398438,9.398438,63705600
1998-09-04,9.617188,9.765625,9.062500,9.421875,9.421875,33694400
1998-09-08,10.359375,10.625000,9.890625,10.578125,10.578125,54988000
1998-09-09,10.453125,10.726563,9.968750,10.000000,10.000000,38174400
1998-09-10,9.593750,10.062500,9.125000,9.984375,9.984375,61207200
1998-09-11,10.062500,10.234375,9.593750,9.984375,9.984375,45369600
1998-09-14,10.281250,10.609375,10.203125,10.484375,10.484375,35400800
1998-09-15,10.328125,10.562500,10.250000,10.546875,10.546875,33928800
1998-09-16,10.726563,11.718750,10.625000,11.671875,11.671875,97708000
1998-09-17,11.171875,11.718750,11.164063,11.257813,11.257813,103429600
1998-09-18,11.250000,11.546875,11.234375,11.304688,11.304688,40134400
1998-09-21,10.906250,12.125000,10.851563,12.039063,12.039063,61918400
1998-09-22,12.281250,13.125000,12.250000,12.867188,12.867188,88165600
1998-09-23,13.093750,14.750000,13.062500,14.734375,14.734375,121677600
1998-09-24,14.843750,15.671875,14.093750,14.406250,14.406250,119551200
1998-09-25,14.000000,15.156250,13.906250,15.125000,15.125000,80061600
1998-09-28,15.750000,16.187500,15.226563,15.992188,15.992188,85004800
1998-09-29,16.093750,16.828125,15.593750,16.437500,16.437500,87640800
1998-09-30,16.121088,16.523438,15.593750,16.187500,16.187500,83716800
1998-10-01,15.421875,15.796875,14.085938,14.117188,14.117188,122895200
1998-10-02,14.445313,15.937500,14.218750,15.875000,15.875000,135588000
1998-10-05,15.765625,16.195313,14.632813,15.726563,15.726563,130274400
1998-10-06,16.390625,16.515625,15.218750,15.601563,15.601563,123448000
1998-10-07,15.335938,15.375000,13.812500,14.296875,14.296875,137588800
1998-10-08,13.015625,13.562500,12.187500,13.101563,13.101563,172985600
1998-10-09,13.484375,13.750000,12.750000,13.203125,13.203125,74280000
1998-10-12,13.812500,14.750000,13.585938,14.304688,14.304688,103243200
1998-10-13,14.179688,14.296875,13.703125,13.742188,13.742188,51824000
1998-10-14,13.562500,14.562500,13.562500,13.984375,13.984375,59580000
1998-10-15,14.109375,15.015625,13.781250,14.921875,14.921875,71287200
1998-10-16,15.015625,15.250000,14.390625,14.453125,14.453125,54677600
1998-10-19,14.328125,14.906250,14.187500,14.687500,14.687500,42296000
1998-10-20,15.031250,15.140625,14.421875,14.437500,14.437500,48166400
1998-10-21,14.703125,14.984375,14.457025,14.968750,14.968750,35041600
1998-10-22,14.867188,15.531250,14.656250,15.265625,15.265625,60401600
1998-10-23,15.210938,15.500000,15.062500,15.265625,15.265625,28093600
1998-10-26,15.406250,16.000000,15.406250,15.992188,15.992188,40869600
1998-10-27,16.312500,16.515625,15.437500,15.468750,15.468750,47267200
1998-10-28,15.453125,16.000000,15.125000,15.843750,15.843750,42363200
1998-10-29,16.031250,16.406250,15.750000,16.398438,16.398438,41452000
1998-10-30,16.234375,16.640625,16.156250,16.355463,16.355463,39603200
1998-11-02,16.632813,18.218750,16.468750,18.179688,18.179688,82252800
1998-11-03,18.093750,18.625000,17.632813,17.765625,17.765625,88573600
1998-11-04,18.453125,18.937500,18.187500,18.921875,18.921875,75329600
1998-11-05,18.726563,19.257813,18.726563,18.960938,18.960938,82464800
1998-11-06,18.992188,19.289063,18.875000,19.195313,19.195313,39160800
1998-11-09,19.250000,20.671875,19.234375,20.593750,20.593750,73947200
1998-11-10,21.062500,23.203125,21.046875,22.070313,22.070313,104089600
1998-11-11,22.187500,22.734375,20.500000,20.625000,20.625000,96396800
1998-11-12,20.437500,21.921875,20.406250,21.656250,21.656250,76820000
1998-11-13,22.109375,22.210938,20.562500,21.000000,21.000000,59292800
1998-11-16,21.718750,21.875000,20.968750,21.656250,21.656250,47338400
1998-11-17,21.460938,22.687500,21.031250,22.093750,22.093750,65894400
1998-11-18,22.421875,23.781250,22.304688,23.765625,23.765625,80068000
1998-11-19,24.242188,24.796875,23.062500,23.234375,23.234375,83217600
1998-11-20,24.125000,24.140625,22.687500,23.875000,23.875000,74551200
1998-11-23,24.609375,27.750000,23.875000,27.679688,27.679688,92021600
1998-11-24,27.000000,28.468750,25.375000,26.281250,26.281250,132245600
1998-11-25,26.343750,27.000000,25.406250,26.234375,26.234375,56652000
1998-11-27,26.601563,27.156250,26.468750,27.117188,27.117188,16614400
1998-11-30,27.203125,27.203125,23.937500,24.000000,24.000000,56202400
1998-12-01,22.984375,25.921875,22.750000,25.781250,25.781250,98687200
1998-12-02,25.601563,25.796875,24.375000,24.632813,24.632813,63236800
1998-12-03,24.718750,25.343750,22.828125,22.968750,22.968750,67581600
1998-12-04,23.914063,24.109375,22.500000,23.718750,23.718750,73370400
1998-12-07,24.062500,24.250000,23.328125,23.820313,23.820313,30444000
1998-12-08,23.687500,25.000000,23.421875,24.812500,24.812500,50747200
1998-12-09,25.000000,25.812500,24.257813,24.734375,24.734375,63276000
1998-12-10,24.804688,25.250000,23.578125,24.093750,24.093750,47940800
1998-12-11,23.890625,24.718750,23.843750,24.460938,24.460938,42621600
1998-12-14,24.046875,24.609375,23.695313,23.906250,23.906250,40104000
1998-12-15,24.312500,24.796875,24.187500,24.750000,24.750000,32498400
1998-12-16,25.515625,26.312500,25.156250,25.640625,25.640625,55996800
1998-12-17,25.015625,26.687500,24.937500,25.687500,25.687500,54028800
1998-12-18,26.453125,26.890625,25.906250,26.539063,26.539063,37685600
1998-12-21,27.625000,31.359375,27.250000,30.937500,30.937500,68780000
1998-12-22,31.562500,31.734375,29.125000,30.625000,30.625000,63622400
1998-12-23,31.406250,31.671875,30.687500,31.250000,31.250000,29891200
1998-12-24,30.765625,31.375000,30.500000,30.890625,30.890625,9348800
1998-12-28,31.687500,35.750000,31.250000,34.437500,34.437500,60430400
1998-12-29,34.421875,34.421875,32.921875,33.750000,33.750000,41398400
1998-12-30,33.250000,33.921875,30.125000,30.578125,30.578125,59023200
1998-12-31,30.234375,31.875000,29.000000,29.617188,29.617188,37516800
1999-01-04,30.250000,31.500000,30.000000,31.000000,31.000000,33860000
1999-01-05,30.320313,32.625000,29.960938,32.234375,32.234375,43924800
1999-01-06,33.500000,37.375000,33.375000,36.375000,36.375000,71474400
1999-01-07,35.500000,40.718750,35.375000,40.000000,40.000000,77141600
1999-01-08,43.250000,44.671875,41.250000,42.953125,42.953125,61498400
1999-01-11,45.992188,55.625000,45.437500,51.921875,51.921875,80186400
1999-01-12,54.828125,55.375000,46.250000,50.250000,50.250000,104092000
1999-01-13,49.890625,50.750000,41.500000,46.000000,46.000000,97093600
1999-01-14,46.484375,48.250000,42.875000,42.992188,42.992188,56675200
1999-01-15,43.117188,44.312500,38.000000,39.625000,39.625000,83922400
1999-01-19,42.484375,43.125000,39.742188,40.375000,40.375000,34664800
1999-01-20,40.804688,41.343750,35.625000,35.898438,35.898438,43305600
1999-01-21,34.257813,35.000000,31.171875,33.125000,33.125000,89164000
1999-01-22,31.625000,36.375000,31.625000,35.750000,35.750000,73045600
1999-01-25,37.093750,39.125000,35.625000,39.000000,39.000000,49068800
1999-01-26,39.937500,44.015625,39.875000,43.906250,43.906250,66213600
1999-01-27,46.546875,47.648438,41.250000,41.984375,41.984375,54030400
1999-01-28,43.609375,46.125000,41.875000,45.968750,45.968750,52440000
1999-01-29,45.000000,45.625000,43.125000,44.281250,44.281250,33787200
1999-02-01,44.625000,44.875000,41.625000,41.945313,41.945313,39826400
1999-02-02,41.968750,42.250000,38.578125,40.367188,40.367188,49295200
1999-02-03,40.390625,45.000000,40.390625,44.757813,44.757813,45029600
1999-02-04,44.562500,44.875000,41.875000,42.125000,42.125000,48534400
1999-02-05,43.015625,44.125000,41.875000,43.187500,43.187500,49096000
1999-02-08,43.187500,43.375000,38.656250,39.656250,39.656250,38321600
1999-02-09,39.343750,39.468750,34.750000,35.187500,35.187500,41688400
1999-02-10,34.875000,37.156250,32.234375,35.593750,35.593750,47980400
1999-02-11,37.250000,39.750000,36.375000,39.625000,39.625000,32700800
1999-02-12,38.640625,38.750000,37.000000,37.750000,37.750000,24872000
1999-02-16,38.125000,39.000000,32.984375,33.343750,33.343750,58302000
1999-02-17,33.625000,34.812500,31.375000,32.406250,32.406250,38656400
1999-02-18,33.500000,33.625000,31.000000,32.218750,32.218750,35252000
1999-02-19,33.390625,34.359375,32.500000,33.828125,33.828125,33774000
1999-02-22,34.250000,37.500000,32.968750,36.437500,36.437500,33567600
1999-02-23,37.125000,39.312500,37.000000,38.218750,38.218750,45360800
1999-02-24,39.125000,40.125000,37.375000,37.546875,37.546875,35772800
1999-02-25,37.390625,38.875000,36.125000,38.843750,38.843750,32932400
1999-02-26,38.875000,39.593750,37.500000,38.375000,38.375000,29360000
1999-03-01,38.390625,41.250000,37.281250,40.031250,40.031250,39223200
1999-03-02,40.343750,41.250000,38.218750,38.296875,38.296875,29651200
1999-03-03,38.718750,39.343750,37.156250,38.359375,38.359375,25215200
1999-03-04,39.187500,39.500000,36.531250,37.875000,37.875000,23268000
1999-03-05,39.593750,40.500000,39.000000,39.953125,39.953125,32062800
1999-03-08,40.589825,43.296875,40.000000,42.609375,42.609375,36341600
1999-03-09,42.703125,43.250000,40.937500,41.828125,41.828125,25655600
1999-03-10,43.250000,43.625000,42.250000,43.406250,43.406250,22300000
1999-03-11,44.468750,45.843750,44.015625,44.750000,44.750000,34746000
1999-03-12,44.687500,44.781250,42.750000,44.000000,44.000000,18828400
1999-03-15,44.250000,44.921875,43.187500,44.859375,44.859375,13907200
1999-03-16,45.078125,45.125000,43.687500,43.718750,43.718750,12136000
1999-03-17,43.531250,43.562500,42.500000,43.031250,43.031250,11562800
1999-03-18,42.515625,44.000000,42.468750,43.828125,43.828125,13022800
1999-03-19,44.187500,44.562500,42.437500,42.500000,42.500000,13999600
1999-03-22,42.718750,44.500000,41.156250,41.250000,41.250000,16258800
1999-03-23,40.500000,41.000000,38.796875,38.875000,38.875000,20626000
1999-03-24,38.093750,40.125000,36.781250,40.125000,40.125000,22805600
1999-03-25,41.984375,44.812500,41.250000,44.750000,44.750000,32558000
1999-03-26,43.593750,44.312500,42.500000,42.843750,42.843750,23164800
1999-03-29,44.250000,44.687500,42.937500,44.000000,44.000000,15764000
1999-03-30,43.843750,46.468750,43.031250,43.078125,43.078125,38020000
1999-03-31,44.000000,45.375000,42.000000,42.093750,42.093750,32183600
1999-04-01,44.750000,45.250000,42.000000,44.937500,44.937500,40504800
1999-04-05,46.562500,55.250000,46.250000,54.781250,54.781250,82058000
1999-04-06,55.000000,61.000000,52.500000,53.718750,53.718750,100101200
1999-04-07,57.250000,57.750000,50.750000,52.109375,52.109375,69661600
1999-04-08,54.250000,54.250000,49.234375,51.671875,51.671875,56466800
1999-04-09,51.171875,52.750000,50.500000,51.750000,51.750000,24151600
1999-04-12,48.281250,51.515625,48.218750,50.734375,50.734375,39976800
1999-04-13,51.187500,54.093750,50.500000,50.750000,50.750000,29236400
1999-04-14,51.062500,52.000000,47.375000,47.750000,47.750000,25956800
1999-04-15,47.437500,50.015625,43.000000,48.656250,48.656250,45416800
1999-04-16,48.875000,49.250000,46.265625,47.296875,47.296875,23426400
1999-04-19,47.218750,47.750000,40.312500,40.921875,40.921875,42021200
1999-04-20,40.312500,43.500000,38.750000,42.750000,42.750000,42084400
1999-04-21,43.656250,45.000000,42.500000,43.718750,43.718750,24596400
1999-04-22,45.671875,46.250000,43.859375,46.000000,46.000000,25307200
1999-04-23,45.843750,48.031250,45.125000,46.921875,46.921875,19913600
1999-04-26,47.281250,48.625000,46.812500,48.062500,48.062500,13915600
1999-04-27,48.734375,49.390625,45.375000,46.125000,46.125000,20129200
1999-04-28,45.687500,46.234375,42.750000,43.375000,43.375000,18786800
1999-04-29,42.031250,43.875000,41.156250,43.750000,43.750000,25935200
1999-04-30,45.015625,45.500000,42.000000,43.671875,43.671875,14938800
1999-05-03,42.781250,43.312500,40.250000,40.640625,40.640625,20424000
1999-05-04,40.562500,42.562500,39.500000,39.812500,39.812500,25120000
1999-05-05,40.093750,40.531250,37.218750,40.328125,40.328125,39324000
1999-05-06,40.500000,40.625000,37.500000,37.968750,37.968750,23365200
1999-05-07,37.906250,39.375000,36.250000,36.859375,36.859375,27588800
1999-05-10,37.062500,39.203125,36.875000,38.921875,38.921875,25932800
1999-05-11,41.093750,43.828125,40.218750,43.500000,43.500000,42985600
1999-05-12,42.718750,43.375000,41.218750,42.484375,42.484375,22728400
1999-05-13,42.875000,43.375000,39.968750,40.093750,40.093750,18511600
1999-05-14,38.609375,40.437500,38.250000,39.343750,39.343750,23758400
1999-05-17,38.765625,40.687500,37.515625,40.453125,40.453125,26168000
1999-05-18,39.843750,40.375000,38.828125,39.203125,39.203125,18851600
1999-05-19,39.734375,40.281250,38.812500,39.562500,39.562500,16702000
1999-05-20,39.593750,39.781250,37.750000,37.875000,37.875000,10570000
1999-05-21,38.312500,38.328125,37.187500,37.828125,37.828125,14906400
1999-05-24,37.343750,37.562500,33.968750,34.468750,34.468750,30008400
1999-05-25,34.609375,35.281250,31.656250,31.734375,31.734375,37816800
1999-05-26,32.500000,35.312500,30.125000,35.218750,35.218750,52978400
1999-05-27,34.750000,35.406250,33.218750,33.343750,33.343750,30726800
1999-05-28,33.625000,37.062500,32.875000,37.000000,37.000000,28661200
1999-06-01,36.328125,37.500000,33.765625,34.546875,34.546875,31400400
1999-06-02,34.062500,37.250000,32.531250,35.625000,35.625000,45042400
1999-06-03,35.625000,36.125000,33.375000,33.843750,33.843750,30196000
1999-06-04,34.031250,36.937500,33.500000,36.859375,36.859375,36142000
1999-06-07,36.656250,39.437500,36.062500,37.968750,37.968750,36826000
1999-06-08,38.093750,38.375000,35.632801,35.828125,35.828125,27203600
1999-06-09,36.218750,37.296875,35.765625,36.593750,36.593750,23841200
1999-06-10,35.921875,36.968750,35.187500,36.187500,36.187500,20716000
1999-06-11,36.093750,36.625000,33.562500,33.812500,33.812500,25944000
1999-06-14,33.671875,33.718750,29.500000,29.812500,29.812500,50811600
1999-06-15,29.406250,32.406250,29.406250,31.312500,31.312500,49996000
1999-06-16,33.312500,35.875000,31.296875,35.406250,35.406250,59128800
1999-06-17,34.906250,37.484375,34.312500,35.562500,35.562500,48852400
1999-06-18,35.343750,36.375000,35.125000,36.109375,36.109375,17448800
1999-06-21,37.125000,40.125000,37.000000,39.718750,39.718750,50007600
1999-06-22,39.343750,41.531250,37.625000,38.125000,38.125000,50848000
1999-06-23,37.437500,39.125000,36.562500,38.875000,38.875000,42335200
1999-06-24,38.750000,38.921875,36.750000,37.750000,37.750000,28072800
1999-06-25,38.187500,38.468750,36.250000,36.718750,36.718750,21633200
1999-06-28,36.890625,39.125000,36.890625,39.125000,39.125000,38500400
1999-06-29,38.953125,41.078125,38.250000,40.000000,40.000000,45476000
1999-06-30,39.968750,44.593750,39.453125,43.062500,43.062500,59339600
1999-07-01,43.593750,44.968750,42.953125,44.312500,44.312500,46766800
1999-07-02,44.250000,44.718750,43.125000,44.531250,44.531250,29583200
1999-07-06,45.625000,47.312500,43.125000,43.781250,43.781250,62996800
1999-07-07,43.062500,43.500000,41.250000,41.765625,41.765625,67031200
1999-07-08,43.453125,43.812500,40.500000,41.109375,41.109375,67836800
1999-07-09,41.359375,41.750000,39.750000,40.000000,40.000000,28462000
1999-07-12,39.875000,39.937500,37.500000,37.562500,37.562500,47432400
1999-07-13,36.968750,39.500000,36.250000,39.234375,39.234375,47375200
1999-07-14,39.937500,40.375000,39.218750,39.859375,39.859375,36978400
1999-07-15,40.125000,40.437500,38.250000,38.609375,38.609375,24413600
1999-07-16,38.437500,38.875000,37.468750,37.562500,37.562500,20528000
1999-07-19,37.718750,38.125000,36.875000,37.375000,37.375000,25438400
1999-07-20,37.031250,37.625000,35.437500,35.531250,35.531250,24332400
1999-07-21,35.718750,38.125000,35.562500,37.968750,37.968750,32751200
1999-07-22,37.078125,37.875000,35.765625,36.281250,36.281250,39331200
1999-07-23,36.640625,37.031250,35.890625,36.437500,36.437500,19178800
1999-07-26,35.375000,35.968750,33.000000,33.578125,33.578125,41694400
1999-07-27,34.531250,35.125000,32.765625,32.828125,32.828125,39426000
1999-07-28,33.359375,35.804676,32.875000,35.750000,35.750000,46910800
1999-07-29,34.781250,35.000000,33.500000,34.250000,34.250000,42611200
1999-07-30,34.437500,35.125000,33.375000,34.109375,34.109375,25167200
1999-08-02,33.765625,34.937500,33.000000,33.078125,33.078125,24568000
1999-08-03,33.609375,33.609375,30.718750,31.343750,31.343750,60916800
1999-08-04,31.250000,31.937500,29.937500,30.250000,30.250000,45760800
1999-08-05,30.031250,32.406250,27.500000,32.093750,32.093750,93246000
1999-08-06,32.781250,34.000000,31.437500,31.734375,31.734375,58423200
1999-08-09,32.031250,32.218750,30.003901,30.296875,30.296875,30964400
1999-08-10,30.187500,32.187500,29.000000,31.875000,31.875000,59756000
1999-08-11,32.562500,32.906250,30.640625,32.015625,32.015625,47123600
1999-08-12,32.000000,33.312500,31.640625,32.093750,32.093750,31806800
1999-08-13,33.093750,33.500000,32.437500,33.203125,33.203125,24487600
1999-08-16,33.000000,33.843750,32.687500,33.625000,33.625000,20766000
1999-08-17,34.093750,34.875000,33.812500,34.718750,34.718750,29511600
1999-08-18,35.812500,37.375000,35.750000,36.265625,36.265625,41488000
1999-08-19,35.375000,35.875000,34.500000,34.796875,34.796875,31132400
1999-08-20,34.906250,36.328125,34.625000,36.250000,36.250000,20089600
1999-08-23,36.750000,38.375000,36.718750,38.031250,38.031250,42162000
1999-08-24,37.484375,39.875000,37.468750,38.234375,38.234375,46909600
1999-08-25,38.687500,39.765625,38.375000,39.640625,39.640625,25081200
1999-08-26,39.375000,40.125000,38.093750,38.171875,38.171875,23626800
1999-08-27,38.343750,38.375000,36.812500,37.250000,37.250000,20174400
1999-08-30,37.125000,37.437500,35.640625,35.953125,35.953125,17183600
1999-08-31,35.609375,37.062500,34.812500,36.875000,36.875000,42270800
1999-09-01,37.187500,37.343750,35.578125,35.828125,35.828125,17971600
1999-09-02,35.062500,36.128899,34.843750,35.390625,35.390625,21898800
1999-09-03,36.906250,38.765625,36.718750,38.750000,38.750000,33040800
1999-09-07,38.390625,39.250000,38.015625,38.750000,38.750000,24489600
1999-09-08,38.203125,38.875000,37.953125,38.359375,38.359375,17771200
1999-09-09,39.453125,40.843750,39.453125,40.671875,40.671875,41091200
1999-09-10,41.406250,43.015625,41.250000,42.625000,42.625000,41157200
1999-09-13,41.687500,41.937500,40.125000,40.187500,40.187500,28529600
1999-09-14,39.937500,41.984375,39.921875,41.296875,41.296875,25134000
1999-09-15,42.062500,42.437500,40.562500,40.593750,40.593750,26740800
1999-09-16,40.531250,40.968750,39.328125,40.859375,40.859375,25113200
1999-09-17,40.703125,41.656250,40.265625,40.781250,40.781250,19720000
1999-09-20,41.125000,42.187500,41.000000,42.093750,42.093750,20120000
1999-09-21,41.453125,43.750000,41.078125,42.390625,42.390625,43461600
1999-09-22,42.375000,45.000000,42.156250,44.875000,44.875000,47312800
1999-09-23,45.078125,46.609375,42.812500,43.437500,43.437500,66187200
1999-09-24,43.328125,46.250000,43.328125,45.828125,45.828125,56219600
1999-09-27,46.500000,46.843750,44.578125,45.343750,45.343750,38259200
1999-09-28,45.312500,46.468750,43.812500,46.171875,46.171875,32783600
1999-09-29,45.500000,46.750000,44.671875,44.828125,44.828125,26710400
1999-09-30,44.906250,45.359375,43.687500,44.875000,44.875000,23179600
1999-10-01,44.625000,45.000000,43.156250,43.859375,43.859375,24662400
1999-10-04,44.296875,44.625000,41.656250,42.796875,42.796875,34314400
1999-10-05,43.054676,44.453125,41.937500,43.328125,43.328125,52034800
1999-10-06,44.000000,44.234375,42.890625,43.937500,43.937500,35948400
1999-10-07,46.171875,48.265625,45.500000,47.562500,47.562500,99988000
1999-10-08,47.000000,48.093750,46.265625,48.031250,48.031250,37374800
1999-10-11,46.750000,47.000000,45.000000,45.343750,45.343750,70550400
1999-10-12,45.468750,45.484375,43.000000,43.468750,43.468750,45610000
1999-10-13,43.296875,44.250000,41.812500,41.890625,41.890625,45434800
1999-10-14,42.484375,43.484375,41.843750,43.343750,43.343750,42182000
1999-10-15,41.750000,43.187500,41.328125,42.390625,42.390625,44574800
1999-10-18,42.421875,43.187500,41.125000,42.593750,42.593750,33723200
1999-10-19,43.625000,44.187500,43.406250,43.718750,43.718750,35864000
1999-10-20,44.187500,45.125000,43.343750,45.035149,45.035149,29566000
1999-10-21,44.218750,45.718750,44.062500,45.484375,45.484375,38491600
1999-10-22,45.562500,45.953125,44.312500,44.531250,44.531250,20509200
1999-10-25,44.148426,45.062500,44.062500,44.687500,44.687500,15003200
1999-10-26,44.812500,45.031250,43.500000,44.796875,44.796875,12201600
1999-10-27,44.375000,44.406250,43.000000,43.546875,43.546875,14534800
1999-10-28,43.515625,44.875000,43.187500,43.750000,43.750000,29123600
1999-10-29,44.625000,45.000000,44.250000,44.765625,44.765625,29416400
1999-11-01,44.875000,45.750000,44.500000,45.171875,45.171875,22136000
1999-11-02,45.250000,45.375000,44.218750,44.500000,44.500000,16212000
1999-11-03,44.859375,45.593750,44.656250,45.156250,45.156250,18202400
1999-11-04,45.765625,46.375000,45.328125,45.531250,45.531250,22840400
1999-11-05,46.531250,46.625000,45.750000,45.859375,45.859375,19503200
1999-11-08,45.656250,49.906250,45.468750,49.296875,49.296875,39462400
1999-11-09,49.812500,49.875000,48.062500,48.640625,48.640625,29762000
1999-11-10,48.343750,50.593750,48.312500,49.421875,49.421875,26834000
1999-11-11,49.625000,50.750000,48.062500,48.281250,48.281250,15894400
1999-11-12,49.000000,49.718750,47.562500,49.234375,49.234375,17907200
1999-11-15,49.000000,51.875000,48.843750,51.250000,51.250000,23674800
1999-11-16,51.421875,53.234375,50.921875,53.140625,53.140625,23657200
1999-11-17,52.765625,53.000000,51.218750,51.546875,51.546875,16416800
1999-11-18,51.656250,53.875000,50.750000,53.468750,53.468750,16049600
1999-11-19,53.484375,54.796875,52.500000,54.687500,54.687500,17340400
1999-11-22,54.875000,57.546875,54.500000,56.703125,56.703125,22806400
1999-11-23,56.500000,57.312500,54.500000,55.296875,55.296875,25955600
1999-11-24,56.562500,58.250000,56.312500,57.750000,57.750000,22665200
1999-11-26,58.250000,58.812500,56.343750,56.718750,56.718750,8035600
1999-11-29,57.312500,58.625000,56.218750,56.531250,56.531250,18530400
1999-11-30,55.859375,55.906250,52.625000,53.187500,53.187500,24242400
1999-12-01,57.500000,58.500000,56.234375,57.218750,57.218750,52774000
1999-12-02,57.593750,62.437500,56.937500,61.453125,61.453125,39232400
1999-12-03,62.496075,64.687500,62.234375,63.250000,63.250000,40032400
1999-12-06,63.250000,70.500000,62.671875,70.203125,70.203125,64394800
1999-12-07,74.000000,88.250000,71.531250,87.000000,87.000000,265342000
1999-12-08,81.000000,82.328125,77.750000,79.906250,79.906250,99627600
1999-12-09,79.968750,85.312500,78.015625,85.000000,85.000000,45672000
1999-12-10,86.687500,89.375000,83.562500,88.375000,88.375000,38182800
1999-12-13,87.003899,89.062500,86.125000,87.765625,87.765625,22786400
1999-12-14,87.062500,87.625000,83.250000,83.281250,83.281250,28800000
1999-12-15,81.843750,83.687500,78.875000,81.875000,81.875000,33132400
1999-12-16,83.125000,85.468750,83.093750,85.250000,85.250000,19881200
1999-12-17,86.187500,88.031250,84.250000,87.500000,87.500000,20652000
1999-12-20,87.000000,92.468750,86.500000,92.375000,92.375000,27528400
1999-12-21,91.906250,102.078125,91.203125,101.390625,101.390625,40430400
1999-12-22,101.437500,105.296875,98.687500,104.828125,104.828125,34557200
1999-12-23,104.375000,106.562500,100.000000,100.656250,100.656250,18468400
1999-12-27,98.437500,107.015625,94.468750,103.750000,103.750000,38158000
1999-12-28,102.500000,105.000000,97.500000,97.562500,97.562500,20896400
1999-12-29,99.109375,102.500000,98.500000,100.921875,100.921875,11763200
1999-12-30,105.437500,112.000000,101.687500,104.015625,104.015625,24972400
1999-12-31,105.109375,110.375000,102.515625,108.171875,108.171875,10116400
2000-01-03,110.730453,119.250000,107.375000,118.750000,118.750000,38469600
2000-01-04,116.125000,125.031250,110.500000,110.750000,110.750000,69868800
2000-01-05,107.625000,107.781250,100.500000,102.625000,102.625000,83194800
2000-01-06,101.562500,103.250000,90.250000,92.046875,92.046875,71301200
2000-01-07,91.687500,102.000000,90.750000,101.812500,101.812500,48999600
2000-01-10,108.125000,112.812500,105.000000,109.015625,109.015625,61022400
2000-01-11,105.968750,106.562500,98.000000,99.343750,99.343750,75761600
2000-01-12,97.468750,98.500000,88.750000,89.390625,89.390625,74100000
2000-01-13,91.625000,94.343750,84.500000,86.718750,86.718750,67762800
2000-01-14,88.750000,90.750000,85.500000,88.250000,88.250000,49232800
2000-01-18,85.437500,87.500000,83.750000,85.296875,85.296875,30706000
2000-01-19,84.000000,91.843750,84.000000,91.000000,91.000000,31800000
2000-01-20,92.265625,92.984375,87.250000,87.984375,87.984375,31349600
2000-01-21,88.750000,90.000000,87.000000,87.984375,87.984375,17615200
2000-01-24,88.484375,90.125000,81.000000,81.078125,81.078125,25329200
2000-01-25,81.750000,86.750000,79.062500,86.390625,86.390625,34588000
2000-01-26,85.125000,85.871078,81.937500,82.140625,82.140625,19404000
2000-01-27,83.109375,84.890625,81.281250,84.343750,84.343750,19222000
2000-01-28,83.390625,85.750000,77.406250,78.375000,78.375000,36656000
2000-01-31,77.500000,80.515625,75.750000,80.515625,80.515625,35825200
2000-02-01,79.859375,82.437500,77.703125,79.343750,79.343750,24690800
2000-02-02,80.371078,84.250000,79.250000,82.000000,82.000000,26813200
2000-02-03,83.714828,90.250000,83.500000,90.062500,90.062500,39057600
2000-02-04,91.125000,93.125000,86.750000,88.375000,88.375000,33816000
2000-02-07,88.511703,90.750000,86.750000,88.500000,88.500000,20864400
2000-02-08,89.750000,94.953125,89.625000,93.281250,93.281250,29828800
2000-02-09,92.500000,94.312500,90.031250,90.578125,90.578125,23918800
2000-02-10,90.625000,91.500000,88.484375,91.250000,91.250000,17980400
2000-02-11,90.968750,91.250000,85.437500,85.671875,85.671875,19158400
2000-02-14,86.750000,86.875000,81.875000,82.875000,82.875000,15165600
2000-02-15,83.187500,86.625000,78.000000,85.000000,85.000000,21323200
2000-02-16,84.125000,85.000000,80.000000,80.781250,80.781250,12820400
2000-02-17,82.937500,84.000000,80.531250,81.593750,81.593750,12434600
2000-02-18,80.625000,81.593750,77.687500,78.062500,78.062500,14643800
2000-02-22,78.437500,78.500000,74.468750,76.906250,76.906250,17691600
2000-02-23,76.812500,85.000000,76.500000,83.101547,83.101547,21189800
2000-02-24,83.242149,85.812500,79.625000,84.031250,84.031250,16506000
2000-02-25,82.812500,85.156250,80.156250,82.593750,82.593750,11418000
2000-02-28,80.742149,82.375000,76.062500,80.968750,80.968750,18420200
2000-02-29,82.218750,84.937500,77.750000,79.843750,79.843750,13684600
2000-03-01,78.750000,81.500000,77.500000,79.250000,79.250000,11652200
2000-03-02,77.507797,79.500000,76.000000,77.468750,77.468750,12227400
2000-03-03,78.000000,81.500000,75.500000,79.000000,79.000000,14972000
2000-03-06,81.750000,88.500000,81.367149,85.781250,85.781250,25566400
2000-03-07,87.437500,90.187500,84.000000,85.687500,85.687500,17345600
2000-03-08,87.312500,90.500000,82.500000,88.500000,88.500000,17234400
2000-03-09,87.625000,92.500000,86.000000,91.625000,91.625000,17405000
2000-03-10,90.585899,91.500000,87.812500,89.031250,89.031250,10406600
2000-03-13,84.062500,90.250000,84.000000,87.906250,87.906250,12033000
2000-03-14,89.250000,91.765602,83.968750,84.375000,84.375000,15768600
2000-03-15,84.375000,84.500000,77.562500,79.250000,79.250000,17643400
2000-03-16,79.593750,86.500000,78.031250,85.093750,85.093750,17049200
2000-03-17,84.562500,88.468750,84.500000,85.562500,85.562500,11223000
2000-03-20,86.093750,87.687500,82.625000,86.007797,86.007797,10404600
2000-03-21,86.500000,96.625000,84.281250,95.875000,95.875000,25232800
2000-03-22,94.718750,102.812500,94.250000,98.593750,98.593750,31384600
2000-03-23,96.687500,101.500000,95.250000,95.500000,95.500000,14708600
2000-03-24,96.750000,100.500000,94.000000,97.000000,97.000000,14707800
2000-03-27,97.812500,102.593750,97.500000,100.375000,100.375000,17279800
2000-03-28,98.500000,100.375000,96.000000,97.500000,97.500000,12830200
2000-03-29,96.718750,98.250000,87.000000,88.531250,88.531250,21540000
2000-03-30,86.250000,93.531250,80.125000,84.750000,84.750000,31733800
2000-03-31,87.625000,88.625000,80.250000,85.687500,85.687500,21684000
2000-04-03,84.375000,86.500000,79.687500,80.062500,80.062500,19322800
2000-04-04,82.500000,85.500000,66.375000,83.687500,83.687500,42528400
2000-04-05,81.000000,84.937500,79.250000,82.781250,82.781250,27371800
2000-04-06,80.968750,85.625000,75.343750,77.000000,77.000000,55990400
2000-04-07,78.375000,80.000000,75.375000,75.562500,75.562500,24960400
2000-04-10,76.437500,76.500000,70.500000,70.968750,70.968750,24860000
2000-04-11,69.781250,71.250000,66.250000,66.750000,66.750000,28853600
2000-04-12,68.312500,71.468750,65.250000,68.093750,68.093750,29695800
2000-04-13,68.484352,74.062500,67.156250,68.062500,68.062500,28022800
2000-04-14,65.125000,67.625000,55.500000,58.000000,58.000000,38466800
2000-04-17,55.625000,61.468750,54.000000,57.187500,57.187500,44468600
2000-04-18,58.468750,63.750000,57.750000,63.343750,63.343750,24866000
2000-04-19,64.687500,67.250000,61.000000,62.937500,62.937500,18326000
2000-04-20,63.250000,64.562500,59.750000,61.562500,61.562500,13100600
2000-04-24,57.500000,59.562500,53.500000,56.937500,56.937500,21974800
2000-04-25,59.375000,63.500000,59.375000,62.250000,62.250000,25156400
2000-04-26,62.250000,63.437500,59.125000,59.562500,59.562500,16669600
2000-04-27,57.250000,63.375000,56.500000,62.156250,62.156250,19964200
2000-04-28,63.375000,65.937500,62.750000,65.125000,65.125000,14908800
2000-05-01,67.375000,68.000000,63.468750,65.437500,65.437500,14252400
2000-05-02,64.562500,65.750000,60.812500,61.281250,61.281250,13658200
2000-05-03,60.156250,62.375000,58.031250,61.031250,61.031250,14383000
2000-05-04,62.250000,63.500000,60.531250,62.093750,62.093750,13000000
2000-05-05,61.000000,64.000000,61.000000,62.843750,62.843750,8375000
2000-05-08,61.468750,62.750000,60.250000,60.375000,60.375000,7958800
2000-05-09,60.750000,61.125000,57.500000,58.718750,58.718750,13656200
2000-05-10,57.656250,61.250000,56.250000,59.445301,59.445301,18772600
2000-05-11,60.906250,63.000000,59.750000,62.656250,62.656250,14962800
2000-05-12,63.250000,65.718750,62.531250,62.843750,62.843750,14853400
2000-05-15,62.562500,65.000000,60.320301,65.000000,65.000000,11592000
2000-05-16,66.687500,69.125000,65.000000,67.812500,67.812500,20359400
2000-05-17,66.250000,69.875000,65.937500,68.906250,68.906250,20842400
2000-05-18,68.750000,68.781250,65.000000,66.000000,66.000000,15213200
2000-05-19,65.687500,67.343750,60.000000,60.156250,60.156250,28261600
2000-05-22,60.062500,64.000000,56.625000,63.125000,63.125000,31994400
2000-05-23,62.625000,63.687500,59.000000,59.156250,59.156250,17904400
2000-05-24,58.750000,62.000000,56.000000,61.375000,61.375000,22729200
2000-05-25,60.750000,61.812500,56.500000,57.500000,57.500000,18788800
2000-05-26,57.250000,58.062500,55.500000,56.031250,56.031250,12662200
2000-05-30,57.843750,60.000000,57.250000,58.500000,58.500000,17734000
2000-05-31,56.875000,58.656250,56.406250,56.531250,56.531250,28353800
2000-06-01,58.093750,61.000000,57.812500,60.031250,60.031250,16573800
2000-06-02,64.929649,67.437500,63.656250,67.250000,67.250000,22187400
2000-06-05,65.437500,70.968750,65.250000,68.656250,68.656250,17966800
2000-06-06,67.875000,71.093750,67.500000,67.531250,67.531250,13933800
2000-06-07,69.250000,73.000000,67.750000,72.250000,72.250000,20657200
2000-06-08,73.437500,73.875000,70.250000,72.000000,72.000000,17499800
2000-06-09,73.281250,73.382797,71.125000,71.593750,71.593750,8727400
2000-06-12,72.500000,72.750000,68.375000,68.718750,68.718750,11717000
2000-06-13,68.343750,69.781250,65.625000,69.750000,69.750000,14961200
2000-06-14,70.031250,70.750000,68.562500,69.750000,69.750000,8810400
2000-06-15,69.125000,70.875000,67.406250,69.843750,69.843750,10597600
2000-06-16,69.937500,70.625000,67.750000,70.468750,70.468750,13738800
2000-06-19,70.000000,70.312500,67.968750,69.531250,69.531250,14533600
2000-06-20,70.187500,75.000000,70.156250,74.000000,74.000000,20704400
2000-06-21,71.156250,72.781250,70.250000,71.406250,71.406250,15826200
2000-06-22,70.937500,71.062500,65.812500,65.843750,65.843750,16783000
2000-06-23,64.625000,65.000000,61.125000,62.656250,62.656250,18099800
2000-06-26,62.250000,62.437500,58.562500,59.656250,59.656250,23421800
2000-06-27,59.437500,64.437500,59.375000,62.968750,62.968750,20571400
2000-06-28,62.656250,63.812500,61.562500,61.781250,61.781250,13065200
2000-06-29,61.281250,63.000000,59.375000,59.656250,59.656250,12176400
2000-06-30,59.406250,62.250000,59.406250,61.937500,61.937500,9068000
2000-07-03,61.250000,64.125000,61.062500,63.937500,63.937500,4773200
2000-07-05,63.000000,63.937500,60.125000,60.406250,60.406250,8643000
2000-07-06,60.687500,62.093750,59.250000,61.187500,61.187500,11706400
2000-07-07,58.531250,59.250000,57.500000,58.250000,58.250000,25520400
2000-07-10,56.906250,57.000000,54.859348,55.000000,55.000000,23104200
2000-07-11,52.468750,53.281250,49.937500,52.750000,52.750000,61754000
2000-07-12,60.250000,63.687500,58.437500,62.468750,62.468750,74122200
2000-07-13,62.781250,63.562500,60.757801,61.281250,61.281250,20465600
2000-07-14,62.312500,64.125000,61.250000,64.000000,64.000000,18338800
2000-07-17,63.375000,66.750000,62.531250,65.812500,65.812500,15484200
2000-07-18,64.687500,66.687500,63.562500,64.968750,64.968750,15129400
2000-07-19,65.031250,69.000000,65.000000,67.000000,67.000000,20859200
2000-07-20,67.000000,71.343750,66.843750,69.906250,69.906250,19580200
2000-07-21,69.062500,70.375000,68.781250,69.156250,69.156250,10598400
2000-07-24,68.437500,69.375000,66.125000,66.281250,66.281250,12922000
2000-07-25,67.031250,69.687500,65.187500,69.000000,69.000000,12744800
2000-07-26,68.156250,69.625000,66.843750,67.968750,67.968750,11078600
2000-07-27,67.093750,68.312500,65.656250,67.031250,67.031250,11889800
2000-07-28,67.343750,68.375000,63.031250,63.375000,63.375000,14022600
2000-07-31,63.093750,64.875000,61.375000,64.343750,64.343750,11073200
2000-08-01,64.250000,65.000000,63.000000,63.718750,63.718750,8777800
2000-08-02,63.343750,66.531250,63.125000,63.562500,63.562500,9287400
2000-08-03,62.437500,65.781250,61.750000,65.593750,65.593750,12216200
2000-08-04,66.375000,68.437500,65.625000,66.968750,66.968750,10833600
2000-08-07,66.734352,68.875000,65.375000,68.250000,68.250000,9502600
2000-08-08,67.593750,69.000000,66.531250,67.062500,67.062500,8953400
2000-08-09,68.187500,68.750000,66.250000,66.343750,66.343750,8145800
2000-08-10,66.281250,66.906250,64.156250,64.656250,64.656250,6857000
2000-08-11,64.125000,64.875000,62.687500,64.312500,64.312500,7436000
2000-08-14,64.625000,66.875000,64.093750,66.187500,66.187500,8142800
2000-08-15,65.593750,67.625000,65.562500,66.156250,66.156250,6694400
2000-08-16,67.250000,69.000000,66.750000,67.000000,67.000000,11161800
2000-08-17,66.656250,67.062500,65.437500,65.562500,65.562500,11038200
2000-08-18,65.187500,65.687500,62.500000,62.593750,62.593750,14911600
2000-08-21,62.343750,65.281250,61.625000,65.218750,65.218750,15705600
2000-08-22,64.500000,65.000000,63.156250,63.750000,63.750000,18488000
2000-08-23,62.875000,67.187500,62.468750,66.906250,66.906250,14610600
2000-08-24,66.687500,70.000000,66.062500,69.906250,69.906250,19643800
2000-08-25,69.406250,69.843750,66.437500,67.125000,67.125000,13895600
2000-08-28,64.250000,65.750000,60.312500,61.031250,61.031250,39080600
2000-08-29,60.367149,63.375000,60.000000,60.500000,60.500000,27184600
2000-08-30,60.843750,62.250000,60.257801,61.625000,61.625000,15051800
2000-08-31,61.812500,62.000000,60.375000,60.750000,60.750000,11091400
2000-09-01,58.937500,58.968750,55.062500,56.968750,56.968750,35473000
2000-09-05,55.937500,59.625000,55.187500,58.562500,58.562500,27535600
2000-09-06,58.687500,58.875000,56.000000,56.031250,56.031250,19088600
2000-09-07,55.281250,57.375000,53.000000,53.468750,53.468750,35515800
2000-09-08,53.593750,54.687500,49.875000,52.062500,52.062500,36988200
2000-09-11,51.625000,54.687500,51.437500,53.156250,53.156250,17564200
2000-09-12,54.406250,55.117149,52.500000,53.500000,53.500000,12909600
2000-09-13,52.781250,54.093750,52.250000,53.187500,53.187500,11120400
2000-09-14,53.906250,54.687500,53.000000,53.468750,53.468750,11057000
2000-09-15,53.500000,53.750000,52.187500,52.937500,52.937500,13341000
2000-09-18,52.093750,53.750000,51.187500,52.531250,52.531250,11642800
2000-09-19,52.750000,54.125000,52.562500,54.031250,54.031250,9642600
2000-09-20,54.625000,56.218750,53.812500,54.843750,54.843750,16960800
2000-09-21,54.429649,56.062500,54.000000,54.062500,54.062500,8599200
2000-09-22,51.937500,56.000000,51.937500,55.718750,55.718750,12025600
2000-09-25,55.171848,56.187500,52.531250,52.750000,52.750000,10145800
2000-09-26,53.000000,53.031250,50.250000,51.218750,51.218750,14132200
2000-09-27,51.375000,51.375000,44.000000,45.187500,45.187500,59994600
2000-09-28,45.687500,48.500000,44.968750,47.843750,47.843750,27555400
2000-09-29,48.562500,48.625000,45.250000,45.500000,45.500000,13879800
2000-10-02,45.781250,45.937500,42.062500,43.031250,43.031250,25121600
2000-10-03,43.750000,45.375000,41.312500,42.000000,42.000000,25678000
2000-10-04,42.218750,44.375000,41.250000,43.968750,43.968750,18776000
2000-10-05,44.250000,45.312500,41.750000,42.343750,42.343750,19689600
2000-10-06,42.750000,43.000000,39.718750,40.625000,40.625000,23314400
2000-10-09,40.781250,43.750000,37.750000,42.875000,42.875000,25993800
2000-10-10,43.687500,44.375000,40.937500,41.343750,41.343750,38555200
2000-10-11,36.343750,36.781250,32.500000,32.687500,32.687500,92244000
2000-10-12,33.343750,33.375000,27.718750,28.312500,28.312500,63441200
2000-10-13,27.593750,30.187500,27.375000,30.000000,30.000000,56348600
2000-10-16,30.375000,30.812500,27.531250,27.625000,27.625000,31040200
2000-10-17,27.968750,28.062500,23.718750,24.468750,24.468750,58899000
2000-10-18,23.218750,27.125000,22.531250,26.375000,26.375000,59887600
2000-10-19,28.687500,30.062500,26.843750,29.781250,29.781250,34329800
2000-10-20,29.687500,31.875000,28.343750,29.500000,29.500000,25588200
2000-10-23,30.125000,31.046850,29.531250,29.812500,29.812500,15772600
2000-10-24,30.718750,32.125000,29.000000,29.312500,29.312500,23606200
2000-10-25,30.437500,30.898399,27.046850,27.781250,27.781250,20160200
2000-10-26,28.375000,28.500000,25.437500,28.000000,28.000000,19796600
2000-10-27,28.562500,29.218750,26.593750,27.625000,27.625000,14792400
2000-10-30,26.906250,27.812500,25.500000,26.312500,26.312500,16900200
2000-10-31,26.843750,30.000000,26.250000,29.312500,29.312500,23011600
2000-11-01,28.890600,33.500000,28.500000,32.179649,32.179649,34524000
2000-11-02,33.250000,34.625000,32.125000,33.718750,33.718750,29210800
2000-11-03,34.687500,35.281250,33.312500,34.375000,34.375000,20381800
2000-11-06,35.125000,35.218750,32.687500,32.812500,32.812500,14251200
2000-11-07,32.968750,34.562500,31.812500,34.250000,34.250000,13889800
2000-11-08,34.625000,35.312500,32.468750,32.500000,32.500000,16011400
2000-11-09,30.429649,31.437500,28.250000,29.406250,29.406250,26721000
2000-11-10,28.906250,30.875000,28.062500,28.218750,28.218750,19196200
2000-11-13,27.406250,29.562500,26.000000,27.656250,27.656250,19343200
2000-11-14,28.843750,29.750000,27.750000,29.718750,29.718750,13959400
2000-11-15,29.125000,30.000000,27.375000,28.562500,28.562500,16191200
2000-11-16,27.500000,28.250000,26.312500,26.468750,26.468750,13573000
2000-11-17,26.101549,27.750000,25.000000,25.625000,25.625000,21516400
2000-11-20,25.187500,25.687500,23.937500,24.437500,24.437500,18448400
2000-11-21,23.500000,24.000000,20.281250,20.843750,20.843750,49950200
2000-11-22,20.187500,21.500000,19.031250,19.093750,19.093750,43183200
2000-11-24,20.125000,21.125000,19.687500,20.437500,20.437500,19702400
2000-11-27,21.867149,22.500000,20.000000,20.062500,20.062500,24838400
2000-11-28,19.968750,20.250000,17.875000,18.484350,18.484350,29390800
2000-11-29,18.570299,19.625000,17.843750,19.531250,19.531250,35039400
2000-11-30,18.796850,19.812500,17.593750,19.812500,19.812500,33938200
2000-12-01,19.406250,20.562500,18.187500,19.468750,19.468750,40172600
2000-12-04,19.218750,19.656250,18.093750,18.968750,18.968750,29997600
2000-12-05,19.843750,22.000000,19.656250,21.937500,21.937500,30714800
2000-12-06,20.812500,21.468750,18.562500,18.750000,18.750000,32559800
2000-12-07,18.031250,18.109350,15.750000,17.468750,17.468750,55136200
2000-12-08,18.562500,18.562500,16.062500,17.468750,17.468750,49184000
2000-12-11,16.812500,18.531250,15.312500,16.937500,16.937500,71038800
2000-12-12,16.625000,19.750000,16.468750,17.906250,17.906250,79275800
2000-12-13,19.156250,19.312500,17.125000,17.437500,17.437500,33640400
2000-12-14,17.656250,17.953100,15.968750,16.000000,16.000000,20899800
2000-12-15,16.000000,17.000000,15.531250,16.500000,16.500000,40448000
2000-12-18,16.937500,17.000000,15.125000,16.000000,16.000000,31697600
2000-12-19,15.281250,15.984350,14.000000,14.000000,14.000000,36131600
2000-12-20,12.906250,14.187500,12.750000,13.968750,13.968750,44862800
2000-12-21,13.375000,14.125000,12.531250,12.812500,12.812500,27794400
2000-12-22,13.218750,14.937500,13.031250,14.781250,14.781250,28347400
2000-12-26,16.000000,17.000000,15.062500,15.593750,15.593750,37536200
2000-12-27,15.500000,15.750000,14.562500,14.875000,14.875000,22045400
2000-12-28,14.718750,15.875000,14.562500,15.500000,15.500000,24374600
2000-12-29,15.156250,15.593750,14.781250,15.031250,15.031250,20893400
2001-01-02,15.156250,15.187500,13.750000,14.093750,14.093750,21939200
2001-01-03,13.875000,16.281250,12.992150,15.468750,15.468750,49936600
2001-01-04,14.929650,16.093750,14.718750,14.781250,14.781250,35051800
2001-01-05,14.687500,15.687500,13.937500,14.250000,14.250000,26867400
2001-01-08,13.687500,13.750000,12.687500,13.593750,13.593750,26165200
2001-01-09,13.281250,15.281250,13.000000,15.062500,15.062500,43097200
2001-01-10,14.656250,15.625000,13.937500,15.250000,15.250000,54304200
2001-01-11,12.210900,13.312500,12.062500,12.937500,12.937500,132926800
2001-01-12,13.031250,13.437500,12.531250,13.281250,13.281250,50575600
2001-01-16,13.500000,14.218750,13.312500,13.687500,13.687500,32059000
2001-01-17,14.312500,15.875000,13.968750,15.125000,15.125000,66939000
2001-01-18,15.500000,17.375000,14.843750,17.218750,17.218750,57925400
2001-01-19,18.000000,18.031250,16.281250,16.906250,16.906250,40979800
2001-01-22,16.656250,17.875000,16.281250,17.343750,17.343750,25512600
2001-01-23,17.218750,19.500000,17.093750,19.476549,19.476549,34783200
2001-01-24,19.156250,21.687500,19.000000,21.437500,21.437500,57294800
2001-01-25,20.937500,21.406250,19.281250,19.593750,19.593750,44249200
2001-01-26,18.812500,19.312500,18.062500,18.843750,18.843750,24462600
2001-01-29,18.875000,20.187500,18.875000,19.937500,19.937500,18819000
2001-01-30,20.562500,20.875000,18.875000,19.843750,19.843750,18776000
2001-01-31,19.906250,20.531250,18.500000,18.656250,18.656250,22458600
2001-02-01,18.750000,19.093750,17.531250,18.031250,18.031250,20113200
2001-02-02,18.250000,18.312500,16.437500,16.500000,16.500000,21816200
2001-02-05,16.343750,17.992149,16.031250,17.531250,17.531250,19448400
2001-02-06,17.593750,18.250000,17.062500,18.187500,18.187500,20752000
2001-02-07,17.562500,17.843750,16.312500,16.718750,16.718750,19541600
2001-02-08,16.843750,16.937500,14.937500,15.093750,15.093750,28289800
2001-02-09,15.093750,15.250000,13.875000,13.968750,13.968750,23027200
2001-02-12,14.156250,15.000000,13.843750,14.250000,14.250000,18094400
2001-02-13,14.468750,14.875000,13.500000,13.562500,13.562500,21768800
2001-02-14,13.718750,14.468750,12.875000,14.250000,14.250000,22815200
2001-02-15,14.500000,16.250000,14.500000,15.656250,15.656250,40358600
2001-02-16,14.656250,15.000000,13.875000,14.093750,14.093750,19290600
2001-02-20,14.468750,14.937500,13.250000,13.281250,13.281250,26573400
2001-02-21,13.093750,14.125000,12.937500,13.062500,13.062500,23493200
2001-02-22,13.250000,13.875000,11.812500,12.000000,12.000000,46159600
2001-02-23,12.093750,12.750000,11.437500,12.718750,12.718750,28155400
2001-02-26,12.937500,12.968750,11.718750,12.875000,12.875000,24700600
2001-02-27,12.625000,12.812500,11.687500,11.718750,11.718750,19961600
2001-02-28,11.843750,12.562500,11.531250,11.906250,11.906250,20347000
2001-03-01,11.781250,12.218750,11.093750,12.218750,12.218750,21860200
2001-03-02,11.460900,11.875000,10.812500,10.843750,10.843750,21483200
2001-03-05,11.250000,11.437500,10.843750,11.093750,11.093750,17513000
2001-03-06,11.750000,12.218750,11.156250,11.187500,11.187500,20773600
2001-03-07,10.984350,11.000000,10.406250,10.468750,10.468750,10498800
2001-03-08,8.531250,8.875000,8.125000,8.843750,8.843750,118728200
2001-03-09,8.593750,8.656250,8.218750,8.500000,8.500000,28098800
2001-03-12,8.125000,8.750000,8.054650,8.187500,8.187500,32844000
2001-03-13,8.375000,8.601550,7.812500,8.031250,8.031250,29766600
2001-03-14,7.687500,8.000000,7.468750,7.656250,7.656250,21191000
2001-03-15,7.937500,8.062500,7.500000,7.500000,7.500000,16375400
2001-03-16,7.312500,7.531250,6.750000,6.781250,6.781250,24668000
2001-03-19,7.031250,7.562500,6.843750,7.468750,7.468750,17516200
2001-03-20,7.625000,7.812500,6.875000,6.968750,6.968750,23528400
2001-03-21,6.968750,7.250000,6.750000,6.843750,6.843750,15176000
2001-03-22,7.031250,7.468750,6.765600,7.437500,7.437500,20599000
2001-03-23,7.687500,7.789050,6.968750,7.218750,7.218750,18004600
2001-03-26,7.562500,7.562500,7.078100,7.093750,7.093750,12504000
2001-03-27,7.250000,7.875000,7.125000,7.781250,7.781250,21399000
2001-03-28,7.687500,7.781250,7.250000,7.468750,7.468750,18186800
2001-03-29,7.437500,7.500000,7.125000,7.500000,7.500000,17917800
2001-03-30,7.500000,8.218750,7.187500,7.875000,7.875000,20178000
2001-04-02,7.687500,7.875000,6.718750,7.000000,7.000000,19148200
2001-04-03,6.781250,6.843750,5.687500,5.687500,5.687500,29801200
2001-04-04,5.937500,6.656250,5.875000,6.218750,6.218750,30154800
2001-04-05,7.531250,7.937500,7.312500,7.625000,7.625000,51246000
2001-04-06,7.625000,7.906250,7.125000,7.406250,7.406250,30974000
2001-04-09,7.910000,8.045000,7.475000,7.820000,7.820000,18480400
2001-04-10,8.020000,8.460000,7.575000,8.010000,8.010000,39976000
2001-04-11,8.500000,8.625000,7.600000,7.930000,7.930000,37044200
2001-04-12,7.940000,8.500000,7.575000,8.480000,8.480000,34184400
2001-04-16,8.260000,9.275000,8.100000,8.810000,8.810000,34724200
2001-04-17,8.660000,8.900000,8.300000,8.655000,8.655000,35402800
2001-04-18,9.205000,10.045000,8.995000,9.310000,9.310000,37386800
2001-04-19,9.495000,10.075000,9.425000,9.980000,9.980000,26405400
2001-04-20,10.100000,10.490000,9.610000,9.925000,9.925000,25914000
2001-04-23,9.555000,9.585000,8.935000,8.980000,8.980000,20566200
2001-04-24,9.125000,9.550000,8.875000,9.005000,9.005000,20524000
2001-04-25,8.925000,9.370000,8.770000,9.340000,9.340000,14547200
2001-04-26,9.475000,9.875000,9.060000,9.130000,9.130000,14672000
2001-04-27,9.555000,9.925000,9.380000,9.750000,9.750000,15259400
2001-04-30,10.130000,10.525000,9.925000,10.090000,10.090000,21019200
2001-05-01,10.055000,11.200000,10.000000,11.155000,11.155000,20895600
2001-05-02,11.385000,11.850000,10.560000,11.460000,11.460000,35659200
2001-05-03,10.905000,10.985000,10.165000,10.415000,10.415000,19632800
2001-05-04,9.935000,10.240000,9.675000,10.065000,10.065000,24910200
2001-05-07,10.010000,10.135000,9.780000,9.990000,9.990000,13814200
2001-05-08,10.180000,10.190000,9.575000,9.870000,9.870000,15375200
2001-05-09,9.620000,9.620000,9.200000,9.430000,9.430000,17152000
2001-05-10,9.660000,9.680000,9.005000,9.115000,9.115000,12491400
2001-05-11,9.120000,9.215000,8.750000,8.895000,8.895000,9188200
2001-05-14,8.900000,8.915000,8.475000,8.550000,8.550000,9832800
2001-05-15,8.650000,9.525000,8.500000,9.030000,9.030000,16877400
2001-05-16,8.910000,9.935000,8.750000,9.690000,9.690000,19513600
2001-05-17,9.745000,10.160000,9.690000,9.925000,9.925000,18521800
2001-05-18,9.780000,10.020000,9.450000,9.680000,9.680000,10363200
2001-05-21,9.700000,10.750000,9.600000,10.750000,10.750000,23925600
2001-05-22,11.075000,11.535000,10.750000,11.065000,11.065000,30289800
2001-05-23,10.935000,10.940000,10.200000,10.220000,10.220000,15063000
2001-05-24,10.200000,10.775000,9.940000,10.765000,10.765000,17315000
2001-05-25,10.660000,10.680000,10.260000,10.460000,10.460000,7707000
2001-05-29,10.425000,10.425000,9.310000,9.395000,9.395000,15425400
2001-05-30,9.185000,9.520000,8.675000,8.835000,8.835000,16173200
2001-05-31,8.965000,9.800000,8.925000,9.055000,9.055000,18587600
2001-06-01,9.295000,10.075000,8.950000,9.730000,9.730000,17945200
2001-06-04,10.230000,10.250000,9.765000,9.890000,9.890000,24160400
2001-06-05,9.850000,10.050000,9.680000,10.000000,10.000000,14149800
2001-06-06,9.945000,10.410000,9.800000,9.840000,9.840000,16235000
2001-06-07,9.650000,9.715000,9.250000,9.710000,9.710000,15290400
2001-06-08,9.695000,9.720000,9.225000,9.275000,9.275000,11039600
2001-06-11,9.120000,9.270000,8.740000,8.930000,8.930000,13595800
2001-06-12,8.750000,9.260000,8.500000,9.055000,9.055000,15636800
2001-06-13,9.165000,9.195000,8.540000,8.575000,8.575000,12258000
2001-06-14,8.530000,8.740000,8.025000,8.235000,8.235000,16570400
2001-06-15,8.075000,8.375000,7.860000,8.005000,8.005000,17234800
2001-06-18,8.255000,8.320000,7.640000,7.655000,7.655000,11646000
2001-06-19,8.190000,8.255000,7.620000,7.780000,7.780000,19567800
2001-06-20,7.655000,9.255000,7.650000,9.245000,9.245000,21971600
2001-06-21,9.090000,9.250000,8.610000,8.900000,8.900000,21789600
2001-06-22,9.020000,9.105000,8.600000,8.655000,8.655000,12910400
2001-06-25,9.045000,9.985000,9.000000,9.885000,9.885000,33834000
2001-06-26,9.525000,9.810000,9.155000,9.570000,9.570000,27588400
2001-06-27,9.750000,9.820000,9.170000,9.365000,9.365000,21202000
2001-06-28,9.605000,9.840000,9.560000,9.690000,9.690000,16157600
2001-06-29,9.730000,10.000000,9.550000,9.995000,9.995000,11881000
2001-07-02,9.830000,10.275000,9.730000,10.020000,10.020000,14062400
2001-07-03,9.880000,10.075000,9.850000,9.905000,9.905000,7351400
2001-07-05,10.000000,10.435000,9.480000,9.595000,9.595000,19023800
2001-07-06,9.470000,9.500000,8.825000,8.940000,8.940000,19318200
2001-07-09,9.075000,9.435000,9.010000,9.285000,9.285000,14335000
2001-07-10,9.460000,9.510000,8.890000,8.915000,8.915000,12927200
2001-07-11,8.470000,8.775000,7.655000,8.515000,8.515000,50231200
2001-07-12,9.285000,9.310000,8.820000,9.310000,9.310000,31990000
2001-07-13,9.085000,9.530000,8.875000,9.125000,9.125000,19426200
2001-07-16,9.015000,9.595000,8.975000,9.005000,9.005000,23582200
2001-07-17,8.920000,9.350000,8.770000,9.240000,9.240000,15734200
2001-07-18,8.975000,9.125000,8.400000,8.515000,8.515000,20664000
2001-07-19,8.785000,8.945000,8.375000,8.715000,8.715000,16326400
2001-07-20,8.640000,9.025000,8.635000,8.970000,8.970000,17394400
2001-07-23,9.115000,9.145000,8.710000,8.780000,8.780000,11828200
2001-07-24,8.540000,8.885000,8.215000,8.485000,8.485000,11831600
2001-07-25,8.495000,8.625000,8.235000,8.435000,8.435000,10177800
2001-07-26,8.440000,8.850000,8.300000,8.740000,8.740000,11784000
2001-07-27,8.710000,9.250000,8.600000,9.010000,9.010000,12615800
2001-07-30,9.090000,9.195000,8.740000,8.900000,8.900000,8501600
2001-07-31,8.975000,9.125000,8.750000,8.810000,8.810000,9468400
2001-08-01,9.030000,9.295000,8.935000,9.145000,9.145000,14035200
2001-08-02,9.345000,9.350000,9.000000,9.225000,9.225000,7531600
2001-08-03,9.245000,9.255000,8.855000,8.935000,8.935000,7477600
2001-08-06,8.875000,8.920000,8.630000,8.695000,8.695000,7260600
2001-08-07,8.675000,8.910000,8.515000,8.650000,8.650000,7591400
2001-08-08,8.615000,8.750000,8.220000,8.275000,8.275000,10008800
2001-08-09,8.280000,8.285000,7.800000,8.140000,8.140000,16024400
2001-08-10,8.045000,8.130000,7.625000,7.710000,7.710000,18642400
2001-08-13,7.760000,7.900000,7.650000,7.820000,7.820000,10381800
2001-08-14,7.945000,8.005000,7.370000,7.490000,7.490000,17311400
2001-08-15,7.525000,7.540000,6.920000,7.130000,7.130000,21956200
2001-08-16,6.980000,7.470000,6.975000,7.395000,7.395000,14791200
2001-08-17,7.250000,7.310000,7.000000,7.025000,7.025000,9049600
2001-08-20,7.020000,7.390000,6.875000,7.230000,7.230000,9762600
2001-08-21,7.340000,7.345000,6.500000,6.505000,6.505000,12589800
2001-08-22,6.720000,6.735000,6.375000,6.700000,6.700000,18209000
2001-08-23,6.645000,6.925000,6.565000,6.630000,6.630000,15656400
2001-08-24,6.690000,7.135000,6.600000,7.055000,7.055000,13311000
2001-08-27,7.035000,7.035000,6.505000,6.710000,6.710000,15045400
2001-08-28,6.760000,6.860000,6.500000,6.500000,6.500000,14270400
2001-08-29,6.570000,6.670000,6.000000,6.070000,6.070000,21579600
2001-08-30,6.000000,6.000000,5.510000,5.660000,5.660000,23788000
2001-08-31,5.660000,5.950000,5.585000,5.930000,5.930000,15667000
2001-09-04,5.980000,6.205000,5.740000,5.850000,5.850000,18605800
2001-09-05,5.845000,5.845000,5.225000,5.320000,5.320000,24114600
2001-09-06,5.515000,5.775000,5.285000,5.550000,5.550000,29971200
2001-09-07,5.370000,5.580000,5.270000,5.375000,5.375000,17791800
2001-09-10,5.365000,6.175000,5.355000,5.870000,5.870000,29562800
2001-09-17,5.275000,5.660000,5.125000,5.440000,5.440000,34958200
2001-09-18,5.400000,5.565000,5.015000,5.050000,5.050000,20893400
2001-09-19,5.095000,5.200000,4.900000,5.035000,5.035000,24542000
2001-09-20,4.975000,5.170000,4.905000,4.985000,4.985000,16103200
2001-09-21,4.665000,4.700000,4.250000,4.340000,4.340000,25924800
2001-09-24,4.545000,4.730000,4.410000,4.625000,4.625000,15538800
2001-09-25,4.580000,5.020000,4.500000,4.640000,4.640000,23675000
2001-09-26,4.675000,4.750000,4.050000,4.055000,4.055000,15748000
2001-09-27,4.020000,4.625000,4.010000,4.555000,4.555000,29073200
2001-09-28,4.580000,4.625000,4.300000,4.405000,4.405000,13111800
2001-10-01,4.350000,4.600000,4.225000,4.545000,4.545000,14021600
2001-10-02,4.510000,4.625000,4.445000,4.620000,4.620000,10246400
2001-10-03,4.455000,5.000000,4.420000,4.955000,4.955000,23861000
2001-10-04,5.085000,5.795000,4.840000,5.340000,5.340000,35863200
2001-10-05,5.150000,5.300000,5.025000,5.175000,5.175000,12420400
2001-10-08,5.025000,5.445000,4.955000,5.245000,5.245000,14124400
2001-10-09,5.205000,5.300000,5.005000,5.080000,5.080000,12246400
2001-10-10,5.040000,5.625000,5.005000,5.465000,5.465000,26617400
2001-10-11,5.980000,6.340000,5.850000,6.250000,6.250000,58265400
2001-10-12,6.105000,6.130000,5.730000,6.040000,6.040000,29939200
2001-10-15,5.930000,6.195000,5.775000,6.035000,6.035000,11493000
2001-10-16,6.095000,6.335000,6.005000,6.250000,6.250000,13847800
2001-10-17,6.515000,6.590000,5.655000,5.680000,5.680000,23678200
2001-10-18,5.745000,5.920000,5.540000,5.635000,5.635000,14633600
2001-10-19,5.560000,5.730000,5.405000,5.685000,5.685000,13111600
2001-10-22,5.700000,5.940000,5.535000,5.890000,5.890000,11827000
2001-10-23,5.965000,6.145000,5.700000,5.790000,5.790000,20593400
2001-10-24,5.890000,6.020000,5.625000,5.975000,5.975000,12465200
2001-10-25,5.735000,6.160000,5.585000,6.125000,6.125000,20753600
2001-10-26,6.070000,6.290000,5.865000,6.030000,6.030000,11832200
2001-10-29,5.975000,6.075000,5.645000,5.650000,5.650000,14799000
2001-10-30,5.520000,5.710000,5.310000,5.545000,5.545000,14171600
2001-10-31,5.765000,5.845000,5.435000,5.440000,5.440000,11277200
2001-11-01,5.535000,5.670000,5.335000,5.600000,5.600000,14626000
2001-11-02,5.565000,5.625000,5.415000,5.480000,5.480000,10678000
2001-11-05,5.630000,6.000000,5.590000,5.995000,5.995000,15136800
2001-11-06,5.950000,6.575000,5.915000,6.495000,6.495000,23447200
2001-11-07,6.400000,7.005000,6.400000,6.715000,6.715000,29029000
2001-11-08,6.890000,7.140000,6.485000,6.560000,6.560000,22932000
2001-11-09,6.610000,6.885000,6.485000,6.860000,6.860000,18362800
2001-11-12,6.775000,6.885000,6.420000,6.850000,6.850000,15510000
2001-11-13,7.130000,7.145000,6.900000,6.985000,6.985000,15337600
2001-11-14,7.285000,7.690000,7.210000,7.605000,7.605000,29540000
2001-11-15,7.445000,7.730000,7.275000,7.415000,7.415000,30830600
2001-11-16,7.635000,8.000000,7.525000,7.735000,7.735000,31970800
2001-11-19,8.020000,8.175000,7.810000,8.140000,8.140000,17486200
2001-11-20,7.940000,8.000000,7.440000,7.445000,7.445000,26776200
2001-11-21,7.490000,7.630000,7.110000,7.465000,7.465000,16417400
2001-11-23,7.590000,7.890000,7.505000,7.865000,7.865000,9200200
2001-11-26,8.175000,9.045000,8.100000,9.035000,9.035000,45330600
2001-11-27,8.700000,8.970000,8.450000,8.700000,8.700000,43562200
2001-11-28,8.520000,8.725000,8.050000,8.105000,8.105000,25570400
2001-11-29,8.300000,8.350000,7.750000,8.350000,8.350000,33130200
2001-11-30,8.350000,8.390000,7.680000,7.785000,7.785000,25159000
2001-12-03,8.150000,8.175000,7.875000,7.915000,7.915000,22941800
2001-12-04,8.145000,8.515000,8.005000,8.480000,8.480000,22457600
2001-12-05,8.565000,8.800000,8.265000,8.530000,8.530000,40721000
2001-12-06,8.770000,9.750000,8.635000,9.510000,9.510000,61513000
2001-12-07,8.955000,9.115000,8.735000,8.835000,8.835000,32549200
2001-12-10,8.815000,9.350000,8.800000,8.910000,8.910000,23105800
2001-12-11,9.250000,9.500000,9.005000,9.210000,9.210000,29282400
2001-12-12,9.515000,9.665000,9.325000,9.570000,9.570000,31213200
2001-12-13,9.105000,9.155000,8.790000,8.790000,8.790000,22921200
2001-12-14,9.020000,9.020000,8.270000,8.605000,8.605000,20105600
2001-12-17,8.600000,9.035000,8.565000,8.930000,8.930000,15448400
2001-12-18,9.170000,9.225000,8.980000,9.190000,9.190000,15585200
2001-12-19,8.975000,9.150000,8.715000,8.855000,8.855000,13653200
2001-12-20,8.800000,9.095000,8.075000,8.110000,8.110000,20588400
2001-12-21,8.485000,8.640000,8.250000,8.460000,8.460000,23752600
2001-12-24,8.445000,8.510000,8.275000,8.335000,8.335000,4194400
2001-12-26,9.025000,9.135000,8.655000,8.755000,8.755000,25327400
2001-12-27,8.975000,9.045000,8.770000,8.885000,8.885000,15643400
2001-12-28,9.325000,9.440000,9.145000,9.150000,9.150000,25317400
2001-12-31,9.255000,9.275000,8.800000,8.870000,8.870000,18827800
2002-01-02,9.070000,9.345000,8.840000,9.315000,9.315000,21903600
2002-01-03,9.350000,9.645000,9.270000,9.565000,9.565000,23668000
2002-01-04,9.500000,9.905000,9.265000,9.450000,9.450000,24050200
2002-01-07,9.350000,9.970000,9.325000,9.865000,9.865000,29516400
2002-01-08,9.700000,9.865000,9.625000,9.765000,9.765000,19021200
2002-01-09,9.900000,10.675000,9.885000,10.125000,10.125000,38134400
2002-01-10,10.030000,10.355000,9.975000,10.245000,10.245000,21084800
2002-01-11,10.260000,10.450000,10.010000,10.080000,10.080000,14488200
2002-01-14,9.855000,9.960000,9.435000,9.505000,9.505000,21948400
2002-01-15,9.610000,9.740000,9.410000,9.735000,9.735000,16099200
2002-01-16,9.460000,9.540000,8.900000,8.935000,8.935000,39965800
2002-01-17,9.685000,10.190000,9.625000,10.060000,10.060000,59843400
2002-01-18,9.830000,9.990000,9.475000,9.600000,9.600000,35842800
2002-01-22,9.950000,10.025000,9.200000,9.210000,9.210000,28990600
2002-01-23,9.400000,9.425000,8.985000,9.220000,9.220000,21565200
2002-01-24,9.465000,9.700000,9.010000,9.095000,9.095000,29277400
2002-01-25,9.160000,9.425000,9.030000,9.340000,9.340000,20250600
2002-01-28,9.415000,9.455000,9.200000,9.350000,9.350000,12314400
2002-01-29,9.405000,9.405000,8.855000,9.090000,9.090000,20109600
2002-01-30,9.095000,9.100000,8.090000,8.595000,8.595000,37318600
2002-01-31,8.850000,8.900000,8.395000,8.620000,8.620000,15431600
2002-02-01,8.630000,8.650000,8.175000,8.340000,8.340000,13860200
2002-02-04,8.275000,8.300000,7.800000,7.875000,7.875000,17827400
2002-02-05,7.780000,8.080000,7.615000,7.885000,7.885000,21340200
2002-02-06,8.045000,8.050000,7.750000,7.945000,7.945000,25175200
2002-02-07,7.830000,7.875000,7.475000,7.675000,7.675000,21492200
2002-02-08,7.705000,8.360000,7.665000,8.325000,8.325000,18556800
2002-02-11,8.200000,8.410000,8.060000,8.275000,8.275000,12847800
2002-02-12,8.190000,8.265000,8.060000,8.165000,8.165000,9701200
2002-02-13,8.340000,8.590000,8.205000,8.395000,8.395000,24922800
2002-02-14,8.460000,8.675000,8.250000,8.285000,8.285000,13740600
2002-02-15,8.350000,8.355000,7.745000,7.835000,7.835000,15085000
2002-02-19,7.560000,7.575000,7.125000,7.220000,7.220000,24867000
2002-02-20,7.370000,7.715000,7.005000,7.645000,7.645000,25165200
2002-02-21,7.575000,7.675000,7.175000,7.220000,7.220000,20302000
2002-02-22,7.150000,7.330000,6.705000,7.230000,7.230000,18192000
2002-02-25,7.210000,7.625000,7.045000,7.500000,7.500000,19819800
2002-02-26,7.555000,7.565000,7.080000,7.465000,7.465000,16967000
2002-02-27,7.545000,7.690000,7.225000,7.275000,7.275000,16609200
2002-02-28,7.315000,7.505000,7.125000,7.230000,7.230000,16732200
2002-03-01,7.465000,8.345000,7.465000,8.305000,8.305000,33485400
2002-03-04,8.565000,9.035000,8.475000,8.905000,8.905000,32436200
2002-03-05,8.645000,9.130000,8.585000,9.095000,9.095000,28806400
2002-03-06,8.925000,9.250000,8.815000,9.130000,9.130000,23403200
2002-03-07,9.155000,9.250000,8.810000,8.970000,8.970000,16618600
2002-03-08,9.220000,9.490000,9.025000,9.465000,9.465000,19056800
2002-03-11,9.255000,10.270000,9.255000,10.250000,10.250000,34095200
2002-03-12,9.675000,9.905000,9.450000,9.680000,9.680000,29150400
2002-03-13,9.375000,9.800000,9.375000,9.610000,9.610000,16346600
2002-03-14,9.520000,9.695000,9.450000,9.615000,9.615000,11820400
2002-03-15,9.750000,9.800000,9.065000,9.360000,9.360000,26581200
2002-03-18,9.370000,9.630000,9.330000,9.605000,9.605000,15079000
2002-03-19,9.585000,9.725000,9.495000,9.545000,9.545000,10785200
2002-03-20,9.335000,9.545000,9.080000,9.100000,9.100000,10253600
2002-03-21,9.175000,9.375000,8.800000,9.295000,9.295000,20458800
2002-03-22,9.210000,9.380000,9.090000,9.215000,9.215000,13243400
2002-03-25,9.200000,9.440000,8.860000,8.915000,8.915000,10465600
2002-03-26,8.810000,9.225000,8.785000,8.845000,8.845000,16236600
2002-03-27,8.855000,8.975000,8.645000,8.925000,8.925000,11252400
2002-03-28,9.015000,9.245000,8.935000,9.235000,9.235000,10132400
2002-04-01,9.375000,9.425000,9.000000,9.340000,9.340000,12873600
2002-04-02,9.220000,9.250000,8.925000,9.025000,9.025000,14504000
2002-04-03,9.115000,9.140000,8.755000,8.910000,8.910000,14094000
2002-04-04,8.905000,8.910000,8.550000,8.830000,8.830000,15151200
2002-04-05,8.870000,9.240000,8.855000,9.085000,9.085000,18153400
2002-04-08,8.800000,9.425000,8.675000,9.420000,9.420000,26425800
2002-04-09,9.475000,9.575000,9.195000,9.230000,9.230000,21637800
2002-04-10,9.350000,9.405000,8.750000,9.220000,9.220000,33023200
2002-04-11,8.430000,8.435000,7.630000,7.725000,7.725000,68269000
2002-04-12,7.910000,7.995000,7.750000,7.860000,7.860000,23181000
2002-04-15,7.950000,8.035000,7.660000,7.705000,7.705000,18348600
2002-04-16,7.765000,7.775000,7.525000,7.695000,7.695000,29637400
2002-04-17,7.790000,7.950000,7.740000,7.945000,7.945000,22728800
2002-04-18,7.885000,7.920000,7.500000,7.530000,7.530000,16957400
2002-04-19,7.600000,7.625000,7.375000,7.380000,7.380000,18159800
2002-04-22,7.365000,7.365000,6.940000,7.070000,7.070000,19980800
2002-04-23,7.055000,7.140000,6.935000,7.085000,7.085000,14515400
2002-04-24,7.340000,7.545000,7.250000,7.305000,7.305000,26954000
2002-04-25,7.120000,7.385000,7.085000,7.175000,7.175000,16614200
2002-04-26,7.455000,7.475000,7.175000,7.250000,7.250000,19087600
2002-04-29,7.235000,7.350000,6.985000,7.105000,7.105000,15803200
2002-04-30,7.110000,7.525000,7.080000,7.380000,7.380000,21189800
2002-05-01,7.395000,7.925000,7.060000,7.820000,7.820000,26775600
2002-05-02,7.595000,7.885000,7.400000,7.500000,7.500000,21428600
2002-05-03,7.510000,7.550000,7.235000,7.385000,7.385000,12639200
2002-05-06,7.320000,7.630000,7.195000,7.300000,7.300000,15049000
2002-05-07,7.390000,7.525000,7.280000,7.370000,7.370000,12768800
2002-05-08,7.615000,8.185000,7.550000,8.160000,8.160000,21358200
2002-05-09,7.825000,8.325000,7.795000,8.185000,8.185000,22037600
2002-05-10,8.100000,8.225000,7.700000,7.730000,7.730000,17620000
2002-05-13,7.830000,8.115000,7.825000,7.990000,7.990000,14218400
2002-05-14,8.345000,8.910000,8.325000,8.775000,8.775000,24921600
2002-05-15,8.585000,8.990000,8.525000,8.890000,8.890000,21283600
2002-05-16,8.830000,9.100000,8.775000,9.015000,9.015000,14107400
2002-05-17,9.095000,9.225000,8.835000,9.000000,9.000000,12264200
2002-05-20,8.855000,8.860000,8.445000,8.585000,8.585000,14262800
2002-05-21,8.610000,8.635000,8.250000,8.365000,8.365000,9908600
2002-05-22,8.295000,8.570000,7.965000,8.135000,8.135000,16974200
2002-05-23,8.265000,8.565000,8.125000,8.545000,8.545000,14567800
2002-05-24,8.435000,8.550000,8.250000,8.505000,8.505000,8892600
2002-05-28,8.575000,8.580000,8.080000,8.275000,8.275000,9969600
2002-05-29,8.245000,8.440000,8.115000,8.290000,8.290000,10859600
2002-05-30,8.180000,8.330000,8.025000,8.210000,8.210000,9002800
2002-05-31,8.315000,8.350000,7.975000,8.010000,8.010000,11485200
2002-06-03,8.060000,8.200000,7.825000,7.840000,7.840000,12299800
2002-06-04,7.755000,8.150000,7.575000,8.000000,8.000000,15346800
2002-06-05,8.030000,8.045000,7.745000,8.005000,8.005000,11977400
2002-06-06,7.985000,8.210000,7.855000,7.995000,7.995000,13621000
2002-06-07,7.750000,8.115000,7.725000,7.930000,7.930000,15696600
2002-06-10,7.935000,8.105000,7.775000,7.920000,7.920000,9751200
2002-06-11,7.985000,8.195000,7.880000,7.930000,7.930000,10988400
2002-06-12,7.815000,8.025000,7.540000,7.915000,7.915000,17325200
2002-06-13,7.815000,8.100000,7.750000,7.985000,7.985000,10379800
2002-06-14,7.750000,8.035000,7.510000,7.980000,7.980000,13859800
2002-06-17,7.955000,8.535000,7.885000,8.390000,8.390000,14372200
2002-06-18,8.260000,8.525000,8.225000,8.325000,8.325000,11408600
2002-06-19,8.230000,8.435000,8.005000,8.010000,8.010000,13765800
2002-06-20,8.015000,8.110000,7.735000,7.825000,7.825000,14256800
2002-06-21,7.530000,7.800000,7.450000,7.745000,7.745000,17888200
2002-06-24,7.695000,7.700000,7.265000,7.540000,7.540000,19801800
2002-06-25,7.600000,7.685000,6.735000,6.860000,6.860000,29930600
2002-06-26,6.515000,7.350000,6.410000,7.090000,7.090000,27075400
2002-06-27,7.215000,7.350000,6.620000,7.090000,7.090000,23792600
2002-06-28,7.050000,7.435000,6.960000,7.380000,7.380000,13724200
2002-07-01,7.380000,7.430000,6.775000,6.815000,6.815000,15985000
2002-07-02,6.790000,6.795000,5.830000,5.940000,5.940000,34056000
2002-07-03,5.975000,6.490000,5.935000,6.390000,6.390000,25270400
2002-07-05,6.590000,6.825000,6.500000,6.810000,6.810000,9540600
2002-07-08,6.650000,6.900000,6.425000,6.445000,6.445000,21260400
2002-07-09,6.490000,6.560000,6.275000,6.350000,6.350000,18565400
2002-07-10,6.460000,6.535000,6.030000,6.095000,6.095000,43756600
2002-07-11,5.575000,6.580000,5.555000,6.460000,6.460000,80174600
2002-07-12,6.395000,6.665000,6.310000,6.470000,6.470000,35516000
2002-07-15,6.405000,6.835000,6.180000,6.530000,6.530000,39270800
2002-07-16,6.430000,7.165000,6.410000,6.880000,6.880000,34376200
2002-07-17,7.120000,7.400000,6.960000,7.130000,7.130000,31584000
2002-07-18,7.035000,7.125000,6.765000,6.790000,6.790000,21366600
2002-07-19,6.670000,6.740000,6.490000,6.685000,6.685000,19755600
2002-07-22,6.580000,6.985000,6.420000,6.660000,6.660000,26279400
2002-07-23,6.770000,6.845000,6.325000,6.330000,6.330000,24089400
2002-07-24,6.150000,6.795000,5.950000,6.790000,6.790000,30755600
2002-07-25,6.530000,6.570000,5.955000,6.080000,6.080000,39191600
2002-07-26,6.235000,6.425000,6.095000,6.350000,6.350000,24620400
2002-07-29,6.475000,6.635000,6.420000,6.595000,6.595000,17167200
2002-07-30,6.460000,6.945000,6.435000,6.695000,6.695000,19163200
2002-07-31,6.580000,6.740000,6.465000,6.585000,6.585000,14406800
2002-08-01,6.530000,6.535000,6.055000,6.080000,6.080000,16597800
2002-08-02,6.085000,6.090000,5.660000,5.790000,5.790000,17923400
2002-08-05,5.795000,5.815000,5.375000,5.445000,5.445000,16354600
2002-08-06,5.620000,5.970000,5.555000,5.750000,5.750000,15271000
2002-08-07,6.005000,6.095000,5.375000,5.715000,5.715000,16859000
2002-08-08,5.695000,6.050000,5.650000,5.980000,5.980000,13103000
2002-08-09,5.875000,6.095000,5.815000,5.980000,5.980000,9686400
2002-08-12,5.840000,5.990000,5.745000,5.985000,5.985000,9145000
2002-08-13,5.945000,6.225000,5.580000,5.595000,5.595000,20229400
2002-08-14,5.565000,5.985000,5.465000,5.855000,5.855000,19843800
2002-08-15,5.950000,6.145000,5.880000,6.110000,6.110000,13778400
2002-08-16,6.060000,6.135000,5.830000,6.050000,6.050000,14823000
2002-08-19,6.025000,6.775000,6.020000,6.735000,6.735000,25111800
2002-08-20,6.585000,6.730000,6.450000,6.545000,6.545000,16508200
2002-08-21,6.675000,6.740000,6.350000,6.450000,6.450000,20940400
2002-08-22,6.510000,6.550000,6.265000,6.400000,6.400000,21010800
2002-08-23,6.375000,6.385000,5.900000,6.010000,6.010000,17538200
2002-08-26,6.080000,6.085000,5.570000,5.655000,5.655000,22961600
2002-08-27,5.765000,5.765000,5.280000,5.350000,5.350000,25004800
2002-08-28,5.320000,5.325000,4.565000,4.565000,4.565000,55790200
2002-08-29,4.870000,5.205000,4.860000,5.125000,5.125000,70994200
2002-08-30,5.085000,5.225000,5.005000,5.145000,5.145000,23827400
2002-09-03,5.020000,5.040000,4.805000,4.855000,4.855000,26393200
2002-09-04,4.890000,4.975000,4.715000,4.885000,4.885000,26636600
2002-09-05,4.815000,4.815000,4.570000,4.595000,4.595000,19218400
2002-09-06,4.780000,5.010000,4.755000,4.970000,4.970000,17477400
2002-09-09,4.815000,5.180000,4.760000,5.075000,5.075000,18977400
2002-09-10,5.075000,5.340000,5.065000,5.230000,5.230000,19370400
2002-09-11,5.215000,5.550000,5.215000,5.360000,5.360000,15065800
2002-09-12,5.240000,5.310000,5.125000,5.175000,5.175000,20129400
2002-09-13,5.100000,5.325000,5.015000,5.230000,5.230000,13731400
2002-09-16,5.230000,5.295000,5.090000,5.090000,5.090000,9599200
2002-09-17,5.325000,5.340000,5.000000,5.005000,5.005000,10153200
2002-09-18,5.000000,5.060000,4.835000,5.000000,5.000000,9826200
2002-09-19,4.780000,4.950000,4.750000,4.750000,4.750000,9647400
2002-09-20,4.850000,4.885000,4.700000,4.875000,4.875000,12771200
2002-09-23,4.790000,4.825000,4.500000,4.540000,4.540000,16616400
2002-09-24,4.475000,4.730000,4.470000,4.500000,4.500000,18029000
2002-09-25,4.625000,5.030000,4.525000,4.955000,4.955000,24466200
2002-09-26,5.115000,5.355000,5.060000,5.295000,5.295000,36120400
2002-09-27,5.100000,5.410000,5.075000,5.290000,5.290000,14591000
2002-09-30,5.190000,5.190000,4.770000,4.785000,4.785000,21264200
2002-10-01,4.950000,4.970000,4.660000,4.850000,4.850000,18278800
2002-10-02,4.835000,5.140000,4.700000,4.740000,4.740000,17789000
2002-10-03,4.780000,5.000000,4.650000,4.695000,4.695000,12065600
2002-10-04,4.770000,4.785000,4.625000,4.670000,4.670000,11016800
2002-10-07,4.625000,4.745000,4.505000,4.540000,4.540000,10617800
2002-10-08,4.690000,4.790000,4.530000,4.750000,4.750000,16115000
2002-10-09,4.720000,5.045000,4.640000,4.990000,4.990000,38622600
2002-10-10,5.680000,6.150000,5.650000,6.135000,6.135000,125565800
2002-10-11,6.125000,6.750000,6.125000,6.680000,6.680000,65590000
2002-10-14,6.445000,7.350000,6.440000,7.130000,7.130000,65224200
2002-10-15,7.490000,7.615000,7.070000,7.210000,7.210000,75204200
2002-10-16,6.900000,7.415000,6.860000,7.340000,7.340000,45494600
2002-10-17,7.370000,7.490000,6.955000,7.335000,7.335000,45500400
2002-10-18,7.205000,7.525000,7.145000,7.515000,7.515000,30130400
2002-10-21,7.305000,7.550000,7.125000,7.480000,7.480000,35637800
2002-10-22,7.255000,7.455000,7.155000,7.425000,7.425000,29231800
2002-10-23,7.280000,7.535000,7.175000,7.535000,7.535000,29811600
2002-10-24,7.700000,7.795000,7.425000,7.530000,7.530000,35035000
2002-10-25,7.425000,7.520000,7.350000,7.460000,7.460000,24087400
2002-10-28,7.675000,7.675000,7.265000,7.330000,7.330000,20800000
2002-10-29,7.255000,7.400000,7.110000,7.150000,7.150000,19701000
2002-10-30,7.145000,7.530000,7.050000,7.490000,7.490000,18673200
2002-10-31,7.510000,7.660000,7.355000,7.460000,7.460000,20530800
2002-11-01,7.350000,7.615000,7.250000,7.575000,7.575000,19034000
2002-11-04,7.755000,8.745000,7.750000,8.385000,8.385000,45498600
2002-11-05,8.150000,8.545000,8.130000,8.515000,8.515000,24968000
2002-11-06,8.545000,8.720000,8.310000,8.690000,8.690000,50040000
2002-11-07,8.075000,8.090000,7.665000,7.800000,7.800000,45190000
2002-11-08,7.740000,7.970000,7.680000,7.840000,7.840000,18175400
2002-11-11,7.765000,7.850000,7.425000,7.460000,7.460000,15788200
2002-11-12,7.545000,7.865000,7.420000,7.740000,7.740000,16587000
2002-11-13,7.695000,7.950000,7.540000,7.720000,7.720000,21902200
2002-11-14,7.980000,8.375000,7.925000,8.350000,8.350000,21356200
2002-11-15,8.190000,8.755000,8.000000,8.725000,8.725000,29216000
2002-11-18,8.700000,9.000000,8.695000,8.880000,8.880000,19682600
2002-11-19,8.630000,8.795000,8.285000,8.375000,8.375000,21809200
2002-11-20,8.585000,9.005000,8.425000,9.000000,9.000000,21584600
2002-11-21,8.995000,9.400000,8.965000,9.155000,9.155000,27018400
2002-11-22,9.350000,9.380000,9.055000,9.200000,9.200000,16801400
2002-11-25,9.250000,9.300000,8.925000,9.195000,9.195000,15369200
2002-11-26,9.210000,9.250000,8.950000,9.065000,9.065000,18048200
2002-11-27,9.165000,9.295000,9.085000,9.195000,9.195000,12832400
2002-11-29,9.245000,9.300000,9.045000,9.135000,9.135000,8669600
2002-12-02,9.350000,9.485000,8.960000,9.020000,9.020000,15975200
2002-12-03,8.680000,8.810000,8.610000,8.680000,8.680000,14968400
2002-12-04,8.580000,8.625000,8.285000,8.370000,8.370000,21054800
2002-12-05,8.530000,8.560000,8.250000,8.275000,8.275000,10059200
2002-12-06,8.160000,8.470000,8.085000,8.370000,8.370000,9903400
2002-12-09,8.300000,8.330000,7.855000,7.870000,7.870000,12543800
2002-12-10,7.935000,8.345000,7.935000,8.135000,8.135000,16256400
2002-12-11,8.150000,8.390000,8.045000,8.230000,8.230000,10198600
2002-12-12,8.400000,8.925000,8.180000,8.840000,8.840000,25788000
2002-12-13,8.700000,9.095000,8.640000,8.700000,8.700000,31478800
2002-12-16,8.690000,8.800000,8.520000,8.650000,8.650000,18587400
2002-12-17,8.550000,8.875000,8.545000,8.760000,8.760000,15719400
2002-12-18,8.610000,8.675000,8.295000,8.400000,8.400000,13168600
2002-12-19,8.285000,8.560000,8.050000,8.355000,8.355000,21200200
2002-12-20,8.505000,8.575000,8.350000,8.540000,8.540000,18247400
2002-12-23,8.400000,8.890000,8.285000,8.860000,8.860000,14434400
2002-12-24,8.665000,8.900000,8.660000,8.685000,8.685000,6323400
2002-12-26,8.660000,8.770000,8.425000,8.475000,8.475000,9446200
2002-12-27,8.430000,8.690000,8.215000,8.290000,8.290000,9223400
2002-12-30,8.225000,8.405000,8.090000,8.240000,8.240000,11204800
2002-12-31,8.175000,8.310000,8.090000,8.175000,8.175000,8761000
2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400
2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600
2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400
2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600
2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600
2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400
2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600
2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600
2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600
2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000
2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400
2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600
2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600
2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600
2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400
2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400
2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600
2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800
2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800
2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000
2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000
2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600
2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400
2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800
2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000
2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200
2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400
2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800
2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000
2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800
2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600
2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400
2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400
2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000
2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200
2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400
2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200
2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400
2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600
2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000
2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600
2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000
2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000
2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200
2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200
2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800
2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800
2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400
2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400
2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000
2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000
2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000
2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000
2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600
2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200
2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000
2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400
2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800
2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400
2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600
2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200
2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200
2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400
2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400
2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200
2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400
2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000
2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400
2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000
2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000
2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000
2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400
2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600
2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000
2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800
2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200
2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000
2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600
2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800
2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400
2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400
2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800
2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600
2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000
2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600
2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600
2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200
2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200
2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000
2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200
2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200
2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400
2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400
2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200
2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400
2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400
2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400
2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600
2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200
2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600
2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200
2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800
2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800
2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600
2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400
2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000
2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800
2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200
2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400
2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600
2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800
2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000
2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000
2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000
2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600
2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800
2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200
2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800
2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200
2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600
2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600
2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600
2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200
2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200
2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600
2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800
2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600
2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200
2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200
2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200
2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800
2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000
2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600
2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200
2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000
2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600
2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200
2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800
2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400
2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400
2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000
2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800
2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800
2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200
2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800
2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000
2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200
2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200
2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200
2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000
2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600
2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000
2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400
2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200
2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400
2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400
2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000
2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800
2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600
2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200
2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000
2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000
2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800
2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400
2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800
2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400
2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400
2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000
2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600
2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200
2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800
2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600
2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200
2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200
2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000
2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400
2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400
2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600
2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000
2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800
2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800
2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000
2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600
2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000
2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000
2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000
2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600
2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000
2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400
2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000
2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800
2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400
2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000
2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600
2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800
2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200
2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800
2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800
2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600
2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800
2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000
2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600
2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400
2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000
2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400
2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600
2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000
2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600
2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800
2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800
2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000
2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400
2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800
2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200
2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200
2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600
2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200
2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600
2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800
2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200
2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600
2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400
2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800
2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000
2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400
2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200
2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000
2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800
2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600
2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200
2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000
2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400
2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400
2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800
2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000
2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600
2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000
2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400
2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000
2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800
2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000
2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600
2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600
2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800
2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800
2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400
2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800
2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400
2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400
2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400
2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200
2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600
2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000
2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800
2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800
2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000
2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200
2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400
2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400
2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400
2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200
2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800
2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600
2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000
2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800
2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000
2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400
2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000
2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800
2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200
2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200
2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400
2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400
2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400
2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400
2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400
2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600
2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600
2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800
2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200
2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000
2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400
2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800
2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000
2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800
2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000
2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400
2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200
2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000
2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200
2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600
2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200
2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200
2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400
2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400
2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600
2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600
2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200
2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600
2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800
2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800
2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200
2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800
2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200
2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200
2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000
2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600
2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400
2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400
2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000
2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800
2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600
2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400
2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800
2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000
2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600
2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400
2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800
2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600
2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800
2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800
2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600
2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400
2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400
2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600
2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800
2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800
2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200
2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000
2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200
2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400
2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600
2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400
2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400
2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600
2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200
2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800
2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000
2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600
2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000
2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600
2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400
2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100
2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800
2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900
2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900
2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700
2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100
2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200
2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000
2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900
2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100
2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100
2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100
2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800
2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700
2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600
2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900
2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800
2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200
2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200
2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900
2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700
2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900
2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000
2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800
2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700
2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400
2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400
2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600
2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700
2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000
2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800
2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200
2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200
2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100
2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400
2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300
2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900
2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600
2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700
2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600
2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900
2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300
2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700
2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000
2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300
2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300
2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500
2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300
2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400
2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300
2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500
2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200
2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700
2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300
2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700
2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800
2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200
2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500
2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000
2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200
2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700
2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700
2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300
2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300
2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400
2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600
2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800
2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300
2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500
2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700
2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400
2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400
2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100
2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000
2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500
2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700
2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700
2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100
2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700
2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700
2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200
2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200
2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800
2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500
2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400
2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600
2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900
2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100
2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000
2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200
2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500
2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800
2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100
2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600
2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800
2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200
2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700
2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900
2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300
2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100
2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400
2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000
2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700
2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700
2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400
2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000
2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300
2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600
2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500
2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400
2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600
2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900
2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000
2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200
2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300
2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700
2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100
2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200
2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500
2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900
2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400
2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500
2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300
2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100
2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500
2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800
2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400
2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100
2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200
2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100
2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100
2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100
2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000
2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600
2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100
2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000
2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200
2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900
2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100
2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100
2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800
2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500
2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900
2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500
2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900
2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800
2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700
2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700
2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600
2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500
2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500
2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300
2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900
2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400
2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500
2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700
2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500
2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800
2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000
2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200
2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700
2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600
2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800
2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300
2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100
2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300
2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300
2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800
2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900
2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700
2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500
2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700
2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600
2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200
2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100
2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000
2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400
2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400
2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500
2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800
2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700
2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200
2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600
2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200
2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400
2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200
2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900
2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500
2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100
2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400
2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800
2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300
2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900
2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200
2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500
2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100
2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600
2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100
2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300
2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900
2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400
2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500
2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200
2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100
2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800
2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200
2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300
2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400
2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200
2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800
2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000
2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800
2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000
2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200
2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400
2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400
2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600
2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100
2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000
2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400
2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700
2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900
2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000
2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400
2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300
2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900
2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000
2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000
2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300
2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500
2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900
2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100
2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300
2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500
2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200
2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500
2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400
2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600
2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800
2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600
2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200
2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300
2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300
2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100
2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500
2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800
2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900
2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300
2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200
2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700
2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000
2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100
2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700
2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900
2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900
2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400
2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000
2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100
2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900
2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200
2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300
2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100
2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700
2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600
2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300
2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800
2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700
2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300
2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000
2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300
2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100
2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100
2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900
2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300
2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200
2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900
2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700
2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800
2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200
2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200
2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100
2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700
2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200
2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700
2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200
2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900
2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500
2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600
2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700
2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700
2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300
2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400
2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000
2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800
2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500
2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200
2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200
2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300
2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500
2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300
2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500
2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500
2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600
2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200
2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500
2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600
2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100
2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100
2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900
2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600
2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400
2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800
2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200
2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400
2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900
2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900
2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100
2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500
2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100
2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700
2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200
2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400
2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400
2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700
2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500
2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900
2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400
2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600
2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000
2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500
2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500
2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000
2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300
2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300
2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400
2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900
2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300
2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600
2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400
2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800
2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300
2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900
2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900
2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000
2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400
2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700
2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200
2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900
2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800
2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100
2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000
2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500
2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000
2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000
2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100
2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200
2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800
2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700
2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600
2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600
2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200
2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600
2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300
2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000
2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000
2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400
2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900
2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100
2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600
2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000
2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800
2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100
2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100
2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200
2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800
2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100
2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700
2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400
2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600
2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400
2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400
2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500
2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600
2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600
2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000
2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600
2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500
2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500
2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000
2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000
2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900
2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200
2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700
2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600
2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400
2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400
2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800
2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900
2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600
2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900
2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300
2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700
2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200
2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800
2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000
2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700
2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500
2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900
2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300
2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200
2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900
2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900
2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600
2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000
2006-01-03,39.689999,41.220001,38.790001,40.910000,40.910000,24227700
2006-01-04,41.220001,41.900002,40.770000,40.970001,40.970001,20549000
2006-01-05,40.930000,41.730000,40.849998,41.529999,41.529999,12829100
2006-01-06,42.880001,43.570000,42.799999,43.209999,43.209999,29418400
2006-01-09,43.099998,43.660000,42.820000,43.419998,43.419998,16266900
2006-01-10,42.959999,43.340000,42.340000,42.980000,42.980000,16287200
2006-01-11,42.189999,42.310001,41.720001,41.869999,41.869999,26191400
2006-01-12,41.919998,41.990002,40.759998,40.889999,40.889999,18921700
2006-01-13,41.000000,41.080002,39.619999,39.900002,39.900002,30960800
2006-01-17,39.090000,40.389999,38.959999,40.110001,40.110001,41797000
2006-01-18,35.009998,36.160000,34.740002,35.180000,35.180000,118556100
2006-01-19,35.820000,35.840000,34.240002,34.330002,34.330002,60913000
2006-01-20,34.439999,34.660000,33.209999,33.740002,33.740002,57644600
2006-01-23,34.220001,34.400002,33.980000,34.169998,34.169998,30887600
2006-01-24,34.549999,35.200001,34.509998,34.869999,34.869999,31667800
2006-01-25,35.430000,35.480000,34.380001,34.490002,34.490002,23779200
2006-01-26,34.939999,35.250000,34.490002,35.169998,35.169998,28471400
2006-01-27,35.259998,35.270000,34.660000,35.090000,35.090000,24317400
2006-01-30,35.090000,35.230000,34.880001,35.049999,35.049999,29030600
2006-01-31,35.200001,35.200001,34.310001,34.380001,34.380001,36538000
2006-02-01,34.450001,35.000000,34.349998,35.000000,35.000000,43600400
2006-02-02,35.009998,35.099998,34.099998,34.250000,34.250000,18323500
2006-02-03,34.000000,34.049999,33.259998,33.540001,33.540001,32639600
2006-02-06,33.900002,33.950001,32.779999,32.919998,32.919998,23523100
2006-02-07,33.009998,33.099998,32.320000,33.020000,33.020000,37236800
2006-02-08,33.240002,33.400002,32.509998,33.000000,33.000000,28112900
2006-02-09,33.009998,33.360001,32.400002,32.500000,32.500000,25335200
2006-02-10,32.580002,32.599998,32.099998,32.509998,32.509998,19628600
2006-02-13,32.209999,32.439999,31.700001,32.040001,32.040001,26139300
2006-02-14,32.139999,32.830002,32.049999,32.720001,32.720001,26198600
2006-02-15,32.619999,33.330002,32.549999,33.020000,33.020000,19542100
2006-02-16,33.299999,33.400002,32.599998,32.750000,32.750000,19500100
2006-02-17,32.880001,33.139999,32.709999,32.759998,32.759998,12620200
2006-02-21,32.900002,33.070000,32.380001,32.389999,32.389999,14328100
2006-02-22,32.490002,33.340000,32.400002,33.160000,33.160000,18433500
2006-02-23,33.009998,33.660000,32.880001,33.150002,33.150002,14947600
2006-02-24,33.200001,33.340000,32.919998,33.009998,33.009998,10136400
2006-02-27,33.110001,33.209999,32.570000,32.740002,32.740002,11821900
2006-02-28,32.630001,32.980000,31.340000,32.060001,32.060001,39926200
2006-03-01,32.209999,32.419998,31.719999,32.180000,32.180000,18466100
2006-03-02,32.009998,32.110001,31.580000,31.700001,31.700001,23487300
2006-03-03,31.700001,32.070000,31.379999,31.450001,31.450001,23196000
2006-03-06,31.530001,31.940001,31.450001,31.570000,31.570000,17211200
2006-03-07,31.420000,32.200001,31.309999,31.430000,31.430000,23365100
2006-03-08,31.309999,31.549999,30.820000,30.990000,30.990000,20910200
2006-03-09,31.049999,31.320000,30.250000,30.280001,30.280001,18277000
2006-03-10,30.400000,31.100000,29.750000,30.580000,30.580000,28991400
2006-03-13,30.719999,30.969999,30.120001,30.150000,30.150000,18437700
2006-03-14,30.100000,31.000000,30.100000,30.990000,30.990000,19294700
2006-03-15,31.250000,31.280001,30.469999,30.530001,30.530001,20758000
2006-03-16,30.770000,30.879999,30.100000,30.129999,30.129999,17108000
2006-03-17,30.350000,30.360001,29.830000,30.070000,30.070000,23629700
2006-03-20,30.379999,30.930000,30.200001,30.440001,30.440001,21455200
2006-03-21,30.110001,30.780001,30.020000,30.110001,30.110001,18876400
2006-03-22,30.330000,30.910000,30.309999,30.750000,30.750000,23147400
2006-03-23,31.520000,31.950001,31.480000,31.830000,31.830000,33834000
2006-03-24,32.279999,32.310001,31.530001,31.770000,31.770000,17816500
2006-03-27,31.840000,32.080002,31.299999,31.450001,31.450001,14858500
2006-03-28,31.450001,32.500000,31.410000,32.389999,32.389999,25981500
2006-03-29,32.439999,32.910000,32.139999,32.560001,32.560001,25508200
2006-03-30,32.750000,32.830002,32.090000,32.419998,32.419998,14314000
2006-03-31,32.450001,32.630001,32.009998,32.259998,32.259998,12677300
2006-04-03,32.410000,32.529999,31.790001,31.889999,31.889999,14887900
2006-04-04,31.690001,32.250000,31.660000,32.099998,32.099998,16232700
2006-04-05,32.299999,32.500000,31.959999,32.110001,32.110001,11982500
2006-04-06,32.119999,33.139999,32.110001,32.790001,32.790001,21572600
2006-04-07,32.849998,32.970001,32.209999,32.270000,32.270000,12980200
2006-04-10,32.279999,32.630001,32.119999,32.549999,32.549999,9618000
2006-04-11,32.450001,32.599998,31.150000,31.389999,31.389999,22105600
2006-04-12,31.440001,31.500000,30.889999,31.100000,31.100000,14926900
2006-04-13,31.139999,31.400000,30.850000,31.129999,31.129999,15609800
2006-04-17,31.160000,31.790001,30.660000,30.969999,30.969999,18239900
2006-04-18,31.170000,31.379999,30.530001,31.299999,31.299999,38604500
2006-04-19,33.470001,33.980000,32.759998,33.540001,33.540001,77253600
2006-04-20,33.480000,33.700001,32.930000,33.369999,33.369999,23403900
2006-04-21,33.360001,34.090000,32.700001,32.889999,32.889999,25215000
2006-04-24,33.009998,33.450001,32.900002,33.009998,33.009998,15441600
2006-04-25,32.990002,33.060001,31.879999,31.990000,31.990000,22363200
2006-04-26,32.299999,33.090000,32.099998,33.000000,33.000000,24426400
2006-04-27,32.790001,33.500000,32.400002,33.200001,33.200001,19635700
2006-04-28,32.880001,33.450001,32.779999,32.779999,32.779999,13283500
2006-05-01,32.990002,33.099998,31.860001,32.080002,32.080002,19752200
2006-05-02,32.200001,32.910000,31.719999,31.850000,31.850000,16276000
2006-05-03,32.400002,33.000000,31.750000,32.169998,32.169998,23292600
2006-05-04,32.400002,32.560001,32.080002,32.189999,32.189999,10402300
2006-05-05,32.630001,32.750000,32.220001,32.660000,32.660000,14689200
2006-05-08,33.090000,33.430000,32.630001,32.869999,32.869999,18188200
2006-05-09,32.680000,34.000000,32.349998,32.490002,32.490002,13396400
2006-05-10,32.480000,32.560001,32.000000,32.090000,32.090000,13797500
2006-05-11,31.959999,32.169998,30.870001,30.990000,30.990000,24277000
2006-05-12,30.709999,31.180000,30.379999,30.809999,30.809999,16745600
2006-05-15,30.850000,31.250000,30.600000,31.030001,31.030001,13350700
2006-05-16,31.100000,31.219999,30.629999,30.969999,30.969999,15333700
2006-05-17,30.610001,31.260000,30.040001,30.110001,30.110001,39847500
2006-05-18,30.100000,30.360001,28.930000,29.000000,29.000000,38254000
2006-05-19,29.049999,29.750000,28.600000,29.530001,29.530001,33121900
2006-05-22,30.420000,30.980000,29.889999,30.459999,30.459999,35089300
2006-05-23,31.040001,31.629999,30.760000,30.760000,30.760000,28583400
2006-05-24,30.950001,32.020000,30.709999,31.790001,31.790001,27286300
2006-05-25,32.939999,33.500000,32.500000,32.919998,32.919998,34732700
2006-05-26,32.860001,33.020000,32.349998,33.020000,33.020000,13842600
2006-05-30,32.730000,32.889999,31.790001,32.000000,32.000000,16247600
2006-05-31,32.189999,32.320000,31.110001,31.590000,31.590000,21306700
2006-06-01,31.830000,32.000000,31.490000,31.990000,31.990000,16652400
2006-06-02,32.110001,32.189999,31.299999,31.520000,31.520000,16470900
2006-06-05,31.190001,31.430000,30.790001,30.820000,30.820000,17188500
2006-06-06,30.830000,30.969999,30.350000,30.700001,30.700001,15615600
2006-06-07,30.799999,31.250000,30.360001,30.540001,30.540001,17470100
2006-06-08,30.430000,30.990000,29.830000,30.450001,30.450001,20538600
2006-06-09,30.700001,30.799999,30.230000,30.370001,30.370001,10044700
2006-06-12,30.370001,30.650000,29.660000,29.780001,29.780001,14344600
2006-06-13,29.770000,30.200001,29.510000,29.650000,29.650000,16435700
2006-06-14,29.809999,30.000000,29.250000,29.620001,29.620001,19257500
2006-06-15,29.980000,30.959999,29.719999,30.790001,30.790001,22375000
2006-06-16,30.700001,30.860001,30.150000,30.360001,30.360001,12951700
2006-06-19,30.510000,30.750000,30.059999,30.350000,30.350000,12236700
2006-06-20,30.420000,30.650000,30.100000,30.600000,30.600000,12613200
2006-06-21,30.770000,31.540001,30.650000,31.059999,31.059999,18252900
2006-06-22,30.850000,31.160000,30.440001,30.680000,30.680000,11500300
2006-06-23,31.080000,31.760000,30.820000,31.370001,31.370001,17378500
2006-06-26,31.450001,31.700001,31.160000,31.549999,31.549999,11457000
2006-06-27,31.850000,32.220001,31.320000,31.510000,31.510000,16589400
2006-06-28,31.750000,32.169998,31.700001,31.920000,31.920000,14032800
2006-06-29,32.259998,33.000000,32.200001,32.970001,32.970001,15745900
2006-06-30,33.009998,33.119999,32.540001,33.000000,33.000000,22566600
2006-07-03,32.900002,33.439999,32.900002,33.299999,33.299999,8067100
2006-07-05,32.849998,32.990002,32.330002,32.470001,32.470001,13453900
2006-07-06,32.770000,33.220001,32.700001,33.110001,33.110001,13801500
2006-07-07,32.939999,33.049999,32.369999,32.500000,32.500000,12372500
2006-07-10,32.910000,33.139999,32.730000,32.849998,32.849998,15317600
2006-07-11,32.790001,33.349998,32.320000,33.169998,33.169998,11285900
2006-07-12,33.029999,33.740002,32.990002,33.380001,33.380001,18708400
2006-07-13,32.849998,33.160000,32.070000,32.230000,32.230000,19463500
2006-07-14,32.340000,32.480000,31.850000,32.080002,32.080002,12484700
2006-07-17,31.980000,32.400002,31.690001,31.840000,31.840000,16369600
2006-07-18,32.080002,32.259998,31.250000,32.240002,32.240002,39767700
2006-07-19,26.410000,26.700001,25.040001,25.200001,25.200001,204339000
2006-07-20,25.549999,26.209999,24.910000,25.270000,25.270000,54659700
2006-07-21,24.990000,26.059999,24.910000,25.889999,25.889999,36187100
2006-07-24,26.240000,27.230000,25.889999,26.940001,26.940001,42631300
2006-07-25,26.750000,27.190001,26.570000,26.950001,26.950001,21388800
2006-07-26,26.780001,27.510000,26.570000,27.080000,27.080000,20073800
2006-07-27,27.350000,27.500000,26.639999,26.700001,26.700001,25153000
2006-07-28,26.900000,27.500000,26.330000,27.469999,27.469999,21584800
2006-07-31,27.459999,27.549999,26.990000,27.139999,27.139999,16492600
2006-08-01,27.059999,27.120001,26.740000,26.940001,26.940001,18613100
2006-08-02,27.010000,27.100000,26.450001,26.629999,26.629999,18116200
2006-08-03,26.500000,27.049999,26.400000,26.900000,26.900000,15468500
2006-08-04,27.200001,27.580000,26.830000,26.990000,26.990000,11607900
2006-08-07,26.920000,27.110001,26.580000,27.080000,27.080000,12847200
2006-08-08,26.950001,27.700001,26.629999,27.440001,27.440001,19332800
2006-08-09,27.750000,27.850000,27.000000,27.219999,27.219999,14736100
2006-08-10,26.950001,27.799999,26.850000,27.490000,27.490000,12597900
2006-08-11,27.520000,27.719999,27.400000,27.500000,27.500000,9252200
2006-08-14,27.709999,27.799999,27.000000,27.260000,27.260000,10640100
2006-08-15,27.580000,28.200001,27.480000,28.170000,28.170000,15298500
2006-08-16,28.350000,28.459999,27.969999,28.389999,28.389999,12589400
2006-08-17,28.379999,29.320000,28.340000,28.910000,28.910000,17251600
2006-08-18,28.900000,29.969999,28.770000,29.780001,29.780001,19611300
2006-08-21,29.219999,29.520000,28.830000,28.900000,28.900000,11575200
2006-08-22,28.840000,29.650000,28.799999,29.260000,29.260000,10891800
2006-08-23,29.340000,29.469999,28.680000,28.700001,28.700001,8837400
2006-08-24,28.750000,29.129999,28.700001,28.990000,28.990000,8983600
2006-08-25,28.950001,29.280001,28.740000,28.770000,28.770000,6203800
2006-08-28,28.750000,29.250000,28.700001,28.910000,28.910000,10404700
2006-08-29,28.860001,29.010000,28.510000,28.959999,28.959999,9888800
2006-08-30,29.000000,29.139999,28.709999,29.020000,29.020000,13119300
2006-08-31,28.990000,29.020000,28.590000,28.830000,28.830000,8879300
2006-09-01,28.910000,29.530001,28.910000,29.490000,29.490000,11573600
2006-09-05,29.450001,29.480000,28.950001,29.070000,29.070000,11425600
2006-09-06,28.940001,29.010000,28.490000,28.500000,28.500000,12800600
2006-09-07,28.400000,28.510000,27.820000,27.860001,27.860001,18434400
2006-09-08,28.040001,28.320000,27.969999,28.139999,28.139999,9781800
2006-09-11,28.049999,28.730000,27.670000,28.610001,28.610001,12936000
2006-09-12,28.549999,29.219999,28.459999,29.090000,29.090000,10005000
2006-09-13,29.059999,29.370001,28.799999,29.170000,29.170000,15248400
2006-09-14,29.100000,29.240000,28.889999,29.030001,29.030001,9565500
2006-09-15,29.299999,29.570000,29.219999,29.320000,29.320000,19550300
2006-09-18,29.370001,29.389999,28.580000,29.000000,29.000000,15685000
2006-09-19,29.090000,29.129999,25.100000,25.750000,25.750000,127718600
2006-09-20,26.040001,26.090000,25.379999,25.639999,25.639999,55636600
2006-09-21,25.530001,25.950001,25.209999,25.340000,25.340000,28584500
2006-09-22,25.340000,25.690001,25.180000,25.520000,25.520000,20667400
2006-09-25,25.639999,25.870001,25.200001,25.290001,25.290001,19992400
2006-09-26,25.440001,25.480000,24.809999,25.049999,25.049999,34950100
2006-09-27,25.000000,25.010000,24.600000,24.650000,24.650000,29835900
2006-09-28,24.870001,25.500000,24.840000,25.330000,25.330000,35331200
2006-09-29,25.500000,25.590000,25.240000,25.280001,25.280001,18982600
2006-10-02,25.450001,25.459999,24.750000,24.879999,24.879999,19641300
2006-10-03,24.809999,25.000000,24.700001,24.840000,24.840000,21148300
2006-10-04,24.889999,25.260000,24.740000,25.209999,25.209999,21717900
2006-10-05,25.160000,25.250000,24.879999,25.180000,25.180000,17634000
2006-10-06,25.090000,25.500000,25.010000,25.469999,25.469999,20847000
2006-10-09,25.450001,25.719999,25.000000,25.030001,25.030001,15729500
2006-10-10,24.940001,25.030001,24.320000,24.469999,24.469999,30371900
2006-10-11,24.290001,24.639999,23.799999,24.240000,24.240000,39356300
2006-10-12,24.320000,24.379999,24.100000,24.120001,24.120001,25824500
2006-10-13,23.900000,24.500000,23.570000,24.420000,24.420000,51338900
2006-10-16,24.340000,24.520000,23.750000,24.180000,24.180000,36496400
2006-10-17,23.740000,24.350000,23.680000,24.150000,24.150000,67417200
2006-10-18,24.570000,24.750000,22.879999,22.990000,22.990000,111660900
2006-10-19,23.020000,23.590000,23.000000,23.139999,23.139999,42280400
2006-10-20,23.219999,23.270000,22.650000,23.209999,23.209999,49795600
2006-10-23,23.139999,23.500000,23.100000,23.370001,23.370001,26301200
2006-10-24,23.350000,23.639999,23.150000,23.530001,23.530001,31704000
2006-10-25,23.730000,24.639999,23.690001,24.490000,24.490000,40110600
2006-10-26,24.700001,25.330000,24.360001,25.280001,25.280001,38435800
2006-10-27,25.230000,25.600000,24.900000,25.340000,25.340000,29647200
2006-10-30,25.870001,26.400000,25.660000,25.950001,25.950001,35295800
2006-10-31,26.440001,26.700001,26.100000,26.340000,26.340000,33492800
2006-11-01,26.500000,26.620001,25.820000,25.990000,25.990000,26300200
2006-11-02,25.940001,26.600000,25.770000,26.530001,26.530001,34824500
2006-11-03,26.629999,26.700001,26.040001,26.180000,26.180000,15313800
2006-11-06,26.340000,26.700001,26.100000,26.590000,26.590000,22563600
2006-11-07,26.690001,27.150000,26.580000,26.610001,26.610001,28442700
2006-11-08,26.360001,27.250000,26.309999,26.900000,26.900000,23384800
2006-11-09,27.180000,27.650000,26.959999,27.450001,27.450001,27428600
2006-11-10,27.400000,27.500000,27.030001,27.389999,27.389999,21366600
2006-11-13,27.170000,27.620001,27.150000,27.400000,27.400000,16876500
2006-11-14,27.400000,27.500000,27.110001,27.240000,27.240000,20145700
2006-11-15,27.180000,27.500000,27.030001,27.150000,27.150000,22112700
2006-11-16,27.309999,27.330000,26.200001,26.639999,26.639999,38508500
2006-11-17,26.680000,27.049999,26.629999,26.910000,26.910000,17955200
2006-11-20,26.959999,27.040001,26.629999,26.719999,26.719999,20272000
2006-11-21,26.500000,27.340000,26.500000,27.139999,27.139999,21138300
2006-11-22,27.510000,28.559999,27.290001,28.490000,28.490000,32055800
2006-11-24,28.219999,28.490000,27.700001,28.030001,28.030001,9384400
2006-11-27,27.500000,28.500000,27.170000,27.270000,27.270000,19922300
2006-11-28,27.030001,27.240000,26.850000,27.000000,27.000000,14940800
2006-11-29,27.400000,27.400000,26.709999,27.040001,27.040001,19375100
2006-11-30,27.000000,27.150000,26.730000,27.010000,27.010000,14916300
2006-12-01,27.000000,27.250000,26.000000,26.490000,26.490000,20055800
2006-12-04,26.490000,27.299999,26.490000,26.889999,26.889999,28012700
2006-12-05,26.870001,27.610001,26.860001,27.430000,27.430000,27118200
2006-12-06,27.250000,27.450001,26.600000,26.860001,26.860001,35202800
2006-12-07,26.950001,27.160000,26.600000,26.629999,26.629999,22407000
2006-12-08,26.650000,26.780001,26.270000,26.340000,26.340000,19262200
2006-12-11,26.370001,26.700001,26.120001,26.490000,26.490000,12916900
2006-12-12,26.629999,27.379999,26.600000,26.750000,26.750000,31971600
2006-12-13,27.049999,27.230000,26.510000,26.600000,26.600000,20428600
2006-12-14,26.629999,26.969999,26.500000,26.870001,26.870001,14400300
2006-12-15,27.000000,27.219999,26.760000,26.900000,26.900000,27227300
2006-12-18,26.889999,26.969999,26.070000,26.299999,26.299999,19431200
2006-12-19,26.049999,26.500000,25.910000,26.410000,26.410000,18973800
2006-12-20,26.240000,26.309999,25.540001,25.590000,25.590000,24905600
2006-12-21,25.709999,25.750000,25.129999,25.480000,25.480000,27050600
2006-12-22,25.670000,25.879999,25.450001,25.549999,25.549999,14666100
2006-12-26,25.490000,25.610001,25.340000,25.450001,25.450001,8400500
2006-12-27,25.469999,25.879999,25.450001,25.750000,25.750000,12421800
2006-12-28,25.620001,25.719999,25.299999,25.360001,25.360001,11908400
2006-12-29,25.420000,25.820000,25.330000,25.540001,25.540001,16297800
2007-01-03,25.850000,26.260000,25.260000,25.610001,25.610001,26352700
2007-01-04,25.639999,26.920000,25.520000,26.850000,26.850000,32512200
2007-01-05,26.700001,27.870001,26.660000,27.740000,27.740000,64264600
2007-01-08,27.700001,28.040001,27.430000,27.920000,27.920000,25713700
2007-01-09,28.000000,28.049999,27.410000,27.580000,27.580000,25621500
2007-01-10,27.480000,28.920000,27.440001,28.700001,28.700001,40240000
2007-01-11,28.760000,29.370001,28.700001,29.200001,29.200001,28457500
2007-01-12,28.980000,29.500000,28.490000,29.450001,29.450001,20971100
2007-01-16,29.879999,29.879999,28.790001,29.290001,29.290001,24448400
2007-01-17,29.400000,29.400000,28.809999,29.049999,29.049999,17796100
2007-01-18,28.920000,28.990000,27.820000,28.120001,28.120001,23869400
2007-01-19,27.930000,28.340000,27.549999,27.639999,27.639999,24757700
2007-01-22,27.850000,27.900000,27.180000,27.420000,27.420000,23199800
2007-01-23,27.420000,27.540001,26.879999,26.959999,26.959999,43728100
2007-01-24,28.340000,29.200001,28.219999,28.940001,28.940001,81017500
2007-01-25,28.680000,29.049999,28.129999,28.209999,28.209999,28356200
2007-01-26,28.330000,28.520000,27.959999,28.040001,28.040001,21334800
2007-01-29,28.049999,28.209999,27.730000,27.870001,27.870001,16859000
2007-01-30,27.870001,28.389999,27.610001,28.040001,28.040001,13576600
2007-01-31,28.040001,28.480000,27.820000,28.309999,28.309999,14100300
2007-02-01,28.680000,28.709999,28.150000,28.350000,28.350000,17905200
2007-02-02,28.570000,28.920000,28.450001,28.770000,28.770000,16483100
2007-02-05,28.670000,28.799999,28.360001,28.559999,28.559999,11163300
2007-02-06,28.610001,29.559999,28.600000,29.350000,29.350000,24506800
2007-02-07,29.350000,30.150000,29.120001,29.889999,29.889999,29162600
2007-02-08,29.750000,30.240000,29.730000,30.080000,30.080000,15561700
2007-02-09,30.070000,30.160000,29.510000,29.740000,29.740000,18172200
2007-02-12,29.290001,29.770000,29.049999,29.170000,29.170000,18316200
2007-02-13,29.370001,29.680000,29.260000,29.559999,29.559999,12802300
2007-02-14,29.690001,30.860001,29.639999,30.660000,30.660000,30821100
2007-02-15,30.820000,31.650000,30.690001,31.250000,31.250000,28160300
2007-02-16,31.000000,32.000000,31.000000,31.910000,31.910000,36774800
2007-02-20,31.799999,32.209999,31.389999,32.009998,32.009998,20026500
2007-02-21,31.740000,31.770000,31.219999,31.650000,31.650000,27999200
2007-02-22,31.600000,32.080002,31.320000,31.600000,31.600000,15485100
2007-02-23,31.600000,32.180000,31.410000,32.099998,32.099998,21533500
2007-02-26,32.799999,32.840000,30.850000,32.110001,32.110001,28295200
2007-02-27,31.379999,31.639999,30.240000,30.950001,30.950001,31505200
2007-02-28,30.860001,31.469999,30.090000,30.860001,30.860001,30487800
2007-03-01,30.129999,31.230000,30.000000,30.860001,30.860001,24012900
2007-03-02,30.540001,30.889999,30.280001,30.420000,30.420000,18136600
2007-03-05,30.180000,31.900000,30.139999,30.309999,30.309999,21469000
2007-03-06,30.889999,31.059999,30.520000,30.799999,30.799999,33472600
2007-03-07,30.950001,31.030001,30.330000,30.389999,30.389999,16014300
2007-03-08,30.820000,31.040001,30.580000,30.709999,30.709999,13715100
2007-03-09,29.850000,30.150000,28.790001,29.120001,29.120001,72749900
2007-03-12,29.299999,30.110001,29.290001,29.990000,29.990000,35991600
2007-03-13,29.770000,30.240000,29.420000,29.559999,29.559999,18263800
2007-03-14,29.629999,30.040001,29.260000,29.860001,29.860001,23604900
2007-03-15,29.809999,30.070000,29.780001,30.059999,30.059999,15440900
2007-03-16,30.020000,30.110001,29.719999,29.879999,29.879999,19799300
2007-03-19,30.000000,30.190001,29.920000,30.030001,30.030001,9983800
2007-03-20,30.000000,30.350000,29.940001,30.330000,30.330000,12203800
2007-03-21,30.330000,31.389999,30.209999,31.290001,31.290001,26667300
2007-03-22,31.360001,31.440001,30.850000,31.260000,31.260000,12989800
2007-03-23,31.330000,31.700001,31.160000,31.360001,31.360001,12727900
2007-03-26,31.250000,31.740000,31.240000,31.660000,31.660000,12907000
2007-03-27,31.559999,31.660000,31.240000,31.549999,31.549999,9403100
2007-03-28,31.450001,31.700001,31.250000,31.410000,31.410000,13162500
2007-03-29,31.709999,31.730000,30.830000,31.340000,31.340000,13815000
2007-03-30,31.209999,31.600000,31.020000,31.290001,31.290001,9425000
2007-04-02,31.219999,31.400000,30.930000,31.280001,31.280001,8668800
2007-04-03,31.410000,32.000000,31.410000,31.719999,31.719999,12324600
2007-04-04,31.610001,31.870001,31.480000,31.620001,31.620001,7836200
2007-04-05,32.000000,32.090000,31.719999,31.959999,31.959999,13878100
2007-04-09,32.009998,32.240002,31.600000,31.639999,31.639999,12408000
2007-04-10,31.639999,32.020000,31.600000,31.690001,31.690001,12797600
2007-04-11,31.650000,31.730000,30.900000,31.170000,31.170000,16141100
2007-04-12,31.260000,31.420000,31.100000,31.209999,31.209999,13904800
2007-04-13,31.150000,31.500000,30.959999,31.410000,31.410000,12006300
2007-04-16,31.680000,31.790001,31.240000,31.610001,31.610001,14359100
2007-04-17,31.980000,32.139999,31.709999,32.090000,32.090000,43223800
2007-04-18,28.420000,28.900000,27.889999,28.309999,28.309999,127875300
2007-04-19,28.100000,28.230000,27.459999,27.510000,27.510000,45664700
2007-04-20,27.860001,27.860001,27.370001,27.459999,27.459999,39123300
2007-04-23,27.530001,28.139999,27.370001,27.879999,27.879999,27262400
2007-04-24,28.030001,28.260000,27.690001,28.020000,28.020000,25964000
2007-04-25,28.219999,28.270000,27.680000,28.059999,28.059999,35568600
2007-04-26,27.980000,28.650000,27.730000,28.490000,28.490000,32331000
2007-04-27,28.350000,28.860001,28.170000,28.340000,28.340000,21097000
2007-04-30,28.320000,28.500000,28.000000,28.040001,28.040001,17596300
2007-05-01,28.250000,28.350000,27.530001,27.730000,27.730000,18310900
2007-05-02,27.719999,28.260000,27.719999,28.120001,28.120001,16911800
2007-05-03,28.250000,28.500000,28.010000,28.180000,28.180000,20119500
2007-05-04,33.270000,33.610001,29.580000,30.980000,30.980000,245611400
2007-05-07,30.129999,30.980000,29.860001,30.379999,30.379999,41243900
2007-05-08,30.240000,31.100000,30.209999,30.410000,30.410000,28018200
2007-05-09,30.170000,30.440001,29.950001,30.219999,30.219999,23533100
2007-05-10,30.520000,30.690001,29.610001,29.700001,29.700001,26570200
2007-05-11,29.620001,30.080000,29.530001,30.049999,30.049999,13838800
2007-05-14,29.790001,30.000000,29.080000,29.309999,29.309999,20895900
2007-05-15,29.160000,29.420000,28.750000,28.809999,28.809999,22226800
2007-05-16,28.889999,29.370001,28.250000,29.209999,29.209999,32944800
2007-05-17,28.990000,29.129999,28.490000,28.570000,28.570000,23535000
2007-05-18,28.900000,29.799999,28.780001,29.750000,29.750000,35487200
2007-05-21,29.620001,29.860001,29.320000,29.350000,29.350000,18955900
2007-05-22,29.330000,29.350000,28.780001,28.920000,28.920000,19131300
2007-05-23,29.100000,29.370001,28.530001,28.610001,28.610001,27964400
2007-05-24,28.650000,28.879999,28.250000,28.410000,28.410000,19122900
2007-05-25,28.440001,28.730000,28.340000,28.580000,28.580000,10334600
2007-05-29,28.360001,28.730000,28.200001,28.400000,28.400000,13981500
2007-05-30,28.190001,28.379999,28.000000,28.379999,28.379999,16046800
2007-05-31,28.760000,28.850000,28.490000,28.700001,28.700001,15859100
2007-06-01,28.900000,29.129999,28.610001,28.780001,28.780001,12398800
2007-06-04,28.600000,28.780001,28.400000,28.590000,28.590000,13428800
2007-06-05,28.400000,28.590000,28.100000,28.230000,28.230000,20494800
2007-06-06,28.049999,28.110001,27.299999,27.440001,27.440001,33508200
2007-06-07,27.340000,27.730000,26.980000,26.980000,26.980000,34232300
2007-06-08,27.020000,27.450001,26.959999,27.389999,27.389999,18618500
2007-06-11,27.270000,27.520000,27.150000,27.350000,27.350000,14856500
2007-06-12,27.299999,27.660000,26.980000,27.049999,27.049999,22203600
2007-06-13,27.120001,27.410000,26.610001,27.379999,27.379999,31210700
2007-06-14,27.379999,27.639999,27.150000,27.299999,27.299999,18919400
2007-06-15,27.490000,27.520000,27.190001,27.309999,27.309999,23816900
2007-06-18,27.719999,28.340000,27.500000,28.120001,28.120001,70919400
2007-06-19,29.400000,29.400000,27.540001,27.629999,27.629999,65967500
2007-06-20,27.889999,28.170000,27.660000,27.660000,27.660000,33496400
2007-06-21,27.690001,27.940001,27.549999,27.670000,27.670000,17885800
2007-06-22,27.680000,27.790001,27.309999,27.379999,27.379999,33796900
2007-06-25,27.600000,27.770000,27.340000,27.639999,27.639999,21232200
2007-06-26,27.730000,28.180000,27.360001,27.709999,27.709999,25324000
2007-06-27,27.510000,27.660000,27.400000,27.580000,27.580000,13997000
2007-06-28,27.440001,27.490000,27.120001,27.250000,27.250000,17124500
2007-06-29,27.209999,27.379999,26.930000,27.129999,27.129999,13842500
2007-07-02,27.190001,27.270000,26.760000,26.860001,26.860001,21011000
2007-07-03,26.950001,27.250000,26.900000,27.000000,27.000000,11643400
2007-07-05,26.920000,27.139999,26.900000,26.990000,26.990000,16071900
2007-07-06,27.010000,27.139999,26.930000,27.100000,27.100000,12284500
2007-07-09,26.920000,27.330000,26.820000,27.200001,27.200001,17515800
2007-07-10,27.090000,27.570000,26.959999,26.969999,26.969999,24635500
2007-07-11,27.030001,27.049999,26.549999,26.690001,26.690001,21970700
2007-07-12,26.700001,26.969999,26.340000,26.959999,26.959999,20082300
2007-07-13,26.870001,26.969999,26.500000,26.580000,26.580000,18522700
2007-07-16,26.480000,26.740000,26.129999,26.700001,26.700001,30804500
2007-07-17,26.740000,27.799999,26.700001,27.530001,27.530001,53656100
2007-07-18,26.070000,26.719999,26.020000,26.200001,26.200001,65125900
2007-07-19,26.320000,26.340000,25.920000,26.030001,26.030001,29537900
2007-07-20,25.700001,25.889999,25.200001,25.350000,25.350000,38056100
2007-07-23,25.430000,25.459999,24.980000,24.990000,24.990000,26631500
2007-07-24,24.799999,25.340000,24.730000,24.840000,24.840000,28981000
2007-07-25,25.010000,25.320000,24.590000,24.680000,24.680000,21882400
2007-07-26,24.400000,24.490000,23.620001,24.030001,24.030001,33373300
2007-07-27,23.980000,24.490000,23.469999,23.490000,23.490000,35783800
2007-07-30,23.549999,23.879999,23.379999,23.620001,23.620001,20976600
2007-07-31,23.879999,23.930000,23.240000,23.250000,23.250000,21575800
2007-08-01,23.170000,23.400000,22.850000,23.250000,23.250000,22030400
2007-08-02,22.650000,23.700001,22.650000,23.360001,23.360001,21098900
2007-08-03,23.200001,23.389999,22.870001,22.920000,22.920000,19702100
2007-08-06,23.030001,23.150000,22.440001,22.969999,22.969999,28948000
2007-08-07,22.750000,23.700001,22.690001,23.440001,23.440001,20075300
2007-08-08,23.459999,23.870001,23.430000,23.870001,23.870001,17198000
2007-08-09,23.670000,24.450001,23.510000,23.799999,23.799999,24052500
2007-08-10,23.930000,24.219999,23.520000,23.940001,23.940001,22939800
2007-08-13,24.209999,24.740000,24.010000,24.570000,24.570000,21317600
2007-08-14,24.690001,24.700001,23.690001,23.719999,23.719999,18707100
2007-08-15,23.559999,24.000000,23.250000,23.320000,23.320000,18767700
2007-08-16,23.000000,23.150000,22.500000,22.760000,22.760000,29652200
2007-08-17,23.260000,23.629999,22.760000,23.540001,23.540001,19528200
2007-08-20,23.639999,23.740000,23.180000,23.340000,23.340000,13338900
2007-08-21,23.250000,23.480000,22.910000,23.040001,23.040001,25962900
2007-08-22,23.219999,23.520000,23.180000,23.230000,23.230000,18763700
2007-08-23,23.350000,23.360001,22.950001,23.129999,23.129999,15603000
2007-08-24,23.030001,23.730000,23.030001,23.590000,23.590000,11191100
2007-08-27,23.590000,23.760000,23.010000,23.030001,23.030001,16523800
2007-08-28,22.950001,23.100000,22.500000,22.520000,22.520000,18030600
2007-08-29,22.600000,22.690001,22.270000,22.549999,22.549999,24599900
2007-08-30,22.490000,22.910000,22.379999,22.610001,22.610001,18172500
2007-08-31,22.809999,22.830000,22.510000,22.730000,22.730000,13052500
2007-09-04,23.299999,24.500000,23.200001,23.969999,23.969999,43598600
2007-09-05,24.100000,24.400000,23.910000,24.100000,24.100000,23071000
2007-09-06,24.219999,24.320000,23.620001,24.150000,24.150000,13922100
2007-09-07,23.760000,24.049999,23.600000,23.760000,23.760000,12591900
2007-09-10,23.850000,23.850000,23.100000,23.299999,23.299999,15246000
2007-09-11,23.309999,23.840000,23.309999,23.709999,23.709999,17207500
2007-09-12,23.639999,23.940001,23.530001,23.559999,23.559999,16553700
2007-09-13,23.600000,23.959999,23.600000,23.719999,23.719999,10309000
2007-09-14,23.690001,25.000000,23.650000,24.730000,24.730000,28868600
2007-09-17,24.500000,25.100000,24.379999,24.950001,24.950001,20594000
2007-09-18,25.059999,25.209999,24.530001,25.059999,25.059999,28121000
2007-09-19,25.090000,25.370001,24.809999,25.290001,25.290001,25867900
2007-09-20,25.280001,25.610001,25.160000,25.290001,25.290001,17312000
2007-09-21,25.540001,26.209999,25.290001,26.049999,26.049999,53074900
2007-09-24,26.129999,26.400000,25.510000,25.730000,25.730000,27597800
2007-09-25,25.700001,26.650000,25.629999,26.510000,26.510000,33721300
2007-09-26,26.700001,27.070000,26.500000,26.700001,26.700001,18692400
2007-09-27,26.950001,26.950001,26.170000,26.270000,26.270000,21365200
2007-09-28,26.490000,26.889999,26.200001,26.840000,26.840000,22155600
2007-10-01,26.760000,27.100000,26.730000,27.040001,27.040001,16938700
2007-10-02,27.200001,27.240000,26.620001,26.950001,26.950001,15133400
2007-10-03,27.160000,27.379999,26.820000,27.170000,27.170000,18052500
2007-10-04,27.190001,27.290001,26.900000,27.150000,27.150000,19203600
2007-10-05,27.780001,28.160000,27.750000,27.879999,27.879999,28389600
2007-10-08,28.010000,28.170000,27.750000,28.049999,28.049999,15060700
2007-10-09,28.350000,28.760000,27.940001,28.370001,28.370001,19539500
2007-10-10,28.430000,28.700001,27.900000,28.360001,28.360001,14847100
2007-10-11,28.440001,28.680000,27.500000,27.650000,27.650000,25298300
2007-10-12,27.760000,28.510000,27.650000,28.480000,28.480000,22130500
2007-10-15,28.320000,28.400000,27.459999,27.860001,27.860001,22994100
2007-10-16,27.370001,27.480000,26.549999,26.690001,26.690001,56275300
2007-10-17,29.100000,29.200001,28.000000,28.820000,28.820000,75067700
2007-10-18,28.590000,29.600000,28.469999,29.350000,29.350000,28152200
2007-10-19,29.360001,29.959999,28.850000,29.030001,29.030001,41933000
2007-10-22,28.930000,30.000000,28.799999,29.850000,29.850000,27750100
2007-10-23,30.120001,30.879999,30.030001,30.639999,30.639999,45406200
2007-10-24,30.680000,30.980000,30.000000,30.680000,30.680000,33603100
2007-10-25,30.750000,31.620001,30.500000,31.340000,31.340000,38706600
2007-10-26,32.430000,33.990002,31.610001,33.630001,33.630001,66018100
2007-10-29,34.070000,34.080002,31.180000,31.790001,31.790001,83685800
2007-10-30,31.549999,31.639999,30.120001,30.830000,30.830000,52417300
2007-10-31,31.500000,31.750000,30.500000,31.100000,31.100000,34762000
2007-11-01,30.860001,31.100000,30.040001,30.219999,30.219999,26913300
2007-11-02,30.540001,31.209999,29.639999,31.110001,31.110001,34090300
2007-11-05,30.709999,32.369999,30.350000,31.360001,31.360001,43520300
2007-11-06,31.760000,31.790001,29.000000,29.930000,29.930000,63664400
2007-11-07,29.270000,29.299999,27.559999,27.629999,27.629999,57069800
2007-11-08,28.110001,28.240000,25.820000,26.700001,26.700001,58160600
2007-11-09,26.129999,26.379999,25.400000,25.790001,25.790001,45199700
2007-11-12,25.799999,26.200001,24.690001,24.780001,24.780001,31264200
2007-11-13,25.530001,26.240000,25.299999,26.100000,26.100000,34123300
2007-11-14,26.420000,26.440001,25.000000,25.070000,25.070000,38183700
2007-11-15,24.940001,25.750000,24.900000,25.420000,25.420000,27920800
2007-11-16,25.660000,27.129999,25.100000,26.820000,26.820000,53044400
2007-11-19,27.110001,27.350000,26.350000,26.760000,26.760000,33066200
2007-11-20,26.930000,27.250000,25.980000,26.719999,26.719999,25672500
2007-11-21,26.110001,26.580000,25.520000,25.709999,25.709999,23320100
2007-11-23,25.980000,26.400000,25.760000,26.129999,26.129999,9249400
2007-11-26,26.080000,26.250000,25.200001,25.219999,25.219999,24174600
2007-11-27,25.180000,26.000000,25.170000,25.590000,25.590000,19484500
2007-11-28,26.030001,26.700001,25.930000,26.200001,26.200001,23239300
2007-11-29,26.010000,26.709999,25.910000,26.629999,26.629999,17929700
2007-11-30,26.959999,27.330000,26.510000,26.809999,26.809999,23994000
2007-12-03,26.639999,27.200001,26.559999,26.610001,26.610001,15250100
2007-12-04,26.139999,26.730000,26.110001,26.420000,26.420000,14668800
2007-12-05,26.629999,26.730000,25.730000,25.980000,25.980000,21170900
2007-12-06,25.879999,26.020000,25.389999,25.959999,25.959999,19236500
2007-12-07,25.860001,26.110001,25.500000,25.629999,25.629999,11443200
2007-12-10,25.510000,25.570000,24.920000,25.200001,25.200001,26074900
2007-12-11,25.150000,25.650000,24.360001,24.469999,24.469999,28579100
2007-12-12,24.820000,25.000000,24.110001,24.540001,24.540001,20241200
2007-12-13,24.389999,24.750000,24.190001,24.379999,24.379999,23787400
2007-12-14,24.129999,24.469999,24.000000,24.059999,24.059999,15125500
2007-12-17,23.799999,24.030001,22.940001,23.040001,23.040001,37877100
2007-12-18,23.219999,23.350000,22.799999,23.020000,23.020000,27735600
2007-12-19,22.920000,23.690001,22.920000,23.309999,23.309999,26547300
2007-12-20,23.500000,23.799999,23.240000,23.639999,23.639999,21030700
2007-12-21,23.879999,24.100000,23.740000,24.010000,24.010000,24094600
2007-12-24,24.010000,24.190001,23.940001,24.049999,24.049999,24861800
2007-12-26,23.850000,24.250000,23.850000,23.959999,23.959999,9821600
2007-12-27,23.600000,24.150000,23.570000,23.709999,23.709999,16041500
2007-12-28,23.660000,23.709999,23.209999,23.450001,23.450001,13773000
2007-12-31,23.219999,23.430000,23.110001,23.260000,23.260000,14782600
2008-01-02,23.799999,24.150000,23.600000,23.719999,23.719999,25671700
2008-01-03,23.860001,24.190001,23.700001,23.840000,23.840000,20179700
2008-01-04,23.809999,23.809999,23.100000,23.160000,23.160000,20745800
2008-01-07,23.120001,23.559999,22.730000,23.180000,23.180000,24769400
2008-01-08,23.280001,23.650000,22.500000,22.610001,22.610001,22974000
2008-01-09,22.469999,22.799999,21.370001,22.559999,22.559999,46662700
2008-01-10,23.190001,24.570000,22.830000,24.090000,24.090000,52342100
2008-01-11,23.809999,24.129999,22.980000,23.360001,23.360001,27297400
2008-01-14,23.510000,23.760000,23.180000,23.700001,23.700001,18552900
2008-01-15,23.000000,23.490000,22.570000,22.910000,22.910000,31911000
2008-01-16,22.200001,22.750000,21.730000,21.950001,21.950001,38155300
2008-01-17,22.000000,22.170000,21.139999,21.219999,21.219999,28812600
2008-01-18,21.270000,21.610001,20.070000,20.780001,20.780001,41239300
2008-01-22,19.290001,21.030001,19.260000,19.860001,19.860001,38126200
2008-01-23,19.250000,20.340000,18.719999,20.010000,20.010000,42064200
2008-01-24,20.440001,21.750000,20.420000,21.690001,21.690001,39823300
2008-01-25,22.240000,22.370001,21.320000,21.940001,21.940001,28386800
2008-01-28,21.559999,21.900000,20.420000,20.780001,20.780001,32473100
2008-01-29,20.870001,20.900000,20.049999,20.809999,20.809999,79230000
2008-01-30,18.620001,20.809999,18.580000,19.049999,19.049999,115993300
2008-01-31,18.870001,19.350000,18.719999,19.180000,19.180000,41449800
2008-02-01,28.680000,29.830000,27.340000,28.379999,28.379999,438248800
2008-02-04,28.330000,29.500000,28.330000,29.330000,29.330000,144814000
2008-02-05,28.780001,29.570000,28.750000,28.980000,28.980000,68583700
2008-02-06,29.110001,29.330000,28.530001,28.570000,28.570000,55648800
2008-02-07,28.629999,29.190001,28.600000,29.040001,29.040001,44248800
2008-02-08,28.980000,29.219999,28.709999,29.200001,29.200001,55618900
2008-02-11,29.889999,30.049999,29.320000,29.870001,29.870001,67253700
2008-02-12,29.809999,29.840000,29.400000,29.570000,29.570000,42445600
2008-02-13,29.780001,30.070000,29.600000,29.879999,29.879999,57047700
2008-02-14,29.980000,30.250000,29.750000,29.980000,29.980000,38045600
2008-02-15,29.950001,30.150000,29.430000,29.660000,29.660000,40125200
2008-02-19,29.340000,29.420000,28.750000,29.010000,29.010000,38679600
2008-02-20,28.709999,29.040001,28.389999,28.830000,28.830000,29338800
2008-02-21,28.760000,29.170000,28.250000,28.420000,28.420000,34681900
2008-02-22,28.360001,28.639999,27.980000,28.420000,28.420000,26157800
2008-02-25,28.420000,28.570000,27.750000,28.129999,28.129999,32470600
2008-02-26,27.930000,28.549999,27.809999,28.219999,28.219999,26013000
2008-02-27,28.330000,28.490000,27.750000,28.370001,28.370001,27664100
2008-02-28,27.980000,28.820000,27.959999,28.150000,28.150000,30113200
2008-02-29,27.940001,28.410000,27.500000,27.780001,27.780001,23860500
2008-03-03,27.730000,28.080000,27.660000,27.770000,27.770000,22765100
2008-03-04,27.799999,28.070000,27.430000,28.059999,28.059999,28305000
2008-03-05,28.000000,28.780001,28.000000,28.670000,28.670000,30280100
2008-03-06,28.639999,28.980000,28.440001,28.700001,28.700001,34591000
2008-03-07,28.580000,29.180000,28.500000,29.030001,29.030001,28266000
2008-03-10,28.870001,28.980000,28.510000,28.510000,28.510000,29698500
2008-03-11,28.910000,29.160000,28.430000,29.000000,29.000000,22077400
2008-03-12,28.889999,29.020000,28.389999,28.450001,28.450001,18338300
2008-03-13,28.070000,28.270000,27.379999,27.500000,27.500000,75429000
2008-03-14,27.850000,27.959999,26.500000,26.709999,26.709999,44386000
2008-03-17,26.500000,26.639999,25.719999,25.850000,25.850000,33771900
2008-03-18,26.940001,27.719999,26.250000,27.660000,27.660000,38074400
2008-03-19,27.559999,27.790001,26.910000,27.070000,27.070000,23317500
2008-03-20,27.360001,27.910000,26.980000,27.660000,27.660000,29864500
2008-03-24,27.559999,28.070000,27.450001,27.520000,27.520000,17360800
2008-03-25,28.139999,28.750000,27.700001,28.730000,28.730000,33759600
2008-03-26,28.629999,28.780001,28.190001,28.490000,28.490000,15271500
2008-03-27,28.490000,28.500000,27.900000,28.090000,28.090000,15558400
2008-03-28,28.320000,29.090000,28.150000,28.990000,28.990000,34274200
2008-03-31,28.559999,29.120001,28.270000,28.930000,28.930000,17224600
2008-04-01,28.070000,28.620001,28.020000,28.500000,28.500000,20483600
2008-04-02,28.570000,28.600000,27.490000,27.820000,27.820000,30180400
2008-04-03,27.650000,28.219999,27.580000,28.129999,28.129999,14535400
2008-04-04,28.000000,28.450001,27.590000,28.360001,28.360001,28290700
2008-04-07,27.799999,28.150000,27.570000,27.700001,27.700001,29455100
2008-04-08,27.719999,27.820000,27.490000,27.700001,27.700001,17935600
2008-04-09,27.799999,27.950001,27.129999,27.770000,27.770000,31768300
2008-04-10,28.389999,28.690001,28.280001,28.590000,28.590000,32671200
2008-04-11,28.410000,28.610001,28.090000,28.340000,28.340000,18433700
2008-04-14,28.180000,28.340000,27.790001,27.799999,27.799999,14159500
2008-04-15,28.049999,28.250000,27.770000,28.170000,28.170000,12096600
2008-04-16,28.110001,28.400000,28.110001,28.309999,28.309999,9204900
2008-04-17,28.400000,28.400000,27.959999,28.030001,28.030001,10848800
2008-04-18,28.440001,28.670000,28.170000,28.430000,28.430000,25292200
2008-04-21,28.520000,28.680000,28.219999,28.549999,28.549999,18368700
2008-04-22,28.730000,28.879999,28.440001,28.540001,28.540001,28564000
2008-04-23,28.240000,28.350000,27.709999,28.080000,28.080000,31134400
2008-04-24,28.010000,28.080000,27.240000,27.299999,27.299999,25944000
2008-04-25,26.850000,26.930000,26.080000,26.799999,26.799999,50523100
2008-04-28,27.000000,27.090000,26.250000,26.430000,26.430000,20869300
2008-04-29,26.350000,27.480000,25.809999,27.360001,27.360001,36678000
2008-04-30,27.170000,27.780001,26.760000,27.410000,27.410000,31034100
2008-05-01,27.690001,28.340000,26.500000,26.809999,26.809999,52071000
2008-05-02,27.650000,29.730000,27.209999,28.670000,28.670000,80447300
2008-05-05,23.049999,24.930000,22.969999,24.370001,24.370001,279318400
2008-05-06,25.540001,26.250000,24.200001,25.719999,25.719999,180100000
2008-05-07,25.570000,25.709999,25.030001,25.639999,25.639999,84698300
2008-05-08,25.660000,26.440001,25.510000,26.219999,26.219999,61308600
2008-05-09,26.010000,26.190001,25.750000,25.930000,25.930000,30686900
2008-05-12,25.799999,25.879999,25.020000,25.260000,25.260000,41319400
2008-05-13,25.150000,26.840000,24.389999,26.559999,26.559999,81351200
2008-05-14,26.950001,27.360001,26.200001,27.139999,27.139999,64571100
2008-05-15,27.540001,27.980000,26.850000,27.750000,27.750000,79748700
2008-05-16,27.730000,27.950001,27.410000,27.660000,27.660000,61318300
2008-05-19,27.900000,28.330000,27.420000,27.680000,27.680000,55348600
2008-05-20,27.680000,28.200001,27.320000,27.480000,27.480000,29450900
2008-05-21,27.340000,27.950001,26.799999,27.330000,27.330000,38317200
2008-05-22,27.299999,27.610001,26.950001,27.530001,27.530001,24737400
2008-05-23,27.480000,27.740000,27.260000,27.719999,27.719999,24035700
2008-05-27,27.500000,27.629999,26.980000,27.000000,27.000000,20703900
2008-05-28,27.420000,27.480000,26.950001,27.160000,27.160000,21785600
2008-05-29,27.340000,27.360001,27.000000,27.070000,27.070000,17905300
2008-05-30,27.070000,27.100000,26.629999,26.760000,26.760000,17771800
2008-06-02,26.799999,26.809999,26.030001,26.400000,26.400000,26379400
2008-06-03,26.360001,26.600000,25.780001,26.150000,26.150000,25586000
2008-06-04,26.250000,27.049999,26.160000,26.850000,26.850000,29973600
2008-06-05,26.459999,26.639999,25.969999,26.360001,26.360001,30167300
2008-06-06,26.500000,27.080000,26.030001,26.440001,26.440001,37758400
2008-06-09,26.500000,26.860001,26.100000,26.580000,26.580000,17278300
2008-06-10,26.320000,26.580000,26.250000,26.400000,26.400000,11854000
2008-06-11,26.420000,26.459999,26.000000,26.150000,26.150000,13315400
2008-06-12,26.330000,26.330000,22.500000,23.520000,23.520000,122412100
2008-06-13,22.820000,23.480000,21.750000,23.469999,23.469999,118467700
2008-06-16,22.950001,23.580000,22.709999,23.540001,23.540001,44711900
2008-06-17,23.580000,23.580000,22.900000,23.250000,23.250000,22808800
2008-06-18,23.219999,23.219999,22.629999,22.910000,22.910000,14255900
2008-06-19,22.780001,22.870001,22.370001,22.730000,22.730000,19001300
2008-06-20,22.490000,22.530001,21.900000,21.990000,21.990000,34606900
2008-06-23,22.070000,22.120001,21.299999,21.450001,21.450001,29819200
2008-06-24,21.170000,23.709999,20.600000,22.040001,22.040001,85211700
2008-06-25,22.000000,22.240000,21.860001,22.010000,22.010000,19530900
2008-06-26,21.590000,21.889999,21.280001,21.370001,21.370001,23993900
2008-06-27,21.290001,21.459999,20.700001,21.330000,21.330000,30236800
2008-06-30,21.120001,21.200001,20.600000,20.660000,20.660000,17173500
2008-07-01,20.480000,20.490000,19.590000,20.200001,20.200001,36634700
2008-07-02,21.889999,21.900000,20.670000,20.879999,20.879999,58418100
2008-07-03,21.350000,21.750000,21.030001,21.350000,21.350000,21923800
2008-07-07,23.400000,24.250000,22.920000,23.910000,23.910000,84245900
2008-07-08,23.830000,24.660000,23.809999,24.639999,24.639999,34234600
2008-07-09,24.740000,24.799999,23.820000,23.820000,23.820000,21980400
2008-07-10,23.760000,24.100000,23.040001,23.500000,23.500000,18501800
2008-07-11,23.000000,23.889999,22.639999,23.570000,23.570000,23141900
2008-07-14,23.120001,23.240000,22.219999,22.570000,22.570000,22785000
2008-07-15,21.790001,22.080000,21.180000,21.540001,21.540001,25740900
2008-07-16,21.700001,22.600000,21.590000,22.480000,22.480000,20738700
2008-07-17,23.490000,23.490000,22.410000,22.440001,22.440001,31947900
2008-07-18,22.549999,22.549999,21.860001,22.450001,22.450001,23375400
2008-07-21,21.660000,22.190001,21.650000,21.670000,21.670000,24645600
2008-07-22,21.389999,21.700001,20.850000,21.400000,21.400000,29786500
2008-07-23,21.910000,22.480000,20.000000,20.389999,20.389999,48279700
2008-07-24,20.610001,21.059999,20.049999,20.530001,20.530001,24422500
2008-07-25,20.549999,21.190001,20.280001,21.129999,21.129999,20406200
2008-07-28,20.990000,21.170000,20.059999,20.120001,20.120001,13733800
2008-07-29,20.010000,20.340000,19.680000,20.150000,20.150000,17023800
2008-07-30,20.180000,20.180000,19.959999,20.030001,20.030001,25016800
2008-07-31,19.889999,20.150000,19.850000,19.889999,19.889999,16621100
2008-08-01,20.090000,20.120001,19.530001,19.799999,19.799999,19777000
2008-08-04,19.770000,19.770000,19.209999,19.379999,19.379999,14064400
2008-08-05,19.700001,19.910000,19.530001,19.820000,19.820000,14415200
2008-08-06,19.770000,20.180000,19.530001,20.000000,20.000000,14699000
2008-08-07,19.799999,20.250000,19.639999,20.190001,20.190001,14017500
2008-08-08,20.190001,20.190001,19.870001,19.900000,19.900000,13640000
2008-08-11,19.889999,20.280001,19.650000,20.260000,20.260000,12903700
2008-08-12,20.209999,20.600000,20.040001,20.430000,20.430000,13883700
2008-08-13,20.330000,20.480000,20.059999,20.360001,20.360001,11954500
2008-08-14,20.200001,20.570000,20.139999,20.280001,20.280001,11103300
2008-08-15,20.270000,20.820000,20.270000,20.440001,20.440001,14945100
2008-08-18,20.469999,20.520000,19.660000,19.730000,19.730000,14867400
2008-08-19,19.780001,19.910000,19.410000,19.420000,19.420000,12851000
2008-08-20,19.570000,19.650000,19.100000,19.170000,19.170000,16426500
2008-08-21,19.059999,19.180000,18.870001,19.110001,19.110001,16995100
2008-08-22,19.110001,19.680000,19.100000,19.530001,19.530001,11087500
2008-08-25,19.340000,19.400000,19.049999,19.090000,19.090000,13779300
2008-08-26,19.120001,19.200001,19.000000,19.090000,19.090000,8770500
2008-08-27,19.080000,19.450001,18.930000,19.370001,19.370001,9300100
2008-08-28,19.480000,19.760000,19.379999,19.650000,19.650000,11729500
2008-08-29,19.540001,19.600000,19.280001,19.379999,19.379999,11204900
2008-09-02,19.629999,19.770000,18.740000,18.750000,18.750000,16943700
2008-09-03,18.850000,19.000000,18.700001,18.760000,18.760000,11557100
2008-09-04,18.709999,18.809999,17.750000,17.750000,17.750000,23892500
2008-09-05,17.920000,18.340000,17.799999,18.080000,18.080000,17089100
2008-09-08,18.330000,18.370001,17.870001,18.260000,18.260000,16447400
2008-09-09,18.139999,18.190001,17.530001,17.580000,17.580000,25271700
2008-09-10,17.629999,17.790001,17.250000,17.700001,17.700001,19619600
2008-09-11,17.400000,18.570000,17.330000,18.549999,18.549999,28408000
2008-09-12,18.430000,19.170000,18.340000,19.080000,19.080000,21301100
2008-09-15,18.270000,19.139999,18.250000,18.850000,18.850000,32567200
2008-09-16,18.250000,19.350000,18.240000,19.260000,19.260000,33897000
2008-09-17,18.969999,19.080000,18.200001,18.820000,18.820000,28819300
2008-09-18,18.790001,20.820000,18.490000,20.820000,20.820000,37286300
2008-09-19,20.580000,20.790001,19.270000,19.889999,19.889999,31649100
2008-09-22,19.600000,19.600000,18.639999,18.680000,18.680000,16911900
2008-09-23,18.709999,19.129999,18.670000,18.930000,18.930000,20230100
2008-09-24,18.900000,19.190001,18.820000,19.150000,19.150000,12766200
2008-09-25,19.090000,19.559999,18.969999,19.200001,19.200001,14512100
2008-09-26,18.750000,19.250000,18.650000,18.920000,18.920000,14922800
2008-09-29,18.770000,18.920000,16.879999,16.879999,16.879999,39570300
2008-09-30,17.150000,17.620001,17.000000,17.299999,17.299999,23672300
2008-10-01,17.170000,17.309999,16.799999,16.959999,16.959999,13725000
2008-10-02,16.770000,16.850000,15.540000,15.580000,15.580000,23416200
2008-10-03,15.810000,16.440001,15.750000,16.000000,16.000000,25824900
2008-10-06,15.270000,16.070000,14.550000,15.310000,15.310000,42862100
2008-10-07,15.190000,15.490000,14.530000,14.580000,14.580000,27696400
2008-10-08,13.800000,14.580000,13.200000,13.760000,13.760000,31651100
2008-10-09,13.900000,13.900000,12.470000,12.650000,12.650000,40808900
2008-10-10,12.220000,12.920000,11.960000,12.290000,12.290000,38683200
2008-10-13,13.140000,13.510000,12.560000,13.490000,13.490000,26049700
2008-10-14,13.780000,13.930000,12.370000,12.650000,12.650000,26909700
2008-10-15,12.490000,12.550000,11.750000,11.750000,11.750000,27529900
2008-10-16,11.900000,13.730000,11.370000,12.990000,12.990000,107674200
2008-10-17,12.880000,13.500000,12.680000,12.900000,12.900000,38974800
2008-10-20,13.030000,13.030000,12.330000,12.860000,12.860000,25010600
2008-10-21,12.620000,12.740000,12.040000,12.070000,12.070000,28385500
2008-10-22,12.360000,12.840000,12.350000,12.390000,12.390000,35671000
2008-10-23,12.150000,12.700000,11.550000,12.650000,12.650000,27751300
2008-10-24,11.310000,12.330000,11.310000,12.100000,12.100000,29718100
2008-10-27,11.820000,12.190000,11.500000,11.580000,11.580000,16372300
2008-10-28,11.890000,12.400000,11.250000,12.360000,12.360000,22795700
2008-10-29,12.200000,12.610000,11.920000,12.140000,12.140000,21443000
2008-10-30,12.530000,13.180000,12.250000,12.930000,12.930000,26757100
2008-10-31,13.090000,13.360000,12.710000,12.820000,12.820000,24017600
2008-11-03,12.740000,12.890000,12.550000,12.750000,12.750000,10385600
2008-11-04,13.050000,13.490000,12.840000,13.350000,13.350000,24980000
2008-11-05,13.210000,14.840000,13.150000,13.920000,13.920000,71264100
2008-11-06,14.840000,14.890000,13.750000,13.960000,13.960000,44431700
2008-11-07,12.450000,12.500000,11.650000,12.200000,12.200000,47280400
2008-11-10,12.370000,12.400000,11.570000,11.870000,11.870000,16708100
2008-11-11,11.560000,11.670000,11.060000,11.350000,11.350000,33294600
2008-11-12,11.010000,11.340000,10.020000,10.340000,10.340000,29046700
2008-11-13,10.320000,11.170000,9.760000,11.150000,11.150000,25212700
2008-11-14,10.840000,11.500000,10.630000,10.820000,10.820000,19072400
2008-11-17,10.500000,10.940000,10.320000,10.630000,10.630000,14601400
2008-11-18,11.930000,12.400000,11.000000,11.550000,11.550000,51671000
2008-11-19,11.540000,11.580000,9.070000,9.140000,9.140000,57680800
2008-11-20,9.100000,10.010000,8.940000,8.950000,8.950000,37311800
2008-11-21,9.280000,9.480000,8.950000,9.390000,9.390000,29895300
2008-11-24,9.560000,10.270000,9.420000,10.210000,10.210000,22452600
2008-11-25,10.120000,10.200000,9.830000,10.070000,10.070000,16889200
2008-11-26,9.930000,10.580000,9.920000,10.580000,10.580000,13640000
2008-11-28,10.760000,11.590000,10.650000,11.510000,11.510000,12397600
2008-12-01,11.820000,11.980000,10.730000,10.740000,10.740000,26242500
2008-12-02,10.810000,12.500000,10.500000,11.500000,11.500000,46254900
2008-12-03,11.120000,11.500000,10.740000,11.500000,11.500000,24094600
2008-12-04,11.380000,11.480000,10.700000,11.050000,11.050000,18447800
2008-12-05,10.960000,11.700000,10.620000,11.660000,11.660000,19973900
2008-12-08,12.170000,12.490000,11.790000,12.200000,12.200000,33782200
2008-12-09,11.900000,12.540000,11.770000,12.190000,12.190000,28943400
2008-12-10,12.670000,13.570000,12.350000,13.400000,13.400000,46696000
2008-12-11,13.160000,13.360000,12.570000,12.730000,12.730000,26528700
2008-12-12,12.310000,13.230000,12.150000,13.150000,13.150000,24636700
2008-12-15,13.100000,13.290000,12.550000,12.730000,12.730000,20131100
2008-12-16,12.880000,13.480000,12.880000,13.360000,13.360000,18544100
2008-12-17,13.000000,13.430000,12.830000,13.110000,13.110000,12783000
2008-12-18,13.130000,13.270000,12.700000,12.720000,12.720000,14997900
2008-12-19,12.920000,13.320000,12.720000,13.030000,13.030000,17551900
2008-12-22,13.030000,13.080000,12.000000,12.350000,12.350000,12946400
2008-12-23,12.470000,12.650000,12.250000,12.420000,12.420000,7474700
2008-12-24,12.410000,12.480000,12.290000,12.320000,12.320000,2500100
2008-12-26,12.300000,12.380000,12.180000,12.340000,12.340000,3873900
2008-12-29,12.460000,12.460000,11.450000,11.880000,11.880000,9913500
2008-12-30,11.910000,12.000000,11.720000,11.970000,11.970000,7480600
2008-12-31,11.950000,12.300000,11.920000,12.200000,12.200000,9085500
2009-01-02,12.170000,12.850000,12.120000,12.850000,12.850000,9514600
2009-01-05,12.720000,13.010000,12.390000,12.860000,12.860000,11989900
2009-01-06,12.960000,13.240000,12.880000,13.000000,13.000000,10056000
2009-01-07,12.710000,13.160000,12.450000,12.710000,12.710000,24995900
2009-01-08,12.370000,13.070000,12.310000,13.070000,13.070000,14355000
2009-01-09,13.420000,13.560000,12.900000,13.130000,13.130000,19281000
2009-01-12,13.090000,13.100000,12.080000,12.220000,12.220000,19976900
2009-01-13,12.090000,12.790000,11.780000,12.100000,12.100000,25720400
2009-01-14,12.260000,12.530000,11.810000,12.410000,12.410000,23595200
2009-01-15,12.320000,12.350000,11.220000,11.610000,11.610000,25247500
2009-01-16,11.870000,11.970000,11.440000,11.590000,11.590000,24783700
2009-01-20,11.720000,11.800000,11.010000,11.010000,11.010000,18692000
2009-01-21,11.170000,11.590000,11.080000,11.590000,11.590000,15892200
2009-01-22,11.350000,11.510000,10.900000,11.280000,11.280000,17201700
2009-01-23,10.900000,11.550000,10.860000,11.320000,11.320000,15864000
2009-01-26,11.260000,11.280000,10.810000,11.170000,11.170000,16469800
2009-01-27,11.200000,11.370000,10.850000,11.340000,11.340000,33708200
2009-01-28,12.230000,12.380000,11.920000,12.240000,12.240000,35686800
2009-01-29,12.020000,12.240000,11.730000,11.740000,11.740000,22124100
2009-01-30,11.860000,12.150000,11.510000,11.730000,11.730000,21508900
2009-02-02,11.500000,12.320000,11.490000,12.150000,12.150000,21223000
2009-02-03,12.300000,12.710000,12.010000,12.680000,12.680000,18669700
2009-02-04,12.670000,13.230000,12.550000,13.000000,13.000000,22933800
2009-02-05,12.930000,13.520000,12.850000,13.510000,13.510000,17566800
2009-02-06,13.410000,13.840000,13.200000,13.630000,13.630000,17594600
2009-02-09,13.590000,14.000000,13.470000,13.900000,13.900000,15686200
2009-02-10,13.540000,13.900000,12.720000,12.750000,12.750000,24148400
2009-02-11,12.870000,12.910000,12.380000,12.630000,12.630000,13726600
2009-02-12,12.500000,12.660000,12.140000,12.660000,12.660000,15452500
2009-02-13,12.670000,12.990000,12.590000,12.840000,12.840000,11139300
2009-02-17,12.310000,12.580000,12.010000,12.020000,12.020000,15708400
2009-02-18,12.120000,12.530000,12.070000,12.220000,12.220000,12434300
2009-02-19,12.350000,12.590000,11.930000,11.980000,11.980000,12537600
2009-02-20,11.900000,12.270000,11.750000,12.140000,12.140000,16485500
2009-02-23,12.200000,12.350000,11.830000,11.970000,11.970000,16517300
2009-02-24,12.570000,12.860000,12.270000,12.750000,12.750000,22529300
2009-02-25,12.450000,12.790000,12.300000,12.480000,12.480000,16195700
2009-02-26,12.880000,13.390000,12.740000,12.980000,12.980000,26571900
2009-02-27,12.660000,13.330000,12.610000,13.230000,13.230000,20392600
2009-03-02,12.850000,12.970000,12.470000,12.580000,12.580000,20934900
2009-03-03,12.790000,12.870000,12.310000,12.500000,12.500000,16509700
2009-03-04,12.720000,13.490000,12.510000,13.160000,13.160000,24076200
2009-03-05,12.770000,13.070000,12.480000,12.530000,12.530000,18477000
2009-03-06,12.600000,13.180000,12.520000,13.050000,13.050000,30994200
2009-03-09,12.850000,13.450000,12.550000,12.660000,12.660000,23119700
2009-03-10,12.810000,13.400000,12.750000,13.230000,13.230000,22730900
2009-03-11,13.310000,13.500000,13.030000,13.390000,13.390000,17505000
2009-03-12,13.350000,13.600000,13.100000,13.600000,13.600000,16682500
2009-03-13,13.580000,13.640000,13.270000,13.510000,13.510000,12522600
2009-03-16,13.660000,13.660000,13.200000,13.220000,13.220000,19448800
2009-03-17,13.350000,14.040000,13.220000,13.990000,13.990000,16719400
2009-03-18,13.810000,13.950000,13.230000,13.420000,13.420000,26324300
2009-03-19,13.680000,14.140000,13.610000,13.740000,13.740000,25954300
2009-03-20,13.630000,13.870000,13.510000,13.600000,13.600000,22079300
2009-03-23,13.790000,14.120000,13.620000,14.090000,14.090000,18200000
2009-03-24,13.980000,14.020000,13.560000,13.630000,13.630000,17293600
2009-03-25,13.690000,13.880000,13.350000,13.550000,13.550000,16746400
2009-03-26,13.550000,13.610000,13.000000,13.350000,13.350000,24223400
2009-03-27,13.170000,13.610000,13.120000,13.180000,13.180000,22426200
2009-03-30,12.930000,13.140000,12.510000,12.700000,12.700000,16558800
2009-03-31,12.760000,13.100000,12.670000,12.810000,12.810000,12066000
2009-04-01,12.700000,13.120000,12.600000,12.750000,12.750000,14540400
2009-04-02,13.040000,13.140000,12.800000,12.950000,12.950000,28823100
2009-04-03,12.950000,13.390000,12.780000,13.340000,13.340000,18534900
2009-04-06,13.080000,13.240000,12.990000,13.230000,13.230000,11935700
2009-04-07,13.000000,13.100000,12.680000,12.810000,12.810000,12306400
2009-04-08,12.900000,13.010000,12.750000,12.920000,12.920000,11241000
2009-04-09,13.140000,13.590000,13.070000,13.470000,13.470000,17285800
2009-04-13,14.020000,14.540000,13.860000,14.420000,14.420000,35067600
2009-04-14,14.400000,14.420000,14.000000,14.070000,14.070000,15151700
2009-04-15,13.930000,14.090000,13.770000,14.020000,14.020000,12383200
2009-04-16,14.150000,14.530000,14.050000,14.430000,14.430000,19156500
2009-04-17,14.430000,14.520000,14.030000,14.390000,14.390000,19800400
2009-04-20,14.160000,14.250000,13.600000,13.660000,13.660000,13470500
2009-04-21,13.940000,14.590000,13.710000,14.380000,14.380000,54237700
2009-04-22,14.620000,15.390000,14.410000,14.480000,14.480000,65407800
2009-04-23,14.560000,14.740000,14.110000,14.550000,14.550000,32943200
2009-04-24,14.790000,14.940000,14.360000,14.730000,14.730000,25803000
2009-04-27,14.480000,14.550000,13.880000,13.890000,13.890000,22640600
2009-04-28,13.740000,14.050000,13.600000,13.640000,13.640000,18856500
2009-04-29,13.700000,14.350000,13.700000,14.020000,14.020000,16570900
2009-04-30,14.120000,14.600000,14.120000,14.290000,14.290000,25883300
2009-05-01,14.500000,14.500000,13.910000,14.140000,14.140000,23721700
2009-05-04,14.200000,14.250000,13.960000,14.180000,14.180000,25094600
2009-05-05,14.550000,14.990000,14.180000,14.740000,14.740000,35233200
2009-05-06,14.800000,15.000000,14.520000,14.850000,14.850000,19105800
2009-05-07,15.030000,15.100000,14.380000,14.800000,14.800000,24328500
2009-05-08,14.880000,15.300000,14.700000,15.150000,15.150000,22461200
2009-05-11,14.900000,15.830000,14.810000,15.540000,15.540000,39492400
2009-05-12,15.500000,15.500000,14.900000,15.100000,15.100000,31403300
2009-05-13,14.920000,14.950000,14.500000,14.520000,14.520000,23585400
2009-05-14,14.500000,14.860000,14.400000,14.760000,14.760000,20841800
2009-05-15,15.000000,15.100000,14.860000,14.910000,14.910000,22525900
2009-05-18,15.100000,15.180000,14.740000,15.170000,15.170000,18629500
2009-05-19,15.060000,15.340000,15.020000,15.180000,15.180000,13676000
2009-05-20,15.080000,15.310000,14.800000,14.960000,14.960000,15781600
2009-05-21,14.920000,15.120000,14.620000,14.870000,14.870000,15186800
2009-05-22,14.890000,15.170000,14.750000,14.980000,14.980000,19150500
2009-05-26,14.680000,15.440000,14.670000,15.280000,15.280000,19953000
2009-05-27,15.270000,15.530000,14.880000,14.940000,14.940000,18977400
2009-05-28,15.090000,15.240000,14.690000,15.090000,15.090000,19131600
2009-05-29,15.190000,15.840000,15.110000,15.840000,15.840000,29557500
2009-06-01,16.170000,16.650000,16.129999,16.580000,16.580000,27926100
2009-06-02,16.600000,16.750000,16.250000,16.620001,16.620001,15286700
2009-06-03,16.500000,16.500000,15.670000,16.299999,16.299999,26358100
2009-06-04,16.400000,16.709999,16.040001,16.650000,16.650000,19001400
2009-06-05,16.770000,16.990000,16.299999,16.639999,16.639999,17311400
2009-06-08,16.469999,16.490000,16.040001,16.190001,16.190001,13692600
2009-06-09,16.230000,16.500000,16.180000,16.400000,16.400000,13083200
2009-06-10,16.700001,16.719999,16.100000,16.320000,16.320000,15771200
2009-06-11,16.260000,16.459999,16.150000,16.190001,16.190001,15042300
2009-06-12,16.170000,16.469999,16.100000,16.400000,16.400000,16962900
2009-06-15,16.559999,16.680000,16.129999,16.400000,16.400000,23251700
2009-06-16,16.330000,16.379999,15.900000,15.960000,15.960000,15116000
2009-06-17,15.910000,16.030001,15.460000,15.600000,15.600000,16521300
2009-06-18,15.620000,15.640000,15.230000,15.340000,15.340000,16185400
2009-06-19,15.500000,15.840000,15.400000,15.800000,15.800000,20323100
2009-06-22,15.550000,15.610000,14.710000,14.710000,14.710000,26488700
2009-06-23,14.750000,14.900000,14.550000,14.680000,14.680000,15866300
2009-06-24,14.760000,15.600000,14.760000,15.450000,15.450000,30979700
2009-06-25,15.440000,15.670000,15.250000,15.530000,15.530000,19827800
2009-06-26,15.600000,15.800000,15.480000,15.740000,15.740000,26449100
2009-06-29,15.860000,16.010000,15.600000,15.900000,15.900000,12324000
2009-06-30,15.850000,15.900000,15.350000,15.660000,15.660000,16033900
2009-07-01,15.490000,15.690000,15.350000,15.410000,15.410000,12716100
2009-07-02,15.240000,15.280000,14.880000,14.990000,14.990000,16919900
2009-07-06,14.830000,14.930000,14.550000,14.910000,14.910000,13690700
2009-07-07,14.920000,14.930000,14.360000,14.440000,14.440000,22021700
2009-07-08,14.440000,14.690000,14.220000,14.380000,14.380000,15352700
2009-07-09,14.480000,14.680000,14.250000,14.550000,14.550000,15598200
2009-07-10,14.780000,15.180000,14.750000,14.930000,14.930000,23061200
2009-07-13,14.950000,15.060000,14.640000,15.010000,15.010000,13174400
2009-07-14,15.070000,15.220000,14.980000,15.180000,15.180000,13039500
2009-07-15,15.230000,15.740000,15.150000,15.710000,15.710000,18813600
2009-07-16,15.800000,16.250000,15.780000,16.190001,16.190001,21919500
2009-07-17,16.750000,16.910000,16.450001,16.840000,16.840000,32514700
2009-07-20,17.180000,17.430000,16.650000,17.010000,17.010000,27760800
2009-07-21,17.049999,17.110001,16.440001,16.750000,16.750000,33601800
2009-07-22,16.190001,17.480000,16.120001,17.370001,17.370001,53615500
2009-07-23,17.410000,17.680000,17.160000,17.360001,17.360001,37524900
2009-07-24,17.430000,17.590000,17.020000,17.480000,17.480000,19944700
2009-07-27,17.370001,17.480000,16.850000,17.000000,17.000000,19951800
2009-07-28,16.969999,17.490000,16.520000,17.219999,17.219999,36152600
2009-07-29,16.000000,16.200001,15.050000,15.140000,15.140000,126807700
2009-07-30,15.130000,15.140000,14.240000,14.600000,14.600000,100889000
2009-07-31,14.720000,14.890000,14.290000,14.320000,14.320000,62659900
2009-08-03,14.560000,14.620000,14.300000,14.340000,14.340000,43976900
2009-08-04,14.440000,14.680000,14.370000,14.510000,14.510000,43084800
2009-08-05,14.760000,14.910000,14.610000,14.670000,14.670000,50910100
2009-08-06,14.760000,14.860000,14.630000,14.740000,14.740000,35659500
2009-08-07,14.860000,14.900000,14.560000,14.620000,14.620000,28261000
2009-08-10,14.660000,14.680000,14.490000,14.630000,14.630000,18350900
2009-08-11,14.540000,14.650000,14.330000,14.460000,14.460000,17823200
2009-08-12,14.470000,14.760000,14.410000,14.680000,14.680000,24256200
2009-08-13,14.740000,15.070000,14.610000,15.040000,15.040000,40193000
2009-08-14,14.980000,15.140000,14.850000,15.040000,15.040000,28817100
2009-08-17,14.690000,14.780000,14.510000,14.560000,14.560000,29268300
2009-08-18,14.640000,14.780000,14.560000,14.750000,14.750000,14797300
2009-08-19,14.580000,14.910000,14.550000,14.790000,14.790000,15501500
2009-08-20,14.750000,14.900000,14.700000,14.770000,14.770000,15579900
2009-08-21,14.880000,14.960000,14.730000,14.790000,14.790000,23537700
2009-08-24,14.890000,15.190000,14.830000,14.990000,14.990000,26171000
2009-08-25,15.120000,15.210000,14.940000,15.070000,15.070000,22850600
2009-08-26,15.090000,15.140000,14.860000,14.930000,14.930000,15845300
2009-08-27,14.920000,15.000000,14.710000,14.930000,14.930000,30411000
2009-08-28,14.980000,15.080000,14.800000,14.850000,14.850000,33918200
2009-08-31,14.740000,14.800000,14.560000,14.610000,14.610000,15420500
2009-09-01,14.500000,14.680000,14.150000,14.180000,14.180000,30615300
2009-09-02,14.080000,14.330000,13.970000,14.230000,14.230000,23591500
2009-09-03,14.360000,14.430000,14.160000,14.280000,14.280000,14661900
2009-09-04,14.260000,14.640000,14.230000,14.500000,14.500000,17003900
2009-09-08,14.650000,14.660000,14.370000,14.490000,14.490000,17712200
2009-09-09,14.450000,14.860000,14.420000,14.780000,14.780000,19096300
2009-09-10,15.280000,15.630000,15.150000,15.450000,15.450000,49083300
2009-09-11,15.530000,15.680000,15.410000,15.590000,15.590000,26860700
2009-09-14,15.450000,15.580000,15.280000,15.570000,15.570000,19451200
2009-09-15,16.010000,16.490000,15.870000,16.410000,16.410000,64668200
2009-09-16,16.570000,17.110001,16.520000,16.990000,16.990000,53594700
2009-09-17,17.000000,17.790001,16.959999,17.500000,17.500000,62010000
2009-09-18,17.700001,17.700001,16.850000,17.389999,17.389999,86402600
2009-09-21,17.230000,17.230000,16.959999,17.040001,17.040001,26826900
2009-09-22,17.170000,17.219999,16.750000,16.860001,16.860001,30588800
2009-09-23,17.100000,17.600000,16.969999,17.209999,17.209999,36814300
2009-09-24,17.309999,17.320000,16.650000,16.889999,16.889999,26493700
2009-09-25,16.799999,17.150000,16.750000,17.080000,17.080000,20701400
2009-09-28,16.980000,17.469999,16.950001,17.469999,17.469999,26412200
2009-09-29,17.500000,17.660000,17.209999,17.450001,17.450001,31600100
2009-09-30,17.480000,17.940001,17.240000,17.809999,17.809999,39878200
2009-10-01,17.650000,17.719999,17.200001,17.389999,17.389999,24871600
2009-10-02,17.230000,17.350000,16.780001,16.840000,16.840000,32685300
2009-10-05,16.850000,17.129999,16.660000,16.799999,16.799999,22224900
2009-10-06,16.959999,17.350000,16.950001,17.299999,17.299999,21427600
2009-10-07,17.219999,17.490000,17.150000,17.490000,17.490000,12456700
2009-10-08,17.629999,17.860001,17.540001,17.580000,17.580000,27966900
2009-10-09,17.430000,17.480000,16.840000,16.870001,16.870001,29015700
2009-10-12,16.959999,17.110001,16.660000,16.750000,16.750000,16904700
2009-10-13,16.950001,17.000000,16.809999,16.879999,16.879999,19492500
2009-10-14,16.930000,17.030001,16.820000,16.950001,16.950001,17508000
2009-10-15,16.840000,16.889999,16.459999,16.520000,16.520000,24337300
2009-10-16,16.610001,16.850000,16.400000,16.809999,16.809999,20479000
2009-10-19,16.799999,17.290001,16.700001,17.219999,17.219999,17878000
2009-10-20,17.370001,17.410000,16.870001,17.170000,17.170000,38320400
2009-10-21,17.980000,18.020000,17.570000,17.660000,17.660000,46204500
2009-10-22,17.540001,17.750000,17.299999,17.670000,17.670000,16018100
2009-10-23,17.709999,17.750000,17.090000,17.219999,17.219999,17760400
2009-10-26,17.049999,17.200001,16.670000,16.870001,16.870001,21213100
2009-10-27,16.690001,16.870001,16.350000,16.690001,16.690001,19917800
2009-10-28,16.690001,16.770000,16.020000,16.040001,16.040001,25044800
2009-10-29,16.190001,16.379999,15.740000,16.129999,16.129999,39146700
2009-10-30,16.059999,16.370001,15.800000,15.900000,15.900000,22321700
2009-11-02,15.750000,15.900000,15.590000,15.850000,15.850000,15258200
2009-11-03,15.710000,15.790000,15.630000,15.700000,15.700000,17240200
2009-11-04,15.900000,15.900000,15.660000,15.690000,15.690000,18697100
2009-11-05,15.800000,16.000000,15.740000,15.900000,15.900000,27732500
2009-11-06,15.890000,16.030001,15.760000,15.940000,15.940000,13562500
2009-11-09,16.129999,16.190001,15.970000,16.020000,16.020000,14831900
2009-11-10,16.080000,16.360001,16.010000,16.040001,16.040001,24097400
2009-11-11,16.000000,16.160000,15.920000,16.090000,16.090000,16346100
2009-11-12,16.100000,16.280001,15.970000,16.000000,16.000000,10210100
2009-11-13,16.040001,16.100000,15.920000,15.930000,15.930000,26453800
2009-11-16,16.080000,16.190001,15.920000,16.070000,16.070000,26125200
2009-11-17,15.890000,16.110001,15.730000,16.049999,16.049999,22249500
2009-11-18,16.020000,16.129999,15.840000,15.980000,15.980000,12775400
2009-11-19,15.830000,15.850000,15.520000,15.610000,15.610000,26891000
2009-11-20,15.600000,15.740000,15.360000,15.380000,15.380000,16127300
2009-11-23,15.580000,15.650000,15.340000,15.450000,15.450000,24501400
2009-11-24,15.380000,15.490000,15.200000,15.240000,15.240000,19774000
2009-11-25,15.290000,15.350000,15.170000,15.300000,15.300000,21370600
2009-11-27,15.040000,15.090000,14.880000,15.000000,15.000000,11452900
2009-11-30,14.900000,15.100000,14.800000,14.970000,14.970000,17587000
2009-12-01,15.030000,15.190000,14.850000,15.130000,15.130000,17096500
2009-12-02,15.170000,15.500000,15.160000,15.310000,15.310000,17807800
2009-12-03,15.330000,15.380000,15.100000,15.110000,15.110000,17196200
2009-12-04,15.320000,15.380000,15.000000,15.190000,15.190000,17576000
2009-12-07,15.360000,15.650000,15.320000,15.450000,15.450000,18035200
2009-12-08,15.450000,15.900000,15.230000,15.450000,15.450000,31160600
2009-12-09,15.520000,15.540000,15.120000,15.180000,15.180000,25396900
2009-12-10,15.340000,15.570000,15.240000,15.490000,15.490000,18743000
2009-12-11,15.850000,15.900000,15.620000,15.740000,15.740000,22607500
2009-12-14,15.900000,15.970000,15.640000,15.810000,15.810000,18086300
2009-12-15,15.770000,15.880000,15.650000,15.740000,15.740000,13272900
2009-12-16,15.570000,15.820000,15.470000,15.790000,15.790000,20637500
2009-12-17,15.720000,15.960000,15.640000,15.820000,15.820000,26156700
2009-12-18,15.940000,16.139999,15.780000,16.139999,16.139999,30021100
2009-12-21,16.110001,16.170000,15.850000,15.880000,15.880000,17806100
2009-12-22,15.880000,16.080000,15.820000,15.980000,15.980000,10631600
2009-12-23,16.350000,16.700001,16.000000,16.670000,16.670000,23584100
2009-12-24,16.690001,16.750000,16.650000,16.719999,16.719999,4736600
2009-12-28,16.740000,16.940001,16.680000,16.879999,16.879999,11504300
2009-12-29,16.840000,16.969999,16.680000,16.920000,16.920000,13450200
2009-12-30,16.830000,16.990000,16.809999,16.980000,16.980000,8188000
2009-12-31,16.920000,16.959999,16.770000,16.780001,16.780001,9515600
2010-01-04,16.940001,17.200001,16.879999,17.100000,17.100000,16587400
2010-01-05,17.219999,17.230000,17.000000,17.230000,17.230000,11718100
2010-01-06,17.170000,17.299999,17.070000,17.170000,17.170000,16422000
2010-01-07,16.809999,16.900000,16.570000,16.700001,16.700001,31816300
2010-01-08,16.680000,16.760000,16.620001,16.700001,16.700001,15470000
2010-01-11,16.770000,16.830000,16.480000,16.740000,16.740000,16181900
2010-01-12,16.650000,16.860001,16.600000,16.680000,16.680000,15672400
2010-01-13,16.879999,16.980000,16.650000,16.900000,16.900000,16955600
2010-01-14,16.809999,17.230000,16.799999,17.120001,17.120001,16715600
2010-01-15,17.250000,17.250000,16.750000,16.820000,16.820000,18415000
2010-01-19,16.780001,16.959999,16.639999,16.750000,16.750000,15182600
2010-01-20,16.650000,16.680000,16.250000,16.379999,16.379999,14419500
2010-01-21,16.389999,16.580000,16.100000,16.200001,16.200001,21858400
2010-01-22,16.080000,16.209999,15.810000,15.880000,15.880000,25132800
2010-01-25,16.070000,16.110001,15.740000,15.860000,15.860000,19683700
2010-01-26,15.820000,16.170000,15.700000,15.990000,15.990000,43979400
2010-01-27,16.459999,16.490000,15.770000,15.980000,15.980000,41701000
2010-01-28,15.930000,15.960000,15.440000,15.440000,15.440000,30159500
2010-01-29,15.510000,15.670000,14.900000,15.010000,15.010000,39664600
2010-02-01,15.140000,15.300000,14.870000,15.050000,15.050000,29865700
2010-02-02,15.100000,15.320000,15.030000,15.170000,15.170000,27555200
2010-02-03,15.120000,15.600000,15.120000,15.460000,15.460000,24730600
2010-02-04,15.340000,15.520000,14.990000,15.010000,15.010000,27668100
2010-02-05,15.010000,15.250000,14.920000,15.190000,15.190000,20713800
2010-02-08,15.180000,15.470000,14.950000,14.990000,14.990000,19856400
2010-02-09,15.200000,15.240000,14.940000,15.070000,15.070000,16716900
2010-02-10,15.020000,15.020000,14.480000,14.800000,14.800000,36518100
2010-02-11,14.870000,15.250000,14.770000,15.220000,15.220000,24509500
2010-02-12,15.070000,15.190000,14.850000,15.170000,15.170000,18926400
2010-02-16,15.230000,15.480000,15.180000,15.410000,15.410000,21447200
2010-02-17,15.500000,15.520000,15.320000,15.440000,15.440000,12731900
2010-02-18,15.400000,15.600000,15.320000,15.540000,15.540000,13700100
2010-02-19,15.490000,15.710000,15.330000,15.580000,15.580000,15407900
2010-02-22,15.610000,15.680000,15.440000,15.490000,15.490000,10463500
2010-02-23,15.450000,15.510000,15.140000,15.380000,15.380000,18346700
2010-02-24,15.480000,15.710000,15.330000,15.590000,15.590000,19284200
2010-02-25,15.320000,15.350000,15.130000,15.240000,15.240000,20126900
2010-02-26,15.270000,15.410000,15.160000,15.310000,15.310000,14975600
2010-03-01,15.430000,15.830000,15.400000,15.790000,15.790000,17238000
2010-03-02,15.870000,15.960000,15.670000,15.730000,15.730000,20101800
2010-03-03,15.850000,15.850000,15.550000,15.570000,15.570000,20613800
2010-03-04,15.550000,15.850000,15.520000,15.810000,15.810000,22906000
2010-03-05,15.890000,16.379999,15.890000,16.059999,16.059999,21415000
2010-03-08,16.320000,16.610001,16.299999,16.520000,16.520000,30554000
2010-03-09,16.410000,16.719999,16.400000,16.530001,16.530001,20755200
2010-03-10,16.510000,16.940001,16.510000,16.790001,16.790001,33088600
2010-03-11,16.570000,16.650000,16.100000,16.530001,16.530001,21732900
2010-03-12,16.510000,16.590000,16.260000,16.320000,16.320000,23106400
2010-03-15,16.350000,16.639999,16.280001,16.459999,16.459999,18967700
2010-03-16,16.469999,16.590000,16.230000,16.360001,16.360001,18309900
2010-03-17,16.280001,16.629999,16.280001,16.500000,16.500000,13754600
2010-03-18,16.459999,16.570000,16.320000,16.559999,16.559999,12626200
2010-03-19,16.620001,16.809999,16.340000,16.440001,16.440001,17871000
2010-03-22,16.370001,16.540001,16.320000,16.340000,16.340000,18743500
2010-03-23,16.340000,16.340000,15.970000,16.030001,16.030001,31875700
2010-03-24,16.100000,16.200001,15.920000,16.090000,16.090000,32654500
2010-03-25,16.170000,16.590000,16.139999,16.320000,16.320000,27487400
2010-03-26,16.340000,16.570000,16.309999,16.540001,16.540001,23224900
2010-03-29,16.480000,16.680000,16.469999,16.559999,16.559999,14902800
2010-03-30,16.549999,16.690001,16.389999,16.610001,16.610001,16204100
2010-03-31,16.450001,16.580000,16.420000,16.530001,16.530001,11996900
2010-04-01,16.580000,16.600000,16.219999,16.290001,16.290001,20103800
2010-04-05,16.389999,16.559999,16.299999,16.510000,16.510000,9220200
2010-04-06,16.549999,16.980000,16.420000,16.920000,16.920000,25696700
2010-04-07,16.780001,16.920000,16.760000,16.870001,16.870001,19921000
2010-04-08,16.910000,17.410000,16.900000,17.350000,17.350000,45369200
2010-04-09,17.420000,18.070000,17.250000,17.520000,17.520000,47732000
2010-04-12,17.520000,17.879999,17.410000,17.639999,17.639999,22828900
2010-04-13,17.510000,18.299999,17.400000,18.180000,18.180000,47514500
2010-04-14,18.150000,18.469999,18.059999,18.379999,18.379999,41024800
2010-04-15,18.299999,19.120001,18.129999,18.969999,18.969999,60024700
2010-04-16,18.670000,18.680000,17.959999,18.170000,18.170000,51424700
2010-04-19,18.010000,18.400000,17.990000,18.389999,18.389999,26971800
2010-04-20,18.500000,18.530001,18.230000,18.379999,18.379999,39171900
2010-04-21,17.580000,17.780001,17.299999,17.450001,17.450001,71686200
2010-04-22,17.370001,17.780001,17.150000,17.719999,17.719999,36231400
2010-04-23,17.709999,17.830000,17.500000,17.639999,17.639999,18901000
2010-04-26,17.690001,17.719999,17.340000,17.389999,17.389999,17363800
2010-04-27,17.280001,17.360001,16.879999,16.920000,16.920000,22851000
2010-04-28,16.980000,17.000000,16.629999,16.750000,16.750000,26452500
2010-04-29,16.820000,17.049999,16.780001,16.969999,16.969999,16788100
2010-04-30,17.110001,17.129999,16.530001,16.530001,16.530001,19688200
2010-05-03,16.680000,16.990000,16.559999,16.950001,16.950001,18162400
2010-05-04,16.629999,16.900000,16.250000,16.320000,16.320000,31375300
2010-05-05,16.170000,16.700001,16.110001,16.490000,16.490000,23004200
2010-05-06,16.340000,16.510000,15.430000,15.920000,15.920000,32125800
2010-05-07,15.770000,15.950000,15.250000,15.290000,15.290000,43941000
2010-05-10,16.040001,16.830000,16.000000,16.330000,16.330000,28103500
2010-05-11,15.950000,16.639999,15.910000,16.410000,16.410000,27786500
2010-05-12,16.450001,16.500000,16.330000,16.469999,16.469999,16405900
2010-05-13,16.490000,16.500000,16.080000,16.139999,16.139999,15363800
2010-05-14,16.510000,16.660000,16.139999,16.389999,16.389999,28111400
2010-05-17,16.410000,16.469999,15.960000,16.270000,16.270000,21935000
2010-05-18,16.270000,16.440001,15.950000,16.030001,16.030001,16182200
2010-05-19,15.830000,16.000000,15.510000,15.790000,15.790000,20485400
2010-05-20,15.450000,15.490000,15.060000,15.100000,15.100000,33789000
2010-05-21,14.810000,15.900000,14.630000,15.480000,15.480000,31215300
2010-05-24,15.420000,15.790000,15.360000,15.540000,15.540000,20116800
2010-05-25,15.040000,15.310000,14.890000,15.310000,15.310000,27856300
2010-05-26,15.600000,15.830000,15.430000,15.450000,15.450000,33656000
2010-05-27,15.830000,15.840000,15.360000,15.690000,15.690000,31091700
2010-05-28,15.610000,15.690000,15.000000,15.340000,15.340000,17619700
2010-06-01,15.310000,15.550000,14.980000,15.020000,15.020000,30475500
2010-06-02,15.040000,15.200000,14.960000,15.180000,15.180000,24993000
2010-06-03,15.320000,15.500000,15.160000,15.430000,15.430000,28395100
2010-06-04,15.120000,15.380000,14.960000,15.000000,15.000000,23606400
2010-06-07,15.190000,15.360000,14.940000,14.940000,14.940000,19153200
2010-06-08,15.050000,15.120000,14.620000,14.790000,14.790000,35500700
2010-06-09,14.930000,15.060000,14.650000,14.690000,14.690000,18108600
2010-06-10,14.940000,15.140000,14.870000,15.100000,15.100000,21249100
2010-06-11,15.020000,15.350000,14.980000,15.290000,15.290000,14056600
2010-06-14,15.460000,15.490000,15.150000,15.170000,15.170000,12493100
2010-06-15,15.290000,15.690000,15.230000,15.650000,15.650000,13888300
2010-06-16,15.580000,15.650000,15.340000,15.490000,15.490000,15920300
2010-06-17,15.720000,15.720000,15.440000,15.600000,15.600000,10769300
2010-06-18,15.660000,15.670000,15.470000,15.540000,15.540000,12767100
2010-06-21,15.710000,15.840000,15.090000,15.210000,15.210000,20412800
2010-06-22,15.240000,15.510000,15.070000,15.090000,15.090000,22418100
2010-06-23,15.140000,15.390000,14.950000,15.230000,15.230000,13374000
2010-06-24,15.110000,15.190000,14.700000,14.830000,14.830000,18287700
2010-06-25,14.860000,14.920000,14.570000,14.810000,14.810000,29817600
2010-06-28,14.830000,14.860000,14.580000,14.730000,14.730000,8175400
2010-06-29,14.530000,14.540000,13.880000,14.040000,14.040000,31825900
2010-06-30,13.950000,14.220000,13.790000,13.840000,13.840000,23912900
2010-07-01,13.990000,14.150000,13.750000,14.090000,14.090000,33222500
2010-07-02,14.080000,14.240000,14.030000,14.070000,14.070000,18564400
2010-07-06,14.230000,14.460000,14.000000,14.130000,14.130000,17334100
2010-07-07,14.180000,14.420000,14.120000,14.400000,14.400000,17417900
2010-07-08,14.430000,14.770000,14.400000,14.600000,14.600000,17088700
2010-07-09,14.600000,14.930000,14.590000,14.890000,14.890000,12682000
2010-07-12,14.930000,15.210000,14.780000,14.940000,14.940000,15585900
2010-07-13,15.060000,15.600000,14.990000,15.520000,15.520000,22328800
2010-07-14,15.320000,15.420000,15.200000,15.370000,15.370000,12255700
2010-07-15,15.310000,15.390000,15.040000,15.370000,15.370000,12626600
2010-07-16,15.330000,15.370000,13.860000,14.900000,14.900000,16829800
2010-07-19,15.230000,15.380000,15.020000,15.100000,15.100000,16168200
2010-07-20,14.990000,15.280000,14.800000,15.200000,15.200000,29578300
2010-07-21,14.270000,14.280000,13.750000,13.910000,13.910000,78035800
2010-07-22,13.890000,14.170000,13.810000,13.880000,13.880000,42677600
2010-07-23,13.780000,14.040000,13.520000,13.990000,13.990000,34318400
2010-07-26,13.960000,14.220000,13.950000,14.150000,14.150000,23247800
2010-07-27,14.070000,14.100000,13.890000,13.950000,13.950000,20971000
2010-07-28,13.910000,13.990000,13.850000,13.870000,13.870000,13522600
2010-07-29,13.900000,13.960000,13.750000,13.760000,13.760000,16703000
2010-07-30,13.690000,13.980000,13.680000,13.880000,13.880000,18380400
2010-08-02,14.010000,14.080000,13.960000,14.000000,14.000000,14167200
2010-08-03,13.950000,14.070000,13.910000,13.940000,13.940000,14098600
2010-08-04,14.000000,14.200000,13.920000,14.180000,14.180000,14297200
2010-08-05,14.160000,14.250000,14.020000,14.160000,14.160000,13072700
2010-08-06,14.060000,14.380000,14.000000,14.340000,14.340000,13394800
2010-08-09,14.340000,14.520000,14.340000,14.400000,14.400000,12202600
2010-08-10,14.260000,14.460000,14.200000,14.350000,14.350000,9658000
2010-08-11,14.140000,14.200000,13.840000,13.870000,13.870000,13235500
2010-08-12,13.770000,13.990000,13.750000,13.850000,13.850000,11659900
2010-08-13,13.810000,13.960000,13.760000,13.830000,13.830000,7845600
2010-08-16,13.750000,13.900000,13.680000,13.790000,13.790000,11416400
2010-08-17,13.840000,14.000000,13.750000,13.940000,13.940000,13298600
2010-08-18,13.980000,14.050000,13.840000,13.990000,13.990000,15533300
2010-08-19,13.850000,14.000000,13.800000,13.850000,13.850000,14100700
2010-08-20,13.850000,13.950000,13.740000,13.790000,13.790000,17192200
2010-08-23,13.810000,13.870000,13.540000,13.650000,13.650000,12297600
2010-08-24,13.530000,13.640000,13.390000,13.400000,13.400000,13425800
2010-08-25,13.290000,13.370000,13.140000,13.260000,13.260000,15556800
2010-08-26,13.360000,13.400000,13.210000,13.210000,13.210000,14602700
2010-08-27,13.240000,13.470000,13.030000,13.430000,13.430000,12705600
2010-08-30,13.270000,13.420000,13.180000,13.180000,13.180000,7120900
2010-08-31,13.110000,13.140000,12.940000,13.110000,13.110000,16489500
2010-09-01,13.200000,13.410000,13.130000,13.370000,13.370000,24616700
2010-09-02,13.330000,13.550000,13.260000,13.510000,13.510000,18190200
2010-09-03,13.690000,13.750000,13.560000,13.620000,13.620000,12478500
2010-09-07,13.560000,13.620000,13.500000,13.530000,13.530000,10240600
2010-09-08,13.660000,13.820000,13.620000,13.750000,13.750000,12102700
2010-09-09,13.880000,13.920000,13.570000,13.650000,13.650000,17735500
2010-09-10,13.680000,13.770000,13.540000,13.680000,13.680000,18590100
2010-09-13,13.830000,13.880000,13.610000,13.730000,13.730000,24261400
2010-09-14,13.760000,13.760000,13.600000,13.630000,13.630000,23064500
2010-09-15,14.030000,14.350000,13.770000,14.270000,14.270000,90035400
2010-09-16,14.200000,14.230000,13.980000,14.190000,14.190000,27281500
2010-09-17,14.330000,14.330000,13.880000,13.890000,13.890000,79565400
2010-09-20,13.950000,14.060000,13.840000,13.860000,13.860000,26234600
2010-09-21,13.940000,14.260000,13.920000,14.180000,14.180000,32048400
2010-09-22,14.190000,14.250000,13.970000,14.040000,14.040000,18567400
2010-09-23,13.930000,14.240000,13.930000,14.170000,14.170000,16931600
2010-09-24,14.300000,14.510000,14.240000,14.500000,14.500000,24154800
2010-09-27,14.460000,14.530000,14.250000,14.280000,14.280000,20674000
2010-09-28,14.330000,14.450000,14.140000,14.390000,14.390000,16074100
2010-09-29,14.360000,14.390000,14.060000,14.340000,14.340000,24475700
2010-09-30,14.260000,14.350000,13.990000,14.170000,14.170000,20376200
2010-10-01,14.190000,14.350000,14.130000,14.270000,14.270000,16096500
2010-10-04,14.200000,14.320000,14.130000,14.280000,14.280000,20557500
2010-10-05,14.450000,14.770000,14.400000,14.610000,14.610000,23988400
2010-10-06,14.600000,14.700000,14.340000,14.520000,14.520000,20297000
2010-10-07,14.600000,14.610000,14.140000,14.230000,14.230000,18068600
2010-10-08,14.210000,14.560000,14.180000,14.490000,14.490000,16102900
2010-10-11,14.450000,14.580000,14.380000,14.410000,14.410000,8348200
2010-10-12,14.360000,14.470000,14.270000,14.430000,14.430000,12465700
2010-10-13,14.570000,15.480000,14.500000,15.250000,15.250000,50773400
2010-10-14,16.750000,16.760000,15.750000,15.930000,15.930000,123449900
2010-10-15,16.170000,16.730000,15.900000,16.250000,16.250000,58481800
2010-10-18,16.200001,16.280001,15.750000,15.930000,15.930000,35876500
2010-10-19,15.730000,15.800000,15.370000,15.490000,15.490000,32678600
2010-10-20,15.790000,16.250000,15.790000,15.800000,15.800000,37790200
2010-10-21,15.900000,16.000000,15.730000,15.970000,15.970000,26935500
2010-10-22,15.900000,16.410000,15.860000,16.309999,16.309999,24264100
2010-10-25,16.299999,16.440001,16.150000,16.400000,16.400000,17251500
2010-10-26,16.219999,16.480000,16.200001,16.459999,16.459999,22349000
2010-10-27,16.400000,16.430000,16.200001,16.420000,16.420000,13764400
2010-10-28,16.450001,16.450001,16.309999,16.400000,16.400000,12689500
2010-10-29,16.370001,16.520000,16.330000,16.490000,16.490000,16013700
2010-11-01,16.500000,16.520000,16.080000,16.150000,16.150000,14360600
2010-11-02,16.290001,16.400000,16.180000,16.190001,16.190001,9964700
2010-11-03,16.209999,16.230000,16.010000,16.170000,16.170000,17325500
2010-11-04,16.309999,16.350000,16.020000,16.200001,16.200001,26484700
2010-11-05,16.180000,16.400000,16.180000,16.270000,16.270000,13414000
2010-11-08,16.290001,16.500000,16.250000,16.440001,16.440001,15561500
2010-11-09,17.219999,17.600000,16.860001,16.969999,16.969999,56218900
2010-11-10,17.000000,17.010000,16.750000,16.940001,16.940001,17012600
2010-11-11,16.629999,16.860001,16.520000,16.799999,16.799999,15310600
2010-11-12,16.650000,16.750000,16.400000,16.549999,16.549999,17703400
2010-11-15,16.559999,16.889999,16.330000,16.600000,16.600000,18934600
2010-11-16,16.450001,16.490000,16.100000,16.240000,16.240000,23484100
2010-11-17,16.209999,16.330000,16.110001,16.150000,16.150000,10305800
2010-11-18,16.400000,17.170000,16.290001,16.990000,16.990000,46500100
2010-11-19,16.969999,16.969999,16.520000,16.570000,16.570000,24036200
2010-11-22,16.430000,16.650000,16.250000,16.559999,16.559999,14316900
2010-11-23,16.340000,16.430000,16.040001,16.190001,16.190001,22437900
2010-11-24,16.309999,16.480000,16.150000,16.410000,16.410000,11561700
2010-11-26,16.250000,16.400000,16.219999,16.219999,16.219999,4953900
2010-11-29,16.100000,16.450001,15.950000,16.379999,16.379999,14653000
2010-11-30,16.200001,16.340000,15.770000,15.820000,15.820000,24981100
2010-12-01,16.000000,16.400000,16.000000,16.150000,16.150000,17435900
2010-12-02,16.200001,16.410000,16.120001,16.330000,16.330000,13167300
2010-12-03,16.270000,16.370001,16.200001,16.350000,16.350000,9228000
2010-12-06,16.469999,16.600000,16.299999,16.330000,16.330000,12063800
2010-12-07,16.500000,17.070000,16.500000,16.940001,16.940001,29056400
2010-12-08,17.010000,17.219999,16.959999,17.020000,17.020000,21773300
2010-12-09,17.120001,17.190001,16.799999,16.950001,16.950001,8673300
2010-12-10,16.969999,17.049999,16.910000,17.010000,17.010000,8985300
2010-12-13,16.900000,16.990000,16.690001,16.700001,16.700001,12755400
2010-12-14,16.770000,16.840000,16.570000,16.629999,16.629999,11429500
2010-12-15,16.549999,16.730000,16.420000,16.450001,16.450001,10944200
2010-12-16,16.450001,16.700001,16.440001,16.510000,16.510000,12940500
2010-12-17,16.510000,16.660000,16.320000,16.379999,16.379999,24896100
2010-12-20,16.379999,16.420000,16.150000,16.280001,16.280001,17566400
2010-12-21,16.309999,16.680000,16.200001,16.600000,16.600000,11394700
2010-12-22,16.670000,16.780001,16.559999,16.629999,16.629999,6767500
2010-12-23,16.559999,16.730000,16.450001,16.719999,16.719999,8889200
2010-12-27,16.620001,16.629999,16.400000,16.480000,16.480000,7492300
2010-12-28,16.469999,16.540001,16.330000,16.430000,16.430000,8389100
2010-12-29,16.500000,16.770000,16.430000,16.610001,16.610001,7668600
2010-12-30,16.600000,16.770000,16.520000,16.760000,16.760000,8318900
2010-12-31,16.740000,16.760000,16.469999,16.629999,16.629999,7754500
2011-01-03,16.809999,16.940001,16.670000,16.750000,16.750000,17684000
2011-01-04,16.709999,16.830000,16.570000,16.590000,16.590000,11092800
2011-01-05,16.549999,16.910000,16.340000,16.910000,16.910000,23447700
2011-01-06,16.900000,17.340000,16.770000,17.059999,17.059999,30656800
2011-01-07,17.030001,17.170000,16.650000,16.900000,16.900000,19869500
2011-01-10,16.780001,16.799999,16.500000,16.600000,16.600000,16176700
2011-01-11,16.700001,16.730000,16.530001,16.580000,16.580000,14615700
2011-01-12,16.709999,16.809999,16.590000,16.650000,16.650000,15066200
2011-01-13,16.639999,16.920000,16.570000,16.750000,16.750000,15961000
2011-01-14,16.670000,16.830000,16.600000,16.809999,16.809999,13593500
2011-01-18,16.620001,16.680000,16.420000,16.500000,16.500000,21392500
2011-01-19,16.490000,16.549999,16.230000,16.309999,16.309999,17130000
2011-01-20,16.290001,16.330000,16.090000,16.230000,16.230000,14622700
2011-01-21,16.270000,16.309999,15.930000,15.970000,15.970000,23366200
2011-01-24,16.000000,16.240000,15.760000,16.090000,16.090000,23375300
2011-01-25,16.170000,16.190001,15.850000,16.020000,16.020000,26673100
2011-01-26,15.930000,16.049999,15.410000,15.570000,15.570000,49690800
2011-01-27,15.580000,16.360001,15.580000,16.200001,16.200001,39067000
2011-01-28,16.150000,16.209999,15.680000,15.830000,15.830000,24734000
2011-01-31,15.820000,16.200001,15.790000,16.120001,16.120001,22911400
2011-02-01,16.330000,16.459999,16.230000,16.379999,16.379999,26938900
2011-02-02,16.250000,16.660000,16.250000,16.570000,16.570000,21106800
2011-02-03,16.480000,16.910000,16.400000,16.690001,16.690001,33314600
2011-02-04,16.740000,16.910000,16.450001,16.790001,16.790001,19127900
2011-02-07,16.809999,17.000000,16.770000,16.799999,16.799999,16046500
2011-02-08,16.830000,16.850000,16.480000,16.600000,16.600000,17932000
2011-02-09,16.540001,16.700001,16.350000,16.430000,16.430000,17778700
2011-02-10,16.389999,16.719999,16.350000,16.620001,16.620001,15430500
2011-02-11,16.580000,16.870001,16.540001,16.850000,16.850000,15386300
2011-02-14,16.840000,16.930000,16.719999,16.889999,16.889999,14503000
2011-02-15,16.799999,17.389999,16.780001,17.200001,17.200001,31395200
2011-02-16,17.230000,17.820000,17.209999,17.760000,17.760000,41824100
2011-02-17,17.750000,17.820000,17.500000,17.770000,17.770000,23566600
2011-02-18,17.690001,17.840000,17.570000,17.660000,17.660000,13729900
2011-02-22,17.080000,17.389999,16.870001,16.910000,16.910000,34759500
2011-02-23,17.030001,17.100000,16.350000,16.580000,16.580000,35225100
2011-02-24,16.660000,16.730000,16.040001,16.370001,16.370001,31570400
2011-02-25,16.389999,16.770000,16.379999,16.500000,16.500000,16939600
2011-02-28,16.370001,16.600000,16.280001,16.400000,16.400000,20210300
2011-03-01,16.459999,16.490000,16.080000,16.100000,16.100000,16702800
2011-03-02,16.650000,16.850000,16.600000,16.629999,16.629999,24521100
2011-03-03,16.850000,17.049999,16.760000,16.860001,16.860001,35202100
2011-03-04,16.750000,17.200001,16.719999,17.080000,17.080000,20274200
2011-03-07,17.070000,17.150000,16.490000,16.700001,16.700001,18770800
2011-03-08,16.740000,17.020000,16.719999,16.940001,16.940001,12717200
2011-03-09,16.889999,17.700001,16.850000,17.650000,17.650000,33798000
2011-03-10,17.299999,17.389999,16.930000,17.059999,17.059999,25659700
2011-03-11,17.000000,17.540001,17.000000,17.420000,17.420000,19454900
2011-03-14,17.240000,17.440001,17.090000,17.309999,17.309999,21615500
2011-03-15,16.660000,16.680000,16.040001,16.330000,16.330000,51489300
2011-03-16,16.330000,16.480000,15.850000,15.910000,15.910000,38378500
2011-03-17,16.160000,16.420000,15.810000,15.860000,15.860000,37548800
2011-03-18,16.100000,16.190001,16.010000,16.030001,16.030001,26660400
2011-03-21,16.180000,16.500000,16.160000,16.290001,16.290001,20613700
2011-03-22,16.290001,16.480000,16.160000,16.360001,16.360001,30692400
2011-03-23,16.299999,16.340000,15.980000,16.129999,16.129999,30842500
2011-03-24,16.190001,16.910000,16.170000,16.830000,16.830000,20120300
2011-03-25,16.940001,17.049999,16.700001,16.959999,16.959999,21047200
2011-03-28,17.010000,17.059999,16.580000,16.580000,16.580000,16066700
2011-03-29,16.600000,16.780001,16.530001,16.750000,16.750000,10037900
2011-03-30,16.830000,16.920000,16.680000,16.740000,16.740000,12944600
2011-03-31,16.709999,16.879999,16.650000,16.680000,16.680000,15131500
2011-04-01,16.830000,16.980000,16.719999,16.840000,16.840000,12487400
2011-04-04,16.900000,17.049999,16.809999,16.870001,16.870001,9560800
2011-04-05,16.809999,17.290001,16.790001,17.110001,17.110001,18464500
2011-04-06,17.170000,17.200001,16.940001,17.049999,17.049999,13298700
2011-04-07,16.910000,17.100000,16.790001,17.000000,17.000000,12778700
2011-04-08,17.080000,17.110001,16.770000,16.770000,16.770000,13114200
2011-04-11,16.910000,16.959999,16.370001,16.590000,16.590000,34841900
2011-04-12,16.549999,16.639999,16.290001,16.360001,16.360001,19783600
2011-04-13,16.430000,16.690001,16.430000,16.639999,16.639999,16700400
2011-04-14,16.549999,16.820000,16.430000,16.690001,16.690001,16595500
2011-04-15,16.639999,16.780001,16.540001,16.620001,16.620001,14756500
2011-04-18,16.350000,16.440001,16.059999,16.350000,16.350000,21935700
2011-04-19,16.209999,16.360001,16.080000,16.120001,16.120001,31547400
2011-04-20,16.700001,17.230000,16.590000,16.870001,16.870001,34310400
2011-04-21,16.930000,16.940001,16.740000,16.850000,16.850000,13985200
2011-04-25,17.010000,17.309999,16.900000,17.110001,17.110001,17771500
2011-04-26,17.110001,17.370001,17.020000,17.280001,17.280001,20000000
2011-04-27,17.299999,17.430000,17.180000,17.260000,17.260000,16642400
2011-04-28,17.219999,17.530001,17.170000,17.510000,17.510000,14400000
2011-04-29,17.459999,17.770000,17.360001,17.700001,17.700001,30800000
2011-05-02,17.790001,18.350000,17.570000,18.139999,18.139999,44030600
2011-05-03,18.230000,18.639999,17.879999,17.920000,17.920000,32600000
2011-05-04,17.990000,18.379999,17.959999,18.200001,18.200001,23584900
2011-05-05,18.120001,18.559999,18.049999,18.430000,18.430000,30800000
2011-05-06,18.590000,18.799999,18.379999,18.650000,18.650000,29690800
2011-05-09,18.600000,18.840000,18.540001,18.559999,18.559999,15595600
2011-05-10,18.670000,18.700001,18.420000,18.549999,18.549999,18475100
2011-05-11,18.450001,18.610001,16.740000,17.200001,17.200001,131200000
2011-05-12,17.120001,17.809999,16.930000,17.170000,17.170000,53000000
2011-05-13,16.139999,16.840000,15.960000,16.549999,16.549999,120057600
2011-05-16,16.680000,16.690001,15.630000,15.810000,15.810000,62082200
2011-05-17,15.880000,16.070000,15.730000,16.000000,16.000000,31205200
2011-05-18,16.070000,16.160000,15.750000,15.960000,15.960000,25880200
2011-05-19,16.049999,16.490000,16.040001,16.350000,16.350000,40356400
2011-05-20,16.320000,16.440001,16.150000,16.299999,16.299999,23582700
2011-05-23,16.049999,16.170000,16.000000,16.059999,16.059999,19300000
2011-05-24,16.110001,16.410000,16.049999,16.139999,16.139999,23150600
2011-05-25,16.190001,16.990000,16.100000,16.150000,16.150000,34172600
2011-05-26,16.180000,16.219999,15.880000,15.980000,15.980000,23999500
2011-05-27,16.030001,16.190001,15.950000,16.020000,16.020000,20091200
2011-05-31,16.170000,16.590000,16.120001,16.549999,16.549999,30266600
2011-06-01,16.340000,16.430000,15.790000,15.850000,15.850000,40295600
2011-06-02,16.000000,16.110001,15.870000,16.020000,16.020000,21005000
2011-06-03,15.820000,16.000000,15.630000,15.680000,15.680000,22245200
2011-06-06,15.650000,15.850000,15.410000,15.450000,15.450000,18200400
2011-06-07,15.540000,15.650000,15.320000,15.450000,15.450000,16516100
2011-06-08,15.370000,15.380000,15.080000,15.100000,15.100000,21986600
2011-06-09,15.180000,15.330000,14.940000,15.220000,15.220000,18681900
2011-06-10,15.270000,15.730000,15.110000,15.200000,15.200000,19452400
2011-06-13,15.200000,15.340000,15.100000,15.160000,15.160000,14581200
2011-06-14,15.260000,15.560000,15.190000,15.200000,15.200000,21994400
2011-06-15,15.010000,15.050000,14.500000,14.810000,14.810000,41286100
2011-06-16,15.010000,15.090000,14.650000,14.780000,14.780000,24446700
2011-06-17,14.980000,14.980000,14.560000,14.700000,14.700000,22963400
2011-06-20,14.660000,15.420000,14.660000,14.990000,14.990000,32646500
2011-06-21,15.030000,15.380000,14.910000,15.350000,15.350000,17507800
2011-06-22,15.290000,15.530000,15.190000,15.230000,15.230000,30154700
2011-06-23,15.080000,15.090000,14.720000,15.080000,15.080000,32524700
2011-06-24,15.080000,15.160000,14.850000,14.890000,14.890000,25340600
2011-06-27,14.870000,14.980000,14.770000,14.880000,14.880000,13836300
2011-06-28,14.950000,15.180000,14.880000,14.950000,14.950000,16056600
2011-06-29,14.960000,15.050000,14.680000,14.890000,14.890000,25465200
2011-06-30,14.980000,15.100000,14.640000,15.040000,15.040000,34905700
2011-07-01,15.080000,15.500000,15.020000,15.450000,15.450000,16272500
2011-07-05,15.400000,15.670000,15.250000,15.490000,15.490000,20481700
2011-07-06,15.530000,15.810000,15.520000,15.720000,15.720000,18287200
2011-07-07,15.780000,15.950000,15.700000,15.810000,15.810000,20991400
2011-07-08,15.620000,15.690000,15.440000,15.610000,15.610000,14364900
2011-07-11,15.430000,15.440000,14.990000,15.050000,15.050000,21486700
2011-07-12,15.010000,15.180000,14.850000,14.860000,14.860000,22791100
2011-07-13,15.010000,15.100000,14.870000,14.910000,14.910000,16646100
2011-07-14,14.880000,14.990000,14.600000,14.630000,14.630000,27078600
2011-07-15,14.750000,14.940000,14.610000,14.690000,14.690000,19745100
2011-07-18,14.680000,14.690000,14.370000,14.420000,14.420000,24504800
2011-07-19,14.570000,14.690000,14.450000,14.590000,14.590000,30168200
2011-07-20,14.150000,14.150000,13.450000,13.480000,13.480000,63098400
2011-07-21,13.500000,13.630000,13.360000,13.590000,13.590000,30487100
2011-07-22,13.650000,14.050000,13.570000,13.980000,13.980000,30144800
2011-07-25,13.840000,13.880000,13.680000,13.690000,13.690000,16725400
2011-07-26,13.700000,13.990000,13.650000,13.940000,13.940000,20934200
2011-07-27,13.870000,13.900000,13.570000,13.590000,13.590000,20559500
2011-07-28,13.600000,13.710000,13.430000,13.500000,13.500000,20636500
2011-07-29,13.890000,14.070000,13.040000,13.100000,13.100000,67798500
2011-08-01,13.240000,13.340000,12.950000,13.100000,13.100000,26880000
2011-08-02,12.960000,13.180000,12.750000,12.760000,12.760000,25800300
2011-08-03,12.770000,13.070000,12.530000,13.020000,13.020000,26161900
2011-08-04,12.800000,12.860000,11.990000,12.000000,12.000000,39442300
2011-08-05,12.080000,12.120000,11.410000,11.740000,11.740000,47066200
2011-08-08,11.430000,11.800000,11.090000,11.090000,11.090000,59577600
2011-08-09,11.300000,12.090000,11.250000,12.090000,12.090000,47484100
2011-08-10,11.770000,12.140000,11.620000,11.770000,11.770000,48027400
2011-08-11,11.890000,12.920000,11.880000,12.860000,12.860000,51098800
2011-08-12,12.810000,13.620000,12.760000,13.590000,13.590000,48472500
2011-08-15,13.630000,13.690000,13.270000,13.470000,13.470000,25682800
2011-08-16,13.340000,13.570000,13.180000,13.480000,13.480000,25581900
2011-08-17,13.490000,13.620000,13.320000,13.470000,13.470000,17006500
2011-08-18,13.020000,13.090000,12.800000,12.960000,12.960000,30447700
2011-08-19,12.750000,13.080000,12.720000,12.920000,12.920000,26183900
2011-08-22,13.160000,13.230000,12.770000,12.840000,12.840000,14199400
2011-08-23,12.910000,13.350000,12.750000,13.350000,13.350000,17186500
2011-08-24,13.280000,13.300000,12.790000,13.150000,13.150000,24967200
2011-08-25,13.120000,13.210000,12.810000,12.870000,12.870000,21811800
2011-08-26,12.800000,12.890000,12.520000,12.740000,12.740000,35882600
2011-08-29,12.900000,13.680000,12.690000,13.680000,13.680000,30990800
2011-08-30,13.300000,13.980000,13.230000,13.840000,13.840000,29162300
2011-08-31,13.910000,13.940000,13.540000,13.610000,13.610000,25390700
2011-09-01,13.670000,13.780000,13.320000,13.350000,13.350000,17962700
2011-09-02,13.120000,13.130000,12.860000,12.870000,12.870000,20508600
2011-09-06,12.520000,12.950000,12.450000,12.910000,12.910000,54455300
2011-09-07,13.750000,14.000000,13.240000,13.610000,13.610000,77324200
2011-09-08,13.570000,14.490000,13.370000,14.440000,14.440000,93972000
2011-09-09,14.360000,14.570000,14.070000,14.480000,14.480000,60031900
2011-09-12,14.120000,14.280000,13.920000,14.260000,14.260000,32692700
2011-09-13,14.300000,14.340000,14.120000,14.260000,14.260000,19928800
2011-09-14,14.470000,14.940000,14.340000,14.550000,14.550000,37385000
2011-09-15,14.730000,15.400000,14.510000,14.890000,14.890000,58585100
2011-09-16,15.090000,15.340000,14.940000,14.970000,14.970000,56827900
2011-09-19,14.760000,14.790000,14.400000,14.610000,14.610000,27290100
2011-09-20,14.530000,14.660000,14.280000,14.360000,14.360000,21767200
2011-09-21,14.380000,14.600000,13.960000,13.960000,13.960000,32012800
2011-09-22,14.200000,14.250000,13.690000,13.990000,13.990000,60456300
2011-09-23,14.230000,14.830000,14.120000,14.710000,14.710000,49333200
2011-09-26,14.790000,14.800000,14.230000,14.750000,14.750000,24466200
2011-09-27,14.920000,15.000000,14.440000,14.540000,14.540000,25084400
2011-09-28,14.610000,14.620000,14.150000,14.190000,14.190000,21284700
2011-09-29,14.340000,14.390000,13.150000,13.420000,13.420000,45776600
2011-09-30,13.210000,13.440000,13.110000,13.170000,13.170000,30232800
2011-10-03,13.700000,14.040000,13.370000,13.530000,13.530000,43196300
2011-10-04,14.000000,14.480000,13.870000,14.460000,14.460000,44487200
2011-10-05,14.660000,16.150000,14.390000,15.920000,15.920000,97330200
2011-10-06,15.160000,15.800000,14.920000,15.650000,15.650000,49961100
2011-10-07,15.640000,15.750000,15.380000,15.470000,15.470000,27954000
2011-10-10,15.860000,16.040001,15.620000,15.840000,15.840000,33085000
2011-10-11,15.790000,15.950000,15.590000,15.860000,15.860000,18050300
2011-10-12,15.930000,15.950000,15.670000,15.770000,15.770000,20585400
2011-10-13,15.760000,16.370001,15.540000,15.930000,15.930000,32487300
2011-10-14,16.129999,16.150000,15.660000,15.910000,15.910000,23520100
2011-10-17,15.950000,16.040001,15.650000,15.700000,15.700000,21204000
2011-10-18,15.720000,15.740000,15.110000,15.470000,15.470000,31377900
2011-10-19,16.040001,16.790001,15.730000,15.940000,15.940000,54264500
2011-10-20,16.200001,16.490000,15.970000,16.180000,16.180000,40816900
2011-10-21,16.379999,16.389999,16.059999,16.120001,16.120001,29739400
2011-10-24,16.570000,16.750000,16.309999,16.709999,16.709999,29864000
2011-10-25,16.660000,16.700001,16.180000,16.240000,16.240000,24059700
2011-10-26,16.330000,16.440001,15.860000,16.299999,16.299999,23630100
2011-10-27,16.559999,16.700001,16.450001,16.629999,16.629999,19772200
2011-10-28,16.410000,16.700001,16.250000,16.559999,16.559999,20286900
2011-10-31,16.059999,16.070000,15.450000,15.640000,15.640000,39763700
2011-11-01,14.950000,15.080000,14.750000,14.930000,14.930000,41834700
2011-11-02,15.100000,15.300000,15.000000,15.100000,15.100000,20758800
2011-11-03,15.200000,15.500000,15.030000,15.480000,15.480000,16809500
2011-11-04,15.390000,15.540000,14.950000,15.240000,15.240000,41853000
2011-11-07,15.260000,15.700000,15.250000,15.690000,15.690000,22390700
2011-11-08,15.870000,16.180000,15.810000,15.970000,15.970000,25079700
2011-11-09,16.170000,16.500000,15.870000,15.920000,15.920000,45328300
2011-11-10,16.180000,16.219999,15.840000,15.950000,15.950000,15366400
2011-11-11,15.960000,16.309999,15.910000,16.270000,16.270000,14541600
2011-11-14,16.170000,16.309999,15.930000,16.000000,16.000000,14277600
2011-11-15,15.930000,16.049999,15.700000,15.930000,15.930000,17650700
2011-11-16,15.800000,16.100000,15.700000,15.720000,15.720000,14367600
2011-11-17,15.690000,15.770000,15.200000,15.340000,15.340000,17443700
2011-11-18,15.570000,15.690000,15.370000,15.380000,15.380000,17160300
2011-11-21,15.190000,15.190000,14.770000,14.990000,14.990000,23676900
2011-11-22,14.880000,15.080000,14.750000,14.970000,14.970000,14836000
2011-11-23,15.200000,15.240000,14.830000,14.940000,14.940000,20125200
2011-11-25,15.000000,15.250000,14.900000,15.100000,15.100000,10781800
2011-11-28,15.240000,15.470000,15.210000,15.350000,15.350000,19029000
2011-11-29,15.600000,15.940000,15.450000,15.700000,15.700000,29294000
2011-11-30,15.900000,16.040001,15.650000,15.710000,15.710000,34718200
2011-12-01,16.420000,16.459999,16.090000,16.230000,16.230000,47059800
2011-12-02,16.309999,16.410000,16.030001,16.049999,16.049999,22714500
2011-12-05,16.110001,16.139999,15.830000,15.890000,15.890000,19896500
2011-12-06,15.900000,16.049999,15.840000,15.840000,15.840000,17333200
2011-12-07,15.820000,15.860000,15.560000,15.620000,15.620000,19750500
2011-12-08,15.600000,15.760000,15.530000,15.610000,15.610000,18126100
2011-12-09,15.610000,15.960000,15.600000,15.940000,15.940000,13446300
2011-12-12,15.710000,15.720000,15.410000,15.470000,15.470000,14689400
2011-12-13,15.540000,15.740000,15.350000,15.420000,15.420000,15584400
2011-12-14,15.190000,15.280000,14.800000,15.020000,15.020000,27251100
2011-12-15,15.210000,15.290000,15.010000,15.160000,15.160000,14829800
2011-12-16,15.050000,15.260000,14.920000,14.960000,14.960000,32617200
2011-12-19,14.950000,15.000000,14.570000,14.620000,14.620000,21447300
2011-12-20,14.680000,15.190000,14.680000,15.110000,15.110000,15885700
2011-12-21,15.150000,16.240000,14.740000,15.990000,15.990000,47127600
2011-12-22,16.360001,16.400000,15.950000,16.000000,16.000000,33812800
2011-12-23,16.049999,16.260000,15.870000,16.190001,16.190001,17865900
2011-12-27,16.160000,16.170000,16.010000,16.090000,16.090000,9739500
2011-12-28,16.030001,16.049999,15.670000,15.780000,15.780000,14679900
2011-12-29,15.950000,16.230000,15.800000,16.129999,16.129999,15280900
2011-12-30,16.180000,16.209999,16.030001,16.129999,16.129999,10832800
2012-01-03,16.270000,16.389999,16.200001,16.290001,16.290001,19708600
2012-01-04,16.120001,16.160000,15.740000,15.780000,15.780000,35655300
2012-01-05,15.600000,15.690000,15.440000,15.640000,15.640000,19422800
2012-01-06,15.640000,15.660000,15.400000,15.520000,15.520000,13308400
2012-01-09,15.590000,15.610000,15.350000,15.460000,15.460000,13191900
2012-01-10,15.570000,15.710000,15.500000,15.510000,15.510000,14048800
2012-01-11,15.560000,15.620000,15.350000,15.530000,15.530000,10800800
2012-01-12,15.580000,15.730000,15.450000,15.660000,15.660000,12664600
2012-01-13,15.650000,15.670000,15.430000,15.480000,15.480000,11704700
2012-01-17,15.630000,15.660000,15.390000,15.430000,15.430000,15334200
2012-01-18,15.870000,16.000000,15.690000,15.920000,15.920000,35695800
2012-01-19,15.900000,16.150000,15.890000,16.120001,16.120001,22645000
2012-01-20,16.110001,16.110001,15.850000,15.960000,15.960000,22003800
2012-01-23,15.850000,15.930000,15.640000,15.680000,15.680000,17864500
2012-01-24,15.570000,15.810000,15.550000,15.690000,15.690000,17152200
2012-01-25,15.600000,15.710000,15.460000,15.560000,15.560000,23349500
2012-01-26,15.630000,15.690000,15.420000,15.530000,15.530000,15408400
2012-01-27,15.500000,15.800000,15.460000,15.740000,15.740000,10859000
2012-01-30,15.610000,15.650000,15.500000,15.550000,15.550000,11076900
2012-01-31,15.540000,15.620000,15.410000,15.470000,15.470000,10725500
2012-02-01,15.570000,15.800000,15.530000,15.730000,15.730000,13221000
2012-02-02,15.760000,15.820000,15.690000,15.720000,15.720000,9948800
2012-02-03,15.940000,15.980000,15.830000,15.920000,15.920000,13652100
2012-02-06,15.940000,15.950000,15.760000,15.820000,15.820000,11291100
2012-02-07,15.840000,15.890000,15.740000,15.830000,15.830000,13504500
2012-02-08,15.960000,15.970000,15.720000,15.780000,15.780000,13439400
2012-02-09,16.100000,16.100000,15.900000,16.000000,16.000000,22553000
2012-02-10,16.020000,16.309999,16.000000,16.139999,16.139999,27790100
2012-02-13,16.129999,16.240000,16.049999,16.120001,16.120001,10067300
2012-02-14,16.070000,16.100000,14.920000,15.370000,15.370000,88638700
2012-02-15,15.230000,15.300000,15.080000,15.120000,15.120000,25318400
2012-02-16,15.250000,15.380000,15.100000,15.360000,15.360000,15377400
2012-02-17,15.410000,15.440000,15.000000,15.010000,15.010000,22889500
2012-02-21,15.040000,15.070000,14.750000,14.750000,14.750000,29696600
2012-02-22,14.680000,14.750000,14.430000,14.500000,14.500000,27187200
2012-02-23,14.550000,14.810000,14.370000,14.780000,14.780000,15689700
2012-02-24,14.860000,14.970000,14.830000,14.890000,14.890000,12105400
2012-02-27,14.740000,14.910000,14.720000,14.860000,14.860000,13431000
2012-02-28,14.930000,14.990000,14.760000,14.900000,14.900000,15395600
2012-02-29,14.890000,14.930000,14.780000,14.830000,14.830000,19611100
2012-03-01,14.890000,14.960000,14.790000,14.930000,14.930000,12283300
2012-03-02,14.890000,14.920000,14.660000,14.720000,14.720000,9164900
2012-03-05,14.660000,14.950000,14.520000,14.620000,14.620000,11749700
2012-03-06,14.610000,14.690000,14.350000,14.420000,14.420000,12696600
2012-03-07,14.480000,14.710000,14.440000,14.620000,14.620000,10622500
2012-03-08,14.700000,14.770000,14.520000,14.620000,14.620000,11271400
2012-03-09,14.630000,14.700000,14.610000,14.630000,14.630000,9769900
2012-03-12,14.660000,14.760000,14.480000,14.490000,14.490000,11309200
2012-03-13,14.540000,14.620000,14.390000,14.550000,14.550000,17134400
2012-03-14,14.540000,14.640000,14.420000,14.630000,14.630000,14765500
2012-03-15,14.640000,14.980000,14.570000,14.890000,14.890000,19809800
2012-03-16,14.950000,15.180000,14.920000,15.180000,15.180000,28337600
2012-03-19,15.080000,15.220000,14.920000,15.150000,15.150000,16649600
2012-03-20,15.000000,15.610000,14.920000,15.410000,15.410000,22095600
2012-03-21,15.420000,15.610000,15.170000,15.510000,15.510000,25024100
2012-03-22,15.510000,15.560000,15.380000,15.490000,15.490000,14618600
2012-03-23,15.520000,15.590000,15.310000,15.390000,15.390000,8493700
2012-03-26,15.460000,15.560000,15.360000,15.540000,15.540000,11500800
2012-03-27,15.530000,15.550000,15.410000,15.430000,15.430000,11891000
2012-03-28,15.450000,15.480000,15.140000,15.320000,15.320000,18831800
2012-03-29,15.190000,15.340000,15.110000,15.300000,15.300000,9933800
2012-03-30,15.370000,15.420000,15.180000,15.220000,15.220000,15514100
2012-04-02,15.190000,15.510000,15.110000,15.460000,15.460000,14423800
2012-04-03,15.360000,15.430000,15.060000,15.180000,15.180000,18215000
2012-04-04,15.150000,15.340000,15.000000,15.270000,15.270000,20954600
2012-04-05,15.140000,15.260000,15.000000,15.070000,15.070000,11717000
2012-04-09,15.000000,15.250000,14.960000,15.100000,15.100000,11335400
2012-04-10,15.080000,15.180000,14.910000,14.990000,14.990000,15284200
2012-04-11,15.080000,15.080000,14.840000,14.880000,14.880000,11200900
2012-04-12,14.900000,15.100000,14.840000,15.060000,15.060000,9487500
2012-04-13,14.990000,15.180000,14.860000,14.870000,14.870000,15335800
2012-04-16,15.000000,15.040000,14.730000,14.790000,14.790000,13639200
2012-04-17,14.820000,15.180000,14.820000,15.010000,15.010000,20559000
2012-04-18,15.400000,15.570000,15.300000,15.490000,15.490000,36559000
2012-04-19,15.440000,15.570000,15.360000,15.400000,15.400000,18431200
2012-04-20,15.410000,15.700000,15.390000,15.600000,15.600000,24558400
2012-04-23,15.410000,15.470000,15.290000,15.330000,15.330000,21683700
2012-04-24,15.330000,15.520000,15.330000,15.430000,15.430000,12140200
2012-04-25,15.430000,15.510000,15.380000,15.500000,15.500000,13236900
2012-04-26,15.440000,15.550000,15.380000,15.530000,15.530000,12542800
2012-04-27,15.510000,15.620000,15.490000,15.570000,15.570000,9711600
2012-04-30,15.550000,15.570000,15.450000,15.540000,15.540000,10894600
2012-05-01,15.510000,15.730000,15.500000,15.630000,15.630000,9799300
2012-05-02,15.580000,15.770000,15.540000,15.670000,15.670000,10841000
2012-05-03,15.650000,15.650000,15.330000,15.400000,15.400000,10932700
2012-05-04,15.250000,15.290000,15.090000,15.150000,15.150000,13771300
2012-05-07,15.340000,15.490000,15.160000,15.350000,15.350000,13466000
2012-05-08,15.310000,15.440000,15.090000,15.360000,15.360000,18603600
2012-05-09,15.170000,15.450000,15.030000,15.300000,15.300000,19008500
2012-05-10,15.400000,15.540000,15.300000,15.440000,15.440000,11175700
2012-05-11,14.880000,15.440000,14.800000,15.190000,15.190000,21134300
2012-05-14,15.480000,15.770000,15.400000,15.500000,15.500000,30818600
2012-05-15,15.470000,15.550000,15.340000,15.400000,15.400000,13742500
2012-05-16,15.400000,15.570000,15.260000,15.280000,15.280000,17247400
2012-05-17,15.260000,15.370000,14.850000,14.870000,14.870000,17345100
2012-05-18,15.780000,15.870000,15.360000,15.420000,15.420000,32679400
2012-05-21,16.000000,16.000000,15.100000,15.580000,15.580000,51145800
2012-05-22,15.580000,15.610000,15.190000,15.290000,15.290000,33542000
2012-05-23,15.190000,15.430000,15.140000,15.380000,15.380000,18115300
2012-05-24,15.340000,15.510000,15.220000,15.350000,15.350000,13875600
2012-05-25,15.400000,15.480000,15.280000,15.360000,15.360000,13629000
2012-05-29,15.400000,15.550000,15.280000,15.470000,15.470000,18464900
2012-05-30,15.300000,15.340000,15.160000,15.250000,15.250000,14924600
2012-05-31,15.230000,15.370000,15.120000,15.240000,15.240000,17160000
2012-06-01,15.040000,15.120000,14.850000,14.920000,14.920000,16196700
2012-06-04,14.900000,15.030000,14.810000,15.010000,15.010000,15478000
2012-06-05,15.000000,15.140000,14.910000,15.100000,15.100000,9725400
2012-06-06,15.140000,15.410000,15.140000,15.360000,15.360000,18295500
2012-06-07,15.470000,15.500000,15.330000,15.360000,15.360000,12635700
2012-06-08,15.520000,15.680000,15.400000,15.650000,15.650000,16420600
2012-06-11,15.730000,15.730000,15.270000,15.300000,15.300000,17145100
2012-06-12,15.350000,15.520000,15.260000,15.470000,15.470000,17012500
2012-06-13,15.470000,15.490000,15.270000,15.340000,15.340000,16454100
2012-06-14,15.300000,15.460000,15.250000,15.360000,15.360000,11612700
2012-06-15,15.440000,15.440000,15.330000,15.360000,15.360000,11716500
2012-06-18,15.330000,15.540000,15.270000,15.490000,15.490000,9654000
2012-06-19,15.520000,15.690000,15.510000,15.650000,15.650000,10635800
2012-06-20,15.690000,15.750000,15.580000,15.740000,15.740000,11260700
2012-06-21,15.740000,15.800000,15.470000,15.520000,15.520000,13102700
2012-06-22,15.530000,15.700000,15.520000,15.610000,15.610000,11042700
2012-06-25,15.510000,15.550000,15.310000,15.440000,15.440000,13383100
2012-06-26,15.400000,15.470000,15.190000,15.350000,15.350000,13640400
2012-06-27,15.410000,15.630000,15.380000,15.520000,15.520000,11261800
2012-06-28,15.410000,15.480000,15.290000,15.450000,15.450000,12479200
2012-06-29,15.610000,15.830000,15.530000,15.830000,15.830000,13501800
2012-07-02,15.800000,15.940000,15.760000,15.840000,15.840000,7226600
2012-07-03,15.830000,15.990000,15.820000,15.980000,15.980000,8148400
2012-07-05,15.900000,15.990000,15.810000,15.850000,15.850000,11440800
2012-07-06,15.800000,15.910000,15.680000,15.780000,15.780000,12151600
2012-07-09,15.780000,15.840000,15.700000,15.750000,15.750000,10375900
2012-07-10,15.830000,15.980000,15.710000,15.820000,15.820000,15933900
2012-07-11,15.820000,15.940000,15.680000,15.800000,15.800000,16482300
2012-07-12,15.630000,15.810000,15.540000,15.690000,15.690000,18390200
2012-07-13,15.700000,15.840000,15.690000,15.740000,15.740000,11811600
2012-07-16,15.690000,15.800000,15.600000,15.650000,15.650000,14982900
2012-07-17,15.850000,15.890000,15.420000,15.600000,15.600000,30596300
2012-07-18,15.640000,15.750000,15.510000,15.700000,15.700000,19270600
2012-07-19,15.710000,15.860000,15.640000,15.730000,15.730000,15985300
2012-07-20,15.750000,15.940000,15.680000,15.920000,15.920000,16919700
2012-07-23,15.700000,15.810000,15.590000,15.760000,15.760000,14825800
2012-07-24,15.740000,15.760000,15.230000,15.430000,15.430000,19733400
2012-07-25,15.520000,15.640000,15.400000,15.500000,15.500000,15092000
2012-07-26,15.690000,15.880000,15.620000,15.800000,15.800000,11033200
2012-07-27,15.880000,16.170000,15.840000,16.110001,16.110001,14220800
2012-07-30,16.150000,16.150000,15.900000,15.980000,15.980000,10187600
2012-07-31,16.000000,16.059999,15.810000,15.840000,15.840000,13753800
2012-08-01,15.860000,16.070000,15.830000,15.990000,15.990000,14008000
2012-08-02,15.860000,16.000000,15.640000,15.750000,15.750000,12900500
2012-08-03,15.890000,16.030001,15.820000,15.970000,15.970000,9140800
2012-08-06,16.000000,16.070000,15.950000,16.040001,16.040001,8803900
2012-08-07,16.090000,16.370001,16.070000,16.219999,16.219999,17281700
2012-08-08,16.150000,16.320000,16.090000,16.170000,16.170000,7379000
2012-08-09,16.160000,16.160000,15.980000,16.010000,16.010000,8613100
2012-08-10,15.250000,15.350000,15.010000,15.150000,15.150000,61987300
2012-08-13,15.030000,15.210000,15.000000,15.020000,15.020000,20849400
2012-08-14,15.040000,15.050000,14.690000,14.730000,14.730000,29655200
2012-08-15,14.770000,14.860000,14.650000,14.760000,14.760000,20682900
2012-08-16,14.810000,15.010000,14.750000,14.990000,14.990000,24971900
2012-08-17,15.020000,15.070000,14.850000,15.030000,15.030000,19640700
2012-08-20,14.990000,15.050000,14.880000,14.960000,14.960000,11193900
2012-08-21,14.950000,15.010000,14.880000,14.970000,14.970000,27934700
2012-08-22,14.950000,14.990000,14.860000,14.920000,14.920000,9168400
2012-08-23,14.900000,14.970000,14.820000,14.870000,14.870000,12463000
2012-08-24,14.820000,14.940000,14.770000,14.920000,14.920000,8650400
2012-08-27,14.920000,14.930000,14.770000,14.850000,14.850000,10054000
2012-08-28,14.840000,14.870000,14.690000,14.720000,14.720000,12706400
2012-08-29,14.730000,14.940000,14.700000,14.840000,14.840000,21113600
2012-08-30,14.810000,14.840000,14.640000,14.670000,14.670000,10698800
2012-08-31,14.790000,14.820000,14.590000,14.650000,14.650000,11619700
2012-09-04,14.640000,14.980000,14.590000,14.890000,14.890000,18809200
2012-09-05,14.860000,15.140000,14.850000,15.090000,15.090000,21118800
2012-09-06,15.130000,15.150000,14.960000,15.110000,15.110000,18011600
2012-09-07,15.120000,15.290000,15.100000,15.220000,15.220000,12988700
2012-09-10,15.190000,15.280000,15.110000,15.110000,15.110000,10520100
2012-09-11,15.090000,15.250000,15.060000,15.160000,15.160000,8036400
2012-09-12,15.300000,15.550000,15.280000,15.400000,15.400000,22006000
2012-09-13,15.380000,15.690000,15.370000,15.600000,15.600000,12136300
2012-09-14,15.700000,15.840000,15.620000,15.770000,15.770000,17642600
2012-09-17,15.810000,15.840000,15.630000,15.680000,15.680000,11697700
2012-09-18,15.650000,16.170000,15.600000,15.910000,15.910000,42449600
2012-09-19,15.960000,16.129999,15.840000,15.860000,15.860000,30681100
2012-09-20,15.760000,15.860000,15.650000,15.790000,15.790000,18169800
2012-09-21,15.720000,15.820000,15.660000,15.740000,15.740000,49167000
2012-09-24,15.690000,16.040001,15.600000,16.000000,16.000000,23019900
2012-09-25,16.090000,16.090000,15.670000,15.680000,15.680000,22966300
2012-09-26,15.710000,15.810000,15.550000,15.610000,15.610000,12784100
2012-09-27,15.900000,16.200001,15.790000,16.040001,16.040001,24416200
2012-09-28,16.010000,16.090000,15.930000,15.980000,15.980000,19744300
2012-10-01,16.000000,16.090000,15.770000,15.830000,15.830000,20601900
2012-10-02,16.030001,16.040001,15.880000,15.940000,15.940000,13696700
2012-10-03,16.000000,16.240000,15.990000,16.209999,16.209999,20399000
2012-10-04,16.219999,16.350000,16.150000,16.270000,16.270000,17283900
2012-10-05,16.270000,16.379999,16.090000,16.090000,16.090000,9240400
2012-10-08,16.020000,16.160000,16.000000,16.030001,16.030001,11736700
2012-10-09,16.030001,16.049999,15.810000,15.850000,15.850000,14110000
2012-10-10,15.830000,15.990000,15.800000,15.830000,15.830000,14546300
2012-10-11,15.940000,16.020000,15.840000,15.920000,15.920000,12973000
2012-10-12,15.900000,16.020000,15.860000,15.880000,15.880000,12239100
2012-10-15,15.850000,15.870000,15.650000,15.680000,15.680000,20786500
2012-10-16,15.820000,15.980000,15.760000,15.920000,15.920000,20574100
2012-10-17,15.850000,16.120001,15.830000,16.090000,16.090000,19570500
2012-10-18,16.230000,16.240000,15.830000,16.000000,16.000000,26361000
2012-10-19,16.000000,16.030001,15.830000,15.840000,15.840000,32893100
2012-10-22,15.810000,15.950000,15.740000,15.770000,15.770000,32288000
2012-10-23,16.530001,16.790001,16.260000,16.670000,16.670000,71575400
2012-10-24,16.780001,16.799999,16.480000,16.549999,16.549999,25119700
2012-10-25,16.719999,16.770000,16.490000,16.610001,16.610001,23080800
2012-10-26,16.540001,16.820000,16.520000,16.790001,16.790001,23374200
2012-10-31,16.809999,16.889999,16.600000,16.840000,16.840000,21058800
2012-11-01,16.900000,17.049999,16.860001,16.950001,16.950001,19764900
2012-11-02,17.000000,17.139999,16.950001,17.110001,17.110001,27568700
2012-11-05,17.100000,17.430000,17.010000,17.370001,17.370001,31854300
2012-11-06,17.440001,17.530001,17.320000,17.459999,17.459999,26321200
2012-11-07,17.240000,17.559999,17.180000,17.389999,17.389999,24344200
2012-11-08,17.299999,17.500000,17.230000,17.240000,17.240000,20322000
2012-11-09,17.219999,17.520000,17.180000,17.260000,17.260000,23832100
2012-11-12,17.180000,17.559999,17.170000,17.510000,17.510000,22361500
2012-11-13,17.420000,17.850000,17.379999,17.850000,17.850000,29016900
2012-11-14,17.900000,18.080000,17.750000,17.830000,17.830000,36398900
2012-11-15,17.820000,18.160000,17.740000,17.889999,17.889999,35659000
2012-11-16,17.910000,18.020000,17.760000,17.860001,17.860001,31014300
2012-11-19,18.020000,18.370001,17.870001,18.360001,18.360001,32995900
2012-11-20,18.440001,18.500000,18.190001,18.240000,18.240000,26228200
2012-11-21,18.240000,18.500000,18.200001,18.400000,18.400000,19584800
2012-11-23,18.500000,18.590000,18.400000,18.570000,18.570000,7714800
2012-11-26,18.879999,19.000000,18.700001,18.760000,18.760000,34042700
2012-11-27,18.870001,19.160000,18.799999,18.930000,18.930000,29330500
2012-11-28,18.780001,18.950001,18.530001,18.910000,18.910000,30313200
2012-11-29,18.950001,19.030001,18.850000,18.870001,18.870001,27259800
2012-11-30,18.900000,18.950001,18.690001,18.770000,18.770000,24075300
2012-12-03,18.549999,18.840000,18.340000,18.549999,18.549999,29603000
2012-12-04,18.639999,18.959999,18.600000,18.930000,18.930000,30725600
2012-12-05,18.980000,19.030001,18.770000,18.889999,18.889999,24739100
2012-12-06,18.780001,19.280001,18.770000,19.200001,19.200001,25312800
2012-12-07,19.160000,19.299999,19.059999,19.200001,19.200001,19159700
2012-12-10,19.180000,19.469999,19.150000,19.430000,19.430000,24127800
2012-12-11,19.530001,19.629999,19.430000,19.520000,19.520000,19049500
2012-12-12,19.559999,19.600000,19.340000,19.379999,19.379999,22899200
2012-12-13,19.440001,19.540001,19.260000,19.350000,19.350000,20454600
2012-12-14,19.400000,19.719999,19.400000,19.639999,19.639999,19580400
2012-12-17,19.719999,19.740000,19.530001,19.690001,19.690001,14760300
2012-12-18,19.719999,19.760000,19.580000,19.620001,19.620001,17094600
2012-12-19,19.590000,19.690001,19.580000,19.600000,19.600000,12351400
2012-12-20,19.580000,19.709999,19.410000,19.690001,19.690001,24572800
2012-12-21,19.490000,19.490000,19.230000,19.350000,19.350000,32727700
2012-12-24,19.450001,19.660000,19.379999,19.650000,19.650000,11431500
2012-12-26,19.700001,19.750000,19.520000,19.570000,19.570000,9376200
2012-12-27,19.540001,19.670000,19.440001,19.600000,19.600000,13999400
2012-12-28,19.440001,19.570000,19.280001,19.500000,19.500000,16667800
2012-12-31,19.430000,19.969999,19.400000,19.900000,19.900000,20645100
2013-01-02,20.200001,20.320000,20.010000,20.080000,20.080000,20463100
2013-01-03,20.049999,20.100000,19.719999,19.780001,19.780001,19504400
2013-01-04,19.760000,19.950001,19.719999,19.860001,19.860001,12489600
2013-01-07,19.559999,19.580000,19.280001,19.400000,19.400000,23864500
2013-01-08,19.320000,19.680000,19.299999,19.660000,19.660000,16931700
2013-01-09,19.730000,19.750000,19.219999,19.320000,19.320000,21646700
2013-01-10,19.190001,19.379999,18.930000,18.990000,18.990000,30647000
2013-01-11,19.049999,19.379999,18.889999,19.290001,19.290001,21552200
2013-01-14,19.330000,19.540001,19.250000,19.430000,19.430000,13828400
2013-01-15,19.280001,19.540001,19.280001,19.520000,19.520000,16087600
2013-01-16,19.910000,20.139999,19.620001,20.070000,20.070000,33291700
2013-01-17,20.139999,20.209999,20.000000,20.129999,20.129999,14500600
2013-01-18,20.070000,20.170000,19.969999,20.020000,20.020000,13535100
2013-01-22,19.910000,19.950001,19.719999,19.900000,19.900000,13866900
2013-01-23,19.980000,20.190001,19.910000,20.110001,20.110001,13857900
2013-01-24,20.080000,20.520000,20.070000,20.440001,20.440001,13711400
2013-01-25,20.430000,20.480000,20.230000,20.370001,20.370001,14954300
2013-01-28,20.500000,20.500000,20.200001,20.309999,20.309999,39510100
2013-01-29,20.870001,20.879999,19.680000,19.700001,19.700001,57652300
2013-01-30,19.920000,20.120001,19.690001,20.120001,20.120001,36572300
2013-01-31,19.920000,19.990000,19.570000,19.629999,19.629999,34973700
2013-02-01,19.770000,19.830000,19.580000,19.760000,19.760000,27610600
2013-02-04,19.760000,19.809999,19.309999,19.340000,19.340000,23906500
2013-02-05,19.490000,19.780001,19.420000,19.660000,19.660000,13559800
2013-02-06,19.629999,19.900000,19.590000,19.850000,19.850000,15392300
2013-02-07,20.100000,20.430000,19.930000,20.320000,20.320000,24705600
2013-02-08,20.379999,20.610001,20.299999,20.500000,20.500000,22249700
2013-02-11,20.440001,20.980000,20.389999,20.900000,20.900000,22089900
2013-02-12,20.940001,21.400000,20.889999,21.209999,21.209999,27750200
2013-02-13,21.150000,21.430000,21.070000,21.150000,21.150000,18797900
2013-02-14,21.100000,21.260000,21.059999,21.180000,21.180000,12817900
2013-02-15,21.150000,21.250000,20.900000,21.020000,21.020000,12584000
2013-02-19,21.030001,21.410000,20.969999,21.290001,21.290001,16665800
2013-02-20,21.309999,21.450001,20.900000,20.920000,20.920000,14438900
2013-02-21,20.920000,21.000000,20.740000,20.830000,20.830000,13296100
2013-02-22,20.870001,21.309999,20.850000,21.219999,21.219999,13673300
2013-02-25,21.260000,21.320000,20.719999,20.730000,20.730000,13334900
2013-02-26,20.680000,20.850000,20.580000,20.760000,20.760000,14038200
2013-02-27,20.809999,21.309999,20.690001,21.160000,21.160000,15697300
2013-02-28,21.059999,21.570000,21.049999,21.309999,21.309999,18873700
2013-03-01,21.360001,22.280001,21.260000,21.940001,21.940001,33776700
2013-03-04,22.370001,22.740000,22.200001,22.700001,22.700001,30075300
2013-03-05,22.910000,23.080000,22.610001,22.950001,22.950001,30497400
2013-03-06,23.080000,23.090000,22.709999,22.799999,22.799999,15193900
2013-03-07,22.920000,23.000000,22.650000,22.700001,22.700001,12881800
2013-03-08,22.920000,22.959999,22.709999,22.900000,22.900000,10583500
2013-03-11,22.799999,23.000000,22.570000,22.600000,22.600000,16489200
2013-03-12,22.510000,22.580000,22.190001,22.400000,22.400000,12012300
2013-03-13,22.480000,22.480000,22.160000,22.340000,22.340000,13956200
2013-03-14,22.469999,22.750000,22.410000,22.430000,22.430000,12798500
2013-03-15,22.340000,22.389999,21.969999,22.070000,22.070000,33557400
2013-03-18,21.900000,22.170000,21.870001,22.010000,22.010000,15071700
2013-03-19,22.059999,22.330000,21.889999,22.170000,22.170000,12846900
2013-03-20,22.030001,22.330000,21.950001,22.100000,22.100000,18094100
2013-03-21,22.389999,22.950001,22.360001,22.860001,22.860001,24719100
2013-03-22,22.879999,23.260000,22.719999,23.260000,23.260000,18062100
2013-03-25,23.410000,23.879999,23.309999,23.379999,23.379999,23138900
2013-03-26,23.459999,23.620001,23.350000,23.590000,23.590000,16893200
2013-03-27,23.540001,23.830000,23.410000,23.590000,23.590000,13943600
2013-03-28,23.629999,23.770000,23.450001,23.530001,23.530001,17611900
2013-04-01,23.309999,23.620001,23.190001,23.500000,23.500000,12344300
2013-04-02,23.770000,23.900000,23.600000,23.780001,23.780001,14724800
2013-04-03,23.780001,23.879999,23.240000,23.379999,23.379999,14934300
2013-04-04,23.490000,23.719999,23.360001,23.520000,23.520000,12521200
2013-04-05,23.180000,23.410000,23.010000,23.299999,23.299999,14243700
2013-04-08,23.240000,23.480000,23.129999,23.480000,23.480000,9998100
2013-04-09,23.559999,24.000000,23.440001,23.830000,23.830000,14773900
2013-04-10,24.000000,24.320000,23.950001,24.200001,24.200001,17281900
2013-04-11,24.410000,24.570000,24.309999,24.490000,24.490000,12362500
2013-04-12,24.580000,24.799999,24.340000,24.690001,24.690001,13342800
2013-04-15,24.719999,24.990000,23.830000,23.980000,23.980000,28129600
2013-04-16,24.059999,24.260000,23.760000,23.790001,23.790001,30877500
2013-04-17,23.450001,24.100000,23.129999,23.700001,23.700001,45148600
2013-04-18,23.660000,23.700001,22.700001,23.260000,23.260000,25822300
2013-04-19,23.120001,23.629999,22.830000,23.469999,23.469999,17860200
2013-04-22,23.709999,23.959999,23.469999,23.950001,23.950001,15539700
2013-04-23,23.959999,24.450001,23.959999,24.379999,24.379999,16718000
2013-04-24,24.450001,24.969999,24.440001,24.750000,24.750000,15138800
2013-04-25,24.930000,25.290001,24.879999,25.200001,25.200001,17289100
2013-04-26,25.139999,25.370001,24.580000,24.680000,24.680000,19573300
2013-04-29,24.850000,24.910000,24.350000,24.430000,24.430000,12533100
2013-04-30,24.379999,24.790001,24.360001,24.730000,24.730000,10091200
2013-05-01,24.670000,24.719999,24.260000,24.299999,24.299999,11075000
2013-05-02,24.340000,24.969999,24.180000,24.969999,24.969999,10651000
2013-05-03,25.129999,25.250000,24.990000,25.070000,25.070000,11513900
2013-05-06,25.049999,25.340000,24.920000,25.170000,25.170000,11990500
2013-05-07,26.010000,26.790001,25.549999,26.070000,26.070000,25883100
2013-05-08,26.170000,26.660000,25.959999,26.410000,26.410000,24960800
2013-05-09,26.410000,26.490000,26.139999,26.240000,26.240000,11186000
2013-05-10,26.320000,26.860001,26.309999,26.830000,26.830000,16236400
2013-05-13,26.760000,26.830000,26.360001,26.389999,26.389999,15808000
2013-05-14,26.750000,26.870001,26.520000,26.639999,26.639999,14828200
2013-05-15,26.629999,27.680000,26.549999,27.340000,27.340000,21956500
2013-05-16,27.430000,27.430000,26.570000,26.580000,26.580000,18192300
2013-05-17,26.780001,26.980000,26.459999,26.520000,26.520000,14889300
2013-05-20,26.680000,27.049999,26.209999,26.580000,26.580000,25099100
2013-05-21,26.900000,27.129999,26.719999,27.000000,27.000000,14889000
2013-05-22,27.070000,27.190001,26.440001,26.540001,26.540001,16046200
2013-05-23,25.950001,26.270000,25.700001,26.020000,26.020000,23307000
2013-05-24,25.900000,26.480000,25.650000,26.330000,26.330000,14967100
2013-05-28,26.650000,26.770000,25.980000,26.070000,26.070000,19015300
2013-05-29,25.900000,26.040001,25.320000,25.809999,25.809999,18738900
2013-05-30,25.830000,26.500000,25.799999,26.330000,26.330000,12916200
2013-05-31,26.200001,26.600000,26.090000,26.299999,26.299999,23994200
2013-06-03,26.370001,26.620001,26.129999,26.389999,26.389999,16454100
2013-06-04,26.459999,26.570000,25.969999,26.260000,26.260000,13218300
2013-06-05,26.110001,26.250000,25.690001,25.750000,25.750000,14270500
2013-06-06,25.879999,26.209999,25.660000,26.209999,26.209999,13559000
2013-06-07,26.389999,27.090000,26.280001,27.040001,27.040001,16948700
2013-06-10,27.040001,27.120001,26.700001,26.740000,26.740000,15850700
2013-06-11,26.430000,26.879999,26.320000,26.400000,26.400000,10097100
2013-06-12,26.500000,26.530001,25.889999,25.889999,25.889999,11920800
2013-06-13,25.790001,26.459999,25.709999,26.370001,26.370001,9763800
2013-06-14,26.320000,26.549999,26.160000,26.280001,26.280001,7398800
2013-06-17,26.290001,26.850000,26.240000,26.540001,26.540001,10289700
2013-06-18,26.570000,26.889999,26.510000,26.660000,26.660000,9710700
2013-06-19,26.600000,26.780001,26.230000,26.240000,26.240000,11398300
2013-06-20,26.030001,26.049999,25.230000,25.350000,25.350000,19115500
2013-06-21,25.290001,25.430000,24.940001,25.190001,25.190001,24574100
2013-06-24,24.980000,25.090000,23.820000,24.070000,24.070000,37006200
2013-06-25,24.290001,25.010000,24.230000,24.959999,24.959999,18883900
2013-06-26,25.219999,25.680000,25.010000,25.290001,25.290001,12583100
2013-06-27,25.469999,25.980000,25.440001,25.469999,25.469999,14489800
2013-06-28,25.430000,25.540001,24.889999,25.129999,25.129999,26774300
2013-07-01,25.260000,25.540001,25.180000,25.240000,25.240000,10679300
2013-07-02,25.270000,25.500000,24.900000,24.990000,24.990000,10129600
2013-07-03,24.840000,25.639999,24.820000,25.590000,25.590000,6059100
2013-07-05,25.850000,26.260000,25.520000,25.680000,25.680000,11097500
2013-07-08,25.719999,25.990000,25.490000,25.530001,25.530001,10478400
2013-07-09,25.740000,26.700001,25.740000,26.680000,26.680000,17567800
2013-07-10,26.879999,27.070000,26.190001,26.559999,26.559999,15103300
2013-07-11,26.950001,27.190001,26.940001,27.040001,27.040001,17589800
2013-07-12,27.080000,27.440001,27.010000,27.230000,27.230000,17315300
2013-07-15,27.469999,27.469999,27.059999,27.340000,27.340000,16674800
2013-07-16,27.299999,27.450001,26.730000,26.879999,26.879999,31375200
2013-07-17,27.660000,29.730000,27.520000,29.660000,29.660000,83791400
2013-07-18,29.570000,29.830000,28.730000,29.660000,29.660000,35025600
2013-07-19,29.410000,29.719999,29.040001,29.110001,29.110001,20756900
2013-07-22,28.080000,28.420000,27.629999,27.860001,27.860001,46046400
2013-07-23,28.030001,28.040001,27.209999,27.360001,27.360001,25923400
2013-07-24,27.540001,27.920000,27.230000,27.840000,27.840000,22739800
2013-07-25,27.730000,28.459999,27.650000,28.270000,28.270000,20000600
2013-07-26,28.000000,28.340000,27.740000,28.110001,28.110001,11918700
2013-07-29,27.950001,28.330000,27.799999,27.930000,27.930000,11095100
2013-07-30,28.090000,28.230000,27.860001,28.049999,28.049999,10337800
2013-07-31,27.920000,28.209999,27.570000,28.090000,28.090000,20920100
2013-08-01,28.350000,28.450001,27.910000,27.959999,27.959999,13157600
2013-08-02,28.070000,28.090000,27.549999,27.650000,27.650000,11863400
2013-08-05,27.709999,27.799999,27.450001,27.670000,27.670000,7839200
2013-08-06,27.670000,27.750000,27.150000,27.320000,27.320000,10951100
2013-08-07,27.309999,27.510000,27.059999,27.389999,27.389999,9450700
2013-08-08,27.549999,27.620001,27.230000,27.480000,27.480000,8934400
2013-08-09,27.410000,27.700001,27.200001,27.680000,27.680000,13051100
2013-08-12,27.549999,28.370001,27.500000,28.350000,28.350000,16561900
2013-08-13,28.379999,28.600000,28.230000,28.340000,28.340000,14891300
2013-08-14,28.190001,28.209999,28.000000,28.049999,28.049999,8471400
2013-08-15,27.830000,27.830000,27.120001,27.139999,27.139999,14217100
2013-08-16,27.000000,27.600000,27.000000,27.320000,27.320000,14823400
2013-08-19,27.270000,27.440001,26.910000,26.910000,26.910000,11876000
2013-08-20,26.920000,27.309999,26.900000,27.120001,27.120001,10707200
2013-08-21,27.090000,27.490000,27.000000,27.059999,27.059999,8791300
2013-08-22,27.600000,28.010000,27.370001,27.900000,27.900000,15728600
2013-08-23,28.299999,28.320000,27.809999,27.990000,27.990000,13192900
2013-08-26,27.990000,28.040001,27.700001,27.700001,27.700001,9754400
2013-08-27,27.240000,27.459999,26.750000,27.000000,27.000000,14549500
2013-08-28,26.900000,27.240000,26.830000,27.110001,27.110001,9603100
2013-08-29,27.030001,27.450001,27.030001,27.299999,27.299999,13911900
2013-08-30,27.389999,27.440001,26.820000,27.120001,27.120001,16344400
2013-09-03,27.379999,27.870001,27.370001,27.780001,27.780001,14591100
2013-09-04,27.700001,28.120001,27.600000,28.070000,28.070000,8880500
2013-09-05,28.100000,28.350000,27.910000,28.230000,28.230000,8989600
2013-09-06,28.350000,28.500000,27.820000,28.170000,28.170000,10807500
2013-09-09,28.320000,29.320000,28.320000,29.240000,29.240000,21178000
2013-09-10,29.430000,29.629999,29.080000,29.480000,29.480000,13007600
2013-09-11,29.379999,29.410000,28.969999,29.190001,29.190001,10374600
2013-09-12,29.719999,30.270000,29.500000,29.650000,29.650000,22060700
2013-09-13,29.469999,29.469999,28.799999,29.260000,29.260000,13836600
2013-09-16,29.639999,30.040001,29.510000,29.620001,29.620001,15748700
2013-09-17,29.639999,30.000000,29.309999,30.000000,30.000000,10499700
2013-09-18,30.010000,30.459999,29.850000,30.440001,30.440001,15570600
2013-09-19,30.530001,31.049999,30.340000,31.030001,31.030001,12795100
2013-09-20,31.049999,31.100000,30.760000,30.930000,30.930000,14925400
2013-09-23,31.030001,31.030001,30.020000,30.260000,30.260000,15728900
2013-09-24,30.549999,31.660000,30.540001,31.270000,31.270000,27820600
2013-09-25,31.400000,32.029999,31.120001,31.340000,31.340000,19146600
2013-09-26,31.650000,33.000000,31.580000,32.750000,32.750000,39233700
2013-09-27,33.330002,33.849998,32.759998,33.549999,33.549999,31791600
2013-09-30,33.040001,33.750000,32.680000,33.169998,33.169998,30065800
2013-10-01,33.360001,34.439999,33.299999,34.310001,34.310001,28180900
2013-10-02,34.150002,34.700001,33.900002,34.139999,34.139999,21637400
2013-10-03,34.320000,34.360001,33.200001,33.880001,33.880001,23263900
2013-10-04,33.959999,35.060001,33.959999,34.889999,34.889999,23950200
2013-10-07,34.459999,34.689999,34.080002,34.139999,34.139999,15448700
2013-10-08,34.459999,34.500000,32.099998,32.930000,32.930000,42914600
2013-10-09,33.070000,33.330002,31.790001,33.009998,33.009998,33509700
2013-10-10,33.490002,33.910000,33.330002,33.869999,33.869999,23448100
2013-10-11,33.669998,34.369999,33.610001,34.150002,34.150002,17012300
2013-10-14,33.799999,34.099998,33.680000,34.000000,34.000000,17614000
2013-10-15,34.200001,34.320000,33.060001,33.380001,33.380001,42773900
2013-10-16,33.900002,34.110001,32.830002,33.090000,33.090000,44820000
2013-10-17,32.880001,33.009998,32.310001,32.740002,32.740002,25229700
2013-10-18,33.169998,33.750000,33.110001,33.430000,33.430000,24622900
2013-10-21,33.650002,34.349998,33.650002,34.060001,34.060001,17776700
2013-10-22,34.240002,34.599998,33.580002,33.939999,33.939999,17549100
2013-10-23,33.759998,33.840000,33.020000,33.099998,33.099998,15931700
2013-10-24,33.160000,33.310001,32.810001,33.080002,33.080002,15086700
2013-10-25,32.310001,32.950001,32.000000,32.250000,32.250000,22290000
2013-10-28,32.090000,32.700001,31.700001,32.349998,32.349998,18325700
2013-10-29,33.070000,34.000000,32.820000,33.169998,33.169998,29349200
2013-10-30,33.330002,33.480000,32.380001,32.570000,32.570000,14292300
2013-10-31,32.430000,33.119999,32.279999,32.939999,32.939999,15301900
2013-11-01,33.150002,33.349998,33.000000,33.180000,33.180000,15201400
2013-11-04,33.200001,33.660000,33.009998,33.189999,33.189999,15778500
2013-11-05,33.029999,33.080002,32.549999,32.970001,32.970001,13471100
2013-11-06,33.070000,33.299999,32.709999,32.880001,32.880001,10826400
2013-11-07,32.990002,33.049999,32.060001,32.110001,32.110001,16861300
2013-11-08,32.230000,33.119999,32.200001,33.119999,33.119999,15082800
2013-11-11,33.570000,33.990002,33.250000,33.820000,33.820000,15846800
2013-11-12,34.000000,34.520000,33.880001,34.070000,34.070000,18227600
2013-11-13,33.820000,35.119999,33.630001,35.099998,35.099998,21359400
2013-11-14,35.070000,35.889999,34.759998,35.689999,35.689999,21411400
2013-11-15,35.799999,35.939999,35.299999,35.470001,35.470001,15615700
2013-11-18,35.650002,36.189999,34.509998,34.980000,34.980000,19070000
2013-11-19,35.029999,35.169998,34.509998,34.630001,34.630001,14955300
2013-11-20,35.430000,36.220001,35.220001,35.619999,35.619999,32439800
2013-11-21,36.230000,36.660000,36.220001,36.299999,36.299999,26425000
2013-11-22,36.189999,36.630001,35.959999,36.490002,36.490002,13247500
2013-11-25,36.779999,36.849998,35.959999,36.290001,36.290001,15159800
2013-11-26,36.320000,36.750000,36.110001,36.639999,36.639999,10458300
2013-11-27,36.700001,37.119999,36.509998,36.959999,36.959999,10427500
2013-11-29,36.910000,37.349998,36.900002,36.980000,36.980000,6455400
2013-12-02,37.040001,37.150002,36.680000,37.009998,37.009998,11573000
2013-12-03,36.770000,37.070000,36.340000,36.560001,36.560001,14098300
2013-12-04,36.470001,38.150002,36.250000,38.130001,38.130001,26139700
2013-12-05,38.240002,39.310001,38.049999,38.869999,38.869999,27662000
2013-12-06,39.240002,39.279999,38.529999,38.860001,38.860001,22215000
2013-12-09,39.130001,39.200001,38.570000,38.869999,38.869999,14386300
2013-12-10,38.919998,40.250000,38.919998,40.220001,40.220001,25479700
2013-12-11,39.900002,40.160000,38.919998,39.160000,39.160000,20915200
2013-12-12,39.020000,40.000000,39.000000,39.349998,39.349998,16184600
2013-12-13,39.610001,40.200001,39.560001,39.730000,39.730000,13773700
2013-12-16,39.970001,40.270000,39.599998,39.730000,39.730000,11439100
2013-12-17,39.990002,40.000000,39.400002,39.509998,39.509998,9842000
2013-12-18,39.529999,40.040001,38.820000,40.040001,40.040001,16844000
2013-12-19,40.040001,40.380001,39.910000,40.200001,40.200001,10710200
2013-12-20,40.389999,40.599998,40.110001,40.119999,40.119999,24637200
2013-12-23,40.250000,40.799999,40.130001,40.770000,40.770000,7447900
2013-12-24,40.910000,40.950001,40.660000,40.849998,40.849998,5113900
2013-12-26,41.000000,41.049999,40.220001,40.650002,40.650002,7364600
2013-12-27,40.720001,40.750000,40.320000,40.490002,40.490002,6138700
2013-12-30,40.459999,40.580002,39.849998,40.200001,40.200001,8676800
2013-12-31,40.169998,40.500000,40.000000,40.439999,40.439999,8291400
2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200
2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200
2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500
2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000
2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200
2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300
2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700
2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200
2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900
2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500
2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200
2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500
2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400
2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600
2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300
2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000
2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000
2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300
2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500
2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700
2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400
2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200
2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500
2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900
2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000
2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500
2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900
2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000
2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500
2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100
2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800
2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400
2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900
2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900
2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900
2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900
2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900
2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900
2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400
2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100
2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700
2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400
2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800
2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700
2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500
2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200
2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300
2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700
2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700
2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300
2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300
2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700
2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600
2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000
2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200
2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000
2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100
2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800
2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600
2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900
2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200
2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000
2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800
2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800
2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900
2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200
2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100
2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200
2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900
2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700
2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600
2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400
2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100
2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700
2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400
2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200
2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700
2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300
2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600
2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200
2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000
2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500
2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700
2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100
2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100
2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000
2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700
2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700
2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400
2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600
2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100
2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000
2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800
2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100
2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700
2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700
2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500
2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800
2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400
2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000
2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500
2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800
2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000
2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900
2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500
2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100
2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800
2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200
2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000
2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300
2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500
2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100
2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300
2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300
2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900
2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000
2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000
2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800
2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400
2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800
2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400
2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000
2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600
2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100
2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600
2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600
2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900
2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800
2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900
2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900
2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800
2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500
2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500
2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600
2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600
2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900
2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900
2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000
2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600
2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500
2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000
2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800
2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200
2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900
2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700
2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400
2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000
2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200
2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400
2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500
2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600
2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700
2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100
2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700
2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300
2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300
2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900
2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200
2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900
2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300
2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900
2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100
2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400
2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800
2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000
2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600
2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100
2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300
2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900
2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300
2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400
2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200
2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000
2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800
2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000
2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500
2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900
2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700
2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500
2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100
2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100
2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100
2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300
2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100
2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500
2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200
2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300
2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500
2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900
2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400
2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700
2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100
2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300
2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500
2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600
2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500
2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900
2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000
2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500
2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500
2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000
2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400
2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200
2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900
2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400
2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800
2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500
2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300
2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100
2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600
2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800
2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500
2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500
2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500
2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000
2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700
2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300
2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300
2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700
2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200
2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700
2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800
2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300
2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000
2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000
2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000
2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500
2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600
2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500
2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700
2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900
2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600
2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000
2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700
2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100
2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100
2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600
2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100
2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200
2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500
2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500
2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300
2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300
2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900
2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200
2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100
2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000
2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900
2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700
2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500
2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500
2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000


================================================
FILE: datas/yhoo-1996-2015.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
1996-04-12,1.052083,1.791667,1.020833,1.375000,1.375000,408720000
1996-04-15,1.489583,1.500000,1.250000,1.343750,1.343750,79219200
1996-04-16,1.343750,1.343750,1.166667,1.197917,1.197917,48016000
1996-04-17,1.177083,1.177083,1.031250,1.125000,1.125000,42816000
1996-04-18,1.255208,1.255208,1.166667,1.218750,1.218750,27268800
1996-04-19,1.255208,1.281250,1.197917,1.203125,1.203125,12913600
1996-04-22,1.208333,1.208333,1.145833,1.177083,1.177083,8041600
1996-04-23,1.197917,1.208333,1.166667,1.166667,1.166667,4297600
1996-04-24,1.187500,1.213542,1.156250,1.208333,1.208333,7795200
1996-04-25,1.250000,1.343750,1.208333,1.302083,1.302083,19478400
1996-04-26,1.333333,1.343750,1.302083,1.322917,1.322917,7561600
1996-04-29,1.312500,1.333333,1.270833,1.291667,1.291667,5928000
1996-04-30,1.302083,1.312500,1.229167,1.239583,1.239583,5003200
1996-05-01,1.260417,1.322917,1.250000,1.317708,1.317708,4881600
1996-05-02,1.312500,1.385417,1.312500,1.369792,1.369792,9731200
1996-05-03,1.343750,1.354167,1.302083,1.333333,1.333333,6116800
1996-05-06,1.354167,1.354167,1.223958,1.255208,1.255208,8214400
1996-05-07,1.250000,1.281250,1.239583,1.265625,1.265625,5569600
1996-05-08,1.270833,1.281250,1.213542,1.260417,1.260417,6288000
1996-05-09,1.250000,1.281250,1.239583,1.281250,1.281250,4032000
1996-05-10,1.281250,1.322917,1.270833,1.302083,1.302083,5875200
1996-05-13,1.307292,1.312500,1.250000,1.260417,1.260417,2747200
1996-05-14,1.281250,1.291667,1.229167,1.229167,1.229167,4003200
1996-05-15,1.250000,1.281250,1.239583,1.260417,1.260417,2200000
1996-05-16,1.239583,1.270833,1.239583,1.260417,1.260417,3390400
1996-05-17,1.260417,1.270833,1.239583,1.250000,1.250000,2448000
1996-05-20,1.250000,1.265625,1.208333,1.208333,1.208333,4257600
1996-05-21,1.208333,1.213542,1.156250,1.166667,1.166667,4048000
1996-05-22,1.166667,1.166667,1.125000,1.145833,1.145833,2563200
1996-05-23,1.145833,1.229167,1.145833,1.229167,1.229167,2918400
1996-05-24,1.229167,1.250000,1.197917,1.229167,1.229167,2491200
1996-05-28,1.218750,1.234375,1.187500,1.208333,1.208333,2224000
1996-05-29,1.197917,1.197917,1.125000,1.145833,1.145833,3726400
1996-05-30,1.145833,1.208333,1.145833,1.177083,1.177083,3038400
1996-05-31,1.197917,1.197917,1.135417,1.166667,1.166667,1734400
1996-06-03,1.156250,1.166667,1.135417,1.135417,1.135417,1142400
1996-06-04,1.135417,1.166667,1.130208,1.130208,1.130208,2468800
1996-06-05,1.145833,1.145833,1.125000,1.130208,1.130208,1166400
1996-06-06,1.187500,1.197917,1.145833,1.156250,1.156250,3873600
1996-06-07,1.135417,1.135417,1.104167,1.119792,1.119792,3457600
1996-06-10,1.119792,1.119792,1.088542,1.104167,1.104167,1849600
1996-06-11,1.088542,1.104167,1.062500,1.062500,1.062500,4243200
1996-06-12,1.072917,1.114583,1.072917,1.083333,1.083333,2608000
1996-06-13,1.072917,1.093750,1.020833,1.062500,1.062500,5668800
1996-06-14,1.031250,1.062500,1.031250,1.031250,1.031250,2046400
1996-06-17,1.031250,1.041667,0.937500,0.958333,0.958333,3249600
1996-06-18,0.906250,0.927083,0.854167,0.854167,0.854167,5564800
1996-06-19,0.875000,0.895833,0.854167,0.864583,0.864583,4033600
1996-06-20,0.875000,0.906250,0.854167,0.906250,0.906250,2958400
1996-06-21,0.927083,0.947917,0.906250,0.927083,0.927083,2544000
1996-06-24,0.927083,0.927083,0.906250,0.906250,0.906250,633600
1996-06-25,0.906250,0.927083,0.895833,0.906250,0.906250,993600
1996-06-26,0.895833,0.916667,0.864583,0.875000,0.875000,1488000
1996-06-27,0.885417,0.916667,0.760417,0.760417,0.760417,7392000
1996-06-28,0.812500,0.875000,0.791667,0.875000,0.875000,4067200
1996-07-01,0.854167,0.927083,0.854167,0.906250,0.906250,2286400
1996-07-02,0.927083,0.927083,0.885417,0.885417,0.885417,984000
1996-07-03,0.906250,0.906250,0.854167,0.875000,0.875000,1384000
1996-07-05,0.833333,0.859375,0.822917,0.833333,0.833333,748800
1996-07-08,0.833333,0.833333,0.802083,0.833333,0.833333,1211200
1996-07-09,0.812500,0.833333,0.770833,0.770833,0.770833,2112000
1996-07-10,0.781250,0.781250,0.666667,0.682292,0.682292,5899200
1996-07-11,0.666667,0.718750,0.645833,0.718750,0.718750,3510400
1996-07-12,0.708333,0.750000,0.708333,0.729167,0.729167,1696000
1996-07-15,0.750000,0.770833,0.729167,0.744792,0.744792,1900800
1996-07-16,0.739583,0.770833,0.723958,0.750000,0.750000,3726400
1996-07-17,0.755208,0.802083,0.739583,0.802083,0.802083,1849600
1996-07-18,0.812500,0.828125,0.781250,0.802083,0.802083,1608000
1996-07-19,0.828125,0.828125,0.781250,0.786458,0.786458,1235200
1996-07-22,0.791667,0.791667,0.729167,0.750000,0.750000,1132800
1996-07-23,0.729167,0.750000,0.677083,0.677083,0.677083,1881600
1996-07-24,0.677083,0.682292,0.645833,0.656250,0.656250,888000
1996-07-25,0.656250,0.697917,0.656250,0.677083,0.677083,1283200
1996-07-26,0.677083,0.692708,0.656250,0.692708,0.692708,600000
1996-07-29,0.677083,0.692708,0.671875,0.671875,0.671875,371200
1996-07-30,0.677083,0.729167,0.677083,0.708333,0.708333,686400
1996-07-31,0.708333,0.750000,0.708333,0.750000,0.750000,931200
1996-08-01,0.750000,0.791667,0.729167,0.791667,0.791667,1388800
1996-08-02,0.770833,0.802083,0.770833,0.786458,0.786458,1168000
1996-08-05,0.791667,0.807292,0.786458,0.786458,0.786458,510400
1996-08-06,0.802083,0.802083,0.755208,0.755208,0.755208,817600
1996-08-07,0.744792,0.760417,0.739583,0.750000,0.750000,971200
1996-08-08,0.750000,0.770833,0.739583,0.770833,0.770833,1748800
1996-08-09,0.723958,0.739583,0.687500,0.739583,0.739583,1833600
1996-08-12,0.729167,0.729167,0.708333,0.718750,0.718750,864000
1996-08-13,0.708333,0.854167,0.708333,0.828125,0.828125,10464000
1996-08-14,0.838542,0.859375,0.833333,0.848958,0.848958,4852800
1996-08-15,0.848958,0.848958,0.817708,0.828125,0.828125,1177600
1996-08-16,0.812500,0.828125,0.796875,0.807292,0.807292,864000
1996-08-19,0.807292,0.817708,0.807292,0.817708,0.817708,428800
1996-08-20,0.817708,0.817708,0.796875,0.796875,0.796875,494400
1996-08-21,0.796875,0.802083,0.760417,0.776042,0.776042,688000
1996-08-22,0.776042,0.833333,0.760417,0.828125,0.828125,1921600
1996-08-23,0.822917,0.843750,0.822917,0.822917,0.822917,1024000
1996-08-26,0.838542,0.838542,0.822917,0.822917,0.822917,388800
1996-08-27,0.822917,0.848958,0.822917,0.838542,0.838542,1897600
1996-08-28,0.838542,0.921875,0.838542,0.880208,0.880208,5193600
1996-08-29,0.869792,0.880208,0.822917,0.822917,0.822917,1987200
1996-08-30,0.828125,0.838542,0.807292,0.817708,0.817708,913600
1996-09-03,0.791667,0.807292,0.781250,0.791667,0.791667,1012800
1996-09-04,0.791667,0.802083,0.776042,0.786458,0.786458,528000
1996-09-05,0.765625,0.776042,0.765625,0.765625,0.765625,148800
1996-09-06,0.760417,0.776042,0.755208,0.765625,0.765625,753600
1996-09-09,0.755208,0.786458,0.755208,0.781250,0.781250,835200
1996-09-10,0.781250,0.796875,0.770833,0.770833,0.770833,907200
1996-09-11,0.781250,0.791667,0.770833,0.786458,0.786458,1267200
1996-09-12,0.781250,0.812500,0.781250,0.812500,0.812500,1374400
1996-09-13,0.828125,0.869792,0.822917,0.859375,0.859375,3193600
1996-09-16,0.859375,0.875000,0.854167,0.859375,0.859375,1382400
1996-09-17,0.880208,0.901042,0.864583,0.901042,0.901042,2665600
1996-09-18,0.895833,0.901042,0.848958,0.864583,0.864583,1977600
1996-09-19,0.864583,0.895833,0.854167,0.895833,0.895833,1761600
1996-09-20,0.895833,1.000000,0.890625,1.000000,1.000000,7460800
1996-09-23,0.994792,1.026042,0.989583,0.992188,0.992188,5332800
1996-09-24,0.989583,0.994792,0.937500,0.947917,0.947917,3774400
1996-09-25,0.937500,0.942708,0.901042,0.911458,0.911458,2040000
1996-09-26,0.901042,0.921875,0.901042,0.911458,0.911458,1067200
1996-09-27,0.911458,0.921875,0.895833,0.906250,0.906250,688000
1996-09-30,0.906250,0.906250,0.885417,0.885417,0.885417,849600
1996-10-01,0.875000,0.885417,0.796875,0.817708,0.817708,4105600
1996-10-02,0.848958,0.942708,0.848958,0.906250,0.906250,5827200
1996-10-03,0.921875,0.979167,0.916667,0.942708,0.942708,4324800
1996-10-04,0.963542,0.968750,0.916667,0.916667,0.916667,2046400
1996-10-07,0.916667,0.942708,0.916667,0.927083,0.927083,715200
1996-10-08,0.932292,0.942708,0.869792,0.869792,0.869792,2299200
1996-10-09,0.869792,0.937500,0.869792,0.937500,0.937500,2366400
1996-10-10,0.947917,0.953125,0.848958,0.854167,0.854167,8673600
1996-10-11,0.848958,0.869792,0.848958,0.859375,0.859375,2382400
1996-10-14,0.869792,0.901042,0.859375,0.901042,0.901042,6452800
1996-10-15,0.895833,0.906250,0.875000,0.895833,0.895833,3884800
1996-10-16,0.890625,0.901042,0.875000,0.880208,0.880208,2702400
1996-10-17,0.880208,0.921875,0.880208,0.916667,0.916667,3504000
1996-10-18,0.927083,0.927083,0.906250,0.916667,0.916667,2582400
1996-10-21,0.906250,0.927083,0.906250,0.911458,0.911458,2232000
1996-10-22,0.911458,0.921875,0.885417,0.885417,0.885417,1868800
1996-10-23,0.885417,0.895833,0.875000,0.880208,0.880208,1492800
1996-10-24,0.875000,0.880208,0.869792,0.869792,0.869792,1244800
1996-10-25,0.869792,0.875000,0.854167,0.854167,0.854167,1984000
1996-10-28,0.854167,0.864583,0.854167,0.859375,0.859375,558400
1996-10-29,0.859375,0.864583,0.854167,0.854167,0.854167,625600
1996-10-30,0.854167,0.859375,0.838542,0.838542,0.838542,969600
1996-10-31,0.833333,0.843750,0.812500,0.822917,0.822917,1646400
1996-11-01,0.812500,0.822917,0.812500,0.812500,0.812500,340800
1996-11-04,0.812500,0.822917,0.791667,0.791667,0.791667,995200
1996-11-05,0.791667,0.802083,0.734375,0.760417,0.760417,2982400
1996-11-06,0.750000,0.770833,0.744792,0.750000,0.750000,1656000
1996-11-07,0.744792,0.765625,0.744792,0.755208,0.755208,932800
1996-11-08,0.755208,0.812500,0.755208,0.812500,0.812500,2179200
1996-11-11,0.812500,0.843750,0.812500,0.838542,0.838542,2348800
1996-11-12,0.828125,0.838542,0.817708,0.822917,0.822917,712000
1996-11-13,0.822917,0.822917,0.776042,0.791667,0.791667,1340800
1996-11-14,0.791667,0.791667,0.755208,0.757813,0.757813,1681600
1996-11-15,0.765625,0.776042,0.760417,0.770833,0.770833,1192000
1996-11-18,0.760417,0.770833,0.744792,0.755208,0.755208,1729600
1996-11-19,0.755208,0.755208,0.739583,0.744792,0.744792,2137600
1996-11-20,0.744792,0.755208,0.734375,0.739583,0.739583,1022400
1996-11-21,0.734375,0.739583,0.718750,0.723958,0.723958,1588800
1996-11-22,0.729167,0.734375,0.718750,0.734375,0.734375,1124800
1996-11-25,0.734375,0.802083,0.723958,0.796875,0.796875,6734400
1996-11-26,0.802083,0.822917,0.786458,0.786458,0.786458,3419200
1996-11-27,0.791667,0.791667,0.770833,0.773438,0.773438,1057600
1996-11-29,0.770833,0.796875,0.770833,0.796875,0.796875,803200
1996-12-02,0.781250,0.796875,0.781250,0.791667,0.791667,1081600
1996-12-03,0.781250,0.859375,0.781250,0.833333,0.833333,9120000
1996-12-04,0.828125,0.848958,0.822917,0.822917,0.822917,1633600
1996-12-05,0.822917,0.921875,0.822917,0.888021,0.888021,8190400
1996-12-06,0.843750,0.906250,0.828125,0.854167,0.854167,5596800
1996-12-09,0.848958,0.890625,0.843750,0.885417,0.885417,3827200
1996-12-10,0.885417,0.890625,0.843750,0.843750,0.843750,2521600
1996-12-11,0.828125,0.828125,0.796875,0.807292,0.807292,2592000
1996-12-12,0.812500,0.838542,0.791667,0.833333,0.833333,2851200
1996-12-13,0.812500,0.843750,0.812500,0.828125,0.828125,1353600
1996-12-16,0.833333,0.843750,0.776042,0.781250,0.781250,1886400
1996-12-17,0.776042,0.781250,0.744792,0.755208,0.755208,1732800
1996-12-18,0.750000,0.807292,0.744792,0.765625,0.765625,5496000
1996-12-19,0.770833,0.776042,0.744792,0.750000,0.750000,2049600
1996-12-20,0.755208,0.755208,0.708333,0.708333,0.708333,4926400
1996-12-23,0.729167,0.770833,0.723958,0.747396,0.747396,3619200
1996-12-24,0.755208,0.755208,0.739583,0.755208,0.755208,715200
1996-12-26,0.750000,0.760417,0.744792,0.744792,0.744792,1513600
1996-12-27,0.760417,0.781250,0.744792,0.760417,0.760417,1806400
1996-12-30,0.760417,0.760417,0.739583,0.750000,0.750000,1396800
1996-12-31,0.729167,0.734375,0.697917,0.708333,0.708333,3923200
1997-01-02,0.708333,0.729167,0.697917,0.729167,0.729167,2579200
1997-01-03,0.734375,0.781250,0.729817,0.765625,0.765625,2180800
1997-01-06,0.796875,0.828125,0.791667,0.828125,0.828125,6640000
1997-01-07,0.828125,0.854167,0.809896,0.838542,0.838542,5008000
1997-01-08,0.841146,0.848958,0.781250,0.786458,0.786458,2924800
1997-01-09,0.786458,0.822917,0.786458,0.807292,0.807292,4907200
1997-01-10,0.791667,0.802083,0.791667,0.802083,0.802083,2577600
1997-01-13,0.828125,0.921875,0.822917,0.906250,0.906250,18164800
1997-01-14,0.911458,0.911458,0.869792,0.869792,0.869792,5376000
1997-01-15,0.958333,1.083333,0.953125,1.057292,1.057292,50636800
1997-01-16,1.057292,1.125000,1.031250,1.088542,1.088542,20267200
1997-01-17,1.083333,1.119792,1.036458,1.109375,1.109375,24388800
1997-01-20,1.104167,1.302083,1.104167,1.229167,1.229167,36244800
1997-01-21,1.203125,1.343750,1.192708,1.328125,1.328125,30428800
1997-01-22,1.317708,1.385417,1.291667,1.328125,1.328125,29809600
1997-01-23,1.338542,1.468750,1.338542,1.468750,1.468750,28028800
1997-01-24,1.442708,1.458333,1.333333,1.380208,1.380208,28099200
1997-01-27,1.380208,1.557292,1.380208,1.518229,1.518229,41558400
1997-01-28,1.526042,1.526042,1.317708,1.359375,1.359375,27313600
1997-01-29,1.359375,1.406250,1.328125,1.401042,1.401042,17718400
1997-01-30,1.375000,1.473958,1.354167,1.421875,1.421875,21408000
1997-01-31,1.437500,1.463542,1.406250,1.411458,1.411458,6904000
1997-02-03,1.411458,1.458333,1.395833,1.453125,1.453125,16043200
1997-02-04,1.442708,1.510417,1.416667,1.442708,1.442708,13686400
1997-02-05,1.432292,1.458333,1.380208,1.411458,1.411458,7427200
1997-02-06,1.395833,1.421875,1.328125,1.343750,1.343750,11481600
1997-02-07,1.322917,1.322917,1.239583,1.255208,1.255208,18787200
1997-02-10,1.255208,1.265625,1.197917,1.213542,1.213542,9270400
1997-02-11,1.218750,1.307292,1.218750,1.307292,1.307292,12691200
1997-02-12,1.338542,1.510417,1.312500,1.484375,1.484375,28483200
1997-02-13,1.479167,1.505208,1.437500,1.494792,1.494792,17510400
1997-02-14,1.479167,1.489583,1.390625,1.432292,1.432292,10555200
1997-02-18,1.427083,1.437500,1.317708,1.421875,1.421875,10705600
1997-02-19,1.416667,1.416667,1.343750,1.375000,1.375000,9553600
1997-02-20,1.364583,1.375000,1.302083,1.328125,1.328125,7259200
1997-02-21,1.333333,1.338542,1.281250,1.296875,1.296875,6304000
1997-02-24,1.302083,1.375000,1.265625,1.265625,1.265625,9985600
1997-02-25,1.302083,1.416667,1.291667,1.348958,1.348958,13734400
1997-02-26,1.333333,1.348958,1.281250,1.302083,1.302083,12100800
1997-02-27,1.302083,1.317708,1.270833,1.270833,1.270833,4944000
1997-02-28,1.276042,1.286458,1.234375,1.260417,1.260417,8812800
1997-03-03,1.244792,1.328125,1.239583,1.250000,1.250000,10776000
1997-03-04,1.255208,1.255208,1.192708,1.195313,1.195313,7508800
1997-03-05,1.192708,1.197917,1.109375,1.125000,1.125000,12091200
1997-03-06,1.114583,1.135417,1.062500,1.093750,1.093750,12792000
1997-03-07,1.093750,1.140625,1.088542,1.135417,1.135417,6217600
1997-03-10,1.135417,1.135417,1.104167,1.109375,1.109375,3513600
1997-03-11,1.114583,1.140625,1.083333,1.083333,1.083333,7019200
1997-03-12,1.083333,1.114583,1.041667,1.067708,1.067708,7958400
1997-03-13,1.067708,1.067708,0.947917,0.950521,0.950521,13540800
1997-03-14,0.963542,1.057292,0.932292,1.052083,1.052083,11526400
1997-03-17,1.062500,1.098958,0.937500,0.963542,0.963542,24931200
1997-03-18,0.968750,1.005208,0.916667,0.942708,0.942708,11500800
1997-03-19,0.947917,1.057292,0.942708,1.031250,1.031250,21164800
1997-03-20,1.130208,1.229167,1.125000,1.208333,1.208333,29731200
1997-03-21,1.223958,1.276042,1.104167,1.197917,1.197917,27048000
1997-03-24,1.197917,1.250000,1.135417,1.197917,1.197917,14780800
1997-03-25,1.223958,1.255208,1.125000,1.169271,1.169271,10316800
1997-03-26,1.171875,1.250000,1.151042,1.234375,1.234375,10580800
1997-03-27,1.250000,1.250000,1.177083,1.190104,1.190104,7811200
1997-03-31,1.203125,1.203125,1.125000,1.171875,1.171875,5640000
1997-04-01,1.161458,1.229167,1.156250,1.229167,1.229167,6278400
1997-04-02,1.223958,1.250000,1.187500,1.247396,1.247396,7403200
1997-04-03,1.250000,1.281250,1.169271,1.218750,1.218750,9009600
1997-04-04,1.213542,1.348958,1.213542,1.317708,1.317708,17539200
1997-04-07,1.364583,1.427083,1.322917,1.401042,1.401042,23224000
1997-04-08,1.401042,1.406250,1.333333,1.385417,1.385417,10574400
1997-04-09,1.442708,1.500000,1.432292,1.434896,1.434896,25516800
1997-04-10,1.453125,1.458333,1.307292,1.361979,1.361979,34768000
1997-04-11,1.312500,1.437500,1.286458,1.429688,1.429688,21049600
1997-04-14,1.411458,1.432292,1.348958,1.369792,1.369792,10651200
1997-04-15,1.375000,1.421875,1.291667,1.304688,1.304688,14208000
1997-04-16,1.291667,1.348958,1.270833,1.304688,1.304688,16086400
1997-04-17,1.312500,1.401042,1.302083,1.351563,1.351563,10315200
1997-04-18,1.380208,1.390625,1.281250,1.291667,1.291667,10238400
1997-04-21,1.270833,1.291667,1.114583,1.177083,1.177083,12880000
1997-04-22,1.170571,1.171875,1.031250,1.143229,1.143229,27371200
1997-04-23,1.156250,1.307292,1.151042,1.302083,1.302083,13531200
1997-04-24,1.302083,1.307292,1.239583,1.270833,1.270833,17889600
1997-04-25,1.276042,1.276042,1.260417,1.260417,1.260417,6452800
1997-04-28,1.260417,1.369792,1.250000,1.307292,1.307292,12057600
1997-04-29,1.317708,1.333333,1.281250,1.322917,1.322917,20836800
1997-04-30,1.328125,1.442708,1.307292,1.421875,1.421875,23041600
1997-05-01,1.437500,1.437500,1.359375,1.416667,1.416667,9956800
1997-05-02,1.406250,1.479167,1.406250,1.458333,1.458333,13300800
1997-05-05,1.479167,1.541667,1.458333,1.500000,1.500000,16374400
1997-05-06,1.473958,1.479167,1.333333,1.372396,1.372396,19278400
1997-05-07,1.359375,1.447917,1.354167,1.395833,1.395833,16603200
1997-05-08,1.411458,1.479167,1.406250,1.421875,1.421875,7969600
1997-05-09,1.432292,1.453125,1.403646,1.406250,1.406250,9508800
1997-05-12,1.416667,1.416667,1.333333,1.364583,1.364583,9524800
1997-05-13,1.364583,1.364583,1.244792,1.265625,1.265625,25048000
1997-05-14,1.270833,1.322917,1.250000,1.260417,1.260417,14406400
1997-05-15,1.260417,1.296875,1.255208,1.296875,1.296875,11044800
1997-05-16,1.276042,1.348958,1.265625,1.328125,1.328125,12323200
1997-05-19,1.322917,1.346354,1.307292,1.343750,1.343750,6510400
1997-05-20,1.338542,1.354167,1.322917,1.351563,1.351563,6846400
1997-05-21,1.348958,1.421875,1.338542,1.380208,1.380208,14593600
1997-05-22,1.385417,1.385417,1.286458,1.304688,1.304688,5865600
1997-05-23,1.302083,1.333333,1.296875,1.309896,1.309896,2622400
1997-05-27,1.307292,1.348958,1.291667,1.320313,1.320313,2836800
1997-05-28,1.317708,1.390625,1.302083,1.333333,1.333333,5318400
1997-05-29,1.328125,1.354167,1.302083,1.328125,1.328125,5289600
1997-05-30,1.312500,1.395833,1.286458,1.343750,1.343750,9692800
1997-06-02,1.364583,1.395833,1.354167,1.380208,1.380208,3259200
1997-06-03,1.380208,1.385417,1.330729,1.354167,1.354167,2300800
1997-06-04,1.364583,1.375000,1.296875,1.312500,1.312500,2668800
1997-06-05,1.338542,1.359375,1.333333,1.351563,1.351563,2003200
1997-06-06,1.333333,1.375000,1.312500,1.333333,1.333333,6145600
1997-06-09,1.333333,1.416667,1.333333,1.356771,1.356771,6096000
1997-06-10,1.354167,1.380208,1.333333,1.348958,1.348958,5601600
1997-06-11,1.348958,1.354167,1.286458,1.291667,1.291667,17387200
1997-06-12,1.302083,1.338542,1.294271,1.333333,1.333333,5771200
1997-06-13,1.333333,1.375000,1.333333,1.343750,1.343750,3307200
1997-06-16,1.354167,1.468750,1.348958,1.445313,1.445313,15921600
1997-06-17,1.447917,1.463542,1.411458,1.458333,1.458333,5377600
1997-06-18,1.447917,1.473958,1.406250,1.421875,1.421875,8027200
1997-06-19,1.437500,1.468750,1.406250,1.447917,1.447917,5457600
1997-06-20,1.458333,1.640625,1.447917,1.635417,1.635417,22753600
1997-06-23,1.588542,1.609375,1.494792,1.541667,1.541667,17841600
1997-06-24,1.552083,1.578125,1.510417,1.549479,1.549479,6438400
1997-06-25,1.565104,1.604167,1.541667,1.552083,1.552083,6720000
1997-06-26,1.526042,1.531250,1.489583,1.510417,1.510417,5118400
1997-06-27,1.505208,1.536458,1.427083,1.437500,1.437500,8419200
1997-06-30,1.432292,1.479167,1.351563,1.468750,1.468750,14171200
1997-07-01,1.458333,1.468750,1.406250,1.419271,1.419271,4000000
1997-07-02,1.421875,1.437500,1.395833,1.406250,1.406250,5891200
1997-07-03,1.432292,1.437500,1.395833,1.395833,1.395833,4416000
1997-07-07,1.416667,1.572917,1.411458,1.572917,1.572917,14356800
1997-07-08,1.572917,1.666667,1.567708,1.656250,1.656250,17337600
1997-07-09,1.697917,1.880208,1.697917,1.833333,1.833333,37545600
1997-07-10,1.890625,1.921875,1.739583,1.791667,1.791667,44035200
1997-07-11,1.791667,1.880208,1.760417,1.833333,1.833333,15331200
1997-07-14,1.833333,2.020833,1.828125,2.020833,2.020833,24980800
1997-07-15,2.010417,2.114583,1.989583,2.104167,2.104167,33832000
1997-07-16,2.135417,2.135417,2.041667,2.046875,2.046875,11449600
1997-07-17,2.046875,2.046875,1.937500,1.953125,1.953125,12688000
1997-07-18,1.932292,2.015625,1.869792,1.953125,1.953125,12059200
1997-07-21,1.979167,2.083333,1.958333,2.067708,2.067708,11200000
1997-07-22,2.072917,2.130208,2.010417,2.101563,2.101563,11822400
1997-07-23,2.114583,2.114583,2.046875,2.046875,2.046875,7364800
1997-07-24,2.041667,2.062500,1.947917,1.979167,1.979167,15115200
1997-07-25,1.989583,2.005208,1.924479,1.994792,1.994792,9232000
1997-07-28,2.010417,2.041667,1.979167,1.981771,1.981771,3806400
1997-07-29,1.984375,2.010417,1.958333,2.010417,2.010417,4523200
1997-07-30,2.072917,2.291667,2.067708,2.276042,2.276042,47521600
1997-07-31,2.291667,2.354167,2.182292,2.354167,2.354167,33768000
1997-08-01,2.333333,2.333333,2.223958,2.302083,2.302083,19910400
1997-08-04,2.281250,2.281250,2.213542,2.223958,2.223958,12841600
1997-08-05,2.239583,2.312500,2.218750,2.265625,2.265625,11304000
1997-08-06,2.276042,2.333333,2.250000,2.291667,2.291667,7033600
1997-08-07,2.312500,2.338542,2.239583,2.242188,2.242188,8430400
1997-08-08,2.229167,2.276042,2.135417,2.250000,2.250000,13401600
1997-08-11,2.250000,2.250000,2.156250,2.218750,2.218750,18528000
1997-08-12,2.229167,2.260417,2.109375,2.122396,2.122396,10715200
1997-08-13,2.125000,2.187500,2.067708,2.098958,2.098958,18326400
1997-08-14,2.098958,2.125000,2.057292,2.065104,2.065104,5505600
1997-08-15,2.062500,2.072917,2.020833,2.020833,2.020833,9004800
1997-08-18,2.026042,2.187500,2.010417,2.182292,2.182292,18100800
1997-08-19,2.192708,2.333333,2.187500,2.302083,2.302083,20222400
1997-08-20,2.312500,2.406250,2.260417,2.390625,2.390625,21724800
1997-08-21,2.395833,2.406250,2.302083,2.322917,2.322917,10432000
1997-08-22,2.229167,2.338542,2.213542,2.320313,2.320313,12489600
1997-08-25,2.333333,2.385417,2.328125,2.364583,2.364583,10302400
1997-08-26,2.354167,2.364583,2.312500,2.328125,2.328125,6016000
1997-08-27,2.328125,2.348958,2.281250,2.325521,2.325521,11371200
1997-08-28,2.307292,2.403646,2.229167,2.338542,2.338542,24696000
1997-08-29,2.354167,2.494792,2.343750,2.479167,2.479167,13696000
1997-09-02,2.515625,2.546875,2.445313,2.492188,2.492188,10619200
1997-09-03,2.523438,2.617188,2.492188,2.539063,2.539063,11555200
1997-09-04,2.578125,2.648438,2.539063,2.609375,2.609375,9294400
1997-09-05,2.640625,2.859375,2.625000,2.835938,2.835938,16643200
1997-09-08,2.921875,3.070313,2.921875,2.949219,2.949219,21164800
1997-09-09,3.007813,3.148438,3.000000,3.148438,3.148438,17556800
1997-09-10,3.230469,3.375000,3.148438,3.332031,3.332031,23131200
1997-09-11,3.312500,3.546875,3.281250,3.460938,3.460938,33902400
1997-09-12,3.539063,3.625000,3.296875,3.371094,3.371094,22862400
1997-09-15,3.312500,3.359375,3.000000,3.011719,3.011719,31624000
1997-09-16,3.015625,3.195313,2.828125,3.195313,3.195313,37563200
1997-09-17,3.218750,3.242188,2.960938,3.054688,3.054688,20712000
1997-09-18,3.070313,3.140625,3.023438,3.109375,3.109375,12360000
1997-09-19,3.093750,3.289063,3.078125,3.210938,3.210938,24308800
1997-09-22,3.257813,3.460938,3.250000,3.351563,3.351563,17758400
1997-09-23,3.382813,3.437500,3.132813,3.167969,3.167969,14896000
1997-09-24,3.195313,3.320313,3.179688,3.218750,3.218750,12670400
1997-09-25,3.234375,3.250000,3.046875,3.128906,3.128906,14795200
1997-09-26,3.156250,3.234375,3.125000,3.140625,3.140625,10222400
1997-09-29,3.156250,3.187500,3.085938,3.167969,3.167969,6649600
1997-09-30,3.164063,3.164063,3.109375,3.132813,3.132813,3744000
1997-10-01,3.140625,3.226563,3.132813,3.195313,3.195313,14475200
1997-10-02,3.195313,3.437500,3.132813,3.437500,3.437500,22676800
1997-10-03,3.437500,3.515625,3.359375,3.453125,3.453125,19518400
1997-10-06,3.453125,3.664063,3.453125,3.640625,3.640625,15339200
1997-10-07,3.609375,3.632813,3.445313,3.484375,3.484375,15825600
1997-10-08,3.578125,3.625000,3.500000,3.546875,3.546875,32020800
1997-10-09,3.468750,3.523438,3.421875,3.468750,3.468750,33960000
1997-10-10,3.375000,3.468750,3.296875,3.300781,3.300781,18844800
1997-10-13,3.320313,3.328125,3.140625,3.195313,3.195313,18051200
1997-10-14,3.226563,3.289063,3.093750,3.187500,3.187500,14172800
1997-10-15,3.171875,3.234375,3.140625,3.218750,3.218750,11564800
1997-10-16,3.234375,3.320313,3.015625,3.039063,3.039063,21169600
1997-10-17,3.015625,3.062500,2.843750,3.031250,3.031250,24849600
1997-10-20,3.046875,3.078125,2.929688,3.054688,3.054688,20217600
1997-10-21,3.109375,3.210938,3.101563,3.195313,3.195313,13385600
1997-10-22,3.273438,3.335938,3.164063,3.308594,3.308594,14001600
1997-10-23,3.171875,3.234375,3.078125,3.160156,3.160156,15209600
1997-10-24,3.234375,3.234375,2.906250,2.972656,2.972656,15764800
1997-10-27,2.937500,2.937500,2.375000,2.375000,2.375000,35051200
1997-10-28,2.132813,2.921875,2.132813,2.695313,2.695313,51822400
1997-10-29,2.781250,2.890625,2.523438,2.578125,2.578125,30163200
1997-10-30,2.460938,2.703125,2.453125,2.605469,2.605469,17641600
1997-10-31,2.695313,2.765625,2.656250,2.740231,2.740231,14144000
1997-11-03,2.812500,2.906250,2.796875,2.880856,2.880856,13121600
1997-11-04,2.851563,3.210938,2.781250,3.187500,3.187500,25473600
1997-11-05,3.179688,3.406250,3.179688,3.351563,3.351563,39339200
1997-11-06,3.312500,3.484375,3.265625,3.296875,3.296875,29057600
1997-11-07,3.062500,3.234375,3.046875,3.093750,3.093750,23028800
1997-11-10,3.101563,3.187500,3.000000,3.039063,3.039063,13699200
1997-11-11,3.070313,3.093750,2.843750,2.875000,2.875000,20819200
1997-11-12,2.796875,2.960938,2.679688,2.718750,2.718750,25264000
1997-11-13,2.820313,2.906250,2.625000,2.855469,2.855469,29244800
1997-11-14,2.875000,3.070313,2.875000,2.992188,2.992188,24700800
1997-11-17,3.117188,3.296875,3.101563,3.250000,3.250000,25088000
1997-11-18,3.226563,3.390625,3.210938,3.234375,3.234375,22524800
1997-11-19,3.179688,3.226563,3.097656,3.164063,3.164063,13123200
1997-11-20,3.203125,3.382813,3.179688,3.351563,3.351563,24377600
1997-11-21,3.382813,3.406250,3.226563,3.304688,3.304688,12600000
1997-11-24,3.281250,3.281250,3.007813,3.031250,3.031250,20104000
1997-11-25,3.140625,3.234375,3.000000,3.175781,3.175781,29675200
1997-11-26,3.234375,3.265625,3.140625,3.179688,3.179688,8777600
1997-11-28,3.195313,3.218750,3.171875,3.195313,3.195313,2153600
1997-12-01,3.218750,3.398438,3.203125,3.375000,3.375000,16558400
1997-12-02,3.359375,3.429688,3.250000,3.312500,3.312500,15512000
1997-12-03,3.281250,3.390625,3.242188,3.367188,3.367188,9440000
1997-12-04,3.398438,3.437500,3.335938,3.363281,3.363281,10012800
1997-12-05,3.347656,3.523438,3.289063,3.515625,3.515625,25928000
1997-12-08,3.531250,3.734375,3.476563,3.726563,3.726563,30825600
1997-12-09,3.679688,3.812500,3.625000,3.707031,3.707031,27473600
1997-12-10,3.656250,3.710938,3.562500,3.679688,3.679688,14763200
1997-12-11,3.562500,3.679688,3.523438,3.664063,3.664063,17451200
1997-12-12,3.671875,3.750000,3.562500,3.718750,3.718750,14584000
1997-12-15,3.750000,3.765625,3.531250,3.625000,3.625000,14430400
1997-12-16,3.617188,3.781250,3.570313,3.769531,3.769531,13553600
1997-12-17,3.781250,3.843750,3.718750,3.722656,3.722656,10875200
1997-12-18,3.718750,3.718750,3.578125,3.632813,3.632813,12747200
1997-12-19,3.593750,3.937500,3.515625,3.867188,3.867188,29721600
1997-12-22,3.867188,4.085938,3.867188,4.027344,4.027344,23824000
1997-12-23,4.000000,4.242188,3.976563,4.070313,4.070313,22833600
1997-12-24,4.074219,4.125000,4.031250,4.031250,4.031250,6185600
1997-12-26,4.019531,4.148438,4.015625,4.132813,4.132813,9587200
1997-12-29,4.187500,4.312500,4.148438,4.308594,4.308594,15100800
1997-12-30,4.304688,4.437500,4.250000,4.437500,4.437500,16508800
1997-12-31,4.414063,4.429688,4.320313,4.328125,4.328125,15467200
1998-01-02,4.328125,4.343750,4.062500,4.140625,4.140625,17828800
1998-01-05,4.023438,4.085938,3.914063,3.933594,3.933594,26601600
1998-01-06,3.859375,4.070313,3.828125,4.000000,4.000000,28688000
1998-01-07,3.921875,4.054688,3.921875,3.988281,3.988281,15758400
1998-01-08,4.000000,4.123044,3.921875,4.015625,4.015625,21748800
1998-01-09,4.031250,4.078125,3.796875,3.867188,3.867188,30296000
1998-01-12,3.750000,4.007813,3.687500,3.906250,3.906250,38262400
1998-01-13,4.046875,4.265625,4.035156,4.111325,4.111325,52755200
1998-01-14,4.171875,4.242188,4.125000,4.187500,4.187500,26678400
1998-01-15,4.078125,4.171875,4.000000,4.083981,4.083981,27916800
1998-01-16,4.125000,4.218750,4.062500,4.078125,4.078125,18288000
1998-01-20,4.078125,4.078125,3.937500,4.031250,4.031250,35096000
1998-01-21,4.007813,4.031250,3.929688,3.992188,3.992188,18336000
1998-01-22,3.960938,4.000000,3.890625,3.894531,3.894531,11137600
1998-01-23,3.921875,3.933594,3.820313,3.859375,3.859375,10700800
1998-01-26,3.898438,3.906250,3.718750,3.742188,3.742188,10534400
1998-01-27,3.765625,3.828125,3.750000,3.753906,3.753906,15113600
1998-01-28,3.789063,3.789063,3.613281,3.628906,3.628906,29641600
1998-01-29,3.625000,3.890625,3.601563,3.867188,3.867188,33180800
1998-01-30,3.937500,4.031250,3.828125,3.960938,3.960938,32681600
1998-02-02,4.015625,4.132813,3.992188,4.125000,4.125000,24558400
1998-02-03,4.109375,4.132813,3.992188,4.052731,4.052731,33953600
1998-02-04,4.039063,4.039063,3.949219,3.980469,3.980469,13721600
1998-02-05,4.023438,4.054688,3.851563,3.890625,3.890625,18446400
1998-02-06,3.882813,4.039063,3.851563,4.015625,4.015625,14387200
1998-02-09,4.046875,4.078125,3.937500,3.993162,3.993162,16547200
1998-02-10,4.000000,4.093750,3.937500,4.039063,4.039063,20785600
1998-02-11,4.039063,4.109375,4.000000,4.068356,4.068356,11950400
1998-02-12,4.015625,4.078125,3.984375,4.070313,4.070313,9059200
1998-02-13,4.046875,4.171875,4.023438,4.046875,4.046875,13256000
1998-02-17,4.031250,4.062500,3.968750,4.015625,4.015625,11427200
1998-02-18,4.015625,4.046875,3.914063,3.968750,3.968750,11323200
1998-02-19,3.968750,4.101563,3.953125,4.001950,4.001950,13486400
1998-02-20,4.031250,4.046875,3.851563,4.007813,4.007813,12539200
1998-02-23,4.023438,4.039063,3.933594,3.955075,3.955075,11187200
1998-02-24,3.992188,3.992188,3.820313,3.845700,3.845700,14260800
1998-02-25,3.867188,3.890625,3.804688,3.857419,3.857419,20102400
1998-02-26,3.875000,4.281250,3.859375,4.257813,4.257813,39760000
1998-02-27,4.265625,4.640625,4.234375,4.574219,4.574219,99968000
1998-03-02,4.671875,4.683594,4.484375,4.574219,4.574219,32520000
1998-03-03,4.500000,4.625000,4.421875,4.558594,4.558594,22182400
1998-03-04,4.484375,4.531250,4.421875,4.476563,4.476563,22900800
1998-03-05,4.343750,4.726563,4.296875,4.707031,4.707031,53112000
1998-03-06,4.796875,5.109375,4.734375,5.035156,5.035156,52110400
1998-03-09,5.109375,5.531250,5.101563,5.488281,5.488281,66227200
1998-03-10,5.656250,5.773438,5.269531,5.468750,5.468750,105219200
1998-03-11,5.335938,5.421875,5.187500,5.265625,5.265625,66195200
1998-03-12,5.242188,5.312500,5.078125,5.125000,5.125000,69780800
1998-03-13,5.140625,5.312500,5.093750,5.210938,5.210938,31441600
1998-03-16,5.343750,5.406250,5.281250,5.312500,5.312500,24947200
1998-03-17,5.320313,5.328125,5.164063,5.240231,5.240231,14350400
1998-03-18,5.156250,5.429688,5.101563,5.392575,5.392575,41563200
1998-03-19,5.359375,5.464844,5.242188,5.242188,5.242188,33745600
1998-03-20,5.273438,5.308594,5.171875,5.197262,5.197262,18041600
1998-03-23,5.156250,5.238281,5.148438,5.187500,5.187500,10816000
1998-03-24,5.171875,5.437500,5.171875,5.425781,5.425781,28342400
1998-03-25,5.507813,5.621094,5.460938,5.515625,5.515625,38163200
1998-03-26,5.507813,5.656250,5.458981,5.558594,5.558594,27820800
1998-03-27,5.636719,5.761719,5.546875,5.664063,5.664063,28928000
1998-03-30,5.726563,5.890625,5.695313,5.816406,5.816406,30766400
1998-03-31,5.875000,5.882813,5.734375,5.777344,5.777344,19136000
1998-04-01,5.777344,6.113281,5.679688,6.113281,6.113281,39004800
1998-04-02,6.187500,6.535156,6.156250,6.492188,6.492188,64988800
1998-04-03,6.566406,6.609375,6.312500,6.402344,6.402344,58545600
1998-04-06,6.484375,6.484375,6.156250,6.191406,6.191406,47131200
1998-04-07,6.156250,6.156250,5.734375,5.828125,5.828125,81860800
1998-04-08,5.875000,6.171875,5.867188,6.078125,6.078125,93374400
1998-04-09,6.734375,7.171875,6.625000,7.156250,7.156250,176787200
1998-04-13,7.031250,7.289063,6.800781,7.062500,7.062500,114054400
1998-04-14,7.046875,7.390625,6.976563,7.179688,7.179688,77942400
1998-04-15,7.296875,7.414063,7.238281,7.386719,7.386719,40574400
1998-04-16,7.437500,8.101563,7.312500,8.024412,8.024412,146963200
1998-04-17,7.726563,7.843750,7.507813,7.593750,7.593750,93952000
1998-04-20,7.640625,8.054688,7.539063,7.859375,7.859375,67028800
1998-04-21,7.921875,8.062500,7.625000,7.705075,7.705075,51115200
1998-04-22,7.765625,7.789063,7.320313,7.398438,7.398438,57531200
1998-04-23,7.226563,7.250000,6.941406,7.011719,7.011719,82996800
1998-04-24,7.117188,7.359375,6.945313,7.171875,7.171875,78507200
1998-04-27,6.976563,7.046875,6.832031,7.007813,7.007813,67828800
1998-04-28,7.324219,7.460938,7.203125,7.406250,7.406250,75300800
1998-04-29,7.375000,7.468750,7.285156,7.390625,7.390625,38995200
1998-04-30,7.515625,7.601563,7.375000,7.433594,7.433594,35766400
1998-05-01,7.460938,7.460938,7.296875,7.414063,7.414063,20518400
1998-05-04,7.503906,7.625000,7.453125,7.554688,7.554688,15729600
1998-05-05,7.398438,7.523438,7.281250,7.296875,7.296875,23513600
1998-05-06,7.320313,7.328125,7.140625,7.191406,7.191406,22596800
1998-05-07,7.187500,7.398438,7.156250,7.199219,7.199219,26564800
1998-05-08,7.171875,7.359375,7.105469,7.359375,7.359375,26433600
1998-05-11,7.414063,7.429688,7.125000,7.136719,7.136719,27179200
1998-05-12,7.093750,7.281250,7.035156,7.230469,7.230469,33731200
1998-05-13,7.250000,7.753906,7.203125,7.750000,7.750000,60171200
1998-05-14,7.691406,7.898438,7.515625,7.515625,7.515625,57985600
1998-05-15,7.625000,7.687500,7.359375,7.378906,7.378906,25552000
1998-05-18,7.429688,7.464844,7.136719,7.285156,7.285156,33620800
1998-05-19,7.359375,7.484375,7.296875,7.384762,7.384762,23678400
1998-05-20,7.460938,7.460938,7.234375,7.304688,7.304688,15969600
1998-05-21,7.406250,7.406250,7.234375,7.312500,7.312500,18348800
1998-05-22,7.273438,7.296875,7.062500,7.148438,7.148438,15713600
1998-05-26,7.195313,7.218750,6.757813,6.765625,6.765625,46486400
1998-05-27,6.656250,7.203125,6.648438,7.195313,7.195313,103491200
1998-05-28,7.132813,7.187500,6.867188,6.875000,6.875000,47590400
1998-05-29,6.906250,7.000000,6.792969,6.843750,6.843750,36216000
1998-06-01,6.765625,6.828125,6.343750,6.523438,6.523438,72801600
1998-06-02,6.562500,6.609375,6.195313,6.550781,6.550781,114208000
1998-06-03,6.609375,6.609375,6.351563,6.375000,6.375000,71544000
1998-06-04,6.375000,6.507813,6.281250,6.414063,6.414063,49841600
1998-06-05,6.406250,6.625000,6.343750,6.562500,6.562500,37105600
1998-06-08,6.562500,6.843750,6.554688,6.835938,6.835938,33300800
1998-06-09,6.941406,7.406250,6.859375,7.367188,7.367188,95710400
1998-06-10,7.312500,7.453125,7.148438,7.152344,7.152344,69064000
1998-06-11,7.195313,7.296875,7.089844,7.203125,7.203125,51329600
1998-06-12,7.250000,7.250000,6.937500,7.113281,7.113281,48417600
1998-06-15,6.992188,7.273438,6.968750,7.203125,7.203125,53963200
1998-06-16,7.273438,7.648438,7.156250,7.621094,7.621094,63780800
1998-06-17,7.789063,8.226563,7.765625,8.164063,8.164063,130657600
1998-06-18,8.296875,8.523438,7.976563,7.984375,7.984375,81768000
1998-06-19,7.945313,8.156250,7.796875,8.078125,8.078125,59110400
1998-06-22,8.062500,8.773438,8.031250,8.722656,8.722656,81326400
1998-06-23,8.703125,9.398438,8.625000,9.253906,9.253906,122494400
1998-06-24,9.308594,9.500000,8.937500,9.296875,9.296875,96169600
1998-06-25,9.281250,9.765625,9.187500,9.515625,9.515625,99208000
1998-06-26,9.421875,9.601563,9.156250,9.292969,9.292969,67873600
1998-06-29,9.343750,9.671875,9.335938,9.652344,9.652344,51121600
1998-06-30,9.671875,9.984375,9.601563,9.843750,9.843750,63260800
1998-07-01,10.007813,10.625000,10.000000,10.617188,10.617188,73984000
1998-07-02,10.843750,11.218750,10.375000,10.804688,10.804688,119217600
1998-07-06,11.179688,12.500000,11.058594,12.453125,12.453125,216720000
1998-07-07,12.921875,12.968750,11.875000,11.937500,11.937500,198368000
1998-07-08,11.562500,12.406250,10.937500,11.636719,11.636719,224849600
1998-07-09,12.484375,12.750000,11.500000,11.500000,11.500000,207491200
1998-07-10,11.335938,11.632813,11.101563,11.406250,11.406250,112896000
1998-07-13,11.101563,11.789063,11.062500,11.773438,11.773438,85763200
1998-07-14,11.796875,11.960938,11.500000,11.656250,11.656250,59248000
1998-07-15,11.710938,11.710938,11.320313,11.359375,11.359375,36636800
1998-07-16,11.398438,11.718750,11.226563,11.667969,11.667969,51748800
1998-07-17,11.609375,11.835938,11.414063,11.609375,11.609375,46369600
1998-07-20,11.656250,12.328125,11.546875,12.269531,12.269531,63902400
1998-07-21,12.289063,12.964844,11.714844,11.812500,11.812500,115219200
1998-07-22,11.875000,12.289063,11.781250,12.109375,12.109375,68036800
1998-07-23,12.132813,12.421875,11.796875,11.835938,11.835938,43572800
1998-07-24,11.968750,12.062500,11.101563,11.382813,11.382813,87747200
1998-07-27,11.171875,11.843750,10.875000,11.824219,11.824219,83516800
1998-07-28,11.781250,11.906250,11.390625,11.453125,11.453125,61753600
1998-07-29,11.609375,11.664063,10.828125,10.847656,10.847656,66641600
1998-07-30,11.085938,11.585938,10.656250,11.417969,11.417969,96512000
1998-07-31,11.484375,11.562500,11.156250,11.371094,11.371094,63755200
1998-08-03,11.250000,11.312500,10.765625,10.804688,10.804688,34780000
1998-08-04,11.078125,11.218750,10.625000,10.640625,10.640625,42092800
1998-08-05,10.734375,10.968750,9.875000,10.484375,10.484375,54120000
1998-08-06,10.250000,11.046875,10.148438,10.921875,10.921875,36946400
1998-08-07,11.078125,11.656250,10.914063,11.453125,11.453125,51663200
1998-08-10,11.500000,11.750000,11.093750,11.750000,11.750000,34913600
1998-08-11,11.210938,11.781250,11.046875,11.421875,11.421875,50840800
1998-08-12,11.687500,12.039063,11.625000,11.921875,11.921875,42176000
1998-08-13,11.890625,12.093750,11.578125,11.593750,11.593750,26801600
1998-08-14,11.750000,11.796875,11.250000,11.468750,11.468750,25372000
1998-08-17,11.359375,11.562500,11.250000,11.500000,11.500000,20256800
1998-08-18,11.609375,12.250000,11.578125,12.156250,12.156250,42212800
1998-08-19,12.359375,12.500000,11.859375,11.906250,11.906250,33248000
1998-08-20,11.921875,12.234375,11.843750,12.187500,12.187500,23878400
1998-08-21,12.015625,12.171875,11.656250,11.921875,11.921875,30939200
1998-08-24,12.000000,12.250000,11.953125,12.210938,12.210938,21888000
1998-08-25,12.367188,12.406250,11.968750,12.187500,12.187500,19356800
1998-08-26,11.968750,12.117188,11.765625,12.109375,12.109375,22042400
1998-08-27,11.812500,11.875000,11.343750,11.382813,11.382813,39107200
1998-08-28,11.359375,11.546875,10.218750,10.382813,10.382813,62074400
1998-08-31,10.375000,10.515625,8.312500,8.625000,8.625000,77024800
1998-09-01,8.265625,9.562500,7.375000,9.031250,9.031250,96534400
1998-09-02,9.625000,10.492188,9.328125,9.718750,9.718750,78278400
1998-09-03,9.250000,9.734375,8.937500,9.398438,9.398438,63705600
1998-09-04,9.617188,9.765625,9.062500,9.421875,9.421875,33694400
1998-09-08,10.359375,10.625000,9.890625,10.578125,10.578125,54988000
1998-09-09,10.453125,10.726563,9.968750,10.000000,10.000000,38174400
1998-09-10,9.593750,10.062500,9.125000,9.984375,9.984375,61207200
1998-09-11,10.062500,10.234375,9.593750,9.984375,9.984375,45369600
1998-09-14,10.281250,10.609375,10.203125,10.484375,10.484375,35400800
1998-09-15,10.328125,10.562500,10.250000,10.546875,10.546875,33928800
1998-09-16,10.726563,11.718750,10.625000,11.671875,11.671875,97708000
1998-09-17,11.171875,11.718750,11.164063,11.257813,11.257813,103429600
1998-09-18,11.250000,11.546875,11.234375,11.304688,11.304688,40134400
1998-09-21,10.906250,12.125000,10.851563,12.039063,12.039063,61918400
1998-09-22,12.281250,13.125000,12.250000,12.867188,12.867188,88165600
1998-09-23,13.093750,14.750000,13.062500,14.734375,14.734375,121677600
1998-09-24,14.843750,15.671875,14.093750,14.406250,14.406250,119551200
1998-09-25,14.000000,15.156250,13.906250,15.125000,15.125000,80061600
1998-09-28,15.750000,16.187500,15.226563,15.992188,15.992188,85004800
1998-09-29,16.093750,16.828125,15.593750,16.437500,16.437500,87640800
1998-09-30,16.121088,16.523438,15.593750,16.187500,16.187500,83716800
1998-10-01,15.421875,15.796875,14.085938,14.117188,14.117188,122895200
1998-10-02,14.445313,15.937500,14.218750,15.875000,15.875000,135588000
1998-10-05,15.765625,16.195313,14.632813,15.726563,15.726563,130274400
1998-10-06,16.390625,16.515625,15.218750,15.601563,15.601563,123448000
1998-10-07,15.335938,15.375000,13.812500,14.296875,14.296875,137588800
1998-10-08,13.015625,13.562500,12.187500,13.101563,13.101563,172985600
1998-10-09,13.484375,13.750000,12.750000,13.203125,13.203125,74280000
1998-10-12,13.812500,14.750000,13.585938,14.304688,14.304688,103243200
1998-10-13,14.179688,14.296875,13.703125,13.742188,13.742188,51824000
1998-10-14,13.562500,14.562500,13.562500,13.984375,13.984375,59580000
1998-10-15,14.109375,15.015625,13.781250,14.921875,14.921875,71287200
1998-10-16,15.015625,15.250000,14.390625,14.453125,14.453125,54677600
1998-10-19,14.328125,14.906250,14.187500,14.687500,14.687500,42296000
1998-10-20,15.031250,15.140625,14.421875,14.437500,14.437500,48166400
1998-10-21,14.703125,14.984375,14.457025,14.968750,14.968750,35041600
1998-10-22,14.867188,15.531250,14.656250,15.265625,15.265625,60401600
1998-10-23,15.210938,15.500000,15.062500,15.265625,15.265625,28093600
1998-10-26,15.406250,16.000000,15.406250,15.992188,15.992188,40869600
1998-10-27,16.312500,16.515625,15.437500,15.468750,15.468750,47267200
1998-10-28,15.453125,16.000000,15.125000,15.843750,15.843750,42363200
1998-10-29,16.031250,16.406250,15.750000,16.398438,16.398438,41452000
1998-10-30,16.234375,16.640625,16.156250,16.355463,16.355463,39603200
1998-11-02,16.632813,18.218750,16.468750,18.179688,18.179688,82252800
1998-11-03,18.093750,18.625000,17.632813,17.765625,17.765625,88573600
1998-11-04,18.453125,18.937500,18.187500,18.921875,18.921875,75329600
1998-11-05,18.726563,19.257813,18.726563,18.960938,18.960938,82464800
1998-11-06,18.992188,19.289063,18.875000,19.195313,19.195313,39160800
1998-11-09,19.250000,20.671875,19.234375,20.593750,20.593750,73947200
1998-11-10,21.062500,23.203125,21.046875,22.070313,22.070313,104089600
1998-11-11,22.187500,22.734375,20.500000,20.625000,20.625000,96396800
1998-11-12,20.437500,21.921875,20.406250,21.656250,21.656250,76820000
1998-11-13,22.109375,22.210938,20.562500,21.000000,21.000000,59292800
1998-11-16,21.718750,21.875000,20.968750,21.656250,21.656250,47338400
1998-11-17,21.460938,22.687500,21.031250,22.093750,22.093750,65894400
1998-11-18,22.421875,23.781250,22.304688,23.765625,23.765625,80068000
1998-11-19,24.242188,24.796875,23.062500,23.234375,23.234375,83217600
1998-11-20,24.125000,24.140625,22.687500,23.875000,23.875000,74551200
1998-11-23,24.609375,27.750000,23.875000,27.679688,27.679688,92021600
1998-11-24,27.000000,28.468750,25.375000,26.281250,26.281250,132245600
1998-11-25,26.343750,27.000000,25.406250,26.234375,26.234375,56652000
1998-11-27,26.601563,27.156250,26.468750,27.117188,27.117188,16614400
1998-11-30,27.203125,27.203125,23.937500,24.000000,24.000000,56202400
1998-12-01,22.984375,25.921875,22.750000,25.781250,25.781250,98687200
1998-12-02,25.601563,25.796875,24.375000,24.632813,24.632813,63236800
1998-12-03,24.718750,25.343750,22.828125,22.968750,22.968750,67581600
1998-12-04,23.914063,24.109375,22.500000,23.718750,23.718750,73370400
1998-12-07,24.062500,24.250000,23.328125,23.820313,23.820313,30444000
1998-12-08,23.687500,25.000000,23.421875,24.812500,24.812500,50747200
1998-12-09,25.000000,25.812500,24.257813,24.734375,24.734375,63276000
1998-12-10,24.804688,25.250000,23.578125,24.093750,24.093750,47940800
1998-12-11,23.890625,24.718750,23.843750,24.460938,24.460938,42621600
1998-12-14,24.046875,24.609375,23.695313,23.906250,23.906250,40104000
1998-12-15,24.312500,24.796875,24.187500,24.750000,24.750000,32498400
1998-12-16,25.515625,26.312500,25.156250,25.640625,25.640625,55996800
1998-12-17,25.015625,26.687500,24.937500,25.687500,25.687500,54028800
1998-12-18,26.453125,26.890625,25.906250,26.539063,26.539063,37685600
1998-12-21,27.625000,31.359375,27.250000,30.937500,30.937500,68780000
1998-12-22,31.562500,31.734375,29.125000,30.625000,30.625000,63622400
1998-12-23,31.406250,31.671875,30.687500,31.250000,31.250000,29891200
1998-12-24,30.765625,31.375000,30.500000,30.890625,30.890625,9348800
1998-12-28,31.687500,35.750000,31.250000,34.437500,34.437500,60430400
1998-12-29,34.421875,34.421875,32.921875,33.750000,33.750000,41398400
1998-12-30,33.250000,33.921875,30.125000,30.578125,30.578125,59023200
1998-12-31,30.234375,31.875000,29.000000,29.617188,29.617188,37516800
1999-01-04,30.250000,31.500000,30.000000,31.000000,31.000000,33860000
1999-01-05,30.320313,32.625000,29.960938,32.234375,32.234375,43924800
1999-01-06,33.500000,37.375000,33.375000,36.375000,36.375000,71474400
1999-01-07,35.500000,40.718750,35.375000,40.000000,40.000000,77141600
1999-01-08,43.250000,44.671875,41.250000,42.953125,42.953125,61498400
1999-01-11,45.992188,55.625000,45.437500,51.921875,51.921875,80186400
1999-01-12,54.828125,55.375000,46.250000,50.250000,50.250000,104092000
1999-01-13,49.890625,50.750000,41.500000,46.000000,46.000000,97093600
1999-01-14,46.484375,48.250000,42.875000,42.992188,42.992188,56675200
1999-01-15,43.117188,44.312500,38.000000,39.625000,39.625000,83922400
1999-01-19,42.484375,43.125000,39.742188,40.375000,40.375000,34664800
1999-01-20,40.804688,41.343750,35.625000,35.898438,35.898438,43305600
1999-01-21,34.257813,35.000000,31.171875,33.125000,33.125000,89164000
1999-01-22,31.625000,36.375000,31.625000,35.750000,35.750000,73045600
1999-01-25,37.093750,39.125000,35.625000,39.000000,39.000000,49068800
1999-01-26,39.937500,44.015625,39.875000,43.906250,43.906250,66213600
1999-01-27,46.546875,47.648438,41.250000,41.984375,41.984375,54030400
1999-01-28,43.609375,46.125000,41.875000,45.968750,45.968750,52440000
1999-01-29,45.000000,45.625000,43.125000,44.281250,44.281250,33787200
1999-02-01,44.625000,44.875000,41.625000,41.945313,41.945313,39826400
1999-02-02,41.968750,42.250000,38.578125,40.367188,40.367188,49295200
1999-02-03,40.390625,45.000000,40.390625,44.757813,44.757813,45029600
1999-02-04,44.562500,44.875000,41.875000,42.125000,42.125000,48534400
1999-02-05,43.015625,44.125000,41.875000,43.187500,43.187500,49096000
1999-02-08,43.187500,43.375000,38.656250,39.656250,39.656250,38321600
1999-02-09,39.343750,39.468750,34.750000,35.187500,35.187500,41688400
1999-02-10,34.875000,37.156250,32.234375,35.593750,35.593750,47980400
1999-02-11,37.250000,39.750000,36.375000,39.625000,39.625000,32700800
1999-02-12,38.640625,38.750000,37.000000,37.750000,37.750000,24872000
1999-02-16,38.125000,39.000000,32.984375,33.343750,33.343750,58302000
1999-02-17,33.625000,34.812500,31.375000,32.406250,32.406250,38656400
1999-02-18,33.500000,33.625000,31.000000,32.218750,32.218750,35252000
1999-02-19,33.390625,34.359375,32.500000,33.828125,33.828125,33774000
1999-02-22,34.250000,37.500000,32.968750,36.437500,36.437500,33567600
1999-02-23,37.125000,39.312500,37.000000,38.218750,38.218750,45360800
1999-02-24,39.125000,40.125000,37.375000,37.546875,37.546875,35772800
1999-02-25,37.390625,38.875000,36.125000,38.843750,38.843750,32932400
1999-02-26,38.875000,39.593750,37.500000,38.375000,38.375000,29360000
1999-03-01,38.390625,41.250000,37.281250,40.031250,40.031250,39223200
1999-03-02,40.343750,41.250000,38.218750,38.296875,38.296875,29651200
1999-03-03,38.718750,39.343750,37.156250,38.359375,38.359375,25215200
1999-03-04,39.187500,39.500000,36.531250,37.875000,37.875000,23268000
1999-03-05,39.593750,40.500000,39.000000,39.953125,39.953125,32062800
1999-03-08,40.589825,43.296875,40.000000,42.609375,42.609375,36341600
1999-03-09,42.703125,43.250000,40.937500,41.828125,41.828125,25655600
1999-03-10,43.250000,43.625000,42.250000,43.406250,43.406250,22300000
1999-03-11,44.468750,45.843750,44.015625,44.750000,44.750000,34746000
1999-03-12,44.687500,44.781250,42.750000,44.000000,44.000000,18828400
1999-03-15,44.250000,44.921875,43.187500,44.859375,44.859375,13907200
1999-03-16,45.078125,45.125000,43.687500,43.718750,43.718750,12136000
1999-03-17,43.531250,43.562500,42.500000,43.031250,43.031250,11562800
1999-03-18,42.515625,44.000000,42.468750,43.828125,43.828125,13022800
1999-03-19,44.187500,44.562500,42.437500,42.500000,42.500000,13999600
1999-03-22,42.718750,44.500000,41.156250,41.250000,41.250000,16258800
1999-03-23,40.500000,41.000000,38.796875,38.875000,38.875000,20626000
1999-03-24,38.093750,40.125000,36.781250,40.125000,40.125000,22805600
1999-03-25,41.984375,44.812500,41.250000,44.750000,44.750000,32558000
1999-03-26,43.593750,44.312500,42.500000,42.843750,42.843750,23164800
1999-03-29,44.250000,44.687500,42.937500,44.000000,44.000000,15764000
1999-03-30,43.843750,46.468750,43.031250,43.078125,43.078125,38020000
1999-03-31,44.000000,45.375000,42.000000,42.093750,42.093750,32183600
1999-04-01,44.750000,45.250000,42.000000,44.937500,44.937500,40504800
1999-04-05,46.562500,55.250000,46.250000,54.781250,54.781250,82058000
1999-04-06,55.000000,61.000000,52.500000,53.718750,53.718750,100101200
1999-04-07,57.250000,57.750000,50.750000,52.109375,52.109375,69661600
1999-04-08,54.250000,54.250000,49.234375,51.671875,51.671875,56466800
1999-04-09,51.171875,52.750000,50.500000,51.750000,51.750000,24151600
1999-04-12,48.281250,51.515625,48.218750,50.734375,50.734375,39976800
1999-04-13,51.187500,54.093750,50.500000,50.750000,50.750000,29236400
1999-04-14,51.062500,52.000000,47.375000,47.750000,47.750000,25956800
1999-04-15,47.437500,50.015625,43.000000,48.656250,48.656250,45416800
1999-04-16,48.875000,49.250000,46.265625,47.296875,47.296875,23426400
1999-04-19,47.218750,47.750000,40.312500,40.921875,40.921875,42021200
1999-04-20,40.312500,43.500000,38.750000,42.750000,42.750000,42084400
1999-04-21,43.656250,45.000000,42.500000,43.718750,43.718750,24596400
1999-04-22,45.671875,46.250000,43.859375,46.000000,46.000000,25307200
1999-04-23,45.843750,48.031250,45.125000,46.921875,46.921875,19913600
1999-04-26,47.281250,48.625000,46.812500,48.062500,48.062500,13915600
1999-04-27,48.734375,49.390625,45.375000,46.125000,46.125000,20129200
1999-04-28,45.687500,46.234375,42.750000,43.375000,43.375000,18786800
1999-04-29,42.031250,43.875000,41.156250,43.750000,43.750000,25935200
1999-04-30,45.015625,45.500000,42.000000,43.671875,43.671875,14938800
1999-05-03,42.781250,43.312500,40.250000,40.640625,40.640625,20424000
1999-05-04,40.562500,42.562500,39.500000,39.812500,39.812500,25120000
1999-05-05,40.093750,40.531250,37.218750,40.328125,40.328125,39324000
1999-05-06,40.500000,40.625000,37.500000,37.968750,37.968750,23365200
1999-05-07,37.906250,39.375000,36.250000,36.859375,36.859375,27588800
1999-05-10,37.062500,39.203125,36.875000,38.921875,38.921875,25932800
1999-05-11,41.093750,43.828125,40.218750,43.500000,43.500000,42985600
1999-05-12,42.718750,43.375000,41.218750,42.484375,42.484375,22728400
1999-05-13,42.875000,43.375000,39.968750,40.093750,40.093750,18511600
1999-05-14,38.609375,40.437500,38.250000,39.343750,39.343750,23758400
1999-05-17,38.765625,40.687500,37.515625,40.453125,40.453125,26168000
1999-05-18,39.843750,40.375000,38.828125,39.203125,39.203125,18851600
1999-05-19,39.734375,40.281250,38.812500,39.562500,39.562500,16702000
1999-05-20,39.593750,39.781250,37.750000,37.875000,37.875000,10570000
1999-05-21,38.312500,38.328125,37.187500,37.828125,37.828125,14906400
1999-05-24,37.343750,37.562500,33.968750,34.468750,34.468750,30008400
1999-05-25,34.609375,35.281250,31.656250,31.734375,31.734375,37816800
1999-05-26,32.500000,35.312500,30.125000,35.218750,35.218750,52978400
1999-05-27,34.750000,35.406250,33.218750,33.343750,33.343750,30726800
1999-05-28,33.625000,37.062500,32.875000,37.000000,37.000000,28661200
1999-06-01,36.328125,37.500000,33.765625,34.546875,34.546875,31400400
1999-06-02,34.062500,37.250000,32.531250,35.625000,35.625000,45042400
1999-06-03,35.625000,36.125000,33.375000,33.843750,33.843750,30196000
1999-06-04,34.031250,36.937500,33.500000,36.859375,36.859375,36142000
1999-06-07,36.656250,39.437500,36.062500,37.968750,37.968750,36826000
1999-06-08,38.093750,38.375000,35.632801,35.828125,35.828125,27203600
1999-06-09,36.218750,37.296875,35.765625,36.593750,36.593750,23841200
1999-06-10,35.921875,36.968750,35.187500,36.187500,36.187500,20716000
1999-06-11,36.093750,36.625000,33.562500,33.812500,33.812500,25944000
1999-06-14,33.671875,33.718750,29.500000,29.812500,29.812500,50811600
1999-06-15,29.406250,32.406250,29.406250,31.312500,31.312500,49996000
1999-06-16,33.312500,35.875000,31.296875,35.406250,35.406250,59128800
1999-06-17,34.906250,37.484375,34.312500,35.562500,35.562500,48852400
1999-06-18,35.343750,36.375000,35.125000,36.109375,36.109375,17448800
1999-06-21,37.125000,40.125000,37.000000,39.718750,39.718750,50007600
1999-06-22,39.343750,41.531250,37.625000,38.125000,38.125000,50848000
1999-06-23,37.437500,39.125000,36.562500,38.875000,38.875000,42335200
1999-06-24,38.750000,38.921875,36.750000,37.750000,37.750000,28072800
1999-06-25,38.187500,38.468750,36.250000,36.718750,36.718750,21633200
1999-06-28,36.890625,39.125000,36.890625,39.125000,39.125000,38500400
1999-06-29,38.953125,41.078125,38.250000,40.000000,40.000000,45476000
1999-06-30,39.968750,44.593750,39.453125,43.062500,43.062500,59339600
1999-07-01,43.593750,44.968750,42.953125,44.312500,44.312500,46766800
1999-07-02,44.250000,44.718750,43.125000,44.531250,44.531250,29583200
1999-07-06,45.625000,47.312500,43.125000,43.781250,43.781250,62996800
1999-07-07,43.062500,43.500000,41.250000,41.765625,41.765625,67031200
1999-07-08,43.453125,43.812500,40.500000,41.109375,41.109375,67836800
1999-07-09,41.359375,41.750000,39.750000,40.000000,40.000000,28462000
1999-07-12,39.875000,39.937500,37.500000,37.562500,37.562500,47432400
1999-07-13,36.968750,39.500000,36.250000,39.234375,39.234375,47375200
1999-07-14,39.937500,40.375000,39.218750,39.859375,39.859375,36978400
1999-07-15,40.125000,40.437500,38.250000,38.609375,38.609375,24413600
1999-07-16,38.437500,38.875000,37.468750,37.562500,37.562500,20528000
1999-07-19,37.718750,38.125000,36.875000,37.375000,37.375000,25438400
1999-07-20,37.031250,37.625000,35.437500,35.531250,35.531250,24332400
1999-07-21,35.718750,38.125000,35.562500,37.968750,37.968750,32751200
1999-07-22,37.078125,37.875000,35.765625,36.281250,36.281250,39331200
1999-07-23,36.640625,37.031250,35.890625,36.437500,36.437500,19178800
1999-07-26,35.375000,35.968750,33.000000,33.578125,33.578125,41694400
1999-07-27,34.531250,35.125000,32.765625,32.828125,32.828125,39426000
1999-07-28,33.359375,35.804676,32.875000,35.750000,35.750000,46910800
1999-07-29,34.781250,35.000000,33.500000,34.250000,34.250000,42611200
1999-07-30,34.437500,35.125000,33.375000,34.109375,34.109375,25167200
1999-08-02,33.765625,34.937500,33.000000,33.078125,33.078125,24568000
1999-08-03,33.609375,33.609375,30.718750,31.343750,31.343750,60916800
1999-08-04,31.250000,31.937500,29.937500,30.250000,30.250000,45760800
1999-08-05,30.031250,32.406250,27.500000,32.093750,32.093750,93246000
1999-08-06,32.781250,34.000000,31.437500,31.734375,31.734375,58423200
1999-08-09,32.031250,32.218750,30.003901,30.296875,30.296875,30964400
1999-08-10,30.187500,32.187500,29.000000,31.875000,31.875000,59756000
1999-08-11,32.562500,32.906250,30.640625,32.015625,32.015625,47123600
1999-08-12,32.000000,33.312500,31.640625,32.093750,32.093750,31806800
1999-08-13,33.093750,33.500000,32.437500,33.203125,33.203125,24487600
1999-08-16,33.000000,33.843750,32.687500,33.625000,33.625000,20766000
1999-08-17,34.093750,34.875000,33.812500,34.718750,34.718750,29511600
1999-08-18,35.812500,37.375000,35.750000,36.265625,36.265625,41488000
1999-08-19,35.375000,35.875000,34.500000,34.796875,34.796875,31132400
1999-08-20,34.906250,36.328125,34.625000,36.250000,36.250000,20089600
1999-08-23,36.750000,38.375000,36.718750,38.031250,38.031250,42162000
1999-08-24,37.484375,39.875000,37.468750,38.234375,38.234375,46909600
1999-08-25,38.687500,39.765625,38.375000,39.640625,39.640625,25081200
1999-08-26,39.375000,40.125000,38.093750,38.171875,38.171875,23626800
1999-08-27,38.343750,38.375000,36.812500,37.250000,37.250000,20174400
1999-08-30,37.125000,37.437500,35.640625,35.953125,35.953125,17183600
1999-08-31,35.609375,37.062500,34.812500,36.875000,36.875000,42270800
1999-09-01,37.187500,37.343750,35.578125,35.828125,35.828125,17971600
1999-09-02,35.062500,36.128899,34.843750,35.390625,35.390625,21898800
1999-09-03,36.906250,38.765625,36.718750,38.750000,38.750000,33040800
1999-09-07,38.390625,39.250000,38.015625,38.750000,38.750000,24489600
1999-09-08,38.203125,38.875000,37.953125,38.359375,38.359375,17771200
1999-09-09,39.453125,40.843750,39.453125,40.671875,40.671875,41091200
1999-09-10,41.406250,43.015625,41.250000,42.625000,42.625000,41157200
1999-09-13,41.687500,41.937500,40.125000,40.187500,40.187500,28529600
1999-09-14,39.937500,41.984375,39.921875,41.296875,41.296875,25134000
1999-09-15,42.062500,42.437500,40.562500,40.593750,40.593750,26740800
1999-09-16,40.531250,40.968750,39.328125,40.859375,40.859375,25113200
1999-09-17,40.703125,41.656250,40.265625,40.781250,40.781250,19720000
1999-09-20,41.125000,42.187500,41.000000,42.093750,42.093750,20120000
1999-09-21,41.453125,43.750000,41.078125,42.390625,42.390625,43461600
1999-09-22,42.375000,45.000000,42.156250,44.875000,44.875000,47312800
1999-09-23,45.078125,46.609375,42.812500,43.437500,43.437500,66187200
1999-09-24,43.328125,46.250000,43.328125,45.828125,45.828125,56219600
1999-09-27,46.500000,46.843750,44.578125,45.343750,45.343750,38259200
1999-09-28,45.312500,46.468750,43.812500,46.171875,46.171875,32783600
1999-09-29,45.500000,46.750000,44.671875,44.828125,44.828125,26710400
1999-09-30,44.906250,45.359375,43.687500,44.875000,44.875000,23179600
1999-10-01,44.625000,45.000000,43.156250,43.859375,43.859375,24662400
1999-10-04,44.296875,44.625000,41.656250,42.796875,42.796875,34314400
1999-10-05,43.054676,44.453125,41.937500,43.328125,43.328125,52034800
1999-10-06,44.000000,44.234375,42.890625,43.937500,43.937500,35948400
1999-10-07,46.171875,48.265625,45.500000,47.562500,47.562500,99988000
1999-10-08,47.000000,48.093750,46.265625,48.031250,48.031250,37374800
1999-10-11,46.750000,47.000000,45.000000,45.343750,45.343750,70550400
1999-10-12,45.468750,45.484375,43.000000,43.468750,43.468750,45610000
1999-10-13,43.296875,44.250000,41.812500,41.890625,41.890625,45434800
1999-10-14,42.484375,43.484375,41.843750,43.343750,43.343750,42182000
1999-10-15,41.750000,43.187500,41.328125,42.390625,42.390625,44574800
1999-10-18,42.421875,43.187500,41.125000,42.593750,42.593750,33723200
1999-10-19,43.625000,44.187500,43.406250,43.718750,43.718750,35864000
1999-10-20,44.187500,45.125000,43.343750,45.035149,45.035149,29566000
1999-10-21,44.218750,45.718750,44.062500,45.484375,45.484375,38491600
1999-10-22,45.562500,45.953125,44.312500,44.531250,44.531250,20509200
1999-10-25,44.148426,45.062500,44.062500,44.687500,44.687500,15003200
1999-10-26,44.812500,45.031250,43.500000,44.796875,44.796875,12201600
1999-10-27,44.375000,44.406250,43.000000,43.546875,43.546875,14534800
1999-10-28,43.515625,44.875000,43.187500,43.750000,43.750000,29123600
1999-10-29,44.625000,45.000000,44.250000,44.765625,44.765625,29416400
1999-11-01,44.875000,45.750000,44.500000,45.171875,45.171875,22136000
1999-11-02,45.250000,45.375000,44.218750,44.500000,44.500000,16212000
1999-11-03,44.859375,45.593750,44.656250,45.156250,45.156250,18202400
1999-11-04,45.765625,46.375000,45.328125,45.531250,45.531250,22840400
1999-11-05,46.531250,46.625000,45.750000,45.859375,45.859375,19503200
1999-11-08,45.656250,49.906250,45.468750,49.296875,49.296875,39462400
1999-11-09,49.812500,49.875000,48.062500,48.640625,48.640625,29762000
1999-11-10,48.343750,50.593750,48.312500,49.421875,49.421875,26834000
1999-11-11,49.625000,50.750000,48.062500,48.281250,48.281250,15894400
1999-11-12,49.000000,49.718750,47.562500,49.234375,49.234375,17907200
1999-11-15,49.000000,51.875000,48.843750,51.250000,51.250000,23674800
1999-11-16,51.421875,53.234375,50.921875,53.140625,53.140625,23657200
1999-11-17,52.765625,53.000000,51.218750,51.546875,51.546875,16416800
1999-11-18,51.656250,53.875000,50.750000,53.468750,53.468750,16049600
1999-11-19,53.484375,54.796875,52.500000,54.687500,54.687500,17340400
1999-11-22,54.875000,57.546875,54.500000,56.703125,56.703125,22806400
1999-11-23,56.500000,57.312500,54.500000,55.296875,55.296875,25955600
1999-11-24,56.562500,58.250000,56.312500,57.750000,57.750000,22665200
1999-11-26,58.250000,58.812500,56.343750,56.718750,56.718750,8035600
1999-11-29,57.312500,58.625000,56.218750,56.531250,56.531250,18530400
1999-11-30,55.859375,55.906250,52.625000,53.187500,53.187500,24242400
1999-12-01,57.500000,58.500000,56.234375,57.218750,57.218750,52774000
1999-12-02,57.593750,62.437500,56.937500,61.453125,61.453125,39232400
1999-12-03,62.496075,64.687500,62.234375,63.250000,63.250000,40032400
1999-12-06,63.250000,70.500000,62.671875,70.203125,70.203125,64394800
1999-12-07,74.000000,88.250000,71.531250,87.000000,87.000000,265342000
1999-12-08,81.000000,82.328125,77.750000,79.906250,79.906250,99627600
1999-12-09,79.968750,85.312500,78.015625,85.000000,85.000000,45672000
1999-12-10,86.687500,89.375000,83.562500,88.375000,88.375000,38182800
1999-12-13,87.003899,89.062500,86.125000,87.765625,87.765625,22786400
1999-12-14,87.062500,87.625000,83.250000,83.281250,83.281250,28800000
1999-12-15,81.843750,83.687500,78.875000,81.875000,81.875000,33132400
1999-12-16,83.125000,85.468750,83.093750,85.250000,85.250000,19881200
1999-12-17,86.187500,88.031250,84.250000,87.500000,87.500000,20652000
1999-12-20,87.000000,92.468750,86.500000,92.375000,92.375000,27528400
1999-12-21,91.906250,102.078125,91.203125,101.390625,101.390625,40430400
1999-12-22,101.437500,105.296875,98.687500,104.828125,104.828125,34557200
1999-12-23,104.375000,106.562500,100.000000,100.656250,100.656250,18468400
1999-12-27,98.437500,107.015625,94.468750,103.750000,103.750000,38158000
1999-12-28,102.500000,105.000000,97.500000,97.562500,97.562500,20896400
1999-12-29,99.109375,102.500000,98.500000,100.921875,100.921875,11763200
1999-12-30,105.437500,112.000000,101.687500,104.015625,104.015625,24972400
1999-12-31,105.109375,110.375000,102.515625,108.171875,108.171875,10116400
2000-01-03,110.730453,119.250000,107.375000,118.750000,118.750000,38469600
2000-01-04,116.125000,125.031250,110.500000,110.750000,110.750000,69868800
2000-01-05,107.625000,107.781250,100.500000,102.625000,102.625000,83194800
2000-01-06,101.562500,103.250000,90.250000,92.046875,92.046875,71301200
2000-01-07,91.687500,102.000000,90.750000,101.812500,101.812500,48999600
2000-01-10,108.125000,112.812500,105.000000,109.015625,109.015625,61022400
2000-01-11,105.968750,106.562500,98.000000,99.343750,99.343750,75761600
2000-01-12,97.468750,98.500000,88.750000,89.390625,89.390625,74100000
2000-01-13,91.625000,94.343750,84.500000,86.718750,86.718750,67762800
2000-01-14,88.750000,90.750000,85.500000,88.250000,88.250000,49232800
2000-01-18,85.437500,87.500000,83.750000,85.296875,85.296875,30706000
2000-01-19,84.000000,91.843750,84.000000,91.000000,91.000000,31800000
2000-01-20,92.265625,92.984375,87.250000,87.984375,87.984375,31349600
2000-01-21,88.750000,90.000000,87.000000,87.984375,87.984375,17615200
2000-01-24,88.484375,90.125000,81.000000,81.078125,81.078125,25329200
2000-01-25,81.750000,86.750000,79.062500,86.390625,86.390625,34588000
2000-01-26,85.125000,85.871078,81.937500,82.140625,82.140625,19404000
2000-01-27,83.109375,84.890625,81.281250,84.343750,84.343750,19222000
2000-01-28,83.390625,85.750000,77.406250,78.375000,78.375000,36656000
2000-01-31,77.500000,80.515625,75.750000,80.515625,80.515625,35825200
2000-02-01,79.859375,82.437500,77.703125,79.343750,79.343750,24690800
2000-02-02,80.371078,84.250000,79.250000,82.000000,82.000000,26813200
2000-02-03,83.714828,90.250000,83.500000,90.062500,90.062500,39057600
2000-02-04,91.125000,93.125000,86.750000,88.375000,88.375000,33816000
2000-02-07,88.511703,90.750000,86.750000,88.500000,88.500000,20864400
2000-02-08,89.750000,94.953125,89.625000,93.281250,93.281250,29828800
2000-02-09,92.500000,94.312500,90.031250,90.578125,90.578125,23918800
2000-02-10,90.625000,91.500000,88.484375,91.250000,91.250000,17980400
2000-02-11,90.968750,91.250000,85.437500,85.671875,85.671875,19158400
2000-02-14,86.750000,86.875000,81.875000,82.875000,82.875000,15165600
2000-02-15,83.187500,86.625000,78.000000,85.000000,85.000000,21323200
2000-02-16,84.125000,85.000000,80.000000,80.781250,80.781250,12820400
2000-02-17,82.937500,84.000000,80.531250,81.593750,81.593750,12434600
2000-02-18,80.625000,81.593750,77.687500,78.062500,78.062500,14643800
2000-02-22,78.437500,78.500000,74.468750,76.906250,76.906250,17691600
2000-02-23,76.812500,85.000000,76.500000,83.101547,83.101547,21189800
2000-02-24,83.242149,85.812500,79.625000,84.031250,84.031250,16506000
2000-02-25,82.812500,85.156250,80.156250,82.593750,82.593750,11418000
2000-02-28,80.742149,82.375000,76.062500,80.968750,80.968750,18420200
2000-02-29,82.218750,84.937500,77.750000,79.843750,79.843750,13684600
2000-03-01,78.750000,81.500000,77.500000,79.250000,79.250000,11652200
2000-03-02,77.507797,79.500000,76.000000,77.468750,77.468750,12227400
2000-03-03,78.000000,81.500000,75.500000,79.000000,79.000000,14972000
2000-03-06,81.750000,88.500000,81.367149,85.781250,85.781250,25566400
2000-03-07,87.437500,90.187500,84.000000,85.687500,85.687500,17345600
2000-03-08,87.312500,90.500000,82.500000,88.500000,88.500000,17234400
2000-03-09,87.625000,92.500000,86.000000,91.625000,91.625000,17405000
2000-03-10,90.585899,91.500000,87.812500,89.031250,89.031250,10406600
2000-03-13,84.062500,90.250000,84.000000,87.906250,87.906250,12033000
2000-03-14,89.250000,91.765602,83.968750,84.375000,84.375000,15768600
2000-03-15,84.375000,84.500000,77.562500,79.250000,79.250000,17643400
2000-03-16,79.593750,86.500000,78.031250,85.093750,85.093750,17049200
2000-03-17,84.562500,88.468750,84.500000,85.562500,85.562500,11223000
2000-03-20,86.093750,87.687500,82.625000,86.007797,86.007797,10404600
2000-03-21,86.500000,96.625000,84.281250,95.875000,95.875000,25232800
2000-03-22,94.718750,102.812500,94.250000,98.593750,98.593750,31384600
2000-03-23,96.687500,101.500000,95.250000,95.500000,95.500000,14708600
2000-03-24,96.750000,100.500000,94.000000,97.000000,97.000000,14707800
2000-03-27,97.812500,102.593750,97.500000,100.375000,100.375000,17279800
2000-03-28,98.500000,100.375000,96.000000,97.500000,97.500000,12830200
2000-03-29,96.718750,98.250000,87.000000,88.531250,88.531250,21540000
2000-03-30,86.250000,93.531250,80.125000,84.750000,84.750000,31733800
2000-03-31,87.625000,88.625000,80.250000,85.687500,85.687500,21684000
2000-04-03,84.375000,86.500000,79.687500,80.062500,80.062500,19322800
2000-04-04,82.500000,85.500000,66.375000,83.687500,83.687500,42528400
2000-04-05,81.000000,84.937500,79.250000,82.781250,82.781250,27371800
2000-04-06,80.968750,85.625000,75.343750,77.000000,77.000000,55990400
2000-04-07,78.375000,80.000000,75.375000,75.562500,75.562500,24960400
2000-04-10,76.437500,76.500000,70.500000,70.968750,70.968750,24860000
2000-04-11,69.781250,71.250000,66.250000,66.750000,66.750000,28853600
2000-04-12,68.312500,71.468750,65.250000,68.093750,68.093750,29695800
2000-04-13,68.484352,74.062500,67.156250,68.062500,68.062500,28022800
2000-04-14,65.125000,67.625000,55.500000,58.000000,58.000000,38466800
2000-04-17,55.625000,61.468750,54.000000,57.187500,57.187500,44468600
2000-04-18,58.468750,63.750000,57.750000,63.343750,63.343750,24866000
2000-04-19,64.687500,67.250000,61.000000,62.937500,62.937500,18326000
2000-04-20,63.250000,64.562500,59.750000,61.562500,61.562500,13100600
2000-04-24,57.500000,59.562500,53.500000,56.937500,56.937500,21974800
2000-04-25,59.375000,63.500000,59.375000,62.250000,62.250000,25156400
2000-04-26,62.250000,63.437500,59.125000,59.562500,59.562500,16669600
2000-04-27,57.250000,63.375000,56.500000,62.156250,62.156250,19964200
2000-04-28,63.375000,65.937500,62.750000,65.125000,65.125000,14908800
2000-05-01,67.375000,68.000000,63.468750,65.437500,65.437500,14252400
2000-05-02,64.562500,65.750000,60.812500,61.281250,61.281250,13658200
2000-05-03,60.156250,62.375000,58.031250,61.031250,61.031250,14383000
2000-05-04,62.250000,63.500000,60.531250,62.093750,62.093750,13000000
2000-05-05,61.000000,64.000000,61.000000,62.843750,62.843750,8375000
2000-05-08,61.468750,62.750000,60.250000,60.375000,60.375000,7958800
2000-05-09,60.750000,61.125000,57.500000,58.718750,58.718750,13656200
2000-05-10,57.656250,61.250000,56.250000,59.445301,59.445301,18772600
2000-05-11,60.906250,63.000000,59.750000,62.656250,62.656250,14962800
2000-05-12,63.250000,65.718750,62.531250,62.843750,62.843750,14853400
2000-05-15,62.562500,65.000000,60.320301,65.000000,65.000000,11592000
2000-05-16,66.687500,69.125000,65.000000,67.812500,67.812500,20359400
2000-05-17,66.250000,69.875000,65.937500,68.906250,68.906250,20842400
2000-05-18,68.750000,68.781250,65.000000,66.000000,66.000000,15213200
2000-05-19,65.687500,67.343750,60.000000,60.156250,60.156250,28261600
2000-05-22,60.062500,64.000000,56.625000,63.125000,63.125000,31994400
2000-05-23,62.625000,63.687500,59.000000,59.156250,59.156250,17904400
2000-05-24,58.750000,62.000000,56.000000,61.375000,61.375000,22729200
2000-05-25,60.750000,61.812500,56.500000,57.500000,57.500000,18788800
2000-05-26,57.250000,58.062500,55.500000,56.031250,56.031250,12662200
2000-05-30,57.843750,60.000000,57.250000,58.500000,58.500000,17734000
2000-05-31,56.875000,58.656250,56.406250,56.531250,56.531250,28353800
2000-06-01,58.093750,61.000000,57.812500,60.031250,60.031250,16573800
2000-06-02,64.929649,67.437500,63.656250,67.250000,67.250000,22187400
2000-06-05,65.437500,70.968750,65.250000,68.656250,68.656250,17966800
2000-06-06,67.875000,71.093750,67.500000,67.531250,67.531250,13933800
2000-06-07,69.250000,73.000000,67.750000,72.250000,72.250000,20657200
2000-06-08,73.437500,73.875000,70.250000,72.000000,72.000000,17499800
2000-06-09,73.281250,73.382797,71.125000,71.593750,71.593750,8727400
2000-06-12,72.500000,72.750000,68.375000,68.718750,68.718750,11717000
2000-06-13,68.343750,69.781250,65.625000,69.750000,69.750000,14961200
2000-06-14,70.031250,70.750000,68.562500,69.750000,69.750000,8810400
2000-06-15,69.125000,70.875000,67.406250,69.843750,69.843750,10597600
2000-06-16,69.937500,70.625000,67.750000,70.468750,70.468750,13738800
2000-06-19,70.000000,70.312500,67.968750,69.531250,69.531250,14533600
2000-06-20,70.187500,75.000000,70.156250,74.000000,74.000000,20704400
2000-06-21,71.156250,72.781250,70.250000,71.406250,71.406250,15826200
2000-06-22,70.937500,71.062500,65.812500,65.843750,65.843750,16783000
2000-06-23,64.625000,65.000000,61.125000,62.656250,62.656250,18099800
2000-06-26,62.250000,62.437500,58.562500,59.656250,59.656250,23421800
2000-06-27,59.437500,64.437500,59.375000,62.968750,62.968750,20571400
2000-06-28,62.656250,63.812500,61.562500,61.781250,61.781250,13065200
2000-06-29,61.281250,63.000000,59.375000,59.656250,59.656250,12176400
2000-06-30,59.406250,62.250000,59.406250,61.937500,61.937500,9068000
2000-07-03,61.250000,64.125000,61.062500,63.937500,63.937500,4773200
2000-07-05,63.000000,63.937500,60.125000,60.406250,60.406250,8643000
2000-07-06,60.687500,62.093750,59.250000,61.187500,61.187500,11706400
2000-07-07,58.531250,59.250000,57.500000,58.250000,58.250000,25520400
2000-07-10,56.906250,57.000000,54.859348,55.000000,55.000000,23104200
2000-07-11,52.468750,53.281250,49.937500,52.750000,52.750000,61754000
2000-07-12,60.250000,63.687500,58.437500,62.468750,62.468750,74122200
2000-07-13,62.781250,63.562500,60.757801,61.281250,61.281250,20465600
2000-07-14,62.312500,64.125000,61.250000,64.000000,64.000000,18338800
2000-07-17,63.375000,66.750000,62.531250,65.812500,65.812500,15484200
2000-07-18,64.687500,66.687500,63.562500,64.968750,64.968750,15129400
2000-07-19,65.031250,69.000000,65.000000,67.000000,67.000000,20859200
2000-07-20,67.000000,71.343750,66.843750,69.906250,69.906250,19580200
2000-07-21,69.062500,70.375000,68.781250,69.156250,69.156250,10598400
2000-07-24,68.437500,69.375000,66.125000,66.281250,66.281250,12922000
2000-07-25,67.031250,69.687500,65.187500,69.000000,69.000000,12744800
2000-07-26,68.156250,69.625000,66.843750,67.968750,67.968750,11078600
2000-07-27,67.093750,68.312500,65.656250,67.031250,67.031250,11889800
2000-07-28,67.343750,68.375000,63.031250,63.375000,63.375000,14022600
2000-07-31,63.093750,64.875000,61.375000,64.343750,64.343750,11073200
2000-08-01,64.250000,65.000000,63.000000,63.718750,63.718750,8777800
2000-08-02,63.343750,66.531250,63.125000,63.562500,63.562500,9287400
2000-08-03,62.437500,65.781250,61.750000,65.593750,65.593750,12216200
2000-08-04,66.375000,68.437500,65.625000,66.968750,66.968750,10833600
2000-08-07,66.734352,68.875000,65.375000,68.250000,68.250000,9502600
2000-08-08,67.593750,69.000000,66.531250,67.062500,67.062500,8953400
2000-08-09,68.187500,68.750000,66.250000,66.343750,66.343750,8145800
2000-08-10,66.281250,66.906250,64.156250,64.656250,64.656250,6857000
2000-08-11,64.125000,64.875000,62.687500,64.312500,64.312500,7436000
2000-08-14,64.625000,66.875000,64.093750,66.187500,66.187500,8142800
2000-08-15,65.593750,67.625000,65.562500,66.156250,66.156250,6694400
2000-08-16,67.250000,69.000000,66.750000,67.000000,67.000000,11161800
2000-08-17,66.656250,67.062500,65.437500,65.562500,65.562500,11038200
2000-08-18,65.187500,65.687500,62.500000,62.593750,62.593750,14911600
2000-08-21,62.343750,65.281250,61.625000,65.218750,65.218750,15705600
2000-08-22,64.500000,65.000000,63.156250,63.750000,63.750000,18488000
2000-08-23,62.875000,67.187500,62.468750,66.906250,66.906250,14610600
2000-08-24,66.687500,70.000000,66.062500,69.906250,69.906250,19643800
2000-08-25,69.406250,69.843750,66.437500,67.125000,67.125000,13895600
2000-08-28,64.250000,65.750000,60.312500,61.031250,61.031250,39080600
2000-08-29,60.367149,63.375000,60.000000,60.500000,60.500000,27184600
2000-08-30,60.843750,62.250000,60.257801,61.625000,61.625000,15051800
2000-08-31,61.812500,62.000000,60.375000,60.750000,60.750000,11091400
2000-09-01,58.937500,58.968750,55.062500,56.968750,56.968750,35473000
2000-09-05,55.937500,59.625000,55.187500,58.562500,58.562500,27535600
2000-09-06,58.687500,58.875000,56.000000,56.031250,56.031250,19088600
2000-09-07,55.281250,57.375000,53.000000,53.468750,53.468750,35515800
2000-09-08,53.593750,54.687500,49.875000,52.062500,52.062500,36988200
2000-09-11,51.625000,54.687500,51.437500,53.156250,53.156250,17564200
2000-09-12,54.406250,55.117149,52.500000,53.500000,53.500000,12909600
2000-09-13,52.781250,54.093750,52.250000,53.187500,53.187500,11120400
2000-09-14,53.906250,54.687500,53.000000,53.468750,53.468750,11057000
2000-09-15,53.500000,53.750000,52.187500,52.937500,52.937500,13341000
2000-09-18,52.093750,53.750000,51.187500,52.531250,52.531250,11642800
2000-09-19,52.750000,54.125000,52.562500,54.031250,54.031250,9642600
2000-09-20,54.625000,56.218750,53.812500,54.843750,54.843750,16960800
2000-09-21,54.429649,56.062500,54.000000,54.062500,54.062500,8599200
2000-09-22,51.937500,56.000000,51.937500,55.718750,55.718750,12025600
2000-09-25,55.171848,56.187500,52.531250,52.750000,52.750000,10145800
2000-09-26,53.000000,53.031250,50.250000,51.218750,51.218750,14132200
2000-09-27,51.375000,51.375000,44.000000,45.187500,45.187500,59994600
2000-09-28,45.687500,48.500000,44.968750,47.843750,47.843750,27555400
2000-09-29,48.562500,48.625000,45.250000,45.500000,45.500000,13879800
2000-10-02,45.781250,45.937500,42.062500,43.031250,43.031250,25121600
2000-10-03,43.750000,45.375000,41.312500,42.000000,42.000000,25678000
2000-10-04,42.218750,44.375000,41.250000,43.968750,43.968750,18776000
2000-10-05,44.250000,45.312500,41.750000,42.343750,42.343750,19689600
2000-10-06,42.750000,43.000000,39.718750,40.625000,40.625000,23314400
2000-10-09,40.781250,43.750000,37.750000,42.875000,42.875000,25993800
2000-10-10,43.687500,44.375000,40.937500,41.343750,41.343750,38555200
2000-10-11,36.343750,36.781250,32.500000,32.687500,32.687500,92244000
2000-10-12,33.343750,33.375000,27.718750,28.312500,28.312500,63441200
2000-10-13,27.593750,30.187500,27.375000,30.000000,30.000000,56348600
2000-10-16,30.375000,30.812500,27.531250,27.625000,27.625000,31040200
2000-10-17,27.968750,28.062500,23.718750,24.468750,24.468750,58899000
2000-10-18,23.218750,27.125000,22.531250,26.375000,26.375000,59887600
2000-10-19,28.687500,30.062500,26.843750,29.781250,29.781250,34329800
2000-10-20,29.687500,31.875000,28.343750,29.500000,29.500000,25588200
2000-10-23,30.125000,31.046850,29.531250,29.812500,29.812500,15772600
2000-10-24,30.718750,32.125000,29.000000,29.312500,29.312500,23606200
2000-10-25,30.437500,30.898399,27.046850,27.781250,27.781250,20160200
2000-10-26,28.375000,28.500000,25.437500,28.000000,28.000000,19796600
2000-10-27,28.562500,29.218750,26.593750,27.625000,27.625000,14792400
2000-10-30,26.906250,27.812500,25.500000,26.312500,26.312500,16900200
2000-10-31,26.843750,30.000000,26.250000,29.312500,29.312500,23011600
2000-11-01,28.890600,33.500000,28.500000,32.179649,32.179649,34524000
2000-11-02,33.250000,34.625000,32.125000,33.718750,33.718750,29210800
2000-11-03,34.687500,35.281250,33.312500,34.375000,34.375000,20381800
2000-11-06,35.125000,35.218750,32.687500,32.812500,32.812500,14251200
2000-11-07,32.968750,34.562500,31.812500,34.250000,34.250000,13889800
2000-11-08,34.625000,35.312500,32.468750,32.500000,32.500000,16011400
2000-11-09,30.429649,31.437500,28.250000,29.406250,29.406250,26721000
2000-11-10,28.906250,30.875000,28.062500,28.218750,28.218750,19196200
2000-11-13,27.406250,29.562500,26.000000,27.656250,27.656250,19343200
2000-11-14,28.843750,29.750000,27.750000,29.718750,29.718750,13959400
2000-11-15,29.125000,30.000000,27.375000,28.562500,28.562500,16191200
2000-11-16,27.500000,28.250000,26.312500,26.468750,26.468750,13573000
2000-11-17,26.101549,27.750000,25.000000,25.625000,25.625000,21516400
2000-11-20,25.187500,25.687500,23.937500,24.437500,24.437500,18448400
2000-11-21,23.500000,24.000000,20.281250,20.843750,20.843750,49950200
2000-11-22,20.187500,21.500000,19.031250,19.093750,19.093750,43183200
2000-11-24,20.125000,21.125000,19.687500,20.437500,20.437500,19702400
2000-11-27,21.867149,22.500000,20.000000,20.062500,20.062500,24838400
2000-11-28,19.968750,20.250000,17.875000,18.484350,18.484350,29390800
2000-11-29,18.570299,19.625000,17.843750,19.531250,19.531250,35039400
2000-11-30,18.796850,19.812500,17.593750,19.812500,19.812500,33938200
2000-12-01,19.406250,20.562500,18.187500,19.468750,19.468750,40172600
2000-12-04,19.218750,19.656250,18.093750,18.968750,18.968750,29997600
2000-12-05,19.843750,22.000000,19.656250,21.937500,21.937500,30714800
2000-12-06,20.812500,21.468750,18.562500,18.750000,18.750000,32559800
2000-12-07,18.031250,18.109350,15.750000,17.468750,17.468750,55136200
2000-12-08,18.562500,18.562500,16.062500,17.468750,17.468750,49184000
2000-12-11,16.812500,18.531250,15.312500,16.937500,16.937500,71038800
2000-12-12,16.625000,19.750000,16.468750,17.906250,17.906250,79275800
2000-12-13,19.156250,19.312500,17.125000,17.437500,17.437500,33640400
2000-12-14,17.656250,17.953100,15.968750,16.000000,16.000000,20899800
2000-12-15,16.000000,17.000000,15.531250,16.500000,16.500000,40448000
2000-12-18,16.937500,17.000000,15.125000,16.000000,16.000000,31697600
2000-12-19,15.281250,15.984350,14.000000,14.000000,14.000000,36131600
2000-12-20,12.906250,14.187500,12.750000,13.968750,13.968750,44862800
2000-12-21,13.375000,14.125000,12.531250,12.812500,12.812500,27794400
2000-12-22,13.218750,14.937500,13.031250,14.781250,14.781250,28347400
2000-12-26,16.000000,17.000000,15.062500,15.593750,15.593750,37536200
2000-12-27,15.500000,15.750000,14.562500,14.875000,14.875000,22045400
2000-12-28,14.718750,15.875000,14.562500,15.500000,15.500000,24374600
2000-12-29,15.156250,15.593750,14.781250,15.031250,15.031250,20893400
2001-01-02,15.156250,15.187500,13.750000,14.093750,14.093750,21939200
2001-01-03,13.875000,16.281250,12.992150,15.468750,15.468750,49936600
2001-01-04,14.929650,16.093750,14.718750,14.781250,14.781250,35051800
2001-01-05,14.687500,15.687500,13.937500,14.250000,14.250000,26867400
2001-01-08,13.687500,13.750000,12.687500,13.593750,13.593750,26165200
2001-01-09,13.281250,15.281250,13.000000,15.062500,15.062500,43097200
2001-01-10,14.656250,15.625000,13.937500,15.250000,15.250000,54304200
2001-01-11,12.210900,13.312500,12.062500,12.937500,12.937500,132926800
2001-01-12,13.031250,13.437500,12.531250,13.281250,13.281250,50575600
2001-01-16,13.500000,14.218750,13.312500,13.687500,13.687500,32059000
2001-01-17,14.312500,15.875000,13.968750,15.125000,15.125000,66939000
2001-01-18,15.500000,17.375000,14.843750,17.218750,17.218750,57925400
2001-01-19,18.000000,18.031250,16.281250,16.906250,16.906250,40979800
2001-01-22,16.656250,17.875000,16.281250,17.343750,17.343750,25512600
2001-01-23,17.218750,19.500000,17.093750,19.476549,19.476549,34783200
2001-01-24,19.156250,21.687500,19.000000,21.437500,21.437500,57294800
2001-01-25,20.937500,21.406250,19.281250,19.593750,19.593750,44249200
2001-01-26,18.812500,19.312500,18.062500,18.843750,18.843750,24462600
2001-01-29,18.875000,20.187500,18.875000,19.937500,19.937500,18819000
2001-01-30,20.562500,20.875000,18.875000,19.843750,19.843750,18776000
2001-01-31,19.906250,20.531250,18.500000,18.656250,18.656250,22458600
2001-02-01,18.750000,19.093750,17.531250,18.031250,18.031250,20113200
2001-02-02,18.250000,18.312500,16.437500,16.500000,16.500000,21816200
2001-02-05,16.343750,17.992149,16.031250,17.531250,17.531250,19448400
2001-02-06,17.593750,18.250000,17.062500,18.187500,18.187500,20752000
2001-02-07,17.562500,17.843750,16.312500,16.718750,16.718750,19541600
2001-02-08,16.843750,16.937500,14.937500,15.093750,15.093750,28289800
2001-02-09,15.093750,15.250000,13.875000,13.968750,13.968750,23027200
2001-02-12,14.156250,15.000000,13.843750,14.250000,14.250000,18094400
2001-02-13,14.468750,14.875000,13.500000,13.562500,13.562500,21768800
2001-02-14,13.718750,14.468750,12.875000,14.250000,14.250000,22815200
2001-02-15,14.500000,16.250000,14.500000,15.656250,15.656250,40358600
2001-02-16,14.656250,15.000000,13.875000,14.093750,14.093750,19290600
2001-02-20,14.468750,14.937500,13.250000,13.281250,13.281250,26573400
2001-02-21,13.093750,14.125000,12.937500,13.062500,13.062500,23493200
2001-02-22,13.250000,13.875000,11.812500,12.000000,12.000000,46159600
2001-02-23,12.093750,12.750000,11.437500,12.718750,12.718750,28155400
2001-02-26,12.937500,12.968750,11.718750,12.875000,12.875000,24700600
2001-02-27,12.625000,12.812500,11.687500,11.718750,11.718750,19961600
2001-02-28,11.843750,12.562500,11.531250,11.906250,11.906250,20347000
2001-03-01,11.781250,12.218750,11.093750,12.218750,12.218750,21860200
2001-03-02,11.460900,11.875000,10.812500,10.843750,10.843750,21483200
2001-03-05,11.250000,11.437500,10.843750,11.093750,11.093750,17513000
2001-03-06,11.750000,12.218750,11.156250,11.187500,11.187500,20773600
2001-03-07,10.984350,11.000000,10.406250,10.468750,10.468750,10498800
2001-03-08,8.531250,8.875000,8.125000,8.843750,8.843750,118728200
2001-03-09,8.593750,8.656250,8.218750,8.500000,8.500000,28098800
2001-03-12,8.125000,8.750000,8.054650,8.187500,8.187500,32844000
2001-03-13,8.375000,8.601550,7.812500,8.031250,8.031250,29766600
2001-03-14,7.687500,8.000000,7.468750,7.656250,7.656250,21191000
2001-03-15,7.937500,8.062500,7.500000,7.500000,7.500000,16375400
2001-03-16,7.312500,7.531250,6.750000,6.781250,6.781250,24668000
2001-03-19,7.031250,7.562500,6.843750,7.468750,7.468750,17516200
2001-03-20,7.625000,7.812500,6.875000,6.968750,6.968750,23528400
2001-03-21,6.968750,7.250000,6.750000,6.843750,6.843750,15176000
2001-03-22,7.031250,7.468750,6.765600,7.437500,7.437500,20599000
2001-03-23,7.687500,7.789050,6.968750,7.218750,7.218750,18004600
2001-03-26,7.562500,7.562500,7.078100,7.093750,7.093750,12504000
2001-03-27,7.250000,7.875000,7.125000,7.781250,7.781250,21399000
2001-03-28,7.687500,7.781250,7.250000,7.468750,7.468750,18186800
2001-03-29,7.437500,7.500000,7.125000,7.500000,7.500000,17917800
2001-03-30,7.500000,8.218750,7.187500,7.875000,7.875000,20178000
2001-04-02,7.687500,7.875000,6.718750,7.000000,7.000000,19148200
2001-04-03,6.781250,6.843750,5.687500,5.687500,5.687500,29801200
2001-04-04,5.937500,6.656250,5.875000,6.218750,6.218750,30154800
2001-04-05,7.531250,7.937500,7.312500,7.625000,7.625000,51246000
2001-04-06,7.625000,7.906250,7.125000,7.406250,7.406250,30974000
2001-04-09,7.910000,8.045000,7.475000,7.820000,7.820000,18480400
2001-04-10,8.020000,8.460000,7.575000,8.010000,8.010000,39976000
2001-04-11,8.500000,8.625000,7.600000,7.930000,7.930000,37044200
2001-04-12,7.940000,8.500000,7.575000,8.480000,8.480000,34184400
2001-04-16,8.260000,9.275000,8.100000,8.810000,8.810000,34724200
2001-04-17,8.660000,8.900000,8.300000,8.655000,8.655000,35402800
2001-04-18,9.205000,10.045000,8.995000,9.310000,9.310000,37386800
2001-04-19,9.495000,10.075000,9.425000,9.980000,9.980000,26405400
2001-04-20,10.100000,10.490000,9.610000,9.925000,9.925000,25914000
2001-04-23,9.555000,9.585000,8.935000,8.980000,8.980000,20566200
2001-04-24,9.125000,9.550000,8.875000,9.005000,9.005000,20524000
2001-04-25,8.925000,9.370000,8.770000,9.340000,9.340000,14547200
2001-04-26,9.475000,9.875000,9.060000,9.130000,9.130000,14672000
2001-04-27,9.555000,9.925000,9.380000,9.750000,9.750000,15259400
2001-04-30,10.130000,10.525000,9.925000,10.090000,10.090000,21019200
2001-05-01,10.055000,11.200000,10.000000,11.155000,11.155000,20895600
2001-05-02,11.385000,11.850000,10.560000,11.460000,11.460000,35659200
2001-05-03,10.905000,10.985000,10.165000,10.415000,10.415000,19632800
2001-05-04,9.935000,10.240000,9.675000,10.065000,10.065000,24910200
2001-05-07,10.010000,10.135000,9.780000,9.990000,9.990000,13814200
2001-05-08,10.180000,10.190000,9.575000,9.870000,9.870000,15375200
2001-05-09,9.620000,9.620000,9.200000,9.430000,9.430000,17152000
2001-05-10,9.660000,9.680000,9.005000,9.115000,9.115000,12491400
2001-05-11,9.120000,9.215000,8.750000,8.895000,8.895000,9188200
2001-05-14,8.900000,8.915000,8.475000,8.550000,8.550000,9832800
2001-05-15,8.650000,9.525000,8.500000,9.030000,9.030000,16877400
2001-05-16,8.910000,9.935000,8.750000,9.690000,9.690000,19513600
2001-05-17,9.745000,10.160000,9.690000,9.925000,9.925000,18521800
2001-05-18,9.780000,10.020000,9.450000,9.680000,9.680000,10363200
2001-05-21,9.700000,10.750000,9.600000,10.750000,10.750000,23925600
2001-05-22,11.075000,11.535000,10.750000,11.065000,11.065000,30289800
2001-05-23,10.935000,10.940000,10.200000,10.220000,10.220000,15063000
2001-05-24,10.200000,10.775000,9.940000,10.765000,10.765000,17315000
2001-05-25,10.660000,10.680000,10.260000,10.460000,10.460000,7707000
2001-05-29,10.425000,10.425000,9.310000,9.395000,9.395000,15425400
2001-05-30,9.185000,9.520000,8.675000,8.835000,8.835000,16173200
2001-05-31,8.965000,9.800000,8.925000,9.055000,9.055000,18587600
2001-06-01,9.295000,10.075000,8.950000,9.730000,9.730000,17945200
2001-06-04,10.230000,10.250000,9.765000,9.890000,9.890000,24160400
2001-06-05,9.850000,10.050000,9.680000,10.000000,10.000000,14149800
2001-06-06,9.945000,10.410000,9.800000,9.840000,9.840000,16235000
2001-06-07,9.650000,9.715000,9.250000,9.710000,9.710000,15290400
2001-06-08,9.695000,9.720000,9.225000,9.275000,9.275000,11039600
2001-06-11,9.120000,9.270000,8.740000,8.930000,8.930000,13595800
2001-06-12,8.750000,9.260000,8.500000,9.055000,9.055000,15636800
2001-06-13,9.165000,9.195000,8.540000,8.575000,8.575000,12258000
2001-06-14,8.530000,8.740000,8.025000,8.235000,8.235000,16570400
2001-06-15,8.075000,8.375000,7.860000,8.005000,8.005000,17234800
2001-06-18,8.255000,8.320000,7.640000,7.655000,7.655000,11646000
2001-06-19,8.190000,8.255000,7.620000,7.780000,7.780000,19567800
2001-06-20,7.655000,9.255000,7.650000,9.245000,9.245000,21971600
2001-06-21,9.090000,9.250000,8.610000,8.900000,8.900000,21789600
2001-06-22,9.020000,9.105000,8.600000,8.655000,8.655000,12910400
2001-06-25,9.045000,9.985000,9.000000,9.885000,9.885000,33834000
2001-06-26,9.525000,9.810000,9.155000,9.570000,9.570000,27588400
2001-06-27,9.750000,9.820000,9.170000,9.365000,9.365000,21202000
2001-06-28,9.605000,9.840000,9.560000,9.690000,9.690000,16157600
2001-06-29,9.730000,10.000000,9.550000,9.995000,9.995000,11881000
2001-07-02,9.830000,10.275000,9.730000,10.020000,10.020000,14062400
2001-07-03,9.880000,10.075000,9.850000,9.905000,9.905000,7351400
2001-07-05,10.000000,10.435000,9.480000,9.595000,9.595000,19023800
2001-07-06,9.470000,9.500000,8.825000,8.940000,8.940000,19318200
2001-07-09,9.075000,9.435000,9.010000,9.285000,9.285000,14335000
2001-07-10,9.460000,9.510000,8.890000,8.915000,8.915000,12927200
2001-07-11,8.470000,8.775000,7.655000,8.515000,8.515000,50231200
2001-07-12,9.285000,9.310000,8.820000,9.310000,9.310000,31990000
2001-07-13,9.085000,9.530000,8.875000,9.125000,9.125000,19426200
2001-07-16,9.015000,9.595000,8.975000,9.005000,9.005000,23582200
2001-07-17,8.920000,9.350000,8.770000,9.240000,9.240000,15734200
2001-07-18,8.975000,9.125000,8.400000,8.515000,8.515000,20664000
2001-07-19,8.785000,8.945000,8.375000,8.715000,8.715000,16326400
2001-07-20,8.640000,9.025000,8.635000,8.970000,8.970000,17394400
2001-07-23,9.115000,9.145000,8.710000,8.780000,8.780000,11828200
2001-07-24,8.540000,8.885000,8.215000,8.485000,8.485000,11831600
2001-07-25,8.495000,8.625000,8.235000,8.435000,8.435000,10177800
2001-07-26,8.440000,8.850000,8.300000,8.740000,8.740000,11784000
2001-07-27,8.710000,9.250000,8.600000,9.010000,9.010000,12615800
2001-07-30,9.090000,9.195000,8.740000,8.900000,8.900000,8501600
2001-07-31,8.975000,9.125000,8.750000,8.810000,8.810000,9468400
2001-08-01,9.030000,9.295000,8.935000,9.145000,9.145000,14035200
2001-08-02,9.345000,9.350000,9.000000,9.225000,9.225000,7531600
2001-08-03,9.245000,9.255000,8.855000,8.935000,8.935000,7477600
2001-08-06,8.875000,8.920000,8.630000,8.695000,8.695000,7260600
2001-08-07,8.675000,8.910000,8.515000,8.650000,8.650000,7591400
2001-08-08,8.615000,8.750000,8.220000,8.275000,8.275000,10008800
2001-08-09,8.280000,8.285000,7.800000,8.140000,8.140000,16024400
2001-08-10,8.045000,8.130000,7.625000,7.710000,7.710000,18642400
2001-08-13,7.760000,7.900000,7.650000,7.820000,7.820000,10381800
2001-08-14,7.945000,8.005000,7.370000,7.490000,7.490000,17311400
2001-08-15,7.525000,7.540000,6.920000,7.130000,7.130000,21956200
2001-08-16,6.980000,7.470000,6.975000,7.395000,7.395000,14791200
2001-08-17,7.250000,7.310000,7.000000,7.025000,7.025000,9049600
2001-08-20,7.020000,7.390000,6.875000,7.230000,7.230000,9762600
2001-08-21,7.340000,7.345000,6.500000,6.505000,6.505000,12589800
2001-08-22,6.720000,6.735000,6.375000,6.700000,6.700000,18209000
2001-08-23,6.645000,6.925000,6.565000,6.630000,6.630000,15656400
2001-08-24,6.690000,7.135000,6.600000,7.055000,7.055000,13311000
2001-08-27,7.035000,7.035000,6.505000,6.710000,6.710000,15045400
2001-08-28,6.760000,6.860000,6.500000,6.500000,6.500000,14270400
2001-08-29,6.570000,6.670000,6.000000,6.070000,6.070000,21579600
2001-08-30,6.000000,6.000000,5.510000,5.660000,5.660000,23788000
2001-08-31,5.660000,5.950000,5.585000,5.930000,5.930000,15667000
2001-09-04,5.980000,6.205000,5.740000,5.850000,5.850000,18605800
2001-09-05,5.845000,5.845000,5.225000,5.320000,5.320000,24114600
2001-09-06,5.515000,5.775000,5.285000,5.550000,5.550000,29971200
2001-09-07,5.370000,5.580000,5.270000,5.375000,5.375000,17791800
2001-09-10,5.365000,6.175000,5.355000,5.870000,5.870000,29562800
2001-09-17,5.275000,5.660000,5.125000,5.440000,5.440000,34958200
2001-09-18,5.400000,5.565000,5.015000,5.050000,5.050000,20893400
2001-09-19,5.095000,5.200000,4.900000,5.035000,5.035000,24542000
2001-09-20,4.975000,5.170000,4.905000,4.985000,4.985000,16103200
2001-09-21,4.665000,4.700000,4.250000,4.340000,4.340000,25924800
2001-09-24,4.545000,4.730000,4.410000,4.625000,4.625000,15538800
2001-09-25,4.580000,5.020000,4.500000,4.640000,4.640000,23675000
2001-09-26,4.675000,4.750000,4.050000,4.055000,4.055000,15748000
2001-09-27,4.020000,4.625000,4.010000,4.555000,4.555000,29073200
2001-09-28,4.580000,4.625000,4.300000,4.405000,4.405000,13111800
2001-10-01,4.350000,4.600000,4.225000,4.545000,4.545000,14021600
2001-10-02,4.510000,4.625000,4.445000,4.620000,4.620000,10246400
2001-10-03,4.455000,5.000000,4.420000,4.955000,4.955000,23861000
2001-10-04,5.085000,5.795000,4.840000,5.340000,5.340000,35863200
2001-10-05,5.150000,5.300000,5.025000,5.175000,5.175000,12420400
2001-10-08,5.025000,5.445000,4.955000,5.245000,5.245000,14124400
2001-10-09,5.205000,5.300000,5.005000,5.080000,5.080000,12246400
2001-10-10,5.040000,5.625000,5.005000,5.465000,5.465000,26617400
2001-10-11,5.980000,6.340000,5.850000,6.250000,6.250000,58265400
2001-10-12,6.105000,6.130000,5.730000,6.040000,6.040000,29939200
2001-10-15,5.930000,6.195000,5.775000,6.035000,6.035000,11493000
2001-10-16,6.095000,6.335000,6.005000,6.250000,6.250000,13847800
2001-10-17,6.515000,6.590000,5.655000,5.680000,5.680000,23678200
2001-10-18,5.745000,5.920000,5.540000,5.635000,5.635000,14633600
2001-10-19,5.560000,5.730000,5.405000,5.685000,5.685000,13111600
2001-10-22,5.700000,5.940000,5.535000,5.890000,5.890000,11827000
2001-10-23,5.965000,6.145000,5.700000,5.790000,5.790000,20593400
2001-10-24,5.890000,6.020000,5.625000,5.975000,5.975000,12465200
2001-10-25,5.735000,6.160000,5.585000,6.125000,6.125000,20753600
2001-10-26,6.070000,6.290000,5.865000,6.030000,6.030000,11832200
2001-10-29,5.975000,6.075000,5.645000,5.650000,5.650000,14799000
2001-10-30,5.520000,5.710000,5.310000,5.545000,5.545000,14171600
2001-10-31,5.765000,5.845000,5.435000,5.440000,5.440000,11277200
2001-11-01,5.535000,5.670000,5.335000,5.600000,5.600000,14626000
2001-11-02,5.565000,5.625000,5.415000,5.480000,5.480000,10678000
2001-11-05,5.630000,6.000000,5.590000,5.995000,5.995000,15136800
2001-11-06,5.950000,6.575000,5.915000,6.495000,6.495000,23447200
2001-11-07,6.400000,7.005000,6.400000,6.715000,6.715000,29029000
2001-11-08,6.890000,7.140000,6.485000,6.560000,6.560000,22932000
2001-11-09,6.610000,6.885000,6.485000,6.860000,6.860000,18362800
2001-11-12,6.775000,6.885000,6.420000,6.850000,6.850000,15510000
2001-11-13,7.130000,7.145000,6.900000,6.985000,6.985000,15337600
2001-11-14,7.285000,7.690000,7.210000,7.605000,7.605000,29540000
2001-11-15,7.445000,7.730000,7.275000,7.415000,7.415000,30830600
2001-11-16,7.635000,8.000000,7.525000,7.735000,7.735000,31970800
2001-11-19,8.020000,8.175000,7.810000,8.140000,8.140000,17486200
2001-11-20,7.940000,8.000000,7.440000,7.445000,7.445000,26776200
2001-11-21,7.490000,7.630000,7.110000,7.465000,7.465000,16417400
2001-11-23,7.590000,7.890000,7.505000,7.865000,7.865000,9200200
2001-11-26,8.175000,9.045000,8.100000,9.035000,9.035000,45330600
2001-11-27,8.700000,8.970000,8.450000,8.700000,8.700000,43562200
2001-11-28,8.520000,8.725000,8.050000,8.105000,8.105000,25570400
2001-11-29,8.300000,8.350000,7.750000,8.350000,8.350000,33130200
2001-11-30,8.350000,8.390000,7.680000,7.785000,7.785000,25159000
2001-12-03,8.150000,8.175000,7.875000,7.915000,7.915000,22941800
2001-12-04,8.145000,8.515000,8.005000,8.480000,8.480000,22457600
2001-12-05,8.565000,8.800000,8.265000,8.530000,8.530000,40721000
2001-12-06,8.770000,9.750000,8.635000,9.510000,9.510000,61513000
2001-12-07,8.955000,9.115000,8.735000,8.835000,8.835000,32549200
2001-12-10,8.815000,9.350000,8.800000,8.910000,8.910000,23105800
2001-12-11,9.250000,9.500000,9.005000,9.210000,9.210000,29282400
2001-12-12,9.515000,9.665000,9.325000,9.570000,9.570000,31213200
2001-12-13,9.105000,9.155000,8.790000,8.790000,8.790000,22921200
2001-12-14,9.020000,9.020000,8.270000,8.605000,8.605000,20105600
2001-12-17,8.600000,9.035000,8.565000,8.930000,8.930000,15448400
2001-12-18,9.170000,9.225000,8.980000,9.190000,9.190000,15585200
2001-12-19,8.975000,9.150000,8.715000,8.855000,8.855000,13653200
2001-12-20,8.800000,9.095000,8.075000,8.110000,8.110000,20588400
2001-12-21,8.485000,8.640000,8.250000,8.460000,8.460000,23752600
2001-12-24,8.445000,8.510000,8.275000,8.335000,8.335000,4194400
2001-12-26,9.025000,9.135000,8.655000,8.755000,8.755000,25327400
2001-12-27,8.975000,9.045000,8.770000,8.885000,8.885000,15643400
2001-12-28,9.325000,9.440000,9.145000,9.150000,9.150000,25317400
2001-12-31,9.255000,9.275000,8.800000,8.870000,8.870000,18827800
2002-01-02,9.070000,9.345000,8.840000,9.315000,9.315000,21903600
2002-01-03,9.350000,9.645000,9.270000,9.565000,9.565000,23668000
2002-01-04,9.500000,9.905000,9.265000,9.450000,9.450000,24050200
2002-01-07,9.350000,9.970000,9.325000,9.865000,9.865000,29516400
2002-01-08,9.700000,9.865000,9.625000,9.765000,9.765000,19021200
2002-01-09,9.900000,10.675000,9.885000,10.125000,10.125000,38134400
2002-01-10,10.030000,10.355000,9.975000,10.245000,10.245000,21084800
2002-01-11,10.260000,10.450000,10.010000,10.080000,10.080000,14488200
2002-01-14,9.855000,9.960000,9.435000,9.505000,9.505000,21948400
2002-01-15,9.610000,9.740000,9.410000,9.735000,9.735000,16099200
2002-01-16,9.460000,9.540000,8.900000,8.935000,8.935000,39965800
2002-01-17,9.685000,10.190000,9.625000,10.060000,10.060000,59843400
2002-01-18,9.830000,9.990000,9.475000,9.600000,9.600000,35842800
2002-01-22,9.950000,10.025000,9.200000,9.210000,9.210000,28990600
2002-01-23,9.400000,9.425000,8.985000,9.220000,9.220000,21565200
2002-01-24,9.465000,9.700000,9.010000,9.095000,9.095000,29277400
2002-01-25,9.160000,9.425000,9.030000,9.340000,9.340000,20250600
2002-01-28,9.415000,9.455000,9.200000,9.350000,9.350000,12314400
2002-01-29,9.405000,9.405000,8.855000,9.090000,9.090000,20109600
2002-01-30,9.095000,9.100000,8.090000,8.595000,8.595000,37318600
2002-01-31,8.850000,8.900000,8.395000,8.620000,8.620000,15431600
2002-02-01,8.630000,8.650000,8.175000,8.340000,8.340000,13860200
2002-02-04,8.275000,8.300000,7.800000,7.875000,7.875000,17827400
2002-02-05,7.780000,8.080000,7.615000,7.885000,7.885000,21340200
2002-02-06,8.045000,8.050000,7.750000,7.945000,7.945000,25175200
2002-02-07,7.830000,7.875000,7.475000,7.675000,7.675000,21492200
2002-02-08,7.705000,8.360000,7.665000,8.325000,8.325000,18556800
2002-02-11,8.200000,8.410000,8.060000,8.275000,8.275000,12847800
2002-02-12,8.190000,8.265000,8.060000,8.165000,8.165000,9701200
2002-02-13,8.340000,8.590000,8.205000,8.395000,8.395000,24922800
2002-02-14,8.460000,8.675000,8.250000,8.285000,8.285000,13740600
2002-02-15,8.350000,8.355000,7.745000,7.835000,7.835000,15085000
2002-02-19,7.560000,7.575000,7.125000,7.220000,7.220000,24867000
2002-02-20,7.370000,7.715000,7.005000,7.645000,7.645000,25165200
2002-02-21,7.575000,7.675000,7.175000,7.220000,7.220000,20302000
2002-02-22,7.150000,7.330000,6.705000,7.230000,7.230000,18192000
2002-02-25,7.210000,7.625000,7.045000,7.500000,7.500000,19819800
2002-02-26,7.555000,7.565000,7.080000,7.465000,7.465000,16967000
2002-02-27,7.545000,7.690000,7.225000,7.275000,7.275000,16609200
2002-02-28,7.315000,7.505000,7.125000,7.230000,7.230000,16732200
2002-03-01,7.465000,8.345000,7.465000,8.305000,8.305000,33485400
2002-03-04,8.565000,9.035000,8.475000,8.905000,8.905000,32436200
2002-03-05,8.645000,9.130000,8.585000,9.095000,9.095000,28806400
2002-03-06,8.925000,9.250000,8.815000,9.130000,9.130000,23403200
2002-03-07,9.155000,9.250000,8.810000,8.970000,8.970000,16618600
2002-03-08,9.220000,9.490000,9.025000,9.465000,9.465000,19056800
2002-03-11,9.255000,10.270000,9.255000,10.250000,10.250000,34095200
2002-03-12,9.675000,9.905000,9.450000,9.680000,9.680000,29150400
2002-03-13,9.375000,9.800000,9.375000,9.610000,9.610000,16346600
2002-03-14,9.520000,9.695000,9.450000,9.615000,9.615000,11820400
2002-03-15,9.750000,9.800000,9.065000,9.360000,9.360000,26581200
2002-03-18,9.370000,9.630000,9.330000,9.605000,9.605000,15079000
2002-03-19,9.585000,9.725000,9.495000,9.545000,9.545000,10785200
2002-03-20,9.335000,9.545000,9.080000,9.100000,9.100000,10253600
2002-03-21,9.175000,9.375000,8.800000,9.295000,9.295000,20458800
2002-03-22,9.210000,9.380000,9.090000,9.215000,9.215000,13243400
2002-03-25,9.200000,9.440000,8.860000,8.915000,8.915000,10465600
2002-03-26,8.810000,9.225000,8.785000,8.845000,8.845000,16236600
2002-03-27,8.855000,8.975000,8.645000,8.925000,8.925000,11252400
2002-03-28,9.015000,9.245000,8.935000,9.235000,9.235000,10132400
2002-04-01,9.375000,9.425000,9.000000,9.340000,9.340000,12873600
2002-04-02,9.220000,9.250000,8.925000,9.025000,9.025000,14504000
2002-04-03,9.115000,9.140000,8.755000,8.910000,8.910000,14094000
2002-04-04,8.905000,8.910000,8.550000,8.830000,8.830000,15151200
2002-04-05,8.870000,9.240000,8.855000,9.085000,9.085000,18153400
2002-04-08,8.800000,9.425000,8.675000,9.420000,9.420000,26425800
2002-04-09,9.475000,9.575000,9.195000,9.230000,9.230000,21637800
2002-04-10,9.350000,9.405000,8.750000,9.220000,9.220000,33023200
2002-04-11,8.430000,8.435000,7.630000,7.725000,7.725000,68269000
2002-04-12,7.910000,7.995000,7.750000,7.860000,7.860000,23181000
2002-04-15,7.950000,8.035000,7.660000,7.705000,7.705000,18348600
2002-04-16,7.765000,7.775000,7.525000,7.695000,7.695000,29637400
2002-04-17,7.790000,7.950000,7.740000,7.945000,7.945000,22728800
2002-04-18,7.885000,7.920000,7.500000,7.530000,7.530000,16957400
2002-04-19,7.600000,7.625000,7.375000,7.380000,7.380000,18159800
2002-04-22,7.365000,7.365000,6.940000,7.070000,7.070000,19980800
2002-04-23,7.055000,7.140000,6.935000,7.085000,7.085000,14515400
2002-04-24,7.340000,7.545000,7.250000,7.305000,7.305000,26954000
2002-04-25,7.120000,7.385000,7.085000,7.175000,7.175000,16614200
2002-04-26,7.455000,7.475000,7.175000,7.250000,7.250000,19087600
2002-04-29,7.235000,7.350000,6.985000,7.105000,7.105000,15803200
2002-04-30,7.110000,7.525000,7.080000,7.380000,7.380000,21189800
2002-05-01,7.395000,7.925000,7.060000,7.820000,7.820000,26775600
2002-05-02,7.595000,7.885000,7.400000,7.500000,7.500000,21428600
2002-05-03,7.510000,7.550000,7.235000,7.385000,7.385000,12639200
2002-05-06,7.320000,7.630000,7.195000,7.300000,7.300000,15049000
2002-05-07,7.390000,7.525000,7.280000,7.370000,7.370000,12768800
2002-05-08,7.615000,8.185000,7.550000,8.160000,8.160000,21358200
2002-05-09,7.825000,8.325000,7.795000,8.185000,8.185000,22037600
2002-05-10,8.100000,8.225000,7.700000,7.730000,7.730000,17620000
2002-05-13,7.830000,8.115000,7.825000,7.990000,7.990000,14218400
2002-05-14,8.345000,8.910000,8.325000,8.775000,8.775000,24921600
2002-05-15,8.585000,8.990000,8.525000,8.890000,8.890000,21283600
2002-05-16,8.830000,9.100000,8.775000,9.015000,9.015000,14107400
2002-05-17,9.095000,9.225000,8.835000,9.000000,9.000000,12264200
2002-05-20,8.855000,8.860000,8.445000,8.585000,8.585000,14262800
2002-05-21,8.610000,8.635000,8.250000,8.365000,8.365000,9908600
2002-05-22,8.295000,8.570000,7.965000,8.135000,8.135000,16974200
2002-05-23,8.265000,8.565000,8.125000,8.545000,8.545000,14567800
2002-05-24,8.435000,8.550000,8.250000,8.505000,8.505000,8892600
2002-05-28,8.575000,8.580000,8.080000,8.275000,8.275000,9969600
2002-05-29,8.245000,8.440000,8.115000,8.290000,8.290000,10859600
2002-05-30,8.180000,8.330000,8.025000,8.210000,8.210000,9002800
2002-05-31,8.315000,8.350000,7.975000,8.010000,8.010000,11485200
2002-06-03,8.060000,8.200000,7.825000,7.840000,7.840000,12299800
2002-06-04,7.755000,8.150000,7.575000,8.000000,8.000000,15346800
2002-06-05,8.030000,8.045000,7.745000,8.005000,8.005000,11977400
2002-06-06,7.985000,8.210000,7.855000,7.995000,7.995000,13621000
2002-06-07,7.750000,8.115000,7.725000,7.930000,7.930000,15696600
2002-06-10,7.935000,8.105000,7.775000,7.920000,7.920000,9751200
2002-06-11,7.985000,8.195000,7.880000,7.930000,7.930000,10988400
2002-06-12,7.815000,8.025000,7.540000,7.915000,7.915000,17325200
2002-06-13,7.815000,8.100000,7.750000,7.985000,7.985000,10379800
2002-06-14,7.750000,8.035000,7.510000,7.980000,7.980000,13859800
2002-06-17,7.955000,8.535000,7.885000,8.390000,8.390000,14372200
2002-06-18,8.260000,8.525000,8.225000,8.325000,8.325000,11408600
2002-06-19,8.230000,8.435000,8.005000,8.010000,8.010000,13765800
2002-06-20,8.015000,8.110000,7.735000,7.825000,7.825000,14256800
2002-06-21,7.530000,7.800000,7.450000,7.745000,7.745000,17888200
2002-06-24,7.695000,7.700000,7.265000,7.540000,7.540000,19801800
2002-06-25,7.600000,7.685000,6.735000,6.860000,6.860000,29930600
2002-06-26,6.515000,7.350000,6.410000,7.090000,7.090000,27075400
2002-06-27,7.215000,7.350000,6.620000,7.090000,7.090000,23792600
2002-06-28,7.050000,7.435000,6.960000,7.380000,7.380000,13724200
2002-07-01,7.380000,7.430000,6.775000,6.815000,6.815000,15985000
2002-07-02,6.790000,6.795000,5.830000,5.940000,5.940000,34056000
2002-07-03,5.975000,6.490000,5.935000,6.390000,6.390000,25270400
2002-07-05,6.590000,6.825000,6.500000,6.810000,6.810000,9540600
2002-07-08,6.650000,6.900000,6.425000,6.445000,6.445000,21260400
2002-07-09,6.490000,6.560000,6.275000,6.350000,6.350000,18565400
2002-07-10,6.460000,6.535000,6.030000,6.095000,6.095000,43756600
2002-07-11,5.575000,6.580000,5.555000,6.460000,6.460000,80174600
2002-07-12,6.395000,6.665000,6.310000,6.470000,6.470000,35516000
2002-07-15,6.405000,6.835000,6.180000,6.530000,6.530000,39270800
2002-07-16,6.430000,7.165000,6.410000,6.880000,6.880000,34376200
2002-07-17,7.120000,7.400000,6.960000,7.130000,7.130000,31584000
2002-07-18,7.035000,7.125000,6.765000,6.790000,6.790000,21366600
2002-07-19,6.670000,6.740000,6.490000,6.685000,6.685000,19755600
2002-07-22,6.580000,6.985000,6.420000,6.660000,6.660000,26279400
2002-07-23,6.770000,6.845000,6.325000,6.330000,6.330000,24089400
2002-07-24,6.150000,6.795000,5.950000,6.790000,6.790000,30755600
2002-07-25,6.530000,6.570000,5.955000,6.080000,6.080000,39191600
2002-07-26,6.235000,6.425000,6.095000,6.350000,6.350000,24620400
2002-07-29,6.475000,6.635000,6.420000,6.595000,6.595000,17167200
2002-07-30,6.460000,6.945000,6.435000,6.695000,6.695000,19163200
2002-07-31,6.580000,6.740000,6.465000,6.585000,6.585000,14406800
2002-08-01,6.530000,6.535000,6.055000,6.080000,6.080000,16597800
2002-08-02,6.085000,6.090000,5.660000,5.790000,5.790000,17923400
2002-08-05,5.795000,5.815000,5.375000,5.445000,5.445000,16354600
2002-08-06,5.620000,5.970000,5.555000,5.750000,5.750000,15271000
2002-08-07,6.005000,6.095000,5.375000,5.715000,5.715000,16859000
2002-08-08,5.695000,6.050000,5.650000,5.980000,5.980000,13103000
2002-08-09,5.875000,6.095000,5.815000,5.980000,5.980000,9686400
2002-08-12,5.840000,5.990000,5.745000,5.985000,5.985000,9145000
2002-08-13,5.945000,6.225000,5.580000,5.595000,5.595000,20229400
2002-08-14,5.565000,5.985000,5.465000,5.855000,5.855000,19843800
2002-08-15,5.950000,6.145000,5.880000,6.110000,6.110000,13778400
2002-08-16,6.060000,6.135000,5.830000,6.050000,6.050000,14823000
2002-08-19,6.025000,6.775000,6.020000,6.735000,6.735000,25111800
2002-08-20,6.585000,6.730000,6.450000,6.545000,6.545000,16508200
2002-08-21,6.675000,6.740000,6.350000,6.450000,6.450000,20940400
2002-08-22,6.510000,6.550000,6.265000,6.400000,6.400000,21010800
2002-08-23,6.375000,6.385000,5.900000,6.010000,6.010000,17538200
2002-08-26,6.080000,6.085000,5.570000,5.655000,5.655000,22961600
2002-08-27,5.765000,5.765000,5.280000,5.350000,5.350000,25004800
2002-08-28,5.320000,5.325000,4.565000,4.565000,4.565000,55790200
2002-08-29,4.870000,5.205000,4.860000,5.125000,5.125000,70994200
2002-08-30,5.085000,5.225000,5.005000,5.145000,5.145000,23827400
2002-09-03,5.020000,5.040000,4.805000,4.855000,4.855000,26393200
2002-09-04,4.890000,4.975000,4.715000,4.885000,4.885000,26636600
2002-09-05,4.815000,4.815000,4.570000,4.595000,4.595000,19218400
2002-09-06,4.780000,5.010000,4.755000,4.970000,4.970000,17477400
2002-09-09,4.815000,5.180000,4.760000,5.075000,5.075000,18977400
2002-09-10,5.075000,5.340000,5.065000,5.230000,5.230000,19370400
2002-09-11,5.215000,5.550000,5.215000,5.360000,5.360000,15065800
2002-09-12,5.240000,5.310000,5.125000,5.175000,5.175000,20129400
2002-09-13,5.100000,5.325000,5.015000,5.230000,5.230000,13731400
2002-09-16,5.230000,5.295000,5.090000,5.090000,5.090000,9599200
2002-09-17,5.325000,5.340000,5.000000,5.005000,5.005000,10153200
2002-09-18,5.000000,5.060000,4.835000,5.000000,5.000000,9826200
2002-09-19,4.780000,4.950000,4.750000,4.750000,4.750000,9647400
2002-09-20,4.850000,4.885000,4.700000,4.875000,4.875000,12771200
2002-09-23,4.790000,4.825000,4.500000,4.540000,4.540000,16616400
2002-09-24,4.475000,4.730000,4.470000,4.500000,4.500000,18029000
2002-09-25,4.625000,5.030000,4.525000,4.955000,4.955000,24466200
2002-09-26,5.115000,5.355000,5.060000,5.295000,5.295000,36120400
2002-09-27,5.100000,5.410000,5.075000,5.290000,5.290000,14591000
2002-09-30,5.190000,5.190000,4.770000,4.785000,4.785000,21264200
2002-10-01,4.950000,4.970000,4.660000,4.850000,4.850000,18278800
2002-10-02,4.835000,5.140000,4.700000,4.740000,4.740000,17789000
2002-10-03,4.780000,5.000000,4.650000,4.695000,4.695000,12065600
2002-10-04,4.770000,4.785000,4.625000,4.670000,4.670000,11016800
2002-10-07,4.625000,4.745000,4.505000,4.540000,4.540000,10617800
2002-10-08,4.690000,4.790000,4.530000,4.750000,4.750000,16115000
2002-10-09,4.720000,5.045000,4.640000,4.990000,4.990000,38622600
2002-10-10,5.680000,6.150000,5.650000,6.135000,6.135000,125565800
2002-10-11,6.125000,6.750000,6.125000,6.680000,6.680000,65590000
2002-10-14,6.445000,7.350000,6.440000,7.130000,7.130000,65224200
2002-10-15,7.490000,7.615000,7.070000,7.210000,7.210000,75204200
2002-10-16,6.900000,7.415000,6.860000,7.340000,7.340000,45494600
2002-10-17,7.370000,7.490000,6.955000,7.335000,7.335000,45500400
2002-10-18,7.205000,7.525000,7.145000,7.515000,7.515000,30130400
2002-10-21,7.305000,7.550000,7.125000,7.480000,7.480000,35637800
2002-10-22,7.255000,7.455000,7.155000,7.425000,7.425000,29231800
2002-10-23,7.280000,7.535000,7.175000,7.535000,7.535000,29811600
2002-10-24,7.700000,7.795000,7.425000,7.530000,7.530000,35035000
2002-10-25,7.425000,7.520000,7.350000,7.460000,7.460000,24087400
2002-10-28,7.675000,7.675000,7.265000,7.330000,7.330000,20800000
2002-10-29,7.255000,7.400000,7.110000,7.150000,7.150000,19701000
2002-10-30,7.145000,7.530000,7.050000,7.490000,7.490000,18673200
2002-10-31,7.510000,7.660000,7.355000,7.460000,7.460000,20530800
2002-11-01,7.350000,7.615000,7.250000,7.575000,7.575000,19034000
2002-11-04,7.755000,8.745000,7.750000,8.385000,8.385000,45498600
2002-11-05,8.150000,8.545000,8.130000,8.515000,8.515000,24968000
2002-11-06,8.545000,8.720000,8.310000,8.690000,8.690000,50040000
2002-11-07,8.075000,8.090000,7.665000,7.800000,7.800000,45190000
2002-11-08,7.740000,7.970000,7.680000,7.840000,7.840000,18175400
2002-11-11,7.765000,7.850000,7.425000,7.460000,7.460000,15788200
2002-11-12,7.545000,7.865000,7.420000,7.740000,7.740000,16587000
2002-11-13,7.695000,7.950000,7.540000,7.720000,7.720000,21902200
2002-11-14,7.980000,8.375000,7.925000,8.350000,8.350000,21356200
2002-11-15,8.190000,8.755000,8.000000,8.725000,8.725000,29216000
2002-11-18,8.700000,9.000000,8.695000,8.880000,8.880000,19682600
2002-11-19,8.630000,8.795000,8.285000,8.375000,8.375000,21809200
2002-11-20,8.585000,9.005000,8.425000,9.000000,9.000000,21584600
2002-11-21,8.995000,9.400000,8.965000,9.155000,9.155000,27018400
2002-11-22,9.350000,9.380000,9.055000,9.200000,9.200000,16801400
2002-11-25,9.250000,9.300000,8.925000,9.195000,9.195000,15369200
2002-11-26,9.210000,9.250000,8.950000,9.065000,9.065000,18048200
2002-11-27,9.165000,9.295000,9.085000,9.195000,9.195000,12832400
2002-11-29,9.245000,9.300000,9.045000,9.135000,9.135000,8669600
2002-12-02,9.350000,9.485000,8.960000,9.020000,9.020000,15975200
2002-12-03,8.680000,8.810000,8.610000,8.680000,8.680000,14968400
2002-12-04,8.580000,8.625000,8.285000,8.370000,8.370000,21054800
2002-12-05,8.530000,8.560000,8.250000,8.275000,8.275000,10059200
2002-12-06,8.160000,8.470000,8.085000,8.370000,8.370000,9903400
2002-12-09,8.300000,8.330000,7.855000,7.870000,7.870000,12543800
2002-12-10,7.935000,8.345000,7.935000,8.135000,8.135000,16256400
2002-12-11,8.150000,8.390000,8.045000,8.230000,8.230000,10198600
2002-12-12,8.400000,8.925000,8.180000,8.840000,8.840000,25788000
2002-12-13,8.700000,9.095000,8.640000,8.700000,8.700000,31478800
2002-12-16,8.690000,8.800000,8.520000,8.650000,8.650000,18587400
2002-12-17,8.550000,8.875000,8.545000,8.760000,8.760000,15719400
2002-12-18,8.610000,8.675000,8.295000,8.400000,8.400000,13168600
2002-12-19,8.285000,8.560000,8.050000,8.355000,8.355000,21200200
2002-12-20,8.505000,8.575000,8.350000,8.540000,8.540000,18247400
2002-12-23,8.400000,8.890000,8.285000,8.860000,8.860000,14434400
2002-12-24,8.665000,8.900000,8.660000,8.685000,8.685000,6323400
2002-12-26,8.660000,8.770000,8.425000,8.475000,8.475000,9446200
2002-12-27,8.430000,8.690000,8.215000,8.290000,8.290000,9223400
2002-12-30,8.225000,8.405000,8.090000,8.240000,8.240000,11204800
2002-12-31,8.175000,8.310000,8.090000,8.175000,8.175000,8761000
2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400
2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600
2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400
2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600
2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600
2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400
2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600
2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600
2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600
2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000
2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400
2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600
2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600
2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600
2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400
2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400
2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600
2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800
2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800
2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000
2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000
2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600
2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400
2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800
2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000
2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200
2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400
2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800
2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000
2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800
2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600
2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400
2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400
2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000
2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200
2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400
2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200
2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400
2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600
2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000
2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600
2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000
2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000
2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200
2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200
2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800
2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800
2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400
2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400
2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000
2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000
2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000
2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000
2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600
2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200
2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000
2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400
2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800
2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400
2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600
2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200
2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200
2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400
2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400
2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200
2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400
2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000
2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400
2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000
2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000
2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000
2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400
2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600
2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000
2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800
2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200
2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000
2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600
2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800
2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400
2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400
2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800
2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600
2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000
2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600
2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600
2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200
2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200
2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000
2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200
2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200
2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400
2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400
2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200
2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400
2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400
2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400
2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600
2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200
2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600
2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200
2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800
2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800
2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600
2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400
2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000
2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800
2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200
2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400
2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600
2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800
2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000
2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000
2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000
2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600
2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800
2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200
2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800
2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200
2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600
2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600
2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600
2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200
2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200
2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600
2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800
2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600
2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200
2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200
2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200
2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800
2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000
2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600
2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200
2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000
2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600
2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200
2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800
2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400
2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400
2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000
2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800
2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800
2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200
2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800
2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000
2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200
2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200
2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200
2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000
2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600
2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000
2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400
2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200
2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400
2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400
2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000
2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800
2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600
2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200
2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000
2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000
2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800
2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400
2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800
2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400
2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400
2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000
2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600
2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200
2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800
2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600
2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200
2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200
2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000
2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400
2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400
2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600
2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000
2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800
2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800
2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000
2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600
2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000
2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000
2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000
2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600
2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000
2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400
2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000
2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800
2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400
2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000
2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600
2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800
2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200
2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800
2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800
2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600
2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800
2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000
2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600
2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400
2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000
2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400
2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600
2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000
2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600
2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800
2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800
2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000
2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400
2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800
2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200
2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200
2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600
2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200
2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600
2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800
2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200
2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600
2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400
2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800
2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000
2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400
2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200
2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000
2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800
2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600
2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200
2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000
2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400
2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400
2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800
2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000
2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600
2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000
2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400
2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000
2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800
2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000
2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600
2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600
2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800
2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800
2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400
2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800
2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400
2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400
2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400
2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200
2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600
2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000
2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800
2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800
2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000
2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200
2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400
2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400
2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400
2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200
2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800
2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600
2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000
2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800
2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000
2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400
2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000
2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800
2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200
2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200
2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400
2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400
2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400
2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400
2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400
2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600
2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600
2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800
2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200
2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000
2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400
2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800
2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000
2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800
2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000
2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400
2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200
2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000
2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200
2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600
2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200
2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200
2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400
2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400
2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600
2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600
2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200
2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600
2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800
2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800
2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200
2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800
2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200
2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200
2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000
2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600
2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400
2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400
2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000
2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800
2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600
2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400
2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800
2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000
2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600
2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400
2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800
2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600
2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800
2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800
2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600
2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400
2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400
2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600
2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800
2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800
2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200
2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000
2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200
2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400
2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600
2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400
2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400
2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600
2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200
2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800
2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000
2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600
2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000
2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600
2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400
2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100
2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800
2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900
2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900
2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700
2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100
2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200
2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000
2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900
2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100
2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100
2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100
2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800
2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700
2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600
2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900
2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800
2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200
2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200
2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900
2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700
2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900
2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000
2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800
2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700
2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400
2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400
2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600
2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700
2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000
2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800
2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200
2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200
2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100
2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400
2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300
2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900
2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600
2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700
2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600
2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900
2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300
2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700
2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000
2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300
2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300
2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500
2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300
2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400
2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300
2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500
2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200
2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700
2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300
2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700
2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800
2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200
2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500
2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000
2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200
2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700
2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700
2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300
2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300
2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400
2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600
2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800
2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300
2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500
2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700
2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400
2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400
2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100
2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000
2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500
2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700
2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700
2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100
2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700
2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700
2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200
2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200
2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800
2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500
2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400
2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600
2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900
2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100
2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000
2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200
2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500
2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800
2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100
2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600
2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800
2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200
2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700
2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900
2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300
2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100
2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400
2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000
2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700
2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700
2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400
2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000
2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300
2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600
2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500
2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400
2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600
2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900
2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000
2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200
2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300
2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700
2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100
2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200
2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500
2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900
2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400
2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500
2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300
2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100
2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500
2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800
2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400
2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100
2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200
2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100
2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100
2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100
2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000
2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600
2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100
2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000
2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200
2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900
2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100
2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100
2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800
2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500
2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900
2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500
2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900
2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800
2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700
2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700
2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600
2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500
2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500
2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300
2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900
2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400
2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500
2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700
2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500
2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800
2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000
2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200
2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700
2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600
2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800
2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300
2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100
2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300
2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300
2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800
2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900
2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700
2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500
2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700
2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600
2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200
2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100
2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000
2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400
2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400
2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500
2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800
2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700
2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200
2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600
2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200
2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400
2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200
2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900
2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500
2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100
2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400
2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800
2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300
2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900
2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200
2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500
2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100
2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600
2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100
2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300
2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900
2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400
2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500
2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200
2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100
2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800
2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200
2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300
2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400
2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200
2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800
2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000
2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800
2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000
2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200
2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400
2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400
2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600
2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100
2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000
2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400
2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700
2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900
2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000
2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400
2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300
2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900
2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000
2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000
2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300
2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500
2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900
2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100
2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300
2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500
2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200
2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500
2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400
2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600
2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800
2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600
2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200
2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300
2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300
2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100
2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500
2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800
2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900
2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300
2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200
2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700
2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000
2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100
2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700
2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900
2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900
2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400
2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000
2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100
2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900
2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200
2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300
2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100
2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700
2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600
2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300
2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800
2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700
2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300
2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000
2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300
2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100
2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100
2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900
2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300
2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200
2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900
2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700
2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800
2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200
2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200
2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100
2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700
2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200
2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700
2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200
2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900
2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500
2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600
2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700
2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700
2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300
2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400
2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000
2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800
2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500
2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200
2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200
2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300
2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500
2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300
2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500
2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500
2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600
2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200
2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500
2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600
2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100
2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100
2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900
2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600
2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400
2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800
2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200
2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400
2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900
2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900
2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100
2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500
2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100
2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700
2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200
2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400
2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400
2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700
2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500
2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900
2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400
2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600
2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000
2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500
2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500
2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000
2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300
2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300
2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400
2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900
2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300
2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600
2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400
2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800
2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300
2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900
2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900
2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000
2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400
2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700
2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200
2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900
2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800
2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100
2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000
2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500
2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000
2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000
2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100
2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200
2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800
2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700
2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600
2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600
2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200
2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600
2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300
2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000
2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000
2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400
2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900
2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100
2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600
2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000
2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800
2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100
2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100
2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200
2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800
2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100
2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700
2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400
2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600
2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400
2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400
2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500
2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600
2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600
2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000
2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600
2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500
2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500
2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000
2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000
2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900
2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200
2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700
2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600
2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400
2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400
2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800
2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900
2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600
2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900
2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300
2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700
2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200
2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800
2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000
2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700
2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500
2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900
2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300
2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200
2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900
2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900
2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600
2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000
2006-01-03,39.689999,41.220001,38.790001,40.910000,40.910000,24227700
2006-01-04,41.220001,41.900002,40.770000,40.970001,40.970001,20549000
2006-01-05,40.930000,41.730000,40.849998,41.529999,41.529999,12829100
2006-01-06,42.880001,43.570000,42.799999,43.209999,43.209999,29418400
2006-01-09,43.099998,43.660000,42.820000,43.419998,43.419998,16266900
2006-01-10,42.959999,43.340000,42.340000,42.980000,42.980000,16287200
2006-01-11,42.189999,42.310001,41.720001,41.869999,41.869999,26191400
2006-01-12,41.919998,41.990002,40.759998,40.889999,40.889999,18921700
2006-01-13,41.000000,41.080002,39.619999,39.900002,39.900002,30960800
2006-01-17,39.090000,40.389999,38.959999,40.110001,40.110001,41797000
2006-01-18,35.009998,36.160000,34.740002,35.180000,35.180000,118556100
2006-01-19,35.820000,35.840000,34.240002,34.330002,34.330002,60913000
2006-01-20,34.439999,34.660000,33.209999,33.740002,33.740002,57644600
2006-01-23,34.220001,34.400002,33.980000,34.169998,34.169998,30887600
2006-01-24,34.549999,35.200001,34.509998,34.869999,34.869999,31667800
2006-01-25,35.430000,35.480000,34.380001,34.490002,34.490002,23779200
2006-01-26,34.939999,35.250000,34.490002,35.169998,35.169998,28471400
2006-01-27,35.259998,35.270000,34.660000,35.090000,35.090000,24317400
2006-01-30,35.090000,35.230000,34.880001,35.049999,35.049999,29030600
2006-01-31,35.200001,35.200001,34.310001,34.380001,34.380001,36538000
2006-02-01,34.450001,35.000000,34.349998,35.000000,35.000000,43600400
2006-02-02,35.009998,35.099998,34.099998,34.250000,34.250000,18323500
2006-02-03,34.000000,34.049999,33.259998,33.540001,33.540001,32639600
2006-02-06,33.900002,33.950001,32.779999,32.919998,32.919998,23523100
2006-02-07,33.009998,33.099998,32.320000,33.020000,33.020000,37236800
2006-02-08,33.240002,33.400002,32.509998,33.000000,33.000000,28112900
2006-02-09,33.009998,33.360001,32.400002,32.500000,32.500000,25335200
2006-02-10,32.580002,32.599998,32.099998,32.509998,32.509998,19628600
2006-02-13,32.209999,32.439999,31.700001,32.040001,32.040001,26139300
2006-02-14,32.139999,32.830002,32.049999,32.720001,32.720001,26198600
2006-02-15,32.619999,33.330002,32.549999,33.020000,33.020000,19542100
2006-02-16,33.299999,33.400002,32.599998,32.750000,32.750000,19500100
2006-02-17,32.880001,33.139999,32.709999,32.759998,32.759998,12620200
2006-02-21,32.900002,33.070000,32.380001,32.389999,32.389999,14328100
2006-02-22,32.490002,33.340000,32.400002,33.160000,33.160000,18433500
2006-02-23,33.009998,33.660000,32.880001,33.150002,33.150002,14947600
2006-02-24,33.200001,33.340000,32.919998,33.009998,33.009998,10136400
2006-02-27,33.110001,33.209999,32.570000,32.740002,32.740002,11821900
2006-02-28,32.630001,32.980000,31.340000,32.060001,32.060001,39926200
2006-03-01,32.209999,32.419998,31.719999,32.180000,32.180000,18466100
2006-03-02,32.009998,32.110001,31.580000,31.700001,31.700001,23487300
2006-03-03,31.700001,32.070000,31.379999,31.450001,31.450001,23196000
2006-03-06,31.530001,31.940001,31.450001,31.570000,31.570000,17211200
2006-03-07,31.420000,32.200001,31.309999,31.430000,31.430000,23365100
2006-03-08,31.309999,31.549999,30.820000,30.990000,30.990000,20910200
2006-03-09,31.049999,31.320000,30.250000,30.280001,30.280001,18277000
2006-03-10,30.400000,31.100000,29.750000,30.580000,30.580000,28991400
2006-03-13,30.719999,30.969999,30.120001,30.150000,30.150000,18437700
2006-03-14,30.100000,31.000000,30.100000,30.990000,30.990000,19294700
2006-03-15,31.250000,31.280001,30.469999,30.530001,30.530001,20758000
2006-03-16,30.770000,30.879999,30.100000,30.129999,30.129999,17108000
2006-03-17,30.350000,30.360001,29.830000,30.070000,30.070000,23629700
2006-03-20,30.379999,30.930000,30.200001,30.440001,30.440001,21455200
2006-03-21,30.110001,30.780001,30.020000,30.110001,30.110001,18876400
2006-03-22,30.330000,30.910000,30.309999,30.750000,30.750000,23147400
2006-03-23,31.520000,31.950001,31.480000,31.830000,31.830000,33834000
2006-03-24,32.279999,32.310001,31.530001,31.770000,31.770000,17816500
2006-03-27,31.840000,32.080002,31.299999,31.450001,31.450001,14858500
2006-03-28,31.450001,32.500000,31.410000,32.389999,32.389999,25981500
2006-03-29,32.439999,32.910000,32.139999,32.560001,32.560001,25508200
2006-03-30,32.750000,32.830002,32.090000,32.419998,32.419998,14314000
2006-03-31,32.450001,32.630001,32.009998,32.259998,32.259998,12677300
2006-04-03,32.410000,32.529999,31.790001,31.889999,31.889999,14887900
2006-04-04,31.690001,32.250000,31.660000,32.099998,32.099998,16232700
2006-04-05,32.299999,32.500000,31.959999,32.110001,32.110001,11982500
2006-04-06,32.119999,33.139999,32.110001,32.790001,32.790001,21572600
2006-04-07,32.849998,32.970001,32.209999,32.270000,32.270000,12980200
2006-04-10,32.279999,32.630001,32.119999,32.549999,32.549999,9618000
2006-04-11,32.450001,32.599998,31.150000,31.389999,31.389999,22105600
2006-04-12,31.440001,31.500000,30.889999,31.100000,31.100000,14926900
2006-04-13,31.139999,31.400000,30.850000,31.129999,31.129999,15609800
2006-04-17,31.160000,31.790001,30.660000,30.969999,30.969999,18239900
2006-04-18,31.170000,31.379999,30.530001,31.299999,31.299999,38604500
2006-04-19,33.470001,33.980000,32.759998,33.540001,33.540001,77253600
2006-04-20,33.480000,33.700001,32.930000,33.369999,33.369999,23403900
2006-04-21,33.360001,34.090000,32.700001,32.889999,32.889999,25215000
2006-04-24,33.009998,33.450001,32.900002,33.009998,33.009998,15441600
2006-04-25,32.990002,33.060001,31.879999,31.990000,31.990000,22363200
2006-04-26,32.299999,33.090000,32.099998,33.000000,33.000000,24426400
2006-04-27,32.790001,33.500000,32.400002,33.200001,33.200001,19635700
2006-04-28,32.880001,33.450001,32.779999,32.779999,32.779999,13283500
2006-05-01,32.990002,33.099998,31.860001,32.080002,32.080002,19752200
2006-05-02,32.200001,32.910000,31.719999,31.850000,31.850000,16276000
2006-05-03,32.400002,33.000000,31.750000,32.169998,32.169998,23292600
2006-05-04,32.400002,32.560001,32.080002,32.189999,32.189999,10402300
2006-05-05,32.630001,32.750000,32.220001,32.660000,32.660000,14689200
2006-05-08,33.090000,33.430000,32.630001,32.869999,32.869999,18188200
2006-05-09,32.680000,34.000000,32.349998,32.490002,32.490002,13396400
2006-05-10,32.480000,32.560001,32.000000,32.090000,32.090000,13797500
2006-05-11,31.959999,32.169998,30.870001,30.990000,30.990000,24277000
2006-05-12,30.709999,31.180000,30.379999,30.809999,30.809999,16745600
2006-05-15,30.850000,31.250000,30.600000,31.030001,31.030001,13350700
2006-05-16,31.100000,31.219999,30.629999,30.969999,30.969999,15333700
2006-05-17,30.610001,31.260000,30.040001,30.110001,30.110001,39847500
2006-05-18,30.100000,30.360001,28.930000,29.000000,29.000000,38254000
2006-05-19,29.049999,29.750000,28.600000,29.530001,29.530001,33121900
2006-05-22,30.420000,30.980000,29.889999,30.459999,30.459999,35089300
2006-05-23,31.040001,31.629999,30.760000,30.760000,30.760000,28583400
2006-05-24,30.950001,32.020000,30.709999,31.790001,31.790001,27286300
2006-05-25,32.939999,33.500000,32.500000,32.919998,32.919998,34732700
2006-05-26,32.860001,33.020000,32.349998,33.020000,33.020000,13842600
2006-05-30,32.730000,32.889999,31.790001,32.000000,32.000000,16247600
2006-05-31,32.189999,32.320000,31.110001,31.590000,31.590000,21306700
2006-06-01,31.830000,32.000000,31.490000,31.990000,31.990000,16652400
2006-06-02,32.110001,32.189999,31.299999,31.520000,31.520000,16470900
2006-06-05,31.190001,31.430000,30.790001,30.820000,30.820000,17188500
2006-06-06,30.830000,30.969999,30.350000,30.700001,30.700001,15615600
2006-06-07,30.799999,31.250000,30.360001,30.540001,30.540001,17470100
2006-06-08,30.430000,30.990000,29.830000,30.450001,30.450001,20538600
2006-06-09,30.700001,30.799999,30.230000,30.370001,30.370001,10044700
2006-06-12,30.370001,30.650000,29.660000,29.780001,29.780001,14344600
2006-06-13,29.770000,30.200001,29.510000,29.650000,29.650000,16435700
2006-06-14,29.809999,30.000000,29.250000,29.620001,29.620001,19257500
2006-06-15,29.980000,30.959999,29.719999,30.790001,30.790001,22375000
2006-06-16,30.700001,30.860001,30.150000,30.360001,30.360001,12951700
2006-06-19,30.510000,30.750000,30.059999,30.350000,30.350000,12236700
2006-06-20,30.420000,30.650000,30.100000,30.600000,30.600000,12613200
2006-06-21,30.770000,31.540001,30.650000,31.059999,31.059999,18252900
2006-06-22,30.850000,31.160000,30.440001,30.680000,30.680000,11500300
2006-06-23,31.080000,31.760000,30.820000,31.370001,31.370001,17378500
2006-06-26,31.450001,31.700001,31.160000,31.549999,31.549999,11457000
2006-06-27,31.850000,32.220001,31.320000,31.510000,31.510000,16589400
2006-06-28,31.750000,32.169998,31.700001,31.920000,31.920000,14032800
2006-06-29,32.259998,33.000000,32.200001,32.970001,32.970001,15745900
2006-06-30,33.009998,33.119999,32.540001,33.000000,33.000000,22566600
2006-07-03,32.900002,33.439999,32.900002,33.299999,33.299999,8067100
2006-07-05,32.849998,32.990002,32.330002,32.470001,32.470001,13453900
2006-07-06,32.770000,33.220001,32.700001,33.110001,33.110001,13801500
2006-07-07,32.939999,33.049999,32.369999,32.500000,32.500000,12372500
2006-07-10,32.910000,33.139999,32.730000,32.849998,32.849998,15317600
2006-07-11,32.790001,33.349998,32.320000,33.169998,33.169998,11285900
2006-07-12,33.029999,33.740002,32.990002,33.380001,33.380001,18708400
2006-07-13,32.849998,33.160000,32.070000,32.230000,32.230000,19463500
2006-07-14,32.340000,32.480000,31.850000,32.080002,32.080002,12484700
2006-07-17,31.980000,32.400002,31.690001,31.840000,31.840000,16369600
2006-07-18,32.080002,32.259998,31.250000,32.240002,32.240002,39767700
2006-07-19,26.410000,26.700001,25.040001,25.200001,25.200001,204339000
2006-07-20,25.549999,26.209999,24.910000,25.270000,25.270000,54659700
2006-07-21,24.990000,26.059999,24.910000,25.889999,25.889999,36187100
2006-07-24,26.240000,27.230000,25.889999,26.940001,26.940001,42631300
2006-07-25,26.750000,27.190001,26.570000,26.950001,26.950001,21388800
2006-07-26,26.780001,27.510000,26.570000,27.080000,27.080000,20073800
2006-07-27,27.350000,27.500000,26.639999,26.700001,26.700001,25153000
2006-07-28,26.900000,27.500000,26.330000,27.469999,27.469999,21584800
2006-07-31,27.459999,27.549999,26.990000,27.139999,27.139999,16492600
2006-08-01,27.059999,27.120001,26.740000,26.940001,26.940001,18613100
2006-08-02,27.010000,27.100000,26.450001,26.629999,26.629999,18116200
2006-08-03,26.500000,27.049999,26.400000,26.900000,26.900000,15468500
2006-08-04,27.200001,27.580000,26.830000,26.990000,26.990000,11607900
2006-08-07,26.920000,27.110001,26.580000,27.080000,27.080000,12847200
2006-08-08,26.950001,27.700001,26.629999,27.440001,27.440001,19332800
2006-08-09,27.750000,27.850000,27.000000,27.219999,27.219999,14736100
2006-08-10,26.950001,27.799999,26.850000,27.490000,27.490000,12597900
2006-08-11,27.520000,27.719999,27.400000,27.500000,27.500000,9252200
2006-08-14,27.709999,27.799999,27.000000,27.260000,27.260000,10640100
2006-08-15,27.580000,28.200001,27.480000,28.170000,28.170000,15298500
2006-08-16,28.350000,28.459999,27.969999,28.389999,28.389999,12589400
2006-08-17,28.379999,29.320000,28.340000,28.910000,28.910000,17251600
2006-08-18,28.900000,29.969999,28.770000,29.780001,29.780001,19611300
2006-08-21,29.219999,29.520000,28.830000,28.900000,28.900000,11575200
2006-08-22,28.840000,29.650000,28.799999,29.260000,29.260000,10891800
2006-08-23,29.340000,29.469999,28.680000,28.700001,28.700001,8837400
2006-08-24,28.750000,29.129999,28.700001,28.990000,28.990000,8983600
2006-08-25,28.950001,29.280001,28.740000,28.770000,28.770000,6203800
2006-08-28,28.750000,29.250000,28.700001,28.910000,28.910000,10404700
2006-08-29,28.860001,29.010000,28.510000,28.959999,28.959999,9888800
2006-08-30,29.000000,29.139999,28.709999,29.020000,29.020000,13119300
2006-08-31,28.990000,29.020000,28.590000,28.830000,28.830000,8879300
2006-09-01,28.910000,29.530001,28.910000,29.490000,29.490000,11573600
2006-09-05,29.450001,29.480000,28.950001,29.070000,29.070000,11425600
2006-09-06,28.940001,29.010000,28.490000,28.500000,28.500000,12800600
2006-09-07,28.400000,28.510000,27.820000,27.860001,27.860001,18434400
2006-09-08,28.040001,28.320000,27.969999,28.139999,28.139999,9781800
2006-09-11,28.049999,28.730000,27.670000,28.610001,28.610001,12936000
2006-09-12,28.549999,29.219999,28.459999,29.090000,29.090000,10005000
2006-09-13,29.059999,29.370001,28.799999,29.170000,29.170000,15248400
2006-09-14,29.100000,29.240000,28.889999,29.030001,29.030001,9565500
2006-09-15,29.299999,29.570000,29.219999,29.320000,29.320000,19550300
2006-09-18,29.370001,29.389999,28.580000,29.000000,29.000000,15685000
2006-09-19,29.090000,29.129999,25.100000,25.750000,25.750000,127718600
2006-09-20,26.040001,26.090000,25.379999,25.639999,25.639999,55636600
2006-09-21,25.530001,25.950001,25.209999,25.340000,25.340000,28584500
2006-09-22,25.340000,25.690001,25.180000,25.520000,25.520000,20667400
2006-09-25,25.639999,25.870001,25.200001,25.290001,25.290001,19992400
2006-09-26,25.440001,25.480000,24.809999,25.049999,25.049999,34950100
2006-09-27,25.000000,25.010000,24.600000,24.650000,24.650000,29835900
2006-09-28,24.870001,25.500000,24.840000,25.330000,25.330000,35331200
2006-09-29,25.500000,25.590000,25.240000,25.280001,25.280001,18982600
2006-10-02,25.450001,25.459999,24.750000,24.879999,24.879999,19641300
2006-10-03,24.809999,25.000000,24.700001,24.840000,24.840000,21148300
2006-10-04,24.889999,25.260000,24.740000,25.209999,25.209999,21717900
2006-10-05,25.160000,25.250000,24.879999,25.180000,25.180000,17634000
2006-10-06,25.090000,25.500000,25.010000,25.469999,25.469999,20847000
2006-10-09,25.450001,25.719999,25.000000,25.030001,25.030001,15729500
2006-10-10,24.940001,25.030001,24.320000,24.469999,24.469999,30371900
2006-10-11,24.290001,24.639999,23.799999,24.240000,24.240000,39356300
2006-10-12,24.320000,24.379999,24.100000,24.120001,24.120001,25824500
2006-10-13,23.900000,24.500000,23.570000,24.420000,24.420000,51338900
2006-10-16,24.340000,24.520000,23.750000,24.180000,24.180000,36496400
2006-10-17,23.740000,24.350000,23.680000,24.150000,24.150000,67417200
2006-10-18,24.570000,24.750000,22.879999,22.990000,22.990000,111660900
2006-10-19,23.020000,23.590000,23.000000,23.139999,23.139999,42280400
2006-10-20,23.219999,23.270000,22.650000,23.209999,23.209999,49795600
2006-10-23,23.139999,23.500000,23.100000,23.370001,23.370001,26301200
2006-10-24,23.350000,23.639999,23.150000,23.530001,23.530001,31704000
2006-10-25,23.730000,24.639999,23.690001,24.490000,24.490000,40110600
2006-10-26,24.700001,25.330000,24.360001,25.280001,25.280001,38435800
2006-10-27,25.230000,25.600000,24.900000,25.340000,25.340000,29647200
2006-10-30,25.870001,26.400000,25.660000,25.950001,25.950001,35295800
2006-10-31,26.440001,26.700001,26.100000,26.340000,26.340000,33492800
2006-11-01,26.500000,26.620001,25.820000,25.990000,25.990000,26300200
2006-11-02,25.940001,26.600000,25.770000,26.530001,26.530001,34824500
2006-11-03,26.629999,26.700001,26.040001,26.180000,26.180000,15313800
2006-11-06,26.340000,26.700001,26.100000,26.590000,26.590000,22563600
2006-11-07,26.690001,27.150000,26.580000,26.610001,26.610001,28442700
2006-11-08,26.360001,27.250000,26.309999,26.900000,26.900000,23384800
2006-11-09,27.180000,27.650000,26.959999,27.450001,27.450001,27428600
2006-11-10,27.400000,27.500000,27.030001,27.389999,27.389999,21366600
2006-11-13,27.170000,27.620001,27.150000,27.400000,27.400000,16876500
2006-11-14,27.400000,27.500000,27.110001,27.240000,27.240000,20145700
2006-11-15,27.180000,27.500000,27.030001,27.150000,27.150000,22112700
2006-11-16,27.309999,27.330000,26.200001,26.639999,26.639999,38508500
2006-11-17,26.680000,27.049999,26.629999,26.910000,26.910000,17955200
2006-11-20,26.959999,27.040001,26.629999,26.719999,26.719999,20272000
2006-11-21,26.500000,27.340000,26.500000,27.139999,27.139999,21138300
2006-11-22,27.510000,28.559999,27.290001,28.490000,28.490000,32055800
2006-11-24,28.219999,28.490000,27.700001,28.030001,28.030001,9384400
2006-11-27,27.500000,28.500000,27.170000,27.270000,27.270000,19922300
2006-11-28,27.030001,27.240000,26.850000,27.000000,27.000000,14940800
2006-11-29,27.400000,27.400000,26.709999,27.040001,27.040001,19375100
2006-11-30,27.000000,27.150000,26.730000,27.010000,27.010000,14916300
2006-12-01,27.000000,27.250000,26.000000,26.490000,26.490000,20055800
2006-12-04,26.490000,27.299999,26.490000,26.889999,26.889999,28012700
2006-12-05,26.870001,27.610001,26.860001,27.430000,27.430000,27118200
2006-12-06,27.250000,27.450001,26.600000,26.860001,26.860001,35202800
2006-12-07,26.950001,27.160000,26.600000,26.629999,26.629999,22407000
2006-12-08,26.650000,26.780001,26.270000,26.340000,26.340000,19262200
2006-12-11,26.370001,26.700001,26.120001,26.490000,26.490000,12916900
2006-12-12,26.629999,27.379999,26.600000,26.750000,26.750000,31971600
2006-12-13,27.049999,27.230000,26.510000,26.600000,26.600000,20428600
2006-12-14,26.629999,26.969999,26.500000,26.870001,26.870001,14400300
2006-12-15,27.000000,27.219999,26.760000,26.900000,26.900000,27227300
2006-12-18,26.889999,26.969999,26.070000,26.299999,26.299999,19431200
2006-12-19,26.049999,26.500000,25.910000,26.410000,26.410000,18973800
2006-12-20,26.240000,26.309999,25.540001,25.590000,25.590000,24905600
2006-12-21,25.709999,25.750000,25.129999,25.480000,25.480000,27050600
2006-12-22,25.670000,25.879999,25.450001,25.549999,25.549999,14666100
2006-12-26,25.490000,25.610001,25.340000,25.450001,25.450001,8400500
2006-12-27,25.469999,25.879999,25.450001,25.750000,25.750000,12421800
2006-12-28,25.620001,25.719999,25.299999,25.360001,25.360001,11908400
2006-12-29,25.420000,25.820000,25.330000,25.540001,25.540001,16297800
2007-01-03,25.850000,26.260000,25.260000,25.610001,25.610001,26352700
2007-01-04,25.639999,26.920000,25.520000,26.850000,26.850000,32512200
2007-01-05,26.700001,27.870001,26.660000,27.740000,27.740000,64264600
2007-01-08,27.700001,28.040001,27.430000,27.920000,27.920000,25713700
2007-01-09,28.000000,28.049999,27.410000,27.580000,27.580000,25621500
2007-01-10,27.480000,28.920000,27.440001,28.700001,28.700001,40240000
2007-01-11,28.760000,29.370001,28.700001,29.200001,29.200001,28457500
2007-01-12,28.980000,29.500000,28.490000,29.450001,29.450001,20971100
2007-01-16,29.879999,29.879999,28.790001,29.290001,29.290001,24448400
2007-01-17,29.400000,29.400000,28.809999,29.049999,29.049999,17796100
2007-01-18,28.920000,28.990000,27.820000,28.120001,28.120001,23869400
2007-01-19,27.930000,28.340000,27.549999,27.639999,27.639999,24757700
2007-01-22,27.850000,27.900000,27.180000,27.420000,27.420000,23199800
2007-01-23,27.420000,27.540001,26.879999,26.959999,26.959999,43728100
2007-01-24,28.340000,29.200001,28.219999,28.940001,28.940001,81017500
2007-01-25,28.680000,29.049999,28.129999,28.209999,28.209999,28356200
2007-01-26,28.330000,28.520000,27.959999,28.040001,28.040001,21334800
2007-01-29,28.049999,28.209999,27.730000,27.870001,27.870001,16859000
2007-01-30,27.870001,28.389999,27.610001,28.040001,28.040001,13576600
2007-01-31,28.040001,28.480000,27.820000,28.309999,28.309999,14100300
2007-02-01,28.680000,28.709999,28.150000,28.350000,28.350000,17905200
2007-02-02,28.570000,28.920000,28.450001,28.770000,28.770000,16483100
2007-02-05,28.670000,28.799999,28.360001,28.559999,28.559999,11163300
2007-02-06,28.610001,29.559999,28.600000,29.350000,29.350000,24506800
2007-02-07,29.350000,30.150000,29.120001,29.889999,29.889999,29162600
2007-02-08,29.750000,30.240000,29.730000,30.080000,30.080000,15561700
2007-02-09,30.070000,30.160000,29.510000,29.740000,29.740000,18172200
2007-02-12,29.290001,29.770000,29.049999,29.170000,29.170000,18316200
2007-02-13,29.370001,29.680000,29.260000,29.559999,29.559999,12802300
2007-02-14,29.690001,30.860001,29.639999,30.660000,30.660000,30821100
2007-02-15,30.820000,31.650000,30.690001,31.250000,31.250000,28160300
2007-02-16,31.000000,32.000000,31.000000,31.910000,31.910000,36774800
2007-02-20,31.799999,32.209999,31.389999,32.009998,32.009998,20026500
2007-02-21,31.740000,31.770000,31.219999,31.650000,31.650000,27999200
2007-02-22,31.600000,32.080002,31.320000,31.600000,31.600000,15485100
2007-02-23,31.600000,32.180000,31.410000,32.099998,32.099998,21533500
2007-02-26,32.799999,32.840000,30.850000,32.110001,32.110001,28295200
2007-02-27,31.379999,31.639999,30.240000,30.950001,30.950001,31505200
2007-02-28,30.860001,31.469999,30.090000,30.860001,30.860001,30487800
2007-03-01,30.129999,31.230000,30.000000,30.860001,30.860001,24012900
2007-03-02,30.540001,30.889999,30.280001,30.420000,30.420000,18136600
2007-03-05,30.180000,31.900000,30.139999,30.309999,30.309999,21469000
2007-03-06,30.889999,31.059999,30.520000,30.799999,30.799999,33472600
2007-03-07,30.950001,31.030001,30.330000,30.389999,30.389999,16014300
2007-03-08,30.820000,31.040001,30.580000,30.709999,30.709999,13715100
2007-03-09,29.850000,30.150000,28.790001,29.120001,29.120001,72749900
2007-03-12,29.299999,30.110001,29.290001,29.990000,29.990000,35991600
2007-03-13,29.770000,30.240000,29.420000,29.559999,29.559999,18263800
2007-03-14,29.629999,30.040001,29.260000,29.860001,29.860001,23604900
2007-03-15,29.809999,30.070000,29.780001,30.059999,30.059999,15440900
2007-03-16,30.020000,30.110001,29.719999,29.879999,29.879999,19799300
2007-03-19,30.000000,30.190001,29.920000,30.030001,30.030001,9983800
2007-03-20,30.000000,30.350000,29.940001,30.330000,30.330000,12203800
2007-03-21,30.330000,31.389999,30.209999,31.290001,31.290001,26667300
2007-03-22,31.360001,31.440001,30.850000,31.260000,31.260000,12989800
2007-03-23,31.330000,31.700001,31.160000,31.360001,31.360001,12727900
2007-03-26,31.250000,31.740000,31.240000,31.660000,31.660000,12907000
2007-03-27,31.559999,31.660000,31.240000,31.549999,31.549999,9403100
2007-03-28,31.450001,31.700001,31.250000,31.410000,31.410000,13162500
2007-03-29,31.709999,31.730000,30.830000,31.340000,31.340000,13815000
2007-03-30,31.209999,31.600000,31.020000,31.290001,31.290001,9425000
2007-04-02,31.219999,31.400000,30.930000,31.280001,31.280001,8668800
2007-04-03,31.410000,32.000000,31.410000,31.719999,31.719999,12324600
2007-04-04,31.610001,31.870001,31.480000,31.620001,31.620001,7836200
2007-04-05,32.000000,32.090000,31.719999,31.959999,31.959999,13878100
2007-04-09,32.009998,32.240002,31.600000,31.639999,31.639999,12408000
2007-04-10,31.639999,32.020000,31.600000,31.690001,31.690001,12797600
2007-04-11,31.650000,31.730000,30.900000,31.170000,31.170000,16141100
2007-04-12,31.260000,31.420000,31.100000,31.209999,31.209999,13904800
2007-04-13,31.150000,31.500000,30.959999,31.410000,31.410000,12006300
2007-04-16,31.680000,31.790001,31.240000,31.610001,31.610001,14359100
2007-04-17,31.980000,32.139999,31.709999,32.090000,32.090000,43223800
2007-04-18,28.420000,28.900000,27.889999,28.309999,28.309999,127875300
2007-04-19,28.100000,28.230000,27.459999,27.510000,27.510000,45664700
2007-04-20,27.860001,27.860001,27.370001,27.459999,27.459999,39123300
2007-04-23,27.530001,28.139999,27.370001,27.879999,27.879999,27262400
2007-04-24,28.030001,28.260000,27.690001,28.020000,28.020000,25964000
2007-04-25,28.219999,28.270000,27.680000,28.059999,28.059999,35568600
2007-04-26,27.980000,28.650000,27.730000,28.490000,28.490000,32331000
2007-04-27,28.350000,28.860001,28.170000,28.340000,28.340000,21097000
2007-04-30,28.320000,28.500000,28.000000,28.040001,28.040001,17596300
2007-05-01,28.250000,28.350000,27.530001,27.730000,27.730000,18310900
2007-05-02,27.719999,28.260000,27.719999,28.120001,28.120001,16911800
2007-05-03,28.250000,28.500000,28.010000,28.180000,28.180000,20119500
2007-05-04,33.270000,33.610001,29.580000,30.980000,30.980000,245611400
2007-05-07,30.129999,30.980000,29.860001,30.379999,30.379999,41243900
2007-05-08,30.240000,31.100000,30.209999,30.410000,30.410000,28018200
2007-05-09,30.170000,30.440001,29.950001,30.219999,30.219999,23533100
2007-05-10,30.520000,30.690001,29.610001,29.700001,29.700001,26570200
2007-05-11,29.620001,30.080000,29.530001,30.049999,30.049999,13838800
2007-05-14,29.790001,30.000000,29.080000,29.309999,29.309999,20895900
2007-05-15,29.160000,29.420000,28.750000,28.809999,28.809999,22226800
2007-05-16,28.889999,29.370001,28.250000,29.209999,29.209999,32944800
2007-05-17,28.990000,29.129999,28.490000,28.570000,28.570000,23535000
2007-05-18,28.900000,29.799999,28.780001,29.750000,29.750000,35487200
2007-05-21,29.620001,29.860001,29.320000,29.350000,29.350000,18955900
2007-05-22,29.330000,29.350000,28.780001,28.920000,28.920000,19131300
2007-05-23,29.100000,29.370001,28.530001,28.610001,28.610001,27964400
2007-05-24,28.650000,28.879999,28.250000,28.410000,28.410000,19122900
2007-05-25,28.440001,28.730000,28.340000,28.580000,28.580000,10334600
2007-05-29,28.360001,28.730000,28.200001,28.400000,28.400000,13981500
2007-05-30,28.190001,28.379999,28.000000,28.379999,28.379999,16046800
2007-05-31,28.760000,28.850000,28.490000,28.700001,28.700001,15859100
2007-06-01,28.900000,29.129999,28.610001,28.780001,28.780001,12398800
2007-06-04,28.600000,28.780001,28.400000,28.590000,28.590000,13428800
2007-06-05,28.400000,28.590000,28.100000,28.230000,28.230000,20494800
2007-06-06,28.049999,28.110001,27.299999,27.440001,27.440001,33508200
2007-06-07,27.340000,27.730000,26.980000,26.980000,26.980000,34232300
2007-06-08,27.020000,27.450001,26.959999,27.389999,27.389999,18618500
2007-06-11,27.270000,27.520000,27.150000,27.350000,27.350000,14856500
2007-06-12,27.299999,27.660000,26.980000,27.049999,27.049999,22203600
2007-06-13,27.120001,27.410000,26.610001,27.379999,27.379999,31210700
2007-06-14,27.379999,27.639999,27.150000,27.299999,27.299999,18919400
2007-06-15,27.490000,27.520000,27.190001,27.309999,27.309999,23816900
2007-06-18,27.719999,28.340000,27.500000,28.120001,28.120001,70919400
2007-06-19,29.400000,29.400000,27.540001,27.629999,27.629999,65967500
2007-06-20,27.889999,28.170000,27.660000,27.660000,27.660000,33496400
2007-06-21,27.690001,27.940001,27.549999,27.670000,27.670000,17885800
2007-06-22,27.680000,27.790001,27.309999,27.379999,27.379999,33796900
2007-06-25,27.600000,27.770000,27.340000,27.639999,27.639999,21232200
2007-06-26,27.730000,28.180000,27.360001,27.709999,27.709999,25324000
2007-06-27,27.510000,27.660000,27.400000,27.580000,27.580000,13997000
2007-06-28,27.440001,27.490000,27.120001,27.250000,27.250000,17124500
2007-06-29,27.209999,27.379999,26.930000,27.129999,27.129999,13842500
2007-07-02,27.190001,27.270000,26.760000,26.860001,26.860001,21011000
2007-07-03,26.950001,27.250000,26.900000,27.000000,27.000000,11643400
2007-07-05,26.920000,27.139999,26.900000,26.990000,26.990000,16071900
2007-07-06,27.010000,27.139999,26.930000,27.100000,27.100000,12284500
2007-07-09,26.920000,27.330000,26.820000,27.200001,27.200001,17515800
2007-07-10,27.090000,27.570000,26.959999,26.969999,26.969999,24635500
2007-07-11,27.030001,27.049999,26.549999,26.690001,26.690001,21970700
2007-07-12,26.700001,26.969999,26.340000,26.959999,26.959999,20082300
2007-07-13,26.870001,26.969999,26.500000,26.580000,26.580000,18522700
2007-07-16,26.480000,26.740000,26.129999,26.700001,26.700001,30804500
2007-07-17,26.740000,27.799999,26.700001,27.530001,27.530001,53656100
2007-07-18,26.070000,26.719999,26.020000,26.200001,26.200001,65125900
2007-07-19,26.320000,26.340000,25.920000,26.030001,26.030001,29537900
2007-07-20,25.700001,25.889999,25.200001,25.350000,25.350000,38056100
2007-07-23,25.430000,25.459999,24.980000,24.990000,24.990000,26631500
2007-07-24,24.799999,25.340000,24.730000,24.840000,24.840000,28981000
2007-07-25,25.010000,25.320000,24.590000,24.680000,24.680000,21882400
2007-07-26,24.400000,24.490000,23.620001,24.030001,24.030001,33373300
2007-07-27,23.980000,24.490000,23.469999,23.490000,23.490000,35783800
2007-07-30,23.549999,23.879999,23.379999,23.620001,23.620001,20976600
2007-07-31,23.879999,23.930000,23.240000,23.250000,23.250000,21575800
2007-08-01,23.170000,23.400000,22.850000,23.250000,23.250000,22030400
2007-08-02,22.650000,23.700001,22.650000,23.360001,23.360001,21098900
2007-08-03,23.200001,23.389999,22.870001,22.920000,22.920000,19702100
2007-08-06,23.030001,23.150000,22.440001,22.969999,22.969999,28948000
2007-08-07,22.750000,23.700001,22.690001,23.440001,23.440001,20075300
2007-08-08,23.459999,23.870001,23.430000,23.870001,23.870001,17198000
2007-08-09,23.670000,24.450001,23.510000,23.799999,23.799999,24052500
2007-08-10,23.930000,24.219999,23.520000,23.940001,23.940001,22939800
2007-08-13,24.209999,24.740000,24.010000,24.570000,24.570000,21317600
2007-08-14,24.690001,24.700001,23.690001,23.719999,23.719999,18707100
2007-08-15,23.559999,24.000000,23.250000,23.320000,23.320000,18767700
2007-08-16,23.000000,23.150000,22.500000,22.760000,22.760000,29652200
2007-08-17,23.260000,23.629999,22.760000,23.540001,23.540001,19528200
2007-08-20,23.639999,23.740000,23.180000,23.340000,23.340000,13338900
2007-08-21,23.250000,23.480000,22.910000,23.040001,23.040001,25962900
2007-08-22,23.219999,23.520000,23.180000,23.230000,23.230000,18763700
2007-08-23,23.350000,23.360001,22.950001,23.129999,23.129999,15603000
2007-08-24,23.030001,23.730000,23.030001,23.590000,23.590000,11191100
2007-08-27,23.590000,23.760000,23.010000,23.030001,23.030001,16523800
2007-08-28,22.950001,23.100000,22.500000,22.520000,22.520000,18030600
2007-08-29,22.600000,22.690001,22.270000,22.549999,22.549999,24599900
2007-08-30,22.490000,22.910000,22.379999,22.610001,22.610001,18172500
2007-08-31,22.809999,22.830000,22.510000,22.730000,22.730000,13052500
2007-09-04,23.299999,24.500000,23.200001,23.969999,23.969999,43598600
2007-09-05,24.100000,24.400000,23.910000,24.100000,24.100000,23071000
2007-09-06,24.219999,24.320000,23.620001,24.150000,24.150000,13922100
2007-09-07,23.760000,24.049999,23.600000,23.760000,23.760000,12591900
2007-09-10,23.850000,23.850000,23.100000,23.299999,23.299999,15246000
2007-09-11,23.309999,23.840000,23.309999,23.709999,23.709999,17207500
2007-09-12,23.639999,23.940001,23.530001,23.559999,23.559999,16553700
2007-09-13,23.600000,23.959999,23.600000,23.719999,23.719999,10309000
2007-09-14,23.690001,25.000000,23.650000,24.730000,24.730000,28868600
2007-09-17,24.500000,25.100000,24.379999,24.950001,24.950001,20594000
2007-09-18,25.059999,25.209999,24.530001,25.059999,25.059999,28121000
2007-09-19,25.090000,25.370001,24.809999,25.290001,25.290001,25867900
2007-09-20,25.280001,25.610001,25.160000,25.290001,25.290001,17312000
2007-09-21,25.540001,26.209999,25.290001,26.049999,26.049999,53074900
2007-09-24,26.129999,26.400000,25.510000,25.730000,25.730000,27597800
2007-09-25,25.700001,26.650000,25.629999,26.510000,26.510000,33721300
2007-09-26,26.700001,27.070000,26.500000,26.700001,26.700001,18692400
2007-09-27,26.950001,26.950001,26.170000,26.270000,26.270000,21365200
2007-09-28,26.490000,26.889999,26.200001,26.840000,26.840000,22155600
2007-10-01,26.760000,27.100000,26.730000,27.040001,27.040001,16938700
2007-10-02,27.200001,27.240000,26.620001,26.950001,26.950001,15133400
2007-10-03,27.160000,27.379999,26.820000,27.170000,27.170000,18052500
2007-10-04,27.190001,27.290001,26.900000,27.150000,27.150000,19203600
2007-10-05,27.780001,28.160000,27.750000,27.879999,27.879999,28389600
2007-10-08,28.010000,28.170000,27.750000,28.049999,28.049999,15060700
2007-10-09,28.350000,28.760000,27.940001,28.370001,28.370001,19539500
2007-10-10,28.430000,28.700001,27.900000,28.360001,28.360001,14847100
2007-10-11,28.440001,28.680000,27.500000,27.650000,27.650000,25298300
2007-10-12,27.760000,28.510000,27.650000,28.480000,28.480000,22130500
2007-10-15,28.320000,28.400000,27.459999,27.860001,27.860001,22994100
2007-10-16,27.370001,27.480000,26.549999,26.690001,26.690001,56275300
2007-10-17,29.100000,29.200001,28.000000,28.820000,28.820000,75067700
2007-10-18,28.590000,29.600000,28.469999,29.350000,29.350000,28152200
2007-10-19,29.360001,29.959999,28.850000,29.030001,29.030001,41933000
2007-10-22,28.930000,30.000000,28.799999,29.850000,29.850000,27750100
2007-10-23,30.120001,30.879999,30.030001,30.639999,30.639999,45406200
2007-10-24,30.680000,30.980000,30.000000,30.680000,30.680000,33603100
2007-10-25,30.750000,31.620001,30.500000,31.340000,31.340000,38706600
2007-10-26,32.430000,33.990002,31.610001,33.630001,33.630001,66018100
2007-10-29,34.070000,34.080002,31.180000,31.790001,31.790001,83685800
2007-10-30,31.549999,31.639999,30.120001,30.830000,30.830000,52417300
2007-10-31,31.500000,31.750000,30.500000,31.100000,31.100000,34762000
2007-11-01,30.860001,31.100000,30.040001,30.219999,30.219999,26913300
2007-11-02,30.540001,31.209999,29.639999,31.110001,31.110001,34090300
2007-11-05,30.709999,32.369999,30.350000,31.360001,31.360001,43520300
2007-11-06,31.760000,31.790001,29.000000,29.930000,29.930000,63664400
2007-11-07,29.270000,29.299999,27.559999,27.629999,27.629999,57069800
2007-11-08,28.110001,28.240000,25.820000,26.700001,26.700001,58160600
2007-11-09,26.129999,26.379999,25.400000,25.790001,25.790001,45199700
2007-11-12,25.799999,26.200001,24.690001,24.780001,24.780001,31264200
2007-11-13,25.530001,26.240000,25.299999,26.100000,26.100000,34123300
2007-11-14,26.420000,26.440001,25.000000,25.070000,25.070000,38183700
2007-11-15,24.940001,25.750000,24.900000,25.420000,25.420000,27920800
2007-11-16,25.660000,27.129999,25.100000,26.820000,26.820000,53044400
2007-11-19,27.110001,27.350000,26.350000,26.760000,26.760000,33066200
2007-11-20,26.930000,27.250000,25.980000,26.719999,26.719999,25672500
2007-11-21,26.110001,26.580000,25.520000,25.709999,25.709999,23320100
2007-11-23,25.980000,26.400000,25.760000,26.129999,26.129999,9249400
2007-11-26,26.080000,26.250000,25.200001,25.219999,25.219999,24174600
2007-11-27,25.180000,26.000000,25.170000,25.590000,25.590000,19484500
2007-11-28,26.030001,26.700001,25.930000,26.200001,26.200001,23239300
2007-11-29,26.010000,26.709999,25.910000,26.629999,26.629999,17929700
2007-11-30,26.959999,27.330000,26.510000,26.809999,26.809999,23994000
2007-12-03,26.639999,27.200001,26.559999,26.610001,26.610001,15250100
2007-12-04,26.139999,26.730000,26.110001,26.420000,26.420000,14668800
2007-12-05,26.629999,26.730000,25.730000,25.980000,25.980000,21170900
2007-12-06,25.879999,26.020000,25.389999,25.959999,25.959999,19236500
2007-12-07,25.860001,26.110001,25.500000,25.629999,25.629999,11443200
2007-12-10,25.510000,25.570000,24.920000,25.200001,25.200001,26074900
2007-12-11,25.150000,25.650000,24.360001,24.469999,24.469999,28579100
2007-12-12,24.820000,25.000000,24.110001,24.540001,24.540001,20241200
2007-12-13,24.389999,24.750000,24.190001,24.379999,24.379999,23787400
2007-12-14,24.129999,24.469999,24.000000,24.059999,24.059999,15125500
2007-12-17,23.799999,24.030001,22.940001,23.040001,23.040001,37877100
2007-12-18,23.219999,23.350000,22.799999,23.020000,23.020000,27735600
2007-12-19,22.920000,23.690001,22.920000,23.309999,23.309999,26547300
2007-12-20,23.500000,23.799999,23.240000,23.639999,23.639999,21030700
2007-12-21,23.879999,24.100000,23.740000,24.010000,24.010000,24094600
2007-12-24,24.010000,24.190001,23.940001,24.049999,24.049999,24861800
2007-12-26,23.850000,24.250000,23.850000,23.959999,23.959999,9821600
2007-12-27,23.600000,24.150000,23.570000,23.709999,23.709999,16041500
2007-12-28,23.660000,23.709999,23.209999,23.450001,23.450001,13773000
2007-12-31,23.219999,23.430000,23.110001,23.260000,23.260000,14782600
2008-01-02,23.799999,24.150000,23.600000,23.719999,23.719999,25671700
2008-01-03,23.860001,24.190001,23.700001,23.840000,23.840000,20179700
2008-01-04,23.809999,23.809999,23.100000,23.160000,23.160000,20745800
2008-01-07,23.120001,23.559999,22.730000,23.180000,23.180000,24769400
2008-01-08,23.280001,23.650000,22.500000,22.610001,22.610001,22974000
2008-01-09,22.469999,22.799999,21.370001,22.559999,22.559999,46662700
2008-01-10,23.190001,24.570000,22.830000,24.090000,24.090000,52342100
2008-01-11,23.809999,24.129999,22.980000,23.360001,23.360001,27297400
2008-01-14,23.510000,23.760000,23.180000,23.700001,23.700001,18552900
2008-01-15,23.000000,23.490000,22.570000,22.910000,22.910000,31911000
2008-01-16,22.200001,22.750000,21.730000,21.950001,21.950001,38155300
2008-01-17,22.000000,22.170000,21.139999,21.219999,21.219999,28812600
2008-01-18,21.270000,21.610001,20.070000,20.780001,20.780001,41239300
2008-01-22,19.290001,21.030001,19.260000,19.860001,19.860001,38126200
2008-01-23,19.250000,20.340000,18.719999,20.010000,20.010000,42064200
2008-01-24,20.440001,21.750000,20.420000,21.690001,21.690001,39823300
2008-01-25,22.240000,22.370001,21.320000,21.940001,21.940001,28386800
2008-01-28,21.559999,21.900000,20.420000,20.780001,20.780001,32473100
2008-01-29,20.870001,20.900000,20.049999,20.809999,20.809999,79230000
2008-01-30,18.620001,20.809999,18.580000,19.049999,19.049999,115993300
2008-01-31,18.870001,19.350000,18.719999,19.180000,19.180000,41449800
2008-02-01,28.680000,29.830000,27.340000,28.379999,28.379999,438248800
2008-02-04,28.330000,29.500000,28.330000,29.330000,29.330000,144814000
2008-02-05,28.780001,29.570000,28.750000,28.980000,28.980000,68583700
2008-02-06,29.110001,29.330000,28.530001,28.570000,28.570000,55648800
2008-02-07,28.629999,29.190001,28.600000,29.040001,29.040001,44248800
2008-02-08,28.980000,29.219999,28.709999,29.200001,29.200001,55618900
2008-02-11,29.889999,30.049999,29.320000,29.870001,29.870001,67253700
2008-02-12,29.809999,29.840000,29.400000,29.570000,29.570000,42445600
2008-02-13,29.780001,30.070000,29.600000,29.879999,29.879999,57047700
2008-02-14,29.980000,30.250000,29.750000,29.980000,29.980000,38045600
2008-02-15,29.950001,30.150000,29.430000,29.660000,29.660000,40125200
2008-02-19,29.340000,29.420000,28.750000,29.010000,29.010000,38679600
2008-02-20,28.709999,29.040001,28.389999,28.830000,28.830000,29338800
2008-02-21,28.760000,29.170000,28.250000,28.420000,28.420000,34681900
2008-02-22,28.360001,28.639999,27.980000,28.420000,28.420000,26157800
2008-02-25,28.420000,28.570000,27.750000,28.129999,28.129999,32470600
2008-02-26,27.930000,28.549999,27.809999,28.219999,28.219999,26013000
2008-02-27,28.330000,28.490000,27.750000,28.370001,28.370001,27664100
2008-02-28,27.980000,28.820000,27.959999,28.150000,28.150000,30113200
2008-02-29,27.940001,28.410000,27.500000,27.780001,27.780001,23860500
2008-03-03,27.730000,28.080000,27.660000,27.770000,27.770000,22765100
2008-03-04,27.799999,28.070000,27.430000,28.059999,28.059999,28305000
2008-03-05,28.000000,28.780001,28.000000,28.670000,28.670000,30280100
2008-03-06,28.639999,28.980000,28.440001,28.700001,28.700001,34591000
2008-03-07,28.580000,29.180000,28.500000,29.030001,29.030001,28266000
2008-03-10,28.870001,28.980000,28.510000,28.510000,28.510000,29698500
2008-03-11,28.910000,29.160000,28.430000,29.000000,29.000000,22077400
2008-03-12,28.889999,29.020000,28.389999,28.450001,28.450001,18338300
2008-03-13,28.070000,28.270000,27.379999,27.500000,27.500000,75429000
2008-03-14,27.850000,27.959999,26.500000,26.709999,26.709999,44386000
2008-03-17,26.500000,26.639999,25.719999,25.850000,25.850000,33771900
2008-03-18,26.940001,27.719999,26.250000,27.660000,27.660000,38074400
2008-03-19,27.559999,27.790001,26.910000,27.070000,27.070000,23317500
2008-03-20,27.360001,27.910000,26.980000,27.660000,27.660000,29864500
2008-03-24,27.559999,28.070000,27.450001,27.520000,27.520000,17360800
2008-03-25,28.139999,28.750000,27.700001,28.730000,28.730000,33759600
2008-03-26,28.629999,28.780001,28.190001,28.490000,28.490000,15271500
2008-03-27,28.490000,28.500000,27.900000,28.090000,28.090000,15558400
2008-03-28,28.320000,29.090000,28.150000,28.990000,28.990000,34274200
2008-03-31,28.559999,29.120001,28.270000,28.930000,28.930000,17224600
2008-04-01,28.070000,28.620001,28.020000,28.500000,28.500000,20483600
2008-04-02,28.570000,28.600000,27.490000,27.820000,27.820000,30180400
2008-04-03,27.650000,28.219999,27.580000,28.129999,28.129999,14535400
2008-04-04,28.000000,28.450001,27.590000,28.360001,28.360001,28290700
2008-04-07,27.799999,28.150000,27.570000,27.700001,27.700001,29455100
2008-04-08,27.719999,27.820000,27.490000,27.700001,27.700001,17935600
2008-04-09,27.799999,27.950001,27.129999,27.770000,27.770000,31768300
2008-04-10,28.389999,28.690001,28.280001,28.590000,28.590000,32671200
2008-04-11,28.410000,28.610001,28.090000,28.340000,28.340000,18433700
2008-04-14,28.180000,28.340000,27.790001,27.799999,27.799999,14159500
2008-04-15,28.049999,28.250000,27.770000,28.170000,28.170000,12096600
2008-04-16,28.110001,28.400000,28.110001,28.309999,28.309999,9204900
2008-04-17,28.400000,28.400000,27.959999,28.030001,28.030001,10848800
2008-04-18,28.440001,28.670000,28.170000,28.430000,28.430000,25292200
2008-04-21,28.520000,28.680000,28.219999,28.549999,28.549999,18368700
2008-04-22,28.730000,28.879999,28.440001,28.540001,28.540001,28564000
2008-04-23,28.240000,28.350000,27.709999,28.080000,28.080000,31134400
2008-04-24,28.010000,28.080000,27.240000,27.299999,27.299999,25944000
2008-04-25,26.850000,26.930000,26.080000,26.799999,26.799999,50523100
2008-04-28,27.000000,27.090000,26.250000,26.430000,26.430000,20869300
2008-04-29,26.350000,27.480000,25.809999,27.360001,27.360001,36678000
2008-04-30,27.170000,27.780001,26.760000,27.410000,27.410000,31034100
2008-05-01,27.690001,28.340000,26.500000,26.809999,26.809999,52071000
2008-05-02,27.650000,29.730000,27.209999,28.670000,28.670000,80447300
2008-05-05,23.049999,24.930000,22.969999,24.370001,24.370001,279318400
2008-05-06,25.540001,26.250000,24.200001,25.719999,25.719999,180100000
2008-05-07,25.570000,25.709999,25.030001,25.639999,25.639999,84698300
2008-05-08,25.660000,26.440001,25.510000,26.219999,26.219999,61308600
2008-05-09,26.010000,26.190001,25.750000,25.930000,25.930000,30686900
2008-05-12,25.799999,25.879999,25.020000,25.260000,25.260000,41319400
2008-05-13,25.150000,26.840000,24.389999,26.559999,26.559999,81351200
2008-05-14,26.950001,27.360001,26.200001,27.139999,27.139999,64571100
2008-05-15,27.540001,27.980000,26.850000,27.750000,27.750000,79748700
2008-05-16,27.730000,27.950001,27.410000,27.660000,27.660000,61318300
2008-05-19,27.900000,28.330000,27.420000,27.680000,27.680000,55348600
2008-05-20,27.680000,28.200001,27.320000,27.480000,27.480000,29450900
2008-05-21,27.340000,27.950001,26.799999,27.330000,27.330000,38317200
2008-05-22,27.299999,27.610001,26.950001,27.530001,27.530001,24737400
2008-05-23,27.480000,27.740000,27.260000,27.719999,27.719999,24035700
2008-05-27,27.500000,27.629999,26.980000,27.000000,27.000000,20703900
2008-05-28,27.420000,27.480000,26.950001,27.160000,27.160000,21785600
2008-05-29,27.340000,27.360001,27.000000,27.070000,27.070000,17905300
2008-05-30,27.070000,27.100000,26.629999,26.760000,26.760000,17771800
2008-06-02,26.799999,26.809999,26.030001,26.400000,26.400000,26379400
2008-06-03,26.360001,26.600000,25.780001,26.150000,26.150000,25586000
2008-06-04,26.250000,27.049999,26.160000,26.850000,26.850000,29973600
2008-06-05,26.459999,26.639999,25.969999,26.360001,26.360001,30167300
2008-06-06,26.500000,27.080000,26.030001,26.440001,26.440001,37758400
2008-06-09,26.500000,26.860001,26.100000,26.580000,26.580000,17278300
2008-06-10,26.320000,26.580000,26.250000,26.400000,26.400000,11854000
2008-06-11,26.420000,26.459999,26.000000,26.150000,26.150000,13315400
2008-06-12,26.330000,26.330000,22.500000,23.520000,23.520000,122412100
2008-06-13,22.820000,23.480000,21.750000,23.469999,23.469999,118467700
2008-06-16,22.950001,23.580000,22.709999,23.540001,23.540001,44711900
2008-06-17,23.580000,23.580000,22.900000,23.250000,23.250000,22808800
2008-06-18,23.219999,23.219999,22.629999,22.910000,22.910000,14255900
2008-06-19,22.780001,22.870001,22.370001,22.730000,22.730000,19001300
2008-06-20,22.490000,22.530001,21.900000,21.990000,21.990000,34606900
2008-06-23,22.070000,22.120001,21.299999,21.450001,21.450001,29819200
2008-06-24,21.170000,23.709999,20.600000,22.040001,22.040001,85211700
2008-06-25,22.000000,22.240000,21.860001,22.010000,22.010000,19530900
2008-06-26,21.590000,21.889999,21.280001,21.370001,21.370001,23993900
2008-06-27,21.290001,21.459999,20.700001,21.330000,21.330000,30236800
2008-06-30,21.120001,21.200001,20.600000,20.660000,20.660000,17173500
2008-07-01,20.480000,20.490000,19.590000,20.200001,20.200001,36634700
2008-07-02,21.889999,21.900000,20.670000,20.879999,20.879999,58418100
2008-07-03,21.350000,21.750000,21.030001,21.350000,21.350000,21923800
2008-07-07,23.400000,24.250000,22.920000,23.910000,23.910000,84245900
2008-07-08,23.830000,24.660000,23.809999,24.639999,24.639999,34234600
2008-07-09,24.740000,24.799999,23.820000,23.820000,23.820000,21980400
2008-07-10,23.760000,24.100000,23.040001,23.500000,23.500000,18501800
2008-07-11,23.000000,23.889999,22.639999,23.570000,23.570000,23141900
2008-07-14,23.120001,23.240000,22.219999,22.570000,22.570000,22785000
2008-07-15,21.790001,22.080000,21.180000,21.540001,21.540001,25740900
2008-07-16,21.700001,22.600000,21.590000,22.480000,22.480000,20738700
2008-07-17,23.490000,23.490000,22.410000,22.440001,22.440001,31947900
2008-07-18,22.549999,22.549999,21.860001,22.450001,22.450001,23375400
2008-07-21,21.660000,22.190001,21.650000,21.670000,21.670000,24645600
2008-07-22,21.389999,21.700001,20.850000,21.400000,21.400000,29786500
2008-07-23,21.910000,22.480000,20.000000,20.389999,20.389999,48279700
2008-07-24,20.610001,21.059999,20.049999,20.530001,20.530001,24422500
2008-07-25,20.549999,21.190001,20.280001,21.129999,21.129999,20406200
2008-07-28,20.990000,21.170000,20.059999,20.120001,20.120001,13733800
2008-07-29,20.010000,20.340000,19.680000,20.150000,20.150000,17023800
2008-07-30,20.180000,20.180000,19.959999,20.030001,20.030001,25016800
2008-07-31,19.889999,20.150000,19.850000,19.889999,19.889999,16621100
2008-08-01,20.090000,20.120001,19.530001,19.799999,19.799999,19777000
2008-08-04,19.770000,19.770000,19.209999,19.379999,19.379999,14064400
2008-08-05,19.700001,19.910000,19.530001,19.820000,19.820000,14415200
2008-08-06,19.770000,20.180000,19.530001,20.000000,20.000000,14699000
2008-08-07,19.799999,20.250000,19.639999,20.190001,20.190001,14017500
2008-08-08,20.190001,20.190001,19.870001,19.900000,19.900000,13640000
2008-08-11,19.889999,20.280001,19.650000,20.260000,20.260000,12903700
2008-08-12,20.209999,20.600000,20.040001,20.430000,20.430000,13883700
2008-08-13,20.330000,20.480000,20.059999,20.360001,20.360001,11954500
2008-08-14,20.200001,20.570000,20.139999,20.280001,20.280001,11103300
2008-08-15,20.270000,20.820000,20.270000,20.440001,20.440001,14945100
2008-08-18,20.469999,20.520000,19.660000,19.730000,19.730000,14867400
2008-08-19,19.780001,19.910000,19.410000,19.420000,19.420000,12851000
2008-08-20,19.570000,19.650000,19.100000,19.170000,19.170000,16426500
2008-08-21,19.059999,19.180000,18.870001,19.110001,19.110001,16995100
2008-08-22,19.110001,19.680000,19.100000,19.530001,19.530001,11087500
2008-08-25,19.340000,19.400000,19.049999,19.090000,19.090000,13779300
2008-08-26,19.120001,19.200001,19.000000,19.090000,19.090000,8770500
2008-08-27,19.080000,19.450001,18.930000,19.370001,19.370001,9300100
2008-08-28,19.480000,19.760000,19.379999,19.650000,19.650000,11729500
2008-08-29,19.540001,19.600000,19.280001,19.379999,19.379999,11204900
2008-09-02,19.629999,19.770000,18.740000,18.750000,18.750000,16943700
2008-09-03,18.850000,19.000000,18.700001,18.760000,18.760000,11557100
2008-09-04,18.709999,18.809999,17.750000,17.750000,17.750000,23892500
2008-09-05,17.920000,18.340000,17.799999,18.080000,18.080000,17089100
2008-09-08,18.330000,18.370001,17.870001,18.260000,18.260000,16447400
2008-09-09,18.139999,18.190001,17.530001,17.580000,17.580000,25271700
2008-09-10,17.629999,17.790001,17.250000,17.700001,17.700001,19619600
2008-09-11,17.400000,18.570000,17.330000,18.549999,18.549999,28408000
2008-09-12,18.430000,19.170000,18.340000,19.080000,19.080000,21301100
2008-09-15,18.270000,19.139999,18.250000,18.850000,18.850000,32567200
2008-09-16,18.250000,19.350000,18.240000,19.260000,19.260000,33897000
2008-09-17,18.969999,19.080000,18.200001,18.820000,18.820000,28819300
2008-09-18,18.790001,20.820000,18.490000,20.820000,20.820000,37286300
2008-09-19,20.580000,20.790001,19.270000,19.889999,19.889999,31649100
2008-09-22,19.600000,19.600000,18.639999,18.680000,18.680000,16911900
2008-09-23,18.709999,19.129999,18.670000,18.930000,18.930000,20230100
2008-09-24,18.900000,19.190001,18.820000,19.150000,19.150000,12766200
2008-09-25,19.090000,19.559999,18.969999,19.200001,19.200001,14512100
2008-09-26,18.750000,19.250000,18.650000,18.920000,18.920000,14922800
2008-09-29,18.770000,18.920000,16.879999,16.879999,16.879999,39570300
2008-09-30,17.150000,17.620001,17.000000,17.299999,17.299999,23672300
2008-10-01,17.170000,17.309999,16.799999,16.959999,16.959999,13725000
2008-10-02,16.770000,16.850000,15.540000,15.580000,15.580000,23416200
2008-10-03,15.810000,16.440001,15.750000,16.000000,16.000000,25824900
2008-10-06,15.270000,16.070000,14.550000,15.310000,15.310000,42862100
2008-10-07,15.190000,15.490000,14.530000,14.580000,14.580000,27696400
2008-10-08,13.800000,14.580000,13.200000,13.760000,13.760000,31651100
2008-10-09,13.900000,13.900000,12.470000,12.650000,12.650000,40808900
2008-10-10,12.220000,12.920000,11.960000,12.290000,12.290000,38683200
2008-10-13,13.140000,13.510000,12.560000,13.490000,13.490000,26049700
2008-10-14,13.780000,13.930000,12.370000,12.650000,12.650000,26909700
2008-10-15,12.490000,12.550000,11.750000,11.750000,11.750000,27529900
2008-10-16,11.900000,13.730000,11.370000,12.990000,12.990000,107674200
2008-10-17,12.880000,13.500000,12.680000,12.900000,12.900000,38974800
2008-10-20,13.030000,13.030000,12.330000,12.860000,12.860000,25010600
2008-10-21,12.620000,12.740000,12.040000,12.070000,12.070000,28385500
2008-10-22,12.360000,12.840000,12.350000,12.390000,12.390000,35671000
2008-10-23,12.150000,12.700000,11.550000,12.650000,12.650000,27751300
2008-10-24,11.310000,12.330000,11.310000,12.100000,12.100000,29718100
2008-10-27,11.820000,12.190000,11.500000,11.580000,11.580000,16372300
2008-10-28,11.890000,12.400000,11.250000,12.360000,12.360000,22795700
2008-10-29,12.200000,12.610000,11.920000,12.140000,12.140000,21443000
2008-10-30,12.530000,13.180000,12.250000,12.930000,12.930000,26757100
2008-10-31,13.090000,13.360000,12.710000,12.820000,12.820000,24017600
2008-11-03,12.740000,12.890000,12.550000,12.750000,12.750000,10385600
2008-11-04,13.050000,13.490000,12.840000,13.350000,13.350000,24980000
2008-11-05,13.210000,14.840000,13.150000,13.920000,13.920000,71264100
2008-11-06,14.840000,14.890000,13.750000,13.960000,13.960000,44431700
2008-11-07,12.450000,12.500000,11.650000,12.200000,12.200000,47280400
2008-11-10,12.370000,12.400000,11.570000,11.870000,11.870000,16708100
2008-11-11,11.560000,11.670000,11.060000,11.350000,11.350000,33294600
2008-11-12,11.010000,11.340000,10.020000,10.340000,10.340000,29046700
2008-11-13,10.320000,11.170000,9.760000,11.150000,11.150000,25212700
2008-11-14,10.840000,11.500000,10.630000,10.820000,10.820000,19072400
2008-11-17,10.500000,10.940000,10.320000,10.630000,10.630000,14601400
2008-11-18,11.930000,12.400000,11.000000,11.550000,11.550000,51671000
2008-11-19,11.540000,11.580000,9.070000,9.140000,9.140000,57680800
2008-11-20,9.100000,10.010000,8.940000,8.950000,8.950000,37311800
2008-11-21,9.280000,9.480000,8.950000,9.390000,9.390000,29895300
2008-11-24,9.560000,10.270000,9.420000,10.210000,10.210000,22452600
2008-11-25,10.120000,10.200000,9.830000,10.070000,10.070000,16889200
2008-11-26,9.930000,10.580000,9.920000,10.580000,10.580000,13640000
2008-11-28,10.760000,11.590000,10.650000,11.510000,11.510000,12397600
2008-12-01,11.820000,11.980000,10.730000,10.740000,10.740000,26242500
2008-12-02,10.810000,12.500000,10.500000,11.500000,11.500000,46254900
2008-12-03,11.120000,11.500000,10.740000,11.500000,11.500000,24094600
2008-12-04,11.380000,11.480000,10.700000,11.050000,11.050000,18447800
2008-12-05,10.960000,11.700000,10.620000,11.660000,11.660000,19973900
2008-12-08,12.170000,12.490000,11.790000,12.200000,12.200000,33782200
2008-12-09,11.900000,12.540000,11.770000,12.190000,12.190000,28943400
2008-12-10,12.670000,13.570000,12.350000,13.400000,13.400000,46696000
2008-12-11,13.160000,13.360000,12.570000,12.730000,12.730000,26528700
2008-12-12,12.310000,13.230000,12.150000,13.150000,13.150000,24636700
2008-12-15,13.100000,13.290000,12.550000,12.730000,12.730000,20131100
2008-12-16,12.880000,13.480000,12.880000,13.360000,13.360000,18544100
2008-12-17,13.000000,13.430000,12.830000,13.110000,13.110000,12783000
2008-12-18,13.130000,13.270000,12.700000,12.720000,12.720000,14997900
2008-12-19,12.920000,13.320000,12.720000,13.030000,13.030000,17551900
2008-12-22,13.030000,13.080000,12.000000,12.350000,12.350000,12946400
2008-12-23,12.470000,12.650000,12.250000,12.420000,12.420000,7474700
2008-12-24,12.410000,12.480000,12.290000,12.320000,12.320000,2500100
2008-12-26,12.300000,12.380000,12.180000,12.340000,12.340000,3873900
2008-12-29,12.460000,12.460000,11.450000,11.880000,11.880000,9913500
2008-12-30,11.910000,12.000000,11.720000,11.970000,11.970000,7480600
2008-12-31,11.950000,12.300000,11.920000,12.200000,12.200000,9085500
2009-01-02,12.170000,12.850000,12.120000,12.850000,12.850000,9514600
2009-01-05,12.720000,13.010000,12.390000,12.860000,12.860000,11989900
2009-01-06,12.960000,13.240000,12.880000,13.000000,13.000000,10056000
2009-01-07,12.710000,13.160000,12.450000,12.710000,12.710000,24995900
2009-01-08,12.370000,13.070000,12.310000,13.070000,13.070000,14355000
2009-01-09,13.420000,13.560000,12.900000,13.130000,13.130000,19281000
2009-01-12,13.090000,13.100000,12.080000,12.220000,12.220000,19976900
2009-01-13,12.090000,12.790000,11.780000,12.100000,12.100000,25720400
2009-01-14,12.260000,12.530000,11.810000,12.410000,12.410000,23595200
2009-01-15,12.320000,12.350000,11.220000,11.610000,11.610000,25247500
2009-01-16,11.870000,11.970000,11.440000,11.590000,11.590000,24783700
2009-01-20,11.720000,11.800000,11.010000,11.010000,11.010000,18692000
2009-01-21,11.170000,11.590000,11.080000,11.590000,11.590000,15892200
2009-01-22,11.350000,11.510000,10.900000,11.280000,11.280000,17201700
2009-01-23,10.900000,11.550000,10.860000,11.320000,11.320000,15864000
2009-01-26,11.260000,11.280000,10.810000,11.170000,11.170000,16469800
2009-01-27,11.200000,11.370000,10.850000,11.340000,11.340000,33708200
2009-01-28,12.230000,12.380000,11.920000,12.240000,12.240000,35686800
2009-01-29,12.020000,12.240000,11.730000,11.740000,11.740000,22124100
2009-01-30,11.860000,12.150000,11.510000,11.730000,11.730000,21508900
2009-02-02,11.500000,12.320000,11.490000,12.150000,12.150000,21223000
2009-02-03,12.300000,12.710000,12.010000,12.680000,12.680000,18669700
2009-02-04,12.670000,13.230000,12.550000,13.000000,13.000000,22933800
2009-02-05,12.930000,13.520000,12.850000,13.510000,13.510000,17566800
2009-02-06,13.410000,13.840000,13.200000,13.630000,13.630000,17594600
2009-02-09,13.590000,14.000000,13.470000,13.900000,13.900000,15686200
2009-02-10,13.540000,13.900000,12.720000,12.750000,12.750000,24148400
2009-02-11,12.870000,12.910000,12.380000,12.630000,12.630000,13726600
2009-02-12,12.500000,12.660000,12.140000,12.660000,12.660000,15452500
2009-02-13,12.670000,12.990000,12.590000,12.840000,12.840000,11139300
2009-02-17,12.310000,12.580000,12.010000,12.020000,12.020000,15708400
2009-02-18,12.120000,12.530000,12.070000,12.220000,12.220000,12434300
2009-02-19,12.350000,12.590000,11.930000,11.980000,11.980000,12537600
2009-02-20,11.900000,12.270000,11.750000,12.140000,12.140000,16485500
2009-02-23,12.200000,12.350000,11.830000,11.970000,11.970000,16517300
2009-02-24,12.570000,12.860000,12.270000,12.750000,12.750000,22529300
2009-02-25,12.450000,12.790000,12.300000,12.480000,12.480000,16195700
2009-02-26,12.880000,13.390000,12.740000,12.980000,12.980000,26571900
2009-02-27,12.660000,13.330000,12.610000,13.230000,13.230000,20392600
2009-03-02,12.850000,12.970000,12.470000,12.580000,12.580000,20934900
2009-03-03,12.790000,12.870000,12.310000,12.500000,12.500000,16509700
2009-03-04,12.720000,13.490000,12.510000,13.160000,13.160000,24076200
2009-03-05,12.770000,13.070000,12.480000,12.530000,12.530000,18477000
2009-03-06,12.600000,13.180000,12.520000,13.050000,13.050000,30994200
2009-03-09,12.850000,13.450000,12.550000,12.660000,12.660000,23119700
2009-03-10,12.810000,13.400000,12.750000,13.230000,13.230000,22730900
2009-03-11,13.310000,13.500000,13.030000,13.390000,13.390000,17505000
2009-03-12,13.350000,13.600000,13.100000,13.600000,13.600000,16682500
2009-03-13,13.580000,13.640000,13.270000,13.510000,13.510000,12522600
2009-03-16,13.660000,13.660000,13.200000,13.220000,13.220000,19448800
2009-03-17,13.350000,14.040000,13.220000,13.990000,13.990000,16719400
2009-03-18,13.810000,13.950000,13.230000,13.420000,13.420000,26324300
2009-03-19,13.680000,14.140000,13.610000,13.740000,13.740000,25954300
2009-03-20,13.630000,13.870000,13.510000,13.600000,13.600000,22079300
2009-03-23,13.790000,14.120000,13.620000,14.090000,14.090000,18200000
2009-03-24,13.980000,14.020000,13.560000,13.630000,13.630000,17293600
2009-03-25,13.690000,13.880000,13.350000,13.550000,13.550000,16746400
2009-03-26,13.550000,13.610000,13.000000,13.350000,13.350000,24223400
2009-03-27,13.170000,13.610000,13.120000,13.180000,13.180000,22426200
2009-03-30,12.930000,13.140000,12.510000,12.700000,12.700000,16558800
2009-03-31,12.760000,13.100000,12.670000,12.810000,12.810000,12066000
2009-04-01,12.700000,13.120000,12.600000,12.750000,12.750000,14540400
2009-04-02,13.040000,13.140000,12.800000,12.950000,12.950000,28823100
2009-04-03,12.950000,13.390000,12.780000,13.340000,13.340000,18534900
2009-04-06,13.080000,13.240000,12.990000,13.230000,13.230000,11935700
2009-04-07,13.000000,13.100000,12.680000,12.810000,12.810000,12306400
2009-04-08,12.900000,13.010000,12.750000,12.920000,12.920000,11241000
2009-04-09,13.140000,13.590000,13.070000,13.470000,13.470000,17285800
2009-04-13,14.020000,14.540000,13.860000,14.420000,14.420000,35067600
2009-04-14,14.400000,14.420000,14.000000,14.070000,14.070000,15151700
2009-04-15,13.930000,14.090000,13.770000,14.020000,14.020000,12383200
2009-04-16,14.150000,14.530000,14.050000,14.430000,14.430000,19156500
2009-04-17,14.430000,14.520000,14.030000,14.390000,14.390000,19800400
2009-04-20,14.160000,14.250000,13.600000,13.660000,13.660000,13470500
2009-04-21,13.940000,14.590000,13.710000,14.380000,14.380000,54237700
2009-04-22,14.620000,15.390000,14.410000,14.480000,14.480000,65407800
2009-04-23,14.560000,14.740000,14.110000,14.550000,14.550000,32943200
2009-04-24,14.790000,14.940000,14.360000,14.730000,14.730000,25803000
2009-04-27,14.480000,14.550000,13.880000,13.890000,13.890000,22640600
2009-04-28,13.740000,14.050000,13.600000,13.640000,13.640000,18856500
2009-04-29,13.700000,14.350000,13.700000,14.020000,14.020000,16570900
2009-04-30,14.120000,14.600000,14.120000,14.290000,14.290000,25883300
2009-05-01,14.500000,14.500000,13.910000,14.140000,14.140000,23721700
2009-05-04,14.200000,14.250000,13.960000,14.180000,14.180000,25094600
2009-05-05,14.550000,14.990000,14.180000,14.740000,14.740000,35233200
2009-05-06,14.800000,15.000000,14.520000,14.850000,14.850000,19105800
2009-05-07,15.030000,15.100000,14.380000,14.800000,14.800000,24328500
2009-05-08,14.880000,15.300000,14.700000,15.150000,15.150000,22461200
2009-05-11,14.900000,15.830000,14.810000,15.540000,15.540000,39492400
2009-05-12,15.500000,15.500000,14.900000,15.100000,15.100000,31403300
2009-05-13,14.920000,14.950000,14.500000,14.520000,14.520000,23585400
2009-05-14,14.500000,14.860000,14.400000,14.760000,14.760000,20841800
2009-05-15,15.000000,15.100000,14.860000,14.910000,14.910000,22525900
2009-05-18,15.100000,15.180000,14.740000,15.170000,15.170000,18629500
2009-05-19,15.060000,15.340000,15.020000,15.180000,15.180000,13676000
2009-05-20,15.080000,15.310000,14.800000,14.960000,14.960000,15781600
2009-05-21,14.920000,15.120000,14.620000,14.870000,14.870000,15186800
2009-05-22,14.890000,15.170000,14.750000,14.980000,14.980000,19150500
2009-05-26,14.680000,15.440000,14.670000,15.280000,15.280000,19953000
2009-05-27,15.270000,15.530000,14.880000,14.940000,14.940000,18977400
2009-05-28,15.090000,15.240000,14.690000,15.090000,15.090000,19131600
2009-05-29,15.190000,15.840000,15.110000,15.840000,15.840000,29557500
2009-06-01,16.170000,16.650000,16.129999,16.580000,16.580000,27926100
2009-06-02,16.600000,16.750000,16.250000,16.620001,16.620001,15286700
2009-06-03,16.500000,16.500000,15.670000,16.299999,16.299999,26358100
2009-06-04,16.400000,16.709999,16.040001,16.650000,16.650000,19001400
2009-06-05,16.770000,16.990000,16.299999,16.639999,16.639999,17311400
2009-06-08,16.469999,16.490000,16.040001,16.190001,16.190001,13692600
2009-06-09,16.230000,16.500000,16.180000,16.400000,16.400000,13083200
2009-06-10,16.700001,16.719999,16.100000,16.320000,16.320000,15771200
2009-06-11,16.260000,16.459999,16.150000,16.190001,16.190001,15042300
2009-06-12,16.170000,16.469999,16.100000,16.400000,16.400000,16962900
2009-06-15,16.559999,16.680000,16.129999,16.400000,16.400000,23251700
2009-06-16,16.330000,16.379999,15.900000,15.960000,15.960000,15116000
2009-06-17,15.910000,16.030001,15.460000,15.600000,15.600000,16521300
2009-06-18,15.620000,15.640000,15.230000,15.340000,15.340000,16185400
2009-06-19,15.500000,15.840000,15.400000,15.800000,15.800000,20323100
2009-06-22,15.550000,15.610000,14.710000,14.710000,14.710000,26488700
2009-06-23,14.750000,14.900000,14.550000,14.680000,14.680000,15866300
2009-06-24,14.760000,15.600000,14.760000,15.450000,15.450000,30979700
2009-06-25,15.440000,15.670000,15.250000,15.530000,15.530000,19827800
2009-06-26,15.600000,15.800000,15.480000,15.740000,15.740000,26449100
2009-06-29,15.860000,16.010000,15.600000,15.900000,15.900000,12324000
2009-06-30,15.850000,15.900000,15.350000,15.660000,15.660000,16033900
2009-07-01,15.490000,15.690000,15.350000,15.410000,15.410000,12716100
2009-07-02,15.240000,15.280000,14.880000,14.990000,14.990000,16919900
2009-07-06,14.830000,14.930000,14.550000,14.910000,14.910000,13690700
2009-07-07,14.920000,14.930000,14.360000,14.440000,14.440000,22021700
2009-07-08,14.440000,14.690000,14.220000,14.380000,14.380000,15352700
2009-07-09,14.480000,14.680000,14.250000,14.550000,14.550000,15598200
2009-07-10,14.780000,15.180000,14.750000,14.930000,14.930000,23061200
2009-07-13,14.950000,15.060000,14.640000,15.010000,15.010000,13174400
2009-07-14,15.070000,15.220000,14.980000,15.180000,15.180000,13039500
2009-07-15,15.230000,15.740000,15.150000,15.710000,15.710000,18813600
2009-07-16,15.800000,16.250000,15.780000,16.190001,16.190001,21919500
2009-07-17,16.750000,16.910000,16.450001,16.840000,16.840000,32514700
2009-07-20,17.180000,17.430000,16.650000,17.010000,17.010000,27760800
2009-07-21,17.049999,17.110001,16.440001,16.750000,16.750000,33601800
2009-07-22,16.190001,17.480000,16.120001,17.370001,17.370001,53615500
2009-07-23,17.410000,17.680000,17.160000,17.360001,17.360001,37524900
2009-07-24,17.430000,17.590000,17.020000,17.480000,17.480000,19944700
2009-07-27,17.370001,17.480000,16.850000,17.000000,17.000000,19951800
2009-07-28,16.969999,17.490000,16.520000,17.219999,17.219999,36152600
2009-07-29,16.000000,16.200001,15.050000,15.140000,15.140000,126807700
2009-07-30,15.130000,15.140000,14.240000,14.600000,14.600000,100889000
2009-07-31,14.720000,14.890000,14.290000,14.320000,14.320000,62659900
2009-08-03,14.560000,14.620000,14.300000,14.340000,14.340000,43976900
2009-08-04,14.440000,14.680000,14.370000,14.510000,14.510000,43084800
2009-08-05,14.760000,14.910000,14.610000,14.670000,14.670000,50910100
2009-08-06,14.760000,14.860000,14.630000,14.740000,14.740000,35659500
2009-08-07,14.860000,14.900000,14.560000,14.620000,14.620000,28261000
2009-08-10,14.660000,14.680000,14.490000,14.630000,14.630000,18350900
2009-08-11,14.540000,14.650000,14.330000,14.460000,14.460000,17823200
2009-08-12,14.470000,14.760000,14.410000,14.680000,14.680000,24256200
2009-08-13,14.740000,15.070000,14.610000,15.040000,15.040000,40193000
2009-08-14,14.980000,15.140000,14.850000,15.040000,15.040000,28817100
2009-08-17,14.690000,14.780000,14.510000,14.560000,14.560000,29268300
2009-08-18,14.640000,14.780000,14.560000,14.750000,14.750000,14797300
2009-08-19,14.580000,14.910000,14.550000,14.790000,14.790000,15501500
2009-08-20,14.750000,14.900000,14.700000,14.770000,14.770000,15579900
2009-08-21,14.880000,14.960000,14.730000,14.790000,14.790000,23537700
2009-08-24,14.890000,15.190000,14.830000,14.990000,14.990000,26171000
2009-08-25,15.120000,15.210000,14.940000,15.070000,15.070000,22850600
2009-08-26,15.090000,15.140000,14.860000,14.930000,14.930000,15845300
2009-08-27,14.920000,15.000000,14.710000,14.930000,14.930000,30411000
2009-08-28,14.980000,15.080000,14.800000,14.850000,14.850000,33918200
2009-08-31,14.740000,14.800000,14.560000,14.610000,14.610000,15420500
2009-09-01,14.500000,14.680000,14.150000,14.180000,14.180000,30615300
2009-09-02,14.080000,14.330000,13.970000,14.230000,14.230000,23591500
2009-09-03,14.360000,14.430000,14.160000,14.280000,14.280000,14661900
2009-09-04,14.260000,14.640000,14.230000,14.500000,14.500000,17003900
2009-09-08,14.650000,14.660000,14.370000,14.490000,14.490000,17712200
2009-09-09,14.450000,14.860000,14.420000,14.780000,14.780000,19096300
2009-09-10,15.280000,15.630000,15.150000,15.450000,15.450000,49083300
2009-09-11,15.530000,15.680000,15.410000,15.590000,15.590000,26860700
2009-09-14,15.450000,15.580000,15.280000,15.570000,15.570000,19451200
2009-09-15,16.010000,16.490000,15.870000,16.410000,16.410000,64668200
2009-09-16,16.570000,17.110001,16.520000,16.990000,16.990000,53594700
2009-09-17,17.000000,17.790001,16.959999,17.500000,17.500000,62010000
2009-09-18,17.700001,17.700001,16.850000,17.389999,17.389999,86402600
2009-09-21,17.230000,17.230000,16.959999,17.040001,17.040001,26826900
2009-09-22,17.170000,17.219999,16.750000,16.860001,16.860001,30588800
2009-09-23,17.100000,17.600000,16.969999,17.209999,17.209999,36814300
2009-09-24,17.309999,17.320000,16.650000,16.889999,16.889999,26493700
2009-09-25,16.799999,17.150000,16.750000,17.080000,17.080000,20701400
2009-09-28,16.980000,17.469999,16.950001,17.469999,17.469999,26412200
2009-09-29,17.500000,17.660000,17.209999,17.450001,17.450001,31600100
2009-09-30,17.480000,17.940001,17.240000,17.809999,17.809999,39878200
2009-10-01,17.650000,17.719999,17.200001,17.389999,17.389999,24871600
2009-10-02,17.230000,17.350000,16.780001,16.840000,16.840000,32685300
2009-10-05,16.850000,17.129999,16.660000,16.799999,16.799999,22224900
2009-10-06,16.959999,17.350000,16.950001,17.299999,17.299999,21427600
2009-10-07,17.219999,17.490000,17.150000,17.490000,17.490000,12456700
2009-10-08,17.629999,17.860001,17.540001,17.580000,17.580000,27966900
2009-10-09,17.430000,17.480000,16.840000,16.870001,16.870001,29015700
2009-10-12,16.959999,17.110001,16.660000,16.750000,16.750000,16904700
2009-10-13,16.950001,17.000000,16.809999,16.879999,16.879999,19492500
2009-10-14,16.930000,17.030001,16.820000,16.950001,16.950001,17508000
2009-10-15,16.840000,16.889999,16.459999,16.520000,16.520000,24337300
2009-10-16,16.610001,16.850000,16.400000,16.809999,16.809999,20479000
2009-10-19,16.799999,17.290001,16.700001,17.219999,17.219999,17878000
2009-10-20,17.370001,17.410000,16.870001,17.170000,17.170000,38320400
2009-10-21,17.980000,18.020000,17.570000,17.660000,17.660000,46204500
2009-10-22,17.540001,17.750000,17.299999,17.670000,17.670000,16018100
2009-10-23,17.709999,17.750000,17.090000,17.219999,17.219999,17760400
2009-10-26,17.049999,17.200001,16.670000,16.870001,16.870001,21213100
2009-10-27,16.690001,16.870001,16.350000,16.690001,16.690001,19917800
2009-10-28,16.690001,16.770000,16.020000,16.040001,16.040001,25044800
2009-10-29,16.190001,16.379999,15.740000,16.129999,16.129999,39146700
2009-10-30,16.059999,16.370001,15.800000,15.900000,15.900000,22321700
2009-11-02,15.750000,15.900000,15.590000,15.850000,15.850000,15258200
2009-11-03,15.710000,15.790000,15.630000,15.700000,15.700000,17240200
2009-11-04,15.900000,15.900000,15.660000,15.690000,15.690000,18697100
2009-11-05,15.800000,16.000000,15.740000,15.900000,15.900000,27732500
2009-11-06,15.890000,16.030001,15.760000,15.940000,15.940000,13562500
2009-11-09,16.129999,16.190001,15.970000,16.020000,16.020000,14831900
2009-11-10,16.080000,16.360001,16.010000,16.040001,16.040001,24097400
2009-11-11,16.000000,16.160000,15.920000,16.090000,16.090000,16346100
2009-11-12,16.100000,16.280001,15.970000,16.000000,16.000000,10210100
2009-11-13,16.040001,16.100000,15.920000,15.930000,15.930000,26453800
2009-11-16,16.080000,16.190001,15.920000,16.070000,16.070000,26125200
2009-11-17,15.890000,16.110001,15.730000,16.049999,16.049999,22249500
2009-11-18,16.020000,16.129999,15.840000,15.980000,15.980000,12775400
2009-11-19,15.830000,15.850000,15.520000,15.610000,15.610000,26891000
2009-11-20,15.600000,15.740000,15.360000,15.380000,15.380000,16127300
2009-11-23,15.580000,15.650000,15.340000,15.450000,15.450000,24501400
2009-11-24,15.380000,15.490000,15.200000,15.240000,15.240000,19774000
2009-11-25,15.290000,15.350000,15.170000,15.300000,15.300000,21370600
2009-11-27,15.040000,15.090000,14.880000,15.000000,15.000000,11452900
2009-11-30,14.900000,15.100000,14.800000,14.970000,14.970000,17587000
2009-12-01,15.030000,15.190000,14.850000,15.130000,15.130000,17096500
2009-12-02,15.170000,15.500000,15.160000,15.310000,15.310000,17807800
2009-12-03,15.330000,15.380000,15.100000,15.110000,15.110000,17196200
2009-12-04,15.320000,15.380000,15.000000,15.190000,15.190000,17576000
2009-12-07,15.360000,15.650000,15.320000,15.450000,15.450000,18035200
2009-12-08,15.450000,15.900000,15.230000,15.450000,15.450000,31160600
2009-12-09,15.520000,15.540000,15.120000,15.180000,15.180000,25396900
2009-12-10,15.340000,15.570000,15.240000,15.490000,15.490000,18743000
2009-12-11,15.850000,15.900000,15.620000,15.740000,15.740000,22607500
2009-12-14,15.900000,15.970000,15.640000,15.810000,15.810000,18086300
2009-12-15,15.770000,15.880000,15.650000,15.740000,15.740000,13272900
2009-12-16,15.570000,15.820000,15.470000,15.790000,15.790000,20637500
2009-12-17,15.720000,15.960000,15.640000,15.820000,15.820000,26156700
2009-12-18,15.940000,16.139999,15.780000,16.139999,16.139999,30021100
2009-12-21,16.110001,16.170000,15.850000,15.880000,15.880000,17806100
2009-12-22,15.880000,16.080000,15.820000,15.980000,15.980000,10631600
2009-12-23,16.350000,16.700001,16.000000,16.670000,16.670000,23584100
2009-12-24,16.690001,16.750000,16.650000,16.719999,16.719999,4736600
2009-12-28,16.740000,16.940001,16.680000,16.879999,16.879999,11504300
2009-12-29,16.840000,16.969999,16.680000,16.920000,16.920000,13450200
2009-12-30,16.830000,16.990000,16.809999,16.980000,16.980000,8188000
2009-12-31,16.920000,16.959999,16.770000,16.780001,16.780001,9515600
2010-01-04,16.940001,17.200001,16.879999,17.100000,17.100000,16587400
2010-01-05,17.219999,17.230000,17.000000,17.230000,17.230000,11718100
2010-01-06,17.170000,17.299999,17.070000,17.170000,17.170000,16422000
2010-01-07,16.809999,16.900000,16.570000,16.700001,16.700001,31816300
2010-01-08,16.680000,16.760000,16.620001,16.700001,16.700001,15470000
2010-01-11,16.770000,16.830000,16.480000,16.740000,16.740000,16181900
2010-01-12,16.650000,16.860001,16.600000,16.680000,16.680000,15672400
2010-01-13,16.879999,16.980000,16.650000,16.900000,16.900000,16955600
2010-01-14,16.809999,17.230000,16.799999,17.120001,17.120001,16715600
2010-01-15,17.250000,17.250000,16.750000,16.820000,16.820000,18415000
2010-01-19,16.780001,16.959999,16.639999,16.750000,16.750000,15182600
2010-01-20,16.650000,16.680000,16.250000,16.379999,16.379999,14419500
2010-01-21,16.389999,16.580000,16.100000,16.200001,16.200001,21858400
2010-01-22,16.080000,16.209999,15.810000,15.880000,15.880000,25132800
2010-01-25,16.070000,16.110001,15.740000,15.860000,15.860000,19683700
2010-01-26,15.820000,16.170000,15.700000,15.990000,15.990000,43979400
2010-01-27,16.459999,16.490000,15.770000,15.980000,15.980000,41701000
2010-01-28,15.930000,15.960000,15.440000,15.440000,15.440000,30159500
2010-01-29,15.510000,15.670000,14.900000,15.010000,15.010000,39664600
2010-02-01,15.140000,15.300000,14.870000,15.050000,15.050000,29865700
2010-02-02,15.100000,15.320000,15.030000,15.170000,15.170000,27555200
2010-02-03,15.120000,15.600000,15.120000,15.460000,15.460000,24730600
2010-02-04,15.340000,15.520000,14.990000,15.010000,15.010000,27668100
2010-02-05,15.010000,15.250000,14.920000,15.190000,15.190000,20713800
2010-02-08,15.180000,15.470000,14.950000,14.990000,14.990000,19856400
2010-02-09,15.200000,15.240000,14.940000,15.070000,15.070000,16716900
2010-02-10,15.020000,15.020000,14.480000,14.800000,14.800000,36518100
2010-02-11,14.870000,15.250000,14.770000,15.220000,15.220000,24509500
2010-02-12,15.070000,15.190000,14.850000,15.170000,15.170000,18926400
2010-02-16,15.230000,15.480000,15.180000,15.410000,15.410000,21447200
2010-02-17,15.500000,15.520000,15.320000,15.440000,15.440000,12731900
2010-02-18,15.400000,15.600000,15.320000,15.540000,15.540000,13700100
2010-02-19,15.490000,15.710000,15.330000,15.580000,15.580000,15407900
2010-02-22,15.610000,15.680000,15.440000,15.490000,15.490000,10463500
2010-02-23,15.450000,15.510000,15.140000,15.380000,15.380000,18346700
2010-02-24,15.480000,15.710000,15.330000,15.590000,15.590000,19284200
2010-02-25,15.320000,15.350000,15.130000,15.240000,15.240000,20126900
2010-02-26,15.270000,15.410000,15.160000,15.310000,15.310000,14975600
2010-03-01,15.430000,15.830000,15.400000,15.790000,15.790000,17238000
2010-03-02,15.870000,15.960000,15.670000,15.730000,15.730000,20101800
2010-03-03,15.850000,15.850000,15.550000,15.570000,15.570000,20613800
2010-03-04,15.550000,15.850000,15.520000,15.810000,15.810000,22906000
2010-03-05,15.890000,16.379999,15.890000,16.059999,16.059999,21415000
2010-03-08,16.320000,16.610001,16.299999,16.520000,16.520000,30554000
2010-03-09,16.410000,16.719999,16.400000,16.530001,16.530001,20755200
2010-03-10,16.510000,16.940001,16.510000,16.790001,16.790001,33088600
2010-03-11,16.570000,16.650000,16.100000,16.530001,16.530001,21732900
2010-03-12,16.510000,16.590000,16.260000,16.320000,16.320000,23106400
2010-03-15,16.350000,16.639999,16.280001,16.459999,16.459999,18967700
2010-03-16,16.469999,16.590000,16.230000,16.360001,16.360001,18309900
2010-03-17,16.280001,16.629999,16.280001,16.500000,16.500000,13754600
2010-03-18,16.459999,16.570000,16.320000,16.559999,16.559999,12626200
2010-03-19,16.620001,16.809999,16.340000,16.440001,16.440001,17871000
2010-03-22,16.370001,16.540001,16.320000,16.340000,16.340000,18743500
2010-03-23,16.340000,16.340000,15.970000,16.030001,16.030001,31875700
2010-03-24,16.100000,16.200001,15.920000,16.090000,16.090000,32654500
2010-03-25,16.170000,16.590000,16.139999,16.320000,16.320000,27487400
2010-03-26,16.340000,16.570000,16.309999,16.540001,16.540001,23224900
2010-03-29,16.480000,16.680000,16.469999,16.559999,16.559999,14902800
2010-03-30,16.549999,16.690001,16.389999,16.610001,16.610001,16204100
2010-03-31,16.450001,16.580000,16.420000,16.530001,16.530001,11996900
2010-04-01,16.580000,16.600000,16.219999,16.290001,16.290001,20103800
2010-04-05,16.389999,16.559999,16.299999,16.510000,16.510000,9220200
2010-04-06,16.549999,16.980000,16.420000,16.920000,16.920000,25696700
2010-04-07,16.780001,16.920000,16.760000,16.870001,16.870001,19921000
2010-04-08,16.910000,17.410000,16.900000,17.350000,17.350000,45369200
2010-04-09,17.420000,18.070000,17.250000,17.520000,17.520000,47732000
2010-04-12,17.520000,17.879999,17.410000,17.639999,17.639999,22828900
2010-04-13,17.510000,18.299999,17.400000,18.180000,18.180000,47514500
2010-04-14,18.150000,18.469999,18.059999,18.379999,18.379999,41024800
2010-04-15,18.299999,19.120001,18.129999,18.969999,18.969999,60024700
2010-04-16,18.670000,18.680000,17.959999,18.170000,18.170000,51424700
2010-04-19,18.010000,18.400000,17.990000,18.389999,18.389999,26971800
2010-04-20,18.500000,18.530001,18.230000,18.379999,18.379999,39171900
2010-04-21,17.580000,17.780001,17.299999,17.450001,17.450001,71686200
2010-04-22,17.370001,17.780001,17.150000,17.719999,17.719999,36231400
2010-04-23,17.709999,17.830000,17.500000,17.639999,17.639999,18901000
2010-04-26,17.690001,17.719999,17.340000,17.389999,17.389999,17363800
2010-04-27,17.280001,17.360001,16.879999,16.920000,16.920000,22851000
2010-04-28,16.980000,17.000000,16.629999,16.750000,16.750000,26452500
2010-04-29,16.820000,17.049999,16.780001,16.969999,16.969999,16788100
2010-04-30,17.110001,17.129999,16.530001,16.530001,16.530001,19688200
2010-05-03,16.680000,16.990000,16.559999,16.950001,16.950001,18162400
2010-05-04,16.629999,16.900000,16.250000,16.320000,16.320000,31375300
2010-05-05,16.170000,16.700001,16.110001,16.490000,16.490000,23004200
2010-05-06,16.340000,16.510000,15.430000,15.920000,15.920000,32125800
2010-05-07,15.770000,15.950000,15.250000,15.290000,15.290000,43941000
2010-05-10,16.040001,16.830000,16.000000,16.330000,16.330000,28103500
2010-05-11,15.950000,16.639999,15.910000,16.410000,16.410000,27786500
2010-05-12,16.450001,16.500000,16.330000,16.469999,16.469999,16405900
2010-05-13,16.490000,16.500000,16.080000,16.139999,16.139999,15363800
2010-05-14,16.510000,16.660000,16.139999,16.389999,16.389999,28111400
2010-05-17,16.410000,16.469999,15.960000,16.270000,16.270000,21935000
2010-05-18,16.270000,16.440001,15.950000,16.030001,16.030001,16182200
2010-05-19,15.830000,16.000000,15.510000,15.790000,15.790000,20485400
2010-05-20,15.450000,15.490000,15.060000,15.100000,15.100000,33789000
2010-05-21,14.810000,15.900000,14.630000,15.480000,15.480000,31215300
2010-05-24,15.420000,15.790000,15.360000,15.540000,15.540000,20116800
2010-05-25,15.040000,15.310000,14.890000,15.310000,15.310000,27856300
2010-05-26,15.600000,15.830000,15.430000,15.450000,15.450000,33656000
2010-05-27,15.830000,15.840000,15.360000,15.690000,15.690000,31091700
2010-05-28,15.610000,15.690000,15.000000,15.340000,15.340000,17619700
2010-06-01,15.310000,15.550000,14.980000,15.020000,15.020000,30475500
2010-06-02,15.040000,15.200000,14.960000,15.180000,15.180000,24993000
2010-06-03,15.320000,15.500000,15.160000,15.430000,15.430000,28395100
2010-06-04,15.120000,15.380000,14.960000,15.000000,15.000000,23606400
2010-06-07,15.190000,15.360000,14.940000,14.940000,14.940000,19153200
2010-06-08,15.050000,15.120000,14.620000,14.790000,14.790000,35500700
2010-06-09,14.930000,15.060000,14.650000,14.690000,14.690000,18108600
2010-06-10,14.940000,15.140000,14.870000,15.100000,15.100000,21249100
2010-06-11,15.020000,15.350000,14.980000,15.290000,15.290000,14056600
2010-06-14,15.460000,15.490000,15.150000,15.170000,15.170000,12493100
2010-06-15,15.290000,15.690000,15.230000,15.650000,15.650000,13888300
2010-06-16,15.580000,15.650000,15.340000,15.490000,15.490000,15920300
2010-06-17,15.720000,15.720000,15.440000,15.600000,15.600000,10769300
2010-06-18,15.660000,15.670000,15.470000,15.540000,15.540000,12767100
2010-06-21,15.710000,15.840000,15.090000,15.210000,15.210000,20412800
2010-06-22,15.240000,15.510000,15.070000,15.090000,15.090000,22418100
2010-06-23,15.140000,15.390000,14.950000,15.230000,15.230000,13374000
2010-06-24,15.110000,15.190000,14.700000,14.830000,14.830000,18287700
2010-06-25,14.860000,14.920000,14.570000,14.810000,14.810000,29817600
2010-06-28,14.830000,14.860000,14.580000,14.730000,14.730000,8175400
2010-06-29,14.530000,14.540000,13.880000,14.040000,14.040000,31825900
2010-06-30,13.950000,14.220000,13.790000,13.840000,13.840000,23912900
2010-07-01,13.990000,14.150000,13.750000,14.090000,14.090000,33222500
2010-07-02,14.080000,14.240000,14.030000,14.070000,14.070000,18564400
2010-07-06,14.230000,14.460000,14.000000,14.130000,14.130000,17334100
2010-07-07,14.180000,14.420000,14.120000,14.400000,14.400000,17417900
2010-07-08,14.430000,14.770000,14.400000,14.600000,14.600000,17088700
2010-07-09,14.600000,14.930000,14.590000,14.890000,14.890000,12682000
2010-07-12,14.930000,15.210000,14.780000,14.940000,14.940000,15585900
2010-07-13,15.060000,15.600000,14.990000,15.520000,15.520000,22328800
2010-07-14,15.320000,15.420000,15.200000,15.370000,15.370000,12255700
2010-07-15,15.310000,15.390000,15.040000,15.370000,15.370000,12626600
2010-07-16,15.330000,15.370000,13.860000,14.900000,14.900000,16829800
2010-07-19,15.230000,15.380000,15.020000,15.100000,15.100000,16168200
2010-07-20,14.990000,15.280000,14.800000,15.200000,15.200000,29578300
2010-07-21,14.270000,14.280000,13.750000,13.910000,13.910000,78035800
2010-07-22,13.890000,14.170000,13.810000,13.880000,13.880000,42677600
2010-07-23,13.780000,14.040000,13.520000,13.990000,13.990000,34318400
2010-07-26,13.960000,14.220000,13.950000,14.150000,14.150000,23247800
2010-07-27,14.070000,14.100000,13.890000,13.950000,13.950000,20971000
2010-07-28,13.910000,13.990000,13.850000,13.870000,13.870000,13522600
2010-07-29,13.900000,13.960000,13.750000,13.760000,13.760000,16703000
2010-07-30,13.690000,13.980000,13.680000,13.880000,13.880000,18380400
2010-08-02,14.010000,14.080000,13.960000,14.000000,14.000000,14167200
2010-08-03,13.950000,14.070000,13.910000,13.940000,13.940000,14098600
2010-08-04,14.000000,14.200000,13.920000,14.180000,14.180000,14297200
2010-08-05,14.160000,14.250000,14.020000,14.160000,14.160000,13072700
2010-08-06,14.060000,14.380000,14.000000,14.340000,14.340000,13394800
2010-08-09,14.340000,14.520000,14.340000,14.400000,14.400000,12202600
2010-08-10,14.260000,14.460000,14.200000,14.350000,14.350000,9658000
2010-08-11,14.140000,14.200000,13.840000,13.870000,13.870000,13235500
2010-08-12,13.770000,13.990000,13.750000,13.850000,13.850000,11659900
2010-08-13,13.810000,13.960000,13.760000,13.830000,13.830000,7845600
2010-08-16,13.750000,13.900000,13.680000,13.790000,13.790000,11416400
2010-08-17,13.840000,14.000000,13.750000,13.940000,13.940000,13298600
2010-08-18,13.980000,14.050000,13.840000,13.990000,13.990000,15533300
2010-08-19,13.850000,14.000000,13.800000,13.850000,13.850000,14100700
2010-08-20,13.850000,13.950000,13.740000,13.790000,13.790000,17192200
2010-08-23,13.810000,13.870000,13.540000,13.650000,13.650000,12297600
2010-08-24,13.530000,13.640000,13.390000,13.400000,13.400000,13425800
2010-08-25,13.290000,13.370000,13.140000,13.260000,13.260000,15556800
2010-08-26,13.360000,13.400000,13.210000,13.210000,13.210000,14602700
2010-08-27,13.240000,13.470000,13.030000,13.430000,13.430000,12705600
2010-08-30,13.270000,13.420000,13.180000,13.180000,13.180000,7120900
2010-08-31,13.110000,13.140000,12.940000,13.110000,13.110000,16489500
2010-09-01,13.200000,13.410000,13.130000,13.370000,13.370000,24616700
2010-09-02,13.330000,13.550000,13.260000,13.510000,13.510000,18190200
2010-09-03,13.690000,13.750000,13.560000,13.620000,13.620000,12478500
2010-09-07,13.560000,13.620000,13.500000,13.530000,13.530000,10240600
2010-09-08,13.660000,13.820000,13.620000,13.750000,13.750000,12102700
2010-09-09,13.880000,13.920000,13.570000,13.650000,13.650000,17735500
2010-09-10,13.680000,13.770000,13.540000,13.680000,13.680000,18590100
2010-09-13,13.830000,13.880000,13.610000,13.730000,13.730000,24261400
2010-09-14,13.760000,13.760000,13.600000,13.630000,13.630000,23064500
2010-09-15,14.030000,14.350000,13.770000,14.270000,14.270000,90035400
2010-09-16,14.200000,14.230000,13.980000,14.190000,14.190000,27281500
2010-09-17,14.330000,14.330000,13.880000,13.890000,13.890000,79565400
2010-09-20,13.950000,14.060000,13.840000,13.860000,13.860000,26234600
2010-09-21,13.940000,14.260000,13.920000,14.180000,14.180000,32048400
2010-09-22,14.190000,14.250000,13.970000,14.040000,14.040000,18567400
2010-09-23,13.930000,14.240000,13.930000,14.170000,14.170000,16931600
2010-09-24,14.300000,14.510000,14.240000,14.500000,14.500000,24154800
2010-09-27,14.460000,14.530000,14.250000,14.280000,14.280000,20674000
2010-09-28,14.330000,14.450000,14.140000,14.390000,14.390000,16074100
2010-09-29,14.360000,14.390000,14.060000,14.340000,14.340000,24475700
2010-09-30,14.260000,14.350000,13.990000,14.170000,14.170000,20376200
2010-10-01,14.190000,14.350000,14.130000,14.270000,14.270000,16096500
2010-10-04,14.200000,14.320000,14.130000,14.280000,14.280000,20557500
2010-10-05,14.450000,14.770000,14.400000,14.610000,14.610000,23988400
2010-10-06,14.600000,14.700000,14.340000,14.520000,14.520000,20297000
2010-10-07,14.600000,14.610000,14.140000,14.230000,14.230000,18068600
2010-10-08,14.210000,14.560000,14.180000,14.490000,14.490000,16102900
2010-10-11,14.450000,14.580000,14.380000,14.410000,14.410000,8348200
2010-10-12,14.360000,14.470000,14.270000,14.430000,14.430000,12465700
2010-10-13,14.570000,15.480000,14.500000,15.250000,15.250000,50773400
2010-10-14,16.750000,16.760000,15.750000,15.930000,15.930000,123449900
2010-10-15,16.170000,16.730000,15.900000,16.250000,16.250000,58481800
2010-10-18,16.200001,16.280001,15.750000,15.930000,15.930000,35876500
2010-10-19,15.730000,15.800000,15.370000,15.490000,15.490000,32678600
2010-10-20,15.790000,16.250000,15.790000,15.800000,15.800000,37790200
2010-10-21,15.900000,16.000000,15.730000,15.970000,15.970000,26935500
2010-10-22,15.900000,16.410000,15.860000,16.309999,16.309999,24264100
2010-10-25,16.299999,16.440001,16.150000,16.400000,16.400000,17251500
2010-10-26,16.219999,16.480000,16.200001,16.459999,16.459999,22349000
2010-10-27,16.400000,16.430000,16.200001,16.420000,16.420000,13764400
2010-10-28,16.450001,16.450001,16.309999,16.400000,16.400000,12689500
2010-10-29,16.370001,16.520000,16.330000,16.490000,16.490000,16013700
2010-11-01,16.500000,16.520000,16.080000,16.150000,16.150000,14360600
2010-11-02,16.290001,16.400000,16.180000,16.190001,16.190001,9964700
2010-11-03,16.209999,16.230000,16.010000,16.170000,16.170000,17325500
2010-11-04,16.309999,16.350000,16.020000,16.200001,16.200001,26484700
2010-11-05,16.180000,16.400000,16.180000,16.270000,16.270000,13414000
2010-11-08,16.290001,16.500000,16.250000,16.440001,16.440001,15561500
2010-11-09,17.219999,17.600000,16.860001,16.969999,16.969999,56218900
2010-11-10,17.000000,17.010000,16.750000,16.940001,16.940001,17012600
2010-11-11,16.629999,16.860001,16.520000,16.799999,16.799999,15310600
2010-11-12,16.650000,16.750000,16.400000,16.549999,16.549999,17703400
2010-11-15,16.559999,16.889999,16.330000,16.600000,16.600000,18934600
2010-11-16,16.450001,16.490000,16.100000,16.240000,16.240000,23484100
2010-11-17,16.209999,16.330000,16.110001,16.150000,16.150000,10305800
2010-11-18,16.400000,17.170000,16.290001,16.990000,16.990000,46500100
2010-11-19,16.969999,16.969999,16.520000,16.570000,16.570000,24036200
2010-11-22,16.430000,16.650000,16.250000,16.559999,16.559999,14316900
2010-11-23,16.340000,16.430000,16.040001,16.190001,16.190001,22437900
2010-11-24,16.309999,16.480000,16.150000,16.410000,16.410000,11561700
2010-11-26,16.250000,16.400000,16.219999,16.219999,16.219999,4953900
2010-11-29,16.100000,16.450001,15.950000,16.379999,16.379999,14653000
2010-11-30,16.200001,16.340000,15.770000,15.820000,15.820000,24981100
2010-12-01,16.000000,16.400000,16.000000,16.150000,16.150000,17435900
2010-12-02,16.200001,16.410000,16.120001,16.330000,16.330000,13167300
2010-12-03,16.270000,16.370001,16.200001,16.350000,16.350000,9228000
2010-12-06,16.469999,16.600000,16.299999,16.330000,16.330000,12063800
2010-12-07,16.500000,17.070000,16.500000,16.940001,16.940001,29056400
2010-12-08,17.010000,17.219999,16.959999,17.020000,17.020000,21773300
2010-12-09,17.120001,17.190001,16.799999,16.950001,16.950001,8673300
2010-12-10,16.969999,17.049999,16.910000,17.010000,17.010000,8985300
2010-12-13,16.900000,16.990000,16.690001,16.700001,16.700001,12755400
2010-12-14,16.770000,16.840000,16.570000,16.629999,16.629999,11429500
2010-12-15,16.549999,16.730000,16.420000,16.450001,16.450001,10944200
2010-12-16,16.450001,16.700001,16.440001,16.510000,16.510000,12940500
2010-12-17,16.510000,16.660000,16.320000,16.379999,16.379999,24896100
2010-12-20,16.379999,16.420000,16.150000,16.280001,16.280001,17566400
2010-12-21,16.309999,16.680000,16.200001,16.600000,16.600000,11394700
2010-12-22,16.670000,16.780001,16.559999,16.629999,16.629999,6767500
2010-12-23,16.559999,16.730000,16.450001,16.719999,16.719999,8889200
2010-12-27,16.620001,16.629999,16.400000,16.480000,16.480000,7492300
2010-12-28,16.469999,16.540001,16.330000,16.430000,16.430000,8389100
2010-12-29,16.500000,16.770000,16.430000,16.610001,16.610001,7668600
2010-12-30,16.600000,16.770000,16.520000,16.760000,16.760000,8318900
2010-12-31,16.740000,16.760000,16.469999,16.629999,16.629999,7754500
2011-01-03,16.809999,16.940001,16.670000,16.750000,16.750000,17684000
2011-01-04,16.709999,16.830000,16.570000,16.590000,16.590000,11092800
2011-01-05,16.549999,16.910000,16.340000,16.910000,16.910000,23447700
2011-01-06,16.900000,17.340000,16.770000,17.059999,17.059999,30656800
2011-01-07,17.030001,17.170000,16.650000,16.900000,16.900000,19869500
2011-01-10,16.780001,16.799999,16.500000,16.600000,16.600000,16176700
2011-01-11,16.700001,16.730000,16.530001,16.580000,16.580000,14615700
2011-01-12,16.709999,16.809999,16.590000,16.650000,16.650000,15066200
2011-01-13,16.639999,16.920000,16.570000,16.750000,16.750000,15961000
2011-01-14,16.670000,16.830000,16.600000,16.809999,16.809999,13593500
2011-01-18,16.620001,16.680000,16.420000,16.500000,16.500000,21392500
2011-01-19,16.490000,16.549999,16.230000,16.309999,16.309999,17130000
2011-01-20,16.290001,16.330000,16.090000,16.230000,16.230000,14622700
2011-01-21,16.270000,16.309999,15.930000,15.970000,15.970000,23366200
2011-01-24,16.000000,16.240000,15.760000,16.090000,16.090000,23375300
2011-01-25,16.170000,16.190001,15.850000,16.020000,16.020000,26673100
2011-01-26,15.930000,16.049999,15.410000,15.570000,15.570000,49690800
2011-01-27,15.580000,16.360001,15.580000,16.200001,16.200001,39067000
2011-01-28,16.150000,16.209999,15.680000,15.830000,15.830000,24734000
2011-01-31,15.820000,16.200001,15.790000,16.120001,16.120001,22911400
2011-02-01,16.330000,16.459999,16.230000,16.379999,16.379999,26938900
2011-02-02,16.250000,16.660000,16.250000,16.570000,16.570000,21106800
2011-02-03,16.480000,16.910000,16.400000,16.690001,16.690001,33314600
2011-02-04,16.740000,16.910000,16.450001,16.790001,16.790001,19127900
2011-02-07,16.809999,17.000000,16.770000,16.799999,16.799999,16046500
2011-02-08,16.830000,16.850000,16.480000,16.600000,16.600000,17932000
2011-02-09,16.540001,16.700001,16.350000,16.430000,16.430000,17778700
2011-02-10,16.389999,16.719999,16.350000,16.620001,16.620001,15430500
2011-02-11,16.580000,16.870001,16.540001,16.850000,16.850000,15386300
2011-02-14,16.840000,16.930000,16.719999,16.889999,16.889999,14503000
2011-02-15,16.799999,17.389999,16.780001,17.200001,17.200001,31395200
2011-02-16,17.230000,17.820000,17.209999,17.760000,17.760000,41824100
2011-02-17,17.750000,17.820000,17.500000,17.770000,17.770000,23566600
2011-02-18,17.690001,17.840000,17.570000,17.660000,17.660000,13729900
2011-02-22,17.080000,17.389999,16.870001,16.910000,16.910000,34759500
2011-02-23,17.030001,17.100000,16.350000,16.580000,16.580000,35225100
2011-02-24,16.660000,16.730000,16.040001,16.370001,16.370001,31570400
2011-02-25,16.389999,16.770000,16.379999,16.500000,16.500000,16939600
2011-02-28,16.370001,16.600000,16.280001,16.400000,16.400000,20210300
2011-03-01,16.459999,16.490000,16.080000,16.100000,16.100000,16702800
2011-03-02,16.650000,16.850000,16.600000,16.629999,16.629999,24521100
2011-03-03,16.850000,17.049999,16.760000,16.860001,16.860001,35202100
2011-03-04,16.750000,17.200001,16.719999,17.080000,17.080000,20274200
2011-03-07,17.070000,17.150000,16.490000,16.700001,16.700001,18770800
2011-03-08,16.740000,17.020000,16.719999,16.940001,16.940001,12717200
2011-03-09,16.889999,17.700001,16.850000,17.650000,17.650000,33798000
2011-03-10,17.299999,17.389999,16.930000,17.059999,17.059999,25659700
2011-03-11,17.000000,17.540001,17.000000,17.420000,17.420000,19454900
2011-03-14,17.240000,17.440001,17.090000,17.309999,17.309999,21615500
2011-03-15,16.660000,16.680000,16.040001,16.330000,16.330000,51489300
2011-03-16,16.330000,16.480000,15.850000,15.910000,15.910000,38378500
2011-03-17,16.160000,16.420000,15.810000,15.860000,15.860000,37548800
2011-03-18,16.100000,16.190001,16.010000,16.030001,16.030001,26660400
2011-03-21,16.180000,16.500000,16.160000,16.290001,16.290001,20613700
2011-03-22,16.290001,16.480000,16.160000,16.360001,16.360001,30692400
2011-03-23,16.299999,16.340000,15.980000,16.129999,16.129999,30842500
2011-03-24,16.190001,16.910000,16.170000,16.830000,16.830000,20120300
2011-03-25,16.940001,17.049999,16.700001,16.959999,16.959999,21047200
2011-03-28,17.010000,17.059999,16.580000,16.580000,16.580000,16066700
2011-03-29,16.600000,16.780001,16.530001,16.750000,16.750000,10037900
2011-03-30,16.830000,16.920000,16.680000,16.740000,16.740000,12944600
2011-03-31,16.709999,16.879999,16.650000,16.680000,16.680000,15131500
2011-04-01,16.830000,16.980000,16.719999,16.840000,16.840000,12487400
2011-04-04,16.900000,17.049999,16.809999,16.870001,16.870001,9560800
2011-04-05,16.809999,17.290001,16.790001,17.110001,17.110001,18464500
2011-04-06,17.170000,17.200001,16.940001,17.049999,17.049999,13298700
2011-04-07,16.910000,17.100000,16.790001,17.000000,17.000000,12778700
2011-04-08,17.080000,17.110001,16.770000,16.770000,16.770000,13114200
2011-04-11,16.910000,16.959999,16.370001,16.590000,16.590000,34841900
2011-04-12,16.549999,16.639999,16.290001,16.360001,16.360001,19783600
2011-04-13,16.430000,16.690001,16.430000,16.639999,16.639999,16700400
2011-04-14,16.549999,16.820000,16.430000,16.690001,16.690001,16595500
2011-04-15,16.639999,16.780001,16.540001,16.620001,16.620001,14756500
2011-04-18,16.350000,16.440001,16.059999,16.350000,16.350000,21935700
2011-04-19,16.209999,16.360001,16.080000,16.120001,16.120001,31547400
2011-04-20,16.700001,17.230000,16.590000,16.870001,16.870001,34310400
2011-04-21,16.930000,16.940001,16.740000,16.850000,16.850000,13985200
2011-04-25,17.010000,17.309999,16.900000,17.110001,17.110001,17771500
2011-04-26,17.110001,17.370001,17.020000,17.280001,17.280001,20000000
2011-04-27,17.299999,17.430000,17.180000,17.260000,17.260000,16642400
2011-04-28,17.219999,17.530001,17.170000,17.510000,17.510000,14400000
2011-04-29,17.459999,17.770000,17.360001,17.700001,17.700001,30800000
2011-05-02,17.790001,18.350000,17.570000,18.139999,18.139999,44030600
2011-05-03,18.230000,18.639999,17.879999,17.920000,17.920000,32600000
2011-05-04,17.990000,18.379999,17.959999,18.200001,18.200001,23584900
2011-05-05,18.120001,18.559999,18.049999,18.430000,18.430000,30800000
2011-05-06,18.590000,18.799999,18.379999,18.650000,18.650000,29690800
2011-05-09,18.600000,18.840000,18.540001,18.559999,18.559999,15595600
2011-05-10,18.670000,18.700001,18.420000,18.549999,18.549999,18475100
2011-05-11,18.450001,18.610001,16.740000,17.200001,17.200001,131200000
2011-05-12,17.120001,17.809999,16.930000,17.170000,17.170000,53000000
2011-05-13,16.139999,16.840000,15.960000,16.549999,16.549999,120057600
2011-05-16,16.680000,16.690001,15.630000,15.810000,15.810000,62082200
2011-05-17,15.880000,16.070000,15.730000,16.000000,16.000000,31205200
2011-05-18,16.070000,16.160000,15.750000,15.960000,15.960000,25880200
2011-05-19,16.049999,16.490000,16.040001,16.350000,16.350000,40356400
2011-05-20,16.320000,16.440001,16.150000,16.299999,16.299999,23582700
2011-05-23,16.049999,16.170000,16.000000,16.059999,16.059999,19300000
2011-05-24,16.110001,16.410000,16.049999,16.139999,16.139999,23150600
2011-05-25,16.190001,16.990000,16.100000,16.150000,16.150000,34172600
2011-05-26,16.180000,16.219999,15.880000,15.980000,15.980000,23999500
2011-05-27,16.030001,16.190001,15.950000,16.020000,16.020000,20091200
2011-05-31,16.170000,16.590000,16.120001,16.549999,16.549999,30266600
2011-06-01,16.340000,16.430000,15.790000,15.850000,15.850000,40295600
2011-06-02,16.000000,16.110001,15.870000,16.020000,16.020000,21005000
2011-06-03,15.820000,16.000000,15.630000,15.680000,15.680000,22245200
2011-06-06,15.650000,15.850000,15.410000,15.450000,15.450000,18200400
2011-06-07,15.540000,15.650000,15.320000,15.450000,15.450000,16516100
2011-06-08,15.370000,15.380000,15.080000,15.100000,15.100000,21986600
2011-06-09,15.180000,15.330000,14.940000,15.220000,15.220000,18681900
2011-06-10,15.270000,15.730000,15.110000,15.200000,15.200000,19452400
2011-06-13,15.200000,15.340000,15.100000,15.160000,15.160000,14581200
2011-06-14,15.260000,15.560000,15.190000,15.200000,15.200000,21994400
2011-06-15,15.010000,15.050000,14.500000,14.810000,14.810000,41286100
2011-06-16,15.010000,15.090000,14.650000,14.780000,14.780000,24446700
2011-06-17,14.980000,14.980000,14.560000,14.700000,14.700000,22963400
2011-06-20,14.660000,15.420000,14.660000,14.990000,14.990000,32646500
2011-06-21,15.030000,15.380000,14.910000,15.350000,15.350000,17507800
2011-06-22,15.290000,15.530000,15.190000,15.230000,15.230000,30154700
2011-06-23,15.080000,15.090000,14.720000,15.080000,15.080000,32524700
2011-06-24,15.080000,15.160000,14.850000,14.890000,14.890000,25340600
2011-06-27,14.870000,14.980000,14.770000,14.880000,14.880000,13836300
2011-06-28,14.950000,15.180000,14.880000,14.950000,14.950000,16056600
2011-06-29,14.960000,15.050000,14.680000,14.890000,14.890000,25465200
2011-06-30,14.980000,15.100000,14.640000,15.040000,15.040000,34905700
2011-07-01,15.080000,15.500000,15.020000,15.450000,15.450000,16272500
2011-07-05,15.400000,15.670000,15.250000,15.490000,15.490000,20481700
2011-07-06,15.530000,15.810000,15.520000,15.720000,15.720000,18287200
2011-07-07,15.780000,15.950000,15.700000,15.810000,15.810000,20991400
2011-07-08,15.620000,15.690000,15.440000,15.610000,15.610000,14364900
2011-07-11,15.430000,15.440000,14.990000,15.050000,15.050000,21486700
2011-07-12,15.010000,15.180000,14.850000,14.860000,14.860000,22791100
2011-07-13,15.010000,15.100000,14.870000,14.910000,14.910000,16646100
2011-07-14,14.880000,14.990000,14.600000,14.630000,14.630000,27078600
2011-07-15,14.750000,14.940000,14.610000,14.690000,14.690000,19745100
2011-07-18,14.680000,14.690000,14.370000,14.420000,14.420000,24504800
2011-07-19,14.570000,14.690000,14.450000,14.590000,14.590000,30168200
2011-07-20,14.150000,14.150000,13.450000,13.480000,13.480000,63098400
2011-07-21,13.500000,13.630000,13.360000,13.590000,13.590000,30487100
2011-07-22,13.650000,14.050000,13.570000,13.980000,13.980000,30144800
2011-07-25,13.840000,13.880000,13.680000,13.690000,13.690000,16725400
2011-07-26,13.700000,13.990000,13.650000,13.940000,13.940000,20934200
2011-07-27,13.870000,13.900000,13.570000,13.590000,13.590000,20559500
2011-07-28,13.600000,13.710000,13.430000,13.500000,13.500000,20636500
2011-07-29,13.890000,14.070000,13.040000,13.100000,13.100000,67798500
2011-08-01,13.240000,13.340000,12.950000,13.100000,13.100000,26880000
2011-08-02,12.960000,13.180000,12.750000,12.760000,12.760000,25800300
2011-08-03,12.770000,13.070000,12.530000,13.020000,13.020000,26161900
2011-08-04,12.800000,12.860000,11.990000,12.000000,12.000000,39442300
2011-08-05,12.080000,12.120000,11.410000,11.740000,11.740000,47066200
2011-08-08,11.430000,11.800000,11.090000,11.090000,11.090000,59577600
2011-08-09,11.300000,12.090000,11.250000,12.090000,12.090000,47484100
2011-08-10,11.770000,12.140000,11.620000,11.770000,11.770000,48027400
2011-08-11,11.890000,12.920000,11.880000,12.860000,12.860000,51098800
2011-08-12,12.810000,13.620000,12.760000,13.590000,13.590000,48472500
2011-08-15,13.630000,13.690000,13.270000,13.470000,13.470000,25682800
2011-08-16,13.340000,13.570000,13.180000,13.480000,13.480000,25581900
2011-08-17,13.490000,13.620000,13.320000,13.470000,13.470000,17006500
2011-08-18,13.020000,13.090000,12.800000,12.960000,12.960000,30447700
2011-08-19,12.750000,13.080000,12.720000,12.920000,12.920000,26183900
2011-08-22,13.160000,13.230000,12.770000,12.840000,12.840000,14199400
2011-08-23,12.910000,13.350000,12.750000,13.350000,13.350000,17186500
2011-08-24,13.280000,13.300000,12.790000,13.150000,13.150000,24967200
2011-08-25,13.120000,13.210000,12.810000,12.870000,12.870000,21811800
2011-08-26,12.800000,12.890000,12.520000,12.740000,12.740000,35882600
2011-08-29,12.900000,13.680000,12.690000,13.680000,13.680000,30990800
2011-08-30,13.300000,13.980000,13.230000,13.840000,13.840000,29162300
2011-08-31,13.910000,13.940000,13.540000,13.610000,13.610000,25390700
2011-09-01,13.670000,13.780000,13.320000,13.350000,13.350000,17962700
2011-09-02,13.120000,13.130000,12.860000,12.870000,12.870000,20508600
2011-09-06,12.520000,12.950000,12.450000,12.910000,12.910000,54455300
2011-09-07,13.750000,14.000000,13.240000,13.610000,13.610000,77324200
2011-09-08,13.570000,14.490000,13.370000,14.440000,14.440000,93972000
2011-09-09,14.360000,14.570000,14.070000,14.480000,14.480000,60031900
2011-09-12,14.120000,14.280000,13.920000,14.260000,14.260000,32692700
2011-09-13,14.300000,14.340000,14.120000,14.260000,14.260000,19928800
2011-09-14,14.470000,14.940000,14.340000,14.550000,14.550000,37385000
2011-09-15,14.730000,15.400000,14.510000,14.890000,14.890000,58585100
2011-09-16,15.090000,15.340000,14.940000,14.970000,14.970000,56827900
2011-09-19,14.760000,14.790000,14.400000,14.610000,14.610000,27290100
2011-09-20,14.530000,14.660000,14.280000,14.360000,14.360000,21767200
2011-09-21,14.380000,14.600000,13.960000,13.960000,13.960000,32012800
2011-09-22,14.200000,14.250000,13.690000,13.990000,13.990000,60456300
2011-09-23,14.230000,14.830000,14.120000,14.710000,14.710000,49333200
2011-09-26,14.790000,14.800000,14.230000,14.750000,14.750000,24466200
2011-09-27,14.920000,15.000000,14.440000,14.540000,14.540000,25084400
2011-09-28,14.610000,14.620000,14.150000,14.190000,14.190000,21284700
2011-09-29,14.340000,14.390000,13.150000,13.420000,13.420000,45776600
2011-09-30,13.210000,13.440000,13.110000,13.170000,13.170000,30232800
2011-10-03,13.700000,14.040000,13.370000,13.530000,13.530000,43196300
2011-10-04,14.000000,14.480000,13.870000,14.460000,14.460000,44487200
2011-10-05,14.660000,16.150000,14.390000,15.920000,15.920000,97330200
2011-10-06,15.160000,15.800000,14.920000,15.650000,15.650000,49961100
2011-10-07,15.640000,15.750000,15.380000,15.470000,15.470000,27954000
2011-10-10,15.860000,16.040001,15.620000,15.840000,15.840000,33085000
2011-10-11,15.790000,15.950000,15.590000,15.860000,15.860000,18050300
2011-10-12,15.930000,15.950000,15.670000,15.770000,15.770000,20585400
2011-10-13,15.760000,16.370001,15.540000,15.930000,15.930000,32487300
2011-10-14,16.129999,16.150000,15.660000,15.910000,15.910000,23520100
2011-10-17,15.950000,16.040001,15.650000,15.700000,15.700000,21204000
2011-10-18,15.720000,15.740000,15.110000,15.470000,15.470000,31377900
2011-10-19,16.040001,16.790001,15.730000,15.940000,15.940000,54264500
2011-10-20,16.200001,16.490000,15.970000,16.180000,16.180000,40816900
2011-10-21,16.379999,16.389999,16.059999,16.120001,16.120001,29739400
2011-10-24,16.570000,16.750000,16.309999,16.709999,16.709999,29864000
2011-10-25,16.660000,16.700001,16.180000,16.240000,16.240000,24059700
2011-10-26,16.330000,16.440001,15.860000,16.299999,16.299999,23630100
2011-10-27,16.559999,16.700001,16.450001,16.629999,16.629999,19772200
2011-10-28,16.410000,16.700001,16.250000,16.559999,16.559999,20286900
2011-10-31,16.059999,16.070000,15.450000,15.640000,15.640000,39763700
2011-11-01,14.950000,15.080000,14.750000,14.930000,14.930000,41834700
2011-11-02,15.100000,15.300000,15.000000,15.100000,15.100000,20758800
2011-11-03,15.200000,15.500000,15.030000,15.480000,15.480000,16809500
2011-11-04,15.390000,15.540000,14.950000,15.240000,15.240000,41853000
2011-11-07,15.260000,15.700000,15.250000,15.690000,15.690000,22390700
2011-11-08,15.870000,16.180000,15.810000,15.970000,15.970000,25079700
2011-11-09,16.170000,16.500000,15.870000,15.920000,15.920000,45328300
2011-11-10,16.180000,16.219999,15.840000,15.950000,15.950000,15366400
2011-11-11,15.960000,16.309999,15.910000,16.270000,16.270000,14541600
2011-11-14,16.170000,16.309999,15.930000,16.000000,16.000000,14277600
2011-11-15,15.930000,16.049999,15.700000,15.930000,15.930000,17650700
2011-11-16,15.800000,16.100000,15.700000,15.720000,15.720000,14367600
2011-11-17,15.690000,15.770000,15.200000,15.340000,15.340000,17443700
2011-11-18,15.570000,15.690000,15.370000,15.380000,15.380000,17160300
2011-11-21,15.190000,15.190000,14.770000,14.990000,14.990000,23676900
2011-11-22,14.880000,15.080000,14.750000,14.970000,14.970000,14836000
2011-11-23,15.200000,15.240000,14.830000,14.940000,14.940000,20125200
2011-11-25,15.000000,15.250000,14.900000,15.100000,15.100000,10781800
2011-11-28,15.240000,15.470000,15.210000,15.350000,15.350000,19029000
2011-11-29,15.600000,15.940000,15.450000,15.700000,15.700000,29294000
2011-11-30,15.900000,16.040001,15.650000,15.710000,15.710000,34718200
2011-12-01,16.420000,16.459999,16.090000,16.230000,16.230000,47059800
2011-12-02,16.309999,16.410000,16.030001,16.049999,16.049999,22714500
2011-12-05,16.110001,16.139999,15.830000,15.890000,15.890000,19896500
2011-12-06,15.900000,16.049999,15.840000,15.840000,15.840000,17333200
2011-12-07,15.820000,15.860000,15.560000,15.620000,15.620000,19750500
2011-12-08,15.600000,15.760000,15.530000,15.610000,15.610000,18126100
2011-12-09,15.610000,15.960000,15.600000,15.940000,15.940000,13446300
2011-12-12,15.710000,15.720000,15.410000,15.470000,15.470000,14689400
2011-12-13,15.540000,15.740000,15.350000,15.420000,15.420000,15584400
2011-12-14,15.190000,15.280000,14.800000,15.020000,15.020000,27251100
2011-12-15,15.210000,15.290000,15.010000,15.160000,15.160000,14829800
2011-12-16,15.050000,15.260000,14.920000,14.960000,14.960000,32617200
2011-12-19,14.950000,15.000000,14.570000,14.620000,14.620000,21447300
2011-12-20,14.680000,15.190000,14.680000,15.110000,15.110000,15885700
2011-12-21,15.150000,16.240000,14.740000,15.990000,15.990000,47127600
2011-12-22,16.360001,16.400000,15.950000,16.000000,16.000000,33812800
2011-12-23,16.049999,16.260000,15.870000,16.190001,16.190001,17865900
2011-12-27,16.160000,16.170000,16.010000,16.090000,16.090000,9739500
2011-12-28,16.030001,16.049999,15.670000,15.780000,15.780000,14679900
2011-12-29,15.950000,16.230000,15.800000,16.129999,16.129999,15280900
2011-12-30,16.180000,16.209999,16.030001,16.129999,16.129999,10832800
2012-01-03,16.270000,16.389999,16.200001,16.290001,16.290001,19708600
2012-01-04,16.120001,16.160000,15.740000,15.780000,15.780000,35655300
2012-01-05,15.600000,15.690000,15.440000,15.640000,15.640000,19422800
2012-01-06,15.640000,15.660000,15.400000,15.520000,15.520000,13308400
2012-01-09,15.590000,15.610000,15.350000,15.460000,15.460000,13191900
2012-01-10,15.570000,15.710000,15.500000,15.510000,15.510000,14048800
2012-01-11,15.560000,15.620000,15.350000,15.530000,15.530000,10800800
2012-01-12,15.580000,15.730000,15.450000,15.660000,15.660000,12664600
2012-01-13,15.650000,15.670000,15.430000,15.480000,15.480000,11704700
2012-01-17,15.630000,15.660000,15.390000,15.430000,15.430000,15334200
2012-01-18,15.870000,16.000000,15.690000,15.920000,15.920000,35695800
2012-01-19,15.900000,16.150000,15.890000,16.120001,16.120001,22645000
2012-01-20,16.110001,16.110001,15.850000,15.960000,15.960000,22003800
2012-01-23,15.850000,15.930000,15.640000,15.680000,15.680000,17864500
2012-01-24,15.570000,15.810000,15.550000,15.690000,15.690000,17152200
2012-01-25,15.600000,15.710000,15.460000,15.560000,15.560000,23349500
2012-01-26,15.630000,15.690000,15.420000,15.530000,15.530000,15408400
2012-01-27,15.500000,15.800000,15.460000,15.740000,15.740000,10859000
2012-01-30,15.610000,15.650000,15.500000,15.550000,15.550000,11076900
2012-01-31,15.540000,15.620000,15.410000,15.470000,15.470000,10725500
2012-02-01,15.570000,15.800000,15.530000,15.730000,15.730000,13221000
2012-02-02,15.760000,15.820000,15.690000,15.720000,15.720000,9948800
2012-02-03,15.940000,15.980000,15.830000,15.920000,15.920000,13652100
2012-02-06,15.940000,15.950000,15.760000,15.820000,15.820000,11291100
2012-02-07,15.840000,15.890000,15.740000,15.830000,15.830000,13504500
2012-02-08,15.960000,15.970000,15.720000,15.780000,15.780000,13439400
2012-02-09,16.100000,16.100000,15.900000,16.000000,16.000000,22553000
2012-02-10,16.020000,16.309999,16.000000,16.139999,16.139999,27790100
2012-02-13,16.129999,16.240000,16.049999,16.120001,16.120001,10067300
2012-02-14,16.070000,16.100000,14.920000,15.370000,15.370000,88638700
2012-02-15,15.230000,15.300000,15.080000,15.120000,15.120000,25318400
2012-02-16,15.250000,15.380000,15.100000,15.360000,15.360000,15377400
2012-02-17,15.410000,15.440000,15.000000,15.010000,15.010000,22889500
2012-02-21,15.040000,15.070000,14.750000,14.750000,14.750000,29696600
2012-02-22,14.680000,14.750000,14.430000,14.500000,14.500000,27187200
2012-02-23,14.550000,14.810000,14.370000,14.780000,14.780000,15689700
2012-02-24,14.860000,14.970000,14.830000,14.890000,14.890000,12105400
2012-02-27,14.740000,14.910000,14.720000,14.860000,14.860000,13431000
2012-02-28,14.930000,14.990000,14.760000,14.900000,14.900000,15395600
2012-02-29,14.890000,14.930000,14.780000,14.830000,14.830000,19611100
2012-03-01,14.890000,14.960000,14.790000,14.930000,14.930000,12283300
2012-03-02,14.890000,14.920000,14.660000,14.720000,14.720000,9164900
2012-03-05,14.660000,14.950000,14.520000,14.620000,14.620000,11749700
2012-03-06,14.610000,14.690000,14.350000,14.420000,14.420000,12696600
2012-03-07,14.480000,14.710000,14.440000,14.620000,14.620000,10622500
2012-03-08,14.700000,14.770000,14.520000,14.620000,14.620000,11271400
2012-03-09,14.630000,14.700000,14.610000,14.630000,14.630000,9769900
2012-03-12,14.660000,14.760000,14.480000,14.490000,14.490000,11309200
2012-03-13,14.540000,14.620000,14.390000,14.550000,14.550000,17134400
2012-03-14,14.540000,14.640000,14.420000,14.630000,14.630000,14765500
2012-03-15,14.640000,14.980000,14.570000,14.890000,14.890000,19809800
2012-03-16,14.950000,15.180000,14.920000,15.180000,15.180000,28337600
2012-03-19,15.080000,15.220000,14.920000,15.150000,15.150000,16649600
2012-03-20,15.000000,15.610000,14.920000,15.410000,15.410000,22095600
2012-03-21,15.420000,15.610000,15.170000,15.510000,15.510000,25024100
2012-03-22,15.510000,15.560000,15.380000,15.490000,15.490000,14618600
2012-03-23,15.520000,15.590000,15.310000,15.390000,15.390000,8493700
2012-03-26,15.460000,15.560000,15.360000,15.540000,15.540000,11500800
2012-03-27,15.530000,15.550000,15.410000,15.430000,15.430000,11891000
2012-03-28,15.450000,15.480000,15.140000,15.320000,15.320000,18831800
2012-03-29,15.190000,15.340000,15.110000,15.300000,15.300000,9933800
2012-03-30,15.370000,15.420000,15.180000,15.220000,15.220000,15514100
2012-04-02,15.190000,15.510000,15.110000,15.460000,15.460000,14423800
2012-04-03,15.360000,15.430000,15.060000,15.180000,15.180000,18215000
2012-04-04,15.150000,15.340000,15.000000,15.270000,15.270000,20954600
2012-04-05,15.140000,15.260000,15.000000,15.070000,15.070000,11717000
2012-04-09,15.000000,15.250000,14.960000,15.100000,15.100000,11335400
2012-04-10,15.080000,15.180000,14.910000,14.990000,14.990000,15284200
2012-04-11,15.080000,15.080000,14.840000,14.880000,14.880000,11200900
2012-04-12,14.900000,15.100000,14.840000,15.060000,15.060000,9487500
2012-04-13,14.990000,15.180000,14.860000,14.870000,14.870000,15335800
2012-04-16,15.000000,15.040000,14.730000,14.790000,14.790000,13639200
2012-04-17,14.820000,15.180000,14.820000,15.010000,15.010000,20559000
2012-04-18,15.400000,15.570000,15.300000,15.490000,15.490000,36559000
2012-04-19,15.440000,15.570000,15.360000,15.400000,15.400000,18431200
2012-04-20,15.410000,15.700000,15.390000,15.600000,15.600000,24558400
2012-04-23,15.410000,15.470000,15.290000,15.330000,15.330000,21683700
2012-04-24,15.330000,15.520000,15.330000,15.430000,15.430000,12140200
2012-04-25,15.430000,15.510000,15.380000,15.500000,15.500000,13236900
2012-04-26,15.440000,15.550000,15.380000,15.530000,15.530000,12542800
2012-04-27,15.510000,15.620000,15.490000,15.570000,15.570000,9711600
2012-04-30,15.550000,15.570000,15.450000,15.540000,15.540000,10894600
2012-05-01,15.510000,15.730000,15.500000,15.630000,15.630000,9799300
2012-05-02,15.580000,15.770000,15.540000,15.670000,15.670000,10841000
2012-05-03,15.650000,15.650000,15.330000,15.400000,15.400000,10932700
2012-05-04,15.250000,15.290000,15.090000,15.150000,15.150000,13771300
2012-05-07,15.340000,15.490000,15.160000,15.350000,15.350000,13466000
2012-05-08,15.310000,15.440000,15.090000,15.360000,15.360000,18603600
2012-05-09,15.170000,15.450000,15.030000,15.300000,15.300000,19008500
2012-05-10,15.400000,15.540000,15.300000,15.440000,15.440000,11175700
2012-05-11,14.880000,15.440000,14.800000,15.190000,15.190000,21134300
2012-05-14,15.480000,15.770000,15.400000,15.500000,15.500000,30818600
2012-05-15,15.470000,15.550000,15.340000,15.400000,15.400000,13742500
2012-05-16,15.400000,15.570000,15.260000,15.280000,15.280000,17247400
2012-05-17,15.260000,15.370000,14.850000,14.870000,14.870000,17345100
2012-05-18,15.780000,15.870000,15.360000,15.420000,15.420000,32679400
2012-05-21,16.000000,16.000000,15.100000,15.580000,15.580000,51145800
2012-05-22,15.580000,15.610000,15.190000,15.290000,15.290000,33542000
2012-05-23,15.190000,15.430000,15.140000,15.380000,15.380000,18115300
2012-05-24,15.340000,15.510000,15.220000,15.350000,15.350000,13875600
2012-05-25,15.400000,15.480000,15.280000,15.360000,15.360000,13629000
2012-05-29,15.400000,15.550000,15.280000,15.470000,15.470000,18464900
2012-05-30,15.300000,15.340000,15.160000,15.250000,15.250000,14924600
2012-05-31,15.230000,15.370000,15.120000,15.240000,15.240000,17160000
2012-06-01,15.040000,15.120000,14.850000,14.920000,14.920000,16196700
2012-06-04,14.900000,15.030000,14.810000,15.010000,15.010000,15478000
2012-06-05,15.000000,15.140000,14.910000,15.100000,15.100000,9725400
2012-06-06,15.140000,15.410000,15.140000,15.360000,15.360000,18295500
2012-06-07,15.470000,15.500000,15.330000,15.360000,15.360000,12635700
2012-06-08,15.520000,15.680000,15.400000,15.650000,15.650000,16420600
2012-06-11,15.730000,15.730000,15.270000,15.300000,15.300000,17145100
2012-06-12,15.350000,15.520000,15.260000,15.470000,15.470000,17012500
2012-06-13,15.470000,15.490000,15.270000,15.340000,15.340000,16454100
2012-06-14,15.300000,15.460000,15.250000,15.360000,15.360000,11612700
2012-06-15,15.440000,15.440000,15.330000,15.360000,15.360000,11716500
2012-06-18,15.330000,15.540000,15.270000,15.490000,15.490000,9654000
2012-06-19,15.520000,15.690000,15.510000,15.650000,15.650000,10635800
2012-06-20,15.690000,15.750000,15.580000,15.740000,15.740000,11260700
2012-06-21,15.740000,15.800000,15.470000,15.520000,15.520000,13102700
2012-06-22,15.530000,15.700000,15.520000,15.610000,15.610000,11042700
2012-06-25,15.510000,15.550000,15.310000,15.440000,15.440000,13383100
2012-06-26,15.400000,15.470000,15.190000,15.350000,15.350000,13640400
2012-06-27,15.410000,15.630000,15.380000,15.520000,15.520000,11261800
2012-06-28,15.410000,15.480000,15.290000,15.450000,15.450000,12479200
2012-06-29,15.610000,15.830000,15.530000,15.830000,15.830000,13501800
2012-07-02,15.800000,15.940000,15.760000,15.840000,15.840000,7226600
2012-07-03,15.830000,15.990000,15.820000,15.980000,15.980000,8148400
2012-07-05,15.900000,15.990000,15.810000,15.850000,15.850000,11440800
2012-07-06,15.800000,15.910000,15.680000,15.780000,15.780000,12151600
2012-07-09,15.780000,15.840000,15.700000,15.750000,15.750000,10375900
2012-07-10,15.830000,15.980000,15.710000,15.820000,15.820000,15933900
2012-07-11,15.820000,15.940000,15.680000,15.800000,15.800000,16482300
2012-07-12,15.630000,15.810000,15.540000,15.690000,15.690000,18390200
2012-07-13,15.700000,15.840000,15.690000,15.740000,15.740000,11811600
2012-07-16,15.690000,15.800000,15.600000,15.650000,15.650000,14982900
2012-07-17,15.850000,15.890000,15.420000,15.600000,15.600000,30596300
2012-07-18,15.640000,15.750000,15.510000,15.700000,15.700000,19270600
2012-07-19,15.710000,15.860000,15.640000,15.730000,15.730000,15985300
2012-07-20,15.750000,15.940000,15.680000,15.920000,15.920000,16919700
2012-07-23,15.700000,15.810000,15.590000,15.760000,15.760000,14825800
2012-07-24,15.740000,15.760000,15.230000,15.430000,15.430000,19733400
2012-07-25,15.520000,15.640000,15.400000,15.500000,15.500000,15092000
2012-07-26,15.690000,15.880000,15.620000,15.800000,15.800000,11033200
2012-07-27,15.880000,16.170000,15.840000,16.110001,16.110001,14220800
2012-07-30,16.150000,16.150000,15.900000,15.980000,15.980000,10187600
2012-07-31,16.000000,16.059999,15.810000,15.840000,15.840000,13753800
2012-08-01,15.860000,16.070000,15.830000,15.990000,15.990000,14008000
2012-08-02,15.860000,16.000000,15.640000,15.750000,15.750000,12900500
2012-08-03,15.890000,16.030001,15.820000,15.970000,15.970000,9140800
2012-08-06,16.000000,16.070000,15.950000,16.040001,16.040001,8803900
2012-08-07,16.090000,16.370001,16.070000,16.219999,16.219999,17281700
2012-08-08,16.150000,16.320000,16.090000,16.170000,16.170000,7379000
2012-08-09,16.160000,16.160000,15.980000,16.010000,16.010000,8613100
2012-08-10,15.250000,15.350000,15.010000,15.150000,15.150000,61987300
2012-08-13,15.030000,15.210000,15.000000,15.020000,15.020000,20849400
2012-08-14,15.040000,15.050000,14.690000,14.730000,14.730000,29655200
2012-08-15,14.770000,14.860000,14.650000,14.760000,14.760000,20682900
2012-08-16,14.810000,15.010000,14.750000,14.990000,14.990000,24971900
2012-08-17,15.020000,15.070000,14.850000,15.030000,15.030000,19640700
2012-08-20,14.990000,15.050000,14.880000,14.960000,14.960000,11193900
2012-08-21,14.950000,15.010000,14.880000,14.970000,14.970000,27934700
2012-08-22,14.950000,14.990000,14.860000,14.920000,14.920000,9168400
2012-08-23,14.900000,14.970000,14.820000,14.870000,14.870000,12463000
2012-08-24,14.820000,14.940000,14.770000,14.920000,14.920000,8650400
2012-08-27,14.920000,14.930000,14.770000,14.850000,14.850000,10054000
2012-08-28,14.840000,14.870000,14.690000,14.720000,14.720000,12706400
2012-08-29,14.730000,14.940000,14.700000,14.840000,14.840000,21113600
2012-08-30,14.810000,14.840000,14.640000,14.670000,14.670000,10698800
2012-08-31,14.790000,14.820000,14.590000,14.650000,14.650000,11619700
2012-09-04,14.640000,14.980000,14.590000,14.890000,14.890000,18809200
2012-09-05,14.860000,15.140000,14.850000,15.090000,15.090000,21118800
2012-09-06,15.130000,15.150000,14.960000,15.110000,15.110000,18011600
2012-09-07,15.120000,15.290000,15.100000,15.220000,15.220000,12988700
2012-09-10,15.190000,15.280000,15.110000,15.110000,15.110000,10520100
2012-09-11,15.090000,15.250000,15.060000,15.160000,15.160000,8036400
2012-09-12,15.300000,15.550000,15.280000,15.400000,15.400000,22006000
2012-09-13,15.380000,15.690000,15.370000,15.600000,15.600000,12136300
2012-09-14,15.700000,15.840000,15.620000,15.770000,15.770000,17642600
2012-09-17,15.810000,15.840000,15.630000,15.680000,15.680000,11697700
2012-09-18,15.650000,16.170000,15.600000,15.910000,15.910000,42449600
2012-09-19,15.960000,16.129999,15.840000,15.860000,15.860000,30681100
2012-09-20,15.760000,15.860000,15.650000,15.790000,15.790000,18169800
2012-09-21,15.720000,15.820000,15.660000,15.740000,15.740000,49167000
2012-09-24,15.690000,16.040001,15.600000,16.000000,16.000000,23019900
2012-09-25,16.090000,16.090000,15.670000,15.680000,15.680000,22966300
2012-09-26,15.710000,15.810000,15.550000,15.610000,15.610000,12784100
2012-09-27,15.900000,16.200001,15.790000,16.040001,16.040001,24416200
2012-09-28,16.010000,16.090000,15.930000,15.980000,15.980000,19744300
2012-10-01,16.000000,16.090000,15.770000,15.830000,15.830000,20601900
2012-10-02,16.030001,16.040001,15.880000,15.940000,15.940000,13696700
2012-10-03,16.000000,16.240000,15.990000,16.209999,16.209999,20399000
2012-10-04,16.219999,16.350000,16.150000,16.270000,16.270000,17283900
2012-10-05,16.270000,16.379999,16.090000,16.090000,16.090000,9240400
2012-10-08,16.020000,16.160000,16.000000,16.030001,16.030001,11736700
2012-10-09,16.030001,16.049999,15.810000,15.850000,15.850000,14110000
2012-10-10,15.830000,15.990000,15.800000,15.830000,15.830000,14546300
2012-10-11,15.940000,16.020000,15.840000,15.920000,15.920000,12973000
2012-10-12,15.900000,16.020000,15.860000,15.880000,15.880000,12239100
2012-10-15,15.850000,15.870000,15.650000,15.680000,15.680000,20786500
2012-10-16,15.820000,15.980000,15.760000,15.920000,15.920000,20574100
2012-10-17,15.850000,16.120001,15.830000,16.090000,16.090000,19570500
2012-10-18,16.230000,16.240000,15.830000,16.000000,16.000000,26361000
2012-10-19,16.000000,16.030001,15.830000,15.840000,15.840000,32893100
2012-10-22,15.810000,15.950000,15.740000,15.770000,15.770000,32288000
2012-10-23,16.530001,16.790001,16.260000,16.670000,16.670000,71575400
2012-10-24,16.780001,16.799999,16.480000,16.549999,16.549999,25119700
2012-10-25,16.719999,16.770000,16.490000,16.610001,16.610001,23080800
2012-10-26,16.540001,16.820000,16.520000,16.790001,16.790001,23374200
2012-10-31,16.809999,16.889999,16.600000,16.840000,16.840000,21058800
2012-11-01,16.900000,17.049999,16.860001,16.950001,16.950001,19764900
2012-11-02,17.000000,17.139999,16.950001,17.110001,17.110001,27568700
2012-11-05,17.100000,17.430000,17.010000,17.370001,17.370001,31854300
2012-11-06,17.440001,17.530001,17.320000,17.459999,17.459999,26321200
2012-11-07,17.240000,17.559999,17.180000,17.389999,17.389999,24344200
2012-11-08,17.299999,17.500000,17.230000,17.240000,17.240000,20322000
2012-11-09,17.219999,17.520000,17.180000,17.260000,17.260000,23832100
2012-11-12,17.180000,17.559999,17.170000,17.510000,17.510000,22361500
2012-11-13,17.420000,17.850000,17.379999,17.850000,17.850000,29016900
2012-11-14,17.900000,18.080000,17.750000,17.830000,17.830000,36398900
2012-11-15,17.820000,18.160000,17.740000,17.889999,17.889999,35659000
2012-11-16,17.910000,18.020000,17.760000,17.860001,17.860001,31014300
2012-11-19,18.020000,18.370001,17.870001,18.360001,18.360001,32995900
2012-11-20,18.440001,18.500000,18.190001,18.240000,18.240000,26228200
2012-11-21,18.240000,18.500000,18.200001,18.400000,18.400000,19584800
2012-11-23,18.500000,18.590000,18.400000,18.570000,18.570000,7714800
2012-11-26,18.879999,19.000000,18.700001,18.760000,18.760000,34042700
2012-11-27,18.870001,19.160000,18.799999,18.930000,18.930000,29330500
2012-11-28,18.780001,18.950001,18.530001,18.910000,18.910000,30313200
2012-11-29,18.950001,19.030001,18.850000,18.870001,18.870001,27259800
2012-11-30,18.900000,18.950001,18.690001,18.770000,18.770000,24075300
2012-12-03,18.549999,18.840000,18.340000,18.549999,18.549999,29603000
2012-12-04,18.639999,18.959999,18.600000,18.930000,18.930000,30725600
2012-12-05,18.980000,19.030001,18.770000,18.889999,18.889999,24739100
2012-12-06,18.780001,19.280001,18.770000,19.200001,19.200001,25312800
2012-12-07,19.160000,19.299999,19.059999,19.200001,19.200001,19159700
2012-12-10,19.180000,19.469999,19.150000,19.430000,19.430000,24127800
2012-12-11,19.530001,19.629999,19.430000,19.520000,19.520000,19049500
2012-12-12,19.559999,19.600000,19.340000,19.379999,19.379999,22899200
2012-12-13,19.440001,19.540001,19.260000,19.350000,19.350000,20454600
2012-12-14,19.400000,19.719999,19.400000,19.639999,19.639999,19580400
2012-12-17,19.719999,19.740000,19.530001,19.690001,19.690001,14760300
2012-12-18,19.719999,19.760000,19.580000,19.620001,19.620001,17094600
2012-12-19,19.590000,19.690001,19.580000,19.600000,19.600000,12351400
2012-12-20,19.580000,19.709999,19.410000,19.690001,19.690001,24572800
2012-12-21,19.490000,19.490000,19.230000,19.350000,19.350000,32727700
2012-12-24,19.450001,19.660000,19.379999,19.650000,19.650000,11431500
2012-12-26,19.700001,19.750000,19.520000,19.570000,19.570000,9376200
2012-12-27,19.540001,19.670000,19.440001,19.600000,19.600000,13999400
2012-12-28,19.440001,19.570000,19.280001,19.500000,19.500000,16667800
2012-12-31,19.430000,19.969999,19.400000,19.900000,19.900000,20645100
2013-01-02,20.200001,20.320000,20.010000,20.080000,20.080000,20463100
2013-01-03,20.049999,20.100000,19.719999,19.780001,19.780001,19504400
2013-01-04,19.760000,19.950001,19.719999,19.860001,19.860001,12489600
2013-01-07,19.559999,19.580000,19.280001,19.400000,19.400000,23864500
2013-01-08,19.320000,19.680000,19.299999,19.660000,19.660000,16931700
2013-01-09,19.730000,19.750000,19.219999,19.320000,19.320000,21646700
2013-01-10,19.190001,19.379999,18.930000,18.990000,18.990000,30647000
2013-01-11,19.049999,19.379999,18.889999,19.290001,19.290001,21552200
2013-01-14,19.330000,19.540001,19.250000,19.430000,19.430000,13828400
2013-01-15,19.280001,19.540001,19.280001,19.520000,19.520000,16087600
2013-01-16,19.910000,20.139999,19.620001,20.070000,20.070000,33291700
2013-01-17,20.139999,20.209999,20.000000,20.129999,20.129999,14500600
2013-01-18,20.070000,20.170000,19.969999,20.020000,20.020000,13535100
2013-01-22,19.910000,19.950001,19.719999,19.900000,19.900000,13866900
2013-01-23,19.980000,20.190001,19.910000,20.110001,20.110001,13857900
2013-01-24,20.080000,20.520000,20.070000,20.440001,20.440001,13711400
2013-01-25,20.430000,20.480000,20.230000,20.370001,20.370001,14954300
2013-01-28,20.500000,20.500000,20.200001,20.309999,20.309999,39510100
2013-01-29,20.870001,20.879999,19.680000,19.700001,19.700001,57652300
2013-01-30,19.920000,20.120001,19.690001,20.120001,20.120001,36572300
2013-01-31,19.920000,19.990000,19.570000,19.629999,19.629999,34973700
2013-02-01,19.770000,19.830000,19.580000,19.760000,19.760000,27610600
2013-02-04,19.760000,19.809999,19.309999,19.340000,19.340000,23906500
2013-02-05,19.490000,19.780001,19.420000,19.660000,19.660000,13559800
2013-02-06,19.629999,19.900000,19.590000,19.850000,19.850000,15392300
2013-02-07,20.100000,20.430000,19.930000,20.320000,20.320000,24705600
2013-02-08,20.379999,20.610001,20.299999,20.500000,20.500000,22249700
2013-02-11,20.440001,20.980000,20.389999,20.900000,20.900000,22089900
2013-02-12,20.940001,21.400000,20.889999,21.209999,21.209999,27750200
2013-02-13,21.150000,21.430000,21.070000,21.150000,21.150000,18797900
2013-02-14,21.100000,21.260000,21.059999,21.180000,21.180000,12817900
2013-02-15,21.150000,21.250000,20.900000,21.020000,21.020000,12584000
2013-02-19,21.030001,21.410000,20.969999,21.290001,21.290001,16665800
2013-02-20,21.309999,21.450001,20.900000,20.920000,20.920000,14438900
2013-02-21,20.920000,21.000000,20.740000,20.830000,20.830000,13296100
2013-02-22,20.870001,21.309999,20.850000,21.219999,21.219999,13673300
2013-02-25,21.260000,21.320000,20.719999,20.730000,20.730000,13334900
2013-02-26,20.680000,20.850000,20.580000,20.760000,20.760000,14038200
2013-02-27,20.809999,21.309999,20.690001,21.160000,21.160000,15697300
2013-02-28,21.059999,21.570000,21.049999,21.309999,21.309999,18873700
2013-03-01,21.360001,22.280001,21.260000,21.940001,21.940001,33776700
2013-03-04,22.370001,22.740000,22.200001,22.700001,22.700001,30075300
2013-03-05,22.910000,23.080000,22.610001,22.950001,22.950001,30497400
2013-03-06,23.080000,23.090000,22.709999,22.799999,22.799999,15193900
2013-03-07,22.920000,23.000000,22.650000,22.700001,22.700001,12881800
2013-03-08,22.920000,22.959999,22.709999,22.900000,22.900000,10583500
2013-03-11,22.799999,23.000000,22.570000,22.600000,22.600000,16489200
2013-03-12,22.510000,22.580000,22.190001,22.400000,22.400000,12012300
2013-03-13,22.480000,22.480000,22.160000,22.340000,22.340000,13956200
2013-03-14,22.469999,22.750000,22.410000,22.430000,22.430000,12798500
2013-03-15,22.340000,22.389999,21.969999,22.070000,22.070000,33557400
2013-03-18,21.900000,22.170000,21.870001,22.010000,22.010000,15071700
2013-03-19,22.059999,22.330000,21.889999,22.170000,22.170000,12846900
2013-03-20,22.030001,22.330000,21.950001,22.100000,22.100000,18094100
2013-03-21,22.389999,22.950001,22.360001,22.860001,22.860001,24719100
2013-03-22,22.879999,23.260000,22.719999,23.260000,23.260000,18062100
2013-03-25,23.410000,23.879999,23.309999,23.379999,23.379999,23138900
2013-03-26,23.459999,23.620001,23.350000,23.590000,23.590000,16893200
2013-03-27,23.540001,23.830000,23.410000,23.590000,23.590000,13943600
2013-03-28,23.629999,23.770000,23.450001,23.530001,23.530001,17611900
2013-04-01,23.309999,23.620001,23.190001,23.500000,23.500000,12344300
2013-04-02,23.770000,23.900000,23.600000,23.780001,23.780001,14724800
2013-04-03,23.780001,23.879999,23.240000,23.379999,23.379999,14934300
2013-04-04,23.490000,23.719999,23.360001,23.520000,23.520000,12521200
2013-04-05,23.180000,23.410000,23.010000,23.299999,23.299999,14243700
2013-04-08,23.240000,23.480000,23.129999,23.480000,23.480000,9998100
2013-04-09,23.559999,24.000000,23.440001,23.830000,23.830000,14773900
2013-04-10,24.000000,24.320000,23.950001,24.200001,24.200001,17281900
2013-04-11,24.410000,24.570000,24.309999,24.490000,24.490000,12362500
2013-04-12,24.580000,24.799999,24.340000,24.690001,24.690001,13342800
2013-04-15,24.719999,24.990000,23.830000,23.980000,23.980000,28129600
2013-04-16,24.059999,24.260000,23.760000,23.790001,23.790001,30877500
2013-04-17,23.450001,24.100000,23.129999,23.700001,23.700001,45148600
2013-04-18,23.660000,23.700001,22.700001,23.260000,23.260000,25822300
2013-04-19,23.120001,23.629999,22.830000,23.469999,23.469999,17860200
2013-04-22,23.709999,23.959999,23.469999,23.950001,23.950001,15539700
2013-04-23,23.959999,24.450001,23.959999,24.379999,24.379999,16718000
2013-04-24,24.450001,24.969999,24.440001,24.750000,24.750000,15138800
2013-04-25,24.930000,25.290001,24.879999,25.200001,25.200001,17289100
2013-04-26,25.139999,25.370001,24.580000,24.680000,24.680000,19573300
2013-04-29,24.850000,24.910000,24.350000,24.430000,24.430000,12533100
2013-04-30,24.379999,24.790001,24.360001,24.730000,24.730000,10091200
2013-05-01,24.670000,24.719999,24.260000,24.299999,24.299999,11075000
2013-05-02,24.340000,24.969999,24.180000,24.969999,24.969999,10651000
2013-05-03,25.129999,25.250000,24.990000,25.070000,25.070000,11513900
2013-05-06,25.049999,25.340000,24.920000,25.170000,25.170000,11990500
2013-05-07,26.010000,26.790001,25.549999,26.070000,26.070000,25883100
2013-05-08,26.170000,26.660000,25.959999,26.410000,26.410000,24960800
2013-05-09,26.410000,26.490000,26.139999,26.240000,26.240000,11186000
2013-05-10,26.320000,26.860001,26.309999,26.830000,26.830000,16236400
2013-05-13,26.760000,26.830000,26.360001,26.389999,26.389999,15808000
2013-05-14,26.750000,26.870001,26.520000,26.639999,26.639999,14828200
2013-05-15,26.629999,27.680000,26.549999,27.340000,27.340000,21956500
2013-05-16,27.430000,27.430000,26.570000,26.580000,26.580000,18192300
2013-05-17,26.780001,26.980000,26.459999,26.520000,26.520000,14889300
2013-05-20,26.680000,27.049999,26.209999,26.580000,26.580000,25099100
2013-05-21,26.900000,27.129999,26.719999,27.000000,27.000000,14889000
2013-05-22,27.070000,27.190001,26.440001,26.540001,26.540001,16046200
2013-05-23,25.950001,26.270000,25.700001,26.020000,26.020000,23307000
2013-05-24,25.900000,26.480000,25.650000,26.330000,26.330000,14967100
2013-05-28,26.650000,26.770000,25.980000,26.070000,26.070000,19015300
2013-05-29,25.900000,26.040001,25.320000,25.809999,25.809999,18738900
2013-05-30,25.830000,26.500000,25.799999,26.330000,26.330000,12916200
2013-05-31,26.200001,26.600000,26.090000,26.299999,26.299999,23994200
2013-06-03,26.370001,26.620001,26.129999,26.389999,26.389999,16454100
2013-06-04,26.459999,26.570000,25.969999,26.260000,26.260000,13218300
2013-06-05,26.110001,26.250000,25.690001,25.750000,25.750000,14270500
2013-06-06,25.879999,26.209999,25.660000,26.209999,26.209999,13559000
2013-06-07,26.389999,27.090000,26.280001,27.040001,27.040001,16948700
2013-06-10,27.040001,27.120001,26.700001,26.740000,26.740000,15850700
2013-06-11,26.430000,26.879999,26.320000,26.400000,26.400000,10097100
2013-06-12,26.500000,26.530001,25.889999,25.889999,25.889999,11920800
2013-06-13,25.790001,26.459999,25.709999,26.370001,26.370001,9763800
2013-06-14,26.320000,26.549999,26.160000,26.280001,26.280001,7398800
2013-06-17,26.290001,26.850000,26.240000,26.540001,26.540001,10289700
2013-06-18,26.570000,26.889999,26.510000,26.660000,26.660000,9710700
2013-06-19,26.600000,26.780001,26.230000,26.240000,26.240000,11398300
2013-06-20,26.030001,26.049999,25.230000,25.350000,25.350000,19115500
2013-06-21,25.290001,25.430000,24.940001,25.190001,25.190001,24574100
2013-06-24,24.980000,25.090000,23.820000,24.070000,24.070000,37006200
2013-06-25,24.290001,25.010000,24.230000,24.959999,24.959999,18883900
2013-06-26,25.219999,25.680000,25.010000,25.290001,25.290001,12583100
2013-06-27,25.469999,25.980000,25.440001,25.469999,25.469999,14489800
2013-06-28,25.430000,25.540001,24.889999,25.129999,25.129999,26774300
2013-07-01,25.260000,25.540001,25.180000,25.240000,25.240000,10679300
2013-07-02,25.270000,25.500000,24.900000,24.990000,24.990000,10129600
2013-07-03,24.840000,25.639999,24.820000,25.590000,25.590000,6059100
2013-07-05,25.850000,26.260000,25.520000,25.680000,25.680000,11097500
2013-07-08,25.719999,25.990000,25.490000,25.530001,25.530001,10478400
2013-07-09,25.740000,26.700001,25.740000,26.680000,26.680000,17567800
2013-07-10,26.879999,27.070000,26.190001,26.559999,26.559999,15103300
2013-07-11,26.950001,27.190001,26.940001,27.040001,27.040001,17589800
2013-07-12,27.080000,27.440001,27.010000,27.230000,27.230000,17315300
2013-07-15,27.469999,27.469999,27.059999,27.340000,27.340000,16674800
2013-07-16,27.299999,27.450001,26.730000,26.879999,26.879999,31375200
2013-07-17,27.660000,29.730000,27.520000,29.660000,29.660000,83791400
2013-07-18,29.570000,29.830000,28.730000,29.660000,29.660000,35025600
2013-07-19,29.410000,29.719999,29.040001,29.110001,29.110001,20756900
2013-07-22,28.080000,28.420000,27.629999,27.860001,27.860001,46046400
2013-07-23,28.030001,28.040001,27.209999,27.360001,27.360001,25923400
2013-07-24,27.540001,27.920000,27.230000,27.840000,27.840000,22739800
2013-07-25,27.730000,28.459999,27.650000,28.270000,28.270000,20000600
2013-07-26,28.000000,28.340000,27.740000,28.110001,28.110001,11918700
2013-07-29,27.950001,28.330000,27.799999,27.930000,27.930000,11095100
2013-07-30,28.090000,28.230000,27.860001,28.049999,28.049999,10337800
2013-07-31,27.920000,28.209999,27.570000,28.090000,28.090000,20920100
2013-08-01,28.350000,28.450001,27.910000,27.959999,27.959999,13157600
2013-08-02,28.070000,28.090000,27.549999,27.650000,27.650000,11863400
2013-08-05,27.709999,27.799999,27.450001,27.670000,27.670000,7839200
2013-08-06,27.670000,27.750000,27.150000,27.320000,27.320000,10951100
2013-08-07,27.309999,27.510000,27.059999,27.389999,27.389999,9450700
2013-08-08,27.549999,27.620001,27.230000,27.480000,27.480000,8934400
2013-08-09,27.410000,27.700001,27.200001,27.680000,27.680000,13051100
2013-08-12,27.549999,28.370001,27.500000,28.350000,28.350000,16561900
2013-08-13,28.379999,28.600000,28.230000,28.340000,28.340000,14891300
2013-08-14,28.190001,28.209999,28.000000,28.049999,28.049999,8471400
2013-08-15,27.830000,27.830000,27.120001,27.139999,27.139999,14217100
2013-08-16,27.000000,27.600000,27.000000,27.320000,27.320000,14823400
2013-08-19,27.270000,27.440001,26.910000,26.910000,26.910000,11876000
2013-08-20,26.920000,27.309999,26.900000,27.120001,27.120001,10707200
2013-08-21,27.090000,27.490000,27.000000,27.059999,27.059999,8791300
2013-08-22,27.600000,28.010000,27.370001,27.900000,27.900000,15728600
2013-08-23,28.299999,28.320000,27.809999,27.990000,27.990000,13192900
2013-08-26,27.990000,28.040001,27.700001,27.700001,27.700001,9754400
2013-08-27,27.240000,27.459999,26.750000,27.000000,27.000000,14549500
2013-08-28,26.900000,27.240000,26.830000,27.110001,27.110001,9603100
2013-08-29,27.030001,27.450001,27.030001,27.299999,27.299999,13911900
2013-08-30,27.389999,27.440001,26.820000,27.120001,27.120001,16344400
2013-09-03,27.379999,27.870001,27.370001,27.780001,27.780001,14591100
2013-09-04,27.700001,28.120001,27.600000,28.070000,28.070000,8880500
2013-09-05,28.100000,28.350000,27.910000,28.230000,28.230000,8989600
2013-09-06,28.350000,28.500000,27.820000,28.170000,28.170000,10807500
2013-09-09,28.320000,29.320000,28.320000,29.240000,29.240000,21178000
2013-09-10,29.430000,29.629999,29.080000,29.480000,29.480000,13007600
2013-09-11,29.379999,29.410000,28.969999,29.190001,29.190001,10374600
2013-09-12,29.719999,30.270000,29.500000,29.650000,29.650000,22060700
2013-09-13,29.469999,29.469999,28.799999,29.260000,29.260000,13836600
2013-09-16,29.639999,30.040001,29.510000,29.620001,29.620001,15748700
2013-09-17,29.639999,30.000000,29.309999,30.000000,30.000000,10499700
2013-09-18,30.010000,30.459999,29.850000,30.440001,30.440001,15570600
2013-09-19,30.530001,31.049999,30.340000,31.030001,31.030001,12795100
2013-09-20,31.049999,31.100000,30.760000,30.930000,30.930000,14925400
2013-09-23,31.030001,31.030001,30.020000,30.260000,30.260000,15728900
2013-09-24,30.549999,31.660000,30.540001,31.270000,31.270000,27820600
2013-09-25,31.400000,32.029999,31.120001,31.340000,31.340000,19146600
2013-09-26,31.650000,33.000000,31.580000,32.750000,32.750000,39233700
2013-09-27,33.330002,33.849998,32.759998,33.549999,33.549999,31791600
2013-09-30,33.040001,33.750000,32.680000,33.169998,33.169998,30065800
2013-10-01,33.360001,34.439999,33.299999,34.310001,34.310001,28180900
2013-10-02,34.150002,34.700001,33.900002,34.139999,34.139999,21637400
2013-10-03,34.320000,34.360001,33.200001,33.880001,33.880001,23263900
2013-10-04,33.959999,35.060001,33.959999,34.889999,34.889999,23950200
2013-10-07,34.459999,34.689999,34.080002,34.139999,34.139999,15448700
2013-10-08,34.459999,34.500000,32.099998,32.930000,32.930000,42914600
2013-10-09,33.070000,33.330002,31.790001,33.009998,33.009998,33509700
2013-10-10,33.490002,33.910000,33.330002,33.869999,33.869999,23448100
2013-10-11,33.669998,34.369999,33.610001,34.150002,34.150002,17012300
2013-10-14,33.799999,34.099998,33.680000,34.000000,34.000000,17614000
2013-10-15,34.200001,34.320000,33.060001,33.380001,33.380001,42773900
2013-10-16,33.900002,34.110001,32.830002,33.090000,33.090000,44820000
2013-10-17,32.880001,33.009998,32.310001,32.740002,32.740002,25229700
2013-10-18,33.169998,33.750000,33.110001,33.430000,33.430000,24622900
2013-10-21,33.650002,34.349998,33.650002,34.060001,34.060001,17776700
2013-10-22,34.240002,34.599998,33.580002,33.939999,33.939999,17549100
2013-10-23,33.759998,33.840000,33.020000,33.099998,33.099998,15931700
2013-10-24,33.160000,33.310001,32.810001,33.080002,33.080002,15086700
2013-10-25,32.310001,32.950001,32.000000,32.250000,32.250000,22290000
2013-10-28,32.090000,32.700001,31.700001,32.349998,32.349998,18325700
2013-10-29,33.070000,34.000000,32.820000,33.169998,33.169998,29349200
2013-10-30,33.330002,33.480000,32.380001,32.570000,32.570000,14292300
2013-10-31,32.430000,33.119999,32.279999,32.939999,32.939999,15301900
2013-11-01,33.150002,33.349998,33.000000,33.180000,33.180000,15201400
2013-11-04,33.200001,33.660000,33.009998,33.189999,33.189999,15778500
2013-11-05,33.029999,33.080002,32.549999,32.970001,32.970001,13471100
2013-11-06,33.070000,33.299999,32.709999,32.880001,32.880001,10826400
2013-11-07,32.990002,33.049999,32.060001,32.110001,32.110001,16861300
2013-11-08,32.230000,33.119999,32.200001,33.119999,33.119999,15082800
2013-11-11,33.570000,33.990002,33.250000,33.820000,33.820000,15846800
2013-11-12,34.000000,34.520000,33.880001,34.070000,34.070000,18227600
2013-11-13,33.820000,35.119999,33.630001,35.099998,35.099998,21359400
2013-11-14,35.070000,35.889999,34.759998,35.689999,35.689999,21411400
2013-11-15,35.799999,35.939999,35.299999,35.470001,35.470001,15615700
2013-11-18,35.650002,36.189999,34.509998,34.980000,34.980000,19070000
2013-11-19,35.029999,35.169998,34.509998,34.630001,34.630001,14955300
2013-11-20,35.430000,36.220001,35.220001,35.619999,35.619999,32439800
2013-11-21,36.230000,36.660000,36.220001,36.299999,36.299999,26425000
2013-11-22,36.189999,36.630001,35.959999,36.490002,36.490002,13247500
2013-11-25,36.779999,36.849998,35.959999,36.290001,36.290001,15159800
2013-11-26,36.320000,36.750000,36.110001,36.639999,36.639999,10458300
2013-11-27,36.700001,37.119999,36.509998,36.959999,36.959999,10427500
2013-11-29,36.910000,37.349998,36.900002,36.980000,36.980000,6455400
2013-12-02,37.040001,37.150002,36.680000,37.009998,37.009998,11573000
2013-12-03,36.770000,37.070000,36.340000,36.560001,36.560001,14098300
2013-12-04,36.470001,38.150002,36.250000,38.130001,38.130001,26139700
2013-12-05,38.240002,39.310001,38.049999,38.869999,38.869999,27662000
2013-12-06,39.240002,39.279999,38.529999,38.860001,38.860001,22215000
2013-12-09,39.130001,39.200001,38.570000,38.869999,38.869999,14386300
2013-12-10,38.919998,40.250000,38.919998,40.220001,40.220001,25479700
2013-12-11,39.900002,40.160000,38.919998,39.160000,39.160000,20915200
2013-12-12,39.020000,40.000000,39.000000,39.349998,39.349998,16184600
2013-12-13,39.610001,40.200001,39.560001,39.730000,39.730000,13773700
2013-12-16,39.970001,40.270000,39.599998,39.730000,39.730000,11439100
2013-12-17,39.990002,40.000000,39.400002,39.509998,39.509998,9842000
2013-12-18,39.529999,40.040001,38.820000,40.040001,40.040001,16844000
2013-12-19,40.040001,40.380001,39.910000,40.200001,40.200001,10710200
2013-12-20,40.389999,40.599998,40.110001,40.119999,40.119999,24637200
2013-12-23,40.250000,40.799999,40.130001,40.770000,40.770000,7447900
2013-12-24,40.910000,40.950001,40.660000,40.849998,40.849998,5113900
2013-12-26,41.000000,41.049999,40.220001,40.650002,40.650002,7364600
2013-12-27,40.720001,40.750000,40.320000,40.490002,40.490002,6138700
2013-12-30,40.459999,40.580002,39.849998,40.200001,40.200001,8676800
2013-12-31,40.169998,40.500000,40.000000,40.439999,40.439999,8291400
2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200
2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200
2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500
2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000
2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200
2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300
2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700
2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200
2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900
2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500
2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200
2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500
2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400
2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600
2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300
2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000
2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000
2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300
2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500
2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700
2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400
2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200
2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500
2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900
2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000
2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500
2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900
2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000
2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500
2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100
2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800
2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400
2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900
2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900
2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900
2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900
2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900
2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900
2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400
2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100
2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700
2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400
2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800
2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700
2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500
2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200
2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300
2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700
2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700
2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300
2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300
2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700
2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600
2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000
2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200
2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000
2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100
2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800
2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600
2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900
2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200
2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000
2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800
2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800
2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900
2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200
2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100
2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200
2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900
2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700
2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600
2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400
2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100
2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700
2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400
2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200
2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700
2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300
2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600
2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200
2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000
2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500
2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700
2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100
2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100
2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000
2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700
2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700
2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400
2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600
2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100
2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000
2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800
2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100
2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700
2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700
2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500
2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800
2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400
2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000
2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500
2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800
2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000
2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900
2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500
2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100
2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800
2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200
2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000
2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300
2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500
2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100
2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300
2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300
2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900
2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000
2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000
2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800
2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400
2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800
2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400
2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000
2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600
2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100
2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600
2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600
2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900
2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800
2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900
2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900
2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800
2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500
2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500
2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600
2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600
2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900
2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900
2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000
2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600
2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500
2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000
2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800
2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200
2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900
2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700
2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400
2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000
2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200
2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400
2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500
2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600
2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700
2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100
2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700
2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300
2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300
2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900
2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200
2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900
2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300
2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900
2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100
2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400
2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800
2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000
2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600
2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100
2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300
2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900
2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300
2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400
2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200
2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000
2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800
2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000
2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500
2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900
2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700
2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500
2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100
2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100
2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100
2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300
2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100
2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500
2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200
2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300
2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500
2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900
2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400
2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700
2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100
2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300
2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500
2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600
2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500
2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900
2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000
2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500
2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500
2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000
2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400
2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200
2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900
2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400
2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800
2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500
2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300
2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100
2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600
2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800
2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500
2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500
2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500
2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000
2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700
2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300
2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300
2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700
2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200
2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700
2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800
2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300
2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000
2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000
2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000
2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500
2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600
2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500
2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700
2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900
2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600
2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000
2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700
2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100
2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100
2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600
2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100
2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200
2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500
2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500
2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300
2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300
2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900
2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200
2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100
2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000
2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900
2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700
2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500
2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500
2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000
2015-01-02,50.660000,50.779999,49.470001,50.169998,50.169998,11924500
2015-01-05,49.709999,49.880001,48.910000,49.130001,49.130001,14389300
2015-01-06,49.200001,49.880001,48.330002,49.209999,49.209999,16204300
2015-01-07,49.619999,49.639999,48.509998,48.590000,48.590000,11788000
2015-01-08,48.990002,50.230000,48.720001,50.230000,50.230000,14704800
2015-01-09,50.279999,50.410000,49.619999,49.720001,49.720001,7462800
2015-01-12,49.919998,49.930000,48.560001,48.799999,48.799999,10170700
2015-01-13,49.150002,49.480000,47.400002,48.299999,48.299999,21605200
2015-01-14,47.700001,48.090000,47.070000,47.509998,47.509998,15911600
2015-01-15,47.540001,47.750000,46.200001,46.230000,46.230000,17126000
2015-01-16,46.060001,46.590000,45.849998,46.470001,46.470001,14681800
2015-01-20,46.790001,47.889999,46.770000,47.630001,47.630001,15780000
2015-01-21,47.599998,48.380001,47.320000,48.180000,48.180000,16305100
2015-01-22,48.430000,49.080002,48.009998,48.889999,48.889999,12647400
2015-01-23,48.740002,49.230000,48.630001,48.950001,48.950001,14206100
2015-01-26,49.570000,49.790001,49.070000,49.439999,49.439999,18976400
2015-01-27,49.139999,49.279999,47.660000,47.990002,47.990002,45777200
2015-01-28,49.799999,50.320000,46.299999,46.459999,46.459999,84839700
2015-01-29,43.560001,43.799999,41.799999,43.730000,43.730000,74370100
2015-01-30,43.750000,44.849998,43.509998,43.990002,43.990002,36033600
2015-02-02,44.430000,44.759998,43.880001,44.689999,44.689999,20305700
2015-02-03,45.099998,45.250000,44.380001,44.700001,44.700001,16944100
2015-02-04,44.799999,44.980000,43.880001,44.049999,44.049999,16281400
2015-02-05,44.080002,44.259998,43.029999,43.549999,43.549999,18414500
2015-02-06,43.570000,43.660000,42.669998,42.939999,42.939999,16005100
2015-02-09,42.610001,43.150002,42.540001,42.570000,42.570000,15507600
2015-02-10,42.900002,43.180000,42.660000,43.070000,43.070000,12160800
2015-02-11,43.180000,43.259998,42.759998,42.959999,42.959999,9791100
2015-02-12,43.070000,44.160000,42.860001,43.930000,43.930000,18158200
2015-02-13,44.119999,44.590000,44.000000,44.419998,44.419998,13785800
2015-02-17,44.369999,44.540001,43.349998,43.529999,43.529999,12798400
2015-02-18,43.560001,43.820000,43.299999,43.650002,43.650002,10355900
2015-02-19,43.650002,44.419998,43.500000,44.369999,44.369999,13301000
2015-02-20,44.299999,44.360001,43.759998,44.110001,44.110001,12036200
2015-02-23,43.990002,43.990002,43.419998,43.529999,43.529999,12129100
2015-02-24,43.450001,43.520000,42.910000,43.380001,43.380001,9778000
2015-02-25,43.209999,44.720001,43.209999,44.430000,44.430000,17922900
2015-02-26,44.599998,44.759998,44.259998,44.450001,44.450001,9223800
2015-02-27,44.380001,44.570000,44.049999,44.279999,44.279999,10044200
2015-03-02,44.060001,44.430000,43.700001,44.110001,44.110001,11027300
2015-03-03,43.700001,43.950001,42.419998,42.619999,42.619999,22392400
2015-03-04,42.080002,44.380001,41.970001,43.990002,43.990002,30024800
2015-03-05,44.180000,44.310001,43.500000,44.160000,44.160000,11867700
2015-03-06,43.980000,44.240002,43.400002,43.439999,43.439999,11888000
2015-03-09,43.599998,43.930000,42.669998,42.980000,42.980000,11801900
2015-03-10,42.570000,42.919998,42.180000,42.680000,42.680000,10526300
2015-03-11,42.770000,42.990002,42.360001,42.500000,42.500000,10007300
2015-03-12,42.700001,43.360001,42.580002,42.950001,42.950001,8384800
2015-03-13,42.840000,42.980000,42.439999,42.869999,42.869999,9087000
2015-03-16,42.930000,43.880001,42.750000,43.509998,43.509998,11376400
2015-03-17,43.540001,44.160000,43.459999,43.790001,43.790001,9636300
2015-03-18,43.580002,44.709999,43.430000,44.669998,44.669998,18825000
2015-03-19,44.900002,45.450001,44.810001,44.980000,44.980000,14758000
2015-03-20,45.369999,45.580002,44.910000,45.040001,45.040001,14194200
2015-03-23,45.250000,45.540001,44.709999,44.720001,44.720001,8244400
2015-03-24,44.639999,44.779999,44.279999,44.419998,44.419998,7559100
2015-03-25,44.590000,44.930000,44.130001,44.200001,44.200001,14036900
2015-03-26,43.779999,44.669998,43.680000,44.470001,44.470001,16162900
2015-03-27,45.200001,45.669998,45.009998,45.099998,45.099998,20520400
2015-03-30,45.360001,45.419998,44.820000,44.950001,44.950001,8884300
2015-03-31,44.820000,45.200001,44.419998,44.439999,44.439999,10415500
2015-04-01,44.450001,44.599998,43.950001,44.130001,44.130001,14683300
2015-04-02,44.240002,44.360001,43.680000,44.150002,44.150002,12229400
2015-04-06,43.820000,44.029999,43.610001,43.669998,43.669998,10717000
2015-04-07,43.790001,44.220001,43.560001,43.610001,43.610001,11382000
2015-04-08,43.860001,45.189999,43.799999,45.169998,45.169998,16071000
2015-04-09,45.700001,46.169998,45.160000,45.630001,45.630001,13678000
2015-04-10,45.790001,45.790001,45.000000,45.180000,45.180000,8436400
2015-04-13,45.250000,45.590000,44.720001,44.770000,44.770000,8837300
2015-04-14,44.820000,45.639999,44.790001,45.529999,45.529999,12342900
2015-04-15,45.459999,45.830002,45.230000,45.730000,45.730000,15039600
2015-04-16,45.820000,46.130001,45.529999,45.779999,45.779999,13833100
2015-04-17,45.299999,45.439999,44.250000,44.450001,44.450001,13591600
2015-04-20,44.730000,44.910000,44.410000,44.660000,44.660000,10052900
2015-04-21,45.150002,45.180000,44.450001,44.490002,44.490002,18617900
2015-04-22,44.580002,44.849998,43.669998,43.980000,43.980000,32284300
2015-04-23,43.919998,44.060001,43.580002,43.700001,43.700001,14298900
2015-04-24,43.730000,44.709999,43.689999,44.520000,44.520000,11281100
2015-04-27,44.650002,45.099998,44.250000,44.360001,44.360001,10855400
2015-04-28,44.340000,44.570000,43.939999,44.340000,44.340000,7197100
2015-04-29,43.880001,44.049999,43.090000,43.279999,43.279999,12712600
2015-04-30,43.119999,43.310001,42.259998,42.570000,42.570000,14257900
2015-05-01,42.549999,42.680000,42.090000,42.509998,42.509998,10467600
2015-05-04,42.500000,42.549999,41.830002,42.040001,42.040001,14483800
2015-05-05,41.860001,42.000000,40.810001,41.299999,41.299999,19377100
2015-05-06,41.310001,41.730000,41.209999,41.660000,41.660000,13976300
2015-05-07,44.930000,44.980000,43.549999,43.869999,43.869999,28213800
2015-05-08,44.340000,44.549999,44.000000,44.090000,44.090000,15750200
2015-05-11,43.820000,44.139999,43.590000,43.599998,43.599998,11509600
2015-05-12,44.299999,44.310001,43.689999,43.840000,43.840000,14264800
2015-05-13,44.029999,44.669998,43.980000,44.400002,44.400002,10987200
2015-05-14,44.529999,44.990002,44.450001,44.950001,44.950001,10301800
2015-05-15,45.000000,45.070000,44.689999,44.750000,44.750000,7768600
2015-05-18,44.520000,44.570000,44.040001,44.360001,44.360001,8278800
2015-05-19,44.380001,44.660000,39.119999,40.980000,40.980000,45363900
2015-05-20,42.279999,43.040001,42.160000,42.790001,42.790001,54530800
2015-05-21,43.060001,43.869999,43.049999,43.680000,43.680000,30404300
2015-05-22,43.580002,44.000000,43.470001,43.490002,43.490002,10279400
2015-05-26,43.410000,43.500000,42.580002,42.849998,42.849998,12796000
2015-05-27,42.599998,43.439999,42.279999,43.380001,43.380001,13686500
2015-05-28,43.060001,43.419998,42.930000,43.070000,43.070000,9414000
2015-05-29,43.450001,43.590000,42.810001,42.939999,42.939999,10901500
2015-06-01,43.049999,43.630001,42.910000,43.349998,43.349998,11152900
2015-06-02,43.180000,43.619999,42.919998,43.150002,43.150002,8863900
2015-06-03,43.299999,43.779999,42.980000,43.209999,43.209999,11893400
2015-06-04,43.090000,43.439999,42.759998,42.880001,42.880001,10033400
2015-06-05,42.830002,43.259998,42.700001,42.810001,42.810001,9831100
2015-06-08,42.720001,42.889999,42.000000,42.009998,42.009998,7596300
2015-06-09,41.919998,41.950001,41.020000,41.630001,41.630001,11995200
2015-06-10,41.700001,42.310001,41.689999,42.060001,42.060001,7943800
2015-06-11,42.090000,42.209999,40.549999,40.939999,40.939999,23695000
2015-06-12,40.770000,41.110001,40.459999,40.529999,40.529999,9232700
2015-06-15,40.240002,40.669998,40.209999,40.470001,40.470001,10876300
2015-06-16,40.349998,41.400002,40.020000,40.639999,40.639999,20454500
2015-06-17,40.799999,41.520000,40.779999,40.959999,40.959999,11943100
2015-06-18,41.040001,41.270000,40.790001,40.910000,40.910000,10017600
2015-06-19,40.900002,40.930000,40.369999,40.509998,40.509998,11661500
2015-06-22,40.660000,40.889999,40.540001,40.730000,40.730000,6141500
2015-06-23,40.740002,40.799999,40.509998,40.650002,40.650002,6860600
2015-06-24,40.680000,41.230000,40.580002,40.939999,40.939999,11462200
2015-06-25,41.099998,41.389999,40.900002,41.070000,41.070000,10776200
2015-06-26,40.830002,40.869999,39.930000,40.060001,40.060001,16430900
2015-06-29,39.490002,39.779999,38.849998,38.910000,38.910000,12481300
2015-06-30,39.389999,39.650002,39.189999,39.290001,39.290001,11258300
2015-07-01,39.459999,39.779999,39.150002,39.330002,39.330002,6398400
2015-07-02,39.259998,39.639999,39.189999,39.380001,39.380001,7713000
2015-07-06,38.759998,39.119999,38.459999,38.610001,38.610001,11803400
2015-07-07,38.240002,38.380001,36.580002,38.230000,38.230000,19432500
2015-07-08,37.200001,37.490002,36.939999,37.230000,37.230000,20529200
2015-07-09,38.230000,38.680000,37.520000,37.610001,37.610001,16909400
2015-07-10,38.349998,38.419998,37.779999,37.919998,37.919998,10057600
2015-07-13,38.250000,38.799999,38.099998,38.759998,38.759998,8713200
2015-07-14,38.650002,39.029999,38.439999,38.630001,38.630001,9506500
2015-07-15,38.509998,38.799999,38.150002,38.380001,38.380001,9147300
2015-07-16,38.700001,38.959999,38.599998,38.910000,38.910000,8462400
2015-07-17,39.189999,39.790001,38.930000,39.680000,39.680000,14864300
2015-07-20,39.980000,39.980000,39.259998,39.540001,39.540001,14752100
2015-07-21,39.610001,39.849998,39.349998,39.730000,39.730000,14861600
2015-07-22,38.570000,39.630001,38.259998,39.240002,39.240002,17714800
2015-07-23,39.299999,39.779999,39.060001,39.209999,39.209999,9267400
2015-07-24,39.580002,39.580002,38.669998,38.849998,38.849998,8590700
2015-07-27,38.310001,38.310001,37.650002,37.840000,37.840000,12942700
2015-07-28,37.639999,37.919998,37.270000,37.720001,37.720001,10333100
2015-07-29,37.919998,37.919998,37.380001,37.669998,37.669998,10290600
2015-07-30,37.500000,37.689999,37.299999,37.419998,37.419998,9542700
2015-07-31,37.560001,37.570000,36.619999,36.669998,36.669998,15446100
2015-08-03,36.669998,36.980000,36.369999,36.689999,36.689999,9887300
2015-08-04,36.610001,37.209999,36.599998,37.119999,37.119999,9051900
2015-08-05,37.320000,37.709999,37.230000,37.250000,37.250000,6844000
2015-08-06,37.340000,37.520000,36.299999,36.459999,36.459999,12299700
2015-08-07,36.520000,36.759998,36.150002,36.669998,36.669998,11845500
2015-08-10,36.869999,37.689999,36.869999,37.150002,37.150002,11351400
2015-08-11,36.740002,36.770000,35.730000,36.029999,36.029999,13677300
2015-08-12,34.290001,34.770000,33.849998,34.490002,34.490002,31405700
2015-08-13,35.080002,36.610001,34.820000,35.930000,35.930000,28987700
2015-08-14,35.820000,36.349998,35.720001,36.240002,36.240002,12238300
2015-08-17,36.240002,36.240002,35.770000,36.099998,36.099998,7933600
2015-08-18,35.779999,36.189999,35.599998,35.689999,35.689999,11445300
2015-08-19,35.669998,35.669998,35.029999,35.189999,35.189999,8976700
2015-08-20,34.770000,34.950001,33.869999,34.099998,34.099998,15604400
2015-08-21,33.580002,34.020000,32.910000,32.930000,32.930000,18373600
2015-08-24,29.020000,32.279999,29.000000,31.309999,31.309999,23163400
2015-08-25,32.980000,33.029999,31.540001,31.740000,31.740000,15752300
2015-08-26,32.459999,32.619999,31.110001,32.520000,32.520000,25414500
2015-08-27,33.360001,33.770000,32.950001,33.689999,33.689999,19105100
2015-08-28,33.320000,33.570000,32.930000,33.139999,33.139999,9366100
2015-08-31,32.910000,32.990002,32.230000,32.240002,32.240002,13575100
2015-09-01,31.490000,32.099998,31.230000,31.600000,31.600000,19903500
2015-09-02,32.009998,32.029999,31.379999,31.770000,31.770000,15688100
2015-09-03,31.860001,32.740002,31.799999,32.540001,32.540001,13748900
2015-09-04,32.000000,32.290001,31.440001,31.580000,31.580000,13854100
2015-09-08,32.200001,32.830002,30.860001,30.900000,30.900000,26873900
2015-09-09,30.400000,31.799999,30.350000,31.520000,31.520000,46957000
2015-09-10,31.350000,31.590000,31.030001,31.150000,31.150000,14330900
2015-09-11,31.090000,31.430000,30.629999,31.430000,31.430000,14365400
2015-09-14,30.680000,30.920000,30.000000,30.320000,30.320000,22186900
2015-09-15,29.719999,31.230000,29.410000,31.040001,31.040001,25637600
2015-09-16,31.139999,31.770000,30.990000,31.400000,31.400000,22179700
2015-09-17,31.309999,31.330000,30.809999,30.930000,30.930000,17094200
2015-09-18,30.510000,30.799999,30.410000,30.740000,30.740000,20144700
2015-09-21,31.200001,31.740000,30.879999,31.170000,31.170000,18745000
2015-09-22,30.780001,30.920000,30.170000,30.400000,30.400000,15614900
2015-09-23,30.559999,30.570000,29.629999,29.740000,29.740000,12755400
2015-09-24,29.469999,29.570000,28.850000,29.340000,29.340000,19109900
2015-09-25,29.660000,29.709999,28.910000,29.129999,29.129999,12817500
2015-09-28,29.030001,29.219999,27.200001,27.600000,27.600000,49541300
2015-09-29,28.580000,29.230000,27.850000,28.260000,28.260000,41895400
2015-09-30,28.650000,29.110001,28.490000,28.910000,28.910000,17861800
2015-10-01,28.950001,29.000000,28.440001,28.910000,28.910000,14467600
2015-10-02,28.620001,30.709999,28.430000,30.709999,30.709999,29250500
2015-10-05,30.799999,31.200001,30.350000,30.850000,30.850000,12883300
2015-10-06,30.790001,31.190001,30.660000,30.959999,30.959999,10572800
2015-10-07,31.309999,31.990000,31.209999,31.870001,31.870001,12224800
2015-10-08,31.790001,32.500000,31.730000,32.369999,32.369999,14245400
2015-10-09,32.349998,32.689999,31.990000,32.520000,32.520000,11830400
2015-10-12,32.709999,33.020000,32.549999,32.860001,32.860001,12580300
2015-10-13,32.560001,32.830002,32.320000,32.340000,32.340000,15873800
2015-10-14,32.279999,32.490002,31.770000,32.090000,32.090000,11282800
2015-10-15,32.419998,33.490002,32.400002,33.480000,33.480000,19403800
2015-10-16,33.639999,33.860001,33.160000,33.369999,33.369999,12498900
2015-10-19,33.259998,33.630001,33.180000,33.500000,33.500000,10856500
2015-10-20,33.490002,33.590000,32.770000,32.830002,32.830002,18644700
2015-10-21,32.060001,32.430000,31.010000,31.120001,31.120001,30390400
2015-10-22,31.260000,31.900000,31.209999,31.670000,31.670000,18501200
2015-10-23,32.650002,33.360001,32.240002,33.169998,33.169998,24308600
2015-10-26,33.130001,33.490002,33.000000,33.400002,33.400002,15810300
2015-10-27,34.970001,35.470001,33.880001,34.299999,34.299999,26380900
2015-10-28,34.299999,35.270000,34.299999,35.189999,35.189999,15174300
2015-10-29,34.869999,35.150002,34.700001,35.049999,35.049999,10788300
2015-10-30,35.139999,35.700001,35.049999,35.619999,35.619999,17418900
2015-11-02,35.459999,35.480000,35.070000,35.270000,35.270000,15206700
2015-11-03,35.150002,35.340000,34.650002,34.720001,34.720001,12394300
2015-11-04,34.889999,35.240002,34.750000,35.070000,35.070000,17495900
2015-11-05,35.020000,35.299999,34.160000,35.119999,35.119999,15679100
2015-11-06,34.939999,35.200001,33.459999,34.200001,34.200001,16608600
2015-11-09,34.070000,34.080002,33.080002,33.680000,33.680000,13645500
2015-11-10,33.450001,34.130001,33.259998,33.990002,33.990002,11511000
2015-11-11,34.209999,34.230000,33.029999,33.380001,33.380001,11804100
2015-11-12,33.200001,33.849998,33.130001,33.230000,33.230000,14273100
2015-11-13,32.779999,33.040001,32.169998,32.189999,32.189999,11063300
2015-11-16,32.230000,32.990002,32.119999,32.950001,32.950001,11087800
2015-11-17,33.009998,33.119999,32.619999,32.860001,32.860001,10270400
2015-11-18,32.889999,33.020000,32.320000,32.980000,32.980000,11105600
2015-11-19,33.209999,33.500000,32.580002,32.630001,32.630001,14222100
2015-11-20,32.860001,33.299999,32.689999,33.110001,33.110001,12498500
2015-11-23,33.000000,33.869999,32.869999,33.360001,33.360001,11899700
2015-11-24,33.090000,33.189999,32.610001,32.959999,32.959999,13364700
2015-11-25,32.770000,33.520000,32.750000,33.160000,33.160000,13257200
2015-11-27,32.790001,33.090000,32.439999,32.939999,32.939999,5316100
2015-11-30,33.029999,33.830002,32.849998,33.810001,33.810001,17534700
2015-12-01,33.869999,33.889999,33.470001,33.709999,33.709999,11020400
2015-12-02,35.000000,36.389999,34.770000,35.650002,35.650002,56708100
2015-12-03,35.590000,35.720001,34.099998,34.340000,34.340000,17080500
2015-12-04,34.340000,35.200001,34.180000,34.910000,34.910000,16109600
2015-12-07,34.759998,34.919998,34.470001,34.680000,34.680000,12047900
2015-12-08,34.240002,34.980000,34.029999,34.849998,34.849998,19852600
2015-12-09,35.799999,35.840000,33.150002,34.400002,34.400002,45101900
2015-12-10,34.490002,34.730000,33.910000,34.630001,34.630001,16128800
2015-12-11,34.009998,34.150002,32.820000,32.910000,32.910000,14936200
2015-12-14,32.939999,33.270000,32.209999,32.590000,32.590000,15949600
2015-12-15,32.529999,33.389999,32.500000,33.029999,33.029999,16187300
2015-12-16,33.150002,33.880001,32.910000,33.779999,33.779999,12689400
2015-12-17,33.810001,34.080002,33.110001,33.230000,33.230000,13243500
2015-12-18,33.099998,33.630001,32.869999,32.950001,32.950001,16921800
2015-12-21,33.119999,33.299999,32.689999,32.970001,32.970001,9106700
2015-12-22,32.990002,34.209999,32.970001,34.189999,34.189999,15521100
2015-12-23,34.240002,34.580002,33.990002,34.450001,34.450001,13469200
2015-12-24,34.189999,34.740002,34.099998,34.110001,34.110001,3470700
2015-12-28,33.900002,33.910000,33.349998,33.599998,33.599998,10869100
2015-12-29,33.630001,34.169998,33.599998,34.040001,34.040001,12621900
2015-12-30,33.849998,34.040001,33.349998,33.369999,33.369999,5933500
2015-12-31,33.220001,33.689999,33.180000,33.259998,33.259998,7423300


================================================
FILE: datas/yhoo-2003-2005.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
2003-01-02,8.295000,8.830000,8.250000,8.800000,8.800000,19640400
2003-01-03,8.750000,9.175000,8.675000,9.050000,9.050000,15090600
2003-01-06,8.925000,9.595000,8.890000,9.470000,9.470000,21209400
2003-01-07,8.935000,9.650000,8.930000,9.575000,9.575000,28092600
2003-01-08,9.435000,9.650000,9.280000,9.375000,9.375000,19244600
2003-01-09,9.460000,9.745000,9.400000,9.720000,9.720000,15946400
2003-01-10,9.400000,10.000000,9.400000,10.000000,10.000000,26122600
2003-01-13,10.165000,10.195000,9.675000,9.835000,9.835000,27927600
2003-01-14,9.780000,9.920000,9.650000,9.850000,9.850000,16060600
2003-01-15,9.985000,10.090000,9.745000,9.790000,9.790000,44611000
2003-01-16,9.150000,9.745000,9.055000,9.375000,9.375000,58419400
2003-01-17,9.300000,9.490000,9.180000,9.185000,9.185000,22038600
2003-01-21,9.105000,9.220000,8.875000,8.960000,8.960000,20121600
2003-01-22,8.945000,9.375000,8.855000,9.240000,9.240000,23056600
2003-01-23,9.425000,9.565000,9.280000,9.540000,9.540000,18093400
2003-01-24,9.530000,9.585000,9.325000,9.390000,9.390000,23468400
2003-01-27,9.090000,9.385000,9.020000,9.055000,9.055000,18864600
2003-01-28,9.175000,9.360000,9.015000,9.310000,9.310000,17630800
2003-01-29,9.205000,9.485000,9.080000,9.415000,9.415000,16126800
2003-01-30,9.335000,9.425000,9.040000,9.045000,9.045000,10401000
2003-01-31,8.910000,9.190000,8.900000,9.100000,9.100000,13286000
2003-02-03,9.025000,9.200000,8.965000,8.985000,8.985000,9586600
2003-02-04,8.915000,8.930000,8.750000,8.875000,8.875000,11921400
2003-02-05,8.915000,9.075000,8.825000,8.895000,8.895000,12986800
2003-02-06,8.860000,9.090000,8.775000,8.965000,8.965000,10670000
2003-02-07,8.885000,8.925000,8.650000,8.770000,8.770000,14120200
2003-02-10,8.785000,8.985000,8.730000,8.960000,8.960000,10486400
2003-02-11,9.000000,9.245000,8.990000,9.145000,9.145000,14895800
2003-02-12,9.100000,9.300000,9.000000,9.085000,9.085000,12368000
2003-02-13,9.345000,9.365000,8.780000,9.025000,9.025000,26697800
2003-02-14,9.155000,9.455000,9.045000,9.450000,9.450000,15901600
2003-02-18,9.425000,9.800000,9.415000,9.745000,9.745000,17076400
2003-02-19,9.550000,9.795000,9.515000,9.690000,9.690000,12852400
2003-02-20,9.705000,9.875000,9.655000,9.860000,9.860000,13858000
2003-02-21,9.750000,9.950000,9.605000,9.915000,9.915000,12717200
2003-02-24,9.760000,9.980000,9.760000,9.835000,9.835000,9690400
2003-02-25,9.725000,10.000000,9.655000,10.000000,10.000000,11824200
2003-02-26,9.790000,9.980000,9.790000,9.855000,9.855000,15627400
2003-02-27,9.905000,10.085000,9.805000,10.040000,10.040000,14893600
2003-02-28,10.015000,10.475000,9.990000,10.425000,10.425000,23457000
2003-03-03,10.395000,10.500000,9.950000,9.960000,9.960000,26211600
2003-03-04,9.960000,10.080000,9.875000,9.935000,9.935000,20929000
2003-03-05,9.990000,10.060000,9.865000,9.950000,9.950000,12279000
2003-03-06,9.915000,9.915000,9.600000,9.720000,9.720000,21565200
2003-03-07,9.625000,9.835000,9.400000,9.810000,9.810000,20720200
2003-03-10,9.695000,9.825000,9.545000,9.595000,9.595000,11862800
2003-03-11,9.630000,9.670000,9.410000,9.480000,9.480000,12019800
2003-03-12,9.470000,9.610000,9.235000,9.595000,9.595000,13683400
2003-03-13,9.845000,10.240000,9.725000,10.125000,10.125000,23618400
2003-03-14,10.250000,10.415000,10.025000,10.345000,10.345000,18290000
2003-03-17,10.060000,11.200000,10.045000,11.190000,11.190000,42114000
2003-03-18,10.925000,11.050000,10.750000,10.985000,10.985000,25790000
2003-03-19,11.025000,11.185000,10.700000,11.105000,11.105000,24803000
2003-03-20,11.015000,11.630000,10.900000,11.425000,11.425000,29435600
2003-03-21,11.790000,12.095000,11.465000,11.985000,11.985000,36211200
2003-03-24,11.415000,11.860000,11.265000,11.675000,11.675000,33779000
2003-03-25,11.680000,12.270000,11.645000,11.810000,11.810000,35374400
2003-03-26,12.245000,12.495000,11.775000,12.380000,12.380000,37575800
2003-03-27,12.350000,12.495000,12.125000,12.205000,12.205000,36248400
2003-03-28,12.140000,12.375000,12.115000,12.190000,12.190000,21920600
2003-03-31,11.910000,12.195000,11.825000,12.010000,12.010000,27397200
2003-04-01,11.650000,11.800000,11.260000,11.395000,11.395000,47505200
2003-04-02,11.520000,11.955000,11.335000,11.870000,11.870000,37083400
2003-04-03,12.025000,12.390000,11.660000,12.170000,12.170000,27701400
2003-04-04,12.025000,12.095000,11.555000,12.025000,12.025000,49753200
2003-04-07,12.510000,12.625000,11.970000,12.000000,12.000000,35569400
2003-04-08,12.090000,12.115000,11.820000,11.905000,11.905000,25371000
2003-04-09,11.905000,11.955000,11.320000,11.435000,11.435000,48223400
2003-04-10,11.860000,12.185000,11.565000,12.135000,12.135000,72957000
2003-04-11,12.175000,12.465000,11.775000,12.215000,12.215000,44018000
2003-04-14,11.895000,12.225000,11.830000,12.175000,12.175000,30561000
2003-04-15,12.060000,12.500000,12.040000,12.405000,12.405000,27799400
2003-04-16,12.505000,12.625000,12.235000,12.335000,12.335000,27588600
2003-04-17,12.355000,12.550000,12.275000,12.545000,12.545000,22127000
2003-04-21,12.500000,12.835000,12.425000,12.705000,12.705000,22762800
2003-04-22,12.560000,12.870000,12.475000,12.830000,12.830000,22454200
2003-04-23,12.880000,13.125000,12.710000,12.800000,12.800000,24810000
2003-04-24,12.595000,12.850000,12.535000,12.725000,12.725000,18209600
2003-04-25,12.900000,12.915000,12.420000,12.480000,12.480000,23921800
2003-04-28,12.600000,12.715000,12.275000,12.645000,12.645000,19463400
2003-04-29,12.610000,12.785000,12.380000,12.505000,12.505000,15976400
2003-04-30,12.460000,12.625000,12.315000,12.385000,12.385000,16177800
2003-05-01,12.395000,12.395000,12.020000,12.275000,12.275000,17440600
2003-05-02,12.375000,12.635000,12.290000,12.575000,12.575000,17471000
2003-05-05,12.670000,12.760000,12.445000,12.515000,12.515000,17909600
2003-05-06,12.540000,12.750000,12.440000,12.575000,12.575000,19928600
2003-05-07,12.505000,12.535000,12.305000,12.380000,12.380000,14273200
2003-05-08,12.325000,12.670000,12.235000,12.540000,12.540000,16335200
2003-05-09,12.565000,12.680000,12.365000,12.520000,12.520000,14930000
2003-05-12,12.490000,13.115000,12.450000,13.085000,13.085000,22603200
2003-05-13,12.980000,13.840000,12.935000,13.610000,13.610000,40806200
2003-05-14,13.605000,13.775000,13.490000,13.545000,13.545000,24530400
2003-05-15,13.540000,13.815000,13.390000,13.755000,13.755000,19305400
2003-05-16,13.710000,14.000000,13.655000,13.875000,13.875000,20265200
2003-05-19,13.735000,13.805000,12.875000,12.975000,12.975000,31976400
2003-05-20,13.170000,13.455000,13.050000,13.290000,13.290000,34828400
2003-05-21,13.290000,13.325000,12.995000,13.090000,13.090000,19526400
2003-05-22,13.150000,13.505000,13.015000,13.450000,13.450000,16879600
2003-05-23,13.500000,14.255000,13.450000,14.245000,14.245000,30364200
2003-05-27,13.940000,15.095000,13.760000,14.985000,14.985000,44754600
2003-05-28,15.005000,15.145000,14.790000,14.950000,14.950000,26365200
2003-05-29,14.975000,15.360000,14.875000,15.075000,15.075000,22298800
2003-05-30,15.150000,15.180000,14.755000,14.920000,14.920000,32082800
2003-06-02,15.155000,15.200000,14.275000,14.330000,14.330000,34546600
2003-06-03,14.465000,14.490000,14.115000,14.275000,14.275000,42024400
2003-06-04,14.225000,14.830000,14.195000,14.795000,14.795000,42710000
2003-06-05,14.750000,14.765000,14.490000,14.695000,14.695000,19126800
2003-06-06,15.005000,15.100000,13.750000,13.975000,13.975000,42757200
2003-06-09,14.275000,14.330000,13.675000,13.750000,13.750000,36217400
2003-06-10,13.800000,13.995000,13.525000,13.950000,13.950000,20410600
2003-06-11,14.160000,14.975000,14.100000,14.800000,14.800000,39347800
2003-06-12,14.865000,14.945000,14.580000,14.850000,14.850000,26566000
2003-06-13,14.815000,14.875000,14.280000,14.360000,14.360000,21168000
2003-06-16,14.925000,15.395000,14.800000,15.330000,15.330000,38891000
2003-06-17,15.475000,15.810000,15.335000,15.710000,15.710000,27192600
2003-06-18,15.495000,16.410000,15.470000,16.150000,16.150000,32913800
2003-06-19,16.055000,16.594999,15.750000,15.815000,15.815000,27878200
2003-06-20,16.150000,16.245001,15.815000,16.070000,16.070000,25535800
2003-06-23,15.950000,16.075001,15.560000,15.760000,15.760000,17155200
2003-06-24,15.720000,15.970000,15.285000,15.680000,15.680000,21847600
2003-06-25,15.600000,16.049999,15.585000,15.675000,15.675000,20055600
2003-06-26,15.850000,16.500000,15.705000,16.450001,16.450001,28344600
2003-06-27,16.549999,16.745001,16.090000,16.110001,16.110001,25943200
2003-06-30,16.330000,16.680000,15.875000,16.350000,16.350000,21051200
2003-07-01,16.430000,16.825001,16.100000,16.820000,16.820000,20227600
2003-07-02,16.860001,17.205000,16.799999,17.174999,17.174999,19565800
2003-07-03,16.799999,17.500000,16.799999,17.350000,17.350000,15900600
2003-07-07,17.750000,17.860001,17.500000,17.635000,17.635000,25475200
2003-07-08,17.620001,17.719999,17.055000,17.549999,17.549999,32377200
2003-07-09,17.535000,17.895000,17.004999,17.645000,17.645000,45663200
2003-07-10,16.235001,16.500000,16.075001,16.280001,16.280001,68416800
2003-07-11,16.420000,16.459999,15.800000,16.094999,16.094999,37147000
2003-07-14,16.450001,16.525000,15.755000,16.100000,16.100000,59770600
2003-07-15,16.160000,16.385000,16.059999,16.180000,16.180000,26509200
2003-07-16,16.375000,16.400000,15.775000,15.925000,15.925000,19096000
2003-07-17,15.825000,15.825000,15.165000,15.305000,15.305000,26308600
2003-07-18,15.495000,15.525000,14.780000,14.950000,14.950000,26502200
2003-07-21,15.350000,15.770000,15.150000,15.525000,15.525000,32138800
2003-07-22,15.640000,15.700000,15.110000,15.625000,15.625000,25113400
2003-07-23,15.930000,16.075001,15.610000,16.059999,16.059999,20317400
2003-07-24,16.325001,16.934999,16.205000,16.600000,16.600000,35844000
2003-07-25,16.275000,16.469999,15.930000,16.400000,16.400000,24687800
2003-07-28,16.459999,16.490000,16.075001,16.280001,16.280001,13811800
2003-07-29,16.285000,16.344999,15.750000,15.780000,15.780000,16949200
2003-07-30,15.855000,15.975000,15.305000,15.395000,15.395000,17340800
2003-07-31,15.595000,15.940000,15.425000,15.565000,15.565000,17567000
2003-08-01,15.815000,15.900000,15.505000,15.730000,15.730000,15927200
2003-08-04,15.545000,15.610000,15.040000,15.390000,15.390000,18394200
2003-08-05,15.330000,15.570000,14.855000,14.910000,14.910000,16673200
2003-08-06,14.820000,15.025000,14.325000,14.730000,14.730000,32332000
2003-08-07,14.650000,14.700000,14.380000,14.435000,14.435000,20955600
2003-08-08,14.560000,14.665000,14.335000,14.500000,14.500000,17129000
2003-08-11,14.450000,14.600000,14.050000,14.450000,14.450000,17036400
2003-08-12,14.575000,14.975000,14.440000,14.925000,14.925000,21168200
2003-08-13,14.965000,15.000000,14.660000,14.765000,14.765000,18916400
2003-08-14,14.875000,14.925000,14.650000,14.885000,14.885000,12646400
2003-08-15,14.945000,15.060000,14.790000,14.940000,14.940000,9426000
2003-08-18,14.985000,15.685000,14.970000,15.645000,15.645000,20156800
2003-08-19,15.775000,16.145000,15.675000,16.014999,16.014999,27413600
2003-08-20,15.745000,16.170000,15.740000,15.995000,15.995000,15894200
2003-08-21,16.150000,16.495001,15.990000,16.410000,16.410000,25279000
2003-08-22,16.510000,16.674999,15.875000,15.910000,15.910000,20877000
2003-08-25,15.945000,16.040001,15.635000,16.030001,16.030001,10210800
2003-08-26,15.920000,16.075001,15.670000,16.030001,16.030001,10715400
2003-08-27,15.945000,16.215000,15.915000,16.200001,16.200001,11914800
2003-08-28,16.200001,16.299999,15.915000,16.174999,16.174999,10648400
2003-08-29,16.200001,16.700001,16.170000,16.695000,16.695000,16074400
2003-09-02,16.670000,17.120001,16.559999,17.094999,17.094999,27526000
2003-09-03,17.000000,17.200001,16.715000,16.785000,16.785000,22407600
2003-09-04,16.805000,17.605000,16.764999,17.415001,17.415001,30600200
2003-09-05,17.174999,17.975000,17.150000,17.445000,17.445000,33720800
2003-09-08,17.325001,17.834999,17.290001,17.770000,17.770000,22017600
2003-09-09,17.629999,18.400000,17.385000,17.495001,17.495001,47070200
2003-09-10,17.245001,17.600000,17.065001,17.215000,17.215000,28382200
2003-09-11,17.375000,17.485001,17.030001,17.295000,17.295000,26116000
2003-09-12,17.195000,17.625000,16.950001,17.410000,17.410000,22852400
2003-09-15,17.450001,17.535000,17.290001,17.315001,17.315001,12989400
2003-09-16,17.375000,17.934999,17.350000,17.910000,17.910000,24541600
2003-09-17,17.855000,18.240000,17.680000,18.000000,18.000000,25265000
2003-09-18,17.900000,18.915001,17.860001,18.790001,18.790001,35570800
2003-09-19,18.575001,18.900000,18.400000,18.620001,18.620001,23608800
2003-09-22,18.344999,18.455000,18.010000,18.290001,18.290001,23126000
2003-09-23,18.350000,19.030001,18.325001,18.910000,18.910000,31720600
2003-09-24,18.920000,19.125000,18.305000,18.305000,18.305000,31594000
2003-09-25,18.059999,18.725000,17.860001,18.264999,18.264999,27535000
2003-09-26,18.290001,18.420000,17.455000,17.540001,17.540001,24548000
2003-09-29,17.709999,18.125000,17.480000,18.094999,18.094999,23433600
2003-09-30,18.014999,18.125000,17.655001,17.695000,17.695000,21203000
2003-10-01,18.049999,18.360001,17.500000,18.200001,18.200001,35383400
2003-10-02,18.254999,19.000000,18.165001,18.955000,18.955000,30040000
2003-10-03,19.480000,19.775000,19.245001,19.620001,19.620001,33854800
2003-10-06,19.674999,19.940001,19.450001,19.889999,19.889999,20135400
2003-10-07,19.690001,19.950001,19.190001,19.465000,19.465000,43982000
2003-10-08,19.530001,19.719999,19.205000,19.395000,19.395000,46509600
2003-10-09,20.700001,21.860001,20.600000,21.375000,21.375000,110624800
2003-10-10,21.299999,21.655001,21.145000,21.580000,21.580000,36079200
2003-10-13,21.450001,21.500000,21.045000,21.450001,21.450001,25207800
2003-10-14,21.150000,21.424999,21.125000,21.150000,21.150000,21432800
2003-10-15,21.405001,21.405001,20.665001,20.715000,20.715000,23228600
2003-10-16,20.815001,21.250000,20.775000,21.105000,21.105000,19299800
2003-10-17,21.264999,21.450001,20.805000,21.120001,21.120001,26315000
2003-10-20,21.250000,21.370001,20.905001,21.184999,21.184999,17092600
2003-10-21,21.049999,21.645000,21.000000,21.410000,21.410000,22456400
2003-10-22,21.075001,21.295000,20.780001,20.885000,20.885000,23981000
2003-10-23,20.504999,20.625000,19.930000,20.200001,20.200001,34960400
2003-10-24,19.980000,20.389999,19.680000,20.264999,20.264999,28786600
2003-10-27,20.400000,20.730000,20.305000,20.584999,20.584999,17490000
2003-10-28,20.745001,21.535000,20.700001,21.510000,21.510000,25868600
2003-10-29,21.469999,21.990000,21.360001,21.540001,21.540001,27784800
2003-10-30,21.900000,22.275000,21.629999,21.860001,21.860001,33259800
2003-10-31,21.730000,22.000000,21.594999,21.855000,21.855000,19394000
2003-11-03,21.870001,22.385000,21.799999,21.965000,21.965000,21367400
2003-11-04,21.950001,22.014999,21.650000,21.715000,21.715000,17291800
2003-11-05,21.500000,22.129999,21.450001,22.020000,22.020000,15054200
2003-11-06,21.500000,21.860001,21.275000,21.485001,21.485001,23257200
2003-11-07,21.594999,21.674999,21.115000,21.174999,21.174999,18215600
2003-11-10,21.150000,21.250000,20.600000,20.620001,20.620001,17051200
2003-11-11,20.625000,20.815001,20.110001,20.309999,20.309999,19698600
2003-11-12,20.285000,21.290001,20.264999,21.264999,21.264999,21975800
2003-11-13,21.180000,21.795000,21.030001,21.650000,21.650000,19295200
2003-11-14,21.440001,21.684999,20.760000,20.815001,20.815001,18739600
2003-11-17,20.459999,20.540001,19.340000,20.180000,20.180000,42204400
2003-11-18,20.375000,20.495001,18.975000,19.004999,19.004999,35245800
2003-11-19,19.240000,19.805000,19.100000,19.635000,19.635000,37942000
2003-11-20,19.455000,19.980000,19.315001,19.344999,19.344999,21760400
2003-11-21,19.645000,19.860001,19.350000,19.740000,19.740000,20227200
2003-11-24,20.100000,20.934999,20.100000,20.889999,20.889999,24679000
2003-11-25,20.930000,21.350000,20.885000,21.025000,21.025000,22863800
2003-11-26,21.385000,21.725000,20.969999,21.540001,21.540001,25370600
2003-11-28,21.424999,21.625000,21.344999,21.495001,21.495001,6470200
2003-12-01,21.709999,22.145000,21.660000,22.105000,22.105000,20852000
2003-12-02,21.930000,22.090000,21.735001,21.754999,21.754999,17536400
2003-12-03,21.834999,21.990000,21.174999,21.250000,21.250000,18848400
2003-12-04,21.475000,21.805000,21.049999,21.565001,21.565001,20857800
2003-12-05,21.395000,21.844999,21.325001,21.424999,21.424999,16190000
2003-12-08,21.389999,21.535000,20.805000,21.389999,21.389999,19364600
2003-12-09,21.520000,21.549999,20.715000,20.785000,20.785000,17286000
2003-12-10,20.780001,21.045000,20.264999,20.580000,20.580000,20578400
2003-12-11,20.535000,21.520000,20.535000,21.389999,21.389999,18270000
2003-12-12,21.500000,21.500000,21.004999,21.490000,21.490000,15672800
2003-12-15,21.920000,22.000000,21.049999,21.125000,21.125000,19726000
2003-12-16,20.969999,21.094999,20.105000,20.350000,20.350000,29586600
2003-12-17,20.290001,20.415001,19.980000,20.365000,20.365000,21553600
2003-12-18,20.530001,21.025000,20.379999,20.945000,20.945000,16245800
2003-12-19,20.965000,21.150000,20.575001,21.055000,21.055000,19387800
2003-12-22,20.915001,21.305000,20.885000,21.299999,21.299999,14952400
2003-12-23,21.174999,21.870001,21.125000,21.840000,21.840000,16710800
2003-12-24,21.730000,22.670000,21.719999,22.385000,22.385000,18166400
2003-12-26,22.400000,22.625000,22.125000,22.145000,22.145000,8493400
2003-12-29,22.225000,22.549999,21.905001,22.485001,22.485001,13772400
2003-12-30,22.465000,22.580000,22.250000,22.465000,22.465000,10980200
2003-12-31,22.525000,22.740000,22.309999,22.514999,22.514999,18878600
2004-01-02,22.750000,22.915001,22.559999,22.700001,22.700001,16480000
2004-01-05,22.879999,23.555000,22.674999,23.450001,23.450001,23107800
2004-01-06,23.219999,23.725000,23.174999,23.620001,23.620001,20527800
2004-01-07,23.450001,23.879999,23.424999,23.834999,23.834999,19229000
2004-01-08,24.000000,24.485001,23.934999,24.290001,24.290001,25469200
2004-01-09,24.020000,24.379999,24.000000,24.059999,24.059999,19043400
2004-01-12,24.125000,24.930000,24.100000,24.870001,24.870001,29919400
2004-01-13,24.865000,25.205000,24.105000,24.400000,24.400000,28687400
2004-01-14,24.690001,24.809999,23.844999,24.195000,24.195000,34347200
2004-01-15,23.280001,24.400000,22.930000,24.045000,24.045000,54017800
2004-01-16,24.230000,24.250000,23.549999,24.055000,24.055000,24108600
2004-01-20,23.950001,24.000000,23.379999,23.830000,23.830000,21289000
2004-01-21,23.620001,23.985001,23.455000,23.690001,23.690001,15065800
2004-01-22,23.885000,24.105000,23.455000,23.590000,23.590000,14775000
2004-01-23,23.620001,23.674999,23.375000,23.545000,23.545000,11179400
2004-01-26,23.410000,24.115000,23.295000,24.080000,24.080000,15649000
2004-01-27,24.035000,24.225000,23.500000,23.520000,23.520000,14656800
2004-01-28,23.520000,23.650000,22.795000,23.094999,23.094999,16625200
2004-01-29,23.270000,23.285000,22.125000,23.045000,23.045000,31658200
2004-01-30,23.379999,23.570000,23.070000,23.490000,23.490000,16523400
2004-02-02,23.549999,23.725000,22.985001,23.350000,23.350000,20970400
2004-02-03,23.334999,23.340000,22.540001,22.745001,22.745001,20293400
2004-02-04,22.410000,23.020000,22.400000,22.475000,22.475000,17276400
2004-02-05,22.639999,23.350000,22.565001,23.049999,23.049999,18855400
2004-02-06,23.110001,23.285000,22.940001,23.245001,23.245001,14507600
2004-02-09,23.139999,23.625000,23.115000,23.459999,23.459999,11495600
2004-02-10,23.379999,23.700001,23.280001,23.445000,23.445000,7743800
2004-02-11,23.514999,23.969999,23.260000,23.934999,23.934999,15619200
2004-02-12,23.785000,24.035000,23.615000,23.760000,23.760000,9577000
2004-02-13,23.805000,23.934999,23.174999,23.200001,23.200001,14322400
2004-02-17,23.389999,23.590000,23.025000,23.285000,23.285000,11648800
2004-02-18,23.299999,23.370001,23.000000,23.045000,23.045000,10064000
2004-02-19,23.209999,23.365000,23.000000,23.000000,23.000000,12007800
2004-02-20,22.969999,23.500000,22.775000,23.254999,23.254999,16215000
2004-02-23,23.219999,23.254999,22.240000,22.455000,22.455000,18639400
2004-02-24,22.430000,22.430000,21.760000,21.879999,21.879999,22020200
2004-02-25,22.195000,22.250000,21.415001,21.670000,21.670000,33120000
2004-02-26,21.590000,21.910000,21.530001,21.775000,21.775000,27284200
2004-02-27,21.725000,22.200001,21.705000,22.170000,22.170000,30877600
2004-03-01,22.275000,22.440001,21.955000,22.040001,22.040001,26580200
2004-03-02,22.059999,22.299999,21.490000,21.500000,21.500000,21491200
2004-03-03,21.415001,21.785000,21.094999,21.680000,21.680000,20006400
2004-03-04,21.730000,22.105000,21.674999,22.065001,22.065001,18474400
2004-03-05,21.795000,22.389999,21.735001,22.200001,22.200001,20294600
2004-03-08,22.165001,22.715000,21.850000,21.920000,21.920000,20297600
2004-03-09,21.934999,22.139999,21.455000,21.674999,21.674999,20994200
2004-03-10,21.665001,21.875000,20.754999,20.850000,20.850000,26451600
2004-03-11,20.645000,21.280001,20.570000,20.825001,20.825001,28028800
2004-03-12,20.940001,21.629999,20.860001,21.510000,21.510000,17305800
2004-03-15,21.575001,21.684999,20.809999,20.875000,20.875000,14253200
2004-03-16,21.045000,21.485001,21.000000,21.285000,21.285000,20002800
2004-03-17,22.080000,22.525000,22.025000,22.424999,22.424999,32029200
2004-03-18,22.395000,22.645000,22.180000,22.525000,22.525000,20207200
2004-03-19,22.430000,23.344999,22.420000,22.875000,22.875000,28441000
2004-03-22,22.500000,22.575001,21.879999,22.235001,22.235001,24057600
2004-03-23,22.375000,22.420000,21.920000,22.040001,22.040001,18597400
2004-03-24,22.135000,22.285000,21.745001,22.250000,22.250000,17418400
2004-03-25,22.490000,23.495001,22.480000,23.469999,23.469999,23709000
2004-03-26,23.375000,23.764999,23.365000,23.565001,23.565001,16950800
2004-03-29,23.600000,23.950001,23.555000,23.844999,23.844999,17705600
2004-03-30,23.799999,24.430000,23.775000,24.395000,24.395000,17370400
2004-03-31,24.370001,24.650000,24.165001,24.235001,24.235001,21079800
2004-04-01,24.410000,24.855000,24.209999,24.725000,24.725000,22423000
2004-04-02,25.260000,25.315001,24.629999,25.075001,25.075001,22649600
2004-04-05,25.030001,25.495001,24.650000,24.995001,24.995001,22794400
2004-04-06,24.555000,24.650000,24.110001,24.385000,24.385000,23672800
2004-04-07,24.225000,24.625000,23.945000,24.174999,24.174999,33223600
2004-04-08,27.860001,28.120001,27.250000,28.105000,28.105000,90565800
2004-04-12,27.889999,27.985001,27.434999,27.570000,27.570000,34690800
2004-04-13,27.495001,27.540001,26.924999,27.070000,27.070000,26006600
2004-04-14,26.834999,27.475000,26.715000,27.344999,27.344999,20407400
2004-04-15,27.405001,27.434999,26.875000,26.950001,26.950001,17628400
2004-04-16,26.965000,27.389999,26.674999,27.070000,27.070000,19200600
2004-04-19,26.934999,27.920000,26.875000,27.844999,27.844999,19227800
2004-04-20,27.934999,27.975000,26.750000,26.775000,26.775000,20080800
2004-04-21,26.950001,27.379999,26.545000,27.290001,27.290001,20465200
2004-04-22,27.389999,28.985001,27.254999,28.795000,28.795000,32878000
2004-04-23,28.674999,28.750000,27.955000,28.375000,28.375000,19840200
2004-04-26,28.225000,29.174999,27.975000,28.500000,28.500000,21909400
2004-04-27,28.490000,29.125000,28.285000,28.770000,28.770000,20146600
2004-04-28,28.885000,29.160000,27.875000,27.915001,27.915001,20569400
2004-04-29,27.889999,28.200001,26.775000,27.355000,27.355000,29266400
2004-04-30,27.205000,27.295000,25.010000,25.264999,25.264999,53096600
2004-05-03,25.264999,26.200001,25.254999,26.150000,26.150000,29483200
2004-05-04,26.170000,26.930000,26.125000,26.424999,26.424999,24891800
2004-05-05,26.485001,26.959999,26.455000,26.580000,26.580000,15579000
2004-05-06,26.600000,26.600000,25.815001,26.180000,26.180000,20360600
2004-05-07,26.209999,26.870001,26.139999,26.400000,26.400000,22879000
2004-05-10,26.195000,26.200001,25.334999,25.665001,25.665001,31360600
2004-05-11,26.174999,27.000000,26.090000,26.764999,26.764999,34553400
2004-05-12,26.809999,27.180000,25.760000,27.080000,27.080000,26108100
2004-05-13,27.180000,28.100000,26.780001,27.100000,27.100000,19947800
2004-05-14,27.540001,27.670000,26.750000,26.969999,26.969999,19204900
2004-05-17,26.350000,27.660000,26.209999,27.020000,27.020000,13986900
2004-05-18,27.490000,27.980000,27.309999,27.770000,27.770000,19084700
2004-05-19,28.610001,28.900000,27.820000,27.950001,27.950001,25635100
2004-05-20,28.120001,28.299999,27.510000,28.030001,28.030001,16537200
2004-05-21,28.299999,28.850000,28.150000,28.549999,28.549999,15443000
2004-05-24,28.840000,29.760000,28.840000,29.430000,29.430000,23701900
2004-05-25,28.940001,30.500000,28.879999,30.280001,30.280001,25008100
2004-05-26,29.780001,30.400000,29.770000,30.110001,30.110001,20933100
2004-05-27,30.410000,30.799999,30.000000,30.559999,30.559999,18645100
2004-05-28,30.410000,31.160000,30.299999,30.660000,30.660000,16671800
2004-06-01,30.490000,32.820000,30.430000,32.480000,32.480000,28801700
2004-06-02,32.450001,32.840000,31.490000,31.549999,31.549999,30055600
2004-06-03,31.660000,31.809999,31.059999,31.190001,31.190001,18500900
2004-06-04,31.879999,32.200001,31.450001,31.870001,31.870001,16267800
2004-06-07,32.360001,32.520000,32.029999,32.509998,32.509998,17988200
2004-06-08,32.320000,33.000000,32.279999,32.990002,32.990002,18337200
2004-06-09,32.950001,33.009998,32.080002,32.320000,32.320000,16989900
2004-06-10,32.730000,32.740002,31.860001,32.400002,32.400002,17537700
2004-06-14,32.180000,32.240002,31.440001,31.650000,31.650000,11766900
2004-06-15,31.990000,32.580002,31.969999,32.099998,32.099998,14796000
2004-06-16,32.410000,32.770000,32.070000,32.470001,32.470001,11281800
2004-06-17,32.389999,32.529999,31.959999,32.380001,32.380001,11658700
2004-06-18,32.110001,32.869999,31.950001,32.070000,32.070000,15809400
2004-06-21,32.200001,32.380001,31.559999,31.670000,31.670000,12367400
2004-06-22,31.959999,32.549999,31.770000,32.540001,32.540001,15136600
2004-06-23,32.540001,34.189999,32.520000,33.970001,33.970001,27370700
2004-06-24,33.639999,34.380001,33.639999,34.110001,34.110001,15620000
2004-06-25,34.369999,35.360001,33.500000,34.910000,34.910000,20260800
2004-06-28,35.080002,36.270000,34.980000,35.480000,35.480000,24739200
2004-06-29,35.380001,35.770000,35.080002,35.349998,35.349998,15009200
2004-06-30,35.990002,36.509998,35.700001,36.400002,36.400002,21374100
2004-07-01,35.139999,35.340000,34.110001,34.299999,34.299999,28525400
2004-07-02,34.459999,34.540001,33.570000,33.939999,33.939999,16242300
2004-07-06,34.000000,34.000000,32.299999,33.220001,33.220001,27496900
2004-07-07,33.070000,33.139999,32.299999,32.599998,32.599998,35597600
2004-07-08,29.420000,31.240000,28.990000,30.080000,30.080000,87532700
2004-07-09,30.879999,30.980000,29.629999,30.110001,30.110001,26462600
2004-07-12,29.660000,30.360001,29.530001,30.260000,30.260000,19661900
2004-07-13,30.590000,30.799999,30.010000,30.340000,30.340000,19083300
2004-07-14,29.740000,31.150000,29.299999,30.660000,30.660000,18758700
2004-07-15,31.000000,31.010000,30.090000,30.250000,30.250000,13566000
2004-07-16,30.719999,30.750000,29.150000,29.190001,29.190001,18654300
2004-07-19,28.900000,29.000000,27.540001,28.110001,28.110001,32020300
2004-07-20,28.200001,29.629999,28.160000,29.389999,29.389999,19513500
2004-07-21,30.110001,30.150000,28.100000,28.129999,28.129999,19493300
2004-07-22,27.820000,29.320000,27.510000,29.260000,29.260000,26079400
2004-07-23,28.200001,28.969999,28.030001,28.190001,28.190001,15762300
2004-07-26,28.450001,28.750000,27.580000,28.209999,28.209999,21484500
2004-07-27,28.600000,30.219999,28.450001,30.000000,30.000000,25597200
2004-07-28,29.790001,30.379999,28.860001,29.700001,29.700001,24592700
2004-07-29,30.559999,30.799999,30.000000,30.490000,30.490000,18747300
2004-07-30,30.250000,31.120001,30.190001,30.799999,30.799999,16265700
2004-08-02,30.570000,30.610001,30.129999,30.420000,30.420000,12250800
2004-08-03,30.410000,30.590000,28.980000,29.150000,29.150000,17729200
2004-08-04,27.980000,28.230000,27.580000,27.910000,27.910000,30154500
2004-08-05,28.459999,28.459999,26.700001,26.799999,26.799999,27642000
2004-08-06,26.469999,26.700001,25.770000,26.020000,26.020000,30177200
2004-08-09,26.290001,26.389999,25.520000,25.700001,25.700001,18997700
2004-08-10,26.160000,27.240000,26.000000,27.150000,27.150000,24449700
2004-08-11,26.400000,27.809999,26.240000,27.420000,27.420000,24805300
2004-08-12,27.430000,27.930000,27.190001,27.549999,27.549999,18779300
2004-08-13,27.830000,27.879999,26.900000,27.490000,27.490000,16278400
2004-08-16,27.389999,28.770000,27.299999,28.250000,28.250000,15923600
2004-08-17,28.629999,29.160000,28.170000,28.340000,28.340000,19609800
2004-08-18,27.459999,28.540001,27.420000,28.480000,28.480000,22358300
2004-08-19,28.340000,28.969999,27.900000,28.110001,28.110001,27657500
2004-08-20,27.879999,28.830000,27.830000,28.610001,28.610001,17228700
2004-08-23,29.100000,29.190001,28.559999,28.629999,28.629999,13024400
2004-08-24,28.990000,29.080000,28.049999,28.410000,28.410000,16537400
2004-08-25,28.360001,29.500000,28.209999,29.370001,29.370001,15518100
2004-08-26,29.000000,29.490000,28.959999,29.170000,29.170000,9756000
2004-08-27,29.430000,29.570000,29.190001,29.299999,29.299999,8327500
2004-08-30,29.070000,29.070000,28.350000,28.459999,28.459999,12762700
2004-08-31,28.480000,28.700001,28.080000,28.510000,28.510000,11381700
2004-09-01,28.389999,29.040001,28.129999,29.010000,29.010000,16668100
2004-09-02,28.700001,30.160000,28.660000,29.840000,29.840000,17247700
2004-09-03,29.750000,30.309999,29.270000,29.459999,29.459999,12782700
2004-09-07,29.870001,30.100000,29.270000,29.639999,29.639999,16331200
2004-09-08,29.610001,30.469999,29.570000,30.379999,30.379999,18660200
2004-09-09,30.200001,30.700001,29.830000,30.490000,30.490000,16353800
2004-09-10,30.240000,31.120001,30.209999,31.080000,31.080000,11312500
2004-09-13,31.010000,31.990000,31.010000,31.870001,31.870001,17476400
2004-09-14,31.620001,33.549999,31.440001,33.200001,33.200001,28245600
2004-09-15,32.700001,33.400002,32.410000,32.900002,32.900002,16915900
2004-09-16,32.889999,33.939999,32.520000,32.790001,32.790001,23336100
2004-09-17,33.000000,33.500000,32.660000,33.459999,33.459999,15049000
2004-09-20,32.849998,34.040001,32.849998,33.259998,33.259998,18702200
2004-09-21,33.349998,33.480000,32.799999,33.259998,33.259998,17063500
2004-09-22,32.810001,33.750000,32.380001,32.470001,32.470001,22239800
2004-09-23,32.709999,33.330002,32.330002,33.040001,33.040001,15695100
2004-09-24,33.189999,33.250000,32.560001,32.580002,32.580002,11285600
2004-09-27,32.540001,32.720001,31.650000,31.820000,31.820000,15218800
2004-09-28,32.270000,33.000000,31.670000,32.799999,32.799999,18218200
2004-09-29,32.779999,34.150002,32.770000,34.000000,34.000000,30183700
2004-09-30,33.590000,34.490002,33.560001,33.910000,33.910000,25706900
2004-10-01,34.349998,35.139999,34.119999,35.029999,35.029999,22100300
2004-10-04,35.049999,35.450001,34.730000,34.910000,34.910000,21264100
2004-10-05,34.520000,35.000000,34.430000,34.959999,34.959999,14934400
2004-10-06,34.720001,35.150002,34.509998,34.959999,34.959999,17118000
2004-10-07,34.880001,35.490002,34.720001,34.779999,34.779999,16233700
2004-10-08,34.480000,35.000000,34.099998,34.169998,34.169998,16152700
2004-10-11,34.400002,34.549999,33.650002,34.020000,34.020000,12664400
2004-10-12,33.709999,34.480000,33.599998,34.230000,34.230000,31284000
2004-10-13,35.950001,36.279999,34.840000,34.959999,34.959999,49492300
2004-10-14,34.980000,35.150002,34.220001,34.959999,34.959999,22861600
2004-10-15,34.889999,35.029999,34.410000,34.520000,34.520000,19657500
2004-10-18,34.320000,35.400002,34.110001,35.299999,35.299999,19801400
2004-10-19,35.439999,35.689999,34.529999,34.639999,34.639999,22291600
2004-10-20,34.380001,34.570000,34.000000,34.490002,34.490002,15943900
2004-10-21,35.400002,35.930000,34.900002,35.700001,35.700001,27937000
2004-10-22,36.570000,36.750000,34.930000,34.959999,34.959999,35643200
2004-10-25,34.830002,35.240002,34.500000,35.200001,35.200001,17718300
2004-10-26,35.119999,35.389999,34.750000,35.090000,35.090000,15698700
2004-10-27,34.900002,36.520000,34.849998,36.180000,36.180000,20968100
2004-10-28,35.820000,36.500000,35.820000,36.450001,36.450001,13245200
2004-10-29,36.080002,36.720001,35.860001,36.189999,36.189999,13432500
2004-11-01,35.910000,37.000000,35.860001,36.919998,36.919998,16436900
2004-11-02,37.029999,38.150002,36.889999,37.740002,37.740002,22925400
2004-11-03,39.200001,39.250000,37.540001,37.970001,37.970001,25377500
2004-11-04,37.570000,37.950001,36.750000,37.660000,37.660000,19812300
2004-11-05,37.680000,37.849998,35.759998,36.349998,36.349998,25428100
2004-11-08,36.790001,37.320000,36.709999,37.139999,37.139999,15368500
2004-11-09,37.240002,37.630001,36.860001,37.029999,37.029999,14937800
2004-11-10,36.849998,37.189999,36.369999,36.660000,36.660000,14160400
2004-11-11,36.900002,37.820000,36.459999,37.790001,37.790001,16640100
2004-11-12,37.869999,38.299999,37.529999,37.799999,37.799999,16545200
2004-11-15,37.770000,38.000000,37.310001,37.630001,37.630001,13108100
2004-11-16,37.290001,37.410000,36.560001,36.740002,36.740002,15160100
2004-11-17,36.950001,37.369999,36.480000,36.950001,36.950001,15189100
2004-11-18,37.430000,37.779999,37.099998,37.189999,37.189999,15401000
2004-11-19,37.240002,37.410000,35.900002,36.150002,36.150002,15936600
2004-11-22,35.990002,36.500000,35.349998,36.450001,36.450001,17256100
2004-11-23,36.700001,37.049999,36.099998,36.400002,36.400002,14691000
2004-11-24,37.150002,37.639999,36.660000,37.610001,37.610001,16495200
2004-11-26,37.830002,38.150002,37.570000,37.810001,37.810001,6230900
2004-11-29,38.090000,38.240002,37.500000,38.119999,38.119999,13895100
2004-11-30,37.919998,38.189999,37.520000,37.619999,37.619999,10965100
2004-12-01,37.900002,38.029999,37.349998,38.000000,38.000000,13204800
2004-12-02,37.959999,39.400002,37.889999,39.139999,39.139999,22437500
2004-12-03,39.139999,39.790001,38.709999,39.020000,39.020000,15890900
2004-12-06,38.709999,39.000000,38.509998,38.840000,38.840000,12007500
2004-12-07,38.750000,38.930000,37.000000,37.080002,37.080002,17718900
2004-12-08,37.349998,37.439999,36.779999,37.049999,37.049999,14006800
2004-12-09,36.830002,38.639999,36.820000,38.310001,38.310001,18900700
2004-12-10,38.020000,38.580002,37.930000,38.020000,38.020000,10019700
2004-12-13,38.259998,38.320000,37.549999,38.090000,38.090000,10266600
2004-12-14,37.980000,38.470001,37.820000,38.259998,38.259998,10088500
2004-12-15,38.130001,38.590000,37.950001,38.290001,38.290001,9710500
2004-12-16,38.330002,38.360001,36.900002,37.080002,37.080002,18292300
2004-12-17,36.770000,37.540001,36.610001,36.770000,36.770000,13640900
2004-12-20,36.889999,37.529999,36.209999,36.660000,36.660000,18330400
2004-12-21,36.980000,37.160000,36.240002,36.660000,36.660000,12393500
2004-12-22,36.470001,37.349998,36.410000,37.290001,37.290001,11297700
2004-12-23,37.430000,37.500000,37.209999,37.250000,37.250000,6045500
2004-12-27,37.450001,38.000000,37.400002,37.740002,37.740002,11095800
2004-12-28,37.849998,37.990002,37.650002,37.900002,37.900002,11291000
2004-12-29,37.830002,38.400002,37.750000,37.849998,37.849998,10160200
2004-12-30,38.029999,38.209999,37.820000,37.869999,37.869999,6955700
2004-12-31,38.040001,38.200001,37.500000,37.680000,37.680000,7556600
2005-01-03,38.360001,38.900002,37.650002,38.180000,38.180000,25482800
2005-01-04,38.450001,38.540001,36.459999,36.580002,36.580002,26625300
2005-01-05,36.689999,36.980000,36.060001,36.130001,36.130001,18469100
2005-01-06,36.320000,36.500000,35.209999,35.430000,35.430000,20835300
2005-01-07,35.990002,36.459999,35.410000,35.959999,35.959999,18596300
2005-01-10,36.000000,36.759998,35.509998,36.320000,36.320000,17482800
2005-01-11,36.310001,36.580002,35.389999,35.660000,35.660000,19711900
2005-01-12,35.880001,36.180000,34.799999,36.139999,36.139999,23274700
2005-01-13,36.119999,36.320000,35.259998,35.330002,35.330002,18526500
2005-01-14,35.860001,36.700001,35.830002,36.700001,36.700001,27697700
2005-01-18,37.099998,37.459999,36.599998,37.180000,37.180000,42709600
2005-01-19,38.080002,38.200001,36.419998,36.450001,36.450001,44303200
2005-01-20,35.389999,36.419998,35.049999,35.779999,35.779999,30239100
2005-01-21,36.070000,36.110001,35.290001,35.299999,35.299999,26608000
2005-01-24,35.480000,35.520000,33.750000,33.930000,33.930000,31477400
2005-01-25,34.549999,34.759998,33.939999,34.040001,34.040001,26521400
2005-01-26,34.709999,35.740002,34.389999,35.470001,35.470001,25767500
2005-01-27,35.380001,35.490002,34.349998,34.730000,34.730000,21450800
2005-01-28,34.900002,35.240002,34.119999,34.619999,34.619999,17853700
2005-01-31,35.040001,35.439999,34.529999,35.209999,35.209999,20712200
2005-02-01,35.130001,35.279999,34.459999,34.750000,34.750000,18633600
2005-02-02,36.020000,36.340000,35.290001,35.540001,35.540001,33495200
2005-02-03,35.270000,35.669998,35.000000,35.090000,35.090000,16742400
2005-02-04,34.709999,35.299999,34.709999,35.020000,35.020000,16850200
2005-02-07,35.070000,35.189999,34.360001,34.470001,34.470001,14588900
2005-02-08,34.639999,34.910000,34.320000,34.360001,34.360001,17321500
2005-02-09,34.599998,34.660000,33.450001,33.590000,33.590000,18285100
2005-02-10,33.720001,33.720001,32.470001,33.439999,33.439999,32637400
2005-02-11,33.450001,34.700001,33.310001,34.150002,34.150002,20005800
2005-02-14,34.009998,34.410000,33.779999,34.330002,34.330002,20065300
2005-02-15,34.340000,34.919998,33.810001,33.980000,33.980000,20391900
2005-02-16,33.810001,34.820000,33.750000,34.419998,34.419998,22176200
2005-02-17,34.419998,34.790001,33.759998,33.820000,33.820000,16203500
2005-02-18,33.840000,33.980000,33.380001,33.599998,33.599998,12436100
2005-02-22,33.250000,33.820000,32.660000,32.790001,32.790001,18142600
2005-02-23,32.820000,32.919998,31.400000,32.119999,32.119999,34757100
2005-02-24,30.430000,31.490000,30.299999,31.480000,31.480000,55457300
2005-02-25,31.530001,31.959999,31.430000,31.730000,31.730000,20114900
2005-02-28,31.740000,33.770000,31.620001,32.270000,32.270000,25266400
2005-03-01,32.369999,32.669998,32.049999,32.299999,32.299999,20222500
2005-03-02,32.070000,32.599998,31.750000,32.230000,32.230000,15357200
2005-03-03,32.250000,32.480000,31.799999,32.310001,32.310001,17896100
2005-03-04,32.360001,32.570000,31.760000,32.360001,32.360001,17499800
2005-03-07,32.400002,33.310001,32.360001,33.090000,33.090000,17679200
2005-03-08,33.549999,33.730000,33.139999,33.160000,33.160000,17839300
2005-03-09,33.009998,33.150002,32.009998,32.320000,32.320000,21824400
2005-03-10,32.430000,32.560001,31.600000,31.910000,31.910000,19381200
2005-03-11,31.860001,32.209999,31.650000,31.650000,31.650000,13364800
2005-03-14,31.740000,31.830000,30.650000,31.320000,31.320000,19762000
2005-03-15,31.610001,32.279999,31.530001,31.940001,31.940001,20880800
2005-03-16,31.870001,32.349998,31.400000,31.580000,31.580000,17952000
2005-03-17,31.799999,31.980000,31.540001,31.610001,31.610001,13760200
2005-03-18,31.530001,31.730000,30.910000,31.110001,31.110001,20796400
2005-03-21,31.290001,31.770000,30.980000,31.620001,31.620001,18449400
2005-03-22,31.700001,31.980000,30.860001,30.990000,30.990000,19570600
2005-03-23,30.910000,31.330000,30.850000,30.870001,30.870001,13917100
2005-03-24,31.940001,32.090000,31.410000,31.410000,31.410000,23162000
2005-03-28,32.209999,32.500000,32.099998,32.250000,32.250000,20624400
2005-03-29,32.180000,32.840000,31.790001,32.160000,32.160000,23544700
2005-03-30,32.310001,33.599998,32.270000,33.480000,33.480000,28267900
2005-03-31,33.549999,34.200001,33.200001,33.900002,33.900002,25390000
2005-04-01,34.180000,34.770000,34.150002,34.279999,34.279999,27955400
2005-04-04,34.340000,35.270000,33.750000,35.070000,35.070000,27853300
2005-04-05,35.150002,35.400002,34.840000,35.150002,35.150002,20275900
2005-04-06,35.139999,35.419998,34.119999,34.490002,34.490002,23574000
2005-04-07,34.450001,35.250000,34.450001,35.070000,35.070000,20575000
2005-04-08,35.040001,35.139999,34.650002,34.759998,34.759998,11106300
2005-04-11,34.970001,35.090000,34.540001,34.599998,34.599998,11758500
2005-04-12,34.349998,34.500000,33.740002,34.279999,34.279999,22681900
2005-04-13,34.160000,34.459999,33.400002,33.599998,33.599998,16886100
2005-04-14,33.630001,34.200001,33.400002,33.459999,33.459999,19855300
2005-04-15,32.959999,33.410000,32.290001,32.459999,32.459999,27008500
2005-04-18,32.430000,33.090000,32.400002,32.549999,32.549999,19201200
2005-04-19,32.959999,33.330002,32.419998,33.220001,33.220001,34158500
2005-04-20,34.959999,35.250000,34.360001,34.650002,34.650002,50104400
2005-04-21,35.119999,35.910000,34.709999,35.869999,35.869999,27731600
2005-04-22,35.209999,35.880001,34.500000,34.869999,34.869999,31869800
2005-04-25,34.580002,35.590000,34.580002,35.490002,35.490002,23883600
2005-04-26,35.119999,35.419998,34.799999,35.000000,35.000000,17921200
2005-04-27,34.700001,35.139999,34.590000,34.950001,34.950001,14861300
2005-04-28,34.700001,34.930000,34.020000,34.330002,34.330002,16159300
2005-04-29,34.599998,34.750000,33.919998,34.500000,34.500000,15666100
2005-05-02,34.439999,34.849998,34.029999,34.380001,34.380001,13231500
2005-05-03,34.049999,34.599998,33.900002,34.279999,34.279999,22042800
2005-05-04,34.430000,35.500000,34.380001,35.180000,35.180000,23410900
2005-05-05,35.099998,35.290001,34.430000,34.709999,34.709999,16926300
2005-05-06,35.000000,35.080002,34.450001,34.520000,34.520000,14202200
2005-05-09,34.480000,34.650002,34.250000,34.590000,34.590000,9991700
2005-05-10,34.299999,34.369999,33.860001,34.060001,34.060001,13227000
2005-05-11,34.090000,34.880001,33.689999,34.880001,34.880001,19537100
2005-05-12,34.950001,35.369999,34.540001,34.709999,34.709999,18906700
2005-05-13,34.709999,35.349998,34.349998,34.820000,34.820000,15855900
2005-05-16,34.779999,35.500000,34.740002,35.450001,35.450001,15473900
2005-05-17,35.200001,35.799999,35.139999,35.680000,35.680000,13178400
2005-05-18,35.790001,36.580002,35.689999,35.950001,35.950001,23769000
2005-05-19,36.130001,36.990002,36.110001,36.750000,36.750000,21267100
2005-05-20,36.599998,36.639999,36.130001,36.330002,36.330002,13771900
2005-05-23,36.099998,37.099998,36.040001,36.799999,36.799999,21616200
2005-05-24,36.869999,37.099998,36.450001,36.630001,36.630001,17421300
2005-05-25,36.250000,36.419998,36.060001,36.270000,36.270000,14995100
2005-05-26,36.450001,37.189999,36.349998,37.139999,37.139999,15547700
2005-05-27,36.980000,37.470001,36.950001,37.270000,37.270000,10256600
2005-05-31,37.029999,37.349998,36.849998,37.200001,37.200001,12498300
2005-06-01,37.310001,38.900002,37.169998,38.419998,38.419998,28153800
2005-06-02,38.200001,38.709999,38.130001,38.500000,38.500000,13150700
2005-06-03,38.240002,38.790001,37.599998,37.919998,37.919998,12813300
2005-06-06,37.790001,38.740002,37.750000,38.520000,38.520000,12416000
2005-06-07,38.720001,38.950001,37.320000,37.439999,37.439999,22848300
2005-06-08,37.419998,37.450001,36.320000,36.630001,36.630001,20121100
2005-06-09,36.810001,37.480000,36.380001,37.450001,37.450001,18455100
2005-06-10,37.480000,37.500000,36.320000,36.810001,36.810001,14216900
2005-06-13,36.660000,37.509998,36.529999,36.900002,36.900002,11586300
2005-06-14,36.560001,37.049999,36.430000,36.799999,36.799999,12781200
2005-06-15,36.970001,37.110001,35.910000,36.320000,36.320000,22753900
2005-06-16,36.459999,36.740002,36.220001,36.400002,36.400002,12228700
2005-06-17,36.759998,36.980000,36.119999,36.299999,36.299999,15952800
2005-06-20,35.959999,36.840000,35.790001,36.450001,36.450001,12753200
2005-06-21,36.369999,37.310001,36.360001,36.950001,36.950001,16219200
2005-06-22,36.910000,37.320000,36.840000,36.900002,36.900002,12148100
2005-06-23,36.849998,37.310001,36.200001,36.200001,36.200001,15547700
2005-06-24,36.259998,36.400002,35.599998,36.090000,36.090000,13468200
2005-06-27,35.880001,36.110001,35.200001,35.680000,35.680000,12044700
2005-06-28,35.950001,36.240002,35.509998,35.799999,35.799999,13346200
2005-06-29,35.799999,35.939999,34.880001,34.939999,34.939999,16481900
2005-06-30,34.840000,35.169998,34.439999,34.650002,34.650002,16699500
2005-07-01,34.759998,34.849998,34.220001,34.439999,34.439999,9861600
2005-07-05,34.250000,35.080002,34.200001,34.599998,34.599998,16086700
2005-07-06,34.639999,34.970001,34.029999,34.119999,34.119999,13585700
2005-07-07,33.869999,34.770000,33.720001,34.630001,34.630001,16354300
2005-07-08,34.770000,34.869999,34.250000,34.619999,34.619999,15515400
2005-07-11,34.900002,35.810001,34.779999,35.759998,35.759998,20233000
2005-07-12,36.200001,36.490002,35.939999,36.230000,36.230000,19665800
2005-07-13,36.419998,36.980000,36.410000,36.730000,36.730000,16897500
2005-07-14,37.400002,37.500000,36.770000,36.860001,36.860001,14722200
2005-07-15,37.049999,37.160000,36.500000,36.580002,36.580002,12372200
2005-07-18,36.450001,36.779999,36.369999,36.580002,36.580002,11019300
2005-07-19,37.020000,38.020000,36.560001,37.730000,37.730000,32685500
2005-07-20,34.209999,34.349998,33.310001,33.400002,33.400002,82623300
2005-07-21,33.750000,33.759998,32.750000,32.939999,32.939999,37778500
2005-07-22,33.349998,33.770000,33.169998,33.529999,33.529999,27561500
2005-07-25,33.880001,34.080002,33.590000,33.849998,33.849998,23252600
2005-07-26,34.049999,34.299999,33.910000,34.150002,34.150002,16819200
2005-07-27,34.220001,34.369999,33.950001,34.290001,34.290001,20497500
2005-07-28,34.230000,34.310001,33.980000,34.009998,34.009998,11871600
2005-07-29,34.009998,34.060001,33.340000,33.340000,33.340000,16236100
2005-08-01,33.630001,33.689999,33.310001,33.330002,33.330002,12637100
2005-08-02,33.459999,34.200001,33.389999,33.880001,33.880001,17581900
2005-08-03,33.750000,34.680000,33.730000,34.509998,34.509998,18240600
2005-08-04,34.259998,34.599998,34.000000,34.060001,34.060001,11143400
2005-08-05,34.090000,34.279999,33.490002,33.520000,33.520000,11873800
2005-08-08,33.860001,34.180000,33.660000,33.939999,33.939999,13066200
2005-08-09,34.150002,34.320000,33.910000,34.060001,34.060001,9987400
2005-08-10,34.279999,34.770000,34.000000,34.189999,34.189999,18047900
2005-08-11,34.540001,35.000000,34.320000,34.939999,34.939999,22391900
2005-08-12,34.860001,34.880001,34.450001,34.599998,34.599998,13306100
2005-08-15,34.799999,34.869999,34.490002,34.599998,34.599998,11244500
2005-08-16,34.570000,34.660000,34.209999,34.230000,34.230000,11867100
2005-08-17,34.299999,34.730000,34.230000,34.389999,34.389999,10443700
2005-08-18,34.130001,34.730000,34.119999,34.360001,34.360001,12154200
2005-08-19,34.389999,34.470001,33.980000,34.000000,34.000000,12810400
2005-08-22,34.070000,34.099998,33.070000,33.200001,33.200001,21054400
2005-08-23,33.290001,33.330002,32.650002,33.110001,33.110001,16912700
2005-08-24,32.919998,33.680000,32.880001,33.470001,33.470001,23249500
2005-08-25,33.540001,33.619999,33.200001,33.480000,33.480000,12564900
2005-08-26,33.509998,33.810001,33.380001,33.570000,33.570000,9833400
2005-08-29,33.400002,33.779999,33.310001,33.680000,33.680000,11427600
2005-08-30,33.500000,33.669998,33.000000,33.180000,33.180000,13496000
2005-08-31,33.230000,33.389999,32.990002,33.320000,33.320000,13035500
2005-09-01,33.279999,33.509998,33.040001,33.240002,33.240002,11848500
2005-09-02,33.200001,33.369999,33.099998,33.169998,33.169998,6849000
2005-09-06,33.180000,33.779999,33.180000,33.680000,33.680000,12513300
2005-09-07,33.500000,34.259998,33.299999,34.060001,34.060001,12545300
2005-09-08,33.740002,33.930000,33.200001,33.340000,33.340000,17464400
2005-09-09,33.349998,33.599998,33.020000,33.459999,33.459999,15247900
2005-09-12,33.419998,34.340000,33.410000,33.910000,33.910000,18580300
2005-09-13,33.930000,34.709999,33.730000,34.299999,34.299999,19346600
2005-09-14,34.299999,34.500000,33.639999,33.799999,33.799999,15017400
2005-09-15,33.950001,33.990002,33.500000,33.570000,33.570000,10404800
2005-09-16,33.740002,33.770000,33.049999,33.169998,33.169998,20858300
2005-09-19,33.270000,33.470001,32.250000,32.750000,32.750000,15429900
2005-09-20,32.880001,33.110001,32.360001,32.639999,32.639999,14578900
2005-09-21,32.529999,33.099998,31.600000,31.969999,31.969999,21896000
2005-09-22,32.090000,32.410000,31.760000,32.040001,32.040001,18259400
2005-09-23,32.119999,32.250000,31.750000,32.130001,32.130001,14903700
2005-09-26,32.480000,32.549999,31.990000,32.180000,32.180000,13548200
2005-09-27,32.169998,32.610001,32.169998,32.480000,32.480000,12246900
2005-09-28,32.669998,32.799999,32.270000,32.349998,32.349998,11622800
2005-09-29,32.400002,33.700001,32.119999,33.459999,33.459999,22209100
2005-09-30,33.590000,34.099998,33.560001,33.840000,33.840000,15697000
2005-10-03,33.799999,34.119999,33.709999,33.770000,33.770000,13184500
2005-10-04,33.750000,34.369999,33.509998,33.570000,33.570000,14331000
2005-10-05,33.790001,33.930000,33.360001,33.490002,33.490002,14642000
2005-10-06,33.950001,34.299999,33.540001,33.799999,33.799999,21836100
2005-10-07,34.029999,34.290001,33.970001,34.160000,34.160000,12253200
2005-10-10,34.200001,34.900002,34.119999,34.529999,34.529999,15227800
2005-10-11,34.549999,34.840000,33.660000,34.099998,34.099998,16504700
2005-10-12,33.990002,34.709999,33.910000,33.930000,33.930000,16089600
2005-10-13,33.799999,33.849998,32.970001,33.369999,33.369999,16254600
2005-10-14,33.619999,33.619999,32.770000,33.520000,33.520000,17425200
2005-10-17,33.849998,34.299999,33.799999,34.160000,34.160000,21994600
2005-10-18,34.400002,34.759998,33.639999,33.700001,33.700001,35010300
2005-10-19,34.619999,35.939999,34.590000,35.910000,35.910000,63254000
2005-10-20,35.900002,36.939999,35.049999,35.259998,35.259998,29267000
2005-10-21,35.990002,36.330002,35.189999,35.290001,35.290001,28423400
2005-10-24,35.299999,35.490002,34.939999,35.279999,35.279999,19591900
2005-10-25,35.189999,35.380001,34.889999,35.119999,35.119999,14441100
2005-10-26,35.060001,35.750000,34.970001,35.459999,35.459999,17125600
2005-10-27,35.340000,35.660000,35.299999,35.450001,35.450001,11605000
2005-10-28,35.619999,35.919998,35.250000,35.580002,35.580002,14123800
2005-10-31,35.599998,37.270000,35.599998,36.970001,36.970001,24867100
2005-11-01,36.619999,38.709999,36.590000,37.720001,37.720001,41932100
2005-11-02,37.490002,38.040001,37.430000,37.990002,37.990002,17886200
2005-11-03,38.259998,38.279999,37.330002,37.450001,37.450001,16880800
2005-11-04,37.590000,37.990002,37.369999,37.869999,37.869999,11656100
2005-11-07,37.689999,38.180000,37.410000,37.900002,37.900002,11652700
2005-11-08,37.750000,38.500000,37.599998,37.970001,37.970001,14434400
2005-11-09,37.759998,38.040001,37.430000,37.750000,37.750000,12217600
2005-11-10,37.520000,38.750000,37.520000,38.689999,38.689999,13722400
2005-11-11,38.689999,39.049999,38.340000,38.490002,38.490002,12234400
2005-11-14,38.430000,38.720001,37.959999,38.450001,38.450001,10112500
2005-11-15,38.259998,38.610001,37.540001,37.650002,37.650002,11981600
2005-11-16,37.900002,40.070000,37.860001,40.040001,40.040001,39464600
2005-11-17,40.320000,42.500000,40.029999,42.230000,42.230000,44796000
2005-11-18,42.040001,42.410000,41.290001,41.540001,41.540001,30747600
2005-11-21,41.259998,42.980000,41.209999,42.270000,42.270000,27915500
2005-11-22,41.730000,42.650002,41.650002,42.360001,42.360001,26389500
2005-11-23,42.209999,43.450001,42.169998,42.500000,42.500000,21471000
2005-11-25,42.709999,42.840000,41.939999,42.130001,42.130001,8253000
2005-11-28,41.630001,41.770000,40.660000,41.110001,41.110001,23190900
2005-11-29,41.009998,41.590000,39.820000,40.189999,40.189999,28698200
2005-11-30,39.380001,40.840000,39.090000,40.230000,40.230000,31608700
2005-12-01,40.740002,41.250000,40.540001,41.070000,41.070000,20069600
2005-12-02,41.220001,41.849998,40.889999,41.209999,41.209999,14411400
2005-12-05,40.880001,41.029999,40.369999,40.470001,40.470001,15389400
2005-12-06,40.779999,41.180000,40.119999,40.189999,40.189999,16356800
2005-12-07,40.310001,40.630001,39.570000,40.110001,40.110001,15644900
2005-12-08,40.250000,40.540001,39.950001,40.349998,40.349998,12851600
2005-12-09,40.500000,40.869999,40.200001,40.310001,40.310001,11116900
2005-12-12,40.410000,40.540001,39.810001,40.080002,40.080002,9776300
2005-12-13,40.009998,41.400002,40.000000,41.200001,41.200001,17264700
2005-12-14,41.119999,41.680000,40.840000,41.299999,41.299999,23034200
2005-12-15,41.230000,41.840000,41.139999,41.750000,41.750000,20900800
2005-12-16,41.860001,42.669998,41.750000,42.320000,42.320000,21805000
2005-12-19,42.160000,42.889999,40.880001,41.049999,41.049999,18563700
2005-12-20,41.259998,41.360001,40.480000,40.680000,40.680000,15269500
2005-12-21,40.520000,41.049999,40.349998,40.470001,40.470001,11626900
2005-12-22,40.689999,41.680000,40.549999,40.830002,40.830002,9548300
2005-12-23,41.090000,41.099998,40.450001,40.630001,40.630001,5070200
2005-12-27,40.650002,40.939999,39.849998,39.939999,39.939999,11672900
2005-12-28,40.099998,40.480000,39.770000,40.250000,40.250000,11567900
2005-12-29,40.250000,40.349998,39.410000,39.560001,39.560001,10116600
2005-12-30,39.400002,39.560001,39.049999,39.180000,39.180000,12233000


================================================
FILE: datas/yhoo-2014.txt
================================================
Date,Open,High,Low,Close,Adj Close,Volume
2014-01-02,40.369999,40.490002,39.310001,39.590000,39.590000,21504200
2014-01-03,40.160000,40.439999,39.820000,40.119999,40.119999,15755200
2014-01-06,40.049999,40.320000,39.750000,39.930000,39.930000,12467500
2014-01-07,40.080002,41.200001,40.080002,40.919998,40.919998,14100000
2014-01-08,41.290001,41.720001,41.020000,41.020000,41.020000,18638200
2014-01-09,41.330002,41.349998,40.610001,40.919998,40.919998,12897300
2014-01-10,40.950001,41.349998,40.820000,41.230000,41.230000,8721700
2014-01-13,41.160000,41.220001,39.799999,39.990002,39.990002,16047200
2014-01-14,40.209999,41.139999,40.040001,41.139999,41.139999,14473900
2014-01-15,41.060001,41.310001,40.759998,41.070000,41.070000,9475500
2014-01-16,40.430000,40.750000,40.110001,40.340000,40.340000,16348200
2014-01-17,40.119999,40.439999,39.470001,40.009998,40.009998,19262500
2014-01-21,39.980000,40.049999,38.860001,39.520000,39.520000,21436400
2014-01-22,39.660000,40.400002,39.320000,40.180000,40.180000,12994600
2014-01-23,39.310001,39.770000,39.139999,39.389999,39.389999,15384300
2014-01-24,38.669998,38.980000,37.619999,37.910000,37.910000,26309000
2014-01-27,37.599998,37.939999,36.619999,36.650002,36.650002,26728000
2014-01-28,36.830002,38.320000,36.520000,38.220001,38.220001,39765300
2014-01-29,35.770000,36.310001,34.820000,34.889999,34.889999,67190500
2014-01-30,34.889999,35.810001,34.450001,35.310001,35.310001,32244700
2014-01-31,34.689999,36.330002,34.549999,36.009998,36.009998,30072400
2014-02-03,35.939999,36.009998,34.660000,34.900002,34.900002,22195200
2014-02-04,35.110001,35.860001,34.860001,35.660000,35.660000,21082500
2014-02-05,35.599998,35.939999,34.990002,35.490002,35.490002,14022900
2014-02-06,35.650002,36.750000,35.610001,36.240002,36.240002,14250000
2014-02-07,36.650002,37.270000,36.240002,37.230000,37.230000,16178500
2014-02-10,38.000000,38.130001,37.250000,37.759998,37.759998,17642900
2014-02-11,38.150002,38.860001,38.090000,38.500000,38.500000,18348000
2014-02-12,38.599998,38.910000,38.029999,38.110001,38.110001,14088500
2014-02-13,37.919998,38.689999,37.790001,38.520000,38.520000,12088100
2014-02-14,38.430000,38.450001,38.110001,38.230000,38.230000,9975800
2014-02-18,38.310001,38.590000,38.090000,38.310001,38.310001,12096400
2014-02-19,38.060001,38.330002,37.680000,37.810001,37.810001,15851900
2014-02-20,37.830002,38.040001,37.299999,37.790001,37.790001,11155900
2014-02-21,37.900002,37.959999,37.220001,37.290001,37.290001,12351900
2014-02-24,37.230000,37.709999,36.820000,37.419998,37.419998,15738900
2014-02-25,37.480000,37.580002,37.020000,37.259998,37.259998,9756900
2014-02-26,37.349998,38.099998,37.340000,37.619999,37.619999,15778900
2014-02-27,37.799999,38.480000,37.740002,38.470001,38.470001,15489400
2014-02-28,38.549999,39.380001,38.220001,38.669998,38.669998,16957100
2014-03-03,37.650002,38.660000,37.430000,38.250000,38.250000,14714700
2014-03-04,38.759998,39.790001,38.680000,39.630001,39.630001,16139400
2014-03-05,39.830002,40.150002,39.189999,39.500000,39.500000,12536800
2014-03-06,39.599998,39.980000,39.500000,39.660000,39.660000,10626700
2014-03-07,39.709999,39.910000,38.450001,38.700001,38.700001,14455500
2014-03-10,38.630001,38.779999,37.910000,38.049999,38.049999,11819200
2014-03-11,38.250000,38.299999,37.430000,37.560001,37.560001,12592300
2014-03-12,37.209999,37.610001,36.480000,37.500000,37.500000,14794700
2014-03-13,38.049999,38.419998,36.810001,37.230000,37.230000,21179700
2014-03-14,36.689999,38.189999,36.450001,37.599998,37.599998,30862300
2014-03-17,39.000000,39.360001,38.610001,39.110001,39.110001,29698300
2014-03-18,39.000000,39.509998,38.799999,39.450001,39.450001,16934700
2014-03-19,39.660000,39.939999,38.509998,38.610001,38.610001,19324600
2014-03-20,38.369999,38.470001,37.419998,37.770000,37.770000,19517000
2014-03-21,38.099998,38.270000,37.730000,37.939999,37.939999,16044200
2014-03-24,38.000000,38.040001,36.279999,36.680000,36.680000,29589000
2014-03-25,37.000000,37.070000,35.860001,35.930000,35.930000,31715100
2014-03-26,36.240002,36.740002,35.450001,35.450001,35.450001,20938800
2014-03-27,35.500000,36.150002,35.049999,35.590000,35.590000,21929600
2014-03-28,35.770000,36.730000,35.529999,35.900002,35.900002,18292900
2014-03-31,36.459999,36.580002,35.730000,35.900002,35.900002,15153200
2014-04-01,36.160000,36.860001,36.150002,36.490002,36.490002,15734000
2014-04-02,36.680000,36.860001,36.560001,36.639999,36.639999,14522800
2014-04-03,36.660000,36.790001,35.509998,35.759998,35.759998,16827800
2014-04-04,36.009998,36.049999,33.830002,34.259998,34.259998,41049900
2014-04-07,34.110001,34.369999,32.529999,33.070000,33.070000,47770200
2014-04-08,33.099998,34.430000,33.020000,33.830002,33.830002,35486100
2014-04-09,34.189999,35.000000,33.950001,34.869999,34.869999,21651200
2014-04-10,34.880001,34.980000,33.090000,33.400002,33.400002,34024900
2014-04-11,32.639999,33.480000,32.150002,32.869999,32.869999,28040700
2014-04-14,33.549999,34.040001,33.040001,33.450001,33.450001,26322600
2014-04-15,33.930000,34.279999,32.639999,34.209999,34.209999,50600400
2014-04-16,36.980000,37.299999,35.810001,36.349998,36.349998,61599100
2014-04-17,36.290001,36.599998,35.549999,36.380001,36.380001,28932700
2014-04-21,36.599998,36.650002,35.889999,36.400002,36.400002,16685400
2014-04-22,36.709999,36.849998,36.110001,36.139999,36.139999,17915200
2014-04-23,36.080002,36.189999,35.400002,35.439999,35.439999,19051700
2014-04-24,35.820000,35.820000,34.770000,35.240002,35.240002,17242300
2014-04-25,35.029999,35.099998,34.290001,34.480000,34.480000,19401600
2014-04-28,34.669998,35.000000,33.650002,33.990002,33.990002,31019200
2014-04-29,34.369999,35.889999,34.119999,35.830002,35.830002,28736000
2014-04-30,35.889999,36.439999,35.250000,35.950001,35.950001,23341500
2014-05-01,36.259998,36.689999,36.000000,36.509998,36.509998,19474700
2014-05-02,36.590000,37.119999,36.209999,36.869999,36.869999,22454100
2014-05-05,36.680000,37.049999,36.299999,36.910000,36.910000,13129100
2014-05-06,36.939999,37.169998,36.480000,36.490002,36.490002,19156000
2014-05-07,35.990002,35.990002,33.669998,34.070000,34.070000,66062700
2014-05-08,33.880001,34.570000,33.610001,33.919998,33.919998,30407700
2014-05-09,34.009998,34.099998,33.410000,33.759998,33.759998,20303400
2014-05-12,33.990002,34.599998,33.869999,34.450001,34.450001,22520600
2014-05-13,34.430000,34.689999,34.169998,34.400002,34.400002,12477100
2014-05-14,34.480000,34.650002,33.980000,34.169998,34.169998,17039000
2014-05-15,34.180000,34.189999,33.400002,33.799999,33.799999,18879800
2014-05-16,33.660000,33.660000,33.099998,33.410000,33.410000,18847100
2014-05-19,33.410000,33.990002,33.279999,33.889999,33.889999,14845700
2014-05-20,33.990002,34.470001,33.669998,33.869999,33.869999,18596700
2014-05-21,34.000000,34.389999,33.889999,34.360001,34.360001,13804500
2014-05-22,34.599998,34.860001,34.259998,34.700001,34.700001,17522800
2014-05-23,34.849998,35.080002,34.509998,35.020000,35.020000,16294400
2014-05-27,35.000000,35.130001,34.730000,35.119999,35.119999,13057000
2014-05-28,35.150002,35.169998,34.419998,34.779999,34.779999,16960500
2014-05-29,34.900002,35.099998,34.669998,34.900002,34.900002,9780800
2014-05-30,34.919998,34.930000,34.130001,34.650002,34.650002,13153000
2014-06-02,34.689999,34.950001,34.279999,34.869999,34.869999,9178900
2014-06-03,34.799999,34.970001,34.580002,34.650002,34.650002,6557500
2014-06-04,34.480000,34.830002,34.259998,34.730000,34.730000,9434100
2014-06-05,34.790001,34.990002,34.360001,34.939999,34.939999,11192800
2014-06-06,35.060001,36.080002,35.049999,35.919998,35.919998,18707200
2014-06-09,35.860001,36.320000,35.540001,36.040001,36.040001,14390000
2014-06-10,35.869999,36.520000,35.860001,36.310001,36.310001,9179300
2014-06-11,36.250000,36.840000,36.110001,36.630001,36.630001,13321500
2014-06-12,36.500000,36.790001,36.340000,36.779999,36.779999,12466100
2014-06-13,36.880001,37.060001,36.639999,36.939999,36.939999,12926300
2014-06-16,35.000000,35.490002,34.770000,34.810001,34.810001,32432300
2014-06-17,34.799999,34.939999,34.299999,34.430000,34.430000,24402900
2014-06-18,34.669998,35.009998,34.259998,34.939999,34.939999,17836000
2014-06-19,35.139999,35.200001,34.520000,34.680000,34.680000,16200000
2014-06-20,34.810001,34.810001,33.970001,34.049999,34.049999,21605800
2014-06-23,34.130001,34.220001,33.369999,33.639999,33.639999,26206400
2014-06-24,33.790001,33.990002,33.349998,33.480000,33.480000,14589800
2014-06-25,33.380001,33.650002,33.099998,33.250000,33.250000,18074400
2014-06-26,33.250000,33.750000,33.020000,33.660000,33.660000,16010000
2014-06-27,33.849998,34.549999,33.700001,34.250000,34.250000,25500600
2014-06-30,34.930000,35.259998,34.849998,35.130001,35.130001,20450100
2014-07-01,35.500000,35.700001,35.209999,35.349998,35.349998,18609600
2014-07-02,35.619999,35.910000,35.400002,35.880001,35.880001,16533600
2014-07-03,36.070000,36.150002,35.900002,36.139999,36.139999,8604900
2014-07-07,36.150002,36.230000,35.480000,35.520000,35.520000,15716800
2014-07-08,35.639999,35.660000,34.279999,34.529999,34.529999,23096900
2014-07-09,34.680000,35.070000,34.680000,34.849998,34.849998,12626900
2014-07-10,34.330002,34.970001,34.099998,34.930000,34.930000,18064800
2014-07-11,34.950001,35.560001,34.779999,35.430000,35.430000,18379500
2014-07-14,35.799999,35.950001,35.450001,35.700001,35.700001,18680500
2014-07-15,35.720001,35.939999,35.200001,35.610001,35.610001,36316600
2014-07-16,34.419998,34.450001,33.720001,33.790001,33.790001,56260600
2014-07-17,33.820000,33.900002,32.980000,33.209999,33.209999,37535900
2014-07-18,33.180000,33.349998,32.930000,33.330002,33.330002,21540900
2014-07-21,33.349998,33.639999,33.160000,33.279999,33.279999,18431000
2014-07-22,33.480000,33.840000,33.400002,33.599998,33.599998,18153600
2014-07-23,33.779999,34.919998,33.680000,34.709999,34.709999,38622500
2014-07-24,35.090000,36.549999,35.040001,36.169998,36.169998,47391000
2014-07-25,36.000000,36.330002,35.750000,36.119999,36.119999,20143800
2014-07-28,36.230000,36.230000,35.509998,35.900002,35.900002,14607200
2014-07-29,35.910000,36.160000,35.669998,35.680000,35.680000,11570900
2014-07-30,35.939999,36.990002,35.799999,36.599998,36.599998,29876700
2014-07-31,36.259998,36.490002,35.680000,35.810001,35.810001,17937400
2014-08-01,35.689999,36.080002,35.310001,35.619999,35.619999,14573000
2014-08-04,35.709999,36.660000,35.650002,36.529999,36.529999,13097200
2014-08-05,36.320000,36.419998,35.619999,35.700001,35.700001,17636400
2014-08-06,35.580002,35.939999,35.439999,35.790001,35.790001,11770500
2014-08-07,36.000000,36.000000,35.529999,35.660000,35.660000,11306600
2014-08-08,35.730000,35.959999,35.400002,35.910000,35.910000,10593700
2014-08-11,36.099998,36.150002,35.750000,35.790001,35.790001,8660100
2014-08-12,35.799999,35.990002,35.150002,35.520000,35.520000,12902700
2014-08-13,35.959999,36.450001,35.770000,36.189999,36.189999,16532300
2014-08-14,36.320000,36.419998,36.169998,36.360001,36.360001,8927300
2014-08-15,36.200001,36.570000,36.119999,36.470001,36.470001,13338900
2014-08-18,36.770000,37.770000,36.750000,37.380001,37.380001,20153200
2014-08-19,37.560001,37.939999,37.500000,37.830002,37.830002,17084900
2014-08-20,37.610001,37.750000,37.310001,37.500000,37.500000,12670300
2014-08-21,37.650002,37.750000,37.310001,37.639999,37.639999,12254900
2014-08-22,37.700001,38.200001,37.639999,38.009998,38.009998,14879100
2014-08-25,38.139999,38.220001,37.540001,37.709999,37.709999,14356400
2014-08-26,37.759998,37.919998,37.560001,37.790001,37.790001,9516800
2014-08-27,38.299999,38.720001,37.830002,38.180000,38.180000,24843000
2014-08-28,38.090000,38.570000,37.900002,38.310001,38.310001,16490600
2014-08-29,38.570000,38.669998,38.200001,38.509998,38.509998,11634100
2014-09-02,38.900002,39.299999,38.790001,39.270000,39.270000,19803300
2014-09-03,39.490002,39.599998,38.689999,38.869999,38.869999,16092900
2014-09-04,39.139999,39.340000,38.959999,39.189999,39.189999,14763300
2014-09-05,39.049999,39.799999,39.049999,39.590000,39.590000,26200400
2014-09-08,40.340000,41.820000,40.259998,41.810001,41.810001,75520200
2014-09-09,42.009998,42.060001,40.599998,40.779999,40.779999,52683000
2014-09-10,41.049999,41.230000,40.330002,41.139999,41.139999,30741800
2014-09-11,41.020000,41.560001,40.930000,41.259998,41.259998,25203000
2014-09-12,41.730000,43.200001,41.500000,42.880001,42.880001,69556500
2014-09-15,43.980000,44.009998,42.139999,42.549999,42.549999,72409900
2014-09-16,42.610001,42.959999,41.689999,42.709999,42.709999,61490700
2014-09-17,42.369999,42.959999,42.299999,42.590000,42.590000,39495500
2014-09-18,43.049999,43.320000,41.419998,42.090000,42.090000,93702100
2014-09-19,42.439999,43.189999,39.549999,40.930000,40.930000,233872100
2014-09-22,39.770000,40.040001,38.220001,38.650002,38.650002,109217100
2014-09-23,38.150002,39.270000,37.900002,39.049999,39.049999,66105300
2014-09-24,39.259998,40.099998,38.910000,39.880001,39.880001,49014100
2014-09-25,39.560001,39.799999,38.820000,38.950001,38.950001,35916500
2014-09-26,39.009998,40.799999,39.000000,40.660000,40.660000,62189200
2014-09-29,40.410000,41.090000,40.160000,40.520000,40.520000,35883300
2014-09-30,40.580002,41.230000,40.439999,40.750000,40.750000,30386500
2014-10-01,40.660000,41.240002,40.110001,40.320000,40.320000,35172900
2014-10-02,40.240002,40.639999,39.689999,40.500000,40.500000,24584400
2014-10-03,40.790001,41.689999,40.650002,41.029999,41.029999,38191700
2014-10-06,41.200001,41.730000,41.040001,41.520000,41.520000,23576100
2014-10-07,41.060001,41.290001,40.779999,40.930000,40.930000,22538300
2014-10-08,41.000000,41.290001,40.099998,41.080002,41.080002,26593500
2014-10-09,40.900002,41.250000,40.419998,41.099998,41.099998,33519600
2014-10-10,40.730000,41.070000,39.590000,39.599998,39.599998,36771500
2014-10-13,39.520000,40.070000,38.290001,38.380001,38.380001,38841900
2014-10-14,38.660000,39.000000,37.709999,37.970001,37.970001,38509000
2014-10-15,37.270000,38.080002,36.200001,37.820000,37.820000,41973500
2014-10-16,36.950001,38.500000,36.919998,38.119999,38.119999,26998500
2014-10-17,38.740002,38.980000,38.310001,38.450001,38.450001,24107000
2014-10-20,38.470001,39.400002,38.250000,39.279999,39.279999,17802400
2014-10-21,39.650002,40.480000,39.459999,40.180000,40.180000,41955200
2014-10-22,42.419998,42.880001,41.770000,42.000000,42.000000,69348900
2014-10-23,42.400002,42.830002,42.259998,42.599998,42.599998,30653400
2014-10-24,42.529999,43.650002,42.400002,43.500000,43.500000,33805800
2014-10-27,43.310001,44.820000,43.290001,44.700001,44.700001,36596500
2014-10-28,45.009998,46.150002,44.880001,45.869999,45.869999,36889300
2014-10-29,45.939999,45.980000,45.130001,45.430000,45.430000,25389100
2014-10-30,45.209999,45.840000,45.130001,45.630001,45.630001,16209600
2014-10-31,46.160000,46.520000,45.669998,46.049999,46.049999,18446800
2014-11-03,46.049999,46.720001,45.939999,46.340000,46.340000,17181500
2014-11-04,45.990002,47.130001,45.740002,47.080002,47.080002,25051500
2014-11-05,47.619999,48.279999,47.320000,47.459999,47.459999,33021500
2014-11-06,47.369999,47.980000,46.599998,47.930000,47.930000,22636000
2014-11-07,47.900002,48.669998,47.860001,48.549999,48.549999,24166700
2014-11-10,48.799999,49.630001,48.790001,49.410000,49.410000,24730300
2014-11-11,48.570000,49.180000,48.099998,49.049999,49.049999,31586300
2014-11-12,49.330002,50.630001,49.220001,50.599998,50.599998,30564700
2014-11-13,50.959999,51.169998,49.950001,50.500000,50.500000,35519200
2014-11-14,50.520000,51.950001,50.470001,51.750000,51.750000,28824700
2014-11-17,51.830002,52.419998,50.939999,52.369999,52.369999,38392800
2014-11-18,52.279999,52.619999,51.340000,51.750000,51.750000,26847300
2014-11-19,51.240002,51.369999,50.000000,50.580002,50.580002,29260000
2014-11-20,50.599998,52.230000,50.270000,51.250000,51.250000,28916000
2014-11-21,51.990002,52.250000,50.990002,51.040001,51.040001,22227000
2014-11-24,51.250000,51.830002,51.070000,51.830002,51.830002,14643500
2014-11-25,51.980000,52.189999,51.599998,51.720001,51.720001,14219600
2014-11-26,51.560001,52.259998,51.520000,51.930000,51.930000,13428500
2014-11-28,51.869999,52.000000,51.639999,51.740002,51.740002,8913700
2014-12-01,51.430000,51.430000,49.660000,50.099998,50.099998,23146900
2014-12-02,50.270000,51.119999,50.009998,50.669998,50.669998,16300600
2014-12-03,50.709999,50.970001,50.200001,50.279999,50.279999,14236000
2014-12-04,50.189999,50.669998,49.900002,50.410000,50.410000,12136700
2014-12-05,51.029999,51.250000,50.509998,50.990002,50.990002,15418100
2014-12-08,50.520000,50.900002,49.220001,49.619999,49.619999,18190100
2014-12-09,48.750000,50.529999,48.290001,50.509998,50.509998,19655600
2014-12-10,50.330002,50.689999,49.189999,49.209999,49.209999,16184100
2014-12-11,49.540001,50.580002,49.430000,49.939999,49.939999,21100200
2014-12-12,49.540001,51.169998,49.480000,50.240002,50.240002,20370500
2014-12-15,50.419998,50.919998,49.500000,49.820000,49.820000,18132500
2014-12-16,49.500000,50.080002,48.810001,48.849998,48.849998,21399300
2014-12-17,49.020000,50.250000,48.900002,50.119999,50.119999,17112300
2014-12-18,50.930000,51.150002,50.439999,50.910000,50.910000,15338900
2014-12-19,51.060001,51.470001,50.830002,50.880001,50.880001,24110200
2014-12-22,50.990002,51.599998,50.950001,51.150002,51.150002,24021100
2014-12-23,51.459999,51.459999,49.930000,50.020000,50.020000,15514000
2014-12-24,50.189999,50.919998,50.189999,50.650002,50.650002,5961900
2014-12-26,50.650002,51.060001,50.610001,50.860001,50.860001,5169700
2014-12-29,50.669998,51.009998,50.509998,50.529999,50.529999,6624500
2014-12-30,50.349998,51.270000,50.349998,51.220001,51.220001,10703500
2014-12-31,51.540001,51.680000,50.459999,50.509998,50.509998,9305000


================================================
FILE: pypi.sh
================================================
#!/bin/sh
#
# Generate pypi wheels universal package and upload
#
rm dist/*
python setup.py bdist_wheel --universal
twine upload dist/*


================================================
FILE: samples/analyzer-annualreturn/analyzer-annualreturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
from backtrader.analyzers import (SQN, AnnualReturn, TimeReturn, SharpeRatio,
                                  TradeAnalyzer)


class LongShortStrategy(bt.Strategy):
    '''This strategy buys/sells upong the close price crossing
    upwards/downwards a Simple Moving Average.

    It can be a long-only strategy by setting the param "onlylong" to True
    '''
    params = dict(
        period=15,
        stake=1,
        printout=False,
        onlylong=False,
        csvcross=False,
    )

    def start(self):
        pass

    def stop(self):
        pass

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # To control operation entries
        self.orderid = None

        # Create SMA on 2nd data
        sma = btind.MovAv.SMA(self.data, period=self.p.period)
        # Create a CrossOver Signal from close an moving average
        self.signal = btind.CrossOver(self.data.close, sma)
        self.signal.csv = self.p.csvcross

    def next(self):
        if self.orderid:
            return  # if an order is active, no new orders are allowed

        if self.signal > 0.0:  # cross upwards
            if self.position:
                self.log('CLOSE SHORT , %.2f' % self.data.close[0])
                self.close()

            self.log('BUY CREATE , %.2f' % self.data.close[0])
            self.buy(size=self.p.stake)

        elif self.signal < 0.0:
            if self.position:
                self.log('CLOSE LONG , %.2f' % self.data.close[0])
                self.close()

            if not self.p.onlylong:
                self.log('SELL CREATE , %.2f' % self.data.close[0])
                self.sell(size=self.p.stake)

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.orderid = None

    def notify_trade(self, trade):
        if trade.isclosed:
            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %
                     (trade.pnl, trade.pnlcomm))

        elif trade.justopened:
            self.log('TRADE OPENED, SIZE %2d' % trade.size)


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add the strategy
    cerebro.addstrategy(LongShortStrategy,
                        period=args.period,
                        onlylong=args.onlylong,
                        csvcross=args.csvcross,
                        stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.comm,
                                 mult=args.mult,
                                 margin=args.margin)

    tframes = dict(
        days=bt.TimeFrame.Days,
        weeks=bt.TimeFrame.Weeks,
        months=bt.TimeFrame.Months,
        years=bt.TimeFrame.Years)

    # Add the Analyzers
    cerebro.addanalyzer(SQN)
    if args.legacyannual:
        cerebro.addanalyzer(AnnualReturn)
        cerebro.addanalyzer(SharpeRatio, legacyannual=True)
    else:
        cerebro.addanalyzer(TimeReturn, timeframe=tframes[args.tframe])
        cerebro.addanalyzer(SharpeRatio, timeframe=tframes[args.tframe])

    cerebro.addanalyzer(TradeAnalyzer)

    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)

    # And run it
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='TimeReturn')

    parser.add_argument('--data', '-d',
                        default='../../datas/2005-2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--onlylong', '-ol', action='store_true',
                        help='Do only long operations')

    parser.add_argument('--writercsv', '-wcsv', action='store_true',
                        help='Tell the writer to produce a csv stream')

    parser.add_argument('--csvcross', action='store_true',
                        help='Output the CrossOver signals to CSV')

    group = parser.add_mutually_exclusive_group()
    group.add_argument('--tframe', default='years', required=False,
                       choices=['days', 'weeks', 'months', 'years'],
                       help='TimeFrame for the returns/Sharpe calculations')

    group.add_argument('--legacyannual', action='store_true',
                       help='Use legacy annual return analyzer')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--comm', default=2, type=float,
                        help='Commission for operation')

    parser.add_argument('--mult', default=10, type=int,
                        help='Multiplier for futures')

    parser.add_argument('--margin', default=2000.0, type=float,
                        help='Margin for each future')

    parser.add_argument('--stake', default=1, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/bidask-to-ohlc/bidask-to-ohlc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,)
#                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.feeds as btfeeds


class St(bt.Strategy):
    def next(self):
        print(','.join(str(x) for x in [
            self.data.datetime.datetime(),
            self.data.open[0], self.data.high[0],
            self.data.high[0], self.data.close[0],
            self.data.volume[0]]))


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()

    data = btfeeds.GenericCSVData(
        dataname=args.data,
        dtformat='%d/%m/%y',
        # tmformat='%H%M%S',  # already the default value
        # datetime=0,  # position at default
        time=1,  # position of time
        open=5,  # position of open
        high=5,
        low=5,
        close=5,
        volume=7,
        openinterest=-1,  # -1 for not present
        timeframe=bt.TimeFrame.Ticks)

    cerebro.resampledata(data,
                         timeframe=bt.TimeFrame.Ticks,
                         compression=args.compression)

    cerebro.addstrategy(St)

    cerebro.run()
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='BidAsk to OHLC')

    parser.add_argument('--data', required=False,
                        default='../../datas/bidask2.csv',
                        help='Data file to be read in')

    parser.add_argument('--compression', required=False, default=2, type=int,
                        help='How much to compress the bars')

    parser.add_argument('--plot', required=False, action='store_true',
                        help='Plot the vars')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/bracket/bracket.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        ma=bt.ind.SMA,
        p1=5,
        p2=15,
        limit=0.005,
        limdays=3,
        limdays2=1000,
        hold=10,
        usebracket=False,  # use order_target_size
        switchp1p2=False,  # switch prices of order1 and order2
    )

    def notify_order(self, order):
        print('{}: Order ref: {} / Type {} / Status {}'.format(
            self.data.datetime.date(0),
            order.ref, 'Buy' * order.isbuy() or 'Sell',
            order.getstatusname()))

        if order.status == order.Completed:
            self.holdstart = len(self)

        if not order.alive() and order.ref in self.orefs:
            self.orefs.remove(order.ref)

    def __init__(self):
        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)
        self.cross = bt.ind.CrossOver(ma1, ma2)

        self.orefs = list()

        if self.p.usebracket:
            print('-' * 5, 'Using buy_bracket')

    def next(self):
        if self.orefs:
            return  # pending orders do nothing

        if not self.position:
            if self.cross > 0.0:  # crossing up

                close = self.data.close[0]
                p1 = close * (1.0 - self.p.limit)
                p2 = p1 - 0.02 * close
                p3 = p1 + 0.02 * close

                valid1 = datetime.timedelta(self.p.limdays)
                valid2 = valid3 = datetime.timedelta(self.p.limdays2)

                if self.p.switchp1p2:
                    p1, p2 = p2, p1
                    valid1, valid2 = valid2, valid1

                if not self.p.usebracket:
                    o1 = self.buy(exectype=bt.Order.Limit,
                                  price=p1,
                                  valid=valid1,
                                  transmit=False)

                    print('{}: Oref {} / Buy at {}'.format(
                        self.datetime.date(), o1.ref, p1))

                    o2 = self.sell(exectype=bt.Order.Stop,
                                   price=p2,
                                   valid=valid2,
                                   parent=o1,
                                   transmit=False)

                    print('{}: Oref {} / Sell Stop at {}'.format(
                        self.datetime.date(), o2.ref, p2))

                    o3 = self.sell(exectype=bt.Order.Limit,
                                   price=p3,
                                   valid=valid3,
                                   parent=o1,
                                   transmit=True)

                    print('{}: Oref {} / Sell Limit at {}'.format(
                        self.datetime.date(), o3.ref, p3))

                    self.orefs = [o1.ref, o2.ref, o3.ref]

                else:
                    os = self.buy_bracket(
                        price=p1, valid=valid1,
                        stopprice=p2, stopargs=dict(valid=valid2),
                        limitprice=p3, limitargs=dict(valid=valid3),)

                    self.orefs = [o.ref for o in os]

        else:  # in the market
            if (len(self) - self.holdstart) >= self.p.hold:
                pass  # do nothing in this case


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/btfd/btfd.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# References:
#  - https://www.reddit.com/r/algotrading/comments/5jez2b/can_anyone_replicate_this_strategy/
#  - http://dark-bid.com/BTFD-only-strategy-that-matters.html

import argparse
import datetime

import backtrader as bt


class ValueUnlever(bt.observers.Value):
    '''Extension of regular Value observer to add leveraged view'''
    lines = ('value_lever', 'asset')
    params = (('assetstart', 100000.0), ('lever', True),)

    def next(self):
        super(ValueUnlever, self).next()
        if self.p.lever:
            self.lines.value_lever[0] = self._owner.broker._valuelever

        if len(self) == 1:
            self.lines.asset[0] = self.p.assetstart
        else:
            change = self.data[0] / self.data[-1]
            self.lines.asset[0] = change * self.lines.asset[-1]


class St(bt.Strategy):
    params = (
        ('fall', -0.01),
        ('hold', 2),
        ('approach', 'highlow'),
        ('target', 1.0),
        ('prorder', False),
        ('prtrade', False),
        ('prdata', False),
    )

    def __init__(self):
        if self.p.approach == 'closeclose':
            self.pctdown = self.data.close / self.data.close(-1) - 1.0
        elif self.p.approach == 'openclose':
            self.pctdown = self.data.close / self.data.open - 1.0
        elif self.p.approach == 'highclose':
            self.pctdown = self.data.close / self.data.high - 1.0
        elif self.p.approach == 'highlow':
            self.pctdown = self.data.low / self.data.high - 1.0

    def next(self):
        if self.position:
            if len(self) == self.barexit:
                self.close()
                if self.p.prdata:
                    print(','.join(str(x) for x in
                                   ['DATA', 'CLOSE',
                                    self.data.datetime.date().isoformat(),
                                    self.data.close[0],
                                    float('NaN')]))
        else:
            if self.pctdown <= self.p.fall:
                self.order_target_percent(target=self.p.target)
                self.barexit = len(self) + self.p.hold

                if self.p.prdata:
                    print(','.join(str(x) for x in
                                   ['DATA', 'OPEN',
                                    self.data.datetime.date().isoformat(),
                                    self.data.close[0],
                                    self.pctdown[0]]))

    def start(self):
        if self.p.prtrade:
            print(','.join(
                ['TRADE', 'Status', 'Date', 'Value', 'PnL', 'Commission']))
        if self.p.prorder:
            print(','.join(
                ['ORDER', 'Type', 'Date', 'Price', 'Size', 'Commission']))
        if self.p.prdata:
            print(','.join(['DATA', 'Action', 'Date', 'Price', 'PctDown']))

    def notify_order(self, order):
        if order.status in [order.Margin, order.Rejected, order.Canceled]:
            print('ORDER FAILED with status:', order.getstatusname())
        elif order.status == order.Completed:
            if self.p.prorder:
                print(','.join(map(str, [
                    'ORDER', 'BUY' * order.isbuy() or 'SELL',
                    self.data.num2date(order.executed.dt).date().isoformat(),
                    order.executed.price,
                    order.executed.size,
                    order.executed.comm,
                ]
                )))

    def notify_trade(self, trade):
        if not self.p.prtrade:
            return

        if trade.isclosed:
            print(','.join(map(str, [
                'TRADE', 'CLOSE',
                self.data.num2date(trade.dtclose).date().isoformat(),
                trade.value,
                trade.pnl,
                trade.commission,
            ]
            )))
        elif trade.justopened:
            print(','.join(map(str, [
                'TRADE', 'OPEN',
                self.data.num2date(trade.dtopen).date().isoformat(),
                trade.value,
                trade.pnl,
                trade.commission,
            ]
            )))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        kwargs[d] = datetime.datetime.strptime(a, dtfmt + tmfmt * ('T' in a))

    if not args.offline:
        YahooData = bt.feeds.YahooFinanceData
    else:
        YahooData = bt.feeds.YahooFinanceCSVData

    # Data feed - no plot - observer will do the job
    data = YahooData(dataname=args.data, plot=False, **kwargs)
    cerebro.adddata(data)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Add a commission
    cerebro.broker.setcommission(**eval('dict(' + args.comminfo + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Add specific observer
    cerebro.addobserver(ValueUnlever, **eval('dict(' + args.valobserver + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(' - '.join([
            'BTFD',
            'http://dark-bid.com/BTFD-only-strategy-that-matters.html',
            ('https://www.reddit.com/r/algotrading/comments/5jez2b/'
             'can_anyone_replicate_this_strategy/')]))
        )

    parser.add_argument('--offline', required=False, action='store_true',
                        help='Use offline file with ticker name')

    parser.add_argument('--data', required=False, default='^GSPC',
                        metavar='TICKER', help='Yahoo ticker to download')

    parser.add_argument('--fromdate', required=False, default='1990-01-01',
                        metavar='YYYY-MM-DD[THH:MM:SS]',
                        help='Starting date[time]')

    parser.add_argument('--todate', required=False, default='2016-10-01',
                        metavar='YYYY-MM-DD[THH:MM:SS]',
                        help='Ending date[time]')

    parser.add_argument('--cerebro', required=False, default='stdstats=False',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False,
                        default='cash=100000.0, coc=True',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--valobserver', required=False,
                        default='assetstart=100000.0',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False,
                        default='approach="highlow"',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--comminfo', required=False, default='leverage=2.0',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='volume=False',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/calendar-days/calendar-days.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.indicators as btind
import backtrader.feeds as btfeeds
import backtrader.filters as btfilters


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(bt.Strategy)

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    if args.calendar:
        if args.fprice is not None:
            args.fprice = float(args.fprice)

        data.addfilter(
            btfilters.CalendarDays,
            fill_price=args.fprice,
            fill_vol=args.fvol)

    # Add the resample data instead of the original
    cerebro.adddata(data)

    # Add a simple moving average if requirested
    if args.sma:
        cerebro.addindicator(btind.SMA, period=args.period)

    # Add a writer with CSV
    if args.writer:
        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)

    # Run over everything
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(style='bar', numfigs=args.numfigs, volume=False)


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Calendar Days Filter Sample')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--calendar', '-cal', required=False,
                        action='store_true',
                        help='Add a CalendarDays filter')

    parser.add_argument('--fprice', required=False, default=None,
                        help='Use as fill for price (None for previous close)')

    parser.add_argument('--fvol', required=False, default=0.0,
                        type=float,
                        help='Use as fill volume for missing bar (def: 0.0)')

    parser.add_argument('--sma', required=False,
                        action='store_true',
                        help='Add a Simple Moving Average')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--writer', '-w', action='store_true',
                        help='Add a writer to cerebro')

    parser.add_argument('--wrcsv', '-wc', action='store_true',
                        help='Enable CSV Output in the writer')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/calmar/calmar-test.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.SignalStrategy):
    params = (
    )

    def __init__(self):
        ma1, ma2, = bt.ind.SMA(period=15), bt.ind.SMA(period=50)
        self.signal_add(bt.signal.SIGNAL_LONG, bt.ind.CrossOver(ma1, ma2))

    def next2(self):
        pass


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    cerebro.addanalyzer(bt.analyzers.Calmar)
    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    st0 = cerebro.run(**eval('dict(' + args.cerebro + ')'))[0]
    i = 1
    for k, v in st0.analyzers.calmar.get_analysis().items():
        print(i, ': '.join((str(k), str(v))))
        i += 1

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/orcl-1995-2014.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/cheat-on-open/cheat-on-open.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        periods=[10, 30],
        matype=bt.ind.SMA,
    )

    def __init__(self):
        self.cheating = self.cerebro.p.cheat_on_open
        mas = [self.p.matype(period=x) for x in self.p.periods]
        self.signal = bt.ind.CrossOver(*mas)
        self.order = None

    def notify_order(self, order):
        if order.status != order.Completed:
            return

        self.order = None
        print('{} {} Executed at price {}'.format(
            bt.num2date(order.executed.dt).date(),
            'Buy' * order.isbuy() or 'Sell', order.executed.price)
        )

    def operate(self, fromopen):
        if self.order is not None:
            return
        if self.position:
            if self.signal < 0:
                self.order = self.close()
        elif self.signal > 0:
            print('{} Send Buy, fromopen {}, close {}'.format(
                self.data.datetime.date(),
                fromopen, self.data.close[0])
            )
            self.order = self.buy()

    def next(self):
        print('{} next, open {} close {}'.format(
            self.data.datetime.date(),
            self.data.open[0], self.data.close[0])
        )

        if self.cheating:
            return
        self.operate(fromopen=False)

    def next_open(self):
        if not self.cheating:
            return
        self.operate(fromopen=True)


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Cheat-On-Open Sample'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/commission-schemes/commission-schemes.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class SMACrossOver(bt.Strategy):
    params = (
        ('stake', 1),
        ('period', 30),
    )

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.datas[0].datetime.date(0)
        print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            return

        # Check if an order has been completed
        # Attention: broker could reject order if not enougth cash
        if order.status in [order.Completed, order.Canceled, order.Margin]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                    (order.executed.price,
                     order.executed.value,
                     order.executed.comm))
            else:  # Sell
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price,
                          order.executed.value,
                          order.executed.comm))

    def notify_trade(self, trade):
        if trade.isclosed:
            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %
                     (trade.pnl, trade.pnlcomm))

    def __init__(self):
        sma = btind.SMA(self.data, period=self.p.period)
        # > 0 crossing up / < 0 crossing down
        self.buysell_sig = btind.CrossOver(self.data, sma)

    def next(self):
        if self.buysell_sig > 0:
            self.log('BUY CREATE, %.2f' % self.data.close[0])
            self.buy(size=self.p.stake)  # keep order ref to avoid 2nd orders

        elif self.position and self.buysell_sig < 0:
            self.log('SELL CREATE, %.2f' % self.data.close[0])
            self.sell(size=self.p.stake)


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add a strategy
    cerebro.addstrategy(SMACrossOver, period=args.period, stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    commtypes = dict(
        none=None,
        perc=bt.CommInfoBase.COMM_PERC,
        fixed=bt.CommInfoBase.COMM_FIXED)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.comm,
                                 mult=args.mult,
                                 margin=args.margin,
                                 percabs=not args.percrel,
                                 commtype=commtypes[args.commtype],
                                 stocklike=args.stocklike)

    # And run it
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False)


def parse_args():
    parser = argparse.ArgumentParser(
        description='Commission schemes',
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,)

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--stake', default=1, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--period', default=30, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--cash', default=10000.0, type=float,
                        help='Starting Cash')

    parser.add_argument('--comm', default=2.0, type=float,
                        help=('Commission factor for operation, either a'
                              'percentage or a per stake unit absolute value'))

    parser.add_argument('--mult', default=10, type=int,
                        help='Multiplier for operations calculation')

    parser.add_argument('--margin', default=2000.0, type=float,
                        help='Margin for futures-like operations')

    parser.add_argument('--commtype', required=False, default='none',
                        choices=['none', 'perc', 'fixed'],
                        help=('Commission - choose none for the old'
                              ' CommissionInfo behavior'))

    parser.add_argument('--stocklike', required=False, action='store_true',
                        help=('If the operation is for stock-like assets or'
                              'future-like assets'))

    parser.add_argument('--percrel', required=False, action='store_true',
                        help=('If perc is expressed in relative xx% rather'
                              'than absolute value 0.xx'))

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/credit-interest/credit-interest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import collections
import datetime
import itertools

import backtrader as bt


class SMACrossOver(bt.Signal):
    params = (('p1', 10), ('p2', 30),)

    def __init__(self):
        sma1 = bt.indicators.SMA(period=self.p.p1)
        sma2 = bt.indicators.SMA(period=self.p.p2)
        self.lines.signal = bt.indicators.CrossOver(sma1, sma2)


class NoExit(bt.Signal):
    def next(self):
        self.lines.signal[0] = 0.0


class St(bt.SignalStrategy):
    opcounter = itertools.count(1)

    def notify_order(self, order):
        if order.status == bt.Order.Completed:
            t = ''
            t += '{:02d}'.format(next(self.opcounter))
            t += ' {}'.format(order.data.datetime.datetime())
            t += ' BUY ' * order.isbuy() or ' SELL'
            t += ' Size: {:+d} / Price: {:.2f}'
            print(t.format(order.executed.size, order.executed.price))

    def notify_trade(self, trade):
        if trade.isclosed:
            print('Trade closed with P&L: Gross {} Net {}'.format(
                trade.pnl, trade.pnlcomm))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)
    cerebro.broker.set_int2pnl(args.no_int2pnl)

    dkwargs = dict()
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # if dataset is None, args.data has been given
    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)

    cerebro.signal_strategy(St)
    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)

    sigtype = bt.signal.SIGNAL_LONGSHORT
    if args.long:
        sigtype = bt.signal.SIGNAL_LONG
    elif args.short:
        sigtype = bt.signal.SIGNAL_SHORT

    cerebro.add_signal(sigtype,
                       SMACrossOver, p1=args.period1, p2=args.period2)

    if args.no_exit:
        if args.long:
            cerebro.add_signal(bt.signal.SIGNAL_LONGEXIT, NoExit)
        elif args.short:
            cerebro.add_signal(bt.signal.SIGNAL_SHORTEXIT, NoExit)

    comminfo = bt.CommissionInfo(
        mult=args.mult,
        margin=args.margin,
        stocklike=args.stocklike,
        interest=args.interest,
        interest_long=args.interest_long)

    cerebro.broker.addcommissioninfo(comminfo)

    cerebro.run()
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Slippage')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Specific data to be read in')

    parser.add_argument('--fromdate', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--period1', required=False, action='store',
                        type=int, default=10,
                        help=('Fast moving average period'))

    parser.add_argument('--period2', required=False, action='store',
                        type=int, default=30,
                        help=('Slow moving average period'))

    parser.add_argument('--interest', required=False, action='store',
                        default=0.0, type=float,
                        help=('Activate credit interest rate'))

    parser.add_argument('--no-int2pnl', required=False, action='store_false',
                        help=('Do not assign interest to pnl'))

    parser.add_argument('--interest_long', required=False, action='store_true',
                        help=('Credit interest rate for long positions'))

    pgroup = parser.add_mutually_exclusive_group()
    pgroup.add_argument('--long', required=False, action='store_true',
                        help=('Do a long only strategy'))

    pgroup.add_argument('--short', required=False, action='store_true',
                        help=('Do a long only strategy'))

    parser.add_argument('--no-exit', required=False, action='store_true',
                        help=('The 1st taken position will not be exited'))

    parser.add_argument('--stocklike', required=False, action='store_true',
                        help=('Consider the asset to be stocklike'))

    parser.add_argument('--margin', required=False, action='store',
                        default=0.0, type=float,
                        help=('Margin for future like instruments'))

    parser.add_argument('--mult', required=False, action='store',
                        default=1.0, type=float,
                        help=('Multiplier for future like instruments'))

    parser.add_argument('--stake', required=False, action='store',
                        default=10, type=int,
                        help=('Stake to apply'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/data-bid-ask/bidask.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class BidAskCSV(btfeeds.GenericCSVData):
    linesoverride = True  # discard usual OHLC structure
    # datetime must be present and last
    lines = ('bid', 'ask', 'datetime')
    # datetime (always 1st) and then the desired order for
    params = (
        # (datetime, 0), # inherited from parent class
        ('bid', 1),  # default field pos 1
        ('ask', 2),  # default field pos 2
    )


class St(bt.Strategy):
    params = (('sma', False), ('period', 3))

    def __init__(self):
        if self.p.sma:
            self.sma = btind.SMA(self.data, period=self.p.period)

    def next(self):
        dtstr = self.data.datetime.datetime().isoformat()
        txt = '%4d: %s - Bid %.4f - %.4f Ask' % (
            (len(self), dtstr, self.data.bid[0], self.data.ask[0]))

        if self.p.sma:
            txt += ' - SMA: %.4f' % self.sma[0]
        print(txt)


def parse_args():
    parser = argparse.ArgumentParser(
        description='Bid/Ask Line Hierarchy',
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
    )

    parser.add_argument('--data', '-d', action='store',
                        required=False, default='../../datas/bidask.csv',
                        help='data to add to the system')

    parser.add_argument('--dtformat', '-dt',
                        required=False, default='%m/%d/%Y %H:%M:%S',
                        help='Format of datetime in input')

    parser.add_argument('--sma', '-s', action='store_true',
                        required=False,
                        help='Add an SMA to the mix')

    parser.add_argument('--period', '-p', action='store',
                        required=False, default=5, type=int,
                        help='Period for the sma')

    return parser.parse_args()


def runstrategy():
    args = parse_args()

    cerebro = bt.Cerebro()  # Create a cerebro

    data = BidAskCSV(dataname=args.data, dtformat=args.dtformat)
    cerebro.adddata(data)  # Add the 1st data to cerebro
    # Add the strategy to cerebro
    cerebro.addstrategy(St, sma=args.sma, period=args.period)
    cerebro.run()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/data-filler/data-filler.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import math

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.utils.flushfile
import backtrader.filters as btfilters

from relativevolume import RelativeVolume


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Get the session times to pass them to the indicator
    # datetime.time has no strptime ...
    dtstart = datetime.datetime.strptime(args.tstart, '%H:%M')
    dtend = datetime.datetime.strptime(args.tend, '%H:%M')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate,
        timeframe=bt.TimeFrame.Minutes,
        compression=1,
        sessionstart=dtstart,  # internally just the "time" part will be used
        sessionend=dtend,  # internally just the "time" part will be used
    )

    if args.filter:
        data.addfilter(btfilters.SessionFilter)

    if args.filler:
        data.addfilter(btfilters.SessionFiller, fill_vol=args.fvol)

    # Add the data to cerebro
    cerebro.adddata(data)

    if args.relvol:
        # Calculate backward period - tend tstart are in same day
        # + 1 to include last moment of the interval dstart <-> dtend
        td = ((dtend - dtstart).seconds // 60) + 1
        cerebro.addindicator(RelativeVolume,
                             period=td,
                             volisnan=math.isnan(args.fvol))

    # Add an empty strategy
    cerebro.addstrategy(bt.Strategy)

    # Add a writer with CSV
    if args.writer:
        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)

    # And run it - no trading - disable stdstats
    cerebro.run(stdstats=False)

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=True)


def parse_args():
    parser = argparse.ArgumentParser(
        description='DataFilter/DataFiller Sample')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-01-02-volume-min-001.txt',
                        help='data to add to the system')

    parser.add_argument('--filter', '-ft', action='store_true',
                        help='Filter using session start/end times')

    parser.add_argument('--filler', '-fl', action='store_true',
                        help='Fill missing bars inside start/end times')

    parser.add_argument('--fvol', required=False, default=0.0,
                        type=float,
                        help='Use as fill volume for missing bar (def: 0.0)')

    parser.add_argument('--tstart', '-ts',
                        # default='09:14:59',
                        # help='Start time for the Session Filter (%H:%M:%S)')
                        default='09:15',
                        help='Start time for the Session Filter (HH:MM)')

    parser.add_argument('--tend', '-te',
                        # default='17:15:59',
                        # help='End time for the Session Filter (%H:%M:%S)')
                        default='17:15',
                        help='End time for the Session Filter (HH:MM)')

    parser.add_argument('--relvol', '-rv', action='store_true',
                        help='Add relative volume indicator')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--writer', '-w', action='store_true',
                        help='Add a writer to cerebro')

    parser.add_argument('--wrcsv', '-wc', action='store_true',
                        help='Enable CSV Output in the writer')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/data-filler/relativevolume.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
import backtrader.indicators as btind


class RelativeVolume(bt.Indicator):
    csv = True  # show up in csv output (default for indicators is False)

    lines = ('relvol',)
    params = (
        ('period', 20),
        ('volisnan', True),
    )

    def __init__(self):
        if self.p.volisnan:
            # if missing volume will be NaN, do a simple division
            # the end result for missing volumes will also be NaN
            relvol = self.data.volume(-self.p.period) / self.data.volume
        else:
            # Else do a controlled Div with a built-in function
            relvol = bt.DivByZero(
                self.data.volume(-self.p.period),
                self.data.volume,
                zero=0.0)

        self.lines.relvol = relvol


================================================
FILE: samples/data-multitimeframe/data-multitimeframe.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
from backtrader import ResamplerDaily, ResamplerWeekly, ResamplerMonthly
from backtrader import ReplayerDaily, ReplayerWeekly, ReplayerMonthly
from backtrader.utils import flushfile


class SMAStrategy(bt.Strategy):
    params = (
        ('period', 10),
        ('onlydaily', False),
    )

    def __init__(self):
        self.sma_small_tf = btind.SMA(self.data, period=self.p.period)
        bt.indicators.MACD(self.data0)

        if not self.p.onlydaily:
            self.sma_large_tf = btind.SMA(self.data1, period=self.p.period)
            bt.indicators.MACD(self.data1)

    def prenext(self):
        self.next()

    def nextstart(self):
        print('--------------------------------------------------')
        print('nextstart called with len', len(self))
        print('--------------------------------------------------')

        super(SMAStrategy, self).nextstart()

    def next(self):
        print('Strategy:', len(self))

        txt = list()
        txt.append('Data0')
        txt.append('%04d' % len(self.data0))
        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
        txt.append('{:f}'.format(self.data.datetime[0]))
        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))
        # txt.append('{:f}'.format(self.data.open[0]))
        # txt.append('{:f}'.format(self.data.high[0]))
        # txt.append('{:f}'.format(self.data.low[0]))
        txt.append('{:f}'.format(self.data.close[0]))
        # txt.append('{:6d}'.format(int(self.data.volume[0])))
        # txt.append('{:d}'.format(int(self.data.openinterest[0])))
        # txt.append('{:f}'.format(self.sma_small[0]))
        print(', '.join(txt))

        if len(self.datas) > 1 and len(self.data1):
            txt = list()
            txt.append('Data1')
            txt.append('%04d' % len(self.data1))
            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
            txt.append('{:f}'.format(self.data1.datetime[0]))
            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))
            # txt.append('{}'.format(self.data1.open[0]))
            # txt.append('{}'.format(self.data1.high[0]))
            # txt.append('{}'.format(self.data1.low[0]))
            txt.append('{}'.format(self.data1.close[0]))
            # txt.append('{}'.format(self.data1.volume[0]))
            # txt.append('{}'.format(self.data1.openinterest[0]))
            # txt.append('{}'.format(float('NaN')))
            print(', '.join(txt))


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro()

    # Add a strategy
    if not args.indicators:
        cerebro.addstrategy(bt.Strategy)
    else:
        cerebro.addstrategy(
            SMAStrategy,

            # args for the strategy
            period=args.period,
            onlydaily=args.onlydaily,
        )

    # Load the Data
    datapath = args.dataname or '../../datas/2006-day-001.txt'
    data = btfeeds.BacktraderCSVData(
        dataname=datapath)

    tframes = dict(
        daily=bt.TimeFrame.Days,
        weekly=bt.TimeFrame.Weeks,
        monthly=bt.TimeFrame.Months)

    # Handy dictionary for the argument timeframe conversion
    # Resample the data
    if args.noresample:
        datapath = args.dataname2 or '../../datas/2006-week-001.txt'
        data2 = btfeeds.BacktraderCSVData(
            dataname=datapath)
    else:
        if args.oldrs:
            if args.replay:
                data2 = bt.DataReplayer(
                    dataname=data,
                    timeframe=tframes[args.timeframe],
                    compression=args.compression)
            else:
                data2 = bt.DataResampler(
                    dataname=data,
                    timeframe=tframes[args.timeframe],
                    compression=args.compression)

        else:
            data2 = bt.DataClone(dataname=data)
            if args.replay:
                if args.timeframe == 'daily':
                    data2.addfilter(ReplayerDaily)
                elif args.timeframe == 'weekly':
                    data2.addfilter(ReplayerWeekly)
                elif args.timeframe == 'monthly':
                    data2.addfilter(ReplayerMonthly)
            else:
                if args.timeframe == 'daily':
                    data2.addfilter(ResamplerDaily)
                elif args.timeframe == 'weekly':
                    data2.addfilter(ResamplerWeekly)
                elif args.timeframe == 'monthly':
                    data2.addfilter(ResamplerMonthly)

    # First add the original data - smaller timeframe
    cerebro.adddata(data)

    # And then the large timeframe
    cerebro.adddata(data2)

    # Run over everything
    cerebro.run(runonce=not args.runnext,
                preload=not args.nopreload,
                oldsync=args.oldsync,
                stdstats=False)

    # Plot the result
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Pandas test script')

    parser.add_argument('--dataname', default='', required=False,
                        help='File Data to Load')

    parser.add_argument('--dataname2', default='', required=False,
                        help='Larger timeframe file to load')

    parser.add_argument('--runnext', action='store_true',
                        help='Use next by next instead of runonce')

    parser.add_argument('--nopreload', action='store_true',
                        help='Do not preload the data')

    parser.add_argument('--oldsync', action='store_true',
                        help='Use old data synchronization method')

    parser.add_argument('--oldrs', action='store_true',
                        help='Use old resampler')

    parser.add_argument('--replay', action='store_true',
                        help='Replay instead of resample')

    parser.add_argument('--noresample', action='store_true',
                        help='Do not resample, rather load larger timeframe')

    parser.add_argument('--timeframe', default='weekly', required=False,
                        choices=['daily', 'weekly', 'monthly'],
                        help='Timeframe to resample to')

    parser.add_argument('--compression', default=1, required=False, type=int,
                        help='Compress n bars into 1')

    parser.add_argument('--indicators', action='store_true',
                        help='Wether to apply Strategy with indicators')

    parser.add_argument('--onlydaily', action='store_true',
                        help='Indicator only to be applied to daily timeframe')

    parser.add_argument('--period', default=10, required=False, type=int,
                        help='Period to apply to indicator')

    parser.add_argument('--plot', required=False, action='store_true',
                        help='Plot the chart')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/data-pandas/data-pandas-optix.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds

import pandas


class PandasDataOptix(btfeeds.PandasData):

    lines = ('optix_close', 'optix_pess', 'optix_opt',)
    params = (('optix_close', -1),
              ('optix_pess', -1),
              ('optix_opt', -1))

    if False:
        # No longer needed with version 1.9.62.122
        datafields = btfeeds.PandasData.datafields + (
            ['optix_close', 'optix_pess', 'optix_opt'])


class StrategyOptix(bt.Strategy):

    def next(self):
        print('%03d %f %f, %f' % (
            len(self),
            self.data.optix_close[0],
            self.data.lines.optix_pess[0],
            self.data.optix_opt[0],))


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(StrategyOptix)

    # Get a pandas dataframe
    datapath = ('../../datas/2006-day-001-optix.txt')

    # Simulate the header row isn't there if noheaders requested
    skiprows = 1 if args.noheaders else 0
    header = None if args.noheaders else 0

    dataframe = pandas.read_csv(datapath,
                                skiprows=skiprows,
                                header=header,
                                parse_dates=True,
                                index_col=0)

    if not args.noprint:
        print('--------------------------------------------------')
        print(dataframe)
        print('--------------------------------------------------')

    # Pass it to the backtrader datafeed and add it to the cerebro
    data = PandasDataOptix(dataname=dataframe)

    cerebro.adddata(data)

    # Run over everything
    cerebro.run()

    # Plot the result
    if not args.noplot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Pandas test script')

    parser.add_argument('--noheaders', action='store_true', default=False,
                        required=False,
                        help='Do not use header rows')

    parser.add_argument('--noprint', action='store_true', default=False,
                        help='Print the dataframe')

    parser.add_argument('--noplot', action='store_true', default=False,
                        help='Do not plot the chart')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/data-pandas/data-pandas.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds

import pandas


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(bt.Strategy)

    # Get a pandas dataframe
    datapath = ('../../datas/2006-day-001.txt')

    # Simulate the header row isn't there if noheaders requested
    skiprows = 1 if args.noheaders else 0
    header = None if args.noheaders else 0

    dataframe = pandas.read_csv(
        datapath,
        skiprows=skiprows,
        header=header,
        # parse_dates=[0],
        parse_dates=True,
        index_col=0,
    )

    if not args.noprint:
        print('--------------------------------------------------')
        print(dataframe)
        print('--------------------------------------------------')

    # Pass it to the backtrader datafeed and add it to the cerebro
    data = bt.feeds.PandasData(dataname=dataframe,
                               # datetime='Date',
                               nocase=True,
                               )

    cerebro.adddata(data)

    # Run over everything
    cerebro.run()

    # Plot the result
    cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Pandas test script')

    parser.add_argument('--noheaders', action='store_true', default=False,
                        required=False,
                        help='Do not use header rows')

    parser.add_argument('--noprint', action='store_true', default=False,
                        help='Print the dataframe')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/data-replay/data-replay.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class SMAStrategy(bt.Strategy):
    params = (
        ('period', 10),
        ('onlydaily', False),
    )

    def __init__(self):
        self.sma = btind.SMA(self.data, period=self.p.period)

    def start(self):
        self.counter = 0

    def prenext(self):
        self.counter += 1
        print('prenext len %d - counter %d' % (len(self), self.counter))

    def next(self):
        self.counter += 1
        print('---next len %d - counter %d' % (len(self), self.counter))


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    cerebro.addstrategy(
        SMAStrategy,
        # args for the strategy
        period=args.period,
    )

    # Load the Data
    datapath = args.dataname or '../../datas//2006-day-001.txt'
    data = btfeeds.BacktraderCSVData(
        dataname=datapath)

    tframes = dict(
        daily=bt.TimeFrame.Days,
        weekly=bt.TimeFrame.Weeks,
        monthly=bt.TimeFrame.Months)

    # Handy dictionary for the argument timeframe conversion
    # Resample the data
    if args.oldrp:
        data = bt.DataReplayer(
            dataname=data,
            timeframe=tframes[args.timeframe],
            compression=args.compression)
    else:
        data.replay(
            timeframe=tframes[args.timeframe],
            compression=args.compression)

    # First add the original data - smaller timeframe
    cerebro.adddata(data)

    # Run over everything
    cerebro.run(preload=False)

    # Plot the result
    cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Pandas test script')

    parser.add_argument('--dataname', default='', required=False,
                        help='File Data to Load')

    parser.add_argument('--oldrp', required=False, action='store_true',
                        help='Use deprecated DataReplayer')

    parser.add_argument('--timeframe', default='weekly', required=False,
                        choices=['daily', 'weekly', 'monthly'],
                        help='Timeframe to resample to')

    parser.add_argument('--compression', default=1, required=False, type=int,
                        help='Compress n bars into 1')

    parser.add_argument('--period', default=10, required=False, type=int,
                        help='Period to apply to indicator')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/data-resample/data-resample.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(bt.Strategy)

    # Load the Data
    datapath = args.dataname or '../../datas/2006-day-001.txt'
    data = btfeeds.BacktraderCSVData(
        dataname=datapath)

    # Handy dictionary for the argument timeframe conversion
    tframes = dict(
        daily=bt.TimeFrame.Days,
        weekly=bt.TimeFrame.Weeks,
        monthly=bt.TimeFrame.Months)

    # Resample the data
    if args.oldrs:
        # Old resampler, fully deprecated
        data = bt.DataResampler(
            dataname=data,
            timeframe=tframes[args.timeframe],
            compression=args.compression)

        # Add the resample data instead of the original
        cerebro.adddata(data)
    else:
        # New resampler
        cerebro.resampledata(
            data,
            timeframe=tframes[args.timeframe],
            compression=args.compression)

    # Run over everything
    cerebro.run()

    # Plot the result
    cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Resample down to minutes')

    parser.add_argument('--dataname', default='', required=False,
                        help='File Data to Load')

    parser.add_argument('--oldrs', required=False, action='store_true',
                        help='Use deprecated DataResampler')

    parser.add_argument('--timeframe', default='weekly', required=False,
                        choices=['daily', 'weekly', 'monthly'],
                        help='Timeframe to resample to')

    parser.add_argument('--compression', default=1, required=False, type=int,
                        help='Compress n bars into 1')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/daysteps/daysteps.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt


class St(bt.Strategy):
    params = ()

    def __init__(self):
        pass

    def start(self):
        self.callcounter = 0
        txtfields = list()
        txtfields.append('Calls')
        txtfields.append('Len Strat')
        txtfields.append('Len Data')
        txtfields.append('Datetime')
        txtfields.append('Open')
        txtfields.append('High')
        txtfields.append('Low')
        txtfields.append('Close')
        txtfields.append('Volume')
        txtfields.append('OpenInterest')
        print(','.join(txtfields))

        self.lcontrol = 0

    def next(self):
        self.callcounter += 1

        txtfields = list()
        txtfields.append('%04d' % self.callcounter)
        txtfields.append('%04d' % len(self))
        txtfields.append('%04d' % len(self.data0))
        txtfields.append(self.data.datetime.datetime(0).isoformat())
        txtfields.append('%.2f' % self.data0.open[0])
        txtfields.append('%.2f' % self.data0.high[0])
        txtfields.append('%.2f' % self.data0.low[0])
        txtfields.append('%.2f' % self.data0.close[0])
        txtfields.append('%.2f' % self.data0.volume[0])
        txtfields.append('%.2f' % self.data0.openinterest[0])
        print(','.join(txtfields))

        if len(self.data) > self.lcontrol:
            print('- I could issue a buy order during the Opening')

        self.lcontrol = len(self.data)


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    data = bt.feeds.BacktraderCSVData(dataname=args.data)

    data.addfilter(bt.filters.DayStepsFilter)
    cerebro.adddata(data)

    cerebro.addstrategy(St)

    cerebro._doreplay = True
    cerebro.run(**(eval('dict(' + args.cerebro + ')')))
    if args.plot:
        cerebro.plot(**(eval('dict(' + args.plot + ')')))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pivot point and cross plotting')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Data to be read in')

    parser.add_argument('--cerebro', required=False, action='store',
                        default='', help=('Arguments for cerebro'))

    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const='{}',
                        help=('Plot (with additional args if passed'))

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/future-spot/future-spot.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import random
import backtrader as bt


# The filter which changes the close price
def close_changer(data, *args, **kwargs):
    data.close[0] += 50.0 * random.randint(-1, 1)
    return False  # length of stream is unchanged


# override the standard markers
class BuySellArrows(bt.observers.BuySell):
    plotlines = dict(buy=dict(marker='$\u21E7$', markersize=12.0),
                     sell=dict(marker='$\u21E9$', markersize=12.0))


class St(bt.Strategy):
    def __init__(self):
        bt.obs.BuySell(self.data0, barplot=True)  # done here for
        BuySellArrows(self.data1, barplot=True)  # different markers per data

    def next(self):
        if not self.position:
            if random.randint(0, 1):
                self.buy(data=self.data0)
                self.entered = len(self)

        else:  # in the market
            if (len(self) - self.entered) >= 10:
                self.sell(data=self.data1)


def runstrat(args=None):
    args = parse_args(args)
    cerebro = bt.Cerebro()

    dataname = '../../datas/2006-day-001.txt'  # data feed

    data0 = bt.feeds.BacktraderCSVData(dataname=dataname, name='data0')
    cerebro.adddata(data0)

    data1 = bt.feeds.BacktraderCSVData(dataname=dataname, name='data1')
    data1.addfilter(close_changer)
    if not args.no_comp:
        data1.compensate(data0)
    data1.plotinfo.plotmaster = data0
    if args.sameaxis:
        data1.plotinfo.sameaxis = True
    cerebro.adddata(data1)

    cerebro.addstrategy(St)  # sample strategy

    cerebro.addobserver(bt.obs.Broker)  # removed below with stdstats=False
    cerebro.addobserver(bt.obs.Trades)  # removed below with stdstats=False

    cerebro.broker.set_coc(True)
    cerebro.run(stdstats=False)  # execute
    cerebro.plot(volume=False)  # and plot


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=('Compensation example'))

    parser.add_argument('--no-comp', required=False, action='store_true')
    parser.add_argument('--sameaxis', required=False, action='store_true')
    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/gold-vs-sp500/gold-vs-sp500.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# Reference
# https://estrategiastrading.com/oro-bolsa-estadistica-con-python/

import argparse
import datetime

import scipy.stats

import backtrader as bt


class PearsonR(bt.ind.PeriodN):
    _mindatas = 2  # hint to the platform

    lines = ('correlation',)
    params = (('period', 20),)

    def next(self):
        c, p = scipy.stats.pearsonr(self.data0.get(size=self.p.period),
                                    self.data1.get(size=self.p.period))

        self.lines.correlation[0] = c


class MACrossOver(bt.Strategy):
    params = (
        ('ma', bt.ind.MovAv.SMA),
        ('pd1', 20),
        ('pd2', 20),
    )

    def __init__(self):
        ma1 = self.p.ma(self.data0, period=self.p.pd1, subplot=True)
        self.p.ma(self.data1, period=self.p.pd2, plotmaster=ma1)
        PearsonR(self.data0, self.data1)


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    if not args.offline:
        YahooData = bt.feeds.YahooFinanceData
    else:
        YahooData = bt.feeds.YahooFinanceCSVData

    # Data feeds
    data0 = YahooData(dataname=args.data0, **kwargs)
    # cerebro.adddata(data0)
    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Weeks)

    data1 = YahooData(dataname=args.data1, **kwargs)
    # cerebro.adddata(data1)
    cerebro.resampledata(data1, timeframe=bt.TimeFrame.Weeks)
    data1.plotinfo.plotmaster = data0

    # Broker
    kwargs = eval('dict(' + args.broker + ')')
    cerebro.broker = bt.brokers.BackBroker(**kwargs)

    # Sizer
    kwargs = eval('dict(' + args.sizer + ')')
    cerebro.addsizer(bt.sizers.FixedSize, **kwargs)

    # Strategy
    if True:
        kwargs = eval('dict(' + args.strat + ')')
        cerebro.addstrategy(MACrossOver, **kwargs)

    cerebro.addobserver(bt.observers.LogReturns2,
                        timeframe=bt.TimeFrame.Weeks,
                        compression=20)

    # Execute
    cerebro.run(**(eval('dict(' + args.cerebro + ')')))

    if args.plot:  # Plot if requested to
        cerebro.plot(**(eval('dict(' + args.plot + ')')))


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Gold vs SP500 from '
            'https://estrategiastrading.com/oro-bolsa-estadistica-con-python/')
    )

    parser.add_argument('--data0', required=False, default='SPY',
                        metavar='TICKER', help='Yahoo ticker to download')

    parser.add_argument('--data1', required=False, default='GLD',
                        metavar='TICKER', help='Yahoo ticker to download')

    parser.add_argument('--offline', required=False, action='store_true',
                        help='Use the offline files')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='2005-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='2016-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/ib-cash-bid-ask/ib-cash-bid-ask.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################

# When setting the parameter "what='ASK'" the quoted price for Ask will be used from the incoming messages (field 2) instead of the default Bid price (field 1).

# BID: <tickPrice tickerId=16777217, field=1, price=1.11582, canAutoExecute=1>
# ASK: <tickPrice tickerId=16777219, field=2, price=1.11583, canAutoExecute=1>

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
import datetime


class St(bt.Strategy):
    def logdata(self):
        txt = []
        txt.append('{}'.format(len(self)))
        txt.append('{}'.format(self.data.datetime.datetime(0).isoformat()))
        txt.append(' open BID: ' + '{}'.format(self.datas[0].open[0]))
        txt.append(' open ASK: ' + '{}'.format(self.datas[1].open[0]))
        txt.append(' high BID: ' + '{}'.format(self.datas[0].high[0]))
        txt.append(' high ASK: ' + '{}'.format(self.datas[1].high[0]))
        txt.append(' low BID: ' + '{}'.format(self.datas[0].low[0]))
        txt.append(' low ASK: ' + '{}'.format(self.datas[1].low[0]))
        txt.append(' close BID: ' + '{}'.format(self.datas[0].close[0]))
        txt.append(' close ASK: ' + '{}'.format(self.datas[1].close[0]))
        txt.append(' volume: ' + '{:.2f}'.format(self.data.volume[0]))
        print(','.join(txt))

    data_live = False

    def notify_data(self, data, status, *args, **kwargs):
        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)
        if self.datas[0]._laststatus == self.datas[0].LIVE and self.datas[1]._laststatus == self.datas[1].LIVE:
            self.data_live = True

    # def notify_order(self, order):
    #     if order.status == order.Completed:
    #         buysell = 'BUY ' if order.isbuy() else 'SELL'
    #         txt = '{} {}@{}'.format(buysell, order.executed.size,
    #                                 order.executed.price)
    #         print(txt)

    # bought = 0
    # sold = 0

    def next(self):
        self.logdata()
        if not self.data_live:
            return

        # if not self.bought:
        #     self.bought = len(self)  # keep entry bar
        #     self.buy()
        # elif not self.sold:
        #     if len(self) == (self.bought + 3):
        #         self.sell()


ib_symbol = 'EUR.USD-CASH-IDEALPRO'
compression = 5

def run(args=None):
    cerebro = bt.Cerebro(stdstats=False)
    store = bt.stores.IBStore(port=7497,
                              # _debug=True
                              )

    data0 = store.getdata(dataname=ib_symbol,
                          timeframe=bt.TimeFrame.Ticks,
                          )
    cerebro.resampledata(data0,
                         timeframe=bt.TimeFrame.Seconds,
                         compression=compression
                         )

    data1 = store.getdata(dataname=ib_symbol,
                          timeframe=bt.TimeFrame.Ticks,
                          what='ASK'
                          )
    cerebro.resampledata(data1,
                         timeframe=bt.TimeFrame.Seconds,
                         compression=compression
                         )

    cerebro.broker = store.getbroker()
    cerebro.addstrategy(St)
    cerebro.run()


if __name__ == '__main__':
    run()


================================================
FILE: samples/ibtest/ibtest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
from backtrader.utils import flushfile  # win32 quick stdout flushing


class TestStrategy(bt.Strategy):
    params = dict(
        smaperiod=5,
        trade=False,
        stake=10,
        exectype=bt.Order.Market,
        stopafter=0,
        valid=None,
        cancel=0,
        donotsell=False,
        stoptrail=False,
        stoptraillimit=False,
        trailamount=None,
        trailpercent=None,
        limitoffset=None,
        oca=False,
        bracket=False,
    )

    def __init__(self):
        # To control operation entries
        self.orderid = list()
        self.order = None

        self.counttostop = 0
        self.datastatus = 0

        # Create SMA on 2nd data
        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)

        print('--------------------------------------------------')
        print('Strategy Created')
        print('--------------------------------------------------')

    def notify_data(self, data, status, *args, **kwargs):
        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)
        if status == data.LIVE:
            self.counttostop = self.p.stopafter
            self.datastatus = 1

    def notify_store(self, msg, *args, **kwargs):
        print('*' * 5, 'STORE NOTIF:', msg)

    def notify_order(self, order):
        if order.status in [order.Completed, order.Cancelled, order.Rejected]:
            self.order = None

        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())
        print(order)
        print('-' * 50, 'ORDER END')

    def notify_trade(self, trade):
        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())
        print(trade)
        print('-' * 50, 'TRADE END')

    def prenext(self):
        self.next(frompre=True)

    def next(self, frompre=False):
        txt = list()
        txt.append('Data0')
        txt.append('%04d' % len(self.data0))
        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
        txt.append('{}'.format(self.data.datetime[0]))
        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))
        txt.append('{}'.format(self.data.open[0]))
        txt.append('{}'.format(self.data.high[0]))
        txt.append('{}'.format(self.data.low[0]))
        txt.append('{}'.format(self.data.close[0]))
        txt.append('{}'.format(self.data.volume[0]))
        txt.append('{}'.format(self.data.openinterest[0]))
        txt.append('{}'.format(self.sma[0]))
        print(', '.join(txt))

        if len(self.datas) > 1 and len(self.data1):
            txt = list()
            txt.append('Data1')
            txt.append('%04d' % len(self.data1))
            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
            txt.append('{}'.format(self.data1.datetime[0]))
            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))
            txt.append('{}'.format(self.data1.open[0]))
            txt.append('{}'.format(self.data1.high[0]))
            txt.append('{}'.format(self.data1.low[0]))
            txt.append('{}'.format(self.data1.close[0]))
            txt.append('{}'.format(self.data1.volume[0]))
            txt.append('{}'.format(self.data1.openinterest[0]))
            txt.append('{}'.format(float('NaN')))
            print(', '.join(txt))

        if self.counttostop:  # stop after x live lines
            self.counttostop -= 1
            if not self.counttostop:
                self.env.runstop()
                return

        if not self.p.trade:
            return

        if self.datastatus and not self.position and len(self.orderid) < 1:
            exectype = self.p.exectype if not self.p.oca else bt.Order.Limit
            close = self.data0.close[0]
            price = round(close * 0.90, 2)
            self.order = self.buy(size=self.p.stake,
                                  exectype=exectype,
                                  price=price,
                                  valid=self.p.valid,
                                  transmit=not self.p.bracket)

            self.orderid.append(self.order)

            if self.p.bracket:
                # low side
                self.sell(size=self.p.stake,
                          exectype=bt.Order.Stop,
                          price=round(price * 0.90, 2),
                          valid=self.p.valid,
                          transmit=False,
                          parent=self.order)

                # high side
                self.sell(size=self.p.stake,
                          exectype=bt.Order.Limit,
                          price=round(close * 1.10, 2),
                          valid=self.p.valid,
                          transmit=True,
                          parent=self.order)

            elif self.p.oca:
                self.buy(size=self.p.stake,
                         exectype=bt.Order.Limit,
                         price=round(self.data0.close[0] * 0.80, 2),
                         oco=self.order)

            elif self.p.stoptrail:
                self.sell(size=self.p.stake,
                          exectype=bt.Order.StopTrail,
                          # price=round(self.data0.close[0] * 0.90, 2),
                          valid=self.p.valid,
                          trailamount=self.p.trailamount,
                          trailpercent=self.p.trailpercent)

            elif self.p.stoptraillimit:
                p = round(self.data0.close[0] - self.p.trailamount, 2)
                # p = self.data0.close[0]
                self.sell(size=self.p.stake,
                          exectype=bt.Order.StopTrailLimit,
                          price=p,
                          plimit=p + self.p.limitoffset,
                          valid=self.p.valid,
                          trailamount=self.p.trailamount,
                          trailpercent=self.p.trailpercent)

        elif self.position.size > 0 and not self.p.donotsell:
            if self.order is None:
                self.order = self.sell(size=self.p.stake // 2,
                                       exectype=bt.Order.Market,
                                       price=self.data0.close[0])

        elif self.order is not None and self.p.cancel:
            if self.datastatus > self.p.cancel:
                self.cancel(self.order)

        if self.datastatus:
            self.datastatus += 1

    def start(self):
        if self.data0.contractdetails is not None:
            print('Timezone from ContractDetails: {}'.format(
                  self.data0.contractdetails.m_timeZoneId))

        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',
                  'OpenInterest', 'SMA']
        print(', '.join(header))

        self.done = False


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    storekwargs = dict(
        host=args.host, port=args.port,
        clientId=args.clientId, timeoffset=not args.no_timeoffset,
        reconnect=args.reconnect, timeout=args.timeout,
        notifyall=args.notifyall, _debug=args.debug
    )

    if args.usestore:
        ibstore = bt.stores.IBStore(**storekwargs)

    if args.broker:
        if args.usestore:
            broker = ibstore.getbroker()
        else:
            broker = bt.brokers.IBBroker(**storekwargs)

        cerebro.setbroker(broker)

    timeframe = bt.TimeFrame.TFrame(args.timeframe)
    # Manage data1 parameters
    tf1 = args.timeframe1
    tf1 = bt.TimeFrame.TFrame(tf1) if tf1 is not None else timeframe
    cp1 = args.compression1
    cp1 = cp1 if cp1 is not None else args.compression

    if args.resample or args.replay:
        datatf = datatf1 = bt.TimeFrame.Ticks
        datacomp = datacomp1 = 1
    else:
        datatf = timeframe
        datacomp = args.compression
        datatf1 = tf1
        datacomp1 = cp1

    fromdate = None
    if args.fromdate:
        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))
        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)

    IBDataFactory = ibstore.getdata if args.usestore else bt.feeds.IBData

    datakwargs = dict(
        timeframe=datatf, compression=datacomp,
        historical=args.historical, fromdate=fromdate,
        rtbar=args.rtbar,
        qcheck=args.qcheck,
        what=args.what,
        backfill_start=not args.no_backfill_start,
        backfill=not args.no_backfill,
        latethrough=args.latethrough,
        tz=args.timezone
    )

    if not args.usestore and not args.broker:   # neither store nor broker
        datakwargs.update(storekwargs)  # pass the store args over the data

    data0 = IBDataFactory(dataname=args.data0, **datakwargs)

    data1 = None
    if args.data1 is not None:
        if args.data1 != args.data0:
            datakwargs['timeframe'] = datatf1
            datakwargs['compression'] = datacomp1
            data1 = IBDataFactory(dataname=args.data1, **datakwargs)
        else:
            data1 = data0

    rekwargs = dict(
        timeframe=timeframe, compression=args.compression,
        bar2edge=not args.no_bar2edge,
        adjbartime=not args.no_adjbartime,
        rightedge=not args.no_rightedge,
        takelate=not args.no_takelate,
    )

    if args.replay:
        cerebro.replaydata(data0, **rekwargs)

        if data1 is not None:
            rekwargs['timeframe'] = tf1
            rekwargs['compression'] = cp1
            cerebro.replaydata(data1, **rekwargs)

    elif args.resample:
        cerebro.resampledata(data0, **rekwargs)

        if data1 is not None:
            rekwargs['timeframe'] = tf1
            rekwargs['compression'] = cp1
            cerebro.resampledata(data1, **rekwargs)

    else:
        cerebro.adddata(data0)
        if data1 is not None:
            cerebro.adddata(data1)

    if args.valid is None:
        valid = None
    else:
        valid = datetime.timedelta(seconds=args.valid)
    # Add the strategy
    cerebro.addstrategy(TestStrategy,
                        smaperiod=args.smaperiod,
                        trade=args.trade,
                        exectype=bt.Order.ExecType(args.exectype),
                        stake=args.stake,
                        stopafter=args.stopafter,
                        valid=valid,
                        cancel=args.cancel,
                        donotsell=args.donotsell,
                        stoptrail=args.stoptrail,
                        stoptraillimit=args.traillimit,
                        trailamount=args.trailamount,
                        trailpercent=args.trailpercent,
                        limitoffset=args.limitoffset,
                        oca=args.oca,
                        bracket=args.bracket)

    # Live data ... avoid long data accumulation by switching to "exactbars"
    cerebro.run(exactbars=args.exactbars)

    if args.plot and args.exactbars < 1:  # plot if possible
        cerebro.plot()


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Test Interactive Brokers integration')

    parser.add_argument('--exactbars', default=1, type=int,
                        required=False, action='store',
                        help='exactbars level, use 0/-1/-2 to enable plotting')

    parser.add_argument('--plot',
                        required=False, action='store_true',
                        help='Plot if possible')

    parser.add_argument('--stopafter', default=0, type=int,
                        required=False, action='store',
                        help='Stop after x lines of LIVE data')

    parser.add_argument('--usestore',
                        required=False, action='store_true',
                        help='Use the store pattern')

    parser.add_argument('--notifyall',
                        required=False, action='store_true',
                        help='Notify all messages to strategy as store notifs')

    parser.add_argument('--debug',
                        required=False, action='store_true',
                        help='Display all info received form IB')

    parser.add_argument('--host', default='127.0.0.1',
                        required=False, action='store',
                        help='Host for the Interactive Brokers TWS Connection')

    parser.add_argument('--qcheck', default=0.5, type=float,
                        required=False, action='store',
                        help=('Timeout for periodic '
                              'notification/resampling/replaying check'))

    parser.add_argument('--port', default=7496, type=int,
                        required=False, action='store',
                        help='Port for the Interactive Brokers TWS Connection')

    parser.add_argument('--clientId', default=None, type=int,
                        required=False, action='store',
                        help='Client Id to connect to TWS (default: random)')

    parser.add_argument('--no-timeoffset',
                        required=False, action='store_true',
                        help=('Do not Use TWS/System time offset for non '
                              'timestamped prices and to align resampling'))

    parser.add_argument('--reconnect', default=3, type=int,
                        required=False, action='store',
                        help='Number of recconnection attempts to TWS')

    parser.add_argument('--timeout', default=3.0, type=float,
                        required=False, action='store',
                        help='Timeout between reconnection attempts to TWS')

    parser.add_argument('--data0', default=None,
                        required=True, action='store',
                        help='data 0 into the system')

    parser.add_argument('--data1', default=None,
                        required=False, action='store',
                        help='data 1 into the system')

    parser.add_argument('--timezone', default=None,
                        required=False, action='store',
                        help='timezone to get time output into (pytz names)')

    parser.add_argument('--what', default=None,
                        required=False, action='store',
                        help='specific price type for historical requests')

    parser.add_argument('--no-backfill_start',
                        required=False, action='store_true',
                        help='Disable backfilling at the start')

    parser.add_argument('--latethrough',
                        required=False, action='store_true',
                        help=('if resampling replaying, adjusting time '
                              'and disabling time offset, let late samples '
                              'through'))

    parser.add_argument('--no-backfill',
                        required=False, action='store_true',
                        help='Disable backfilling after a disconnection')

    parser.add_argument('--rtbar', default=False,
                        required=False, action='store_true',
                        help='Use 5 seconds real time bar updates if possible')

    parser.add_argument('--historical',
                        required=False, action='store_true',
                        help='do only historical download')

    parser.add_argument('--fromdate',
                        required=False, action='store',
                        help=('Starting date for historical download '
                              'with format: YYYY-MM-DD[THH:MM:SS]'))

    parser.add_argument('--smaperiod', default=5, type=int,
                        required=False, action='store',
                        help='Period to apply to the Simple Moving Average')

    pgroup = parser.add_mutually_exclusive_group(required=False)

    pgroup.add_argument('--replay',
                        required=False, action='store_true',
                        help='replay to chosen timeframe')

    pgroup.add_argument('--resample',
                        required=False, action='store_true',
                        help='resample to chosen timeframe')

    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[0],
                        choices=bt.TimeFrame.Names,
                        required=False, action='store',
                        help='TimeFrame for Resample/Replay')

    parser.add_argument('--compression', default=1, type=int,
                        required=False, action='store',
                        help='Compression for Resample/Replay')

    parser.add_argument('--timeframe1', default=None,
                        choices=bt.TimeFrame.Names,
                        required=False, action='store',
                        help='TimeFrame for Resample/Replay - Data1')

    parser.add_argument('--compression1', default=None, type=int,
                        required=False, action='store',
                        help='Compression for Resample/Replay - Data1')

    parser.add_argument('--no-takelate',
                        required=False, action='store_true',
                        help=('resample/replay, do not accept late samples '
                              'in new bar if the data source let them through '
                              '(latethrough)'))

    parser.add_argument('--no-bar2edge',
                        required=False, action='store_true',
                        help='no bar2edge for resample/replay')

    parser.add_argument('--no-adjbartime',
                        required=False, action='store_true',
                        help='no adjbartime for resample/replay')

    parser.add_argument('--no-rightedge',
                        required=False, action='store_true',
                        help='no rightedge for resample/replay')

    parser.add_argument('--broker',
                        required=False, action='store_true',
                        help='Use IB as broker')

    parser.add_argument('--trade',
                        required=False, action='store_true',
                        help='Do Sample Buy/Sell operations')

    parser.add_argument('--donotsell',
                        required=False, action='store_true',
                        help='Do not sell after a buy')

    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],
                        choices=bt.Order.ExecTypes,
                        required=False, action='store',
                        help='Execution to Use when opening position')

    parser.add_argument('--stake', default=10, type=int,
                        required=False, action='store',
                        help='Stake to use in buy operations')

    parser.add_argument('--valid', default=None, type=int,
                        required=False, action='store',
                        help='Seconds to keep the order alive (0 means DAY)')

    pgroup = parser.add_mutually_exclusive_group(required=False)
    pgroup.add_argument('--stoptrail',
                        required=False, action='store_true',
                        help='Issue a stoptraillimit after buy( do not sell')

    pgroup.add_argument('--traillimit',
                        required=False, action='store_true',
                        help='Issue a stoptrail after buying (do not sell')

    pgroup.add_argument('--oca',
                        required=False, action='store_true',
                        help='Test oca by putting 2 orders in a group')

    pgroup.add_argument('--bracket',
                        required=False, action='store_true',
                        help='Test bracket orders by issuing high/low sides')

    pgroup = parser.add_mutually_exclusive_group(required=False)
    pgroup.add_argument('--trailamount', default=None, type=float,
                        required=False, action='store',
                        help='trailamount for StopTrail order')

    pgroup.add_argument('--trailpercent', default=None, type=float,
                        required=False, action='store',
                        help='trailpercent for StopTrail order')

    parser.add_argument('--limitoffset', default=None, type=float,
                        required=False, action='store',
                        help='limitoffset for StopTrailLimit orders')

    parser.add_argument('--cancel', default=0, type=int,
                        required=False, action='store',
                        help=('Cancel a buy order after n bars in operation,'
                              ' to be combined with orders like Limit'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/kselrsi/ksignal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class TheStrategy(bt.SignalStrategy):
    params = dict(rsi_per=14, rsi_upper=65.0, rsi_lower=35.0, rsi_out=50.0,
                  warmup=35)

    def notify_order(self, order):
        super(TheStrategy, self).notify_order(order)
        if order.status == order.Completed:
            print('%s: Size: %d @ Price %f' %
                  ('buy' if order.isbuy() else 'sell',
                   order.executed.size, order.executed.price))

            d = order.data
            print('Close[-1]: %f - Open[0]: %f' % (d.close[-1], d.open[0]))

    def __init__(self):
        # Original code needs artificial warmup phase - hidden sma to replic
        if self.p.warmup:
            bt.indicators.SMA(period=self.p.warmup, plot=False)

        rsi = bt.indicators.RSI(period=self.p.rsi_per,
                                upperband=self.p.rsi_upper,
                                lowerband=self.p.rsi_lower)

        crossup = bt.ind.CrossUp(rsi, self.p.rsi_lower)
        self.signal_add(bt.SIGNAL_LONG, crossup)
        self.signal_add(bt.SIGNAL_LONGEXIT, -(rsi > self.p.rsi_out))

        crossdown = bt.ind.CrossDown(rsi, self.p.rsi_upper)
        self.signal_add(bt.SIGNAL_SHORT, -crossdown)
        self.signal_add(bt.SIGNAL_SHORTEXIT, rsi < self.p.rsi_out)


def runstrat(pargs=None):
    args = parse_args(pargs)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)
    cerebro.broker.set_coc(args.coc)
    data0 = bt.feeds.YahooFinanceData(
        dataname=args.data,
        fromdate=datetime.datetime.strptime(args.fromdate, '%Y-%m-%d'),
        todate=datetime.datetime.strptime(args.todate, '%Y-%m-%d'),
        round=False)

    cerebro.adddata(data0)

    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)
    cerebro.addstrategy(TheStrategy, **(eval('dict(' + args.strat + ')')))
    cerebro.addobserver(bt.observers.Value)
    cerebro.addobserver(bt.observers.Trades)
    cerebro.addobserver(bt.observers.BuySell, barplot=True)

    cerebro.run(stdstats=False)
    if args.plot:
        cerebro.plot(**(eval('dict(' + args.plot + ')')))


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample after post at keithselover.wordpress.com')

    parser.add_argument('--data', required=False, default='XOM',
                        help='Yahoo Ticker')

    parser.add_argument('--fromdate', required=False, default='2012-09-01',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False, default='2016-01-01',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store', type=float,
                        default=100000, help=('Cash to start with'))

    parser.add_argument('--stake', required=False, action='store', type=int,
                        default=100, help=('Cash to start with'))

    parser.add_argument('--coc', required=False, action='store_true',
                        help=('Buy on close of same bar as order is issued'))

    parser.add_argument('--strat', required=False, action='store', default='',
                        help=('Arguments for the strategy'))

    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const='{}',
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/lineplotter/lineplotter.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = (
        ('ondata', False),
    )

    def __init__(self):
        if not self.p.ondata:
            a = self.data.high - self.data.low
        else:
            a = 1.05 * (self.data.high + self.data.low) / 2.0

        b = bt.LinePlotterIndicator(a, name='hilo')
        b.plotinfo.subplot = not self.p.ondata


def runstrat(pargs=None):
    args = parse_args(pargs)

    cerebro = bt.Cerebro()

    dkwargs = dict()
    # Get the dates from the args
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate
    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)

    cerebro.addstrategy(St, ondata=args.ondata)
    cerebro.run(stdstats=False)

    # Plot if requested
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Fake Indicator')

    parser.add_argument('--data', '-d',
                        default='../../datas/2005-2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--ondata', '-o', action='store_true',
                        help='Plot fake indicator on the data')

    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/lrsi/lrsi-test.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = (
    )

    def __init__(self):
        mid = (self.data.high + self.data.low) / 2.0
        bt.ind.LaguerreRSI(mid)
        bt.ind.LaguerreRSI3(mid)
        bt.ind.LaguerreRSI2(mid)
        pass

    def next(self):
        pass


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'lrsi sampl'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/macd-settings/macd-settings.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime
import random

import backtrader as bt

BTVERSION = tuple(int(x) for x in bt.__version__.split('.'))


class FixedPerc(bt.Sizer):
    '''This sizer simply returns a fixed size for any operation

    Params:
      - ``perc`` (default: ``0.20``) Perc of cash to allocate for operation
    '''

    params = (
        ('perc', 0.20),  # perc of cash to use for operation
    )

    def _getsizing(self, comminfo, cash, data, isbuy):
        cashtouse = self.p.perc * cash
        if BTVERSION > (1, 7, 1, 93):
            size = comminfo.getsize(data.close[0], cashtouse)
        else:
            size = cashtouse // data.close[0]
        return size


class TheStrategy(bt.Strategy):
    '''
    This strategy is loosely based on some of the examples from the Van
    K. Tharp book: *Trade Your Way To Financial Freedom*. The logic:

      - Enter the market if:
        - The MACD.macd line crosses the MACD.signal line to the upside
        - The Simple Moving Average has a negative direction in the last x
          periods (actual value below value x periods ago)

     - Set a stop price x times the ATR value away from the close

     - If in the market:

       - Check if the current close has gone below the stop price. If yes,
         exit.
       - If not, update the stop price if the new stop price would be higher
         than the current
    '''

    params = (
        # Standard MACD Parameters
        ('macd1', 12),
        ('macd2', 26),
        ('macdsig', 9),
        ('atrperiod', 14),  # ATR Period (standard)
        ('atrdist', 3.0),   # ATR distance for stop price
        ('smaperiod', 30),  # SMA Period (pretty standard)
        ('dirperiod', 10),  # Lookback period to consider SMA trend direction
    )

    def notify_order(self, order):
        if order.status == order.Completed:
            pass

        if not order.alive():
            self.order = None  # indicate no order is pending

    def __init__(self):
        self.macd = bt.indicators.MACD(self.data,
                                       period_me1=self.p.macd1,
                                       period_me2=self.p.macd2,
                                       period_signal=self.p.macdsig)

        # Cross of macd.macd and macd.signal
        self.mcross = bt.indicators.CrossOver(self.macd.macd, self.macd.signal)

        # To set the stop price
        self.atr = bt.indicators.ATR(self.data, period=self.p.atrperiod)

        # Control market trend
        self.sma = bt.indicators.SMA(self.data, period=self.p.smaperiod)
        self.smadir = self.sma - self.sma(-self.p.dirperiod)

    def start(self):
        self.order = None  # sentinel to avoid operrations on pending order

    def next(self):
        if self.order:
            return  # pending order execution

        if not self.position:  # not in the market
            if self.mcross[0] > 0.0 and self.smadir < 0.0:
                self.order = self.buy()
                pdist = self.atr[0] * self.p.atrdist
                self.pstop = self.data.close[0] - pdist

        else:  # in the market
            pclose = self.data.close[0]
            pstop = self.pstop

            if pclose < pstop:
                self.close()  # stop met - get out
            else:
                pdist = self.atr[0] * self.p.atrdist
                # Update only if greater than
                self.pstop = max(pstop, pclose - pdist)


DATASETS = {
    'yhoo': '../../datas/yhoo-1996-2014.txt',
    'orcl': '../../datas/orcl-1995-2014.txt',
    'nvda': '../../datas/nvda-1999-2014.txt',
}


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)
    comminfo = bt.commissions.CommInfo_Stocks_Perc(commission=args.commperc,
                                                   percabs=True)

    cerebro.broker.addcommissioninfo(comminfo)

    dkwargs = dict()
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # if dataset is None, args.data has been given
    dataname = DATASETS.get(args.dataset, args.data)
    data0 = bt.feeds.YahooFinanceCSVData(dataname=dataname, **dkwargs)
    cerebro.adddata(data0)

    cerebro.addstrategy(TheStrategy,
                        macd1=args.macd1, macd2=args.macd2,
                        macdsig=args.macdsig,
                        atrperiod=args.atrperiod,
                        atrdist=args.atrdist,
                        smaperiod=args.smaperiod,
                        dirperiod=args.dirperiod)

    cerebro.addsizer(FixedPerc, perc=args.cashalloc)

    # Add TimeReturn Analyzers for self and the benchmark data
    cerebro.addanalyzer(bt.analyzers.TimeReturn, _name='alltime_roi',
                        timeframe=bt.TimeFrame.NoTimeFrame)

    cerebro.addanalyzer(bt.analyzers.TimeReturn, data=data0, _name='benchmark',
                        timeframe=bt.TimeFrame.NoTimeFrame)

    # Add TimeReturn Analyzers fot the annuyl returns
    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)
    # Add a SharpeRatio
    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years,
                        riskfreerate=args.riskfreerate)

    # Add SQN to qualify the trades
    cerebro.addanalyzer(bt.analyzers.SQN)
    cerebro.addobserver(bt.observers.DrawDown)  # visualize the drawdown evol

    results = cerebro.run()
    st0 = results[0]

    for alyzer in st0.analyzers:
        alyzer.print()

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Tharp example with MACD')

    group1 = parser.add_mutually_exclusive_group(required=True)
    group1.add_argument('--data', required=False, default=None,
                        help='Specific data to be read in')

    group1.add_argument('--dataset', required=False, action='store',
                        default=None, choices=DATASETS.keys(),
                        help='Choose one of the predefined data sets')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--cashalloc', required=False, action='store',
                        type=float, default=0.20,
                        help=('Perc (abs) of cash to allocate for ops'))

    parser.add_argument('--commperc', required=False, action='store',
                        type=float, default=0.0033,
                        help=('Perc (abs) commision in each operation. '
                              '0.001 -> 0.1%%, 0.01 -> 1%%'))

    parser.add_argument('--macd1', required=False, action='store',
                        type=int, default=12,
                        help=('MACD Period 1 value'))

    parser.add_argument('--macd2', required=False, action='store',
                        type=int, default=26,
                        help=('MACD Period 2 value'))

    parser.add_argument('--macdsig', required=False, action='store',
                        type=int, default=9,
                        help=('MACD Signal Period value'))

    parser.add_argument('--atrperiod', required=False, action='store',
                        type=int, default=14,
                        help=('ATR Period To Consider'))

    parser.add_argument('--atrdist', required=False, action='store',
                        type=float, default=3.0,
                        help=('ATR Factor for stop price calculation'))

    parser.add_argument('--smaperiod', required=False, action='store',
                        type=int, default=30,
                        help=('Period for the moving average'))

    parser.add_argument('--dirperiod', required=False, action='store',
                        type=int, default=10,
                        help=('Period for SMA direction calculation'))

    parser.add_argument('--riskfreerate', required=False, action='store',
                        type=float, default=0.01,
                        help=('Risk free rate in Perc (abs) of the asset for '
                              'the Sharpe Ratio'))
    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/memory-savings/memory-savings.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import sys

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
import backtrader.utils.flushfile


class TestInd(bt.Indicator):
    lines = ('a', 'b')

    def __init__(self):
        self.lines.a = b = self.data.close - self.data.high
        self.lines.b = btind.SMA(b, period=20)


class St(bt.Strategy):
    params = (
        ('datalines', False),
        ('lendetails', False),
    )

    def __init__(self):
        btind.SMA()
        btind.Stochastic()
        btind.RSI()
        btind.MACD()
        btind.CCI()
        TestInd().plotinfo.plot = False

    def next(self):
        if self.p.datalines:
            txt = ','.join(
                ['%04d' % len(self),
                 '%04d' % len(self.data0),
                 self.data.datetime.date(0).isoformat()]
            )

            print(txt)

    def loglendetails(self, msg):
        if self.p.lendetails:
            print(msg)

    def stop(self):
        super(St, self).stop()

        tlen = 0
        self.loglendetails('-- Evaluating Datas')
        for i, data in enumerate(self.datas):
            tdata = 0
            for line in data.lines:
                tdata += len(line.array)
                tline = len(line.array)

            tlen += tdata
            logtxt = '---- Data {} Total Cells {} - Cells per Line {}'
            self.loglendetails(logtxt.format(i, tdata, tline))

        self.loglendetails('-- Evaluating Indicators')
        for i, ind in enumerate(self.getindicators()):
            tlen += self.rindicator(ind, i, 0)

        self.loglendetails('-- Evaluating Observers')
        for i, obs in enumerate(self.getobservers()):
            tobs = 0
            for line in obs.lines:
                tobs += len(line.array)
                tline = len(line.array)

            tlen += tdata
            logtxt = '---- Observer {} Total Cells {} - Cells per Line {}'
            self.loglendetails(logtxt.format(i, tobs, tline))

        print('Total memory cells used: {}'.format(tlen))

    def rindicator(self, ind, i, deep):
        tind = 0
        for line in ind.lines:
            tind += len(line.array)
            tline = len(line.array)

        thisind = tind

        tsub = 0
        for j, sind in enumerate(ind.getindicators()):
            tsub += self.rindicator(sind, j, deep + 1)

        iname = ind.__class__.__name__.split('.')[-1]

        logtxt = '---- Indicator {}.{} {} Total Cells {} - Cells per line {}'
        self.loglendetails(logtxt.format(deep, i, iname, tind, tline))
        logtxt = '---- SubIndicators Total Cells {}'
        self.loglendetails(logtxt.format(deep, i, iname, tsub))

        return tind + tsub


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    data = btfeeds.YahooFinanceCSVData(dataname=args.data)
    cerebro.adddata(data)
    cerebro.addstrategy(
        St, datalines=args.datalines, lendetails=args.lendetails)

    cerebro.run(runonce=False, exactbars=args.save)
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Check Memory Savings')

    parser.add_argument('--data', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--save', required=False, type=int, default=0,
                        help=('Memory saving level [1, 0, -1, -2]'))

    parser.add_argument('--datalines', required=False, action='store_true',
                        help=('Print data lines'))

    parser.add_argument('--lendetails', required=False, action='store_true',
                        help=('Print individual items memory usage'))

    parser.add_argument('--plot', required=False, action='store_true',
                        help=('Plot the result'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/mixing-timeframes/mixing-timeframes.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
import backtrader.utils.flushfile


class St(bt.Strategy):
    params = dict(multi=True)

    def __init__(self):
        self.pp = pp = btind.PivotPoint(self.data1)
        pp.plotinfo.plot = False  # deactivate plotting

        if self.p.multi:
            pp1 = pp()  # couple the entire indicators
            self.sellsignal = self.data0.close < pp1.s1
        else:
            self.sellsignal = self.data0.close < pp.s1()

    def next(self):
        txt = ','.join(
            ['%04d' % len(self),
             '%04d' % len(self.data0),
             '%04d' % len(self.data1),
             self.data.datetime.date(0).isoformat(),
             '%.2f' % self.data0.close[0],
             '%.2f' % self.pp.s1[0],
             '%.2f' % self.sellsignal[0]])

        print(txt)


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    data = btfeeds.BacktraderCSVData(dataname=args.data)
    cerebro.adddata(data)
    cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)

    cerebro.addstrategy(St, multi=args.multi)

    cerebro.run(stdstats=False, runonce=False)
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pivot point and cross plotting')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Data to be read in')

    parser.add_argument('--multi', required=False, action='store_true',
                        help='Couple all lines of the indicator')

    parser.add_argument('--plot', required=False, action='store_true',
                        help=('Plot the result'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/multi-copy/multi-copy.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime
import random

import backtrader as bt


class TheStrategy(bt.Strategy):
    '''
    This strategy is capable of:

      - Going Long with a Moving Average upwards CrossOver

      - Going Long again with a MACD upwards CrossOver

      - Closing the aforementioned longs with the corresponding downwards
        crossovers
    '''

    params = (
        ('myname', None),
        ('dtarget', None),
        ('stake', 100),
        ('macd1', 12),
        ('macd2', 26),
        ('macdsig', 9),
        ('sma1', 10),
        ('sma2', 30),
    )

    def notify_order(self, order):
        if not order.alive():
            if not order.isbuy():  # going flat
                self.order = 0

            if order.status == order.Completed:
                tfields = [self.p.myname,
                           len(self),
                           order.data.datetime.date(),
                           order.data._name,
                           'BUY' * order.isbuy() or 'SELL',
                           order.executed.size, order.executed.price]

                print(','.join(str(x) for x in tfields))

    def __init__(self):
        # Choose data to buy from
        self.dtarget = self.getdatabyname(self.p.dtarget)

        # Create indicators
        sma1 = bt.ind.SMA(self.dtarget, period=self.p.sma1)
        sma2 = bt.ind.SMA(self.dtarget, period=self.p.sma2)
        self.smasig = bt.ind.CrossOver(sma1, sma2)

        macd = bt.ind.MACD(self.dtarget,
                           period_me1=self.p.macd1,
                           period_me2=self.p.macd2,
                           period_signal=self.p.macdsig)

        # Cross of macd.macd and macd.signal
        self.macdsig = bt.ind.CrossOver(macd.macd, macd.signal)

    def start(self):
        self.order = 0  # sentinel to avoid operrations on pending order

        tfields = ['Name', 'Length', 'Datetime', 'Operation/Names',
                   'Position1.Size', 'Position2.Size']
        print(','.join(str(x) for x in tfields))

    def next(self):
        tfields = [self.p.myname,
                   len(self),
                   self.data.datetime.date(),
                   self.getposition(self.data0).size]
        if len(self.datas) > 1:
            tfields.append(self.getposition(self.data1).size)

        print(','.join(str(x) for x in tfields))

        buysize = self.p.stake // 2  # let each signal buy half
        if self.macdsig[0] > 0.0:
            self.buy(data=self.dtarget, size=buysize)

        if self.smasig[0] > 0.0:
            self.buy(data=self.dtarget, size=buysize)

        size = self.getposition(self.dtarget).size

        # if 2x in the market, let each potential close ... close 1/2
        if size == self.p.stake:
            size //= 2

        if self.macdsig[0] < 0.0:
            self.close(data=self.dtarget, size=size)

        if self.smasig[0] < 0.0:
            self.close(data=self.dtarget, size=size)


class TheStrategy2(TheStrategy):
    '''
    Subclass of TheStrategy to simply change the parameters

    '''
    params = (
        ('stake', 200),
        ('macd1', 15),
        ('macd2', 22),
        ('macdsig', 7),
        ('sma1', 15),
        ('sma2', 50),
    )


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # if dataset is None, args.data has been given
    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0, name='MyData0')

    st0kwargs = dict()
    if args.st0 is not None:
        tmpdict = eval('dict(' + args.st0 + ')')  # args were passed
        st0kwargs.update(tmpdict)

    cerebro.addstrategy(TheStrategy,
                        myname='St1', dtarget='MyData0', **st0kwargs)

    if args.copydata:
        data1 = data0.copyas('MyData1')
        cerebro.adddata(data1)
        dtarget = 'MyData1'

    else:  # use same target
        dtarget = 'MyData0'

    st1kwargs = dict()
    if args.st1 is not None:
        tmpdict = eval('dict(' + args.st1 + ')')  # args were passed
        st1kwargs.update(tmpdict)

    cerebro.addstrategy(TheStrategy2,
                        myname='St2', dtarget=dtarget, **st1kwargs)

    results = cerebro.run()

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Tharp example with MACD')

    # pgroup = parser.add_mutually_exclusive_group(required=True)
    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2014.txt',
                        help='Specific data0 to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--copydata', required=False, action='store_true',
                        help=('Copy Data for 2nd strategy'))

    parser.add_argument('--st0', required=False, action='store',
                        default=None,
                        help=('Params for 1st strategy: as a list of comma '
                              'separated name=value pairs like: '
                              'stake=100,macd1=12,macd2=26,macdsig=9,'
                              'sma1=10,sma2=30'))

    parser.add_argument('--st1', required=False, action='store',
                        default=None,
                        help=('Params for 1st strategy: as a list of comma '
                              'separated name=value pairs like: '
                              'stake=200,macd1=15,macd2=22,macdsig=7,'
                              'sma1=15,sma2=50'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/multi-example/mult-values.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class TestSizer(bt.Sizer):
    params = dict(stake=1)

    def _getsizing(self, comminfo, cash, data, isbuy):
        dt, i = self.strategy.datetime.date(), data._id
        s = self.p.stake * (1 + (not isbuy))
        print('{} Data {} OType {} Sizing to {}'.format(
            dt, data._name, ('buy' * isbuy) or 'sell', s))

        return s


class St(bt.Strategy):
    params = dict(
        enter=[1, 3, 4],  # data ids are 1 based
        hold=[7, 10, 15],  # data ids are 1 based
        usebracket=True,
        rawbracket=True,
        pentry=0.015,
        plimits=0.03,
        valid=10,
    )

    def notify_order(self, order):
        if order.status == order.Submitted:
            return

        dt, dn = self.datetime.date(), order.data._name
        print('{} {} Order {} Status {}'.format(
            dt, dn, order.ref, order.getstatusname())
        )

        whichord = ['main', 'stop', 'limit', 'close']
        if not order.alive():  # not alive - nullify
            dorders = self.o[order.data]
            idx = dorders.index(order)
            dorders[idx] = None
            print('-- No longer alive {} Ref'.format(whichord[idx]))

            if all(x is None for x in dorders):
                dorders[:] = []  # empty list - New orders allowed

    def __init__(self):
        self.o = dict()  # orders per data (main, stop, limit, manual-close)
        self.holding = dict()  # holding periods per data

    def next(self):
        for i, d in enumerate(self.datas):
            dt, dn = self.datetime.date(), d._name
            pos = self.getposition(d).size
            print('{} {} Position {}'.format(dt, dn, pos))

            if not pos and not self.o.get(d, None):  # no market / no orders
                if dt.weekday() == self.p.enter[i]:
                    if not self.p.usebracket:
                        self.o[d] = [self.buy(data=d)]
                        print('{} {} Buy {}'.format(dt, dn, self.o[d][0].ref))

                    else:
                        p = d.close[0] * (1.0 - self.p.pentry)
                        pstp = p * (1.0 - self.p.plimits)
                        plmt = p * (1.0 + self.p.plimits)
                        valid = datetime.timedelta(self.p.valid)

                        if self.p.rawbracket:
                            o1 = self.buy(data=d, exectype=bt.Order.Limit,
                                          price=p, valid=valid, transmit=False)

                            o2 = self.sell(data=d, exectype=bt.Order.Stop,
                                           price=pstp, size=o1.size,
                                           transmit=False, parent=o1)

                            o3 = self.sell(data=d, exectype=bt.Order.Limit,
                                           price=plmt, size=o1.size,
                                           transmit=True, parent=o1)

                            self.o[d] = [o1, o2, o3]

                        else:
                            self.o[d] = self.buy_bracket(
                                data=d, price=p, stopprice=pstp,
                                limitprice=plmt, oargs=dict(valid=valid))

                        print('{} {} Main {} Stp {} Lmt {}'.format(
                            dt, dn, *(x.ref for x in self.o[d])))

                    self.holding[d] = 0

            elif pos:  # exiting can also happen after a number of days
                self.holding[d] += 1
                if self.holding[d] >= self.p.hold[i]:
                    o = self.close(data=d)
                    self.o[d].append(o)  # manual order to list of orders
                    print('{} {} Manual Close {}'.format(dt, dn, o.ref))
                    if self.p.usebracket:
                        self.cancel(self.o[d][1])  # cancel stop side
                        print('{} {} Cancel {}'.format(dt, dn, self.o[d][1]))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0, name='d0')

    data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **kwargs)
    data1.plotinfo.plotmaster = data0
    cerebro.adddata(data1, name='d1')

    data2 = bt.feeds.YahooFinanceCSVData(dataname=args.data2, **kwargs)
    data2.plotinfo.plotmaster = data0
    cerebro.adddata(data2, name='d2')

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))
    cerebro.broker.setcommission(commission=0.001)

    # Sizer
    # cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))
    cerebro.addsizer(TestSizer, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Multiple Values and Brackets'
        )
    )

    parser.add_argument('--data0', default='../../datas/nvda-1999-2014.txt',
                        required=False, help='Data0 to read in')

    parser.add_argument('--data1', default='../../datas/yhoo-1996-2014.txt',
                        required=False, help='Data1 to read in')

    parser.add_argument('--data2', default='../../datas/orcl-1995-2014.txt',
                        required=False, help='Data1 to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='2001-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='2007-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/multidata-strategy/multidata-strategy-unaligned.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class MultiDataStrategy(bt.Strategy):
    '''
    This strategy operates on 2 datas. The expectation is that the 2 datas are
    correlated and the 2nd data is used to generate signals on the 1st

      - Buy/Sell Operationss will be executed on the 1st data
      - The signals are generated using a Simple Moving Average on the 2nd data
        when the close price crosses upwwards/downwards

    The strategy is a long-only strategy
    '''
    params = dict(
        period=15,
        stake=10,
        printout=True,
    )

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # To control operation entries
        self.orderid = None

        # Create SMA on 2nd data
        sma = btind.MovAv.SMA(self.data1, period=self.p.period)
        # Create a CrossOver Signal from close an moving average
        self.signal = btind.CrossOver(self.data1.close, sma)

    def next(self):
        if self.orderid:
            return  # if an order is active, no new orders are allowed

        if self.p.printout:
            print('Self  len:', len(self))
            print('Data0 len:', len(self.data0))
            print('Data1 len:', len(self.data1))
            print('Data0 len == Data1 len:',
                  len(self.data0) == len(self.data1))

            print('Data0 dt:', self.data0.datetime.datetime())
            print('Data1 dt:', self.data1.datetime.datetime())

        if not self.position:  # not yet in market
            if self.signal > 0.0:  # cross upwards
                self.log('BUY CREATE , %.2f' % self.data1.close[0])
                self.buy(size=self.p.stake)

        else:  # in the market
            if self.signal < 0.0:  # crosss downwards
                self.log('SELL CREATE , %.2f' % self.data1.close[0])
                self.sell(size=self.p.stake)

    def stop(self):
        print('==================================================')
        print('Starting Value - %.2f' % self.broker.startingcash)
        print('Ending   Value - %.2f' % self.broker.getvalue())
        print('==================================================')


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data0 = btfeeds.YahooFinanceCSVData(
        dataname=args.data0,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data0)

    # Create the 2nd data
    data1 = btfeeds.YahooFinanceCSVData(
        dataname=args.data1,
        fromdate=fromdate,
        todate=todate)

    # Add the 2nd data to cerebro
    cerebro.adddata(data1)

    # Add the strategy
    cerebro.addstrategy(MultiDataStrategy,
                        period=args.period,
                        stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.commperc)

    # And run it
    cerebro.run(runonce=not args.runnext,
                preload=not args.nopreload,
                oldsync=args.oldsync)

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiData Strategy')

    parser.add_argument('--data0', '-d0',
                        default='../../datas/orcl-2003-2005.txt',
                        help='1st data into the system')

    parser.add_argument('--data1', '-d1',
                        default='../../datas/yhoo-2003-2005.txt',
                        help='2nd data into the system')

    parser.add_argument('--fromdate', '-f',
                        default='2003-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2005-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--runnext', action='store_true',
                        help='Use next by next instead of runonce')

    parser.add_argument('--nopreload', action='store_true',
                        help='Do not preload the data')

    parser.add_argument('--oldsync', action='store_true',
                        help='Use old data synchronization method')

    parser.add_argument('--commperc', default=0.005, type=float,
                        help='Percentage commission (0.005 is 0.5%%')

    parser.add_argument('--stake', default=10, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/multidata-strategy/multidata-strategy.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class MultiDataStrategy(bt.Strategy):
    '''
    This strategy operates on 2 datas. The expectation is that the 2 datas are
    correlated and the 2nd data is used to generate signals on the 1st

      - Buy/Sell Operationss will be executed on the 1st data
      - The signals are generated using a Simple Moving Average on the 2nd data
        when the close price crosses upwwards/downwards

    The strategy is a long-only strategy
    '''
    params = dict(
        period=15,
        stake=10,
        printout=True,
    )

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # To control operation entries
        self.orderid = None

        # Create SMA on 2nd data
        sma = btind.MovAv.SMA(self.data1, period=self.p.period)
        # Create a CrossOver Signal from close an moving average
        self.signal = btind.CrossOver(self.data1.close, sma)

    def next(self):
        if self.orderid:
            return  # if an order is active, no new orders are allowed

        if self.p.printout:
            print('Self  len:', len(self))
            print('Data0 len:', len(self.data0))
            print('Data1 len:', len(self.data1))
            print('Data0 len == Data1 len:',
                  len(self.data0) == len(self.data1))

            print('Data0 dt:', self.data0.datetime.datetime())
            print('Data1 dt:', self.data1.datetime.datetime())

        if not self.position:  # not yet in market
            if self.signal > 0.0:  # cross upwards
                self.log('BUY CREATE , %.2f' % self.data1.close[0])
                self.buy(size=self.p.stake)
                self.buy(data=self.data1, size=self.p.stake)

        else:  # in the market
            if self.signal < 0.0:  # crosss downwards
                self.log('SELL CREATE , %.2f' % self.data1.close[0])
                self.sell(size=self.p.stake)
                self.sell(data=self.data1, size=self.p.stake)

    def stop(self):
        print('==================================================')
        print('Starting Value - %.2f' % self.broker.startingcash)
        print('Ending   Value - %.2f' % self.broker.getvalue())
        print('==================================================')


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data0 = btfeeds.YahooFinanceCSVData(
        dataname=args.data0,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data0)

    # Create the 2nd data
    data1 = btfeeds.YahooFinanceCSVData(
        dataname=args.data1,
        fromdate=fromdate,
        todate=todate)

    # Add the 2nd data to cerebro
    cerebro.adddata(data1)

    # Add the strategy
    cerebro.addstrategy(MultiDataStrategy,
                        period=args.period,
                        stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.commperc)

    # And run it
    cerebro.run(runonce=not args.runnext,
                preload=not args.nopreload,
                oldsync=args.oldsync)

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiData Strategy')

    parser.add_argument('--data0', '-d0',
                        default='../../datas/orcl-1995-2014.txt',
                        help='1st data into the system')

    parser.add_argument('--data1', '-d1',
                        default='../../datas/yhoo-1996-2014.txt',
                        help='2nd data into the system')

    parser.add_argument('--fromdate', '-f',
                        default='2003-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2005-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--runnext', action='store_true',
                        help='Use next by next instead of runonce')

    parser.add_argument('--nopreload', action='store_true',
                        help='Do not preload the data')

    parser.add_argument('--oldsync', action='store_true',
                        help='Use old data synchronization method')

    parser.add_argument('--commperc', default=0.005, type=float,
                        help='Percentage commission (0.005 is 0.5%%')

    parser.add_argument('--stake', default=10, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/multitrades/mtradeobserver.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

import backtrader as bt


class MTradeObserver(bt.observer.Observer):
    lines = ('Id_0', 'Id_1', 'Id_2')

    plotinfo = dict(plot=True, subplot=True, plotlinelabels=True)

    plotlines = dict(
        Id_0=dict(marker='*', markersize=8.0, color='lime', fillstyle='full'),
        Id_1=dict(marker='o', markersize=8.0, color='red', fillstyle='full'),
        Id_2=dict(marker='s', markersize=8.0, color='blue', fillstyle='full')
    )

    def next(self):
        for trade in self._owner._tradespending:

            if trade.data is not self.data:
                continue

            if not trade.isclosed:
                continue

            self.lines[trade.tradeid][0] = trade.pnlcomm


================================================
FILE: samples/multitrades/multitrades.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import itertools

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind

import mtradeobserver


class MultiTradeStrategy(bt.Strategy):
    '''This strategy buys/sells upong the close price crossing
    upwards/downwards a Simple Moving Average.

    It can be a long-only strategy by setting the param "onlylong" to True
    '''
    params = dict(
        period=15,
        stake=1,
        printout=False,
        onlylong=False,
        mtrade=False,
    )

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # To control operation entries
        self.order = None

        # Create SMA on 2nd data
        sma = btind.MovAv.SMA(self.data, period=self.p.period)
        # Create a CrossOver Signal from close an moving average
        self.signal = btind.CrossOver(self.data.close, sma)

        # To alternate amongst different tradeids
        if self.p.mtrade:
            self.tradeid = itertools.cycle([0, 1, 2])
        else:
            self.tradeid = itertools.cycle([0])

    def next(self):
        if self.order:
            return  # if an order is active, no new orders are allowed

        if self.signal > 0.0:  # cross upwards
            if self.position:
                self.log('CLOSE SHORT , %.2f' % self.data.close[0])
                self.close(tradeid=self.curtradeid)

            self.log('BUY CREATE , %.2f' % self.data.close[0])
            self.curtradeid = next(self.tradeid)
            self.buy(size=self.p.stake, tradeid=self.curtradeid)

        elif self.signal < 0.0:
            if self.position:
                self.log('CLOSE LONG , %.2f' % self.data.close[0])
                self.close(tradeid=self.curtradeid)

            if not self.p.onlylong:
                self.log('SELL CREATE , %.2f' % self.data.close[0])
                self.curtradeid = next(self.tradeid)
                self.sell(size=self.p.stake, tradeid=self.curtradeid)

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.order = None

    def notify_trade(self, trade):
        if trade.isclosed:
            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %
                     (trade.pnl, trade.pnlcomm))

        elif trade.justopened:
            self.log('TRADE OPENED, SIZE %2d' % trade.size)


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add the strategy
    cerebro.addstrategy(MultiTradeStrategy,
                        period=args.period,
                        onlylong=args.onlylong,
                        stake=args.stake,
                        printout=args.printout,
                        mtrade=args.mtrade)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.comm,
                                 mult=args.mult,
                                 margin=args.margin)

    # Add the MultiTradeObserver
    cerebro.addobserver(mtradeobserver.MTradeObserver)

    # And run it
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiTrades')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--mtrade', action='store_true',
                        help='Activate MultiTrade Ids')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--onlylong', '-ol', action='store_true',
                        help='Do only long operations')

    parser.add_argument('--printout', action='store_true',
                        help='Print operation log from strategy')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--comm', default=2, type=float,
                        help='Commission for operation')

    parser.add_argument('--mult', default=10, type=int,
                        help='Multiplier for futures')

    parser.add_argument('--margin', default=2000.0, type=float,
                        help='Margin for each future')

    parser.add_argument('--stake', default=1, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/oandatest/oandatest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
from backtrader.utils import flushfile  # win32 quick stdout flushing

StoreCls = bt.stores.OandaStore
DataCls = bt.feeds.OandaData
# BrokerCls = bt.brokers.OandaBroker


class TestStrategy(bt.Strategy):
    params = dict(
        smaperiod=5,
        trade=False,
        stake=10,
        exectype=bt.Order.Market,
        stopafter=0,
        valid=None,
        cancel=0,
        donotcounter=False,
        sell=False,
        usebracket=False,
    )

    def __init__(self):
        # To control operation entries
        self.orderid = list()
        self.order = None

        self.counttostop = 0
        self.datastatus = 0

        # Create SMA on 2nd data
        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)

        print('--------------------------------------------------')
        print('Strategy Created')
        print('--------------------------------------------------')

    def notify_data(self, data, status, *args, **kwargs):
        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)
        if status == data.LIVE:
            self.counttostop = self.p.stopafter
            self.datastatus = 1

    def notify_store(self, msg, *args, **kwargs):
        print('*' * 5, 'STORE NOTIF:', msg)

    def notify_order(self, order):
        if order.status in [order.Completed, order.Cancelled, order.Rejected]:
            self.order = None

        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())
        print(order)
        print('-' * 50, 'ORDER END')

    def notify_trade(self, trade):
        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())
        print(trade)
        print('-' * 50, 'TRADE END')

    def prenext(self):
        self.next(frompre=True)

    def next(self, frompre=False):
        txt = list()
        txt.append('Data0')
        txt.append('%04d' % len(self.data0))
        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
        txt.append('{:f}'.format(self.data.datetime[0]))
        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))
        txt.append('{:f}'.format(self.data.open[0]))
        txt.append('{:f}'.format(self.data.high[0]))
        txt.append('{:f}'.format(self.data.low[0]))
        txt.append('{:f}'.format(self.data.close[0]))
        txt.append('{:6d}'.format(int(self.data.volume[0])))
        txt.append('{:d}'.format(int(self.data.openinterest[0])))
        txt.append('{:f}'.format(self.sma[0]))
        print(', '.join(txt))

        if len(self.datas) > 1 and len(self.data1):
            txt = list()
            txt.append('Data1')
            txt.append('%04d' % len(self.data1))
            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
            txt.append('{}'.format(self.data1.datetime[0]))
            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))
            txt.append('{}'.format(self.data1.open[0]))
            txt.append('{}'.format(self.data1.high[0]))
            txt.append('{}'.format(self.data1.low[0]))
            txt.append('{}'.format(self.data1.close[0]))
            txt.append('{}'.format(self.data1.volume[0]))
            txt.append('{}'.format(self.data1.openinterest[0]))
            txt.append('{}'.format(float('NaN')))
            print(', '.join(txt))

        if self.counttostop:  # stop after x live lines
            self.counttostop -= 1
            if not self.counttostop:
                self.env.runstop()
                return

        if not self.p.trade:
            return

        if self.datastatus and not self.position and len(self.orderid) < 1:
            if not self.p.usebracket:
                if not self.p.sell:
                    # price = round(self.data0.close[0] * 0.90, 2)
                    price = self.data0.close[0] - 0.005
                    self.order = self.buy(size=self.p.stake,
                                          exectype=self.p.exectype,
                                          price=price,
                                          valid=self.p.valid)
                else:
                    # price = round(self.data0.close[0] * 1.10, 4)
                    price = self.data0.close[0] - 0.05
                    self.order = self.sell(size=self.p.stake,
                                           exectype=self.p.exectype,
                                           price=price,
                                           valid=self.p.valid)

            else:
                print('USING BRACKET')
                price = self.data0.close[0] - 0.05
                self.order, _, _ = self.buy_bracket(size=self.p.stake,
                                                    exectype=bt.Order.Market,
                                                    price=price,
                                                    stopprice=price - 0.10,
                                                    limitprice=price + 0.10,
                                                    valid=self.p.valid)

            self.orderid.append(self.order)
        elif self.position and not self.p.donotcounter:
            if self.order is None:
                if not self.p.sell:
                    self.order = self.sell(size=self.p.stake // 2,
                                           exectype=bt.Order.Market,
                                           price=self.data0.close[0])
                else:
                    self.order = self.buy(size=self.p.stake // 2,
                                          exectype=bt.Order.Market,
                                          price=self.data0.close[0])

            self.orderid.append(self.order)

        elif self.order is not None and self.p.cancel:
            if self.datastatus > self.p.cancel:
                self.cancel(self.order)

        if self.datastatus:
            self.datastatus += 1

    def start(self):
        if self.data0.contractdetails is not None:
            print('-- Contract Details:')
            print(self.data0.contractdetails)

        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',
                  'OpenInterest', 'SMA']
        print(', '.join(header))

        self.done = False


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    storekwargs = dict(
        token=args.token,
        account=args.account,
        practice=not args.live
    )

    if not args.no_store:
        store = StoreCls(**storekwargs)

    if args.broker:
        if args.no_store:
            broker = BrokerCls(**storekwargs)
        else:
            broker = store.getbroker()

        cerebro.setbroker(broker)

    timeframe = bt.TimeFrame.TFrame(args.timeframe)
    # Manage data1 parameters
    tf1 = args.timeframe1
    tf1 = bt.TimeFrame.TFrame(tf1) if tf1 is not None else timeframe
    cp1 = args.compression1
    cp1 = cp1 if cp1 is not None else args.compression

    if args.resample or args.replay:
        datatf = datatf1 = bt.TimeFrame.Ticks
        datacomp = datacomp1 = 1
    else:
        datatf = timeframe
        datacomp = args.compression
        datatf1 = tf1
        datacomp1 = cp1

    fromdate = None
    if args.fromdate:
        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))
        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)

    DataFactory = DataCls if args.no_store else store.getdata

    datakwargs = dict(
        timeframe=datatf, compression=datacomp,
        qcheck=args.qcheck,
        historical=args.historical,
        fromdate=fromdate,
        bidask=args.bidask,
        useask=args.useask,
        backfill_start=not args.no_backfill_start,
        backfill=not args.no_backfill,
        tz=args.timezone
    )

    if args.no_store and not args.broker:   # neither store nor broker
        datakwargs.update(storekwargs)  # pass the store args over the data

    data0 = DataFactory(dataname=args.data0, **datakwargs)

    data1 = None
    if args.data1 is not None:
        if args.data1 != args.data0:
            datakwargs['timeframe'] = datatf1
            datakwargs['compression'] = datacomp1
            data1 = DataFactory(dataname=args.data1, **datakwargs)
        else:
            data1 = data0

    rekwargs = dict(
        timeframe=timeframe, compression=args.compression,
        bar2edge=not args.no_bar2edge,
        adjbartime=not args.no_adjbartime,
        rightedge=not args.no_rightedge,
        takelate=not args.no_takelate,
    )

    if args.replay:
        cerebro.replaydata(data0, **rekwargs)

        if data1 is not None:
            rekwargs['timeframe'] = tf1
            rekwargs['compression'] = cp1
            cerebro.replaydata(data1, **rekwargs)

    elif args.resample:
        cerebro.resampledata(data0, **rekwargs)

        if data1 is not None:
            rekwargs['timeframe'] = tf1
            rekwargs['compression'] = cp1
            cerebro.resampledata(data1, **rekwargs)

    else:
        cerebro.adddata(data0)
        if data1 is not None:
            cerebro.adddata(data1)

    if args.valid is None:
        valid = None
    else:
        valid = datetime.timedelta(seconds=args.valid)
    # Add the strategy
    cerebro.addstrategy(TestStrategy,
                        smaperiod=args.smaperiod,
                        trade=args.trade,
                        exectype=bt.Order.ExecType(args.exectype),
                        stake=args.stake,
                        stopafter=args.stopafter,
                        valid=valid,
                        cancel=args.cancel,
                        donotcounter=args.donotcounter,
                        sell=args.sell,
                        usebracket=args.usebracket)

    # Live data ... avoid long data accumulation by switching to "exactbars"
    cerebro.run(exactbars=args.exactbars)
    if args.exactbars < 1:  # plotting is possible
        if args.plot:
            pkwargs = dict(style='line')
            if args.plot is not True:  # evals to True but is not True
                npkwargs = eval('dict(' + args.plot + ')')  # args were passed
                pkwargs.update(npkwargs)

            cerebro.plot(**pkwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Test Oanda integration')

    parser.add_argument('--exactbars', default=1, type=int,
                        required=False, action='store',
                        help='exactbars level, use 0/-1/-2 to enable plotting')

    parser.add_argument('--stopafter', default=0, type=int,
                        required=False, action='store',
                        help='Stop after x lines of LIVE data')

    parser.add_argument('--no-store',
                        required=False, action='store_true',
                        help='Do not use the store pattern')

    parser.add_argument('--debug',
                        required=False, action='store_true',
                        help='Display all info received from source')

    parser.add_argument('--token', default=None,
                        required=True, action='store',
                        help='Access token to use')

    parser.add_argument('--account', default=None,
                        required=True, action='store',
                        help='Account identifier to use')

    parser.add_argument('--live', default=None,
                        required=False, action='store',
                        help='Go to live server rather than practice')

    parser.add_argument('--qcheck', default=0.5, type=float,
                        required=False, action='store',
                        help=('Timeout for periodic '
                              'notification/resampling/replaying check'))

    parser.add_argument('--data0', default=None,
                        required=True, action='store',
                        help='data 0 into the system')

    parser.add_argument('--data1', default=None,
                        required=False, action='store',
                        help='data 1 into the system')

    parser.add_argument('--timezone', default=None,
                        required=False, action='store',
                        help='timezone to get time output into (pytz names)')

    parser.add_argument('--bidask', default=None,
                        required=False, action='store_true',
                        help='Use bidask ... if False use midpoint')

    parser.add_argument('--useask', default=None,
                        required=False, action='store_true',
                        help='Use the "ask" of bidask prices/streaming')

    parser.add_argument('--no-backfill_start',
                        required=False, action='store_true',
                        help='Disable backfilling at the start')

    parser.add_argument('--no-backfill',
                        required=False, action='store_true',
                        help='Disable backfilling after a disconnection')

    parser.add_argument('--historical',
                        required=False, action='store_true',
                        help='do only historical download')

    parser.add_argument('--fromdate',
                        required=False, action='store',
                        help=('Starting date for historical download '
                              'with format: YYYY-MM-DD[THH:MM:SS]'))

    parser.add_argument('--smaperiod', default=5, type=int,
                        required=False, action='store',
                        help='Period to apply to the Simple Moving Average')

    pgroup = parser.add_mutually_exclusive_group(required=False)

    pgroup.add_argument('--replay',
                        required=False, action='store_true',
                        help='replay to chosen timeframe')

    pgroup.add_argument('--resample',
                        required=False, action='store_true',
                        help='resample to chosen timeframe')

    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[1],
                        choices=bt.TimeFrame.Names,
                        required=False, action='store',
                        help='TimeFrame for Resample/Replay')

    parser.add_argument('--compression', default=1, type=int,
                        required=False, action='store',
                        help='Compression for Resample/Replay')

    parser.add_argument('--timeframe1', default=None,
                        choices=bt.TimeFrame.Names,
                        required=False, action='store',
                        help='TimeFrame for Resample/Replay - Data1')

    parser.add_argument('--compression1', default=None, type=int,
                        required=False, action='store',
                        help='Compression for Resample/Replay - Data1')

    parser.add_argument('--no-takelate',
                        required=False, action='store_true',
                        help=('resample/replay, do not accept late samples'))

    parser.add_argument('--no-bar2edge',
                        required=False, action='store_true',
                        help='no bar2edge for resample/replay')

    parser.add_argument('--no-adjbartime',
                        required=False, action='store_true',
                        help='no adjbartime for resample/replay')

    parser.add_argument('--no-rightedge',
                        required=False, action='store_true',
                        help='no rightedge for resample/replay')

    parser.add_argument('--broker',
                        required=False, action='store_true',
                        help='Use Oanda as broker')

    parser.add_argument('--trade',
                        required=False, action='store_true',
                        help='Do Sample Buy/Sell operations')

    parser.add_argument('--sell',
                        required=False, action='store_true',
                        help='Start by selling')

    parser.add_argument('--usebracket',
                        required=False, action='store_true',
                        help='Test buy_bracket')

    parser.add_argument('--donotcounter',
                        required=False, action='store_true',
                        help='Do not counter the 1st operation')

    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],
                        choices=bt.Order.ExecTypes,
                        required=False, action='store',
                        help='Execution to Use when opening position')

    parser.add_argument('--stake', default=10, type=int,
                        required=False, action='store',
                        help='Stake to use in buy operations')

    parser.add_argument('--valid', default=None, type=float,
                        required=False, action='store',
                        help='Seconds to keep the order alive (0 means DAY)')

    parser.add_argument('--cancel', default=0, type=int,
                        required=False, action='store',
                        help=('Cancel a buy order after n bars in operation,'
                              ' to be combined with orders like Limit'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example (escape the quotes if needed):\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/observer-benchmark/observer-benchmark.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime
import random

import backtrader as bt


class St(bt.Strategy):
    params = (
        ('period', 10),
        ('printout', False),
        ('stake', 1000),
    )

    def __init__(self):
        sma = bt.indicators.SMA(self.data, period=self.p.period)
        self.crossover = bt.indicators.CrossOver(self.data, sma)

    def start(self):
        if self.p.printout:
            txtfields = list()
            txtfields.append('Len')
            txtfields.append('Datetime')
            txtfields.append('Open')
            txtfields.append('High')
            txtfields.append('Low')
            txtfields.append('Close')
            txtfields.append('Volume')
            txtfields.append('OpenInterest')
            print(','.join(txtfields))

    def next(self):
        if self.p.printout:
            # Print only 1st data ... is just a check that things are running
            txtfields = list()
            txtfields.append('%04d' % len(self))
            txtfields.append(self.data.datetime.datetime(0).isoformat())
            txtfields.append('%.2f' % self.data0.open[0])
            txtfields.append('%.2f' % self.data0.high[0])
            txtfields.append('%.2f' % self.data0.low[0])
            txtfields.append('%.2f' % self.data0.close[0])
            txtfields.append('%.2f' % self.data0.volume[0])
            txtfields.append('%.2f' % self.data0.openinterest[0])
            print(','.join(txtfields))

        if self.position:
            if self.crossover < 0.0:
                if self.p.printout:
                    print('CLOSE {} @%{}'.format(size,
                                                 self.data.close[0]))
                self.close()

        else:
            if self.crossover > 0.0:
                self.buy(size=self.p.stake)
                if self.p.printout:
                    print('BUY   {} @%{}'.format(self.p.stake,
                                                self.data.close[0]))


TIMEFRAMES = {
    None: None,
    'days': bt.TimeFrame.Days,
    'weeks': bt.TimeFrame.Weeks,
    'months': bt.TimeFrame.Months,
    'years': bt.TimeFrame.Years,
    'notimeframe': bt.TimeFrame.NoTimeFrame,
}


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0, name='Data0')

    cerebro.addstrategy(St,
                        period=args.period,
                        stake=args.stake,
                        printout=args.printout)

    if args.timereturn:
        cerebro.addobserver(bt.observers.TimeReturn,
                            timeframe=TIMEFRAMES[args.timeframe])
    else:
        benchdata = data0
        if args.benchdata1:
            data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **dkwargs)
            cerebro.adddata(data1, name='Data1')
            benchdata = data1

        cerebro.addobserver(bt.observers.Benchmark,
                            data=benchdata,
                            timeframe=TIMEFRAMES[args.timeframe])

    cerebro.run()

    if args.plot:
        pkwargs = dict()
        if args.plot is not True:  # evals to True but is not True
            pkwargs = eval('dict(' + args.plot + ')')  # args were passed

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Benchmark/TimeReturn Observers Sample')

    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data0 to be read in')

    parser.add_argument('--data1', required=False,
                        default='../../datas/orcl-1995-2014.txt',
                        help='Data1 to be read in')

    parser.add_argument('--benchdata1', required=False, action='store_true',
                        help=('Benchmark against data1'))

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--printout', required=False, action='store_true',
                        help=('Print data lines'))

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--period', required=False, action='store',
                        type=int, default=30,
                        help=('Period for the crossover moving average'))

    parser.add_argument('--stake', required=False, action='store',
                        type=int, default=1000,
                        help=('Stake to apply for the buy operations'))

    parser.add_argument('--timereturn', required=False, action='store_true',
                        default=None,
                        help=('Use TimeReturn observer instead of Benchmark'))

    parser.add_argument('--timeframe', required=False, action='store',
                        default=None, choices=TIMEFRAMES.keys(),
                        help=('TimeFrame to apply to the Observer'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/observers/observers-default-drawdown.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import os.path
import time
import sys


import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class MyStrategy(bt.Strategy):
    params = (('smaperiod', 15),)

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.data.datetime[0]
        if isinstance(dt, float):
            dt = bt.num2date(dt)
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # SimpleMovingAverage on main data
        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)
        sma = btind.SMA(period=self.p.smaperiod)

        # CrossOver (1: up, -1: down) close / sma
        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)

        # Sentinel to None: new ordersa allowed
        self.order = None

    def next(self):
        # Access -1, because drawdown[0] will be calculated after "next"
        self.log('DrawDown: %.2f' % self.stats.drawdown.drawdown[-1])
        self.log('MaxDrawDown: %.2f' % self.stats.drawdown.maxdrawdown[-1])

        # Check if we are in the market
        if self.position:
            if self.buysell < 0:
                self.log('SELL CREATE, %.2f' % self.data.close[0])
                self.sell()

        elif self.buysell > 0:
            self.log('BUY CREATE, %.2f' % self.data.close[0])
            self.buy()


def runstrat():
    cerebro = bt.Cerebro()

    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')
    cerebro.adddata(data)

    cerebro.addobserver(bt.observers.DrawDown)
    cerebro.addobserver(bt.observers.DrawDown_Old)

    cerebro.addstrategy(MyStrategy)
    cerebro.run()

    cerebro.plot()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/observers/observers-default.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
import backtrader.feeds as btfeeds

if __name__ == '__main__':
    cerebro = bt.Cerebro(stdstats=True)
    cerebro.addstrategy(bt.Strategy)

    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')
    cerebro.adddata(data)

    cerebro.run()
    cerebro.plot()


================================================
FILE: samples/observers/observers-orderobserver.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind

from orderobserver import OrderObserver


class MyStrategy(bt.Strategy):
    params = (
        ('smaperiod', 15),
        ('limitperc', 1.0),
        ('valid', 7),
    )

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.data.datetime[0]
        if isinstance(dt, float):
            dt = bt.num2date(dt)
        print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            self.log('ORDER ACCEPTED/SUBMITTED', dt=order.created.dt)
            self.order = order
            return

        if order.status in [order.Expired]:
            self.log('BUY EXPIRED')

        elif order.status in [order.Completed]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                    (order.executed.price,
                     order.executed.value,
                     order.executed.comm))

            else:  # Sell
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price,
                          order.executed.value,
                          order.executed.comm))

        # Sentinel to None: new orders allowed
        self.order = None

    def __init__(self):
        # SimpleMovingAverage on main data
        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)
        sma = btind.SMA(period=self.p.smaperiod)

        # CrossOver (1: up, -1: down) close / sma
        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)

        # Sentinel to None: new ordersa allowed
        self.order = None

    def next(self):
        if self.order:
            # pending order ... do nothing
            return

        # Check if we are in the market
        if self.position:
            if self.buysell < 0:
                self.log('SELL CREATE, %.2f' % self.data.close[0])
                self.sell()

        elif self.buysell > 0:
            plimit = self.data.close[0] * (1.0 - self.p.limitperc / 100.0)
            valid = self.data.datetime.date(0) + \
                datetime.timedelta(days=self.p.valid)
            self.log('BUY CREATE, %.2f' % plimit)
            self.buy(exectype=bt.Order.Limit, price=plimit, valid=valid)


def runstrat():
    cerebro = bt.Cerebro()

    data = bt.feeds.BacktraderCSVData(dataname='../../datas/2006-day-001.txt')
    cerebro.adddata(data)

    cerebro.addobserver(OrderObserver)

    cerebro.addstrategy(MyStrategy)
    cerebro.run()

    cerebro.plot()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/observers/orderobserver.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import math

import backtrader as bt


class OrderObserver(bt.observer.Observer):
    lines = ('created', 'expired',)

    plotinfo = dict(plot=True, subplot=True, plotlinelabels=True)

    plotlines = dict(
        created=dict(marker='*', markersize=8.0, color='lime', fillstyle='full'),
        expired=dict(marker='s', markersize=8.0, color='red', fillstyle='full')
    )

    def next(self):
        for order in self._owner._orderspending:
            if order.data is not self.data:
                continue

            if not order.isbuy():
                continue

            # Only interested in "buy" orders, because the sell orders
            # in the strategy are Market orders and will be immediately
            # executed

            if order.status in [bt.Order.Accepted, bt.Order.Submitted]:
                self.lines.created[0] = order.created.price

            elif order.status in [bt.Order.Expired]:
                self.lines.expired[0] = order.created.price


================================================
FILE: samples/oco/oco.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        ma=bt.ind.SMA,
        p1=5,
        p2=15,
        limit=0.005,
        limdays=3,
        limdays2=1000,
        hold=10,
        usetarget=False,  # use order_target_size
        switchp1p2=False,  # switch prices of order1 and order2
        oco1oco2=False,  # False - use order1 as oco for order3, else order2
        do_oco=True,  # use oco or not
    )

    def notify_order(self, order):
        print('{}: Order ref: {} / Type {} / Status {}'.format(
            self.data.datetime.date(0),
            order.ref, 'Buy' * order.isbuy() or 'Sell',
            order.getstatusname()))

        if order.status == order.Completed:
            self.holdstart = len(self)

        if not order.alive() and order.ref in self.orefs:
            self.orefs.remove(order.ref)

    def __init__(self):
        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)
        self.cross = bt.ind.CrossOver(ma1, ma2)

        self.orefs = list()

        if self.p.usetarget:
            print('-' * 5, 'Using order_target_size')
            self._dobuy = self.order_target_size
            self._doclose = self.order_target_size
        else:
            self._dobuy = self.buy
            self._doclose = self.close

    def next(self):
        if self.orefs:
            return  # pending orders do nothing

        if not self.position:
            if self.cross > 0.0:  # crossing up

                p1 = self.data.close[0] * (1.0 - self.p.limit)
                p2 = self.data.close[0] * (1.0 - 2 * 2 * self.p.limit)
                p3 = self.data.close[0] * (1.0 - 3 * 3 * self.p.limit)

                valid1 = datetime.timedelta(self.p.limdays)
                valid2 = valid3 = datetime.timedelta(self.p.limdays2)

                if self.p.switchp1p2:
                    p1, p2 = p2, p1
                    valid1, valid2 = valid2, valid1

                print('valid1 is:', valid1)

                kargs = dict(exectype=bt.Order.Limit)
                kargs[('target' * self.p.usetarget) or 'size'] = 1

                o1 = self._dobuy(price=p1, valid=valid1, **kargs)
                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o1.ref, p1))

                oco2 = o1 if self.p.do_oco else None
                o2 = self._dobuy(price=p2, valid=valid2, oco=oco2, **kargs)

                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o2.ref, p2))

                if self.p.do_oco:
                    oco3 = o1 if not self.p.oco1oco2 else oco2
                else:
                    oco3 = None

                o3 = self._dobuy(price=p3, valid=valid3, oco=oco3, **kargs)

                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o3.ref, p3))

                self.orefs = [o1.ref, o2.ref, o3.ref]

        else:  # in the market
            if (len(self) - self.holdstart) >= self.p.hold:
                self._doclose()


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/optimization/optimization.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import time

from backtrader.utils.py3 import range

import backtrader as bt
import backtrader.indicators as btind
import backtrader.feeds as btfeeds


class OptimizeStrategy(bt.Strategy):
    params = (('smaperiod', 15),
              ('macdperiod1', 12),
              ('macdperiod2', 26),
              ('macdperiod3', 9),
              )

    def __init__(self):
        # Add indicators to add load

        btind.SMA(period=self.p.smaperiod)
        btind.MACD(period_me1=self.p.macdperiod1,
                   period_me2=self.p.macdperiod2,
                   period_signal=self.p.macdperiod3)


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(maxcpus=args.maxcpus,
                         runonce=not args.no_runonce,
                         exactbars=args.exactbars,
                         optdatas=not args.no_optdatas,
                         optreturn=not args.no_optreturn)

    # Add a strategy
    cerebro.optstrategy(
        OptimizeStrategy,
        smaperiod=range(args.ma_low, args.ma_high),
        macdperiod1=range(args.m1_low, args.m1_high),
        macdperiod2=range(args.m2_low, args.m2_high),
        macdperiod3=range(args.m3_low, args.m3_high),
    )

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the Data Feed to Cerebro
    cerebro.adddata(data)

    # clock the start of the process
    tstart = time.clock()

    # Run over everything
    stratruns = cerebro.run()

    # clock the end of the process
    tend = time.clock()

    print('==================================================')
    for stratrun in stratruns:
        print('**************************************************')
        for strat in stratrun:
            print('--------------------------------------------------')
            print(strat.p._getkwargs())
    print('==================================================')

    # print out the result
    print('Time used:', str(tend - tstart))


def parse_args():
    parser = argparse.ArgumentParser(
        description='Optimization',
        formatter_class=argparse.RawTextHelpFormatter,
    )

    parser.add_argument(
        '--data', '-d',
        default='../../datas/2006-day-001.txt',
        help='data to add to the system')

    parser.add_argument(
        '--fromdate', '-f',
        default='2006-01-01',
        help='Starting date in YYYY-MM-DD format')

    parser.add_argument(
        '--todate', '-t',
        default='2006-12-31',
        help='Starting date in YYYY-MM-DD format')

    parser.add_argument(
        '--maxcpus', '-m',
        type=int, required=False, default=0,
        help=('Number of CPUs to use in the optimization'
              '\n'
              '  - 0 (default): use all available CPUs\n'
              '  - 1 -> n: use as many as specified\n'))

    parser.add_argument(
        '--no-runonce', action='store_true', required=False,
        help='Run in next mode')

    parser.add_argument(
        '--exactbars', required=False, type=int, default=0,
        help=('Use the specified exactbars still compatible with preload\n'
              '  0 No memory savings\n'
              '  -1 Moderate memory savings\n'
              '  -2 Less moderate memory savings\n'))

    parser.add_argument(
        '--no-optdatas', action='store_true', required=False,
        help='Do not optimize data preloading in optimization')

    parser.add_argument(
        '--no-optreturn', action='store_true', required=False,
        help='Do not optimize the returned values to save time')

    parser.add_argument(
        '--ma_low', type=int,
        default=10, required=False,
        help='SMA range low to optimize')

    parser.add_argument(
        '--ma_high', type=int,
        default=30, required=False,
        help='SMA range high to optimize')

    parser.add_argument(
        '--m1_low', type=int,
        default=12, required=False,
        help='MACD Fast MA range low to optimize')

    parser.add_argument(
        '--m1_high', type=int,
        default=20, required=False,
        help='MACD Fast MA range high to optimize')

    parser.add_argument(
        '--m2_low', type=int,
        default=26, required=False,
        help='MACD Slow MA range low to optimize')

    parser.add_argument(
        '--m2_high', type=int,
        default=30, required=False,
        help='MACD Slow MA range high to optimize')

    parser.add_argument(
        '--m3_low', type=int,
        default=9, required=False,
        help='MACD Signal range low to optimize')

    parser.add_argument(
        '--m3_high', type=int,
        default=15, required=False,
        help='MACD Signal range high to optimize')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/order-close/close-daily.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,)
#                        unicode_literals)

import argparse
import datetime
import random

import backtrader as bt
import backtrader.feeds as btfeeds

from backtrader.utils.py3 import with_metaclass


class St(bt.Strategy):
    def __init__(self):
        self.order = None

    def notify_order(self, order):
        curdtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d')
        if order.status in [order.Completed]:
            dtstr = bt.num2date(order.executed.dt).strftime('%a %Y-%m-%d')
            if order.isbuy():
                print('%s: BUY  EXECUTED, on:' % curdtstr, dtstr)
            else:  # Sell
                print('%s: SELL EXECUTED, on:' % curdtstr, dtstr)

            self.order = None

    def next(self):
        dtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')
        # print('%s: data' % dtstr)
        if self.order:
            return

        if not random.randint(0, 5):  # roll a dice to decide entering/exit
            if self.position:
                print('%s: SELL CREATED' % dtstr)
                self.order = self.close(exectype=bt.Order.Close)
            else:  # no pending order
                print('%s: BUY  CREATED' % dtstr)
                self.order = self.buy(exectype=bt.Order.Close)


class SessionEndFiller(with_metaclass(bt.metabase.MetaParams, object)):
    '''This data filter simply adds the time given in param ``endtime`` to the
    current data datetime

    It is intended for daily bars which come from sources with no time
    indication and can be used to signal the bar is passed the end of the
    session

    The default value for ``endtime`` is 1 second before midnight 23:59:59
    '''
    params = (('endtime', datetime.time(23, 59, 59)),)

    def __call__(self, data):
        '''
        Params:
          - data: the data source to filter/process

        Returns:
          - False (always) because this filter does not remove bars from the
            stream
        '''
        # Get time of current (from data source) bar
        dtime = datetime.combine(data.datetime.date(), self.p.endtime)
        data.datetime[0] = data.date2num(dtime)
        return False


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    cerebro.adddata(getdata(args))
    cerebro.addstrategy(St)
    if args.eosbar:
        cerebro.broker.seteosbar(True)

    cerebro.run()


def getdata(args):

    dataformat = dict(
        bt=btfeeds.BacktraderCSVData,
        visualchart=btfeeds.VChartCSVData,
        sierrachart=btfeeds.SierraChartCSVData,
        yahoo=btfeeds.YahooFinanceCSVData,
        yahoo_unreversed=btfeeds.YahooFinanceCSVData
    )

    dfkwargs = dict()
    if args.csvformat == 'yahoo_unreversed':
        dfkwargs['reverse'] = True

    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dfkwargs['fromdate'] = fromdate

    if args.todate:
        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dfkwargs['todate'] = todate

    if args.tend is not None:
        # internally only the "time" part is used
        dfkwargs['sessionend'] = datetime.datetime.strptime(args.tend, '%H:%M')

    dfkwargs['dataname'] = args.infile
    dfcls = dataformat[args.csvformat]

    data = dfcls(**dfkwargs)

    if args.filltime is not None:
        filltime = datetime.datetime.strptime(args.filltime, '%H:%M:%S').time()
        data.addfilter(SessionEndFiller, endtime=filltime)

    return data


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Close Orders with daily data')

    parser.add_argument('--infile', '-i', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='File to be read in')

    parser.add_argument('--csvformat', '-c', required=False, default='bt',
                        choices=['bt', 'visualchart', 'sierrachart',
                                 'yahoo', 'yahoo_unreversed'],
                        help='CSV Format')

    parser.add_argument('--fromdate', '-f', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--eosbar', required=False, action='store_true',
                        help=('Consider a bar with the end of session time to'
                              'be the end of the session'))

    parser.add_argument('--tend', '-te',
                        default=None, required=False,
                        help='End time for the Session Filter (HH:MM)')

    parser.add_argument('--filltime', '-ftime',
                        default=None, required=False,
                        help='Add Time to daily bars (HH:MM:SS)')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/order-close/close-minute.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,)
#                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.feeds as btfeeds


class St(bt.Strategy):
    def __init__(self):
        self.curdate = datetime.date.min
        self.elapsed = 0
        self.order = None

    def notify_order(self, order):
        curdtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')
        if order.status in [order.Completed]:
            dtstr = bt.num2date(order.executed.dt).strftime('%a %Y-%m-%d %H:%M:%S')
            if order.isbuy():
                print('%s: BUY  EXECUTED, on:' % curdtstr, dtstr)
                self.order = None
            else:  # Sell
                print('%s: SELL EXECUTED, on:' % curdtstr, dtstr)

    def next(self):
        curdate = self.data.datetime.date()
        if curdate > self.curdate:
            self.elapsed += 1
            self.curdate = curdate

        dtstr = self.data.datetime.datetime().strftime('%a %Y-%m-%d %H:%M:%S')
        if self.position and self.elapsed == 2:
            print('%s: SELL CREATED' % dtstr)
            self.close(exectype=bt.Order.Close)
            self.elapsed = 0
        elif self.order is None and self.elapsed == 2:  # no pending order
            print('%s: BUY  CREATED' % dtstr)
            self.order = self.buy(exectype=bt.Order.Close)
            self.elapsed = 0


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    cerebro.adddata(getdata(args))
    cerebro.addstrategy(St)
    if args.eosbar:
        cerebro.broker.seteosbar(True)

    cerebro.run()


def getdata(args):

    dataformat = dict(
        bt=btfeeds.BacktraderCSVData,
        visualchart=btfeeds.VChartCSVData,
        sierrachart=btfeeds.SierraChartCSVData,
        yahoo=btfeeds.YahooFinanceCSVData,
        yahoo_unreversed=btfeeds.YahooFinanceCSVData
    )

    dfkwargs = dict()
    if args.csvformat == 'yahoo_unreversed':
        dfkwargs['reverse'] = True

    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dfkwargs['fromdate'] = fromdate

    if args.todate:
        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dfkwargs['todate'] = todate

    if args.tend is not None:
        # internally only the "time" part is used
        dfkwargs['sessionend'] = datetime.datetime.strptime(args.tend, '%H:%M')

    dfkwargs['dataname'] = args.infile
    dfcls = dataformat[args.csvformat]

    data = dfcls(**dfkwargs)

    return data


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Close Orders with daily data')

    parser.add_argument('--infile', '-i', required=False,
                        default='../../datas/2006-min-005.txt',
                        help='File to be read in')

    parser.add_argument('--csvformat', '-c', required=False, default='bt',
                        choices=['bt', 'visualchart', 'sierrachart',
                                 'yahoo', 'yahoo_unreversed'],
                        help='CSV Format')

    parser.add_argument('--fromdate', '-f', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--eosbar', required=False, action='store_true',
                        help=('Consider a bar with the end of session time to'
                              'be the end of the session'))

    parser.add_argument('--tend', '-te',
                        default=None, required=False,
                        help='End time for the Session Filter (HH:MM)')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/order-execution/order-execution.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import os.path
import time
import sys


import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class OrderExecutionStrategy(bt.Strategy):
    params = (
        ('smaperiod', 15),
        ('exectype', 'Market'),
        ('perc1', 3),
        ('perc2', 1),
        ('valid', 4),
    )

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.data.datetime[0]
        if isinstance(dt, float):
            dt = bt.num2date(dt)
        print('%s, %s' % (dt.isoformat(), txt))

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            self.log('ORDER ACCEPTED/SUBMITTED', dt=order.created.dt)
            self.order = order
            return

        if order.status in [order.Expired]:
            self.log('BUY EXPIRED')

        elif order.status in [order.Completed]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                    (order.executed.price,
                     order.executed.value,
                     order.executed.comm))

            else:  # Sell
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price,
                          order.executed.value,
                          order.executed.comm))

        # Sentinel to None: new orders allowed
        self.order = None

    def __init__(self):
        # SimpleMovingAverage on main data
        # Equivalent to -> sma = btind.SMA(self.data, period=self.p.smaperiod)
        sma = btind.SMA(period=self.p.smaperiod)

        # CrossOver (1: up, -1: down) close / sma
        self.buysell = btind.CrossOver(self.data.close, sma, plot=True)

        # Sentinel to None: new ordersa allowed
        self.order = None

    def next(self):
        if self.order:
            # An order is pending ... nothing can be done
            return

        # Check if we are in the market
        if self.position:
            # In the maerket - check if it's the time to sell
            if self.buysell < 0:
                self.log('SELL CREATE, %.2f' % self.data.close[0])
                self.sell()

        elif self.buysell > 0:
            if self.p.valid:
                valid = self.data.datetime.date(0) + \
                        datetime.timedelta(days=self.p.valid)
            else:
                valid = None

            # Not in the market and signal to buy
            if self.p.exectype == 'Market':
                self.buy(exectype=bt.Order.Market)  # default if not given

                self.log('BUY CREATE, exectype Market, price %.2f' %
                         self.data.close[0])

            elif self.p.exectype == 'Close':
                self.buy(exectype=bt.Order.Close)

                self.log('BUY CREATE, exectype Close, price %.2f' %
                         self.data.close[0])

            elif self.p.exectype == 'Limit':
                price = self.data.close * (1.0 - self.p.perc1 / 100.0)

                self.buy(exectype=bt.Order.Limit, price=price, valid=valid)

                if self.p.valid:
                    txt = 'BUY CREATE, exectype Limit, price %.2f, valid: %s'
                    self.log(txt % (price, valid.strftime('%Y-%m-%d')))
                else:
                    txt = 'BUY CREATE, exectype Limit, price %.2f'
                    self.log(txt % price)

            elif self.p.exectype == 'Stop':
                price = self.data.close * (1.0 + self.p.perc1 / 100.0)

                self.buy(exectype=bt.Order.Stop, price=price, valid=valid)

                if self.p.valid:
                    txt = 'BUY CREATE, exectype Stop, price %.2f, valid: %s'
                    self.log(txt % (price, valid.strftime('%Y-%m-%d')))
                else:
                    txt = 'BUY CREATE, exectype Stop, price %.2f'
                    self.log(txt % price)

            elif self.p.exectype == 'StopLimit':
                price = self.data.close * (1.0 + self.p.perc1 / 100.0)

                plimit = self.data.close * (1.0 + self.p.perc2 / 100.0)

                self.buy(exectype=bt.Order.StopLimit, price=price, valid=valid,
                         plimit=plimit)

                if self.p.valid:
                    txt = ('BUY CREATE, exectype StopLimit, price %.2f,'
                           ' valid: %s, pricelimit: %.2f')
                    self.log(txt % (price, valid.strftime('%Y-%m-%d'), plimit))
                else:
                    txt = ('BUY CREATE, exectype StopLimit, price %.2f,'
                           ' pricelimit: %.2f')
                    self.log(txt % (price, plimit))


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()

    data = getdata(args)
    cerebro.adddata(data)

    cerebro.addstrategy(
        OrderExecutionStrategy,
        exectype=args.exectype,
        perc1=args.perc1,
        perc2=args.perc2,
        valid=args.valid,
        smaperiod=args.smaperiod
    )
    cerebro.run()

    if args.plot:
        cerebro.plot(numfigs=args.numfigs, style=args.plotstyle)


def getdata(args):

    dataformat = dict(
        bt=btfeeds.BacktraderCSVData,
        visualchart=btfeeds.VChartCSVData,
        sierrachart=btfeeds.SierraChartCSVData,
        yahoo=btfeeds.YahooFinanceCSVData,
        yahoo_unreversed=btfeeds.YahooFinanceCSVData
    )

    dfkwargs = dict()
    if args.csvformat == 'yahoo_unreversed':
        dfkwargs['reverse'] = True

    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dfkwargs['fromdate'] = fromdate

    if args.todate:
        fromdate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dfkwargs['todate'] = todate

    dfkwargs['dataname'] = args.infile

    dfcls = dataformat[args.csvformat]

    return dfcls(**dfkwargs)


def parse_args():
    parser = argparse.ArgumentParser(
        description='Showcase for Order Execution Types')

    parser.add_argument('--infile', '-i', required=False,
                        default='../../datas/2006-day-001.txt',
                        help='File to be read in')

    parser.add_argument('--csvformat', '-c', required=False, default='bt',
                        choices=['bt', 'visualchart', 'sierrachart',
                                 'yahoo', 'yahoo_unreversed'],
                        help='CSV Format')

    parser.add_argument('--fromdate', '-f', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--plot', '-p', action='store_true', required=False,
                        help='Plot the read data')

    parser.add_argument('--plotstyle', '-ps', required=False, default='bar',
                        choices=['bar', 'line', 'candle'],
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', required=False, default=1,
                        help='Plot using n figures')

    parser.add_argument('--smaperiod', '-s', required=False, default=15,
                        help='Simple Moving Average Period')

    parser.add_argument('--exectype', '-e', required=False, default='Market',
                        help=('Execution Type: Market (default), Close, Limit,'
                              ' Stop, StopLimit'))

    parser.add_argument('--valid', '-v', required=False, default=0, type=int,
                        help='Validity for Limit sample: default 0 days')

    parser.add_argument('--perc1', '-p1', required=False, default=0.0,
                        type=float,
                        help=('%% distance from close price at order creation'
                              ' time for the limit/trigger price in Limit/Stop'
                              ' orders'))

    parser.add_argument('--perc2', '-p2', required=False, default=0.0,
                        type=float,
                        help=('%% distance from close price at order creation'
                              ' time for the limit price in StopLimit orders'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/order-history/order-history.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


ORDER_HISTORY = (
    ('2005-02-01', 1, 2984.63),
    ('2005-03-04', -1, 3079.93),
    ('2005-03-08', 1, 3113.82),
    ('2005-03-22', -1, 3040.55),
    ('2005-04-08', 1, 3092.07),
    ('2005-04-20', -1, 2957.92),
    ('2005-05-13', 1, 2991.71),
    ('2005-08-19', -1, 3284.35),
    ('2005-08-22', 1, 3328.84),
    ('2005-08-25', -1, 3293.69),
    ('2005-09-12', 1, 3361.1),
    ('2005-10-18', -1, 3356.73),
    ('2005-11-09', 1, 3361.92),
    ('2006-01-24', -1, 3544.78),
    ('2006-02-06', 1, 3678.87),
    ('2006-03-13', -1, 3801.03),
    ('2006-03-20', 1, 3833.25),
    ('2006-04-13', -1, 3777.24),
    ('2006-05-02', 1, 3839.24),
    ('2006-05-16', -1, 3711.46),
    ('2006-06-30', 1, 3592.01),
    ('2006-07-21', -1, 3580.53),
    ('2006-08-01', 1, 3687.82),
    ('2006-09-14', -1, 3809.08),
    ('2006-09-25', 1, 3815.13),
    ('2006-12-01', -1, 3993.03),
    ('2006-12-18', 1, 4140.99),
)


class SmaCross(bt.SignalStrategy):
    params = dict(sma1=10, sma2=20)

    def notify_order(self, order):
        if not order.alive():
            print(','.join(str(x) for x in
                           (self.data.num2date(order.executed.dt).date(),
                            order.executed.size * 1 if order.isbuy() else -1,
                            order.executed.price)))

    def notify_trade(self, trade):
        if trade.isclosed:
            print('profit {}'.format(trade.pnlcomm))

    def __init__(self):
        print('Creating Signal Strategy')
        sma1 = bt.ind.SMA(period=self.params.sma1)
        sma2 = bt.ind.SMA(period=self.params.sma2)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)


class St(bt.Strategy):
    params = dict(
    )

    def notify_order(self, order):
        if not order.alive():
            print(','.join(str(x) for x in
                           (self.data.num2date(order.executed.dt).date(),
                            order.executed.size * 1 if order.isbuy() else -1,
                            order.executed.price)))

    def notify_trade(self, trade):
        if trade.isclosed:
            print('profit {}'.format(trade.pnlcomm))

    def __init__(self):
        print('Creating Empty Strategy')
        pass

    def next(self):
        pass


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    if not args.order_history:
        cerebro.addstrategy(SmaCross, **eval('dict(' + args.strat + ')'))
    else:
        cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))
        cerebro.add_order_history(ORDER_HISTORY, notify=True)

    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Months)
    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)
    cerebro.addanalyzer(bt.analyzers.TradeAnalyzer)

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Order History Sample'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--order-history', required=False, action='store_true',
                        help='use order history')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/order_target/order_target.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
from datetime import datetime

import backtrader as bt


class TheStrategy(bt.Strategy):
    '''
    This strategy is loosely based on some of the examples from the Van
    K. Tharp book: *Trade Your Way To Financial Freedom*. The logic:

      - Enter the market if:
        - The MACD.macd line crosses the MACD.signal line to the upside
        - The Simple Moving Average has a negative direction in the last x
          periods (actual value below value x periods ago)

     - Set a stop price x times the ATR value away from the close

     - If in the market:

       - Check if the current close has gone below the stop price. If yes,
         exit.
       - If not, update the stop price if the new stop price would be higher
         than the current
    '''

    params = (
        ('use_target_size', False),
        ('use_target_value', False),
        ('use_target_percent', False),
    )

    def notify_order(self, order):
        if order.status == order.Completed:
            pass

        if not order.alive():
            self.order = None  # indicate no order is pending

    def start(self):
        self.order = None  # sentinel to avoid operrations on pending order

    def next(self):
        dt = self.data.datetime.date()

        portfolio_value = self.broker.get_value()
        print('%04d - %s - Position Size:     %02d - Value %.2f' %
              (len(self), dt.isoformat(), self.position.size, portfolio_value))

        data_value = self.broker.get_value([self.data])

        if self.p.use_target_value:
            print('%04d - %s - data value %.2f' %
                  (len(self), dt.isoformat(), data_value))

        elif self.p.use_target_percent:
            port_perc = data_value / portfolio_value
            print('%04d - %s - data percent %.2f' %
                  (len(self), dt.isoformat(), port_perc))

        if self.order:
            return  # pending order execution

        size = dt.day
        if (dt.month % 2) == 0:
            size = 31 - size

        if self.p.use_target_size:
            target = size
            print('%04d - %s - Order Target Size: %02d' %
                  (len(self), dt.isoformat(), size))

            self.order = self.order_target_size(target=size)

        elif self.p.use_target_value:
            value = size * 1000

            print('%04d - %s - Order Target Value: %.2f' %
                  (len(self), dt.isoformat(), value))

            self.order = self.order_target_value(target=value)

        elif self.p.use_target_percent:
            percent = size / 100.0

            print('%04d - %s - Order Target Percent: %.2f' %
                  (len(self), dt.isoformat(), percent))

            self.order = self.order_target_percent(target=percent)


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.setcash(args.cash)

    dkwargs = dict()
    if args.fromdate is not None:
        dkwargs['fromdate'] = datetime.strptime(args.fromdate, '%Y-%m-%d')
    if args.todate is not None:
        dkwargs['todate'] = datetime.strptime(args.todate, '%Y-%m-%d')

    # data
    data = bt.feeds.YahooFinanceCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)

    # strategy
    cerebro.addstrategy(TheStrategy,
                        use_target_size=args.target_size,
                        use_target_value=args.target_value,
                        use_target_percent=args.target_percent)

    cerebro.run()

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Order Target')

    parser.add_argument('--data', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Specific data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=1000000,
                        help='Ending date in YYYY-MM-DD format')

    pgroup = parser.add_mutually_exclusive_group(required=True)

    pgroup.add_argument('--target-size', required=False, action='store_true',
                        help=('Use order_target_size'))

    pgroup.add_argument('--target-value', required=False, action='store_true',
                        help=('Use order_target_value'))

    pgroup.add_argument('--target-percent', required=False,
                        action='store_true',
                        help=('Use order_target_percent'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/partial-plot/partial-plot.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = (
    )

    def __init__(self):
        # self.schedule_once(self.pepe, when=datetime.datetime())
        # This one won't have the expected fidelity in backtesting
        # self.schedule_once(self.pepe, when=datetime.timedelta())
        # self.schedule_reps(self.pepe, when=datetime.time(), days=bt.sched.)

        bt.ind.SMA()
        stoc = bt.ind.Stochastic()
        bt.ind.CrossOver(stoc.lines.percK, stoc.lines.percD)

    def next(self):
        pass


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Weeks)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample for partial plotting'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/pinkfish-challenge/pinkfish-challenge.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.indicators as btind


class DayStepsCloseFilter(bt.with_metaclass(bt.MetaParams, object)):
    '''
    Replays a bar in 2 steps:

      - In the 1st step the "Open-High-Low" could be evaluated to decide if to
        act on the close (the close is still there ... should not be evaluated)

      - If a "Close" order has been executed

        In this 1st fragment the "Close" is replaced through the "open" althoug
        other alternatives would be possible like high - low average, or an
        algorithm based on where the "close" ac

      and

      - Open-High-Low-Close
    '''
    params = (
        ('cvol', 0.5),  # 0 -> 1 amount of volume to keep for close
    )

    def __init__(self, data):
        self.pendingbar = None

    def __call__(self, data):
        # Make a copy of the new bar and remove it from stream
        closebar = [data.lines[i][0] for i in range(data.size())]
        datadt = data.datetime.date()  # keep the date

        ohlbar = closebar[:]  # Make an open-high-low bar

        # Adjust volume
        ohlbar[data.Volume] = int(closebar[data.Volume] * (1.0 - self.p.cvol))

        dt = datetime.datetime.combine(datadt, data.p.sessionstart)
        ohlbar[data.DateTime] = data.date2num(dt)

        dt = datetime.datetime.combine(datadt, data.p.sessionend)
        closebar[data.DateTime] = data.date2num(dt)

        # Update stream
        data.backwards()  # remove the copied bar from stream
        # Overwrite the new data bar with our pending data - except start point
        if self.pendingbar is not None:
            data._updatebar(self.pendingbar)

        self.pendingbar = closebar  # update the pending bar to the new bar
        data._add2stack(ohlbar)  # Add the openbar to the stack for processing

        return False  # the length of the stream was not changed

    def last(self, data):
        '''Called when the data is no longer producing bars
        Can be called multiple times. It has the chance to (for example)
        produce extra bars'''
        if self.pendingbar is not None:
            data.backwards()  # remove delivered open bar
            data._add2stack(self.pendingbar)  # add remaining
            self.pendingbar = None  # No further action
            return True  # something delivered

        return False  # nothing delivered here


class DayStepsReplayFilter(bt.with_metaclass(bt.MetaParams, object)):
    '''
    Replays a bar in 2 steps:

      - In the 1st step the "Open-High-Low" could be evaluated to decide if to
        act on the close (the close is still there ... should not be evaluated)

      - If a "Close" order has been executed

        In this 1st fragment the "Close" is replaced through the "open" althoug
        other alternatives would be possible like high - low average, or an
        algorithm based on where the "close" ac

      and

      - Open-High-Low-Close
    '''
    params = (
        ('closevol', 0.5),  # 0 -> 1 amount of volume to keep for close
    )

    # replaying = True

    def __init__(self, data):
        self.lastdt = None
        pass

    def __call__(self, data):
        # Make a copy of the new bar and remove it from stream
        datadt = data.datetime.date()  # keep the date

        if self.lastdt == datadt:
            return False  # skip bars that come again in the filter

        self.lastdt = datadt  # keep ref to last seen bar

        # Make a copy of current data for ohlbar
        ohlbar = [data.lines[i][0] for i in range(data.size())]
        closebar = ohlbar[:]  # Make a copy for the close

        # replace close price with o-h-l average
        ohlprice = ohlbar[data.Open] + ohlbar[data.High] + ohlbar[data.Low]
        ohlbar[data.Close] = ohlprice / 3.0

        vol = ohlbar[data.Volume]  # adjust volume
        ohlbar[data.Volume] = vohl = int(vol * (1.0 - self.p.closevol))

        oi = ohlbar[data.OpenInterest]  # adjust open interst
        ohlbar[data.OpenInterest] = 0

        # Adjust times
        dt = datetime.datetime.combine(datadt, data.p.sessionstart)
        ohlbar[data.DateTime] = data.date2num(dt)

        # Ajust closebar to generate a single tick -> close price
        closebar[data.Open] = cprice = closebar[data.Close]
        closebar[data.High] = cprice
        closebar[data.Low] = cprice
        closebar[data.Volume] = vol - vohl
        ohlbar[data.OpenInterest] = oi

        # Adjust times
        dt = datetime.datetime.combine(datadt, data.p.sessionend)
        closebar[data.DateTime] = data.date2num(dt)

        # Update stream
        data.backwards(force=True)  # remove the copied bar from stream
        data._add2stack(ohlbar)  # add ohlbar to stack
        # Add 2nd part to stash to delay processing to next round
        data._add2stack(closebar, stash=True)

        return False  # the length of the stream was not changed


class St(bt.Strategy):
    params = (
        ('highperiod', 20),
        ('sellafter', 2),
        ('market', False),
    )

    def __init__(self):
        pass

    def start(self):
        self.callcounter = 0
        txtfields = list()
        txtfields.append('Calls')
        txtfields.append('Len Strat')
        txtfields.append('Len Data')
        txtfields.append('Datetime')
        txtfields.append('Open')
        txtfields.append('High')
        txtfields.append('Low')
        txtfields.append('Close')
        txtfields.append('Volume')
        txtfields.append('OpenInterest')
        print(','.join(txtfields))

        self.lcontrol = 0  # control if 1st or 2nd call
        self.inmarket = 0

        # Get the highest but delayed 1 ... to avoid "today"
        self.highest = btind.Highest(self.data.high,
                                     period=self.p.highperiod,
                                     subplot=False)

    def notify_order(self, order):
        if order.isbuy() and order.status == order.Completed:
            print('-- BUY Completed on:',
                  self.data.num2date(order.executed.dt).strftime('%Y-%m-%d'))
            print('-- BUY Price:', order.executed.price)

    def next(self):
        self.callcounter += 1

        txtfields = list()
        txtfields.append('%04d' % self.callcounter)
        txtfields.append('%04d' % len(self))
        txtfields.append('%04d' % len(self.data0))
        txtfields.append(self.data.datetime.datetime(0).isoformat())
        txtfields.append('%.2f' % self.data0.open[0])
        txtfields.append('%.2f' % self.data0.high[0])
        txtfields.append('%.2f' % self.data0.low[0])
        txtfields.append('%.2f' % self.data0.close[0])
        txtfields.append('%.2f' % self.data0.volume[0])
        txtfields.append('%.2f' % self.data0.openinterest[0])
        print(','.join(txtfields))

        if not self.position:
            if len(self.data) > self.lcontrol:
                if self.data.high == self.highest:  # today is highest!!!
                    print('High %.2f > Highest %.2f' %
                          (self.data.high[0], self.highest[0]))
                    print('LAST 19 highs:',
                          self.data.high.get(size=19, ago=-1))
                    print('-- BUY on date:',
                          self.data.datetime.date().strftime('%Y-%m-%d'))
                    ex = bt.Order.Market if self.p.market else bt.Order.Close
                    self.buy(exectype=ex)
                    self.inmarket = len(self)  # reset period in market

        else:  # in the market
            if (len(self) - self.inmarket) >= self.p.sellafter:
                self.sell()

        self.lcontrol = len(self.data)


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)
    cerebro.broker.set_eosbar(True)

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    if args.no_replay:
        data = bt.feeds.YahooFinanceCSVData(dataname=args.data,
                                            timeframe=bt.TimeFrame.Days,
                                            compression=1,
                                            **dkwargs)
        data.addfilter(DayStepsCloseFilter)
        cerebro.adddata(data)
    else:
        data = bt.feeds.YahooFinanceCSVData(dataname=args.data,
                                            timeframe=bt.TimeFrame.Minutes,
                                            compression=1,
                                            **dkwargs)
        data.addfilter(DayStepsReplayFilter)
        cerebro.replaydata(data, timeframe=bt.TimeFrame.Days, compression=1)

    cerebro.addstrategy(St,
                        sellafter=args.sellafter,
                        highperiod=args.highperiod,
                        market=args.market)

    cerebro.run(runonce=False, preload=False, oldbuysell=args.oldbuysell)
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pinkfish challenge')

    parser.add_argument('--data', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--sellafter', required=False, action='store',
                        type=int, default=2,
                        help=('Sell after so many bars in market'))

    parser.add_argument('--highperiod', required=False, action='store',
                        type=int, default=20,
                        help=('Period to look for the highest'))

    parser.add_argument('--no-replay', required=False, action='store_true',
                        help=('Use Replay + replay filter'))

    parser.add_argument('--market', required=False, action='store_true',
                        help=('Use Market exec instead of Close'))

    parser.add_argument('--oldbuysell', required=False, action='store_true',
                        help=('Old buysell plot behavior - ON THE PRICE'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example (escape the quotes if needed):\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/pivot-point/pivotpoint.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,)
#                        unicode_literals)

import backtrader as bt


class PivotPoint1(bt.Indicator):
    lines = ('p', 's1', 's2', 'r1', 'r2',)

    def __init__(self):
        h = self.data.high(-1)  # previous high
        l = self.data.low(-1)  # previous low
        c = self.data.close(-1)  # previous close

        self.lines.p = p = (h + l + c) / 3.0

        p2 = p * 2.0
        self.lines.s1 = p2 - h  # (p x 2) - high
        self.lines.r1 = p2 - l  # (p x 2) - low

        hilo = h - l
        self.lines.s2 = p - hilo  # p - (high - low)
        self.lines.r2 = p + hilo  # p + (high - low)


class PivotPoint(bt.Indicator):
    lines = ('p', 's1', 's2', 'r1', 'r2',)
    plotinfo = dict(subplot=False)

    def __init__(self):
        h = self.data.high  # current high
        l = self.data.low  # current high
        c = self.data.close  # current high

        self.lines.p = p = (h + l + c) / 3.0

        p2 = p * 2.0
        self.lines.s1 = p2 - h  # (p x 2) - high
        self.lines.r1 = p2 - l  # (p x 2) - low

        hilo = h - l
        self.lines.s2 = p - hilo  # p - (high - low)
        self.lines.r2 = p + hilo  # p + (high - low)


================================================
FILE: samples/pivot-point/ppsample.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.utils.flushfile


class St(bt.Strategy):
    params = (('usepp1', False),
              ('plot_on_daily', False))

    def __init__(self):
        autoplot = self.p.plot_on_daily
        self.pp = pp = bt.ind.PivotPoint(self.data1, _autoplot=autoplot)

    def next(self):
        txt = ','.join(
            ['%04d' % len(self),
             '%04d' % len(self.data0),
             '%04d' % len(self.data1),
             self.data.datetime.date(0).isoformat(),
             '%04d' % len(self.pp),
             '%.2f' % self.pp[0]])

        print(txt)


def runstrat():
    args = parse_args()

    cerebro = bt.Cerebro()
    data = btfeeds.BacktraderCSVData(dataname=args.data)
    cerebro.adddata(data)
    cerebro.resampledata(data, timeframe=bt.TimeFrame.Months)

    cerebro.addstrategy(St,
                        usepp1=args.usepp1,
                        plot_on_daily=args.plot_on_daily)
    cerebro.run(runonce=False)
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pivot point and cross plotting')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Data to be read in')

    parser.add_argument('--plot', required=False, action='store_true',
                        help=('Plot the result'))

    parser.add_argument('--plot-on-daily', required=False, action='store_true',
                        help=('Plot the indicator on the daily data'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/plot-same-axis/plot-same-axis.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind


class PlotStrategy(bt.Strategy):
    '''
    The strategy does nothing but create indicators for plotting purposes
    '''
    params = dict(
        smasubplot=False,  # default for Moving averages
        nomacdplot=False,
        rsioverstoc=False,
        rsioversma=False,
        stocrsi=False,
        stocrsilabels=False,
    )

    def __init__(self):
        sma = btind.SMA(subplot=self.params.smasubplot)

        macd = btind.MACD()
        # In SMA we passed plot directly as kwarg, here the plotinfo.plot
        # attribute is changed - same effect
        macd.plotinfo.plot = not self.params.nomacdplot

        # Let's put rsi on stochastic/sma or the other way round
        stoc = btind.Stochastic()
        rsi = btind.RSI()
        if self.params.stocrsi:
            stoc.plotinfo.plotmaster = rsi
            stoc.plotinfo.plotlinelabels = self.p.stocrsilabels
        elif self.params.rsioverstoc:
            rsi.plotinfo.plotmaster = stoc
        elif self.params.rsioversma:
            rsi.plotinfo.plotmaster = sma


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add the strategy
    cerebro.addstrategy(PlotStrategy,
                        smasubplot=args.smasubplot,
                        nomacdplot=args.nomacdplot,
                        rsioverstoc=args.rsioverstoc,
                        rsioversma=args.rsioversma,
                        stocrsi=args.stocrsi,
                        stocrsilabels=args.stocrsilabels)

    # And run it
    cerebro.run(stdstats=args.stdstats)

    # Plot
    cerebro.plot(numfigs=args.numfigs, volume=False)


def parse_args():
    parser = argparse.ArgumentParser(description='Plotting Example')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--stdstats', '-st', action='store_true',
                        help='Show standard observers')

    parser.add_argument('--smasubplot', '-ss', action='store_true',
                        help='Put SMA on own subplot/axis')

    parser.add_argument('--nomacdplot', '-nm', action='store_true',
                        help='Hide the indicator from the plot')

    group = parser.add_mutually_exclusive_group(required=False)

    group.add_argument('--rsioverstoc', '-ros', action='store_true',
                       help='Plot the RSI indicator on the Stochastic axis')

    group.add_argument('--rsioversma', '-rom', action='store_true',
                       help='Plot the RSI indicator on the SMA axis')

    group.add_argument('--stocrsi', '-strsi', action='store_true',
                       help='Plot the Stochastic indicator on the RSI axis')

    parser.add_argument('--stocrsilabels', action='store_true',
                        help='Plot line names instead of indicator name')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/psar/psar-intraday.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = (
    )

    def __init__(self):
        self.psar0 = bt.ind.ParabolicSAR(self.data0)
        self.psar1 = bt.ind.ParabolicSAR(self.data1)
        pass

    def next(self):
        txt = []
        txt.append('{:04d}'.format(len(self)))
        txt.append('{:04d}'.format(len(self.data0)))
        txt.append(self.data0.datetime.datetime())
        txt.append('{:.2f}'.format(self.data0.close[0]))
        txt.append('PSAR')
        txt.append('{:04.2f}'.format(self.psar0[0]))
        if len(self.data1):
            txt.append('{:04d}'.format(len(self.data1)))
            txt.append(self.data1.datetime.datetime())
            txt.append('{:.2f}'.format(self.data1.close[0]))
            txt.append('PSAR')
            txt.append('{:04.2f}'.format(self.psar1[0]))

        print(','.join(str(x) for x in txt))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict(
        timeframe=bt.TimeFrame.Minutes,
        compression=5,
    )

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    cerebro.resampledata(data0, timeframe=bt.TimeFrame.Minutes, compression=15)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas//2006-min-005.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/psar/psar.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = (
    )

    def __init__(self):
        self.psar = bt.ind.ParabolicSAR(period=20)
        pass

    def next(self):
        txt = ['{:4d}'.format(len(self))]
        txt.append('{}'.format(self.datetime.date()))
        txt.append('{:.2f}'.format(self.psar[0]))
        print(','.join(txt))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/pyfolio2/backtrader-pyfolio.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from __future__ import (absolute_import, division, print_function,\n",
    "                        unicode_literals)\n",
    "\n",
    "\n",
    "import argparse\n",
    "import collections\n",
    "import datetime\n",
    "\n",
    "\n",
    "import backtrader as bt\n",
    "\n",
    "\n",
    "class St(bt.SignalStrategy):\n",
    "    params = (\n",
    "        ('pfast', 13),\n",
    "        ('pslow', 50),\n",
    "        ('printdata', False),\n",
    "        ('stake', 1000),\n",
    "        ('short', False),\n",
    "    )\n",
    "\n",
    "    def __init__(self):\n",
    "        self.sfast = bt.indicators.SMA(period=self.p.pfast)\n",
    "        self.sslow = bt.indicators.SMA(period=self.p.pslow)\n",
    "        self.cover = bt.indicators.CrossOver(self.sfast, self.sslow)\n",
    "        if self.p.short:\n",
    "            self.signal_add(bt.SIGNAL_LONGSHORT, self.cover)\n",
    "        else:\n",
    "            self.signal_add(bt.SIGNAL_LONG, self.cover)\n",
    "\n",
    "    def start(self):\n",
    "        super(self.__class__, self).start()\n",
    "        if self.p.printdata:\n",
    "            txtfields = list()\n",
    "            txtfields.append('Len')\n",
    "            txtfields.append('Datetime')\n",
    "            txtfields.append('Open')\n",
    "            txtfields.append('High')\n",
    "            txtfields.append('Low')\n",
    "            txtfields.append('Close')\n",
    "            txtfields.append('Volume')\n",
    "            txtfields.append('OpenInterest')\n",
    "            print(','.join(txtfields))\n",
    "\n",
    "    def next(self):\n",
    "        super(self.__class__, self).next()\n",
    "        if self.p.printdata:\n",
    "            # Print only 1st data ... is just a check that things are running\n",
    "            txtfields = list()\n",
    "            txtfields.append('%04d' % len(self))\n",
    "            txtfields.append(self.data.datetime.datetime(0).isoformat())\n",
    "            txtfields.append('%.2f' % self.data0.open[0])\n",
    "            txtfields.append('%.2f' % self.data0.high[0])\n",
    "            txtfields.append('%.2f' % self.data0.low[0])\n",
    "            txtfields.append('%.2f' % self.data0.close[0])\n",
    "            txtfields.append('%.2f' % self.data0.volume[0])\n",
    "            txtfields.append('%.2f' % self.data0.openinterest[0])\n",
    "            print(','.join(txtfields))\n",
    "\n",
    "\n",
    "_TFRAMES = collections.OrderedDict(\n",
    "    (\n",
    "        ('minutes', bt.TimeFrame.Minutes),\n",
    "        ('days', bt.TimeFrame.Days),\n",
    "        ('weeks', bt.TimeFrame.Weeks),\n",
    "        ('months', bt.TimeFrame.Months),\n",
    "        ('years', bt.TimeFrame.Years),\n",
    "    )\n",
    ")\n",
    "\n",
    "_TFS = _TFRAMES.keys()\n",
    "\n",
    "\n",
    "def runstrat(args=None):\n",
    "    args = parse_args(args)\n",
    "\n",
    "    cerebro = bt.Cerebro()\n",
    "    cerebro.broker.set_cash(args.cash)\n",
    "\n",
    "    dkwargs = dict()\n",
    "    if args.fromdate:\n",
    "        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n",
    "        dkwargs['fromdate'] = fromdate\n",
    "\n",
    "    if args.todate:\n",
    "        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n",
    "        dkwargs['todate'] = todate\n",
    "\n",
    "    if args.timeframe:\n",
    "        dkwargs['timeframe'] = _TFRAMES[args.timeframe]\n",
    "\n",
    "    if args.compression:\n",
    "        dkwargs['compression'] = args.compression\n",
    "\n",
    "    # data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\n",
    "    data0 = bt.feeds.VCData(dataname=args.data0, historical=True, **dkwargs)\n",
    "    cerebro.adddata(data0, name='Data0')\n",
    "\n",
    "    cerebro.addstrategy(St, short=args.short, printdata=args.printdata)\n",
    "    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)\n",
    "\n",
    "    # Own analyzerset\n",
    "    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)\n",
    "    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years)\n",
    "    cerebro.addanalyzer(bt.analyzers.SQN,)\n",
    "\n",
    "    if args.pyfolio:\n",
    "        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio',\n",
    "                            timeframe=_TFRAMES[args.pftimeframe])\n",
    "\n",
    "    if args.printout:\n",
    "        print('Start run')\n",
    "    results = cerebro.run()\n",
    "    if args.printout:\n",
    "        print('End Run')\n",
    "    strat = results[0]\n",
    "\n",
    "    # Results of own analyzers\n",
    "    al = strat.analyzers.timereturn\n",
    "    print('-- Time Return:')\n",
    "    for k, v in al.get_analysis().items():\n",
    "        print('{}: {}'.format(k, v))\n",
    "\n",
    "    al = strat.analyzers.sharperatio\n",
    "    print('-- Sharpe Ratio:')\n",
    "    for k, v in al.get_analysis().items():\n",
    "        print('{}: {}'.format(k, v))\n",
    "\n",
    "    al = strat.analyzers.sqn\n",
    "    print('-- SQN:')\n",
    "    for k, v in al.get_analysis().items():\n",
    "        print('{}: {}'.format(k, v))\n",
    "\n",
    "    if args.pyfolio:\n",
    "        pyfoliozer = strat.analyzers.getbyname('pyfolio',)\n",
    "\n",
    "        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\n",
    "        if args.printout:\n",
    "            print('-- RETURNS')\n",
    "            print(returns)\n",
    "            print('-- POSITIONS')\n",
    "            print(positions)\n",
    "            print('-- TRANSACTIONS')\n",
    "            print(transactions)\n",
    "            print('-- GROSS LEVERAGE')\n",
    "            print(gross_lev)\n",
    "\n",
    "        if True:\n",
    "            import pyfolio as pf\n",
    "            pf.create_full_tear_sheet(\n",
    "                returns,\n",
    "                positions=positions,\n",
    "                transactions=transactions,\n",
    "                gross_lev=gross_lev,\n",
    "                round_trips=True)\n",
    "\n",
    "    if args.plot:\n",
    "        pkwargs = dict(style='bar')\n",
    "        if args.plot is not True:  # evals to True but is not True\n",
    "            pkwargs = eval('dict(' + args.plot + ')')  # args were passed\n",
    "\n",
    "        cerebro.plot(**pkwargs)\n",
    "\n",
    "\n",
    "def parse_args(pargs=None):\n",
    "\n",
    "    parser = argparse.ArgumentParser(\n",
    "        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n",
    "        description='Sample for pivot point and cross plotting')\n",
    "\n",
    "    parser.add_argument('--data0', required=True,\n",
    "                        # default='../../datas/yhoo-1996-2015.txt',\n",
    "                        help='Data to be read in')\n",
    "\n",
    "    parser.add_argument('--timeframe', required=False,\n",
    "                        default=next(iter(_TFS)), choices=_TFS,\n",
    "                        help='Starting date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--compression', required=False,\n",
    "                        default=1, type=int,\n",
    "                        help='Starting date in YYYY-MM-DD format')\n",
    "\n",
    "    if False:\n",
    "        parser.add_argument('--data1', required=False,\n",
    "                            default='../../datas/orcl-1995-2014.txt',\n",
    "                            help='Data to be read in')\n",
    "\n",
    "    parser.add_argument('--fromdate', required=False,\n",
    "                        default='2013-01-01',\n",
    "                        help='Starting date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--todate', required=False,\n",
    "                        default='2015-12-31',\n",
    "                        help='Ending date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--stake', required=False, action='store',\n",
    "                        default=10, type=int,\n",
    "                        help=('Stake size'))\n",
    "\n",
    "    parser.add_argument('--short', required=False, action='store_true',\n",
    "                        help=('Go short too'))\n",
    "\n",
    "    parser.add_argument('--cash', required=False, action='store',\n",
    "                        type=float, default=50000,\n",
    "                        help=('Cash to start with'))\n",
    "\n",
    "    parser.add_argument('--pyfolio', required=False, action='store_true',\n",
    "                        help=('Do pyfolio things'))\n",
    "\n",
    "    parser.add_argument('--pftimeframe', required=False,\n",
    "                        default='days', choices=_TFS,\n",
    "                        help='Starting date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--printout', required=False, action='store_true',\n",
    "                        help=('Print infos'))\n",
    "\n",
    "    parser.add_argument('--printdata', required=False, action='store_true',\n",
    "                        help=('Print data lines'))\n",
    "\n",
    "    # Plot options\n",
    "    parser.add_argument('--plot', '-p', nargs='?', required=False,\n",
    "                        metavar='kwargs', const=True,\n",
    "                        help=('Plot the read data applying any kwargs passed\\n'\n",
    "                              '\\n'\n",
    "                              'For example:\\n'\n",
    "                              '\\n'\n",
    "                              '  --plot style=\"candle\" (to plot candles)\\n'))\n",
    "\n",
    "    if pargs is not None:\n",
    "        return parser.parse_args(pargs)\n",
    "\n",
    "    return parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "UnboundLocalError",
     "evalue": "local variable 'txt' referenced before assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mUnboundLocalError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-3298d240ea06>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mrunstrat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'--data0 015ES --timeframe days --compression 1 --pyfolio --printout --cash 200000 --short'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-6-c5b3d4ae126d>\u001b[0m in \u001b[0;36mrunstrat\u001b[0;34m(args)\u001b[0m\n\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     95\u001b[0m     \u001b[0;31m# data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 96\u001b[0;31m     \u001b[0mdata0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfeeds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mVCData\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhistorical\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mdkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     97\u001b[0m     \u001b[0mcerebro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madddata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Data0'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     98\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\metabase.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m     85\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdonew\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdopreinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 87\u001b[0;31m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdoinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     88\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdopostinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\metabase.py\u001b[0m in \u001b[0;36mdoinit\u001b[0;34m(cls, _obj, *args, **kwargs)\u001b[0m\n\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     76\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mdoinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m         \u001b[0m_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     78\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\feeds\\vcdata.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    245\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstore\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvcstore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mVCStore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m         \u001b[0;31m# Correct a copy past directly from VisualChart\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\stores\\vcstore.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m    180\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_singleton\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m             cls._singleton = (\n\u001b[0;32m--> 182\u001b[0;31m                 super(MetaSingleton, cls).__call__(*args, **kwargs))\n\u001b[0m\u001b[1;32m    183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    184\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_singleton\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\metabase.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m     85\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdonew\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdopreinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 87\u001b[0;31m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdoinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     88\u001b[0m         \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdopostinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\metabase.py\u001b[0m in \u001b[0;36mdoinit\u001b[0;34m(cls, _obj, *args, **kwargs)\u001b[0m\n\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     76\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mdoinit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m         \u001b[0m_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     78\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32md:\\dro\\01-docs\\01-home\\src\\backtrader\\backtrader\\stores\\vcstore.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    305\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    306\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_load_comtypes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 307\u001b[0;31m             \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_RT_TYPELIB\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtxt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    308\u001b[0m             \u001b[0mtxt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Failed to import comtypes'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    309\u001b[0m             \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_RT_COMTYPES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtxt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mUnboundLocalError\u001b[0m: local variable 'txt' referenced before assignment"
     ]
    }
   ],
   "source": [
    "runstrat('--data0 015ES --timeframe days --compression 1 --pyfolio --printout --cash 200000 --short'.split())"
   ]
  }
 ],
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================================================
FILE: samples/pyfolio2/pyfoliotest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import collections
import datetime


import backtrader as bt


class St(bt.SignalStrategy):
    params = (
        ('pfast', 13),
        ('pslow', 50),
        ('printdata', False),
        ('stake', 1000),
        ('short', False),
    )

    def __init__(self):
        self.sfast = bt.indicators.SMA(period=self.p.pfast)
        self.sslow = bt.indicators.SMA(period=self.p.pslow)
        self.cover = bt.indicators.CrossOver(self.sfast, self.sslow)
        if self.p.short:
            self.signal_add(bt.SIGNAL_LONGSHORT, self.cover)
        else:
            self.signal_add(bt.SIGNAL_LONG, self.cover)

    def start(self):
        super(self.__class__, self).start()
        if self.p.printdata:
            txtfields = list()
            txtfields.append('Len')
            txtfields.append('Datetime')
            txtfields.append('Open')
            txtfields.append('High')
            txtfields.append('Low')
            txtfields.append('Close')
            txtfields.append('Volume')
            txtfields.append('OpenInterest')
            print(','.join(txtfields))

    def next(self):
        super(self.__class__, self).next()
        if self.p.printdata:
            # Print only 1st data ... is just a check that things are running
            txtfields = list()
            txtfields.append('%04d' % len(self))
            txtfields.append(self.data.datetime.datetime(0).isoformat())
            txtfields.append('%.2f' % self.data0.open[0])
            txtfields.append('%.2f' % self.data0.high[0])
            txtfields.append('%.2f' % self.data0.low[0])
            txtfields.append('%.2f' % self.data0.close[0])
            txtfields.append('%.2f' % self.data0.volume[0])
            txtfields.append('%.2f' % self.data0.openinterest[0])
            print(','.join(txtfields))


_TFRAMES = collections.OrderedDict(
    (
        ('minutes', bt.TimeFrame.Minutes),
        ('days', bt.TimeFrame.Days),
        ('weeks', bt.TimeFrame.Weeks),
        ('months', bt.TimeFrame.Months),
        ('years', bt.TimeFrame.Years),
    )
)

_TFS = _TFRAMES.keys()


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    if args.timeframe:
        dkwargs['timeframe'] = _TFRAMES[args.timeframe]

    if args.compression:
        dkwargs['compression'] = args.compression

    # data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)
    data0 = bt.feeds.VCData(dataname=args.data0, historical=True, **dkwargs)
    cerebro.adddata(data0, name='Data0')

    cerebro.addstrategy(St, short=args.short, printdata=args.printdata)
    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)

    # Own analyzerset
    cerebro.addanalyzer(bt.analyzers.TimeReturn, timeframe=bt.TimeFrame.Years)
    cerebro.addanalyzer(bt.analyzers.SharpeRatio, timeframe=bt.TimeFrame.Years)
    cerebro.addanalyzer(bt.analyzers.SQN,)

    if args.pyfolio:
        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio',
                            timeframe=_TFRAMES[args.pftimeframe])

    if args.printout:
        print('Start run')
    results = cerebro.run()
    if args.printout:
        print('End Run')
    strat = results[0]

    # Results of own analyzers
    al = strat.analyzers.timereturn
    print('-- Time Return:')
    for k, v in al.get_analysis().items():
        print('{}: {}'.format(k, v))

    al = strat.analyzers.sharperatio
    print('-- Sharpe Ratio:')
    for k, v in al.get_analysis().items():
        print('{}: {}'.format(k, v))

    al = strat.analyzers.sqn
    print('-- SQN:')
    for k, v in al.get_analysis().items():
        print('{}: {}'.format(k, v))

    if args.pyfolio:
        pyfoliozer = strat.analyzers.getbyname('pyfolio',)

        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()
        if args.printout:
            print('-- RETURNS')
            print(returns)
            print('-- POSITIONS')
            print(positions)
            print('-- TRANSACTIONS')
            print(transactions)
            print('-- GROSS LEVERAGE')
            print(gross_lev)

        if True:
            import pyfolio as pf
            pf.create_full_tear_sheet(
                returns,
                positions=positions,
                transactions=transactions,
                gross_lev=gross_lev,
                round_trips=True)

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            pkwargs = eval('dict(' + args.plot + ')')  # args were passed

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pivot point and cross plotting')

    parser.add_argument('--data0', required=True,
                        help='Data to be read in')

    parser.add_argument('--timeframe', required=False,
                        default=_TFS[0], choices=_TFS,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--compression', required=False,
                        default=1, type=int,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--fromdate', required=False,
                        default='2013-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2015-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--stake', required=False, action='store',
                        default=10, type=int,
                        help=('Stake size'))

    parser.add_argument('--short', required=False, action='store_true',
                        help=('Go short too'))

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--pyfolio', required=False, action='store_true',
                        help=('Do pyfolio things'))

    parser.add_argument('--pftimeframe', required=False,
                        default='days', choices=_TFS,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--printout', required=False, action='store_true',
                        help=('Print infos'))

    parser.add_argument('--printdata', required=False, action='store_true',
                        help=('Print data lines'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/pyfoliotest/backtrader-pyfolio.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import (absolute_import, division, print_function,\n",
    "                        unicode_literals)\n",
    "\n",
    "\n",
    "import argparse\n",
    "import datetime\n",
    "import random\n",
    "\n",
    "import backtrader as bt\n",
    "\n",
    "\n",
    "class St(bt.Strategy):\n",
    "    params = (\n",
    "        ('printout', False),\n",
    "        ('stake', 1000),\n",
    "    )\n",
    "\n",
    "    def __init__(self):\n",
    "        pass\n",
    "\n",
    "    def start(self):\n",
    "        if self.p.printout:\n",
    "            txtfields = list()\n",
    "            txtfields.append('Len')\n",
    "            txtfields.append('Datetime')\n",
    "            txtfields.append('Open')\n",
    "            txtfields.append('High')\n",
    "            txtfields.append('Low')\n",
    "            txtfields.append('Close')\n",
    "            txtfields.append('Volume')\n",
    "            txtfields.append('OpenInterest')\n",
    "            print(','.join(txtfields))\n",
    "\n",
    "    def next(self):\n",
    "        if self.p.printout:\n",
    "            # Print only 1st data ... is just a check that things are running\n",
    "            txtfields = list()\n",
    "            txtfields.append('%04d' % len(self))\n",
    "            txtfields.append(self.data.datetime.datetime(0).isoformat())\n",
    "            txtfields.append('%.2f' % self.data0.open[0])\n",
    "            txtfields.append('%.2f' % self.data0.high[0])\n",
    "            txtfields.append('%.2f' % self.data0.low[0])\n",
    "            txtfields.append('%.2f' % self.data0.close[0])\n",
    "            txtfields.append('%.2f' % self.data0.volume[0])\n",
    "            txtfields.append('%.2f' % self.data0.openinterest[0])\n",
    "            print(','.join(txtfields))\n",
    "\n",
    "        # Data 0\n",
    "        for data in self.datas:\n",
    "            toss = random.randint(1, 10)\n",
    "            curpos = self.getposition(data)\n",
    "            if curpos.size:\n",
    "                if toss > 5:\n",
    "                    size = curpos.size // 2\n",
    "                    self.sell(data=data, size=size)\n",
    "                    if self.p.printout:\n",
    "                        print('SELL {} @%{}'.format(size, data.close[0]))\n",
    "\n",
    "            elif toss < 5:\n",
    "                self.buy(data=data, size=self.p.stake)\n",
    "                if self.p.printout:\n",
    "                    print('BUY  {} @%{}'.format(self.p.stake, data.close[0]))\n",
    "\n",
    "\n",
    "def runstrat(args=None):\n",
    "    args = parse_args(args)\n",
    "\n",
    "    cerebro = bt.Cerebro()\n",
    "    cerebro.broker.set_cash(args.cash)\n",
    "\n",
    "    dkwargs = dict()\n",
    "    if args.fromdate:\n",
    "        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')\n",
    "        dkwargs['fromdate'] = fromdate\n",
    "\n",
    "    if args.todate:\n",
    "        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')\n",
    "        dkwargs['todate'] = todate\n",
    "\n",
    "    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs)\n",
    "    cerebro.adddata(data0, name='Data0')\n",
    "\n",
    "    data1 = bt.feeds.BacktraderCSVData(dataname=args.data1, **dkwargs)\n",
    "    cerebro.adddata(data1, name='Data1')\n",
    "\n",
    "    data2 = bt.feeds.BacktraderCSVData(dataname=args.data2, **dkwargs)\n",
    "    cerebro.adddata(data2, name='Data2')\n",
    "\n",
    "    cerebro.addstrategy(St, printout=args.printout)\n",
    "    if not args.no_pyfolio:\n",
    "        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio')\n",
    "\n",
    "    results = cerebro.run()\n",
    "    if not args.no_pyfolio:\n",
    "        strat = results[0]\n",
    "        pyfoliozer = strat.analyzers.getbyname('pyfolio')\n",
    "\n",
    "        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\n",
    "        if args.printout:\n",
    "            print('-- RETURNS')\n",
    "            print(returns)\n",
    "            print('-- POSITIONS')\n",
    "            print(positions)\n",
    "            print('-- TRANSACTIONS')\n",
    "            print(transactions)\n",
    "            print('-- GROSS LEVERAGE')\n",
    "            print(gross_lev)\n",
    "\n",
    "        import pyfolio as pf\n",
    "        pf.create_full_tear_sheet(\n",
    "            returns,\n",
    "            positions=positions,\n",
    "            transactions=transactions,\n",
    "            gross_lev=gross_lev,\n",
    "            live_start_date='2005-05-01',\n",
    "            round_trips=True)\n",
    "\n",
    "    if args.plot:\n",
    "        cerebro.plot(style=args.plot_style)\n",
    "\n",
    "\n",
    "def parse_args(args=None):\n",
    "\n",
    "    parser = argparse.ArgumentParser(\n",
    "        formatter_class=argparse.ArgumentDefaultsHelpFormatter,\n",
    "        description='Sample for pivot point and cross plotting')\n",
    "\n",
    "    parser.add_argument('--data0', required=False,\n",
    "                        default='../../datas/yhoo-1996-2015.txt',\n",
    "                        help='Data to be read in')\n",
    "\n",
    "    parser.add_argument('--data1', required=False,\n",
    "                        default='../../datas/orcl-1995-2014.txt',\n",
    "                        help='Data to be read in')\n",
    "\n",
    "    parser.add_argument('--data2', required=False,\n",
    "                        default='../../datas/nvda-1999-2014.txt',\n",
    "                        help='Data to be read in')\n",
    "\n",
    "    parser.add_argument('--fromdate', required=False,\n",
    "                        default='2005-01-01',\n",
    "                        help='Starting date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--todate', required=False,\n",
    "                        default='2006-12-31',\n",
    "                        help='Ending date in YYYY-MM-DD format')\n",
    "\n",
    "    parser.add_argument('--printout', required=False, action='store_true',\n",
    "                        help=('Print data lines'))\n",
    "\n",
    "    parser.add_argument('--cash', required=False, action='store',\n",
    "                        type=float, default=50000,\n",
    "                        help=('Cash to start with'))\n",
    "\n",
    "    parser.add_argument('--plot', required=False, action='store_true',\n",
    "                        help=('Plot the result'))\n",
    "\n",
    "    parser.add_argument('--plot-style', required=False, action='store',\n",
    "                        default='bar', choices=['bar', 'candle', 'line'],\n",
    "                        help=('Plot style'))\n",
    "\n",
    "    parser.add_argument('--no-pyfolio', required=False, action='store_true',\n",
    "                        help=('Do not do pyfolio things'))\n",
    "\n",
    "    import sys\n",
    "    aargs = args if args is not None else sys.argv[1:]\n",
    "    return parser.parse_args(aargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Entire data start date: 2005-01-03\n",
      "Entire data end date: 2006-12-29\n",
      "\n",
      "\n",
      "Out-of-Sample Months: 20\n",
      "Backtest Months: 3\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Performance statistics</th>\n",
       "      <th>All history</th>\n",
       "      <th>Backtest</th>\n",
       "      <th>Out of sample</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>annual_return</th>\n",
       "      <td>0.13</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>annual_volatility</th>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sharpe_ratio</th>\n",
       "      <td>1.02</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>calmar_ratio</th>\n",
       "      <td>1.19</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stability_of_timeseries</th>\n",
       "      <td>0.94</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max_drawdown</th>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>omega_ratio</th>\n",
       "      <td>1.29</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sortino_ratio</th>\n",
       "      <td>1.63</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skew</th>\n",
       "      <td>0.53</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kurtosis</th>\n",
       "      <td>13.97</td>\n",
       "      <td>5.91</td>\n",
       "      <td>15.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tail_ratio</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>common_sense_ratio</th>\n",
       "      <td>1.45</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>information_ratio</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alpha</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta</th>\n",
       "      <td>0.39</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Performance statistics   All history  Backtest  Out of sample\n",
       "annual_return                   0.13      0.01           0.15\n",
       "annual_volatility               0.13      0.13           0.13\n",
       "sharpe_ratio                    1.02      0.17           1.19\n",
       "calmar_ratio                    1.19      0.29           1.42\n",
       "stability_of_timeseries         0.94      0.18           0.95\n",
       "max_drawdown                   -0.11     -0.05          -0.11\n",
       "omega_ratio                     1.29      1.04           1.35\n",
       "sortino_ratio                   1.63      0.26           1.91\n",
       "skew                            0.53      0.57           0.53\n",
       "kurtosis                       13.97      5.91          15.41\n",
       "tail_ratio                      1.28      1.23           1.43\n",
       "common_sense_ratio              1.45      1.25           1.65\n",
       "information_ratio               0.01      0.05           0.00\n",
       "alpha                           0.09      0.04           0.09\n",
       "beta                            0.39      0.18           0.45"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Worst Drawdown Periods</th>\n",
       "      <th>net drawdown in %</th>\n",
       "      <th>peak date</th>\n",
       "      <th>valley date</th>\n",
       "      <th>recovery date</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.90</td>\n",
       "      <td>2006-04-06</td>\n",
       "      <td>2006-06-13</td>\n",
       "      <td>2006-10-26</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.28</td>\n",
       "      <td>2005-04-21</td>\n",
       "      <td>2005-06-27</td>\n",
       "      <td>2005-10-31</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.75</td>\n",
       "      <td>2005-11-25</td>\n",
       "      <td>2005-12-30</td>\n",
       "      <td>2006-01-11</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.62</td>\n",
       "      <td>2005-01-18</td>\n",
       "      <td>2005-02-09</td>\n",
       "      <td>2005-02-18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.12</td>\n",
       "      <td>2006-11-30</td>\n",
       "      <td>2006-12-26</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Worst Drawdown Periods net drawdown in %  peak date valley date recovery date  \\\n",
       "0                                  10.90 2006-04-06  2006-06-13    2006-10-26   \n",
       "1                                   7.28 2005-04-21  2005-06-27    2005-10-31   \n",
       "2                                   6.75 2005-11-25  2005-12-30    2006-01-11   \n",
       "3                                   4.62 2005-01-18  2005-02-09    2005-02-18   \n",
       "4                                   3.12 2006-11-30  2006-12-26           NaT   \n",
       "\n",
       "Worst Drawdown Periods duration  \n",
       "0                           146  \n",
       "1                           138  \n",
       "2                            34  \n",
       "3                            24  \n",
       "4                           NaN  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "[-0.016 -0.036]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ee++FVDXVD+g8duATJVNDPbwxRVMxhQsu+AC//e2Nfd73hS98hh//+F9HeEQi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OyON9/H27u/lxdvPs+zY09XzO/3765aBudQnThUJ3XOOvYG9q/YXvXcznp2+Xfz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\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NvVRNmwbOdyS1Q9XQ5DiV+jQ7R1dAoSgDFCwwGSRicZDXYXGR12Ph7Jxsfv26f3j6+Qu5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CaQfN\n3zGwS0uYy9WbUPuWd9qkZmRMAyccTeCoQ3F88mF2EqC9vWvEIqPGjpQqENPvF5IcOw7d6xUvYCB2\n1p9QBw7Kqm2UwmEShxwKkEXZkteuwXvDNSLw1nUcH8/Ce91VFOw/ieLBFfgv+PMWERRllXg2bIZg\nUaa5nn0K13+eEGPoYWCnlZZZCQnd4ejSYTBFhpTQ8mzH0Owx1tAgnpFeIFFSLIpaWoauKJ1qPOVN\nVXjvus0YZPYrVs8vEIFrBn3T9u03JMftKSi4hsOrFRahFxZhW74M94P3UrjnbgRO+wPe22+h4IBJ\nKCtCWRQ929KfkOJGQ3RNw/79Qgr3n0j+YQfive1m65rav5mPOmQoyT3GA+C5/RZxXqJRSzxFHTgI\nXVFQVobg/PPR8/IIX3+Tlc23f7eg52hZe7uobSpNI3ZWjV0qhfONV3HMfA/FQN3dD9/fyTmUmhqt\nWjWA6OnTUMv64nn04W53LdfW/HLlwGQyTYXrBWInb6pCDrejDg2KYL4DYic1NBA47iicr71M3rln\nUXDogRYqZPUG8/nFXBGJwEknUTRqCPknHiPef8kkRXvuise8z8ztGkFzx+BbamzA/t0CdJsNecO6\nrLo1qa0V36UXEDj2CLy33YyyqQrHBzPRPV6kaATf36/v8XHnNDVlvTtSe44nOWGSlcCQW1vQjL+V\nFcsBsM/7Et+Vl5IaPoK2R55IjzOVwp5JH66txXvdVRSOHoGyZDHKksVd1l7KRkK1IxXTNKUqjVs4\nM9A5+7y5KMa7wRTGsvbf3ETeKcdniRD1xuSWZkssyaLQGgkAtV8liaOmiMRQIoFcU42k62gV/axk\nkbJqJfmHHYTr5eeJnXwajfO/J3bm2biffAz/n8+kcLfhgm7d3k5g6gk45s3Fe+tNKIt/RPl5JfkH\n7UPBfhOsZ0RuyqRi9umCipkxxyZMxM5vzcNZrCdVxXPHreRPPhj/5RfhufOfBM6cSsHee3YrtGKb\nPw/bwm/TXySTVjsY+1df9uIMbz+zbXkVYcFg8DLgbkSAVAd09K63Je8gCsjBYFAOhUKZ+3ECuYis\nUWMZHdbFWD/X8u62Z9m096fSP28AN068mZZ4i4XYORQHg/OHsrIpRF20jqSWtFoJZFqpp5TacC2x\nVIx7v72TQwdNZkzpONoSrVz52SVousbYsj34rmYBx7x1GBW+fqR0lVgqyoIaQUuZ0DeNRmxoW8/Q\ngmHc8OVfscl2UloSpQMV80ejxcKmsJgMOiJ2fnseOjormkIUugo5deQZTCyfxInvTuGYtw9n2qiz\nuHKPa5AkiXu/vZPvNy+kIVpPfbSOYQVBrhl/A/Or57Gw9lvWt63jx7pF9PNVcse+9/LOqjf5YO0M\nbpp0C5LxsmuON9PX2xe3zU1LvNmqQzxrlz+j6zrXfnkV53w4jcd+9x9Oe/8kggXDqfT35+2f38Bj\n8+Kxe+jnq2Rs2R68seJVmuNNnDDsJHbKH4yu66i6yqrmlRQ4C5AkiZZ4i1FLF2dd61oABgaMwE5x\nEUvFWN8mvh9RNIrVLT8TTrZT5C6iNlJLmYF82n5eSd55ZwOQ2Gc/HF98hnPGO1bdjy7LxKadRWrk\nzngevA9l/Vp0txvXKy+iezwk9jtQUFUSCVFXluFs2Bb/iNq3HFuGw96Rimk6gqlRu8Kbr6cRO1UV\nLz6v15r0zIya/VMhVGtb+F2WA2L7ej6pCRMtVCJ+3Am4pz+G/dtvSPz+sE77jB89BeeMd8g/6lCo\nqaYgY1y6w4EWyMd39WVIup6WN86w2NTTcb3+Cu5n/0ty191xvvd2+jjjCfyXXYirQ52ULkmkRu9u\nOXX2eXPx3H836oCBRM67EMcHM7KoFnIHRc7GbxejrF+H89WXsC/4Gsc7b5J34blI0aigzzkc6E4n\n6pBh6IEAWiAfPRCw2jAk9xYdWzLpZfLGDaR2G01q19HoDgf2BV+TOPxIQDj73rtvJzVqFzxPCB2m\n8GGHZx2T1n8g8rtvG01wlaxljvdn4L/8QsJXXYf/qktpeeYlEodORgktx3PfnShr16AVFWP/aq5w\nwsoroCCffJdH1A14vYI2GYkIWmXG9dYDAdHkNpkUjYgjYWInC6Fg3euFsHBoIQcVMy+AbATCSnU1\namVnRFYrLkGurUHZuAHdZsNx8vEkd9mN6F8uxPH+DFzvvImWF0ArLwdJssam9S03FA7NGrskyuqf\nkVuaSY3dwwqqUoOHoJWWEZ98JO4nHkVqbUF3uQUissuu2H5chGP2R8T+eI64Fq++hOexf+F65QVi\np5yO518PoLvdJMeNJ3XUFFyvvYzcUC/UPWWF5MS9SBw6OeuYzNpTZUVIBFgeky6q4r/8IgBifzyn\nx1RMZBm1/wBRq+LxINdkszKk+nrsX32BsloElJKmYVuyGKW6Cs99d6OElqFVVCK1t1qokFZcjFrZ\nH7X/QLS+5aIe1OWCZIL48X+wAiQpGhVJkoICsc3Vq1AHDQZJEsiCOcQOSI1uHJNj5nv4rruK5rdm\nYluzmtjUM7KW64WFEA7jnPkuzpnvkth7X9pvupXULrtSuN8E3I8+hDpylHWv2JYtFTQtp4vIJVdg\n+2kJ9vlzUVasoPWRJ4gfdyKF40ejrF1DavgItAEDCf/1ejwP3odj3/HgcJAwnk+cTtQBA3E//R9o\nbCR870PohUWoeQES++yH985/kgqOIHHk0Z0uiVRbi+vlF5BbmpHa2yx0XisrS4untLXiev4ZPA/c\nI55Brw8pmSA1eAi2VStxfDCTxOQj0uewqRGttMyam7SSPkTP+hO+W/+Osmwp6oiRncdRX0/h+NEk\ndx1N69MvIEUi+K67Gtuiheh5eeh5AbS8PLA7RA2f3SGeGYcT3WEX/9sdJCan5xspEwVLpXC+/Qa2\nRd+j+3xEzz0/i0abWTubi37rfuJRHF98iv2rL9BtNlLDhhE4cyrhv15P/DBx7LrfL+4DgI8/Jnbq\nGTg+mInrlRdJjdwZub4e9xP/Jnr+RdYcI0UNxM6g0clr14jn9sXnkCIRoqdNw/3sU+SdcwbxY09A\nragk7y/nIG9cLwQwjKDbvvgHkuP2JLHPvnjvu5vYKaeRHD+RwKknIoXDpIxeZ1IsihSLITXUC/ZB\nfj5aUTFaWV/C196IXlRkiKdkz80WFbO5Gd2fJ86ZkXyTGxrQJYnm6c+QGj1GJDucTuS6zdi+mU9q\n2HA8D9+P+z+PG8qzDgLTpqKsX4taXoHafwDy5lrkzZvRC4tIBYMoa1ajK4oYjzkGY78AstkiSNdx\nvPc2if0OwLb0JxHYGSiR45OPiJ3xR7FeIkHen87E8elsHJ/Oxv3fJyGRQCsuRi8uQSsuQXc6Ra1q\nUyM4HISvvg7NYBlI7W3IjY2oQ4bCl59b/oVJczaRMxxOpGTCUlhVyyusa+S//CJIJGj68DNrLmi/\n8RakxgZcb76OLst47r8Hqa0N26LvaX3wUXw334j/0guQ2ttQaqqRIhGc77xJ/LgTBWJXkK6xkxob\nBfXRrO/XNOzfzLPOmZRMisDO682q+9NdLqT6evLOPQvH53PQCgtRVq8SaruIYN625McspWjrOqxf\nR/7xRyIlEiTHjCV6znmoFZXW+fHefCNccXGn3+1o63FghxAzeR44KxQKbe/CKDO935dsimU5nSmX\n5vodRVDKgfZQKNQSDAY3AH2CwaAUCoV0gGAwqAB9utieZUsafmDmmne5cr9L0dGpLOpLSYmYpHbp\nO4p5G+YRtYmbfWTFUGuZaf3yK2hIbGZ27UzuX3g3D35/L5dPvJyhhUOJqTHm/nEukyon8cwPz/DQ\nNw8R0dpRZAWfy8PBOx3Mx6s/ZlHdQiQkdHRaqaekxM83m+fhc/hI6SnyvB5KSvzkFw5GQmJ1S3Z2\nP+DzZY2rokh0jaiJVVHkLaKkxE9JyRjmnzOP82eez78WPUBRXoD3V73Pgk0L2LNiTwYXD2IP91he\n/elVJr8hxEaHFA4h4Azw+BGPc8boM3AoDnw+J+fPPJ9GeRPDi8Xk2ppsZvf83Vjd5oUw9M3vY43n\nmoOuxOtzcvEHF/P3b66hJd7MNzXz+aZmPkcMO4Kd8ncinAzz+brPeeyHf3FU8CiK3cU8++OzJLV0\ntrPcX05TVFyHYk8xkWQEt92Ny+bi4J0OZuLQMTgUBwX+POJajBZEkDS232hmrH4Hpx9KSvzUxWoZ\nX7mHGN9B+0CfPrB5M44TjoMzz4A994Tycvj6a6SXXsJtZPGZOBH+ehXS2WfD/PlIL72Ec9YsEcw5\nneKfnAGQ9y2DKVPg1ltFkFZYiBIJZ98/EfGy9e0j9IICsTawq3D0ZJH5+/57MJBOezIufjtXlKU6\nflhISSodKBYcYwRvmniJFew7AcaMwbPoWzyZ+wyLfeYdeyRclS+clSuugL33huJiKC5GKi9HeuQR\n+OtfYY89RI83Vwfg+5jJMGYMvuuuzngY+sHGjfiq18PLL8Dll8MNN8CiRbBwIdLGjdgPOYSC/SeB\n203ezX+D6mp45x1KKkugfyX8/HP6HDXUgCRRNHoEOBxQMhx2Gw7zP4f6OgJnnwGTJsGECTjuvRd8\nPigrg8/mdFYyO+YYiocNgOJivG1NeEv84lxtqsJ2/HG4+hXDhAl45n0hztesWXDVpXDoodjefReO\nPhpmzsR7yAHit6aNCkIqRUm8BQYMyN7n6y9CfT3+qy4V1/ee2+CLT2D6dDHWCRNg/To48ADYf3+U\nH36A9nbs7Ub/sI31IgDx+cDvB6eBzOs6VG0Qy+x28e+UUyiYfJAIsvx+PKk46OLeKR7UV9yfpg0Z\nBO+9TUmRF2qrse2zV6d5jUGV6aTC009DPI799tuxG4kQLrgAGVF3gSSJe1/TYP162GUXPEcfAY8/\nis+pwEpBcfIfvB9Ui2DddtCBYp9T/wCPPEjx15/DoSJo8ZYVwwnHozzwACVqWFzTRuGgy243nn89\nAAcfjDRjBg6HQ5yPG27A8corOEy61Iy34bQ/ZB/T6lXi/q6vp2TJtzB5shj75+nybXEejNdfIND5\nvHS0iROgsRFaW1Ea6nAVuOHDD+E//4F33hHn0OMRz08sRsHJx0JbGwwfDldcgbJihXAOzzkHli1D\nXrMGec0a7D/9CLNmQkWF2EZNDa54FE45QexXS4LPC8EgthdewPnRLJg2DR55BJb9KK73c8/hGD06\n+xj6C3Q28O1XUFNN0Rwh2uDbfy98JX5wiCoJW2kfOPFE8exefDGOUaOw0odnnon7ySfh/PPFNZk4\nAedPP0G/vuB2WckyVBUiEfJMZGKvSbB2Da6xu+Mq8cNtN8PlF8P998ODD+IcPiw91lEj4d13YcIE\n/Bf/Bb85t858D/x+AvWbwFz3nnuEA3jllXDMGfDVV+KZCAQgLw/GjyfvsIOhpFgc69+uFb8bOxaO\nPw757rvFMd9wPfzjHwQeuAuSYTE3/fgjRKMokyaBEdgFBpTDlCPgvrsofPpx8Tx3tNeeg0gEx4Kv\nKR63i5iPbDY49lgxtzc3Q1ODoKIVFYn6oLoW8dmgvrFpE+5Vy61N5iXC6WN+9VU472xxneNxvLuM\ngDPOSO+/WqDE+RPHQmkxLFlCiV2Fl1+GOXPE/BYIiKTElCnYX3gB/vQnvLffgne+QCXyKvrAycfD\n3hNgwgTcDgdcfz3KbbdR+LV4ZuTWForffQ0uEokR4gKx8sXa8C35Fg4+WARVU6fC5ZfjTibh2adw\nznof54cfiOdvwAD44gvx99dfwzXXQCyGfUQQ+63/gLdeJ/+ay+Gss2D2xzBiBPZZBn3b4xGiOwUF\nMG6sOK91m+GjWbjH7W6MSwOPK/s5KPKCJOFLRcGV4SZ7vUJR+JJLKDj0QPHd7bdBYSHceCO+p6fj\ne/BeMT9PnQo33ghvvIFy9dWw554ogQBKIgF7jIPSUli/XtSiez0wbRolpRksgNJ0kGer2khJsQ+W\nLIE1q+Hqq+CTT3DN/0ocE+D8bDYll5wrxvLTTzg+nQP33ov0xhvYVRWKy2DzZlixXPyfSIh7q6gI\nqqpwzfkYXnsN9t8fNogkl3vinvDUdPyKhr/ED7oI2gIDy8W95vdAKkl+m0gq5O8SBKP0QK7bDFOm\nULhfpt6hH954DdauRXroIZz33Se+fuop8s44A8qKkE88UXz3wQdw8cXkPfEInDMNWlpwV5ThLvHD\nTv1B1ykhBiWG6//aa7BsKRx3HLz+OoVeG0TCuEsKoUgEycVH/g6efhpOOQU2bIDp04XewRVX4Php\nMfzud/DhhxQs/xF+fwCd7FJRP88dd2CfPl2878wyhcLCLFr2r2m9CexKgSd3QFAH8APQDuwHvAAQ\nDAYHAgPpLJIC8CUwrcN3ByIEUjD+twETSQuo7ANIGevktCvGXcNFs89jwWqBgtlSburqBIVpgGcw\nL7W8xII1IsvsUwutZaYV2kv4pn4+j3z9b3YKDGavin2466u7AKj092eIc2fq6to4rHwKhx0zJeu3\nSTVJv8eKiaVi9PcPoKp9I8uqV1BX10ZTpBlJk0mqKZJx3dpvkbuI+mg9A/IG0hpvoSneRCpjOYCU\nEK/g1Y1rKPeVW8vs+Hn8wGeobzuC27+8nYSW4MEDH+Wk4emGoueMuIDvahcwsXwvBuQNtL5vaYwD\ncSYViYfh+e9e5qIxlwHQEGnEpXtxSML5d2qerPGcvNOZPFE8nf8sEoXQsiQTcAR4/tjnibcK1C81\nPkVjrJE+HhGU/mP8nai6ioSELMk4FAcJNYGE1Il6mjk+LSETS8ZYUiVeiAPcQwDYUFtLkV5BbXst\neUr6Ojqv/zt5F51H08AgqQkTxcZSwNi9YPQEAhuqkBobaH7hDTHpN8dg+Gi4aTTcdHuncXS0ovvu\nQ47FSBUVo1RtpD7jvLhXrsEH1PcbQjEQWfA99nvvx774B7SS/tirAAAgAElEQVTiEhrq2iiIRLEB\nqdY2mtZUUzx3Llp5BcqmKlpff4c8IHLOueByo9ttoNhIDR9BojWBd/dxuJ/5L/WbGq3JyfvzOtxO\nJ/WqHe8fTkFuasJ1553U1WegiTHgxNPx1DURO+OPaG1JaOtMKbLd9QCOjz8kNWpnUrvtjtanlOKy\nfBIbNuEEWkbuRiIhw8gx4p9pzTECo8fgmDeX+EGH0Dp+P6hrw1dYgvPzz2kwzpF/+Urs5RU0tohr\na5orrwg/ED35VNrvvA9SKXx1jcROPIXUeOMlE4shtbYitzSj+/2CclLXRkFJH9R1G2mta8O2+AcK\n4nHaisqI1bXh3vcgfLfcSPPLb5B39jS04SNpfmQ6elMU+Z/34B44hPCosZBxDe0FpeQDyaOnkNxn\nP8J/+wcgMqJFs2YJdKy1hcR+B+D4bA760qVEzzmXyCVXZmVvATjNSD50mGN6bMY1LHB7UBuaUX31\nuB0O6lsTWMEK4CoowZ9I0PDDcooaGgjnFxPpsE+ny4+ZT24sH4Q6ameYfCz2eXMhkSB5wEHdj0XX\nKQHCLWHkT7/A6fXRUNwPj2THC7SOGU+8rg0Gj6KwTympl16lffhuFAFtuo3ksSdTeM89tP/rMaIX\nXUZg1WqkMWNpe/DfeB66j/C1f0PLvC8uvlr8Q9TluP/1APW1LSLgjMdxvfoS/k2biJz9Z9z/eQLp\niCPQiopIjt0DqbUVB6L+rKGuDdfGWvwAgcCWr8Xt9wPg/8vZuN56Q9Se1lSjFRcTO+vPON96HaWm\nmuQe4w1kxk7ksquIH3F0JxSBSQd2uZu8aVNRVq2gyRhPoLUd7E6S5f3xgqj7euopkt8uREol0Xcd\nTfN+huBQxjE4ZCcBIPHTchxAfPanOIGGvBK0ujbQoFiSSPgCtJ5wGpxwWqdt2Pc7hPxHHiGx4Dsc\nQHjkrnjffZf48FHYHE4aO56zmPjs2nl3/DxPS+VgEtY6TnHdzrtUnA/je8/gIB55BtKjj1LXkEG6\nicWs+8q8Z/NfeQ1SSWIuP/6vvqL1wUeJn5SjSXZ7ihLzz1vvIHr2uRCNUvzww0ixGI0Dg9j/cjH+\nKy4WgTYCQY1deCnJCRMJfCKowU04SKl2fEcfi/PV12gw7oFMCzz7PHJwOK2PTsfz2L/QAgGi55xn\nISY9sfzDD0Feuw7zLolsqCZsnp+vvsGjKDT8tIriIZWEl63MeoZ93y/GGcinQXLjc/twrVoFZWVI\n8ThqWV8kHVqfeQnX9MeJnnsRqbYk3P0wgbXrcXz6qThO1UYqosGI3SlxOKira0M5/FgKb70V7Z+3\nIblcaKVlpD6aTevJZwJQFIkiA9GN1UiPT8eRl0fTZ/PRTLp3OGxdg9jRU9D9eYRvuiWNXg3Zmfz/\nPo39x0WE+1YSaU/huPVOAqecAFdeSWKf/Wh57R0RBHZjBRPHoL7zHq0nn0lBIomqQmuH+7IoL0C8\nejO63YGB3ZPceVfabrsbdfiI9D1//KninH+7CNcz/yX5u8OIXHy5WAfg5DNxx1Rix/8BvaSEbi1j\nDC7ZgRVqxmLUh9bhfvZFPJJEw14H4Wxqx/+qEHKJ/eEUlJ9XIX81D6m5CTmZpO2Oe4mdejacenbn\n/ei6leQFwVbIO/1klEMOof3WO9Hz88kDmgYOowBo39xItK4N59oq8oBGnKh1bfg1CXssTnTZKnxA\nnSsfe+RnTGw45nDTlmuO9BUjnzyN/OdfIHrRpUQnHyuOfb/f4zvzbHSHk/CYSbjO+Qv+Ky6m5dmX\nCeg67Q4P0bo2HK48AkDj8jWoNh8A+bfdjjRkKOGjTyDw+us01TSS395ORLajJXRxLpcuJXHp5ThW\nrqTtvoeJHXkCjpnvEQBoayM8bgKupctIzvmctlP+mD3mZJLil14ieubZhM88D874M/ZPZ+N+8t9g\ns4MkbVF4a0dZbwK7H4CdyVCq3F4WCoUSwWDwEeDuYDDYgKB+/guYEwqFvjHaIRQCjaFQKAlMB64M\nBoOPAg8AhyDaI/ze2N6mYDD4KqK33VmI2sLHgWdCoVC3lZKmmuMaAwUrcKZJacMKhLzyZxuFDL7Z\n3iDTSj1lrG9bx/q2ddw06Vb+MvpCjho8heu/vJqpI0+36Iq5zK7Y6eMppTZSQ6GrEB2dDUb/ufZk\nGz6Hn5SWtMRTAPp4yqiP1lPuq2Bk0c68v+Y9q8+daX6HmC5qwtWMLBrVab8nBk/my6rPGZw/hBOD\nJ2ctG1owjKEFw7occ4W/H3uUjeeV0ItcuPulpLQU7ck28p0FuG2C6pLn7ExhOqj/ISyp/xG/I4/b\n9rmLfGc+ec486hCTgk22WUEdCCpsR8v1XUcza+zWta6lyFVEiUFfDSfD1Efr0NEp86TB3/hJU2nY\nd/+sPm2WKQotL74uJkm5V+WqlukeLzQ2CrrSyhVZlD25photL4BeUoLu8eB55EF0l4vk6N1Rfhb3\no9XHLhrFMe9LpGSSyAUX47/2KktlL3bqtJx0oNSYcUiPPYKyIiQcc3OfpX1BkgjfLAJTV6571Ocj\ncvV13R5bapfdSO2yW/aXTme6nqMjypdhyUl7Y/9uAeFbbrde0lpZX5Fdi0bB7UZevy5nfV/sD6eg\nDguS3Gsf8Vunk/Z7HsxeyeVCd7lQ+/TJ+lorKRVUzFQK3+UXoRUXEz/6WEAo9XHLjQSmnojWp5SW\n51+xKEZaeQXhm27pNBZTQMP+w/ei/kJVwWYTwjXxOC1Pv4C8eTPxKcfjevkFEvvsh5aD2rotTff5\nhCpme1un+jpxLAYqY7Rp0HLV2BULB0WXJKthLLIsznlPTJJEXYvZI233MUJJtE8pus2W3o4skzj0\ncEGlvPASsU+vF3XoMBIT98L93NNEL7hEUGZH7YI6LEjbQ923J1XL+op+Z3V16KWlOGbNxH/ZhQAk\nJ+1D7Kw/YZ/7JfZvv8H23QLxXIL1XFpUzEAgM5+Q28zanV1Gw1tvkNptNO233S1UXB0OpLZW3M8/\ng9p/AG0zPhJzyRac0pzH1H8AjjkfW7+XohF0fx6xM/6I7vYQ/fNfRJ/G885Bbmkm8ufzc25Hyxfv\nO1N91r7ga3RJSs9/soxeVIzW4bnJNKs+qbYG3eMhNVLMLbYfvreULXNZ/IijsX+3gOReOYSqO4i8\nRM+/iMQRR1EwenSWM2wFw5ktHmIxpEQc24KvxfP8hy7UCzNatkTPPEdcB49H0PA/nY06ZCjqiJEk\nx+4hqNwlfSykO5PeatYBqUOGIbe1Gq0B0s+ZvKkK+/yviFx1LerOu2zxfu3KtMLCrP1mUjFty5ei\nDhkqKJ3FJVktXEA48uqQoSBJpMaMQ/v4Q+KHH0n8pKlizjbuweTEvdI/kiTR9sTo56r7fJ3GpA4Z\nSnL3Mdi/X0hyzFi0kj4WxRnSNXZyfR327xeSOOCg7PnF66XlyacFxbH/gI6bF/sYPgL7j4useSdx\n8O9pful1lA0biB91TI+en8SBB+N+7mnxLkml0JXO72/dRCwzjlMt64u68y45txm56loiV13beYHL\nRfS8C7Y4pk77N+4Z3eFASiRQqjbgfO8dkuMnopeWZl2b+NFTSBycVoYuKfYRq++mzl+SsmvBBw+l\n+f1P8J93Nv6rLyM1QviFqeAI0Q6jQ42dpU5pIMJK1Qa0/Hzw+dDt6WdVy0vTSTuaNnAQjYtXZF8v\nSaL9jrRGQ+yEk/D+8+9477xV/CZDPAUEKqgiKL32hd/R/reb021LWoXQi+71WzRLAMeXAhtK7C8S\nZZmlJOqgnUiO2wP7guxaehD19pKqpn0aWSZ54MEkDxQMNs9t//jNBHa98UYvRQRPpweDwSHBYLC8\n479tPLbrEdTPZ4FPgDWAwTNhEkL1ciJAKBTaDByKaE6+EPgLcFooFMoMQs9CoHUzgDeBj431urUC\nI7Bb3SxedPmudGA31Ajs5qz/BJfi6iTpD1DqTascnWwgX/tVHsAXJ3/Dubtt+WEv9xnUGGc+/fyV\nVpPytkQbSTVBSkthzwrsxAu3zFPG+L4CYaru0MrA7xAPm45OIEeQdcRORxEsGM5f97weWep9wHLK\n8NNY0RTiu9oFtBhtFQpcBXhsafGUjnbQgN8BMLrPGE4MnszvBh7WaZ1tYWZwubJpBZX+/njtXkAE\ndmbLB1Nd1LScQZ1pJs1sK810dHRjosps9qrU1FiqVFqfUnSPl5YXXiO5935Ws810u4Mw9k9no7tc\nxE45HS2Qj8Oot9P6dU44gKgFAbKkruXNtaKv2XYy3eG06jlMMYRcFrnoMhq/+g518FDrO1PEwxQa\nUYzm5J3M6xX1clvhIGt9+iBvrsX92CPYF31P+z/vspAzdcRI1H6V6C43Lc+/2v19YW6vIn3uk7vt\njufRh3D/+2GUVauIH3kMyf0OFOiB00ns9DO3e1AHoHt9QjylrQ3dmyOwqxDHZbZ3UMs6t/o07x2t\nX6XVX6zXZrcjtbdh+2mxVc8QO/Fkmj7/OktEID75CKRIGIfx0jQdytipZ6CsXYP9y89RqjZmnevu\nzLxuSrVwdmUjUEvsvS/JffZFHTyU2Oln0vbgozTN/Zb6VRuI/Om8tDJcazO6LGc5fFuy6IWXUFfV\nQOuzL4saTSNQSZrOhUnT3Yp7FkDt31/Ukhr9LqVoDN3lRistI3rhJaJG7eDf0/TRZ8SOPYHYKafl\n3I5ZQ2cq7MnNzeJaZARWLU+/QOSSK7oci55nBna16G43KaO+Rqna2KkhetbvSktpe+QJ6/fdmR7I\nJ7Xr6M4LcgR2UiyKFIkiRcJo/rxuz3HspKm0TH8mK8gLX3sjbQ8+Ks6BJKGO2lnc9xn0Zd3jTf9t\nnENz7u4ojOR8500kXSd+zLFbPM7uTM8vsFQTIVud07Z0KanhIpmn9uuXLV6FqBMzn+HY1NNp/GE5\n4X/eJc5pN+dHrUwHW7mSQgDx4wXFOTVqF9TBQ4W4h6qKNgkGfdvx2Rzkus0kDvpdp98njprSZVAH\npI8rY65MHniISGIUdPbBclnioEOQolHs8+YiqarVoDzTtLwAUmtLlgjQ9nw3djQTpTQDCfsXn2Nb\n9hOJI44CRICrGfdapzr3rZhH9LwArc+8hNp/ALZlP6FW9AOPR4jUhLNr7Kx+lnY7UjKBvKnKSgiS\n0Rszs04wp21pnG430WlnY1sm1HGtgLKP8Jccn87GtvBbXC8+CyACe2OuMsWEdK83u9QAIcBkvi8y\n1YvVgYNIjp+EUrXRqkMlHsd/7lmWWFdX92b8xJOJXHRZ98ezg6w3iN1swA48RddCKUoX3/faDEXM\nK41/HZd91nFfoVDoGyBX83JzeQQR3J3Vm3GYwdqKJnGRi1xpetROgcEokkJddDM7BQbnRN/yHOIl\nde5uF1hBYm+sr7eC71lIwJmPU3Eyb9Nc4mqcuBonpsZQdRVFSl/GUo94mZR6+7JXuch8RlPZErzm\nmABL5TPTfA4/X5zcOWPRUzt6yBSu/fJK3lr1OtNGCRpAwJmfRuwcnV/c40r3oL9/AAdWHrzV++2J\nORXxgK9sCrFXxb4ZgV07tREhmmGqi+4IMwM7tVwELe7pjxO5UNCOBHomrmfbA4+gBfJRR47C/uXn\nIqDT9XS7g2gUx6ezRRbP4yE5cS+cH8wQAiFdTK6mg5zZV0aurUENjtheh5uF2HVUBc0yt7vTBGqe\nC/fT/yFywSXIm6pyIna/xLTSMtFz545biB96uIXWASBJtDzzEthsaZrNlszIFGqBfJpnzUFqaBCB\n4i9IBvxS071epKamLhE71XhBm0pfuRA7k1KkDhnaaVmPx6HYsH//HVIqZUnV43R22mZykpjH7F/P\nN8Yv7tv4EUejXXsVnvvvRorFcoq85DKtrwhU5epqGJ1WfGud/kynPm0gHB49LyAcPE1Dbm0V/fZ6\new3tnSniiX33R+1bTsoQDNpaM58VZcM6Un36QDSC7un8fGkDB9H27xw1X+Zy4/ilDKGnjgHzlsZq\n3lNyawtqv0q0yv5oXh9yuL2Tg7XNTZaFQmWG2qcUNQQ0olHICMByWduDj3b6Th21s8Vo6Mp0r9iu\nLknWfGsqCso1NVkJKudbr5PcdXTWd1tjJnoBIrC0ELv2dpT1a4mdIiiCWnm/LNQMhFBXV4FZd5Y5\n3+ZC7ABixxyP567bSO69r0ggxeOiH2gGtVyKx9EVhcSBh/R6DPEpxyHXbCK18669/q1pyYl7o7tc\nAuXOIWwFArGTW1pQMxKQWmnnJNf2MvP8Jsftgf27BbinC+H5+GQh3oUsk5wwCceHH2QF3L/IFIX4\nYUfgeexfqDuJMhUM5VOppRnHjHdFMGmgYmbjb7OHHZCF2G0xsOuBRc88B8/D9yMlEmk0vKwczZ+H\n59GH8Dz6EADJsePQDGEaSCuv6h1QRIBEJrPE40Et64tSU406cBBq3wp811+N65UXCV9/E7ZlP+F6\n41Xs34j3j9oVkjx4KOHrb6LrdPWOs94Edudut1H8hs0MxpY1ioxBqTf9YDsUB8cNO5FXQi/SktGS\nINOOHnIsCTXBKSNyZ0i3ZJmIXYm7mDfCm6z2B9GUyCTZM6iWZmBX5u3Lbn1259+HTGefiv2ztpnn\nSD9suRC7X2o+h59STxn10Tqa4yLDU+AswG0idq7O+7TJNr6eumirEMLemMsILhtiDfTPG4DXLibP\ncDJsnc8y7w6cvA1HI3biKSjr1+P95z9wfDSLtoceRa6tITleoK5ZlBjTOUoms5A728oVtJ86TSza\nZ18R2HWDYpgOcmb/PLmmhsS++2+jo8uxT6czTedw9Q7pMR0lz78eQG6oR9K0Tr3CfqlpfUqRUik0\nj5f2O+/tlFHsiobTnTUsWiYcP1neco3FDjDd40Vub0Nvb0fL4dzpRUXoLpdF8zKRh0zTiorRZZnU\n0K5p2Vs0m2L1o0rmUCCzzOVC93hRNopWL6YTjdtN7MSTLEVSrV/PgnwzULUahhtKfd3djxa6bCis\n6t1QjHpjekEhjT8s3/KKWzC1/0BA9MRLjd0DKRbr9fMFabQpa9s9DJhN0zKcOd3tFuqgw0cgf7fA\nokltV1MUJDWNZEnRqLhu4Ui3VNBfYuY8rufnW0kbK7Cr3iQQjb7lyOvWWpSxX7zPwnSiWK2sxBZa\nhufu262xZCJ29s/mZNF8BT2054izaVr/zMAud2Col5TQsHQ12GzppuM/ryTVIaiOXHgpenFx78dQ\n0Y/wLXf0+ndZ5naTnLgXjtkisNNtnV1hPS+AvHY1UsYzsWMRO3F+U6N2IbHP/ji++JTk7mOy+sZG\nzr+E5J4TO1GVf4klJpuBnaC66h4vStUGAsceiW35UlqfeDq9ssMByQTKpo2kzORcxli2xTypl5YS\nO+5E3C8+l1bj9HhoXLRU9DPdJJ4vy0fqhNj5LBRR8/pIHHRIJ8aCOnCQUMw0EluJgw7B+cqLhK+5\nAWWtaFdkKkD3hKnza1tvArs+wNuhUKjrhlD/D1rAkY+ExOZILXmOgIXwmHbHvveytOEnDt/pyJy/\n99q9TNu5VyBhlvU1WigEnAH6+fuj6iorDfTQbFau5KJiGnTCY4eeQEcza+wgu2ZwW5rX7iOSjFiB\nXb6rALddOBpdBZOKvM0A3y7NROwA+vsHZFExw8l2JCRK3F3Xj2xrs6iYJSW0PvU8ztdfwXfNlRQc\nsJeQJ85Bg9Md4hikeAzicaPvmAhKTd54Yu/9gO6dMtNBNvsSSQ0Nom/Ptsr+5dqnw4Fi9k/rJYVP\nHTqMyHkX4nn0IatnT04q5i8w1aCthv/xz5znfmvst/YiyKRi5qyVkiTRimPNarT8/PTLNNPsdlqf\neFrUxm2t2WxIqZSgt27BYdIKCpAN6qQV2CHqR83ATu0pFbO4BN1mQzECO6uRdjdBh/mcitYZLT2i\nC+5IUw1nz2wBIkUjW0eRdTpFi5aMfnpaRe8CO9xudEVBUlUrIE6N3Fn0KdtBgV2nGrtoBCkStpJZ\n29osxC7QOQjwPHQftr+cI0SrjKRZ/OgpnbbRW8tE7GInn4bruafw3HWbhbamDJRRK++HHG4X962J\nyLa1dRmYdWcmYqc7nd0HE2ZtqYFK2latRB0qSlfik48ESSJy+dVd/nxHWOLAg/HdcI2ov8qB2Gn5\n+dhaWpAiGVTMbfRO6ImlRu1C5NwLSBxyKInJR+C/4FxiJ5yUvc74CWlBsG1kyT0nEJ98JHGjpYfu\nceOY/TG6y0XLsy+RzEBZdYdDtBVobLTenZn1bFuDCueyyF+vR6vohzp4SMa28wRNtUMdv4nOmX0/\nMxMY2sBBtD35NB0tftJUkkY/UYDYH6YS+PAD7J/NEb18zd9X9Mt5r/zWrDeB3U3AUuD/V4GdIivk\nO/NpijdZwVKmee1eZp+4/ZoSlntFdjnfmU+FIc6yrEE0S42kBNKShdgZYzSRu1zmtfuQJRlN17YL\nYgfgsXsIJ8M0xZqs8ZtUzEAOKuaOMnMMAP3z+lt1f+3JNjZHNlPkLsqpqrm9zMr0ut0gScSP/wPJ\nvffFd9mFOD/+MCcipRvZJykSEX3k8gtQoqIhsUkRVIePQB04iNSorhEmi4pp9M+zhUSj7lRPaYZb\nY5k1Nr3NnttshP9+K8qK5TiNwG5bUzETv59M81szsxHS/8dMiKeIBuX64ME51zEd++i0s7usg8jV\nJ6xX4zDqWrpF6wzTCgpRqgRip2XUBZpiFvbvFqD1FFlSFItyC0bPN4+n23qPdGAXQWpt7VYU4Fcx\n3//H3p2HOVaVeRz/JqmqrqX3BbqbbnZ8Adl3FGQRREBlExQRBB0BQXADxwVkAEUYhBEUFbRlUUBR\nEVHZBGRwAURkFXh1AAWavVe6q7q7qpL545ykbqdrr1SWyu/zPP1U5+YmdZJbybnvPe95z3iy06eT\niaXGhztiByFgyLS3h6IJuVwhaBy0VIrcxImkFi0qBJddm8fiTf3MsSuZosAu1dFOKpsltXhRYV5Z\nyTU3hyIzidGd3ISJ5FpbC/ODMv/3T1qfforOHXcuyQWp/HwjgBVHHkXHSafAsmU0/P0JUh3thQqb\n+RPu9Pz5dE+aDCtXkursHNZJd27KVLJt46F5cCm1uenTyU6aTOb//kkqLjGz8n0Hs/LQNS84l9uq\nd74LzvximPfXWyrmxFA8JbWig86dd2Xluw8sb7/Q1MTyc84r3Fx6zfXl+b2ZDEuvurZwMzdpcpjf\nf+0NaxbHSgT3hQuYTYMrnjIU2Vmzey9M05t4fpROpGKmXw3pmfl00WLFI3ir3vVuslOm0PzTa1eb\nP5vPjKh2Q8l7ewro/SxgjMunY85sK3V9mIHlg7mJTZOYOyF0Bk8tCB1FNhfSTRoSI13vXHdfTt/x\ni+w4s+95EKlUqlBAZTjz/gajrbGN9q7lhRTVyeOm9qRijlIwORjNycBuwvqkU2laG9pY3rmchSsW\nMK156KkhI5IfsUvm8c+cxdJrf8aiW+9ixZEfXvMx8eQoPzcunz7VuefePSenqRQL77mP9tO+0Oev\nzn9h5VMxM/EEZNDzx4Yhl5xYPcyr9/krv7l0uvSjYU1NYU7XMItY1IJcWxup9uVhrlgfV+3zJ54d\nxw9YX2r44pXd3haCLZY8iU2O2AEs/9JX6Djmo73Oj+tLdtbsMMcO4oLpAwRB8f5Ue3t436otsCNc\n5Mi88G/IZmNgN7zPV/59zKdiZYca2NEztyb/vnbHypi5QQYEI5FLZ3rm2HV2huIYQHrBG6OWikkq\nRa5t/Oqj26kU3XFe8Ko992bF0ccCsOKQw0ryK7OJQiGFkcjx4+naeZdCUR5IFAuKi1znMzSyw0jF\nJJUiu+66gx/tS6Xo3njjENjFkfHhXnAote6NNu6ZL9XXHLtYPTg7ZQodJ5/a6zzZse7Nb1zCojvv\n7bXi8WoVMNeZs8a2UsyxG6r870/HOae5tvGF+Z2r9n334J5k3DhWHno44275DQ2PPUou/n10F69F\nW6WGMmJ3E3C+me1HzzpzSTl3/3rJWlZFpjRPhSXP9DpiN9o2mWJMb5nB5tO2YJ0JccRu4d9X2ye5\nnMH4pgmcvuMXB3zeiU0TWbJy8eiN2DW08cryl1kUUzEnjZvEnPFzmN4ynfFNpRmeH45kKuacCeGE\npa0xBHZLVy4ZtfejL7nW1vClUdxhpFI9OevFj4lXxFJvhsAun5Kzas+ida4GOolpaCDX3Fzo6Bv8\nKbKTJo9uukniin1/VTH70x3ndWVnr1OXHe1I5U8C02+83ucJ2tIrf0z6tVeHNQdm0GJn2dnH33nS\naifMRX/XnbvvQefuewzpV2dnzSbzVPgeTXV0DHiyufqI3RJyE9dcJqbSutddn4bHHw2LXTP8z1c2\nBtGr9nonmZfmF1L6hqInsIupmHG5lf6qYpZMYsQuX14fQoXP4osCpZRrbV1txA5i6t5zz9K11Ta0\nn3QKuXHNrDziyD6eYYi/L18hsLGx37TI/EWafEpZ6s1QBXY4qZgAXbYpmZf7XSVqNd0bbULjvff0\nzGUdbhXdUkulWLXXPrRcPa/3OXb5ZTtee5Uu27Tcrasa3f289uSF2u7CiF0yFbMCF8Ca1kzF7Nxs\ncxb+4S9huY5BWvHBo2iZdwWNjz/KqnfsReMf7qF7g9oY2xpKYHdO/Ll//FcsB4zJwC5fGXNWBUbs\nprVM48njnincnt4yg6cWPLXaPsl17AZrfGP4Uh+9OXZtYY7dikVMaJpIQ7qBY7f4Dw63D456gZT+\n5Efs1m6dSXNDc6GtyzuXsXjl4rIH75077ETmuWeHNkIUi6fkA7vOPfai+y2bsmq/oS8RkV/TDCDz\n9FNhtG4UR6vy8wNz6fSwJ3znA7u+qlNJ/5Int32lY2XXnrnakgOj0o6GBnINDXRttfWA++YvXuRa\n20pSUbR71iwa774z3FjRMeDJZj5ASZW4eEopZeeuS+bW3/TMj2sZ2Yhd5977sPy8C4fXlomrj9jl\nJk+hc5ttR1wJclAy6cIoHYn5UcDojdgRlrQoLiaULzhw6zAAACAASURBVDzUudXW5KZOWy21bqTy\nI3YDBavZtdame+YsGv/6ICv+48TChbzhBnbLLrgYOrsGvX/XJm+h+YbrSS94I2yolsCOuJ7d1fOg\nl/n92fyyHQsWQJWMMlad5IhdLEq12ohdBb4n83P8CqmY8fPRX4Dam66ttqFr081oePopOnfYkfbP\nnk7XlsOvxFpOg44I3L1yZ+MV1pOKWf4Ru2JzJ8zl4df+ttq2xvTQRy0mjgsfuNFKi2yNqZiLVy4u\nBI8N6Yayj4gVa8mEk511J/YEBW2N41neuYwlq5ZgU8t7ZW7l+z9QWPdnsArFU+L6W92zZtP+2c8P\n6/fnWsN8K3I5Gp5+kpXvG9naSgP+vvwVvuaWYQeQXTEVs9SFU+pFcjL5cCrjlUxDQ1i8ehAneoXR\niRKNuGRnrRPSrN5cGkbsBhjdygcoqfiYqptjR7jQkVq1isy/QxW34c+xi+uwDXJNsN7kLxgkA6nF\nt99TnhTndAZiVczkiB0MfxRzMDp6WfQ9u1Y4Z+jacuCLF0PV85kY4DOcStG5866Fcu3pfAr/MD/7\ng10rLi8fzDc88Vh4fDkK6AxS5+7vINfc3OsFrmRqd9WMMlaZXLzI3L3W2j3VupPrO5aoeMqQ2pQ/\nP1qUH7EbZhtSKVZ84CjGn31GWN8uLrtTC4Y+1FOH8oHd2q3lq4jUlzkT1l0jsBvOiF1+yYPRCrTy\n6Y2LVy5abVH3ShsXR+nWndAT2E1pnsLilYtZsnJxRef/DVq+eEpMqRlJOmKurY3UsmWkX3uV9OLF\ndG02ioVToJCK2dsaW4OVmzaNlfvtz6p91lzcVgaWPBGsSKpM1HHsfww61TM/YjeseUG9PV9+LbuX\nXgpV7wYascvPR339dVLZLLmJ1fc90R1L0ecX1h3uyWg+7TU7ddoAe/bzHEVz7ICyzVvNZXrm2OUL\ndhSM4ohdb1bttz/p118tFDIppVzb+DDqPYjX1LnzLjT/6kbSL77QMze7TCfd+XUpG554PPzeKhr9\nyo2fwKLf3Vv4Pljtvkk9Rd6qqc1VJb9Oa7IoSSYT1pJkEBcdRkN+uYMliwdMUx7IiiOPouHRv602\nZ7UWDDoiMLM7BtrH3cfkmdbUcTEVc3zlA7t8MZWkhtTQA7sJTRNpaWgppCOWWmtDKx1dHSxcsaDi\no3RJzYURu57RnmnN03nsjUdYunIJE8dVVxnz3uSKi6eMYNHffIXEnsIpm4+8gf39vhiUjvTK+dIf\n/bQUzalLyVGvrmGsy1cqKz52/KD3HfToxCAl17JLdbSvVvms198fA5TMq6+E21U4YpeNFdsaPKyL\nN+wRu2kh2E4uKD1UhaBhFEfI+pScY9fRvtpdo5mK2ZvO3d5B527vGJ0nT6XITZk6qFHsrrgeauNf\n7i+kMg97JGOIujfYkFw6TcPfY2BXZaNffaXoZRNLmlRbm6tFfr5/dnbivDSVgqamcJ5SgrT5IUsu\ntzDCC4G5qdN484qrRtig8hvKu94ENBb9mwK8Hdga+L+St65KzJkwl0wqw5wJlU/9mjthzQplDcNI\nxXzr9C3Zesa2pWhSr/ILf7+07KVRm8c3HNNbpjOxaRI7rL1Tz7bW6bzw5vPkyNXEiF0+1SAd59jR\nNILArq2N1PI3aXg6BHZdNsojdvk5dlWUjlNvujfciO7Z67D00u/StfXofQeUUmHNrhKlYnbnA7tX\nXo7LHQxw4hYDgvQroWhENQZ2+WUJMv+Igd0wR8VXHHUMS675yYjW6ss/tiKf87iGHqw5YjdQAF9r\nslOmDOpiR9dmbyU7fgKND9xXmJtdtjTscePC/M+4xmKtjH6tNmKnwK53sT8vXkYg19hUkTRMIFzw\niAFnRUYMq8BQ5tjt2dt2M5sC3Ao8XaI2VZ2DNz6MrWZsw9qt/S+iWw69BZfDScU8ZdtPc8q2ny5F\nk3rV2hhOhF5tf4XJVRTYjW+awD8/9jypRFrQ9JYZdGXDZPBJTdUf2PWkYsYOegSpBrm28aRfeZnM\n00+FhZtHswoiPaONoznXRfqXnTOXhY88NfCOVaTkc+xi5dfMS/MHVzylENiFEbtslS1QDkBzM91r\nz6QhpmIOt+BDbto0Vr37gBE1JZufY1eJz3k6DV2xuEdH+YqnVMKqd+0/uIsMDQ107bAjjX95gO71\nNwTKO/+pa+NNyOQXeh5mUZ9ySwZ21VTwpZrkCqmYRQMOTY0VvfiVa2witWpVZeeQV9CIx0ndfRGh\nGuZnRt6c6tSYaSx7UY2+zOllxK5xGIHdaGtrDCdg2Vy26kbBUkVzPZJr11VT2mhfCpOD8yN2JUjF\nbPCnCiXJR1OheIo6ShmCfCGPbKnSx5qbyU6dSvrllwdXPCUGSekqTsWEWBnz+bBIeSVHxXudY1eu\n352cY7dGYDe2RuyWf+Uc2j992qD27dxpFzJPPkH6pflAeUcz8vPsoIZG7NrGh+rN1E6by25cPyN2\nZUr17VVccmE0lzepZqVMgK38cFYdmDt+zcAuU4WBXWtDzweqmoqn9GZ6y4zC/yfVwBy74uIpIxux\nayP15lIyTz9N1yguTF6gVEwZhlKP2EGsjPlKmGPHQH+PjY3kGhsTgV11fk8klwCp5Kh4b1Uxy6ah\ngVSfVTHr9wS9c+ddSeVyNN1zVwhwe1mUe7TkK2P2umZrtUqnCxdw1F/1rmuLLVn5noPo3LWoYmRT\nU0UrBxeWVWqrYHBZQUMpnvK2XjZngLnA2cBDpWqU9G3SuMmMb5zA8s5l5MgBw1vuYLTlR+xg9NbK\nK5XpLTU2YldUPGVEI3Zt40kvXgxA92jPr6On0ItSMWUosrH0eCkDu+5Zs0JVzEGM2EEY7cnPsavK\nVEyKArtKjtjl359KBFKrLVBePMeufr93OrfbgVwmQ4M/HcrTl1F+xC43gmVuKiE3cTIsXqz+qg+5\nSZNZ+sMfrbE9O2PGmumZ5VSYY1efI3ZDGer5I8RIYnUp4AVg9CZsSUEqlWKHmTvyRscbPPFGWBem\nKkfsEoFdtQdLtTZiV5yKmRtJ8ZREDnrXKFfEBApB6EiWO5A61NJC16ablbRqa3bWbBoffojUihWD\nGsnJtbSQXhIuglRtKmYisCt3af+k3MTKpWKS7knFZI2qmPV5ogdAWxtdW21N48N/K/vco0IqZo3M\nr8vLTp5M5nlqrt2VtuTanxcyiyohP/evXufYDSUi2KuXbTlgKfCYu2dL0yQZyA3vvYk/z/8jB/8q\nTHCv5jl2ENaJq2bTWnrKelfbfMBeFRdPGeE6dnndm47+PNJC8RTNWZAhWnTvAyV9vuys2aQXLAAG\nN4KcD1JyjY0Dp25WSPfcnuJalRyx69x2e9pP/lRFFvXNrbbcQRixy6XTYf3BOh6xA+jcadcQ2JV5\n/crs2jPJto2vuZGvfAGVWmt3pY1kqZSSyF9A1ojdgNYDfuvuC4rvMLOZZnaUu19UuqZJfxozPSfz\nw1nHbrTlq2JC9Y/YTRo3mYZ0A9lctrBMQzUrLHewNC5QPsJUTIDu2euUZd5QYT5gHc91keqQX8sO\nIDeYK/JxtCc7a3bVppOtnopZwc9YczPLzzq3Mr87k04sdxDm2OWmTCG1YEF9j9gRCqhw+WXlH8lI\npejeeBNS7cvL+3tHqKLLdsiw5RpjKmYlC7hU0FCKp1wJbNjHfdsAXxt5c2SwxmV6TuaHs47daEsG\nSNU+xy6dSjOteTqTmiaRTlVgQc2hisFRalm+eMrI1rED6C5H4RTouZKmK6BSYd2JwG4wC2nnT+46\n42LP1Si7zhxyqVSo5jeCoko1LZ0csesg19TUU0ShzlPAO3faBahMitrKQw9n1b7vLvvvHYlsfsRO\nGSa1pbG+q2L2O9RjZr8B8pMaUsBNZrayl13XBp4pVaPMbAZwGbAvsIoQVH6pv3RPMzsKOBNYF3gU\nOMXd/5q4fx/gHGALYCFwA/AVd1/Ry9NVvcZ0U+L/VRjYNfScKFV7VUyAaS3TWd65rNLNGJx0mlxT\nU2K5gxFUxYwdfFnm15EonqIroFJhq4/YDXziln75JQA6d337qLVpxJqayM5eh/SiRVU7qjjqMhnI\nxlOFFR3kmlsKc3rrfcQut/badG659Woju+XS8YlPlv13jlRhxE4ZJjWlsEC55tj16qvAx+L/PwY8\nCLxetE83sBi4uoTtujE+7+7AnPjcnYTAbQ0xaJsHnEwo8vI54A4z28TdF5jZ1sBvgPOBowkjjz8A\npgAfL2G7y2ZcpudkviFdvrLFg9USA7vGdCOtDdU/OjOrbRZLVi6pdDMGLdc0jnSsijmS0a98KmZZ\nljpAVTGlemRnzSr8fzB/j5m4/lfnrr0ViK4e3euuR2plTV6vLIlcUVXMXHMzudbW8N1TxhL/1Wrx\nzbfV72juEBUWKVdgV1sKVTEV2K3B3e8H7gcwswbgHHd/bjQbZGa7Am8DNnD354EnzOx04FIzO8fd\nO3t52GnAde4+Lz7HCcDehKDtfOA44GF3/6+4/zNm9mXg+2Z2ort3j+ZrGg2NqwV21Tdil0lnaGlo\nYXzjhDUWBK9G5+1+IV3Zrko3Y/DGNcEyyE6YOKJ1gTq32oaOo48rX4pMk6piSnXITZpMrrWVVHv7\noEaQu2fNJvPyS3RvuHEZWjd83ZtuVljCpC5lMqQ6w2lCqqMDWlrItbTWfeGUgjpNTxuO7g03Ijth\nYmG5FakNGrEbJHc/DsDMmoGdgNnA7UCbu79YwjbtBvw7BnV59wATCXP5HkzubGYp4O2E0bp8W3Nm\ndi9hxO984ArgmqLfkwOagDZCZc+a0pROBnbVVzwFQmXMaq+ImbfBpL6mj1anwgKcU6aO7Ina2lh2\n0SUlaNHg5Efs0JwFqbRUiu6Zs2h49plBjdgtvuMeUkuWVH2K47IzzwkBTb1KZ6A7jFiGNQpbwr86\nT8OUoVt50KGs2ne/ii4dIsPQqHXsBs3MTgbOBSYTAqMdgXPNbBxwkLuXouTRHGB+0baX4s+5FAV2\nsS1tfTxmBwB3fzJ5Rxx9/Cxwn7vXXFAH0FTlI3YArQ1tVV8Rs2bFK1LZKbUROBcUUjEV2EnlZWfN\nhmefGVRRjezaM2HtmWVo1QiNH1+3V6oByKR71rFb0UGuuZnszFlkF65R0Fukf+l03VZWrGW5cfVd\nFXPQgZ2ZfRS4FLgE+DVwV7xrHqG4ydmElMiBnmc94DlCYFh86XMF8OP4s8Ddu8wsB/SWL5O/lFI8\nqWBlb/ubWZowZ28zwkhfTWqs8jl2EJYRSC7+LaWTTx3L1VhgV2i35thJFcgXUNHf49iRy2RIdSXm\n2LW0svy/vgoreqv7JiJjTqNSMQfrdOAid/+8mRUiCXe/0czWIRQsGTCwI4ys9bUSchY4FVitfnsc\nYUsBvY0I5nNOimu+jyve38xagJ8Qqm0e5u4PD6K9VWlcuuflVmNVTIBv7n3ZaguVS+nkUzFrbcSu\na6ttWHbmOazaY69KN0WkJ7BTldaxI5PpWceuoz3MpZw4KUzmEJExrzDHTqmYA9oAuKOP+x4HBpWj\n4u5dwD/6ut/MXgD2L9qcr0tdnG6Juy80s+XArKK7Zif3N7OpwC2EoPIAd79nMO2dMqWVhobqGxHL\n5XKF/89ca8pqC4JXi71njHxAdMaM+hxKH1BbSB1rnj2T5jK8RyU9DuecSX1eRysNfSZKaIdtoLmZ\naRvPhYlDf191LCpvjWPQ2gypXNjeuQomTdBxKgO9x9Wlro/HpHCGMXW9WVCH78NQArsXCUVT7uzl\nvm3j/aXwR+B8M1vH3fOB2d6EAieP9PGYPwN7ANdCoaDKO4DL4+1mQlC6DrCHuz862MYsWtQ+nNdQ\nFuMy41jZvZLFC1awPFNzhT0HNGPGBF5//c1KN6MqTSJNE7B8XBvto/we6ThUDx2LEnvX+0jfvxPZ\nlSkY4vuqY1F5vR2DiV05Mqs6WfT6m0xZtpyudCNv6jiNKn0Wqku9H4+2rjBH6/WO3JC/10eqGgLq\noQR2PwTONLN2wppwAC1m9j7gy4T5dyPm7veZ2f3AT83sFMJI4AWENNAuADNrA8a7+6vxYRcDN5vZ\nI8DdhLTQiYT5fxAKvmwFvA94xczWTvzK19w9Rw1qTDexsntl1VbFlNGTWhEykHNTR1gVU6SeZTJk\nZ69T6VZICeUy6Z517GJVTBGpI83N5NLpuq1mmh7Cvl8nLBlwEeBx273ATYRlD75WwnYdArwan38e\ncIW7n5u4/zR6KmXi7rcDxxMqXT5ESLd8l7svjLt8CMgAv42Pewl4Of4sTuGsGU2ZRjKpTE2sEyel\nlWoPI8nZybU1x05EZFSlE3PsVnSA5k+K1JWOIz/Mm5d+F9JDCXHGjqGsY5cDTjCzbxBSI6cBSwjB\n19+BE4HvlKJR7v4acFg/959NqMKZ3HY1odplb/uPyUuyTZlxVVs4RUZXPrDTiJ2ISEImA9ks0FMV\nU0TqR3bDjVi54UaVbkbFDBjYmdm7gWMJyxNc4+63Av9M3L87YZRsK0oU2MngNKWbyCgNsy6l2kPB\nV43YiYgkZDIhFTObDYGdRuxEpI70GxWY2VHAj4BVhHXhjjCz97v7L2OVyUuBI4EuQoqmlFFTpolG\nBXZ1KbU8BHYasRMR6ZHLB3YrwtK2uWbNsROR+jFQVPBp4AFgP8IC4FcRCqg8QaiOORe4Dfi0u/e5\nhIGMjsZ0kwqn1KnUyrDYrkbsREQS4hy7QoGpVgV2IlI/BooK3gJ83N2XApjZ2cCThIIp44DD3f0X\no9tE6UtTpokGzbGra7lJkyvdBBGR6pFJQ7abVEcI7NCInYjUkYECu/HAC4nb/wJShNTLrWKRE6mQ\npkwTDSmN2NWjRbfeRdP//j7MJxERkSCmYhZG7DTHTkTqyEBRQQpIrnzdFX+eoaCu8pqUilm3urbf\nka7td6x0M0REqkqYY5eFjjjHTlUxRaSODHeRh/klbYUMS0jFVGAnIiIC9Myx64hLwrRoxE5E6sdg\nArvcILdJmYWqmJpjJyIiAsRUzC5SsSqm5tiJSD0ZzHDPt8xsafx/Kv78jpm9WbRfzt33K13TZCBH\nbno0C1a8UelmiIiIVIfiOXYtCuxEpH4MFNjdSxidSw4L/W/8qaGiCjtgw/dUugkiIiJVI9cQ17Hr\nyBdPUWAnIvWj38DO3fcsUztERERERiadIZXLkWqPc+xUFVNE6shwi6eIiIiIVJe4BExq+fJwu1VV\nMUWkfiiwExERkbGhKLDTiJ2I1BMFdiIiIjIm5NIxsGtfFm5rjp2I1BEFdiIiIjI25Efsli0jl0pB\nU1OFGyQiUj4K7ERERGRsyITTmtTy5dDSCqnUAA8QERk7FNiJiIjI2FCYY7eMXIvm14lIfRnMAuVl\nZ2YzgMuAfYFVwJXAl9w9289jjgLOBNYFHgVOcfe/9rHvZcAB7r5BqdsuIiIilVGYY7dsmebXiUjd\nqdYRuxuBtYDdgY8AxwFn97Wzme0DzAMuBLYFHgfuMLNpvey7H/AJwsLrIiIiMlYkqmLmWhTYiUh9\nqbrAzsx2Bd4GHOPuT7j7bcDpwClm1tjHw04DrnP3ee7uwAnAQuDjRc89hRAA3jNa7RcREZEKyWjE\nTkTqV9UFdsBuwL/d/fnEtnuAicA2xTubWQp4O4lgzd1zwL2EEb+k7wE3AXeVtMUiIiJSeYk5dmgN\nOxGpM9UY2M0B5hdteyn+nNvL/pOBtj4eU9jfzD5MSNM8vTTNFBERkWqSS8eqmMuWkWtprXBrRETK\nq+zFU8xsPeA5why34jrEK4Afx58F7t5lZjmgt8tv+W/uFUXbV+b3N7O5wDeB97p7h5mN6DWIiIhI\nFVptjp1G7ESkvlSiKuZ8YNM+7ssCpwLjkhvNrIEQBC7v5TEd8ee4ou3jEvtfBcxz9/vibS1sIyIi\nMtY0hNOaVPtyzbETkbpT9sDO3buAf/R1v5m9AOxftHl2/Fmcbom7LzSz5cCsXh4z38zWBfYCdjaz\nk+J9jUCjmS0F9nf3P/XVnilTWmloyPT3kmQUzZgxodJNEHQcqomORfXQsai8NY7BlPEApHI5mqdM\npFnHqCz0WaguOh71qxrXsfsjcL6ZrePu+UBub2Ap8Egfj/kzsAdwLRQKqrwDuBx4Edi4aP+TgcPj\nY16iH4sWtQ/jJUgpzJgxgddff7PSzah7Og7VQ8eieuhYVF5vx6Bp2Somxf930MAyHaNRp89CddHx\nqJxqCKirLrBz9/vM7H7gp2Z2CjATuAC4KI72YWZtwHh3fzU+7GLgZjN7BLgb+Byhiua8uKj5s8nf\nYWYLgS53f64sL0pERERGX6YnwyanqpgiUmeqsSomwCHAq4QlC+YBV7j7uYn7TyMx0ubutwPHA58F\nHiLM4dvX3ReWrcUiIiJSWZme05pcq+bYiUh9qboROwB3fw04rJ/7zwbOLtp2NXD1IJ//a8DXRtJG\nERERqTKJETtUPEVE6ky1jtiJiIiIDEkunUzFVGAnIvVFgZ2IiIiMDck5di0K7ESkviiwExERkbFB\nxVNEpI4psBMREZGxITnHTiN2IlJnFNiJiIjImLDaHDsFdiJSZxTYiYiIyNiQXO5AxVNEpM4osBMR\nEZGxIaOqmCJSvxTYiYiIyJiQy/Qsz6tUTBGpNwrsREREZGxQ8RQRqWMK7ERERGRs0HIHIlLHFNiJ\niIjI2LDaAuWtFWyIiEj5KbATERGRMSGXTlbF1IidiNQXBXYiIiIyNmiOnYjUMQV2IiIiMjbEwC43\nbhykdYojIvVF33oiIiIyNuQDO61hJyJ1SIGdiIiIjAm5dD6w0/w6Eak/CuxERERkbMjPsdP8OhGp\nQwrsREREZGzIhNOanAI7EalDDZVuQG/MbAZwGbAvsAq4EviSu2f7ecxRwJnAusCjwCnu/tfE/ZOA\ni4GD46bbgFPdfcGovAgREREpr4xSMUWkflXriN2NwFrA7sBHgOOAs/va2cz2AeYBFwLbAo8Dd5jZ\ntMRuvwS2A/YD3gVsAVw1Cm0XERGRCijMsdPi5CJSh6ousDOzXYG3Ace4+xPufhtwOnCKmTX28bDT\ngOvcfZ67O3ACsBD4eHzOvYDdgMPc/a/u/hDwuXCXKV9DRERkLMjPsdOInYjUoaoL7AgB2L/d/fnE\ntnuAicA2xTubWQp4e9wHAHfPAfcSRvwgjNA97O7PJva5093f4u4dpX4BIiIiUgENYYaJljsQkXpU\njXPs5gDzi7a9FH/OBR4sum8y0NbHY3aI/38L8IyZnQqcBLQCtwOnu/viErVbREREKklz7ESkjpU9\nsDOz9YDngByQKrp7BfDj+LPA3bvMLAf09k2dT6RfUbR9ZWL/icD2wDTCnL024BLCXL69h/VCRERE\npLqkY1XMVs2xE5H6U4kRu/nApn3clwVOBcYlN5pZAyEIXN7LY/KplOOKto9L7N8JZIBD3L09Puex\nwINmto27PzLE1yAiIiJVKJfJaMROROpS2QM7d+8C/tHX/Wb2ArB/0ebZ8WdxuiXuvtDMlgOzenlM\nfv/5hHl77Yn7n4w/NwD6DOymTGmloSHT190yymbMmFDpJgg6DtVEx6J66FhUXq/HYMoUWtefS6uO\nT9nos1BddDzqVzXOsfsjcL6ZrePu+cBsb2ApfQdgfwb2AK6FQkGVdwCXx/v/AHzIzCYn5tRtSUgH\nfaa/xixa1N7f3TKKZsyYwOuvv1npZtQ9HYfqoWNRPXQsKq+vY5C+5S6yM9YCHZ+y0Gehuuh4VE41\nBNRVF9i5+31mdj/wUzM7BZgJXABcFEf7MLM2YLy7vxofdjFws5k9AtxNWMpgImFtO4AbgC8BN5jZ\naUALIei7290fK9NLExERkVGWXX+DSjdBRKQiqnG5A4BDgFcJSxbMA65w93MT959GT6VM3P124Hjg\ns8BDhDl8+7r7wnj/CsKo32LC6N0twF+Bw0b9lYiIiIiIiIyyVC6Xq3Qbqtrrr7+pN6hClE5QHXQc\nqoeORfXQsag8HYPqoONQXXQ8KmfGjAnF1f7LrlpH7ERERERERGSQFNiJiIiIiIjUOAV2IiIiIiIi\nNU6BnYiIiIiISI1TYCciIiIiIlLjFNiJiIiIiIjUOAV2IiIiIiIiNU6BnYiIiIiISI1TYCciIiIi\nIlLjFNiJiIiIiIjUOAV2IiIiIiIiNU6BnYiIiIiISI1TYCciIiIiIlLjFNiJiIiIiIjUOAV2IiIi\nIiIiNU6BnYiIiIiISI1TYCciIiIiIlLjFNiJiIiIiIjUuIZKN6A3ZjYDuAzYF1gFXAl8yd2z/Tzm\nKOBMYF3gUeAUd/9r4v5tgIuBHYBFwE+AM9191Wi9DhERERERkXKo1hG7G4G1gN2BjwDHAWf3tbOZ\n7QPMAy4EtgUeB+4ws2nx/snA7cCTwDbAx4BjgHNH7yWIiIiIiIiUR9UFdma2K/A24Bh3f8LdbwNO\nB04xs8Y+HnYacJ27z3N3B04AFgIfj/e/HZgO/Ke7P+vudwLXAPuN5msREREREREph6oL7IDdgH+7\n+/OJbfcAEwmjbasxsxQhcLsnv83dc8C9hBE/gNfjz5PMLGNm6wIHAg+WuvEiIiIiIiLlVo2B3Rxg\nftG2l+LPub3sPxlo6+MxcwHc/S/AecBXgRXAv4A3gE+WpMUiIiIiIiIVVPbiKWa2HvAckANSRXev\nAH4cfxa4e5eZ5YDmXp6yNfHYpJX5/c2sGdgYuBr4LqHAyqXA5cCxw3wpIiIiIiIiVaESVTHnA5v2\ncV8WOBUYl9xoZg2EIHB5L4/piD/HFW0fl9j/dGALd98y3n7YzJYCd5nZhe7+974aO2PGhOLgU8po\nxowJlW6CoONQTXQsqoeOReXpGFQHHYfqouNRv8oe2Ll7F/CPvu43sxeA/Ys2z44/i9MtcfeFZrYc\nmNXLY/L77ww8XHT/A/HnxkCfgZ2IiIiIiEi1q8Y5dn8ENjSzdRLb9gaWAo/08Zg/A3vkb8SCKu8A\n/jduehHYsugxWxLSQf9ZgjaLiIiIiIhUTCqXq75HSwAAIABJREFUy1W6DWswsz8Rgq5TgJnAVcC3\n3f3ceH8bMN7dX4239wNuBj4D3A18DjgI2DSO6G1NGKG7gjC3bg5hAfR/uvvBZXxpIiIiIiIiJVeN\nI3YAhwCvEpYsmAdckQ/qotPoqZSJu98OHA98FniIMIdvX3dfGO9/FHgnsBVhiYOrCAuWf2i0X4iI\niIiIiMhoq8oROxERERERERm8ah2xExERERERkUFSYCcVEQvcFH5KZZjZ7PhTx0FERHqlPkKkNiiw\nk7Izs/OA7wO4u3KBK8DM3mNmDhxvZikdh8orqgQsFWJmjZVuQ70zs7mVboOAmW1vZvuY2ZRKt0VE\nBkdz7KRszOwI4FvAIuAkd7+7wk2qO2a2PnA1sD1wQVFRIqkAM2sBfkBYouU9sdiTlJmZNQMXABOB\np4GfufuzlW1VfTGzQ4BzgS7gBeAyd79NF5/Ky8xmANcQ+oklwDLgO+7+/Yo2rE7F76ZDCctz/cvd\nXzeztLtnK9w0qUIasZNRZ2aTzexm4FrgDGAzd79bqR3lZWbvInQMbwBzE8uH6HugQszs88TjAbxb\nQV1lmNkWwJOEysmvA18EzjKzqRVtWB0xs4OAbwLfAS4mLHl0ooK6ijgZaAW2AD4M/BpoB6VklpuZ\nfYRQJf504FfAL81sioI66UtDpRsgdWETYD3gP5NX/JKdtTrv0ZO4svcS0A1c7O6LErs0AKsq0rg6\nFa/Afoew5MpR7v6LxH36LJTfgcA/gEPdvd3Mvg+055fMkdGT+H46EHgE+F68fU3RfvpcjKL8+2tm\nk4HjgG+6+2vAa4R1gAFNnygnM1sb+BTweeCHhM/INkCbmS1RcCe9UWAno87dHzSz5whX/wAwsw8S\nFp//P+Bud2+vVPvGKjOb7u5v5L/83f0JM/sj8EngT2a2O/AJIGtmTwM3uvuTSvEYfe6+wsxWAncB\nhZRkM2tNfhZ0Mls2ewKLE+/9MmCmmWWAl929s2ItG+MS3zW7Atfnb5vZh4FZwDPA7e6+vEJNHNMS\n/UT+e2YlsJzwGcDMdgM+He97nJCirH6iPN5D+Az8Kn4H3WRmv01+H6mPkGKaYyclFdP9Pgw8RQjY\nHojb309YbP5QQprTTELHYcDfgKPd/aVen1SGJM6PuBzYGHiOcFL0nXjfYcBVhLlEhwL3AROAHQip\nN+buKyvQ7DEvpvUtTpy4vpUwQrGNu//dzM4npAIuBR5094sq19qxKaaRHQX8G3jO3V80s1bCZ2Ip\ncCrw2fjzRWA28CN3P70yLR57+ukjriH0C4cD1wHrE9KUtyB8TtRHlFAv/cQd7n5Z/J76OWGU7i/A\n2YQLUK3A24DxhOkUKyrS8DGslz7iSMLI6drx9jeA7YDFwH3ufmHFGitVS3NrpCTMLG1m5wA3EOZG\nHAT82sw+b2YN7v5z4HngUuBPwNsJV6N2BXYi5PTLCJnZTOBnhGNwHqEAwbfN7HQzmwA8CDxEeL/P\ndPeT3f0Y4AggA5wTn0ffDSViZseb2TPAb4HbLGh0978TPguXmtklhM/CnUALcI6ZfbVyrR57zOxA\nQlrZF4Drgd+Z2W5xlO4fhBOmPYCdgWOADxKKPR1hZl+vTKvHjj76iN/E76YU4bupEfgSIaB7O/A+\nevqIT8URVBmhPvqJb5nZf8b04weAdwGHAD9x98+4+wnAkYR+4mvxedRPlEBvfUS8axHwspl90Mwu\nIBSzuYFQXOgs9RHSG30opVTWJuR/H+PuH3H3XQg54R8gpP4B3EYYofuDuy+J6R9PE0aPjqpEo8eK\nxIT2DQhzGr/o7j9x908SCtb8B3Ckuz9PGIn4G4l5E4TCEdcD28egQyk2JWBmHyDMjziPMKeuhdAx\nHxx3+R6wFyHd5gh3v9jdDyKMGp0W51jICMUT0E8RqixuARxA+Pu/0cx2IhTr2JQwcveUu9/m7v8A\n/ocw1+tDKqQyYr31EfMI3/0fAW4kVCT9OPCYuy8Glsfj8NW4n1KMRmAw/YSZHUOoTLoJYWT1z4mn\neBL4EbCHmTWrnxi5PvqIn5vZAYT3vhN4L+Hixqfd/XvufgTwOUIfsW5lWi7VSoGdjEiio5gIzCGk\nCORdAtwPnGxhIexvAG919zvjY/N/f0uAN2NqiAyBmY2D1Sa0bwksiP+I950HPEE4OX0LcKy7H+ju\nbyT2yQJbE+cTqfLZ8PTyvr0PeMjd57n7j4C9CVfHP2FmmwGPEjrvW9z91cTjfkYYXdq3DM2uB1sB\nbyGepLr7Y+5+LPAK8GXCydQXgRms/tlpJ6SprQQmlbfJY8Mg+og/E4KKdkIQPTnum/Qq4Xxlzqg2\ndowaQj/xGPAxwt/6p+Jd2yX2yQIbAS8Dq9RPDN0g+4h/E4K98YQL5EcCjUVVk39C6CPeO/qtllqi\nwE6GzMx2iekzexHmoABMIQRo0/P7ufvLwE8J6QRfcfdX3d3NbHMzm5S42rc78Ht3f72ML6OmmdkE\nM7scuNLMvmxmW8e7HiDMSVkv7tcUt19KOGE6klAspcnMTowT4zGzHQjH8GZQ5bMRKHynxtTXiYDH\n26k46f0SoBn4lLs/5e67uftVRc+zMSHY+Fc5Gj3WmNkOZpYMAhYB6xBPZC2sHQjh5GkHwgjqlYRi\nTvskUqEgfG4WEIJAGYQh9hE/IQR7ZxBGLG4Gjjazzd29K+66G/C7mHEggzTMfmIKcJy7X0lIDT/K\nzI4xsylmtjlhtO9Wd8+qnxiWwfYR4wgXm75HuEA+28y2TzzPbEIBxBfL1G6pESqeIoMSrzI1ARcB\nxxLmaW1EOOHZz91fMbOHgb8DH3f3jvi4/JyJgwjpNu3ALwknWd8jBHXrAx9092TKh/QhjvT8ilAt\n7lHCe5sGPhwrkN4HvObuB5lZxt274+OuBNYlpMduQlhXcG3g94R0wB8Dn1QFwKGLFfw+SriCejdw\nrbsvN7OfA9OAdwOr8idCZnZu3HaGu99uZvsCOwJXAB2EUaSdgA+4+4I1fqH0yswOBi4DFhLSWy8F\nrnH3f5nZA8Dz7n64JSr6xWM0kzCnaCfg+/SMHrUBpwDnuPu3TBXo+lSCPuJQwndZMyE1dg/Cd9NU\nYEPCsiB3lfM11bIR9hMbEb6f1gNOJEyn+CvwVkIq+YnuriVyhmCYfcR7COdNkwnfZYsII6mvACcQ\nRusOdXcFd1KgETsZlPhl8xbgnYTS4HvFn1ngF3Ey9pcIQcP2icd1AvcSJlxvCjxLKExwLSGgewDY\nUEHdkOxGSE063N2/AOxPqDB3TZyTdRnwXjPb1d2782k4hKuAewJruft9hBPZYwhXZXdy9xMU1A2d\nmZ0FnE+YQ5oGTiOkUgJcSDhB3dXDGlH54g8/J6T3vS3e3pvw+fk98DChcMfZCuoGL34HnUk4ATqA\n8N7vSwjUIARqu5nZLu6eTXwuziIch+3c/R7CXK4HCBedDgA+6u7fAo1k96cEfUQK2Nndn3b3AwgF\nnu4HbgXmKKgbspH0E28H1osZBZ8ipDKfSfiMfFRB3dCMoI9oBw5x93sJC5RPIiwWfx8hZfYLCuqk\nmEbsZNDM7FRCEY698iecZrYRYY7ENYQJ1zcSvriOTM4ZMrMXCVe9r0hsa8wHEhYqZ3YhaygeJTCz\nHwFru/u7EtvWI1whv5ww6vNtQsD81sQ+0wlXy09w95vK1f6xxnoW8k0TqvjdBvzG3S+K27YD/kAo\nCnQpYY7EzFgsIvk8PwamuvsBFkrub0i4+JF29xvK+JLGhHhF/L8JS3a8GbftTzhBOh24hRDkZd19\nv3h/Jp7U/pWQXnZm4vmaXSXdh6QEfcR/ufsP+nhu9RH9GIV+4nh3/1W52j+WlLiPmOLuB8bbEwjz\ngNd397sR6YVG7KRXZraZmX3AzLYxs2lx85vAuokOu9HdnyHMiziI8GV1EuFq34lmNjHuN5ewRtTL\nyd+RL9IRvwTVYReJ8+DOJZS+P9F6iss8DGwQr4AT08r+TbiieiphvaGzCAssXxzffwhXz18hXB2X\nYcqfPMVUvhmEOVr59zTl7n8lpFJ+DtiW0HlvZWanFk2cfxLYKP79t7v7E+7+cwV1g2NmG5rZ+MSm\nhYSqiY2JbXcRgr3zgBWEwG57M/skQAzq1iLMc3k2Pm863qegrh+j1Ef0Oo9RfUTfRrGf+EM5X8dY\nUuI+YuP8Nnd/092fVVAn/VFgJ6sxs2Yz+yHhCusphDS9y2N6wG1Azszya87lv4DOI5xQHemhNPUX\nCZWe7jazEwglxDtYvbw+EL4Ald60JjPbj1A4Y0/CfMSLCOvRzSF02EsJC/nmOw8IpcNfAk5y978R\n5rkcBPzRzH5BOA6/AZaYqpkNmZm918yuMbP/MbP9zWx8TIN5nlCUpsDdLwbmE0q3P0pY5Pcc4P1m\nNinOK9oNuF5//0MTj8OThFSmx8zsuDjiuQx4nZ6lJIgpYz8gzPP6fAyavwVcYqG4x46E1MAsYQ5R\n8vMkvRjlPuIvvf1OfUZ6p36iuqiPkGqgwE6KnUCYOL0nISf/FMJV1rM9VDD7GWH5ghZ3X2VmTTGd\n8tvAkTG16WLC/IinCBPinwfe4e6vlf/l1J44YnAC8EN3393dP0qYc/VW4P2ERa1fBPY1s43jYzLx\nJPYy4JDYofyacJL7X4QJ9Pu4+5fdvVsdxeCZWZuZXU04IXoV2IWwdMcZcZffAnub2fpFc1U+S/j7\n39DdLyCkoF1AmDj/KKHypVJih8DMPkQorPE9wqjDrcBXgOMIn4slwF5mtk7iYa8Q0p2OMbO13P1s\n4OuEgO56QmXML7j742V7IbVNfUQVUD9RPdRHSDVRYCcFZtZArGbm7o/GeSo3Aw8Cu8eO5CbCldez\n48PyX/w/JSykuTuAu9/v7kcTJv4e56H6UwYZjI0JqRtPJ7b9llDaeMPYMf+UsKbTsRBSyuJ+Cwmj\nE1Pj9sfd/Up3/7y731+e5o85OxJKg+/l7qcTTmh/DhxuYXHYW4FVwCcA3H1lTHu6BfgncHR8nlMJ\nJ1xXAd9y97e4+yPlfCG1KjFysB9wv7tf6u5/cveTCesCvjN+Bq4hXOXeL//YuP1BwtpQW8RtZwC7\nAu9397maczo46iOqivqJ6qE+QqqGAjtJmkzoeF+HwryG5YQS1l0xleOPhKvcJ5nZ9t5TRXEXQtrH\nv5NP6O7tcR5dOtGpSP9WAhMIJ6zEk50U4djkF5q9DrgHOMDMjkg8djZh1OKl/Aal0wxP4n3bnvDZ\neAFCp0xYyHcG4Tj9iZCWtp+Z7REfk4upNM8BjfGEt93d/+bu33L375bxpdQ8D4UI2giVXP8GhSCD\neNvifvMI81KOSBwLCJ+prQjlwvMjF506aRoy9RHVQ/1EhamPkGqkwE4K3P0NQqWsW+OJT/5K68bA\nE3GfpYR0g98AN5nZGRYWuT4eeISiAinxMTnNW1mTme3Sy7b8BPcDCJXJ8ldZJxOOw+2J3S8hrodj\nZteZ2bcJc1d+4u5diQnXSqcZhsT7NoNQSa450ZEvAsYDuXhl/BrCXJdvJh7bSFgH6m8eFvPVZ2CY\n4udiOfAj4I2iYhpbElLI8s4ivPfnmdl2ZjaFMIJ3N3HBdwUQw6M+ovzUT1Qv9RFSjbTcQZ2yxAK9\nydu2+kKlaUIn8TRhAfEbEvunCB3GDoTFfR8FjnP3xeV8HbXKzN4J/I6QQvb7Qex/HPBdwsLiLwOF\n+Q9mdiKwOaFc/jfd/c5Ra/gYZWZNQKevXi48/5mYSFjY/el8MGGhCt2R7r5xYv9tgesIqVB/IhyT\nRkK6XzLwkGEys2boqVhpoRrjo8Dl7n6u9ZQZ35VQ/W8HwijRJMKi2Eq5HCT1EZWnfqJ6qI+QWqHA\nrg4lO2wzm+TuS/rax8xOIhQa2MDdFxbt00AY9Z3h7vOLn1v6ZmaTgB8D09z9bf3slyKk1/ySsLD4\nron71vbEOlAyfGZ2AJBx91/bAOtlxWPyOGGu13/E4hCr4n2zgCOAbYAXPbEumgyOFa3HNcC+exPm\nFe3g7n9PPjamORmwkWs9riFRH1Ed1E9UD/URUisU2NUpC2vdzCN8+Xzd3Zf1sd8fgEXu/r54exdC\n6eoD3b0jsV+KsD6LOux+FF3t3o2wztYn3P2H/TxmLcJxusDdLzazycCFwE7AAfkTJhmeeLX1WsLI\nzocJi/q+kjxWRftvS0i7+YC7/yxuSxEWkl0Yb+vkdYisZ/24Ad+3xMjclcDbgE29Z0HgDxJSm57u\n/1mkP+ojKkf9RHVRHyG1RHPs6pCZvY9Q7riLMF9ieR/7rUuo9nStma1lZtcD/wvMd/eO5GRrzZEY\nnERnPcXd/whcCXw1dhx92ZSQq397vDr+ArA1cIQ665GJAcJS4NeElLE3gV9Av/Owdk/uZ2aHEdYj\n+nx+B30WBs9C4YxUfo6JmW1vZseb2TbJfZKPiUHcFOCdwA3x9gfpOQ6dyLCpj6gs9RPVQ32E1BoF\ndmOYmaWLT4jMbCvgS8B7ge/ECdh9VcOaROjYPwg8C6wFbOKhRLUmWw+DmY0zs/8m5NkDnA9kgC/3\n87AtgRbCCdPZwLHuvpO7+6g2dgyLKWLJv+G1CHNPXgU+Gffp6/txH8IV9HXM7E+EVKmL3f0Lo9ro\nMSqe8OfMrNHMriJUVTwDuM3MTom79XYsZhM+Ozkz+w3wQ+Ab7r6N5qsMjvqI6qR+ovLUR0itUmA3\nRiWugOfMbF0zmxqH/h8jpNfkCFda+zMLaCWsg3OYu7/T3Z83s0w/X2h1zcxazeztxSdLeR7KILcD\ns83sw+7+L0K6zKfN7C1Fz5V/j18kXDH/qrvPcPdfjN4rqA+JCe57mlm+HPWHCFdZD477rHFF1cxa\nCJ37wYQy1c8Ak9z9G2Vq+phkZh8BPgNkCcU49iNc7T4/jlp09/Kd00n4jjoDeA2Y7O4XlbHZNU19\nROWon6h+6iOkVumLd4zIdxCWKF1sZpPM7OfAA8AfgOvNbD3CVcBbgYPMbG5Mf1rjb8Hd7yAsHruj\nu98eU6Yy7t6tNII+nUO4UrdBfoOZHW6rl6yeR7i6fZyFqn7fJVSV++/kEyXe4z8C0939m6PZ8LGq\nt5MnMzvYzOYT0s2eAvaMcyEeBPYxs73ifunk88Q5Q/MJV8XN3Y/JT4qXgcURonTRtrnAgYRRicXu\nPt/dnwK+AzwPfLuPp2sAzgU2dveP6jj0T31EVVE/UUXUR8hYosCuxpnZFsnb3lMRbjfgVMLV1MOB\niwj54T8grHVzOdAMnBgft1onnOj8fxVvN8SUKa3/1L+vE9avOT6e5GxBSIv5XH4Hd38BuBGYCpzo\nYX2u/wIONLN9i5/Q3RfEK7gySGY208xmmdlUitLIzGxzQnGHbwK7EdKbnop3f5+w2PIRZtaS/Fwk\nUnI+6O57Kd1vaOIJf34e3UZmtr+ZtcXPw/cIi14vTTzkH4Ry+Uea2Q7xcflFyXH3J939LHd/tryv\npLaoj6hK6icqTH2EjFWqilmjLJRBfgJYBzgE+H2c4Eu8knQX8ArwUXe/LW5/DyFt6Q/ufrqZXUZI\ntTnZ3R+0Pio8ydCY2ScJV1V3d/eHzOyLhPLG/+3u18d9JhJGIrYgrHXjZnYLsB0wS3NThsfMxhOC\ngZ0Ic3+mE0Yivubuf4/7fJWQJrN9bydCZvYF4EjCMbwFWKrPxdCYWSuwLfBnX33dpzZCwPAeQirl\nE8CX3f3PZnYJ8DFCxbnlcf91CcU71nL37cr8Mmqa+ojqpn6iMtRHyFinEbvatQx4ElhMuLJUSM/w\nsJDpDYRFYd9IPOYW4DFg1/jldh3hb+BL8XH6YiqNy4B/Al+Jt68nzH841kIlP+IJ1p2EDvvkuN8Z\nhE5dnfUQJFLM9iN8JmYDnyUsUH0WoULZz+I8LghXZ7P5Djs/CmRm7zaz8wmd/kvAN4AFwJ5lezFj\nR2+pZhsAtxNGIPYlBBsTgRNjIPg9wvtdSCVz9+cJRVG2MbOdytb6sUF9RHVTP1Em6iOkniiwq10T\ngZWEk6BfEdKVbkic/OSrZ21rPdWdsoSTrS2ALnf/E2FB05+WteVjXOxwTwfea2aHxInvvwTWBj6a\n2HUSYc7Ebma2rbv/zd0vLnuDa1ziBOdEwsnqge7+O3f/jYd1n/YhnDBdGE+YngEyZnZwfFw+lWYf\nYNc4R+IkQse/nbvfVa7XMobkU81OMLOmuG1HwtXxw939QWAJMJdwUnV4nFf3P4QT280Tz3UrMMfd\n/1K21o8N6iOqmPqJ8lEfIfVEqZg1yHoW570OmEYoPHAIcA1h7Zrj3f0eM/sfQjrBAfGkKZ9CcADw\nPndfnH+uyrySsc3MbgLWJ+ToZwhX+fYmnPSuIHTePwDucPeXK9TMMcHMDgGuBvZy94cS29Nxbtb+\nhLWgfkq4Qv5rYCHwIXdvj/veALzg7p9b4xfIkMVUswsIRQceNLPTCVfKzyPM6ToE+DOwM+EK+bFA\nN3Ab0Ozum/f2vDIw9RG1Q/1EeaiPkHqhEbvadjuhM5jtoVrTYYSr5D8xsxPd/TNAGyHF4AsW1oT6\nHHCTuy+GQmW0vtYokpH5T2Az4Ch3X0KYK3EPcBrwVeAad79anXVJzALezHfYib/p/AnpvcBNhBPW\nHCENan3gYTP7Yjy52hW4uZyNHuMuA/6PkDoG4aTp64SRuz0JC4ufBfwu3j7e3V8jVLq8styNHaPU\nR1Q/9RPloT5C6oICuxqUuHq6AlgFbBpvP0u4OjsZ+I6ZfYbQMWxO+EJ6L/Cp4jQOXY0tLYvlj93d\nCfODToq3/+ruxxCujq/j7t+vYDPHmplAh5ltBj1/0/mT0liM4yFgCiG16efAQYQS4TsS1iba3t3/\ntxKNH4uKUs0OJsxF6QC+RijacXXcdRPCKNLJZvZ2d/+lu19YiTaPFeojqp/6ibJTHyF1QYFdDUpc\nafo9oRz1hmZ2OfA44arTgYTKc98gVG6CcEJ1tLtfF8sr69iPAjObQUijyVsMvGZhQdpkRy6ldTth\nUdgtehldyP+tP0ZY+6zFwzpb/3b3jxFSbY6Oo0VSQh7WObuZUKRgImF0aENCAYNxZnYk8FZC6tN2\ncU6XjJD6iOqmfqIi1EdIXWgYeBepNomrp1nCpOrvEOaqvDsxifcuM3sOmEC4Qn4z8FszuyFWetIV\n2NFxGGEC9n8T1r35EPCtfI6+jJoHgfuAU4A/AS8l5gblJ75/jLDg9SvJeUPuvqISDa4j/0k4YfqA\nu19hZr8ipGR+kbCG2mfc/bpKNnCsUR9R9dRPlJ/6CKkLKp5Sw2K1uTuBFuAgd38pbl9jsruZ3UGo\ndLazh4VPZRTEtaNOJ1TPmgp8TxXMysPCor23ECorfiv5d25mWwEXAj+Ic41klOWLEsT/fw94m7tv\nFa+W7wKs6+6qtjiK1EdUJ/UTlaE+QuqBArsalajk9D/Aoe6+Xi/7pICMu3eZ2VrA3u7+k7I3tg6Z\n2UzgDXfvqnRb6omZfR74FPAqIdVsIaEwwamEEYlT3X1Z5VpYH2Kq2dbufme8/XVgB+DgOJdFRpn6\niOqnfqL81EfIWKfArsaZ2ScI6xRt7+5P9LGPylVL3TCz3YGPA1sTFpFtBs5399sr2rA6YmYnEq5+\n51PNLiJcIf9GRRtWh9RHiKxOfYSMZZpjV/uWAdcB/+prB3XYUk/c/Q/AHwDMbLq7v1HhJtWj64E5\nhCIdRwOXKNWsYtRHiCSoj5CxTCN2IjLmmFnG3bsr3Y56p1QzEalG6iNkrFJgN0YkCxWIiIgkqY8Q\nERn7FNiJiIiIiIjUOC1AKiIiIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhIjVNgJyIi\nIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhIjVNgJyIiIiIiUuMU2ImIiIiIiNQ4BXYi\nIiIiIiI1ToGdiIiIiIhIjVNgJyIiIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhIjVNg\nJyIiIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhIjVNgJyIiIiIiUuMU2ImIiIiIiNQ4\nBXYiIiIiIiI1ToGdiIiIiIhIjVNgJyIiIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhI\njVNgJyIiIiIiUuMU2ImIiIiIiNQ4BXYiIiIiIiI1ToGdiIiIiIhIjVNgJyIiIiIiUuMU2ImIiIiI\niNQ4BXYiIiIiIiI1rqHSDRARqSdmdiXwkV7uWgm8CtwJfMndXxvGc2eBq9z9o33cfg54zt33Hm77\nh9Gms4CzijbngA7gn8DVwCXunivh7xwPNLv7G4ltHwK+CswCfu7uRw/yua4CjnH3dLx9FvAVYAN3\nf36E7dwD+H3R5hywCHgQOMfd7xvB82/g7s+NoImj/XwzgTOA/YHZwHLgYeAKd/9Z0b73AO8oeopu\nYBnwCHChu98S9/0zsAvwbne/o4/ffR7wBeCz7v7NUr0mEZFKUmAnIlJ+OeDTwILEtonAPsBHge3N\nbEd37yrx7/0U4eS53HLA14Cn4+0U0AYcBFwMbBDbNmJmth1wM/Ah4N64bSrwQ+BZ4BRCQDmUtieD\nzl/Ex79eivZGN8Z/EPrlmcDRwN1m9jZ3f3ioT2hmtwPzCX9PI2ZmlwMbA+8s0fPNIQSvOXqOzVTg\n/9m77zjJizr/46/vt+PE3Zmd2bzLrgIFEpTgKYZTQUBPxXQeGDi588ycGFDMWU4PMyIY4BQwnxgw\nIKIn/sCAioIgFCDsLptnd3Lq8P1+f3/Ut3t7esLOzE7o3n0/eeyjp6u/32/Vt2uW7U9X1adeCHwr\n/v1/W8UppX54Ge73B9yso3bg1cD1xpgXWWuvA14L/BG41BhzrLW2UFX30cBbgNuAz8zF/YiI1AIF\ndiIii+MHE4z4XGGMuQx4DfA84H/nskJr7Q/n8nozdJO19teVBcaYLwG3Aq8zxnzUWrtjDuo5Djcq\nN6YqIA18zlr75QO5uLX2LuCuA7nGBO5CTnbEAAAgAElEQVS01n69ssAYcyWwGXgH8C+zuObpwFcO\nvGllZwBzNlqHG/VsAo6y1m6vKP+4MeZ64M3GmKustfdWnmSt/Ub1hYwx3wD+jhuRvc5ae4cx5rO4\nL08uissrfT5+fOVcjhSLiCw2rbETEaktX8WNSDx+sRsy3+IP1d/B/Vv0uDm6rDdBWSZ+HJyjOuad\ntXYv8FfgmMVuyzw5Bbi3Kqgr+QyuH0+ZzoWstV24Ka3GGLM0Ln4vbsTyHcaYDaVjjTHnAk8BPm6t\n/evsmy8iUns0YiciUltKUyXHBCjGmOcCbwNOwK3H+zXw7pl8ODXGbAIeLK2xi9fc3QDcghsZeiTw\nMPBpa+3nq859JvB+XKCxC/gEcCJwmrV240xusEoYP5b/PTLGHIsbZXkKLii7A/iotfYHFcf8HzCK\nm3L3RmAY+H/AC3BT9n4V3+/NuDWNEfCVeI3jRmvtFmPMetwU0TOBFsCyn1E9Y8z7cUHDhtKIazzV\n88PAWUAHsAn4H9y6r3DiK03LGtyas8r6M8B7cFNN1wBbgWuBD1trC8aYw3AjaxFwnjHm5cDTrLW/\nNsasiNv+jPjcUeBPwHustb+Z4p7D+HqHGWMC4N+stVfHr70COB84ChgAbgTeZa3dvJ97GwBOMMY8\n3lr7u8oXrLU3GWNSM3zvxvweWWuHjDEX4KbOfgp4vjGmBbgEuA/44AyuLSJSFzRiJyJSW56J+xB9\ne6nAGPN64Hu4D63vwAVV/wD8xhhz0gyuPdG0s2fiRki+jQuQBnFrk55RUf+zcevWEnH934nb8LxJ\nrjkTT48fb4/reizwO+CxuA/h7wBSwPeMMa+tOvdJuGmKF+ICqQ8AX4xf+3B8P1cAF+MC5S/g1mh1\nxaM4fwSeE5dfiFvz+EVjzEenaO+YNXfxCNFvgX9j33v4N+C/gK9N8z1oNMYsi/90GmMeZYz5MrA8\nbnupLh/4MfAm4Pu49YK/AN7Fvmm7Xexbh/br+Od7jDFZXAD/wvi9ei1wOXAycIMxpmOK9r0M997c\nE/9cWrt4CfAlYDfu/fsSbt3k7+OgeSpX4oL2W40xNxlj3mSMOb704kyCOmNMI27Ed2tlwhxr7feA\nnwBnxYlq3gN0Aq+21uame30RkXqhETsRkcXRboypTGSyBDeS8j5cYPBNKI8GfQwX7PxjKaGKMeYa\n4G7gMg5s2uZa4NHW2rvj634f2A68FDeaB/Bp4AHgCdbafHzcrcAPgP5p1rPEGLMs/tkH1uGCoWcB\n37XWPhi/diku2+HJpTV3xpjLgd8AlxhjvmWt7Y6PbQReaq39Y6kSY8xvgVdSsaYvDmreCfy2tEYr\nDt7a4nruiE+/zBjzQ+BCY8xXrbX3TOO+3o5LKvI8a+31cdkVxpjPAa+Nr3PD5KcD8FbcaGylCPiE\ntfb3FWX/CjwNONNae1Nc9kVjzG3AF4wxz4nb8HVjzLW40dnS/f4L8Iiqc0ujtpfjguTvT9Q4a+3X\njTEfAXZVXO9o4M24vntRxfV+gAt0/xs4Z7IbttZeaYxZjhtBfBpQGkXeCVwDfMRaO+53q+J3CFxg\neER8jRXAGyao6nzc35PPx/d/lbX25snaJSJSzzRiJyKy8DzcCFVXxZ8HcAHc93EBXBAfexrQgPuQ\nX86SGU91uwZ4bDzFbrZsKaiLn+zCTbVcCRCPojwCuKIU1MXHXc++LJf74+GCwNK97sKNlr0aN43w\n3+K6luNGIq+uTKQS13sJ7n04veK6I5VB3XTFI1//BPysIqgr+Qju38azpnm55wD3VAR1JR/C3fdz\np3GNa3Ajl0/HJSk5Bzfad2E8clfyAtz79+eKEb5luAA8BJ49WQXW2m8Dy6uCuhT7pvw2T6OdlUp1\njRndtNbehpuO+az4fZ6Utfa/cAH+64Ef4aZnrsAFun+Ofx8qeYz9O7MV+CVuSvB7rLWXTVDHJlxf\nHA30xtcWETkoacRORGThRbgRsd24aYbPxH24/Tbw2soACrcVALh1QdVKI0qH4YKl2ZgobX8ON+0S\n3GhUhAs8q90LPGYadUS49PJ3xs9D3If4e6y1wxXHbYgfJ7tXD3evJXsnOG46OnCBjJ2kHqrqmcpG\n4KfVhdbaXcaY3mle50Fr7S+ryr5tjAH4N2PMF6y1f8Ctgexk4j6LgP1Nf4yMMe/AJSV5JK5vU/G5\nM/2id3+/l2fg3ucp92OMp05egRvlTOC+yPggbiru+3B/L8rtxwW/pWC0SDxFdD9TN7+Bm9L6U2tt\n71TtERGpZwrsREQWx28qtjv4mTHmAeCzuH25nl9x3ERZHktKH8bzUxyzP/tby5SKHydakzQ6g3pu\nr97uYAIzvddgogOnYS7f0/1d60D65ju4NW1PwO35lsDtoffaSertmexCxpgjcdNZk7gRtW/gNvb2\nmWQK5n7M+j2Mp3H+G/DVqtHiALjRGHMLLgHNk6rPtdZWb+guIiIxBXYiIjXAWvs5Y8xpuEQPF1hr\nSxsnb8J9iD4Kl/6+0lHx49Z5bNqDcf1HAjdVvXbEHNe1KX48aoLXSmXVe//NRhcu++hc1LMJt0/e\nGPH02FZcltHZKgVIpeB7E3BSdXBjjEnipmlO9Xvwdtw6TlOxnhFjzEtm2bZN8eNRuKCz0lHA0BSj\nY8twyVYGcOvfxrDWDscZTWcbuIuIHJK0xk5EpHa8GrcO6MNx2nqAn+NGxt4cr4kCwBizFjed8/eV\nmQDnwR9xwckrjDHpivofj1vbNGfi9X1/BF5mjFldUVcKl6hjlPHBZbVSMDDpv2/xtL2fAmcYY6qn\nkl6EC6R+PM1mXw8cbYypXpP3DtzUweq1dzPxkvgav4qf/xBYZox5XdVxr8Ul2zmtoixk7HvQjgtm\nywFr3J+vievY3xe9QdX1rscF/BdVHmSMORE3XfJHU1zrN7jA8AJjzLh9+uLMqCcwu5FEEZFDlkbs\nRERqhLV2tzHmIlzK/i8Az7DWdhtj3onbXuBWY8zXcCNBpel4E2UCnMs2RcaYN+PW//3GGHM1Lg3/\nG3CB1oFud1DtDbgU/n80xnweN6pzLu6D/n9OlCmxShfufXmdMWZVKYvjBN6Oy8Z4szHmUmAHbtTr\nqbhENROtv5vIf+G2EPiWMeYK3Jqzp+Om0/6vtfbGaVzjeGPMSyueN8ZtOQP4esVehV/G7cn32TiA\nug04HngVLiD+n4prdAFPNcb8B/AzXCD7HOAnxpjv4EbvXo5LjANuH7+pdAGPNsa8BrjZWvs3Y8xn\ngf80xvwcF4StxmWh3IsLbCdkrQ3jkcKf4fr5G/G9FHFr686Nn396P20SEZEKGrETEVl4kwZD8ebY\ntwCnG2NeFpd9GjgbNwpzMS74uQV4XFVWyDF7rE3wfKK6J2tLudxa+13cfnEJXObOc3B7qf2Jidfe\nzVq8WfUTcYHKW3AZDYeB51Zvmj5J238BfAuX9fLSilHGMcfG0xEfhxuZezXuvlqBf7fWTrT1wGTt\n7cFtN3E1ro8+gZua+Zb4+f5EuCDw6oo/n8AlSXkbccbQuK48bluAT8SPn4nv8zLcNgaVax7fhlsf\n+VlcltUv4LZ82Bif93pcMpvjgT3x9abyPtwavk/h9i/EWvvG+DrLgY/Hbf0ubguJKTcoj/v5WNze\nd6fgtkf4FC4r6vuBp06w19yBfIkw0d8FEZGDihdF+v+ciIhMLE5Z3z7RdE9jzJ1At7X2qQveMBER\nERlDI3YiIjKVBLAtnhZZZow5DjgG+P2EZ4mIiMiC0oidiIhMyRjzP7hELV/GTb9czb41fo+Jk56I\niIjIIlLyFBER2Z9X4ZKCnItLuNGHy9b5HgV1IiIitUEjdiIiIiIiInVOI3b70dU1oMh3kbS1NdLT\nM7zYzTjkqR9qh/qidqgvFp/6oDaoH2qL+mPxdHa2eIvdBiVPkZqVTCYWuwmC+qGWqC9qh/pi8akP\naoP6obaoPw5tCuxERERERETqnAI7ERERERGROqfATkREREREpM4psBMREREREalzCuxERERERETq\nnAI7ERERERGROqfATkREREREpM4psBMREREREalzCuxERERERETqnAI7ERERERGROqfATkRERERE\npM4psBMRERERkQVz/fXf58UvfgGnnfZEXvGKc7n99j8udpMOCsnFbsBsGWOWA5cApwMNwO+Bt1hr\n757k+JOBTwMnAFuBD1trr1mg5oqIiIiIHPJ++tMf8alP/Tdvfes7Of74x3Dddd/hoovezDXXfJuV\nK1cudvPqWl2O2BljPOD7wOHAc4BTgD7gF8aYtgmO7wBuAP6IC+wuBa40xjx9wRotIiIiInKIu+qq\nL/Kyl53HM5/5bNasWcv557+RdevWcddddyx20+pevY7YPRp4HHC0tfY+AGPMuUA38Czg2qrjXwn0\nWmvfGD+/zxhzInAhcNPCNFlERERE5NC1Zcsmdu7cwamnnl4u8zyPq6762qTnXHzxBwDIZrPceOMN\nJBI+L3rRi3nKU07lv//7I9x3372sX38Yb3/7ezHmKAD6+/u44orP8dvf3srAQD/HHHM8559/AUcc\nYeb3BhdZXY7YAVuAZ5eCulgYP44bsQOeBPy6quxXwBPnvmkiIiIiIlJty5YteJ7HwEA/F1zwWp7z\nnDM4//xXcdddd0553s9/fgPZbANXXXUtZ5/9Uq688gu8850X8q//+u986UtXk0ym+OQnPwZAGIa8\n8Y2vw9p7+dCHPsYXv/hVli5dwvnnv4qdO3cuxG0umrocsbPWdgM/rSq+AMgCN05wylrg9qqy7UCj\nMaY9vp6IiIiISN3468M9/HnzXgqBG99oaEgzMpJfkLpTCZ8TDlvGcesmGlOZ2PDwEFEU8ZGPfIBX\nvvI1rF9/GD/84fd5wxtey1e+8jXWr98w4Xltbe287nVvAOBf/uUlfOlLl3PGGc/klFPcGM2znvUc\nLrvsswD8/ve/4YEH7ucb37iONWvWAvCe93yIs89+Htdd9+3ydQ5GdRnYVTPGnAVcDHzCWmsnOKQR\nGK0qy8WP2flsm4iIiIjIfLhra085qFtohSDkrq09MwrsEgkXerz85f/OaaedAcBb3nIRd975Z772\ntav55S/3rZBatWoVV1/9LYBygAZuSibA6tVrymWZTJZCwQW0Dz30IK2tS8ack0wmedSjjuWhh/4+\n09usK3Uf2BljzgO+CHzdWnvRJIeNAJmqstLzoamu39bWSDKZOKA2yux1drYsdhME9UMtUV/UDvXF\n4lMf1Ab1w+J54rGr+f19u8cEdw0N6QWpO5XwedyRy2fU/0cccRie53HSScePOe/II49gcLCP66//\nYbksmUzS2dlCNpuisTE7rp4lSxrLZS0tWTzPo7OzhWXLluD73rjjUykf3x9/nYNJXQd2xph3AR8C\nPluRGGUiDwOrqspWA4PW2r6p6ujpGT6wRsqsdXa20NU1sNjNOOSpH2qH+qJ2qC8Wn/qgNqgfFtf6\nlizrT1pffr4Y/TGT+lasWE8mk+U3v/kDy5fva7e19/HYxz6ObHbpuGuPjhbI54vj6unvHy2XDQyM\nEkURXV0DdHSspre3l9tvv5t161wdxWKRv/zlDs4885/m7f2phYCxbgM7Y8zbgA8C77bWXryfw28B\nzqsqOxW4dR6aJiIiIiIiVTKZLGef/RK+9KXP09bWziMfeTjXXfdttm/fxvOe989zUsdJJz2WY445\nlg984N1ccMFbaGpq4uqr/4ehoUHOOuv5c1JHrarLwM4YczzwEeAq3H50KypeHgAKQDvQba0tAFcC\nbzXGXA58Brep+TnAmQvacBERERGRQ9h//MdryGazXHrpJ+np6eaIIwyf+tRl5dG16fA8b8rXL774\nE3zuc5/kbW97E0EQcNxxj+bzn7+SVatWH2jza5oXRdFit2HGjDEfAd4+ycvvwY3E/RJ4mrX21/E5\n/wB8Fjge2Ay811r7nf3V1dU1UH9v0EFC0ztqg/qhdqgvaof6YvGpD2qD+qG2qD8WT2dny9TR5gKo\nyxE7a+27gHft57AxGU+stbcBj5+3RomIiIiIiCySet2gXERERERERGIK7EREREREROqcAjsRERER\nEZE6p8BORERERESkzimwExERERERqXMK7EREREREROqcAjsREREREZE6p8BORERERESkzimwExER\nERERqXPJxW6AiIiIiIgcei655GLCMOKii95VLvvud7/Fddd9h927d7Fy5SrOPvslPPvZz1vEVtYP\njdiJiIiIiMiC+vKXr+CHP/zemLLvfe9/ueKKyzjvvP/gq1/9Jmef/RI+8YmPceONP12kVtYXjdiJ\niIiIiMiC2L59Gx/96Id46KEHWbly1ZjXfvCD6/jnfz6b009/BgCrV6/hrrv+yo9/fD1nnPHMxWhu\nXdGInYiIiIiILIi77rqTFStWcvXV3xwX2L3pTW/luc99wZgyz/MZGOif9Hp//vOfOPXUJ3Lzzb/k\nxS9+Aaed9kTe9KbX09W1m09+8mM84xlP5ayzzuTaa78y5rwf/egH/Ou/ns1ppz2Rc855Pt/97rfn\n7B4Xi0bsRERERETq0J49XXR17SIMQwBaWrIMDIwuSN2+79PZuYKOjs4ZnXfGGc+cdPTt0Y8+Yczz\nnTt3ctNNP+NFLzpnymsWiwWuvfarfOADF1MoFHnrWy/g5S9/Mc997gv48pev4Wc/+wlf+MJlPPnJ\nT+WwwzbwzW9ey5e/fAVvetPbeMxjTuRPf/oDn/nMxykWC5x99ktndD+1RCN2IiIiIiJ1aO/ernJQ\nt9DCMGTv3q55u35PTw9ve9sFdHR08LKXvXzKY6Mo4jWvOZ8jjzyKY445lpNOeizNzc28+tWvZ+3a\ndbzsZecB8NBDfwfgG9+4hrPPfinPetZZrFmzlrPOej7//M/n8PWvXz1v97MQFNiJiIiIiNShZcs6\n8f3F+Tjv+z7Lls1stG66tm3byute9wqGh4f51Kcuo7GxCYALL3wDp5/+j5x++j9yxhlP4c47/wKA\n53msWbO2fH5DQwOrVq0pP89kMgDk8wV6enro7u7m2GOPG1PnYx5zAj09PfT09MzLPS0ETcUUERER\nEalDHR2dY6ZCdna20NU1sIgtOnDW3suFF76BpUuXcumlXxhzf29/+3vJ5fZNNe3sXM7dd/8VgGRy\nbFjj+96E1y8FedWCIJzwOvWkflsuIiIiIiIHjc2bN/HmN7+edesO45JLPkNLS8uY1zs6Og64jsbG\nRjo7l3PnnXdwyilPKpffeeefaW9fNq7OeqLATkREREREFt2HP/xeMpks7373BygU8nR37wUgkUiw\nZMnSSc+LomhG9bz85a/gc5/7FGvWrOGEE07mT3/6A9/97rd55Stfe0DtX2wK7EREREREZMF53r7p\nkg8/vAVr7wXgJS954ZjjVq9eyze/ed20rjOdY5773BeQz+e59tqv8slPXsLq1Wt4wxveMm6rhXrj\nzTTCPdR0dQ3oDVokB8M88YOB+qF2qC9qh/pi8akPaoP6obaoPxZPZ2fL/qPLeaasmCIiIiIiInVO\ngZ2IiIiIiEidU2AnIiIiIiJS5xTYiYiIiIiI1DkFdiIiIiIiInVOgZ2IiIiIiEidU2AnIiIiIiJS\n5xTYiYiIiIiI1LnkYjdgLhhjrgB8a+2rpjjmZODTwAnAVuDD1tprFqiJIiIiIiIi86buR+yMMR8E\nJg3o4mM6gBuAP+ICu0uBK40xT5//FoqIiIiIiMyvuh2xM8ZsBK4EjgE27+fwVwK91to3xs/vM8ac\nCFwI3DR/rRQREREREZl/9Txi9wRgC3AcsGk/xz4J+HVV2a+AJ855q0RERERERBZY3QZ21tqvWWvP\ns9bunsbha4FtVWXbgUZjTPvct05ERERERGTh1G1gN0ONwGhVWS5+zC5wW0RERERERObUoRLYjQCZ\nqrLS86EFbouIiIiIiMicqtvkKTP0MLCqqmw1MGit7ZvqxLa2RpLJxLw1TKbW2dmy2E0Q1A+1RH1R\nO9QXi099UBvUD7VF/XHoOlQCu1uA86rKTgVu3d+JPT3D89EemYbOzha6ugYWuxmHPPVD7VBf1A71\nxeJTH9QG9UNtUX8snloIqA/KwM4YkwLagW5rbQG3LcJbjTGXA58BTgfOAc5cvFaKiIiIiIjMjYNl\njV1U9fwJuKyXpwDEmTOfgduc/HbgdcC51tqbF7KRIiIiIiIi8+GgGLGz1p5a9fxmIFFVdhvw+IVs\nl4iIiNSvrv5RdvWP0JxNsX5ZE77nLXaTREQmdVAEdiIiIiJzae9gjh/95WHCyE0Kam/K8NhHdNDR\nkiWbct8dh2HEtt5hmjNJ2pqqk29DIQiJooi0krCJyAJQYCciIiJS5f6dfeWgDqB7KMfP/roNgOZs\nivamDN1DOQZHCwCsX9bM0qY0w7kiAyMF+kcLjOSLAKxrb+LkjR20N7vgrxCE7OoboSWbYkljeoHv\nTEQOVgrsRERERCqEUcRDXYOTvj44WigHdCVb9g6yZe/Exz/cPcTWnmGSvpvKWQwjoigilfB5zgnr\nJhztExGZqYMleYqIiIjInHhgVz/D8WhbQzrJqY9axYaOZjpasiT86a+z8z0PL16XF0URhSAsT88E\nN3L314d75v4GROSQpBE7ERERkdi9O/r4zf27y883dDSzsbOFjfEeVWEY0TOcp2coRxBGrFzaQBhG\nbN4zRCEMacmmaM2maGlI0ZRJ0jOU508P7WFrz3A5oKt0/65+uodyrG5rpDGdpDGdpLUhxbLmTDko\nFBGZDgV2IiIickgIo4hcIWC0EDBSCAiCiMZMgq3dwxSCkO09w3QNjJaPX9qY5oTD2sdcw/c9ljVn\nWNY8dvrkZNMplzVnOOO4NRSDkDCC0g5NN/51O7v6RwCXqGXvYG7MeScctowTNyw7wDsWkUOJAjsR\nERE5KIVRxD3be7lvRz99I3nCiAlHzSbS0ZLlzOPWlDNgHqhkYuzql8c9spOf3729nGCl2l1bezhu\nXRuphFbNiMj0KLATERGRg0IQRmzZO8hQrkgYRfx99wDdVSNh07FqaSNPP2Y16eT8BVWdrVle/PiN\nDOeL7OobpX+kwEihyENdg4zkixSCkB//5WFOP3YNTRl9XBOR/dP/KUREROSg8OfNe7ljS/eUx2RS\nCbLxn8HRIkO5Ag3pJBs6mhnKFWltSHHShmXjRtjmg+d5NGVSPGJ5qlzWlEnyhwf3AG6K5vf+tJkn\nHL6cjZ3NWnMnIlNSYCciIiIHhS17hyYsf0RnC6ccsZx00sevCI6iKKJ/pEBzNjWjbJfz6YgVrdyx\npYd8MQAgVwj4v3t28Lu/J1nX3sS6ZU2saWvUFE2RBTJaCMgVAxrTyZr/e6fATkREROpeMQjpG84D\nbiTs2DVL8TyP1oYUR6xsHRPQlXieV3MbhDekkzz7MWt5YPcA9+3oY7TgAryRfJH7dvZx384+Er7H\nI5a3cMrhy2v+g2a9KgYhQ7kivu8xlCviAQnfw/0aud+loVyBKGLclN3SKk4fjyWNKbKpRN2PtkZR\nRBgGeJ6P70/8OxcEAfl8jjDct6WHO9bD993WH57nx49efM2QKAoBj0QiUS5PJBKT1jMTYRThAcP5\nIrlCSGMmOem62SiKGMwVXTKjgVF6h/MMjBbKiY18zyt/CZTw3D1lkj7LmjMsb22gM86cu5gU2ImI\niEjd6x3OE8YfJluyKf7hkZ2L3KLZa2vK8NiNGY5b28Zft/aMCfDArSW8f2c/Xf2jPPGIFSxtSpNO\n+Pi+5wKSfJHmjPsAOloI2No9xOa9g+zoHSGV8Fm9tJGljSmWtzbgeZDwfZK+RzLhkfB9Mkl/0kAk\niiI27x1iy95BfM9jff8ofjGgrSlNYzpZdwFMGEb8bXsvvcP58hTdXf0jbO0ephiEc1KH73msWNLA\n8tYsHi7wa0wnWdPeyJKGqb9YCKMobodHwvcoDSw/1DVI/0iBY9YunbfgPgiKDA4OMDg4wMDAIEFQ\nxPM8GhubSCaT5PN5ICKKkxLlcqP7veZ0eR40NTWzZEkbzc0thGFIsVgoB5aVf6p/5wrFIvdv28Pf\ntuymZ2AI308QevF7FEW0NqRYvbSR1W0NDI0U6B7O0T+cp3c4R64QANG+6BwgmcZLpAk8n75iDhfY\ne8RRPlu6IogCTjxq5Zzd/2wpsBMREZG6V5kkpb25tkbhZiubSvDYjR2ctGEZewZG2bJ3iIe7h8r3\n2juc58d3PFw+PuF7RJELBnzPI5XwyRWDMdfMFQLu29k3Zb3pZIINHc1s6Gwm5fv4vgtORgsB9+/s\n58GugfKxW3pHGBnJl89ra0xz5KpWjly5ZK7ehnn1h4f2cNfW+d0kPowidvQOs6N3eEy553msaWuk\nKZOkUAzJByH5Yki+GFAIovhx6uCya2CU049dPSftjKKIfD6P58HIyAjbt28lDMNxxwwNDc5JfVO3\nBQYHBxkc3H9dvu+TTCZJpTJs7upj067uOEBzgqrj+0agrxvumWZbvMIwyaRPvlB9pdqjwE5ERETq\nVhBG9A7nuHt7b7msfZI95eqV73ksb21geWsDJ21Yxi/v2cGmrvEfeINw3zBDGEXjgrrpyheD8rTP\nmZ63q3+EXf0jdDRnaW+u7X7oGcrxt229k76eSbopey0NKXzPIwwj3H8u8MimEiR9rxx8RVE0ZvSo\nEIT0jRQoFIvuhCoR8PCe/vEVRyGE7pwoDNzP5SGkeKTIc23btH2AL23bQUM6iUdINpskN1pkxdIm\nVrakCPI50glIJry4jRCGAWEYkkgkxgRupamRk/G8CW9jzOvpdJZkMkFpuuq+a0bu/YvcNM3Se1Ua\ndYuiiCAIytcPgom3AZnI4Giee7Z3MTrJ1iHgvvRIJxPkigFhOPlNJBI+zZkkzZkkTZkUqYRHUzZF\nKuFTCMLyfpRRFBFGkCsG7OobKU8DX2wK7ERERKSmRZGbLrd3MIfvuVGp5Ka9dHUP0TdSKCcaKZlt\nYFco5AmCgEQiSTI5P9MKwzAkCKIbztEAACAASURBVIqEYUQqlZrxOiLP83jykSvIJhMM5ooM54oM\njBYohlF5XVMmlSiPWPieR0dLlvXLmljb3sRoIaB3OMe27mEGRgskEz5BGBGEIUEYkS+G+x0lArd5\n+5Erl0AqweadffQO5ccEkvft7Ofxh9f2dNi/bO4uT98FWNvWQC6XY0VrhtVLs7RkknGw4daXjY6O\nxoFJaT/EQhyQuGmC44KiFPiNPsM5t06rsq7eoTz9I9MLBkqJfabah3E4HgzMp5MU8kUGe/fw94rz\nj1nbRks2NeacqYK48i2kUrS1tdPc3Eo2m2V4eIjh4SGSyRTpdLri99cjnU6TSMzNvo+FQp6+vj76\n+nrJ5UZJJBIkkymiKGI4VyCKQhIeDOfy3LW1d9y02VQmy8aV7Ry+qoMoCkjG8XAQwa6+Ubb1DLO7\nfxTf81jX0UR7c5b2pgytDfvuyfOgWAwYGhokCILy2sHK4DSKIpa1NHD7lpl9CTJfvOlu1Hmo6uoa\n0Bu0SDo7W+iqmO4hi0P9UDvUF7VDfTE7URQxlCuSL4ak4gyVnuemB/YMuSlgA6MF+kcKY74Z39E3\nMmZqFUBDQ7o8BbBSKuHzL4/bOOONxfv6eti69eExZe7DZJJ0OoPneRQKhXLiB/ehr4jvJ0ilUhUf\naN2HcDe6EVEsFst/gqBIEARjrp/NNhCGQTyCUVo35OH7CRIJd+1UKk0mkyWTyUy59i0I3WhSKg7W\n8sWATCoxYeKYyURRxJa9Q9y3s59CEBJGkfsTRqSTCVobUixvyfLIFa0kfK/8d6F03k13by9f64TD\nltGQTpBJJuJtJnwa00ka0os/rjBaCPjm7x6kWCwSjfRy8rpm0v5CfuSL6BnKM5wvxsk4/PIax4Tv\nldc8+r6HR0UmVyKGcwHFIOSB3QPjRqlScWBXLZVMcPy6tv3+vSglLSkWi2QyWdatO4x0enGnNru9\nHkfY3jPMw93DDOUK5deiKNo3whkWyaSSHLdxJceu3f+WJaVgcC62NhnJF1m/pm3RF5gu/t8sERGR\ng8hoIaBvOE9jOklLQ2r/JxyESkGG73v4nsfu/hF++0AX3VWjFnPFBQsJOluyHLt2/x9eJ2rvrl07\nx5UHQUAQBORyM9/kfDqCIJjReiXP88hkMmSzWZqaWliyZGk50PM8rzzdDtwozWwCKM/zOKyjmcM6\nmic9JpfLMdDfGwejOXp6hoiiiEYCsuEQw6N5iEL+9Le9pasSxdMJvUSaZUuX0JJNgxdPMIwiPA/W\ndizFrGmfUSBaKYoi9g7mGMoViXCJUUYKRfYO5Ng7mKMv/iKgFCgVC3nCgV00p33SftOs6qxW2fTS\nr3ppymG1jtbK/vHK53qeV/4yofTFgjvfJSopfUGwfvUKRvIBvgee54Pn0dbWxIPbetiyu49C5DEc\n+BSjBIEHD46keeaRa8mkkvi+TxAE+H5iTJsTiQMLDaIoYjjvvrxJ+j6ZlE8qMXkynpIgjLA7+tjV\nP8JIPmC0EJAvBuSK4ZRJbLx4WmomneYZx6+hoyU77bbO5V6VtfBlBWjEbr80Yrd49I14bVA/1A71\nRe0o9UUYRezqG2FH7wg7+0boHc4zUvFt+fLWBpoySTwgiP+9rf5443kebU3pMdMHc4WAfBCSTPg0\npBKsaWtckA2zD1QURfx5czd3be2Z1nS+mWrKJHnM+nYAVi1vZXQoR2M6SXN26mmTURRRKBTKqdhL\nAVuhkGd4eIjR0X3Z/DzPpV0PguKU64lmq3T90pqiA1Ea0atMI+/SyrufwzCgWAwIw6B8z26EMUnl\nyOLYUcbS1aP456iiPhcQDA72l49rackyMLDv/evqH+X+Xf2TThnc7z0l02STHomERyKZIpFM7Qs+\nIjdihZckhHjNVlT+ebQQUBy3fsrD8xNjnhPfczjSA8U8j1zRwsoljeXA2Y1aJUgk/LhuL34tSzKZ\njN8rL/6dc0Hb2FHb+B2MIoKgSCKxcNlCq/+d2Nk3wg13bi2vv2xIJznl8E7WL2s+4L0bSxk7i0FE\nIQzZ0TPMX7b0jBlRAzcdOOF7BGEUr3VzwV7pTzLhs7NvZNyU6smkkwmXGKgQUAxDmrMpnn7MKpY1\nTz+omw+dnS0asat13/3DJr73py3jyp9/0npe+NgNOl7H63gdr+MPweNf80/Hsa1nmN8+sLu8aP6h\nrgE27Rm/QfaGjiY2TrC/0UyOT/gem/cMcv+u8YH9U45awRnHrqE5m6IlmyrvqTVV+5930mHcs72X\ndNLniBWteJ436fFnnbCOpx29iv7RAknfI4wi9gzk+MXd27lrgsQTM73fw1e0cNSqJbQ1ZeJ9opIs\naUhz6/27uPneXeOOTyV8XvjYDeM+wE7W/qdsbOIJa8ePnP6/zSPcsmX8SNyZRy/j3Kc8qhx4lQLC\n6+/YwQ1/6xp3/LOPX8mZR3eU1145ET+5q4uf3bNn3PGl37coihgeHoqTWCS5/o7tXH/H9nHHn27a\neOojmsnlRikU9n1gnqz9T1qf4cmHNUz7fufn+H1T9x7VDqYdioELAobzbtrppsEEW4bGfwxd31Rk\nQ3PpA/6+gHF6xzPj41sa0ixf0sgdPWl+ctfucccfyP9P3IhbatrHz/T60z3+SUeu4OZ73Yj0SL7I\nL/+2g119I/xt+/h1YacevZKzTlxPoiIpTML3+dlft/KTO7aNO34u/v+2v+MPX9FKR0uWlUsaWNvW\nxPIlWb73x8386C/7/r5c/+eHy/e7WP9evOafjhtXvtAU2ImIiMzQPVt7uPGv2+ZlWuFEgjCadARs\n857BMeuaWrIpjl69hP6RwoTHh1HErffv4v6dLhvfbX/fQ0tDir9tnzg74J0PdzMwOv5ag7mJr1+p\ntNkwuOmSEzlubduEH5TumaQ9M+Wy601/SmxDQyNAeRpcMpmkoaGBhoaJ25NKpWlrax9X3tg4/kNq\nJc/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i7RDagW5rbQG4EnirMeZy4DPA6cA5wJkHfociIiIiIiKLa16zYhpjLsLtN3chcDhu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iV9jV0sNWKXXr7BGimjdUII0ZNZFQe5NzPT1od7dqzHs2M9vPEwwSnzcEoGJZ9zZMSu38jn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\nKQBz5sxh1qyZdOzYmYEDd5lv3a5dV+Djjz9km222L/NzE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0oqlexyjOLikszr7du3MXPm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wIiKLl47NV5sNdiAIgeCsnV8IIYQQ+WU217H7D+CftNYHR7dprQ8AB5TxG631687w9BcB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Q6WlTWsHJuhG0zxY/u32RTRienMy5kDBaFoiJU47Xb0zD0hLMSiV6hwOzUoXB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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25404f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stress Events</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Low Volatility Bull Market</th>\n",
       "      <td>0.05%</td>\n",
       "      <td>-6.05%</td>\n",
       "      <td>4.91%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Stress Events               mean    min   max\n",
       "Low Volatility Bull Market 0.05% -6.05% 4.91%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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gNHhAAibbGIaB3+9PEA7W2gyjweVy0djYNKTd7VY+i5Eyq61Q1pHG1HkOGo2m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/fZGuHY36xdu/b/5R+3du1az9q1ay9cu3btG9auXfuyMbY7bDtFjt289v+3d+7BVlV1HP/gIyxR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\n/wEHKcp+hXRk4QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2467a240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 long positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Data2</th>\n",
       "      <td>91.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data0</th>\n",
       "      <td>77.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data1</th>\n",
       "      <td>30.45%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Top 10 long positions of all time    max\n",
       "Data2                             91.56%\n",
       "Data0                             77.49%\n",
       "Data1                             30.45%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 short positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [max]\n",
       "Index: []"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Data2</th>\n",
       "      <td>91.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data0</th>\n",
       "      <td>77.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data1</th>\n",
       "      <td>30.45%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Top 10 positions of all time    max\n",
       "Data2                        91.56%\n",
       "Data0                        77.49%\n",
       "Data1                        30.45%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>All positions ever held</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Data2</th>\n",
       "      <td>91.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data0</th>\n",
       "      <td>77.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data1</th>\n",
       "      <td>30.45%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "All positions ever held    max\n",
       "Data2                   91.56%\n",
       "Data0                   77.49%\n",
       "Data1                   30.45%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0jLaqqlp/JOUQXr+YN6qucbccdzgaxqf6yPJlUR1xZ9RX0n6MaBTU1l0PJmaH\niaN8t3Y+1z8+lR3VSZqEirvGwxHpLEmSw2+/roYHoOYXcd8OGZ3ru/Xrr6uYPn0aF198Ka+99jY3\n3HADr732Mp98IkReNmxYz6pVK3nkkSd54IFHWbbsF5566lEAqqur+MtfLqCiopIZMx7j0Uefoqqq\nkssuu4jq6rpnwzvv/Jtrr72Z++6bwS233MnYseM57LAjefdd2Qy+LTiRONzP+rmhwfKNQP8m1v83\n8BzwCjAT8ACvx0WaWsQwDctZSn1NS78R/eFI6FJQly5T+1uQ7aXbwAAUS6bbZVTXWgNGL9S6dPZ6\nzbrVcCf8dO1iPCM6l/y0d4iXSChC0Y61jOiqOW1OSqmqrAQddowtB004S26QfD3ujyfwofkf9jvh\nAKdNaZGwEcar+sjyZrMhvN5pczoNe548iuK1Wyn60d1CMOHKcKvqL+ukuJN/3/txywJOeOsomAbL\nVi7lnRkf7PQ2s6/LoWpxJSyoS8WVSHaW2mAtVIDHEEPZcDRE4PVXyZj1sjP2nHE2wclntnr9DRvW\noygKPXv2okePnowcOYwZMx6nR48ebNiwHp/Pz0033U4gEGDAADjssKP48ccFAHz00QdUVlZyxx3T\nyMkREeY777yX0077PR9//CGTJp0GwO9+dxBjx46L7dPr9RIIBGLRKUnrcGI6PgswdF1veJcPAk1V\nVncBBgH3AhOBPwJHaZp2W+t2Z4JizdilGPuBpsQV6W15cxMr3taxXqjXgdot1NRasxIeXBv9qKqu\nhCj4vT5UpXPJT+f4ckCBNTtWO21KytmyeQvMgl8XrwIgkBtAdUFUMJAVgGHgzXV34fnKeTrRzyNk\nejMTpuHVRGr4rXzX+441xbp5RdRucOe9LJ5IVYTIlsRiRFEjCuUQrkn+86M0WAoB8A8JMO+N/6Gv\nW77T2zR9Jr4JPrgAMrMyk2ClRALhiJhs3rGiHJ6DdRvWOWxR29hnn/3YY49RXHDBOUyZcgp33nkn\nkUiYHj16AtC9e3cCgUBs/dzcXIJBcR/77bfVDBw4MOYoAeTnd2HQoMGsXv1rbJmdkifZOZwYGdQA\nqqZpqq7r8VNMAaCpvJL7gLCu6zdafy+26p6e0DTtYV3XS1vaWbgmDBEcGUybVlVrvMCDoipi5nAA\n0MWuCXIX1bXWIMzFkaXK2koAMjOy8CieDplh7SiyvTmUUcaa8t+cNiXl2KqU9jUx4fyJLNjSqoza\nDsWOTLp/iEW1AAAgAElEQVR1csBm3aJ1hL4LUbpvKSULioVMTjO8+Muz3PfdNFZeUIRH9TS/4q7A\nACAoMg3i78duI3dMHqULEtcyhiNhmAHbj9uWdCVJ00qVveaO67j7j7fzl1su4PPnv97ZreJVvYSN\nsCNtPCTpSSQinidmjQlFUFG5g+DkM9sU3XGSQCDAI488ha4vZ/78r1m48DteffVVzjvvz4BQT26I\nndEa70TFE40aeL11Q/vm1pO0DSecJdv17039VLw+NE7NA9gHeKvBsm8BP+IR2KyzVFCQxaJnF0It\njP3DGAoLUytUkJ3jB6B7t1wK88S+VY8KmOIB9zD80Hs+hce6S0BBUSzHwwMZuWq7z1tHnm/VI2zs\n3rUL2zK3QLmZ8s+3vWT6M0CBLeENKbHZTeclO1vIuubmZlFYmEt2Vgaozn92OZvEA8WTYXSoLTu7\nbdOIongUSpeXUP1FdYvbC3tqqAxXkN3FQ27APd8BR/ADEVCygxRm9wDcdV3YKB7ASGxbZY3IVtj+\nwfakH0dOqbgWTjrkeN484jWWfPQzyzcu4sCxTZUUtw4DA58qrv2CrpkU5gib3fgZ7Ip01s8hM0sM\nYTOzRVKSL+D8s6QtzJs3j0WLFvHXv/6V3/1uLwBuv/125s79nGOOOQavt/74Kzs7EFs2evTuvPfe\n2wQCJnl5eQBs376d9euLOOecsygszEVVFbKzA/W2EQj4yMjwdarz5AaccJYWA5XAwcCrAJqmDUKk\n2s1tYv31wJgGy0Yj+jX/2nj1OkpLq0WtUndQ870UF1fsnOVtZEeFiMps316FP2jtW1GIRKNCPr8C\ntheXpdyuRPQc0ReOA+bB998tQssc2+ZtFBbmduhxbS7eJn4xvPzw9AI2rFhP8WR3ncfmGPmHMawa\nvYplm/UO/+w7+nNoK9tLRUQwGIxSXFxBOGgQjkQct7G0XNhVUtZx12MyPotQMIziUfH6/RCCLVvK\nm+2D9vkLX8LbsPZPW+jZSdrxdBiWoM4vRatQume67rqwiZpRTNNMaFt5VXns92QfR2mZSPAoL6vh\nkdue5qjPD+b86y9k3os/tHubpmnGVGG3Fpfjqcl27Wewq9GZP4ftpcJuj1c44luLt3eqY6mqCvPo\no4+iKD4OOOAgotFq5s37hpEjR1NVFSQSMeodT/yy/fY7lC5dnuDSS6/gkksuxTTh8cf/QU5OLnvv\nfSDFxRUYhklVVbDeNrxeP7/9tpaff15Jr169nDhs19KSA5nyfARd10PA48B0TdOO1jRtAjAL+ELX\n9e80TfNpmtbTSrUDeBg4QdO0GzVNG6xp2gnAA8Bjuq5XJtqfaYqapaiR+tD/+hXr4Cuoqa5LZVPt\nNDwAD4TD7qtZyijIhL7Aj7CuyJ05wFU14qPPysgmUhMhUtF50vD8uX5YC98/963TpqQcOx3WHuDH\n1CEdxjAMMKEm6s60U5toJILqUcjKFN5PeVXzUufBqiBUQVU44W1yp1ld/iszfrifD397v8P31R78\newdgX9havdlpU1rEUExao39gdGBaeUyxUvUwbth4Tr3rD6zacwW/lCzZqW16rciSIdPwJEli6B5D\n4SoYPG4wADVBd6dRN2TcuAnccMOtvPfeO5xzzh+4/PLLGT9+IldeeU3C9/r9fh588FH8fh+XXXYx\nV175V/Ly8nj88X+SnW3XMTVuQ3DKKX+gqGgN55xzOqWlu177kvbiVDXzTda+ZwI+4EPgMuu1/YHP\ngUOBubquf6hp2inWe64FNgNPAtNasyNbZCFiJi6aTTZrl66BOVBTVQOFYlnukDxCRohKKoSzFHKf\nGl4wUis+FSwhBRcyfMIIuBHGjh8nBt4uUFRrLYZpwBYo/7Y88cppRmZWBgyHgm5dAVwjzvHN+1/D\n/fDFpM+4bu+bnDanWSKRKIpXJTtLPAy37dhGQW7XJtcNVteCAdvKtzEkf2iH2vXCkmd5cvGjqIpK\n0UVb8Xv8Hbq/ttJ7r96s3bGGzVXudpbIQDTWSEBHXjML5n4P98La8WsY3X0M0868n89e+YS759/G\nqyc02Ts+IeF7wlSPr4LdLbVVmQEkSQKqzwP5kO0XF01tyN2TXU1x9NHHcfTRxwH1o3znn39RXL8l\nmlzWt28/7r33wWa3/cYb7zZatueee0nZ8HbgiLNkKeFdY/1r+Np/EfLg8ctmA7Pbs69YZMmB2eu6\nGbq6AN7Q04dRUlNMyfZiK7KUeicuEUEjFPtmuNVZCpsR8InIksfj6VRdqU0MUUMRhUg0gtfjbgW2\nZNKrf284C0aMGQFAtCZCpNz56Krdh23b+m0OW9IyvffvjXe7l+ws0Xhxe0XzM4MblooS0KW/LGGv\nAXsnzYbPiz5jeMEI+ucOiC1b+tkS+AaMEw2C0dqUOEs/blnAy8teZPrBD8eaHDdHYWYP1pavYWNZ\nU2Wx7iFaE0E9NHHCh0HH3e/CoRDU1omwdMko4PLxV3HX/Fv5ZuPX7NenHfL6IQguC8I3sPnMTQwv\nHJFkqyW7Iva4bsCIAfAn6De8qe4zEsnO415ZoCTh8XvAD1Ej9U6JPYCPd5ZURSUYDooWvNUQcWEa\nXigajEWW3NqkMxgV4faAx4+iqq1KXXELhmnEouOhsPsiix1Jw6a0P76+kLIHm08lSxX2TH045L7r\nMZ6CcV3psX8Pho8cAYeC6m/eSbAb7ZZVtCgY2mbOuXgK1z76f/WWbf11KywTvwdT1Gj7mTefZOZt\nL1BamTiVJOAJwAyY/fjbKbCs/VQvqMZYm/hmlpWZCRNByW7ZSWwPEWviIH4S58LRF5Pnz+df+qz2\nbdQUSrBi++6+xiSdB/u+3SW/AAaBP8tdEW1J+pD2ztKYS8ZBISx7ZWnK92032/TEOUte1UuwKgQv\nAPvByDNHpdyuRISiwVhkqabWnc5SyBqQBTwZeFzS2LS1mCaxKy8Udp90fEfS0FnyqKorooJ2ZMmN\nNYTxhKOiKe2I3XeDg8Gb03xU0uMXAfryyuSme4Z/CrHl1/rpbKZRNwEQTJH8evG6rbAUakOJ92dg\nQABKS4TjuHLbSu745hYmvXM8O4IuSoeNAh4SXhOGacB4yJqUfOUO+1qIl5vP8mXRJaOg/dL6Jige\n8QUJR9yXTSHpnNgtQzK8ondXyHD3/VvSeUn//B/ThGKoCqY+ncyMK5S18SieWCM1uoCS5T5/deEH\nC0TV2DHQZ6Q7G5rVWpElvyfAXufsw+a9NjlsUetZ9MKPMEf8nqpZeLdgxBo1i++96nFHVNCwBGAi\nLkyLjSdshPF7/GT5xCC5pca0+/5pP96+5t9UVO5Iuh2mUn8wbxgmVAMPwm8HrabvqH5J32djG8TP\n1ji4hmlALpT8WszwgwZQvk8ZiJpwVpf/yrgeEzrQ0tZjGiaoIr3IqzT/eDYxoS94/Ml/hNviEV5f\n/W2HltZSXLYFjmzr9sS1ZTtLbqhRlKQH0ZizJKTDw7vY81SSOtw3Uk8yhmmASp0CXQrpPbwPHAAZ\ngYzYMlX1ELbTEBQIG+67uIvXbEUpUlD2VegyqIvT5jRJMCIiMhmeAFk5WZitKIp2C8Fya3Z2Eni9\nu1azUIP6kSVV9dCB5Retxh4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fypUriEajnHTSMfWWh8Ohegp6l176N7755n8sWfITs2a9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ZAAAg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\nSc5DxjMmn3qmxhR4Cu75xncZmx6zfC2KqqQLGr2dCwAYe3YU7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QN0g+i2PuHUGgf3HYTf\nwfSYOTqQIAkgU7JPxy1Z6zvRkb94a3I1w0qQriseyJ25/Gxsvlw/k5HIMPwVXHHdVdgcNiJh89dy\n4sUThLbmPt9z185D2mR8DWpegFcOzc3NkICJ2QlEQdIMbyvItFqB6yo3Sy4M5HwmIkIwVQHOQ3Qm\nijxrftXsb6gjGSreJ3QqPEqrp/x4Bpo0r5VzC6KA3ZV5j1bdsJqmdzSZ2ndibBwOQDxSOji7dOMb\nwAFRC0E3wOCOAULbjMfKjGdd7fsWk+lmdjtL5i+FJhiYLBQ5Wfj3i1n7dxnqodPpBAVicevVrqRB\nA32Ht5OIHNF8J4sgnAhR72zAbrNXPPevee86uv9xTto0vdp7Go/FtKRQleh/4STTD1VHs9Tvq76W\nrHdp89d0bFqjw9kK53p/ykw3ZsGeoxyCcW2tGpNjHP6fQxz+qXVW1ODBfngAjh8zXznWISsJWAx8\nDDrnd2YqS5IWLA0dGoTfwfBIESGetCmt8ZzrafagOnLn9Ujq/rmdHs2G4kcw0p85fmgqBM/A0UPW\nv08+XtfBUiKRgAgFGcdFXUuQ2hwQLt40rTfnzwYrC5b0TM3pCJYCK5bC9dDQYW7CKYf5GxbAzTBn\n3Zyy/h0Ou6OmTYmlkHaTNzANLYeWtF9K7StLRpNOMbhFd45IiC6vXC7rIyg2GIPpPKnMhCKnq0fI\nhdcwt7sX/gGWX1S+aqCr1zik3CyvXbDD/8Arj5hvutd/K10mdDKYaSZXFdWUxw3A3Kt7abvQvJRr\nMDgLh2B2UntPO72dyIrMqYg5Xr+aVA3plJnK3uldJJvB4Il+2ApRk9l83cCz1PPpslemAtX7hvm0\nXZPJLh/+7UH4HoirSv++7mYXE6OZDO5wSOuT6PB24lrkxtVqrvcA4OSzJ5h6OlesIHDOMmwXG48T\nimLewBVg9ca1cBGMhkZwCA5mD80yseP0KGvqsK2y0b1sTs5n/hSldtogKbb3O7s58i3znjf1jQ2o\nETWt8JeNUCJEWA4XmL0WQ3NLC8RgKmhukZlvLO6wO9JmnQDxRJyvPfAVQyPMTPN8+bFW6pKw+8yN\nMzqOPXOUmceMk44Zz7raJwez6cMXbr4YPgje+QaWCnYQHZnv5EpR8Gci1lklx/cehadShtUpRI6H\n4aewva/4WB9KhPCIHpx2V8X3IqnIiDZ7+p6Gq6S+xWNxbFL1ayuny1UxrVGHzhbRx9sGZ4qVFJtG\nVmTDuV5nh9TShkWn60aTUSJDYaKj1u9xplfX+u8sqzJIgEezC9nftw9+BRMntbFT93Uq1vcmp1WG\njddGTtFVMGfFUjR5t9OdUfnLWs+sWbwOHPCdL3+DvcfNq+wa4XUdLO3etgs+B307cx2qPS4Pu7cc\n4L///W5uXnmr4b4NPl322TyXPhuVeASZRVenZhzm8NfG0CzpTsI8kMVkKgtbIlgSnK8ZDc/j88Lt\nsP6yjZb39dn8sMM6LcMMSqm25MMtunMMYvV9i/WSpPdzaZmn/EFLVhJ4HF5YBDQYeBK4fFAHslBe\nbUoPllxGZqd2a6qHukKgx5Nqis6ir6rJQopRMTgtOtQPnByAn8DhnVoWrcOrVY1HQuYU8dK+VfnX\noasCneZeFTOIpiZUj8tcs2Dd2nqYWyZYSnm1WUXjkkbqV2ZktOt8dVoVK1Z6nOtePwdbV+bfg0Gt\n4tvl7WbuLXOZc7l5umNSTqYNIHU47A5iyZghnSi/Z6YcNmw8Ay6AUXkEURA58cRxRn9tvspaCZJq\nYV+fP2UCHjRgN2gKc+a/VFODllg7eapQsGhwagCC0OIyR8Nrb9WC5cMD5oyNVdSc2y8KUg69+JKb\nz+U/bvsXvv/wdwr21fvQ8nvUjND5t10sfnN5L7Kc4yvFq44Zz7ra9y1m++21edoRbAJDoUJKlqIq\nOf2trV2t0AuRuHW/oxP7T8DTWqChw4cPDsKeQ7uK7heWQ3glb1Wy5boiqt6/EqlGZRhtbhLE6tdW\nLpcLElSleJipLKVEhmQJRmBkapiDTx5g9pHC99evq7tFa1hZSmhr1VgypiW9KxAX08XDwhWowI6O\njcJDQL92DQMD/bAT5LCWcNTFhqIx42MnU7+BVCSx6rIXzlk6Dc/j8GTMdsXMunhh5yI+953/JjGW\n4N++dqfl75SN13WwpGdvbAaLhkZ/E3+17j10eDsL/gbQ1tgG66GupzJ/jWIUwFrAnVKAqYk/ADAT\n07JUETlC77ULmHPD3KLbDv1ggFe+bb7iUA1sggCt4Ksv7dJthAaxAX4NW5+tvTmtUuK5yoc7T2Z3\n3VUb4EMYevtkw+PUBq1oXkNj+Gth9v5+N7wTWFMYsOk0BzNNq9G4dl35lSXQJbwtCC2ksmtur3bd\n2f10alJrwDcDp2CtcpmuPqYmhk6f9j4bLTyMkN9Yr0NK+028NlXUUoinJgS305yx3ty3zIUwJL5U\nvCrmET0VBUv5wgJtzVoVUIiUHucuftclRC/IBDNDqWC209eJR/IQls0v/pSkQbAk6MakhdWJUgti\nIzS7tT7AwZFBhJCQUtqrfd9KNhJKoqCP0Z+i1M6GCqsI+XTIcmht1qpGJ0cKDUi3bH8evghDO8xR\nlpctWw7rYSphrrKkqmrOM+OwS0zHprjx+zdy1o3r6XtUM6idminsHckoj1pPTJm6NqU47Twzlta+\nspTdaynZJdo87QwFiwRLWcu0jRdvgveC5LaeKFUM7uWSuRr182h/cZrSxA8n6H/uJE67K6cX1Qo0\nIR0prYxmxdTYCIl4QqMbVwlXysw0GK0sKQ6pZNZBmB3T3tOBvn74JuzeuZOR3cNEdhQGB6JdtJyQ\nLIdgIgiPwpGvHdLUMku0UxSDLh5WiZfm5OQEbAMmtXlTN8nVlez0YweLFCAyc7nxWsEtugvm45aO\nFvgYbL787HSwlN9WcPOV78PR7mDPjt2Wv1M2XufBUipgqSDCbvA1wpuhY0VlDY2yLMOzMLiv9j0z\nVhbEZjCb0DIfETmMt9dH3cK6otsmZ5NExl8b7xkrQUk+2hs7QIRTp2pPw8uYp5UfjNx5i1KH1wGN\n5ZX0vClOczSrsqQoCgyT01ydXz0QBRFJkExN8HXN9XAJzF1YmNW3iTbiFvyO9MqSbvqXI4yiqNhN\n0vAcdqelAEWWU+arqUpdZ6qyNGSysqQmjSmC+uK7ElWgWiOWriyZC5acdhfEgRKvqRARmDllncqj\nCQtknrnO1lSyqUys0+XrISyH0ipRQ8EBvJIPv6MOj+i15GeXlJWCrLIuSmIkdz9vUy+uN5in+TWn\nKLzhB0MMfHMAh8NhWr2tEiiqgqIqBd5ROt02GDFYXKilhXjycfEVl8I/g6/DX/C344PHAOjtNmdC\nvfmMs+DNgN9cAKnmefed2Xk2Hd5OnjnwDEe3HwE30Aqit/A9TKY97cpXlvITU2agKMX9qmbHZuD3\n0Ld/n+Hfq8HQ4UHYplVJAbq8XQwa9Nfm37u0sXcFwYa+GM0WR1k2T6NrDwz1G+4TT8RR9ilETkWI\nvxznyIvmqZ/ZSKREWeKzcXgU9u+qjhK17JblLPp7a1VEI7jdOhOics/KyalJ+Cnsf1EL+vX3diY0\noz1fRdoInDe6WHDeworPm4+RHw/BCxAbqbyypCfkKpGIT/fRCZq0u14Rr/dr96OnTaMZD44ZJzJX\nnLkK7oAFi4zviUssVC5MooAHGjwNkGr5cxokf+csn8vEwHhJIZNy+IsES4FAQAgEAp8JBAKDgUBg\nNhAI3BcIBIoSpgOBwI2BQOCVQCAQDAQCBwKBwMcDgUDZa9fLevYKFtuCTdD6TSpsREzICXgCTuws\nzORVi2oGTCPMpipLUTmKWkIdCMAu2ZET5gwFq0XawLWCx1QQBOw+O5MT1SndGOFo3xF4EEb7y1Nz\nRh8f4fD9mUZL3SCzHHxurZoWy3LF1kvOkihBFNgHM+OFJX6X6DZFHfE318N5MLfXIFiy2zRTTpNY\nfd4a+CgsXLkYWiBBZl/HPzk4770XlNg7+9qtBUvpzHMqK9/maYcn4JnH/mRqf7VIIBcJRuHbsPWx\nF01fy+lCmmrg9JbZUoPT7iyrUHfgx30cudt6A7CmHpY5cE97qgpdZpjs8WsWCv1BbVG26+VdNI5p\nGUetsmR+nFWSSoEZc0Zqv/DZ6Vjegets88FSmo6WBEG04fZ6UOOnr7KkV8PEvEbwJYuWwD/Aks1L\nC/axSsNrq2sHESajhePhwLD2myzoXmzqWC1uzZ9lzGQ/6NZvvkT/FzPiBdcseisvv2sXQ58bYvjg\nFC/v2gW3Q9eyQpuNRRsWw9vJMT8uBrdkvVpaStAoEZLhJTh+tDqvRSMcfLkPHgI5FSx1eLuKV5ay\n5mNXilVSScVbSWrPsJjFauho6tSMvIeNm+5PzWi/sdfrI/jMLMeerUxVLBqJIch2SAAvwJG+yoIu\nHbKUxFtvbjwshbmLemEDVQm4yClKqT4H6eJgwdAsSlIp+nz5Vnvxdlf/HXTEdmnPhJJQS1ZMS6Gl\nuRVWgLfR+nXF5VSVTNDWpnoFqcmvUYCX9C6FDWBvMK4Si5IdfCkREwMc//5xXrl7e85n+tjpFj3w\nsvaZ11PIRLr1Y7eh3K5weKpyK6C/VGXp34F3oZGJzgN6gPuNNgwEAlcAPwG+A6wCPgF8HChLQEzT\n8Cp4aECjqoQNPC7MIGOmdxpoeOnG09pUlmbiM/A47H54J4pa3HcCQHRIKK9RsJShUVZ2Dx11TmYn\nayOvno1Tw2PwKoRmypfug0eDTO/K0FXKBaM62lrb4TZYfuLsfBQAACAASURBVP7y9GeRWJZ63SRw\nLxzdUzjpGHF7jZAxpTUwZZ3vxt1m3lDLLtnBC6s2rIa/ha7F3em/ycg4JXO0kakD00y+ZD7LlwmW\ntHsqCiLCDoG9W8yV3P3/WMc5txZ6TjjtEgzB1HjlGcdaoWfFHLgCGurMqQS6RFfZYMnhcpCs4D3O\np+HN6+wFIPjT0u9Cl097Hgb1YOkXOwj+UQv0PaKXUMI8DaZhYwMdm3Ir/qeOnYLnYHK6MBjIr4aV\ng99Rp70TSRBEOx6PB+IYChDUAsHwLDwIx7Yfy70OT73Wf2gvPK/oE5H85iXyG51aYDphECyNjGoL\n5cXd5jL1GfEccyIqyUSyZBO9R9IWZkZUzPq2BliaqViXQiWVpeaVzdSvN36vdGXRcIV9y6Wg98jo\ndN8mtYmT+wuDsmOfPcr2b72c/rczpdAXq4AaWMxMXWqQmDhlnFQ8lTKP9Xv9CJKdhAW2QTZ23bWD\nQ18/QEOd3gte2bpKR0yOpgPHarBy0yq4GuxVqJ5mqp/afW1IKykHUZLJoutPh91ZYA1SKaLxaFpS\nXpUVut7TzfK3W7eGmNMzB26AnjyxGTPQ6eLcC8//7lnCEe03bvJpwdKi7sVwNXjmGTMk0n18RcIS\nNaoSmyrs4YaUh5MDOBNaWwvrLufOPx9s8K1Xv85LQy9yZPow05EpFEVh55EdPLvz6bLfz5p0TA0Q\nCAQk4IPA3/b19T2Z+uztwNFAIHBmX1/fn/N2+QBwX19f3zdT/z4aCASWAzcDny51LkEQwAmiyeby\nfORTqKwgrXZTQSm0LBLAfbDDth1Wlt26LLZ9fys8B8PBYbzn+UoavYmSSPI0UlKyUa1IhqfBQ3iq\nukHZCHLSeNIxgsPlIBnPLEoV1dzCzeP0QjsInsw5dINUUZTSyi9GQhHT35zmuQXPwIWlz6FTzPLp\nPwBzb57L/HrzFAG9yVVf+Og0QJ1iZDdpHtj/wkmmtkzCV8yd1+V1wQKoa8z0FjobnUyOmQtykmrS\nsGfLm1IrqiWnvFI09zbDZnL8tUrBZXdr/O0SyWeH04kSt/4eH/vdUa0p+Xrt38sXroTVYDtS+pnu\n8WmTr15ZikxEaV2jTWryWILJPvNBaeP5TfT4cqsQwweH4XHNH2Rhe26FxKqBq81mw7XVReJIAvsS\ngXmBXraseZ7p8BTN/spMOUshHAnBqzBxZq7inqdEz8ySDwRMG3JCSuIdODR1kPue+gUrFqxm+Twt\nETMxPo7NbUtXs8vBK/lw2V3mlUbV0gmvUgpp+R42JTFtY3rUmgx094U9OCPGmWy9QhCK1H4O0YMl\nffweenaQ8PfDDH9oSKv2pKDKaroXA7JZJdYrS93Le+DCTKO9juU3L0dxGAez49NaQOz3+xEdduR4\nZQkDJakgOiUavNo9DVd5T2PJGHWO4u0CZuGuQQ9VIqWYqq/1GvwZcbBSlSVdlKYWGJ1MVQZFQAax\nXdRo9hbhTHssWp/3dAYEQDAUZM7auXAtNNW1pI/td9QxXiTJUk5lWHJKRKZykyGyqj2PkiBik2yo\nsmqY7F/UuJirFlzDj/bew4/23qN9+BzwNJAAm8fGyLHSVjx/icrSWsCHdpkA9PX1HQeOoVWZ8vEp\n4D/yPlOBxnInWrl5FdwJS1ctL7epIazSQ7JxWitLDg/sgcEjtemHmj6uTTCJWKJA5jUfoiS+ZpWl\nkeFhuBt2PV2Zol3vxvmIgdrnA/TftpyiHWjSpNmLUtVksOQU9EErMwBFUsGSQ5I0TwGMG59tcUwF\niZmsTGGwpGW9zA/kOhfYmwqW9AyvXiY3a6jqKGEuaoTu+XPg3bBkZYaq5G/2E5owlw3WDE4Lr00X\n2PjfECzpE6rZe3jzyvdrgVKJxKvL5axIMndy3yQz+zPVWr/Dj+AQyjLCWj1t2PfbeXHLFq0PYjaZ\n9ik7+tgRJv7HPF1WVhIFwbfLqX1Zo4WtoqqW+x57EnMQ6gSWrV/B+vM3wltAFk5PZSmaWmQ48hqT\nXfbinjTlxul8NLgaeWPvlXx1y5e5/cb/wy0f/av03yLJCI5WcyaxoM1pLe5W08FSvpFxPtLBkgGL\nQ7Fg03Do/gOc+I41ylxSTRY9tl4hCFdZBTE8b141Ym53LwC7j+Sq0uXTqZRIEo7C2KlRy+fsWZYK\nlpy5A8OKTSuYaTRmYEzMaAF8va8BuyRWFSwJdoH6dLBUXd9zLBlNV9mqQS36vxMpuro+F7fUt0Ar\n2Jw2ui/uoeONxiJiTov9uaUwlvI1FLyax15CSVgyrdaRtsyoQAW2tbMVLtP+OxqJ4unyIq4XNVnv\nFJpdzUXHDaVMgUFySDmJZ9BUFgHsgqgJfiRANAiWBJvAPW/8MS/91av84qoHuPvib/HuN9zC2jet\nB0ANq2WZA695ZQmNcgeQv9IfBApqf319uQYAgUCgDvhr4A/lTpQWCKjQ6yi+J85x5zG43Pq+ySrE\nCcrB59IygLWSnUykpB3lWIJj9x7F6XZqDbwG2PieTWw5+XxNzlsOsXgMxnMdma3grGvOYffOnZaV\no8rBikKTy+XM6XfYev+LxP8Q1+qlJaBnjbMHLZfPA7fBuks28vC3fpvarvAaRKdIPFr+nukeQkaV\nJYfdQczCgKm/a14p9WymsuGlqldGcDgdlhzqVYPqY2NrE2P7zS3k9MbjguuQHNjcNna9vBNFUU5P\nhdgkEskEdpu9qP9EPs7uPpcXfriNkQnjPgRI+bVUxKjJfZdsNhtOwUVMKD0WCTYBx/MOnnzlMfZf\nshcU6O7SpgKX2w0WAjej30xXtQpFjRbc5qiv2Xj6RxmCw319v9CObYEqaAXRhHbvxDyFTMkuIQqi\nYWVJk+O2NqZ9/dLv8AHlFh7nUYLTmV7Hjus76bJ1l9izENJhib2Hd8MlJjYuU1nS+4ONWBwZm4by\nv5/DZb1aqj0bxu+VXgWJRGtDd885b6qypMscL5yzCIB9x/ZoBrspqGru2DZ6chT+B/as3slVq4pM\n0sXOWYTm1OnrZCQ0bDhP1rc3wk2wcu1qRIdINFjZmkO3aBDtIkjaYroaROVougpSDdKVuioUD0Wn\nCAuhqU2jmzXXt8DtsHjTEiaGxrHHi/gG2V0186w8laoAtl/WwVDHIBE5Yq4aW3BNxXs/y8HX5Icz\ngcc0Nb2IHE5LxetocbdyKmrsWVeOhudwOlASue/3zpdfgc/CoXkHERwCSTlZsuLeWz+f3npNyObG\npTfBe+Gmlht4/Ht/ZHx2nM6O4jWYv8QKwAMofX19+eWJMrlQCAQCbuDXqe3K9yyl/r/ShfL4U+Mc\n+2Nlzr+i3Q7nQHegsGm1WgiCoA04NQqWkhHtp5DjMqGjQUInii8K6psbSNadngxrwXUlc2WhraLF\n3UosGav5IiedFTRBg9EWgpnJMTIbQZ0uvzC02Ww48znNNhXaobGpEVLjoGAgTiC5HMSj5VfCR/cf\nhscgOFV4f5wWK0t6CV2vLOkCE3r1yiggMYLk0IIls74XRlTN9vYO1IiaY4xbbF8jFTId137gOqaP\nTPFPv/54VSo61SKuxDVOtgUs6l7MOauMCvUa6prqod666pGRabXT5jQ1xi5YtZDpI9O80qc16fb2\naJOW1+uFZK7cfCkkFLngN9PNFI08PI4+f5jQY5VXB/QEQKjC/tVyiKUULyWDvj6X3bgPJ19owwz8\njjp+dtX9eOZ50ipsAGORUdOGtDpmnp/h0MPmmqVVE6bA0jGJk32FYkhWqNgul7NgMVUOpQLpem8D\nvBG6VlsLJM2gZUErrMvMbcvma+yXIyfzelDzBCh8Ke+tSnxw0n5AeUmXLn8X0WQ0rVSZDZsbWAI9\nnT30bJ6Db6N1Gw/QxCV0iwbP5R461xpXW8yi/3Mn2fPT6qSgIVNZqqb/u7m1Bd4FKzatArR1gUNw\nEElESKoKdpvx3Df28Cj7H6iN0qKn2QM3wrxN86CFVLBkfd0kpYMl6wlqWZG1iMKmMTIicgRPQbDU\nUpSGt/WxF+HzMDpkXDU1Cpai0ShEwW4T8czxprwnrQWJPb09EIDZaKFYVjb+EsFSBBAM1OyclBCg\nDQQCzcATaDS+y/v6+k4W21ZHWjq8wsqSwyUhRysLDBxOB1wGC9bUThoyGzbRVjP3ZyWqPYDJWLJs\nFcZldxKt0GvBKnQ+auXBksaVNavaZBbzlvXCtdDWUV5WfvWFa+C6TIXIiudLPhUuU6UREfzaPWls\nKsyEONwOU8/ticPH4XmIhQuDbofdmt/RS3/4M3weolMRGIWxMW1AHDs1Bp+ErQ+Z87vSKSKzkdID\nlw6jxdSm88+Eq2C4jHx4PBkHtVCFTMfXP/4dLvvCG/n+8Le55L7z+N2Rh0xdU62RSMbT9Iha4bzr\nL4APgWyzVl4yMnh1CA5TM8n551wICXhk6+9gOaxeugaAznZN7n3vMXOLHzlZSJ3UqR4hgyrA0M5B\nIi9VTvvREwCnK1jSzaGNzBijX4/wzD1GzcfWK0s6JJdEPJL53cfCY7R6Wi0do7u3h+hghL3Hy0tA\nr75tLQs+sqjkNqEHQux8uJBuvfvZXfBziEfLj0V6YsoKtH5K48WVIAi4znFRP9+csIoVLNy8EOHa\nzEuzaoH2LpwcyKMRqrnznz+l9FUJja0Y06bLnzLyDhequ+rPvFfysfTiZTjPqayaYxO15w6g8cIm\nGpaW7aIoieRsEptSPVskEYzDy3D8eOWqxelem6xB0J3yjksqctHnK3wkzOT+2ggIqU4VlkFXt5ac\nD8uhkkJdxeC0O2E39B8ylpIvhaQqa3ODqNldhBPhNMU2vc1xhZOPG9/rWDQG4eJV5LPeeS7uD+Ye\nL5ZFYZ577TxYYF09+YwLNsM7QCjD6vxL0PD0IKeTXCpeF4XUPAACgUAv8CjgBc7r6+vbY+ZEXq+2\nwGhu8tPaaq45Ohsuj4vgWLCifaWo9gL5fa6K9i8Hm8NGMpGo+tiRWESbYBZA/YX1hB8PY7fbi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y/VUb4aPg8/hwdboQ67SJce6iufCvsOnis8qeQ8fChkUWKkupxVRepUF9UWXrz0pXFPWqlySZ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ien5pqxWHKp7KKRjUtNIfn/Qk0L8zIg/Wr11vT8jhxaoFFf6WIFQwKzSqsTLT0ML6Nlkq+6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9Wpy2kneXkJ1UGBtpeLno2Ws3h9gbOnAsCttiWMfPQB0b/dduYPEHG32ePS+LUcxLkLzD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\njGp40UdoROMxKyjxSngAXfSffPIivP/9l2Pvvd8b2bhoZkl2nVkC6ILQ3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ySTtOamXNaQ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HJxSkgSeL+q/nX/j3bskoo3F5FTcOESTwLvxt2HtwIvZVLsRCQXJzDn4ppq3ozrrdExMiMf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MOUuCVsDRq7gdJhgKiESV5BHSitF59Bw7TCggEo0plAXTK8D72IvqcTU3n8LQ5zNf4GHL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apsmV6mpT9eGXzi3hs4s9G/7em2TVccibRX2R1cdJACYF4IITp/e8Bi3oblhV7FL3HfQx5mDb9h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\nCIIgCIIgCIKgCv4fOEzailJMKAEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x254042b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TqlRpSpUqTcmSIcyePTPVBh8i7qZATERERMQDXb16lTNnTnPmzGmOHTvKmjUrefnlIdx7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\n/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yt8b8DvI52eXDNWNVTyQFsv56wpISc9uPIm7JRdlAtQDI6lJuSgS0U0TB4fvoCfsaol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ASXuu648Ry6uyYV5jKZOoVyupPpe0+9wXCZu8QEg3DsSmCYYnKayTVH+y5Faznuh47XIOipZa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\n6YWjqseGZWM45n7EMNLeRQ6Ar49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NL33NjK1kWbaduCeqV2Q3mVSON3AScs0oqqo+pKrq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DJi86ByQjZXaoh1M2a2o7u/YDmZxizWbTkE2JdY42IbYkh9KnAWsAPwI+BWd/9qnuPmHq/V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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x24b22470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Summary stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total number of round_trips</th>\n",
       "      <td>668.00</td>\n",
       "      <td>668.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent profitable</th>\n",
       "      <td>0.55</td>\n",
       "      <td>0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winning round_trips</th>\n",
       "      <td>365.00</td>\n",
       "      <td>365.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Losing round_trips</th>\n",
       "      <td>301.00</td>\n",
       "      <td>301.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Even round_trips</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Summary stats                All trades  Long trades\n",
       "Total number of round_trips      668.00       668.00\n",
       "Percent profitable                 0.55         0.55\n",
       "Winning round_trips              365.00       365.00\n",
       "Losing round_trips               301.00       301.00\n",
       "Even round_trips                   2.00         2.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>PnL stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total profit</th>\n",
       "      <td>$13825.01</td>\n",
       "      <td>$13825.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross profit</th>\n",
       "      <td>$33970.19</td>\n",
       "      <td>$33970.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross loss</th>\n",
       "      <td>$-20145.17</td>\n",
       "      <td>$-20145.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profit factor</th>\n",
       "      <td>$1.69</td>\n",
       "      <td>$1.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. trade net profit</th>\n",
       "      <td>$20.70</td>\n",
       "      <td>$20.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. winning trade</th>\n",
       "      <td>$93.07</td>\n",
       "      <td>$93.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. losing trade</th>\n",
       "      <td>$-66.93</td>\n",
       "      <td>$-66.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ratio Avg. Win:Avg. Loss</th>\n",
       "      <td>$1.39</td>\n",
       "      <td>$1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>$2425.01</td>\n",
       "      <td>$2425.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>$-1403.06</td>\n",
       "      <td>$-1403.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "PnL stats                 All trades  Long trades\n",
       "Total profit               $13825.01    $13825.01\n",
       "Gross profit               $33970.19    $33970.19\n",
       "Gross loss                $-20145.17   $-20145.17\n",
       "Profit factor                  $1.69        $1.69\n",
       "Avg. trade net profit         $20.70       $20.70\n",
       "Avg. winning trade            $93.07       $93.07\n",
       "Avg. losing trade            $-66.93      $-66.93\n",
       "Ratio Avg. Win:Avg. Loss       $1.39        $1.39\n",
       "Largest winning trade       $2425.01     $2425.01\n",
       "Largest losing trade       $-1403.06    $-1403.06"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Duration stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg duration</th>\n",
       "      <td>17 days 06:28:01.440119</td>\n",
       "      <td>17 days 06:28:01.440119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median duration</th>\n",
       "      <td>17 days 00:00:00</td>\n",
       "      <td>17 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg # round_trips per day</th>\n",
       "      <td>13.63</td>\n",
       "      <td>13.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg # round_trips per month</th>\n",
       "      <td>286.29</td>\n",
       "      <td>286.29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Duration stats                            All trades              Long trades\n",
       "Avg duration                 17 days 06:28:01.440119  17 days 06:28:01.440119\n",
       "Median duration                     17 days 00:00:00         17 days 00:00:00\n",
       "Avg # round_trips per day                      13.63                    13.63\n",
       "Avg # round_trips per month                   286.29                   286.29"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Return stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg returns all round_trips</th>\n",
       "      <td>0.04%</td>\n",
       "      <td>0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns winning</th>\n",
       "      <td>0.17%</td>\n",
       "      <td>0.17%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns losing</th>\n",
       "      <td>-0.12%</td>\n",
       "      <td>-0.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns all round_trips</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns winning</th>\n",
       "      <td>0.03%</td>\n",
       "      <td>0.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns losing</th>\n",
       "      <td>-0.03%</td>\n",
       "      <td>-0.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>4.36%</td>\n",
       "      <td>4.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>-2.21%</td>\n",
       "      <td>-2.21%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Return stats                    All trades  Long trades\n",
       "Avg returns all round_trips          0.04%        0.04%\n",
       "Avg returns winning                  0.17%        0.17%\n",
       "Avg returns losing                  -0.12%       -0.12%\n",
       "Median returns all round_trips       0.00%        0.00%\n",
       "Median returns winning               0.03%        0.03%\n",
       "Median returns losing               -0.03%       -0.03%\n",
       "Largest winning trade                4.36%        4.36%\n",
       "Largest losing trade                -2.21%       -2.21%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Symbol stats</th>\n",
       "      <th>Data0</th>\n",
       "      <th>Data1</th>\n",
       "      <th>Data2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg returns all round_trips</th>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns winning</th>\n",
       "      <td>0.19%</td>\n",
       "      <td>0.04%</td>\n",
       "      <td>0.24%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns losing</th>\n",
       "      <td>-0.15%</td>\n",
       "      <td>-0.03%</td>\n",
       "      <td>-0.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns all round_trips</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns winning</th>\n",
       "      <td>0.03%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns losing</th>\n",
       "      <td>-0.03%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>2.02%</td>\n",
       "      <td>0.34%</td>\n",
       "      <td>4.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>-1.95%</td>\n",
       "      <td>-0.27%</td>\n",
       "      <td>-2.21%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Symbol stats                    Data0  Data1  Data2\n",
       "Avg returns all round_trips     0.01%  0.01%  0.10%\n",
       "Avg returns winning             0.19%  0.04%  0.24%\n",
       "Avg returns losing             -0.15% -0.03% -0.20%\n",
       "Median returns all round_trips -0.00%  0.00%  0.01%\n",
       "Median returns winning          0.03%  0.01%  0.04%\n",
       "Median returns losing          -0.03% -0.01% -0.06%\n",
       "Largest winning trade           2.02%  0.34%  4.36%\n",
       "Largest losing trade           -1.95% -0.27% -2.21%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Profitability (PnL / PnL total) per name</th>\n",
       "      <th>pnl</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symbol</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Data2</th>\n",
       "      <td>0.89%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data0</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data1</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Profitability (PnL / PnL total) per name   pnl\n",
       "symbol                                        \n",
       "Data2                                    0.89%\n",
       "Data0                                    0.06%\n",
       "Data1                                    0.06%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x261e9f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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9nOTdSTbr/dshyeFJ/inJmaWUFQb0ni8l2X2iBSulvLg33bcn2TnJB5P8dynlORMdBwAA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\nND6okRjbbS8wOyJm53Nny56qv/GUysx9EXEssH9kfHREvBN4F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      "text/plain": [
       "<matplotlib.figure.Figure at 0x261ceba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "runstrat([])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}


================================================
FILE: samples/pyfoliotest/pyfoliotest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import datetime
import random

import backtrader as bt


class St(bt.Strategy):
    params = (
        ('printout', False),
        ('stake', 1000),
    )

    def __init__(self):
        pass

    def start(self):
        if self.p.printout:
            txtfields = list()
            txtfields.append('Len')
            txtfields.append('Datetime')
            txtfields.append('Open')
            txtfields.append('High')
            txtfields.append('Low')
            txtfields.append('Close')
            txtfields.append('Volume')
            txtfields.append('OpenInterest')
            print(','.join(txtfields))

    def next(self):
        if self.p.printout:
            # Print only 1st data ... is just a check that things are running
            txtfields = list()
            txtfields.append('%04d' % len(self))
            txtfields.append(self.data.datetime.datetime(0).isoformat())
            txtfields.append('%.2f' % self.data0.open[0])
            txtfields.append('%.2f' % self.data0.high[0])
            txtfields.append('%.2f' % self.data0.low[0])
            txtfields.append('%.2f' % self.data0.close[0])
            txtfields.append('%.2f' % self.data0.volume[0])
            txtfields.append('%.2f' % self.data0.openinterest[0])
            print(','.join(txtfields))

        # Data 0
        for data in self.datas:
            toss = random.randint(1, 10)
            curpos = self.getposition(data)
            if curpos.size:
                if toss > 5:
                    size = curpos.size // 2
                    self.sell(data=data, size=size)
                    if self.p.printout:
                        print('SELL {} @%{}'.format(size, data.close[0]))

            elif toss < 5:
                self.buy(data=data, size=self.p.stake)
                if self.p.printout:
                    print('BUY  {} @%{}'.format(self.p.stake, data.close[0]))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0, name='Data0')

    data1 = bt.feeds.YahooFinanceCSVData(dataname=args.data1, **dkwargs)
    cerebro.adddata(data1, name='Data1')

    data2 = bt.feeds.YahooFinanceCSVData(dataname=args.data2, **dkwargs)
    cerebro.adddata(data2, name='Data2')

    cerebro.addstrategy(St, printout=args.printout)
    if not args.no_pyfolio:
        cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio')

    results = cerebro.run()
    if not args.no_pyfolio:
        strat = results[0]
        pyfoliozer = strat.analyzers.getbyname('pyfolio')

        returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()
        if args.printout:
            print('-- RETURNS')
            print(returns)
            print('-- POSITIONS')
            print(positions)
            print('-- TRANSACTIONS')
            print(transactions)
            print('-- GROSS LEVERAGE')
            print(gross_lev)

        import pyfolio as pf
        pf.create_full_tear_sheet(
            returns,
            positions=positions,
            transactions=transactions,
            gross_lev=gross_lev,
            live_start_date='2005-05-01',
            round_trips=True)

    if args.plot:
        cerebro.plot(style=args.plot_style)


def parse_args(args=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for pivot point and cross plotting')

    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--data1', required=False,
                        default='../../datas/orcl-1995-2014.txt',
                        help='Data to be read in')

    parser.add_argument('--data2', required=False,
                        default='../../datas/nvda-1999-2014.txt',
                        help='Data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--printout', required=False, action='store_true',
                        help=('Print data lines'))

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--plot', required=False, action='store_true',
                        help=('Plot the result'))

    parser.add_argument('--plot-style', required=False, action='store',
                        default='bar', choices=['bar', 'candle', 'line'],
                        help=('Plot style'))

    parser.add_argument('--no-pyfolio', required=False, action='store_true',
                        help=('Do not do pyfolio things'))

    import sys
    aargs = args if args is not None else sys.argv[1:]
    return parser.parse_args(aargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/relative-volume/relative-volume.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds

from relvolbybar import RelativeVolumeByBar


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate,
        )

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add an empty strategy
    cerebro.addstrategy(bt.Strategy)

    # Get the session times to pass them to the indicator
    prestart = datetime.datetime.strptime(args.prestart, '%H:%M').time()
    start = datetime.datetime.strptime(args.start, '%H:%M').time()
    end = datetime.datetime.strptime(args.end, '%H:%M').time()

    # Add the Relative volume indicator
    cerebro.addindicator(RelativeVolumeByBar,
                         prestart=prestart, start=start, end=end)

    # Add a writer with CSV
    if args.writer:
        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)

    # And run it
    cerebro.run(stdstats=False)

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=True)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiData Strategy')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-01-02-volume-min-001.txt',
                        help='data to add to the system')

    parser.add_argument('--prestart',
                        default='08:00',
                        help='Start time for the Session Filter')

    parser.add_argument('--start',
                        default='09:15',
                        help='Start time for the Session Filter')

    parser.add_argument('--end', '-te',
                        default='17:15',
                        help='End time for the Session Filter')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--writer', '-w', action='store_true',
                        help='Add a writer to cerebro')

    parser.add_argument('--wrcsv', '-wc', action='store_true',
                        help='Enable CSV Output in the writer')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/relative-volume/relvolbybar.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import collections
import datetime
import math


import backtrader as bt


class RelativeVolumeByBar(bt.Indicator):
    alias = ('RVBB',)
    lines = ('rvbb',)

    params = (
        ('prestart', datetime.time(8, 00)),
        ('start', datetime.time(9, 10)),
        ('end', datetime.time(17, 15)),
    )

    def _plotlabel(self):
        plabels = []
        for name, value in self.params._getitems():
            plabels.append('%s: %s' % (name, value.strftime('%H:%M')))

        return plabels

    def __init__(self):
        # Inform the platform about the minimum period needs
        minbuffer = self._calcbuffer()
        self.addminperiod(minbuffer)

        # Structures/variable to keep synchronization
        self.pvol = dict()
        self.vcount = collections.defaultdict(int)

        self.days = 0
        self.dtlast = datetime.date.min

        # Done after calc to ensure coop inheritance and composition work
        super(RelativeVolumeByBar, self).__init__()

    def _barisvalid(self, tm):
        return self.p.start <= tm <= self.p.end

    def _daycount(self):
        dt = self.data.datetime.date()
        if dt > self.dtlast:
            self.days += 1
            self.dtlast = dt

    def prenext(self):
        self._daycount()

        tm = self.data.datetime.time()
        if self._barisvalid(tm):
            self.pvol[tm] = self.data.volume[0]
            self.vcount[tm] += 1

    def next(self):
        self._daycount()

        tm = self.data.datetime.time()
        if not self._barisvalid(tm):
            return

        # Record the "minute/second" of this day has been seen
        self.vcount[tm] += 1

        # Get the bar's volume
        vol = self.data.volume[0]

        # If number of days is right, we saw the same "minute/second" last day
        if self.vcount[tm] == self.days:
            self.lines.rvbb[0] = vol / self.pvol[tm]

        # Synchronize the days and volume count for next cycle
        self.vcount[tm] = self.days

        # Record the volume for this bar for next cycle
        self.pvol[tm] = vol

    def _calcbuffer(self):
        # Period calculation
        minend = self.p.end.hour * 60 + self.p.end.minute
        # minstart = session_start.hour * 60 + session_start.minute
        # use prestart to account for market_data
        minstart = self.p.prestart.hour * 60 + self.p.prestart.minute

        minbuffer = minend - minstart

        tframe = self.data._timeframe
        tcomp = self.data._compression

        if tframe == bt.TimeFrame.Seconds:
            minbuffer = (minperiod * 60)

        minbuffer = (minbuffer // tcomp) + tcomp

        return minbuffer


================================================
FILE: samples/renko/renko.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
    )

    def __init__(self):
        for d in self.datas:
            bt.ind.RSI(d)

    def next(self):
        pass


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)

    fkwargs = dict()
    fkwargs.update(**eval('dict(' + args.renko + ')'))

    if not args.dual:
        data0.addfilter(bt.filters.Renko, **fkwargs)
        cerebro.adddata(data0)
    else:
        cerebro.adddata(data0)
        data1 = data0.clone()
        data1.addfilter(bt.filters.Renko, **fkwargs)
        cerebro.adddata(data1)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    kwargs = dict(stdstats=False)
    kwargs.update(**eval('dict(' + args.cerebro + ')'))
    cerebro.run(**kwargs)

    if args.plot:  # Plot if requested to
        kwargs = dict(style='candle')
        kwargs.update(**eval('dict(' + args.plot + ')'))
        cerebro.plot(**kwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Renko bricks sample'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--renko', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--dual', required=False, action='store_true',
                        help='put the filter on a second version of the data')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/resample-tickdata/resample-tickdata.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt
import backtrader.feeds as btfeeds


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(bt.Strategy)

    # Load the Data
    datapath = args.dataname or '../../datas/ticksample.csv'

    data = btfeeds.GenericCSVData(
        dataname=datapath,
        dtformat='%Y-%m-%dT%H:%M:%S.%f',
        timeframe=bt.TimeFrame.Ticks,
    )

    # Handy dictionary for the argument timeframe conversion
    tframes = dict(
        ticks=bt.TimeFrame.Ticks,
        microseconds=bt.TimeFrame.MicroSeconds,
        seconds=bt.TimeFrame.Seconds,
        minutes=bt.TimeFrame.Minutes,
        daily=bt.TimeFrame.Days,
        weekly=bt.TimeFrame.Weeks,
        monthly=bt.TimeFrame.Months)

    # Resample the data
    cerebro.resampledata(
        data,
        timeframe=tframes[args.timeframe],
        compression=args.compression,
        bar2edge=not args.nobar2edge,
        adjbartime=not args.noadjbartime,
        rightedge=args.rightedge)

    if args.writer:
        # add a writer
        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)

    # Run over everything
    cerebro.run()

    # Plot the result
    cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Resampling script down to tick data')

    parser.add_argument('--dataname', default='', required=False,
                        help='File Data to Load')

    parser.add_argument('--timeframe', default='ticks', required=False,
                        choices=['ticks', 'microseconds', 'seconds',
                                 'minutes', 'daily', 'weekly', 'monthly'],
                        help='Timeframe to resample to')

    parser.add_argument('--compression', default=1, required=False, type=int,
                        help=('Compress n bars into 1'))

    parser.add_argument('--nobar2edge', required=False, action='store_true',
                        help=('Do not Resample IntraDay Timed Bars to edges'))

    parser.add_argument('--noadjbartime', required=False,
                        action='store_true',
                        help=('Do not adjust the time bar to meet the edges'))

    parser.add_argument('--rightedge', required=False, action='store_true',
                        help=('Resample to right edge of boundary'))

    parser.add_argument('--writer', required=False, action='store_true',
                        help=('Add a Writer'))

    parser.add_argument('--wrcsv', required=False, action='store_true',
                        help=('Add CSV to the Writer'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/rollover/rollover.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import bisect
import calendar
import datetime

import backtrader as bt


class TheStrategy(bt.Strategy):
    def start(self):
        header = ['Len', 'Name', 'RollName', 'Datetime', 'WeekDay', 'Open',
                  'High', 'Low', 'Close', 'Volume', 'OpenInterest']
        print(', '.join(header))

    def next(self):
        txt = list()
        txt.append('%04d' % len(self.data0))
        txt.append('{}'.format(self.data0._dataname))
        # Internal knowledge ... current expiration in use is in _d
        txt.append('{}'.format(self.data0._d._dataname))
        txt.append('{}'.format(self.data.datetime.date()))
        txt.append('{}'.format(self.data.datetime.date().strftime('%a')))
        txt.append('{}'.format(self.data.open[0]))
        txt.append('{}'.format(self.data.high[0]))
        txt.append('{}'.format(self.data.low[0]))
        txt.append('{}'.format(self.data.close[0]))
        txt.append('{}'.format(self.data.volume[0]))
        txt.append('{}'.format(self.data.openinterest[0]))
        print(', '.join(txt))


def checkdate(dt, d):
    # Check if the date is in the week where the 3rd friday of Mar/Jun/Sep/Dec

    # EuroStoxx50 expiry codes: MY
    # M -> H, M, U, Z (Mar, Jun, Sep, Dec)
    # Y -> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 -> year code. 5 -> 2015
    MONTHS = dict(H=3, M=6, U=9, Z=12)

    M = MONTHS[d._dataname[-2]]

    centuria, year = divmod(dt.year, 10)
    decade = centuria * 10

    YCode = int(d._dataname[-1])
    Y = decade + YCode
    if Y < dt.year:  # Example: year 2019 ... YCode is 0 for 2023
        Y += 10

    exp_day = 21 - (calendar.weekday(Y, M, 1) + 2) % 7
    exp_dt = datetime.datetime(Y, M, exp_day)

    # Get the year, week numbers
    exp_year, exp_week, _ = exp_dt.isocalendar()
    dt_year, dt_week, _ = dt.isocalendar()

    # print('dt {} vs {} exp_dt'.format(dt, exp_dt))
    # print('dt_week {} vs {} exp_week'.format(dt_week, exp_week))

    # can switch if in same week
    return (dt_year, dt_week) == (exp_year, exp_week)


def checkvolume(d0, d1):
    return d0.volume[0] < d1.volume[0]  # Switch if volume from d0 < d1


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    fcodes = ['199FESXM4', '199FESXU4', '199FESXZ4', '199FESXH5', '199FESXM5']
    store = bt.stores.VChartFile()
    ffeeds = [store.getdata(dataname=x) for x in fcodes]

    rollkwargs = dict()
    if args.checkdate:
        rollkwargs['checkdate'] = checkdate

        if args.checkcondition:
            rollkwargs['checkcondition'] = checkvolume

    if not args.no_cerebro:
        if args.rollover:
            cerebro.rolloverdata(name='FESX', *ffeeds, **rollkwargs)
        else:
            cerebro.chaindata(name='FESX', *ffeeds)
    else:
        drollover = bt.feeds.RollOver(*ffeeds, dataname='FESX', **rollkwargs)
        cerebro.adddata(drollover)

    cerebro.addstrategy(TheStrategy)
    cerebro.run(stdstats=False)

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Roll Over of Futures')

    parser.add_argument('--no-cerebro', required=False, action='store_true',
                        help='Use RollOver Directly')

    parser.add_argument('--rollover', required=False, action='store_true')

    parser.add_argument('--checkdate', required=False, action='store_true',
                        help='Change during expiration week')

    parser.add_argument('--checkcondition', required=False,
                        action='store_true',
                        help='Change when a given condition is met')

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/sharpe-timereturn/sharpe-timereturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


def runstrat(pargs=None):
    args = parse_args(pargs)

    # Create a cerebro
    cerebro = bt.Cerebro()

    if args.cash is not None:
        cerebro.broker.set_cash(args.cash)

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = bt.feeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    cerebro.adddata(data)  # Add the data to cerebro

    # Add the strategy
    cerebro.addstrategy(bt.strategies.SMA_CrossOver)

    tframes = dict(
        days=bt.TimeFrame.Days,
        weeks=bt.TimeFrame.Weeks,
        months=bt.TimeFrame.Months,
        years=bt.TimeFrame.Years)

    # Add the Analyzers
    cerebro.addanalyzer(bt.analyzers.TimeReturn,
                        timeframe=tframes[args.tframe])

    shkwargs = dict()
    if args.annualize:
        shkwargs['annualize'] = True

    if args.riskfreerate is not None:
        shkwargs['riskfreerate'] = args.riskfreerate

    if args.factor is not None:
        shkwargs['factor'] = args.factor

    if args.stddev_sample:
        shkwargs['stddev_sample'] = True

    if args.no_convertrate:
        shkwargs['convertrate'] = False

    cerebro.addanalyzer(bt.analyzers.SharpeRatio,
                        timeframe=tframes[args.tframe],
                        **shkwargs)

    # Add a writer to get output
    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)

    cerebro.run()  # And run it

    # Plot if requested
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='TimeReturns and SharpeRatio')

    parser.add_argument('--data', '-d',
                        default='../../datas/2005-2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--cash', default=None, type=float, required=False,
                        help='Starting Cash')

    parser.add_argument('--fromdate', '-f',
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--writercsv', '-wcsv', action='store_true',
                        help='Tell the writer to produce a csv stream')

    parser.add_argument('--tframe', '--timeframe', default='years',
                        required=False,
                        choices=['days', 'weeks', 'months', 'years'],
                        help='TimeFrame for the Returns/Sharpe calculations')

    parser.add_argument('--annualize', required=False, action='store_true',
                        help='Annualize Sharpe Ratio')

    parser.add_argument('--riskfreerate', required=False, action='store',
                        type=float, default=None,
                        help='Riskfree Rate (annual) for Sharpe')

    parser.add_argument('--factor', required=False, action='store',
                        type=float, default=None,
                        help=('Riskfree Rate conversion factor for Sharpe '
                              'to downgrade riskfree rate to timeframe'))

    parser.add_argument('--stddev-sample', required=False, action='store_true',
                        help='Consider Bessels correction for stddeviation')

    parser.add_argument('--no-convertrate', required=False,
                        action='store_true',
                        help=('Upgrade returns to target timeframe rather than'
                              'downgrading the riskfreerate'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/signals-strategy/signals-strategy.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import collections
import datetime

import backtrader as bt

MAINSIGNALS = collections.OrderedDict(
    (('longshort', bt.SIGNAL_LONGSHORT),
     ('longonly', bt.SIGNAL_LONG),
     ('shortonly', bt.SIGNAL_SHORT),)
)


EXITSIGNALS = {
    'longexit': bt.SIGNAL_LONGEXIT,
    'shortexit': bt.SIGNAL_LONGEXIT,
}


class SMACloseSignal(bt.Indicator):
    lines = ('signal',)
    params = (('period', 30),)

    def __init__(self):
        self.lines.signal = self.data - bt.indicators.SMA(period=self.p.period)


class SMAExitSignal(bt.Indicator):
    lines = ('signal',)
    params = (('p1', 5), ('p2', 30),)

    def __init__(self):
        sma1 = bt.indicators.SMA(period=self.p.p1)
        sma2 = bt.indicators.SMA(period=self.p.p2)
        self.lines.signal = sma1 - sma2


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # if dataset is None, args.data has been given
    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)

    cerebro.add_signal(MAINSIGNALS[args.signal],
                       SMACloseSignal, period=args.smaperiod)

    if args.exitsignal is not None:
        cerebro.add_signal(EXITSIGNALS[args.exitsignal],
                           SMAExitSignal,
                           p1=args.exitperiod,
                           p2=args.smaperiod)

    cerebro.run()
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Signal concepts')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Specific data to be read in')

    parser.add_argument('--fromdate', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--smaperiod', required=False, action='store',
                        type=int, default=30,
                        help=('Period for the moving average'))

    parser.add_argument('--exitperiod', required=False, action='store',
                        type=int, default=5,
                        help=('Period for the exit control SMA'))

    parser.add_argument('--signal', required=False, action='store',
                        default=MAINSIGNALS.keys()[0], choices=MAINSIGNALS,
                        help=('Signal type to use for the main signal'))

    parser.add_argument('--exitsignal', required=False, action='store',
                        default=None, choices=EXITSIGNALS,
                        help=('Signal type to use for the exit signal'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/sigsmacross/sigsmacross.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class SmaCross(bt.SignalStrategy):
    params = dict(sma1=10, sma2=20)

    def notify_order(self, order):
        if not order.alive():
            print('{} {} {}@{}'.format(
                bt.num2date(order.executed.dt),
                'buy' if order.isbuy() else 'sell',
                order.executed.size,
                order.executed.price)
            )

    def notify_trade(self, trade):
        if trade.isclosed:
            print('profit {}'.format(trade.pnlcomm))

    def __init__(self):
        sma1 = bt.ind.SMA(period=self.params.sma1)
        sma2 = bt.ind.SMA(period=self.params.sma2)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)


def runstrat(pargs=None):
    args = parse_args(pargs)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    data0 = bt.feeds.YahooFinanceData(
        dataname=args.data,
        fromdate=datetime.datetime.strptime(args.fromdate, '%Y-%m-%d'),
        todate=datetime.datetime.strptime(args.todate, '%Y-%m-%d'))
    cerebro.adddata(data0)

    cerebro.addstrategy(SmaCross, **(eval('dict(' + args.strat + ')')))
    cerebro.addsizer(bt.sizers.FixedSize, stake=args.stake)

    cerebro.run()
    if args.plot:
        cerebro.plot(**(eval('dict(' + args.plot + ')')))


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='sigsmacross')

    parser.add_argument('--data', required=False, default='YHOO',
                        help='Yahoo Ticker')

    parser.add_argument('--fromdate', required=False, default='2011-01-01',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False, default='2012-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store', type=float,
                        default=10000, help=('Starting cash'))

    parser.add_argument('--stake', required=False, action='store', type=int,
                        default=1, help=('Stake to apply'))

    parser.add_argument('--strat', required=False, action='store', default='',
                        help=('Arguments for the strategy'))

    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const='{}',
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/sigsmacross/sigsmacross2.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from datetime import datetime
import backtrader as bt


class SmaCross(bt.SignalStrategy):
    def __init__(self):
        sma1 = bt.ind.SMA(period=10)
        sma2 = bt.ind.SMA(period=30)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)


cerebro = bt.Cerebro()
cerebro.addstrategy(SmaCross)

data0 = bt.feeds.YahooFinanceData(dataname='YHOO',
                                  fromdate=datetime(2011, 1, 1),
                                  todate=datetime(2012, 12, 31))

cerebro.adddata(data0)

cerebro.run()
cerebro.plot()


================================================
FILE: samples/sizertest/sizertest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import random

import backtrader as bt


class CloseSMA(bt.Strategy):
    params = (('period', 15),)

    def __init__(self):
        sma = bt.indicators.SMA(self.data, period=self.p.period)
        self.crossover = bt.indicators.CrossOver(self.data, sma)

    def next(self):
        if self.crossover > 0:
            self.buy()

        elif self.crossover < 0:
            self.sell()


class LongOnly(bt.Sizer):
    params = (('stake', 1),)

    def _getsizing(self, comminfo, cash, data, isbuy):
        if isbuy:
            return self.p.stake

        # Sell situation
        position = self.broker.getposition(data)
        if not position.size:
            return 0  # do not sell if nothing is open

        return self.p.stake


class FixedReverser(bt.Sizer):
    params = (('stake', 1),)

    def _getsizing(self, comminfo, cash, data, isbuy):
        position = self.strategy.getposition(data)
        size = self.p.stake * (1 + (position.size != 0))
        return size


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0, name='Data0')

    cerebro.addstrategy(CloseSMA, period=args.period)

    if args.longonly:
        cerebro.addsizer(LongOnly, stake=args.stake)
    else:
        cerebro.addsizer(bt.sizers.FixedReverser, stake=args.stake)

    cerebro.run()
    if args.plot:
        pkwargs = dict()
        if args.plot is not True:  # evals to True but is not True
            pkwargs = eval('dict(' + args.plot + ')')  # args were passed

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for sizer')

    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--longonly', required=False, action='store_true',
                        help=('Use the LongOnly sizer'))

    parser.add_argument('--stake', required=False, action='store',
                        type=int, default=1,
                        help=('Stake to pass to the sizers'))

    parser.add_argument('--period', required=False, action='store',
                        type=int, default=15,
                        help=('Period for the Simple Moving Average'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/slippage/slippage.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import collections
import datetime
import itertools

import backtrader as bt


class SMACrossOver(bt.Indicator):
    lines = ('signal',)
    params = (('p1', 10), ('p2', 30),)

    def __init__(self):
        sma1 = bt.indicators.SMA(period=self.p.p1)
        sma2 = bt.indicators.SMA(period=self.p.p2)
        self.lines.signal = bt.indicators.CrossOver(sma1, sma2)


class SlipSt(bt.SignalStrategy):
    opcounter = itertools.count(1)

    def notify_order(self, order):
        if order.status == bt.Order.Completed:
            t = ''
            t += '{:02d}'.format(next(self.opcounter))
            t += ' {}'.format(order.data.datetime.datetime())
            t += ' BUY ' * order.isbuy() or ' SELL'
            t += ' Size: {:+d} / Price: {:.2f}'
            print(t.format(order.executed.size, order.executed.price))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()
    cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # if dataset is None, args.data has been given
    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)

    cerebro.signal_strategy(SlipSt)
    if not args.longonly:
        stype = bt.signal.SIGNAL_LONGSHORT
    else:
        stype = bt.signal.SIGNAL_LONG

    cerebro.add_signal(stype, SMACrossOver, p1=args.period1, p2=args.period2)

    if args.slip_perc is not None:
        cerebro.broker.set_slippage_perc(args.slip_perc,
                                         slip_open=args.slip_open,
                                         slip_match=not args.no_slip_match,
                                         slip_out=args.slip_out)

    elif args.slip_fixed is not None:
        cerebro.broker.set_slippage_fixed(args.slip_fixed,
                                          slip_open=args.slip_open,
                                          slip_match=not args.no_slip_match,
                                          slip_out=args.slip_out)

    cerebro.run()
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for Slippage')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Specific data to be read in')

    parser.add_argument('--fromdate', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--cash', required=False, action='store',
                        type=float, default=50000,
                        help=('Cash to start with'))

    parser.add_argument('--period1', required=False, action='store',
                        type=int, default=10,
                        help=('Fast moving average period'))

    parser.add_argument('--period2', required=False, action='store',
                        type=int, default=30,
                        help=('Slow moving average period'))

    parser.add_argument('--longonly', required=False, action='store_true',
                        help=('Long only strategy'))

    pgroup = parser.add_mutually_exclusive_group(required=False)
    pgroup.add_argument('--slip_perc', required=False, default=None,
                        type=float,
                        help='Set the value for commission percentage')

    pgroup.add_argument('--slip_fixed', required=False, default=None,
                        type=float,
                        help='Set the value for commission percentage')

    parser.add_argument('--no-slip_match', required=False, action='store_true',
                        help=('Match by capping slippage at bar ends'))

    parser.add_argument('--slip_out', required=False, action='store_true',
                        help=('Disable capping and return non-real prices'))

    parser.add_argument('--slip_open', required=False, action='store_true',
                        help=('Slip even if match price is next open'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/sratio/sratio.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import itertools
import math
import operator
import sys


if sys.version_info.major == 2:
    map = itertools.imap


def average(x):
    return math.fsum(x) / len(x)


def variance(x):
    avgx = average(x)
    return list(map(lambda y: (y - avgx) ** 2, x))


def standarddev(x):
    return math.sqrt(average(variance(x)))


def run(pargs=None):
    args = parse_args(pargs)

    returns = [args.ret1, args.ret2]
    retfree = args.riskfreerate

    print('returns is:', returns, ' - retfree is:', retfree)

    # Directly from backtrader
    retfree = itertools.repeat(retfree)
    ret_free = map(operator.sub, returns, retfree)  # excess returns
    ret_free_avg = average(list(ret_free))  # mean of the excess returns
    print('returns excess mean:', ret_free_avg)
    retdev = standarddev(returns)  # standard deviation
    print('returns standard deviation:', retdev)
    ratio = ret_free_avg / retdev  # mean excess returns  / std deviation
    print('Sharpe Ratio is:', ratio)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample Sharpe Ratio')

    parser.add_argument('--ret1', required=False, action='store',
                        type=float, default=0.023286,
                        help=('Annual Return 1'))

    parser.add_argument('--ret2', required=False, action='store',
                        type=float, default=0.0257816485323,
                        help=('Annual Return 2'))

    parser.add_argument('--riskfreerate', required=False, action='store',
                        type=float, default=0.01,
                        help=('Risk free rate (decimal) for the Sharpe Ratio'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    run()


================================================
FILE: samples/stop-trading/stop-loss-approaches.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class BaseStrategy(bt.Strategy):
    params = dict(
        fast_ma=10,
        slow_ma=20,
    )

    def __init__(self):
        # omitting a data implies self.datas[0] (aka self.data and self.data0)
        fast_ma = bt.ind.EMA(period=self.p.fast_ma)
        slow_ma = bt.ind.EMA(period=self.p.slow_ma)
        # our entry point
        self.crossup = bt.ind.CrossUp(fast_ma, slow_ma)


class ManualStopOrStopTrail(BaseStrategy):
    params = dict(
        stop_loss=0.02,  # price is 2% less than the entry point
        trail=False,
    )

    def notify_order(self, order):
        if not order.status == order.Completed:
            return  # discard any other notification

        if not self.position:  # we left the market
            print('SELL@price: {:.2f}'.format(order.executed.price))
            return

        # We have entered the market
        print('BUY @price: {:.2f}'.format(order.executed.price))

        if not self.p.trail:
            stop_price = order.executed.price * (1.0 - self.p.stop_loss)
            self.sell(exectype=bt.Order.Stop, price=stop_price)
        else:
            self.sell(exectype=bt.Order.StopTrail, trailamount=self.p.trail)

    def next(self):
        if not self.position and self.crossup > 0:
            # not in the market and signal triggered
            self.buy()


class ManualStopOrStopTrailCheat(BaseStrategy):
    params = dict(
        stop_loss=0.02,  # price is 2% less than the entry point
        trail=False,
    )

    def __init__(self):
        super().__init__()
        self.broker.set_coc(True)

    def notify_order(self, order):
        if not order.status == order.Completed:
            return  # discard any other notification

        if not self.position:  # we left the market
            print('SELL@price: {:.2f}'.format(order.executed.price))
            return

        # We have entered the market
        print('BUY @price: {:.2f}'.format(order.executed.price))

    def next(self):
        if not self.position and self.crossup > 0:
            # not in the market and signal triggered
            self.buy()

            if not self.p.trail:
                stop_price = self.data.close[0] * (1.0 - self.p.stop_loss)
                self.sell(exectype=bt.Order.Stop, price=stop_price)
            else:
                self.sell(exectype=bt.Order.StopTrail,
                          trailamount=self.p.trail)


class AutoStopOrStopTrail(BaseStrategy):
    params = dict(
        stop_loss=0.02,  # price is 2% less than the entry point
        trail=False,
        buy_limit=False,
    )

    buy_order = None  # default value for a potential buy_order

    def notify_order(self, order):
        if order.status == order.Cancelled:
            print('CANCEL@price: {:.2f} {}'.format(
                order.executed.price, 'buy' if order.isbuy() else 'sell'))
            return

        if not order.status == order.Completed:
            return  # discard any other notification

        if not self.position:  # we left the market
            print('SELL@price: {:.2f}'.format(order.executed.price))
            return

        # We have entered the market
        print('BUY @price: {:.2f}'.format(order.executed.price))

    def next(self):
        if not self.position and self.crossup > 0:
            if self.buy_order:  # something was pending
                self.cancel(self.buy_order)

            # not in the market and signal triggered
            if not self.p.buy_limit:
                self.buy_order = self.buy(transmit=False)
            else:
                price = self.data.close[0] * (1.0 - self.p.buy_limit)

                # transmit = False ... await child order before transmission
                self.buy_order = self.buy(price=price, exectype=bt.Order.Limit,
                                          transmit=False)

            # Setting parent=buy_order ... sends both together
            if not self.p.trail:
                stop_price = self.data.close[0] * (1.0 - self.p.stop_loss)
                self.sell(exectype=bt.Order.Stop, price=stop_price,
                          parent=self.buy_order)
            else:
                self.sell(exectype=bt.Order.StopTrail,
                          trailamount=self.p.trail,
                          parent=self.buy_order)


APPROACHES = dict(
    manual=ManualStopOrStopTrail,
    manualcheat=ManualStopOrStopTrailCheat,
    auto=AutoStopOrStopTrail,
)


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    StClass = APPROACHES[args.approach]
    cerebro.addstrategy(StClass, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Stop-Loss Approaches'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Strategy to choose
    parser.add_argument('approach', choices=APPROACHES.keys(),
                        help='Stop approach to use')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/stoptrail/trail.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        ma=bt.ind.SMA,
        p1=10,
        p2=30,
        stoptype=bt.Order.StopTrail,
        trailamount=0.0,
        trailpercent=0.0,
        limitoffset=0.0,
    )

    def __init__(self):
        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)
        self.crup = bt.ind.CrossUp(ma1, ma2)
        self.order = None

    def next(self):
        if not self.position:
            if self.crup:
                o = self.buy()
                self.order = None
                print('*' * 50)

        elif self.order is None:
            if self.p.stoptype == bt.Order.StopTrailLimit:
                price = self.data.close[0]
                plimit = self.data.close[0] + self.p.limitoffset
            else:
                price = None
                plimit = None

            self.order = self.sell(exectype=self.p.stoptype,
                                   price=price,
                                   plimit=plimit,
                                   trailamount=self.p.trailamount,
                                   trailpercent=self.p.trailpercent)

            if self.p.trailamount:
                tcheck = self.data.close - self.p.trailamount
            else:
                tcheck = self.data.close * (1.0 - self.p.trailpercent)
            print(','.join(
                map(str, [self.datetime.date(), self.data.close[0],
                          self.order.created.price, tcheck])
                )
            )
            print('-' * 10)
        else:
            if self.p.trailamount:
                tcheck = self.data.close - self.p.trailamount
            else:
                tcheck = self.data.close * (1.0 - self.p.trailpercent)
            print(','.join(
                map(str, [self.datetime.date(), self.data.close[0],
                          self.order.created.price, tcheck])
                )
            )


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'StopTrail Sample'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/strategy-selection/strategy-selection.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse

import backtrader as bt


class St0(bt.SignalStrategy):
    def __init__(self):
        sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)


class St1(bt.SignalStrategy):
    def __init__(self):
        sma1 = bt.ind.SMA(period=10)
        crossover = bt.ind.CrossOver(self.data.close, sma1)
        self.signal_add(bt.SIGNAL_LONG, crossover)


class StFetcher(object):
    _STRATS = [St0, St1]

    def __new__(cls, *args, **kwargs):
        idx = kwargs.pop('idx')

        obj = cls._STRATS[idx](*args, **kwargs)
        return obj


def runstrat(pargs=None):
    args = parse_args(pargs)

    cerebro = bt.Cerebro()
    data = bt.feeds.BacktraderCSVData(dataname=args.data)
    cerebro.adddata(data)

    cerebro.addanalyzer(bt.analyzers.Returns)
    cerebro.optstrategy(StFetcher, idx=[0, 1])
    results = cerebro.run(maxcpus=args.maxcpus, optreturn=args.optreturn)

    strats = [x[0] for x in results]  # flatten the result
    for i, strat in enumerate(strats):
        rets = strat.analyzers.returns.get_analysis()
        print('Strat {} Name {}:\n  - analyzer: {}\n'.format(
            i, strat.__class__.__name__, rets))


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for strategy selection')

    parser.add_argument('--data', required=False,
                        default='../../datas/2005-2006-day-001.txt',
                        help='Data to be read in')

    parser.add_argument('--maxcpus', required=False, action='store',
                        default=None, type=int,
                        help='Limit the numer of CPUs to use')

    parser.add_argument('--optreturn', required=False, action='store_true',
                        help='Return reduced/mocked strategy object')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/talib/tablibsartest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class TALibStrategy(bt.Strategy):
    def __init__(self):
        bt.talib.SAR(self.data.high, self.data.low)
        bt.ind.PSAR()


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0)

    cerebro.addstrategy(TALibStrategy)
    cerebro.run(runonce=not args.use_next, stdstats=False)
    if args.plot:
        pkwargs = dict(style='candle')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for sizer')

    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--use-next', required=False, action='store_true',
                        help=('Use next (step by step) '
                              'instead of once (batch)'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example (escape the quotes if needed):\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/talib/talibtest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class TALibStrategy(bt.Strategy):
    params = (('ind', 'sma'), ('doji', True),)

    INDS = ['sma', 'ema', 'stoc', 'rsi', 'macd', 'bollinger', 'aroon',
            'ultimate', 'trix', 'kama', 'adxr', 'dema', 'ppo', 'tema',
            'roc', 'williamsr']

    def __init__(self):
        if self.p.doji:
            bt.talib.CDLDOJI(self.data.open, self.data.high,
                             self.data.low, self.data.close)

        if self.p.ind == 'sma':
            bt.talib.SMA(self.data.close, timeperiod=25, plotname='TA_SMA')
            bt.indicators.SMA(self.data, period=25)
        elif self.p.ind == 'ema':
            bt.talib.EMA(timeperiod=25, plotname='TA_SMA')
            bt.indicators.EMA(period=25)
        elif self.p.ind == 'stoc':
            bt.talib.STOCH(self.data.high, self.data.low, self.data.close,
                           fastk_period=14, slowk_period=3, slowd_period=3,
                           plotname='TA_STOCH')

            bt.indicators.Stochastic(self.data)

        elif self.p.ind == 'macd':
            bt.talib.MACD(self.data, plotname='TA_MACD')
            bt.indicators.MACD(self.data)
            bt.indicators.MACDHisto(self.data)
        elif self.p.ind == 'bollinger':
            bt.talib.BBANDS(self.data, timeperiod=25,
                            plotname='TA_BBANDS')
            bt.indicators.BollingerBands(self.data, period=25)

        elif self.p.ind == 'rsi':
            bt.talib.RSI(self.data, plotname='TA_RSI')
            bt.indicators.RSI(self.data)

        elif self.p.ind == 'aroon':
            bt.talib.AROON(self.data.high, self.data.low, plotname='TA_AROON')
            bt.indicators.AroonIndicator(self.data)

        elif self.p.ind == 'ultimate':
            bt.talib.ULTOSC(self.data.high, self.data.low, self.data.close,
                            plotname='TA_ULTOSC')
            bt.indicators.UltimateOscillator(self.data)

        elif self.p.ind == 'trix':
            bt.talib.TRIX(self.data, timeperiod=25,  plotname='TA_TRIX')
            bt.indicators.Trix(self.data, period=25)

        elif self.p.ind == 'adxr':
            bt.talib.ADXR(self.data.high, self.data.low, self.data.close,
                          plotname='TA_ADXR')
            bt.indicators.ADXR(self.data)

        elif self.p.ind == 'kama':
            bt.talib.KAMA(self.data, timeperiod=25, plotname='TA_KAMA')
            bt.indicators.KAMA(self.data, period=25)

        elif self.p.ind == 'dema':
            bt.talib.DEMA(self.data, timeperiod=25, plotname='TA_DEMA')
            bt.indicators.DEMA(self.data, period=25)

        elif self.p.ind == 'ppo':
            bt.talib.PPO(self.data, plotname='TA_PPO')
            bt.indicators.PPO(self.data, _movav=bt.indicators.SMA)

        elif self.p.ind == 'tema':
            bt.talib.TEMA(self.data, timeperiod=25, plotname='TA_TEMA')
            bt.indicators.TEMA(self.data, period=25)

        elif self.p.ind == 'roc':
            bt.talib.ROC(self.data, timeperiod=12, plotname='TA_ROC')
            bt.talib.ROCP(self.data, timeperiod=12, plotname='TA_ROCP')
            bt.talib.ROCR(self.data, timeperiod=12, plotname='TA_ROCR')
            bt.talib.ROCR100(self.data, timeperiod=12, plotname='TA_ROCR100')
            bt.indicators.ROC(self.data, period=12)
            bt.indicators.Momentum(self.data, period=12)
            bt.indicators.MomentumOscillator(self.data, period=12)

        elif self.p.ind == 'williamsr':
            bt.talib.WILLR(self.data.high, self.data.low, self.data.close,
                           plotname='TA_WILLR')
            bt.indicators.WilliamsR(self.data)


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    dkwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    data0 = bt.feeds.YahooFinanceCSVData(dataname=args.data0, **dkwargs)
    cerebro.adddata(data0)

    cerebro.addstrategy(TALibStrategy, ind=args.ind, doji=not args.no_doji)

    cerebro.run(runcone=not args.use_next, stdstats=False)
    if args.plot:
        pkwargs = dict(style='candle')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):

    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for sizer')

    parser.add_argument('--data0', required=False,
                        default='../../datas/yhoo-1996-2015.txt',
                        help='Data to be read in')

    parser.add_argument('--fromdate', required=False,
                        default='2005-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=False,
                        default='2006-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--ind', required=False, action='store',
                        default=TALibStrategy.INDS[0],
                        choices=TALibStrategy.INDS,
                        help=('Which indicator pair to show together'))

    parser.add_argument('--no-doji', required=False, action='store_true',
                        help=('Remove Doji CandleStick pattern checker'))

    parser.add_argument('--use-next', required=False, action='store_true',
                        help=('Use next (step by step) '
                              'instead of once (batch)'))

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example (escape the quotes if needed):\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/timers/scheduled-min.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        when=bt.timer.SESSION_START,
        timer=True,
        cheat=False,
        offset=datetime.timedelta(),
        repeat=datetime.timedelta(),
        weekdays=[],
        weekcarry=False,
        monthdays=[],
        monthcarry=True,
    )

    def __init__(self):
        bt.ind.SMA()
        if self.p.timer:
            self.add_timer(
                when=self.p.when,
                offset=self.p.offset,
                repeat=self.p.repeat,
                weekdays=self.p.weekdays,
                weekcarry=self.p.weekcarry,
                monthdays=self.p.monthdays,
                monthcarry=self.p.monthcarry,
                # tzdata=self.data0,
            )
        if self.p.cheat:
            self.add_timer(
                when=self.p.when,
                offset=self.p.offset,
                repeat=self.p.repeat,
                weekdays=self.p.weekdays,
                weekcarry=self.p.weekcarry,
                monthdays=self.p.monthdays,
                monthcarry=self.p.monthcarry,
                tzdata=self.data0,
                cheat=True,
            )

        self.order = None

    def prenext(self):
        self.next()

    def next(self):
        _, isowk, isowkday = self.datetime.date().isocalendar()
        txt = '{}, {}, Week {}, Day {}, O {}, H {}, L {}, C {}'.format(
            len(self), self.datetime.datetime(),
            isowk, isowkday,
            self.data.open[0], self.data.high[0],
            self.data.low[0], self.data.close[0])

        print(txt)

    def notify_timer(self, timer, when, *args, **kwargs):
        print('strategy notify_timer with tid {}, when {} cheat {}'.
              format(timer.p.tid, when, timer.p.cheat))

        if self.order is None and timer.params.cheat:
            print('-- {} Create buy order'.format(
                self.data.datetime.datetime()))
            self.order = self.buy()

    def notify_order(self, order):
        if order.status == order.Completed:
            print('-- {} Buy Exec @ {}'.format(
                self.data.datetime.datetime(), order.executed.price))


def runstrat(args=None):
    args = parse_args(args)
    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict(
        timeframe=bt.TimeFrame.Minutes,
        compression=5,
        sessionstart=datetime.time(9, 0),
        sessionend=datetime.time(17, 30),
    )

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Timer Test Intraday'
        )
    )

    parser.add_argument('--data0', default='../../datas/2006-min-005.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/timers/scheduled.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class St(bt.Strategy):
    params = dict(
        when=bt.timer.SESSION_START,
        timer=True,
        cheat=False,
        offset=datetime.timedelta(),
        repeat=datetime.timedelta(),
        weekdays=[],
    )

    def __init__(self):
        bt.ind.SMA()
        if self.p.timer:
            self.add_timer(
                when=self.p.when,
                offset=self.p.offset,
                repeat=self.p.repeat,
                weekdays=self.p.weekdays,
            )
        if self.p.cheat:
            self.add_timer(
                when=self.p.when,
                offset=self.p.offset,
                repeat=self.p.repeat,
                cheat=True,
            )

        self.order = None

    def prenext(self):
        self.next()

    def next(self):
        _, isowk, isowkday = self.datetime.date().isocalendar()
        txt = '{}, {}, Week {}, Day {}, O {}, H {}, L {}, C {}'.format(
            len(self), self.datetime.datetime(),
            isowk, isowkday,
            self.data.open[0], self.data.high[0],
            self.data.low[0], self.data.close[0])

        print(txt)

    def notify_timer(self, timer, when, *args, **kwargs):
        print('strategy notify_timer with tid {}, when {} cheat {}'.
              format(timer.p.tid, when, timer.p.cheat))

        if self.order is None and timer.p.cheat:
            print('-- {} Create buy order'.format(self.data.datetime.date()))
            self.order = self.buy()

    def notify_order(self, order):
        if order.status == order.Completed:
            print('-- {} Buy Exec @ {}'.format(
                self.data.datetime.date(), order.executed.price))


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict(
        timeframe=bt.TimeFrame.Days,
        compression=1,
        sessionstart=datetime.time(9, 0),
        sessionend=datetime.time(17, 30),
    )

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/tradingcalendar/tcal-intra.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class NYSE_2016(bt.TradingCalendar):
    params = dict(
        holidays=[
            datetime.date(2016, 1, 1),
            datetime.date(2016, 1, 18),
            datetime.date(2016, 2, 15),
            datetime.date(2016, 3, 25),
            datetime.date(2016, 5, 30),
            datetime.date(2016, 7, 4),
            datetime.date(2016, 9, 5),
            datetime.date(2016, 11, 24),
            datetime.date(2016, 12, 26),
        ],
        earlydays=[
            (datetime.date(2016, 11, 25),
             datetime.time(9, 30), datetime.time(13, 1))
        ],
        open=datetime.time(9, 30),
        close=datetime.time(16, 0),
    )


class St(bt.Strategy):
    params = dict(
    )

    def __init__(self):
        pass

    def prenext(self):
        self.next()

    def next(self):
        print('Strategy len {} datetime {}'.format(
            len(self), self.datetime.datetime()), end=' ')

        print('Data0 len {} datetime {}'.format(
            len(self.data0), self.data0.datetime.datetime()), end=' ')

        if len(self.data1):
            print('Data1 len {} datetime {}'.format(
                len(self.data1), self.data1.datetime.datetime()))
        else:
            print()


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    # kwargs = dict(tz='US/Eastern')
    # import pytz
    # tz = tzinput = pytz.timezone('Europe/Berlin')
    tzinput = 'Europe/Berlin'
    # tz = tzinput
    tz = 'US/Eastern'
    kwargs = dict(tzinput=tzinput, tz=tz)

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    d1 = cerebro.resampledata(data0,
                              timeframe=getattr(bt.TimeFrame, args.timeframe))
    # d1.plotinfo.plotmaster = data0
    # d1.plotinfo.sameaxis = False

    if args.pandascal:
        cerebro.addcalendar(args.pandascal)
    elif args.owncal:
        cerebro.addcalendar(NYSE_2016())  # or NYSE_2016() to pass an instance

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Trading Calendar Sample'
        )
    )

    parser.add_argument('--data0', default='yhoo-2016-11.csv',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='2016-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='2016-12-31',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    pgroup = parser.add_mutually_exclusive_group(required=False)
    pgroup.add_argument('--pandascal', required=False, action='store',
                        default='', help='Name of trading calendar to use')

    pgroup.add_argument('--owncal', required=False, action='store_true',
                        help='Apply custom NYSE 2016 calendar')

    parser.add_argument('--timeframe', required=False, action='store',
                        default='Days', choices=['Days'],
                        help='Timeframe to resample to')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/tradingcalendar/tcal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt


class NYSE_2016(bt.TradingCalendar):
    params = dict(
        holidays=[
            datetime.date(2016, 1, 1),
            datetime.date(2016, 1, 18),
            datetime.date(2016, 2, 15),
            datetime.date(2016, 3, 25),
            datetime.date(2016, 5, 30),
            datetime.date(2016, 7, 4),
            datetime.date(2016, 9, 5),
            datetime.date(2016, 11, 24),
            datetime.date(2016, 12, 26),
        ]
    )


class St(bt.Strategy):
    params = dict(
    )

    def __init__(self):
        pass

    def start(self):
        self.t0 = datetime.datetime.utcnow()

    def stop(self):
        t1 = datetime.datetime.utcnow()
        print('Duration:', t1 - self.t0)

    def prenext(self):
        self.next()

    def next(self):
        print('Strategy len {} datetime {}'.format(
            len(self), self.datetime.date()), end=' ')

        print('Data0 len {} datetime {}'.format(
            len(self.data0), self.data0.datetime.date()), end=' ')

        if len(self.data1):
            print('Data1 len {} datetime {}'.format(
                len(self.data1), self.data1.datetime.date()))
        else:
            print()


def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    YahooData = bt.feeds.YahooFinanceData
    if args.offline:
        YahooData = bt.feeds.YahooFinanceCSVData  # change to read file

    # Data feed
    data0 = YahooData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    d1 = cerebro.resampledata(data0,
                              timeframe=getattr(bt.TimeFrame, args.timeframe))
    d1.plotinfo.plotmaster = data0
    d1.plotinfo.sameaxis = True

    if args.pandascal:
        cerebro.addcalendar(args.pandascal)
    elif args.owncal:
        cerebro.addcalendar(NYSE_2016)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Trading Calendar Sample'
        )
    )

    parser.add_argument('--data0', default='YHOO',
                        required=False, help='Data to read in')

    parser.add_argument('--offline', required=False, action='store_true',
                        help='Read from disk with same name as ticker')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='2016-01-01',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='2016-12-31',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    pgroup = parser.add_mutually_exclusive_group(required=False)
    pgroup.add_argument('--pandascal', required=False, action='store',
                        default='', help='Name of trading calendar to use')

    pgroup.add_argument('--owncal', required=False, action='store_true',
                        help='Apply custom NYSE 2016 calendar')

    parser.add_argument('--timeframe', required=False, action='store',
                        default='Weeks', choices=['Weeks', 'Months', 'Years'],
                        help='Timeframe to resample to')

    return parser.parse_args(pargs)


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/vctest/vctest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
from backtrader.utils import flushfile  # win32 quick stdout flushing
from backtrader.utils.py3 import string_types


class TestStrategy(bt.Strategy):
    params = dict(
        smaperiod=5,
        trade=False,
        stake=10,
        exectype=bt.Order.Market,
        stopafter=0,
        valid=None,
        cancel=0,
        donotsell=False,
        price=None,
        pstoplimit=None,
    )

    def __init__(self):
        # To control operation entries
        self.orderid = list()
        self.order = None

        self.counttostop = 0
        self.datastatus = 0

        # Create SMA on 2nd data
        self.sma = bt.indicators.MovAv.SMA(self.data, period=self.p.smaperiod)

        print('--------------------------------------------------')
        print('Strategy Created')
        print('--------------------------------------------------')

    def notify_data(self, data, status, *args, **kwargs):
        print('*' * 5, 'DATA NOTIF:', data._getstatusname(status), *args)
        if status == data.LIVE:
            self.counttostop = self.p.stopafter
            self.datastatus = 1

    def notify_store(self, msg, *args, **kwargs):
        print('*' * 5, 'STORE NOTIF:', msg)

    def notify_order(self, order):
        if order.status in [order.Completed, order.Cancelled, order.Rejected]:
            self.order = None

        print('-' * 50, 'ORDER BEGIN', datetime.datetime.now())
        print(order)
        print('-' * 50, 'ORDER END')

    def notify_trade(self, trade):
        print('-' * 50, 'TRADE BEGIN', datetime.datetime.now())
        print(trade)
        print('-' * 50, 'TRADE END')

    def prenext(self):
        self.next(frompre=True)

    def next(self, frompre=False):
        txt = list()
        txt.append('%04d' % len(self))
        dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
        txt.append('%s' % self.data.datetime.datetime(0).strftime(dtfmt))
        txt.append('{}'.format(self.data.open[0]))
        txt.append('{}'.format(self.data.high[0]))
        txt.append('{}'.format(self.data.low[0]))
        txt.append('{}'.format(self.data.close[0]))
        txt.append('{}'.format(self.data.volume[0]))
        txt.append('{}'.format(self.data.openinterest[0]))
        txt.append('{}'.format(self.sma[0]))
        print(', '.join(txt))

        if len(self.datas) > 1:
            txt = list()
            txt.append('%04d' % len(self))
            dtfmt = '%Y-%m-%dT%H:%M:%S.%f'
            txt.append('%s' % self.data1.datetime.datetime(0).strftime(dtfmt))
            txt.append('{}'.format(self.data1.open[0]))
            txt.append('{}'.format(self.data1.high[0]))
            txt.append('{}'.format(self.data1.low[0]))
            txt.append('{}'.format(self.data1.close[0]))
            txt.append('{}'.format(self.data1.volume[0]))
            txt.append('{}'.format(self.data1.openinterest[0]))
            txt.append('{}'.format(float('NaN')))
            print(', '.join(txt))

        if self.counttostop:  # stop after x live lines
            self.counttostop -= 1
            if not self.counttostop:
                self.env.runstop()
                return

        if not self.p.trade:
            return

        # if True and len(self.orderid) < 1:
        if self.datastatus and not self.position and len(self.orderid) < 1:
            self.order = self.buy(size=self.p.stake,
                                  exectype=self.p.exectype,
                                  price=self.p.price,
                                  plimit=self.p.pstoplimit,
                                  valid=self.p.valid)

            self.orderid.append(self.order)
        elif self.position.size > 0 and not self.p.donotsell:
            if self.order is None:
                size = self.p.stake // 2
                if not size:
                    size = self.position.size  # use the remaining
                self.order = self.sell(size=size, exectype=bt.Order.Market)

        elif self.order is not None and self.p.cancel:
            if self.datastatus > self.p.cancel:
                self.cancel(self.order)

        if self.datastatus:
            self.datastatus += 1

    def start(self):
        header = ['Datetime', 'Open', 'High', 'Low', 'Close', 'Volume',
                  'OpenInterest', 'SMA']
        print(', '.join(header))

        self.done = False


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    storekwargs = dict()

    if not args.nostore:
        vcstore = bt.stores.VCStore(**storekwargs)

    if args.broker:
        brokerargs = dict(account=args.account, **storekwargs)
        if not args.nostore:
            broker = vcstore.getbroker(**brokerargs)
        else:
            broker = bt.brokers.VCBroker(**brokerargs)

        cerebro.setbroker(broker)

    timeframe = bt.TimeFrame.TFrame(args.timeframe)
    if args.resample or args.replay:
        datatf = bt.TimeFrame.Ticks
        datacomp = 1
    else:
        datatf = timeframe
        datacomp = args.compression

    fromdate = None
    if args.fromdate:
        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.fromdate))
        fromdate = datetime.datetime.strptime(args.fromdate, dtformat)

    todate = None
    if args.todate:
        dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.todate))
        todate = datetime.datetime.strptime(args.todate, dtformat)

    VCDataFactory = vcstore.getdata if not args.nostore else bt.feeds.VCData

    datakwargs = dict(
        timeframe=datatf, compression=datacomp,
        fromdate=fromdate, todate=todate,
        historical=args.historical,
        qcheck=args.qcheck,
        tz=args.timezone
    )

    if args.nostore and not args.broker:   # neither store nor broker
        datakwargs.update(storekwargs)  # pass the store args over the data

    data0 = VCDataFactory(dataname=args.data0, tradename=args.tradename,
                          **datakwargs)

    data1 = None
    if args.data1 is not None:
        data1 = VCDataFactory(dataname=args.data1, **datakwargs)

    rekwargs = dict(
        timeframe=timeframe, compression=args.compression,
        bar2edge=not args.no_bar2edge,
        adjbartime=not args.no_adjbartime,
        rightedge=not args.no_rightedge,
    )

    if args.replay:
        cerebro.replaydata(data0, **rekwargs)

        if data1 is not None:
            cerebro.replaydata(data1, **rekwargs)

    elif args.resample:
        cerebro.resampledata(data0, **rekwargs)

        if data1 is not None:
            cerebro.resampledata(data1, **rekwargs)

    else:
        cerebro.adddata(data0)
        if data1 is not None:
            cerebro.adddata(data1)

    if args.valid is None:
        valid = None
    else:
        try:
            valid = float(args.valid)
        except:
            dtformat = '%Y-%m-%d' + ('T%H:%M:%S' * ('T' in args.valid))
            valid = datetime.datetime.strptime(args.valid, dtformat)
        else:
            valid = datetime.timedelta(seconds=args.valid)

    # Add the strategy
    cerebro.addstrategy(TestStrategy,
                        smaperiod=args.smaperiod,
                        trade=args.trade,
                        exectype=bt.Order.ExecType(args.exectype),
                        stake=args.stake,
                        stopafter=args.stopafter,
                        valid=valid,
                        cancel=args.cancel,
                        donotsell=args.donotsell,
                        price=args.price,
                        pstoplimit=args.pstoplimit)

    # Live data ... avoid long data accumulation by switching to "exactbars"
    cerebro.run(exactbars=args.exactbars)

    if args.plot and args.exactbars < 1:  # plot if possible
        cerebro.plot()


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Test Visual Chart 6 integration')

    parser.add_argument('--exactbars', default=1, type=int,
                        required=False, action='store',
                        help='exactbars level, use 0/-1/-2 to enable plotting')

    parser.add_argument('--plot',
                        required=False, action='store_true',
                        help='Plot if possible')

    parser.add_argument('--stopafter', default=0, type=int,
                        required=False, action='store',
                        help='Stop after x lines of LIVE data')

    parser.add_argument('--nostore',
                        required=False, action='store_true',
                        help='Do not Use the store pattern')

    parser.add_argument('--qcheck', default=0.5, type=float,
                        required=False, action='store',
                        help=('Timeout for periodic '
                              'notification/resampling/replaying check'))

    parser.add_argument('--no-timeoffset',
                        required=False, action='store_true',
                        help=('Do not Use TWS/System time offset for non '
                              'timestamped prices and to align resampling'))

    parser.add_argument('--data0', default=None,
                        required=True, action='store',
                        help='data 0 into the system')

    parser.add_argument('--tradename', default=None,
                        required=False, action='store',
                        help='Actual Trading Name of the asset')

    parser.add_argument('--data1', default=None,
                        required=False, action='store',
                        help='data 1 into the system')

    parser.add_argument('--timezone', default=None,
                        required=False, action='store',
                        help='timezone to get time output into (pytz names)')

    parser.add_argument('--historical',
                        required=False, action='store_true',
                        help='do only historical download')

    parser.add_argument('--fromdate',
                        required=False, action='store',
                        help=('Starting date for historical download '
                              'with format: YYYY-MM-DD[THH:MM:SS]'))

    parser.add_argument('--todate',
                        required=False, action='store',
                        help=('End date for historical download '
                              'with format: YYYY-MM-DD[THH:MM:SS]'))

    parser.add_argument('--smaperiod', default=5, type=int,
                        required=False, action='store',
                        help='Period to apply to the Simple Moving Average')

    pgroup = parser.add_mutually_exclusive_group(required=False)

    pgroup.add_argument('--replay',
                        required=False, action='store_true',
                        help='replay to chosen timeframe')

    pgroup.add_argument('--resample',
                        required=False, action='store_true',
                        help='resample to chosen timeframe')

    parser.add_argument('--timeframe', default=bt.TimeFrame.Names[0],
                        choices=bt.TimeFrame.Names,
                        required=False, action='store',
                        help='TimeFrame for Resample/Replay')

    parser.add_argument('--compression', default=1, type=int,
                        required=False, action='store',
                        help='Compression for Resample/Replay')

    parser.add_argument('--no-bar2edge',
                        required=False, action='store_true',
                        help='no bar2edge for resample/replay')

    parser.add_argument('--no-adjbartime',
                        required=False, action='store_true',
                        help='no adjbartime for resample/replay')

    parser.add_argument('--no-rightedge',
                        required=False, action='store_true',
                        help='no rightedge for resample/replay')

    parser.add_argument('--broker',
                        required=False, action='store_true',
                        help='Use VisualChart as broker')

    parser.add_argument('--account', default=None,
                        required=False, action='store',
                        help='Choose broker account (else first)')

    parser.add_argument('--trade',
                        required=False, action='store_true',
                        help='Do Sample Buy/Sell operations')

    parser.add_argument('--donotsell',
                        required=False, action='store_true',
                        help='Do not sell after a buy')

    parser.add_argument('--exectype', default=bt.Order.ExecTypes[0],
                        choices=bt.Order.ExecTypes,
                        required=False, action='store',
                        help='Execution to Use when opening position')

    parser.add_argument('--price', default=None, type=float,
                        required=False, action='store',
                        help='Price in Limit orders or Stop Trigger Price')

    parser.add_argument('--pstoplimit', default=None, type=float,
                        required=False, action='store',
                        help='Price for the limit in StopLimit')

    parser.add_argument('--stake', default=10, type=int,
                        required=False, action='store',
                        help='Stake to use in buy operations')

    parser.add_argument('--valid', default=None,
                        required=False, action='store',
                        help='Seconds or YYYY-MM-DD')

    parser.add_argument('--cancel', default=0, type=int,
                        required=False, action='store',
                        help=('Cancel a buy order after n bars in operation,'
                              ' to be combined with orders like Limit'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/volumefilling/volumefilling.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import os.path
import time
import sys


import backtrader as bt


class St(bt.Strategy):
    params = (
        ('stakeperc', 10.0),
        ('opbreak', 10),
    )

    def notify_order(self, order):
        print('-- NOTIFY ORDER BEGIN')
        print(order)
        print('-- NOTIFY ORDER END')
        print('-- ORDER REMSIZE:', order.executed.remsize)

        if order.status == order.Completed:
            print('++ ORDER COMPLETED at data.len:', len(order.data))
            self.doop = -self.p.opbreak

    def __init__(self):
        pass

    def start(self):
        self.callcounter = 0
        txtfields = list()
        txtfields.append('Len')
        txtfields.append('Datetime')
        txtfields.append('Open')
        txtfields.append('High')
        txtfields.append('Low')
        txtfields.append('Close')
        txtfields.append('Volume')
        txtfields.append('OpenInterest')
        print(','.join(txtfields))

        self.doop = 0

    def next(self):
        txtfields = list()
        txtfields.append('%04d' % len(self))
        txtfields.append(self.data0.datetime.date(0).isoformat())
        txtfields.append('%.2f' % self.data0.open[0])
        txtfields.append('%.2f' % self.data0.high[0])
        txtfields.append('%.2f' % self.data0.low[0])
        txtfields.append('%.2f' % self.data0.close[0])
        txtfields.append('%.2f' % self.data0.volume[0])
        txtfields.append('%.2f' % self.data0.openinterest[0])
        print(','.join(txtfields))

        # Single order
        if self.doop == 0:
            if not self.position.size:
                stakevol = (self.data0.volume[0] * self.p.stakeperc) // 100
                print('++ STAKE VOLUME:', stakevol)
                self.buy(size=stakevol)

            else:
                self.close()

        self.doop += 1


FILLERS = {
    'FixedSize': bt.broker.fillers.FixedSize,
    'FixedBarPerc': bt.broker.fillers.FixedBarPerc,
    'BarPointPerc': bt.broker.fillers.BarPointPerc,
}


def runstrat():
    args = parse_args()

    datakwargs = dict()
    if args.fromdate:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        datakwargs['fromdate'] = fromdate

    if args.todate:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        datakwargs['todate'] = todate

    data = bt.feeds.BacktraderCSVData(dataname=args.data, **datakwargs)

    cerebro = bt.Cerebro()
    cerebro.adddata(data)

    cerebro.broker.set_cash(args.cash)
    if args.filler is not None:
        fillerkwargs = dict()
        if args.filler_args is not None:
            fillerkwargs = eval('dict(' + args.filler_args + ')')

        filler = FILLERS[args.filler](**fillerkwargs)
        cerebro.broker.set_filler(filler)

    cerebro.addstrategy(St, stakeperc=args.stakeperc, opbreak=args.opbreak)

    cerebro.run()
    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Volume Filling Sample')

    parser.add_argument('--data', required=False,
                        default='../../datas/2006-volume-day-001.txt',
                        help='Data to be read in')

    parser.add_argument('--cash', required=False, action='store',
                        default=500e6, type=float,
                        help=('Starting cash'))

    parser.add_argument('--filler', required=False, action='store',
                        default=None, choices=FILLERS.keys(),
                        help=('Apply a volume filler for the execution'))

    parser.add_argument('--filler-args', required=False, action='store',
                        default=None,
                        help=('kwargs for the filler with format:\n'
                              '\n'
                              'arg1=val1,arg2=val2...'))

    parser.add_argument('--stakeperc', required=False, action='store',
                        type=float, default=10.0,
                        help=('Percentage of 1st bar to use for stake'))

    parser.add_argument('--opbreak', required=False, action='store',
                        type=int, default=10,
                        help=('Bars to wait for new op after completing '
                              'another'))

    parser.add_argument('--fromdate', '-f', required=False, default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', required=False, default=None,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--plot', required=False, action='store_true',
                        help=('Plot the result'))

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/vwr/vwr.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt

TFRAMES = dict(
    days=bt.TimeFrame.Days,
    weeks=bt.TimeFrame.Weeks,
    months=bt.TimeFrame.Months,
    years=bt.TimeFrame.Years)


def runstrat(pargs=None):
    args = parse_args(pargs)

    # Create a cerebro
    cerebro = bt.Cerebro()

    if args.cash is not None:
        cerebro.broker.set_cash(args.cash)

    dkwargs = dict()
    # Get the dates from the args
    if args.fromdate is not None:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
        dkwargs['fromdate'] = fromdate
    if args.todate is not None:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
        dkwargs['todate'] = todate

    # Create the 1st data
    data = bt.feeds.BacktraderCSVData(dataname=args.data, **dkwargs)
    cerebro.adddata(data)  # Add the data to cerebro

    cerebro.addstrategy(bt.strategies.SMA_CrossOver)  # Add the strategy

    lrkwargs = dict()
    if args.tframe is not None:
        lrkwargs['timeframe'] = TFRAMES[args.tframe]

    if args.tann is not None:
        lrkwargs['tann'] = args.tann

    cerebro.addanalyzer(bt.analyzers.Returns, **lrkwargs)  # Returns

    vwrkwargs = dict()
    if args.tframe is not None:
        vwrkwargs['timeframe'] = TFRAMES[args.tframe]

    if args.tann is not None:
        vwrkwargs['tann'] = args.tann

    if args.sigma_max is not None:
        vwrkwargs['sigma_max'] = args.sigma_max

    if args.tau is not None:
        vwrkwargs['tau'] = args.tau

    cerebro.addanalyzer(bt.analyzers.SQN)  # VWR Analyzer
    cerebro.addanalyzer(bt.analyzers.SharpeRatio_A)  # VWR Analyzer
    cerebro.addanalyzer(bt.analyzers.VWR, **vwrkwargs)  # VWR Analyzer
    # Sample time return analyzers
    cerebro.addanalyzer(bt.analyzers.TimeReturn,
                        timeframe=bt.TimeFrame.Months)
    cerebro.addanalyzer(bt.analyzers.TimeReturn,
                        timeframe=bt.TimeFrame.Years)

    # Add a writer to get output
    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=4)

    cerebro.run()  # And run it

    # Plot if requested
    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='VWR')

    parser.add_argument('--data', '-d',
                        default='../../datas/2005-2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--cash', default=None, type=float, required=False,
                        help='Starting Cash')

    parser.add_argument('--fromdate', '-f',
                        default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default=None,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--writercsv', '-wcsv', action='store_true',
                        help='Tell the writer to produce a csv stream')

    parser.add_argument('--tframe', '--timeframe', default=None,
                        required=False, choices=TFRAMES.keys(),
                        help='TimeFrame for the Returns/Sharpe calculations')

    parser.add_argument('--sigma-max', required=False, action='store',
                        type=float, default=None,
                        help='VWR Sigma Max')

    parser.add_argument('--tau', required=False, action='store',
                        type=float, default=None,
                        help='VWR tau factor')

    parser.add_argument('--tann', required=False, action='store',
                        type=float, default=None,
                        help=('Annualization factor'))

    parser.add_argument('--stddev-sample', required=False, action='store_true',
                        help='Consider Bessels correction for stddeviation')

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/weekdays-filler/weekdaysaligner.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
import backtrader.utils.flushfile

# from wkdaysfiller import WeekDaysFiller
from weekdaysfiller import WeekDaysFiller


class St(bt.Strategy):
    params = (('sma', 0),)

    def __init__(self):
        if self.p.sma:
            btind.SMA(self.data0, period=self.p.sma)
            btind.SMA(self.data1, period=self.p.sma)

    def next(self):
        dtequal = (self.data0.datetime.datetime() ==
                   self.data1.datetime.datetime())

        txt = ''
        txt += '%04d, %5s' % (len(self), str(dtequal))
        txt += ', data0, %s' % self.data0.datetime.datetime().isoformat()
        txt += ', %s, data1' % self.data1.datetime.datetime().isoformat()
        print(txt)


def runstrat():
    args = parse_args()

    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    cerebro = bt.Cerebro(stdstats=False)

    DataFeed = btfeeds.YahooFinanceCSVData
    if args.online:
        DataFeed = btfeeds.YahooFinanceData

    data0 = DataFeed(dataname=args.data0, fromdate=fromdate, todate=todate)

    if args.data1:
        data1 = DataFeed(dataname=args.data1, fromdate=fromdate, todate=todate)
    else:
        data1 = data0.clone()

    if args.filler or args.filler0:
        data0.addfilter(WeekDaysFiller, fillclose=args.fillclose)

    if args.filler or args.filler1:
        data1.addfilter(WeekDaysFiller, fillclose=args.fillclose)

    cerebro.adddata(data0)
    cerebro.adddata(data1)

    cerebro.addstrategy(St, sma=args.sma)
    cerebro.run(runonce=True, preload=True)

    if args.plot:
        cerebro.plot(style='bar')


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Sample for aligning with trade ')

    parser.add_argument('--online', required=False, action='store_true',
                        help='Fetch data online from Yahoo')

    parser.add_argument('--data0', required=True, help='Data 0 to be read in')
    parser.add_argument('--data1', required=False, help='Data 1 to be read in')

    parser.add_argument('--sma', required=False, default=0, type=int,
                        help='Add a sma to the datas')

    parser.add_argument('--fillclose', required=False, action='store_true',
                        help='Fill with Close price instead of NaN')

    parser.add_argument('--filler', required=False, action='store_true',
                        help='Add Filler to Datas 0 and 1')

    parser.add_argument('--filler0', required=False, action='store_true',
                        help='Add Filler to Data 0')

    parser.add_argument('--filler1', required=False, action='store_true',
                        help='Add Filler to Data 1')

    parser.add_argument('--fromdate', '-f', default='2012-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', default='2012-12-31',
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--plot', required=False, action='store_true',
                        help='Do plot')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: samples/weekdays-filler/weekdaysfiller.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime


class WeekDaysFiller(object):
    '''Bar Filler to add missing calendar days to trading days'''
    # kickstart value for date comparisons
    ONEDAY = datetime.timedelta(days=1)
    lastdt = datetime.date.max - ONEDAY

    def __init__(self, data, fillclose=False):
        self.fillclose = fillclose
        self.voidbar = [float('Nan')] * data.size()  # init a void bar

    def __call__(self, data):
        '''Empty bars (NaN) or with last close price are added for weekdays with no
        data

        Params:
          - data: the data source to filter/process

        Returns:
          - True (always): bars are removed (even if put back on the stack)

        '''
        dt = data.datetime.date()  # current date in int format
        lastdt = self.lastdt + self.ONEDAY  # move last seen data once forward

        while lastdt < dt:  # loop over gap bars
            if lastdt.isoweekday() < 6:  # Mon-Fri
                # Fill in date and add new bar to the stack
                if self.fillclose:
                    self.voidbar = [self.lastclose] * data.size()
                dtime = datetime.datetime.combine(lastdt, data.p.sessionend)
                self.voidbar[-1] = data.date2num(dtime)
                data._add2stack(self.voidbar[:])

            lastdt += self.ONEDAY  # move lastdt forward

        self.lastdt = dt  # keep a record of the last seen date

        self.lastclose = data.close[0]
        data._save2stack(erase=True)  # dt bar to the stack and out of stream
        return True  # bars are on the stack (new and original)


================================================
FILE: samples/writer-test/writer-test.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

# The above could be sent to an independent module
import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
from backtrader.analyzers import SQN


class LongShortStrategy(bt.Strategy):
    '''This strategy buys/sells upong the close price crossing
    upwards/downwards a Simple Moving Average.

    It can be a long-only strategy by setting the param "onlylong" to True
    '''
    params = dict(
        period=15,
        stake=1,
        printout=False,
        onlylong=False,
        csvcross=False,
    )

    def start(self):
        pass

    def stop(self):
        pass

    def log(self, txt, dt=None):
        if self.p.printout:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # To control operation entries
        self.orderid = None

        # Create SMA on 2nd data
        sma = btind.MovAv.SMA(self.data, period=self.p.period)
        # Create a CrossOver Signal from close an moving average
        self.signal = btind.CrossOver(self.data.close, sma)
        self.signal.csv = self.p.csvcross

    def next(self):
        if self.orderid:
            return  # if an order is active, no new orders are allowed

        if self.signal > 0.0:  # cross upwards
            if self.position:
                self.log('CLOSE SHORT , %.2f' % self.data.close[0])
                self.close()

            self.log('BUY CREATE , %.2f' % self.data.close[0])
            self.buy(size=self.p.stake)

        elif self.signal < 0.0:
            if self.position:
                self.log('CLOSE LONG , %.2f' % self.data.close[0])
                self.close()

            if not self.p.onlylong:
                self.log('SELL CREATE , %.2f' % self.data.close[0])
                self.sell(size=self.p.stake)

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if order.isbuy():
                buytxt = 'BUY COMPLETE, %.2f' % order.executed.price
                self.log(buytxt, order.executed.dt)
            else:
                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price
                self.log(selltxt, order.executed.dt)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            self.log('%s ,' % order.Status[order.status])
            pass  # Simply log

        # Allow new orders
        self.orderid = None

    def notify_trade(self, trade):
        if trade.isclosed:
            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f' %
                     (trade.pnl, trade.pnlcomm))

        elif trade.justopened:
            self.log('TRADE OPENED, SIZE %2d' % trade.size)


def runstrategy():
    args = parse_args()

    # Create a cerebro
    cerebro = bt.Cerebro()

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    # Create the 1st data
    data = btfeeds.BacktraderCSVData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the 1st data to cerebro
    cerebro.adddata(data)

    # Add the strategy
    cerebro.addstrategy(LongShortStrategy,
                        period=args.period,
                        onlylong=args.onlylong,
                        csvcross=args.csvcross,
                        stake=args.stake)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcash(args.cash)

    # Add the commission - only stocks like a for each operation
    cerebro.broker.setcommission(commission=args.comm,
                                 mult=args.mult,
                                 margin=args.margin)

    cerebro.addanalyzer(SQN)

    cerebro.addwriter(bt.WriterFile, csv=args.writercsv, rounding=2)

    # And run it
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(numfigs=args.numfigs, volume=False, zdown=False)


def parse_args():
    parser = argparse.ArgumentParser(description='MultiData Strategy')

    parser.add_argument('--data', '-d',
                        default='../../datas/2006-day-001.txt',
                        help='data to add to the system')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--onlylong', '-ol', action='store_true',
                        help='Do only long operations')

    parser.add_argument('--writercsv', '-wcsv', action='store_true',
                        help='Tell the writer to produce a csv stream')

    parser.add_argument('--csvcross', action='store_true',
                        help='Output the CrossOver signals to CSV')

    parser.add_argument('--cash', default=100000, type=int,
                        help='Starting Cash')

    parser.add_argument('--comm', default=2, type=float,
                        help='Commission for operation')

    parser.add_argument('--mult', default=10, type=int,
                        help='Multiplier for futures')

    parser.add_argument('--margin', default=2000.0, type=float,
                        help='Margin for each future')

    parser.add_argument('--stake', default=1, type=int,
                        help='Stake to apply in each operation')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrategy()


================================================
FILE: samples/yahoo-test/yahoo-test.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt
import backtrader.indicators as btind
import backtrader.feeds as btfeeds
import backtrader.filters as btfilters


def runstrat():
    args = parse_args()

    # Create a cerebro entity
    cerebro = bt.Cerebro(stdstats=False)

    # Add a strategy
    cerebro.addstrategy(bt.Strategy)

    # Get the dates from the args
    fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')

    data = btfeeds.YahooFinanceData(
        dataname=args.data,
        fromdate=fromdate,
        todate=todate)

    # Add the resample data instead of the original
    cerebro.adddata(data)

    # Add a simple moving average if requirested
    cerebro.addindicator(btind.SMA, period=args.period)

    # Add a writer with CSV
    if args.writer:
        cerebro.addwriter(bt.WriterFile, csv=args.wrcsv)

    # Run over everything
    cerebro.run()

    # Plot if requested
    if args.plot:
        cerebro.plot(style='bar', numfigs=args.numfigs, volume=False)


def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Calendar Days Filter Sample')

    parser.add_argument('--data', '-d',
                        default='YHOO',
                        help='Ticker to download from Yahoo')

    parser.add_argument('--fromdate', '-f',
                        default='2006-01-01',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t',
                        default='2006-12-31',
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--period', default=15, type=int,
                        help='Period to apply to the Simple Moving Average')

    parser.add_argument('--writer', '-w', action='store_true',
                        help='Add a writer to cerebro')

    parser.add_argument('--wrcsv', '-wc', action='store_true',
                        help='Enable CSV Output in the writer')

    parser.add_argument('--plot', '-p', action='store_true',
                        help='Plot the read data')

    parser.add_argument('--numfigs', '-n', default=1, type=int,
                        help='Plot using numfigs figures')

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: setup.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
import os.path
import codecs  # To use a consistent encoding
import setuptools

here = os.path.abspath(os.path.dirname(__file__))

# Get the long description from the relevant file
with codecs.open(os.path.join(here, 'README.rst'), encoding='utf-8') as f:
    long_description = f.read()

# Package name
pname = 'backtrader'

# Get the version ... execfile is only on Py2 ... use exec + compile + open
vname = 'version.py'
with open(os.path.join(pname, vname)) as f:
    exec(compile(f.read(), vname, 'exec'))

# Generate links
gurl = 'https://github.com/mementum/' + pname
gdurl = gurl + '/tarball/' + __version__

setuptools.setup(
    name=pname,

    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version=__version__,

    description='BackTesting Engine',
    long_description=long_description,

    # The project's main homepage.
    url=gurl,
    download_url=gdurl,

    # Author details
    author='Daniel Rodriguez',
    author_email='danjrod@gmail.com',

    # Choose your license
    license='GPLv3+',

    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 5 - Production/Stable',

        # Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Intended Audience :: Financial and Insurance Industry',

        # Indicate which Topics are covered by the package
        'Topic :: Software Development',
        'Topic :: Office/Business :: Financial',

        # Pick your license as you wish (should match "license" above)
        ('License :: OSI Approved :: ' +
         'GNU General Public License v3 or later (GPLv3+)'),

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.2',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',

        # Operating Systems on which it runs
        'Operating System :: OS Independent',
    ],

    # What does your project relate to?
    keywords=['trading', 'development'],

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=setuptools.find_packages(exclude=['docs', 'docs2', 'samples']),
    # packages=['backtrader', '],

    # List run-time dependencies here.
    # These will be installed by pip when your
    # project is installed. For an analysis of "install_requires" vs pip's
    # requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    # install_requires=['six'],

    # List additional groups of dependencies here
    # (e.g. development dependencies).
    # You can install these using the following syntax, for example:
    # $ pip install -e .[dev,test]
    extras_require={
        'plotting':  ['matplotlib'],
    },

    # If there are data files included in your packages that need to be
    # installed, specify them here.  If using Python 2.6 or less, then these
    # have to be included in MANIFEST.in as well.
    # package_data={'sample': ['package_data.dat'],},

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    # data_files=[('my_data', ['data/data_file'])],

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # pip to create the appropriate form of executable for the target platform.
    # entry_points={'console_scripts': ['sample=sample:main',],},
    entry_points={'console_scripts': ['btrun=backtrader.btrun:btrun']},

    scripts=['tools/bt-run.py'],
)


================================================
FILE: tests/test_analyzer-sqn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import time
try:
    time_clock = time.process_time
except:
    time_clock = time.clock


import testcommon

import backtrader as bt
import backtrader.indicators as btind


class TestStrategy(bt.Strategy):
    params = (
        ('period', 15),
        ('maxtrades', None),
        ('printdata', True),
        ('printops', True),
        ('stocklike', True),
    )

    def log(self, txt, dt=None, nodate=False):
        if not nodate:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))
        else:
            print('---------- %s' % (txt))

    def notify_trade(self, trade):
        if trade.isclosed:
            self.tradecount += 1

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if isinstance(order, bt.BuyOrder):
                if self.p.printops:
                    txt = 'BUY, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)
                chkprice = '%.2f' % order.executed.price
                self.buyexec.append(chkprice)
            else:  # elif isinstance(order, SellOrder):
                if self.p.printops:
                    txt = 'SELL, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)

                chkprice = '%.2f' % order.executed.price
                self.sellexec.append(chkprice)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            if self.p.printops:
                self.log('%s ,' % order.Status[order.status])

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # Flag to allow new orders in the system or not
        self.orderid = None

        self.sma = btind.SMA(self.data, period=self.p.period)
        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)

    def start(self):
        if not self.p.stocklike:
            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)

        if self.p.printdata:
            self.log('-------------------------', nodate=True)
            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),
                     nodate=True)

        self.tstart = time_clock()

        self.buycreate = list()
        self.sellcreate = list()
        self.buyexec = list()
        self.sellexec = list()
        self.tradecount = 0

    def stop(self):
        tused = time_clock() - self.tstart
        if self.p.printdata:
            self.log('Time used: %s' % str(tused))
            self.log('Final portfolio value: %.2f' % self.broker.getvalue())
            self.log('Final cash value: %.2f' % self.broker.getcash())
            self.log('-------------------------')
        else:
            pass

    def next(self):
        if self.p.printdata:
            self.log(
                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %
                (self.data.open[0], self.data.high[0],
                 self.data.low[0], self.data.close[0],
                 self.sma[0]))
            self.log('Close %.2f - Sma %.2f' %
                     (self.data.close[0], self.sma[0]))

        if self.orderid:
            # if an order is active, no new orders are allowed
            return

        if not self.position.size:
            if self.p.maxtrades is None or self.tradecount < self.p.maxtrades:
                if self.cross > 0.0:
                    if self.p.printops:
                        self.log('BUY CREATE , %.2f' % self.data.close[0])

                    self.orderid = self.buy()
                    chkprice = '%.2f' % self.data.close[0]
                    self.buycreate.append(chkprice)

        elif self.cross < 0.0:
            if self.p.printops:
                self.log('SELL CREATE , %.2f' % self.data.close[0])

            self.orderid = self.close()
            chkprice = '%.2f' % self.data.close[0]
            self.sellcreate.append(chkprice)


chkdatas = 1


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]

    for maxtrades in [None, 0, 1]:
        cerebros = testcommon.runtest(datas,
                                      TestStrategy,
                                      printdata=main,
                                      stocklike=False,
                                      maxtrades=maxtrades,
                                      printops=main,
                                      plot=main,
                                      analyzer=(bt.analyzers.SQN, {}))

        for cerebro in cerebros:
            strat = cerebro.runstrats[0][0]  # no optimization, only 1
            analyzer = strat.analyzers[0]  # only 1
            analysis = analyzer.get_analysis()
            if main:
                print(analysis)
                print(str(analysis.sqn))
            else:
                if maxtrades == 0 or maxtrades == 1:
                    assert analysis.sqn == 0
                    assert analysis.trades == maxtrades
                else:
                    # Handle different precision
                    assert str(analysis.sqn)[0:14] == '0.912550316439'
                    assert str(analysis.trades) == '11'


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_analyzer-timereturn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import time
try:
    time_clock = time.process_time
except:
    time_clock = time.clock

import testcommon

import backtrader as bt
import backtrader.indicators as btind
from backtrader.utils.py3 import PY2


class TestStrategy(bt.Strategy):
    params = (
        ('period', 15),
        ('printdata', True),
        ('printops', True),
        ('stocklike', True),
    )

    def log(self, txt, dt=None, nodate=False):
        if not nodate:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))
        else:
            print('---------- %s' % (txt))

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if isinstance(order, bt.BuyOrder):
                if self.p.printops:
                    txt = 'BUY, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)
                chkprice = '%.2f' % order.executed.price
                self.buyexec.append(chkprice)
            else:  # elif isinstance(order, SellOrder):
                if self.p.printops:
                    txt = 'SELL, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)

                chkprice = '%.2f' % order.executed.price
                self.sellexec.append(chkprice)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            if self.p.printops:
                self.log('%s ,' % order.Status[order.status])

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # Flag to allow new orders in the system or not
        self.orderid = None

        self.sma = btind.SMA(self.data, period=self.p.period)
        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)

    def start(self):
        if not self.p.stocklike:
            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)

        if self.p.printdata:
            self.log('-------------------------', nodate=True)
            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),
                     nodate=True)

        self.tstart = time_clock()

        self.buycreate = list()
        self.sellcreate = list()
        self.buyexec = list()
        self.sellexec = list()

    def stop(self):
        tused = time_clock() - self.tstart
        if self.p.printdata:
            self.log('Time used: %s' % str(tused))
            self.log('Final portfolio value: %.2f' % self.broker.getvalue())
            self.log('Final cash value: %.2f' % self.broker.getcash())
            self.log('-------------------------')
        else:
            pass

    def next(self):
        if self.p.printdata:
            self.log(
                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %
                (self.data.open[0], self.data.high[0],
                 self.data.low[0], self.data.close[0],
                 self.sma[0]))
            self.log('Close %.2f - Sma %.2f' %
                     (self.data.close[0], self.sma[0]))

        if self.orderid:
            # if an order is active, no new orders are allowed
            return

        if not self.position.size:
            if self.cross > 0.0:
                if self.p.printops:
                    self.log('BUY CREATE , %.2f' % self.data.close[0])

                self.orderid = self.buy()
                chkprice = '%.2f' % self.data.close[0]
                self.buycreate.append(chkprice)

        elif self.cross < 0.0:
            if self.p.printops:
                self.log('SELL CREATE , %.2f' % self.data.close[0])

            self.orderid = self.close()
            chkprice = '%.2f' % self.data.close[0]
            self.sellcreate.append(chkprice)


chkdatas = 1


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    cerebros = testcommon.runtest(datas,
                                  TestStrategy,
                                  printdata=main,
                                  stocklike=False,
                                  printops=main,
                                  plot=main,
                                  analyzer=(bt.analyzers.TimeReturn,
                                            dict(timeframe=bt.TimeFrame.Years))
                                  )

    for cerebro in cerebros:
        strat = cerebro.runstrats[0][0]  # no optimization, only 1
        analyzer = strat.analyzers[0]  # only 1
        analysis = analyzer.get_analysis()
        if main:
            print(analysis)
            print(str(analysis[next(iter(analysis.keys()))]))
        else:
            # Handle different precision
            if PY2:
                sval = '0.2795'
            else:
                sval = '0.2794999999999983'

            assert str(analysis[next(iter(analysis.keys()))]) == sval


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_comminfo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
from backtrader import CommissionInfo, Position


def check_stocks():
    commission = 0.5
    comm = bt.CommissionInfo(commission=commission)

    price = 10.0
    cash = 10000.0
    size = 100.0

    opcost = comm.getoperationcost(size=size, price=price)
    assert opcost == size * price

    pos = Position(size=size, price=price)
    value = comm.getvalue(pos, price)
    assert value == size * price

    commcost = comm.getcommission(size, price)
    assert commcost == size * price * commission

    newprice = 5.0
    pnl = comm.profitandloss(pos.size, pos.price, newprice)
    assert pnl == pos.size * (newprice - price)

    ca = comm.cashadjust(size, price, newprice)
    assert not ca


def check_futures():
    commission = 0.5
    margin = 10.0
    mult = 10.0
    comm = bt.CommissionInfo(commission=commission, mult=mult, margin=margin)

    price = 10.0
    cash = 10000.0
    size = 100.0

    opcost = comm.getoperationcost(size=size, price=price)
    assert opcost == size * margin

    pos = Position(size=size, price=price)
    value = comm.getvalue(pos, price)
    assert value == size * margin

    commcost = comm.getcommission(size, price)
    assert commcost == size * commission

    newprice = 5.0
    pnl = comm.profitandloss(pos.size, pos.price, newprice)
    assert pnl == pos.size * (newprice - price) * mult

    ca = comm.cashadjust(size, price, newprice)
    assert ca == size * (newprice - price) * mult


def test_run(main=False):
    check_stocks()
    check_futures()


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_data_multiframe.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 2
chkvals = []

chkmin = 151  # because of the weekly data
chkind = [btind.SMA]
chkargs = dict()


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_data_replay.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chknext = 113
chkvals = [
    ['3836.453333', '3703.962333', '3741.802000']
]

chkmin = 30  # period will be in weeks
chkind = [btind.SMA]
chkargs = dict()


def test_run(main=False, exbar=False):
    data = testcommon.getdata(0)
    data.replay(timeframe=bt.TimeFrame.Weeks, compression=1)
    datas = [data]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chknext=chknext,
                       chkargs=chkargs,
                       runonce=False,
                       preload=False,
                       exbar=exbar)


if __name__ == '__main__':
    for exbar in [False, -1, -2]:
        test_run(main=True, exbar=exbar)


================================================
FILE: tests/test_data_resample.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['3836.453333', '3703.962333', '3741.802000']
]

chkmin = 30  # period will be in weeks
chkind = [btind.SMA]
chkargs = dict()


def test_run(main=False):
    for runonce in [True, False]:
        data = testcommon.getdata(0)
        data.resample(timeframe=bt.TimeFrame.Weeks, compression=1)

        datas = [data]
        testcommon.runtest(datas,
                           testcommon.TestStrategy,
                           main=main,
                           runonce=runonce,
                           plot=main,
                           chkind=chkind,
                           chkmin=chkmin,
                           chkvals=chkvals,
                           chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_accdecosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt

chkdatas = 1
chkvals = [
    ['-2.097441', '14.156647', '30.408335']
]

chkmin = 38
chkind = bt.ind.AccelerationDecelerationOscillator


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_aroonoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['35.714286', '-50.000000', '57.142857']
]

chkmin = 15
chkind = btind.AroonOscillator


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_aroonupdown.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['42.857143', '35.714286', '85.714286'],
    ['7.142857', '85.714286', '28.571429']
]

chkmin = 15
chkind = btind.AroonUpDown


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_atr.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['35.866308', '34.264286', '54.329064'],
]

chkmin = 15
chkind = btind.ATR


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_awesomeoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt

chkdatas = 1
chkvals = [
    ['50.804206', '72.983735', '33.655941']
]

chkmin = 34
chkind = bt.ind.AO


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_bbands.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4065.884000', '3621.185000', '3582.895500'],
    ['4190.782310', '3712.008864', '3709.453081'],
    ['3940.985690', '3530.361136', '3456.337919'],
]

chkmin = 20
chkind = btind.BBands


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_cci.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['69.574287', '91.196363', '82.175663'],
]

chkmin = 39
chkind = btind.CCI


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_dema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4115.563246', '3852.837209', '3665.728415']
]

chkmin = 59
chkind = btind.DEMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_demaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4115.563246', '3852.837209', '3665.728415'],
    ['4218.452327', '3949.158140', '3757.371626'],
    ['4012.674165', '3756.516279', '3574.085205']
]

chkmin = 59
chkind = btind.DEMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_demaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4.376754', '7.292791', '9.371585']
]

chkmin = 59
chkind = btind.DEMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_dm.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['15.302485', '31.674648', '15.961767'],
    ['18.839142', '26.946536', '18.161738'],
    ['28.809535', '30.460124', '31.386311'],
    ['24.638772', '18.914537', '21.564611'],
]

chkmin = 42
chkind = btind.DM


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_dma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4121.903804', '3677.634675', '3579.962958']
]


chkmin = 30
chkind = btind.DMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_downmove.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['10.720000', '-10.010000', '-14.000000'],
]

chkmin = 2
chkind = btind.DownMove


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_dpo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['83.271000', '105.625000', '1.187000'],
]

chkmin = 29
chkind = btind.DPO


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_dv2.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['17.460317', '55.952381', '80.555556'],
]

chkmin = 253
chkind = btind.DV2


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_ema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4070.115719', '3644.444667', '3581.728712'],
]

chkmin = 30
chkind = btind.EMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_emaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4070.115719', '3644.444667', '3581.728712'],
    ['4171.868612', '3735.555783', '3671.271930'],
    ['3968.362826', '3553.333550', '3492.185494'],
]

chkmin = 30
chkind = btind.EMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_emaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['49.824281', '51.185333', '-24.648712']
]

chkmin = 30
chkind = btind.EMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_envelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4063.463000', '3644.444667', '3554.693333'],
    ['4165.049575', '3735.555783', '3643.560667'],
    ['3961.876425', '3553.333550', '3465.826000']
]

chkmin = 30
chkind = btind.Envelope


class TS2(testcommon.TestStrategy):
    def __init__(self):
        ind = btind.MovAv.SMA(self.data)
        self.p.inddata = [ind]
        super(TS2, self).__init__()


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       TS2,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_heikinashi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt

chkdatas = 1
chkvals = [
    ['4119.466107', '3591.732500', '3578.625259'],
    ['4142.010000', '3638.420000', '3662.920000'],
    ['4119.466107', '3591.732500', '3578.625259'],
    ['4128.002500', '3614.670000', '3653.455000']
]

chkmin = 2
chkind = bt.ind.HeikinAshi


def test_run(main=False):
    if False:
        datas = [testcommon.getdata(i) for i in range(chkdatas)]
        testcommon.runtest(datas,
                           testcommon.TestStrategy,
                           main=main,
                           plot=main,
                           chkind=chkind,
                           chkmin=chkmin,
                           chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_highest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4140.660000', '3671.780000', '3670.750000'],
]

chkmin = 14
chkind = btind.Highest
chkargs = dict(period=14)


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_hma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4135.661250', '3736.429214', '3578.389024'],
]


chkmin = 34
chkind = btind.HMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_ichimoku.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4110.000000', '3821.030000', '3748.785000'],
    ['4030.920000', '3821.030000', '3676.860000'],
    ['4057.485000', '3753.502500', '3546.152500'],
    ['3913.300000', '3677.815000', '3637.130000'],
    [('nan', '3682.320000'), '3590.910000', '3899.410000']
]

chkmin = 78
chkind = bt.ind.Ichimoku


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_kama.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4054.187922', '3648.549000', '3592.979190'],
]

chkmin = 31
chkind = btind.KAMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_kamaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4063.463000', '3644.444667', '3554.693333'],
    ['4165.049575', '3735.555783', '3643.560667'],
    ['3961.876425', '3553.333550', '3465.826000'],
]

chkmin = 30
chkind = btind.SMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_kamaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['65.752078', '78.911000', '39.950810']
]

chkmin = 31
chkind = btind.KAMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_kst.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['18.966300', '33.688645', '27.643797'],
    ['11.123593', '37.882890', '16.602624']
]

chkmin = 48
chkind = bt.ind.KST


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_lowest.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4019.890000', '3570.170000', '3506.070000'],
]

chkmin = 14
chkind = btind.Lowest
chkargs = dict(period=14)


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_lrsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.748915', '0.714286', '1.000000'],
]

chkmin = 6
chkind = btind.LRSI


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_macdhisto.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['25.821368', '32.469404', '1.772445'],
    ['21.977853', '26.469735', '-2.845646'],
    ['3.843516', '5.999669', '4.618090'],
]

chkmin = 34
chkind = btind.MACDHisto


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_minperiod.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = []

chkmin = 34  # from MACD
chkind = [btind.SMA, btind.Stochastic, btind.MACD, btind.Highest]
chkargs = dict()


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_momentum.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['67.050000', '-34.160000', '67.630000'],
]

chkmin = 13
chkind = btind.Momentum


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_momentumoscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['101.654375', '99.052251', '101.904990'],
]

chkmin = 13
chkind = btind.MomentumOscillator


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_oscillator.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['56.477000', '51.185333', '2.386667']
]

chkmin = 30
chkind = btind.Oscillator


class TS2(testcommon.TestStrategy):
    def __init__(self):
        ind = btind.MovAv.SMA(self.data)
        self.p.inddata = [ind]
        super(TS2, self).__init__()


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       TS2,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_pctchange.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.002704', '0.034162', '0.043717']
]

chkmin = 31
chkind = btind.PctChange


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_pctrank.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.900000', '0.880000', '0.980000'],
]

chkmin = 50
chkind = btind.PercentRank


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_pgo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.543029', '-2.347884', '0.416325']
]

chkmin = 15
chkind = btind.PGO


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_ppo.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.633439', '0.883552', '0.049430'],
    ['0.540516', '0.724136', '-0.079820'],
    ['0.092923', '0.159416', '0.129250']
]

chkmin = 34
chkind = btind.PPO


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_pposhort.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.629452', '0.875813', '0.049405'],
    ['0.537193', '0.718852', '-0.080645'],
    ['0.092259', '0.156962', '0.130050']
]

chkmin = 34
chkind = btind.PPOShort


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_priceosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['25.821368', '23.202675', '-9.927422']
]

chkmin = 26
chkind = btind.PriceOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_rmi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt

chkdatas = 1
chkvals = [
    ['67.786097', '59.856230', '38.287526']
]

chkmin = 25
chkind = bt.ind.RMI


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_roc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.016544', '-0.009477', '0.019050'],
]

chkmin = 13
chkind = btind.ROC


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_rsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['57.644284', '41.630968', '53.352553'],
]

chkmin = 15
chkind = btind.RSI


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_rsi_safe.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['57.644284', '41.630968', '53.352553'],
]

chkmin = 15
chkind = btind.RSI_Safe


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_sma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4063.463000', '3644.444667', '3554.693333'],
]

chkmin = 30
chkind = btind.SMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_smaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4063.463000', '3644.444667', '3554.693333'],
    ['4165.049575', '3735.555783', '3643.560667'],
    ['3961.876425', '3553.333550', '3465.826000'],
]

chkmin = 30
chkind = btind.SMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_smaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['56.477000', '51.185333', '2.386667']
]

chkmin = 30
chkind = btind.SMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_smma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4021.569725', '3644.444667', '3616.427648'],
]

chkmin = 30
chkind = btind.SMMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_smmaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4021.569725', '3644.444667', '3616.427648'],
    ['4122.108968', '3735.555783', '3706.838340'],
    ['3921.030482', '3553.333550', '3526.016957'],
]

chkmin = 30
chkind = btind.SMMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_smmaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['98.370275', '51.185333', '-59.347648']
]

chkmin = 30
chkind = btind.SMMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_stochastic.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['88.667626', '21.409626', '63.796187'],
    ['82.845850', '15.710059', '77.642219'],
]

chkmin = 18
chkind = btind.Stochastic


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_stochasticfull.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['83.541267', '36.818395', '41.769503'],
    ['88.667626', '21.409626', '63.796187'],
    ['82.845850', '15.710059', '77.642219'],
]

chkmin = 18
chkind = btind.StochasticFull


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_sumn.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['57406.490000', '50891.010000', '50424.690000'],
]

chkmin = 14
chkind = btind.SumN
chkargs = dict(period=14)


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals,
                       chkargs=chkargs)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_tema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4113.721705', '3862.386854', '3832.691054']
]

chkmin = 88
chkind = btind.TEMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_temaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4113.721705', '3862.386854', '3832.691054'],
    ['4216.564748', '3958.946525', '3928.508331'],
    ['4010.878663', '3765.827182', '3736.873778']
]

chkmin = 88
chkind = btind.TEMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_temaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['6.218295', '15.143146', '-23.991054']
]

chkmin = 88
chkind = btind.TEMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_trix.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['0.071304', '0.181480', '0.050954']
]

chkmin = 44
chkind = btind.Trix


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_tsi.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['16.012364', '22.866307', '4.990750']
]

chkmin = 38
chkind = bt.ind.TSI


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_ultosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt

chkdatas = 1
chkvals = [
    ['51.991177', '62.334055', '46.707445']
]

chkmin = 29  # 28 from longest SumN/Sum + 1 extra from truelow/truerange
chkind = bt.indicators.UltimateOscillator


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_upmove.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['-10.720000', '10.010000', '14.000000'],
]

chkmin = 2
chkind = btind.UpMove


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_vortex.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['1.245434', '0.921076', '1.062278'],
    ['0.707948', '0.966375', '0.803849']
]

chkmin = 15
chkind = btind.Vortex


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_williamsad.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['755.050000', '12.500000', '242.980000']
]

chkmin = 2
chkind = btind.WilliamsAD


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_williamsr.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['-16.458733', '-68.298609', '-28.602854'],
]

chkmin = 14
chkind = btind.WilliamsR


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_wma.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4076.212366', '3655.193634', '3576.228000'],
]

chkmin = 30
chkind = btind.WMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_wmaenvelope.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4076.212366', '3655.193634', '3576.228000'],
    ['4178.117675', '3746.573475', '3665.633700'],
    ['3974.307056', '3563.813794', '3486.822300'],
]

chkmin = 30
chkind = btind.WMAEnvelope


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_wmaosc.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['43.727634', '40.436366', '-19.148000']
]

chkmin = 30
chkind = btind.WMAOsc


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_zlema.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4125.487746', '3778.694000', '3620.284712']
]

chkmin = 44
chkind = btind.ZLEMA


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_ind_zlind.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
import backtrader.indicators as btind

chkdatas = 1
chkvals = [
    ['4110.282052', '3644.444667', '3564.906194']
]

chkmin = 30
chkind = btind.ZeroLagIndicator


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_metaclass.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
import testcommon

class TestFrompackages(testcommon.SampleParamsHolder):
    """
    This class is used for testing that inheriting from base class that
    uses `frompackages` import mechanism, doesnt brake the functionality
    of the base class.
    """
    def __init__(self):
        super(TestFrompackages, self).__init__()
        # Prepare the lags array

def test_run(main=False):
    """
    Instantiate the TestFrompackages and see that no exception is raised
    Bug Discussion:
    https://community.backtrader.com/topic/2661/frompackages-directive-functionality-seems-to-be-broken-when-using-inheritance
    """
    test = TestFrompackages()

if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_order.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader as bt
from backtrader import Order, Position


class FakeCommInfo(object):
    def getvaluesize(self, size, price):
        return 0

    def profitandloss(self, size, price, newprice):
        return 0

    def getoperationcost(self, size, price):
        return 0.0

    def getcommission(self, size, price):
        return 0.0


class FakeData(object):
    '''
    Minimal interface to avoid errors when trade tries to get information from
    the data during the test
    '''
    def __len__(self):
        return 0

    @property
    def datetime(self):
        return [0.0]

    @property
    def close(self):
        return [0.0]


def _execute(position, order, size, price, partial):
    # Find position and do a real update - accounting happens here
    pprice_orig = position.price
    psize, pprice, opened, closed = position.update(size, price)

    comminfo = order.comminfo
    closedvalue = comminfo.getoperationcost(closed, pprice_orig)
    closedcomm = comminfo.getcommission(closed, price)

    openedvalue = comminfo.getoperationcost(opened, price)
    openedcomm = comminfo.getcommission(opened, price)

    pnl = comminfo.profitandloss(-closed, pprice_orig, price)
    margin = comminfo.getvaluesize(size, price)

    order.execute(order.data.datetime[0],
                  size, price,
                  closed, closedvalue, closedcomm,
                  opened, openedvalue, openedcomm,
                  margin, pnl,
                  psize, pprice)  # pnl

    if partial:
        order.partial()
    else:
        order.completed()


def test_run(main=False):
    position = Position()
    comminfo = FakeCommInfo()
    order = bt.BuyOrder(data=FakeData(),
                        size=100, price=1.0,
                        exectype=bt.Order.Market,
                        simulated=True)
    order.addcomminfo(comminfo)

    ### Test that partially updating order will maintain correct iterpending sequence
    ### (Orders are cloned for each notification. The pending bits should be reported
    ###  related to the previous notification (clone))

    # Add two bits and validate we have two pending bits
    _execute(position, order, 10, 1.0, True)
    _execute(position, order, 20, 1.1, True)

    clone = order.clone()
    pending = clone.executed.getpending()
    assert len(pending) == 2
    assert pending[0].size == 10
    assert pending[0].price == 1.0
    assert pending[1].size == 20
    assert pending[1].price == 1.1

    # Add additional two bits and validate we still have two pending bits after clone
    _execute(position, order, 30, 1.2, True)
    _execute(position, order, 40, 1.3, False)

    clone = order.clone()
    pending = clone.executed.getpending()
    assert len(pending) == 2
    assert pending[0].size == 30
    assert pending[0].price == 1.2
    assert pending[1].size == 40
    assert pending[1].price == 1.3

if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_position.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
from backtrader import position


def test_run(main=False):
    size = 10
    price = 10.0

    pos = position.Position(size=size, price=price)
    assert pos.size == size
    assert pos.price == price

    upsize = 5
    upprice = 12.5
    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)

    if main:
        print('pos.size/price', pos.size, pos.price)
        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)

    assert pos.size == size + upsize
    assert pos.size == nsize
    assert pos.price == ((size * price) + (upsize * upprice)) / pos.size
    assert pos.price == nprice
    assert opened == upsize
    assert not closed

    size = pos.size
    price = pos.price
    upsize = -7
    upprice = 14.5

    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)

    if main:
        print('pos.size/price', pos.size, pos.price)
        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)

    assert pos.size == size + upsize

    assert pos.size == nsize
    assert pos.price == price
    assert pos.price == nprice
    assert not opened
    assert closed == upsize  # the closed must have the sign of "update" size

    size = pos.size
    price = pos.price
    upsize = -15
    upprice = 17.5

    nsize, nprice, opened, closed = pos.update(size=upsize, price=upprice)

    if main:
        print('pos.size/price', pos.size, pos.price)
        print('nsize, nprice, opened, closed', nsize, nprice, opened, closed)

    assert pos.size == size + upsize
    assert pos.size == nsize
    assert pos.price == upprice
    assert pos.price == nprice
    assert opened == size + upsize
    assert closed == -size


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_strategy_optimized.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import itertools
import time
try:
    time_clock = time.process_time
except:
    time_clock = time.clock

import testcommon

from backtrader.utils.py3 import range
import backtrader as bt
import backtrader.indicators as btind

CHKVALUES = [
    '14525.80', '14525.80', '15408.20', '15408.20', '14763.90',
    '14763.90', '14763.90', '14763.90', '14763.90', '14763.90',
    '14763.90', '14763.90', '14763.90', '14763.90', '13187.10',
    '13187.10', '13187.10', '13684.40', '13684.40', '13684.40',
    '13684.40', '13684.40', '13684.40', '13656.10', '13656.10',
    '13656.10', '13656.10', '12988.10', '12988.10', '12988.10',
    '12988.10', '12988.10', '12988.10', '12988.10', '12988.10',
    '12988.10', '12988.10', '12988.10', '12988.10', '12988.10'
]

CHKCASH = [
    '13525.80', '13525.80', '14408.20', '14408.20', '13763.90',
    '13763.90', '13763.90', '13763.90', '13763.90', '13763.90',
    '13763.90', '13763.90', '13763.90', '13763.90', '12187.10',
    '12187.10', '12187.10', '12684.40', '12684.40', '12684.40',
    '12684.40', '12684.40', '12684.40', '12656.10', '12656.10',
    '12656.10', '12656.10', '11988.10', '11988.10', '11988.10',
    '11988.10', '11988.10', '11988.10', '11988.10', '11988.10',
    '11988.10', '11988.10', '11988.10', '11988.10', '11988.10'
]

_chkvalues = []
_chkcash = []


class TestStrategy(bt.Strategy):
    params = (
        ('period', 15),
        ('printdata', True),
        ('printops', True),
    )

    def log(self, txt, dt=None):
        dt = dt or self.data.datetime[0]
        dt = bt.num2date(dt)
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # Flag to allow new orders in the system or not
        self.orderid = None

        self.sma = btind.SMA(self.data, period=self.p.period)
        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)

    def start(self):
        self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)
        self.tstart = time_clock()
        self.buy_create_idx = itertools.count()

    def stop(self):
        global _chkvalues
        global _chkcash

        tused = time_clock() - self.tstart
        if self.p.printdata:
            self.log(('Time used: %s  - Period % d - '
                      'Start value: %.2f - End value: %.2f') %
                     (str(tused), self.p.period,
                      self.broker.startingcash, self.broker.getvalue()))

        value = '%.2f' % self.broker.getvalue()
        _chkvalues.append(value)

        cash = '%.2f' % self.broker.getcash()
        _chkcash.append(cash)

    def next(self):
        # print('self.data.close.array:', self.data.close.array)
        if self.orderid:
            # if an order is active, no new orders are allowed
            return

        if not self.position.size:
            if self.cross > 0.0:
                self.orderid = self.buy()

        elif self.cross < 0.0:
            self.orderid = self.close()


chkdatas = 1


def test_run(main=False):
    global _chkvalues
    global _chkcash

    for runonce in [True, False]:
        for preload in [True, False]:
            for exbar in [True, False, -1, -2]:
                _chkvalues = list()
                _chkcash = list()

                datas = [testcommon.getdata(i) for i in range(chkdatas)]
                testcommon.runtest(datas,
                                   TestStrategy,
                                   runonce=runonce,
                                   preload=preload,
                                   exbar=exbar,
                                   optimize=True,
                                   period=range(5, 45),
                                   printdata=main,
                                   printops=main,
                                   plot=False)

                if not main:
                    assert CHKVALUES == _chkvalues
                    assert CHKCASH == _chkcash

                else:
                    print('*' * 50)
                    print(CHKVALUES == _chkvalues)
                    print('-' * 50)
                    print(CHKVALUES)
                    print('-' * 50)
                    print(_chkvalues)
                    print('*' * 50)
                    print(CHKCASH == _chkcash)
                    print('-' * 50)
                    print(CHKCASH)
                    print('-' * 50)
                    print(_chkcash)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_strategy_unoptimized.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import time
try:
    time_clock = time.process_time
except:
    time_clock = time.clock

import testcommon

import backtrader as bt
import backtrader.indicators as btind

BUYCREATE = [
    '3641.42', '3798.46', '3874.61', '3860.00', '3843.08', '3648.33',
    '3526.84', '3632.93', '3788.96', '3841.31', '4045.22', '4052.89',
]

SELLCREATE = [
    '3763.73', '3811.45', '3823.11', '3821.97', '3837.86', '3604.33',
    '3562.56', '3772.21', '3780.18', '3974.62', '4048.16'
]

BUYEXEC = [
    '3643.35', '3801.03', '3872.37', '3863.57', '3845.32', '3656.43',
    '3542.65', '3639.65', '3799.86', '3840.20', '4047.63', '4052.55'
]

SELLEXEC = [
    '3763.95', '3811.85', '3822.35', '3822.57', '3829.82', '3598.58',
    '3545.92', '3766.80', '3782.15', '3979.73', '4045.05'
]


class TestStrategy(bt.Strategy):
    params = (
        ('period', 15),
        ('printdata', True),
        ('printops', True),
        ('stocklike', True),
    )

    def log(self, txt, dt=None, nodate=False):
        if not nodate:
            dt = dt or self.data.datetime[0]
            dt = bt.num2date(dt)
            print('%s, %s' % (dt.isoformat(), txt))
        else:
            print('---------- %s' % (txt))

    def notify_order(self, order):
        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:
            return  # Await further notifications

        if order.status == order.Completed:
            if isinstance(order, bt.BuyOrder):
                if self.p.printops:
                    txt = 'BUY, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)
                chkprice = '%.2f' % order.executed.price
                self.buyexec.append(chkprice)
            else:  # elif isinstance(order, SellOrder):
                if self.p.printops:
                    txt = 'SELL, %.2f' % order.executed.price
                    self.log(txt, order.executed.dt)

                chkprice = '%.2f' % order.executed.price
                self.sellexec.append(chkprice)

        elif order.status in [order.Expired, order.Canceled, order.Margin]:
            if self.p.printops:
                self.log('%s ,' % order.Status[order.status])

        # Allow new orders
        self.orderid = None

    def __init__(self):
        # Flag to allow new orders in the system or not
        self.orderid = None

        self.sma = btind.SMA(self.data, period=self.p.period)
        self.cross = btind.CrossOver(self.data.close, self.sma, plot=True)

    def start(self):
        if not self.p.stocklike:
            self.broker.setcommission(commission=2.0, mult=10.0, margin=1000.0)

        if self.p.printdata:
            self.log('-------------------------', nodate=True)
            self.log('Starting portfolio value: %.2f' % self.broker.getvalue(),
                     nodate=True)

        self.tstart = time_clock()

        self.buycreate = list()
        self.sellcreate = list()
        self.buyexec = list()
        self.sellexec = list()

    def stop(self):
        tused = time_clock() - self.tstart
        if self.p.printdata:
            self.log('Time used: %s' % str(tused))
            self.log('Final portfolio value: %.2f' % self.broker.getvalue())
            self.log('Final cash value: %.2f' % self.broker.getcash())
            self.log('-------------------------')

            print('buycreate')
            print(self.buycreate)
            print('sellcreate')
            print(self.sellcreate)
            print('buyexec')
            print(self.buyexec)
            print('sellexec')
            print(self.sellexec)

        else:
            if not self.p.stocklike:
                assert '%.2f' % self.broker.getvalue() == '12795.00'
                assert '%.2f' % self.broker.getcash() == '11795.00'
            else:
                assert '%.2f' % self.broker.getvalue() == '10284.10'
                assert '%.2f' % self.broker.getcash() == '6164.16'

            assert self.buycreate == BUYCREATE
            assert self.sellcreate == SELLCREATE
            assert self.buyexec == BUYEXEC
            assert self.sellexec == SELLEXEC

    def next(self):
        if self.p.printdata:
            self.log(
                'Open, High, Low, Close, %.2f, %.2f, %.2f, %.2f, Sma, %f' %
                (self.data.open[0], self.data.high[0],
                 self.data.low[0], self.data.close[0],
                 self.sma[0]))
            self.log('Close %.2f - Sma %.2f' %
                     (self.data.close[0], self.sma[0]))

        if self.orderid:
            # if an order is active, no new orders are allowed
            return

        if not self.position.size:
            if self.cross > 0.0:
                if self.p.printops:
                    self.log('BUY CREATE , %.2f' % self.data.close[0])

                self.orderid = self.buy()
                chkprice = '%.2f' % self.data.close[0]
                self.buycreate.append(chkprice)

        elif self.cross < 0.0:
            if self.p.printops:
                self.log('SELL CREATE , %.2f' % self.data.close[0])

            self.orderid = self.close()
            chkprice = '%.2f' % self.data.close[0]
            self.sellcreate.append(chkprice)


chkdatas = 1


def test_run(main=False):
    for stlike in [False, True]:
        datas = [testcommon.getdata(i) for i in range(chkdatas)]
        testcommon.runtest(datas,
                           TestStrategy,
                           printdata=main,
                           printops=main,
                           stocklike=stlike,
                           plot=main)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_study_fractal.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt


chkdatas = 1
chkvals = [
    ['nan', 'nan', 'nan'],
    ['nan', 'nan', '3553.692850']
]

chkmin = 5
chkind = bt.studies.Fractal


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    testcommon.runtest(datas,
                       testcommon.TestStrategy,
                       main=main,
                       plot=main,
                       chkind=chkind,
                       chkmin=chkmin,
                       chkvals=chkvals)


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_trade.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import testcommon

import backtrader as bt
from backtrader import trade


class FakeCommInfo(object):
    def getvaluesize(self, size, price):
        return 0

    def profitandloss(self, size, price, newprice):
        return 0


class FakeData(object):
    '''
    Minimal interface to avoid errors when trade tries to get information from
    the data during the test
    '''
    def __len__(self):
        return 0

    @property
    def datetime(self):
        return [0.0]

    @property
    def close(self):
        return [0.0]


def test_run(main=False):
    tr = trade.Trade(data=FakeData())

    order = bt.BuyOrder(data=FakeData(),
                        size=0, price=1.0,
                        exectype=bt.Order.Market,
                        simulated=True)

    commrate = 0.025
    size = 10
    price = 10.0
    value = size * price
    commission = value * commrate

    tr.update(order=order, size=size, price=price, value=value,
              commission=commission, pnl=0.0, comminfo=FakeCommInfo())

    assert not tr.isclosed
    assert tr.size == size
    assert tr.price == price
    # assert tr.value == value
    assert tr.commission == commission
    assert not tr.pnl
    assert tr.pnlcomm == tr.pnl - tr.commission

    upsize = -5
    upprice = 12.5
    upvalue = upsize * upprice
    upcomm = abs(value) * commrate

    tr.update(order=order, size=upsize, price=upprice, value=upvalue,
              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())

    assert not tr.isclosed
    assert tr.size == size + upsize
    assert tr.price == price  # size is being reduced, price must not change
    # assert tr.value == upvalue
    assert tr.commission == commission + upcomm

    size = tr.size
    price = tr.price
    commission = tr.commission

    upsize = 7
    upprice = 14.5
    upvalue = upsize * upprice
    upcomm = abs(value) * commrate

    tr.update(order=order, size=upsize, price=upprice, value=upvalue,
              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())

    assert not tr.isclosed
    assert tr.size == size + upsize
    assert tr.price == ((size * price) + (upsize * upprice)) / (size + upsize)
    # assert tr.value == upvalue
    assert tr.commission == commission + upcomm

    size = tr.size
    price = tr.price
    commission = tr.commission

    upsize = -size
    upprice = 12.5
    upvalue = upsize * upprice
    upcomm = abs(value) * commrate

    tr.update(order=order, size=upsize, price=upprice, value=upvalue,
              commission=upcomm, pnl=0.0, comminfo=FakeCommInfo())

    assert tr.isclosed
    assert tr.size == size + upsize
    assert tr.price == price  # no change ... we simple closed the operation
    # assert tr.value == upvalue
    assert tr.commission == commission + upcomm


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/test_writer.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import time

import testcommon

import backtrader as bt
import backtrader.indicators as btind


chkdatas = 1


class TestStrategy(bt.Strategy):
    params = dict(main=False)

    def __init__(self):
        btind.SMA()


def test_run(main=False):
    datas = [testcommon.getdata(i) for i in range(chkdatas)]
    cerebros = testcommon.runtest(datas,
                                  TestStrategy,
                                  main=main,
                                  plot=main,
                                  writer=(bt.WriterStringIO, dict(csv=True)))

    for cerebro in cerebros:
        writer = cerebro.runwriters[0]
        if main:
            # writer.out.seek(0)
            for l in writer.out:
                print(l.rstrip('\r\n'))

        else:
            lines = iter(writer.out)
            l = next(lines).rstrip('\r\n')
            assert l == '=' * 79

            count = 0
            while True:
                l = next(lines).rstrip('\r\n')
                if l[0] == '=':
                    break
                count += 1

            assert count == 256  # header + 256 lines data


if __name__ == '__main__':
    test_run(main=True)


================================================
FILE: tests/testcommon.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime
import os
import os.path
import sys

# append module root directory to sys.path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

import backtrader as bt
import backtrader.utils.flushfile
from backtrader.metabase import ParamsBase


modpath = os.path.dirname(os.path.abspath(__file__))
dataspath = '../datas'
datafiles = [
    '2006-day-001.txt',
    '2006-week-001.txt',
]

DATAFEED = bt.feeds.BacktraderCSVData

FROMDATE = datetime.datetime(2006, 1, 1)
TODATE = datetime.datetime(2006, 12, 31)


def getdata(index, fromdate=FROMDATE, todate=TODATE):

    datapath = os.path.join(modpath, dataspath, datafiles[index])
    data = DATAFEED(
        dataname=datapath,
        fromdate=fromdate,
        todate=todate)

    return data


def runtest(datas,
            strategy,
            runonce=None,
            preload=None,
            exbar=None,
            plot=False,
            optimize=False,
            maxcpus=1,
            writer=None,
            analyzer=None,
            **kwargs):

    runonces = [True, False] if runonce is None else [runonce]
    preloads = [True, False] if preload is None else [preload]
    exbars = [-2, -1, False] if exbar is None else [exbar]

    cerebros = list()
    for prload in preloads:
        for ronce in runonces:
            for exbar in exbars:
                cerebro = bt.Cerebro(runonce=ronce,
                                     preload=prload,
                                     maxcpus=maxcpus,
                                     exactbars=exbar)

                if kwargs.get('main', False):
                    print('prload {} / ronce {} exbar {}'.format(
                        prload, ronce, exbar))

                if isinstance(datas, bt.LineSeries):
                    datas = [datas]
                for data in datas:
                    cerebro.adddata(data)

                if not optimize:
                    cerebro.addstrategy(strategy, **kwargs)

                    if writer:
                        wr = writer[0]
                        wrkwargs = writer[1]
                        cerebro.addwriter(wr, **wrkwargs)

                    if analyzer:
                        al = analyzer[0]
                        alkwargs = analyzer[1]
                        cerebro.addanalyzer(al, **alkwargs)

                else:
                    cerebro.optstrategy(strategy, **kwargs)

                cerebro.run()
                if plot:
                    cerebro.plot()

                cerebros.append(cerebro)

    return cerebros


class TestStrategy(bt.Strategy):
    params = dict(main=False,
                  chkind=[],
                  inddata=[],
                  chkmin=1,
                  chknext=0,
                  chkvals=None,
                  chkargs=dict())

    def __init__(self):
        try:
            ind = self.p.chkind[0]
        except TypeError:
            chkind = [self.p.chkind]
        else:
            chkind = self.p.chkind

        if len(self.p.inddata):
            self.ind = chkind[0](*self.p.inddata, **self.p.chkargs)
        else:
            self.ind = chkind[0](self.data, **self.p.chkargs)

        for ind in chkind[1:]:
            ind(self.data)

        for data in self.datas[1:]:
            chkind[0](data, **self.p.chkargs)

            for ind in chkind[1:]:
                ind(data)

    def prenext(self):
        pass

    def nextstart(self):
        self.chkmin = len(self)
        super(TestStrategy, self).nextstart()

    def next(self):
        self.nextcalls += 1

        if self.p.main:
            dtstr = self.data.datetime.date(0).strftime('%Y-%m-%d')
            print('%s - %d - %f' % (dtstr, len(self), self.ind[0]))
            pstr = ', '.join(str(x) for x in
                             [self.data.open[0], self.data.high[0],
                              self.data.low[0], self.data.close[0]])
            print('%s - %d, %s' % (dtstr, len(self), pstr))

    def start(self):
        self.nextcalls = 0

    def stop(self):
        l = len(self.ind)
        mp = self.chkmin
        chkpts = [0, -l + mp, (-l + mp) // 2]

        if self.p.main:
            print('----------------------------------------')
            print('len ind %d == %d len self' % (l, len(self)))
            print('minperiod %d' % self.chkmin)
            print('self.p.chknext %d nextcalls %d'
                  % (self.p.chknext, self.nextcalls))

            print('chkpts are', chkpts)
            for chkpt in chkpts:
                dtstr = self.data.datetime.date(chkpt).strftime('%Y-%m-%d')
                print('chkpt %d -> %s' % (chkpt, dtstr))

            for lidx in range(self.ind.size()):
                chkvals = list()
                outtxt = '    ['
                for chkpt in chkpts:
                    valtxt = "'%f'" % self.ind.lines[lidx][chkpt]
                    outtxt += "'%s'," % valtxt
                    chkvals.append(valtxt)

                    outtxt = '    [' + ', '.join(chkvals) + '],'

                if lidx == self.ind.size() - 1:
                    outtxt = outtxt.rstrip(',')

                print(outtxt)

            print('vs expected')

            for chkval in self.p.chkvals:
                print(chkval)

        else:
            assert l == len(self)
            if self.p.chknext:
                assert self.p.chknext == self.nextcalls
            assert mp == self.p.chkmin
            for lidx, linevals in enumerate(self.p.chkvals):
                for i, chkpt in enumerate(chkpts):
                    chkval = '%f' % self.ind.lines[lidx][chkpt]
                    if not isinstance(linevals[i], tuple):
                        assert chkval == linevals[i]
                    else:
                        try:
                            assert chkval == linevals[i][0]
                        except AssertionError:
                            assert chkval == linevals[i][1]


class SampleParamsHolder(ParamsBase):
    """
    This class is used as base for tests that check the proper
    handling of meta parameters like `frompackages`, `packages`, `params`, `lines`
    in inherited classes
    """
    frompackages = (
        ('math', ('factorial')),
    )

    def __init__(self):
        self.range = factorial(10)


================================================
FILE: tools/bt-run.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import backtrader.btrun as btrun


if __name__ == '__main__':
    btrun.btrun()


================================================
FILE: tools/rewrite-data.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import os.path
import time
import sys


import backtrader as bt
from backtrader.utils.py3 import bytes


DATAFORMATS = dict(
    btcsv=bt.feeds.BacktraderCSVData,
    vchartcsv=bt.feeds.VChartCSVData,
    vchart=bt.feeds.VChartData,
    vcdata=bt.feeds.VCData,
    vcfile=bt.feeds.VChartFile,
    ibdata=bt.feeds.IBData,
    sierracsv=bt.feeds.SierraChartCSVData,
    mt4csv=bt.feeds.MT4CSVData,
    yahoocsv=bt.feeds.YahooFinanceCSVData,
    yahoocsv_unreversed=bt.feeds.YahooFinanceCSVData,
    yahoo=bt.feeds.YahooFinanceData,
)


class RewriteStrategy(bt.Strategy):
    params = (
        ('separator', ','),
        ('outfile', None),
    )

    def start(self):
        if self.p.outfile is None:
            self.f = sys.stdout
        else:
            self.f = open(self.p.outfile, 'wb')

        if self.data._timeframe < bt.TimeFrame.Days:
            headers = 'Date,Time,Open,High,Low,Close,Volume,OpenInterest'
        else:
            headers = 'Date,Open,High,Low,Close,Volume,OpenInterest'

        headers += '\n'
        self.f.write(bytes(headers))

    def next(self):
        fields = list()
        dt = self.data.datetime.date(0).strftime('%Y-%m-%d')
        fields.append(dt)
        if self.data._timeframe < bt.TimeFrame.Days:
            tm = self.data.datetime.time(0).strftime('%H:%M:%S')
            fields.append(tm)

        o = '%.2f' % self.data.open[0]
        fields.append(o)
        h = '%.2f' % self.data.high[0]
        fields.append(h)
        l = '%.2f' % self.data.low[0]
        fields.append(l)
        c = '%.2f' % self.data.close[0]
        fields.append(c)
        v = '%d' % self.data.volume[0]
        fields.append(v)
        oi = '%d' % self.data.openinterest[0]
        fields.append(oi)

        txt = self.p.separator.join(fields)
        txt += '\n'
        self.f.write(bytes(txt))


def runstrat(pargs=None):
    args = parse_args(pargs)

    cerebro = bt.Cerebro()

    dfkwargs = dict()
    if args.format == 'yahoo_unreversed':
        dfkwargs['reverse'] = True

    fmtstr = '%Y-%m-%d'
    if args.fromdate:
        dtsplit = args.fromdate.split('T')
        if len(dtsplit) > 1:
            fmtstr += 'T%H:%M:%S'

        fromdate = datetime.datetime.strptime(args.fromdate, fmtstr)
        dfkwargs['fromdate'] = fromdate

    fmtstr = '%Y-%m-%d'
    if args.todate:
        dtsplit = args.todate.split('T')
        if len(dtsplit) > 1:
            fmtstr += 'T%H:%M:%S'
        todate = datetime.datetime.strptime(args.todate, fmtstr)
        dfkwargs['todate'] = todate

    dfcls = DATAFORMATS[args.format]
    data = dfcls(dataname=args.infile, **dfkwargs)
    cerebro.adddata(data)

    cerebro.addstrategy(RewriteStrategy,
                        separator=args.separator,
                        outfile=args.outfile)

    cerebro.run(stdstats=False)

    if args.plot:
        pkwargs = dict(style='bar')
        if args.plot is not True:  # evals to True but is not True
            npkwargs = eval('dict(' + args.plot + ')')  # args were passed
            pkwargs.update(npkwargs)

        cerebro.plot(**pkwargs)


def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description='Rewrite formats to BacktraderCSVData format')

    parser.add_argument('--format', '-fmt', required=False,
                        choices=DATAFORMATS.keys(),
                        default=next(iter(DATAFORMATS)),
                        help='File to be read in')

    parser.add_argument('--infile', '-i', required=True,
                        help='File to be read in')

    parser.add_argument('--outfile', '-o', default=None, required=False,
                        help='File to write to')

    parser.add_argument('--fromdate', '-f', required=False,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', '-t', required=False,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--separator', '-s', required=False, default=',',
                        help='Plot the read data')

    # Plot options
    parser.add_argument('--plot', '-p', nargs='?', required=False,
                        metavar='kwargs', const=True,
                        help=('Plot the read data applying any kwargs passed\n'
                              '\n'
                              'For example:\n'
                              '\n'
                              '  --plot style="candle" (to plot candles)\n'))

    if pargs is not None:
        return parser.parse_args(pargs)

    return parser.parse_args()


if __name__ == '__main__':
    runstrat()


================================================
FILE: tools/yahoodownload.py
================================================
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import argparse
import collections
import datetime
import io
import logging
import sys


PY2 = sys.version_info.major == 2
if PY2:
    from urllib2 import urlopen
    from urllib import quote as urlquote
else:
    from urllib.request import urlopen
    from urllib.parse import quote as urlquote


logging.basicConfig(
    format='%(levelname)s: %(message)s',
    level=logging.INFO)


class YahooDownload(object):
    urlhist = 'https://finance.yahoo.com/quote/{}/history'
    urldown = 'https://query1.finance.yahoo.com/v7/finance/download'
    retries = 3

    def __init__(self, ticker, fromdate, todate, period='d', reverse=False):
        try:
            import requests
        except ImportError:
            msg = ('The new Yahoo data feed requires to have the requests '
                   'module installed. Please use pip install requests or '
                   'the method of your choice')
            raise Exception(msg)

        url = self.urlhist.format(ticker)

        sesskwargs = dict()
        if False and self.p.proxies:
            sesskwargs['proxies'] = self.p.proxies

        crumb = None
        sess = requests.Session()
        for i in range(self.retries + 1):  # at least once
            resp = sess.get(url, **sesskwargs)
            if resp.status_code != requests.codes.ok:
                continue

            txt = resp.text
            i = txt.find('CrumbStore')
            if i == -1:
                continue
            i = txt.find('crumb', i)
            if i == -1:
                continue
            istart = txt.find('"', i + len('crumb') + 1)
            if istart == -1:
                continue
            istart += 1
            iend = txt.find('"', istart)
            if iend == -1:
                continue

            crumb = txt[istart:iend]
            crumb = crumb.encode('ascii').decode('unicode-escape')
            break

        if crumb is None:
            self.error = 'Crumb not found'
            self.f = None
            return

        # urldown/ticker?period1=posix1&period2=posix2&interval=1d&events=history&crumb=crumb

        # Try to download
        urld = '{}/{}'.format(self.urldown, ticker)

        urlargs = []
        posix = datetime.date(1970, 1, 1)
        if todate is not None:
            period2 = (todate.date() - posix).total_seconds()
            urlargs.append('period2={}'.format(int(period2)))

        if todate is not None:
            period1 = (fromdate.date() - posix).total_seconds()
            urlargs.append('period1={}'.format(int(period1)))

        intervals = {
            'd': '1d',
            'w': '1wk',
            'm': '1mo',
        }

        urlargs.append('interval={}'.format(intervals[period]))
        urlargs.append('events=history')
        urlargs.append('crumb={}'.format(crumb))

        urld = '{}?{}'.format(urld, '&'.join(urlargs))
        f = None
        for i in range(self.retries + 1):  # at least once
            resp = sess.get(urld, **sesskwargs)
            if resp.status_code != requests.codes.ok:
                continue

            ctype = resp.headers['Content-Type']
            if 'text/csv' not in ctype:
                self.error = 'Wrong content type: %s' % ctype
                continue  # HTML returned? wrong url?

            # buffer everything from the socket into a local buffer
            try:
                # r.encoding = 'UTF-8'
                f = io.StringIO(resp.text, newline=None)
            except Exception:
                continue  # try again if possible

            break

        self.datafile = f

    def writetofile(self, filename):
        if not self.datafile:
            return

        if not hasattr(filename, 'read'):
            # It's not a file - open it
            f = io.open(filename, 'w')
        else:
            f = filename

        self.datafile.seek(0)
        for line in self.datafile:
            f.write(line)

        f.close()


def parse_args():
    parser = argparse.ArgumentParser(
        description='Download Yahoo CSV Finance Data')

    parser.add_argument('--ticker', required=True,
                        help='Ticker to be downloaded')

    parser.add_argument('--reverse', action='store_true', default=False,
                        help='Do reverse the downloaded files')

    parser.add_argument('--timeframe', default='d',
                        help='Timeframe: d -> day, w -> week, m -> month')

    parser.add_argument('--fromdate', required=True,
                        help='Starting date in YYYY-MM-DD format')

    parser.add_argument('--todate', required=True,
                        help='Ending date in YYYY-MM-DD format')

    parser.add_argument('--outfile', required=True,
                        help='Output file name')

    return parser.parse_args()


if __name__ == '__main__':

    args = parse_args()

    logging.info('Processing input parameters')
    logging.info('Processing fromdate')
    try:
        fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d')
    except Exception as e:
        logging.error('Converting fromdate failed')
        logging.error(str(e))
        sys.exit(1)

    logging.info('Processing todate')
    try:
        todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d')
    except Exception as e:
        logging.error('Converting todate failed')
        logging.error(str(e))
        sys.exit(1)

    logging.info('Do Not Reverse flag status')
    reverse = args.reverse

    logging.info('Downloading from yahoo')
    try:
        yahoodown = YahooDownload(
            ticker=args.ticker,
            fromdate=fromdate,
            todate=todate,
            period=args.timeframe,
            reverse=reverse)

    except Exception as e:
        logging.error('Downloading data from Yahoo failed')
        logging.error(str(e))
        sys.exit(1)

    logging.info('Opening output file')
    try:
        ofile = io.open(args.outfile, 'w')
    except IOError as e:
        logging.error('Error opening output file')
        logging.error(str(e))
        sys.exit(1)

    logging.info('Writing downloaded data to output file')
    try:
        yahoodown.writetofile(ofile)
    except Exception as e:
        logging.error('Writing to output file failed')
        logging.error(str(e))
        sys.exit(1)

    logging.info('All operations completed successfully')
    sys.exit(0)